iven a square matrix, calculate the absolute difference between the sums of its diagonals.
For example, the square matrix is shown below:
1 2 3
4 5 6
9 8 9
The left-to-right diagonal = . The right to left diagonal = . Their absolute difference is .
Function description
Complete the function in the editor below.
diagonalDifference takes the following parameter:
- int arr[n][m]: an array of integers
Return
- int: the absolute diagonal difference
Input Format
The first line contains a single integer, , the number of rows and columns in the square matrix .
Each of the next lines describes a row, , and consists of space-separated integers .
Constraints
Output Format
Return the absolute difference between the sums of the matrix's two diagonals as a single integer.
Sample Input
3
11 2 4
4 5 6
10 8 -12
Sample Output
15
Explanation
The primary diagonal is:
11
5
-12
Sum across the primary diagonal: 11 + 5 - 12 = 4
The secondary diagonal is:
4
5
10
Sum across the secondary diagonal: 4 + 5 + 10 = 19
Difference: |4 - 19| = 15
Note: |x| is the absolute value of x
#!/bin/python3
import math
import os
import random
import re
import sys
#
# Complete the 'diagonalDifference' function below.
#
# The function is expected to return an INTEGER.
# The function accepts 2D_INTEGER_ARRAY arr as parameter.
#
def diagonalDifference(arr):
# Write your code here
sum1=0
sum2=0
intt=0
las=len(arr)-1
for i in arr:
sum1=sum1+i[intt]
sum2=sum2+i[las]
intt+=1
las-=1
print(sum1)
print(sum2)
return(abs(sum1-sum2))
if __name__ == '__main__':
fptr = open(os.environ['OUTPUT_PATH'], 'w')
n = int(input().strip())
arr = []
for _ in range(n):
arr.append(list(map(int, input().rstrip().split())))
result = diagonalDifference(arr)
fptr.write(str(result) + '\n')
fptr.close()
Example1:
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