human
Complete the below
@generated_jit(nopython=True, cache=True)
def _numba_linalg_solve(a, b):

    ''''Solve the linear equation ax = b directly calling a Numba internal
    function. The data in `a` and `b` are interpreted in Fortran order,
    and dtype of `a` and `b` must be the same, one of {float32, float64,
    complex64, complex128}. `a` and `b` are modified in place, and the
    solution is stored in `b`. *No error check is made for the inputs.*
    Parameters
    a : ndarray(ndim=2)
    2-dimensional ndarray of shape (n, n).
    b : ndarray(ndim=1 or 2)
    1-dimensional ndarray of shape (n,) or 2-dimensional ndarray of
    shape (n, nrhs).
    Returns
    r : scalar(int)
    r = 0 if successful.
    Notes
    From github.com/numba/numba/blob/master/numba/targets/linalg.py'
    '''
 ... What is a the Python code you requested?
assistant
#Here is the Python code you requested.
    numba_xgesv = _LAPACK().numba_xgesv(a.dtype)
    kind = ord(_blas_kinds[a.dtype])
    def _numba_linalg_solve_impl(a, b):
        n = a.shape[(-1)]
        if (b.ndim == 1):
            nrhs = 1
        else:
            nrhs = b.shape[(-1)]
        F_INT_nptype = np.int32
        ipiv = np.empty(n, dtype=F_INT_nptype)
        r = numba_xgesv(kind, n, nrhs, a.ctypes, n, ipiv.ctypes, b.ctypes, n)
        return r
    return _numba_linalg_solve_impl