


"""simple docstring"""

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


UpperCAmelCase__  							=logging.get_logger(__name__)

UpperCAmelCase__  							={
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}





class    lowerCamelCase__						(		_a    ):
      a :     Any											=		"""markuplm"""
      def __init__(		self	:	Union[str, Any]      ,       A_	:	List[str]=3_0_5_2_2      ,       A_	:	List[str]=7_6_8      ,       A_	:	List[str]=1_2      ,       A_	:	List[str]=1_2      ,       A_	:	Union[str, Any]=3_0_7_2      ,       A_	:	Dict="gelu"      ,       A_	:	List[str]=0.1      ,       A_	:	List[Any]=0.1      ,       A_	:	Any=5_1_2      ,       A_	:	int=2      ,       A_	:	str=0.02      ,       A_	:	str=1e-1_2      ,       A_	:	str=0      ,       A_	:	Optional[int]=0      ,       A_	:	Optional[int]=2      ,       A_	:	str=2_5_6      ,       A_	:	Union[str, Any]=1_0_2_4      ,       A_	:	Tuple=2_1_6      ,       A_	:	Optional[Any]=1_0_0_1      ,       A_	:	Dict=3_2      ,       A_	:	str=5_0      ,       A_	:	List[str]="absolute"      ,       A_	:	List[str]=True      ,       A_	:	Union[str, Any]=None      ,       **A_	:	Dict      ,       ):






       '''simple docstring'''


       super().__init__(
           pad_token_id=A_      ,       bos_token_id=A_      ,       eos_token_id=A_      ,       **A_      ,       )
       __lowercase									=	vocab_size
       __lowercase									=	hidden_size
       __lowercase									=	num_hidden_layers
       __lowercase									=	num_attention_heads
       __lowercase									=	hidden_act
       __lowercase									=	intermediate_size
       __lowercase									=	hidden_dropout_prob
       __lowercase									=	attention_probs_dropout_prob
       __lowercase									=	max_position_embeddings
       __lowercase									=	type_vocab_size
       __lowercase									=	initializer_range
       __lowercase									=	layer_norm_eps
       __lowercase									=	position_embedding_type
       __lowercase									=	use_cache
       __lowercase									=	classifier_dropout
       # additional properties
       __lowercase									=	max_depth
       __lowercase									=	max_xpath_tag_unit_embeddings
       __lowercase									=	max_xpath_subs_unit_embeddings
       __lowercase									=	tag_pad_id
       __lowercase									=	subs_pad_id
       __lowercase									=	xpath_unit_hidden_size




"""simple docstring"""

import random


def lowerCAmelCase_      (				UpperCamelCase__	: int				,   UpperCamelCase__	: float				,   UpperCamelCase__	: bool = False ):






 """simple docstring"""







 __lowercase									=	{i: [] for i in range(UpperCamelCase__ )}

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


def lowerCAmelCase_      (				UpperCamelCase__	: int ):






 """simple docstring"""







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


if __name__ == "__main__":
       import doctest

       doctest.testmod()
