mirror of
https://github.com/pybind/pybind11.git
synced 2024-11-14 09:34:46 +00:00
391c75447d
This udpates all the remaining tests to the new test suite code and comment styles started in #898. For the most part, the test coverage here is unchanged, with a few minor exceptions as noted below. - test_constants_and_functions: this adds more overload tests with overloads with different number of arguments for more comprehensive overload_cast testing. The test style conversion broke the overload tests under MSVC 2015, prompting the additional tests while looking for a workaround. - test_eigen: this dropped the unused functions `get_cm_corners` and `get_cm_corners_const`--these same tests were duplicates of the same things provided (and used) via ReturnTester methods. - test_opaque_types: this test had a hidden dependence on ExampleMandA which is now fixed by using the global UserType which suffices for the relevant test. - test_methods_and_attributes: this required some additions to UserType to make it usable as a replacement for the test's previous SimpleType: UserType gained a value mutator, and the `value` property is not mutable (it was previously readonly). Some overload tests were also added to better test overload_cast (as described above). - test_numpy_array: removed the untemplated mutate_data/mutate_data_t: the templated versions with an empty parameter pack expand to the same thing. - test_stl: this was already mostly in the new style; this just tweaks things a bit, localizing a class, and adding some missing `// test_whatever` comments. - test_virtual_functions: like `test_stl`, this was mostly in the new test style already, but needed some `// test_whatever` comments. This commit also moves the inherited virtual example code to the end of the file, after the main set of tests (since it is less important than the other tests, and rather length); it also got renamed to `test_inherited_virtuals` (from `test_inheriting_repeat`) because it tests both inherited virtual approaches, not just the repeat approach.
403 lines
14 KiB
Python
403 lines
14 KiB
Python
import pytest
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from pybind11_tests import numpy_array as m
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pytestmark = pytest.requires_numpy
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with pytest.suppress(ImportError):
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import numpy as np
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@pytest.fixture(scope='function')
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def arr():
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return np.array([[1, 2, 3], [4, 5, 6]], '=u2')
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def test_array_attributes():
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a = np.array(0, 'f8')
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assert m.ndim(a) == 0
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assert all(m.shape(a) == [])
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assert all(m.strides(a) == [])
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with pytest.raises(IndexError) as excinfo:
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m.shape(a, 0)
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assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
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with pytest.raises(IndexError) as excinfo:
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m.strides(a, 0)
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assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
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assert m.writeable(a)
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assert m.size(a) == 1
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assert m.itemsize(a) == 8
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assert m.nbytes(a) == 8
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assert m.owndata(a)
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a = np.array([[1, 2, 3], [4, 5, 6]], 'u2').view()
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a.flags.writeable = False
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assert m.ndim(a) == 2
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assert all(m.shape(a) == [2, 3])
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assert m.shape(a, 0) == 2
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assert m.shape(a, 1) == 3
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assert all(m.strides(a) == [6, 2])
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assert m.strides(a, 0) == 6
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assert m.strides(a, 1) == 2
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with pytest.raises(IndexError) as excinfo:
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m.shape(a, 2)
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assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
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with pytest.raises(IndexError) as excinfo:
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m.strides(a, 2)
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assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
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assert not m.writeable(a)
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assert m.size(a) == 6
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assert m.itemsize(a) == 2
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assert m.nbytes(a) == 12
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assert not m.owndata(a)
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@pytest.mark.parametrize('args, ret', [([], 0), ([0], 0), ([1], 3), ([0, 1], 1), ([1, 2], 5)])
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def test_index_offset(arr, args, ret):
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assert m.index_at(arr, *args) == ret
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assert m.index_at_t(arr, *args) == ret
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assert m.offset_at(arr, *args) == ret * arr.dtype.itemsize
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assert m.offset_at_t(arr, *args) == ret * arr.dtype.itemsize
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def test_dim_check_fail(arr):
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for func in (m.index_at, m.index_at_t, m.offset_at, m.offset_at_t, m.data, m.data_t,
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m.mutate_data, m.mutate_data_t):
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with pytest.raises(IndexError) as excinfo:
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func(arr, 1, 2, 3)
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assert str(excinfo.value) == 'too many indices for an array: 3 (ndim = 2)'
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@pytest.mark.parametrize('args, ret',
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[([], [1, 2, 3, 4, 5, 6]),
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([1], [4, 5, 6]),
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([0, 1], [2, 3, 4, 5, 6]),
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([1, 2], [6])])
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def test_data(arr, args, ret):
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from sys import byteorder
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assert all(m.data_t(arr, *args) == ret)
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assert all(m.data(arr, *args)[(0 if byteorder == 'little' else 1)::2] == ret)
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assert all(m.data(arr, *args)[(1 if byteorder == 'little' else 0)::2] == 0)
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@pytest.mark.parametrize('dim', [0, 1, 3])
