add TensorWaves benchmark results (pytest) benchmark result for 75ea9a2

ComPWA · Jul 7, 2023 · 5926e14 · 5926e14
1 parent e3269e7
commit 5926e14
Showing 1 changed file with 137 additions and 1 deletion.
diff --git a/data.js b/data.js
@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1688025314898,
+  "lastUpdate": 1688691984357,
   "repoUrl": "https://github.com/ComPWA/tensorwaves",
   "entries": {
     "TensorWaves benchmark results": [
@@ -14062,6 +14062,142 @@ window.BENCHMARK_DATA = {
             "extra": "mean: 840.8001324000224 msec\nrounds: 5"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "66853113+pre-commit-ci[bot]@users.noreply.github.com",
+            "name": "pre-commit-ci[bot]",
+            "username": "pre-commit-ci[bot]"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
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+          "distinct": true,
+          "id": "75ea9a20fede9924e393fdba62997720c9c3137e",
+          "message": "DX!: switch to Ruff as linter (#492)\n\n* MAINT: implement updates from pre-commit hooks\r\n* MAINT: update pip constraints and pre-commit\r\n* MAINT: upgrade to Jupyter Lab v4\r\n\r\n---------\r\n\r\nCo-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>\r\nCo-authored-by: GitHub <noreply@github.com>\r\nCo-authored-by: Remco de Boer <29308176+redeboer@users.noreply.github.com>",
+          "timestamp": "2023-07-07T03:02:45+02:00",
+          "tree_id": "f6fba67cb19678af9439bf527ad3e024a7c4ea3d",
+          "url": "https://github.com/ComPWA/tensorwaves/commit/75ea9a20fede9924e393fdba62997720c9c3137e"
+        },
+        "date": 1688691983659,
+        "tool": "pytest",
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+            "value": 0.271630988823614,
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+            "extra": "mean: 3.681465079999981 sec\nrounds: 1"
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+            "unit": "iter/sec",
+            "range": "stddev: 0",
+            "extra": "mean: 3.960495078000008 sec\nrounds: 1"
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+            "range": "stddev: 0",
+            "extra": "mean: 1.9001646970000365 sec\nrounds: 1"
+          },
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+            "extra": "mean: 7.111890484376104 msec\nrounds: 128"
+          },
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+            "value": 3.3128095637504296,
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+            "extra": "mean: 65.11550306250058 msec\nrounds: 16"
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+            "extra": "mean: 1.0339700912000012 sec\nrounds: 5"
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+            "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-jax]",
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+            "extra": "mean: 66.71996620001437 msec\nrounds: 15"
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+            "extra": "mean: 66.75146093750328 msec\nrounds: 16"
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+            "name": "benchmarks/expression.py::test_fit[1000-ScipyMinimizer-tf]",
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+          }
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       }
     ]
   }