





from typing import Callable, Optional, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase__            =							logging.get_logger(__name__)

UpperCAmelCase__            =							{
    '''microsoft/prophetnet-large-uncased''': (
        '''https://huggingface.co/microsoft/prophetnet-large-uncased/resolve/main/config.json'''
    ),
}







class 				lowerCamelCase__       (	lowerCAmelCase):
     SCREAMING_SNAKE_CASE__				      =      '''prophetnet'''
     SCREAMING_SNAKE_CASE__				      =      ['''past_key_values''']
     SCREAMING_SNAKE_CASE__				      =      {
         '''num_attention_heads''': '''num_encoder_attention_heads''',
     }





     def __init__(self		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = "gelu"		,					UpperCAmelCase = 3_0_5_2_2		,					UpperCAmelCase = 1_0_2_4		,					UpperCAmelCase = 4_0_9_6		,					UpperCAmelCase = 1_2		,					UpperCAmelCase = 1_6		,					UpperCAmelCase = 4_0_9_6		,					UpperCAmelCase = 1_2		,					UpperCAmelCase = 1_6		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = 0.1		,					UpperCAmelCase = 5_1_2		,					UpperCAmelCase = 0.02		,					UpperCAmelCase = True		,					UpperCAmelCase = True		,					UpperCAmelCase = 0		,					UpperCAmelCase = 2		,					UpperCAmelCase = 3_2		,					UpperCAmelCase = 1_2_8		,					UpperCAmelCase = False		,					UpperCAmelCase = 0.0		,					UpperCAmelCase = True		,					UpperCAmelCase = 0		,					UpperCAmelCase = 1		,					UpperCAmelCase = 2		,					**UpperCAmelCase		,					)					->       Any:
      _lowercase											=vocab_size
      _lowercase											=hidden_size
      _lowercase											=encoder_ffn_dim
      _lowercase											=num_encoder_layers
      _lowercase											=num_encoder_attention_heads
      _lowercase											=decoder_ffn_dim
      _lowercase											=num_decoder_layers
      _lowercase											=num_decoder_attention_heads
      _lowercase											=max_position_embeddings
      _lowercase											=init_std  # Normal(0, this parameter)
      _lowercase											=activation_function

      # parameters for prophetnet
      _lowercase											=ngram
      _lowercase											=num_buckets
      _lowercase											=relative_max_distance
      _lowercase											=disable_ngram_loss
      _lowercase											=eps

      # 3 Types of Dropout
      _lowercase											=attention_dropout
      _lowercase											=activation_dropout
      _lowercase											=dropout

      _lowercase											=use_cache

      super().__init__(
          pad_token_id=UpperCAmelCase		,					bos_token_id=UpperCAmelCase		,					eos_token_id=UpperCAmelCase		,					is_encoder_decoder=UpperCAmelCase		,					add_cross_attention=UpperCAmelCase		,					decoder_start_token_id=UpperCAmelCase		,					**UpperCAmelCase		,					)





     @property
     def 					__A (self	)					->       int:
      return self.num_encoder_layers + self.num_decoder_layers





     @num_hidden_layers.setter
     def 					__A (self		,					UpperCAmelCase	)					->       int:
      raise NotImplementedError(
          '''This model does not support the setting of `num_hidden_layers`. Please set `num_encoder_layers` and'''
          ''' `num_decoder_layers`.'''	)





from __future__ import annotations

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







class 				lowerCamelCase__       :





     def __init__(self		,					UpperCAmelCase	)					->       None:
      _lowercase											=-1
      _lowercase											=-1
      _lowercase											=[-1] * length
      _lowercase											=None
      _lowercase											=None





     def __repr__(self	)					->       str:
      return f"Node(min_value={self.minn} max_value={self.maxx})"



def     UpperCAmelCase_ (							__snake_case						)					->      Node | None:







 """simple docstring"""


 _lowercase											=Node(len(__snake_case						)						)
 _lowercase				,   _lowercase											=min(__snake_case						), max(__snake_case						)
 # Leaf node case where the node contains only one unique value
 if root.minn == root.maxx:
  return root
 _lowercase											=(root.minn + root.maxx) // 2

 _lowercase											=[]
 _lowercase											=[]

 for index, num in enumerate(__snake_case						):
  if num <= pivot:
   left_arr.append(__snake_case						)
  else:
   right_arr.append(__snake_case						)
  _lowercase											=len(__snake_case						)
 _lowercase											=build_tree(__snake_case						)
 _lowercase											=build_tree(__snake_case						)
 return root
def     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case						)					->      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
 _lowercase											=(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					,						__snake_case					,						node.map_left[index] - 1						)
 else:
  # go to the right subtree and map index to the right subtree
  return rank_till_index(node.right					,						__snake_case					,						index - node.map_left[index]						)
def     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)					->      int:







 """simple docstring"""


 if start > end:
  return 0
 _lowercase											=rank_till_index(__snake_case					,						__snake_case					,						__snake_case						)
 _lowercase											=rank_till_index(__snake_case					,						__snake_case					,						start - 1						)
 return rank_till_end - rank_before_start
def     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)					->      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]
 _lowercase											=node.map_left[end] - (
     node.map_left[start - 1] if start else 0
 )
 if num_elements_in_left_tree > index:
  return quantile(
      node.left					,						__snake_case					,						(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     UpperCAmelCase_ (							__snake_case					,						__snake_case					,						__snake_case					,						__snake_case					,						__snake_case						)					->      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
 _lowercase											=range_counting(
     node.left					,						(node.map_left[start - 1] if start else 0)					,						node.map_left[end] - 1					,						__snake_case					,						__snake_case					,						)
 _lowercase											=range_counting(
     node.right					,						start - (node.map_left[start - 1] if start else 0)					,						end - node.map_left[end]					,						__snake_case					,						__snake_case					,						)
 return left + right


if __name__ == "__main__":
  import doctest

  doctest.testmod()

