
"""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    __lowerCamelCase    (  unittest.TestCase  ):

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       str:
       # A mock response for an HTTP head request to emulate server down
       UpperCamelCase__         =    mock.Mock()
       UpperCamelCase__         =    500
       UpperCamelCase__         =    {}
       UpperCamelCase__         =    HTTPError
       UpperCamelCase__         =    {}

       # Download this model to make sure it's in the cache.
       UpperCamelCase__         =    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=_lowercase      ) as mock_head:
           UpperCamelCase__         =    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 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[str]:
       # A mock response for an HTTP head request to emulate server down
       UpperCamelCase__         =    mock.Mock()
       UpperCamelCase__         =    500
       UpperCamelCase__         =    {}
       UpperCamelCase__         =    HTTPError
       UpperCamelCase__         =    {}

       # Download this model to make sure it's in the cache.
       UpperCamelCase__         =    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=_lowercase      ) as mock_head:
           UpperCamelCase__         =    GPTaTokenizerFast.from_pretrained('gpt2'      )
           # This check we did call the fake head request
           mock_head.assert_called()

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Dict:
       # This test is for deprecated behavior and can be removed in v5
       try:
           UpperCamelCase__         =    tempfile.mktemp()
           with open(_lowercase ,				'wb'      ) as f:
               http_get('https://huggingface.co/albert-base-v1/resolve/main/spiece.model' ,				_lowercase      )

           UpperCamelCase__         =    AlbertTokenizer.from_pretrained(_lowercase      )
       finally:
           os.remove(_lowercase      )

       # 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' ,				_lowercase      )
           UpperCamelCase__         =    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 						SCREAMING_SNAKE_CASE__ (					self      )		->       str:
       # This test is for deprecated behavior and can be removed in v5
       UpperCamelCase__         =    AlbertTokenizer.from_pretrained('https://huggingface.co/albert-base-v1/resolve/main/spiece.model'      )







@is_staging_test
class    __lowerCamelCase    (  unittest.TestCase  ):
   a      :				int 						=["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """bla""", """blou"""]

   @classmethod
   def 						SCREAMING_SNAKE_CASE__ (					cls      )		->       Union[str, Any]:
       UpperCamelCase__         =    TOKEN
       HfFolder.save_token(_lowercase      )

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

       tokenizer.push_to_hub('test-tokenizer' ,				use_auth_token=self._token      )
       UpperCamelCase__         =    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(_lowercase ,				repo_id='test-tokenizer' ,				push_to_hub=_lowercase ,				use_auth_token=self._token      )

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

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

       tokenizer.push_to_hub('valid_org/test-tokenizer-org' ,				use_auth_token=self._token      )
       UpperCamelCase__         =    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(
               _lowercase ,				repo_id='valid_org/test-tokenizer-org' ,				push_to_hub=_lowercase ,				use_auth_token=self._token      )

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







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

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

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

           UpperCamelCase__         =    BertTokenizerFast.from_pretrained(_lowercase      )
           bert_tokenizer.save_pretrained(_lowercase      )
           UpperCamelCase__         =    CustomTokenizerFast.from_pretrained(_lowercase      )

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

       UpperCamelCase__         =    AutoTokenizer.from_pretrained(F'{USER}/test-dynamic-tokenizer' ,				trust_remote_code=_lowercase      )
       # 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__         =    AutoTokenizer.from_pretrained(
           F'{USER}/test-dynamic-tokenizer' ,				use_fast=_lowercase ,				trust_remote_code=_lowercase      )
       # 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    __lowerCamelCase    (  unittest.TestCase  ):

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[int]:
       UpperCamelCase__         =    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 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[Any]:
       UpperCamelCase__         =    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 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[Any]:
       UpperCamelCase__         =    Trie()
       trie.add('A'      )
       self.assertEqual(trie.split('ABC'      ) ,				['A', 'BC']      )
       self.assertEqual(trie.split('BCA'      ) ,				['BC', 'A']      )

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

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Dict:
       UpperCamelCase__         =    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 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[str]:
       UpperCamelCase__         =    Trie()
       trie.add('AB'      )
       trie.add('B'      )
       trie.add('C'      )
       self.assertEqual(trie.split('ABC'      ) ,				['AB', 'C']      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Any:
       UpperCamelCase__         =    Trie()
       trie.add('ABC'      )
       trie.add('B'      )
       trie.add('CD'      )
       self.assertEqual(trie.split('ABCD'      ) ,				['ABC', 'D']      )







   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Union[str, Any]:
       # Even if the offsets are wrong, we necessarily output correct string
       # parts.
       UpperCamelCase__         =    Trie()
       UpperCamelCase__         =    trie.cut_text('ABC' ,				[0, 0, 2, 1, 2, 3]      )
       self.assertEqual(_lowercase ,				['AB', 'C']      )












"""simple docstring"""





def   lowerCAmelCase_( SCREAMING_SNAKE_CASE					)					->	list[int]:
    """simple docstring"""

    UpperCamelCase__         =    len(SCREAMING_SNAKE_CASE					)
    for i in range(SCREAMING_SNAKE_CASE					):
        for j in range(i + 1 ,	SCREAMING_SNAKE_CASE					):
            if numbers[j] < numbers[i]:
                UpperCamelCase__       ,						UpperCamelCase__         =    numbers[j], numbers[i]
    return numbers


if __name__ == "__main__":
  A__					: Union[str, Any]=	input("""Enter numbers separated by a comma:\n""").strip()
  A__					: List[Any]=	[int(item) for item in user_input.split(""",""")]
  print(exchange_sort(unsorted))




