






"""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 							snake_case							(			__UpperCAmelCase      ,  unittest.TestCase ):

      '''simple docstring'''



      _A     :       Optional[int]         =       BlenderbotSmallTokenizer
      _A     :       List[Any]         =       False

      def       A_					(							self       :      Optional[int] ):


        '''simple docstring'''




        super().setUp()

        __UpperCAmelCase    :						List[str]       =						['''__start__''', '''adapt''', '''act''', '''ap@@''', '''te''', '''__end__''', '''__unk__''']
        __UpperCAmelCase    :						Dict       =						dict(zip(__lowercase						,				range(len(__lowercase ) ) ) )

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

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

      def       A_					(							self       :      int						,				**__lowercase       :      Optional[Any] ):


        '''simple docstring'''




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

      def       A_					(							self       :      str						,				__lowercase       :      Any ):


        '''simple docstring'''




        __UpperCAmelCase    :						Any       =						'''adapt act apte'''
        __UpperCAmelCase    :						Optional[Any]       =						'''adapt act apte'''
        return input_text, output_text

      def       A_					(							self       :      List[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Optional[Any]       =						BlenderbotSmallTokenizer(self.vocab_file						,				self.merges_file						,				**self.special_tokens_map )
        __UpperCAmelCase    :						Dict       =						'''adapt act apte'''
        __UpperCAmelCase    :						Optional[Any]       =						['''adapt''', '''act''', '''ap@@''', '''te''']
        __UpperCAmelCase    :						List[str]       =						tokenizer.tokenize(__lowercase )
        self.assertListEqual(__lowercase						,				__lowercase )

        __UpperCAmelCase    :						Tuple       =						[tokenizer.bos_token] + tokens + [tokenizer.eos_token]

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

      def       A_					(							self       :      Union[str, Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						int       =						BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M''' )
        assert tok('''sam''' ).input_ids == [1_384]
        __UpperCAmelCase    :						List[str]       =						'''I am a small frog.'''
        __UpperCAmelCase    :						Union[str, Any]       =						tok([src_text]						,				padding=__lowercase						,				truncation=__lowercase )['''input_ids''']
        __UpperCAmelCase    :						Any       =						tok.batch_decode(__lowercase						,				skip_special_tokens=__lowercase						,				clean_up_tokenization_spaces=__lowercase )[0]
        assert src_text != decoded  # I wish it did!
        assert decoded == "i am a small frog ."







      def       A_					(							self       :      Dict ):


        '''simple docstring'''




        __UpperCAmelCase    :						List[str]       =						BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M''' )
        __UpperCAmelCase    :						Tuple       =						'''I am a small frog .'''
        __UpperCAmelCase    :						str       =						'''.'''
        __UpperCAmelCase    :						List[str]       =						tok(__lowercase )['''input_ids''']
        __UpperCAmelCase    :						Optional[Any]       =						tok(__lowercase )['''input_ids''']

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






"""simple docstring"""





# flake8: noqa
# Lint as: python3
lowercase__				:Tuple				   =       [
    'VerificationMode',
    'Version',
    'disable_progress_bar',
    'enable_progress_bar',
    'is_progress_bar_enabled',
    'experimental',
]

from .info_utils import VerificationMode
from .logging import disable_progress_bar, enable_progress_bar, is_progress_bar_enabled
from .version import Version
from .experimental import experimental