jkpl

#!/bin/bash

dnf --refresh upgrade

dnf install --nogpgcheck \
    http://download1.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm \
    http://download1.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm

dnf --refresh groupinstall "Development Tools"
dnf install $(grep fedora_packages.txt -v -e '^#' -e '^$' | tr '\n' ' ')

jkpl

package dwgraphitedemo

import java.lang.management.ManagementFactory
import java.util.concurrent.TimeUnit

import com.codahale.metrics.graphite.{Graphite, GraphiteReporter}
import com.codahale.metrics.SharedMetricRegistries
import com.codahale.metrics.jvm._
import com.twitter.finagle.http.{Request, Response, Status}
import com.twitter.finagle.{Http, Service}

jkpl

Keybase proof

I hereby claim:

• I am jkpl on github.
• I am jkpl (https://keybase.io/jkpl) on keybase.
• I have a public key ASA3n-ICY3CrHvBEUoW3UG4vA3md_9RKyDFL3AT30KJAswo

To claim this, I am signing this object:

jkpl

// Free monad based thread simulation and FRP constructs written in JavaScript


// First, we need some way to express lazy values and actions.
// We can use zero-argument functions for this purpose: call the function and
// you get the value. We also need to compose lazy values/actions. For that
// we have bindLazy function. Lazy values are not expected to be pure
// in this program: evaluating a lazy value/action at different times can produce
// a different value.

jkpl

package collector

import akka.actor._
import akka.util.Timeout
import scala.concurrent.duration._
import scala.concurrent.{Future, Promise}

trait ResponseTracker[T] {
  def addResponse(response: T): ResponseTracker[T]
  def isDone: Boolean

jkpl

name = EAP-TTLS-PAP
author = jkpl
version = 1
require identity *Identity password *Password
optional ca_cert *Path_to_CA_cert anon_identity *Anonymous_Identity
protected password *Password
-----
ctrl_interface=/var/run/wpa_supplicant
network={
    ssid="$_ESSID"

jkpl

param (
    [Parameter(Mandatory=$false)]
    [switch]$Disable
)

$script:regKeyPath = "HKLM\SYSTEM\CurrentControlSet\Control\DeviceGuard\Scenarios\HypervisorEnforcedCodeIntegrity"

If ($Disable) {
    Write-Host "Disabling HyperV"
    bcdedit /set hypervisorlaunchtype off

jkpl

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE keyboard PUBLIC "" "file://localhost/System/Library/DTDs/KeyboardLayout.dtd">
<!--Last edited by Ukelele version 2.0.1 on 2010-08-26 at 17:40 (GMT+02:00)-->
<keyboard group="0" id="2" name="U.S. International w/o dead keys" maxout="1">
    <layouts>
        <layout first="0" last="17" modifiers="f4" mapSet="16c"/>
        <layout first="18" last="18" modifiers="f4" mapSet="994"/>
        <layout first="21" last="23" modifiers="f4" mapSet="994"/>
        <layout first="30" last="30" modifiers="f4" mapSet="994"/>
        <layout first="194" last="194" modifiers="f4" mapSet="994"/>

jkpl

#!/bin/sh
#
# This script deploys the given manifest,
# tracks the deployment, and rolls back on failure.
#
# First execute this with "myapp.yaml" and then try it with "myapp.failing.yaml"
#

MANIFEST_PATH=$1
DEPLOYMENT_NAME=myapp

jkpl

Enforcing invariants in Scala datatypes

Scala provides many tools to help us build programs with less runtime errors. Instead of relying on nulls, the recommended practice is to use the Option type. Instead of throwing exceptions, Try and Either types are used for representing potential error scenarios. What’s common with these features is that they’re used for capturing runtime features in the type system, thus lifting the runtime scenario handling to the compilation phase: your program doesn’t compile until you’ve explicitly handled nulls, exceptions, and other runtime features in your code.

In his “Strategic Scala Style” blog post series,