add Julia benchmark result (julia) benchmark result for d50aa4c

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1716531692033,
+  "lastUpdate": 1716533242010,
   "repoUrl": "https://github.com/RomeoV/ProbabilisticParameterEstimators.jl",
   "entries": {
     "Julia benchmark result": [
@@ -662,6 +662,66 @@ window.BENCHMARK_DATA = {
             "extra": "gctime=0\nmemory=238576\nallocs=1547\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "[email protected]",
+            "name": "Romeo Valentin",
+            "username": "RomeoV"
+          },
+          "committer": {
+            "email": "[email protected]",
+            "name": "Romeo Valentin",
+            "username": "RomeoV"
+          },
+          "distinct": true,
+          "id": "d50aa4c3ccc3f331270e924a01bc9e71e0cde3d9",
+          "message": "Update benchmarks manifest.",
+          "timestamp": "2024-05-23T23:45:00-07:00",
+          "tree_id": "6f86c59ed49271bdda1d2cca12e89bab24117f69",
+          "url": "https://github.com/RomeoV/ProbabilisticParameterEstimators.jl/commit/d50aa4c3ccc3f331270e924a01bc9e71e0cde3d9"
+        },
+        "date": 1716533241691,
+        "tool": "julia",
+        "benches": [
+          {
+            "name": "MCMCEstimator/medium",
+            "value": 124590981,
+            "unit": "ns",
+            "extra": "gctime=9768980\nmemory=400408016\nallocs=554057\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          },
+          {
+            "name": "MCMCEstimator/small",
+            "value": 57976289,
+            "unit": "ns",
+            "extra": "gctime=2330061\nmemory=56448128\nallocs=413318\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          },
+          {
+            "name": "LSQEstimator/medium",
+            "value": 425958661,
+            "unit": "ns",
+            "extra": "gctime=20861381\nmemory=999081744\nallocs=1646749\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          },
+          {
+            "name": "LSQEstimator/small",
+            "value": 98742748.5,
+            "unit": "ns",
+            "extra": "gctime=3792352.5\nmemory=109278544\nallocs=739605\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          },
+          {
+            "name": "LinearApproxEstimator/medium",
+            "value": 949772,
+            "unit": "ns",
+            "extra": "gctime=0\nmemory=2078224\nallocs=3482\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          },
+          {
+            "name": "LinearApproxEstimator/small",
+            "value": 237277.5,
+            "unit": "ns",
+            "extra": "gctime=0\nmemory=238576\nallocs=1547\nparams={\"gctrial\":true,\"time_tolerance\":0.05,\"evals_set\":false,\"samples\":10000,\"evals\":1,\"gcsample\":false,\"seconds\":5,\"overhead\":0,\"memory_tolerance\":0.01}"
+          }
+        ]
       }
     ]
   }