Add DiskProvisionedIops and DiskProvisionedThroughputMibps pipeline options

[bambadiouf1]

This pull request introduces two new pipeline options for the Google Cloud Dataflow runner across the Python, Java, and Go SDKs. These options allow users to specify provisioned performance for worker VM root disks:

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

Changes by SDK:

Java SDK: Added getters and setters to DataflowPipelineWorkerPoolOptions and updated DataflowPipelineTranslator to pass these values to the worker pool configuration.
Python SDK: Added --disk_provisioned_iops and --disk_provisioned_throughput_mibps to WorkerOptions and updated the internal apiclient to include these fields in the Dataflow environment.
Go SDK: Added flags for both options and updated the dataflowlib job translation logic.

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

More context:
we need to add these pipeline options before submitting this cl: https://critique.corp.google.com/cl/858930428
Issue: #37374

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Summary of Changes

Hello @bambadiouf1, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request enhances Google Cloud Dataflow's capabilities by allowing users to specify detailed performance characteristics for worker VM root disks. By introducing options for provisioned IOPS and throughput, it provides greater control over the underlying infrastructure, which can be crucial for optimizing the performance and cost-efficiency of data processing pipelines. This change is integrated across all supported SDKs, ensuring a consistent experience for developers.

Highlights

• New Pipeline Options: Introduced DiskProvisionedIops and DiskProvisionedThroughputMibps as new pipeline options for Google Cloud Dataflow.
• Cross-SDK Implementation: These new options are implemented across the Python, Java, and Go SDKs, allowing users to specify provisioned performance for worker VM root disks regardless of the SDK used.
• Worker Disk Performance Control: Users can now explicitly set the provisioned IOPS (Input/Output Operations Per Second) and throughput (in MiB/s) for Dataflow worker root disks, offering finer control over job performance.
• Comprehensive Testing: New tests have been added for each SDK to ensure that these options are correctly parsed, translated, and applied to the Dataflow worker pool configuration.

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