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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def produce(self, **kwargs):
 """Call the primitive function, or the predict method of the primitive. The given keyword arguments will be passed directly to the primitive, if it is a simple function, or to the `produce` method of the primitive instance specified in the JSON annotation, if it is a class. If any of the arguments expected by the fit method had been given during the MLBlock initialization, they will be passed as well. Returns: The output of the call to the primitive function or primitive produce method. """

        produce_args = self._produce_params.copy()
        produce_args.update(kwargs)
        if self._class:
            return getattr(self.instance, self.produce_method)(**produce_args)

        produce_args.update(self._hyperparameters)
        return self.primitive(**produce_args)