[ReleasePR track2_azure-mgmt-machinelearningservices] Update MFE property descriptions to indicate if the property is required

sdk/machinelearning/azure-mgmt-machinelearningservices/_meta.json

@@ -0,0 +1,11 @@
+{
+  "autorest": "3.7.2",
+  "use": [
+    "@autorest/python@5.12.0",
+    "@autorest/modelerfour@4.19.3"
+  ],
+  "commit": "16a50699c70e8e86765dd46b84a9185067debfa7",
+  "repository_url": "https://github.com/Azure/azure-rest-api-specs",
+  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --multiapi --python --python-mode=update --python-sdks-folder=/home/vsts/work/1/s/azure-sdk-for-python/sdk --python3-only --track2 --use=@autorest/python@5.12.0 --use=@autorest/modelerfour@4.19.3 --version=3.7.2",
+  "readme": "specification/machinelearningservices/resource-manager/readme.md"
+}

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/__init__.py

@@ -12,8 +12,7 @@
 __version__ = VERSION
 __all__ = ['AzureMachineLearningWorkspaces']
 
-try:
-    from ._patch import patch_sdk  # type: ignore
-    patch_sdk()
-except ImportError:
-    pass
+# `._patch.py` is used for handwritten extensions to the generated code
+# Example: https://github.com/Azure/azure-sdk-for-python/blob/main/doc/dev/customize_code/how-to-patch-sdk-code.md
+from ._patch import patch_sdk
+patch_sdk()

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_azure_machine_learning_workspaces.py

@@ -6,106 +6,113 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-from typing import TYPE_CHECKING
+from copy import deepcopy
+from typing import Any, Optional, TYPE_CHECKING
 
+from azure.core.rest import HttpRequest, HttpResponse
 from azure.mgmt.core import ARMPipelineClient
 from msrest import Deserializer, Serializer
 
+from . import models
+from ._configuration import AzureMachineLearningWorkspacesConfiguration
+from .operations import ComputeOperations, Operations, PrivateEndpointConnectionsOperations, PrivateLinkResourcesOperations, QuotasOperations, UsagesOperations, VirtualMachineSizesOperations, WorkspaceConnectionsOperations, WorkspaceFeaturesOperations, WorkspaceSkusOperations, WorkspacesOperations
+
 if TYPE_CHECKING:
     # pylint: disable=unused-import,ungrouped-imports
-    from typing import Any, Optional
-
     from azure.core.credentials import TokenCredential
 
-from ._configuration import AzureMachineLearningWorkspacesConfiguration
-from .operations import Operations
-from .operations import WorkspacesOperations
-from .operations import WorkspaceFeaturesOperations
-from .operations import NotebooksOperations
-from .operations import UsagesOperations
-from .operations import VirtualMachineSizesOperations
-from .operations import QuotasOperations
-from .operations import WorkspaceConnectionsOperations
-from .operations import MachineLearningComputeOperations
-from .operations import AzureMachineLearningWorkspacesOperationsMixin
-from .operations import PrivateEndpointConnectionsOperations
-from .operations import PrivateLinkResourcesOperations
-from . import models
-
-
-class AzureMachineLearningWorkspaces(AzureMachineLearningWorkspacesOperationsMixin):
+class AzureMachineLearningWorkspaces:
     """These APIs allow end users to operate on Azure Machine Learning Workspace resources.
 
