def test_chi_vectorized(self):
"""This function checks the return type of this function."""
n = 8
N = 2**int(n / 2)
s = random_input(n)
inputs = random_inputs(n, N)
chi_arr = chi_vectorized(s, inputs)
self.assertEqual(len(chi_arr), N,
'The array must contain {0} arrays.'.format(N))
self.assertEqual(chi_arr.dtype, BIT_TYPE,
'The array must be of type {0}'.format(BIT_TYPE))
def eval(self, challenges):
"""
Evaluates a given array of inputs.
:param challenges: array of int shape(N,n)
{-1,1}-valued inputs to be evaluated.
:return: array of float
real valued responses
"""
vals = np.array([
coefficient.val * tools.chi_vectorized(coefficient.s, challenges)
for coefficient in self.fourier_coefficients
]).T
return np.sum(vals, axis=1)
def eval(self, inputs):
vals = np.array(
[coefficient.val * tools.chi_vectorized(coefficient.s, inputs)
for coefficient in self.fourier_coefficients]
).T
return np.sum(vals, axis=1)