





"""simple docstring"""
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 					_SCREAMING_SNAKE_CASE(   unittest.TestCase  ):




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





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Any						=  mock.Mock()
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  5_00
             __SCREAMING_SNAKE_CASE   :Optional[Any]						=  {}
             __SCREAMING_SNAKE_CASE   :Tuple						=  HTTPError
             __SCREAMING_SNAKE_CASE   :Any						=  {}

             # Download this model to make sure it's in the cache.
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  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=SCREAMING_SNAKE_CASE__							) as mock_head:
                   __SCREAMING_SNAKE_CASE   :List[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							)			->      List[Any]:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  mock.Mock()
             __SCREAMING_SNAKE_CASE   :List[Any]						=  5_00
             __SCREAMING_SNAKE_CASE   :int						=  {}
             __SCREAMING_SNAKE_CASE   :Optional[int]						=  HTTPError
             __SCREAMING_SNAKE_CASE   :List[str]						=  {}

             # Download this model to make sure it's in the cache.
             __SCREAMING_SNAKE_CASE   :Union[str, 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=SCREAMING_SNAKE_CASE__							) as mock_head:
                   __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  GPTaTokenizerFast.from_pretrained('''gpt2'''							)
                   # This check we did call the fake head request
                   mock_head.assert_called()




       def     _UpperCamelCase     (						self							)			->      str:





             """simple docstring"""






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

                   __SCREAMING_SNAKE_CASE   :List[Any]						=  AlbertTokenizer.from_pretrained(SCREAMING_SNAKE_CASE__							)
             finally:
                   os.remove(SCREAMING_SNAKE_CASE__							)

             # 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'''		,SCREAMING_SNAKE_CASE__							)
                   __SCREAMING_SNAKE_CASE   :List[str]						=  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		,10_00							)
                   # Tokenizer should depend on the remote checkpoint, not the local tokenizer.json file.

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




       def     _UpperCamelCase     (						self							)			->      Optional[Any]:





             """simple docstring"""






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






@is_staging_test
class 					_SCREAMING_SNAKE_CASE(   unittest.TestCase  ):
       SCREAMING_SNAKE_CASE_   :      int							=  ['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''bla''', '''blou''']




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





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  TOKEN
             HfFolder.save_token(SCREAMING_SNAKE_CASE__							)




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





             """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							)			->      List[str]:





             """simple docstring"""






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

             tokenizer.push_to_hub('''test-tokenizer'''		,use_auth_token=self._token							)
             __SCREAMING_SNAKE_CASE   :Optional[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(SCREAMING_SNAKE_CASE__		,repo_id='''test-tokenizer'''		,push_to_hub=SCREAMING_SNAKE_CASE__		,use_auth_token=self._token							)

             __SCREAMING_SNAKE_CASE   :int						=  BertTokenizer.from_pretrained(f'''{USER}/test-tokenizer'''							)
             self.assertDictEqual(new_tokenizer.vocab		,tokenizer.vocab							)




       def     _UpperCamelCase     (						self							)			->      Optional[Any]:





             """simple docstring"""






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

             tokenizer.push_to_hub('''valid_org/test-tokenizer-org'''		,use_auth_token=self._token							)
             __SCREAMING_SNAKE_CASE   :Tuple						=  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(
                       SCREAMING_SNAKE_CASE__		,repo_id='''valid_org/test-tokenizer-org'''		,push_to_hub=SCREAMING_SNAKE_CASE__		,use_auth_token=self._token							)

             __SCREAMING_SNAKE_CASE   :Tuple						=  BertTokenizer.from_pretrained('''valid_org/test-tokenizer-org'''							)
             self.assertDictEqual(new_tokenizer.vocab		,tokenizer.vocab							)




       @require_tokenizers
       def     _UpperCamelCase     (						self							)			->      Any:





             """simple docstring"""






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

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

             __SCREAMING_SNAKE_CASE   :List[Any]						=  AutoTokenizer.from_pretrained(f'''{USER}/test-dynamic-tokenizer'''		,trust_remote_code=SCREAMING_SNAKE_CASE__							)
             # 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:
                   __SCREAMING_SNAKE_CASE   :Optional[Any]						=  os.path.join(SCREAMING_SNAKE_CASE__		,'''vocab.txt'''							)
                   with open(SCREAMING_SNAKE_CASE__		,'''w'''		,encoding='''utf-8'''							) as vocab_writer:
                         vocab_writer.write(''''''.join([x + '''\n''' for x in self.vocab_tokens]							)							)

