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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 reindex_like_indexers(target, other):
 """Extract indexers to align target with other. Not public API. Parameters target : Dataset or DataArray Object to be aligned. other : Dataset or DataArray Object to be aligned with. Returns ------- Dict[Any, pandas.Index] providing indexes for reindex keyword arguments. Raises ------ ValueError If any dimensions without labels have different sizes. """

    indexers = {k: v for k, v in other.indexes.items() if k in target.dims}

    for dim in other.dims:
        if dim not in indexers and dim in target.dims:
            other_size = other.sizes[dim]
            target_size = target.sizes[dim]
            if other_size != target_size:
                raise ValueError('different size for unlabeled '
                                 'dimension on argument %r: %r vs %r'
                                 % (dim, other_size, target_size))
    return indexers