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SDKAutoYan Zhang (WICRESOFT NORTH AMERICA LTD)
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CodeGen from PR 14163 in Azure/azure-rest-api-specs
machinelearningcompute wave4 modification (#14163) * machinelearningcompute wave4 modification * machinelearningcompute wave4 * only track2 * 1.0.0b1 Co-authored-by: Yan Zhang (WICRESOFT NORTH AMERICA LTD) <[email protected]>
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# Release History
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## 0.1.0 (1970-01-01)
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* Initial Release
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include _meta.json
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recursive-include tests *.py *.yaml
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include *.md
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include azure/__init__.py
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include azure/mgmt/__init__.py
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# Microsoft Azure SDK for Python
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This is the Microsoft Azure MyService Management Client Library.
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This package has been tested with Python 2.7, 3.5, 3.6, 3.7 and 3.8.
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For a more complete view of Azure libraries, see the [azure sdk python release](https://aka.ms/azsdk/python/all).
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# Usage
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To learn how to use this package, see the [quickstart guide](https://aka.ms/azsdk/python/mgmt)
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For docs and references, see [Python SDK References](https://docs.microsoft.com/python/api/overview/azure/)
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Code samples for this package can be found at [MyService Management](https://docs.microsoft.com/samples/browse/?languages=python&term=Getting%20started%20-%20Managing&terms=Getting%20started%20-%20Managing) on docs.microsoft.com.
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Additional code samples for different Azure services are available at [Samples Repo](https://aka.ms/azsdk/python/mgmt/samples)
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# Provide Feedback
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If you encounter any bugs or have suggestions, please file an issue in the
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[Issues](https://github.com/Azure/azure-sdk-for-python/issues)
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section of the project.
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![Impressions](https://azure-sdk-impressions.azurewebsites.net/api/impressions/azure-sdk-for-python%2Fazure-mgmt-machinelearningcompute%2FREADME.png)
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{
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"autorest": "3.4.2",
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"use": "@autorest/[email protected]",
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"commit": "3f1d9a2fd7d79c0e10cca4a4750a00e725ddc541",
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"repository_url": "https://github.com/Azure/azure-rest-api-specs",
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"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/[email protected] --version=3.4.2",
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"readme": "specification/machinelearningcompute/resource-manager/readme.md"
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}
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__path__ = __import__('pkgutil').extend_path(__path__, __name__)
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__path__ = __import__('pkgutil').extend_path(__path__, __name__)
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# coding=utf-8
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# --------------------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License. See License.txt in the project root for license information.
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# Code generated by Microsoft (R) AutoRest Code Generator.
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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
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# --------------------------------------------------------------------------
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from ._machine_learning_compute_management_client import MachineLearningComputeManagementClient
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from ._version import VERSION
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__version__ = VERSION
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__all__ = ['MachineLearningComputeManagementClient']
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try:
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from ._patch import patch_sdk # type: ignore
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patch_sdk()
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except ImportError:
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pass
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# coding=utf-8
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# --------------------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License. See License.txt in the project root for license information.
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# Code generated by Microsoft (R) AutoRest Code Generator.
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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
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# --------------------------------------------------------------------------
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from typing import TYPE_CHECKING
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from azure.core.configuration import Configuration
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from azure.core.pipeline import policies
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from azure.mgmt.core.policies import ARMHttpLoggingPolicy
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from ._version import VERSION
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if TYPE_CHECKING:
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# pylint: disable=unused-import,ungrouped-imports
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from typing import Any
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from azure.core.credentials import TokenCredential
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class MachineLearningComputeManagementClientConfiguration(Configuration):
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"""Configuration for MachineLearningComputeManagementClient.
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Note that all parameters used to create this instance are saved as instance
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attributes.
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:param credential: Credential needed for the client to connect to Azure.
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:type credential: ~azure.core.credentials.TokenCredential
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:param subscription_id: The Azure subscription ID.
