unless indicated otherwise.

1) Add the new version to the `VERSIONS` variable inside
   `tensorflow/tools/toolchains/python/python_repo.bzl`. \
   While this isn't necessary for running the updater, it is required for
   actually using the new version with Tensorflow.

2) In the `WORKSPACE` file, add the new version to the `python_versions`
   parameter of the `python_register_multi_toolchains` function.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline
based on a specific branch. Currently, we have two pipelines: `master` and `release`, but you can easily create
and test another isolated pipeline from any branch. 

  * Replicate a service definition and change the name of the new service appropriately.
  * Update the command section in each service.
  * Add a new MinIO server instance to the upstream directive in the Nginx configuration file.

initialize them, you must run:

    git submodule init
    git submodule update

TODO
----

 * Add maven goal to avoid manual call to git submodule init.
 * Make hpack-test-case update itself from git, and run new tests.
 * Add maven goal to generate stories and a pull request to hpack-test-case
   to have others validate our output.

#   and will also try using public build cache results to speed up
#   your builds. This usually saves a lot of time, especially when
#   re-running tests. However, note that:
#
#    - New environments like new CUDA versions, changes to manylinux,
#      compilers, etc. can cause undefined behavior such as build failures
#      or tests passing incorrectly.
#    - Automatic LLVM updates are known to extend build time even with

testImplementation("com.squareup.okhttp3:mockwebserver3-junit4:4.12.0")
```

Then in tests annotated `@org.junit.Test`, you may declare a field with the `@Rule` annotation:

```
@Rule public final MockWebServerRule serverRule = new MockWebServerRule();
```

The `serverRule` field has a `server` field. It is an instance of `MockWebServer`. That instance
will be shut down automatically after the test runs.

the total count to _(existing_servers\*m)+(newly_added_servers\*m)_ drives. New object upload requests automatically start using the least used cluster. This expansion strategy works endlessly, so you can perpetually expand your clusters as needed.  When you restart, it is immediate and non-disruptive to the applications. Each group of servers in the command-line is called a pool. There are 2 server pools in this example. New objects are placed in server pools in proportion to the amount of free space...

* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.

You don't have to learn a new syntax, the methods or classes of a specific library, etc.

import (
	"context"
	"log"
	"net/url"
	"time"
	"fmt"

	"github.com/minio/minio-go/v7"
	"github.com/minio/minio-go/v7/pkg/credentials"
)

func main() {
	s3Client, err := minio.New("localhost:9000", &minio.Options{
		Creds:  credentials.NewStaticV4("minioadmin", "minioadmin", ""),
		Secure: false,
	})
	if err != nil {
		log.Fatalln(err)
	}

[v3_req]
subjectAltName = @alt_names

[alt_names]
IP.1 = 127.0.0.1
DNS.1 = localhost
```

Run `openssl` by specifying the configuration file and enter a passphrase if prompted:

```sh
openssl req -new -x509 -nodes -days 730 -keyout private.key -out public.crt -config openssl.conf
```

### 3.3 Use GnuTLS (for Windows) to Generate a Certificate