def test_compound(self):
s = t.amount.mean()
r = compute(s, data)
assert isinstance(r, float)
expr = cos(s) ** 2 + sin(s) ** 2
result = compute(expr, data)
expected = math.cos(r) ** 2 + math.sin(r) ** 2
assert result == expected
def test_compound(self):
s = t.amount.mean()
r = compute(s, data)
assert isinstance(r, float)
expr = cos(s)**2 + sin(s)**2
result = compute(expr, data)
expected = math.cos(r)**2 + math.sin(r)**2
assert result == expected
def distance(lat1, lon1, lat2, lon2, R=3959):
# http://andrew.hedges.name/experiments/haversine/
dlon = radians(lon2 - lon1)
dlat = radians(lat2 - lat1)
a = sin(dlat / 2.0) ** 2 + cos(lat1) * cos(lat2) * sin(dlon / 2.0) ** 2
return R * 2 * atan2(sqrt(a), sqrt(1 - a))
def distance(lat1, lon1, lat2, lon2, R=3959):
# http://andrew.hedges.name/experiments/haversine/
dlon = radians(lon2 - lon1)
dlat = radians(lat2 - lat1)
a = sin(dlat / 2.0) ** 2 + cos(lat1) * cos(lat2) * sin(dlon / 2.0) ** 2
return R * 2 * atan2(sqrt(a), sqrt(1 - a))
def myfunc(x):
return myother((cos(x) + sin(x)) ** 2 / math.pi)
def myfunc(x):
return (cos(x) + sin(x)) ** 2 / math.pi
def myfunc(x):
return myother((cos(x) + sin(x))**2 / math.pi)
def myfunc(x):
return (cos(x) + sin(x))**2 / math.pi
def test_cos(self):
a = blaze.array([0, math.pi/6, math.pi/3, 0.5*math.pi,
math.pi, 1.5*math.pi, 2*math.pi])
b = blaze.array([1, 0.5*blaze.sqrt(3), 0.5, 0, -1, 0, 1])
assert_allclose(blaze.cos(a), b, rtol=1e-15, atol=1e-15)
assert_allclose(blaze.cos(-a), b, rtol=1e-15, atol=1e-15)