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Synopsis

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Code Example

Show what the library does as concisely as possible, developers should be able to figure out how your project solves their problem by looking at the code example. Make sure the API you are showing off is obvious, and that your code is short and concise.

Motivation

Project Title

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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

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	import argparse
	import numpy as np
	import torch
	import torch.nn as nn
	import coremltools as ct
	from transformers import AutoTokenizer, AutoModelForCausalLM

	# When using float16, all predicted logits are 0. To be debugged.
	compute_precision = ct.precision.FLOAT32
	compute_units = ct.ComputeUnit.CPU_ONLY

	// 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)