                   __SCREAMING_SNAKE_CASE   :int						=  BertTokenizerFast.from_pretrained(SCREAMING_SNAKE_CASE__							)
                   bert_tokenizer.save_pretrained(SCREAMING_SNAKE_CASE__							)
                   __SCREAMING_SNAKE_CASE   :str						=  CustomTokenizerFast.from_pretrained(SCREAMING_SNAKE_CASE__							)

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

             __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  AutoTokenizer.from_pretrained(f'''{USER}/test-dynamic-tokenizer'''		,trust_remote_code=SCREAMING_SNAKE_CASE__							)
             # 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'''							)
             __SCREAMING_SNAKE_CASE   :List[Any]						=  AutoTokenizer.from_pretrained(
                 f'''{USER}/test-dynamic-tokenizer'''		,use_fast=SCREAMING_SNAKE_CASE__		,trust_remote_code=SCREAMING_SNAKE_CASE__							)
             # 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 					_SCREAMING_SNAKE_CASE(   unittest.TestCase  ):




       def     _UpperCamelCase     (						self							)			->      Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Optional[int]						=  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							)			->      Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Tuple						=  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							)			->      Optional[int]:





             """simple docstring"""






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




       def     _UpperCamelCase     (						self							)			->      Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :List[str]						=  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							)			->      Tuple:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Optional[int]						=  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							)			->      Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Optional[int]						=  Trie()
             trie.add('''AB'''							)
             trie.add('''B'''							)
             trie.add('''C'''							)
             self.assertEqual(trie.split('''ABC'''							)		,['''AB''', '''C''']							)




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





             """simple docstring"""






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




       def     _UpperCamelCase     (						self							)			->      Dict:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE   :Tuple						=  Trie()
             __SCREAMING_SNAKE_CASE   :int						=  trie.cut_text('''ABC'''		,[0, 0, 2, 1, 2, 3]							)
             self.assertEqual(SCREAMING_SNAKE_CASE__		,['''AB''', '''C''']							)






"""simple docstring"""
def      __lowerCamelCase   (							a_     :		list							)			->      list:

      if len(a_							) < 2:
            return collection

      def circle_sort_util(a_     :		list ,   a_     :		int ,   a_     :		int							) -> bool:
            __SCREAMING_SNAKE_CASE   :int						=  False

            if low == high:
                  return swapped

            __SCREAMING_SNAKE_CASE   :int						=  low
            __SCREAMING_SNAKE_CASE   :Tuple						=  high

            while left < right:
                  if collection[left] > collection[right]:
                        __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :str						=  (
                            collection[right],
                            collection[left],
                        )
                        __SCREAMING_SNAKE_CASE   :Optional[int]						=  True

                  left += 1
                  right -= 1

            if left == right and collection[left] > collection[right + 1]:
                  __SCREAMING_SNAKE_CASE				,__SCREAMING_SNAKE_CASE   :Tuple						=  (
                      collection[right + 1],
                      collection[left],
                  )

                  __SCREAMING_SNAKE_CASE   :Tuple						=  True

            __SCREAMING_SNAKE_CASE   :int						=  low + int((high - low) / 2							)
            __SCREAMING_SNAKE_CASE   :int						=  circle_sort_util(a_ ,   a_ ,   a_							)
            __SCREAMING_SNAKE_CASE   :Union[str, Any]						=  circle_sort_util(a_ ,   mid + 1 ,   a_							)

            return swapped or left_swap or right_swap

      __SCREAMING_SNAKE_CASE   :Optional[Any]						=  True

      while is_not_sorted is True:
            __SCREAMING_SNAKE_CASE   :Tuple						=  circle_sort_util(a_ ,   0 ,   len(a_							) - 1							)

      return collection


if __name__ == "__main__":
  lowerCamelCase_								=		input("Enter numbers separated by a comma:\n").strip()
  lowerCamelCase_								=		[int(item) for item in user_input.split(",")]
  print(circle_sort(unsorted))