


'''simple docstring'''
def    a__			(   lowerCAmelCase__		)       ->      str:
    # if the collection is empty, returns empty
    if collection == []:
        return []

    # get some information about the collection
    UpperCAmelCase__     :						Optional[int]						=							len(lowerCAmelCase__		)
    UpperCAmelCase__     :						int						=							max(lowerCAmelCase__		)
    UpperCAmelCase__     :						Optional[int]						=							min(lowerCAmelCase__		)

    # create the counting array
    UpperCAmelCase__     :						Optional[Any]						=							coll_max + 1 - coll_min
    UpperCAmelCase__     :						Optional[int]						=							[0] * counting_arr_length

    # count how much a number appears in the collection
    for number in collection:
        counting_arr[number - coll_min] += 1

    # sum each position with it's predecessors. now, counting_arr[i] tells
    # us how many elements <= i has in the collection
    for i in range(1    ,   lowerCAmelCase__		):
        UpperCAmelCase__     :						str						=							counting_arr[i] + counting_arr[i - 1]

    # create the output collection
    UpperCAmelCase__     :						Tuple						=							[0] * coll_len

    # place the elements in the output, respecting the original order (stable
    # sort) from end to begin, updating counting_arr
    for i in reversed(range(0    ,   lowerCAmelCase__		)		):
        UpperCAmelCase__     :						List[Any]						=							collection[i]
        counting_arr[collection[i] - coll_min] -= 1

    return ordered





def    a__			(   lowerCAmelCase__		)       ->      Dict:
    return "".join([chr(lowerCAmelCase__		) for i in counting_sort([ord(lowerCAmelCase__		) for c in string]		)]		)


if __name__ == "__main__":
  # Test string sort
  assert counting_sort_string('''thisisthestring''') == "eghhiiinrsssttt"

  UpperCamelCase__          = input('''Enter numbers separated by a comma:\n''').strip()
  UpperCamelCase__          = [int(item) for item in user_input.split(''',''')]
  print(counting_sort(unsorted))





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin



class        lowerCAmelCase__					(  _lowerCamelCase ,				unittest.TestCase       ):
				A_   :     int								=     CTRLTokenizer
				A_   :     List[str]								=     False
				A_   :     str								=     False


				def __UpperCamelCase						(							self      :  Any       )		->     Tuple:
											super().setUp()

											# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
											A      						=    ['adapt', 're@@', 'a@@', 'apt', 'c@@', 't', '<unk>']
											A      						=    dict(zip(__UpperCamelCase						, range(len(__UpperCamelCase       )       )       )       )
											A      						=    ['#version: 0.2', 'a p', 'ap t</w>', 'r e', 'a d', 'ad apt</w>', '']
											A      						=    {'unk_token': '<unk>'}

											A      						=    os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['vocab_file']       )
											A      						=    os.path.join(self.tmpdirname						, VOCAB_FILES_NAMES['merges_file']       )
											with open(self.vocab_file						, 'w'						, encoding='utf-8'       ) as fp:
																		fp.write(json.dumps(__UpperCamelCase       ) + '\n'       )
											with open(self.merges_file						, 'w'						, encoding='utf-8'       ) as fp:
																		fp.write('\n'.join(__UpperCamelCase       )       )


				def __UpperCamelCase						(							self      :  Optional[Any]						, **__UpperCamelCase      :  List[str]       )		->     List[Any]:
											kwargs.update(self.special_tokens_map       )
											return CTRLTokenizer.from_pretrained(self.tmpdirname						, **__UpperCamelCase       )


				def __UpperCamelCase						(							self      :  int						, __UpperCamelCase      :  Optional[int]       )		->     Optional[Any]:
											A      						=    'adapt react readapt apt'
											A      						=    'adapt react readapt apt'
											return input_text, output_text


				def __UpperCamelCase						(							self      :  List[Any]       )		->     Optional[int]:
											A      						=    CTRLTokenizer(self.vocab_file						, self.merges_file						, **self.special_tokens_map       )
											A      						=    'adapt react readapt apt'
											A      						=    'adapt re@@ a@@ c@@ t re@@ adapt apt'.split()
											A      						=    tokenizer.tokenize(__UpperCamelCase       )
											self.assertListEqual(__UpperCamelCase						, __UpperCamelCase       )

											A      						=    tokens + [tokenizer.unk_token]

											A      						=    [0, 1, 2, 4, 5, 1, 0, 3, 6]
											self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase       )						, __UpperCamelCase       )