Philippe Desjardins-Proulx PhDP

How to setup llvm and clang for eclipse

This guide is many years old is most likely outdated. I'll keep it here for reference; use at your own risk.

Tested on Mac OSX 10.6.7 with LLVM and CLANG version 2.9 Eclipse Helios Service Release 1 (Build 20100917-0705)

	(ns type-level-tagger
	{:doc "Implements State-of-the-art Unsupervised Part-of-speech Tagger
	from \"Simple Type-Level Unsuperivsed POS Tagging\"
	by Yoong-Keok Lee, Aria Haghighi and Regina Barzilay
	(http://www.cs.berkeley.edu/~aria42/pubs/typetagging.pdf)
	blog post: http://wp.me/pcW6S-x"
	:author "Aria Haghighi ([email protected])"}
	(:use [clojure.java.io :only [reader]]
	[clojure.contrib.duck-streams :only [with-out-writer]]
	[clojure.contrib.seq-utils :only [indexed]]

	(use '[clojure.core.match :only [match]])

	(defn evaluate [env [sym x y]]
	(match [sym]
	['Number] x
	['Add] (+ (evaluate env x) (evaluate env y))
	['Multiply] (* (evaluate env x) (evaluate env y))
	['Variable] (env x)))

	(def environment {"a" 3, "b" 4, "c" 5})

	## PyLogis

	import numpy as np
	import scipy as sp
	import matplotlib.pyplot as plt

	# Param orders: r, K

	def logis(x, y, p):
	est = []


	[ec2-user@ip-10-33-4-246 grub]$ lspci
	00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] (rev 02)
	00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
	00:01.1 IDE interface: Intel Corporation 82371SB PIIX3 IDE [Natoma/Triton II]
	00:01.3 Bridge: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 01)
	00:02.0 VGA compatible controller: Cirrus Logic GD 5446
	00:03.0 3D controller: nVidia Corporation GF100 [Tesla S2050] (rev a3)
	00:04.0 3D controller: nVidia Corporation GF100 [Tesla S2050] (rev a3)
	00:05.0 Unassigned class [ff80]: XenSource, Inc. Xen Platform Device (rev 01)

	# Functions to generate networks ("graphs") for spatial ecology.
	#
	# Stores the graph in a rather inefficient (but easy-to-use) adjacency matrix
	# of boolean values.
	#
	# Key functions:
	# - geograph returns a random geometric graph.
	# - cgeograph returns a connected random geometric graph.
	# - geotree returns a random geometric tree.
	#

	// This F# dojo is directly inspired by the
	// Digit Recognizer competition from Kaggle.com:
	// http://www.kaggle.com/c/digit-recognizer
	// The datasets below are simply shorter versions of
	// the training dataset from Kaggle.

	// The goal of the dojo will be to
	// create a classifier that uses training data
	// to recognize hand-written digits, and
	// evaluate the quality of our classifier

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
	<meta charset="utf-8">
	<title>Scriptoria -- a database of scientific documents written with distributed revision control systems.</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<meta name="description" content="">
	<meta name="author" content="">

	/**
	* Computes the measure of an English word as defined for the Porter algorithm.
	* The definition of the measure can be found here:
	* http://snowball.tartarus.org/algorithms/porter/stemmer.html
	*
	* ...but it's overtly complicated. Here's my definition:
	*
	* The measure of a word is the number of vowels followed by a consonant.
	*
	* Examples: