ext/pybind11/tests/test_numpy_array.py - testing/jenkins-gem5-prod - Git at Google

 import pytest
 from pybind11_tests import numpy_array as m

 pytestmark = pytest.requires_numpy

 with pytest.suppress(ImportError):
     import numpy as np


 @pytest.fixture(scope='function')
 def arr():
     return np.array([[1, 2, 3], [4, 5, 6]], '=u2')


 def test_array_attributes():
     a = np.array(0, 'f8')
     assert m.ndim(a) == 0
     assert all(m.shape(a) == [])
     assert all(m.strides(a) == [])
     with pytest.raises(IndexError) as excinfo:
         m.shape(a, 0)
     assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
     with pytest.raises(IndexError) as excinfo:
         m.strides(a, 0)
     assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
     assert m.writeable(a)
     assert m.size(a) == 1
     assert m.itemsize(a) == 8
     assert m.nbytes(a) == 8
     assert m.owndata(a)

     a = np.array([[1, 2, 3], [4, 5, 6]], 'u2').view()
     a.flags.writeable = False
     assert m.ndim(a) == 2
     assert all(m.shape(a) == [2, 3])
     assert m.shape(a, 0) == 2
     assert m.shape(a, 1) == 3
     assert all(m.strides(a) == [6, 2])
     assert m.strides(a, 0) == 6
     assert m.strides(a, 1) == 2
     with pytest.raises(IndexError) as excinfo:
         m.shape(a, 2)
     assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
     with pytest.raises(IndexError) as excinfo:
         m.strides(a, 2)
     assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
     assert not m.writeable(a)
     assert m.size(a) == 6
     assert m.itemsize(a) == 2
     assert m.nbytes(a) == 12
     assert not m.owndata(a)


 @pytest.mark.parametrize('args, ret', [([], 0), ([0], 0), ([1], 3), ([0, 1], 1), ([1, 2], 5)])
 def test_index_offset(arr, args, ret):
     assert m.index_at(arr, *args) == ret
     assert m.index_at_t(arr, *args) == ret
     assert m.offset_at(arr, *args) == ret * arr.dtype.itemsize
     assert m.offset_at_t(arr, *args) == ret * arr.dtype.itemsize


 def test_dim_check_fail(arr):
     for func in (m.index_at, m.index_at_t, m.offset_at, m.offset_at_t, m.data, m.data_t,
                  m.mutate_data, m.mutate_data_t):
         with pytest.raises(IndexError) as excinfo:
             func(arr, 1, 2, 3)
         assert str(excinfo.value) == 'too many indices for an array: 3 (ndim = 2)'


 @pytest.mark.parametrize('args, ret',
                          [([], [1, 2, 3, 4, 5, 6]),
                           ([1], [4, 5, 6]),
                           ([0, 1], [2, 3, 4, 5, 6]),
                           ([1, 2], [6])])
 def test_data(arr, args, ret):
     from sys import byteorder
     assert all(m.data_t(arr, *args) == ret)
     assert all(m.data(arr, *args)[(0 if byteorder == 'little' else 1)::2] == ret)
     assert all(m.data(arr, *args)[(1 if byteorder == 'little' else 0)::2] == 0)


 @pytest.mark.parametrize('dim', [0, 1, 3])
 def test_at_fail(arr, dim):
     for func in m.at_t, m.mutate_at_t:
         with pytest.raises(IndexError) as excinfo:
             func(arr, *([0] * dim))
         assert str(excinfo.value) == 'index dimension mismatch: {} (ndim = 2)'.format(dim)


 def test_at(arr):
     assert m.at_t(arr, 0, 2) == 3
     assert m.at_t(arr, 1, 0) == 4

     assert all(m.mutate_at_t(arr, 0, 2).ravel() == [1, 2, 4, 4, 5, 6])
     assert all(m.mutate_at_t(arr, 1, 0).ravel() == [1, 2, 4, 5, 5, 6])


