




'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


a__         =     logging.get_logger(__name__)

a__         =     {
    '''mnaylor/mega-base-wikitext''': '''https://huggingface.co/mnaylor/mega-base-wikitext/resolve/main/config.json''',
}





class __magic_name__(						lowerCamelCase_      ):
						UpperCAmelCase_		:					List[Any]    =  '''mega'''






						def __init__(   self						:						List[Any]					,   __UpperCamelCase						:						List[Any]=3_0_5_2_2					,   __UpperCamelCase						:						Dict=1_2_8					,   __UpperCamelCase						:						Tuple=4					,   __UpperCamelCase						:						Union[str, Any]=2_5_6					,   __UpperCamelCase						:						List[Any]=1_6					,   __UpperCamelCase						:						int=True					,   __UpperCamelCase						:						Optional[Any]=6_4					,   __UpperCamelCase						:						Dict=False					,   __UpperCamelCase						:						int=-1					,   __UpperCamelCase						:						str=None					,   __UpperCamelCase						:						Dict=True					,   __UpperCamelCase						:						List[Any]="scalenorm"					,   __UpperCamelCase						:						List[Any]=True					,   __UpperCamelCase						:						Tuple="silu"					,   __UpperCamelCase						:						str="softmax"					,   __UpperCamelCase						:						List[str]=0.1					,   __UpperCamelCase						:						Optional[int]=0.1					,   __UpperCamelCase						:						Any=0.1					,   __UpperCamelCase						:						int=False					,   __UpperCamelCase						:						Tuple=True					,   __UpperCamelCase						:						int=2_5_6					,   __UpperCamelCase						:						List[str]=True					,   __UpperCamelCase						:						Tuple=0.1					,   __UpperCamelCase						:						Optional[Any]=2_0_4_8					,   __UpperCamelCase						:						Optional[Any]=False					,   __UpperCamelCase						:						str=2					,   __UpperCamelCase						:						int=0.02					,   __UpperCamelCase						:						Union[str, Any]=0.2					,   __UpperCamelCase						:						Optional[int]=0.02					,   __UpperCamelCase						:						Optional[int]=1.0					,   __UpperCamelCase						:						str=1					,   __UpperCamelCase						:						List[str]=0					,   __UpperCamelCase						:						Dict=2					,   __UpperCamelCase						:						Optional[int]="rotary"					,   __UpperCamelCase						:						List[Any]=None					,   __UpperCamelCase						:						Union[str, Any]=True					,   __UpperCamelCase						:						List[str]=True					,   **__UpperCamelCase						:						Tuple					,   ):



									'''simple docstring'''






									super().__init__(pad_token_id=snake_case_					,   bos_token_id=snake_case_					,   eos_token_id=snake_case_					,   **snake_case_       )

									snake_case__          =						vocab_size
									snake_case__          =						hidden_size
									snake_case__          =						num_hidden_layers
									snake_case__          =						activation
									snake_case__          =						attention_activation
									snake_case__          =						intermediate_size
									snake_case__          =						ema_projection_size
									snake_case__          =						bidirectional
									snake_case__          =						shared_representation_size
									snake_case__          =						use_chunking
									snake_case__          =						chunk_size
									snake_case__          =						truncation
									snake_case__          =						normalize_before_mega
									snake_case__          =						normalization_type
									snake_case__          =						norm_affine
									snake_case__          =						dropout_prob
									snake_case__          =						hidden_dropout_prob
									snake_case__          =						attention_probs_dropout_prob
									snake_case__          =						use_feature_dropout
									snake_case__          =						use_normalized_ffn
									snake_case__          =						nffn_hidden_size
									snake_case__          =						normalize_before_ffn
									snake_case__          =						nffn_activation_dropout_prob
									snake_case__          =						max_positions
									snake_case__          =						add_token_type_embeddings
									snake_case__          =						type_vocab_size
									snake_case__          =						initializer_range
									snake_case__          =						ema_delta_alpha_range
									snake_case__          =						ema_beta_range
									snake_case__          =						ema_gamma_omega_range
									snake_case__          =						relative_positional_bias
									snake_case__          =						use_cache
									snake_case__          =						classifier_dropout
									snake_case__          =						add_lm_hidden_dense_layer
									snake_case__          =						1  # not used but required by Hugging Face







class __magic_name__(						lowerCamelCase_      ):






						@property
						def       __lowerCAmelCase(   self						:						str       ):



									'''simple docstring'''






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


from __future__ import annotations

snake_case__	:     str      =    [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]






class 	__SCREAMING_SNAKE_CASE		:







  '''simple docstring'''






  def __init__(					self ,						snake_case_		):




