will now enable bucket event notifications on a bucket named `images`. Whenever a JPEG image is created/overwritten, a new key is added or an existing key is updated in the Redis hash configured above. When an existing object is deleted, the corresponding key is deleted from the Redis hash. Thus, the rows in the Redis hash, reflect the `.jpg` objects in the `images` bucket.

To configure this bucket notification, we need the ARN printed by MinIO in the previous step. Additional information...

1.  Navigate to the relevant directory:
    ```
    cd ci/official/wheel_test
    ```
2.  Run a script for creating requirements file:
    ```
    bash update_requirements.sh <path_to_tensorflow_wheel> <python_version>
    e.g.:
    bash update_requirements.sh /tmp/tensorflow-2.14.0-cp311-cp311-linux_x86_64.whl 3_11
    ```

#### Requirements Updater Script

This format is chosen to make it easy to validate that these tables are consistent with the RFC.

```
cd okhttp/src/test/resources/okhttp3/internal/idn/
ls rfc3454.*.txt | xargs -n 1 -I {} bash -c "echo {} ; cat {}" > okhttp_tables.txt
curl https://www.rfc-editor.org/rfc/rfc3454.txt > rfc3454.txt
diff rfc3454.txt okhttp_tables.txt | less

### CLI

To build the operator CLI, simply:

```bash
make build
```

Ensure the created binary is in your PATH to run the examples below.

### Controller (in cluster)

Building a custom controller requires a Dockerhub (or similar) account. To build using the container based build:

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

CRDs in place and not have Istio modify them. In this case, it is necessary to apply CRD files individually.

```bash
kubectl apply -k github.com/istio/installer/base
```

or

```bash
kubectl apply -f base/files
```

### Install Istio-CNI

This is an optional step - CNI must run in a dedicated namespace, it is a 'singleton' and extremely

- Use Kubernetes version v1.19 and later for best experience.

## Configure MinIO Helm repo

```bash
helm repo add minio https://charts.min.io/
```

### Installing the Chart

Install this chart using:

```bash
helm install --namespace minio --set rootUser=rootuser,rootPassword=rootpass123 --generate-name minio/minio
```

Config `compress` settings take extensions and mime-types to be compressed.

```bash
~ mc admin config get myminio compression
compression extensions=".txt,.log,.csv,.json,.tar,.xml,.bin" mime_types="text/*,application/json,application/xml"
```

Default config includes most common highly compressible content extensions and mime-types.

```bash
~ mc admin config set myminio compression extensions=".pdf" mime_types="application/pdf"
```

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

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta

```

To specify the file via a Bazel command argument, use the following:

```
--repo_env=REQUIREMENTS_FILE_NAME=my_requirements.in
```

### How to run the updater

```
bash updater.sh
```

## How to add a new Python version

Note: Updating the
[rules-python](https://github.com/bazelbuild/rules_python/releases) version may