 def test_mutate_readonly(arr):
     arr.flags.writeable = False
     for func, args in (m.mutate_data, ()), (m.mutate_data_t, ()), (m.mutate_at_t, (0, 0)):
         with pytest.raises(ValueError) as excinfo:
             func(arr, *args)
         assert str(excinfo.value) == 'array is not writeable'


 def test_mutate_data(arr):
     assert all(m.mutate_data(arr).ravel() == [2, 4, 6, 8, 10, 12])
     assert all(m.mutate_data(arr).ravel() == [4, 8, 12, 16, 20, 24])
     assert all(m.mutate_data(arr, 1).ravel() == [4, 8, 12, 32, 40, 48])
     assert all(m.mutate_data(arr, 0, 1).ravel() == [4, 16, 24, 64, 80, 96])
     assert all(m.mutate_data(arr, 1, 2).ravel() == [4, 16, 24, 64, 80, 192])

     assert all(m.mutate_data_t(arr).ravel() == [5, 17, 25, 65, 81, 193])
     assert all(m.mutate_data_t(arr).ravel() == [6, 18, 26, 66, 82, 194])
     assert all(m.mutate_data_t(arr, 1).ravel() == [6, 18, 26, 67, 83, 195])
     assert all(m.mutate_data_t(arr, 0, 1).ravel() == [6, 19, 27, 68, 84, 196])
     assert all(m.mutate_data_t(arr, 1, 2).ravel() == [6, 19, 27, 68, 84, 197])


 def test_bounds_check(arr):
     for func in (m.index_at, m.index_at_t, m.data, m.data_t,
                  m.mutate_data, m.mutate_data_t, m.at_t, m.mutate_at_t):
         with pytest.raises(IndexError) as excinfo:
             func(arr, 2, 0)
         assert str(excinfo.value) == 'index 2 is out of bounds for axis 0 with size 2'
         with pytest.raises(IndexError) as excinfo:
             func(arr, 0, 4)
         assert str(excinfo.value) == 'index 4 is out of bounds for axis 1 with size 3'


 def test_make_c_f_array():
     assert m.make_c_array().flags.c_contiguous
     assert not m.make_c_array().flags.f_contiguous
     assert m.make_f_array().flags.f_contiguous
     assert not m.make_f_array().flags.c_contiguous


 def test_wrap():
     def assert_references(a, b, base=None):
         if base is None:
             base = a
         assert a is not b
         assert a.__array_interface__['data'][0] == b.__array_interface__['data'][0]
         assert a.shape == b.shape
         assert a.strides == b.strides
         assert a.flags.c_contiguous == b.flags.c_contiguous
         assert a.flags.f_contiguous == b.flags.f_contiguous
         assert a.flags.writeable == b.flags.writeable
         assert a.flags.aligned == b.flags.aligned
         assert a.flags.updateifcopy == b.flags.updateifcopy
         assert np.all(a == b)
         assert not b.flags.owndata
         assert b.base is base
         if a.flags.writeable and a.ndim == 2:
             a[0, 0] = 1234
             assert b[0, 0] == 1234

     a1 = np.array([1, 2], dtype=np.int16)
     assert a1.flags.owndata and a1.base is None
     a2 = m.wrap(a1)
     assert_references(a1, a2)

     a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='F')
     assert a1.flags.owndata and a1.base is None
     a2 = m.wrap(a1)
     assert_references(a1, a2)

     a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='C')
     a1.flags.writeable = False
     a2 = m.wrap(a1)
     assert_references(a1, a2)

     a1 = np.random.random((4, 4, 4))
     a2 = m.wrap(a1)
     assert_references(a1, a2)

     a1t = a1.transpose()
     a2 = m.wrap(a1t)
     assert_references(a1t, a2, a1)

     a1d = a1.diagonal()
     a2 = m.wrap(a1d)
     assert_references(a1d, a2, a1)

     a1m = a1[::-1, ::-1, ::-1]
     a2 = m.wrap(a1m)
     assert_references(a1m, a2, a1)


