nodes: 0, module; 1, function_definition; 2, function_name:suggestion_list; 3, parameters; 4, block; 5, identifier:inp; 6, identifier:options; 7, expression_statement; 8, expression_statement; 9, expression_statement; 10, for_statement; 11, return_statement; 12, comment:"""
       Given an invalid input string and a list of valid options, returns a filtered
       list of valid options sorted based on their similarity with the input.
      """; 13, assignment; 14, assignment; 15, identifier:option; 16, identifier:options; 17, block; 18, call; 19, identifier:options_by_distance; 20, call; 21, identifier:input_threshold; 22, binary_operator:len(inp) / 2; 23, expression_statement; 24, expression_statement; 25, if_statement; 26, identifier:sorted; 27, argument_list; 28, identifier:OrderedDict; 29, argument_list; 30, call; 31, integer:2; 32, assignment; 33, assignment; 34, comparison_operator:distance <= threshold; 35, block; 36, call; 37, keyword_argument; 38, identifier:len; 39, argument_list; 40, identifier:distance; 41, call; 42, identifier:threshold; 43, call; 44, identifier:distance; 45, identifier:threshold; 46, expression_statement; 47, identifier:list; 48, argument_list; 49, identifier:key; 50, lambda; 51, identifier:inp; 52, identifier:lexical_distance; 53, argument_list; 54, identifier:max; 55, argument_list; 56, assignment; 57, call; 58, lambda_parameters; 59, subscript; 60, identifier:inp; 61, identifier:option; 62, identifier:input_threshold; 63, binary_operator:len(option) / 2; 64, integer:1; 65, subscript; 66, identifier:distance; 67, attribute; 68, argument_list; 69, identifier:k; 70, identifier:options_by_distance; 71, identifier:k; 72, call; 73, integer:2; 74, identifier:options_by_distance; 75, identifier:option; 76, identifier:options_by_distance; 77, identifier:keys; 78, identifier:len; 79, argument_list; 80, identifier:option
code: def suggestion_list(inp, options):
      """
       Given an invalid input string and a list of valid options, returns a filtered
       list of valid options sorted based on their similarity with the input.
      """
      options_by_distance = OrderedDict()
      input_threshold = len(inp) / 2
  
      for option in options:
          distance = lexical_distance(inp, option)
          threshold = max(input_threshold, len(option) / 2, 1)
          if distance <= threshold:
              options_by_distance[option] = distance
  
      return sorted(
          list(options_by_distance.keys()), key=lambda k: options_by_distance[k]
      )