


"""simple docstring"""







from __future__ import annotations

__lowercase          = [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]






class 		_A    :







    """simple docstring"""




    def __init__(   self							:       List[Any]							,					__UpperCAmelCase							:       int):
      a		:						int 				=     -1
      a		:						int 				=     -1
      a		:						list[int] 				=     [-1] * length
      a		:						Node | None 				=     None
      a		:						Node | None 				=     None






    def __repr__(   self							:       Union[str, Any]):
      return f'''Node(min_value={self.minn} max_value={self.maxx})'''






def 	lowercase     (							A_			)-> Node | None:
  '''simple docstring'''







  a		:						Optional[int] 				=     Node(len(A_			)			)
  a				,						a		:						int 				=     min(A_			), max(A_			)
  # Leaf node case where the node contains only one unique value
  if root.minn == root.maxx:
    return root
  a		:						Dict 				=     (root.minn + root.maxx) // 2

  a		:						list[int] 				=     []
  a		:						list[int] 				=     []

  for index, num in enumerate(A_			):
    if num <= pivot:
      left_arr.append(A_			)
    else:
      right_arr.append(A_			)
    a		:						str 				=     len(A_			)
  a		:						Union[str, Any] 				=     build_tree(A_			)
  a		:						Dict 				=     build_tree(A_			)
  return root


def 	lowercase     (							A_    ,  A_    ,  A_			)-> 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
  a		:						List[str] 				=     (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    ,  A_    ,  node.map_left[index] - 1			)
  else:
    # go to the right subtree and map index to the right subtree
    return rank_till_index(node.right    ,  A_    ,  index - node.map_left[index]			)


def 	lowercase     (							A_    ,  A_    ,  A_    ,  A_			)-> int:
  '''simple docstring'''







  if start > end:
    return 0
  a		:						Optional[int] 				=     rank_till_index(A_    ,  A_    ,  A_			)
  a		:						Optional[int] 				=     rank_till_index(A_    ,  A_    ,  start - 1			)
  return rank_till_end - rank_before_start


def 	lowercase     (							A_    ,  A_    ,  A_    ,  A_			)-> 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]
  a		:						List[Any] 				=     node.map_left[end] - (
      node.map_left[start - 1] if start else 0
  )
  if num_elements_in_left_tree > index:
    return quantile(
        node.left    ,  A_    ,  (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 	lowercase     (							A_    ,  A_    ,  A_    ,  A_    ,  A_			)-> 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
  a		:						Optional[int] 				=     range_counting(
      node.left    ,  (node.map_left[start - 1] if start else 0)    ,  node.map_left[end] - 1    ,  A_    ,  A_    ,  )
  a		:						List[str] 				=     range_counting(
      node.right    ,  start - (node.map_left[start - 1] if start else 0)    ,  end - node.map_left[end]    ,  A_    ,  A_    ,  )
  return left + right


if __name__ == "__main__":
 import doctest

 doctest.testmod()










"""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          = {
    """squeezebert/squeezebert-uncased""": (
        """https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json"""
    ),
    """squeezebert/squeezebert-mnli""": """https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json""",
    """squeezebert/squeezebert-mnli-headless""": (
        """https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json"""
    ),
}






class 		_A    (    _a    ):







    """simple docstring"""




    UpperCAmelCase			:				Tuple      =			SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
    UpperCAmelCase			:				Any      =			"""squeezebert"""






    def __init__(   self							:       List[str]							,					__UpperCAmelCase							:       Tuple=30522							,					__UpperCAmelCase							:       Tuple=768							,					__UpperCAmelCase							:       int=12							,					__UpperCAmelCase							:       str=12							,					__UpperCAmelCase							:       List[Any]=3072							,					__UpperCAmelCase							:       Dict="gelu"							,					__UpperCAmelCase							:       List[Any]=0.1							,					__UpperCAmelCase							:       Optional[int]=0.1							,					__UpperCAmelCase							:       Optional[Any]=512							,					__UpperCAmelCase							:       int=2							,					__UpperCAmelCase							:       Dict=0.02							,					__UpperCAmelCase							:       Optional[int]=1e-12							,					__UpperCAmelCase							:       Optional[Any]=0							,					__UpperCAmelCase							:       Optional[Any]=768							,					__UpperCAmelCase							:       Tuple=4							,					__UpperCAmelCase							:       Dict=4							,					__UpperCAmelCase							:       str=4							,					__UpperCAmelCase							:       List[Any]=1							,					__UpperCAmelCase							:       Optional[int]=4							,					__UpperCAmelCase							:       Optional[int]=4							,					**__UpperCAmelCase							:       Tuple							,					):
      super().__init__(pad_token_id=__UpperCAmelCase							,					**__UpperCAmelCase)

      a		:						List[Any] 				=     vocab_size
      a		:						List[Any] 				=     hidden_size
      a		:						Dict 				=     num_hidden_layers
      a		:						int 				=     num_attention_heads
      a		:						Dict 				=     hidden_act
      a		:						Tuple 				=     intermediate_size
      a		:						int 				=     hidden_dropout_prob
      a		:						List[Any] 				=     attention_probs_dropout_prob
      a		:						Union[str, Any] 				=     max_position_embeddings
      a		:						Union[str, Any] 				=     type_vocab_size
      a		:						Optional[Any] 				=     initializer_range
      a		:						Any 				=     layer_norm_eps
      a		:						Any 				=     embedding_size
      a		:						Tuple 				=     q_groups
      a		:						List[str] 				=     k_groups
      a		:						str 				=     v_groups
      a		:						Optional[Any] 				=     post_attention_groups
      a		:						List[str] 				=     intermediate_groups
      a		:						Optional[int] 				=     output_groups






class 		_A    (    _a    ):







    """simple docstring"""




    @property
    def       __snake_case				(   self							:       Optional[Any]):
      if self.task == "multiple-choice":
        a		:						Optional[int] 				=     {0: "batch", 1: "choice", 2: "sequence"}
      else:
        a		:						Tuple 				=     {0: "batch", 1: "sequence"}
      return OrderedDict(
          [
              ("input_ids", dynamic_axis),
              ("attention_mask", dynamic_axis),
              ("token_type_ids", dynamic_axis),
          ])






