diff --git a/dev/.documenter-siteinfo.json b/dev/.documenter-siteinfo.json
index 8fdf1407..e66d96dc 100644
--- a/dev/.documenter-siteinfo.json
+++ b/dev/.documenter-siteinfo.json
@@ -1 +1 @@
-{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-09-25T20:20:03","documenter_version":"1.0.1"}}
\ No newline at end of file
+{"documenter":{"julia_version":"1.9.3","generation_timestamp":"2023-11-07T07:46:11","documenter_version":"1.1.2"}}
\ No newline at end of file
diff --git a/dev/assets/documenter.js b/dev/assets/documenter.js
index 7002e251..f5311607 100644
--- a/dev/assets/documenter.js
+++ b/dev/assets/documenter.js
@@ -75,61 +75,76 @@ $(document).ready(function() {
 ////////////////////////////////////////////////////////////////////////////////
 require(['jquery'], function($) {
 
+let timer = 0;
 var isExpanded = true;
 
 $(document).on("click", ".docstring header", function () {
   let articleToggleTitle = "Expand docstring";
 
-  if ($(this).siblings("section").is(":visible")) {
-    $(this)
-      .find(".docstring-article-toggle-button")
-      .removeClass("fa-chevron-down")
-      .addClass("fa-chevron-right");
-  } else {
-    $(this)
-      .find(".docstring-article-toggle-button")
-      .removeClass("fa-chevron-right")
-      .addClass("fa-chevron-down");
+  debounce(() => {
+    if ($(this).siblings("section").is(":visible")) {
+      $(this)
+        .find(".docstring-article-toggle-button")
+        .removeClass("fa-chevron-down")
+        .addClass("fa-chevron-right");
+    } else {
+      $(this)
+        .find(".docstring-article-toggle-button")
+        .removeClass("fa-chevron-right")
+        .addClass("fa-chevron-down");
 
-    articleToggleTitle = "Collapse docstring";
-  }
+      articleToggleTitle = "Collapse docstring";
+    }
 
-  $(this)
-    .find(".docstring-article-toggle-button")
-    .prop("title", articleToggleTitle);
-  $(this).siblings("section").slideToggle();
+    $(this)
+      .find(".docstring-article-toggle-button")
+      .prop("title", articleToggleTitle);
+    $(this).siblings("section").slideToggle();
+  });
 });
 
 $(document).on("click", ".docs-article-toggle-button", function () {
   let articleToggleTitle = "Expand docstring";
   let navArticleToggleTitle = "Expand all docstrings";
 
-  if (isExpanded) {
-    $(this).removeClass("fa-chevron-up").addClass("fa-chevron-down");
-    $(".docstring-article-toggle-button")
-      .removeClass("fa-chevron-down")
-      .addClass("fa-chevron-right");
+  debounce(() => {
+    if (isExpanded) {
+      $(this).removeClass("fa-chevron-up").addClass("fa-chevron-down");
+      $(".docstring-article-toggle-button")
+        .removeClass("fa-chevron-down")
+        .addClass("fa-chevron-right");
 
-    isExpanded = false;
+      isExpanded = false;
 
-    $(".docstring section").slideUp();
-  } else {
-    $(this).removeClass("fa-chevron-down").addClass("fa-chevron-up");
-    $(".docstring-article-toggle-button")
-      .removeClass("fa-chevron-right")
-      .addClass("fa-chevron-down");
+      $(".docstring section").slideUp();
+    } else {
+      $(this).removeClass("fa-chevron-down").addClass("fa-chevron-up");
+      $(".docstring-article-toggle-button")
+        .removeClass("fa-chevron-right")
+        .addClass("fa-chevron-down");
 
-    isExpanded = true;
-    articleToggleTitle = "Collapse docstring";
-    navArticleToggleTitle = "Collapse all docstrings";
+      isExpanded = true;
+      articleToggleTitle = "Collapse docstring";
+      navArticleToggleTitle = "Collapse all docstrings";
 
-    $(".docstring section").slideDown();
-  }
+      $(".docstring section").slideDown();
+    }
 
-  $(this).prop("title", navArticleToggleTitle);
-  $(".docstring-article-toggle-button").prop("title", articleToggleTitle);
+    $(this).prop("title", navArticleToggleTitle);
+    $(".docstring-article-toggle-button").prop("title", articleToggleTitle);
+  });
 });
 
+function debounce(callback, timeout = 300) {
+  if (Date.now() - timer > timeout) {
+    callback();
+  }
+
+  clearTimeout(timer);
+
+  timer = Date.now();
+}
+
 })
 ////////////////////////////////////////////////////////////////////////////////
 require([], function() {
diff --git a/dev/assets/themes/documenter-dark.css b/dev/assets/themes/documenter-dark.css
index 691b83ab..ec054ecc 100644
--- a/dev/assets/themes/documenter-dark.css
+++ b/dev/assets/themes/documenter-dark.css
@@ -4,4 +4,4 @@
   Maintainer: @ericwbailey
 
