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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_sideplot_ranges(plot, element, main, ranges):
 """ Utility to find the range for an adjoined plot given the plot, the element, the Element the plot is adjoined to and the dictionary of ranges. """

    key = plot.current_key
    dims = element.dimensions()
    dim = dims[0] if 'frequency' in dims[1].name else dims[1]
    range_item = main
    if isinstance(main, HoloMap):
        if issubclass(main.type, CompositeOverlay):
            range_item = [hm for hm in main._split_overlays()[1]
                          if dim in hm.dimensions('all')][0]
    else:
        range_item = HoloMap({0: main}, kdims=['Frame'])
        ranges = match_spec(range_item.last, ranges)

    if dim.name in ranges:
        main_range = ranges[dim.name]['combined']
    else:
        framewise = plot.lookup_options(range_item.last, 'norm').options.get('framewise')
        if framewise and range_item.get(key, False):
            main_range = range_item[key].range(dim)
        else:
            main_range = range_item.range(dim)

    # If .main is an NdOverlay or a HoloMap of Overlays get the correct style
    if isinstance(range_item, HoloMap):
        range_item = range_item.last
    if isinstance(range_item, CompositeOverlay):
        range_item = [ov for ov in range_item
                      if dim in ov.dimensions('all')][0]
    return range_item, main_range, dim