CodeGen from PR 29007 in Azure/azure-rest-api-specs

Merge 365a99211930055ef1c82ef51b1d23b74fcf2616 into dd1b1d0a58a10c4a34f55231c7035c80dd09b746

Author: SDKAuto

sdk/machinelearning/azure-mgmt-machinelearningservices/README.md

@@ -1,7 +1,7 @@
 # Microsoft Azure SDK for Python
 
 This is the Microsoft Azure Machine Learning Services Management Client Library.
-This package has been tested with Python 3.7+.
+This package has been tested with Python 3.8+.
 For a more complete view of Azure libraries, see the [azure sdk python release](https://aka.ms/azsdk/python/all).
 
 ## _Disclaimer_
@@ -12,7 +12,7 @@ _Azure SDK Python packages support for Python 2.7 has ended 01 January 2022. For
 
 ### Prerequisites
 
-- Python 3.7+ is required to use this package.
+- Python 3.8+ is required to use this package.
 - [Azure subscription](https://azure.microsoft.com/free/)
 
 ### Install the package
@@ -59,6 +59,3 @@ Code samples for this package can be found at:
 If you encounter any bugs or have suggestions, please file an issue in the
 [Issues](https://github.com/Azure/azure-sdk-for-python/issues)
 section of the project. 
-
-
-![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fazure-mgmt-machinelearningservices%2FREADME.png)

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

@@ -1,11 +1,11 @@
 {
-  "commit": "c7daa3d35baaaabece0dbc6f731eadbe426973b9",
+  "commit": "edd9229b0db9dadb30a4eca4539757dbd20daafc",
   "repository_url": "https://github.com/Azure/azure-rest-api-specs",
-  "autorest": "3.9.2",
+  "autorest": "3.10.2",
   "use": [
-    "@autorest/python@6.4.12",
-    "@autorest/modelerfour@4.24.3"
+    "@autorest/python@6.13.16",
+    "@autorest/modelerfour@4.27.0"
   ],
-  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --generate-sample=True --include-x-ms-examples-original-file=True --python --python-sdks-folder=/home/vsts/work/1/azure-sdk-for-python/sdk --use=@autorest/python@6.4.12 --use=@autorest/modelerfour@4.24.3 --version=3.9.2 --version-tolerant=False",
+  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --generate-sample=True --include-x-ms-examples-original-file=True --python --python-sdks-folder=/mnt/vss/_work/1/s/azure-sdk-for-python/sdk --use=@autorest/python@6.13.16 --use=@autorest/modelerfour@4.27.0 --version=3.10.2 --version-tolerant=False",
   "readme": "specification/machinelearningservices/resource-manager/readme.md"
 }

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

@@ -8,7 +8,6 @@
 
 from typing import Any, TYPE_CHECKING
 
-from azure.core.configuration import Configuration
 from azure.core.pipeline import policies
 from azure.mgmt.core.policies import ARMChallengeAuthenticationPolicy, ARMHttpLoggingPolicy
 
@@ -19,7 +18,7 @@
     from azure.core.credentials import TokenCredential
 
 
-class MachineLearningServicesMgmtClientConfiguration(Configuration):  # pylint: disable=too-many-instance-attributes
+class MachineLearningServicesMgmtClientConfiguration:  # pylint: disable=too-many-instance-attributes,name-too-long
     """Configuration for MachineLearningServicesMgmtClient.
 
     Note that all parameters used to create this instance are saved as instance
@@ -29,14 +28,13 @@ class MachineLearningServicesMgmtClientConfiguration(Configuration):  # pylint:
     :type credential: ~azure.core.credentials.TokenCredential
     :param subscription_id: The ID of the target subscription. Required.
     :type subscription_id: str
-    :keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
+    :keyword api_version: Api Version. Default value is "2024-04-01". Note that overriding this
      default value may result in unsupported behavior.
     :paramtype api_version: str
     """
 
     def __init__(self, credential: "TokenCredential", subscription_id: str, **kwargs: Any) -> None:
-        super(MachineLearningServicesMgmtClientConfiguration, self).__init__(**kwargs)
-        api_version: str = kwargs.pop("api_version", "2023-04-01")
+        api_version: str = kwargs.pop("api_version", "2024-04-01")
 
         if credential is None:
             raise ValueError("Parameter 'credential' must not be None.")
@@ -48,6 +46,7 @@ def __init__(self, credential: "TokenCredential", subscription_id: str, **kwargs
         self.api_version = api_version
         self.credential_scopes = kwargs.pop("credential_scopes", ["https://management.azure.com/.default"])
         kwargs.setdefault("sdk_moniker", "mgmt-machinelearningservices/{}".format(VERSION))
+        self.polling_interval = kwargs.get("polling_interval", 30)
         self._configure(**kwargs)
 
