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Updating vm sizes property #15098

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merged 3 commits into from
Jul 10, 2021
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@ac923 ac923 commented Jul 6, 2021

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Changelog

Please ensure to add changelog with this PR by answering the following questions.

  1. What's the purpose of the update?
    • new service onboarding
    • new API version
    • update existing version for new feature
    • update existing version to fix swagger quality issue in s360
    • Other, please clarify
      This is a bug fix for adding the property supportedComputeTypes to the List VM Sizes API. This property was added in the 2020-08-01 version but was not copied over to the later api versions. This PR will update version 2021-04-01 and 2021-01-01 with the new property.
  2. When you are targeting to deploy new service/feature to public regions? Please provide date, or month to public if date is not available yet. N/A
  3. When you expect to publish swagger? Please provide date, or month to public if date is not available yet. N/A
  4. If it's an update to existing version, please select SDKs of specific language and CLIs that require refresh after swagger is published.
    • SDK of .NET (need service team to ensure code readiness)
    • SDK of Python
    • SDK of Java
    • SDK of Js
    • SDK of Go
    • PowerShell
    • CLI
    • Terraform
    • No, no need to refresh for updates in this PR

Contribution checklist:

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ARM API Review Checklist

  • Ensure to check this box if one of the following scenarios meet updates in the PR, so that label “WaitForARMFeedback” will be added automatically to involve ARM API Review. Failure to comply may result in delays for manifest application. Note this does not apply to data plane APIs, all “removals” and “adding a new property” no more require ARM API review.

    • Adding new API(s)
    • Adding a new API version
    • Ensure to copy the existing version into new directory structure for first commit (including refactoring) and then push new changes including version updates in separate commits. This is required to review the changes efficiently.
    • Adding a new service
  • Please ensure you've reviewed following guidelines including ARM resource provider contract and REST guidelines. Estimated time (4 hours). This is required before you can request review from ARM API Review board.

  • If you are blocked on ARM review and want to get the PR merged with urgency, please get the ARM oncall for reviews (RP Manifest Approvers team under Azure Resource Manager service) from IcM and reach out to them.

Breaking Change Review Checklist

If there are following updates in the PR, ensure to request an approval from Breaking Change Review Board as defined in the Breaking Change Policy.

  • Removing API(s) in stable version
  • Removing properties in stable version
  • Removing API version(s) in stable version
  • Updating API in stable or public preview version with Breaking Change Validation errors
  • Updating API(s) in public preview over 1 year (refer to Retirement of Previews)

Action: to initiate an evaluation of the breaking change, create a new intake using the template for breaking changes. Addition details on the process and office hours are on the Breaking change Wiki.

Please follow the link to find more details on PR review process.

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  • Please ensure to do self-check against checklists in first PR comment.
  • PR assignee is the person auto-assigned and responsible for your current PR reviewing and merging.
  • For specs comparison cross API versions, Use API Specs Comparison Report Generator
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    openapi-pipeline-app bot commented Jul 6, 2021

    Swagger Validation Report

    ️❌BreakingChange: 2 Errors, 0 Warnings failed [Detail]
    Rule Message
    1041 - AddedPropertyInResponse The new version has a new property 'supportedComputeTypes' in response that was not found in the old version.
    New: Microsoft.MachineLearningServices/stable/2021-01-01/machineLearningServices.json#L2546:7
    Old: Microsoft.MachineLearningServices/stable/2021-01-01/machineLearningServices.json#L2546:7
    1041 - AddedPropertyInResponse The new version has a new property 'supportedComputeTypes' in response that was not found in the old version.
    New: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L2554:7
    Old: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L2554:7
    ️⚠️LintDiff: 0 Warnings warning [Detail]
    The following errors/warnings exist before current PR submission:

    Only 10 items are listed, please refer to log for more details.

