add Haskell Benchmark (customSmallerIsBetter) benchmark result for d71d792

Author: github-action-benchmark

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1750941543188,
+  "lastUpdate": 1750952502223,
   "repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
   "entries": {
     "Haskell Benchmark": [
@@ -37634,6 +37634,102 @@ window.BENCHMARK_DATA = {
             "range": 1.4250982234812976e-7
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "joosep.jaager@iohk.io",
+            "name": "Joosep Jääger",
+            "username": "Soupstraw"
+          },
+          "committer": {
+            "email": "joosep.jaager@gmail.com",
+            "name": "Joosep Jääger",
+            "username": "Soupstraw"
+          },
+          "distinct": true,
+          "id": "d71d7923a79cfcde8cac0b5db399a5427524d06a",
+          "message": "Added a test",
+          "timestamp": "2025-06-26T15:37:57Z",
+          "tree_id": "c5d9f6b73d8a3fec082ab0f9ece5e1e33fccd208",
+          "url": "https://github.com/IntersectMBO/cardano-ledger/commit/d71d7923a79cfcde8cac0b5db399a5427524d06a"
+        },
+        "date": 1750952483061,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
+            "value": 0.00015181462921789668,
+            "unit": "Nanoseconds",
+            "range": 0.0000034513702698571174
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
+            "value": 0.0001551423382388363,
+            "unit": "Nanoseconds",
+            "range": 5.054780125733916e-7
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
+            "value": 0.00015569636731717996,
+            "unit": "Nanoseconds",
+            "range": 0.000001545931660463422
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
+            "value": 0.0002464683371152706,
+            "unit": "Nanoseconds",
+            "range": 0.000003416238868813656
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
+            "value": 0.00000854843412571069,
+            "unit": "Nanoseconds",
+            "range": 1.8927802499472983e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
+            "value": 0.00001513128379515229,
+            "unit": "Nanoseconds",
+            "range": 2.5268025848436064e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
+            "value": 0.0000153687107437838,
+            "unit": "Nanoseconds",
+            "range": 2.85342599392529e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
+            "value": 0.000010688741468459476,
+            "unit": "Nanoseconds",
+            "range": 1.0969677453259826e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
+            "value": 0.00000860030077821153,
+            "unit": "Nanoseconds",
+            "range": 4.529627935215882e-8
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
+            "value": 0.00001708106097090819,
+            "unit": "Nanoseconds",
+            "range": 1.1777323703604905e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
+            "value": 0.00001744840095963064,
+            "unit": "Nanoseconds",
+            "range": 1.0349221034725898e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
+            "value": 0.000010419530784640559,
+            "unit": "Nanoseconds",
+            "range": 1.1106267308667905e-7
+          }
+        ]
       }
     ]
   }