     def _configure(self, **kwargs: Any) -> None:
@@ -56,9 +55,9 @@ def _configure(self, **kwargs: Any) -> None:
         self.proxy_policy = kwargs.get("proxy_policy") or policies.ProxyPolicy(**kwargs)
         self.logging_policy = kwargs.get("logging_policy") or policies.NetworkTraceLoggingPolicy(**kwargs)
         self.http_logging_policy = kwargs.get("http_logging_policy") or ARMHttpLoggingPolicy(**kwargs)
-        self.retry_policy = kwargs.get("retry_policy") or policies.RetryPolicy(**kwargs)
         self.custom_hook_policy = kwargs.get("custom_hook_policy") or policies.CustomHookPolicy(**kwargs)
         self.redirect_policy = kwargs.get("redirect_policy") or policies.RedirectPolicy(**kwargs)
+        self.retry_policy = kwargs.get("retry_policy") or policies.RetryPolicy(**kwargs)
         self.authentication_policy = kwargs.get("authentication_policy")
         if self.credential and not self.authentication_policy:
             self.authentication_policy = ARMChallengeAuthenticationPolicy(

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

@@ -9,8 +9,10 @@
 from copy import deepcopy
 from typing import Any, TYPE_CHECKING
 
+from azure.core.pipeline import policies
 from azure.core.rest import HttpRequest, HttpResponse
 from azure.mgmt.core import ARMPipelineClient
+from azure.mgmt.core.policies import ARMAutoResourceProviderRegistrationPolicy
 
 from . import models as _models
 from ._configuration import MachineLearningServicesMgmtClientConfiguration
@@ -28,7 +30,14 @@
     DatastoresOperations,
     EnvironmentContainersOperations,
     EnvironmentVersionsOperations,
+    FeaturesOperations,
+    FeaturesetContainersOperations,
+    FeaturesetVersionsOperations,
+    FeaturestoreEntityContainersOperations,
+    FeaturestoreEntityVersionsOperations,
     JobsOperations,
+    ManagedNetworkProvisionsOperations,
+    ManagedNetworkSettingsRuleOperations,
     ModelContainersOperations,
     ModelVersionsOperations,
     OnlineDeploymentsOperations,
@@ -43,6 +52,7 @@
     RegistryComponentContainersOperations,
     RegistryComponentVersionsOperations,
     RegistryDataContainersOperations,
+    RegistryDataReferencesOperations,
     RegistryDataVersionsOperations,
     RegistryEnvironmentContainersOperations,
     RegistryEnvironmentVersionsOperations,
@@ -86,6 +96,12 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar workspace_connections: WorkspaceConnectionsOperations operations
     :vartype workspace_connections:
      azure.mgmt.machinelearningservices.operations.WorkspaceConnectionsOperations
+    :ivar managed_network_settings_rule: ManagedNetworkSettingsRuleOperations operations
+    :vartype managed_network_settings_rule:
+     azure.mgmt.machinelearningservices.operations.ManagedNetworkSettingsRuleOperations
+    :ivar managed_network_provisions: ManagedNetworkProvisionsOperations operations
+    :vartype managed_network_provisions:
+     azure.mgmt.machinelearningservices.operations.ManagedNetworkProvisionsOperations
     :ivar registry_code_containers: RegistryCodeContainersOperations operations
     :vartype registry_code_containers:
      azure.mgmt.machinelearningservices.operations.RegistryCodeContainersOperations
@@ -104,6 +120,9 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar registry_data_versions: RegistryDataVersionsOperations operations
     :vartype registry_data_versions:
      azure.mgmt.machinelearningservices.operations.RegistryDataVersionsOperations
+    :ivar registry_data_references: RegistryDataReferencesOperations operations
+    :vartype registry_data_references:
+     azure.mgmt.machinelearningservices.operations.RegistryDataReferencesOperations
     :ivar registry_environment_containers: RegistryEnvironmentContainersOperations operations
     :vartype registry_environment_containers:
      azure.mgmt.machinelearningservices.operations.RegistryEnvironmentContainersOperations
@@ -146,6 +165,20 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :ivar environment_versions: EnvironmentVersionsOperations operations
     :vartype environment_versions:
      azure.mgmt.machinelearningservices.operations.EnvironmentVersionsOperations
+    :ivar featureset_containers: FeaturesetContainersOperations operations
+    :vartype featureset_containers:
+     azure.mgmt.machinelearningservices.operations.FeaturesetContainersOperations
+    :ivar features: FeaturesOperations operations
+    :vartype features: azure.mgmt.machinelearningservices.operations.FeaturesOperations
+    :ivar featureset_versions: FeaturesetVersionsOperations operations
+    :vartype featureset_versions:
+     azure.mgmt.machinelearningservices.operations.FeaturesetVersionsOperations
+    :ivar featurestore_entity_containers: FeaturestoreEntityContainersOperations operations
+    :vartype featurestore_entity_containers:
+     azure.mgmt.machinelearningservices.operations.FeaturestoreEntityContainersOperations
+    :ivar featurestore_entity_versions: FeaturestoreEntityVersionsOperations operations
+    :vartype featurestore_entity_versions:
+     azure.mgmt.machinelearningservices.operations.FeaturestoreEntityVersionsOperations
     :ivar jobs: JobsOperations operations
     :vartype jobs: azure.mgmt.machinelearningservices.operations.JobsOperations
     :ivar model_containers: ModelContainersOperations operations
@@ -172,7 +205,7 @@ class MachineLearningServicesMgmtClient:  # pylint: disable=client-accepts-api-v
     :type subscription_id: str
     :param base_url: Service URL. Default value is "https://management.azure.com".
     :type base_url: str
-    :keyword api_version: Api Version. Default value is "2023-04-01". Note that overriding this
+    :keyword api_version: Api Version. Default value is "2024-04-01". Note that overriding this
      default value may result in unsupported behavior.
     :paramtype api_version: str
     :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
@@ -189,7 +222,25 @@ def __init__(
         self._config = MachineLearningServicesMgmtClientConfiguration(
             credential=credential, subscription_id=subscription_id, **kwargs
         )
-        self._client: ARMPipelineClient = ARMPipelineClient(base_url=base_url, config=self._config, **kwargs)
+        _policies = kwargs.pop("policies", None)
+        if _policies is None:
+            _policies = [
+                policies.RequestIdPolicy(**kwargs),
+                self._config.headers_policy,
+                self._config.user_agent_policy,
+                self._config.proxy_policy,
+                policies.ContentDecodePolicy(**kwargs),
+                ARMAutoResourceProviderRegistrationPolicy(),
+                self._config.redirect_policy,
+                self._config.retry_policy,
+                self._config.authentication_policy,
+                self._config.custom_hook_policy,
+                self._config.logging_policy,
+                policies.DistributedTracingPolicy(**kwargs),
+                policies.SensitiveHeaderCleanupPolicy(**kwargs) if self._config.redirect_policy else None,
+                self._config.http_logging_policy,
+            ]
+        self._client: ARMPipelineClient = ARMPipelineClient(base_url=base_url, policies=_policies, **kwargs)
 