    Rule Message
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3177
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3267
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3348
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3490
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3596
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3636
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3677
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L3704
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L4102
    R2026 - AvoidAnonymousTypes Inline/anonymous models must not be used, instead define a schema with a model name in the 'definitions' section and refer to it. This allows operations to share the models.
    Location: Microsoft.MachineLearningServices/stable/2021-04-01/machineLearningServices.json#L4128
    ️️✔️Avocado succeeded [Detail] [Expand]
    Validation passes for Avocado.
    ️️✔️ModelValidation succeeded [Detail] [Expand]
    Validation passes for ModelValidation.
    ️️✔️SemanticValidation succeeded [Detail] [Expand]
    Validation passes for SemanticValidation.
    ️️✔️Cross-Version Breaking Changes succeeded [Detail] [Expand]
    There are no breaking changes.
    ️️✔️CredScan succeeded [Detail] [Expand]
    There is no credential detected.
    ️⚠️[Staging] SDK Track2 Validation: 0 Warnings warning [Detail]
    The following errors/warnings are introduced by current PR:

    |:speech_balloon: AutorestCore/Exception|"readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-04-01",
    "details":"> Installing AutoRest extension '@microsoft.azure/openapi-validator' (1.8.0)"|
    |:speech_balloon: AutorestCore/Exception|"readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-04-01",
    "details":"> Installed AutoRest extension '@microsoft.azure/openapi-validator' (1.8.0->1.8.0)"|


    The following errors/warnings exist before current PR submission:

    Rule Message
    ⚠️ PreCheck/PropertyRedeclarationWarning "readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-04-01",
    "details":"Schema 'AmlComputeNodesInformation' has a property 'nextLink' that is already declared the parent schema 'ComputeNodesInformation' but isn't significantly different. The property has been removed from AmlComputeNodesInformation"
    ⚠️ PreCheck/PropertyRedeclarationWarning "readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-01-01",
    "details":"Schema 'AmlComputeNodesInformation' has a property 'nextLink' that is already declared the parent schema 'ComputeNodesInformation' but isn't significantly different. The property has been removed from AmlComputeNodesInformation"
    💬 AutorestCore/Exception "readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-04-01",
    "details":"> Loading AutoRest extension '@autorest/modelerfour' (4.15.456->4.15.456)"
    💬 AutorestCore/Exception "readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-01-01",
    "details":"> Loading AutoRest extension '@microsoft.azure/openapi-validator' (1.8.0->1.8.0)"
    💬 AutorestCore/Exception "readme":"machinelearningservices/resource-manager/readme.md",
    "tag":"package-2021-01-01",
    "details":"> Loading AutoRest extension '@autorest/modelerfour' (4.15.456->4.15.456)"
    ️️✔️[Staging] PrettierCheck succeeded [Detail] [Expand]
    Validation passes for PrettierCheck.
    ️️✔️[Staging] SpellCheck succeeded [Detail] [Expand]
    Validation passes for SpellCheck.
    ️️✔️[Staging] Lint(RPaaS) succeeded [Detail] [Expand]
    Validation passes for Lint(RPaaS).
    Posted by Swagger Pipeline | How to fix these errors?

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    openapi-pipeline-app bot commented Jul 6, 2021

    Swagger Generation Artifacts

    ️️✔️[Staging] ApiDocPreview succeeded [Detail] [Expand]
     Please click here to preview with your @microsoft account. 
    ️️✔️[Staging] SDK Breaking Change Tracking succeeded [Detail] [Expand]

