



'''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    lowerCamelCase_       (							SCREAMING_SNAKE_CASE_  ,  unittest.TestCase	):
  """simple docstring"""




  a_				   =BlenderbotSmallTokenizer
  a_				   =False




  def 		_lowercase	(					self :      List[Any]  )   ->   Optional[Any]:
    super().setUp()

    __lowerCamelCase			:			List[Any]       			=					['__start__', 'adapt', 'act', 'ap@@', 'te', '__end__', '__unk__']
    __lowerCamelCase			:			str       			=					dict(zip(_a     ,      range(len(_a  )  )  )  )

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

    __lowerCamelCase			:			Optional[Any]       			=					os.path.join(self.tmpdirname     ,      VOCAB_FILES_NAMES['vocab_file']  )
    __lowerCamelCase			:			Optional[int]       			=					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 :      Optional[Any]     ,      **_a :      List[Any]  )   ->   Union[str, Any]:
    kwargs.update(self.special_tokens_map  )
    return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname     ,      **_a  )




  def 		_lowercase	(					self :      Dict     ,      _a :      Optional[int]  )   ->   Dict:
    __lowerCamelCase			:			Union[str, Any]       			=					'adapt act apte'
    __lowerCamelCase			:			Dict       			=					'adapt act apte'
    return input_text, output_text




  def 		_lowercase	(					self :      str  )   ->   Optional[Any]:
    __lowerCamelCase			:			Optional[Any]       			=					BlenderbotSmallTokenizer(self.vocab_file     ,      self.merges_file     ,      **self.special_tokens_map  )
    __lowerCamelCase			:			List[str]       			=					'adapt act apte'
    __lowerCamelCase			:			str       			=					['adapt', 'act', 'ap@@', 'te']
    __lowerCamelCase			:			Any       			=					tokenizer.tokenize(_a  )
    self.assertListEqual(_a     ,      _a  )

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

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




  def 		_lowercase	(					self :      Union[str, Any]  )   ->   Optional[int]:
    __lowerCamelCase			:			Optional[Any]       			=					BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'  )
    assert tok('sam'  ).input_ids == [1384]
    __lowerCamelCase			:			Any       			=					'I am a small frog.'
    __lowerCamelCase			:			Dict       			=					tok([src_text]     ,      padding=_a     ,      truncation=_a  )['input_ids']
    __lowerCamelCase			:			Union[str, Any]       			=					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 :      List[Any]  )   ->   int:
    __lowerCamelCase			:			Any       			=					BlenderbotSmallTokenizer.from_pretrained('facebook/blenderbot-90M'  )
    __lowerCamelCase			:			str       			=					'I am a small frog .'
    __lowerCamelCase			:			Any       			=					'.'
    __lowerCamelCase			:			Optional[int]       			=					tok(_a  )['input_ids']
    __lowerCamelCase			:			List[Any]       			=					tok(_a  )['input_ids']

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











'''simple docstring'''





import random
from typing import Any

def 			a_	(				_lowerCAmelCase			) -> list[Any]:
  for _ in range(len(_lowerCAmelCase			)			):
    __lowerCamelCase			:			Optional[Any]       			=					random.randint(0			,len(_lowerCAmelCase			) - 1			)
    __lowerCamelCase			:			str       			=					random.randint(0			,len(_lowerCAmelCase			) - 1			)
    __lowerCamelCase			,__lowerCamelCase			:			List[Any]       			=					data[b], data[a]
  return data


if __name__ == "__main__":
   _UpperCamelCase											=		[0, 1, 2, 3, 4, 5, 6, 7]
   _UpperCamelCase											=		['python', 'says', 'hello', '!']
   print('Fisher-Yates Shuffle:')
   print('List', integers, strings)
   print('FY Shuffle', fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))






