
"""simple docstring"""







SCREAMING_SNAKE_CASE_  					= [[0, 1, 1], [0, 0, 1], [1, 0, 0]]






class      __a      :







       def __init__(       self				,lowerCamelCase_		):



          '''simple docstring'''

          _UpperCAmelCase 						=       name
          _UpperCAmelCase 						=       []
          _UpperCAmelCase 						=       []







       def  _snake_case      (       self				,lowerCamelCase_		):



          '''simple docstring'''

          self.inbound.append(lowerCamelCase_		)







       def  _snake_case      (       self				,lowerCamelCase_		):



          '''simple docstring'''

          self.outbound.append(lowerCamelCase_		)







       def __repr__(       self		):



          '''simple docstring'''

          return f'''<node={self.name} inbound={self.inbound} outbound={self.outbound}>'''



def       __UpperCAmelCase		(		a_      :		str     ,	a_      :		Tuple=3     ,	a_      :		Tuple=0.85					)  ->							List[Any]:
   _UpperCAmelCase 						=       {}
   for node in nodes:
      _UpperCAmelCase 						=       1

   _UpperCAmelCase 						=       {}
   for node in nodes:
      _UpperCAmelCase 						=       len(node.outbound					)

   for i in range(a_					):
      print(F'''======= Iteration {i + 1} ======='''					)
      for _, node in enumerate(a_					):
         _UpperCAmelCase 						=       (1 - d) + d * sum(
             ranks[ib] / outbounds[ib] for ib in node.inbound					)
      print(a_					)
def       __UpperCAmelCase		(		)  ->							Tuple:
   _UpperCAmelCase 						=       list(input("Enter Names of the Nodes: "					).split()					)

   _UpperCAmelCase 						=       [Node(a_					) for name in names]

   for ri, row in enumerate(a_					):
      for ci, col in enumerate(a_					):
         if col == 1:
            nodes[ci].add_inbound(names[ri]					)
            nodes[ri].add_outbound(names[ci]					)

   print("======= Nodes ======="					)
   for node in nodes:
      print(a_					)

   page_rank(a_					)


if __name__ == "__main__":
  main()



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE_  					= {'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= ['DetrFeatureExtractor']
  SCREAMING_SNAKE_CASE_  					= ['DetrImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= [
      'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
      'DetrForObjectDetection',
      'DetrForSegmentation',
      'DetrModel',
      'DetrPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_detr import DetrFeatureExtractor
    from .image_processing_detr import DetrImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_detr import (
        DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
        DetrForObjectDetection,
        DetrForSegmentation,
        DetrModel,
        DetrPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE_  					= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

