gdamjan

import aiohttp
import asyncio

async def get_body(url):
    response = await aiohttp.request('GET', url)
    raw_html = await response.read()
    return raw_html

async def main():
    # run them sequentially (but the loop can do other stuff in the meanwhile)

afolarin

#Container Resource Allocation Options in docker-run

now see: https://docs.docker.com/engine/reference/run/#runtime-constraints-on-resources

You have various options for controlling resources (cpu, memory, disk) in docker. These are principally via the docker-run command options.

##Dynamic CPU Allocation -c, --cpu-shares=0
CPU shares (relative weight, specify some numeric value which is used to allocate relative cpu share)

meatcar

What is Avro?

Parsing the ga4gh API requires you first to understand what is Avro.

Avro is a project that allows you to

• formaly declare and define data structures (schemas in Avro) to be later used in different languages.
• store data in a file
• fetch data from a file

nfarrar

#!/usr/bin/env python

import argparse
import logging
import logging.handlers

parser = argparse.ArgumentParser(__file__,
                                 description="A syslog message generator")

parser.add_argument("--address",

dstaley

func partition<C: Comparable>(v: C[], left: Int, right: Int) -> Int {
    var i = left
    for j in (left + 1)..(right + 1) {
        if v[j] < v[left] {
            i++
            (v[i], v[j]) = (v[j], v[i])
        }
    }
    (v[i], v[left]) = (v[left], v[i])
    return i

fjcaetano

var randomNumbers = [42, 12, 88, 62, 63, 56, 1, 77, 88, 97, 97, 20, 45, 91, 62, 2, 15, 31, 59, 5]

func partition(v: Int[], left: Int, right: Int) -> Int {
    var i = left
    for j in (left + 1)..(right + 1) {
        if v[j] < v[left] {
            i += 1
            (v[i], v[j]) = (v[j], v[i])
        }
    }

brenopolanski

A simple Ghostscript command to merge two PDFs in a single file is shown below:

gs -dNOPAUSE -sDEVICE=pdfwrite -sOUTPUTFILE=combine.pdf -dBATCH 1.pdf 2.pdf

Install Ghostscript:

Type the command sudo apt-get install ghostscript to download and install the ghostscript package and all of the packages it depends on.

jkreps

Producer

Setup
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test-rep-one --partitions 6 --replication-factor 1
bin/kafka-topics.sh --zookeeper esv4-hcl197.grid.linkedin.com:2181 --create --topic test --partitions 6 --replication-factor 3

Single thread, no replication

bin/kafka-run-class.sh org.apache.kafka.clients.tools.ProducerPerformance test7 50000000 100 -1 acks=1 bootstrap.servers=esv4-hcl198.grid.linkedin.com:9092 buffer.memory=67108864 batch.size=8196

asizer

This sample is based on Mike Bostock's Box Plots. The box.js file has been modified in a number of ways besides making the box plots horizontal: the transitions have been removed, the 1.5 iqr function is included as the default to compute the whisker length, data objects are attached to the whisker ends and outlier dots (instead of just the values), and there are transparent q1-q2 and q2-q3 boxes that contain those respective data points for possible future use.

Hovering over outlier dots in the boxplot highlights them on the table and vice-versa. This also demonstrates a move-to-front functionality -- when an outlier circle is highlighted, it is moved to the end of the svg's elements so that it appears on top of the other outliers.

Also, the axis rounds its range to intervals that go into a power of 10 (see the cleanUpChartRange function).

The variable being plotted is a generated logNoraml distribution, to demonstrate outliers more prominently (sometimes there are so many, the table gets cut

galdosd

public class EZMap<T> {
    public static void main(String[] args) {
            Map<String,Object> m = hashMap(
                    bob -> 5,
                    TheGimp -> 8,
                    incredibleKoolAid -> "James Taylor",
                    heyArnold -> new Date()
            );
            System.out.println(m);
    }