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Add support for simple generic type variables to UP040 #6314

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merged 9 commits into from
Aug 7, 2023

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zanieb
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@zanieb zanieb commented Aug 3, 2023

Extends #6289 to support moving type variable usage in type aliases to use PEP-695.

Does not remove the possibly unused type variable declaration. Presumably this is handled by other rules, but is not working for me. We cannot remove module level declarations safely.

Does not handle type variables with bounds or variance declarations yet.

Part of #4617

@zanieb zanieb force-pushed the rule/type-alias-generic branch from 1834445 to 382e0f1 Compare August 3, 2023 18:37
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PR Check Results

Ecosystem

✅ ecosystem check detected no changes.

Benchmark

Linux

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.01      8.3±0.13ms     4.9 MB/sec    1.00      8.2±0.17ms     5.0 MB/sec
formatter/numpy/ctypeslib.py               1.01  1644.6±44.20µs    10.1 MB/sec    1.00  1625.4±30.34µs    10.2 MB/sec
formatter/numpy/globals.py                 1.02    186.0±6.90µs    15.9 MB/sec    1.00    181.8±3.22µs    16.2 MB/sec
formatter/pydantic/types.py                1.01      3.5±0.06ms     7.3 MB/sec    1.00      3.4±0.07ms     7.4 MB/sec
linter/all-rules/large/dataset.py          1.00     10.1±0.04ms     4.0 MB/sec    1.00     10.1±0.02ms     4.0 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      2.7±0.02ms     6.2 MB/sec    1.01      2.7±0.01ms     6.2 MB/sec
linter/all-rules/numpy/globals.py          1.00    377.2±1.39µs     7.8 MB/sec    1.01    380.7±1.97µs     7.8 MB/sec
linter/all-rules/pydantic/types.py         1.00      4.6±0.04ms     5.5 MB/sec    1.00      4.6±0.03ms     5.5 MB/sec
linter/default-rules/large/dataset.py      1.00      5.2±0.01ms     7.8 MB/sec    1.00      5.2±0.01ms     7.8 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00   1123.8±2.80µs    14.8 MB/sec    1.01   1132.3±4.46µs    14.7 MB/sec
linter/default-rules/numpy/globals.py      1.00    127.7±1.28µs    23.1 MB/sec    1.01    128.9±2.59µs    22.9 MB/sec
linter/default-rules/pydantic/types.py     1.00      2.3±0.00ms    10.9 MB/sec    1.01      2.3±0.01ms    10.9 MB/sec

Windows

group                                      main                                   pr
-----                                      ----                                   --
formatter/large/dataset.py                 1.05     10.3±0.07ms     3.9 MB/sec    1.00      9.8±0.08ms     4.1 MB/sec
formatter/numpy/ctypeslib.py               1.05  1952.7±26.25µs     8.5 MB/sec    1.00  1863.1±18.09µs     8.9 MB/sec
formatter/numpy/globals.py                 1.03    197.0±3.39µs    15.0 MB/sec    1.00    191.4±3.45µs    15.4 MB/sec
formatter/pydantic/types.py                1.05      4.4±0.03ms     5.8 MB/sec    1.00      4.2±0.10ms     6.1 MB/sec
linter/all-rules/large/dataset.py          1.00     12.6±0.14ms     3.2 MB/sec    1.00     12.6±0.19ms     3.2 MB/sec
linter/all-rules/numpy/ctypeslib.py        1.00      3.5±0.03ms     4.7 MB/sec    1.00      3.5±0.02ms     4.7 MB/sec
linter/all-rules/numpy/globals.py          1.01    366.8±5.68µs     8.0 MB/sec    1.00    362.5±7.92µs     8.1 MB/sec
linter/all-rules/pydantic/types.py         1.00      5.8±0.04ms     4.4 MB/sec    1.01      5.9±0.04ms     4.3 MB/sec
linter/default-rules/large/dataset.py      1.00      6.7±0.09ms     6.1 MB/sec    1.02      6.8±0.04ms     6.0 MB/sec
linter/default-rules/numpy/ctypeslib.py    1.00  1384.0±10.99µs    12.0 MB/sec    1.01  1391.7±15.61µs    12.0 MB/sec
linter/default-rules/numpy/globals.py      1.00    139.9±1.84µs    21.1 MB/sec    1.01    141.2±2.18µs    20.9 MB/sec
linter/default-rules/pydantic/types.py     1.00      3.0±0.07ms     8.5 MB/sec    1.01      3.0±0.02ms     8.4 MB/sec

@charliermarsh
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Does not remove the possibly unused type variable declaration. Presumably this is handled by other rules, but is not working for me.

We don't remove unused variables in the module scope, since they could be imported from other modules (i.e., they are part of the module's public API). (We only remove unused variables within function scopes.)

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zanieb commented Aug 3, 2023

We don't remove unused variables in the module scope, since they could be imported from other modules (i.e., they are part of the module's public API). (We only remove unused variables within function scopes.)

Ah that makes sense. We're pretty unlikely to ever remove these then. I don't think we should either, I've definitely imported them :D

@charliermarsh charliermarsh added the fixes Related to suggested fixes for violations label Aug 4, 2023
@zanieb zanieb force-pushed the rule/type-alias-generic branch from 2fffafb to bae9097 Compare August 7, 2023 19:45
fn visit_expr(&mut self, expr: &'a Expr) {
match expr {
Expr::Name(name) if name.ctx.is_load() => {
let Some(Stmt::Assign(StmtAssign { value, .. })) =
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Does this need to match AnnAssign too? No, right?

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I don't think so. At least, Pyright complains about

from typing import TypeVar

T: TypeVar = TypeVar("T")

@zanieb zanieb merged commit 90c9aa2 into main Aug 7, 2023
@zanieb zanieb deleted the rule/type-alias-generic branch August 7, 2023 21:22
durumu pushed a commit to durumu/ruff that referenced this pull request Aug 12, 2023
Extends astral-sh#6289 to support moving type variable usage in type aliases to
use PEP-695.

Does not remove the possibly unused type variable declaration.
Presumably this is handled by other rules, but is not working for me.

Does not handle type variables with bounds or variance declarations yet.

Part of astral-sh#4617
charliermarsh pushed a commit that referenced this pull request Sep 15, 2023
… type variables to UP040 (#6749)

## Summary

Extends UP040 to support moving type variables with
bounds/constraints/variance that are used in type aliases to use PEP-695
syntax.

Part of #4617.

## Test Plan

The existing tests added by #6314 already cover the relevant cases.
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