Jeremy McMillan aphor

Thank you to @thobe, please try Neo4J, the coolest NoSQL DB

reproduced from http://journal.thobe.org/2013/02/jvms-and-kill-signals.html 2018-08-12

Tuesday, February 19, 2013 JVMs and kill signals Ever wondered how a JVM reacts to various kill signals? The (intended) behaviour might be documented somewhere already, but I found having a table of > the actual behaviour available quite useful. In particular I wanted to know which kill signals trigger the JVM to run registered shutdown hooks, and > > which kill signals don't actually terminate the JVM. So I decided to compile a table of that information.

I wrote up a small Java application that just registers a shutdown hook that I can detect whether it has executed or not, and then sleeps until I get a chance to kill it:

	#!/usr/bin/python3

	import salt
	import sys

	if __name__ == '__main__':
	MINION_NAME = 'salt-cloud'
	HOSTNAME = sys.env['hostname']
	FOLDER = sys.env['folder']
	IP = sys.env['ip']

	#!/bin/bash

	if [ -z "$1" ] \|\| [ -z "$2" ]
	then
	echo "ERROR: must supply CLI arguments for source and destination paths" >&2 &&
	exit 1
	fi

	export SRCVOL="$1"
	export DSTVOL="$2"

	#!/bin/bash

	# Starting from the work detailed on
	# https://github.com/zfsonlinux/zfs/wiki/Ubuntu-18.04-Root-on-ZFS

	ROOTPASSWD='ch4ng3m3P13453'

	if [ -z "$HOSTNAME" ]
	then
	echo env HOSTNAME must be set >&2

	#!/bin/bash
	# Put this .javapath file in your home directory with execute permission.
	# Run it to create java dotfiles in your home directory to set up
	# PATH and JAVA_HOME for indicated java distros
	# Source the resulting dotfiles to switch current JAVA

	if (return 2>/dev/null)
	then
	PATH=$(echo "$PATH" \|
	awk -F: '{for (i=1;i<=NF;i++){print $i}}' \|

	public class ReportCpuCount {
	public static void main(String[] args) throws Exception{
	while(true){
	System.out.printf("#Found %d CPUs%n", Runtime.getRuntime().availableProcessors());
	Thread.sleep(1000);
	}
	}
	}

	import os, pandas
	cwd = os.getcwd() # this is where to find the csv directories and files

	dfs = {} # this is where we will put the pandas DataFrame for each color

	for root, dirs, files in os.walk(cwd):
	for fn in files:
	if fn.endswith(".csv"): # skip non csv files silently
	color = fn.split('.',3)[1] # extract color name like 'ABC' or 'DEF'
	fqpn = os.path.sep.join((root,fn)) # construct a filename to read

	if {}:
	print("yay!")
	else:
	print("boo!")