///

/// tip | Tipp

Eine **virtuelle Umgebung** unterscheidet sich von einer **Umgebungsvariable**.

Eine **Umgebungsvariable** ist eine Variable im System, die von Programmen verwendet werden kann.

Eine **virtuelle Umgebung** ist ein Verzeichnis mit einigen Dateien darin.

///

/// info | Info

Diese Seite wird Ihnen beibringen, wie Sie **virtuelle Umgebungen** verwenden und wie sie funktionieren.

            options.addOption(Option.builder(AT_FILE)
                    .longOpt("at-file")
                    .hasArg()
                    .desc(
                            "If set, Maven will load command line options from the specified file and merge with CLI specified ones.")
                    .get());
        }
    }

#!/usr/bin/env bash

echo "Running $0"

if [ -n "$TEST_DEBUG" ]; then
	set -x
fi

trap 'catch $LINENO' ERR

# shellcheck disable=SC2120
catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
		for site in sitea siteb sitec; do
			echo "$site server logs ========="
			cat "/tmp/${site}_1.log"
			echo "==========================="
			cat "/tmp/${site}_2.log"
		done
	fi

	echo "Cleaning up instances of MinIO"

## **Typer**, FastAPI의 CLI

<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>

웹 API 대신 터미널에서 사용할 <abbr title="Command Line Interface">CLI</abbr> 앱을 만들고 있다면, <a href="https://typer.tiangolo.com/" class="external-link" target="_blank">**Typer**</a>를 확인해 보십시오.

**Typer**는 FastAPI의 동생입니다. 그리고 **FastAPI의 CLI**가 되기 위해 생겼습니다. ⌨️ 🚀

## 요구사항

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

**특정 프로그램 호출**에 대해서만 사용할 수 있는 환경 변수를 만들 수도 있습니다. 해당 프로그램에서만 사용할 수 있고, 해당 프로그램이 실행되는 동안만 사용할 수 있습니다.

그렇게 하려면 프로그램 바로 앞, 같은 줄에 환경 변수를 만들어야 합니다:

<div class="termy">

```console
// Create an env var MY_NAME in line for this program call
$ MY_NAME="Wade Wilson" python main.py

// Now it can read the environment variable

Hello Wade Wilson from Python

// The env var no longer exists afterwards
$ python main.py

        optimizedHelper.setProperty(bean2, "count", Integer.class, config2);
    }

    /**
     * Main method to run the JMH benchmark.
     *
     * @param args command line arguments
     * @throws RunnerException if the benchmark fails to run
     */
    public static void main(String[] args) throws RunnerException {
        Options opt = new OptionsBuilder()

```

</div>

////

/// tip

Every time you install a **new package** in that environment, **activate** the environment again.

This makes sure that if you use a **terminal (<abbr title="command line interface">CLI</abbr>) program** installed by that package, you use the one from your virtual environment and not any other that could be installed globally, probably with a different version than what you need.

///

////

/// tip | Подсказка

Каждый раз, когда вы устанавливаете **новый пакет** в это окружение, **активируйте** окружение снова.

Это гарантирует, что если вы используете **программу терминала (<abbr title="command line interface – интерфейс командной строки">CLI</abbr>)**, установленную этим пакетом, вы будете использовать именно ту, что из вашего виртуального окружения, а не какую‑то глобально установленную, возможно другой версии, чем вам нужна.

</div>

////

/// tip | Dica

Toda vez que você instalar um **novo pacote** naquele ambiente, **ative** o ambiente novamente.

Isso garante que, se você usar um **programa de terminal (<abbr title="Command Line Interface – Interface de Linha de Comando">CLI</abbr>)** instalado por esse pacote, você usará aquele do seu ambiente virtual e não qualquer outro que possa ser instalado globalmente, provavelmente com uma versão diferente do que você precisa.