"""simple docstring"""



import json
import os
import unittest

from transformers.models.blenderbot_small.tokenization_blenderbot_small import (
    VOCAB_FILES_NAMES,
    BlenderbotSmallTokenizer,
)

from ...test_tokenization_common import TokenizerTesterMixin



class      _A	(						__a							, unittest.TestCase					):




    """simple docstring"""




    UpperCamelCase_	:					Dict							=					BlenderbotSmallTokenizer
    UpperCamelCase_	:					Any							=					False
    def  lowercase					(		self							:     Dict    )    ->       int:
         super().setUp()

         __snake_case				=							['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
         __snake_case				=							dict(zip(A__	,      range(len(A__    )    )    )    )

         __snake_case				=							['''#version: 0.2''', '''a p''', '''t e</w>''', '''ap t</w>''', '''a d''', '''ad apt</w>''', '''a c''', '''ac t</w>''', '''''']
         __snake_case				=							{'''unk_token''': '''__unk__''', '''bos_token''': '''__start__''', '''eos_token''': '''__end__'''}

         __snake_case				=							os.path.join(self.tmpdirname	,      VOCAB_FILES_NAMES['''vocab_file''']    )
         __snake_case				=							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(A__    ) + '''\n'''    )
         with open(self.merges_file	,      '''w'''	,      encoding='''utf-8'''    ) as fp:
              fp.write('''\n'''.join(A__    )    )
    def  lowercase					(		self							:     Dict	,      **A_							:     int    )    ->       Tuple:
         kwargs.update(self.special_tokens_map    )
         return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname	,      **A__    )
    def  lowercase					(		self							:     List[Any]	,      A_							:     List[Any]    )    ->       Dict:
         __snake_case				=							'''adapt act apte'''
         __snake_case				=							'''adapt act apte'''
         return input_text, output_text
    def  lowercase					(		self							:     List[str]    )    ->       Dict:
         __snake_case				=							BlenderbotSmallTokenizer(self.vocab_file	,      self.merges_file	,      **self.special_tokens_map    )
         __snake_case				=							'''adapt act apte'''
         __snake_case				=							['''adapt''', '''act''', '''ap@@''', '''te''']
         __snake_case				=							tokenizer.tokenize(A__    )
         self.assertListEqual(A__	,      A__    )

         __snake_case				=							[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

         __snake_case				=							[0, 1, 2, 3, 4, 5]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(A__    )	,      A__    )
    def  lowercase					(		self							:     Dict    )    ->       Optional[Any]:
         __snake_case				=							BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
         assert tok('''sam'''    ).input_ids == [1_384]
         __snake_case				=							'''I am a small frog.'''
         __snake_case				=							tok([src_text]	,      padding=A__	,      truncation=A__    )['''input_ids''']
         __snake_case				=							tok.batch_decode(A__	,      skip_special_tokens=A__	,      clean_up_tokenization_spaces=A__    )[0]
         assert src_text != decoded  # I wish it did!
         assert decoded == "i am a small frog ."







    def  lowercase					(		self							:     Dict    )    ->       str:
         __snake_case				=							BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''    )
         __snake_case				=							'''I am a small frog .'''
         __snake_case				=							'''.'''
         __snake_case				=							tok(A__    )['''input_ids''']
         __snake_case				=							tok(A__    )['''input_ids''']

         assert encoded[-1] == encoded_dot[0]
"""simple docstring"""



def    SCREAMING_SNAKE_CASE       (     snake_case):
     __snake_case				=							len(snake_case)
     for i in range(length - 1):
          __snake_case				=							i
          for k in range(i + 1,      snake_case):
               if collection[k] < collection[least]:
                    __snake_case				=							k
          if least != i:
               __snake_case		,	__snake_case				=							(collection[i], collection[least])
     return collection


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