uses: astral-sh/setup-uv@v7
        with:
          cache-dependency-glob: |
            requirements**.txt
            pyproject.toml
            uv.lock
      - name: Install Dependencies
        run: |
          uv venv
          uv pip install -r requirements.txt
      - name: Run prek - pre-commit
        id: precommit
        run: uvx prek run --from-ref origin/${GITHUB_BASE_REF} --to-ref HEAD --show-diff-on-failure

libcufft-12-8
libcurand-12-8
libcusolver-dev-12-8
libcusparse-dev-12-8
libcublas-12-8
libcublas-dev-12-8
libnccl-dev=2.25.1-1+cuda12.8
libnccl2=2.25.1-1+cuda12.8
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

/// info

To use `EmailStr`, first install <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email-validator`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

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

or with:

```console

libcufft-13-0
libcurand-13-0
libcusolver-dev-13-0
libcusparse-dev-13-0
libcublas-13-0
libcublas-dev-13-0
libnccl-dev=2.27.7-1+cuda13.0
libnccl2=2.27.7-1+cuda13.0
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-headers-cuda-13=9.12.0.46-1
libcudnn9-static-cuda-13=9.12.0.46-1
libcudnn9-dev-cuda-13=9.12.0.46-1

<div class="termy">

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

---> 100%
```

</div>

...これには、コードを実行するサーバーとして使用できる `uvicorn`も含まれます。

/// note | 備考

パーツ毎にインストールすることも可能です。

以下は、アプリケーションを本番環境にデプロイする際に行うであろうものです:

```
pip install fastapi
```

また、サーバーとして動作するように`uvicorn` をインストールします:

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

そして、使用したい依存関係をそれぞれ同様にインストールします。

opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch

///

//// tab | `pip`

<div class="termy">

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

---> 100%
```

</div>

////

//// tab | `uv`

<a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">`uv`</a>를 사용하는 경우:

<div class="termy">

```console
$ uv pip install "fastapi[standard]"
---> 100%
```

</div>

////

FROM golang:1.24-alpine as build

ARG TARGETARCH
ARG RELEASE

ENV GOPATH=/go
ENV CGO_ENABLED=0

# Install curl and minisign
RUN apk add -U --no-cache ca-certificates && \
    apk add -U --no-cache curl && \
    go install aead.dev/minisign/cmd/minisign@v0.2.1

# Download minio binary and signature files
RUN curl -s -q https://dl.min.io/server/minio/hotfixes/linux-${TARGETARCH}/archive/minio.${RELEASE} -o /go/bin/minio && \

# 请求表单与文件

FastAPI 支持同时使用 `File` 和 `Form` 定义文件和表单字段。

/// info | 说明

接收上传文件或表单数据，要预先安装 <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>。

例如，`pip install python-multipart`。

///

## 导入 `File` 与 `Form`

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

## 定义 `File` 与 `Form` 参数

创建文件和表单参数的方式与 `Body` 和 `Query` 一样：

fi

# SqlServer for Mac M1
if [[ -z $GITHUB_ACTION && -d tests ]]; then
  cd tests
  if [[ $(uname -a) == *" arm64" ]]; then
    MSSQL_IMAGE=mcr.microsoft.com/azure-sql-edge docker compose up -d --wait
    go install github.com/microsoft/go-sqlcmd/cmd/sqlcmd@latest || true
    for query in \
      "IF DB_ID('gorm') IS NULL CREATE DATABASE gorm" \
      "IF SUSER_ID (N'gorm') IS NULL CREATE LOGIN gorm WITH PASSWORD = 'LoremIpsum86';" \