davidbau

 from collections import defaultdict
 from importlib import import_module
 
 def autoimport_eval(term):
    '''
    Used to eval any expression containing fully-qualified names, such as
    'torchvision.models.alexnet(pretrained=True)' with automatic import of
    global module names.
    '''

davidbau

#!/usr/bin/env python2.7

# Script to create simple flat pytorch ImageFolder folder hierarchy
# of training and validation images for miniplaces.  Each category
# name is just a folder name (numbered in alphabetical order as in
# the original miniplaces), and both train and val images are places
# directly inside a single level of folders with the flat cateogry names.

import shutil, os, tarfile

davidbau

license: mit

davidbau

var Parser = require('parse5').Parser;

//Instantiate parser
var parser = new Parser(null, {locationInfo: true});

//Then feed it with an HTML document
var d = parser.parseFragment('<p>hello<p>hello')

var info = ['<pre>', 'fragment has ' + d.childNodes.length + ' top-level nodes'];
for (var j = 0; j < d.childNodes.length; ++j) {

davidbau

// require() some stuff from npm (like you were using browserify)
// and then hit Run Code to run it on the right
var $ = require('jquery');
var seedrandom = require('seedrandom');
var rng = seedrandom.xor4096('hello.');
for (var j = 0; j < 20; ++j) {
	$('body').append('<p>' + rng() + '</p>');
}

davidbau

// require() some stuff from npm (like you were using browserify)
// and then hit Run Code to run it on the right
var seedrandom = require('seedrandom');
var rng = seedrandom.xor4096('hello.');
console.log(rng());