willbailey

###
CoffeeScript port of http://processing.org/learning/topics/flocking.html
###

window.FlockingSketch = class FlockingSketch 
  # setup the environment and start the draw loop
  constructor: ->
    @setup()
    @draw()

bwhite

"""Information Retrieval metrics

Useful Resources:
http://www.cs.utexas.edu/~mooney/ir-course/slides/Evaluation.ppt
http://www.nii.ac.jp/TechReports/05-014E.pdf
http://www.stanford.edu/class/cs276/handouts/EvaluationNew-handout-6-per.pdf
http://hal.archives-ouvertes.fr/docs/00/72/67/60/PDF/07-busa-fekete.pdf
Learning to Rank for Information Retrieval (Tie-Yan Liu)
"""
import numpy as np

andkerosine

$stack, $draws = [], {}

def method_missing *args
  return if args[0][/^to_/]
  $stack << args.map { |a| a or $stack.pop }
  $draws[$stack.pop(2)[0][0]] = args[1] if args[0] == :<
end

class Array
  def +@

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = [email protected]:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

jbochi

Área de Matemática

Álgebra Linear

Sistemas de Equações Lineares: método de eliminação de Gauss para sistemas lineares. Espaços vetoriais. Subespaços. Bases.

jhulten

(ns statsd-clj.server
  (:use [aleph.udp]
        [gloss core io]
        [lamina core api])
  (:require [statsd-clj.config :as config]
            [statsd-clj.metrics :as metrics]
            [clojure.tools.logging :as log]))

(def socket-server (agent nil))

jbochi-4clojure-solution100.clj

;; jbochi's solution to Least Common Multiple
;; https://4clojure.com/problem/100

(fn [& s]
(reduce
  (fn lcm [a b] (/
    (* a b)
    ((fn gcd [a b]
      (if (= b 0)
        a

jbochi-4clojure-solution66.clj

;; jbochi's solution to Greatest Common Divisor
;; https://4clojure.com/problem/66

(fn gcd [a, b]
  (if (= b 0)
    a
    (gcd b (mod a b))
  ))

hrldcpr

One-line Tree in Python

Using Python's built-in defaultdict we can easily define a tree data structure:

def tree(): return defaultdict(tree)

That's it!

lamnk

#!/bin/bash

# For CentOs 5.7

ln -s /lib/libssl.so.0.9.8e /lib/libssl.so.0.9.8
ln -s /lib64/libssl.so.0.9.8e /lib64/libssl.so.0.9.8
ln -s /lib/libcrypto.so.0.9.8e /lib/libcrypto.so.0.9.8
ln -s /lib64/libcrypto.so.0.9.8e /lib64/libcrypto.so.0.9.8
ln -s /lib/libexpat.so.0 /lib/libexpat.so.1
ln -s /lib64/libexpat.so.0 /lib64/libexpat.so.1