import sys
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import pytest
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import numpy as np
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from numpy.testing import IS_PYPY, assert_array_equal
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def new_and_old_dlpack():
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yield np.arange(5)
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class OldDLPack(np.ndarray):
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# Support only the "old" version
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def __dlpack__(self, stream=None):
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return super().__dlpack__(stream=None)
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yield np.arange(5).view(OldDLPack)
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class TestDLPack:
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@pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.")
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@pytest.mark.parametrize("max_version", [(0, 0), None, (1, 0), (100, 3)])
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def test_dunder_dlpack_refcount(self, max_version):
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x = np.arange(5)
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y = x.__dlpack__(max_version=max_version)
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startcount = sys.getrefcount(x)
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del y
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assert startcount - sys.getrefcount(x) == 1
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def test_dunder_dlpack_stream(self):
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x = np.arange(5)
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x.__dlpack__(stream=None)
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with pytest.raises(RuntimeError):
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x.__dlpack__(stream=1)
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def test_dunder_dlpack_copy(self):
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# Checks the argument parsing of __dlpack__ explicitly.
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# Honoring the flag is tested in the from_dlpack round-tripping test.
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x = np.arange(5)
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x.__dlpack__(copy=True)
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x.__dlpack__(copy=None)
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x.__dlpack__(copy=False)
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with pytest.raises(ValueError):
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# NOTE: The copy converter should be stricter, but not just here.
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x.__dlpack__(copy=np.array([1, 2, 3]))
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def test_strides_not_multiple_of_itemsize(self):
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dt = np.dtype([('int', np.int32), ('char', np.int8)])
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y = np.zeros((5,), dtype=dt)
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z = y['int']
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with pytest.raises(BufferError):
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np.from_dlpack(z)
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@pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.")
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@pytest.mark.parametrize("arr", new_and_old_dlpack())
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def test_from_dlpack_refcount(self, arr):
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arr = arr.copy()
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y = np.from_dlpack(arr)
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startcount = sys.getrefcount(arr)
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del y
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assert startcount - sys.getrefcount(arr) == 1
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@pytest.mark.parametrize("dtype", [
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np.bool,
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np.int8, np.int16, np.int32, np.int64,
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np.uint8, np.uint16, np.uint32, np.uint64,
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np.float16, np.float32, np.float64,
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np.complex64, np.complex128
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])
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@pytest.mark.parametrize("arr", new_and_old_dlpack())
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def test_dtype_passthrough(self, arr, dtype):
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x = arr.astype(dtype)
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y = np.from_dlpack(x)
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assert y.dtype == x.dtype
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assert_array_equal(x, y)
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def test_invalid_dtype(self):
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x = np.asarray(np.datetime64('2021-05-27'))
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with pytest.raises(BufferError):
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np.from_dlpack(x)
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def test_invalid_byte_swapping(self):
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dt = np.dtype('=i8').newbyteorder()
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x = np.arange(5, dtype=dt)
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with pytest.raises(BufferError):
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np.from_dlpack(x)
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def test_non_contiguous(self):
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x = np.arange(25).reshape((5, 5))
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y1 = x[0]
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assert_array_equal(y1, np.from_dlpack(y1))
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y2 = x[:, 0]
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assert_array_equal(y2, np.from_dlpack(y2))
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y3 = x[1, :]
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assert_array_equal(y3, np.from_dlpack(y3))
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y4 = x[1]
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assert_array_equal(y4, np.from_dlpack(y4))
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y5 = np.diagonal(x).copy()
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assert_array_equal(y5, np.from_dlpack(y5))
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@pytest.mark.parametrize("ndim", range(33))
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def test_higher_dims(self, ndim):
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shape = (1,) * ndim
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x = np.zeros(shape, dtype=np.float64)
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assert shape == np.from_dlpack(x).shape
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def test_dlpack_device(self):
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x = np.arange(5)
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assert x.__dlpack_device__() == (1, 0)
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y = np.from_dlpack(x)
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assert y.__dlpack_device__() == (1, 0)
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z = y[::2]
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assert z.__dlpack_device__() == (1, 0)
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def dlpack_deleter_exception(self, max_version):
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x = np.arange(5)
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_ = x.__dlpack__(max_version=max_version)
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raise RuntimeError
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@pytest.mark.parametrize("max_version", [None, (1, 0)])
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def test_dlpack_destructor_exception(self, max_version):
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with pytest.raises(RuntimeError):
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self.dlpack_deleter_exception(max_version=max_version)
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def test_readonly(self):
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x = np.arange(5)
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x.flags.writeable = False
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# Raises without max_version
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with pytest.raises(BufferError):
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x.__dlpack__()
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# But works fine if we try with version
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y = np.from_dlpack(x)
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assert not y.flags.writeable
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def test_writeable(self):
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x_new, x_old = new_and_old_dlpack()
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# new dlpacks respect writeability
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y = np.from_dlpack(x_new)
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assert y.flags.writeable
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# old dlpacks are not writeable for backwards compatibility
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y = np.from_dlpack(x_old)
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assert not y.flags.writeable
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def test_ndim0(self):
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x = np.array(1.0)
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y = np.from_dlpack(x)
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assert_array_equal(x, y)
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def test_size1dims_arrays(self):
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x = np.ndarray(dtype='f8', shape=(10, 5, 1), strides=(8, 80, 4),
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buffer=np.ones(1000, dtype=np.uint8), order='F')
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y = np.from_dlpack(x)
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assert_array_equal(x, y)
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def test_copy(self):
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x = np.arange(5)
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y = np.from_dlpack(x)
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assert np.may_share_memory(x, y)
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y = np.from_dlpack(x, copy=False)
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assert np.may_share_memory(x, y)
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y = np.from_dlpack(x, copy=True)
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assert not np.may_share_memory(x, y)
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def test_device(self):
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x = np.arange(5)
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# requesting (1, 0), i.e. CPU device works in both calls:
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x.__dlpack__(dl_device=(1, 0))
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np.from_dlpack(x, device="cpu")
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np.from_dlpack(x, device=None)
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with pytest.raises(ValueError):
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x.__dlpack__(dl_device=(10, 0))
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with pytest.raises(ValueError):
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np.from_dlpack(x, device="gpu")
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