 def test_numpy_view(capture):
     with capture:
         ac = m.ArrayClass()
         ac_view_1 = ac.numpy_view()
         ac_view_2 = ac.numpy_view()
         assert np.all(ac_view_1 == np.array([1, 2], dtype=np.int32))
         del ac
         pytest.gc_collect()
     assert capture == """
         ArrayClass()
         ArrayClass::numpy_view()
         ArrayClass::numpy_view()
     """
     ac_view_1[0] = 4
     ac_view_1[1] = 3
     assert ac_view_2[0] == 4
     assert ac_view_2[1] == 3
     with capture:
         del ac_view_1
         del ac_view_2
         pytest.gc_collect()
         pytest.gc_collect()
     assert capture == """
         ~ArrayClass()
     """


 @pytest.unsupported_on_pypy
 def test_cast_numpy_int64_to_uint64():
     m.function_taking_uint64(123)
     m.function_taking_uint64(np.uint64(123))


 def test_isinstance():
     assert m.isinstance_untyped(np.array([1, 2, 3]), "not an array")
     assert m.isinstance_typed(np.array([1.0, 2.0, 3.0]))


 def test_constructors():
     defaults = m.default_constructors()
     for a in defaults.values():
         assert a.size == 0
     assert defaults["array"].dtype == np.array([]).dtype
     assert defaults["array_t<int32>"].dtype == np.int32
     assert defaults["array_t<double>"].dtype == np.float64

     results = m.converting_constructors([1, 2, 3])
     for a in results.values():
         np.testing.assert_array_equal(a, [1, 2, 3])
     assert results["array"].dtype == np.int_
     assert results["array_t<int32>"].dtype == np.int32
     assert results["array_t<double>"].dtype == np.float64


 def test_overload_resolution(msg):
     # Exact overload matches:
     assert m.overloaded(np.array([1], dtype='float64')) == 'double'
     assert m.overloaded(np.array([1], dtype='float32')) == 'float'
     assert m.overloaded(np.array([1], dtype='ushort')) == 'unsigned short'
     assert m.overloaded(np.array([1], dtype='intc')) == 'int'
     assert m.overloaded(np.array([1], dtype='longlong')) == 'long long'
     assert m.overloaded(np.array([1], dtype='complex')) == 'double complex'
     assert m.overloaded(np.array([1], dtype='csingle')) == 'float complex'

     # No exact match, should call first convertible version:
     assert m.overloaded(np.array([1], dtype='uint8')) == 'double'

     with pytest.raises(TypeError) as excinfo:
         m.overloaded("not an array")
     assert msg(excinfo.value) == """
         overloaded(): incompatible function arguments. The following argument types are supported:
             1. (arg0: numpy.ndarray[float64]) -> str
             2. (arg0: numpy.ndarray[float32]) -> str
             3. (arg0: numpy.ndarray[int32]) -> str
             4. (arg0: numpy.ndarray[uint16]) -> str
             5. (arg0: numpy.ndarray[int64]) -> str
             6. (arg0: numpy.ndarray[complex128]) -> str
             7. (arg0: numpy.ndarray[complex64]) -> str

         Invoked with: 'not an array'
     """

     assert m.overloaded2(np.array([1], dtype='float64')) == 'double'
     assert m.overloaded2(np.array([1], dtype='float32')) == 'float'
     assert m.overloaded2(np.array([1], dtype='complex64')) == 'float complex'
     assert m.overloaded2(np.array([1], dtype='complex128')) == 'double complex'
     assert m.overloaded2(np.array([1], dtype='float32')) == 'float'

     assert m.overloaded3(np.array([1], dtype='float64')) == 'double'
     assert m.overloaded3(np.array([1], dtype='intc')) == 'int'
     expected_exc = """
         overloaded3(): incompatible function arguments. The following argument types are supported:
             1. (arg0: numpy.ndarray[int32]) -> str
             2. (arg0: numpy.ndarray[float64]) -> str

