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github-action-benchmark
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add Haskell Benchmark (customSmallerIsBetter) benchmark result for a703b69
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dev/bench/data.js

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window.BENCHMARK_DATA = {
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"lastUpdate": 1758798631775,
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"lastUpdate": 1758810753168,
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"repoUrl": "https://github.com/IntersectMBO/cardano-ledger",
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"entries": {
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"Haskell Benchmark": [
@@ -45698,6 +45698,102 @@ window.BENCHMARK_DATA = {
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"unit": "Nanoseconds"
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}
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]
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},
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{
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"commit": {
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"author": {
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"email": "carlos.tome-cortinas@iohk.io",
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"name": "Carlos Tomé Cortiñas",
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"username": "carlostome"
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},
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"committer": {
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"email": "noreply@github.com",
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"name": "GitHub",
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"username": "web-flow"
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},
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"distinct": true,
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"id": "a703b69c0f4bb43fc1b190aed6e3dde99777bc54",
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"message": "Enable part of the remaining conformance imp tests (#5301)\n\n* Enable RATIFY in conformance testing\n\n* Enable EPOCH conformance testing\n\n* Enable LEDGER in conformance testing\n\n* Enable UTXO in conformance testing\n\n* Add conformance testing instructions\n\n* Apply suggestions from code review\n\nCo-authored-by: William DeMeo <williamdemeo@gmail.com>\n\n* Add runAgdaRuleWithDebug for debugging\n\n---------\n\nCo-authored-by: William DeMeo <williamdemeo@gmail.com>",
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"timestamp": "2025-09-25T14:28:55Z",
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"tree_id": "0e2bc8aae9053f5be75909c496ba1b6d3c6ec539",
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"url": "https://github.com/IntersectMBO/cardano-ledger/commit/a703b69c0f4bb43fc1b190aed6e3dde99777bc54"
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},
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"date": 1758810734773,
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"tool": "customSmallerIsBetter",
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"benches": [
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{
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"name": "applyTxBenchmarks/ApplyTxInEra/ShelleyEra",
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"value": 0.00015111144191925105,
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"range": "0.0000035505930399847035",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/ApplyTxInEra/AllegraEra",
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"value": 0.00015443628411140227,
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"range": "0.00000196860261294175",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/ApplyTxInEra/MaryEra",
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"value": 0.00015429047398387847,
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"range": "0.0000017306794978171673",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/ApplyTxInEra/AlonzoEra",
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"value": 0.00024705932043005705,
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"range": "0.000012621111792296482",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Tx/ShelleyEra",
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"value": 0.000008239261316685237,
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"range": "9.084136095652388e-8",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Tx/AllegraEra",
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"value": 0.000014365968682940555,
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"range": "2.1448314723184581e-7",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Tx/MaryEra",
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"value": 0.000013576992684983497,
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"range": "2.5230765061328474e-7",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Tx/AlonzoEra",
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"value": 0.000009352016440369302,
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"range": "9.079896493393705e-8",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Ann Tx/ShelleyEra",
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"value": 0.000008330376090983309,
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"range": "4.097818769307644e-8",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Ann Tx/AllegraEra",
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"value": 0.000016336099601159545,
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"range": "4.1896755948400737e-7",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Ann Tx/MaryEra",
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"value": 0.000016637956425070856,
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"range": "2.0546788233699475e-7",
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"unit": "Nanoseconds"
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},
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{
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"name": "applyTxBenchmarks/Deserialise Ann Tx/AlonzoEra",
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"value": 0.000009770059586232207,
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"range": "9.803908597261724e-8",
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"unit": "Nanoseconds"
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}
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]
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}
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]
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}

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