joelittlejohn

(def t
  "trie containing the 100,000 most common english words"
  (with-open [r (clojure.java.io/reader "/tmp/words-100000")]
    (reduce #(assoc-in %1 %2 (sorted-map \0 nil)) (sorted-map) (line-seq r))))

(defn search [p m]
  "return a sorted sequence of all words in the trie m that start with the given prefix p"
  (let [n (get-in m p)
        next (mapcat #(search (str p (key %)) m) (dissoc n \0))]
    (if (contains? n \0) (cons p next) next)))

jackschultz

import nltk
import requests

FREEBASE_API_KEY = ''

class FindNames(object):

  def __init__(self, text, freebase_api_key):
    self.text = text
    self.key = freebase_api_key

goldsmith

# set up flags for Numpy C extentions compiling
export CFLAGS="-arch i386 -arch x86_64"
export FFLAGS="-m32 -m64"
export LDFLAGS="-Wall -undefined dynamic_lookup -bundle -arch i386 -arch x86_64"
export CC=gcc-4.2
export CXX="g++ -arch i386 -arch x86_64"

pip install numpy
# success!

pauloalem

# -*- coding: utf-8
from time import sleep, time
from tornado.httpserver import HTTPServer
from tornado.ioloop import IOLoop
from tornado.web import Application, asynchronous, RequestHandler
from multiprocessing.pool import ThreadPool
from tornado import gen
 
 
pool = ThreadPool(10)

stuart11n

git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

jlecour

# encoding: UTF-8

require 'optparse'
require 'net/http'
require 'json'

def parse_options(argv)
  opts = {}

  @parser = OptionParser.new do |o|

aminamid

Location

./test.py ./static/index.html ./static/client.js

Usage

python ./test.py

sebmarkbage

Deprecating transferPropsTo

It's a common pattern in React to wrap a component in an abstraction. The outer component exposes a simple property to do something that might have more complex implementation details.

We used to have a helper function called transferPropsTo. We no longer support this method. Instead you're expected to use a generic object helper to merge props.

render() {
 return Component(Object.assign({}, this.props, { more: 'values' }));

sirpoot

'''
Copyright (c) <2012> Tarek Galal <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy of this 
software and associated documentation files (the "Software"), to deal in the Software 
without restriction, including without limitation the rights to use, copy, modify, 
merge, publish, distribute, sublicense, and/or sell copies of the Software, and to 
permit persons to whom the Software is furnished to do so, subject to the following 
conditions:

MichaelDrogalis

The Anatomy of an Onyx Program

In this tutorial, we'll take an in-depth view of what's happening when you execute a simple Onyx program. All of the code can be found in the Onyx Starter repository if you'd like to follow along. The code uses the development environment with HornetQ and ZooKeeper running in memory, so you don't need additional dependencies to run the example for yourself on your machine.

The Workflow

At the core of the program is the workflow - the flow of data that we ingest, apply transformations to, and send to an output for storage. In this program, we're going to ingest some sentences from an input source, split the sentence into individual words, play with capitalization, and add a suffix. Finally, we'll send the transformed data to an output source.

Let's examine the workflow pictorially: