CPC is a command-line utility aimed towards competitive programmers.

Features

At any point in time, you can run cpc or cpc -h to get a list of what the utility has to offer, or cpc <command> -h for details related to a particular command.

Stress Testing

CPC provides functionality to test an optimized program against bruteforce to compare their outputs with

cpc st -b <bruteforce-executable> -o <optimized-executable> -tg <testcase-generator>

It is advised to supply the arguments via the .cpcrc file. This would shorten the command to:

cpc st

Scraping Submissions

Users can scrape their submissions from various online judges. Even though support is limited, contribution is welcome to add support to other judges.
Judges currently supported:

Codeforces (Gym is also supported)
SPOJ

Interactive scraper can be launched using:

cpc scrape

Configuration

CPC can be configured using a .cpcrc file. This would sit in the same repository as to where you will be operating from. If it exists in another directory, a path can be specified using:

cpc <sub-command> -cf <path/to/.cpcrc>

This is very useful for the stress testing command. Below is an example configuration:

precommand: |
    # To compile code into executables
    g++ -std=c++17 testcase_generator.cpp -o generator
    g++ -std=c++17 main.cpp -o optimized
    g++ -std=c++17 bruteforce.cpp -o bruteforce
count: 1000                     # Default -> 100
bruteforce: bruteforce          # Default -> bruteforce
optimized: optimized            # Default -> optimized
testcase_generator: generator   # Default -> generator

Installation

Installation via PIP

The installation process is very straight-forward. CPC is available as a PYPI package and can be installed via:

pip install cpc

Manual installation

To install manually, clone from github. It is advised to use python venv:

git clone https://github.com/Purhan/cpc.git
cd cpc
pip install --editable .

purhan / cpc