/
opt
/
imh-python
/
lib
/
python3.9
/
site-packages
/
numpy
/
core
/
tests
/
/opt/imh-python/lib/python3.9/site-packages/numpy/core/tests
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test_dlpack.py
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Edit:
/opt/imh-python/lib/python3.9/site-packages/numpy/core/tests/test_dlpack.py
(3522B)
import sys import pytest import numpy as np from numpy.testing import assert_array_equal, IS_PYPY class TestDLPack: @pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.") def test_dunder_dlpack_refcount(self): x = np.arange(5) y = x.__dlpack__() assert sys.getrefcount(x) == 3 del y assert sys.getrefcount(x) == 2 def test_dunder_dlpack_stream(self): x = np.arange(5) x.__dlpack__(stream=None) with pytest.raises(RuntimeError): x.__dlpack__(stream=1) def test_strides_not_multiple_of_itemsize(self): dt = np.dtype([('int', np.int32), ('char', np.int8)]) y = np.zeros((5,), dtype=dt) z = y['int'] with pytest.raises(BufferError): np.from_dlpack(z) @pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.") def test_from_dlpack_refcount(self): x = np.arange(5) y = np.from_dlpack(x) assert sys.getrefcount(x) == 3 del y assert sys.getrefcount(x) == 2 @pytest.mark.parametrize("dtype", [ np.bool_, np.int8, np.int16, np.int32, np.int64, np.uint8, np.uint16, np.uint32, np.uint64, np.float16, np.float32, np.float64, np.complex64, np.complex128 ]) def test_dtype_passthrough(self, dtype): x = np.arange(5).astype(dtype) y = np.from_dlpack(x) assert y.dtype == x.dtype assert_array_equal(x, y) def test_invalid_dtype(self): x = np.asarray(np.datetime64('2021-05-27')) with pytest.raises(BufferError): np.from_dlpack(x) def test_invalid_byte_swapping(self): dt = np.dtype('=i8').newbyteorder() x = np.arange(5, dtype=dt) with pytest.raises(BufferError): np.from_dlpack(x) def test_non_contiguous(self): x = np.arange(25).reshape((5, 5)) y1 = x[0] assert_array_equal(y1, np.from_dlpack(y1)) y2 = x[:, 0] assert_array_equal(y2, np.from_dlpack(y2)) y3 = x[1, :] assert_array_equal(y3, np.from_dlpack(y3)) y4 = x[1] assert_array_equal(y4, np.from_dlpack(y4)) y5 = np.diagonal(x).copy() assert_array_equal(y5, np.from_dlpack(y5)) @pytest.mark.parametrize("ndim", range(33)) def test_higher_dims(self, ndim): shape = (1,) * ndim x = np.zeros(shape, dtype=np.float64) assert shape == np.from_dlpack(x).shape def test_dlpack_device(self): x = np.arange(5) assert x.__dlpack_device__() == (1, 0) y = np.from_dlpack(x) assert y.__dlpack_device__() == (1, 0) z = y[::2] assert z.__dlpack_device__() == (1, 0) def dlpack_deleter_exception(self): x = np.arange(5) _ = x.__dlpack__() raise RuntimeError def test_dlpack_destructor_exception(self): with pytest.raises(RuntimeError): self.dlpack_deleter_exception() def test_readonly(self): x = np.arange(5) x.flags.writeable = False with pytest.raises(BufferError): x.__dlpack__() def test_ndim0(self): x = np.array(1.0) y = np.from_dlpack(x) assert_array_equal(x, y) def test_size1dims_arrays(self): x = np.ndarray(dtype='f8', shape=(10, 5, 1), strides=(8, 80, 4), buffer=np.ones(1000, dtype=np.uint8), order='F') y = np.from_dlpack(x) assert_array_equal(x, y)
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