Run Information
Regressions in System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig
| Benchmark |
Baseline |
Test |
Test/Base |
Test Quality |
Edge Detector |
Baseline IR |
Compare IR |
IR Ratio |
|
5.01 secs |
5.56 secs |
1.11 |
0.01 |
False |
|
|
|
|
5.16 secs |
5.51 secs |
1.07 |
0.01 |
False |
|
|
|


Test Report
Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md
git clone https://github.com/dotnet/performance.git
python3 .\performance\scripts\benchmarks_ci.py -f net8.0 --filter 'System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig*'
Details
System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig.Count(Pattern: ".{2,4}(Tom|Sawyer|Huckleberry|Finn)", Options: None)
ETL Files
Histogram
JIT Disasms
System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig.Count(Pattern: ".{0,2}(Tom|Sawyer|Huckleberry|Finn)", Options: None)
ETL Files
Histogram
JIT Disasms
Docs
Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository
Run Information
Regressions in System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig
Test Report
Repro
General Docs link: https://github.com/dotnet/performance/blob/main/docs/benchmarking-workflow-dotnet-runtime.md
Details
System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig.Count(Pattern: ".{2,4}(Tom|Sawyer|Huckleberry|Finn)", Options: None)
ETL Files
Histogram
JIT Disasms
System.Text.RegularExpressions.Tests.Perf_Regex_Industry_Leipzig.Count(Pattern: ".{0,2}(Tom|Sawyer|Huckleberry|Finn)", Options: None)
ETL Files
Histogram
JIT Disasms
Docs
Profiling workflow for dotnet/runtime repository
Benchmarking workflow for dotnet/runtime repository