import sys from typing import Any import numpy as np class Index: def __index__(self) -> int: return 0 class SubClass(np.ndarray): pass def func(i: int, j: int, **kwargs: Any) -> SubClass: return B i8 = np.int64(1) A = np.array([1]) B = A.view(SubClass).copy() B_stack = np.array([[1], [1]]).view(SubClass) C = [1] np.ndarray(Index()) np.ndarray([Index()]) np.array(1, dtype=float) np.array(1, copy=False) np.array(1, order='F') np.array(1, order=None) np.array(1, subok=True) np.array(1, ndmin=3) np.array(1, str, copy=True, order='C', subok=False, ndmin=2) np.asarray(A) np.asarray(B) np.asarray(C) np.asanyarray(A) np.asanyarray(B) np.asanyarray(B, dtype=int) np.asanyarray(C) np.ascontiguousarray(A) np.ascontiguousarray(B) np.ascontiguousarray(C) np.asfortranarray(A) np.asfortranarray(B) np.asfortranarray(C) np.require(A) np.require(B) np.require(B, dtype=int) np.require(B, requirements=None) np.require(B, requirements="E") np.require(B, requirements=["ENSUREARRAY"]) np.require(B, requirements={"F", "E"}) np.require(B, requirements=["C", "OWNDATA"]) np.require(B, requirements="W") np.require(B, requirements="A") np.require(C) np.linspace(0, 2) np.linspace(0.5, [0, 1, 2]) np.linspace([0, 1, 2], 3) np.linspace(0j, 2) np.linspace(0, 2, num=10) np.linspace(0, 2, endpoint=True) np.linspace(0, 2, retstep=True) np.linspace(0j, 2j, retstep=True) np.linspace(0, 2, dtype=bool) np.linspace([0, 1], [2, 3], axis=Index()) np.logspace(0, 2, base=2) np.logspace(0, 2, base=2) np.logspace(0, 2, base=[1j, 2j], num=2) np.geomspace(1, 2) np.zeros_like(A) np.zeros_like(C) np.zeros_like(B) np.zeros_like(B, dtype=np.int64) np.ones_like(A) np.ones_like(C) np.ones_like(B) np.ones_like(B, dtype=np.int64) np.empty_like(A) np.empty_like(C) np.empty_like(B) np.empty_like(B, dtype=np.int64) np.full_like(A, i8) np.full_like(C, i8) np.full_like(B, i8) np.full_like(B, i8, dtype=np.int64) np.ones(1) np.ones([1, 1, 1]) np.full(1, i8) np.full([1, 1, 1], i8) np.indices([1, 2, 3]) np.indices([1, 2, 3], sparse=True) np.fromfunction(func, (3, 5)) np.identity(10) np.atleast_1d(C) np.atleast_1d(A) np.atleast_1d(C, C) np.atleast_1d(C, A) np.atleast_1d(A, A) np.atleast_2d(C) np.atleast_3d(C) np.vstack([C, C]) np.vstack([C, A]) np.vstack([A, A]) np.hstack([C, C]) np.stack([C, C]) np.stack([C, C], axis=0) np.stack([C, C], out=B_stack) np.block([[C, C], [C, C]]) np.block(A)