






from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase   :   Tuple      =    logging.get_logger(__name__)

__UpperCamelCase   :   Union[str, Any]      =    {
    """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 							__UpperCamelCase     (  _lowerCAmelCase ):
	__snake_case						:int =							'bert'







	def __init__(	self   :				Union[str, Any]							,					_lowerCAmelCase   :				Union[str, Any]=3_0522							,					_lowerCAmelCase   :				List[str]=768							,					_lowerCAmelCase   :				List[Any]=12							,					_lowerCAmelCase   :				Union[str, Any]=12							,					_lowerCAmelCase   :				List[str]=3072							,					_lowerCAmelCase   :				List[Any]="gelu"							,					_lowerCAmelCase   :				str=0.1							,					_lowerCAmelCase   :				str=0.1							,					_lowerCAmelCase   :				Optional[Any]=512							,					_lowerCAmelCase   :				Dict=2							,					_lowerCAmelCase   :				Optional[Any]=0.02							,					_lowerCAmelCase   :				Dict=1e-12							,					_lowerCAmelCase   :				Optional[int]=0							,					_lowerCAmelCase   :				Optional[Any]="absolute"							,					_lowerCAmelCase   :				str=True							,					_lowerCAmelCase   :				Dict=None							,					**_lowerCAmelCase   :				Optional[Any]							,					)		->			Optional[int]:
		"""simple docstring"""







		super().__init__(pad_token_id=_lowerCAmelCase							,					**_lowerCAmelCase      )

		__lowercase   							=	vocab_size
		__lowercase   							=	hidden_size
		__lowercase   							=	num_hidden_layers
		__lowercase   							=	num_attention_heads
		__lowercase   							=	hidden_act
		__lowercase   							=	intermediate_size
		__lowercase   							=	hidden_dropout_prob
		__lowercase   							=	attention_probs_dropout_prob
		__lowercase   							=	max_position_embeddings
		__lowercase   							=	type_vocab_size
		__lowercase   							=	initializer_range
		__lowercase   							=	layer_norm_eps
		__lowercase   							=	position_embedding_type
		__lowercase   							=	use_cache
		__lowercase   							=	classifier_dropout


class 							__UpperCamelCase     (  _lowerCAmelCase ):







	@property
	def 			_a (	self   :				Union[str, Any]      )		->			Mapping[str, Mapping[int, str]]:
		"""simple docstring"""







		if self.task == "multiple-choice":
			__lowercase   							=	{0: """batch""", 1: """choice""", 2: """sequence"""}
		else:
			__lowercase   							=	{0: """batch""", 1: """sequence"""}
		return OrderedDict(
		    [
		        ("""input_ids""", dynamic_axis),
		        ("""attention_mask""", dynamic_axis),
		        ("""token_type_ids""", dynamic_axis),
		    ]      )









def 	UpperCamelCase	(							snake_case__  : list	):




     '''simple docstring'''






     if not grid or not grid[0]:
          raise TypeError("""The grid does not contain the appropriate information"""	)

     for cell_n in range(1						,len(grid[0]	)	):
          grid[0][cell_n] += grid[0][cell_n - 1]
     __snake_case      :str 							=    grid[0]

     for row_n in range(1						,len(snake_case__	)	):
          __snake_case      :Optional[int] 							=    grid[row_n]
          __snake_case      :Optional[Any] 							=    fill_row(snake_case__						,snake_case__	)
          __snake_case      :Dict 							=    grid[row_n]

     return grid[-1][-1]






def 	UpperCamelCase	(							snake_case__  : list						,snake_case__  : list	):




     '''simple docstring'''






     current_row[0] += row_above[0]
     for cell_n in range(1						,len(snake_case__	)	):
          current_row[cell_n] += min(current_row[cell_n - 1]						,row_above[cell_n]	)

     return current_row


if __name__ == "__main__":
     import doctest

     doctest.testmod()


