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[AutoRelease] t2-machinelearningcompute-2021-05-14-14426(wave4) #18750

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64 changes: 64 additions & 0 deletions 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.

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

27 changes: 27 additions & 0 deletions 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)
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{
"autorest": "3.4.2",
"use": "@autorest/[email protected]",
"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/[email protected] --version=3.4.2",
"readme": "specification/machinelearningcompute/resource-manager/readme.md"
}
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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
# --------------------------------------------------------------------------
# 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
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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)
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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)
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