delivrance

import asyncio
from concurrent.futures import ThreadPoolExecutor


async def ainput(prompt: str = "") -> str:
    with ThreadPoolExecutor(1, "AsyncInput") as executor:
        return await asyncio.get_event_loop().run_in_executor(executor, input, prompt)


async def main():

Yegorov

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

# https://toster.ru/q/72866
# How to
# wget http://gist.github.com/...
# chmod +x ya.py
# ./ya.py download_url path/to/directory

import os, sys, json

jbsulli

Demo:

Spoiler warning

Spoiler text. Note that it's important to have a space after the summary tag. You should be able to write any markdown you want inside the <details> tag... just make sure you close <details> afterward.

console.log("I'm a code block!");

moodoki

import os, argparse

import tensorflow as tf
from tensorflow.python.framework import graph_util

dir = os.path.dirname(os.path.realpath(__file__))

def freeze_graph(model_folder, output_nodes='y_hat', 
                 output_filename='frozen-graph.pb', 
                 rename_outputs=None):

kmhofmann

Building TensorFlow from source (TF 2.3.0, Ubuntu 20.04)

Why build from source?

The official instructions on installing TensorFlow are here: https://www.tensorflow.org/install. If you want to install TensorFlow just using pip, you are running a supported Ubuntu LTS distribution, and you're happy to install the respective tested CUDA versions (which often are outdated), by all means go ahead. A good alternative may be to run a Docker image.

I am usually unhappy with installing what in effect are pre-built binaries. These binaries are often not compatible with the Ubuntu version I am running, the CUDA version that I have installed, and so on. Furthermore, they may be slower than binaries optimized for the target architecture, since certain instructions are not being used (e.g. AVX2, FMA).

So installing TensorFlow from source becomes a necessity. The official instructions on building TensorFlow from source are here: ht

ziadoz

#!/usr/bin/env bash
# https://developers.supportbee.com/blog/setting-up-cucumber-to-run-with-Chrome-on-Linux/
# https://gist.github.com/curtismcmullan/7be1a8c1c841a9d8db2c
# https://stackoverflow.com/questions/10792403/how-do-i-get-chrome-working-with-selenium-using-php-webdriver
# https://stackoverflow.com/questions/26133486/how-to-specify-binary-path-for-remote-chromedriver-in-codeception
# https://stackoverflow.com/questions/40262682/how-to-run-selenium-3-x-with-chrome-driver-through-terminal
# https://askubuntu.com/questions/760085/how-do-you-install-google-chrome-on-ubuntu-16-04

# Versions
CHROME_DRIVER_VERSION=`curl -sS https://chromedriver.storage.googleapis.com/LATEST_RELEASE`

hakobe

package main

import (
	"io"
	"log"
	"net"
	"time"
)

func reader(r io.Reader) {

Triztan

FFmpeg has been removed from Ubuntu 14.04 and was replaced by Libav. This decision has been reversed so that FFmpeg is available now in Ubuntu 15.04 again, but there is still no official package for 14.04. In this tutorial, I will show you how to install FFmpeg from mc3man ppa. Add the mc3man ppa:

sudo add-apt-repository ppa:mc3man/trusty-media
And confirm the following message by pressing <enter>:

Also note that with apt-get a sudo apt-get dist-upgrade is needed for initial setup & with some package upgrades
More info: https://launchpad.net/~mc3man/+archive/ubuntu/trusty-media
Press [ENTER] to continue or ctrl-c to cancel adding it
Update the package list.

iamralch

import (
	"archive/zip"
	"io"
	"os"
	"path/filepath"
	"strings"
)

func zipit(source, target string) error {
	zipfile, err := os.Create(target)

Naios

/*
 *  Copyright (C) 2015 Naios <naios-dev@live.de>
 *
 *  This program is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This program is distributed in the hope that it will be useful,