ebenolson

# Context manager to generate batches in the background via a process pool
# Usage:
#
# def batch(seed):
#    .... # generate minibatch
#    return minibatch
#
# with BatchGenCM(batch) as bg:
#    minibatch = next(bg)
#    .... # do something with minibatch

creationix

function run(generator) {
  // Pass in resume for no-wrap function calls
  var iterator = generator(resume);
  var data = null, yielded = false;
  
  next();
  check();
  
  function next(item) {
    var cont = iterator.next(item).value;

TomAugspurger

FrancescAlted

# Benchmark to compare the times for storing numpy arrays in a key-value.
# The main point is to compare numpy serialization vs a bcolz approach.

from __future__ import print_function

import sys
import os
import os.path
import subprocess
import getopt

paulusm

start on runlevel [2345]
stop on runlevel [016]
 
respawn
setuid <user>
chdir /home/<user>/ipython_notebooks
exec ipython notebook --pylab --profile=nbserver --ipython-dir=/home/<user>/.ipython  --log-level=DEBUG

buritica

<script>
  var namespace = 'onswipe';
  var message = JSON.stringify({
    view_url: '%%VIEW_URL_UNESC%%',
    click_url: '%%CLICK_URL_UNESC%%%%DEST_URL%%',
    cachebuster: '%%CACHEBUSTER%%',
    glossy_id: 'my_id',
    type: 'glossy',
    pixels: []
  });