"""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     UpperCAmelCase						(_UpperCAmelCase    ,unittest.TestCase  ):



    """simple docstring"""

    _UpperCAmelCase	:Dict						    = BlenderbotSmallTokenizer
    _UpperCAmelCase	:str						    = False






    def _snake_case			(   self							):
       super().setUp()

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

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

       lowercase__:   Any					=      os.path.join(self.tmpdirname    ,			VOCAB_FILES_NAMES['''vocab_file''']							)
       lowercase__:   Union[str, Any]					=      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 _snake_case			(   self    ,			**_UpperCAmelCase							):
       kwargs.update(self.special_tokens_map							)
       return BlenderbotSmallTokenizer.from_pretrained(self.tmpdirname    ,			**_UpperCAmelCase							)






    def _snake_case			(   self    ,			_UpperCAmelCase							):
       lowercase__:   List[str]					=      '''adapt act apte'''
       lowercase__:   Any					=      '''adapt act apte'''
       return input_text, output_text






    def _snake_case			(   self							):
       lowercase__:   str					=      BlenderbotSmallTokenizer(self.vocab_file    ,			self.merges_file    ,			**self.special_tokens_map							)
       lowercase__:   Optional[int]					=      '''adapt act apte'''
       lowercase__:   Tuple					=      ['''adapt''', '''act''', '''ap@@''', '''te''']
       lowercase__:   Tuple					=      tokenizer.tokenize(_UpperCAmelCase							)
       self.assertListEqual(_UpperCAmelCase    ,			_UpperCAmelCase							)

       lowercase__:   Optional[Any]					=      [tokenizer.bos_token] + tokens + [tokenizer.eos_token]

       lowercase__:   Optional[int]					=      [0, 1, 2, 3, 4, 5]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCAmelCase							)    ,			_UpperCAmelCase							)






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

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

"""simple docstring"""






import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__A			   = logging.get_logger(__name__)

__A			   = {"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__A			   = {
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

__A			   = {
    "yjernite/retribert-base-uncased": 5_1_2,
}


__A			   = {
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}


class     UpperCAmelCase						(_UpperCAmelCase  ):



    """simple docstring"""

    _UpperCAmelCase	:Dict						    = VOCAB_FILES_NAMES
    _UpperCAmelCase	:str						    = PRETRAINED_VOCAB_FILES_MAP
    _UpperCAmelCase	:Optional[int]						    = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    _UpperCAmelCase	:Optional[int]						    = PRETRAINED_INIT_CONFIGURATION
    _UpperCAmelCase	:str						    = RetriBertTokenizer
    _UpperCAmelCase	:List[str]						    = ["input_ids", "attention_mask"]






    def __init__(   self    ,			_UpperCAmelCase=None    ,			_UpperCAmelCase=None    ,			_UpperCAmelCase=True    ,			_UpperCAmelCase="[UNK]"    ,			_UpperCAmelCase="[SEP]"    ,			_UpperCAmelCase="[PAD]"    ,			_UpperCAmelCase="[CLS]"    ,			_UpperCAmelCase="[MASK]"    ,			_UpperCAmelCase=True    ,			_UpperCAmelCase=None    ,			**_UpperCAmelCase    ,			):
       super().__init__(
           _UpperCAmelCase    ,			tokenizer_file=_UpperCAmelCase    ,			do_lower_case=_UpperCAmelCase    ,			unk_token=_UpperCAmelCase    ,			sep_token=_UpperCAmelCase    ,			pad_token=_UpperCAmelCase    ,			cls_token=_UpperCAmelCase    ,			mask_token=_UpperCAmelCase    ,			tokenize_chinese_chars=_UpperCAmelCase    ,			strip_accents=_UpperCAmelCase    ,			**_UpperCAmelCase    ,			)

       lowercase__:   Optional[Any]					=      json.loads(self.backend_tokenizer.normalizer.__getstate__()							)
       if (
           normalizer_state.get('''lowercase'''    ,			_UpperCAmelCase							) != do_lower_case
           or normalizer_state.get('''strip_accents'''    ,			_UpperCAmelCase							) != strip_accents
           or normalizer_state.get('''handle_chinese_chars'''    ,			_UpperCAmelCase							) != tokenize_chinese_chars
       ):
          lowercase__:   str					=      getattr(_UpperCAmelCase    ,			normalizer_state.pop('''type'''							)							)
          lowercase__:   Optional[Any]					=      do_lower_case
          lowercase__:   Tuple					=      strip_accents
          lowercase__:   str					=      tokenize_chinese_chars
          lowercase__:   Union[str, Any]					=      normalizer_class(**_UpperCAmelCase							)

       lowercase__:   List[str]					=      do_lower_case






    def _snake_case			(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase=None							):
       lowercase__:   Union[str, Any]					=      [self.cls_token_id] + token_ids_a + [self.sep_token_id]

       if token_ids_a:
          output += token_ids_a + [self.sep_token_id]

       return output






    def _snake_case			(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase = None							):
       lowercase__:   Optional[int]					=      [self.sep_token_id]
       lowercase__:   Union[str, Any]					=      [self.cls_token_id]
       if token_ids_a is None:
          return len(cls + token_ids_a + sep							) * [0]
       return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]






    def _snake_case			(   self    ,			_UpperCAmelCase    ,			_UpperCAmelCase = None							):
       lowercase__:   List[str]					=      self._tokenizer.model.save(_UpperCAmelCase    ,			name=_UpperCAmelCase							)
       return tuple(_UpperCAmelCase							)
