[AutoPR track2_azure-mgmt-machinelearningservices] Cherry Picking changes from Stable staging Branch

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

@@ -0,0 +1,11 @@
+{
+  "autorest": "3.9.2",
+  "use": [
+    "@autorest/[email protected]",
+    "@autorest/[email protected]"
+  ],
+  "commit": "8af4ba0803dbef1ffb6756925a65a3e85f077ad5",
+  "repository_url": "https://github.com/Azure/azure-rest-api-specs",
+  "autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --python --python-sdks-folder=/mnt/vss/_work/1/s/azure-sdk-for-python/sdk --use=@autorest/[email protected] --use=@autorest/[email protected] --version=3.9.2 --version-tolerant=False",
+  "readme": "specification/machinelearningservices/resource-manager/readme.md"
+}

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

@@ -6,14 +6,19 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-from ._azure_machine_learning_workspaces import AzureMachineLearningWorkspaces
+from ._azure_machine_learning_services import AzureMachineLearningServices
 from ._version import VERSION
 
 __version__ = VERSION
-__all__ = ['AzureMachineLearningWorkspaces']
 
 try:
-    from ._patch import patch_sdk  # type: ignore
-    patch_sdk()
+    from ._patch import __all__ as _patch_all
+    from ._patch import *  # type: ignore # pylint: disable=unused-wildcard-import
 except ImportError:
-    pass
+    _patch_all = []
+from ._patch import patch_sdk as _patch_sdk
+
+__all__ = ["AzureMachineLearningServices"]
+__all__.extend([p for p in _patch_all if p not in __all__])
+
+_patch_sdk()

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

@@ -6,66 +6,64 @@
 # 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
 
 
-class AzureMachineLearningWorkspacesConfiguration(Configuration):
-    """Configuration for AzureMachineLearningWorkspaces.
+class AzureMachineLearningServicesConfiguration(Configuration):  # pylint: disable=too-many-instance-attributes
+    """Configuration for AzureMachineLearningServices.
 
     Note that all parameters used to create this instance are saved as instance
     attributes.
 
-    :param credential: Credential needed for the client to connect to Azure.
+    :param credential: Credential needed for the client to connect to Azure. Required.
     :type credential: ~azure.core.credentials.TokenCredential
-    :param subscription_id: Azure subscription identifier.
+    :param subscription_id: The ID of the target subscription. Required.
     :type subscription_id: str
+    :keyword api_version: Api Version. Default value is "2022-10-01-preview". Note that overriding
+     this default value may result in unsupported behavior.
+    :paramtype api_version: str
     """
 
-    def __init__(
-        self,
-        credential,  # type: "TokenCredential"
-        subscription_id,  # type: str
-        **kwargs  # type: Any
-    ):
-        # type: (...) -> None
+    def __init__(self, credential: "TokenCredential", subscription_id: str, **kwargs: Any) -> None:
+        super(AzureMachineLearningServicesConfiguration, self).__init__(**kwargs)
+        api_version = kwargs.pop("api_version", "2022-10-01-preview")  # type: str
+
         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.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
-        kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION))
+        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._configure(**kwargs)
 
     def _configure(
-        self,
-        **kwargs  # type: Any
+        self, **kwargs  # type: Any
     ):
         # type: (...) -> None
-        self.user_agent_policy = kwargs.get('user_agent_policy') or policies.UserAgentPolicy(**kwargs)
-        self.headers_policy = kwargs.get('headers_policy') or policies.HeadersPolicy(**kwargs)
-        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.authentication_policy = kwargs.get('authentication_policy')
+        self.user_agent_policy = kwargs.get("user_agent_policy") or policies.UserAgentPolicy(**kwargs)
+        self.headers_policy = kwargs.get("headers_policy") or policies.HeadersPolicy(**kwargs)
+        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.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
+            )

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

@@ -0,0 +1,20 @@
+# ------------------------------------
+# Copyright (c) Microsoft Corporation.
+# Licensed under the MIT License.
+# ------------------------------------
+"""Customize generated code here.
+
+Follow our quickstart for examples: https://aka.ms/azsdk/python/dpcodegen/python/customize
+"""
+from typing import List
+
+__all__: List[str] = []  # Add all objects you want publicly available to users at this package level
+
+
+def patch_sdk():
+    """Do not remove from this file.
+
+    `patch_sdk` is a last resort escape hatch that allows you to do customizations
+    you can't accomplish using the techniques described in
+    https://aka.ms/azsdk/python/dpcodegen/python/customize
+    """