pythoness
Check how pythonic a Github user is.
❗️ ❗️ DO NOT judge any one based on how pythonic/a-pythonic they are/it is. ❗️ ❗️
TL;DR
npm i -g pythoness# Generate a token at https://github.com/settings/tokens echo the-token > ~/.pythonesspythoness # Check your daily Pythoness, public & private pythoness --public # Check your daily Pythoness, public repo only pythoness b1f6c1c4 # How Pythonic another user is? (public only) Installation
$ npm install --global pythonessUsage
pythoness [<who>]
Check pythoness of a Github user
Commands:
pythoness.js show-limit Show GitHub API usage and limit
pythoness.js check [<who>] Check pythoness of a Github user [default]
Positionals:
who Github username [string]
Options:
--version Show version number [boolean]
--token-file Github token file for full control of private repos, see
https://github.com/settings/tokens
[string] [default: "~/.pythoness"]
-t, --token Github token for full control of private repos, see
https://github.com/settings/tokens [string]
--public Ignore all private repos [boolean]
--help Show help [boolean]
-s, --self Check their own repos [boolean] [default: true]
-S, --star Include starred repos [boolean] [default: true]
-f, --following Check following's repos (depth=1) [boolean] [default: true]
-F, --followers Check followers' repos (depth=1) [boolean] [default: true]
FAQ
Why this program is written in JavaScript, not Python?
Because of neutrality of accounting.
How Pythoness calculated?
Pythoness of a single repo
where is the ratio of Python bytes among all code bytes (the proportion of Python blue in the Github webpage).
Self-Pythoness of an user
Self-Pythoness of an user is defined to be the "congress" average of their repos' Pythoness. First, a repo is assigned senate and the house seats, separatedly, based on the following rules:
| type | Senate seats | The House seats |
|---|---|---|
| owner, empty, source | 100 | 0 |
| owner, empty, fork | 1 | 0 |
| owner, non-empty, source | 1000 | Number of total code bytes |
| owner, non-empty, fork | 50 | 0 |
| non-owner, starred | 10 | 0 |
Then, senate and the house will "vote", or calculate weighted arithmetic average. Finally, the "congress" average is defined as
Following-Pythoness of an user
First, all users followed by the targeted user will be enumerated and have their self-pythoness calculated. Next, each one is assigned senate and the house seats, separatedly, based on the following rules:
| type | Senate seats | The House seats |
|---|---|---|
| has written at least one byte code | 1000 | Number of total code bytes |
| has not writeen any code | 10 | 0 |
Then follow the same procedure as above.
Followers-Pythoness of an user
All users following the targeted user will be enumerated and have their self-pythoness calculated. The same procedure as above applies.
Final Pythoness of an user
It's defined as the RMS (root-mean-square) of their self-, following-, followers- Pythoness (whichever enabled in the command line).
Legal
This repo is licensed with GNU AGPLv3 or later.
Again, the output of this program has absolutely no relationship with the Github user's personality, morality, and/or technical skills. Do NOT judge any person, organization, or entity based on how pythonic they are(aren't)/it is(isn't). The author(s) hold(s) absolutely no liability for anything caused by any interpretation of pythonic information, including but not limited to the output of this program.