**Libtensorflow Windows GPU** | Status Temporarily Unavailable                                                                                                                                                   | [Nightly Binary](https://storage.googleapis.com/libtensorflow-nightly/prod/tensorflow/release/windows/latest/gpu/windows_gpu_libtensorflow_binaries.tar.gz)...

}

fun Test.isUnitTest() = listOf("test", "writePerformanceScenarioDefinitions", "writeTmpPerformanceScenarioDefinitions").contains(name)

fun Test.usesEmbeddedExecuter() = name.startsWith("embedded")

fun Test.configureRerun() {
    if (project.rerunAllTests.get()) {
        doNotTrackState("All tests should re-run")
    }
}

fun Test.determineMaxRetries() = when {

If you can use the **latest versions of Python**, use the examples for the latest version, those will have the **best and simplest syntax**, for example, "**Python 3.10+**".

#### List

For example, let's define a variable to be a `list` of `str`.

=== "Python 3.9+"

- Supports object locking/retention across source and destination buckets natively out of the box, unlike AWS S3.
- Simpler implementation than [AWS S3 Bucket Replication Config](https://docs.aws.amazon.com/AmazonS3/latest/dev/replication-add-config.html) with requirements such as IAM Role, AccessControlTranslation, Metrics and SourceSelectionCriteria are not needed with MinIO.
- Active-Active replication
- Multi destination replication

HTTPS
=====

OkHttp attempts to balance two competing concerns:

 * **Connectivity** to as many hosts as possible. That includes advanced hosts that run the latest versions of [boringssl](https://boringssl.googlesource.com/boringssl/) and less out of date hosts running older versions of [OpenSSL](https://www.openssl.org/).

## Pydantic `Settings`

Glücklicherweise bietet Pydantic ein großartiges Werkzeug zur Verarbeitung dieser Einstellungen, die von Umgebungsvariablen stammen, mit <a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings Management</a>.

### `pydantic-settings` installieren

Installieren Sie zunächst das Package `pydantic-settings`:

### Stable

Run the following command to run the latest stable image of MinIO as a container using an ephemeral data volume:

```sh
podman run -p 9000:9000 -p 9001:9001 \
  quay.io/minio/minio server /data --console-address ":9001"
```

The MinIO deployment starts using default root credentials `minioadmin:minioadmin`. You can test the deployment using the MinIO Console, an embedded

  optional string status = 2;

  // The last time this condition was updated.
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastUpdateTime = 6;

  // Last time the condition transitioned from one status to another.
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 7;

  // The reason for the condition's last transition.
  optional string reason = 4;

If you already have a code base that uses <a href="https://docs.peewee-orm.com/en/latest/" class="external-link" target="_blank">Peewee ORM</a>, you can check here how to use it with **FastAPI**.

!!! warning "Python 3.7+ required"
    You will need Python 3.7 or above to safely use Peewee with FastAPI.

```bash
HUB=docker.io/<your-account> TAG=latest make docker.operator
```

This builds the controller binary and docker file, and pushes the image to the specified hub with the `latest` tag.
Once the images are pushed, configure kubectl to point to your cluster and install the controller.

Install the controller manifest:

```bash
istioctl operator init --hub docker.io/<your-account> --tag latest
kubectl create ns istio-system