





from collections import OrderedDict
from typing import Mapping

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


__lowerCamelCase	:					Tuple			  =					logging.get_logger(__name__)

__lowerCamelCase	:					Optional[Any]			  =					{
    """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  A__       (	__snake_case      ):
      _UpperCAmelCase     :Union[str, Any]						   =       'big_bird'





      def __init__(			self	,							A_=5_0358	,							A_=768	,							A_=12	,							A_=12	,							A_=3072	,							A_="gelu_new"	,							A_=0.1	,							A_=0.1	,							A_=4096	,							A_=2	,							A_=0.02	,							A_=1e-12	,							A_=True	,							A_=0	,							A_=1	,							A_=2	,							A_=66	,							A_="block_sparse"	,							A_=True	,							A_=False	,							A_=64	,							A_=3	,							A_=None	,							**A_	,							):
       '''simple docstring'''




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

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

       UpperCamelCase     : List[str]	     =       rescale_embeddings
       UpperCamelCase     : Optional[int]	     =       attention_type
       UpperCamelCase     : Optional[Any]	     =       use_bias
       UpperCamelCase     : Tuple	     =       block_size
       UpperCamelCase     : str	     =       num_random_blocks
       UpperCamelCase     : Any	     =       classifier_dropout



class  A__       (	__snake_case      ):





      @property
      def 	__UpperCamelCase(			self       ):
       '''simple docstring'''




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







class  A__       :  # Public class to implement a graph





      def __init__(			self	,							A_	,							A_	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : Optional[int]	     =       row
       UpperCamelCase     : Any	     =       col
       UpperCamelCase     : Optional[Any]	     =       graph





      def 	__UpperCamelCase(			self	,							A_	,							A_	,							A_       ):
       '''simple docstring'''




       return (
           0 <= i < self.ROW
           and 0 <= j < self.COL
           and not visited[i][j]
           and self.graph[i][j]
       )





      def 	__UpperCamelCase(			self	,							A_	,							A_	,							A_       ):
       '''simple docstring'''




       UpperCamelCase     : Any	     =       [-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
       UpperCamelCase     : Dict	     =       [-1, 0, 1, -1, 1, -1, 0, 1]
       UpperCamelCase     : Any	     =       True  # Make those cells visited
       for k in range(8       ):
        if self.is_safe(i + row_nbr[k]	,							j + col_nbr[k]	,							A_       ):
         self.diffs(i + row_nbr[k]	,							j + col_nbr[k]	,							A_       )





      def 	__UpperCamelCase(			self       ):  # And finally, count all islands.
       '''simple docstring'''




       UpperCamelCase     : str	     =       [[False for j in range(self.COL       )] for i in range(self.ROW       )]
       UpperCamelCase     : int	     =       0
       for i in range(self.ROW       ):
        for j in range(self.COL       ):
         if visited[i][j] is False and self.graph[i][j] == 1:
          self.diffs(A_	,							A_	,							A_       )
          count += 1
       return count
