Add DiskProvisionedIops/ThroughputMibps pipeline options for the Python SDK

[bambadiouf1]

This pull request introduces two new pipeline options for the Google Cloud Dataflow runner for the python SDK. These options allow users to specify provisioned performance for worker VM disks:

disk_provisioned_iops: Sets the provisioned IOPS for the disk. If unspecified, the service chooses a default
disk_provisioned_throughput_mibps: Sets the provisioned throughput in MiB/s for the disk.

Tests have been added/updated to verify that these options are correctly parsed and translated.

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[gemini-code-assist]

Summary of Changes

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This pull request enables fine-grained control over worker disk performance for Google Cloud Dataflow pipelines. By introducing new pipeline options for provisioned IOPS and throughput, users can now optimize their worker VM disk performance based on specific workload requirements. The changes span the Python, Java, and Go SDKs, ensuring consistent behavior and validation across the supported environments.

Highlights

• New Pipeline Options: Added --disk_provisioned_iops and --disk_provisioned_throughput_mibps options to the Python SDK to allow users to specify worker disk performance.
• Dataflow Runner Support: Updated the Java and Go Dataflow runners to correctly parse, translate, and apply these new disk performance settings to worker pools.
• Testing and Documentation: Added comprehensive unit tests across Python, Java, and Go SDKs to verify the new options, and updated CHANGES.md to reflect the new feature.

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[gemini-code-assist]

Code Review

This pull request introduces support for configuring disk provisioned IOPS and throughput for Dataflow workers across the Java, Go, and Python SDKs. It includes updates to pipeline options, translator logic, and corresponding unit tests for each SDK. Additionally, it updates the Dataflow API client versions and includes minor dependency updates and formatting fixes in the Go SDK. Feedback was provided to update the release notes to include Python support and use more general language for the new pipeline options.

[gemini-code-assist]

The entry mentions support for Java and Go, but this pull request also adds support for the Python SDK. Additionally, the flag names for Python and Go use snake_case (--disk_provisioned_iops and --disk_provisioned_throughput_mibps) rather than the camelCase shown. Consider updating the description to include Python and use more general language for the option names to cover all SDKs.

Suggested change

	* Added support for setting disk provisioned IOPS and throughput in Dataflow runner via `--diskProvisionedIops` and `--diskProvisionedThroughputMibps` pipeline options (Java/Go) ([#38349](https://github.com/apache/beam/issues/38349)).
	* Added support for setting disk provisioned IOPS and throughput in Dataflow runner via disk provisioned IOPS and throughput pipeline options (Java/Go/Python) ([#38349](https://github.com/apache/beam/issues/38349)).

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