- "/workspace/project3$ python3 distance.py 5 XXXXXXXXXX7 4 13.0E distance.pyimport mathimport stdioimport sys# Accept n (int) as command -line argument.# Accept n floats from standard input...

13.0 E distance.py import math import stdio import sys # Accept n (int) as command -line argument. # Accept n floats from standard input and store them in a list x. .. for i in range (...): # Accept n floats from standard input and store them in a list y. y = for i in range (...): 2 / 6 Project 3 (Mozart Waltz Generator) .. # Set distance to 0.0. # Compute the squared Euclidean distance between for i in range (...): # Add square of (x[i] - y[i]) to distance. x and y. .. # Set distance to the square root of itself. ... # Write distance to standard output. .. "/>
Extracted text: Exercise 3. (Euclidean Distance) Write a program called distance.py that accepts n (int) as command-line argument, two n-dimensional lists x and y of floats from standard input, and writes to standard output the Euclidean distance between two vectors represented by x and y. The Euclidean distance is calculated as the square root of the sums of the squares of the differences between the corresponding entries. >- "/workspace/project3 $ python3 distance.py 5 -9 1 10 -1 1 -5 9 6 7 4 13.0 E distance.py import math import stdio import sys # Accept n (int) as command -line argument. # Accept n floats from standard input and store them in a list x. .. for i in range (...): # Accept n floats from standard input and store them in a list y. y = for i in range (...): 2 / 6 Project 3 (Mozart Waltz Generator) .. # Set distance to 0.0. # Compute the squared Euclidean distance between for i in range (...): # Add square of (x[i] - y[i]) to distance. x and y. .. # Set distance to the square root of itself. ... # Write distance to standard output. ..