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Summary: As this diff shows, currently there are a couple hundred instances of raw `noqa` in the codebase, which just ignore all errors on a given line. That isn't great, so this PR changes all existing instances of that antipattern to qualify the `noqa` with respect to a specific error code, and adds a lint to prevent more of this from happening in the future. Interestingly, some of the examples the `noqa` lint catches are genuine attempts to qualify the `noqa` with a specific error code, such as these two: ``` test/jit/test_misc.py:27: print(f"{hello + ' ' + test}, I'm a {test}") # noqa E999 test/jit/test_misc.py:28: print(f"format blank") # noqa F541 ``` However, those are still wrong because they are [missing a colon](https://flake8.pycqa.org/en/3.9.1/user/violations.html#in-line-ignoring-errors), which actually causes the error code to be completely ignored: - If you change them to anything else, the warnings will still be suppressed. - If you add the necessary colons then it is revealed that `E261` was also being suppressed, unintentionally: ``` test/jit/test_misc.py:27:57: E261 at least two spaces before inline comment test/jit/test_misc.py:28:35: E261 at least two spaces before inline comment ``` I did try using [flake8-noqa](https://pypi.org/project/flake8-noqa/) instead of a custom `git grep` lint, but it didn't seem to work. This PR is definitely missing some of the functionality that flake8-noqa is supposed to provide, though, so if someone can figure out how to use it, we should do that instead. Pull Request resolved: https://github.com/pytorch/pytorch/pull/56272 Test Plan: CI should pass on the tip of this PR, and we know that the lint works because the following CI run (before this PR was finished) failed: - https://github.com/pytorch/pytorch/runs/2365189927 Reviewed By: janeyx99 Differential Revision: D27830127 Pulled By: samestep fbshipit-source-id: d6dcf4f945ebd18cd76c46a07f3b408296864fcb
6 lines
247 B
Python
6 lines
247 B
Python
# TODO (mingzhe09088): get rid of noqa
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import benchmark_runner # noqa: F401
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from benchmark_pytorch import TorchBenchmarkBase # noqa: F401
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from benchmark_test_generator import * # noqa: F401,F403
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from benchmark_utils import * # noqa: F401,F403
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