    Breaking Changes Tracking

    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2020-04-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2020-03-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2020-01-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2019-11-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2019-06-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2019-05-01/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - machinelearningservices/mgmt/2018-11-19/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - preview/machinelearningservices/mgmt/2021-03-01-preview/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - preview/machinelearningservices/mgmt/2020-02-18-preview/machinelearningservices - v55.5.0
    ️✔️azure-sdk-for-go - preview/machinelearningservices/mgmt/2018-03-01-preview/machinelearningservices - v55.5.0
    ️️✔️ azure-sdk-for-net succeeded [Detail] [Expand]
    ️️✔️ azure-sdk-for-go succeeded [Detail] [Expand]
    • ️✔️Succeeded [Logs]Release - Generate from 5e85541. SDK Automation 14.0.0
      command	sh ./initScript.sh ../../../../../azure-sdk-for-go_tmp/initInput.json ../../../../../azure-sdk-for-go_tmp/initOutput.json
      command	generator automation ../../../../../azure-sdk-for-go_tmp/generateInput.json ../../../../../azure-sdk-for-go_tmp/generateOutput.json
    • ️✔️machinelearningservices/mgmt/2020-04-01/machinelearningservices [View full logs]  [Release SDK Changes]
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2020-03-01/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2020-01-01/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2019-11-01/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2019-06-01/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2019-05-01/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️machinelearningservices/mgmt/2018-11-19/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️preview/machinelearningservices/mgmt/2021-03-01-preview/machinelearningservices [View full logs
      info	[Changelog] This is a new package
    • ️✔️preview/machinelearningservices/mgmt/2020-02-18-preview/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    • ️✔️preview/machinelearningservices/mgmt/2018-03-01-preview/machinelearningservices [View full logs
      info	[Changelog] No exported changes
    ️⚠️ azure-sdk-for-python warning [Detail]
    • ⚠️Warning [Logs]Release - Generate from 5e85541. SDK Automation 14.0.0
      command	sh scripts/automation_init.sh ../azure-sdk-for-python_tmp/initInput.json ../azure-sdk-for-python_tmp/initOutput.json
      cmderr	[automation_init.sh] ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
      cmderr	[automation_init.sh] azure-mgmt-core 1.3.0 requires azure-core<2.0.0,>=1.15.0, but you have azure-core 1.6.0 which is incompatible.
      cmderr	[automation_init.sh] ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
      cmderr	[automation_init.sh] azure-mgmt-core 1.3.0 requires azure-core<2.0.0,>=1.15.0, but you have azure-core 1.6.0 which is incompatible.
      cmderr	[automation_init.sh] WARNING: Skipping azure-nspkg as it is not installed.
      command	sh scripts/automation_generate.sh ../azure-sdk-for-python_tmp/generateInput.json ../azure-sdk-for-python_tmp/generateOutput.json
    • ️✔️azure-mgmt-machinelearningservices [View full logs]  [Release SDK Changes] Breaking Change Detected
      info	[Changelog] **Features**
      info	[Changelog]
      info	[Changelog]   - Model Identity has a new parameter user_assigned_identities
      info	[Changelog]   - Model DataLakeAnalytics has a new parameter disable_local_auth
      info	[Changelog]   - Model ComputeResource has a new parameter sku
      info	[Changelog]   - Model ComputeResource has a new parameter system_data
      info	[Changelog]   - Model Usage has a new parameter aml_workspace_location
      info	[Changelog]   - Model Resource has a new parameter sku
      info	[Changelog]   - Model Resource has a new parameter system_data
      info	[Changelog]   - Model Compute has a new parameter disable_local_auth
      info	[Changelog]   - Model Databricks has a new parameter disable_local_auth
      info	[Changelog]   - Model AmlComputeProperties has a new parameter isolated_network
      info	[Changelog]   - Model AmlComputeProperties has a new parameter enable_node_public_ip
      info	[Changelog]   - Model AmlComputeProperties has a new parameter remote_login_port_public_access