   Based on the Tomorrow Night Eighties theme: https://github.com/isagalaev/highlight.js/blob/master/src/styles/tomorrow-night-eighties.css
-*/}html.theme--documenter-dark html{background-color:#1f2424;font-size:16px;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;min-width:300px;overflow-x:auto;overflow-y:scroll;text-rendering:optimizeLegibility;text-size-adjust:100%}html.theme--documenter-dark article,html.theme--documenter-dark aside,html.theme--documenter-dark figure,html.theme--documenter-dark footer,html.theme--documenter-dark header,html.theme--documenter-dark hgroup,html.theme--documenter-dark section{display:block}html.theme--documenter-dark body,html.theme--documenter-dark button,html.theme--documenter-dark input,html.theme--documenter-dark optgroup,html.theme--documenter-dark select,html.theme--documenter-dark textarea{font-family:"Lato Medium",-apple-system,BlinkMacSystemFont,"Segoe UI","Helvetica Neue","Helvetica","Arial",sans-serif}html.theme--documenter-dark code,html.theme--documenter-dark pre{-moz-osx-font-smoothing:auto;-webkit-font-smoothing:auto;font-family:"JuliaMono","SFMono-Regular","Menlo","Consolas","Liberation Mono","DejaVu Sans Mono",monospace}html.theme--documenter-dark body{color:#fff;font-size:1em;font-weight:400;line-height:1.5}html.theme--documenter-dark a{color:#1abc9c;cursor:pointer;text-decoration:none}html.theme--documenter-dark a strong{color:currentColor}html.theme--documenter-dark a:hover{color:#1dd2af}html.theme--documenter-dark code{background-color:rgba(255,255,255,0.05);color:#ececec;font-size:.875em;font-weight:normal;padding:.1em}html.theme--documenter-dark hr{background-color:#282f2f;border:none;display:block;height:2px;margin:1.5rem 0}html.theme--documenter-dark img{height:auto;max-width:100%}html.theme--documenter-dark input[type="checkbox"],html.theme--documenter-dark input[type="radio"]{vertical-align:baseline}html.theme--documenter-dark small{font-size:.875em}html.theme--documenter-dark span{font-style:inherit;font-weight:inherit}html.theme--documenter-dark strong{color:#f2f2f2;font-weight:700}html.theme--documenter-dark fieldset{border:none}html.theme--documenter-dark pre{-webkit-overflow-scrolling:touch;background-color:#282f2f;color:#fff;font-size:.875em;overflow-x:auto;padding:1.25rem 1.5rem;white-space:pre;word-wrap:normal}html.theme--documenter-dark pre code{background-color:transparent;color:currentColor;font-size:1em;padding:0}html.theme--documenter-dark table td,html.theme--documenter-dark table th{vertical-align:top}html.theme--documenter-dark table td:not([align]),html.theme--documenter-dark table th:not([align]){text-align:inherit}html.theme--documenter-dark table th{color:#f2f2f2}html.theme--documenter-dark .box{background-color:#343c3d;border-radius:8px;box-shadow:none;color:#fff;display:block;padding:1.25rem}html.theme--documenter-dark a.box:hover,html.theme--documenter-dark a.box:focus{box-shadow:0 0.5em 1em -0.125em rgba(10,10,10,0.1),0 0 0 1px #1abc9c}html.theme--documenter-dark a.box:active{box-shadow:inset 0 1px 2px rgba(10,10,10,0.2),0 0 0 1px #1abc9c}html.theme--documenter-dark .button{background-color:#282f2f;border-color:#4c5759;border-width:1px;color:#375a7f;cursor:pointer;justify-content:center;padding-bottom:calc(0.5em - 1px);padding-left:1em;padding-right:1em;padding-top:calc(0.5em - 1px);text-align:center;white-space:nowrap}html.theme--documenter-dark .button strong{color:inherit}html.theme--documenter-dark .button .icon,html.theme--documenter-dark .button .icon.is-small,html.theme--documenter-dark .button #documenter .docs-sidebar form.docs-search>input.icon,html.theme--documenter-dark #documenter .docs-sidebar .button form.docs-search>input.icon,html.theme--documenter-dark .button .icon.is-medium,html.theme--documenter-dark .button .icon.is-large{height:1.5em;width:1.5em}html.theme--documenter-dark .button .icon:first-child:not(:last-child){margin-left:calc(-0.5em - 1px);margin-right:.25em}html.theme--documenter-dark .button .icon:last-child:not(:first-child){margin-left:.25em;margin-right:calc(-0.5em - 1px)}html.theme--documenter-dark .button .icon:first-child:last-child{margin-left:calc(-0.5em - 1px);margin-right:calc(-0.5em - 1px)}html.theme--documenter-dark .button:hover,html.theme--documenter-dark .button.is-hovered{border-color:#8c9b9d;color:#f2f2f2}html.theme--documenter-dark .button:focus,html.theme--documenter-dark .button.is-focused{border-color:#8c9b9d;color:#17a689}html.theme--documenter-dark .button:focus:not(:active),html.theme--documenter-dark .button.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .button:active,html.theme--documenter-dark .button.is-active{border-color:#343c3d;color:#f2f2f2}html.theme--documenter-dark .button.is-text{background-color:transparent;border-color:transparent;color:#fff;text-decoration:underline}html.theme--documenter-dark .button.is-text:hover,html.theme--documenter-dark .button.is-text.is-hovered,html.theme--documenter-dark .button.is-text:focus,html.theme--documenter-dark .button.is-text.is-focused{background-color:#282f2f;color:#f2f2f2}html.theme--documenter-dark .button.is-text:active,html.theme--documenter-dark .button.is-text.is-active{background-color:#1d2122;color:#f2f2f2}html.theme--documenter-dark .button.is-text[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-text{background-color:transparent;border-color:transparent;box-shadow:none}html.theme--documenter-dark .button.is-ghost{background:none;border-color:rgba(0,0,0,0);color:#1abc9c;text-decoration:none}html.theme--documenter-dark .button.is-ghost:hover,html.theme--documenter-dark .button.is-ghost.is-hovered{color:#1abc9c;text-decoration:underline}html.theme--documenter-dark .button.is-white{background-color:#fff;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:hover,html.theme--documenter-dark .button.is-white.is-hovered{background-color:#f9f9f9;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:focus,html.theme--documenter-dark .button.is-white.is-focused{border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:focus:not(:active),html.theme--documenter-dark .button.is-white.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .button.is-white:active,html.theme--documenter-dark .button.is-white.is-active{background-color:#f2f2f2;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white{background-color:#fff;border-color:#fff;box-shadow:none}html.theme--documenter-dark .button.is-white.is-inverted{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted:hover,html.theme--documenter-dark .button.is-white.is-inverted.is-hovered{background-color:#000}html.theme--documenter-dark .button.is-white.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-inverted{background-color:#0a0a0a;border-color:transparent;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-white.is-loading::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-white.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-white.is-outlined:hover,html.theme--documenter-dark .button.is-white.is-outlined.is-hovered,html.theme--documenter-dark .button.is-white.is-outlined:focus,html.theme--documenter-dark .button.is-white.is-outlined.is-focused{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-white.is-outlined.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-white.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-white.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined{background-color:transparent;border-color:#0a0a0a;color:#0a0a0a}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-focused{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-inverted.is-outlined{background-color:transparent;border-color:#0a0a0a;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black{background-color:#0a0a0a;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:hover,html.theme--documenter-dark .button.is-black.is-hovered{background-color:#040404;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:focus,html.theme--documenter-dark .button.is-black.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:focus:not(:active),html.theme--documenter-dark .button.is-black.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .button.is-black:active,html.theme--documenter-dark .button.is-black.is-active{background-color:#000;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black{background-color:#0a0a0a;border-color:#0a0a0a;box-shadow:none}html.theme--documenter-dark .button.is-black.is-inverted{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted:hover,html.theme--documenter-dark .button.is-black.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-black.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-black.is-outlined{background-color:transparent;border-color:#0a0a0a;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-outlined:hover,html.theme--documenter-dark .button.is-black.is-outlined.is-hovered,html.theme--documenter-dark .button.is-black.is-outlined:focus,html.theme--documenter-dark .button.is-black.is-outlined.is-focused{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-black.is-outlined.is-loading::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-black.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-black.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-outlined{background-color:transparent;border-color:#0a0a0a;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-focused{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-light{background-color:#ecf0f1;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:hover,html.theme--documenter-dark .button.is-light.is-hovered{background-color:#e5eaec;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:focus,html.theme--documenter-dark .button.is-light.is-focused{border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:focus:not(:active),html.theme--documenter-dark .button.is-light.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .button.is-light:active,html.theme--documenter-dark .button.is-light.is-active{background-color:#dde4e6;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light{background-color:#ecf0f1;border-color:#ecf0f1;box-shadow:none}html.theme--documenter-dark .button.is-light.is-inverted{background-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted:hover,html.theme--documenter-dark .button.is-light.is-inverted.is-hovered{background-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-inverted{background-color:rgba(0,0,0,0.7);border-color:transparent;box-shadow:none;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-loading::after{border-color:transparent transparent rgba(0,0,0,0.7) rgba(0,0,0,0.7) !important}html.theme--documenter-dark .button.is-light.is-outlined{background-color:transparent;border-color:#ecf0f1;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-outlined:hover,html.theme--documenter-dark .button.is-light.is-outlined.is-hovered,html.theme--documenter-dark .button.is-light.is-outlined:focus,html.theme--documenter-dark .button.is-light.is-outlined.is-focused{background-color:#ecf0f1;border-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-outlined.is-loading::after{border-color:transparent transparent #ecf0f1 #ecf0f1 !important}html.theme--documenter-dark .button.is-light.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading.is-focused::after{border-color:transparent transparent rgba(0,0,0,0.7) rgba(0,0,0,0.7) !important}html.theme--documenter-dark .button.is-light.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-outlined{background-color:transparent;border-color:#ecf0f1;box-shadow:none;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined{background-color:transparent;border-color:rgba(0,0,0,0.7);color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-focused{background-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #ecf0f1 #ecf0f1 !important}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-inverted.is-outlined{background-color:transparent;border-color:rgba(0,0,0,0.7);box-shadow:none;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-dark,html.theme--documenter-dark .content kbd.button{background-color:#282f2f;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:hover,html.theme--documenter-dark .content kbd.button:hover,html.theme--documenter-dark .button.is-dark.is-hovered,html.theme--documenter-dark .content kbd.button.is-hovered{background-color:#232829;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:focus,html.theme--documenter-dark .content kbd.button:focus,html.theme--documenter-dark .button.is-dark.is-focused,html.theme--documenter-dark .content kbd.button.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:focus:not(:active),html.theme--documenter-dark .content kbd.button:focus:not(:active),html.theme--documenter-dark .button.is-dark.is-focused:not(:active),html.theme--documenter-dark .content kbd.button.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .button.is-dark:active,html.theme--documenter-dark .content kbd.button:active,html.theme--documenter-dark .button.is-dark.is-active,html.theme--documenter-dark .content kbd.button.is-active{background-color:#1d2122;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark[disabled],html.theme--documenter-dark .content kbd.button[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark,fieldset[disabled] html.theme--documenter-dark .content kbd.button{background-color:#282f2f;border-color:#282f2f;box-shadow:none}html.theme--documenter-dark .button.is-dark.is-inverted,html.theme--documenter-dark .content kbd.button.is-inverted{background-color:#fff;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted:hover,html.theme--documenter-dark .content kbd.button.is-inverted:hover,html.theme--documenter-dark .button.is-dark.is-inverted.is-hovered,html.theme--documenter-dark .content kbd.button.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-dark.is-inverted[disabled],html.theme--documenter-dark .content kbd.button.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-inverted,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-loading::after,html.theme--documenter-dark .content kbd.button.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-dark.is-outlined,html.theme--documenter-dark .content kbd.button.is-outlined{background-color:transparent;border-color:#282f2f;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-outlined:hover,html.theme--documenter-dark .content kbd.button.is-outlined:hover,html.theme--documenter-dark .button.is-dark.is-outlined.is-hovered,html.theme--documenter-dark .content kbd.button.is-outlined.is-hovered,html.theme--documenter-dark .button.is-dark.is-outlined:focus,html.theme--documenter-dark .content kbd.button.is-outlined:focus,html.theme--documenter-dark .button.is-dark.is-outlined.is-focused,html.theme--documenter-dark .content kbd.button.is-outlined.is-focused{background-color:#282f2f;border-color:#282f2f;color:#fff}html.theme--documenter-dark .button.is-dark.is-outlined.is-loading::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading::after{border-color:transparent transparent #282f2f #282f2f !important}html.theme--documenter-dark .button.is-dark.is-outlined.is-loading:hover::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading:focus::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-dark.is-outlined[disabled],html.theme--documenter-dark .content kbd.button.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-outlined,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-outlined{background-color:transparent;border-color:#282f2f;box-shadow:none;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined:hover,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined:focus,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-focused,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-focused{background-color:#fff;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #282f2f #282f2f !important}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined[disabled],html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-primary,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink{background-color:#375a7f;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:hover,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-hovered.docs-sourcelink{background-color:#335476;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:focus,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:focus:not(:active),html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus:not(:active),html.theme--documenter-dark .button.is-primary.is-focused:not(:active),html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink:not(:active){box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .button.is-primary:active,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary.is-active,html.theme--documenter-dark .docstring>section>a.button.is-active.docs-sourcelink{background-color:#2f4d6d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary[disabled],html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink{background-color:#375a7f;border-color:#375a7f;box-shadow:none}html.theme--documenter-dark .button.is-primary.is-inverted,html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink{background-color:#fff;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted:hover,html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-inverted.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-hovered.docs-sourcelink{background-color:#f2f2f2}html.theme--documenter-dark .button.is-primary.is-inverted[disabled],html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-inverted,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink{background-color:#fff;border-color:transparent;box-shadow:none;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-loading::after,html.theme--documenter-dark .docstring>section>a.button.is-loading.docs-sourcelink::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-primary.is-outlined,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink{background-color:transparent;border-color:#375a7f;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-outlined:hover,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-outlined.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-outlined:focus,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-outlined.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-focused.docs-sourcelink{background-color:#375a7f;border-color:#375a7f;color:#fff}html.theme--documenter-dark .button.is-primary.is-outlined.is-loading::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink::after{border-color:transparent transparent #375a7f #375a7f !important}html.theme--documenter-dark .button.is-primary.is-outlined.is-loading:hover::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink:hover::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.is-hovered.docs-sourcelink::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading:focus::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink:focus::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.is-focused.docs-sourcelink::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-primary.is-outlined[disabled],html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-outlined,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink{background-color:transparent;border-color:#375a7f;box-shadow:none;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined:hover,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined:focus,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-focused.docs-sourcelink{background-color:#fff;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.docs-sourcelink:hover::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.is-hovered.docs-sourcelink::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.docs-sourcelink:focus::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.is-focused.docs-sourcelink::after{border-color:transparent transparent #375a7f #375a7f !important}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined[disabled],html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-primary.is-light,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink{background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .button.is-primary.is-light:hover,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-light.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-light.is-hovered.docs-sourcelink{background-color:#e8eef5;border-color:transparent;color:#4d7eb2}html.theme--documenter-dark .button.is-primary.is-light:active,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary.is-light.is-active,html.theme--documenter-dark .docstring>section>a.button.is-light.is-active.docs-sourcelink{background-color:#dfe8f1;border-color:transparent;color:#4d7eb2}html.theme--documenter-dark .button.is-link{background-color:#1abc9c;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:hover,html.theme--documenter-dark .button.is-link.is-hovered{background-color:#18b193;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:focus,html.theme--documenter-dark .button.is-link.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:focus:not(:active),html.theme--documenter-dark .button.is-link.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .button.is-link:active,html.theme--documenter-dark .button.is-link.is-active{background-color:#17a689;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link{background-color:#1abc9c;border-color:#1abc9c;box-shadow:none}html.theme--documenter-dark .button.is-link.is-inverted{background-color:#fff;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted:hover,html.theme--documenter-dark .button.is-link.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-link.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-link.is-outlined{background-color:transparent;border-color:#1abc9c;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-outlined:hover,html.theme--documenter-dark .button.is-link.is-outlined.is-hovered,html.theme--documenter-dark .button.is-link.is-outlined:focus,html.theme--documenter-dark .button.is-link.is-outlined.is-focused{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .button.is-link.is-outlined.is-loading::after{border-color:transparent transparent #1abc9c #1abc9c !important}html.theme--documenter-dark .button.is-link.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-link.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-outlined{background-color:transparent;border-color:#1abc9c;box-shadow:none;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-focused{background-color:#fff;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #1abc9c #1abc9c !important}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-link.is-light{background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .button.is-link.is-light:hover,html.theme--documenter-dark .button.is-link.is-light.is-hovered{background-color:#e2fbf6;border-color:transparent;color:#15987e}html.theme--documenter-dark .button.is-link.is-light:active,html.theme--documenter-dark .button.is-link.is-light.is-active{background-color:#d7f9f3;border-color:transparent;color:#15987e}html.theme--documenter-dark .button.is-info{background-color:#024c7d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:hover,html.theme--documenter-dark .button.is-info.is-hovered{background-color:#024470;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:focus,html.theme--documenter-dark .button.is-info.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:focus:not(:active),html.theme--documenter-dark .button.is-info.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .button.is-info:active,html.theme--documenter-dark .button.is-info.is-active{background-color:#023d64;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info{background-color:#024c7d;border-color:#024c7d;box-shadow:none}html.theme--documenter-dark .button.is-info.is-inverted{background-color:#fff;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted:hover,html.theme--documenter-dark .button.is-info.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-info.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#024c7d}html.theme--documenter-dark .button.is-info.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-info.is-outlined{background-color:transparent;border-color:#024c7d;color:#024c7d}html.theme--documenter-dark .button.is-info.is-outlined:hover,html.theme--documenter-dark .button.is-info.is-outlined.is-hovered,html.theme--documenter-dark .button.is-info.is-outlined:focus,html.theme--documenter-dark .button.is-info.is-outlined.is-focused{background-color:#024c7d;border-color:#024c7d;color:#fff}html.theme--documenter-dark .button.is-info.is-outlined.is-loading::after{border-color:transparent transparent #024c7d #024c7d !important}html.theme--documenter-dark .button.is-info.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-info.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-outlined{background-color:transparent;border-color:#024c7d;box-shadow:none;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-focused{background-color:#fff;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #024c7d #024c7d !important}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-info.is-light{background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .button.is-info.is-light:hover,html.theme--documenter-dark .button.is-info.is-light.is-hovered{background-color:#def2fe;border-color:transparent;color:#0e9dfb}html.theme--documenter-dark .button.is-info.is-light:active,html.theme--documenter-dark .button.is-info.is-light.is-active{background-color:#d2edfe;border-color:transparent;color:#0e9dfb}html.theme--documenter-dark .button.is-success{background-color:#008438;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:hover,html.theme--documenter-dark .button.is-success.is-hovered{background-color:#073;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:focus,html.theme--documenter-dark .button.is-success.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:focus:not(:active),html.theme--documenter-dark .button.is-success.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .button.is-success:active,html.theme--documenter-dark .button.is-success.is-active{background-color:#006b2d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success{background-color:#008438;border-color:#008438;box-shadow:none}html.theme--documenter-dark .button.is-success.is-inverted{background-color:#fff;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted:hover,html.theme--documenter-dark .button.is-success.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-success.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#008438}html.theme--documenter-dark .button.is-success.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-success.is-outlined{background-color:transparent;border-color:#008438;color:#008438}html.theme--documenter-dark .button.is-success.is-outlined:hover,html.theme--documenter-dark .button.is-success.is-outlined.is-hovered,html.theme--documenter-dark .button.is-success.is-outlined:focus,html.theme--documenter-dark .button.is-success.is-outlined.is-focused{background-color:#008438;border-color:#008438;color:#fff}html.theme--documenter-dark .button.is-success.is-outlined.is-loading::after{border-color:transparent transparent #008438 #008438 !important}html.theme--documenter-dark .button.is-success.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-success.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-outlined{background-color:transparent;border-color:#008438;box-shadow:none;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-focused{background-color:#fff;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #008438 #008438 !important}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-success.is-light{background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .button.is-success.is-light:hover,html.theme--documenter-dark .button.is-success.is-light.is-hovered{background-color:#deffec;border-color:transparent;color:#00eb64}html.theme--documenter-dark .button.is-success.is-light:active,html.theme--documenter-dark .button.is-success.is-light.is-active{background-color:#d1ffe5;border-color:transparent;color:#00eb64}html.theme--documenter-dark .button.is-warning{background-color:#ad8100;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:hover,html.theme--documenter-dark .button.is-warning.is-hovered{background-color:#a07700;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:focus,html.theme--documenter-dark .button.is-warning.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:focus:not(:active),html.theme--documenter-dark .button.is-warning.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .button.is-warning:active,html.theme--documenter-dark .button.is-warning.is-active{background-color:#946e00;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning{background-color:#ad8100;border-color:#ad8100;box-shadow:none}html.theme--documenter-dark .button.is-warning.is-inverted{background-color:#fff;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted:hover,html.theme--documenter-dark .button.is-warning.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-warning.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-warning.is-outlined{background-color:transparent;border-color:#ad8100;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-outlined:hover,html.theme--documenter-dark .button.is-warning.is-outlined.is-hovered,html.theme--documenter-dark .button.is-warning.is-outlined:focus,html.theme--documenter-dark .button.is-warning.is-outlined.is-focused{background-color:#ad8100;border-color:#ad8100;color:#fff}html.theme--documenter-dark .button.is-warning.is-outlined.is-loading::after{border-color:transparent transparent #ad8100 #ad8100 !important}html.theme--documenter-dark .button.is-warning.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-warning.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-outlined{background-color:transparent;border-color:#ad8100;box-shadow:none;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-focused{background-color:#fff;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #ad8100 #ad8100 !important}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-warning.is-light{background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .button.is-warning.is-light:hover,html.theme--documenter-dark .button.is-warning.is-light.is-hovered{background-color:#fff7de;border-color:transparent;color:#d19c00}html.theme--documenter-dark .button.is-warning.is-light:active,html.theme--documenter-dark .button.is-warning.is-light.is-active{background-color:#fff3d1;border-color:transparent;color:#d19c00}html.theme--documenter-dark .button.is-danger{background-color:#9e1b0d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:hover,html.theme--documenter-dark .button.is-danger.is-hovered{background-color:#92190c;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:focus,html.theme--documenter-dark .button.is-danger.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:focus:not(:active),html.theme--documenter-dark .button.is-danger.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .button.is-danger:active,html.theme--documenter-dark .button.is-danger.is-active{background-color:#86170b;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger{background-color:#9e1b0d;border-color:#9e1b0d;box-shadow:none}html.theme--documenter-dark .button.is-danger.is-inverted{background-color:#fff;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted:hover,html.theme--documenter-dark .button.is-danger.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-danger.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-danger.is-outlined{background-color:transparent;border-color:#9e1b0d;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-outlined:hover,html.theme--documenter-dark .button.is-danger.is-outlined.is-hovered,html.theme--documenter-dark .button.is-danger.is-outlined:focus,html.theme--documenter-dark .button.is-danger.is-outlined.is-focused{background-color:#9e1b0d;border-color:#9e1b0d;color:#fff}html.theme--documenter-dark .button.is-danger.is-outlined.is-loading::after{border-color:transparent transparent #9e1b0d #9e1b0d !important}html.theme--documenter-dark .button.is-danger.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-danger.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-outlined{background-color:transparent;border-color:#9e1b0d;box-shadow:none;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-focused{background-color:#fff;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #9e1b0d #9e1b0d !important}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-danger.is-light{background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .button.is-danger.is-light:hover,html.theme--documenter-dark .button.is-danger.is-light.is-hovered{background-color:#fce3e0;border-color:transparent;color:#ec311d}html.theme--documenter-dark .button.is-danger.is-light:active,html.theme--documenter-dark .button.is-danger.is-light.is-active{background-color:#fcd8d5;border-color:transparent;color:#ec311d}html.theme--documenter-dark .button.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button{font-size:.75rem}html.theme--documenter-dark .button.is-small:not(.is-rounded),html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button:not(.is-rounded){border-radius:3px}html.theme--documenter-dark .button.is-normal{font-size:1rem}html.theme--documenter-dark .button.is-medium{font-size:1.25rem}html.theme--documenter-dark .button.is-large{font-size:1.5rem}html.theme--documenter-dark .button[disabled],fieldset[disabled] html.theme--documenter-dark .button{background-color:#8c9b9d;border-color:#5e6d6f;box-shadow:none;opacity:.5}html.theme--documenter-dark .button.is-fullwidth{display:flex;width:100%}html.theme--documenter-dark .button.is-loading{color:transparent !important;pointer-events:none}html.theme--documenter-dark .button.is-loading::after{position:absolute;left:calc(50% - (1em * 0.5));top:calc(50% - (1em * 0.5));position:absolute !important}html.theme--documenter-dark .button.is-static{background-color:#282f2f;border-color:#5e6d6f;color:#dbdee0;box-shadow:none;pointer-events:none}html.theme--documenter-dark .button.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button{border-radius:9999px;padding-left:calc(1em + 0.25em);padding-right:calc(1em + 0.25em)}html.theme--documenter-dark .buttons{align-items:center;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .buttons .button{margin-bottom:0.5rem}html.theme--documenter-dark .buttons .button:not(:last-child):not(.is-fullwidth){margin-right:.5rem}html.theme--documenter-dark .buttons:last-child{margin-bottom:-0.5rem}html.theme--documenter-dark .buttons:not(:last-child){margin-bottom:1rem}html.theme--documenter-dark .buttons.are-small .button:not(.is-normal):not(.is-medium):not(.is-large){font-size:.75rem}html.theme--documenter-dark .buttons.are-small .button:not(.is-normal):not(.is-medium):not(.is-large):not(.is-rounded){border-radius:3px}html.theme--documenter-dark .buttons.are-medium .button:not(.is-small):not(.is-normal):not(.is-large){font-size:1.25rem}html.theme--documenter-dark .buttons.are-large .button:not(.is-small):not(.is-normal):not(.is-medium){font-size:1.5rem}html.theme--documenter-dark .buttons.has-addons .button:not(:first-child){border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .buttons.has-addons .button:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;margin-right:-1px}html.theme--documenter-dark .buttons.has-addons .button:last-child{margin-right:0}html.theme--documenter-dark .buttons.has-addons .button:hover,html.theme--documenter-dark .buttons.has-addons .button.is-hovered{z-index:2}html.theme--documenter-dark .buttons.has-addons .button:focus,html.theme--documenter-dark .buttons.has-addons .button.is-focused,html.theme--documenter-dark .buttons.has-addons .button:active,html.theme--documenter-dark .buttons.has-addons .button.is-active,html.theme--documenter-dark .buttons.has-addons .button.is-selected{z-index:3}html.theme--documenter-dark .buttons.has-addons .button:focus:hover,html.theme--documenter-dark .buttons.has-addons .button.is-focused:hover,html.theme--documenter-dark .buttons.has-addons .button:active:hover,html.theme--documenter-dark .buttons.has-addons .button.is-active:hover,html.theme--documenter-dark .buttons.has-addons .button.is-selected:hover{z-index:4}html.theme--documenter-dark .buttons.has-addons .button.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .buttons.is-centered{justify-content:center}html.theme--documenter-dark .buttons.is-centered:not(.has-addons) .button:not(.is-fullwidth){margin-left:0.25rem;margin-right:0.25rem}html.theme--documenter-dark .buttons.is-right{justify-content:flex-end}html.theme--documenter-dark .buttons.is-right:not(.has-addons) .button:not(.is-fullwidth){margin-left:0.25rem;margin-right:0.25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .button.is-responsive.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-responsive{font-size:.5625rem}html.theme--documenter-dark .button.is-responsive,html.theme--documenter-dark .button.is-responsive.is-normal{font-size:.65625rem}html.theme--documenter-dark .button.is-responsive.is-medium{font-size:.75rem}html.theme--documenter-dark .button.is-responsive.is-large{font-size:1rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .button.is-responsive.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-responsive{font-size:.65625rem}html.theme--documenter-dark .button.is-responsive,html.theme--documenter-dark .button.is-responsive.is-normal{font-size:.75rem}html.theme--documenter-dark .button.is-responsive.is-medium{font-size:1rem}html.theme--documenter-dark .button.is-responsive.is-large{font-size:1.25rem}}html.theme--documenter-dark .container{flex-grow:1;margin:0 auto;position:relative;width:auto}html.theme--documenter-dark .container.is-fluid{max-width:none !important;padding-left:32px;padding-right:32px;width:100%}@media screen and (min-width: 1056px){html.theme--documenter-dark .container{max-width:992px}}@media screen and (max-width: 1215px){html.theme--documenter-dark .container.is-widescreen:not(.is-max-desktop){max-width:1152px}}@media screen and (max-width: 1407px){html.theme--documenter-dark .container.is-fullhd:not(.is-max-desktop):not(.is-max-widescreen){max-width:1344px}}@media screen and (min-width: 1216px){html.theme--documenter-dark .container:not(.is-max-desktop){max-width:1152px}}@media screen and (min-width: 1408px){html.theme--documenter-dark .container:not(.is-max-desktop):not(.is-max-widescreen){max-width:1344px}}html.theme--documenter-dark .content li+li{margin-top:0.25em}html.theme--documenter-dark .content p:not(:last-child),html.theme--documenter-dark .content dl:not(:last-child),html.theme--documenter-dark .content ol:not(:last-child),html.theme--documenter-dark .content ul:not(:last-child),html.theme--documenter-dark .content blockquote:not(:last-child),html.theme--documenter-dark .content pre:not(:last-child),html.theme--documenter-dark .content table:not(:last-child){margin-bottom:1em}html.theme--documenter-dark .content h1,html.theme--documenter-dark .content h2,html.theme--documenter-dark .content h3,html.theme--documenter-dark .content h4,html.theme--documenter-dark .content h5,html.theme--documenter-dark .content h6{color:#f2f2f2;font-weight:600;line-height:1.125}html.theme--documenter-dark .content h1{font-size:2em;margin-bottom:0.5em}html.theme--documenter-dark .content h1:not(:first-child){margin-top:1em}html.theme--documenter-dark .content h2{font-size:1.75em;margin-bottom:0.5714em}html.theme--documenter-dark .content h2:not(:first-child){margin-top:1.1428em}html.theme--documenter-dark .content h3{font-size:1.5em;margin-bottom:0.6666em}html.theme--documenter-dark .content h3:not(:first-child){margin-top:1.3333em}html.theme--documenter-dark .content h4{font-size:1.25em;margin-bottom:0.8em}html.theme--documenter-dark .content h5{font-size:1.125em;margin-bottom:0.8888em}html.theme--documenter-dark .content h6{font-size:1em;margin-bottom:1em}html.theme--documenter-dark .content blockquote{background-color:#282f2f;border-left:5px solid #5e6d6f;padding:1.25em 1.5em}html.theme--documenter-dark .content ol{list-style-position:outside;margin-left:2em;margin-top:1em}html.theme--documenter-dark .content ol:not([type]){list-style-type:decimal}html.theme--documenter-dark .content ol.is-lower-alpha:not([type]){list-style-type:lower-alpha}html.theme--documenter-dark .content ol.is-lower-roman:not([type]){list-style-type:lower-roman}html.theme--documenter-dark .content ol.is-upper-alpha:not([type]){list-style-type:upper-alpha}html.theme--documenter-dark .content ol.is-upper-roman:not([type]){list-style-type:upper-roman}html.theme--documenter-dark .content ul{list-style:disc outside;margin-left:2em;margin-top:1em}html.theme--documenter-dark .content ul ul{list-style-type:circle;margin-top:0.5em}html.theme--documenter-dark .content ul ul ul{list-style-type:square}html.theme--documenter-dark .content dd{margin-left:2em}html.theme--documenter-dark .content figure{margin-left:2em;margin-right:2em;text-align:center}html.theme--documenter-dark .content figure:not(:first-child){margin-top:2em}html.theme--documenter-dark .content figure:not(:last-child){margin-bottom:2em}html.theme--documenter-dark .content figure img{display:inline-block}html.theme--documenter-dark .content figure figcaption{font-style:italic}html.theme--documenter-dark .content pre{-webkit-overflow-scrolling:touch;overflow-x:auto;padding:0;white-space:pre;word-wrap:normal}html.theme--documenter-dark .content sup,html.theme--documenter-dark .content sub{font-size:75%}html.theme--documenter-dark .content table{width:100%}html.theme--documenter-dark .content table td,html.theme--documenter-dark .content table th{border:1px solid #5e6d6f;border-width:0 0 1px;padding:0.5em 0.75em;vertical-align:top}html.theme--documenter-dark .content table th{color:#f2f2f2}html.theme--documenter-dark .content table th:not([align]){text-align:inherit}html.theme--documenter-dark .content table thead td,html.theme--documenter-dark .content table thead th{border-width:0 0 2px;color:#f2f2f2}html.theme--documenter-dark .content table tfoot td,html.theme--documenter-dark .content table tfoot th{border-width:2px 0 0;color:#f2f2f2}html.theme--documenter-dark .content table tbody tr:last-child td,html.theme--documenter-dark .content table tbody tr:last-child th{border-bottom-width:0}html.theme--documenter-dark .content .tabs li+li{margin-top:0}html.theme--documenter-dark .content.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.content{font-size:.75rem}html.theme--documenter-dark .content.is-normal{font-size:1rem}html.theme--documenter-dark .content.is-medium{font-size:1.25rem}html.theme--documenter-dark .content.is-large{font-size:1.5rem}html.theme--documenter-dark .icon{align-items:center;display:inline-flex;justify-content:center;height:1.5rem;width:1.5rem}html.theme--documenter-dark .icon.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.icon{height:1rem;width:1rem}html.theme--documenter-dark .icon.is-medium{height:2rem;width:2rem}html.theme--documenter-dark .icon.is-large{height:3rem;width:3rem}html.theme--documenter-dark .icon-text{align-items:flex-start;color:inherit;display:inline-flex;flex-wrap:wrap;line-height:1.5rem;vertical-align:top}html.theme--documenter-dark .icon-text .icon{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .icon-text .icon:not(:last-child){margin-right:.25em}html.theme--documenter-dark .icon-text .icon:not(:first-child){margin-left:.25em}html.theme--documenter-dark div.icon-text{display:flex}html.theme--documenter-dark .image,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img{display:block;position:relative}html.theme--documenter-dark .image img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img img{display:block;height:auto;width:100%}html.theme--documenter-dark .image img.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img img.is-rounded{border-radius:9999px}html.theme--documenter-dark .image.is-fullwidth,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-fullwidth{width:100%}html.theme--documenter-dark .image.is-square img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square img,html.theme--documenter-dark .image.is-square .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square .has-ratio,html.theme--documenter-dark .image.is-1by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1 img,html.theme--documenter-dark .image.is-1by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1 .has-ratio,html.theme--documenter-dark .image.is-5by4 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4 img,html.theme--documenter-dark .image.is-5by4 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4 .has-ratio,html.theme--documenter-dark .image.is-4by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3 img,html.theme--documenter-dark .image.is-4by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3 .has-ratio,html.theme--documenter-dark .image.is-3by2 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2 img,html.theme--documenter-dark .image.is-3by2 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2 .has-ratio,html.theme--documenter-dark .image.is-5by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3 img,html.theme--documenter-dark .image.is-5by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3 .has-ratio,html.theme--documenter-dark .image.is-16by9 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9 img,html.theme--documenter-dark .image.is-16by9 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9 .has-ratio,html.theme--documenter-dark .image.is-2by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1 img,html.theme--documenter-dark .image.is-2by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1 .has-ratio,html.theme--documenter-dark .image.is-3by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1 img,html.theme--documenter-dark .image.is-3by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1 .has-ratio,html.theme--documenter-dark .image.is-4by5 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5 img,html.theme--documenter-dark .image.is-4by5 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5 .has-ratio,html.theme--documenter-dark .image.is-3by4 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4 img,html.theme--documenter-dark .image.is-3by4 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4 .has-ratio,html.theme--documenter-dark .image.is-2by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3 img,html.theme--documenter-dark .image.is-2by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3 .has-ratio,html.theme--documenter-dark .image.is-3by5 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5 img,html.theme--documenter-dark .image.is-3by5 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5 .has-ratio,html.theme--documenter-dark .image.is-9by16 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16 img,html.theme--documenter-dark .image.is-9by16 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16 .has-ratio,html.theme--documenter-dark .image.is-1by2 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2 img,html.theme--documenter-dark .image.is-1by2 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2 .has-ratio,html.theme--documenter-dark .image.is-1by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3 img,html.theme--documenter-dark .image.is-1by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3 .has-ratio{height:100%;width:100%}html.theme--documenter-dark .image.is-square,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square,html.theme--documenter-dark .image.is-1by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1{padding-top:100%}html.theme--documenter-dark .image.is-5by4,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4{padding-top:80%}html.theme--documenter-dark .image.is-4by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3{padding-top:75%}html.theme--documenter-dark .image.is-3by2,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2{padding-top:66.6666%}html.theme--documenter-dark .image.is-5by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3{padding-top:60%}html.theme--documenter-dark .image.is-16by9,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9{padding-top:56.25%}html.theme--documenter-dark .image.is-2by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1{padding-top:50%}html.theme--documenter-dark .image.is-3by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1{padding-top:33.3333%}html.theme--documenter-dark .image.is-4by5,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5{padding-top:125%}html.theme--documenter-dark .image.is-3by4,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4{padding-top:133.3333%}html.theme--documenter-dark .image.is-2by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3{padding-top:150%}html.theme--documenter-dark .image.is-3by5,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5{padding-top:166.6666%}html.theme--documenter-dark .image.is-9by16,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16{padding-top:177.7777%}html.theme--documenter-dark .image.is-1by2,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2{padding-top:200%}html.theme--documenter-dark .image.is-1by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3{padding-top:300%}html.theme--documenter-dark .image.is-16x16,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16x16{height:16px;width:16px}html.theme--documenter-dark .image.is-24x24,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-24x24{height:24px;width:24px}html.theme--documenter-dark .image.is-32x32,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-32x32{height:32px;width:32px}html.theme--documenter-dark .image.is-48x48,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-48x48{height:48px;width:48px}html.theme--documenter-dark .image.is-64x64,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-64x64{height:64px;width:64px}html.theme--documenter-dark .image.is-96x96,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-96x96{height:96px;width:96px}html.theme--documenter-dark .image.is-128x128,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-128x128{height:128px;width:128px}html.theme--documenter-dark .notification{background-color:#282f2f;border-radius:.4em;position:relative;padding:1.25rem 2.5rem 1.25rem 1.5rem}html.theme--documenter-dark .notification a:not(.button):not(.dropdown-item){color:currentColor;text-decoration:underline}html.theme--documenter-dark .notification strong{color:currentColor}html.theme--documenter-dark .notification code,html.theme--documenter-dark .notification pre{background:#fff}html.theme--documenter-dark .notification pre code{background:transparent}html.theme--documenter-dark .notification>.delete{right:.5rem;position:absolute;top:0.5rem}html.theme--documenter-dark .notification .title,html.theme--documenter-dark .notification .subtitle,html.theme--documenter-dark .notification .content{color:currentColor}html.theme--documenter-dark .notification.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .notification.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .notification.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .notification.is-dark,html.theme--documenter-dark .content kbd.notification{background-color:#282f2f;color:#fff}html.theme--documenter-dark .notification.is-primary,html.theme--documenter-dark .docstring>section>a.notification.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .notification.is-primary.is-light,html.theme--documenter-dark .docstring>section>a.notification.is-light.docs-sourcelink{background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .notification.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .notification.is-link.is-light{background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .notification.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .notification.is-info.is-light{background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .notification.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .notification.is-success.is-light{background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .notification.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .notification.is-warning.is-light{background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .notification.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .notification.is-danger.is-light{background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .progress{-moz-appearance:none;-webkit-appearance:none;border:none;border-radius:9999px;display:block;height:1rem;overflow:hidden;padding:0;width:100%}html.theme--documenter-dark .progress::-webkit-progress-bar{background-color:#343c3d}html.theme--documenter-dark .progress::-webkit-progress-value{background-color:#dbdee0}html.theme--documenter-dark .progress::-moz-progress-bar{background-color:#dbdee0}html.theme--documenter-dark .progress::-ms-fill{background-color:#dbdee0;border:none}html.theme--documenter-dark .progress.is-white::-webkit-progress-value{background-color:#fff}html.theme--documenter-dark .progress.is-white::-moz-progress-bar{background-color:#fff}html.theme--documenter-dark .progress.is-white::-ms-fill{background-color:#fff}html.theme--documenter-dark .progress.is-white:indeterminate{background-image:linear-gradient(to right, #fff 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-black::-webkit-progress-value{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black::-moz-progress-bar{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black::-ms-fill{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black:indeterminate{background-image:linear-gradient(to right, #0a0a0a 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-light::-webkit-progress-value{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light::-moz-progress-bar{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light::-ms-fill{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light:indeterminate{background-image:linear-gradient(to right, #ecf0f1 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-dark::-webkit-progress-value,html.theme--documenter-dark .content kbd.progress::-webkit-progress-value{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark::-moz-progress-bar,html.theme--documenter-dark .content kbd.progress::-moz-progress-bar{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark::-ms-fill,html.theme--documenter-dark .content kbd.progress::-ms-fill{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark:indeterminate,html.theme--documenter-dark .content kbd.progress:indeterminate{background-image:linear-gradient(to right, #282f2f 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-primary::-webkit-progress-value,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-webkit-progress-value{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary::-moz-progress-bar,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-moz-progress-bar{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary::-ms-fill,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-ms-fill{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary:indeterminate,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink:indeterminate{background-image:linear-gradient(to right, #375a7f 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-link::-webkit-progress-value{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link::-moz-progress-bar{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link::-ms-fill{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link:indeterminate{background-image:linear-gradient(to right, #1abc9c 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-info::-webkit-progress-value{background-color:#024c7d}html.theme--documenter-dark .progress.is-info::-moz-progress-bar{background-color:#024c7d}html.theme--documenter-dark .progress.is-info::-ms-fill{background-color:#024c7d}html.theme--documenter-dark .progress.is-info:indeterminate{background-image:linear-gradient(to right, #024c7d 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-success::-webkit-progress-value{background-color:#008438}html.theme--documenter-dark .progress.is-success::-moz-progress-bar{background-color:#008438}html.theme--documenter-dark .progress.is-success::-ms-fill{background-color:#008438}html.theme--documenter-dark .progress.is-success:indeterminate{background-image:linear-gradient(to right, #008438 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-warning::-webkit-progress-value{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning::-moz-progress-bar{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning::-ms-fill{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning:indeterminate{background-image:linear-gradient(to right, #ad8100 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-danger::-webkit-progress-value{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger::-moz-progress-bar{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger::-ms-fill{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger:indeterminate{background-image:linear-gradient(to right, #9e1b0d 30%, #343c3d 30%)}html.theme--documenter-dark .progress:indeterminate{animation-duration:1.5s;animation-iteration-count:infinite;animation-name:moveIndeterminate;animation-timing-function:linear;background-color:#343c3d;background-image:linear-gradient(to right, #fff 30%, #343c3d 30%);background-position:top left;background-repeat:no-repeat;background-size:150% 150%}html.theme--documenter-dark .progress:indeterminate::-webkit-progress-bar{background-color:transparent}html.theme--documenter-dark .progress:indeterminate::-moz-progress-bar{background-color:transparent}html.theme--documenter-dark .progress:indeterminate::-ms-fill{animation-name:none}html.theme--documenter-dark .progress.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.progress{height:.75rem}html.theme--documenter-dark .progress.is-medium{height:1.25rem}html.theme--documenter-dark .progress.is-large{height:1.5rem}@keyframes moveIndeterminate{from{background-position:200% 0}to{background-position:-200% 0}}html.theme--documenter-dark .table{background-color:#343c3d;color:#fff}html.theme--documenter-dark .table td,html.theme--documenter-dark .table th{border:1px solid #5e6d6f;border-width:0 0 1px;padding:0.5em 0.75em;vertical-align:top}html.theme--documenter-dark .table td.is-white,html.theme--documenter-dark .table th.is-white{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .table td.is-black,html.theme--documenter-dark .table th.is-black{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .table td.is-light,html.theme--documenter-dark .table th.is-light{background-color:#ecf0f1;border-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .table td.is-dark,html.theme--documenter-dark .table th.is-dark{background-color:#282f2f;border-color:#282f2f;color:#fff}html.theme--documenter-dark .table td.is-primary,html.theme--documenter-dark .table th.is-primary{background-color:#375a7f;border-color:#375a7f;color:#fff}html.theme--documenter-dark .table td.is-link,html.theme--documenter-dark .table th.is-link{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .table td.is-info,html.theme--documenter-dark .table th.is-info{background-color:#024c7d;border-color:#024c7d;color:#fff}html.theme--documenter-dark .table td.is-success,html.theme--documenter-dark .table th.is-success{background-color:#008438;border-color:#008438;color:#fff}html.theme--documenter-dark .table td.is-warning,html.theme--documenter-dark .table th.is-warning{background-color:#ad8100;border-color:#ad8100;color:#fff}html.theme--documenter-dark .table td.is-danger,html.theme--documenter-dark .table th.is-danger{background-color:#9e1b0d;border-color:#9e1b0d;color:#fff}html.theme--documenter-dark .table td.is-narrow,html.theme--documenter-dark .table th.is-narrow{white-space:nowrap;width:1%}html.theme--documenter-dark .table td.is-selected,html.theme--documenter-dark .table th.is-selected{background-color:#375a7f;color:#fff}html.theme--documenter-dark .table td.is-selected a,html.theme--documenter-dark .table td.is-selected strong,html.theme--documenter-dark .table th.is-selected a,html.theme--documenter-dark .table th.is-selected strong{color:currentColor}html.theme--documenter-dark .table td.is-vcentered,html.theme--documenter-dark .table th.is-vcentered{vertical-align:middle}html.theme--documenter-dark .table th{color:#f2f2f2}html.theme--documenter-dark .table th:not([align]){text-align:left}html.theme--documenter-dark .table tr.is-selected{background-color:#375a7f;color:#fff}html.theme--documenter-dark .table tr.is-selected a,html.theme--documenter-dark .table tr.is-selected strong{color:currentColor}html.theme--documenter-dark .table tr.is-selected td,html.theme--documenter-dark .table tr.is-selected th{border-color:#fff;color:currentColor}html.theme--documenter-dark .table thead{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table thead td,html.theme--documenter-dark .table thead th{border-width:0 0 2px;color:#f2f2f2}html.theme--documenter-dark .table tfoot{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table tfoot td,html.theme--documenter-dark .table tfoot th{border-width:2px 0 0;color:#f2f2f2}html.theme--documenter-dark .table tbody{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table tbody tr:last-child td,html.theme--documenter-dark .table tbody tr:last-child th{border-bottom-width:0}html.theme--documenter-dark .table.is-bordered td,html.theme--documenter-dark .table.is-bordered th{border-width:1px}html.theme--documenter-dark .table.is-bordered tr:last-child td,html.theme--documenter-dark .table.is-bordered tr:last-child th{border-bottom-width:1px}html.theme--documenter-dark .table.is-fullwidth{width:100%}html.theme--documenter-dark .table.is-hoverable tbody tr:not(.is-selected):hover{background-color:#282f2f}html.theme--documenter-dark .table.is-hoverable.is-striped tbody tr:not(.is-selected):hover{background-color:#282f2f}html.theme--documenter-dark .table.is-hoverable.is-striped tbody tr:not(.is-selected):hover:nth-child(even){background-color:#2d3435}html.theme--documenter-dark .table.is-narrow td,html.theme--documenter-dark .table.is-narrow th{padding:0.25em 0.5em}html.theme--documenter-dark .table.is-striped tbody tr:not(.is-selected):nth-child(even){background-color:#282f2f}html.theme--documenter-dark .table-container{-webkit-overflow-scrolling:touch;overflow:auto;overflow-y:hidden;max-width:100%}html.theme--documenter-dark .tags{align-items:center;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .tags .tag,html.theme--documenter-dark .tags .content kbd,html.theme--documenter-dark .content .tags kbd,html.theme--documenter-dark .tags .docstring>section>a.docs-sourcelink{margin-bottom:0.5rem}html.theme--documenter-dark .tags .tag:not(:last-child),html.theme--documenter-dark .tags .content kbd:not(:last-child),html.theme--documenter-dark .content .tags kbd:not(:last-child),html.theme--documenter-dark .tags .docstring>section>a.docs-sourcelink:not(:last-child){margin-right:.5rem}html.theme--documenter-dark .tags:last-child{margin-bottom:-0.5rem}html.theme--documenter-dark .tags:not(:last-child){margin-bottom:1rem}html.theme--documenter-dark .tags.are-medium .tag:not(.is-normal):not(.is-large),html.theme--documenter-dark .tags.are-medium .content kbd:not(.is-normal):not(.is-large),html.theme--documenter-dark .content .tags.are-medium kbd:not(.is-normal):not(.is-large),html.theme--documenter-dark .tags.are-medium .docstring>section>a.docs-sourcelink:not(.is-normal):not(.is-large){font-size:1rem}html.theme--documenter-dark .tags.are-large .tag:not(.is-normal):not(.is-medium),html.theme--documenter-dark .tags.are-large .content kbd:not(.is-normal):not(.is-medium),html.theme--documenter-dark .content .tags.are-large kbd:not(.is-normal):not(.is-medium),html.theme--documenter-dark .tags.are-large .docstring>section>a.docs-sourcelink:not(.is-normal):not(.is-medium){font-size:1.25rem}html.theme--documenter-dark .tags.is-centered{justify-content:center}html.theme--documenter-dark .tags.is-centered .tag,html.theme--documenter-dark .tags.is-centered .content kbd,html.theme--documenter-dark .content .tags.is-centered kbd,html.theme--documenter-dark .tags.is-centered .docstring>section>a.docs-sourcelink{margin-right:0.25rem;margin-left:0.25rem}html.theme--documenter-dark .tags.is-right{justify-content:flex-end}html.theme--documenter-dark .tags.is-right .tag:not(:first-child),html.theme--documenter-dark .tags.is-right .content kbd:not(:first-child),html.theme--documenter-dark .content .tags.is-right kbd:not(:first-child),html.theme--documenter-dark .tags.is-right .docstring>section>a.docs-sourcelink:not(:first-child){margin-left:0.5rem}html.theme--documenter-dark .tags.is-right .tag:not(:last-child),html.theme--documenter-dark .tags.is-right .content kbd:not(:last-child),html.theme--documenter-dark .content .tags.is-right kbd:not(:last-child),html.theme--documenter-dark .tags.is-right .docstring>section>a.docs-sourcelink:not(:last-child){margin-right:0}html.theme--documenter-dark .tags.has-addons .tag,html.theme--documenter-dark .tags.has-addons .content kbd,html.theme--documenter-dark .content .tags.has-addons kbd,html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink{margin-right:0}html.theme--documenter-dark .tags.has-addons .tag:not(:first-child),html.theme--documenter-dark .tags.has-addons .content kbd:not(:first-child),html.theme--documenter-dark .content .tags.has-addons kbd:not(:first-child),html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink:not(:first-child){margin-left:0;border-top-left-radius:0;border-bottom-left-radius:0}html.theme--documenter-dark .tags.has-addons .tag:not(:last-child),html.theme--documenter-dark .tags.has-addons .content kbd:not(:last-child),html.theme--documenter-dark .content .tags.has-addons kbd:not(:last-child),html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}html.theme--documenter-dark .tag:not(body),html.theme--documenter-dark .content kbd:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body){align-items:center;background-color:#282f2f;border-radius:.4em;color:#fff;display:inline-flex;font-size:.75rem;height:2em;justify-content:center;line-height:1.5;padding-left:0.75em;padding-right:0.75em;white-space:nowrap}html.theme--documenter-dark .tag:not(body) .delete,html.theme--documenter-dark .content kbd:not(body) .delete,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .delete{margin-left:.25rem;margin-right:-.375rem}html.theme--documenter-dark .tag.is-white:not(body),html.theme--documenter-dark .content kbd.is-white:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-white:not(body){background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .tag.is-black:not(body),html.theme--documenter-dark .content kbd.is-black:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-black:not(body){background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .tag.is-light:not(body),html.theme--documenter-dark .content kbd.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-light:not(body){background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .tag.is-dark:not(body),html.theme--documenter-dark .content kbd:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-dark:not(body),html.theme--documenter-dark .content .docstring>section>kbd:not(body){background-color:#282f2f;color:#fff}html.theme--documenter-dark .tag.is-primary:not(body),html.theme--documenter-dark .content kbd.is-primary:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body){background-color:#375a7f;color:#fff}html.theme--documenter-dark .tag.is-primary.is-light:not(body),html.theme--documenter-dark .content kbd.is-primary.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-light:not(body){background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .tag.is-link:not(body),html.theme--documenter-dark .content kbd.is-link:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-link:not(body){background-color:#1abc9c;color:#fff}html.theme--documenter-dark .tag.is-link.is-light:not(body),html.theme--documenter-dark .content kbd.is-link.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-link.is-light:not(body){background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .tag.is-info:not(body),html.theme--documenter-dark .content kbd.is-info:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-info:not(body){background-color:#024c7d;color:#fff}html.theme--documenter-dark .tag.is-info.is-light:not(body),html.theme--documenter-dark .content kbd.is-info.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-info.is-light:not(body){background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .tag.is-success:not(body),html.theme--documenter-dark .content kbd.is-success:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-success:not(body){background-color:#008438;color:#fff}html.theme--documenter-dark .tag.is-success.is-light:not(body),html.theme--documenter-dark .content kbd.is-success.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-success.is-light:not(body){background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .tag.is-warning:not(body),html.theme--documenter-dark .content kbd.is-warning:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-warning:not(body){background-color:#ad8100;color:#fff}html.theme--documenter-dark .tag.is-warning.is-light:not(body),html.theme--documenter-dark .content kbd.is-warning.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-warning.is-light:not(body){background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .tag.is-danger:not(body),html.theme--documenter-dark .content kbd.is-danger:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-danger:not(body){background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .tag.is-danger.is-light:not(body),html.theme--documenter-dark .content kbd.is-danger.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-danger.is-light:not(body){background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .tag.is-normal:not(body),html.theme--documenter-dark .content kbd.is-normal:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-normal:not(body){font-size:.75rem}html.theme--documenter-dark .tag.is-medium:not(body),html.theme--documenter-dark .content kbd.is-medium:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-medium:not(body){font-size:1rem}html.theme--documenter-dark .tag.is-large:not(body),html.theme--documenter-dark .content kbd.is-large:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-large:not(body){font-size:1.25rem}html.theme--documenter-dark .tag:not(body) .icon:first-child:not(:last-child),html.theme--documenter-dark .content kbd:not(body) .icon:first-child:not(:last-child),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:first-child:not(:last-child){margin-left:-.375em;margin-right:.1875em}html.theme--documenter-dark .tag:not(body) .icon:last-child:not(:first-child),html.theme--documenter-dark .content kbd:not(body) .icon:last-child:not(:first-child),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:last-child:not(:first-child){margin-left:.1875em;margin-right:-.375em}html.theme--documenter-dark .tag:not(body) .icon:first-child:last-child,html.theme--documenter-dark .content kbd:not(body) .icon:first-child:last-child,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:first-child:last-child{margin-left:-.375em;margin-right:-.375em}html.theme--documenter-dark .tag.is-delete:not(body),html.theme--documenter-dark .content kbd.is-delete:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body){margin-left:1px;padding:0;position:relative;width:2em}html.theme--documenter-dark .tag.is-delete:not(body)::before,html.theme--documenter-dark .content kbd.is-delete:not(body)::before,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::before,html.theme--documenter-dark .tag.is-delete:not(body)::after,html.theme--documenter-dark .content kbd.is-delete:not(body)::after,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::after{background-color:currentColor;content:"";display:block;left:50%;position:absolute;top:50%;transform:translateX(-50%) translateY(-50%) rotate(45deg);transform-origin:center center}html.theme--documenter-dark .tag.is-delete:not(body)::before,html.theme--documenter-dark .content kbd.is-delete:not(body)::before,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::before{height:1px;width:50%}html.theme--documenter-dark .tag.is-delete:not(body)::after,html.theme--documenter-dark .content kbd.is-delete:not(body)::after,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::after{height:50%;width:1px}html.theme--documenter-dark .tag.is-delete:not(body):hover,html.theme--documenter-dark .content kbd.is-delete:not(body):hover,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):hover,html.theme--documenter-dark .tag.is-delete:not(body):focus,html.theme--documenter-dark .content kbd.is-delete:not(body):focus,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):focus{background-color:#1d2122}html.theme--documenter-dark .tag.is-delete:not(body):active,html.theme--documenter-dark .content kbd.is-delete:not(body):active,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):active{background-color:#111414}html.theme--documenter-dark .tag.is-rounded:not(body),html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:not(body),html.theme--documenter-dark .content kbd.is-rounded:not(body),html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-rounded:not(body){border-radius:9999px}html.theme--documenter-dark a.tag:hover,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:hover{text-decoration:underline}html.theme--documenter-dark .title,html.theme--documenter-dark .subtitle{word-break:break-word}html.theme--documenter-dark .title em,html.theme--documenter-dark .title span,html.theme--documenter-dark .subtitle em,html.theme--documenter-dark .subtitle span{font-weight:inherit}html.theme--documenter-dark .title sub,html.theme--documenter-dark .subtitle sub{font-size:.75em}html.theme--documenter-dark .title sup,html.theme--documenter-dark .subtitle sup{font-size:.75em}html.theme--documenter-dark .title .tag,html.theme--documenter-dark .title .content kbd,html.theme--documenter-dark .content .title kbd,html.theme--documenter-dark .title .docstring>section>a.docs-sourcelink,html.theme--documenter-dark .subtitle .tag,html.theme--documenter-dark .subtitle .content kbd,html.theme--documenter-dark .content .subtitle kbd,html.theme--documenter-dark .subtitle .docstring>section>a.docs-sourcelink{vertical-align:middle}html.theme--documenter-dark .title{color:#fff;font-size:2rem;font-weight:500;line-height:1.125}html.theme--documenter-dark .title strong{color:inherit;font-weight:inherit}html.theme--documenter-dark .title:not(.is-spaced)+.subtitle{margin-top:-1.25rem}html.theme--documenter-dark .title.is-1{font-size:3rem}html.theme--documenter-dark .title.is-2{font-size:2.5rem}html.theme--documenter-dark .title.is-3{font-size:2rem}html.theme--documenter-dark .title.is-4{font-size:1.5rem}html.theme--documenter-dark .title.is-5{font-size:1.25rem}html.theme--documenter-dark .title.is-6{font-size:1rem}html.theme--documenter-dark .title.is-7{font-size:.75rem}html.theme--documenter-dark .subtitle{color:#8c9b9d;font-size:1.25rem;font-weight:400;line-height:1.25}html.theme--documenter-dark .subtitle strong{color:#8c9b9d;font-weight:600}html.theme--documenter-dark .subtitle:not(.is-spaced)+.title{margin-top:-1.25rem}html.theme--documenter-dark .subtitle.is-1{font-size:3rem}html.theme--documenter-dark .subtitle.is-2{font-size:2.5rem}html.theme--documenter-dark .subtitle.is-3{font-size:2rem}html.theme--documenter-dark .subtitle.is-4{font-size:1.5rem}html.theme--documenter-dark .subtitle.is-5{font-size:1.25rem}html.theme--documenter-dark .subtitle.is-6{font-size:1rem}html.theme--documenter-dark .subtitle.is-7{font-size:.75rem}html.theme--documenter-dark .heading{display:block;font-size:11px;letter-spacing:1px;margin-bottom:5px;text-transform:uppercase}html.theme--documenter-dark .number{align-items:center;background-color:#282f2f;border-radius:9999px;display:inline-flex;font-size:1.25rem;height:2em;justify-content:center;margin-right:1.5rem;min-width:2.5em;padding:0.25rem 0.5rem;text-align:center;vertical-align:top}html.theme--documenter-dark .select select,html.theme--documenter-dark .textarea,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{background-color:#1f2424;border-color:#5e6d6f;border-radius:.4em;color:#dbdee0}html.theme--documenter-dark .select select::-moz-placeholder,html.theme--documenter-dark .textarea::-moz-placeholder,html.theme--documenter-dark .input::-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-moz-placeholder{color:#868c98}html.theme--documenter-dark .select select::-webkit-input-placeholder,html.theme--documenter-dark .textarea::-webkit-input-placeholder,html.theme--documenter-dark .input::-webkit-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-webkit-input-placeholder{color:#868c98}html.theme--documenter-dark .select select:-moz-placeholder,html.theme--documenter-dark .textarea:-moz-placeholder,html.theme--documenter-dark .input:-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-moz-placeholder{color:#868c98}html.theme--documenter-dark .select select:-ms-input-placeholder,html.theme--documenter-dark .textarea:-ms-input-placeholder,html.theme--documenter-dark .input:-ms-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-ms-input-placeholder{color:#868c98}html.theme--documenter-dark .select select:hover,html.theme--documenter-dark .textarea:hover,html.theme--documenter-dark .input:hover,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:hover,html.theme--documenter-dark .select select.is-hovered,html.theme--documenter-dark .is-hovered.textarea,html.theme--documenter-dark .is-hovered.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-hovered{border-color:#8c9b9d}html.theme--documenter-dark .select select:focus,html.theme--documenter-dark .textarea:focus,html.theme--documenter-dark .input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:focus,html.theme--documenter-dark .select select.is-focused,html.theme--documenter-dark .is-focused.textarea,html.theme--documenter-dark .is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .select select:active,html.theme--documenter-dark .textarea:active,html.theme--documenter-dark .input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:active,html.theme--documenter-dark .select select.is-active,html.theme--documenter-dark .is-active.textarea,html.theme--documenter-dark .is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{border-color:#1abc9c;box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .select select[disabled],html.theme--documenter-dark .textarea[disabled],html.theme--documenter-dark .input[disabled],html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled],fieldset[disabled] html.theme--documenter-dark .select select,fieldset[disabled] html.theme--documenter-dark .textarea,fieldset[disabled] html.theme--documenter-dark .input,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{background-color:#8c9b9d;border-color:#282f2f;box-shadow:none;color:#fff}html.theme--documenter-dark .select select[disabled]::-moz-placeholder,html.theme--documenter-dark .textarea[disabled]::-moz-placeholder,html.theme--documenter-dark .input[disabled]::-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .select select::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .input::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-moz-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]::-webkit-input-placeholder,html.theme--documenter-dark .textarea[disabled]::-webkit-input-placeholder,html.theme--documenter-dark .input[disabled]::-webkit-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .select select::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .input::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-webkit-input-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]:-moz-placeholder,html.theme--documenter-dark .textarea[disabled]:-moz-placeholder,html.theme--documenter-dark .input[disabled]:-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .select select:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .input:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-moz-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]:-ms-input-placeholder,html.theme--documenter-dark .textarea[disabled]:-ms-input-placeholder,html.theme--documenter-dark .input[disabled]:-ms-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .select select:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .input:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-ms-input-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .textarea,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{box-shadow:inset 0 0.0625em 0.125em rgba(10,10,10,0.05);max-width:100%;width:100%}html.theme--documenter-dark .textarea[readonly],html.theme--documenter-dark .input[readonly],html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[readonly]{box-shadow:none}html.theme--documenter-dark .is-white.textarea,html.theme--documenter-dark .is-white.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white{border-color:#fff}html.theme--documenter-dark .is-white.textarea:focus,html.theme--documenter-dark .is-white.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white:focus,html.theme--documenter-dark .is-white.is-focused.textarea,html.theme--documenter-dark .is-white.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-white.textarea:active,html.theme--documenter-dark .is-white.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white:active,html.theme--documenter-dark .is-white.is-active.textarea,html.theme--documenter-dark .is-white.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .is-black.textarea,html.theme--documenter-dark .is-black.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black{border-color:#0a0a0a}html.theme--documenter-dark .is-black.textarea:focus,html.theme--documenter-dark .is-black.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black:focus,html.theme--documenter-dark .is-black.is-focused.textarea,html.theme--documenter-dark .is-black.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-black.textarea:active,html.theme--documenter-dark .is-black.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black:active,html.theme--documenter-dark .is-black.is-active.textarea,html.theme--documenter-dark .is-black.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .is-light.textarea,html.theme--documenter-dark .is-light.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light{border-color:#ecf0f1}html.theme--documenter-dark .is-light.textarea:focus,html.theme--documenter-dark .is-light.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light:focus,html.theme--documenter-dark .is-light.is-focused.textarea,html.theme--documenter-dark .is-light.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-light.textarea:active,html.theme--documenter-dark .is-light.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light:active,html.theme--documenter-dark .is-light.is-active.textarea,html.theme--documenter-dark .is-light.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .is-dark.textarea,html.theme--documenter-dark .content kbd.textarea,html.theme--documenter-dark .is-dark.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark,html.theme--documenter-dark .content kbd.input{border-color:#282f2f}html.theme--documenter-dark .is-dark.textarea:focus,html.theme--documenter-dark .content kbd.textarea:focus,html.theme--documenter-dark .is-dark.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark:focus,html.theme--documenter-dark .content kbd.input:focus,html.theme--documenter-dark .is-dark.is-focused.textarea,html.theme--documenter-dark .content kbd.is-focused.textarea,html.theme--documenter-dark .is-dark.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .content kbd.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input.is-focused,html.theme--documenter-dark .is-dark.textarea:active,html.theme--documenter-dark .content kbd.textarea:active,html.theme--documenter-dark .is-dark.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark:active,html.theme--documenter-dark .content kbd.input:active,html.theme--documenter-dark .is-dark.is-active.textarea,html.theme--documenter-dark .content kbd.is-active.textarea,html.theme--documenter-dark .is-dark.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active,html.theme--documenter-dark .content kbd.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .is-primary.textarea,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink{border-color:#375a7f}html.theme--documenter-dark .is-primary.textarea:focus,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink:focus,html.theme--documenter-dark .is-primary.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary:focus,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink:focus,html.theme--documenter-dark .is-primary.is-focused.textarea,html.theme--documenter-dark .docstring>section>a.is-focused.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .docstring>section>a.is-focused.input.docs-sourcelink,html.theme--documenter-dark .is-primary.textarea:active,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink:active,html.theme--documenter-dark .is-primary.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary:active,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink:active,html.theme--documenter-dark .is-primary.is-active.textarea,html.theme--documenter-dark .docstring>section>a.is-active.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active,html.theme--documenter-dark .docstring>section>a.is-active.input.docs-sourcelink{box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .is-link.textarea,html.theme--documenter-dark .is-link.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link{border-color:#1abc9c}html.theme--documenter-dark .is-link.textarea:focus,html.theme--documenter-dark .is-link.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link:focus,html.theme--documenter-dark .is-link.is-focused.textarea,html.theme--documenter-dark .is-link.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-link.textarea:active,html.theme--documenter-dark .is-link.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link:active,html.theme--documenter-dark .is-link.is-active.textarea,html.theme--documenter-dark .is-link.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .is-info.textarea,html.theme--documenter-dark .is-info.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info{border-color:#024c7d}html.theme--documenter-dark .is-info.textarea:focus,html.theme--documenter-dark .is-info.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info:focus,html.theme--documenter-dark .is-info.is-focused.textarea,html.theme--documenter-dark .is-info.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-info.textarea:active,html.theme--documenter-dark .is-info.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info:active,html.theme--documenter-dark .is-info.is-active.textarea,html.theme--documenter-dark .is-info.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .is-success.textarea,html.theme--documenter-dark .is-success.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success{border-color:#008438}html.theme--documenter-dark .is-success.textarea:focus,html.theme--documenter-dark .is-success.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success:focus,html.theme--documenter-dark .is-success.is-focused.textarea,html.theme--documenter-dark .is-success.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-success.textarea:active,html.theme--documenter-dark .is-success.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success:active,html.theme--documenter-dark .is-success.is-active.textarea,html.theme--documenter-dark .is-success.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .is-warning.textarea,html.theme--documenter-dark .is-warning.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning{border-color:#ad8100}html.theme--documenter-dark .is-warning.textarea:focus,html.theme--documenter-dark .is-warning.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning:focus,html.theme--documenter-dark .is-warning.is-focused.textarea,html.theme--documenter-dark .is-warning.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-warning.textarea:active,html.theme--documenter-dark .is-warning.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning:active,html.theme--documenter-dark .is-warning.is-active.textarea,html.theme--documenter-dark .is-warning.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .is-danger.textarea,html.theme--documenter-dark .is-danger.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger{border-color:#9e1b0d}html.theme--documenter-dark .is-danger.textarea:focus,html.theme--documenter-dark .is-danger.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger:focus,html.theme--documenter-dark .is-danger.is-focused.textarea,html.theme--documenter-dark .is-danger.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-danger.textarea:active,html.theme--documenter-dark .is-danger.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger:active,html.theme--documenter-dark .is-danger.is-active.textarea,html.theme--documenter-dark .is-danger.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .is-small.textarea,html.theme--documenter-dark .is-small.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{border-radius:3px;font-size:.75rem}html.theme--documenter-dark .is-medium.textarea,html.theme--documenter-dark .is-medium.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-medium{font-size:1.25rem}html.theme--documenter-dark .is-large.textarea,html.theme--documenter-dark .is-large.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-large{font-size:1.5rem}html.theme--documenter-dark .is-fullwidth.textarea,html.theme--documenter-dark .is-fullwidth.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-fullwidth{display:block;width:100%}html.theme--documenter-dark .is-inline.textarea,html.theme--documenter-dark .is-inline.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-inline{display:inline;width:auto}html.theme--documenter-dark .input.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{border-radius:9999px;padding-left:calc(calc(0.75em - 1px) + 0.375em);padding-right:calc(calc(0.75em - 1px) + 0.375em)}html.theme--documenter-dark .input.is-static,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-static{background-color:transparent;border-color:transparent;box-shadow:none;padding-left:0;padding-right:0}html.theme--documenter-dark .textarea{display:block;max-width:100%;min-width:100%;padding:calc(0.75em - 1px);resize:vertical}html.theme--documenter-dark .textarea:not([rows]){max-height:40em;min-height:8em}html.theme--documenter-dark .textarea[rows]{height:initial}html.theme--documenter-dark .textarea.has-fixed-size{resize:none}html.theme--documenter-dark .radio,html.theme--documenter-dark .checkbox{cursor:pointer;display:inline-block;line-height:1.25;position:relative}html.theme--documenter-dark .radio input,html.theme--documenter-dark .checkbox input{cursor:pointer}html.theme--documenter-dark .radio:hover,html.theme--documenter-dark .checkbox:hover{color:#8c9b9d}html.theme--documenter-dark .radio[disabled],html.theme--documenter-dark .checkbox[disabled],fieldset[disabled] html.theme--documenter-dark .radio,fieldset[disabled] html.theme--documenter-dark .checkbox,html.theme--documenter-dark .radio input[disabled],html.theme--documenter-dark .checkbox input[disabled]{color:#fff;cursor:not-allowed}html.theme--documenter-dark .radio+.radio{margin-left:.5em}html.theme--documenter-dark .select{display:inline-block;max-width:100%;position:relative;vertical-align:top}html.theme--documenter-dark .select:not(.is-multiple){height:2.5em}html.theme--documenter-dark .select:not(.is-multiple):not(.is-loading)::after{border-color:#1abc9c;right:1.125em;z-index:4}html.theme--documenter-dark .select.is-rounded select,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.select select{border-radius:9999px;padding-left:1em}html.theme--documenter-dark .select select{cursor:pointer;display:block;font-size:1em;max-width:100%;outline:none}html.theme--documenter-dark .select select::-ms-expand{display:none}html.theme--documenter-dark .select select[disabled]:hover,fieldset[disabled] html.theme--documenter-dark .select select:hover{border-color:#282f2f}html.theme--documenter-dark .select select:not([multiple]){padding-right:2.5em}html.theme--documenter-dark .select select[multiple]{height:auto;padding:0}html.theme--documenter-dark .select select[multiple] option{padding:0.5em 1em}html.theme--documenter-dark .select:not(.is-multiple):not(.is-loading):hover::after{border-color:#8c9b9d}html.theme--documenter-dark .select.is-white:not(:hover)::after{border-color:#fff}html.theme--documenter-dark .select.is-white select{border-color:#fff}html.theme--documenter-dark .select.is-white select:hover,html.theme--documenter-dark .select.is-white select.is-hovered{border-color:#f2f2f2}html.theme--documenter-dark .select.is-white select:focus,html.theme--documenter-dark .select.is-white select.is-focused,html.theme--documenter-dark .select.is-white select:active,html.theme--documenter-dark .select.is-white select.is-active{box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .select.is-black:not(:hover)::after{border-color:#0a0a0a}html.theme--documenter-dark .select.is-black select{border-color:#0a0a0a}html.theme--documenter-dark .select.is-black select:hover,html.theme--documenter-dark .select.is-black select.is-hovered{border-color:#000}html.theme--documenter-dark .select.is-black select:focus,html.theme--documenter-dark .select.is-black select.is-focused,html.theme--documenter-dark .select.is-black select:active,html.theme--documenter-dark .select.is-black select.is-active{box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .select.is-light:not(:hover)::after{border-color:#ecf0f1}html.theme--documenter-dark .select.is-light select{border-color:#ecf0f1}html.theme--documenter-dark .select.is-light select:hover,html.theme--documenter-dark .select.is-light select.is-hovered{border-color:#dde4e6}html.theme--documenter-dark .select.is-light select:focus,html.theme--documenter-dark .select.is-light select.is-focused,html.theme--documenter-dark .select.is-light select:active,html.theme--documenter-dark .select.is-light select.is-active{box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .select.is-dark:not(:hover)::after,html.theme--documenter-dark .content kbd.select:not(:hover)::after{border-color:#282f2f}html.theme--documenter-dark .select.is-dark select,html.theme--documenter-dark .content kbd.select select{border-color:#282f2f}html.theme--documenter-dark .select.is-dark select:hover,html.theme--documenter-dark .content kbd.select select:hover,html.theme--documenter-dark .select.is-dark select.is-hovered,html.theme--documenter-dark .content kbd.select select.is-hovered{border-color:#1d2122}html.theme--documenter-dark .select.is-dark select:focus,html.theme--documenter-dark .content kbd.select select:focus,html.theme--documenter-dark .select.is-dark select.is-focused,html.theme--documenter-dark .content kbd.select select.is-focused,html.theme--documenter-dark .select.is-dark select:active,html.theme--documenter-dark .content kbd.select select:active,html.theme--documenter-dark .select.is-dark select.is-active,html.theme--documenter-dark .content kbd.select select.is-active{box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .select.is-primary:not(:hover)::after,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink:not(:hover)::after{border-color:#375a7f}html.theme--documenter-dark .select.is-primary select,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select{border-color:#375a7f}html.theme--documenter-dark .select.is-primary select:hover,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:hover,html.theme--documenter-dark .select.is-primary select.is-hovered,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-hovered{border-color:#2f4d6d}html.theme--documenter-dark .select.is-primary select:focus,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:focus,html.theme--documenter-dark .select.is-primary select.is-focused,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-focused,html.theme--documenter-dark .select.is-primary select:active,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:active,html.theme--documenter-dark .select.is-primary select.is-active,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-active{box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .select.is-link:not(:hover)::after{border-color:#1abc9c}html.theme--documenter-dark .select.is-link select{border-color:#1abc9c}html.theme--documenter-dark .select.is-link select:hover,html.theme--documenter-dark .select.is-link select.is-hovered{border-color:#17a689}html.theme--documenter-dark .select.is-link select:focus,html.theme--documenter-dark .select.is-link select.is-focused,html.theme--documenter-dark .select.is-link select:active,html.theme--documenter-dark .select.is-link select.is-active{box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .select.is-info:not(:hover)::after{border-color:#024c7d}html.theme--documenter-dark .select.is-info select{border-color:#024c7d}html.theme--documenter-dark .select.is-info select:hover,html.theme--documenter-dark .select.is-info select.is-hovered{border-color:#023d64}html.theme--documenter-dark .select.is-info select:focus,html.theme--documenter-dark .select.is-info select.is-focused,html.theme--documenter-dark .select.is-info select:active,html.theme--documenter-dark .select.is-info select.is-active{box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .select.is-success:not(:hover)::after{border-color:#008438}html.theme--documenter-dark .select.is-success select{border-color:#008438}html.theme--documenter-dark .select.is-success select:hover,html.theme--documenter-dark .select.is-success select.is-hovered{border-color:#006b2d}html.theme--documenter-dark .select.is-success select:focus,html.theme--documenter-dark .select.is-success select.is-focused,html.theme--documenter-dark .select.is-success select:active,html.theme--documenter-dark .select.is-success select.is-active{box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .select.is-warning:not(:hover)::after{border-color:#ad8100}html.theme--documenter-dark .select.is-warning select{border-color:#ad8100}html.theme--documenter-dark .select.is-warning select:hover,html.theme--documenter-dark .select.is-warning select.is-hovered{border-color:#946e00}html.theme--documenter-dark .select.is-warning select:focus,html.theme--documenter-dark .select.is-warning select.is-focused,html.theme--documenter-dark .select.is-warning select:active,html.theme--documenter-dark .select.is-warning select.is-active{box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .select.is-danger:not(:hover)::after{border-color:#9e1b0d}html.theme--documenter-dark .select.is-danger select{border-color:#9e1b0d}html.theme--documenter-dark .select.is-danger select:hover,html.theme--documenter-dark .select.is-danger select.is-hovered{border-color:#86170b}html.theme--documenter-dark .select.is-danger select:focus,html.theme--documenter-dark .select.is-danger select.is-focused,html.theme--documenter-dark .select.is-danger select:active,html.theme--documenter-dark .select.is-danger select.is-active{box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .select.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.select{border-radius:3px;font-size:.75rem}html.theme--documenter-dark .select.is-medium{font-size:1.25rem}html.theme--documenter-dark .select.is-large{font-size:1.5rem}html.theme--documenter-dark .select.is-disabled::after{border-color:#fff !important;opacity:0.5}html.theme--documenter-dark .select.is-fullwidth{width:100%}html.theme--documenter-dark .select.is-fullwidth select{width:100%}html.theme--documenter-dark .select.is-loading::after{margin-top:0;position:absolute;right:.625em;top:0.625em;transform:none}html.theme--documenter-dark .select.is-loading.is-small:after,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-loading:after{font-size:.75rem}html.theme--documenter-dark .select.is-loading.is-medium:after{font-size:1.25rem}html.theme--documenter-dark .select.is-loading.is-large:after{font-size:1.5rem}html.theme--documenter-dark .file{align-items:stretch;display:flex;justify-content:flex-start;position:relative}html.theme--documenter-dark .file.is-white .file-cta{background-color:#fff;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-white:hover .file-cta,html.theme--documenter-dark .file.is-white.is-hovered .file-cta{background-color:#f9f9f9;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-white:focus .file-cta,html.theme--documenter-dark .file.is-white.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(255,255,255,0.25);color:#0a0a0a}html.theme--documenter-dark .file.is-white:active .file-cta,html.theme--documenter-dark .file.is-white.is-active .file-cta{background-color:#f2f2f2;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-black .file-cta{background-color:#0a0a0a;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-black:hover .file-cta,html.theme--documenter-dark .file.is-black.is-hovered .file-cta{background-color:#040404;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-black:focus .file-cta,html.theme--documenter-dark .file.is-black.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(10,10,10,0.25);color:#fff}html.theme--documenter-dark .file.is-black:active .file-cta,html.theme--documenter-dark .file.is-black.is-active .file-cta{background-color:#000;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-light .file-cta{background-color:#ecf0f1;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:hover .file-cta,html.theme--documenter-dark .file.is-light.is-hovered .file-cta{background-color:#e5eaec;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:focus .file-cta,html.theme--documenter-dark .file.is-light.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(236,240,241,0.25);color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:active .file-cta,html.theme--documenter-dark .file.is-light.is-active .file-cta{background-color:#dde4e6;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-dark .file-cta,html.theme--documenter-dark .content kbd.file .file-cta{background-color:#282f2f;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-dark:hover .file-cta,html.theme--documenter-dark .content kbd.file:hover .file-cta,html.theme--documenter-dark .file.is-dark.is-hovered .file-cta,html.theme--documenter-dark .content kbd.file.is-hovered .file-cta{background-color:#232829;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-dark:focus .file-cta,html.theme--documenter-dark .content kbd.file:focus .file-cta,html.theme--documenter-dark .file.is-dark.is-focused .file-cta,html.theme--documenter-dark .content kbd.file.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(40,47,47,0.25);color:#fff}html.theme--documenter-dark .file.is-dark:active .file-cta,html.theme--documenter-dark .content kbd.file:active .file-cta,html.theme--documenter-dark .file.is-dark.is-active .file-cta,html.theme--documenter-dark .content kbd.file.is-active .file-cta{background-color:#1d2122;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink .file-cta{background-color:#375a7f;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary:hover .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:hover .file-cta,html.theme--documenter-dark .file.is-primary.is-hovered .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-hovered.docs-sourcelink .file-cta{background-color:#335476;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary:focus .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:focus .file-cta,html.theme--documenter-dark .file.is-primary.is-focused .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-focused.docs-sourcelink .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(55,90,127,0.25);color:#fff}html.theme--documenter-dark .file.is-primary:active .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:active .file-cta,html.theme--documenter-dark .file.is-primary.is-active .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-active.docs-sourcelink .file-cta{background-color:#2f4d6d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link .file-cta{background-color:#1abc9c;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link:hover .file-cta,html.theme--documenter-dark .file.is-link.is-hovered .file-cta{background-color:#18b193;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link:focus .file-cta,html.theme--documenter-dark .file.is-link.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(26,188,156,0.25);color:#fff}html.theme--documenter-dark .file.is-link:active .file-cta,html.theme--documenter-dark .file.is-link.is-active .file-cta{background-color:#17a689;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info .file-cta{background-color:#024c7d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info:hover .file-cta,html.theme--documenter-dark .file.is-info.is-hovered .file-cta{background-color:#024470;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info:focus .file-cta,html.theme--documenter-dark .file.is-info.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(2,76,125,0.25);color:#fff}html.theme--documenter-dark .file.is-info:active .file-cta,html.theme--documenter-dark .file.is-info.is-active .file-cta{background-color:#023d64;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success .file-cta{background-color:#008438;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success:hover .file-cta,html.theme--documenter-dark .file.is-success.is-hovered .file-cta{background-color:#073;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success:focus .file-cta,html.theme--documenter-dark .file.is-success.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(0,132,56,0.25);color:#fff}html.theme--documenter-dark .file.is-success:active .file-cta,html.theme--documenter-dark .file.is-success.is-active .file-cta{background-color:#006b2d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning .file-cta{background-color:#ad8100;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning:hover .file-cta,html.theme--documenter-dark .file.is-warning.is-hovered .file-cta{background-color:#a07700;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning:focus .file-cta,html.theme--documenter-dark .file.is-warning.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(173,129,0,0.25);color:#fff}html.theme--documenter-dark .file.is-warning:active .file-cta,html.theme--documenter-dark .file.is-warning.is-active .file-cta{background-color:#946e00;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger .file-cta{background-color:#9e1b0d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger:hover .file-cta,html.theme--documenter-dark .file.is-danger.is-hovered .file-cta{background-color:#92190c;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger:focus .file-cta,html.theme--documenter-dark .file.is-danger.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(158,27,13,0.25);color:#fff}html.theme--documenter-dark .file.is-danger:active .file-cta,html.theme--documenter-dark .file.is-danger.is-active .file-cta{background-color:#86170b;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.file{font-size:.75rem}html.theme--documenter-dark .file.is-normal{font-size:1rem}html.theme--documenter-dark .file.is-medium{font-size:1.25rem}html.theme--documenter-dark .file.is-medium .file-icon .fa{font-size:21px}html.theme--documenter-dark .file.is-large{font-size:1.5rem}html.theme--documenter-dark .file.is-large .file-icon .fa{font-size:28px}html.theme--documenter-dark .file.has-name .file-cta{border-bottom-right-radius:0;border-top-right-radius:0}html.theme--documenter-dark .file.has-name .file-name{border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .file.has-name.is-empty .file-cta{border-radius:.4em}html.theme--documenter-dark .file.has-name.is-empty .file-name{display:none}html.theme--documenter-dark .file.is-boxed .file-label{flex-direction:column}html.theme--documenter-dark .file.is-boxed .file-cta{flex-direction:column;height:auto;padding:1em 3em}html.theme--documenter-dark .file.is-boxed .file-name{border-width:0 1px 1px}html.theme--documenter-dark .file.is-boxed .file-icon{height:1.5em;width:1.5em}html.theme--documenter-dark .file.is-boxed .file-icon .fa{font-size:21px}html.theme--documenter-dark .file.is-boxed.is-small .file-icon .fa,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-boxed .file-icon .fa{font-size:14px}html.theme--documenter-dark .file.is-boxed.is-medium .file-icon .fa{font-size:28px}html.theme--documenter-dark .file.is-boxed.is-large .file-icon .fa{font-size:35px}html.theme--documenter-dark .file.is-boxed.has-name .file-cta{border-radius:.4em .4em 0 0}html.theme--documenter-dark .file.is-boxed.has-name .file-name{border-radius:0 0 .4em .4em;border-width:0 1px 1px}html.theme--documenter-dark .file.is-centered{justify-content:center}html.theme--documenter-dark .file.is-fullwidth .file-label{width:100%}html.theme--documenter-dark .file.is-fullwidth .file-name{flex-grow:1;max-width:none}html.theme--documenter-dark .file.is-right{justify-content:flex-end}html.theme--documenter-dark .file.is-right .file-cta{border-radius:0 .4em .4em 0}html.theme--documenter-dark .file.is-right .file-name{border-radius:.4em 0 0 .4em;border-width:1px 0 1px 1px;order:-1}html.theme--documenter-dark .file-label{align-items:stretch;display:flex;cursor:pointer;justify-content:flex-start;overflow:hidden;position:relative}html.theme--documenter-dark .file-label:hover .file-cta{background-color:#232829;color:#f2f2f2}html.theme--documenter-dark .file-label:hover .file-name{border-color:#596668}html.theme--documenter-dark .file-label:active .file-cta{background-color:#1d2122;color:#f2f2f2}html.theme--documenter-dark .file-label:active .file-name{border-color:#535f61}html.theme--documenter-dark .file-input{height:100%;left:0;opacity:0;outline:none;position:absolute;top:0;width:100%}html.theme--documenter-dark .file-cta,html.theme--documenter-dark .file-name{border-color:#5e6d6f;border-radius:.4em;font-size:1em;padding-left:1em;padding-right:1em;white-space:nowrap}html.theme--documenter-dark .file-cta{background-color:#282f2f;color:#fff}html.theme--documenter-dark .file-name{border-color:#5e6d6f;border-style:solid;border-width:1px 1px 1px 0;display:block;max-width:16em;overflow:hidden;text-align:inherit;text-overflow:ellipsis}html.theme--documenter-dark .file-icon{align-items:center;display:flex;height:1em;justify-content:center;margin-right:.5em;width:1em}html.theme--documenter-dark .file-icon .fa{font-size:14px}html.theme--documenter-dark .label{color:#f2f2f2;display:block;font-size:1rem;font-weight:700}html.theme--documenter-dark .label:not(:last-child){margin-bottom:0.5em}html.theme--documenter-dark .label.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.label{font-size:.75rem}html.theme--documenter-dark .label.is-medium{font-size:1.25rem}html.theme--documenter-dark .label.is-large{font-size:1.5rem}html.theme--documenter-dark .help{display:block;font-size:.75rem;margin-top:0.25rem}html.theme--documenter-dark .help.is-white{color:#fff}html.theme--documenter-dark .help.is-black{color:#0a0a0a}html.theme--documenter-dark .help.is-light{color:#ecf0f1}html.theme--documenter-dark .help.is-dark,html.theme--documenter-dark .content kbd.help{color:#282f2f}html.theme--documenter-dark .help.is-primary,html.theme--documenter-dark .docstring>section>a.help.docs-sourcelink{color:#375a7f}html.theme--documenter-dark .help.is-link{color:#1abc9c}html.theme--documenter-dark .help.is-info{color:#024c7d}html.theme--documenter-dark .help.is-success{color:#008438}html.theme--documenter-dark .help.is-warning{color:#ad8100}html.theme--documenter-dark .help.is-danger{color:#9e1b0d}html.theme--documenter-dark .field:not(:last-child){margin-bottom:0.75rem}html.theme--documenter-dark .field.has-addons{display:flex;justify-content:flex-start}html.theme--documenter-dark .field.has-addons .control:not(:last-child){margin-right:-1px}html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .button,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .input,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:not(:first-child):not(:last-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .select select{border-radius:0}html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .button,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .input,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:first-child:not(:only-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .select select{border-bottom-right-radius:0;border-top-right-radius:0}html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .button,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .input,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:last-child:not(:only-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .select select{border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .button.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-hovered:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select.is-hovered:not([disabled]){z-index:2}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .button.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .button.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):focus,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .input.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-focused:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):active,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .input.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-active:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .select select.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .select select.is-active:not([disabled]){z-index:3}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .button.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .button.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):focus:hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .input.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-focused:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):active:hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .input.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-active:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .select select.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .select select.is-active:not([disabled]):hover{z-index:4}html.theme--documenter-dark .field.has-addons .control.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .field.has-addons.has-addons-centered{justify-content:center}html.theme--documenter-dark .field.has-addons.has-addons-right{justify-content:flex-end}html.theme--documenter-dark .field.has-addons.has-addons-fullwidth .control{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .field.is-grouped{display:flex;justify-content:flex-start}html.theme--documenter-dark .field.is-grouped>.control{flex-shrink:0}html.theme--documenter-dark .field.is-grouped>.control:not(:last-child){margin-bottom:0;margin-right:.75rem}html.theme--documenter-dark .field.is-grouped>.control.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .field.is-grouped.is-grouped-centered{justify-content:center}html.theme--documenter-dark .field.is-grouped.is-grouped-right{justify-content:flex-end}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline{flex-wrap:wrap}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline>.control:last-child,html.theme--documenter-dark .field.is-grouped.is-grouped-multiline>.control:not(:last-child){margin-bottom:0.75rem}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline:last-child{margin-bottom:-0.75rem}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline:not(:last-child){margin-bottom:0}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field.is-horizontal{display:flex}}html.theme--documenter-dark .field-label .label{font-size:inherit}@media screen and (max-width: 768px){html.theme--documenter-dark .field-label{margin-bottom:0.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field-label{flex-basis:0;flex-grow:1;flex-shrink:0;margin-right:1.5rem;text-align:right}html.theme--documenter-dark .field-label.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.field-label{font-size:.75rem;padding-top:0.375em}html.theme--documenter-dark .field-label.is-normal{padding-top:0.375em}html.theme--documenter-dark .field-label.is-medium{font-size:1.25rem;padding-top:0.375em}html.theme--documenter-dark .field-label.is-large{font-size:1.5rem;padding-top:0.375em}}html.theme--documenter-dark .field-body .field .field{margin-bottom:0}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field-body{display:flex;flex-basis:0;flex-grow:5;flex-shrink:1}html.theme--documenter-dark .field-body .field{margin-bottom:0}html.theme--documenter-dark .field-body>.field{flex-shrink:1}html.theme--documenter-dark .field-body>.field:not(.is-narrow){flex-grow:1}html.theme--documenter-dark .field-body>.field:not(:last-child){margin-right:.75rem}}html.theme--documenter-dark .control{box-sizing:border-box;clear:both;font-size:1rem;position:relative;text-align:inherit}html.theme--documenter-dark .control.has-icons-left .input:focus~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input:focus~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input:focus~.icon,html.theme--documenter-dark .control.has-icons-left .select:focus~.icon,html.theme--documenter-dark .control.has-icons-right .input:focus~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input:focus~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input:focus~.icon,html.theme--documenter-dark .control.has-icons-right .select:focus~.icon{color:#282f2f}html.theme--documenter-dark .control.has-icons-left .input.is-small~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-small~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-small~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-small~.icon{font-size:.75rem}html.theme--documenter-dark .control.has-icons-left .input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input.is-medium~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input.is-medium~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-medium~.icon{font-size:1.25rem}html.theme--documenter-dark .control.has-icons-left .input.is-large~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input.is-large~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input.is-large~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-large~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-large~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input.is-large~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input.is-large~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-large~.icon{font-size:1.5rem}html.theme--documenter-dark .control.has-icons-left .icon,html.theme--documenter-dark .control.has-icons-right .icon{color:#5e6d6f;height:2.5em;pointer-events:none;position:absolute;top:0;width:2.5em;z-index:4}html.theme--documenter-dark .control.has-icons-left .input,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input,html.theme--documenter-dark .control.has-icons-left .select select{padding-left:2.5em}html.theme--documenter-dark .control.has-icons-left .icon.is-left{left:0}html.theme--documenter-dark .control.has-icons-right .input,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input,html.theme--documenter-dark .control.has-icons-right .select select{padding-right:2.5em}html.theme--documenter-dark .control.has-icons-right .icon.is-right{right:0}html.theme--documenter-dark .control.is-loading::after{position:absolute !important;right:.625em;top:0.625em;z-index:4}html.theme--documenter-dark .control.is-loading.is-small:after,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-loading:after{font-size:.75rem}html.theme--documenter-dark .control.is-loading.is-medium:after{font-size:1.25rem}html.theme--documenter-dark .control.is-loading.is-large:after{font-size:1.5rem}html.theme--documenter-dark .breadcrumb{font-size:1rem;white-space:nowrap}html.theme--documenter-dark .breadcrumb a{align-items:center;color:#1abc9c;display:flex;justify-content:center;padding:0 .75em}html.theme--documenter-dark .breadcrumb a:hover{color:#1dd2af}html.theme--documenter-dark .breadcrumb li{align-items:center;display:flex}html.theme--documenter-dark .breadcrumb li:first-child a{padding-left:0}html.theme--documenter-dark .breadcrumb li.is-active a{color:#f2f2f2;cursor:default;pointer-events:none}html.theme--documenter-dark .breadcrumb li+li::before{color:#8c9b9d;content:"\0002f"}html.theme--documenter-dark .breadcrumb ul,html.theme--documenter-dark .breadcrumb ol{align-items:flex-start;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .breadcrumb .icon:first-child{margin-right:.5em}html.theme--documenter-dark .breadcrumb .icon:last-child{margin-left:.5em}html.theme--documenter-dark .breadcrumb.is-centered ol,html.theme--documenter-dark .breadcrumb.is-centered ul{justify-content:center}html.theme--documenter-dark .breadcrumb.is-right ol,html.theme--documenter-dark .breadcrumb.is-right ul{justify-content:flex-end}html.theme--documenter-dark .breadcrumb.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.breadcrumb{font-size:.75rem}html.theme--documenter-dark .breadcrumb.is-medium{font-size:1.25rem}html.theme--documenter-dark .breadcrumb.is-large{font-size:1.5rem}html.theme--documenter-dark .breadcrumb.has-arrow-separator li+li::before{content:"\02192"}html.theme--documenter-dark .breadcrumb.has-bullet-separator li+li::before{content:"\02022"}html.theme--documenter-dark .breadcrumb.has-dot-separator li+li::before{content:"\000b7"}html.theme--documenter-dark .breadcrumb.has-succeeds-separator li+li::before{content:"\0227B"}html.theme--documenter-dark .card{background-color:#fff;border-radius:.25rem;box-shadow:#171717;color:#fff;max-width:100%;position:relative}html.theme--documenter-dark .card-footer:first-child,html.theme--documenter-dark .card-content:first-child,html.theme--documenter-dark .card-header:first-child{border-top-left-radius:.25rem;border-top-right-radius:.25rem}html.theme--documenter-dark .card-footer:last-child,html.theme--documenter-dark .card-content:last-child,html.theme--documenter-dark .card-header:last-child{border-bottom-left-radius:.25rem;border-bottom-right-radius:.25rem}html.theme--documenter-dark .card-header{background-color:rgba(0,0,0,0);align-items:stretch;box-shadow:0 0.125em 0.25em rgba(10,10,10,0.1);display:flex}html.theme--documenter-dark .card-header-title{align-items:center;color:#f2f2f2;display:flex;flex-grow:1;font-weight:700;padding:0.75rem 1rem}html.theme--documenter-dark .card-header-title.is-centered{justify-content:center}html.theme--documenter-dark .card-header-icon{-moz-appearance:none;-webkit-appearance:none;appearance:none;background:none;border:none;color:currentColor;font-family:inherit;font-size:1em;margin:0;padding:0;align-items:center;cursor:pointer;display:flex;justify-content:center;padding:0.75rem 1rem}html.theme--documenter-dark .card-image{display:block;position:relative}html.theme--documenter-dark .card-image:first-child img{border-top-left-radius:.25rem;border-top-right-radius:.25rem}html.theme--documenter-dark .card-image:last-child img{border-bottom-left-radius:.25rem;border-bottom-right-radius:.25rem}html.theme--documenter-dark .card-content{background-color:rgba(0,0,0,0);padding:1.5rem}html.theme--documenter-dark .card-footer{background-color:rgba(0,0,0,0);border-top:1px solid #ededed;align-items:stretch;display:flex}html.theme--documenter-dark .card-footer-item{align-items:center;display:flex;flex-basis:0;flex-grow:1;flex-shrink:0;justify-content:center;padding:.75rem}html.theme--documenter-dark .card-footer-item:not(:last-child){border-right:1px solid #ededed}html.theme--documenter-dark .card .media:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .dropdown{display:inline-flex;position:relative;vertical-align:top}html.theme--documenter-dark .dropdown.is-active .dropdown-menu,html.theme--documenter-dark .dropdown.is-hoverable:hover .dropdown-menu{display:block}html.theme--documenter-dark .dropdown.is-right .dropdown-menu{left:auto;right:0}html.theme--documenter-dark .dropdown.is-up .dropdown-menu{bottom:100%;padding-bottom:4px;padding-top:initial;top:auto}html.theme--documenter-dark .dropdown-menu{display:none;left:0;min-width:12rem;padding-top:4px;position:absolute;top:100%;z-index:20}html.theme--documenter-dark .dropdown-content{background-color:#282f2f;border-radius:.4em;box-shadow:#171717;padding-bottom:.5rem;padding-top:.5rem}html.theme--documenter-dark .dropdown-item{color:#fff;display:block;font-size:0.875rem;line-height:1.5;padding:0.375rem 1rem;position:relative}html.theme--documenter-dark a.dropdown-item,html.theme--documenter-dark button.dropdown-item{padding-right:3rem;text-align:inherit;white-space:nowrap;width:100%}html.theme--documenter-dark a.dropdown-item:hover,html.theme--documenter-dark button.dropdown-item:hover{background-color:#282f2f;color:#0a0a0a}html.theme--documenter-dark a.dropdown-item.is-active,html.theme--documenter-dark button.dropdown-item.is-active{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .dropdown-divider{background-color:#ededed;border:none;display:block;height:1px;margin:0.5rem 0}html.theme--documenter-dark .level{align-items:center;justify-content:space-between}html.theme--documenter-dark .level code{border-radius:.4em}html.theme--documenter-dark .level img{display:inline-block;vertical-align:top}html.theme--documenter-dark .level.is-mobile{display:flex}html.theme--documenter-dark .level.is-mobile .level-left,html.theme--documenter-dark .level.is-mobile .level-right{display:flex}html.theme--documenter-dark .level.is-mobile .level-left+.level-right{margin-top:0}html.theme--documenter-dark .level.is-mobile .level-item:not(:last-child){margin-bottom:0;margin-right:.75rem}html.theme--documenter-dark .level.is-mobile .level-item:not(.is-narrow){flex-grow:1}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level{display:flex}html.theme--documenter-dark .level>.level-item:not(.is-narrow){flex-grow:1}}html.theme--documenter-dark .level-item{align-items:center;display:flex;flex-basis:auto;flex-grow:0;flex-shrink:0;justify-content:center}html.theme--documenter-dark .level-item .title,html.theme--documenter-dark .level-item .subtitle{margin-bottom:0}@media screen and (max-width: 768px){html.theme--documenter-dark .level-item:not(:last-child){margin-bottom:.75rem}}html.theme--documenter-dark .level-left,html.theme--documenter-dark .level-right{flex-basis:auto;flex-grow:0;flex-shrink:0}html.theme--documenter-dark .level-left .level-item.is-flexible,html.theme--documenter-dark .level-right .level-item.is-flexible{flex-grow:1}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-left .level-item:not(:last-child),html.theme--documenter-dark .level-right .level-item:not(:last-child){margin-right:.75rem}}html.theme--documenter-dark .level-left{align-items:center;justify-content:flex-start}@media screen and (max-width: 768px){html.theme--documenter-dark .level-left+.level-right{margin-top:1.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-left{display:flex}}html.theme--documenter-dark .level-right{align-items:center;justify-content:flex-end}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-right{display:flex}}html.theme--documenter-dark .media{align-items:flex-start;display:flex;text-align:inherit}html.theme--documenter-dark .media .content:not(:last-child){margin-bottom:.75rem}html.theme--documenter-dark .media .media{border-top:1px solid rgba(94,109,111,0.5);display:flex;padding-top:.75rem}html.theme--documenter-dark .media .media .content:not(:last-child),html.theme--documenter-dark .media .media .control:not(:last-child){margin-bottom:.5rem}html.theme--documenter-dark .media .media .media{padding-top:.5rem}html.theme--documenter-dark .media .media .media+.media{margin-top:.5rem}html.theme--documenter-dark .media+.media{border-top:1px solid rgba(94,109,111,0.5);margin-top:1rem;padding-top:1rem}html.theme--documenter-dark .media.is-large+.media{margin-top:1.5rem;padding-top:1.5rem}html.theme--documenter-dark .media-left,html.theme--documenter-dark .media-right{flex-basis:auto;flex-grow:0;flex-shrink:0}html.theme--documenter-dark .media-left{margin-right:1rem}html.theme--documenter-dark .media-right{margin-left:1rem}html.theme--documenter-dark .media-content{flex-basis:auto;flex-grow:1;flex-shrink:1;text-align:inherit}@media screen and (max-width: 768px){html.theme--documenter-dark .media-content{overflow-x:auto}}html.theme--documenter-dark .menu{font-size:1rem}html.theme--documenter-dark .menu.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.menu{font-size:.75rem}html.theme--documenter-dark .menu.is-medium{font-size:1.25rem}html.theme--documenter-dark .menu.is-large{font-size:1.5rem}html.theme--documenter-dark .menu-list{line-height:1.25}html.theme--documenter-dark .menu-list a{border-radius:3px;color:#fff;display:block;padding:0.5em 0.75em}html.theme--documenter-dark .menu-list a:hover{background-color:#282f2f;color:#f2f2f2}html.theme--documenter-dark .menu-list a.is-active{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .menu-list li ul{border-left:1px solid #5e6d6f;margin:.75em;padding-left:.75em}html.theme--documenter-dark .menu-label{color:#fff;font-size:.75em;letter-spacing:.1em;text-transform:uppercase}html.theme--documenter-dark .menu-label:not(:first-child){margin-top:1em}html.theme--documenter-dark .menu-label:not(:last-child){margin-bottom:1em}html.theme--documenter-dark .message{background-color:#282f2f;border-radius:.4em;font-size:1rem}html.theme--documenter-dark .message strong{color:currentColor}html.theme--documenter-dark .message a:not(.button):not(.tag):not(.dropdown-item){color:currentColor;text-decoration:underline}html.theme--documenter-dark .message.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.message{font-size:.75rem}html.theme--documenter-dark .message.is-medium{font-size:1.25rem}html.theme--documenter-dark .message.is-large{font-size:1.5rem}html.theme--documenter-dark .message.is-white{background-color:#fff}html.theme--documenter-dark .message.is-white .message-header{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .message.is-white .message-body{border-color:#fff}html.theme--documenter-dark .message.is-black{background-color:#fafafa}html.theme--documenter-dark .message.is-black .message-header{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .message.is-black .message-body{border-color:#0a0a0a}html.theme--documenter-dark .message.is-light{background-color:#f9fafb}html.theme--documenter-dark .message.is-light .message-header{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .message.is-light .message-body{border-color:#ecf0f1}html.theme--documenter-dark .message.is-dark,html.theme--documenter-dark .content kbd.message{background-color:#f9fafa}html.theme--documenter-dark .message.is-dark .message-header,html.theme--documenter-dark .content kbd.message .message-header{background-color:#282f2f;color:#fff}html.theme--documenter-dark .message.is-dark .message-body,html.theme--documenter-dark .content kbd.message .message-body{border-color:#282f2f}html.theme--documenter-dark .message.is-primary,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink{background-color:#f1f5f9}html.theme--documenter-dark .message.is-primary .message-header,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink .message-header{background-color:#375a7f;color:#fff}html.theme--documenter-dark .message.is-primary .message-body,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink .message-body{border-color:#375a7f;color:#4d7eb2}html.theme--documenter-dark .message.is-link{background-color:#edfdf9}html.theme--documenter-dark .message.is-link .message-header{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .message.is-link .message-body{border-color:#1abc9c;color:#15987e}html.theme--documenter-dark .message.is-info{background-color:#ebf7ff}html.theme--documenter-dark .message.is-info .message-header{background-color:#024c7d;color:#fff}html.theme--documenter-dark .message.is-info .message-body{border-color:#024c7d;color:#0e9dfb}html.theme--documenter-dark .message.is-success{background-color:#ebfff3}html.theme--documenter-dark .message.is-success .message-header{background-color:#008438;color:#fff}html.theme--documenter-dark .message.is-success .message-body{border-color:#008438;color:#00eb64}html.theme--documenter-dark .message.is-warning{background-color:#fffaeb}html.theme--documenter-dark .message.is-warning .message-header{background-color:#ad8100;color:#fff}html.theme--documenter-dark .message.is-warning .message-body{border-color:#ad8100;color:#d19c00}html.theme--documenter-dark .message.is-danger{background-color:#fdeeec}html.theme--documenter-dark .message.is-danger .message-header{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .message.is-danger .message-body{border-color:#9e1b0d;color:#ec311d}html.theme--documenter-dark .message-header{align-items:center;background-color:#fff;border-radius:.4em .4em 0 0;color:rgba(0,0,0,0.7);display:flex;font-weight:700;justify-content:space-between;line-height:1.25;padding:0.75em 1em;position:relative}html.theme--documenter-dark .message-header .delete{flex-grow:0;flex-shrink:0;margin-left:.75em}html.theme--documenter-dark .message-header+.message-body{border-width:0;border-top-left-radius:0;border-top-right-radius:0}html.theme--documenter-dark .message-body{border-color:#5e6d6f;border-radius:.4em;border-style:solid;border-width:0 0 0 4px;color:#fff;padding:1.25em 1.5em}html.theme--documenter-dark .message-body code,html.theme--documenter-dark .message-body pre{background-color:#fff}html.theme--documenter-dark .message-body pre code{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .modal{align-items:center;display:none;flex-direction:column;justify-content:center;overflow:hidden;position:fixed;z-index:40}html.theme--documenter-dark .modal.is-active{display:flex}html.theme--documenter-dark .modal-background{background-color:rgba(10,10,10,0.86)}html.theme--documenter-dark .modal-content,html.theme--documenter-dark .modal-card{margin:0 20px;max-height:calc(100vh - 160px);overflow:auto;position:relative;width:100%}@media screen and (min-width: 769px){html.theme--documenter-dark .modal-content,html.theme--documenter-dark .modal-card{margin:0 auto;max-height:calc(100vh - 40px);width:640px}}html.theme--documenter-dark .modal-close{background:none;height:40px;position:fixed;right:20px;top:20px;width:40px}html.theme--documenter-dark .modal-card{display:flex;flex-direction:column;max-height:calc(100vh - 40px);overflow:hidden;-ms-overflow-y:visible}html.theme--documenter-dark .modal-card-head,html.theme--documenter-dark .modal-card-foot{align-items:center;background-color:#282f2f;display:flex;flex-shrink:0;justify-content:flex-start;padding:20px;position:relative}html.theme--documenter-dark .modal-card-head{border-bottom:1px solid #5e6d6f;border-top-left-radius:8px;border-top-right-radius:8px}html.theme--documenter-dark .modal-card-title{color:#f2f2f2;flex-grow:1;flex-shrink:0;font-size:1.5rem;line-height:1}html.theme--documenter-dark .modal-card-foot{border-bottom-left-radius:8px;border-bottom-right-radius:8px;border-top:1px solid #5e6d6f}html.theme--documenter-dark .modal-card-foot .button:not(:last-child){margin-right:.5em}html.theme--documenter-dark .modal-card-body{-webkit-overflow-scrolling:touch;background-color:#fff;flex-grow:1;flex-shrink:1;overflow:auto;padding:20px}html.theme--documenter-dark .navbar{background-color:#375a7f;min-height:4rem;position:relative;z-index:30}html.theme--documenter-dark .navbar.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link{color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link::after{border-color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-burger{color:#0a0a0a}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-white .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link{color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link::after{border-color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown.is-active .navbar-link{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-dropdown a.navbar-item.is-active{background-color:#fff;color:#0a0a0a}}html.theme--documenter-dark .navbar.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-black .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown.is-active .navbar-link{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-dropdown a.navbar-item.is-active{background-color:#0a0a0a;color:#fff}}html.theme--documenter-dark .navbar.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link::after{border-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-burger{color:rgba(0,0,0,0.7)}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-light .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link::after{border-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown.is-active .navbar-link{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-dropdown a.navbar-item.is-active{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}}html.theme--documenter-dark .navbar.is-dark,html.theme--documenter-dark .content kbd.navbar{background-color:#282f2f;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-burger,html.theme--documenter-dark .content kbd.navbar .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-dark .navbar-start>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-end>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown.is-active .navbar-link{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-dropdown a.navbar-item.is-active{background-color:#282f2f;color:#fff}}html.theme--documenter-dark .navbar.is-primary,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-burger,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-primary .navbar-start>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-end>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown.is-active .navbar-link{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-dropdown a.navbar-item.is-active{background-color:#375a7f;color:#fff}}html.theme--documenter-dark .navbar.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-link .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown.is-active .navbar-link{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-dropdown a.navbar-item.is-active{background-color:#1abc9c;color:#fff}}html.theme--documenter-dark .navbar.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-info .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown.is-active .navbar-link{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-dropdown a.navbar-item.is-active{background-color:#024c7d;color:#fff}}html.theme--documenter-dark .navbar.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-success .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown.is-active .navbar-link{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-dropdown a.navbar-item.is-active{background-color:#008438;color:#fff}}html.theme--documenter-dark .navbar.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-warning .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown.is-active .navbar-link{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-dropdown a.navbar-item.is-active{background-color:#ad8100;color:#fff}}html.theme--documenter-dark .navbar.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-danger .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown.is-active .navbar-link{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-dropdown a.navbar-item.is-active{background-color:#9e1b0d;color:#fff}}html.theme--documenter-dark .navbar>.container{align-items:stretch;display:flex;min-height:4rem;width:100%}html.theme--documenter-dark .navbar.has-shadow{box-shadow:0 2px 0 0 #282f2f}html.theme--documenter-dark .navbar.is-fixed-bottom,html.theme--documenter-dark .navbar.is-fixed-top{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom.has-shadow{box-shadow:0 -2px 0 0 #282f2f}html.theme--documenter-dark .navbar.is-fixed-top{top:0}html.theme--documenter-dark html.has-navbar-fixed-top,html.theme--documenter-dark body.has-navbar-fixed-top{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom,html.theme--documenter-dark body.has-navbar-fixed-bottom{padding-bottom:4rem}html.theme--documenter-dark .navbar-brand,html.theme--documenter-dark .navbar-tabs{align-items:stretch;display:flex;flex-shrink:0;min-height:4rem}html.theme--documenter-dark .navbar-brand a.navbar-item:focus,html.theme--documenter-dark .navbar-brand a.navbar-item:hover{background-color:transparent}html.theme--documenter-dark .navbar-tabs{-webkit-overflow-scrolling:touch;max-width:100vw;overflow-x:auto;overflow-y:hidden}html.theme--documenter-dark .navbar-burger{color:#fff;-moz-appearance:none;-webkit-appearance:none;appearance:none;background:none;border:none;cursor:pointer;display:block;height:4rem;position:relative;width:4rem;margin-left:auto}html.theme--documenter-dark .navbar-burger span{background-color:currentColor;display:block;height:1px;left:calc(50% - 8px);position:absolute;transform-origin:center;transition-duration:86ms;transition-property:background-color, opacity, transform;transition-timing-function:ease-out;width:16px}html.theme--documenter-dark .navbar-burger span:nth-child(1){top:calc(50% - 6px)}html.theme--documenter-dark .navbar-burger span:nth-child(2){top:calc(50% - 1px)}html.theme--documenter-dark .navbar-burger span:nth-child(3){top:calc(50% + 4px)}html.theme--documenter-dark .navbar-burger:hover{background-color:rgba(0,0,0,0.05)}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(1){transform:translateY(5px) rotate(45deg)}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(2){opacity:0}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(3){transform:translateY(-5px) rotate(-45deg)}html.theme--documenter-dark .navbar-menu{display:none}html.theme--documenter-dark .navbar-item,html.theme--documenter-dark .navbar-link{color:#fff;display:block;line-height:1.5;padding:0.5rem 0.75rem;position:relative}html.theme--documenter-dark .navbar-item .icon:only-child,html.theme--documenter-dark .navbar-link .icon:only-child{margin-left:-0.25rem;margin-right:-0.25rem}html.theme--documenter-dark a.navbar-item,html.theme--documenter-dark .navbar-link{cursor:pointer}html.theme--documenter-dark a.navbar-item:focus,html.theme--documenter-dark a.navbar-item:focus-within,html.theme--documenter-dark a.navbar-item:hover,html.theme--documenter-dark a.navbar-item.is-active,html.theme--documenter-dark .navbar-link:focus,html.theme--documenter-dark .navbar-link:focus-within,html.theme--documenter-dark .navbar-link:hover,html.theme--documenter-dark .navbar-link.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}html.theme--documenter-dark .navbar-item{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .navbar-item img{max-height:1.75rem}html.theme--documenter-dark .navbar-item.has-dropdown{padding:0}html.theme--documenter-dark .navbar-item.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .navbar-item.is-tab{border-bottom:1px solid transparent;min-height:4rem;padding-bottom:calc(0.5rem - 1px)}html.theme--documenter-dark .navbar-item.is-tab:focus,html.theme--documenter-dark .navbar-item.is-tab:hover{background-color:rgba(0,0,0,0);border-bottom-color:#1abc9c}html.theme--documenter-dark .navbar-item.is-tab.is-active{background-color:rgba(0,0,0,0);border-bottom-color:#1abc9c;border-bottom-style:solid;border-bottom-width:3px;color:#1abc9c;padding-bottom:calc(0.5rem - 3px)}html.theme--documenter-dark .navbar-content{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .navbar-link:not(.is-arrowless){padding-right:2.5em}html.theme--documenter-dark .navbar-link:not(.is-arrowless)::after{border-color:#fff;margin-top:-0.375em;right:1.125em}html.theme--documenter-dark .navbar-dropdown{font-size:0.875rem;padding-bottom:0.5rem;padding-top:0.5rem}html.theme--documenter-dark .navbar-dropdown .navbar-item{padding-left:1.5rem;padding-right:1.5rem}html.theme--documenter-dark .navbar-divider{background-color:rgba(0,0,0,0.2);border:none;display:none;height:2px;margin:0.5rem 0}@media screen and (max-width: 1055px){html.theme--documenter-dark .navbar>.container{display:block}html.theme--documenter-dark .navbar-brand .navbar-item,html.theme--documenter-dark .navbar-tabs .navbar-item{align-items:center;display:flex}html.theme--documenter-dark .navbar-link::after{display:none}html.theme--documenter-dark .navbar-menu{background-color:#375a7f;box-shadow:0 8px 16px rgba(10,10,10,0.1);padding:0.5rem 0}html.theme--documenter-dark .navbar-menu.is-active{display:block}html.theme--documenter-dark .navbar.is-fixed-bottom-touch,html.theme--documenter-dark .navbar.is-fixed-top-touch{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom-touch{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom-touch.has-shadow{box-shadow:0 -2px 3px rgba(10,10,10,0.1)}html.theme--documenter-dark .navbar.is-fixed-top-touch{top:0}html.theme--documenter-dark .navbar.is-fixed-top .navbar-menu,html.theme--documenter-dark .navbar.is-fixed-top-touch .navbar-menu{-webkit-overflow-scrolling:touch;max-height:calc(100vh - 4rem);overflow:auto}html.theme--documenter-dark html.has-navbar-fixed-top-touch,html.theme--documenter-dark body.has-navbar-fixed-top-touch{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom-touch,html.theme--documenter-dark body.has-navbar-fixed-bottom-touch{padding-bottom:4rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar,html.theme--documenter-dark .navbar-menu,html.theme--documenter-dark .navbar-start,html.theme--documenter-dark .navbar-end{align-items:stretch;display:flex}html.theme--documenter-dark .navbar{min-height:4rem}html.theme--documenter-dark .navbar.is-spaced{padding:1rem 2rem}html.theme--documenter-dark .navbar.is-spaced .navbar-start,html.theme--documenter-dark .navbar.is-spaced .navbar-end{align-items:center}html.theme--documenter-dark .navbar.is-spaced a.navbar-item,html.theme--documenter-dark .navbar.is-spaced .navbar-link{border-radius:.4em}html.theme--documenter-dark .navbar.is-transparent a.navbar-item:focus,html.theme--documenter-dark .navbar.is-transparent a.navbar-item:hover,html.theme--documenter-dark .navbar.is-transparent a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-transparent .navbar-link:focus,html.theme--documenter-dark .navbar.is-transparent .navbar-link:hover,html.theme--documenter-dark .navbar.is-transparent .navbar-link.is-active{background-color:transparent !important}html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:focus .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:focus-within .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:hover .navbar-link{background-color:transparent !important}html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item:focus,html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item:hover{background-color:rgba(0,0,0,0);color:#dbdee0}html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}html.theme--documenter-dark .navbar-burger{display:none}html.theme--documenter-dark .navbar-item,html.theme--documenter-dark .navbar-link{align-items:center;display:flex}html.theme--documenter-dark .navbar-item.has-dropdown{align-items:stretch}html.theme--documenter-dark .navbar-item.has-dropdown-up .navbar-link::after{transform:rotate(135deg) translate(0.25em, -0.25em)}html.theme--documenter-dark .navbar-item.has-dropdown-up .navbar-dropdown{border-bottom:1px solid rgba(0,0,0,0.2);border-radius:8px 8px 0 0;border-top:none;bottom:100%;box-shadow:0 -8px 8px rgba(10,10,10,0.1);top:auto}html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown{display:block}.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown.is-boxed{opacity:1;pointer-events:auto;transform:translateY(0)}html.theme--documenter-dark .navbar-menu{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .navbar-start{justify-content:flex-start;margin-right:auto}html.theme--documenter-dark .navbar-end{justify-content:flex-end;margin-left:auto}html.theme--documenter-dark .navbar-dropdown{background-color:#375a7f;border-bottom-left-radius:8px;border-bottom-right-radius:8px;border-top:1px solid rgba(0,0,0,0.2);box-shadow:0 8px 8px rgba(10,10,10,0.1);display:none;font-size:0.875rem;left:0;min-width:100%;position:absolute;top:100%;z-index:20}html.theme--documenter-dark .navbar-dropdown .navbar-item{padding:0.375rem 1rem;white-space:nowrap}html.theme--documenter-dark .navbar-dropdown a.navbar-item{padding-right:3rem}html.theme--documenter-dark .navbar-dropdown a.navbar-item:focus,html.theme--documenter-dark .navbar-dropdown a.navbar-item:hover{background-color:rgba(0,0,0,0);color:#dbdee0}html.theme--documenter-dark .navbar-dropdown a.navbar-item.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}.navbar.is-spaced html.theme--documenter-dark .navbar-dropdown,html.theme--documenter-dark .navbar-dropdown.is-boxed{border-radius:8px;border-top:none;box-shadow:0 8px 8px rgba(10,10,10,0.1), 0 0 0 1px rgba(10,10,10,0.1);display:block;opacity:0;pointer-events:none;top:calc(100% + (-4px));transform:translateY(-5px);transition-duration:86ms;transition-property:opacity, transform}html.theme--documenter-dark .navbar-dropdown.is-right{left:auto;right:0}html.theme--documenter-dark .navbar-divider{display:block}html.theme--documenter-dark .navbar>.container .navbar-brand,html.theme--documenter-dark .container>.navbar .navbar-brand{margin-left:-.75rem}html.theme--documenter-dark .navbar>.container .navbar-menu,html.theme--documenter-dark .container>.navbar .navbar-menu{margin-right:-.75rem}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop,html.theme--documenter-dark .navbar.is-fixed-top-desktop{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop.has-shadow{box-shadow:0 -2px 3px rgba(10,10,10,0.1)}html.theme--documenter-dark .navbar.is-fixed-top-desktop{top:0}html.theme--documenter-dark html.has-navbar-fixed-top-desktop,html.theme--documenter-dark body.has-navbar-fixed-top-desktop{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom-desktop,html.theme--documenter-dark body.has-navbar-fixed-bottom-desktop{padding-bottom:4rem}html.theme--documenter-dark html.has-spaced-navbar-fixed-top,html.theme--documenter-dark body.has-spaced-navbar-fixed-top{padding-top:6rem}html.theme--documenter-dark html.has-spaced-navbar-fixed-bottom,html.theme--documenter-dark body.has-spaced-navbar-fixed-bottom{padding-bottom:6rem}html.theme--documenter-dark a.navbar-item.is-active,html.theme--documenter-dark .navbar-link.is-active{color:#1abc9c}html.theme--documenter-dark a.navbar-item.is-active:not(:focus):not(:hover),html.theme--documenter-dark .navbar-link.is-active:not(:focus):not(:hover){background-color:rgba(0,0,0,0)}html.theme--documenter-dark .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar-item.has-dropdown.is-active .navbar-link{background-color:rgba(0,0,0,0)}}html.theme--documenter-dark .hero.is-fullheight-with-navbar{min-height:calc(100vh - 4rem)}html.theme--documenter-dark .pagination{font-size:1rem;margin:-.25rem}html.theme--documenter-dark .pagination.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination{font-size:.75rem}html.theme--documenter-dark .pagination.is-medium{font-size:1.25rem}html.theme--documenter-dark .pagination.is-large{font-size:1.5rem}html.theme--documenter-dark .pagination.is-rounded .pagination-previous,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-previous,html.theme--documenter-dark .pagination.is-rounded .pagination-next,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-next{padding-left:1em;padding-right:1em;border-radius:9999px}html.theme--documenter-dark .pagination.is-rounded .pagination-link,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-link{border-radius:9999px}html.theme--documenter-dark .pagination,html.theme--documenter-dark .pagination-list{align-items:center;display:flex;justify-content:center;text-align:center}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-ellipsis{font-size:1em;justify-content:center;margin:.25rem;padding-left:.5em;padding-right:.5em;text-align:center}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link{border-color:#5e6d6f;color:#1abc9c;min-width:2.5em}html.theme--documenter-dark .pagination-previous:hover,html.theme--documenter-dark .pagination-next:hover,html.theme--documenter-dark .pagination-link:hover{border-color:#8c9b9d;color:#1dd2af}html.theme--documenter-dark .pagination-previous:focus,html.theme--documenter-dark .pagination-next:focus,html.theme--documenter-dark .pagination-link:focus{border-color:#8c9b9d}html.theme--documenter-dark .pagination-previous:active,html.theme--documenter-dark .pagination-next:active,html.theme--documenter-dark .pagination-link:active{box-shadow:inset 0 1px 2px rgba(10,10,10,0.2)}html.theme--documenter-dark .pagination-previous[disabled],html.theme--documenter-dark .pagination-previous.is-disabled,html.theme--documenter-dark .pagination-next[disabled],html.theme--documenter-dark .pagination-next.is-disabled,html.theme--documenter-dark .pagination-link[disabled],html.theme--documenter-dark .pagination-link.is-disabled{background-color:#5e6d6f;border-color:#5e6d6f;box-shadow:none;color:#fff;opacity:0.5}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next{padding-left:.75em;padding-right:.75em;white-space:nowrap}html.theme--documenter-dark .pagination-link.is-current{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .pagination-ellipsis{color:#8c9b9d;pointer-events:none}html.theme--documenter-dark .pagination-list{flex-wrap:wrap}html.theme--documenter-dark .pagination-list li{list-style:none}@media screen and (max-width: 768px){html.theme--documenter-dark .pagination{flex-wrap:wrap}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .pagination-list li{flex-grow:1;flex-shrink:1}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .pagination-list{flex-grow:1;flex-shrink:1;justify-content:flex-start;order:1}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-ellipsis{margin-bottom:0;margin-top:0}html.theme--documenter-dark .pagination-previous{order:2}html.theme--documenter-dark .pagination-next{order:3}html.theme--documenter-dark .pagination{justify-content:space-between;margin-bottom:0;margin-top:0}html.theme--documenter-dark .pagination.is-centered .pagination-previous{order:1}html.theme--documenter-dark .pagination.is-centered .pagination-list{justify-content:center;order:2}html.theme--documenter-dark .pagination.is-centered .pagination-next{order:3}html.theme--documenter-dark .pagination.is-right .pagination-previous{order:1}html.theme--documenter-dark .pagination.is-right .pagination-next{order:2}html.theme--documenter-dark .pagination.is-right .pagination-list{justify-content:flex-end;order:3}}html.theme--documenter-dark .panel{border-radius:8px;box-shadow:#171717;font-size:1rem}html.theme--documenter-dark .panel:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .panel.is-white .panel-heading{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .panel.is-white .panel-tabs a.is-active{border-bottom-color:#fff}html.theme--documenter-dark .panel.is-white .panel-block.is-active .panel-icon{color:#fff}html.theme--documenter-dark .panel.is-black .panel-heading{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .panel.is-black .panel-tabs a.is-active{border-bottom-color:#0a0a0a}html.theme--documenter-dark .panel.is-black .panel-block.is-active .panel-icon{color:#0a0a0a}html.theme--documenter-dark .panel.is-light .panel-heading{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .panel.is-light .panel-tabs a.is-active{border-bottom-color:#ecf0f1}html.theme--documenter-dark .panel.is-light .panel-block.is-active .panel-icon{color:#ecf0f1}html.theme--documenter-dark .panel.is-dark .panel-heading,html.theme--documenter-dark .content kbd.panel .panel-heading{background-color:#282f2f;color:#fff}html.theme--documenter-dark .panel.is-dark .panel-tabs a.is-active,html.theme--documenter-dark .content kbd.panel .panel-tabs a.is-active{border-bottom-color:#282f2f}html.theme--documenter-dark .panel.is-dark .panel-block.is-active .panel-icon,html.theme--documenter-dark .content kbd.panel .panel-block.is-active .panel-icon{color:#282f2f}html.theme--documenter-dark .panel.is-primary .panel-heading,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-heading{background-color:#375a7f;color:#fff}html.theme--documenter-dark .panel.is-primary .panel-tabs a.is-active,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-tabs a.is-active{border-bottom-color:#375a7f}html.theme--documenter-dark .panel.is-primary .panel-block.is-active .panel-icon,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-block.is-active .panel-icon{color:#375a7f}html.theme--documenter-dark .panel.is-link .panel-heading{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .panel.is-link .panel-tabs a.is-active{border-bottom-color:#1abc9c}html.theme--documenter-dark .panel.is-link .panel-block.is-active .panel-icon{color:#1abc9c}html.theme--documenter-dark .panel.is-info .panel-heading{background-color:#024c7d;color:#fff}html.theme--documenter-dark .panel.is-info .panel-tabs a.is-active{border-bottom-color:#024c7d}html.theme--documenter-dark .panel.is-info .panel-block.is-active .panel-icon{color:#024c7d}html.theme--documenter-dark .panel.is-success .panel-heading{background-color:#008438;color:#fff}html.theme--documenter-dark .panel.is-success .panel-tabs a.is-active{border-bottom-color:#008438}html.theme--documenter-dark .panel.is-success .panel-block.is-active .panel-icon{color:#008438}html.theme--documenter-dark .panel.is-warning .panel-heading{background-color:#ad8100;color:#fff}html.theme--documenter-dark .panel.is-warning .panel-tabs a.is-active{border-bottom-color:#ad8100}html.theme--documenter-dark .panel.is-warning .panel-block.is-active .panel-icon{color:#ad8100}html.theme--documenter-dark .panel.is-danger .panel-heading{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .panel.is-danger .panel-tabs a.is-active{border-bottom-color:#9e1b0d}html.theme--documenter-dark .panel.is-danger .panel-block.is-active .panel-icon{color:#9e1b0d}html.theme--documenter-dark .panel-tabs:not(:last-child),html.theme--documenter-dark .panel-block:not(:last-child){border-bottom:1px solid #ededed}html.theme--documenter-dark .panel-heading{background-color:#343c3d;border-radius:8px 8px 0 0;color:#f2f2f2;font-size:1.25em;font-weight:700;line-height:1.25;padding:0.75em 1em}html.theme--documenter-dark .panel-tabs{align-items:flex-end;display:flex;font-size:.875em;justify-content:center}html.theme--documenter-dark .panel-tabs a{border-bottom:1px solid #5e6d6f;margin-bottom:-1px;padding:0.5em}html.theme--documenter-dark .panel-tabs a.is-active{border-bottom-color:#343c3d;color:#17a689}html.theme--documenter-dark .panel-list a{color:#fff}html.theme--documenter-dark .panel-list a:hover{color:#1abc9c}html.theme--documenter-dark .panel-block{align-items:center;color:#f2f2f2;display:flex;justify-content:flex-start;padding:0.5em 0.75em}html.theme--documenter-dark .panel-block input[type="checkbox"]{margin-right:.75em}html.theme--documenter-dark .panel-block>.control{flex-grow:1;flex-shrink:1;width:100%}html.theme--documenter-dark .panel-block.is-wrapped{flex-wrap:wrap}html.theme--documenter-dark .panel-block.is-active{border-left-color:#1abc9c;color:#17a689}html.theme--documenter-dark .panel-block.is-active .panel-icon{color:#1abc9c}html.theme--documenter-dark .panel-block:last-child{border-bottom-left-radius:8px;border-bottom-right-radius:8px}html.theme--documenter-dark a.panel-block,html.theme--documenter-dark label.panel-block{cursor:pointer}html.theme--documenter-dark a.panel-block:hover,html.theme--documenter-dark label.panel-block:hover{background-color:#282f2f}html.theme--documenter-dark .panel-icon{display:inline-block;font-size:14px;height:1em;line-height:1em;text-align:center;vertical-align:top;width:1em;color:#fff;margin-right:.75em}html.theme--documenter-dark .panel-icon .fa{font-size:inherit;line-height:inherit}html.theme--documenter-dark .tabs{-webkit-overflow-scrolling:touch;align-items:stretch;display:flex;font-size:1rem;justify-content:space-between;overflow:hidden;overflow-x:auto;white-space:nowrap}html.theme--documenter-dark .tabs a{align-items:center;border-bottom-color:#5e6d6f;border-bottom-style:solid;border-bottom-width:1px;color:#fff;display:flex;justify-content:center;margin-bottom:-1px;padding:0.5em 1em;vertical-align:top}html.theme--documenter-dark .tabs a:hover{border-bottom-color:#f2f2f2;color:#f2f2f2}html.theme--documenter-dark .tabs li{display:block}html.theme--documenter-dark .tabs li.is-active a{border-bottom-color:#1abc9c;color:#1abc9c}html.theme--documenter-dark .tabs ul{align-items:center;border-bottom-color:#5e6d6f;border-bottom-style:solid;border-bottom-width:1px;display:flex;flex-grow:1;flex-shrink:0;justify-content:flex-start}html.theme--documenter-dark .tabs ul.is-left{padding-right:0.75em}html.theme--documenter-dark .tabs ul.is-center{flex:none;justify-content:center;padding-left:0.75em;padding-right:0.75em}html.theme--documenter-dark .tabs ul.is-right{justify-content:flex-end;padding-left:0.75em}html.theme--documenter-dark .tabs .icon:first-child{margin-right:.5em}html.theme--documenter-dark .tabs .icon:last-child{margin-left:.5em}html.theme--documenter-dark .tabs.is-centered ul{justify-content:center}html.theme--documenter-dark .tabs.is-right ul{justify-content:flex-end}html.theme--documenter-dark .tabs.is-boxed a{border:1px solid transparent;border-radius:.4em .4em 0 0}html.theme--documenter-dark .tabs.is-boxed a:hover{background-color:#282f2f;border-bottom-color:#5e6d6f}html.theme--documenter-dark .tabs.is-boxed li.is-active a{background-color:#fff;border-color:#5e6d6f;border-bottom-color:rgba(0,0,0,0) !important}html.theme--documenter-dark .tabs.is-fullwidth li{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .tabs.is-toggle a{border-color:#5e6d6f;border-style:solid;border-width:1px;margin-bottom:0;position:relative}html.theme--documenter-dark .tabs.is-toggle a:hover{background-color:#282f2f;border-color:#8c9b9d;z-index:2}html.theme--documenter-dark .tabs.is-toggle li+li{margin-left:-1px}html.theme--documenter-dark .tabs.is-toggle li:first-child a{border-top-left-radius:.4em;border-bottom-left-radius:.4em}html.theme--documenter-dark .tabs.is-toggle li:last-child a{border-top-right-radius:.4em;border-bottom-right-radius:.4em}html.theme--documenter-dark .tabs.is-toggle li.is-active a{background-color:#1abc9c;border-color:#1abc9c;color:#fff;z-index:1}html.theme--documenter-dark .tabs.is-toggle ul{border-bottom:none}html.theme--documenter-dark .tabs.is-toggle.is-toggle-rounded li:first-child a{border-bottom-left-radius:9999px;border-top-left-radius:9999px;padding-left:1.25em}html.theme--documenter-dark .tabs.is-toggle.is-toggle-rounded li:last-child a{border-bottom-right-radius:9999px;border-top-right-radius:9999px;padding-right:1.25em}html.theme--documenter-dark .tabs.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.tabs{font-size:.75rem}html.theme--documenter-dark .tabs.is-medium{font-size:1.25rem}html.theme--documenter-dark .tabs.is-large{font-size:1.5rem}html.theme--documenter-dark .column{display:block;flex-basis:0;flex-grow:1;flex-shrink:1;padding:.75rem}.columns.is-mobile>html.theme--documenter-dark .column.is-narrow{flex:none;width:unset}.columns.is-mobile>html.theme--documenter-dark .column.is-full{flex:none;width:100%}.columns.is-mobile>html.theme--documenter-dark .column.is-three-quarters{flex:none;width:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-two-thirds{flex:none;width:66.6666%}.columns.is-mobile>html.theme--documenter-dark .column.is-half{flex:none;width:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-third{flex:none;width:33.3333%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-quarter{flex:none;width:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-fifth{flex:none;width:20%}.columns.is-mobile>html.theme--documenter-dark .column.is-two-fifths{flex:none;width:40%}.columns.is-mobile>html.theme--documenter-dark .column.is-three-fifths{flex:none;width:60%}.columns.is-mobile>html.theme--documenter-dark .column.is-four-fifths{flex:none;width:80%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-three-quarters{margin-left:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-two-thirds{margin-left:66.6666%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-half{margin-left:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-third{margin-left:33.3333%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-quarter{margin-left:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-fifth{margin-left:20%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-two-fifths{margin-left:40%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-three-fifths{margin-left:60%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-four-fifths{margin-left:80%}.columns.is-mobile>html.theme--documenter-dark .column.is-0{flex:none;width:0%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-0{margin-left:0%}.columns.is-mobile>html.theme--documenter-dark .column.is-1{flex:none;width:8.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-1{margin-left:8.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-2{flex:none;width:16.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-2{margin-left:16.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-3{flex:none;width:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-3{margin-left:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-4{flex:none;width:33.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-4{margin-left:33.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-5{flex:none;width:41.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-5{margin-left:41.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-6{flex:none;width:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-6{margin-left:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-7{flex:none;width:58.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-7{margin-left:58.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-8{flex:none;width:66.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-8{margin-left:66.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-9{flex:none;width:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-9{margin-left:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-10{flex:none;width:83.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-10{margin-left:83.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-11{flex:none;width:91.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-11{margin-left:91.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-12{flex:none;width:100%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-12{margin-left:100%}@media screen and (max-width: 768px){html.theme--documenter-dark .column.is-narrow-mobile{flex:none;width:unset}html.theme--documenter-dark .column.is-full-mobile{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-mobile{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-mobile{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-mobile{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-mobile{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-mobile{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-mobile{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-mobile{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-mobile{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-mobile{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-mobile{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-mobile{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-mobile{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-mobile{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-mobile{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-mobile{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-mobile{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-mobile{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-mobile{margin-left:80%}html.theme--documenter-dark .column.is-0-mobile{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-mobile{margin-left:0%}html.theme--documenter-dark .column.is-1-mobile{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-mobile{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-mobile{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-mobile{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-mobile{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-mobile{margin-left:25%}html.theme--documenter-dark .column.is-4-mobile{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-mobile{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-mobile{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-mobile{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-mobile{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-mobile{margin-left:50%}html.theme--documenter-dark .column.is-7-mobile{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-mobile{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-mobile{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-mobile{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-mobile{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-mobile{margin-left:75%}html.theme--documenter-dark .column.is-10-mobile{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-mobile{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-mobile{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-mobile{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-mobile{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-mobile{margin-left:100%}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .column.is-narrow,html.theme--documenter-dark .column.is-narrow-tablet{flex:none;width:unset}html.theme--documenter-dark .column.is-full,html.theme--documenter-dark .column.is-full-tablet{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters,html.theme--documenter-dark .column.is-three-quarters-tablet{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds,html.theme--documenter-dark .column.is-two-thirds-tablet{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half,html.theme--documenter-dark .column.is-half-tablet{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third,html.theme--documenter-dark .column.is-one-third-tablet{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter,html.theme--documenter-dark .column.is-one-quarter-tablet{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth,html.theme--documenter-dark .column.is-one-fifth-tablet{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths,html.theme--documenter-dark .column.is-two-fifths-tablet{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths,html.theme--documenter-dark .column.is-three-fifths-tablet{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths,html.theme--documenter-dark .column.is-four-fifths-tablet{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters,html.theme--documenter-dark .column.is-offset-three-quarters-tablet{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds,html.theme--documenter-dark .column.is-offset-two-thirds-tablet{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half,html.theme--documenter-dark .column.is-offset-half-tablet{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third,html.theme--documenter-dark .column.is-offset-one-third-tablet{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter,html.theme--documenter-dark .column.is-offset-one-quarter-tablet{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth,html.theme--documenter-dark .column.is-offset-one-fifth-tablet{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths,html.theme--documenter-dark .column.is-offset-two-fifths-tablet{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths,html.theme--documenter-dark .column.is-offset-three-fifths-tablet{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths,html.theme--documenter-dark .column.is-offset-four-fifths-tablet{margin-left:80%}html.theme--documenter-dark .column.is-0,html.theme--documenter-dark .column.is-0-tablet{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0,html.theme--documenter-dark .column.is-offset-0-tablet{margin-left:0%}html.theme--documenter-dark .column.is-1,html.theme--documenter-dark .column.is-1-tablet{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1,html.theme--documenter-dark .column.is-offset-1-tablet{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2,html.theme--documenter-dark .column.is-2-tablet{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2,html.theme--documenter-dark .column.is-offset-2-tablet{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3,html.theme--documenter-dark .column.is-3-tablet{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3,html.theme--documenter-dark .column.is-offset-3-tablet{margin-left:25%}html.theme--documenter-dark .column.is-4,html.theme--documenter-dark .column.is-4-tablet{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4,html.theme--documenter-dark .column.is-offset-4-tablet{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5,html.theme--documenter-dark .column.is-5-tablet{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5,html.theme--documenter-dark .column.is-offset-5-tablet{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6,html.theme--documenter-dark .column.is-6-tablet{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6,html.theme--documenter-dark .column.is-offset-6-tablet{margin-left:50%}html.theme--documenter-dark .column.is-7,html.theme--documenter-dark .column.is-7-tablet{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7,html.theme--documenter-dark .column.is-offset-7-tablet{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8,html.theme--documenter-dark .column.is-8-tablet{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8,html.theme--documenter-dark .column.is-offset-8-tablet{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9,html.theme--documenter-dark .column.is-9-tablet{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9,html.theme--documenter-dark .column.is-offset-9-tablet{margin-left:75%}html.theme--documenter-dark .column.is-10,html.theme--documenter-dark .column.is-10-tablet{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10,html.theme--documenter-dark .column.is-offset-10-tablet{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11,html.theme--documenter-dark .column.is-11-tablet{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11,html.theme--documenter-dark .column.is-offset-11-tablet{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12,html.theme--documenter-dark .column.is-12-tablet{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12,html.theme--documenter-dark .column.is-offset-12-tablet{margin-left:100%}}@media screen and (max-width: 1055px){html.theme--documenter-dark .column.is-narrow-touch{flex:none;width:unset}html.theme--documenter-dark .column.is-full-touch{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-touch{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-touch{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-touch{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-touch{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-touch{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-touch{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-touch{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-touch{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-touch{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-touch{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-touch{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-touch{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-touch{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-touch{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-touch{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-touch{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-touch{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-touch{margin-left:80%}html.theme--documenter-dark .column.is-0-touch{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-touch{margin-left:0%}html.theme--documenter-dark .column.is-1-touch{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-touch{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-touch{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-touch{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-touch{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-touch{margin-left:25%}html.theme--documenter-dark .column.is-4-touch{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-touch{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-touch{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-touch{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-touch{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-touch{margin-left:50%}html.theme--documenter-dark .column.is-7-touch{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-touch{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-touch{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-touch{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-touch{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-touch{margin-left:75%}html.theme--documenter-dark .column.is-10-touch{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-touch{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-touch{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-touch{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-touch{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-touch{margin-left:100%}}@media screen and (min-width: 1056px){html.theme--documenter-dark .column.is-narrow-desktop{flex:none;width:unset}html.theme--documenter-dark .column.is-full-desktop{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-desktop{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-desktop{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-desktop{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-desktop{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-desktop{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-desktop{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-desktop{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-desktop{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-desktop{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-desktop{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-desktop{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-desktop{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-desktop{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-desktop{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-desktop{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-desktop{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-desktop{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-desktop{margin-left:80%}html.theme--documenter-dark .column.is-0-desktop{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-desktop{margin-left:0%}html.theme--documenter-dark .column.is-1-desktop{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-desktop{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-desktop{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-desktop{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-desktop{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-desktop{margin-left:25%}html.theme--documenter-dark .column.is-4-desktop{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-desktop{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-desktop{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-desktop{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-desktop{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-desktop{margin-left:50%}html.theme--documenter-dark .column.is-7-desktop{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-desktop{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-desktop{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-desktop{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-desktop{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-desktop{margin-left:75%}html.theme--documenter-dark .column.is-10-desktop{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-desktop{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-desktop{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-desktop{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-desktop{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-desktop{margin-left:100%}}@media screen and (min-width: 1216px){html.theme--documenter-dark .column.is-narrow-widescreen{flex:none;width:unset}html.theme--documenter-dark .column.is-full-widescreen{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-widescreen{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-widescreen{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-widescreen{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-widescreen{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-widescreen{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-widescreen{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-widescreen{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-widescreen{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-widescreen{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-widescreen{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-widescreen{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-widescreen{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-widescreen{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-widescreen{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-widescreen{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-widescreen{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-widescreen{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-widescreen{margin-left:80%}html.theme--documenter-dark .column.is-0-widescreen{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-widescreen{margin-left:0%}html.theme--documenter-dark .column.is-1-widescreen{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-widescreen{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-widescreen{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-widescreen{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-widescreen{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-widescreen{margin-left:25%}html.theme--documenter-dark .column.is-4-widescreen{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-widescreen{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-widescreen{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-widescreen{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-widescreen{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-widescreen{margin-left:50%}html.theme--documenter-dark .column.is-7-widescreen{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-widescreen{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-widescreen{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-widescreen{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-widescreen{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-widescreen{margin-left:75%}html.theme--documenter-dark .column.is-10-widescreen{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-widescreen{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-widescreen{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-widescreen{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-widescreen{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-widescreen{margin-left:100%}}@media screen and (min-width: 1408px){html.theme--documenter-dark .column.is-narrow-fullhd{flex:none;width:unset}html.theme--documenter-dark .column.is-full-fullhd{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-fullhd{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-fullhd{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-fullhd{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-fullhd{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-fullhd{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-fullhd{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-fullhd{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-fullhd{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-fullhd{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-fullhd{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-fullhd{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-fullhd{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-fullhd{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-fullhd{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-fullhd{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-fullhd{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-fullhd{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-fullhd{margin-left:80%}html.theme--documenter-dark .column.is-0-fullhd{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-fullhd{margin-left:0%}html.theme--documenter-dark .column.is-1-fullhd{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-fullhd{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-fullhd{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-fullhd{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-fullhd{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-fullhd{margin-left:25%}html.theme--documenter-dark .column.is-4-fullhd{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-fullhd{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-fullhd{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-fullhd{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-fullhd{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-fullhd{margin-left:50%}html.theme--documenter-dark .column.is-7-fullhd{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-fullhd{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-fullhd{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-fullhd{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-fullhd{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-fullhd{margin-left:75%}html.theme--documenter-dark .column.is-10-fullhd{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-fullhd{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-fullhd{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-fullhd{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-fullhd{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-fullhd{margin-left:100%}}html.theme--documenter-dark .columns{margin-left:-.75rem;margin-right:-.75rem;margin-top:-.75rem}html.theme--documenter-dark .columns:last-child{margin-bottom:-.75rem}html.theme--documenter-dark .columns:not(:last-child){margin-bottom:calc(1.5rem - .75rem)}html.theme--documenter-dark .columns.is-centered{justify-content:center}html.theme--documenter-dark .columns.is-gapless{margin-left:0;margin-right:0;margin-top:0}html.theme--documenter-dark .columns.is-gapless>.column{margin:0;padding:0 !important}html.theme--documenter-dark .columns.is-gapless:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .columns.is-gapless:last-child{margin-bottom:0}html.theme--documenter-dark .columns.is-mobile{display:flex}html.theme--documenter-dark .columns.is-multiline{flex-wrap:wrap}html.theme--documenter-dark .columns.is-vcentered{align-items:center}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns:not(.is-desktop){display:flex}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-desktop{display:flex}}html.theme--documenter-dark .columns.is-variable{--columnGap: 0.75rem;margin-left:calc(-1 * var(--columnGap));margin-right:calc(-1 * var(--columnGap))}html.theme--documenter-dark .columns.is-variable>.column{padding-left:var(--columnGap);padding-right:var(--columnGap)}html.theme--documenter-dark .columns.is-variable.is-0{--columnGap: 0rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-0-mobile{--columnGap: 0rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-0-tablet{--columnGap: 0rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-0-tablet-only{--columnGap: 0rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-0-touch{--columnGap: 0rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-0-desktop{--columnGap: 0rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-0-desktop-only{--columnGap: 0rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-0-widescreen{--columnGap: 0rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-0-widescreen-only{--columnGap: 0rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-0-fullhd{--columnGap: 0rem}}html.theme--documenter-dark .columns.is-variable.is-1{--columnGap: .25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-1-mobile{--columnGap: .25rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-1-tablet{--columnGap: .25rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-1-tablet-only{--columnGap: .25rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-1-touch{--columnGap: .25rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-1-desktop{--columnGap: .25rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-1-desktop-only{--columnGap: .25rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-1-widescreen{--columnGap: .25rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-1-widescreen-only{--columnGap: .25rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-1-fullhd{--columnGap: .25rem}}html.theme--documenter-dark .columns.is-variable.is-2{--columnGap: .5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-2-mobile{--columnGap: .5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-2-tablet{--columnGap: .5rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-2-tablet-only{--columnGap: .5rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-2-touch{--columnGap: .5rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-2-desktop{--columnGap: .5rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-2-desktop-only{--columnGap: .5rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-2-widescreen{--columnGap: .5rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-2-widescreen-only{--columnGap: .5rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-2-fullhd{--columnGap: .5rem}}html.theme--documenter-dark .columns.is-variable.is-3{--columnGap: .75rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-3-mobile{--columnGap: .75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-3-tablet{--columnGap: .75rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-3-tablet-only{--columnGap: .75rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-3-touch{--columnGap: .75rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-3-desktop{--columnGap: .75rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-3-desktop-only{--columnGap: .75rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-3-widescreen{--columnGap: .75rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-3-widescreen-only{--columnGap: .75rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-3-fullhd{--columnGap: .75rem}}html.theme--documenter-dark .columns.is-variable.is-4{--columnGap: 1rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-4-mobile{--columnGap: 1rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-4-tablet{--columnGap: 1rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-4-tablet-only{--columnGap: 1rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-4-touch{--columnGap: 1rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-4-desktop{--columnGap: 1rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-4-desktop-only{--columnGap: 1rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-4-widescreen{--columnGap: 1rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-4-widescreen-only{--columnGap: 1rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-4-fullhd{--columnGap: 1rem}}html.theme--documenter-dark .columns.is-variable.is-5{--columnGap: 1.25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-5-mobile{--columnGap: 1.25rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-5-tablet{--columnGap: 1.25rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-5-tablet-only{--columnGap: 1.25rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-5-touch{--columnGap: 1.25rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-5-desktop{--columnGap: 1.25rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-5-desktop-only{--columnGap: 1.25rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-5-widescreen{--columnGap: 1.25rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-5-widescreen-only{--columnGap: 1.25rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-5-fullhd{--columnGap: 1.25rem}}html.theme--documenter-dark .columns.is-variable.is-6{--columnGap: 1.5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-6-mobile{--columnGap: 1.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-6-tablet{--columnGap: 1.5rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-6-tablet-only{--columnGap: 1.5rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-6-touch{--columnGap: 1.5rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-6-desktop{--columnGap: 1.5rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-6-desktop-only{--columnGap: 1.5rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-6-widescreen{--columnGap: 1.5rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-6-widescreen-only{--columnGap: 1.5rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-6-fullhd{--columnGap: 1.5rem}}html.theme--documenter-dark .columns.is-variable.is-7{--columnGap: 1.75rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-7-mobile{--columnGap: 1.75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-7-tablet{--columnGap: 1.75rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-7-tablet-only{--columnGap: 1.75rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-7-touch{--columnGap: 1.75rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-7-desktop{--columnGap: 1.75rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-7-desktop-only{--columnGap: 1.75rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-7-widescreen{--columnGap: 1.75rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-7-widescreen-only{--columnGap: 1.75rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-7-fullhd{--columnGap: 1.75rem}}html.theme--documenter-dark .columns.is-variable.is-8{--columnGap: 2rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-8-mobile{--columnGap: 2rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-8-tablet{--columnGap: 2rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-8-tablet-only{--columnGap: 2rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-8-touch{--columnGap: 2rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-8-desktop{--columnGap: 2rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-8-desktop-only{--columnGap: 2rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-8-widescreen{--columnGap: 2rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-8-widescreen-only{--columnGap: 2rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-8-fullhd{--columnGap: 2rem}}html.theme--documenter-dark .tile{align-items:stretch;display:block;flex-basis:0;flex-grow:1;flex-shrink:1;min-height:min-content}html.theme--documenter-dark .tile.is-ancestor{margin-left:-.75rem;margin-right:-.75rem;margin-top:-.75rem}html.theme--documenter-dark .tile.is-ancestor:last-child{margin-bottom:-.75rem}html.theme--documenter-dark .tile.is-ancestor:not(:last-child){margin-bottom:.75rem}html.theme--documenter-dark .tile.is-child{margin:0 !important}html.theme--documenter-dark .tile.is-parent{padding:.75rem}html.theme--documenter-dark .tile.is-vertical{flex-direction:column}html.theme--documenter-dark .tile.is-vertical>.tile.is-child:not(:last-child){margin-bottom:1.5rem !important}@media screen and (min-width: 769px),print{html.theme--documenter-dark .tile:not(.is-child){display:flex}html.theme--documenter-dark .tile.is-1{flex:none;width:8.33333337%}html.theme--documenter-dark .tile.is-2{flex:none;width:16.66666674%}html.theme--documenter-dark .tile.is-3{flex:none;width:25%}html.theme--documenter-dark .tile.is-4{flex:none;width:33.33333337%}html.theme--documenter-dark .tile.is-5{flex:none;width:41.66666674%}html.theme--documenter-dark .tile.is-6{flex:none;width:50%}html.theme--documenter-dark .tile.is-7{flex:none;width:58.33333337%}html.theme--documenter-dark .tile.is-8{flex:none;width:66.66666674%}html.theme--documenter-dark .tile.is-9{flex:none;width:75%}html.theme--documenter-dark .tile.is-10{flex:none;width:83.33333337%}html.theme--documenter-dark .tile.is-11{flex:none;width:91.66666674%}html.theme--documenter-dark .tile.is-12{flex:none;width:100%}}html.theme--documenter-dark .hero{align-items:stretch;display:flex;flex-direction:column;justify-content:space-between}html.theme--documenter-dark .hero .navbar{background:none}html.theme--documenter-dark .hero .tabs ul{border-bottom:none}html.theme--documenter-dark .hero.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .hero.is-white a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-white strong{color:inherit}html.theme--documenter-dark .hero.is-white .title{color:#0a0a0a}html.theme--documenter-dark .hero.is-white .subtitle{color:rgba(10,10,10,0.9)}html.theme--documenter-dark .hero.is-white .subtitle a:not(.button),html.theme--documenter-dark .hero.is-white .subtitle strong{color:#0a0a0a}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-white .navbar-menu{background-color:#fff}}html.theme--documenter-dark .hero.is-white .navbar-item,html.theme--documenter-dark .hero.is-white .navbar-link{color:rgba(10,10,10,0.7)}html.theme--documenter-dark .hero.is-white a.navbar-item:hover,html.theme--documenter-dark .hero.is-white a.navbar-item.is-active,html.theme--documenter-dark .hero.is-white .navbar-link:hover,html.theme--documenter-dark .hero.is-white .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .hero.is-white .tabs a{color:#0a0a0a;opacity:0.9}html.theme--documenter-dark .hero.is-white .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-white .tabs li.is-active a{color:#fff !important;opacity:1}html.theme--documenter-dark .hero.is-white .tabs.is-boxed a,html.theme--documenter-dark .hero.is-white .tabs.is-toggle a{color:#0a0a0a}html.theme--documenter-dark .hero.is-white .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-white .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-white .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-white .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-white .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-white .tabs.is-toggle li.is-active a:hover{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .hero.is-white.is-bold{background-image:linear-gradient(141deg, #e8e3e4 0%, #fff 71%, #fff 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-white.is-bold .navbar-menu{background-image:linear-gradient(141deg, #e8e3e4 0%, #fff 71%, #fff 100%)}}html.theme--documenter-dark .hero.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .hero.is-black a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-black strong{color:inherit}html.theme--documenter-dark .hero.is-black .title{color:#fff}html.theme--documenter-dark .hero.is-black .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-black .subtitle a:not(.button),html.theme--documenter-dark .hero.is-black .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-black .navbar-menu{background-color:#0a0a0a}}html.theme--documenter-dark .hero.is-black .navbar-item,html.theme--documenter-dark .hero.is-black .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-black a.navbar-item:hover,html.theme--documenter-dark .hero.is-black a.navbar-item.is-active,html.theme--documenter-dark .hero.is-black .navbar-link:hover,html.theme--documenter-dark .hero.is-black .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .hero.is-black .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-black .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-black .tabs li.is-active a{color:#0a0a0a !important;opacity:1}html.theme--documenter-dark .hero.is-black .tabs.is-boxed a,html.theme--documenter-dark .hero.is-black .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-black .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-black .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-black .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-black .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-black .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-black .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .hero.is-black.is-bold{background-image:linear-gradient(141deg, #000 0%, #0a0a0a 71%, #181616 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-black.is-bold .navbar-menu{background-image:linear-gradient(141deg, #000 0%, #0a0a0a 71%, #181616 100%)}}html.theme--documenter-dark .hero.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-light strong{color:inherit}html.theme--documenter-dark .hero.is-light .title{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .subtitle{color:rgba(0,0,0,0.9)}html.theme--documenter-dark .hero.is-light .subtitle a:not(.button),html.theme--documenter-dark .hero.is-light .subtitle strong{color:rgba(0,0,0,0.7)}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-light .navbar-menu{background-color:#ecf0f1}}html.theme--documenter-dark .hero.is-light .navbar-item,html.theme--documenter-dark .hero.is-light .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light a.navbar-item:hover,html.theme--documenter-dark .hero.is-light a.navbar-item.is-active,html.theme--documenter-dark .hero.is-light .navbar-link:hover,html.theme--documenter-dark .hero.is-light .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .tabs a{color:rgba(0,0,0,0.7);opacity:0.9}html.theme--documenter-dark .hero.is-light .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-light .tabs li.is-active a{color:#ecf0f1 !important;opacity:1}html.theme--documenter-dark .hero.is-light .tabs.is-boxed a,html.theme--documenter-dark .hero.is-light .tabs.is-toggle a{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-light .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-light .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-light .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-light .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-light .tabs.is-toggle li.is-active a:hover{background-color:rgba(0,0,0,0.7);border-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .hero.is-light.is-bold{background-image:linear-gradient(141deg, #cadfe0 0%, #ecf0f1 71%, #fafbfc 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-light.is-bold .navbar-menu{background-image:linear-gradient(141deg, #cadfe0 0%, #ecf0f1 71%, #fafbfc 100%)}}html.theme--documenter-dark .hero.is-dark,html.theme--documenter-dark .content kbd.hero{background-color:#282f2f;color:#fff}html.theme--documenter-dark .hero.is-dark a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .content kbd.hero a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-dark strong,html.theme--documenter-dark .content kbd.hero strong{color:inherit}html.theme--documenter-dark .hero.is-dark .title,html.theme--documenter-dark .content kbd.hero .title{color:#fff}html.theme--documenter-dark .hero.is-dark .subtitle,html.theme--documenter-dark .content kbd.hero .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-dark .subtitle a:not(.button),html.theme--documenter-dark .content kbd.hero .subtitle a:not(.button),html.theme--documenter-dark .hero.is-dark .subtitle strong,html.theme--documenter-dark .content kbd.hero .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-dark .navbar-menu,html.theme--documenter-dark .content kbd.hero .navbar-menu{background-color:#282f2f}}html.theme--documenter-dark .hero.is-dark .navbar-item,html.theme--documenter-dark .content kbd.hero .navbar-item,html.theme--documenter-dark .hero.is-dark .navbar-link,html.theme--documenter-dark .content kbd.hero .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-dark a.navbar-item:hover,html.theme--documenter-dark .content kbd.hero a.navbar-item:hover,html.theme--documenter-dark .hero.is-dark a.navbar-item.is-active,html.theme--documenter-dark .content kbd.hero a.navbar-item.is-active,html.theme--documenter-dark .hero.is-dark .navbar-link:hover,html.theme--documenter-dark .content kbd.hero .navbar-link:hover,html.theme--documenter-dark .hero.is-dark .navbar-link.is-active,html.theme--documenter-dark .content kbd.hero .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .hero.is-dark .tabs a,html.theme--documenter-dark .content kbd.hero .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-dark .tabs a:hover,html.theme--documenter-dark .content kbd.hero .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-dark .tabs li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs li.is-active a{color:#282f2f !important;opacity:1}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed a,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed a,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle a,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed a:hover,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle a:hover,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-dark .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#282f2f}html.theme--documenter-dark .hero.is-dark.is-bold,html.theme--documenter-dark .content kbd.hero.is-bold{background-image:linear-gradient(141deg, #0f1615 0%, #282f2f 71%, #313c40 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-dark.is-bold .navbar-menu,html.theme--documenter-dark .content kbd.hero.is-bold .navbar-menu{background-image:linear-gradient(141deg, #0f1615 0%, #282f2f 71%, #313c40 100%)}}html.theme--documenter-dark .hero.is-primary,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .hero.is-primary a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-primary strong,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink strong{color:inherit}html.theme--documenter-dark .hero.is-primary .title,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .title{color:#fff}html.theme--documenter-dark .hero.is-primary .subtitle,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-primary .subtitle a:not(.button),html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle a:not(.button),html.theme--documenter-dark .hero.is-primary .subtitle strong,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-primary .navbar-menu,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-menu{background-color:#375a7f}}html.theme--documenter-dark .hero.is-primary .navbar-item,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-item,html.theme--documenter-dark .hero.is-primary .navbar-link,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-primary a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a.navbar-item:hover,html.theme--documenter-dark .hero.is-primary a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a.navbar-item.is-active,html.theme--documenter-dark .hero.is-primary .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link:hover,html.theme--documenter-dark .hero.is-primary .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .hero.is-primary .tabs a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-primary .tabs a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-primary .tabs li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs li.is-active a{color:#375a7f !important;opacity:1}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed a,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-primary .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#375a7f}html.theme--documenter-dark .hero.is-primary.is-bold,html.theme--documenter-dark .docstring>section>a.hero.is-bold.docs-sourcelink{background-image:linear-gradient(141deg, #214b62 0%, #375a7f 71%, #3a5796 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-primary.is-bold .navbar-menu,html.theme--documenter-dark .docstring>section>a.hero.is-bold.docs-sourcelink .navbar-menu{background-image:linear-gradient(141deg, #214b62 0%, #375a7f 71%, #3a5796 100%)}}html.theme--documenter-dark .hero.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .hero.is-link a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-link strong{color:inherit}html.theme--documenter-dark .hero.is-link .title{color:#fff}html.theme--documenter-dark .hero.is-link .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-link .subtitle a:not(.button),html.theme--documenter-dark .hero.is-link .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-link .navbar-menu{background-color:#1abc9c}}html.theme--documenter-dark .hero.is-link .navbar-item,html.theme--documenter-dark .hero.is-link .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-link a.navbar-item:hover,html.theme--documenter-dark .hero.is-link a.navbar-item.is-active,html.theme--documenter-dark .hero.is-link .navbar-link:hover,html.theme--documenter-dark .hero.is-link .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .hero.is-link .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-link .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-link .tabs li.is-active a{color:#1abc9c !important;opacity:1}html.theme--documenter-dark .hero.is-link .tabs.is-boxed a,html.theme--documenter-dark .hero.is-link .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-link .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-link .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-link .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-link .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-link .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-link .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#1abc9c}html.theme--documenter-dark .hero.is-link.is-bold{background-image:linear-gradient(141deg, #0c9764 0%, #1abc9c 71%, #17d8d2 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-link.is-bold .navbar-menu{background-image:linear-gradient(141deg, #0c9764 0%, #1abc9c 71%, #17d8d2 100%)}}html.theme--documenter-dark .hero.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .hero.is-info a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-info strong{color:inherit}html.theme--documenter-dark .hero.is-info .title{color:#fff}html.theme--documenter-dark .hero.is-info .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-info .subtitle a:not(.button),html.theme--documenter-dark .hero.is-info .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-info .navbar-menu{background-color:#024c7d}}html.theme--documenter-dark .hero.is-info .navbar-item,html.theme--documenter-dark .hero.is-info .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-info a.navbar-item:hover,html.theme--documenter-dark .hero.is-info a.navbar-item.is-active,html.theme--documenter-dark .hero.is-info .navbar-link:hover,html.theme--documenter-dark .hero.is-info .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .hero.is-info .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-info .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-info .tabs li.is-active a{color:#024c7d !important;opacity:1}html.theme--documenter-dark .hero.is-info .tabs.is-boxed a,html.theme--documenter-dark .hero.is-info .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-info .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-info .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-info .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-info .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-info .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-info .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#024c7d}html.theme--documenter-dark .hero.is-info.is-bold{background-image:linear-gradient(141deg, #003a4c 0%, #024c7d 71%, #004299 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-info.is-bold .navbar-menu{background-image:linear-gradient(141deg, #003a4c 0%, #024c7d 71%, #004299 100%)}}html.theme--documenter-dark .hero.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .hero.is-success a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-success strong{color:inherit}html.theme--documenter-dark .hero.is-success .title{color:#fff}html.theme--documenter-dark .hero.is-success .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-success .subtitle a:not(.button),html.theme--documenter-dark .hero.is-success .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-success .navbar-menu{background-color:#008438}}html.theme--documenter-dark .hero.is-success .navbar-item,html.theme--documenter-dark .hero.is-success .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-success a.navbar-item:hover,html.theme--documenter-dark .hero.is-success a.navbar-item.is-active,html.theme--documenter-dark .hero.is-success .navbar-link:hover,html.theme--documenter-dark .hero.is-success .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .hero.is-success .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-success .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-success .tabs li.is-active a{color:#008438 !important;opacity:1}html.theme--documenter-dark .hero.is-success .tabs.is-boxed a,html.theme--documenter-dark .hero.is-success .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-success .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-success .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-success .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-success .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-success .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-success .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#008438}html.theme--documenter-dark .hero.is-success.is-bold{background-image:linear-gradient(141deg, #005115 0%, #008438 71%, #009e5d 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-success.is-bold .navbar-menu{background-image:linear-gradient(141deg, #005115 0%, #008438 71%, #009e5d 100%)}}html.theme--documenter-dark .hero.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .hero.is-warning a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-warning strong{color:inherit}html.theme--documenter-dark .hero.is-warning .title{color:#fff}html.theme--documenter-dark .hero.is-warning .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-warning .subtitle a:not(.button),html.theme--documenter-dark .hero.is-warning .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-warning .navbar-menu{background-color:#ad8100}}html.theme--documenter-dark .hero.is-warning .navbar-item,html.theme--documenter-dark .hero.is-warning .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-warning a.navbar-item:hover,html.theme--documenter-dark .hero.is-warning a.navbar-item.is-active,html.theme--documenter-dark .hero.is-warning .navbar-link:hover,html.theme--documenter-dark .hero.is-warning .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .hero.is-warning .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-warning .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-warning .tabs li.is-active a{color:#ad8100 !important;opacity:1}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed a,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-warning .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#ad8100}html.theme--documenter-dark .hero.is-warning.is-bold{background-image:linear-gradient(141deg, #7a4700 0%, #ad8100 71%, #c7b500 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-warning.is-bold .navbar-menu{background-image:linear-gradient(141deg, #7a4700 0%, #ad8100 71%, #c7b500 100%)}}html.theme--documenter-dark .hero.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .hero.is-danger a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-danger strong{color:inherit}html.theme--documenter-dark .hero.is-danger .title{color:#fff}html.theme--documenter-dark .hero.is-danger .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-danger .subtitle a:not(.button),html.theme--documenter-dark .hero.is-danger .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-danger .navbar-menu{background-color:#9e1b0d}}html.theme--documenter-dark .hero.is-danger .navbar-item,html.theme--documenter-dark .hero.is-danger .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-danger a.navbar-item:hover,html.theme--documenter-dark .hero.is-danger a.navbar-item.is-active,html.theme--documenter-dark .hero.is-danger .navbar-link:hover,html.theme--documenter-dark .hero.is-danger .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .hero.is-danger .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-danger .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-danger .tabs li.is-active a{color:#9e1b0d !important;opacity:1}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed a,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-danger .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#9e1b0d}html.theme--documenter-dark .hero.is-danger.is-bold{background-image:linear-gradient(141deg, #75030b 0%, #9e1b0d 71%, #ba380a 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-danger.is-bold .navbar-menu{background-image:linear-gradient(141deg, #75030b 0%, #9e1b0d 71%, #ba380a 100%)}}html.theme--documenter-dark .hero.is-small .hero-body,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.hero .hero-body{padding:1.5rem}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero.is-medium .hero-body{padding:9rem 4.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero.is-large .hero-body{padding:18rem 6rem}}html.theme--documenter-dark .hero.is-halfheight .hero-body,html.theme--documenter-dark .hero.is-fullheight .hero-body,html.theme--documenter-dark .hero.is-fullheight-with-navbar .hero-body{align-items:center;display:flex}html.theme--documenter-dark .hero.is-halfheight .hero-body>.container,html.theme--documenter-dark .hero.is-fullheight .hero-body>.container,html.theme--documenter-dark .hero.is-fullheight-with-navbar .hero-body>.container{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .hero.is-halfheight{min-height:50vh}html.theme--documenter-dark .hero.is-fullheight{min-height:100vh}html.theme--documenter-dark .hero-video{overflow:hidden}html.theme--documenter-dark .hero-video video{left:50%;min-height:100%;min-width:100%;position:absolute;top:50%;transform:translate3d(-50%, -50%, 0)}html.theme--documenter-dark .hero-video.is-transparent{opacity:0.3}@media screen and (max-width: 768px){html.theme--documenter-dark .hero-video{display:none}}html.theme--documenter-dark .hero-buttons{margin-top:1.5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .hero-buttons .button{display:flex}html.theme--documenter-dark .hero-buttons .button:not(:last-child){margin-bottom:0.75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero-buttons{display:flex;justify-content:center}html.theme--documenter-dark .hero-buttons .button:not(:last-child){margin-right:1.5rem}}html.theme--documenter-dark .hero-head,html.theme--documenter-dark .hero-foot{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .hero-body{flex-grow:1;flex-shrink:0;padding:3rem 1.5rem}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero-body{padding:3rem 3rem}}html.theme--documenter-dark .section{padding:3rem 1.5rem}@media screen and (min-width: 1056px){html.theme--documenter-dark .section{padding:3rem 3rem}html.theme--documenter-dark .section.is-medium{padding:9rem 4.5rem}html.theme--documenter-dark .section.is-large{padding:18rem 6rem}}html.theme--documenter-dark .footer{background-color:#282f2f;padding:3rem 1.5rem 6rem}html.theme--documenter-dark hr{height:1px}html.theme--documenter-dark h6{text-transform:uppercase;letter-spacing:0.5px}html.theme--documenter-dark .hero{background-color:#343c3d}html.theme--documenter-dark a{transition:all 200ms ease}html.theme--documenter-dark .button{transition:all 200ms ease;border-width:1px;color:#fff}html.theme--documenter-dark .button.is-active,html.theme--documenter-dark .button.is-focused,html.theme--documenter-dark .button:active,html.theme--documenter-dark .button:focus{box-shadow:0 0 0 2px rgba(140,155,157,0.5)}html.theme--documenter-dark .button.is-white.is-hovered,html.theme--documenter-dark .button.is-white:hover{background-color:#fff}html.theme--documenter-dark .button.is-white.is-active,html.theme--documenter-dark .button.is-white.is-focused,html.theme--documenter-dark .button.is-white:active,html.theme--documenter-dark .button.is-white:focus{border-color:#fff;box-shadow:0 0 0 2px rgba(255,255,255,0.5)}html.theme--documenter-dark .button.is-black.is-hovered,html.theme--documenter-dark .button.is-black:hover{background-color:#1d1d1d}html.theme--documenter-dark .button.is-black.is-active,html.theme--documenter-dark .button.is-black.is-focused,html.theme--documenter-dark .button.is-black:active,html.theme--documenter-dark .button.is-black:focus{border-color:#0a0a0a;box-shadow:0 0 0 2px rgba(10,10,10,0.5)}html.theme--documenter-dark .button.is-light.is-hovered,html.theme--documenter-dark .button.is-light:hover{background-color:#fff}html.theme--documenter-dark .button.is-light.is-active,html.theme--documenter-dark .button.is-light.is-focused,html.theme--documenter-dark .button.is-light:active,html.theme--documenter-dark .button.is-light:focus{border-color:#ecf0f1;box-shadow:0 0 0 2px rgba(236,240,241,0.5)}html.theme--documenter-dark .button.is-dark.is-hovered,html.theme--documenter-dark .content kbd.button.is-hovered,html.theme--documenter-dark .button.is-dark:hover,html.theme--documenter-dark .content kbd.button:hover{background-color:#3a4344}html.theme--documenter-dark .button.is-dark.is-active,html.theme--documenter-dark .content kbd.button.is-active,html.theme--documenter-dark .button.is-dark.is-focused,html.theme--documenter-dark .content kbd.button.is-focused,html.theme--documenter-dark .button.is-dark:active,html.theme--documenter-dark .content kbd.button:active,html.theme--documenter-dark .button.is-dark:focus,html.theme--documenter-dark .content kbd.button:focus{border-color:#282f2f;box-shadow:0 0 0 2px rgba(40,47,47,0.5)}html.theme--documenter-dark .button.is-primary.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary:hover,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:hover{background-color:#436d9a}html.theme--documenter-dark .button.is-primary.is-active,html.theme--documenter-dark .docstring>section>a.button.is-active.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink,html.theme--documenter-dark .button.is-primary:active,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary:focus,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus{border-color:#375a7f;box-shadow:0 0 0 2px rgba(55,90,127,0.5)}html.theme--documenter-dark .button.is-link.is-hovered,html.theme--documenter-dark .button.is-link:hover{background-color:#1fdeb8}html.theme--documenter-dark .button.is-link.is-active,html.theme--documenter-dark .button.is-link.is-focused,html.theme--documenter-dark .button.is-link:active,html.theme--documenter-dark .button.is-link:focus{border-color:#1abc9c;box-shadow:0 0 0 2px rgba(26,188,156,0.5)}html.theme--documenter-dark .button.is-info.is-hovered,html.theme--documenter-dark .button.is-info:hover{background-color:#0363a3}html.theme--documenter-dark .button.is-info.is-active,html.theme--documenter-dark .button.is-info.is-focused,html.theme--documenter-dark .button.is-info:active,html.theme--documenter-dark .button.is-info:focus{border-color:#024c7d;box-shadow:0 0 0 2px rgba(2,76,125,0.5)}html.theme--documenter-dark .button.is-success.is-hovered,html.theme--documenter-dark .button.is-success:hover{background-color:#00aa48}html.theme--documenter-dark .button.is-success.is-active,html.theme--documenter-dark .button.is-success.is-focused,html.theme--documenter-dark .button.is-success:active,html.theme--documenter-dark .button.is-success:focus{border-color:#008438;box-shadow:0 0 0 2px rgba(0,132,56,0.5)}html.theme--documenter-dark .button.is-warning.is-hovered,html.theme--documenter-dark .button.is-warning:hover{background-color:#d39e00}html.theme--documenter-dark .button.is-warning.is-active,html.theme--documenter-dark .button.is-warning.is-focused,html.theme--documenter-dark .button.is-warning:active,html.theme--documenter-dark .button.is-warning:focus{border-color:#ad8100;box-shadow:0 0 0 2px rgba(173,129,0,0.5)}html.theme--documenter-dark .button.is-danger.is-hovered,html.theme--documenter-dark .button.is-danger:hover{background-color:#c12110}html.theme--documenter-dark .button.is-danger.is-active,html.theme--documenter-dark .button.is-danger.is-focused,html.theme--documenter-dark .button.is-danger:active,html.theme--documenter-dark .button.is-danger:focus{border-color:#9e1b0d;box-shadow:0 0 0 2px rgba(158,27,13,0.5)}html.theme--documenter-dark .label{color:#dbdee0}html.theme--documenter-dark .button,html.theme--documenter-dark .control.has-icons-left .icon,html.theme--documenter-dark .control.has-icons-right .icon,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark .pagination-ellipsis,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .select,html.theme--documenter-dark .select select,html.theme--documenter-dark .textarea{height:2.5em}html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark .textarea{transition:all 200ms ease;box-shadow:none;border-width:1px;padding-left:1em;padding-right:1em}html.theme--documenter-dark .select:after,html.theme--documenter-dark .select select{border-width:1px}html.theme--documenter-dark .control.has-addons .button,html.theme--documenter-dark .control.has-addons .input,html.theme--documenter-dark .control.has-addons #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-addons form.docs-search>input,html.theme--documenter-dark .control.has-addons .select{margin-right:-1px}html.theme--documenter-dark .notification{background-color:#343c3d}html.theme--documenter-dark .card{box-shadow:none;border:1px solid #343c3d;background-color:#282f2f;border-radius:.4em}html.theme--documenter-dark .card .card-image img{border-radius:.4em .4em 0 0}html.theme--documenter-dark .card .card-header{box-shadow:none;background-color:rgba(18,18,18,0.2);border-radius:.4em .4em 0 0}html.theme--documenter-dark .card .card-footer{background-color:rgba(18,18,18,0.2)}html.theme--documenter-dark .card .card-footer,html.theme--documenter-dark .card .card-footer-item{border-width:1px;border-color:#343c3d}html.theme--documenter-dark .notification.is-white a:not(.button){color:#0a0a0a;text-decoration:underline}html.theme--documenter-dark .notification.is-black a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-light a:not(.button){color:rgba(0,0,0,0.7);text-decoration:underline}html.theme--documenter-dark .notification.is-dark a:not(.button),html.theme--documenter-dark .content kbd.notification a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-primary a:not(.button),html.theme--documenter-dark .docstring>section>a.notification.docs-sourcelink a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-link a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-info a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-success a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-warning a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-danger a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .tag,html.theme--documenter-dark .content kbd,html.theme--documenter-dark .docstring>section>a.docs-sourcelink{border-radius:.4em}html.theme--documenter-dark .menu-list a{transition:all 300ms ease}html.theme--documenter-dark .modal-card-body{background-color:#282f2f}html.theme--documenter-dark .modal-card-foot,html.theme--documenter-dark .modal-card-head{border-color:#343c3d}html.theme--documenter-dark .message-header{font-weight:700;background-color:#343c3d;color:#fff}html.theme--documenter-dark .message-body{border-width:1px;border-color:#343c3d}html.theme--documenter-dark .navbar{border-radius:.4em}html.theme--documenter-dark .navbar.is-transparent{background:none}html.theme--documenter-dark .navbar.is-primary .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-dropdown a.navbar-item.is-active{background-color:#1abc9c}@media screen and (max-width: 1055px){html.theme--documenter-dark .navbar .navbar-menu{background-color:#375a7f;border-radius:0 0 .4em .4em}}html.theme--documenter-dark .hero .navbar,html.theme--documenter-dark body>.navbar{border-radius:0}html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-previous{border-width:1px}html.theme--documenter-dark .panel-block,html.theme--documenter-dark .panel-heading,html.theme--documenter-dark .panel-tabs{border-width:1px}html.theme--documenter-dark .panel-block:first-child,html.theme--documenter-dark .panel-heading:first-child,html.theme--documenter-dark .panel-tabs:first-child{border-top-width:1px}html.theme--documenter-dark .panel-heading{font-weight:700}html.theme--documenter-dark .panel-tabs a{border-width:1px;margin-bottom:-1px}html.theme--documenter-dark .panel-tabs a.is-active{border-bottom-color:#17a689}html.theme--documenter-dark .panel-block:hover{color:#1dd2af}html.theme--documenter-dark .panel-block:hover .panel-icon{color:#1dd2af}html.theme--documenter-dark .panel-block.is-active .panel-icon{color:#17a689}html.theme--documenter-dark .tabs a{border-bottom-width:1px;margin-bottom:-1px}html.theme--documenter-dark .tabs ul{border-bottom-width:1px}html.theme--documenter-dark .tabs.is-boxed a{border-width:1px}html.theme--documenter-dark .tabs.is-boxed li.is-active a{background-color:#1f2424}html.theme--documenter-dark .tabs.is-toggle li a{border-width:1px;margin-bottom:0}html.theme--documenter-dark .tabs.is-toggle li+li{margin-left:-1px}html.theme--documenter-dark .hero.is-white .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-black .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-light .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-dark .navbar .navbar-dropdown .navbar-item:hover,html.theme--documenter-dark .content kbd.hero .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-primary .navbar .navbar-dropdown .navbar-item:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-link .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-info .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-success .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-warning .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-danger .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark h1 .docs-heading-anchor,html.theme--documenter-dark h1 .docs-heading-anchor:hover,html.theme--documenter-dark h1 .docs-heading-anchor:visited,html.theme--documenter-dark h2 .docs-heading-anchor,html.theme--documenter-dark h2 .docs-heading-anchor:hover,html.theme--documenter-dark h2 .docs-heading-anchor:visited,html.theme--documenter-dark h3 .docs-heading-anchor,html.theme--documenter-dark h3 .docs-heading-anchor:hover,html.theme--documenter-dark h3 .docs-heading-anchor:visited,html.theme--documenter-dark h4 .docs-heading-anchor,html.theme--documenter-dark h4 .docs-heading-anchor:hover,html.theme--documenter-dark h4 .docs-heading-anchor:visited,html.theme--documenter-dark h5 .docs-heading-anchor,html.theme--documenter-dark h5 .docs-heading-anchor:hover,html.theme--documenter-dark h5 .docs-heading-anchor:visited,html.theme--documenter-dark h6 .docs-heading-anchor,html.theme--documenter-dark h6 .docs-heading-anchor:hover,html.theme--documenter-dark h6 .docs-heading-anchor:visited{color:#f2f2f2}html.theme--documenter-dark h1 .docs-heading-anchor-permalink,html.theme--documenter-dark h2 .docs-heading-anchor-permalink,html.theme--documenter-dark h3 .docs-heading-anchor-permalink,html.theme--documenter-dark h4 .docs-heading-anchor-permalink,html.theme--documenter-dark h5 .docs-heading-anchor-permalink,html.theme--documenter-dark h6 .docs-heading-anchor-permalink{visibility:hidden;vertical-align:middle;margin-left:0.5em;font-size:0.7rem}html.theme--documenter-dark h1 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h2 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h3 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h4 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h5 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h6 .docs-heading-anchor-permalink::before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f0c1"}html.theme--documenter-dark h1:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h2:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h3:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h4:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h5:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h6:hover .docs-heading-anchor-permalink{visibility:visible}html.theme--documenter-dark .docs-light-only{display:none !important}html.theme--documenter-dark pre{position:relative;overflow:hidden}html.theme--documenter-dark pre code,html.theme--documenter-dark pre code.hljs{padding:0 .75rem !important;overflow:auto;display:block}html.theme--documenter-dark pre code:first-of-type,html.theme--documenter-dark pre code.hljs:first-of-type{padding-top:0.5rem !important}html.theme--documenter-dark pre code:last-of-type,html.theme--documenter-dark pre code.hljs:last-of-type{padding-bottom:0.5rem !important}html.theme--documenter-dark pre .copy-button{opacity:0.2;transition:opacity 0.2s;position:absolute;right:0em;top:0em;padding:0.5em;width:2.5em;height:2.5em;background:transparent;border:none;font-family:"Font Awesome 6 Free";color:#fff;cursor:pointer;text-align:center}html.theme--documenter-dark pre .copy-button:focus,html.theme--documenter-dark pre .copy-button:hover{opacity:1;background:rgba(255,255,255,0.1);color:#1abc9c}html.theme--documenter-dark pre .copy-button.success{color:#259a12;opacity:1}html.theme--documenter-dark pre .copy-button.error{color:#cb3c33;opacity:1}html.theme--documenter-dark pre:hover .copy-button{opacity:1}html.theme--documenter-dark .admonition{background-color:#282f2f;border-style:solid;border-width:1px;border-color:#5e6d6f;border-radius:.4em;font-size:1rem}html.theme--documenter-dark .admonition strong{color:currentColor}html.theme--documenter-dark .admonition.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.admonition{font-size:.75rem}html.theme--documenter-dark .admonition.is-medium{font-size:1.25rem}html.theme--documenter-dark .admonition.is-large{font-size:1.5rem}html.theme--documenter-dark .admonition.is-default{background-color:#282f2f;border-color:#5e6d6f}html.theme--documenter-dark .admonition.is-default>.admonition-header{background-color:#5e6d6f;color:#fff}html.theme--documenter-dark .admonition.is-default>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-info{background-color:#282f2f;border-color:#024c7d}html.theme--documenter-dark .admonition.is-info>.admonition-header{background-color:#024c7d;color:#fff}html.theme--documenter-dark .admonition.is-info>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-success{background-color:#282f2f;border-color:#008438}html.theme--documenter-dark .admonition.is-success>.admonition-header{background-color:#008438;color:#fff}html.theme--documenter-dark .admonition.is-success>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-warning{background-color:#282f2f;border-color:#ad8100}html.theme--documenter-dark .admonition.is-warning>.admonition-header{background-color:#ad8100;color:#fff}html.theme--documenter-dark .admonition.is-warning>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-danger{background-color:#282f2f;border-color:#9e1b0d}html.theme--documenter-dark .admonition.is-danger>.admonition-header{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .admonition.is-danger>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-compat{background-color:#282f2f;border-color:#137886}html.theme--documenter-dark .admonition.is-compat>.admonition-header{background-color:#137886;color:#fff}html.theme--documenter-dark .admonition.is-compat>.admonition-body{color:#fff}html.theme--documenter-dark .admonition-header{color:#fff;background-color:#5e6d6f;align-items:center;font-weight:700;justify-content:space-between;line-height:1.25;padding:0.5rem .75rem;position:relative}html.theme--documenter-dark .admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;margin-right:.75rem;content:"\f06a"}html.theme--documenter-dark details.admonition.is-details>.admonition-header{list-style:none}html.theme--documenter-dark details.admonition.is-details>.admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f055"}html.theme--documenter-dark details.admonition.is-details[open]>.admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f056"}html.theme--documenter-dark .admonition-body{color:#fff;padding:0.5rem .75rem}html.theme--documenter-dark .admonition-body pre{background-color:#282f2f}html.theme--documenter-dark .admonition-body code{background-color:rgba(255,255,255,0.05)}html.theme--documenter-dark .docstring{margin-bottom:1em;background-color:rgba(0,0,0,0);border:1px solid #5e6d6f;box-shadow:none;max-width:100%}html.theme--documenter-dark .docstring>header{cursor:pointer;display:flex;flex-grow:1;align-items:stretch;padding:0.5rem .75rem;background-color:#282f2f;box-shadow:0 0.125em 0.25em rgba(10,10,10,0.1);box-shadow:none;border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .docstring>header code{background-color:transparent}html.theme--documenter-dark .docstring>header .docstring-article-toggle-button{min-width:1.1rem;padding:0.2rem 0.2rem 0.2rem 0}html.theme--documenter-dark .docstring>header .docstring-binding{margin-right:0.3em}html.theme--documenter-dark .docstring>header .docstring-category{margin-left:0.3em}html.theme--documenter-dark .docstring>section{position:relative;padding:.75rem .75rem;border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .docstring>section:last-child{border-bottom:none}html.theme--documenter-dark .docstring>section>a.docs-sourcelink{transition:opacity 0.3s;opacity:0;position:absolute;right:.375rem;bottom:.375rem}html.theme--documenter-dark .docstring>section>a.docs-sourcelink:focus{opacity:1 !important}html.theme--documenter-dark .docstring:hover>section>a.docs-sourcelink{opacity:0.2}html.theme--documenter-dark .docstring:focus-within>section>a.docs-sourcelink{opacity:0.2}html.theme--documenter-dark .docstring>section:hover a.docs-sourcelink{opacity:1}html.theme--documenter-dark .documenter-example-output{background-color:#1f2424}html.theme--documenter-dark .outdated-warning-overlay{position:fixed;top:0;left:0;right:0;box-shadow:0 0 10px rgba(0,0,0,0.3);z-index:999;background-color:#282f2f;color:#fff;border-bottom:3px solid #9e1b0d;padding:10px 35px;text-align:center;font-size:15px}html.theme--documenter-dark .outdated-warning-overlay .outdated-warning-closer{position:absolute;top:calc(50% - 10px);right:18px;cursor:pointer;width:12px}html.theme--documenter-dark .outdated-warning-overlay a{color:#1abc9c}html.theme--documenter-dark .outdated-warning-overlay a:hover{color:#1dd2af}html.theme--documenter-dark .content pre{border:1px solid #5e6d6f}html.theme--documenter-dark .content code{font-weight:inherit}html.theme--documenter-dark .content a code{color:#1abc9c}html.theme--documenter-dark .content h1 code,html.theme--documenter-dark .content h2 code,html.theme--documenter-dark .content h3 code,html.theme--documenter-dark .content h4 code,html.theme--documenter-dark .content h5 code,html.theme--documenter-dark .content h6 code{color:#f2f2f2}html.theme--documenter-dark .content table{display:block;width:initial;max-width:100%;overflow-x:auto}html.theme--documenter-dark .content blockquote>ul:first-child,html.theme--documenter-dark .content blockquote>ol:first-child,html.theme--documenter-dark .content .admonition-body>ul:first-child,html.theme--documenter-dark .content .admonition-body>ol:first-child{margin-top:0}html.theme--documenter-dark pre,html.theme--documenter-dark code{font-variant-ligatures:no-contextual}html.theme--documenter-dark .breadcrumb a.is-disabled{cursor:default;pointer-events:none}html.theme--documenter-dark .breadcrumb a.is-disabled,html.theme--documenter-dark .breadcrumb a.is-disabled:hover{color:#f2f2f2}html.theme--documenter-dark .hljs{background:initial !important}html.theme--documenter-dark .katex .katex-mathml{top:0;right:0}html.theme--documenter-dark .katex-display,html.theme--documenter-dark mjx-container,html.theme--documenter-dark .MathJax_Display{margin:0.5em 0 !important}html.theme--documenter-dark html{-moz-osx-font-smoothing:auto;-webkit-font-smoothing:auto}html.theme--documenter-dark li.no-marker{list-style:none}html.theme--documenter-dark #documenter .docs-main>article{overflow-wrap:break-word}html.theme--documenter-dark #documenter .docs-main>article .math-container{overflow-x:auto;overflow-y:hidden}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-main{max-width:52rem;margin-left:20rem;padding-right:1rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main{width:100%}html.theme--documenter-dark #documenter .docs-main>article{max-width:52rem;margin-left:auto;margin-right:auto;margin-bottom:1rem;padding:0 1rem}html.theme--documenter-dark #documenter .docs-main>header,html.theme--documenter-dark #documenter .docs-main>nav{max-width:100%;width:100%;margin:0}}html.theme--documenter-dark #documenter .docs-main header.docs-navbar{background-color:#1f2424;border-bottom:1px solid #5e6d6f;z-index:2;min-height:4rem;margin-bottom:1rem;display:flex}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .breadcrumb{flex-grow:1}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-sidebar-button{display:block;font-size:1.5rem;padding-bottom:0.1rem;margin-right:1rem}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right{display:flex;white-space:nowrap;gap:1rem;align-items:center}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-icon,html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-label{display:inline-block}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-label{padding:0;margin-left:0.3em}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-navbar-link{margin-left:0.4rem;margin-right:0.4rem}}html.theme--documenter-dark #documenter .docs-main header.docs-navbar>*{margin:auto 0}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main header.docs-navbar{position:sticky;top:0;padding:0 1rem;transition-property:top, box-shadow;-webkit-transition-property:top, box-shadow;transition-duration:0.3s;-webkit-transition-duration:0.3s}html.theme--documenter-dark #documenter .docs-main header.docs-navbar.headroom--not-top{box-shadow:.2rem 0rem .4rem #171717;transition-duration:0.7s;-webkit-transition-duration:0.7s}html.theme--documenter-dark #documenter .docs-main header.docs-navbar.headroom--unpinned.headroom--not-top.headroom--not-bottom{top:-4.5rem;transition-duration:0.7s;-webkit-transition-duration:0.7s}}html.theme--documenter-dark #documenter .docs-main section.footnotes{border-top:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-main section.footnotes li .tag:first-child,html.theme--documenter-dark #documenter .docs-main section.footnotes li .docstring>section>a.docs-sourcelink:first-child,html.theme--documenter-dark #documenter .docs-main section.footnotes li .content kbd:first-child,html.theme--documenter-dark .content #documenter .docs-main section.footnotes li kbd:first-child{margin-right:1em;margin-bottom:0.4em}html.theme--documenter-dark #documenter .docs-main .docs-footer{display:flex;flex-wrap:wrap;margin-left:0;margin-right:0;border-top:1px solid #5e6d6f;padding-top:1rem;padding-bottom:1rem}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main .docs-footer{padding-left:1rem;padding-right:1rem}}html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-nextpage,html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-prevpage{flex-grow:1}html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-nextpage{text-align:right}html.theme--documenter-dark #documenter .docs-main .docs-footer .flexbox-break{flex-basis:100%;height:0}html.theme--documenter-dark #documenter .docs-main .docs-footer .footer-message{font-size:0.8em;margin:0.5em auto 0 auto;text-align:center}html.theme--documenter-dark #documenter .docs-sidebar{display:flex;flex-direction:column;color:#fff;background-color:#282f2f;border-right:1px solid #5e6d6f;padding:0;flex:0 0 18rem;z-index:5;font-size:1rem;position:fixed;left:-18rem;width:18rem;height:100%;transition:left 0.3s}html.theme--documenter-dark #documenter .docs-sidebar.visible{left:0;box-shadow:.4rem 0rem .8rem #171717}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar.visible{box-shadow:none}}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar{left:0;top:0}}html.theme--documenter-dark #documenter .docs-sidebar .docs-logo{margin-top:1rem;padding:0 1rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img{max-height:6rem;margin:auto}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name{flex-shrink:0;font-size:1.5rem;font-weight:700;text-align:center;white-space:nowrap;overflow:hidden;padding:0.5rem 0}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name .docs-autofit{max-width:16.2rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name a,html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name a:hover{color:#fff}html.theme--documenter-dark #documenter .docs-sidebar .docs-version-selector{border-top:1px solid #5e6d6f;display:none;padding:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-version-selector.visible{display:flex}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu{flex-grow:1;user-select:none;border-top:1px solid #5e6d6f;padding-bottom:1.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li>.tocitem{font-weight:bold}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li li{font-size:.95rem;margin-left:1em;border-left:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input.collapse-toggle{display:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.collapsed{display:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input:checked~ul.collapsed{display:block}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem{display:flex}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-label{flex-grow:2}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-chevron{display:inline-block;font-style:normal;font-variant:normal;text-rendering:auto;line-height:1;font-size:.75rem;margin-left:1rem;margin-top:auto;margin-bottom:auto}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-chevron::before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f054"}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input:checked~label.tocitem .docs-chevron::before{content:"\f078"}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem{display:block;padding:0.5rem 0.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem:hover{color:#fff;background:#282f2f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu a.tocitem:hover,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem:hover{color:#fff;background-color:#32393a}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active{border-top:1px solid #5e6d6f;border-bottom:1px solid #5e6d6f;background-color:#1f2424}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active .tocitem,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active .tocitem:hover{background-color:#1f2424;color:#fff}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active ul.internal .tocitem:hover{background-color:#32393a;color:#fff}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li.is-active:first-child{border-top:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal{margin:0 0.5rem 0.5rem;border-top:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal li{font-size:.85rem;border-left:none;margin-left:0;margin-top:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal .tocitem{width:100%;padding:0}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal .tocitem::before{content:"⚬";margin-right:0.4em}html.theme--documenter-dark #documenter .docs-sidebar form.docs-search{margin:auto;margin-top:0.5rem;margin-bottom:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{width:14.4rem}html.theme--documenter-dark #documenter .docs-sidebar #documenter-search-query{color:#868c98;width:14.4rem;box-shadow:inset 0 1px 2px rgba(10,10,10,0.1)}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu{overflow-y:auto;-webkit-overflow-scroll:touch}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar{width:.3rem;background:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar-thumb{border-radius:5px 0px 0px 5px;background:#3b4445}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar-thumb:hover{background:#4e5a5c}}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-sidebar{overflow-y:auto;-webkit-overflow-scroll:touch}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar{width:.3rem;background:none}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar-thumb{border-radius:5px 0px 0px 5px;background:#3b4445}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar-thumb:hover{background:#4e5a5c}}html.theme--documenter-dark kbd.search-modal-key-hints{border-radius:0.25rem;border:1px solid rgba(245,245,245,0.6);box-shadow:0 2px 0 1px rgba(245,245,245,0.6);cursor:default;font-size:0.9rem;line-height:1.5;min-width:0.75rem;text-align:center;padding:0.1rem 0.3rem;position:relative;top:-1px}html.theme--documenter-dark .search-min-width-50{min-width:50%}html.theme--documenter-dark .search-min-height-100{min-height:100%}html.theme--documenter-dark .search-modal-card-body{max-height:calc(100vh - 15rem)}html.theme--documenter-dark .search-result-link{border-radius:0.7em;transition:all 300ms}html.theme--documenter-dark .search-result-link:hover,html.theme--documenter-dark .search-result-link:focus{background-color:rgba(0,128,128,0.1)}html.theme--documenter-dark .search-result-link .property-search-result-badge,html.theme--documenter-dark .search-result-link .search-filter{transition:all 300ms}html.theme--documenter-dark .property-search-result-badge,html.theme--documenter-dark .search-filter{padding:0.15em 0.5em;font-size:0.8em;font-style:italic;text-transform:none !important;line-height:1.5;color:#f5f5f5;background-color:rgba(51,65,85,0.501961);border-radius:0.6rem}html.theme--documenter-dark .search-result-link:hover .property-search-result-badge,html.theme--documenter-dark .search-result-link:hover .search-filter,html.theme--documenter-dark .search-result-link:focus .property-search-result-badge,html.theme--documenter-dark .search-result-link:focus .search-filter{color:#333;background-color:#f1f5f9}html.theme--documenter-dark .search-filter{color:#333;background-color:#f5f5f5;transition:all 300ms}html.theme--documenter-dark .search-filter:hover,html.theme--documenter-dark .search-filter:focus{color:#333}html.theme--documenter-dark .search-filter-selected{color:#f5f5f5;background-color:rgba(139,0,139,0.5)}html.theme--documenter-dark .search-filter-selected:hover,html.theme--documenter-dark .search-filter-selected:focus{color:#f5f5f5}html.theme--documenter-dark .search-result-highlight{background-color:#ffdd57;color:black}html.theme--documenter-dark .search-divider{border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .search-result-title{width:85%;color:#f5f5f5}html.theme--documenter-dark .search-result-code-title{font-size:0.875rem;font-family:"JuliaMono","SFMono-Regular","Menlo","Consolas","Liberation Mono","DejaVu Sans Mono",monospace}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar{height:10px;width:10px;background-color:transparent}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar-thumb,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar-thumb{background-color:gray;border-radius:1rem}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar-track,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar-track{-webkit-box-shadow:inset 0 0 6px rgba(0,0,0,0.6);background-color:transparent}html.theme--documenter-dark .w-100{width:100%}html.theme--documenter-dark .gap-2{gap:0.5rem}html.theme--documenter-dark .gap-4{gap:1rem}html.theme--documenter-dark .gap-8{gap:2rem}html.theme--documenter-dark{background-color:#1f2424;font-size:16px;min-width:300px;overflow-x:auto;overflow-y:scroll;text-rendering:optimizeLegibility;text-size-adjust:100%}html.theme--documenter-dark .ansi span.sgr1{font-weight:bolder}html.theme--documenter-dark .ansi span.sgr2{font-weight:lighter}html.theme--documenter-dark .ansi span.sgr3{font-style:italic}html.theme--documenter-dark .ansi span.sgr4{text-decoration:underline}html.theme--documenter-dark .ansi span.sgr7{color:#1f2424;background-color:#fff}html.theme--documenter-dark .ansi span.sgr8{color:transparent}html.theme--documenter-dark .ansi span.sgr8 span{color:transparent}html.theme--documenter-dark .ansi span.sgr9{text-decoration:line-through}html.theme--documenter-dark .ansi span.sgr30{color:#242424}html.theme--documenter-dark .ansi span.sgr31{color:#f6705f}html.theme--documenter-dark .ansi span.sgr32{color:#4fb43a}html.theme--documenter-dark .ansi span.sgr33{color:#f4c72f}html.theme--documenter-dark .ansi span.sgr34{color:#7587f0}html.theme--documenter-dark .ansi span.sgr35{color:#bc89d3}html.theme--documenter-dark .ansi span.sgr36{color:#49b6ca}html.theme--documenter-dark .ansi span.sgr37{color:#b3bdbe}html.theme--documenter-dark .ansi span.sgr40{background-color:#242424}html.theme--documenter-dark .ansi span.sgr41{background-color:#f6705f}html.theme--documenter-dark .ansi span.sgr42{background-color:#4fb43a}html.theme--documenter-dark .ansi span.sgr43{background-color:#f4c72f}html.theme--documenter-dark .ansi span.sgr44{background-color:#7587f0}html.theme--documenter-dark .ansi span.sgr45{background-color:#bc89d3}html.theme--documenter-dark .ansi span.sgr46{background-color:#49b6ca}html.theme--documenter-dark .ansi span.sgr47{background-color:#b3bdbe}html.theme--documenter-dark .ansi span.sgr90{color:#92a0a2}html.theme--documenter-dark .ansi span.sgr91{color:#ff8674}html.theme--documenter-dark .ansi span.sgr92{color:#79d462}html.theme--documenter-dark .ansi span.sgr93{color:#ffe76b}html.theme--documenter-dark .ansi span.sgr94{color:#8a98ff}html.theme--documenter-dark .ansi span.sgr95{color:#d2a4e6}html.theme--documenter-dark .ansi span.sgr96{color:#6bc8db}html.theme--documenter-dark .ansi span.sgr97{color:#ecf0f1}html.theme--documenter-dark .ansi span.sgr100{background-color:#92a0a2}html.theme--documenter-dark .ansi span.sgr101{background-color:#ff8674}html.theme--documenter-dark .ansi span.sgr102{background-color:#79d462}html.theme--documenter-dark .ansi span.sgr103{background-color:#ffe76b}html.theme--documenter-dark .ansi span.sgr104{background-color:#8a98ff}html.theme--documenter-dark .ansi span.sgr105{background-color:#d2a4e6}html.theme--documenter-dark .ansi span.sgr106{background-color:#6bc8db}html.theme--documenter-dark .ansi span.sgr107{background-color:#ecf0f1}html.theme--documenter-dark code.language-julia-repl>span.hljs-meta{color:#4fb43a;font-weight:bolder}html.theme--documenter-dark .hljs{background:#2b2b2b;color:#f8f8f2}html.theme--documenter-dark .hljs-comment,html.theme--documenter-dark .hljs-quote{color:#d4d0ab}html.theme--documenter-dark .hljs-variable,html.theme--documenter-dark .hljs-template-variable,html.theme--documenter-dark .hljs-tag,html.theme--documenter-dark .hljs-name,html.theme--documenter-dark .hljs-selector-id,html.theme--documenter-dark .hljs-selector-class,html.theme--documenter-dark .hljs-regexp,html.theme--documenter-dark .hljs-deletion{color:#ffa07a}html.theme--documenter-dark .hljs-number,html.theme--documenter-dark .hljs-built_in,html.theme--documenter-dark .hljs-literal,html.theme--documenter-dark .hljs-type,html.theme--documenter-dark .hljs-params,html.theme--documenter-dark .hljs-meta,html.theme--documenter-dark .hljs-link{color:#f5ab35}html.theme--documenter-dark .hljs-attribute{color:#ffd700}html.theme--documenter-dark .hljs-string,html.theme--documenter-dark .hljs-symbol,html.theme--documenter-dark .hljs-bullet,html.theme--documenter-dark .hljs-addition{color:#abe338}html.theme--documenter-dark .hljs-title,html.theme--documenter-dark .hljs-section{color:#00e0e0}html.theme--documenter-dark .hljs-keyword,html.theme--documenter-dark .hljs-selector-tag{color:#dcc6e0}html.theme--documenter-dark .hljs-emphasis{font-style:italic}html.theme--documenter-dark .hljs-strong{font-weight:bold}@media screen and (-ms-high-contrast: active){html.theme--documenter-dark .hljs-addition,html.theme--documenter-dark .hljs-attribute,html.theme--documenter-dark .hljs-built_in,html.theme--documenter-dark .hljs-bullet,html.theme--documenter-dark .hljs-comment,html.theme--documenter-dark .hljs-link,html.theme--documenter-dark .hljs-literal,html.theme--documenter-dark .hljs-meta,html.theme--documenter-dark .hljs-number,html.theme--documenter-dark .hljs-params,html.theme--documenter-dark .hljs-string,html.theme--documenter-dark .hljs-symbol,html.theme--documenter-dark .hljs-type,html.theme--documenter-dark .hljs-quote{color:highlight}html.theme--documenter-dark .hljs-keyword,html.theme--documenter-dark .hljs-selector-tag{font-weight:bold}}html.theme--documenter-dark .hljs-subst{color:#f8f8f2}
+*/}html.theme--documenter-dark html{background-color:#1f2424;font-size:16px;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;min-width:300px;overflow-x:auto;overflow-y:scroll;text-rendering:optimizeLegibility;text-size-adjust:100%}html.theme--documenter-dark article,html.theme--documenter-dark aside,html.theme--documenter-dark figure,html.theme--documenter-dark footer,html.theme--documenter-dark header,html.theme--documenter-dark hgroup,html.theme--documenter-dark section{display:block}html.theme--documenter-dark body,html.theme--documenter-dark button,html.theme--documenter-dark input,html.theme--documenter-dark optgroup,html.theme--documenter-dark select,html.theme--documenter-dark textarea{font-family:"Lato Medium",-apple-system,BlinkMacSystemFont,"Segoe UI","Helvetica Neue","Helvetica","Arial",sans-serif}html.theme--documenter-dark code,html.theme--documenter-dark pre{-moz-osx-font-smoothing:auto;-webkit-font-smoothing:auto;font-family:"JuliaMono","SFMono-Regular","Menlo","Consolas","Liberation Mono","DejaVu Sans Mono",monospace}html.theme--documenter-dark body{color:#fff;font-size:1em;font-weight:400;line-height:1.5}html.theme--documenter-dark a{color:#1abc9c;cursor:pointer;text-decoration:none}html.theme--documenter-dark a strong{color:currentColor}html.theme--documenter-dark a:hover{color:#1dd2af}html.theme--documenter-dark code{background-color:rgba(255,255,255,0.05);color:#ececec;font-size:.875em;font-weight:normal;padding:.1em}html.theme--documenter-dark hr{background-color:#282f2f;border:none;display:block;height:2px;margin:1.5rem 0}html.theme--documenter-dark img{height:auto;max-width:100%}html.theme--documenter-dark input[type="checkbox"],html.theme--documenter-dark input[type="radio"]{vertical-align:baseline}html.theme--documenter-dark small{font-size:.875em}html.theme--documenter-dark span{font-style:inherit;font-weight:inherit}html.theme--documenter-dark strong{color:#f2f2f2;font-weight:700}html.theme--documenter-dark fieldset{border:none}html.theme--documenter-dark pre{-webkit-overflow-scrolling:touch;background-color:#282f2f;color:#fff;font-size:.875em;overflow-x:auto;padding:1.25rem 1.5rem;white-space:pre;word-wrap:normal}html.theme--documenter-dark pre code{background-color:transparent;color:currentColor;font-size:1em;padding:0}html.theme--documenter-dark table td,html.theme--documenter-dark table th{vertical-align:top}html.theme--documenter-dark table td:not([align]),html.theme--documenter-dark table th:not([align]){text-align:inherit}html.theme--documenter-dark table th{color:#f2f2f2}html.theme--documenter-dark .box{background-color:#343c3d;border-radius:8px;box-shadow:none;color:#fff;display:block;padding:1.25rem}html.theme--documenter-dark a.box:hover,html.theme--documenter-dark a.box:focus{box-shadow:0 0.5em 1em -0.125em rgba(10,10,10,0.1),0 0 0 1px #1abc9c}html.theme--documenter-dark a.box:active{box-shadow:inset 0 1px 2px rgba(10,10,10,0.2),0 0 0 1px #1abc9c}html.theme--documenter-dark .button{background-color:#282f2f;border-color:#4c5759;border-width:1px;color:#375a7f;cursor:pointer;justify-content:center;padding-bottom:calc(0.5em - 1px);padding-left:1em;padding-right:1em;padding-top:calc(0.5em - 1px);text-align:center;white-space:nowrap}html.theme--documenter-dark .button strong{color:inherit}html.theme--documenter-dark .button .icon,html.theme--documenter-dark .button .icon.is-small,html.theme--documenter-dark .button #documenter .docs-sidebar form.docs-search>input.icon,html.theme--documenter-dark #documenter .docs-sidebar .button form.docs-search>input.icon,html.theme--documenter-dark .button .icon.is-medium,html.theme--documenter-dark .button .icon.is-large{height:1.5em;width:1.5em}html.theme--documenter-dark .button .icon:first-child:not(:last-child){margin-left:calc(-0.5em - 1px);margin-right:.25em}html.theme--documenter-dark .button .icon:last-child:not(:first-child){margin-left:.25em;margin-right:calc(-0.5em - 1px)}html.theme--documenter-dark .button .icon:first-child:last-child{margin-left:calc(-0.5em - 1px);margin-right:calc(-0.5em - 1px)}html.theme--documenter-dark .button:hover,html.theme--documenter-dark .button.is-hovered{border-color:#8c9b9d;color:#f2f2f2}html.theme--documenter-dark .button:focus,html.theme--documenter-dark .button.is-focused{border-color:#8c9b9d;color:#17a689}html.theme--documenter-dark .button:focus:not(:active),html.theme--documenter-dark .button.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .button:active,html.theme--documenter-dark .button.is-active{border-color:#343c3d;color:#f2f2f2}html.theme--documenter-dark .button.is-text{background-color:transparent;border-color:transparent;color:#fff;text-decoration:underline}html.theme--documenter-dark .button.is-text:hover,html.theme--documenter-dark .button.is-text.is-hovered,html.theme--documenter-dark .button.is-text:focus,html.theme--documenter-dark .button.is-text.is-focused{background-color:#282f2f;color:#f2f2f2}html.theme--documenter-dark .button.is-text:active,html.theme--documenter-dark .button.is-text.is-active{background-color:#1d2122;color:#f2f2f2}html.theme--documenter-dark .button.is-text[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-text{background-color:transparent;border-color:transparent;box-shadow:none}html.theme--documenter-dark .button.is-ghost{background:none;border-color:rgba(0,0,0,0);color:#1abc9c;text-decoration:none}html.theme--documenter-dark .button.is-ghost:hover,html.theme--documenter-dark .button.is-ghost.is-hovered{color:#1abc9c;text-decoration:underline}html.theme--documenter-dark .button.is-white{background-color:#fff;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:hover,html.theme--documenter-dark .button.is-white.is-hovered{background-color:#f9f9f9;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:focus,html.theme--documenter-dark .button.is-white.is-focused{border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white:focus:not(:active),html.theme--documenter-dark .button.is-white.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .button.is-white:active,html.theme--documenter-dark .button.is-white.is-active{background-color:#f2f2f2;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .button.is-white[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white{background-color:#fff;border-color:#fff;box-shadow:none}html.theme--documenter-dark .button.is-white.is-inverted{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted:hover,html.theme--documenter-dark .button.is-white.is-inverted.is-hovered{background-color:#000}html.theme--documenter-dark .button.is-white.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-inverted{background-color:#0a0a0a;border-color:transparent;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-white.is-loading::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-white.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-white.is-outlined:hover,html.theme--documenter-dark .button.is-white.is-outlined.is-hovered,html.theme--documenter-dark .button.is-white.is-outlined:focus,html.theme--documenter-dark .button.is-white.is-outlined.is-focused{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-white.is-outlined.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-white.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-white.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-white.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined{background-color:transparent;border-color:#0a0a0a;color:#0a0a0a}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-focused{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-white.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-white.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-white.is-inverted.is-outlined{background-color:transparent;border-color:#0a0a0a;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black{background-color:#0a0a0a;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:hover,html.theme--documenter-dark .button.is-black.is-hovered{background-color:#040404;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:focus,html.theme--documenter-dark .button.is-black.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black:focus:not(:active),html.theme--documenter-dark .button.is-black.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .button.is-black:active,html.theme--documenter-dark .button.is-black.is-active{background-color:#000;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-black[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black{background-color:#0a0a0a;border-color:#0a0a0a;box-shadow:none}html.theme--documenter-dark .button.is-black.is-inverted{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted:hover,html.theme--documenter-dark .button.is-black.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-black.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-black.is-outlined{background-color:transparent;border-color:#0a0a0a;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-outlined:hover,html.theme--documenter-dark .button.is-black.is-outlined.is-hovered,html.theme--documenter-dark .button.is-black.is-outlined:focus,html.theme--documenter-dark .button.is-black.is-outlined.is-focused{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .button.is-black.is-outlined.is-loading::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-black.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-black.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-black.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-outlined{background-color:transparent;border-color:#0a0a0a;box-shadow:none;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-focused{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-black.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #0a0a0a #0a0a0a !important}html.theme--documenter-dark .button.is-black.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-black.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-light{background-color:#ecf0f1;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:hover,html.theme--documenter-dark .button.is-light.is-hovered{background-color:#e5eaec;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:focus,html.theme--documenter-dark .button.is-light.is-focused{border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light:focus:not(:active),html.theme--documenter-dark .button.is-light.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .button.is-light:active,html.theme--documenter-dark .button.is-light.is-active{background-color:#dde4e6;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light{background-color:#ecf0f1;border-color:#ecf0f1;box-shadow:none}html.theme--documenter-dark .button.is-light.is-inverted{background-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted:hover,html.theme--documenter-dark .button.is-light.is-inverted.is-hovered{background-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-inverted{background-color:rgba(0,0,0,0.7);border-color:transparent;box-shadow:none;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-loading::after{border-color:transparent transparent rgba(0,0,0,0.7) rgba(0,0,0,0.7) !important}html.theme--documenter-dark .button.is-light.is-outlined{background-color:transparent;border-color:#ecf0f1;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-outlined:hover,html.theme--documenter-dark .button.is-light.is-outlined.is-hovered,html.theme--documenter-dark .button.is-light.is-outlined:focus,html.theme--documenter-dark .button.is-light.is-outlined.is-focused{background-color:#ecf0f1;border-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-outlined.is-loading::after{border-color:transparent transparent #ecf0f1 #ecf0f1 !important}html.theme--documenter-dark .button.is-light.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-light.is-outlined.is-loading.is-focused::after{border-color:transparent transparent rgba(0,0,0,0.7) rgba(0,0,0,0.7) !important}html.theme--documenter-dark .button.is-light.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-outlined{background-color:transparent;border-color:#ecf0f1;box-shadow:none;color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined{background-color:transparent;border-color:rgba(0,0,0,0.7);color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-focused{background-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-light.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #ecf0f1 #ecf0f1 !important}html.theme--documenter-dark .button.is-light.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-light.is-inverted.is-outlined{background-color:transparent;border-color:rgba(0,0,0,0.7);box-shadow:none;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .button.is-dark,html.theme--documenter-dark .content kbd.button{background-color:#282f2f;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:hover,html.theme--documenter-dark .content kbd.button:hover,html.theme--documenter-dark .button.is-dark.is-hovered,html.theme--documenter-dark .content kbd.button.is-hovered{background-color:#232829;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:focus,html.theme--documenter-dark .content kbd.button:focus,html.theme--documenter-dark .button.is-dark.is-focused,html.theme--documenter-dark .content kbd.button.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark:focus:not(:active),html.theme--documenter-dark .content kbd.button:focus:not(:active),html.theme--documenter-dark .button.is-dark.is-focused:not(:active),html.theme--documenter-dark .content kbd.button.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .button.is-dark:active,html.theme--documenter-dark .content kbd.button:active,html.theme--documenter-dark .button.is-dark.is-active,html.theme--documenter-dark .content kbd.button.is-active{background-color:#1d2122;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-dark[disabled],html.theme--documenter-dark .content kbd.button[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark,fieldset[disabled] html.theme--documenter-dark .content kbd.button{background-color:#282f2f;border-color:#282f2f;box-shadow:none}html.theme--documenter-dark .button.is-dark.is-inverted,html.theme--documenter-dark .content kbd.button.is-inverted{background-color:#fff;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted:hover,html.theme--documenter-dark .content kbd.button.is-inverted:hover,html.theme--documenter-dark .button.is-dark.is-inverted.is-hovered,html.theme--documenter-dark .content kbd.button.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-dark.is-inverted[disabled],html.theme--documenter-dark .content kbd.button.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-inverted,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-loading::after,html.theme--documenter-dark .content kbd.button.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-dark.is-outlined,html.theme--documenter-dark .content kbd.button.is-outlined{background-color:transparent;border-color:#282f2f;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-outlined:hover,html.theme--documenter-dark .content kbd.button.is-outlined:hover,html.theme--documenter-dark .button.is-dark.is-outlined.is-hovered,html.theme--documenter-dark .content kbd.button.is-outlined.is-hovered,html.theme--documenter-dark .button.is-dark.is-outlined:focus,html.theme--documenter-dark .content kbd.button.is-outlined:focus,html.theme--documenter-dark .button.is-dark.is-outlined.is-focused,html.theme--documenter-dark .content kbd.button.is-outlined.is-focused{background-color:#282f2f;border-color:#282f2f;color:#fff}html.theme--documenter-dark .button.is-dark.is-outlined.is-loading::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading::after{border-color:transparent transparent #282f2f #282f2f !important}html.theme--documenter-dark .button.is-dark.is-outlined.is-loading:hover::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading:focus::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-dark.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .content kbd.button.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-dark.is-outlined[disabled],html.theme--documenter-dark .content kbd.button.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-outlined,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-outlined{background-color:transparent;border-color:#282f2f;box-shadow:none;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined:hover,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined:focus,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-focused,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-focused{background-color:#fff;color:#282f2f}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #282f2f #282f2f !important}html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined[disabled],html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-dark.is-inverted.is-outlined,fieldset[disabled] html.theme--documenter-dark .content kbd.button.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-primary,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink{background-color:#375a7f;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:hover,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-hovered.docs-sourcelink{background-color:#335476;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:focus,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary:focus:not(:active),html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus:not(:active),html.theme--documenter-dark .button.is-primary.is-focused:not(:active),html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink:not(:active){box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .button.is-primary:active,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary.is-active,html.theme--documenter-dark .docstring>section>a.button.is-active.docs-sourcelink{background-color:#2f4d6d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-primary[disabled],html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink{background-color:#375a7f;border-color:#375a7f;box-shadow:none}html.theme--documenter-dark .button.is-primary.is-inverted,html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink{background-color:#fff;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted:hover,html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-inverted.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-hovered.docs-sourcelink{background-color:#f2f2f2}html.theme--documenter-dark .button.is-primary.is-inverted[disabled],html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-inverted,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-inverted.docs-sourcelink{background-color:#fff;border-color:transparent;box-shadow:none;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-loading::after,html.theme--documenter-dark .docstring>section>a.button.is-loading.docs-sourcelink::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-primary.is-outlined,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink{background-color:transparent;border-color:#375a7f;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-outlined:hover,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-outlined.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-outlined:focus,html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-outlined.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-focused.docs-sourcelink{background-color:#375a7f;border-color:#375a7f;color:#fff}html.theme--documenter-dark .button.is-primary.is-outlined.is-loading::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink::after{border-color:transparent transparent #375a7f #375a7f !important}html.theme--documenter-dark .button.is-primary.is-outlined.is-loading:hover::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink:hover::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.is-hovered.docs-sourcelink::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading:focus::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.docs-sourcelink:focus::after,html.theme--documenter-dark .button.is-primary.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .docstring>section>a.button.is-outlined.is-loading.is-focused.docs-sourcelink::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-primary.is-outlined[disabled],html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-outlined,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-outlined.docs-sourcelink{background-color:transparent;border-color:#375a7f;box-shadow:none;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined:hover,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined:focus,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink:focus,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-focused.docs-sourcelink{background-color:#fff;color:#375a7f}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.docs-sourcelink:hover::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.is-hovered.docs-sourcelink::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.docs-sourcelink:focus::after,html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined.is-loading.is-focused::after,html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.is-loading.is-focused.docs-sourcelink::after{border-color:transparent transparent #375a7f #375a7f !important}html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined[disabled],html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-primary.is-inverted.is-outlined,fieldset[disabled] html.theme--documenter-dark .docstring>section>a.button.is-inverted.is-outlined.docs-sourcelink{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-primary.is-light,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink{background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .button.is-primary.is-light:hover,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink:hover,html.theme--documenter-dark .button.is-primary.is-light.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-light.is-hovered.docs-sourcelink{background-color:#e8eef5;border-color:transparent;color:#4d7eb2}html.theme--documenter-dark .button.is-primary.is-light:active,html.theme--documenter-dark .docstring>section>a.button.is-light.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary.is-light.is-active,html.theme--documenter-dark .docstring>section>a.button.is-light.is-active.docs-sourcelink{background-color:#dfe8f1;border-color:transparent;color:#4d7eb2}html.theme--documenter-dark .button.is-link{background-color:#1abc9c;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:hover,html.theme--documenter-dark .button.is-link.is-hovered{background-color:#18b193;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:focus,html.theme--documenter-dark .button.is-link.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link:focus:not(:active),html.theme--documenter-dark .button.is-link.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .button.is-link:active,html.theme--documenter-dark .button.is-link.is-active{background-color:#17a689;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-link[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link{background-color:#1abc9c;border-color:#1abc9c;box-shadow:none}html.theme--documenter-dark .button.is-link.is-inverted{background-color:#fff;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted:hover,html.theme--documenter-dark .button.is-link.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-link.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-link.is-outlined{background-color:transparent;border-color:#1abc9c;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-outlined:hover,html.theme--documenter-dark .button.is-link.is-outlined.is-hovered,html.theme--documenter-dark .button.is-link.is-outlined:focus,html.theme--documenter-dark .button.is-link.is-outlined.is-focused{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .button.is-link.is-outlined.is-loading::after{border-color:transparent transparent #1abc9c #1abc9c !important}html.theme--documenter-dark .button.is-link.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-link.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-link.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-outlined{background-color:transparent;border-color:#1abc9c;box-shadow:none;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-focused{background-color:#fff;color:#1abc9c}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-link.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #1abc9c #1abc9c !important}html.theme--documenter-dark .button.is-link.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-link.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-link.is-light{background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .button.is-link.is-light:hover,html.theme--documenter-dark .button.is-link.is-light.is-hovered{background-color:#e2fbf6;border-color:transparent;color:#15987e}html.theme--documenter-dark .button.is-link.is-light:active,html.theme--documenter-dark .button.is-link.is-light.is-active{background-color:#d7f9f3;border-color:transparent;color:#15987e}html.theme--documenter-dark .button.is-info{background-color:#024c7d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:hover,html.theme--documenter-dark .button.is-info.is-hovered{background-color:#024470;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:focus,html.theme--documenter-dark .button.is-info.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info:focus:not(:active),html.theme--documenter-dark .button.is-info.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .button.is-info:active,html.theme--documenter-dark .button.is-info.is-active{background-color:#023d64;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-info[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info{background-color:#024c7d;border-color:#024c7d;box-shadow:none}html.theme--documenter-dark .button.is-info.is-inverted{background-color:#fff;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted:hover,html.theme--documenter-dark .button.is-info.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-info.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#024c7d}html.theme--documenter-dark .button.is-info.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-info.is-outlined{background-color:transparent;border-color:#024c7d;color:#024c7d}html.theme--documenter-dark .button.is-info.is-outlined:hover,html.theme--documenter-dark .button.is-info.is-outlined.is-hovered,html.theme--documenter-dark .button.is-info.is-outlined:focus,html.theme--documenter-dark .button.is-info.is-outlined.is-focused{background-color:#024c7d;border-color:#024c7d;color:#fff}html.theme--documenter-dark .button.is-info.is-outlined.is-loading::after{border-color:transparent transparent #024c7d #024c7d !important}html.theme--documenter-dark .button.is-info.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-info.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-info.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-outlined{background-color:transparent;border-color:#024c7d;box-shadow:none;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-focused{background-color:#fff;color:#024c7d}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-info.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #024c7d #024c7d !important}html.theme--documenter-dark .button.is-info.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-info.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-info.is-light{background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .button.is-info.is-light:hover,html.theme--documenter-dark .button.is-info.is-light.is-hovered{background-color:#def2fe;border-color:transparent;color:#0e9dfb}html.theme--documenter-dark .button.is-info.is-light:active,html.theme--documenter-dark .button.is-info.is-light.is-active{background-color:#d2edfe;border-color:transparent;color:#0e9dfb}html.theme--documenter-dark .button.is-success{background-color:#008438;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:hover,html.theme--documenter-dark .button.is-success.is-hovered{background-color:#073;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:focus,html.theme--documenter-dark .button.is-success.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success:focus:not(:active),html.theme--documenter-dark .button.is-success.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .button.is-success:active,html.theme--documenter-dark .button.is-success.is-active{background-color:#006b2d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-success[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success{background-color:#008438;border-color:#008438;box-shadow:none}html.theme--documenter-dark .button.is-success.is-inverted{background-color:#fff;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted:hover,html.theme--documenter-dark .button.is-success.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-success.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#008438}html.theme--documenter-dark .button.is-success.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-success.is-outlined{background-color:transparent;border-color:#008438;color:#008438}html.theme--documenter-dark .button.is-success.is-outlined:hover,html.theme--documenter-dark .button.is-success.is-outlined.is-hovered,html.theme--documenter-dark .button.is-success.is-outlined:focus,html.theme--documenter-dark .button.is-success.is-outlined.is-focused{background-color:#008438;border-color:#008438;color:#fff}html.theme--documenter-dark .button.is-success.is-outlined.is-loading::after{border-color:transparent transparent #008438 #008438 !important}html.theme--documenter-dark .button.is-success.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-success.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-success.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-outlined{background-color:transparent;border-color:#008438;box-shadow:none;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-focused{background-color:#fff;color:#008438}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-success.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #008438 #008438 !important}html.theme--documenter-dark .button.is-success.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-success.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-success.is-light{background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .button.is-success.is-light:hover,html.theme--documenter-dark .button.is-success.is-light.is-hovered{background-color:#deffec;border-color:transparent;color:#00eb64}html.theme--documenter-dark .button.is-success.is-light:active,html.theme--documenter-dark .button.is-success.is-light.is-active{background-color:#d1ffe5;border-color:transparent;color:#00eb64}html.theme--documenter-dark .button.is-warning{background-color:#ad8100;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:hover,html.theme--documenter-dark .button.is-warning.is-hovered{background-color:#a07700;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:focus,html.theme--documenter-dark .button.is-warning.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning:focus:not(:active),html.theme--documenter-dark .button.is-warning.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .button.is-warning:active,html.theme--documenter-dark .button.is-warning.is-active{background-color:#946e00;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-warning[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning{background-color:#ad8100;border-color:#ad8100;box-shadow:none}html.theme--documenter-dark .button.is-warning.is-inverted{background-color:#fff;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted:hover,html.theme--documenter-dark .button.is-warning.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-warning.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-warning.is-outlined{background-color:transparent;border-color:#ad8100;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-outlined:hover,html.theme--documenter-dark .button.is-warning.is-outlined.is-hovered,html.theme--documenter-dark .button.is-warning.is-outlined:focus,html.theme--documenter-dark .button.is-warning.is-outlined.is-focused{background-color:#ad8100;border-color:#ad8100;color:#fff}html.theme--documenter-dark .button.is-warning.is-outlined.is-loading::after{border-color:transparent transparent #ad8100 #ad8100 !important}html.theme--documenter-dark .button.is-warning.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-warning.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-warning.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-outlined{background-color:transparent;border-color:#ad8100;box-shadow:none;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-focused{background-color:#fff;color:#ad8100}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #ad8100 #ad8100 !important}html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-warning.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-warning.is-light{background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .button.is-warning.is-light:hover,html.theme--documenter-dark .button.is-warning.is-light.is-hovered{background-color:#fff7de;border-color:transparent;color:#d19c00}html.theme--documenter-dark .button.is-warning.is-light:active,html.theme--documenter-dark .button.is-warning.is-light.is-active{background-color:#fff3d1;border-color:transparent;color:#d19c00}html.theme--documenter-dark .button.is-danger{background-color:#9e1b0d;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:hover,html.theme--documenter-dark .button.is-danger.is-hovered{background-color:#92190c;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:focus,html.theme--documenter-dark .button.is-danger.is-focused{border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger:focus:not(:active),html.theme--documenter-dark .button.is-danger.is-focused:not(:active){box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .button.is-danger:active,html.theme--documenter-dark .button.is-danger.is-active{background-color:#86170b;border-color:transparent;color:#fff}html.theme--documenter-dark .button.is-danger[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger{background-color:#9e1b0d;border-color:#9e1b0d;box-shadow:none}html.theme--documenter-dark .button.is-danger.is-inverted{background-color:#fff;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted:hover,html.theme--documenter-dark .button.is-danger.is-inverted.is-hovered{background-color:#f2f2f2}html.theme--documenter-dark .button.is-danger.is-inverted[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-inverted{background-color:#fff;border-color:transparent;box-shadow:none;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-loading::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-danger.is-outlined{background-color:transparent;border-color:#9e1b0d;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-outlined:hover,html.theme--documenter-dark .button.is-danger.is-outlined.is-hovered,html.theme--documenter-dark .button.is-danger.is-outlined:focus,html.theme--documenter-dark .button.is-danger.is-outlined.is-focused{background-color:#9e1b0d;border-color:#9e1b0d;color:#fff}html.theme--documenter-dark .button.is-danger.is-outlined.is-loading::after{border-color:transparent transparent #9e1b0d #9e1b0d !important}html.theme--documenter-dark .button.is-danger.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-danger.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #fff #fff !important}html.theme--documenter-dark .button.is-danger.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-outlined{background-color:transparent;border-color:#9e1b0d;box-shadow:none;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined{background-color:transparent;border-color:#fff;color:#fff}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined:hover,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-hovered,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined:focus,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-focused{background-color:#fff;color:#9e1b0d}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading:hover::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading.is-hovered::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading:focus::after,html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined.is-loading.is-focused::after{border-color:transparent transparent #9e1b0d #9e1b0d !important}html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined[disabled],fieldset[disabled] html.theme--documenter-dark .button.is-danger.is-inverted.is-outlined{background-color:transparent;border-color:#fff;box-shadow:none;color:#fff}html.theme--documenter-dark .button.is-danger.is-light{background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .button.is-danger.is-light:hover,html.theme--documenter-dark .button.is-danger.is-light.is-hovered{background-color:#fce3e0;border-color:transparent;color:#ec311d}html.theme--documenter-dark .button.is-danger.is-light:active,html.theme--documenter-dark .button.is-danger.is-light.is-active{background-color:#fcd8d5;border-color:transparent;color:#ec311d}html.theme--documenter-dark .button.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button{font-size:.75rem}html.theme--documenter-dark .button.is-small:not(.is-rounded),html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button:not(.is-rounded){border-radius:3px}html.theme--documenter-dark .button.is-normal{font-size:1rem}html.theme--documenter-dark .button.is-medium{font-size:1.25rem}html.theme--documenter-dark .button.is-large{font-size:1.5rem}html.theme--documenter-dark .button[disabled],fieldset[disabled] html.theme--documenter-dark .button{background-color:#8c9b9d;border-color:#5e6d6f;box-shadow:none;opacity:.5}html.theme--documenter-dark .button.is-fullwidth{display:flex;width:100%}html.theme--documenter-dark .button.is-loading{color:transparent !important;pointer-events:none}html.theme--documenter-dark .button.is-loading::after{position:absolute;left:calc(50% - (1em * 0.5));top:calc(50% - (1em * 0.5));position:absolute !important}html.theme--documenter-dark .button.is-static{background-color:#282f2f;border-color:#5e6d6f;color:#dbdee0;box-shadow:none;pointer-events:none}html.theme--documenter-dark .button.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.button{border-radius:9999px;padding-left:calc(1em + 0.25em);padding-right:calc(1em + 0.25em)}html.theme--documenter-dark .buttons{align-items:center;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .buttons .button{margin-bottom:0.5rem}html.theme--documenter-dark .buttons .button:not(:last-child):not(.is-fullwidth){margin-right:.5rem}html.theme--documenter-dark .buttons:last-child{margin-bottom:-0.5rem}html.theme--documenter-dark .buttons:not(:last-child){margin-bottom:1rem}html.theme--documenter-dark .buttons.are-small .button:not(.is-normal):not(.is-medium):not(.is-large){font-size:.75rem}html.theme--documenter-dark .buttons.are-small .button:not(.is-normal):not(.is-medium):not(.is-large):not(.is-rounded){border-radius:3px}html.theme--documenter-dark .buttons.are-medium .button:not(.is-small):not(.is-normal):not(.is-large){font-size:1.25rem}html.theme--documenter-dark .buttons.are-large .button:not(.is-small):not(.is-normal):not(.is-medium){font-size:1.5rem}html.theme--documenter-dark .buttons.has-addons .button:not(:first-child){border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .buttons.has-addons .button:not(:last-child){border-bottom-right-radius:0;border-top-right-radius:0;margin-right:-1px}html.theme--documenter-dark .buttons.has-addons .button:last-child{margin-right:0}html.theme--documenter-dark .buttons.has-addons .button:hover,html.theme--documenter-dark .buttons.has-addons .button.is-hovered{z-index:2}html.theme--documenter-dark .buttons.has-addons .button:focus,html.theme--documenter-dark .buttons.has-addons .button.is-focused,html.theme--documenter-dark .buttons.has-addons .button:active,html.theme--documenter-dark .buttons.has-addons .button.is-active,html.theme--documenter-dark .buttons.has-addons .button.is-selected{z-index:3}html.theme--documenter-dark .buttons.has-addons .button:focus:hover,html.theme--documenter-dark .buttons.has-addons .button.is-focused:hover,html.theme--documenter-dark .buttons.has-addons .button:active:hover,html.theme--documenter-dark .buttons.has-addons .button.is-active:hover,html.theme--documenter-dark .buttons.has-addons .button.is-selected:hover{z-index:4}html.theme--documenter-dark .buttons.has-addons .button.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .buttons.is-centered{justify-content:center}html.theme--documenter-dark .buttons.is-centered:not(.has-addons) .button:not(.is-fullwidth){margin-left:0.25rem;margin-right:0.25rem}html.theme--documenter-dark .buttons.is-right{justify-content:flex-end}html.theme--documenter-dark .buttons.is-right:not(.has-addons) .button:not(.is-fullwidth){margin-left:0.25rem;margin-right:0.25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .button.is-responsive.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-responsive{font-size:.5625rem}html.theme--documenter-dark .button.is-responsive,html.theme--documenter-dark .button.is-responsive.is-normal{font-size:.65625rem}html.theme--documenter-dark .button.is-responsive.is-medium{font-size:.75rem}html.theme--documenter-dark .button.is-responsive.is-large{font-size:1rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .button.is-responsive.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-responsive{font-size:.65625rem}html.theme--documenter-dark .button.is-responsive,html.theme--documenter-dark .button.is-responsive.is-normal{font-size:.75rem}html.theme--documenter-dark .button.is-responsive.is-medium{font-size:1rem}html.theme--documenter-dark .button.is-responsive.is-large{font-size:1.25rem}}html.theme--documenter-dark .container{flex-grow:1;margin:0 auto;position:relative;width:auto}html.theme--documenter-dark .container.is-fluid{max-width:none !important;padding-left:32px;padding-right:32px;width:100%}@media screen and (min-width: 1056px){html.theme--documenter-dark .container{max-width:992px}}@media screen and (max-width: 1215px){html.theme--documenter-dark .container.is-widescreen:not(.is-max-desktop){max-width:1152px}}@media screen and (max-width: 1407px){html.theme--documenter-dark .container.is-fullhd:not(.is-max-desktop):not(.is-max-widescreen){max-width:1344px}}@media screen and (min-width: 1216px){html.theme--documenter-dark .container:not(.is-max-desktop){max-width:1152px}}@media screen and (min-width: 1408px){html.theme--documenter-dark .container:not(.is-max-desktop):not(.is-max-widescreen){max-width:1344px}}html.theme--documenter-dark .content li+li{margin-top:0.25em}html.theme--documenter-dark .content p:not(:last-child),html.theme--documenter-dark .content dl:not(:last-child),html.theme--documenter-dark .content ol:not(:last-child),html.theme--documenter-dark .content ul:not(:last-child),html.theme--documenter-dark .content blockquote:not(:last-child),html.theme--documenter-dark .content pre:not(:last-child),html.theme--documenter-dark .content table:not(:last-child){margin-bottom:1em}html.theme--documenter-dark .content h1,html.theme--documenter-dark .content h2,html.theme--documenter-dark .content h3,html.theme--documenter-dark .content h4,html.theme--documenter-dark .content h5,html.theme--documenter-dark .content h6{color:#f2f2f2;font-weight:600;line-height:1.125}html.theme--documenter-dark .content h1{font-size:2em;margin-bottom:0.5em}html.theme--documenter-dark .content h1:not(:first-child){margin-top:1em}html.theme--documenter-dark .content h2{font-size:1.75em;margin-bottom:0.5714em}html.theme--documenter-dark .content h2:not(:first-child){margin-top:1.1428em}html.theme--documenter-dark .content h3{font-size:1.5em;margin-bottom:0.6666em}html.theme--documenter-dark .content h3:not(:first-child){margin-top:1.3333em}html.theme--documenter-dark .content h4{font-size:1.25em;margin-bottom:0.8em}html.theme--documenter-dark .content h5{font-size:1.125em;margin-bottom:0.8888em}html.theme--documenter-dark .content h6{font-size:1em;margin-bottom:1em}html.theme--documenter-dark .content blockquote{background-color:#282f2f;border-left:5px solid #5e6d6f;padding:1.25em 1.5em}html.theme--documenter-dark .content ol{list-style-position:outside;margin-left:2em;margin-top:1em}html.theme--documenter-dark .content ol:not([type]){list-style-type:decimal}html.theme--documenter-dark .content ol.is-lower-alpha:not([type]){list-style-type:lower-alpha}html.theme--documenter-dark .content ol.is-lower-roman:not([type]){list-style-type:lower-roman}html.theme--documenter-dark .content ol.is-upper-alpha:not([type]){list-style-type:upper-alpha}html.theme--documenter-dark .content ol.is-upper-roman:not([type]){list-style-type:upper-roman}html.theme--documenter-dark .content ul{list-style:disc outside;margin-left:2em;margin-top:1em}html.theme--documenter-dark .content ul ul{list-style-type:circle;margin-top:0.5em}html.theme--documenter-dark .content ul ul ul{list-style-type:square}html.theme--documenter-dark .content dd{margin-left:2em}html.theme--documenter-dark .content figure{margin-left:2em;margin-right:2em;text-align:center}html.theme--documenter-dark .content figure:not(:first-child){margin-top:2em}html.theme--documenter-dark .content figure:not(:last-child){margin-bottom:2em}html.theme--documenter-dark .content figure img{display:inline-block}html.theme--documenter-dark .content figure figcaption{font-style:italic}html.theme--documenter-dark .content pre{-webkit-overflow-scrolling:touch;overflow-x:auto;padding:0;white-space:pre;word-wrap:normal}html.theme--documenter-dark .content sup,html.theme--documenter-dark .content sub{font-size:75%}html.theme--documenter-dark .content table{width:100%}html.theme--documenter-dark .content table td,html.theme--documenter-dark .content table th{border:1px solid #5e6d6f;border-width:0 0 1px;padding:0.5em 0.75em;vertical-align:top}html.theme--documenter-dark .content table th{color:#f2f2f2}html.theme--documenter-dark .content table th:not([align]){text-align:inherit}html.theme--documenter-dark .content table thead td,html.theme--documenter-dark .content table thead th{border-width:0 0 2px;color:#f2f2f2}html.theme--documenter-dark .content table tfoot td,html.theme--documenter-dark .content table tfoot th{border-width:2px 0 0;color:#f2f2f2}html.theme--documenter-dark .content table tbody tr:last-child td,html.theme--documenter-dark .content table tbody tr:last-child th{border-bottom-width:0}html.theme--documenter-dark .content .tabs li+li{margin-top:0}html.theme--documenter-dark .content.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.content{font-size:.75rem}html.theme--documenter-dark .content.is-normal{font-size:1rem}html.theme--documenter-dark .content.is-medium{font-size:1.25rem}html.theme--documenter-dark .content.is-large{font-size:1.5rem}html.theme--documenter-dark .icon{align-items:center;display:inline-flex;justify-content:center;height:1.5rem;width:1.5rem}html.theme--documenter-dark .icon.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.icon{height:1rem;width:1rem}html.theme--documenter-dark .icon.is-medium{height:2rem;width:2rem}html.theme--documenter-dark .icon.is-large{height:3rem;width:3rem}html.theme--documenter-dark .icon-text{align-items:flex-start;color:inherit;display:inline-flex;flex-wrap:wrap;line-height:1.5rem;vertical-align:top}html.theme--documenter-dark .icon-text .icon{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .icon-text .icon:not(:last-child){margin-right:.25em}html.theme--documenter-dark .icon-text .icon:not(:first-child){margin-left:.25em}html.theme--documenter-dark div.icon-text{display:flex}html.theme--documenter-dark .image,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img{display:block;position:relative}html.theme--documenter-dark .image img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img img{display:block;height:auto;width:100%}html.theme--documenter-dark .image img.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img img.is-rounded{border-radius:9999px}html.theme--documenter-dark .image.is-fullwidth,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-fullwidth{width:100%}html.theme--documenter-dark .image.is-square img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square img,html.theme--documenter-dark .image.is-square .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square .has-ratio,html.theme--documenter-dark .image.is-1by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1 img,html.theme--documenter-dark .image.is-1by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1 .has-ratio,html.theme--documenter-dark .image.is-5by4 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4 img,html.theme--documenter-dark .image.is-5by4 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4 .has-ratio,html.theme--documenter-dark .image.is-4by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3 img,html.theme--documenter-dark .image.is-4by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3 .has-ratio,html.theme--documenter-dark .image.is-3by2 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2 img,html.theme--documenter-dark .image.is-3by2 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2 .has-ratio,html.theme--documenter-dark .image.is-5by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3 img,html.theme--documenter-dark .image.is-5by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3 .has-ratio,html.theme--documenter-dark .image.is-16by9 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9 img,html.theme--documenter-dark .image.is-16by9 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9 .has-ratio,html.theme--documenter-dark .image.is-2by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1 img,html.theme--documenter-dark .image.is-2by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1 .has-ratio,html.theme--documenter-dark .image.is-3by1 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1 img,html.theme--documenter-dark .image.is-3by1 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1 .has-ratio,html.theme--documenter-dark .image.is-4by5 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5 img,html.theme--documenter-dark .image.is-4by5 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5 .has-ratio,html.theme--documenter-dark .image.is-3by4 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4 img,html.theme--documenter-dark .image.is-3by4 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4 .has-ratio,html.theme--documenter-dark .image.is-2by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3 img,html.theme--documenter-dark .image.is-2by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3 .has-ratio,html.theme--documenter-dark .image.is-3by5 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5 img,html.theme--documenter-dark .image.is-3by5 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5 .has-ratio,html.theme--documenter-dark .image.is-9by16 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16 img,html.theme--documenter-dark .image.is-9by16 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16 .has-ratio,html.theme--documenter-dark .image.is-1by2 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2 img,html.theme--documenter-dark .image.is-1by2 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2 .has-ratio,html.theme--documenter-dark .image.is-1by3 img,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3 img,html.theme--documenter-dark .image.is-1by3 .has-ratio,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3 .has-ratio{height:100%;width:100%}html.theme--documenter-dark .image.is-square,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-square,html.theme--documenter-dark .image.is-1by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by1{padding-top:100%}html.theme--documenter-dark .image.is-5by4,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by4{padding-top:80%}html.theme--documenter-dark .image.is-4by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by3{padding-top:75%}html.theme--documenter-dark .image.is-3by2,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by2{padding-top:66.6666%}html.theme--documenter-dark .image.is-5by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-5by3{padding-top:60%}html.theme--documenter-dark .image.is-16by9,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16by9{padding-top:56.25%}html.theme--documenter-dark .image.is-2by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by1{padding-top:50%}html.theme--documenter-dark .image.is-3by1,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by1{padding-top:33.3333%}html.theme--documenter-dark .image.is-4by5,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-4by5{padding-top:125%}html.theme--documenter-dark .image.is-3by4,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by4{padding-top:133.3333%}html.theme--documenter-dark .image.is-2by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-2by3{padding-top:150%}html.theme--documenter-dark .image.is-3by5,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-3by5{padding-top:166.6666%}html.theme--documenter-dark .image.is-9by16,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-9by16{padding-top:177.7777%}html.theme--documenter-dark .image.is-1by2,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by2{padding-top:200%}html.theme--documenter-dark .image.is-1by3,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-1by3{padding-top:300%}html.theme--documenter-dark .image.is-16x16,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-16x16{height:16px;width:16px}html.theme--documenter-dark .image.is-24x24,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-24x24{height:24px;width:24px}html.theme--documenter-dark .image.is-32x32,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-32x32{height:32px;width:32px}html.theme--documenter-dark .image.is-48x48,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-48x48{height:48px;width:48px}html.theme--documenter-dark .image.is-64x64,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-64x64{height:64px;width:64px}html.theme--documenter-dark .image.is-96x96,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-96x96{height:96px;width:96px}html.theme--documenter-dark .image.is-128x128,html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img.is-128x128{height:128px;width:128px}html.theme--documenter-dark .notification{background-color:#282f2f;border-radius:.4em;position:relative;padding:1.25rem 2.5rem 1.25rem 1.5rem}html.theme--documenter-dark .notification a:not(.button):not(.dropdown-item){color:currentColor;text-decoration:underline}html.theme--documenter-dark .notification strong{color:currentColor}html.theme--documenter-dark .notification code,html.theme--documenter-dark .notification pre{background:#fff}html.theme--documenter-dark .notification pre code{background:transparent}html.theme--documenter-dark .notification>.delete{right:.5rem;position:absolute;top:0.5rem}html.theme--documenter-dark .notification .title,html.theme--documenter-dark .notification .subtitle,html.theme--documenter-dark .notification .content{color:currentColor}html.theme--documenter-dark .notification.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .notification.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .notification.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .notification.is-dark,html.theme--documenter-dark .content kbd.notification{background-color:#282f2f;color:#fff}html.theme--documenter-dark .notification.is-primary,html.theme--documenter-dark .docstring>section>a.notification.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .notification.is-primary.is-light,html.theme--documenter-dark .docstring>section>a.notification.is-light.docs-sourcelink{background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .notification.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .notification.is-link.is-light{background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .notification.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .notification.is-info.is-light{background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .notification.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .notification.is-success.is-light{background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .notification.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .notification.is-warning.is-light{background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .notification.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .notification.is-danger.is-light{background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .progress{-moz-appearance:none;-webkit-appearance:none;border:none;border-radius:9999px;display:block;height:1rem;overflow:hidden;padding:0;width:100%}html.theme--documenter-dark .progress::-webkit-progress-bar{background-color:#343c3d}html.theme--documenter-dark .progress::-webkit-progress-value{background-color:#dbdee0}html.theme--documenter-dark .progress::-moz-progress-bar{background-color:#dbdee0}html.theme--documenter-dark .progress::-ms-fill{background-color:#dbdee0;border:none}html.theme--documenter-dark .progress.is-white::-webkit-progress-value{background-color:#fff}html.theme--documenter-dark .progress.is-white::-moz-progress-bar{background-color:#fff}html.theme--documenter-dark .progress.is-white::-ms-fill{background-color:#fff}html.theme--documenter-dark .progress.is-white:indeterminate{background-image:linear-gradient(to right, #fff 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-black::-webkit-progress-value{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black::-moz-progress-bar{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black::-ms-fill{background-color:#0a0a0a}html.theme--documenter-dark .progress.is-black:indeterminate{background-image:linear-gradient(to right, #0a0a0a 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-light::-webkit-progress-value{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light::-moz-progress-bar{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light::-ms-fill{background-color:#ecf0f1}html.theme--documenter-dark .progress.is-light:indeterminate{background-image:linear-gradient(to right, #ecf0f1 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-dark::-webkit-progress-value,html.theme--documenter-dark .content kbd.progress::-webkit-progress-value{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark::-moz-progress-bar,html.theme--documenter-dark .content kbd.progress::-moz-progress-bar{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark::-ms-fill,html.theme--documenter-dark .content kbd.progress::-ms-fill{background-color:#282f2f}html.theme--documenter-dark .progress.is-dark:indeterminate,html.theme--documenter-dark .content kbd.progress:indeterminate{background-image:linear-gradient(to right, #282f2f 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-primary::-webkit-progress-value,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-webkit-progress-value{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary::-moz-progress-bar,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-moz-progress-bar{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary::-ms-fill,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink::-ms-fill{background-color:#375a7f}html.theme--documenter-dark .progress.is-primary:indeterminate,html.theme--documenter-dark .docstring>section>a.progress.docs-sourcelink:indeterminate{background-image:linear-gradient(to right, #375a7f 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-link::-webkit-progress-value{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link::-moz-progress-bar{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link::-ms-fill{background-color:#1abc9c}html.theme--documenter-dark .progress.is-link:indeterminate{background-image:linear-gradient(to right, #1abc9c 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-info::-webkit-progress-value{background-color:#024c7d}html.theme--documenter-dark .progress.is-info::-moz-progress-bar{background-color:#024c7d}html.theme--documenter-dark .progress.is-info::-ms-fill{background-color:#024c7d}html.theme--documenter-dark .progress.is-info:indeterminate{background-image:linear-gradient(to right, #024c7d 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-success::-webkit-progress-value{background-color:#008438}html.theme--documenter-dark .progress.is-success::-moz-progress-bar{background-color:#008438}html.theme--documenter-dark .progress.is-success::-ms-fill{background-color:#008438}html.theme--documenter-dark .progress.is-success:indeterminate{background-image:linear-gradient(to right, #008438 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-warning::-webkit-progress-value{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning::-moz-progress-bar{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning::-ms-fill{background-color:#ad8100}html.theme--documenter-dark .progress.is-warning:indeterminate{background-image:linear-gradient(to right, #ad8100 30%, #343c3d 30%)}html.theme--documenter-dark .progress.is-danger::-webkit-progress-value{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger::-moz-progress-bar{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger::-ms-fill{background-color:#9e1b0d}html.theme--documenter-dark .progress.is-danger:indeterminate{background-image:linear-gradient(to right, #9e1b0d 30%, #343c3d 30%)}html.theme--documenter-dark .progress:indeterminate{animation-duration:1.5s;animation-iteration-count:infinite;animation-name:moveIndeterminate;animation-timing-function:linear;background-color:#343c3d;background-image:linear-gradient(to right, #fff 30%, #343c3d 30%);background-position:top left;background-repeat:no-repeat;background-size:150% 150%}html.theme--documenter-dark .progress:indeterminate::-webkit-progress-bar{background-color:transparent}html.theme--documenter-dark .progress:indeterminate::-moz-progress-bar{background-color:transparent}html.theme--documenter-dark .progress:indeterminate::-ms-fill{animation-name:none}html.theme--documenter-dark .progress.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.progress{height:.75rem}html.theme--documenter-dark .progress.is-medium{height:1.25rem}html.theme--documenter-dark .progress.is-large{height:1.5rem}@keyframes moveIndeterminate{from{background-position:200% 0}to{background-position:-200% 0}}html.theme--documenter-dark .table{background-color:#343c3d;color:#fff}html.theme--documenter-dark .table td,html.theme--documenter-dark .table th{border:1px solid #5e6d6f;border-width:0 0 1px;padding:0.5em 0.75em;vertical-align:top}html.theme--documenter-dark .table td.is-white,html.theme--documenter-dark .table th.is-white{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .table td.is-black,html.theme--documenter-dark .table th.is-black{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .table td.is-light,html.theme--documenter-dark .table th.is-light{background-color:#ecf0f1;border-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .table td.is-dark,html.theme--documenter-dark .table th.is-dark{background-color:#282f2f;border-color:#282f2f;color:#fff}html.theme--documenter-dark .table td.is-primary,html.theme--documenter-dark .table th.is-primary{background-color:#375a7f;border-color:#375a7f;color:#fff}html.theme--documenter-dark .table td.is-link,html.theme--documenter-dark .table th.is-link{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .table td.is-info,html.theme--documenter-dark .table th.is-info{background-color:#024c7d;border-color:#024c7d;color:#fff}html.theme--documenter-dark .table td.is-success,html.theme--documenter-dark .table th.is-success{background-color:#008438;border-color:#008438;color:#fff}html.theme--documenter-dark .table td.is-warning,html.theme--documenter-dark .table th.is-warning{background-color:#ad8100;border-color:#ad8100;color:#fff}html.theme--documenter-dark .table td.is-danger,html.theme--documenter-dark .table th.is-danger{background-color:#9e1b0d;border-color:#9e1b0d;color:#fff}html.theme--documenter-dark .table td.is-narrow,html.theme--documenter-dark .table th.is-narrow{white-space:nowrap;width:1%}html.theme--documenter-dark .table td.is-selected,html.theme--documenter-dark .table th.is-selected{background-color:#375a7f;color:#fff}html.theme--documenter-dark .table td.is-selected a,html.theme--documenter-dark .table td.is-selected strong,html.theme--documenter-dark .table th.is-selected a,html.theme--documenter-dark .table th.is-selected strong{color:currentColor}html.theme--documenter-dark .table td.is-vcentered,html.theme--documenter-dark .table th.is-vcentered{vertical-align:middle}html.theme--documenter-dark .table th{color:#f2f2f2}html.theme--documenter-dark .table th:not([align]){text-align:left}html.theme--documenter-dark .table tr.is-selected{background-color:#375a7f;color:#fff}html.theme--documenter-dark .table tr.is-selected a,html.theme--documenter-dark .table tr.is-selected strong{color:currentColor}html.theme--documenter-dark .table tr.is-selected td,html.theme--documenter-dark .table tr.is-selected th{border-color:#fff;color:currentColor}html.theme--documenter-dark .table thead{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table thead td,html.theme--documenter-dark .table thead th{border-width:0 0 2px;color:#f2f2f2}html.theme--documenter-dark .table tfoot{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table tfoot td,html.theme--documenter-dark .table tfoot th{border-width:2px 0 0;color:#f2f2f2}html.theme--documenter-dark .table tbody{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .table tbody tr:last-child td,html.theme--documenter-dark .table tbody tr:last-child th{border-bottom-width:0}html.theme--documenter-dark .table.is-bordered td,html.theme--documenter-dark .table.is-bordered th{border-width:1px}html.theme--documenter-dark .table.is-bordered tr:last-child td,html.theme--documenter-dark .table.is-bordered tr:last-child th{border-bottom-width:1px}html.theme--documenter-dark .table.is-fullwidth{width:100%}html.theme--documenter-dark .table.is-hoverable tbody tr:not(.is-selected):hover{background-color:#282f2f}html.theme--documenter-dark .table.is-hoverable.is-striped tbody tr:not(.is-selected):hover{background-color:#282f2f}html.theme--documenter-dark .table.is-hoverable.is-striped tbody tr:not(.is-selected):hover:nth-child(even){background-color:#2d3435}html.theme--documenter-dark .table.is-narrow td,html.theme--documenter-dark .table.is-narrow th{padding:0.25em 0.5em}html.theme--documenter-dark .table.is-striped tbody tr:not(.is-selected):nth-child(even){background-color:#282f2f}html.theme--documenter-dark .table-container{-webkit-overflow-scrolling:touch;overflow:auto;overflow-y:hidden;max-width:100%}html.theme--documenter-dark .tags{align-items:center;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .tags .tag,html.theme--documenter-dark .tags .content kbd,html.theme--documenter-dark .content .tags kbd,html.theme--documenter-dark .tags .docstring>section>a.docs-sourcelink{margin-bottom:0.5rem}html.theme--documenter-dark .tags .tag:not(:last-child),html.theme--documenter-dark .tags .content kbd:not(:last-child),html.theme--documenter-dark .content .tags kbd:not(:last-child),html.theme--documenter-dark .tags .docstring>section>a.docs-sourcelink:not(:last-child){margin-right:.5rem}html.theme--documenter-dark .tags:last-child{margin-bottom:-0.5rem}html.theme--documenter-dark .tags:not(:last-child){margin-bottom:1rem}html.theme--documenter-dark .tags.are-medium .tag:not(.is-normal):not(.is-large),html.theme--documenter-dark .tags.are-medium .content kbd:not(.is-normal):not(.is-large),html.theme--documenter-dark .content .tags.are-medium kbd:not(.is-normal):not(.is-large),html.theme--documenter-dark .tags.are-medium .docstring>section>a.docs-sourcelink:not(.is-normal):not(.is-large){font-size:1rem}html.theme--documenter-dark .tags.are-large .tag:not(.is-normal):not(.is-medium),html.theme--documenter-dark .tags.are-large .content kbd:not(.is-normal):not(.is-medium),html.theme--documenter-dark .content .tags.are-large kbd:not(.is-normal):not(.is-medium),html.theme--documenter-dark .tags.are-large .docstring>section>a.docs-sourcelink:not(.is-normal):not(.is-medium){font-size:1.25rem}html.theme--documenter-dark .tags.is-centered{justify-content:center}html.theme--documenter-dark .tags.is-centered .tag,html.theme--documenter-dark .tags.is-centered .content kbd,html.theme--documenter-dark .content .tags.is-centered kbd,html.theme--documenter-dark .tags.is-centered .docstring>section>a.docs-sourcelink{margin-right:0.25rem;margin-left:0.25rem}html.theme--documenter-dark .tags.is-right{justify-content:flex-end}html.theme--documenter-dark .tags.is-right .tag:not(:first-child),html.theme--documenter-dark .tags.is-right .content kbd:not(:first-child),html.theme--documenter-dark .content .tags.is-right kbd:not(:first-child),html.theme--documenter-dark .tags.is-right .docstring>section>a.docs-sourcelink:not(:first-child){margin-left:0.5rem}html.theme--documenter-dark .tags.is-right .tag:not(:last-child),html.theme--documenter-dark .tags.is-right .content kbd:not(:last-child),html.theme--documenter-dark .content .tags.is-right kbd:not(:last-child),html.theme--documenter-dark .tags.is-right .docstring>section>a.docs-sourcelink:not(:last-child){margin-right:0}html.theme--documenter-dark .tags.has-addons .tag,html.theme--documenter-dark .tags.has-addons .content kbd,html.theme--documenter-dark .content .tags.has-addons kbd,html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink{margin-right:0}html.theme--documenter-dark .tags.has-addons .tag:not(:first-child),html.theme--documenter-dark .tags.has-addons .content kbd:not(:first-child),html.theme--documenter-dark .content .tags.has-addons kbd:not(:first-child),html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink:not(:first-child){margin-left:0;border-top-left-radius:0;border-bottom-left-radius:0}html.theme--documenter-dark .tags.has-addons .tag:not(:last-child),html.theme--documenter-dark .tags.has-addons .content kbd:not(:last-child),html.theme--documenter-dark .content .tags.has-addons kbd:not(:last-child),html.theme--documenter-dark .tags.has-addons .docstring>section>a.docs-sourcelink:not(:last-child){border-top-right-radius:0;border-bottom-right-radius:0}html.theme--documenter-dark .tag:not(body),html.theme--documenter-dark .content kbd:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body){align-items:center;background-color:#282f2f;border-radius:.4em;color:#fff;display:inline-flex;font-size:.75rem;height:2em;justify-content:center;line-height:1.5;padding-left:0.75em;padding-right:0.75em;white-space:nowrap}html.theme--documenter-dark .tag:not(body) .delete,html.theme--documenter-dark .content kbd:not(body) .delete,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .delete{margin-left:.25rem;margin-right:-.375rem}html.theme--documenter-dark .tag.is-white:not(body),html.theme--documenter-dark .content kbd.is-white:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-white:not(body){background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .tag.is-black:not(body),html.theme--documenter-dark .content kbd.is-black:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-black:not(body){background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .tag.is-light:not(body),html.theme--documenter-dark .content kbd.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-light:not(body){background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .tag.is-dark:not(body),html.theme--documenter-dark .content kbd:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-dark:not(body),html.theme--documenter-dark .content .docstring>section>kbd:not(body){background-color:#282f2f;color:#fff}html.theme--documenter-dark .tag.is-primary:not(body),html.theme--documenter-dark .content kbd.is-primary:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body){background-color:#375a7f;color:#fff}html.theme--documenter-dark .tag.is-primary.is-light:not(body),html.theme--documenter-dark .content kbd.is-primary.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-light:not(body){background-color:#f1f5f9;color:#4d7eb2}html.theme--documenter-dark .tag.is-link:not(body),html.theme--documenter-dark .content kbd.is-link:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-link:not(body){background-color:#1abc9c;color:#fff}html.theme--documenter-dark .tag.is-link.is-light:not(body),html.theme--documenter-dark .content kbd.is-link.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-link.is-light:not(body){background-color:#edfdf9;color:#15987e}html.theme--documenter-dark .tag.is-info:not(body),html.theme--documenter-dark .content kbd.is-info:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-info:not(body){background-color:#024c7d;color:#fff}html.theme--documenter-dark .tag.is-info.is-light:not(body),html.theme--documenter-dark .content kbd.is-info.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-info.is-light:not(body){background-color:#ebf7ff;color:#0e9dfb}html.theme--documenter-dark .tag.is-success:not(body),html.theme--documenter-dark .content kbd.is-success:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-success:not(body){background-color:#008438;color:#fff}html.theme--documenter-dark .tag.is-success.is-light:not(body),html.theme--documenter-dark .content kbd.is-success.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-success.is-light:not(body){background-color:#ebfff3;color:#00eb64}html.theme--documenter-dark .tag.is-warning:not(body),html.theme--documenter-dark .content kbd.is-warning:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-warning:not(body){background-color:#ad8100;color:#fff}html.theme--documenter-dark .tag.is-warning.is-light:not(body),html.theme--documenter-dark .content kbd.is-warning.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-warning.is-light:not(body){background-color:#fffaeb;color:#d19c00}html.theme--documenter-dark .tag.is-danger:not(body),html.theme--documenter-dark .content kbd.is-danger:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-danger:not(body){background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .tag.is-danger.is-light:not(body),html.theme--documenter-dark .content kbd.is-danger.is-light:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-danger.is-light:not(body){background-color:#fdeeec;color:#ec311d}html.theme--documenter-dark .tag.is-normal:not(body),html.theme--documenter-dark .content kbd.is-normal:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-normal:not(body){font-size:.75rem}html.theme--documenter-dark .tag.is-medium:not(body),html.theme--documenter-dark .content kbd.is-medium:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-medium:not(body){font-size:1rem}html.theme--documenter-dark .tag.is-large:not(body),html.theme--documenter-dark .content kbd.is-large:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-large:not(body){font-size:1.25rem}html.theme--documenter-dark .tag:not(body) .icon:first-child:not(:last-child),html.theme--documenter-dark .content kbd:not(body) .icon:first-child:not(:last-child),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:first-child:not(:last-child){margin-left:-.375em;margin-right:.1875em}html.theme--documenter-dark .tag:not(body) .icon:last-child:not(:first-child),html.theme--documenter-dark .content kbd:not(body) .icon:last-child:not(:first-child),html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:last-child:not(:first-child){margin-left:.1875em;margin-right:-.375em}html.theme--documenter-dark .tag:not(body) .icon:first-child:last-child,html.theme--documenter-dark .content kbd:not(body) .icon:first-child:last-child,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:not(body) .icon:first-child:last-child{margin-left:-.375em;margin-right:-.375em}html.theme--documenter-dark .tag.is-delete:not(body),html.theme--documenter-dark .content kbd.is-delete:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body){margin-left:1px;padding:0;position:relative;width:2em}html.theme--documenter-dark .tag.is-delete:not(body)::before,html.theme--documenter-dark .content kbd.is-delete:not(body)::before,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::before,html.theme--documenter-dark .tag.is-delete:not(body)::after,html.theme--documenter-dark .content kbd.is-delete:not(body)::after,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::after{background-color:currentColor;content:"";display:block;left:50%;position:absolute;top:50%;transform:translateX(-50%) translateY(-50%) rotate(45deg);transform-origin:center center}html.theme--documenter-dark .tag.is-delete:not(body)::before,html.theme--documenter-dark .content kbd.is-delete:not(body)::before,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::before{height:1px;width:50%}html.theme--documenter-dark .tag.is-delete:not(body)::after,html.theme--documenter-dark .content kbd.is-delete:not(body)::after,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body)::after{height:50%;width:1px}html.theme--documenter-dark .tag.is-delete:not(body):hover,html.theme--documenter-dark .content kbd.is-delete:not(body):hover,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):hover,html.theme--documenter-dark .tag.is-delete:not(body):focus,html.theme--documenter-dark .content kbd.is-delete:not(body):focus,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):focus{background-color:#1d2122}html.theme--documenter-dark .tag.is-delete:not(body):active,html.theme--documenter-dark .content kbd.is-delete:not(body):active,html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-delete:not(body):active{background-color:#111414}html.theme--documenter-dark .tag.is-rounded:not(body),html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:not(body),html.theme--documenter-dark .content kbd.is-rounded:not(body),html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input:not(body),html.theme--documenter-dark .docstring>section>a.docs-sourcelink.is-rounded:not(body){border-radius:9999px}html.theme--documenter-dark a.tag:hover,html.theme--documenter-dark .docstring>section>a.docs-sourcelink:hover{text-decoration:underline}html.theme--documenter-dark .title,html.theme--documenter-dark .subtitle{word-break:break-word}html.theme--documenter-dark .title em,html.theme--documenter-dark .title span,html.theme--documenter-dark .subtitle em,html.theme--documenter-dark .subtitle span{font-weight:inherit}html.theme--documenter-dark .title sub,html.theme--documenter-dark .subtitle sub{font-size:.75em}html.theme--documenter-dark .title sup,html.theme--documenter-dark .subtitle sup{font-size:.75em}html.theme--documenter-dark .title .tag,html.theme--documenter-dark .title .content kbd,html.theme--documenter-dark .content .title kbd,html.theme--documenter-dark .title .docstring>section>a.docs-sourcelink,html.theme--documenter-dark .subtitle .tag,html.theme--documenter-dark .subtitle .content kbd,html.theme--documenter-dark .content .subtitle kbd,html.theme--documenter-dark .subtitle .docstring>section>a.docs-sourcelink{vertical-align:middle}html.theme--documenter-dark .title{color:#fff;font-size:2rem;font-weight:500;line-height:1.125}html.theme--documenter-dark .title strong{color:inherit;font-weight:inherit}html.theme--documenter-dark .title:not(.is-spaced)+.subtitle{margin-top:-1.25rem}html.theme--documenter-dark .title.is-1{font-size:3rem}html.theme--documenter-dark .title.is-2{font-size:2.5rem}html.theme--documenter-dark .title.is-3{font-size:2rem}html.theme--documenter-dark .title.is-4{font-size:1.5rem}html.theme--documenter-dark .title.is-5{font-size:1.25rem}html.theme--documenter-dark .title.is-6{font-size:1rem}html.theme--documenter-dark .title.is-7{font-size:.75rem}html.theme--documenter-dark .subtitle{color:#8c9b9d;font-size:1.25rem;font-weight:400;line-height:1.25}html.theme--documenter-dark .subtitle strong{color:#8c9b9d;font-weight:600}html.theme--documenter-dark .subtitle:not(.is-spaced)+.title{margin-top:-1.25rem}html.theme--documenter-dark .subtitle.is-1{font-size:3rem}html.theme--documenter-dark .subtitle.is-2{font-size:2.5rem}html.theme--documenter-dark .subtitle.is-3{font-size:2rem}html.theme--documenter-dark .subtitle.is-4{font-size:1.5rem}html.theme--documenter-dark .subtitle.is-5{font-size:1.25rem}html.theme--documenter-dark .subtitle.is-6{font-size:1rem}html.theme--documenter-dark .subtitle.is-7{font-size:.75rem}html.theme--documenter-dark .heading{display:block;font-size:11px;letter-spacing:1px;margin-bottom:5px;text-transform:uppercase}html.theme--documenter-dark .number{align-items:center;background-color:#282f2f;border-radius:9999px;display:inline-flex;font-size:1.25rem;height:2em;justify-content:center;margin-right:1.5rem;min-width:2.5em;padding:0.25rem 0.5rem;text-align:center;vertical-align:top}html.theme--documenter-dark .select select,html.theme--documenter-dark .textarea,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{background-color:#1f2424;border-color:#5e6d6f;border-radius:.4em;color:#dbdee0}html.theme--documenter-dark .select select::-moz-placeholder,html.theme--documenter-dark .textarea::-moz-placeholder,html.theme--documenter-dark .input::-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-moz-placeholder{color:#868c98}html.theme--documenter-dark .select select::-webkit-input-placeholder,html.theme--documenter-dark .textarea::-webkit-input-placeholder,html.theme--documenter-dark .input::-webkit-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-webkit-input-placeholder{color:#868c98}html.theme--documenter-dark .select select:-moz-placeholder,html.theme--documenter-dark .textarea:-moz-placeholder,html.theme--documenter-dark .input:-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-moz-placeholder{color:#868c98}html.theme--documenter-dark .select select:-ms-input-placeholder,html.theme--documenter-dark .textarea:-ms-input-placeholder,html.theme--documenter-dark .input:-ms-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-ms-input-placeholder{color:#868c98}html.theme--documenter-dark .select select:hover,html.theme--documenter-dark .textarea:hover,html.theme--documenter-dark .input:hover,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:hover,html.theme--documenter-dark .select select.is-hovered,html.theme--documenter-dark .is-hovered.textarea,html.theme--documenter-dark .is-hovered.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-hovered{border-color:#8c9b9d}html.theme--documenter-dark .select select:focus,html.theme--documenter-dark .textarea:focus,html.theme--documenter-dark .input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:focus,html.theme--documenter-dark .select select.is-focused,html.theme--documenter-dark .is-focused.textarea,html.theme--documenter-dark .is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .select select:active,html.theme--documenter-dark .textarea:active,html.theme--documenter-dark .input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:active,html.theme--documenter-dark .select select.is-active,html.theme--documenter-dark .is-active.textarea,html.theme--documenter-dark .is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{border-color:#1abc9c;box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .select select[disabled],html.theme--documenter-dark .textarea[disabled],html.theme--documenter-dark .input[disabled],html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled],fieldset[disabled] html.theme--documenter-dark .select select,fieldset[disabled] html.theme--documenter-dark .textarea,fieldset[disabled] html.theme--documenter-dark .input,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{background-color:#8c9b9d;border-color:#282f2f;box-shadow:none;color:#fff}html.theme--documenter-dark .select select[disabled]::-moz-placeholder,html.theme--documenter-dark .textarea[disabled]::-moz-placeholder,html.theme--documenter-dark .input[disabled]::-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .select select::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .input::-moz-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-moz-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]::-webkit-input-placeholder,html.theme--documenter-dark .textarea[disabled]::-webkit-input-placeholder,html.theme--documenter-dark .input[disabled]::-webkit-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .select select::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark .input::-webkit-input-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input::-webkit-input-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]:-moz-placeholder,html.theme--documenter-dark .textarea[disabled]:-moz-placeholder,html.theme--documenter-dark .input[disabled]:-moz-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .select select:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark .input:-moz-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-moz-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .select select[disabled]:-ms-input-placeholder,html.theme--documenter-dark .textarea[disabled]:-ms-input-placeholder,html.theme--documenter-dark .input[disabled]:-ms-input-placeholder,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[disabled]:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .select select:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .textarea:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark .input:-ms-input-placeholder,fieldset[disabled] html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input:-ms-input-placeholder{color:rgba(255,255,255,0.3)}html.theme--documenter-dark .textarea,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{box-shadow:inset 0 0.0625em 0.125em rgba(10,10,10,0.05);max-width:100%;width:100%}html.theme--documenter-dark .textarea[readonly],html.theme--documenter-dark .input[readonly],html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input[readonly]{box-shadow:none}html.theme--documenter-dark .is-white.textarea,html.theme--documenter-dark .is-white.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white{border-color:#fff}html.theme--documenter-dark .is-white.textarea:focus,html.theme--documenter-dark .is-white.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white:focus,html.theme--documenter-dark .is-white.is-focused.textarea,html.theme--documenter-dark .is-white.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-white.textarea:active,html.theme--documenter-dark .is-white.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-white:active,html.theme--documenter-dark .is-white.is-active.textarea,html.theme--documenter-dark .is-white.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .is-black.textarea,html.theme--documenter-dark .is-black.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black{border-color:#0a0a0a}html.theme--documenter-dark .is-black.textarea:focus,html.theme--documenter-dark .is-black.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black:focus,html.theme--documenter-dark .is-black.is-focused.textarea,html.theme--documenter-dark .is-black.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-black.textarea:active,html.theme--documenter-dark .is-black.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-black:active,html.theme--documenter-dark .is-black.is-active.textarea,html.theme--documenter-dark .is-black.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .is-light.textarea,html.theme--documenter-dark .is-light.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light{border-color:#ecf0f1}html.theme--documenter-dark .is-light.textarea:focus,html.theme--documenter-dark .is-light.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light:focus,html.theme--documenter-dark .is-light.is-focused.textarea,html.theme--documenter-dark .is-light.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-light.textarea:active,html.theme--documenter-dark .is-light.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-light:active,html.theme--documenter-dark .is-light.is-active.textarea,html.theme--documenter-dark .is-light.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .is-dark.textarea,html.theme--documenter-dark .content kbd.textarea,html.theme--documenter-dark .is-dark.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark,html.theme--documenter-dark .content kbd.input{border-color:#282f2f}html.theme--documenter-dark .is-dark.textarea:focus,html.theme--documenter-dark .content kbd.textarea:focus,html.theme--documenter-dark .is-dark.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark:focus,html.theme--documenter-dark .content kbd.input:focus,html.theme--documenter-dark .is-dark.is-focused.textarea,html.theme--documenter-dark .content kbd.is-focused.textarea,html.theme--documenter-dark .is-dark.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .content kbd.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input.is-focused,html.theme--documenter-dark .is-dark.textarea:active,html.theme--documenter-dark .content kbd.textarea:active,html.theme--documenter-dark .is-dark.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-dark:active,html.theme--documenter-dark .content kbd.input:active,html.theme--documenter-dark .is-dark.is-active.textarea,html.theme--documenter-dark .content kbd.is-active.textarea,html.theme--documenter-dark .is-dark.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active,html.theme--documenter-dark .content kbd.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar .content form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .is-primary.textarea,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink{border-color:#375a7f}html.theme--documenter-dark .is-primary.textarea:focus,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink:focus,html.theme--documenter-dark .is-primary.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary:focus,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink:focus,html.theme--documenter-dark .is-primary.is-focused.textarea,html.theme--documenter-dark .docstring>section>a.is-focused.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .docstring>section>a.is-focused.input.docs-sourcelink,html.theme--documenter-dark .is-primary.textarea:active,html.theme--documenter-dark .docstring>section>a.textarea.docs-sourcelink:active,html.theme--documenter-dark .is-primary.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-primary:active,html.theme--documenter-dark .docstring>section>a.input.docs-sourcelink:active,html.theme--documenter-dark .is-primary.is-active.textarea,html.theme--documenter-dark .docstring>section>a.is-active.textarea.docs-sourcelink,html.theme--documenter-dark .is-primary.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active,html.theme--documenter-dark .docstring>section>a.is-active.input.docs-sourcelink{box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .is-link.textarea,html.theme--documenter-dark .is-link.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link{border-color:#1abc9c}html.theme--documenter-dark .is-link.textarea:focus,html.theme--documenter-dark .is-link.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link:focus,html.theme--documenter-dark .is-link.is-focused.textarea,html.theme--documenter-dark .is-link.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-link.textarea:active,html.theme--documenter-dark .is-link.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-link:active,html.theme--documenter-dark .is-link.is-active.textarea,html.theme--documenter-dark .is-link.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .is-info.textarea,html.theme--documenter-dark .is-info.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info{border-color:#024c7d}html.theme--documenter-dark .is-info.textarea:focus,html.theme--documenter-dark .is-info.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info:focus,html.theme--documenter-dark .is-info.is-focused.textarea,html.theme--documenter-dark .is-info.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-info.textarea:active,html.theme--documenter-dark .is-info.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-info:active,html.theme--documenter-dark .is-info.is-active.textarea,html.theme--documenter-dark .is-info.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .is-success.textarea,html.theme--documenter-dark .is-success.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success{border-color:#008438}html.theme--documenter-dark .is-success.textarea:focus,html.theme--documenter-dark .is-success.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success:focus,html.theme--documenter-dark .is-success.is-focused.textarea,html.theme--documenter-dark .is-success.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-success.textarea:active,html.theme--documenter-dark .is-success.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-success:active,html.theme--documenter-dark .is-success.is-active.textarea,html.theme--documenter-dark .is-success.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .is-warning.textarea,html.theme--documenter-dark .is-warning.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning{border-color:#ad8100}html.theme--documenter-dark .is-warning.textarea:focus,html.theme--documenter-dark .is-warning.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning:focus,html.theme--documenter-dark .is-warning.is-focused.textarea,html.theme--documenter-dark .is-warning.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-warning.textarea:active,html.theme--documenter-dark .is-warning.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-warning:active,html.theme--documenter-dark .is-warning.is-active.textarea,html.theme--documenter-dark .is-warning.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .is-danger.textarea,html.theme--documenter-dark .is-danger.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger{border-color:#9e1b0d}html.theme--documenter-dark .is-danger.textarea:focus,html.theme--documenter-dark .is-danger.input:focus,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger:focus,html.theme--documenter-dark .is-danger.is-focused.textarea,html.theme--documenter-dark .is-danger.is-focused.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-focused,html.theme--documenter-dark .is-danger.textarea:active,html.theme--documenter-dark .is-danger.input:active,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-danger:active,html.theme--documenter-dark .is-danger.is-active.textarea,html.theme--documenter-dark .is-danger.is-active.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-active{box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .is-small.textarea,html.theme--documenter-dark .is-small.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{border-radius:3px;font-size:.75rem}html.theme--documenter-dark .is-medium.textarea,html.theme--documenter-dark .is-medium.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-medium{font-size:1.25rem}html.theme--documenter-dark .is-large.textarea,html.theme--documenter-dark .is-large.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-large{font-size:1.5rem}html.theme--documenter-dark .is-fullwidth.textarea,html.theme--documenter-dark .is-fullwidth.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-fullwidth{display:block;width:100%}html.theme--documenter-dark .is-inline.textarea,html.theme--documenter-dark .is-inline.input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-inline{display:inline;width:auto}html.theme--documenter-dark .input.is-rounded,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{border-radius:9999px;padding-left:calc(calc(0.75em - 1px) + 0.375em);padding-right:calc(calc(0.75em - 1px) + 0.375em)}html.theme--documenter-dark .input.is-static,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-static{background-color:transparent;border-color:transparent;box-shadow:none;padding-left:0;padding-right:0}html.theme--documenter-dark .textarea{display:block;max-width:100%;min-width:100%;padding:calc(0.75em - 1px);resize:vertical}html.theme--documenter-dark .textarea:not([rows]){max-height:40em;min-height:8em}html.theme--documenter-dark .textarea[rows]{height:initial}html.theme--documenter-dark .textarea.has-fixed-size{resize:none}html.theme--documenter-dark .radio,html.theme--documenter-dark .checkbox{cursor:pointer;display:inline-block;line-height:1.25;position:relative}html.theme--documenter-dark .radio input,html.theme--documenter-dark .checkbox input{cursor:pointer}html.theme--documenter-dark .radio:hover,html.theme--documenter-dark .checkbox:hover{color:#8c9b9d}html.theme--documenter-dark .radio[disabled],html.theme--documenter-dark .checkbox[disabled],fieldset[disabled] html.theme--documenter-dark .radio,fieldset[disabled] html.theme--documenter-dark .checkbox,html.theme--documenter-dark .radio input[disabled],html.theme--documenter-dark .checkbox input[disabled]{color:#fff;cursor:not-allowed}html.theme--documenter-dark .radio+.radio{margin-left:.5em}html.theme--documenter-dark .select{display:inline-block;max-width:100%;position:relative;vertical-align:top}html.theme--documenter-dark .select:not(.is-multiple){height:2.5em}html.theme--documenter-dark .select:not(.is-multiple):not(.is-loading)::after{border-color:#1abc9c;right:1.125em;z-index:4}html.theme--documenter-dark .select.is-rounded select,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.select select{border-radius:9999px;padding-left:1em}html.theme--documenter-dark .select select{cursor:pointer;display:block;font-size:1em;max-width:100%;outline:none}html.theme--documenter-dark .select select::-ms-expand{display:none}html.theme--documenter-dark .select select[disabled]:hover,fieldset[disabled] html.theme--documenter-dark .select select:hover{border-color:#282f2f}html.theme--documenter-dark .select select:not([multiple]){padding-right:2.5em}html.theme--documenter-dark .select select[multiple]{height:auto;padding:0}html.theme--documenter-dark .select select[multiple] option{padding:0.5em 1em}html.theme--documenter-dark .select:not(.is-multiple):not(.is-loading):hover::after{border-color:#8c9b9d}html.theme--documenter-dark .select.is-white:not(:hover)::after{border-color:#fff}html.theme--documenter-dark .select.is-white select{border-color:#fff}html.theme--documenter-dark .select.is-white select:hover,html.theme--documenter-dark .select.is-white select.is-hovered{border-color:#f2f2f2}html.theme--documenter-dark .select.is-white select:focus,html.theme--documenter-dark .select.is-white select.is-focused,html.theme--documenter-dark .select.is-white select:active,html.theme--documenter-dark .select.is-white select.is-active{box-shadow:0 0 0 0.125em rgba(255,255,255,0.25)}html.theme--documenter-dark .select.is-black:not(:hover)::after{border-color:#0a0a0a}html.theme--documenter-dark .select.is-black select{border-color:#0a0a0a}html.theme--documenter-dark .select.is-black select:hover,html.theme--documenter-dark .select.is-black select.is-hovered{border-color:#000}html.theme--documenter-dark .select.is-black select:focus,html.theme--documenter-dark .select.is-black select.is-focused,html.theme--documenter-dark .select.is-black select:active,html.theme--documenter-dark .select.is-black select.is-active{box-shadow:0 0 0 0.125em rgba(10,10,10,0.25)}html.theme--documenter-dark .select.is-light:not(:hover)::after{border-color:#ecf0f1}html.theme--documenter-dark .select.is-light select{border-color:#ecf0f1}html.theme--documenter-dark .select.is-light select:hover,html.theme--documenter-dark .select.is-light select.is-hovered{border-color:#dde4e6}html.theme--documenter-dark .select.is-light select:focus,html.theme--documenter-dark .select.is-light select.is-focused,html.theme--documenter-dark .select.is-light select:active,html.theme--documenter-dark .select.is-light select.is-active{box-shadow:0 0 0 0.125em rgba(236,240,241,0.25)}html.theme--documenter-dark .select.is-dark:not(:hover)::after,html.theme--documenter-dark .content kbd.select:not(:hover)::after{border-color:#282f2f}html.theme--documenter-dark .select.is-dark select,html.theme--documenter-dark .content kbd.select select{border-color:#282f2f}html.theme--documenter-dark .select.is-dark select:hover,html.theme--documenter-dark .content kbd.select select:hover,html.theme--documenter-dark .select.is-dark select.is-hovered,html.theme--documenter-dark .content kbd.select select.is-hovered{border-color:#1d2122}html.theme--documenter-dark .select.is-dark select:focus,html.theme--documenter-dark .content kbd.select select:focus,html.theme--documenter-dark .select.is-dark select.is-focused,html.theme--documenter-dark .content kbd.select select.is-focused,html.theme--documenter-dark .select.is-dark select:active,html.theme--documenter-dark .content kbd.select select:active,html.theme--documenter-dark .select.is-dark select.is-active,html.theme--documenter-dark .content kbd.select select.is-active{box-shadow:0 0 0 0.125em rgba(40,47,47,0.25)}html.theme--documenter-dark .select.is-primary:not(:hover)::after,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink:not(:hover)::after{border-color:#375a7f}html.theme--documenter-dark .select.is-primary select,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select{border-color:#375a7f}html.theme--documenter-dark .select.is-primary select:hover,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:hover,html.theme--documenter-dark .select.is-primary select.is-hovered,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-hovered{border-color:#2f4d6d}html.theme--documenter-dark .select.is-primary select:focus,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:focus,html.theme--documenter-dark .select.is-primary select.is-focused,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-focused,html.theme--documenter-dark .select.is-primary select:active,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select:active,html.theme--documenter-dark .select.is-primary select.is-active,html.theme--documenter-dark .docstring>section>a.select.docs-sourcelink select.is-active{box-shadow:0 0 0 0.125em rgba(55,90,127,0.25)}html.theme--documenter-dark .select.is-link:not(:hover)::after{border-color:#1abc9c}html.theme--documenter-dark .select.is-link select{border-color:#1abc9c}html.theme--documenter-dark .select.is-link select:hover,html.theme--documenter-dark .select.is-link select.is-hovered{border-color:#17a689}html.theme--documenter-dark .select.is-link select:focus,html.theme--documenter-dark .select.is-link select.is-focused,html.theme--documenter-dark .select.is-link select:active,html.theme--documenter-dark .select.is-link select.is-active{box-shadow:0 0 0 0.125em rgba(26,188,156,0.25)}html.theme--documenter-dark .select.is-info:not(:hover)::after{border-color:#024c7d}html.theme--documenter-dark .select.is-info select{border-color:#024c7d}html.theme--documenter-dark .select.is-info select:hover,html.theme--documenter-dark .select.is-info select.is-hovered{border-color:#023d64}html.theme--documenter-dark .select.is-info select:focus,html.theme--documenter-dark .select.is-info select.is-focused,html.theme--documenter-dark .select.is-info select:active,html.theme--documenter-dark .select.is-info select.is-active{box-shadow:0 0 0 0.125em rgba(2,76,125,0.25)}html.theme--documenter-dark .select.is-success:not(:hover)::after{border-color:#008438}html.theme--documenter-dark .select.is-success select{border-color:#008438}html.theme--documenter-dark .select.is-success select:hover,html.theme--documenter-dark .select.is-success select.is-hovered{border-color:#006b2d}html.theme--documenter-dark .select.is-success select:focus,html.theme--documenter-dark .select.is-success select.is-focused,html.theme--documenter-dark .select.is-success select:active,html.theme--documenter-dark .select.is-success select.is-active{box-shadow:0 0 0 0.125em rgba(0,132,56,0.25)}html.theme--documenter-dark .select.is-warning:not(:hover)::after{border-color:#ad8100}html.theme--documenter-dark .select.is-warning select{border-color:#ad8100}html.theme--documenter-dark .select.is-warning select:hover,html.theme--documenter-dark .select.is-warning select.is-hovered{border-color:#946e00}html.theme--documenter-dark .select.is-warning select:focus,html.theme--documenter-dark .select.is-warning select.is-focused,html.theme--documenter-dark .select.is-warning select:active,html.theme--documenter-dark .select.is-warning select.is-active{box-shadow:0 0 0 0.125em rgba(173,129,0,0.25)}html.theme--documenter-dark .select.is-danger:not(:hover)::after{border-color:#9e1b0d}html.theme--documenter-dark .select.is-danger select{border-color:#9e1b0d}html.theme--documenter-dark .select.is-danger select:hover,html.theme--documenter-dark .select.is-danger select.is-hovered{border-color:#86170b}html.theme--documenter-dark .select.is-danger select:focus,html.theme--documenter-dark .select.is-danger select.is-focused,html.theme--documenter-dark .select.is-danger select:active,html.theme--documenter-dark .select.is-danger select.is-active{box-shadow:0 0 0 0.125em rgba(158,27,13,0.25)}html.theme--documenter-dark .select.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.select{border-radius:3px;font-size:.75rem}html.theme--documenter-dark .select.is-medium{font-size:1.25rem}html.theme--documenter-dark .select.is-large{font-size:1.5rem}html.theme--documenter-dark .select.is-disabled::after{border-color:#fff !important;opacity:0.5}html.theme--documenter-dark .select.is-fullwidth{width:100%}html.theme--documenter-dark .select.is-fullwidth select{width:100%}html.theme--documenter-dark .select.is-loading::after{margin-top:0;position:absolute;right:.625em;top:0.625em;transform:none}html.theme--documenter-dark .select.is-loading.is-small:after,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-loading:after{font-size:.75rem}html.theme--documenter-dark .select.is-loading.is-medium:after{font-size:1.25rem}html.theme--documenter-dark .select.is-loading.is-large:after{font-size:1.5rem}html.theme--documenter-dark .file{align-items:stretch;display:flex;justify-content:flex-start;position:relative}html.theme--documenter-dark .file.is-white .file-cta{background-color:#fff;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-white:hover .file-cta,html.theme--documenter-dark .file.is-white.is-hovered .file-cta{background-color:#f9f9f9;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-white:focus .file-cta,html.theme--documenter-dark .file.is-white.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(255,255,255,0.25);color:#0a0a0a}html.theme--documenter-dark .file.is-white:active .file-cta,html.theme--documenter-dark .file.is-white.is-active .file-cta{background-color:#f2f2f2;border-color:transparent;color:#0a0a0a}html.theme--documenter-dark .file.is-black .file-cta{background-color:#0a0a0a;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-black:hover .file-cta,html.theme--documenter-dark .file.is-black.is-hovered .file-cta{background-color:#040404;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-black:focus .file-cta,html.theme--documenter-dark .file.is-black.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(10,10,10,0.25);color:#fff}html.theme--documenter-dark .file.is-black:active .file-cta,html.theme--documenter-dark .file.is-black.is-active .file-cta{background-color:#000;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-light .file-cta{background-color:#ecf0f1;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:hover .file-cta,html.theme--documenter-dark .file.is-light.is-hovered .file-cta{background-color:#e5eaec;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:focus .file-cta,html.theme--documenter-dark .file.is-light.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(236,240,241,0.25);color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-light:active .file-cta,html.theme--documenter-dark .file.is-light.is-active .file-cta{background-color:#dde4e6;border-color:transparent;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .file.is-dark .file-cta,html.theme--documenter-dark .content kbd.file .file-cta{background-color:#282f2f;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-dark:hover .file-cta,html.theme--documenter-dark .content kbd.file:hover .file-cta,html.theme--documenter-dark .file.is-dark.is-hovered .file-cta,html.theme--documenter-dark .content kbd.file.is-hovered .file-cta{background-color:#232829;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-dark:focus .file-cta,html.theme--documenter-dark .content kbd.file:focus .file-cta,html.theme--documenter-dark .file.is-dark.is-focused .file-cta,html.theme--documenter-dark .content kbd.file.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(40,47,47,0.25);color:#fff}html.theme--documenter-dark .file.is-dark:active .file-cta,html.theme--documenter-dark .content kbd.file:active .file-cta,html.theme--documenter-dark .file.is-dark.is-active .file-cta,html.theme--documenter-dark .content kbd.file.is-active .file-cta{background-color:#1d2122;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink .file-cta{background-color:#375a7f;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary:hover .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:hover .file-cta,html.theme--documenter-dark .file.is-primary.is-hovered .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-hovered.docs-sourcelink .file-cta{background-color:#335476;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-primary:focus .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:focus .file-cta,html.theme--documenter-dark .file.is-primary.is-focused .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-focused.docs-sourcelink .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(55,90,127,0.25);color:#fff}html.theme--documenter-dark .file.is-primary:active .file-cta,html.theme--documenter-dark .docstring>section>a.file.docs-sourcelink:active .file-cta,html.theme--documenter-dark .file.is-primary.is-active .file-cta,html.theme--documenter-dark .docstring>section>a.file.is-active.docs-sourcelink .file-cta{background-color:#2f4d6d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link .file-cta{background-color:#1abc9c;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link:hover .file-cta,html.theme--documenter-dark .file.is-link.is-hovered .file-cta{background-color:#18b193;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-link:focus .file-cta,html.theme--documenter-dark .file.is-link.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(26,188,156,0.25);color:#fff}html.theme--documenter-dark .file.is-link:active .file-cta,html.theme--documenter-dark .file.is-link.is-active .file-cta{background-color:#17a689;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info .file-cta{background-color:#024c7d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info:hover .file-cta,html.theme--documenter-dark .file.is-info.is-hovered .file-cta{background-color:#024470;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-info:focus .file-cta,html.theme--documenter-dark .file.is-info.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(2,76,125,0.25);color:#fff}html.theme--documenter-dark .file.is-info:active .file-cta,html.theme--documenter-dark .file.is-info.is-active .file-cta{background-color:#023d64;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success .file-cta{background-color:#008438;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success:hover .file-cta,html.theme--documenter-dark .file.is-success.is-hovered .file-cta{background-color:#073;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-success:focus .file-cta,html.theme--documenter-dark .file.is-success.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(0,132,56,0.25);color:#fff}html.theme--documenter-dark .file.is-success:active .file-cta,html.theme--documenter-dark .file.is-success.is-active .file-cta{background-color:#006b2d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning .file-cta{background-color:#ad8100;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning:hover .file-cta,html.theme--documenter-dark .file.is-warning.is-hovered .file-cta{background-color:#a07700;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-warning:focus .file-cta,html.theme--documenter-dark .file.is-warning.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(173,129,0,0.25);color:#fff}html.theme--documenter-dark .file.is-warning:active .file-cta,html.theme--documenter-dark .file.is-warning.is-active .file-cta{background-color:#946e00;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger .file-cta{background-color:#9e1b0d;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger:hover .file-cta,html.theme--documenter-dark .file.is-danger.is-hovered .file-cta{background-color:#92190c;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-danger:focus .file-cta,html.theme--documenter-dark .file.is-danger.is-focused .file-cta{border-color:transparent;box-shadow:0 0 0.5em rgba(158,27,13,0.25);color:#fff}html.theme--documenter-dark .file.is-danger:active .file-cta,html.theme--documenter-dark .file.is-danger.is-active .file-cta{background-color:#86170b;border-color:transparent;color:#fff}html.theme--documenter-dark .file.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.file{font-size:.75rem}html.theme--documenter-dark .file.is-normal{font-size:1rem}html.theme--documenter-dark .file.is-medium{font-size:1.25rem}html.theme--documenter-dark .file.is-medium .file-icon .fa{font-size:21px}html.theme--documenter-dark .file.is-large{font-size:1.5rem}html.theme--documenter-dark .file.is-large .file-icon .fa{font-size:28px}html.theme--documenter-dark .file.has-name .file-cta{border-bottom-right-radius:0;border-top-right-radius:0}html.theme--documenter-dark .file.has-name .file-name{border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .file.has-name.is-empty .file-cta{border-radius:.4em}html.theme--documenter-dark .file.has-name.is-empty .file-name{display:none}html.theme--documenter-dark .file.is-boxed .file-label{flex-direction:column}html.theme--documenter-dark .file.is-boxed .file-cta{flex-direction:column;height:auto;padding:1em 3em}html.theme--documenter-dark .file.is-boxed .file-name{border-width:0 1px 1px}html.theme--documenter-dark .file.is-boxed .file-icon{height:1.5em;width:1.5em}html.theme--documenter-dark .file.is-boxed .file-icon .fa{font-size:21px}html.theme--documenter-dark .file.is-boxed.is-small .file-icon .fa,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-boxed .file-icon .fa{font-size:14px}html.theme--documenter-dark .file.is-boxed.is-medium .file-icon .fa{font-size:28px}html.theme--documenter-dark .file.is-boxed.is-large .file-icon .fa{font-size:35px}html.theme--documenter-dark .file.is-boxed.has-name .file-cta{border-radius:.4em .4em 0 0}html.theme--documenter-dark .file.is-boxed.has-name .file-name{border-radius:0 0 .4em .4em;border-width:0 1px 1px}html.theme--documenter-dark .file.is-centered{justify-content:center}html.theme--documenter-dark .file.is-fullwidth .file-label{width:100%}html.theme--documenter-dark .file.is-fullwidth .file-name{flex-grow:1;max-width:none}html.theme--documenter-dark .file.is-right{justify-content:flex-end}html.theme--documenter-dark .file.is-right .file-cta{border-radius:0 .4em .4em 0}html.theme--documenter-dark .file.is-right .file-name{border-radius:.4em 0 0 .4em;border-width:1px 0 1px 1px;order:-1}html.theme--documenter-dark .file-label{align-items:stretch;display:flex;cursor:pointer;justify-content:flex-start;overflow:hidden;position:relative}html.theme--documenter-dark .file-label:hover .file-cta{background-color:#232829;color:#f2f2f2}html.theme--documenter-dark .file-label:hover .file-name{border-color:#596668}html.theme--documenter-dark .file-label:active .file-cta{background-color:#1d2122;color:#f2f2f2}html.theme--documenter-dark .file-label:active .file-name{border-color:#535f61}html.theme--documenter-dark .file-input{height:100%;left:0;opacity:0;outline:none;position:absolute;top:0;width:100%}html.theme--documenter-dark .file-cta,html.theme--documenter-dark .file-name{border-color:#5e6d6f;border-radius:.4em;font-size:1em;padding-left:1em;padding-right:1em;white-space:nowrap}html.theme--documenter-dark .file-cta{background-color:#282f2f;color:#fff}html.theme--documenter-dark .file-name{border-color:#5e6d6f;border-style:solid;border-width:1px 1px 1px 0;display:block;max-width:16em;overflow:hidden;text-align:inherit;text-overflow:ellipsis}html.theme--documenter-dark .file-icon{align-items:center;display:flex;height:1em;justify-content:center;margin-right:.5em;width:1em}html.theme--documenter-dark .file-icon .fa{font-size:14px}html.theme--documenter-dark .label{color:#f2f2f2;display:block;font-size:1rem;font-weight:700}html.theme--documenter-dark .label:not(:last-child){margin-bottom:0.5em}html.theme--documenter-dark .label.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.label{font-size:.75rem}html.theme--documenter-dark .label.is-medium{font-size:1.25rem}html.theme--documenter-dark .label.is-large{font-size:1.5rem}html.theme--documenter-dark .help{display:block;font-size:.75rem;margin-top:0.25rem}html.theme--documenter-dark .help.is-white{color:#fff}html.theme--documenter-dark .help.is-black{color:#0a0a0a}html.theme--documenter-dark .help.is-light{color:#ecf0f1}html.theme--documenter-dark .help.is-dark,html.theme--documenter-dark .content kbd.help{color:#282f2f}html.theme--documenter-dark .help.is-primary,html.theme--documenter-dark .docstring>section>a.help.docs-sourcelink{color:#375a7f}html.theme--documenter-dark .help.is-link{color:#1abc9c}html.theme--documenter-dark .help.is-info{color:#024c7d}html.theme--documenter-dark .help.is-success{color:#008438}html.theme--documenter-dark .help.is-warning{color:#ad8100}html.theme--documenter-dark .help.is-danger{color:#9e1b0d}html.theme--documenter-dark .field:not(:last-child){margin-bottom:0.75rem}html.theme--documenter-dark .field.has-addons{display:flex;justify-content:flex-start}html.theme--documenter-dark .field.has-addons .control:not(:last-child){margin-right:-1px}html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .button,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .input,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:not(:first-child):not(:last-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:not(:first-child):not(:last-child) .select select{border-radius:0}html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .button,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .input,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:first-child:not(:only-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:first-child:not(:only-child) .select select{border-bottom-right-radius:0;border-top-right-radius:0}html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .button,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .input,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control:last-child:not(:only-child) form.docs-search>input,html.theme--documenter-dark .field.has-addons .control:last-child:not(:only-child) .select select{border-bottom-left-radius:0;border-top-left-radius:0}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .button.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-hovered:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-hovered:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select.is-hovered:not([disabled]){z-index:2}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .button.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .button.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):focus,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .input.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-focused:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):active,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .input.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-active:not([disabled]),html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-active:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):focus,html.theme--documenter-dark .field.has-addons .control .select select.is-focused:not([disabled]),html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):active,html.theme--documenter-dark .field.has-addons .control .select select.is-active:not([disabled]){z-index:3}html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .button.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .button:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .button.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):focus:hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .input.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-focused:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .input:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input:not([disabled]):active:hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .input.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control #documenter .docs-sidebar form.docs-search>input.is-active:not([disabled]):hover,html.theme--documenter-dark #documenter .docs-sidebar .field.has-addons .control form.docs-search>input.is-active:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):focus:hover,html.theme--documenter-dark .field.has-addons .control .select select.is-focused:not([disabled]):hover,html.theme--documenter-dark .field.has-addons .control .select select:not([disabled]):active:hover,html.theme--documenter-dark .field.has-addons .control .select select.is-active:not([disabled]):hover{z-index:4}html.theme--documenter-dark .field.has-addons .control.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .field.has-addons.has-addons-centered{justify-content:center}html.theme--documenter-dark .field.has-addons.has-addons-right{justify-content:flex-end}html.theme--documenter-dark .field.has-addons.has-addons-fullwidth .control{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .field.is-grouped{display:flex;justify-content:flex-start}html.theme--documenter-dark .field.is-grouped>.control{flex-shrink:0}html.theme--documenter-dark .field.is-grouped>.control:not(:last-child){margin-bottom:0;margin-right:.75rem}html.theme--documenter-dark .field.is-grouped>.control.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .field.is-grouped.is-grouped-centered{justify-content:center}html.theme--documenter-dark .field.is-grouped.is-grouped-right{justify-content:flex-end}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline{flex-wrap:wrap}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline>.control:last-child,html.theme--documenter-dark .field.is-grouped.is-grouped-multiline>.control:not(:last-child){margin-bottom:0.75rem}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline:last-child{margin-bottom:-0.75rem}html.theme--documenter-dark .field.is-grouped.is-grouped-multiline:not(:last-child){margin-bottom:0}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field.is-horizontal{display:flex}}html.theme--documenter-dark .field-label .label{font-size:inherit}@media screen and (max-width: 768px){html.theme--documenter-dark .field-label{margin-bottom:0.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field-label{flex-basis:0;flex-grow:1;flex-shrink:0;margin-right:1.5rem;text-align:right}html.theme--documenter-dark .field-label.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.field-label{font-size:.75rem;padding-top:0.375em}html.theme--documenter-dark .field-label.is-normal{padding-top:0.375em}html.theme--documenter-dark .field-label.is-medium{font-size:1.25rem;padding-top:0.375em}html.theme--documenter-dark .field-label.is-large{font-size:1.5rem;padding-top:0.375em}}html.theme--documenter-dark .field-body .field .field{margin-bottom:0}@media screen and (min-width: 769px),print{html.theme--documenter-dark .field-body{display:flex;flex-basis:0;flex-grow:5;flex-shrink:1}html.theme--documenter-dark .field-body .field{margin-bottom:0}html.theme--documenter-dark .field-body>.field{flex-shrink:1}html.theme--documenter-dark .field-body>.field:not(.is-narrow){flex-grow:1}html.theme--documenter-dark .field-body>.field:not(:last-child){margin-right:.75rem}}html.theme--documenter-dark .control{box-sizing:border-box;clear:both;font-size:1rem;position:relative;text-align:inherit}html.theme--documenter-dark .control.has-icons-left .input:focus~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input:focus~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input:focus~.icon,html.theme--documenter-dark .control.has-icons-left .select:focus~.icon,html.theme--documenter-dark .control.has-icons-right .input:focus~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input:focus~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input:focus~.icon,html.theme--documenter-dark .control.has-icons-right .select:focus~.icon{color:#282f2f}html.theme--documenter-dark .control.has-icons-left .input.is-small~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-small~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-small~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-small~.icon{font-size:.75rem}html.theme--documenter-dark .control.has-icons-left .input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input.is-medium~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input.is-medium~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input.is-medium~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-medium~.icon{font-size:1.25rem}html.theme--documenter-dark .control.has-icons-left .input.is-large~.icon,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input.is-large~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input.is-large~.icon,html.theme--documenter-dark .control.has-icons-left .select.is-large~.icon,html.theme--documenter-dark .control.has-icons-right .input.is-large~.icon,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input.is-large~.icon,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input.is-large~.icon,html.theme--documenter-dark .control.has-icons-right .select.is-large~.icon{font-size:1.5rem}html.theme--documenter-dark .control.has-icons-left .icon,html.theme--documenter-dark .control.has-icons-right .icon{color:#5e6d6f;height:2.5em;pointer-events:none;position:absolute;top:0;width:2.5em;z-index:4}html.theme--documenter-dark .control.has-icons-left .input,html.theme--documenter-dark .control.has-icons-left #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-left form.docs-search>input,html.theme--documenter-dark .control.has-icons-left .select select{padding-left:2.5em}html.theme--documenter-dark .control.has-icons-left .icon.is-left{left:0}html.theme--documenter-dark .control.has-icons-right .input,html.theme--documenter-dark .control.has-icons-right #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-icons-right form.docs-search>input,html.theme--documenter-dark .control.has-icons-right .select select{padding-right:2.5em}html.theme--documenter-dark .control.has-icons-right .icon.is-right{right:0}html.theme--documenter-dark .control.is-loading::after{position:absolute !important;right:.625em;top:0.625em;z-index:4}html.theme--documenter-dark .control.is-loading.is-small:after,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.is-loading:after{font-size:.75rem}html.theme--documenter-dark .control.is-loading.is-medium:after{font-size:1.25rem}html.theme--documenter-dark .control.is-loading.is-large:after{font-size:1.5rem}html.theme--documenter-dark .breadcrumb{font-size:1rem;white-space:nowrap}html.theme--documenter-dark .breadcrumb a{align-items:center;color:#1abc9c;display:flex;justify-content:center;padding:0 .75em}html.theme--documenter-dark .breadcrumb a:hover{color:#1dd2af}html.theme--documenter-dark .breadcrumb li{align-items:center;display:flex}html.theme--documenter-dark .breadcrumb li:first-child a{padding-left:0}html.theme--documenter-dark .breadcrumb li.is-active a{color:#f2f2f2;cursor:default;pointer-events:none}html.theme--documenter-dark .breadcrumb li+li::before{color:#8c9b9d;content:"\0002f"}html.theme--documenter-dark .breadcrumb ul,html.theme--documenter-dark .breadcrumb ol{align-items:flex-start;display:flex;flex-wrap:wrap;justify-content:flex-start}html.theme--documenter-dark .breadcrumb .icon:first-child{margin-right:.5em}html.theme--documenter-dark .breadcrumb .icon:last-child{margin-left:.5em}html.theme--documenter-dark .breadcrumb.is-centered ol,html.theme--documenter-dark .breadcrumb.is-centered ul{justify-content:center}html.theme--documenter-dark .breadcrumb.is-right ol,html.theme--documenter-dark .breadcrumb.is-right ul{justify-content:flex-end}html.theme--documenter-dark .breadcrumb.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.breadcrumb{font-size:.75rem}html.theme--documenter-dark .breadcrumb.is-medium{font-size:1.25rem}html.theme--documenter-dark .breadcrumb.is-large{font-size:1.5rem}html.theme--documenter-dark .breadcrumb.has-arrow-separator li+li::before{content:"\02192"}html.theme--documenter-dark .breadcrumb.has-bullet-separator li+li::before{content:"\02022"}html.theme--documenter-dark .breadcrumb.has-dot-separator li+li::before{content:"\000b7"}html.theme--documenter-dark .breadcrumb.has-succeeds-separator li+li::before{content:"\0227B"}html.theme--documenter-dark .card{background-color:#fff;border-radius:.25rem;box-shadow:#171717;color:#fff;max-width:100%;position:relative}html.theme--documenter-dark .card-footer:first-child,html.theme--documenter-dark .card-content:first-child,html.theme--documenter-dark .card-header:first-child{border-top-left-radius:.25rem;border-top-right-radius:.25rem}html.theme--documenter-dark .card-footer:last-child,html.theme--documenter-dark .card-content:last-child,html.theme--documenter-dark .card-header:last-child{border-bottom-left-radius:.25rem;border-bottom-right-radius:.25rem}html.theme--documenter-dark .card-header{background-color:rgba(0,0,0,0);align-items:stretch;box-shadow:0 0.125em 0.25em rgba(10,10,10,0.1);display:flex}html.theme--documenter-dark .card-header-title{align-items:center;color:#f2f2f2;display:flex;flex-grow:1;font-weight:700;padding:0.75rem 1rem}html.theme--documenter-dark .card-header-title.is-centered{justify-content:center}html.theme--documenter-dark .card-header-icon{-moz-appearance:none;-webkit-appearance:none;appearance:none;background:none;border:none;color:currentColor;font-family:inherit;font-size:1em;margin:0;padding:0;align-items:center;cursor:pointer;display:flex;justify-content:center;padding:0.75rem 1rem}html.theme--documenter-dark .card-image{display:block;position:relative}html.theme--documenter-dark .card-image:first-child img{border-top-left-radius:.25rem;border-top-right-radius:.25rem}html.theme--documenter-dark .card-image:last-child img{border-bottom-left-radius:.25rem;border-bottom-right-radius:.25rem}html.theme--documenter-dark .card-content{background-color:rgba(0,0,0,0);padding:1.5rem}html.theme--documenter-dark .card-footer{background-color:rgba(0,0,0,0);border-top:1px solid #ededed;align-items:stretch;display:flex}html.theme--documenter-dark .card-footer-item{align-items:center;display:flex;flex-basis:0;flex-grow:1;flex-shrink:0;justify-content:center;padding:.75rem}html.theme--documenter-dark .card-footer-item:not(:last-child){border-right:1px solid #ededed}html.theme--documenter-dark .card .media:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .dropdown{display:inline-flex;position:relative;vertical-align:top}html.theme--documenter-dark .dropdown.is-active .dropdown-menu,html.theme--documenter-dark .dropdown.is-hoverable:hover .dropdown-menu{display:block}html.theme--documenter-dark .dropdown.is-right .dropdown-menu{left:auto;right:0}html.theme--documenter-dark .dropdown.is-up .dropdown-menu{bottom:100%;padding-bottom:4px;padding-top:initial;top:auto}html.theme--documenter-dark .dropdown-menu{display:none;left:0;min-width:12rem;padding-top:4px;position:absolute;top:100%;z-index:20}html.theme--documenter-dark .dropdown-content{background-color:#282f2f;border-radius:.4em;box-shadow:#171717;padding-bottom:.5rem;padding-top:.5rem}html.theme--documenter-dark .dropdown-item{color:#fff;display:block;font-size:0.875rem;line-height:1.5;padding:0.375rem 1rem;position:relative}html.theme--documenter-dark a.dropdown-item,html.theme--documenter-dark button.dropdown-item{padding-right:3rem;text-align:inherit;white-space:nowrap;width:100%}html.theme--documenter-dark a.dropdown-item:hover,html.theme--documenter-dark button.dropdown-item:hover{background-color:#282f2f;color:#0a0a0a}html.theme--documenter-dark a.dropdown-item.is-active,html.theme--documenter-dark button.dropdown-item.is-active{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .dropdown-divider{background-color:#ededed;border:none;display:block;height:1px;margin:0.5rem 0}html.theme--documenter-dark .level{align-items:center;justify-content:space-between}html.theme--documenter-dark .level code{border-radius:.4em}html.theme--documenter-dark .level img{display:inline-block;vertical-align:top}html.theme--documenter-dark .level.is-mobile{display:flex}html.theme--documenter-dark .level.is-mobile .level-left,html.theme--documenter-dark .level.is-mobile .level-right{display:flex}html.theme--documenter-dark .level.is-mobile .level-left+.level-right{margin-top:0}html.theme--documenter-dark .level.is-mobile .level-item:not(:last-child){margin-bottom:0;margin-right:.75rem}html.theme--documenter-dark .level.is-mobile .level-item:not(.is-narrow){flex-grow:1}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level{display:flex}html.theme--documenter-dark .level>.level-item:not(.is-narrow){flex-grow:1}}html.theme--documenter-dark .level-item{align-items:center;display:flex;flex-basis:auto;flex-grow:0;flex-shrink:0;justify-content:center}html.theme--documenter-dark .level-item .title,html.theme--documenter-dark .level-item .subtitle{margin-bottom:0}@media screen and (max-width: 768px){html.theme--documenter-dark .level-item:not(:last-child){margin-bottom:.75rem}}html.theme--documenter-dark .level-left,html.theme--documenter-dark .level-right{flex-basis:auto;flex-grow:0;flex-shrink:0}html.theme--documenter-dark .level-left .level-item.is-flexible,html.theme--documenter-dark .level-right .level-item.is-flexible{flex-grow:1}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-left .level-item:not(:last-child),html.theme--documenter-dark .level-right .level-item:not(:last-child){margin-right:.75rem}}html.theme--documenter-dark .level-left{align-items:center;justify-content:flex-start}@media screen and (max-width: 768px){html.theme--documenter-dark .level-left+.level-right{margin-top:1.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-left{display:flex}}html.theme--documenter-dark .level-right{align-items:center;justify-content:flex-end}@media screen and (min-width: 769px),print{html.theme--documenter-dark .level-right{display:flex}}html.theme--documenter-dark .media{align-items:flex-start;display:flex;text-align:inherit}html.theme--documenter-dark .media .content:not(:last-child){margin-bottom:.75rem}html.theme--documenter-dark .media .media{border-top:1px solid rgba(94,109,111,0.5);display:flex;padding-top:.75rem}html.theme--documenter-dark .media .media .content:not(:last-child),html.theme--documenter-dark .media .media .control:not(:last-child){margin-bottom:.5rem}html.theme--documenter-dark .media .media .media{padding-top:.5rem}html.theme--documenter-dark .media .media .media+.media{margin-top:.5rem}html.theme--documenter-dark .media+.media{border-top:1px solid rgba(94,109,111,0.5);margin-top:1rem;padding-top:1rem}html.theme--documenter-dark .media.is-large+.media{margin-top:1.5rem;padding-top:1.5rem}html.theme--documenter-dark .media-left,html.theme--documenter-dark .media-right{flex-basis:auto;flex-grow:0;flex-shrink:0}html.theme--documenter-dark .media-left{margin-right:1rem}html.theme--documenter-dark .media-right{margin-left:1rem}html.theme--documenter-dark .media-content{flex-basis:auto;flex-grow:1;flex-shrink:1;text-align:inherit}@media screen and (max-width: 768px){html.theme--documenter-dark .media-content{overflow-x:auto}}html.theme--documenter-dark .menu{font-size:1rem}html.theme--documenter-dark .menu.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.menu{font-size:.75rem}html.theme--documenter-dark .menu.is-medium{font-size:1.25rem}html.theme--documenter-dark .menu.is-large{font-size:1.5rem}html.theme--documenter-dark .menu-list{line-height:1.25}html.theme--documenter-dark .menu-list a{border-radius:3px;color:#fff;display:block;padding:0.5em 0.75em}html.theme--documenter-dark .menu-list a:hover{background-color:#282f2f;color:#f2f2f2}html.theme--documenter-dark .menu-list a.is-active{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .menu-list li ul{border-left:1px solid #5e6d6f;margin:.75em;padding-left:.75em}html.theme--documenter-dark .menu-label{color:#fff;font-size:.75em;letter-spacing:.1em;text-transform:uppercase}html.theme--documenter-dark .menu-label:not(:first-child){margin-top:1em}html.theme--documenter-dark .menu-label:not(:last-child){margin-bottom:1em}html.theme--documenter-dark .message{background-color:#282f2f;border-radius:.4em;font-size:1rem}html.theme--documenter-dark .message strong{color:currentColor}html.theme--documenter-dark .message a:not(.button):not(.tag):not(.dropdown-item){color:currentColor;text-decoration:underline}html.theme--documenter-dark .message.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.message{font-size:.75rem}html.theme--documenter-dark .message.is-medium{font-size:1.25rem}html.theme--documenter-dark .message.is-large{font-size:1.5rem}html.theme--documenter-dark .message.is-white{background-color:#fff}html.theme--documenter-dark .message.is-white .message-header{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .message.is-white .message-body{border-color:#fff}html.theme--documenter-dark .message.is-black{background-color:#fafafa}html.theme--documenter-dark .message.is-black .message-header{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .message.is-black .message-body{border-color:#0a0a0a}html.theme--documenter-dark .message.is-light{background-color:#f9fafb}html.theme--documenter-dark .message.is-light .message-header{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .message.is-light .message-body{border-color:#ecf0f1}html.theme--documenter-dark .message.is-dark,html.theme--documenter-dark .content kbd.message{background-color:#f9fafa}html.theme--documenter-dark .message.is-dark .message-header,html.theme--documenter-dark .content kbd.message .message-header{background-color:#282f2f;color:#fff}html.theme--documenter-dark .message.is-dark .message-body,html.theme--documenter-dark .content kbd.message .message-body{border-color:#282f2f}html.theme--documenter-dark .message.is-primary,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink{background-color:#f1f5f9}html.theme--documenter-dark .message.is-primary .message-header,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink .message-header{background-color:#375a7f;color:#fff}html.theme--documenter-dark .message.is-primary .message-body,html.theme--documenter-dark .docstring>section>a.message.docs-sourcelink .message-body{border-color:#375a7f;color:#4d7eb2}html.theme--documenter-dark .message.is-link{background-color:#edfdf9}html.theme--documenter-dark .message.is-link .message-header{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .message.is-link .message-body{border-color:#1abc9c;color:#15987e}html.theme--documenter-dark .message.is-info{background-color:#ebf7ff}html.theme--documenter-dark .message.is-info .message-header{background-color:#024c7d;color:#fff}html.theme--documenter-dark .message.is-info .message-body{border-color:#024c7d;color:#0e9dfb}html.theme--documenter-dark .message.is-success{background-color:#ebfff3}html.theme--documenter-dark .message.is-success .message-header{background-color:#008438;color:#fff}html.theme--documenter-dark .message.is-success .message-body{border-color:#008438;color:#00eb64}html.theme--documenter-dark .message.is-warning{background-color:#fffaeb}html.theme--documenter-dark .message.is-warning .message-header{background-color:#ad8100;color:#fff}html.theme--documenter-dark .message.is-warning .message-body{border-color:#ad8100;color:#d19c00}html.theme--documenter-dark .message.is-danger{background-color:#fdeeec}html.theme--documenter-dark .message.is-danger .message-header{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .message.is-danger .message-body{border-color:#9e1b0d;color:#ec311d}html.theme--documenter-dark .message-header{align-items:center;background-color:#fff;border-radius:.4em .4em 0 0;color:rgba(0,0,0,0.7);display:flex;font-weight:700;justify-content:space-between;line-height:1.25;padding:0.75em 1em;position:relative}html.theme--documenter-dark .message-header .delete{flex-grow:0;flex-shrink:0;margin-left:.75em}html.theme--documenter-dark .message-header+.message-body{border-width:0;border-top-left-radius:0;border-top-right-radius:0}html.theme--documenter-dark .message-body{border-color:#5e6d6f;border-radius:.4em;border-style:solid;border-width:0 0 0 4px;color:#fff;padding:1.25em 1.5em}html.theme--documenter-dark .message-body code,html.theme--documenter-dark .message-body pre{background-color:#fff}html.theme--documenter-dark .message-body pre code{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .modal{align-items:center;display:none;flex-direction:column;justify-content:center;overflow:hidden;position:fixed;z-index:40}html.theme--documenter-dark .modal.is-active{display:flex}html.theme--documenter-dark .modal-background{background-color:rgba(10,10,10,0.86)}html.theme--documenter-dark .modal-content,html.theme--documenter-dark .modal-card{margin:0 20px;max-height:calc(100vh - 160px);overflow:auto;position:relative;width:100%}@media screen and (min-width: 769px){html.theme--documenter-dark .modal-content,html.theme--documenter-dark .modal-card{margin:0 auto;max-height:calc(100vh - 40px);width:640px}}html.theme--documenter-dark .modal-close{background:none;height:40px;position:fixed;right:20px;top:20px;width:40px}html.theme--documenter-dark .modal-card{display:flex;flex-direction:column;max-height:calc(100vh - 40px);overflow:hidden;-ms-overflow-y:visible}html.theme--documenter-dark .modal-card-head,html.theme--documenter-dark .modal-card-foot{align-items:center;background-color:#282f2f;display:flex;flex-shrink:0;justify-content:flex-start;padding:20px;position:relative}html.theme--documenter-dark .modal-card-head{border-bottom:1px solid #5e6d6f;border-top-left-radius:8px;border-top-right-radius:8px}html.theme--documenter-dark .modal-card-title{color:#f2f2f2;flex-grow:1;flex-shrink:0;font-size:1.5rem;line-height:1}html.theme--documenter-dark .modal-card-foot{border-bottom-left-radius:8px;border-bottom-right-radius:8px;border-top:1px solid #5e6d6f}html.theme--documenter-dark .modal-card-foot .button:not(:last-child){margin-right:.5em}html.theme--documenter-dark .modal-card-body{-webkit-overflow-scrolling:touch;background-color:#fff;flex-grow:1;flex-shrink:1;overflow:auto;padding:20px}html.theme--documenter-dark .navbar{background-color:#375a7f;min-height:4rem;position:relative;z-index:30}html.theme--documenter-dark .navbar.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link{color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-brand .navbar-link::after{border-color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-burger{color:#0a0a0a}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-white .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link{color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-white .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-white .navbar-end .navbar-link::after{border-color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-white .navbar-item.has-dropdown.is-active .navbar-link{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .navbar.is-white .navbar-dropdown a.navbar-item.is-active{background-color:#fff;color:#0a0a0a}}html.theme--documenter-dark .navbar.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-black .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-black .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-black .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-black .navbar-item.has-dropdown.is-active .navbar-link{background-color:#000;color:#fff}html.theme--documenter-dark .navbar.is-black .navbar-dropdown a.navbar-item.is-active{background-color:#0a0a0a;color:#fff}}html.theme--documenter-dark .navbar.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-brand .navbar-link::after{border-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-burger{color:rgba(0,0,0,0.7)}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-light .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-light .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-light .navbar-end .navbar-link::after{border-color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-light .navbar-item.has-dropdown.is-active .navbar-link{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .navbar.is-light .navbar-dropdown a.navbar-item.is-active{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}}html.theme--documenter-dark .navbar.is-dark,html.theme--documenter-dark .content kbd.navbar{background-color:#282f2f;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-brand .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-burger,html.theme--documenter-dark .content kbd.navbar .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-dark .navbar-start>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-end>.navbar-item,html.theme--documenter-dark .content kbd.navbar .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-dark .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link:focus,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link:hover,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-start .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-dark .navbar-end .navbar-link::after,html.theme--documenter-dark .content kbd.navbar .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-dark .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .content kbd.navbar .navbar-item.has-dropdown.is-active .navbar-link{background-color:#1d2122;color:#fff}html.theme--documenter-dark .navbar.is-dark .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .content kbd.navbar .navbar-dropdown a.navbar-item.is-active{background-color:#282f2f;color:#fff}}html.theme--documenter-dark .navbar.is-primary,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-brand .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-burger,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-primary .navbar-start>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-end>.navbar-item,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-primary .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link:focus,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-start .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-primary .navbar-end .navbar-link::after,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-primary .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-item.has-dropdown.is-active .navbar-link{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .navbar.is-primary .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-dropdown a.navbar-item.is-active{background-color:#375a7f;color:#fff}}html.theme--documenter-dark .navbar.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-link .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-link .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-link .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-link .navbar-item.has-dropdown.is-active .navbar-link{background-color:#17a689;color:#fff}html.theme--documenter-dark .navbar.is-link .navbar-dropdown a.navbar-item.is-active{background-color:#1abc9c;color:#fff}}html.theme--documenter-dark .navbar.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-info .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-info .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-info .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-info .navbar-item.has-dropdown.is-active .navbar-link{background-color:#023d64;color:#fff}html.theme--documenter-dark .navbar.is-info .navbar-dropdown a.navbar-item.is-active{background-color:#024c7d;color:#fff}}html.theme--documenter-dark .navbar.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-success .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-success .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-success .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-success .navbar-item.has-dropdown.is-active .navbar-link{background-color:#006b2d;color:#fff}html.theme--documenter-dark .navbar.is-success .navbar-dropdown a.navbar-item.is-active{background-color:#008438;color:#fff}}html.theme--documenter-dark .navbar.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-warning .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-warning .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-warning .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-warning .navbar-item.has-dropdown.is-active .navbar-link{background-color:#946e00;color:#fff}html.theme--documenter-dark .navbar.is-warning .navbar-dropdown a.navbar-item.is-active{background-color:#ad8100;color:#fff}}html.theme--documenter-dark .navbar.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-brand>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-brand .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-burger{color:#fff}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar.is-danger .navbar-start>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-end>.navbar-item,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link{color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-start>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item:focus,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item:hover,html.theme--documenter-dark .navbar.is-danger .navbar-end>a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link:focus,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link:hover,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-start .navbar-link::after,html.theme--documenter-dark .navbar.is-danger .navbar-end .navbar-link::after{border-color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar.is-danger .navbar-item.has-dropdown.is-active .navbar-link{background-color:#86170b;color:#fff}html.theme--documenter-dark .navbar.is-danger .navbar-dropdown a.navbar-item.is-active{background-color:#9e1b0d;color:#fff}}html.theme--documenter-dark .navbar>.container{align-items:stretch;display:flex;min-height:4rem;width:100%}html.theme--documenter-dark .navbar.has-shadow{box-shadow:0 2px 0 0 #282f2f}html.theme--documenter-dark .navbar.is-fixed-bottom,html.theme--documenter-dark .navbar.is-fixed-top{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom.has-shadow{box-shadow:0 -2px 0 0 #282f2f}html.theme--documenter-dark .navbar.is-fixed-top{top:0}html.theme--documenter-dark html.has-navbar-fixed-top,html.theme--documenter-dark body.has-navbar-fixed-top{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom,html.theme--documenter-dark body.has-navbar-fixed-bottom{padding-bottom:4rem}html.theme--documenter-dark .navbar-brand,html.theme--documenter-dark .navbar-tabs{align-items:stretch;display:flex;flex-shrink:0;min-height:4rem}html.theme--documenter-dark .navbar-brand a.navbar-item:focus,html.theme--documenter-dark .navbar-brand a.navbar-item:hover{background-color:transparent}html.theme--documenter-dark .navbar-tabs{-webkit-overflow-scrolling:touch;max-width:100vw;overflow-x:auto;overflow-y:hidden}html.theme--documenter-dark .navbar-burger{color:#fff;-moz-appearance:none;-webkit-appearance:none;appearance:none;background:none;border:none;cursor:pointer;display:block;height:4rem;position:relative;width:4rem;margin-left:auto}html.theme--documenter-dark .navbar-burger span{background-color:currentColor;display:block;height:1px;left:calc(50% - 8px);position:absolute;transform-origin:center;transition-duration:86ms;transition-property:background-color, opacity, transform;transition-timing-function:ease-out;width:16px}html.theme--documenter-dark .navbar-burger span:nth-child(1){top:calc(50% - 6px)}html.theme--documenter-dark .navbar-burger span:nth-child(2){top:calc(50% - 1px)}html.theme--documenter-dark .navbar-burger span:nth-child(3){top:calc(50% + 4px)}html.theme--documenter-dark .navbar-burger:hover{background-color:rgba(0,0,0,0.05)}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(1){transform:translateY(5px) rotate(45deg)}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(2){opacity:0}html.theme--documenter-dark .navbar-burger.is-active span:nth-child(3){transform:translateY(-5px) rotate(-45deg)}html.theme--documenter-dark .navbar-menu{display:none}html.theme--documenter-dark .navbar-item,html.theme--documenter-dark .navbar-link{color:#fff;display:block;line-height:1.5;padding:0.5rem 0.75rem;position:relative}html.theme--documenter-dark .navbar-item .icon:only-child,html.theme--documenter-dark .navbar-link .icon:only-child{margin-left:-0.25rem;margin-right:-0.25rem}html.theme--documenter-dark a.navbar-item,html.theme--documenter-dark .navbar-link{cursor:pointer}html.theme--documenter-dark a.navbar-item:focus,html.theme--documenter-dark a.navbar-item:focus-within,html.theme--documenter-dark a.navbar-item:hover,html.theme--documenter-dark a.navbar-item.is-active,html.theme--documenter-dark .navbar-link:focus,html.theme--documenter-dark .navbar-link:focus-within,html.theme--documenter-dark .navbar-link:hover,html.theme--documenter-dark .navbar-link.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}html.theme--documenter-dark .navbar-item{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .navbar-item img{max-height:1.75rem}html.theme--documenter-dark .navbar-item.has-dropdown{padding:0}html.theme--documenter-dark .navbar-item.is-expanded{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .navbar-item.is-tab{border-bottom:1px solid transparent;min-height:4rem;padding-bottom:calc(0.5rem - 1px)}html.theme--documenter-dark .navbar-item.is-tab:focus,html.theme--documenter-dark .navbar-item.is-tab:hover{background-color:rgba(0,0,0,0);border-bottom-color:#1abc9c}html.theme--documenter-dark .navbar-item.is-tab.is-active{background-color:rgba(0,0,0,0);border-bottom-color:#1abc9c;border-bottom-style:solid;border-bottom-width:3px;color:#1abc9c;padding-bottom:calc(0.5rem - 3px)}html.theme--documenter-dark .navbar-content{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .navbar-link:not(.is-arrowless){padding-right:2.5em}html.theme--documenter-dark .navbar-link:not(.is-arrowless)::after{border-color:#fff;margin-top:-0.375em;right:1.125em}html.theme--documenter-dark .navbar-dropdown{font-size:0.875rem;padding-bottom:0.5rem;padding-top:0.5rem}html.theme--documenter-dark .navbar-dropdown .navbar-item{padding-left:1.5rem;padding-right:1.5rem}html.theme--documenter-dark .navbar-divider{background-color:rgba(0,0,0,0.2);border:none;display:none;height:2px;margin:0.5rem 0}@media screen and (max-width: 1055px){html.theme--documenter-dark .navbar>.container{display:block}html.theme--documenter-dark .navbar-brand .navbar-item,html.theme--documenter-dark .navbar-tabs .navbar-item{align-items:center;display:flex}html.theme--documenter-dark .navbar-link::after{display:none}html.theme--documenter-dark .navbar-menu{background-color:#375a7f;box-shadow:0 8px 16px rgba(10,10,10,0.1);padding:0.5rem 0}html.theme--documenter-dark .navbar-menu.is-active{display:block}html.theme--documenter-dark .navbar.is-fixed-bottom-touch,html.theme--documenter-dark .navbar.is-fixed-top-touch{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom-touch{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom-touch.has-shadow{box-shadow:0 -2px 3px rgba(10,10,10,0.1)}html.theme--documenter-dark .navbar.is-fixed-top-touch{top:0}html.theme--documenter-dark .navbar.is-fixed-top .navbar-menu,html.theme--documenter-dark .navbar.is-fixed-top-touch .navbar-menu{-webkit-overflow-scrolling:touch;max-height:calc(100vh - 4rem);overflow:auto}html.theme--documenter-dark html.has-navbar-fixed-top-touch,html.theme--documenter-dark body.has-navbar-fixed-top-touch{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom-touch,html.theme--documenter-dark body.has-navbar-fixed-bottom-touch{padding-bottom:4rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .navbar,html.theme--documenter-dark .navbar-menu,html.theme--documenter-dark .navbar-start,html.theme--documenter-dark .navbar-end{align-items:stretch;display:flex}html.theme--documenter-dark .navbar{min-height:4rem}html.theme--documenter-dark .navbar.is-spaced{padding:1rem 2rem}html.theme--documenter-dark .navbar.is-spaced .navbar-start,html.theme--documenter-dark .navbar.is-spaced .navbar-end{align-items:center}html.theme--documenter-dark .navbar.is-spaced a.navbar-item,html.theme--documenter-dark .navbar.is-spaced .navbar-link{border-radius:.4em}html.theme--documenter-dark .navbar.is-transparent a.navbar-item:focus,html.theme--documenter-dark .navbar.is-transparent a.navbar-item:hover,html.theme--documenter-dark .navbar.is-transparent a.navbar-item.is-active,html.theme--documenter-dark .navbar.is-transparent .navbar-link:focus,html.theme--documenter-dark .navbar.is-transparent .navbar-link:hover,html.theme--documenter-dark .navbar.is-transparent .navbar-link.is-active{background-color:transparent !important}html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-active .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:focus .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:focus-within .navbar-link,html.theme--documenter-dark .navbar.is-transparent .navbar-item.has-dropdown.is-hoverable:hover .navbar-link{background-color:transparent !important}html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item:focus,html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item:hover{background-color:rgba(0,0,0,0);color:#dbdee0}html.theme--documenter-dark .navbar.is-transparent .navbar-dropdown a.navbar-item.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}html.theme--documenter-dark .navbar-burger{display:none}html.theme--documenter-dark .navbar-item,html.theme--documenter-dark .navbar-link{align-items:center;display:flex}html.theme--documenter-dark .navbar-item.has-dropdown{align-items:stretch}html.theme--documenter-dark .navbar-item.has-dropdown-up .navbar-link::after{transform:rotate(135deg) translate(0.25em, -0.25em)}html.theme--documenter-dark .navbar-item.has-dropdown-up .navbar-dropdown{border-bottom:1px solid rgba(0,0,0,0.2);border-radius:8px 8px 0 0;border-top:none;bottom:100%;box-shadow:0 -8px 8px rgba(10,10,10,0.1);top:auto}html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown{display:block}.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-active .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:focus-within .navbar-dropdown.is-boxed,.navbar.is-spaced html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown,html.theme--documenter-dark .navbar-item.is-hoverable:hover .navbar-dropdown.is-boxed{opacity:1;pointer-events:auto;transform:translateY(0)}html.theme--documenter-dark .navbar-menu{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .navbar-start{justify-content:flex-start;margin-right:auto}html.theme--documenter-dark .navbar-end{justify-content:flex-end;margin-left:auto}html.theme--documenter-dark .navbar-dropdown{background-color:#375a7f;border-bottom-left-radius:8px;border-bottom-right-radius:8px;border-top:1px solid rgba(0,0,0,0.2);box-shadow:0 8px 8px rgba(10,10,10,0.1);display:none;font-size:0.875rem;left:0;min-width:100%;position:absolute;top:100%;z-index:20}html.theme--documenter-dark .navbar-dropdown .navbar-item{padding:0.375rem 1rem;white-space:nowrap}html.theme--documenter-dark .navbar-dropdown a.navbar-item{padding-right:3rem}html.theme--documenter-dark .navbar-dropdown a.navbar-item:focus,html.theme--documenter-dark .navbar-dropdown a.navbar-item:hover{background-color:rgba(0,0,0,0);color:#dbdee0}html.theme--documenter-dark .navbar-dropdown a.navbar-item.is-active{background-color:rgba(0,0,0,0);color:#1abc9c}.navbar.is-spaced html.theme--documenter-dark .navbar-dropdown,html.theme--documenter-dark .navbar-dropdown.is-boxed{border-radius:8px;border-top:none;box-shadow:0 8px 8px rgba(10,10,10,0.1), 0 0 0 1px rgba(10,10,10,0.1);display:block;opacity:0;pointer-events:none;top:calc(100% + (-4px));transform:translateY(-5px);transition-duration:86ms;transition-property:opacity, transform}html.theme--documenter-dark .navbar-dropdown.is-right{left:auto;right:0}html.theme--documenter-dark .navbar-divider{display:block}html.theme--documenter-dark .navbar>.container .navbar-brand,html.theme--documenter-dark .container>.navbar .navbar-brand{margin-left:-.75rem}html.theme--documenter-dark .navbar>.container .navbar-menu,html.theme--documenter-dark .container>.navbar .navbar-menu{margin-right:-.75rem}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop,html.theme--documenter-dark .navbar.is-fixed-top-desktop{left:0;position:fixed;right:0;z-index:30}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop{bottom:0}html.theme--documenter-dark .navbar.is-fixed-bottom-desktop.has-shadow{box-shadow:0 -2px 3px rgba(10,10,10,0.1)}html.theme--documenter-dark .navbar.is-fixed-top-desktop{top:0}html.theme--documenter-dark html.has-navbar-fixed-top-desktop,html.theme--documenter-dark body.has-navbar-fixed-top-desktop{padding-top:4rem}html.theme--documenter-dark html.has-navbar-fixed-bottom-desktop,html.theme--documenter-dark body.has-navbar-fixed-bottom-desktop{padding-bottom:4rem}html.theme--documenter-dark html.has-spaced-navbar-fixed-top,html.theme--documenter-dark body.has-spaced-navbar-fixed-top{padding-top:6rem}html.theme--documenter-dark html.has-spaced-navbar-fixed-bottom,html.theme--documenter-dark body.has-spaced-navbar-fixed-bottom{padding-bottom:6rem}html.theme--documenter-dark a.navbar-item.is-active,html.theme--documenter-dark .navbar-link.is-active{color:#1abc9c}html.theme--documenter-dark a.navbar-item.is-active:not(:focus):not(:hover),html.theme--documenter-dark .navbar-link.is-active:not(:focus):not(:hover){background-color:rgba(0,0,0,0)}html.theme--documenter-dark .navbar-item.has-dropdown:focus .navbar-link,html.theme--documenter-dark .navbar-item.has-dropdown:hover .navbar-link,html.theme--documenter-dark .navbar-item.has-dropdown.is-active .navbar-link{background-color:rgba(0,0,0,0)}}html.theme--documenter-dark .hero.is-fullheight-with-navbar{min-height:calc(100vh - 4rem)}html.theme--documenter-dark .pagination{font-size:1rem;margin:-.25rem}html.theme--documenter-dark .pagination.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination{font-size:.75rem}html.theme--documenter-dark .pagination.is-medium{font-size:1.25rem}html.theme--documenter-dark .pagination.is-large{font-size:1.5rem}html.theme--documenter-dark .pagination.is-rounded .pagination-previous,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-previous,html.theme--documenter-dark .pagination.is-rounded .pagination-next,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-next{padding-left:1em;padding-right:1em;border-radius:9999px}html.theme--documenter-dark .pagination.is-rounded .pagination-link,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.pagination .pagination-link{border-radius:9999px}html.theme--documenter-dark .pagination,html.theme--documenter-dark .pagination-list{align-items:center;display:flex;justify-content:center;text-align:center}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-ellipsis{font-size:1em;justify-content:center;margin:.25rem;padding-left:.5em;padding-right:.5em;text-align:center}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link{border-color:#5e6d6f;color:#1abc9c;min-width:2.5em}html.theme--documenter-dark .pagination-previous:hover,html.theme--documenter-dark .pagination-next:hover,html.theme--documenter-dark .pagination-link:hover{border-color:#8c9b9d;color:#1dd2af}html.theme--documenter-dark .pagination-previous:focus,html.theme--documenter-dark .pagination-next:focus,html.theme--documenter-dark .pagination-link:focus{border-color:#8c9b9d}html.theme--documenter-dark .pagination-previous:active,html.theme--documenter-dark .pagination-next:active,html.theme--documenter-dark .pagination-link:active{box-shadow:inset 0 1px 2px rgba(10,10,10,0.2)}html.theme--documenter-dark .pagination-previous[disabled],html.theme--documenter-dark .pagination-previous.is-disabled,html.theme--documenter-dark .pagination-next[disabled],html.theme--documenter-dark .pagination-next.is-disabled,html.theme--documenter-dark .pagination-link[disabled],html.theme--documenter-dark .pagination-link.is-disabled{background-color:#5e6d6f;border-color:#5e6d6f;box-shadow:none;color:#fff;opacity:0.5}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next{padding-left:.75em;padding-right:.75em;white-space:nowrap}html.theme--documenter-dark .pagination-link.is-current{background-color:#1abc9c;border-color:#1abc9c;color:#fff}html.theme--documenter-dark .pagination-ellipsis{color:#8c9b9d;pointer-events:none}html.theme--documenter-dark .pagination-list{flex-wrap:wrap}html.theme--documenter-dark .pagination-list li{list-style:none}@media screen and (max-width: 768px){html.theme--documenter-dark .pagination{flex-wrap:wrap}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .pagination-list li{flex-grow:1;flex-shrink:1}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .pagination-list{flex-grow:1;flex-shrink:1;justify-content:flex-start;order:1}html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-ellipsis{margin-bottom:0;margin-top:0}html.theme--documenter-dark .pagination-previous{order:2}html.theme--documenter-dark .pagination-next{order:3}html.theme--documenter-dark .pagination{justify-content:space-between;margin-bottom:0;margin-top:0}html.theme--documenter-dark .pagination.is-centered .pagination-previous{order:1}html.theme--documenter-dark .pagination.is-centered .pagination-list{justify-content:center;order:2}html.theme--documenter-dark .pagination.is-centered .pagination-next{order:3}html.theme--documenter-dark .pagination.is-right .pagination-previous{order:1}html.theme--documenter-dark .pagination.is-right .pagination-next{order:2}html.theme--documenter-dark .pagination.is-right .pagination-list{justify-content:flex-end;order:3}}html.theme--documenter-dark .panel{border-radius:8px;box-shadow:#171717;font-size:1rem}html.theme--documenter-dark .panel:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .panel.is-white .panel-heading{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .panel.is-white .panel-tabs a.is-active{border-bottom-color:#fff}html.theme--documenter-dark .panel.is-white .panel-block.is-active .panel-icon{color:#fff}html.theme--documenter-dark .panel.is-black .panel-heading{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .panel.is-black .panel-tabs a.is-active{border-bottom-color:#0a0a0a}html.theme--documenter-dark .panel.is-black .panel-block.is-active .panel-icon{color:#0a0a0a}html.theme--documenter-dark .panel.is-light .panel-heading{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .panel.is-light .panel-tabs a.is-active{border-bottom-color:#ecf0f1}html.theme--documenter-dark .panel.is-light .panel-block.is-active .panel-icon{color:#ecf0f1}html.theme--documenter-dark .panel.is-dark .panel-heading,html.theme--documenter-dark .content kbd.panel .panel-heading{background-color:#282f2f;color:#fff}html.theme--documenter-dark .panel.is-dark .panel-tabs a.is-active,html.theme--documenter-dark .content kbd.panel .panel-tabs a.is-active{border-bottom-color:#282f2f}html.theme--documenter-dark .panel.is-dark .panel-block.is-active .panel-icon,html.theme--documenter-dark .content kbd.panel .panel-block.is-active .panel-icon{color:#282f2f}html.theme--documenter-dark .panel.is-primary .panel-heading,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-heading{background-color:#375a7f;color:#fff}html.theme--documenter-dark .panel.is-primary .panel-tabs a.is-active,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-tabs a.is-active{border-bottom-color:#375a7f}html.theme--documenter-dark .panel.is-primary .panel-block.is-active .panel-icon,html.theme--documenter-dark .docstring>section>a.panel.docs-sourcelink .panel-block.is-active .panel-icon{color:#375a7f}html.theme--documenter-dark .panel.is-link .panel-heading{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .panel.is-link .panel-tabs a.is-active{border-bottom-color:#1abc9c}html.theme--documenter-dark .panel.is-link .panel-block.is-active .panel-icon{color:#1abc9c}html.theme--documenter-dark .panel.is-info .panel-heading{background-color:#024c7d;color:#fff}html.theme--documenter-dark .panel.is-info .panel-tabs a.is-active{border-bottom-color:#024c7d}html.theme--documenter-dark .panel.is-info .panel-block.is-active .panel-icon{color:#024c7d}html.theme--documenter-dark .panel.is-success .panel-heading{background-color:#008438;color:#fff}html.theme--documenter-dark .panel.is-success .panel-tabs a.is-active{border-bottom-color:#008438}html.theme--documenter-dark .panel.is-success .panel-block.is-active .panel-icon{color:#008438}html.theme--documenter-dark .panel.is-warning .panel-heading{background-color:#ad8100;color:#fff}html.theme--documenter-dark .panel.is-warning .panel-tabs a.is-active{border-bottom-color:#ad8100}html.theme--documenter-dark .panel.is-warning .panel-block.is-active .panel-icon{color:#ad8100}html.theme--documenter-dark .panel.is-danger .panel-heading{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .panel.is-danger .panel-tabs a.is-active{border-bottom-color:#9e1b0d}html.theme--documenter-dark .panel.is-danger .panel-block.is-active .panel-icon{color:#9e1b0d}html.theme--documenter-dark .panel-tabs:not(:last-child),html.theme--documenter-dark .panel-block:not(:last-child){border-bottom:1px solid #ededed}html.theme--documenter-dark .panel-heading{background-color:#343c3d;border-radius:8px 8px 0 0;color:#f2f2f2;font-size:1.25em;font-weight:700;line-height:1.25;padding:0.75em 1em}html.theme--documenter-dark .panel-tabs{align-items:flex-end;display:flex;font-size:.875em;justify-content:center}html.theme--documenter-dark .panel-tabs a{border-bottom:1px solid #5e6d6f;margin-bottom:-1px;padding:0.5em}html.theme--documenter-dark .panel-tabs a.is-active{border-bottom-color:#343c3d;color:#17a689}html.theme--documenter-dark .panel-list a{color:#fff}html.theme--documenter-dark .panel-list a:hover{color:#1abc9c}html.theme--documenter-dark .panel-block{align-items:center;color:#f2f2f2;display:flex;justify-content:flex-start;padding:0.5em 0.75em}html.theme--documenter-dark .panel-block input[type="checkbox"]{margin-right:.75em}html.theme--documenter-dark .panel-block>.control{flex-grow:1;flex-shrink:1;width:100%}html.theme--documenter-dark .panel-block.is-wrapped{flex-wrap:wrap}html.theme--documenter-dark .panel-block.is-active{border-left-color:#1abc9c;color:#17a689}html.theme--documenter-dark .panel-block.is-active .panel-icon{color:#1abc9c}html.theme--documenter-dark .panel-block:last-child{border-bottom-left-radius:8px;border-bottom-right-radius:8px}html.theme--documenter-dark a.panel-block,html.theme--documenter-dark label.panel-block{cursor:pointer}html.theme--documenter-dark a.panel-block:hover,html.theme--documenter-dark label.panel-block:hover{background-color:#282f2f}html.theme--documenter-dark .panel-icon{display:inline-block;font-size:14px;height:1em;line-height:1em;text-align:center;vertical-align:top;width:1em;color:#fff;margin-right:.75em}html.theme--documenter-dark .panel-icon .fa{font-size:inherit;line-height:inherit}html.theme--documenter-dark .tabs{-webkit-overflow-scrolling:touch;align-items:stretch;display:flex;font-size:1rem;justify-content:space-between;overflow:hidden;overflow-x:auto;white-space:nowrap}html.theme--documenter-dark .tabs a{align-items:center;border-bottom-color:#5e6d6f;border-bottom-style:solid;border-bottom-width:1px;color:#fff;display:flex;justify-content:center;margin-bottom:-1px;padding:0.5em 1em;vertical-align:top}html.theme--documenter-dark .tabs a:hover{border-bottom-color:#f2f2f2;color:#f2f2f2}html.theme--documenter-dark .tabs li{display:block}html.theme--documenter-dark .tabs li.is-active a{border-bottom-color:#1abc9c;color:#1abc9c}html.theme--documenter-dark .tabs ul{align-items:center;border-bottom-color:#5e6d6f;border-bottom-style:solid;border-bottom-width:1px;display:flex;flex-grow:1;flex-shrink:0;justify-content:flex-start}html.theme--documenter-dark .tabs ul.is-left{padding-right:0.75em}html.theme--documenter-dark .tabs ul.is-center{flex:none;justify-content:center;padding-left:0.75em;padding-right:0.75em}html.theme--documenter-dark .tabs ul.is-right{justify-content:flex-end;padding-left:0.75em}html.theme--documenter-dark .tabs .icon:first-child{margin-right:.5em}html.theme--documenter-dark .tabs .icon:last-child{margin-left:.5em}html.theme--documenter-dark .tabs.is-centered ul{justify-content:center}html.theme--documenter-dark .tabs.is-right ul{justify-content:flex-end}html.theme--documenter-dark .tabs.is-boxed a{border:1px solid transparent;border-radius:.4em .4em 0 0}html.theme--documenter-dark .tabs.is-boxed a:hover{background-color:#282f2f;border-bottom-color:#5e6d6f}html.theme--documenter-dark .tabs.is-boxed li.is-active a{background-color:#fff;border-color:#5e6d6f;border-bottom-color:rgba(0,0,0,0) !important}html.theme--documenter-dark .tabs.is-fullwidth li{flex-grow:1;flex-shrink:0}html.theme--documenter-dark .tabs.is-toggle a{border-color:#5e6d6f;border-style:solid;border-width:1px;margin-bottom:0;position:relative}html.theme--documenter-dark .tabs.is-toggle a:hover{background-color:#282f2f;border-color:#8c9b9d;z-index:2}html.theme--documenter-dark .tabs.is-toggle li+li{margin-left:-1px}html.theme--documenter-dark .tabs.is-toggle li:first-child a{border-top-left-radius:.4em;border-bottom-left-radius:.4em}html.theme--documenter-dark .tabs.is-toggle li:last-child a{border-top-right-radius:.4em;border-bottom-right-radius:.4em}html.theme--documenter-dark .tabs.is-toggle li.is-active a{background-color:#1abc9c;border-color:#1abc9c;color:#fff;z-index:1}html.theme--documenter-dark .tabs.is-toggle ul{border-bottom:none}html.theme--documenter-dark .tabs.is-toggle.is-toggle-rounded li:first-child a{border-bottom-left-radius:9999px;border-top-left-radius:9999px;padding-left:1.25em}html.theme--documenter-dark .tabs.is-toggle.is-toggle-rounded li:last-child a{border-bottom-right-radius:9999px;border-top-right-radius:9999px;padding-right:1.25em}html.theme--documenter-dark .tabs.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.tabs{font-size:.75rem}html.theme--documenter-dark .tabs.is-medium{font-size:1.25rem}html.theme--documenter-dark .tabs.is-large{font-size:1.5rem}html.theme--documenter-dark .column{display:block;flex-basis:0;flex-grow:1;flex-shrink:1;padding:.75rem}.columns.is-mobile>html.theme--documenter-dark .column.is-narrow{flex:none;width:unset}.columns.is-mobile>html.theme--documenter-dark .column.is-full{flex:none;width:100%}.columns.is-mobile>html.theme--documenter-dark .column.is-three-quarters{flex:none;width:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-two-thirds{flex:none;width:66.6666%}.columns.is-mobile>html.theme--documenter-dark .column.is-half{flex:none;width:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-third{flex:none;width:33.3333%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-quarter{flex:none;width:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-one-fifth{flex:none;width:20%}.columns.is-mobile>html.theme--documenter-dark .column.is-two-fifths{flex:none;width:40%}.columns.is-mobile>html.theme--documenter-dark .column.is-three-fifths{flex:none;width:60%}.columns.is-mobile>html.theme--documenter-dark .column.is-four-fifths{flex:none;width:80%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-three-quarters{margin-left:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-two-thirds{margin-left:66.6666%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-half{margin-left:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-third{margin-left:33.3333%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-quarter{margin-left:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-one-fifth{margin-left:20%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-two-fifths{margin-left:40%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-three-fifths{margin-left:60%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-four-fifths{margin-left:80%}.columns.is-mobile>html.theme--documenter-dark .column.is-0{flex:none;width:0%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-0{margin-left:0%}.columns.is-mobile>html.theme--documenter-dark .column.is-1{flex:none;width:8.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-1{margin-left:8.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-2{flex:none;width:16.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-2{margin-left:16.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-3{flex:none;width:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-3{margin-left:25%}.columns.is-mobile>html.theme--documenter-dark .column.is-4{flex:none;width:33.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-4{margin-left:33.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-5{flex:none;width:41.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-5{margin-left:41.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-6{flex:none;width:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-6{margin-left:50%}.columns.is-mobile>html.theme--documenter-dark .column.is-7{flex:none;width:58.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-7{margin-left:58.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-8{flex:none;width:66.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-8{margin-left:66.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-9{flex:none;width:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-9{margin-left:75%}.columns.is-mobile>html.theme--documenter-dark .column.is-10{flex:none;width:83.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-10{margin-left:83.33333337%}.columns.is-mobile>html.theme--documenter-dark .column.is-11{flex:none;width:91.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-11{margin-left:91.66666674%}.columns.is-mobile>html.theme--documenter-dark .column.is-12{flex:none;width:100%}.columns.is-mobile>html.theme--documenter-dark .column.is-offset-12{margin-left:100%}@media screen and (max-width: 768px){html.theme--documenter-dark .column.is-narrow-mobile{flex:none;width:unset}html.theme--documenter-dark .column.is-full-mobile{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-mobile{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-mobile{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-mobile{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-mobile{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-mobile{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-mobile{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-mobile{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-mobile{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-mobile{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-mobile{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-mobile{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-mobile{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-mobile{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-mobile{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-mobile{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-mobile{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-mobile{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-mobile{margin-left:80%}html.theme--documenter-dark .column.is-0-mobile{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-mobile{margin-left:0%}html.theme--documenter-dark .column.is-1-mobile{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-mobile{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-mobile{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-mobile{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-mobile{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-mobile{margin-left:25%}html.theme--documenter-dark .column.is-4-mobile{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-mobile{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-mobile{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-mobile{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-mobile{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-mobile{margin-left:50%}html.theme--documenter-dark .column.is-7-mobile{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-mobile{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-mobile{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-mobile{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-mobile{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-mobile{margin-left:75%}html.theme--documenter-dark .column.is-10-mobile{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-mobile{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-mobile{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-mobile{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-mobile{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-mobile{margin-left:100%}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .column.is-narrow,html.theme--documenter-dark .column.is-narrow-tablet{flex:none;width:unset}html.theme--documenter-dark .column.is-full,html.theme--documenter-dark .column.is-full-tablet{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters,html.theme--documenter-dark .column.is-three-quarters-tablet{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds,html.theme--documenter-dark .column.is-two-thirds-tablet{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half,html.theme--documenter-dark .column.is-half-tablet{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third,html.theme--documenter-dark .column.is-one-third-tablet{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter,html.theme--documenter-dark .column.is-one-quarter-tablet{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth,html.theme--documenter-dark .column.is-one-fifth-tablet{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths,html.theme--documenter-dark .column.is-two-fifths-tablet{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths,html.theme--documenter-dark .column.is-three-fifths-tablet{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths,html.theme--documenter-dark .column.is-four-fifths-tablet{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters,html.theme--documenter-dark .column.is-offset-three-quarters-tablet{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds,html.theme--documenter-dark .column.is-offset-two-thirds-tablet{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half,html.theme--documenter-dark .column.is-offset-half-tablet{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third,html.theme--documenter-dark .column.is-offset-one-third-tablet{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter,html.theme--documenter-dark .column.is-offset-one-quarter-tablet{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth,html.theme--documenter-dark .column.is-offset-one-fifth-tablet{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths,html.theme--documenter-dark .column.is-offset-two-fifths-tablet{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths,html.theme--documenter-dark .column.is-offset-three-fifths-tablet{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths,html.theme--documenter-dark .column.is-offset-four-fifths-tablet{margin-left:80%}html.theme--documenter-dark .column.is-0,html.theme--documenter-dark .column.is-0-tablet{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0,html.theme--documenter-dark .column.is-offset-0-tablet{margin-left:0%}html.theme--documenter-dark .column.is-1,html.theme--documenter-dark .column.is-1-tablet{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1,html.theme--documenter-dark .column.is-offset-1-tablet{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2,html.theme--documenter-dark .column.is-2-tablet{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2,html.theme--documenter-dark .column.is-offset-2-tablet{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3,html.theme--documenter-dark .column.is-3-tablet{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3,html.theme--documenter-dark .column.is-offset-3-tablet{margin-left:25%}html.theme--documenter-dark .column.is-4,html.theme--documenter-dark .column.is-4-tablet{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4,html.theme--documenter-dark .column.is-offset-4-tablet{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5,html.theme--documenter-dark .column.is-5-tablet{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5,html.theme--documenter-dark .column.is-offset-5-tablet{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6,html.theme--documenter-dark .column.is-6-tablet{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6,html.theme--documenter-dark .column.is-offset-6-tablet{margin-left:50%}html.theme--documenter-dark .column.is-7,html.theme--documenter-dark .column.is-7-tablet{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7,html.theme--documenter-dark .column.is-offset-7-tablet{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8,html.theme--documenter-dark .column.is-8-tablet{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8,html.theme--documenter-dark .column.is-offset-8-tablet{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9,html.theme--documenter-dark .column.is-9-tablet{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9,html.theme--documenter-dark .column.is-offset-9-tablet{margin-left:75%}html.theme--documenter-dark .column.is-10,html.theme--documenter-dark .column.is-10-tablet{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10,html.theme--documenter-dark .column.is-offset-10-tablet{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11,html.theme--documenter-dark .column.is-11-tablet{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11,html.theme--documenter-dark .column.is-offset-11-tablet{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12,html.theme--documenter-dark .column.is-12-tablet{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12,html.theme--documenter-dark .column.is-offset-12-tablet{margin-left:100%}}@media screen and (max-width: 1055px){html.theme--documenter-dark .column.is-narrow-touch{flex:none;width:unset}html.theme--documenter-dark .column.is-full-touch{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-touch{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-touch{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-touch{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-touch{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-touch{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-touch{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-touch{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-touch{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-touch{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-touch{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-touch{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-touch{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-touch{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-touch{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-touch{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-touch{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-touch{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-touch{margin-left:80%}html.theme--documenter-dark .column.is-0-touch{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-touch{margin-left:0%}html.theme--documenter-dark .column.is-1-touch{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-touch{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-touch{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-touch{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-touch{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-touch{margin-left:25%}html.theme--documenter-dark .column.is-4-touch{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-touch{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-touch{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-touch{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-touch{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-touch{margin-left:50%}html.theme--documenter-dark .column.is-7-touch{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-touch{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-touch{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-touch{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-touch{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-touch{margin-left:75%}html.theme--documenter-dark .column.is-10-touch{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-touch{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-touch{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-touch{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-touch{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-touch{margin-left:100%}}@media screen and (min-width: 1056px){html.theme--documenter-dark .column.is-narrow-desktop{flex:none;width:unset}html.theme--documenter-dark .column.is-full-desktop{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-desktop{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-desktop{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-desktop{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-desktop{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-desktop{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-desktop{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-desktop{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-desktop{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-desktop{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-desktop{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-desktop{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-desktop{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-desktop{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-desktop{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-desktop{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-desktop{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-desktop{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-desktop{margin-left:80%}html.theme--documenter-dark .column.is-0-desktop{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-desktop{margin-left:0%}html.theme--documenter-dark .column.is-1-desktop{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-desktop{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-desktop{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-desktop{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-desktop{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-desktop{margin-left:25%}html.theme--documenter-dark .column.is-4-desktop{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-desktop{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-desktop{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-desktop{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-desktop{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-desktop{margin-left:50%}html.theme--documenter-dark .column.is-7-desktop{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-desktop{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-desktop{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-desktop{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-desktop{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-desktop{margin-left:75%}html.theme--documenter-dark .column.is-10-desktop{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-desktop{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-desktop{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-desktop{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-desktop{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-desktop{margin-left:100%}}@media screen and (min-width: 1216px){html.theme--documenter-dark .column.is-narrow-widescreen{flex:none;width:unset}html.theme--documenter-dark .column.is-full-widescreen{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-widescreen{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-widescreen{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-widescreen{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-widescreen{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-widescreen{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-widescreen{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-widescreen{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-widescreen{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-widescreen{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-widescreen{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-widescreen{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-widescreen{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-widescreen{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-widescreen{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-widescreen{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-widescreen{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-widescreen{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-widescreen{margin-left:80%}html.theme--documenter-dark .column.is-0-widescreen{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-widescreen{margin-left:0%}html.theme--documenter-dark .column.is-1-widescreen{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-widescreen{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-widescreen{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-widescreen{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-widescreen{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-widescreen{margin-left:25%}html.theme--documenter-dark .column.is-4-widescreen{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-widescreen{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-widescreen{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-widescreen{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-widescreen{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-widescreen{margin-left:50%}html.theme--documenter-dark .column.is-7-widescreen{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-widescreen{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-widescreen{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-widescreen{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-widescreen{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-widescreen{margin-left:75%}html.theme--documenter-dark .column.is-10-widescreen{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-widescreen{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-widescreen{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-widescreen{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-widescreen{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-widescreen{margin-left:100%}}@media screen and (min-width: 1408px){html.theme--documenter-dark .column.is-narrow-fullhd{flex:none;width:unset}html.theme--documenter-dark .column.is-full-fullhd{flex:none;width:100%}html.theme--documenter-dark .column.is-three-quarters-fullhd{flex:none;width:75%}html.theme--documenter-dark .column.is-two-thirds-fullhd{flex:none;width:66.6666%}html.theme--documenter-dark .column.is-half-fullhd{flex:none;width:50%}html.theme--documenter-dark .column.is-one-third-fullhd{flex:none;width:33.3333%}html.theme--documenter-dark .column.is-one-quarter-fullhd{flex:none;width:25%}html.theme--documenter-dark .column.is-one-fifth-fullhd{flex:none;width:20%}html.theme--documenter-dark .column.is-two-fifths-fullhd{flex:none;width:40%}html.theme--documenter-dark .column.is-three-fifths-fullhd{flex:none;width:60%}html.theme--documenter-dark .column.is-four-fifths-fullhd{flex:none;width:80%}html.theme--documenter-dark .column.is-offset-three-quarters-fullhd{margin-left:75%}html.theme--documenter-dark .column.is-offset-two-thirds-fullhd{margin-left:66.6666%}html.theme--documenter-dark .column.is-offset-half-fullhd{margin-left:50%}html.theme--documenter-dark .column.is-offset-one-third-fullhd{margin-left:33.3333%}html.theme--documenter-dark .column.is-offset-one-quarter-fullhd{margin-left:25%}html.theme--documenter-dark .column.is-offset-one-fifth-fullhd{margin-left:20%}html.theme--documenter-dark .column.is-offset-two-fifths-fullhd{margin-left:40%}html.theme--documenter-dark .column.is-offset-three-fifths-fullhd{margin-left:60%}html.theme--documenter-dark .column.is-offset-four-fifths-fullhd{margin-left:80%}html.theme--documenter-dark .column.is-0-fullhd{flex:none;width:0%}html.theme--documenter-dark .column.is-offset-0-fullhd{margin-left:0%}html.theme--documenter-dark .column.is-1-fullhd{flex:none;width:8.33333337%}html.theme--documenter-dark .column.is-offset-1-fullhd{margin-left:8.33333337%}html.theme--documenter-dark .column.is-2-fullhd{flex:none;width:16.66666674%}html.theme--documenter-dark .column.is-offset-2-fullhd{margin-left:16.66666674%}html.theme--documenter-dark .column.is-3-fullhd{flex:none;width:25%}html.theme--documenter-dark .column.is-offset-3-fullhd{margin-left:25%}html.theme--documenter-dark .column.is-4-fullhd{flex:none;width:33.33333337%}html.theme--documenter-dark .column.is-offset-4-fullhd{margin-left:33.33333337%}html.theme--documenter-dark .column.is-5-fullhd{flex:none;width:41.66666674%}html.theme--documenter-dark .column.is-offset-5-fullhd{margin-left:41.66666674%}html.theme--documenter-dark .column.is-6-fullhd{flex:none;width:50%}html.theme--documenter-dark .column.is-offset-6-fullhd{margin-left:50%}html.theme--documenter-dark .column.is-7-fullhd{flex:none;width:58.33333337%}html.theme--documenter-dark .column.is-offset-7-fullhd{margin-left:58.33333337%}html.theme--documenter-dark .column.is-8-fullhd{flex:none;width:66.66666674%}html.theme--documenter-dark .column.is-offset-8-fullhd{margin-left:66.66666674%}html.theme--documenter-dark .column.is-9-fullhd{flex:none;width:75%}html.theme--documenter-dark .column.is-offset-9-fullhd{margin-left:75%}html.theme--documenter-dark .column.is-10-fullhd{flex:none;width:83.33333337%}html.theme--documenter-dark .column.is-offset-10-fullhd{margin-left:83.33333337%}html.theme--documenter-dark .column.is-11-fullhd{flex:none;width:91.66666674%}html.theme--documenter-dark .column.is-offset-11-fullhd{margin-left:91.66666674%}html.theme--documenter-dark .column.is-12-fullhd{flex:none;width:100%}html.theme--documenter-dark .column.is-offset-12-fullhd{margin-left:100%}}html.theme--documenter-dark .columns{margin-left:-.75rem;margin-right:-.75rem;margin-top:-.75rem}html.theme--documenter-dark .columns:last-child{margin-bottom:-.75rem}html.theme--documenter-dark .columns:not(:last-child){margin-bottom:calc(1.5rem - .75rem)}html.theme--documenter-dark .columns.is-centered{justify-content:center}html.theme--documenter-dark .columns.is-gapless{margin-left:0;margin-right:0;margin-top:0}html.theme--documenter-dark .columns.is-gapless>.column{margin:0;padding:0 !important}html.theme--documenter-dark .columns.is-gapless:not(:last-child){margin-bottom:1.5rem}html.theme--documenter-dark .columns.is-gapless:last-child{margin-bottom:0}html.theme--documenter-dark .columns.is-mobile{display:flex}html.theme--documenter-dark .columns.is-multiline{flex-wrap:wrap}html.theme--documenter-dark .columns.is-vcentered{align-items:center}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns:not(.is-desktop){display:flex}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-desktop{display:flex}}html.theme--documenter-dark .columns.is-variable{--columnGap: 0.75rem;margin-left:calc(-1 * var(--columnGap));margin-right:calc(-1 * var(--columnGap))}html.theme--documenter-dark .columns.is-variable>.column{padding-left:var(--columnGap);padding-right:var(--columnGap)}html.theme--documenter-dark .columns.is-variable.is-0{--columnGap: 0rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-0-mobile{--columnGap: 0rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-0-tablet{--columnGap: 0rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-0-tablet-only{--columnGap: 0rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-0-touch{--columnGap: 0rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-0-desktop{--columnGap: 0rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-0-desktop-only{--columnGap: 0rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-0-widescreen{--columnGap: 0rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-0-widescreen-only{--columnGap: 0rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-0-fullhd{--columnGap: 0rem}}html.theme--documenter-dark .columns.is-variable.is-1{--columnGap: .25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-1-mobile{--columnGap: .25rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-1-tablet{--columnGap: .25rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-1-tablet-only{--columnGap: .25rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-1-touch{--columnGap: .25rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-1-desktop{--columnGap: .25rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-1-desktop-only{--columnGap: .25rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-1-widescreen{--columnGap: .25rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-1-widescreen-only{--columnGap: .25rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-1-fullhd{--columnGap: .25rem}}html.theme--documenter-dark .columns.is-variable.is-2{--columnGap: .5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-2-mobile{--columnGap: .5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-2-tablet{--columnGap: .5rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-2-tablet-only{--columnGap: .5rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-2-touch{--columnGap: .5rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-2-desktop{--columnGap: .5rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-2-desktop-only{--columnGap: .5rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-2-widescreen{--columnGap: .5rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-2-widescreen-only{--columnGap: .5rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-2-fullhd{--columnGap: .5rem}}html.theme--documenter-dark .columns.is-variable.is-3{--columnGap: .75rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-3-mobile{--columnGap: .75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-3-tablet{--columnGap: .75rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-3-tablet-only{--columnGap: .75rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-3-touch{--columnGap: .75rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-3-desktop{--columnGap: .75rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-3-desktop-only{--columnGap: .75rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-3-widescreen{--columnGap: .75rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-3-widescreen-only{--columnGap: .75rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-3-fullhd{--columnGap: .75rem}}html.theme--documenter-dark .columns.is-variable.is-4{--columnGap: 1rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-4-mobile{--columnGap: 1rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-4-tablet{--columnGap: 1rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-4-tablet-only{--columnGap: 1rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-4-touch{--columnGap: 1rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-4-desktop{--columnGap: 1rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-4-desktop-only{--columnGap: 1rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-4-widescreen{--columnGap: 1rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-4-widescreen-only{--columnGap: 1rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-4-fullhd{--columnGap: 1rem}}html.theme--documenter-dark .columns.is-variable.is-5{--columnGap: 1.25rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-5-mobile{--columnGap: 1.25rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-5-tablet{--columnGap: 1.25rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-5-tablet-only{--columnGap: 1.25rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-5-touch{--columnGap: 1.25rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-5-desktop{--columnGap: 1.25rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-5-desktop-only{--columnGap: 1.25rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-5-widescreen{--columnGap: 1.25rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-5-widescreen-only{--columnGap: 1.25rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-5-fullhd{--columnGap: 1.25rem}}html.theme--documenter-dark .columns.is-variable.is-6{--columnGap: 1.5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-6-mobile{--columnGap: 1.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-6-tablet{--columnGap: 1.5rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-6-tablet-only{--columnGap: 1.5rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-6-touch{--columnGap: 1.5rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-6-desktop{--columnGap: 1.5rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-6-desktop-only{--columnGap: 1.5rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-6-widescreen{--columnGap: 1.5rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-6-widescreen-only{--columnGap: 1.5rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-6-fullhd{--columnGap: 1.5rem}}html.theme--documenter-dark .columns.is-variable.is-7{--columnGap: 1.75rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-7-mobile{--columnGap: 1.75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-7-tablet{--columnGap: 1.75rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-7-tablet-only{--columnGap: 1.75rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-7-touch{--columnGap: 1.75rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-7-desktop{--columnGap: 1.75rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-7-desktop-only{--columnGap: 1.75rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-7-widescreen{--columnGap: 1.75rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-7-widescreen-only{--columnGap: 1.75rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-7-fullhd{--columnGap: 1.75rem}}html.theme--documenter-dark .columns.is-variable.is-8{--columnGap: 2rem}@media screen and (max-width: 768px){html.theme--documenter-dark .columns.is-variable.is-8-mobile{--columnGap: 2rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .columns.is-variable.is-8-tablet{--columnGap: 2rem}}@media screen and (min-width: 769px) and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-8-tablet-only{--columnGap: 2rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark .columns.is-variable.is-8-touch{--columnGap: 2rem}}@media screen and (min-width: 1056px){html.theme--documenter-dark .columns.is-variable.is-8-desktop{--columnGap: 2rem}}@media screen and (min-width: 1056px) and (max-width: 1215px){html.theme--documenter-dark .columns.is-variable.is-8-desktop-only{--columnGap: 2rem}}@media screen and (min-width: 1216px){html.theme--documenter-dark .columns.is-variable.is-8-widescreen{--columnGap: 2rem}}@media screen and (min-width: 1216px) and (max-width: 1407px){html.theme--documenter-dark .columns.is-variable.is-8-widescreen-only{--columnGap: 2rem}}@media screen and (min-width: 1408px){html.theme--documenter-dark .columns.is-variable.is-8-fullhd{--columnGap: 2rem}}html.theme--documenter-dark .tile{align-items:stretch;display:block;flex-basis:0;flex-grow:1;flex-shrink:1;min-height:min-content}html.theme--documenter-dark .tile.is-ancestor{margin-left:-.75rem;margin-right:-.75rem;margin-top:-.75rem}html.theme--documenter-dark .tile.is-ancestor:last-child{margin-bottom:-.75rem}html.theme--documenter-dark .tile.is-ancestor:not(:last-child){margin-bottom:.75rem}html.theme--documenter-dark .tile.is-child{margin:0 !important}html.theme--documenter-dark .tile.is-parent{padding:.75rem}html.theme--documenter-dark .tile.is-vertical{flex-direction:column}html.theme--documenter-dark .tile.is-vertical>.tile.is-child:not(:last-child){margin-bottom:1.5rem !important}@media screen and (min-width: 769px),print{html.theme--documenter-dark .tile:not(.is-child){display:flex}html.theme--documenter-dark .tile.is-1{flex:none;width:8.33333337%}html.theme--documenter-dark .tile.is-2{flex:none;width:16.66666674%}html.theme--documenter-dark .tile.is-3{flex:none;width:25%}html.theme--documenter-dark .tile.is-4{flex:none;width:33.33333337%}html.theme--documenter-dark .tile.is-5{flex:none;width:41.66666674%}html.theme--documenter-dark .tile.is-6{flex:none;width:50%}html.theme--documenter-dark .tile.is-7{flex:none;width:58.33333337%}html.theme--documenter-dark .tile.is-8{flex:none;width:66.66666674%}html.theme--documenter-dark .tile.is-9{flex:none;width:75%}html.theme--documenter-dark .tile.is-10{flex:none;width:83.33333337%}html.theme--documenter-dark .tile.is-11{flex:none;width:91.66666674%}html.theme--documenter-dark .tile.is-12{flex:none;width:100%}}html.theme--documenter-dark .hero{align-items:stretch;display:flex;flex-direction:column;justify-content:space-between}html.theme--documenter-dark .hero .navbar{background:none}html.theme--documenter-dark .hero .tabs ul{border-bottom:none}html.theme--documenter-dark .hero.is-white{background-color:#fff;color:#0a0a0a}html.theme--documenter-dark .hero.is-white a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-white strong{color:inherit}html.theme--documenter-dark .hero.is-white .title{color:#0a0a0a}html.theme--documenter-dark .hero.is-white .subtitle{color:rgba(10,10,10,0.9)}html.theme--documenter-dark .hero.is-white .subtitle a:not(.button),html.theme--documenter-dark .hero.is-white .subtitle strong{color:#0a0a0a}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-white .navbar-menu{background-color:#fff}}html.theme--documenter-dark .hero.is-white .navbar-item,html.theme--documenter-dark .hero.is-white .navbar-link{color:rgba(10,10,10,0.7)}html.theme--documenter-dark .hero.is-white a.navbar-item:hover,html.theme--documenter-dark .hero.is-white a.navbar-item.is-active,html.theme--documenter-dark .hero.is-white .navbar-link:hover,html.theme--documenter-dark .hero.is-white .navbar-link.is-active{background-color:#f2f2f2;color:#0a0a0a}html.theme--documenter-dark .hero.is-white .tabs a{color:#0a0a0a;opacity:0.9}html.theme--documenter-dark .hero.is-white .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-white .tabs li.is-active a{color:#fff !important;opacity:1}html.theme--documenter-dark .hero.is-white .tabs.is-boxed a,html.theme--documenter-dark .hero.is-white .tabs.is-toggle a{color:#0a0a0a}html.theme--documenter-dark .hero.is-white .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-white .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-white .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-white .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-white .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-white .tabs.is-toggle li.is-active a:hover{background-color:#0a0a0a;border-color:#0a0a0a;color:#fff}html.theme--documenter-dark .hero.is-white.is-bold{background-image:linear-gradient(141deg, #e8e3e4 0%, #fff 71%, #fff 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-white.is-bold .navbar-menu{background-image:linear-gradient(141deg, #e8e3e4 0%, #fff 71%, #fff 100%)}}html.theme--documenter-dark .hero.is-black{background-color:#0a0a0a;color:#fff}html.theme--documenter-dark .hero.is-black a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-black strong{color:inherit}html.theme--documenter-dark .hero.is-black .title{color:#fff}html.theme--documenter-dark .hero.is-black .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-black .subtitle a:not(.button),html.theme--documenter-dark .hero.is-black .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-black .navbar-menu{background-color:#0a0a0a}}html.theme--documenter-dark .hero.is-black .navbar-item,html.theme--documenter-dark .hero.is-black .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-black a.navbar-item:hover,html.theme--documenter-dark .hero.is-black a.navbar-item.is-active,html.theme--documenter-dark .hero.is-black .navbar-link:hover,html.theme--documenter-dark .hero.is-black .navbar-link.is-active{background-color:#000;color:#fff}html.theme--documenter-dark .hero.is-black .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-black .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-black .tabs li.is-active a{color:#0a0a0a !important;opacity:1}html.theme--documenter-dark .hero.is-black .tabs.is-boxed a,html.theme--documenter-dark .hero.is-black .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-black .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-black .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-black .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-black .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-black .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-black .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#0a0a0a}html.theme--documenter-dark .hero.is-black.is-bold{background-image:linear-gradient(141deg, #000 0%, #0a0a0a 71%, #181616 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-black.is-bold .navbar-menu{background-image:linear-gradient(141deg, #000 0%, #0a0a0a 71%, #181616 100%)}}html.theme--documenter-dark .hero.is-light{background-color:#ecf0f1;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-light strong{color:inherit}html.theme--documenter-dark .hero.is-light .title{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .subtitle{color:rgba(0,0,0,0.9)}html.theme--documenter-dark .hero.is-light .subtitle a:not(.button),html.theme--documenter-dark .hero.is-light .subtitle strong{color:rgba(0,0,0,0.7)}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-light .navbar-menu{background-color:#ecf0f1}}html.theme--documenter-dark .hero.is-light .navbar-item,html.theme--documenter-dark .hero.is-light .navbar-link{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light a.navbar-item:hover,html.theme--documenter-dark .hero.is-light a.navbar-item.is-active,html.theme--documenter-dark .hero.is-light .navbar-link:hover,html.theme--documenter-dark .hero.is-light .navbar-link.is-active{background-color:#dde4e6;color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .tabs a{color:rgba(0,0,0,0.7);opacity:0.9}html.theme--documenter-dark .hero.is-light .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-light .tabs li.is-active a{color:#ecf0f1 !important;opacity:1}html.theme--documenter-dark .hero.is-light .tabs.is-boxed a,html.theme--documenter-dark .hero.is-light .tabs.is-toggle a{color:rgba(0,0,0,0.7)}html.theme--documenter-dark .hero.is-light .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-light .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-light .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-light .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-light .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-light .tabs.is-toggle li.is-active a:hover{background-color:rgba(0,0,0,0.7);border-color:rgba(0,0,0,0.7);color:#ecf0f1}html.theme--documenter-dark .hero.is-light.is-bold{background-image:linear-gradient(141deg, #cadfe0 0%, #ecf0f1 71%, #fafbfc 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-light.is-bold .navbar-menu{background-image:linear-gradient(141deg, #cadfe0 0%, #ecf0f1 71%, #fafbfc 100%)}}html.theme--documenter-dark .hero.is-dark,html.theme--documenter-dark .content kbd.hero{background-color:#282f2f;color:#fff}html.theme--documenter-dark .hero.is-dark a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .content kbd.hero a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-dark strong,html.theme--documenter-dark .content kbd.hero strong{color:inherit}html.theme--documenter-dark .hero.is-dark .title,html.theme--documenter-dark .content kbd.hero .title{color:#fff}html.theme--documenter-dark .hero.is-dark .subtitle,html.theme--documenter-dark .content kbd.hero .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-dark .subtitle a:not(.button),html.theme--documenter-dark .content kbd.hero .subtitle a:not(.button),html.theme--documenter-dark .hero.is-dark .subtitle strong,html.theme--documenter-dark .content kbd.hero .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-dark .navbar-menu,html.theme--documenter-dark .content kbd.hero .navbar-menu{background-color:#282f2f}}html.theme--documenter-dark .hero.is-dark .navbar-item,html.theme--documenter-dark .content kbd.hero .navbar-item,html.theme--documenter-dark .hero.is-dark .navbar-link,html.theme--documenter-dark .content kbd.hero .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-dark a.navbar-item:hover,html.theme--documenter-dark .content kbd.hero a.navbar-item:hover,html.theme--documenter-dark .hero.is-dark a.navbar-item.is-active,html.theme--documenter-dark .content kbd.hero a.navbar-item.is-active,html.theme--documenter-dark .hero.is-dark .navbar-link:hover,html.theme--documenter-dark .content kbd.hero .navbar-link:hover,html.theme--documenter-dark .hero.is-dark .navbar-link.is-active,html.theme--documenter-dark .content kbd.hero .navbar-link.is-active{background-color:#1d2122;color:#fff}html.theme--documenter-dark .hero.is-dark .tabs a,html.theme--documenter-dark .content kbd.hero .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-dark .tabs a:hover,html.theme--documenter-dark .content kbd.hero .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-dark .tabs li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs li.is-active a{color:#282f2f !important;opacity:1}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed a,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed a,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle a,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed a:hover,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle a:hover,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-dark .tabs.is-boxed li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-dark .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle li.is-active a,html.theme--documenter-dark .content kbd.hero .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-dark .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#282f2f}html.theme--documenter-dark .hero.is-dark.is-bold,html.theme--documenter-dark .content kbd.hero.is-bold{background-image:linear-gradient(141deg, #0f1615 0%, #282f2f 71%, #313c40 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-dark.is-bold .navbar-menu,html.theme--documenter-dark .content kbd.hero.is-bold .navbar-menu{background-image:linear-gradient(141deg, #0f1615 0%, #282f2f 71%, #313c40 100%)}}html.theme--documenter-dark .hero.is-primary,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink{background-color:#375a7f;color:#fff}html.theme--documenter-dark .hero.is-primary a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-primary strong,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink strong{color:inherit}html.theme--documenter-dark .hero.is-primary .title,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .title{color:#fff}html.theme--documenter-dark .hero.is-primary .subtitle,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-primary .subtitle a:not(.button),html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle a:not(.button),html.theme--documenter-dark .hero.is-primary .subtitle strong,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-primary .navbar-menu,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-menu{background-color:#375a7f}}html.theme--documenter-dark .hero.is-primary .navbar-item,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-item,html.theme--documenter-dark .hero.is-primary .navbar-link,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-primary a.navbar-item:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a.navbar-item:hover,html.theme--documenter-dark .hero.is-primary a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink a.navbar-item.is-active,html.theme--documenter-dark .hero.is-primary .navbar-link:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link:hover,html.theme--documenter-dark .hero.is-primary .navbar-link.is-active,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar-link.is-active{background-color:#2f4d6d;color:#fff}html.theme--documenter-dark .hero.is-primary .tabs a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-primary .tabs a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-primary .tabs li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs li.is-active a{color:#375a7f !important;opacity:1}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed a,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle a:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-primary .tabs.is-boxed li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-primary .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle li.is-active a,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-primary .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#375a7f}html.theme--documenter-dark .hero.is-primary.is-bold,html.theme--documenter-dark .docstring>section>a.hero.is-bold.docs-sourcelink{background-image:linear-gradient(141deg, #214b62 0%, #375a7f 71%, #3a5796 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-primary.is-bold .navbar-menu,html.theme--documenter-dark .docstring>section>a.hero.is-bold.docs-sourcelink .navbar-menu{background-image:linear-gradient(141deg, #214b62 0%, #375a7f 71%, #3a5796 100%)}}html.theme--documenter-dark .hero.is-link{background-color:#1abc9c;color:#fff}html.theme--documenter-dark .hero.is-link a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-link strong{color:inherit}html.theme--documenter-dark .hero.is-link .title{color:#fff}html.theme--documenter-dark .hero.is-link .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-link .subtitle a:not(.button),html.theme--documenter-dark .hero.is-link .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-link .navbar-menu{background-color:#1abc9c}}html.theme--documenter-dark .hero.is-link .navbar-item,html.theme--documenter-dark .hero.is-link .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-link a.navbar-item:hover,html.theme--documenter-dark .hero.is-link a.navbar-item.is-active,html.theme--documenter-dark .hero.is-link .navbar-link:hover,html.theme--documenter-dark .hero.is-link .navbar-link.is-active{background-color:#17a689;color:#fff}html.theme--documenter-dark .hero.is-link .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-link .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-link .tabs li.is-active a{color:#1abc9c !important;opacity:1}html.theme--documenter-dark .hero.is-link .tabs.is-boxed a,html.theme--documenter-dark .hero.is-link .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-link .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-link .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-link .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-link .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-link .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-link .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#1abc9c}html.theme--documenter-dark .hero.is-link.is-bold{background-image:linear-gradient(141deg, #0c9764 0%, #1abc9c 71%, #17d8d2 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-link.is-bold .navbar-menu{background-image:linear-gradient(141deg, #0c9764 0%, #1abc9c 71%, #17d8d2 100%)}}html.theme--documenter-dark .hero.is-info{background-color:#024c7d;color:#fff}html.theme--documenter-dark .hero.is-info a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-info strong{color:inherit}html.theme--documenter-dark .hero.is-info .title{color:#fff}html.theme--documenter-dark .hero.is-info .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-info .subtitle a:not(.button),html.theme--documenter-dark .hero.is-info .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-info .navbar-menu{background-color:#024c7d}}html.theme--documenter-dark .hero.is-info .navbar-item,html.theme--documenter-dark .hero.is-info .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-info a.navbar-item:hover,html.theme--documenter-dark .hero.is-info a.navbar-item.is-active,html.theme--documenter-dark .hero.is-info .navbar-link:hover,html.theme--documenter-dark .hero.is-info .navbar-link.is-active{background-color:#023d64;color:#fff}html.theme--documenter-dark .hero.is-info .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-info .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-info .tabs li.is-active a{color:#024c7d !important;opacity:1}html.theme--documenter-dark .hero.is-info .tabs.is-boxed a,html.theme--documenter-dark .hero.is-info .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-info .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-info .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-info .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-info .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-info .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-info .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#024c7d}html.theme--documenter-dark .hero.is-info.is-bold{background-image:linear-gradient(141deg, #003a4c 0%, #024c7d 71%, #004299 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-info.is-bold .navbar-menu{background-image:linear-gradient(141deg, #003a4c 0%, #024c7d 71%, #004299 100%)}}html.theme--documenter-dark .hero.is-success{background-color:#008438;color:#fff}html.theme--documenter-dark .hero.is-success a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-success strong{color:inherit}html.theme--documenter-dark .hero.is-success .title{color:#fff}html.theme--documenter-dark .hero.is-success .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-success .subtitle a:not(.button),html.theme--documenter-dark .hero.is-success .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-success .navbar-menu{background-color:#008438}}html.theme--documenter-dark .hero.is-success .navbar-item,html.theme--documenter-dark .hero.is-success .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-success a.navbar-item:hover,html.theme--documenter-dark .hero.is-success a.navbar-item.is-active,html.theme--documenter-dark .hero.is-success .navbar-link:hover,html.theme--documenter-dark .hero.is-success .navbar-link.is-active{background-color:#006b2d;color:#fff}html.theme--documenter-dark .hero.is-success .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-success .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-success .tabs li.is-active a{color:#008438 !important;opacity:1}html.theme--documenter-dark .hero.is-success .tabs.is-boxed a,html.theme--documenter-dark .hero.is-success .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-success .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-success .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-success .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-success .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-success .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-success .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#008438}html.theme--documenter-dark .hero.is-success.is-bold{background-image:linear-gradient(141deg, #005115 0%, #008438 71%, #009e5d 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-success.is-bold .navbar-menu{background-image:linear-gradient(141deg, #005115 0%, #008438 71%, #009e5d 100%)}}html.theme--documenter-dark .hero.is-warning{background-color:#ad8100;color:#fff}html.theme--documenter-dark .hero.is-warning a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-warning strong{color:inherit}html.theme--documenter-dark .hero.is-warning .title{color:#fff}html.theme--documenter-dark .hero.is-warning .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-warning .subtitle a:not(.button),html.theme--documenter-dark .hero.is-warning .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-warning .navbar-menu{background-color:#ad8100}}html.theme--documenter-dark .hero.is-warning .navbar-item,html.theme--documenter-dark .hero.is-warning .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-warning a.navbar-item:hover,html.theme--documenter-dark .hero.is-warning a.navbar-item.is-active,html.theme--documenter-dark .hero.is-warning .navbar-link:hover,html.theme--documenter-dark .hero.is-warning .navbar-link.is-active{background-color:#946e00;color:#fff}html.theme--documenter-dark .hero.is-warning .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-warning .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-warning .tabs li.is-active a{color:#ad8100 !important;opacity:1}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed a,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-warning .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-warning .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-warning .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#ad8100}html.theme--documenter-dark .hero.is-warning.is-bold{background-image:linear-gradient(141deg, #7a4700 0%, #ad8100 71%, #c7b500 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-warning.is-bold .navbar-menu{background-image:linear-gradient(141deg, #7a4700 0%, #ad8100 71%, #c7b500 100%)}}html.theme--documenter-dark .hero.is-danger{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .hero.is-danger a:not(.button):not(.dropdown-item):not(.tag):not(.pagination-link.is-current),html.theme--documenter-dark .hero.is-danger strong{color:inherit}html.theme--documenter-dark .hero.is-danger .title{color:#fff}html.theme--documenter-dark .hero.is-danger .subtitle{color:rgba(255,255,255,0.9)}html.theme--documenter-dark .hero.is-danger .subtitle a:not(.button),html.theme--documenter-dark .hero.is-danger .subtitle strong{color:#fff}@media screen and (max-width: 1055px){html.theme--documenter-dark .hero.is-danger .navbar-menu{background-color:#9e1b0d}}html.theme--documenter-dark .hero.is-danger .navbar-item,html.theme--documenter-dark .hero.is-danger .navbar-link{color:rgba(255,255,255,0.7)}html.theme--documenter-dark .hero.is-danger a.navbar-item:hover,html.theme--documenter-dark .hero.is-danger a.navbar-item.is-active,html.theme--documenter-dark .hero.is-danger .navbar-link:hover,html.theme--documenter-dark .hero.is-danger .navbar-link.is-active{background-color:#86170b;color:#fff}html.theme--documenter-dark .hero.is-danger .tabs a{color:#fff;opacity:0.9}html.theme--documenter-dark .hero.is-danger .tabs a:hover{opacity:1}html.theme--documenter-dark .hero.is-danger .tabs li.is-active a{color:#9e1b0d !important;opacity:1}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed a,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle a{color:#fff}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed a:hover,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle a:hover{background-color:rgba(10,10,10,0.1)}html.theme--documenter-dark .hero.is-danger .tabs.is-boxed li.is-active a,html.theme--documenter-dark .hero.is-danger .tabs.is-boxed li.is-active a:hover,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle li.is-active a,html.theme--documenter-dark .hero.is-danger .tabs.is-toggle li.is-active a:hover{background-color:#fff;border-color:#fff;color:#9e1b0d}html.theme--documenter-dark .hero.is-danger.is-bold{background-image:linear-gradient(141deg, #75030b 0%, #9e1b0d 71%, #ba380a 100%)}@media screen and (max-width: 768px){html.theme--documenter-dark .hero.is-danger.is-bold .navbar-menu{background-image:linear-gradient(141deg, #75030b 0%, #9e1b0d 71%, #ba380a 100%)}}html.theme--documenter-dark .hero.is-small .hero-body,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.hero .hero-body{padding:1.5rem}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero.is-medium .hero-body{padding:9rem 4.5rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero.is-large .hero-body{padding:18rem 6rem}}html.theme--documenter-dark .hero.is-halfheight .hero-body,html.theme--documenter-dark .hero.is-fullheight .hero-body,html.theme--documenter-dark .hero.is-fullheight-with-navbar .hero-body{align-items:center;display:flex}html.theme--documenter-dark .hero.is-halfheight .hero-body>.container,html.theme--documenter-dark .hero.is-fullheight .hero-body>.container,html.theme--documenter-dark .hero.is-fullheight-with-navbar .hero-body>.container{flex-grow:1;flex-shrink:1}html.theme--documenter-dark .hero.is-halfheight{min-height:50vh}html.theme--documenter-dark .hero.is-fullheight{min-height:100vh}html.theme--documenter-dark .hero-video{overflow:hidden}html.theme--documenter-dark .hero-video video{left:50%;min-height:100%;min-width:100%;position:absolute;top:50%;transform:translate3d(-50%, -50%, 0)}html.theme--documenter-dark .hero-video.is-transparent{opacity:0.3}@media screen and (max-width: 768px){html.theme--documenter-dark .hero-video{display:none}}html.theme--documenter-dark .hero-buttons{margin-top:1.5rem}@media screen and (max-width: 768px){html.theme--documenter-dark .hero-buttons .button{display:flex}html.theme--documenter-dark .hero-buttons .button:not(:last-child){margin-bottom:0.75rem}}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero-buttons{display:flex;justify-content:center}html.theme--documenter-dark .hero-buttons .button:not(:last-child){margin-right:1.5rem}}html.theme--documenter-dark .hero-head,html.theme--documenter-dark .hero-foot{flex-grow:0;flex-shrink:0}html.theme--documenter-dark .hero-body{flex-grow:1;flex-shrink:0;padding:3rem 1.5rem}@media screen and (min-width: 769px),print{html.theme--documenter-dark .hero-body{padding:3rem 3rem}}html.theme--documenter-dark .section{padding:3rem 1.5rem}@media screen and (min-width: 1056px){html.theme--documenter-dark .section{padding:3rem 3rem}html.theme--documenter-dark .section.is-medium{padding:9rem 4.5rem}html.theme--documenter-dark .section.is-large{padding:18rem 6rem}}html.theme--documenter-dark .footer{background-color:#282f2f;padding:3rem 1.5rem 6rem}html.theme--documenter-dark hr{height:1px}html.theme--documenter-dark h6{text-transform:uppercase;letter-spacing:0.5px}html.theme--documenter-dark .hero{background-color:#343c3d}html.theme--documenter-dark a{transition:all 200ms ease}html.theme--documenter-dark .button{transition:all 200ms ease;border-width:1px;color:#fff}html.theme--documenter-dark .button.is-active,html.theme--documenter-dark .button.is-focused,html.theme--documenter-dark .button:active,html.theme--documenter-dark .button:focus{box-shadow:0 0 0 2px rgba(140,155,157,0.5)}html.theme--documenter-dark .button.is-white.is-hovered,html.theme--documenter-dark .button.is-white:hover{background-color:#fff}html.theme--documenter-dark .button.is-white.is-active,html.theme--documenter-dark .button.is-white.is-focused,html.theme--documenter-dark .button.is-white:active,html.theme--documenter-dark .button.is-white:focus{border-color:#fff;box-shadow:0 0 0 2px rgba(255,255,255,0.5)}html.theme--documenter-dark .button.is-black.is-hovered,html.theme--documenter-dark .button.is-black:hover{background-color:#1d1d1d}html.theme--documenter-dark .button.is-black.is-active,html.theme--documenter-dark .button.is-black.is-focused,html.theme--documenter-dark .button.is-black:active,html.theme--documenter-dark .button.is-black:focus{border-color:#0a0a0a;box-shadow:0 0 0 2px rgba(10,10,10,0.5)}html.theme--documenter-dark .button.is-light.is-hovered,html.theme--documenter-dark .button.is-light:hover{background-color:#fff}html.theme--documenter-dark .button.is-light.is-active,html.theme--documenter-dark .button.is-light.is-focused,html.theme--documenter-dark .button.is-light:active,html.theme--documenter-dark .button.is-light:focus{border-color:#ecf0f1;box-shadow:0 0 0 2px rgba(236,240,241,0.5)}html.theme--documenter-dark .button.is-dark.is-hovered,html.theme--documenter-dark .content kbd.button.is-hovered,html.theme--documenter-dark .button.is-dark:hover,html.theme--documenter-dark .content kbd.button:hover{background-color:#3a4344}html.theme--documenter-dark .button.is-dark.is-active,html.theme--documenter-dark .content kbd.button.is-active,html.theme--documenter-dark .button.is-dark.is-focused,html.theme--documenter-dark .content kbd.button.is-focused,html.theme--documenter-dark .button.is-dark:active,html.theme--documenter-dark .content kbd.button:active,html.theme--documenter-dark .button.is-dark:focus,html.theme--documenter-dark .content kbd.button:focus{border-color:#282f2f;box-shadow:0 0 0 2px rgba(40,47,47,0.5)}html.theme--documenter-dark .button.is-primary.is-hovered,html.theme--documenter-dark .docstring>section>a.button.is-hovered.docs-sourcelink,html.theme--documenter-dark .button.is-primary:hover,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:hover{background-color:#436d9a}html.theme--documenter-dark .button.is-primary.is-active,html.theme--documenter-dark .docstring>section>a.button.is-active.docs-sourcelink,html.theme--documenter-dark .button.is-primary.is-focused,html.theme--documenter-dark .docstring>section>a.button.is-focused.docs-sourcelink,html.theme--documenter-dark .button.is-primary:active,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:active,html.theme--documenter-dark .button.is-primary:focus,html.theme--documenter-dark .docstring>section>a.button.docs-sourcelink:focus{border-color:#375a7f;box-shadow:0 0 0 2px rgba(55,90,127,0.5)}html.theme--documenter-dark .button.is-link.is-hovered,html.theme--documenter-dark .button.is-link:hover{background-color:#1fdeb8}html.theme--documenter-dark .button.is-link.is-active,html.theme--documenter-dark .button.is-link.is-focused,html.theme--documenter-dark .button.is-link:active,html.theme--documenter-dark .button.is-link:focus{border-color:#1abc9c;box-shadow:0 0 0 2px rgba(26,188,156,0.5)}html.theme--documenter-dark .button.is-info.is-hovered,html.theme--documenter-dark .button.is-info:hover{background-color:#0363a3}html.theme--documenter-dark .button.is-info.is-active,html.theme--documenter-dark .button.is-info.is-focused,html.theme--documenter-dark .button.is-info:active,html.theme--documenter-dark .button.is-info:focus{border-color:#024c7d;box-shadow:0 0 0 2px rgba(2,76,125,0.5)}html.theme--documenter-dark .button.is-success.is-hovered,html.theme--documenter-dark .button.is-success:hover{background-color:#00aa48}html.theme--documenter-dark .button.is-success.is-active,html.theme--documenter-dark .button.is-success.is-focused,html.theme--documenter-dark .button.is-success:active,html.theme--documenter-dark .button.is-success:focus{border-color:#008438;box-shadow:0 0 0 2px rgba(0,132,56,0.5)}html.theme--documenter-dark .button.is-warning.is-hovered,html.theme--documenter-dark .button.is-warning:hover{background-color:#d39e00}html.theme--documenter-dark .button.is-warning.is-active,html.theme--documenter-dark .button.is-warning.is-focused,html.theme--documenter-dark .button.is-warning:active,html.theme--documenter-dark .button.is-warning:focus{border-color:#ad8100;box-shadow:0 0 0 2px rgba(173,129,0,0.5)}html.theme--documenter-dark .button.is-danger.is-hovered,html.theme--documenter-dark .button.is-danger:hover{background-color:#c12110}html.theme--documenter-dark .button.is-danger.is-active,html.theme--documenter-dark .button.is-danger.is-focused,html.theme--documenter-dark .button.is-danger:active,html.theme--documenter-dark .button.is-danger:focus{border-color:#9e1b0d;box-shadow:0 0 0 2px rgba(158,27,13,0.5)}html.theme--documenter-dark .label{color:#dbdee0}html.theme--documenter-dark .button,html.theme--documenter-dark .control.has-icons-left .icon,html.theme--documenter-dark .control.has-icons-right .icon,html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark .pagination-ellipsis,html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-previous,html.theme--documenter-dark .select,html.theme--documenter-dark .select select,html.theme--documenter-dark .textarea{height:2.5em}html.theme--documenter-dark .input,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark .textarea{transition:all 200ms ease;box-shadow:none;border-width:1px;padding-left:1em;padding-right:1em}html.theme--documenter-dark .select:after,html.theme--documenter-dark .select select{border-width:1px}html.theme--documenter-dark .control.has-addons .button,html.theme--documenter-dark .control.has-addons .input,html.theme--documenter-dark .control.has-addons #documenter .docs-sidebar form.docs-search>input,html.theme--documenter-dark #documenter .docs-sidebar .control.has-addons form.docs-search>input,html.theme--documenter-dark .control.has-addons .select{margin-right:-1px}html.theme--documenter-dark .notification{background-color:#343c3d}html.theme--documenter-dark .card{box-shadow:none;border:1px solid #343c3d;background-color:#282f2f;border-radius:.4em}html.theme--documenter-dark .card .card-image img{border-radius:.4em .4em 0 0}html.theme--documenter-dark .card .card-header{box-shadow:none;background-color:rgba(18,18,18,0.2);border-radius:.4em .4em 0 0}html.theme--documenter-dark .card .card-footer{background-color:rgba(18,18,18,0.2)}html.theme--documenter-dark .card .card-footer,html.theme--documenter-dark .card .card-footer-item{border-width:1px;border-color:#343c3d}html.theme--documenter-dark .notification.is-white a:not(.button){color:#0a0a0a;text-decoration:underline}html.theme--documenter-dark .notification.is-black a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-light a:not(.button){color:rgba(0,0,0,0.7);text-decoration:underline}html.theme--documenter-dark .notification.is-dark a:not(.button),html.theme--documenter-dark .content kbd.notification a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-primary a:not(.button),html.theme--documenter-dark .docstring>section>a.notification.docs-sourcelink a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-link a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-info a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-success a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-warning a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .notification.is-danger a:not(.button){color:#fff;text-decoration:underline}html.theme--documenter-dark .tag,html.theme--documenter-dark .content kbd,html.theme--documenter-dark .docstring>section>a.docs-sourcelink{border-radius:.4em}html.theme--documenter-dark .menu-list a{transition:all 300ms ease}html.theme--documenter-dark .modal-card-body{background-color:#282f2f}html.theme--documenter-dark .modal-card-foot,html.theme--documenter-dark .modal-card-head{border-color:#343c3d}html.theme--documenter-dark .message-header{font-weight:700;background-color:#343c3d;color:#fff}html.theme--documenter-dark .message-body{border-width:1px;border-color:#343c3d}html.theme--documenter-dark .navbar{border-radius:.4em}html.theme--documenter-dark .navbar.is-transparent{background:none}html.theme--documenter-dark .navbar.is-primary .navbar-dropdown a.navbar-item.is-active,html.theme--documenter-dark .docstring>section>a.navbar.docs-sourcelink .navbar-dropdown a.navbar-item.is-active{background-color:#1abc9c}@media screen and (max-width: 1055px){html.theme--documenter-dark .navbar .navbar-menu{background-color:#375a7f;border-radius:0 0 .4em .4em}}html.theme--documenter-dark .hero .navbar,html.theme--documenter-dark body>.navbar{border-radius:0}html.theme--documenter-dark .pagination-link,html.theme--documenter-dark .pagination-next,html.theme--documenter-dark .pagination-previous{border-width:1px}html.theme--documenter-dark .panel-block,html.theme--documenter-dark .panel-heading,html.theme--documenter-dark .panel-tabs{border-width:1px}html.theme--documenter-dark .panel-block:first-child,html.theme--documenter-dark .panel-heading:first-child,html.theme--documenter-dark .panel-tabs:first-child{border-top-width:1px}html.theme--documenter-dark .panel-heading{font-weight:700}html.theme--documenter-dark .panel-tabs a{border-width:1px;margin-bottom:-1px}html.theme--documenter-dark .panel-tabs a.is-active{border-bottom-color:#17a689}html.theme--documenter-dark .panel-block:hover{color:#1dd2af}html.theme--documenter-dark .panel-block:hover .panel-icon{color:#1dd2af}html.theme--documenter-dark .panel-block.is-active .panel-icon{color:#17a689}html.theme--documenter-dark .tabs a{border-bottom-width:1px;margin-bottom:-1px}html.theme--documenter-dark .tabs ul{border-bottom-width:1px}html.theme--documenter-dark .tabs.is-boxed a{border-width:1px}html.theme--documenter-dark .tabs.is-boxed li.is-active a{background-color:#1f2424}html.theme--documenter-dark .tabs.is-toggle li a{border-width:1px;margin-bottom:0}html.theme--documenter-dark .tabs.is-toggle li+li{margin-left:-1px}html.theme--documenter-dark .hero.is-white .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-black .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-light .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-dark .navbar .navbar-dropdown .navbar-item:hover,html.theme--documenter-dark .content kbd.hero .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-primary .navbar .navbar-dropdown .navbar-item:hover,html.theme--documenter-dark .docstring>section>a.hero.docs-sourcelink .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-link .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-info .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-success .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-warning .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark .hero.is-danger .navbar .navbar-dropdown .navbar-item:hover{background-color:rgba(0,0,0,0)}html.theme--documenter-dark h1 .docs-heading-anchor,html.theme--documenter-dark h1 .docs-heading-anchor:hover,html.theme--documenter-dark h1 .docs-heading-anchor:visited,html.theme--documenter-dark h2 .docs-heading-anchor,html.theme--documenter-dark h2 .docs-heading-anchor:hover,html.theme--documenter-dark h2 .docs-heading-anchor:visited,html.theme--documenter-dark h3 .docs-heading-anchor,html.theme--documenter-dark h3 .docs-heading-anchor:hover,html.theme--documenter-dark h3 .docs-heading-anchor:visited,html.theme--documenter-dark h4 .docs-heading-anchor,html.theme--documenter-dark h4 .docs-heading-anchor:hover,html.theme--documenter-dark h4 .docs-heading-anchor:visited,html.theme--documenter-dark h5 .docs-heading-anchor,html.theme--documenter-dark h5 .docs-heading-anchor:hover,html.theme--documenter-dark h5 .docs-heading-anchor:visited,html.theme--documenter-dark h6 .docs-heading-anchor,html.theme--documenter-dark h6 .docs-heading-anchor:hover,html.theme--documenter-dark h6 .docs-heading-anchor:visited{color:#f2f2f2}html.theme--documenter-dark h1 .docs-heading-anchor-permalink,html.theme--documenter-dark h2 .docs-heading-anchor-permalink,html.theme--documenter-dark h3 .docs-heading-anchor-permalink,html.theme--documenter-dark h4 .docs-heading-anchor-permalink,html.theme--documenter-dark h5 .docs-heading-anchor-permalink,html.theme--documenter-dark h6 .docs-heading-anchor-permalink{visibility:hidden;vertical-align:middle;margin-left:0.5em;font-size:0.7rem}html.theme--documenter-dark h1 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h2 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h3 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h4 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h5 .docs-heading-anchor-permalink::before,html.theme--documenter-dark h6 .docs-heading-anchor-permalink::before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f0c1"}html.theme--documenter-dark h1:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h2:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h3:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h4:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h5:hover .docs-heading-anchor-permalink,html.theme--documenter-dark h6:hover .docs-heading-anchor-permalink{visibility:visible}html.theme--documenter-dark .docs-light-only{display:none !important}html.theme--documenter-dark pre{position:relative;overflow:hidden}html.theme--documenter-dark pre code,html.theme--documenter-dark pre code.hljs{padding:0 .75rem !important;overflow:auto;display:block}html.theme--documenter-dark pre code:first-of-type,html.theme--documenter-dark pre code.hljs:first-of-type{padding-top:0.5rem !important}html.theme--documenter-dark pre code:last-of-type,html.theme--documenter-dark pre code.hljs:last-of-type{padding-bottom:0.5rem !important}html.theme--documenter-dark pre .copy-button{opacity:0.2;transition:opacity 0.2s;position:absolute;right:0em;top:0em;padding:0.5em;width:2.5em;height:2.5em;background:transparent;border:none;font-family:"Font Awesome 6 Free";color:#fff;cursor:pointer;text-align:center}html.theme--documenter-dark pre .copy-button:focus,html.theme--documenter-dark pre .copy-button:hover{opacity:1;background:rgba(255,255,255,0.1);color:#1abc9c}html.theme--documenter-dark pre .copy-button.success{color:#259a12;opacity:1}html.theme--documenter-dark pre .copy-button.error{color:#cb3c33;opacity:1}html.theme--documenter-dark pre:hover .copy-button{opacity:1}html.theme--documenter-dark .admonition{background-color:#282f2f;border-style:solid;border-width:1px;border-color:#5e6d6f;border-radius:.4em;font-size:1rem}html.theme--documenter-dark .admonition strong{color:currentColor}html.theme--documenter-dark .admonition.is-small,html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input.admonition{font-size:.75rem}html.theme--documenter-dark .admonition.is-medium{font-size:1.25rem}html.theme--documenter-dark .admonition.is-large{font-size:1.5rem}html.theme--documenter-dark .admonition.is-default{background-color:#282f2f;border-color:#5e6d6f}html.theme--documenter-dark .admonition.is-default>.admonition-header{background-color:#5e6d6f;color:#fff}html.theme--documenter-dark .admonition.is-default>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-info{background-color:#282f2f;border-color:#024c7d}html.theme--documenter-dark .admonition.is-info>.admonition-header{background-color:#024c7d;color:#fff}html.theme--documenter-dark .admonition.is-info>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-success{background-color:#282f2f;border-color:#008438}html.theme--documenter-dark .admonition.is-success>.admonition-header{background-color:#008438;color:#fff}html.theme--documenter-dark .admonition.is-success>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-warning{background-color:#282f2f;border-color:#ad8100}html.theme--documenter-dark .admonition.is-warning>.admonition-header{background-color:#ad8100;color:#fff}html.theme--documenter-dark .admonition.is-warning>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-danger{background-color:#282f2f;border-color:#9e1b0d}html.theme--documenter-dark .admonition.is-danger>.admonition-header{background-color:#9e1b0d;color:#fff}html.theme--documenter-dark .admonition.is-danger>.admonition-body{color:#fff}html.theme--documenter-dark .admonition.is-compat{background-color:#282f2f;border-color:#137886}html.theme--documenter-dark .admonition.is-compat>.admonition-header{background-color:#137886;color:#fff}html.theme--documenter-dark .admonition.is-compat>.admonition-body{color:#fff}html.theme--documenter-dark .admonition-header{color:#fff;background-color:#5e6d6f;align-items:center;font-weight:700;justify-content:space-between;line-height:1.25;padding:0.5rem .75rem;position:relative}html.theme--documenter-dark .admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;margin-right:.75rem;content:"\f06a"}html.theme--documenter-dark details.admonition.is-details>.admonition-header{list-style:none}html.theme--documenter-dark details.admonition.is-details>.admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f055"}html.theme--documenter-dark details.admonition.is-details[open]>.admonition-header:before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f056"}html.theme--documenter-dark .admonition-body{color:#fff;padding:0.5rem .75rem}html.theme--documenter-dark .admonition-body pre{background-color:#282f2f}html.theme--documenter-dark .admonition-body code{background-color:rgba(255,255,255,0.05)}html.theme--documenter-dark .docstring{margin-bottom:1em;background-color:rgba(0,0,0,0);border:1px solid #5e6d6f;box-shadow:none;max-width:100%}html.theme--documenter-dark .docstring>header{cursor:pointer;display:flex;flex-grow:1;align-items:stretch;padding:0.5rem .75rem;background-color:#282f2f;box-shadow:0 0.125em 0.25em rgba(10,10,10,0.1);box-shadow:none;border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .docstring>header code{background-color:transparent}html.theme--documenter-dark .docstring>header .docstring-article-toggle-button{min-width:1.1rem;padding:0.2rem 0.2rem 0.2rem 0}html.theme--documenter-dark .docstring>header .docstring-binding{margin-right:0.3em}html.theme--documenter-dark .docstring>header .docstring-category{margin-left:0.3em}html.theme--documenter-dark .docstring>section{position:relative;padding:.75rem .75rem;border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .docstring>section:last-child{border-bottom:none}html.theme--documenter-dark .docstring>section>a.docs-sourcelink{transition:opacity 0.3s;opacity:0;position:absolute;right:.375rem;bottom:.375rem}html.theme--documenter-dark .docstring>section>a.docs-sourcelink:focus{opacity:1 !important}html.theme--documenter-dark .docstring:hover>section>a.docs-sourcelink{opacity:0.2}html.theme--documenter-dark .docstring:focus-within>section>a.docs-sourcelink{opacity:0.2}html.theme--documenter-dark .docstring>section:hover a.docs-sourcelink{opacity:1}html.theme--documenter-dark .documenter-example-output{background-color:#1f2424}html.theme--documenter-dark .outdated-warning-overlay{position:fixed;top:0;left:0;right:0;box-shadow:0 0 10px rgba(0,0,0,0.3);z-index:999;background-color:#282f2f;color:#fff;border-bottom:3px solid #9e1b0d;padding:10px 35px;text-align:center;font-size:15px}html.theme--documenter-dark .outdated-warning-overlay .outdated-warning-closer{position:absolute;top:calc(50% - 10px);right:18px;cursor:pointer;width:12px}html.theme--documenter-dark .outdated-warning-overlay a{color:#1abc9c}html.theme--documenter-dark .outdated-warning-overlay a:hover{color:#1dd2af}html.theme--documenter-dark .content pre{border:1px solid #5e6d6f}html.theme--documenter-dark .content code{font-weight:inherit}html.theme--documenter-dark .content a code{color:#1abc9c}html.theme--documenter-dark .content h1 code,html.theme--documenter-dark .content h2 code,html.theme--documenter-dark .content h3 code,html.theme--documenter-dark .content h4 code,html.theme--documenter-dark .content h5 code,html.theme--documenter-dark .content h6 code{color:#f2f2f2}html.theme--documenter-dark .content table{display:block;width:initial;max-width:100%;overflow-x:auto}html.theme--documenter-dark .content blockquote>ul:first-child,html.theme--documenter-dark .content blockquote>ol:first-child,html.theme--documenter-dark .content .admonition-body>ul:first-child,html.theme--documenter-dark .content .admonition-body>ol:first-child{margin-top:0}html.theme--documenter-dark pre,html.theme--documenter-dark code{font-variant-ligatures:no-contextual}html.theme--documenter-dark .breadcrumb a.is-disabled{cursor:default;pointer-events:none}html.theme--documenter-dark .breadcrumb a.is-disabled,html.theme--documenter-dark .breadcrumb a.is-disabled:hover{color:#f2f2f2}html.theme--documenter-dark .hljs{background:initial !important}html.theme--documenter-dark .katex .katex-mathml{top:0;right:0}html.theme--documenter-dark .katex-display,html.theme--documenter-dark mjx-container,html.theme--documenter-dark .MathJax_Display{margin:0.5em 0 !important}html.theme--documenter-dark html{-moz-osx-font-smoothing:auto;-webkit-font-smoothing:auto}html.theme--documenter-dark li.no-marker{list-style:none}html.theme--documenter-dark #documenter .docs-main>article{overflow-wrap:break-word}html.theme--documenter-dark #documenter .docs-main>article .math-container{overflow-x:auto;overflow-y:hidden}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-main{max-width:52rem;margin-left:20rem;padding-right:1rem}}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main{width:100%}html.theme--documenter-dark #documenter .docs-main>article{max-width:52rem;margin-left:auto;margin-right:auto;margin-bottom:1rem;padding:0 1rem}html.theme--documenter-dark #documenter .docs-main>header,html.theme--documenter-dark #documenter .docs-main>nav{max-width:100%;width:100%;margin:0}}html.theme--documenter-dark #documenter .docs-main header.docs-navbar{background-color:#1f2424;border-bottom:1px solid #5e6d6f;z-index:2;min-height:4rem;margin-bottom:1rem;display:flex}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .breadcrumb{flex-grow:1}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-sidebar-button{display:block;font-size:1.5rem;padding-bottom:0.1rem;margin-right:1rem}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right{display:flex;white-space:nowrap;gap:1rem;align-items:center}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-icon,html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-label{display:inline-block}html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-label{padding:0;margin-left:0.3em}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main header.docs-navbar .docs-right .docs-navbar-link{margin-left:0.4rem;margin-right:0.4rem}}html.theme--documenter-dark #documenter .docs-main header.docs-navbar>*{margin:auto 0}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main header.docs-navbar{position:sticky;top:0;padding:0 1rem;transition-property:top, box-shadow;-webkit-transition-property:top, box-shadow;transition-duration:0.3s;-webkit-transition-duration:0.3s}html.theme--documenter-dark #documenter .docs-main header.docs-navbar.headroom--not-top{box-shadow:.2rem 0rem .4rem #171717;transition-duration:0.7s;-webkit-transition-duration:0.7s}html.theme--documenter-dark #documenter .docs-main header.docs-navbar.headroom--unpinned.headroom--not-top.headroom--not-bottom{top:-4.5rem;transition-duration:0.7s;-webkit-transition-duration:0.7s}}html.theme--documenter-dark #documenter .docs-main section.footnotes{border-top:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-main section.footnotes li .tag:first-child,html.theme--documenter-dark #documenter .docs-main section.footnotes li .docstring>section>a.docs-sourcelink:first-child,html.theme--documenter-dark #documenter .docs-main section.footnotes li .content kbd:first-child,html.theme--documenter-dark .content #documenter .docs-main section.footnotes li kbd:first-child{margin-right:1em;margin-bottom:0.4em}html.theme--documenter-dark #documenter .docs-main .docs-footer{display:flex;flex-wrap:wrap;margin-left:0;margin-right:0;border-top:1px solid #5e6d6f;padding-top:1rem;padding-bottom:1rem}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-main .docs-footer{padding-left:1rem;padding-right:1rem}}html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-nextpage,html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-prevpage{flex-grow:1}html.theme--documenter-dark #documenter .docs-main .docs-footer .docs-footer-nextpage{text-align:right}html.theme--documenter-dark #documenter .docs-main .docs-footer .flexbox-break{flex-basis:100%;height:0}html.theme--documenter-dark #documenter .docs-main .docs-footer .footer-message{font-size:0.8em;margin:0.5em auto 0 auto;text-align:center}html.theme--documenter-dark #documenter .docs-sidebar{display:flex;flex-direction:column;color:#fff;background-color:#282f2f;border-right:1px solid #5e6d6f;padding:0;flex:0 0 18rem;z-index:5;font-size:1rem;position:fixed;left:-18rem;width:18rem;height:100%;transition:left 0.3s}html.theme--documenter-dark #documenter .docs-sidebar.visible{left:0;box-shadow:.4rem 0rem .8rem #171717}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar.visible{box-shadow:none}}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar{left:0;top:0}}html.theme--documenter-dark #documenter .docs-sidebar .docs-logo{margin-top:1rem;padding:0 1rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-logo>img{max-height:6rem;margin:auto}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name{flex-shrink:0;font-size:1.5rem;font-weight:700;text-align:center;white-space:nowrap;overflow:hidden;padding:0.5rem 0}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name .docs-autofit{max-width:16.2rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name a,html.theme--documenter-dark #documenter .docs-sidebar .docs-package-name a:hover{color:#fff}html.theme--documenter-dark #documenter .docs-sidebar .docs-version-selector{border-top:1px solid #5e6d6f;display:none;padding:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar .docs-version-selector.visible{display:flex}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu{flex-grow:1;user-select:none;border-top:1px solid #5e6d6f;padding-bottom:1.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li>.tocitem{font-weight:bold}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li li{font-size:.95rem;margin-left:1em;border-left:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input.collapse-toggle{display:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.collapsed{display:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input:checked~ul.collapsed{display:block}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem{display:flex}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-label{flex-grow:2}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-chevron{display:inline-block;font-style:normal;font-variant:normal;text-rendering:auto;line-height:1;font-size:.75rem;margin-left:1rem;margin-top:auto;margin-bottom:auto}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem .docs-chevron::before{font-family:"Font Awesome 6 Free";font-weight:900;content:"\f054"}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu input:checked~label.tocitem .docs-chevron::before{content:"\f078"}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem{display:block;padding:0.5rem 0.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu .tocitem:hover{color:#fff;background:#282f2f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu a.tocitem:hover,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu label.tocitem:hover{color:#fff;background-color:#32393a}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active{border-top:1px solid #5e6d6f;border-bottom:1px solid #5e6d6f;background-color:#1f2424}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active .tocitem,html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active .tocitem:hover{background-color:#1f2424;color:#fff}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu li.is-active ul.internal .tocitem:hover{background-color:#32393a;color:#fff}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu>li.is-active:first-child{border-top:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal{margin:0 0.5rem 0.5rem;border-top:1px solid #5e6d6f}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal li{font-size:.85rem;border-left:none;margin-left:0;margin-top:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal .tocitem{width:100%;padding:0}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu ul.internal .tocitem::before{content:"⚬";margin-right:0.4em}html.theme--documenter-dark #documenter .docs-sidebar form.docs-search{margin:auto;margin-top:0.5rem;margin-bottom:0.5rem}html.theme--documenter-dark #documenter .docs-sidebar form.docs-search>input{width:14.4rem}html.theme--documenter-dark #documenter .docs-sidebar #documenter-search-query{color:#868c98;width:14.4rem;box-shadow:inset 0 1px 2px rgba(10,10,10,0.1)}@media screen and (min-width: 1056px){html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu{overflow-y:auto;-webkit-overflow-scroll:touch}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar{width:.3rem;background:none}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar-thumb{border-radius:5px 0px 0px 5px;background:#3b4445}html.theme--documenter-dark #documenter .docs-sidebar ul.docs-menu::-webkit-scrollbar-thumb:hover{background:#4e5a5c}}@media screen and (max-width: 1055px){html.theme--documenter-dark #documenter .docs-sidebar{overflow-y:auto;-webkit-overflow-scroll:touch}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar{width:.3rem;background:none}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar-thumb{border-radius:5px 0px 0px 5px;background:#3b4445}html.theme--documenter-dark #documenter .docs-sidebar::-webkit-scrollbar-thumb:hover{background:#4e5a5c}}html.theme--documenter-dark kbd.search-modal-key-hints{border-radius:0.25rem;border:1px solid rgba(245,245,245,0.6);box-shadow:0 2px 0 1px rgba(245,245,245,0.6);cursor:default;font-size:0.9rem;line-height:1.5;min-width:0.75rem;text-align:center;padding:0.1rem 0.3rem;position:relative;top:-1px}html.theme--documenter-dark .search-min-width-50{min-width:50%}html.theme--documenter-dark .search-min-height-100{min-height:100%}html.theme--documenter-dark .search-modal-card-body{max-height:calc(100vh - 15rem)}html.theme--documenter-dark .search-result-link{border-radius:0.7em;transition:all 300ms}html.theme--documenter-dark .search-result-link:hover,html.theme--documenter-dark .search-result-link:focus{background-color:rgba(0,128,128,0.1)}html.theme--documenter-dark .search-result-link .property-search-result-badge,html.theme--documenter-dark .search-result-link .search-filter{transition:all 300ms}html.theme--documenter-dark .property-search-result-badge,html.theme--documenter-dark .search-filter{padding:0.15em 0.5em;font-size:0.8em;font-style:italic;text-transform:none !important;line-height:1.5;color:#f5f5f5;background-color:rgba(51,65,85,0.501961);border-radius:0.6rem}html.theme--documenter-dark .search-result-link:hover .property-search-result-badge,html.theme--documenter-dark .search-result-link:hover .search-filter,html.theme--documenter-dark .search-result-link:focus .property-search-result-badge,html.theme--documenter-dark .search-result-link:focus .search-filter{color:#333;background-color:#f1f5f9}html.theme--documenter-dark .search-filter{color:#333;background-color:#f5f5f5;transition:all 300ms}html.theme--documenter-dark .search-filter:hover,html.theme--documenter-dark .search-filter:focus{color:#333}html.theme--documenter-dark .search-filter-selected{color:#f5f5f5;background-color:rgba(139,0,139,0.5)}html.theme--documenter-dark .search-filter-selected:hover,html.theme--documenter-dark .search-filter-selected:focus{color:#f5f5f5}html.theme--documenter-dark .search-result-highlight{background-color:#ffdd57;color:black}html.theme--documenter-dark .search-divider{border-bottom:1px solid #5e6d6f}html.theme--documenter-dark .search-result-title{width:85%;color:#f5f5f5}html.theme--documenter-dark .search-result-code-title{font-size:0.875rem;font-family:"JuliaMono","SFMono-Regular","Menlo","Consolas","Liberation Mono","DejaVu Sans Mono",monospace}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar{height:10px;width:10px;background-color:transparent}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar-thumb,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar-thumb{background-color:gray;border-radius:1rem}html.theme--documenter-dark #search-modal .modal-card-body::-webkit-scrollbar-track,html.theme--documenter-dark #search-modal .filter-tabs::-webkit-scrollbar-track{-webkit-box-shadow:inset 0 0 6px rgba(0,0,0,0.6);background-color:transparent}html.theme--documenter-dark .w-100{width:100%}html.theme--documenter-dark .gap-2{gap:0.5rem}html.theme--documenter-dark .gap-4{gap:1rem}html.theme--documenter-dark .gap-8{gap:2rem}html.theme--documenter-dark{background-color:#1f2424;font-size:16px;min-width:300px;overflow-x:auto;overflow-y:scroll;text-rendering:optimizeLegibility;text-size-adjust:100%}html.theme--documenter-dark .ansi span.sgr1{font-weight:bolder}html.theme--documenter-dark .ansi span.sgr2{font-weight:lighter}html.theme--documenter-dark .ansi span.sgr3{font-style:italic}html.theme--documenter-dark .ansi span.sgr4{text-decoration:underline}html.theme--documenter-dark .ansi span.sgr7{color:#1f2424;background-color:#fff}html.theme--documenter-dark .ansi span.sgr8{color:transparent}html.theme--documenter-dark .ansi span.sgr8 span{color:transparent}html.theme--documenter-dark .ansi span.sgr9{text-decoration:line-through}html.theme--documenter-dark .ansi span.sgr30{color:#242424}html.theme--documenter-dark .ansi span.sgr31{color:#f6705f}html.theme--documenter-dark .ansi span.sgr32{color:#4fb43a}html.theme--documenter-dark .ansi span.sgr33{color:#f4c72f}html.theme--documenter-dark .ansi span.sgr34{color:#7587f0}html.theme--documenter-dark .ansi span.sgr35{color:#bc89d3}html.theme--documenter-dark .ansi span.sgr36{color:#49b6ca}html.theme--documenter-dark .ansi span.sgr37{color:#b3bdbe}html.theme--documenter-dark .ansi span.sgr40{background-color:#242424}html.theme--documenter-dark .ansi span.sgr41{background-color:#f6705f}html.theme--documenter-dark .ansi span.sgr42{background-color:#4fb43a}html.theme--documenter-dark .ansi span.sgr43{background-color:#f4c72f}html.theme--documenter-dark .ansi span.sgr44{background-color:#7587f0}html.theme--documenter-dark .ansi span.sgr45{background-color:#bc89d3}html.theme--documenter-dark .ansi span.sgr46{background-color:#49b6ca}html.theme--documenter-dark .ansi span.sgr47{background-color:#b3bdbe}html.theme--documenter-dark .ansi span.sgr90{color:#92a0a2}html.theme--documenter-dark .ansi span.sgr91{color:#ff8674}html.theme--documenter-dark .ansi span.sgr92{color:#79d462}html.theme--documenter-dark .ansi span.sgr93{color:#ffe76b}html.theme--documenter-dark .ansi span.sgr94{color:#8a98ff}html.theme--documenter-dark .ansi span.sgr95{color:#d2a4e6}html.theme--documenter-dark .ansi span.sgr96{color:#6bc8db}html.theme--documenter-dark .ansi span.sgr97{color:#ecf0f1}html.theme--documenter-dark .ansi span.sgr100{background-color:#92a0a2}html.theme--documenter-dark .ansi span.sgr101{background-color:#ff8674}html.theme--documenter-dark .ansi span.sgr102{background-color:#79d462}html.theme--documenter-dark .ansi span.sgr103{background-color:#ffe76b}html.theme--documenter-dark .ansi span.sgr104{background-color:#8a98ff}html.theme--documenter-dark .ansi span.sgr105{background-color:#d2a4e6}html.theme--documenter-dark .ansi span.sgr106{background-color:#6bc8db}html.theme--documenter-dark .ansi span.sgr107{background-color:#ecf0f1}html.theme--documenter-dark code.language-julia-repl>span.hljs-meta{color:#4fb43a;font-weight:bolder}html.theme--documenter-dark .hljs{background:#2b2b2b;color:#f8f8f2}html.theme--documenter-dark .hljs-comment,html.theme--documenter-dark .hljs-quote{color:#d4d0ab}html.theme--documenter-dark .hljs-variable,html.theme--documenter-dark .hljs-template-variable,html.theme--documenter-dark .hljs-tag,html.theme--documenter-dark .hljs-name,html.theme--documenter-dark .hljs-selector-id,html.theme--documenter-dark .hljs-selector-class,html.theme--documenter-dark .hljs-regexp,html.theme--documenter-dark .hljs-deletion{color:#ffa07a}html.theme--documenter-dark .hljs-number,html.theme--documenter-dark .hljs-built_in,html.theme--documenter-dark .hljs-literal,html.theme--documenter-dark .hljs-type,html.theme--documenter-dark .hljs-params,html.theme--documenter-dark .hljs-meta,html.theme--documenter-dark .hljs-link{color:#f5ab35}html.theme--documenter-dark .hljs-attribute{color:#ffd700}html.theme--documenter-dark .hljs-string,html.theme--documenter-dark .hljs-symbol,html.theme--documenter-dark .hljs-bullet,html.theme--documenter-dark .hljs-addition{color:#abe338}html.theme--documenter-dark .hljs-title,html.theme--documenter-dark .hljs-section{color:#00e0e0}html.theme--documenter-dark .hljs-keyword,html.theme--documenter-dark .hljs-selector-tag{color:#dcc6e0}html.theme--documenter-dark .hljs-emphasis{font-style:italic}html.theme--documenter-dark .hljs-strong{font-weight:bold}@media screen and (-ms-high-contrast: active){html.theme--documenter-dark .hljs-addition,html.theme--documenter-dark .hljs-attribute,html.theme--documenter-dark .hljs-built_in,html.theme--documenter-dark .hljs-bullet,html.theme--documenter-dark .hljs-comment,html.theme--documenter-dark .hljs-link,html.theme--documenter-dark .hljs-literal,html.theme--documenter-dark .hljs-meta,html.theme--documenter-dark .hljs-number,html.theme--documenter-dark .hljs-params,html.theme--documenter-dark .hljs-string,html.theme--documenter-dark .hljs-symbol,html.theme--documenter-dark .hljs-type,html.theme--documenter-dark .hljs-quote{color:highlight}html.theme--documenter-dark .hljs-keyword,html.theme--documenter-dark .hljs-selector-tag{font-weight:bold}}html.theme--documenter-dark .hljs-subst{color:#f8f8f2}html.theme--documenter-dark .search-result-link{border-radius:0.7em;transition:all 300ms}html.theme--documenter-dark .search-result-link:hover,html.theme--documenter-dark .search-result-link:focus{background-color:rgba(0,128,128,0.1)}html.theme--documenter-dark .search-result-link .property-search-result-badge,html.theme--documenter-dark .search-result-link .search-filter{transition:all 300ms}html.theme--documenter-dark .search-result-link:hover .property-search-result-badge,html.theme--documenter-dark .search-result-link:hover .search-filter,html.theme--documenter-dark .search-result-link:focus .property-search-result-badge,html.theme--documenter-dark .search-result-link:focus .search-filter{color:#333 !important;background-color:#f1f5f9 !important}html.theme--documenter-dark .property-search-result-badge,html.theme--documenter-dark .search-filter{padding:0.15em 0.5em;font-size:0.8em;font-style:italic;text-transform:none !important;line-height:1.5;color:whitesmoke;background-color:#33415580;border-radius:0.6rem}html.theme--documenter-dark .search-result-title{color:whitesmoke}html.theme--documenter-dark .search-result-highlight{background-color:greenyellow;color:black}html.theme--documenter-dark .search-divider{border-bottom:1px solid #5e6d6f50}html.theme--documenter-dark .w-100{width:100%}html.theme--documenter-dark .gap-2{gap:0.5rem}html.theme--documenter-dark .gap-4{gap:1rem}
diff --git a/dev/assets/themes/documenter-light.css b/dev/assets/themes/documenter-light.css
index 60a317a4..1262ec50 100644
--- a/dev/assets/themes/documenter-light.css
+++ b/dev/assets/themes/documenter-light.css
@@ -6,4 +6,4 @@
   Website: https://highlightjs.org/
   License: see project LICENSE
   Touched: 2021
-*/pre code.hljs{display:block;overflow-x:auto;padding:1em}code.hljs{padding:3px 5px}.hljs{background:#F3F3F3;color:#444}.hljs-comment{color:#697070}.hljs-tag,.hljs-punctuation{color:#444a}.hljs-tag .hljs-name,.hljs-tag .hljs-attr{color:#444}.hljs-keyword,.hljs-attribute,.hljs-selector-tag,.hljs-meta .hljs-keyword,.hljs-doctag,.hljs-name{font-weight:bold}.hljs-type,.hljs-string,.hljs-number,.hljs-selector-id,.hljs-selector-class,.hljs-quote,.hljs-template-tag,.hljs-deletion{color:#880000}.hljs-title,.hljs-section{color:#880000;font-weight:bold}.hljs-regexp,.hljs-symbol,.hljs-variable,.hljs-template-variable,.hljs-link,.hljs-selector-attr,.hljs-operator,.hljs-selector-pseudo{color:#ab5656}.hljs-literal{color:#695}.hljs-built_in,.hljs-bullet,.hljs-code,.hljs-addition{color:#397300}.hljs-meta{color:#1f7199}.hljs-meta .hljs-string{color:#38a}.hljs-emphasis{font-style:italic}.hljs-strong{font-weight:bold}
+*/pre code.hljs{display:block;overflow-x:auto;padding:1em}code.hljs{padding:3px 5px}.hljs{background:#F3F3F3;color:#444}.hljs-comment{color:#697070}.hljs-tag,.hljs-punctuation{color:#444a}.hljs-tag .hljs-name,.hljs-tag .hljs-attr{color:#444}.hljs-keyword,.hljs-attribute,.hljs-selector-tag,.hljs-meta .hljs-keyword,.hljs-doctag,.hljs-name{font-weight:bold}.hljs-type,.hljs-string,.hljs-number,.hljs-selector-id,.hljs-selector-class,.hljs-quote,.hljs-template-tag,.hljs-deletion{color:#880000}.hljs-title,.hljs-section{color:#880000;font-weight:bold}.hljs-regexp,.hljs-symbol,.hljs-variable,.hljs-template-variable,.hljs-link,.hljs-selector-attr,.hljs-operator,.hljs-selector-pseudo{color:#ab5656}.hljs-literal{color:#695}.hljs-built_in,.hljs-bullet,.hljs-code,.hljs-addition{color:#397300}.hljs-meta{color:#1f7199}.hljs-meta .hljs-string{color:#38a}.hljs-emphasis{font-style:italic}.hljs-strong{font-weight:bold}.gap-4{gap:1rem}
diff --git a/dev/generated/Coloring/48ce2746.svg b/dev/generated/Coloring/48ce2746.svg
new file mode 100644
index 00000000..a719b5eb
--- /dev/null
+++ b/dev/generated/Coloring/48ce2746.svg
@@ -0,0 +1,66 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="254pt" height="256pt" viewBox="0 0 254 256" version="1.1">
+<g id="surface11">
+<rect x="0" y="0" width="254" height="256" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 166.996094 196.351562 L 86.890625 196.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 167.140625 197.828125 L 134.296875 204.425781 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 176.8125 189.21875 L 201.566406 113.035156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 178.171875 189.816406 L 194.59375 160.613281 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 86.742188 197.828125 L 119.589844 204.425781 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.070312 189.21875 L 52.316406 113.035156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 75.710938 189.816406 L 59.289062 160.613281 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 128.476562 198.5625 L 140.101562 143.015625 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 125.40625 198.5625 L 113.785156 143.015625 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 203.015625 113.351562 L 199.140625 146.628906 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 197.816406 101.492188 L 133.007812 54.410156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 198.804688 100.386719 L 176.105469 75.742188 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 191.765625 150.347656 L 142.53125 122.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 190.816406 153.269531 L 134.398438 147.160156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 133.757812 53.128906 L 164.210938 67.097656 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 120.875 54.410156 L 56.066406 101.492188 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 120.125 53.128906 L 89.675781 67.097656 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 167.953125 77.066406 L 144.707031 128.835938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 165.46875 75.261719 L 123.417969 113.367188 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 55.082031 100.386719 L 77.777344 75.742188 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 50.867188 113.351562 L 54.746094 146.628906 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 85.929688 77.066406 L 109.175781 128.835938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 88.414062 75.261719 L 130.464844 113.367188 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 63.070312 153.269531 L 119.484375 147.160156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 62.121094 150.347656 L 111.351562 122.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.136719 135.675781 L 119.746094 135.675781 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 135.570312 131.269531 L 123.929688 122.808594 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 118.316406 131.269531 L 129.957031 122.808594 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 133.707031 125.535156 L 129.257812 139.21875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 124.625 139.21875 L 120.179688 125.535156 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 196.351562 C 181.996094 200.496094 178.636719 203.851562 174.496094 203.851562 C 170.351562 203.851562 166.996094 200.496094 166.996094 196.351562 C 166.996094 192.210938 170.351562 188.851562 174.496094 188.851562 C 178.636719 188.851562 181.996094 192.210938 181.996094 196.351562 Z M 181.996094 196.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 86.890625 196.351562 C 86.890625 200.496094 83.53125 203.851562 79.390625 203.851562 C 75.246094 203.851562 71.890625 200.496094 71.890625 196.351562 C 71.890625 192.210938 75.246094 188.851562 79.390625 188.851562 C 83.53125 188.851562 86.890625 192.210938 86.890625 196.351562 Z M 86.890625 196.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 205.902344 C 134.441406 210.042969 131.085938 213.402344 126.941406 213.402344 C 122.800781 213.402344 119.441406 210.042969 119.441406 205.902344 C 119.441406 201.757812 122.800781 198.402344 126.941406 198.402344 C 131.085938 198.402344 134.441406 201.757812 134.441406 205.902344 Z M 134.441406 205.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 105.902344 C 211.382812 110.042969 208.027344 113.402344 203.882812 113.402344 C 199.742188 113.402344 196.382812 110.042969 196.382812 105.902344 C 196.382812 101.757812 199.742188 98.402344 203.882812 98.402344 C 208.027344 98.402344 211.382812 101.757812 211.382812 105.902344 Z M 211.382812 105.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 205.769531 154.078125 C 205.769531 158.21875 202.414062 161.578125 198.269531 161.578125 C 194.128906 161.578125 190.769531 158.21875 190.769531 154.078125 C 190.769531 149.9375 194.128906 146.578125 198.269531 146.578125 C 202.414062 146.578125 205.769531 149.9375 205.769531 154.078125 Z M 205.769531 154.078125 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 50 C 134.441406 54.140625 131.085938 57.5 126.941406 57.5 C 122.800781 57.5 119.441406 54.140625 119.441406 50 C 119.441406 45.859375 122.800781 42.5 126.941406 42.5 C 131.085938 42.5 134.441406 45.859375 134.441406 50 Z M 134.441406 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 178.527344 70.226562 C 178.527344 74.367188 175.167969 77.726562 171.027344 77.726562 C 166.882812 77.726562 163.527344 74.367188 163.527344 70.226562 C 163.527344 66.082031 166.882812 62.726562 171.027344 62.726562 C 175.167969 62.726562 178.527344 66.082031 178.527344 70.226562 Z M 178.527344 70.226562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 105.902344 C 57.5 110.042969 54.140625 113.402344 50 113.402344 C 45.859375 113.402344 42.5 110.042969 42.5 105.902344 C 42.5 101.757812 45.859375 98.402344 50 98.402344 C 54.140625 98.402344 57.5 101.757812 57.5 105.902344 Z M 57.5 105.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.359375 70.226562 C 90.359375 74.367188 87 77.726562 82.859375 77.726562 C 78.714844 77.726562 75.359375 74.367188 75.359375 70.226562 C 75.359375 66.082031 78.714844 62.726562 82.859375 62.726562 C 87 62.726562 90.359375 66.082031 90.359375 70.226562 Z M 90.359375 70.226562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 63.113281 154.078125 C 63.113281 158.21875 59.753906 161.578125 55.613281 161.578125 C 51.472656 161.578125 48.113281 158.21875 48.113281 154.078125 C 48.113281 149.9375 51.472656 146.578125 55.613281 146.578125 C 59.753906 146.578125 63.113281 149.9375 63.113281 154.078125 Z M 63.113281 154.078125 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 149.136719 135.675781 C 149.136719 139.820312 145.777344 143.175781 141.636719 143.175781 C 137.496094 143.175781 134.136719 139.820312 134.136719 135.675781 C 134.136719 131.535156 137.496094 128.175781 141.636719 128.175781 C 145.777344 128.175781 149.136719 131.535156 149.136719 135.675781 Z M 149.136719 135.675781 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 119.746094 135.675781 C 119.746094 139.820312 116.390625 143.175781 112.246094 143.175781 C 108.105469 143.175781 104.746094 139.820312 104.746094 135.675781 C 104.746094 131.535156 108.105469 128.175781 112.246094 128.175781 C 116.390625 128.175781 119.746094 131.535156 119.746094 135.675781 Z M 119.746094 135.675781 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 143.523438 118.402344 C 143.523438 122.542969 140.164062 125.902344 136.023438 125.902344 C 131.882812 125.902344 128.523438 122.542969 128.523438 118.402344 C 128.523438 114.257812 131.882812 110.902344 136.023438 110.902344 C 140.164062 110.902344 143.523438 114.257812 143.523438 118.402344 Z M 143.523438 118.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 146.351562 C 134.441406 150.496094 131.085938 153.851562 126.941406 153.851562 C 122.800781 153.851562 119.441406 150.496094 119.441406 146.351562 C 119.441406 142.210938 122.800781 138.851562 126.941406 138.851562 C 131.085938 138.851562 134.441406 142.210938 134.441406 146.351562 Z M 134.441406 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 125.359375 118.402344 C 125.359375 122.542969 122.003906 125.902344 117.859375 125.902344 C 113.71875 125.902344 110.359375 122.542969 110.359375 118.402344 C 110.359375 114.257812 113.71875 110.902344 117.859375 110.902344 C 122.003906 110.902344 125.359375 114.257812 125.359375 118.402344 Z M 125.359375 118.402344 "/>
+</g>
+</svg>
diff --git a/dev/generated/Coloring/562ae81f.svg b/dev/generated/Coloring/562ae81f.svg
deleted file mode 100644
index 322090fa..00000000
--- a/dev/generated/Coloring/562ae81f.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-2350940-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2350940-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface1">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2350940-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-2350940-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/Coloring/beec6420.svg b/dev/generated/Coloring/beec6420.svg
deleted file mode 100644
index 1d20316b..00000000
--- a/dev/generated/Coloring/beec6420.svg
+++ /dev/null
@@ -1,154 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="254pt" height="256pt" viewBox="0 0 254 256" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-3384070-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3384070-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface11">
-<rect x="0" y="0" width="254" height="256" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 166.996094 196.351562 L 86.890625 196.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 167.140625 197.828125 L 134.296875 204.425781 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 176.8125 189.21875 L 201.566406 113.035156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 178.171875 189.816406 L 194.59375 160.613281 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 86.742188 197.828125 L 119.589844 204.425781 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.070312 189.21875 L 52.316406 113.035156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 75.710938 189.816406 L 59.289062 160.613281 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 128.476562 198.5625 L 140.101562 143.015625 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 125.40625 198.5625 L 113.785156 143.015625 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 203.015625 113.351562 L 199.140625 146.628906 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 197.816406 101.492188 L 133.007812 54.410156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 198.804688 100.386719 L 176.105469 75.742188 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 191.765625 150.347656 L 142.53125 122.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 190.816406 153.269531 L 134.398438 147.160156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 133.757812 53.128906 L 164.210938 67.097656 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 120.875 54.410156 L 56.066406 101.492188 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 120.125 53.128906 L 89.675781 67.097656 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 167.953125 77.066406 L 144.707031 128.835938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 165.46875 75.261719 L 123.417969 113.367188 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 55.082031 100.386719 L 77.777344 75.742188 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 50.867188 113.351562 L 54.746094 146.628906 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 85.929688 77.066406 L 109.175781 128.835938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 88.414062 75.261719 L 130.464844 113.367188 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 63.070312 153.269531 L 119.484375 147.160156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 62.121094 150.347656 L 111.351562 122.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.136719 135.675781 L 119.746094 135.675781 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 135.570312 131.269531 L 123.929688 122.808594 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 118.316406 131.269531 L 129.957031 122.808594 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 133.707031 125.535156 L 129.257812 139.21875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 124.625 139.21875 L 120.179688 125.535156 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 0 0 L 0 0 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 196.351562 C 181.996094 200.496094 178.636719 203.851562 174.496094 203.851562 C 170.351562 203.851562 166.996094 200.496094 166.996094 196.351562 C 166.996094 192.210938 170.351562 188.851562 174.496094 188.851562 C 178.636719 188.851562 181.996094 192.210938 181.996094 196.351562 Z M 181.996094 196.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="171.014914" y="200.666549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 86.890625 196.351562 C 86.890625 200.496094 83.53125 203.851562 79.390625 203.851562 C 75.246094 203.851562 71.890625 200.496094 71.890625 196.351562 C 71.890625 192.210938 75.246094 188.851562 79.390625 188.851562 C 83.53125 188.851562 86.890625 192.210938 86.890625 196.351562 Z M 86.890625 196.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-2" x="75.909263" y="200.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 205.902344 C 134.441406 210.042969 131.085938 213.402344 126.941406 213.402344 C 122.800781 213.402344 119.441406 210.042969 119.441406 205.902344 C 119.441406 201.757812 122.800781 198.402344 126.941406 198.402344 C 131.085938 198.402344 134.441406 201.757812 134.441406 205.902344 Z M 134.441406 205.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-3" x="123.462088" y="210.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 105.902344 C 211.382812 110.042969 208.027344 113.402344 203.882812 113.402344 C 199.742188 113.402344 196.382812 110.042969 196.382812 105.902344 C 196.382812 101.757812 199.742188 98.402344 203.882812 98.402344 C 208.027344 98.402344 211.382812 101.757812 211.382812 105.902344 Z M 211.382812 105.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-4" x="200.404177" y="110.209699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 205.769531 154.078125 C 205.769531 158.21875 202.414062 161.578125 198.269531 161.578125 C 194.128906 161.578125 190.769531 158.21875 190.769531 154.078125 C 190.769531 149.9375 194.128906 146.578125 198.269531 146.578125 C 202.414062 146.578125 205.769531 149.9375 205.769531 154.078125 Z M 205.769531 154.078125 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-5" x="194.791327" y="158.382974"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 50 C 134.441406 54.140625 131.085938 57.5 126.941406 57.5 C 122.800781 57.5 119.441406 54.140625 119.441406 50 C 119.441406 45.859375 122.800781 42.5 126.941406 42.5 C 131.085938 42.5 134.441406 45.859375 134.441406 50 Z M 134.441406 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-6" x="123.462088" y="54.305"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 178.527344 70.226562 C 178.527344 74.367188 175.167969 77.726562 171.027344 77.726562 C 166.882812 77.726562 163.527344 74.367188 163.527344 70.226562 C 163.527344 66.082031 166.882812 62.726562 171.027344 62.726562 C 175.167969 62.726562 178.527344 66.082031 178.527344 70.226562 Z M 178.527344 70.226562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-7" x="167.545982" y="74.530425"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 105.902344 C 57.5 110.042969 54.140625 113.402344 50 113.402344 C 45.859375 113.402344 42.5 110.042969 42.5 105.902344 C 42.5 101.757812 45.859375 98.402344 50 98.402344 C 54.140625 98.402344 57.5 101.757812 57.5 105.902344 Z M 57.5 105.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-8" x="46.52" y="110.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.359375 70.226562 C 90.359375 74.367188 87 77.726562 82.859375 77.726562 C 78.714844 77.726562 75.359375 74.367188 75.359375 70.226562 C 75.359375 66.082031 78.714844 62.726562 82.859375 62.726562 C 87 62.726562 90.359375 66.082031 90.359375 70.226562 Z M 90.359375 70.226562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-9" x="79.378195" y="74.578425"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 63.113281 154.078125 C 63.113281 158.21875 59.753906 161.578125 55.613281 161.578125 C 51.472656 161.578125 48.113281 158.21875 48.113281 154.078125 C 48.113281 149.9375 51.472656 146.578125 55.613281 146.578125 C 59.753906 146.578125 63.113281 149.9375 63.113281 154.078125 Z M 63.113281 154.078125 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="48.65285" y="158.430974"/>
-  <use xlink:href="#glyph-3384070-10" x="55.61285" y="158.430974"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 149.136719 135.675781 C 149.136719 139.820312 145.777344 143.175781 141.636719 143.175781 C 137.496094 143.175781 134.136719 139.820312 134.136719 135.675781 C 134.136719 131.535156 137.496094 128.175781 141.636719 128.175781 C 145.777344 128.175781 149.136719 131.535156 149.136719 135.675781 Z M 149.136719 135.675781 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="134.67672" y="139.990275"/>
-  <use xlink:href="#glyph-3384070-1" x="141.63672" y="139.990275"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 119.746094 135.675781 C 119.746094 139.820312 116.390625 143.175781 112.246094 143.175781 C 108.105469 143.175781 104.746094 139.820312 104.746094 135.675781 C 104.746094 131.535156 108.105469 128.175781 112.246094 128.175781 C 116.390625 128.175781 119.746094 131.535156 119.746094 135.675781 Z M 119.746094 135.675781 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="105.287457" y="140.029275"/>
-  <use xlink:href="#glyph-3384070-2" x="112.247457" y="140.029275"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 143.523438 118.402344 C 143.523438 122.542969 140.164062 125.902344 136.023438 125.902344 C 131.882812 125.902344 128.523438 122.542969 128.523438 118.402344 C 128.523438 114.257812 131.882812 110.902344 136.023438 110.902344 C 140.164062 110.902344 143.523438 114.257812 143.523438 118.402344 Z M 143.523438 118.402344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="129.06387" y="122.754699"/>
-  <use xlink:href="#glyph-3384070-3" x="136.02387" y="122.754699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 134.441406 146.351562 C 134.441406 150.496094 131.085938 153.851562 126.941406 153.851562 C 122.800781 153.851562 119.441406 150.496094 119.441406 146.351562 C 119.441406 142.210938 122.800781 138.851562 126.941406 138.851562 C 131.085938 138.851562 134.441406 142.210938 134.441406 146.351562 Z M 134.441406 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="119.982088" y="150.666549"/>
-  <use xlink:href="#glyph-3384070-4" x="126.942088" y="150.666549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 125.359375 118.402344 C 125.359375 122.542969 122.003906 125.902344 117.859375 125.902344 C 113.71875 125.902344 110.359375 122.542969 110.359375 118.402344 C 110.359375 114.257812 113.71875 110.902344 117.859375 110.902344 C 122.003906 110.902344 125.359375 114.257812 125.359375 118.402344 Z M 125.359375 118.402344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3384070-1" x="110.900307" y="122.715699"/>
-  <use xlink:href="#glyph-3384070-5" x="117.860307" y="122.715699"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/Coloring/c2dd93f2.svg b/dev/generated/Coloring/c2dd93f2.svg
deleted file mode 100644
index 06136c5f..00000000
--- a/dev/generated/Coloring/c2dd93f2.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-5912350-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5912350-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface6">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,50.196078%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,0%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,50.196078%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,0%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,0%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,50.196078%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(0%,50.196078%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5912350-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-5912350-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/Coloring/index.html b/dev/generated/Coloring/index.html
index 6fb3f464..b4ad0310 100644
--- a/dev/generated/Coloring/index.html
+++ b/dev/generated/Coloring/index.html
@@ -5,7 +5,38 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="562ae81f.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We construct the tensor network for the 3-coloring problem as</p><pre><code class="language-julia hljs">problem = Coloring{3}(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.Coloring"><code>Coloring</code></a> can be used for constructing the tensor network with optimized contraction order for a coloring problem. Let us use 3-coloring problem defined on vertices as an example. For a vertex <span>$v$</span>, we define the degrees of freedom <span>$c_v\in\{1,2,3\}$</span> and a vertex tensor labelled by it as</p><p class="math-container">\[W(v) = \left(\begin{matrix}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface1">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We construct the tensor network for the 3-coloring problem as</p><pre><code class="language-julia hljs">problem = Coloring{3}(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.Coloring"><code>Coloring</code></a> can be used for constructing the tensor network with optimized contraction order for a coloring problem. Let us use 3-coloring problem defined on vertices as an example. For a vertex <span>$v$</span>, we define the degrees of freedom <span>$c_v\in\{1,2,3\}$</span> and a vertex tensor labelled by it as</p><p class="math-container">\[W(v) = \left(\begin{matrix}
     1\\
     1\\
     1
@@ -20,9 +51,40 @@
 vertex_color_map = Dict(0=&gt;&quot;red&quot;, 1=&gt;&quot;green&quot;, 2=&gt;&quot;blue&quot;)
 