       '''simple docstring'''

       UpperCAmelCase_				:  int  = -1
       UpperCAmelCase_				:  int  = -1
       UpperCAmelCase_				:  list[int]  = [-1] * length
       UpperCAmelCase_				:  Node | None  = None
       UpperCAmelCase_				:  Node | None  = None






  def __repr__(					self		):




       '''simple docstring'''

       return F'''Node(min_value={self.minn} max_value={self.maxx})'''







def    _lowerCamelCase       ( lowerCamelCase_   :				list[int]  ):



     """simple docstring"""





     UpperCAmelCase_				:  List[str]  = Node(len(lowerCamelCase_  )  )
     UpperCAmelCase_  ,     UpperCAmelCase_				:  Any  = min(lowerCamelCase_  ), max(lowerCamelCase_  )
     # Leaf node case where the node contains only one unique value
     if root.minn == root.maxx:
          return root
     UpperCAmelCase_				:  str  = (root.minn + root.maxx) // 2

     UpperCAmelCase_				:  list[int]  = []
     UpperCAmelCase_				:  list[int]  = []

     for index, num in enumerate(lowerCamelCase_  ):
          if num <= pivot:
               left_arr.append(lowerCamelCase_  )
          else:
               right_arr.append(lowerCamelCase_  )
          UpperCAmelCase_				:  Tuple  = len(lowerCamelCase_  )
     UpperCAmelCase_				:  Optional[Any]  = build_tree(lowerCamelCase_  )
     UpperCAmelCase_				:  Optional[Any]  = build_tree(lowerCamelCase_  )
     return root


def    _lowerCamelCase       ( lowerCamelCase_   :				Node | None      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int  ):



     """simple docstring"""





     if index < 0 or node is None:
          return 0
     # Leaf node cases
     if node.minn == node.maxx:
          return index + 1 if node.minn == num else 0
     UpperCAmelCase_				:  Any  = (node.minn + node.maxx) // 2
     if num <= pivot:
          # go the left subtree and map index to the left subtree
          return rank_till_index(node.left      ,	lowerCamelCase_      ,	node.map_left[index] - 1  )
     else:
          # go to the right subtree and map index to the right subtree
          return rank_till_index(node.right      ,	lowerCamelCase_      ,	index - node.map_left[index]  )


def    _lowerCamelCase       ( lowerCamelCase_   :				Node | None      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int  ):



     """simple docstring"""





     if start > end:
          return 0
     UpperCAmelCase_				:  int  = rank_till_index(lowerCamelCase_      ,	lowerCamelCase_      ,	lowerCamelCase_  )
     UpperCAmelCase_				:  List[Any]  = rank_till_index(lowerCamelCase_      ,	lowerCamelCase_      ,	start - 1  )
     return rank_till_end - rank_before_start


def    _lowerCamelCase       ( lowerCamelCase_   :				Node | None      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int  ):



     """simple docstring"""





     if index > (end - start) or start > end or node is None:
          return -1
     # Leaf node case
     if node.minn == node.maxx:
          return node.minn
     # Number of elements in the left subtree in interval [start, end]
     UpperCAmelCase_				:  Tuple  = node.map_left[end] - (
         node.map_left[start - 1] if start else 0
     )
     if num_elements_in_left_tree > index:
          return quantile(
              node.left      ,	lowerCamelCase_      ,	(node.map_left[start - 1] if start else 0)      ,	node.map_left[end] - 1      ,	)
     else:
          return quantile(
              node.right      ,	index - num_elements_in_left_tree      ,	start - (node.map_left[start - 1] if start else 0)      ,	end - node.map_left[end]      ,	)


def    _lowerCamelCase       ( lowerCamelCase_   :				Node | None      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int      ,	lowerCamelCase_   :				int  ):



     """simple docstring"""





     if (
         start > end
         or node is None
         or start_num > end_num
         or node.minn > end_num
         or node.maxx < start_num
     ):
          return 0
     if start_num <= node.minn and node.maxx <= end_num:
          return end - start + 1
     UpperCAmelCase_				:  Any  = range_counting(
         node.left      ,	(node.map_left[start - 1] if start else 0)      ,	node.map_left[end] - 1      ,	lowerCamelCase_      ,	lowerCamelCase_      ,	)
     UpperCAmelCase_				:  List[str]  = range_counting(
         node.right      ,	start - (node.map_left[start - 1] if start else 0)      ,	end - node.map_left[end]      ,	lowerCamelCase_      ,	lowerCamelCase_      ,	)
     return left + right


if __name__ == "__main__":
 import doctest

 doctest.testmod()






