Uses diff command to compare expected output with student's submission output

Overview

AUTOGRADER for GRADESCOPE using diff with partial grading

Description:

Uses diff command to compare expected output with student's submission output

Utilizes partial grading for each test case

Steps for setup:

  1. Preffered start would be to have the solution to the project
  • Redirected input for the projects is assumed - Example: when run from command line: ./a.out < input1.txt
  • input1.txt consists of the input to the program
  1. These test cases are your input files that are stored in the /tests folder
  • Come up with as many test cases as you may want
  • These are to be saved in the format - input1.txt, input2.txt...
  1. For each of the specific test cases, generate the corresponding output files
  • These are to be saved in the format - output1.txt, output2.txt...
  • These are the expected output files to be tested against
  • Stored in the /tests folder
  1. makefile:
  • This is the script that compiles the uploaded cpp file and generates the executable file (exe)
  • The students MUST upload their submissions with the name 'project_test.cpp'
  1. test.bats:
  • You see test cases starting with @test
  • diff_files() is a function where the comparison happens
  • Various options for the diff command can be added here
  • For more info please do 'man diff'
  • variable 'numLines' is the number of lines in the expected output
  • variable 'testCasePoints' is the number of points for each test case (should match the number in weights.txt)
  • If each test cases has different number of lines or worth different points, these above two variables can be declared locally in each test case
  • compiletest: tests if program compiles
  • test1/2/3:
    • runs the exe with redirected input file and stores temperory ouput in testOutput.txt
    • run diff_files calls the diff_files() function with the two parameters (student's output and the expected output)
    • If the outputs do not match:
      • the for loop prints the comparison with the mismatched lines
      • the variable score calculates the partial credit for the test case
      • the \x1F is a unique character that gets parsed by the autograder.py file
  • testclean: makes sure the exe gets cleaned properly
  1. weights.txt: This file holds the breakdown of points for each test case
  2. run_autograder:
  • No changes here
  • This is the master shell script file that runs everything
  1. requirements.txt and setup.sh:
  • No changes here
  1. autograder.py:
  • main python file that grades and assigns points to give it to GradeScope for displaying
  1. The solution program need not be uploaded

Steps to configuring GradeScope:

  1. Go to your course's assignments page
  2. Click on 'Create Assignment' and select 'Programming Assignment'
  3. Fill out the information in the next page and create the assignment
  4. Once created, in the 'Configure AutoGrader' tab on the left:
  • Upload a zip file of all the files from the setup
  • The files need to be zipped directly and should not be one level deep inside a folder
  1. After uploading, click on 'Update Autograder'
  • This might take a couple of mins

You can test the autograder by uploading your solution. You can debug each student's submission by using the debug via ssh button in each student's submission page

Acknowlegments:

  • Aditya Narasimhan
  • Gregory Madra
  • Sanjana Mudduluru
  • Sudhindra Gopal Krishna
  • Monique Shotande

Reference:

https://bats-core.readthedocs.io/en/stable/tutorial.html

Copyright © 2022 adinaras

Types that make coding in Python quick and safe.

Type[T] Types that make coding in Python quick and safe. Type[T] works best with Python 3.6 or later. Prior to 3.6, object types must use comment type

Contains 17 Aug 01, 2022
Code and pre-trained models for "ReasonBert: Pre-trained to Reason with Distant Supervision", EMNLP'2021

ReasonBERT Code and pre-trained models for ReasonBert: Pre-trained to Reason with Distant Supervision, EMNLP'2021 Pretrained Models The pretrained mod

SunLab-OSU 29 Dec 19, 2022
Some custom tweaks to the results produced by pytkdocs.

pytkdocs_tweaks Some custom tweaks for pytkdocs. For use as part of the documentation-generation-for-Python stack that comprises mkdocs, mkdocs-materi

Patrick Kidger 4 Nov 24, 2022
Gtech μLearn Sample_bot

Ser_bot Gtech μLearn Sample_bot Do Greet a newly joined member in a channel (random message) While adding a reaction to a message send a message to a

Jerin Paul 1 Jan 19, 2022
Gaphor is the simple modeling tool

Gaphor Gaphor is a UML and SysML modeling application written in Python. It is designed to be easy to use, while still being powerful. Gaphor implemen

Gaphor 1.3k Jan 03, 2023
Seamlessly integrate pydantic models in your Sphinx documentation.

Seamlessly integrate pydantic models in your Sphinx documentation.

Franz Wöllert 71 Dec 26, 2022
This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Drive (and Race!) Autonomous Vehicles"

ESweek2021_educationclassA3 This is the repository that includes the code material for the ESweek 2021 for the Education Class Lecture A3 "Learn to Dr

F1TENTH Autonomous Racing Community 29 Dec 06, 2022
This tutorial will guide you through the process of self-hosting Polygon

Hosting guide This tutorial will guide you through the process of self-hosting Polygon Before starting Make sure you have the following tools installe

Polygon 2 Jan 31, 2022
Quilt is a self-organizing data hub for S3

Quilt is a self-organizing data hub Python Quick start, tutorials If you have Python and an S3 bucket, you're ready to create versioned datasets with

Quilt Data 1.2k Dec 30, 2022
A set of Python libraries that assist in calling the SoftLayer API.

SoftLayer API Python Client This library provides a simple Python client to interact with SoftLayer's XML-RPC API. A command-line interface is also in

SoftLayer 155 Sep 20, 2022
The source code that powers readthedocs.org

Welcome to Read the Docs Purpose Read the Docs hosts documentation for the open source community. It supports Sphinx docs written with reStructuredTex

Read the Docs 7.4k Dec 25, 2022
Generating a report CSV and send it to an email - Python / Django Rest Framework

Generating a report in CSV format and sending it to a email How to start project. Create a folder in your machine Create a virtual environment python3

alexandre Lopes 1 Jan 17, 2022
Loudchecker - Python script to check files for earrape

loudchecker python script to check files for earrape automatically installs depe

1 Jan 22, 2022
A python package to import files from an adjacent folder

EasyImports About EasyImports is a python package that allows users to easily access and import files from sister folders: f.ex: - Project - Folde

1 Jun 22, 2022
The mitosheet package, trymito.io, and other public Mito code.

Mito Monorepo Mito is a spreadsheet that lives inside your JupyterLab notebooks. It allows you to edit Pandas dataframes like an Excel file, and gener

Mito 1.4k Dec 31, 2022
An introduction to hikari, complete with different examples for different command handlers.

An intro to hikari This repo provides some simple examples to get you started with hikari. Contained in this repo are bots designed with both the hika

Ethan Henderson 18 Nov 29, 2022
Yet Another MkDocs Parser

yamp Motivation You want to document your project. You make an effort and write docstrings. You try Sphinx. You think it sucks and it's slow -- I did.

Max Halford 10 May 20, 2022
Canonical source repository for PyYAML

PyYAML - The next generation YAML parser and emitter for Python. To install, type 'python setup.py install'. By default, the setup.py script checks

The YAML Project 2k Jan 01, 2023
Sms Bomber, Tool Encryptor

ɴᴏʙɪᴛᴀシ︎ ғᴏʀ ᴀɴʏ ʜᴇʟᴘシ︎ Install pkg install git -y pkg install python -y pip install requests git clone https://github.com/AK27HVAU/akash Run cd Akash

ɴᴏʙɪᴛᴀシ︎ 4 May 23, 2022
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

Asabeneh 17.7k Jan 07, 2023