Merge pull request #54 from stephenhky/develop

Use pyproject.toml instead of setup.py for package distribution

README.md

@@ -90,7 +90,8 @@ the simplicial complexes are, and how homologies are defined:
 
 ## News
 
-* 07/16/2023: `mogutsa` 0.4.2 released.
+* 09/19/2024: `mogutda` 0.4.3 released.
+* 07/16/2024: `mogutsa` 0.4.2 released.
 * 11/23/2023: `mogutda` 0.4.1 released.
 * 08/18/2023: `mogutda` 0.4.0 released.
 * 06/20/2023: `mogutda` 0.3.5 released.

docs/conf.py

@@ -60,7 +60,7 @@
 # The short X.Y version.
 version = u'0.4'
 # The full version, including alpha/beta/rc tags.
-release = u'0.4.2'
+release = u'0.4.3'
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.

docs/history.rst

@@ -10,7 +10,7 @@ However, `mogu` is simply a collection of unrelated numerical routines with a lo
 dependencies, but the part of TDA can be quite independent.
 
 In order to provide other researchers and developers an independent package, which is compact (without
-unecessary alternative packages to load), and efficient, I decided to modularize
+unnecessary alternative packages to load), and efficient, I decided to modularize
 the codes of TDA separately, and name this package `mogutda`.
 
 .. _mogu: https://pypi.org/project/mogu/

docs/index.rst

@@ -16,7 +16,7 @@ draw some insights from them. A lot of machine learning algorithms deal
 with distances, which are extremely useful, but they miss the
 information the data may carry from their geometry.
 
-`mogutda` runs in Python 3.8, 3.9, 3.10, and 3.11.
+`mogutda` runs in Python 3.8, 3.9, 3.10, 3.11, and 3.12.
 
 Contributors:
 

docs/news.rst

@@ -1,7 +1,8 @@
 News
 ====
 
-* 07/16/2023: `mogutsa` 0.4.2 released.
+* 09/19/2024: `mogutda` 0.4.3 released.
+* 07/16/2024: `mogutda` 0.4.2 released.
 * 11/23/2023: `mogutda` 0.4.1 released.
 * 08/18/2023: `mogutda` 0.4.0 released.
 * 06/20/2023: `mogutda` 0.3.5 released.

pyproject.toml

@@ -0,0 +1,42 @@
+[build-system]
+requires = ["setuptools", "setuptools-scm", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "mogutda"
+version = "0.4.3"
+authors = [
+    {name = "Kwan Yuet Stephen Ho", email = "[email protected]"}
+]
+description = "Topological Data Analysis in Python"
+readme = {file = "README.md", content-type = "text/markdown"}
+license = {text = "MIT"}
+keywords = ["mogutda", "numerical methods", "topology", "data", "algebraic topology"]
+requires-python = ">=3.8"
+classifiers = [
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Scientific/Engineering :: Physics",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "License :: OSI Approved :: MIT License",
+    "Intended Audience :: Developers",
+    "Intended Audience :: Education",
+    "Intended Audience :: Information Technology",
+    "Intended Audience :: Science/Research"
+]
+dependencies = ["numpy>=1.16.0", "scipy>=1.10.0", "networkx>=2.0", "matplotlib>=3.3.0"]
+
+[project.urls]
+Documentation = "https://mogutda.readthedocs.io"
+Repository = "https://github.com/stephenhky/MoguTDA"
+Issues = "https://github.com/stephenhky/MoguTDA/issues"
+
+[tool.setuptools]
+packages = ["mogutda"]
+zip-safe = false
+
+[project.optional-dependencies]
+test = ["unittest"]