def random_fit_data(request, mocker, random_sigma_mock, random_error_mock):
params = request.param
random_array_mock = mocker.patch("eddington.fit_data.random_array")
if "a" in params:
random_array_mock.side_effect = [x]
else:
random_array_mock.side_effect = [a, x]
return (
FitData.random(dummy_func1, **params),
dict(
params=params,
random_array=random_array_mock,
random_sigma=random_sigma_mock,
random_error=random_error_mock,
),
)
def function_cases(odr_mock, request):
func, kwargs, model_extra_kwargs, fit_a0 = (
request.param["func"],
request.param.get("kwargs", {}),
request.param.get("model_extra_kwargs", {}),
request.param.get("a0", a0),
)
data = FitData.random(fit_func=func)
result = fit_to_data(data=data, func=func, a0=fit_a0, **kwargs)
return dict(
func=func,
data=data,
result=result,
model_extra_kwargs=model_extra_kwargs,
a0=fit_a0,
mocks=odr_mock,
)
