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CodeGen from PR 21321 in Azure/azure-rest-api-specs
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Update readme.python.md (Azure#21321)
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SDKAuto committed Oct 28, 2022
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11 changes: 11 additions & 0 deletions sdk/machinelearning/azure-mgmt-machinelearningservices/_meta.json
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{
"commit": "e82a24def11ffc98cc263884f9f1742c99f2df5e",
"repository_url": "https://github.com/Azure/azure-rest-api-specs",
"autorest": "3.9.2",
"use": [
"@autorest/python@6.2.1",
"@autorest/modelerfour@4.24.3"
],
"autorest_command": "autorest specification/machinelearningservices/resource-manager/readme.md --generate-sample=True --include-x-ms-examples-original-file=True --python --python-sdks-folder=/mnt/vss/_work/1/s/azure-sdk-for-python/sdk --use=@autorest/python@6.2.1 --use=@autorest/modelerfour@4.24.3 --version=3.9.2 --version-tolerant=False",
"readme": "specification/machinelearningservices/resource-manager/readme.md"
}
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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------

from ._azure_machine_learning_workspaces import AzureMachineLearningWorkspaces
from ._machine_learning_services_mgmt_client import MachineLearningServicesMgmtClient
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__ = [
"MachineLearningServicesMgmtClient",
]
__all__.extend([p for p in _patch_all if p not in __all__])

_patch_sdk()

This file was deleted.

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# Changes may cause incorrect behavior and will be lost if the code is regenerated.
# --------------------------------------------------------------------------

from typing import TYPE_CHECKING
import sys
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 sys.version_info >= (3, 8):
from typing import Literal # pylint: disable=no-name-in-module, ungrouped-imports
else:
from typing_extensions import Literal # type: ignore # pylint: disable=ungrouped-imports

if TYPE_CHECKING:
# pylint: disable=unused-import,ungrouped-imports
from typing import Any

from azure.core.credentials import TokenCredential


class AzureMachineLearningWorkspacesConfiguration(Configuration):
"""Configuration for AzureMachineLearningWorkspaces.
class MachineLearningServicesMgmtClientConfiguration(Configuration): # pylint: disable=too-many-instance-attributes
"""Configuration for MachineLearningServicesMgmtClient.
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.
:param credential: Credential needed for the client to connect to Azure. Required.
:type credential: ~azure.core.credentials.TokenCredential
:param subscription_id: Azure subscription identifier.
:param subscription_id: The ID of the target subscription. Required.
:type subscription_id: str
:keyword api_version: Api Version. Default value is "2022-10-01-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
def __init__(self, credential: "TokenCredential", subscription_id: str, **kwargs: Any) -> None:
super(MachineLearningServicesMgmtClientConfiguration, self).__init__(**kwargs)
api_version = kwargs.pop("api_version", "2022-10-01-preview") # type: Literal["2022-10-01-preview"]

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.credential_scopes = kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
kwargs.setdefault('sdk_moniker', 'mgmt-machinelearningservices/{}'.format(VERSION))
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)

def _configure(
self,
**kwargs # type: Any
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')
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)
self.authentication_policy = ARMChallengeAuthenticationPolicy(
self.credential, *self.credential_scopes, **kwargs
)
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