A CLI application that downloads your AC submissions from OJ's like Atcoder,Codeforces,CodeChef and distil it into beautiful Submission HeatMap.

Last update: Jul 28, 2022

Related tags

Overview

📦 Yoda ⛏

Yoda A CLI that takes away the hassle of managing your submission files on different online-judges by automating the entire process of collecting and organizing your code submissions in one single Directory on your Machine also it distils User Submissions into beautiful Submission HeatMap.

Highlights

Downloads your AC solutions from CodeForces,CodeChef and Atcoder and creates a Directory within your Home Directory with the following File Structure:

├── Contests 
       └─Codeforces  
           └──<Handle-Name>  
                   └──<Contest-ID>  
                           └── <problem-index>  
           └──<tourist>  
                   └── 592  
                       └── A.cpp  
       └──CodeChef   
           └──<Handle-Name>  
                   └── <Contest-Name>  
                           └── <problem-name>  
                               └──<problem>  
           └──<tourist>  
                   └── AUG20B  
                       └──CHEFWED  
                               └──CHEFWED.cpp   
       └──AtCoder  
           └──<Handle-Name>  
                   └── <Contest-Name>  
                           └── <problem-level>  
           └──<tourist>  
                   └── AtCoder Beginner Contest 230  
                       └── A.cpp

Supports both Linux and Windows , see Releases.
Fully automated collection of all yours submissions with minimal effort setup
Simple and easy and pleasing interface to use interface to get you started in minutes
Extensive traceability for your submissions for Each OJ , Contest Name , Problem Name with the problem file stored with proper language extension.
Provides Clear and Beautiful Submission Heatmap of your Accepted Solutions for each Online Judge for all three OJ's (FunFact: Atcoder and Codechef doesn't provide you the Submission Heatmap themselves but Yoda does it all 😉 ).

Platforms

Harwest currently has extensive support for the following platforms:

While integration with various other OJs are still in the kitchen , your Contributions are always welcomed 😄 .

Installation

1.) You will require Python 3.5+ along with pip3 in order to be able to install and use Yoda. Refer to the documentation for installing pip on windows, ubuntu/linux

2.) Install this Github Repository and then enter into that directory in the terminal/command prompt then paste the follwing command:

$ pip install -e .

Getting Started

After installing the package, run the following command in the terminal:

$ yoda

You'd be greeted with something like this:

[email protected]:~$ yoda

...:██╗░░░██╗░█████╗░██████╗░░█████╗░:...
...:╚██╗░██╔╝██╔══██╗██╔══██╗██╔══██╗:...
...:░╚████╔╝░██║░░██║██║░░██║███████║:...
...:░░╚██╔╝░░██║░░██║██║░░██║██╔══██║:...
...:░░░██║░░░╚█████╔╝██████╔╝██║░░██║:...
...:░░░╚═╝░░░░╚════╝░╚═════╝░╚═╝░░╚═╝:...
    
   Hey there! 👋 Looks like you're using Yoda for the first time. Let's get you started 🚀
   There are three differnet OJ's from which you can get your User Statistics:
   Atcoder
   CodeForces
   CodeChef

   For each one of the OJ's you can Download all your AC solutions ✅ as well as get your Submission Heatmap!! 
    
   🥳 You rock! We're good to go now 🥳

To use it for a particular OJ run

# yoda 
    
   
$ yoda codeforces

$ yoda atcoder

$ yoda codechef

Now comes the main part :
1.)To harvest your submissions from the Codeforces platform.
Type the following command:

# yoda 
    
    
   
$ yoda codeforces download  # example

You'll be prompted for providing your Codeforces handle name

> Enter your prestigious Codeforces Handle : sus #example

Yoda will then start scraping all your AC submissions, starting from most recent submission till your very first submission.

2.) Get your Submisssion HeatMap:

Type the following command:

# yoda 
    
    
   
$ yoda codeforces graph  # example

You'll be prompted for providing your Codeforces handle name

> Enter your prestigious Codeforces Handle : vineet4571 #example

Yoda will then output on a new window your Submission HeatMap !!.

Final Directory Look

The Directory then is created after downloading your solution for each OJ and is divided by different handles which is further divided to Contest Dir. then your Problem Solution finally.

License

MIT License

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Comments

Bump numpy from 1.21 to 1.22.0
Bumps numpy from 1.21 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release

fd66547 REL: Prepare for the NumPy 1.22.0 release.

125304b wip

c283859 Merge pull request #20682 from charris/backport-20416

5399c03 Merge pull request #20681 from charris/backport-20954

f9c45f8 Merge pull request #20680 from charris/backport-20663

794b36f Update armccompiler.py

d93b14e Update test_public_api.py

7662c07 Update init.py

311ab52 Update armccompiler.py

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Releases(yoda)

yoda(Dec 17, 2021)

A CLI that takes away the hassle of managing your submission files on different online-judges by automating the entire process of collecting and organizing your code submissions in one single Directory on your Machine also distills User Submissions into beautiful Submission Heatmap.
Source code(tar.gz)
Source code(zip)
Statify.zip(34.78 KB)
Yoda(Dec 17, 2021)

A CLI that takes away the hassle of managing your submission files on different online-judges by automating the entire process of collecting and organizing your code submissions in one single Directory on your Machine also distills User Submissions into beautiful Submission HeatMap.
Source code(tar.gz)
Source code(zip)
Yoda.zip(80.38 KB)

Owner

Nikhar Manchanda

Pre Final Year - NIT Bhopal

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