labels.employeeNumber=Employee Number
labels.user_telephoneNumber=Telephone Number
labels.telephoneNumber=Telephone Number
labels.user_homePhone=Home Phone
labels.homePhone=Home Phone
labels.user_homePostalAddress=Home Postal Address
labels.homePostalAddress=Home Postal Address
labels.user_labeledURI=labeledURI
labels.labeledURI=labeledURI
labels.user_roomNumber=Room Number
labels.roomNumber=Room Number

用法如下：

```Python hl_lines="6"
{!../../docs_src/path_params/tutorial004.py!}
```

/// tip | "提示"

注意，包含 `/home/johndoe/myfile.txt` 的路径参数要以斜杠（`/`）开头。

本例中的 URL 是 `/files//home/johndoe/myfile.txt`。注意，`files` 和 `home` 之间要使用**双斜杠**（`//`）。

///

## 小结

通过简短、直观的 Python 标准类型声明，**FastAPI** 可以获得：

- 编辑器支持：错误检查，代码自动补全等

<font color="#3465A4">INFO    </font> Resolved absolute path <font color="#75507B">/home/user/code/awesomeapp/</font><font color="#AD7FA8">main.py</font>
<font color="#3465A4">INFO    </font> Searching for package file structure from directories with <font color="#3465A4">__init__.py</font> files
<font color="#3465A4">INFO    </font> Importing from <font color="#75507B">/home/user/code/</font><font color="#AD7FA8">awesomeapp</font>

kibana 7 settings for fess
=====

Providing example of kibana settings file for monitoring search logs of fess.

## Install

1. Install and launch Fess.
1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.

            echo "Running container(s) found" && \
            docker stop $running_containers;
          fi
          docker container prune -f
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}

]
interface samr
{
	import "../rpc.idl";
	import "lsarpc.idl";

	typedef [v1_enum] enum {
		ACB_DISABLED               = 0x00000001, /* 1 = User account disabled */
		ACB_HOMDIRREQ              = 0x00000002, /* 1 = Home directory required */
		ACB_PWNOTREQ               = 0x00000004, /* 1 = User password not required */
		ACB_TEMPDUP                = 0x00000008, /* 1 = Temporary duplicate account */

            docker stop $running_containers;
          fi
          docker container prune -f
          docker image prune -af
      - name: Clean repository
        shell: bash
        run: find /home/ubuntu/actions-runner/_work/tensorflow/tensorflow/. -name . -o -prune -exec sudo rm -rf -- {} + || true
      - name: Checkout repository for nightly (skipped for releases)
        if: ${{ github.event_name == 'schedule' }}

{!../../docs_src/path_params/tutorial004.py!}
```

/// tip | "Dica"



///

	Você poderia precisar que o parâmetro contivesse `/home/johndoe/myfile.txt`, com uma barra no inicio (`/`).

	Neste caso, a URL deveria ser: `/files//home/johndoe/myfile.txt`, com barra dupla (`//`) entre `files` e `home`.


## Recapitulando

Com o **FastAPI**, usando as declarações de tipo do Python, você obtém:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
【2】"PlayStation Home" 「ヱヴァンゲリヲン新劇場版:Q スペシャルコラボ」実施中！
--------------------------------------------------------------------------------
最新作『ヱヴァンゲリヲン新劇場版:Q』の劇場公開を記念して、
"PS Home"では『ヱヴァ』主要キャラクターの「なりきりコスチューム」をリリース！

ウィッグセットとプラグスーツセットを着けて
碇シンジ、綾波レイ、式波・アスカ・ラングレー、真希波・マリ・イラストリアスに
なりきるのも、制服セットを着けてクラスメイト気分になるのも楽しいですよ！

▼"PS Home"オフィシャルサイト内「ヱヴァンゲリヲン新劇場版:Q スペシャルコラボ」

Após ativar o ambiente virtual, a variável `PATH` ficaria mais ou menos assim:

//// tab | Linux, macOS

```plaintext
/home/user/code/awesome-project/.venv/bin:/usr/bin:/bin:/usr/sbin:/sbin
```

Isso significa que o sistema agora começará a procurar primeiro por programas em:

```plaintext
/home/user/code/awesome-project/.venv/bin
```

antes de procurar nos outros diretórios.