#      Ex. py310 -- Python 3.10
#      Ex. py311 -- Python 3.11
#      Ex. py312 -- Python 3.12
# 2. Choose the platform, which corresponds to the version of TensorFlow to
#    build. This should also match the system you're using--you cannot build
#    the TF MacOS package from Linux.
#      Ex. linux_x86        -- x86_64 Linux platform
#      Ex. linux_x86_cuda   -- x86_64 Linux platform, with Nvidia CUDA support

* Checkout the [Community Resources](https://gradle.org/resources/) as well
* Join our [Slack Channel](https://gradle.com/slack-invite)


## Contributing

If you're looking to contribute to Gradle or provide a patch/pull request, you can find more info [here](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md).

which is a fitness factor for a lossless data compression.

Pre-compressed input typically compresses in excess of 2GiB/s per core,
so performance impact should be minimal even if precompressed data is re-compressed.
Decompressing incompressible data has no significant performance impact.

Below is a list of common files and content-types which are typically not suitable for compression.

- Extensions

example, let us take a gzip compressed CSV file. Without S3 Select, we would need to download, decompress and process the entire CSV to get the data you needed. With Select API, can use a simple SQL expression to return only the data from the CSV you’re interested in, instead of retrieving the entire object. Following Python example shows how to retrieve the first column `Location` from an object containing data in CSV format.

Please replace ``endpoint_url``,``aws_access_key_id``, ``aws_secret_access_key``,...

		resp.headers['x-amz-request-route'] = request_route
		resp.headers['x-amz-request-token'] = request_token
		return resp

	else:
		abort(400)

if __name__ == '__main__':
	app.run()
```

## Get started

If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters.

### 1. Prerequisites

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