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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 get_preprocessor(space):
 """Returns an appropriate preprocessor class for the given space."""


    legacy_patch_shapes(space)
    obs_shape = space.shape

    if isinstance(space, gym.spaces.Discrete):
        preprocessor = OneHotPreprocessor
    elif obs_shape == ATARI_OBS_SHAPE:
        preprocessor = GenericPixelPreprocessor
    elif obs_shape == ATARI_RAM_OBS_SHAPE:
        preprocessor = AtariRamPreprocessor
    elif isinstance(space, gym.spaces.Tuple):
        preprocessor = TupleFlatteningPreprocessor
    elif isinstance(space, gym.spaces.Dict):
        preprocessor = DictFlatteningPreprocessor
    else:
        preprocessor = NoPreprocessor

    return preprocessor