mirror of
https://github.com/pybind/pybind11.git
synced 2024-11-22 21:25:13 +00:00
496feacfd0
The current integer caster was unnecessarily strict and rejected various kinds of NumPy integer types when calling C++ functions expecting normal integers. This relaxes the current behavior.
248 lines
8.0 KiB
Python
248 lines
8.0 KiB
Python
import pytest
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import gc
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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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@pytest.requires_numpy
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def test_array_attributes():
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from pybind11_tests.array import (
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ndim, shape, strides, writeable, size, itemsize, nbytes, owndata
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)
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a = np.array(0, 'f8')
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assert ndim(a) == 0
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assert all(shape(a) == [])
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assert all(strides(a) == [])
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with pytest.raises(IndexError) as excinfo:
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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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strides(a, 0)
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assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
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assert writeable(a)
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assert size(a) == 1
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assert itemsize(a) == 8
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assert nbytes(a) == 8
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assert 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 ndim(a) == 2
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assert all(shape(a) == [2, 3])
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assert shape(a, 0) == 2
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assert shape(a, 1) == 3
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assert all(strides(a) == [6, 2])
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assert strides(a, 0) == 6
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assert strides(a, 1) == 2
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with pytest.raises(IndexError) as excinfo:
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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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strides(a, 2)
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assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
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assert not writeable(a)
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assert size(a) == 6
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assert itemsize(a) == 2
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assert nbytes(a) == 12
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assert not owndata(a)
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@pytest.requires_numpy
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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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from pybind11_tests.array import index_at, index_at_t, offset_at, offset_at_t
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assert index_at(arr, *args) == ret
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assert index_at_t(arr, *args) == ret
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assert offset_at(arr, *args) == ret * arr.dtype.itemsize
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assert offset_at_t(arr, *args) == ret * arr.dtype.itemsize
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@pytest.requires_numpy
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def test_dim_check_fail(arr):
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from pybind11_tests.array import (index_at, index_at_t, offset_at, offset_at_t, data, data_t,
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mutate_data, mutate_data_t)
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for func in (index_at, index_at_t, offset_at, offset_at_t, data, data_t,
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mutate_data, 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.requires_numpy
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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 pybind11_tests.array import data, data_t
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assert all(data_t(arr, *args) == ret)
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assert all(data(arr, *args)[::2] == ret)
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assert all(data(arr, *args)[1::2] == 0)
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@pytest.requires_numpy
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def test_mutate_readonly(arr):
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from pybind11_tests.array import mutate_data, mutate_data_t, mutate_at_t
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arr.flags.writeable = False
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for func, args in (mutate_data, ()), (mutate_data_t, ()), (mutate_at_t, (0, 0)):
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with pytest.raises(RuntimeError) 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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@pytest.requires_numpy
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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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from pybind11_tests.array import at_t, mutate_at_t
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for func in at_t, 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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@pytest.requires_numpy
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def test_at(arr):
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from pybind11_tests.array import at_t, mutate_at_t
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assert at_t(arr, 0, 2) == 3
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assert at_t(arr, 1, 0) == 4
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assert all(mutate_at_t(arr, 0, 2).ravel() == [1, 2, 4, 4, 5, 6])
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assert all(mutate_at_t(arr, 1, 0).ravel() == [1, 2, 4, 5, 5, 6])
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@pytest.requires_numpy
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def test_mutate_data(arr):
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from pybind11_tests.array import mutate_data, mutate_data_t
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assert all(mutate_data(arr).ravel() == [2, 4, 6, 8, 10, 12])
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assert all(mutate_data(arr).ravel() == [4, 8, 12, 16, 20, 24])
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assert all(mutate_data(arr, 1).ravel() == [4, 8, 12, 32, 40, 48])
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assert all(mutate_data(arr, 0, 1).ravel() == [4, 16, 24, 64, 80, 96])
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assert all(mutate_data(arr, 1, 2).ravel() == [4, 16, 24, 64, 80, 192])
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assert all(mutate_data_t(arr).ravel() == [5, 17, 25, 65, 81, 193])
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assert all(mutate_data_t(arr).ravel() == [6, 18, 26, 66, 82, 194])
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assert all(mutate_data_t(arr, 1).ravel() == [6, 18, 26, 67, 83, 195])
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assert all(mutate_data_t(arr, 0, 1).ravel() == [6, 19, 27, 68, 84, 196])
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assert all(mutate_data_t(arr, 1, 2).ravel() == [6, 19, 27, 68, 84, 197])
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@pytest.requires_numpy
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def test_bounds_check(arr):
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from pybind11_tests.array import (index_at, index_at_t, data, data_t,
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mutate_data, mutate_data_t, at_t, mutate_at_t)
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funcs = (index_at, index_at_t, data, data_t,
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mutate_data, mutate_data_t, at_t, mutate_at_t)
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for func in funcs:
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with pytest.raises(IndexError) as excinfo:
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index_at(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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index_at(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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@pytest.requires_numpy
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def test_make_c_f_array():
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from pybind11_tests.array import (
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make_c_array, make_f_array
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)
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assert make_c_array().flags.c_contiguous
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assert not make_c_array().flags.f_contiguous
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assert make_f_array().flags.f_contiguous
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assert not make_f_array().flags.c_contiguous
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@pytest.requires_numpy
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def test_wrap():
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from pybind11_tests.array import wrap
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def assert_references(A, B):
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assert A is not B
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assert A.__array_interface__['data'][0] == \
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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 A
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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 = 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 = 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 = 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 = wrap(A1)
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assert_references(A1, A2)
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A1 = A1.transpose()
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A2 = wrap(A1)
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assert_references(A1, A2)
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A1 = A1.diagonal()
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A2 = wrap(A1)
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assert_references(A1, A2)
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@pytest.requires_numpy
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def test_numpy_view(capture):
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from pybind11_tests.array import ArrayClass
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with capture:
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ac = 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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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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gc.collect()
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assert capture == """
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~ArrayClass()
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"""
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@pytest.requires_numpy
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def test_cast_numpy_int64_to_uint64():
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from pybind11_tests.array import function_taking_uint64
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function_taking_uint64(123)
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function_taking_uint64(np.uint64(123))
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