


def 			_a  (				SCREAMING_SNAKE_CASE	:				int     ):







 """simple docstring"""



 if collection == []:
  return []

 # get some information about the collection
 UpperCamelCase__					:    Optional[Any]          =   len(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    List[str]          =   max(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    List[Any]          =   min(SCREAMING_SNAKE_CASE     )

 # create the counting array
 UpperCamelCase__					:    Optional[Any]          =   coll_max + 1 - coll_min
 UpperCamelCase__					:    List[Any]          =   [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    , SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Any          =   counting_arr[i] + counting_arr[i - 1]

 # create the output collection
 UpperCamelCase__					:    Optional[Any]          =   [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    , SCREAMING_SNAKE_CASE     )     ):
  UpperCamelCase__					:    int          =   collection[i]
  counting_arr[collection[i] - coll_min] -= 1

 return ordered

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 return "".join([chr(SCREAMING_SNAKE_CASE     ) for i in counting_sort([ord(SCREAMING_SNAKE_CASE     ) for c in string]     )]     )


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

       __UpperCamelCase       :       Optional[Any]						       =				input("Enter numbers separated by a comma:\n").strip()
       __UpperCamelCase       :       Tuple						       =				[int(item) for item in user_input.split(",")]
       print(counting_sort(unsorted))






import os
import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from huggingface_hub.file_download import http_get
from requests.exceptions import HTTPError

from transformers import (
    AlbertTokenizer,
    AutoTokenizer,
    BertTokenizer,
    BertTokenizerFast,
    GPTaTokenizerFast,
    is_tokenizers_available,
)
from transformers.testing_utils import TOKEN, USER, is_staging_test, require_tokenizers
from transformers.tokenization_utils import Trie


sys.path.append(str(Path(__file__).parent.parent / "utils"))

from test_module.custom_tokenization import CustomTokenizer  # noqa E402


if is_tokenizers_available():
       from test_module.custom_tokenization_fast import CustomTokenizerFast

class       __magic_name__	(     unittest.TestCase):


     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      int:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   mock.Mock()
      UpperCamelCase__					:    Tuple          =   500
      UpperCamelCase__					:    Dict          =   {}
      UpperCamelCase__					:    Dict          =   HTTPError
      UpperCamelCase__					:    Optional[Any]          =   {}

      # Download this model to make sure it's in the cache.
      UpperCamelCase__					:    List[Any]          =   BertTokenizer.from_pretrained('''hf-internal-testing/tiny-random-bert'''			)

      # Under the mock environment we get a 500 error when trying to reach the tokenizer.
      with mock.patch('''requests.Session.request'''							,	return_value=lowerCamelCase__			) as mock_head:
       UpperCamelCase__					:    Any          =   BertTokenizer.from_pretrained('''hf-internal-testing/tiny-random-bert'''			)
       # This check we did call the fake head request
       mock_head.assert_called()


     @require_tokenizers
     def      UpperCAmelCase__	(      self							:     str			)  ->      Any:





      '''simple docstring'''






      UpperCamelCase__					:    Union[str, Any]          =   mock.Mock()
      UpperCamelCase__					:    Any          =   500
      UpperCamelCase__					:    str          =   {}
      UpperCamelCase__					:    Optional[Any]          =   HTTPError
      UpperCamelCase__					:    Tuple          =   {}

      # Download this model to make sure it's in the cache.
      UpperCamelCase__					:    Optional[Any]          =   GPTaTokenizerFast.from_pretrained('''gpt2'''			)

      # Under the mock environment we get a 500 error when trying to reach the tokenizer.
      with mock.patch('''requests.Session.request'''							,	return_value=lowerCamelCase__			) as mock_head:
       UpperCamelCase__					:    str          =   GPTaTokenizerFast.from_pretrained('''gpt2'''			)
       # This check we did call the fake head request
       mock_head.assert_called()


     def      UpperCAmelCase__	(      self							:     Any			)  ->      List[str]:





      '''simple docstring'''






      try:
       UpperCamelCase__					:    Dict          =   tempfile.mktemp()
       with open(lowerCamelCase__							,	'''wb'''			) as f:
        http_get('''https://huggingface.co/albert-base-v1/resolve/main/spiece.model'''							,	lowerCamelCase__			)

       UpperCamelCase__					:    Dict          =   AlbertTokenizer.from_pretrained(lowerCamelCase__			)
      finally:
       os.remove(lowerCamelCase__			)

      # Supporting this legacy load introduced a weird bug where the tokenizer would load local files if they are in
      # the current folder and have the right name.
      if os.path.isfile('''tokenizer.json'''			):
       # We skip the test if the user has a `tokenizer.json` in this folder to avoid deleting it.
       return
      try:
       with open('''tokenizer.json'''							,	'''wb'''			) as f:
        http_get('''https://huggingface.co/hf-internal-testing/tiny-random-bert/blob/main/tokenizer.json'''							,	lowerCamelCase__			)
       UpperCamelCase__					:    Union[str, Any]          =   AutoTokenizer.from_pretrained('''hf-internal-testing/tiny-random-gpt2'''			)
       # The tiny random BERT has a vocab size of 1024, tiny gpt2 as a vocab size of 1000
       self.assertEqual(tokenizer.vocab_size							,	1000			)
       # Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

      finally:
       os.remove('''tokenizer.json'''			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      int:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   AlbertTokenizer.from_pretrained('''https://huggingface.co/albert-base-v1/resolve/main/spiece.model'''			)