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:type subscription_id: str
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"""
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def __init__(
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self,
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credential, # type: "TokenCredential"
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subscription_id, # type: str
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**kwargs # type: Any
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):
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# type: (...) -> None
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if credential is None:
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raise ValueError("Parameter 'credential' must not be None.")
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if subscription_id is None:
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raise ValueError("Parameter 'subscription_id' must not be None.")
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super(MachineLearningComputeManagementClientConfiguration, self).__init__(**kwargs)
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self.credential = credential
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self.subscription_id = subscription_id
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self.api_version = "2017-08-01-preview"
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self.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
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kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningcompute/{}'.format(VERSION))
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self._configure(**kwargs)
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def _configure(
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self,
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**kwargs # type: Any
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):
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# type: (...) -> None
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self.user_agent_policy = kwargs.get('user_agent_policy') or policies.UserAgentPolicy(**kwargs)
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self.headers_policy = kwargs.get('headers_policy') or policies.HeadersPolicy(**kwargs)
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self.proxy_policy = kwargs.get('proxy_policy') or policies.ProxyPolicy(**kwargs)
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self.logging_policy = kwargs.get('logging_policy') or policies.NetworkTraceLoggingPolicy(**kwargs)
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self.http_logging_policy = kwargs.get('http_logging_policy') or ARMHttpLoggingPolicy(**kwargs)
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self.retry_policy = kwargs.get('retry_policy') or policies.RetryPolicy(**kwargs)
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self.custom_hook_policy = kwargs.get('custom_hook_policy') or policies.CustomHookPolicy(**kwargs)
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self.redirect_policy = kwargs.get('redirect_policy') or policies.RedirectPolicy(**kwargs)
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self.authentication_policy = kwargs.get('authentication_policy')
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if self.credential and not self.authentication_policy:
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self.authentication_policy = policies.BearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs)
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# coding=utf-8
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# --------------------------------------------------------------------------
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# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License. See License.txt in the project root for license information.
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# Code generated by Microsoft (R) AutoRest Code Generator.
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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
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# --------------------------------------------------------------------------
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from typing import TYPE_CHECKING
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from azure.mgmt.core import ARMPipelineClient
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from msrest import Deserializer, Serializer
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if TYPE_CHECKING:
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# pylint: disable=unused-import,ungrouped-imports
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from typing import Any, Optional
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from azure.core.credentials import TokenCredential
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from azure.core.pipeline.transport import HttpRequest, HttpResponse
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from ._configuration import MachineLearningComputeManagementClientConfiguration
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from .operations import OperationalizationClustersOperations
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from .operations import MachineLearningComputeOperations
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from . import models
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class MachineLearningComputeManagementClient(object):
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"""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>`.
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:ivar operationalization_clusters: OperationalizationClustersOperations operations
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:vartype operationalization_clusters: azure.mgmt.machinelearningcompute.operations.OperationalizationClustersOperations
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:ivar machine_learning_compute: MachineLearningComputeOperations operations
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:vartype machine_learning_compute: azure.mgmt.machinelearningcompute.operations.MachineLearningComputeOperations
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:param credential: Credential needed for the client to connect to Azure.
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:type credential: ~azure.core.credentials.TokenCredential
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:param subscription_id: The Azure subscription ID.
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:type subscription_id: str
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:param str base_url: Service URL
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:keyword int polling_interval: Default waiting time between two polls for LRO operations if no Retry-After header is present.
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"""
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def __init__(
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self,
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credential, # type: "TokenCredential"
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subscription_id, # type: str
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base_url=None, # type: Optional[str]
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**kwargs # type: Any
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):
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# type: (...) -> None
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if not base_url:
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base_url = 'https://management.azure.com'
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self._config = MachineLearningComputeManagementClientConfiguration(credential, subscription_id, **kwargs)
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self._client = ARMPipelineClient(base_url=base_url, config=self._config, **kwargs)
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client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
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self._serialize = Serializer(client_models)
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self._serialize.client_side_validation = False
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self._deserialize = Deserializer(client_models)
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self.operationalization_clusters = OperationalizationClustersOperations(
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self._client, self._config, self._serialize, self._deserialize)
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self.machine_learning_compute = MachineLearningComputeOperations(
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self._client, self._config, self._serialize, self._deserialize)
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def _send_request(self, http_request, **kwargs):
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# type: (HttpRequest, Any) -> HttpResponse
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"""Runs the network request through the client's chained policies.
