"""simple docstring"""
lowercase__   			=      [[0, 1, 1], [0, 0, 1], [1, 0, 0]]




class   __snake_case			:



      def __init__(		self       ,     lowercase)      ->     Optional[int]:





        '''simple docstring'''





        a__:	Optional[int]     				=      name
        a__:	str     				=      []
        a__:	Optional[Any]     				=      []



      def     lowerCamelCase_  (		self       ,     lowercase)      ->     str:





        '''simple docstring'''





        self.inbound.append(lowercase)



      def     lowerCamelCase_  (		self       ,     lowercase)      ->     int:





        '''simple docstring'''





        self.outbound.append(lowercase)



      def __repr__(		self)      ->     Optional[int]:





        '''simple docstring'''





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







def 		__a  (      _SCREAMING_SNAKE_CASE						,	_SCREAMING_SNAKE_CASE=3						,	_SCREAMING_SNAKE_CASE=0.85  )      ->Optional[Any]:
  a__:	List[str]     				=      {}
  for node in nodes:
    a__:	Dict     				=      1

  a__:	Tuple     				=      {}
  for node in nodes:
    a__:	List[Any]     				=      len(node.outbound  )

  for i in range(_SCREAMING_SNAKE_CASE  ):
    print(F'======= Iteration {i + 1} ======='  )
    for _, node in enumerate(_SCREAMING_SNAKE_CASE  ):
      a__:	Optional[int]     				=      (1 - d) + d * sum(
          ranks[ib] / outbounds[ib] for ib in node.inbound  )
    print(_SCREAMING_SNAKE_CASE  )







def 		__a  (      )      ->Any:
  a__:	str     				=      list(input('Enter Names of the Nodes: '  ).split()  )

  a__:	int     				=      [Node(_SCREAMING_SNAKE_CASE  ) for name in names]

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

  print('======= Nodes ======='  )
  for node in nodes:
    print(_SCREAMING_SNAKE_CASE  )

  page_rank(_SCREAMING_SNAKE_CASE  )


if __name__ == "__main__":
 main()




'''simple docstring'''


import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
	import tensorflow as tf

	from transformers.activations_tf import get_tf_activation




@require_tf
class     __snake_case			(    unittest.TestCase	):




		def 	_snake_case	(  self					:Tuple)					->			List[Any]:






								'''simple docstring'''






								UpperCamelCase_     :	List[str]					     =     tf.constant([-1_0_0, -1.0, -0.1, 0, 0.1, 1.0, 100.0])
								UpperCamelCase_     :	Any					     =     get_tf_activation("""gelu""")
								UpperCamelCase_     :	List[Any]					     =     get_tf_activation("""gelu_10""")

								UpperCamelCase_     :	Optional[int]					     =     gelu(_SCREAMING_SNAKE_CASE)
								UpperCamelCase_     :	Dict					     =     geluaa(_SCREAMING_SNAKE_CASE)

								UpperCamelCase_     :	List[Any]					     =     tf.where(y_gelu_aa < 10.0			,    1.0			,    0.0)

								self.assertEqual(tf.math.reduce_max(_SCREAMING_SNAKE_CASE).numpy().item()			,    10.0)
								self.assertTrue(np.allclose(y_gelu * clipped_mask			,    y_gelu_aa * clipped_mask))





		def 	_snake_case	(  self					:Any)					->			Dict:






								'''simple docstring'''






								get_tf_activation("""gelu""")
								get_tf_activation("""gelu_10""")
								get_tf_activation("""gelu_fast""")
								get_tf_activation("""gelu_new""")
								get_tf_activation("""glu""")
								get_tf_activation("""mish""")
								get_tf_activation("""quick_gelu""")
								get_tf_activation("""relu""")
								get_tf_activation("""sigmoid""")
								get_tf_activation("""silu""")
								get_tf_activation("""swish""")
								get_tf_activation("""tanh""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation("""bogus""")
								with self.assertRaises(_SCREAMING_SNAKE_CASE):
														get_tf_activation(_SCREAMING_SNAKE_CASE)




