Cormen-Lib - An academic tool for data structures and algorithms courses

Related tags

AlgorithmsCormen-Lib
Overview

Cormen Lib

The Cormen-lib module is an insular data structures and algorithms library based on the Thomas H. Cormen's Introduction to Algorithms Third Edition. This library was made specifically for administering and grading assignments related to data structure and algorithms in computer science.

With this module students can receive progress reports on their problem sets in real time as they complete assignments. Additionally, student submission assessment is done with unit tests, instead of hand-tracing, ensuring that the grades that students receive accurately reflect their submissions.

The Cormen-lib testing suite offers extremely lightweight and flexible unit testing utilities that can be used on any kind of assignment, whether to write functions or build classes. Course administration can be easily streamlined by restricting which library data structures students are allowed to use on any particular assignment.

Cormen-lib began as a project by two Brandeis University undergraduate students to replace hand-written problem sets written in pseudocode.

Provided Data Structures

The Cormen-lib library offers a set of fundamental data structures and algorithms, with behavior as specified by H. Cormen's Introduction to Algorithms. The following structures (separated by module) are supported:

  • arrays
    • Array
    • Array2D
  • queues
    • Queue
  • stacks
    • Stack
  • sets
    • Set
  • linked_lists
    • SinglyLinkedListNode
    • DoublyLinkedListNode
  • trees
    • BinaryTreeNode
    • NaryTreeNode
    • depth(NaryTreeNode)
  • hashing
    • HashTable
  • heaps
    • PriorityQueue
    • build_min_heap(Array)
  • graphs
    • Vertex
    • Graph

Unit Testing

Along with the Cormen-lib data structures come test utilities for writing test cases. The testing framework allows a course administer to easily write test cases for either expected function output or general class behavior. Test cases can then be compiled into a testing suite which runs all test cases. The testing suite has the capability set a test case run-time timeout and two record comma-separated test results for administrative use.

Consider the example test case below:

import unittest
from cormen_lib.factory_utils import make_stack
from cormen_lib.stacks import Stack
from cormen_lib.test_utils import build_and_run_watched_suite, run_generic_test

from student_submission import student_function

# TestCase class for testing student_function
class StudentFunctionTest(unittest.TestCase):

    # A single test case
    def simple_test_case(self):
        stack = make_stack([1, 2, 3])
        expected = make_stack([1, 1, 2, 2, 3, 3])
        run_generic_test(stack, expected, student_function, in_place=True)

# Run the test cases using build_and_run_watched_suite
if __name__ == '__main__':
    build_and_run_watched_suite([StudentFunctionTest], 4)

Installation

Cormen-lib is available on PyPI, and can be installed with pip.

Cormen-lib has the following dependencies:

Python >= 3.6

Issues

We encourage you to report issues using the Github tracker. We welcome all kinds of issues, especially those related to correctness, documentation and feature requests.

Academic Usage

If you are planning to use Cormen-lib for a university course and have questions, feel free to reach out by email.

Owner
Cormen Lib
Developers of the Cormen Lib academic Python library.
Cormen Lib
PathPlanning - Common used path planning algorithms with animations.

Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori

Huiming Zhou 5.1k Jan 08, 2023
Optimal skincare partition finder using graph theory

Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl

Jason Nguyen 1 Nov 22, 2021
🌟 Python algorithm team note for programming competition or coding test

🌟 Python algorithm team note for programming competition or coding test

Seung Hoon Lee 3 Feb 25, 2022
Sorting Algorithm Visualiser using pygame

SortingVisualiser Sorting Algorithm Visualiser using pygame Features Visualisation of some traditional sorting algorithms like quicksort and bubblesor

4 Sep 05, 2021
Python sample codes for robotics algorithms.

PythonRobotics Python codes for robotics algorithm. Table of Contents What is this? Requirements Documentation How to use Localization Extended Kalman

Atsushi Sakai 17.2k Jan 01, 2023
A command line tool for memorizing algorithms in Python by typing them.

Algo Drills A command line tool for memorizing algorithms in Python by typing them. In alpha and things will change. How it works Type out an algorith

Travis Jungroth 43 Dec 02, 2022
A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD.

8QueensGenetic A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD. The project uses the Kivy cross-p

Ahmed Gad 16 Nov 13, 2022
This repository is an individual project made at BME with the topic of self-driving car simulator and control algorithm.

BME individual project - NEAT based self-driving car This repository is an individual project made at BME with the topic of self-driving car simulator

NGO ANH TUAN 1 Dec 13, 2021
Silver Trading Algorithm

Silver Trading Algorithm This project was done in the context of the Applied Algorithm Trading Course (FINM 35910) at the University of Chicago. Motiv

Laurent Lanteigne 1 Jan 29, 2022
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines

py-earth A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines algorithm, in the style of scikit-learn. The py-earth p

431 Dec 15, 2022
A library for benchmarking, developing and deploying deep learning anomaly detection algorithms

A library for benchmarking, developing and deploying deep learning anomaly detection algorithms Key Features • Getting Started • Docs • License Introd

OpenVINO Toolkit 1.5k Jan 04, 2023
A litle algorithm that i made for transform a picture in a spreadsheet.

PicsToSheets How it works? It is an algorithm designed to transform an image into a spreadsheet file. this converts image pixels to color cells of she

Guilherme de Oliveira 1 Nov 12, 2021
8 Puzzle with A* , Greedy & BFS Search in Python

8_Puzzle 8 Puzzle with A* , Greedy & BFS Search in Python Python Install Python from here. Pip Install pip from here. How to run? 🚀 Install 8_Puzzle

I3L4CK H4CK3l2 1 Jan 30, 2022
Using Bayesian, KNN, Logistic Regression to classify spam and non-spam.

Make Sure the dataset file "spamData.mat" is in the folder spam\src Environment: Python --version = 3.7 Third Party: numpy, matplotlib, math, scipy

0 Dec 26, 2021
Implemented page rank program

Page Rank Implemented page rank program based on fact that a website is more important if it is linked to by other important websites using recursive

Vaibhaw 6 Aug 24, 2022
Policy Gradient Algorithms (One Step Actor Critic & PPO) from scratch using Numpy

Policy Gradient Algorithms From Scratch (NumPy) This repository showcases two policy gradient algorithms (One Step Actor Critic and Proximal Policy Op

1 Jan 17, 2022
So far implements A* will add more later

Pathfinding_Visualization Finds the shortest path between two nodes. The light blue path is the shortest path. The black nodes are barriers. Created i

Lukas DeLoach 1 Jan 18, 2022
FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain

Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom

33 Dec 17, 2022
marching Squares algorithm in python with clean code.

Marching Squares marching Squares algorithm in python with clean code. Tools Python 3 EasyDraw Creators Mohammad Dori Run the Code Installation Requir

Mohammad Dori 3 Jul 15, 2022
This is a demo for AAD algorithm.

Asynchronous-Anisotropic-Diffusion-Algorithm This is a demo for AAD algorithm. The subroutine of the anisotropic diffusion algorithm is modified from

3 Mar 21, 2022