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import kafka.server.KafkaConfig;
import kafka.server.KafkaServer;

import java.io.File;
import java.io.FileNotFoundException;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Properties;

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# first:
lsbom -f -l -s -pf /var/db/receipts/org.nodejs.pkg.bom | while read f; do  sudo rm /usr/local/${f}; done
sudo rm -rf /usr/local/lib/node /usr/local/lib/node_modules /var/db/receipts/org.nodejs.*

# To recap, the best way (I've found) to completely uninstall node + npm is to do the following:

# go to /usr/local/lib and delete any node and node_modules
cd /usr/local/lib
sudo rm -rf node*

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Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

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package se.kth.edx.id2203.core

import java.net.{ InetAddress, InetSocketAddress }

import se.kth.edx.id2203.core.ExercisePrimitives.PerfectP2PLink._
import se.kth.edx.id2203.core.Ports._
import se.sics.kompics.{ Init, KompicsEvent }
import se.sics.kompics.network.{ Address, Network, Transport }
import se.sics.kompics.sl.{ ComponentDefinition, _ }

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Technical details for https://stackoverflow.com/a/44169445/6730571

Details of investigation:

On a base system, /usr/bin/java is a symlink that points to /System/Library/Frameworks/JavaVM.framework/Versions/Current/Commands/java, which is an Apple wrapper tool that locates and executes the actual java.

(Do not touch anything in those 2 system directories. It should actually be impossible due to "System Integrity Protection" anyway.)

If you don't have Java installed, attempting to execute java will open a dialog that invites you to install it.

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# /usr/libexec/java_home -X
$ sudo opensnoop -n java_home
  UID    PID COMM          FD PATH
  501  79809 java_home      3 /System/Library/PrivateFrameworks/JavaLaunching.framework/Versions/A/JavaLaunching
  501  79809 java_home      3 /dev/dtracehelper
  501  79809 java_home      4 /System/Library/CoreServices/SystemVersion.bundle//English.lproj
  501  79809 java_home     -1 /System/Library/CoreServices/SystemVersion.bundle//Base.lproj
  501  79809 java_home      4 /System/Library/CoreServices/SystemVersion.bundle/English.lproj/SystemVersion.strings
  501  79809 java_home     -1 /System/Library/CoreServices/SystemVersion.bundle/English.lproj/SystemVersion.stringsdict
  501  79809 java_home      3 /usr/share/icu/icudt51l.dat

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package controllers.staticAssets

import play.api.http.HeaderNames
import play.api.mvc.{Action, Request, Result}

import scala.concurrent.Future

case class AddNoCacheHeaders[A](action: Action[A]) extends Action[A] with HeaderNames {
  def apply(request: Request[A]): Future[Result] = {
    import scala.concurrent.ExecutionContext.Implicits.global

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package controllers

import java.io.File
import javax.inject.Inject

import play.api.Logger
import play.Environment
import play.api.mvc.{Action, AnyContent}
import play.mvc.Controller

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Applied Functional Programming with Scala - Notes

Copyright © 2016-2018 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

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Thread Pools

Thread pools on the JVM should usually be divided into the following three categories:

1. CPU-bound
2. Blocking IO
3. Non-blocking IO polling

Each of these categories has a different optimal configuration and usage pattern.