repustate

import requests

API_KEY = 'YOUR_API_KEY'
BASE_URL = 'http://social.repustate.com/%(api_key)s/%(call)s.json'

# Create a new data source.
kwargs = {'api_key':API_KEY, 'call':'add-datasource'}
response = requests.post(BASE_URL % kwargs, {'name':'Rob Ford', 'language':'en', 'niche':'general'})
datasource_id = response.json()['datasource_id']

geotheory

// Galaxy collisions

Star[] Stars;
PVector[] galp;
PVector[] galv;
color[] galcol, galcol2;
boolean paused = false;
int side = 100;      // border around Stars' initial positions
int Startot = 300;   // number of Stars
int obsize = 10;     // size of Stars

erynofwales

import Foundation

public protocol AlmostEquatable {
    @warn_unused_result
    func ==~(lhs: Self, rhs: Self) -> Bool
}

public protocol EquatableWithinEpsilon: Strideable {
    static var Epsilon: Self.Stride { get }
}

Bluebie

// Model to represent an account in the distributed database
// Accounts are mainly a place users can store information like their private keys, in a password protected
// vault, so they can login conveniently from other devices and keep hold of their private keys and record
// what blogs they are authors of. It's also a way for other users to lookup an authors public keys to validate
// their other objects when determining if a new version of some data really belongs to the blog it claims to be
// related to.
const nacl = require('tweetnacl')
const cbor = require('borc')

class HSAccount {

bbstilson

const { Transform } = require('stream');

class AppendInitVect extends Transform {
  constructor(initVect, opts) {
    super(opts);
    this.initVect = initVect;
    this.appended = false;
  }

  _transform(chunk, encoding, cb) {

natecook1000

// Open-ended range operators
// 
// 100... is equivalent to 100...Int.max
// ...-100 is equivalent to Int.min...-100
// ..<3 is equivalent to Int.min..<3

import Swift

/// Conforming types provide static `max` and `min` constants.
protocol MinMaxType {

Robsteranium

/*
 * NAME
 * 
 * statistics-distributions.js - JavaScript library for calculating
 *   critical values and upper probabilities of common statistical
 *   distributions
 * 
 * SYNOPSIS
 * 
 * 

devzl

// Simple example of how to display an image from IPFS on your html web page
// Using ipfs/js-ipfs : https://github.com/ipfs/js-ipfs#use-in-the-browser
// Don't forget to include the scripts into your html page:
// <script src="https://unpkg.com/ipfs/dist/index.min.js"></script>
// <script src="https://cdn.jsdelivr.net/npm/ipfs/dist/index.min.js"></script>

function showIPFSImage () {
  // Create the IPFS node instance
  const node = new Ipfs()

brentp

# -*- coding: utf-8 -*-

u"""
Beta regression for modeling rates and proportions.

References
----------
Grün, Bettina, Ioannis Kosmidis, and Achim Zeileis. Extended beta regression
in R: Shaken, stirred, mixed, and partitioned. No. 2011-22. Working Papers in
Economics and Statistics, 2011.

chris-rock

// Part of https://github.com/chris-rock/node-crypto-examples

// Nodejs encryption of buffers
var crypto = require('crypto'),
    algorithm = 'aes-256-ctr',
    password = 'd6F3Efeq';

var fs = require('fs');
var zlib = require('zlib');