




'''simple docstring'''


import random



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




     """simple docstring"""


     a_     :							dict     						=  {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  _SCREAMING_SNAKE_CASE     (      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()






'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available


lowerCAmelCase_      :  Optional[Any]				     =  {}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCAmelCase_      :  Any				     =  ['GPTSw3Tokenizer']


if TYPE_CHECKING:
 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_gpt_swa import GPTSwaTokenizer

else:
 import sys

 lowerCAmelCase_      :  int				     =  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
