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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 _do_export(self, remote_function):
 """Pickle a remote function and export it to redis. Args: remote_function: the RemoteFunction object. """

        if self._worker.load_code_from_local:
            return
        # Work around limitations of Python pickling.
        function = remote_function._function
        function_name_global_valid = function.__name__ in function.__globals__
        function_name_global_value = function.__globals__.get(
            function.__name__)
        # Allow the function to reference itself as a global variable
        if not is_cython(function):
            function.__globals__[function.__name__] = remote_function
        try:
            pickled_function = pickle.dumps(function)
        finally:
            # Undo our changes
            if function_name_global_valid:
                function.__globals__[function.__name__] = (
                    function_name_global_value)
            else:
                del function.__globals__[function.__name__]

        check_oversized_pickle(pickled_function,
                               remote_function._function_name,
                               "remote function", self._worker)
        key = (b"RemoteFunction:" + self._worker.task_driver_id.binary() + b":"
               + remote_function._function_descriptor.function_id.binary())
        self._worker.redis_client.hmset(
            key, {
                "driver_id": self._worker.task_driver_id.binary(),
                "function_id": remote_function._function_descriptor.
                function_id.binary(),
                "name": remote_function._function_name,
                "module": function.__module__,
                "function": pickled_function,
                "max_calls": remote_function._max_calls
            })
        self._worker.redis_client.rpush("Exports", key)