def test_minimum(self):
from numpypy import array, minimum, nan, isnan
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])
arg1 = array([0, nan, nan])
arg2 = array([nan, 0, nan])
assert isnan(minimum(arg1, arg2)).all()
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+5j, -5.0-5j, -0.0-10j, 1.0+10j])
b = array([ 3.0+10.0j, 3.0, -2.0+2.0j, -3.0+4.0j])
c = minimum(a, b)
for i in range(4):
assert c[i] == min(a[i], b[i])
def test_sequence(self):
from numpypy import array, negative, minimum
a = array(range(3))
b = [2.0, 1.0, 0.0]
c = 1.0
b_neg = negative(b)
assert isinstance(b_neg, array)
for i in range(3):
assert b_neg[i] == -b[i]
min_a_b = minimum(a, b)
assert isinstance(min_a_b, array)
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, array)
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, array)
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, array)
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, array)
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, array)
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
