"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. */

* <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]"

  }

  /**
   * This test attempts to cause a future to wait for longer than it was requested to from a timed
   * get() call. As measurements of time are prone to flakiness, it tries to assert based on ranges
   * derived from observing how much time actually passed for various operations.
   */
  @SuppressWarnings("ThreadPriorityCheck")
  @AndroidIncompatible // Thread.suspend

import logging
import secrets
import subprocess
import time
from collections import Counter
from collections.abc import Container
from datetime import datetime, timedelta, timezone
from pathlib import Path
from typing import Any, Union

import httpx
import yaml
from github import Github
from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings

github_graphql_url = "https://api.github.com/graphql"