Vincent AGNUS vincentAgnus

OpenVPN .ovpn manipulation.

This is how you can take an OpenVPN .ovpn config file and extract the certificates/keys required to import the profile into NetworkManager.

Download the .ovpn file. Save it somewhere you can store it permanently (I use ~/.vpn).
Copy from between <ca> tags into ca.crt, remove <ca> tags.
Copy from between <cert> tags into client.crt, remove <cert> tags.
Copy from between <key> tags into client.key, remove <key> tags.
Copy from between <tls-auth> tags into ta.key, remove <tls-auth> tags.
Remove the line "key-direction 1"
Above "# -----BEGIN RSA SIGNATURE-----" insert the following lines.

Note: $ denotes the start of a command. Don't actually type this.

Install WSL (Ubuntu for Windows - can be found in Windows Store). I recommend the latest version (I'm using 18.04) because there are some bugs they worked out during 14/16 (microsoft/WSL#785)
Go to https://repo.continuum.io/archive to find the list of Anaconda releases
Select the release you want. I have a 64-bit computer, so I chose the latest release ending in x86_65.sh. If I had a 32-bit computer, I'd select the x86.sh version. If you accidentally try to install the wrong one, you'll get a warning in the terminal. I chose Anaconda3-5.2.0-Linux-x86_64.sh.
From the terminal run wget https://repo.continuum.io/archive/[YOUR VERSION]. Example: $ wget https://repo.continuum.io/archive/Anaconda3-5.2.0-Linux-x86_64.sh
Run the installation script: $ bash Anaconda[YOUR VERSION].sh ($ bash Anaconda3-5.2.0-Linux-x86_64.sh)
Read the license

	from importlib.metadata import PackageNotFoundError
	from importlib.metadata import version as get_module_version

	import subprocess
	import os

	python_libs ="""
	torch
	tensorflow
	tensorboard

	""" the purpose of this class is to propose a visual debugger based on plotly


	example

	vd = VisualDebugger(image)
	vd.points([1,2],name="a point")\
	.points( [x1,x2,y1,y2,....], name="a segment" ) \
	.points( numpy arrau, name="a point or segment") \
	.show()

	@echo OFF
	rem How to run a Python script in a given conda environment from a batch file.

	rem It doesn't require:
	rem - conda to be in the PATH
	rem - cmd.exe to be initialized with conda init

	rem Define here the path to your conda installation
	set CONDAPATH=C:\ProgramData\Miniconda3
	rem Define here the name of the environment

	.PHONY: help project-init docker-build docker-up install-vendors jwt-init db-init hello

	.DEFAULT_GOAL = help


	project-init: docker-build docker-up install-vendors jwt-init db-init hello ## Install and init project

	docker-build: ## Build docker image
	docker-compose build

	import fnmatch
	import os, glob, sys, time
	from gimpfu import *

	"""version of oraconverter meant to be used as a gimp plugin"""


	def process(infile, convert_folder):
	pdb.gimp_progress_set_text("Processing file %s " % infile)
	image = pdb.gimp_xcf_load(0, infile, infile) # 0 is dummy parameter, whatever this is