


"""simple docstring"""




from __future__ import annotations

from random import random






class    UpperCAmelCase__	:



    """simple docstring"""






    def __init__(      self ,       A_ = None   )  ->	Tuple:
         __UpperCamelCase   							=value
         __UpperCamelCase   							=random()
         __UpperCamelCase   							=None
         __UpperCamelCase   							=None






    def __repr__(      self   )  ->	str:
         from pprint import pformat

         if self.left is None and self.right is None:
              return f'\'{self.value}: {self.prior:.5}\''
         else:
              return pformat(
                  {f'{self.value}: {self.prior:.5}': (self.left, self.right)} ,       indent=1   )






    def __str__(      self   )  ->	str:
         __UpperCamelCase   							=str(self.value   ) + ' '
         __UpperCamelCase   							=str(self.left or ''   )
         __UpperCamelCase   							=str(self.right or ''   )
         return value + left + right

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None      ,					SCREAMING_SNAKE_CASE__      : int    ):
     if root is None:  # None tree is split into 2 Nones
          return None, None
     elif root.value is None:
          return None, None
     else:
          if value < root.value:
               __UpperCamelCase							,				__UpperCamelCase   							=split(root.left      ,					SCREAMING_SNAKE_CASE__    )
               return left, root
          else:
               __UpperCamelCase							,				__UpperCamelCase   							=split(root.right      ,					SCREAMING_SNAKE_CASE__    )
               return root, right

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None      ,					SCREAMING_SNAKE_CASE__      : Node | None    ):
     if (not left) or (not right):  # If one node is None, return the other
          return left or right
     elif left.prior < right.prior:
          __UpperCamelCase   							=merge(left.right      ,					SCREAMING_SNAKE_CASE__    )
          return left
     else:
          __UpperCamelCase   							=merge(SCREAMING_SNAKE_CASE__      ,					right.left    )
          return right

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None      ,					SCREAMING_SNAKE_CASE__      : int    ):
     __UpperCamelCase   							=Node(SCREAMING_SNAKE_CASE__    )
     __UpperCamelCase							,				__UpperCamelCase   							=split(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )
     return merge(merge(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )      ,					SCREAMING_SNAKE_CASE__    )

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None      ,					SCREAMING_SNAKE_CASE__      : int    ):
     __UpperCamelCase							,				__UpperCamelCase   							=split(SCREAMING_SNAKE_CASE__      ,					value - 1    )
     __UpperCamelCase							,				__UpperCamelCase   							=split(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )
     return merge(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None    ):
     if not root:  # None
          return
     else:
          inorder(root.left    )
          print(root.value      ,					end=','    )
          inorder(root.right    )

def 						_UpperCAmelCase    (      SCREAMING_SNAKE_CASE__      : Node | None      ,					SCREAMING_SNAKE_CASE__      : str    ):
     for arg in args.split():
          if arg[0] == "+":
               __UpperCamelCase   							=insert(SCREAMING_SNAKE_CASE__      ,					int(arg[1:]    )    )

          elif arg[0] == "-":
               __UpperCamelCase   							=erase(SCREAMING_SNAKE_CASE__      ,					int(arg[1:]    )    )

          else:
               print('Unknown command'    )

     return root

def 						_UpperCAmelCase    (      ):
     __UpperCamelCase   							=None
     print(
         'enter numbers to create a tree, + value to add value into treap, '
         '- value to erase all nodes with value. \'q\' to quit. '    )

     __UpperCamelCase   							=input()
     while args != "q":
          __UpperCamelCase   							=interact_treap(SCREAMING_SNAKE_CASE__      ,					SCREAMING_SNAKE_CASE__    )
          print(SCREAMING_SNAKE_CASE__    )
          __UpperCamelCase   							=input()

     print('good by!'    )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()









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


_A			=						logging.get_logger(__name__)

_A			=						{
    'google/realm-cc-news-pretrained-embedder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-embedder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-encoder': (
        'https://huggingface.co/google/realm-cc-news-pretrained-encoder/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-scorer': (
        'https://huggingface.co/google/realm-cc-news-pretrained-scorer/resolve/main/config.json'
    ),
    'google/realm-cc-news-pretrained-openqa': (
        'https://huggingface.co/google/realm-cc-news-pretrained-openqa/aresolve/main/config.json'
    ),
    'google/realm-orqa-nq-openqa': 'https://huggingface.co/google/realm-orqa-nq-openqa/resolve/main/config.json',
    'google/realm-orqa-nq-reader': 'https://huggingface.co/google/realm-orqa-nq-reader/resolve/main/config.json',
    'google/realm-orqa-wq-openqa': 'https://huggingface.co/google/realm-orqa-wq-openqa/resolve/main/config.json',
    'google/realm-orqa-wq-reader': 'https://huggingface.co/google/realm-orqa-wq-reader/resolve/main/config.json',
    # See all REALM models at https://huggingface.co/models?filter=realm
}






class    UpperCAmelCase__	( A_		):



    """simple docstring"""






    UpperCAmelCase__						:		str              =  "realm"






    def __init__(      self ,       A_=30522 ,       A_=768 ,       A_=128 ,       A_=12 ,       A_=12 ,       A_=8 ,       A_=3072 ,       A_="gelu_new" ,       A_=0.1 ,       A_=0.1 ,       A_=512 ,       A_=2 ,       A_=0.02 ,       A_=1E-12 ,       A_=256 ,       A_=10 ,       A_=1E-3 ,       A_=5 ,       A_=320 ,       A_=13353718 ,       A_=5000 ,       A_=1 ,       A_=0 ,       A_=2 ,       **A_ ,       )  ->	Dict:
         super().__init__(pad_token_id=A_ ,       bos_token_id=A_ ,       eos_token_id=A_ ,       **A_   )

         # Common config
         __UpperCamelCase   							=vocab_size
         __UpperCamelCase   							=max_position_embeddings
         __UpperCamelCase   							=hidden_size
         __UpperCamelCase   							=retriever_proj_size
         __UpperCamelCase   							=num_hidden_layers
         __UpperCamelCase   							=num_attention_heads
         __UpperCamelCase   							=num_candidates
         __UpperCamelCase   							=intermediate_size
         __UpperCamelCase   							=hidden_act
         __UpperCamelCase   							=hidden_dropout_prob
         __UpperCamelCase   							=attention_probs_dropout_prob
         __UpperCamelCase   							=initializer_range
         __UpperCamelCase   							=type_vocab_size
         __UpperCamelCase   							=layer_norm_eps

         # Reader config
         __UpperCamelCase   							=span_hidden_size
         __UpperCamelCase   							=max_span_width
         __UpperCamelCase   							=reader_layer_norm_eps
         __UpperCamelCase   							=reader_beam_size
         __UpperCamelCase   							=reader_seq_len

         # Retrieval config
         __UpperCamelCase   							=num_block_records
         __UpperCamelCase   							=searcher_beam_size





