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