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:param http_request: The network request you want to make. Required.
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:type http_request: ~azure.core.pipeline.transport.HttpRequest
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:keyword bool stream: Whether the response payload will be streamed. Defaults to True.
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:return: The response of your network call. Does not do error handling on your response.
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:rtype: ~azure.core.pipeline.transport.HttpResponse
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"""
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path_format_arguments = {
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'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'),
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}
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http_request.url = self._client.format_url(http_request.url, **path_format_arguments)
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stream = kwargs.pop("stream", True)
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pipeline_response = self._client._pipeline.run(http_request, stream=stream, **kwargs)
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return pipeline_response.http_response
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def close(self):
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# type: () -> None
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self._client.close()
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def __enter__(self):
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# type: () -> MachineLearningComputeManagementClient
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self._client.__enter__()
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return self
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def __exit__(self, *exc_details):
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# type: (Any) -> None
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self._client.__exit__(*exc_details)
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{
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"chosen_version": "2017-08-01-preview",
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"total_api_version_list": ["2017-08-01-preview"],
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"client": {
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"name": "MachineLearningComputeManagementClient",
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"filename": "_machine_learning_compute_management_client",
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"description": "These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations::code:`\u003cul\u003e\u003cli\u003eCreate or update a cluster\u003c/li\u003e\u003cli\u003eGet a cluster\u003c/li\u003e\u003cli\u003ePatch a cluster\u003c/li\u003e\u003cli\u003eDelete a cluster\u003c/li\u003e\u003cli\u003eGet keys for a cluster\u003c/li\u003e\u003cli\u003eCheck if updates are available for system services in a cluster\u003c/li\u003e\u003cli\u003eUpdate system services in a cluster\u003c/li\u003e\u003cli\u003eGet all clusters in a resource group\u003c/li\u003e\u003cli\u003eGet all clusters in a subscription\u003c/li\u003e\u003c/ul\u003e`.",
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"base_url": "\u0027https://management.azure.com\u0027",
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"custom_base_url": null,
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"azure_arm": true,
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"has_lro_operations": true,
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"client_side_validation": false,
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"sync_imports": "{\"typing\": {\"azurecore\": {\"azure.core.credentials\": [\"TokenCredential\"]}}, \"regular\": {\"azurecore\": {\"azure.profiles\": [\"KnownProfiles\", \"ProfileDefinition\"], \"azure.profiles.multiapiclient\": [\"MultiApiClientMixin\"], \"msrest\": [\"Deserializer\", \"Serializer\"], \"azure.mgmt.core\": [\"ARMPipelineClient\"]}, \"local\": {\"._configuration\": [\"MachineLearningComputeManagementClientConfiguration\"]}}, \"conditional\": {\"stdlib\": {\"typing\": [\"Any\", \"Optional\"]}, \"azurecore\": {\"azure.core.pipeline.transport\": [\"HttpRequest\", \"HttpResponse\"]}}}",
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"async_imports": "{\"typing\": {\"azurecore\": {\"azure.core.credentials_async\": [\"AsyncTokenCredential\"]}}, \"regular\": {\"azurecore\": {\"azure.profiles\": [\"KnownProfiles\", \"ProfileDefinition\"], \"azure.profiles.multiapiclient\": [\"MultiApiClientMixin\"], \"msrest\": [\"Deserializer\", \"Serializer\"], \"azure.mgmt.core\": [\"AsyncARMPipelineClient\"]}, \"local\": {\"._configuration\": [\"MachineLearningComputeManagementClientConfiguration\"]}}, \"conditional\": {\"stdlib\": {\"typing\": [\"Any\", \"Optional\"]}, \"azurecore\": {\"azure.core.pipeline.transport\": [\"AsyncHttpResponse\", \"HttpRequest\"]}}}"
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},
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"global_parameters": {
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"sync": {
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"credential": {
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"signature": "credential, # type: \"TokenCredential\"",
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"description": "Credential needed for the client to connect to Azure.",
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"docstring_type": "~azure.core.credentials.TokenCredential",
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"required": true
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},
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"subscription_id": {
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"signature": "subscription_id, # type: str",
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"description": "The Azure subscription ID.",
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"docstring_type": "str",
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"required": true
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}
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},
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"async": {
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"credential": {
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"signature": "credential: \"AsyncTokenCredential\",",
