Greggman greggman

Omar is looking for:

A tool that generates a zip containing files in "new" that aren't in "old"

(that would effectively act like a "patch" that doesn't delete removed files).

butler in a nutshell

Here's what butler does:

(NB: adapted from this Ask Ubuntu thread -- tested to work on Ubuntu 16.04 LTS through Ubuntu 22.04 LTS (Jammy).

Unlike using VMWare Tools to enable Linux guest capabilities, the open-vm-tools package doesn't auto-mount shared VMWare folders. This can be frustrating in various ways, but there's an easy fix.

TL;DR

Install open-vm-tools and run:

sudo mount -t fuse.vmhgfs-fuse .host:/ /mnt/hgfs -o allow_other

	#!/usr/bin/python

	'''
	Copyright 2009, The Android Open Source Project

	Licensed under the Apache License, Version 2.0 (the "License");
	you may not use this file except in compliance with the License.
	You may obtain a copy of the License at

	http://www.apache.org/licenses/LICENSE-2.0

	# with a space, this doesn't work...

	$ ANSIBLE_ARGS='-t elasticsearch' vagrant provision
	==> default: Running provisioner: ansible...
	ERROR: tag(s) not found in playbook: elasticsearch. possible values: apache,common,elasticsearch,java,passenger,postgresql,ruby
	Ansible failed to complete successfully. Any error output should be visible above. Please fix these errors and try again.

	# without the space, it now works...

	$ ANSIBLE_ARGS='-telasticsearch' vagrant provision

	Suppose we want to compute the frequency spectrum of an n-point sampled signal. That is,
	we want to compute the signal's discrete Fourier transform. Taking a cue from multi-rate
	signal processing, let's try a divide-and-conquer approach where we downsample the signal
	by 2:1 and recursively compute the spectrum of that. There are two possible downsamplings,
	corresponding to the even and odd phases.

	By the Nyquist sampling theorem, assuming the signal has no upper half-band frequencies,
	i.e. its top n/2 frequency bins are zero, the spectrum can be perfectly reconstructed
	from the spectrum of _either_ the even subsignal or the odd subsignal, without any aliasing.