def test_p_L(self, f=np.sin, x=[0, np.pi], n=11):
"""
Tests the polynomial interpolation function on the given x values, which should return
exactly the given y values. The function uses the values on sin(x) default
"""
p_L = LagrangeInterpolation(f, x, n)
LP.test_p_l(p_L.xp, p_L.yp)
def test_p_L(self, f = np.sin, x = [0, np.pi], n = 11):
"""
Tests the polynomial interpolation function on the given x values, which should return
exactly the given y values. The function uses the values on sin(x) default
"""
p_L = LagrangeInterpolation(f, x, n)
LP.test_p_l(p_L.xp, p_L.yp)
def test_p_L(self,
xp=np.linspace(0, np.pi, 5),
yp=np.array([np.sin(y) for y in np.linspace(0, np.pi, 5)])):
"""
Tests the polynomial interpolation function on the given x values, which should return
exactly the given y values. The function uses the values on sin(x) default
"""
LP.test_p_l(xp, yp)
def test_p_L(self, xp = np.linspace(0,np.pi, 5), yp = np.array([np.sin(y) for y in np.linspace(0,np.pi, 5)]) ):
"""
Tests the polynomial interpolation function on the given x values, which should return
exactly the given y values. The function uses the values on sin(x) default
"""
LP.test_p_l(xp, yp)
