add Haskell Benchmark (customSmallerIsBetter) benchmark result for c2df298

Author: github-action-benchmark

dev/bench/data.js

@@ -1,5 +1,5 @@
 window.BENCHMARK_DATA = {
-  "lastUpdate": 1750345412560,
+  "lastUpdate": 1750368250804,
   "repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
   "entries": {
     "Haskell Benchmark": [
@@ -37346,6 +37346,102 @@ window.BENCHMARK_DATA = {
             "range": 8.61077705216434e-8
           }
         ]
+      },
+      {
+        "commit": {
+          "author": {
+            "email": "sheard@pdx.edu",
+            "name": "Tim Sheard",
+            "username": "TimSheard"
+          },
+          "committer": {
+            "email": "noreply@github.com",
+            "name": "GitHub",
+            "username": "web-flow"
+          },
+          "distinct": true,
+          "id": "c2df298904206e151a404419e4f94533c14919a1",
+          "message": "Add documentation Manual.md and DesignPrinciples.md (#5044)\n\n* Added sub directory src/Constrained/Min  where we keep a minimal version of the system.\nThe idea is that is easier to explain, since it doesn't have things like Generics.\nIt consists of Constrained.Min.Base.hs, Constraied.Min.Syntax.hs, Constrained.Min.Model.hs,\nand Constrained.Min.Tuple.hs\nAdded the file docs/constrained/DesignPrinciples.md that describes this minimal system.\n\n* Describe computeSpecSimplified, the  use of SolverPlan and propagageSpec.\n\n* parent 90eeb3aff8e178c135302e5e40884f132a90a630\nauthor Tim Sheard <sheard@pdx.edu> 1747246081 -0700\ncommitter Tim Sheard <sheard@pdx.edu> 1750253688 -0400\n\nAdded a second document docs/constrained_generators/manual.md\nThis is a basic manual about how to write constraints, but does not\ngo into details about how the system is implemented.",
+          "timestamp": "2025-06-19T21:12:59Z",
+          "tree_id": "148a9a883ca8606e786cf4a7526ee41bfb45d037",
+          "url": "https://github.com/IntersectMBO/cardano-ledger/commit/c2df298904206e151a404419e4f94533c14919a1"
+        },
+        "date": 1750368231981,
+        "tool": "customSmallerIsBetter",
+        "benches": [
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
+            "value": 0.00015242498140248658,
+            "unit": "Nanoseconds",
+            "range": 0.0000015309134661264895
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
+            "value": 0.00015619151508821838,
+            "unit": "Nanoseconds",
+            "range": 4.6684750585758743e-7
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
+            "value": 0.00015573303704913128,
+            "unit": "Nanoseconds",
+            "range": 0.0000014383237195408503
+          },
+          {
+            "name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
+            "value": 0.0002457496138101173,
+            "unit": "Nanoseconds",
+            "range": 0.000001168906471892121
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
+            "value": 0.000008479773622990211,
+            "unit": "Nanoseconds",
+            "range": 6.593561672227589e-8
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
+            "value": 0.000015302486544617604,
+            "unit": "Nanoseconds",
+            "range": 1.4305196025636743e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
+            "value": 0.000015313373483875016,
+            "unit": "Nanoseconds",
+            "range": 1.537075833100263e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
+            "value": 0.000010773152090946601,
+            "unit": "Nanoseconds",
+            "range": 1.1672599218028804e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
+            "value": 0.000008570177874395107,
+            "unit": "Nanoseconds",
+            "range": 4.4564146117326075e-8
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
+            "value": 0.000016982729708963465,
+            "unit": "Nanoseconds",
+            "range": 1.82401052105065e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
+            "value": 0.000017317553717338078,
+            "unit": "Nanoseconds",
+            "range": 1.26068753838211e-7
+          },
+          {
+            "name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
+            "value": 0.000010411106767421238,
+            "unit": "Nanoseconds",
+            "range": 1.2608499761444635e-7
+          }
+        ]
       }
     ]
   }