         client_models = {k: v for k, v in _models.__dict__.items() if isinstance(v, type)}
         self._serialize = Serializer(client_models)
@@ -212,6 +263,12 @@ def __init__(
         self.workspace_connections = WorkspaceConnectionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.managed_network_settings_rule = ManagedNetworkSettingsRuleOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.managed_network_provisions = ManagedNetworkProvisionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.registry_code_containers = RegistryCodeContainersOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
@@ -230,6 +287,9 @@ def __init__(
         self.registry_data_versions = RegistryDataVersionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.registry_data_references = RegistryDataReferencesOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.registry_environment_containers = RegistryEnvironmentContainersOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
@@ -263,6 +323,19 @@ def __init__(
         self.environment_versions = EnvironmentVersionsOperations(
             self._client, self._config, self._serialize, self._deserialize
         )
+        self.featureset_containers = FeaturesetContainersOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.features = FeaturesOperations(self._client, self._config, self._serialize, self._deserialize)
+        self.featureset_versions = FeaturesetVersionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.featurestore_entity_containers = FeaturestoreEntityContainersOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
+        self.featurestore_entity_versions = FeaturestoreEntityVersionsOperations(
+            self._client, self._config, self._serialize, self._deserialize
+        )
         self.jobs = JobsOperations(self._client, self._config, self._serialize, self._deserialize)
         self.model_containers = ModelContainersOperations(
             self._client, self._config, self._serialize, self._deserialize
@@ -280,7 +353,7 @@ def __init__(
             self._client, self._config, self._serialize, self._deserialize
         )
 
-    def _send_request(self, request: HttpRequest, **kwargs: Any) -> HttpResponse:
+    def _send_request(self, request: HttpRequest, *, stream: bool = False, **kwargs: Any) -> HttpResponse:
         """Runs the network request through the client's chained policies.
 
         >>> from azure.core.rest import HttpRequest
@@ -300,7 +373,7 @@ def _send_request(self, request: HttpRequest, **kwargs: Any) -> HttpResponse:
 
         request_copy = deepcopy(request)
         request_copy.url = self._client.format_url(request_copy.url)
-        return self._client.send_request(request_copy, **kwargs)
+        return self._client.send_request(request_copy, stream=stream, **kwargs)  # type: ignore
 
     def close(self) -> None:
         self._client.close()