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def test_at_fail(arr, dim):
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for func in m.at_t, m.mutate_at_t:
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with pytest.raises(IndexError) as excinfo:
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func(arr, *([0] * dim))
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assert str(excinfo.value) == 'index dimension mismatch: {} (ndim = 2)'.format(dim)
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def test_at(arr):
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assert m.at_t(arr, 0, 2) == 3
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assert m.at_t(arr, 1, 0) == 4
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assert all(m.mutate_at_t(arr, 0, 2).ravel() == [1, 2, 4, 4, 5, 6])
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assert all(m.mutate_at_t(arr, 1, 0).ravel() == [1, 2, 4, 5, 5, 6])
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def test_mutate_readonly(arr):
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arr.flags.writeable = False
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for func, args in (m.mutate_data, ()), (m.mutate_data_t, ()), (m.mutate_at_t, (0, 0)):
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with pytest.raises(ValueError) as excinfo:
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func(arr, *args)
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assert str(excinfo.value) == 'array is not writeable'
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def test_mutate_data(arr):
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assert all(m.mutate_data(arr).ravel() == [2, 4, 6, 8, 10, 12])
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assert all(m.mutate_data(arr).ravel() == [4, 8, 12, 16, 20, 24])
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assert all(m.mutate_data(arr, 1).ravel() == [4, 8, 12, 32, 40, 48])
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assert all(m.mutate_data(arr, 0, 1).ravel() == [4, 16, 24, 64, 80, 96])
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assert all(m.mutate_data(arr, 1, 2).ravel() == [4, 16, 24, 64, 80, 192])
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assert all(m.mutate_data_t(arr).ravel() == [5, 17, 25, 65, 81, 193])
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assert all(m.mutate_data_t(arr).ravel() == [6, 18, 26, 66, 82, 194])
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assert all(m.mutate_data_t(arr, 1).ravel() == [6, 18, 26, 67, 83, 195])
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assert all(m.mutate_data_t(arr, 0, 1).ravel() == [6, 19, 27, 68, 84, 196])
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assert all(m.mutate_data_t(arr, 1, 2).ravel() == [6, 19, 27, 68, 84, 197])
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def test_bounds_check(arr):
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for func in (m.index_at, m.index_at_t, m.data, m.data_t,
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m.mutate_data, m.mutate_data_t, m.at_t, m.mutate_at_t):
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with pytest.raises(IndexError) as excinfo:
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func(arr, 2, 0)
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assert str(excinfo.value) == 'index 2 is out of bounds for axis 0 with size 2'
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with pytest.raises(IndexError) as excinfo:
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func(arr, 0, 4)
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assert str(excinfo.value) == 'index 4 is out of bounds for axis 1 with size 3'
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def test_make_c_f_array():
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assert m.make_c_array().flags.c_contiguous
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assert not m.make_c_array().flags.f_contiguous
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assert m.make_f_array().flags.f_contiguous
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assert not m.make_f_array().flags.c_contiguous
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def test_wrap():
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def assert_references(a, b, base=None):
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if base is None:
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base = a
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assert a is not b
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assert a.__array_interface__['data'][0] == b.__array_interface__['data'][0]
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assert a.shape == b.shape
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assert a.strides == b.strides
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assert a.flags.c_contiguous == b.flags.c_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.aligned == b.flags.aligned
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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 not b.flags.owndata
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assert b.base is base
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if a.flags.writeable and a.ndim == 2:
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a[0, 0] = 1234
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assert b[0, 0] == 1234
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a1 = np.array([1, 2], dtype=np.int16)
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assert a1.flags.owndata and a1.base is None
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a2 = m.wrap(a1)
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assert_references(a1, a2)
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a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='F')
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assert a1.flags.owndata and a1.base is None
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a2 = m.wrap(a1)
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assert_references(a1, a2)
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a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='C')
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a1.flags.writeable = False
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a2 = m.wrap(a1)
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assert_references(a1, a2)
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a1 = np.random.random((4, 4, 4))
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a2 = m.wrap(a1)
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assert_references(a1, a2)
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a1t = a1.transpose()
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a2 = m.wrap(a1t)
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assert_references(a1t, a2, a1)
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a1d = a1.diagonal()
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a2 = m.wrap(a1d)
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assert_references(a1d, a2, a1)
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a1m = a1[::-1, ::-1, ::-1]
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a2 = m.wrap(a1m)
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assert_references(a1m, a2, a1)
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def test_numpy_view(capture):
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with capture:
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ac = m.ArrayClass()
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ac_view_1 = ac.numpy_view()
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ac_view_2 = ac.numpy_view()
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assert np.all(ac_view_1 == np.array([1, 2], dtype=np.int32))
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del ac
