thpham

title	author	date	source	notoc
LDAP Search Filter Cheatsheet	Jon LaBelle	January 4, 2021	https://jonlabelle.com/snippets/view/markdown/ldap-search-filter-cheatsheet	true

LDAP Search Filter Cheatsheet

thpham

[alias]
	tracking = "!f() { git for-each-ref --format '%(refname:short):%(upstream:short)' 'refs/heads' | egrep -v ':$'; }; f"
	is-clean-workdir = "!f() { git diff --stat --exit-code || { echo \"Workdir dirty\"; exit 1; }; }; f"
	is-clean-index = "!f() { git diff --stat --cached --exit-code || { echo \"Index dirty\"; exit 2; }; }; f"
	is-clean = "!f() { git is-clean-workdir && git is-clean-index; }; f"
	co-merge = "!f() { local=\"$1\"; remote=\"$2\"; git checkout \"$local\"; git merge --ff-only \"$remote\"; }; f"
	current-branch = rev-parse --abbrev-ref HEAD
	sync = "!f() { git is-clean || { echo Aborting sync.; exit 1; }; current=$(git current-branch); git fetch --all; git tracking | while IFS=: read local remote; do echo \"Merging $local with $remote\"; git co-merge \"$local\" \"$remote\"; done 3>&1 1>&2 2>&3 | egrep -i --color 'fatal|$' 3>&1 1>&2 2>&3; git checkout \"$current\"; }; f"

thpham

{
  description = "llama.cpp running vicuna";

  inputs = {
    llama.url = "github:ggerganov/llama.cpp/aaf3b23debc1fe1a06733c8c6468fb84233cc44f";
    flake-utils.url = "github:numtide/flake-utils/033b9f258ca96a10e543d4442071f614dc3f8412";
    nixpkgs.url = "github:NixOS/nixpkgs/d9f759f2ea8d265d974a6e1259bd510ac5844c5d";
  };  

  outputs = { self, flake-utils, llama, nixpkgs }: 

thpham

Running Ubuntu 21.04 on QEMU MicroVM

I mean, in this era of containers, it's not like you'd need this very often, but if you do, you do.

1. Download the required image files

https://cloud-images.ubuntu.com/releases/hirsute/release/unpacked/ubuntu-21.04-server-cloudimg-amd64-vmlinuz-generic https://cloud-images.ubuntu.com/releases/hirsute/release/unpacked/ubuntu-21.04-server-cloudimg-amd64-initrd-generic https://cloud-images.ubuntu.com/releases/hirsute/release/ubuntu-21.04-server-cloudimg-amd64-disk-kvm.img

thpham

Electron apps

• Marp: Markdown presentation ecosystem.

• muryoimpl/slippr: markdown presentation app by Electron

• joe-re/cafe-pitch Markdown-driven presentation tool built on Electron.

Slide deck frameworks supporting Markdown source

thpham

Lima (Linux virtual machines, on macOS) installation guide for M1 Mac.

Sep. 27th 2021 UPDATED

Now we can install patched version of QEMU via Homebrew (thank you everyone for the info!). Here is the updated instruction with it:

Used M1 Mac mini 2020 with macOS Big Sur Version 11.6.

1. Install QEMU & Lima

thpham

# Instructions for fresh install

$ sh <(curl -L https://nixos.org/nix/install) --darwin-use-unencrypted-nix-store-volume --daemon
# reboot
$ source /nix/var/nix/profiles/default/etc/profile.d/nix-daemon.sh
$ echo 'export NIX_PATH=darwin-config=$HOME/.nixpkgs/darwin-configuration.nix:$HOME/.nix-defexpr/channels${NIX_PATH:+:}$NIX_PATH' | tee -a ~/.zshrc
$ echo 'source $HOME/.nix-profile/etc/profile.d/hm-session-vars.sh' | tee -a ~/.zshrc
$ nix-channel --add https://nixos.org/channels/nixpkgs-unstable
$ nix-channel --add https://github.com/LnL7/nix-darwin/archive/master.tar.gz darwin
$ nix-channel --add https://github.com/nix-community/home-manager/archive/master.tar.gz home-manager

thpham

FWIW: I'm not the author of the content presented here (which is an outline from Edmond Lau's book). I've just copy-pasted it from somewhere over the Internet, but I cannot remember what exactly the original source is. I was also not able to find the author's name, so I cannot give him/her the proper credits.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

thpham

You need at least WeeChat 3.2-dev

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thpham

How to install Hadoop on your local Kubernetes cluster

Okey this is not the easiest way of running Hadoop on your local computer and probably you should instead just install it locally.

However if you really insist doing this here's how:

1. Install kubectl, minikube and Docker if you don't already have it. I recommend using package-manager like Chocolatey. Minikube should install with VirtualBox as default driver which I recommend. When starting minikube we should increase its memory limit since our Hadoop node's pods need at least 2GB: minikube --memory 4096 --cpus 2 start (minikube's default is 1GB). NOTE: actually the Hadoop cluster by default uses about 10GB in memory limits and about 3GB running memory. From what I looked my k8s will overprovision to 300% of its capacity limits but use far less.
2. Install helm. Then run helm init.
3. Now you