human
Solve the following python programming problem given the following code:
def get_model_parameters(self) : 
    ' Return the model parameters in the form of numpy arrays.
        :return: model parameters
        ' 
    with tf.Session () as self.tf_session : 
        self.tf_saver.restore (self.tf_session, self.model_path) 
        def eval_tensors(tens, prefix) : 
            eval_tens = { 
                
} 
            for (i, t) in enumerate (tens) : 
                eval_tens [(prefix + str (i))] = t.eval () 
return { 
            'W' : eval_tensors (eval_tensors.W_vars, 'w'), 
            'bh' : eval_tensors (self.bh_vars, 'bh'), 
            'bv' : eval_tensors (self.bv_vars, 'bv'), 
            'smaxW' : self.softmax_W.eval (), 
            'smaxb' : self.softmax_b.eval (), 
} 

    
    

    Fix the buggy line: 'W' : eval_tensors (eval_tensors.W_vars, 'w') ,
assistant
#Here is Python code to fix the buggy line: 'W' : eval_tensors (eval_tensors.

'W' : eval_tensors (self.W_vars, 'w') ,