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pytest.gc_collect()
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assert capture == """
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ArrayClass()
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ArrayClass::numpy_view()
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ArrayClass::numpy_view()
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"""
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ac_view_1[0] = 4
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ac_view_1[1] = 3
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assert ac_view_2[0] == 4
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assert ac_view_2[1] == 3
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with capture:
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del ac_view_1
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del ac_view_2
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pytest.gc_collect()
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pytest.gc_collect()
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assert capture == """
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~ArrayClass()
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"""
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@pytest.unsupported_on_pypy
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def test_cast_numpy_int64_to_uint64():
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m.function_taking_uint64(123)
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m.function_taking_uint64(np.uint64(123))
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def test_isinstance():
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assert m.isinstance_untyped(np.array([1, 2, 3]), "not an array")
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assert m.isinstance_typed(np.array([1.0, 2.0, 3.0]))
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def test_constructors():
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defaults = m.default_constructors()
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for a in defaults.values():
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assert a.size == 0
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assert defaults["array"].dtype == np.array([]).dtype
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assert defaults["array_t<int32>"].dtype == np.int32
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assert defaults["array_t<double>"].dtype == np.float64
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results = m.converting_constructors([1, 2, 3])
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for a in results.values():
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np.testing.assert_array_equal(a, [1, 2, 3])
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assert results["array"].dtype == np.int_
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assert results["array_t<int32>"].dtype == np.int32
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assert results["array_t<double>"].dtype == np.float64
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def test_overload_resolution(msg):
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# Exact overload matches:
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assert m.overloaded(np.array([1], dtype='float64')) == 'double'
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assert m.overloaded(np.array([1], dtype='float32')) == 'float'
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assert m.overloaded(np.array([1], dtype='ushort')) == 'unsigned short'
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assert m.overloaded(np.array([1], dtype='intc')) == 'int'
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assert m.overloaded(np.array([1], dtype='longlong')) == 'long long'
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assert m.overloaded(np.array([1], dtype='complex')) == 'double complex'
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assert m.overloaded(np.array([1], dtype='csingle')) == 'float complex'
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# No exact match, should call first convertible version:
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assert m.overloaded(np.array([1], dtype='uint8')) == 'double'
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with pytest.raises(TypeError) as excinfo:
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m.overloaded("not an array")
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assert msg(excinfo.value) == """
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overloaded(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[float64]) -> str
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2. (arg0: numpy.ndarray[float32]) -> str
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3. (arg0: numpy.ndarray[int32]) -> str
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4. (arg0: numpy.ndarray[uint16]) -> str
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5. (arg0: numpy.ndarray[int64]) -> str
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6. (arg0: numpy.ndarray[complex128]) -> str
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7. (arg0: numpy.ndarray[complex64]) -> str
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Invoked with: 'not an array'
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"""
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assert m.overloaded2(np.array([1], dtype='float64')) == 'double'
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assert m.overloaded2(np.array([1], dtype='float32')) == 'float'
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assert m.overloaded2(np.array([1], dtype='complex64')) == 'float complex'
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assert m.overloaded2(np.array([1], dtype='complex128')) == 'double complex'
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assert m.overloaded2(np.array([1], dtype='float32')) == 'float'
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assert m.overloaded3(np.array([1], dtype='float64')) == 'double'
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assert m.overloaded3(np.array([1], dtype='intc')) == 'int'
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expected_exc = """
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overloaded3(): incompatible function arguments. The following argument types are supported:
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1. (arg0: numpy.ndarray[int32]) -> str
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2. (arg0: numpy.ndarray[float64]) -> str
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Invoked with:"""
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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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assert msg(excinfo.value) == expected_exc + " array([1], dtype=uint32)"
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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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assert msg(excinfo.value) == expected_exc + " array([ 1.], dtype=float32)"
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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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assert msg(excinfo.value) == expected_exc + " array([ 1.+0.j])"
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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='longlong')) == 'long long'
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# Non-exact matches requiring conversion. Since float to integer isn't a
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# save conversion, it should go to the double overload, but short can go to
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# either (and so should end up on the first-registered, the long long).