      info	[Changelog]   - Model AmlComputeProperties has a new parameter virtual_machine_image
      info	[Changelog]   - Model AmlComputeProperties has a new parameter os_type
      info	[Changelog]   - Model ListWorkspaceKeysResult has a new parameter notebook_access_keys
      info	[Changelog]   - Model VirtualMachine has a new parameter disable_local_auth
      info	[Changelog]   - Model AmlCompute has a new parameter disable_local_auth
      info	[Changelog]   - Model SslConfiguration has a new parameter overwrite_existing_domain
      info	[Changelog]   - Model SslConfiguration has a new parameter leaf_domain_label
      info	[Changelog]   - Model DatabricksProperties has a new parameter workspace_url
      info	[Changelog]   - Model Workspace has a new parameter image_build_compute
      info	[Changelog]   - Model Workspace has a new parameter sku
      info	[Changelog]   - Model Workspace has a new parameter primary_user_assigned_identity
      info	[Changelog]   - Model Workspace has a new parameter service_managed_resources_settings
      info	[Changelog]   - Model Workspace has a new parameter allow_public_access_when_behind_vnet
      info	[Changelog]   - Model Workspace has a new parameter system_data
      info	[Changelog]   - Model Workspace has a new parameter service_provisioned_resource_group
      info	[Changelog]   - Model Workspace has a new parameter encryption
      info	[Changelog]   - Model Workspace has a new parameter shared_private_link_resources
      info	[Changelog]   - Model Workspace has a new parameter private_link_count
      info	[Changelog]   - Model Workspace has a new parameter hbi_workspace
      info	[Changelog]   - Model Workspace has a new parameter notebook_info
      info	[Changelog]   - Model Workspace has a new parameter tenant_id
      info	[Changelog]   - Model Workspace has a new parameter private_endpoint_connections
      info	[Changelog]   - Model VirtualMachineProperties has a new parameter is_notebook_instance_compute
      info	[Changelog]   - Model AKS has a new parameter disable_local_auth
      info	[Changelog]   - Model WorkspaceUpdateParameters has a new parameter image_build_compute
      info	[Changelog]   - Model WorkspaceUpdateParameters has a new parameter sku
      info	[Changelog]   - Model WorkspaceUpdateParameters has a new parameter primary_user_assigned_identity
      info	[Changelog]   - Model WorkspaceUpdateParameters has a new parameter service_managed_resources_settings
      info	[Changelog]   - Model WorkspaceUpdateParameters has a new parameter identity
      info	[Changelog]   - Model HDInsight has a new parameter disable_local_auth
      info	[Changelog]   - Model VirtualMachineSize has a new parameter supported_compute_types
      info	[Changelog]   - Model VirtualMachineSize has a new parameter estimated_vm_prices
      info	[Changelog]   - Model VirtualMachineSize has a new parameter gpus
      info	[Changelog]   - Model ErrorResponse has a new parameter target
      info	[Changelog]   - Model DataFactory has a new parameter disable_local_auth
      info	[Changelog]   - Model AKSProperties has a new parameter cluster_purpose
      info	[Changelog]   - Model AKSProperties has a new parameter load_balancer_type
      info	[Changelog]   - Model AKSProperties has a new parameter load_balancer_subnet
      info	[Changelog]   - Added operation MachineLearningComputeOperations.stop
      info	[Changelog]   - Added operation MachineLearningComputeOperations.start
      info	[Changelog]   - Added operation MachineLearningComputeOperations.restart
      info	[Changelog]   - Added operation WorkspacesOperations.list_notebook_access_token
      info	[Changelog]   - Added operation group NotebooksOperations
      info	[Changelog]   - Added operation group PrivateEndpointConnectionsOperations
      info	[Changelog]   - Added operation group PrivateLinkResourcesOperations
      info	[Changelog]   - Added operation group WorkspaceConnectionsOperations
      info	[Changelog]   - Added operation group WorkspaceFeaturesOperations
      info	[Changelog]   - Added operation group MachineLearningServiceOperations
      info	[Changelog]   - Added operation group StorageAccountOperations
      info	[Changelog]   - Added operation group QuotasOperations
      info	[Changelog]   - Added operation group WorkspaceOperations
      info	[Changelog]
