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1. Copying Files

---
- hosts: win

  tasks:
  - name: Copy File
    win_copy:
      src: C:\output.pdf

Complete Genshin Impact Discord Quest:

First way which will work for any Quests not just Genshin, though it needs some knowledge 🤓:

Accept the quest under User Settings -> Gift Inventory.
Join a vc to your alt or your friend.
Stream any window
Press Ctrl + Shift + I to open DevTools
Go to the Console tab
Paste this code and press enter:

Simple Canvas Pan And Zoom

I needed a simple way to implement dragging and scroll wheel zooming on an HTML canvas, but I couldn't find a pure JS example. The most popular one uses an SVG node to convert coordinates, but I didn't like that so I created my own version.

Try it here: https://jsfiddle.net/balazsbotond/6n2uzjkq/30/

	#!/bin/bash
	set -e

	s3_key=$BACKUP_S3_KEY
	s3_secret=$BACKUP_S3_SECRET
	bucket=$BACKUP_S3_BUCKET
	backup_db_passphrase=$BACKUP_S3_DB_PASSPHRASE
	data_directory=$SQLITE_DATABASE_DIRECTORY
	# ensure each backup has the same date key
	date_key=$(date '+%Y-%m-%d-%H-%M-%S')

	# This is Python port of this Javascript method:
	# https://github.com/notslang/instagram-id-to-url-segment/blob/master/lib/index.coffee

	url = "https://www.instagram.com/p/B8iwlG9pXHI/"
	# ----> use regexp to extract code from url
	code = "B8iwlG9pXHI"

	charmap = {
	'A': '0',
	'B': '1',

	shader_type spatial;

	render_mode unshaded;

	void vertex() {
	POSITION = vec4(VERTEX, 1.0);
	}

	uniform sampler2D BackBufferTex : hint_screen_texture, repeat_disable, filter_nearest;
	uniform sampler2D DepthBufferTex : source_color, hint_depth_texture, filter_nearest;

	"""
	stable diffusion dreaming
	creates hypnotic moving videos by smoothly walking randomly through the sample space

	example way to run this script:

	$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

	to stitch together the images, e.g.:
	$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

	wget -nv https://packages.microsoft.com/config/ubuntu/16.04/packages-microsoft-prod.deb
	sudo dpkg -i packages-microsoft-prod.deb
	sudo apt-get install apt-transport-https
	sudo apt install snapd
	sudo service snapd start
	sudo snap install dotnet-sdk --classic
	sudo apt-get install mono-complete

	Latency Comparison Numbers (~2012)
	----------------------------------
	L1 cache reference 0.5 ns
	Branch mispredict 5 ns
	L2 cache reference 7 ns 14x L1 cache
	Mutex lock/unlock 25 ns
	Main memory reference 100 ns 20x L2 cache, 200x L1 cache
	Compress 1K bytes with Zippy 3,000 ns 3 us
	Send 1K bytes over 1 Gbps network 10,000 ns 10 us
	Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD

	## AWS
	# from http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html#instancedata-data-categories

	http://169.254.169.254/latest/user-data
	http://169.254.169.254/latest/user-data/iam/security-credentials/[ROLE NAME]
	http://169.254.169.254/latest/meta-data/iam/security-credentials/[ROLE NAME]
	http://169.254.169.254/latest/meta-data/ami-id
	http://169.254.169.254/latest/meta-data/reservation-id
	http://169.254.169.254/latest/meta-data/hostname
	http://169.254.169.254/latest/meta-data/public-keys/0/openssh-key