mc mb myminio/functionbucket
```

Create a file `testobject` with some test data that will be transformed
```
cat > testobject << EOF
MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads.
EOF
```

e.g.:
To download `2021/taxes.csv` archived in `financial.zip` and stored under a bucket named `company-data`, you can issue a GET request using the following path 'company-data/financial.zip/2021/taxes.csv`

## Contents properties

   Python version, which will require different versions for at least some
   dependencies, it will need to be updated now, for the script to run
   successfully.

6) A new `requirements_lock_3_11.txt` file should appear under the root of the

# Afterwards: Examine the results, which will include: The bazel cache,
# generated artifacts like .whl files, and "script.log", from the script.
# Note that files created under Docker will be owned by "root".
ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to

## Overview

Fess is a very powerful and easily deployable Enterprise Search Server. You can quickly install and run Fess on any platform where you can run the Java Runtime Environment. Fess is provided under the [Apache License 2.0](LICENSE).

- MinIO distributed mode requires **fresh directories**. If required, the drives can be shared with other applications. You can do this by using a sub-directory exclusive to MinIO. For example, if you have mounted your volume under `/export`, pass `/export/data` as arguments to MinIO server.
- The IP addresses and drive paths below are for demonstration purposes only, you need to replace these with the actual IP addresses and drive paths/folders.

* **Linux:** `~/.minio/certs/CAs/`
* **Windows**: `C:\Users\<Username>\.minio\certs\CAs`

## Explore Further

    * extremely easy tests based on HTTPX and `pytest`
    * **CORS**
    * **Cookie Sessions**
    * ...and more.

## Performance