         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)"
     with pytest.raises(TypeError) as excinfo:
         m.overloaded3(np.array([1], dtype='float32'))
     assert msg(excinfo.value) == expected_exc + " 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])"

     # Exact matches:
     assert m.overloaded4(np.array([1], dtype='double')) == 'double'
     assert m.overloaded4(np.array([1], dtype='longlong')) == 'long long'
     # Non-exact matches requiring conversion.  Since float to integer isn't a
     # save conversion, it should go to the double overload, but short can go to
     # either (and so should end up on the first-registered, the long long).
     assert m.overloaded4(np.array([1], dtype='float32')) == 'double'
     assert m.overloaded4(np.array([1], dtype='short')) == 'long long'

     assert m.overloaded5(np.array([1], dtype='double')) == 'double'
     assert m.overloaded5(np.array([1], dtype='uintc')) == 'unsigned int'
     assert m.overloaded5(np.array([1], dtype='float32')) == 'unsigned int'


 def test_greedy_string_overload():
     """Tests fix for #685 - ndarray shouldn't go to std::string overload"""

     assert m.issue685("abc") == "string"
     assert m.issue685(np.array([97, 98, 99], dtype='b')) == "array"
     assert m.issue685(123) == "other"


 def test_array_unchecked_fixed_dims(msg):
     z1 = np.array([[1, 2], [3, 4]], dtype='float64')
     m.proxy_add2(z1, 10)
     assert np.all(z1 == [[11, 12], [13, 14]])

     with pytest.raises(ValueError) as excinfo:
         m.proxy_add2(np.array([1., 2, 3]), 5.0)
     assert msg(excinfo.value) == "array has incorrect number of dimensions: 1; expected 2"

     expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
     assert np.all(m.proxy_init3(3.0) == expect_c)
     expect_f = np.transpose(expect_c)
     assert np.all(m.proxy_init3F(3.0) == expect_f)

     assert m.proxy_squared_L2_norm(np.array(range(6))) == 55
     assert m.proxy_squared_L2_norm(np.array(range(6), dtype="float64")) == 55

     assert m.proxy_auxiliaries2(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
     assert m.proxy_auxiliaries2(z1) == m.array_auxiliaries2(z1)


 def test_array_unchecked_dyn_dims(msg):
     z1 = np.array([[1, 2], [3, 4]], dtype='float64')
     m.proxy_add2_dyn(z1, 10)
     assert np.all(z1 == [[11, 12], [13, 14]])

     expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
     assert np.all(m.proxy_init3_dyn(3.0) == expect_c)

     assert m.proxy_auxiliaries2_dyn(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
     assert m.proxy_auxiliaries2_dyn(z1) == m.array_auxiliaries2(z1)


 def test_array_failure():
     with pytest.raises(ValueError) as excinfo:
         m.array_fail_test()
     assert str(excinfo.value) == 'cannot create a pybind11::array from a nullptr'

     with pytest.raises(ValueError) as excinfo:
         m.array_t_fail_test()
     assert str(excinfo.value) == 'cannot create a pybind11::array_t from a nullptr'

     with pytest.raises(ValueError) as excinfo:
         m.array_fail_test_negative_size()
     assert str(excinfo.value) == 'negative dimensions are not allowed'


 def test_initializer_list():
     assert m.array_initializer_list1().shape == (1,)
     assert m.array_initializer_list2().shape == (1, 2)
     assert m.array_initializer_list3().shape == (1, 2, 3)
     assert m.array_initializer_list4().shape == (1, 2, 3, 4)


 def test_array_resize(msg):
     a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='float64')
     m.array_reshape2(a)
     assert(a.size == 9)
     assert(np.all(a == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]))

