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Fixes for numpy 1.14.0 compatibility

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- UPDATEIFCOPY is deprecated, replaced with similar (but not identical)
  WRITEBACKIFCOPY; trying to access the flag causes a deprecation
  warning under numpy 1.14, so just check the new flag there.
- Numpy `repr` formatting of floats changed in 1.14.0 to `[1., 2., 3.]`
  instead of the pre-1.14 `[ 1.,  2.,  3.]`.  Updated the tests to
  check for equality with the `repr(...)` value rather than the
  hard-coded (and now version-dependent) string representation.
This commit is contained in:
Jason Rhinelander 2018-01-11 10:37:52 -04:00
parent 0826b3c106
commit 88efb25145
2 changed files with 11 additions and 9 deletions
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6
tests/test_eigen.py
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@ -181,8 +181,7 @@ def test_negative_stride_from_python(msg):
double_threer(): incompatible function arguments. The following argument types are supported:
1. (arg0: numpy.ndarray[float32[1, 3], flags.writeable]) -> None
Invoked with: array([ 5., 4., 3.], dtype=float32)
""" # noqa: E501 line too long
Invoked with: """ + repr(np.array([ 5., 4., 3.], dtype='float32')) # noqa: E501 line too long
with pytest.raises(TypeError) as excinfo:
m.double_threec(second_col)
@ -190,8 +189,7 @@ def test_negative_stride_from_python(msg):
double_threec(): incompatible function arguments. The following argument types are supported:
1. (arg0: numpy.ndarray[float32[3, 1], flags.writeable]) -> None
Invoked with: array([ 7., 4., 1.], dtype=float32)
""" # noqa: E501 line too long
Invoked with: """ + repr(np.array([ 7., 4., 1.], dtype='float32')) # noqa: E501 line too long
def test_nonunit_stride_to_python():

12
tests/test_numpy_array.py
View File

@ -137,6 +137,7 @@ def test_make_c_f_array():
def test_wrap():
def assert_references(a, b, base=None):
from distutils.version import LooseVersion
if base is None:
base = a
assert a is not b
@ -147,6 +148,9 @@ def test_wrap():
assert a.flags.f_contiguous == b.flags.f_contiguous
assert a.flags.writeable == b.flags.writeable
assert a.flags.aligned == b.flags.aligned
if LooseVersion(np.__version__) >= LooseVersion("1.14.0"):
assert a.flags.writebackifcopy == b.flags.writebackifcopy
else:
assert a.flags.updateifcopy == b.flags.updateifcopy
assert np.all(a == b)
assert not b.flags.owndata
@ -282,17 +286,17 @@ def test_overload_resolution(msg):
1. (arg0: numpy.ndarray[int32]) -> str
2. (arg0: numpy.ndarray[float64]) -> str
Invoked with:"""
Invoked with: """
with pytest.raises(TypeError) as excinfo:
m.overloaded3(np.array([1], dtype='uintc'))
assert msg(excinfo.value) == expected_exc + " array([1], dtype=uint32)"
assert msg(excinfo.value) == expected_exc + repr(np.array([1], dtype='uint32'))
with pytest.raises(TypeError) as excinfo:
m.overloaded3(np.array([1], dtype='float32'))
assert msg(excinfo.value) == expected_exc + " array([ 1.], dtype=float32)"
assert msg(excinfo.value) == expected_exc + repr(np.array([1.], dtype='float32'))
with pytest.raises(TypeError) as excinfo:
m.overloaded3(np.array([1], dtype='complex'))
assert msg(excinfo.value) == expected_exc + " array([ 1.+0.j])"
assert msg(excinfo.value) == expected_exc + repr(np.array([1. + 0.j]))
# Exact matches:
assert m.overloaded4(np.array([1], dtype='double')) == 'double'