

import random





def    __lowerCamelCase      (					UpperCamelCase__  ,				UpperCamelCase__  ,				UpperCamelCase__ = False ):







							'''simple docstring'''






							snake_case_     							=       {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    __lowerCamelCase      (					UpperCamelCase__ ):







							'''simple docstring'''






							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()





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_UpperCAmelCase    :     str         =       {
    '''configuration_vision_encoder_decoder''': ['''VisionEncoderDecoderConfig''', '''VisionEncoderDecoderOnnxConfig''']
}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     Tuple         =       ['''VisionEncoderDecoderModel''']

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     str         =       ['''TFVisionEncoderDecoderModel''']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _UpperCAmelCase    :     Any         =       ['''FlaxVisionEncoderDecoderModel''']

if TYPE_CHECKING:
   from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
   import sys

   _UpperCAmelCase    :     List[str]         =       _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



