def test_object_arrays(values, dst_type):
assume(
not np.issubdtype(values.dtype, np.complexfloating)
or np.issubdtype(dst_type, np.complexfloating)
)
values = np.asarray(values, dtype=object)
array = _infer_data_type(values, dtype=dst_type)
assert array.dtype == dst_type
assert_array_equal(array, values)
def test_dtype_keyword(as_iterable, values, dst_type):
array = _infer_data_type(as_iterable(values), dtype=dst_type)
assert array.dtype == dst_type
assert_array_equal(array, values)
def test_infer_dtype_from_mixed(values, dst_type, expected):
values = np.asarray(values, dtype=object)
array = _infer_data_type(values)
assert array.dtype == dst_type
assert_array_equal(array, expected)
def test_infer_dtype_from_object(values, dst_type):
values = np.asarray(values, dtype=object)
array = _infer_data_type(values)
assert array.dtype == dst_type
assert_array_equal(array, values)
def test_infer_dtype(as_iterable, src_type):
values = np.asarray([1, 2, 3], dtype=src_type)
array = _infer_data_type(as_iterable(values))
assert array.dtype == src_type
assert_array_equal(array, values)
def test_array_not_copied(values):
array = _infer_data_type(values, dtype=values.dtype)
assert array is values
def test_from_complex(values, dst_type):
array = _infer_data_type(values, dtype=dst_type)
assert_array_equal(array.real, values.real)
