Arbal arbal

# move to home directory
cd ~

# move the .zsh_history file into another .zsh_history_bad file
mv .zsh_history .zsh_history_bad

# write all printable strings into a new .zsh_history file
strings .zsh_history_bad > .zsh_history

XDG - Base Directory Specification

Directories

Base

The intended use-case for BaseDirectories is to query the paths of user-invisible standard directories that have been defined according to the conventions of the operating system the library is running on.

Setting up a GPU server with scheduling and containers

Our group recently acquired a new server to do some deep learning: a SuperMicro 4029GP-TRT2, stuffed with 8x NVidia RTX 2080 Ti. Though maybe a bit overpowered, with upcoming networks like BigGAN and fully 3D networks, as well as students joining our group, this machine will be used quite a lot in the future.

One challenge is, is how to manage these GPUs. There are many approaches, but given that most PhD candidates aren't sysadmins, these range from 'free-for-all', leading to one person hogging all GPUs for weeks due to a bug in the code, to Excel sheets that noone understands and noone adheres to because changing GPU ids in code is hard. This leads to a lot of frustration, low productivity and under-utilisation of these expensive servers. Another issue is conflicting software versions. TensorFlow and Keras, for example, tend to do breaking API changes every now and then. As t

	llmc() {
	local system_prompt='Output a command that I can run in a ZSH terminal on macOS to accomplish the following task. Try to make the command self-documenting, using the long version of flags where possible. Output the command first enclosed in a "```zsh" codeblock followed by a concise explanation of how it accomplishes it.'
	local temp_file=$(mktemp)
	local capturing=true
	local command_buffer=""
	local first_line=true
	local cleaned_up=false # Flag to indicate whether cleanup has been run

	cleanup() {
	# Only run cleanup if it hasn't been done yet

	# [2023-05-25] Added Copilot Chat, and VSCode Insiders
	# [2023-05-20] Add VSCode Insiders variant
	# [2023-02-22] Added Copilot Labs

	# Fix Github Co-pilot self-signed cert problem
	# See: https://github.com/orgs/community/discussions/8866#discussioncomment-3517831

	# Note
	#
	# To make Github Copilot/Nightly/Labs/Chat work, you might need additional

	% df -h
	Filesystem Size Used Avail Use% Mounted on
	/dev/dm-1 46G 14G 31G 31% /
	udev 10M 0 10M 0% /dev
	tmpfs 2.3G 9.2M 2.3G 1% /run
	tmpfs 5.8G 232K 5.8G 1% /dev/shm
	tmpfs 5.0M 4.0K 5.0M 1% /run/lock
	tmpfs 5.8G 0 5.8G 0% /sys/fs/cgroup
	/dev/mapper/thinkbook-home 92G 55G 33G 63% /home
	/dev/sda1 232M 35M 181M 16% /boot

	# logfilename [owner:group] mode count size when flags [/pid_file] [sig_num]
	/Users/your-username/path-your-rails-project/log/.log your-username:staff 644 4 $D0 GJ

	# NOTES
	#
	# Place file in /etc/newsyslog.d
	# '$D0' under 'when' tells newsyslog to rotate logs daily at midnight.
	# Alternatively you could use '24' for 'when', which would specify "every 24 hours"
	# '*' under 'size' specifies that logs should be rotated regardless of their size.
	# 'G' under 'flags' tells newsyslog that the 'logfilename' is a pattern and it should rotate all log files matching the pattern.

	#!/usr/bin/env bash

	size=1024 # MB
	mount_point=$HOME/tmp
	name=$(basename "$mount_point")

	usage() {
	echo "usage: $(basename "$0") [mount \| umount \| remount \| check \| orphan]" \
	"(default: mount)" >&2
	}

	#!/bin/sh

	# This program has two feature.
	#
	# 1. Create a disk image on RAM.
	# 2. Mount that disk image.
	#
	# Usage:
	# $0 <dir> <size>
	#

	// #popclip extension for ChatGPT
	// name: ChatGPT Quick Actions
	// icon: iconify:logos:openai-icon
	// language: javascript
	// module: true
	// entitlements: [network]
	// options: [{
	// identifier: apikey, label: API Key, type: string,
	// description: 'Obtain API key from https://platform.openai.com/account/api-keys'
	// }]