 show_graph(graph; locs=locations, format=:svg, vertex_colors=[vertex_color_map[Int(c)]
-     for c in single_solution.c.data])</code></pre><img src="c2dd93f2.svg" alt="Example block output"/><p>Let us try to solve the same issue on its line graph, a graph that generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.</p><pre><code class="language-julia hljs">linegraph = line_graph(graph)
+     for c in single_solution.c.data])</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface6">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,0%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,50.196078%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,0%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,50.196078%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,50.196078%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,0%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(0%25,50.196078%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>Let us try to solve the same issue on its line graph, a graph that generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.</p><pre><code class="language-julia hljs">linegraph = line_graph(graph)
 
 show_graph(linegraph; locs=[0.5 .* (locations[e.src] .+ locations[e.dst])
-     for e in edges(graph)], format=:svg)</code></pre><img src="beec6420.svg" alt="Example block output"/><p>Let us construct the tensor network and see if there are solutions.</p><pre><code class="language-julia hljs">lineproblem = Coloring{3}(linegraph);
+     for e in edges(graph)], format=:svg)</code></pre><img src="48ce2746.svg" alt="Example block output"/><p>Let us construct the tensor network and see if there are solutions.</p><pre><code class="language-julia hljs">lineproblem = Coloring{3}(linegraph);
 
