



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    snake_case__		(			_lowercase							,	unittest.TestCase	):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE          =      BlenderbotSmallTokenizer
     _SCREAMING_SNAKE_CASE          =      False






     def   lowercase_  (			self    :    Tuple   )  ->List[Any]:
            super().setUp()

            snake_case__				:      Union[str, Any]        =      ['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
            snake_case__				:      Optional[Any]        =      dict(zip(_snake_case,					range(len(_snake_case   )   )   )   )

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

            snake_case__				:      List[Any]        =      os.path.join(self.tmpdirname,					VOCAB_FILES_NAMES['vocab_file']   )
            snake_case__				:      Dict        =      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(_snake_case   ) + '\n'   )
            with open(self.merges_file,					'w',					encoding='utf-8'   ) as fp:
                   fp.write('\n'.join(_snake_case   )   )






     def   lowercase_  (			self    :    Optional[int],					**_snake_case    :    List[str]   )  ->int:
            kwargs.update(self.special_tokens_map   )
            return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname,					**_snake_case   )






     def   lowercase_  (			self    :    Optional[Any],					_snake_case    :    Optional[int]   )  ->List[str]:
            snake_case__				:      Dict        =      'adapt act apte'
            snake_case__				:      Dict        =      'adapt act apte'
            return input_text, output_text






     def   lowercase_  (			self    :    int   )  ->Dict:
            snake_case__				:      List[str]        =      BlenderbotSmallTokenizer(self.vocab_file,					self.merges_file,					**self.special_tokens_map   )
            snake_case__				:      Optional[int]        =      'adapt act apte'
            snake_case__				:      Any        =      ['adapt', 'act', 'ap@@', 'te']
            snake_case__				:      List[Any]        =      tokenizer.tokenize(_snake_case   )
            self.assertListEqual(_snake_case,					_snake_case   )

            snake_case__				:      Dict        =      [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

            snake_case__				:      Union[str, Any]        =      [0, 1, 2, 3, 4, 5]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case   ),					_snake_case   )






     def   lowercase_  (			self    :    List[Any]   )  ->int:
            snake_case__				:      Optional[Any]        =      BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'   )
            assert tok('sam'   ).input_ids == [1_3_8_4]
            snake_case__				:      Dict        =      'I am a small frog.'
            snake_case__				:      Union[str, Any]        =      tok([src_text],					padding=_snake_case,					truncation=_snake_case   )['input_ids']
            snake_case__				:      List[str]        =      tok.batch_decode(_snake_case,					skip_special_tokens=_snake_case,					clean_up_tokenization_spaces=_snake_case   )[0]
            assert src_text != decoded  # I wish it did!
            assert decoded == "i am a small frog ."






     def   lowercase_  (			self    :    Tuple   )  ->List[Any]:
            snake_case__				:      Union[str, Any]        =      BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'   )
            snake_case__				:      Optional[int]        =      'I am a small frog .'
            snake_case__				:      List[str]        =      '.'
            snake_case__				:      Optional[Any]        =      tok(_snake_case   )['input_ids']
            snake_case__				:      str        =      tok(_snake_case   )['input_ids']

            assert encoded[-1] == encoded_dot[0]








"""simple docstring"""





def 				A_  (__a					):

					'''simple docstring'''





					A_								=    len(__a					)
					while cur > 1:
										# Find the maximum number in arr
										A_								=    arr.index(max(arr[0:cur]					)					)
										# Reverse from 0 to mi
										A_								=    arr[mi::-1] + arr[mi + 1 : len(__a					)]
										# Reverse whole list
										A_								=    arr[cur - 1 :: -1] + arr[cur : len(__a					)]
										cur -= 1
					return arr


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