      info	[Changelog] **Breaking changes**
      info	[Changelog]
      info	[Changelog]   - Parameter name of model Operation is now required
      info	[Changelog]   - Operation MachineLearningComputeOperations.list_by_workspace has a new signature
      info	[Changelog]   - Operation WorkspacesOperations.list_by_subscription has a new signature
      info	[Changelog]   - Operation WorkspacesOperations.list_by_resource_group has a new signature
      info	[Changelog]   - Model Workspace no longer has parameter creation_time
      info	[Changelog]   - Model AmlComputeNodeInformation has a new signature
    ️⚠️ azure-sdk-for-java warning [Detail]
    • ⚠️Warning [Logs]Release - Generate from 5e85541. SDK Automation 14.0.0
      command	./eng/mgmt/automation/init.sh ../azure-sdk-for-java_tmp/initInput.json ../azure-sdk-for-java_tmp/initOutput.json
      command	./eng/mgmt/automation/generate.py ../azure-sdk-for-java_tmp/generateInput.json ../azure-sdk-for-java_tmp/generateOutput.json
      cmderr	[generate.py] 2021-07-10 10:11:14 INFO [VERSION][Found] current version "com.azure.resourcemanager:azure-resourcemanager-machinelearningservices;1.0.0-beta.1;1.0.0-beta.2"
      cmderr	[generate.py] 2021-07-10 10:11:14 INFO [VERSION][Not Found] cannot find stable version, current version "1.0.0-beta.2"
      cmderr	[generate.py] 2021-07-10 10:11:14 INFO autorest --version=3.1.3 --use=@autorest/[email protected] --java.azure-libraries-for-java-folder=/home/vsts/work/1/s/azure-sdk-for-java --java.output-folder=/home/vsts/work/1/s/azure-sdk-for-java/sdk/machinelearningservices/azure-resourcemanager-machinelearningservices --java.namespace=com.azure.resourcemanager.machinelearningservices   --java --pipeline.modelerfour.additional-checks=false --pipeline.modelerfour.lenient-model-deduplication=true --azure-arm --verbose --sdk-integration --fluent=lite --java.fluent=lite --java.license-header=MICROSOFT_MIT_SMALL  ../azure-rest-api-specs/specification/machinelearningservices/resource-manager/readme.md
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [CI][Skip] ci.yml already has module azure-resourcemanager-machinelearningservices
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Process] dealing with pom.xml
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Skip] pom already has module azure-resourcemanager-machinelearningservices
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Success] Write to pom.xml
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Process] dealing with root pom
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Skip] pom already has module sdk/machinelearningservices
      cmderr	[generate.py] 2021-07-10 10:11:56 INFO [POM][Success] Write to root pom
    • ️✔️azure-resourcemanager-machinelearningservices [View full logs]  [Release SDK Changes]
      cmderr	[Inst] 2021-07-10 10:13:55 DEBUG Got artifact_id: azure-resourcemanager-machinelearningservices
      cmderr	[Inst] 2021-07-10 10:13:55 DEBUG Got artifact: pom.xml
      cmderr	[Inst] 2021-07-10 10:13:55 DEBUG Got artifact: azure-resourcemanager-machinelearningservices-1.0.0-beta.2.jar
      cmderr	[Inst] 2021-07-10 10:13:55 DEBUG Match jar package: azure-resourcemanager-machinelearningservices-1.0.0-beta.2.jar
      cmderr	[Inst] 2021-07-10 10:13:55 DEBUG output: {"full": "```sh\ncurl -L \"https://portal.azure-devex-tools.com/api/sdk-dl-pub?p=Azure/15098/azure-sdk-for-java/azure-resourcemanager-machinelearningservices/azure-resourcemanager-machinelearningservices-1.0.0-beta.2.jar\" -o azure-resourcemanager-machinelearningservices-1.0.0-beta.2.jar\nmvn install:install-file -DgroupId=com.azure.resourcemanager -DartifactId=azure-resourcemanager-machinelearningservices -Dversion=1.0.0-beta.0 -Dfile=azure-resourcemanager-machinelearningservices-1.0.0-beta.2.jar -Dpackaging=jar -DgeneratePom=true
      ```"}
    ️️✔️ azure-sdk-for-js succeeded [Detail] [Expand]
    • ️✔️Succeeded [Logs]Release - Generate from 5e85541. SDK Automation 14.0.0
      warn	Skip initScript due to not configured
      command	autorest --version=V2 --typescript --license-header=MICROSOFT_MIT_NO_VERSION [email protected]/[email protected] --typescript-sdks-folder=/home/vsts/work/1/s/azure-sdk-for-js/azure-sdk-for-js ../../azure-rest-api-specs/specification/machinelearningservices/resource-manager/readme.md
    • ️✔️@azure/arm-machinelearningservices [View full logs]  [Release SDK Changes]
