add Haskell Benchmark (customSmallerIsBetter) benchmark result for 4a9e8a4

Author: github-action-benchmark

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1757444805464,
+  "lastUpdate": 1757516634019,
   "repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
   "entries": {
     "Haskell Benchmark": [
@@ -44066,6 +44066,102 @@ window.BENCHMARK_DATA = {
             "unit": "Nanoseconds"
           }
         ]
+      },
+      {
+        "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": "4a9e8a4b3912cf3ff193a1a45d0090d9ea300849",
+          "message": "Added txInfoSpec tests to Dijkstra",
+          "timestamp": "2025-09-10T15:00:40Z",
+          "tree_id": "a327a544c623ee6d5c2b1f62160f1f768e877c99",
+          "url": "https://github.com/IntersectMBO/cardano-ledger/commit/4a9e8a4b3912cf3ff193a1a45d0090d9ea300849"
+        },
+        "date": 1757516618540,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
+            "value": 0.00015243662875303855,
+            "range": "0.000007260035914533667",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
+            "value": 0.00015533520449931824,
+            "range": "0.0000018040881079154848",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
+            "value": 0.00015571797137936845,
+            "range": "0.0000028629615683083753",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
+            "value": 0.00024498796572037005,
+            "range": "0.0000010887530625687033",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
+            "value": 0.000008568319184241693,
+            "range": "8.87792288560875e-8",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
+            "value": 0.00001517060431457513,
+            "range": "3.187439215185507e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
+            "value": 0.000014626120332598629,
+            "range": "9.404625800234897e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
+            "value": 0.000009759472358342286,
+            "range": "7.134863770879698e-8",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
+            "value": 0.00000853644997710066,
+            "range": "4.5641060633528814e-8",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
+            "value": 0.000016852672956039002,
+            "range": "1.3923515970332556e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
+            "value": 0.000017298569374816893,
+            "range": "1.8224474666969925e-7",
+            "unit": "Nanoseconds"
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
+            "value": 0.000009836412490434627,
+            "range": "1.4692424370090164e-7",
+            "unit": "Nanoseconds"
+          }
+        ]
       }
     ]
   }