def fun_wrap()

in dict_minimize/core/_scipy.py [0:0]

• 11 lines of code
• 3 McCabe index (conditional complexity)

    def fun_wrap(x):
        # Put back in dict form for objective
        x_dict = _unpack(x, from_np, shapes, x0_dtypes)

        # Evaluate objective
        val, dx_dict = fun(x_dict, *args)

        # Re-pack into vec form
        val = to_np_validated(val)
        dval, _ = _pack(dx_dict, to_np_validated, shapes)

        # Put objective as native type to ensure as simple as possible for scipy
        # This assert could be made an exception
        assert val.shape == (), "Objective function must return scalar."
        val = val.item()

        # Validate all again
        assert isinstance(val, float)
        assert isinstance(dval, np.ndarray)
        assert dval.dtype == SCIPY_DTYPE
        return val, dval