Dev Null d3v-null

%% Live Render https://mermaid-js.github.io/mermaid-live-editor/edit#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

Just some bash one-liners for using ytmusic

Setup

pip install ytmusicapi pandas tabulate beets

Follow the prompts to store your ytmusic credentials from a python shell

	import numpy as np
	from astropy.io import fits

	def make_fits_axis_array(hdu, axis):
	count = hdu.header[f"NAXIS{axis}"]
	crval = hdu.header[f"CRVAL{axis}"]
	cdelt = hdu.header[f"CDELT{axis}"]
	crpix = hdu.header[f"CRPIX{axis}"]
	return cdelt * (np.arange(count) - crpix) + crval

	#!/bin/bash -l
	#SBATCH -J "*:~.✩"
	#SBATCH --nodes=1
	#SBATCH --ntasks-per-node=1
	#SBATCH --account=mwaeor
	#SBATCH --export=NONE
	#SBATCH --partition=gpuq
	#SBATCH --cpus-per-task=32
	#SBATCH --mem=350G
	#SBATCH --tmp=500G

	# particle physics simulation of charged particles in a toroidal field with electrostatic repoulsion
	# (basically all the fish are attracted to an invisible rotating donut, and repelled by each other
	# assumes all particles of equal mass and charge

	# constant simulation parameters:

	# screen size
	SS = 800
	# number of particles
	NP = 16

	# Benchmark details:
	# test was done to/from /tmp mounted in memory to remove disk io variability
	# - observation: 46GiB, 214-timestep, 768-channel, 128-tile, 0.5s / 40kHz
	# - virtual machine: 64 cores, 256GB of memory, Nimbus.
	# - corrections: cable delays, digital gains, pfb passband, geometric delays,
	# 8x time averaging, 4x frequency averaging, aoflagger disabled because not support
	# - software versions:
	# - Birli 0.6.3
	# - Cotter 4.6
	# - Pyuvdata 2.2.8 on Python 3.8.10

	# Generate messages in background
	(while true; do echo "$(vcgencmd measure_volts) $(vcgencmd measure_temp)" \| systemd-cat; sleep 1; done)&
	# View messages
	journalctl -f