numpy / numpy/numpy

`MaskedArray`s still share mask on copy

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component: numpy.ma
Dominant language
Python
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Description

There seems to be a bug where MaskedArrays will still have their sharedmask flag set after copying. However, the mask is no longer shared as a copy has been made. A brief code example below demonstrates the problem.

import numpy as np

a = np.zeros((2,3))
a = np.ma.masked_array(a, np.ma.getmaskarray(a))

b = a[...]
assert b.mask.base is a.mask
assert b.sharedmask

b = b.copy()
assert b.mask.base is not a.mask
assert not b.sharedmask                # Assertion fails.

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First steps

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Research direction

Reproduce the failure using the Python example in the issue, then trace the MaskedArray copy path and its sharedmask handling. Add a regression test for the shown assertions and verify that copying leaves the mask unshared and sharedmask unset.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
45/100

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