




"""simple docstring"""







from __future__ import annotations

from typing import Any

class 				snake_case_			(					lowerCamelCase_			):







   """simple docstring"""




   pass

class 				snake_case_			:







   """simple docstring"""




   def __init__(		self       ,					lowerCamelCase_)				->   None:
       UpperCamelCase              =	data
       UpperCamelCase              =	None







   def __iter__(		self)				->   Optional[Any]:
       UpperCamelCase              =	self
       UpperCamelCase              =	[]
       while node:
           if node in visited:
               raise ContainsLoopError
           visited.append(lowerCamelCase_)
           yield node.data
           UpperCamelCase              =	node.next_node







   @property
   def   UpperCAmelCase__			(		self)				->   bool:
       try:
           list(self)
           return False
       except ContainsLoopError:
           return True


if __name__ == "__main__":
  SCREAMING_SNAKE_CASE_	     =       Node(1)
  SCREAMING_SNAKE_CASE_	     =       Node(2)
  SCREAMING_SNAKE_CASE_	     =       Node(3)
  SCREAMING_SNAKE_CASE_	     =       Node(4)
  print(root_node.has_loop)  # False
  SCREAMING_SNAKE_CASE_	     =       root_node.next_node
  print(root_node.has_loop)  # True

  SCREAMING_SNAKE_CASE_	     =       Node(5)
  SCREAMING_SNAKE_CASE_	     =       Node(6)
  SCREAMING_SNAKE_CASE_	     =       Node(5)
  SCREAMING_SNAKE_CASE_	     =       Node(6)
  print(root_node.has_loop)  # False

  SCREAMING_SNAKE_CASE_	     =       Node(1)
  print(root_node.has_loop)  # False



import numpy as np







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				np.ndarray:
  return 1 / (1 + np.exp(-vector				))







def SCREAMING_SNAKE_CASE	(			__lowerCAmelCase				)    ->				np.ndarray:
  return vector * sigmoid(__lowerCAmelCase				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

