def test_func_exp(self):
"""Unit test for the value returned by the func_exp() function at the minimum."""
# Get the chi-squared value.
val = func_exp(self.params)
# Assert that the value must be 0.0.
self.assertAlmostEqual(val, 0.0)
def test_func_exp(self):
"""Unit test for the value returned by the func_exp() function at the minimum."""
# Get the chi-squared value.
val = func_exp(self.params)
# Assert that the value must be 0.0.
self.assertAlmostEqual(val, 0.0)
def func_exp(self, params):
"""Wrapper function for the C module, for converting numpy arrays.
@param params: The parameter array from the minimisation code.
@type params: numpy array
@return: The function value generated by the C module.
@rtype: float
"""
# Convert if necessary.
if isinstance(params, ndarray):
params = params.tolist()
# Call the C code.
chi2 = func_exp(params)
# Return the chi2 value.
return nan_to_num(chi2)
def func_exp(self, params):
"""Wrapper function for the C module, for converting numpy arrays.
@param params: The parameter array from the minimisation code.
@type params: numpy array
@return: The function value generated by the C module.
@rtype: float
"""
# Convert if necessary.
if isinstance(params, ndarray):
params = params.tolist()
# Call the C code.
chi2 = func_exp(params)
# Return the chi2 value.
return nan_to_num(chi2)
