Discover gists

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

Windows command	Unix command	Notes
set	env	Set on Windows prints a list of all environment variables. For individual environment variables, set is the same as echo $ on Unix.
set Path	export $PATH	Print the value of the environment variable using set in Windows.
set PROJ	--	result: PROJ=c:\project
echo %PROJ%	echo $PROJ	result: c:\project

|

These instructions are based on this blogpost by Anton Semjonov and this video by Animortis Productions. Please follow the link if you want more details, they go into much more detail about each step, whereas this document is more focused on being a concise cheat sheet. Let's go.

Install base system

Boot the Ubuntu installation medium. When asked, choose the "Try Ubuntu" option and open a terminal.

Switch to root, otherwise you'll have to type sudo all the time:

sudo su -

	// Lines
	float hash( float n ) {
	return fract(sin(n)*753.5453123);
	}

	// Slight modification of iq's noise function.
	float noise(vector_float2 x )
	{
	vector_float2 p = floor(x);
	vector_float2 f = fract(x);

	# your link goes here
	link = "https://github.com/knightlab-analyses/qurro-mackerel-analysis/blob/master/AnalysisOutput/qurro-plot.qzv"

	# note: this will break if a repo/organization or subfolder is named "blob" -- would be ideal to use a fancy regex
	# to be more precise here
	print(link.replace("github.com", "raw.githubusercontent.com").replace("/blob/", "/"))

	# example output link:
	# https://raw.githubusercontent.com/knightlab-analyses/qurro-mackerel-analysis/master/AnalysisOutput/qurro-plot.qzv

	import React from 'react';
	import Svg, { G, Circle } from 'react-native-svg';
	import tw from 'tailwind-react-native-classnames';
	import { Text, View } from 'react-native';

	export default function Chart({
	width,
	height,
	stroke,
	weight,

	import numpy as np
	import soundfile as sf
	from scipy.fftpack import fft, ifft

	def rotateSignal(signal,flip):
	if flip:
	signal = signal[::-1]

	x = np.concatenate((signal, signal[1:][::-1])) # concatenating the array with a reverse of itself makes it such that the fourier transform doesn't layer over a reversed version of itself in the inverse fft
	rotSig = ifft(x)