text: # 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.
  # --------------------------------------------------------------------------
  import functools
  from typing import TYPE_CHECKING
  import warnings
  
  from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
  from azure.core.paging import ItemPaged
  from azure.core.pipeline import PipelineResponse
  from azure.core.pipeline.transport import HttpResponse
  from azure.core.polling import LROPoller, NoPolling, PollingMethod
  from azure.core.polling.base_polling import LROBasePolling
  from azure.core.rest import HttpRequest
  from azure.core.tracing.decorator import distributed_trace
  from msrest import Serializer
  
  from .. import models as _models
  from .._vendor import _convert_request, _format_url_section
  
  if TYPE_CHECKING:
      # pylint: disable=unused-import,ungrouped-imports
      from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar, Union
      T = TypeVar('T')
      ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]]
  
  _SERIALIZER = Serializer()
  _SERIALIZER.client_side_validation = False
  # fmt: off
  
  def build_create_or_update_data_flow_request_initial(
      data_flow_name,  # type: str
      **kwargs  # type: Any
  ):
      # type: (...) -> HttpRequest
      api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
      content_type = kwargs.pop('content_type', None)  # type: Optional[str]
      if_match = kwargs.pop('if_match', None)  # type: Optional[str]
  
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/dataflows/{dataFlowName}')
      path_format_arguments = {
          "dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
      }
  
      url = _format_url_section(url, **path_format_arguments)
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      if if_match is not None:
          header_parameters['If-Match'] = _SERIALIZER.header("if_match", if_match, 'str')
      if content_type is not None:
          header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="PUT",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  
  def build_get_data_flow_request(
      data_flow_name,  # type: str
      **kwargs  # type: Any
  ):
      # type: (...) -> HttpRequest
      api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
      if_none_match = kwargs.pop('if_none_match', None)  # type: Optional[str]
  
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/dataflows/{dataFlowName}')
      path_format_arguments = {
          "dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
      }
  
      url = _format_url_section(url, **path_format_arguments)
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      if if_none_match is not None:
          header_parameters['If-None-Match'] = _SERIALIZER.header("if_none_match", if_none_match, 'str')
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="GET",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  
  def build_delete_data_flow_request_initial(
      data_flow_name,  # type: str
      **kwargs  # type: Any
  ):
      # type: (...) -> HttpRequest
      api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
  
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/dataflows/{dataFlowName}')
      path_format_arguments = {
          "dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
      }
  
      url = _format_url_section(url, **path_format_arguments)
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="DELETE",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  
  def build_rename_data_flow_request_initial(
      data_flow_name,  # type: str
      **kwargs  # type: Any
  ):
      # type: (...) -> HttpRequest
      api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
      content_type = kwargs.pop('content_type', None)  # type: Optional[str]
  
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/dataflows/{dataFlowName}/rename')
      path_format_arguments = {
          "dataFlowName": _SERIALIZER.url("data_flow_name", data_flow_name, 'str', max_length=260, min_length=1, pattern=r'^[A-Za-z0-9_][^<>*#.%&:\\+?/]*$'),
      }
  
      url = _format_url_section(url, **path_format_arguments)
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      if content_type is not None:
          header_parameters['Content-Type'] = _SERIALIZER.header("content_type", content_type, 'str')
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="POST",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  
  def build_get_data_flows_by_workspace_request(
      **kwargs  # type: Any
  ):
      # type: (...) -> HttpRequest
      api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
  
      accept = "application/json"
      # Construct URL
      url = kwargs.pop("template_url", '/dataflows')
  
      # Construct parameters
      query_parameters = kwargs.pop("params", {})  # type: Dict[str, Any]
      query_parameters['api-version'] = _SERIALIZER.query("api_version", api_version, 'str')
  
      # Construct headers
      header_parameters = kwargs.pop("headers", {})  # type: Dict[str, Any]
      header_parameters['Accept'] = _SERIALIZER.header("accept", accept, 'str')
  
      return HttpRequest(
          method="GET",
          url=url,
          params=query_parameters,
          headers=header_parameters,
          **kwargs
      )
  
  # fmt: on
  class DataFlowOperations(object):
      """DataFlowOperations operations.
  
      You should not instantiate this class directly. Instead, you should create a Client instance that
      instantiates it for you and attaches it as an attribute.
  
