# Ejecutar un Servidor Manualmente { #run-a-server-manually }

## Usa el Comando `fastapi run` { #use-the-fastapi-run-command }

En resumen, usa `fastapi run` para servir tu aplicación FastAPI:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:solid">main.py</u>

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

import jcifs.internal.smb2.Smb2Constants;
import jcifs.internal.smb2.rdma.RdmaChannelInfo;
import jcifs.internal.util.SMBUtil;

/**
 * SMB2 Write request message.
 *
 * This command is used to write data to a file that has been
 * previously opened with a Create request.
 *
 * @author mbechler
 */

    /**
     * {@inheritDoc}
     *
     * @see jcifs.Configuration#isAllowCompound(java.lang.String)
     */
    @Override
    public boolean isAllowCompound(final String command) {
        return this.delegate.isAllowCompound(command);
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.Configuration#isTraceResourceUsage()
     */
    @Override
    public boolean isTraceResourceUsage() {

# FastAPI CLI { #fastapi-cli }

**FastAPI <abbr title="command line interface - 명령줄 인터페이스">CLI</abbr>**는 FastAPI 애플리케이션을 서빙하고, FastAPI 프로젝트를 관리하는 등 다양한 작업에 사용할 수 있는 커맨드 라인 프로그램입니다.

FastAPI를 설치하면(예: `pip install "fastapi[standard]"`) 터미널에서 실행할 수 있는 커맨드 라인 프로그램이 함께 제공됩니다.

개발용으로 FastAPI 애플리케이션을 실행하려면 `fastapi dev` 명령어를 사용할 수 있습니다:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev

how we can support developers with tooling built on top of `kubectl exec`. The addition of the `kubectl debug` [command](https://github.com/kubernetes/enhancements/blob/master/keps/sig-cli/1441-kubectl-debug/README.md) (it is alpha but your feedback is more than welcome), allows developers to easily debug their Pods inside the cluster. We think this addition is invaluable.  This command allows one to create a temporary container which runs next to the Pod one is trying to examine, but also attaches...

# Запустіть сервер вручну { #run-a-server-manually }

## Використовуйте команду `fastapi run` { #use-the-fastapi-run-command }

Коротко: використовуйте `fastapi run`, щоб запустити ваш застосунок FastAPI:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:solid">main.py</u>

  <span style="background-color:#009485"><font color="#D3D7CF"> FastAPI </font></span>  Starting production server 🚀

# ==============================================================================
"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in

{* ../../docs_src/pydantic_v1_in_v2/tutorial004_an_py310.py hl[4,18] *}

### Migrate in steps { #migrate-in-steps }

/// tip

First try with `bump-pydantic`, if your tests pass and that works, then you're done in one command. ✨

///

If `bump-pydantic` doesn't work for your use case, you can use the support for both Pydantic v1 and v2 models in the same app to do the migration to Pydantic v2 gradually.

  ':libs:elasticsearch-nio',
  ':libs:elasticsearch-plugin-classloader',
  ':libs:elasticsearch-secure-sm',
  ':libs:elasticsearch-ssl-config',
  ':libs:elasticsearch-x-content',
  ':modules:analysis-common',
  ':modules:ingest-common',
  ':modules:ingest-geoip',
  ':modules:ingest-user-agent',
  ':modules:lang-expression',
  ':modules:lang-mustache',
  ':modules:lang-painless',
  ':modules:lang-painless:spi',

package org.codelibs.fess.job;

import static org.codelibs.core.stream.StreamUtil.stream;

import java.io.File;
import java.util.ArrayList;
import java.util.List;

import org.apache.commons.lang3.RandomStringUtils;
import org.apache.commons.lang3.SystemUtils;
import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.timer.TimeoutTask;