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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 process_other_set(hdf5_file, which_set, image_archive, patch_archive, groundtruth, offset):
 """Process the validation or test set. Parameters hdf5_file : :class:`h5py.File` instance HDF5 file handle to which to write. Assumes `features`, `targets` and `filenames` already exist and have first dimension larger than `sum(images_per_class)`. which_set : str Which set of images is being processed. One of 'train', 'valid', 'test'. Used for extracting the appropriate images from the patch archive. image_archive : str or file-like object The filename or file-handle for the TAR archive containing images. patch_archive : str or file-like object Filename or file handle for the TAR archive of patch images. groundtruth : iterable Iterable container containing scalar 0-based class index for each image, sorted by filename. offset : int The offset in the HDF5 datasets at which to start writing. """

    producer = partial(other_set_producer, image_archive=image_archive,
                       patch_archive=patch_archive,
                       groundtruth=groundtruth, which_set=which_set)
    consumer = partial(image_consumer, hdf5_file=hdf5_file,
                       num_expected=len(groundtruth), offset=offset)
    producer_consumer(producer, consumer)