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"""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
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)
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