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11f5d1f192
Add a method `Utf8ToUtf16::convert_program_and_comments`, and use it in a couple of places. This is marginally faster than `convert_program` followed by `convert_comments`, as it avoids branching on the same condition twice.
127 lines
4.8 KiB
Rust
127 lines
4.8 KiB
Rust
use oxc_allocator::Allocator;
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use oxc_ast_visit::utf8_to_utf16::Utf8ToUtf16;
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use oxc_benchmark::{BenchmarkId, Criterion, black_box, criterion_group, criterion_main};
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use oxc_estree_tokens::{ESTreeTokenOptionsJS, to_estree_tokens_json};
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use oxc_parser::{ParseOptions, Parser, ParserReturn, config::RuntimeParserConfig};
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use oxc_tasks_common::TestFiles;
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fn bench_parser(criterion: &mut Criterion) {
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let mut group = criterion.benchmark_group("parser");
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for file in TestFiles::minimal().files() {
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let id = BenchmarkId::from_parameter(&file.file_name);
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let source_text = &file.source_text;
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let source_type = file.source_type;
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group.bench_function(id, |b| {
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// Do not include initializing allocator in benchmark.
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// User code would likely reuse the same allocator over and over to parse multiple files,
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// so we do the same here.
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let mut allocator = Allocator::default();
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b.iter(|| {
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Parser::new(&allocator, source_text, source_type)
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.with_options(ParseOptions {
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parse_regular_expression: true,
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..ParseOptions::default()
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})
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.parse();
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allocator.reset();
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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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fn bench_estree(criterion: &mut Criterion) {
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let mut group = criterion.benchmark_group("estree");
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for file in TestFiles::complicated().files().iter().take(1) {
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let id = BenchmarkId::from_parameter(&file.file_name);
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let source_text = &file.source_text;
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let source_type = file.source_type;
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let mut allocator = Allocator::default();
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group.bench_function(id, |b| {
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b.iter_with_setup_wrapper(|runner| {
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allocator.reset();
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let mut program = Parser::new(&allocator, source_text, source_type)
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.with_options(ParseOptions {
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parse_regular_expression: true,
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..ParseOptions::default()
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})
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.parse()
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.program;
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runner.run(|| {
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let span_converter = Utf8ToUtf16::new(program.source_text);
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span_converter.convert_program_and_comments(&mut program);
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black_box(program.to_estree_json_with_fixes(true, false));
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program
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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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fn bench_estree_tokens(criterion: &mut Criterion) {
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let mut group = criterion.benchmark_group("estree_tokens");
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for file in TestFiles::complicated().files().iter().take(1) {
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let id = BenchmarkId::from_parameter(&file.file_name);
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let source_text = &file.source_text;
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let source_type = file.source_type;
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let mut allocator = Allocator::default();
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group.bench_function(id, |b| {
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b.iter_with_setup_wrapper(|runner| {
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allocator.reset();
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// Use `RuntimeParserConfig` (runtime config), same as NAPI parser package will.
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// `bench_estree` uses `NoTokensParserConfig` (implicitly as default).
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// Usually it's inadvisable to use 2 different configs in the same application,
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// but this is just a benchmark, and it's better if we don't entwine this benchmark with `bench_estree`.
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let config = RuntimeParserConfig::new(true);
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let ret = Parser::new(&allocator, source_text, source_type)
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.with_options(ParseOptions {
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parse_regular_expression: true,
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..ParseOptions::default()
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})
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.with_config(config)
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.parse();
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let ParserReturn { program, tokens, .. } = ret;
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// Creating span converter is not performed in measured section, as we only want to measure tokens.
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// Span converter needs to be created anyway for serializing AST.
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let span_converter = Utf8ToUtf16::new(program.source_text);
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runner.run(|| {
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let tokens_json = to_estree_tokens_json(
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&tokens,
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&program,
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program.source_text,
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&span_converter,
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ESTreeTokenOptionsJS,
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);
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let tokens_json = black_box(tokens_json);
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// Allocate tokens JSON into arena, same as linter and NAPI parser package do
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let _tokens_json = allocator.alloc_str(&tokens_json);
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program
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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!(parser, bench_parser, bench_estree, bench_estree_tokens);
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criterion_main!(parser);
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