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Detect items that hash to same value in duplicate dictionaries
#14065
Merged
Comparing
charlie/hash-eq-ii
(
35e9e2e
) with
main
(
66872a4
)
0%
Improvements
0
Regressions
0
Untouched
32
New
0
Dropped
0
Ignored
0
Benchmarks
Passed
linter/default-rules[large/dataset.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[large/dataset.py]
0%
3.7 ms
3.7 ms
lexer[numpy/globals.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[numpy/globals.py]
0%
30.2 µs
30.2 µs
parser[numpy/globals.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[numpy/globals.py]
0%
102.6 µs
102.5 µs
red_knot_check_file[incremental]
crates/ruff_benchmark/benches/red_knot.rs::check_file::benchmark_incremental::red_knot_check_file[incremental]
0%
4.3 ms
4.3 ms
parser[unicode/pypinyin.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[unicode/pypinyin.py]
0%
310.5 µs
310.4 µs
formatter[numpy/globals.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[numpy/globals.py]
0%
243.7 µs
243.6 µs
parser[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[numpy/ctypeslib.py]
0%
936.5 µs
936.4 µs
formatter[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[numpy/ctypeslib.py]
0%
1.9 ms
1.9 ms
formatter[unicode/pypinyin.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[unicode/pypinyin.py]
0%
667.6 µs
667.6 µs
parser[pydantic/types.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[pydantic/types.py]
0%
2 ms
2 ms
parser[large/dataset.py]
crates/ruff_benchmark/benches/parser.rs::parser::benchmark_parser::parser[large/dataset.py]
0%
4.8 ms
4.8 ms
formatter[large/dataset.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[large/dataset.py]
0%
9.5 ms
9.5 ms
formatter[pydantic/types.py]
crates/ruff_benchmark/benches/formatter.rs::formatter::benchmark_formatter::formatter[pydantic/types.py]
0%
3.5 ms
3.5 ms
lexer[unicode/pypinyin.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[unicode/pypinyin.py]
0%
74.7 µs
74.7 µs
lexer[large/dataset.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[large/dataset.py]
0%
1.1 ms
1.1 ms
linter/all-rules[large/dataset.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[large/dataset.py]
0%
16.9 ms
16.9 ms
lexer[pydantic/types.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[pydantic/types.py]
0%
486.2 µs
486.2 µs
lexer[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/lexer.rs::lexer::benchmark_lexer::lexer[numpy/ctypeslib.py]
0%
217.9 µs
217.9 µs
linter/all-rules[numpy/globals.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[numpy/globals.py]
0%
708.8 µs
709 µs
linter/default-rules[pydantic/types.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[pydantic/types.py]
0%
1.9 ms
1.9 ms
linter/all-rules[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[numpy/ctypeslib.py]
0%
4.1 ms
4.1 ms
red_knot_check_file[cold]
crates/ruff_benchmark/benches/red_knot.rs::check_file::benchmark_cold::red_knot_check_file[cold]
0%
63.5 ms
63.6 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%
814.2 µs
815.1 µs
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]
0%
19.7 ms
19.8 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%
4.9 ms
4.9 ms
linter/all-rules[pydantic/types.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[pydantic/types.py]
0%
8.4 ms
8.4 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]
0%
9.9 ms
9.9 ms
linter/default-rules[numpy/ctypeslib.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[numpy/ctypeslib.py]
0%
905.2 µs
907 µs
linter/default-rules[numpy/globals.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[numpy/globals.py]
0%
181.5 µs
181.9 µs
linter/default-rules[unicode/pypinyin.py]
crates/ruff_benchmark/benches/linter.rs::default_rules::benchmark_default_rules::linter/default-rules[unicode/pypinyin.py]
0%
349.2 µs
350.3 µs
linter/all-rules[unicode/pypinyin.py]
crates/ruff_benchmark/benches/linter.rs::all_rules::benchmark_all_rules::linter/all-rules[unicode/pypinyin.py]
0%
2.2 ms
2.2 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%
2.4 ms
2.4 ms
Commits
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Base
main
66872a4
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Detect items that hash to same value in duplicate dictionaries
35e9e2e
24 days ago
by charliermarsh
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