Where i need help has multiple parenthesis beside them thank you.   def readMatrix(inputfilename):     ''' Returns a two-dimentional array created from the data in the given file.              Pre:  'inputfilename' is the name of a text file whose first row contains the             number of vertices in a graph and whose subsequent rows contain the rows of             the adjacency matrix of the graph. '''          # Open the file     f = open(inputfilename, 'r')     # Read the number of vertices from the first line of the file     n = int(f.readline().strip())     # Read the rest of the file stripping off the newline characters and splitting it into     # a list of intger values     rest = f.read().strip().split()     # Create the adjacency matrix     adjMat = [] (I need help creating the adjacency matrix)()()     ...           # Return the matrix     return adjMat      testFile = input("Enter the name of the input file") graphMatrix = readMatrix(testFile) graphMatrix def Prim(m):     ''' Runs Prim's algorithm on the graph G with adjacency matrix 'm'.              POST: The list of edges in a minimum spanning tree of G and the total weight             of the spanning tree has been returned.                      PRE:  'm' is the adjacency matrix of a connected graph.  '''          # Initialize dictionaries to hold the nearest and distance vectors     n = len(m)  # the number of vertices is equal to the number of rows in the matrix          distance = {}     for i in range(1,n):         distance[i] = m[0][i]     nearest = {}     for i in range(1,n):         nearest[i] = 0     # Implement Prim's algorithm (i need help implementing the prim's algorithm)()()     ...     # Create the list of edges and calculate the total weight (i need help Creating the list of edges and calculate the total weight)()()     ...     return list_of_edges, weight     edgeList, totalWeight = Prim(graphMatrix) print(f'The list of edges in the spanning tree is: {edgeList}') print(f'The total weight of the spanning tree is: {totalWeight}')

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Where i need help has multiple parenthesis beside them thank you.

 

def readMatrix(inputfilename):
    ''' Returns a two-dimentional array created from the data in the given file.
    
        Pre:  'inputfilename' is the name of a text file whose first row contains the
            number of vertices in a graph and whose subsequent rows contain the rows of
            the adjacency matrix of the graph. '''
    
    # Open the file
    f = open(inputfilename, 'r')

    # Read the number of vertices from the first line of the file
    n = int(f.readline().strip())

    # Read the rest of the file stripping off the newline characters and splitting it into
    # a list of intger values
    rest = f.read().strip().split()

    # Create the adjacency matrix
    adjMat = [] (I need help creating the adjacency matrix)()()
    ... 
    
    # Return the matrix
    return adjMat
    
testFile = input("Enter the name of the input file")
graphMatrix = readMatrix(testFile)
graphMatrix

def Prim(m):
    ''' Runs Prim's algorithm on the graph G with adjacency matrix 'm'.
    
        POST: The list of edges in a minimum spanning tree of G and the total weight
            of the spanning tree has been returned.
            
        PRE:  'm' is the adjacency matrix of a connected graph.  '''
    
    # Initialize dictionaries to hold the nearest and distance vectors
    n = len(m)  # the number of vertices is equal to the number of rows in the matrix
    
    distance = {}
    for i in range(1,n):
        distance[i] = m[0][i]

    nearest = {}
    for i in range(1,n):
        nearest[i] = 0

    # Implement Prim's algorithm (i need help implementing the prim's algorithm)()()
    ...

    # Create the list of edges and calculate the total weight (i need help Creating the list of edges and calculate the total weight)()()
    ...

    return list_of_edges, weight    

edgeList, totalWeight = Prim(graphMatrix)
print(f'The list of edges in the spanning tree is: {edgeList}')
print(f'The total weight of the spanning tree is: {totalWeight}')

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