def test_amax(self):
# tests taken from numpy/core/fromnumeric.py docstring
from numpypy import array, arange, amax, zeros
a = arange(4).reshape((2,2))
assert amax(a) == 3
# assert (amax(a, axis=0) == array([2, 3])).all()
# assert (amax(a, axis=1) == array([1, 3])).all()
# # NaN behaviour
# b = arange(5, dtype=float)
# b[2] = NaN
# assert amax(b) == nan
# assert nanmax(b) == 4.0
assert amax(range(10)) == 9
assert amax(array(range(10))) == 9
assert list(amax(zeros((0, 2)), axis=1)) == []
a = array([[1, 2], [3, 4]])
out = array([[0, 0], [0, 0]])
c = amax(a, axis=1, out=out[0])
assert (c == [2, 4]).all()
assert (c == out[0]).all()
assert (c != out[1]).all()
def test_amax(self):
# tests taken from numpy/core/fromnumeric.py docstring
from numpypy import array, arange, amax, zeros
a = arange(4).reshape((2,2))
assert amax(a) == 3
# assert (amax(a, axis=0) == array([2, 3])).all()
# assert (amax(a, axis=1) == array([1, 3])).all()
# # NaN behaviour
# b = arange(5, dtype=float)
# b[2] = NaN
# assert amax(b) == nan
# assert nanmax(b) == 4.0
assert amax(range(10)) == 9
assert amax(array(range(10))) == 9
assert list(amax(zeros((0, 2)), axis=1)) == []
a = array([[1, 2], [3, 4]])
out = array([[0, 0], [0, 0]])
c = amax(a, axis=1, out=out[0])
assert (c == [2, 4]).all()
assert (c == out[0]).all()
assert (c != out[1]).all()
def test_amax(self):
# tests taken from numpy/core/fromnumeric.py docstring
from numpypy import array, arange, amax
a = arange(4).reshape((2,2))
assert amax(a) == 3
def test_amax(self):
# tests taken from numpy/core/fromnumeric.py docstring
from numpypy import array, arange, amax
a = arange(4).reshape((2,2))
assert amax(a) == 3
