






from collections import OrderedDict
from typing import Mapping

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


__UpperCamelCase   :   List[str]      =    logging.get_logger(__name__)

__UpperCamelCase   :   Tuple      =    {
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}


class 							__UpperCamelCase     (  _lowerCAmelCase ):
	__snake_case						:List[Any] =							'big_bird'







	def __init__(	self   :				str							,					_lowerCAmelCase   :				Any=5_0358							,					_lowerCAmelCase   :				Optional[int]=768							,					_lowerCAmelCase   :				Union[str, Any]=12							,					_lowerCAmelCase   :				Optional[int]=12							,					_lowerCAmelCase   :				Optional[Any]=3072							,					_lowerCAmelCase   :				List[str]="gelu_new"							,					_lowerCAmelCase   :				Optional[Any]=0.1							,					_lowerCAmelCase   :				int=0.1							,					_lowerCAmelCase   :				Optional[int]=4096							,					_lowerCAmelCase   :				Any=2							,					_lowerCAmelCase   :				List[Any]=0.02							,					_lowerCAmelCase   :				List[Any]=1e-12							,					_lowerCAmelCase   :				List[Any]=True							,					_lowerCAmelCase   :				Union[str, Any]=0							,					_lowerCAmelCase   :				Tuple=1							,					_lowerCAmelCase   :				Dict=2							,					_lowerCAmelCase   :				Optional[int]=66							,					_lowerCAmelCase   :				Dict="block_sparse"							,					_lowerCAmelCase   :				Optional[int]=True							,					_lowerCAmelCase   :				str=False							,					_lowerCAmelCase   :				str=64							,					_lowerCAmelCase   :				Union[str, Any]=3							,					_lowerCAmelCase   :				Union[str, Any]=None							,					**_lowerCAmelCase   :				List[Any]							,					)		->			Union[str, Any]:
		"""simple docstring"""







		super().__init__(
		    pad_token_id=_lowerCAmelCase							,					bos_token_id=_lowerCAmelCase							,					eos_token_id=_lowerCAmelCase							,					sep_token_id=_lowerCAmelCase							,					**_lowerCAmelCase							,					)

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

		__lowercase   							=	rescale_embeddings
		__lowercase   							=	attention_type
		__lowercase   							=	use_bias
		__lowercase   							=	block_size
		__lowercase   							=	num_random_blocks
		__lowercase   							=	classifier_dropout


class 							__UpperCamelCase     (  _lowerCAmelCase ):







	@property
	def 			_a (	self   :				List[str]      )		->			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),
		    ]      )





'''simple docstring'''
from __future__ import annotations

def 					lowerCamelCase_ ( __UpperCamelCase					:       dict							,    __UpperCamelCase					:       str		)					->	set[str]:







     """simple docstring"""
     _A		,				_A				=							set(__UpperCamelCase		), [start]

     while stack:
          _A				=							stack.pop()
          explored.add(__UpperCamelCase		)
          # Differences from BFS:
          # 1) pop last element instead of first one
          # 2) add adjacent elements to stack without exploring them
          for adj in reversed(graph[v]		):
               if adj not in explored:
                    stack.append(__UpperCamelCase		)
     return explored


lowerCAmelCase						=					{
    """A""": ["""B""", """C""", """D"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F"""],
    """D""": ["""B""", """D"""],
    """E""": ["""B""", """F"""],
    """F""": ["""C""", """E""", """G"""],
    """G""": ["""F"""],
}

if __name__ == "__main__":
    import doctest

    doctest.testmod()
    print(depth_first_search(G, """A"""))





