Euclideat Dis lists z and y c ented by x and ween the corre roject3 tance.py 5 -5 9 6 7 4

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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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 <enter>
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.
..
Transcribed Image 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 <enter> 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. ..
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