     # total size change should succced with refcheck off
     m.array_resize3(a, 4, False)
     assert(a.size == 64)
     # ... and fail with refcheck on
     try:
         m.array_resize3(a, 3, True)
     except ValueError as e:
         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.))
	import pytest
	from pybind11_tests import numpy_array as m

	pytestmark = pytest.requires_numpy

	with pytest.suppress(ImportError):
	import numpy as np


	@pytest.fixture(scope='function')
	def arr():
	return np.array([[1, 2, 3], [4, 5, 6]], '=u2')


	def test_array_attributes():
	a = np.array(0, 'f8')
	assert m.ndim(a) == 0
	assert all(m.shape(a) == [])
	assert all(m.strides(a) == [])
	with pytest.raises(IndexError) as excinfo:
	m.shape(a, 0)
	assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
	with pytest.raises(IndexError) as excinfo:
	m.strides(a, 0)
	assert str(excinfo.value) == 'invalid axis: 0 (ndim = 0)'
	assert m.writeable(a)
	assert m.size(a) == 1
	assert m.itemsize(a) == 8
	assert m.nbytes(a) == 8
	assert m.owndata(a)

	a = np.array([[1, 2, 3], [4, 5, 6]], 'u2').view()
	a.flags.writeable = False
	assert m.ndim(a) == 2
	assert all(m.shape(a) == [2, 3])
	assert m.shape(a, 0) == 2
	assert m.shape(a, 1) == 3
	assert all(m.strides(a) == [6, 2])
	assert m.strides(a, 0) == 6
	assert m.strides(a, 1) == 2
	with pytest.raises(IndexError) as excinfo:
	m.shape(a, 2)
	assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
	with pytest.raises(IndexError) as excinfo:
	m.strides(a, 2)
	assert str(excinfo.value) == 'invalid axis: 2 (ndim = 2)'
	assert not m.writeable(a)
	assert m.size(a) == 6
	assert m.itemsize(a) == 2
	assert m.nbytes(a) == 12
	assert not m.owndata(a)


	@pytest.mark.parametrize('args, ret', [([], 0), ([0], 0), ([1], 3), ([0, 1], 1), ([1, 2], 5)])
	def test_index_offset(arr, args, ret):
	assert m.index_at(arr, *args) == ret
	assert m.index_at_t(arr, *args) == ret
	assert m.offset_at(arr, args) == ret arr.dtype.itemsize
	assert m.offset_at_t(arr, args) == ret arr.dtype.itemsize


	def test_dim_check_fail(arr):
	for func in (m.index_at, m.index_at_t, m.offset_at, m.offset_at_t, m.data, m.data_t,
	m.mutate_data, m.mutate_data_t):
	with pytest.raises(IndexError) as excinfo:
	func(arr, 1, 2, 3)
	assert str(excinfo.value) == 'too many indices for an array: 3 (ndim = 2)'


	@pytest.mark.parametrize('args, ret',
	[([], [1, 2, 3, 4, 5, 6]),
	([1], [4, 5, 6]),
	([0, 1], [2, 3, 4, 5, 6]),
	([1, 2], [6])])
	def test_data(arr, args, ret):
	from sys import byteorder
	assert all(m.data_t(arr, *args) == ret)
	assert all(m.data(arr, *args)[(0 if byteorder == 'little' else 1)::2] == ret)
	assert all(m.data(arr, *args)[(1 if byteorder == 'little' else 0)::2] == 0)


	@pytest.mark.parametrize('dim', [0, 1, 3])
	def test_at_fail(arr, dim):
	for func in m.at_t, m.mutate_at_t:
	with pytest.raises(IndexError) as excinfo:
	func(arr, ([0] dim))
	assert str(excinfo.value) == 'index dimension mismatch: {} (ndim = 2)'.format(dim)


	def test_at(arr):
	assert m.at_t(arr, 0, 2) == 3
	assert m.at_t(arr, 1, 0) == 4

	assert all(m.mutate_at_t(arr, 0, 2).ravel() == [1, 2, 4, 4, 5, 6])
	assert all(m.mutate_at_t(arr, 1, 0).ravel() == [1, 2, 4, 5, 5, 6])


	def test_mutate_readonly(arr):
	arr.flags.writeable = False
	for func, args in (m.mutate_data, ()), (m.mutate_data_t, ()), (m.mutate_at_t, (0, 0)):
	with pytest.raises(ValueError) as excinfo:
	func(arr, *args)
	assert str(excinfo.value) == 'array is not writeable'