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assert m.overloaded4(np.array([1], dtype='float32')) == 'double'
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assert m.overloaded4(np.array([1], dtype='short')) == 'long long'
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assert m.overloaded5(np.array([1], dtype='double')) == 'double'
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assert m.overloaded5(np.array([1], dtype='uintc')) == 'unsigned int'
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assert m.overloaded5(np.array([1], dtype='float32')) == 'unsigned int'
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def test_greedy_string_overload():
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"""Tests fix for #685 - ndarray shouldn't go to std::string overload"""
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assert m.issue685("abc") == "string"
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assert m.issue685(np.array([97, 98, 99], dtype='b')) == "array"
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assert m.issue685(123) == "other"
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def test_array_unchecked_fixed_dims(msg):
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z1 = np.array([[1, 2], [3, 4]], dtype='float64')
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m.proxy_add2(z1, 10)
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assert np.all(z1 == [[11, 12], [13, 14]])
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with pytest.raises(ValueError) as excinfo:
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m.proxy_add2(np.array([1., 2, 3]), 5.0)
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assert msg(excinfo.value) == "array has incorrect number of dimensions: 1; expected 2"
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expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
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assert np.all(m.proxy_init3(3.0) == expect_c)
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expect_f = np.transpose(expect_c)
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assert np.all(m.proxy_init3F(3.0) == expect_f)
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assert m.proxy_squared_L2_norm(np.array(range(6))) == 55
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assert m.proxy_squared_L2_norm(np.array(range(6), dtype="float64")) == 55
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assert m.proxy_auxiliaries2(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
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assert m.proxy_auxiliaries2(z1) == m.array_auxiliaries2(z1)
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def test_array_unchecked_dyn_dims(msg):
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z1 = np.array([[1, 2], [3, 4]], dtype='float64')
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m.proxy_add2_dyn(z1, 10)
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assert np.all(z1 == [[11, 12], [13, 14]])
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expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
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assert np.all(m.proxy_init3_dyn(3.0) == expect_c)
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assert m.proxy_auxiliaries2_dyn(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
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assert m.proxy_auxiliaries2_dyn(z1) == m.array_auxiliaries2(z1)
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def test_array_failure():
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with pytest.raises(ValueError) as excinfo:
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m.array_fail_test()
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assert str(excinfo.value) == 'cannot create a pybind11::array from a nullptr'
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with pytest.raises(ValueError) as excinfo:
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m.array_t_fail_test()
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assert str(excinfo.value) == 'cannot create a pybind11::array_t from a nullptr'
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with pytest.raises(ValueError) as excinfo:
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m.array_fail_test_negative_size()
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assert str(excinfo.value) == 'negative dimensions are not allowed'
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def test_initializer_list():
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assert m.array_initializer_list1().shape == (1,)
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assert m.array_initializer_list2().shape == (1, 2)
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assert m.array_initializer_list3().shape == (1, 2, 3)
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assert m.array_initializer_list4().shape == (1, 2, 3, 4)
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def test_array_resize(msg):
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a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='float64')
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m.array_reshape2(a)
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assert(a.size == 9)
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assert(np.all(a == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]))
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# total size change should succced with refcheck off
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m.array_resize3(a, 4, False)
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assert(a.size == 64)
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# ... and fail with refcheck on
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try:
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m.array_resize3(a, 3, True)
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except ValueError as e:
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assert(str(e).startswith("cannot resize an array"))
|
|
# transposed array doesn't own data
|
|
b = a.transpose()
|
|
try:
|
|
m.array_resize3(b, 3, False)
|
|
except ValueError as e:
|
|
assert(str(e).startswith("cannot resize this array: it does not own its data"))
|
|
# ... but reshape should be fine
|
|
m.array_reshape2(b)
|
|
assert(b.shape == (8, 8))
|
|
|
|
|
|
@pytest.unsupported_on_pypy
|
|
def test_array_create_and_resize(msg):
|
|
a = m.create_and_resize(2)
|
|
assert(a.size == 4)
|
|
assert(np.all(a == 42.))
|