def chunk(  # type: ignore[override]
        self,
        chunks: T_Chunks = {},  # noqa: B006  # even though it's technically unsafe, it is being used intentionally here (#4667)
        name: str | None = None,
        lock: bool | None = None,
        inline_array: bool | None = None,
        chunked_array_type: str | ChunkManagerEntrypoint[Any] | None = None,
        from_array_kwargs: Any = None,
        **chunks_kwargs: Any,
    ) -> Self:
        """Coerce this array's data into a dask array with the given chunks.

        If this variable is a non-dask array, it will be converted to dask
        array. If it's a dask array, it will be rechunked to the given chunk
        sizes.

        If neither chunks is not provided for one or more dimensions, chunk
        sizes along that dimension will not be updated; non-dask arrays will be
        converted into dask arrays with a single block.

        Parameters
        ----------
        chunks : int, tuple or dict, optional
            Chunk sizes along each dimension, e.g., ``5``, ``(5, 5)`` or
            ``{'x': 5, 'y': 5}``.
        name : str, optional
            Used to generate the name for this array in the internal dask
            graph. Does not need not be unique.
        lock : bool, default: False
            Passed on to :py:func:`dask.array.from_array`, if the array is not
            already as dask array.
        inline_array : bool, default: False
            Passed on to :py:func:`dask.array.from_array`, if the array is not
            already as dask array.
        chunked_array_type: str, optional
            Which chunked array type to coerce this datasets' arrays to.
            Defaults to 'dask' if installed, else whatever is registered via the `ChunkManagerEntrypoint` system.
            Experimental API that should not be relied upon.
        from_array_kwargs: dict, optional
            Additional keyword arguments passed on to the `ChunkManagerEntrypoint.from_array` method used to create
            chunked arrays, via whichever chunk manager is specified through the `chunked_array_type` kwarg.
            For example, with dask as the default chunked array type, this method would pass additional kwargs
            to :py:func:`dask.array.from_array`. Experimental API that should not be relied upon.
        **chunks_kwargs : {dim: chunks, ...}, optional
            The keyword arguments form of ``chunks``.
            One of chunks or chunks_kwargs must be provided.

        Returns
        -------
        chunked : xarray.Variable

        See Also
        --------
        Variable.chunks
        Variable.chunksizes
        xarray.unify_chunks
        dask.array.from_array
        """

        if from_array_kwargs is None:
            from_array_kwargs = {}

        # TODO deprecate passing these dask-specific arguments explicitly. In future just pass everything via from_array_kwargs
        _from_array_kwargs = consolidate_dask_from_array_kwargs(
            from_array_kwargs,
            name=name,
            lock=lock,
            inline_array=inline_array,
        )

        return super().chunk(
            chunks=chunks,
            chunked_array_type=chunked_array_type,
            from_array_kwargs=_from_array_kwargs,
            **chunks_kwargs,
        )
Coerce this array's data into a dask array with the given chunks.

        If this variable is a non-dask array, it will be converted to dask
        array. If it's a dask array, it will be rechunked to the given chunk
        sizes.

        If neither chunks is not provided for one or more dimensions, chunk
        sizes along that dimension will not be updated; non-dask arrays will be
        converted into dask arrays with a single block.

        Parameters
        ----------
        chunks : int, tuple or dict, optional
            Chunk sizes along each dimension, e.g., ``5``, ``(5, 5)`` or
            ``{'x': 5, 'y': 5}``.
        name : str, optional
            Used to generate the name for this array in the internal dask
            graph. Does not need not be unique.
        lock : bool, default: False
            Passed on to :py:func:`dask.array.from_array`, if the array is not
            already as dask array.
        inline_array : bool, default: False
            Passed on to :py:func:`dask.array.from_array`, if the array is not
            already as dask array.
        chunked_array_type: str, optional
            Which chunked array type to coerce this datasets' arrays to.
            Defaults to 'dask' if installed, else whatever is registered via the `ChunkManagerEntrypoint` system.
            Experimental API that should not be relied upon.
        from_array_kwargs: dict, optional
            Additional keyword arguments passed on to the `ChunkManagerEntrypoint.from_array` method used to create
            chunked arrays, via whichever chunk manager is specified through the `chunked_array_type` kwarg.
            For example, with dask as the default chunked array type, this method would pass additional kwargs
            to :py:func:`dask.array.from_array`. Experimental API that should not be relied upon.
        **chunks_kwargs : {dim: chunks, ...}, optional
            The keyword arguments form of ``chunks``.
            One of chunks or chunks_kwargs must be provided.

        Returns
        -------
        chunked : xarray.Variable

        See Also
        --------
        Variable.chunks
        Variable.chunksizes
        xarray.unify_chunks
        dask.array.from_array
        
xarray/core/variable.py