carlosal1015

Requirements

1. Install Pylint from Install. If you have anaconda already installed use pip install -U pylint to update the Pylint so that pyreverse is added to the scripts folder.

2. You need to install Graphviz as the pyreverse generates the UML diagrams in dot format and needs the dot.exe provided by Graphviz. Once Graphviz is installed make sure the bin folder is added to the PATH variable so that pyreverse can find it at run time. "the command pyreverse generates the diagrams in all formats that graphviz/dot knows." (Reference

3. Now add the path of python modules for which you want to generate the documentation to PYTHONPATH.

4. Use pyreverse -S <modulename> to generate dot files in the current folder

   Usage:

leaky-coder

// ==UserScript==
// @name         ShellShockers Aimbot and ESP
// @namespace    http://tampermonkey.net/
// @version      0.1
// @description  try to take over the world!
// @author       PacyTense
// @match        *://shellshock.io/*
// @run-at       document-start
// @grant        none
// @noframes

thecipherBlock

var crypto = require("crypto");
var path = require("path");
var fs = require("fs");

var encryptStringWithRsaPublicKey = function(toEncrypt, publicKeyInPemPath) {
    var absolutePath = path.resolve(publicKeyInPemPath);
    var publicKey = fs.readFileSync(absolutePath, "utf8");
    var buffer = Buffer.from(JSON.stringify(toEncrypt));
    var encrypted = crypto.publicEncrypt(publicKey, buffer);
    return encrypted.toString("base64");

prof3ssorSt3v3

//Self-Signed Certificate for using with VS Code Live Server

//Save both files in a location you will remember

1. create a private key
openssl genrsa -aes256 -out localhost.key 2048
// you will be prompted to provide a password
//this will create localhost.key (call it whatever you like)

2. create the certificate

bcremer

## See: https://serverfault.com/a/915845/17736
FROM percona/percona-server:5.7 as builder

USER root

RUN mkdir -p /initialized-db && chown -R mysql:mysql /initialized-db

# That file does the DB initialization but also runs mysql daemon, by removing the last line it will only init
RUN ["sed", "-i", "s/exec \"$@\"/echo \"not running $@\"/", "/docker-entrypoint.sh"]

bogdan-kulynych

# WARNING: These steps seem to not work anymore!

#!/bin/bash

# Purge existign CUDA first
sudo apt --purge remove "cublas*" "cuda*"
sudo apt --purge remove "nvidia*"

# Install CUDA Toolkit 10
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-repo-ubuntu1804_10.0.130-1_amd64.deb

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

ShreyasSkandan

#!/bin/bash

# For latest CUDA 9.0
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/cuda-repo-l4t-9-0-local_9.0.252-1_arm64.deb

# For latest CUDNN 7.0.5
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-dev_7.0.5.13-1+cuda9.0_arm64.deb
wget http://developer.download.nvidia.com/devzone/devcenter/mobile/jetpack_l4t/3.2GA/m892ki/JetPackL4T_32_b196/libcudnn7-doc_7.0.5.13-1+cuda9.0_arm64.deb

mrry

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

mosquito

Docker compose as a systemd unit

Create file /etc/systemd/system/[email protected]. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service