8000 ENH: change object-array comparisons to prefer OO->O unfuncs by mattip · Pull Request #14800 · numpy/numpy · GitHub
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ENH: change object-array comparisons to prefer OO->O unfuncs #14800

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Merged
merged 3 commits into from
Nov 5, 2019
Merged

ENH: change object-array comparisons to prefer OO->O unfuncs #14800

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647ea19
WIP, DEP, ENH: finish richcompare changes from 1.10
mattip Oct 29, 2019
5c77895
ENH: add OO->? loops, use np.compare(a, b, dtype=bool), add comments
mattip Oct 30, 2019
9aa8c47
DOC: add release note
mattip Oct 30, 2019
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WIP, DEP, ENH: finish richcompare changes from 1.10
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@mattip
mattip committed Oct 29, 2019
commit 647ea1908cc33eb2f9fb6c5828cfb895f8663cc0
20 changes: 9 additions & 11 deletions numpy/core/code_generators/generate_umath.py
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Expand Up @@ -226,7 +226,7 @@ def english_upper(s):
'P': 'OBJECT',
}

all = '?bBhHiIlLqQefdgFDGOMm'
noobj = '?bBhHiIlLqQefdgFDGmM'
O = 'O'
P = 'P'
ints = 'bBhHiIlLqQ'
Expand All @@ -246,10 +246,8 @@ def english_upper(s):
noint = inexact+O
nointP = inexact+P
allP = bints+times+flts+cmplxP
nobool = all[1:]
noobj = all[:-3]+all[-2:]
nobool_or_obj = all[1:-3]+all[-2:]
nobool_or_datetime = all[1:-2]+all[-1:]
nobool_or_obj = noobj[1:]
nobool_or_datetime = noobj[1:-1] + O # includes m - timedelta64
intflt = ints+flts
intfltcmplx = ints+flts+cmplx
nocmplx = bints+times+flts
Expand Down Expand Up @@ -431,42 +429,42 @@ def english_upper(s):
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.greater'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'greater_equal':
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.greater_equal'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'less':
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.less'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'less_equal':
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.less_equal'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'equal':
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.equal'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'not_equal':
Ufunc(2, 1, None,
docstrings.get('numpy.core.umath.not_equal'),
'PyUFunc_SimpleBinaryComparisonTypeResolver',
TD(all, out='?', simd=[('avx2', ints)]),
TD(noobj, out='?', simd=[('avx2', ints)]),
[TypeDescription('O', FullTypeDescr, 'OO', 'O')],
),
'logical_and':
Expand Down
5 changes: 3 additions & 2 deletions numpy/core/tests/test_deprecations.py
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Expand Up @@ -172,10 +172,11 @@ def test_normal_types(self):
# (warning is issued a couple of times here)
self.assert_deprecated(op, args=(a, a[:-1]), num=None)

# Element comparison error (numpy array can't be compared).
# ragged array comparison returns True/False
a = np.array([1, np.array([1,2,3])], dtype=object)
b = np.array([1, np.array([1,2,3])], dtype=object)
self.assert_deprecated(op, args=(a, b), num=None)
res = op(a, b)
assert res.dtype == 'object'
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This now returns an object array instead of deprecating.

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Suggested change
assert res.dtype == 'object'
assert res.dtype == object


def test_string(self):
# For two string arrays, strings always raised the broadcasting error:
Expand Down
10 changes: 6 additions & 4 deletions numpy/core/tests/test_umath.py
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Expand Up @@ -170,10 +170,11 @@ def __array_wrap__(self, arr, context):

class TestComparisons(object):
def test_ignore_object_identity_in_equal(self):
# Check error raised when comparing identical objects whose comparison
# Check comparing identical objects whose comparison
# is not a simple boolean, e.g., arrays that are compared elementwise.
a = np.array([np.array([1, 2, 3]), None], dtype=object)
assert_raises(ValueError, np.equal, a, a)
b = np.equal(a, a.copy())
assert b.shape == a.shape

# Check error raised when comparing identical non-comparable objects.
class FunkyType(object):
Expand All @@ -188,10 +189,11 @@ def __eq__(self, other):
assert_equal(np.equal(a, a), [False])

def test_ignore_object_identity_in_not_equal(self):
# Check error raised when comparing identical objects whose comparison
# Check comparing identical objects whose comparison
# is not a simple boolean, e.g., arrays that are compared elementwise.
a = np.array([np.array([1, 2, 3]), None], dtype=object)
assert_raises(ValueError, np.not_equal, a, a)
b = np.not_equal(a, a.copy())
assert b.shape == a.shape

# Check error raised when comparing identical non-comparable objects.
class FunkyType(object):
Expand Down
4 changes: 2 additions & 2 deletions numpy/lib/arraysetops.py
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Expand Up @@ -562,11 +562,11 @@ def in1d(ar1, ar2, assume_unique=False, invert=False):
if invert:
mask = np.ones(len(ar1), dtype=bool)
for a in ar2:
mask &= (ar1 != a)
mask &= (ar1 != a).astype(bool)
else:
mask = np.zeros(len(ar1), dtype=bool)
for a in ar2:
mask |= (ar1 == a)
mask |= (ar1 == a).astype(bool)
return mask

# Otherwise use sorting
Expand Down
2 changes: 1 addition & 1 deletion numpy/lib/nanfunctions.py
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Expand Up @@ -99,7 +99,7 @@ def _replace_nan(a, val):

if a.dtype == np.object_:
# object arrays do not support `isnan` (gh-9009), so make a guess
mask = a != a
mask = (a != a).astype(bool)
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xref gh-14802

elif issubclass(a.dtype.type, np.inexact):
mask = np.isnan(a)
else:
Expand Down
7 changes: 3 additions & 4 deletions numpy/linalg/tests/test_regression.py
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Expand Up @@ -109,10 +109,9 @@ def test_norm_object_array(self):
assert_raises(ValueError, linalg.norm, testvector, ord='nuc')
assert_raises(ValueError, linalg.norm, testvector, ord=np.inf)
assert_raises(ValueError, linalg.norm, testvector, ord=-np.inf)
with warnings.catch_warnings():
warnings.simplefilter("error", DeprecationWarning)
assert_raises((AttributeError, DeprecationWarning),
linalg.norm, testvector, ord=0)
# Succeeds, but returns boolean?
r = linalg.norm(testvector, ord=0)
assert_(r.dtype == np.type('float64'))
assert_raises(ValueError, linalg.norm, testvector, ord=-1)
assert_raises(ValueError, linalg.norm, testvector, ord=-2)

Expand Down
6 changes: 5 additions & 1 deletion numpy/ma/core.py
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Expand Up @@ -4790,7 +4790,11 @@ def all(self, axis=None, out=None, keepdims=np._NoValue):

mask = _check_mask_axis(self._mask, axis, **kwargs)
if out is None:
d = self.filled(True).all(axis=axis, **kwargs).view(type(self))
r = self.filled(True).all(axis=axis, **kwargs)
if isinstance(r, bool):
d = type(self)(r)
else:
d = r.view(type(self))
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since all is np.logical_and.reduce, the OO->O mapping reduces the output to a boolean scalar, which has no view.

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Alternatively, could pass keepdims=True, and then throw away the dimension at the end

if d.ndim:
d.__setmask__(mask)
elif mask:
Expand Down
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