Batch Samples

[wiboris]

Description

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• The pull request does not introduce [breaking changes]
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[Copilot]

Pull request overview

This pull request adds several new Azure Batch Python sample/snippet files under sdk/batch/azure-batch/samples/, seemingly extracted from Batch documentation articles to demonstrate common scenarios (quick run, pools, autoscale, containers, SIG images, etc.).

Changes:

• Added multiple new snippet-style sample scripts for Azure Batch scenarios.
• Introduced sample code for pool configuration variants (endpoint configuration, ephemeral OS disk, container workloads, SIG images).
• Added a quick-run and parallel-processing tutorial sample.

Reviewed changes

Copilot reviewed 9 out of 9 changed files in this pull request and generated 12 comments.

Show a summary per file

File	Description
sdk/batch/azure-batch/samples/tutorial_parallel_python.py	Adds parallel processing tutorial snippet (Batch + Storage) with pool/job/task helpers.
sdk/batch/azure-batch/samples/quick_run_python.py	Adds “quick run” snippet for creating pool/job/tasks and viewing task output.
sdk/batch/azure-batch/samples/pool_endpoint_configuration.py	Adds snippets demonstrating inbound NAT pool endpoint configuration allow/deny rules.
sdk/batch/azure-batch/samples/create_pool_ephemeral_os_disk.py	Adds snippet for configuring an ephemeral OS disk on a pool VM configuration.
sdk/batch/azure-batch/samples/batch_user_accounts.py	Adds snippets for task auto-user and pool user accounts.
sdk/batch/azure-batch/samples/batch_sig_images.py	Adds snippet demonstrating pool creation using Azure Compute Gallery (SIG) image reference.
sdk/batch/azure-batch/samples/batch_linux_nodes.py	Adds snippets for Linux pool creation, supported image selection, and SSH user creation.
sdk/batch/azure-batch/samples/batch_docker_container_workloads.py	Adds snippets for container workloads (no prefetch / Docker Hub / ACR) and container task settings.
sdk/batch/azure-batch/samples/batch_automatic_scaling.py	Adds snippet for creating a pool and enabling autoscale with a formula.