"mtime": "1350244992.023960108",
				"atime": "1350244992.023960108",
				"ctime": "1350244992.023960108",
			},
			Format: FormatPAX,
		}, {
			Name:       "a/b",
			Mode:       0777,
			Uid:        1000,
			Gid:        1000,
			Uname:      "shane",
			Gname:      "shane",
			Size:       0,
			ModTime:    time.Unix(1350266320, 910238425),
			ChangeTime: time.Unix(1350266320, 910238425),

/// details | `.venv` ou outro nome

Você pode criar o ambiente virtual em um diretório diferente, mas há uma convenção para chamá-lo de `.venv`.

///

## Ative o ambiente virtual { #activate-the-virtual-environment }

Ative o novo ambiente virtual para que qualquer comando Python que você executar ou pacote que você instalar o utilize.

/// tip | Dica

				PAXRecords: map[string]string{"path": ""}, // Should delete "path", but keep "mtime"
			}, nil},
			testHeader{Header{
				Typeflag: TypeReg, Name: "file3",
			}, nil},
			testHeader{Header{
				Typeflag:   TypeReg,
				Name:       "file4",
				ModTime:    time.Unix(1400000000, 0),
				PAXRecords: map[string]string{"mtime": "1400000000"},
			}, nil},
			testClose{nil},
		},
	}, {

Certifique-se de criar um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, ative-o e instale-o, por exemplo:

```console
$ pip install email-validator
```

ou com:

```console
$ pip install "pydantic[email]"
```

///

Por ejemplo, podrías añadir un custom header `X-Process-Time` que contenga el tiempo en segundos que tomó procesar la request y generar una response:

{* ../../docs_src/middleware/tutorial001_py39.py hl[10,12:13] *}

/// tip | Consejo

Aquí usamos <a href="https://docs.python.org/3/library/time.html#time.perf_counter" class="external-link" target="_blank">`time.perf_counter()`</a> en lugar de `time.time()` porque puede ser más preciso para estos casos de uso. 🤓

labels.crawling_info_CrawlerStartTime=Crawler Start Time
labels.crawling_info_CrawlerEndTime=Crawler End Time
labels.crawling_info_CrawlerExecTime=Crawler Execution Time
labels.crawling_info_CrawlerStatus=Crawler Status
labels.crawling_info_WebFsCrawlExecTime=Crawl Execution Time (Web/File)
labels.crawling_info_WebFsCrawlStartTime=Crawl Start Time (Web/File)
labels.crawling_info_WebFsCrawlEndTime=Crawl End Time (Web/File)

    public static final String WEB_FS_CRAWLER_START_TIME = "WebFsCrawlStartTime";

    /** Info map key for web/file system crawler end time. */
    public static final String WEB_FS_CRAWLER_END_TIME = "WebFsCrawlEndTime";

    /** Info map key for data crawler start time. */
    public static final String DATA_CRAWLER_START_TIME = "DataCrawlStartTime";

    /** Info map key for data crawler end time. */

            logger.debug("{} is not available.", generator.getName());
        }
    }

    /**
     * Purges old thumbnail files based on the expiry time.
     *
     * @param expiry the expiry time threshold
     * @return the number of files purged
     */
    public long purge(final long expiry) {
        if (!baseDir.exists()) {
            return 0;
        }
        try {

        }).createPageNumberList());

        return scheduledJobList;
    }

    /**
     * Gets a list of scheduled jobs that have been updated after a specific time.
     * @param updateTime The update time.
     * @return A list of scheduled jobs.
     */
    public List<ScheduledJob> getScheduledJobListAfter(final long updateTime) {
        return scheduledJobBhv.selectPage(cb -> {

* <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> para a parte de dados.

## Instalação { #installation }

Crie e ative um <a href="https://fastapi.tiangolo.com/pt/virtual-environments/" class="external-link" target="_blank">ambiente virtual</a> e então instale o FastAPI:

<div class="termy">

```console
$ pip install "fastapi[standard]"