






'''simple docstring'''

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


UpperCamelCase							=logging.get_logger(__name__)

UpperCamelCase							={
    "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     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 __a			:						List[Any]      =						'''realm'''
 def __init__(							self			,     __lowerCAmelCase=3_05_22			,     __lowerCAmelCase=7_68			,     __lowerCAmelCase=1_28			,     __lowerCAmelCase=12			,     __lowerCAmelCase=12			,     __lowerCAmelCase=8			,     __lowerCAmelCase=30_72			,     __lowerCAmelCase="gelu_new"			,     __lowerCAmelCase=0.1			,     __lowerCAmelCase=0.1			,     __lowerCAmelCase=5_12			,     __lowerCAmelCase=2			,     __lowerCAmelCase=0.02			,     __lowerCAmelCase=1E-12			,     __lowerCAmelCase=2_56			,     __lowerCAmelCase=10			,     __lowerCAmelCase=1E-3			,     __lowerCAmelCase=5			,     __lowerCAmelCase=3_20			,     __lowerCAmelCase=13_35_37_18			,     __lowerCAmelCase=50_00			,     __lowerCAmelCase=1			,     __lowerCAmelCase=0			,     __lowerCAmelCase=2			,     **__lowerCAmelCase			,     ):
       super().__init__(pad_token_id=__lowerCAmelCase			,     bos_token_id=__lowerCAmelCase			,     eos_token_id=__lowerCAmelCase			,     **__lowerCAmelCase )

       # Common config
       UpperCamelCase_				:   Tuple					    =							vocab_size
       UpperCamelCase_				:   Tuple					    =							max_position_embeddings
       UpperCamelCase_				:   str					    =							hidden_size
       UpperCamelCase_				:   Any					    =							retriever_proj_size
       UpperCamelCase_				:   List[Any]					    =							num_hidden_layers
       UpperCamelCase_				:   Tuple					    =							num_attention_heads
       UpperCamelCase_				:   Optional[Any]					    =							num_candidates
       UpperCamelCase_				:   int					    =							intermediate_size
       UpperCamelCase_				:   str					    =							hidden_act
       UpperCamelCase_				:   Union[str, Any]					    =							hidden_dropout_prob
       UpperCamelCase_				:   List[str]					    =							attention_probs_dropout_prob
       UpperCamelCase_				:   List[str]					    =							initializer_range
       UpperCamelCase_				:   int					    =							type_vocab_size
       UpperCamelCase_				:   str					    =							layer_norm_eps

       # Reader config
       UpperCamelCase_				:   List[str]					    =							span_hidden_size
       UpperCamelCase_				:   List[Any]					    =							max_span_width
       UpperCamelCase_				:   Any					    =							reader_layer_norm_eps
       UpperCamelCase_				:   Tuple					    =							reader_beam_size
       UpperCamelCase_				:   List[Any]					    =							reader_seq_len

       # Retrieval config
       UpperCamelCase_				:   Any					    =							num_block_records
       UpperCamelCase_				:   str					    =							searcher_beam_size














'''simple docstring'''

import random



def 							snake_case					(     a_							: int    ,   a_							: float    ,   a_							: bool = False	)       ->				dict:





      """simple docstring"""

      UpperCamelCase_				:   dict					    =							{i: [] for i in range(a_	)}

      # if probability is greater or equal than 1, then generate a complete graph
      if probability >= 1:
            return complete_graph(a_	)
      # if probability is lower or equal than 0, then return a graph without edges
      if probability <= 0:
            return graph

      # for each couple of nodes, add an edge from u to v
      # if the number randomly generated is greater than probability probability
      for i in range(a_	):
            for j in range(i + 1    ,   a_	):
                  if random.random() < probability:
                        graph[i].append(a_	)
                        if not directed:
                              # if the graph is undirected, add an edge in from j to i, either
                              graph[j].append(a_	)
      return graph



def 							snake_case					(     a_							: int	)       ->				dict:





      """simple docstring"""

      return {
          i: [j for j in range(a_	) if i != j] for i in range(a_	)
      }


if __name__ == "__main__":
      import doctest

      doctest.testmod()






