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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 msrest.service_client import ServiceClient
from msrest import Serializer, Deserializer
from msrestazure import AzureConfiguration
from .version import VERSION
from .operations.operationalization_clusters_operations import OperationalizationClustersOperations
from .operations.machine_learning_compute_operations import MachineLearningComputeOperations
from . import models
class MachineLearningComputeManagementClientConfiguration(AzureConfiguration):
"""Configuration for MachineLearningComputeManagementClient
Note that all parameters used to create this instance are saved as instance
attributes.
:param credentials: Credentials needed for the client to connect to Azure.
:type credentials: :mod:`A msrestazure Credentials
object<msrestazure.azure_active_directory>`
:param subscription_id: The Azure subscription ID.
:type subscription_id: str
:param str base_url: Service URL
"""
def __init__(
self, credentials, subscription_id, base_url=None):
if credentials is None:
raise ValueError("Parameter 'credentials' must not be None.")
if subscription_id is None:
raise ValueError("Parameter 'subscription_id' must not be None.")
if not base_url:
base_url = 'https://management.azure.com'
super(MachineLearningComputeManagementClientConfiguration, self).__init__(base_url)
self.add_user_agent('azure-mgmt-machinelearningcompute/{}'.format(VERSION))
self.add_user_agent('Azure-SDK-For-Python')
self.credentials = credentials
self.subscription_id = subscription_id
class MachineLearningComputeManagementClient(object):
"""These APIs allow end users to operate on Azure Machine Learning Compute resources. They support the following operations:<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 config: Configuration for client.
:vartype config: MachineLearningComputeManagementClientConfiguration
:ivar operationalization_clusters: OperationalizationClusters operations
:vartype operationalization_clusters: azure.mgmt.machinelearningcompute.operations.OperationalizationClustersOperations
:ivar machine_learning_compute: MachineLearningCompute operations
:vartype machine_learning_compute: azure.mgmt.machinelearningcompute.operations.MachineLearningComputeOperations
:param credentials: Credentials needed for the client to connect to Azure.
:type credentials: :mod:`A msrestazure Credentials
object<msrestazure.azure_active_directory>`
:param subscription_id: The Azure subscription ID.
:type subscription_id: str
:param str base_url: Service URL
"""
def __init__(
self, credentials, subscription_id, base_url=None):
self.config = MachineLearningComputeManagementClientConfiguration(credentials, subscription_id, base_url)
self._client = ServiceClient(self.config.credentials, self.config)
client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
self.api_version = '2017-08-01-preview'
self._serialize = Serializer(client_models)
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)
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