




'''simple docstring'''
# Author: OMKAR PATHAK, Nwachukwu Chidiebere

# Use a Python dictionary to construct the graph.
from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE			=						TypeVar("T")
class   __UpperCAmelCase				(     Generic[T]				):



					'''simple docstring'''





					def __init__(	self     :						Union[str, Any]      ,       _lowercase     :						bool = True)    ->							None:
								A_									= {}  # dictionary of lists
								A_									= directed



					def     __snake_case						(	self     :						Optional[int]      ,       _lowercase     :						T      ,       _lowercase     :						T)    ->							GraphAdjacencyList[T]:

								if not self.directed:  # For undirected graphs
											# if both source vertex and destination vertex are both present in the
											# adjacency list, add destination vertex to source vertex list of adjacent
											# vertices and add source vertex to destination vertex list of adjacent
											# vertices.
											if source_vertex in self.adj_list and destination_vertex in self.adj_list:
														self.adj_list[source_vertex].append(_lowercase)
														self.adj_list[destination_vertex].append(_lowercase)
											# if only source vertex is present in adjacency list, add destination vertex
											# to source vertex list of adjacent vertices, then create a new vertex with
											# destination vertex as key and assign a list containing the source vertex
											# as it's first adjacent vertex.
											elif source_vertex in self.adj_list:
														self.adj_list[source_vertex].append(_lowercase)
														A_									= [source_vertex]
											# if only destination vertex is present in adjacency list, add source vertex
											# to destination vertex list of adjacent vertices, then create a new vertex
											# with source vertex as key and assign a list containing the source vertex
											# as it's first adjacent vertex.
											elif destination_vertex in self.adj_list:
														self.adj_list[destination_vertex].append(_lowercase)
														A_									= [destination_vertex]
											# if both source vertex and destination vertex are not present in adjacency
											# list, create a new vertex with source vertex as key and assign a list
											# containing the destination vertex as it's first adjacent vertex also
											# create a new vertex with destination vertex as key and assign a list
											# containing the source vertex as it's first adjacent vertex.
											else:
														A_									= [destination_vertex]
														A_									= [source_vertex]
								else:  # For directed graphs
											# if both source vertex and destination vertex are present in adjacency
											# list, add destination vertex to source vertex list of adjacent vertices.
											if source_vertex in self.adj_list and destination_vertex in self.adj_list:
														self.adj_list[source_vertex].append(_lowercase)
											# if only source vertex is present in adjacency list, add destination
											# vertex to source vertex list of adjacent vertices and create a new vertex
											# with destination vertex as key, which has no adjacent vertex
											elif source_vertex in self.adj_list:
														self.adj_list[source_vertex].append(_lowercase)
														A_									= []
											# if only destination vertex is present in adjacency list, create a new
											# vertex with source vertex as key and assign a list containing destination
											# vertex as first adjacent vertex
											elif destination_vertex in self.adj_list:
														A_									= [destination_vertex]
											# if both source vertex and destination vertex are not present in adjacency
											# list, create a new vertex with source vertex as key and a list containing
											# destination vertex as it's first adjacent vertex. Then create a new vertex
											# with destination vertex as key, which has no adjacent vertex
											else:
														A_									= [destination_vertex]
														A_									= []

								return self



					def __repr__(	self     :						str)    ->							str:
								return pformat(self.adj_list)










'''simple docstring'''
import numpy as np





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		np.array:
			return 1 / (1 + np.exp(-vector     ))





def 			lowerCamelCase(							SCREAMING_SNAKE_CASE_     )		->		np.array:
			return vector * sigmoid(1.702 * vector     )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




