CLN: test_nanops.py #49423
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CLN: test_nanops.py #49423
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mroeschke
added
Testing
phofl
reviewed
Nov 3, 2022
pandas/tests/test_nanops.py
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| ("arr_complex_nan_infj", True), | ||
| ], | ||
| ) | ||
| def test__has_infs_non_float(request, arr, correct, disable_bottleneck): |
pandas/tests/test_nanops.py
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| ], | ||
| ) | ||
| @pytest.mark.parametrize("astype", [None, "f4", "f2"]) | ||
| def test__has_infs_floats(request, arr, correct, astype, disable_bottleneck): |
pandas/tests/test_nanops.py
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|
|
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| @pytest.fixture | ||
| def arr_nan_float1(arr_nan, arr_float1): | ||
| return np.vstack([arr_nan, arr_float1]) |
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Couldn't we just copy arr_nan as the second entry, e.g.
@pytest.fixture
def arr_nan_float1(arr_nan):
return np.vstack([arr_nan, np.copy(arr_float)])
if you don't want to use the same object? Makes it a bit clearer. that the arrays have the same content.
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Good point. Since arr_float1 was was redundant to arr_float, just removed arr_float1
| arr_nan = np.take(arr_nan, 0, axis=-1) | ||
| arr_nan_nan = np.take(arr_nan_nan, 0, axis=-1) | ||
| arr_float_nan = np.take(arr_float_nan, 0, axis=-1) | ||
| arr_float1_nan = np.take(arr_float1_nan, 0, axis=-1) |
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Can we remove one of both lines? IIUC are_float_nan and arr_float1_nan have the same content
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I think these need to be separate objects for the test, but I was able to instantiate 2 separate objects with the same fixture
|
Hopefully addressed all the comments and green |
phofl
approved these changes
Nov 10, 2022
|
thx @mroeschke |
codamuse
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mliu08
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Nov 27, 2022
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Avoid
setup_methodbeing unnecessarily called on tests that don't require all the DataFrame/array objects that are being created