dan mackinlay danmackinlay

## peakdetect.py
import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

## mysql2sqlite.sh
#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite

## long_exposure.py
import os
import tempfile
import subprocess
import skimage
from skimage import exposure
import skimage.io as io
import argparse
import shutil
import numpy as np

## serialization.R
library(rhdf5)

load.sparse.hdf = function (filename, path) {
  idx = as.vector(h5read(filename, paste(path, "v_indices", sep="/")))
  idxptr = as.vector(h5read(filename, paste(path, "v_indptr", sep="/")))
  vals = as.vector(h5read(filename, paste(path, "v_data", sep="/")))
  dims = as.vector(h5read(filename, paste(path, "v_datadims", sep="/")))
  col.names = h5read(filename, paste(path, "v_col_names", sep="/"))

  data = sparseMatrix(

## prowl_monitor.py
#!/usr/bin/env python
"""
load-monitoring script that pushes notifications to growl when something goes wrong

requires jacobb's prowlpy http://github.com/jacobb/prowlpy/tree/master - and a prowl
account (http://prowl.weks.net/)

this version, with a "panic" function, is untested.
"""

## lock.py
"""
various ways of acquiring cross-process locks on a string including a django one
http://www.evanfosmark.com/2009/01/cross-platform-file-locking-support-in-python/

needs test coverage, but won't get it here since I've just removed it from the project.

`with` statement requires python 2.5 or later; these may work as non-with statement doohickeys
django locks require version 1.0 or later to get the "force_insert" argument
"""

## mysql_logger.lua
local log_file = 'mysql.log'
local fh = io.open(log_file, "a+")

function read_query( packet )
  if string.byte(packet) == proxy.COM_QUERY then
    local query = string.sub(packet, 2)
    local q = query
    local cutoff = 160
    if cutoff < #query then
            q = query:sub(1, cutoff) .. "..."

## supervisord.ini
[program:queuewalker]
command = /project_path/manage.py process_queue
redirect_stderr = true
user=www-data
umask=002

[supervisord]
logfile = /var/log/supervisord.log
logfile_maxbytes = 50MB
logfile_backups=10

## friendfeed_private_syndicator.py
# −*− coding: UTF−8 −*−
"""
quick/dirty private feed exposer
http://friendfeed.com/api/documentation
http://www.dalkescientific.com/Python/PyRSS2Gen.html
http://code.google.com/p/httplib2/
http://labix.org/python-dateutil
"""
import settings
from settings import FF_BASE_URL, FF_API_BASE_URL, FF_REMOTE_KEY, FF_FEED, FF_NICKNAME, FF_CONSUMER_SECRET, OUTPUT_CACHE_DIR, INPUT_CACHE_DIR

## index.html
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
   "http://www.w3.org/TR/html4/loose.dtd">
<html>
  <head>
    <title>NetCultures blog test</title>
    <style type="text/css" media="screen">
      #header h1 {
        color: pink;
      }
      #header {
	import numpy as np
	from math import pi, log
	import pylab
	from scipy import fft, ifft
	from scipy.optimize import curve_fit

	i = 10000
	x = np.linspace(0, 3.5 * pi, i)
	y = (0.3np.sin(x) + np.sin(1.3 x) + 0.9 * np.sin(4.2 * x) + 0.06 *
	np.random.randn(i))
	#!/bin/sh

	# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
	# CREATE block and create them in separate commands _after_ all the INSERTs.

	# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
	# The mysqldump file is traversed only once.

	# Usage: $ ./mysql2sqlite mysqldump-opts db-name \| sqlite3 database.sqlite
	# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase \| sqlite3 database.sqlite
	import os
	import tempfile
	import subprocess
	import skimage
	from skimage import exposure
	import skimage.io as io
	import argparse
	import shutil
	import numpy as np
	library(rhdf5)

	load.sparse.hdf = function (filename, path) {
	idx = as.vector(h5read(filename, paste(path, "v_indices", sep="/")))
	idxptr = as.vector(h5read(filename, paste(path, "v_indptr", sep="/")))
	vals = as.vector(h5read(filename, paste(path, "v_data", sep="/")))
	dims = as.vector(h5read(filename, paste(path, "v_datadims", sep="/")))
	col.names = h5read(filename, paste(path, "v_col_names", sep="/"))

	data = sparseMatrix(
	#!/usr/bin/env python
	"""
	load-monitoring script that pushes notifications to growl when something goes wrong

	requires jacobb's prowlpy http://github.com/jacobb/prowlpy/tree/master - and a prowl
	account (http://prowl.weks.net/)

	this version, with a "panic" function, is untested.
	"""
	"""
	various ways of acquiring cross-process locks on a string including a django one
	http://www.evanfosmark.com/2009/01/cross-platform-file-locking-support-in-python/

	needs test coverage, but won't get it here since I've just removed it from the project.

	`with` statement requires python 2.5 or later; these may work as non-with statement doohickeys
	django locks require version 1.0 or later to get the "force_insert" argument
	"""
	local log_file = 'mysql.log'
	local fh = io.open(log_file, "a+")

	function read_query( packet )
	if string.byte(packet) == proxy.COM_QUERY then
	local query = string.sub(packet, 2)
	local q = query
	local cutoff = 160
	if cutoff < #query then
	q = query:sub(1, cutoff) .. "..."
	[program:queuewalker]
	command = /project_path/manage.py process_queue
	redirect_stderr = true
	user=www-data
	umask=002

	[supervisord]
	logfile = /var/log/supervisord.log
	logfile_maxbytes = 50MB
	logfile_backups=10
	# −− coding: UTF−8 −−
	"""
	quick/dirty private feed exposer
	http://friendfeed.com/api/documentation
	http://www.dalkescientific.com/Python/PyRSS2Gen.html
	http://code.google.com/p/httplib2/
	http://labix.org/python-dateutil
	"""
	import settings
	from settings import FF_BASE_URL, FF_API_BASE_URL, FF_REMOTE_KEY, FF_FEED, FF_NICKNAME, FF_CONSUMER_SECRET, OUTPUT_CACHE_DIR, INPUT_CACHE_DIR
	<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"
	"http://www.w3.org/TR/html4/loose.dtd">
	<html>
	<head>
	<title>NetCultures blog test</title>
	<style type="text/css" media="screen">
	#header h1 {
	color: pink;
	}
	#header {