@is_staging_test
class       __magic_name__	(     unittest.TestCase):
     A:		List[Any]			=      ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "bla", "blou"]


     @classmethod
     def      UpperCAmelCase__	(      cls							:     List[str]			)  ->      int:





      '''simple docstring'''






      UpperCamelCase__					:    List[str]          =   TOKEN
      HfFolder.save_token(lowerCamelCase__			)


     @classmethod
     def      UpperCAmelCase__	(      cls							:     Any			)  ->      Optional[Any]:





      '''simple docstring'''






      try:
       delete_repo(token=cls._token							,	repo_id='''test-tokenizer'''			)
      except HTTPError:
       pass

      try:
       delete_repo(token=cls._token							,	repo_id='''valid_org/test-tokenizer-org'''			)
      except HTTPError:
       pass

      try:
       delete_repo(token=cls._token							,	repo_id='''test-dynamic-tokenizer'''			)
      except HTTPError:
       pass


     def      UpperCAmelCase__	(      self							:     Union[str, Any]			)  ->      Optional[int]:





      '''simple docstring'''






      with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCamelCase__					:    int          =   os.path.join(lowerCamelCase__							,	'''vocab.txt'''			)
       with open(lowerCamelCase__							,	'''w'''							,	encoding='''utf-8'''			) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]			)			)
       UpperCamelCase__					:    Tuple          =   BertTokenizer(lowerCamelCase__			)

      tokenizer.push_to_hub('''test-tokenizer'''							,	use_auth_token=self._token			)
      UpperCamelCase__					:    Union[str, Any]          =   BertTokenizer.from_pretrained(F"{USER}/test-tokenizer"			)
      self.assertDictEqual(new_tokenizer.vocab							,	tokenizer.vocab			)

      # Reset repo
      delete_repo(token=self._token							,	repo_id='''test-tokenizer'''			)

      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
       tokenizer.save_pretrained(lowerCamelCase__							,	repo_id='''test-tokenizer'''							,	push_to_hub=lowerCamelCase__							,	use_auth_token=self._token			)

      UpperCamelCase__					:    str          =   BertTokenizer.from_pretrained(F"{USER}/test-tokenizer"			)
      self.assertDictEqual(new_tokenizer.vocab							,	tokenizer.vocab			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      Optional[int]:





      '''simple docstring'''






      with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCamelCase__					:    Dict          =   os.path.join(lowerCamelCase__							,	'''vocab.txt'''			)
       with open(lowerCamelCase__							,	'''w'''							,	encoding='''utf-8'''			) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]			)			)
       UpperCamelCase__					:    List[str]          =   BertTokenizer(lowerCamelCase__			)

      tokenizer.push_to_hub('''valid_org/test-tokenizer-org'''							,	use_auth_token=self._token			)
      UpperCamelCase__					:    Optional[Any]          =   BertTokenizer.from_pretrained('''valid_org/test-tokenizer-org'''			)
      self.assertDictEqual(new_tokenizer.vocab							,	tokenizer.vocab			)

      # Reset repo
      delete_repo(token=self._token							,	repo_id='''valid_org/test-tokenizer-org'''			)

      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
       tokenizer.save_pretrained(
           lowerCamelCase__							,	repo_id='''valid_org/test-tokenizer-org'''							,	push_to_hub=lowerCamelCase__							,	use_auth_token=self._token			)

      UpperCamelCase__					:    Union[str, Any]          =   BertTokenizer.from_pretrained('''valid_org/test-tokenizer-org'''			)
      self.assertDictEqual(new_tokenizer.vocab							,	tokenizer.vocab			)


     @require_tokenizers
     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      int:





      '''simple docstring'''






      CustomTokenizer.register_for_auto_class()
      with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCamelCase__					:    List[Any]          =   os.path.join(lowerCamelCase__							,	'''vocab.txt'''			)
       with open(lowerCamelCase__							,	'''w'''							,	encoding='''utf-8'''			) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]			)			)
       UpperCamelCase__					:    Any          =   CustomTokenizer(lowerCamelCase__			)

      # No fast custom tokenizer
      tokenizer.push_to_hub('''test-dynamic-tokenizer'''							,	use_auth_token=self._token			)

      UpperCamelCase__					:    str          =   AutoTokenizer.from_pretrained(F"{USER}/test-dynamic-tokenizer"							,	trust_remote_code=lowerCamelCase__			)
      # Can't make an isinstance check because the new_model.config is from the CustomTokenizer class of a dynamic module
      self.assertEqual(tokenizer.__class__.__name__							,	'''CustomTokenizer'''			)

