HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

threepointone

import React from 'react'
import { render } from 'react-dom'

// with fiber, we'll be able to write components that update text deep 
// inside another string without wrapper dom, or rerendering the whole component 

// before
class Lorem extends React.Component {
  state = {
    str: ''

Gethyl

//compose from redux/compose.js
 function compose(...funcs) {
	console.info("$$$ compose function ")
  console.dir( funcs)
  if (funcs.length === 0) {
    return arg => arg
  }

  if (funcs.length === 1) {
    return funcs[0]

threepointone

// inifinite scrolling of content without extra wrappers 
const { render, findDOMNode  } = ReactDOMFiber

class App extends React.Component {
  render() {
  // wrap the root element with an Intersection Observer, exposing .observe for children
    return <Intersection>
      <div style={{ height: 200, overflow: 'auto' }}>
        <Page offset={0} count={10} />
      </div>

IbeVanmeenen

// Epochs
const epochs = [
    ['year', 31536000],
    ['month', 2592000],
    ['day', 86400],
    ['hour', 3600],
    ['minute', 60],
    ['second', 1]
];

Aldredcz

Usable mainly when reducer is more like assembler for your data store changes, and main logic is put into action. So you often need to dispatch multiple smaller action, but to keep it atomic, they have to be processed in a single reduce step. This is the solution. The bonus is, it works well with devTools also.

Sourcecode:

multipleActionEnhancer.js:

export function multipleActionsEnhanceReducer(reducer) {
	return (state, action, ...rest) => {
		if (action.actions && action.actions.type && action.actions instanceof Array) {
			state = action.actions.reduce(reducer, state);
		} else {

mhart

var spawn = require('child_process').spawn;
var csp = require('js-csp');

class Math {
  constructor(readyCallback) {
    this._readyCallback = readyCallback;
    this._worker = spawn('6to5-node', ['worker.js']);
    this._worker.stderr.pipe(process.stderr);

    this._reqChan = csp.chan();

hofmannsven

Git

Global Settings

• Related Setup: https://gist.github.com/hofmannsven/6814278
• Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/
• Interactive Beginners Tutorial: http://try.github.io/
• Git Cheatsheet by GitHub: https://services.github.com/on-demand/downloads/github-git-cheat-sheet/

Reminder

Press minus + shift + s and return to chop/fold long lines!

jeffgolenski

/* =========================================================
Comments
 ========================================================= */

 ol.commentlist {

     list-style:none; 
     margin:0 0 1em; 
     padding:0; 
     text-indent:0;

awidegreen

Introduction

• C-a == Ctrl-a
• M-a == Alt-a

General

:q        close
:w        write/saves
:wa[!]    write/save all windows [force]
:wq       write/save and close