Python Assignment CS253

This repository contains the python code for a python assignment for the course CS253 : Software Development and Operations, Spring 2025 under the Prof. Indranil Saha.

Setup Instructions

Clone this repository using the below command in terminal.

git clone https://github.com/Hitarth-7/python-assignment-CS253.git

Run the code below to compile the files and create an executable file.

python filename.py

Assignment Structure

The repository consists of :

SmartTextProcessingTool.py

The tool takes two inputs:

• A unique registration number n (a positive integer) assigned to each writer.
• A content string s (a non-empty string containing only letters) representing the writer’s text.
• To ensure dynamic content processing, the tool follows these rules:
• Even Registration Number: If n is even, the tool reverses the content to reflect a ”mirror perspective,” inspired by ancient Sanskrit scripts.
• Odd Registration Number: If n is odd, the tool converts all vowels to uppercase (to highlight their importance) and consonants to lowercase (to soften their impact), just like in poetic recitations.
• Word Pattern Extraction: The number of 1s in the binary representation of n determines a substring length k. The tool extracts all substrings of length k from s and stores them for analysis.
• Lexicographical Ordering for Clarity: If the bitwise AND between n and the length of s results in zero, this tool sorts these extracted substrings in lexicographical order (helpful for dictionary-based archiving). Otherwise, it lists them in reverse order (often used for artistic effect in poetry).

Function Definitions for Smart Text-Processing Tool

Function Name	Purpose
validate_input(n, s)	Ensures n is a positive integer and s is a non-empty string with letters only.
process_string(n, s)	Transforms the string based on the parity of n: reverses if even, else formats vowels/consonants.
count_set_bits(n)	Counts the number of 1s in the binary representation of n to determine substring length.
extract_substrings(s, k)	Extracts all substrings of length k from the string s.
sort_or_reverse(n, s, substrings)	Sorts substrings lexicographically if n & len(s) == 0, otherwise reverses the order.
main()	Manages user input, calls all necessary functions, and handles multiple test cases.

RockPaperScissors.py

RPS is a popular hand game played between two players. The rules of the game are as follows:

• Rock beats Scissors.
• Scissors beats Paper.
• Paper beats Rock.
• Imagine you and your friend want to decide who gets the last slice of pizza. Instead of arguing, you both agree to play a fair Rock-Paper-Scissors game. The winner gets the pizza, and if it’s a tie, you play again.

Function Definitions for Rock Paper Scissors game

Function Name	Purpose
Rock_Paper_Scissors(user_in, wins, losses, ties)	Generates random response from the computer side and calculates the winner as well as the total score
main()	Manages user input, calls all necessary functions, and handles multiple test cases.

SumOfNPrimes.py

This program calculates the sum of n primes using Seive of Eratosthenes method

Function Definitions for Sum Of N Primes

Function Name	Purpose
validate_input(n)	Ensures n is a non negative integer.
sum_of_n_primes(n)	Calculates the sum of n primes using Seive Algorithm
main()	Manages user input, calls all necessary functions, and handles multiple test cases.

TemperatureStatisticalAnalysis.py

This program calculates the

• The mean temperature
• The median temperature
• The standard deviation
• The variance (calculated as sample variance, not population variance, using Bessel’s correction for an unbiased estimate).
• These calculations will help determine the fluctuations and patterns in the temperature data.

Function Definitions for Sum Of N Primes

Function Name	Purpose
analyze_temperatures(temperatures)	Calculates the mean, median, std dev and variance of the data provided.
main()	Manages user input, calls all necessary functions, and handles multiple test cases.

LinearEquationSolver.py

This program solves a system of linear equations of the form: AX = B where A is an N × N matrix and B is an N × 1 vector

Function Name	Purpose
solve_linear_system(A, B)	Solves the Linear equation AX=B using X=A_inv*B.
main()	Manages user input, calls all necessary functions, and handles multiple test cases.

RandomDatasetGenNPreprocessor.py

This program does the following.

• Generate a synthetic dataset representing environmental observations:
• A dataset with N random points for two numerical variables X and Y .
• X values should be uniformly distributed within a user-defined range.
• Y values should be computed using a randomly generated mathematical function of X, following the form:
• Y = Af1(BX) + Cf2(DX) + Ef3(F X) where:
• A, B, C, D, E, F are randomly generated constants.
• f1, f2, f3 are randomly chosen from {sin, cos, tan, log (valid for positive X), square, cube}.
• Generate visualizations to analyze patterns:
• A scatter plot of X vs Y .
• A histogram of X with an appropriate number of bins.
• A box plot of Y to detect outliers.
• A line plot of sorted X values against their corresponding Y values.
• Enhance clarity by adding:
• Proper plot titles.
• Axis labels for better understanding.
• Legends (if applicable).
• Allows user customization:
• The number of data points (N).
• The range of values for X.
• Ensure reproducibility by setting a random seed.

Function Definitions for Random Dataset Generator and Preprocessor

Function Name	Purpose
generate_dataset(N, x_min, x_max)	Generates N random points for X within a range and computes Y using a random mathematical function.
plot_scatter(X, Y)	Creates a scatter plot of X vs Y to visualize distribution.
plot_histogram(X)	Plots a histogram of the X values to show their distribution across bins.
plot_box(Y)	Generates a box plot of Y to detect outliers and spread.
plot_line(X, Y)	Creates a line plot of sorted X values against corresponding Y values.
set_random_seed(seed)	Sets a fixed seed for random number generation to ensure reproducibility.

Author

• Hitarth Makawana

• 230479