def test_legval3d(self):
x1, x2, x3 = self.x
y1, y2, y3 = self.y
#test exceptions
assert_raises(ValueError, leg.legval3d, x1, x2, x3[:2], self.c3d)
#test values
tgt = y1*y2*y3
res = leg.legval3d(x1, x2, x3, self.c3d)
assert_almost_equal(res, tgt)
#test shape
z = np.ones((2,3))
res = leg.legval3d(z, z, z, self.c3d)
assert_(res.shape == (2, 3))
def test_legval3d(self):
x1, x2, x3 = self.x
y1, y2, y3 = self.y
#test exceptions
assert_raises(ValueError, leg.legval3d, x1, x2, x3[:2], self.c3d)
#test values
tgt = y1*y2*y3
res = leg.legval3d(x1, x2, x3, self.c3d)
assert_almost_equal(res, tgt)
#test shape
z = np.ones((2, 3))
res = leg.legval3d(z, z, z, self.c3d)
assert_(res.shape == (2, 3))
def legReconstruct(orders, locations, coeffs,unusedNumPts):
if len(locations.shape)==1:
return np.array(leg.legval(locations, coeffs))
else:
if locations.shape[1] == 2:
return leg.legval2d(locations[:,0], locations[:,1], coeffs)
elif locations.shape[1] == 3:
return leg.legval3d(locations[:,0],locations[:,1],locations[:,2], coeffs)
else:
return genericLegVal(locations, coeffs)
def test_legvander3d(self) :
# also tests polyval3d for non-square coefficient array
x1, x2, x3 = self.x
c = np.random.random((2, 3, 4))
van = leg.legvander3d(x1, x2, x3, [1, 2, 3])
tgt = leg.legval3d(x1, x2, x3, c)
res = np.dot(van, c.flat)
assert_almost_equal(res, tgt)
# check shape
van = leg.legvander3d([x1], [x2], [x3], [1, 2, 3])
assert_(van.shape == (1, 5, 24))
def test_legvander3d(self) :
# also tests polyval3d for non-square coefficient array
x1, x2, x3 = self.x
c = np.random.random((2, 3, 4))
van = leg.legvander3d(x1, x2, x3, [1, 2, 3])
tgt = leg.legval3d(x1, x2, x3, c)
res = np.dot(van, c.flat)
assert_almost_equal(res, tgt)
# check shape
van = leg.legvander3d([x1], [x2], [x3], [1, 2, 3])
assert_(van.shape == (1, 5, 24))
