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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 pbmc68k_reduced() -> AnnData: """Subsampled and processed 68k PBMCs. 10x PBMC 68k dataset from https://support.10xgenomics.com/single-cell-gene-expression/datasets The original PBMC 68k dataset was preprocessed using scanpy and was saved keeping only 724 cells and 221 highly variable genes. The saved file contains the annotation of cell types (key: 'bulk_labels'), UMAP coordinates, louvain clustering and gene rankings based on the bulk_labels. Returns ------- Annotated data matrix. """


    filename = os.path.dirname(__file__) + '/10x_pbmc68k_reduced.h5ad'
    return sc.read(filename)