AlkantarClanX12
Current Path : /opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/ |
Current File : //opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/typing/tests/data/pass/fromnumeric.py |
"""Tests for :mod:`numpy.core.fromnumeric`.""" import numpy as np A = np.array(True, ndmin=2, dtype=bool) B = np.array(1.0, ndmin=2, dtype=np.float32) A.setflags(write=False) B.setflags(write=False) a = np.bool_(True) b = np.float32(1.0) c = 1.0 d = np.array(1.0, dtype=np.float32) # writeable np.take(a, 0) np.take(b, 0) np.take(c, 0) np.take(A, 0) np.take(B, 0) np.take(A, [0]) np.take(B, [0]) np.reshape(a, 1) np.reshape(b, 1) np.reshape(c, 1) np.reshape(A, 1) np.reshape(B, 1) np.choose(a, [True, True]) np.choose(A, [1.0, 1.0]) np.repeat(a, 1) np.repeat(b, 1) np.repeat(c, 1) np.repeat(A, 1) np.repeat(B, 1) np.swapaxes(A, 0, 0) np.swapaxes(B, 0, 0) np.transpose(a) np.transpose(b) np.transpose(c) np.transpose(A) np.transpose(B) np.partition(a, 0, axis=None) np.partition(b, 0, axis=None) np.partition(c, 0, axis=None) np.partition(A, 0) np.partition(B, 0) np.argpartition(a, 0) np.argpartition(b, 0) np.argpartition(c, 0) np.argpartition(A, 0) np.argpartition(B, 0) np.sort(A, 0) np.sort(B, 0) np.argsort(A, 0) np.argsort(B, 0) np.argmax(A) np.argmax(B) np.argmax(A, axis=0) np.argmax(B, axis=0) np.argmin(A) np.argmin(B) np.argmin(A, axis=0) np.argmin(B, axis=0) np.searchsorted(A[0], 0) np.searchsorted(B[0], 0) np.searchsorted(A[0], [0]) np.searchsorted(B[0], [0]) np.resize(a, (5, 5)) np.resize(b, (5, 5)) np.resize(c, (5, 5)) np.resize(A, (5, 5)) np.resize(B, (5, 5)) np.squeeze(a) np.squeeze(b) np.squeeze(c) np.squeeze(A) np.squeeze(B) np.diagonal(A) np.diagonal(B) np.trace(A) np.trace(B) np.ravel(a) np.ravel(b) np.ravel(c) np.ravel(A) np.ravel(B) np.nonzero(A) np.nonzero(B) np.shape(a) np.shape(b) np.shape(c) np.shape(A) np.shape(B) np.compress([True], a) np.compress([True], b) np.compress([True], c) np.compress([True], A) np.compress([True], B) np.clip(a, 0, 1.0) np.clip(b, -1, 1) np.clip(a, 0, None) np.clip(b, None, 1) np.clip(c, 0, 1) np.clip(A, 0, 1) np.clip(B, 0, 1) np.clip(B, [0, 1], [1, 2]) np.sum(a) np.sum(b) np.sum(c) np.sum(A) np.sum(B) np.sum(A, axis=0) np.sum(B, axis=0) np.all(a) np.all(b) np.all(c) np.all(A) np.all(B) np.all(A, axis=0) np.all(B, axis=0) np.all(A, keepdims=True) np.all(B, keepdims=True) np.any(a) np.any(b) np.any(c) np.any(A) np.any(B) np.any(A, axis=0) np.any(B, axis=0) np.any(A, keepdims=True) np.any(B, keepdims=True) np.cumsum(a) np.cumsum(b) np.cumsum(c) np.cumsum(A) np.cumsum(B) np.ptp(b) np.ptp(c) np.ptp(B) np.ptp(B, axis=0) np.ptp(B, keepdims=True) np.amax(a) np.amax(b) np.amax(c) np.amax(A) np.amax(B) np.amax(A, axis=0) np.amax(B, axis=0) np.amax(A, keepdims=True) np.amax(B, keepdims=True) np.amin(a) np.amin(b) np.amin(c) np.amin(A) np.amin(B) np.amin(A, axis=0) np.amin(B, axis=0) np.amin(A, keepdims=True) np.amin(B, keepdims=True) np.prod(a) np.prod(b) np.prod(c) np.prod(A) np.prod(B) np.prod(a, dtype=None) np.prod(A, dtype=None) np.prod(A, axis=0) np.prod(B, axis=0) np.prod(A, keepdims=True) np.prod(B, keepdims=True) np.prod(b, out=d) np.prod(B, out=d) np.cumprod(a) np.cumprod(b) np.cumprod(c) np.cumprod(A) np.cumprod(B) np.ndim(a) np.ndim(b) np.ndim(c) np.ndim(A) np.ndim(B) np.size(a) np.size(b) np.size(c) np.size(A) np.size(B) np.around(a) np.around(b) np.around(c) np.around(A) np.around(B) np.mean(a) np.mean(b) np.mean(c) np.mean(A) np.mean(B) np.mean(A, axis=0) np.mean(B, axis=0) np.mean(A, keepdims=True) np.mean(B, keepdims=True) np.mean(b, out=d) np.mean(B, out=d) np.std(a) np.std(b) np.std(c) np.std(A) np.std(B) np.std(A, axis=0) np.std(B, axis=0) np.std(A, keepdims=True) np.std(B, keepdims=True) np.std(b, out=d) np.std(B, out=d) np.var(a) np.var(b) np.var(c) np.var(A) np.var(B) np.var(A, axis=0) np.var(B, axis=0) np.var(A, keepdims=True) np.var(B, keepdims=True) np.var(b, out=d) np.var(B, out=d)