mmalone

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()

mmalone

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`

mmalone

/**
 * Reads from the
 * stream <code>in</code> a representation
 * of a Unicode  character string encoded in
 * <a href="DataInput.html#modified-utf-8">modified UTF-8</a> format;
 * this string of characters is then returned as a <code>String</code>.
 * The details of the modified UTF-8 representation
 * are  exactly the same as for the <code>readUTF</code>
 * method of <code>DataInput</code>.
 *

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

mmalone

>>> 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

mmalone

import math
import random


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

    def __init__(self, sample):

mmalone

class Outer {
    public Outer() {
    }   

    public class Inner {
        public Inner() {
        }   

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

mmalone

import random
import itertools


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

mmalone

"""
Some simple utilities to read the magic bytes from the beginning of a 
file and determine whether the file meets certain criteria (e.g., contains
JPEG image data).
"""

import array
from operator import eq

IMAGE_MAGIC_DATA = (

mmalone

import datetime
from django.db import models

class Frob(models.Model):
    name = models.CharField(max_length=255)
    created = models.DateTimeField(default=datetime.datetime.now)


class Fritz(models.Model):
    age = models.IntegerField(default=5)