human
Solve the following python programming problem given the following code:
@ overload (np.random.multinomial) 
def multinomial(n, pvals, size = None) : 
    dtype = np.intp 
    @ jit (nopython = True) 
    def multinomial_inner(n, pvals, out) : 
        fl = out.flat 
        sz = out.size 
        plen = len (pvals) 
        for i in range (0, sz, plen) : 
            p_sum = 1.0 
            n_experiments = n 
            for j in range (0, (plen - 1)) : 
                p_j = pvals [j] 
                n_j = fl [(i + j)] = np.random.binomial (n_experiments, (p_j / p_sum)) 
                n_experiments -= n_j 
                if (n_experiments <= 0) : 
                    break 
p_sum -= p_j 
if (n_experiments > 0) : 
                fl [((i + plen) - 1)] = n_experiments 
if (not isinstance (n, types.Integer)) : 
        raise TypeError (('np.random.multinomial(): n should be an integer, got %s' % (n,))) 
if (not isinstance (pvals, (types.Sequence, types.Array))) : 
        raise TypeError (('np.random.multinomial(): pvals should be an array or sequence, got %s' % (multinomial_impl,))) 
if (size in (None, types.none)) : 
        def multinomial_impl(n, pvals, size = None) : 
            '
            multinomial(..., size=None)
            ' 
            out = np.zeros (len (pvals), dtype) 
            multinomial_inner (n, pvals, out) 
            return out 
else : 
        if isinstance (size, types.Integer) : 
            def multinomial_impl(n, pvals, size = None) : 
                '
            multinomial(..., size=int)
            ' 
                out = np.zeros ((size, len (pvals)), dtype) 
                multinomial_inner (n, pvals, out) 
                return out 
else : 
            if isinstance (size, types.BaseTuple) : 
                def multinomial_impl(n, pvals, size = None) : 
                    '
            multinomial(..., size=tuple)
            ' 
                    out = np.zeros ((size + (len (pvals),)), dtype) 
                    multinomial_inner (n, pvals, out) 
                    return out 
else : 
                raise TypeError...

    
    

    Fix the buggy line: raise TypeError (('np.random.multinomial(): pvals should be an array or sequence, got %s' % (multinomial_impl,)))
assistant
#Here is Python code to fix the buggy line: raise TypeError (('np.

raise TypeError (('np.random.multinomial(): pvals should be an array or sequence, got %s' % (pvals,)))