






"""simple docstring"""

from collections import OrderedDict
from typing import Mapping

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


lowercase__          = logging.get_logger(__name__)

lowercase__          = {
    "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				( SCREAMING_SNAKE_CASE__			):





		'''simple docstring'''






		a_	:				Dict            =							"""big_bird"""





		def __init__(   self							:	Dict						,			a_							:	Union[str, Any]=5_03_58						,			a_							:	Dict=7_68						,			a_							:	Any=12						,			a_							:	List[Any]=12						,			a_							:	Optional[int]=30_72						,			a_							:	Union[str, Any]="gelu_new"						,			a_							:	Any=0.1						,			a_							:	Optional[Any]=0.1						,			a_							:	Optional[int]=40_96						,			a_							:	List[Any]=2						,			a_							:	Any=0.02						,			a_							:	Tuple=1e-1_2						,			a_							:	Tuple=True						,			a_							:	Optional[int]=0						,			a_							:	List[Any]=1						,			a_							:	Tuple=2						,			a_							:	Optional[int]=66						,			a_							:	int="block_sparse"						,			a_							:	List[Any]=True						,			a_							:	Dict=False						,			a_							:	str=64						,			a_							:	str=3						,			a_							:	Union[str, Any]=None						,			**a_							:	Any						,			):
				super().__init__(
				    pad_token_id=a_						,			bos_token_id=a_						,			eos_token_id=a_						,			sep_token_id=a_						,			**a_						,			)

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

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







class 		__lowerCamelCase				( SCREAMING_SNAKE_CASE__			):





		'''simple docstring'''






		@property
		def    lowerCamelCase       (   self							:	Tuple	):
				if self.task == "multiple-choice":
						lowerCAmelCase_   :							Tuple									=			{0: "batch", 1: "choice", 2: "sequence"}
				else:
						lowerCAmelCase_   :							Dict									=			{0: "batch", 1: "sequence"}
				return OrderedDict(
				    [
				        ("input_ids", dynamic_axis),
				        ("attention_mask", dynamic_axis),
				    ]	)

def    a__       (						__UpperCamelCase ):
      if not head:
            return True
      # split the list to two parts
      SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     head.next, head
      while fast and fast.next:
            SCREAMING_SNAKE_CASE_      =     fast.next.next
            SCREAMING_SNAKE_CASE_      =     slow.next
      SCREAMING_SNAKE_CASE_      =     slow.next
      SCREAMING_SNAKE_CASE_      =     None  # Don't forget here! But forget still works!
      # reverse the second part
      SCREAMING_SNAKE_CASE_      =     None
      while second:
            SCREAMING_SNAKE_CASE_      =     second.next
            SCREAMING_SNAKE_CASE_      =     node
            SCREAMING_SNAKE_CASE_      =     second
            SCREAMING_SNAKE_CASE_      =     nxt
      # compare two parts
      # second part has the same or one less node
      while node:
            if node.val != head.val:
                  return False
            SCREAMING_SNAKE_CASE_      =     node.next
            SCREAMING_SNAKE_CASE_      =     head.next
      return True


def    a__       (						__UpperCamelCase ):
      if not head or not head.next:
            return True

      # 1. Get the midpoint (slow)
      SCREAMING_SNAKE_CASE_      =     SCREAMING_SNAKE_CASE_      =     SCREAMING_SNAKE_CASE_      =     head
      while fast and fast.next:
            SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     fast.next.next, slow.next

      # 2. Push the second half into the stack
      SCREAMING_SNAKE_CASE_      =     [slow.val]
      while slow.next:
            SCREAMING_SNAKE_CASE_      =     slow.next
            stack.append(slow.val )

      # 3. Comparison
      while stack:
            if stack.pop() != cur.val:
                  return False
            SCREAMING_SNAKE_CASE_      =     cur.next

      return True





def    a__       (						__UpperCamelCase ):
      if not head or not head.next:
            return True
      SCREAMING_SNAKE_CASE_      =     {}
      SCREAMING_SNAKE_CASE_      =     0
      while head:
            if head.val in d:
                  d[head.val].append(__UpperCamelCase )
            else:
                  SCREAMING_SNAKE_CASE_      =     [pos]
            SCREAMING_SNAKE_CASE_      =     head.next
            pos += 1
      SCREAMING_SNAKE_CASE_      =     pos - 1
      SCREAMING_SNAKE_CASE_      =     0
      for v in d.values():
            if len(__UpperCamelCase ) % 2 != 0:
                  middle += 1
            else:
                  SCREAMING_SNAKE_CASE_      =     0
                  for i in range(0   ,					len(__UpperCamelCase ) ):
                        if v[i] + v[len(__UpperCamelCase ) - 1 - step] != checksum:
                              return False
                        step += 1
            if middle > 1:
                  return False
      return True


