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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 read_devkit(f):
 """Read relevant information from the development kit archive. Parameters f : str or file-like object The filename or file-handle for the gzipped TAR archive containing the ILSVRC2010 development kit. Returns ------- synsets : ndarray, 1-dimensional, compound dtype See :func:`read_metadata_mat_file` for details. cost_matrix : ndarray, 2-dimensional, uint8 See :func:`read_metadata_mat_file` for details. raw_valid_groundtruth : ndarray, 1-dimensional, int16 The labels for the ILSVRC2010 validation set, distributed with the development kit code. """

    with tar_open(f) as tar:
        # Metadata table containing class hierarchy, textual descriptions, etc.
        meta_mat = tar.extractfile(DEVKIT_META_PATH)
        synsets, cost_matrix = read_metadata_mat_file(meta_mat)

        # Raw validation data groundtruth, ILSVRC2010 IDs. Confusingly
        # distributed inside the development kit archive.
        raw_valid_groundtruth = numpy.loadtxt(tar.extractfile(
            DEVKIT_VALID_GROUNDTRUTH_PATH), dtype=numpy.int16)
    return synsets, cost_matrix, raw_valid_groundtruth