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
A calculator to test numbers against the collatz conjecture

The Collatz Calculator This is an algorithm custom built by Kyle Dickey, used to test numbers against the simple rules of the Collatz Conjecture. Get

Kyle Dickey 2 Jun 14, 2022
Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm

Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm

Bruno Focassio 1 Nov 10, 2021
This application solves sudoku puzzles using a backtracking recursive algorithm

This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.

Glenda T 0 May 17, 2022
This python algorithm creates a simple house floor plan based on a user-provided CSV file.

This python algorithm creates a simple house floor plan based on a user-provided CSV file. The algorithm generates possible router placements and evaluates where a signal will be reached in every roo

Joshua Miller 1 Nov 12, 2021
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
Genius Square puzzle solver in Python

Genius Square puzzle solver in Python

James 3 Dec 15, 2022
Search algorithm implementations meant for teaching

Search-py A collection of search algorithms for teaching and experimenting. Non-adversarial Search There’s a heavy separation of concerns which leads

Dietrich Daroch 5 Mar 07, 2022
Python algorithm to determine the optimal elevation threshold of a GNSS receiver, by using a statistical test known as the Brown-Forsynthe test.

Levene and Brown-Forsynthe: Test for variances Application to Global Navigation Satellite Systems (GNSS) Python algorithm to determine the optimal ele

Nicolas Gachancipa 2 Aug 09, 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
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
A custom prime algorithm, implementation, and performance code & review

Colander A custom prime algorithm, implementation, and performance code & review Pseudocode Algorithm 1. given a number of primes to find, the followi

Finn Lancaster 3 Dec 17, 2021
A simple library for implementing common design patterns.

PyPattyrn from pypattyrn.creational.singleton import Singleton class DummyClass(object, metaclass=Singleton): # DummyClass is now a Singleton!

1.7k Jan 01, 2023
A Python description of the Kinematic Bicycle Model with an animated example.

Kinematic Bicycle Model Abstract A python library for the Kinematic Bicycle model. The Kinematic Bicycle is a compromise between the non-linear and li

Winston H. 36 Dec 23, 2022
All Algorithms implemented in Python

The Algorithms - Python All algorithms implemented in Python (for education) These implementations are for learning purposes only. Therefore they may

The Algorithms 150.6k Jan 03, 2023
Wordle-solver - A program that solves a Wordle using a simple algorithm

Wordle Solver A program that solves a Wordle using a simple algorithm. To see it

Luc Bouchard 3 Feb 13, 2022
Algorithms written in different programming languages

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Zoran Pandovski 1.3k Jan 03, 2023
Algorithms implemented in Python

Python Algorithms Library Laurent Luce Description The purpose of this library is to help you with common algorithms like: A* path finding. String Mat

Laurent Luce 264 Dec 06, 2022
This is the code repository for 40 Algorithms Every Programmer Should Know , published by Packt.

40 Algorithms Every Programmer Should Know, published by Packt

Packt 721 Jan 02, 2023
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
A selection of a few algorithms used to sort or search an array

Sort and search algorithms This repository has some common search / sort algorithms written in python, I also included the pseudocode of each algorith

0 Apr 02, 2022