






'''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_squeezebert import SqueezeBertTokenizer


UpperCamelCase							=logging.get_logger(__name__)

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

UpperCamelCase							={
    "vocab_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt"
        ),
        "squeezebert/squeezebert-mnli": "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt",
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "squeezebert/squeezebert-uncased": (
            "https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli": (
            "https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json"
        ),
        "squeezebert/squeezebert-mnli-headless": (
            "https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json"
        ),
    },
}

UpperCamelCase							={
    "squeezebert/squeezebert-uncased": 512,
    "squeezebert/squeezebert-mnli": 512,
    "squeezebert/squeezebert-mnli-headless": 512,
}


UpperCamelCase							={
    "squeezebert/squeezebert-uncased": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli": {"do_lower_case": True},
    "squeezebert/squeezebert-mnli-headless": {"do_lower_case": True},
}




class     A    (      __SCREAMING_SNAKE_CASE						):






 """simple docstring"""





 __a			:						int      =						VOCAB_FILES_NAMES
 __a			:						Optional[int]      =						PRETRAINED_VOCAB_FILES_MAP
 __a			:						Optional[int]      =						PRETRAINED_INIT_CONFIGURATION
 __a			:						Optional[Any]      =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __a			:						Optional[int]      =						SqueezeBertTokenizer
 def __init__(							self			,     __lowerCAmelCase=None			,     __lowerCAmelCase=None			,     __lowerCAmelCase=True			,     __lowerCAmelCase="[UNK]"			,     __lowerCAmelCase="[SEP]"			,     __lowerCAmelCase="[PAD]"			,     __lowerCAmelCase="[CLS]"			,     __lowerCAmelCase="[MASK]"			,     __lowerCAmelCase=True			,     __lowerCAmelCase=None			,     **__lowerCAmelCase			,     ):
       super().__init__(
           _a			,     tokenizer_file=_a			,     do_lower_case=_a			,     unk_token=_a			,     sep_token=_a			,     pad_token=_a			,     cls_token=_a			,     mask_token=_a			,     tokenize_chinese_chars=_a			,     strip_accents=_a			,     **_a			,     )

       UpperCamelCase_				:   Union[str, Any]					    =							json.loads(self.backend_tokenizer.normalizer.__getstate__() )
       if (
           normalizer_state.get("""lowercase"""			,     _a ) != do_lower_case
           or normalizer_state.get("""strip_accents"""			,     _a ) != strip_accents
           or normalizer_state.get("""handle_chinese_chars"""			,     _a ) != tokenize_chinese_chars
       ):
             UpperCamelCase_				:   List[Any]					    =							getattr(_a			,     normalizer_state.pop("""type""" ) )
             UpperCamelCase_				:   Union[str, Any]					    =							do_lower_case
             UpperCamelCase_				:   List[str]					    =							strip_accents
             UpperCamelCase_				:   Dict					    =							tokenize_chinese_chars
             UpperCamelCase_				:   List[str]					    =							normalizer_class(**_a )

       UpperCamelCase_				:   Any					    =							do_lower_case
 def   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase=None ):
       UpperCamelCase_				:   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   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   Dict					    =							[self.sep_token_id]
       UpperCamelCase_				:   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   _UpperCAmelCase       (							self			,     __lowerCAmelCase			,     __lowerCAmelCase = None ):
       UpperCamelCase_				:   Union[str, Any]					    =							self._tokenizer.model.save(_a			,     name=_a )
       return tuple(_a )














'''simple docstring'''

import warnings

from .generation import TFGenerationMixin




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 warnings.warn(
     '''Importing `TFGenerationMixin` from `src/transformers/generation_tf_utils.py` is deprecated and will '''
     '''be removed in Transformers v5. Import as `from transformers import TFGenerationMixin` instead.''',   SCREAMING_SNAKE_CASE__,   )






