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Fixes for numpy 1.14.0 compatibility
- 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.
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@ -181,8 +181,7 @@ def test_negative_stride_from_python(msg):
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double_threer(): incompatible function arguments. The following argument types are supported:
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double_threer(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[float32[1, 3], flags.writeable]) -> None
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1. (arg0: numpy.ndarray[float32[1, 3], flags.writeable]) -> None
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Invoked with: array([ 5., 4., 3.], dtype=float32)
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Invoked with: """ + repr(np.array([ 5., 4., 3.], dtype='float32')) # noqa: E501 line too long
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""" # noqa: E501 line too long
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with pytest.raises(TypeError) as excinfo:
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with pytest.raises(TypeError) as excinfo:
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m.double_threec(second_col)
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m.double_threec(second_col)
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@ -190,8 +189,7 @@ def test_negative_stride_from_python(msg):
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double_threec(): incompatible function arguments. The following argument types are supported:
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double_threec(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[float32[3, 1], flags.writeable]) -> None
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1. (arg0: numpy.ndarray[float32[3, 1], flags.writeable]) -> None
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Invoked with: array([ 7., 4., 1.], dtype=float32)
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Invoked with: """ + repr(np.array([ 7., 4., 1.], dtype='float32')) # noqa: E501 line too long
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""" # noqa: E501 line too long
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def test_nonunit_stride_to_python():
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def test_nonunit_stride_to_python():
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@ -137,6 +137,7 @@ def test_make_c_f_array():
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def test_wrap():
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def test_wrap():
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def assert_references(a, b, base=None):
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def assert_references(a, b, base=None):
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from distutils.version import LooseVersion
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if base is None:
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if base is None:
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base = a
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base = a
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assert a is not b
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assert a is not b
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@ -147,7 +148,10 @@ def test_wrap():
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assert a.flags.f_contiguous == b.flags.f_contiguous
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assert a.flags.f_contiguous == b.flags.f_contiguous
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assert a.flags.writeable == b.flags.writeable
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assert a.flags.writeable == b.flags.writeable
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assert a.flags.aligned == b.flags.aligned
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assert a.flags.aligned == b.flags.aligned
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assert a.flags.updateifcopy == b.flags.updateifcopy
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if LooseVersion(np.__version__) >= LooseVersion("1.14.0"):
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assert a.flags.writebackifcopy == b.flags.writebackifcopy
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else:
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assert a.flags.updateifcopy == b.flags.updateifcopy
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assert np.all(a == b)
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assert np.all(a == b)
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assert not b.flags.owndata
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assert not b.flags.owndata
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assert b.base is base
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assert b.base is base
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@ -282,17 +286,17 @@ def test_overload_resolution(msg):
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1. (arg0: numpy.ndarray[int32]) -> str
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1. (arg0: numpy.ndarray[int32]) -> str
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2. (arg0: numpy.ndarray[float64]) -> str
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2. (arg0: numpy.ndarray[float64]) -> str
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Invoked with:"""
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Invoked with: """
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with pytest.raises(TypeError) as excinfo:
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with pytest.raises(TypeError) as excinfo:
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m.overloaded3(np.array([1], dtype='uintc'))
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m.overloaded3(np.array([1], dtype='uintc'))
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assert msg(excinfo.value) == expected_exc + " array([1], dtype=uint32)"
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assert msg(excinfo.value) == expected_exc + repr(np.array([1], dtype='uint32'))
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with pytest.raises(TypeError) as excinfo:
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with pytest.raises(TypeError) as excinfo:
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m.overloaded3(np.array([1], dtype='float32'))
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m.overloaded3(np.array([1], dtype='float32'))
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assert msg(excinfo.value) == expected_exc + " array([ 1.], dtype=float32)"
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assert msg(excinfo.value) == expected_exc + repr(np.array([1.], dtype='float32'))
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with pytest.raises(TypeError) as excinfo:
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with pytest.raises(TypeError) as excinfo:
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m.overloaded3(np.array([1], dtype='complex'))
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m.overloaded3(np.array([1], dtype='complex'))
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assert msg(excinfo.value) == expected_exc + " array([ 1.+0.j])"
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assert msg(excinfo.value) == expected_exc + repr(np.array([1. + 0.j]))
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# Exact matches:
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# Exact matches:
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assert m.overloaded4(np.array([1], dtype='double')) == 'double'
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assert m.overloaded4(np.array([1], dtype='double')) == 'double'
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