add Haskell Benchmark (customSmallerIsBetter) benchmark result for b385cb1

Author: github-action-benchmark

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1758885931138,
+  "lastUpdate": 1758920843117,
   "repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
   "entries": {
     "Haskell Benchmark": [
@@ -45986,6 +45986,102 @@ window.BENCHMARK_DATA = {
             "unit": "Nanoseconds"
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "alexey.kuleshevich@iohk.io",
+            "name": "Alexey Kuleshevich",
+            "username": "lehins"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "b385cb190ffaaaab9b38d6617ddf929e4412080a",
+          "message": "Merge pull request #5275 from IntersectMBO/td/dijkstra-native-script\n\nDijkstra Native Scripts",
+          "timestamp": "2025-09-26T15:03:52-06:00",
+          "tree_id": "db262f7818b8d1104ee0f9efa36d238e4b2c3677",
+          "url": "https://github.com/IntersectMBO/cardano-ledger/commit/b385cb190ffaaaab9b38d6617ddf929e4412080a"
+        },
+        "date": 1758920825358,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
+            "value": 0.00015180611389095685,
+            "range": "5.231710878218037e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
+            "value": 0.0001568043026870037,
+            "range": "0.000004487833730842982",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
+            "value": 0.0001576665127227685,
+            "range": "0.000004868429798030867",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
+            "value": 0.0002482396813068694,
+            "range": "0.0000047079918331554",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
+            "value": 0.000008414141856661425,
+            "range": "4.4859147471905063e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
+            "value": 0.000014826310503198101,
+            "range": "1.6504589755137107e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
+            "value": 0.00001381817405730951,
+            "range": "2.556494918515685e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
+            "value": 0.000009567294570472544,
+            "range": "1.1332726704627599e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
+            "value": 0.000008411298573661363,
+            "range": "8.898897284788139e-8",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
+            "value": 0.000016635951858594568,
+            "range": "3.3094040688660973e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
+            "value": 0.000016646007163682123,
+            "range": "1.241996642011809e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
+            "value": 0.00000984626118656635,
+            "range": "8.95134176869261e-8",
+            "unit": "Nanoseconds"
+          }
+        ]
       }
     ]
   }