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Soloha48 [4]
3 years ago
12

Desirable characteristics of designs include:

Computers and Technology
1 answer:
polet [3.4K]3 years ago
8 0

Answer: High cohesion

Explanation: Cohesion in general refers to make a couple of the functions or characteristics to share the functions and content . In the field of computer science , cohesion is the best characteristic that can be included in the design because it connect the  various software so that they can share the responsibilities , function and can achieve better output through this. Thus high cohesion is the most preferred factor.

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As a design rule, access points within range of each other should be set to channel frequencies with minimal signal overlap. Users will find that roaming doesn’t work well, and performance will degrade because of interference between access points.

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Following are the python program to the given question:

from collections import defaultdict #import package

import heapq as h#import package

def primsMST(gr, st_v): # defining a method primsMST that takes two values in parameters  

   primalMST = defaultdict(set)#defining primalMST as a variable that calls defaultdict method  

   v = set([st_v])# defining a variable v that calls the set method and hold its value

   e_list = [(c, st_v, to)for to, c in gr[st_v].items()]#defining variable e_list that use loop to hold value in list

   h.heapify(e_list)# use package that holds heapify and holds its value

   while e_list:#defining while loop that checks e_list  

       c, s, e = h.heappop(e_list)#holding heapop method value in c,s,and e variable

       if e not in v:#defining if block checks e value is not in v

           v.add(e)# use add method to add value in v

           primalMST[s].add(e)#use primalMST as list that adds value in mwthod

   for nxt, c in gr[e].items():#defining for loop that uses nxt, and c variable that checks value in list

       if nxt not in v:#defining nxt variable that checks value is not in v

           h.heappush(e_list, (c, e, nxt))#add value into the heappush method

   return primalMST#return method value

connects=[['A','B',1],['B','C',4],['B','D',6],['D','E',5],['C','E',1]]#defining a list connects

my_gr=dict()#defining a variable my_gr that holds method dict() value  

for el in connects:#defining a for loop that uses el to count connects list value

   my_gr[el[0]]=dict()#use my_gr as list hold value in dict method

   my_gr[el[1]]=dict()#use my_gr as list hold value in dict method

for el in connects:#defining another for loop that uses el to count connects list

   my_gr[el[0]].update({el[1]:el[2]}) # use update method that update value in my_gr

   my_gr[el[1]].update({el[0]:el[2]})# use update method that update value in my_gr

x=dict(primsMST(my_gr, list(my_gr.keys())[0]))#defining x variable that calls dict method and  hold its value  

a=[]#defining an empty list

for k in x:#defining a for loop that uses k to hold dict method value

   for no in x[k]:#defining a loop that checks list value

       a.append([k,no,my_gr[k][no]])#use a that add value in list  

       print(a)#print list value.

Output:

Please find the attached file.

Program Explanation:

  • Import package.
  • defining a method primsMST that takes "gr and st_v" as parameters.
  • Inside the method, a primalMST as a variable is declared that calls "defaultdict" method.
  • Use the v variable that calls the set method and hold its value.
  • Defining "e_list" that uses the loop to hold value in lists, and define the heapify and holds its value.
  • In the next step, it defines a while loop checks e_list, and defines variable and hold value into the method and use another if to check value and return its value.
  • A list "connects" is declared that holds a value and defines a "my_gr" that holds "dict" method value and uses multiple for loop to print the calculated list value.

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