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https://github.com/astral-sh/ruff.git
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1031bb6550
**Summary** This adds the information whether we're in a .py python source file or in a .pyi stub file to enable people working on #5822 and related issues. I'm not completely happy with `Default` for something that depends on the input. **Test Plan** None, this is currently unused, i'm leaving this to first implementation of stub file specific formatting. --------- Co-authored-by: Micha Reiser <micha@reiser.io>
66 lines
2.5 KiB
Rust
66 lines
2.5 KiB
Rust
use criterion::{criterion_group, criterion_main, BenchmarkId, Criterion, Throughput};
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use ruff_benchmark::{TestCase, TestCaseSpeed, TestFile, TestFileDownloadError};
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use ruff_python_formatter::{format_module, PyFormatOptions};
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use std::path::Path;
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use std::time::Duration;
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#[cfg(target_os = "windows")]
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#[global_allocator]
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static GLOBAL: mimalloc::MiMalloc = mimalloc::MiMalloc;
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#[cfg(all(
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not(target_os = "windows"),
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not(target_os = "openbsd"),
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any(
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target_arch = "x86_64",
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target_arch = "aarch64",
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target_arch = "powerpc64"
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)
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))]
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#[global_allocator]
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static GLOBAL: tikv_jemallocator::Jemalloc = tikv_jemallocator::Jemalloc;
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fn create_test_cases() -> Result<Vec<TestCase>, TestFileDownloadError> {
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Ok(vec![
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TestCase::fast(TestFile::try_download("numpy/globals.py", "https://raw.githubusercontent.com/numpy/numpy/89d64415e349ca75a25250f22b874aa16e5c0973/numpy/_globals.py")?),
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TestCase::normal(TestFile::try_download(
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"pydantic/types.py",
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"https://raw.githubusercontent.com/pydantic/pydantic/83b3c49e99ceb4599d9286a3d793cea44ac36d4b/pydantic/types.py",
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)?),
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TestCase::normal(TestFile::try_download("numpy/ctypeslib.py", "https://raw.githubusercontent.com/numpy/numpy/e42c9503a14d66adfd41356ef5640c6975c45218/numpy/ctypeslib.py")?),
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TestCase::slow(TestFile::try_download(
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"large/dataset.py",
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"https://raw.githubusercontent.com/DHI/mikeio/b7d26418f4db2909b0aa965253dbe83194d7bb5b/tests/test_dataset.py",
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)?),
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])
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}
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fn benchmark_formatter(criterion: &mut Criterion) {
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let mut group = criterion.benchmark_group("formatter");
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let test_cases = create_test_cases().unwrap();
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for case in test_cases {
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group.throughput(Throughput::Bytes(case.code().len() as u64));
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group.measurement_time(match case.speed() {
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TestCaseSpeed::Fast => Duration::from_secs(5),
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TestCaseSpeed::Normal => Duration::from_secs(10),
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TestCaseSpeed::Slow => Duration::from_secs(20),
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});
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group.bench_with_input(
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BenchmarkId::from_parameter(case.name()),
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&case,
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|b, case| {
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b.iter(|| {
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let options = PyFormatOptions::from_extension(Path::new(case.name()));
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format_module(case.code(), options).expect("Formatting to succeed")
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});
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},
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);
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}
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group.finish();
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}
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criterion_group!(formatter, benchmark_formatter);
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criterion_main!(formatter);
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