Return a new object with the same shape and type as a given object.

    Parameters
    ----------
    other : DataArray, Dataset, or Variable
        The reference object in input
    fill_value : scalar
        Value to fill the new object with before returning it.
    dtype : dtype, optional
        dtype of the new array. If omitted, it defaults to other.dtype.

    Returns
    -------
    out : same as object
        New object with the same shape and type as other, with the data
        filled with fill_value. Coords will be copied from other.
        If other is based on dask, the new one will be as well, and will be
        split in the same chunks.

def full_like(other, fill_value, dtype: Union[str, np.dtype, None] = None):
    """Return a new object with the same shape and type as a given object.

    Parameters
    ----------
    other : DataArray, Dataset, or Variable
        The reference object in input
    fill_value : scalar
        Value to fill the new object with before returning it.
    dtype : dtype, optional
        dtype of the new array. If omitted, it defaults to other.dtype.

    Returns
    -------
    out : same as object
        New object with the same shape and type as other, with the data
        filled with fill_value. Coords will be copied from other.
        If other is based on dask, the new one will be as well, and will be
        split in the same chunks.
    """
    from .dataarray import DataArray
    from .dataset import Dataset
    from .variable import Variable

    if isinstance(other, Dataset):
        data_vars = OrderedDict(
            (k, _full_like_variable(v, fill_value, dtype))
            for k, v in other.data_vars.items())
        return Dataset(data_vars, coords=other.coords, attrs=other.attrs)
    elif isinstance(other, DataArray):
        return DataArray(
            _full_like_variable(other.variable, fill_value, dtype),
            dims=other.dims, coords=other.coords, attrs=other.attrs,
            name=other.name)
    elif isinstance(other, Variable):
        return _full_like_variable(other, fill_value, dtype)
    else:
        raise TypeError("Expected DataArray, Dataset, or Variable")