Updated script that can be controled by Nodejs web app

lib/python3.13/site-packages/numpy/_core/tests/test_dlpack.py

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+import sys
+import pytest
+
+import numpy as np
+from numpy.testing import assert_array_equal, IS_PYPY
+
+
+def new_and_old_dlpack():
+    yield np.arange(5)
+
+    class OldDLPack(np.ndarray):
+        # Support only the "old" version
+        def __dlpack__(self, stream=None):
+            return super().__dlpack__(stream=None)
+
+    yield np.arange(5).view(OldDLPack)
+
+
+class TestDLPack:
+    @pytest.mark.skipif(IS_PYPY, reason="PyPy can't get refcounts.")
+    @pytest.mark.parametrize("max_version", [(0, 0), None, (1, 0), (100, 3)])
+    def test_dunder_dlpack_refcount(self, max_version):
+        x = np.arange(5)
+        y = x.__dlpack__(max_version=max_version)
+        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_dunder_dlpack_copy(self):
+        # Checks the argument parsing of __dlpack__ explicitly.
+        # Honoring the flag is tested in the from_dlpack round-tripping test.
+        x = np.arange(5)
+        x.__dlpack__(copy=True)
+        x.__dlpack__(copy=None)
+        x.__dlpack__(copy=False)
+
+        with pytest.raises(ValueError):
+            # NOTE: The copy converter should be stricter, but not just here.
+            x.__dlpack__(copy=np.array([1, 2, 3]))
+
+    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.")
+    @pytest.mark.parametrize("arr", new_and_old_dlpack())
+    def test_from_dlpack_refcount(self, arr):
+        arr = arr.copy()
+        y = np.from_dlpack(arr)
+        assert sys.getrefcount(arr) == 3
+        del y
+        assert sys.getrefcount(arr) == 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
+    ])
+    @pytest.mark.parametrize("arr", new_and_old_dlpack())
+    def test_dtype_passthrough(self, arr, dtype):
+        x = arr.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, max_version):
+        x = np.arange(5)
+        _ = x.__dlpack__(max_version=max_version)
+        raise RuntimeError
+
+    @pytest.mark.parametrize("max_version", [None, (1, 0)])
+    def test_dlpack_destructor_exception(self, max_version):
+        with pytest.raises(RuntimeError):
+            self.dlpack_deleter_exception(max_version=max_version)
+
+    def test_readonly(self):
+        x = np.arange(5)
+        x.flags.writeable = False
+        # Raises without max_version
+        with pytest.raises(BufferError):
+            x.__dlpack__()
+
+        # But works fine if we try with version
+        y = np.from_dlpack(x)
+        assert not y.flags.writeable
+
+    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)
+
+    def test_copy(self):
+        x = np.arange(5)
+
+        y = np.from_dlpack(x)
+        assert np.may_share_memory(x, y)
+        y = np.from_dlpack(x, copy=False)
+        assert np.may_share_memory(x, y)
+        y = np.from_dlpack(x, copy=True)
+        assert not np.may_share_memory(x, y)
+
+    def test_device(self):
+        x = np.arange(5)
+        # requesting (1, 0), i.e. CPU device works in both calls:
+        x.__dlpack__(dl_device=(1, 0))
+        np.from_dlpack(x, device="cpu")
+        np.from_dlpack(x, device=None)
+
+        with pytest.raises(ValueError):
+            x.__dlpack__(dl_device=(10, 0))
+        with pytest.raises(ValueError):
+            np.from_dlpack(x, device="gpu")