def test_fmax(self):
from _numpypy import fmax
import math
nnan, nan, inf, ninf = float('-nan'), float('nan'), float('inf'), float('-inf')
a = [ninf, -5, 0, 5, inf]
assert (fmax(a, [ninf]*5) == a).all()
assert (fmax(a, [inf]*5) == [inf]*5).all()
assert (fmax(a, [1]*5) == [1, 1, 1, 5, inf]).all()
assert math.isnan(fmax(nan, 0))
assert math.isnan(fmax(0, nan))
assert math.isnan(fmax(nan, nan))
# The numpy docs specify that the FIRST NaN should be used if both are NaN
assert math.copysign(1.0, fmax(nnan, nan)) == -1.0
def test_fmax(self):
from _numpypy import fmax
import math
nnan, nan, inf, ninf = float('-nan'), float('nan'), float('inf'), float('-inf')
a = [ninf, -5, 0, 5, inf]
assert (fmax(a, [ninf]*5) == a).all()
assert (fmax(a, [inf]*5) == [inf]*5).all()
assert (fmax(a, [1]*5) == [1, 1, 1, 5, inf]).all()
assert math.isnan(fmax(nan, 0))
assert math.isnan(fmax(0, nan))
assert math.isnan(fmax(nan, nan))
# The numpy docs specify that the FIRST NaN should be used if both are NaN
# Since comparisons with nnan and nan all return false,
# use copysign on both sides to sidestep bug in nan representaion
# on Microsoft win32
assert math.copysign(1., fmax(nnan, nan)) == math.copysign(1., nnan)
def test_fmax(self):
from _numpypy import fmax
import math
nnan, nan, inf, ninf = float('-nan'), float('nan'), float(
'inf'), float('-inf')
a = [ninf, -5, 0, 5, inf]
assert (fmax(a, [ninf] * 5) == a).all()
assert (fmax(a, [inf] * 5) == [inf] * 5).all()
assert (fmax(a, [1] * 5) == [1, 1, 1, 5, inf]).all()
assert math.isnan(fmax(nan, 0))
assert math.isnan(fmax(0, nan))
assert math.isnan(fmax(nan, nan))
# The numpy docs specify that the FIRST NaN should be used if both are NaN
# Since comparisons with nnan and nan all return false,
# use copysign on both sides to sidestep bug in nan representaion
# on Microsoft win32
assert math.copysign(1., fmax(nnan, nan)) == math.copysign(1., nnan)
