[AutoRelease] t2-machinelearningcompute-2021-05-14-14426(wave4)

sdk/machinelearning/azure-mgmt-machinelearningcompute/CHANGELOG.md

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+# Release History
+
+## 1.0.0b1 (2021-05-13)
+
+This is beta preview version.
+
+This version uses a next-generation code generator that introduces important breaking changes, but also important new features (like unified authentication and async programming).
+
+**General breaking changes**
+
+- Credential system has been completly revamped:
+
+  - `azure.common.credentials` or `msrestazure.azure_active_directory` instances are no longer supported, use the `azure-identity` classes instead: https://pypi.org/project/azure-identity/
+  - `credentials` parameter has been renamed `credential`
+
+- The `config` attribute no longer exists on a client, configuration should be passed as kwarg. Example: `MyClient(credential, subscription_id, enable_logging=True)`. For a complete set of
+  supported options, see the [parameters accept in init documentation of azure-core](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/core/azure-core/CLIENT_LIBRARY_DEVELOPER.md#available-policies)
+- You can't import a `version` module anymore, use `__version__` instead
+- Operations that used to return a `msrest.polling.LROPoller` now returns a `azure.core.polling.LROPoller` and are prefixed with `begin_`.
+- Exceptions tree have been simplified and most exceptions are now `azure.core.exceptions.HttpResponseError` (`CloudError` has been removed).
+- Most of the operation kwarg have changed. Some of the most noticeable:
+
+  - `raw` has been removed. Equivalent feature can be found using `cls`, a callback that will give access to internal HTTP response for advanced user
+  - For a complete set of
+  supported options, see the [parameters accept in Request documentation of azure-core](https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/core/azure-core/CLIENT_LIBRARY_DEVELOPER.md#available-policies)
+
+**General new features**
+
+- Type annotations support using `typing`. SDKs are mypy ready.
+- This client has now stable and official support for async. Check the `aio` namespace of your package to find the async client.
+- This client now support natively tracing library like OpenCensus or OpenTelemetry. See this [tracing quickstart](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/core/azure-core-tracing-opentelemetry) for an overview.
+
+## 0.4.1 (2018-05-29)
+
+**Bugfixes**
+
+  - Compatibility of the sdist with wheel 0.31.0
+  - msrestazure dependency version range
+
+## 0.4.0 (2018-01-02)
+
+**Features**
+
+  - Delete all resources associated with cluster with the optional
+    deleteAll paramater.
+
+## 0.3.0 (2017-10-25)
+
+**Features**
+
+  - ACS orchestrator properties property is now optional.
+
+## 0.2.0 (2017-10-17)
+
+**Features**
+
+  - Kubernetes orchestrator service principal property is now optional.
+
+## 0.1.0 (2017-09-22)
+
+**Features**
+
+  - Initial private preview release.
+

sdk/machinelearning/azure-mgmt-machinelearningcompute/MANIFEST.in

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+include _meta.json
+recursive-include tests *.py *.yaml
+include *.md
+include azure/__init__.py
+include azure/mgmt/__init__.py
+

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

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+# Microsoft Azure SDK for Python
+
+This is the Microsoft Azure Machinelearningcompute Management Client Library.
+This package has been tested with Python 2.7, 3.5, 3.6, 3.7 and 3.8.
+For a more complete view of Azure libraries, see the [azure sdk python release](https://aka.ms/azsdk/python/all).
+
+
+# Usage
+
+
+To learn how to use this package, see the [quickstart guide](https://aka.ms/azsdk/python/mgmt)
+
+
+
+For docs and references, see [Python SDK References](https://docs.microsoft.com/python/api/overview/azure/)
+Code samples for this package can be found at [Machinelearningcompute Management](https://docs.microsoft.com/samples/browse/?languages=python&term=Getting%20started%20-%20Managing&terms=Getting%20started%20-%20Managing) on docs.microsoft.com.
+Additional code samples for different Azure services are available at [Samples Repo](https://aka.ms/azsdk/python/mgmt/samples)
+
+
+# Provide Feedback
+
+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-machinelearningcompute%2FREADME.png)

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

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+{
+  "autorest": "3.4.2",
+  "use": "@autorest/python@5.6.6",
+  "commit": "3f1d9a2fd7d79c0e10cca4a4750a00e725ddc541",
+  "repository_url": "https://github.com/Azure/azure-rest-api-specs",
+  "autorest_command": "autorest specification/machinelearningcompute/resource-manager/readme.md --multiapi --python --python-mode=update --python-sdks-folder=/home/vsts/work/1/s/azure-sdk-for-python/sdk --track2 --use=@autorest/python@5.6.6 --version=3.4.2",
+  "readme": "specification/machinelearningcompute/resource-manager/readme.md"
+}

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

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+__path__ = __import__('pkgutil').extend_path(__path__, __name__)

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

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+__path__ = __import__('pkgutil').extend_path(__path__, __name__)

