Olav Nymoen OlavHN

## vote.py
from scipy import sparse


class Proposition:
    def __init__(self, title):
        self.title = title
        self.votes = {}
        self.delegations = {}

    def vote(self, user, vote):

## hierarchical_test.py
import tensorflow as tf


def example():
    leafs = tf.contrib.lookup.index_table_from_file(
        vocabulary_file='leafs.txt')
    parents = tf.contrib.lookup.index_table_from_file(
        vocabulary_file='parents.txt')
    leafs2parents = tf.contrib.lookup.index_to_string_table_from_file(
        vocabulary_file='leaf2parents.txt')

## test.js
import React, {Component, PropTypes} from 'react';
import {Tabs, Tab} from 'material-ui/Tabs';

class MyAwesomeTabTemplate extends Component {
  static propTypes = {
    children: PropTypes.node,
    selected: PropTypes.bool,
  };

  render() {

## neuralstyle.js
'use strict';

let firebase = require('firebase');
let fs = require('fs');
let spawn = require('child_process').spawn;
let throttle = require('lodash.throttle');
let request = require('superagent');
let AWS = require('aws-sdk');

let ref = new Firebase('https://neural.firebaseio.com/');

## logger.js
import Firebase from 'firebase';

const firebaseUrl = 'https://spatially.firebaseio.com/clients';
const timeOffsetUrl = 'https://spatially.firebaseio.com/.info/serverTimeOffset';
let ref = new Firebase(firebaseUrl);
let timeRef = new Firebase(timeOffsetUrl);
let cachedUid;

export default ({dispatch, getState}) => next => action => {
  // The first action rehydrates, so now we've probably got the uid now

## gist:158edfc85c74213d6e3d
// known mcc/mnc values for our sim card (this is Telenor Norway)
var mcc = 242;
var mnc = 01;

// First get the sim card number (API supports multi sim phones)
var simNum = Array.slice(window.navigator.mozMobileConnections)
    .reduce(function(current, connection, i) {
    if (connection && connection.data && connection.data.network) {
      // For ONCE we're actually using type coercion as it's meant here!
      if (connection.data.network.mcc == mcc &&

## gameoflife
function gameoflife(matrix) {
  var population = [];
  for (var i = 0; i < matrix.length; i++) {
    population[i] = [];
    for (var j = 0; j < matrix[0].length; j++)
      population[i][j] = 0;
  }

  matrix.forEach(function(row, i) {
    row.forEach(function(col, j) {

## Header.jsx
'use strict';

var React = require('react');
var RCSS = require('rcss');
var tweenState = require('react-tween-state');
var DragMixin = require('./mixins/drag-mixin');

var headerStyle = RCSS.registerClass({
  position: 'relative',
  width: '100%',

## gist:ff73b104bb25e5e08a51
<!doctype html>
<html>
  <head>
    <!-- Web Component Polyfill for old browsers -->
    <script src="https://www.polymer-project.org/platform.js"></script>
    <!-- Release candidate of next React -->
    <script src="http://fb.me/react-with-addons-0.12.0-rc1.js"></script>
    <script src="http://fb.me/JSXTransformer-0.12.0-rc1.js"></script>

    <!-- Import a web component -->

## gist:982bce14f7ecbceba967
var Summary1 = React.createClass({
  render: function(() {
    var cards = this.props.cards

    return (
      <div>
        <Notification />
        <div>
          cards.map(function(card, i) {
            return <Card key={'key' + i} data={card}>
	from scipy import sparse


	class Proposition:
	def __init__(self, title):
	self.title = title
	self.votes = {}
	self.delegations = {}

	def vote(self, user, vote):
	import tensorflow as tf


	def example():
	leafs = tf.contrib.lookup.index_table_from_file(
	vocabulary_file='leafs.txt')
	parents = tf.contrib.lookup.index_table_from_file(
	vocabulary_file='parents.txt')
	leafs2parents = tf.contrib.lookup.index_to_string_table_from_file(
	vocabulary_file='leaf2parents.txt')
	import React, {Component, PropTypes} from 'react';
	import {Tabs, Tab} from 'material-ui/Tabs';

	class MyAwesomeTabTemplate extends Component {
	static propTypes = {
	children: PropTypes.node,
	selected: PropTypes.bool,
	};

	render() {
	'use strict';

	let firebase = require('firebase');
	let fs = require('fs');
	let spawn = require('child_process').spawn;
	let throttle = require('lodash.throttle');
	let request = require('superagent');
	let AWS = require('aws-sdk');

	let ref = new Firebase('https://neural.firebaseio.com/');
	import Firebase from 'firebase';

	const firebaseUrl = 'https://spatially.firebaseio.com/clients';
	const timeOffsetUrl = 'https://spatially.firebaseio.com/.info/serverTimeOffset';
	let ref = new Firebase(firebaseUrl);
	let timeRef = new Firebase(timeOffsetUrl);
	let cachedUid;

	export default ({dispatch, getState}) => next => action => {
	// The first action rehydrates, so now we've probably got the uid now
	// known mcc/mnc values for our sim card (this is Telenor Norway)
	var mcc = 242;
	var mnc = 01;

	// First get the sim card number (API supports multi sim phones)
	var simNum = Array.slice(window.navigator.mozMobileConnections)
	.reduce(function(current, connection, i) {
	if (connection && connection.data && connection.data.network) {
	// For ONCE we're actually using type coercion as it's meant here!
	if (connection.data.network.mcc == mcc &&
	function gameoflife(matrix) {
	var population = [];
	for (var i = 0; i < matrix.length; i++) {
	population[i] = [];
	for (var j = 0; j < matrix[0].length; j++)
	population[i][j] = 0;
	}

	matrix.forEach(function(row, i) {
	row.forEach(function(col, j) {
	<!doctype html>
	<html>
	<head>
	<!-- Web Component Polyfill for old browsers -->
	<script src="https://www.polymer-project.org/platform.js"></script>
	<!-- Release candidate of next React -->
	<script src="http://fb.me/react-with-addons-0.12.0-rc1.js"></script>
	<script src="http://fb.me/JSXTransformer-0.12.0-rc1.js"></script>

	<!-- Import a web component -->
	var Summary1 = React.createClass({
	render: function(() {
	var cards = this.props.cards

	return (
	<div>
	<Notification />
	<div>
	cards.map(function(card, i) {
	return <Card key={'key' + i} data={card}>