[AutoPR track2_azure-mgmt-machinelearningservices] Add idleShutdownSetting to Compute Instances

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

@@ -0,0 +1,11 @@
+{
+  "autorest": "3.7.2",
+  "use": [
+    "@autorest/[email protected]",
+    "@autorest/[email protected]"
+  ],
+  "commit": "d3f9727599e1259ac01d0a309c3e6306efe07c66",
+  "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 --python3-only --use=@autorest/[email protected] --use=@autorest/[email protected] --version=3.7.2",
+  "readme": "specification/machinelearningservices/resource-manager/readme.md"
+}

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

@@ -10,10 +10,14 @@
 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__ = ['AzureMachineLearningWorkspaces']
+__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

@@ -6,49 +6,51 @@
 # 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):
+class AzureMachineLearningWorkspacesConfiguration(Configuration):  # pylint: disable=too-many-instance-attributes
     """Configuration for AzureMachineLearningWorkspaces.
 
     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.
     :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
+    :keyword api_version: Api Version. Default value is "2022-06-01-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
+        credential: "TokenCredential",
+        subscription_id: str,
+        **kwargs: Any
+    ) -> None:
+        super(AzureMachineLearningWorkspacesConfiguration, self).__init__(**kwargs)
+        api_version = kwargs.pop('api_version', "2022-06-01-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.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)
@@ -68,4 +70,4 @@ 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)

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

@@ -0,0 +1,19 @@
+# ------------------------------------
+# 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
+    """

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

@@ -0,0 +1,27 @@
+# --------------------------------------------------------------------------
+# Copyright (c) Microsoft Corporation. All rights reserved.
+# Licensed under the MIT License. See License.txt in the project root for license information.
+# Code generated by Microsoft (R) AutoRest Code Generator.
+# Changes may cause incorrect behavior and will be lost if the code is regenerated.
+# --------------------------------------------------------------------------
+
+from azure.core.pipeline.transport import HttpRequest
+
+def _convert_request(request, files=None):
+    data = request.content if not files else None
+    request = HttpRequest(method=request.method, url=request.url, headers=request.headers, data=data)
+    if files:
+        request.set_formdata_body(files)
+    return request
+
+def _format_url_section(template, **kwargs):
+    components = template.split("/")
+    while components:
+        try:
+            return template.format(**kwargs)
+        except KeyError as key:
+            formatted_components = template.split("/")
+            components = [
+                c for c in formatted_components if "{}".format(key.args[0]) not in c
+            ]
+            template = "/".join(components)

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

@@ -6,4 +6,4 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-VERSION = "1.0.0"
+VERSION = "1.0.0b1"

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

@@ -7,4 +7,14 @@
 # --------------------------------------------------------------------------
 
 from ._azure_machine_learning_workspaces import AzureMachineLearningWorkspaces
+
+try:
+    from ._patch import __all__ as _patch_all
+    from ._patch import *  # type: ignore # pylint: disable=unused-wildcard-import
+except ImportError:
+    _patch_all = []
+from ._patch import patch_sdk as _patch_sdk
 __all__ = ['AzureMachineLearningWorkspaces']
+__all__.extend([p for p in _patch_all if p not in __all__])
+
+_patch_sdk()