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"description": "Credential needed for the client to connect to Azure.",
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"docstring_type": "~azure.core.credentials_async.AsyncTokenCredential",
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"required": true
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},
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"subscription_id": {
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"signature": "subscription_id: str,",
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"description": "The Azure subscription ID.",
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"docstring_type": "str",
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"required": true
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}
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},
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"constant": {
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},
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"call": "credential, subscription_id",
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"service_client_specific": {
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"sync": {
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"api_version": {
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"signature": "api_version=None, # type: Optional[str]",
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"description": "API version to use if no profile is provided, or if missing in profile.",
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"docstring_type": "str",
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"required": false
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},
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"base_url": {
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"signature": "base_url=None, # type: Optional[str]",
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"description": "Service URL",
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"docstring_type": "str",
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"required": false
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},
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"profile": {
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"signature": "profile=KnownProfiles.default, # type: KnownProfiles",
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"description": "A profile definition, from KnownProfiles to dict.",
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"docstring_type": "azure.profiles.KnownProfiles",
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"required": false
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}
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},
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"async": {
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"api_version": {
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"signature": "api_version: Optional[str] = None,",
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"description": "API version to use if no profile is provided, or if missing in profile.",
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"docstring_type": "str",
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"required": false
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},
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"base_url": {
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"signature": "base_url: Optional[str] = None,",
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"description": "Service URL",
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"docstring_type": "str",
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"required": false
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},
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"profile": {
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"signature": "profile: KnownProfiles = KnownProfiles.default,",
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"description": "A profile definition, from KnownProfiles to dict.",
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"docstring_type": "azure.profiles.KnownProfiles",
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"required": false
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}
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}
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}
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},
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"config": {
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"credential": true,
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"credential_scopes": ["https://management.azure.com/.default"],
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"credential_default_policy_type": "BearerTokenCredentialPolicy",
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"credential_default_policy_type_has_async_version": true,
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"credential_key_header_name": null,
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"sync_imports": "{\"regular\": {\"azurecore\": {\"azure.core.configuration\": [\"Configuration\"], \"azure.core.pipeline\": [\"policies\"], \"azure.mgmt.core.policies\": [\"ARMHttpLoggingPolicy\"]}, \"local\": {\"._version\": [\"VERSION\"]}}, \"conditional\": {\"stdlib\": {\"typing\": [\"Any\"]}}, \"typing\": {\"azurecore\": {\"azure.core.credentials\": [\"TokenCredential\"]}}}",
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"async_imports": "{\"regular\": {\"azurecore\": {\"azure.core.configuration\": [\"Configuration\"], \"azure.core.pipeline\": [\"policies\"], \"azure.mgmt.core.policies\": [\"ARMHttpLoggingPolicy\"]}, \"local\": {\".._version\": [\"VERSION\"]}}, \"conditional\": {\"stdlib\": {\"typing\": [\"Any\"]}}, \"typing\": {\"azurecore\": {\"azure.core.credentials_async\": [\"AsyncTokenCredential\"]}}}"
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},
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"operation_groups": {
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"operationalization_clusters": "OperationalizationClustersOperations",
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"machine_learning_compute": "MachineLearningComputeOperations"
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}
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}

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