8000 BUG: Fix broken pickle in MaskedArray when dtype is object (Return list instead of string when dtype is object) by raghavrv · Pull Request #8122 · numpy/numpy · GitHub
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BUG: Fix broken pickle in MaskedArray when dtype is object (Return list instead of string when dtype is object) #8122

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Oct 6, 2016
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Test for different masks
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raghavrv committed Oct 5, 2016
commit 2ed500288f9773f331fe59a7ba227a61c8693638
19 changes: 13 additions & 6 deletions numpy/ma/tests/test_core.py
Original file line number Diff line number Diff line change
Expand Up @@ -478,13 +478,20 @@ def test_pickling(self):
# Tests pickling
for dtype in (int, float, str, object):
a = arange(10).astype(dtype)
a[::3] = masked
a.fill_value = 999
a_pickled = pickle.loads(a.dumps())
assert_equal(a_pickled._mask, a._mask)
assert_equal(a_pickled._data, a._data)
if dtype is not object:
assert_equal(a_pickled.fill_value, dtype(999))

masks = ([0, 0, 0, 1, 0, 1, 0, 1, 0, 1], # partially masked
True, # Fully masked
False) # Fully unmasked

for mask in masks:
a.mask = mask
a_pickled = pickle.loads(a.dumps())
assert_equal(a_pickled._mask, a._mask)
assert_equal(a_pickled._data, a._data)
if dtype is not object:
assert_equal(a_pickled.fill_value, dtype(999))
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is there a reason not to test this for object?

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Thanks for the catch... I missed an else here :( Fixed it in the recent commit...

assert_array_equal(a_pickled.mask, mask)

def test_pickling_subbaseclass(self):
# Test pickling w/ a subclass of ndarray
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