F.R.I.D.A.Y.

Compile and grade large number of student submissions(in multiple languages) in a matter of seconds without the hassle of writing unit tests.

Install

The project needs NumPy to work correctly.

If you use pip, you can install it with:

pip install numpy

Or, if you use conda, you can install it with:

conda install numpy

To install the project repo, run the following git command:

git clone https://github.com/meghrathod/friday.git

Usage

This project is a console application, and can be executed/compiled using python3.

For basic execution, use:

python3 main.py -i path/to/zip/containing/all/c/files -ti path/to/test/case/file

The zip file should contain .c files in the format:

Problemnumber_rollnumber.c

eg: P1_1234.c

Test Case Writing

The project accepts a .json file containing:

• Test Input
• Expected Output
• Weightage

for each test case.

The .json is expected in the following format:

{
  "test_cases":
  [
    {
      "test_case": "Sample input 1(formatted)",
      "output": "Expected Output 1(formatted)",
      "marks": 10(Max Marks if test case passes)
    },
    {
      "test_case": "Sample input 2(formatted)",
      "output": "Expected Output 2(formatted)",
      "marks": 20(Max Marks if test case passes)
    }
  ]
}

Mandatory Flags

Flag	Use
-i	Specify path of zipfile containing C programs
-ti	Path to .json containing test I/O and Weigtage

Optional Flags

Flag	Use	Default
-o	Specify output path	../testResults.csv
-r	Record runtime and assign relative score	-
-m	Max value of bonus score	10
-to	Change timeout	60
-cl	Use Clang instead of GCC	-
-pn	Specify Problem Number	-
-ww	Remove all whitespaces from I/O	-
-abs	Char by char comparison b/w I/O	-