      cmderr	[npmPack] loaded rollup.config.js with warnings
      cmderr	[npmPack] (!) Unused external imports
      cmderr	[npmPack] default imported from external module 'rollup' but never used
      cmderr	[npmPack] ./esm/azureMachineLearningWorkspaces.js → ./dist/arm-machinelearningservices.js...
      cmderr	[npmPack] created ./dist/arm-machinelearningservices.js in 687ms
    ️️✔️ azure-cli-extensions succeeded [Detail] [Expand]
    • ️✔️Succeeded [Logs]Release - Generate from 5e85541. Azure CLI Automation 14.0.0
      Only show 120 items here, please refer to log for details.
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelEnvironmentDefinitionResponse-python' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelEnvironmentDefinitionResponse-docker' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelEnvironmentDefinitionResponse-spark' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelEnvironmentDefinitionResponse-r' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelDockerSection-baseImageRegistry' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ModelDockerSectionResponse-baseImageRegistry' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSReplicaStatus-error' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceResponse-dataCollection' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceResponse-autoScaler' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceResponse-deploymentStatus' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceResponse-livenessProbeRequirements' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceResponse-environmentImageRequest' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'CreateServiceRequest-keys' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'CreateServiceRequest-environmentImageRequest' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ACIServiceCreateRequest-dataCollection' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ACIServiceCreateRequest-vnetConfiguration' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'ACIServiceCreateRequest-encryptionProperties' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceCreateRequest-dataCollection' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceCreateRequest-autoScaler' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/SchemaMissingType): The schema 'AKSServiceCreateRequest-livenessProbeRequirements' with an undefined type and 'allOf'/'anyOf'/'oneOf' is a bit ambigious. This has been auto-corrected to 'type:object'
      cmdout	[Autorest] WARNING (PreCheck/CheckDuplicateSchemas): Checking for duplicate schemas, this could take a (long) while.  Run with --verbose for more detail.
      cmdout	[Autorest] WARNING (PreCheck/PropertyRedeclarationWarning): Schema 'AmlComputeNodesInformation' has a property 'nextLink' that is already declared the parent schema 'ComputeNodesInformation' but isn't significantly different. The property has been removed from AmlComputeNodesInformation
      cmdout	[Autorest] WARNING (PreNamer/DeduplicateName): Deduplicating schema name: 'synapse_spark_pool_properties' -> 'synapse_spark_pool_propertiesAutoGenerated'
      cmdout	[Autorest] WARNING (): Operation Update has already existed in group! Skip split!
      cmdout	[Autorest] WARNING (): Operation Update has already existed in group! Skip split!
      cmdout	[Autorest] WARNING (): cli.auto-parameter-hidden is not true, skip visibility cleaner
      cmdout	[Autorest] WARNING: parameter properties has two different references but they have the same flattened name
      cmdout	[Autorest] WARNING: parameter properties has two different references but they have the same flattened name
      cmdout	[Autorest] WARNING: parameter properties has two different references but they have the same flattened name
      cmdout	[Autorest] WARNING: parameter properties has two different references but they have the same flattened name
      cmderr	[Autorest] BELOW TEST SCENARIO SECTION CAN BE USED IN readme.cli.md
      cmderr	[Autorest] --------------------------------------------------------
      cmderr	[Autorest]   test-scenario:
      cmderr	[Autorest]     - name: /Workspaces/put/Create Workspace
      cmderr	[Autorest]     - name: /Workspaces/get/Get Workspace
      cmderr	[Autorest]     - name: /Workspaces/get/Get Workspaces by Resource Group
      cmderr	[Autorest]     - name: /Workspaces/get/Get Workspaces by subscription
