



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 	lowerCamelCase__	(       _A							,  unittest.TestCase):



 """simple docstring"""

 a__					: Optional[Any] =  BlenderbotSmallTokenizer
 a__					: List[str] =  False

 def     snake_case_      (    self					:					Optional[Any]      )   ->	Optional[int]:
    super().setUp()

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

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

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

 def     snake_case_      (    self					:					List[str]			,						**__lowerCAmelCase					:					Any      )   ->	Any:
    kwargs.update(self.special_tokens_map      )
    return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname			,						**__lowerCAmelCase      )

 def     snake_case_      (    self					:					List[str]			,						__lowerCAmelCase					:					int      )   ->	Optional[Any]:
    _A      =       '''adapt act apte'''
    _A      =       '''adapt act apte'''
    return input_text, output_text

 def     snake_case_      (    self					:					List[Any]      )   ->	int:
    _A      =       BlenderbotSmallTokenizer(self.vocab_file			,						self.merges_file			,						**self.special_tokens_map      )
    _A      =       '''adapt act apte'''
    _A      =       ['''adapt''', '''act''', '''ap@@''', '''te''']
    _A      =       tokenizer.tokenize(__lowerCAmelCase      )
    self.assertListEqual(__lowerCAmelCase			,						__lowerCAmelCase      )

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

    _A      =       [0, 1, 2, 3, 4, 5]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCAmelCase      )			,						__lowerCAmelCase      )

 def     snake_case_      (    self					:					Dict      )   ->	Any:
    _A      =       BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''      )
    assert tok('''sam'''      ).input_ids == [13_84]
    _A      =       '''I am a small frog.'''
    _A      =       tok([src_text]			,						padding=__lowerCAmelCase			,						truncation=__lowerCAmelCase      )['''input_ids''']
    _A      =       tok.batch_decode(__lowerCAmelCase			,						skip_special_tokens=__lowerCAmelCase			,						clean_up_tokenization_spaces=__lowerCAmelCase      )[0]
    assert src_text != decoded  # I wish it did!
    assert decoded == "i am a small frog ."

 def     snake_case_      (    self					:					Optional[Any]      )   ->	Optional[Any]:
    _A      =       BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''      )
    _A      =       '''I am a small frog .'''
    _A      =       '''.'''
    _A      =       tok(__lowerCAmelCase      )['''input_ids''']
    _A      =       tok(__lowerCAmelCase      )['''input_ids''']

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








from __future__ import annotations

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:dict	,   _snake_case	:str				)  ->     set[str]:
   _A  ,    _A      =       set(_snake_case				), [start]

   while stack:
      _A      =       stack.pop()
      explored.add(_snake_case				)
      # Differences from BFS:
      # 1) pop last element instead of first one
      # 2) add adjacent elements to stack without exploring them
      for adj in reversed(graph[v]				):
         if adj not in explored:
            stack.append(_snake_case				)
   return explored


UpperCAmelCase_		 =					{
    """A""": ["""B""", """C""", """D"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B""", """D"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E""", """G"""],
    """G""": ["""F"""],
}

if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(depth_first_search(G, """A"""))



