import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


UpperCamelCase__											=					logging.get_logger(__name__)

UpperCamelCase__											=					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase__											=					{
    'vocab_file': {'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'},
    'tokenizer_file': {
        'mobilebert-uncased': 'https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'
    },
}

UpperCamelCase__											=					{'mobilebert-uncased': 5_1_2}


UpperCamelCase__											=					{}





class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : str      =			VOCAB_FILES_NAMES
   __UpperCAmelCase : str      =			PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase : Any      =			PRETRAINED_INIT_CONFIGURATION
   __UpperCAmelCase : Union[str, Any]      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase : Dict      =			MobileBertTokenizer


   def __init__(self     :						List[str]       ,  __UpperCAmelCase     :						Tuple=None       ,  __UpperCAmelCase     :						str=None       ,  __UpperCAmelCase     :						str=True       ,  __UpperCAmelCase     :						Optional[int]="[UNK]"       ,  __UpperCAmelCase     :						List[str]="[SEP]"       ,  __UpperCAmelCase     :						Tuple="[PAD]"       ,  __UpperCAmelCase     :						int="[CLS]"       ,  __UpperCAmelCase     :						Tuple="[MASK]"       ,  __UpperCAmelCase     :						List[Any]=True       ,  __UpperCAmelCase     :						str=None       ,  **__UpperCAmelCase     :						Tuple       ,  )						->				Tuple:
         """simple docstring"""



         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       ,  )

         UpperCAmelCase__								=  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
         ):
               UpperCAmelCase__								=  getattr(__UpperCAmelCase       ,  normalizer_state.pop("type"		)		)
               UpperCAmelCase__								=  do_lower_case
               UpperCAmelCase__								=  strip_accents
               UpperCAmelCase__								=  tokenize_chinese_chars
               UpperCAmelCase__								=  normalizer_class(**__UpperCAmelCase		)

         UpperCAmelCase__								=  do_lower_case


   def 			lowercase_      (self     :						Dict       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						Optional[Any]=None		)						->				List[str]:
         """simple docstring"""



         UpperCAmelCase__								=  [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 			lowercase_      (self     :						List[str]       ,  __UpperCAmelCase     :						List[int]       ,  __UpperCAmelCase     :						Optional[List[int]] = None		)						->				List[int]:
         """simple docstring"""



         UpperCAmelCase__								=  [self.sep_token_id]
         UpperCAmelCase__								=  [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 			lowercase_      (self     :						str       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						Optional[str] = None		)						->				Tuple[str]:
         """simple docstring"""



         UpperCAmelCase__								=  self._tokenizer.model.save(__UpperCAmelCase       ,  name=__UpperCAmelCase		)
         return tuple(__UpperCAmelCase		)






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}


class       SCREAMING_SNAKE_CASE__					(__snake_case     ):
    __lowerCamelCase						:       Any														=     """distilbert"""
    __lowerCamelCase						:       List[Any]														=     {
        """hidden_size""": """dim""",
        """num_attention_heads""": """n_heads""",
        """num_hidden_layers""": """n_layers""",
    }





    def __init__(      self						,   a=3_0522						,   a=512						,   a=False						,   a=6						,   a=12						,   a=768						,   a=4 * 768						,   a=0.1						,   a=0.1						,   a="gelu"						,   a=0.02						,   a=0.1						,   a=0.2						,   a=0						,   **a						,   ):
         lowercase__    :   int      =       vocab_size
         lowercase__    :   int      =       max_position_embeddings
         lowercase__    :   List[str]      =       sinusoidal_pos_embds
         lowercase__    :   Tuple      =       n_layers
         lowercase__    :   Optional[int]      =       n_heads
         lowercase__    :   List[Any]      =       dim
         lowercase__    :   Any      =       hidden_dim
         lowercase__    :   Union[str, Any]      =       dropout
         lowercase__    :   Optional[int]      =       attention_dropout
         lowercase__    :   List[Any]      =       activation
         lowercase__    :   Union[str, Any]      =       initializer_range
         lowercase__    :   Dict      =       qa_dropout
         lowercase__    :   Tuple      =       seq_classif_dropout
         super().__init__(**a						,   pad_token_id=a)



class       SCREAMING_SNAKE_CASE__					(__snake_case     ):





    @property
    def       snake_case_				(      self):
         if self.task == "multiple-choice":
              lowercase__    :   List[str]      =       {0: 'batch', 1: 'choice', 2: 'sequence'}
         else:
              lowercase__    :   Tuple      =       {0: 'batch', 1: 'sequence'}
         return OrderedDict(
             [
                 ('input_ids', dynamic_axis),
                 ('attention_mask', dynamic_axis),
             ])