	def test_mutate_data(arr):
	assert all(m.mutate_data(arr).ravel() == [2, 4, 6, 8, 10, 12])
	assert all(m.mutate_data(arr).ravel() == [4, 8, 12, 16, 20, 24])
	assert all(m.mutate_data(arr, 1).ravel() == [4, 8, 12, 32, 40, 48])
	assert all(m.mutate_data(arr, 0, 1).ravel() == [4, 16, 24, 64, 80, 96])
	assert all(m.mutate_data(arr, 1, 2).ravel() == [4, 16, 24, 64, 80, 192])

	assert all(m.mutate_data_t(arr).ravel() == [5, 17, 25, 65, 81, 193])
	assert all(m.mutate_data_t(arr).ravel() == [6, 18, 26, 66, 82, 194])
	assert all(m.mutate_data_t(arr, 1).ravel() == [6, 18, 26, 67, 83, 195])
	assert all(m.mutate_data_t(arr, 0, 1).ravel() == [6, 19, 27, 68, 84, 196])
	assert all(m.mutate_data_t(arr, 1, 2).ravel() == [6, 19, 27, 68, 84, 197])


	def test_bounds_check(arr):
	for func in (m.index_at, m.index_at_t, m.data, m.data_t,
	m.mutate_data, m.mutate_data_t, m.at_t, m.mutate_at_t):
	with pytest.raises(IndexError) as excinfo:
	func(arr, 2, 0)
	assert str(excinfo.value) == 'index 2 is out of bounds for axis 0 with size 2'
	with pytest.raises(IndexError) as excinfo:
	func(arr, 0, 4)
	assert str(excinfo.value) == 'index 4 is out of bounds for axis 1 with size 3'


	def test_make_c_f_array():
	assert m.make_c_array().flags.c_contiguous
	assert not m.make_c_array().flags.f_contiguous
	assert m.make_f_array().flags.f_contiguous
	assert not m.make_f_array().flags.c_contiguous


	def test_wrap():
	def assert_references(a, b, base=None):
	if base is None:
	base = a
	assert a is not b
	assert a.__array_interface__['data'][0] == b.__array_interface__['data'][0]
	assert a.shape == b.shape
	assert a.strides == b.strides
	assert a.flags.c_contiguous == b.flags.c_contiguous
	assert a.flags.f_contiguous == b.flags.f_contiguous
	assert a.flags.writeable == b.flags.writeable
	assert a.flags.aligned == b.flags.aligned
	assert a.flags.updateifcopy == b.flags.updateifcopy
	assert np.all(a == b)
	assert not b.flags.owndata
	assert b.base is base
	if a.flags.writeable and a.ndim == 2:
	a[0, 0] = 1234
	assert b[0, 0] == 1234

	a1 = np.array([1, 2], dtype=np.int16)
	assert a1.flags.owndata and a1.base is None
	a2 = m.wrap(a1)
	assert_references(a1, a2)

	a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='F')
	assert a1.flags.owndata and a1.base is None
	a2 = m.wrap(a1)
	assert_references(a1, a2)

	a1 = np.array([[1, 2], [3, 4]], dtype=np.float32, order='C')
	a1.flags.writeable = False
	a2 = m.wrap(a1)
	assert_references(a1, a2)

	a1 = np.random.random((4, 4, 4))
	a2 = m.wrap(a1)
	assert_references(a1, a2)

	a1t = a1.transpose()
	a2 = m.wrap(a1t)
	assert_references(a1t, a2, a1)

	a1d = a1.diagonal()
	a2 = m.wrap(a1d)
	assert_references(a1d, a2, a1)

	a1m = a1[::-1, ::-1, ::-1]
	a2 = m.wrap(a1m)
	assert_references(a1m, a2, a1)


