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Revert D30279364: [codemod][lint][fbcode/c*] Enable BLACK by default

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Test Plan: revert-hammer

Differential Revision:
D30279364 (b004307252)

Original commit changeset: c1ed77dfe43a

fbshipit-source-id: eab50857675c51e0088391af06ec0ecb14e2347e
This commit is contained in:
Shen Li
2021-08-12 11:39:31 -07:00
committed by Facebook GitHub Bot
parent ed0b8a3e83
commit 1022443168
188 changed files with 28697 additions and 56828 deletions
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28
test/test_typing.py
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@ -121,12 +121,12 @@ def test_fail(path):
)
if match is None:
raise ValueError(f"Unexpected error line format: {error_line}")
lineno = int(match.group("lineno"))
errors[lineno] += f"{error_line}\n"
lineno = int(match.group('lineno'))
errors[lineno] += f'{error_line}\n'
for i, line in enumerate(lines):
lineno = i + 1
if line.startswith("#") or (" E:" not in line and lineno not in errors):
if line.startswith('#') or (" E:" not in line and lineno not in errors):
continue
target_line = lines[lineno - 1]
@ -148,9 +148,7 @@ Observed error: {!r}
"""
def _test_fail(
path: str, error: str, expected_error: Optional[str], lineno: int
) -> None:
def _test_fail(path: str, error: str, expected_error: Optional[str], lineno: int) -> None:
if expected_error is None:
raise AssertionError(_FAIL_MSG1.format(lineno, error))
elif error not in expected_error:
@ -159,12 +157,12 @@ def _test_fail(
def _construct_format_dict():
dct = {
"ModuleList": "torch.nn.modules.container.ModuleList",
"AdaptiveAvgPool2d": "torch.nn.modules.pooling.AdaptiveAvgPool2d",
"AdaptiveMaxPool2d": "torch.nn.modules.pooling.AdaptiveMaxPool2d",
"Tensor": "torch._tensor.Tensor",
"Adagrad": "torch.optim.adagrad.Adagrad",
"Adam": "torch.optim.adam.Adam",
'ModuleList': 'torch.nn.modules.container.ModuleList',
'AdaptiveAvgPool2d': 'torch.nn.modules.pooling.AdaptiveAvgPool2d',
'AdaptiveMaxPool2d': 'torch.nn.modules.pooling.AdaptiveMaxPool2d',
'Tensor': 'torch._tensor.Tensor',
'Adagrad': 'torch.optim.adagrad.Adagrad',
'Adam': 'torch.optim.adam.Adam',
}
return dct
@ -183,9 +181,7 @@ def _parse_reveals(file: IO[str]) -> List[str]:
string = file.read().replace("*", "")
# Grab all `# E:`-based comments
comments_array = list(
map(lambda str: str.partition(" # E: ")[2], string.split("\n"))
)
comments_array = list(map(lambda str: str.partition(" # E: ")[2], string.split("\n")))
comments = "/n".join(comments_array)
# Only search for the `{*}` pattern within comments,
@ -235,5 +231,5 @@ def _test_reveal(path: str, reveal: str, expected_reveal: str, lineno: int) -> N
raise AssertionError(_REVEAL_MSG.format(lineno, expected_reveal, reveal))
if __name__ == "__main__":
if __name__ == '__main__':
pytest.main([__file__])