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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_tensor_event(self, event, thresholds):
 """Converts a TensorEvent into a dict that encapsulates information on it. Args: event: The TensorEvent to convert. thresholds: An array of floats that ranges from 0 to 1 (in that direction and inclusive of 0 and 1). Returns: A JSON-able dictionary of PR curve data for 1 step. """

    return self._make_pr_entry(
        event.step,
        event.wall_time,
        tensor_util.make_ndarray(event.tensor_proto),
        thresholds)