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 enhances the Google Cloud Dataflow runner for the Python SDK by introducing support for fine-grained disk performance configuration. Users can now explicitly define provisioned IOPS and throughput for worker VM disks, providing greater control over resource performance in Dataflow pipelines.

Highlights

• New Pipeline Options: Added --disk_provisioned_iops and --disk_provisioned_throughput_mibps options to the Python SDK for Google Cloud Dataflow.
• Dataflow API Integration: Updated the Dataflow API client to propagate these new disk performance settings to the worker pool configuration.
• Testing: Added comprehensive unit tests to verify correct parsing of the new options and their translation into the API request.

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[gemini-code-assist]

Code Review

This pull request introduces two new pipeline options, --disk_provisioned_iops and --disk_provisioned_throughput_mibps, which allow users to configure provisioned IOPS and throughput for worker disks in the Dataflow runner. The changes include updates to the pipeline options parser, the Dataflow API client, and internal message definitions, supported by new unit tests. Feedback was provided regarding the need to update CHANGES.md with a description of these new features, as the current change to that file only involves whitespace.

[github-actions]

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R: @tvalentyn for label python.

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[tvalentyn]

i believe this file is normally autogenerated. was this a manual change?

[tvalentyn]

cc: @jrmccluskey -- anything to watch out for here regarding your work on deprecating apitools?