-num_of_coloring = solve(lineproblem, CountingMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(28.0, 1800.0)ₜ</code></pre><p>You will see the maximum size 28 is smaller than the number of edges in the <code>linegraph</code>, meaning no solution for the 3-coloring on edges of a Petersen graph.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../PaintShop/">« Binary paint shop problem</a><a class="docs-footer-nextpage" href="../DominatingSet/">Dominating set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+num_of_coloring = solve(lineproblem, CountingMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(28.0, 1800.0)ₜ</code></pre><p>You will see the maximum size 28 is smaller than the number of edges in the <code>linegraph</code>, meaning no solution for the 3-coloring on edges of a Petersen graph.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../PaintShop/">« Binary paint shop problem</a><a class="docs-footer-nextpage" href="../DominatingSet/">Dominating set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/DominatingSet/97999130.svg b/dev/generated/DominatingSet/97999130.svg
deleted file mode 100644
index ee5ccce7..00000000
--- a/dev/generated/DominatingSet/97999130.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-3592890-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-3592890-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface16">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-3592890-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-3592890-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/MaximalIS/f9ff3e5a.svg b/dev/generated/DominatingSet/f9ffae21.svg
similarity index 58%
rename from dev/generated/MaximalIS/f9ff3e5a.svg
rename to dev/generated/DominatingSet/f9ffae21.svg
index b18bf5ba..33b59c1e 100644
--- a/dev/generated/MaximalIS/f9ff3e5a.svg
+++ b/dev/generated/DominatingSet/f9ffae21.svg
@@ -1,44 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="562pt" viewBox="0 0 1451 562" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-2013000-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2013000-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface71">
-<rect x="0" y="0" width="1451" height="562" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="580pt" viewBox="0 0 1451 580" version="1.1">
+<g id="surface21">
+<rect x="0" y="0" width="1451" height="580" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
@@ -55,46 +18,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="141.625652" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="236.731303" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="141.625652" y="185.206699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="171.014914" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="112.236389" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-2013000-10" x="97.552826" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
@@ -111,46 +43,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="431.836955" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="526.942607" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="490.61548" y="54.353"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="373.05843" y="54.308"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="336.731303" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="431.836955" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="479.389781" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="461.226218" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="402.447692" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="380.804129" y="150.705549"/>
-  <use xlink:href="#glyph-2013000-10" x="387.764129" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
@@ -167,46 +68,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="722.048258" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="817.15391" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="780.826783" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="663.269733" y="54.308"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="626.942607" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="722.048258" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="769.601084" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="751.437521" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="692.658996" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="671.015432" y="150.705549"/>
-  <use xlink:href="#glyph-2013000-10" x="677.975432" y="150.705549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
@@ -222,47 +92,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1057.226562 141.945312 L 992.417969 94.859375 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1012.259561" y="235.215699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="1107.365213" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="1071.038087" y="54.353"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="953.481036" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="917.15391" y="166.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="1012.259561" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="1059.812387" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="1041.648824" y="94.80385"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="982.870299" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="961.226736" y="150.705549"/>
-  <use xlink:href="#glyph-2013000-10" x="968.186736" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
@@ -279,46 +118,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1302.470865" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="1397.576516" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="1361.24939" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="1243.692339" y="54.308"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="1207.365213" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="1302.470865" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="1350.02369" y="150.657549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="1331.860127" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="1273.081602" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1251.438039" y="150.705549"/>
-  <use xlink:href="#glyph-2013000-10" x="1258.398039" y="150.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 507.394531 L 234.144531 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 507.394531 L 56.066406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 504.304688 L 145.105469 469.304688 "/>
@@ -334,47 +142,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 422.847656 L 121.785156 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 427.253906 L 105.054688 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 375.761719 L 103.621094 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 511.804688 C 152.605469 515.945312 149.246094 519.304688 145.105469 519.304688 C 140.964844 519.304688 137.605469 515.945312 137.605469 511.804688 C 137.605469 507.660156 140.964844 504.304688 145.105469 504.304688 C 149.246094 504.304688 152.605469 507.660156 152.605469 511.804688 Z M 152.605469 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="141.625652" y="516.117399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 511.804688 C 152.605469 515.945312 149.246094 519.304688 145.105469 519.304688 C 140.964844 519.304688 137.605469 515.945312 137.605469 511.804688 C 137.605469 507.660156 140.964844 504.304688 145.105469 504.304688 C 149.246094 504.304688 152.605469 507.660156 152.605469 511.804688 Z M 152.605469 511.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 442.707031 C 247.710938 446.847656 244.351562 450.207031 240.210938 450.207031 C 236.070312 450.207031 232.710938 446.847656 232.710938 442.707031 C 232.710938 438.5625 236.070312 435.207031 240.210938 435.207031 C 244.351562 435.207031 247.710938 438.5625 247.710938 442.707031 Z M 247.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="236.731303" y="447.058098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 330.902344 C 211.382812 335.042969 208.027344 338.402344 203.882812 338.402344 C 199.742188 338.402344 196.382812 335.042969 196.382812 330.902344 C 196.382812 326.757812 199.742188 323.402344 203.882812 323.402344 C 208.027344 323.402344 211.382812 326.757812 211.382812 330.902344 Z M 211.382812 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="200.404177" y="335.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="82.847126" y="335.209699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 330.902344 C 211.382812 335.042969 208.027344 338.402344 203.882812 338.402344 C 199.742188 338.402344 196.382812 335.042969 196.382812 330.902344 C 196.382812 326.757812 199.742188 323.402344 203.882812 323.402344 C 208.027344 323.402344 211.382812 326.757812 211.382812 330.902344 Z M 211.382812 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 442.707031 C 57.5 446.847656 54.140625 450.207031 50 450.207031 C 45.859375 450.207031 42.5 446.847656 42.5 442.707031 C 42.5 438.5625 45.859375 435.207031 50 435.207031 C 54.140625 435.207031 57.5 438.5625 57.5 442.707031 Z M 57.5 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="46.52" y="447.010098"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 461.804688 C 152.605469 465.945312 149.246094 469.304688 145.105469 469.304688 C 140.964844 469.304688 137.605469 465.945312 137.605469 461.804688 C 137.605469 457.660156 140.964844 454.304688 145.105469 454.304688 C 149.246094 454.304688 152.605469 457.660156 152.605469 461.804688 Z M 152.605469 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="141.625652" y="466.108399"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 461.804688 C 152.605469 465.945312 149.246094 469.304688 145.105469 469.304688 C 140.964844 469.304688 137.605469 465.945312 137.605469 461.804688 C 137.605469 457.660156 140.964844 454.304688 145.105469 454.304688 C 149.246094 454.304688 152.605469 457.660156 152.605469 461.804688 Z M 152.605469 461.804688 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 427.253906 C 200.160156 431.394531 196.800781 434.753906 192.660156 434.753906 C 188.515625 434.753906 185.160156 431.394531 185.160156 427.253906 C 185.160156 423.113281 188.515625 419.753906 192.660156 419.753906 C 196.800781 419.753906 200.160156 423.113281 200.160156 427.253906 Z M 200.160156 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="189.178477" y="431.559249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 371.351562 C 181.996094 375.496094 178.636719 378.851562 174.496094 378.851562 C 170.351562 378.851562 166.996094 375.496094 166.996094 371.351562 C 166.996094 367.210938 170.351562 363.851562 174.496094 363.851562 C 178.636719 363.851562 181.996094 367.210938 181.996094 371.351562 Z M 181.996094 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="171.014914" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 371.351562 C 123.214844 375.496094 119.859375 378.851562 115.714844 378.851562 C 111.574219 378.851562 108.214844 375.496094 108.214844 371.351562 C 108.214844 367.210938 111.574219 363.851562 115.714844 363.851562 C 119.859375 363.851562 123.214844 367.210938 123.214844 371.351562 Z M 123.214844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="112.236389" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 427.253906 C 105.054688 431.394531 101.695312 434.753906 97.554688 434.753906 C 93.410156 434.753906 90.054688 431.394531 90.054688 427.253906 C 90.054688 423.113281 93.410156 419.753906 97.554688 419.753906 C 101.695312 419.753906 105.054688 423.113281 105.054688 427.253906 Z M 105.054688 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="90.592826" y="431.607249"/>
-  <use xlink:href="#glyph-2013000-10" x="97.552826" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 507.394531 L 524.355469 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 507.394531 L 346.277344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 504.304688 L 435.316406 469.304688 "/>
@@ -390,47 +167,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 476.800781 422.847656 L 411.996094 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 427.253906 L 395.265625 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 375.761719 L 393.832031 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 511.804688 C 442.816406 515.945312 439.460938 519.304688 435.316406 519.304688 C 431.175781 519.304688 427.816406 515.945312 427.816406 511.804688 C 427.816406 507.660156 431.175781 504.304688 435.316406 504.304688 C 439.460938 504.304688 442.816406 507.660156 442.816406 511.804688 Z M 442.816406 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="431.836955" y="516.117399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 511.804688 C 442.816406 515.945312 439.460938 519.304688 435.316406 519.304688 C 431.175781 519.304688 427.816406 515.945312 427.816406 511.804688 C 427.816406 507.660156 431.175781 504.304688 435.316406 504.304688 C 439.460938 504.304688 442.816406 507.660156 442.816406 511.804688 Z M 442.816406 511.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 442.707031 C 537.921875 446.847656 534.566406 450.207031 530.421875 450.207031 C 526.28125 450.207031 522.921875 446.847656 522.921875 442.707031 C 522.921875 438.5625 526.28125 435.207031 530.421875 435.207031 C 534.566406 435.207031 537.921875 438.5625 537.921875 442.707031 Z M 537.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="526.942607" y="447.058098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 330.902344 C 501.59375 335.042969 498.238281 338.402344 494.09375 338.402344 C 489.953125 338.402344 486.59375 335.042969 486.59375 330.902344 C 486.59375 326.757812 489.953125 323.402344 494.09375 323.402344 C 498.238281 323.402344 501.59375 326.757812 501.59375 330.902344 Z M 501.59375 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="490.61548" y="335.254699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 330.902344 C 384.039062 335.042969 380.679688 338.402344 376.539062 338.402344 C 372.394531 338.402344 369.039062 335.042969 369.039062 330.902344 C 369.039062 326.757812 372.394531 323.402344 376.539062 323.402344 C 380.679688 323.402344 384.039062 326.757812 384.039062 330.902344 Z M 384.039062 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="373.05843" y="335.209699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 442.707031 C 347.710938 446.847656 344.351562 450.207031 340.210938 450.207031 C 336.070312 450.207031 332.710938 446.847656 332.710938 442.707031 C 332.710938 438.5625 336.070312 435.207031 340.210938 435.207031 C 344.351562 435.207031 347.710938 438.5625 347.710938 442.707031 Z M 347.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="336.731303" y="447.010098"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 442.707031 C 347.710938 446.847656 344.351562 450.207031 340.210938 450.207031 C 336.070312 450.207031 332.710938 446.847656 332.710938 442.707031 C 332.710938 438.5625 336.070312 435.207031 340.210938 435.207031 C 344.351562 435.207031 347.710938 438.5625 347.710938 442.707031 Z M 347.710938 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 461.804688 C 442.816406 465.945312 439.460938 469.304688 435.316406 469.304688 C 431.175781 469.304688 427.816406 465.945312 427.816406 461.804688 C 427.816406 457.660156 431.175781 454.304688 435.316406 454.304688 C 439.460938 454.304688 442.816406 457.660156 442.816406 461.804688 Z M 442.816406 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="431.836955" y="466.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="479.389781" y="431.559249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 371.351562 C 472.207031 375.496094 468.847656 378.851562 464.707031 378.851562 C 460.5625 378.851562 457.207031 375.496094 457.207031 371.351562 C 457.207031 367.210938 460.5625 363.851562 464.707031 363.851562 C 468.847656 363.851562 472.207031 367.210938 472.207031 371.351562 Z M 472.207031 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="461.226218" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 371.351562 C 413.425781 375.496094 410.070312 378.851562 405.925781 378.851562 C 401.785156 378.851562 398.425781 375.496094 398.425781 371.351562 C 398.425781 367.210938 401.785156 363.851562 405.925781 363.851562 C 410.070312 363.851562 413.425781 367.210938 413.425781 371.351562 Z M 413.425781 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="402.447692" y="375.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 371.351562 C 413.425781 375.496094 410.070312 378.851562 405.925781 378.851562 C 401.785156 378.851562 398.425781 375.496094 398.425781 371.351562 C 398.425781 367.210938 401.785156 363.851562 405.925781 363.851562 C 410.070312 363.851562 413.425781 367.210938 413.425781 371.351562 Z M 413.425781 371.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 427.253906 C 395.265625 431.394531 391.90625 434.753906 387.765625 434.753906 C 383.621094 434.753906 380.265625 431.394531 380.265625 427.253906 C 380.265625 423.113281 383.621094 419.753906 387.765625 419.753906 C 391.90625 419.753906 395.265625 423.113281 395.265625 427.253906 Z M 395.265625 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="380.804129" y="431.607249"/>
-  <use xlink:href="#glyph-2013000-10" x="387.764129" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 507.394531 L 814.566406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 507.394531 L 636.488281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 504.304688 L 725.527344 469.304688 "/>
@@ -446,47 +192,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 422.847656 L 702.207031 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 427.253906 L 685.476562 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 375.761719 L 684.042969 422.847656 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 511.804688 C 733.027344 515.945312 729.671875 519.304688 725.527344 519.304688 C 721.386719 519.304688 718.027344 515.945312 718.027344 511.804688 C 718.027344 507.660156 721.386719 504.304688 725.527344 504.304688 C 729.671875 504.304688 733.027344 507.660156 733.027344 511.804688 Z M 733.027344 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="722.048258" y="516.117399"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 511.804688 C 733.027344 515.945312 729.671875 519.304688 725.527344 519.304688 C 721.386719 519.304688 718.027344 515.945312 718.027344 511.804688 C 718.027344 507.660156 721.386719 504.304688 725.527344 504.304688 C 729.671875 504.304688 733.027344 507.660156 733.027344 511.804688 Z M 733.027344 511.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 442.707031 C 828.132812 446.847656 824.777344 450.207031 820.632812 450.207031 C 816.492188 450.207031 813.132812 446.847656 813.132812 442.707031 C 813.132812 438.5625 816.492188 435.207031 820.632812 435.207031 C 824.777344 435.207031 828.132812 438.5625 828.132812 442.707031 Z M 828.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="817.15391" y="447.058098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 330.902344 C 791.808594 335.042969 788.449219 338.402344 784.308594 338.402344 C 780.164062 338.402344 776.808594 335.042969 776.808594 330.902344 C 776.808594 326.757812 780.164062 323.402344 784.308594 323.402344 C 788.449219 323.402344 791.808594 326.757812 791.808594 330.902344 Z M 791.808594 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="780.826783" y="335.254699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 330.902344 C 674.25 335.042969 670.890625 338.402344 666.75 338.402344 C 662.609375 338.402344 659.25 335.042969 659.25 330.902344 C 659.25 326.757812 662.609375 323.402344 666.75 323.402344 C 670.890625 323.402344 674.25 326.757812 674.25 330.902344 Z M 674.25 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="663.269733" y="335.209699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 442.707031 C 637.921875 446.847656 634.566406 450.207031 630.421875 450.207031 C 626.28125 450.207031 622.921875 446.847656 622.921875 442.707031 C 622.921875 438.5625 626.28125 435.207031 630.421875 435.207031 C 634.566406 435.207031 637.921875 438.5625 637.921875 442.707031 Z M 637.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="626.942607" y="447.010098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 461.804688 C 733.027344 465.945312 729.671875 469.304688 725.527344 469.304688 C 721.386719 469.304688 718.027344 465.945312 718.027344 461.804688 C 718.027344 457.660156 721.386719 454.304688 725.527344 454.304688 C 729.671875 454.304688 733.027344 457.660156 733.027344 461.804688 Z M 733.027344 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="722.048258" y="466.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 427.253906 C 780.582031 431.394531 777.222656 434.753906 773.082031 434.753906 C 768.9375 434.753906 765.582031 431.394531 765.582031 427.253906 C 765.582031 423.113281 768.9375 419.753906 773.082031 419.753906 C 777.222656 419.753906 780.582031 423.113281 780.582031 427.253906 Z M 780.582031 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="769.601084" y="431.559249"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 461.804688 C 733.027344 465.945312 729.671875 469.304688 725.527344 469.304688 C 721.386719 469.304688 718.027344 465.945312 718.027344 461.804688 C 718.027344 457.660156 721.386719 454.304688 725.527344 454.304688 C 729.671875 454.304688 733.027344 457.660156 733.027344 461.804688 Z M 733.027344 461.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 427.253906 C 780.582031 431.394531 777.222656 434.753906 773.082031 434.753906 C 768.9375 434.753906 765.582031 431.394531 765.582031 427.253906 C 765.582031 423.113281 768.9375 419.753906 773.082031 419.753906 C 777.222656 419.753906 780.582031 423.113281 780.582031 427.253906 Z M 780.582031 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 371.351562 C 762.417969 375.496094 759.058594 378.851562 754.917969 378.851562 C 750.773438 378.851562 747.417969 375.496094 747.417969 371.351562 C 747.417969 367.210938 750.773438 363.851562 754.917969 363.851562 C 759.058594 363.851562 762.417969 367.210938 762.417969 371.351562 Z M 762.417969 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="751.437521" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 371.351562 C 703.640625 375.496094 700.28125 378.851562 696.140625 378.851562 C 691.996094 378.851562 688.640625 375.496094 688.640625 371.351562 C 688.640625 367.210938 691.996094 363.851562 696.140625 363.851562 C 700.28125 363.851562 703.640625 367.210938 703.640625 371.351562 Z M 703.640625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="692.658996" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 427.253906 C 685.476562 431.394531 682.117188 434.753906 677.976562 434.753906 C 673.832031 434.753906 670.476562 431.394531 670.476562 427.253906 C 670.476562 423.113281 673.832031 419.753906 677.976562 419.753906 C 682.117188 419.753906 685.476562 423.113281 685.476562 427.253906 Z M 685.476562 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="671.015432" y="431.607249"/>
-  <use xlink:href="#glyph-2013000-10" x="677.975432" y="431.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 427.253906 C 685.476562 431.394531 682.117188 434.753906 677.976562 434.753906 C 673.832031 434.753906 670.476562 431.394531 670.476562 427.253906 C 670.476562 423.113281 673.832031 419.753906 677.976562 419.753906 C 682.117188 419.753906 685.476562 423.113281 685.476562 427.253906 Z M 685.476562 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 507.394531 L 1104.777344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 507.394531 L 926.703125 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 504.304688 L 1015.738281 469.304688 "/>
@@ -503,46 +218,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 427.253906 L 975.6875 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 375.761719 L 974.253906 422.847656 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 511.804688 C 1023.238281 515.945312 1019.882812 519.304688 1015.738281 519.304688 C 1011.597656 519.304688 1008.238281 515.945312 1008.238281 511.804688 C 1008.238281 507.660156 1011.597656 504.304688 1015.738281 504.304688 C 1019.882812 504.304688 1023.238281 507.660156 1023.238281 511.804688 Z M 1023.238281 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1012.259561" y="516.117399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 442.707031 C 1118.34375 446.847656 1114.988281 450.207031 1110.84375 450.207031 C 1106.703125 450.207031 1103.34375 446.847656 1103.34375 442.707031 C 1103.34375 438.5625 1106.703125 435.207031 1110.84375 435.207031 C 1114.988281 435.207031 1118.34375 438.5625 1118.34375 442.707031 Z M 1118.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="1107.365213" y="447.058098"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 330.902344 C 1082.019531 335.042969 1078.660156 338.402344 1074.519531 338.402344 C 1070.375 338.402344 1067.019531 335.042969 1067.019531 330.902344 C 1067.019531 326.757812 1070.375 323.402344 1074.519531 323.402344 C 1078.660156 323.402344 1082.019531 326.757812 1082.019531 330.902344 Z M 1082.019531 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="1071.038087" y="335.254699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 330.902344 C 964.460938 335.042969 961.101562 338.402344 956.960938 338.402344 C 952.820312 338.402344 949.460938 335.042969 949.460938 330.902344 C 949.460938 326.757812 952.820312 323.402344 956.960938 323.402344 C 961.101562 323.402344 964.460938 326.757812 964.460938 330.902344 Z M 964.460938 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="953.481036" y="335.209699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 442.707031 C 928.132812 446.847656 924.777344 450.207031 920.632812 450.207031 C 916.492188 450.207031 913.132812 446.847656 913.132812 442.707031 C 913.132812 438.5625 916.492188 435.207031 920.632812 435.207031 C 924.777344 435.207031 928.132812 438.5625 928.132812 442.707031 Z M 928.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="917.15391" y="447.010098"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 461.804688 C 1023.238281 465.945312 1019.882812 469.304688 1015.738281 469.304688 C 1011.597656 469.304688 1008.238281 465.945312 1008.238281 461.804688 C 1008.238281 457.660156 1011.597656 454.304688 1015.738281 454.304688 C 1019.882812 454.304688 1023.238281 457.660156 1023.238281 461.804688 Z M 1023.238281 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="1012.259561" y="466.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 427.253906 C 1070.792969 431.394531 1067.433594 434.753906 1063.292969 434.753906 C 1059.148438 434.753906 1055.792969 431.394531 1055.792969 427.253906 C 1055.792969 423.113281 1059.148438 419.753906 1063.292969 419.753906 C 1067.433594 419.753906 1070.792969 423.113281 1070.792969 427.253906 Z M 1070.792969 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="1059.812387" y="431.559249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 371.351562 C 1052.628906 375.496094 1049.269531 378.851562 1045.128906 378.851562 C 1040.988281 378.851562 1037.628906 375.496094 1037.628906 371.351562 C 1037.628906 367.210938 1040.988281 363.851562 1045.128906 363.851562 C 1049.269531 363.851562 1052.628906 367.210938 1052.628906 371.351562 Z M 1052.628906 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="1041.648824" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 371.351562 C 993.851562 375.496094 990.492188 378.851562 986.351562 378.851562 C 982.207031 378.851562 978.851562 375.496094 978.851562 371.351562 C 978.851562 367.210938 982.207031 363.851562 986.351562 363.851562 C 990.492188 363.851562 993.851562 367.210938 993.851562 371.351562 Z M 993.851562 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="982.870299" y="375.705549"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 427.253906 C 975.6875 431.394531 972.328125 434.753906 968.1875 434.753906 C 964.042969 434.753906 960.6875 431.394531 960.6875 427.253906 C 960.6875 423.113281 964.042969 419.753906 968.1875 419.753906 C 972.328125 419.753906 975.6875 423.113281 975.6875 427.253906 Z M 975.6875 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="961.226736" y="431.607249"/>
-  <use xlink:href="#glyph-2013000-10" x="968.186736" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 507.394531 L 1394.988281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 507.394531 L 1216.914062 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 504.304688 L 1305.949219 469.304688 "/>
@@ -559,45 +243,14 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 427.253906 L 1265.898438 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 375.761719 L 1264.464844 422.847656 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 511.804688 C 1313.449219 515.945312 1310.09375 519.304688 1305.949219 519.304688 C 1301.808594 519.304688 1298.449219 515.945312 1298.449219 511.804688 C 1298.449219 507.660156 1301.808594 504.304688 1305.949219 504.304688 C 1310.09375 504.304688 1313.449219 507.660156 1313.449219 511.804688 Z M 1313.449219 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1302.470865" y="516.117399"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 442.707031 C 1408.554688 446.847656 1405.199219 450.207031 1401.054688 450.207031 C 1396.914062 450.207031 1393.554688 446.847656 1393.554688 442.707031 C 1393.554688 438.5625 1396.914062 435.207031 1401.054688 435.207031 C 1405.199219 435.207031 1408.554688 438.5625 1408.554688 442.707031 Z M 1408.554688 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-2" x="1397.576516" y="447.058098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 330.902344 C 1372.230469 335.042969 1368.871094 338.402344 1364.730469 338.402344 C 1360.585938 338.402344 1357.230469 335.042969 1357.230469 330.902344 C 1357.230469 326.757812 1360.585938 323.402344 1364.730469 323.402344 C 1368.871094 323.402344 1372.230469 326.757812 1372.230469 330.902344 Z M 1372.230469 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-3" x="1361.24939" y="335.254699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 330.902344 C 1254.671875 335.042969 1251.316406 338.402344 1247.171875 338.402344 C 1243.03125 338.402344 1239.671875 335.042969 1239.671875 330.902344 C 1239.671875 326.757812 1243.03125 323.402344 1247.171875 323.402344 C 1251.316406 323.402344 1254.671875 326.757812 1254.671875 330.902344 Z M 1254.671875 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-4" x="1243.692339" y="335.209699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 442.707031 C 1218.34375 446.847656 1214.988281 450.207031 1210.84375 450.207031 C 1206.703125 450.207031 1203.34375 446.847656 1203.34375 442.707031 C 1203.34375 438.5625 1206.703125 435.207031 1210.84375 435.207031 C 1214.988281 435.207031 1218.34375 438.5625 1218.34375 442.707031 Z M 1218.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-5" x="1207.365213" y="447.010098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 461.804688 C 1313.449219 465.945312 1310.09375 469.304688 1305.949219 469.304688 C 1301.808594 469.304688 1298.449219 465.945312 1298.449219 461.804688 C 1298.449219 457.660156 1301.808594 454.304688 1305.949219 454.304688 C 1310.09375 454.304688 1313.449219 457.660156 1313.449219 461.804688 Z M 1313.449219 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-6" x="1302.470865" y="466.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 442.707031 C 1218.34375 446.847656 1214.988281 450.207031 1210.84375 450.207031 C 1206.703125 450.207031 1203.34375 446.847656 1203.34375 442.707031 C 1203.34375 438.5625 1206.703125 435.207031 1210.84375 435.207031 C 1214.988281 435.207031 1218.34375 438.5625 1218.34375 442.707031 Z M 1218.34375 442.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 461.804688 C 1313.449219 465.945312 1310.09375 469.304688 1305.949219 469.304688 C 1301.808594 469.304688 1298.449219 465.945312 1298.449219 461.804688 C 1298.449219 457.660156 1301.808594 454.304688 1305.949219 454.304688 C 1310.09375 454.304688 1313.449219 457.660156 1313.449219 461.804688 Z M 1313.449219 461.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 427.253906 C 1361.003906 431.394531 1357.644531 434.753906 1353.503906 434.753906 C 1349.363281 434.753906 1346.003906 431.394531 1346.003906 427.253906 C 1346.003906 423.113281 1349.363281 419.753906 1353.503906 419.753906 C 1357.644531 419.753906 1361.003906 423.113281 1361.003906 427.253906 Z M 1361.003906 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-7" x="1350.02369" y="431.559249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 371.351562 C 1342.839844 375.496094 1339.480469 378.851562 1335.339844 378.851562 C 1331.199219 378.851562 1327.839844 375.496094 1327.839844 371.351562 C 1327.839844 367.210938 1331.199219 363.851562 1335.339844 363.851562 C 1339.480469 363.851562 1342.839844 367.210938 1342.839844 371.351562 Z M 1342.839844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-8" x="1331.860127" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 371.351562 C 1284.0625 375.496094 1280.703125 378.851562 1276.5625 378.851562 C 1272.417969 378.851562 1269.0625 375.496094 1269.0625 371.351562 C 1269.0625 367.210938 1272.417969 363.851562 1276.5625 363.851562 C 1280.703125 363.851562 1284.0625 367.210938 1284.0625 371.351562 Z M 1284.0625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-9" x="1273.081602" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 427.253906 C 1265.898438 431.394531 1262.539062 434.753906 1258.398438 434.753906 C 1254.257812 434.753906 1250.898438 431.394531 1250.898438 427.253906 C 1250.898438 423.113281 1254.257812 419.753906 1258.398438 419.753906 C 1262.539062 419.753906 1265.898438 423.113281 1265.898438 427.253906 Z M 1265.898438 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2013000-1" x="1251.438039" y="431.607249"/>
-  <use xlink:href="#glyph-2013000-10" x="1258.398039" y="431.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 371.351562 C 1284.0625 375.496094 1280.703125 378.851562 1276.5625 378.851562 C 1272.417969 378.851562 1269.0625 375.496094 1269.0625 371.351562 C 1269.0625 367.210938 1272.417969 363.851562 1276.5625 363.851562 C 1280.703125 363.851562 1284.0625 367.210938 1284.0625 371.351562 Z M 1284.0625 371.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 427.253906 C 1265.898438 431.394531 1262.539062 434.753906 1258.398438 434.753906 C 1254.257812 434.753906 1250.898438 431.394531 1250.898438 427.253906 C 1250.898438 423.113281 1254.257812 419.753906 1258.398438 419.753906 C 1262.539062 419.753906 1265.898438 423.113281 1265.898438 427.253906 Z M 1265.898438 427.253906 "/>
 </g>
 </svg>
diff --git a/dev/generated/DominatingSet/index.html b/dev/generated/DominatingSet/index.html
index bcc33e0c..3b5488fa 100644
--- a/dev/generated/DominatingSet/index.html
+++ b/dev/generated/DominatingSet/index.html
@@ -5,7 +5,38 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="97999130.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We can use <a href="../../ref/#GenericTensorNetworks.DominatingSet"><code>DominatingSet</code></a> to construct the tensor network for solving the dominating set problem as</p><pre><code class="language-julia hljs">problem = DominatingSet(graph; optimizer=TreeSA());</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V,E)$</span> be the target graph that we want to solve. The tensor network representation map a vertex <span>$v\in V$</span> to a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. We defined the restriction on a vertex and its neighboring vertices <span>$N(v)$</span>:</p><p class="math-container">\[T(x_v)_{s_1,s_2,\ldots,s_{|N(v)|},s_v} = \begin{cases}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface16">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We can use <a href="../../ref/#GenericTensorNetworks.DominatingSet"><code>DominatingSet</code></a> to construct the tensor network for solving the dominating set problem as</p><pre><code class="language-julia hljs">problem = DominatingSet(graph; optimizer=TreeSA());</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V,E)$</span> be the target graph that we want to solve. The tensor network representation map a vertex <span>$v\in V$</span> to a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. We defined the restriction on a vertex and its neighboring vertices <span>$N(v)$</span>:</p><p class="math-container">\[T(x_v)_{s_1,s_2,\ldots,s_{|N(v)|},s_v} = \begin{cases}
     0 &amp; s_1=s_2=\ldots=s_{|N(v)|}=s_v=0,\\
     1 &amp; s_v=0,\\
     x_v^{w_v} &amp; \text{otherwise},
@@ -13,4 +44,4 @@
 Space complexity: 2^8.0
 Read-write complexity: 2^11.129926933510392</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="Domination-polynomial"><a class="docs-heading-anchor" href="#Domination-polynomial">Domination polynomial</a><a id="Domination-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#Domination-polynomial" title="Permalink"></a></h5><p>The graph polynomial for the dominating set problem is known as the domination polynomial (see <a href="https://arxiv.org/abs/0905.2251">arXiv:0905.2251</a>). It is defined as</p><p class="math-container">\[D(G, x) = \sum_{k=0}^{\gamma(G)} d_k x^k,\]</p><p>where <span>$d_k$</span> is the number of dominating sets of size <span>$k$</span> in graph <span>$G=(V, E)$</span>.</p><pre><code class="language-julia hljs">domination_polynomial = solve(problem, GraphPolynomial())[]</code></pre>10&#8729;x<sup>3</sup> &#43; 75&#8729;x<sup>4</sup> &#43; 192&#8729;x<sup>5</sup> &#43; 200&#8729;x<sup>6</sup> &#43; 120&#8729;x<sup>7</sup> &#43; 45&#8729;x<sup>8</sup> &#43; 10&#8729;x<sup>9</sup> &#43; x<sup>10</sup><p>The domination number <span>$\gamma(G)$</span> can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> property:</p><pre><code class="language-julia hljs">domination_number = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">3.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a>:</p><pre><code class="language-julia hljs">counting_min_dominating_set = solve(problem, CountingMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(3.0, 10.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-minimum-dominating-set"><a class="docs-heading-anchor" href="#finding-minimum-dominating-set">finding minimum dominating set</a><a id="finding-minimum-dominating-set-1"></a><a class="docs-heading-anchor-permalink" href="#finding-minimum-dominating-set" title="Permalink"></a></h5><p>One can enumerate all minimum dominating sets with the <a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> property in the program.</p><pre><code class="language-julia hljs">min_configs = solve(problem, ConfigsMin())[].c
 
-all(c-&gt;is_dominating_set(graph, c), min_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><pre><code class="language-julia hljs">show_gallery(graph, (2, 5); locs=locations, vertex_configs=min_configs, format=:svg)</code></pre><img src="a050b03b.svg" alt="Example block output"/><p>Similarly, if one is only interested in computing one of the minimum dominating sets, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Coloring/">« Coloring problem</a><a class="docs-footer-nextpage" href="../Satisfiability/">Satisfiability problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+all(c-&gt;is_dominating_set(graph, c), min_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><pre><code class="language-julia hljs">show_gallery(graph, (2, 5); locs=locations, vertex_configs=min_configs, format=:svg)</code></pre><img src="f9ffae21.svg" alt="Example block output"/><p>Similarly, if one is only interested in computing one of the minimum dominating sets, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Coloring/">« Coloring problem</a><a class="docs-footer-nextpage" href="../Satisfiability/">Satisfiability problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/HyperSpinGlass/index.html b/dev/generated/HyperSpinGlass/index.html
index 82eb7418..a4c81e2f 100644
--- a/dev/generated/HyperSpinGlass/index.html
+++ b/dev/generated/HyperSpinGlass/index.html
@@ -19,4 +19,4 @@
 \end{cases}\]</p><p>and the vertex tensor <span>$W^{(v)}$</span> (used to carry labels) is defined as</p><p class="math-container">\[W^{(v)} = \left(\begin{matrix}1_v\\ 1_v\end{matrix}\right)\]</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Minimum-and-maximum-energies"><a class="docs-heading-anchor" href="#Minimum-and-maximum-energies">Minimum and maximum energies</a><a id="Minimum-and-maximum-energies-1"></a><a class="docs-heading-anchor-permalink" href="#Minimum-and-maximum-energies" title="Permalink"></a></h3><p>Its ground state energy is -8.</p><pre><code class="language-julia hljs">Emin = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">-8.0ₜ</code></pre><p>While the state correspond to the highest energy has the ferromagnetic order.</p><pre><code class="language-julia hljs">Emax = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">8.0ₜ</code></pre><p>In this example, the spin configurations can be chosen to make all hyperedges having even or odd spin parity.</p><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="partition-function-and-graph-polynomial"><a class="docs-heading-anchor" href="#partition-function-and-graph-polynomial">partition function and graph polynomial</a><a id="partition-function-and-graph-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#partition-function-and-graph-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the hyper-spin-glass problem is a Laurent polynomial</p><p class="math-container">\[Z(G, w, x) = \sum_{k=E_{\rm min}}^{E_{\rm max}} c_k x^k,\]</p><p>where <span>$E_{\rm min}$</span> and <span>$E_{\rm max}$</span> are minimum and maximum energies, <span>$c_k$</span> is the number of spin configurations with energy <span>$k$</span>. Let the inverse temperature <span>$\beta = 2$</span>, the partition function is</p><pre><code class="language-julia hljs">β = 2.0
 Z = solve(problem, PartitionFunction(β))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">1.315167258498167e9</code></pre><p>The infinite temperature partition function is the counting of all feasible configurations</p><pre><code class="language-julia hljs">solve(problem, PartitionFunction(0.0))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">32768.0</code></pre><p>Let <span>$x = e^\beta$</span>, it corresponds to the partition function of a spin glass at temperature <span>$\beta^{-1}$</span>.</p><pre><code class="language-julia hljs">poly = solve(problem, GraphPolynomial())[]</code></pre>128.0&#8729;x⁻⁸ &#43; 1024.0&#8729;x⁻⁶ &#43; 3584.0&#8729;x⁻⁴ &#43; 7168.0&#8729;x⁻² &#43; 8960.0 &#43; 7168.0&#8729;x² &#43; 3584.0&#8729;x⁴ &#43; 1024.0&#8729;x⁶ &#43; 128.0&#8729;x⁸<h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-a-ground-state"><a class="docs-heading-anchor" href="#finding-a-ground-state">finding a ground state</a><a id="finding-a-ground-state-1"></a><a class="docs-heading-anchor-permalink" href="#finding-a-ground-state" title="Permalink"></a></h5><pre><code class="language-julia hljs">ground_state = solve(problem, SingleConfigMin())[].c.data
 
-Emin_verify = hyperspinglass_energy(hyperedges, ground_state; weights)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">-8</code></pre><p>You should see a consistent result as above <code>Emin</code>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SetPacking/">« Set packing problem</a><a class="docs-footer-nextpage" href="../../gist/">Gist »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+Emin_verify = hyperspinglass_energy(hyperedges, ground_state; weights)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">-8</code></pre><p>You should see a consistent result as above <code>Emin</code>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SetPacking/">« Set packing problem</a><a class="docs-footer-nextpage" href="../../gist/">Gist »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/IndependentSet/863bb5fa.svg b/dev/generated/IndependentSet/863bb5fa.svg
deleted file mode 100644
index 226250af..00000000
--- a/dev/generated/IndependentSet/863bb5fa.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-1191300-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1191300-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface26">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1191300-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-1191300-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/IndependentSet/c140c961.svg b/dev/generated/IndependentSet/c140c961.svg
deleted file mode 100644
index 4731038c..00000000
--- a/dev/generated/IndependentSet/c140c961.svg
+++ /dev/null
@@ -1,323 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="281pt" viewBox="0 0 1451 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-7867970-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-7867970-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface36">
-<rect x="0" y="0" width="1451" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-7867970-10" x="97.552826" y="150.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 528.105469 154.671875 L 496.414062 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 523.289062 159.484375 L 490.003906 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 486.59375 50 L 384.039062 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 489.6875 56.066406 L 469.113281 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 374.222656 57.132812 L 342.527344 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 380.945312 56.066406 L 401.519531 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.34375 159.484375 L 380.632812 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 437.632812 173.769531 L 462.386719 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 433 173.769531 L 408.246094 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 476.800781 141.945312 L 411.996094 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="431.836955" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-2" x="526.942607" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-3" x="490.61548" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-4" x="373.05843" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-5" x="336.731303" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-6" x="431.836955" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-7" x="479.389781" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-8" x="461.226218" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-9" x="402.447692" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="380.804129" y="150.705549"/>
-  <use xlink:href="#glyph-7867970-10" x="387.764129" y="150.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 818.316406 154.671875 L 786.625 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 813.5 159.484375 L 780.214844 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 776.808594 50 L 674.25 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 779.898438 56.066406 L 759.324219 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 664.433594 57.132812 L 632.738281 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 671.15625 56.066406 L 691.730469 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.554688 159.484375 L 670.84375 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 727.847656 173.769531 L 752.601562 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 723.210938 173.769531 L 698.457031 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 141.945312 L 702.207031 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="722.048258" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-2" x="817.15391" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-3" x="780.826783" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-4" x="663.269733" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-5" x="626.942607" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-6" x="722.048258" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-7" x="769.601084" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-8" x="751.437521" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-9" x="692.658996" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="671.015432" y="150.705549"/>
-  <use xlink:href="#glyph-7867970-10" x="677.975432" y="150.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1108.527344 154.671875 L 1076.835938 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1103.710938 159.484375 L 1070.425781 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1067.019531 50 L 964.460938 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.109375 56.066406 L 1049.539062 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 954.644531 57.132812 L 922.953125 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 961.371094 56.066406 L 981.941406 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 927.765625 159.484375 L 961.054688 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1018.058594 173.769531 L 1042.8125 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1013.421875 173.769531 L 988.667969 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1057.226562 141.945312 L 992.417969 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="1012.259561" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-2" x="1107.365213" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-3" x="1071.038087" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-4" x="953.481036" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-5" x="917.15391" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-6" x="1012.259561" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-7" x="1059.812387" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-8" x="1041.648824" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-9" x="982.870299" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="961.226736" y="150.705549"/>
-  <use xlink:href="#glyph-7867970-10" x="968.186736" y="150.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1398.738281 154.671875 L 1367.046875 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1393.921875 159.484375 L 1360.636719 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1357.230469 50 L 1254.671875 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1360.320312 56.066406 L 1339.75 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1244.855469 57.132812 L 1213.164062 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1251.582031 56.066406 L 1272.152344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1217.976562 159.484375 L 1251.265625 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1308.269531 173.769531 L 1333.023438 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1303.632812 173.769531 L 1278.878906 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1347.4375 141.945312 L 1282.628906 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="1302.470865" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-2" x="1397.576516" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-3" x="1361.24939" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-4" x="1243.692339" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-5" x="1207.365213" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-6" x="1302.470865" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-7" x="1350.02369" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-8" x="1331.860127" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-9" x="1273.081602" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-7867970-1" x="1251.438039" y="150.705549"/>
-  <use xlink:href="#glyph-7867970-10" x="1258.398039" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/IndependentSet/c7dd602c.svg b/dev/generated/IndependentSet/c7dd602c.svg
deleted file mode 100644
index b44d4415..00000000
--- a/dev/generated/IndependentSet/c7dd602c.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-2508390-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-2508390-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface31">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2508390-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-2508390-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/IndependentSet/ce135f66.svg b/dev/generated/IndependentSet/ce135f66.svg
new file mode 100644
index 00000000..a3e764f1
--- /dev/null
+++ b/dev/generated/IndependentSet/ce135f66.svg
@@ -0,0 +1,131 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="290pt" viewBox="0 0 1451 290" version="1.1">
+<g id="surface36">
+<rect x="0" y="0" width="1451" height="290" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 528.105469 154.671875 L 496.414062 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 523.289062 159.484375 L 490.003906 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 486.59375 50 L 384.039062 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 489.6875 56.066406 L 469.113281 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 374.222656 57.132812 L 342.527344 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 380.945312 56.066406 L 401.519531 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.34375 159.484375 L 380.632812 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 437.632812 173.769531 L 462.386719 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 433 173.769531 L 408.246094 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 476.800781 141.945312 L 411.996094 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 818.316406 154.671875 L 786.625 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 813.5 159.484375 L 780.214844 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 776.808594 50 L 674.25 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 779.898438 56.066406 L 759.324219 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 664.433594 57.132812 L 632.738281 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 671.15625 56.066406 L 691.730469 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.554688 159.484375 L 670.84375 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 727.847656 173.769531 L 752.601562 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 723.210938 173.769531 L 698.457031 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 141.945312 L 702.207031 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1108.527344 154.671875 L 1076.835938 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1103.710938 159.484375 L 1070.425781 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1067.019531 50 L 964.460938 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.109375 56.066406 L 1049.539062 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 954.644531 57.132812 L 922.953125 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 961.371094 56.066406 L 981.941406 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 927.765625 159.484375 L 961.054688 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1018.058594 173.769531 L 1042.8125 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1013.421875 173.769531 L 988.667969 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1057.226562 141.945312 L 992.417969 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1398.738281 154.671875 L 1367.046875 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1393.921875 159.484375 L 1360.636719 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1357.230469 50 L 1254.671875 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1360.320312 56.066406 L 1339.75 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1244.855469 57.132812 L 1213.164062 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1251.582031 56.066406 L 1272.152344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1217.976562 159.484375 L 1251.265625 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1308.269531 173.769531 L 1333.023438 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1303.632812 173.769531 L 1278.878906 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1347.4375 141.945312 L 1282.628906 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
+</g>
+</svg>
diff --git a/dev/generated/IndependentSet/index.html b/dev/generated/IndependentSet/index.html
index 50c807db..c4a4c0be 100644
--- a/dev/generated/IndependentSet/index.html
+++ b/dev/generated/IndependentSet/index.html
@@ -6,7 +6,38 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="863bb5fa.svg" alt="Example block output"/><p>The graphical display is available in the following editors</p><ul><li>a <a href="https://github.com/julia-vscode/julia-vscode">VSCode</a> editor,</li><li>a <a href="https://github.com/JunoLab/Juno.jl">Jupyter</a> notebook,</li><li>or a <a href="https://github.com/fonsp/Pluto.jl">Pluto</a> notebook,</li></ul><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>The generic tensor network representation of the independent set problem can be constructed with <a href="../../ref/#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a>.</p><pre><code class="language-julia hljs">problem = IndependentSet(graph; optimizer=TreeSA());</code></pre><p>Here, the key word argument <code>optimizer</code> specifies the tensor network contraction order optimizer as a local search based optimizer <a href="../../ref/#OMEinsumContractionOrders.TreeSA"><code>TreeSA</code></a>. The resulting contraction order optimized tensor network is contained in the <code>code</code> field of <code>problem</code>.</p><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V, E)$</span> be a graph with each vertex <span>$v\in V$</span> associated with a weight <span>$w_v$</span>. To reduce the independent set problem on it to a tensor network contraction, we first map a vertex <span>$v\in V$</span> to a label <span>$s_v \in \{0, 1\}$</span> of dimension <span>$2$</span>, where we use <span>$0$</span> (<span>$1$</span>) to denote a vertex absent (present) in the set. For each vertex <span>$v$</span>, we defined a parameterized rank-one tensor indexed by <span>$s_v$</span> as</p><p class="math-container">\[W(x_v^{w_v}) = \left(\begin{matrix}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface26">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>The graphical display is available in the following editors</p><ul><li>a <a href="https://github.com/julia-vscode/julia-vscode">VSCode</a> editor,</li><li>a <a href="https://github.com/JunoLab/Juno.jl">Jupyter</a> notebook,</li><li>or a <a href="https://github.com/fonsp/Pluto.jl">Pluto</a> notebook,</li></ul><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>The generic tensor network representation of the independent set problem can be constructed with <a href="../../ref/#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a>.</p><pre><code class="language-julia hljs">problem = IndependentSet(graph; optimizer=TreeSA());</code></pre><p>Here, the key word argument <code>optimizer</code> specifies the tensor network contraction order optimizer as a local search based optimizer <a href="../../ref/#OMEinsumContractionOrders.TreeSA"><code>TreeSA</code></a>. The resulting contraction order optimized tensor network is contained in the <code>code</code> field of <code>problem</code>.</p><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V, E)$</span> be a graph with each vertex <span>$v\in V$</span> associated with a weight <span>$w_v$</span>. To reduce the independent set problem on it to a tensor network contraction, we first map a vertex <span>$v\in V$</span> to a label <span>$s_v \in \{0, 1\}$</span> of dimension <span>$2$</span>, where we use <span>$0$</span> (<span>$1$</span>) to denote a vertex absent (present) in the set. For each vertex <span>$v$</span>, we defined a parameterized rank-one tensor indexed by <span>$s_v$</span> as</p><p class="math-container">\[W(x_v^{w_v}) = \left(\begin{matrix}
     1 \\
     x_v^{w_v}
     \end{matrix}\right)\]</p><p>where <span>$x_v$</span> is a variable associated with <span>$v$</span>. Similarly, for each edge <span>$(u, v) \in E$</span>, we define a matrix <span>$B$</span> indexed by <span>$s_u$</span> and <span>$s_v$</span> as</p><p class="math-container">\[B = \left(\begin{matrix}
@@ -19,81 +50,126 @@
  10
  30
  30
-  5</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Find-one-best-solution"><a class="docs-heading-anchor" href="#Find-one-best-solution">Find one best solution</a><a id="Find-one-best-solution-1"></a><a class="docs-heading-anchor-permalink" href="#Find-one-best-solution" title="Permalink"></a></h5><p>We can use the bounded or unbounded <a href="../../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a> to find one of the solutions with largest size. The unbounded (default) version uses a joint type of <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> and <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> in computation, where <code>CountingTropical</code> finds the maximum size and <code>ConfigSampler</code> samples one of the best solutions. The bounded version uses the binary gradient back-propagation (see our paper) to compute the gradients. It requires caching intermediate states, but is often faster (on CPU) because it can use <a href="https://github.com/TensorBFS/TropicalGEMM.jl"><code>TropicalGEMM</code></a> (see <a href="../../performancetips/#Performance-Tips">Performance Tips</a>).</p><pre><code class="language-julia hljs">max_config = solve(problem, SingleConfigMax(; bounded=false))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, ConfigSampler{10, 1, 1}(0010111000))ₜ</code></pre><p>The return value has type <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> with its counting field having <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> type. The <code>data</code> field of <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> is a bit string that corresponds to the solution</p><pre><code class="language-julia hljs">single_solution = max_config.c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">0010111000</code></pre><p>This bit string should be read from left to right, with the i-th bit being 1 (0) to indicate the i-th vertex is present (absent) in the set. We can visualize this MIS with the following function.</p><pre><code class="language-julia hljs">show_graph(graph; locs=locations, format=:svg, vertex_colors=
-    [iszero(single_solution[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)])</code></pre><img src="c7dd602c.svg" alt="Example block output"/><h5 id="Enumerate-all-solutions-and-best-several-solutions"><a class="docs-heading-anchor" href="#Enumerate-all-solutions-and-best-several-solutions">Enumerate all solutions and best several solutions</a><a id="Enumerate-all-solutions-and-best-several-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Enumerate-all-solutions-and-best-several-solutions" title="Permalink"></a></h5><p>We can use bounded or unbounded <a href="../../ref/#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a> to find all solutions with largest-K set sizes. In most cases, the bounded (default) version is preferred because it can reduce the memory usage significantly.</p><pre><code class="language-julia hljs">all_max_configs = solve(problem, ConfigsMax(; bounded=true))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, {1001001100, 0100100110, 0101010001, 1010000011, 0010111000})ₜ</code></pre><p>The return value has type <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a>, while its counting field having type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>. The <code>data</code> field of a <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a> instance contains a vector of bit strings.</p><pre><code class="language-julia hljs">all_max_configs.c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">5-element Vector{StaticBitVector{10, 1}}:
- 1001001100
+  5</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Find-one-best-solution"><a class="docs-heading-anchor" href="#Find-one-best-solution">Find one best solution</a><a id="Find-one-best-solution-1"></a><a class="docs-heading-anchor-permalink" href="#Find-one-best-solution" title="Permalink"></a></h5><p>We can use the bounded or unbounded <a href="../../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a> to find one of the solutions with largest size. The unbounded (default) version uses a joint type of <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> and <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> in computation, where <code>CountingTropical</code> finds the maximum size and <code>ConfigSampler</code> samples one of the best solutions. The bounded version uses the binary gradient back-propagation (see our paper) to compute the gradients. It requires caching intermediate states, but is often faster (on CPU) because it can use <a href="https://github.com/TensorBFS/TropicalGEMM.jl"><code>TropicalGEMM</code></a> (see <a href="../../performancetips/#Performance-Tips">Performance Tips</a>).</p><pre><code class="language-julia hljs">max_config = solve(problem, SingleConfigMax(; bounded=false))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, ConfigSampler{10, 1, 1}(0101010001))ₜ</code></pre><p>The return value has type <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> with its counting field having <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> type. The <code>data</code> field of <a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a> is a bit string that corresponds to the solution</p><pre><code class="language-julia hljs">single_solution = max_config.c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">0101010001</code></pre><p>This bit string should be read from left to right, with the i-th bit being 1 (0) to indicate the i-th vertex is present (absent) in the set. We can visualize this MIS with the following function.</p><pre><code class="language-julia hljs">show_graph(graph; locs=locations, format=:svg, vertex_colors=
+    [iszero(single_solution[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)])</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface31">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h5 id="Enumerate-all-solutions-and-best-several-solutions"><a class="docs-heading-anchor" href="#Enumerate-all-solutions-and-best-several-solutions">Enumerate all solutions and best several solutions</a><a id="Enumerate-all-solutions-and-best-several-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Enumerate-all-solutions-and-best-several-solutions" title="Permalink"></a></h5><p>We can use bounded or unbounded <a href="../../ref/#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a> to find all solutions with largest-K set sizes. In most cases, the bounded (default) version is preferred because it can reduce the memory usage significantly.</p><pre><code class="language-julia hljs">all_max_configs = solve(problem, ConfigsMax(; bounded=true))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, {0100100110, 1010000011, 0010111000, 0101010001, 1001001100})ₜ</code></pre><p>The return value has type <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a>, while its counting field having type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>. The <code>data</code> field of a <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a> instance contains a vector of bit strings.</p><pre><code class="language-julia hljs">all_max_configs.c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">5-element Vector{StaticBitVector{10, 1}}:
  0100100110
- 0101010001
  1010000011
- 0010111000</code></pre><p>These solutions can be visualized with the <a href="../../ref/#LuxorGraphPlot.show_gallery"><code>show_gallery</code></a> function.</p><pre><code class="language-julia hljs">show_gallery(graph, (1, length(all_max_configs.c)); locs=locations, vertex_configs=all_max_configs.c, format=:svg)</code></pre><img src="c140c961.svg" alt="Example block output"/><p>We can use <a href="../../ref/#GenericTensorNetworks.ConfigsAll"><code>ConfigsAll</code></a> to enumerate all sets satisfying the independence constraint.</p><pre><code class="language-julia hljs">all_independent_sets = solve(problem, ConfigsAll())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0000000100, 0000010000, 0000100000, 0000100100, 0000110000, 0001000000, 0001000100, 0001010000, 0000000010, 0000000110, 0000100010, 0000100110, 0000000001, 0000010001, 0001000001, 0001010001, 0000000011, 1000000000, 1000000100, 1001000000, 1001000100, 1000000010, 1000000110, 1000000001, 1001000001, 1000000011, 0000001000, 0000001100, 0000011000, 0000101000, 0000101100, 0000111000, 0001001000, 0001001100, 0001011000, 1000001000, 1000001100, 1001001000, 1001001100, 0100000000, 0100000100, 0100010000, 0100100000, 0100100100, 0100110000, 0101000000, 0101000100, 0101010000, 0100000010, 0100000110, 0100100010, 0100100110, 0100000001, 0100010001, 0101000001, 0101010001, 0100000011, 0010000000, 0010010000, 0010100000, 0010110000, 0010000010, 0010100010, 0010000001, 0010010001, 0010000011, 1010000000, 1010000010, 1010000001, 1010000011, 0010001000, 0010011000, 0010101000, 0010111000, 1010001000}</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>.</p><h5 id="Sample-solutions"><a class="docs-heading-anchor" href="#Sample-solutions">Sample solutions</a><a id="Sample-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Sample-solutions" title="Permalink"></a></h5><p>It is often difficult to store all configurations in a vector. A more clever way to store the data is using the sum product tree format.</p><pre><code class="language-julia hljs">all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">+ (count = 76.0)
+ 0010111000
+ 0101010001
+ 1001001100</code></pre><p>These solutions can be visualized with the <a href="../../ref/#LuxorGraphPlot.show_gallery"><code>show_gallery</code></a> function.</p><pre><code class="language-julia hljs">show_gallery(graph, (1, length(all_max_configs.c)); locs=locations, vertex_configs=all_max_configs.c, format=:svg)</code></pre><img src="ce135f66.svg" alt="Example block output"/><p>We can use <a href="../../ref/#GenericTensorNetworks.ConfigsAll"><code>ConfigsAll</code></a> to enumerate all sets satisfying the independence constraint.</p><pre><code class="language-julia hljs">all_independent_sets = solve(problem, ConfigsAll())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0100000000, 0000001000, 0000010000, 0100010000, 0000011000, 0000000100, 0100000100, 0000001100, 0000000001, 0100000001, 0000010001, 0100010001, 1000000000, 1000001000, 1000000100, 1000001100, 1000000001, 0000000010, 0100000010, 0000000110, 0100000110, 0000000011, 0100000011, 1000000010, 1000000110, 1000000011, 0000100000, 0100100000, 0000101000, 0000110000, 0100110000, 0000111000, 0000100100, 0100100100, 0000101100, 0000100010, 0100100010, 0000100110, 0100100110, 0010000000, 0010001000, 0010010000, 0010011000, 0010000001, 0010010001, 1010000000, 1010001000, 1010000001, 0010000010, 0010000011, 1010000010, 1010000011, 0010100000, 0010101000, 0010110000, 0010111000, 0010100010, 0001000000, 0101000000, 0001001000, 0001010000, 0101010000, 0001011000, 0001000100, 0101000100, 0001001100, 0001000001, 0101000001, 0001010001, 0101010001, 1001000000, 1001001000, 1001000100, 1001001100, 1001000001}</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>.</p><h5 id="Sample-solutions"><a class="docs-heading-anchor" href="#Sample-solutions">Sample solutions</a><a id="Sample-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Sample-solutions" title="Permalink"></a></h5><p>It is often difficult to store all configurations in a vector. A more clever way to store the data is using the sum product tree format.</p><pre><code class="language-julia hljs">all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">+ (count = 76.0)
 ├─ + (count = 58.0)
 │  ├─ + (count = 40.0)
-│  │  ├─ + (count = 36.0)
-│  │  │  ├─ + (count = 27.0)
-│  │  │  │  ├─ + (count = 18.0)
+│  │  ├─ + (count = 27.0)
+│  │  │  ├─ + (count = 18.0)
+│  │  │  │  ├─ + (count = 17.0)
 │  │  │  │  │  ⋮
 │  │  │  │  │  
-│  │  │  │  └─ * (count = 9.0)
+│  │  │  │  └─ * (count = 1.0)
 │  │  │  │     ⋮
 │  │  │  │     
-│  │  │  └─ * (count = 9.0)
-│  │  │     ├─ OnehotVec{10, 2}(7, 1)
-│  │  │     └─ * (count = 9.0)
+│  │  │  └─ + (count = 9.0)
+│  │  │     ├─ + (count = 8.0)
+│  │  │     │  ⋮
+│  │  │     │  
+│  │  │     └─ * (count = 1.0)
 │  │  │        ⋮
 │  │  │        
-│  │  └─ * (count = 4.0)
-│  │     ├─ * (count = 1.0)
-│  │     │  ├─ OnehotVec{10, 2}(1, 1)
-│  │     │  └─ OnehotVec{10, 2}(7, 1)
-│  │     └─ * (count = 4.0)
-│  │        ├─ + (count = 2.0)
+│  │  └─ * (count = 13.0)
+│  │     ├─ OnehotVec{10, 2}(5, 1)
+│  │     └─ + (count = 13.0)
+│  │        ├─ * (count = 9.0)
 │  │        │  ⋮
 │  │        │  
-│  │        └─ + (count = 2.0)
+│  │        └─ * (count = 4.0)
 │  │           ⋮
 │  │           
-│  └─ * (count = 18.0)
-│     ├─ + (count = 18.0)
-│     │  ├─ + (count = 17.0)
-│     │  │  ├─ + (count = 13.0)
+│  └─ + (count = 18.0)
+│     ├─ + (count = 13.0)
+│     │  ├─ + (count = 9.0)
+│     │  │  ├─ + (count = 8.0)
 │     │  │  │  ⋮
 │     │  │  │  
-│     │  │  └─ * (count = 4.0)
+│     │  │  └─ * (count = 1.0)
 │     │  │     ⋮
 │     │  │     
-│     │  └─ * (count = 1.0)
-│     │     ├─ OnehotVec{10, 2}(10, 1)
-│     │     └─ OnehotVec{10, 2}(9, 1)
-│     └─ OnehotVec{10, 2}(2, 1)
+│     │  └─ + (count = 4.0)
+│     │     ├─ + (count = 3.0)
+│     │     │  ⋮
+│     │     │  
+│     │     └─ * (count = 1.0)
+│     │        ⋮
+│     │        
+│     └─ * (count = 5.0)
+│        ├─ OnehotVec{10, 2}(5, 1)
+│        └─ + (count = 5.0)
+│           ├─ * (count = 4.0)
+│           │  ⋮
+│           │  
+│           └─ * (count = 1.0)
+│              ⋮
+│              
 └─ * (count = 18.0)
-   ├─ OnehotVec{10, 2}(3, 1)
+   ├─ OnehotVec{10, 2}(4, 1)
    └─ + (count = 18.0)
       ├─ + (count = 17.0)
       │  ├─ + (count = 13.0)
-      │  │  ├─ + (count = 9.0)
+      │  │  ├─ * (count = 9.0)
       │  │  │  ⋮
       │  │  │  
       │  │  └─ * (count = 4.0)
       │  │     ⋮
       │  │     
       │  └─ * (count = 4.0)
-      │     ├─ OnehotVec{10, 2}(7, 1)
-      │     └─ * (count = 4.0)
+      │     ├─ + (count = 2.0)
+      │     │  ⋮
+      │     │  
+      │     └─ + (count = 2.0)
       │        ⋮
       │        
       └─ * (count = 1.0)
-         ├─ OnehotVec{10, 2}(1, 1)
-         └─ OnehotVec{10, 2}(7, 1)
+         ├─ OnehotVec{10, 2}(10, 1)
+         └─ OnehotVec{10, 2}(1, 1)
 </code></pre><p>The return value has the <a href="../../ref/#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> type. Its length corresponds to the number of configurations.</p><pre><code class="language-julia hljs">length(all_independent_sets_tree)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">76.0</code></pre><p>We can use <code>Base.collect</code> function to create a <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a> or use <a href="../../ref/#GenericTensorNetworks.generate_samples"><code>generate_samples</code></a> to generate samples from it.</p><pre><code class="language-julia hljs">collect(all_independent_sets_tree)
 
 generate_samples(all_independent_sets_tree, 10)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">10-element Vector{StaticBitVector{10, 1}}:
+ 1000001100
+ 0000000010
+ 0000000011
+ 0100000011
+ 1000000011
+ 0010011000
+ 0010000001
  0001000000
- 0000000100
- 0001000001
- 0001000001
- 1000000000
- 0000101000
- 0000011000
- 1001001100
- 0101010001
- 0010100000</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../">« Home</a><a class="docs-footer-nextpage" href="../MaximalIS/">Maximal independent set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ 1001000001
+ 1001000001</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../">« Home</a><a class="docs-footer-nextpage" href="../MaximalIS/">Maximal independent set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/Matching/7c793104.svg b/dev/generated/Matching/7c793104.svg
deleted file mode 100644
index b9529924..00000000
--- a/dev/generated/Matching/7c793104.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-5653640-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5653640-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface46">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5653640-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-5653640-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/Matching/c9a3dba2.svg b/dev/generated/Matching/c9a3dba2.svg
deleted file mode 100644
index bb1bded5..00000000
--- a/dev/generated/Matching/c9a3dba2.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-4435530-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-4435530-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface41">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-4435530-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-4435530-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/Matching/index.html b/dev/generated/Matching/index.html
index 8a63032a..d269da2a 100644
--- a/dev/generated/Matching/index.html
+++ b/dev/generated/Matching/index.html
@@ -3,11 +3,73 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="c9a3dba2.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We construct the tensor network for the matching problem by typing</p><pre><code class="language-julia hljs">problem = Matching(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.Matching"><code>Matching</code></a> can be used for constructing the tensor network with optimized contraction order for a matching problem. We map an edge <span>$(u, v) \in E$</span> to a label <span>$\langle u, v\rangle \in \{0, 1\}$</span> in a tensor network, where 1 means two vertices of an edge are matched, 0 means otherwise. Then we define a tensor of rank <span>$d(v) = |N(v)|$</span> on vertex <span>$v$</span> such that,</p><p class="math-container">\[W_{\langle v, n_1\rangle, \langle v, n_2 \rangle, \ldots, \langle v, n_{d(v)}\rangle} = \begin{cases}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface41">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We construct the tensor network for the matching problem by typing</p><pre><code class="language-julia hljs">problem = Matching(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.Matching"><code>Matching</code></a> can be used for constructing the tensor network with optimized contraction order for a matching problem. We map an edge <span>$(u, v) \in E$</span> to a label <span>$\langle u, v\rangle \in \{0, 1\}$</span> in a tensor network, where 1 means two vertices of an edge are matched, 0 means otherwise. Then we define a tensor of rank <span>$d(v) = |N(v)|$</span> on vertex <span>$v$</span> such that,</p><p class="math-container">\[W_{\langle v, n_1\rangle, \langle v, n_2 \rangle, \ldots, \langle v, n_{d(v)}\rangle} = \begin{cases}
     1, &amp; \sum_{i=1}^{d(v)} \langle v, n_i \rangle \leq 1,\\
     0, &amp; \text{otherwise},
 \end{cases}\]</p><p>and a tensor of rank 1 on the bond</p><p class="math-container">\[B_{\langle v, w\rangle} = \begin{cases}
 1, &amp; \langle v, w \rangle = 0 \\
 x, &amp; \langle v, w \rangle = 1,
 \end{cases}\]</p><p>where label <span>$\langle v, w \rangle$</span> is equivalent to <span>$\langle w,v\rangle$</span>.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Maximum-matching"><a class="docs-heading-anchor" href="#Maximum-matching">Maximum matching</a><a id="Maximum-matching-1"></a><a class="docs-heading-anchor-permalink" href="#Maximum-matching" title="Permalink"></a></h3><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><pre><code class="language-julia hljs">max_matching = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">5.0ₜ</code></pre><p>The largest number of matching is 5, which means we have a perfect matching (vertices are all paired).</p><h5 id="matching-polynomial"><a class="docs-heading-anchor" href="#matching-polynomial">matching polynomial</a><a id="matching-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#matching-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the matching problem is known as the matching polynomial. Here, we adopt the first definition in the <a href="https://en.wikipedia.org/wiki/Matching_polynomial">wiki page</a>.</p><p class="math-container">\[M(G, x) = \sum\limits_{k=1}^{|V|/2} c_k x^k,\]</p><p>where <span>$k$</span> is the number of matches, and coefficients <span>$c_k$</span> are the corresponding counting.</p><pre><code class="language-julia hljs">matching_poly = solve(problem, GraphPolynomial())[]</code></pre>1 &#43; 15&#8729;x &#43; 75&#8729;x<sup>2</sup> &#43; 145&#8729;x<sup>3</sup> &#43; 90&#8729;x<sup>4</sup> &#43; 6&#8729;x<sup>5</sup><h2 id="Configuration-properties-2"><a class="docs-heading-anchor" href="#Configuration-properties-2">Configuration properties</a><a class="docs-heading-anchor-permalink" href="#Configuration-properties-2" title="Permalink"></a></h2><h5 id="one-of-the-perfect-matches"><a class="docs-heading-anchor" href="#one-of-the-perfect-matches">one of the perfect matches</a><a id="one-of-the-perfect-matches-1"></a><a class="docs-heading-anchor-permalink" href="#one-of-the-perfect-matches" title="Permalink"></a></h5><pre><code class="language-julia hljs">match_config = solve(problem, SingleConfigMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(5.0, ConfigSampler{15, 1, 1}(010011000001001))ₜ</code></pre><p>Let us show the result by coloring the matched edges to red</p><pre><code class="language-julia hljs">show_graph(graph; locs=locations, format=:svg, edge_colors=
-    [isone(match_config.c.data[i]) ? &quot;red&quot; : &quot;black&quot; for i=1:ne(graph)])</code></pre><img src="7c793104.svg" alt="Example block output"/><p>where we use edges with red color to related pairs of matched vertices.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../MaxCut/">« Cutting problem</a><a class="docs-footer-nextpage" href="../PaintShop/">Binary paint shop problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+    [isone(match_config.c.data[i]) ? &quot;red&quot; : &quot;black&quot; for i=1:ne(graph)])</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface46">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>where we use edges with red color to related pairs of matched vertices.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../MaxCut/">« Cutting problem</a><a class="docs-footer-nextpage" href="../PaintShop/">Binary paint shop problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/MaxCut/97eceb8a.svg b/dev/generated/MaxCut/97eceb8a.svg
deleted file mode 100644
index 01739a34..00000000
--- a/dev/generated/MaxCut/97eceb8a.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-5566590-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5566590-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface56">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5566590-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-5566590-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/MaxCut/bfcbaa5b.svg b/dev/generated/MaxCut/bfcbaa5b.svg
deleted file mode 100644
index 2971429a..00000000
--- a/dev/generated/MaxCut/bfcbaa5b.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-1777900-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1777900-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface51">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1777900-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-1777900-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/MaxCut/index.html b/dev/generated/MaxCut/index.html
index 0feb481b..70407205 100644
--- a/dev/generated/MaxCut/index.html
+++ b/dev/generated/MaxCut/index.html
@@ -3,7 +3,38 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="bfcbaa5b.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We define the cutting problem as</p><pre><code class="language-julia hljs">problem = MaxCut(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>We associated a vertex <span>$v\in V$</span> with a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. Then the maximum cutting problem can be encoded to tensor networks by mapping an edge <span>$(i,j)\in E$</span> to an edge matrix labelled by <span>$s_i$</span> and <span>$s_j$</span></p><p class="math-container">\[B(x_i, x_j, w_{ij}) = \left(\begin{matrix}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface51">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We define the cutting problem as</p><pre><code class="language-julia hljs">problem = MaxCut(graph);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>We associated a vertex <span>$v\in V$</span> with a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. Then the maximum cutting problem can be encoded to tensor networks by mapping an edge <span>$(i,j)\in E$</span> to an edge matrix labelled by <span>$s_i$</span> and <span>$s_j$</span></p><p class="math-container">\[B(x_i, x_j, w_{ij}) = \left(\begin{matrix}
     1 &amp; x_{i}^{w_{ij}}\\
     x_{j}^{w_{ij}} &amp; 1
 \end{matrix}\right),\]</p><p>where <span>$w_{ij}$</span> is a real number associated with edge <span>$(i, j)$</span> as the edge weight. If and only if the bipartition cuts on edge <span>$(i, j)$</span>, this tensor contributes a factor <span>$x_{i}^{w_{ij}}$</span> or <span>$x_{j}^{w_{ij}}$</span>. Similarly, one can assign weights to vertices, which corresponds to the onsite energy terms in the spin glass. The vertex tensor is</p><p class="math-container">\[W(x_i, w_i) = \left(\begin{matrix}
@@ -12,4 +43,35 @@
 \end{matrix}\right),\]</p><p>where <span>$w_i$</span> is a real number associated with vertex <span>$i$</span> as the vertex weight.</p><p>Its contraction time space complexity is <span>$2^{{\rm tw}(G)}$</span>, where <span>${\rm tw(G)}$</span> is the <a href="https://en.wikipedia.org/wiki/Treewidth">tree-width</a> of <span>$G$</span>.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Maximum-cut-size-\\gamma(G)"><a class="docs-heading-anchor" href="#Maximum-cut-size-\\gamma(G)">Maximum cut size <span>$\gamma(G)$</span></a><a id="Maximum-cut-size-\\gamma(G)-1"></a><a class="docs-heading-anchor-permalink" href="#Maximum-cut-size-\\gamma(G)" title="Permalink"></a></h3><pre><code class="language-julia hljs">max_cut_size = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">12.0ₜ</code></pre><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="graph-polynomial"><a class="docs-heading-anchor" href="#graph-polynomial">graph polynomial</a><a id="graph-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#graph-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the cutting problem is</p><p class="math-container">\[C(G, x) = \sum_{k=0}^{\gamma(G)} c_k x^k,\]</p><p>where <span>$\gamma(G)$</span> is the maximum cut size, <span>$c_k/2$</span> is the number of cuts of size <span>$k$</span> in graph <span>$G=(V,E)$</span>. Since the variable <span>$x$</span> is defined on edges, the coefficients of the polynomial is the number of configurations having different number of anti-parallel edges.</p><pre><code class="language-julia hljs">max_config = solve(problem, GraphPolynomial())[]</code></pre>2 &#43; 20&#8729;x<sup>3</sup> &#43; 30&#8729;x<sup>4</sup> &#43; 72&#8729;x<sup>5</sup> &#43; 200&#8729;x<sup>6</sup> &#43; 240&#8729;x<sup>7</sup> &#43; 150&#8729;x<sup>8</sup> &#43; 120&#8729;x<sup>9</sup> &#43; 120&#8729;x<sup>10</sup> &#43; 60&#8729;x<sup>11</sup> &#43; 10&#8729;x<sup>12</sup><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-one-max-cut-solution"><a class="docs-heading-anchor" href="#finding-one-max-cut-solution">finding one max cut solution</a><a id="finding-one-max-cut-solution-1"></a><a class="docs-heading-anchor-permalink" href="#finding-one-max-cut-solution" title="Permalink"></a></h5><pre><code class="language-julia hljs">max_vertex_config = solve(problem, SingleConfigMax())[].c.data
 
 max_cut_size_verify = cut_size(graph, max_vertex_config)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">0x000000000000000c</code></pre><p>You should see a consistent result as above <code>max_cut_size</code>.</p><pre><code class="language-julia hljs">show_graph(graph; locs=locations, vertex_colors=[
-        iszero(max_vertex_config[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)], format=:svg)</code></pre><img src="97eceb8a.svg" alt="Example block output"/><p>where red vertices and white vertices are separated by the cut.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SpinGlass/">« Spin glass problem</a><a class="docs-footer-nextpage" href="../Matching/">Vertex matching problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+        iszero(max_vertex_config[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)], format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface56">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>where red vertices and white vertices are separated by the cut.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SpinGlass/">« Spin glass problem</a><a class="docs-footer-nextpage" href="../Matching/">Vertex matching problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/MaximalIS/678e44d9.svg b/dev/generated/MaximalIS/678e44d9.svg
deleted file mode 100644
index 68685110..00000000
--- a/dev/generated/MaximalIS/678e44d9.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-6559790-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-6559790-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface61">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-6559790-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-6559790-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/MaximalIS/dded1bba.svg b/dev/generated/MaximalIS/6904a94b.svg
similarity index 57%
rename from dev/generated/MaximalIS/dded1bba.svg
rename to dev/generated/MaximalIS/6904a94b.svg
index c4c508f7..a06fd9a9 100644
--- a/dev/generated/MaximalIS/dded1bba.svg
+++ b/dev/generated/MaximalIS/6904a94b.svg
@@ -1,44 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="843pt" viewBox="0 0 1451 843" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-9929820-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9929820-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="871pt" viewBox="0 0 1451 871" version="1.1">
 <g id="surface66">
-<rect x="0" y="0" width="1451" height="843" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<rect x="0" y="0" width="1451" height="871" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
@@ -55,46 +18,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="141.625652" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="236.731303" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="141.625652" y="185.206699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="171.014914" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="112.236389" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-9929820-10" x="97.552826" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
@@ -111,46 +43,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="431.836955" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="526.942607" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="490.61548" y="54.353"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="373.05843" y="54.308"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="336.731303" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="431.836955" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="479.389781" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="461.226218" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="402.447692" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="380.804129" y="150.705549"/>
-  <use xlink:href="#glyph-9929820-10" x="387.764129" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
@@ -166,47 +67,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 141.945312 L 702.207031 94.859375 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="722.048258" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="817.15391" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="780.826783" y="54.353"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="663.269733" y="54.308"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="626.942607" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="722.048258" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="769.601084" y="150.657549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="751.437521" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="692.658996" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="671.015432" y="150.705549"/>
-  <use xlink:href="#glyph-9929820-10" x="677.975432" y="150.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
@@ -223,46 +93,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1012.259561" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1107.365213" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1071.038087" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="953.481036" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="917.15391" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1012.259561" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1059.812387" y="150.657549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1041.648824" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="982.870299" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="961.226736" y="150.705549"/>
-  <use xlink:href="#glyph-9929820-10" x="968.186736" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
@@ -279,46 +118,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1302.470865" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1397.576516" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1361.24939" y="54.353"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="1243.692339" y="54.308"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="1207.365213" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1302.470865" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1350.02369" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1331.860127" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="1273.081602" y="94.80385"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1251.438039" y="150.705549"/>
-  <use xlink:href="#glyph-9929820-10" x="1258.398039" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 507.394531 L 234.144531 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 507.394531 L 56.066406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 504.304688 L 145.105469 469.304688 "/>
@@ -335,46 +143,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 427.253906 L 105.054688 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 375.761719 L 103.621094 422.847656 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 511.804688 C 152.605469 515.945312 149.246094 519.304688 145.105469 519.304688 C 140.964844 519.304688 137.605469 515.945312 137.605469 511.804688 C 137.605469 507.660156 140.964844 504.304688 145.105469 504.304688 C 149.246094 504.304688 152.605469 507.660156 152.605469 511.804688 Z M 152.605469 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="141.625652" y="516.117399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 442.707031 C 247.710938 446.847656 244.351562 450.207031 240.210938 450.207031 C 236.070312 450.207031 232.710938 446.847656 232.710938 442.707031 C 232.710938 438.5625 236.070312 435.207031 240.210938 435.207031 C 244.351562 435.207031 247.710938 438.5625 247.710938 442.707031 Z M 247.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="236.731303" y="447.058098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 330.902344 C 211.382812 335.042969 208.027344 338.402344 203.882812 338.402344 C 199.742188 338.402344 196.382812 335.042969 196.382812 330.902344 C 196.382812 326.757812 199.742188 323.402344 203.882812 323.402344 C 208.027344 323.402344 211.382812 326.757812 211.382812 330.902344 Z M 211.382812 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="200.404177" y="335.254699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="82.847126" y="335.209699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 442.707031 C 57.5 446.847656 54.140625 450.207031 50 450.207031 C 45.859375 450.207031 42.5 446.847656 42.5 442.707031 C 42.5 438.5625 45.859375 435.207031 50 435.207031 C 54.140625 435.207031 57.5 438.5625 57.5 442.707031 Z M 57.5 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="46.52" y="447.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 461.804688 C 152.605469 465.945312 149.246094 469.304688 145.105469 469.304688 C 140.964844 469.304688 137.605469 465.945312 137.605469 461.804688 C 137.605469 457.660156 140.964844 454.304688 145.105469 454.304688 C 149.246094 454.304688 152.605469 457.660156 152.605469 461.804688 Z M 152.605469 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="141.625652" y="466.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 427.253906 C 200.160156 431.394531 196.800781 434.753906 192.660156 434.753906 C 188.515625 434.753906 185.160156 431.394531 185.160156 427.253906 C 185.160156 423.113281 188.515625 419.753906 192.660156 419.753906 C 196.800781 419.753906 200.160156 423.113281 200.160156 427.253906 Z M 200.160156 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="189.178477" y="431.559249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 371.351562 C 181.996094 375.496094 178.636719 378.851562 174.496094 378.851562 C 170.351562 378.851562 166.996094 375.496094 166.996094 371.351562 C 166.996094 367.210938 170.351562 363.851562 174.496094 363.851562 C 178.636719 363.851562 181.996094 367.210938 181.996094 371.351562 Z M 181.996094 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="171.014914" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 371.351562 C 123.214844 375.496094 119.859375 378.851562 115.714844 378.851562 C 111.574219 378.851562 108.214844 375.496094 108.214844 371.351562 C 108.214844 367.210938 111.574219 363.851562 115.714844 363.851562 C 119.859375 363.851562 123.214844 367.210938 123.214844 371.351562 Z M 123.214844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="112.236389" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 427.253906 C 105.054688 431.394531 101.695312 434.753906 97.554688 434.753906 C 93.410156 434.753906 90.054688 431.394531 90.054688 427.253906 C 90.054688 423.113281 93.410156 419.753906 97.554688 419.753906 C 101.695312 419.753906 105.054688 423.113281 105.054688 427.253906 Z M 105.054688 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="90.592826" y="431.607249"/>
-  <use xlink:href="#glyph-9929820-10" x="97.552826" y="431.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 371.351562 C 181.996094 375.496094 178.636719 378.851562 174.496094 378.851562 C 170.351562 378.851562 166.996094 375.496094 166.996094 371.351562 C 166.996094 367.210938 170.351562 363.851562 174.496094 363.851562 C 178.636719 363.851562 181.996094 367.210938 181.996094 371.351562 Z M 181.996094 371.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 371.351562 C 123.214844 375.496094 119.859375 378.851562 115.714844 378.851562 C 111.574219 378.851562 108.214844 375.496094 108.214844 371.351562 C 108.214844 367.210938 111.574219 363.851562 115.714844 363.851562 C 119.859375 363.851562 123.214844 367.210938 123.214844 371.351562 Z M 123.214844 371.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 427.253906 C 105.054688 431.394531 101.695312 434.753906 97.554688 434.753906 C 93.410156 434.753906 90.054688 431.394531 90.054688 427.253906 C 90.054688 423.113281 93.410156 419.753906 97.554688 419.753906 C 101.695312 419.753906 105.054688 423.113281 105.054688 427.253906 Z M 105.054688 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 507.394531 L 524.355469 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 507.394531 L 346.277344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 504.304688 L 435.316406 469.304688 "/>
@@ -390,47 +167,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 476.800781 422.847656 L 411.996094 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 427.253906 L 395.265625 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 375.761719 L 393.832031 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 511.804688 C 442.816406 515.945312 439.460938 519.304688 435.316406 519.304688 C 431.175781 519.304688 427.816406 515.945312 427.816406 511.804688 C 427.816406 507.660156 431.175781 504.304688 435.316406 504.304688 C 439.460938 504.304688 442.816406 507.660156 442.816406 511.804688 Z M 442.816406 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="431.836955" y="516.117399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 442.707031 C 537.921875 446.847656 534.566406 450.207031 530.421875 450.207031 C 526.28125 450.207031 522.921875 446.847656 522.921875 442.707031 C 522.921875 438.5625 526.28125 435.207031 530.421875 435.207031 C 534.566406 435.207031 537.921875 438.5625 537.921875 442.707031 Z M 537.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="526.942607" y="447.058098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 330.902344 C 501.59375 335.042969 498.238281 338.402344 494.09375 338.402344 C 489.953125 338.402344 486.59375 335.042969 486.59375 330.902344 C 486.59375 326.757812 489.953125 323.402344 494.09375 323.402344 C 498.238281 323.402344 501.59375 326.757812 501.59375 330.902344 Z M 501.59375 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="490.61548" y="335.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 330.902344 C 384.039062 335.042969 380.679688 338.402344 376.539062 338.402344 C 372.394531 338.402344 369.039062 335.042969 369.039062 330.902344 C 369.039062 326.757812 372.394531 323.402344 376.539062 323.402344 C 380.679688 323.402344 384.039062 326.757812 384.039062 330.902344 Z M 384.039062 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="373.05843" y="335.209699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 511.804688 C 442.816406 515.945312 439.460938 519.304688 435.316406 519.304688 C 431.175781 519.304688 427.816406 515.945312 427.816406 511.804688 C 427.816406 507.660156 431.175781 504.304688 435.316406 504.304688 C 439.460938 504.304688 442.816406 507.660156 442.816406 511.804688 Z M 442.816406 511.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 442.707031 C 537.921875 446.847656 534.566406 450.207031 530.421875 450.207031 C 526.28125 450.207031 522.921875 446.847656 522.921875 442.707031 C 522.921875 438.5625 526.28125 435.207031 530.421875 435.207031 C 534.566406 435.207031 537.921875 438.5625 537.921875 442.707031 Z M 537.921875 442.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 330.902344 C 501.59375 335.042969 498.238281 338.402344 494.09375 338.402344 C 489.953125 338.402344 486.59375 335.042969 486.59375 330.902344 C 486.59375 326.757812 489.953125 323.402344 494.09375 323.402344 C 498.238281 323.402344 501.59375 326.757812 501.59375 330.902344 Z M 501.59375 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 330.902344 C 384.039062 335.042969 380.679688 338.402344 376.539062 338.402344 C 372.394531 338.402344 369.039062 335.042969 369.039062 330.902344 C 369.039062 326.757812 372.394531 323.402344 376.539062 323.402344 C 380.679688 323.402344 384.039062 326.757812 384.039062 330.902344 Z M 384.039062 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 442.707031 C 347.710938 446.847656 344.351562 450.207031 340.210938 450.207031 C 336.070312 450.207031 332.710938 446.847656 332.710938 442.707031 C 332.710938 438.5625 336.070312 435.207031 340.210938 435.207031 C 344.351562 435.207031 347.710938 438.5625 347.710938 442.707031 Z M 347.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="336.731303" y="447.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 461.804688 C 442.816406 465.945312 439.460938 469.304688 435.316406 469.304688 C 431.175781 469.304688 427.816406 465.945312 427.816406 461.804688 C 427.816406 457.660156 431.175781 454.304688 435.316406 454.304688 C 439.460938 454.304688 442.816406 457.660156 442.816406 461.804688 Z M 442.816406 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="431.836955" y="466.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="479.389781" y="431.559249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 371.351562 C 472.207031 375.496094 468.847656 378.851562 464.707031 378.851562 C 460.5625 378.851562 457.207031 375.496094 457.207031 371.351562 C 457.207031 367.210938 460.5625 363.851562 464.707031 363.851562 C 468.847656 363.851562 472.207031 367.210938 472.207031 371.351562 Z M 472.207031 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="461.226218" y="375.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 371.351562 C 472.207031 375.496094 468.847656 378.851562 464.707031 378.851562 C 460.5625 378.851562 457.207031 375.496094 457.207031 371.351562 C 457.207031 367.210938 460.5625 363.851562 464.707031 363.851562 C 468.847656 363.851562 472.207031 367.210938 472.207031 371.351562 Z M 472.207031 371.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 371.351562 C 413.425781 375.496094 410.070312 378.851562 405.925781 378.851562 C 401.785156 378.851562 398.425781 375.496094 398.425781 371.351562 C 398.425781 367.210938 401.785156 363.851562 405.925781 363.851562 C 410.070312 363.851562 413.425781 367.210938 413.425781 371.351562 Z M 413.425781 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="402.447692" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 427.253906 C 395.265625 431.394531 391.90625 434.753906 387.765625 434.753906 C 383.621094 434.753906 380.265625 431.394531 380.265625 427.253906 C 380.265625 423.113281 383.621094 419.753906 387.765625 419.753906 C 391.90625 419.753906 395.265625 423.113281 395.265625 427.253906 Z M 395.265625 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="380.804129" y="431.607249"/>
-  <use xlink:href="#glyph-9929820-10" x="387.764129" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 507.394531 L 814.566406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 507.394531 L 636.488281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 504.304688 L 725.527344 469.304688 "/>
@@ -446,47 +192,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 422.847656 L 702.207031 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 427.253906 L 685.476562 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 375.761719 L 684.042969 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 511.804688 C 733.027344 515.945312 729.671875 519.304688 725.527344 519.304688 C 721.386719 519.304688 718.027344 515.945312 718.027344 511.804688 C 718.027344 507.660156 721.386719 504.304688 725.527344 504.304688 C 729.671875 504.304688 733.027344 507.660156 733.027344 511.804688 Z M 733.027344 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="722.048258" y="516.117399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 442.707031 C 828.132812 446.847656 824.777344 450.207031 820.632812 450.207031 C 816.492188 450.207031 813.132812 446.847656 813.132812 442.707031 C 813.132812 438.5625 816.492188 435.207031 820.632812 435.207031 C 824.777344 435.207031 828.132812 438.5625 828.132812 442.707031 Z M 828.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="817.15391" y="447.058098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 511.804688 C 733.027344 515.945312 729.671875 519.304688 725.527344 519.304688 C 721.386719 519.304688 718.027344 515.945312 718.027344 511.804688 C 718.027344 507.660156 721.386719 504.304688 725.527344 504.304688 C 729.671875 504.304688 733.027344 507.660156 733.027344 511.804688 Z M 733.027344 511.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 442.707031 C 828.132812 446.847656 824.777344 450.207031 820.632812 450.207031 C 816.492188 450.207031 813.132812 446.847656 813.132812 442.707031 C 813.132812 438.5625 816.492188 435.207031 820.632812 435.207031 C 824.777344 435.207031 828.132812 438.5625 828.132812 442.707031 Z M 828.132812 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 330.902344 C 791.808594 335.042969 788.449219 338.402344 784.308594 338.402344 C 780.164062 338.402344 776.808594 335.042969 776.808594 330.902344 C 776.808594 326.757812 780.164062 323.402344 784.308594 323.402344 C 788.449219 323.402344 791.808594 326.757812 791.808594 330.902344 Z M 791.808594 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="780.826783" y="335.254699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 330.902344 C 674.25 335.042969 670.890625 338.402344 666.75 338.402344 C 662.609375 338.402344 659.25 335.042969 659.25 330.902344 C 659.25 326.757812 662.609375 323.402344 666.75 323.402344 C 670.890625 323.402344 674.25 326.757812 674.25 330.902344 Z M 674.25 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="663.269733" y="335.209699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 442.707031 C 637.921875 446.847656 634.566406 450.207031 630.421875 450.207031 C 626.28125 450.207031 622.921875 446.847656 622.921875 442.707031 C 622.921875 438.5625 626.28125 435.207031 630.421875 435.207031 C 634.566406 435.207031 637.921875 438.5625 637.921875 442.707031 Z M 637.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="626.942607" y="447.010098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 330.902344 C 674.25 335.042969 670.890625 338.402344 666.75 338.402344 C 662.609375 338.402344 659.25 335.042969 659.25 330.902344 C 659.25 326.757812 662.609375 323.402344 666.75 323.402344 C 670.890625 323.402344 674.25 326.757812 674.25 330.902344 Z M 674.25 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 442.707031 C 637.921875 446.847656 634.566406 450.207031 630.421875 450.207031 C 626.28125 450.207031 622.921875 446.847656 622.921875 442.707031 C 622.921875 438.5625 626.28125 435.207031 630.421875 435.207031 C 634.566406 435.207031 637.921875 438.5625 637.921875 442.707031 Z M 637.921875 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 461.804688 C 733.027344 465.945312 729.671875 469.304688 725.527344 469.304688 C 721.386719 469.304688 718.027344 465.945312 718.027344 461.804688 C 718.027344 457.660156 721.386719 454.304688 725.527344 454.304688 C 729.671875 454.304688 733.027344 457.660156 733.027344 461.804688 Z M 733.027344 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="722.048258" y="466.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 427.253906 C 780.582031 431.394531 777.222656 434.753906 773.082031 434.753906 C 768.9375 434.753906 765.582031 431.394531 765.582031 427.253906 C 765.582031 423.113281 768.9375 419.753906 773.082031 419.753906 C 777.222656 419.753906 780.582031 423.113281 780.582031 427.253906 Z M 780.582031 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="769.601084" y="431.559249"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 427.253906 C 780.582031 431.394531 777.222656 434.753906 773.082031 434.753906 C 768.9375 434.753906 765.582031 431.394531 765.582031 427.253906 C 765.582031 423.113281 768.9375 419.753906 773.082031 419.753906 C 777.222656 419.753906 780.582031 423.113281 780.582031 427.253906 Z M 780.582031 427.253906 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 371.351562 C 762.417969 375.496094 759.058594 378.851562 754.917969 378.851562 C 750.773438 378.851562 747.417969 375.496094 747.417969 371.351562 C 747.417969 367.210938 750.773438 363.851562 754.917969 363.851562 C 759.058594 363.851562 762.417969 367.210938 762.417969 371.351562 Z M 762.417969 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="751.437521" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 371.351562 C 703.640625 375.496094 700.28125 378.851562 696.140625 378.851562 C 691.996094 378.851562 688.640625 375.496094 688.640625 371.351562 C 688.640625 367.210938 691.996094 363.851562 696.140625 363.851562 C 700.28125 363.851562 703.640625 367.210938 703.640625 371.351562 Z M 703.640625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="692.658996" y="375.705549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 371.351562 C 703.640625 375.496094 700.28125 378.851562 696.140625 378.851562 C 691.996094 378.851562 688.640625 375.496094 688.640625 371.351562 C 688.640625 367.210938 691.996094 363.851562 696.140625 363.851562 C 700.28125 363.851562 703.640625 367.210938 703.640625 371.351562 Z M 703.640625 371.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 427.253906 C 685.476562 431.394531 682.117188 434.753906 677.976562 434.753906 C 673.832031 434.753906 670.476562 431.394531 670.476562 427.253906 C 670.476562 423.113281 673.832031 419.753906 677.976562 419.753906 C 682.117188 419.753906 685.476562 423.113281 685.476562 427.253906 Z M 685.476562 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="671.015432" y="431.607249"/>
-  <use xlink:href="#glyph-9929820-10" x="677.975432" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 507.394531 L 1104.777344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 507.394531 L 926.703125 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 504.304688 L 1015.738281 469.304688 "/>
@@ -503,46 +218,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 427.253906 L 975.6875 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 375.761719 L 974.253906 422.847656 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 511.804688 C 1023.238281 515.945312 1019.882812 519.304688 1015.738281 519.304688 C 1011.597656 519.304688 1008.238281 515.945312 1008.238281 511.804688 C 1008.238281 507.660156 1011.597656 504.304688 1015.738281 504.304688 C 1019.882812 504.304688 1023.238281 507.660156 1023.238281 511.804688 Z M 1023.238281 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1012.259561" y="516.117399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 442.707031 C 1118.34375 446.847656 1114.988281 450.207031 1110.84375 450.207031 C 1106.703125 450.207031 1103.34375 446.847656 1103.34375 442.707031 C 1103.34375 438.5625 1106.703125 435.207031 1110.84375 435.207031 C 1114.988281 435.207031 1118.34375 438.5625 1118.34375 442.707031 Z M 1118.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1107.365213" y="447.058098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 330.902344 C 1082.019531 335.042969 1078.660156 338.402344 1074.519531 338.402344 C 1070.375 338.402344 1067.019531 335.042969 1067.019531 330.902344 C 1067.019531 326.757812 1070.375 323.402344 1074.519531 323.402344 C 1078.660156 323.402344 1082.019531 326.757812 1082.019531 330.902344 Z M 1082.019531 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1071.038087" y="335.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 330.902344 C 964.460938 335.042969 961.101562 338.402344 956.960938 338.402344 C 952.820312 338.402344 949.460938 335.042969 949.460938 330.902344 C 949.460938 326.757812 952.820312 323.402344 956.960938 323.402344 C 961.101562 323.402344 964.460938 326.757812 964.460938 330.902344 Z M 964.460938 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="953.481036" y="335.209699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 330.902344 C 1082.019531 335.042969 1078.660156 338.402344 1074.519531 338.402344 C 1070.375 338.402344 1067.019531 335.042969 1067.019531 330.902344 C 1067.019531 326.757812 1070.375 323.402344 1074.519531 323.402344 C 1078.660156 323.402344 1082.019531 326.757812 1082.019531 330.902344 Z M 1082.019531 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 330.902344 C 964.460938 335.042969 961.101562 338.402344 956.960938 338.402344 C 952.820312 338.402344 949.460938 335.042969 949.460938 330.902344 C 949.460938 326.757812 952.820312 323.402344 956.960938 323.402344 C 961.101562 323.402344 964.460938 326.757812 964.460938 330.902344 Z M 964.460938 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 442.707031 C 928.132812 446.847656 924.777344 450.207031 920.632812 450.207031 C 916.492188 450.207031 913.132812 446.847656 913.132812 442.707031 C 913.132812 438.5625 916.492188 435.207031 920.632812 435.207031 C 924.777344 435.207031 928.132812 438.5625 928.132812 442.707031 Z M 928.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="917.15391" y="447.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 461.804688 C 1023.238281 465.945312 1019.882812 469.304688 1015.738281 469.304688 C 1011.597656 469.304688 1008.238281 465.945312 1008.238281 461.804688 C 1008.238281 457.660156 1011.597656 454.304688 1015.738281 454.304688 C 1019.882812 454.304688 1023.238281 457.660156 1023.238281 461.804688 Z M 1023.238281 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1012.259561" y="466.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 427.253906 C 1070.792969 431.394531 1067.433594 434.753906 1063.292969 434.753906 C 1059.148438 434.753906 1055.792969 431.394531 1055.792969 427.253906 C 1055.792969 423.113281 1059.148438 419.753906 1063.292969 419.753906 C 1067.433594 419.753906 1070.792969 423.113281 1070.792969 427.253906 Z M 1070.792969 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1059.812387" y="431.559249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 371.351562 C 1052.628906 375.496094 1049.269531 378.851562 1045.128906 378.851562 C 1040.988281 378.851562 1037.628906 375.496094 1037.628906 371.351562 C 1037.628906 367.210938 1040.988281 363.851562 1045.128906 363.851562 C 1049.269531 363.851562 1052.628906 367.210938 1052.628906 371.351562 Z M 1052.628906 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1041.648824" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 371.351562 C 993.851562 375.496094 990.492188 378.851562 986.351562 378.851562 C 982.207031 378.851562 978.851562 375.496094 978.851562 371.351562 C 978.851562 367.210938 982.207031 363.851562 986.351562 363.851562 C 990.492188 363.851562 993.851562 367.210938 993.851562 371.351562 Z M 993.851562 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="982.870299" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 427.253906 C 975.6875 431.394531 972.328125 434.753906 968.1875 434.753906 C 964.042969 434.753906 960.6875 431.394531 960.6875 427.253906 C 960.6875 423.113281 964.042969 419.753906 968.1875 419.753906 C 972.328125 419.753906 975.6875 423.113281 975.6875 427.253906 Z M 975.6875 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="961.226736" y="431.607249"/>
-  <use xlink:href="#glyph-9929820-10" x="968.186736" y="431.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 427.253906 C 1070.792969 431.394531 1067.433594 434.753906 1063.292969 434.753906 C 1059.148438 434.753906 1055.792969 431.394531 1055.792969 427.253906 C 1055.792969 423.113281 1059.148438 419.753906 1063.292969 419.753906 C 1067.433594 419.753906 1070.792969 423.113281 1070.792969 427.253906 Z M 1070.792969 427.253906 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 371.351562 C 1052.628906 375.496094 1049.269531 378.851562 1045.128906 378.851562 C 1040.988281 378.851562 1037.628906 375.496094 1037.628906 371.351562 C 1037.628906 367.210938 1040.988281 363.851562 1045.128906 363.851562 C 1049.269531 363.851562 1052.628906 367.210938 1052.628906 371.351562 Z M 1052.628906 371.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 371.351562 C 993.851562 375.496094 990.492188 378.851562 986.351562 378.851562 C 982.207031 378.851562 978.851562 375.496094 978.851562 371.351562 C 978.851562 367.210938 982.207031 363.851562 986.351562 363.851562 C 990.492188 363.851562 993.851562 367.210938 993.851562 371.351562 Z M 993.851562 371.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 427.253906 C 975.6875 431.394531 972.328125 434.753906 968.1875 434.753906 C 964.042969 434.753906 960.6875 431.394531 960.6875 427.253906 C 960.6875 423.113281 964.042969 419.753906 968.1875 419.753906 C 972.328125 419.753906 975.6875 423.113281 975.6875 427.253906 Z M 975.6875 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 507.394531 L 1394.988281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 507.394531 L 1216.914062 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 504.304688 L 1305.949219 469.304688 "/>
@@ -558,47 +242,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1347.4375 422.847656 L 1282.628906 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 427.253906 L 1265.898438 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 375.761719 L 1264.464844 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 511.804688 C 1313.449219 515.945312 1310.09375 519.304688 1305.949219 519.304688 C 1301.808594 519.304688 1298.449219 515.945312 1298.449219 511.804688 C 1298.449219 507.660156 1301.808594 504.304688 1305.949219 504.304688 C 1310.09375 504.304688 1313.449219 507.660156 1313.449219 511.804688 Z M 1313.449219 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1302.470865" y="516.117399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 511.804688 C 1313.449219 515.945312 1310.09375 519.304688 1305.949219 519.304688 C 1301.808594 519.304688 1298.449219 515.945312 1298.449219 511.804688 C 1298.449219 507.660156 1301.808594 504.304688 1305.949219 504.304688 C 1310.09375 504.304688 1313.449219 507.660156 1313.449219 511.804688 Z M 1313.449219 511.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 442.707031 C 1408.554688 446.847656 1405.199219 450.207031 1401.054688 450.207031 C 1396.914062 450.207031 1393.554688 446.847656 1393.554688 442.707031 C 1393.554688 438.5625 1396.914062 435.207031 1401.054688 435.207031 C 1405.199219 435.207031 1408.554688 438.5625 1408.554688 442.707031 Z M 1408.554688 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1397.576516" y="447.058098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 330.902344 C 1372.230469 335.042969 1368.871094 338.402344 1364.730469 338.402344 C 1360.585938 338.402344 1357.230469 335.042969 1357.230469 330.902344 C 1357.230469 326.757812 1360.585938 323.402344 1364.730469 323.402344 C 1368.871094 323.402344 1372.230469 326.757812 1372.230469 330.902344 Z M 1372.230469 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1361.24939" y="335.254699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 330.902344 C 1254.671875 335.042969 1251.316406 338.402344 1247.171875 338.402344 C 1243.03125 338.402344 1239.671875 335.042969 1239.671875 330.902344 C 1239.671875 326.757812 1243.03125 323.402344 1247.171875 323.402344 C 1251.316406 323.402344 1254.671875 326.757812 1254.671875 330.902344 Z M 1254.671875 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="1243.692339" y="335.209699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 442.707031 C 1218.34375 446.847656 1214.988281 450.207031 1210.84375 450.207031 C 1206.703125 450.207031 1203.34375 446.847656 1203.34375 442.707031 C 1203.34375 438.5625 1206.703125 435.207031 1210.84375 435.207031 C 1214.988281 435.207031 1218.34375 438.5625 1218.34375 442.707031 Z M 1218.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="1207.365213" y="447.010098"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 442.707031 C 1218.34375 446.847656 1214.988281 450.207031 1210.84375 450.207031 C 1206.703125 450.207031 1203.34375 446.847656 1203.34375 442.707031 C 1203.34375 438.5625 1206.703125 435.207031 1210.84375 435.207031 C 1214.988281 435.207031 1218.34375 438.5625 1218.34375 442.707031 Z M 1218.34375 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 461.804688 C 1313.449219 465.945312 1310.09375 469.304688 1305.949219 469.304688 C 1301.808594 469.304688 1298.449219 465.945312 1298.449219 461.804688 C 1298.449219 457.660156 1301.808594 454.304688 1305.949219 454.304688 C 1310.09375 454.304688 1313.449219 457.660156 1313.449219 461.804688 Z M 1313.449219 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1302.470865" y="466.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 427.253906 C 1361.003906 431.394531 1357.644531 434.753906 1353.503906 434.753906 C 1349.363281 434.753906 1346.003906 431.394531 1346.003906 427.253906 C 1346.003906 423.113281 1349.363281 419.753906 1353.503906 419.753906 C 1357.644531 419.753906 1361.003906 423.113281 1361.003906 427.253906 Z M 1361.003906 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1350.02369" y="431.559249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 427.253906 C 1361.003906 431.394531 1357.644531 434.753906 1353.503906 434.753906 C 1349.363281 434.753906 1346.003906 431.394531 1346.003906 427.253906 C 1346.003906 423.113281 1349.363281 419.753906 1353.503906 419.753906 C 1357.644531 419.753906 1361.003906 423.113281 1361.003906 427.253906 Z M 1361.003906 427.253906 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 371.351562 C 1342.839844 375.496094 1339.480469 378.851562 1335.339844 378.851562 C 1331.199219 378.851562 1327.839844 375.496094 1327.839844 371.351562 C 1327.839844 367.210938 1331.199219 363.851562 1335.339844 363.851562 C 1339.480469 363.851562 1342.839844 367.210938 1342.839844 371.351562 Z M 1342.839844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1331.860127" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 371.351562 C 1284.0625 375.496094 1280.703125 378.851562 1276.5625 378.851562 C 1272.417969 378.851562 1269.0625 375.496094 1269.0625 371.351562 C 1269.0625 367.210938 1272.417969 363.851562 1276.5625 363.851562 C 1280.703125 363.851562 1284.0625 367.210938 1284.0625 371.351562 Z M 1284.0625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="1273.081602" y="375.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 371.351562 C 1284.0625 375.496094 1280.703125 378.851562 1276.5625 378.851562 C 1272.417969 378.851562 1269.0625 375.496094 1269.0625 371.351562 C 1269.0625 367.210938 1272.417969 363.851562 1276.5625 363.851562 C 1280.703125 363.851562 1284.0625 367.210938 1284.0625 371.351562 Z M 1284.0625 371.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 427.253906 C 1265.898438 431.394531 1262.539062 434.753906 1258.398438 434.753906 C 1254.257812 434.753906 1250.898438 431.394531 1250.898438 427.253906 C 1250.898438 423.113281 1254.257812 419.753906 1258.398438 419.753906 C 1262.539062 419.753906 1265.898438 423.113281 1265.898438 427.253906 Z M 1265.898438 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1251.438039" y="431.607249"/>
-  <use xlink:href="#glyph-9929820-10" x="1258.398039" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 788.296875 L 234.144531 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 788.296875 L 56.066406 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 785.207031 L 145.105469 750.207031 "/>
@@ -615,46 +268,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 708.15625 L 105.054688 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 656.664062 L 103.621094 703.746094 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 792.707031 C 152.605469 796.847656 149.246094 800.207031 145.105469 800.207031 C 140.964844 800.207031 137.605469 796.847656 137.605469 792.707031 C 137.605469 788.5625 140.964844 785.207031 145.105469 785.207031 C 149.246094 785.207031 152.605469 788.5625 152.605469 792.707031 Z M 152.605469 792.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="141.625652" y="797.019098"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 723.605469 C 247.710938 727.75 244.351562 731.105469 240.210938 731.105469 C 236.070312 731.105469 232.710938 727.75 232.710938 723.605469 C 232.710938 719.464844 236.070312 716.105469 240.210938 716.105469 C 244.351562 716.105469 247.710938 719.464844 247.710938 723.605469 Z M 247.710938 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="236.731303" y="727.959798"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 723.605469 C 247.710938 727.75 244.351562 731.105469 240.210938 731.105469 C 236.070312 731.105469 232.710938 727.75 232.710938 723.605469 C 232.710938 719.464844 236.070312 716.105469 240.210938 716.105469 C 244.351562 716.105469 247.710938 719.464844 247.710938 723.605469 Z M 247.710938 723.605469 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 611.804688 C 211.382812 615.945312 208.027344 619.304688 203.882812 619.304688 C 199.742188 619.304688 196.382812 615.945312 196.382812 611.804688 C 196.382812 607.660156 199.742188 604.304688 203.882812 604.304688 C 208.027344 604.304688 211.382812 607.660156 211.382812 611.804688 Z M 211.382812 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="200.404177" y="616.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 611.804688 C 93.828125 615.945312 90.46875 619.304688 86.328125 619.304688 C 82.183594 619.304688 78.828125 615.945312 78.828125 611.804688 C 78.828125 607.660156 82.183594 604.304688 86.328125 604.304688 C 90.46875 604.304688 93.828125 607.660156 93.828125 611.804688 Z M 93.828125 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="82.847126" y="616.111399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 611.804688 C 93.828125 615.945312 90.46875 619.304688 86.328125 619.304688 C 82.183594 619.304688 78.828125 615.945312 78.828125 611.804688 C 78.828125 607.660156 82.183594 604.304688 86.328125 604.304688 C 90.46875 604.304688 93.828125 607.660156 93.828125 611.804688 Z M 93.828125 611.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 723.605469 C 57.5 727.75 54.140625 731.105469 50 731.105469 C 45.859375 731.105469 42.5 727.75 42.5 723.605469 C 42.5 719.464844 45.859375 716.105469 50 716.105469 C 54.140625 716.105469 57.5 719.464844 57.5 723.605469 Z M 57.5 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="46.52" y="727.911798"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 742.707031 C 152.605469 746.847656 149.246094 750.207031 145.105469 750.207031 C 140.964844 750.207031 137.605469 746.847656 137.605469 742.707031 C 137.605469 738.5625 140.964844 735.207031 145.105469 735.207031 C 149.246094 735.207031 152.605469 738.5625 152.605469 742.707031 Z M 152.605469 742.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="141.625652" y="747.010098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 708.15625 C 200.160156 712.296875 196.800781 715.65625 192.660156 715.65625 C 188.515625 715.65625 185.160156 712.296875 185.160156 708.15625 C 185.160156 704.015625 188.515625 700.65625 192.660156 700.65625 C 196.800781 700.65625 200.160156 704.015625 200.160156 708.15625 Z M 200.160156 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="189.178477" y="712.460948"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 742.707031 C 152.605469 746.847656 149.246094 750.207031 145.105469 750.207031 C 140.964844 750.207031 137.605469 746.847656 137.605469 742.707031 C 137.605469 738.5625 140.964844 735.207031 145.105469 735.207031 C 149.246094 735.207031 152.605469 738.5625 152.605469 742.707031 Z M 152.605469 742.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 708.15625 C 200.160156 712.296875 196.800781 715.65625 192.660156 715.65625 C 188.515625 715.65625 185.160156 712.296875 185.160156 708.15625 C 185.160156 704.015625 188.515625 700.65625 192.660156 700.65625 C 196.800781 700.65625 200.160156 704.015625 200.160156 708.15625 Z M 200.160156 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 652.253906 C 181.996094 656.394531 178.636719 659.753906 174.496094 659.753906 C 170.351562 659.753906 166.996094 656.394531 166.996094 652.253906 C 166.996094 648.113281 170.351562 644.753906 174.496094 644.753906 C 178.636719 644.753906 181.996094 648.113281 181.996094 652.253906 Z M 181.996094 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="171.014914" y="656.607249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 652.253906 C 123.214844 656.394531 119.859375 659.753906 115.714844 659.753906 C 111.574219 659.753906 108.214844 656.394531 108.214844 652.253906 C 108.214844 648.113281 111.574219 644.753906 115.714844 644.753906 C 119.859375 644.753906 123.214844 648.113281 123.214844 652.253906 Z M 123.214844 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="112.236389" y="656.607249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 708.15625 C 105.054688 712.296875 101.695312 715.65625 97.554688 715.65625 C 93.410156 715.65625 90.054688 712.296875 90.054688 708.15625 C 90.054688 704.015625 93.410156 700.65625 97.554688 700.65625 C 101.695312 700.65625 105.054688 704.015625 105.054688 708.15625 Z M 105.054688 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="90.592826" y="712.508948"/>
-  <use xlink:href="#glyph-9929820-10" x="97.552826" y="712.508948"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 652.253906 C 123.214844 656.394531 119.859375 659.753906 115.714844 659.753906 C 111.574219 659.753906 108.214844 656.394531 108.214844 652.253906 C 108.214844 648.113281 111.574219 644.753906 115.714844 644.753906 C 119.859375 644.753906 123.214844 648.113281 123.214844 652.253906 Z M 123.214844 652.253906 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 708.15625 C 105.054688 712.296875 101.695312 715.65625 97.554688 715.65625 C 93.410156 715.65625 90.054688 712.296875 90.054688 708.15625 C 90.054688 704.015625 93.410156 700.65625 97.554688 700.65625 C 101.695312 700.65625 105.054688 704.015625 105.054688 708.15625 Z M 105.054688 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 788.296875 L 524.355469 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 788.296875 L 346.277344 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 785.207031 L 435.316406 750.207031 "/>
@@ -671,46 +293,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 708.15625 L 395.265625 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 656.664062 L 393.832031 703.746094 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 792.707031 C 442.816406 796.847656 439.460938 800.207031 435.316406 800.207031 C 431.175781 800.207031 427.816406 796.847656 427.816406 792.707031 C 427.816406 788.5625 431.175781 785.207031 435.316406 785.207031 C 439.460938 785.207031 442.816406 788.5625 442.816406 792.707031 Z M 442.816406 792.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="431.836955" y="797.019098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 723.605469 C 537.921875 727.75 534.566406 731.105469 530.421875 731.105469 C 526.28125 731.105469 522.921875 727.75 522.921875 723.605469 C 522.921875 719.464844 526.28125 716.105469 530.421875 716.105469 C 534.566406 716.105469 537.921875 719.464844 537.921875 723.605469 Z M 537.921875 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="526.942607" y="727.959798"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 611.804688 C 501.59375 615.945312 498.238281 619.304688 494.09375 619.304688 C 489.953125 619.304688 486.59375 615.945312 486.59375 611.804688 C 486.59375 607.660156 489.953125 604.304688 494.09375 604.304688 C 498.238281 604.304688 501.59375 607.660156 501.59375 611.804688 Z M 501.59375 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="490.61548" y="616.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 611.804688 C 384.039062 615.945312 380.679688 619.304688 376.539062 619.304688 C 372.394531 619.304688 369.039062 615.945312 369.039062 611.804688 C 369.039062 607.660156 372.394531 604.304688 376.539062 604.304688 C 380.679688 604.304688 384.039062 607.660156 384.039062 611.804688 Z M 384.039062 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="373.05843" y="616.111399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 723.605469 C 347.710938 727.75 344.351562 731.105469 340.210938 731.105469 C 336.070312 731.105469 332.710938 727.75 332.710938 723.605469 C 332.710938 719.464844 336.070312 716.105469 340.210938 716.105469 C 344.351562 716.105469 347.710938 719.464844 347.710938 723.605469 Z M 347.710938 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="336.731303" y="727.911798"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 742.707031 C 442.816406 746.847656 439.460938 750.207031 435.316406 750.207031 C 431.175781 750.207031 427.816406 746.847656 427.816406 742.707031 C 427.816406 738.5625 431.175781 735.207031 435.316406 735.207031 C 439.460938 735.207031 442.816406 738.5625 442.816406 742.707031 Z M 442.816406 742.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="431.836955" y="747.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 708.15625 C 490.371094 712.296875 487.011719 715.65625 482.871094 715.65625 C 478.726562 715.65625 475.371094 712.296875 475.371094 708.15625 C 475.371094 704.015625 478.726562 700.65625 482.871094 700.65625 C 487.011719 700.65625 490.371094 704.015625 490.371094 708.15625 Z M 490.371094 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="479.389781" y="712.460948"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 652.253906 C 472.207031 656.394531 468.847656 659.753906 464.707031 659.753906 C 460.5625 659.753906 457.207031 656.394531 457.207031 652.253906 C 457.207031 648.113281 460.5625 644.753906 464.707031 644.753906 C 468.847656 644.753906 472.207031 648.113281 472.207031 652.253906 Z M 472.207031 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="461.226218" y="656.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 652.253906 C 413.425781 656.394531 410.070312 659.753906 405.925781 659.753906 C 401.785156 659.753906 398.425781 656.394531 398.425781 652.253906 C 398.425781 648.113281 401.785156 644.753906 405.925781 644.753906 C 410.070312 644.753906 413.425781 648.113281 413.425781 652.253906 Z M 413.425781 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="402.447692" y="656.607249"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 708.15625 C 395.265625 712.296875 391.90625 715.65625 387.765625 715.65625 C 383.621094 715.65625 380.265625 712.296875 380.265625 708.15625 C 380.265625 704.015625 383.621094 700.65625 387.765625 700.65625 C 391.90625 700.65625 395.265625 704.015625 395.265625 708.15625 Z M 395.265625 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="380.804129" y="712.508948"/>
-  <use xlink:href="#glyph-9929820-10" x="387.764129" y="712.508948"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 788.296875 L 814.566406 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 788.296875 L 636.488281 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 785.207031 L 725.527344 750.207031 "/>
@@ -726,47 +317,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 703.746094 L 702.207031 656.664062 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 708.15625 L 685.476562 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 656.664062 L 684.042969 703.746094 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 792.707031 C 733.027344 796.847656 729.671875 800.207031 725.527344 800.207031 C 721.386719 800.207031 718.027344 796.847656 718.027344 792.707031 C 718.027344 788.5625 721.386719 785.207031 725.527344 785.207031 C 729.671875 785.207031 733.027344 788.5625 733.027344 792.707031 Z M 733.027344 792.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="722.048258" y="797.019098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 723.605469 C 828.132812 727.75 824.777344 731.105469 820.632812 731.105469 C 816.492188 731.105469 813.132812 727.75 813.132812 723.605469 C 813.132812 719.464844 816.492188 716.105469 820.632812 716.105469 C 824.777344 716.105469 828.132812 719.464844 828.132812 723.605469 Z M 828.132812 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="817.15391" y="727.959798"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 611.804688 C 791.808594 615.945312 788.449219 619.304688 784.308594 619.304688 C 780.164062 619.304688 776.808594 615.945312 776.808594 611.804688 C 776.808594 607.660156 780.164062 604.304688 784.308594 604.304688 C 788.449219 604.304688 791.808594 607.660156 791.808594 611.804688 Z M 791.808594 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="780.826783" y="616.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 611.804688 C 674.25 615.945312 670.890625 619.304688 666.75 619.304688 C 662.609375 619.304688 659.25 615.945312 659.25 611.804688 C 659.25 607.660156 662.609375 604.304688 666.75 604.304688 C 670.890625 604.304688 674.25 607.660156 674.25 611.804688 Z M 674.25 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="663.269733" y="616.111399"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 792.707031 C 733.027344 796.847656 729.671875 800.207031 725.527344 800.207031 C 721.386719 800.207031 718.027344 796.847656 718.027344 792.707031 C 718.027344 788.5625 721.386719 785.207031 725.527344 785.207031 C 729.671875 785.207031 733.027344 788.5625 733.027344 792.707031 Z M 733.027344 792.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 723.605469 C 828.132812 727.75 824.777344 731.105469 820.632812 731.105469 C 816.492188 731.105469 813.132812 727.75 813.132812 723.605469 C 813.132812 719.464844 816.492188 716.105469 820.632812 716.105469 C 824.777344 716.105469 828.132812 719.464844 828.132812 723.605469 Z M 828.132812 723.605469 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 611.804688 C 791.808594 615.945312 788.449219 619.304688 784.308594 619.304688 C 780.164062 619.304688 776.808594 615.945312 776.808594 611.804688 C 776.808594 607.660156 780.164062 604.304688 784.308594 604.304688 C 788.449219 604.304688 791.808594 607.660156 791.808594 611.804688 Z M 791.808594 611.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 611.804688 C 674.25 615.945312 670.890625 619.304688 666.75 619.304688 C 662.609375 619.304688 659.25 615.945312 659.25 611.804688 C 659.25 607.660156 662.609375 604.304688 666.75 604.304688 C 670.890625 604.304688 674.25 607.660156 674.25 611.804688 Z M 674.25 611.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 723.605469 C 637.921875 727.75 634.566406 731.105469 630.421875 731.105469 C 626.28125 731.105469 622.921875 727.75 622.921875 723.605469 C 622.921875 719.464844 626.28125 716.105469 630.421875 716.105469 C 634.566406 716.105469 637.921875 719.464844 637.921875 723.605469 Z M 637.921875 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="626.942607" y="727.911798"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 742.707031 C 733.027344 746.847656 729.671875 750.207031 725.527344 750.207031 C 721.386719 750.207031 718.027344 746.847656 718.027344 742.707031 C 718.027344 738.5625 721.386719 735.207031 725.527344 735.207031 C 729.671875 735.207031 733.027344 738.5625 733.027344 742.707031 Z M 733.027344 742.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="722.048258" y="747.010098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 742.707031 C 733.027344 746.847656 729.671875 750.207031 725.527344 750.207031 C 721.386719 750.207031 718.027344 746.847656 718.027344 742.707031 C 718.027344 738.5625 721.386719 735.207031 725.527344 735.207031 C 729.671875 735.207031 733.027344 738.5625 733.027344 742.707031 Z M 733.027344 742.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 708.15625 C 780.582031 712.296875 777.222656 715.65625 773.082031 715.65625 C 768.9375 715.65625 765.582031 712.296875 765.582031 708.15625 C 765.582031 704.015625 768.9375 700.65625 773.082031 700.65625 C 777.222656 700.65625 780.582031 704.015625 780.582031 708.15625 Z M 780.582031 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="769.601084" y="712.460948"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 652.253906 C 762.417969 656.394531 759.058594 659.753906 754.917969 659.753906 C 750.773438 659.753906 747.417969 656.394531 747.417969 652.253906 C 747.417969 648.113281 750.773438 644.753906 754.917969 644.753906 C 759.058594 644.753906 762.417969 648.113281 762.417969 652.253906 Z M 762.417969 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="751.437521" y="656.607249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 652.253906 C 703.640625 656.394531 700.28125 659.753906 696.140625 659.753906 C 691.996094 659.753906 688.640625 656.394531 688.640625 652.253906 C 688.640625 648.113281 691.996094 644.753906 696.140625 644.753906 C 700.28125 644.753906 703.640625 648.113281 703.640625 652.253906 Z M 703.640625 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="692.658996" y="656.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 652.253906 C 703.640625 656.394531 700.28125 659.753906 696.140625 659.753906 C 691.996094 659.753906 688.640625 656.394531 688.640625 652.253906 C 688.640625 648.113281 691.996094 644.753906 696.140625 644.753906 C 700.28125 644.753906 703.640625 648.113281 703.640625 652.253906 Z M 703.640625 652.253906 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 708.15625 C 685.476562 712.296875 682.117188 715.65625 677.976562 715.65625 C 673.832031 715.65625 670.476562 712.296875 670.476562 708.15625 C 670.476562 704.015625 673.832031 700.65625 677.976562 700.65625 C 682.117188 700.65625 685.476562 704.015625 685.476562 708.15625 Z M 685.476562 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="671.015432" y="712.508948"/>
-  <use xlink:href="#glyph-9929820-10" x="677.975432" y="712.508948"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 788.296875 L 1104.777344 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 788.296875 L 926.703125 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 785.207031 L 1015.738281 750.207031 "/>
@@ -783,46 +343,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 708.15625 L 975.6875 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 656.664062 L 974.253906 703.746094 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 792.707031 C 1023.238281 796.847656 1019.882812 800.207031 1015.738281 800.207031 C 1011.597656 800.207031 1008.238281 796.847656 1008.238281 792.707031 C 1008.238281 788.5625 1011.597656 785.207031 1015.738281 785.207031 C 1019.882812 785.207031 1023.238281 788.5625 1023.238281 792.707031 Z M 1023.238281 792.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1012.259561" y="797.019098"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 723.605469 C 1118.34375 727.75 1114.988281 731.105469 1110.84375 731.105469 C 1106.703125 731.105469 1103.34375 727.75 1103.34375 723.605469 C 1103.34375 719.464844 1106.703125 716.105469 1110.84375 716.105469 C 1114.988281 716.105469 1118.34375 719.464844 1118.34375 723.605469 Z M 1118.34375 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1107.365213" y="727.959798"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 611.804688 C 1082.019531 615.945312 1078.660156 619.304688 1074.519531 619.304688 C 1070.375 619.304688 1067.019531 615.945312 1067.019531 611.804688 C 1067.019531 607.660156 1070.375 604.304688 1074.519531 604.304688 C 1078.660156 604.304688 1082.019531 607.660156 1082.019531 611.804688 Z M 1082.019531 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1071.038087" y="616.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 611.804688 C 964.460938 615.945312 961.101562 619.304688 956.960938 619.304688 C 952.820312 619.304688 949.460938 615.945312 949.460938 611.804688 C 949.460938 607.660156 952.820312 604.304688 956.960938 604.304688 C 961.101562 604.304688 964.460938 607.660156 964.460938 611.804688 Z M 964.460938 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="953.481036" y="616.111399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 723.605469 C 928.132812 727.75 924.777344 731.105469 920.632812 731.105469 C 916.492188 731.105469 913.132812 727.75 913.132812 723.605469 C 913.132812 719.464844 916.492188 716.105469 920.632812 716.105469 C 924.777344 716.105469 928.132812 719.464844 928.132812 723.605469 Z M 928.132812 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="917.15391" y="727.911798"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 723.605469 C 1118.34375 727.75 1114.988281 731.105469 1110.84375 731.105469 C 1106.703125 731.105469 1103.34375 727.75 1103.34375 723.605469 C 1103.34375 719.464844 1106.703125 716.105469 1110.84375 716.105469 C 1114.988281 716.105469 1118.34375 719.464844 1118.34375 723.605469 Z M 1118.34375 723.605469 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 611.804688 C 1082.019531 615.945312 1078.660156 619.304688 1074.519531 619.304688 C 1070.375 619.304688 1067.019531 615.945312 1067.019531 611.804688 C 1067.019531 607.660156 1070.375 604.304688 1074.519531 604.304688 C 1078.660156 604.304688 1082.019531 607.660156 1082.019531 611.804688 Z M 1082.019531 611.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 611.804688 C 964.460938 615.945312 961.101562 619.304688 956.960938 619.304688 C 952.820312 619.304688 949.460938 615.945312 949.460938 611.804688 C 949.460938 607.660156 952.820312 604.304688 956.960938 604.304688 C 961.101562 604.304688 964.460938 607.660156 964.460938 611.804688 Z M 964.460938 611.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 723.605469 C 928.132812 727.75 924.777344 731.105469 920.632812 731.105469 C 916.492188 731.105469 913.132812 727.75 913.132812 723.605469 C 913.132812 719.464844 916.492188 716.105469 920.632812 716.105469 C 924.777344 716.105469 928.132812 719.464844 928.132812 723.605469 Z M 928.132812 723.605469 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 742.707031 C 1023.238281 746.847656 1019.882812 750.207031 1015.738281 750.207031 C 1011.597656 750.207031 1008.238281 746.847656 1008.238281 742.707031 C 1008.238281 738.5625 1011.597656 735.207031 1015.738281 735.207031 C 1019.882812 735.207031 1023.238281 738.5625 1023.238281 742.707031 Z M 1023.238281 742.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1012.259561" y="747.010098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 708.15625 C 1070.792969 712.296875 1067.433594 715.65625 1063.292969 715.65625 C 1059.148438 715.65625 1055.792969 712.296875 1055.792969 708.15625 C 1055.792969 704.015625 1059.148438 700.65625 1063.292969 700.65625 C 1067.433594 700.65625 1070.792969 704.015625 1070.792969 708.15625 Z M 1070.792969 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1059.812387" y="712.460948"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 708.15625 C 1070.792969 712.296875 1067.433594 715.65625 1063.292969 715.65625 C 1059.148438 715.65625 1055.792969 712.296875 1055.792969 708.15625 C 1055.792969 704.015625 1059.148438 700.65625 1063.292969 700.65625 C 1067.433594 700.65625 1070.792969 704.015625 1070.792969 708.15625 Z M 1070.792969 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 652.253906 C 1052.628906 656.394531 1049.269531 659.753906 1045.128906 659.753906 C 1040.988281 659.753906 1037.628906 656.394531 1037.628906 652.253906 C 1037.628906 648.113281 1040.988281 644.753906 1045.128906 644.753906 C 1049.269531 644.753906 1052.628906 648.113281 1052.628906 652.253906 Z M 1052.628906 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1041.648824" y="656.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 652.253906 C 993.851562 656.394531 990.492188 659.753906 986.351562 659.753906 C 982.207031 659.753906 978.851562 656.394531 978.851562 652.253906 C 978.851562 648.113281 982.207031 644.753906 986.351562 644.753906 C 990.492188 644.753906 993.851562 648.113281 993.851562 652.253906 Z M 993.851562 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="982.870299" y="656.607249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 708.15625 C 975.6875 712.296875 972.328125 715.65625 968.1875 715.65625 C 964.042969 715.65625 960.6875 712.296875 960.6875 708.15625 C 960.6875 704.015625 964.042969 700.65625 968.1875 700.65625 C 972.328125 700.65625 975.6875 704.015625 975.6875 708.15625 Z M 975.6875 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="961.226736" y="712.508948"/>
-  <use xlink:href="#glyph-9929820-10" x="968.186736" y="712.508948"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 708.15625 C 975.6875 712.296875 972.328125 715.65625 968.1875 715.65625 C 964.042969 715.65625 960.6875 712.296875 960.6875 708.15625 C 960.6875 704.015625 964.042969 700.65625 968.1875 700.65625 C 972.328125 700.65625 975.6875 704.015625 975.6875 708.15625 Z M 975.6875 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 788.296875 L 1394.988281 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 788.296875 L 1216.914062 728.015625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 785.207031 L 1305.949219 750.207031 "/>
@@ -838,46 +367,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1347.4375 703.746094 L 1282.628906 656.664062 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 708.15625 L 1265.898438 708.15625 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 656.664062 L 1264.464844 703.746094 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 792.707031 C 1313.449219 796.847656 1310.09375 800.207031 1305.949219 800.207031 C 1301.808594 800.207031 1298.449219 796.847656 1298.449219 792.707031 C 1298.449219 788.5625 1301.808594 785.207031 1305.949219 785.207031 C 1310.09375 785.207031 1313.449219 788.5625 1313.449219 792.707031 Z M 1313.449219 792.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1302.470865" y="797.019098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 723.605469 C 1408.554688 727.75 1405.199219 731.105469 1401.054688 731.105469 C 1396.914062 731.105469 1393.554688 727.75 1393.554688 723.605469 C 1393.554688 719.464844 1396.914062 716.105469 1401.054688 716.105469 C 1405.199219 716.105469 1408.554688 719.464844 1408.554688 723.605469 Z M 1408.554688 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-2" x="1397.576516" y="727.959798"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 792.707031 C 1313.449219 796.847656 1310.09375 800.207031 1305.949219 800.207031 C 1301.808594 800.207031 1298.449219 796.847656 1298.449219 792.707031 C 1298.449219 788.5625 1301.808594 785.207031 1305.949219 785.207031 C 1310.09375 785.207031 1313.449219 788.5625 1313.449219 792.707031 Z M 1313.449219 792.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 723.605469 C 1408.554688 727.75 1405.199219 731.105469 1401.054688 731.105469 C 1396.914062 731.105469 1393.554688 727.75 1393.554688 723.605469 C 1393.554688 719.464844 1396.914062 716.105469 1401.054688 716.105469 C 1405.199219 716.105469 1408.554688 719.464844 1408.554688 723.605469 Z M 1408.554688 723.605469 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 611.804688 C 1372.230469 615.945312 1368.871094 619.304688 1364.730469 619.304688 C 1360.585938 619.304688 1357.230469 615.945312 1357.230469 611.804688 C 1357.230469 607.660156 1360.585938 604.304688 1364.730469 604.304688 C 1368.871094 604.304688 1372.230469 607.660156 1372.230469 611.804688 Z M 1372.230469 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-3" x="1361.24939" y="616.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 611.804688 C 1254.671875 615.945312 1251.316406 619.304688 1247.171875 619.304688 C 1243.03125 619.304688 1239.671875 615.945312 1239.671875 611.804688 C 1239.671875 607.660156 1243.03125 604.304688 1247.171875 604.304688 C 1251.316406 604.304688 1254.671875 607.660156 1254.671875 611.804688 Z M 1254.671875 611.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-4" x="1243.692339" y="616.111399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 723.605469 C 1218.34375 727.75 1214.988281 731.105469 1210.84375 731.105469 C 1206.703125 731.105469 1203.34375 727.75 1203.34375 723.605469 C 1203.34375 719.464844 1206.703125 716.105469 1210.84375 716.105469 C 1214.988281 716.105469 1218.34375 719.464844 1218.34375 723.605469 Z M 1218.34375 723.605469 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-5" x="1207.365213" y="727.911798"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 742.707031 C 1313.449219 746.847656 1310.09375 750.207031 1305.949219 750.207031 C 1301.808594 750.207031 1298.449219 746.847656 1298.449219 742.707031 C 1298.449219 738.5625 1301.808594 735.207031 1305.949219 735.207031 C 1310.09375 735.207031 1313.449219 738.5625 1313.449219 742.707031 Z M 1313.449219 742.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-6" x="1302.470865" y="747.010098"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 611.804688 C 1254.671875 615.945312 1251.316406 619.304688 1247.171875 619.304688 C 1243.03125 619.304688 1239.671875 615.945312 1239.671875 611.804688 C 1239.671875 607.660156 1243.03125 604.304688 1247.171875 604.304688 C 1251.316406 604.304688 1254.671875 607.660156 1254.671875 611.804688 Z M 1254.671875 611.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 723.605469 C 1218.34375 727.75 1214.988281 731.105469 1210.84375 731.105469 C 1206.703125 731.105469 1203.34375 727.75 1203.34375 723.605469 C 1203.34375 719.464844 1206.703125 716.105469 1210.84375 716.105469 C 1214.988281 716.105469 1218.34375 719.464844 1218.34375 723.605469 Z M 1218.34375 723.605469 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 742.707031 C 1313.449219 746.847656 1310.09375 750.207031 1305.949219 750.207031 C 1301.808594 750.207031 1298.449219 746.847656 1298.449219 742.707031 C 1298.449219 738.5625 1301.808594 735.207031 1305.949219 735.207031 C 1310.09375 735.207031 1313.449219 738.5625 1313.449219 742.707031 Z M 1313.449219 742.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 708.15625 C 1361.003906 712.296875 1357.644531 715.65625 1353.503906 715.65625 C 1349.363281 715.65625 1346.003906 712.296875 1346.003906 708.15625 C 1346.003906 704.015625 1349.363281 700.65625 1353.503906 700.65625 C 1357.644531 700.65625 1361.003906 704.015625 1361.003906 708.15625 Z M 1361.003906 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-7" x="1350.02369" y="712.460948"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 652.253906 C 1342.839844 656.394531 1339.480469 659.753906 1335.339844 659.753906 C 1331.199219 659.753906 1327.839844 656.394531 1327.839844 652.253906 C 1327.839844 648.113281 1331.199219 644.753906 1335.339844 644.753906 C 1339.480469 644.753906 1342.839844 648.113281 1342.839844 652.253906 Z M 1342.839844 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-8" x="1331.860127" y="656.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 652.253906 C 1284.0625 656.394531 1280.703125 659.753906 1276.5625 659.753906 C 1272.417969 659.753906 1269.0625 656.394531 1269.0625 652.253906 C 1269.0625 648.113281 1272.417969 644.753906 1276.5625 644.753906 C 1280.703125 644.753906 1284.0625 648.113281 1284.0625 652.253906 Z M 1284.0625 652.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-9" x="1273.081602" y="656.607249"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 708.15625 C 1265.898438 712.296875 1262.539062 715.65625 1258.398438 715.65625 C 1254.257812 715.65625 1250.898438 712.296875 1250.898438 708.15625 C 1250.898438 704.015625 1254.257812 700.65625 1258.398438 700.65625 C 1262.539062 700.65625 1265.898438 704.015625 1265.898438 708.15625 Z M 1265.898438 708.15625 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9929820-1" x="1251.438039" y="712.508948"/>
-  <use xlink:href="#glyph-9929820-10" x="1258.398039" y="712.508948"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 708.15625 C 1265.898438 712.296875 1262.539062 715.65625 1258.398438 715.65625 C 1254.257812 715.65625 1250.898438 712.296875 1250.898438 708.15625 C 1250.898438 704.015625 1254.257812 700.65625 1258.398438 700.65625 C 1262.539062 700.65625 1265.898438 704.015625 1265.898438 708.15625 Z M 1265.898438 708.15625 "/>
 </g>
 </svg>
diff --git a/dev/generated/DominatingSet/a050b03b.svg b/dev/generated/MaximalIS/c466793e.svg
similarity index 57%
rename from dev/generated/DominatingSet/a050b03b.svg
rename to dev/generated/MaximalIS/c466793e.svg
index f8481350..328348ed 100644
--- a/dev/generated/DominatingSet/a050b03b.svg
+++ b/dev/generated/MaximalIS/c466793e.svg
@@ -1,44 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="562pt" viewBox="0 0 1451 562" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-9847150-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9847150-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface21">
-<rect x="0" y="0" width="1451" height="562" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="580pt" viewBox="0 0 1451 580" version="1.1">
+<g id="surface71">
+<rect x="0" y="0" width="1451" height="580" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
@@ -55,46 +18,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="141.625652" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="236.731303" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="200.404177" y="54.353"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="141.625652" y="185.206699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="189.178477" y="150.657549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-9847150-10" x="97.552826" y="150.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
@@ -111,46 +43,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="431.836955" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="526.942607" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="490.61548" y="54.353"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="373.05843" y="54.308"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="336.731303" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="431.836955" y="185.206699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="479.389781" y="150.657549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="461.226218" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="402.447692" y="94.80385"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="380.804129" y="150.705549"/>
-  <use xlink:href="#glyph-9847150-10" x="387.764129" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
@@ -166,47 +67,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 767.011719 141.945312 L 702.207031 94.859375 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="722.048258" y="235.215699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="817.15391" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="780.826783" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="663.269733" y="54.308"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="626.942607" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="722.048258" y="185.206699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="769.601084" y="150.657549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="751.437521" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="692.658996" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="671.015432" y="150.705549"/>
-  <use xlink:href="#glyph-9847150-10" x="677.975432" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
@@ -222,47 +92,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1057.226562 141.945312 L 992.417969 94.859375 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1012.259561" y="235.215699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="1107.365213" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="1071.038087" y="54.353"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="953.481036" y="54.308"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="917.15391" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="1012.259561" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="1059.812387" y="150.657549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="1041.648824" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="982.870299" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="961.226736" y="150.705549"/>
-  <use xlink:href="#glyph-9847150-10" x="968.186736" y="150.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
@@ -278,47 +117,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1347.4375 141.945312 L 1282.628906 94.859375 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1302.470865" y="235.215699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="1397.576516" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="1361.24939" y="54.353"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="1243.692339" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="1207.365213" y="166.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="1302.470865" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="1350.02369" y="150.657549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="1331.860127" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="1273.081602" y="94.80385"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1251.438039" y="150.705549"/>
-  <use xlink:href="#glyph-9847150-10" x="1258.398039" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 507.394531 L 234.144531 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 507.394531 L 56.066406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 504.304688 L 145.105469 469.304688 "/>
@@ -334,47 +142,16 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 422.847656 L 121.785156 375.761719 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 427.253906 L 105.054688 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 375.761719 L 103.621094 422.847656 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 511.804688 C 152.605469 515.945312 149.246094 519.304688 145.105469 519.304688 C 140.964844 519.304688 137.605469 515.945312 137.605469 511.804688 C 137.605469 507.660156 140.964844 504.304688 145.105469 504.304688 C 149.246094 504.304688 152.605469 507.660156 152.605469 511.804688 Z M 152.605469 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="141.625652" y="516.117399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 442.707031 C 247.710938 446.847656 244.351562 450.207031 240.210938 450.207031 C 236.070312 450.207031 232.710938 446.847656 232.710938 442.707031 C 232.710938 438.5625 236.070312 435.207031 240.210938 435.207031 C 244.351562 435.207031 247.710938 438.5625 247.710938 442.707031 Z M 247.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="236.731303" y="447.058098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 511.804688 C 152.605469 515.945312 149.246094 519.304688 145.105469 519.304688 C 140.964844 519.304688 137.605469 515.945312 137.605469 511.804688 C 137.605469 507.660156 140.964844 504.304688 145.105469 504.304688 C 149.246094 504.304688 152.605469 507.660156 152.605469 511.804688 Z M 152.605469 511.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 442.707031 C 247.710938 446.847656 244.351562 450.207031 240.210938 450.207031 C 236.070312 450.207031 232.710938 446.847656 232.710938 442.707031 C 232.710938 438.5625 236.070312 435.207031 240.210938 435.207031 C 244.351562 435.207031 247.710938 438.5625 247.710938 442.707031 Z M 247.710938 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 330.902344 C 211.382812 335.042969 208.027344 338.402344 203.882812 338.402344 C 199.742188 338.402344 196.382812 335.042969 196.382812 330.902344 C 196.382812 326.757812 199.742188 323.402344 203.882812 323.402344 C 208.027344 323.402344 211.382812 326.757812 211.382812 330.902344 Z M 211.382812 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="200.404177" y="335.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="82.847126" y="335.209699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 330.902344 C 93.828125 335.042969 90.46875 338.402344 86.328125 338.402344 C 82.183594 338.402344 78.828125 335.042969 78.828125 330.902344 C 78.828125 326.757812 82.183594 323.402344 86.328125 323.402344 C 90.46875 323.402344 93.828125 326.757812 93.828125 330.902344 Z M 93.828125 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 442.707031 C 57.5 446.847656 54.140625 450.207031 50 450.207031 C 45.859375 450.207031 42.5 446.847656 42.5 442.707031 C 42.5 438.5625 45.859375 435.207031 50 435.207031 C 54.140625 435.207031 57.5 438.5625 57.5 442.707031 Z M 57.5 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="46.52" y="447.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 461.804688 C 152.605469 465.945312 149.246094 469.304688 145.105469 469.304688 C 140.964844 469.304688 137.605469 465.945312 137.605469 461.804688 C 137.605469 457.660156 140.964844 454.304688 145.105469 454.304688 C 149.246094 454.304688 152.605469 457.660156 152.605469 461.804688 Z M 152.605469 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="141.625652" y="466.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 427.253906 C 200.160156 431.394531 196.800781 434.753906 192.660156 434.753906 C 188.515625 434.753906 185.160156 431.394531 185.160156 427.253906 C 185.160156 423.113281 188.515625 419.753906 192.660156 419.753906 C 196.800781 419.753906 200.160156 423.113281 200.160156 427.253906 Z M 200.160156 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="189.178477" y="431.559249"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 371.351562 C 181.996094 375.496094 178.636719 378.851562 174.496094 378.851562 C 170.351562 378.851562 166.996094 375.496094 166.996094 371.351562 C 166.996094 367.210938 170.351562 363.851562 174.496094 363.851562 C 178.636719 363.851562 181.996094 367.210938 181.996094 371.351562 Z M 181.996094 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="171.014914" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 371.351562 C 123.214844 375.496094 119.859375 378.851562 115.714844 378.851562 C 111.574219 378.851562 108.214844 375.496094 108.214844 371.351562 C 108.214844 367.210938 111.574219 363.851562 115.714844 363.851562 C 119.859375 363.851562 123.214844 367.210938 123.214844 371.351562 Z M 123.214844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="112.236389" y="375.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 371.351562 C 123.214844 375.496094 119.859375 378.851562 115.714844 378.851562 C 111.574219 378.851562 108.214844 375.496094 108.214844 371.351562 C 108.214844 367.210938 111.574219 363.851562 115.714844 363.851562 C 119.859375 363.851562 123.214844 367.210938 123.214844 371.351562 Z M 123.214844 371.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 427.253906 C 105.054688 431.394531 101.695312 434.753906 97.554688 434.753906 C 93.410156 434.753906 90.054688 431.394531 90.054688 427.253906 C 90.054688 423.113281 93.410156 419.753906 97.554688 419.753906 C 101.695312 419.753906 105.054688 423.113281 105.054688 427.253906 Z M 105.054688 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="90.592826" y="431.607249"/>
-  <use xlink:href="#glyph-9847150-10" x="97.552826" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 507.394531 L 524.355469 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 507.394531 L 346.277344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 504.304688 L 435.316406 469.304688 "/>
@@ -391,46 +168,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 427.253906 L 395.265625 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 375.761719 L 393.832031 422.847656 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 511.804688 C 442.816406 515.945312 439.460938 519.304688 435.316406 519.304688 C 431.175781 519.304688 427.816406 515.945312 427.816406 511.804688 C 427.816406 507.660156 431.175781 504.304688 435.316406 504.304688 C 439.460938 504.304688 442.816406 507.660156 442.816406 511.804688 Z M 442.816406 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="431.836955" y="516.117399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 442.707031 C 537.921875 446.847656 534.566406 450.207031 530.421875 450.207031 C 526.28125 450.207031 522.921875 446.847656 522.921875 442.707031 C 522.921875 438.5625 526.28125 435.207031 530.421875 435.207031 C 534.566406 435.207031 537.921875 438.5625 537.921875 442.707031 Z M 537.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="526.942607" y="447.058098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 442.707031 C 537.921875 446.847656 534.566406 450.207031 530.421875 450.207031 C 526.28125 450.207031 522.921875 446.847656 522.921875 442.707031 C 522.921875 438.5625 526.28125 435.207031 530.421875 435.207031 C 534.566406 435.207031 537.921875 438.5625 537.921875 442.707031 Z M 537.921875 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 330.902344 C 501.59375 335.042969 498.238281 338.402344 494.09375 338.402344 C 489.953125 338.402344 486.59375 335.042969 486.59375 330.902344 C 486.59375 326.757812 489.953125 323.402344 494.09375 323.402344 C 498.238281 323.402344 501.59375 326.757812 501.59375 330.902344 Z M 501.59375 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="490.61548" y="335.254699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 330.902344 C 384.039062 335.042969 380.679688 338.402344 376.539062 338.402344 C 372.394531 338.402344 369.039062 335.042969 369.039062 330.902344 C 369.039062 326.757812 372.394531 323.402344 376.539062 323.402344 C 380.679688 323.402344 384.039062 326.757812 384.039062 330.902344 Z M 384.039062 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="373.05843" y="335.209699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 442.707031 C 347.710938 446.847656 344.351562 450.207031 340.210938 450.207031 C 336.070312 450.207031 332.710938 446.847656 332.710938 442.707031 C 332.710938 438.5625 336.070312 435.207031 340.210938 435.207031 C 344.351562 435.207031 347.710938 438.5625 347.710938 442.707031 Z M 347.710938 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="336.731303" y="447.010098"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 330.902344 C 384.039062 335.042969 380.679688 338.402344 376.539062 338.402344 C 372.394531 338.402344 369.039062 335.042969 369.039062 330.902344 C 369.039062 326.757812 372.394531 323.402344 376.539062 323.402344 C 380.679688 323.402344 384.039062 326.757812 384.039062 330.902344 Z M 384.039062 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 442.707031 C 347.710938 446.847656 344.351562 450.207031 340.210938 450.207031 C 336.070312 450.207031 332.710938 446.847656 332.710938 442.707031 C 332.710938 438.5625 336.070312 435.207031 340.210938 435.207031 C 344.351562 435.207031 347.710938 438.5625 347.710938 442.707031 Z M 347.710938 442.707031 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 461.804688 C 442.816406 465.945312 439.460938 469.304688 435.316406 469.304688 C 431.175781 469.304688 427.816406 465.945312 427.816406 461.804688 C 427.816406 457.660156 431.175781 454.304688 435.316406 454.304688 C 439.460938 454.304688 442.816406 457.660156 442.816406 461.804688 Z M 442.816406 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="431.836955" y="466.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="479.389781" y="431.559249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 427.253906 C 490.371094 431.394531 487.011719 434.753906 482.871094 434.753906 C 478.726562 434.753906 475.371094 431.394531 475.371094 427.253906 C 475.371094 423.113281 478.726562 419.753906 482.871094 419.753906 C 487.011719 419.753906 490.371094 423.113281 490.371094 427.253906 Z M 490.371094 427.253906 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 371.351562 C 472.207031 375.496094 468.847656 378.851562 464.707031 378.851562 C 460.5625 378.851562 457.207031 375.496094 457.207031 371.351562 C 457.207031 367.210938 460.5625 363.851562 464.707031 363.851562 C 468.847656 363.851562 472.207031 367.210938 472.207031 371.351562 Z M 472.207031 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="461.226218" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 371.351562 C 413.425781 375.496094 410.070312 378.851562 405.925781 378.851562 C 401.785156 378.851562 398.425781 375.496094 398.425781 371.351562 C 398.425781 367.210938 401.785156 363.851562 405.925781 363.851562 C 410.070312 363.851562 413.425781 367.210938 413.425781 371.351562 Z M 413.425781 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="402.447692" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 427.253906 C 395.265625 431.394531 391.90625 434.753906 387.765625 434.753906 C 383.621094 434.753906 380.265625 431.394531 380.265625 427.253906 C 380.265625 423.113281 383.621094 419.753906 387.765625 419.753906 C 391.90625 419.753906 395.265625 423.113281 395.265625 427.253906 Z M 395.265625 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="380.804129" y="431.607249"/>
-  <use xlink:href="#glyph-9847150-10" x="387.764129" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 507.394531 L 814.566406 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 507.394531 L 636.488281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 504.304688 L 725.527344 469.304688 "/>
@@ -447,46 +193,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 427.253906 L 685.476562 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 375.761719 L 684.042969 422.847656 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 511.804688 C 733.027344 515.945312 729.671875 519.304688 725.527344 519.304688 C 721.386719 519.304688 718.027344 515.945312 718.027344 511.804688 C 718.027344 507.660156 721.386719 504.304688 725.527344 504.304688 C 729.671875 504.304688 733.027344 507.660156 733.027344 511.804688 Z M 733.027344 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="722.048258" y="516.117399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 442.707031 C 828.132812 446.847656 824.777344 450.207031 820.632812 450.207031 C 816.492188 450.207031 813.132812 446.847656 813.132812 442.707031 C 813.132812 438.5625 816.492188 435.207031 820.632812 435.207031 C 824.777344 435.207031 828.132812 438.5625 828.132812 442.707031 Z M 828.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="817.15391" y="447.058098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 330.902344 C 791.808594 335.042969 788.449219 338.402344 784.308594 338.402344 C 780.164062 338.402344 776.808594 335.042969 776.808594 330.902344 C 776.808594 326.757812 780.164062 323.402344 784.308594 323.402344 C 788.449219 323.402344 791.808594 326.757812 791.808594 330.902344 Z M 791.808594 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="780.826783" y="335.254699"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 442.707031 C 828.132812 446.847656 824.777344 450.207031 820.632812 450.207031 C 816.492188 450.207031 813.132812 446.847656 813.132812 442.707031 C 813.132812 438.5625 816.492188 435.207031 820.632812 435.207031 C 824.777344 435.207031 828.132812 438.5625 828.132812 442.707031 Z M 828.132812 442.707031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 330.902344 C 791.808594 335.042969 788.449219 338.402344 784.308594 338.402344 C 780.164062 338.402344 776.808594 335.042969 776.808594 330.902344 C 776.808594 326.757812 780.164062 323.402344 784.308594 323.402344 C 788.449219 323.402344 791.808594 326.757812 791.808594 330.902344 Z M 791.808594 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 330.902344 C 674.25 335.042969 670.890625 338.402344 666.75 338.402344 C 662.609375 338.402344 659.25 335.042969 659.25 330.902344 C 659.25 326.757812 662.609375 323.402344 666.75 323.402344 C 670.890625 323.402344 674.25 326.757812 674.25 330.902344 Z M 674.25 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="663.269733" y="335.209699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 442.707031 C 637.921875 446.847656 634.566406 450.207031 630.421875 450.207031 C 626.28125 450.207031 622.921875 446.847656 622.921875 442.707031 C 622.921875 438.5625 626.28125 435.207031 630.421875 435.207031 C 634.566406 435.207031 637.921875 438.5625 637.921875 442.707031 Z M 637.921875 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="626.942607" y="447.010098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 461.804688 C 733.027344 465.945312 729.671875 469.304688 725.527344 469.304688 C 721.386719 469.304688 718.027344 465.945312 718.027344 461.804688 C 718.027344 457.660156 721.386719 454.304688 725.527344 454.304688 C 729.671875 454.304688 733.027344 457.660156 733.027344 461.804688 Z M 733.027344 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="722.048258" y="466.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 461.804688 C 733.027344 465.945312 729.671875 469.304688 725.527344 469.304688 C 721.386719 469.304688 718.027344 465.945312 718.027344 461.804688 C 718.027344 457.660156 721.386719 454.304688 725.527344 454.304688 C 729.671875 454.304688 733.027344 457.660156 733.027344 461.804688 Z M 733.027344 461.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 427.253906 C 780.582031 431.394531 777.222656 434.753906 773.082031 434.753906 C 768.9375 434.753906 765.582031 431.394531 765.582031 427.253906 C 765.582031 423.113281 768.9375 419.753906 773.082031 419.753906 C 777.222656 419.753906 780.582031 423.113281 780.582031 427.253906 Z M 780.582031 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="769.601084" y="431.559249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 371.351562 C 762.417969 375.496094 759.058594 378.851562 754.917969 378.851562 C 750.773438 378.851562 747.417969 375.496094 747.417969 371.351562 C 747.417969 367.210938 750.773438 363.851562 754.917969 363.851562 C 759.058594 363.851562 762.417969 367.210938 762.417969 371.351562 Z M 762.417969 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="751.437521" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 371.351562 C 703.640625 375.496094 700.28125 378.851562 696.140625 378.851562 C 691.996094 378.851562 688.640625 375.496094 688.640625 371.351562 C 688.640625 367.210938 691.996094 363.851562 696.140625 363.851562 C 700.28125 363.851562 703.640625 367.210938 703.640625 371.351562 Z M 703.640625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="692.658996" y="375.705549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 371.351562 C 703.640625 375.496094 700.28125 378.851562 696.140625 378.851562 C 691.996094 378.851562 688.640625 375.496094 688.640625 371.351562 C 688.640625 367.210938 691.996094 363.851562 696.140625 363.851562 C 700.28125 363.851562 703.640625 367.210938 703.640625 371.351562 Z M 703.640625 371.351562 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 427.253906 C 685.476562 431.394531 682.117188 434.753906 677.976562 434.753906 C 673.832031 434.753906 670.476562 431.394531 670.476562 427.253906 C 670.476562 423.113281 673.832031 419.753906 677.976562 419.753906 C 682.117188 419.753906 685.476562 423.113281 685.476562 427.253906 Z M 685.476562 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="671.015432" y="431.607249"/>
-  <use xlink:href="#glyph-9847150-10" x="677.975432" y="431.607249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 507.394531 L 1104.777344 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 507.394531 L 926.703125 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 504.304688 L 1015.738281 469.304688 "/>
@@ -503,46 +218,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 427.253906 L 975.6875 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 375.761719 L 974.253906 422.847656 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 511.804688 C 1023.238281 515.945312 1019.882812 519.304688 1015.738281 519.304688 C 1011.597656 519.304688 1008.238281 515.945312 1008.238281 511.804688 C 1008.238281 507.660156 1011.597656 504.304688 1015.738281 504.304688 C 1019.882812 504.304688 1023.238281 507.660156 1023.238281 511.804688 Z M 1023.238281 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1012.259561" y="516.117399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 442.707031 C 1118.34375 446.847656 1114.988281 450.207031 1110.84375 450.207031 C 1106.703125 450.207031 1103.34375 446.847656 1103.34375 442.707031 C 1103.34375 438.5625 1106.703125 435.207031 1110.84375 435.207031 C 1114.988281 435.207031 1118.34375 438.5625 1118.34375 442.707031 Z M 1118.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="1107.365213" y="447.058098"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 330.902344 C 1082.019531 335.042969 1078.660156 338.402344 1074.519531 338.402344 C 1070.375 338.402344 1067.019531 335.042969 1067.019531 330.902344 C 1067.019531 326.757812 1070.375 323.402344 1074.519531 323.402344 C 1078.660156 323.402344 1082.019531 326.757812 1082.019531 330.902344 Z M 1082.019531 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="1071.038087" y="335.254699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 330.902344 C 964.460938 335.042969 961.101562 338.402344 956.960938 338.402344 C 952.820312 338.402344 949.460938 335.042969 949.460938 330.902344 C 949.460938 326.757812 952.820312 323.402344 956.960938 323.402344 C 961.101562 323.402344 964.460938 326.757812 964.460938 330.902344 Z M 964.460938 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="953.481036" y="335.209699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 442.707031 C 928.132812 446.847656 924.777344 450.207031 920.632812 450.207031 C 916.492188 450.207031 913.132812 446.847656 913.132812 442.707031 C 913.132812 438.5625 916.492188 435.207031 920.632812 435.207031 C 924.777344 435.207031 928.132812 438.5625 928.132812 442.707031 Z M 928.132812 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="917.15391" y="447.010098"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 461.804688 C 1023.238281 465.945312 1019.882812 469.304688 1015.738281 469.304688 C 1011.597656 469.304688 1008.238281 465.945312 1008.238281 461.804688 C 1008.238281 457.660156 1011.597656 454.304688 1015.738281 454.304688 C 1019.882812 454.304688 1023.238281 457.660156 1023.238281 461.804688 Z M 1023.238281 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="1012.259561" y="466.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 442.707031 C 928.132812 446.847656 924.777344 450.207031 920.632812 450.207031 C 916.492188 450.207031 913.132812 446.847656 913.132812 442.707031 C 913.132812 438.5625 916.492188 435.207031 920.632812 435.207031 C 924.777344 435.207031 928.132812 438.5625 928.132812 442.707031 Z M 928.132812 442.707031 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 461.804688 C 1023.238281 465.945312 1019.882812 469.304688 1015.738281 469.304688 C 1011.597656 469.304688 1008.238281 465.945312 1008.238281 461.804688 C 1008.238281 457.660156 1011.597656 454.304688 1015.738281 454.304688 C 1019.882812 454.304688 1023.238281 457.660156 1023.238281 461.804688 Z M 1023.238281 461.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 427.253906 C 1070.792969 431.394531 1067.433594 434.753906 1063.292969 434.753906 C 1059.148438 434.753906 1055.792969 431.394531 1055.792969 427.253906 C 1055.792969 423.113281 1059.148438 419.753906 1063.292969 419.753906 C 1067.433594 419.753906 1070.792969 423.113281 1070.792969 427.253906 Z M 1070.792969 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="1059.812387" y="431.559249"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 371.351562 C 1052.628906 375.496094 1049.269531 378.851562 1045.128906 378.851562 C 1040.988281 378.851562 1037.628906 375.496094 1037.628906 371.351562 C 1037.628906 367.210938 1040.988281 363.851562 1045.128906 363.851562 C 1049.269531 363.851562 1052.628906 367.210938 1052.628906 371.351562 Z M 1052.628906 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="1041.648824" y="375.705549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 371.351562 C 993.851562 375.496094 990.492188 378.851562 986.351562 378.851562 C 982.207031 378.851562 978.851562 375.496094 978.851562 371.351562 C 978.851562 367.210938 982.207031 363.851562 986.351562 363.851562 C 990.492188 363.851562 993.851562 367.210938 993.851562 371.351562 Z M 993.851562 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="982.870299" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 427.253906 C 975.6875 431.394531 972.328125 434.753906 968.1875 434.753906 C 964.042969 434.753906 960.6875 431.394531 960.6875 427.253906 C 960.6875 423.113281 964.042969 419.753906 968.1875 419.753906 C 972.328125 419.753906 975.6875 423.113281 975.6875 427.253906 Z M 975.6875 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="961.226736" y="431.607249"/>
-  <use xlink:href="#glyph-9847150-10" x="968.186736" y="431.607249"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 371.351562 C 993.851562 375.496094 990.492188 378.851562 986.351562 378.851562 C 982.207031 378.851562 978.851562 375.496094 978.851562 371.351562 C 978.851562 367.210938 982.207031 363.851562 986.351562 363.851562 C 990.492188 363.851562 993.851562 367.210938 993.851562 371.351562 Z M 993.851562 371.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 427.253906 C 975.6875 431.394531 972.328125 434.753906 968.1875 434.753906 C 964.042969 434.753906 960.6875 431.394531 960.6875 427.253906 C 960.6875 423.113281 964.042969 419.753906 968.1875 419.753906 C 972.328125 419.753906 975.6875 423.113281 975.6875 427.253906 Z M 975.6875 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 507.394531 L 1394.988281 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 507.394531 L 1216.914062 447.113281 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 504.304688 L 1305.949219 469.304688 "/>
@@ -559,45 +243,14 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 427.253906 L 1265.898438 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 375.761719 L 1264.464844 422.847656 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 511.804688 C 1313.449219 515.945312 1310.09375 519.304688 1305.949219 519.304688 C 1301.808594 519.304688 1298.449219 515.945312 1298.449219 511.804688 C 1298.449219 507.660156 1301.808594 504.304688 1305.949219 504.304688 C 1310.09375 504.304688 1313.449219 507.660156 1313.449219 511.804688 Z M 1313.449219 511.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1302.470865" y="516.117399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 442.707031 C 1408.554688 446.847656 1405.199219 450.207031 1401.054688 450.207031 C 1396.914062 450.207031 1393.554688 446.847656 1393.554688 442.707031 C 1393.554688 438.5625 1396.914062 435.207031 1401.054688 435.207031 C 1405.199219 435.207031 1408.554688 438.5625 1408.554688 442.707031 Z M 1408.554688 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-2" x="1397.576516" y="447.058098"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 330.902344 C 1372.230469 335.042969 1368.871094 338.402344 1364.730469 338.402344 C 1360.585938 338.402344 1357.230469 335.042969 1357.230469 330.902344 C 1357.230469 326.757812 1360.585938 323.402344 1364.730469 323.402344 C 1368.871094 323.402344 1372.230469 326.757812 1372.230469 330.902344 Z M 1372.230469 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-3" x="1361.24939" y="335.254699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 330.902344 C 1254.671875 335.042969 1251.316406 338.402344 1247.171875 338.402344 C 1243.03125 338.402344 1239.671875 335.042969 1239.671875 330.902344 C 1239.671875 326.757812 1243.03125 323.402344 1247.171875 323.402344 C 1251.316406 323.402344 1254.671875 326.757812 1254.671875 330.902344 Z M 1254.671875 330.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-4" x="1243.692339" y="335.209699"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 330.902344 C 1372.230469 335.042969 1368.871094 338.402344 1364.730469 338.402344 C 1360.585938 338.402344 1357.230469 335.042969 1357.230469 330.902344 C 1357.230469 326.757812 1360.585938 323.402344 1364.730469 323.402344 C 1368.871094 323.402344 1372.230469 326.757812 1372.230469 330.902344 Z M 1372.230469 330.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 330.902344 C 1254.671875 335.042969 1251.316406 338.402344 1247.171875 338.402344 C 1243.03125 338.402344 1239.671875 335.042969 1239.671875 330.902344 C 1239.671875 326.757812 1243.03125 323.402344 1247.171875 323.402344 C 1251.316406 323.402344 1254.671875 326.757812 1254.671875 330.902344 Z M 1254.671875 330.902344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 442.707031 C 1218.34375 446.847656 1214.988281 450.207031 1210.84375 450.207031 C 1206.703125 450.207031 1203.34375 446.847656 1203.34375 442.707031 C 1203.34375 438.5625 1206.703125 435.207031 1210.84375 435.207031 C 1214.988281 435.207031 1218.34375 438.5625 1218.34375 442.707031 Z M 1218.34375 442.707031 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-5" x="1207.365213" y="447.010098"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 461.804688 C 1313.449219 465.945312 1310.09375 469.304688 1305.949219 469.304688 C 1301.808594 469.304688 1298.449219 465.945312 1298.449219 461.804688 C 1298.449219 457.660156 1301.808594 454.304688 1305.949219 454.304688 C 1310.09375 454.304688 1313.449219 457.660156 1313.449219 461.804688 Z M 1313.449219 461.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-6" x="1302.470865" y="466.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 427.253906 C 1361.003906 431.394531 1357.644531 434.753906 1353.503906 434.753906 C 1349.363281 434.753906 1346.003906 431.394531 1346.003906 427.253906 C 1346.003906 423.113281 1349.363281 419.753906 1353.503906 419.753906 C 1357.644531 419.753906 1361.003906 423.113281 1361.003906 427.253906 Z M 1361.003906 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-7" x="1350.02369" y="431.559249"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 427.253906 C 1361.003906 431.394531 1357.644531 434.753906 1353.503906 434.753906 C 1349.363281 434.753906 1346.003906 431.394531 1346.003906 427.253906 C 1346.003906 423.113281 1349.363281 419.753906 1353.503906 419.753906 C 1357.644531 419.753906 1361.003906 423.113281 1361.003906 427.253906 Z M 1361.003906 427.253906 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 371.351562 C 1342.839844 375.496094 1339.480469 378.851562 1335.339844 378.851562 C 1331.199219 378.851562 1327.839844 375.496094 1327.839844 371.351562 C 1327.839844 367.210938 1331.199219 363.851562 1335.339844 363.851562 C 1339.480469 363.851562 1342.839844 367.210938 1342.839844 371.351562 Z M 1342.839844 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-8" x="1331.860127" y="375.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 371.351562 C 1284.0625 375.496094 1280.703125 378.851562 1276.5625 378.851562 C 1272.417969 378.851562 1269.0625 375.496094 1269.0625 371.351562 C 1269.0625 367.210938 1272.417969 363.851562 1276.5625 363.851562 C 1280.703125 363.851562 1284.0625 367.210938 1284.0625 371.351562 Z M 1284.0625 371.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-9" x="1273.081602" y="375.705549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 427.253906 C 1265.898438 431.394531 1262.539062 434.753906 1258.398438 434.753906 C 1254.257812 434.753906 1250.898438 431.394531 1250.898438 427.253906 C 1250.898438 423.113281 1254.257812 419.753906 1258.398438 419.753906 C 1262.539062 419.753906 1265.898438 423.113281 1265.898438 427.253906 Z M 1265.898438 427.253906 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9847150-1" x="1251.438039" y="431.607249"/>
-  <use xlink:href="#glyph-9847150-10" x="1258.398039" y="431.607249"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 427.253906 C 1265.898438 431.394531 1262.539062 434.753906 1258.398438 434.753906 C 1254.257812 434.753906 1250.898438 431.394531 1250.898438 427.253906 C 1250.898438 423.113281 1254.257812 419.753906 1258.398438 419.753906 C 1262.539062 419.753906 1265.898438 423.113281 1265.898438 427.253906 Z M 1265.898438 427.253906 "/>
 </g>
 </svg>
diff --git a/dev/generated/MaximalIS/index.html b/dev/generated/MaximalIS/index.html
index 2198e11e..bda6eb56 100644
--- a/dev/generated/MaximalIS/index.html
+++ b/dev/generated/MaximalIS/index.html
@@ -5,14 +5,45 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="678e44d9.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We can use <a href="../../ref/#GenericTensorNetworks.MaximalIS"><code>MaximalIS</code></a> to construct the tensor network for solving the maximal independent set problem as</p><pre><code class="language-julia hljs">problem = MaximalIS(graph; optimizer=TreeSA());</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V,E)$</span> be the target graph that we want to solve. The tensor network representation map a vertex <span>$v\in V$</span> to a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. We defined the restriction on its neighborhood <span>$N(v)$</span>:</p><p class="math-container">\[T(x_v)_{s_1,s_2,\ldots,s_{|N(v)|},s_v} = \begin{cases}
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface61">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We can use <a href="../../ref/#GenericTensorNetworks.MaximalIS"><code>MaximalIS</code></a> to construct the tensor network for solving the maximal independent set problem as</p><pre><code class="language-julia hljs">problem = MaximalIS(graph; optimizer=TreeSA());</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Let <span>$G=(V,E)$</span> be the target graph that we want to solve. The tensor network representation map a vertex <span>$v\in V$</span> to a boolean degree of freedom <span>$s_v\in\{0, 1\}$</span>. We defined the restriction on its neighborhood <span>$N(v)$</span>:</p><p class="math-container">\[T(x_v)_{s_1,s_2,\ldots,s_{|N(v)|},s_v} = \begin{cases}
     s_vx_v^{w_v} &amp; s_1=s_2=\ldots=s_{|N(v)|}=0,\\
     1-s_v&amp; \text{otherwise}.
 \end{cases}\]</p><p>The first case corresponds to all the neighborhood vertices of <span>$v$</span> are not in <span>$I_{m}$</span>, then <span>$v$</span> must be in <span>$I_{m}$</span> and contribute a factor <span>$x_{v}^{w_v}$</span>, where <span>$w_v$</span> is the weight of vertex <span>$v$</span>. Otherwise, if any of the neighboring vertices of <span>$v$</span> is in <span>$I_{m}$</span>, <span>$v$</span> must not be in <span>$I_{m}$</span> by the independence requirement.</p><p>Its contraction time space complexity of a <a href="../../ref/#GenericTensorNetworks.MaximalIS"><code>MaximalIS</code></a> instance is no longer determined by the tree-width of the original graph <span>$G$</span>. It is often harder to contract this tensor network than to contract the one for regular independent set problem.</p><pre><code class="language-julia hljs">contraction_complexity(problem)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">Time complexity: 2^11.011227255423254
 Space complexity: 2^8.0
 Read-write complexity: 2^11.129926933510392</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="maximal-independence-polynomial"><a class="docs-heading-anchor" href="#maximal-independence-polynomial">maximal independence polynomial</a><a id="maximal-independence-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#maximal-independence-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the maximal independent set problem is</p><p class="math-container">\[I_{\rm max}(G, x) = \sum_{k=0}^{\alpha(G)} b_k x^k,\]</p><p>where <span>$b_k$</span> is the number of maximal independent sets of size <span>$k$</span> in graph <span>$G=(V, E)$</span>.</p><pre><code class="language-julia hljs">maximal_indenpendence_polynomial = solve(problem, GraphPolynomial())[]</code></pre>10&#8729;x<sup>3</sup> &#43; 5&#8729;x<sup>4</sup><p>One can see the first several coefficients are 0, because it only counts the maximal independent sets, The minimum maximal independent set size is also known as the independent domination number. It can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> property:</p><pre><code class="language-julia hljs">independent_domination_number = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">3.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a>:</p><pre><code class="language-julia hljs">counting_min_maximal_independent_set = solve(problem, CountingMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(3.0, 10.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-all-maximal-independent-set"><a class="docs-heading-anchor" href="#finding-all-maximal-independent-set">finding all maximal independent set</a><a id="finding-all-maximal-independent-set-1"></a><a class="docs-heading-anchor-permalink" href="#finding-all-maximal-independent-set" title="Permalink"></a></h5><pre><code class="language-julia hljs">maximal_configs = solve(problem, ConfigsAll())[]
 
