Make semantic model aware of docstring(#9960)

Merged
Merging
dhruv/semantic-model-docstring
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main
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Benchmarks

formatter[large/dataset.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[large/dataset.py]
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53.2 ms
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formatter[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[numpy/ctypeslib.py]
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formatter[numpy/globals.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[numpy/globals.py]
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formatter[pydantic/types.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[pydantic/types.py]
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19.6 ms
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formatter[unicode/pypinyin.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[unicode/pypinyin.py]
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3.4 ms
3.4 ms
lexer[large/dataset.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[large/dataset.py]
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8.5 ms
8.5 ms
lexer[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[numpy/ctypeslib.py]
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1.6 ms
1.6 ms
lexer[numpy/globals.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[numpy/globals.py]
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154.9 µs
154.9 µs
lexer[pydantic/types.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[pydantic/types.py]
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3.7 ms
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lexer[unicode/pypinyin.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[unicode/pypinyin.py]
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526.7 µs
526.7 µs
linter/all-rules[large/dataset.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[large/dataset.py]
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83.2 ms
83 ms
linter/all-rules[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[numpy/ctypeslib.py]
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19 ms
19 ms
linter/all-rules[numpy/globals.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[numpy/globals.py]
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2.6 ms
2.6 ms
linter/all-rules[pydantic/types.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[pydantic/types.py]
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40.1 ms
40.2 ms
linter/all-rules[unicode/pypinyin.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[unicode/pypinyin.py]
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10.2 ms
10.2 ms
linter/default-rules[large/dataset.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[large/dataset.py]
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19 ms
19.1 ms
linter/default-rules[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[numpy/ctypeslib.py]
+1%
4.1 ms
4.1 ms
linter/default-rules[numpy/globals.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[numpy/globals.py]
-1%
627.6 µs
634.9 µs
linter/default-rules[pydantic/types.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[pydantic/types.py]
-2%
8.4 ms
8.5 ms
linter/default-rules[unicode/pypinyin.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[unicode/pypinyin.py]
-1%
1.5 ms
1.5 ms
linter/all-with-preview-rules[large/dataset.py]
crates/ruff_benchmark/benches/linter.rs::preview_rules::benchmark_preview_rules::linter/all-with-preview-rules[large/dataset.py]
-1%
97.4 ms
98.5 ms
linter/all-with-preview-rules[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/linter.rs::preview_rules::benchmark_preview_rules::linter/all-with-preview-rules[numpy/ctypeslib.py]
0%
22.2 ms
22.3 ms
linter/all-with-preview-rules[numpy/globals.py]
crates/ruff_benchmark/benches/linter.rs::preview_rules::benchmark_preview_rules::linter/all-with-preview-rules[numpy/globals.py]
0%
3 ms
3 ms
linter/all-with-preview-rules[pydantic/types.py]
crates/ruff_benchmark/benches/linter.rs::preview_rules::benchmark_preview_rules::linter/all-with-preview-rules[pydantic/types.py]
+1%
48.3 ms
47.9 ms
linter/all-with-preview-rules[unicode/pypinyin.py]
crates/ruff_benchmark/benches/linter.rs::preview_rules::benchmark_preview_rules::linter/all-with-preview-rules[unicode/pypinyin.py]
0%
11.4 ms
11.4 ms
parser[large/dataset.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[large/dataset.py]
0%
63.6 ms
63.5 ms
parser[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[numpy/ctypeslib.py]
0%
10.8 ms
10.8 ms
parser[numpy/globals.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[numpy/globals.py]
0%
963.3 µs
963.6 µs
parser[pydantic/types.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[pydantic/types.py]
0%
24.4 ms
24.4 ms
parser[unicode/pypinyin.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[unicode/pypinyin.py]
-4%
3.8 ms
3.9 ms

Commits

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Don't forget to set your cpu to performance mode (#9700) Since i just spent quite some time wondering why my benchmarks were the opposite of what they should be, a reminder to check your cpu governor. Setting mine to perf mode was crucial.
base
1ccd835
13 days ago by konstin
0%
Make the semantic model aware of docstring
b9a4c51
13 days ago by dhruvmanila
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