      # Fast and slow custom tokenizer
      CustomTokenizerFast.register_for_auto_class()
      with tempfile.TemporaryDirectory() as tmp_dir:
       UpperCamelCase__					:    List[Any]          =   os.path.join(lowerCamelCase__							,	'''vocab.txt'''			)
       with open(lowerCamelCase__							,	'''w'''							,	encoding='''utf-8'''			) as vocab_writer:
        vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]			)			)

       UpperCamelCase__					:    List[Any]          =   BertTokenizerFast.from_pretrained(lowerCamelCase__			)
       bert_tokenizer.save_pretrained(lowerCamelCase__			)
       UpperCamelCase__					:    Optional[int]          =   CustomTokenizerFast.from_pretrained(lowerCamelCase__			)

      tokenizer.push_to_hub('''test-dynamic-tokenizer'''							,	use_auth_token=self._token			)

      UpperCamelCase__					:    str          =   AutoTokenizer.from_pretrained(F"{USER}/test-dynamic-tokenizer"							,	trust_remote_code=lowerCamelCase__			)
      # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
      self.assertEqual(tokenizer.__class__.__name__							,	'''CustomTokenizerFast'''			)
      UpperCamelCase__					:    int          =   AutoTokenizer.from_pretrained(
          F"{USER}/test-dynamic-tokenizer"							,	use_fast=lowerCamelCase__							,	trust_remote_code=lowerCamelCase__			)
      # Can't make an isinstance check because the new_model.config is from the FakeConfig class of a dynamic module
      self.assertEqual(tokenizer.__class__.__name__							,	'''CustomTokenizer'''			)



class       __magic_name__	(     unittest.TestCase):


     def      UpperCAmelCase__	(      self							:     str			)  ->      Dict:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   Trie()
      trie.add('''Hello 友達'''			)
      self.assertEqual(trie.data							,	{'''H''': {'''e''': {'''l''': {'''l''': {'''o''': {''' ''': {'''友''': {'''達''': {'''''': 1}}}}}}}}}			)
      trie.add('''Hello'''			)
      trie.data
      self.assertEqual(trie.data							,	{'''H''': {'''e''': {'''l''': {'''l''': {'''o''': {'''''': 1, ''' ''': {'''友''': {'''達''': {'''''': 1}}}}}}}}}			)


     def      UpperCAmelCase__	(      self							:     str			)  ->      str:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   Trie()
      self.assertEqual(trie.split('''[CLS] This is a extra_id_100'''			)							,	['''[CLS] This is a extra_id_100''']			)
      trie.add('''[CLS]'''			)
      trie.add('''extra_id_1'''			)
      trie.add('''extra_id_100'''			)
      self.assertEqual(trie.split('''[CLS] This is a extra_id_100'''			)							,	['''[CLS]''', ''' This is a ''', '''extra_id_100''']			)


     def      UpperCAmelCase__	(      self							:     int			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   Trie()
      trie.add('''A'''			)
      self.assertEqual(trie.split('''ABC'''			)							,	['''A''', '''BC''']			)
      self.assertEqual(trie.split('''BCA'''			)							,	['''BC''', '''A''']			)


     def      UpperCAmelCase__	(      self							:     Dict			)  ->      Optional[int]:





      '''simple docstring'''






      UpperCamelCase__					:    Any          =   Trie()
      trie.add('''TOKEN]'''			)
      trie.add('''[SPECIAL_TOKEN]'''			)
      self.assertEqual(trie.split('''This is something [SPECIAL_TOKEN]'''			)							,	['''This is something ''', '''[SPECIAL_TOKEN]''']			)


     def      UpperCAmelCase__	(      self							:     List[str]			)  ->      Optional[Any]:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   Trie()
      trie.add('''A'''			)
      trie.add('''P'''			)
      trie.add('''[SPECIAL_TOKEN]'''			)
      self.assertEqual(trie.split('''This is something [SPECIAL_TOKEN]'''			)							,	['''This is something ''', '''[SPECIAL_TOKEN]''']			)


     def      UpperCAmelCase__	(      self							:     Any			)  ->      List[str]:





      '''simple docstring'''






      UpperCamelCase__					:    List[Any]          =   Trie()
      trie.add('''AB'''			)
      trie.add('''B'''			)
      trie.add('''C'''			)
      self.assertEqual(trie.split('''ABC'''			)							,	['''AB''', '''C''']			)


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      int:





      '''simple docstring'''






      UpperCamelCase__					:    int          =   Trie()
      trie.add('''ABC'''			)
      trie.add('''B'''			)
      trie.add('''CD'''			)
      self.assertEqual(trie.split('''ABCD'''			)							,	['''ABC''', '''D''']			)


     def      UpperCAmelCase__	(      self							:     Optional[int]			)  ->      Union[str, Any]:





      '''simple docstring'''






      UpperCamelCase__					:    Dict          =   Trie()
      UpperCamelCase__					:    Optional[Any]          =   trie.cut_text('''ABC'''							,	[0, 0, 2, 1, 2, 3]			)
      self.assertEqual(lowerCamelCase__							,	['''AB''', '''C''']			)