     :ivar operations: Operations operations
-    :vartype operations: azure.mgmt.machinelearningservices.operations.Operations
+    :vartype operations: azure_machine_learning_workspaces.operations.Operations
     :ivar workspaces: WorkspacesOperations operations
-    :vartype workspaces: azure.mgmt.machinelearningservices.operations.WorkspacesOperations
-    :ivar workspace_features: WorkspaceFeaturesOperations operations
-    :vartype workspace_features: azure.mgmt.machinelearningservices.operations.WorkspaceFeaturesOperations
-    :ivar notebooks: NotebooksOperations operations
-    :vartype notebooks: azure.mgmt.machinelearningservices.operations.NotebooksOperations
+    :vartype workspaces: azure_machine_learning_workspaces.operations.WorkspacesOperations
     :ivar usages: UsagesOperations operations
-    :vartype usages: azure.mgmt.machinelearningservices.operations.UsagesOperations
+    :vartype usages: azure_machine_learning_workspaces.operations.UsagesOperations
     :ivar virtual_machine_sizes: VirtualMachineSizesOperations operations
-    :vartype virtual_machine_sizes: azure.mgmt.machinelearningservices.operations.VirtualMachineSizesOperations
+    :vartype virtual_machine_sizes:
+     azure_machine_learning_workspaces.operations.VirtualMachineSizesOperations
     :ivar quotas: QuotasOperations operations
-    :vartype quotas: azure.mgmt.machinelearningservices.operations.QuotasOperations
-    :ivar workspace_connections: WorkspaceConnectionsOperations operations
-    :vartype workspace_connections: azure.mgmt.machinelearningservices.operations.WorkspaceConnectionsOperations
-    :ivar machine_learning_compute: MachineLearningComputeOperations operations
-    :vartype machine_learning_compute: azure.mgmt.machinelearningservices.operations.MachineLearningComputeOperations
+    :vartype quotas: azure_machine_learning_workspaces.operations.QuotasOperations
+    :ivar compute: ComputeOperations operations
+    :vartype compute: azure_machine_learning_workspaces.operations.ComputeOperations
     :ivar private_endpoint_connections: PrivateEndpointConnectionsOperations operations
-    :vartype private_endpoint_connections: azure.mgmt.machinelearningservices.operations.PrivateEndpointConnectionsOperations
+    :vartype private_endpoint_connections:
+     azure_machine_learning_workspaces.operations.PrivateEndpointConnectionsOperations
     :ivar private_link_resources: PrivateLinkResourcesOperations operations
-    :vartype private_link_resources: azure.mgmt.machinelearningservices.operations.PrivateLinkResourcesOperations
+    :vartype private_link_resources:
+     azure_machine_learning_workspaces.operations.PrivateLinkResourcesOperations
+    :ivar workspace_connections: WorkspaceConnectionsOperations operations
+    :vartype workspace_connections:
+     azure_machine_learning_workspaces.operations.WorkspaceConnectionsOperations
+    :ivar workspace_features: WorkspaceFeaturesOperations operations
+    :vartype workspace_features:
+     azure_machine_learning_workspaces.operations.WorkspaceFeaturesOperations
+    :ivar workspace_skus: WorkspaceSkusOperations operations
+    :vartype workspace_skus: azure_machine_learning_workspaces.operations.WorkspaceSkusOperations
     :param credential: Credential needed for the client to connect to Azure.
     :type credential: ~azure.core.credentials.TokenCredential
-    :param subscription_id: Azure subscription identifier.
+    :param subscription_id: The ID of the target subscription.
     :type subscription_id: str
-    :param str base_url: Service URL
-    :keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
+    :param base_url: Service URL. Default value is 'https://management.azure.com'.
+    :type base_url: str
+    :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
+     Retry-After header is present.
     """
 
     def __init__(
         self,
-        credential,  # type: "TokenCredential"
-        subscription_id,  # type: str
-        base_url=None,  # type: Optional[str]
-        **kwargs  # type: Any
-    ):
-        # type: (...) -> None
-        if not base_url:
-            base_url = 'https://management.azure.com'
-        self._config = AzureMachineLearningWorkspacesConfiguration(credential, subscription_id, **kwargs)
+        credential: "TokenCredential",
+        subscription_id: str,
+        base_url: str = "https://management.azure.com",
+        **kwargs: Any
+    ) -> None:
+        self._config = AzureMachineLearningWorkspacesConfiguration(credential=credential, subscription_id=subscription_id, **kwargs)
         self._client = ARMPipelineClient(base_url=base_url, config=self._config, **kwargs)
 