      cmderr	[Autorest]     - name: /Workspaces/patch/Update Workspace
      cmderr	[Autorest]     - name: /Workspaces/post/List Workspace Keys
      cmderr	[Autorest]     - name: /Workspaces/post/List Workspace Keys
      cmderr	[Autorest]     - name: /Workspaces/post/Resync Workspace Keys
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create a DataFactory Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/put/Create an ComputeInstance Compute with minimal inputs
      cmderr	[Autorest]     - name: /MachineLearningCompute/get/Get a AKS Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/get/Get a AML Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/get/Get an ComputeInstance
      cmderr	[Autorest]     - name: /MachineLearningCompute/get/Get Computes
      cmderr	[Autorest]     - name: /MachineLearningCompute/patch/Update a AmlCompute Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/post/Get compute nodes information for a compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/post/List AKS Compute Keys
      cmderr	[Autorest]     - name: /MachineLearningCompute/post/Restart ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/post/Start ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/post/Stop ComputeInstance Compute
      cmderr	[Autorest]     - name: /MachineLearningCompute/delete/Delete Compute
      cmderr	[Autorest]     - name: /MachineLearningService/put/Create Or Update service
      cmderr	[Autorest]     - name: /MachineLearningService/get/Get Service
      cmderr	[Autorest]     - name: /MachineLearningService/get/Get Services
      cmderr	[Autorest]     - name: /MachineLearningService/delete/Delete Service
      cmderr	[Autorest]     - name: /Notebooks/post/List Workspace Keys
      cmderr	[Autorest]     - name: /Notebooks/post/Prepare Notebook
      cmderr	[Autorest]     - name: /PrivateEndpointConnections/put/WorkspacePutPrivateEndpointConnection
      cmderr	[Autorest]     - name: /PrivateEndpointConnections/get/WorkspaceGetPrivateEndpointConnection
      cmderr	[Autorest]     - name: /PrivateEndpointConnections/delete/WorkspaceDeletePrivateEndpointConnection
      cmderr	[Autorest]     - name: /PrivateLinkResources/get/WorkspaceListPrivateLinkResources
      cmderr	[Autorest]     - name: /Quotas/get/List workspace quotas by VMFamily
      cmderr	[Autorest]     - name: /Quotas/post/update quotas
      cmderr	[Autorest]     - name: /StorageAccount/post/List Workspace Keys
      cmderr	[Autorest]     - name: /Usages/get/List Usages
      cmderr	[Autorest]     - name: /VirtualMachineSizes/get/List VM Sizes
      cmderr	[Autorest]     - name: /Workspace/get/List Skus
      cmderr	[Autorest]     - name: /WorkspaceConnections/put/CreateWorkspaceConnection
      cmderr	[Autorest]     - name: /WorkspaceConnections/get/GetWorkspaceConnection
      cmderr	[Autorest]     - name: /WorkspaceConnections/get/ListWorkspaceConnections
      cmderr	[Autorest]     - name: /WorkspaceConnections/delete/DeleteWorkspaceConnection
      cmderr	[Autorest]     - name: /WorkspaceFeatures/get/List Workspace features
      cmderr	[Autorest]     - name: /Workspaces/delete/Delete Workspace
      cmderr	[Autorest] --------------------------------------------------------
    • ️✔️machinelearningservices [View full logs]  [Release Azure CLI Changes]
    ️⚠️ azure-resource-manager-schemas warning [Detail]
    • ⚠️Warning [Logs]Release - Generate from 5e85541. Schema Automation 14.0.0
      command	.sdkauto/initScript.sh ../azure-resource-manager-schemas_tmp/initInput.json ../azure-resource-manager-schemas_tmp/initOutput.json
      cmderr	[initScript.sh] WARN old lockfile
      cmderr	[initScript.sh] npm WARN old lockfile The package-lock.json file was created with an old version of npm,
      cmderr	[initScript.sh] npm WARN old lockfile so supplemental metadata must be fetched from the registry.
      cmderr	[initScript.sh] npm WARN old lockfile
      cmderr	[initScript.sh] npm WARN old lockfile This is a one-time fix-up, please be patient...
      cmderr	[initScript.sh] npm WARN old lockfile
      warn	File azure-resource-manager-schemas_tmp/initOutput.json not found to read
      command	.sdkauto/generateScript.sh ../azure-resource-manager-schemas_tmp/generateInput.json ../azure-resource-manager-schemas_tmp/generateOutput.json
    • ️✔️machinelearningservices [View full logs]  [Release Schema Changes]
    Posted by Swagger Pipeline | How to fix these errors?

