



def      _A				(UpperCamelCase		:      list[list[float]] )  ->list[list[float]]:



			'''simple docstring'''







			lowerCamelCase__ :      list[list[float]]								=		[]
			for data in source_data:
						for i, el in enumerate(UpperCamelCase ):
									if len(UpperCamelCase ) < i + 1:
												data_lists.append([] )
									data_lists[i].append(float(UpperCamelCase ) )
			return data_lists






def      _A				(UpperCamelCase		:      list[list[float]]      ,			UpperCamelCase		:      list[int] )  ->list[list[float]]:



			'''simple docstring'''







			lowerCamelCase__ :      list[list[float]]								=		[]
			for dlist, weight in zip(UpperCamelCase      ,			UpperCamelCase ):
						lowerCamelCase__ :      Tuple								=		min(UpperCamelCase )
						lowerCamelCase__ :      Union[str, Any]								=		max(UpperCamelCase )

						lowerCamelCase__ :      list[float]								=		[]
						# for weight 0 score is 1 - actual score
						if weight == 0:
									for item in dlist:
												try:
															score.append(1 - ((item - mind) / (maxd - mind)) )
												except ZeroDivisionError:
															score.append(1 )

						elif weight == 1:
									for item in dlist:
												try:
															score.append((item - mind) / (maxd - mind) )
												except ZeroDivisionError:
															score.append(0 )

        # weight not 0 or 1
						else:
									lowerCamelCase__ :      Optional[Any]								=		f"Invalid weight of {weight:f} provided"
									raise ValueError(UpperCamelCase )

						score_lists.append(UpperCamelCase )

			return score_lists






def      _A				(UpperCamelCase		:      list[list[float]] )  ->list[float]:



			'''simple docstring'''







			lowerCamelCase__ :      list[float]								=		[0 for i in range(len(score_lists[0] ) )]

			for slist in score_lists:
						for j, ele in enumerate(UpperCamelCase ):
									lowerCamelCase__ :      str								=		final_scores[j] + ele

			return final_scores






def      _A				(UpperCamelCase		:      list[list[float]]      ,			UpperCamelCase		:      list[int] )  ->list[list[float]]:



			'''simple docstring'''







			lowerCamelCase__ :      List[Any]								=		get_data(UpperCamelCase )
			lowerCamelCase__ :      Union[str, Any]								=		calculate_each_score(UpperCamelCase      ,			UpperCamelCase )
			lowerCamelCase__ :      List[str]								=		generate_final_scores(UpperCamelCase )

			# append scores to source data
			for i, ele in enumerate(UpperCamelCase ):
						source_data[i].append(UpperCamelCase )

			return source_data








# 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

_lowercase     							=						TypeVar('''T''')
class 				__A					( Generic[T]      ):





			def __init__(self							,    __magic_name__ = True				):
						lowerCamelCase__ :      dict[T, list[T]]								=		{}  # dictionary of lists
						lowerCamelCase__ :      List[str]								=		directed





			def        _snake_case    (self							,    __magic_name__							,    __magic_name__				):

						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(__magic_name__				)
												self.adj_list[destination_vertex].append(__magic_name__				)
									# 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(__magic_name__				)
												lowerCamelCase__ :      int								=		[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(__magic_name__				)
												lowerCamelCase__ :      Dict								=		[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:
												lowerCamelCase__ :      Any								=		[destination_vertex]
												lowerCamelCase__ :      Optional[Any]								=		[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(__magic_name__				)
									# 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(__magic_name__				)
												lowerCamelCase__ :      Optional[Any]								=		[]
									# 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:
												lowerCamelCase__ :      Tuple								=		[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:
												lowerCamelCase__ :      Optional[int]								=		[destination_vertex]
												lowerCamelCase__ :      List[Any]								=		[]

						return self





			def __repr__(self				):
						return pformat(self.adj_list				)