-all(c-&gt;is_maximal_independent_set(graph, c), maximal_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><pre><code class="language-julia hljs">show_gallery(graph, (3, 5); locs=locations, vertex_configs=maximal_configs, format=:svg)</code></pre><img src="dded1bba.svg" alt="Example block output"/><p>This result should be consistent with that given by the <a href="https://en.wikipedia.org/wiki/Bron%E2%80%93Kerbosch_algorithm">Bron Kerbosch algorithm</a> on the complement of Petersen graph.</p><pre><code class="language-julia hljs">cliques = maximal_cliques(complement(graph))</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">15-element Vector{Vector{Int64}}:
+all(c-&gt;is_maximal_independent_set(graph, c), maximal_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><pre><code class="language-julia hljs">show_gallery(graph, (3, 5); locs=locations, vertex_configs=maximal_configs, format=:svg)</code></pre><img src="6904a94b.svg" alt="Example block output"/><p>This result should be consistent with that given by the <a href="https://en.wikipedia.org/wiki/Bron%E2%80%93Kerbosch_algorithm">Bron Kerbosch algorithm</a> on the complement of Petersen graph.</p><pre><code class="language-julia hljs">cliques = maximal_cliques(complement(graph))</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">15-element Vector{Vector{Int64}}:
  [5, 6, 7, 3]
  [5, 6, 2]
  [5, 9, 2, 8]
@@ -29,4 +60,4 @@
  [1, 9, 8]
  [1, 3, 7]</code></pre><p>For sparse graphs, the generic tensor network approach is usually much faster and memory efficient than the Bron Kerbosch algorithm.</p><h5 id="finding-minimum-maximal-independent-set"><a class="docs-heading-anchor" href="#finding-minimum-maximal-independent-set">finding minimum maximal independent set</a><a id="finding-minimum-maximal-independent-set-1"></a><a class="docs-heading-anchor-permalink" href="#finding-minimum-maximal-independent-set" title="Permalink"></a></h5><p>It is the <a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> property in the program.</p><pre><code class="language-julia hljs">minimum_maximal_configs = solve(problem, ConfigsMin())[].c
 
-show_gallery(graph, (2, 5); locs=locations, vertex_configs=minimum_maximal_configs, format=:svg)</code></pre><img src="f9ff3e5a.svg" alt="Example block output"/><p>Similarly, if one is only interested in computing one of the minimum sets, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../IndependentSet/">« Independent set problem</a><a class="docs-footer-nextpage" href="../SpinGlass/">Spin glass problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+show_gallery(graph, (2, 5); locs=locations, vertex_configs=minimum_maximal_configs, format=:svg)</code></pre><img src="c466793e.svg" alt="Example block output"/><p>Similarly, if one is only interested in computing one of the minimum sets, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../IndependentSet/">« Independent set problem</a><a class="docs-footer-nextpage" href="../SpinGlass/">Spin glass problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/PaintShop/3be843ef.svg b/dev/generated/PaintShop/ccf06b52.svg
similarity index 92%
rename from dev/generated/PaintShop/3be843ef.svg
rename to dev/generated/PaintShop/ccf06b52.svg
index 0e5cbc57..b1c3798b 100644
--- a/dev/generated/PaintShop/3be843ef.svg
+++ b/dev/generated/PaintShop/ccf06b52.svg
@@ -2,34 +2,34 @@
 <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="298pt" height="260pt" viewBox="0 0 298 260" version="1.1">
 <defs>
 <g>
-<symbol overflow="visible" id="glyph-4675860-0">
+<symbol overflow="visible" id="glyph-5698650-0">
 <path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-1">
+<symbol overflow="visible" id="glyph-5698650-1">
 <path style="stroke:none;" d="M 2.015625 -6.09375 L 2.015625 0 L 0.875 0 L 0.875 -6.09375 Z M 2.25 -7.984375 C 2.25 -7.867188 2.226562 -7.765625 2.1875 -7.671875 C 2.144531 -7.578125 2.082031 -7.492188 2 -7.421875 C 1.925781 -7.347656 1.84375 -7.289062 1.75 -7.25 C 1.65625 -7.207031 1.550781 -7.1875 1.4375 -7.1875 C 1.332031 -7.1875 1.234375 -7.207031 1.140625 -7.25 C 1.046875 -7.289062 0.960938 -7.347656 0.890625 -7.421875 C 0.816406 -7.492188 0.757812 -7.578125 0.71875 -7.671875 C 0.675781 -7.765625 0.65625 -7.867188 0.65625 -7.984375 C 0.65625 -8.085938 0.675781 -8.1875 0.71875 -8.28125 C 0.757812 -8.382812 0.816406 -8.472656 0.890625 -8.546875 C 0.960938 -8.617188 1.046875 -8.675781 1.140625 -8.71875 C 1.234375 -8.757812 1.332031 -8.78125 1.4375 -8.78125 C 1.550781 -8.78125 1.65625 -8.757812 1.75 -8.71875 C 1.84375 -8.675781 1.925781 -8.617188 2 -8.546875 C 2.082031 -8.472656 2.144531 -8.382812 2.1875 -8.28125 C 2.226562 -8.1875 2.25 -8.085938 2.25 -7.984375 Z M 2.25 -7.984375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-2">
+<symbol overflow="visible" id="glyph-5698650-2">
 <path style="stroke:none;" d="M 4.71875 0 C 4.601562 0 4.515625 -0.015625 4.453125 -0.046875 C 4.398438 -0.0859375 4.351562 -0.160156 4.3125 -0.265625 L 4.1875 -0.8125 C 4.03125 -0.664062 3.875 -0.535156 3.71875 -0.421875 C 3.570312 -0.304688 3.414062 -0.210938 3.25 -0.140625 C 3.082031 -0.0664062 2.90625 -0.0078125 2.71875 0.03125 C 2.53125 0.0703125 2.320312 0.09375 2.09375 0.09375 C 1.851562 0.09375 1.628906 0.0625 1.421875 0 C 1.210938 -0.0703125 1.03125 -0.175781 0.875 -0.3125 C 0.71875 -0.445312 0.59375 -0.613281 0.5 -0.8125 C 0.414062 -1.007812 0.375 -1.25 0.375 -1.53125 C 0.375 -1.769531 0.4375 -2 0.5625 -2.21875 C 0.695312 -2.4375 0.910156 -2.632812 1.203125 -2.8125 C 1.503906 -2.988281 1.890625 -3.128906 2.359375 -3.234375 C 2.835938 -3.347656 3.421875 -3.414062 4.109375 -3.4375 L 4.109375 -3.890625 C 4.109375 -4.347656 4.007812 -4.691406 3.8125 -4.921875 C 3.613281 -5.160156 3.320312 -5.28125 2.9375 -5.28125 C 2.675781 -5.28125 2.457031 -5.242188 2.28125 -5.171875 C 2.113281 -5.109375 1.96875 -5.035156 1.84375 -4.953125 C 1.71875 -4.878906 1.601562 -4.8125 1.5 -4.75 C 1.40625 -4.6875 1.3125 -4.65625 1.21875 -4.65625 C 1.132812 -4.65625 1.066406 -4.675781 1.015625 -4.71875 C 0.960938 -4.757812 0.914062 -4.804688 0.875 -4.859375 L 0.671875 -5.234375 C 1.015625 -5.554688 1.378906 -5.796875 1.765625 -5.953125 C 2.160156 -6.117188 2.597656 -6.203125 3.078125 -6.203125 C 3.421875 -6.203125 3.722656 -6.144531 3.984375 -6.03125 C 4.253906 -5.914062 4.476562 -5.753906 4.65625 -5.546875 C 4.84375 -5.347656 4.984375 -5.109375 5.078125 -4.828125 C 5.171875 -4.546875 5.21875 -4.234375 5.21875 -3.890625 L 5.21875 0 Z M 2.4375 -0.703125 C 2.613281 -0.703125 2.78125 -0.71875 2.9375 -0.75 C 3.09375 -0.789062 3.234375 -0.84375 3.359375 -0.90625 C 3.492188 -0.976562 3.625 -1.0625 3.75 -1.15625 C 3.875 -1.257812 3.992188 -1.375 4.109375 -1.5 L 4.109375 -2.71875 C 3.628906 -2.695312 3.21875 -2.65625 2.875 -2.59375 C 2.539062 -2.539062 2.269531 -2.460938 2.0625 -2.359375 C 1.851562 -2.265625 1.703125 -2.148438 1.609375 -2.015625 C 1.515625 -1.890625 1.46875 -1.742188 1.46875 -1.578125 C 1.46875 -1.421875 1.488281 -1.285156 1.53125 -1.171875 C 1.582031 -1.066406 1.648438 -0.976562 1.734375 -0.90625 C 1.828125 -0.832031 1.929688 -0.78125 2.046875 -0.75 C 2.171875 -0.71875 2.300781 -0.703125 2.4375 -0.703125 Z M 2.4375 -0.703125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-3">
+<symbol overflow="visible" id="glyph-5698650-3">
 <path style="stroke:none;" d="M 5.21875 0 C 5.0625 0 4.960938 -0.078125 4.921875 -0.234375 L 4.828125 -0.9375 C 4.691406 -0.78125 4.550781 -0.640625 4.40625 -0.515625 C 4.257812 -0.390625 4.101562 -0.28125 3.9375 -0.1875 C 3.769531 -0.101562 3.59375 -0.0390625 3.40625 0 C 3.21875 0.0507812 3.015625 0.078125 2.796875 0.078125 C 2.453125 0.078125 2.132812 0.015625 1.84375 -0.109375 C 1.5625 -0.242188 1.320312 -0.441406 1.125 -0.703125 C 0.925781 -0.972656 0.769531 -1.300781 0.65625 -1.6875 C 0.550781 -2.070312 0.5 -2.519531 0.5 -3.03125 C 0.5 -3.476562 0.554688 -3.894531 0.671875 -4.28125 C 0.796875 -4.664062 0.972656 -5 1.203125 -5.28125 C 1.429688 -5.570312 1.707031 -5.796875 2.03125 -5.953125 C 2.351562 -6.117188 2.71875 -6.203125 3.125 -6.203125 C 3.488281 -6.203125 3.800781 -6.140625 4.0625 -6.015625 C 4.332031 -5.890625 4.566406 -5.71875 4.765625 -5.5 L 4.765625 -8.84375 L 5.90625 -8.84375 L 5.90625 0 Z M 3.171875 -0.828125 C 3.503906 -0.828125 3.800781 -0.90625 4.0625 -1.0625 C 4.320312 -1.21875 4.554688 -1.4375 4.765625 -1.71875 L 4.765625 -4.625 C 4.578125 -4.882812 4.367188 -5.0625 4.140625 -5.15625 C 3.910156 -5.257812 3.660156 -5.3125 3.390625 -5.3125 C 2.835938 -5.3125 2.410156 -5.113281 2.109375 -4.71875 C 1.816406 -4.332031 1.671875 -3.769531 1.671875 -3.03125 C 1.671875 -2.632812 1.703125 -2.296875 1.765625 -2.015625 C 1.835938 -1.742188 1.9375 -1.519531 2.0625 -1.34375 C 2.195312 -1.164062 2.351562 -1.035156 2.53125 -0.953125 C 2.71875 -0.867188 2.929688 -0.828125 3.171875 -0.828125 Z M 3.171875 -0.828125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-4">
+<symbol overflow="visible" id="glyph-5698650-4">
 <path style="stroke:none;" d="M 2.96875 -6.1875 C 3.226562 -6.1875 3.46875 -6.15625 3.6875 -6.09375 C 3.914062 -6.039062 4.128906 -5.960938 4.328125 -5.859375 L 6 -5.859375 L 6 -5.4375 C 6 -5.289062 5.910156 -5.203125 5.734375 -5.171875 L 5.078125 -5.0625 C 5.203125 -4.8125 5.265625 -4.535156 5.265625 -4.234375 C 5.265625 -3.929688 5.207031 -3.660156 5.09375 -3.421875 C 4.976562 -3.179688 4.816406 -2.972656 4.609375 -2.796875 C 4.410156 -2.628906 4.171875 -2.5 3.890625 -2.40625 C 3.609375 -2.3125 3.300781 -2.265625 2.96875 -2.265625 C 2.6875 -2.265625 2.425781 -2.296875 2.1875 -2.359375 C 1.9375 -2.203125 1.8125 -2.035156 1.8125 -1.859375 C 1.8125 -1.710938 1.867188 -1.601562 1.984375 -1.53125 C 2.097656 -1.46875 2.25 -1.421875 2.4375 -1.390625 C 2.632812 -1.359375 2.851562 -1.335938 3.09375 -1.328125 C 3.34375 -1.316406 3.59375 -1.300781 3.84375 -1.28125 C 4.101562 -1.269531 4.351562 -1.238281 4.59375 -1.1875 C 4.84375 -1.144531 5.0625 -1.070312 5.25 -0.96875 C 5.445312 -0.875 5.601562 -0.738281 5.71875 -0.5625 C 5.832031 -0.382812 5.890625 -0.15625 5.890625 0.125 C 5.890625 0.394531 5.828125 0.648438 5.703125 0.890625 C 5.578125 1.140625 5.390625 1.359375 5.140625 1.546875 C 4.890625 1.742188 4.585938 1.898438 4.234375 2.015625 C 3.878906 2.128906 3.476562 2.1875 3.03125 2.1875 C 2.582031 2.1875 2.191406 2.140625 1.859375 2.046875 C 1.523438 1.960938 1.242188 1.84375 1.015625 1.6875 C 0.796875 1.539062 0.628906 1.367188 0.515625 1.171875 C 0.410156 0.984375 0.359375 0.785156 0.359375 0.578125 C 0.359375 0.273438 0.453125 0.0234375 0.640625 -0.171875 C 0.828125 -0.378906 1.082031 -0.546875 1.40625 -0.671875 C 1.226562 -0.742188 1.085938 -0.847656 0.984375 -0.984375 C 0.878906 -1.128906 0.828125 -1.316406 0.828125 -1.546875 C 0.828125 -1.628906 0.84375 -1.71875 0.875 -1.8125 C 0.90625 -1.90625 0.953125 -2 1.015625 -2.09375 C 1.078125 -2.1875 1.15625 -2.273438 1.25 -2.359375 C 1.351562 -2.441406 1.472656 -2.519531 1.609375 -2.59375 C 1.304688 -2.757812 1.066406 -2.976562 0.890625 -3.25 C 0.722656 -3.53125 0.640625 -3.859375 0.640625 -4.234375 C 0.640625 -4.535156 0.695312 -4.804688 0.8125 -5.046875 C 0.925781 -5.285156 1.085938 -5.488281 1.296875 -5.65625 C 1.503906 -5.832031 1.75 -5.960938 2.03125 -6.046875 C 2.3125 -6.140625 2.625 -6.1875 2.96875 -6.1875 Z M 4.84375 0.3125 C 4.84375 0.175781 4.800781 0.0664062 4.71875 -0.015625 C 4.644531 -0.109375 4.535156 -0.179688 4.390625 -0.234375 C 4.253906 -0.285156 4.09375 -0.320312 3.90625 -0.34375 C 3.71875 -0.363281 3.519531 -0.378906 3.3125 -0.390625 C 3.113281 -0.398438 2.90625 -0.410156 2.6875 -0.421875 C 2.476562 -0.441406 2.273438 -0.460938 2.078125 -0.484375 C 1.867188 -0.390625 1.691406 -0.265625 1.546875 -0.109375 C 1.410156 0.046875 1.34375 0.222656 1.34375 0.421875 C 1.34375 0.554688 1.375 0.679688 1.4375 0.796875 C 1.507812 0.910156 1.613281 1.007812 1.75 1.09375 C 1.894531 1.175781 2.070312 1.238281 2.28125 1.28125 C 2.5 1.332031 2.753906 1.359375 3.046875 1.359375 C 3.335938 1.359375 3.59375 1.332031 3.8125 1.28125 C 4.039062 1.226562 4.226562 1.15625 4.375 1.0625 C 4.53125 0.96875 4.644531 0.859375 4.71875 0.734375 C 4.800781 0.609375 4.84375 0.46875 4.84375 0.3125 Z M 2.96875 -3.015625 C 3.175781 -3.015625 3.359375 -3.039062 3.515625 -3.09375 C 3.679688 -3.15625 3.816406 -3.238281 3.921875 -3.34375 C 4.035156 -3.445312 4.117188 -3.570312 4.171875 -3.71875 C 4.222656 -3.863281 4.25 -4.023438 4.25 -4.203125 C 4.25 -4.554688 4.140625 -4.835938 3.921875 -5.046875 C 3.703125 -5.265625 3.382812 -5.375 2.96875 -5.375 C 2.539062 -5.375 2.21875 -5.265625 2 -5.046875 C 1.789062 -4.835938 1.6875 -4.554688 1.6875 -4.203125 C 1.6875 -4.023438 1.710938 -3.863281 1.765625 -3.71875 C 1.816406 -3.582031 1.894531 -3.457031 2 -3.34375 C 2.113281 -3.238281 2.25 -3.15625 2.40625 -3.09375 C 2.570312 -3.039062 2.757812 -3.015625 2.96875 -3.015625 Z M 2.96875 -3.015625 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-5">
+<symbol overflow="visible" id="glyph-5698650-5">
 <path style="stroke:none;" d="M 0.828125 0 L 0.828125 -8.84375 L 1.96875 -8.84375 L 1.96875 -5.234375 C 2.21875 -5.523438 2.503906 -5.753906 2.828125 -5.921875 C 3.148438 -6.097656 3.519531 -6.1875 3.9375 -6.1875 C 4.289062 -6.1875 4.609375 -6.113281 4.890625 -5.96875 C 5.179688 -5.832031 5.425781 -5.632812 5.625 -5.375 C 5.820312 -5.125 5.972656 -4.8125 6.078125 -4.4375 C 6.179688 -4.070312 6.234375 -3.660156 6.234375 -3.203125 C 6.234375 -2.710938 6.171875 -2.265625 6.046875 -1.859375 C 5.929688 -1.453125 5.757812 -1.101562 5.53125 -0.8125 C 5.3125 -0.53125 5.039062 -0.3125 4.71875 -0.15625 C 4.394531 0 4.03125 0.078125 3.625 0.078125 C 3.226562 0.078125 2.894531 0.00390625 2.625 -0.140625 C 2.351562 -0.285156 2.113281 -0.492188 1.90625 -0.765625 L 1.859375 -0.234375 C 1.816406 -0.078125 1.71875 0 1.5625 0 Z M 3.546875 -5.28125 C 3.210938 -5.28125 2.921875 -5.203125 2.671875 -5.046875 C 2.421875 -4.890625 2.1875 -4.671875 1.96875 -4.390625 L 1.96875 -1.484375 C 2.15625 -1.234375 2.363281 -1.054688 2.59375 -0.953125 C 2.820312 -0.847656 3.070312 -0.796875 3.34375 -0.796875 C 3.894531 -0.796875 4.316406 -0.988281 4.609375 -1.375 C 4.910156 -1.769531 5.0625 -2.363281 5.0625 -3.15625 C 5.0625 -3.882812 4.929688 -4.421875 4.671875 -4.765625 C 4.410156 -5.109375 4.035156 -5.28125 3.546875 -5.28125 Z M 3.546875 -5.28125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-6">
+<symbol overflow="visible" id="glyph-5698650-6">
 <path style="stroke:none;" d="M 3.34375 -6.1875 C 3.707031 -6.1875 4.046875 -6.125 4.359375 -6 C 4.671875 -5.875 4.941406 -5.695312 5.171875 -5.46875 C 5.398438 -5.238281 5.578125 -4.953125 5.703125 -4.609375 C 5.828125 -4.273438 5.890625 -3.890625 5.890625 -3.453125 C 5.890625 -3.273438 5.867188 -3.15625 5.828125 -3.09375 C 5.796875 -3.039062 5.726562 -3.015625 5.625 -3.015625 L 1.609375 -3.015625 C 1.617188 -2.640625 1.671875 -2.3125 1.765625 -2.03125 C 1.859375 -1.757812 1.984375 -1.53125 2.140625 -1.34375 C 2.304688 -1.164062 2.503906 -1.03125 2.734375 -0.9375 C 2.960938 -0.851562 3.21875 -0.8125 3.5 -0.8125 C 3.757812 -0.8125 3.984375 -0.835938 4.171875 -0.890625 C 4.367188 -0.953125 4.535156 -1.019531 4.671875 -1.09375 C 4.804688 -1.164062 4.921875 -1.234375 5.015625 -1.296875 C 5.117188 -1.359375 5.207031 -1.390625 5.28125 -1.390625 C 5.375 -1.390625 5.441406 -1.351562 5.484375 -1.28125 L 5.8125 -0.859375 C 5.664062 -0.691406 5.5 -0.550781 5.3125 -0.4375 C 5.132812 -0.320312 4.9375 -0.222656 4.71875 -0.140625 C 4.507812 -0.0664062 4.289062 -0.015625 4.0625 0.015625 C 3.84375 0.0546875 3.625 0.078125 3.40625 0.078125 C 2.976562 0.078125 2.585938 0.0078125 2.234375 -0.125 C 1.878906 -0.269531 1.570312 -0.476562 1.3125 -0.75 C 1.050781 -1.019531 0.847656 -1.359375 0.703125 -1.765625 C 0.554688 -2.171875 0.484375 -2.640625 0.484375 -3.171875 C 0.484375 -3.597656 0.546875 -3.992188 0.671875 -4.359375 C 0.804688 -4.722656 0.992188 -5.039062 1.234375 -5.3125 C 1.484375 -5.582031 1.785156 -5.796875 2.140625 -5.953125 C 2.492188 -6.109375 2.894531 -6.1875 3.34375 -6.1875 Z M 3.359375 -5.359375 C 2.859375 -5.359375 2.460938 -5.210938 2.171875 -4.921875 C 1.890625 -4.628906 1.710938 -4.226562 1.640625 -3.71875 L 4.875 -3.71875 C 4.875 -3.957031 4.835938 -4.175781 4.765625 -4.375 C 4.703125 -4.570312 4.601562 -4.742188 4.46875 -4.890625 C 4.34375 -5.035156 4.1875 -5.148438 4 -5.234375 C 3.8125 -5.316406 3.597656 -5.359375 3.359375 -5.359375 Z M 3.359375 -5.359375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-7">
+<symbol overflow="visible" id="glyph-5698650-7">
 <path style="stroke:none;" d="M 1.234375 0 L 1.234375 -5.140625 L 0.578125 -5.21875 C 0.484375 -5.238281 0.410156 -5.269531 0.359375 -5.3125 C 0.304688 -5.363281 0.28125 -5.429688 0.28125 -5.515625 L 0.28125 -5.984375 L 1.234375 -5.984375 L 1.234375 -6.546875 C 1.234375 -6.898438 1.28125 -7.210938 1.375 -7.484375 C 1.476562 -7.753906 1.617188 -7.984375 1.796875 -8.171875 C 1.984375 -8.359375 2.207031 -8.5 2.46875 -8.59375 C 2.738281 -8.6875 3.035156 -8.734375 3.359375 -8.734375 C 3.484375 -8.734375 3.609375 -8.722656 3.734375 -8.703125 C 3.867188 -8.691406 3.992188 -8.664062 4.109375 -8.625 L 4.09375 -8.046875 C 4.082031 -8.003906 4.0625 -7.96875 4.03125 -7.9375 C 4.007812 -7.914062 3.972656 -7.894531 3.921875 -7.875 C 3.878906 -7.863281 3.820312 -7.859375 3.75 -7.859375 C 3.6875 -7.859375 3.617188 -7.859375 3.546875 -7.859375 C 3.359375 -7.859375 3.1875 -7.835938 3.03125 -7.796875 C 2.882812 -7.753906 2.757812 -7.679688 2.65625 -7.578125 C 2.550781 -7.472656 2.46875 -7.332031 2.40625 -7.15625 C 2.351562 -6.976562 2.328125 -6.765625 2.328125 -6.515625 L 2.328125 -5.984375 L 4.0625 -5.984375 L 4.0625 -5.15625 L 2.375 -5.15625 L 2.375 0 Z M 1.234375 0 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-8">
+<symbol overflow="visible" id="glyph-5698650-8">
 <path style="stroke:none;" d="M 5.09375 -4.96875 C 5.0625 -4.925781 5.023438 -4.890625 4.984375 -4.859375 C 4.953125 -4.835938 4.90625 -4.828125 4.84375 -4.828125 C 4.78125 -4.828125 4.710938 -4.851562 4.640625 -4.90625 C 4.566406 -4.957031 4.476562 -5.007812 4.375 -5.0625 C 4.269531 -5.125 4.140625 -5.175781 3.984375 -5.21875 C 3.835938 -5.269531 3.65625 -5.296875 3.4375 -5.296875 C 3.144531 -5.296875 2.882812 -5.242188 2.65625 -5.140625 C 2.4375 -5.035156 2.25 -4.882812 2.09375 -4.6875 C 1.945312 -4.5 1.835938 -4.265625 1.765625 -3.984375 C 1.691406 -3.710938 1.65625 -3.398438 1.65625 -3.046875 C 1.65625 -2.691406 1.691406 -2.375 1.765625 -2.09375 C 1.847656 -1.8125 1.960938 -1.570312 2.109375 -1.375 C 2.265625 -1.1875 2.445312 -1.039062 2.65625 -0.9375 C 2.875 -0.84375 3.117188 -0.796875 3.390625 -0.796875 C 3.640625 -0.796875 3.847656 -0.828125 4.015625 -0.890625 C 4.179688 -0.953125 4.316406 -1.019531 4.421875 -1.09375 C 4.523438 -1.164062 4.613281 -1.234375 4.6875 -1.296875 C 4.769531 -1.359375 4.847656 -1.390625 4.921875 -1.390625 C 5.015625 -1.390625 5.085938 -1.351562 5.140625 -1.28125 L 5.453125 -0.859375 C 5.316406 -0.691406 5.160156 -0.546875 4.984375 -0.421875 C 4.816406 -0.304688 4.632812 -0.210938 4.4375 -0.140625 C 4.238281 -0.0664062 4.035156 -0.015625 3.828125 0.015625 C 3.617188 0.0546875 3.40625 0.078125 3.1875 0.078125 C 2.800781 0.078125 2.441406 0.0078125 2.109375 -0.125 C 1.785156 -0.269531 1.503906 -0.472656 1.265625 -0.734375 C 1.023438 -1.003906 0.832031 -1.332031 0.6875 -1.71875 C 0.550781 -2.113281 0.484375 -2.554688 0.484375 -3.046875 C 0.484375 -3.503906 0.546875 -3.921875 0.671875 -4.296875 C 0.796875 -4.679688 0.976562 -5.015625 1.21875 -5.296875 C 1.46875 -5.578125 1.769531 -5.796875 2.125 -5.953125 C 2.488281 -6.109375 2.898438 -6.1875 3.359375 -6.1875 C 3.796875 -6.1875 4.179688 -6.113281 4.515625 -5.96875 C 4.847656 -5.832031 5.140625 -5.640625 5.390625 -5.390625 Z M 5.09375 -4.96875 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-4675860-9">
+<symbol overflow="visible" id="glyph-5698650-9">
 <path style="stroke:none;" d="M 0.828125 0 L 0.828125 -8.84375 L 1.96875 -8.84375 L 1.96875 -5.3125 C 2.226562 -5.570312 2.507812 -5.78125 2.8125 -5.9375 C 3.125 -6.101562 3.488281 -6.1875 3.90625 -6.1875 C 4.226562 -6.1875 4.515625 -6.128906 4.765625 -6.015625 C 5.023438 -5.898438 5.238281 -5.742188 5.40625 -5.546875 C 5.582031 -5.347656 5.710938 -5.101562 5.796875 -4.8125 C 5.890625 -4.53125 5.9375 -4.21875 5.9375 -3.875 L 5.9375 0 L 4.796875 0 L 4.796875 -3.875 C 4.796875 -4.320312 4.691406 -4.664062 4.484375 -4.90625 C 4.285156 -5.15625 3.976562 -5.28125 3.5625 -5.28125 C 3.257812 -5.28125 2.972656 -5.207031 2.703125 -5.0625 C 2.441406 -4.914062 2.195312 -4.71875 1.96875 -4.46875 L 1.96875 0 Z M 0.828125 0 "/>
 </symbol>
 </g>
@@ -62,76 +62,76 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 246.347656 169.441406 L 243.472656 180.167969 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.78125 193.90625 L 232.230469 203.527344 "/>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.308594 210.019531 C 77.308594 214.164062 73.953125 217.519531 69.808594 217.519531 C 65.667969 217.519531 62.308594 214.164062 62.308594 210.019531 C 62.308594 205.878906 65.667969 202.519531 69.808594 202.519531 C 73.953125 202.519531 77.308594 205.878906 77.308594 210.019531 Z M 77.308594 210.019531 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-1" x="68.357152" y="214.409629"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-1" x="68.357152" y="214.409629"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 64.257812 187.414062 C 64.257812 191.554688 60.898438 194.914062 56.757812 194.914062 C 52.613281 194.914062 49.257812 191.554688 49.257812 187.414062 C 49.257812 183.269531 52.613281 179.914062 56.757812 179.914062 C 60.898438 179.914062 64.257812 183.269531 64.257812 187.414062 Z M 64.257812 187.414062 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-2" x="53.762533" y="190.511829"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-2" x="53.762533" y="190.511829"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 162.195312 C 57.5 166.339844 54.140625 169.695312 50 169.695312 C 45.859375 169.695312 42.5 166.339844 42.5 162.195312 C 42.5 158.054688 45.859375 154.695312 50 154.695312 C 54.140625 154.695312 57.5 158.054688 57.5 162.195312 Z M 57.5 162.195312 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-3" x="46.631" y="166.622105"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-3" x="46.631" y="166.622105"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 136.09375 C 57.5 140.234375 54.140625 143.59375 50 143.59375 C 45.859375 143.59375 42.5 140.234375 42.5 136.09375 C 42.5 131.949219 45.859375 128.59375 50 128.59375 C 54.140625 128.59375 57.5 131.949219 57.5 136.09375 Z M 57.5 136.09375 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-4" x="46.871" y="139.187867"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-4" x="46.871" y="139.187867"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 64.257812 110.875 C 64.257812 115.019531 60.898438 118.375 56.757812 118.375 C 52.613281 118.375 49.257812 115.019531 49.257812 110.875 C 49.257812 106.734375 52.613281 103.375 56.757812 103.375 C 60.898438 103.375 64.257812 106.734375 64.257812 110.875 Z M 64.257812 110.875 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-5" x="53.387533" y="115.301143"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-5" x="53.387533" y="115.301143"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.308594 88.269531 C 77.308594 92.410156 73.953125 95.769531 69.808594 95.769531 C 65.667969 95.769531 62.308594 92.410156 62.308594 88.269531 C 62.308594 84.125 65.667969 80.769531 69.808594 80.769531 C 73.953125 80.769531 77.308594 84.125 77.308594 88.269531 Z M 77.308594 88.269531 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-6" x="66.635152" y="91.361343"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-6" x="66.635152" y="91.361343"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 95.769531 69.808594 C 95.769531 73.953125 92.410156 77.308594 88.269531 77.308594 C 84.125 77.308594 80.769531 73.953125 80.769531 69.808594 C 80.769531 65.667969 84.125 62.308594 88.269531 62.308594 C 92.410156 62.308594 95.769531 65.667969 95.769531 69.808594 Z M 95.769531 69.808594 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-2" x="85.274343" y="72.908152"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-2" x="85.274343" y="72.908152"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 118.375 56.757812 C 118.375 60.898438 115.019531 64.257812 110.875 64.257812 C 106.734375 64.257812 103.375 60.898438 103.375 56.757812 C 103.375 52.613281 106.734375 49.257812 110.875 49.257812 C 115.019531 49.257812 118.375 52.613281 118.375 56.757812 Z M 118.375 56.757812 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-3" x="107.507143" y="61.181533"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-3" x="107.507143" y="61.181533"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 143.59375 50 C 143.59375 54.140625 140.234375 57.5 136.09375 57.5 C 131.949219 57.5 128.59375 54.140625 128.59375 50 C 128.59375 45.859375 131.949219 42.5 136.09375 42.5 C 140.234375 42.5 143.59375 45.859375 143.59375 50 Z M 143.59375 50 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-7" x="133.982867" y="54.371"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-7" x="133.982867" y="54.371"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 169.695312 50 C 169.695312 54.140625 166.339844 57.5 162.195312 57.5 C 158.054688 57.5 154.695312 54.140625 154.695312 50 C 154.695312 45.859375 158.054688 42.5 162.195312 42.5 C 166.339844 42.5 169.695312 45.859375 169.695312 50 Z M 169.695312 50 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-8" x="159.329105" y="53.093"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-8" x="159.329105" y="53.093"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 194.914062 56.757812 C 194.914062 60.898438 191.554688 64.257812 187.414062 64.257812 C 183.269531 64.257812 179.914062 60.898438 179.914062 56.757812 C 179.914062 52.613281 183.269531 49.257812 187.414062 49.257812 C 191.554688 49.257812 194.914062 52.613281 194.914062 56.757812 Z M 194.914062 56.757812 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-8" x="184.544829" y="59.849533"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-8" x="184.544829" y="59.849533"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 217.519531 69.808594 C 217.519531 73.953125 214.164062 77.308594 210.019531 77.308594 C 205.878906 77.308594 202.519531 73.953125 202.519531 69.808594 C 202.519531 65.667969 205.878906 62.308594 210.019531 62.308594 C 214.164062 62.308594 217.519531 65.667969 217.519531 69.808594 Z M 217.519531 69.808594 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-9" x="206.666629" y="74.234152"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-9" x="206.666629" y="74.234152"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 235.980469 88.269531 C 235.980469 92.410156 232.621094 95.769531 228.480469 95.769531 C 224.335938 95.769531 220.980469 92.410156 220.980469 88.269531 C 220.980469 84.125 224.335938 80.769531 228.480469 80.769531 C 232.621094 80.769531 235.980469 84.125 235.980469 88.269531 Z M 235.980469 88.269531 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-4" x="225.35082" y="91.364343"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-4" x="225.35082" y="91.364343"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 249.03125 110.875 C 249.03125 115.019531 245.675781 118.375 241.53125 118.375 C 237.390625 118.375 234.03125 115.019531 234.03125 110.875 C 234.03125 106.734375 237.390625 103.375 241.53125 103.375 C 245.675781 103.375 249.03125 106.734375 249.03125 110.875 Z M 249.03125 110.875 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-9" x="238.178439" y="115.301143"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-9" x="238.178439" y="115.301143"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 255.789062 136.09375 C 255.789062 140.234375 252.429688 143.59375 248.289062 143.59375 C 244.148438 143.59375 240.789062 140.234375 240.789062 136.09375 C 240.789062 131.949219 244.148438 128.59375 248.289062 128.59375 C 252.429688 128.59375 255.789062 131.949219 255.789062 136.09375 Z M 255.789062 136.09375 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-6" x="245.114972" y="139.184867"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-6" x="245.114972" y="139.184867"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 255.789062 162.195312 C 255.789062 166.339844 252.429688 169.695312 248.289062 169.695312 C 244.148438 169.695312 240.789062 166.339844 240.789062 162.195312 C 240.789062 158.054688 244.148438 154.695312 248.289062 154.695312 C 252.429688 154.695312 255.789062 158.054688 255.789062 162.195312 Z M 255.789062 162.195312 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-5" x="244.919972" y="166.622105"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-5" x="244.919972" y="166.622105"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 249.03125 187.414062 C 249.03125 191.554688 245.675781 194.914062 241.53125 194.914062 C 237.390625 194.914062 234.03125 191.554688 234.03125 187.414062 C 234.03125 183.269531 237.390625 179.914062 241.53125 179.914062 C 245.675781 179.914062 249.03125 183.269531 249.03125 187.414062 Z M 249.03125 187.414062 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-1" x="240.080439" y="191.801829"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-1" x="240.080439" y="191.801829"/>
 </g>
 <path style="fill-rule:nonzero;fill:rgb(0%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 235.980469 210.019531 C 235.980469 214.164062 232.621094 217.519531 228.480469 217.519531 C 224.335938 217.519531 220.980469 214.164062 220.980469 210.019531 C 220.980469 205.878906 224.335938 202.519531 228.480469 202.519531 C 232.621094 202.519531 235.980469 205.878906 235.980469 210.019531 Z M 235.980469 210.019531 "/>
-<g style="fill:rgb(100%,100%,100%);fill-opacity:1;">
-  <use xlink:href="#glyph-4675860-7" x="226.37082" y="214.391629"/>
+<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
+  <use xlink:href="#glyph-5698650-7" x="226.37082" y="214.391629"/>
 </g>
 </g>
 </svg>
diff --git a/dev/generated/PaintShop/fe3874dd.svg b/dev/generated/PaintShop/e63a2fee.svg
similarity index 95%
rename from dev/generated/PaintShop/fe3874dd.svg
rename to dev/generated/PaintShop/e63a2fee.svg
index a800afae..ee581a58 100644
--- a/dev/generated/PaintShop/fe3874dd.svg
+++ b/dev/generated/PaintShop/e63a2fee.svg
@@ -2,34 +2,34 @@
 <svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="298pt" height="260pt" viewBox="0 0 298 260" version="1.1">
 <defs>
 <g>
-<symbol overflow="visible" id="glyph-2869800-0">
+<symbol overflow="visible" id="glyph-2984660-0">
 <path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-1">
+<symbol overflow="visible" id="glyph-2984660-1">
 <path style="stroke:none;" d="M 2.015625 -6.09375 L 2.015625 0 L 0.875 0 L 0.875 -6.09375 Z M 2.25 -7.984375 C 2.25 -7.867188 2.226562 -7.765625 2.1875 -7.671875 C 2.144531 -7.578125 2.082031 -7.492188 2 -7.421875 C 1.925781 -7.347656 1.84375 -7.289062 1.75 -7.25 C 1.65625 -7.207031 1.550781 -7.1875 1.4375 -7.1875 C 1.332031 -7.1875 1.234375 -7.207031 1.140625 -7.25 C 1.046875 -7.289062 0.960938 -7.347656 0.890625 -7.421875 C 0.816406 -7.492188 0.757812 -7.578125 0.71875 -7.671875 C 0.675781 -7.765625 0.65625 -7.867188 0.65625 -7.984375 C 0.65625 -8.085938 0.675781 -8.1875 0.71875 -8.28125 C 0.757812 -8.382812 0.816406 -8.472656 0.890625 -8.546875 C 0.960938 -8.617188 1.046875 -8.675781 1.140625 -8.71875 C 1.234375 -8.757812 1.332031 -8.78125 1.4375 -8.78125 C 1.550781 -8.78125 1.65625 -8.757812 1.75 -8.71875 C 1.84375 -8.675781 1.925781 -8.617188 2 -8.546875 C 2.082031 -8.472656 2.144531 -8.382812 2.1875 -8.28125 C 2.226562 -8.1875 2.25 -8.085938 2.25 -7.984375 Z M 2.25 -7.984375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-2">
+<symbol overflow="visible" id="glyph-2984660-2">
 <path style="stroke:none;" d="M 4.71875 0 C 4.601562 0 4.515625 -0.015625 4.453125 -0.046875 C 4.398438 -0.0859375 4.351562 -0.160156 4.3125 -0.265625 L 4.1875 -0.8125 C 4.03125 -0.664062 3.875 -0.535156 3.71875 -0.421875 C 3.570312 -0.304688 3.414062 -0.210938 3.25 -0.140625 C 3.082031 -0.0664062 2.90625 -0.0078125 2.71875 0.03125 C 2.53125 0.0703125 2.320312 0.09375 2.09375 0.09375 C 1.851562 0.09375 1.628906 0.0625 1.421875 0 C 1.210938 -0.0703125 1.03125 -0.175781 0.875 -0.3125 C 0.71875 -0.445312 0.59375 -0.613281 0.5 -0.8125 C 0.414062 -1.007812 0.375 -1.25 0.375 -1.53125 C 0.375 -1.769531 0.4375 -2 0.5625 -2.21875 C 0.695312 -2.4375 0.910156 -2.632812 1.203125 -2.8125 C 1.503906 -2.988281 1.890625 -3.128906 2.359375 -3.234375 C 2.835938 -3.347656 3.421875 -3.414062 4.109375 -3.4375 L 4.109375 -3.890625 C 4.109375 -4.347656 4.007812 -4.691406 3.8125 -4.921875 C 3.613281 -5.160156 3.320312 -5.28125 2.9375 -5.28125 C 2.675781 -5.28125 2.457031 -5.242188 2.28125 -5.171875 C 2.113281 -5.109375 1.96875 -5.035156 1.84375 -4.953125 C 1.71875 -4.878906 1.601562 -4.8125 1.5 -4.75 C 1.40625 -4.6875 1.3125 -4.65625 1.21875 -4.65625 C 1.132812 -4.65625 1.066406 -4.675781 1.015625 -4.71875 C 0.960938 -4.757812 0.914062 -4.804688 0.875 -4.859375 L 0.671875 -5.234375 C 1.015625 -5.554688 1.378906 -5.796875 1.765625 -5.953125 C 2.160156 -6.117188 2.597656 -6.203125 3.078125 -6.203125 C 3.421875 -6.203125 3.722656 -6.144531 3.984375 -6.03125 C 4.253906 -5.914062 4.476562 -5.753906 4.65625 -5.546875 C 4.84375 -5.347656 4.984375 -5.109375 5.078125 -4.828125 C 5.171875 -4.546875 5.21875 -4.234375 5.21875 -3.890625 L 5.21875 0 Z M 2.4375 -0.703125 C 2.613281 -0.703125 2.78125 -0.71875 2.9375 -0.75 C 3.09375 -0.789062 3.234375 -0.84375 3.359375 -0.90625 C 3.492188 -0.976562 3.625 -1.0625 3.75 -1.15625 C 3.875 -1.257812 3.992188 -1.375 4.109375 -1.5 L 4.109375 -2.71875 C 3.628906 -2.695312 3.21875 -2.65625 2.875 -2.59375 C 2.539062 -2.539062 2.269531 -2.460938 2.0625 -2.359375 C 1.851562 -2.265625 1.703125 -2.148438 1.609375 -2.015625 C 1.515625 -1.890625 1.46875 -1.742188 1.46875 -1.578125 C 1.46875 -1.421875 1.488281 -1.285156 1.53125 -1.171875 C 1.582031 -1.066406 1.648438 -0.976562 1.734375 -0.90625 C 1.828125 -0.832031 1.929688 -0.78125 2.046875 -0.75 C 2.171875 -0.71875 2.300781 -0.703125 2.4375 -0.703125 Z M 2.4375 -0.703125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-3">
+<symbol overflow="visible" id="glyph-2984660-3">
 <path style="stroke:none;" d="M 5.21875 0 C 5.0625 0 4.960938 -0.078125 4.921875 -0.234375 L 4.828125 -0.9375 C 4.691406 -0.78125 4.550781 -0.640625 4.40625 -0.515625 C 4.257812 -0.390625 4.101562 -0.28125 3.9375 -0.1875 C 3.769531 -0.101562 3.59375 -0.0390625 3.40625 0 C 3.21875 0.0507812 3.015625 0.078125 2.796875 0.078125 C 2.453125 0.078125 2.132812 0.015625 1.84375 -0.109375 C 1.5625 -0.242188 1.320312 -0.441406 1.125 -0.703125 C 0.925781 -0.972656 0.769531 -1.300781 0.65625 -1.6875 C 0.550781 -2.070312 0.5 -2.519531 0.5 -3.03125 C 0.5 -3.476562 0.554688 -3.894531 0.671875 -4.28125 C 0.796875 -4.664062 0.972656 -5 1.203125 -5.28125 C 1.429688 -5.570312 1.707031 -5.796875 2.03125 -5.953125 C 2.351562 -6.117188 2.71875 -6.203125 3.125 -6.203125 C 3.488281 -6.203125 3.800781 -6.140625 4.0625 -6.015625 C 4.332031 -5.890625 4.566406 -5.71875 4.765625 -5.5 L 4.765625 -8.84375 L 5.90625 -8.84375 L 5.90625 0 Z M 3.171875 -0.828125 C 3.503906 -0.828125 3.800781 -0.90625 4.0625 -1.0625 C 4.320312 -1.21875 4.554688 -1.4375 4.765625 -1.71875 L 4.765625 -4.625 C 4.578125 -4.882812 4.367188 -5.0625 4.140625 -5.15625 C 3.910156 -5.257812 3.660156 -5.3125 3.390625 -5.3125 C 2.835938 -5.3125 2.410156 -5.113281 2.109375 -4.71875 C 1.816406 -4.332031 1.671875 -3.769531 1.671875 -3.03125 C 1.671875 -2.632812 1.703125 -2.296875 1.765625 -2.015625 C 1.835938 -1.742188 1.9375 -1.519531 2.0625 -1.34375 C 2.195312 -1.164062 2.351562 -1.035156 2.53125 -0.953125 C 2.71875 -0.867188 2.929688 -0.828125 3.171875 -0.828125 Z M 3.171875 -0.828125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-4">
+<symbol overflow="visible" id="glyph-2984660-4">
 <path style="stroke:none;" d="M 2.96875 -6.1875 C 3.226562 -6.1875 3.46875 -6.15625 3.6875 -6.09375 C 3.914062 -6.039062 4.128906 -5.960938 4.328125 -5.859375 L 6 -5.859375 L 6 -5.4375 C 6 -5.289062 5.910156 -5.203125 5.734375 -5.171875 L 5.078125 -5.0625 C 5.203125 -4.8125 5.265625 -4.535156 5.265625 -4.234375 C 5.265625 -3.929688 5.207031 -3.660156 5.09375 -3.421875 C 4.976562 -3.179688 4.816406 -2.972656 4.609375 -2.796875 C 4.410156 -2.628906 4.171875 -2.5 3.890625 -2.40625 C 3.609375 -2.3125 3.300781 -2.265625 2.96875 -2.265625 C 2.6875 -2.265625 2.425781 -2.296875 2.1875 -2.359375 C 1.9375 -2.203125 1.8125 -2.035156 1.8125 -1.859375 C 1.8125 -1.710938 1.867188 -1.601562 1.984375 -1.53125 C 2.097656 -1.46875 2.25 -1.421875 2.4375 -1.390625 C 2.632812 -1.359375 2.851562 -1.335938 3.09375 -1.328125 C 3.34375 -1.316406 3.59375 -1.300781 3.84375 -1.28125 C 4.101562 -1.269531 4.351562 -1.238281 4.59375 -1.1875 C 4.84375 -1.144531 5.0625 -1.070312 5.25 -0.96875 C 5.445312 -0.875 5.601562 -0.738281 5.71875 -0.5625 C 5.832031 -0.382812 5.890625 -0.15625 5.890625 0.125 C 5.890625 0.394531 5.828125 0.648438 5.703125 0.890625 C 5.578125 1.140625 5.390625 1.359375 5.140625 1.546875 C 4.890625 1.742188 4.585938 1.898438 4.234375 2.015625 C 3.878906 2.128906 3.476562 2.1875 3.03125 2.1875 C 2.582031 2.1875 2.191406 2.140625 1.859375 2.046875 C 1.523438 1.960938 1.242188 1.84375 1.015625 1.6875 C 0.796875 1.539062 0.628906 1.367188 0.515625 1.171875 C 0.410156 0.984375 0.359375 0.785156 0.359375 0.578125 C 0.359375 0.273438 0.453125 0.0234375 0.640625 -0.171875 C 0.828125 -0.378906 1.082031 -0.546875 1.40625 -0.671875 C 1.226562 -0.742188 1.085938 -0.847656 0.984375 -0.984375 C 0.878906 -1.128906 0.828125 -1.316406 0.828125 -1.546875 C 0.828125 -1.628906 0.84375 -1.71875 0.875 -1.8125 C 0.90625 -1.90625 0.953125 -2 1.015625 -2.09375 C 1.078125 -2.1875 1.15625 -2.273438 1.25 -2.359375 C 1.351562 -2.441406 1.472656 -2.519531 1.609375 -2.59375 C 1.304688 -2.757812 1.066406 -2.976562 0.890625 -3.25 C 0.722656 -3.53125 0.640625 -3.859375 0.640625 -4.234375 C 0.640625 -4.535156 0.695312 -4.804688 0.8125 -5.046875 C 0.925781 -5.285156 1.085938 -5.488281 1.296875 -5.65625 C 1.503906 -5.832031 1.75 -5.960938 2.03125 -6.046875 C 2.3125 -6.140625 2.625 -6.1875 2.96875 -6.1875 Z M 4.84375 0.3125 C 4.84375 0.175781 4.800781 0.0664062 4.71875 -0.015625 C 4.644531 -0.109375 4.535156 -0.179688 4.390625 -0.234375 C 4.253906 -0.285156 4.09375 -0.320312 3.90625 -0.34375 C 3.71875 -0.363281 3.519531 -0.378906 3.3125 -0.390625 C 3.113281 -0.398438 2.90625 -0.410156 2.6875 -0.421875 C 2.476562 -0.441406 2.273438 -0.460938 2.078125 -0.484375 C 1.867188 -0.390625 1.691406 -0.265625 1.546875 -0.109375 C 1.410156 0.046875 1.34375 0.222656 1.34375 0.421875 C 1.34375 0.554688 1.375 0.679688 1.4375 0.796875 C 1.507812 0.910156 1.613281 1.007812 1.75 1.09375 C 1.894531 1.175781 2.070312 1.238281 2.28125 1.28125 C 2.5 1.332031 2.753906 1.359375 3.046875 1.359375 C 3.335938 1.359375 3.59375 1.332031 3.8125 1.28125 C 4.039062 1.226562 4.226562 1.15625 4.375 1.0625 C 4.53125 0.96875 4.644531 0.859375 4.71875 0.734375 C 4.800781 0.609375 4.84375 0.46875 4.84375 0.3125 Z M 2.96875 -3.015625 C 3.175781 -3.015625 3.359375 -3.039062 3.515625 -3.09375 C 3.679688 -3.15625 3.816406 -3.238281 3.921875 -3.34375 C 4.035156 -3.445312 4.117188 -3.570312 4.171875 -3.71875 C 4.222656 -3.863281 4.25 -4.023438 4.25 -4.203125 C 4.25 -4.554688 4.140625 -4.835938 3.921875 -5.046875 C 3.703125 -5.265625 3.382812 -5.375 2.96875 -5.375 C 2.539062 -5.375 2.21875 -5.265625 2 -5.046875 C 1.789062 -4.835938 1.6875 -4.554688 1.6875 -4.203125 C 1.6875 -4.023438 1.710938 -3.863281 1.765625 -3.71875 C 1.816406 -3.582031 1.894531 -3.457031 2 -3.34375 C 2.113281 -3.238281 2.25 -3.15625 2.40625 -3.09375 C 2.570312 -3.039062 2.757812 -3.015625 2.96875 -3.015625 Z M 2.96875 -3.015625 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-5">
+<symbol overflow="visible" id="glyph-2984660-5">
 <path style="stroke:none;" d="M 0.828125 0 L 0.828125 -8.84375 L 1.96875 -8.84375 L 1.96875 -5.234375 C 2.21875 -5.523438 2.503906 -5.753906 2.828125 -5.921875 C 3.148438 -6.097656 3.519531 -6.1875 3.9375 -6.1875 C 4.289062 -6.1875 4.609375 -6.113281 4.890625 -5.96875 C 5.179688 -5.832031 5.425781 -5.632812 5.625 -5.375 C 5.820312 -5.125 5.972656 -4.8125 6.078125 -4.4375 C 6.179688 -4.070312 6.234375 -3.660156 6.234375 -3.203125 C 6.234375 -2.710938 6.171875 -2.265625 6.046875 -1.859375 C 5.929688 -1.453125 5.757812 -1.101562 5.53125 -0.8125 C 5.3125 -0.53125 5.039062 -0.3125 4.71875 -0.15625 C 4.394531 0 4.03125 0.078125 3.625 0.078125 C 3.226562 0.078125 2.894531 0.00390625 2.625 -0.140625 C 2.351562 -0.285156 2.113281 -0.492188 1.90625 -0.765625 L 1.859375 -0.234375 C 1.816406 -0.078125 1.71875 0 1.5625 0 Z M 3.546875 -5.28125 C 3.210938 -5.28125 2.921875 -5.203125 2.671875 -5.046875 C 2.421875 -4.890625 2.1875 -4.671875 1.96875 -4.390625 L 1.96875 -1.484375 C 2.15625 -1.234375 2.363281 -1.054688 2.59375 -0.953125 C 2.820312 -0.847656 3.070312 -0.796875 3.34375 -0.796875 C 3.894531 -0.796875 4.316406 -0.988281 4.609375 -1.375 C 4.910156 -1.769531 5.0625 -2.363281 5.0625 -3.15625 C 5.0625 -3.882812 4.929688 -4.421875 4.671875 -4.765625 C 4.410156 -5.109375 4.035156 -5.28125 3.546875 -5.28125 Z M 3.546875 -5.28125 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-6">
+<symbol overflow="visible" id="glyph-2984660-6">
 <path style="stroke:none;" d="M 3.34375 -6.1875 C 3.707031 -6.1875 4.046875 -6.125 4.359375 -6 C 4.671875 -5.875 4.941406 -5.695312 5.171875 -5.46875 C 5.398438 -5.238281 5.578125 -4.953125 5.703125 -4.609375 C 5.828125 -4.273438 5.890625 -3.890625 5.890625 -3.453125 C 5.890625 -3.273438 5.867188 -3.15625 5.828125 -3.09375 C 5.796875 -3.039062 5.726562 -3.015625 5.625 -3.015625 L 1.609375 -3.015625 C 1.617188 -2.640625 1.671875 -2.3125 1.765625 -2.03125 C 1.859375 -1.757812 1.984375 -1.53125 2.140625 -1.34375 C 2.304688 -1.164062 2.503906 -1.03125 2.734375 -0.9375 C 2.960938 -0.851562 3.21875 -0.8125 3.5 -0.8125 C 3.757812 -0.8125 3.984375 -0.835938 4.171875 -0.890625 C 4.367188 -0.953125 4.535156 -1.019531 4.671875 -1.09375 C 4.804688 -1.164062 4.921875 -1.234375 5.015625 -1.296875 C 5.117188 -1.359375 5.207031 -1.390625 5.28125 -1.390625 C 5.375 -1.390625 5.441406 -1.351562 5.484375 -1.28125 L 5.8125 -0.859375 C 5.664062 -0.691406 5.5 -0.550781 5.3125 -0.4375 C 5.132812 -0.320312 4.9375 -0.222656 4.71875 -0.140625 C 4.507812 -0.0664062 4.289062 -0.015625 4.0625 0.015625 C 3.84375 0.0546875 3.625 0.078125 3.40625 0.078125 C 2.976562 0.078125 2.585938 0.0078125 2.234375 -0.125 C 1.878906 -0.269531 1.570312 -0.476562 1.3125 -0.75 C 1.050781 -1.019531 0.847656 -1.359375 0.703125 -1.765625 C 0.554688 -2.171875 0.484375 -2.640625 0.484375 -3.171875 C 0.484375 -3.597656 0.546875 -3.992188 0.671875 -4.359375 C 0.804688 -4.722656 0.992188 -5.039062 1.234375 -5.3125 C 1.484375 -5.582031 1.785156 -5.796875 2.140625 -5.953125 C 2.492188 -6.109375 2.894531 -6.1875 3.34375 -6.1875 Z M 3.359375 -5.359375 C 2.859375 -5.359375 2.460938 -5.210938 2.171875 -4.921875 C 1.890625 -4.628906 1.710938 -4.226562 1.640625 -3.71875 L 4.875 -3.71875 C 4.875 -3.957031 4.835938 -4.175781 4.765625 -4.375 C 4.703125 -4.570312 4.601562 -4.742188 4.46875 -4.890625 C 4.34375 -5.035156 4.1875 -5.148438 4 -5.234375 C 3.8125 -5.316406 3.597656 -5.359375 3.359375 -5.359375 Z M 3.359375 -5.359375 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-7">
+<symbol overflow="visible" id="glyph-2984660-7">
 <path style="stroke:none;" d="M 1.234375 0 L 1.234375 -5.140625 L 0.578125 -5.21875 C 0.484375 -5.238281 0.410156 -5.269531 0.359375 -5.3125 C 0.304688 -5.363281 0.28125 -5.429688 0.28125 -5.515625 L 0.28125 -5.984375 L 1.234375 -5.984375 L 1.234375 -6.546875 C 1.234375 -6.898438 1.28125 -7.210938 1.375 -7.484375 C 1.476562 -7.753906 1.617188 -7.984375 1.796875 -8.171875 C 1.984375 -8.359375 2.207031 -8.5 2.46875 -8.59375 C 2.738281 -8.6875 3.035156 -8.734375 3.359375 -8.734375 C 3.484375 -8.734375 3.609375 -8.722656 3.734375 -8.703125 C 3.867188 -8.691406 3.992188 -8.664062 4.109375 -8.625 L 4.09375 -8.046875 C 4.082031 -8.003906 4.0625 -7.96875 4.03125 -7.9375 C 4.007812 -7.914062 3.972656 -7.894531 3.921875 -7.875 C 3.878906 -7.863281 3.820312 -7.859375 3.75 -7.859375 C 3.6875 -7.859375 3.617188 -7.859375 3.546875 -7.859375 C 3.359375 -7.859375 3.1875 -7.835938 3.03125 -7.796875 C 2.882812 -7.753906 2.757812 -7.679688 2.65625 -7.578125 C 2.550781 -7.472656 2.46875 -7.332031 2.40625 -7.15625 C 2.351562 -6.976562 2.328125 -6.765625 2.328125 -6.515625 L 2.328125 -5.984375 L 4.0625 -5.984375 L 4.0625 -5.15625 L 2.375 -5.15625 L 2.375 0 Z M 1.234375 0 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-8">
+<symbol overflow="visible" id="glyph-2984660-8">
 <path style="stroke:none;" d="M 5.09375 -4.96875 C 5.0625 -4.925781 5.023438 -4.890625 4.984375 -4.859375 C 4.953125 -4.835938 4.90625 -4.828125 4.84375 -4.828125 C 4.78125 -4.828125 4.710938 -4.851562 4.640625 -4.90625 C 4.566406 -4.957031 4.476562 -5.007812 4.375 -5.0625 C 4.269531 -5.125 4.140625 -5.175781 3.984375 -5.21875 C 3.835938 -5.269531 3.65625 -5.296875 3.4375 -5.296875 C 3.144531 -5.296875 2.882812 -5.242188 2.65625 -5.140625 C 2.4375 -5.035156 2.25 -4.882812 2.09375 -4.6875 C 1.945312 -4.5 1.835938 -4.265625 1.765625 -3.984375 C 1.691406 -3.710938 1.65625 -3.398438 1.65625 -3.046875 C 1.65625 -2.691406 1.691406 -2.375 1.765625 -2.09375 C 1.847656 -1.8125 1.960938 -1.570312 2.109375 -1.375 C 2.265625 -1.1875 2.445312 -1.039062 2.65625 -0.9375 C 2.875 -0.84375 3.117188 -0.796875 3.390625 -0.796875 C 3.640625 -0.796875 3.847656 -0.828125 4.015625 -0.890625 C 4.179688 -0.953125 4.316406 -1.019531 4.421875 -1.09375 C 4.523438 -1.164062 4.613281 -1.234375 4.6875 -1.296875 C 4.769531 -1.359375 4.847656 -1.390625 4.921875 -1.390625 C 5.015625 -1.390625 5.085938 -1.351562 5.140625 -1.28125 L 5.453125 -0.859375 C 5.316406 -0.691406 5.160156 -0.546875 4.984375 -0.421875 C 4.816406 -0.304688 4.632812 -0.210938 4.4375 -0.140625 C 4.238281 -0.0664062 4.035156 -0.015625 3.828125 0.015625 C 3.617188 0.0546875 3.40625 0.078125 3.1875 0.078125 C 2.800781 0.078125 2.441406 0.0078125 2.109375 -0.125 C 1.785156 -0.269531 1.503906 -0.472656 1.265625 -0.734375 C 1.023438 -1.003906 0.832031 -1.332031 0.6875 -1.71875 C 0.550781 -2.113281 0.484375 -2.554688 0.484375 -3.046875 C 0.484375 -3.503906 0.546875 -3.921875 0.671875 -4.296875 C 0.796875 -4.679688 0.976562 -5.015625 1.21875 -5.296875 C 1.46875 -5.578125 1.769531 -5.796875 2.125 -5.953125 C 2.488281 -6.109375 2.898438 -6.1875 3.359375 -6.1875 C 3.796875 -6.1875 4.179688 -6.113281 4.515625 -5.96875 C 4.847656 -5.832031 5.140625 -5.640625 5.390625 -5.390625 Z M 5.09375 -4.96875 "/>
 </symbol>
-<symbol overflow="visible" id="glyph-2869800-9">
+<symbol overflow="visible" id="glyph-2984660-9">
 <path style="stroke:none;" d="M 0.828125 0 L 0.828125 -8.84375 L 1.96875 -8.84375 L 1.96875 -5.3125 C 2.226562 -5.570312 2.507812 -5.78125 2.8125 -5.9375 C 3.125 -6.101562 3.488281 -6.1875 3.90625 -6.1875 C 4.226562 -6.1875 4.515625 -6.128906 4.765625 -6.015625 C 5.023438 -5.898438 5.238281 -5.742188 5.40625 -5.546875 C 5.582031 -5.347656 5.710938 -5.101562 5.796875 -4.8125 C 5.890625 -4.53125 5.9375 -4.21875 5.9375 -3.875 L 5.9375 0 L 4.796875 0 L 4.796875 -3.875 C 4.796875 -4.320312 4.691406 -4.664062 4.484375 -4.90625 C 4.285156 -5.15625 3.976562 -5.28125 3.5625 -5.28125 C 3.257812 -5.28125 2.972656 -5.207031 2.703125 -5.0625 C 2.441406 -4.914062 2.195312 -4.71875 1.96875 -4.46875 L 1.96875 0 Z M 0.828125 0 "/>
 </symbol>
 </g>
@@ -63,75 +63,75 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.78125 193.90625 L 232.230469 203.527344 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.308594 210.019531 C 77.308594 214.164062 73.953125 217.519531 69.808594 217.519531 C 65.667969 217.519531 62.308594 214.164062 62.308594 210.019531 C 62.308594 205.878906 65.667969 202.519531 69.808594 202.519531 C 73.953125 202.519531 77.308594 205.878906 77.308594 210.019531 Z M 77.308594 210.019531 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-1" x="68.357152" y="214.409629"/>
+  <use xlink:href="#glyph-2984660-1" x="68.357152" y="214.409629"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 64.257812 187.414062 C 64.257812 191.554688 60.898438 194.914062 56.757812 194.914062 C 52.613281 194.914062 49.257812 191.554688 49.257812 187.414062 C 49.257812 183.269531 52.613281 179.914062 56.757812 179.914062 C 60.898438 179.914062 64.257812 183.269531 64.257812 187.414062 Z M 64.257812 187.414062 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-2" x="53.762533" y="190.511829"/>
+  <use xlink:href="#glyph-2984660-2" x="53.762533" y="190.511829"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 162.195312 C 57.5 166.339844 54.140625 169.695312 50 169.695312 C 45.859375 169.695312 42.5 166.339844 42.5 162.195312 C 42.5 158.054688 45.859375 154.695312 50 154.695312 C 54.140625 154.695312 57.5 158.054688 57.5 162.195312 Z M 57.5 162.195312 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-3" x="46.631" y="166.622105"/>
+  <use xlink:href="#glyph-2984660-3" x="46.631" y="166.622105"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 136.09375 C 57.5 140.234375 54.140625 143.59375 50 143.59375 C 45.859375 143.59375 42.5 140.234375 42.5 136.09375 C 42.5 131.949219 45.859375 128.59375 50 128.59375 C 54.140625 128.59375 57.5 131.949219 57.5 136.09375 Z M 57.5 136.09375 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-4" x="46.871" y="139.187867"/>
+  <use xlink:href="#glyph-2984660-4" x="46.871" y="139.187867"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 64.257812 110.875 C 64.257812 115.019531 60.898438 118.375 56.757812 118.375 C 52.613281 118.375 49.257812 115.019531 49.257812 110.875 C 49.257812 106.734375 52.613281 103.375 56.757812 103.375 C 60.898438 103.375 64.257812 106.734375 64.257812 110.875 Z M 64.257812 110.875 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-5" x="53.387533" y="115.301143"/>
+  <use xlink:href="#glyph-2984660-5" x="53.387533" y="115.301143"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 77.308594 88.269531 C 77.308594 92.410156 73.953125 95.769531 69.808594 95.769531 C 65.667969 95.769531 62.308594 92.410156 62.308594 88.269531 C 62.308594 84.125 65.667969 80.769531 69.808594 80.769531 C 73.953125 80.769531 77.308594 84.125 77.308594 88.269531 Z M 77.308594 88.269531 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-6" x="66.635152" y="91.361343"/>
+  <use xlink:href="#glyph-2984660-6" x="66.635152" y="91.361343"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 95.769531 69.808594 C 95.769531 73.953125 92.410156 77.308594 88.269531 77.308594 C 84.125 77.308594 80.769531 73.953125 80.769531 69.808594 C 80.769531 65.667969 84.125 62.308594 88.269531 62.308594 C 92.410156 62.308594 95.769531 65.667969 95.769531 69.808594 Z M 95.769531 69.808594 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-2" x="85.274343" y="72.908152"/>
+  <use xlink:href="#glyph-2984660-2" x="85.274343" y="72.908152"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 118.375 56.757812 C 118.375 60.898438 115.019531 64.257812 110.875 64.257812 C 106.734375 64.257812 103.375 60.898438 103.375 56.757812 C 103.375 52.613281 106.734375 49.257812 110.875 49.257812 C 115.019531 49.257812 118.375 52.613281 118.375 56.757812 Z M 118.375 56.757812 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-3" x="107.507143" y="61.181533"/>
+  <use xlink:href="#glyph-2984660-3" x="107.507143" y="61.181533"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 143.59375 50 C 143.59375 54.140625 140.234375 57.5 136.09375 57.5 C 131.949219 57.5 128.59375 54.140625 128.59375 50 C 128.59375 45.859375 131.949219 42.5 136.09375 42.5 C 140.234375 42.5 143.59375 45.859375 143.59375 50 Z M 143.59375 50 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-7" x="133.982867" y="54.371"/>
+  <use xlink:href="#glyph-2984660-7" x="133.982867" y="54.371"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 169.695312 50 C 169.695312 54.140625 166.339844 57.5 162.195312 57.5 C 158.054688 57.5 154.695312 54.140625 154.695312 50 C 154.695312 45.859375 158.054688 42.5 162.195312 42.5 C 166.339844 42.5 169.695312 45.859375 169.695312 50 Z M 169.695312 50 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-8" x="159.329105" y="53.093"/>
+  <use xlink:href="#glyph-2984660-8" x="159.329105" y="53.093"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 194.914062 56.757812 C 194.914062 60.898438 191.554688 64.257812 187.414062 64.257812 C 183.269531 64.257812 179.914062 60.898438 179.914062 56.757812 C 179.914062 52.613281 183.269531 49.257812 187.414062 49.257812 C 191.554688 49.257812 194.914062 52.613281 194.914062 56.757812 Z M 194.914062 56.757812 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-8" x="184.544829" y="59.849533"/>
+  <use xlink:href="#glyph-2984660-8" x="184.544829" y="59.849533"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 217.519531 69.808594 C 217.519531 73.953125 214.164062 77.308594 210.019531 77.308594 C 205.878906 77.308594 202.519531 73.953125 202.519531 69.808594 C 202.519531 65.667969 205.878906 62.308594 210.019531 62.308594 C 214.164062 62.308594 217.519531 65.667969 217.519531 69.808594 Z M 217.519531 69.808594 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-9" x="206.666629" y="74.234152"/>
+  <use xlink:href="#glyph-2984660-9" x="206.666629" y="74.234152"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 235.980469 88.269531 C 235.980469 92.410156 232.621094 95.769531 228.480469 95.769531 C 224.335938 95.769531 220.980469 92.410156 220.980469 88.269531 C 220.980469 84.125 224.335938 80.769531 228.480469 80.769531 C 232.621094 80.769531 235.980469 84.125 235.980469 88.269531 Z M 235.980469 88.269531 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-4" x="225.35082" y="91.364343"/>
+  <use xlink:href="#glyph-2984660-4" x="225.35082" y="91.364343"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 249.03125 110.875 C 249.03125 115.019531 245.675781 118.375 241.53125 118.375 C 237.390625 118.375 234.03125 115.019531 234.03125 110.875 C 234.03125 106.734375 237.390625 103.375 241.53125 103.375 C 245.675781 103.375 249.03125 106.734375 249.03125 110.875 Z M 249.03125 110.875 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-9" x="238.178439" y="115.301143"/>
+  <use xlink:href="#glyph-2984660-9" x="238.178439" y="115.301143"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 255.789062 136.09375 C 255.789062 140.234375 252.429688 143.59375 248.289062 143.59375 C 244.148438 143.59375 240.789062 140.234375 240.789062 136.09375 C 240.789062 131.949219 244.148438 128.59375 248.289062 128.59375 C 252.429688 128.59375 255.789062 131.949219 255.789062 136.09375 Z M 255.789062 136.09375 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-6" x="245.114972" y="139.184867"/>
+  <use xlink:href="#glyph-2984660-6" x="245.114972" y="139.184867"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 255.789062 162.195312 C 255.789062 166.339844 252.429688 169.695312 248.289062 169.695312 C 244.148438 169.695312 240.789062 166.339844 240.789062 162.195312 C 240.789062 158.054688 244.148438 154.695312 248.289062 154.695312 C 252.429688 154.695312 255.789062 158.054688 255.789062 162.195312 Z M 255.789062 162.195312 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-5" x="244.919972" y="166.622105"/>
+  <use xlink:href="#glyph-2984660-5" x="244.919972" y="166.622105"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 249.03125 187.414062 C 249.03125 191.554688 245.675781 194.914062 241.53125 194.914062 C 237.390625 194.914062 234.03125 191.554688 234.03125 187.414062 C 234.03125 183.269531 237.390625 179.914062 241.53125 179.914062 C 245.675781 179.914062 249.03125 183.269531 249.03125 187.414062 Z M 249.03125 187.414062 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-1" x="240.080439" y="191.801829"/>
+  <use xlink:href="#glyph-2984660-1" x="240.080439" y="191.801829"/>
 </g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 235.980469 210.019531 C 235.980469 214.164062 232.621094 217.519531 228.480469 217.519531 C 224.335938 217.519531 220.980469 214.164062 220.980469 210.019531 C 220.980469 205.878906 224.335938 202.519531 228.480469 202.519531 C 232.621094 202.519531 235.980469 205.878906 235.980469 210.019531 Z M 235.980469 210.019531 "/>
 <g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-2869800-7" x="226.37082" y="214.391629"/>
+  <use xlink:href="#glyph-2984660-7" x="226.37082" y="214.391629"/>
 </g>
 </g>
 </svg>
diff --git a/dev/generated/PaintShop/index.html b/dev/generated/PaintShop/index.html
index 7b089c14..928db5a5 100644
--- a/dev/generated/PaintShop/index.html
+++ b/dev/generated/PaintShop/index.html
@@ -30,7 +30,7 @@
 end
 
 show_graph(graph; locs=locations, texts=string.(sequence), format=:svg, edge_colors=
-    [sequence[e.src] == sequence[e.dst] ? &quot;blue&quot; : &quot;black&quot; for e in edges(graph)])</code></pre><img src="fe3874dd.svg" alt="Example block output"/><p>Vertices connected by blue edges must have different colors, and the goal becomes a min-cut problem defined on black edges.</p><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>Let us construct the problem instance as bellow.</p><pre><code class="language-julia hljs">problem = PaintShop(sequence);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.PaintShop"><code>PaintShop</code></a> can be used for constructing the tensor network with optimized contraction order for solving a binary paint shop problem. To obtain its tensor network representation, we associating car <span>$c_i$</span> (the <span>$i$</span>-th character in our example) with a degree of freedom <span>$s_{c_i} \in \{0, 1\}$</span>, where we use <span>$0$</span> to denote the first appearance of a car is colored red and <span>$1$</span> to denote the first appearance of a car is colored blue. For each black edges <span>$(i, i+1)$</span>, we define an edge tensor labeled by <span>$(s_{c_i}, s_{c_{i+1}})$</span> as follows: If both cars on this edge are their first or second appearance</p><p class="math-container">\[B^{\rm parallel} = \left(\begin{matrix}
+    [sequence[e.src] == sequence[e.dst] ? &quot;blue&quot; : &quot;black&quot; for e in edges(graph)])</code></pre><img src="e63a2fee.svg" alt="Example block output"/><p>Vertices connected by blue edges must have different colors, and the goal becomes a min-cut problem defined on black edges.</p><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>Let us construct the problem instance as bellow.</p><pre><code class="language-julia hljs">problem = PaintShop(sequence);</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>Type <a href="../../ref/#GenericTensorNetworks.PaintShop"><code>PaintShop</code></a> can be used for constructing the tensor network with optimized contraction order for solving a binary paint shop problem. To obtain its tensor network representation, we associating car <span>$c_i$</span> (the <span>$i$</span>-th character in our example) with a degree of freedom <span>$s_{c_i} \in \{0, 1\}$</span>, where we use <span>$0$</span> to denote the first appearance of a car is colored red and <span>$1$</span> to denote the first appearance of a car is colored blue. For each black edges <span>$(i, i+1)$</span>, we define an edge tensor labeled by <span>$(s_{c_i}, s_{c_{i+1}})$</span> as follows: If both cars on this edge are their first or second appearance</p><p class="math-container">\[B^{\rm parallel} = \left(\begin{matrix}
 x &amp; 1 \\
 1 &amp; x \\
 \end{matrix}\right),\]</p><p>otherwise,</p><p class="math-container">\[B^{\rm anti-parallel} = \left(\begin{matrix}
@@ -40,4 +40,4 @@
 
 show_graph(graph; locs=locations, format=:svg, texts=string.(sequence),
     edge_colors=[sequence[e.src] == sequence[e.dst] ? &quot;blue&quot; : &quot;black&quot; for e in edges(graph)],
-    vertex_colors=[isone(c) ? &quot;red&quot; : &quot;black&quot; for c in painting1], vertex_text_color=&quot;white&quot;)</code></pre><img src="3be843ef.svg" alt="Example block output"/><p>Since we have different choices of initial color, the number of best solution is 2.</p><p>The following function will check the solution and return you the number of color switches</p><pre><code class="language-julia hljs">num_paint_shop_color_switch(sequence, painting1)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Matching/">« Vertex matching problem</a><a class="docs-footer-nextpage" href="../Coloring/">Coloring problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+    vertex_colors=[isone(c) ? &quot;red&quot; : &quot;black&quot; for c in painting1], vertex_text_color=&quot;white&quot;)</code></pre><img src="ccf06b52.svg" alt="Example block output"/><p>Since we have different choices of initial color, the number of best solution is 2.</p><p>The following function will check the solution and return you the number of color switches</p><pre><code class="language-julia hljs">num_paint_shop_color_switch(sequence, painting1)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Matching/">« Vertex matching problem</a><a class="docs-footer-nextpage" href="../Coloring/">Coloring problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/Satisfiability/index.html b/dev/generated/Satisfiability/index.html
index f719905a..b426f209 100644
--- a/dev/generated/Satisfiability/index.html
+++ b/dev/generated/Satisfiability/index.html
@@ -14,4 +14,4 @@
 x &amp; x \\
 1 &amp; x
 \end{matrix}\right)
-\end{matrix}\right).\]</p><p>There is only one entry <span>$(s_x, s_y, s_z) = (1, 0, 1)$</span> that makes this clause unsatisfied.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h4 id="Satisfiability-and-its-counting"><a class="docs-heading-anchor" href="#Satisfiability-and-its-counting">Satisfiability and its counting</a><a id="Satisfiability-and-its-counting-1"></a><a class="docs-heading-anchor-permalink" href="#Satisfiability-and-its-counting" title="Permalink"></a></h4><p>The size of a satisfiability problem is defined by the number of satisfiable clauses.</p><pre><code class="language-julia hljs">num_satisfiable = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4.0ₜ</code></pre><p>The <a href="../../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a> of a satisfiability problem counts the number of solutions that <code>k</code> clauses satisfied.</p><pre><code class="language-julia hljs">num_satisfiable_count = solve(problem, GraphPolynomial())[]</code></pre>12&#8729;x<sup>2</sup> &#43; 56&#8729;x<sup>3</sup> &#43; 60&#8729;x<sup>4</sup><h4 id="Find-one-of-the-solutions"><a class="docs-heading-anchor" href="#Find-one-of-the-solutions">Find one of the solutions</a><a id="Find-one-of-the-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Find-one-of-the-solutions" title="Permalink"></a></h4><pre><code class="language-julia hljs">single_config = solve(problem, SingleConfigMax())[].c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">0111111</code></pre><p>One will see a bit vector printed. One can create an assignment and check the validity with the following statement:</p><pre><code class="language-julia hljs">satisfiable(cnf, Dict(zip(labels(problem), single_config)))</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../DominatingSet/">« Dominating set problem</a><a class="docs-footer-nextpage" href="../SetCovering/">Set covering problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+\end{matrix}\right).\]</p><p>There is only one entry <span>$(s_x, s_y, s_z) = (1, 0, 1)$</span> that makes this clause unsatisfied.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h4 id="Satisfiability-and-its-counting"><a class="docs-heading-anchor" href="#Satisfiability-and-its-counting">Satisfiability and its counting</a><a id="Satisfiability-and-its-counting-1"></a><a class="docs-heading-anchor-permalink" href="#Satisfiability-and-its-counting" title="Permalink"></a></h4><p>The size of a satisfiability problem is defined by the number of satisfiable clauses.</p><pre><code class="language-julia hljs">num_satisfiable = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4.0ₜ</code></pre><p>The <a href="../../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a> of a satisfiability problem counts the number of solutions that <code>k</code> clauses satisfied.</p><pre><code class="language-julia hljs">num_satisfiable_count = solve(problem, GraphPolynomial())[]</code></pre>12&#8729;x<sup>2</sup> &#43; 56&#8729;x<sup>3</sup> &#43; 60&#8729;x<sup>4</sup><h4 id="Find-one-of-the-solutions"><a class="docs-heading-anchor" href="#Find-one-of-the-solutions">Find one of the solutions</a><a id="Find-one-of-the-solutions-1"></a><a class="docs-heading-anchor-permalink" href="#Find-one-of-the-solutions" title="Permalink"></a></h4><pre><code class="language-julia hljs">single_config = solve(problem, SingleConfigMax())[].c.data</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">1011011</code></pre><p>One will see a bit vector printed. One can create an assignment and check the validity with the following statement:</p><pre><code class="language-julia hljs">satisfiable(cnf, Dict(zip(labels(problem), single_config)))</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../DominatingSet/">« Dominating set problem</a><a class="docs-footer-nextpage" href="../SetCovering/">Set covering problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/SetCovering/index.html b/dev/generated/SetCovering/index.html
index 73d45af5..f1d1557d 100644
--- a/dev/generated/SetCovering/index.html
+++ b/dev/generated/SetCovering/index.html
@@ -17,4 +17,4 @@
     1 &amp; \text{otherwise}.
 \end{cases}\]</p><p>This tensor means if none of the sets containing element <span>$a$</span> are included, then this configuration is forbidden, One can check the contraction time space complexity of a <a href="../../ref/#GenericTensorNetworks.SetCovering"><code>SetCovering</code></a> instance by typing:</p><pre><code class="language-julia hljs">contraction_complexity(problem)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">Time complexity: 2^8.820178962415188
 Space complexity: 2^4.0
-Read-write complexity: 2^10.109830654278793</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="The-&quot;graph&quot;-polynomial"><a class="docs-heading-anchor" href="#The-&quot;graph&quot;-polynomial">The &quot;graph&quot; polynomial</a><a id="The-&quot;graph&quot;-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#The-&quot;graph&quot;-polynomial" title="Permalink"></a></h5><p>The graph polynomial for the set covering problem is defined as</p><p class="math-container">\[P(S, x) = \sum_{k=0}^{|S|} c_k x^k,\]</p><p>where <span>$c_k$</span> is the number of configurations having <span>$k$</span> sets.</p><pre><code class="language-julia hljs">covering_polynomial = solve(problem, GraphPolynomial())[]</code></pre>2&#8729;x<sup>4</sup> &#43; 11&#8729;x<sup>5</sup> &#43; 13&#8729;x<sup>6</sup> &#43; 6&#8729;x<sup>7</sup> &#43; x<sup>8</sup><p>The minimum number of sets that covering the set of elements can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> property:</p><pre><code class="language-julia hljs">min_cover_size = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a>:</p><pre><code class="language-julia hljs">counting_minimum_setcovering = solve(problem, CountingMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, 2.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Finding-minimum-set-covering"><a class="docs-heading-anchor" href="#Finding-minimum-set-covering">Finding minimum set covering</a><a id="Finding-minimum-set-covering-1"></a><a class="docs-heading-anchor-permalink" href="#Finding-minimum-set-covering" title="Permalink"></a></h5><p>One can enumerate all minimum set covering with the <a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> property in the program.</p><pre><code class="language-julia hljs">min_configs = solve(problem, ConfigsMin())[].c</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{10101100, 01111000}</code></pre><p>Hence the two optimal solutions are <span>$\{z_1, z_3, z_5, z_6\}$</span> and <span>$\{z_2, z_3, z_4, z_5\}$</span>. The correctness of this result can be checked with the <a href="../../ref/#GenericTensorNetworks.is_set_covering"><code>is_set_covering</code></a> function.</p><pre><code class="language-julia hljs">all(c-&gt;is_set_covering(sets, c), min_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><p>Similarly, if one is only interested in computing one of the minimum set coverings, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Satisfiability/">« Satisfiability problem</a><a class="docs-footer-nextpage" href="../SetPacking/">Set packing problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+Read-write complexity: 2^10.109830654278793</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="The-&quot;graph&quot;-polynomial"><a class="docs-heading-anchor" href="#The-&quot;graph&quot;-polynomial">The &quot;graph&quot; polynomial</a><a id="The-&quot;graph&quot;-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#The-&quot;graph&quot;-polynomial" title="Permalink"></a></h5><p>The graph polynomial for the set covering problem is defined as</p><p class="math-container">\[P(S, x) = \sum_{k=0}^{|S|} c_k x^k,\]</p><p>where <span>$c_k$</span> is the number of configurations having <span>$k$</span> sets.</p><pre><code class="language-julia hljs">covering_polynomial = solve(problem, GraphPolynomial())[]</code></pre>2&#8729;x<sup>4</sup> &#43; 11&#8729;x<sup>5</sup> &#43; 13&#8729;x<sup>6</sup> &#43; 6&#8729;x<sup>7</sup> &#43; x<sup>8</sup><p>The minimum number of sets that covering the set of elements can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> property:</p><pre><code class="language-julia hljs">min_cover_size = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">4.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a>:</p><pre><code class="language-julia hljs">counting_minimum_setcovering = solve(problem, CountingMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(4.0, 2.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Finding-minimum-set-covering"><a class="docs-heading-anchor" href="#Finding-minimum-set-covering">Finding minimum set covering</a><a id="Finding-minimum-set-covering-1"></a><a class="docs-heading-anchor-permalink" href="#Finding-minimum-set-covering" title="Permalink"></a></h5><p>One can enumerate all minimum set covering with the <a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> property in the program.</p><pre><code class="language-julia hljs">min_configs = solve(problem, ConfigsMin())[].c</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{01111000, 10101100}</code></pre><p>Hence the two optimal solutions are <span>$\{z_1, z_3, z_5, z_6\}$</span> and <span>$\{z_2, z_3, z_4, z_5\}$</span>. The correctness of this result can be checked with the <a href="../../ref/#GenericTensorNetworks.is_set_covering"><code>is_set_covering</code></a> function.</p><pre><code class="language-julia hljs">all(c-&gt;is_set_covering(sets, c), min_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><p>Similarly, if one is only interested in computing one of the minimum set coverings, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../Satisfiability/">« Satisfiability problem</a><a class="docs-footer-nextpage" href="../SetPacking/">Set packing problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/SetPacking/index.html b/dev/generated/SetPacking/index.html
index 83cbe8cb..88f3b819 100644
--- a/dev/generated/SetPacking/index.html
+++ b/dev/generated/SetPacking/index.html
@@ -15,6 +15,6 @@
     \end{matrix}\right)\]</p><p>where <span>$x_s$</span> is a variable associated with <span>$s$</span>. For each unique element <span>$a$</span>, we defined the constraint over all sets containing it <span>$N(a) = \{s | s \in S \land a\in s\}$</span>:</p><p class="math-container">\[B_{s_1,s_2,\ldots,s_{|N(a)|}} = \begin{cases}
     0 &amp; s_1+s_2+\ldots+s_{|N(a)|} &gt; 1,\\
     1 &amp; \text{otherwise}.
-\end{cases}\]</p><p>This tensor means if in a configuration, two sets contain the element <span>$a$</span>, then this configuration is forbidden, One can check the contraction time space complexity of a <a href="../../ref/#GenericTensorNetworks.SetPacking"><code>SetPacking</code></a> instance by typing:</p><pre><code class="language-julia hljs">contraction_complexity(problem)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">Time complexity: 2^8.169925001442312
+\end{cases}\]</p><p>This tensor means if in a configuration, two sets contain the element <span>$a$</span>, then this configuration is forbidden, One can check the contraction time space complexity of a <a href="../../ref/#GenericTensorNetworks.SetPacking"><code>SetPacking</code></a> instance by typing:</p><pre><code class="language-julia hljs">contraction_complexity(problem)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">Time complexity: 2^8.247927513443585
 Space complexity: 2^4.0
-Read-write complexity: 2^9.047123912114026</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="The-&quot;graph&quot;-polynomial"><a class="docs-heading-anchor" href="#The-&quot;graph&quot;-polynomial">The &quot;graph&quot; polynomial</a><a id="The-&quot;graph&quot;-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#The-&quot;graph&quot;-polynomial" title="Permalink"></a></h5><p>The graph polynomial for the set packing problem is defined as</p><p class="math-container">\[P(S, x) = \sum_{k=0}^{\alpha(S)} c_k x^k,\]</p><p>where <span>$c_k$</span> is the number of configurations having <span>$k$</span> sets, and <span>$\alpha(S)$</span> is the maximum size of the packing.</p><pre><code class="language-julia hljs">packing_polynomial = solve(problem, GraphPolynomial())[]</code></pre>1 &#43; 8&#8729;x &#43; 8&#8729;x<sup>2</sup> &#43; x<sup>3</sup><p>The maximum number of sets that packing the set of elements can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a> property:</p><pre><code class="language-julia hljs">max_packing_size = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">3.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a>:</p><pre><code class="language-julia hljs">counting_maximum_set_packing = solve(problem, CountingMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(3.0, 1.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Finding-maximum-set-packing"><a class="docs-heading-anchor" href="#Finding-maximum-set-packing">Finding maximum set packing</a><a id="Finding-maximum-set-packing-1"></a><a class="docs-heading-anchor-permalink" href="#Finding-maximum-set-packing" title="Permalink"></a></h5><p>One can enumerate all maximum set packing with the <a href="../../ref/#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a> property in the program.</p><pre><code class="language-julia hljs">max_configs = solve(problem, ConfigsMax())[].c</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{10100100}</code></pre><p>Hence the only optimal solution is <span>$\{z_1, z_3, z_6\}$</span> that has size 3. The correctness of this result can be checked with the <a href="../../ref/#GenericTensorNetworks.is_set_packing"><code>is_set_packing</code></a> function.</p><pre><code class="language-julia hljs">all(c-&gt;is_set_packing(sets, c), max_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><p>Similarly, if one is only interested in computing one of the maximum set packing, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SetCovering/">« Set covering problem</a><a class="docs-footer-nextpage" href="../HyperSpinGlass/">Hyper Spin glass problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+Read-write complexity: 2^9.131856960608793</code></pre><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="The-&quot;graph&quot;-polynomial"><a class="docs-heading-anchor" href="#The-&quot;graph&quot;-polynomial">The &quot;graph&quot; polynomial</a><a id="The-&quot;graph&quot;-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#The-&quot;graph&quot;-polynomial" title="Permalink"></a></h5><p>The graph polynomial for the set packing problem is defined as</p><p class="math-container">\[P(S, x) = \sum_{k=0}^{\alpha(S)} c_k x^k,\]</p><p>where <span>$c_k$</span> is the number of configurations having <span>$k$</span> sets, and <span>$\alpha(S)$</span> is the maximum size of the packing.</p><pre><code class="language-julia hljs">packing_polynomial = solve(problem, GraphPolynomial())[]</code></pre>1 &#43; 8&#8729;x &#43; 8&#8729;x<sup>2</sup> &#43; x<sup>3</sup><p>The maximum number of sets that packing the set of elements can be computed with the <a href="../../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a> property:</p><pre><code class="language-julia hljs">max_packing_size = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">3.0ₜ</code></pre><p>Similarly, we have its counting <a href="../../ref/#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a>:</p><pre><code class="language-julia hljs">counting_maximum_set_packing = solve(problem, CountingMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(3.0, 1.0)ₜ</code></pre><h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="Finding-maximum-set-packing"><a class="docs-heading-anchor" href="#Finding-maximum-set-packing">Finding maximum set packing</a><a id="Finding-maximum-set-packing-1"></a><a class="docs-heading-anchor-permalink" href="#Finding-maximum-set-packing" title="Permalink"></a></h5><p>One can enumerate all maximum set packing with the <a href="../../ref/#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a> property in the program.</p><pre><code class="language-julia hljs">max_configs = solve(problem, ConfigsMax())[].c</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{10100100}</code></pre><p>Hence the only optimal solution is <span>$\{z_1, z_3, z_6\}$</span> that has size 3. The correctness of this result can be checked with the <a href="../../ref/#GenericTensorNetworks.is_set_packing"><code>is_set_packing</code></a> function.</p><pre><code class="language-julia hljs">all(c-&gt;is_set_packing(sets, c), max_configs)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">true</code></pre><p>Similarly, if one is only interested in computing one of the maximum set packing, one can use the graph property <a href="../../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a>.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../SetCovering/">« Set covering problem</a><a class="docs-footer-nextpage" href="../HyperSpinGlass/">Hyper Spin glass problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/SpinGlass/726b1976.svg b/dev/generated/SpinGlass/726b1976.svg
deleted file mode 100644
index c92cd514..00000000
--- a/dev/generated/SpinGlass/726b1976.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-8141840-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-8141840-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface91">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-8141840-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-8141840-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/SpinGlass/dc38b2b2.svg b/dev/generated/SpinGlass/dc38b2b2.svg
deleted file mode 100644
index 671a32ba..00000000
--- a/dev/generated/SpinGlass/dc38b2b2.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-5968730-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-5968730-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface86">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-5968730-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-5968730-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/SpinGlass/index.html b/dev/generated/SpinGlass/index.html
index d34a193e..1addc6d6 100644
--- a/dev/generated/SpinGlass/index.html
+++ b/dev/generated/SpinGlass/index.html
@@ -3,7 +3,69 @@
 
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
-show_graph(graph; locs=locations, format=:svg)</code></pre><img src="dc38b2b2.svg" alt="Example block output"/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We define an anti-ferromagnetic spin glass problem as</p><pre><code class="language-julia hljs">problem = SpinGlass(graph; J=fill(-1, ne(graph)));</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>The spin glass problem is reduced to the <a href="../MaxCut/#Cutting-problem">Cutting problem</a> for solving. Let <span>$G=(V,E)$</span> be a graph, the cutting problem can also be described by the following energy model</p><p class="math-container">\[H^c = \sum_{ij \in E} C_{ij} ((1 - n_i) n_j + (1 - n_j) n_i) + \sum_{i \in V} w_i n_i,\]</p><p>where <span>$n_i$</span> is the same as the partition index in the cutting problem, <span>$C_{ij} = 2J_{ij}$</span> are edge weights and <span>$w_i = -2h_i$</span> are vertex weights. The total energy is shifted by <span>$-\sum_{ij\in E}J_{ij} + \sum_{i \in V} h_i$</span>.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Minimum-and-maximum-energies"><a class="docs-heading-anchor" href="#Minimum-and-maximum-energies">Minimum and maximum energies</a><a id="Minimum-and-maximum-energies-1"></a><a class="docs-heading-anchor-permalink" href="#Minimum-and-maximum-energies" title="Permalink"></a></h3><p>Its ground state energy is -9.</p><pre><code class="language-julia hljs">Emin = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">-9.0ₜ</code></pre><p>While the state correspond to the highest energy has the ferromagnetic order.</p><pre><code class="language-julia hljs">Emax = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">15.0ₜ</code></pre><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="graph-polynomial"><a class="docs-heading-anchor" href="#graph-polynomial">graph polynomial</a><a id="graph-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#graph-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the spin glass problem is a Laurent polynomial</p><p class="math-container">\[Z(G, J, h, x) = \sum_{k=E_{\rm min}}^{E_{\rm max}} c_k x^k,\]</p><p>where <span>$E_{\rm min}$</span> and <span>$E_{\rm max}$</span> are minimum and maximum energies, <span>$c_k$</span> is the number of spin configurations with energy <span>$k$</span>. Let <span>$x = e^\beta$</span>, it corresponds to the partition function of a spin glass at temperature <span>$\beta^{-1}$</span>.</p><pre><code class="language-julia hljs">partition_function = solve(problem, GraphPolynomial())[]</code></pre>10&#8729;x⁻⁹ &#43; 60&#8729;x⁻⁷ &#43; 120&#8729;x⁻⁵ &#43; 120&#8729;x⁻³ &#43; 150&#8729;x⁻¹ &#43; 240&#8729;x &#43; 200&#8729;x³ &#43; 72&#8729;x⁵ &#43; 30&#8729;x⁷ &#43; 20&#8729;x⁹ &#43; 2&#8729;x¹⁵<h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-a-ground-state"><a class="docs-heading-anchor" href="#finding-a-ground-state">finding a ground state</a><a id="finding-a-ground-state-1"></a><a class="docs-heading-anchor-permalink" href="#finding-a-ground-state" title="Permalink"></a></h5><pre><code class="language-julia hljs">ground_state = solve(problem, SingleConfigMin())[].c.data
+show_graph(graph; locs=locations, format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface86">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><h2 id="Generic-tensor-network-representation"><a class="docs-heading-anchor" href="#Generic-tensor-network-representation">Generic tensor network representation</a><a id="Generic-tensor-network-representation-1"></a><a class="docs-heading-anchor-permalink" href="#Generic-tensor-network-representation" title="Permalink"></a></h2><p>We define an anti-ferromagnetic spin glass problem as</p><pre><code class="language-julia hljs">problem = SpinGlass(graph; J=fill(-1, ne(graph)));</code></pre><h3 id="Theory-(can-skip)"><a class="docs-heading-anchor" href="#Theory-(can-skip)">Theory (can skip)</a><a id="Theory-(can-skip)-1"></a><a class="docs-heading-anchor-permalink" href="#Theory-(can-skip)" title="Permalink"></a></h3><p>The spin glass problem is reduced to the <a href="../MaxCut/#Cutting-problem">Cutting problem</a> for solving. Let <span>$G=(V,E)$</span> be a graph, the cutting problem can also be described by the following energy model</p><p class="math-container">\[H^c = \sum_{ij \in E} C_{ij} ((1 - n_i) n_j + (1 - n_j) n_i) + \sum_{i \in V} w_i n_i,\]</p><p>where <span>$n_i$</span> is the same as the partition index in the cutting problem, <span>$C_{ij} = 2J_{ij}$</span> are edge weights and <span>$w_i = -2h_i$</span> are vertex weights. The total energy is shifted by <span>$-\sum_{ij\in E}J_{ij} + \sum_{i \in V} h_i$</span>.</p><h2 id="Solving-properties"><a class="docs-heading-anchor" href="#Solving-properties">Solving properties</a><a id="Solving-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Solving-properties" title="Permalink"></a></h2><h3 id="Minimum-and-maximum-energies"><a class="docs-heading-anchor" href="#Minimum-and-maximum-energies">Minimum and maximum energies</a><a id="Minimum-and-maximum-energies-1"></a><a class="docs-heading-anchor-permalink" href="#Minimum-and-maximum-energies" title="Permalink"></a></h3><p>Its ground state energy is -9.</p><pre><code class="language-julia hljs">Emin = solve(problem, SizeMin())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">-9.0ₜ</code></pre><p>While the state correspond to the highest energy has the ferromagnetic order.</p><pre><code class="language-julia hljs">Emax = solve(problem, SizeMax())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">15.0ₜ</code></pre><h3 id="Counting-properties"><a class="docs-heading-anchor" href="#Counting-properties">Counting properties</a><a id="Counting-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Counting-properties" title="Permalink"></a></h3><h5 id="graph-polynomial"><a class="docs-heading-anchor" href="#graph-polynomial">graph polynomial</a><a id="graph-polynomial-1"></a><a class="docs-heading-anchor-permalink" href="#graph-polynomial" title="Permalink"></a></h5><p>The graph polynomial defined for the spin glass problem is a Laurent polynomial</p><p class="math-container">\[Z(G, J, h, x) = \sum_{k=E_{\rm min}}^{E_{\rm max}} c_k x^k,\]</p><p>where <span>$E_{\rm min}$</span> and <span>$E_{\rm max}$</span> are minimum and maximum energies, <span>$c_k$</span> is the number of spin configurations with energy <span>$k$</span>. Let <span>$x = e^\beta$</span>, it corresponds to the partition function of a spin glass at temperature <span>$\beta^{-1}$</span>.</p><pre><code class="language-julia hljs">partition_function = solve(problem, GraphPolynomial())[]</code></pre>10&#8729;x⁻⁹ &#43; 60&#8729;x⁻⁷ &#43; 120&#8729;x⁻⁵ &#43; 120&#8729;x⁻³ &#43; 150&#8729;x⁻¹ &#43; 240&#8729;x &#43; 200&#8729;x³ &#43; 72&#8729;x⁵ &#43; 30&#8729;x⁷ &#43; 20&#8729;x⁹ &#43; 2&#8729;x¹⁵<h3 id="Configuration-properties"><a class="docs-heading-anchor" href="#Configuration-properties">Configuration properties</a><a id="Configuration-properties-1"></a><a class="docs-heading-anchor-permalink" href="#Configuration-properties" title="Permalink"></a></h3><h5 id="finding-a-ground-state"><a class="docs-heading-anchor" href="#finding-a-ground-state">finding a ground state</a><a id="finding-a-ground-state-1"></a><a class="docs-heading-anchor-permalink" href="#finding-a-ground-state" title="Permalink"></a></h5><pre><code class="language-julia hljs">ground_state = solve(problem, SingleConfigMin())[].c.data
 
 Emin_verify = spinglass_energy(graph, ground_state)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">9</code></pre><p>You should see a consistent result as above <code>Emin</code>.</p><pre><code class="language-julia hljs">show_graph(graph; locs=locations, vertex_colors=[
-        iszero(ground_state[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)], format=:svg)</code></pre><img src="726b1976.svg" alt="Example block output"/><p>where a red vertex and a white vertex correspond to a spin having value 1 and 0 respectively.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../MaximalIS/">« Maximal independent set problem</a><a class="docs-footer-nextpage" href="../MaxCut/">Cutting problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+        iszero(ground_state[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)], format=:svg)</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface91">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>where a red vertex and a white vertex correspond to a spin having value 1 and 0 respectively.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../MaximalIS/">« Maximal independent set problem</a><a class="docs-footer-nextpage" href="../MaxCut/">Cutting problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/open/index.html b/dev/generated/open/index.html
index 0e913680..3e1eca6b 100644
--- a/dev/generated/open/index.html
+++ b/dev/generated/open/index.html
@@ -26,4 +26,4 @@
 
 [:, :, 2] =
  4.0ₜ  -Infₜ
- 4.0ₜ  -Infₜ</code></pre><p>One can easily check this one also gets the correct marginal on vertices 1, 2 and 3. As a reminder, their computational hardness can be different, because the contraction order optimization program can optimize over open degrees of freedom.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../weighted/">« Weighted problems</a><a class="docs-footer-nextpage" href="../../performancetips/">Performance Tips »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ 4.0ₜ  -Infₜ</code></pre><p>One can easily check this one also gets the correct marginal on vertices 1, 2 and 3. As a reminder, their computational hardness can be different, because the contraction order optimization program can optimize over open degrees of freedom.</p><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../weighted/">« Weighted problems</a><a class="docs-footer-nextpage" href="../../performancetips/">Performance Tips »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/saveload/index.html b/dev/generated/saveload/index.html
index ad4cec73..3385f7ea 100644
--- a/dev/generated/saveload/index.html
+++ b/dev/generated/saveload/index.html
@@ -3,49 +3,71 @@
 
 problem = IndependentSet(Graphs.smallgraph(:petersen))
 
-all_independent_sets = solve(problem, ConfigsAll())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0100000000, 0010000000, 0000100000, 0100100000, 0010100000, 0000000001, 0100000001, 0010000001, 0000010000, 0100010000, 0010010000, 0000110000, 0100110000, 0010110000, 0000010001, 0100010001, 0010010001, 0000000010, 0100000010, 0010000010, 0000100010, 0100100010, 0010100010, 0000000011, 0100000011, 0010000011, 1000000000, 1010000000, 1000000001, 1010000001, 1000000010, 1010000010, 1000000011, 1010000011, 0000001000, 0010001000, 0000101000, 0010101000, 0000011000, 0010011000, 0000111000, 0010111000, 1000001000, 1010001000, 0001000000, 0101000000, 0001000001, 0101000001, 0001010000, 0101010000, 0001010001, 0101010001, 1001000000, 1001000001, 0001001000, 0001011000, 1001001000, 0000000100, 0100000100, 0000100100, 0100100100, 0000000110, 0100000110, 0000100110, 0100100110, 1000000100, 1000000110, 0000001100, 0000101100, 1000001100, 0001000100, 0101000100, 1001000100, 0001001100, 1001001100}</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>. We can use <a href="../../ref/#GenericTensorNetworks.save_configs"><code>save_configs</code></a> and <a href="../../ref/#GenericTensorNetworks.load_configs"><code>load_configs</code></a> to save and read a <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a> instance to the disk.</p><pre><code class="language-julia hljs">filename = tempname()
+all_independent_sets = solve(problem, ConfigsAll())[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0010000000, 0100000000, 0000000001, 0010000001, 0100000001, 0000100000, 0010100000, 0100100000, 0000000010, 0010000010, 0100000010, 0000000011, 0010000011, 0100000011, 0000100010, 0010100010, 0100100010, 0001000000, 0101000000, 0001000001, 0101000001, 0000001000, 0010001000, 0000101000, 0010101000, 0001001000, 1000000000, 1010000000, 1000000001, 1010000001, 1000000010, 1010000010, 1000000011, 1010000011, 1001000000, 1001000001, 1000001000, 1010001000, 1001001000, 0000000100, 0100000100, 0000100100, 0100100100, 0000000110, 0100000110, 0000100110, 0100100110, 0001000100, 0101000100, 0000001100, 0000101100, 0001001100, 1000000100, 1000000110, 1001000100, 1000001100, 1001001100, 0000010000, 0010010000, 0100010000, 0000010001, 0010010001, 0100010001, 0000110000, 0010110000, 0100110000, 0001010000, 0101010000, 0001010001, 0101010001, 0000011000, 0010011000, 0000111000, 0010111000, 0001011000}</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>. We can use <a href="../../ref/#GenericTensorNetworks.save_configs"><code>save_configs</code></a> and <a href="../../ref/#GenericTensorNetworks.load_configs"><code>load_configs</code></a> to save and read a <a href="../../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a> instance to the disk.</p><pre><code class="language-julia hljs">filename = tempname()
 
 save_configs(filename, all_independent_sets; format=:binary)
 
-loaded_sets = load_configs(filename; format=:binary, bitlength=10)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0100000000, 0010000000, 0000100000, 0100100000, 0010100000, 0000000001, 0100000001, 0010000001, 0000010000, 0100010000, 0010010000, 0000110000, 0100110000, 0010110000, 0000010001, 0100010001, 0010010001, 0000000010, 0100000010, 0010000010, 0000100010, 0100100010, 0010100010, 0000000011, 0100000011, 0010000011, 1000000000, 1010000000, 1000000001, 1010000001, 1000000010, 1010000010, 1000000011, 1010000011, 0000001000, 0010001000, 0000101000, 0010101000, 0000011000, 0010011000, 0000111000, 0010111000, 1000001000, 1010001000, 0001000000, 0101000000, 0001000001, 0101000001, 0001010000, 0101010000, 0001010001, 0101010001, 1001000000, 1001000001, 0001001000, 0001011000, 1001001000, 0000000100, 0100000100, 0000100100, 0100100100, 0000000110, 0100000110, 0000100110, 0100100110, 1000000100, 1000000110, 0000001100, 0000101100, 1000001100, 0001000100, 0101000100, 1001000100, 0001001100, 1001001100}</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>When loading the data in the binary format, bit string length information <code>bitlength</code> is required.</p></div></div><p>For the <a href="../../ref/#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> type output, we can use <a href="../../ref/#GenericTensorNetworks.save_sumproduct"><code>save_sumproduct</code></a> and <a href="../../ref/#GenericTensorNetworks.load_sumproduct"><code>load_sumproduct</code></a> to save and load serialized data.</p><pre><code class="language-julia hljs">all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]
+loaded_sets = load_configs(filename; format=:binary, bitlength=10)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">{0000000000, 0010000000, 0100000000, 0000000001, 0010000001, 0100000001, 0000100000, 0010100000, 0100100000, 0000000010, 0010000010, 0100000010, 0000000011, 0010000011, 0100000011, 0000100010, 0010100010, 0100100010, 0001000000, 0101000000, 0001000001, 0101000001, 0000001000, 0010001000, 0000101000, 0010101000, 0001001000, 1000000000, 1010000000, 1000000001, 1010000001, 1000000010, 1010000010, 1000000011, 1010000011, 1001000000, 1001000001, 1000001000, 1010001000, 1001001000, 0000000100, 0100000100, 0000100100, 0100100100, 0000000110, 0100000110, 0000100110, 0100100110, 0001000100, 0101000100, 0000001100, 0000101100, 0001001100, 1000000100, 1000000110, 1001000100, 1000001100, 1001001100, 0000010000, 0010010000, 0100010000, 0000010001, 0010010001, 0100010001, 0000110000, 0010110000, 0100110000, 0001010000, 0101010000, 0001010001, 0101010001, 0000011000, 0010011000, 0000111000, 0010111000, 0001011000}</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>When loading the data in the binary format, bit string length information <code>bitlength</code> is required.</p></div></div><p>For the <a href="../../ref/#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> type output, we can use <a href="../../ref/#GenericTensorNetworks.save_sumproduct"><code>save_sumproduct</code></a> and <a href="../../ref/#GenericTensorNetworks.load_sumproduct"><code>load_sumproduct</code></a> to save and load serialized data.</p><pre><code class="language-julia hljs">all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]
 
 save_sumproduct(filename, all_independent_sets_tree)
 
 loaded_sets_tree = load_sumproduct(filename)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">+ (count = 76.0)
-├─ + (count = 75.0)
-│  ├─ + (count = 74.0)
-│  │  ├─ + (count = 73.0)
-│  │  │  ├─ + (count = 71.0)
-│  │  │  │  ├─ + (count = 70.0)
+├─ + (count = 58.0)
+│  ├─ + (count = 53.0)
+│  │  ├─ + (count = 40.0)
+│  │  │  ├─ + (count = 27.0)
+│  │  │  │  ├─ + (count = 26.0)
 │  │  │  │  │  ⋮
 │  │  │  │  │  
 │  │  │  │  └─ * (count = 1.0)
 │  │  │  │     ⋮
 │  │  │  │     
-│  │  │  └─ * (count = 2.0)
-│  │  │     ├─ + (count = 2.0)
-│  │  │     │  ⋮
-│  │  │     │  
-│  │  │     └─ * (count = 1.0)
+│  │  │  └─ * (count = 13.0)
+│  │  │     ├─ OnehotVec{10, 2}(1, 1)
+│  │  │     └─ + (count = 13.0)
 │  │  │        ⋮
 │  │  │        
-│  │  └─ * (count = 1.0)
-│  │     ├─ OnehotVec{10, 2}(1, 1)
-│  │     └─ * (count = 1.0)
-│  │        ├─ OnehotVec{10, 2}(4, 1)
-│  │        └─ OnehotVec{10, 2}(8, 1)
-│  └─ * (count = 1.0)
-│     ├─ OnehotVec{10, 2}(4, 1)
-│     └─ * (count = 1.0)
-│        ├─ OnehotVec{10, 2}(7, 1)
-│        └─ OnehotVec{10, 2}(8, 1)
-└─ * (count = 1.0)
-   ├─ OnehotVec{10, 2}(1, 1)
-   └─ * (count = 1.0)
-      ├─ OnehotVec{10, 2}(4, 1)
+│  │  └─ * (count = 13.0)
+│  │     ├─ OnehotVec{10, 2}(8, 1)
+│  │     └─ + (count = 13.0)
+│  │        ├─ + (count = 12.0)
+│  │        │  ⋮
+│  │        │  
+│  │        └─ * (count = 1.0)
+│  │           ⋮
+│  │           
+│  └─ * (count = 5.0)
+│     ├─ * (count = 1.0)
+│     │  ├─ OnehotVec{10, 2}(1, 1)
+│     │  └─ OnehotVec{10, 2}(8, 1)
+│     └─ + (count = 5.0)
+│        ├─ + (count = 4.0)
+│        │  ├─ + (count = 3.0)
+│        │  │  ⋮
+│        │  │  
+│        │  └─ OnehotVec{10, 2}(7, 1)
+│        └─ * (count = 1.0)
+│           ├─ OnehotVec{10, 2}(4, 1)
+│           └─ OnehotVec{10, 2}(7, 1)
+└─ * (count = 18.0)
+   ├─ OnehotVec{10, 2}(6, 1)
+   └─ + (count = 18.0)
+      ├─ + (count = 17.0)
+      │  ├─ + (count = 13.0)
+      │  │  ├─ * (count = 9.0)
+      │  │  │  ⋮
+      │  │  │  
+      │  │  └─ * (count = 4.0)
+      │  │     ⋮
+      │  │     
+      │  └─ * (count = 4.0)
+      │     ├─ * (count = 4.0)
+      │     │  ⋮
+      │     │  
+      │     └─ OnehotVec{10, 2}(7, 1)
       └─ * (count = 1.0)
-         ├─ OnehotVec{10, 2}(7, 1)
-         └─ OnehotVec{10, 2}(8, 1)
+         ├─ OnehotVec{10, 2}(4, 1)
+         └─ OnehotVec{10, 2}(7, 1)
 </code></pre><h2 id="Loading-solutions-to-python"><a class="docs-heading-anchor" href="#Loading-solutions-to-python">Loading solutions to python</a><a id="Loading-solutions-to-python-1"></a><a class="docs-heading-anchor-permalink" href="#Loading-solutions-to-python" title="Permalink"></a></h2><p>The following python script loads and unpacks the solutions as a numpy array from a <code>:binary</code> format file.</p><pre><code class="language-python hljs">import numpy as np
 
 def loadfile(filename:str, bitlength:int):
@@ -57,4 +79,4 @@
     print(&quot;number of solutions = %d&quot;%(len(res)))
     return res  # in big endian format
 
