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Update bench_test url

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Vu Minh Thang 2020-03-10 14:26:32 +09:00
parent 76a82c6ed1
commit 8ae2cae120
2 changed files with 2 additions and 2 deletions
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README.md
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@ -341,7 +341,7 @@ GolangCI-Lint was created to fix the following issues with `gometalinter`:
Benchmarks were executed on MacBook Pro (Retina, 13-inch, Late 2013), 2,4 GHz Intel Core i5, 8 GB 1600 MHz DDR3. Benchmarks were executed on MacBook Pro (Retina, 13-inch, Late 2013), 2,4 GHz Intel Core i5, 8 GB 1600 MHz DDR3.
It has 4 cores and concurrent linting as a default consuming all cores. It has 4 cores and concurrent linting as a default consuming all cores.
Benchmark was run (and measured) automatically, see the code Benchmark was run (and measured) automatically, see the code
[here](https://github.com/golangci/golangci-lint/blob/master/test/bench_test.go) (`BenchmarkWithGometalinter`). [here](https://github.com/golangci/golangci-lint/blob/master/test/bench/bench_test.go) (`BenchmarkWithGometalinter`).
We measure peak memory usage (RSS) by tracking of processes RSS every 5 ms. We measure peak memory usage (RSS) by tracking of processes RSS every 5 ms.

2
README.tmpl.md
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@ -300,7 +300,7 @@ GolangCI-Lint was created to fix the following issues with `gometalinter`:
Benchmarks were executed on MacBook Pro (Retina, 13-inch, Late 2013), 2,4 GHz Intel Core i5, 8 GB 1600 MHz DDR3. Benchmarks were executed on MacBook Pro (Retina, 13-inch, Late 2013), 2,4 GHz Intel Core i5, 8 GB 1600 MHz DDR3.
It has 4 cores and concurrent linting as a default consuming all cores. It has 4 cores and concurrent linting as a default consuming all cores.
Benchmark was run (and measured) automatically, see the code Benchmark was run (and measured) automatically, see the code
[here](https://github.com/golangci/golangci-lint/blob/master/test/bench_test.go) (`BenchmarkWithGometalinter`). [here](https://github.com/golangci/golangci-lint/blob/master/test/bench/bench_test.go) (`BenchmarkWithGometalinter`).
We measure peak memory usage (RSS) by tracking of processes RSS every 5 ms. We measure peak memory usage (RSS) by tracking of processes RSS every 5 ms.