	def test_numpy_view(capture):
	with capture:
	ac = m.ArrayClass()
	ac_view_1 = ac.numpy_view()
	ac_view_2 = ac.numpy_view()
	assert np.all(ac_view_1 == np.array([1, 2], dtype=np.int32))
	del ac
	pytest.gc_collect()
	assert capture == """
	ArrayClass()
	ArrayClass::numpy_view()
	ArrayClass::numpy_view()
	"""
	ac_view_1[0] = 4
	ac_view_1[1] = 3
	assert ac_view_2[0] == 4
	assert ac_view_2[1] == 3
	with capture:
	del ac_view_1
	del ac_view_2
	pytest.gc_collect()
	pytest.gc_collect()
	assert capture == """
	~ArrayClass()
	"""


	@pytest.unsupported_on_pypy
	def test_cast_numpy_int64_to_uint64():
	m.function_taking_uint64(123)
	m.function_taking_uint64(np.uint64(123))


	def test_isinstance():
	assert m.isinstance_untyped(np.array([1, 2, 3]), "not an array")
	assert m.isinstance_typed(np.array([1.0, 2.0, 3.0]))


	def test_constructors():
	defaults = m.default_constructors()
	for a in defaults.values():
	assert a.size == 0
	assert defaults["array"].dtype == np.array([]).dtype
	assert defaults["array_t<int32>"].dtype == np.int32
	assert defaults["array_t<double>"].dtype == np.float64

	results = m.converting_constructors([1, 2, 3])
	for a in results.values():
	np.testing.assert_array_equal(a, [1, 2, 3])
	assert results["array"].dtype == np.int_
	assert results["array_t<int32>"].dtype == np.int32
	assert results["array_t<double>"].dtype == np.float64


	def test_overload_resolution(msg):
	# Exact overload matches:
	assert m.overloaded(np.array([1], dtype='float64')) == 'double'
	assert m.overloaded(np.array([1], dtype='float32')) == 'float'
	assert m.overloaded(np.array([1], dtype='ushort')) == 'unsigned short'
	assert m.overloaded(np.array([1], dtype='intc')) == 'int'
	assert m.overloaded(np.array([1], dtype='longlong')) == 'long long'
	assert m.overloaded(np.array([1], dtype='complex')) == 'double complex'
	assert m.overloaded(np.array([1], dtype='csingle')) == 'float complex'

	# No exact match, should call first convertible version:
	assert m.overloaded(np.array([1], dtype='uint8')) == 'double'

	with pytest.raises(TypeError) as excinfo:
	m.overloaded("not an array")
	assert msg(excinfo.value) == """
	overloaded(): incompatible function arguments. The following argument types are supported:
	1. (arg0: numpy.ndarray[float64]) -> str
	2. (arg0: numpy.ndarray[float32]) -> str
	3. (arg0: numpy.ndarray[int32]) -> str
	4. (arg0: numpy.ndarray[uint16]) -> str
	5. (arg0: numpy.ndarray[int64]) -> str
	6. (arg0: numpy.ndarray[complex128]) -> str
	7. (arg0: numpy.ndarray[complex64]) -> str

	Invoked with: 'not an array'
	"""

	assert m.overloaded2(np.array([1], dtype='float64')) == 'double'
	assert m.overloaded2(np.array([1], dtype='float32')) == 'float'
	assert m.overloaded2(np.array([1], dtype='complex64')) == 'float complex'
	assert m.overloaded2(np.array([1], dtype='complex128')) == 'double complex'
	assert m.overloaded2(np.array([1], dtype='float32')) == 'float'

	assert m.overloaded3(np.array([1], dtype='float64')) == 'double'
	assert m.overloaded3(np.array([1], dtype='intc')) == 'int'
	expected_exc = """
	overloaded3(): incompatible function arguments. The following argument types are supported:
	1. (arg0: numpy.ndarray[int32]) -> str
	2. (arg0: numpy.ndarray[float64]) -> str

	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)"
	with pytest.raises(TypeError) as excinfo:
	m.overloaded3(np.array([1], dtype='float32'))
	assert msg(excinfo.value) == expected_exc + " 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])"

