


def 						__SCREAMING_SNAKE_CASE       (					lowercase_			,					lowercase_			)		->    str:




						'''simple docstring'''







						if a < 0 or b < 0:
												raise ValueError('''the value of both inputs must be positive'''			)
						__UpperCAmelCase :       Dict  						=  str(bin(lowercase_			)			)[2:]  # remove the leading "0b"
						__UpperCAmelCase :       List[Any]  						=  str(bin(lowercase_			)			)[2:]
						__UpperCAmelCase :       List[Any]  						=  max(len(lowercase_			)			,					len(lowercase_			)			)
						return "0b" + "".join(
						    str(int('''1''' in (char_a, char_b)			)			)
						    for char_a, char_b in zip(a_binary.zfill(lowercase_			)			,					b_binary.zfill(lowercase_			)			)			)


if __name__ == "__main__":
				import doctest

				doctest.testmod()





from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase							=						logging.get_logger(__name__)

lowerCAmelCase							=						{
    """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        lowerCamelCase      (     _UpperCamelCase   ):
	_lowerCAmelCase    :		int        =	'''bert'''


	def __init__(						self							,    lowercase__=3_0_5_2_2							,    lowercase__=7_6_8							,    lowercase__=1_2							,    lowercase__=1_2							,    lowercase__=3_0_7_2							,    lowercase__="gelu"							,    lowercase__=0.1							,    lowercase__=0.1							,    lowercase__=5_1_2							,    lowercase__=2							,    lowercase__=0.0_2							,    lowercase__=1e-12							,    lowercase__=0							,    lowercase__="absolute"							,    lowercase__=True							,    lowercase__=None							,    **lowercase__							,    ):
							super().__init__(pad_token_id=lowercase__							,    **lowercase__)

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






class        lowerCamelCase      (     _UpperCamelCase   ):


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

