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90 lines
1.4 KiB
90 lines
1.4 KiB
"""
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Tests for :mod:`numpy.core.numeric`.
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Does not include tests which fall under ``array_constructors``.
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"""
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from typing import List
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import numpy as np
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class SubClass(np.ndarray):
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...
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i8 = np.int64(1)
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A = np.arange(27).reshape(3, 3, 3)
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B: List[List[List[int]]] = A.tolist()
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C = np.empty((27, 27)).view(SubClass)
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np.count_nonzero(i8)
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np.count_nonzero(A)
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np.count_nonzero(B)
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np.count_nonzero(A, keepdims=True)
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np.count_nonzero(A, axis=0)
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np.isfortran(i8)
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np.isfortran(A)
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np.argwhere(i8)
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np.argwhere(A)
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np.flatnonzero(i8)
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np.flatnonzero(A)
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np.correlate(B[0][0], A.ravel(), mode="valid")
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np.correlate(A.ravel(), A.ravel(), mode="same")
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np.convolve(B[0][0], A.ravel(), mode="valid")
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np.convolve(A.ravel(), A.ravel(), mode="same")
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np.outer(i8, A)
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np.outer(B, A)
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np.outer(A, A)
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np.outer(A, A, out=C)
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np.tensordot(B, A)
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np.tensordot(A, A)
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np.tensordot(A, A, axes=0)
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np.tensordot(A, A, axes=(0, 1))
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np.isscalar(i8)
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np.isscalar(A)
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np.isscalar(B)
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np.roll(A, 1)
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np.roll(A, (1, 2))
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np.roll(B, 1)
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np.rollaxis(A, 0, 1)
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np.moveaxis(A, 0, 1)
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np.moveaxis(A, (0, 1), (1, 2))
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np.cross(B, A)
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np.cross(A, A)
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np.indices([0, 1, 2])
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np.indices([0, 1, 2], sparse=False)
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np.indices([0, 1, 2], sparse=True)
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np.binary_repr(1)
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np.base_repr(1)
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np.allclose(i8, A)
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np.allclose(B, A)
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np.allclose(A, A)
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np.isclose(i8, A)
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np.isclose(B, A)
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np.isclose(A, A)
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np.array_equal(i8, A)
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np.array_equal(B, A)
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np.array_equal(A, A)
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np.array_equiv(i8, A)
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np.array_equiv(B, A)
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np.array_equiv(A, A)
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