	# Exact matches:
	assert m.overloaded4(np.array([1], dtype='double')) == 'double'
	assert m.overloaded4(np.array([1], dtype='longlong')) == 'long long'
	# Non-exact matches requiring conversion. Since float to integer isn't a
	# save conversion, it should go to the double overload, but short can go to
	# either (and so should end up on the first-registered, the long long).
	assert m.overloaded4(np.array([1], dtype='float32')) == 'double'
	assert m.overloaded4(np.array([1], dtype='short')) == 'long long'

	assert m.overloaded5(np.array([1], dtype='double')) == 'double'
	assert m.overloaded5(np.array([1], dtype='uintc')) == 'unsigned int'
	assert m.overloaded5(np.array([1], dtype='float32')) == 'unsigned int'


	def test_greedy_string_overload():
	"""Tests fix for #685 - ndarray shouldn't go to std::string overload"""

	assert m.issue685("abc") == "string"
	assert m.issue685(np.array([97, 98, 99], dtype='b')) == "array"
	assert m.issue685(123) == "other"


	def test_array_unchecked_fixed_dims(msg):
	z1 = np.array([[1, 2], [3, 4]], dtype='float64')
	m.proxy_add2(z1, 10)
	assert np.all(z1 == [[11, 12], [13, 14]])

	with pytest.raises(ValueError) as excinfo:
	m.proxy_add2(np.array([1., 2, 3]), 5.0)
	assert msg(excinfo.value) == "array has incorrect number of dimensions: 1; expected 2"

	expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
	assert np.all(m.proxy_init3(3.0) == expect_c)
	expect_f = np.transpose(expect_c)
	assert np.all(m.proxy_init3F(3.0) == expect_f)

	assert m.proxy_squared_L2_norm(np.array(range(6))) == 55
	assert m.proxy_squared_L2_norm(np.array(range(6), dtype="float64")) == 55

	assert m.proxy_auxiliaries2(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
	assert m.proxy_auxiliaries2(z1) == m.array_auxiliaries2(z1)


	def test_array_unchecked_dyn_dims(msg):
	z1 = np.array([[1, 2], [3, 4]], dtype='float64')
	m.proxy_add2_dyn(z1, 10)
	assert np.all(z1 == [[11, 12], [13, 14]])

	expect_c = np.ndarray(shape=(3, 3, 3), buffer=np.array(range(3, 30)), dtype='int')
	assert np.all(m.proxy_init3_dyn(3.0) == expect_c)

	assert m.proxy_auxiliaries2_dyn(z1) == [11, 11, True, 2, 8, 2, 2, 4, 32]
	assert m.proxy_auxiliaries2_dyn(z1) == m.array_auxiliaries2(z1)


	def test_array_failure():
	with pytest.raises(ValueError) as excinfo:
	m.array_fail_test()
	assert str(excinfo.value) == 'cannot create a pybind11::array from a nullptr'

	with pytest.raises(ValueError) as excinfo:
	m.array_t_fail_test()
	assert str(excinfo.value) == 'cannot create a pybind11::array_t from a nullptr'

	with pytest.raises(ValueError) as excinfo:
	m.array_fail_test_negative_size()
	assert str(excinfo.value) == 'negative dimensions are not allowed'


	def test_initializer_list():
	assert m.array_initializer_list1().shape == (1,)
	assert m.array_initializer_list2().shape == (1, 2)
	assert m.array_initializer_list3().shape == (1, 2, 3)
	assert m.array_initializer_list4().shape == (1, 2, 3, 4)


	def test_array_resize(msg):
	a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9], dtype='float64')
	m.array_reshape2(a)
	assert(a.size == 9)
	assert(np.all(a == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]))

	# total size change should succced with refcheck off
	m.array_resize3(a, 4, False)
	assert(a.size == 64)
	# ... and fail with refcheck on
	try:
	m.array_resize3(a, 3, True)
	except ValueError as e:
	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.))