Michael Malone mmalone

This simple line chart is constructed from a TSV file storing the closing value of AAPL stock over the last few years. The chart employs conventional margins and a number of D3 features:

d3.tsv - load and parse data
d3.time.format - parse dates
d3.time.scale - x-position encoding
d3.scale.linear - y-position encoding
d3.extent - compute domains
d3.svg.axis - display axes
d3.svg.line - display line shape

	ARG FUNCTION_RUNTIME

	FROM mikesir87/aws-cli as code

	ARG FUNCTION_NAME
	ARG AWS_DEFAULT_REGION
	ARG AWS_ACCESS_KEY_ID
	ARG AWS_SECRET_ACCESS_KEY

	RUN wget -O function.zip `aws lambda get-function --function-name $FUNCTION_NAME --query 'Code.Location' --output text`

	# Create a root certificate and signing key.
	$ step certificate create "Root CA" root.crt root.key --profile root-ca
	Please enter the password to encrypt the private key:
	Your certificate has been saved in root.crt.
	Your private key has been saved in root.key.

	# Create an intermediate certificate & signing key. This isn't
	# required; we could use the root to sign directly which is
	# probably fine for local dev and removes the need to bundle later.
	$ step certificate create "Intermediate CA" int.crt int.key --profile intermediate-ca --ca root.crt --ca-key root.key

	def diskstats():
	file_path = '/proc/diskstats'

	# http://lxr.osuosl.org/source/Documentation/iostats.txt
	columns_disk = ['major_dev_num', 'minor_dev_num', 'device', 'reads', 'reads_merged', 'sectors_read', 'ms_reading', 'writes', 'writes_merged', 'sectors_written', 'ms_writing', 'current_ios', 'ms_doing_io', 'weighted_ms_doing_io']
	columns_partition = ['major_dev_num', 'minor_dev_num', 'device', 'reads', 'sectors_read', 'writes', 'sectors_written']

	result = {}
	for line in (l for l in open(file_path, 'r').xreadlines() if l != ''):
	parts = line.split()

	>>> x = 'abcdefghijklmnopqrstuvwyz1234567890'
	>>> for i in xrange(len(x) + 1):
	... y = (x[:i] + 'x' * len(x))[:len(x)]
	... print timeit.Timer('x == y', 'from __main__ import x, y').timeit()
	...
	0.0604889392853
	0.0732460021973
	0.069344997406
	0.0671350955963
	0.0664479732513

	# Requires apachelog from http://code.google.com/p/apachelog/source/browse/trunk/apachelog.py

	import sys, time, re
	from collections import defaultdict
	from threading import Timer

	import apachelog


	class Parser(apachelog.parser):

	import math
	import random


	class Statistic(object):
	"""
	Hookin' it up with the seven descriptive statistics.
	"""

	def __init__(self, sample):

	class Outer {
	public Outer() {
	}

	public class Inner {
	public Inner() {
	}

	public void doit() {
	System.out.println("Sup.");

	import random
	import itertools


	def find_collision(rng):
	d = {}
	for iteration in itertools.count():
	nonce = rng()
	if nonce in d:
	return iteration