client = TestClient(app)


def test_redirect_status_code():
    response = client.get("/pydantic", follow_redirects=False)
    assert response.status_code == 302
    assert response.headers["location"] == "https://docs.pydantic.dev/"


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",

FROM registry.access.redhat.com/ubi9/ubi-micro:latest

ARG RELEASE

LABEL name="MinIO" \
      vendor="MinIO Inc <dev@min.io>" \
      maintainer="MinIO Inc <dev@min.io>" \
      version="${RELEASE}" \
      release="${RELEASE}" \
      summary="MinIO is a High Performance Object Storage, API compatible with Amazon S3 cloud storage service." \

pkg syscall (freebsd-386), type Stat_t struct, Blksize int32
pkg syscall (freebsd-386), type Stat_t struct, Btim_ext int32
pkg syscall (freebsd-386), type Stat_t struct, Ctim_ext int32
pkg syscall (freebsd-386), type Stat_t struct, Dev uint64
pkg syscall (freebsd-386), type Stat_t struct, Gen uint64
pkg syscall (freebsd-386), type Stat_t struct, Ino uint64
pkg syscall (freebsd-386), type Stat_t struct, Mtim_ext int32

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/**
 * <a href="https://guava.dev/EventBus">Discouraged</a> in favor of dependency injection and
 * concurrency frameworks, EventBus allows publish-subscribe-style communication.
 *
 * <p>See the Guava User Guide article on <a

To run your FastAPI app for development, you can use the `fastapi dev` command:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

All the code blocks can be copied and used directly (they are actually tested Python files).

To run any of the examples, copy the code to a file `main.py`, and start `fastapi dev` with:

<div class="termy">

```console
$ <font color="#4E9A06">fastapi</font> dev <u style="text-decoration-style:single">main.py</u>
<font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>

## Pydantic `Settings`

Fortunately, Pydantic provides a great utility to handle these settings coming from environment variables with <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>.

### Install `pydantic-settings`

                org.codelibs.fess.FessBoot $FESS_OPTS > /dev/null
    else
        exec "$JAVA" $FESS_JAVA_OPTS $fess_parms -Dfess.es.dir="$SEARCH_ENGINE_HOME" -cp "$FESS_CLASSPATH" $props \
                org.codelibs.fess.FessBoot $FESS_OPTS <&- > /dev/null &
        if [ x"$pidfile" != "x" ] ; then
            echo $! > $pidfile
        fi
        return $?
    fi

```

</div>

<details markdown="1">
<summary>About the command <code>fastapi dev main.py</code>...</summary>

The command `fastapi dev` reads your `main.py` file, detects the **FastAPI** app in it, and starts a server using <a href="https://www.uvicorn.org" class="external-link" target="_blank">Uvicorn</a>.

By default, `fastapi dev` will start with auto-reload enabled for local development.

# despite lacking Nvidia CUDA support.
TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-central1-docker.pkg.dev/tensorflow-sigs/tensorflow/build-arm64:tf-2-18-multi-python
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64"
TFCI_INDEX_HTML_ENABLE=1
TFCI_LIB_SUFFIX="-cpu-linux-arm64"