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[AutoRelease] t2-datafactory-2022-10-09-06495(Do not merge) (Azure#26717)
* code and test * Update CHANGELOG.md * Update _version.py * Update CHANGELOG.md Co-authored-by: PythonSdkPipelines <PythonSdkPipelines> Co-authored-by: Yuchao Yan <yuchaoyan@microsoft.com> Co-authored-by: zhenbiao wei <424401670@qq.com>
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‎sdk/datafactory/azure-mgmt-datafactory/CHANGELOG.md‎

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# Release History
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## 2.8.1 (2022-10-17)
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### Other Changes
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- Changed type of stored_procedure_parameters to json-like object
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## 2.8.0 (2022-09-13)
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### Features Added

‎sdk/datafactory/azure-mgmt-datafactory/MANIFEST.in‎

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

‎sdk/datafactory/azure-mgmt-datafactory/_meta.json‎

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{
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"autorest": "3.8.4",
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"autorest": "3.9.2",
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"use": [
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"@autorest/python@6.1.4",
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"@autorest/modelerfour@4.23.5"
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"@autorest/python@6.1.9",
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"@autorest/modelerfour@4.24.3"
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],
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"commit": "f729f12bb95b4515b51ded20aab2f728551053b6",
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"commit": "35388d90dfe0dfb8ef0f43cecaf9dc960fbc917e",
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"repository_url": "https://github.com/Azure/azure-rest-api-specs",
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"autorest_command": "autorest specification/datafactory/resource-manager/readme.md --python --python-sdks-folder=/home/vsts/work/1/azure-sdk-for-python/sdk --use=@autorest/python@6.1.4 --use=@autorest/modelerfour@4.23.5 --version=3.8.4 --version-tolerant=False",
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"autorest_command": "autorest specification/datafactory/resource-manager/readme.md --python --python-sdks-folder=/home/vsts/work/1/azure-sdk-for-python/sdk --use=@autorest/python@6.1.9 --use=@autorest/modelerfour@4.24.3 --version=3.9.2 --version-tolerant=False",
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"readme": "specification/datafactory/resource-manager/readme.md"
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}

‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/_version.py‎

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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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VERSION = "2.8.0"
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VERSION = "2.8.1"

‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/aio/operations/_activity_runs_operations.py‎

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HttpResponseError,
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ResourceExistsError,
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ResourceNotFoundError,
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ResourceNotModifiedError,
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map_error,
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)
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from azure.core.pipeline import PipelineResponse
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:rtype: ~azure.mgmt.datafactory.models.ActivityRunsQueryResponse
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:raises ~azure.core.exceptions.HttpResponseError:
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"""
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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401: ClientAuthenticationError,
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}
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error_map.update(kwargs.pop("error_map", {}) or {})
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_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})

‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/aio/operations/_data_flow_debug_session_operations.py‎

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HttpResponseError,
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ResourceExistsError,
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ResourceNotFoundError,
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ResourceNotModifiedError,
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map_error,
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)
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from azure.core.pipeline import PipelineResponse
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request: Union[_models.CreateDataFlowDebugSessionRequest, IO],
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**kwargs: Any
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) -> Optional[_models.CreateDataFlowDebugSessionResponse]:
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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401: ClientAuthenticationError,
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404: ResourceNotFoundError,
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}
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error_map.update(kwargs.pop("error_map", {}) or {})
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_headers = case_insensitive_dict(kwargs.pop("headers", {}) or {})
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api_version = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) # type: str
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cls = kwargs.pop("cls", None) # type: ClsType[_models.QueryDataFlowDebugSessionsResponse]
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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401: ClientAuthenticationError,
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}
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def prepare_request(next_link=None):
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:rtype: ~azure.mgmt.datafactory.models.AddDataFlowToDebugSessionResponse
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:raises ~azure.core.exceptions.HttpResponseError:
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"""
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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}
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:rtype: None
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:raises ~azure.core.exceptions.HttpResponseError:
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"""
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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}
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request: Union[_models.DataFlowDebugCommandRequest, IO],
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error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
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error_map = {
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}
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‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/aio/operations/_data_flows_operations.py‎

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HttpResponseError,
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ResourceExistsError,
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ResourceNotModifiedError,
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map_error,
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)
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from azure.core.pipeline import PipelineResponse
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:rtype: ~azure.mgmt.datafactory.models.DataFlowResource
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"""
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"""
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api_version = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) # type: str
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error_map = {
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def prepare_request(next_link=None):

‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/aio/operations/_datasets_operations.py‎

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from azure.core.pipeline import PipelineResponse
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api_version = kwargs.pop("api_version", _params.pop("api-version", self._config.api_version)) # type: str
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error_map = {
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}
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‎sdk/datafactory/azure-mgmt-datafactory/azure/mgmt/datafactory/aio/operations/_exposure_control_operations.py‎

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from azure.core.pipeline import PipelineResponse
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:rtype: ~azure.mgmt.datafactory.models.ExposureControlResponse
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