.build();

// Connect 'em all together. Certificates are exchanged in the handshake.
Call call = client.newCall(new Request.Builder()
    .url(server.url("/"))
    .build());
Response response = call.execute();
System.out.println(response.handshake().peerPrincipal());
RecordedRequest recordedRequest = server.takeRequest();
System.out.println(recordedRequest.getHandshake().peerPrincipal());
```

```java
OkHttpClient client = new OkHttpClient();

String run(String url) throws IOException {
  Request request = new Request.Builder()
      .url(url)
      .build();

  try (Response response = client.newCall(request).execute()) {
    return response.body().string();
  }
}
```


Post to a Server
----------------

This program posts data to a service. [Full source][post_example].

```java

See [Gradle runtimes](runtimes.md) for a list of these runtimes and more details.

## Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.
Gradle tracks the state of each piece and transitions each piece through its lifecycle as the build runs.

    print(" [x] %r" % body)

channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=False)

channel.start_consuming()
```

Execute this example python program to watch for RabbitMQ events on the console.

```py
python rabbit.py
```

Open another terminal and upload a JPEG image into `images` bucket.

```

- Set: `values.global.logging.level="cni:debug,ambient:debug"`
- Inspect the pod logs of a `istio-cni` Daemonset pod on a specific node.

#### From a specific node syslog

The CNI plugins are executed by threads in the `kubelet` process.  The CNI plugins logs end up the syslog
under the `kubelet` process. On systems with `journalctl` the following is an example command line

2. Running the CI scripts locally, as explained below
3. **Google employees only**: Google employees can use an internal-only tool
called "MLCI" that makes testing more convenient: it can execute any full CI job
against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

* Click on the button "Try it out", it allows you to fill the parameters and directly interact with the API:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png)

* Then click on the "Execute" button, the user interface will communicate with your API, send the parameters, get the results and show them on the screen:

![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)