0e22219cfa3b5b8c4af77a452812f03cc3a13a06,scipy/optimize/least_squares.py,,least_squares,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,142

Before Change

    J0 = jac_wrapped(x0, f0)
    if len(J0.shape) != 2:
        raise RuntimeError("`jac` must return at most 2-d array_like, "
                           "sparse matrix or LinearOperator.")

    if J0.shape != (m, n):
        raise RuntimeError("The return value of `jac` has wrong shape.")

After Change

            jac_wrapped = None
        else:
            if jac_sparsity is not None and tr_solver == "exact":
                raise ValueError("Usage of tr_solver="exact" with "
                                 "`jac_sparsity` provided is forbidden.")

            jac_sparsity = check_jac_sparsity(jac_sparsity, m, n)

            def jac_wrapped(x, f):
                J = approx_derivative(fun, x, rel_step=diff_step, method=jac,

Instances