
'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


snake_case									=    logging.get_logger(__name__)

snake_case									=    {
    """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    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Any	=			"""big_bird"""


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

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

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

  lowerCAmelCase__     :   List[Any]     		=	rescale_embeddings
  lowerCAmelCase__     :   Union[str, Any]     		=	attention_type
  lowerCAmelCase__     :   Any     		=	use_bias
  lowerCAmelCase__     :   int     		=	block_size
  lowerCAmelCase__     :   Union[str, Any]     		=	num_random_blocks
  lowerCAmelCase__     :   Optional[int]     		=	classifier_dropout




class    lowerCAmelCase       (     UpperCamelCase_  ):


 @property
 def    _A	(    self  : Optional[Any]    ):
  '''simple docstring'''

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







'''simple docstring'''

def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 lowerCAmelCase__     :   str     		=	len(lowerCamelCase_			)
 lowerCAmelCase__     :   Optional[Any]     		=	len(matrix[0]			)
 lowerCAmelCase__     :   Any     		=	min(lowerCamelCase_      ,			lowerCamelCase_			)

 for row in range(lowerCamelCase_			):
  # Check if diagonal element is not zero
  if matrix[row][row] != 0:
   # Eliminate all the elements below the diagonal
   for col in range(row + 1      ,			lowerCamelCase_			):
    lowerCAmelCase__     :   Tuple     		=	matrix[col][row] / matrix[row][row]
    for i in range(lowerCamelCase_      ,			lowerCamelCase_			):
     matrix[col][i] -= multiplier * matrix[row][i]
  else:
   # Find a non-zero diagonal element to swap rows
   lowerCAmelCase__     :   Dict     		=	True
   for i in range(row + 1      ,			lowerCamelCase_			):
    if matrix[i][row] != 0:
     lowerCAmelCase__		,     lowerCAmelCase__     :   Optional[Any]     		=	matrix[i], matrix[row]
     lowerCAmelCase__     :   Optional[Any]     		=	False
     break
   if reduce:
    rank -= 1
    for i in range(lowerCamelCase_			):
     lowerCAmelCase__     :   Union[str, Any]     		=	matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
   row -= 1

 return rank


if __name__ == "__main__":
     import doctest

     doctest.testmod()





