def test_nan_inf(self):
a=numpy.array([0.0, 0.0, 0.0],floattype)
x=util.INF
y=numpy.array([-23.1, util.NAN, 18.208],floattype)
result = sasmath.vec_scale(a,x,y)
expected = util.list_to_floattype(x*y,floattype)
self.assert_list_almost_equal(result,expected)
def test_inf_2(self):
a=numpy.array([util.HUGE, 103.0, -30.0],floattype)
x=util.INF
y=numpy.array([-23.1, 0.98, 18.208],floattype)
result = sasmath.vec_scale(a,x,y)
expected = util.list_to_floattype(x*y,floattype)
self.assert_list_almost_equal(result,expected)
def test_arb_arrays(self):
a=numpy.array([0.0, 0.0, 0.0],floattype)
x=util.num_to_floattype(-35.01,floattype)
y=numpy.array([-23.1, 0.98, 18.208],floattype)
result = sasmath.vec_scale(a,x,y)
expected = util.list_to_floattype(x*y,floattype)
self.assert_list_almost_equal(result,expected)
def test_inf_1(self):
a=numpy.array([0.02, 5.2, -10.0],floattype)
x=util.HUGE
y=numpy.array([-23.1, 19.8, 18.208],floattype)
result = sasmath.vec_scale(a,x,y)
expected = util.list_to_floattype(x*y,floattype)
self.assert_list_almost_equal(result,expected)
def test_unit_arrays(self):
a=numpy.array([0.0, 0.0, 0.0],floattype)
x=util.num_to_floattype(1.0,floattype)
y=numpy.array([1.0, 1.0, 1.0],floattype)
result = sasmath.vec_scale(a,x,y)
expected = util.list_to_floattype(x*y,floattype)
self.assert_list_almost_equal(result,expected)
