add Julia benchmark result (julia) benchmark result for b22aa4d

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1716530066424,
+  "lastUpdate": 1716531692033,
   "repoUrl": "https://github.com/RomeoV/ProbabilisticParameterEstimators.jl",
   "entries": {
     "Julia benchmark result": [
@@ -602,6 +602,66 @@ 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": "b22aa4d16771b48e9841e4118354456c6642c273",
+          "message": "Add CompatHelper.yml",
+          "timestamp": "2024-05-23T23:18:59-07:00",
+          "tree_id": "ffefc4a6015e610d978643a73dc720ff77010ac8",
+          "url": "https://github.com/RomeoV/ProbabilisticParameterEstimators.jl/commit/b22aa4d16771b48e9841e4118354456c6642c273"
+        },
+        "date": 1716531691100,
+        "tool": "julia",
+        "benches": [
+          {
+            "name": "MCMCEstimator/medium",
+            "value": 123110156,
+            "unit": "ns",
+            "extra": "gctime=8783096\nmemory=396014064\nallocs=549613\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": 59180925,
+            "unit": "ns",
+            "extra": "gctime=2411586.5\nmemory=56498320\nallocs=413804\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": 412057051,
+            "unit": "ns",
+            "extra": "gctime=18006697\nmemory=1000292976\nallocs=1648389\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": 96670796,
+            "unit": "ns",
+            "extra": "gctime=3729799\nmemory=109282384\nallocs=739660\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": 906621,
+            "unit": "ns",
+            "extra": "gctime=0\nmemory=2078256\nallocs=3483\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": 232514,
+            "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}"
+          }
+        ]
       }
     ]
   }