add Haskell Benchmark (customSmallerIsBetter) benchmark result for a377c9b

Author: github-action-benchmark

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1755823896764,
+  "lastUpdate": 1755864713833,
   "repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
   "entries": {
     "Haskell Benchmark": [
@@ -42626,6 +42626,102 @@ window.BENCHMARK_DATA = {
             "range": 7.121269063140984e-8
           }
         ]
+      },
+      {
+        "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": "a377c9b0332a826e4bed852986134e80400c4096",
+          "message": "Huddle tweaks",
+          "timestamp": "2025-08-22T12:08:31Z",
+          "tree_id": "4e2320261ade277603bf37869580ac5ce4c4f3f1",
+          "url": "https://github.com/IntersectMBO/cardano-ledger/commit/a377c9b0332a826e4bed852986134e80400c4096"
+        },
+        "date": 1755864695663,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
+            "value": 0.0001517775139694409,
+            "unit": "Nanoseconds",
+            "range": 0.000004082881801836196
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
+            "value": 0.00015544423613731716,
+            "unit": "Nanoseconds",
+            "range": 0.000001710433941262477
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
+            "value": 0.0001548246560893418,
+            "unit": "Nanoseconds",
+            "range": 3.211227855042303e-7
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
+            "value": 0.000245492092742877,
+            "unit": "Nanoseconds",
+            "range": 0.000007915193303922509
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
+            "value": 0.000008467154248211518,
+            "unit": "Nanoseconds",
+            "range": 5.968247897811686e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
+            "value": 0.000015465985249242046,
+            "unit": "Nanoseconds",
+            "range": 0.0000015417691252448466
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
+            "value": 0.000015287656514118383,
+            "unit": "Nanoseconds",
+            "range": 4.235039642589938e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
+            "value": 0.000009328840893142447,
+            "unit": "Nanoseconds",
+            "range": 8.786722884302665e-8
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
+            "value": 0.000008431443462151547,
+            "unit": "Nanoseconds",
+            "range": 5.881829153591866e-8
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
+            "value": 0.000016574562671153198,
+            "unit": "Nanoseconds",
+            "range": 1.078670714632685e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
+            "value": 0.000017109446172151307,
+            "unit": "Nanoseconds",
+            "range": 2.1077743071514564e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
+            "value": 0.000009860862704621113,
+            "unit": "Nanoseconds",
+            "range": 3.744360189672058e-7
+          }
+        ]
       }
     ]
   }