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

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+# coding=utf-8
+# --------------------------------------------------------------------------
+# 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 ._machine_learning_compute_management_client import MachineLearningComputeManagementClient
+from ._version import VERSION
+
+__version__ = VERSION
+__all__ = ['MachineLearningComputeManagementClient']
+
+try:
+    from ._patch import patch_sdk  # type: ignore
+    patch_sdk()
+except ImportError:
+    pass

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

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+# coding=utf-8
+# --------------------------------------------------------------------------
+# 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 typing import TYPE_CHECKING
+
+from azure.core.configuration import Configuration
+from azure.core.pipeline import policies
+from azure.mgmt.core.policies import 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 MachineLearningComputeManagementClientConfiguration(Configuration):
+    """Configuration for MachineLearningComputeManagementClient.
+
+    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: The Azure subscription ID.
+    :type subscription_id: str
+    """
+
+    def __init__(
+        self,
+        credential,  # type: "TokenCredential"
+        subscription_id,  # type: str
+        **kwargs  # type: Any
+    ):
+        # type: (...) -> None
+        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(MachineLearningComputeManagementClientConfiguration, self).__init__(**kwargs)
+
+        self.credential = credential
+        self.subscription_id = subscription_id
+        self.api_version = "2017-08-01-preview"
+        self.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
+        kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningcompute/{}'.format(VERSION))
+        self._configure(**kwargs)
+
+    def _configure(
+        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')
+        if self.credential and not self.authentication_policy:
+            self.authentication_policy = policies.BearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs)

sdk/machinelearning/azure-mgmt-machinelearningcompute/azure/mgmt/machinelearningcompute/_machine_learning_compute_management_client.py

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+# coding=utf-8
+# --------------------------------------------------------------------------
+# 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 typing import TYPE_CHECKING
+
+from azure.mgmt.core import ARMPipelineClient
+from msrest import Deserializer, Serializer
+
+if TYPE_CHECKING:
+    # pylint: disable=unused-import,ungrouped-imports
+    from typing import Any, Optional
+
+    from azure.core.credentials import TokenCredential
+    from azure.core.pipeline.transport import HttpRequest, HttpResponse
+
+from ._configuration import MachineLearningComputeManagementClientConfiguration
+from .operations import OperationalizationClustersOperations
+from .operations import MachineLearningComputeOperations
+from . import models
+
+
+class MachineLearningComputeManagementClient(object):
+    """These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations::code:`<ul><li>Create or update a cluster</li><li>Get a cluster</li><li>Patch a cluster</li><li>Delete a cluster</li><li>Get keys for a cluster</li><li>Check if updates are available for system services in a cluster</li><li>Update system services in a cluster</li><li>Get all clusters in a resource group</li><li>Get all clusters in a subscription</li></ul>`.
+
+    :ivar operationalization_clusters: OperationalizationClustersOperations operations
+    :vartype operationalization_clusters: azure.mgmt.machinelearningcompute.operations.OperationalizationClustersOperations
+    :ivar machine_learning_compute: MachineLearningComputeOperations operations
+    :vartype machine_learning_compute: azure.mgmt.machinelearningcompute.operations.MachineLearningComputeOperations
+    :param credential: Credential needed for the client to connect to Azure.
+    :type credential: ~azure.core.credentials.TokenCredential
+    :param subscription_id: The Azure subscription ID.
+    :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.
+    """
+
+    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 = MachineLearningComputeManagementClientConfiguration(credential, 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.operationalization_clusters = OperationalizationClustersOperations(
+            self._client, self._config, self._serialize, self._deserialize)
+        self.machine_learning_compute = MachineLearningComputeOperations(
+            self._client, self._config, self._serialize, self._deserialize)
+
+    def _send_request(self, http_request, **kwargs):
+        # type: (HttpRequest, Any) -> HttpResponse
+        """Runs the network request through the client's chained policies.
+
+        :param http_request: The network request you want to make. Required.
+        :type http_request: ~azure.core.pipeline.transport.HttpRequest
+        :keyword bool stream: Whether the response payload will be streamed. Defaults to True.
+        :return: The response of your network call. Does not do error handling on your response.
+        :rtype: ~azure.core.pipeline.transport.HttpResponse
+        """
+        path_format_arguments = {
+            'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
+        }
+        http_request.url = self._client.format_url(http_request.url, **path_format_arguments)
+        stream = kwargs.pop("stream", True)
+        pipeline_response = self._client._pipeline.run(http_request, stream=stream, **kwargs)
+        return pipeline_response.http_response
+
+    def close(self):
+        # type: () -> None
+        self._client.close()
+
+    def __enter__(self):
+        # type: () -> MachineLearningComputeManagementClient
+        self._client.__enter__()
+        return self
+
+    def __exit__(self, *exc_details):
+        # type: (Any) -> None
+        self._client.__exit__(*exc_details)