def test_minimum(self):
from _numpypy import array, minimum
a = array([-5.0, -0.0, 1.0])
b = array([ 3.0, -2.0,-3.0])
c = minimum(a, b)
for i in range(3):
assert c[i] == min(a[i], b[i])
def test_minimum(self):
from _numpypy import array, minimum
a = array([-5.0, -0.0, 1.0])
b = array([3.0, -2.0, -3.0])
c = minimum(a, b)
for i in range(3):
assert c[i] == min(a[i], b[i])
def test_sequence(self):
from _numpypy import array, ndarray, negative, minimum
a = array(range(3))
b = [2.0, 1.0, 0.0]
c = 1.0
b_neg = negative(b)
assert isinstance(b_neg, ndarray)
for i in range(3):
assert b_neg[i] == -b[i]
min_a_b = minimum(a, b)
assert isinstance(min_a_b, ndarray)
for i in range(3):
assert min_a_b[i] == min(a[i], b[i])
min_b_a = minimum(b, a)
assert isinstance(min_b_a, ndarray)
for i in range(3):
assert min_b_a[i] == min(a[i], b[i])
min_a_c = minimum(a, c)
assert isinstance(min_a_c, ndarray)
for i in range(3):
assert min_a_c[i] == min(a[i], c)
min_c_a = minimum(c, a)
assert isinstance(min_c_a, ndarray)
for i in range(3):
assert min_c_a[i] == min(a[i], c)
min_b_c = minimum(b, c)
assert isinstance(min_b_c, ndarray)
for i in range(3):
assert min_b_c[i] == min(b[i], c)
min_c_b = minimum(c, b)
assert isinstance(min_c_b, ndarray)
for i in range(3):
assert min_c_b[i] == min(b[i], c)
def test_sequence(self):
from _numpypy import array, ndarray, negative, minimum
a = array(range(3))
b = [2.0, 1.0, 0.0]
c = 1.0
b_neg = negative(b)
assert isinstance(b_neg, ndarray)
for i in range(3):
assert b_neg[i] == -b[i]
min_a_b = minimum(a, b)
assert isinstance(min_a_b, ndarray)
for i in range(3):
assert min_a_b[i] == min(a[i], b[i])
min_b_a = minimum(b, a)
assert isinstance(min_b_a, ndarray)
for i in range(3):
assert min_b_a[i] == min(a[i], b[i])
min_a_c = minimum(a, c)
assert isinstance(min_a_c, ndarray)
for i in range(3):
assert min_a_c[i] == min(a[i], c)
min_c_a = minimum(c, a)
assert isinstance(min_c_a, ndarray)
for i in range(3):
assert min_c_a[i] == min(a[i], c)
min_b_c = minimum(b, c)
assert isinstance(min_b_c, ndarray)
for i in range(3):
assert min_b_c[i] == min(b[i], c)
min_c_b = minimum(c, b)
assert isinstance(min_c_b, ndarray)
for i in range(3):
assert min_c_b[i] == min(b[i], c)
def test_single_item(self):
from _numpypy import negative, sign, minimum
assert negative(5.0) == -5.0
assert sign(-0.0) == 0.0
assert minimum(2.0, 3.0) == 2.0
def test_single_item(self):
from _numpypy import negative, sign, minimum
assert negative(5.0) == -5.0
assert sign(-0.0) == 0.0
assert minimum(2.0, 3.0) == 2.0
