





'''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 			SCREAMING_SNAKE_CASE   (lowerCamelCase_ ,		unittest.TestCase							):
     lowerCAmelCase		      =	BlenderbotSmallTokenizer
     lowerCAmelCase		      =	False


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          super().setUp()

          __A						:			int								=	['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
          __A						:			Dict								=	dict(zip(_UpperCAmelCase						,     range(len(_UpperCAmelCase))))

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

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


     def 							SCREAMING_SNAKE_CASE  (						self						,     **_UpperCAmelCase):

          '''simple docstring'''






          kwargs.update(self.special_tokens_map)
          return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname						,     **_UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self						,     _UpperCAmelCase):

          '''simple docstring'''






          __A						:			Tuple								=	'adapt act apte'
          __A						:			str								=	'adapt act apte'
          return input_text, output_text


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			int								=	BlenderbotSmallTokenizer(self.vocab_file						,     self.merges_file						,     **self.special_tokens_map)
          __A						:			Any								=	'adapt act apte'
          __A						:			List[Any]								=	['adapt', 'act', 'ap@@', 'te']
          __A						:			Union[str, Any]								=	tokenizer.tokenize(_UpperCAmelCase)
          self.assertListEqual(_UpperCAmelCase						,     _UpperCAmelCase)

          __A						:			str								=	[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

          __A						:			List[Any]								=	[0, 1, 2, 3, 4, 5]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase)						,     _UpperCAmelCase)


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Optional[Any]								=	BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M')
          assert tok('sam').input_ids == [1384]
          __A						:			Union[str, Any]								=	'I am a small frog.'
          __A						:			str								=	tok([src_text]						,     padding=_UpperCAmelCase						,     truncation=_UpperCAmelCase)['input_ids']
          __A						:			Tuple								=	tok.batch_decode(_UpperCAmelCase						,     skip_special_tokens=_UpperCAmelCase						,     clean_up_tokenization_spaces=_UpperCAmelCase)[0]
          assert src_text != decoded  # I wish it did!
          assert decoded == "i am a small frog ."


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Any								=	BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M')
          __A						:			int								=	'I am a small frog .'
          __A						:			Union[str, Any]								=	'.'
          __A						:			str								=	tok(_UpperCAmelCase)['input_ids']
          __A						:			Union[str, Any]								=	tok(_UpperCAmelCase)['input_ids']

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






'''simple docstring'''




from __future__ import annotations






def 	_lowerCAmelCase      (  __snake_case  :			list[int | str]      )					->					None:
     create_state_space_tree(__snake_case			,							[]			,							0			,							[0 for i in range(len(__snake_case      )      )]      )






def 	_lowerCAmelCase      (  __snake_case  :			list[int | str]			,							__snake_case  :			list[int | str]			,							__snake_case  :			int			,							__snake_case  :			list[int]			,							)					->					None:

     if index == len(__snake_case      ):
          print(__snake_case      )
          return

     for i in range(len(__snake_case      )      ):
          if not index_used[i]:
               current_sequence.append(sequence[i]      )
               __A						:			Any								=	True
               create_state_space_tree(__snake_case			,							__snake_case			,							index + 1			,							__snake_case      )
               current_sequence.pop()
               __A						:			Any								=	False
lowercase__   :				list[int | str]      =   [3, 1, 2, 4]
generate_all_permutations(sequence)

lowercase__   :				list[int | str]      =   ["A", "B", "C"]







generate_all_permutations(sequence_a)