## Use `StaticFiles`

* Importe `StaticFiles`.
* "Monte" uma instância de `StaticFiles()` em um caminho específico.

```Python hl_lines="2  6"
{!../../../docs_src/static_files/tutorial001.py!}
```

!!! note "Detalhes técnicos"
    Você também pode usar `from starlette.staticfiles import StaticFiles`.

## `File` und `Form` importieren

=== "Python 3.9+"

    ```Python hl_lines="3"
    {!> ../../../docs_src/request_forms_and_files/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1"
    {!> ../../../docs_src/request_forms_and_files/tutorial001_an.py!}
    ```

=== "Python 3.8+ nicht annotiert"

    !!! tip "Tipp"
        Bevorzugen Sie die `Annotated`-Version, falls möglich.

    예 ) `pip install python-multipart`.

## `File` 및 `Form` 업로드

```Python hl_lines="1"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```

## `File` 및 `Form` 매개변수 정의

`Body` 및 `Query`와 동일한 방식으로 파일과 폼의 매개변수를 생성합니다:

```Python hl_lines="8"
{!../../../docs_src/request_forms_and_files/tutorial001.py!}
```

파일과 폼 필드는 폼 데이터 형식으로 업로드되어 파일과 폼 필드로 전달됩니다.

어떤 파일들은 `bytes`로, 또 어떤 파일들은 `UploadFile`로 선언할 수 있습니다.

# Request Files

You can define files to be uploaded by the client using `File`.

!!! info
    To receive uploaded files, first install <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

    E.g. `pip install python-multipart`.

    This is because uploaded files are sent as "form data".

## Import `File`

Import `File` and `UploadFile` from `fastapi`:

=== "Python 3.9+"

# 静的ファイル

`StaticFiles` を使用して、ディレクトリから静的ファイルを自動的に提供できます。

## `StaticFiles` の使用

* `StaticFiles` をインポート。
* `StaticFiles()` インスタンスを生成し、特定のパスに「マウント」。

```Python hl_lines="2  6"
{!../../../docs_src/static_files/tutorial001.py!}
```

!!! note "技術詳細"
    `from starlette.staticfiles import StaticFiles` も使用できます。

    **FastAPI**は、開発者の利便性のために、`starlette.staticfiles` と同じ `fastapi.staticfiles` を提供します。しかし、実際にはStarletteから直接渡されています。

## Overview

MinIO implements an S3 extension to list, stat and download files inside a ZIP file stored in any bucket. A perfect use case scenario is when you have a lot of small files archived in multiple ZIP files. Uploading them is faster than uploading small files individually. Besides, your S3 applications will be able to access to the data with little performance overhead.

     * Returns non-empty directories: the mapping of directory to at most 4 leftover files' relative path in the directory.
     */
    private
    fun TestFilesCleanupProjectState.tmpTestFiles(): LeftoverFiles = projectBuildDir.get().asFile.resolve("tmp/teŝt files")
        .listFiles()
        ?.associateWith { dir ->
            val dirPath = dir.toPath()
            Files.walk(dirPath).use { paths ->

-   Continuous jobs (Run on every GitHub commit)
    -   Uses `pycpp.sh`
-   Presubmit jobs (Run on every GitHub PR)
    -   Uses `pycpp.sh`, `code_check_changed_files.sh`

These "env" files match up with an environment matrix that roughly covers:

-   Different Python versions
-   Linux, MacOS, and Windows machines (these pool definitions are internal)
-   x86 and arm64

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)

* If a socket is not found, istio-agent then checks whether certificate files are present or not on the defined **certificate path** `/var/run/secrets/workload-spiffe-credentials`. If certificate files are found, istio-agent will start its own SDS Server, listening and serving these certificates on the defined **socket path** `/var/run/secrets/workload-spiffe-uds/socket`,