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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 apply( self, func, num_splits=None, other_axis_partition=None, maintain_partitioning=True, **kwargs ):
 """Applies func to the object. See notes in Parent class about this method. Args: func: The function to apply. num_splits: The number of times to split the result object. other_axis_partition: Another `DaskFrameAxisPartition` object to apply to func with this one. Returns: A list of `DaskFramePartition` objects. """

        import dask

        if num_splits is None:
            num_splits = len(self.list_of_blocks)

        if other_axis_partition is not None:
            return [
                DaskFramePartition(dask.delayed(obj))
                for obj in deploy_func_between_two_axis_partitions(
                    self.axis,
                    func,
                    num_splits,
                    len(self.list_of_blocks),
                    kwargs,
                    *dask.compute(
                        *tuple(
                            self.list_of_blocks + other_axis_partition.list_of_blocks
                        )
                    )
                )
            ]

        args = [self.axis, func, num_splits, kwargs, maintain_partitioning]

        args.extend(dask.compute(*self.list_of_blocks))
        return [
            DaskFramePartition(dask.delayed(obj)) for obj in deploy_axis_func(*args)
        ]