def test_reduce(self):
from numpypy import add, maximum
assert add.reduce([1, 2, 3]) == 6
assert maximum.reduce([1]) == 1
assert maximum.reduce([1, 2, 3]) == 3
raises(ValueError, maximum.reduce, [])
def test_reduce_1d(self):
from numpypy import add, maximum, less
assert less.reduce([5, 4, 3, 2, 1])
assert add.reduce([1, 2, 3]) == 6
assert maximum.reduce([1]) == 1
assert maximum.reduce([1, 2, 3]) == 3
raises(ValueError, maximum.reduce, [])
def test_reduce_1d(self):
from numpypy import array, add, maximum, less, float16, complex64
assert less.reduce([5, 4, 3, 2, 1])
assert add.reduce([1, 2, 3]) == 6
assert maximum.reduce([1]) == 1
assert maximum.reduce([1, 2, 3]) == 3
raises(ValueError, maximum.reduce, [])
assert add.reduce(array([True, False] * 200)) == 200
assert add.reduce(array([True, False] * 200, dtype='int8')) == 200
assert add.reduce(array([True, False] * 200), dtype='int8') == -56
assert type(add.reduce(array([True, False] * 200, dtype='float16'))) is float16
assert type(add.reduce(array([True, False] * 200, dtype='complex64'))) is complex64
def test_reduce_errors(self):
from numpypy import sin, add, maximum, zeros
raises(ValueError, sin.reduce, [1, 2, 3])
assert add.reduce(1) == 1
assert list(maximum.reduce(zeros((2, 0)), axis=0)) == []
exc = raises(ValueError, maximum.reduce, zeros((2, 0)), axis=None)
assert exc.value[0] == ('zero-size array to reduction operation '
'maximum which has no identity')
exc = raises(ValueError, maximum.reduce, zeros((2, 0)), axis=1)
assert exc.value[0] == ('zero-size array to reduction operation '
'maximum which has no identity')
a = zeros((2, 2)) + 1
assert (add.reduce(a, axis=1) == [2, 2]).all()
assert (add.reduce(a, axis=(1,)) == [2, 2]).all()
exc = raises(ValueError, add.reduce, a, axis=2)
assert exc.value[0] == "'axis' entry is out of bounds"
