def test_complex_nans(self):
nan = blaze.nan
for cnan in [complex(nan, 0), complex(0, nan), complex(nan, nan)]:
arg1 = blaze.array([0, cnan, cnan])
arg2 = blaze.array([cnan, 0, cnan])
out = blaze.array([nan, nan, nan], dshape=datashape.complex_float64)
assert_equal(blaze.maximum(arg1, arg2), out)
def test_complex_nans(self):
nan = blaze.nan
for cnan in [complex(nan, 0), complex(0, nan), complex(nan, nan)]:
arg1 = blaze.array([0, cnan, cnan])
arg2 = blaze.array([cnan, 0, cnan])
out = blaze.array([nan, nan, nan], dshape=datashape.complex_float64)
assert_equal(blaze.maximum(arg1, arg2), out)
def test_float_nans(self):
nan = blaze.nan
arg1 = blaze.array([0, nan, nan])
arg2 = blaze.array([nan, 0, nan])
out = blaze.array([nan, nan, nan])
assert_equal(blaze.maximum(arg1, arg2), out)