         client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
         self._serialize = Serializer(client_models)
-        self._serialize.client_side_validation = False
         self._deserialize = Deserializer(client_models)
+        self._serialize.client_side_validation = False
+        self.operations = Operations(self._client, self._config, self._serialize, self._deserialize)
+        self.workspaces = WorkspacesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.usages = UsagesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.virtual_machine_sizes = VirtualMachineSizesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.quotas = QuotasOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.compute = ComputeOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.private_endpoint_connections = PrivateEndpointConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.private_link_resources = PrivateLinkResourcesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.workspace_connections = WorkspaceConnectionsOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.workspace_features = WorkspaceFeaturesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.workspace_skus = WorkspaceSkusOperations(self._client, self._config, self._serialize, self._deserialize)
+
+
+    def _send_request(
+        self,
+        request,  # type: HttpRequest
+        **kwargs: Any
+    ) -> HttpResponse:
+        """Runs the network request through the client's chained policies.
+
+        >>> from azure.core.rest import HttpRequest
+        >>> request = HttpRequest("GET", "https://www.example.org/")
+        <HttpRequest [GET], url: 'https://www.example.org/'>
+        >>> response = client._send_request(request)
+        <HttpResponse: 200 OK>
+
+        For more information on this code flow, see https://aka.ms/azsdk/python/protocol/quickstart
+
+        :param request: The network request you want to make. Required.
+        :type request: ~azure.core.rest.HttpRequest
+        :keyword bool stream: Whether the response payload will be streamed. Defaults to False.
+        :return: The response of your network call. Does not do error handling on your response.
+        :rtype: ~azure.core.rest.HttpResponse
+        """
 
-        self.operations = Operations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.workspaces = WorkspacesOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.workspace_features = WorkspaceFeaturesOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.notebooks = NotebooksOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.usages = UsagesOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.virtual_machine_sizes = VirtualMachineSizesOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.quotas = QuotasOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.workspace_connections = WorkspaceConnectionsOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.machine_learning_compute = MachineLearningComputeOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.private_endpoint_connections = PrivateEndpointConnectionsOperations(
-            self._client, self._config, self._serialize, self._deserialize)
-        self.private_link_resources = PrivateLinkResourcesOperations(
-            self._client, self._config, self._serialize, self._deserialize)
+        request_copy = deepcopy(request)
+        request_copy.url = self._client.format_url(request_copy.url)
+        return self._client.send_request(request_copy, **kwargs)
 
     def close(self):
         # type: () -> None

sdk/machinelearning/azure-mgmt-machinelearningservices/azure/mgmt/machinelearningservices/_configuration.py

@@ -6,18 +6,16 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-from typing import TYPE_CHECKING
+from typing import Any, TYPE_CHECKING
 
 from azure.core.configuration import Configuration
 from azure.core.pipeline import policies
-from azure.mgmt.core.policies import ARMHttpLoggingPolicy
+from azure.mgmt.core.policies import ARMChallengeAuthenticationPolicy, ARMHttpLoggingPolicy
 
 from ._version import VERSION
 
 if TYPE_CHECKING:
     # pylint: disable=unused-import,ungrouped-imports
-    from typing import Any
-
     from azure.core.credentials import TokenCredential
 
 
@@ -29,26 +27,25 @@ class AzureMachineLearningWorkspacesConfiguration(Configuration):
 
     :param credential: Credential needed for the client to connect to Azure.
     :type credential: ~azure.core.credentials.TokenCredential
-    :param subscription_id: Azure subscription identifier.
+    :param subscription_id: The ID of the target subscription.
     :type subscription_id: str
     """
 
     def __init__(
         self,
-        credential,  # type: "TokenCredential"
-        subscription_id,  # type: str
-        **kwargs  # type: Any
-    ):
-        # type: (...) -> None
+        credential: "TokenCredential",
+        subscription_id: str,
+        **kwargs: Any
+    ) -> None:
+        super(AzureMachineLearningWorkspacesConfiguration, self).__init__(**kwargs)
         if credential is None:
             raise ValueError("Parameter 'credential' must not be None.")
         if subscription_id is None:
             raise ValueError("Parameter 'subscription_id' must not be None.")
-        super(AzureMachineLearningWorkspacesConfiguration, self).__init__(**kwargs)
 
         self.credential = credential
         self.subscription_id = subscription_id
-        self.api_version = "2020-08-01"
+        self.api_version = "2021-07-01"
         self.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
         kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION))
         self._configure(**kwargs)
@@ -68,4 +65,4 @@ def _configure(
         self.redirect_policy = kwargs.get('redirect_policy') or policies.RedirectPolicy(**kwargs)
         self.authentication_policy = kwargs.get('authentication_policy')
         if self.credential and not self.authentication_policy:
-            self.authentication_policy = policies.BearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs)
+            self.authentication_policy = ARMChallengeAuthenticationPolicy(self.credential, *self.credential_scopes, **kwargs)