## Cluster Replication Metrics

Metrics marked as ``Site Replication Only`` only populate on deployments with [Site Replication](https://docs.min.io/community/minio-object-store/operations/install-deploy-manage/multi-site-replication.html) configurations.

## 설치

<div class="termy">

```console
$ pip install fastapi

---> 100%
```

</div>

프로덕션을 위해 <a href="http://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a> 또는 <a href="https://github.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>과 같은 ASGI 서버도 필요할 겁니다.

<div class="termy">

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

---> 100%
```

</div>

    implements ClassToInstanceMap<B>, Serializable {

  /**
   * Returns a new {@code MutableClassToInstanceMap} instance backed by a {@link HashMap} using the
   * default initial capacity and load factor.
   */
  public static <B extends @Nullable Object> MutableClassToInstanceMap<B> create() {
    return new MutableClassToInstanceMap<>(new HashMap<Class<? extends @NonNull B>, B>());
  }

  /**

# フォームデータ

JSONの代わりにフィールドを受け取る場合は、`Form`を使用します。

/// info | 情報

フォームを使うためには、まず<a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>をインストールします。

たとえば、`pip install python-multipart`のように。

///

## `Form`のインポート

`fastapi`から`Form`をインポートします:

{* ../../docs_src/request_forms/tutorial001.py hl[1] *}

## `Form`のパラメータの定義

`Body`や`Query`の場合と同じようにフォームパラメータを作成します:

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

    no longer include NCCL in the binary install. TensorFlow usage with multiple
    GPUs and NCCL requires upgrade to
    [NCCL 2.2](https://developer.nvidia.com/nccl). See updated install guides:
    [TensorFlow GPU support](https://www.tensorflow.org/install/gpu) and
    [Build TensorFlow from source](https://www.tensorflow.org/install/source).

   * {@link #setNameFormat} accepts a thread name <i>format string</i> (e.g., {@code
   * threadFactoryBuilder.setNameFormat("rpc-pool-%d")}), while {@code threadBuilder.name()} accepts
   * a thread name <i>prefix</i> and initial counter value (e.g., {@code
   * threadBuilder.name("rpc-pool-", 0)}.
   *
   * @param nameFormat a {@link String#format(String, Object...)}-compatible format String, to which

& ⤴️ 🐁-🔗 **Uvicorn 👨‍🏭** 🎓 🔜 🈚 🏭 📊 📨 🐁 🔫 🐩 FastAPI ⚙️ ⚫️.

## ❎ 🐁 & Uvicorn

<div class="termy">

```console
$ pip install "uvicorn[standard]" gunicorn

---> 100%
```

</div>

👈 🔜 ❎ 👯‍♂️ Uvicorn ⏮️ `standard` ➕ 📦 (🤚 ↕ 🎭) &amp; 🐁.

## 🏃 🐁 ⏮️ Uvicorn 👨‍🏭

⤴️ 👆 💪 🏃 🐁 ⏮️:

<div class="termy">

Garanta que você criou um [ambiente virtual](../virtual-environments.md){.internal-link target=_blank}, o ativou e então o instalou, por exemplo:

```console
$ pip install python-multipart
```

Isso é necessário, visto que os arquivos enviados são enviados como "dados de formulário".

///

## Importe `File`

Importe `File` e `UploadFile` de `fastapi`:

Dans ce cas, votre `Dockerfile` pourrait ressembler à ceci :

```Dockerfile
FROM python:3.7

RUN pip install fastapi uvicorn

EXPOSE 80

COPY ./app /app

CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

## Créer le code **FastAPI**.

* Créer un répertoire `app` et y entrer.