-res = loadfile(filename, 10)</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Check section <a href="../MaximalIS/#Maximal-independent-set-problem">Maximal independent set problem</a> for solution space properties related the maximal independent sets. That example also contains using cases of finding solution space properties related to minimum sizes:</p><ul><li><a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> for finding minimum several set sizes,</li><li><a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a> for counting minimum several set sizes,</li><li><a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a> for finding one solution with minimum several sizes,</li><li><a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> for enumerating solutions with minimum several sizes,</li></ul></div></div><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../gist/">« Gist</a><a class="docs-footer-nextpage" href="../../sumproduct/">Sum product tree representation »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+res = loadfile(filename, 10)</code></pre><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p>Check section <a href="../MaximalIS/#Maximal-independent-set-problem">Maximal independent set problem</a> for solution space properties related the maximal independent sets. That example also contains using cases of finding solution space properties related to minimum sizes:</p><ul><li><a href="../../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a> for finding minimum several set sizes,</li><li><a href="../../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a> for counting minimum several set sizes,</li><li><a href="../../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a> for finding one solution with minimum several sizes,</li><li><a href="../../ref/#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a> for enumerating solutions with minimum several sizes,</li></ul></div></div><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../gist/">« Gist</a><a class="docs-footer-nextpage" href="../../sumproduct/">Sum product tree representation »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/generated/weighted/b95f3e0a.svg b/dev/generated/weighted/b95f3e0a.svg
deleted file mode 100644
index 7f9973c8..00000000
--- a/dev/generated/weighted/b95f3e0a.svg
+++ /dev/null
@@ -1,99 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-9306450-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-9306450-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
-<g id="surface96">
-<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-1" x="141.625652" y="235.215699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-2" x="236.731303" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-3" x="200.404177" y="54.353"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-4" x="82.847126" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-5" x="46.52" y="166.108399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-6" x="141.625652" y="185.206699"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-7" x="189.178477" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-8" x="171.014914" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-9" x="112.236389" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,100%,100%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-9306450-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-9306450-10" x="97.552826" y="150.705549"/>
-</g>
-</g>
-</svg>
diff --git a/dev/generated/weighted/273e3eea.svg b/dev/generated/weighted/e47c6a53.svg
similarity index 54%
rename from dev/generated/weighted/273e3eea.svg
rename to dev/generated/weighted/e47c6a53.svg
index 5a75e727..c0549d6d 100644
--- a/dev/generated/weighted/273e3eea.svg
+++ b/dev/generated/weighted/e47c6a53.svg
@@ -1,44 +1,7 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="281pt" viewBox="0 0 1451 281" version="1.1">
-<defs>
-<g>
-<symbol overflow="visible" id="glyph-1496130-0">
-<path style="stroke:none;" d="M 1.484375 -6.859375 C 1.691406 -7.023438 1.929688 -7.171875 2.203125 -7.296875 C 2.472656 -7.421875 2.789062 -7.484375 3.15625 -7.484375 C 3.414062 -7.484375 3.648438 -7.445312 3.859375 -7.375 C 4.066406 -7.3125 4.242188 -7.210938 4.390625 -7.078125 C 4.546875 -6.953125 4.660156 -6.796875 4.734375 -6.609375 C 4.816406 -6.429688 4.859375 -6.226562 4.859375 -6 C 4.859375 -5.769531 4.828125 -5.578125 4.765625 -5.421875 C 4.710938 -5.265625 4.640625 -5.128906 4.546875 -5.015625 C 4.460938 -4.898438 4.363281 -4.796875 4.25 -4.703125 C 4.144531 -4.617188 4.046875 -4.535156 3.953125 -4.453125 C 3.859375 -4.378906 3.773438 -4.304688 3.703125 -4.234375 C 3.640625 -4.160156 3.597656 -4.078125 3.578125 -3.984375 L 3.46875 -3.375 L 2.6875 -3.375 L 2.609375 -4.078125 C 2.597656 -4.210938 2.613281 -4.332031 2.65625 -4.4375 C 2.707031 -4.539062 2.78125 -4.632812 2.875 -4.71875 C 2.96875 -4.800781 3.066406 -4.878906 3.171875 -4.953125 C 3.285156 -5.035156 3.390625 -5.125 3.484375 -5.21875 C 3.578125 -5.3125 3.65625 -5.410156 3.71875 -5.515625 C 3.78125 -5.628906 3.8125 -5.765625 3.8125 -5.921875 C 3.8125 -6.117188 3.738281 -6.273438 3.59375 -6.390625 C 3.457031 -6.503906 3.28125 -6.5625 3.0625 -6.5625 C 2.90625 -6.5625 2.769531 -6.539062 2.65625 -6.5 C 2.550781 -6.46875 2.457031 -6.429688 2.375 -6.390625 C 2.300781 -6.347656 2.234375 -6.3125 2.171875 -6.28125 C 2.117188 -6.25 2.070312 -6.234375 2.03125 -6.234375 C 1.914062 -6.234375 1.832031 -6.273438 1.78125 -6.359375 Z M 2.359375 -1.78125 C 2.359375 -1.875 2.375 -1.960938 2.40625 -2.046875 C 2.445312 -2.128906 2.5 -2.203125 2.5625 -2.265625 C 2.625 -2.328125 2.695312 -2.375 2.78125 -2.40625 C 2.863281 -2.445312 2.953125 -2.46875 3.046875 -2.46875 C 3.140625 -2.46875 3.226562 -2.445312 3.3125 -2.40625 C 3.394531 -2.375 3.46875 -2.328125 3.53125 -2.265625 C 3.59375 -2.203125 3.640625 -2.128906 3.671875 -2.046875 C 3.703125 -1.960938 3.71875 -1.875 3.71875 -1.78125 C 3.71875 -1.675781 3.703125 -1.582031 3.671875 -1.5 C 3.640625 -1.414062 3.59375 -1.34375 3.53125 -1.28125 C 3.46875 -1.21875 3.394531 -1.171875 3.3125 -1.140625 C 3.226562 -1.109375 3.140625 -1.09375 3.046875 -1.09375 C 2.953125 -1.09375 2.863281 -1.109375 2.78125 -1.140625 C 2.695312 -1.171875 2.625 -1.21875 2.5625 -1.28125 C 2.5 -1.34375 2.445312 -1.414062 2.40625 -1.5 C 2.375 -1.582031 2.359375 -1.675781 2.359375 -1.78125 Z M 0.265625 -8.609375 L 6.140625 -8.609375 L 6.140625 0 L 0.265625 0 Z M 0.578125 -0.34375 L 5.796875 -0.34375 L 5.796875 -8.265625 L 0.578125 -8.265625 Z M 0.578125 -0.34375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-1">
-<path style="stroke:none;" d="M 1.484375 -0.875 L 3.3125 -0.875 L 3.3125 -6.59375 C 3.3125 -6.769531 3.316406 -6.953125 3.328125 -7.140625 L 1.84375 -5.875 C 1.789062 -5.820312 1.738281 -5.789062 1.6875 -5.78125 C 1.632812 -5.769531 1.582031 -5.769531 1.53125 -5.78125 C 1.476562 -5.789062 1.429688 -5.804688 1.390625 -5.828125 C 1.359375 -5.859375 1.332031 -5.882812 1.3125 -5.90625 L 0.953125 -6.40625 L 3.53125 -8.625 L 4.453125 -8.625 L 4.453125 -0.875 L 6.125 -0.875 L 6.125 0 L 1.484375 0 Z M 1.484375 -0.875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-2">
-<path style="stroke:none;" d="M 3.546875 -8.703125 C 3.921875 -8.703125 4.265625 -8.644531 4.578125 -8.53125 C 4.898438 -8.425781 5.175781 -8.269531 5.40625 -8.0625 C 5.632812 -7.863281 5.816406 -7.613281 5.953125 -7.3125 C 6.085938 -7.007812 6.15625 -6.671875 6.15625 -6.296875 C 6.15625 -5.972656 6.109375 -5.675781 6.015625 -5.40625 C 5.921875 -5.132812 5.789062 -4.875 5.625 -4.625 C 5.457031 -4.375 5.265625 -4.128906 5.046875 -3.890625 C 4.835938 -3.660156 4.613281 -3.425781 4.375 -3.1875 L 2.171875 -0.9375 C 2.328125 -0.976562 2.488281 -1.007812 2.65625 -1.03125 C 2.832031 -1.0625 2.992188 -1.078125 3.140625 -1.078125 L 5.921875 -1.078125 C 6.046875 -1.078125 6.140625 -1.039062 6.203125 -0.96875 C 6.273438 -0.894531 6.3125 -0.800781 6.3125 -0.6875 L 6.3125 0 L 0.546875 0 L 0.546875 -0.390625 C 0.546875 -0.472656 0.5625 -0.554688 0.59375 -0.640625 C 0.625 -0.722656 0.675781 -0.800781 0.75 -0.875 L 3.484375 -3.625 C 3.710938 -3.851562 3.914062 -4.070312 4.09375 -4.28125 C 4.28125 -4.5 4.441406 -4.710938 4.578125 -4.921875 C 4.710938 -5.128906 4.8125 -5.34375 4.875 -5.5625 C 4.945312 -5.78125 4.984375 -6.015625 4.984375 -6.265625 C 4.984375 -6.503906 4.945312 -6.71875 4.875 -6.90625 C 4.800781 -7.09375 4.695312 -7.242188 4.5625 -7.359375 C 4.425781 -7.484375 4.265625 -7.578125 4.078125 -7.640625 C 3.890625 -7.703125 3.691406 -7.734375 3.484375 -7.734375 C 3.273438 -7.734375 3.082031 -7.703125 2.90625 -7.640625 C 2.726562 -7.578125 2.566406 -7.488281 2.421875 -7.375 C 2.285156 -7.269531 2.171875 -7.140625 2.078125 -6.984375 C 1.984375 -6.835938 1.921875 -6.675781 1.890625 -6.5 C 1.835938 -6.351562 1.765625 -6.253906 1.671875 -6.203125 C 1.585938 -6.148438 1.46875 -6.132812 1.3125 -6.15625 L 0.71875 -6.265625 C 0.769531 -6.660156 0.878906 -7.007812 1.046875 -7.3125 C 1.210938 -7.625 1.414062 -7.878906 1.65625 -8.078125 C 1.90625 -8.285156 2.191406 -8.441406 2.515625 -8.546875 C 2.835938 -8.648438 3.179688 -8.703125 3.546875 -8.703125 Z M 3.546875 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-3">
-<path style="stroke:none;" d="M 3.59375 -8.703125 C 3.96875 -8.703125 4.304688 -8.648438 4.609375 -8.546875 C 4.921875 -8.441406 5.1875 -8.289062 5.40625 -8.09375 C 5.625 -7.90625 5.796875 -7.675781 5.921875 -7.40625 C 6.046875 -7.132812 6.109375 -6.832031 6.109375 -6.5 C 6.109375 -6.226562 6.070312 -5.984375 6 -5.765625 C 5.9375 -5.554688 5.84375 -5.367188 5.71875 -5.203125 C 5.59375 -5.046875 5.4375 -4.910156 5.25 -4.796875 C 5.070312 -4.691406 4.867188 -4.601562 4.640625 -4.53125 C 5.191406 -4.375 5.609375 -4.125 5.890625 -3.78125 C 6.171875 -3.4375 6.3125 -3.003906 6.3125 -2.484375 C 6.3125 -2.078125 6.234375 -1.710938 6.078125 -1.390625 C 5.921875 -1.078125 5.710938 -0.8125 5.453125 -0.59375 C 5.191406 -0.375 4.882812 -0.203125 4.53125 -0.078125 C 4.1875 0.0351562 3.816406 0.09375 3.421875 0.09375 C 2.972656 0.09375 2.585938 0.0390625 2.265625 -0.0625 C 1.941406 -0.175781 1.664062 -0.332031 1.4375 -0.53125 C 1.207031 -0.726562 1.015625 -0.960938 0.859375 -1.234375 C 0.710938 -1.515625 0.59375 -1.820312 0.5 -2.15625 L 0.984375 -2.359375 C 1.117188 -2.421875 1.242188 -2.4375 1.359375 -2.40625 C 1.484375 -2.382812 1.570312 -2.316406 1.625 -2.203125 C 1.675781 -2.085938 1.742188 -1.953125 1.828125 -1.796875 C 1.910156 -1.648438 2.015625 -1.503906 2.140625 -1.359375 C 2.273438 -1.222656 2.441406 -1.109375 2.640625 -1.015625 C 2.847656 -0.921875 3.101562 -0.875 3.40625 -0.875 C 3.707031 -0.875 3.96875 -0.921875 4.1875 -1.015625 C 4.40625 -1.109375 4.585938 -1.234375 4.734375 -1.390625 C 4.878906 -1.546875 4.988281 -1.710938 5.0625 -1.890625 C 5.132812 -2.078125 5.171875 -2.265625 5.171875 -2.453125 C 5.171875 -2.679688 5.140625 -2.890625 5.078125 -3.078125 C 5.015625 -3.265625 4.90625 -3.425781 4.75 -3.5625 C 4.59375 -3.695312 4.375 -3.800781 4.09375 -3.875 C 3.8125 -3.957031 3.445312 -4 3 -4 L 3 -4.828125 C 3.363281 -4.828125 3.671875 -4.863281 3.921875 -4.9375 C 4.179688 -5.007812 4.390625 -5.109375 4.546875 -5.234375 C 4.710938 -5.367188 4.828125 -5.523438 4.890625 -5.703125 C 4.960938 -5.890625 5 -6.09375 5 -6.3125 C 5 -6.550781 4.960938 -6.757812 4.890625 -6.9375 C 4.816406 -7.113281 4.710938 -7.257812 4.578125 -7.375 C 4.453125 -7.488281 4.296875 -7.578125 4.109375 -7.640625 C 3.929688 -7.703125 3.738281 -7.734375 3.53125 -7.734375 C 3.3125 -7.734375 3.113281 -7.703125 2.9375 -7.640625 C 2.757812 -7.578125 2.601562 -7.488281 2.46875 -7.375 C 2.332031 -7.269531 2.21875 -7.140625 2.125 -6.984375 C 2.03125 -6.835938 1.960938 -6.675781 1.921875 -6.5 C 1.867188 -6.351562 1.800781 -6.253906 1.71875 -6.203125 C 1.632812 -6.148438 1.515625 -6.132812 1.359375 -6.15625 L 0.75 -6.265625 C 0.8125 -6.660156 0.921875 -7.007812 1.078125 -7.3125 C 1.242188 -7.625 1.453125 -7.878906 1.703125 -8.078125 C 1.953125 -8.285156 2.234375 -8.441406 2.546875 -8.546875 C 2.867188 -8.648438 3.21875 -8.703125 3.59375 -8.703125 Z M 3.59375 -8.703125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-4">
-<path style="stroke:none;" d="M 5.359375 -3.125 L 6.625 -3.125 L 6.625 -2.46875 C 6.625 -2.40625 6.601562 -2.347656 6.5625 -2.296875 C 6.519531 -2.253906 6.457031 -2.234375 6.375 -2.234375 L 5.359375 -2.234375 L 5.359375 0 L 4.359375 0 L 4.359375 -2.234375 L 0.5625 -2.234375 C 0.476562 -2.234375 0.40625 -2.253906 0.34375 -2.296875 C 0.289062 -2.347656 0.253906 -2.410156 0.234375 -2.484375 L 0.125 -3.078125 L 4.296875 -8.609375 L 5.359375 -8.609375 Z M 4.359375 -6.546875 C 4.359375 -6.660156 4.363281 -6.78125 4.375 -6.90625 C 4.382812 -7.03125 4.398438 -7.160156 4.421875 -7.296875 L 1.359375 -3.125 L 4.359375 -3.125 Z M 4.359375 -6.546875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-5">
-<path style="stroke:none;" d="M 5.90625 -8.125 C 5.90625 -7.957031 5.851562 -7.820312 5.75 -7.71875 C 5.65625 -7.613281 5.488281 -7.5625 5.25 -7.5625 L 2.59375 -7.5625 L 2.21875 -5.375 C 2.65625 -5.476562 3.054688 -5.53125 3.421875 -5.53125 C 3.867188 -5.53125 4.265625 -5.460938 4.609375 -5.328125 C 4.953125 -5.191406 5.238281 -5.003906 5.46875 -4.765625 C 5.707031 -4.535156 5.882812 -4.257812 6 -3.9375 C 6.125 -3.625 6.1875 -3.285156 6.1875 -2.921875 C 6.1875 -2.460938 6.101562 -2.046875 5.9375 -1.671875 C 5.78125 -1.296875 5.5625 -0.976562 5.28125 -0.71875 C 5 -0.457031 4.664062 -0.253906 4.28125 -0.109375 C 3.90625 0.0234375 3.5 0.09375 3.0625 0.09375 C 2.8125 0.09375 2.566406 0.0664062 2.328125 0.015625 C 2.097656 -0.0234375 1.878906 -0.0859375 1.671875 -0.171875 C 1.472656 -0.265625 1.285156 -0.363281 1.109375 -0.46875 C 0.941406 -0.582031 0.785156 -0.703125 0.640625 -0.828125 L 1 -1.3125 C 1.070312 -1.425781 1.171875 -1.484375 1.296875 -1.484375 C 1.378906 -1.484375 1.46875 -1.453125 1.5625 -1.390625 C 1.664062 -1.328125 1.785156 -1.253906 1.921875 -1.171875 C 2.066406 -1.097656 2.238281 -1.03125 2.4375 -0.96875 C 2.632812 -0.90625 2.863281 -0.875 3.125 -0.875 C 3.414062 -0.875 3.675781 -0.921875 3.90625 -1.015625 C 4.144531 -1.109375 4.347656 -1.242188 4.515625 -1.421875 C 4.679688 -1.597656 4.804688 -1.804688 4.890625 -2.046875 C 4.984375 -2.296875 5.03125 -2.566406 5.03125 -2.859375 C 5.03125 -3.128906 4.988281 -3.367188 4.90625 -3.578125 C 4.832031 -3.785156 4.71875 -3.960938 4.5625 -4.109375 C 4.414062 -4.265625 4.222656 -4.378906 3.984375 -4.453125 C 3.753906 -4.535156 3.488281 -4.578125 3.1875 -4.578125 C 2.757812 -4.578125 2.300781 -4.5 1.8125 -4.34375 L 1.109375 -4.5625 L 1.796875 -8.609375 L 5.90625 -8.609375 Z M 5.90625 -8.125 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-6">
-<path style="stroke:none;" d="M 2.890625 -5.40625 C 2.816406 -5.3125 2.742188 -5.222656 2.671875 -5.140625 C 2.609375 -5.054688 2.546875 -4.972656 2.484375 -4.890625 C 2.679688 -5.015625 2.898438 -5.113281 3.140625 -5.1875 C 3.378906 -5.257812 3.632812 -5.296875 3.90625 -5.296875 C 4.25 -5.296875 4.578125 -5.238281 4.890625 -5.125 C 5.203125 -5.007812 5.472656 -4.84375 5.703125 -4.625 C 5.929688 -4.40625 6.113281 -4.132812 6.25 -3.8125 C 6.394531 -3.5 6.46875 -3.132812 6.46875 -2.71875 C 6.46875 -2.320312 6.394531 -1.953125 6.25 -1.609375 C 6.101562 -1.265625 5.898438 -0.96875 5.640625 -0.71875 C 5.378906 -0.46875 5.066406 -0.269531 4.703125 -0.125 C 4.335938 0.0195312 3.929688 0.09375 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0234375 2.296875 -0.109375 C 1.953125 -0.253906 1.65625 -0.453125 1.40625 -0.703125 C 1.15625 -0.960938 0.960938 -1.273438 0.828125 -1.640625 C 0.691406 -2.003906 0.625 -2.410156 0.625 -2.859375 C 0.625 -3.242188 0.707031 -3.644531 0.875 -4.0625 C 1.039062 -4.488281 1.300781 -4.945312 1.65625 -5.4375 L 3.828125 -8.328125 C 3.878906 -8.410156 3.957031 -8.476562 4.0625 -8.53125 C 4.175781 -8.582031 4.300781 -8.609375 4.4375 -8.609375 L 5.453125 -8.609375 Z M 1.71875 -2.65625 C 1.71875 -2.394531 1.753906 -2.148438 1.828125 -1.921875 C 1.910156 -1.703125 2.023438 -1.507812 2.171875 -1.34375 C 2.328125 -1.1875 2.507812 -1.066406 2.71875 -0.984375 C 2.9375 -0.898438 3.1875 -0.859375 3.46875 -0.859375 C 3.75 -0.859375 4.003906 -0.898438 4.234375 -0.984375 C 4.460938 -1.078125 4.65625 -1.203125 4.8125 -1.359375 C 4.976562 -1.523438 5.101562 -1.710938 5.1875 -1.921875 C 5.28125 -2.140625 5.328125 -2.378906 5.328125 -2.640625 C 5.328125 -2.910156 5.28125 -3.15625 5.1875 -3.375 C 5.101562 -3.601562 4.984375 -3.789062 4.828125 -3.9375 C 4.671875 -4.09375 4.484375 -4.210938 4.265625 -4.296875 C 4.046875 -4.378906 3.804688 -4.421875 3.546875 -4.421875 C 3.265625 -4.421875 3.007812 -4.375 2.78125 -4.28125 C 2.550781 -4.1875 2.359375 -4.054688 2.203125 -3.890625 C 2.046875 -3.734375 1.925781 -3.546875 1.84375 -3.328125 C 1.757812 -3.117188 1.71875 -2.894531 1.71875 -2.65625 Z M 1.71875 -2.65625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-7">
-<path style="stroke:none;" d="M 6.5 -8.609375 L 6.5 -8.109375 C 6.5 -7.960938 6.484375 -7.84375 6.453125 -7.75 C 6.421875 -7.65625 6.390625 -7.570312 6.359375 -7.5 L 2.84375 -0.40625 C 2.78125 -0.289062 2.703125 -0.191406 2.609375 -0.109375 C 2.515625 -0.0351562 2.382812 0 2.21875 0 L 1.40625 0 L 4.96875 -7.015625 C 5.070312 -7.210938 5.191406 -7.394531 5.328125 -7.5625 L 0.90625 -7.5625 C 0.832031 -7.5625 0.765625 -7.585938 0.703125 -7.640625 C 0.648438 -7.703125 0.625 -7.769531 0.625 -7.84375 L 0.625 -8.609375 Z M 6.5 -8.609375 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-8">
-<path style="stroke:none;" d="M 3.484375 0.09375 C 3.046875 0.09375 2.648438 0.0351562 2.296875 -0.078125 C 1.941406 -0.191406 1.632812 -0.351562 1.375 -0.5625 C 1.113281 -0.78125 0.910156 -1.039062 0.765625 -1.34375 C 0.628906 -1.644531 0.5625 -1.984375 0.5625 -2.359375 C 0.5625 -2.910156 0.703125 -3.363281 0.984375 -3.71875 C 1.265625 -4.070312 1.675781 -4.328125 2.21875 -4.484375 C 1.769531 -4.648438 1.429688 -4.898438 1.203125 -5.234375 C 0.972656 -5.566406 0.859375 -5.96875 0.859375 -6.4375 C 0.859375 -6.757812 0.921875 -7.054688 1.046875 -7.328125 C 1.171875 -7.609375 1.347656 -7.847656 1.578125 -8.046875 C 1.804688 -8.253906 2.082031 -8.414062 2.40625 -8.53125 C 2.726562 -8.644531 3.085938 -8.703125 3.484375 -8.703125 C 3.867188 -8.703125 4.222656 -8.644531 4.546875 -8.53125 C 4.867188 -8.414062 5.144531 -8.253906 5.375 -8.046875 C 5.601562 -7.847656 5.78125 -7.609375 5.90625 -7.328125 C 6.039062 -7.054688 6.109375 -6.757812 6.109375 -6.4375 C 6.109375 -5.96875 5.988281 -5.566406 5.75 -5.234375 C 5.519531 -4.898438 5.179688 -4.648438 4.734375 -4.484375 C 5.273438 -4.328125 5.6875 -4.070312 5.96875 -3.71875 C 6.25 -3.363281 6.390625 -2.910156 6.390625 -2.359375 C 6.390625 -1.984375 6.316406 -1.644531 6.171875 -1.34375 C 6.035156 -1.039062 5.835938 -0.78125 5.578125 -0.5625 C 5.328125 -0.351562 5.019531 -0.191406 4.65625 -0.078125 C 4.300781 0.0351562 3.910156 0.09375 3.484375 0.09375 Z M 3.484375 -0.8125 C 3.753906 -0.8125 4 -0.847656 4.21875 -0.921875 C 4.4375 -1.003906 4.617188 -1.113281 4.765625 -1.25 C 4.910156 -1.394531 5.019531 -1.5625 5.09375 -1.75 C 5.175781 -1.945312 5.21875 -2.160156 5.21875 -2.390625 C 5.21875 -2.671875 5.171875 -2.910156 5.078125 -3.109375 C 4.984375 -3.316406 4.859375 -3.484375 4.703125 -3.609375 C 4.546875 -3.742188 4.359375 -3.84375 4.140625 -3.90625 C 3.929688 -3.96875 3.710938 -4 3.484375 -4 C 3.242188 -4 3.019531 -3.96875 2.8125 -3.90625 C 2.601562 -3.84375 2.414062 -3.742188 2.25 -3.609375 C 2.09375 -3.484375 1.96875 -3.316406 1.875 -3.109375 C 1.78125 -2.910156 1.734375 -2.671875 1.734375 -2.390625 C 1.734375 -2.160156 1.769531 -1.945312 1.84375 -1.75 C 1.925781 -1.5625 2.039062 -1.394531 2.1875 -1.25 C 2.34375 -1.113281 2.523438 -1.003906 2.734375 -0.921875 C 2.953125 -0.847656 3.203125 -0.8125 3.484375 -0.8125 Z M 3.484375 -4.90625 C 3.753906 -4.90625 3.984375 -4.945312 4.171875 -5.03125 C 4.367188 -5.125 4.523438 -5.238281 4.640625 -5.375 C 4.765625 -5.519531 4.851562 -5.679688 4.90625 -5.859375 C 4.957031 -6.035156 4.984375 -6.21875 4.984375 -6.40625 C 4.984375 -6.601562 4.953125 -6.785156 4.890625 -6.953125 C 4.828125 -7.128906 4.734375 -7.28125 4.609375 -7.40625 C 4.484375 -7.539062 4.328125 -7.644531 4.140625 -7.71875 C 3.953125 -7.789062 3.734375 -7.828125 3.484375 -7.828125 C 3.234375 -7.828125 3.007812 -7.789062 2.8125 -7.71875 C 2.625 -7.644531 2.46875 -7.539062 2.34375 -7.40625 C 2.21875 -7.28125 2.125 -7.128906 2.0625 -6.953125 C 2 -6.785156 1.96875 -6.601562 1.96875 -6.40625 C 1.96875 -6.21875 1.992188 -6.035156 2.046875 -5.859375 C 2.109375 -5.679688 2.195312 -5.519531 2.3125 -5.375 C 2.4375 -5.238281 2.59375 -5.125 2.78125 -5.03125 C 2.96875 -4.945312 3.203125 -4.90625 3.484375 -4.90625 Z M 3.484375 -4.90625 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-9">
-<path style="stroke:none;" d="M 4.15625 -3.40625 C 4.226562 -3.519531 4.300781 -3.625 4.375 -3.71875 C 4.457031 -3.820312 4.53125 -3.921875 4.59375 -4.015625 C 4.375 -3.847656 4.128906 -3.722656 3.859375 -3.640625 C 3.597656 -3.554688 3.316406 -3.515625 3.015625 -3.515625 C 2.691406 -3.515625 2.382812 -3.566406 2.09375 -3.671875 C 1.800781 -3.785156 1.546875 -3.945312 1.328125 -4.15625 C 1.109375 -4.363281 0.929688 -4.617188 0.796875 -4.921875 C 0.671875 -5.234375 0.609375 -5.585938 0.609375 -5.984375 C 0.609375 -6.359375 0.675781 -6.710938 0.8125 -7.046875 C 0.957031 -7.378906 1.15625 -7.664062 1.40625 -7.90625 C 1.65625 -8.15625 1.957031 -8.347656 2.3125 -8.484375 C 2.664062 -8.628906 3.050781 -8.703125 3.46875 -8.703125 C 3.882812 -8.703125 4.265625 -8.632812 4.609375 -8.5 C 4.953125 -8.363281 5.242188 -8.171875 5.484375 -7.921875 C 5.722656 -7.679688 5.90625 -7.390625 6.03125 -7.046875 C 6.164062 -6.703125 6.234375 -6.328125 6.234375 -5.921875 C 6.234375 -5.660156 6.207031 -5.414062 6.15625 -5.1875 C 6.113281 -4.96875 6.050781 -4.75 5.96875 -4.53125 C 5.882812 -4.320312 5.78125 -4.113281 5.65625 -3.90625 C 5.53125 -3.695312 5.390625 -3.484375 5.234375 -3.265625 L 3.15625 -0.265625 C 3.101562 -0.191406 3.023438 -0.128906 2.921875 -0.078125 C 2.816406 -0.0234375 2.703125 0 2.578125 0 L 1.53125 0 Z M 5.140625 -6.046875 C 5.140625 -6.304688 5.097656 -6.539062 5.015625 -6.75 C 4.929688 -6.96875 4.816406 -7.148438 4.671875 -7.296875 C 4.523438 -7.441406 4.347656 -7.554688 4.140625 -7.640625 C 3.929688 -7.722656 3.703125 -7.765625 3.453125 -7.765625 C 3.203125 -7.765625 2.96875 -7.71875 2.75 -7.625 C 2.539062 -7.539062 2.359375 -7.425781 2.203125 -7.28125 C 2.054688 -7.132812 1.941406 -6.957031 1.859375 -6.75 C 1.785156 -6.539062 1.75 -6.316406 1.75 -6.078125 C 1.75 -5.535156 1.894531 -5.117188 2.1875 -4.828125 C 2.476562 -4.535156 2.878906 -4.390625 3.390625 -4.390625 C 3.671875 -4.390625 3.921875 -4.429688 4.140625 -4.515625 C 4.359375 -4.609375 4.539062 -4.734375 4.6875 -4.890625 C 4.832031 -5.046875 4.941406 -5.222656 5.015625 -5.421875 C 5.097656 -5.617188 5.140625 -5.828125 5.140625 -6.046875 Z M 5.140625 -6.046875 "/>
-</symbol>
-<symbol overflow="visible" id="glyph-1496130-10">
-<path style="stroke:none;" d="M 6.609375 -4.3125 C 6.609375 -3.5625 6.523438 -2.910156 6.359375 -2.359375 C 6.203125 -1.804688 5.984375 -1.347656 5.703125 -0.984375 C 5.421875 -0.617188 5.085938 -0.347656 4.703125 -0.171875 C 4.328125 0.00390625 3.914062 0.09375 3.46875 0.09375 C 3.03125 0.09375 2.617188 0.00390625 2.234375 -0.171875 C 1.859375 -0.347656 1.53125 -0.617188 1.25 -0.984375 C 0.96875 -1.347656 0.742188 -1.804688 0.578125 -2.359375 C 0.421875 -2.910156 0.34375 -3.5625 0.34375 -4.3125 C 0.34375 -5.0625 0.421875 -5.710938 0.578125 -6.265625 C 0.742188 -6.816406 0.96875 -7.269531 1.25 -7.625 C 1.53125 -7.988281 1.859375 -8.257812 2.234375 -8.4375 C 2.617188 -8.613281 3.03125 -8.703125 3.46875 -8.703125 C 3.914062 -8.703125 4.328125 -8.613281 4.703125 -8.4375 C 5.085938 -8.257812 5.421875 -7.988281 5.703125 -7.625 C 5.984375 -7.269531 6.203125 -6.816406 6.359375 -6.265625 C 6.523438 -5.710938 6.609375 -5.0625 6.609375 -4.3125 Z M 5.4375 -4.3125 C 5.4375 -4.957031 5.378906 -5.5 5.265625 -5.9375 C 5.160156 -6.375 5.015625 -6.726562 4.828125 -7 C 4.648438 -7.269531 4.441406 -7.460938 4.203125 -7.578125 C 3.972656 -7.691406 3.726562 -7.75 3.46875 -7.75 C 3.21875 -7.75 2.972656 -7.691406 2.734375 -7.578125 C 2.492188 -7.460938 2.285156 -7.269531 2.109375 -7 C 1.929688 -6.726562 1.789062 -6.375 1.6875 -5.9375 C 1.582031 -5.5 1.53125 -4.957031 1.53125 -4.3125 C 1.53125 -3.65625 1.582031 -3.109375 1.6875 -2.671875 C 1.789062 -2.234375 1.929688 -1.878906 2.109375 -1.609375 C 2.285156 -1.347656 2.492188 -1.160156 2.734375 -1.046875 C 2.972656 -0.929688 3.21875 -0.875 3.46875 -0.875 C 3.726562 -0.875 3.972656 -0.929688 4.203125 -1.046875 C 4.441406 -1.160156 4.648438 -1.347656 4.828125 -1.609375 C 5.015625 -1.878906 5.160156 -2.234375 5.265625 -2.671875 C 5.378906 -3.109375 5.4375 -3.65625 5.4375 -4.3125 Z M 5.4375 -4.3125 "/>
-</symbol>
-</g>
-</defs>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1451pt" height="290pt" viewBox="0 0 1451 290" version="1.1">
 <g id="surface101">
-<rect x="0" y="0" width="1451" height="281" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
+<rect x="0" y="0" width="1451" height="290" style="fill:rgb(100%,100%,100%);fill-opacity:1;stroke:none;"/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
@@ -55,46 +18,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="141.625652" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-2" x="236.731303" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-3" x="200.404177" y="54.353"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-4" x="82.847126" y="54.308"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-5" x="46.52" y="166.108399"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-6" x="141.625652" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-7" x="189.178477" y="150.657549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-8" x="171.014914" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-9" x="112.236389" y="94.80385"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="90.592826" y="150.705549"/>
-  <use xlink:href="#glyph-1496130-10" x="97.552826" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 441.382812 226.492188 L 524.355469 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 429.25 226.492188 L 346.277344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 435.316406 223.402344 L 435.316406 188.402344 "/>
@@ -111,46 +43,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 475.371094 146.351562 L 395.265625 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 458.636719 94.859375 L 393.832031 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 230.902344 C 442.816406 235.042969 439.460938 238.402344 435.316406 238.402344 C 431.175781 238.402344 427.816406 235.042969 427.816406 230.902344 C 427.816406 226.757812 431.175781 223.402344 435.316406 223.402344 C 439.460938 223.402344 442.816406 226.757812 442.816406 230.902344 Z M 442.816406 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="431.836955" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 537.921875 161.804688 C 537.921875 165.945312 534.566406 169.304688 530.421875 169.304688 C 526.28125 169.304688 522.921875 165.945312 522.921875 161.804688 C 522.921875 157.660156 526.28125 154.304688 530.421875 154.304688 C 534.566406 154.304688 537.921875 157.660156 537.921875 161.804688 Z M 537.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-2" x="526.942607" y="166.156399"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-3" x="490.61548" y="54.353"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 501.59375 50 C 501.59375 54.140625 498.238281 57.5 494.09375 57.5 C 489.953125 57.5 486.59375 54.140625 486.59375 50 C 486.59375 45.859375 489.953125 42.5 494.09375 42.5 C 498.238281 42.5 501.59375 45.859375 501.59375 50 Z M 501.59375 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 384.039062 50 C 384.039062 54.140625 380.679688 57.5 376.539062 57.5 C 372.394531 57.5 369.039062 54.140625 369.039062 50 C 369.039062 45.859375 372.394531 42.5 376.539062 42.5 C 380.679688 42.5 384.039062 45.859375 384.039062 50 Z M 384.039062 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-4" x="373.05843" y="54.308"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-5" x="336.731303" y="166.108399"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 347.710938 161.804688 C 347.710938 165.945312 344.351562 169.304688 340.210938 169.304688 C 336.070312 169.304688 332.710938 165.945312 332.710938 161.804688 C 332.710938 157.660156 336.070312 154.304688 340.210938 154.304688 C 344.351562 154.304688 347.710938 157.660156 347.710938 161.804688 Z M 347.710938 161.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 442.816406 180.902344 C 442.816406 185.042969 439.460938 188.402344 435.316406 188.402344 C 431.175781 188.402344 427.816406 185.042969 427.816406 180.902344 C 427.816406 176.757812 431.175781 173.402344 435.316406 173.402344 C 439.460938 173.402344 442.816406 176.757812 442.816406 180.902344 Z M 442.816406 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-6" x="431.836955" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 490.371094 146.351562 C 490.371094 150.496094 487.011719 153.851562 482.871094 153.851562 C 478.726562 153.851562 475.371094 150.496094 475.371094 146.351562 C 475.371094 142.210938 478.726562 138.851562 482.871094 138.851562 C 487.011719 138.851562 490.371094 142.210938 490.371094 146.351562 Z M 490.371094 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-7" x="479.389781" y="150.657549"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-8" x="461.226218" y="94.80385"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 472.207031 90.449219 C 472.207031 94.59375 468.847656 97.949219 464.707031 97.949219 C 460.5625 97.949219 457.207031 94.59375 457.207031 90.449219 C 457.207031 86.308594 460.5625 82.949219 464.707031 82.949219 C 468.847656 82.949219 472.207031 86.308594 472.207031 90.449219 Z M 472.207031 90.449219 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 413.425781 90.449219 C 413.425781 94.59375 410.070312 97.949219 405.925781 97.949219 C 401.785156 97.949219 398.425781 94.59375 398.425781 90.449219 C 398.425781 86.308594 401.785156 82.949219 405.925781 82.949219 C 410.070312 82.949219 413.425781 86.308594 413.425781 90.449219 Z M 413.425781 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-9" x="402.447692" y="94.80385"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="380.804129" y="150.705549"/>
-  <use xlink:href="#glyph-1496130-10" x="387.764129" y="150.705549"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 395.265625 146.351562 C 395.265625 150.496094 391.90625 153.851562 387.765625 153.851562 C 383.621094 153.851562 380.265625 150.496094 380.265625 146.351562 C 380.265625 142.210938 383.621094 138.851562 387.765625 138.851562 C 391.90625 138.851562 395.265625 142.210938 395.265625 146.351562 Z M 395.265625 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 731.597656 226.492188 L 814.566406 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 719.460938 226.492188 L 636.488281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 725.527344 223.402344 L 725.527344 188.402344 "/>
@@ -167,46 +68,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 765.582031 146.351562 L 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 748.851562 94.859375 L 684.042969 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 230.902344 C 733.027344 235.042969 729.671875 238.402344 725.527344 238.402344 C 721.386719 238.402344 718.027344 235.042969 718.027344 230.902344 C 718.027344 226.757812 721.386719 223.402344 725.527344 223.402344 C 729.671875 223.402344 733.027344 226.757812 733.027344 230.902344 Z M 733.027344 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="722.048258" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 828.132812 161.804688 C 828.132812 165.945312 824.777344 169.304688 820.632812 169.304688 C 816.492188 169.304688 813.132812 165.945312 813.132812 161.804688 C 813.132812 157.660156 816.492188 154.304688 820.632812 154.304688 C 824.777344 154.304688 828.132812 157.660156 828.132812 161.804688 Z M 828.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-2" x="817.15391" y="166.156399"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-3" x="780.826783" y="54.353"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 791.808594 50 C 791.808594 54.140625 788.449219 57.5 784.308594 57.5 C 780.164062 57.5 776.808594 54.140625 776.808594 50 C 776.808594 45.859375 780.164062 42.5 784.308594 42.5 C 788.449219 42.5 791.808594 45.859375 791.808594 50 Z M 791.808594 50 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 674.25 50 C 674.25 54.140625 670.890625 57.5 666.75 57.5 C 662.609375 57.5 659.25 54.140625 659.25 50 C 659.25 45.859375 662.609375 42.5 666.75 42.5 C 670.890625 42.5 674.25 45.859375 674.25 50 Z M 674.25 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-4" x="663.269733" y="54.308"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-5" x="626.942607" y="166.108399"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 637.921875 161.804688 C 637.921875 165.945312 634.566406 169.304688 630.421875 169.304688 C 626.28125 169.304688 622.921875 165.945312 622.921875 161.804688 C 622.921875 157.660156 626.28125 154.304688 630.421875 154.304688 C 634.566406 154.304688 637.921875 157.660156 637.921875 161.804688 Z M 637.921875 161.804688 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 733.027344 180.902344 C 733.027344 185.042969 729.671875 188.402344 725.527344 188.402344 C 721.386719 188.402344 718.027344 185.042969 718.027344 180.902344 C 718.027344 176.757812 721.386719 173.402344 725.527344 173.402344 C 729.671875 173.402344 733.027344 176.757812 733.027344 180.902344 Z M 733.027344 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-6" x="722.048258" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 780.582031 146.351562 C 780.582031 150.496094 777.222656 153.851562 773.082031 153.851562 C 768.9375 153.851562 765.582031 150.496094 765.582031 146.351562 C 765.582031 142.210938 768.9375 138.851562 773.082031 138.851562 C 777.222656 138.851562 780.582031 142.210938 780.582031 146.351562 Z M 780.582031 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-7" x="769.601084" y="150.657549"/>
-</g>
-<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-8" x="751.437521" y="94.80385"/>
-</g>
+<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 762.417969 90.449219 C 762.417969 94.59375 759.058594 97.949219 754.917969 97.949219 C 750.773438 97.949219 747.417969 94.59375 747.417969 90.449219 C 747.417969 86.308594 750.773438 82.949219 754.917969 82.949219 C 759.058594 82.949219 762.417969 86.308594 762.417969 90.449219 Z M 762.417969 90.449219 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 703.640625 90.449219 C 703.640625 94.59375 700.28125 97.949219 696.140625 97.949219 C 691.996094 97.949219 688.640625 94.59375 688.640625 90.449219 C 688.640625 86.308594 691.996094 82.949219 696.140625 82.949219 C 700.28125 82.949219 703.640625 86.308594 703.640625 90.449219 Z M 703.640625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-9" x="692.658996" y="94.80385"/>
-</g>
-<path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="671.015432" y="150.705549"/>
-  <use xlink:href="#glyph-1496130-10" x="677.975432" y="150.705549"/>
-</g>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 685.476562 146.351562 C 685.476562 150.496094 682.117188 153.851562 677.976562 153.851562 C 673.832031 153.851562 670.476562 150.496094 670.476562 146.351562 C 670.476562 142.210938 673.832031 138.851562 677.976562 138.851562 C 682.117188 138.851562 685.476562 142.210938 685.476562 146.351562 Z M 685.476562 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1021.808594 226.492188 L 1104.777344 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1009.671875 226.492188 L 926.703125 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1015.738281 223.402344 L 1015.738281 188.402344 "/>
@@ -223,46 +93,15 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1055.792969 146.351562 L 975.6875 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1039.0625 94.859375 L 974.253906 141.945312 "/>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 230.902344 C 1023.238281 235.042969 1019.882812 238.402344 1015.738281 238.402344 C 1011.597656 238.402344 1008.238281 235.042969 1008.238281 230.902344 C 1008.238281 226.757812 1011.597656 223.402344 1015.738281 223.402344 C 1019.882812 223.402344 1023.238281 226.757812 1023.238281 230.902344 Z M 1023.238281 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="1012.259561" y="235.215699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1118.34375 161.804688 C 1118.34375 165.945312 1114.988281 169.304688 1110.84375 169.304688 C 1106.703125 169.304688 1103.34375 165.945312 1103.34375 161.804688 C 1103.34375 157.660156 1106.703125 154.304688 1110.84375 154.304688 C 1114.988281 154.304688 1118.34375 157.660156 1118.34375 161.804688 Z M 1118.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-2" x="1107.365213" y="166.156399"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1082.019531 50 C 1082.019531 54.140625 1078.660156 57.5 1074.519531 57.5 C 1070.375 57.5 1067.019531 54.140625 1067.019531 50 C 1067.019531 45.859375 1070.375 42.5 1074.519531 42.5 C 1078.660156 42.5 1082.019531 45.859375 1082.019531 50 Z M 1082.019531 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-3" x="1071.038087" y="54.353"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 964.460938 50 C 964.460938 54.140625 961.101562 57.5 956.960938 57.5 C 952.820312 57.5 949.460938 54.140625 949.460938 50 C 949.460938 45.859375 952.820312 42.5 956.960938 42.5 C 961.101562 42.5 964.460938 45.859375 964.460938 50 Z M 964.460938 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-4" x="953.481036" y="54.308"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 928.132812 161.804688 C 928.132812 165.945312 924.777344 169.304688 920.632812 169.304688 C 916.492188 169.304688 913.132812 165.945312 913.132812 161.804688 C 913.132812 157.660156 916.492188 154.304688 920.632812 154.304688 C 924.777344 154.304688 928.132812 157.660156 928.132812 161.804688 Z M 928.132812 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-5" x="917.15391" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1023.238281 180.902344 C 1023.238281 185.042969 1019.882812 188.402344 1015.738281 188.402344 C 1011.597656 188.402344 1008.238281 185.042969 1008.238281 180.902344 C 1008.238281 176.757812 1011.597656 173.402344 1015.738281 173.402344 C 1019.882812 173.402344 1023.238281 176.757812 1023.238281 180.902344 Z M 1023.238281 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-6" x="1012.259561" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1070.792969 146.351562 C 1070.792969 150.496094 1067.433594 153.851562 1063.292969 153.851562 C 1059.148438 153.851562 1055.792969 150.496094 1055.792969 146.351562 C 1055.792969 142.210938 1059.148438 138.851562 1063.292969 138.851562 C 1067.433594 138.851562 1070.792969 142.210938 1070.792969 146.351562 Z M 1070.792969 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-7" x="1059.812387" y="150.657549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1052.628906 90.449219 C 1052.628906 94.59375 1049.269531 97.949219 1045.128906 97.949219 C 1040.988281 97.949219 1037.628906 94.59375 1037.628906 90.449219 C 1037.628906 86.308594 1040.988281 82.949219 1045.128906 82.949219 C 1049.269531 82.949219 1052.628906 86.308594 1052.628906 90.449219 Z M 1052.628906 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-8" x="1041.648824" y="94.80385"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 993.851562 90.449219 C 993.851562 94.59375 990.492188 97.949219 986.351562 97.949219 C 982.207031 97.949219 978.851562 94.59375 978.851562 90.449219 C 978.851562 86.308594 982.207031 82.949219 986.351562 82.949219 C 990.492188 82.949219 993.851562 86.308594 993.851562 90.449219 Z M 993.851562 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-9" x="982.870299" y="94.80385"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 975.6875 146.351562 C 975.6875 150.496094 972.328125 153.851562 968.1875 153.851562 C 964.042969 153.851562 960.6875 150.496094 960.6875 146.351562 C 960.6875 142.210938 964.042969 138.851562 968.1875 138.851562 C 972.328125 138.851562 975.6875 142.210938 975.6875 146.351562 Z M 975.6875 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="961.226736" y="150.705549"/>
-  <use xlink:href="#glyph-1496130-10" x="968.186736" y="150.705549"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1312.019531 226.492188 L 1394.988281 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1299.882812 226.492188 L 1216.914062 166.210938 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1305.949219 223.402344 L 1305.949219 188.402344 "/>
@@ -279,45 +118,14 @@
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1346.003906 146.351562 L 1265.898438 146.351562 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1329.273438 94.859375 L 1264.464844 141.945312 "/>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 230.902344 C 1313.449219 235.042969 1310.09375 238.402344 1305.949219 238.402344 C 1301.808594 238.402344 1298.449219 235.042969 1298.449219 230.902344 C 1298.449219 226.757812 1301.808594 223.402344 1305.949219 223.402344 C 1310.09375 223.402344 1313.449219 226.757812 1313.449219 230.902344 Z M 1313.449219 230.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="1302.470865" y="235.215699"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1408.554688 161.804688 C 1408.554688 165.945312 1405.199219 169.304688 1401.054688 169.304688 C 1396.914062 169.304688 1393.554688 165.945312 1393.554688 161.804688 C 1393.554688 157.660156 1396.914062 154.304688 1401.054688 154.304688 C 1405.199219 154.304688 1408.554688 157.660156 1408.554688 161.804688 Z M 1408.554688 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-2" x="1397.576516" y="166.156399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1372.230469 50 C 1372.230469 54.140625 1368.871094 57.5 1364.730469 57.5 C 1360.585938 57.5 1357.230469 54.140625 1357.230469 50 C 1357.230469 45.859375 1360.585938 42.5 1364.730469 42.5 C 1368.871094 42.5 1372.230469 45.859375 1372.230469 50 Z M 1372.230469 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-3" x="1361.24939" y="54.353"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1254.671875 50 C 1254.671875 54.140625 1251.316406 57.5 1247.171875 57.5 C 1243.03125 57.5 1239.671875 54.140625 1239.671875 50 C 1239.671875 45.859375 1243.03125 42.5 1247.171875 42.5 C 1251.316406 42.5 1254.671875 45.859375 1254.671875 50 Z M 1254.671875 50 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-4" x="1243.692339" y="54.308"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1218.34375 161.804688 C 1218.34375 165.945312 1214.988281 169.304688 1210.84375 169.304688 C 1206.703125 169.304688 1203.34375 165.945312 1203.34375 161.804688 C 1203.34375 157.660156 1206.703125 154.304688 1210.84375 154.304688 C 1214.988281 154.304688 1218.34375 157.660156 1218.34375 161.804688 Z M 1218.34375 161.804688 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-5" x="1207.365213" y="166.108399"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1313.449219 180.902344 C 1313.449219 185.042969 1310.09375 188.402344 1305.949219 188.402344 C 1301.808594 188.402344 1298.449219 185.042969 1298.449219 180.902344 C 1298.449219 176.757812 1301.808594 173.402344 1305.949219 173.402344 C 1310.09375 173.402344 1313.449219 176.757812 1313.449219 180.902344 Z M 1313.449219 180.902344 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-6" x="1302.470865" y="185.206699"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1361.003906 146.351562 C 1361.003906 150.496094 1357.644531 153.851562 1353.503906 153.851562 C 1349.363281 153.851562 1346.003906 150.496094 1346.003906 146.351562 C 1346.003906 142.210938 1349.363281 138.851562 1353.503906 138.851562 C 1357.644531 138.851562 1361.003906 142.210938 1361.003906 146.351562 Z M 1361.003906 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-7" x="1350.02369" y="150.657549"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1342.839844 90.449219 C 1342.839844 94.59375 1339.480469 97.949219 1335.339844 97.949219 C 1331.199219 97.949219 1327.839844 94.59375 1327.839844 90.449219 C 1327.839844 86.308594 1331.199219 82.949219 1335.339844 82.949219 C 1339.480469 82.949219 1342.839844 86.308594 1342.839844 90.449219 Z M 1342.839844 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-8" x="1331.860127" y="94.80385"/>
-</g>
 <path style="fill-rule:nonzero;fill:rgb(100%,0%,0%);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1284.0625 90.449219 C 1284.0625 94.59375 1280.703125 97.949219 1276.5625 97.949219 C 1272.417969 97.949219 1269.0625 94.59375 1269.0625 90.449219 C 1269.0625 86.308594 1272.417969 82.949219 1276.5625 82.949219 C 1280.703125 82.949219 1284.0625 86.308594 1284.0625 90.449219 Z M 1284.0625 90.449219 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-9" x="1273.081602" y="94.80385"/>
-</g>
 <path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;" d="M 1265.898438 146.351562 C 1265.898438 150.496094 1262.539062 153.851562 1258.398438 153.851562 C 1254.257812 153.851562 1250.898438 150.496094 1250.898438 146.351562 C 1250.898438 142.210938 1254.257812 138.851562 1258.398438 138.851562 C 1262.539062 138.851562 1265.898438 142.210938 1265.898438 146.351562 Z M 1265.898438 146.351562 "/>
-<g style="fill:rgb(0%,0%,0%);fill-opacity:1;">
-  <use xlink:href="#glyph-1496130-1" x="1251.438039" y="150.705549"/>
-  <use xlink:href="#glyph-1496130-10" x="1258.398039" y="150.705549"/>
-</g>
 </g>
 </svg>
diff --git a/dev/generated/weighted/index.html b/dev/generated/weighted/index.html
index fa8bd850..6bffb90d 100644
--- a/dev/generated/weighted/index.html
+++ b/dev/generated/weighted/index.html
@@ -6,7 +6,38 @@
 locations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]
 
 show_graph(graph; locs=locations, format=:svg, vertex_colors=
-          [iszero(max_config_weighted.c.data[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)])</code></pre><img src="b95f3e0a.svg" alt="Example block output"/><p>The only solution space property that can not be defined for general real-weighted (not including integer-weighted) graphs is the <a href="../../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a>.</p><p>For the weighted MIS problem, a useful solution space property is the &quot;energy spectrum&quot;, i.e. the largest several configurations and their weights. We can use the solution space property is <a href="../../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a><code>(10)</code> to compute the largest 10 weights.</p><pre><code class="language-julia hljs">spectrum = solve(problem, SizeMax(10))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">ExtendedTropical{10, Tropical{Float64}}(Tropical{Float64}[20.0ₜ, 20.0ₜ, 20.0ₜ, 21.0ₜ, 21.0ₜ, 22.0ₜ, 22.0ₜ, 22.0ₜ, 23.0ₜ, 24.0ₜ])</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a>, which contains one field <code>orders</code>.</p><pre><code class="language-julia hljs">spectrum.orders</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">10-element Vector{Tropical{Float64}}:
+          [iszero(max_config_weighted.c.data[i]) ? &quot;white&quot; : &quot;red&quot; for i=1:nv(graph)])</code></pre><img src='data:image/svg+xml;utf-8,<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="290pt" height="281pt" viewBox="0 0 290 281" version="1.1">
+<g id="surface96">
+<rect x="0" y="0" width="290" height="281" style="fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke:none;"/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 151.171875 226.492188 L 234.144531 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 139.039062 226.492188 L 56.066406 166.210938 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 145.105469 223.402344 L 145.105469 188.402344 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 237.894531 154.671875 L 206.203125 57.132812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 233.078125 159.484375 L 199.792969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 196.382812 50 L 93.828125 50 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 199.476562 56.066406 L 178.902344 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 84.007812 57.132812 L 52.316406 154.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 90.734375 56.066406 L 111.308594 84.382812 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.132812 159.484375 L 90.417969 148.671875 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 147.421875 173.769531 L 172.175781 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 142.789062 173.769531 L 118.035156 97.582031 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 186.589844 141.945312 L 121.785156 94.859375 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 185.160156 146.351562 L 105.054688 146.351562 "/>
+<path style="fill:none;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 168.425781 94.859375 L 103.621094 141.945312 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 230.902344 C 152.605469 235.042969 149.246094 238.402344 145.105469 238.402344 C 140.964844 238.402344 137.605469 235.042969 137.605469 230.902344 C 137.605469 226.757812 140.964844 223.402344 145.105469 223.402344 C 149.246094 223.402344 152.605469 226.757812 152.605469 230.902344 Z M 152.605469 230.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 247.710938 161.804688 C 247.710938 165.945312 244.351562 169.304688 240.210938 169.304688 C 236.070312 169.304688 232.710938 165.945312 232.710938 161.804688 C 232.710938 157.660156 236.070312 154.304688 240.210938 154.304688 C 244.351562 154.304688 247.710938 157.660156 247.710938 161.804688 Z M 247.710938 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 211.382812 50 C 211.382812 54.140625 208.027344 57.5 203.882812 57.5 C 199.742188 57.5 196.382812 54.140625 196.382812 50 C 196.382812 45.859375 199.742188 42.5 203.882812 42.5 C 208.027344 42.5 211.382812 45.859375 211.382812 50 Z M 211.382812 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 93.828125 50 C 93.828125 54.140625 90.46875 57.5 86.328125 57.5 C 82.183594 57.5 78.828125 54.140625 78.828125 50 C 78.828125 45.859375 82.183594 42.5 86.328125 42.5 C 90.46875 42.5 93.828125 45.859375 93.828125 50 Z M 93.828125 50 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 57.5 161.804688 C 57.5 165.945312 54.140625 169.304688 50 169.304688 C 45.859375 169.304688 42.5 165.945312 42.5 161.804688 C 42.5 157.660156 45.859375 154.304688 50 154.304688 C 54.140625 154.304688 57.5 157.660156 57.5 161.804688 Z M 57.5 161.804688 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 152.605469 180.902344 C 152.605469 185.042969 149.246094 188.402344 145.105469 188.402344 C 140.964844 188.402344 137.605469 185.042969 137.605469 180.902344 C 137.605469 176.757812 140.964844 173.402344 145.105469 173.402344 C 149.246094 173.402344 152.605469 176.757812 152.605469 180.902344 Z M 152.605469 180.902344 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 200.160156 146.351562 C 200.160156 150.496094 196.800781 153.851562 192.660156 153.851562 C 188.515625 153.851562 185.160156 150.496094 185.160156 146.351562 C 185.160156 142.210938 188.515625 138.851562 192.660156 138.851562 C 196.800781 138.851562 200.160156 142.210938 200.160156 146.351562 Z M 200.160156 146.351562 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 181.996094 90.449219 C 181.996094 94.59375 178.636719 97.949219 174.496094 97.949219 C 170.351562 97.949219 166.996094 94.59375 166.996094 90.449219 C 166.996094 86.308594 170.351562 82.949219 174.496094 82.949219 C 178.636719 82.949219 181.996094 86.308594 181.996094 90.449219 Z M 181.996094 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,0%25,0%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 123.214844 90.449219 C 123.214844 94.59375 119.859375 97.949219 115.714844 97.949219 C 111.574219 97.949219 108.214844 94.59375 108.214844 90.449219 C 108.214844 86.308594 111.574219 82.949219 115.714844 82.949219 C 119.859375 82.949219 123.214844 86.308594 123.214844 90.449219 Z M 123.214844 90.449219 "/>
+<path style="fill-rule:nonzero;fill:rgb(100%25,100%25,100%25);fill-opacity:1;stroke-width:1;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%25,0%25,0%25);stroke-opacity:1;stroke-miterlimit:10;" d="M 105.054688 146.351562 C 105.054688 150.496094 101.695312 153.851562 97.554688 153.851562 C 93.410156 153.851562 90.054688 150.496094 90.054688 146.351562 C 90.054688 142.210938 93.410156 138.851562 97.554688 138.851562 C 101.695312 138.851562 105.054688 142.210938 105.054688 146.351562 Z M 105.054688 146.351562 "/>
+</g>
+</svg>
+'/><p>The only solution space property that can not be defined for general real-weighted (not including integer-weighted) graphs is the <a href="../../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a>.</p><p>For the weighted MIS problem, a useful solution space property is the &quot;energy spectrum&quot;, i.e. the largest several configurations and their weights. We can use the solution space property is <a href="../../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a><code>(10)</code> to compute the largest 10 weights.</p><pre><code class="language-julia hljs">spectrum = solve(problem, SizeMax(10))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">ExtendedTropical{10, Tropical{Float64}}(Tropical{Float64}[20.0ₜ, 20.0ₜ, 20.0ₜ, 21.0ₜ, 21.0ₜ, 22.0ₜ, 22.0ₜ, 22.0ₜ, 23.0ₜ, 24.0ₜ])</code></pre><p>The return value has type <a href="../../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a>, which contains one field <code>orders</code>.</p><pre><code class="language-julia hljs">spectrum.orders</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">10-element Vector{Tropical{Float64}}:
  20.0ₜ
  20.0ₜ
  20.0ₜ
@@ -16,9 +47,9 @@
  22.0ₜ
  22.0ₜ
  23.0ₜ
- 24.0ₜ</code></pre><p>We can see the <code>order</code> is a vector of <a href="../../ref/#TropicalNumbers.Tropical"><code>Tropical</code></a> numbers. Similarly, we can get weighted independent sets with maximum 5 sizes as follows.</p><pre><code class="language-julia hljs">max5_configs = solve(problem, SingleConfigMax(5))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">ExtendedTropical{5, CountingTropical{Float64, ConfigSampler{10, 1, 1}}}(CountingTropical{Float64, ConfigSampler{10, 1, 1}}[(22.0, ConfigSampler{10, 1, 1}(0101010001))ₜ, (22.0, ConfigSampler{10, 1, 1}(0000100110))ₜ, (22.0, ConfigSampler{10, 1, 1}(0010000011))ₜ, (23.0, ConfigSampler{10, 1, 1}(1010000011))ₜ, (24.0, ConfigSampler{10, 1, 1}(0100100110))ₜ])</code></pre><p>The return value also has type <a href="../../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a>, but this time the element type of <code>orders</code> has been changed to <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,</code><a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a><code>}</code>.</p><pre><code class="language-julia hljs">max5_configs.orders</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">5-element Vector{CountingTropical{Float64, ConfigSampler{10, 1, 1}}}:
+ 24.0ₜ</code></pre><p>We can see the <code>order</code> is a vector of <a href="../../ref/#TropicalNumbers.Tropical"><code>Tropical</code></a> numbers. Similarly, we can get weighted independent sets with maximum 5 sizes as follows.</p><pre><code class="language-julia hljs">max5_configs = solve(problem, SingleConfigMax(5))[]</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">ExtendedTropical{5, CountingTropical{Float64, ConfigSampler{10, 1, 1}}}(CountingTropical{Float64, ConfigSampler{10, 1, 1}}[(22.0, ConfigSampler{10, 1, 1}(0101010001))ₜ, (22.0, ConfigSampler{10, 1, 1}(0010000011))ₜ, (22.0, ConfigSampler{10, 1, 1}(0000100110))ₜ, (23.0, ConfigSampler{10, 1, 1}(1010000011))ₜ, (24.0, ConfigSampler{10, 1, 1}(0100100110))ₜ])</code></pre><p>The return value also has type <a href="../../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a>, but this time the element type of <code>orders</code> has been changed to <a href="../../ref/#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,</code><a href="../../ref/#GenericTensorNetworks.ConfigSampler"><code>ConfigSampler</code></a><code>}</code>.</p><pre><code class="language-julia hljs">max5_configs.orders</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">5-element Vector{CountingTropical{Float64, ConfigSampler{10, 1, 1}}}:
  (22.0, ConfigSampler{10, 1, 1}(0101010001))ₜ
- (22.0, ConfigSampler{10, 1, 1}(0000100110))ₜ
  (22.0, ConfigSampler{10, 1, 1}(0010000011))ₜ
+ (22.0, ConfigSampler{10, 1, 1}(0000100110))ₜ
  (23.0, ConfigSampler{10, 1, 1}(1010000011))ₜ
- (24.0, ConfigSampler{10, 1, 1}(0100100110))ₜ</code></pre><p>Let us visually check these configurations</p><pre><code class="language-julia hljs">show_gallery(graph, (1, 5); locs=locations, format=:svg, vertex_configs=[max5_configs.orders[k].c.data for k=1:5])</code></pre><img src="273e3eea.svg" alt="Example block output"/><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../sumproduct/">« Sum product tree representation</a><a class="docs-footer-nextpage" href="../open/">Open and fixed degrees of freedom »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+ (24.0, ConfigSampler{10, 1, 1}(0100100110))ₜ</code></pre><p>Let us visually check these configurations</p><pre><code class="language-julia hljs">show_gallery(graph, (1, 5); locs=locations, format=:svg, vertex_configs=[max5_configs.orders[k].c.data for k=1:5])</code></pre><img src="e47c6a53.svg" alt="Example block output"/><hr/><p><em>This page was generated using <a href="https://github.com/fredrikekre/Literate.jl">Literate.jl</a>.</em></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../../sumproduct/">« Sum product tree representation</a><a class="docs-footer-nextpage" href="../open/">Open and fixed degrees of freedom »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/gist/index.html b/dev/gist/index.html
index 9cd9b7d1..34732ff9 100644
--- a/dev/gist/index.html
+++ b/dev/gist/index.html
@@ -112,4 +112,4 @@
 println(&quot;one of the optimal configurations is $(mis_config(optimized_code; all=false)[].c.data)&quot;)
 
 # direct enumeration of configurations can be very slow; please check the bounding version in our Github repo.
-println(&quot;all optimal configurations are $(mis_config(optimized_code; all=true)[].c)&quot;)</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/HyperSpinGlass/">« Hyper Spin glass problem</a><a class="docs-footer-nextpage" href="../generated/saveload/">Save and load solutions »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+println(&quot;all optimal configurations are $(mis_config(optimized_code; all=true)[].c)&quot;)</code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/HyperSpinGlass/">« Hyper Spin glass problem</a><a class="docs-footer-nextpage" href="../generated/saveload/">Save and load solutions »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/index.html b/dev/index.html
index 0bbc5269..45d1d08d 100644
--- a/dev/index.html
+++ b/dev/index.html
@@ -17,4 +17,4 @@
 0-dimensional Array{Polynomial{BigInt, :x}, 0}:
 Polynomial(1 + 20*x + 160*x^2 + 659*x^3 + 1500*x^4 + 1883*x^5 + 1223*x^6 + 347*x^7 + 25*x^8)</code></pre><p>Here the main function <a href="ref/#GenericTensorNetworks.solve"><code>solve</code></a> takes three input arguments, the problem instance of type <a href="ref/#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a>, the property instance of type <a href="ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a> and an optional key word argument <code>usecuda</code> to decide use GPU or not. If one wants to use GPU to accelerate the computation, the <code>using CUDA</code> statement must uncommented.</p><p>The problem instance takes four arguments to initialize, the only positional argument is the graph instance that one wants to solve, the key word argument <code>optimizer</code> is for specifying the tensor network optimization algorithm, the key word argument <code>weights</code> is for specifying the weights of vertices as either a vector or <code>NoWeight()</code>. The keyword argument <code>openvertices</code> is a tuple of labels for specifying the degrees of freedom not summed over, and <code>fixedvertices</code> is a label-value dictionary for specifying the fixed values of the degree of freedoms. Here, we use <a href="ref/#OMEinsumContractionOrders.TreeSA"><code>TreeSA</code></a> method as the tensor network optimizer, and leave <code>weights</code> and <code>openvertices</code> the default values. The <a href="ref/#OMEinsumContractionOrders.TreeSA"><code>TreeSA</code></a> method finds the best contraction order in most of our applications, while the default <a href="ref/#OMEinsumContractionOrders.GreedyMethod"><code>GreedyMethod</code></a> runs the fastest.</p><p>The first execution of this function will be a bit slow due to Julia&#39;s just in time compiling. The subsequent runs will be fast. The following diagram lists possible combinations of input arguments, where functions in the <code>Graph</code> are mainly defined in the package <a href="https://github.com/JuliaGraphs/Graphs.jl">Graphs</a>, and the rest can be found in this package.</p><div align=center>
 <img src="assets/fig7.svg" width="75%"/>
-</div><p>⠀ You can find many examples in this documentation, a good one to start with is <a href="generated/IndependentSet/#Independent-set-problem">Independent set problem</a>.</p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="generated/IndependentSet/">Independent set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+</div><p>⠀ You can find many examples in this documentation, a good one to start with is <a href="generated/IndependentSet/#Independent-set-problem">Independent set problem</a>.</p></article><nav class="docs-footer"><a class="docs-footer-nextpage" href="generated/IndependentSet/">Independent set problem »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/performancetips/index.html b/dev/performancetips/index.html
index 9485fab0..f19973cf 100644
--- a/dev/performancetips/index.html
+++ b/dev/performancetips/index.html
@@ -80,4 +80,4 @@
 
 julia&gt; solve(problem, SizeMax(), usecuda=true)
 0-dimensional CuArray{TropicalF64, 0, CUDA.Mem.DeviceBuffer}:
-53.0ₜ</code></pre><p>Solution space properties computable on GPU includes</p><ul><li><a href="../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a> and <a href="../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a></li><li><a href="../ref/#GenericTensorNetworks.CountingAll"><code>CountingAll</code></a></li><li><a href="../ref/#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a> and <a href="../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a></li><li><a href="../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a></li><li><a href="../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a> and <a href="../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a></li></ul><h2 id="Benchmarks"><a class="docs-heading-anchor" href="#Benchmarks">Benchmarks</a><a id="Benchmarks-1"></a><a class="docs-heading-anchor-permalink" href="#Benchmarks" title="Permalink"></a></h2><p>We run a single thread benchmark on central processing units (CPU) Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz, and its CUDA version on a GPU Tesla V100-SXM2 16G. The results are summarized in the following plot. The benchmark code can be found in <a href="https://github.com/GiggleLiu/NoteOnTropicalMIS/tree/master/benchmarks">our paper repository</a>.</p><p><img src="../assets/fig1.png" alt="benchmark-independent-set"/> This benchmark results is for computing different solution space properties of independent sets of random three-regular graphs with different tensor element types. The time in these plots only includes tensor network contraction, without taking into account the contraction order finding and just-in-time compilation time. Legends are properties, algebra, and devices that we used in the computation; one can find the corresponding computed solution space property in Table 1 in the <a href="https://arxiv.org/abs/2205.03718">paper</a>.</p><ul><li>(a) time and space complexity versus the number of vertices for the benchmarked graphs.</li><li>(b) The computation time for calculating the MIS size and for counting the number of all independent sets (ISs), the number of MISs, the number of independent sets having size <span>$\alpha(G)$</span> and <span>$\alpha(G)-1$</span>, and finding 100 largest set sizes.</li><li>(c) The computation time for calculating the independence polynomials with different approaches.</li><li>(d) The computation time for configuration enumeration, including single MIS configuration, the enumeration of all independent set configurations, all MIS configurations, all independent sets, and all independent set configurations having size <span>$\alpha(G)$</span> and <span>$\alpha(G)-1$</span>.</li></ul><p>The graphs in all benchmarks are random three-regular graphs, which have treewidth that is asymptotically smaller than <span>$|V|/6$</span>. In this benchmark, we do not include traditional algorithms for finding the MIS sizes such as branching or dynamic programming. To the best of our knowledge, these algorithms are not suitable for computing most of the solution space properties mentioned in this paper. The main goal of this section is to show the relative computation time for calculating different solution space properties.</p><p>Panel (a) shows the time and space complexity of tensor network contraction for different graph sizes. The contraction order is obtained using the <code>TreeSA</code> algorithm that implemented in <a href="https://github.com/TensorBFS/OMEinsumContractionOrders.jl">OMEinsumContractionOrders</a>. If we assume our contraction-order finding program has found the optimal treewidth, which is very likely to be true, the space complexity is the same as the treewidth of the problem graph. Slicing technique has been used for graphs with space complexity greater than <span>$2^{27}$</span> (above the yellow dashed line) to fit the computation into a 16GB memory. One can see that all the computation times in panels (b), (c), and (d) have a strong correlation with the predicted time and space complexity. While in panel (d), the computation time of configuration enumeration also strongly correlates with other factors such as the configuration space size. Among these benchmarks, computational tasks with data types real numbers, complex numbers, or <a href="../ref/#TropicalNumbers.Tropical"><code>Tropical</code></a> numbers (CPU only) can utilize fast basic linear algebra subprograms (BLAS) functions. These tasks usually compute much faster than ones with other element types in the same category. Immutable data types with no reference to other values can be compiled to GPU devices that run much faster than CPUs in all cases when the problem scale is big enough. These data types do not include those defined in <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a>, <a href="../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>, <a href="../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> and <a href="../ref/#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> or a data type containing them as a part. In panel (c), one can see the Fourier transformation-based method is the fastest in computing the independence polynomial, but it may suffer from round-off errors. The finite field (GF(p)) approach is the only method that does not have round-off errors and can be run on a GPU. In panel (d), one can see the technique to bound the enumeration space (see paper) improves the performance for more than one order of magnitude in enumerating the MISs. The bounding technique can also reduce the memory usage significantly, without which the largest computable graph size is only <span>$\sim150$</span> on a device with 32GB main memory.</p><p>We show the benchmark of computing the maximal independent set properties on 3-regular graphs in the following plot, including a comparison to the Bron-Kerbosch algorithm from Julia package <a href="https://github.com/JuliaGraphs/Graphs.jl">Graphs</a></p><p><img src="../assets/fig2.png" alt="benchmark-maximal-independent-set"/></p><p>In this plot, benchmarks of computing different solution space properties of the maximal independent sets (ISs) problem on random three regular graphs at different sizes.</p><ul><li>(a) time and space complexity of tensor network contraction.</li><li>(b) The wall clock time for counting and enumeration of maximal ISs.</li></ul><p>Panel (a) shows the space and time complexities of tensor contraction, which are typically larger than those for the independent set problem. In panel (b), one can see counting maximal independent sets are much more efficient than enumerating them, while our generic tensor network approach runs slightly faster than the Bron-Kerbosch approach in enumerating all maximal independent sets.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/open/">« Open and fixed degrees of freedom</a><a class="docs-footer-nextpage" href="../ref/">References »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+53.0ₜ</code></pre><p>Solution space properties computable on GPU includes</p><ul><li><a href="../ref/#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a> and <a href="../ref/#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a></li><li><a href="../ref/#GenericTensorNetworks.CountingAll"><code>CountingAll</code></a></li><li><a href="../ref/#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a> and <a href="../ref/#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a></li><li><a href="../ref/#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a></li><li><a href="../ref/#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a> and <a href="../ref/#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a></li></ul><h2 id="Benchmarks"><a class="docs-heading-anchor" href="#Benchmarks">Benchmarks</a><a id="Benchmarks-1"></a><a class="docs-heading-anchor-permalink" href="#Benchmarks" title="Permalink"></a></h2><p>We run a single thread benchmark on central processing units (CPU) Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz, and its CUDA version on a GPU Tesla V100-SXM2 16G. The results are summarized in the following plot. The benchmark code can be found in <a href="https://github.com/GiggleLiu/NoteOnTropicalMIS/tree/master/benchmarks">our paper repository</a>.</p><p><img src="../assets/fig1.png" alt="benchmark-independent-set"/> This benchmark results is for computing different solution space properties of independent sets of random three-regular graphs with different tensor element types. The time in these plots only includes tensor network contraction, without taking into account the contraction order finding and just-in-time compilation time. Legends are properties, algebra, and devices that we used in the computation; one can find the corresponding computed solution space property in Table 1 in the <a href="https://arxiv.org/abs/2205.03718">paper</a>.</p><ul><li>(a) time and space complexity versus the number of vertices for the benchmarked graphs.</li><li>(b) The computation time for calculating the MIS size and for counting the number of all independent sets (ISs), the number of MISs, the number of independent sets having size <span>$\alpha(G)$</span> and <span>$\alpha(G)-1$</span>, and finding 100 largest set sizes.</li><li>(c) The computation time for calculating the independence polynomials with different approaches.</li><li>(d) The computation time for configuration enumeration, including single MIS configuration, the enumeration of all independent set configurations, all MIS configurations, all independent sets, and all independent set configurations having size <span>$\alpha(G)$</span> and <span>$\alpha(G)-1$</span>.</li></ul><p>The graphs in all benchmarks are random three-regular graphs, which have treewidth that is asymptotically smaller than <span>$|V|/6$</span>. In this benchmark, we do not include traditional algorithms for finding the MIS sizes such as branching or dynamic programming. To the best of our knowledge, these algorithms are not suitable for computing most of the solution space properties mentioned in this paper. The main goal of this section is to show the relative computation time for calculating different solution space properties.</p><p>Panel (a) shows the time and space complexity of tensor network contraction for different graph sizes. The contraction order is obtained using the <code>TreeSA</code> algorithm that implemented in <a href="https://github.com/TensorBFS/OMEinsumContractionOrders.jl">OMEinsumContractionOrders</a>. If we assume our contraction-order finding program has found the optimal treewidth, which is very likely to be true, the space complexity is the same as the treewidth of the problem graph. Slicing technique has been used for graphs with space complexity greater than <span>$2^{27}$</span> (above the yellow dashed line) to fit the computation into a 16GB memory. One can see that all the computation times in panels (b), (c), and (d) have a strong correlation with the predicted time and space complexity. While in panel (d), the computation time of configuration enumeration also strongly correlates with other factors such as the configuration space size. Among these benchmarks, computational tasks with data types real numbers, complex numbers, or <a href="../ref/#TropicalNumbers.Tropical"><code>Tropical</code></a> numbers (CPU only) can utilize fast basic linear algebra subprograms (BLAS) functions. These tasks usually compute much faster than ones with other element types in the same category. Immutable data types with no reference to other values can be compiled to GPU devices that run much faster than CPUs in all cases when the problem scale is big enough. These data types do not include those defined in <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a>, <a href="../ref/#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>, <a href="../ref/#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> and <a href="../ref/#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> or a data type containing them as a part. In panel (c), one can see the Fourier transformation-based method is the fastest in computing the independence polynomial, but it may suffer from round-off errors. The finite field (GF(p)) approach is the only method that does not have round-off errors and can be run on a GPU. In panel (d), one can see the technique to bound the enumeration space (see paper) improves the performance for more than one order of magnitude in enumerating the MISs. The bounding technique can also reduce the memory usage significantly, without which the largest computable graph size is only <span>$\sim150$</span> on a device with 32GB main memory.</p><p>We show the benchmark of computing the maximal independent set properties on 3-regular graphs in the following plot, including a comparison to the Bron-Kerbosch algorithm from Julia package <a href="https://github.com/JuliaGraphs/Graphs.jl">Graphs</a></p><p><img src="../assets/fig2.png" alt="benchmark-maximal-independent-set"/></p><p>In this plot, benchmarks of computing different solution space properties of the maximal independent sets (ISs) problem on random three regular graphs at different sizes.</p><ul><li>(a) time and space complexity of tensor network contraction.</li><li>(b) The wall clock time for counting and enumeration of maximal ISs.</li></ul><p>Panel (a) shows the space and time complexities of tensor contraction, which are typically larger than those for the independent set problem. In panel (b), one can see counting maximal independent sets are much more efficient than enumerating them, while our generic tensor network approach runs slightly faster than the Bron-Kerbosch approach in enumerating all maximal independent sets.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/open/">« Open and fixed degrees of freedom</a><a class="docs-footer-nextpage" href="../ref/">References »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/ref/index.html b/dev/ref/index.html
index e5e3c6f6..79f4fa0d 100644
--- a/dev/ref/index.html
+++ b/dev/ref/index.html
@@ -1,5 +1,5 @@
 <!DOCTYPE html>
-<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>References · GenericTensorNetworks.jl</title><meta name="title" content="References · GenericTensorNetworks.jl"/><meta property="og:title" content="References · GenericTensorNetworks.jl"/><meta property="twitter:title" content="References · GenericTensorNetworks.jl"/><meta name="description" content="Documentation for GenericTensorNetworks.jl."/><meta property="og:description" content="Documentation for GenericTensorNetworks.jl."/><meta property="twitter:description" content="Documentation for GenericTensorNetworks.jl."/><meta property="og:url" content="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><meta property="twitter:url" content="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><link rel="canonical" href="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><script data-outdated-warner src="../assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.050/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.8/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL=".."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../assets/documenter.js"></script><script src="../search_index.js"></script><script src="../siteinfo.js"></script><script src="../../versions.js"></script><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-dark.css" data-theme-name="documenter-dark" data-theme-primary-dark/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../assets/themeswap.js"></script><link href="../assets/indigo.css" rel="stylesheet" type="text/css"/></head><body><div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit"><a href="../">GenericTensorNetworks.jl</a></span></div><button class="docs-search-query input is-rounded is-small is-clickable my-2 mx-auto py-1 px-2" id="documenter-search-query">Search docs (Ctrl + /)</button><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><span class="tocitem">Problems</span><ul><li><a class="tocitem" href="../generated/IndependentSet/">Independent set problem</a></li><li><a class="tocitem" href="../generated/MaximalIS/">Maximal independent set problem</a></li><li><a class="tocitem" href="../generated/SpinGlass/">Spin glass problem</a></li><li><a class="tocitem" href="../generated/MaxCut/">Cutting problem</a></li><li><a class="tocitem" href="../generated/Matching/">Vertex matching problem</a></li><li><a class="tocitem" href="../generated/PaintShop/">Binary paint shop problem</a></li><li><a class="tocitem" href="../generated/Coloring/">Coloring problem</a></li><li><a class="tocitem" href="../generated/DominatingSet/">Dominating set problem</a></li><li><a class="tocitem" href="../generated/Satisfiability/">Satisfiability problem</a></li><li><a class="tocitem" href="../generated/SetCovering/">Set covering problem</a></li><li><a class="tocitem" href="../generated/SetPacking/">Set packing problem</a></li><li><a class="tocitem" href="../generated/HyperSpinGlass/">Hyper Spin glass problem</a></li></ul></li><li><span class="tocitem">Topics</span><ul><li><a class="tocitem" href="../gist/">Gist</a></li><li><a class="tocitem" href="../generated/saveload/">Save and load solutions</a></li><li><a class="tocitem" href="../sumproduct/">Sum product tree representation</a></li><li><a class="tocitem" href="../generated/weighted/">Weighted problems</a></li><li><a class="tocitem" href="../generated/open/">Open and fixed degrees of freedom</a></li></ul></li><li><a class="tocitem" href="../performancetips/">Performance Tips</a></li><li class="is-active"><a class="tocitem" href>References</a><ul class="internal"><li><a class="tocitem" href="#Graph-problems"><span>Graph problems</span></a></li><li><a class="tocitem" href="#Properties"><span>Properties</span></a></li><li><a class="tocitem" href="#Element-Algebras"><span>Element Algebras</span></a></li><li><a class="tocitem" href="#Tensor-Network"><span>Tensor Network</span></a></li><li><a class="tocitem" href="#Others"><span>Others</span></a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><a class="docs-sidebar-button docs-navbar-link fa-solid fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>References</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>References</a></li></ul></nav><div class="docs-right"><a class="docs-navbar-link" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/master/docs/src/ref.md#" title="Edit source on GitHub"><span class="docs-icon fa-solid"></span></a><a class="docs-settings-button docs-navbar-link fa-solid fa-gear" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-article-toggle-button fa-solid fa-chevron-up" id="documenter-article-toggle-button" href="javascript:;" title="Collapse all docstrings"></a></div></header><article class="content" id="documenter-page"><h1 id="References"><a class="docs-heading-anchor" href="#References">References</a><a id="References-1"></a><a class="docs-heading-anchor-permalink" href="#References" title="Permalink"></a></h1><h2 id="Graph-problems"><a class="docs-heading-anchor" href="#Graph-problems">Graph problems</a><a id="Graph-problems-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-problems" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.solve" href="#GenericTensorNetworks.solve"><code>GenericTensorNetworks.solve</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">solve(problem, property; usecuda=false, T=Float64)</code></pre><p>Solving a certain property of a graph problem.</p><p><strong>Positional Arguments</strong></p><ul><li><p><code>problem</code> is the graph problem with tensor network information,</p></li><li><p><code>property</code> is string specifying the task. Using the maximum independent set problem as an example, it can be one of</p><ul><li><p><a href="#GenericTensorNetworks.PartitionFunction"><code>PartitionFunction</code></a><code>()</code> for computing the partition function,</p></li><li><p><a href="#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a><code>(k=Single)</code> for finding maximum-<span>$k$</span> set sizes,</p></li><li><p><a href="#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a><code>(k=Single)</code> for finding minimum-<span>$k$</span> set sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a><code>(k=Single)</code> for counting configurations with maximum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a><code>(k=Single)</code> for counting configurations with minimum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingAll"><code>CountingAll</code></a><code>()</code> for counting all configurations,</p></li><li><p><a href="#GenericTensorNetworks.PartitionFunction"><code>PartitionFunction</code></a><code>()</code> for counting all configurations,</p></li><li><p><a href="#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a><code>(; method=:finitefield, kwargs...)</code> for evaluating the graph polynomial,</p></li><li><p><a href="#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a><code>(k=Single; bounded=false)</code> for finding one maximum-<span>$k$</span> configuration for each size,</p></li><li><p><a href="#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a><code>(k=Single; bounded=false)</code> for finding one minimum-<span>$k$</span> configuration for each size,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a><code>(k=Single; bounded=true, tree_storage=false)</code> for enumerating configurations with maximum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a><code>(k=Single; bounded=true, tree_storage=false)</code> for enumerating configurations with minimum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsAll"><code>ConfigsAll</code></a><code>(; tree_storage=false)</code> for enumerating all configurations,</p></li></ul></li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>usecuda</code> is a switch to use CUDA (if possible), user need to call statement <code>using CUDA</code> before turning on this switch.</li><li><code>T</code> is the &quot;base&quot; element type, sometimes can be used to reduce the memory cost.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L218-L250">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.GraphProblem" href="#GenericTensorNetworks.GraphProblem"><code>GenericTensorNetworks.GraphProblem</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">GraphProblem</code></pre><p>The abstract base type of graph problems.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L1-L5">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.IndependentSet" href="#GenericTensorNetworks.IndependentSet"><code>GenericTensorNetworks.IndependentSet</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">IndependentSet{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+<html lang="en"><head><meta charset="UTF-8"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><title>References · GenericTensorNetworks.jl</title><meta name="title" content="References · GenericTensorNetworks.jl"/><meta property="og:title" content="References · GenericTensorNetworks.jl"/><meta property="twitter:title" content="References · GenericTensorNetworks.jl"/><meta name="description" content="Documentation for GenericTensorNetworks.jl."/><meta property="og:description" content="Documentation for GenericTensorNetworks.jl."/><meta property="twitter:description" content="Documentation for GenericTensorNetworks.jl."/><meta property="og:url" content="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><meta property="twitter:url" content="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><link rel="canonical" href="https://QuEraComputing.github.io/GenericTensorNetworks.jl/ref/"/><script data-outdated-warner src="../assets/warner.js"></script><link href="https://cdnjs.cloudflare.com/ajax/libs/lato-font/3.0.0/css/lato-font.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/juliamono/0.050/juliamono.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/fontawesome.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/solid.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.2/css/brands.min.css" rel="stylesheet" type="text/css"/><link href="https://cdnjs.cloudflare.com/ajax/libs/KaTeX/0.16.8/katex.min.css" rel="stylesheet" type="text/css"/><script>documenterBaseURL=".."</script><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.6/require.min.js" data-main="../assets/documenter.js"></script><script src="../search_index.js"></script><script src="../siteinfo.js"></script><script src="../../versions.js"></script><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-dark.css" data-theme-name="documenter-dark" data-theme-primary-dark/><link class="docs-theme-link" rel="stylesheet" type="text/css" href="../assets/themes/documenter-light.css" data-theme-name="documenter-light" data-theme-primary/><script src="../assets/themeswap.js"></script><link href="../assets/indigo.css" rel="stylesheet" type="text/css"/></head><body><div id="documenter"><nav class="docs-sidebar"><div class="docs-package-name"><span class="docs-autofit"><a href="../">GenericTensorNetworks.jl</a></span></div><button class="docs-search-query input is-rounded is-small is-clickable my-2 mx-auto py-1 px-2" id="documenter-search-query">Search docs (Ctrl + /)</button><ul class="docs-menu"><li><a class="tocitem" href="../">Home</a></li><li><span class="tocitem">Problems</span><ul><li><a class="tocitem" href="../generated/IndependentSet/">Independent set problem</a></li><li><a class="tocitem" href="../generated/MaximalIS/">Maximal independent set problem</a></li><li><a class="tocitem" href="../generated/SpinGlass/">Spin glass problem</a></li><li><a class="tocitem" href="../generated/MaxCut/">Cutting problem</a></li><li><a class="tocitem" href="../generated/Matching/">Vertex matching problem</a></li><li><a class="tocitem" href="../generated/PaintShop/">Binary paint shop problem</a></li><li><a class="tocitem" href="../generated/Coloring/">Coloring problem</a></li><li><a class="tocitem" href="../generated/DominatingSet/">Dominating set problem</a></li><li><a class="tocitem" href="../generated/Satisfiability/">Satisfiability problem</a></li><li><a class="tocitem" href="../generated/SetCovering/">Set covering problem</a></li><li><a class="tocitem" href="../generated/SetPacking/">Set packing problem</a></li><li><a class="tocitem" href="../generated/HyperSpinGlass/">Hyper Spin glass problem</a></li></ul></li><li><span class="tocitem">Topics</span><ul><li><a class="tocitem" href="../gist/">Gist</a></li><li><a class="tocitem" href="../generated/saveload/">Save and load solutions</a></li><li><a class="tocitem" href="../sumproduct/">Sum product tree representation</a></li><li><a class="tocitem" href="../generated/weighted/">Weighted problems</a></li><li><a class="tocitem" href="../generated/open/">Open and fixed degrees of freedom</a></li></ul></li><li><a class="tocitem" href="../performancetips/">Performance Tips</a></li><li class="is-active"><a class="tocitem" href>References</a><ul class="internal"><li><a class="tocitem" href="#Graph-problems"><span>Graph problems</span></a></li><li><a class="tocitem" href="#Properties"><span>Properties</span></a></li><li><a class="tocitem" href="#Element-Algebras"><span>Element Algebras</span></a></li><li><a class="tocitem" href="#Tensor-Network"><span>Tensor Network</span></a></li><li><a class="tocitem" href="#Others"><span>Others</span></a></li></ul></li></ul><div class="docs-version-selector field has-addons"><div class="control"><span class="docs-label button is-static is-size-7">Version</span></div><div class="docs-selector control is-expanded"><div class="select is-fullwidth is-size-7"><select id="documenter-version-selector"></select></div></div></div></nav><div class="docs-main"><header class="docs-navbar"><a class="docs-sidebar-button docs-navbar-link fa-solid fa-bars is-hidden-desktop" id="documenter-sidebar-button" href="#"></a><nav class="breadcrumb"><ul class="is-hidden-mobile"><li class="is-active"><a href>References</a></li></ul><ul class="is-hidden-tablet"><li class="is-active"><a href>References</a></li></ul></nav><div class="docs-right"><a class="docs-navbar-link" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/master/docs/src/ref.md#" title="Edit source on GitHub"><span class="docs-icon fa-solid"></span></a><a class="docs-settings-button docs-navbar-link fa-solid fa-gear" id="documenter-settings-button" href="#" title="Settings"></a><a class="docs-article-toggle-button fa-solid fa-chevron-up" id="documenter-article-toggle-button" href="javascript:;" title="Collapse all docstrings"></a></div></header><article class="content" id="documenter-page"><h1 id="References"><a class="docs-heading-anchor" href="#References">References</a><a id="References-1"></a><a class="docs-heading-anchor-permalink" href="#References" title="Permalink"></a></h1><h2 id="Graph-problems"><a class="docs-heading-anchor" href="#Graph-problems">Graph problems</a><a id="Graph-problems-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-problems" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.solve" href="#GenericTensorNetworks.solve"><code>GenericTensorNetworks.solve</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">solve(problem, property; usecuda=false, T=Float64)</code></pre><p>Solving a certain property of a graph problem.</p><p><strong>Positional Arguments</strong></p><ul><li><p><code>problem</code> is the graph problem with tensor network information,</p></li><li><p><code>property</code> is string specifying the task. Using the maximum independent set problem as an example, it can be one of</p><ul><li><p><a href="#GenericTensorNetworks.PartitionFunction"><code>PartitionFunction</code></a><code>()</code> for computing the partition function,</p></li><li><p><a href="#GenericTensorNetworks.SizeMax"><code>SizeMax</code></a><code>(k=Single)</code> for finding maximum-<span>$k$</span> set sizes,</p></li><li><p><a href="#GenericTensorNetworks.SizeMin"><code>SizeMin</code></a><code>(k=Single)</code> for finding minimum-<span>$k$</span> set sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingMax"><code>CountingMax</code></a><code>(k=Single)</code> for counting configurations with maximum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingMin"><code>CountingMin</code></a><code>(k=Single)</code> for counting configurations with minimum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.CountingAll"><code>CountingAll</code></a><code>()</code> for counting all configurations,</p></li><li><p><a href="#GenericTensorNetworks.PartitionFunction"><code>PartitionFunction</code></a><code>()</code> for counting all configurations,</p></li><li><p><a href="#GenericTensorNetworks.GraphPolynomial"><code>GraphPolynomial</code></a><code>(; method=:finitefield, kwargs...)</code> for evaluating the graph polynomial,</p></li><li><p><a href="#GenericTensorNetworks.SingleConfigMax"><code>SingleConfigMax</code></a><code>(k=Single; bounded=false)</code> for finding one maximum-<span>$k$</span> configuration for each size,</p></li><li><p><a href="#GenericTensorNetworks.SingleConfigMin"><code>SingleConfigMin</code></a><code>(k=Single; bounded=false)</code> for finding one minimum-<span>$k$</span> configuration for each size,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsMax"><code>ConfigsMax</code></a><code>(k=Single; bounded=true, tree_storage=false)</code> for enumerating configurations with maximum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsMin"><code>ConfigsMin</code></a><code>(k=Single; bounded=true, tree_storage=false)</code> for enumerating configurations with minimum-<span>$k$</span> sizes,</p></li><li><p><a href="#GenericTensorNetworks.ConfigsAll"><code>ConfigsAll</code></a><code>(; tree_storage=false)</code> for enumerating all configurations,</p></li></ul></li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>usecuda</code> is a switch to use CUDA (if possible), user need to call statement <code>using CUDA</code> before turning on this switch.</li><li><code>T</code> is the &quot;base&quot; element type, sometimes can be used to reduce the memory cost.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L218-L250">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.GraphProblem" href="#GenericTensorNetworks.GraphProblem"><code>GenericTensorNetworks.GraphProblem</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">GraphProblem</code></pre><p>The abstract base type of graph problems.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L1-L5">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.IndependentSet" href="#GenericTensorNetworks.IndependentSet"><code>GenericTensorNetworks.IndependentSet</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">IndependentSet{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 IndependentSet(graph; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
@@ -9,32 +9,32 @@
 
 julia&gt; solve(problem, ConfigsMax())
 0-dimensional Array{CountingTropical{Float64, ConfigEnumerator{10, 1, 1}}, 0}:
-(4.0, {0101010001, 1010000011, 0100100110, 0010111000, 1001001100})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/IndependentSet.jl#L1-L32">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.MaximalIS" href="#GenericTensorNetworks.MaximalIS"><code>GenericTensorNetworks.MaximalIS</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">MaximalIS{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+(4.0, {0101010001, 1010000011, 0100100110, 0010111000, 1001001100})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/IndependentSet.jl#L1-L32">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.MaximalIS" href="#GenericTensorNetworks.MaximalIS"><code>GenericTensorNetworks.MaximalIS</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">MaximalIS{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 MaximalIS(graph; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
-    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/MaximalIS/">maximal independent set</a> problem. In the constructor, <code>weights</code> are the weights of vertices.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (absent in the set) or <code>1</code> (present in the set).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/MaximalIS.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Matching" href="#GenericTensorNetworks.Matching"><code>GenericTensorNetworks.Matching</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Matching{CT&lt;:AbstractEinsum, WT&lt;:Union{NoWeight,Vector}} &lt;: GraphProblem
+    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/MaximalIS/">maximal independent set</a> problem. In the constructor, <code>weights</code> are the weights of vertices.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (absent in the set) or <code>1</code> (present in the set).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/MaximalIS.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Matching" href="#GenericTensorNetworks.Matching"><code>GenericTensorNetworks.Matching</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Matching{CT&lt;:AbstractEinsum, WT&lt;:Union{NoWeight,Vector}} &lt;: GraphProblem
 Matching(graph; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
-    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/Matching/">Vertex matching</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on edges, where a value can be <code>0</code> (not matched) or <code>1</code> (mathced).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Matching.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Coloring" href="#GenericTensorNetworks.Coloring"><code>GenericTensorNetworks.Coloring</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Coloring{K,CT&lt;:AbstractEinsum, WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/Matching/">Vertex matching</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on edges, where a value can be <code>0</code> (not matched) or <code>1</code> (mathced).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Matching.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Coloring" href="#GenericTensorNetworks.Coloring"><code>GenericTensorNetworks.Coloring</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Coloring{K,CT&lt;:AbstractEinsum, WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 Coloring{K}(graph; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
-    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/Coloring/">Vertex Coloring</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on vertices, where a value can be in <span>$0,...,K-1$</span> (different colors).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Coloring.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.DominatingSet" href="#GenericTensorNetworks.DominatingSet"><code>GenericTensorNetworks.DominatingSet</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">DominatingSet{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/Coloring/">Vertex Coloring</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on vertices, where a value can be in <span>$0,...,K-1$</span> (different colors).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Coloring.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.DominatingSet" href="#GenericTensorNetworks.DominatingSet"><code>GenericTensorNetworks.DominatingSet</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">DominatingSet{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 DominatingSet(graph; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
-    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/DominatingSet/">dominating set</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on vertices, where a value can be <code>0</code> (absent in the set) or <code>1</code> (present in the set).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/DominatingSet.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SpinGlass" href="#GenericTensorNetworks.SpinGlass"><code>GenericTensorNetworks.SpinGlass</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SpinGlass{TT&lt;:MaxCut,WT1&lt;:Union{NoWeight, Vector},WT2&lt;:Union{ZeroWeight, Vector}} &lt;: ReducedProblem
+    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/DominatingSet/">dominating set</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms on vertices, where a value can be <code>0</code> (absent in the set) or <code>1</code> (present in the set).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/DominatingSet.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SpinGlass" href="#GenericTensorNetworks.SpinGlass"><code>GenericTensorNetworks.SpinGlass</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SpinGlass{TT&lt;:MaxCut,WT1&lt;:Union{NoWeight, Vector},WT2&lt;:Union{ZeroWeight, Vector}} &lt;: ReducedProblem
 SpinGlass(graph; J=NoWeight(), h=ZeroWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
     )
-SpinGlass(M::AbstractMatrix, h::AbstractVector; kwargs...)</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/SpinGlass/">spin glass</a> problem (or cutting problem). In the output, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>M</code> is a symmetric matrix of the coupling strengths.</li><li><code>J</code> is a vector of coupling strengths associated with the edges of the <code>graph</code>.</li><li><code>h</code> is a vector of onsite energy terms associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SpinGlass.jl#L1-L24">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.HyperSpinGlass" href="#GenericTensorNetworks.HyperSpinGlass"><code>GenericTensorNetworks.HyperSpinGlass</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">struct HyperSpinGlass{CT&lt;:OMEinsum.AbstractEinsum, WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/HyperSpinGlass/">hyper-spin-glass</a> problem is a generalization of the spin-glass problem to hypergraphs.</p><p><strong>Positional arguments</strong></p><ul><li><code>n</code> is the number of spins.</li><li><code>cliques</code> is a vector of cliques, each being a vector of vertices (integers).</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the cliques.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/HyperSpinGlass.jl#L1">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.MaxCut" href="#GenericTensorNetworks.MaxCut"><code>GenericTensorNetworks.MaxCut</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">MaxCut{CT&lt;:AbstractEinsum,WT1&lt;:Union{NoWeight, Vector},WT2&lt;:Union{ZeroWeight, Vector}} &lt;: GraphProblem
+SpinGlass(M::AbstractMatrix, h::AbstractVector; kwargs...)</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/SpinGlass/">spin glass</a> problem (or cutting problem). In the output, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>M</code> is a symmetric matrix of the coupling strengths.</li><li><code>J</code> is a vector of coupling strengths associated with the edges of the <code>graph</code>.</li><li><code>h</code> is a vector of onsite energy terms associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SpinGlass.jl#L1-L24">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.HyperSpinGlass" href="#GenericTensorNetworks.HyperSpinGlass"><code>GenericTensorNetworks.HyperSpinGlass</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">struct HyperSpinGlass{CT&lt;:OMEinsum.AbstractEinsum, WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/HyperSpinGlass/">hyper-spin-glass</a> problem is a generalization of the spin-glass problem to hypergraphs.</p><p><strong>Positional arguments</strong></p><ul><li><code>n</code> is the number of spins.</li><li><code>cliques</code> is a vector of cliques, each being a vector of vertices (integers).</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>weights</code> are associated with the cliques.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/HyperSpinGlass.jl#L1">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.MaxCut" href="#GenericTensorNetworks.MaxCut"><code>GenericTensorNetworks.MaxCut</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">MaxCut{CT&lt;:AbstractEinsum,WT1&lt;:Union{NoWeight, Vector},WT2&lt;:Union{ZeroWeight, Vector}} &lt;: GraphProblem
 MaxCut(graph; edge_weights=NoWeight(), vertex_weights=ZeroWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
-    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/MaxCut/">cutting</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>edge_weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>vertex_weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/MaxCut.jl#L1-L21">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.PaintShop" href="#GenericTensorNetworks.PaintShop"><code>GenericTensorNetworks.PaintShop</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">PaintShop{CT&lt;:AbstractEinsum} &lt;: GraphProblem
+    )</code></pre><p>The <a href="https://queracomputing.github.io/GenericTensorNetworks.jl/dev/generated/MaxCut/">cutting</a> problem.</p><p><strong>Positional arguments</strong></p><ul><li><code>graph</code> is the problem graph.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>edge_weights</code> are associated with the edges of the <code>graph</code>.</li><li><code>vertex_weights</code> are associated with the vertices of the <code>graph</code>.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of degree of freedoms, where a value can be <code>0</code> (in one side of the cut) or <code>1</code> (in the other side of the cut).</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/MaxCut.jl#L1-L21">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.PaintShop" href="#GenericTensorNetworks.PaintShop"><code>GenericTensorNetworks.PaintShop</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">PaintShop{CT&lt;:AbstractEinsum} &lt;: GraphProblem
 PaintShop(sequence::AbstractVector; openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
@@ -48,7 +48,7 @@
 julia&gt; solve(pb, ConfigsMin())[].c.data
 2-element Vector{StaticBitVector{3, 1}}:
  100
- 011</code></pre><p>In our definition, we find the maximum number of unchanged color in this sequence, i.e. (n-1) - (minimum number of color changes) In the output of maximum configurations, the two configurations are defined on 5 bonds i.e. pairs of (i, i+1), <code>0</code> means color changed, while <code>1</code> means color not changed. If we denote two &quot;colors&quot; as <code>r</code> and <code>b</code>, then the optimal painting is <code>rbbbrr</code> or <code>brrrbb</code>, both change the colors twice.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/PaintShop.jl#L1-L39">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Satisfiability" href="#GenericTensorNetworks.Satisfiability"><code>GenericTensorNetworks.Satisfiability</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Satisfiability{CT&lt;:AbstractEinsum,T,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+ 011</code></pre><p>In our definition, we find the maximum number of unchanged color in this sequence, i.e. (n-1) - (minimum number of color changes) In the output of maximum configurations, the two configurations are defined on 5 bonds i.e. pairs of (i, i+1), <code>0</code> means color changed, while <code>1</code> means color not changed. If we denote two &quot;colors&quot; as <code>r</code> and <code>b</code>, then the optimal painting is <code>rbbbrr</code> or <code>brrrbb</code>, both change the colors twice.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/PaintShop.jl#L1-L39">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Satisfiability" href="#GenericTensorNetworks.Satisfiability"><code>GenericTensorNetworks.Satisfiability</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Satisfiability{CT&lt;:AbstractEinsum,T,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 Satisfiability(cnf::CNF; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
@@ -72,7 +72,7 @@
 julia&gt; gp = Satisfiability(cnf);
 
 julia&gt; solve(gp, SizeMax())[]
-4.0ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L109-L154">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SetCovering" href="#GenericTensorNetworks.SetCovering"><code>GenericTensorNetworks.SetCovering</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SetCovering{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+4.0ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L109-L154">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SetCovering" href="#GenericTensorNetworks.SetCovering"><code>GenericTensorNetworks.SetCovering</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SetCovering{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 SetCovering(sets; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
@@ -81,7 +81,7 @@
 julia&gt; gp = SetCovering(sets);
 
 julia&gt; res = solve(gp, ConfigsMin())[]
-(3.0, {10110, 10101})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SetCovering.jl#L1-L31">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SetPacking" href="#GenericTensorNetworks.SetPacking"><code>GenericTensorNetworks.SetPacking</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SetPacking{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
+(3.0, {10110, 10101})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SetCovering.jl#L1-L31">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SetPacking" href="#GenericTensorNetworks.SetPacking"><code>GenericTensorNetworks.SetPacking</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SetPacking{CT&lt;:AbstractEinsum,WT&lt;:Union{NoWeight, Vector}} &lt;: GraphProblem
 SetPacking(sets; weights=NoWeight(), openvertices=(),
         optimizer=GreedyMethod(), simplifier=nothing,
         fixedvertices=Dict()
@@ -90,7 +90,7 @@
 julia&gt; gp = SetPacking(sets);
 
 julia&gt; res = solve(gp, ConfigsMax())[]
-(2.0, {00110, 10010, 01100})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SetPacking.jl#L1-L31">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.OpenPitMining" href="#GenericTensorNetworks.OpenPitMining"><code>GenericTensorNetworks.OpenPitMining</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">OpenPitMining{ET, CT&lt;:AbstractEinsum} &lt;: GraphProblem
+(2.0, {00110, 10010, 01100})ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SetPacking.jl#L1-L31">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.OpenPitMining" href="#GenericTensorNetworks.OpenPitMining"><code>GenericTensorNetworks.OpenPitMining</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">OpenPitMining{ET, CT&lt;:AbstractEinsum} &lt;: GraphProblem
 OpenPitMining(rewards; openvertices=(),
              optimizer=GreedyMethod(), simplifier=nothing,
              fixedvertices=Dict())</code></pre><p>The open pit mining problem. This problem can be solved in polynomial time with the pseudoflow algorithm.</p><p><strong>Positional arguments</strong></p><ul><li><code>rewards</code> is a matrix of rewards.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><code>openvertices</code> specifies labels of the output tensor.</li><li><code>optimizer</code> and <code>simplifier</code> are for tensor network optimization, check <a href="#OMEinsumContractionOrders.optimize_code"><code>optimize_code</code></a> for details.</li><li><code>fixedvertices</code> is a dict to specify the values of labels, where a value can be <code>0</code> (not mined) or <code>1</code> (mined)</li><li><code>openvertices</code> is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.</li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; rewards =  [-4  -7  -7  -17  -7  -26;
@@ -114,7 +114,7 @@
       ◼       ◼       1       8       ◼       ◼ 
       ◼       ◼       ◼       ◼       ◼       ◼ 
       ◼       ◼       ◼       ◼       ◼       ◼ 
-      ◼       ◼       ◼       ◼       ◼       ◼</code></pre><p>You will the the mining is printed as green in an colored REPL.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/OpenPitMining.jl#L1-L49">source</a></section></article><h4 id="Graph-Problem-Interfaces"><a class="docs-heading-anchor" href="#Graph-Problem-Interfaces">Graph Problem Interfaces</a><a id="Graph-Problem-Interfaces-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-Problem-Interfaces" title="Permalink"></a></h4><p>To subtype <a href="#GenericTensorNetworks.GraphProblem"><code>GraphProblem</code></a>, a new type must contain a <code>code</code> field to represent the (optimized) tensor network. Interfaces <a href="#GenericTensorNetworks.generate_tensors"><code>GenericTensorNetworks.generate_tensors</code></a>, <a href="#GenericTensorNetworks.labels"><code>labels</code></a>, <a href="#GenericTensorNetworks.flavors"><code>flavors</code></a> and <a href="#GenericTensorNetworks.get_weights"><code>get_weights</code></a> are required. <a href="#GenericTensorNetworks.nflavor"><code>nflavor</code></a> is optional.</p><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.generate_tensors" href="#GenericTensorNetworks.generate_tensors"><code>GenericTensorNetworks.generate_tensors</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">generate_tensors(func, problem::GraphProblem)</code></pre><p>Generate a vector of tensors as the inputs of the tensor network contraction code <code>problem.code</code>. <code>func</code> is a function to customize the tensors. <code>func(symbol)</code> returns a vector of elements, the length of which is same as the number of flavors.</p><p><strong>Example</strong></p><p>The following code gives your the maximum independent set size</p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs, GenericTensorNetworks
+      ◼       ◼       ◼       ◼       ◼       ◼</code></pre><p>You will the the mining is printed as green in an colored REPL.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/OpenPitMining.jl#L1-L49">source</a></section></article><h4 id="Graph-Problem-Interfaces"><a class="docs-heading-anchor" href="#Graph-Problem-Interfaces">Graph Problem Interfaces</a><a id="Graph-Problem-Interfaces-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-Problem-Interfaces" title="Permalink"></a></h4><p>To subtype <a href="#GenericTensorNetworks.GraphProblem"><code>GraphProblem</code></a>, a new type must contain a <code>code</code> field to represent the (optimized) tensor network. Interfaces <a href="#GenericTensorNetworks.generate_tensors"><code>GenericTensorNetworks.generate_tensors</code></a>, <a href="#GenericTensorNetworks.labels"><code>labels</code></a>, <a href="#GenericTensorNetworks.flavors"><code>flavors</code></a> and <a href="#GenericTensorNetworks.get_weights"><code>get_weights</code></a> are required. <a href="#GenericTensorNetworks.nflavor"><code>nflavor</code></a> is optional.</p><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.generate_tensors" href="#GenericTensorNetworks.generate_tensors"><code>GenericTensorNetworks.generate_tensors</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">generate_tensors(func, problem::GraphProblem)</code></pre><p>Generate a vector of tensors as the inputs of the tensor network contraction code <code>problem.code</code>. <code>func</code> is a function to customize the tensors. <code>func(symbol)</code> returns a vector of elements, the length of which is same as the number of flavors.</p><p><strong>Example</strong></p><p>The following code gives your the maximum independent set size</p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs, GenericTensorNetworks
 
 julia&gt; gp = IndependentSet(smallgraph(:petersen));
 
@@ -143,10 +143,10 @@
 
 julia&gt; gp.code(GenericTensorNetworks.generate_tensors(Tropical(1.0), gp)...)
 0-dimensional Array{Tropical{Float64}, 0}:
-4.0ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L78-L120">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.labels" href="#GenericTensorNetworks.labels"><code>GenericTensorNetworks.labels</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">labels(problem::GraphProblem) -&gt; Vector</code></pre><p>The labels of a graph problem is defined as the degrees of freedoms in the graph problem. e.g. for the maximum independent set problems, they are the indices of vertices: 1, 2, 3..., while for the max cut problem, they are the edges.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L36-L42">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.terms" href="#GenericTensorNetworks.terms"><code>GenericTensorNetworks.terms</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">terms(problem::GraphProblem) -&gt; Vector</code></pre><p>The terms of a graph problem is defined as the tensor labels that defining local energies (or weights) in the graph problem. e.g. for the maximum independent set problems, they are the vertex-tensor labels: [1], [2], [3]... The weight of a term is same as the exponents in the graph polynomial.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L45-L51">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.flavors" href="#GenericTensorNetworks.flavors"><code>GenericTensorNetworks.flavors</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">flavors(::Type{&lt;:GraphProblem}) -&gt; Vector</code></pre><p>It returns a vector of integers as the flavors of a degree of freedom. Its size is the same as the degree of freedom on a single vertex/edge.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L62-L67">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.get_weights" href="#GenericTensorNetworks.get_weights"><code>GenericTensorNetworks.get_weights</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">get_weights(problem::GraphProblem, i::Int) -&gt; Vector
-get_weights(problem::GraphProblem) -&gt; Vector</code></pre><p>The weights for the <code>problem</code> or the weights for the degree of freedom specified by the <code>i</code>-th term if a second argument is provided. Weights are associated with <a href="#GenericTensorNetworks.terms"><code>terms</code></a> in the graph problem. In graph polynomial, integer weights can be the exponents.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L17-L24">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.chweights" href="#GenericTensorNetworks.chweights"><code>GenericTensorNetworks.chweights</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">chweights(problem::GraphProblem, weights) -&gt; GraphProblem</code></pre><p>Change the weights for the <code>problem</code> and return a new problem instance. Weights are associated with <a href="#GenericTensorNetworks.terms"><code>terms</code></a> in the graph problem. In graph polynomial, integer weights can be the exponents.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L27-L33">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.nflavor" href="#GenericTensorNetworks.nflavor"><code>GenericTensorNetworks.nflavor</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">nflavor(::Type{&lt;:GraphProblem}) -&gt; Int</code></pre><p>Bond size is equal to the number of flavors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L70-L74">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.fixedvertices" href="#GenericTensorNetworks.fixedvertices"><code>GenericTensorNetworks.fixedvertices</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">fixedvertices(problem::GraphProblem) -&gt; Dict</code></pre><p>Fix degree of freedoms in a graph problem to a certain value using a dict, where the key is a label, and the value should be in, e.g. [0, 1] in the indepenent set problem. When a degree of freedom is fixed, its size is 1. The optimal tensor network contraction order is then different from the default case.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/networks.jl#L54-L59">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.extract_result" href="#GenericTensorNetworks.extract_result"><code>GenericTensorNetworks.extract_result</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">extract_result(p::ReducedProblem, output)
-extract_result(p::ReducedProblem)</code></pre><p>Post process the output of the target problem to get an output to the source problem. If the output is not provided, it will return a function instead. The result extraction rule is determined by the output type. e.g. If the output type is <code>Tropical</code>, it will be interpreted as the energy. If the output is a <code>Vector</code>, it will be interpreted as a configuration.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Reduced.jl#L17-L26">source</a></section></article><h4 id="Graph-Problem-Utilities"><a class="docs-heading-anchor" href="#Graph-Problem-Utilities">Graph Problem Utilities</a><a id="Graph-Problem-Utilities-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-Problem-Utilities" title="Permalink"></a></h4><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_independent_set" href="#GenericTensorNetworks.is_independent_set"><code>GenericTensorNetworks.is_independent_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_independent_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is an independent set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/IndependentSet.jl#L100-L104">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_maximal_independent_set" href="#GenericTensorNetworks.is_maximal_independent_set"><code>GenericTensorNetworks.is_maximal_independent_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_maximal_independent_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is a maximal independent set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/MaximalIS.jl#L61-L65">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_dominating_set" href="#GenericTensorNetworks.is_dominating_set"><code>GenericTensorNetworks.is_dominating_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_dominating_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is a dominating set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/DominatingSet.jl#L60-L64">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_vertex_coloring" href="#GenericTensorNetworks.is_vertex_coloring"><code>GenericTensorNetworks.is_vertex_coloring</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_vertex_coloring(graph::SimpleGraph, config)</code></pre><p>Returns true if the coloring specified by config is a valid one, i.e. does not violate the contraints of vertices of an edges having different colors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Coloring.jl#L67-L71">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_matching" href="#GenericTensorNetworks.is_matching"><code>GenericTensorNetworks.is_matching</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_matching(graph::SimpleGraph, config)</code></pre><p>Returns true if <code>config</code> is a valid matching on <code>graph</code>, and <code>false</code> if a vertex is double matched. <code>config</code> is a vector of boolean variables, which has one to one correspondence with <code>edges(graph)</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Matching.jl#L74-L79">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_set_covering" href="#GenericTensorNetworks.is_set_covering"><code>GenericTensorNetworks.is_set_covering</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_set_covering(sets::AbstractVector, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of sets) is a set covering of <code>sets</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SetCovering.jl#L94-L98">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_set_packing" href="#GenericTensorNetworks.is_set_packing"><code>GenericTensorNetworks.is_set_packing</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_set_packing(sets::AbstractVector, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of sets) is a set packing of <code>sets</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SetPacking.jl#L67-L71">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.cut_size" href="#GenericTensorNetworks.cut_size"><code>GenericTensorNetworks.cut_size</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">cut_size(g::SimpleGraph, config; edge_weights=NoWeight(), vertex_weights=ZeroWeight())</code></pre><p>Compute the cut size for the vertex configuration <code>config</code> (an iterator).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/MaxCut.jl#L64-L68">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.spinglass_energy" href="#GenericTensorNetworks.spinglass_energy"><code>GenericTensorNetworks.spinglass_energy</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">spinglass_energy(g::SimpleGraph, config; J=NoWeight(), h=ZeroWeight())</code></pre><p>Compute the spin glass state energy for the vertex configuration <code>config</code>. In the configuration, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1. Let <span>$G=(V,E)$</span> be the input graph, the hamiltonian is</p><p class="math-container">\[H = - \sum_{ij \in E} J_{ij} s_i s_j + \sum_{i \in V} h_i s_i,\]</p><p>where <span>$s_i \in \{-1, 1\}$</span> stands for spin ↓ and spin ↑.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/SpinGlass.jl#L63-L73">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.hyperspinglass_energy" href="#GenericTensorNetworks.hyperspinglass_energy"><code>GenericTensorNetworks.hyperspinglass_energy</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">hyperspinglass_energy(cliques, config; weights) -&gt; Real
-</code></pre><p>Compute the energy for spin configuration <code>config</code> (an iterator).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/HyperSpinGlass.jl#L66">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.num_paint_shop_color_switch" href="#GenericTensorNetworks.num_paint_shop_color_switch"><code>GenericTensorNetworks.num_paint_shop_color_switch</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">num_paint_shop_color_switch(sequence::AbstractVector, coloring)</code></pre><p>Returns the number of color switches.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/PaintShop.jl#L92-L96">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.paint_shop_coloring_from_config" href="#GenericTensorNetworks.paint_shop_coloring_from_config"><code>GenericTensorNetworks.paint_shop_coloring_from_config</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">paint_shop_coloring_from_config(p::PaintShop, config)</code></pre><p>Returns a valid painting from the paint shop configuration (given by the configuration solvers). The <code>config</code> is a sequence of 0 and 1, where 0 means painting the first appearence of a car in blue, 1 otherwise.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/PaintShop.jl#L101-L106">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.mis_compactify!" href="#GenericTensorNetworks.mis_compactify!"><code>GenericTensorNetworks.mis_compactify!</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">mis_compactify!(tropicaltensor)</code></pre><p>Compactify tropical tensor for maximum independent set problem. It will eliminate some entries by setting them to zero, by the criteria that removing these entry does not change the MIS size of its parent graph (reference to be added).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/IndependentSet.jl#L80-L86">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CNF" href="#GenericTensorNetworks.CNF"><code>GenericTensorNetworks.CNF</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CNF{T}
+4.0ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L78-L120">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.labels" href="#GenericTensorNetworks.labels"><code>GenericTensorNetworks.labels</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">labels(problem::GraphProblem) -&gt; Vector</code></pre><p>The labels of a graph problem is defined as the degrees of freedoms in the graph problem. e.g. for the maximum independent set problems, they are the indices of vertices: 1, 2, 3..., while for the max cut problem, they are the edges.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L36-L42">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.terms" href="#GenericTensorNetworks.terms"><code>GenericTensorNetworks.terms</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">terms(problem::GraphProblem) -&gt; Vector</code></pre><p>The terms of a graph problem is defined as the tensor labels that defining local energies (or weights) in the graph problem. e.g. for the maximum independent set problems, they are the vertex-tensor labels: [1], [2], [3]... The weight of a term is same as the exponents in the graph polynomial.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L45-L51">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.flavors" href="#GenericTensorNetworks.flavors"><code>GenericTensorNetworks.flavors</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">flavors(::Type{&lt;:GraphProblem}) -&gt; Vector</code></pre><p>It returns a vector of integers as the flavors of a degree of freedom. Its size is the same as the degree of freedom on a single vertex/edge.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L62-L67">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.get_weights" href="#GenericTensorNetworks.get_weights"><code>GenericTensorNetworks.get_weights</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">get_weights(problem::GraphProblem, i::Int) -&gt; Vector
+get_weights(problem::GraphProblem) -&gt; Vector</code></pre><p>The weights for the <code>problem</code> or the weights for the degree of freedom specified by the <code>i</code>-th term if a second argument is provided. Weights are associated with <a href="#GenericTensorNetworks.terms"><code>terms</code></a> in the graph problem. In graph polynomial, integer weights can be the exponents.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L17-L24">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.chweights" href="#GenericTensorNetworks.chweights"><code>GenericTensorNetworks.chweights</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">chweights(problem::GraphProblem, weights) -&gt; GraphProblem</code></pre><p>Change the weights for the <code>problem</code> and return a new problem instance. Weights are associated with <a href="#GenericTensorNetworks.terms"><code>terms</code></a> in the graph problem. In graph polynomial, integer weights can be the exponents.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L27-L33">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.nflavor" href="#GenericTensorNetworks.nflavor"><code>GenericTensorNetworks.nflavor</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">nflavor(::Type{&lt;:GraphProblem}) -&gt; Int</code></pre><p>Bond size is equal to the number of flavors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L70-L74">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.fixedvertices" href="#GenericTensorNetworks.fixedvertices"><code>GenericTensorNetworks.fixedvertices</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">fixedvertices(problem::GraphProblem) -&gt; Dict</code></pre><p>Fix degree of freedoms in a graph problem to a certain value using a dict, where the key is a label, and the value should be in, e.g. [0, 1] in the indepenent set problem. When a degree of freedom is fixed, its size is 1. The optimal tensor network contraction order is then different from the default case.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/networks.jl#L54-L59">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.extract_result" href="#GenericTensorNetworks.extract_result"><code>GenericTensorNetworks.extract_result</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">extract_result(p::ReducedProblem, output)
+extract_result(p::ReducedProblem)</code></pre><p>Post process the output of the target problem to get an output to the source problem. If the output is not provided, it will return a function instead. The result extraction rule is determined by the output type. e.g. If the output type is <code>Tropical</code>, it will be interpreted as the energy. If the output is a <code>Vector</code>, it will be interpreted as a configuration.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Reduced.jl#L17-L26">source</a></section></article><h4 id="Graph-Problem-Utilities"><a class="docs-heading-anchor" href="#Graph-Problem-Utilities">Graph Problem Utilities</a><a id="Graph-Problem-Utilities-1"></a><a class="docs-heading-anchor-permalink" href="#Graph-Problem-Utilities" title="Permalink"></a></h4><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_independent_set" href="#GenericTensorNetworks.is_independent_set"><code>GenericTensorNetworks.is_independent_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_independent_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is an independent set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/IndependentSet.jl#L100-L104">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_maximal_independent_set" href="#GenericTensorNetworks.is_maximal_independent_set"><code>GenericTensorNetworks.is_maximal_independent_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_maximal_independent_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is a maximal independent set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/MaximalIS.jl#L61-L65">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_dominating_set" href="#GenericTensorNetworks.is_dominating_set"><code>GenericTensorNetworks.is_dominating_set</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_dominating_set(g::SimpleGraph, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of vertices) is a dominating set of graph <code>g</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/DominatingSet.jl#L60-L64">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_vertex_coloring" href="#GenericTensorNetworks.is_vertex_coloring"><code>GenericTensorNetworks.is_vertex_coloring</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_vertex_coloring(graph::SimpleGraph, config)</code></pre><p>Returns true if the coloring specified by config is a valid one, i.e. does not violate the contraints of vertices of an edges having different colors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Coloring.jl#L67-L71">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_matching" href="#GenericTensorNetworks.is_matching"><code>GenericTensorNetworks.is_matching</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_matching(graph::SimpleGraph, config)</code></pre><p>Returns true if <code>config</code> is a valid matching on <code>graph</code>, and <code>false</code> if a vertex is double matched. <code>config</code> is a vector of boolean variables, which has one to one correspondence with <code>edges(graph)</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Matching.jl#L74-L79">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_set_covering" href="#GenericTensorNetworks.is_set_covering"><code>GenericTensorNetworks.is_set_covering</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_set_covering(sets::AbstractVector, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of sets) is a set covering of <code>sets</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SetCovering.jl#L94-L98">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_set_packing" href="#GenericTensorNetworks.is_set_packing"><code>GenericTensorNetworks.is_set_packing</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_set_packing(sets::AbstractVector, config)</code></pre><p>Return true if <code>config</code> (a vector of boolean numbers as the mask of sets) is a set packing of <code>sets</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SetPacking.jl#L67-L71">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.cut_size" href="#GenericTensorNetworks.cut_size"><code>GenericTensorNetworks.cut_size</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">cut_size(g::SimpleGraph, config; edge_weights=NoWeight(), vertex_weights=ZeroWeight())</code></pre><p>Compute the cut size for the vertex configuration <code>config</code> (an iterator).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/MaxCut.jl#L64-L68">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.spinglass_energy" href="#GenericTensorNetworks.spinglass_energy"><code>GenericTensorNetworks.spinglass_energy</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">spinglass_energy(g::SimpleGraph, config; J=NoWeight(), h=ZeroWeight())</code></pre><p>Compute the spin glass state energy for the vertex configuration <code>config</code>. In the configuration, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1. Let <span>$G=(V,E)$</span> be the input graph, the hamiltonian is</p><p class="math-container">\[H = - \sum_{ij \in E} J_{ij} s_i s_j + \sum_{i \in V} h_i s_i,\]</p><p>where <span>$s_i \in \{-1, 1\}$</span> stands for spin ↓ and spin ↑.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/SpinGlass.jl#L63-L73">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.hyperspinglass_energy" href="#GenericTensorNetworks.hyperspinglass_energy"><code>GenericTensorNetworks.hyperspinglass_energy</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">hyperspinglass_energy(cliques, config; weights) -&gt; Real
+</code></pre><p>Compute the energy for spin configuration <code>config</code> (an iterator).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/HyperSpinGlass.jl#L66">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.num_paint_shop_color_switch" href="#GenericTensorNetworks.num_paint_shop_color_switch"><code>GenericTensorNetworks.num_paint_shop_color_switch</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">num_paint_shop_color_switch(sequence::AbstractVector, coloring)</code></pre><p>Returns the number of color switches.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/PaintShop.jl#L92-L96">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.paint_shop_coloring_from_config" href="#GenericTensorNetworks.paint_shop_coloring_from_config"><code>GenericTensorNetworks.paint_shop_coloring_from_config</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">paint_shop_coloring_from_config(p::PaintShop, config)</code></pre><p>Returns a valid painting from the paint shop configuration (given by the configuration solvers). The <code>config</code> is a sequence of 0 and 1, where 0 means painting the first appearence of a car in blue, 1 otherwise.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/PaintShop.jl#L101-L106">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.mis_compactify!" href="#GenericTensorNetworks.mis_compactify!"><code>GenericTensorNetworks.mis_compactify!</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">mis_compactify!(tropicaltensor)</code></pre><p>Compactify tropical tensor for maximum independent set problem. It will eliminate some entries by setting them to zero, by the criteria that removing these entry does not change the MIS size of its parent graph (reference to be added).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/IndependentSet.jl#L80-L86">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CNF" href="#GenericTensorNetworks.CNF"><code>GenericTensorNetworks.CNF</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CNF{T}
 CNF(clauses)</code></pre><p>Boolean expression in <a href="https://en.wikipedia.org/wiki/Conjunctive_normal_form">conjunctive normal form</a>. <code>clauses</code> is a vector of <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a>, if and only if all clauses are satisfied, this CNF is satisfied.</p><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; @bools x y z
 
 julia&gt; cnf = (x ∨ y) ∧ (¬y ∨ z)
@@ -156,23 +156,23 @@
 true
 
 julia&gt; satisfiable(cnf, Dict([:x=&gt;false, :y=&gt;false, :z=&gt;true]))
-false</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L31-L52">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CNFClause" href="#GenericTensorNetworks.CNFClause"><code>GenericTensorNetworks.CNFClause</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CNFClause{T}
-CNFClause(vars)</code></pre><p>A clause in <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>, its value is the logical or of <code>vars</code>, where <code>vars</code> is a vector of <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L17-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.BoolVar" href="#GenericTensorNetworks.BoolVar"><code>GenericTensorNetworks.BoolVar</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">BoolVar{T}
-BoolVar(name, neg)</code></pre><p>Boolean variable for constructing CNF clauses.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L1-L6">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.satisfiable" href="#GenericTensorNetworks.satisfiable"><code>GenericTensorNetworks.satisfiable</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">satisfiable(cnf::CNF, config::AbstractDict)</code></pre><p>Returns true if an assignment of variables satisfies a <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L178-L182">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.@bools" href="#GenericTensorNetworks.@bools"><code>GenericTensorNetworks.@bools</code></a> — <span class="docstring-category">Macro</span></header><section><div><pre><code class="language-julia hljs">@bools(syms::Symbol...)</code></pre><p>Create some boolean variables of type <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a> in current scope that can be used in create a <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; @bools x y z
+false</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L31-L52">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CNFClause" href="#GenericTensorNetworks.CNFClause"><code>GenericTensorNetworks.CNFClause</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CNFClause{T}
+CNFClause(vars)</code></pre><p>A clause in <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>, its value is the logical or of <code>vars</code>, where <code>vars</code> is a vector of <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L17-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.BoolVar" href="#GenericTensorNetworks.BoolVar"><code>GenericTensorNetworks.BoolVar</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">BoolVar{T}
+BoolVar(name, neg)</code></pre><p>Boolean variable for constructing CNF clauses.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L1-L6">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.satisfiable" href="#GenericTensorNetworks.satisfiable"><code>GenericTensorNetworks.satisfiable</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">satisfiable(cnf::CNF, config::AbstractDict)</code></pre><p>Returns true if an assignment of variables satisfies a <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L178-L182">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.@bools" href="#GenericTensorNetworks.@bools"><code>GenericTensorNetworks.@bools</code></a> — <span class="docstring-category">Macro</span></header><section><div><pre><code class="language-julia hljs">@bools(syms::Symbol...)</code></pre><p>Create some boolean variables of type <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a> in current scope that can be used in create a <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; @bools x y z
 
 julia&gt; (x ∨ y) ∧ (¬y ∨ z)
-(x ∨ y) ∧ (¬y ∨ z)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L91-L104">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:∨" href="#GenericTensorNetworks.:∨"><code>GenericTensorNetworks.:∨</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">∨(vars...)</code></pre><p>Logical <code>or</code> applied on <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a> and <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a>. Returns a <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L69-L74">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:¬" href="#GenericTensorNetworks.:¬"><code>GenericTensorNetworks.:¬</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">¬(var::BoolVar)</code></pre><p>Negation of a boolean variables of type <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L62-L66">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:∧" href="#GenericTensorNetworks.:∧"><code>GenericTensorNetworks.:∧</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">∧(vars...)</code></pre><p>Logical <code>and</code> applied on <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a> and <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>. Returns a new <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/Satisfiability.jl#L80-L85">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_valid_mining" href="#GenericTensorNetworks.is_valid_mining"><code>GenericTensorNetworks.is_valid_mining</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_valid_mining(rewards::AbstractMatrix, config)</code></pre><p>Return true if <code>config</code> (a boolean mask for the feasible region) is a valid mining of <code>rewards</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/OpenPitMining.jl#L118-L122">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.print_mining" href="#GenericTensorNetworks.print_mining"><code>GenericTensorNetworks.print_mining</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">print_mining(rewards::AbstractMatrix, config)</code></pre><p>Printing the mining solution in a colored REPL.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/networks/OpenPitMining.jl#L138-L142">source</a></section></article><h2 id="Properties"><a class="docs-heading-anchor" href="#Properties">Properties</a><a id="Properties-1"></a><a class="docs-heading-anchor-permalink" href="#Properties" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.PartitionFunction" href="#GenericTensorNetworks.PartitionFunction"><code>GenericTensorNetworks.PartitionFunction</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">struct PartitionFunction{T} &lt;: GenericTensorNetworks.AbstractProperty</code></pre><ul><li><code>beta</code></li></ul><p>Compute the partition function for the target problem.</p><ul><li>The corresponding tensor element type is <code>T</code>.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L47">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SizeMax" href="#GenericTensorNetworks.SizeMax"><code>GenericTensorNetworks.SizeMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SizeMax{K} &lt;: AbstractProperty
-SizeMax(k::Int)</code></pre><p>The maximum-K set sizes. e.g. the largest size of the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a>  problem is also know as the independence number.</p><ul><li>The corresponding tensor element type are max-plus tropical number <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> if <code>K</code> is <code>Single</code> and <a href="#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> if <code>K</code> is an integer.</li><li>It is compatible with weighted graph problems.</li><li>BLAS (on CPU) and GPU are supported only if <code>K</code> is <code>Single</code>,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L6-L15">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SizeMin" href="#GenericTensorNetworks.SizeMin"><code>GenericTensorNetworks.SizeMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SizeMin{K} &lt;: AbstractProperty
-SizeMin(k::Int)</code></pre><p>The minimum-K set sizes. e.g. the smallest size ofthe <a href="#GenericTensorNetworks.MaximalIS"><code>MaximalIS</code></a> problem is also known as the independent domination number.</p><ul><li>The corresponding tensor element type are inverted max-plus tropical number <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> if <code>K</code> is <code>Single</code> and inverted <a href="#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> <code>K</code> is an integer.</li></ul><p>The inverted Tropical number emulates the min-plus tropical number.</p><ul><li>It is compatible with weighted graph problems.</li><li>BLAS (on CPU) and GPU are supported only if <code>K</code> is <code>Single</code>,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L20-L30">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingAll" href="#GenericTensorNetworks.CountingAll"><code>GenericTensorNetworks.CountingAll</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingAll &lt;: AbstractProperty
-CountingAll()</code></pre><p>Counting the total number of sets. e.g. for the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it counts the independent sets.</p><ul><li>The corresponding tensor element type is <code>Base.Real</code>.</li><li>The weights on graph does not have effect.</li><li>BLAS (GPU and CPU) and GPU are supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L35-L44">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingMax" href="#GenericTensorNetworks.CountingMax"><code>GenericTensorNetworks.CountingMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingMax{K} &lt;: AbstractProperty
-CountingMax(K=Single)</code></pre><p>Counting the number of sets with largest-K size. e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it counts independent sets of size <span>$\alpha(G), \alpha(G)-1, \ldots, \alpha(G)-K+1$</span>.</p><ul><li>The corresponding tensor element type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> if <code>K</code> is <code>Single</code>, and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li><li>GPU is supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L59-L69">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingMin" href="#GenericTensorNetworks.CountingMin"><code>GenericTensorNetworks.CountingMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingMin{K} &lt;: AbstractProperty
-CountingMin(K=Single)</code></pre><p>Counting the number of sets with smallest-K size.</p><ul><li>The corresponding tensor element type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> if <code>K</code> is <code>Single</code>, and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li><li>GPU is supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L74-L83">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.GraphPolynomial" href="#GenericTensorNetworks.GraphPolynomial"><code>GenericTensorNetworks.GraphPolynomial</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">GraphPolynomial{METHOD} &lt;: AbstractProperty
-GraphPolynomial(; method=:finitefield, kwargs...)</code></pre><p>Compute the graph polynomial, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is the independence polynomial. The <code>METHOD</code> type parameter can be one of the following symbols</p><p><strong>Method Argument</strong></p><ul><li><code>:finitefield</code>, uses finite field algebra to fit the polynomial.<ul><li>The corresponding tensor element type is <a href="#Mods.Mod"><code>Mods.Mod</code></a>,</li><li>It does not have round-off error,</li><li>GPU is supported,</li><li>It accepts keyword arguments <code>maxorder</code> (optional, e.g. the MIS size in the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem).</li></ul></li><li><code>:polynomial</code> and <code>:laurent</code>, use (Laurent) polynomial numbers to solve the polynomial directly.<ul><li>The corresponding tensor element types are <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a> and <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomials.LaurentPolynomial"><code>LaurentPolynomial</code></a>.</li><li>It might have small round-off error depending on the data type for storing the counting.</li><li>It has memory overhead that linear to the graph size.</li></ul></li><li><code>:fft</code>, use fast fourier transformation to fit the polynomial.<ul><li>The corresponding tensor element type is <code>Base.Complex</code>.</li><li>It has (controllable) round-off error.</li><li>BLAS and GPU are supported.</li><li>It accepts keyword arguments <code>maxorder</code> (optional) and <code>r</code>,   if <code>r &gt; 1</code>, one has better precision for coefficients of large order, if <code>r &lt; 1</code>,   one has better precision for coefficients of small order.</li></ul></li><li><code>:fitting</code>, fit the polynomial directly.<ul><li>The corresponding tensor element type is floating point numbers like <code>Base.Float64</code>.</li><li>It has round-off error.</li><li>BLAS and GPU are supported, it is the fastest among all methods.</li></ul></li></ul><p>Graph polynomials are not defined for weighted graph problems.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L88-L119">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SingleConfigMax" href="#GenericTensorNetworks.SingleConfigMax"><code>GenericTensorNetworks.SingleConfigMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SingleConfigMax{K, BOUNDED} &lt;: AbstractProperty
-SingleConfigMax(k::Int; bounded=false)</code></pre><p>Finding single solution for largest-K sizes, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is one of the maximum independent sets.</p><ul><li>The corresponding data type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical{Float64,&lt;:ConfigSampler}</code></a> if <code>BOUNDED</code> is <code>false</code>, <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> otherwise.</li><li>Weighted graph problems is supported.</li><li>GPU is supported,</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L126-L139">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SingleConfigMin" href="#GenericTensorNetworks.SingleConfigMin"><code>GenericTensorNetworks.SingleConfigMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SingleConfigMin{K, BOUNDED} &lt;: AbstractProperty
-SingleConfigMin(k::Int; bounded=false)</code></pre><p>Finding single solution with smallest-K size.</p><ul><li>The corresponding data type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical{Float64,&lt;:ConfigSampler}</code></a> if <code>BOUNDED</code> is <code>false</code>, inverted <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> otherwise.</li><li>Weighted graph problems is supported.</li><li>GPU is supported,</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L144-L157">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsAll" href="#GenericTensorNetworks.ConfigsAll"><code>GenericTensorNetworks.ConfigsAll</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsAll{TREESTORAGE} &lt;:AbstractProperty
-ConfigsAll(; tree_storage=false)</code></pre><p>Find all valid configurations, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is finding all independent sets.</p><ul><li>The corresponding data type is <a href="#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>.</li><li>Weights do not take effect.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L162-L174">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsMax" href="#GenericTensorNetworks.ConfigsMax"><code>GenericTensorNetworks.ConfigsMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsMax{K, BOUNDED, TREESTORAGE} &lt;:AbstractProperty
-ConfigsMax(K=Single; bounded=true, tree_storage=true)</code></pre><p>Find configurations with largest-K sizes, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is finding all independent sets of sizes <span>$\alpha(G), \alpha(G)-1, \ldots, \alpha(G)-K+1$</span>.</p><ul><li>The corresponding data type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,&lt;:ConfigEnumerator}</code> if <code>K</code> is <code>Single</code> and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K,&lt;:ConfigEnumerator}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L179-L193">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsMin" href="#GenericTensorNetworks.ConfigsMin"><code>GenericTensorNetworks.ConfigsMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsMin{K, BOUNDED, TREESTORAGE} &lt;:AbstractProperty
-ConfigsMin(K=Single; bounded=true, tree_storage=false)</code></pre><p>Find configurations with smallest-K sizes.</p><ul><li>The corresponding data type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,&lt;:ConfigEnumerator}</code> if <code>K</code> is <code>Single</code> and inverted <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K,&lt;:ConfigEnumerator}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L199-L212">source</a></section></article><h2 id="Element-Algebras"><a class="docs-heading-anchor" href="#Element-Algebras">Element Algebras</a><a id="Element-Algebras-1"></a><a class="docs-heading-anchor-permalink" href="#Element-Algebras" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_commutative_semiring" href="#GenericTensorNetworks.is_commutative_semiring"><code>GenericTensorNetworks.is_commutative_semiring</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_commutative_semiring(a::T, b::T, c::T) where T</code></pre><p>Check if elements <code>a</code>, <code>b</code> and <code>c</code> satisfied the commutative semiring requirements.</p><p class="math-container">\[\begin{align*}
+(x ∨ y) ∧ (¬y ∨ z)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L91-L104">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:∨" href="#GenericTensorNetworks.:∨"><code>GenericTensorNetworks.:∨</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">∨(vars...)</code></pre><p>Logical <code>or</code> applied on <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a> and <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a>. Returns a <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L69-L74">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:¬" href="#GenericTensorNetworks.:¬"><code>GenericTensorNetworks.:¬</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">¬(var::BoolVar)</code></pre><p>Negation of a boolean variables of type <a href="#GenericTensorNetworks.BoolVar"><code>BoolVar</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L62-L66">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.:∧" href="#GenericTensorNetworks.:∧"><code>GenericTensorNetworks.:∧</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">∧(vars...)</code></pre><p>Logical <code>and</code> applied on <a href="#GenericTensorNetworks.CNFClause"><code>CNFClause</code></a> and <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>. Returns a new <a href="#GenericTensorNetworks.CNF"><code>CNF</code></a>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/Satisfiability.jl#L80-L85">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_valid_mining" href="#GenericTensorNetworks.is_valid_mining"><code>GenericTensorNetworks.is_valid_mining</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_valid_mining(rewards::AbstractMatrix, config)</code></pre><p>Return true if <code>config</code> (a boolean mask for the feasible region) is a valid mining of <code>rewards</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/OpenPitMining.jl#L118-L122">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.print_mining" href="#GenericTensorNetworks.print_mining"><code>GenericTensorNetworks.print_mining</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">print_mining(rewards::AbstractMatrix, config)</code></pre><p>Printing the mining solution in a colored REPL.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/networks/OpenPitMining.jl#L138-L142">source</a></section></article><h2 id="Properties"><a class="docs-heading-anchor" href="#Properties">Properties</a><a id="Properties-1"></a><a class="docs-heading-anchor-permalink" href="#Properties" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.PartitionFunction" href="#GenericTensorNetworks.PartitionFunction"><code>GenericTensorNetworks.PartitionFunction</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">struct PartitionFunction{T} &lt;: GenericTensorNetworks.AbstractProperty</code></pre><ul><li><code>beta</code></li></ul><p>Compute the partition function for the target problem.</p><ul><li>The corresponding tensor element type is <code>T</code>.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L47">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SizeMax" href="#GenericTensorNetworks.SizeMax"><code>GenericTensorNetworks.SizeMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SizeMax{K} &lt;: AbstractProperty
+SizeMax(k::Int)</code></pre><p>The maximum-K set sizes. e.g. the largest size of the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a>  problem is also know as the independence number.</p><ul><li>The corresponding tensor element type are max-plus tropical number <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> if <code>K</code> is <code>Single</code> and <a href="#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> if <code>K</code> is an integer.</li><li>It is compatible with weighted graph problems.</li><li>BLAS (on CPU) and GPU are supported only if <code>K</code> is <code>Single</code>,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L6-L15">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SizeMin" href="#GenericTensorNetworks.SizeMin"><code>GenericTensorNetworks.SizeMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SizeMin{K} &lt;: AbstractProperty
+SizeMin(k::Int)</code></pre><p>The minimum-K set sizes. e.g. the smallest size ofthe <a href="#GenericTensorNetworks.MaximalIS"><code>MaximalIS</code></a> problem is also known as the independent domination number.</p><ul><li>The corresponding tensor element type are inverted max-plus tropical number <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> if <code>K</code> is <code>Single</code> and inverted <a href="#GenericTensorNetworks.ExtendedTropical"><code>ExtendedTropical</code></a> <code>K</code> is an integer.</li></ul><p>The inverted Tropical number emulates the min-plus tropical number.</p><ul><li>It is compatible with weighted graph problems.</li><li>BLAS (on CPU) and GPU are supported only if <code>K</code> is <code>Single</code>,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L20-L30">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingAll" href="#GenericTensorNetworks.CountingAll"><code>GenericTensorNetworks.CountingAll</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingAll &lt;: AbstractProperty
+CountingAll()</code></pre><p>Counting the total number of sets. e.g. for the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it counts the independent sets.</p><ul><li>The corresponding tensor element type is <code>Base.Real</code>.</li><li>The weights on graph does not have effect.</li><li>BLAS (GPU and CPU) and GPU are supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L35-L44">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingMax" href="#GenericTensorNetworks.CountingMax"><code>GenericTensorNetworks.CountingMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingMax{K} &lt;: AbstractProperty
+CountingMax(K=Single)</code></pre><p>Counting the number of sets with largest-K size. e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it counts independent sets of size <span>$\alpha(G), \alpha(G)-1, \ldots, \alpha(G)-K+1$</span>.</p><ul><li>The corresponding tensor element type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> if <code>K</code> is <code>Single</code>, and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li><li>GPU is supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L59-L69">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.CountingMin" href="#GenericTensorNetworks.CountingMin"><code>GenericTensorNetworks.CountingMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingMin{K} &lt;: AbstractProperty
+CountingMin(K=Single)</code></pre><p>Counting the number of sets with smallest-K size.</p><ul><li>The corresponding tensor element type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a> if <code>K</code> is <code>Single</code>, and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li><li>GPU is supported,</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L74-L83">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.GraphPolynomial" href="#GenericTensorNetworks.GraphPolynomial"><code>GenericTensorNetworks.GraphPolynomial</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">GraphPolynomial{METHOD} &lt;: AbstractProperty
+GraphPolynomial(; method=:finitefield, kwargs...)</code></pre><p>Compute the graph polynomial, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is the independence polynomial. The <code>METHOD</code> type parameter can be one of the following symbols</p><p><strong>Method Argument</strong></p><ul><li><code>:finitefield</code>, uses finite field algebra to fit the polynomial.<ul><li>The corresponding tensor element type is <a href="#Mods.Mod"><code>Mods.Mod</code></a>,</li><li>It does not have round-off error,</li><li>GPU is supported,</li><li>It accepts keyword arguments <code>maxorder</code> (optional, e.g. the MIS size in the <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem).</li></ul></li><li><code>:polynomial</code> and <code>:laurent</code>, use (Laurent) polynomial numbers to solve the polynomial directly.<ul><li>The corresponding tensor element types are <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a> and <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomials.LaurentPolynomial"><code>LaurentPolynomial</code></a>.</li><li>It might have small round-off error depending on the data type for storing the counting.</li><li>It has memory overhead that linear to the graph size.</li></ul></li><li><code>:fft</code>, use fast fourier transformation to fit the polynomial.<ul><li>The corresponding tensor element type is <code>Base.Complex</code>.</li><li>It has (controllable) round-off error.</li><li>BLAS and GPU are supported.</li><li>It accepts keyword arguments <code>maxorder</code> (optional) and <code>r</code>,   if <code>r &gt; 1</code>, one has better precision for coefficients of large order, if <code>r &lt; 1</code>,   one has better precision for coefficients of small order.</li></ul></li><li><code>:fitting</code>, fit the polynomial directly.<ul><li>The corresponding tensor element type is floating point numbers like <code>Base.Float64</code>.</li><li>It has round-off error.</li><li>BLAS and GPU are supported, it is the fastest among all methods.</li></ul></li></ul><p>Graph polynomials are not defined for weighted graph problems.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L88-L119">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SingleConfigMax" href="#GenericTensorNetworks.SingleConfigMax"><code>GenericTensorNetworks.SingleConfigMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SingleConfigMax{K, BOUNDED} &lt;: AbstractProperty
+SingleConfigMax(k::Int; bounded=false)</code></pre><p>Finding single solution for largest-K sizes, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is one of the maximum independent sets.</p><ul><li>The corresponding data type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical{Float64,&lt;:ConfigSampler}</code></a> if <code>BOUNDED</code> is <code>false</code>, <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> otherwise.</li><li>Weighted graph problems is supported.</li><li>GPU is supported,</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L126-L139">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SingleConfigMin" href="#GenericTensorNetworks.SingleConfigMin"><code>GenericTensorNetworks.SingleConfigMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SingleConfigMin{K, BOUNDED} &lt;: AbstractProperty
+SingleConfigMin(k::Int; bounded=false)</code></pre><p>Finding single solution with smallest-K size.</p><ul><li>The corresponding data type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical{Float64,&lt;:ConfigSampler}</code></a> if <code>BOUNDED</code> is <code>false</code>, inverted <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> otherwise.</li><li>Weighted graph problems is supported.</li><li>GPU is supported,</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L144-L157">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsAll" href="#GenericTensorNetworks.ConfigsAll"><code>GenericTensorNetworks.ConfigsAll</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsAll{TREESTORAGE} &lt;:AbstractProperty
+ConfigsAll(; tree_storage=false)</code></pre><p>Find all valid configurations, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is finding all independent sets.</p><ul><li>The corresponding data type is <a href="#GenericTensorNetworks.ConfigEnumerator"><code>ConfigEnumerator</code></a>.</li><li>Weights do not take effect.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L162-L174">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsMax" href="#GenericTensorNetworks.ConfigsMax"><code>GenericTensorNetworks.ConfigsMax</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsMax{K, BOUNDED, TREESTORAGE} &lt;:AbstractProperty
+ConfigsMax(K=Single; bounded=true, tree_storage=true)</code></pre><p>Find configurations with largest-K sizes, e.g. for <a href="#GenericTensorNetworks.IndependentSet"><code>IndependentSet</code></a> problem, it is finding all independent sets of sizes <span>$\alpha(G), \alpha(G)-1, \ldots, \alpha(G)-K+1$</span>.</p><ul><li>The corresponding data type is <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,&lt;:ConfigEnumerator}</code> if <code>K</code> is <code>Single</code> and <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K,&lt;:ConfigEnumerator}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L179-L193">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigsMin" href="#GenericTensorNetworks.ConfigsMin"><code>GenericTensorNetworks.ConfigsMin</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigsMin{K, BOUNDED, TREESTORAGE} &lt;:AbstractProperty
+ConfigsMin(K=Single; bounded=true, tree_storage=false)</code></pre><p>Find configurations with smallest-K sizes.</p><ul><li>The corresponding data type is inverted <a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a><code>{Float64,&lt;:ConfigEnumerator}</code> if <code>K</code> is <code>Single</code> and inverted <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a><code>{K,&lt;:ConfigEnumerator}</code> if <code>K</code> is an integer.</li><li>Weighted graph problems is only supported if <code>K</code> is <code>Single</code>.</li></ul><p><strong>Keyword Arguments</strong></p><ul><li><code>bounded</code>, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.</li><li><code>tree_storage</code>, if it is true, it uses more memory efficient tree-structure to store the configurations.</li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L199-L212">source</a></section></article><h2 id="Element-Algebras"><a class="docs-heading-anchor" href="#Element-Algebras">Element Algebras</a><a id="Element-Algebras-1"></a><a class="docs-heading-anchor-permalink" href="#Element-Algebras" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.is_commutative_semiring" href="#GenericTensorNetworks.is_commutative_semiring"><code>GenericTensorNetworks.is_commutative_semiring</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">is_commutative_semiring(a::T, b::T, c::T) where T</code></pre><p>Check if elements <code>a</code>, <code>b</code> and <code>c</code> satisfied the commutative semiring requirements.</p><p class="math-container">\[\begin{align*}
 (a \oplus b) \oplus c = a \oplus (b \oplus c) &amp; \hspace{5em}\triangleright\text{commutative monoid $\oplus$ with identity $\mathbb{0}$}\\
 a \oplus \mathbb{0} = \mathbb{0} \oplus a = a &amp;\\
 a \oplus b = b \oplus a &amp;\\
@@ -185,7 +185,7 @@
 (a\oplus b) \odot c = a\odot c \oplus b\odot c &amp;\\
 &amp;\\
 a \odot \mathbb{0} = \mathbb{0} \odot a = \mathbb{0}
-\end{align*}\]</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L8-L28">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="TropicalNumbers.Tropical" href="#TropicalNumbers.Tropical"><code>TropicalNumbers.Tropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">TropicalMaxPlus{T} = Tropical{T} &lt;: AbstractSemiring</code></pre><p>TropicalMaxPlus is a semiring algebra, can be described by</p><ul><li>Tropical (TropicalMaxPlus), (ℝ, max, +, -Inf, 0).</li></ul><p>It maps</p><ul><li><code>+</code> to <code>max</code> in regular algebra,</li><li><code>*</code> to <code>+</code> in regular algebra,</li><li><code>1</code> to <code>0</code> in regular algebra,</li><li><code>0</code> to <code>-Inf</code> in regular algebra (for integer content types, this is chosen as a small integer).</li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; TropicalMaxPlus(1.0) + TropicalMaxPlus(3.0)
+\end{align*}\]</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L8-L28">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="TropicalNumbers.Tropical" href="#TropicalNumbers.Tropical"><code>TropicalNumbers.Tropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">TropicalMaxPlus{T} = Tropical{T} &lt;: AbstractSemiring</code></pre><p>TropicalMaxPlus is a semiring algebra, can be described by</p><ul><li>Tropical (TropicalMaxPlus), (ℝ, max, +, -Inf, 0).</li></ul><p>It maps</p><ul><li><code>+</code> to <code>max</code> in regular algebra,</li><li><code>*</code> to <code>+</code> in regular algebra,</li><li><code>1</code> to <code>0</code> in regular algebra,</li><li><code>0</code> to <code>-Inf</code> in regular algebra (for integer content types, this is chosen as a small integer).</li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; TropicalMaxPlus(1.0) + TropicalMaxPlus(3.0)
 3.0ₜ
 
 julia&gt; TropicalMaxPlus(1.0) * TropicalMaxPlus(3.0)
@@ -195,7 +195,7 @@
 0.0ₜ
 
 julia&gt; zero(TropicalMaxPlusF64)
--Infₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TensorBFS/TropicalNumbers.jl/blob/v0.6.1/src/tropical_maxplus.jl#L10-L37">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="TropicalNumbers.CountingTropical" href="#TropicalNumbers.CountingTropical"><code>TropicalNumbers.CountingTropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingTropical{T,CT} &lt;: Number</code></pre><p>Counting tropical number type is also a semiring algebra. It is tropical algebra with one extra field for counting, it is introduced in <a href="https://arxiv.org/abs/2008.06888">arXiv:2008.06888</a>.</p><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; CountingTropical(1.0, 5.0) + CountingTropical(3.0, 2.0)
+-Infₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TensorBFS/TropicalNumbers.jl/blob/v0.6.2/src/tropical_maxplus.jl#L10-L37">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="TropicalNumbers.CountingTropical" href="#TropicalNumbers.CountingTropical"><code>TropicalNumbers.CountingTropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">CountingTropical{T,CT} &lt;: Number</code></pre><p>Counting tropical number type is also a semiring algebra. It is tropical algebra with one extra field for counting, it is introduced in <a href="https://arxiv.org/abs/2008.06888">arXiv:2008.06888</a>.</p><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; CountingTropical(1.0, 5.0) + CountingTropical(3.0, 2.0)
 (3.0, 2.0)ₜ
 
 julia&gt; CountingTropical(1.0, 5.0) * CountingTropical(3.0, 2.0)
@@ -205,7 +205,7 @@
 (0.0, 1.0)ₜ
 
 julia&gt; zero(CountingTropicalF64)
-(-Inf, 0.0)ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TensorBFS/TropicalNumbers.jl/blob/v0.6.1/src/counting_tropical.jl#L1-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ExtendedTropical" href="#GenericTensorNetworks.ExtendedTropical"><code>GenericTensorNetworks.ExtendedTropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ExtendedTropical{K,TO} &lt;: Number
+(-Inf, 0.0)ₜ</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/TensorBFS/TropicalNumbers.jl/blob/v0.6.2/src/counting_tropical.jl#L1-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ExtendedTropical" href="#GenericTensorNetworks.ExtendedTropical"><code>GenericTensorNetworks.ExtendedTropical</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ExtendedTropical{K,TO} &lt;: Number
 ExtendedTropical{K}(orders)</code></pre><p>Extended Tropical numbers with largest <code>K</code> orders keeped, or the <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a> without coefficients, <code>TO</code> is the element type of orders, usually <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> numbers. This algebra maps</p><ul><li><code>+</code> to finding largest <code>K</code> values of union of two sets.</li><li><code>*</code> to finding largest <code>K</code> values of sum combination of two sets.</li><li><code>0</code> to set [-Inf, -Inf, ..., -Inf, -Inf]</li><li><code>1</code> to set [-Inf, -Inf, ..., -Inf, 0]</li></ul><p><strong>Fields</strong></p><ul><li><code>orders</code> is a vector of <a href="#TropicalNumbers.Tropical"><code>Tropical</code></a> (<a href="#TropicalNumbers.CountingTropical"><code>CountingTropical</code></a>) numbers as the largest-K solution sizes (solutions).</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; x = ExtendedTropical{3}(Tropical.([1.0, 2, 3]))
 ExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[1.0ₜ, 2.0ₜ, 3.0ₜ])
 
@@ -222,7 +222,7 @@
 ExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, 0.0ₜ])
 
 julia&gt; zero(x)
-ExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, -Infₜ])</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L185-L224">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="Mods.Mod" href="#Mods.Mod"><code>Mods.Mod</code></a> — <span class="docstring-category">Type</span></header><section><div><p><code>Mod{m}(v)</code> creates a modular number in mod <code>m</code> with value <code>mod(v,m)</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/scheinerman/Mods.jl/blob/v1.3.3/src/Mods.jl#L12-L14">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.TruncatedPoly" href="#GenericTensorNetworks.TruncatedPoly"><code>GenericTensorNetworks.TruncatedPoly</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">TruncatedPoly{K,T,TO} &lt;: Number
+ExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, -Infₜ])</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L185-L224">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="Mods.Mod" href="#Mods.Mod"><code>Mods.Mod</code></a> — <span class="docstring-category">Type</span></header><section><div><p><code>Mod{m}(v)</code> creates a modular number in mod <code>m</code> with value <code>mod(v,m)</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/scheinerman/Mods.jl/blob/v1.3.3/src/Mods.jl#L12-L14">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.TruncatedPoly" href="#GenericTensorNetworks.TruncatedPoly"><code>GenericTensorNetworks.TruncatedPoly</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">TruncatedPoly{K,T,TO} &lt;: Number
 TruncatedPoly(coeffs::Tuple, maxorder)</code></pre><p>Polynomial truncated to largest <code>K</code> orders. <code>T</code> is the coefficients type and <code>TO</code> is the orders type.</p><p><strong>Fields</strong></p><ul><li><code>coeffs</code> is the largest-K coefficients of a polynomial. In <code>GenericTensorNetworks</code>, it can be the counting or enumeration of solutions.</li><li><code>maxorder</code> is the order of a polynomial.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; TruncatedPoly((1,2,3), 6)
 x^4 + 2*x^5 + 3*x^6
 
@@ -230,8 +230,8 @@
 20*x^7 + 8*x^8 + 3*x^9
 
 julia&gt; TruncatedPoly((1,2,3), 6) + TruncatedPoly((5,2,1), 3)
-x^4 + 2*x^5 + 3*x^6</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L79-L102">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Max2Poly" href="#GenericTensorNetworks.Max2Poly"><code>GenericTensorNetworks.Max2Poly</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Max2Poly{T,TO} = TruncatedPoly{2,T,TO}
-Max2Poly(a, b, maxorder)</code></pre><p>A shorthand of <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a>{2}.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L109-L114">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigEnumerator" href="#GenericTensorNetworks.ConfigEnumerator"><code>GenericTensorNetworks.ConfigEnumerator</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigEnumerator{N,S,C} &lt;: AbstractSetNumber</code></pre><p>Set algebra for enumerating configurations, where <code>N</code> is the length of configurations, <code>C</code> is the size of storage in unit of <code>UInt64</code>, <code>S</code> is the bit width to store a single element in a configuration, i.e. <code>log2(# of flavors)</code>, for bitstrings, it is <code>1</code>`.</p><p><strong>Fields</strong></p><ul><li><code>data</code> is a vector of <a href="#GenericTensorNetworks.StaticElementVector"><code>StaticElementVector</code></a> as the solution set.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; a = ConfigEnumerator([StaticBitVector([1,1,1,0,0]), StaticBitVector([1,0,0,0,1])])
+x^4 + 2*x^5 + 3*x^6</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L79-L102">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.Max2Poly" href="#GenericTensorNetworks.Max2Poly"><code>GenericTensorNetworks.Max2Poly</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">Max2Poly{T,TO} = TruncatedPoly{2,T,TO}
+Max2Poly(a, b, maxorder)</code></pre><p>A shorthand of <a href="#GenericTensorNetworks.TruncatedPoly"><code>TruncatedPoly</code></a>{2}.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L109-L114">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigEnumerator" href="#GenericTensorNetworks.ConfigEnumerator"><code>GenericTensorNetworks.ConfigEnumerator</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigEnumerator{N,S,C} &lt;: AbstractSetNumber</code></pre><p>Set algebra for enumerating configurations, where <code>N</code> is the length of configurations, <code>C</code> is the size of storage in unit of <code>UInt64</code>, <code>S</code> is the bit width to store a single element in a configuration, i.e. <code>log2(# of flavors)</code>, for bitstrings, it is <code>1</code>`.</p><p><strong>Fields</strong></p><ul><li><code>data</code> is a vector of <a href="#GenericTensorNetworks.StaticElementVector"><code>StaticElementVector</code></a> as the solution set.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; a = ConfigEnumerator([StaticBitVector([1,1,1,0,0]), StaticBitVector([1,0,0,0,1])])
 {11100, 10001}
 
 julia&gt; b = ConfigEnumerator([StaticBitVector([0,0,0,0,0]), StaticBitVector([1,0,1,0,1])])
@@ -244,7 +244,7 @@
 {00000}
 
 julia&gt; zero(a)
-{}</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L381-L410">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SumProductTree" href="#GenericTensorNetworks.SumProductTree"><code>GenericTensorNetworks.SumProductTree</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SumProductTree{ET} &lt;: AbstractSetNumber</code></pre><p>Configuration enumerator encoded in a tree, it is the most natural representation given by a sum-product network and is often more memory efficient than putting the configurations in a vector. One can use <a href="#GenericTensorNetworks.generate_samples"><code>generate_samples</code></a> to sample configurations from this tree structure efficiently.</p><p><strong>Fields</strong></p><ul><li><code>tag</code> is one of <code>ZERO</code>, <code>ONE</code>, <code>LEAF</code>, <code>SUM</code>, <code>PROD</code>.</li><li><code>data</code> is the element stored in a <code>LEAF</code> node.</li><li><code>left</code> and <code>right</code> are two operands of a <code>SUM</code> or <code>PROD</code> node.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; s = SumProductTree(bv&quot;00111&quot;)
+{}</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L381-L410">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SumProductTree" href="#GenericTensorNetworks.SumProductTree"><code>GenericTensorNetworks.SumProductTree</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">SumProductTree{ET} &lt;: AbstractSetNumber</code></pre><p>Configuration enumerator encoded in a tree, it is the most natural representation given by a sum-product network and is often more memory efficient than putting the configurations in a vector. One can use <a href="#GenericTensorNetworks.generate_samples"><code>generate_samples</code></a> to sample configurations from this tree structure efficiently.</p><p><strong>Fields</strong></p><ul><li><code>tag</code> is one of <code>ZERO</code>, <code>ONE</code>, <code>LEAF</code>, <code>SUM</code>, <code>PROD</code>.</li><li><code>data</code> is the element stored in a <code>LEAF</code> node.</li><li><code>left</code> and <code>right</code> are two operands of a <code>SUM</code> or <code>PROD</code> node.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; s = SumProductTree(bv&quot;00111&quot;)
 00111
 
 
@@ -283,7 +283,7 @@
 julia&gt; one(s)
 00000
 
-</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L502-L559">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigSampler" href="#GenericTensorNetworks.ConfigSampler"><code>GenericTensorNetworks.ConfigSampler</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigSampler{N,S,C} &lt;: AbstractSetNumber
+</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L502-L559">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.ConfigSampler" href="#GenericTensorNetworks.ConfigSampler"><code>GenericTensorNetworks.ConfigSampler</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">ConfigSampler{N,S,C} &lt;: AbstractSetNumber
 ConfigSampler(elements::StaticElementVector)</code></pre><p>The algebra for sampling one configuration, where <code>N</code> is the length of configurations, <code>C</code> is the size of storage in unit of <code>UInt64</code>, <code>S</code> is the bit width to store a single element in a configuration, i.e. <code>log2(# of flavors)</code>, for bitstrings, it is <code>1</code>`.</p><div class="admonition is-info"><header class="admonition-header">Note</header><div class="admonition-body"><p><code>ConfigSampler</code> is a <strong>probabilistic</strong> commutative semiring, adding two config samplers do not give you deterministic results.</p></div></div><p><strong>Fields</strong></p><ul><li><code>data</code> is a <a href="#GenericTensorNetworks.StaticElementVector"><code>StaticElementVector</code></a> as the sampled solution.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; ConfigSampler(StaticBitVector([1,1,1,0,0]))
 ConfigSampler{5, 1, 1}(11100)
 
@@ -297,7 +297,7 @@
 ConfigSampler{5, 1, 1}(00000)
 
 julia&gt; zero(ConfigSampler{5, 1, 1})
-ConfigSampler{5, 1, 1}(11111)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L446-L479">source</a></section></article><p><code>GenericTensorNetworks</code> also exports the <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a> and <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomials.LaurentPolynomial"><code>LaurentPolynomial</code></a> types defined in package <code>Polynomials</code>.</p><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.StaticBitVector" href="#GenericTensorNetworks.StaticBitVector"><code>GenericTensorNetworks.StaticBitVector</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">StaticBitVector{N,C} = StaticElementVector{N,1,C}
+ConfigSampler{5, 1, 1}(11111)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L446-L479">source</a></section></article><p><code>GenericTensorNetworks</code> also exports the <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomial-2"><code>Polynomial</code></a> and <a href="https://juliamath.github.io/Polynomials.jl/stable/polynomials/polynomial/#Polynomials.LaurentPolynomial"><code>LaurentPolynomial</code></a> types defined in package <code>Polynomials</code>.</p><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.StaticBitVector" href="#GenericTensorNetworks.StaticBitVector"><code>GenericTensorNetworks.StaticBitVector</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">StaticBitVector{N,C} = StaticElementVector{N,1,C}
 StaticBitVector(x::AbstractVector)</code></pre><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; sb = StaticBitVector([1,0,0,1,1])
 10011
 
@@ -310,7 +310,7 @@
  0
  0
  1
- 1</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/bitvector.jl#L98-L119">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.StaticElementVector" href="#GenericTensorNetworks.StaticElementVector"><code>GenericTensorNetworks.StaticElementVector</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">StaticElementVector{N,S,C}
+ 1</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/bitvector.jl#L98-L119">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.StaticElementVector" href="#GenericTensorNetworks.StaticElementVector"><code>GenericTensorNetworks.StaticElementVector</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">StaticElementVector{N,S,C}
 StaticElementVector(nflavor::Int, x::AbstractVector)</code></pre><p><code>N</code> is the length of vector, <code>C</code> is the size of storage in unit of <code>UInt64</code>, <code>S</code> is the stride defined as the <code>log2(# of flavors)</code>. When the number of flavors is 2, it is a <code>StaticBitVector</code>.</p><p><strong>Fields</strong></p><ul><li><code>data</code> is a tuple of <code>UInt64</code> for storing the configuration of static elements.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; ev = StaticElementVector(3, [1,2,0,1,2])
 12012
 
