

"""simple docstring"""






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       						=		{
    '''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     (     UpperCAmelCase_    ):
  _UpperCAmelCase        =		"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=0.0_2     ,_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=__lowerCamelCase     ,bos_token_id=__lowerCamelCase     ,eos_token_id=__lowerCamelCase     ,sep_token_id=__lowerCamelCase     ,**__lowerCamelCase     ,)

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

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







class 						__UpperCamelCase     (     UpperCAmelCase_    ):

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

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












def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case							)		->    bool:
		return not any(
		    neighbour == 1 and colored_vertices[i] == color
		    for i, neighbour in enumerate(snake_case							)							)



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case						,   snake_case						,   snake_case							)		->    bool:

		# Base Case
		if index == len(snake_case							):
				return True

		# Recursive Step
		for i in range(snake_case							):
				if valid_coloring(graph[index]						,   snake_case						,   snake_case							):
						# Color current vertex
						__lowercase											=     i
						# Validate coloring
						if util_color(snake_case						,   snake_case						,   snake_case						,   index + 1							):
								return True
						# Backtrack
						__lowercase											=     -1
		return False



def  SCREAMING_SNAKE_CASE				(      snake_case						,   snake_case							)		->    list[int]:
		__lowercase											=     [-1] * len(snake_case							)

		if util_color(snake_case						,   snake_case						,   snake_case						,   0							):
				return colored_vertices

		return []