    @ghost ghost added the customer-reported Issues that are reported by GitHub users external to the Azure organization. label Jul 6, 2021
    @ghost
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    ghost commented Jul 6, 2021

    Thank you for your contribution ac923! We will review the pull request and get back to you soon.

    @openapi-workflow-bot
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    NewApiVersionRequired reason:

    A service’s API is a contract with customers and is represented by using the api-version query parameter. Changes such as adding an optional property to a request/response or introducing a new operation is a change to the service’s contract and therefore requires a new api-version value. This is critically important for documentation, client libraries, and customer support.

    EXAMPLE: if a customer calls a service in the public cloud using api-version=2020-07-27, the new property or operation may exist but if they call the service in a government cloud, air-gapped cloud, or Azure Stack Hub cloud using the same api-version, the property or operation may not exist. Because there is no clear relationship between the service api-version and the new property/operation, customers can’t trust the documentation and Azure customer have difficulty helping customers diagnose issues. In addition, each client library version documents the service version it supports. When an optional property or new operation is added to a service and its Swagger, new client libraries must be produced to expose this functionality to customers. Without updating the api-version, it is unclear to customers which version of a client library supports these new features.

    @openapi-workflow-bot
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    Hi @ac923, one or multiple breaking change(s) is detected in your PR. Please check out the breaking change(s), and provide business justification in the PR comment and @ PR assignee why you must have these change(s), and how external customer impact can be mitigated. Please ensure to follow breaking change policy to request breaking change review and approval before proceeding swagger PR review.
    Action: To initiate an evaluation of the breaking change, create a new intake using the template for breaking changes. Addition details on the process and office hours are on the Breaking change Wiki.
    If you want to know the production traffic statistic, please see ARM Traffic statistic.
    If you think it is false positive breaking change, please provide the reasons in the PR comment, report to Swagger Tooling Team via https://aka.ms/swaggerfeedback.

    @JeffreyRichter JeffreyRichter added the Approved-BreakingChange DO NOT USE! OBSOLETE label. See https://github.com/Azure/azure-sdk-tools/issues/6374 label Jul 10, 2021
    mkarmark pushed a commit to mkarmark/azure-rest-api-specs that referenced this pull request Jul 21, 2021
    * updating vm sizes property
    
    * prettier fix
    
    * prettier fix
    
    Co-authored-by: Aaheli Chattopadhyay <[email protected]>
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    3 participants