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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 process_frames(self, data, sampling_rate, offset=0, last=False, utterance=None, corpus=None):
 """ Execute the processing of this step and all dependent parent steps. """


        if offset == 0:
            self.steps_sorted = list(nx.algorithms.dag.topological_sort(self.graph))
            self._create_buffers()
            self._define_output_buffers()

        # Update buffers with input data
        self._update_buffers(None, data, offset, last)

        # Go through the ordered (by dependencies) steps
        for step in self.steps_sorted:

            chunk = self.buffers[step].get()

            if chunk is not None:
                res = step.compute(chunk, sampling_rate, utterance=utterance, corpus=corpus)

                # If step is self, we know its the last step so return the data
                if step == self:
                    return res

                # Otherwise update buffers of child steps
                else:
                    self._update_buffers(step, res, chunk.offset + chunk.left_context, chunk.is_last)