

'''simple docstring'''

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


A_       						=							logging.get_logger(__name__)

A_       						=							{
    "alibaba-damo/mgp-str-base": "https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json",
}





class 							_snake_case (       _a						):
   _A       :     Tuple       =					'''mgp-str'''
   def __init__( self			:      Tuple     ,SCREAMING_SNAKE_CASE__			:      str=[32, 128]     ,SCREAMING_SNAKE_CASE__			:      str=4     ,SCREAMING_SNAKE_CASE__			:      Any=3     ,SCREAMING_SNAKE_CASE__			:      Union[str, Any]=27     ,SCREAMING_SNAKE_CASE__			:      Union[str, Any]=38     ,SCREAMING_SNAKE_CASE__			:      Optional[int]=50_257     ,SCREAMING_SNAKE_CASE__			:      List[str]=30_522     ,SCREAMING_SNAKE_CASE__			:      Union[str, Any]=768     ,SCREAMING_SNAKE_CASE__			:      Optional[Any]=12     ,SCREAMING_SNAKE_CASE__			:      Optional[Any]=12     ,SCREAMING_SNAKE_CASE__			:      List[str]=4.0     ,SCREAMING_SNAKE_CASE__			:      str=True     ,SCREAMING_SNAKE_CASE__			:      Dict=False     ,SCREAMING_SNAKE_CASE__			:      Tuple=1e-5     ,SCREAMING_SNAKE_CASE__			:      Optional[Any]=0.0     ,SCREAMING_SNAKE_CASE__			:      Tuple=0.0     ,SCREAMING_SNAKE_CASE__			:      List[Any]=0.0     ,SCREAMING_SNAKE_CASE__			:      Tuple=False     ,SCREAMING_SNAKE_CASE__			:      int=0.02     ,**SCREAMING_SNAKE_CASE__			:      int     ,):
     super().__init__(**SCREAMING_SNAKE_CASE__							)

     SCREAMING_SNAKE_CASE:Tuple						      =					image_size
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					patch_size
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					num_channels
     SCREAMING_SNAKE_CASE:Optional[int]						      =					max_token_length
     SCREAMING_SNAKE_CASE:Optional[int]						      =					num_character_labels
     SCREAMING_SNAKE_CASE:Any						      =					num_bpe_labels
     SCREAMING_SNAKE_CASE:str						      =					num_wordpiece_labels
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					hidden_size
     SCREAMING_SNAKE_CASE:Union[str, Any]						      =					num_hidden_layers
     SCREAMING_SNAKE_CASE:int						      =					num_attention_heads
     SCREAMING_SNAKE_CASE:str						      =					mlp_ratio
     SCREAMING_SNAKE_CASE:Any						      =					distilled
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					layer_norm_eps
     SCREAMING_SNAKE_CASE:int						      =					drop_rate
     SCREAMING_SNAKE_CASE:List[str]						      =					qkv_bias
     SCREAMING_SNAKE_CASE:Optional[Any]						      =					attn_drop_rate
     SCREAMING_SNAKE_CASE:str						      =					drop_path_rate
     SCREAMING_SNAKE_CASE:List[Any]						      =					output_aa_attentions
     SCREAMING_SNAKE_CASE:Any						      =					initializer_range









'''simple docstring'''

import random





def    A_  ( snake_case      ,       snake_case      ,       snake_case = False ):
  SCREAMING_SNAKE_CASE:dict						      =					{i: [] for i in range(snake_case )}

  # if probability is greater or equal than 1, then generate a complete graph
  if probability >= 1:
    return complete_graph(snake_case )
  # 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(snake_case ):
    for j in range(i + 1      ,       snake_case ):
      if random.random() < probability:
        graph[i].append(snake_case )
        if not directed:
          # if the graph is undirected, add an edge in from j to i, either
          graph[j].append(snake_case )
  return graph





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


if __name__ == "__main__":
    import doctest

    doctest.testmod()