@@ -323,9 +323,9 @@
  2
  0
  1
- 2</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/bitvector.jl#L1-L30">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.OnehotVec" href="#GenericTensorNetworks.OnehotVec"><code>GenericTensorNetworks.OnehotVec</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">OnehotVec{N,NF}
-OnehotVec{N,NF}(loc, val)</code></pre><p>Onehot vector type, <code>N</code> is the number of vector length, <code>NF</code> is the number of flavors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L586-L591">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.save_configs" href="#GenericTensorNetworks.save_configs"><code>GenericTensorNetworks.save_configs</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">save_configs(filename, data::ConfigEnumerator; format=:binary)</code></pre><p>Save configurations <code>data</code> to file <code>filename</code>. The format is <code>:binary</code> or <code>:text</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/fileio.jl#L1-L5">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.load_configs" href="#GenericTensorNetworks.load_configs"><code>GenericTensorNetworks.load_configs</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">load_configs(filename; format=:binary, bitlength=nothing, nflavors=2)</code></pre><p>Load configurations from file <code>filename</code>. The format is <code>:binary</code> or <code>:text</code>. If the format is <code>:binary</code>, the bitstring length <code>bitlength</code> must be specified, <code>nflavors</code> specifies the degree of freedom.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/fileio.jl#L16-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.save_sumproduct" href="#GenericTensorNetworks.save_sumproduct"><code>GenericTensorNetworks.save_sumproduct</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">save_sumproduct(filename, t::SumProductTree)</code></pre><p>Serialize a sum-product tree into a file.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/fileio.jl#L85-L89">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.load_sumproduct" href="#GenericTensorNetworks.load_sumproduct"><code>GenericTensorNetworks.load_sumproduct</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">load_sumproduct(filename)</code></pre><p>Deserialize a sum-product tree from a file.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/fileio.jl#L92-L96">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.@bv_str" href="#GenericTensorNetworks.@bv_str"><code>GenericTensorNetworks.@bv_str</code></a> — <span class="docstring-category">Macro</span></header><section><div><p>Constructing a static bit vector.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/bitvector.jl#L170-L172">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.onehotv" href="#GenericTensorNetworks.onehotv"><code>GenericTensorNetworks.onehotv</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">onehotv(::Type{&lt;:StaticElementVector}, i, v)
-onehotv(::Type{&lt;:StaticBitVector, i)</code></pre><p>Returns a static element vector, with the value at location <code>i</code> being <code>v</code> (1 if not specified).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/bitvector.jl#L85-L90">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.generate_samples" href="#GenericTensorNetworks.generate_samples"><code>GenericTensorNetworks.generate_samples</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">generate_samples(t::SumProductTree, nsamples::Int)</code></pre><p>Direct sampling configurations from a <a href="#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> instance.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
+ 2</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/bitvector.jl#L1-L30">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.OnehotVec" href="#GenericTensorNetworks.OnehotVec"><code>GenericTensorNetworks.OnehotVec</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">OnehotVec{N,NF}
+OnehotVec{N,NF}(loc, val)</code></pre><p>Onehot vector type, <code>N</code> is the number of vector length, <code>NF</code> is the number of flavors.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L586-L591">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.save_configs" href="#GenericTensorNetworks.save_configs"><code>GenericTensorNetworks.save_configs</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">save_configs(filename, data::ConfigEnumerator; format=:binary)</code></pre><p>Save configurations <code>data</code> to file <code>filename</code>. The format is <code>:binary</code> or <code>:text</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/fileio.jl#L1-L5">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.load_configs" href="#GenericTensorNetworks.load_configs"><code>GenericTensorNetworks.load_configs</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">load_configs(filename; format=:binary, bitlength=nothing, nflavors=2)</code></pre><p>Load configurations from file <code>filename</code>. The format is <code>:binary</code> or <code>:text</code>. If the format is <code>:binary</code>, the bitstring length <code>bitlength</code> must be specified, <code>nflavors</code> specifies the degree of freedom.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/fileio.jl#L16-L22">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.save_sumproduct" href="#GenericTensorNetworks.save_sumproduct"><code>GenericTensorNetworks.save_sumproduct</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">save_sumproduct(filename, t::SumProductTree)</code></pre><p>Serialize a sum-product tree into a file.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/fileio.jl#L85-L89">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.load_sumproduct" href="#GenericTensorNetworks.load_sumproduct"><code>GenericTensorNetworks.load_sumproduct</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">load_sumproduct(filename)</code></pre><p>Deserialize a sum-product tree from a file.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/fileio.jl#L92-L96">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.@bv_str" href="#GenericTensorNetworks.@bv_str"><code>GenericTensorNetworks.@bv_str</code></a> — <span class="docstring-category">Macro</span></header><section><div><p>Constructing a static bit vector.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/bitvector.jl#L170-L172">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.onehotv" href="#GenericTensorNetworks.onehotv"><code>GenericTensorNetworks.onehotv</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">onehotv(::Type{&lt;:StaticElementVector}, i, v)
+onehotv(::Type{&lt;:StaticBitVector, i)</code></pre><p>Returns a static element vector, with the value at location <code>i</code> being <code>v</code> (1 if not specified).</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/bitvector.jl#L85-L90">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.generate_samples" href="#GenericTensorNetworks.generate_samples"><code>GenericTensorNetworks.generate_samples</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">generate_samples(t::SumProductTree, nsamples::Int)</code></pre><p>Direct sampling configurations from a <a href="#GenericTensorNetworks.SumProductTree"><code>SumProductTree</code></a> instance.</p><p><strong>Examples</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
 
 julia&gt; g= smallgraph(:petersen)
 {10, 15} undirected simple Int64 graph
@@ -335,7 +335,7 @@
 julia&gt; samples = generate_samples(t, 1000);
 
 julia&gt; all(s-&gt;is_independent_set(g, s), samples)
-true</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/arithematics.jl#L712-L732">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.hamming_distribution" href="#GenericTensorNetworks.hamming_distribution"><code>GenericTensorNetworks.hamming_distribution</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">hamming_distribution(S, T)</code></pre><p>Compute the distribution of pair-wise Hamming distances, which is defined as:</p><p class="math-container">\[c(k) := \sum_{\sigma\in S, \tau\in T} \delta({\rm dist}(\sigma, \tau), k)\]</p><p>where <span>$\delta$</span> is a function that returns 1 if two arguments are equivalent, 0 otherwise, <span>${\rm dist}$</span> is the Hamming distance function.</p><p>Returns the counting as a vector.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/configurations.jl#L95-L106">source</a></section></article><h2 id="Tensor-Network"><a class="docs-heading-anchor" href="#Tensor-Network">Tensor Network</a><a id="Tensor-Network-1"></a><a class="docs-heading-anchor-permalink" href="#Tensor-Network" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="OMEinsumContractionOrders.optimize_code" href="#OMEinsumContractionOrders.optimize_code"><code>OMEinsumContractionOrders.optimize_code</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">optimize_code(eincode, size_dict, optimizer = GreedyMethod(), simplifier=nothing, permute=true) -&gt; optimized_eincode</code></pre><p>Optimize the einsum contraction code and reduce the time/space complexity of tensor network contraction. Returns a <code>NestedEinsum</code> instance. Input arguments are</p><ul><li><code>eincode</code> is an einsum contraction code instance, one of <code>DynamicEinCode</code>, <code>StaticEinCode</code> or <code>NestedEinsum</code>.</li><li><code>size</code> is a dictionary of &quot;edge label=&gt;edge size&quot; that contains the size information, one can use <code>uniformsize(eincode, 2)</code> to create a uniform size.</li><li><code>optimizer</code> is a <code>CodeOptimizer</code> instance, should be one of <code>GreedyMethod</code>, <code>KaHyParBipartite</code>, <code>SABipartite</code> or <code>TreeSA</code>. Check their docstrings for details.</li><li><code>simplifier</code> is one of <code>MergeVectors</code> or <code>MergeGreedy</code>.</li><li>optimize the permutation if <code>permute</code> is true.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia hljs">julia&gt; using OMEinsum
+true</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/arithematics.jl#L712-L732">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.hamming_distribution" href="#GenericTensorNetworks.hamming_distribution"><code>GenericTensorNetworks.hamming_distribution</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">hamming_distribution(S, T)</code></pre><p>Compute the distribution of pair-wise Hamming distances, which is defined as:</p><p class="math-container">\[c(k) := \sum_{\sigma\in S, \tau\in T} \delta({\rm dist}(\sigma, \tau), k)\]</p><p>where <span>$\delta$</span> is a function that returns 1 if two arguments are equivalent, 0 otherwise, <span>${\rm dist}$</span> is the Hamming distance function.</p><p>Returns the counting as a vector.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/configurations.jl#L95-L106">source</a></section></article><h2 id="Tensor-Network"><a class="docs-heading-anchor" href="#Tensor-Network">Tensor Network</a><a id="Tensor-Network-1"></a><a class="docs-heading-anchor-permalink" href="#Tensor-Network" title="Permalink"></a></h2><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="OMEinsumContractionOrders.optimize_code" href="#OMEinsumContractionOrders.optimize_code"><code>OMEinsumContractionOrders.optimize_code</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">optimize_code(eincode, size_dict, optimizer = GreedyMethod(), simplifier=nothing, permute=true) -&gt; optimized_eincode</code></pre><p>Optimize the einsum contraction code and reduce the time/space complexity of tensor network contraction. Returns a <code>NestedEinsum</code> instance. Input arguments are</p><ul><li><code>eincode</code> is an einsum contraction code instance, one of <code>DynamicEinCode</code>, <code>StaticEinCode</code> or <code>NestedEinsum</code>.</li><li><code>size</code> is a dictionary of &quot;edge label=&gt;edge size&quot; that contains the size information, one can use <code>uniformsize(eincode, 2)</code> to create a uniform size.</li><li><code>optimizer</code> is a <code>CodeOptimizer</code> instance, should be one of <code>GreedyMethod</code>, <code>KaHyParBipartite</code>, <code>SABipartite</code> or <code>TreeSA</code>. Check their docstrings for details.</li><li><code>simplifier</code> is one of <code>MergeVectors</code> or <code>MergeGreedy</code>.</li><li>optimize the permutation if <code>permute</code> is true.</li></ul><p><strong>Examples</strong></p><pre><code class="language-julia hljs">julia&gt; using OMEinsum
 
 julia&gt; code = ein&quot;ij, jk, kl, il-&gt;&quot;
 ij, jk, kl, il -&gt; </code></pre><pre><code class="nohighlight hljs">julia&gt; optimize_code(code, uniformsize(code, 2), TreeSA())
@@ -357,7 +357,7 @@
     property::GenericTensorNetworks.AbstractProperty;
     T
 ) -&gt; Any
-</code></pre><p>Memory estimation in number of bytes to compute certain <code>property</code> of a <code>problem</code>. <code>T</code> is the base type.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/interfaces.jl#L395">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="OMEinsum.@ein_str" href="#OMEinsum.@ein_str"><code>OMEinsum.@ein_str</code></a> — <span class="docstring-category">Macro</span></header><section><div><pre><code class="language-julia hljs">ein&quot;ij,jk -&gt; ik&quot;(A,B)</code></pre><p>String macro interface which understands <code>numpy.einsum</code>&#39;s notation. Translates strings into <code>StaticEinCode</code>-structs that can be called to evaluate an <code>einsum</code>. To control evaluation order, use parentheses - instead of an <code>EinCode</code>, a <code>NestedEinsum</code> is returned which evaluates the expression according to parens. The valid character ranges for index-labels are <code>a-z</code> and <code>α-ω</code>.</p><p><strong>example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; a, b, c = rand(10,10), rand(10,10), rand(10,1);
+</code></pre><p>Memory estimation in number of bytes to compute certain <code>property</code> of a <code>problem</code>. <code>T</code> is the base type.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/interfaces.jl#L395">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="OMEinsum.@ein_str" href="#OMEinsum.@ein_str"><code>OMEinsum.@ein_str</code></a> — <span class="docstring-category">Macro</span></header><section><div><pre><code class="language-julia hljs">ein&quot;ij,jk -&gt; ik&quot;(A,B)</code></pre><p>String macro interface which understands <code>numpy.einsum</code>&#39;s notation. Translates strings into <code>StaticEinCode</code>-structs that can be called to evaluate an <code>einsum</code>. To control evaluation order, use parentheses - instead of an <code>EinCode</code>, a <code>NestedEinsum</code> is returned which evaluates the expression according to parens. The valid character ranges for index-labels are <code>a-z</code> and <code>α-ω</code>.</p><p><strong>example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; a, b, c = rand(10,10), rand(10,10), rand(10,1);
 
 julia&gt; ein&quot;ij,jk,kl -&gt; il&quot;(a,b,c) ≈ ein&quot;(ij,jk),kl -&gt; il&quot;(a,b,c) ≈ a * b * c
 true</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/under-Peter/OMEinsum.jl/blob/v0.7.5/src/interfaces.jl#L1-L20">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="OMEinsumContractionOrders.GreedyMethod" href="#OMEinsumContractionOrders.GreedyMethod"><code>OMEinsumContractionOrders.GreedyMethod</code></a> — <span class="docstring-category">Type</span></header><section><div><pre><code class="language-julia hljs">GreedyMethod{MT}
@@ -380,13 +380,12 @@
     vertex_stroke_colors=nothing,
     vertex_text_colors=nothing,
     edge_colors=nothing,
-    edge_line_widths=nothing,
     texts = nothing,
-    format=DEFAULT_FORMAT[],
+    format=GraphDisplayConfig.format[],
     filename=nothing,
-    kwargs...)</code></pre><p>Show a graph in VSCode, Pluto or Jupyter notebook, or save it to a file.</p><p><strong>Positional arguments</strong></p><ul><li><code>f</code> is a function that returns extra <code>Luxor</code> plotting statements.</li><li><code>graph</code> is a graph instance.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>layout</code> is one of [:auto, :spring, :stress], the default value is <code>:spring</code> if locs is <code>nothing</code>.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>spring_mask</code> specfies which location is optimizable for <code>spring</code> optimizer.</p></li><li><p><code>vertex_colors</code> is a vector of color strings for specifying vertex fill colors.</p></li><li><p><code>vertex_sizes</code> is a vector of real numbers for specifying vertex sizes.</p></li><li><p><code>vertex_shapes</code> is a vector of strings for specifying vertex shapes, the string should be &quot;circle&quot; or &quot;box&quot;.</p></li><li><p><code>vertex_stroke_colors</code> is a vector of color strings for specifying vertex stroke colors.</p></li><li><p><code>vertex_text_colors</code> is a vector of color strings for specifying vertex text colors.</p></li><li><p><code>edge_colors</code> is a vector of color strings for specifying edge colors.</p></li><li><p><code>edge_line_widths</code> is a vector of real numbers for specifying edge line widths.</p></li><li><p><code>texts</code> is a vector of strings for labeling vertices.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
+    kwargs...)</code></pre><p>Show a graph in VSCode, Pluto or Jupyter notebook, or save it to a file.</p><p><strong>Positional arguments</strong></p><ul><li><code>f</code> is a function that returns extra <code>Luxor</code> plotting statements.</li><li><code>graph</code> is a graph instance.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>layout</code> is one of [:auto, :spring, :stress], the default value is <code>:spring</code> if locs is <code>nothing</code>.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>spring_mask</code> specfies which location is optimizable for <code>spring</code> optimizer.</p></li><li><p><code>vertex_colors</code> is a vector of color strings for specifying vertex fill colors.</p></li><li><p><code>vertex_sizes</code> is a vector of real numbers for specifying vertex sizes.</p></li><li><p><code>vertex_shapes</code> is a vector of strings for specifying vertex shapes, the string should be &quot;circle&quot; or &quot;box&quot;.</p></li><li><p><code>vertex_stroke_colors</code> is a vector of color strings for specifying vertex stroke colors.</p></li><li><p><code>vertex_text_colors</code> is a vector of color strings for specifying vertex text colors.</p></li><li><p><code>edge_colors</code> is a vector of color strings for specifying edge colors.</p></li><li><p><code>texts</code> is a vector of strings for labeling vertices.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
 
-julia&gt; show_graph(smallgraph(:petersen); format=:png, vertex_colors=rand([&quot;blue&quot;, &quot;red&quot;], 10));</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/GiggleLiu/LuxorGraphPlot.jl/blob/v0.2.1/src/graphplot.jl#L70-L122">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="LuxorGraphPlot.show_gallery" href="#LuxorGraphPlot.show_gallery"><code>LuxorGraphPlot.show_gallery</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">show_gallery([f, ]graph::SimpleGraph, grid::Tuple{Int,Int};
+julia&gt; show_graph(smallgraph(:petersen); format=:png, vertex_colors=rand([&quot;blue&quot;, &quot;red&quot;], 10));</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/GiggleLiu/LuxorGraphPlot.jl/blob/v0.3.0/src/graphplot.jl#L87-L137">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="LuxorGraphPlot.show_gallery" href="#LuxorGraphPlot.show_gallery"><code>LuxorGraphPlot.show_gallery</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">show_gallery([f, ]graph::SimpleGraph, grid::Tuple{Int,Int};
     locs=nothing,
     layout=:auto,
     optimal_distance=1.0,
@@ -396,7 +395,6 @@
     edge_configs=nothing,
     vertex_color=nothing,
     edge_color=nothing,
-    edge_line_widths=nothing,
 
     vertex_sizes=nothing,
     vertex_shapes=nothing,
@@ -405,11 +403,11 @@
     texts=nothing,
     xpad=1.0,
     ypad=1.0,
-    format=DEFAULT_FORMAT[],
+    format=GraphDisplayConfig.format[],
     filename=nothing,
-    kwargs...)</code></pre><p>Show a gallery of graphs for multiple vertex configurations or edge configurations in VSCode, Pluto or Jupyter notebook, or save it to a file.</p><p><strong>Positional arguments</strong></p><ul><li><code>f</code> is a function that returns extra <code>Luxor</code> plotting statements.</li><li><code>graph</code> is a graph instance.</li><li><code>grid</code> is the grid layout of the gallery, e.g. input value <code>(2, 3)</code> means a grid layout with 2 rows and 3 columns.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>layout</code> is one of [:auto, :spring, :stress], the default value is <code>:spring</code> if locs is <code>nothing</code>.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>spring_mask</code> specfies which location is optimizable for <code>spring</code> optimizer.</p></li><li><p><code>vertex_configs</code> is an iterator of bit strings for specifying vertex configurations. It will be rendered as vertex colors.</p></li><li><p><code>edge_configs</code> is an iterator of bit strings for specifying edge configurations. It will be rendered as edge colors.</p></li><li><p><code>edge_color</code> is a dictionary that specifies the edge configuration - color map.</p></li><li><p><code>edge_line_widths</code> is a vector of real numbers for specifying edge line widths.</p></li><li><p><code>vertex_color</code> is a dictionary that specifies the vertex configuration - color map.</p></li><li><p><code>vertex_sizes</code> is a vector of real numbers for specifying vertex sizes.</p></li><li><p><code>vertex_shapes</code> is a vector of strings for specifying vertex shapes, the string should be &quot;circle&quot; or &quot;box&quot;.</p></li><li><p><code>vertex_stroke_colors</code> is a vector of color strings for specifying vertex stroke colors.</p></li><li><p><code>vertex_text_colors</code> is a vector of color strings for specifying vertex text colors.</p></li><li><p><code>texts</code> is a vector of strings for labeling vertices.</p></li><li><p><code>xpad</code> is the space between two adjacent plots in x direction.</p></li><li><p><code>ypad</code> is the space between two adjacent plots in y direction.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
+    kwargs...)</code></pre><p>Show a gallery of graphs for multiple vertex configurations or edge configurations in VSCode, Pluto or Jupyter notebook, or save it to a file.</p><p><strong>Positional arguments</strong></p><ul><li><code>f</code> is a function that returns extra <code>Luxor</code> plotting statements.</li><li><code>graph</code> is a graph instance.</li><li><code>grid</code> is the grid layout of the gallery, e.g. input value <code>(2, 3)</code> means a grid layout with 2 rows and 3 columns.</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>layout</code> is one of [:auto, :spring, :stress], the default value is <code>:spring</code> if locs is <code>nothing</code>.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>spring_mask</code> specfies which location is optimizable for <code>spring</code> optimizer.</p></li><li><p><code>vertex_configs</code> is an iterator of bit strings for specifying vertex configurations. It will be rendered as vertex colors.</p></li><li><p><code>edge_configs</code> is an iterator of bit strings for specifying edge configurations. It will be rendered as edge colors.</p></li><li><p><code>edge_color</code> is a dictionary that specifies the edge configuration - color map.</p></li><li><p><code>vertex_color</code> is a dictionary that specifies the vertex configuration - color map.</p></li><li><p><code>vertex_sizes</code> is a vector of real numbers for specifying vertex sizes.</p></li><li><p><code>vertex_shapes</code> is a vector of strings for specifying vertex shapes, the string should be &quot;circle&quot; or &quot;box&quot;.</p></li><li><p><code>vertex_stroke_colors</code> is a vector of color strings for specifying vertex stroke colors.</p></li><li><p><code>vertex_text_colors</code> is a vector of color strings for specifying vertex text colors.</p></li><li><p><code>texts</code> is a vector of strings for labeling vertices.</p></li><li><p><code>xpad</code> is the space between two adjacent plots in x direction.</p></li><li><p><code>ypad</code> is the space between two adjacent plots in y direction.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul><p><strong>Example</strong></p><pre><code class="language-julia-repl hljs">julia&gt; using Graphs
 
-julia&gt; show_gallery(smallgraph(:petersen), (2, 3); format=:png, vertex_configs=[rand(Bool, 10) for k=1:6]);</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/GiggleLiu/LuxorGraphPlot.jl/blob/v0.2.1/src/graphplot.jl#L301-L366">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.show_einsum" href="#GenericTensorNetworks.show_einsum"><code>GenericTensorNetworks.show_einsum</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">show_einsum(ein::AbstractEinsum;
+julia&gt; show_gallery(smallgraph(:petersen), (2, 3); format=:png, vertex_configs=[rand(Bool, 10) for k=1:6]);</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/GiggleLiu/LuxorGraphPlot.jl/blob/v0.3.0/src/graphplot.jl#L296-L359">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.show_einsum" href="#GenericTensorNetworks.show_einsum"><code>GenericTensorNetworks.show_einsum</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">show_einsum(ein::AbstractEinsum;
     tensor_locs=nothing,
     label_locs=nothing,  # dict
     spring::Bool=true,
@@ -425,7 +423,7 @@
     open_label_color=&quot;red&quot;,
     annotate_labels=true,
     kwargs...
-    )</code></pre><p><strong>Positional arguments</strong></p><ul><li><code>ein</code> is an Einsum contraction code (provided by package <code>OMEinsum</code>).</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>tensor_locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>label_locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>spring</code> is switch to use spring method to optimize the location.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>tensor_color</code> is a string to specify the color of tensor nodes.</p></li><li><p><code>tensor_size</code> is a real number to specify the size of tensor nodes.</p></li><li><p><code>tensor_text_color</code> is a color strings to specify tensor text color.</p></li><li><p><code>annotate_tensors</code> is a boolean switch for annotate different tensors by integers.</p></li><li><p><code>label_size</code> is a real number to specify label text node size.</p></li><li><p><code>label_color</code> is a color strings to specify label text color.</p></li><li><p><code>open_label_color</code> is a color strings to specify open label text color.</p></li><li><p><code>annotate_labels</code> is a boolean switch for annotate different labels.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/visualize.jl#L1-L45">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.diagonal_coupled_graph" href="#GenericTensorNetworks.diagonal_coupled_graph"><code>GenericTensorNetworks.diagonal_coupled_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">diagonal_coupled_graph(mask::AbstractMatrix{Bool})</code></pre><p>Create a masked diagonal coupled square lattice graph from a specified <code>mask</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L37-L41">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.square_lattice_graph" href="#GenericTensorNetworks.square_lattice_graph"><code>GenericTensorNetworks.square_lattice_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">square_lattice_graph(mask::AbstractMatrix{Bool})</code></pre><p>Create a masked square lattice graph.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L11-L15">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.unit_disk_graph" href="#GenericTensorNetworks.unit_disk_graph"><code>GenericTensorNetworks.unit_disk_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">unit_disk_graph(locs::AbstractVector, unit::Real)</code></pre><p>Create a unit disk graph with locations specified by <code>locs</code> and unit distance <code>unit</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L47-L51">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.line_graph" href="#GenericTensorNetworks.line_graph"><code>GenericTensorNetworks.line_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">line_graph(g::SimpleGraph)</code></pre><p>Returns the line graph of <code>g</code>. The line graph is generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L63-L68">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.random_diagonal_coupled_graph" href="#GenericTensorNetworks.random_diagonal_coupled_graph"><code>GenericTensorNetworks.random_diagonal_coupled_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">random_diagonal_coupled_graph(m::Int, n::Int, ρ::Real)</code></pre><p>Create a <span>$m\times n$</span> random masked diagonal coupled square lattice graph,  with number of vertices equal to <span>$\lfloor m \times n\times \rho \rceil$</span>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L21-L26">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.random_square_lattice_graph" href="#GenericTensorNetworks.random_square_lattice_graph"><code>GenericTensorNetworks.random_square_lattice_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">random_square_lattice_graph(m::Int, n::Int, ρ::Real)</code></pre><p>Create a random masked square lattice graph, with number of vertices fixed to <span>$\lfloor mn\rho \rceil$</span>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/graphs.jl#L1-L5">source</a></section></article><p>One can also use <code>random_regular_graph</code> and <code>smallgraph</code> in <a href="https://github.com/JuliaGraphs/Graphs.jl">Graphs</a> to build special graphs.</p><h4 id="Multiprocessing"><a class="docs-heading-anchor" href="#Multiprocessing">Multiprocessing</a><a id="Multiprocessing-1"></a><a class="docs-heading-anchor-permalink" href="#Multiprocessing" title="Permalink"></a></h4><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run" href="#GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run"><code>GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">multiprocess_run(func, inputs::AbstractVector)</code></pre><p>Execute function <code>func</code> on <code>inputs</code> with multiple processing.</p><p><strong>Example</strong></p><p>Suppose we have a file <code>run.jl</code> with the following contents</p><pre><code class="language-julia hljs">using GenericTensorNetworks.SimpleMultiprocessing
+    )</code></pre><p><strong>Positional arguments</strong></p><ul><li><code>ein</code> is an Einsum contraction code (provided by package <code>OMEinsum</code>).</li></ul><p><strong>Keyword arguments</strong></p><ul><li><p><code>tensor_locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>label_locs</code> is a vector of tuples for specifying the vertex locations.</p></li><li><p><code>spring</code> is switch to use spring method to optimize the location.</p></li><li><p><code>optimal_distance</code> is a optimal distance parameter for <code>spring</code> optimizer.</p></li><li><p><code>tensor_color</code> is a string to specify the color of tensor nodes.</p></li><li><p><code>tensor_size</code> is a real number to specify the size of tensor nodes.</p></li><li><p><code>tensor_text_color</code> is a color strings to specify tensor text color.</p></li><li><p><code>annotate_tensors</code> is a boolean switch for annotate different tensors by integers.</p></li><li><p><code>label_size</code> is a real number to specify label text node size.</p></li><li><p><code>label_color</code> is a color strings to specify label text color.</p></li><li><p><code>open_label_color</code> is a color strings to specify open label text color.</p></li><li><p><code>annotate_labels</code> is a boolean switch for annotate different labels.</p></li><li><p><code>format</code> is the output format, which can be <code>:svg</code>, <code>:png</code> or <code>:pdf</code>.</p></li><li><p><code>filename</code> is a string as the output filename.</p></li></ul><p><strong>Extra keyword arguments</strong></p><ul><li>general<ul><li><code>xpad::Float64 = 1.0</code>, the padding space in x direction</li><li><code>ypad::Float64 = 1.0</code>, the padding space in y direction</li><li><code>xpad_right::Float64 = 1.0</code>, the padding space in x direction (right side)</li><li><code>ypad_bottom::Float64 = 1.0</code>, the padding space in y direction (bottom side)</li><li><code>background_color = DEFAULT_BACKGROUND_COLOR[]</code>, the background color</li><li><code>unit::Float64 = DEFAULT_UNIT[]</code>, the unit distance as the number of pixels</li><li><code>fontsize::Float64 = DEFAULT_FONTSIZE[]</code>, the font size</li><li><code>fontface::String = &quot;&quot;</code>, the font face, leave empty to follow system</li></ul></li><li>vertex<ul><li><code>vertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[]</code>, the default text color</li><li><code>vertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[]</code>, the default stroke color for vertices</li><li><code>vertex_color = DEFAULT_VERTEX_FILL_COLOR[]</code>, the default default fill color for vertices</li><li><code>vertex_size::Float64 = DEFAULT_VERTEX_SIZE[]</code>, the default vertex size</li><li><code>vertex_shape::String = &quot;circle&quot;</code>, the default vertex shape, which can be &quot;circle&quot; or &quot;box&quot;</li><li><code>vertex_line_width::Float64 = 1</code>, the default vertex stroke line width</li><li><code>vertex_line_style::String = &quot;solid&quot;</code>, the line style of vertex stroke, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li><li>edge<ul><li><code>edge_color = DEFAULT_EDGE_COLOR[]</code>, the default edge color</li><li><code>edge_line_width::Float64 = 1</code>, the default line width</li><li><code>edge_style::String = &quot;solid&quot;</code>, the line style of edges, which can be one of [&quot;solid&quot;, &quot;dotted&quot;, &quot;dot&quot;, &quot;dotdashed&quot;, &quot;longdashed&quot;, &quot;shortdashed&quot;, &quot;dash&quot;, &quot;dashed&quot;, &quot;dotdotdashed&quot;, &quot;dotdotdotdashed&quot;]</li></ul></li></ul></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/visualize.jl#L1-L45">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.diagonal_coupled_graph" href="#GenericTensorNetworks.diagonal_coupled_graph"><code>GenericTensorNetworks.diagonal_coupled_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">diagonal_coupled_graph(mask::AbstractMatrix{Bool})</code></pre><p>Create a masked diagonal coupled square lattice graph from a specified <code>mask</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L37-L41">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.square_lattice_graph" href="#GenericTensorNetworks.square_lattice_graph"><code>GenericTensorNetworks.square_lattice_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">square_lattice_graph(mask::AbstractMatrix{Bool})</code></pre><p>Create a masked square lattice graph.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L11-L15">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.unit_disk_graph" href="#GenericTensorNetworks.unit_disk_graph"><code>GenericTensorNetworks.unit_disk_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">unit_disk_graph(locs::AbstractVector, unit::Real)</code></pre><p>Create a unit disk graph with locations specified by <code>locs</code> and unit distance <code>unit</code>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L47-L51">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.line_graph" href="#GenericTensorNetworks.line_graph"><code>GenericTensorNetworks.line_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">line_graph(g::SimpleGraph)</code></pre><p>Returns the line graph of <code>g</code>. The line graph is generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L63-L68">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.random_diagonal_coupled_graph" href="#GenericTensorNetworks.random_diagonal_coupled_graph"><code>GenericTensorNetworks.random_diagonal_coupled_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">random_diagonal_coupled_graph(m::Int, n::Int, ρ::Real)</code></pre><p>Create a <span>$m\times n$</span> random masked diagonal coupled square lattice graph,  with number of vertices equal to <span>$\lfloor m \times n\times \rho \rceil$</span>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L21-L26">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.random_square_lattice_graph" href="#GenericTensorNetworks.random_square_lattice_graph"><code>GenericTensorNetworks.random_square_lattice_graph</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">random_square_lattice_graph(m::Int, n::Int, ρ::Real)</code></pre><p>Create a random masked square lattice graph, with number of vertices fixed to <span>$\lfloor mn\rho \rceil$</span>.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/graphs.jl#L1-L5">source</a></section></article><p>One can also use <code>random_regular_graph</code> and <code>smallgraph</code> in <a href="https://github.com/JuliaGraphs/Graphs.jl">Graphs</a> to build special graphs.</p><h4 id="Multiprocessing"><a class="docs-heading-anchor" href="#Multiprocessing">Multiprocessing</a><a id="Multiprocessing-1"></a><a class="docs-heading-anchor-permalink" href="#Multiprocessing" title="Permalink"></a></h4><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run" href="#GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run"><code>GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">multiprocess_run(func, inputs::AbstractVector)</code></pre><p>Execute function <code>func</code> on <code>inputs</code> with multiple processing.</p><p><strong>Example</strong></p><p>Suppose we have a file <code>run.jl</code> with the following contents</p><pre><code class="language-julia hljs">using GenericTensorNetworks.SimpleMultiprocessing
 
