Chaser324

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

cdepillabout

# This file is an example of overriding a GHC core Haskell library (like
# bytestring, containers, text, unix, etc) when building a Haskell package.

let default-nixpkgs =
      builtins.fetchTarball {
        # nixpkgs haskell-updates branch as of 2019/09/15.
        url = "https://github.com/NixOS/nixpkgs/archive/a51b3367ab6acc72630da0bad50ce14fa86996d0.tar.gz";
        sha256 = "05d3jxxk5dxzs9b3nan16lhkrjnzf0bjd4xy66az86fsafnrr9rd";
      };
in

taktoa

A Self-Taught Course in Automated Reasoning using Haskell

Variables, Terms, and Syntactic Unification

Resources

• [Introduction to Unification Theory Lecture 1][itut-1]
• Sections 8.1 and 8.2 of [The Handbook of Automated Reasoning][hoar]

Exercises

Gabriella439

import Numeric.Natural (Natural)

import qualified Data.Semigroup

-- | @fibonacci n@ computes the @nth@ fibonacci number efficiently using infinite
-- precision integer arithmetic
-- 
-- Try @fibonacci 1000000@
fibonacci :: Natural -> Natural
fibonacci n = x01 (Data.Semigroup.mtimesDefault n m)

Manouchehri

# Installing
qemu-system-x86_64 -bios /usr/share/ovmf/ovmf_x64.bin -enable-kvm -cpu host -smp 4 -m 2048 -cdrom ~/Downloads/Win10_English_x64.iso -net nic,model=virtio -net user -drive file=~/vm/win10.hd.img.raw,format=raw,if=virtio -vga qxl -drive file=~/Downloads/virtio-win-0.1.105.iso,index=1,media=cdrom

# Running
qemu-system-x86_64 -bios /usr/share/ovmf/ovmf_x64.bin -enable-kvm -cpu host -smp 4 -m 4096 -net nic,model=virtio -net user -drive file=~/vm/win10.hd.img.raw,format=raw,if=virtio -vga qxl -usbdevice tablet -rtc base=utc

masaeedu

#!/usr/bin/env bash
set -Eeuxo pipefail

# Set up git
git init
gitignore haskell
echo '*.cabal' >> .gitignore

# Set up niv
niv init

bitonic

{-# LANGUAGE StandaloneDeriving, FlexibleContexts, UndecidableInstances #-}
-- Laungh ghci with -fobject-code to make the Fix/Tree trick work (thanks edwardk).

-- courtesy of hpc on #haskell
import Unsafe.Coerce
import Control.Monad.ST

toInteger :: Int -> Integer
isJust :: Maybe a -> Bool
null :: [a] -> Bool

andrewthad

Discerning the Zookeeper Protocol

To write a zookeeper client, it is neccessary to understand the protocol used to communicate with it. Unfortunately, this protocol is not documented. In this example, we use tcpflow to dump both the read and write channel of the TCP connection that zkCli.sh uses to connect with the zookeeper server.

Requests

taktoa

I started writing this polemic to answer your question, but I ended up touching on most of my gripes with Haskell in general, not just in a corporate context.

GHC

GHC is a modern compiler with an amazing RTS and tons of features, but I have some issues with it.

Monolithic and Hard to Contribute To

mpickering

How to test your package with ghc-8.6.1

1. Setup the binary cache -

cachix use mpickering

For only GHC