

'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


lowercase__         =      logging.get_logger(__name__)

lowercase__         =      {
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    "bert-large-uncased": "https://huggingface.co/bert-large-uncased/resolve/main/config.json",
    "bert-base-cased": "https://huggingface.co/bert-base-cased/resolve/main/config.json",
    "bert-large-cased": "https://huggingface.co/bert-large-cased/resolve/main/config.json",
    "bert-base-multilingual-uncased": "https://huggingface.co/bert-base-multilingual-uncased/resolve/main/config.json",
    "bert-base-multilingual-cased": "https://huggingface.co/bert-base-multilingual-cased/resolve/main/config.json",
    "bert-base-chinese": "https://huggingface.co/bert-base-chinese/resolve/main/config.json",
    "bert-base-german-cased": "https://huggingface.co/bert-base-german-cased/resolve/main/config.json",
    "bert-large-uncased-whole-word-masking": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking": (
        "https://huggingface.co/bert-large-cased-whole-word-masking/resolve/main/config.json"
    ),
    "bert-large-uncased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-uncased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-large-cased-whole-word-masking-finetuned-squad": (
        "https://huggingface.co/bert-large-cased-whole-word-masking-finetuned-squad/resolve/main/config.json"
    ),
    "bert-base-cased-finetuned-mrpc": "https://huggingface.co/bert-base-cased-finetuned-mrpc/resolve/main/config.json",
    "bert-base-german-dbmdz-cased": "https://huggingface.co/bert-base-german-dbmdz-cased/resolve/main/config.json",
    "bert-base-german-dbmdz-uncased": "https://huggingface.co/bert-base-german-dbmdz-uncased/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese": "https://huggingface.co/cl-tohoku/bert-base-japanese/resolve/main/config.json",
    "cl-tohoku/bert-base-japanese-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-whole-word-masking/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char/resolve/main/config.json"
    ),
    "cl-tohoku/bert-base-japanese-char-whole-word-masking": (
        "https://huggingface.co/cl-tohoku/bert-base-japanese-char-whole-word-masking/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-cased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1/resolve/main/config.json"
    ),
    "TurkuNLP/bert-base-finnish-uncased-v1": (
        "https://huggingface.co/TurkuNLP/bert-base-finnish-uncased-v1/resolve/main/config.json"
    ),
    "wietsedv/bert-base-dutch-cased": "https://huggingface.co/wietsedv/bert-base-dutch-cased/resolve/main/config.json",
    # See all BERT models at https://huggingface.co/models?filter=bert
}




class 	A_			(    A__							):






     '''simple docstring'''



     UpperCAmelCase_						:     Optional[int]  		=  """bert"""


     def __init__(		self			:					Union[str, Any]					,      lowercase_			:					Any=30_522					,      lowercase_			:					List[str]=768					,      lowercase_			:					int=12					,      lowercase_			:					int=12					,      lowercase_			:					Dict=3_072					,      lowercase_			:					Any="gelu"					,      lowercase_			:					List[str]=0.1					,      lowercase_			:					List[str]=0.1					,      lowercase_			:					Optional[Any]=512					,      lowercase_			:					Dict=2					,      lowercase_			:					List[Any]=0.02					,      lowercase_			:					int=1E-12					,      lowercase_			:					Optional[Any]=0					,      lowercase_			:					List[Any]="absolute"					,      lowercase_			:					List[Any]=True					,      lowercase_			:					List[Any]=None					,      **lowercase_			:					List[str]					,      )						->     Optional[int]:
      super().__init__(pad_token_id=__snake_case					,      **__snake_case	)

      UpperCAmelCase	:     int						 =			vocab_size
      UpperCAmelCase	:     int						 =			hidden_size
      UpperCAmelCase	:     Optional[int]						 =			num_hidden_layers
      UpperCAmelCase	:     Any						 =			num_attention_heads
      UpperCAmelCase	:     Tuple						 =			hidden_act
      UpperCAmelCase	:     int						 =			intermediate_size
      UpperCAmelCase	:     Dict						 =			hidden_dropout_prob
      UpperCAmelCase	:     Tuple						 =			attention_probs_dropout_prob
      UpperCAmelCase	:     int						 =			max_position_embeddings
      UpperCAmelCase	:     Dict						 =			type_vocab_size
      UpperCAmelCase	:     Union[str, Any]						 =			initializer_range
      UpperCAmelCase	:     Union[str, Any]						 =			layer_norm_eps
      UpperCAmelCase	:     Optional[int]						 =			position_embedding_type
      UpperCAmelCase	:     str						 =			use_cache
      UpperCAmelCase	:     List[str]						 =			classifier_dropout




class 	A_			(    A__							):






     '''simple docstring'''



     @property
     def        UpperCAmelCase_	(		self			:					Tuple	)						->     Mapping[str, Mapping[int, str]]:
      if self.task == "multiple-choice":
       UpperCAmelCase	:     Optional[int]						 =			{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
       UpperCAmelCase	:     Any						 =			{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
              ('token_type_ids', dynamic_axis),
          ]	)



'''simple docstring'''

from __future__ import annotations




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     ):
 if len(UpperCAmelCase_     ) == 0:
  raise ValueError('find_max() arg is an empty sequence'     )
 if (
     left >= len(UpperCAmelCase_     )
     or left < -len(UpperCAmelCase_     )
     or right >= len(UpperCAmelCase_     )
     or right < -len(UpperCAmelCase_     )
 ):
  raise IndexError('list index out of range'     )
 if left == right:
  return nums[left]
 UpperCAmelCase	:     Optional[int]						 =			(left + right) >> 1  # the middle
 UpperCAmelCase	:     Any						 =			find_max(UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     )  # find max in range[left, mid]
 UpperCAmelCase	:     Union[str, Any]						 =			find_max(UpperCAmelCase_  ,	mid + 1  ,	UpperCAmelCase_     )  # find max in range[mid + 1, right]

 return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)