 results = multiprocess_run(x-&gt;x^2, randn(8))</code></pre><p>In an terminal, you may run the script with 4 processes by typing</p><pre><code class="language-bash hljs">$ julia -p4 run.jl
       From worker 2:	[ Info: running argument -0.17544008350172655 on device 2
@@ -435,4 +433,4 @@
       From worker 2:	[ Info: running argument 0.013132180639054629 on device 2
       From worker 3:	[ Info: running argument 0.9960101782201602 on device 3
       From worker 4:	[ Info: running argument -0.5613942832743966 on device 4
-      From worker 5:	[ Info: running argument 0.39460402723831134 on device 5</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/a571d027e935386ec72d6c6122bcd7475d80b06c/src/multiprocessing.jl#L14-L40">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../performancetips/">« Performance Tips</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+      From worker 5:	[ Info: running argument 0.39460402723831134 on device 5</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/QuEraComputing/GenericTensorNetworks.jl/blob/2c6c388aa802838aa585343517306901881028c9/src/multiprocessing.jl#L14-L40">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../performancetips/">« Performance Tips</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
diff --git a/dev/search_index.js b/dev/search_index.js
index ce11971c..f332a38b 100644
--- a/dev/search_index.js
+++ b/dev/search_index.js
@@ -1,3 +1,3 @@
 var documenterSearchIndex = {"docs":
-[{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"EditURL = \"../../../examples/IndependentSet.jl\"","category":"page"},{"location":"generated/IndependentSet/#Independent-set-problem","page":"Independent set problem","title":"Independent set problem","text":"","category":"section"},{"location":"generated/IndependentSet/#Problem-definition","page":"Independent set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"In graph theory, an independent set is a set of vertices in a graph, no two of which are adjacent.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"In the following, we are going to solve the solution space properties of the independent set problem on the Petersen graph. To start, let us define a Petersen graph instance.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can visualize this graph using the show_graph function","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"# set the vertex locations manually instead of using the default spring layout\nrot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The graphical display is available in the following editors","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"a VSCode editor,\na Jupyter notebook,\nor a Pluto notebook,","category":"page"},{"location":"generated/IndependentSet/#Generic-tensor-network-representation","page":"Independent set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The generic tensor network representation of the independent set problem can be constructed with IndependentSet.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"problem = IndependentSet(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Here, the key word argument optimizer specifies the tensor network contraction order optimizer as a local search based optimizer TreeSA. The resulting contraction order optimized tensor network is contained in the code field of problem.","category":"page"},{"location":"generated/IndependentSet/#Theory-(can-skip)","page":"Independent set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Let G=(V E) be a graph with each vertex vin V associated with a weight w_v. To reduce the independent set problem on it to a tensor network contraction, we first map a vertex vin V to a label s_v in 0 1 of dimension 2, where we use 0 (1) to denote a vertex absent (present) in the set. For each vertex v, we defined a parameterized rank-one tensor indexed by s_v as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"W(x_v^w_v) = left(beginmatrix\n    1 \n    x_v^w_v\n    endmatrixright)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"where x_v is a variable associated with v. Similarly, for each edge (u v) in E, we define a matrix B indexed by s_u and s_v as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"B = left(beginmatrix\n1   1\n1  0\nendmatrixright)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Ideally, an optimal contraction order has a space complexity 2^rm tw(G), where rm tw(G) is the tree-width of G (or graph in the code). We can check the time, space and read-write complexities by typing","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"For more information about how to improve the contraction order, please check the Performance Tips.","category":"page"},{"location":"generated/IndependentSet/#Solution-space-properties","page":"Independent set problem","title":"Solution space properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Maximum-independent-set-size-\\alpha(G)","page":"Independent set problem","title":"Maximum independent set size alpha(G)","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can compute solution space properties with the solve function, which takes two positional arguments, the problem instance and the wanted property.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"maximum_independent_set_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Here SizeMax means finding the solution with maximum set size. The return value has Tropical type. We can get its content by typing","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"maximum_independent_set_size.n","category":"page"},{"location":"generated/IndependentSet/#Counting-properties","page":"Independent set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Count-all-solutions-and-best-several-solutions","page":"Independent set problem","title":"Count all solutions and best several solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count all independent sets with the CountingAll property.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_all_independent_sets = solve(problem, CountingAll())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type Float64. The counting of all independent sets is equivalent to the infinite temperature partition function","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"solve(problem, PartitionFunction(0.0))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count the maximum independent sets with CountingMax.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_maximum_independent_sets = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical, which contains two fields. They are n being the maximum independent set size and c being the number of the maximum independent sets.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_maximum_independent_sets.c","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Similarly, we can count independent sets of sizes alpha(G) and alpha(G)-1 by feeding an integer positional argument to CountingMax.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_max2_independent_sets = solve(problem, CountingMax(2))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type TruncatedPoly, which contains two fields. They are maxorder being the maximum independent set size and coeffs being the number of independent sets having sizes alpha(G)-1 and alpha(G).","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_max2_independent_sets.coeffs","category":"page"},{"location":"generated/IndependentSet/#Find-the-graph-polynomial","page":"Independent set problem","title":"Find the graph polynomial","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count the number of independent sets at any size, which is equivalent to finding the coefficients of an independence polynomial that defined as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"I(G x) = sum_k=0^alpha(G) a_k x^k","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"where alpha(G) is the maximum independent set size, a_k is the number of independent sets of size k. The total number of independent sets is thus equal to I(G 1). There are 3 methods to compute a graph polynomial, :finitefield, :fft and :polynomial. These methods are introduced in the docstring of GraphPolynomial.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"independence_polynomial = solve(problem, GraphPolynomial(; method=:finitefield))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return type is Polynomial.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"independence_polynomial.coeffs","category":"page"},{"location":"generated/IndependentSet/#Configuration-properties","page":"Independent set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Find-one-best-solution","page":"Independent set problem","title":"Find one best solution","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use the bounded or unbounded SingleConfigMax to find one of the solutions with largest size. The unbounded (default) version uses a joint type of CountingTropical and ConfigSampler in computation, where CountingTropical finds the maximum size and ConfigSampler samples one of the best solutions. The bounded version uses the binary gradient back-propagation (see our paper) to compute the gradients. It requires caching intermediate states, but is often faster (on CPU) because it can use TropicalGEMM (see Performance Tips).","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"max_config = solve(problem, SingleConfigMax(; bounded=false))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical with its counting field having ConfigSampler type. The data field of ConfigSampler is a bit string that corresponds to the solution","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"single_solution = max_config.c.data","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"This bit string should be read from left to right, with the i-th bit being 1 (0) to indicate the i-th vertex is present (absent) in the set. We can visualize this MIS with the following function.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"show_graph(graph; locs=locations, format=:svg, vertex_colors=\n    [iszero(single_solution[i]) ? \"white\" : \"red\" for i=1:nv(graph)])","category":"page"},{"location":"generated/IndependentSet/#Enumerate-all-solutions-and-best-several-solutions","page":"Independent set problem","title":"Enumerate all solutions and best several solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use bounded or unbounded ConfigsMax to find all solutions with largest-K set sizes. In most cases, the bounded (default) version is preferred because it can reduce the memory usage significantly.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_max_configs = solve(problem, ConfigsMax(; bounded=true))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical, while its counting field having type ConfigEnumerator. The data field of a ConfigEnumerator instance contains a vector of bit strings.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_max_configs.c.data","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"These solutions can be visualized with the show_gallery function.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"show_gallery(graph, (1, length(all_max_configs.c)); locs=locations, vertex_configs=all_max_configs.c, format=:svg)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use ConfigsAll to enumerate all sets satisfying the independence constraint.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_independent_sets = solve(problem, ConfigsAll())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type ConfigEnumerator.","category":"page"},{"location":"generated/IndependentSet/#Sample-solutions","page":"Independent set problem","title":"Sample solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"It is often difficult to store all configurations in a vector. A more clever way to store the data is using the sum product tree format.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has the SumProductTree type. Its length corresponds to the number of configurations.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"length(all_independent_sets_tree)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use Base.collect function to create a ConfigEnumerator or use generate_samples to generate samples from it.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"collect(all_independent_sets_tree)\n\ngenerate_samples(all_independent_sets_tree, 10)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"EditURL = \"../../../examples/PaintShop.jl\"","category":"page"},{"location":"generated/PaintShop/#Binary-paint-shop-problem","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/PaintShop/#Problem-Definition","page":"Binary paint shop problem","title":"Problem Definition","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The binary paint shop problem is defined as follows: we are given a 2m length sequence containing m cars, where each car appears twice. Each car need to be colored red in one occurrence, and blue in the other. We need to choose which occurrence for each car to color with which color — the goal is to minimize the number of times we need to change the current color.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"In the following, we use a character to represent a car, and defined a binary paint shop problem as a string that each character appear exactly twice.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"using GenericTensorNetworks, Graphs\n\nsequence = collect(\"iadgbeadfcchghebif\")","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"We can visualize this paint shop problem as a graph","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"rot(a, b, θ) = cos(θ)*a + sin(θ)*b, cos(θ)*b - sin(θ)*a\n\nlocations = [rot(0.0, 2.0, -0.25π - 1.5*π*(i-0.5)/length(sequence)) for i=1:length(sequence)]\n\ngraph = path_graph(length(sequence))\nfor i=1:length(sequence)\n    j = findlast(==(sequence[i]), sequence)\n    i != j && add_edge!(graph, i, j)\nend\n\nshow_graph(graph; locs=locations, texts=string.(sequence), format=:svg, edge_colors=\n    [sequence[e.src] == sequence[e.dst] ? \"blue\" : \"black\" for e in edges(graph)])","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Vertices connected by blue edges must have different colors, and the goal becomes a min-cut problem defined on black edges.","category":"page"},{"location":"generated/PaintShop/#Generic-tensor-network-representation","page":"Binary paint shop problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Let us construct the problem instance as bellow.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"problem = PaintShop(sequence);\nnothing #hide","category":"page"},{"location":"generated/PaintShop/#Theory-(can-skip)","page":"Binary paint shop problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Type PaintShop can be used for constructing the tensor network with optimized contraction order for solving a binary paint shop problem. To obtain its tensor network representation, we associating car c_i (the i-th character in our example) with a degree of freedom s_c_i in 0 1, where we use 0 to denote the first appearance of a car is colored red and 1 to denote the first appearance of a car is colored blue. For each black edges (i i+1), we define an edge tensor labeled by (s_c_i s_c_i+1) as follows: If both cars on this edge are their first or second appearance","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"B^rm parallel = left(beginmatrix\nx  1 \n1  x \nendmatrixright)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"otherwise,","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"B^rm anti-parallel = left(beginmatrix\n1  x \nx  1 \nendmatrixright)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"It can be understood as, when both cars are their first appearance, they tend to have the same configuration so that the color is not changed. Otherwise, they tend to have different configuration to keep the color unchanged.","category":"page"},{"location":"generated/PaintShop/#Counting-properties","page":"Binary paint shop problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/PaintShop/#graph-polynomial","page":"Binary paint shop problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The graph polynomial defined for the maximal independent set problem is","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"I_rm max(G x) = sum_k=0^alpha(G) b_k x^k","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"where b_k is the number of maximal independent sets of size k in graph G=(V E).","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"max_config = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Since it only counts the maximal independent sets, the first several coefficients are 0.","category":"page"},{"location":"generated/PaintShop/#Counting-properties-2","page":"Binary paint shop problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/PaintShop/#graph-polynomial-2","page":"Binary paint shop problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The graph polynomial of the binary paint shop problem in our convention is defined as","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"P(G x) = sum_k=0^delta(G) p_k x^k","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"where p_k is the number of possible coloring with number of color changes 2m-1-k.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"paint_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/PaintShop/#Configuration-properties","page":"Binary paint shop problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/PaintShop/#finding-best-solutions","page":"Binary paint shop problem","title":"finding best solutions","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"best_configs = solve(problem, ConfigsMin())[]","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"One can see to identical bitstrings corresponding two different vertex configurations, they are related to bit-flip symmetry.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"painting1 = paint_shop_coloring_from_config(problem, best_configs.c.data[1])\n\nshow_graph(graph; locs=locations, format=:svg, texts=string.(sequence),\n    edge_colors=[sequence[e.src] == sequence[e.dst] ? \"blue\" : \"black\" for e in edges(graph)],\n    vertex_colors=[isone(c) ? \"red\" : \"black\" for c in painting1], vertex_text_color=\"white\")","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Since we have different choices of initial color, the number of best solution is 2.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The following function will check the solution and return you the number of color switches","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"num_paint_shop_color_switch(sequence, painting1)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"sumproduct/#Sum-product-representation-for-configurations","page":"Sum product tree representation","title":"Sum product representation for configurations","text":"","category":"section"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"SumProductTree can use polynomial memory to store exponential number of configurations. It is a sum-product expression tree to store ConfigEnumerator in a lazy style, where configurations can be extracted by depth first searching the tree with the Base.collect method. Although it is space efficient, it is in general not easy to extract information from it due to the exponential large configuration space. Directed sampling is one of its most important operations, with which one can get some statistic properties from it with an intermediate effort. For example, if we want to check some property of an intermediate scale graph, one can type","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"julia> graph = random_regular_graph(70, 3)\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA());\n\njulia> tree = solve(problem, ConfigsAll(; tree_storage=true))[];\n16633909006371","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"If one wants to store these configurations, he will need a hard disk of size 256 TB! However, this sum-product binary tree structure supports efficient and unbiased direct sampling.","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"samples = generate_samples(tree, 1000);","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"With these samples, one can already compute useful properties like Hamming distance (see hamming_distribution) distribution.","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"julia> using UnicodePlots\n\njulia> lineplot(hamming_distribution(samples, samples))\n          ┌────────────────────────────────────────┐ \n   100000 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠹⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡎⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡇⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠸⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠃⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡞⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠁⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡼⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⢠⠇⠀⠀⠀⠀⠀⠀⠀⢳⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n        0 │⢀⣀⣀⣀⣀⣀⣀⣀⠎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠓⢄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⠀⠀⠀⠀│ \n          └────────────────────────────────────────┘ \n          ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀80⠀ ","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"Here, the x-axis is the Hamming distance and the y-axis is the counting of pair-wise Hamming distances.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"EditURL = \"../../../examples/Coloring.jl\"","category":"page"},{"location":"generated/Coloring/#Coloring-problem","page":"Coloring problem","title":"Coloring problem","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Coloring/#Problem-definition","page":"Coloring problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"A vertex coloring is an assignment of labels or colors to each vertex of a graph such that no edge connects two identically colored vertices. In the following, we are going to defined a 3-coloring problem for the Petersen graph.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/Coloring/#Generic-tensor-network-representation","page":"Coloring problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"We construct the tensor network for the 3-coloring problem as","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"problem = Coloring{3}(graph);\nnothing #hide","category":"page"},{"location":"generated/Coloring/#Theory-(can-skip)","page":"Coloring problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Type Coloring can be used for constructing the tensor network with optimized contraction order for a coloring problem. Let us use 3-coloring problem defined on vertices as an example. For a vertex v, we define the degrees of freedom c_vin123 and a vertex tensor labelled by it as","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"W(v) = left(beginmatrix\n    1\n    1\n    1\nendmatrixright)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"For an edge (u v), we define an edge tensor as a matrix labelled by (c_u c_v) to specify the constraint","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"B = left(beginmatrix\n    1  x  x\n    x  1  x\n    x  x  1\nendmatrixright)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"The number of possible coloring can be obtained by contracting this tensor network by setting vertex tensor elements r_v g_v and b_v to 1.","category":"page"},{"location":"generated/Coloring/#Solving-properties","page":"Coloring problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Coloring/#counting-all-possible-coloring","page":"Coloring problem","title":"counting all possible coloring","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"num_of_coloring = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/Coloring/#finding-one-best-coloring","page":"Coloring problem","title":"finding one best coloring","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"single_solution = solve(problem, SingleConfigMax())[]\n\nis_vertex_coloring(graph, single_solution.c.data)\n\nvertex_color_map = Dict(0=>\"red\", 1=>\"green\", 2=>\"blue\")\n\nshow_graph(graph; locs=locations, format=:svg, vertex_colors=[vertex_color_map[Int(c)]\n     for c in single_solution.c.data])","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Let us try to solve the same issue on its line graph, a graph that generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"linegraph = line_graph(graph)\n\nshow_graph(linegraph; locs=[0.5 .* (locations[e.src] .+ locations[e.dst])\n     for e in edges(graph)], format=:svg)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Let us construct the tensor network and see if there are solutions.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"lineproblem = Coloring{3}(linegraph);\n\nnum_of_coloring = solve(lineproblem, CountingMax())[]","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"You will see the maximum size 28 is smaller than the number of edges in the linegraph, meaning no solution for the 3-coloring on edges of a Petersen graph.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"EditURL = \"../../../examples/SetPacking.jl\"","category":"page"},{"location":"generated/SetPacking/#Set-packing-problem","page":"Set packing problem","title":"Set packing problem","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SetPacking/#Problem-definition","page":"Set packing problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The set packing problem is generalization of the IndependentSet problem from the simple graph to the multigraph. Suppose one has a finite set S and a list of subsets of S. Then, the set packing problem asks if some k subsets in the list are pairwise disjoint. In the following, we will find the solution space properties for the set in the Set covering problem.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The packing stadium areas of cameras are represented as the following sets.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"sets = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]","category":"page"},{"location":"generated/SetPacking/#Generic-tensor-network-representation","page":"Set packing problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"We create a [SetPacking] instance that contains a generic tensor network as its code field.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"problem = SetPacking(sets);\nnothing #hide","category":"page"},{"location":"generated/SetPacking/#Theory-(can-skip)","page":"Set packing problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Let S be the target set packing problem that we want to solve. For each set s in S, we associate it with a weight w_s to it. The tensor network representation map a set sin S to a boolean degree of freedom v_sin0 1. For each set s, we defined a parameterized rank-one tensor indexed by v_s as","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"W(x_s^w_s) = left(beginmatrix\n    1 \n    x_s^w_s\n    endmatrixright)","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"where x_s is a variable associated with s. For each unique element a, we defined the constraint over all sets containing it N(a) = s  s in S land ain s:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"B_s_1s_2ldotss_N(a) = begincases\n    0  s_1+s_2+ldots+s_N(a)  1\n    1  textotherwise\nendcases","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"This tensor means if in a configuration, two sets contain the element a, then this configuration is forbidden, One can check the contraction time space complexity of a SetPacking instance by typing:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/SetPacking/#Solving-properties","page":"Set packing problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SetPacking/#Counting-properties","page":"Set packing problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SetPacking/#The-\"graph\"-polynomial","page":"Set packing problem","title":"The \"graph\" polynomial","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The graph polynomial for the set packing problem is defined as","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"P(S x) = sum_k=0^alpha(S) c_k x^k","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"where c_k is the number of configurations having k sets, and alpha(S) is the maximum size of the packing.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"packing_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The maximum number of sets that packing the set of elements can be computed with the SizeMax property:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"max_packing_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Similarly, we have its counting CountingMax:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"counting_maximum_set_packing = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/SetPacking/#Configuration-properties","page":"Set packing problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SetPacking/#Finding-maximum-set-packing","page":"Set packing problem","title":"Finding maximum set packing","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"One can enumerate all maximum set packing with the ConfigsMax property in the program.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"max_configs = solve(problem, ConfigsMax())[].c","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Hence the only optimal solution is z_1 z_3 z_6 that has size 3. The correctness of this result can be checked with the is_set_packing function.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"all(c->is_set_packing(sets, c), max_configs)","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Similarly, if one is only interested in computing one of the maximum set packing, one can use the graph property SingleConfigMax.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"EditURL = \"../../../examples/open.jl\"","category":"page"},{"location":"generated/open/#Open-and-fixed-degrees-of-freedom","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"","category":"section"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"Open degrees of freedom is useful when one want to get the marginal about certain degrees of freedom. When one specifies the openvertices keyword argument in solve function as a tuple of vertices, the output will be a tensor that can be indexed by these degrees of freedom. Let us use the maximum independent set problem on Petersen graph as an example.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"The following code computes the MIS tropical tensor (reference to be added) with open vertices 1, 2 and 3.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"problem = IndependentSet(graph; openvertices=[1,2,3]);\n\nmarginal = solve(problem, SizeMax())","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"The return value is a rank-3 tensor, with its elements being the MIS sizes under different configuration of open vertices. For the maximum independent set problem, this tensor is also called the MIS tropical tensor, which can be useful in the MIS tropical tensor analysis (reference to be added).","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"One can also specify the fixed degrees of freedom by providing the fixedvertices keyword argument as a Dict, which can be used to get conditioned probability. For example, we can use the following code to do the same calculation as using openvertices.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"problem = IndependentSet(graph; fixedvertices=Dict(1=>0, 2=>0, 3=>0));\n\noutput = zeros(TropicalF64,2,2,2);\n\nmarginal_alternative = map(CartesianIndices((2,2,2))) do ci\n    problem.fixedvertices[1] = ci.I[1]-1\n    problem.fixedvertices[2] = ci.I[2]-1\n    problem.fixedvertices[3] = ci.I[3]-1\n    output[ci] = solve(problem, SizeMax())[]\nend","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"One can easily check this one also gets the correct marginal on vertices 1, 2 and 3. As a reminder, their computational hardness can be different, because the contraction order optimization program can optimize over open degrees of freedom.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"EditURL = \"../../../examples/HyperSpinGlass.jl\"","category":"page"},{"location":"generated/HyperSpinGlass/#Hyper-Spin-glass-problem","page":"Hyper Spin glass problem","title":"Hyper-Spin-glass problem","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/HyperSpinGlass/#Problem-definition","page":"Hyper Spin glass problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The hyper-spin-glass problem is a natural generalization of the spin-glass problem from simple graph to hypergraph. A hyper-spin-glass problem of hypergraph H = (V E) can be characterized by the following energy function","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"E = sum_c in E w_c prod_vin c S_v","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where S_v in -1 1, w_c is coupling strength associated with hyperedge c. In the program, we use boolean variable s_v = frac1-S_v2 to represent a spin configuration.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"using GenericTensorNetworks","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"In the following, we are going to defined an spin glass problem for the following hypergraph.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"num_vertices = 15\n\nhyperedges = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]\n\nweights = [-1, 1, -1, 1, -1, 1, -1, 1];\nnothing #hide","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The energy function is","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"beginalign*\nE = -S_1S_3S_4S_6S_7 + S_4S_7S_8S_12 - S_2S_5S_9S_11S_13 +\n   S_1S_2S_14S_15 - S_3S_6S_10S_12S_14 + S_8S_14S_15 +\n   S_1S_2S_6S_11 - S_1s_2S_4S_6S_8S_12\nendalign*","category":"page"},{"location":"generated/HyperSpinGlass/#Generic-tensor-network-representation","page":"Hyper Spin glass problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"We define an anti-ferromagnetic spin glass problem as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"problem = HyperSpinGlass(num_vertices, hyperedges; weights);\nnothing #hide","category":"page"},{"location":"generated/HyperSpinGlass/#Theory-(can-skip)","page":"Hyper Spin glass problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Let H = (V E) be a hypergraph. The tensor network for the partition function of the energy model for H can be defined as the following triple of (alphabet of labels, input tensors, output labels).","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"begincases\nLambda = s_v mid v in V\nmathcalT = B^(c)_s_N(c 1)N(c 2)ldotsN(c d(c)) mid c in E cup W^(v)_s_v mid v in V\nsigma_o = varepsilon\nendcases","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where s_v in 0 1 is the boolean degreen associated to vertex v, N(c k) is the kth vertex of hyperedge c, and d(c) is the degree of c. The edge tensor B^(c) is defined as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"B^(c) = begincases\nx^w_c   (sum_vin c s_v) is even \nx^-w_c    otherwise\nendcases","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"and the vertex tensor W^(v) (used to carry labels) is defined as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"W^(v) = left(beginmatrix1_v 1_vendmatrixright)","category":"page"},{"location":"generated/HyperSpinGlass/#Solving-properties","page":"Hyper Spin glass problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#Minimum-and-maximum-energies","page":"Hyper Spin glass problem","title":"Minimum and maximum energies","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Its ground state energy is -8.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Emin = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"While the state correspond to the highest energy has the ferromagnetic order.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Emax = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"In this example, the spin configurations can be chosen to make all hyperedges having even or odd spin parity.","category":"page"},{"location":"generated/HyperSpinGlass/#Counting-properties","page":"Hyper Spin glass problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#partition-function-and-graph-polynomial","page":"Hyper Spin glass problem","title":"partition function and graph polynomial","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The graph polynomial defined for the hyper-spin-glass problem is a Laurent polynomial","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Z(G w x) = sum_k=E_rm min^E_rm max c_k x^k","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where E_rm min and E_rm max are minimum and maximum energies, c_k is the number of spin configurations with energy k. Let the inverse temperature beta = 2, the partition function is","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"β = 2.0\nZ = solve(problem, PartitionFunction(β))[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The infinite temperature partition function is the counting of all feasible configurations","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"solve(problem, PartitionFunction(0.0))[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Let x = e^beta, it corresponds to the partition function of a spin glass at temperature beta^-1.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"poly = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/HyperSpinGlass/#Configuration-properties","page":"Hyper Spin glass problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#finding-a-ground-state","page":"Hyper Spin glass problem","title":"finding a ground state","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"ground_state = solve(problem, SingleConfigMin())[].c.data\n\nEmin_verify = hyperspinglass_energy(hyperedges, ground_state; weights)","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"You should see a consistent result as above Emin.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"EditURL = \"../../../examples/Matching.jl\"","category":"page"},{"location":"generated/Matching/#Vertex-matching-problem","page":"Vertex matching problem","title":"Vertex matching problem","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Matching/#Problem-definition","page":"Vertex matching problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"A k-matching in a graph G is a set of k edges, no two of which have a vertex in common.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"In the following, we are going to defined a matching problem for the Petersen graph.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/Matching/#Generic-tensor-network-representation","page":"Vertex matching problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"We construct the tensor network for the matching problem by typing","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"problem = Matching(graph);\nnothing #hide","category":"page"},{"location":"generated/Matching/#Theory-(can-skip)","page":"Vertex matching problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"Type Matching can be used for constructing the tensor network with optimized contraction order for a matching problem. We map an edge (u v) in E to a label langle u vrangle in 0 1 in a tensor network, where 1 means two vertices of an edge are matched, 0 means otherwise. Then we define a tensor of rank d(v) = N(v) on vertex v such that,","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"W_langle v n_1rangle langle v n_2 rangle ldots langle v n_d(v)rangle = begincases\n    1  sum_i=1^d(v) langle v n_i rangle leq 1\n    0  textotherwise\nendcases","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"and a tensor of rank 1 on the bond","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"B_langle v wrangle = begincases\n1  langle v w rangle = 0 \nx  langle v w rangle = 1\nendcases","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where label langle v w rangle is equivalent to langle wvrangle.","category":"page"},{"location":"generated/Matching/#Solving-properties","page":"Vertex matching problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Matching/#Maximum-matching","page":"Vertex matching problem","title":"Maximum matching","text":"","category":"section"},{"location":"generated/Matching/#Configuration-properties","page":"Vertex matching problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"max_matching = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"The largest number of matching is 5, which means we have a perfect matching (vertices are all paired).","category":"page"},{"location":"generated/Matching/#matching-polynomial","page":"Vertex matching problem","title":"matching polynomial","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"The graph polynomial defined for the matching problem is known as the matching polynomial. Here, we adopt the first definition in the wiki page.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"M(G x) = sumlimits_k=1^V2 c_k x^k","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where k is the number of matches, and coefficients c_k are the corresponding counting.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"matching_poly = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/Matching/#Configuration-properties-2","page":"Vertex matching problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/Matching/#one-of-the-perfect-matches","page":"Vertex matching problem","title":"one of the perfect matches","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"match_config = solve(problem, SingleConfigMax())[]","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"Let us show the result by coloring the matched edges to red","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"show_graph(graph; locs=locations, format=:svg, edge_colors=\n    [isone(match_config.c.data[i]) ? \"red\" : \"black\" for i=1:ne(graph)])","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where we use edges with red color to related pairs of matched vertices.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"EditURL = \"../../../examples/Satisfiability.jl\"","category":"page"},{"location":"generated/Satisfiability/#Satisfiability-problem","page":"Satisfiability problem","title":"Satisfiability problem","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Satisfiability/#Problem-definition","page":"Satisfiability problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"In logic and computer science, the boolean satisfiability problem is the problem of determining if there exists an interpretation that satisfies a given boolean formula. One can specify a satisfiable problem in the conjunctive normal form. In boolean logic, a formula is in conjunctive normal form (CNF) if it is a conjunction (∧) of one or more clauses, where a clause is a disjunction (∨) of literals.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"using GenericTensorNetworks\n\n@bools a b c d e f g\n\ncnf = ∧(∨(a, b, ¬d, ¬e), ∨(¬a, d, e, ¬f), ∨(f, g), ∨(¬b, c))","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"To goal is to find an assignment to satisfy the above CNF. For a satisfiability problem at this size, we can find the following assignment to satisfy this assignment manually.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"assignment = Dict([:a=>true, :b=>false, :c=>false, :d=>true, :e=>false, :f=>false, :g=>true])\n\nsatisfiable(cnf, assignment)","category":"page"},{"location":"generated/Satisfiability/#Generic-tensor-network-representation","page":"Satisfiability problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"If we contract this tensor network, we will get a multiplicative factor x whenever there is a clause satisfied.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"problem = Satisfiability(cnf);\nnothing #hide","category":"page"},{"location":"generated/Satisfiability/#Theory-(can-skip)","page":"Satisfiability problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"We can construct a Satisfiability problem to solve the above problem. To generate a tensor network, we map a boolean variable x and its negation neg x to a degree of freedom (label) s_x in 0 1, where 0 stands for variable x having value false while 1 stands for having value true. Then we map a clause to a tensor. For example, a clause x  y  z can be mapped to a tensor labeled by (s_x s_y s_z).","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"C = left(beginmatrix\nleft(beginmatrix\nx  x \nx  x\nendmatrixright) \nleft(beginmatrix\nx  x \n1  x\nendmatrixright)\nendmatrixright)","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"There is only one entry (s_x s_y s_z) = (1 0 1) that makes this clause unsatisfied.","category":"page"},{"location":"generated/Satisfiability/#Solving-properties","page":"Satisfiability problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Satisfiability/#Satisfiability-and-its-counting","page":"Satisfiability problem","title":"Satisfiability and its counting","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"The size of a satisfiability problem is defined by the number of satisfiable clauses.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"num_satisfiable = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"The GraphPolynomial of a satisfiability problem counts the number of solutions that k clauses satisfied.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"num_satisfiable_count = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/Satisfiability/#Find-one-of-the-solutions","page":"Satisfiability problem","title":"Find one of the solutions","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"single_config = solve(problem, SingleConfigMax())[].c.data","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"One will see a bit vector printed. One can create an assignment and check the validity with the following statement:","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"satisfiable(cnf, Dict(zip(labels(problem), single_config)))","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"EditURL = \"../../../examples/SpinGlass.jl\"","category":"page"},{"location":"generated/SpinGlass/#Spin-glass-problem","page":"Spin glass problem","title":"Spin-glass problem","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SpinGlass/#Problem-definition","page":"Spin glass problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Let G=(V E) be a graph, the spin-glass problem in physics is characterized by the following energy function","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"H = -sum_ij in E J_ij s_i s_j + sum_i in V h_i s_i","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where h_i is an onsite energy term associated with spin s_i in -1 1, and J_ij is the coupling strength between spins s_i and s_j. In the program, we use boolean variable n_i = frac1-s_i2 to represent a spin configuration.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"In the following, we are going to defined an spin glass problem for the Petersen graph.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/SpinGlass/#Generic-tensor-network-representation","page":"Spin glass problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"We define an anti-ferromagnetic spin glass problem as","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"problem = SpinGlass(graph; J=fill(-1, ne(graph)));\nnothing #hide","category":"page"},{"location":"generated/SpinGlass/#Theory-(can-skip)","page":"Spin glass problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"The spin glass problem is reduced to the Cutting problem for solving. Let G=(VE) be a graph, the cutting problem can also be described by the following energy model","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"H^c = sum_ij in E C_ij ((1 - n_i) n_j + (1 - n_j) n_i) + sum_i in V w_i n_i","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where n_i is the same as the partition index in the cutting problem, C_ij = 2J_ij are edge weights and w_i = -2h_i are vertex weights. The total energy is shifted by -sum_ijin EJ_ij + sum_i in V h_i.","category":"page"},{"location":"generated/SpinGlass/#Solving-properties","page":"Spin glass problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SpinGlass/#Minimum-and-maximum-energies","page":"Spin glass problem","title":"Minimum and maximum energies","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Its ground state energy is -9.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Emin = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"While the state correspond to the highest energy has the ferromagnetic order.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Emax = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/SpinGlass/#Counting-properties","page":"Spin glass problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SpinGlass/#graph-polynomial","page":"Spin glass problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"The graph polynomial defined for the spin glass problem is a Laurent polynomial","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Z(G J h x) = sum_k=E_rm min^E_rm max c_k x^k","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where E_rm min and E_rm max are minimum and maximum energies, c_k is the number of spin configurations with energy k. Let x = e^beta, it corresponds to the partition function of a spin glass at temperature beta^-1.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"partition_function = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SpinGlass/#Configuration-properties","page":"Spin glass problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SpinGlass/#finding-a-ground-state","page":"Spin glass problem","title":"finding a ground state","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"ground_state = solve(problem, SingleConfigMin())[].c.data\n\nEmin_verify = spinglass_energy(graph, ground_state)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"You should see a consistent result as above Emin.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"show_graph(graph; locs=locations, vertex_colors=[\n        iszero(ground_state[i]) ? \"white\" : \"red\" for i=1:nv(graph)], format=:svg)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where a red vertex and a white vertex correspond to a spin having value 1 and 0 respectively.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"performancetips/#Performance-Tips","page":"Performance Tips","title":"Performance Tips","text":"","category":"section"},{"location":"performancetips/#Optimize-contraction-orders","page":"Performance Tips","title":"Optimize contraction orders","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Let us use the independent set problem on 3-regular graphs as an example.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using GenericTensorNetworks, Graphs, Random\n\njulia> graph = random_regular_graph(120, 3)\n{120, 180} undirected simple Int64 graph\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(\n    sc_target=20, sc_weight=1.0, rw_weight=3.0, ntrials=10, βs=0.01:0.1:15.0, niters=20), simplifier=MergeGreedy());","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The IndependentSet constructor maps an independent set problem to a tensor network with optimized contraction order. The key word argument optimizer specifies the contraction order optimizer of the tensor network. Here, we choose the local search based TreeSA algorithm, which often finds the smallest time/space complexity and supports slicing. One can type ?TreeSA in a Julia REPL for more information about how to configure the hyper-parameters of the TreeSA method,  while the detailed algorithm explanation is in arXiv: 2108.05665. Alternative tensor network contraction order optimizers include","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"GreedyMethod (default, fastest in searching speed but worst in contraction complexity)\nKaHyParBipartite\nSABipartite","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The keyword argument simplifier specifies the preprocessor to improve the searching speed of the contraction order finding. For example, the MergeGreedy() here \"contracts\" tensors greedily whenever the contraction result has a smaller space complexity. It can remove all vertex tensors (vectors) before entering the contraction order optimization algorithm.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The returned object problem contains a field code that specifies the tensor network with optimized contraction order. For an independent set problem, the optimal contraction time/space complexity is sim 2^rm tw(G), where rm tw(G) is the tree-width of G. One can check the time, space and read-write complexity with the contraction_complexity function.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^20.568850503058382\nSpace complexity (number of elements in the largest intermediate tensor) = 2^16.0\nRead-write complexity (number of element-wise read and write) = 2^18.70474460304404","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The return values are log2 values of the number of multiplications, the number elements in the largest tensor during contraction and the number of read-write operations to tensor elements. In this example, the number * operations is sim 2^219, the number of read-write operations are sim 2^20, and the largest tensor size is 2^17. One can check the element size by typing","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> sizeof(TropicalF64)\n8\n\njulia> sizeof(TropicalF32)\n4\n\njulia> sizeof(StaticBitVector{200,4})\n32\n\njulia> sizeof(TruncatedPoly{5,Float64,Float64})\n48","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can use estimate_memory to get a good estimation of peak memory in bytes. For example, to compute the graph polynomial, the peak memory can be estimated as follows.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> estimate_memory(problem, GraphPolynomial(; method=:finitefield))\n297616\n\njulia> estimate_memory(problem, GraphPolynomial(; method=:polynomial))\n71427840","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The finite field approach only requires 298 KB memory, while using the Polynomial number type requires 71 MB memory.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"note: Note\nThe actual run time memory can be several times larger than the size of the maximum tensor, so the estimate_memory is more accurate in estimating the peak memory.\nFor mutable element types like ConfigEnumerator, none of memory estimation functions measure the actual memory usage correctly.","category":"page"},{"location":"performancetips/#Slicing-technique","page":"Performance Tips","title":"Slicing technique","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"For large scale applications, it is also possible to slice over certain degrees of freedom to reduce the space complexity, i.e. loop and accumulate over certain degrees of freedom so that one can have a smaller tensor network inside the loop due to the removal of these degrees of freedom. In the TreeSA optimizer, one can set nslices to a value larger than zero to turn on this feature.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using GenericTensorNetworks, Graphs, Random\n\njulia> graph = random_regular_graph(120, 3)\n{120, 180} undirected simple Int64 graph\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(βs=0.01:0.1:25.0, ntrials=10, niters=10));\n\njulia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^20.53277253647484\nSpace complexity (number of elements in the largest intermediate tensor) = 2^16.0\nRead-write complexity (number of element-wise read and write) = 2^19.34699193791874\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(βs=0.01:0.1:25.0, ntrials=10, niters=10, nslices=5));\n\njulia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^21.117277836449578\nSpace complexity (number of elements in the largest intermediate tensor) = 2^11.0\nRead-write complexity (number of element-wise read and write) = 2^19.854965754099602","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"In the second IndependentSet constructor, we slice over 5 degrees of freedom, which can reduce the space complexity by at most 5. In this application, the slicing achieves the largest possible space complexity reduction 5, while the time and read-write complexity are only increased by less than 1, i.e. the peak memory usage is reduced by a factor 32, while the (theoretical) computing time is increased by at a factor  2.","category":"page"},{"location":"performancetips/#GEMM-for-Tropical-numbers","page":"Performance Tips","title":"GEMM for Tropical numbers","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can speed up the Tropical number matrix multiplication when computing the solution space property SizeMax() by using the Tropical GEMM routines implemented in package TropicalGEMM.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using BenchmarkTools\n\njulia> @btime solve(problem, SizeMax())\n  91.630 ms (19203 allocations: 23.72 MiB)\n0-dimensional Array{TropicalF64, 0}:\n53.0ₜ\n\njulia> using TropicalGEMM\n\njulia> @btime solve(problem, SizeMax())\n  8.960 ms (18532 allocations: 17.01 MiB)\n0-dimensional Array{TropicalF64, 0}:\n53.0ₜ","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The TropicalGEMM package pirates the LinearAlgebra.mul! interface, hence it takes effect upon using. The above example shows more than 10x speed up on a single thread CPU, which can be even faster if the Julia multi-threading if turned on. The benchmark in the TropicalGEMM repo shows this performance is close to the theoretical optimal value.","category":"page"},{"location":"performancetips/#Multiprocessing","page":"Performance Tips","title":"Multiprocessing","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Submodule GenericTensorNetworks.SimpleMutiprocessing provides one function GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run function for simple multi-processing jobs. It is not directly related to GenericTensorNetworks, but is very convenient to have one. Suppose we want to find the independence polynomial for multiple graphs with 4 processes. We can create a file, e.g. named run.jl with the following content","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"using Distributed, GenericTensorNetworks.SimpleMultiprocessing\nusing Random, GenericTensorNetworks  # to avoid multi-precompilation\n@everywhere using Random, GenericTensorNetworks\n\nresults = multiprocess_run(collect(1:10)) do seed\n    Random.seed!(seed)\n    n = 10\n    @info \"Graph size $n x $n, seed= $seed\"\n    g = random_diagonal_coupled_graph(n, n, 0.8)\n    gp = Independence(g; optimizer=TreeSA(), simplifier=MergeGreedy())\n    res = solve(gp, GraphPolynomial())[]\n    return res\nend\n\nprintln(results)","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can run this script file with the following command","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"$ julia -p4 run.jl\n      From worker 3:\t[ Info: running argument 4 on device 3\n      From worker 4:\t[ Info: running argument 2 on device 4\n      From worker 5:\t[ Info: running argument 3 on device 5\n      From worker 2:\t[ Info: running argument 1 on device 2\n      From worker 3:\t[ Info: Graph size 10 x 10, seed= 4\n      From worker 4:\t[ Info: Graph size 10 x 10, seed= 2\n      From worker 5:\t[ Info: Graph size 10 x 10, seed= 3\n      From worker 2:\t[ Info: Graph size 10 x 10, seed= 1\n      From worker 4:\t[ Info: running argument 5 on device\n      ...","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"You will see a vector of polynomials printed out.","category":"page"},{"location":"performancetips/#Make-use-of-GPUs","page":"Performance Tips","title":"Make use of GPUs","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"To upload the computation to GPU, you just add using CUDA before calling the solve function, and set the keyword argument usecuda to true.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using CUDA\n[ Info: OMEinsum loaded the CUDA module successfully\n\njulia> solve(problem, SizeMax(), usecuda=true)\n0-dimensional CuArray{TropicalF64, 0, CUDA.Mem.DeviceBuffer}:\n53.0ₜ","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Solution space properties computable on GPU includes","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"SizeMax and SizeMin\nCountingAll\nCountingMax and CountingMin\nGraphPolynomial\nSingleConfigMax and SingleConfigMin","category":"page"},{"location":"performancetips/#Benchmarks","page":"Performance Tips","title":"Benchmarks","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"We run a single thread benchmark on central processing units (CPU) Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz, and its CUDA version on a GPU Tesla V100-SXM2 16G. The results are summarized in the following plot. The benchmark code can be found in our paper repository.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(Image: benchmark-independent-set) This benchmark results is for computing different solution space properties of independent sets of random three-regular graphs with different tensor element types. The time in these plots only includes tensor network contraction, without taking into account the contraction order finding and just-in-time compilation time. Legends are properties, algebra, and devices that we used in the computation; one can find the corresponding computed solution space property in Table 1 in the paper.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(a) time and space complexity versus the number of vertices for the benchmarked graphs.\n(b) The computation time for calculating the MIS size and for counting the number of all independent sets (ISs), the number of MISs, the number of independent sets having size alpha(G) and alpha(G)-1, and finding 100 largest set sizes.\n(c) The computation time for calculating the independence polynomials with different approaches.\n(d) The computation time for configuration enumeration, including single MIS configuration, the enumeration of all independent set configurations, all MIS configurations, all independent sets, and all independent set configurations having size alpha(G) and alpha(G)-1.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The graphs in all benchmarks are random three-regular graphs, which have treewidth that is asymptotically smaller than V6. In this benchmark, we do not include traditional algorithms for finding the MIS sizes such as branching or dynamic programming. To the best of our knowledge, these algorithms are not suitable for computing most of the solution space properties mentioned in this paper. The main goal of this section is to show the relative computation time for calculating different solution space properties.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Panel (a) shows the time and space complexity of tensor network contraction for different graph sizes. The contraction order is obtained using the TreeSA algorithm that implemented in OMEinsumContractionOrders. If we assume our contraction-order finding program has found the optimal treewidth, which is very likely to be true, the space complexity is the same as the treewidth of the problem graph. Slicing technique has been used for graphs with space complexity greater than 2^27 (above the yellow dashed line) to fit the computation into a 16GB memory. One can see that all the computation times in panels (b), (c), and (d) have a strong correlation with the predicted time and space complexity. While in panel (d), the computation time of configuration enumeration also strongly correlates with other factors such as the configuration space size. Among these benchmarks, computational tasks with data types real numbers, complex numbers, or Tropical numbers (CPU only) can utilize fast basic linear algebra subprograms (BLAS) functions. These tasks usually compute much faster than ones with other element types in the same category. Immutable data types with no reference to other values can be compiled to GPU devices that run much faster than CPUs in all cases when the problem scale is big enough. These data types do not include those defined in Polynomial, ConfigEnumerator, ExtendedTropical and SumProductTree or a data type containing them as a part. In panel (c), one can see the Fourier transformation-based method is the fastest in computing the independence polynomial, but it may suffer from round-off errors. The finite field (GF(p)) approach is the only method that does not have round-off errors and can be run on a GPU. In panel (d), one can see the technique to bound the enumeration space (see paper) improves the performance for more than one order of magnitude in enumerating the MISs. The bounding technique can also reduce the memory usage significantly, without which the largest computable graph size is only sim150 on a device with 32GB main memory.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"We show the benchmark of computing the maximal independent set properties on 3-regular graphs in the following plot, including a comparison to the Bron-Kerbosch algorithm from Julia package Graphs","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(Image: benchmark-maximal-independent-set)","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"In this plot, benchmarks of computing different solution space properties of the maximal independent sets (ISs) problem on random three regular graphs at different sizes.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(a) time and space complexity of tensor network contraction.\n(b) The wall clock time for counting and enumeration of maximal ISs.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Panel (a) shows the space and time complexities of tensor contraction, which are typically larger than those for the independent set problem. In panel (b), one can see counting maximal independent sets are much more efficient than enumerating them, while our generic tensor network approach runs slightly faster than the Bron-Kerbosch approach in enumerating all maximal independent sets.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"EditURL = \"../../../examples/MaximalIS.jl\"","category":"page"},{"location":"generated/MaximalIS/#Maximal-independent-set-problem","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/MaximalIS/#Problem-definition","page":"Maximal independent set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"In graph theory, a maximal independent set is an independent set that is not a subset of any other independent set. It is different from maximum independent set because it does not require the set to have the max size. In the following, we are going to solve the maximal independent set problem on the Petersen graph.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/MaximalIS/#Generic-tensor-network-representation","page":"Maximal independent set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"We can use MaximalIS to construct the tensor network for solving the maximal independent set problem as","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"problem = MaximalIS(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/MaximalIS/#Theory-(can-skip)","page":"Maximal independent set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Let G=(VE) be the target graph that we want to solve. The tensor network representation map a vertex vin V to a boolean degree of freedom s_vin0 1. We defined the restriction on its neighborhood N(v):","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"T(x_v)_s_1s_2ldotss_N(v)s_v = begincases\n    s_vx_v^w_v  s_1=s_2=ldots=s_N(v)=0\n    1-s_v textotherwise\nendcases","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"The first case corresponds to all the neighborhood vertices of v are not in I_m, then v must be in I_m and contribute a factor x_v^w_v, where w_v is the weight of vertex v. Otherwise, if any of the neighboring vertices of v is in I_m, v must not be in I_m by the independence requirement.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Its contraction time space complexity of a MaximalIS instance is no longer determined by the tree-width of the original graph G. It is often harder to contract this tensor network than to contract the one for regular independent set problem.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/MaximalIS/#Solving-properties","page":"Maximal independent set problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/MaximalIS/#Counting-properties","page":"Maximal independent set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/MaximalIS/#maximal-independence-polynomial","page":"Maximal independent set problem","title":"maximal independence polynomial","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"The graph polynomial defined for the maximal independent set problem is","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"I_rm max(G x) = sum_k=0^alpha(G) b_k x^k","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"where b_k is the number of maximal independent sets of size k in graph G=(V E).","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"maximal_indenpendence_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"One can see the first several coefficients are 0, because it only counts the maximal independent sets, The minimum maximal independent set size is also known as the independent domination number. It can be computed with the SizeMin property:","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"independent_domination_number = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"counting_min_maximal_independent_set = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/MaximalIS/#Configuration-properties","page":"Maximal independent set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/MaximalIS/#finding-all-maximal-independent-set","page":"Maximal independent set problem","title":"finding all maximal independent set","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"maximal_configs = solve(problem, ConfigsAll())[]\n\nall(c->is_maximal_independent_set(graph, c), maximal_configs)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"show_gallery(graph, (3, 5); locs=locations, vertex_configs=maximal_configs, format=:svg)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"This result should be consistent with that given by the Bron Kerbosch algorithm on the complement of Petersen graph.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"cliques = maximal_cliques(complement(graph))","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"For sparse graphs, the generic tensor network approach is usually much faster and memory efficient than the Bron Kerbosch algorithm.","category":"page"},{"location":"generated/MaximalIS/#finding-minimum-maximal-independent-set","page":"Maximal independent set problem","title":"finding minimum maximal independent set","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"It is the ConfigsMin property in the program.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"minimum_maximal_configs = solve(problem, ConfigsMin())[].c\n\nshow_gallery(graph, (2, 5); locs=locations, vertex_configs=minimum_maximal_configs, format=:svg)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Similarly, if one is only interested in computing one of the minimum sets, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"EditURL = \"../../../examples/MaxCut.jl\"","category":"page"},{"location":"generated/MaxCut/#Cutting-problem","page":"Cutting problem","title":"Cutting problem","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/MaxCut/#Problem-definition","page":"Cutting problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"In graph theory, a cut is a partition of the vertices of a graph into two disjoint subsets. It is closely related to the Spin-glass problem in physics. Finding the maximum cut is NP-Hard, where a maximum cut is a cut whose size is at least the size of any other cut, where the size of a cut is the number of edges (or the sum of weights on edges) crossing the cut.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"In the following, we are going to defined an cutting problem for the Petersen graph.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/MaxCut/#Generic-tensor-network-representation","page":"Cutting problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We define the cutting problem as","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"problem = MaxCut(graph);\nnothing #hide","category":"page"},{"location":"generated/MaxCut/#Theory-(can-skip)","page":"Cutting problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We associated a vertex vin V with a boolean degree of freedom s_vin0 1. Then the maximum cutting problem can be encoded to tensor networks by mapping an edge (ij)in E to an edge matrix labelled by s_i and s_j","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"B(x_i x_j w_ij) = left(beginmatrix\n    1  x_i^w_ij\n    x_j^w_ij  1\nendmatrixright)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where w_ij is a real number associated with edge (i j) as the edge weight. If and only if the bipartition cuts on edge (i j), this tensor contributes a factor x_i^w_ij or x_j^w_ij. Similarly, one can assign weights to vertices, which corresponds to the onsite energy terms in the spin glass. The vertex tensor is","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"W(x_i w_i) = left(beginmatrix\n    1\n    x_i^w_i\nendmatrixright)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where w_i is a real number associated with vertex i as the vertex weight.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"Its contraction time space complexity is 2^rm tw(G), where rm tw(G) is the tree-width of G.","category":"page"},{"location":"generated/MaxCut/#Solving-properties","page":"Cutting problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/MaxCut/#Maximum-cut-size-\\gamma(G)","page":"Cutting problem","title":"Maximum cut size gamma(G)","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_cut_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/MaxCut/#Counting-properties","page":"Cutting problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/MaxCut/#graph-polynomial","page":"Cutting problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"The graph polynomial defined for the cutting problem is","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"C(G x) = sum_k=0^gamma(G) c_k x^k","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where gamma(G) is the maximum cut size, c_k2 is the number of cuts of size k in graph G=(VE). Since the variable x is defined on edges, the coefficients of the polynomial is the number of configurations having different number of anti-parallel edges.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_config = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/MaxCut/#Configuration-properties","page":"Cutting problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/MaxCut/#finding-one-max-cut-solution","page":"Cutting problem","title":"finding one max cut solution","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_vertex_config = solve(problem, SingleConfigMax())[].c.data\n\nmax_cut_size_verify = cut_size(graph, max_vertex_config)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"You should see a consistent result as above max_cut_size.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"show_graph(graph; locs=locations, vertex_colors=[\n        iszero(max_vertex_config[i]) ? \"white\" : \"red\" for i=1:nv(graph)], format=:svg)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where red vertices and white vertices are separated by the cut.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"EditURL = \"../../../examples/saveload.jl\"","category":"page"},{"location":"generated/saveload/#Save-and-load-solutions","page":"Save and load solutions","title":"Save and load solutions","text":"","category":"section"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"Let us use the maximum independent set problem on Petersen graph as an example. The following code enumerates all independent sets.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"using GenericTensorNetworks, Graphs\n\nproblem = IndependentSet(Graphs.smallgraph(:petersen))\n\nall_independent_sets = solve(problem, ConfigsAll())[]","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"The return value has type ConfigEnumerator. We can use save_configs and load_configs to save and read a ConfigEnumerator instance to the disk.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"filename = tempname()\n\nsave_configs(filename, all_independent_sets; format=:binary)\n\nloaded_sets = load_configs(filename; format=:binary, bitlength=10)","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"note: Note\nWhen loading the data in the binary format, bit string length information bitlength is required.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"For the SumProductTree type output, we can use save_sumproduct and load_sumproduct to save and load serialized data.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]\n\nsave_sumproduct(filename, all_independent_sets_tree)\n\nloaded_sets_tree = load_sumproduct(filename)","category":"page"},{"location":"generated/saveload/#Loading-solutions-to-python","page":"Save and load solutions","title":"Loading solutions to python","text":"","category":"section"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"The following python script loads and unpacks the solutions as a numpy array from a :binary format file.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"import numpy as np\n\ndef loadfile(filename:str, bitlength:int):\n    C = int(np.ceil(bitlength / 64))\n    arr = np.fromfile(filename, dtype=\"uint8\")\n    # Some axes should be transformed from big endian to little endian\n    res = np.unpackbits(arr).reshape(-1, C, 8, 8)[:,::-1,::-1,:]\n    res = res.reshape(-1, C*64)[:, :(64*C-bitlength)-1:-1]\n    print(\"number of solutions = %d\"%(len(res)))\n    return res  # in big endian format\n\nres = loadfile(filename, 10)","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"note: Note\nCheck section Maximal independent set problem for solution space properties related the maximal independent sets. That example also contains using cases of finding solution space properties related to minimum sizes:SizeMin for finding minimum several set sizes,\nCountingMin for counting minimum several set sizes,\nSingleConfigMin for finding one solution with minimum several sizes,\nConfigsMin for enumerating solutions with minimum several sizes,","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"EditURL = \"../../../examples/SetCovering.jl\"","category":"page"},{"location":"generated/SetCovering/#Set-covering-problem","page":"Set covering problem","title":"Set covering problem","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SetCovering/#Problem-definition","page":"Set covering problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The set covering problem is a significant NP-hard problem in combinatorial optimization. Given a collection of elements, the set covering problem aims to find the minimum number of sets that incorporate (cover) all of these elements. In the following, we will find the solution space properties for the camera location and stadium area example in the Cornell University Computational Optimization Open Textbook.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The covering stadium areas of cameras are represented as the following sets.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"sets = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]","category":"page"},{"location":"generated/SetCovering/#Generic-tensor-network-representation","page":"Set covering problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"We create a [SetCovering] instance that contains a generic tensor network as its code field.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"problem = SetCovering(sets);\nnothing #hide","category":"page"},{"location":"generated/SetCovering/#Theory-(can-skip)","page":"Set covering problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Let S be the target set covering problem that we want to solve. For each set s in S, we associate it with a weight w_s to it. The tensor network representation map a set sin S to a boolean degree of freedom v_sin0 1. For each set s, we defined a parameterized rank-one tensor indexed by v_s as","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"W(x_s^w_s) = left(beginmatrix\n    1 \n    x_s^w_s\n    endmatrixright)","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"where x_s is a variable associated with s. For each unique element a, we defined the constraint over all sets containing it N(a) = s  s in S land ain s:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"B_s_1s_2ldotss_N(a) = begincases\n    0  s_1=s_2=ldots=s_N(a)=0\n    1  textotherwise\nendcases","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"This tensor means if none of the sets containing element a are included, then this configuration is forbidden, One can check the contraction time space complexity of a SetCovering instance by typing:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/SetCovering/#Solving-properties","page":"Set covering problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SetCovering/#Counting-properties","page":"Set covering problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SetCovering/#The-\"graph\"-polynomial","page":"Set covering problem","title":"The \"graph\" polynomial","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The graph polynomial for the set covering problem is defined as","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"P(S x) = sum_k=0^S c_k x^k","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"where c_k is the number of configurations having k sets.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"covering_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The minimum number of sets that covering the set of elements can be computed with the SizeMin property:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"min_cover_size = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"counting_minimum_setcovering = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/SetCovering/#Configuration-properties","page":"Set covering problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SetCovering/#Finding-minimum-set-covering","page":"Set covering problem","title":"Finding minimum set covering","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"One can enumerate all minimum set covering with the ConfigsMin property in the program.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"min_configs = solve(problem, ConfigsMin())[].c","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Hence the two optimal solutions are z_1 z_3 z_5 z_6 and z_2 z_3 z_4 z_5. The correctness of this result can be checked with the is_set_covering function.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"all(c->is_set_covering(sets, c), min_configs)","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Similarly, if one is only interested in computing one of the minimum set coverings, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"gist/#Gist-of-implementation","page":"Gist","title":"Gist of implementation","text":"","category":"section"},{"location":"gist/","page":"Gist","title":"Gist","text":"The code we will show below is a gist of how this package is implemented for pedagogical purpose, which covers many functionalities of the main repo without caring much about performance. This project depends on multiple open source packages in the Julia ecosystem:","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"OMEinsum and OMEinsumContractionOrders are packages providing the support for Einstein's (or tensor network) notation and state-of-the-art algorithms for contraction order optimization, which includes multiple state of the art algorithms.\nTropicalNumbers and TropicalGEMM are packages providing tropical number and efficient tropical matrix multiplication.\nGraphs is a foundational package for graph manipulation in the Julia community.\nPolynomials is a package providing polynomial algebra and polynomial fitting.\nMods and the Primes package providing finite field algebra and prime number manipulation.","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"They can be installed in a similar way to GenericTensorNetworks. After installing the required packages, one can open a Julia REPL, and copy-paste the following code snippet into it.","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"using OMEinsum\nusing Graphs\nusing Random\n\n# generate a random regular graph of size 50, degree 3\ngraph = (Random.seed!(2); Graphs.random_regular_graph(50, 3))\n\n# generate einsum code, i.e. the labels of tensors\ncode = EinCode(([minmax(e.src,e.dst) for e in Graphs.edges(graph)]..., # labels for edge tensors\n                [(i,) for i in Graphs.vertices(graph)]...), ())        # labels for vertex tensors\n\n# an einsum contraction without a contraction order specified is called `EinCode`,\n# an einsum contraction having a contraction order (specified as a tree structure) is called `NestedEinsum`.\n# assign each label a dimension-2, it will be used in the contraction order optimization\n# `uniquelabels` function extracts the tensor labels into a vector.\nsize_dict = Dict([s=>2 for s in uniquelabels(code)])\n# optimize the contraction order using the `TreeSA` method; the target space complexity is 2^17\noptimized_code = optimize_code(code, size_dict, TreeSA())\nprintln(\"time/space complexity is $(OMEinsum.timespace_complexity(optimized_code, size_dict))\")\n\n# a function for computing the independence polynomial\nfunction independence_polynomial(x::T, code) where {T}\n\txs = map(getixsv(code)) do ix\n        # if the tensor rank is 1, create a vertex tensor.\n        # otherwise the tensor rank must be 2, create a bond tensor.\n        length(ix)==1 ? [one(T), x] : [one(T) one(T); one(T) zero(T)]\n    end\n    # both `EinCode` and `NestedEinsum` are callable, inputs are tensors.\n\tcode(xs...)\nend\n\n########## COMPUTING THE MAXIMUM INDEPENDENT SET SIZE AND ITS COUNTING/DEGENERACY ###########\n\n# using Tropical numbers to compute the MIS size and the MIS degeneracy.\nusing TropicalNumbers\nmis_size(code) = independence_polynomial(TropicalF64(1.0), code)[]\nprintln(\"the maximum independent set size is $(mis_size(optimized_code).n)\")\n\n# A `CountingTropical` object has two fields, tropical field `n` and counting field `c`.\nmis_count(code) = independence_polynomial(CountingTropical{Float64,Float64}(1.0, 1.0), code)[]\nprintln(\"the degeneracy of maximum independent sets is $(mis_count(optimized_code).c)\")\n\n########## COMPUTING THE INDEPENDENCE POLYNOMIAL ###########\n\n# using Polynomial numbers to compute the polynomial directly\nusing Polynomials\nprintln(\"the independence polynomial is $(independence_polynomial(Polynomial([0.0, 1.0]), optimized_code)[])\")\n\n########## FINDING MIS CONFIGURATIONS ###########\n\n# define the set algebra\nstruct ConfigEnumerator{N}\n    # NOTE: BitVector is dynamic and it can be very slow; check our repo for the static version\n    data::Vector{BitVector}\nend\nfunction Base.:+(x::ConfigEnumerator{N}, y::ConfigEnumerator{N}) where {N}\n    res = ConfigEnumerator{N}(vcat(x.data, y.data))\n    return res\nend\nfunction Base.:*(x::ConfigEnumerator{L}, y::ConfigEnumerator{L}) where {L}\n    M, N = length(x.data), length(y.data)\n    z = Vector{BitVector}(undef, M*N)\n    for j=1:N, i=1:M\n        z[(j-1)*M+i] = x.data[i] .| y.data[j]\n    end\n    return ConfigEnumerator{L}(z)\nend\nBase.zero(::Type{ConfigEnumerator{N}}) where {N} = ConfigEnumerator{N}(BitVector[])\nBase.one(::Type{ConfigEnumerator{N}}) where {N} = ConfigEnumerator{N}([falses(N)])\n\n# the algebra sampling one of the configurations\nstruct ConfigSampler{N}\n    data::BitVector\nend\n\nfunction Base.:+(x::ConfigSampler{N}, y::ConfigSampler{N}) where {N}  # biased sampling: return `x`\n    return x  # randomly pick one\nend\nfunction Base.:*(x::ConfigSampler{L}, y::ConfigSampler{L}) where {L}\n    ConfigSampler{L}(x.data .| y.data)\nend\n\nBase.zero(::Type{ConfigSampler{N}}) where {N} = ConfigSampler{N}(trues(N))\nBase.one(::Type{ConfigSampler{N}}) where {N} = ConfigSampler{N}(falses(N))\n\n# enumerate all configurations if `all` is true; compute one otherwise.\n# a configuration is stored in the data type of `StaticBitVector`; it uses integers to represent bit strings.\n# `ConfigTropical` is defined in `TropicalNumbers`. It has two fields: tropical number `n` and optimal configuration `config`.\n# `CountingTropical{T,<:ConfigEnumerator}` stores configurations instead of simple counting.\nfunction mis_config(code; all=false)\n    # map a vertex label to an integer\n    vertex_index = Dict([s=>i for (i, s) in enumerate(uniquelabels(code))])\n    N = length(vertex_index)  # number of vertices\n    xs = map(getixsv(code)) do ix\n        T = all ? CountingTropical{Float64, ConfigEnumerator{N}} : CountingTropical{Float64, ConfigSampler{N}}\n        if length(ix) == 2\n            return [one(T) one(T); one(T) zero(T)]\n        else\n            s = falses(N)\n            s[vertex_index[ix[1]]] = true  # one hot vector\n            if all\n                [one(T), T(1.0, ConfigEnumerator{N}([s]))]\n            else\n                [one(T), T(1.0, ConfigSampler{N}(s))]\n            end\n        end\n    end\n\treturn code(xs...)\nend\n\nprintln(\"one of the optimal configurations is $(mis_config(optimized_code; all=false)[].c.data)\")\n\n# direct enumeration of configurations can be very slow; please check the bounding version in our Github repo.\nprintln(\"all optimal configurations are $(mis_config(optimized_code; all=true)[].c)\")","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"EditURL = \"../../../examples/DominatingSet.jl\"","category":"page"},{"location":"generated/DominatingSet/#Dominating-set-problem","page":"Dominating set problem","title":"Dominating set problem","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/DominatingSet/#Problem-definition","page":"Dominating set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"In graph theory, a dominating set for a graph G = (V E) is a subset D of V such that every vertex not in D is adjacent to at least one member of D. The domination number gamma(G) is the number of vertices in a smallest dominating set for G. The decision version of finding the minimum dominating set is an NP-complete. In the following, we are going to solve the dominating set problem on the Petersen graph.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/DominatingSet/#Generic-tensor-network-representation","page":"Dominating set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"We can use DominatingSet to construct the tensor network for solving the dominating set problem as","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"problem = DominatingSet(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/DominatingSet/#Theory-(can-skip)","page":"Dominating set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Let G=(VE) be the target graph that we want to solve. The tensor network representation map a vertex vin V to a boolean degree of freedom s_vin0 1. We defined the restriction on a vertex and its neighboring vertices N(v):","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"T(x_v)_s_1s_2ldotss_N(v)s_v = begincases\n    0  s_1=s_2=ldots=s_N(v)=s_v=0\n    1  s_v=0\n    x_v^w_v  textotherwise\nendcases","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"where w_v is the weight of vertex v. This tensor means if both v and its neighboring vertices are not in D, i.e., s_1=s_2=ldots=s_N(v)=s_v=0, this configuration is forbidden because v is not adjacent to any member in the set. otherwise, if v is in D, it has a contribution x_v^w_v to the final result. One can check the contraction time space complexity of a DominatingSet instance by typing:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/DominatingSet/#Solving-properties","page":"Dominating set problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/DominatingSet/#Counting-properties","page":"Dominating set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/DominatingSet/#Domination-polynomial","page":"Dominating set problem","title":"Domination polynomial","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"The graph polynomial for the dominating set problem is known as the domination polynomial (see arXiv:0905.2251). It is defined as","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"D(G x) = sum_k=0^gamma(G) d_k x^k","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"where d_k is the number of dominating sets of size k in graph G=(V E).","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"domination_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"The domination number gamma(G) can be computed with the SizeMin property:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"domination_number = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"counting_min_dominating_set = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/DominatingSet/#Configuration-properties","page":"Dominating set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/DominatingSet/#finding-minimum-dominating-set","page":"Dominating set problem","title":"finding minimum dominating set","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"One can enumerate all minimum dominating sets with the ConfigsMin property in the program.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"min_configs = solve(problem, ConfigsMin())[].c\n\nall(c->is_dominating_set(graph, c), min_configs)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"show_gallery(graph, (2, 5); locs=locations, vertex_configs=min_configs, format=:svg)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Similarly, if one is only interested in computing one of the minimum dominating sets, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"EditURL = \"../../../examples/weighted.jl\"","category":"page"},{"location":"generated/weighted/#Weighted-problems","page":"Weighted problems","title":"Weighted problems","text":"","category":"section"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us use the maximum independent set problem on Petersen graph as an example.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The following code constructs a weighted MIS problem instance.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"problem = IndependentSet(graph; weights=collect(1:10));\nnothing #hide","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Here, the weights keyword argument can be a vector for weighted graphs or NoWeight() for unweighted graphs. Most solution space properties work for unweighted graphs also work for the weighted graphs. For example, the maximum independent set can be found as follows.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max_config_weighted = solve(problem, SingleConfigMax())[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us visualize the solution.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg, vertex_colors=\n          [iszero(max_config_weighted.c.data[i]) ? \"white\" : \"red\" for i=1:nv(graph)])","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The only solution space property that can not be defined for general real-weighted (not including integer-weighted) graphs is the GraphPolynomial.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"For the weighted MIS problem, a useful solution space property is the \"energy spectrum\", i.e. the largest several configurations and their weights. We can use the solution space property is SizeMax(10) to compute the largest 10 weights.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"spectrum = solve(problem, SizeMax(10))[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The return value has type ExtendedTropical, which contains one field orders.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"spectrum.orders","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"We can see the order is a vector of Tropical numbers. Similarly, we can get weighted independent sets with maximum 5 sizes as follows.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max5_configs = solve(problem, SingleConfigMax(5))[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The return value also has type ExtendedTropical, but this time the element type of orders has been changed to CountingTropical{Float64,ConfigSampler}.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max5_configs.orders","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us visually check these configurations","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"show_gallery(graph, (1, 5); locs=locations, format=:svg, vertex_configs=[max5_configs.orders[k].c.data for k=1:5])","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"This page was generated using Literate.jl.","category":"page"},{"location":"ref/#References","page":"References","title":"References","text":"","category":"section"},{"location":"ref/#Graph-problems","page":"References","title":"Graph problems","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"solve\nGraphProblem\nIndependentSet\nMaximalIS\nMatching\nColoring\nDominatingSet\nSpinGlass\nHyperSpinGlass\nMaxCut\nPaintShop\nSatisfiability\nSetCovering\nSetPacking\nOpenPitMining","category":"page"},{"location":"ref/#GenericTensorNetworks.solve","page":"References","title":"GenericTensorNetworks.solve","text":"solve(problem, property; usecuda=false, T=Float64)\n\nSolving a certain property of a graph problem.\n\nPositional Arguments\n\nproblem is the graph problem with tensor network information,\nproperty is string specifying the task. Using the maximum independent set problem as an example, it can be one of\nPartitionFunction() for computing the partition function,\nSizeMax(k=Single) for finding maximum-k set sizes,\nSizeMin(k=Single) for finding minimum-k set sizes,\nCountingMax(k=Single) for counting configurations with maximum-k sizes,\nCountingMin(k=Single) for counting configurations with minimum-k sizes,\nCountingAll() for counting all configurations,\nPartitionFunction() for counting all configurations,\nGraphPolynomial(; method=:finitefield, kwargs...) for evaluating the graph polynomial,\nSingleConfigMax(k=Single; bounded=false) for finding one maximum-k configuration for each size,\nSingleConfigMin(k=Single; bounded=false) for finding one minimum-k configuration for each size,\nConfigsMax(k=Single; bounded=true, tree_storage=false) for enumerating configurations with maximum-k sizes,\nConfigsMin(k=Single; bounded=true, tree_storage=false) for enumerating configurations with minimum-k sizes,\nConfigsAll(; tree_storage=false) for enumerating all configurations,\n\nKeyword arguments\n\nusecuda is a switch to use CUDA (if possible), user need to call statement using CUDA before turning on this switch.\nT is the \"base\" element type, sometimes can be used to reduce the memory cost.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.GraphProblem","page":"References","title":"GenericTensorNetworks.GraphProblem","text":"GraphProblem\n\nThe abstract base type of graph problems.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.IndependentSet","page":"References","title":"GenericTensorNetworks.IndependentSet","text":"IndependentSet{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nIndependentSet(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe independent set problem in graph theory.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> using GenericTensorNetworks, Graphs\n\njulia> problem = IndependentSet(smallgraph(:petersen));\n\njulia> solve(problem, ConfigsMax())\n0-dimensional Array{CountingTropical{Float64, ConfigEnumerator{10, 1, 1}}, 0}:\n(4.0, {0101010001, 1010000011, 0100100110, 0010111000, 1001001100})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.MaximalIS","page":"References","title":"GenericTensorNetworks.MaximalIS","text":"MaximalIS{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nMaximalIS(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe maximal independent set problem. In the constructor, weights are the weights of vertices.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Matching","page":"References","title":"GenericTensorNetworks.Matching","text":"Matching{CT<:AbstractEinsum, WT<:Union{NoWeight,Vector}} <: GraphProblem\nMatching(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe Vertex matching problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the edges of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on edges, where a value can be 0 (not matched) or 1 (mathced).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Coloring","page":"References","title":"GenericTensorNetworks.Coloring","text":"Coloring{K,CT<:AbstractEinsum, WT<:Union{NoWeight, Vector}} <: GraphProblem\nColoring{K}(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe Vertex Coloring problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the edges of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be in 0K-1 (different colors).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.DominatingSet","page":"References","title":"GenericTensorNetworks.DominatingSet","text":"DominatingSet{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nDominatingSet(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe dominating set problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SpinGlass","page":"References","title":"GenericTensorNetworks.SpinGlass","text":"SpinGlass{TT<:MaxCut,WT1<:Union{NoWeight, Vector},WT2<:Union{ZeroWeight, Vector}} <: ReducedProblem\nSpinGlass(graph; J=NoWeight(), h=ZeroWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\nSpinGlass(M::AbstractMatrix, h::AbstractVector; kwargs...)\n\nThe spin glass problem (or cutting problem). In the output, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nM is a symmetric matrix of the coupling strengths.\nJ is a vector of coupling strengths associated with the edges of the graph.\nh is a vector of onsite energy terms associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.HyperSpinGlass","page":"References","title":"GenericTensorNetworks.HyperSpinGlass","text":"struct HyperSpinGlass{CT<:OMEinsum.AbstractEinsum, WT<:Union{NoWeight, Vector}} <: GraphProblem\n\nThe hyper-spin-glass problem is a generalization of the spin-glass problem to hypergraphs.\n\nPositional arguments\n\nn is the number of spins.\ncliques is a vector of cliques, each being a vector of vertices (integers).\n\nKeyword arguments\n\nweights are associated with the cliques.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.MaxCut","page":"References","title":"GenericTensorNetworks.MaxCut","text":"MaxCut{CT<:AbstractEinsum,WT1<:Union{NoWeight, Vector},WT2<:Union{ZeroWeight, Vector}} <: GraphProblem\nMaxCut(graph; edge_weights=NoWeight(), vertex_weights=ZeroWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe cutting problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nedge_weights are associated with the edges of the graph.\nvertex_weights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.PaintShop","page":"References","title":"GenericTensorNetworks.PaintShop","text":"PaintShop{CT<:AbstractEinsum} <: GraphProblem\nPaintShop(sequence::AbstractVector; openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe binary paint shop problem.\n\nPositional arguments\n\nKeyword arguments\n\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (the first appearence in blue) or 1 (the first appearence in red).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\nOne can encode the paint shop problem abaccb as the following\n\njulia> syms = collect(\"abaccb\");\n\njulia> pb = PaintShop(syms);\n\njulia> solve(pb, SizeMin())[]\n2.0ₜ\n\njulia> solve(pb, ConfigsMin())[].c.data\n2-element Vector{StaticBitVector{3, 1}}:\n 100\n 011\n\nIn our definition, we find the maximum number of unchanged color in this sequence, i.e. (n-1) - (minimum number of color changes) In the output of maximum configurations, the two configurations are defined on 5 bonds i.e. pairs of (i, i+1), 0 means color changed, while 1 means color not changed. If we denote two \"colors\" as r and b, then the optimal painting is rbbbrr or brrrbb, both change the colors twice.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Satisfiability","page":"References","title":"GenericTensorNetworks.Satisfiability","text":"Satisfiability{CT<:AbstractEinsum,T,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSatisfiability(cnf::CNF; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe satisfiability problem.\n\nPositional arguments\n\ncnf is a conjunctive normal form (CNF) for specifying the satisfiability problems.\n\nKeyword arguments\n\nweights are associated with clauses.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of boolean variables, where a value can be 0 or 1.\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> @bools x y z a b c\n\njulia> c1 = x ∨ ¬y\nx ∨ ¬y\n\njulia> c2 = c ∨ (¬a ∨ b)\nc ∨ ¬a ∨ b\n\njulia> c3 = (z ∨ ¬a) ∨ y\nz ∨ ¬a ∨ y\n\njulia> c4 = (c ∨ z) ∨ ¬b\nc ∨ z ∨ ¬b\n\njulia> cnf = (c1 ∧ c4) ∧ (c2 ∧ c3)\n(x ∨ ¬y) ∧ (c ∨ z ∨ ¬b) ∧ (c ∨ ¬a ∨ b) ∧ (z ∨ ¬a ∨ y)\n\njulia> gp = Satisfiability(cnf);\n\njulia> solve(gp, SizeMax())[]\n4.0ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SetCovering","page":"References","title":"GenericTensorNetworks.SetCovering","text":"SetCovering{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSetCovering(sets; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe set covering problem.\n\nPositional arguments\n\nsets is a vector of vectors, each set is associated with a weight specified in weights.\n\nKeyword arguments\n\nweights are associated with sets.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> sets = [[1, 2, 5], [1, 3], [2, 4], [3, 6], [2, 3, 6]];  # each set is a vertex\n\njulia> gp = SetCovering(sets);\n\njulia> res = solve(gp, ConfigsMin())[]\n(3.0, {10110, 10101})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SetPacking","page":"References","title":"GenericTensorNetworks.SetPacking","text":"SetPacking{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSetPacking(sets; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe set packing problem, a generalization of independent set problem to hypergraphs.\n\nPositional arguments\n\nsets is a vector of vectors, each set is associated with a weight specified in weights.\n\nKeyword arguments\n\nweights are associated with sets.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> sets = [[1, 2, 5], [1, 3], [2, 4], [3, 6], [2, 3, 6]];  # each set is a vertex\n\njulia> gp = SetPacking(sets);\n\njulia> res = solve(gp, ConfigsMax())[]\n(2.0, {00110, 10010, 01100})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.OpenPitMining","page":"References","title":"GenericTensorNetworks.OpenPitMining","text":"OpenPitMining{ET, CT<:AbstractEinsum} <: GraphProblem\nOpenPitMining(rewards; openvertices=(),\n             optimizer=GreedyMethod(), simplifier=nothing,\n             fixedvertices=Dict())\n\nThe open pit mining problem. This problem can be solved in polynomial time with the pseudoflow algorithm.\n\nPositional arguments\n\nrewards is a matrix of rewards.\n\nKeyword arguments\n\nopenvertices specifies labels of the output tensor.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of labels, where a value can be 0 (not mined) or 1 (mined)\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExample\n\njulia> rewards =  [-4  -7  -7  -17  -7  -26;\n         0  39  -7   -7  -4    0;\n         0   0   1    8   0    0;\n         0   0   0    0   0    0;\n         0   0   0    0   0    0;\n         0   0   0    0   0    0];\n\njulia> gp = OpenPitMining(rewards);\n\njulia> res = solve(gp, SingleConfigMax())[]\n(21.0, ConfigSampler{12, 1, 1}(111000100000))ₜ\n\njulia> is_valid_mining(rewards, res.c.data)\ntrue\n\njulia> print_mining(rewards, res.c.data)\n     -4      -7      -7     -17      -7     -26 \n      ◼      39      -7      -7      -4       ◼ \n      ◼       ◼       1       8       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼\n\nYou will the the mining is printed as green in an colored REPL.\n\n\n\n\n\n","category":"type"},{"location":"ref/#Graph-Problem-Interfaces","page":"References","title":"Graph Problem Interfaces","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"To subtype GraphProblem, a new type must contain a code field to represent the (optimized) tensor network. Interfaces GenericTensorNetworks.generate_tensors, labels, flavors and get_weights are required. nflavor is optional.","category":"page"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks.generate_tensors\nlabels\nterms\nflavors\nget_weights\nchweights\nnflavor\nfixedvertices\n\nextract_result","category":"page"},{"location":"ref/#GenericTensorNetworks.generate_tensors","page":"References","title":"GenericTensorNetworks.generate_tensors","text":"generate_tensors(func, problem::GraphProblem)\n\nGenerate a vector of tensors as the inputs of the tensor network contraction code problem.code. func is a function to customize the tensors. func(symbol) returns a vector of elements, the length of which is same as the number of flavors.\n\nExample\n\nThe following code gives your the maximum independent set size\n\njulia> using Graphs, GenericTensorNetworks\n\njulia> gp = IndependentSet(smallgraph(:petersen));\n\njulia> getixsv(gp.code)\n25-element Vector{Vector{Int64}}:\n [1]\n [2]\n [3]\n [4]\n [5]\n [6]\n [7]\n [8]\n [9]\n [10]\n ⋮\n [3, 8]\n [4, 5]\n [4, 9]\n [5, 10]\n [6, 8]\n [6, 9]\n [7, 9]\n [7, 10]\n [8, 10]\n\njulia> gp.code(GenericTensorNetworks.generate_tensors(Tropical(1.0), gp)...)\n0-dimensional Array{Tropical{Float64}, 0}:\n4.0ₜ\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.labels","page":"References","title":"GenericTensorNetworks.labels","text":"labels(problem::GraphProblem) -> Vector\n\nThe labels of a graph problem is defined as the degrees of freedoms in the graph problem. e.g. for the maximum independent set problems, they are the indices of vertices: 1, 2, 3..., while for the max cut problem, they are the edges.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.terms","page":"References","title":"GenericTensorNetworks.terms","text":"terms(problem::GraphProblem) -> Vector\n\nThe terms of a graph problem is defined as the tensor labels that defining local energies (or weights) in the graph problem. e.g. for the maximum independent set problems, they are the vertex-tensor labels: [1], [2], [3]... The weight of a term is same as the exponents in the graph polynomial.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.flavors","page":"References","title":"GenericTensorNetworks.flavors","text":"flavors(::Type{<:GraphProblem}) -> Vector\n\nIt returns a vector of integers as the flavors of a degree of freedom. Its size is the same as the degree of freedom on a single vertex/edge.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.get_weights","page":"References","title":"GenericTensorNetworks.get_weights","text":"get_weights(problem::GraphProblem, i::Int) -> Vector\nget_weights(problem::GraphProblem) -> Vector\n\nThe weights for the problem or the weights for the degree of freedom specified by the i-th term if a second argument is provided. Weights are associated with terms in the graph problem. In graph polynomial, integer weights can be the exponents.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.chweights","page":"References","title":"GenericTensorNetworks.chweights","text":"chweights(problem::GraphProblem, weights) -> GraphProblem\n\nChange the weights for the problem and return a new problem instance. Weights are associated with terms in the graph problem. In graph polynomial, integer weights can be the exponents.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.nflavor","page":"References","title":"GenericTensorNetworks.nflavor","text":"nflavor(::Type{<:GraphProblem}) -> Int\n\nBond size is equal to the number of flavors.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.fixedvertices","page":"References","title":"GenericTensorNetworks.fixedvertices","text":"fixedvertices(problem::GraphProblem) -> Dict\n\nFix degree of freedoms in a graph problem to a certain value using a dict, where the key is a label, and the value should be in, e.g. [0, 1] in the indepenent set problem. When a degree of freedom is fixed, its size is 1. The optimal tensor network contraction order is then different from the default case.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.extract_result","page":"References","title":"GenericTensorNetworks.extract_result","text":"extract_result(p::ReducedProblem, output)\nextract_result(p::ReducedProblem)\n\nPost process the output of the target problem to get an output to the source problem. If the output is not provided, it will return a function instead. The result extraction rule is determined by the output type. e.g. If the output type is Tropical, it will be interpreted as the energy. If the output is a Vector, it will be interpreted as a configuration.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Graph-Problem-Utilities","page":"References","title":"Graph Problem Utilities","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"is_independent_set\nis_maximal_independent_set\nis_dominating_set\nis_vertex_coloring\nis_matching\nis_set_covering\nis_set_packing\n\ncut_size\nspinglass_energy\nhyperspinglass_energy\nnum_paint_shop_color_switch\npaint_shop_coloring_from_config\nmis_compactify!\n\nCNF\nCNFClause\nBoolVar\nsatisfiable\n@bools\n∨\n¬\n∧\n\nis_valid_mining\nprint_mining","category":"page"},{"location":"ref/#GenericTensorNetworks.is_independent_set","page":"References","title":"GenericTensorNetworks.is_independent_set","text":"is_independent_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is an independent set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_maximal_independent_set","page":"References","title":"GenericTensorNetworks.is_maximal_independent_set","text":"is_maximal_independent_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is a maximal independent set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_dominating_set","page":"References","title":"GenericTensorNetworks.is_dominating_set","text":"is_dominating_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is a dominating set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_vertex_coloring","page":"References","title":"GenericTensorNetworks.is_vertex_coloring","text":"is_vertex_coloring(graph::SimpleGraph, config)\n\nReturns true if the coloring specified by config is a valid one, i.e. does not violate the contraints of vertices of an edges having different colors.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_matching","page":"References","title":"GenericTensorNetworks.is_matching","text":"is_matching(graph::SimpleGraph, config)\n\nReturns true if config is a valid matching on graph, and false if a vertex is double matched. config is a vector of boolean variables, which has one to one correspondence with edges(graph).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_set_covering","page":"References","title":"GenericTensorNetworks.is_set_covering","text":"is_set_covering(sets::AbstractVector, config)\n\nReturn true if config (a vector of boolean numbers as the mask of sets) is a set covering of sets.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_set_packing","page":"References","title":"GenericTensorNetworks.is_set_packing","text":"is_set_packing(sets::AbstractVector, config)\n\nReturn true if config (a vector of boolean numbers as the mask of sets) is a set packing of sets.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.cut_size","page":"References","title":"GenericTensorNetworks.cut_size","text":"cut_size(g::SimpleGraph, config; edge_weights=NoWeight(), vertex_weights=ZeroWeight())\n\nCompute the cut size for the vertex configuration config (an iterator).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.spinglass_energy","page":"References","title":"GenericTensorNetworks.spinglass_energy","text":"spinglass_energy(g::SimpleGraph, config; J=NoWeight(), h=ZeroWeight())\n\nCompute the spin glass state energy for the vertex configuration config. In the configuration, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1. Let G=(VE) be the input graph, the hamiltonian is\n\nH = - sum_ij in E J_ij s_i s_j + sum_i in V h_i s_i\n\nwhere s_i in -1 1 stands for spin ↓ and spin ↑.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.hyperspinglass_energy","page":"References","title":"GenericTensorNetworks.hyperspinglass_energy","text":"hyperspinglass_energy(cliques, config; weights) -> Real\n\n\nCompute the energy for spin configuration config (an iterator).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.num_paint_shop_color_switch","page":"References","title":"GenericTensorNetworks.num_paint_shop_color_switch","text":"num_paint_shop_color_switch(sequence::AbstractVector, coloring)\n\nReturns the number of color switches.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.paint_shop_coloring_from_config","page":"References","title":"GenericTensorNetworks.paint_shop_coloring_from_config","text":"paint_shop_coloring_from_config(p::PaintShop, config)\n\nReturns a valid painting from the paint shop configuration (given by the configuration solvers). The config is a sequence of 0 and 1, where 0 means painting the first appearence of a car in blue, 1 otherwise.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.mis_compactify!","page":"References","title":"GenericTensorNetworks.mis_compactify!","text":"mis_compactify!(tropicaltensor)\n\nCompactify tropical tensor for maximum independent set problem. It will eliminate some entries by setting them to zero, by the criteria that removing these entry does not change the MIS size of its parent graph (reference to be added).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.CNF","page":"References","title":"GenericTensorNetworks.CNF","text":"CNF{T}\nCNF(clauses)\n\nBoolean expression in conjunctive normal form. clauses is a vector of CNFClause, if and only if all clauses are satisfied, this CNF is satisfied.\n\nExample\n\njulia> @bools x y z\n\njulia> cnf = (x ∨ y) ∧ (¬y ∨ z)\n(x ∨ y) ∧ (¬y ∨ z)\n\njulia> satisfiable(cnf, Dict([:x=>true, :y=>false, :z=>true]))\ntrue\n\njulia> satisfiable(cnf, Dict([:x=>false, :y=>false, :z=>true]))\nfalse\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CNFClause","page":"References","title":"GenericTensorNetworks.CNFClause","text":"CNFClause{T}\nCNFClause(vars)\n\nA clause in CNF, its value is the logical or of vars, where vars is a vector of BoolVar.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.BoolVar","page":"References","title":"GenericTensorNetworks.BoolVar","text":"BoolVar{T}\nBoolVar(name, neg)\n\nBoolean variable for constructing CNF clauses.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.satisfiable","page":"References","title":"GenericTensorNetworks.satisfiable","text":"satisfiable(cnf::CNF, config::AbstractDict)\n\nReturns true if an assignment of variables satisfies a CNF.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.@bools","page":"References","title":"GenericTensorNetworks.@bools","text":"@bools(syms::Symbol...)\n\nCreate some boolean variables of type BoolVar in current scope that can be used in create a CNF.\n\nExample\n\njulia> @bools x y z\n\njulia> (x ∨ y) ∧ (¬y ∨ z)\n(x ∨ y) ∧ (¬y ∨ z)\n\n\n\n\n\n","category":"macro"},{"location":"ref/#GenericTensorNetworks.:∨","page":"References","title":"GenericTensorNetworks.:∨","text":"∨(vars...)\n\nLogical or applied on BoolVar and CNFClause. Returns a CNFClause.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.:¬","page":"References","title":"GenericTensorNetworks.:¬","text":"¬(var::BoolVar)\n\nNegation of a boolean variables of type BoolVar.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.:∧","page":"References","title":"GenericTensorNetworks.:∧","text":"∧(vars...)\n\nLogical and applied on CNFClause and CNF. Returns a new CNF.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_valid_mining","page":"References","title":"GenericTensorNetworks.is_valid_mining","text":"is_valid_mining(rewards::AbstractMatrix, config)\n\nReturn true if config (a boolean mask for the feasible region) is a valid mining of rewards.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.print_mining","page":"References","title":"GenericTensorNetworks.print_mining","text":"print_mining(rewards::AbstractMatrix, config)\n\nPrinting the mining solution in a colored REPL.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Properties","page":"References","title":"Properties","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"PartitionFunction\nSizeMax\nSizeMin\nCountingAll\nCountingMax\nCountingMin\nGraphPolynomial\nSingleConfigMax\nSingleConfigMin\nConfigsAll\nConfigsMax\nConfigsMin","category":"page"},{"location":"ref/#GenericTensorNetworks.PartitionFunction","page":"References","title":"GenericTensorNetworks.PartitionFunction","text":"struct PartitionFunction{T} <: GenericTensorNetworks.AbstractProperty\n\nbeta\n\nCompute the partition function for the target problem.\n\nThe corresponding tensor element type is T.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SizeMax","page":"References","title":"GenericTensorNetworks.SizeMax","text":"SizeMax{K} <: AbstractProperty\nSizeMax(k::Int)\n\nThe maximum-K set sizes. e.g. the largest size of the IndependentSet  problem is also know as the independence number.\n\nThe corresponding tensor element type are max-plus tropical number Tropical if K is Single and ExtendedTropical if K is an integer.\nIt is compatible with weighted graph problems.\nBLAS (on CPU) and GPU are supported only if K is Single,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SizeMin","page":"References","title":"GenericTensorNetworks.SizeMin","text":"SizeMin{K} <: AbstractProperty\nSizeMin(k::Int)\n\nThe minimum-K set sizes. e.g. the smallest size ofthe MaximalIS problem is also known as the independent domination number.\n\nThe corresponding tensor element type are inverted max-plus tropical number Tropical if K is Single and inverted ExtendedTropical K is an integer.\n\nThe inverted Tropical number emulates the min-plus tropical number.\n\nIt is compatible with weighted graph problems.\nBLAS (on CPU) and GPU are supported only if K is Single,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingAll","page":"References","title":"GenericTensorNetworks.CountingAll","text":"CountingAll <: AbstractProperty\nCountingAll()\n\nCounting the total number of sets. e.g. for the IndependentSet problem, it counts the independent sets.\n\nThe corresponding tensor element type is Base.Real.\nThe weights on graph does not have effect.\nBLAS (GPU and CPU) and GPU are supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingMax","page":"References","title":"GenericTensorNetworks.CountingMax","text":"CountingMax{K} <: AbstractProperty\nCountingMax(K=Single)\n\nCounting the number of sets with largest-K size. e.g. for IndependentSet problem, it counts independent sets of size alpha(G) alpha(G)-1 ldots alpha(G)-K+1.\n\nThe corresponding tensor element type is CountingTropical if K is Single, and TruncatedPoly{K} if K is an integer.\nWeighted graph problems is only supported if K is Single.\nGPU is supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingMin","page":"References","title":"GenericTensorNetworks.CountingMin","text":"CountingMin{K} <: AbstractProperty\nCountingMin(K=Single)\n\nCounting the number of sets with smallest-K size.\n\nThe corresponding tensor element type is inverted CountingTropical if K is Single, and TruncatedPoly{K} if K is an integer.\nWeighted graph problems is only supported if K is Single.\nGPU is supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.GraphPolynomial","page":"References","title":"GenericTensorNetworks.GraphPolynomial","text":"GraphPolynomial{METHOD} <: AbstractProperty\nGraphPolynomial(; method=:finitefield, kwargs...)\n\nCompute the graph polynomial, e.g. for IndependentSet problem, it is the independence polynomial. The METHOD type parameter can be one of the following symbols\n\nMethod Argument\n\n:finitefield, uses finite field algebra to fit the polynomial.\nThe corresponding tensor element type is Mods.Mod,\nIt does not have round-off error,\nGPU is supported,\nIt accepts keyword arguments maxorder (optional, e.g. the MIS size in the IndependentSet problem).\n:polynomial and :laurent, use (Laurent) polynomial numbers to solve the polynomial directly.\nThe corresponding tensor element types are Polynomial and LaurentPolynomial.\nIt might have small round-off error depending on the data type for storing the counting.\nIt has memory overhead that linear to the graph size.\n:fft, use fast fourier transformation to fit the polynomial.\nThe corresponding tensor element type is Base.Complex.\nIt has (controllable) round-off error.\nBLAS and GPU are supported.\nIt accepts keyword arguments maxorder (optional) and r,   if r > 1, one has better precision for coefficients of large order, if r < 1,   one has better precision for coefficients of small order.\n:fitting, fit the polynomial directly.\nThe corresponding tensor element type is floating point numbers like Base.Float64.\nIt has round-off error.\nBLAS and GPU are supported, it is the fastest among all methods.\n\nGraph polynomials are not defined for weighted graph problems.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SingleConfigMax","page":"References","title":"GenericTensorNetworks.SingleConfigMax","text":"SingleConfigMax{K, BOUNDED} <: AbstractProperty\nSingleConfigMax(k::Int; bounded=false)\n\nFinding single solution for largest-K sizes, e.g. for IndependentSet problem, it is one of the maximum independent sets.\n\nThe corresponding data type is CountingTropical{Float64,<:ConfigSampler} if BOUNDED is false, Tropical otherwise.\nWeighted graph problems is supported.\nGPU is supported,\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SingleConfigMin","page":"References","title":"GenericTensorNetworks.SingleConfigMin","text":"SingleConfigMin{K, BOUNDED} <: AbstractProperty\nSingleConfigMin(k::Int; bounded=false)\n\nFinding single solution with smallest-K size.\n\nThe corresponding data type is inverted CountingTropical{Float64,<:ConfigSampler} if BOUNDED is false, inverted Tropical otherwise.\nWeighted graph problems is supported.\nGPU is supported,\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsAll","page":"References","title":"GenericTensorNetworks.ConfigsAll","text":"ConfigsAll{TREESTORAGE} <:AbstractProperty\nConfigsAll(; tree_storage=false)\n\nFind all valid configurations, e.g. for IndependentSet problem, it is finding all independent sets.\n\nThe corresponding data type is ConfigEnumerator.\nWeights do not take effect.\n\nKeyword Arguments\n\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsMax","page":"References","title":"GenericTensorNetworks.ConfigsMax","text":"ConfigsMax{K, BOUNDED, TREESTORAGE} <:AbstractProperty\nConfigsMax(K=Single; bounded=true, tree_storage=true)\n\nFind configurations with largest-K sizes, e.g. for IndependentSet problem, it is finding all independent sets of sizes alpha(G) alpha(G)-1 ldots alpha(G)-K+1.\n\nThe corresponding data type is CountingTropical{Float64,<:ConfigEnumerator} if K is Single and TruncatedPoly{K,<:ConfigEnumerator} if K is an integer.\nWeighted graph problems is only supported if K is Single.\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsMin","page":"References","title":"GenericTensorNetworks.ConfigsMin","text":"ConfigsMin{K, BOUNDED, TREESTORAGE} <:AbstractProperty\nConfigsMin(K=Single; bounded=true, tree_storage=false)\n\nFind configurations with smallest-K sizes.\n\nThe corresponding data type is inverted CountingTropical{Float64,<:ConfigEnumerator} if K is Single and inverted TruncatedPoly{K,<:ConfigEnumerator} if K is an integer.\nWeighted graph problems is only supported if K is Single.\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#Element-Algebras","page":"References","title":"Element Algebras","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"is_commutative_semiring","category":"page"},{"location":"ref/#GenericTensorNetworks.is_commutative_semiring","page":"References","title":"GenericTensorNetworks.is_commutative_semiring","text":"is_commutative_semiring(a::T, b::T, c::T) where T\n\nCheck if elements a, b and c satisfied the commutative semiring requirements.\n\nbeginalign*\n(a oplus b) oplus c = a oplus (b oplus c)  hspace5emtrianglerighttextcommutative monoid oplus with identity mathbb0\na oplus mathbb0 = mathbb0 oplus a = a \na oplus b = b oplus a \n\n(a odot b) odot c = a odot (b odot c)     hspace5emtriangleright textcommutative monoid odot with identity mathbb1\na odot  mathbb1 =  mathbb1 odot a = a \na odot b = b odot a \n\na odot (boplus c) = aodot b oplus aodot c    hspace5emtriangleright textleft and right distributive\n(aoplus b) odot c = aodot c oplus bodot c \n\na odot mathbb0 = mathbb0 odot a = mathbb0\nendalign*\n\n\n\n\n\n","category":"function"},{"location":"ref/","page":"References","title":"References","text":"TropicalNumbers.Tropical\nTropicalNumbers.CountingTropical\nExtendedTropical\nMods.Mod\nTruncatedPoly\nMax2Poly\nConfigEnumerator\nSumProductTree\nConfigSampler","category":"page"},{"location":"ref/#TropicalNumbers.Tropical","page":"References","title":"TropicalNumbers.Tropical","text":"TropicalMaxPlus{T} = Tropical{T} <: AbstractSemiring\n\nTropicalMaxPlus is a semiring algebra, can be described by\n\nTropical (TropicalMaxPlus), (ℝ, max, +, -Inf, 0).\n\nIt maps\n\n+ to max in regular algebra,\n* to + in regular algebra,\n1 to 0 in regular algebra,\n0 to -Inf in regular algebra (for integer content types, this is chosen as a small integer).\n\nExample\n\njulia> TropicalMaxPlus(1.0) + TropicalMaxPlus(3.0)\n3.0ₜ\n\njulia> TropicalMaxPlus(1.0) * TropicalMaxPlus(3.0)\n4.0ₜ\n\njulia> one(TropicalMaxPlusF64)\n0.0ₜ\n\njulia> zero(TropicalMaxPlusF64)\n-Infₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#TropicalNumbers.CountingTropical","page":"References","title":"TropicalNumbers.CountingTropical","text":"CountingTropical{T,CT} <: Number\n\nCounting tropical number type is also a semiring algebra. It is tropical algebra with one extra field for counting, it is introduced in arXiv:2008.06888.\n\nExample\n\njulia> CountingTropical(1.0, 5.0) + CountingTropical(3.0, 2.0)\n(3.0, 2.0)ₜ\n\njulia> CountingTropical(1.0, 5.0) * CountingTropical(3.0, 2.0)\n(4.0, 10.0)ₜ\n\njulia> one(CountingTropicalF64)\n(0.0, 1.0)ₜ\n\njulia> zero(CountingTropicalF64)\n(-Inf, 0.0)ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ExtendedTropical","page":"References","title":"GenericTensorNetworks.ExtendedTropical","text":"ExtendedTropical{K,TO} <: Number\nExtendedTropical{K}(orders)\n\nExtended Tropical numbers with largest K orders keeped, or the TruncatedPoly without coefficients, TO is the element type of orders, usually Tropical numbers. This algebra maps\n\n+ to finding largest K values of union of two sets.\n* to finding largest K values of sum combination of two sets.\n0 to set [-Inf, -Inf, ..., -Inf, -Inf]\n1 to set [-Inf, -Inf, ..., -Inf, 0]\n\nFields\n\norders is a vector of Tropical (CountingTropical) numbers as the largest-K solution sizes (solutions).\n\nExamples\n\njulia> x = ExtendedTropical{3}(Tropical.([1.0, 2, 3]))\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[1.0ₜ, 2.0ₜ, 3.0ₜ])\n\njulia> y = ExtendedTropical{3}(Tropical.([-Inf, 2, 5]))\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, 2.0ₜ, 5.0ₜ])\n\njulia> x * y\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[6.0ₜ, 7.0ₜ, 8.0ₜ])\n\njulia> x + y\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[2.0ₜ, 3.0ₜ, 5.0ₜ])\n\njulia> one(x)\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, 0.0ₜ])\n\njulia> zero(x)\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, -Infₜ])\n\n\n\n\n\n","category":"type"},{"location":"ref/#Mods.Mod","page":"References","title":"Mods.Mod","text":"Mod{m}(v) creates a modular number in mod m with value mod(v,m).\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.TruncatedPoly","page":"References","title":"GenericTensorNetworks.TruncatedPoly","text":"TruncatedPoly{K,T,TO} <: Number\nTruncatedPoly(coeffs::Tuple, maxorder)\n\nPolynomial truncated to largest K orders. T is the coefficients type and TO is the orders type.\n\nFields\n\ncoeffs is the largest-K coefficients of a polynomial. In GenericTensorNetworks, it can be the counting or enumeration of solutions.\nmaxorder is the order of a polynomial.\n\nExamples\n\njulia> TruncatedPoly((1,2,3), 6)\nx^4 + 2*x^5 + 3*x^6\n\njulia> TruncatedPoly((1,2,3), 6) * TruncatedPoly((5,2,1), 3)\n20*x^7 + 8*x^8 + 3*x^9\n\njulia> TruncatedPoly((1,2,3), 6) + TruncatedPoly((5,2,1), 3)\nx^4 + 2*x^5 + 3*x^6\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Max2Poly","page":"References","title":"GenericTensorNetworks.Max2Poly","text":"Max2Poly{T,TO} = TruncatedPoly{2,T,TO}\nMax2Poly(a, b, maxorder)\n\nA shorthand of TruncatedPoly{2}.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigEnumerator","page":"References","title":"GenericTensorNetworks.ConfigEnumerator","text":"ConfigEnumerator{N,S,C} <: AbstractSetNumber\n\nSet algebra for enumerating configurations, where N is the length of configurations, C is the size of storage in unit of UInt64, S is the bit width to store a single element in a configuration, i.e. log2(# of flavors), for bitstrings, it is 1`.\n\nFields\n\ndata is a vector of StaticElementVector as the solution set.\n\nExamples\n\njulia> a = ConfigEnumerator([StaticBitVector([1,1,1,0,0]), StaticBitVector([1,0,0,0,1])])\n{11100, 10001}\n\njulia> b = ConfigEnumerator([StaticBitVector([0,0,0,0,0]), StaticBitVector([1,0,1,0,1])])\n{00000, 10101}\n\njulia> a + b\n{11100, 10001, 00000, 10101}\n\njulia> one(a)\n{00000}\n\njulia> zero(a)\n{}\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SumProductTree","page":"References","title":"GenericTensorNetworks.SumProductTree","text":"SumProductTree{ET} <: AbstractSetNumber\n\nConfiguration enumerator encoded in a tree, it is the most natural representation given by a sum-product network and is often more memory efficient than putting the configurations in a vector. One can use generate_samples to sample configurations from this tree structure efficiently.\n\nFields\n\ntag is one of ZERO, ONE, LEAF, SUM, PROD.\ndata is the element stored in a LEAF node.\nleft and right are two operands of a SUM or PROD node.\n\nExamples\n\njulia> s = SumProductTree(bv\"00111\")\n00111\n\n\njulia> q = SumProductTree(bv\"10000\")\n10000\n\n\njulia> x = s + q\n+ (count = 2.0)\n├─ 00111\n└─ 10000\n\n\njulia> y = x * x\n* (count = 4.0)\n├─ + (count = 2.0)\n│  ├─ 00111\n│  └─ 10000\n└─ + (count = 2.0)\n   ├─ 00111\n   └─ 10000\n\n\njulia> collect(y)\n4-element Vector{StaticBitVector{5, 1}}:\n 00111\n 10111\n 10111\n 10000\n\njulia> zero(s)\n∅\n\n\n\njulia> one(s)\n00000\n\n\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigSampler","page":"References","title":"GenericTensorNetworks.ConfigSampler","text":"ConfigSampler{N,S,C} <: AbstractSetNumber\nConfigSampler(elements::StaticElementVector)\n\nThe algebra for sampling one configuration, where N is the length of configurations, C is the size of storage in unit of UInt64, S is the bit width to store a single element in a configuration, i.e. log2(# of flavors), for bitstrings, it is 1`.\n\nnote: Note\nConfigSampler is a probabilistic commutative semiring, adding two config samplers do not give you deterministic results.\n\nFields\n\ndata is a StaticElementVector as the sampled solution.\n\nExamples\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0]))\nConfigSampler{5, 1, 1}(11100)\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0])) + ConfigSampler(StaticBitVector([1,0,1,0,0]))\nConfigSampler{5, 1, 1}(10100)\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0])) * ConfigSampler(StaticBitVector([0,0,0,0,1]))\nConfigSampler{5, 1, 1}(11101)\n\njulia> one(ConfigSampler{5, 1, 1})\nConfigSampler{5, 1, 1}(00000)\n\njulia> zero(ConfigSampler{5, 1, 1})\nConfigSampler{5, 1, 1}(11111)\n\n\n\n\n\n","category":"type"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks also exports the Polynomial and LaurentPolynomial types defined in package Polynomials.","category":"page"},{"location":"ref/","page":"References","title":"References","text":"StaticBitVector\nStaticElementVector\nOnehotVec\nsave_configs\nload_configs\nsave_sumproduct\nload_sumproduct\n@bv_str\nonehotv\n\ngenerate_samples\nhamming_distribution","category":"page"},{"location":"ref/#GenericTensorNetworks.StaticBitVector","page":"References","title":"GenericTensorNetworks.StaticBitVector","text":"StaticBitVector{N,C} = StaticElementVector{N,1,C}\nStaticBitVector(x::AbstractVector)\n\nExamples\n\njulia> sb = StaticBitVector([1,0,0,1,1])\n10011\n\njulia> sb[3]\n0x0000000000000000\n\njulia> collect(Int, sb)\n5-element Vector{Int64}:\n 1\n 0\n 0\n 1\n 1\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.StaticElementVector","page":"References","title":"GenericTensorNetworks.StaticElementVector","text":"StaticElementVector{N,S,C}\nStaticElementVector(nflavor::Int, x::AbstractVector)\n\nN is the length of vector, C is the size of storage in unit of UInt64, S is the stride defined as the log2(# of flavors). When the number of flavors is 2, it is a StaticBitVector.\n\nFields\n\ndata is a tuple of UInt64 for storing the configuration of static elements.\n\nExamples\n\njulia> ev = StaticElementVector(3, [1,2,0,1,2])\n12012\n\njulia> ev[2]\n0x0000000000000002\n\njulia> collect(Int, ev)\n5-element Vector{Int64}:\n 1\n 2\n 0\n 1\n 2\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.OnehotVec","page":"References","title":"GenericTensorNetworks.OnehotVec","text":"OnehotVec{N,NF}\nOnehotVec{N,NF}(loc, val)\n\nOnehot vector type, N is the number of vector length, NF is the number of flavors.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.save_configs","page":"References","title":"GenericTensorNetworks.save_configs","text":"save_configs(filename, data::ConfigEnumerator; format=:binary)\n\nSave configurations data to file filename. The format is :binary or :text.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.load_configs","page":"References","title":"GenericTensorNetworks.load_configs","text":"load_configs(filename; format=:binary, bitlength=nothing, nflavors=2)\n\nLoad configurations from file filename. The format is :binary or :text. If the format is :binary, the bitstring length bitlength must be specified, nflavors specifies the degree of freedom.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.save_sumproduct","page":"References","title":"GenericTensorNetworks.save_sumproduct","text":"save_sumproduct(filename, t::SumProductTree)\n\nSerialize a sum-product tree into a file.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.load_sumproduct","page":"References","title":"GenericTensorNetworks.load_sumproduct","text":"load_sumproduct(filename)\n\nDeserialize a sum-product tree from a file.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.@bv_str","page":"References","title":"GenericTensorNetworks.@bv_str","text":"Constructing a static bit vector.\n\n\n\n\n\n","category":"macro"},{"location":"ref/#GenericTensorNetworks.onehotv","page":"References","title":"GenericTensorNetworks.onehotv","text":"onehotv(::Type{<:StaticElementVector}, i, v)\nonehotv(::Type{<:StaticBitVector, i)\n\nReturns a static element vector, with the value at location i being v (1 if not specified).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.generate_samples","page":"References","title":"GenericTensorNetworks.generate_samples","text":"generate_samples(t::SumProductTree, nsamples::Int)\n\nDirect sampling configurations from a SumProductTree instance.\n\nExamples\n\njulia> using Graphs\n\njulia> g= smallgraph(:petersen)\n{10, 15} undirected simple Int64 graph\n\njulia> t = solve(IndependentSet(g), ConfigsAll(; tree_storage=true))[];\n\njulia> samples = generate_samples(t, 1000);\n\njulia> all(s->is_independent_set(g, s), samples)\ntrue\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.hamming_distribution","page":"References","title":"GenericTensorNetworks.hamming_distribution","text":"hamming_distribution(S, T)\n\nCompute the distribution of pair-wise Hamming distances, which is defined as:\n\nc(k) = sum_sigmain S tauin T delta(rm dist(sigma tau) k)\n\nwhere delta is a function that returns 1 if two arguments are equivalent, 0 otherwise, rm dist is the Hamming distance function.\n\nReturns the counting as a vector.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Tensor-Network","page":"References","title":"Tensor Network","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"optimize_code\ngetixsv\ngetiyv\ncontraction_complexity\nestimate_memory\n@ein_str\nGreedyMethod\nTreeSA\nSABipartite\nKaHyParBipartite\nMergeVectors\nMergeGreedy","category":"page"},{"location":"ref/#OMEinsumContractionOrders.optimize_code","page":"References","title":"OMEinsumContractionOrders.optimize_code","text":"optimize_code(eincode, size_dict, optimizer = GreedyMethod(), simplifier=nothing, permute=true) -> optimized_eincode\n\nOptimize the einsum contraction code and reduce the time/space complexity of tensor network contraction. Returns a NestedEinsum instance. Input arguments are\n\neincode is an einsum contraction code instance, one of DynamicEinCode, StaticEinCode or NestedEinsum.\nsize is a dictionary of \"edge label=>edge size\" that contains the size information, one can use uniformsize(eincode, 2) to create a uniform size.\noptimizer is a CodeOptimizer instance, should be one of GreedyMethod, KaHyParBipartite, SABipartite or TreeSA. Check their docstrings for details.\nsimplifier is one of MergeVectors or MergeGreedy.\noptimize the permutation if permute is true.\n\nExamples\n\njulia> using OMEinsum\n\njulia> code = ein\"ij, jk, kl, il->\"\nij, jk, kl, il -> \n\njulia> optimize_code(code, uniformsize(code, 2), TreeSA())\nSlicedEinsum{Char, NestedEinsum{DynamicEinCode{Char}}}(Char[], ki, ki -> \n├─ jk, ij -> ki\n│  ├─ jk\n│  └─ ij\n└─ kl, il -> ki\n   ├─ kl\n   └─ il\n)\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.getixsv","page":"References","title":"OMEinsum.getixsv","text":"getixsv(code)\n\nGet labels of input tensors for EinCode, NestedEinsum and some other einsum like objects. Returns a vector of vectors.\n\njulia> getixsv(ein\"(ij,jk),k->i\")\n3-element Vector{Vector{Char}}:\n ['i', 'j']\n ['j', 'k']\n ['k']\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.getiyv","page":"References","title":"OMEinsum.getiyv","text":"getiy(code)\n\nGet labels of the output tensor for EinCode, NestedEinsum and some other einsum like objects. Returns a vector.\n\njulia> getiyv(ein\"(ij,jk),k->i\")\n1-element Vector{Char}:\n 'i': ASCII/Unicode U+0069 (category Ll: Letter, lowercase)\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsumContractionOrders.contraction_complexity","page":"References","title":"OMEinsumContractionOrders.contraction_complexity","text":"contraction_complexity(eincode, size_dict) -> ContractionComplexity\n\nReturns the time, space and read-write complexity of the einsum contraction. The returned object contains 3 fields:\n\ntime complexity tc defined as log2(number of element-wise multiplications).\nspace complexity sc defined as log2(size of the maximum intermediate tensor).\nread-write complexity rwc defined as log2(the number of read-write operations).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.estimate_memory","page":"References","title":"GenericTensorNetworks.estimate_memory","text":"estimate_memory(\n    problem::GraphProblem,\n    property::GenericTensorNetworks.AbstractProperty;\n    T\n) -> Any\n\n\nMemory estimation in number of bytes to compute certain property of a problem. T is the base type.\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.@ein_str","page":"References","title":"OMEinsum.@ein_str","text":"ein\"ij,jk -> ik\"(A,B)\n\nString macro interface which understands numpy.einsum's notation. Translates strings into StaticEinCode-structs that can be called to evaluate an einsum. To control evaluation order, use parentheses - instead of an EinCode, a NestedEinsum is returned which evaluates the expression according to parens. The valid character ranges for index-labels are a-z and α-ω.\n\nexample\n\njulia> a, b, c = rand(10,10), rand(10,10), rand(10,1);\n\njulia> ein\"ij,jk,kl -> il\"(a,b,c) ≈ ein\"(ij,jk),kl -> il\"(a,b,c) ≈ a * b * c\ntrue\n\n\n\n\n\n","category":"macro"},{"location":"ref/#OMEinsumContractionOrders.GreedyMethod","page":"References","title":"OMEinsumContractionOrders.GreedyMethod","text":"GreedyMethod{MT}\nGreedyMethod(; method=MinSpaceOut(), nrepeat=10)\n\nThe fast but poor greedy optimizer. Input arguments are\n\nmethod is MinSpaceDiff() or MinSpaceOut.\nMinSpaceOut choose one of the contraction that produces a minimum output tensor size,\nMinSpaceDiff choose one of the contraction that decrease the space most.\nnrepeat is the number of repeatition, returns the best contraction order.\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.TreeSA","page":"References","title":"OMEinsumContractionOrders.TreeSA","text":"TreeSA{RT,IT,GM}\nTreeSA(; sc_target=20, βs=collect(0.01:0.05:15), ntrials=10, niters=50,\n    sc_weight=1.0, rw_weight=0.2, initializer=:greedy, greedy_config=GreedyMethod(; nrepeat=1))\n\nOptimize the einsum contraction pattern using the simulated annealing on tensor expression tree.\n\nsc_target is the target space complexity,\nntrials, βs and niters are annealing parameters, doing ntrials indepedent annealings, each has inverse tempteratures specified by βs, in each temperature, do niters updates of the tree.\nsc_weight is the relative importance factor of space complexity in the loss compared with the time complexity.\nrw_weight is the relative importance factor of memory read and write in the loss compared with the time complexity.\ninitializer specifies how to determine the initial configuration, it can be :greedy or :random. If it is using :greedy method to generate the initial configuration, it also uses two extra arguments greedy_method and greedy_nrepeat.\nnslices is the number of sliced legs, default is 0.\nfixed_slices is a vector of sliced legs, default is [].\n\nReferences\n\nRecursive Multi-Tensor Contraction for XEB Verification of Quantum Circuits\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.SABipartite","page":"References","title":"OMEinsumContractionOrders.SABipartite","text":"SABipartite{RT,BT}\nSABipartite(; sc_target=25, ntrials=50, βs=0.1:0.2:15.0, niters=1000\n    max_group_size=40, greedy_config=GreedyMethod(), initializer=:random)\n\nOptimize the einsum code contraction order using the Simulated Annealing bipartition + Greedy approach. This program first recursively cuts the tensors into several groups using simulated annealing, with maximum group size specifed by max_group_size and maximum space complexity specified by sc_target, Then finds the contraction order inside each group with the greedy search algorithm. Other arguments are\n\nsize_dict, a dictionary that specifies leg dimensions,\nsc_target is the target space complexity, defined as log2(number of elements in the largest tensor),\nmax_group_size is the maximum size that allowed to used greedy search,\nβs is a list of inverse temperature 1/T,\nniters is the number of iteration in each temperature,\nntrials is the number of repetition (with different random seeds),\ngreedy_config configures the greedy method,\ninitializer, the partition configuration initializer, one can choose :random or :greedy (slow but better).\n\nReferences\n\nHyper-optimized tensor network contraction\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.KaHyParBipartite","page":"References","title":"OMEinsumContractionOrders.KaHyParBipartite","text":"KaHyParBipartite{RT,IT,GM}\nKaHyParBipartite(; sc_target, imbalances=collect(0.0:0.005:0.8),\n    max_group_size=40, greedy_config=GreedyMethod())\n\nOptimize the einsum code contraction order using the KaHyPar + Greedy approach. This program first recursively cuts the tensors into several groups using KaHyPar, with maximum group size specifed by max_group_size and maximum space complexity specified by sc_target, Then finds the contraction order inside each group with the greedy search algorithm. Other arguments are\n\nsc_target is the target space complexity, defined as log2(number of elements in the largest tensor),\nimbalances is a KaHyPar parameter that controls the group sizes in hierarchical bipartition,\nmax_group_size is the maximum size that allowed to used greedy search,\ngreedy_config is a greedy optimizer.\n\nReferences\n\nHyper-optimized tensor network contraction\nSimulating the Sycamore quantum supremacy circuits\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.MergeVectors","page":"References","title":"OMEinsumContractionOrders.MergeVectors","text":"MergeVectors <: CodeSimplifier\nMergeVectors()\n\nContraction code simplifier (in order to reduce the time of calling optimizers) that merges vectors to closest tensors.\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.MergeGreedy","page":"References","title":"OMEinsumContractionOrders.MergeGreedy","text":"MergeGreedy <: CodeSimplifier\nMergeGreedy(; threshhold=-1e-12)\n\nContraction code simplifier (in order to reduce the time of calling optimizers) that merges tensors greedily if the space complexity of merged tensors is reduced (difference smaller than the threshhold).\n\n\n\n\n\n","category":"type"},{"location":"ref/#Others","page":"References","title":"Others","text":"","category":"section"},{"location":"ref/#Graph","page":"References","title":"Graph","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"show_graph\nshow_gallery\nshow_einsum\n\ndiagonal_coupled_graph\nsquare_lattice_graph\nunit_disk_graph\nline_graph\n\nrandom_diagonal_coupled_graph\nrandom_square_lattice_graph","category":"page"},{"location":"ref/#LuxorGraphPlot.show_graph","page":"References","title":"LuxorGraphPlot.show_graph","text":"show_graph([f, ]graph::SimpleGraph;\n    locs=nothing,\n    layout=:auto,\n    optimal_distance=1.0,\n    spring_mask=trues(nv(graph)),\n\n    vertex_colors=nothing,\n    vertex_sizes=nothing,\n    vertex_stroke_colors=nothing,\n    vertex_text_colors=nothing,\n    edge_colors=nothing,\n    edge_line_widths=nothing,\n    texts = nothing,\n    format=DEFAULT_FORMAT[],\n    filename=nothing,\n    kwargs...)\n\nShow a graph in VSCode, Pluto or Jupyter notebook, or save it to a file.\n\nPositional arguments\n\nf is a function that returns extra Luxor plotting statements.\ngraph is a graph instance.\n\nKeyword arguments\n\nlocs is a vector of tuples for specifying the vertex locations.\nlayout is one of [:auto, :spring, :stress], the default value is :spring if locs is nothing.\noptimal_distance is a optimal distance parameter for spring optimizer.\nspring_mask specfies which location is optimizable for spring optimizer.\nvertex_colors is a vector of color strings for specifying vertex fill colors.\nvertex_sizes is a vector of real numbers for specifying vertex sizes.\nvertex_shapes is a vector of strings for specifying vertex shapes, the string should be \"circle\" or \"box\".\nvertex_stroke_colors is a vector of color strings for specifying vertex stroke colors.\nvertex_text_colors is a vector of color strings for specifying vertex text colors.\nedge_colors is a vector of color strings for specifying edge colors.\nedge_line_widths is a vector of real numbers for specifying edge line widths.\ntexts is a vector of strings for labeling vertices.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\nExample\n\njulia> using Graphs\n\njulia> show_graph(smallgraph(:petersen); format=:png, vertex_colors=rand([\"blue\", \"red\"], 10));\n\n\n\n\n\n","category":"function"},{"location":"ref/#LuxorGraphPlot.show_gallery","page":"References","title":"LuxorGraphPlot.show_gallery","text":"show_gallery([f, ]graph::SimpleGraph, grid::Tuple{Int,Int};\n    locs=nothing,\n    layout=:auto,\n    optimal_distance=1.0,\n    spring_mask=trues(nv(graph)),\n\n    vertex_configs=nothing,\n    edge_configs=nothing,\n    vertex_color=nothing,\n    edge_color=nothing,\n    edge_line_widths=nothing,\n\n    vertex_sizes=nothing,\n    vertex_shapes=nothing,\n    vertex_stroke_colors=nothing,\n    vertex_text_colors=nothing,\n    texts=nothing,\n    xpad=1.0,\n    ypad=1.0,\n    format=DEFAULT_FORMAT[],\n    filename=nothing,\n    kwargs...)\n\nShow a gallery of graphs for multiple vertex configurations or edge configurations in VSCode, Pluto or Jupyter notebook, or save it to a file.\n\nPositional arguments\n\nf is a function that returns extra Luxor plotting statements.\ngraph is a graph instance.\ngrid is the grid layout of the gallery, e.g. input value (2, 3) means a grid layout with 2 rows and 3 columns.\n\nKeyword arguments\n\nlocs is a vector of tuples for specifying the vertex locations.\nlayout is one of [:auto, :spring, :stress], the default value is :spring if locs is nothing.\noptimal_distance is a optimal distance parameter for spring optimizer.\nspring_mask specfies which location is optimizable for spring optimizer.\nvertex_configs is an iterator of bit strings for specifying vertex configurations. It will be rendered as vertex colors.\nedge_configs is an iterator of bit strings for specifying edge configurations. It will be rendered as edge colors.\nedge_color is a dictionary that specifies the edge configuration - color map.\nedge_line_widths is a vector of real numbers for specifying edge line widths.\nvertex_color is a dictionary that specifies the vertex configuration - color map.\nvertex_sizes is a vector of real numbers for specifying vertex sizes.\nvertex_shapes is a vector of strings for specifying vertex shapes, the string should be \"circle\" or \"box\".\nvertex_stroke_colors is a vector of color strings for specifying vertex stroke colors.\nvertex_text_colors is a vector of color strings for specifying vertex text colors.\ntexts is a vector of strings for labeling vertices.\nxpad is the space between two adjacent plots in x direction.\nypad is the space between two adjacent plots in y direction.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\nExample\n\njulia> using Graphs\n\njulia> show_gallery(smallgraph(:petersen), (2, 3); format=:png, vertex_configs=[rand(Bool, 10) for k=1:6]);\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.show_einsum","page":"References","title":"GenericTensorNetworks.show_einsum","text":"show_einsum(ein::AbstractEinsum;\n    tensor_locs=nothing,\n    label_locs=nothing,  # dict\n    spring::Bool=true,\n    optimal_distance=1.0,\n\n    tensor_size=0.3,\n    tensor_color=\"black\",\n    tensor_text_color=\"white\",\n    annotate_tensors=false,\n\n    label_size=0.15,\n    label_color=\"black\",\n    open_label_color=\"red\",\n    annotate_labels=true,\n    kwargs...\n    )\n\nPositional arguments\n\nein is an Einsum contraction code (provided by package OMEinsum).\n\nKeyword arguments\n\ntensor_locs is a vector of tuples for specifying the vertex locations.\nlabel_locs is a vector of tuples for specifying the vertex locations.\nspring is switch to use spring method to optimize the location.\noptimal_distance is a optimal distance parameter for spring optimizer.\ntensor_color is a string to specify the color of tensor nodes.\ntensor_size is a real number to specify the size of tensor nodes.\ntensor_text_color is a color strings to specify tensor text color.\nannotate_tensors is a boolean switch for annotate different tensors by integers.\nlabel_size is a real number to specify label text node size.\nlabel_color is a color strings to specify label text color.\nopen_label_color is a color strings to specify open label text color.\nannotate_labels is a boolean switch for annotate different labels.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_fill_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.diagonal_coupled_graph","page":"References","title":"GenericTensorNetworks.diagonal_coupled_graph","text":"diagonal_coupled_graph(mask::AbstractMatrix{Bool})\n\nCreate a masked diagonal coupled square lattice graph from a specified mask.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.square_lattice_graph","page":"References","title":"GenericTensorNetworks.square_lattice_graph","text":"square_lattice_graph(mask::AbstractMatrix{Bool})\n\nCreate a masked square lattice graph.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.unit_disk_graph","page":"References","title":"GenericTensorNetworks.unit_disk_graph","text":"unit_disk_graph(locs::AbstractVector, unit::Real)\n\nCreate a unit disk graph with locations specified by locs and unit distance unit.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.line_graph","page":"References","title":"GenericTensorNetworks.line_graph","text":"line_graph(g::SimpleGraph)\n\nReturns the line graph of g. The line graph is generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.random_diagonal_coupled_graph","page":"References","title":"GenericTensorNetworks.random_diagonal_coupled_graph","text":"random_diagonal_coupled_graph(m::Int, n::Int, ρ::Real)\n\nCreate a mtimes n random masked diagonal coupled square lattice graph,  with number of vertices equal to lfloor m times ntimes rho rceil.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.random_square_lattice_graph","page":"References","title":"GenericTensorNetworks.random_square_lattice_graph","text":"random_square_lattice_graph(m::Int, n::Int, ρ::Real)\n\nCreate a random masked square lattice graph, with number of vertices fixed to lfloor mnrho rceil.\n\n\n\n\n\n","category":"function"},{"location":"ref/","page":"References","title":"References","text":"One can also use random_regular_graph and smallgraph in Graphs to build special graphs.","category":"page"},{"location":"ref/#Multiprocessing","page":"References","title":"Multiprocessing","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","category":"page"},{"location":"ref/#GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","page":"References","title":"GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","text":"multiprocess_run(func, inputs::AbstractVector)\n\nExecute function func on inputs with multiple processing.\n\nExample\n\nSuppose we have a file run.jl with the following contents\n\nusing GenericTensorNetworks.SimpleMultiprocessing\n\nresults = multiprocess_run(x->x^2, randn(8))\n\nIn an terminal, you may run the script with 4 processes by typing\n\n$ julia -p4 run.jl\n      From worker 2:\t[ Info: running argument -0.17544008350172655 on device 2\n      From worker 5:\t[ Info: running argument 0.34578117779452555 on device 5\n      From worker 3:\t[ Info: running argument 2.0312551239727705 on device 3\n      From worker 4:\t[ Info: running argument -0.7319353419291961 on device 4\n      From worker 2:\t[ Info: running argument 0.013132180639054629 on device 2\n      From worker 3:\t[ Info: running argument 0.9960101782201602 on device 3\n      From worker 4:\t[ Info: running argument -0.5613942832743966 on device 4\n      From worker 5:\t[ Info: running argument 0.39460402723831134 on device 5\n\n\n\n\n\n","category":"function"},{"location":"","page":"Home","title":"Home","text":"CurrentModule = GenericTensorNetworks","category":"page"},{"location":"#GenericTensorNetworks","page":"Home","title":"GenericTensorNetworks","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"This package implements generic tensor networks to compute solution space properties of a class of hard combinatorial problems. The solution space properties include","category":"page"},{"location":"","page":"Home","title":"Home","text":"The maximum/minimum solution sizes,\nThe number of solutions at certain sizes,\nThe enumeration of solutions at certain sizes.\nThe direct sampling of solutions at certain sizes.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The solvable problems include Independent set problem, Maximal independent set problem, Spin-glass problem, Cutting problem, Vertex matching problem, Binary paint shop problem, Coloring problem, Dominating set problem, Satisfiability problem, Set packing problem and Set covering problem.","category":"page"},{"location":"#Background-knowledge","page":"Home","title":"Background knowledge","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"Please check our paper \"Computing properties of independent sets by generic programming tensor networks\". If you find our paper or software useful in your work, we would be grateful if you could cite our work. The CITATION.bib file in the root of this repository lists the relevant papers.","category":"page"},{"location":"#Quick-start","page":"Home","title":"Quick start","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"You can find a set up guide in our README. To get started, open a Julia REPL and type the following code.","category":"page"},{"location":"","page":"Home","title":"Home","text":"julia> using GenericTensorNetworks, Graphs\n\njulia> # using CUDA\n\njulia> solve(\n           IndependentSet(\n               Graphs.random_regular_graph(20, 3);\n               optimizer = TreeSA(),\n               weights = NoWeight(),    # default: uniform weight 1\n               openvertices = (),       # default: no open vertices\n               fixedvertices = Dict()   # default: no fixed vertices\n           ),\n           GraphPolynomial();\n           usecuda=false              # the default value\n       )\n0-dimensional Array{Polynomial{BigInt, :x}, 0}:\nPolynomial(1 + 20*x + 160*x^2 + 659*x^3 + 1500*x^4 + 1883*x^5 + 1223*x^6 + 347*x^7 + 25*x^8)","category":"page"},{"location":"","page":"Home","title":"Home","text":"Here the main function solve takes three input arguments, the problem instance of type IndependentSet, the property instance of type GraphPolynomial and an optional key word argument usecuda to decide use GPU or not. If one wants to use GPU to accelerate the computation, the using CUDA statement must uncommented.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The problem instance takes four arguments to initialize, the only positional argument is the graph instance that one wants to solve, the key word argument optimizer is for specifying the tensor network optimization algorithm, the key word argument weights is for specifying the weights of vertices as either a vector or NoWeight(). The keyword argument openvertices is a tuple of labels for specifying the degrees of freedom not summed over, and fixedvertices is a label-value dictionary for specifying the fixed values of the degree of freedoms. Here, we use TreeSA method as the tensor network optimizer, and leave weights and openvertices the default values. The TreeSA method finds the best contraction order in most of our applications, while the default GreedyMethod runs the fastest.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The first execution of this function will be a bit slow due to Julia's just in time compiling. The subsequent runs will be fast. The following diagram lists possible combinations of input arguments, where functions in the Graph are mainly defined in the package Graphs, and the rest can be found in this package.","category":"page"},{"location":"","page":"Home","title":"Home","text":"<div align=center>\n<img src=\"assets/fig7.svg\" width=\"75%\"/>\n</div>","category":"page"},{"location":"","page":"Home","title":"Home","text":"⠀ You can find many examples in this documentation, a good one to start with is Independent set problem.","category":"page"}]
+[{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"EditURL = \"../../../examples/IndependentSet.jl\"","category":"page"},{"location":"generated/IndependentSet/#Independent-set-problem","page":"Independent set problem","title":"Independent set problem","text":"","category":"section"},{"location":"generated/IndependentSet/#Problem-definition","page":"Independent set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"In graph theory, an independent set is a set of vertices in a graph, no two of which are adjacent.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"In the following, we are going to solve the solution space properties of the independent set problem on the Petersen graph. To start, let us define a Petersen graph instance.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can visualize this graph using the show_graph function","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"# set the vertex locations manually instead of using the default spring layout\nrot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The graphical display is available in the following editors","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"a VSCode editor,\na Jupyter notebook,\nor a Pluto notebook,","category":"page"},{"location":"generated/IndependentSet/#Generic-tensor-network-representation","page":"Independent set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The generic tensor network representation of the independent set problem can be constructed with IndependentSet.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"problem = IndependentSet(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Here, the key word argument optimizer specifies the tensor network contraction order optimizer as a local search based optimizer TreeSA. The resulting contraction order optimized tensor network is contained in the code field of problem.","category":"page"},{"location":"generated/IndependentSet/#Theory-(can-skip)","page":"Independent set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Let G=(V E) be a graph with each vertex vin V associated with a weight w_v. To reduce the independent set problem on it to a tensor network contraction, we first map a vertex vin V to a label s_v in 0 1 of dimension 2, where we use 0 (1) to denote a vertex absent (present) in the set. For each vertex v, we defined a parameterized rank-one tensor indexed by s_v as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"W(x_v^w_v) = left(beginmatrix\n    1 \n    x_v^w_v\n    endmatrixright)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"where x_v is a variable associated with v. Similarly, for each edge (u v) in E, we define a matrix B indexed by s_u and s_v as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"B = left(beginmatrix\n1   1\n1  0\nendmatrixright)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Ideally, an optimal contraction order has a space complexity 2^rm tw(G), where rm tw(G) is the tree-width of G (or graph in the code). We can check the time, space and read-write complexities by typing","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"For more information about how to improve the contraction order, please check the Performance Tips.","category":"page"},{"location":"generated/IndependentSet/#Solution-space-properties","page":"Independent set problem","title":"Solution space properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Maximum-independent-set-size-\\alpha(G)","page":"Independent set problem","title":"Maximum independent set size alpha(G)","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can compute solution space properties with the solve function, which takes two positional arguments, the problem instance and the wanted property.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"maximum_independent_set_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Here SizeMax means finding the solution with maximum set size. The return value has Tropical type. We can get its content by typing","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"maximum_independent_set_size.n","category":"page"},{"location":"generated/IndependentSet/#Counting-properties","page":"Independent set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Count-all-solutions-and-best-several-solutions","page":"Independent set problem","title":"Count all solutions and best several solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count all independent sets with the CountingAll property.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_all_independent_sets = solve(problem, CountingAll())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type Float64. The counting of all independent sets is equivalent to the infinite temperature partition function","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"solve(problem, PartitionFunction(0.0))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count the maximum independent sets with CountingMax.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_maximum_independent_sets = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical, which contains two fields. They are n being the maximum independent set size and c being the number of the maximum independent sets.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_maximum_independent_sets.c","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"Similarly, we can count independent sets of sizes alpha(G) and alpha(G)-1 by feeding an integer positional argument to CountingMax.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_max2_independent_sets = solve(problem, CountingMax(2))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type TruncatedPoly, which contains two fields. They are maxorder being the maximum independent set size and coeffs being the number of independent sets having sizes alpha(G)-1 and alpha(G).","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"count_max2_independent_sets.coeffs","category":"page"},{"location":"generated/IndependentSet/#Find-the-graph-polynomial","page":"Independent set problem","title":"Find the graph polynomial","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can count the number of independent sets at any size, which is equivalent to finding the coefficients of an independence polynomial that defined as","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"I(G x) = sum_k=0^alpha(G) a_k x^k","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"where alpha(G) is the maximum independent set size, a_k is the number of independent sets of size k. The total number of independent sets is thus equal to I(G 1). There are 3 methods to compute a graph polynomial, :finitefield, :fft and :polynomial. These methods are introduced in the docstring of GraphPolynomial.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"independence_polynomial = solve(problem, GraphPolynomial(; method=:finitefield))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return type is Polynomial.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"independence_polynomial.coeffs","category":"page"},{"location":"generated/IndependentSet/#Configuration-properties","page":"Independent set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/IndependentSet/#Find-one-best-solution","page":"Independent set problem","title":"Find one best solution","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use the bounded or unbounded SingleConfigMax to find one of the solutions with largest size. The unbounded (default) version uses a joint type of CountingTropical and ConfigSampler in computation, where CountingTropical finds the maximum size and ConfigSampler samples one of the best solutions. The bounded version uses the binary gradient back-propagation (see our paper) to compute the gradients. It requires caching intermediate states, but is often faster (on CPU) because it can use TropicalGEMM (see Performance Tips).","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"max_config = solve(problem, SingleConfigMax(; bounded=false))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical with its counting field having ConfigSampler type. The data field of ConfigSampler is a bit string that corresponds to the solution","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"single_solution = max_config.c.data","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"This bit string should be read from left to right, with the i-th bit being 1 (0) to indicate the i-th vertex is present (absent) in the set. We can visualize this MIS with the following function.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"show_graph(graph; locs=locations, format=:svg, vertex_colors=\n    [iszero(single_solution[i]) ? \"white\" : \"red\" for i=1:nv(graph)])","category":"page"},{"location":"generated/IndependentSet/#Enumerate-all-solutions-and-best-several-solutions","page":"Independent set problem","title":"Enumerate all solutions and best several solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use bounded or unbounded ConfigsMax to find all solutions with largest-K set sizes. In most cases, the bounded (default) version is preferred because it can reduce the memory usage significantly.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_max_configs = solve(problem, ConfigsMax(; bounded=true))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type CountingTropical, while its counting field having type ConfigEnumerator. The data field of a ConfigEnumerator instance contains a vector of bit strings.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_max_configs.c.data","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"These solutions can be visualized with the show_gallery function.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"show_gallery(graph, (1, length(all_max_configs.c)); locs=locations, vertex_configs=all_max_configs.c, format=:svg)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use ConfigsAll to enumerate all sets satisfying the independence constraint.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_independent_sets = solve(problem, ConfigsAll())[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has type ConfigEnumerator.","category":"page"},{"location":"generated/IndependentSet/#Sample-solutions","page":"Independent set problem","title":"Sample solutions","text":"","category":"section"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"It is often difficult to store all configurations in a vector. A more clever way to store the data is using the sum product tree format.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"The return value has the SumProductTree type. Its length corresponds to the number of configurations.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"length(all_independent_sets_tree)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"We can use Base.collect function to create a ConfigEnumerator or use generate_samples to generate samples from it.","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"collect(all_independent_sets_tree)\n\ngenerate_samples(all_independent_sets_tree, 10)","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"","category":"page"},{"location":"generated/IndependentSet/","page":"Independent set problem","title":"Independent set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"EditURL = \"../../../examples/PaintShop.jl\"","category":"page"},{"location":"generated/PaintShop/#Binary-paint-shop-problem","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/PaintShop/#Problem-Definition","page":"Binary paint shop problem","title":"Problem Definition","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The binary paint shop problem is defined as follows: we are given a 2m length sequence containing m cars, where each car appears twice. Each car need to be colored red in one occurrence, and blue in the other. We need to choose which occurrence for each car to color with which color — the goal is to minimize the number of times we need to change the current color.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"In the following, we use a character to represent a car, and defined a binary paint shop problem as a string that each character appear exactly twice.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"using GenericTensorNetworks, Graphs\n\nsequence = collect(\"iadgbeadfcchghebif\")","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"We can visualize this paint shop problem as a graph","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"rot(a, b, θ) = cos(θ)*a + sin(θ)*b, cos(θ)*b - sin(θ)*a\n\nlocations = [rot(0.0, 2.0, -0.25π - 1.5*π*(i-0.5)/length(sequence)) for i=1:length(sequence)]\n\ngraph = path_graph(length(sequence))\nfor i=1:length(sequence)\n    j = findlast(==(sequence[i]), sequence)\n    i != j && add_edge!(graph, i, j)\nend\n\nshow_graph(graph; locs=locations, texts=string.(sequence), format=:svg, edge_colors=\n    [sequence[e.src] == sequence[e.dst] ? \"blue\" : \"black\" for e in edges(graph)])","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Vertices connected by blue edges must have different colors, and the goal becomes a min-cut problem defined on black edges.","category":"page"},{"location":"generated/PaintShop/#Generic-tensor-network-representation","page":"Binary paint shop problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Let us construct the problem instance as bellow.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"problem = PaintShop(sequence);\nnothing #hide","category":"page"},{"location":"generated/PaintShop/#Theory-(can-skip)","page":"Binary paint shop problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Type PaintShop can be used for constructing the tensor network with optimized contraction order for solving a binary paint shop problem. To obtain its tensor network representation, we associating car c_i (the i-th character in our example) with a degree of freedom s_c_i in 0 1, where we use 0 to denote the first appearance of a car is colored red and 1 to denote the first appearance of a car is colored blue. For each black edges (i i+1), we define an edge tensor labeled by (s_c_i s_c_i+1) as follows: If both cars on this edge are their first or second appearance","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"B^rm parallel = left(beginmatrix\nx  1 \n1  x \nendmatrixright)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"otherwise,","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"B^rm anti-parallel = left(beginmatrix\n1  x \nx  1 \nendmatrixright)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"It can be understood as, when both cars are their first appearance, they tend to have the same configuration so that the color is not changed. Otherwise, they tend to have different configuration to keep the color unchanged.","category":"page"},{"location":"generated/PaintShop/#Counting-properties","page":"Binary paint shop problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/PaintShop/#graph-polynomial","page":"Binary paint shop problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The graph polynomial defined for the maximal independent set problem is","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"I_rm max(G x) = sum_k=0^alpha(G) b_k x^k","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"where b_k is the number of maximal independent sets of size k in graph G=(V E).","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"max_config = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Since it only counts the maximal independent sets, the first several coefficients are 0.","category":"page"},{"location":"generated/PaintShop/#Counting-properties-2","page":"Binary paint shop problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/PaintShop/#graph-polynomial-2","page":"Binary paint shop problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The graph polynomial of the binary paint shop problem in our convention is defined as","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"P(G x) = sum_k=0^delta(G) p_k x^k","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"where p_k is the number of possible coloring with number of color changes 2m-1-k.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"paint_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/PaintShop/#Configuration-properties","page":"Binary paint shop problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/PaintShop/#finding-best-solutions","page":"Binary paint shop problem","title":"finding best solutions","text":"","category":"section"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"best_configs = solve(problem, ConfigsMin())[]","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"One can see to identical bitstrings corresponding two different vertex configurations, they are related to bit-flip symmetry.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"painting1 = paint_shop_coloring_from_config(problem, best_configs.c.data[1])\n\nshow_graph(graph; locs=locations, format=:svg, texts=string.(sequence),\n    edge_colors=[sequence[e.src] == sequence[e.dst] ? \"blue\" : \"black\" for e in edges(graph)],\n    vertex_colors=[isone(c) ? \"red\" : \"black\" for c in painting1], vertex_text_color=\"white\")","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"Since we have different choices of initial color, the number of best solution is 2.","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"The following function will check the solution and return you the number of color switches","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"num_paint_shop_color_switch(sequence, painting1)","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"","category":"page"},{"location":"generated/PaintShop/","page":"Binary paint shop problem","title":"Binary paint shop problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"sumproduct/#Sum-product-representation-for-configurations","page":"Sum product tree representation","title":"Sum product representation for configurations","text":"","category":"section"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"SumProductTree can use polynomial memory to store exponential number of configurations. It is a sum-product expression tree to store ConfigEnumerator in a lazy style, where configurations can be extracted by depth first searching the tree with the Base.collect method. Although it is space efficient, it is in general not easy to extract information from it due to the exponential large configuration space. Directed sampling is one of its most important operations, with which one can get some statistic properties from it with an intermediate effort. For example, if we want to check some property of an intermediate scale graph, one can type","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"julia> graph = random_regular_graph(70, 3)\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA());\n\njulia> tree = solve(problem, ConfigsAll(; tree_storage=true))[];\n16633909006371","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"If one wants to store these configurations, he will need a hard disk of size 256 TB! However, this sum-product binary tree structure supports efficient and unbiased direct sampling.","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"samples = generate_samples(tree, 1000);","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"With these samples, one can already compute useful properties like Hamming distance (see hamming_distribution) distribution.","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"julia> using UnicodePlots\n\njulia> lineplot(hamming_distribution(samples, samples))\n          ┌────────────────────────────────────────┐ \n   100000 │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠹⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡎⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⡇⠀⢣⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠸⡄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠃⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡞⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⡇⠀⠀⠀⠀⠀⣇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⢰⠁⠀⠀⠀⠀⠀⢸⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⠀⡼⠀⠀⠀⠀⠀⠀⠈⡆⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n          │⠀⠀⠀⠀⠀⠀⠀⠀⢠⠇⠀⠀⠀⠀⠀⠀⠀⢳⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ \n        0 │⢀⣀⣀⣀⣀⣀⣀⣀⠎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠓⢄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⠀⠀⠀⠀│ \n          └────────────────────────────────────────┘ \n          ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀80⠀ ","category":"page"},{"location":"sumproduct/","page":"Sum product tree representation","title":"Sum product tree representation","text":"Here, the x-axis is the Hamming distance and the y-axis is the counting of pair-wise Hamming distances.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"EditURL = \"../../../examples/Coloring.jl\"","category":"page"},{"location":"generated/Coloring/#Coloring-problem","page":"Coloring problem","title":"Coloring problem","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Coloring/#Problem-definition","page":"Coloring problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"A vertex coloring is an assignment of labels or colors to each vertex of a graph such that no edge connects two identically colored vertices. In the following, we are going to defined a 3-coloring problem for the Petersen graph.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/Coloring/#Generic-tensor-network-representation","page":"Coloring problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"We construct the tensor network for the 3-coloring problem as","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"problem = Coloring{3}(graph);\nnothing #hide","category":"page"},{"location":"generated/Coloring/#Theory-(can-skip)","page":"Coloring problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Type Coloring can be used for constructing the tensor network with optimized contraction order for a coloring problem. Let us use 3-coloring problem defined on vertices as an example. For a vertex v, we define the degrees of freedom c_vin123 and a vertex tensor labelled by it as","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"W(v) = left(beginmatrix\n    1\n    1\n    1\nendmatrixright)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"For an edge (u v), we define an edge tensor as a matrix labelled by (c_u c_v) to specify the constraint","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"B = left(beginmatrix\n    1  x  x\n    x  1  x\n    x  x  1\nendmatrixright)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"The number of possible coloring can be obtained by contracting this tensor network by setting vertex tensor elements r_v g_v and b_v to 1.","category":"page"},{"location":"generated/Coloring/#Solving-properties","page":"Coloring problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Coloring/#counting-all-possible-coloring","page":"Coloring problem","title":"counting all possible coloring","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"num_of_coloring = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/Coloring/#finding-one-best-coloring","page":"Coloring problem","title":"finding one best coloring","text":"","category":"section"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"single_solution = solve(problem, SingleConfigMax())[]\n\nis_vertex_coloring(graph, single_solution.c.data)\n\nvertex_color_map = Dict(0=>\"red\", 1=>\"green\", 2=>\"blue\")\n\nshow_graph(graph; locs=locations, format=:svg, vertex_colors=[vertex_color_map[Int(c)]\n     for c in single_solution.c.data])","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Let us try to solve the same issue on its line graph, a graph that generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"linegraph = line_graph(graph)\n\nshow_graph(linegraph; locs=[0.5 .* (locations[e.src] .+ locations[e.dst])\n     for e in edges(graph)], format=:svg)","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"Let us construct the tensor network and see if there are solutions.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"lineproblem = Coloring{3}(linegraph);\n\nnum_of_coloring = solve(lineproblem, CountingMax())[]","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"You will see the maximum size 28 is smaller than the number of edges in the linegraph, meaning no solution for the 3-coloring on edges of a Petersen graph.","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"","category":"page"},{"location":"generated/Coloring/","page":"Coloring problem","title":"Coloring problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"EditURL = \"../../../examples/SetPacking.jl\"","category":"page"},{"location":"generated/SetPacking/#Set-packing-problem","page":"Set packing problem","title":"Set packing problem","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SetPacking/#Problem-definition","page":"Set packing problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The set packing problem is generalization of the IndependentSet problem from the simple graph to the multigraph. Suppose one has a finite set S and a list of subsets of S. Then, the set packing problem asks if some k subsets in the list are pairwise disjoint. In the following, we will find the solution space properties for the set in the Set covering problem.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The packing stadium areas of cameras are represented as the following sets.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"sets = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]","category":"page"},{"location":"generated/SetPacking/#Generic-tensor-network-representation","page":"Set packing problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"We create a [SetPacking] instance that contains a generic tensor network as its code field.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"problem = SetPacking(sets);\nnothing #hide","category":"page"},{"location":"generated/SetPacking/#Theory-(can-skip)","page":"Set packing problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Let S be the target set packing problem that we want to solve. For each set s in S, we associate it with a weight w_s to it. The tensor network representation map a set sin S to a boolean degree of freedom v_sin0 1. For each set s, we defined a parameterized rank-one tensor indexed by v_s as","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"W(x_s^w_s) = left(beginmatrix\n    1 \n    x_s^w_s\n    endmatrixright)","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"where x_s is a variable associated with s. For each unique element a, we defined the constraint over all sets containing it N(a) = s  s in S land ain s:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"B_s_1s_2ldotss_N(a) = begincases\n    0  s_1+s_2+ldots+s_N(a)  1\n    1  textotherwise\nendcases","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"This tensor means if in a configuration, two sets contain the element a, then this configuration is forbidden, One can check the contraction time space complexity of a SetPacking instance by typing:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/SetPacking/#Solving-properties","page":"Set packing problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SetPacking/#Counting-properties","page":"Set packing problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SetPacking/#The-\"graph\"-polynomial","page":"Set packing problem","title":"The \"graph\" polynomial","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The graph polynomial for the set packing problem is defined as","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"P(S x) = sum_k=0^alpha(S) c_k x^k","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"where c_k is the number of configurations having k sets, and alpha(S) is the maximum size of the packing.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"packing_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"The maximum number of sets that packing the set of elements can be computed with the SizeMax property:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"max_packing_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Similarly, we have its counting CountingMax:","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"counting_maximum_set_packing = solve(problem, CountingMax())[]","category":"page"},{"location":"generated/SetPacking/#Configuration-properties","page":"Set packing problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SetPacking/#Finding-maximum-set-packing","page":"Set packing problem","title":"Finding maximum set packing","text":"","category":"section"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"One can enumerate all maximum set packing with the ConfigsMax property in the program.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"max_configs = solve(problem, ConfigsMax())[].c","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Hence the only optimal solution is z_1 z_3 z_6 that has size 3. The correctness of this result can be checked with the is_set_packing function.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"all(c->is_set_packing(sets, c), max_configs)","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"Similarly, if one is only interested in computing one of the maximum set packing, one can use the graph property SingleConfigMax.","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"","category":"page"},{"location":"generated/SetPacking/","page":"Set packing problem","title":"Set packing problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"EditURL = \"../../../examples/open.jl\"","category":"page"},{"location":"generated/open/#Open-and-fixed-degrees-of-freedom","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"","category":"section"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"Open degrees of freedom is useful when one want to get the marginal about certain degrees of freedom. When one specifies the openvertices keyword argument in solve function as a tuple of vertices, the output will be a tensor that can be indexed by these degrees of freedom. Let us use the maximum independent set problem on Petersen graph as an example.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"The following code computes the MIS tropical tensor (reference to be added) with open vertices 1, 2 and 3.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"problem = IndependentSet(graph; openvertices=[1,2,3]);\n\nmarginal = solve(problem, SizeMax())","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"The return value is a rank-3 tensor, with its elements being the MIS sizes under different configuration of open vertices. For the maximum independent set problem, this tensor is also called the MIS tropical tensor, which can be useful in the MIS tropical tensor analysis (reference to be added).","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"One can also specify the fixed degrees of freedom by providing the fixedvertices keyword argument as a Dict, which can be used to get conditioned probability. For example, we can use the following code to do the same calculation as using openvertices.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"problem = IndependentSet(graph; fixedvertices=Dict(1=>0, 2=>0, 3=>0));\n\noutput = zeros(TropicalF64,2,2,2);\n\nmarginal_alternative = map(CartesianIndices((2,2,2))) do ci\n    problem.fixedvertices[1] = ci.I[1]-1\n    problem.fixedvertices[2] = ci.I[2]-1\n    problem.fixedvertices[3] = ci.I[3]-1\n    output[ci] = solve(problem, SizeMax())[]\nend","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"One can easily check this one also gets the correct marginal on vertices 1, 2 and 3. As a reminder, their computational hardness can be different, because the contraction order optimization program can optimize over open degrees of freedom.","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"","category":"page"},{"location":"generated/open/","page":"Open and fixed degrees of freedom","title":"Open and fixed degrees of freedom","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"EditURL = \"../../../examples/HyperSpinGlass.jl\"","category":"page"},{"location":"generated/HyperSpinGlass/#Hyper-Spin-glass-problem","page":"Hyper Spin glass problem","title":"Hyper-Spin-glass problem","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/HyperSpinGlass/#Problem-definition","page":"Hyper Spin glass problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The hyper-spin-glass problem is a natural generalization of the spin-glass problem from simple graph to hypergraph. A hyper-spin-glass problem of hypergraph H = (V E) can be characterized by the following energy function","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"E = sum_c in E w_c prod_vin c S_v","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where S_v in -1 1, w_c is coupling strength associated with hyperedge c. In the program, we use boolean variable s_v = frac1-S_v2 to represent a spin configuration.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"using GenericTensorNetworks","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"In the following, we are going to defined an spin glass problem for the following hypergraph.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"num_vertices = 15\n\nhyperedges = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]\n\nweights = [-1, 1, -1, 1, -1, 1, -1, 1];\nnothing #hide","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The energy function is","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"beginalign*\nE = -S_1S_3S_4S_6S_7 + S_4S_7S_8S_12 - S_2S_5S_9S_11S_13 +\n   S_1S_2S_14S_15 - S_3S_6S_10S_12S_14 + S_8S_14S_15 +\n   S_1S_2S_6S_11 - S_1s_2S_4S_6S_8S_12\nendalign*","category":"page"},{"location":"generated/HyperSpinGlass/#Generic-tensor-network-representation","page":"Hyper Spin glass problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"We define an anti-ferromagnetic spin glass problem as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"problem = HyperSpinGlass(num_vertices, hyperedges; weights);\nnothing #hide","category":"page"},{"location":"generated/HyperSpinGlass/#Theory-(can-skip)","page":"Hyper Spin glass problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Let H = (V E) be a hypergraph. The tensor network for the partition function of the energy model for H can be defined as the following triple of (alphabet of labels, input tensors, output labels).","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"begincases\nLambda = s_v mid v in V\nmathcalT = B^(c)_s_N(c 1)N(c 2)ldotsN(c d(c)) mid c in E cup W^(v)_s_v mid v in V\nsigma_o = varepsilon\nendcases","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where s_v in 0 1 is the boolean degreen associated to vertex v, N(c k) is the kth vertex of hyperedge c, and d(c) is the degree of c. The edge tensor B^(c) is defined as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"B^(c) = begincases\nx^w_c   (sum_vin c s_v) is even \nx^-w_c    otherwise\nendcases","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"and the vertex tensor W^(v) (used to carry labels) is defined as","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"W^(v) = left(beginmatrix1_v 1_vendmatrixright)","category":"page"},{"location":"generated/HyperSpinGlass/#Solving-properties","page":"Hyper Spin glass problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#Minimum-and-maximum-energies","page":"Hyper Spin glass problem","title":"Minimum and maximum energies","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Its ground state energy is -8.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Emin = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"While the state correspond to the highest energy has the ferromagnetic order.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Emax = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"In this example, the spin configurations can be chosen to make all hyperedges having even or odd spin parity.","category":"page"},{"location":"generated/HyperSpinGlass/#Counting-properties","page":"Hyper Spin glass problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#partition-function-and-graph-polynomial","page":"Hyper Spin glass problem","title":"partition function and graph polynomial","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The graph polynomial defined for the hyper-spin-glass problem is a Laurent polynomial","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Z(G w x) = sum_k=E_rm min^E_rm max c_k x^k","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"where E_rm min and E_rm max are minimum and maximum energies, c_k is the number of spin configurations with energy k. Let the inverse temperature beta = 2, the partition function is","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"β = 2.0\nZ = solve(problem, PartitionFunction(β))[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"The infinite temperature partition function is the counting of all feasible configurations","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"solve(problem, PartitionFunction(0.0))[]","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"Let x = e^beta, it corresponds to the partition function of a spin glass at temperature beta^-1.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"poly = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/HyperSpinGlass/#Configuration-properties","page":"Hyper Spin glass problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/HyperSpinGlass/#finding-a-ground-state","page":"Hyper Spin glass problem","title":"finding a ground state","text":"","category":"section"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"ground_state = solve(problem, SingleConfigMin())[].c.data\n\nEmin_verify = hyperspinglass_energy(hyperedges, ground_state; weights)","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"You should see a consistent result as above Emin.","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"","category":"page"},{"location":"generated/HyperSpinGlass/","page":"Hyper Spin glass problem","title":"Hyper Spin glass problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"EditURL = \"../../../examples/Matching.jl\"","category":"page"},{"location":"generated/Matching/#Vertex-matching-problem","page":"Vertex matching problem","title":"Vertex matching problem","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Matching/#Problem-definition","page":"Vertex matching problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"A k-matching in a graph G is a set of k edges, no two of which have a vertex in common.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"In the following, we are going to defined a matching problem for the Petersen graph.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/Matching/#Generic-tensor-network-representation","page":"Vertex matching problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"We construct the tensor network for the matching problem by typing","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"problem = Matching(graph);\nnothing #hide","category":"page"},{"location":"generated/Matching/#Theory-(can-skip)","page":"Vertex matching problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"Type Matching can be used for constructing the tensor network with optimized contraction order for a matching problem. We map an edge (u v) in E to a label langle u vrangle in 0 1 in a tensor network, where 1 means two vertices of an edge are matched, 0 means otherwise. Then we define a tensor of rank d(v) = N(v) on vertex v such that,","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"W_langle v n_1rangle langle v n_2 rangle ldots langle v n_d(v)rangle = begincases\n    1  sum_i=1^d(v) langle v n_i rangle leq 1\n    0  textotherwise\nendcases","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"and a tensor of rank 1 on the bond","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"B_langle v wrangle = begincases\n1  langle v w rangle = 0 \nx  langle v w rangle = 1\nendcases","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where label langle v w rangle is equivalent to langle wvrangle.","category":"page"},{"location":"generated/Matching/#Solving-properties","page":"Vertex matching problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Matching/#Maximum-matching","page":"Vertex matching problem","title":"Maximum matching","text":"","category":"section"},{"location":"generated/Matching/#Configuration-properties","page":"Vertex matching problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"max_matching = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"The largest number of matching is 5, which means we have a perfect matching (vertices are all paired).","category":"page"},{"location":"generated/Matching/#matching-polynomial","page":"Vertex matching problem","title":"matching polynomial","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"The graph polynomial defined for the matching problem is known as the matching polynomial. Here, we adopt the first definition in the wiki page.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"M(G x) = sumlimits_k=1^V2 c_k x^k","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where k is the number of matches, and coefficients c_k are the corresponding counting.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"matching_poly = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/Matching/#Configuration-properties-2","page":"Vertex matching problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/Matching/#one-of-the-perfect-matches","page":"Vertex matching problem","title":"one of the perfect matches","text":"","category":"section"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"match_config = solve(problem, SingleConfigMax())[]","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"Let us show the result by coloring the matched edges to red","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"show_graph(graph; locs=locations, format=:svg, edge_colors=\n    [isone(match_config.c.data[i]) ? \"red\" : \"black\" for i=1:ne(graph)])","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"where we use edges with red color to related pairs of matched vertices.","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"","category":"page"},{"location":"generated/Matching/","page":"Vertex matching problem","title":"Vertex matching problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"EditURL = \"../../../examples/Satisfiability.jl\"","category":"page"},{"location":"generated/Satisfiability/#Satisfiability-problem","page":"Satisfiability problem","title":"Satisfiability problem","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/Satisfiability/#Problem-definition","page":"Satisfiability problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"In logic and computer science, the boolean satisfiability problem is the problem of determining if there exists an interpretation that satisfies a given boolean formula. One can specify a satisfiable problem in the conjunctive normal form. In boolean logic, a formula is in conjunctive normal form (CNF) if it is a conjunction (∧) of one or more clauses, where a clause is a disjunction (∨) of literals.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"using GenericTensorNetworks\n\n@bools a b c d e f g\n\ncnf = ∧(∨(a, b, ¬d, ¬e), ∨(¬a, d, e, ¬f), ∨(f, g), ∨(¬b, c))","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"To goal is to find an assignment to satisfy the above CNF. For a satisfiability problem at this size, we can find the following assignment to satisfy this assignment manually.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"assignment = Dict([:a=>true, :b=>false, :c=>false, :d=>true, :e=>false, :f=>false, :g=>true])\n\nsatisfiable(cnf, assignment)","category":"page"},{"location":"generated/Satisfiability/#Generic-tensor-network-representation","page":"Satisfiability problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"If we contract this tensor network, we will get a multiplicative factor x whenever there is a clause satisfied.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"problem = Satisfiability(cnf);\nnothing #hide","category":"page"},{"location":"generated/Satisfiability/#Theory-(can-skip)","page":"Satisfiability problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"We can construct a Satisfiability problem to solve the above problem. To generate a tensor network, we map a boolean variable x and its negation neg x to a degree of freedom (label) s_x in 0 1, where 0 stands for variable x having value false while 1 stands for having value true. Then we map a clause to a tensor. For example, a clause x  y  z can be mapped to a tensor labeled by (s_x s_y s_z).","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"C = left(beginmatrix\nleft(beginmatrix\nx  x \nx  x\nendmatrixright) \nleft(beginmatrix\nx  x \n1  x\nendmatrixright)\nendmatrixright)","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"There is only one entry (s_x s_y s_z) = (1 0 1) that makes this clause unsatisfied.","category":"page"},{"location":"generated/Satisfiability/#Solving-properties","page":"Satisfiability problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/Satisfiability/#Satisfiability-and-its-counting","page":"Satisfiability problem","title":"Satisfiability and its counting","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"The size of a satisfiability problem is defined by the number of satisfiable clauses.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"num_satisfiable = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"The GraphPolynomial of a satisfiability problem counts the number of solutions that k clauses satisfied.","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"num_satisfiable_count = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/Satisfiability/#Find-one-of-the-solutions","page":"Satisfiability problem","title":"Find one of the solutions","text":"","category":"section"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"single_config = solve(problem, SingleConfigMax())[].c.data","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"One will see a bit vector printed. One can create an assignment and check the validity with the following statement:","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"satisfiable(cnf, Dict(zip(labels(problem), single_config)))","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"","category":"page"},{"location":"generated/Satisfiability/","page":"Satisfiability problem","title":"Satisfiability problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"EditURL = \"../../../examples/SpinGlass.jl\"","category":"page"},{"location":"generated/SpinGlass/#Spin-glass-problem","page":"Spin glass problem","title":"Spin-glass problem","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SpinGlass/#Problem-definition","page":"Spin glass problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Let G=(V E) be a graph, the spin-glass problem in physics is characterized by the following energy function","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"H = -sum_ij in E J_ij s_i s_j + sum_i in V h_i s_i","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where h_i is an onsite energy term associated with spin s_i in -1 1, and J_ij is the coupling strength between spins s_i and s_j. In the program, we use boolean variable n_i = frac1-s_i2 to represent a spin configuration.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"In the following, we are going to defined an spin glass problem for the Petersen graph.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/SpinGlass/#Generic-tensor-network-representation","page":"Spin glass problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"We define an anti-ferromagnetic spin glass problem as","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"problem = SpinGlass(graph; J=fill(-1, ne(graph)));\nnothing #hide","category":"page"},{"location":"generated/SpinGlass/#Theory-(can-skip)","page":"Spin glass problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"The spin glass problem is reduced to the Cutting problem for solving. Let G=(VE) be a graph, the cutting problem can also be described by the following energy model","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"H^c = sum_ij in E C_ij ((1 - n_i) n_j + (1 - n_j) n_i) + sum_i in V w_i n_i","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where n_i is the same as the partition index in the cutting problem, C_ij = 2J_ij are edge weights and w_i = -2h_i are vertex weights. The total energy is shifted by -sum_ijin EJ_ij + sum_i in V h_i.","category":"page"},{"location":"generated/SpinGlass/#Solving-properties","page":"Spin glass problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SpinGlass/#Minimum-and-maximum-energies","page":"Spin glass problem","title":"Minimum and maximum energies","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Its ground state energy is -9.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Emin = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"While the state correspond to the highest energy has the ferromagnetic order.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Emax = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/SpinGlass/#Counting-properties","page":"Spin glass problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SpinGlass/#graph-polynomial","page":"Spin glass problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"The graph polynomial defined for the spin glass problem is a Laurent polynomial","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"Z(G J h x) = sum_k=E_rm min^E_rm max c_k x^k","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where E_rm min and E_rm max are minimum and maximum energies, c_k is the number of spin configurations with energy k. Let x = e^beta, it corresponds to the partition function of a spin glass at temperature beta^-1.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"partition_function = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SpinGlass/#Configuration-properties","page":"Spin glass problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SpinGlass/#finding-a-ground-state","page":"Spin glass problem","title":"finding a ground state","text":"","category":"section"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"ground_state = solve(problem, SingleConfigMin())[].c.data\n\nEmin_verify = spinglass_energy(graph, ground_state)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"You should see a consistent result as above Emin.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"show_graph(graph; locs=locations, vertex_colors=[\n        iszero(ground_state[i]) ? \"white\" : \"red\" for i=1:nv(graph)], format=:svg)","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"where a red vertex and a white vertex correspond to a spin having value 1 and 0 respectively.","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"","category":"page"},{"location":"generated/SpinGlass/","page":"Spin glass problem","title":"Spin glass problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"performancetips/#Performance-Tips","page":"Performance Tips","title":"Performance Tips","text":"","category":"section"},{"location":"performancetips/#Optimize-contraction-orders","page":"Performance Tips","title":"Optimize contraction orders","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Let us use the independent set problem on 3-regular graphs as an example.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using GenericTensorNetworks, Graphs, Random\n\njulia> graph = random_regular_graph(120, 3)\n{120, 180} undirected simple Int64 graph\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(\n    sc_target=20, sc_weight=1.0, rw_weight=3.0, ntrials=10, βs=0.01:0.1:15.0, niters=20), simplifier=MergeGreedy());","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The IndependentSet constructor maps an independent set problem to a tensor network with optimized contraction order. The key word argument optimizer specifies the contraction order optimizer of the tensor network. Here, we choose the local search based TreeSA algorithm, which often finds the smallest time/space complexity and supports slicing. One can type ?TreeSA in a Julia REPL for more information about how to configure the hyper-parameters of the TreeSA method,  while the detailed algorithm explanation is in arXiv: 2108.05665. Alternative tensor network contraction order optimizers include","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"GreedyMethod (default, fastest in searching speed but worst in contraction complexity)\nKaHyParBipartite\nSABipartite","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The keyword argument simplifier specifies the preprocessor to improve the searching speed of the contraction order finding. For example, the MergeGreedy() here \"contracts\" tensors greedily whenever the contraction result has a smaller space complexity. It can remove all vertex tensors (vectors) before entering the contraction order optimization algorithm.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The returned object problem contains a field code that specifies the tensor network with optimized contraction order. For an independent set problem, the optimal contraction time/space complexity is sim 2^rm tw(G), where rm tw(G) is the tree-width of G. One can check the time, space and read-write complexity with the contraction_complexity function.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^20.568850503058382\nSpace complexity (number of elements in the largest intermediate tensor) = 2^16.0\nRead-write complexity (number of element-wise read and write) = 2^18.70474460304404","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The return values are log2 values of the number of multiplications, the number elements in the largest tensor during contraction and the number of read-write operations to tensor elements. In this example, the number * operations is sim 2^219, the number of read-write operations are sim 2^20, and the largest tensor size is 2^17. One can check the element size by typing","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> sizeof(TropicalF64)\n8\n\njulia> sizeof(TropicalF32)\n4\n\njulia> sizeof(StaticBitVector{200,4})\n32\n\njulia> sizeof(TruncatedPoly{5,Float64,Float64})\n48","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can use estimate_memory to get a good estimation of peak memory in bytes. For example, to compute the graph polynomial, the peak memory can be estimated as follows.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> estimate_memory(problem, GraphPolynomial(; method=:finitefield))\n297616\n\njulia> estimate_memory(problem, GraphPolynomial(; method=:polynomial))\n71427840","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The finite field approach only requires 298 KB memory, while using the Polynomial number type requires 71 MB memory.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"note: Note\nThe actual run time memory can be several times larger than the size of the maximum tensor, so the estimate_memory is more accurate in estimating the peak memory.\nFor mutable element types like ConfigEnumerator, none of memory estimation functions measure the actual memory usage correctly.","category":"page"},{"location":"performancetips/#Slicing-technique","page":"Performance Tips","title":"Slicing technique","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"For large scale applications, it is also possible to slice over certain degrees of freedom to reduce the space complexity, i.e. loop and accumulate over certain degrees of freedom so that one can have a smaller tensor network inside the loop due to the removal of these degrees of freedom. In the TreeSA optimizer, one can set nslices to a value larger than zero to turn on this feature.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using GenericTensorNetworks, Graphs, Random\n\njulia> graph = random_regular_graph(120, 3)\n{120, 180} undirected simple Int64 graph\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(βs=0.01:0.1:25.0, ntrials=10, niters=10));\n\njulia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^20.53277253647484\nSpace complexity (number of elements in the largest intermediate tensor) = 2^16.0\nRead-write complexity (number of element-wise read and write) = 2^19.34699193791874\n\njulia> problem = IndependentSet(graph; optimizer=TreeSA(βs=0.01:0.1:25.0, ntrials=10, niters=10, nslices=5));\n\njulia> contraction_complexity(problem)\nTime complexity (number of element-wise multiplications) = 2^21.117277836449578\nSpace complexity (number of elements in the largest intermediate tensor) = 2^11.0\nRead-write complexity (number of element-wise read and write) = 2^19.854965754099602","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"In the second IndependentSet constructor, we slice over 5 degrees of freedom, which can reduce the space complexity by at most 5. In this application, the slicing achieves the largest possible space complexity reduction 5, while the time and read-write complexity are only increased by less than 1, i.e. the peak memory usage is reduced by a factor 32, while the (theoretical) computing time is increased by at a factor  2.","category":"page"},{"location":"performancetips/#GEMM-for-Tropical-numbers","page":"Performance Tips","title":"GEMM for Tropical numbers","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can speed up the Tropical number matrix multiplication when computing the solution space property SizeMax() by using the Tropical GEMM routines implemented in package TropicalGEMM.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using BenchmarkTools\n\njulia> @btime solve(problem, SizeMax())\n  91.630 ms (19203 allocations: 23.72 MiB)\n0-dimensional Array{TropicalF64, 0}:\n53.0ₜ\n\njulia> using TropicalGEMM\n\njulia> @btime solve(problem, SizeMax())\n  8.960 ms (18532 allocations: 17.01 MiB)\n0-dimensional Array{TropicalF64, 0}:\n53.0ₜ","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The TropicalGEMM package pirates the LinearAlgebra.mul! interface, hence it takes effect upon using. The above example shows more than 10x speed up on a single thread CPU, which can be even faster if the Julia multi-threading if turned on. The benchmark in the TropicalGEMM repo shows this performance is close to the theoretical optimal value.","category":"page"},{"location":"performancetips/#Multiprocessing","page":"Performance Tips","title":"Multiprocessing","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Submodule GenericTensorNetworks.SimpleMutiprocessing provides one function GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run function for simple multi-processing jobs. It is not directly related to GenericTensorNetworks, but is very convenient to have one. Suppose we want to find the independence polynomial for multiple graphs with 4 processes. We can create a file, e.g. named run.jl with the following content","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"using Distributed, GenericTensorNetworks.SimpleMultiprocessing\nusing Random, GenericTensorNetworks  # to avoid multi-precompilation\n@everywhere using Random, GenericTensorNetworks\n\nresults = multiprocess_run(collect(1:10)) do seed\n    Random.seed!(seed)\n    n = 10\n    @info \"Graph size $n x $n, seed= $seed\"\n    g = random_diagonal_coupled_graph(n, n, 0.8)\n    gp = Independence(g; optimizer=TreeSA(), simplifier=MergeGreedy())\n    res = solve(gp, GraphPolynomial())[]\n    return res\nend\n\nprintln(results)","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"One can run this script file with the following command","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"$ julia -p4 run.jl\n      From worker 3:\t[ Info: running argument 4 on device 3\n      From worker 4:\t[ Info: running argument 2 on device 4\n      From worker 5:\t[ Info: running argument 3 on device 5\n      From worker 2:\t[ Info: running argument 1 on device 2\n      From worker 3:\t[ Info: Graph size 10 x 10, seed= 4\n      From worker 4:\t[ Info: Graph size 10 x 10, seed= 2\n      From worker 5:\t[ Info: Graph size 10 x 10, seed= 3\n      From worker 2:\t[ Info: Graph size 10 x 10, seed= 1\n      From worker 4:\t[ Info: running argument 5 on device\n      ...","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"You will see a vector of polynomials printed out.","category":"page"},{"location":"performancetips/#Make-use-of-GPUs","page":"Performance Tips","title":"Make use of GPUs","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"To upload the computation to GPU, you just add using CUDA before calling the solve function, and set the keyword argument usecuda to true.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"julia> using CUDA\n[ Info: OMEinsum loaded the CUDA module successfully\n\njulia> solve(problem, SizeMax(), usecuda=true)\n0-dimensional CuArray{TropicalF64, 0, CUDA.Mem.DeviceBuffer}:\n53.0ₜ","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Solution space properties computable on GPU includes","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"SizeMax and SizeMin\nCountingAll\nCountingMax and CountingMin\nGraphPolynomial\nSingleConfigMax and SingleConfigMin","category":"page"},{"location":"performancetips/#Benchmarks","page":"Performance Tips","title":"Benchmarks","text":"","category":"section"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"We run a single thread benchmark on central processing units (CPU) Intel(R) Xeon(R) CPU E5-2686 v4 @ 2.30GHz, and its CUDA version on a GPU Tesla V100-SXM2 16G. The results are summarized in the following plot. The benchmark code can be found in our paper repository.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(Image: benchmark-independent-set) This benchmark results is for computing different solution space properties of independent sets of random three-regular graphs with different tensor element types. The time in these plots only includes tensor network contraction, without taking into account the contraction order finding and just-in-time compilation time. Legends are properties, algebra, and devices that we used in the computation; one can find the corresponding computed solution space property in Table 1 in the paper.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(a) time and space complexity versus the number of vertices for the benchmarked graphs.\n(b) The computation time for calculating the MIS size and for counting the number of all independent sets (ISs), the number of MISs, the number of independent sets having size alpha(G) and alpha(G)-1, and finding 100 largest set sizes.\n(c) The computation time for calculating the independence polynomials with different approaches.\n(d) The computation time for configuration enumeration, including single MIS configuration, the enumeration of all independent set configurations, all MIS configurations, all independent sets, and all independent set configurations having size alpha(G) and alpha(G)-1.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"The graphs in all benchmarks are random three-regular graphs, which have treewidth that is asymptotically smaller than V6. In this benchmark, we do not include traditional algorithms for finding the MIS sizes such as branching or dynamic programming. To the best of our knowledge, these algorithms are not suitable for computing most of the solution space properties mentioned in this paper. The main goal of this section is to show the relative computation time for calculating different solution space properties.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Panel (a) shows the time and space complexity of tensor network contraction for different graph sizes. The contraction order is obtained using the TreeSA algorithm that implemented in OMEinsumContractionOrders. If we assume our contraction-order finding program has found the optimal treewidth, which is very likely to be true, the space complexity is the same as the treewidth of the problem graph. Slicing technique has been used for graphs with space complexity greater than 2^27 (above the yellow dashed line) to fit the computation into a 16GB memory. One can see that all the computation times in panels (b), (c), and (d) have a strong correlation with the predicted time and space complexity. While in panel (d), the computation time of configuration enumeration also strongly correlates with other factors such as the configuration space size. Among these benchmarks, computational tasks with data types real numbers, complex numbers, or Tropical numbers (CPU only) can utilize fast basic linear algebra subprograms (BLAS) functions. These tasks usually compute much faster than ones with other element types in the same category. Immutable data types with no reference to other values can be compiled to GPU devices that run much faster than CPUs in all cases when the problem scale is big enough. These data types do not include those defined in Polynomial, ConfigEnumerator, ExtendedTropical and SumProductTree or a data type containing them as a part. In panel (c), one can see the Fourier transformation-based method is the fastest in computing the independence polynomial, but it may suffer from round-off errors. The finite field (GF(p)) approach is the only method that does not have round-off errors and can be run on a GPU. In panel (d), one can see the technique to bound the enumeration space (see paper) improves the performance for more than one order of magnitude in enumerating the MISs. The bounding technique can also reduce the memory usage significantly, without which the largest computable graph size is only sim150 on a device with 32GB main memory.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"We show the benchmark of computing the maximal independent set properties on 3-regular graphs in the following plot, including a comparison to the Bron-Kerbosch algorithm from Julia package Graphs","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(Image: benchmark-maximal-independent-set)","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"In this plot, benchmarks of computing different solution space properties of the maximal independent sets (ISs) problem on random three regular graphs at different sizes.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"(a) time and space complexity of tensor network contraction.\n(b) The wall clock time for counting and enumeration of maximal ISs.","category":"page"},{"location":"performancetips/","page":"Performance Tips","title":"Performance Tips","text":"Panel (a) shows the space and time complexities of tensor contraction, which are typically larger than those for the independent set problem. In panel (b), one can see counting maximal independent sets are much more efficient than enumerating them, while our generic tensor network approach runs slightly faster than the Bron-Kerbosch approach in enumerating all maximal independent sets.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"EditURL = \"../../../examples/MaximalIS.jl\"","category":"page"},{"location":"generated/MaximalIS/#Maximal-independent-set-problem","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/MaximalIS/#Problem-definition","page":"Maximal independent set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"In graph theory, a maximal independent set is an independent set that is not a subset of any other independent set. It is different from maximum independent set because it does not require the set to have the max size. In the following, we are going to solve the maximal independent set problem on the Petersen graph.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/MaximalIS/#Generic-tensor-network-representation","page":"Maximal independent set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"We can use MaximalIS to construct the tensor network for solving the maximal independent set problem as","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"problem = MaximalIS(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/MaximalIS/#Theory-(can-skip)","page":"Maximal independent set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Let G=(VE) be the target graph that we want to solve. The tensor network representation map a vertex vin V to a boolean degree of freedom s_vin0 1. We defined the restriction on its neighborhood N(v):","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"T(x_v)_s_1s_2ldotss_N(v)s_v = begincases\n    s_vx_v^w_v  s_1=s_2=ldots=s_N(v)=0\n    1-s_v textotherwise\nendcases","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"The first case corresponds to all the neighborhood vertices of v are not in I_m, then v must be in I_m and contribute a factor x_v^w_v, where w_v is the weight of vertex v. Otherwise, if any of the neighboring vertices of v is in I_m, v must not be in I_m by the independence requirement.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Its contraction time space complexity of a MaximalIS instance is no longer determined by the tree-width of the original graph G. It is often harder to contract this tensor network than to contract the one for regular independent set problem.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/MaximalIS/#Solving-properties","page":"Maximal independent set problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/MaximalIS/#Counting-properties","page":"Maximal independent set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/MaximalIS/#maximal-independence-polynomial","page":"Maximal independent set problem","title":"maximal independence polynomial","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"The graph polynomial defined for the maximal independent set problem is","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"I_rm max(G x) = sum_k=0^alpha(G) b_k x^k","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"where b_k is the number of maximal independent sets of size k in graph G=(V E).","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"maximal_indenpendence_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"One can see the first several coefficients are 0, because it only counts the maximal independent sets, The minimum maximal independent set size is also known as the independent domination number. It can be computed with the SizeMin property:","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"independent_domination_number = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"counting_min_maximal_independent_set = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/MaximalIS/#Configuration-properties","page":"Maximal independent set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/MaximalIS/#finding-all-maximal-independent-set","page":"Maximal independent set problem","title":"finding all maximal independent set","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"maximal_configs = solve(problem, ConfigsAll())[]\n\nall(c->is_maximal_independent_set(graph, c), maximal_configs)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"show_gallery(graph, (3, 5); locs=locations, vertex_configs=maximal_configs, format=:svg)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"This result should be consistent with that given by the Bron Kerbosch algorithm on the complement of Petersen graph.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"cliques = maximal_cliques(complement(graph))","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"For sparse graphs, the generic tensor network approach is usually much faster and memory efficient than the Bron Kerbosch algorithm.","category":"page"},{"location":"generated/MaximalIS/#finding-minimum-maximal-independent-set","page":"Maximal independent set problem","title":"finding minimum maximal independent set","text":"","category":"section"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"It is the ConfigsMin property in the program.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"minimum_maximal_configs = solve(problem, ConfigsMin())[].c\n\nshow_gallery(graph, (2, 5); locs=locations, vertex_configs=minimum_maximal_configs, format=:svg)","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"Similarly, if one is only interested in computing one of the minimum sets, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"","category":"page"},{"location":"generated/MaximalIS/","page":"Maximal independent set problem","title":"Maximal independent set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"EditURL = \"../../../examples/MaxCut.jl\"","category":"page"},{"location":"generated/MaxCut/#Cutting-problem","page":"Cutting problem","title":"Cutting problem","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/MaxCut/#Problem-definition","page":"Cutting problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"In graph theory, a cut is a partition of the vertices of a graph into two disjoint subsets. It is closely related to the Spin-glass problem in physics. Finding the maximum cut is NP-Hard, where a maximum cut is a cut whose size is at least the size of any other cut, where the size of a cut is the number of edges (or the sum of weights on edges) crossing the cut.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"In the following, we are going to defined an cutting problem for the Petersen graph.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"graph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/MaxCut/#Generic-tensor-network-representation","page":"Cutting problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We define the cutting problem as","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"problem = MaxCut(graph);\nnothing #hide","category":"page"},{"location":"generated/MaxCut/#Theory-(can-skip)","page":"Cutting problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"We associated a vertex vin V with a boolean degree of freedom s_vin0 1. Then the maximum cutting problem can be encoded to tensor networks by mapping an edge (ij)in E to an edge matrix labelled by s_i and s_j","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"B(x_i x_j w_ij) = left(beginmatrix\n    1  x_i^w_ij\n    x_j^w_ij  1\nendmatrixright)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where w_ij is a real number associated with edge (i j) as the edge weight. If and only if the bipartition cuts on edge (i j), this tensor contributes a factor x_i^w_ij or x_j^w_ij. Similarly, one can assign weights to vertices, which corresponds to the onsite energy terms in the spin glass. The vertex tensor is","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"W(x_i w_i) = left(beginmatrix\n    1\n    x_i^w_i\nendmatrixright)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where w_i is a real number associated with vertex i as the vertex weight.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"Its contraction time space complexity is 2^rm tw(G), where rm tw(G) is the tree-width of G.","category":"page"},{"location":"generated/MaxCut/#Solving-properties","page":"Cutting problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/MaxCut/#Maximum-cut-size-\\gamma(G)","page":"Cutting problem","title":"Maximum cut size gamma(G)","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_cut_size = solve(problem, SizeMax())[]","category":"page"},{"location":"generated/MaxCut/#Counting-properties","page":"Cutting problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/MaxCut/#graph-polynomial","page":"Cutting problem","title":"graph polynomial","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"The graph polynomial defined for the cutting problem is","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"C(G x) = sum_k=0^gamma(G) c_k x^k","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where gamma(G) is the maximum cut size, c_k2 is the number of cuts of size k in graph G=(VE). Since the variable x is defined on edges, the coefficients of the polynomial is the number of configurations having different number of anti-parallel edges.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_config = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/MaxCut/#Configuration-properties","page":"Cutting problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/MaxCut/#finding-one-max-cut-solution","page":"Cutting problem","title":"finding one max cut solution","text":"","category":"section"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"max_vertex_config = solve(problem, SingleConfigMax())[].c.data\n\nmax_cut_size_verify = cut_size(graph, max_vertex_config)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"You should see a consistent result as above max_cut_size.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"show_graph(graph; locs=locations, vertex_colors=[\n        iszero(max_vertex_config[i]) ? \"white\" : \"red\" for i=1:nv(graph)], format=:svg)","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"where red vertices and white vertices are separated by the cut.","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"","category":"page"},{"location":"generated/MaxCut/","page":"Cutting problem","title":"Cutting problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"EditURL = \"../../../examples/saveload.jl\"","category":"page"},{"location":"generated/saveload/#Save-and-load-solutions","page":"Save and load solutions","title":"Save and load solutions","text":"","category":"section"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"Let us use the maximum independent set problem on Petersen graph as an example. The following code enumerates all independent sets.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"using GenericTensorNetworks, Graphs\n\nproblem = IndependentSet(Graphs.smallgraph(:petersen))\n\nall_independent_sets = solve(problem, ConfigsAll())[]","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"The return value has type ConfigEnumerator. We can use save_configs and load_configs to save and read a ConfigEnumerator instance to the disk.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"filename = tempname()\n\nsave_configs(filename, all_independent_sets; format=:binary)\n\nloaded_sets = load_configs(filename; format=:binary, bitlength=10)","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"note: Note\nWhen loading the data in the binary format, bit string length information bitlength is required.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"For the SumProductTree type output, we can use save_sumproduct and load_sumproduct to save and load serialized data.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"all_independent_sets_tree = solve(problem, ConfigsAll(; tree_storage=true))[]\n\nsave_sumproduct(filename, all_independent_sets_tree)\n\nloaded_sets_tree = load_sumproduct(filename)","category":"page"},{"location":"generated/saveload/#Loading-solutions-to-python","page":"Save and load solutions","title":"Loading solutions to python","text":"","category":"section"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"The following python script loads and unpacks the solutions as a numpy array from a :binary format file.","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"import numpy as np\n\ndef loadfile(filename:str, bitlength:int):\n    C = int(np.ceil(bitlength / 64))\n    arr = np.fromfile(filename, dtype=\"uint8\")\n    # Some axes should be transformed from big endian to little endian\n    res = np.unpackbits(arr).reshape(-1, C, 8, 8)[:,::-1,::-1,:]\n    res = res.reshape(-1, C*64)[:, :(64*C-bitlength)-1:-1]\n    print(\"number of solutions = %d\"%(len(res)))\n    return res  # in big endian format\n\nres = loadfile(filename, 10)","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"note: Note\nCheck section Maximal independent set problem for solution space properties related the maximal independent sets. That example also contains using cases of finding solution space properties related to minimum sizes:SizeMin for finding minimum several set sizes,\nCountingMin for counting minimum several set sizes,\nSingleConfigMin for finding one solution with minimum several sizes,\nConfigsMin for enumerating solutions with minimum several sizes,","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"","category":"page"},{"location":"generated/saveload/","page":"Save and load solutions","title":"Save and load solutions","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"EditURL = \"../../../examples/SetCovering.jl\"","category":"page"},{"location":"generated/SetCovering/#Set-covering-problem","page":"Set covering problem","title":"Set covering problem","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/SetCovering/#Problem-definition","page":"Set covering problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The set covering problem is a significant NP-hard problem in combinatorial optimization. Given a collection of elements, the set covering problem aims to find the minimum number of sets that incorporate (cover) all of these elements. In the following, we will find the solution space properties for the camera location and stadium area example in the Cornell University Computational Optimization Open Textbook.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"using GenericTensorNetworks, Graphs","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The covering stadium areas of cameras are represented as the following sets.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"sets = [[1,3,4,6,7], [4,7,8,12], [2,5,9,11,13],\n    [1,2,14,15], [3,6,10,12,14], [8,14,15],\n    [1,2,6,11], [1,2,4,6,8,12]]","category":"page"},{"location":"generated/SetCovering/#Generic-tensor-network-representation","page":"Set covering problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"We create a [SetCovering] instance that contains a generic tensor network as its code field.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"problem = SetCovering(sets);\nnothing #hide","category":"page"},{"location":"generated/SetCovering/#Theory-(can-skip)","page":"Set covering problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Let S be the target set covering problem that we want to solve. For each set s in S, we associate it with a weight w_s to it. The tensor network representation map a set sin S to a boolean degree of freedom v_sin0 1. For each set s, we defined a parameterized rank-one tensor indexed by v_s as","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"W(x_s^w_s) = left(beginmatrix\n    1 \n    x_s^w_s\n    endmatrixright)","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"where x_s is a variable associated with s. For each unique element a, we defined the constraint over all sets containing it N(a) = s  s in S land ain s:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"B_s_1s_2ldotss_N(a) = begincases\n    0  s_1=s_2=ldots=s_N(a)=0\n    1  textotherwise\nendcases","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"This tensor means if none of the sets containing element a are included, then this configuration is forbidden, One can check the contraction time space complexity of a SetCovering instance by typing:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/SetCovering/#Solving-properties","page":"Set covering problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/SetCovering/#Counting-properties","page":"Set covering problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/SetCovering/#The-\"graph\"-polynomial","page":"Set covering problem","title":"The \"graph\" polynomial","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The graph polynomial for the set covering problem is defined as","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"P(S x) = sum_k=0^S c_k x^k","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"where c_k is the number of configurations having k sets.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"covering_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"The minimum number of sets that covering the set of elements can be computed with the SizeMin property:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"min_cover_size = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"counting_minimum_setcovering = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/SetCovering/#Configuration-properties","page":"Set covering problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/SetCovering/#Finding-minimum-set-covering","page":"Set covering problem","title":"Finding minimum set covering","text":"","category":"section"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"One can enumerate all minimum set covering with the ConfigsMin property in the program.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"min_configs = solve(problem, ConfigsMin())[].c","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Hence the two optimal solutions are z_1 z_3 z_5 z_6 and z_2 z_3 z_4 z_5. The correctness of this result can be checked with the is_set_covering function.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"all(c->is_set_covering(sets, c), min_configs)","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"Similarly, if one is only interested in computing one of the minimum set coverings, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"","category":"page"},{"location":"generated/SetCovering/","page":"Set covering problem","title":"Set covering problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"gist/#Gist-of-implementation","page":"Gist","title":"Gist of implementation","text":"","category":"section"},{"location":"gist/","page":"Gist","title":"Gist","text":"The code we will show below is a gist of how this package is implemented for pedagogical purpose, which covers many functionalities of the main repo without caring much about performance. This project depends on multiple open source packages in the Julia ecosystem:","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"OMEinsum and OMEinsumContractionOrders are packages providing the support for Einstein's (or tensor network) notation and state-of-the-art algorithms for contraction order optimization, which includes multiple state of the art algorithms.\nTropicalNumbers and TropicalGEMM are packages providing tropical number and efficient tropical matrix multiplication.\nGraphs is a foundational package for graph manipulation in the Julia community.\nPolynomials is a package providing polynomial algebra and polynomial fitting.\nMods and the Primes package providing finite field algebra and prime number manipulation.","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"They can be installed in a similar way to GenericTensorNetworks. After installing the required packages, one can open a Julia REPL, and copy-paste the following code snippet into it.","category":"page"},{"location":"gist/","page":"Gist","title":"Gist","text":"using OMEinsum\nusing Graphs\nusing Random\n\n# generate a random regular graph of size 50, degree 3\ngraph = (Random.seed!(2); Graphs.random_regular_graph(50, 3))\n\n# generate einsum code, i.e. the labels of tensors\ncode = EinCode(([minmax(e.src,e.dst) for e in Graphs.edges(graph)]..., # labels for edge tensors\n                [(i,) for i in Graphs.vertices(graph)]...), ())        # labels for vertex tensors\n\n# an einsum contraction without a contraction order specified is called `EinCode`,\n# an einsum contraction having a contraction order (specified as a tree structure) is called `NestedEinsum`.\n# assign each label a dimension-2, it will be used in the contraction order optimization\n# `uniquelabels` function extracts the tensor labels into a vector.\nsize_dict = Dict([s=>2 for s in uniquelabels(code)])\n# optimize the contraction order using the `TreeSA` method; the target space complexity is 2^17\noptimized_code = optimize_code(code, size_dict, TreeSA())\nprintln(\"time/space complexity is $(OMEinsum.timespace_complexity(optimized_code, size_dict))\")\n\n# a function for computing the independence polynomial\nfunction independence_polynomial(x::T, code) where {T}\n\txs = map(getixsv(code)) do ix\n        # if the tensor rank is 1, create a vertex tensor.\n        # otherwise the tensor rank must be 2, create a bond tensor.\n        length(ix)==1 ? [one(T), x] : [one(T) one(T); one(T) zero(T)]\n    end\n    # both `EinCode` and `NestedEinsum` are callable, inputs are tensors.\n\tcode(xs...)\nend\n\n########## COMPUTING THE MAXIMUM INDEPENDENT SET SIZE AND ITS COUNTING/DEGENERACY ###########\n\n# using Tropical numbers to compute the MIS size and the MIS degeneracy.\nusing TropicalNumbers\nmis_size(code) = independence_polynomial(TropicalF64(1.0), code)[]\nprintln(\"the maximum independent set size is $(mis_size(optimized_code).n)\")\n\n# A `CountingTropical` object has two fields, tropical field `n` and counting field `c`.\nmis_count(code) = independence_polynomial(CountingTropical{Float64,Float64}(1.0, 1.0), code)[]\nprintln(\"the degeneracy of maximum independent sets is $(mis_count(optimized_code).c)\")\n\n########## COMPUTING THE INDEPENDENCE POLYNOMIAL ###########\n\n# using Polynomial numbers to compute the polynomial directly\nusing Polynomials\nprintln(\"the independence polynomial is $(independence_polynomial(Polynomial([0.0, 1.0]), optimized_code)[])\")\n\n########## FINDING MIS CONFIGURATIONS ###########\n\n# define the set algebra\nstruct ConfigEnumerator{N}\n    # NOTE: BitVector is dynamic and it can be very slow; check our repo for the static version\n    data::Vector{BitVector}\nend\nfunction Base.:+(x::ConfigEnumerator{N}, y::ConfigEnumerator{N}) where {N}\n    res = ConfigEnumerator{N}(vcat(x.data, y.data))\n    return res\nend\nfunction Base.:*(x::ConfigEnumerator{L}, y::ConfigEnumerator{L}) where {L}\n    M, N = length(x.data), length(y.data)\n    z = Vector{BitVector}(undef, M*N)\n    for j=1:N, i=1:M\n        z[(j-1)*M+i] = x.data[i] .| y.data[j]\n    end\n    return ConfigEnumerator{L}(z)\nend\nBase.zero(::Type{ConfigEnumerator{N}}) where {N} = ConfigEnumerator{N}(BitVector[])\nBase.one(::Type{ConfigEnumerator{N}}) where {N} = ConfigEnumerator{N}([falses(N)])\n\n# the algebra sampling one of the configurations\nstruct ConfigSampler{N}\n    data::BitVector\nend\n\nfunction Base.:+(x::ConfigSampler{N}, y::ConfigSampler{N}) where {N}  # biased sampling: return `x`\n    return x  # randomly pick one\nend\nfunction Base.:*(x::ConfigSampler{L}, y::ConfigSampler{L}) where {L}\n    ConfigSampler{L}(x.data .| y.data)\nend\n\nBase.zero(::Type{ConfigSampler{N}}) where {N} = ConfigSampler{N}(trues(N))\nBase.one(::Type{ConfigSampler{N}}) where {N} = ConfigSampler{N}(falses(N))\n\n# enumerate all configurations if `all` is true; compute one otherwise.\n# a configuration is stored in the data type of `StaticBitVector`; it uses integers to represent bit strings.\n# `ConfigTropical` is defined in `TropicalNumbers`. It has two fields: tropical number `n` and optimal configuration `config`.\n# `CountingTropical{T,<:ConfigEnumerator}` stores configurations instead of simple counting.\nfunction mis_config(code; all=false)\n    # map a vertex label to an integer\n    vertex_index = Dict([s=>i for (i, s) in enumerate(uniquelabels(code))])\n    N = length(vertex_index)  # number of vertices\n    xs = map(getixsv(code)) do ix\n        T = all ? CountingTropical{Float64, ConfigEnumerator{N}} : CountingTropical{Float64, ConfigSampler{N}}\n        if length(ix) == 2\n            return [one(T) one(T); one(T) zero(T)]\n        else\n            s = falses(N)\n            s[vertex_index[ix[1]]] = true  # one hot vector\n            if all\n                [one(T), T(1.0, ConfigEnumerator{N}([s]))]\n            else\n                [one(T), T(1.0, ConfigSampler{N}(s))]\n            end\n        end\n    end\n\treturn code(xs...)\nend\n\nprintln(\"one of the optimal configurations is $(mis_config(optimized_code; all=false)[].c.data)\")\n\n# direct enumeration of configurations can be very slow; please check the bounding version in our Github repo.\nprintln(\"all optimal configurations are $(mis_config(optimized_code; all=true)[].c)\")","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"EditURL = \"../../../examples/DominatingSet.jl\"","category":"page"},{"location":"generated/DominatingSet/#Dominating-set-problem","page":"Dominating set problem","title":"Dominating set problem","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"note: Note\nIt is highly recommended to read the Independent set problem chapter before reading this one.","category":"page"},{"location":"generated/DominatingSet/#Problem-definition","page":"Dominating set problem","title":"Problem definition","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"In graph theory, a dominating set for a graph G = (V E) is a subset D of V such that every vertex not in D is adjacent to at least one member of D. The domination number gamma(G) is the number of vertices in a smallest dominating set for G. The decision version of finding the minimum dominating set is an NP-complete. In the following, we are going to solve the dominating set problem on the Petersen graph.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"We can visualize this graph using the following function","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg)","category":"page"},{"location":"generated/DominatingSet/#Generic-tensor-network-representation","page":"Dominating set problem","title":"Generic tensor network representation","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"We can use DominatingSet to construct the tensor network for solving the dominating set problem as","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"problem = DominatingSet(graph; optimizer=TreeSA());\nnothing #hide","category":"page"},{"location":"generated/DominatingSet/#Theory-(can-skip)","page":"Dominating set problem","title":"Theory (can skip)","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Let G=(VE) be the target graph that we want to solve. The tensor network representation map a vertex vin V to a boolean degree of freedom s_vin0 1. We defined the restriction on a vertex and its neighboring vertices N(v):","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"T(x_v)_s_1s_2ldotss_N(v)s_v = begincases\n    0  s_1=s_2=ldots=s_N(v)=s_v=0\n    1  s_v=0\n    x_v^w_v  textotherwise\nendcases","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"where w_v is the weight of vertex v. This tensor means if both v and its neighboring vertices are not in D, i.e., s_1=s_2=ldots=s_N(v)=s_v=0, this configuration is forbidden because v is not adjacent to any member in the set. otherwise, if v is in D, it has a contribution x_v^w_v to the final result. One can check the contraction time space complexity of a DominatingSet instance by typing:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"contraction_complexity(problem)","category":"page"},{"location":"generated/DominatingSet/#Solving-properties","page":"Dominating set problem","title":"Solving properties","text":"","category":"section"},{"location":"generated/DominatingSet/#Counting-properties","page":"Dominating set problem","title":"Counting properties","text":"","category":"section"},{"location":"generated/DominatingSet/#Domination-polynomial","page":"Dominating set problem","title":"Domination polynomial","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"The graph polynomial for the dominating set problem is known as the domination polynomial (see arXiv:0905.2251). It is defined as","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"D(G x) = sum_k=0^gamma(G) d_k x^k","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"where d_k is the number of dominating sets of size k in graph G=(V E).","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"domination_polynomial = solve(problem, GraphPolynomial())[]","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"The domination number gamma(G) can be computed with the SizeMin property:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"domination_number = solve(problem, SizeMin())[]","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Similarly, we have its counting CountingMin:","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"counting_min_dominating_set = solve(problem, CountingMin())[]","category":"page"},{"location":"generated/DominatingSet/#Configuration-properties","page":"Dominating set problem","title":"Configuration properties","text":"","category":"section"},{"location":"generated/DominatingSet/#finding-minimum-dominating-set","page":"Dominating set problem","title":"finding minimum dominating set","text":"","category":"section"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"One can enumerate all minimum dominating sets with the ConfigsMin property in the program.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"min_configs = solve(problem, ConfigsMin())[].c\n\nall(c->is_dominating_set(graph, c), min_configs)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"show_gallery(graph, (2, 5); locs=locations, vertex_configs=min_configs, format=:svg)","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"Similarly, if one is only interested in computing one of the minimum dominating sets, one can use the graph property SingleConfigMin.","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"","category":"page"},{"location":"generated/DominatingSet/","page":"Dominating set problem","title":"Dominating set problem","text":"This page was generated using Literate.jl.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"EditURL = \"../../../examples/weighted.jl\"","category":"page"},{"location":"generated/weighted/#Weighted-problems","page":"Weighted problems","title":"Weighted problems","text":"","category":"section"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us use the maximum independent set problem on Petersen graph as an example.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"using GenericTensorNetworks, Graphs\n\ngraph = Graphs.smallgraph(:petersen)","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The following code constructs a weighted MIS problem instance.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"problem = IndependentSet(graph; weights=collect(1:10));\nnothing #hide","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Here, the weights keyword argument can be a vector for weighted graphs or NoWeight() for unweighted graphs. Most solution space properties work for unweighted graphs also work for the weighted graphs. For example, the maximum independent set can be found as follows.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max_config_weighted = solve(problem, SingleConfigMax())[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us visualize the solution.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"rot15(a, b, i::Int) = cos(2i*π/5)*a + sin(2i*π/5)*b, cos(2i*π/5)*b - sin(2i*π/5)*a\n\nlocations = [[rot15(0.0, 2.0, i) for i=0:4]..., [rot15(0.0, 1.0, i) for i=0:4]...]\n\nshow_graph(graph; locs=locations, format=:svg, vertex_colors=\n          [iszero(max_config_weighted.c.data[i]) ? \"white\" : \"red\" for i=1:nv(graph)])","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The only solution space property that can not be defined for general real-weighted (not including integer-weighted) graphs is the GraphPolynomial.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"For the weighted MIS problem, a useful solution space property is the \"energy spectrum\", i.e. the largest several configurations and their weights. We can use the solution space property is SizeMax(10) to compute the largest 10 weights.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"spectrum = solve(problem, SizeMax(10))[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The return value has type ExtendedTropical, which contains one field orders.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"spectrum.orders","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"We can see the order is a vector of Tropical numbers. Similarly, we can get weighted independent sets with maximum 5 sizes as follows.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max5_configs = solve(problem, SingleConfigMax(5))[]","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"The return value also has type ExtendedTropical, but this time the element type of orders has been changed to CountingTropical{Float64,ConfigSampler}.","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"max5_configs.orders","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"Let us visually check these configurations","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"show_gallery(graph, (1, 5); locs=locations, format=:svg, vertex_configs=[max5_configs.orders[k].c.data for k=1:5])","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"","category":"page"},{"location":"generated/weighted/","page":"Weighted problems","title":"Weighted problems","text":"This page was generated using Literate.jl.","category":"page"},{"location":"ref/#References","page":"References","title":"References","text":"","category":"section"},{"location":"ref/#Graph-problems","page":"References","title":"Graph problems","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"solve\nGraphProblem\nIndependentSet\nMaximalIS\nMatching\nColoring\nDominatingSet\nSpinGlass\nHyperSpinGlass\nMaxCut\nPaintShop\nSatisfiability\nSetCovering\nSetPacking\nOpenPitMining","category":"page"},{"location":"ref/#GenericTensorNetworks.solve","page":"References","title":"GenericTensorNetworks.solve","text":"solve(problem, property; usecuda=false, T=Float64)\n\nSolving a certain property of a graph problem.\n\nPositional Arguments\n\nproblem is the graph problem with tensor network information,\nproperty is string specifying the task. Using the maximum independent set problem as an example, it can be one of\nPartitionFunction() for computing the partition function,\nSizeMax(k=Single) for finding maximum-k set sizes,\nSizeMin(k=Single) for finding minimum-k set sizes,\nCountingMax(k=Single) for counting configurations with maximum-k sizes,\nCountingMin(k=Single) for counting configurations with minimum-k sizes,\nCountingAll() for counting all configurations,\nPartitionFunction() for counting all configurations,\nGraphPolynomial(; method=:finitefield, kwargs...) for evaluating the graph polynomial,\nSingleConfigMax(k=Single; bounded=false) for finding one maximum-k configuration for each size,\nSingleConfigMin(k=Single; bounded=false) for finding one minimum-k configuration for each size,\nConfigsMax(k=Single; bounded=true, tree_storage=false) for enumerating configurations with maximum-k sizes,\nConfigsMin(k=Single; bounded=true, tree_storage=false) for enumerating configurations with minimum-k sizes,\nConfigsAll(; tree_storage=false) for enumerating all configurations,\n\nKeyword arguments\n\nusecuda is a switch to use CUDA (if possible), user need to call statement using CUDA before turning on this switch.\nT is the \"base\" element type, sometimes can be used to reduce the memory cost.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.GraphProblem","page":"References","title":"GenericTensorNetworks.GraphProblem","text":"GraphProblem\n\nThe abstract base type of graph problems.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.IndependentSet","page":"References","title":"GenericTensorNetworks.IndependentSet","text":"IndependentSet{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nIndependentSet(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe independent set problem in graph theory.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> using GenericTensorNetworks, Graphs\n\njulia> problem = IndependentSet(smallgraph(:petersen));\n\njulia> solve(problem, ConfigsMax())\n0-dimensional Array{CountingTropical{Float64, ConfigEnumerator{10, 1, 1}}, 0}:\n(4.0, {0101010001, 1010000011, 0100100110, 0010111000, 1001001100})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.MaximalIS","page":"References","title":"GenericTensorNetworks.MaximalIS","text":"MaximalIS{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nMaximalIS(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe maximal independent set problem. In the constructor, weights are the weights of vertices.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Matching","page":"References","title":"GenericTensorNetworks.Matching","text":"Matching{CT<:AbstractEinsum, WT<:Union{NoWeight,Vector}} <: GraphProblem\nMatching(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe Vertex matching problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the edges of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on edges, where a value can be 0 (not matched) or 1 (mathced).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Coloring","page":"References","title":"GenericTensorNetworks.Coloring","text":"Coloring{K,CT<:AbstractEinsum, WT<:Union{NoWeight, Vector}} <: GraphProblem\nColoring{K}(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe Vertex Coloring problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the edges of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be in 0K-1 (different colors).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.DominatingSet","page":"References","title":"GenericTensorNetworks.DominatingSet","text":"DominatingSet{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nDominatingSet(graph; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe dominating set problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nweights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms on vertices, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SpinGlass","page":"References","title":"GenericTensorNetworks.SpinGlass","text":"SpinGlass{TT<:MaxCut,WT1<:Union{NoWeight, Vector},WT2<:Union{ZeroWeight, Vector}} <: ReducedProblem\nSpinGlass(graph; J=NoWeight(), h=ZeroWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\nSpinGlass(M::AbstractMatrix, h::AbstractVector; kwargs...)\n\nThe spin glass problem (or cutting problem). In the output, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nM is a symmetric matrix of the coupling strengths.\nJ is a vector of coupling strengths associated with the edges of the graph.\nh is a vector of onsite energy terms associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.HyperSpinGlass","page":"References","title":"GenericTensorNetworks.HyperSpinGlass","text":"struct HyperSpinGlass{CT<:OMEinsum.AbstractEinsum, WT<:Union{NoWeight, Vector}} <: GraphProblem\n\nThe hyper-spin-glass problem is a generalization of the spin-glass problem to hypergraphs.\n\nPositional arguments\n\nn is the number of spins.\ncliques is a vector of cliques, each being a vector of vertices (integers).\n\nKeyword arguments\n\nweights are associated with the cliques.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.MaxCut","page":"References","title":"GenericTensorNetworks.MaxCut","text":"MaxCut{CT<:AbstractEinsum,WT1<:Union{NoWeight, Vector},WT2<:Union{ZeroWeight, Vector}} <: GraphProblem\nMaxCut(graph; edge_weights=NoWeight(), vertex_weights=ZeroWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe cutting problem.\n\nPositional arguments\n\ngraph is the problem graph.\n\nKeyword arguments\n\nedge_weights are associated with the edges of the graph.\nvertex_weights are associated with the vertices of the graph.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (in one side of the cut) or 1 (in the other side of the cut).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.PaintShop","page":"References","title":"GenericTensorNetworks.PaintShop","text":"PaintShop{CT<:AbstractEinsum} <: GraphProblem\nPaintShop(sequence::AbstractVector; openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe binary paint shop problem.\n\nPositional arguments\n\nKeyword arguments\n\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (the first appearence in blue) or 1 (the first appearence in red).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\nOne can encode the paint shop problem abaccb as the following\n\njulia> syms = collect(\"abaccb\");\n\njulia> pb = PaintShop(syms);\n\njulia> solve(pb, SizeMin())[]\n2.0ₜ\n\njulia> solve(pb, ConfigsMin())[].c.data\n2-element Vector{StaticBitVector{3, 1}}:\n 100\n 011\n\nIn our definition, we find the maximum number of unchanged color in this sequence, i.e. (n-1) - (minimum number of color changes) In the output of maximum configurations, the two configurations are defined on 5 bonds i.e. pairs of (i, i+1), 0 means color changed, while 1 means color not changed. If we denote two \"colors\" as r and b, then the optimal painting is rbbbrr or brrrbb, both change the colors twice.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Satisfiability","page":"References","title":"GenericTensorNetworks.Satisfiability","text":"Satisfiability{CT<:AbstractEinsum,T,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSatisfiability(cnf::CNF; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe satisfiability problem.\n\nPositional arguments\n\ncnf is a conjunctive normal form (CNF) for specifying the satisfiability problems.\n\nKeyword arguments\n\nweights are associated with clauses.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of boolean variables, where a value can be 0 or 1.\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> @bools x y z a b c\n\njulia> c1 = x ∨ ¬y\nx ∨ ¬y\n\njulia> c2 = c ∨ (¬a ∨ b)\nc ∨ ¬a ∨ b\n\njulia> c3 = (z ∨ ¬a) ∨ y\nz ∨ ¬a ∨ y\n\njulia> c4 = (c ∨ z) ∨ ¬b\nc ∨ z ∨ ¬b\n\njulia> cnf = (c1 ∧ c4) ∧ (c2 ∧ c3)\n(x ∨ ¬y) ∧ (c ∨ z ∨ ¬b) ∧ (c ∨ ¬a ∨ b) ∧ (z ∨ ¬a ∨ y)\n\njulia> gp = Satisfiability(cnf);\n\njulia> solve(gp, SizeMax())[]\n4.0ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SetCovering","page":"References","title":"GenericTensorNetworks.SetCovering","text":"SetCovering{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSetCovering(sets; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe set covering problem.\n\nPositional arguments\n\nsets is a vector of vectors, each set is associated with a weight specified in weights.\n\nKeyword arguments\n\nweights are associated with sets.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> sets = [[1, 2, 5], [1, 3], [2, 4], [3, 6], [2, 3, 6]];  # each set is a vertex\n\njulia> gp = SetCovering(sets);\n\njulia> res = solve(gp, ConfigsMin())[]\n(3.0, {10110, 10101})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SetPacking","page":"References","title":"GenericTensorNetworks.SetPacking","text":"SetPacking{CT<:AbstractEinsum,WT<:Union{NoWeight, Vector}} <: GraphProblem\nSetPacking(sets; weights=NoWeight(), openvertices=(),\n        optimizer=GreedyMethod(), simplifier=nothing,\n        fixedvertices=Dict()\n    )\n\nThe set packing problem, a generalization of independent set problem to hypergraphs.\n\nPositional arguments\n\nsets is a vector of vectors, each set is associated with a weight specified in weights.\n\nKeyword arguments\n\nweights are associated with sets.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of degree of freedoms, where a value can be 0 (absent in the set) or 1 (present in the set).\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExamples\n\njulia> sets = [[1, 2, 5], [1, 3], [2, 4], [3, 6], [2, 3, 6]];  # each set is a vertex\n\njulia> gp = SetPacking(sets);\n\njulia> res = solve(gp, ConfigsMax())[]\n(2.0, {00110, 10010, 01100})ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.OpenPitMining","page":"References","title":"GenericTensorNetworks.OpenPitMining","text":"OpenPitMining{ET, CT<:AbstractEinsum} <: GraphProblem\nOpenPitMining(rewards; openvertices=(),\n             optimizer=GreedyMethod(), simplifier=nothing,\n             fixedvertices=Dict())\n\nThe open pit mining problem. This problem can be solved in polynomial time with the pseudoflow algorithm.\n\nPositional arguments\n\nrewards is a matrix of rewards.\n\nKeyword arguments\n\nopenvertices specifies labels of the output tensor.\noptimizer and simplifier are for tensor network optimization, check optimize_code for details.\nfixedvertices is a dict to specify the values of labels, where a value can be 0 (not mined) or 1 (mined)\nopenvertices is a tuple of labels to specify the output tensor. Theses degree of freedoms will not be contracted.\n\nExample\n\njulia> rewards =  [-4  -7  -7  -17  -7  -26;\n         0  39  -7   -7  -4    0;\n         0   0   1    8   0    0;\n         0   0   0    0   0    0;\n         0   0   0    0   0    0;\n         0   0   0    0   0    0];\n\njulia> gp = OpenPitMining(rewards);\n\njulia> res = solve(gp, SingleConfigMax())[]\n(21.0, ConfigSampler{12, 1, 1}(111000100000))ₜ\n\njulia> is_valid_mining(rewards, res.c.data)\ntrue\n\njulia> print_mining(rewards, res.c.data)\n     -4      -7      -7     -17      -7     -26 \n      ◼      39      -7      -7      -4       ◼ \n      ◼       ◼       1       8       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼ \n      ◼       ◼       ◼       ◼       ◼       ◼\n\nYou will the the mining is printed as green in an colored REPL.\n\n\n\n\n\n","category":"type"},{"location":"ref/#Graph-Problem-Interfaces","page":"References","title":"Graph Problem Interfaces","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"To subtype GraphProblem, a new type must contain a code field to represent the (optimized) tensor network. Interfaces GenericTensorNetworks.generate_tensors, labels, flavors and get_weights are required. nflavor is optional.","category":"page"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks.generate_tensors\nlabels\nterms\nflavors\nget_weights\nchweights\nnflavor\nfixedvertices\n\nextract_result","category":"page"},{"location":"ref/#GenericTensorNetworks.generate_tensors","page":"References","title":"GenericTensorNetworks.generate_tensors","text":"generate_tensors(func, problem::GraphProblem)\n\nGenerate a vector of tensors as the inputs of the tensor network contraction code problem.code. func is a function to customize the tensors. func(symbol) returns a vector of elements, the length of which is same as the number of flavors.\n\nExample\n\nThe following code gives your the maximum independent set size\n\njulia> using Graphs, GenericTensorNetworks\n\njulia> gp = IndependentSet(smallgraph(:petersen));\n\njulia> getixsv(gp.code)\n25-element Vector{Vector{Int64}}:\n [1]\n [2]\n [3]\n [4]\n [5]\n [6]\n [7]\n [8]\n [9]\n [10]\n ⋮\n [3, 8]\n [4, 5]\n [4, 9]\n [5, 10]\n [6, 8]\n [6, 9]\n [7, 9]\n [7, 10]\n [8, 10]\n\njulia> gp.code(GenericTensorNetworks.generate_tensors(Tropical(1.0), gp)...)\n0-dimensional Array{Tropical{Float64}, 0}:\n4.0ₜ\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.labels","page":"References","title":"GenericTensorNetworks.labels","text":"labels(problem::GraphProblem) -> Vector\n\nThe labels of a graph problem is defined as the degrees of freedoms in the graph problem. e.g. for the maximum independent set problems, they are the indices of vertices: 1, 2, 3..., while for the max cut problem, they are the edges.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.terms","page":"References","title":"GenericTensorNetworks.terms","text":"terms(problem::GraphProblem) -> Vector\n\nThe terms of a graph problem is defined as the tensor labels that defining local energies (or weights) in the graph problem. e.g. for the maximum independent set problems, they are the vertex-tensor labels: [1], [2], [3]... The weight of a term is same as the exponents in the graph polynomial.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.flavors","page":"References","title":"GenericTensorNetworks.flavors","text":"flavors(::Type{<:GraphProblem}) -> Vector\n\nIt returns a vector of integers as the flavors of a degree of freedom. Its size is the same as the degree of freedom on a single vertex/edge.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.get_weights","page":"References","title":"GenericTensorNetworks.get_weights","text":"get_weights(problem::GraphProblem, i::Int) -> Vector\nget_weights(problem::GraphProblem) -> Vector\n\nThe weights for the problem or the weights for the degree of freedom specified by the i-th term if a second argument is provided. Weights are associated with terms in the graph problem. In graph polynomial, integer weights can be the exponents.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.chweights","page":"References","title":"GenericTensorNetworks.chweights","text":"chweights(problem::GraphProblem, weights) -> GraphProblem\n\nChange the weights for the problem and return a new problem instance. Weights are associated with terms in the graph problem. In graph polynomial, integer weights can be the exponents.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.nflavor","page":"References","title":"GenericTensorNetworks.nflavor","text":"nflavor(::Type{<:GraphProblem}) -> Int\n\nBond size is equal to the number of flavors.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.fixedvertices","page":"References","title":"GenericTensorNetworks.fixedvertices","text":"fixedvertices(problem::GraphProblem) -> Dict\n\nFix degree of freedoms in a graph problem to a certain value using a dict, where the key is a label, and the value should be in, e.g. [0, 1] in the indepenent set problem. When a degree of freedom is fixed, its size is 1. The optimal tensor network contraction order is then different from the default case.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.extract_result","page":"References","title":"GenericTensorNetworks.extract_result","text":"extract_result(p::ReducedProblem, output)\nextract_result(p::ReducedProblem)\n\nPost process the output of the target problem to get an output to the source problem. If the output is not provided, it will return a function instead. The result extraction rule is determined by the output type. e.g. If the output type is Tropical, it will be interpreted as the energy. If the output is a Vector, it will be interpreted as a configuration.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Graph-Problem-Utilities","page":"References","title":"Graph Problem Utilities","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"is_independent_set\nis_maximal_independent_set\nis_dominating_set\nis_vertex_coloring\nis_matching\nis_set_covering\nis_set_packing\n\ncut_size\nspinglass_energy\nhyperspinglass_energy\nnum_paint_shop_color_switch\npaint_shop_coloring_from_config\nmis_compactify!\n\nCNF\nCNFClause\nBoolVar\nsatisfiable\n@bools\n∨\n¬\n∧\n\nis_valid_mining\nprint_mining","category":"page"},{"location":"ref/#GenericTensorNetworks.is_independent_set","page":"References","title":"GenericTensorNetworks.is_independent_set","text":"is_independent_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is an independent set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_maximal_independent_set","page":"References","title":"GenericTensorNetworks.is_maximal_independent_set","text":"is_maximal_independent_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is a maximal independent set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_dominating_set","page":"References","title":"GenericTensorNetworks.is_dominating_set","text":"is_dominating_set(g::SimpleGraph, config)\n\nReturn true if config (a vector of boolean numbers as the mask of vertices) is a dominating set of graph g.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_vertex_coloring","page":"References","title":"GenericTensorNetworks.is_vertex_coloring","text":"is_vertex_coloring(graph::SimpleGraph, config)\n\nReturns true if the coloring specified by config is a valid one, i.e. does not violate the contraints of vertices of an edges having different colors.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_matching","page":"References","title":"GenericTensorNetworks.is_matching","text":"is_matching(graph::SimpleGraph, config)\n\nReturns true if config is a valid matching on graph, and false if a vertex is double matched. config is a vector of boolean variables, which has one to one correspondence with edges(graph).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_set_covering","page":"References","title":"GenericTensorNetworks.is_set_covering","text":"is_set_covering(sets::AbstractVector, config)\n\nReturn true if config (a vector of boolean numbers as the mask of sets) is a set covering of sets.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_set_packing","page":"References","title":"GenericTensorNetworks.is_set_packing","text":"is_set_packing(sets::AbstractVector, config)\n\nReturn true if config (a vector of boolean numbers as the mask of sets) is a set packing of sets.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.cut_size","page":"References","title":"GenericTensorNetworks.cut_size","text":"cut_size(g::SimpleGraph, config; edge_weights=NoWeight(), vertex_weights=ZeroWeight())\n\nCompute the cut size for the vertex configuration config (an iterator).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.spinglass_energy","page":"References","title":"GenericTensorNetworks.spinglass_energy","text":"spinglass_energy(g::SimpleGraph, config; J=NoWeight(), h=ZeroWeight())\n\nCompute the spin glass state energy for the vertex configuration config. In the configuration, the spin ↑ is mapped to configuration 0, while spin ↓ is mapped to configuration 1. Let G=(VE) be the input graph, the hamiltonian is\n\nH = - sum_ij in E J_ij s_i s_j + sum_i in V h_i s_i\n\nwhere s_i in -1 1 stands for spin ↓ and spin ↑.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.hyperspinglass_energy","page":"References","title":"GenericTensorNetworks.hyperspinglass_energy","text":"hyperspinglass_energy(cliques, config; weights) -> Real\n\n\nCompute the energy for spin configuration config (an iterator).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.num_paint_shop_color_switch","page":"References","title":"GenericTensorNetworks.num_paint_shop_color_switch","text":"num_paint_shop_color_switch(sequence::AbstractVector, coloring)\n\nReturns the number of color switches.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.paint_shop_coloring_from_config","page":"References","title":"GenericTensorNetworks.paint_shop_coloring_from_config","text":"paint_shop_coloring_from_config(p::PaintShop, config)\n\nReturns a valid painting from the paint shop configuration (given by the configuration solvers). The config is a sequence of 0 and 1, where 0 means painting the first appearence of a car in blue, 1 otherwise.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.mis_compactify!","page":"References","title":"GenericTensorNetworks.mis_compactify!","text":"mis_compactify!(tropicaltensor)\n\nCompactify tropical tensor for maximum independent set problem. It will eliminate some entries by setting them to zero, by the criteria that removing these entry does not change the MIS size of its parent graph (reference to be added).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.CNF","page":"References","title":"GenericTensorNetworks.CNF","text":"CNF{T}\nCNF(clauses)\n\nBoolean expression in conjunctive normal form. clauses is a vector of CNFClause, if and only if all clauses are satisfied, this CNF is satisfied.\n\nExample\n\njulia> @bools x y z\n\njulia> cnf = (x ∨ y) ∧ (¬y ∨ z)\n(x ∨ y) ∧ (¬y ∨ z)\n\njulia> satisfiable(cnf, Dict([:x=>true, :y=>false, :z=>true]))\ntrue\n\njulia> satisfiable(cnf, Dict([:x=>false, :y=>false, :z=>true]))\nfalse\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CNFClause","page":"References","title":"GenericTensorNetworks.CNFClause","text":"CNFClause{T}\nCNFClause(vars)\n\nA clause in CNF, its value is the logical or of vars, where vars is a vector of BoolVar.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.BoolVar","page":"References","title":"GenericTensorNetworks.BoolVar","text":"BoolVar{T}\nBoolVar(name, neg)\n\nBoolean variable for constructing CNF clauses.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.satisfiable","page":"References","title":"GenericTensorNetworks.satisfiable","text":"satisfiable(cnf::CNF, config::AbstractDict)\n\nReturns true if an assignment of variables satisfies a CNF.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.@bools","page":"References","title":"GenericTensorNetworks.@bools","text":"@bools(syms::Symbol...)\n\nCreate some boolean variables of type BoolVar in current scope that can be used in create a CNF.\n\nExample\n\njulia> @bools x y z\n\njulia> (x ∨ y) ∧ (¬y ∨ z)\n(x ∨ y) ∧ (¬y ∨ z)\n\n\n\n\n\n","category":"macro"},{"location":"ref/#GenericTensorNetworks.:∨","page":"References","title":"GenericTensorNetworks.:∨","text":"∨(vars...)\n\nLogical or applied on BoolVar and CNFClause. Returns a CNFClause.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.:¬","page":"References","title":"GenericTensorNetworks.:¬","text":"¬(var::BoolVar)\n\nNegation of a boolean variables of type BoolVar.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.:∧","page":"References","title":"GenericTensorNetworks.:∧","text":"∧(vars...)\n\nLogical and applied on CNFClause and CNF. Returns a new CNF.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.is_valid_mining","page":"References","title":"GenericTensorNetworks.is_valid_mining","text":"is_valid_mining(rewards::AbstractMatrix, config)\n\nReturn true if config (a boolean mask for the feasible region) is a valid mining of rewards.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.print_mining","page":"References","title":"GenericTensorNetworks.print_mining","text":"print_mining(rewards::AbstractMatrix, config)\n\nPrinting the mining solution in a colored REPL.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Properties","page":"References","title":"Properties","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"PartitionFunction\nSizeMax\nSizeMin\nCountingAll\nCountingMax\nCountingMin\nGraphPolynomial\nSingleConfigMax\nSingleConfigMin\nConfigsAll\nConfigsMax\nConfigsMin","category":"page"},{"location":"ref/#GenericTensorNetworks.PartitionFunction","page":"References","title":"GenericTensorNetworks.PartitionFunction","text":"struct PartitionFunction{T} <: GenericTensorNetworks.AbstractProperty\n\nbeta\n\nCompute the partition function for the target problem.\n\nThe corresponding tensor element type is T.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SizeMax","page":"References","title":"GenericTensorNetworks.SizeMax","text":"SizeMax{K} <: AbstractProperty\nSizeMax(k::Int)\n\nThe maximum-K set sizes. e.g. the largest size of the IndependentSet  problem is also know as the independence number.\n\nThe corresponding tensor element type are max-plus tropical number Tropical if K is Single and ExtendedTropical if K is an integer.\nIt is compatible with weighted graph problems.\nBLAS (on CPU) and GPU are supported only if K is Single,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SizeMin","page":"References","title":"GenericTensorNetworks.SizeMin","text":"SizeMin{K} <: AbstractProperty\nSizeMin(k::Int)\n\nThe minimum-K set sizes. e.g. the smallest size ofthe MaximalIS problem is also known as the independent domination number.\n\nThe corresponding tensor element type are inverted max-plus tropical number Tropical if K is Single and inverted ExtendedTropical K is an integer.\n\nThe inverted Tropical number emulates the min-plus tropical number.\n\nIt is compatible with weighted graph problems.\nBLAS (on CPU) and GPU are supported only if K is Single,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingAll","page":"References","title":"GenericTensorNetworks.CountingAll","text":"CountingAll <: AbstractProperty\nCountingAll()\n\nCounting the total number of sets. e.g. for the IndependentSet problem, it counts the independent sets.\n\nThe corresponding tensor element type is Base.Real.\nThe weights on graph does not have effect.\nBLAS (GPU and CPU) and GPU are supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingMax","page":"References","title":"GenericTensorNetworks.CountingMax","text":"CountingMax{K} <: AbstractProperty\nCountingMax(K=Single)\n\nCounting the number of sets with largest-K size. e.g. for IndependentSet problem, it counts independent sets of size alpha(G) alpha(G)-1 ldots alpha(G)-K+1.\n\nThe corresponding tensor element type is CountingTropical if K is Single, and TruncatedPoly{K} if K is an integer.\nWeighted graph problems is only supported if K is Single.\nGPU is supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.CountingMin","page":"References","title":"GenericTensorNetworks.CountingMin","text":"CountingMin{K} <: AbstractProperty\nCountingMin(K=Single)\n\nCounting the number of sets with smallest-K size.\n\nThe corresponding tensor element type is inverted CountingTropical if K is Single, and TruncatedPoly{K} if K is an integer.\nWeighted graph problems is only supported if K is Single.\nGPU is supported,\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.GraphPolynomial","page":"References","title":"GenericTensorNetworks.GraphPolynomial","text":"GraphPolynomial{METHOD} <: AbstractProperty\nGraphPolynomial(; method=:finitefield, kwargs...)\n\nCompute the graph polynomial, e.g. for IndependentSet problem, it is the independence polynomial. The METHOD type parameter can be one of the following symbols\n\nMethod Argument\n\n:finitefield, uses finite field algebra to fit the polynomial.\nThe corresponding tensor element type is Mods.Mod,\nIt does not have round-off error,\nGPU is supported,\nIt accepts keyword arguments maxorder (optional, e.g. the MIS size in the IndependentSet problem).\n:polynomial and :laurent, use (Laurent) polynomial numbers to solve the polynomial directly.\nThe corresponding tensor element types are Polynomial and LaurentPolynomial.\nIt might have small round-off error depending on the data type for storing the counting.\nIt has memory overhead that linear to the graph size.\n:fft, use fast fourier transformation to fit the polynomial.\nThe corresponding tensor element type is Base.Complex.\nIt has (controllable) round-off error.\nBLAS and GPU are supported.\nIt accepts keyword arguments maxorder (optional) and r,   if r > 1, one has better precision for coefficients of large order, if r < 1,   one has better precision for coefficients of small order.\n:fitting, fit the polynomial directly.\nThe corresponding tensor element type is floating point numbers like Base.Float64.\nIt has round-off error.\nBLAS and GPU are supported, it is the fastest among all methods.\n\nGraph polynomials are not defined for weighted graph problems.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SingleConfigMax","page":"References","title":"GenericTensorNetworks.SingleConfigMax","text":"SingleConfigMax{K, BOUNDED} <: AbstractProperty\nSingleConfigMax(k::Int; bounded=false)\n\nFinding single solution for largest-K sizes, e.g. for IndependentSet problem, it is one of the maximum independent sets.\n\nThe corresponding data type is CountingTropical{Float64,<:ConfigSampler} if BOUNDED is false, Tropical otherwise.\nWeighted graph problems is supported.\nGPU is supported,\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SingleConfigMin","page":"References","title":"GenericTensorNetworks.SingleConfigMin","text":"SingleConfigMin{K, BOUNDED} <: AbstractProperty\nSingleConfigMin(k::Int; bounded=false)\n\nFinding single solution with smallest-K size.\n\nThe corresponding data type is inverted CountingTropical{Float64,<:ConfigSampler} if BOUNDED is false, inverted Tropical otherwise.\nWeighted graph problems is supported.\nGPU is supported,\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsAll","page":"References","title":"GenericTensorNetworks.ConfigsAll","text":"ConfigsAll{TREESTORAGE} <:AbstractProperty\nConfigsAll(; tree_storage=false)\n\nFind all valid configurations, e.g. for IndependentSet problem, it is finding all independent sets.\n\nThe corresponding data type is ConfigEnumerator.\nWeights do not take effect.\n\nKeyword Arguments\n\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsMax","page":"References","title":"GenericTensorNetworks.ConfigsMax","text":"ConfigsMax{K, BOUNDED, TREESTORAGE} <:AbstractProperty\nConfigsMax(K=Single; bounded=true, tree_storage=true)\n\nFind configurations with largest-K sizes, e.g. for IndependentSet problem, it is finding all independent sets of sizes alpha(G) alpha(G)-1 ldots alpha(G)-K+1.\n\nThe corresponding data type is CountingTropical{Float64,<:ConfigEnumerator} if K is Single and TruncatedPoly{K,<:ConfigEnumerator} if K is an integer.\nWeighted graph problems is only supported if K is Single.\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigsMin","page":"References","title":"GenericTensorNetworks.ConfigsMin","text":"ConfigsMin{K, BOUNDED, TREESTORAGE} <:AbstractProperty\nConfigsMin(K=Single; bounded=true, tree_storage=false)\n\nFind configurations with smallest-K sizes.\n\nThe corresponding data type is inverted CountingTropical{Float64,<:ConfigEnumerator} if K is Single and inverted TruncatedPoly{K,<:ConfigEnumerator} if K is an integer.\nWeighted graph problems is only supported if K is Single.\n\nKeyword Arguments\n\nbounded, if it is true, use bounding trick (or boolean gradients) to reduce the working memory to store intermediate configurations.\ntree_storage, if it is true, it uses more memory efficient tree-structure to store the configurations.\n\n\n\n\n\n","category":"type"},{"location":"ref/#Element-Algebras","page":"References","title":"Element Algebras","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"is_commutative_semiring","category":"page"},{"location":"ref/#GenericTensorNetworks.is_commutative_semiring","page":"References","title":"GenericTensorNetworks.is_commutative_semiring","text":"is_commutative_semiring(a::T, b::T, c::T) where T\n\nCheck if elements a, b and c satisfied the commutative semiring requirements.\n\nbeginalign*\n(a oplus b) oplus c = a oplus (b oplus c)  hspace5emtrianglerighttextcommutative monoid oplus with identity mathbb0\na oplus mathbb0 = mathbb0 oplus a = a \na oplus b = b oplus a \n\n(a odot b) odot c = a odot (b odot c)     hspace5emtriangleright textcommutative monoid odot with identity mathbb1\na odot  mathbb1 =  mathbb1 odot a = a \na odot b = b odot a \n\na odot (boplus c) = aodot b oplus aodot c    hspace5emtriangleright textleft and right distributive\n(aoplus b) odot c = aodot c oplus bodot c \n\na odot mathbb0 = mathbb0 odot a = mathbb0\nendalign*\n\n\n\n\n\n","category":"function"},{"location":"ref/","page":"References","title":"References","text":"TropicalNumbers.Tropical\nTropicalNumbers.CountingTropical\nExtendedTropical\nMods.Mod\nTruncatedPoly\nMax2Poly\nConfigEnumerator\nSumProductTree\nConfigSampler","category":"page"},{"location":"ref/#TropicalNumbers.Tropical","page":"References","title":"TropicalNumbers.Tropical","text":"TropicalMaxPlus{T} = Tropical{T} <: AbstractSemiring\n\nTropicalMaxPlus is a semiring algebra, can be described by\n\nTropical (TropicalMaxPlus), (ℝ, max, +, -Inf, 0).\n\nIt maps\n\n+ to max in regular algebra,\n* to + in regular algebra,\n1 to 0 in regular algebra,\n0 to -Inf in regular algebra (for integer content types, this is chosen as a small integer).\n\nExample\n\njulia> TropicalMaxPlus(1.0) + TropicalMaxPlus(3.0)\n3.0ₜ\n\njulia> TropicalMaxPlus(1.0) * TropicalMaxPlus(3.0)\n4.0ₜ\n\njulia> one(TropicalMaxPlusF64)\n0.0ₜ\n\njulia> zero(TropicalMaxPlusF64)\n-Infₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#TropicalNumbers.CountingTropical","page":"References","title":"TropicalNumbers.CountingTropical","text":"CountingTropical{T,CT} <: Number\n\nCounting tropical number type is also a semiring algebra. It is tropical algebra with one extra field for counting, it is introduced in arXiv:2008.06888.\n\nExample\n\njulia> CountingTropical(1.0, 5.0) + CountingTropical(3.0, 2.0)\n(3.0, 2.0)ₜ\n\njulia> CountingTropical(1.0, 5.0) * CountingTropical(3.0, 2.0)\n(4.0, 10.0)ₜ\n\njulia> one(CountingTropicalF64)\n(0.0, 1.0)ₜ\n\njulia> zero(CountingTropicalF64)\n(-Inf, 0.0)ₜ\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ExtendedTropical","page":"References","title":"GenericTensorNetworks.ExtendedTropical","text":"ExtendedTropical{K,TO} <: Number\nExtendedTropical{K}(orders)\n\nExtended Tropical numbers with largest K orders keeped, or the TruncatedPoly without coefficients, TO is the element type of orders, usually Tropical numbers. This algebra maps\n\n+ to finding largest K values of union of two sets.\n* to finding largest K values of sum combination of two sets.\n0 to set [-Inf, -Inf, ..., -Inf, -Inf]\n1 to set [-Inf, -Inf, ..., -Inf, 0]\n\nFields\n\norders is a vector of Tropical (CountingTropical) numbers as the largest-K solution sizes (solutions).\n\nExamples\n\njulia> x = ExtendedTropical{3}(Tropical.([1.0, 2, 3]))\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[1.0ₜ, 2.0ₜ, 3.0ₜ])\n\njulia> y = ExtendedTropical{3}(Tropical.([-Inf, 2, 5]))\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, 2.0ₜ, 5.0ₜ])\n\njulia> x * y\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[6.0ₜ, 7.0ₜ, 8.0ₜ])\n\njulia> x + y\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[2.0ₜ, 3.0ₜ, 5.0ₜ])\n\njulia> one(x)\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, 0.0ₜ])\n\njulia> zero(x)\nExtendedTropical{3, Tropical{Float64}}(Tropical{Float64}[-Infₜ, -Infₜ, -Infₜ])\n\n\n\n\n\n","category":"type"},{"location":"ref/#Mods.Mod","page":"References","title":"Mods.Mod","text":"Mod{m}(v) creates a modular number in mod m with value mod(v,m).\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.TruncatedPoly","page":"References","title":"GenericTensorNetworks.TruncatedPoly","text":"TruncatedPoly{K,T,TO} <: Number\nTruncatedPoly(coeffs::Tuple, maxorder)\n\nPolynomial truncated to largest K orders. T is the coefficients type and TO is the orders type.\n\nFields\n\ncoeffs is the largest-K coefficients of a polynomial. In GenericTensorNetworks, it can be the counting or enumeration of solutions.\nmaxorder is the order of a polynomial.\n\nExamples\n\njulia> TruncatedPoly((1,2,3), 6)\nx^4 + 2*x^5 + 3*x^6\n\njulia> TruncatedPoly((1,2,3), 6) * TruncatedPoly((5,2,1), 3)\n20*x^7 + 8*x^8 + 3*x^9\n\njulia> TruncatedPoly((1,2,3), 6) + TruncatedPoly((5,2,1), 3)\nx^4 + 2*x^5 + 3*x^6\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.Max2Poly","page":"References","title":"GenericTensorNetworks.Max2Poly","text":"Max2Poly{T,TO} = TruncatedPoly{2,T,TO}\nMax2Poly(a, b, maxorder)\n\nA shorthand of TruncatedPoly{2}.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigEnumerator","page":"References","title":"GenericTensorNetworks.ConfigEnumerator","text":"ConfigEnumerator{N,S,C} <: AbstractSetNumber\n\nSet algebra for enumerating configurations, where N is the length of configurations, C is the size of storage in unit of UInt64, S is the bit width to store a single element in a configuration, i.e. log2(# of flavors), for bitstrings, it is 1`.\n\nFields\n\ndata is a vector of StaticElementVector as the solution set.\n\nExamples\n\njulia> a = ConfigEnumerator([StaticBitVector([1,1,1,0,0]), StaticBitVector([1,0,0,0,1])])\n{11100, 10001}\n\njulia> b = ConfigEnumerator([StaticBitVector([0,0,0,0,0]), StaticBitVector([1,0,1,0,1])])\n{00000, 10101}\n\njulia> a + b\n{11100, 10001, 00000, 10101}\n\njulia> one(a)\n{00000}\n\njulia> zero(a)\n{}\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.SumProductTree","page":"References","title":"GenericTensorNetworks.SumProductTree","text":"SumProductTree{ET} <: AbstractSetNumber\n\nConfiguration enumerator encoded in a tree, it is the most natural representation given by a sum-product network and is often more memory efficient than putting the configurations in a vector. One can use generate_samples to sample configurations from this tree structure efficiently.\n\nFields\n\ntag is one of ZERO, ONE, LEAF, SUM, PROD.\ndata is the element stored in a LEAF node.\nleft and right are two operands of a SUM or PROD node.\n\nExamples\n\njulia> s = SumProductTree(bv\"00111\")\n00111\n\n\njulia> q = SumProductTree(bv\"10000\")\n10000\n\n\njulia> x = s + q\n+ (count = 2.0)\n├─ 00111\n└─ 10000\n\n\njulia> y = x * x\n* (count = 4.0)\n├─ + (count = 2.0)\n│  ├─ 00111\n│  └─ 10000\n└─ + (count = 2.0)\n   ├─ 00111\n   └─ 10000\n\n\njulia> collect(y)\n4-element Vector{StaticBitVector{5, 1}}:\n 00111\n 10111\n 10111\n 10000\n\njulia> zero(s)\n∅\n\n\n\njulia> one(s)\n00000\n\n\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.ConfigSampler","page":"References","title":"GenericTensorNetworks.ConfigSampler","text":"ConfigSampler{N,S,C} <: AbstractSetNumber\nConfigSampler(elements::StaticElementVector)\n\nThe algebra for sampling one configuration, where N is the length of configurations, C is the size of storage in unit of UInt64, S is the bit width to store a single element in a configuration, i.e. log2(# of flavors), for bitstrings, it is 1`.\n\nnote: Note\nConfigSampler is a probabilistic commutative semiring, adding two config samplers do not give you deterministic results.\n\nFields\n\ndata is a StaticElementVector as the sampled solution.\n\nExamples\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0]))\nConfigSampler{5, 1, 1}(11100)\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0])) + ConfigSampler(StaticBitVector([1,0,1,0,0]))\nConfigSampler{5, 1, 1}(10100)\n\njulia> ConfigSampler(StaticBitVector([1,1,1,0,0])) * ConfigSampler(StaticBitVector([0,0,0,0,1]))\nConfigSampler{5, 1, 1}(11101)\n\njulia> one(ConfigSampler{5, 1, 1})\nConfigSampler{5, 1, 1}(00000)\n\njulia> zero(ConfigSampler{5, 1, 1})\nConfigSampler{5, 1, 1}(11111)\n\n\n\n\n\n","category":"type"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks also exports the Polynomial and LaurentPolynomial types defined in package Polynomials.","category":"page"},{"location":"ref/","page":"References","title":"References","text":"StaticBitVector\nStaticElementVector\nOnehotVec\nsave_configs\nload_configs\nsave_sumproduct\nload_sumproduct\n@bv_str\nonehotv\n\ngenerate_samples\nhamming_distribution","category":"page"},{"location":"ref/#GenericTensorNetworks.StaticBitVector","page":"References","title":"GenericTensorNetworks.StaticBitVector","text":"StaticBitVector{N,C} = StaticElementVector{N,1,C}\nStaticBitVector(x::AbstractVector)\n\nExamples\n\njulia> sb = StaticBitVector([1,0,0,1,1])\n10011\n\njulia> sb[3]\n0x0000000000000000\n\njulia> collect(Int, sb)\n5-element Vector{Int64}:\n 1\n 0\n 0\n 1\n 1\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.StaticElementVector","page":"References","title":"GenericTensorNetworks.StaticElementVector","text":"StaticElementVector{N,S,C}\nStaticElementVector(nflavor::Int, x::AbstractVector)\n\nN is the length of vector, C is the size of storage in unit of UInt64, S is the stride defined as the log2(# of flavors). When the number of flavors is 2, it is a StaticBitVector.\n\nFields\n\ndata is a tuple of UInt64 for storing the configuration of static elements.\n\nExamples\n\njulia> ev = StaticElementVector(3, [1,2,0,1,2])\n12012\n\njulia> ev[2]\n0x0000000000000002\n\njulia> collect(Int, ev)\n5-element Vector{Int64}:\n 1\n 2\n 0\n 1\n 2\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.OnehotVec","page":"References","title":"GenericTensorNetworks.OnehotVec","text":"OnehotVec{N,NF}\nOnehotVec{N,NF}(loc, val)\n\nOnehot vector type, N is the number of vector length, NF is the number of flavors.\n\n\n\n\n\n","category":"type"},{"location":"ref/#GenericTensorNetworks.save_configs","page":"References","title":"GenericTensorNetworks.save_configs","text":"save_configs(filename, data::ConfigEnumerator; format=:binary)\n\nSave configurations data to file filename. The format is :binary or :text.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.load_configs","page":"References","title":"GenericTensorNetworks.load_configs","text":"load_configs(filename; format=:binary, bitlength=nothing, nflavors=2)\n\nLoad configurations from file filename. The format is :binary or :text. If the format is :binary, the bitstring length bitlength must be specified, nflavors specifies the degree of freedom.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.save_sumproduct","page":"References","title":"GenericTensorNetworks.save_sumproduct","text":"save_sumproduct(filename, t::SumProductTree)\n\nSerialize a sum-product tree into a file.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.load_sumproduct","page":"References","title":"GenericTensorNetworks.load_sumproduct","text":"load_sumproduct(filename)\n\nDeserialize a sum-product tree from a file.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.@bv_str","page":"References","title":"GenericTensorNetworks.@bv_str","text":"Constructing a static bit vector.\n\n\n\n\n\n","category":"macro"},{"location":"ref/#GenericTensorNetworks.onehotv","page":"References","title":"GenericTensorNetworks.onehotv","text":"onehotv(::Type{<:StaticElementVector}, i, v)\nonehotv(::Type{<:StaticBitVector, i)\n\nReturns a static element vector, with the value at location i being v (1 if not specified).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.generate_samples","page":"References","title":"GenericTensorNetworks.generate_samples","text":"generate_samples(t::SumProductTree, nsamples::Int)\n\nDirect sampling configurations from a SumProductTree instance.\n\nExamples\n\njulia> using Graphs\n\njulia> g= smallgraph(:petersen)\n{10, 15} undirected simple Int64 graph\n\njulia> t = solve(IndependentSet(g), ConfigsAll(; tree_storage=true))[];\n\njulia> samples = generate_samples(t, 1000);\n\njulia> all(s->is_independent_set(g, s), samples)\ntrue\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.hamming_distribution","page":"References","title":"GenericTensorNetworks.hamming_distribution","text":"hamming_distribution(S, T)\n\nCompute the distribution of pair-wise Hamming distances, which is defined as:\n\nc(k) = sum_sigmain S tauin T delta(rm dist(sigma tau) k)\n\nwhere delta is a function that returns 1 if two arguments are equivalent, 0 otherwise, rm dist is the Hamming distance function.\n\nReturns the counting as a vector.\n\n\n\n\n\n","category":"function"},{"location":"ref/#Tensor-Network","page":"References","title":"Tensor Network","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"optimize_code\ngetixsv\ngetiyv\ncontraction_complexity\nestimate_memory\n@ein_str\nGreedyMethod\nTreeSA\nSABipartite\nKaHyParBipartite\nMergeVectors\nMergeGreedy","category":"page"},{"location":"ref/#OMEinsumContractionOrders.optimize_code","page":"References","title":"OMEinsumContractionOrders.optimize_code","text":"optimize_code(eincode, size_dict, optimizer = GreedyMethod(), simplifier=nothing, permute=true) -> optimized_eincode\n\nOptimize the einsum contraction code and reduce the time/space complexity of tensor network contraction. Returns a NestedEinsum instance. Input arguments are\n\neincode is an einsum contraction code instance, one of DynamicEinCode, StaticEinCode or NestedEinsum.\nsize is a dictionary of \"edge label=>edge size\" that contains the size information, one can use uniformsize(eincode, 2) to create a uniform size.\noptimizer is a CodeOptimizer instance, should be one of GreedyMethod, KaHyParBipartite, SABipartite or TreeSA. Check their docstrings for details.\nsimplifier is one of MergeVectors or MergeGreedy.\noptimize the permutation if permute is true.\n\nExamples\n\njulia> using OMEinsum\n\njulia> code = ein\"ij, jk, kl, il->\"\nij, jk, kl, il -> \n\njulia> optimize_code(code, uniformsize(code, 2), TreeSA())\nSlicedEinsum{Char, NestedEinsum{DynamicEinCode{Char}}}(Char[], ki, ki -> \n├─ jk, ij -> ki\n│  ├─ jk\n│  └─ ij\n└─ kl, il -> ki\n   ├─ kl\n   └─ il\n)\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.getixsv","page":"References","title":"OMEinsum.getixsv","text":"getixsv(code)\n\nGet labels of input tensors for EinCode, NestedEinsum and some other einsum like objects. Returns a vector of vectors.\n\njulia> getixsv(ein\"(ij,jk),k->i\")\n3-element Vector{Vector{Char}}:\n ['i', 'j']\n ['j', 'k']\n ['k']\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.getiyv","page":"References","title":"OMEinsum.getiyv","text":"getiy(code)\n\nGet labels of the output tensor for EinCode, NestedEinsum and some other einsum like objects. Returns a vector.\n\njulia> getiyv(ein\"(ij,jk),k->i\")\n1-element Vector{Char}:\n 'i': ASCII/Unicode U+0069 (category Ll: Letter, lowercase)\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsumContractionOrders.contraction_complexity","page":"References","title":"OMEinsumContractionOrders.contraction_complexity","text":"contraction_complexity(eincode, size_dict) -> ContractionComplexity\n\nReturns the time, space and read-write complexity of the einsum contraction. The returned object contains 3 fields:\n\ntime complexity tc defined as log2(number of element-wise multiplications).\nspace complexity sc defined as log2(size of the maximum intermediate tensor).\nread-write complexity rwc defined as log2(the number of read-write operations).\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.estimate_memory","page":"References","title":"GenericTensorNetworks.estimate_memory","text":"estimate_memory(\n    problem::GraphProblem,\n    property::GenericTensorNetworks.AbstractProperty;\n    T\n) -> Any\n\n\nMemory estimation in number of bytes to compute certain property of a problem. T is the base type.\n\n\n\n\n\n","category":"function"},{"location":"ref/#OMEinsum.@ein_str","page":"References","title":"OMEinsum.@ein_str","text":"ein\"ij,jk -> ik\"(A,B)\n\nString macro interface which understands numpy.einsum's notation. Translates strings into StaticEinCode-structs that can be called to evaluate an einsum. To control evaluation order, use parentheses - instead of an EinCode, a NestedEinsum is returned which evaluates the expression according to parens. The valid character ranges for index-labels are a-z and α-ω.\n\nexample\n\njulia> a, b, c = rand(10,10), rand(10,10), rand(10,1);\n\njulia> ein\"ij,jk,kl -> il\"(a,b,c) ≈ ein\"(ij,jk),kl -> il\"(a,b,c) ≈ a * b * c\ntrue\n\n\n\n\n\n","category":"macro"},{"location":"ref/#OMEinsumContractionOrders.GreedyMethod","page":"References","title":"OMEinsumContractionOrders.GreedyMethod","text":"GreedyMethod{MT}\nGreedyMethod(; method=MinSpaceOut(), nrepeat=10)\n\nThe fast but poor greedy optimizer. Input arguments are\n\nmethod is MinSpaceDiff() or MinSpaceOut.\nMinSpaceOut choose one of the contraction that produces a minimum output tensor size,\nMinSpaceDiff choose one of the contraction that decrease the space most.\nnrepeat is the number of repeatition, returns the best contraction order.\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.TreeSA","page":"References","title":"OMEinsumContractionOrders.TreeSA","text":"TreeSA{RT,IT,GM}\nTreeSA(; sc_target=20, βs=collect(0.01:0.05:15), ntrials=10, niters=50,\n    sc_weight=1.0, rw_weight=0.2, initializer=:greedy, greedy_config=GreedyMethod(; nrepeat=1))\n\nOptimize the einsum contraction pattern using the simulated annealing on tensor expression tree.\n\nsc_target is the target space complexity,\nntrials, βs and niters are annealing parameters, doing ntrials indepedent annealings, each has inverse tempteratures specified by βs, in each temperature, do niters updates of the tree.\nsc_weight is the relative importance factor of space complexity in the loss compared with the time complexity.\nrw_weight is the relative importance factor of memory read and write in the loss compared with the time complexity.\ninitializer specifies how to determine the initial configuration, it can be :greedy or :random. If it is using :greedy method to generate the initial configuration, it also uses two extra arguments greedy_method and greedy_nrepeat.\nnslices is the number of sliced legs, default is 0.\nfixed_slices is a vector of sliced legs, default is [].\n\nReferences\n\nRecursive Multi-Tensor Contraction for XEB Verification of Quantum Circuits\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.SABipartite","page":"References","title":"OMEinsumContractionOrders.SABipartite","text":"SABipartite{RT,BT}\nSABipartite(; sc_target=25, ntrials=50, βs=0.1:0.2:15.0, niters=1000\n    max_group_size=40, greedy_config=GreedyMethod(), initializer=:random)\n\nOptimize the einsum code contraction order using the Simulated Annealing bipartition + Greedy approach. This program first recursively cuts the tensors into several groups using simulated annealing, with maximum group size specifed by max_group_size and maximum space complexity specified by sc_target, Then finds the contraction order inside each group with the greedy search algorithm. Other arguments are\n\nsize_dict, a dictionary that specifies leg dimensions,\nsc_target is the target space complexity, defined as log2(number of elements in the largest tensor),\nmax_group_size is the maximum size that allowed to used greedy search,\nβs is a list of inverse temperature 1/T,\nniters is the number of iteration in each temperature,\nntrials is the number of repetition (with different random seeds),\ngreedy_config configures the greedy method,\ninitializer, the partition configuration initializer, one can choose :random or :greedy (slow but better).\n\nReferences\n\nHyper-optimized tensor network contraction\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.KaHyParBipartite","page":"References","title":"OMEinsumContractionOrders.KaHyParBipartite","text":"KaHyParBipartite{RT,IT,GM}\nKaHyParBipartite(; sc_target, imbalances=collect(0.0:0.005:0.8),\n    max_group_size=40, greedy_config=GreedyMethod())\n\nOptimize the einsum code contraction order using the KaHyPar + Greedy approach. This program first recursively cuts the tensors into several groups using KaHyPar, with maximum group size specifed by max_group_size and maximum space complexity specified by sc_target, Then finds the contraction order inside each group with the greedy search algorithm. Other arguments are\n\nsc_target is the target space complexity, defined as log2(number of elements in the largest tensor),\nimbalances is a KaHyPar parameter that controls the group sizes in hierarchical bipartition,\nmax_group_size is the maximum size that allowed to used greedy search,\ngreedy_config is a greedy optimizer.\n\nReferences\n\nHyper-optimized tensor network contraction\nSimulating the Sycamore quantum supremacy circuits\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.MergeVectors","page":"References","title":"OMEinsumContractionOrders.MergeVectors","text":"MergeVectors <: CodeSimplifier\nMergeVectors()\n\nContraction code simplifier (in order to reduce the time of calling optimizers) that merges vectors to closest tensors.\n\n\n\n\n\n","category":"type"},{"location":"ref/#OMEinsumContractionOrders.MergeGreedy","page":"References","title":"OMEinsumContractionOrders.MergeGreedy","text":"MergeGreedy <: CodeSimplifier\nMergeGreedy(; threshhold=-1e-12)\n\nContraction code simplifier (in order to reduce the time of calling optimizers) that merges tensors greedily if the space complexity of merged tensors is reduced (difference smaller than the threshhold).\n\n\n\n\n\n","category":"type"},{"location":"ref/#Others","page":"References","title":"Others","text":"","category":"section"},{"location":"ref/#Graph","page":"References","title":"Graph","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"show_graph\nshow_gallery\nshow_einsum\n\ndiagonal_coupled_graph\nsquare_lattice_graph\nunit_disk_graph\nline_graph\n\nrandom_diagonal_coupled_graph\nrandom_square_lattice_graph","category":"page"},{"location":"ref/#LuxorGraphPlot.show_graph","page":"References","title":"LuxorGraphPlot.show_graph","text":"show_graph([f, ]graph::SimpleGraph;\n    locs=nothing,\n    layout=:auto,\n    optimal_distance=1.0,\n    spring_mask=trues(nv(graph)),\n\n    vertex_colors=nothing,\n    vertex_sizes=nothing,\n    vertex_stroke_colors=nothing,\n    vertex_text_colors=nothing,\n    edge_colors=nothing,\n    texts = nothing,\n    format=GraphDisplayConfig.format[],\n    filename=nothing,\n    kwargs...)\n\nShow a graph in VSCode, Pluto or Jupyter notebook, or save it to a file.\n\nPositional arguments\n\nf is a function that returns extra Luxor plotting statements.\ngraph is a graph instance.\n\nKeyword arguments\n\nlocs is a vector of tuples for specifying the vertex locations.\nlayout is one of [:auto, :spring, :stress], the default value is :spring if locs is nothing.\noptimal_distance is a optimal distance parameter for spring optimizer.\nspring_mask specfies which location is optimizable for spring optimizer.\nvertex_colors is a vector of color strings for specifying vertex fill colors.\nvertex_sizes is a vector of real numbers for specifying vertex sizes.\nvertex_shapes is a vector of strings for specifying vertex shapes, the string should be \"circle\" or \"box\".\nvertex_stroke_colors is a vector of color strings for specifying vertex stroke colors.\nvertex_text_colors is a vector of color strings for specifying vertex text colors.\nedge_colors is a vector of color strings for specifying edge colors.\ntexts is a vector of strings for labeling vertices.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\nExample\n\njulia> using Graphs\n\njulia> show_graph(smallgraph(:petersen); format=:png, vertex_colors=rand([\"blue\", \"red\"], 10));\n\n\n\n\n\n","category":"function"},{"location":"ref/#LuxorGraphPlot.show_gallery","page":"References","title":"LuxorGraphPlot.show_gallery","text":"show_gallery([f, ]graph::SimpleGraph, grid::Tuple{Int,Int};\n    locs=nothing,\n    layout=:auto,\n    optimal_distance=1.0,\n    spring_mask=trues(nv(graph)),\n\n    vertex_configs=nothing,\n    edge_configs=nothing,\n    vertex_color=nothing,\n    edge_color=nothing,\n\n    vertex_sizes=nothing,\n    vertex_shapes=nothing,\n    vertex_stroke_colors=nothing,\n    vertex_text_colors=nothing,\n    texts=nothing,\n    xpad=1.0,\n    ypad=1.0,\n    format=GraphDisplayConfig.format[],\n    filename=nothing,\n    kwargs...)\n\nShow a gallery of graphs for multiple vertex configurations or edge configurations in VSCode, Pluto or Jupyter notebook, or save it to a file.\n\nPositional arguments\n\nf is a function that returns extra Luxor plotting statements.\ngraph is a graph instance.\ngrid is the grid layout of the gallery, e.g. input value (2, 3) means a grid layout with 2 rows and 3 columns.\n\nKeyword arguments\n\nlocs is a vector of tuples for specifying the vertex locations.\nlayout is one of [:auto, :spring, :stress], the default value is :spring if locs is nothing.\noptimal_distance is a optimal distance parameter for spring optimizer.\nspring_mask specfies which location is optimizable for spring optimizer.\nvertex_configs is an iterator of bit strings for specifying vertex configurations. It will be rendered as vertex colors.\nedge_configs is an iterator of bit strings for specifying edge configurations. It will be rendered as edge colors.\nedge_color is a dictionary that specifies the edge configuration - color map.\nvertex_color is a dictionary that specifies the vertex configuration - color map.\nvertex_sizes is a vector of real numbers for specifying vertex sizes.\nvertex_shapes is a vector of strings for specifying vertex shapes, the string should be \"circle\" or \"box\".\nvertex_stroke_colors is a vector of color strings for specifying vertex stroke colors.\nvertex_text_colors is a vector of color strings for specifying vertex text colors.\ntexts is a vector of strings for labeling vertices.\nxpad is the space between two adjacent plots in x direction.\nypad is the space between two adjacent plots in y direction.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\nExample\n\njulia> using Graphs\n\njulia> show_gallery(smallgraph(:petersen), (2, 3); format=:png, vertex_configs=[rand(Bool, 10) for k=1:6]);\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.show_einsum","page":"References","title":"GenericTensorNetworks.show_einsum","text":"show_einsum(ein::AbstractEinsum;\n    tensor_locs=nothing,\n    label_locs=nothing,  # dict\n    spring::Bool=true,\n    optimal_distance=1.0,\n\n    tensor_size=0.3,\n    tensor_color=\"black\",\n    tensor_text_color=\"white\",\n    annotate_tensors=false,\n\n    label_size=0.15,\n    label_color=\"black\",\n    open_label_color=\"red\",\n    annotate_labels=true,\n    kwargs...\n    )\n\nPositional arguments\n\nein is an Einsum contraction code (provided by package OMEinsum).\n\nKeyword arguments\n\ntensor_locs is a vector of tuples for specifying the vertex locations.\nlabel_locs is a vector of tuples for specifying the vertex locations.\nspring is switch to use spring method to optimize the location.\noptimal_distance is a optimal distance parameter for spring optimizer.\ntensor_color is a string to specify the color of tensor nodes.\ntensor_size is a real number to specify the size of tensor nodes.\ntensor_text_color is a color strings to specify tensor text color.\nannotate_tensors is a boolean switch for annotate different tensors by integers.\nlabel_size is a real number to specify label text node size.\nlabel_color is a color strings to specify label text color.\nopen_label_color is a color strings to specify open label text color.\nannotate_labels is a boolean switch for annotate different labels.\nformat is the output format, which can be :svg, :png or :pdf.\nfilename is a string as the output filename.\n\nExtra keyword arguments\n\ngeneral\nxpad::Float64 = 1.0, the padding space in x direction\nypad::Float64 = 1.0, the padding space in y direction\nxpad_right::Float64 = 1.0, the padding space in x direction (right side)\nypad_bottom::Float64 = 1.0, the padding space in y direction (bottom side)\nbackground_color = DEFAULT_BACKGROUND_COLOR[], the background color\nunit::Float64 = DEFAULT_UNIT[], the unit distance as the number of pixels\nfontsize::Float64 = DEFAULT_FONTSIZE[], the font size\nfontface::String = \"\", the font face, leave empty to follow system\nvertex\nvertex_text_color = DEFAULT_VERTEX_TEXT_COLOR[], the default text color\nvertex_stroke_color = DEFAULT_VERTEX_STROKE_COLOR[], the default stroke color for vertices\nvertex_color = DEFAULT_VERTEX_FILL_COLOR[], the default default fill color for vertices\nvertex_size::Float64 = DEFAULT_VERTEX_SIZE[], the default vertex size\nvertex_shape::String = \"circle\", the default vertex shape, which can be \"circle\" or \"box\"\nvertex_line_width::Float64 = 1, the default vertex stroke line width\nvertex_line_style::String = \"solid\", the line style of vertex stroke, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\nedge\nedge_color = DEFAULT_EDGE_COLOR[], the default edge color\nedge_line_width::Float64 = 1, the default line width\nedge_style::String = \"solid\", the line style of edges, which can be one of [\"solid\", \"dotted\", \"dot\", \"dotdashed\", \"longdashed\", \"shortdashed\", \"dash\", \"dashed\", \"dotdotdashed\", \"dotdotdotdashed\"]\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.diagonal_coupled_graph","page":"References","title":"GenericTensorNetworks.diagonal_coupled_graph","text":"diagonal_coupled_graph(mask::AbstractMatrix{Bool})\n\nCreate a masked diagonal coupled square lattice graph from a specified mask.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.square_lattice_graph","page":"References","title":"GenericTensorNetworks.square_lattice_graph","text":"square_lattice_graph(mask::AbstractMatrix{Bool})\n\nCreate a masked square lattice graph.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.unit_disk_graph","page":"References","title":"GenericTensorNetworks.unit_disk_graph","text":"unit_disk_graph(locs::AbstractVector, unit::Real)\n\nCreate a unit disk graph with locations specified by locs and unit distance unit.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.line_graph","page":"References","title":"GenericTensorNetworks.line_graph","text":"line_graph(g::SimpleGraph)\n\nReturns the line graph of g. The line graph is generated by mapping an edge to a vertex and two edges sharing a common vertex will be connected.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.random_diagonal_coupled_graph","page":"References","title":"GenericTensorNetworks.random_diagonal_coupled_graph","text":"random_diagonal_coupled_graph(m::Int, n::Int, ρ::Real)\n\nCreate a mtimes n random masked diagonal coupled square lattice graph,  with number of vertices equal to lfloor m times ntimes rho rceil.\n\n\n\n\n\n","category":"function"},{"location":"ref/#GenericTensorNetworks.random_square_lattice_graph","page":"References","title":"GenericTensorNetworks.random_square_lattice_graph","text":"random_square_lattice_graph(m::Int, n::Int, ρ::Real)\n\nCreate a random masked square lattice graph, with number of vertices fixed to lfloor mnrho rceil.\n\n\n\n\n\n","category":"function"},{"location":"ref/","page":"References","title":"References","text":"One can also use random_regular_graph and smallgraph in Graphs to build special graphs.","category":"page"},{"location":"ref/#Multiprocessing","page":"References","title":"Multiprocessing","text":"","category":"section"},{"location":"ref/","page":"References","title":"References","text":"GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","category":"page"},{"location":"ref/#GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","page":"References","title":"GenericTensorNetworks.SimpleMultiprocessing.multiprocess_run","text":"multiprocess_run(func, inputs::AbstractVector)\n\nExecute function func on inputs with multiple processing.\n\nExample\n\nSuppose we have a file run.jl with the following contents\n\nusing GenericTensorNetworks.SimpleMultiprocessing\n\nresults = multiprocess_run(x->x^2, randn(8))\n\nIn an terminal, you may run the script with 4 processes by typing\n\n$ julia -p4 run.jl\n      From worker 2:\t[ Info: running argument -0.17544008350172655 on device 2\n      From worker 5:\t[ Info: running argument 0.34578117779452555 on device 5\n      From worker 3:\t[ Info: running argument 2.0312551239727705 on device 3\n      From worker 4:\t[ Info: running argument -0.7319353419291961 on device 4\n      From worker 2:\t[ Info: running argument 0.013132180639054629 on device 2\n      From worker 3:\t[ Info: running argument 0.9960101782201602 on device 3\n      From worker 4:\t[ Info: running argument -0.5613942832743966 on device 4\n      From worker 5:\t[ Info: running argument 0.39460402723831134 on device 5\n\n\n\n\n\n","category":"function"},{"location":"","page":"Home","title":"Home","text":"CurrentModule = GenericTensorNetworks","category":"page"},{"location":"#GenericTensorNetworks","page":"Home","title":"GenericTensorNetworks","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"This package implements generic tensor networks to compute solution space properties of a class of hard combinatorial problems. The solution space properties include","category":"page"},{"location":"","page":"Home","title":"Home","text":"The maximum/minimum solution sizes,\nThe number of solutions at certain sizes,\nThe enumeration of solutions at certain sizes.\nThe direct sampling of solutions at certain sizes.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The solvable problems include Independent set problem, Maximal independent set problem, Spin-glass problem, Cutting problem, Vertex matching problem, Binary paint shop problem, Coloring problem, Dominating set problem, Satisfiability problem, Set packing problem and Set covering problem.","category":"page"},{"location":"#Background-knowledge","page":"Home","title":"Background knowledge","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"Please check our paper \"Computing properties of independent sets by generic programming tensor networks\". If you find our paper or software useful in your work, we would be grateful if you could cite our work. The CITATION.bib file in the root of this repository lists the relevant papers.","category":"page"},{"location":"#Quick-start","page":"Home","title":"Quick start","text":"","category":"section"},{"location":"","page":"Home","title":"Home","text":"You can find a set up guide in our README. To get started, open a Julia REPL and type the following code.","category":"page"},{"location":"","page":"Home","title":"Home","text":"julia> using GenericTensorNetworks, Graphs\n\njulia> # using CUDA\n\njulia> solve(\n           IndependentSet(\n               Graphs.random_regular_graph(20, 3);\n               optimizer = TreeSA(),\n               weights = NoWeight(),    # default: uniform weight 1\n               openvertices = (),       # default: no open vertices\n               fixedvertices = Dict()   # default: no fixed vertices\n           ),\n           GraphPolynomial();\n           usecuda=false              # the default value\n       )\n0-dimensional Array{Polynomial{BigInt, :x}, 0}:\nPolynomial(1 + 20*x + 160*x^2 + 659*x^3 + 1500*x^4 + 1883*x^5 + 1223*x^6 + 347*x^7 + 25*x^8)","category":"page"},{"location":"","page":"Home","title":"Home","text":"Here the main function solve takes three input arguments, the problem instance of type IndependentSet, the property instance of type GraphPolynomial and an optional key word argument usecuda to decide use GPU or not. If one wants to use GPU to accelerate the computation, the using CUDA statement must uncommented.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The problem instance takes four arguments to initialize, the only positional argument is the graph instance that one wants to solve, the key word argument optimizer is for specifying the tensor network optimization algorithm, the key word argument weights is for specifying the weights of vertices as either a vector or NoWeight(). The keyword argument openvertices is a tuple of labels for specifying the degrees of freedom not summed over, and fixedvertices is a label-value dictionary for specifying the fixed values of the degree of freedoms. Here, we use TreeSA method as the tensor network optimizer, and leave weights and openvertices the default values. The TreeSA method finds the best contraction order in most of our applications, while the default GreedyMethod runs the fastest.","category":"page"},{"location":"","page":"Home","title":"Home","text":"The first execution of this function will be a bit slow due to Julia's just in time compiling. The subsequent runs will be fast. The following diagram lists possible combinations of input arguments, where functions in the Graph are mainly defined in the package Graphs, and the rest can be found in this package.","category":"page"},{"location":"","page":"Home","title":"Home","text":"<div align=center>\n<img src=\"assets/fig7.svg\" width=\"75%\"/>\n</div>","category":"page"},{"location":"","page":"Home","title":"Home","text":"⠀ You can find many examples in this documentation, a good one to start with is Independent set problem.","category":"page"}]
 }
diff --git a/dev/sumproduct/index.html b/dev/sumproduct/index.html
index ed73b36b..cb260e63 100644
--- a/dev/sumproduct/index.html
+++ b/dev/sumproduct/index.html
@@ -24,4 +24,4 @@
           │⠀⠀⠀⠀⠀⠀⠀⠀⢠⠇⠀⠀⠀⠀⠀⠀⠀⢳⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀│ 
         0 │⢀⣀⣀⣀⣀⣀⣀⣀⠎⠀⠀⠀⠀⠀⠀⠀⠀⠀⠓⢄⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⣀⠀⠀⠀⠀│ 
           └────────────────────────────────────────┘ 
-          ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀80⠀ </code></pre><p>Here, the <span>$x$</span>-axis is the Hamming distance and the <span>$y$</span>-axis is the counting of pair-wise Hamming distances.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/saveload/">« Save and load solutions</a><a class="docs-footer-nextpage" href="../generated/weighted/">Weighted problems »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.0.1 on <span class="colophon-date" title="Monday 25 September 2023 20:20">Monday 25 September 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+          ⠀0⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀80⠀ </code></pre><p>Here, the <span>$x$</span>-axis is the Hamming distance and the <span>$y$</span>-axis is the counting of pair-wise Hamming distances.</p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../generated/saveload/">« Save and load solutions</a><a class="docs-footer-nextpage" href="../generated/weighted/">Weighted problems »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.1.2 on <span class="colophon-date" title="Tuesday 7 November 2023 07:46">Tuesday 7 November 2023</span>. Using Julia version 1.9.3.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>