Possible Solutions to Issues 26216, 25677, and 25589 #26276
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…pytest numpy/lib as a result of changing the original code
…s the failing test cases when running pytest numpy/ma
…test cases due to assertion errors for fill values when running pytest numpy/ma/tests/test_core.py
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A couple of quick things before people spend time on full reviews:
- These 3 issues appear to be unrelated. Please make a separate PR for each. It's hard to review when they are mashed together into one PR.
- We do not use triple-quoted strings for multiline comments. Please use
#comments. - When making comments, don't repeat what properly belongs in a git commit message/PR description. If the code needs a comment (most don't), describe what the current code is doing, not what you changed.
- Go ahead and delete unused code.
- Please add tests for the changed behavior (or modify the existing ones that now fail because of the changes, if indeed the change was intentional).
numpy/lib/_function_base_impl.py
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| if isinstance(a, list): | ||
| a = np.array(a) | ||
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| if a.size > 0 and len(a.shape) > 0 and all(isinstance(i, np.datetime64) for i in a): |
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This doesn't take into account any of the keepdims, axis, out or overwrite_input arguments.
numpy/ma/core.py
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| "int32": 2147483647, | ||
| "uint32": 4294967295, | ||
| "int64": 9223372036854775807, | ||
| "uint64": pow(2, 64) - 1, |
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I think all of the integer dtypes that can represent 999999 should retain that value. Otherwise, we'd have to change all of those tests that are now failing. Similarly, the floating point dtypes should retain the old value.
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Ok, thanks for letting me know. I reverted the int types back as follows:
default_filler = {'b': True, 'c': 1.e20 + 0.0j, "float16": 65504, "float32": 1.e20, "float64": 1.e20, "i": 999999, 'O': '?', 'S': b'N/A', 'V': b'???', 'U': 'N/A' }
However, float16 remains 65504 to avoid the inf value per the original issue (#25677).
Does this make sense?
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#25677 is still unresolved for the smaller integer types. Write out the unit tests that test for the behavior that you want. Demonstrate (to yourself) that they fail without your changes, then add your changes until the tests pass.
…ues back to 999999, and changed float32 and float64 values to 1.e20
…of code change from issue 25589
BUG: Bug fix to issue 26216 in numpy.lib._function_base_impl.py
Calculate the median date by sorting the list of np.datetime64 values and selecting either the middle value if the list has an odd length or the middle two values if the list has an even length.
If the list is odd, returns the middle date, and if the list is even, it calculates the average distance between the middle two dates, adding this average distance to the earlier middle date.
BUG: Bug fix to issue 25667 in numpy.ma.core.py
Added different custom fill values for different types of integers and floats.
Using str(dtype) acts as the key in the default_filler dictionary to retrieve the custom value. If this key does not exist in default_filler, then dtype.kind is used as the key instead.
BUG: Bug fix to issue 25589 in numpy.ma.core.py
Added shrink = False in the function call to mask_or() in the power() function to preserve the existing mask.