      :ivar models: Alias to model classes used in this operation group.
      :type models: ~azure.synapse.artifacts.models
      :param client: Client for service requests.
      :param config: Configuration of service client.
      :param serializer: An object model serializer.
      :param deserializer: An object model deserializer.
      """
  
      models = _models
  
      def __init__(self, client, config, serializer, deserializer):
          self._client = client
          self._serialize = serializer
          self._deserialize = deserializer
          self._config = config
  
      def _create_or_update_data_flow_initial(
          self,
          data_flow_name,  # type: str
          properties,  # type: "_models.DataFlow"
          if_match=None,  # type: Optional[str]
          **kwargs  # type: Any
      ):
          # type: (...) -> Optional["_models.DataFlowResource"]
          cls = kwargs.pop('cls', None)  # type: ClsType[Optional["_models.DataFlowResource"]]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
  
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
          content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
  
          _data_flow = _models.DataFlowResource(properties=properties)
          _json = self._serialize.body(_data_flow, 'DataFlowResource')
  
          request = build_create_or_update_data_flow_request_initial(
              data_flow_name=data_flow_name,
              api_version=api_version,
              content_type=content_type,
              json=_json,
              if_match=if_match,
              template_url=self._create_or_update_data_flow_initial.metadata['url'],
          )
          request = _convert_request(request)
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
          request.url = self._client.format_url(request.url, **path_format_arguments)
  
          pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
          response = pipeline_response.http_response
  
          if response.status_code not in [200, 202]:
              map_error(status_code=response.status_code, response=response, error_map=error_map)
              raise HttpResponseError(response=response)
  
          deserialized = None
          if response.status_code == 200:
              deserialized = self._deserialize('DataFlowResource', pipeline_response)
  
          if cls:
              return cls(pipeline_response, deserialized, {})
  
          return deserialized
  
      _create_or_update_data_flow_initial.metadata = {'url': '/dataflows/{dataFlowName}'}  # type: ignore
  
  
      @distributed_trace
      def begin_create_or_update_data_flow(
          self,
          data_flow_name,  # type: str
          properties,  # type: "_models.DataFlow"
          if_match=None,  # type: Optional[str]
          **kwargs  # type: Any
      ):
          # type: (...) -> LROPoller["_models.DataFlowResource"]
          """Creates or updates a data flow.
  
          :param data_flow_name: The data flow name.
          :type data_flow_name: str
          :param properties: Data flow properties.
          :type properties: ~azure.synapse.artifacts.models.DataFlow
          :param if_match: ETag of the data flow entity. Should only be specified for update, for which
           it should match existing entity or can be * for unconditional update.
          :type if_match: str
          :keyword api_version: Api Version. The default value is "2020-12-01". Note that overriding this
           default value may result in unsupported behavior.
          :paramtype api_version: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :keyword str continuation_token: A continuation token to restart a poller from a saved state.
          :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
           this operation to not poll, or pass in your own initialized polling object for a personal
           polling strategy.
          :paramtype polling: bool or ~azure.core.polling.PollingMethod
          :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
           Retry-After header is present.
          :return: An instance of LROPoller that returns either DataFlowResource or the result of
           cls(response)
          :rtype: ~azure.core.polling.LROPoller[~azure.synapse.artifacts.models.DataFlowResource]
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
          content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
          polling = kwargs.pop('polling', True)  # type: Union[bool, azure.core.polling.PollingMethod]
          cls = kwargs.pop('cls', None)  # type: ClsType["_models.DataFlowResource"]
          lro_delay = kwargs.pop(
              'polling_interval',
              self._config.polling_interval
          )
          cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
          if cont_token is None:
              raw_result = self._create_or_update_data_flow_initial(
                  data_flow_name=data_flow_name,
                  properties=properties,
                  if_match=if_match,
                  api_version=api_version,
                  content_type=content_type,
                  cls=lambda x,y,z: x,
                  **kwargs
              )
          kwargs.pop('error_map', None)
  
          def get_long_running_output(pipeline_response):
              response = pipeline_response.http_response
              deserialized = self._deserialize('DataFlowResource', pipeline_response)
              if cls:
                  return cls(pipeline_response, deserialized, {})
              return deserialized
  
  
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
  
          if polling is True: polling_method = LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
          elif polling is False: polling_method = NoPolling()
          else: polling_method = polling
          if cont_token:
              return LROPoller.from_continuation_token(
                  polling_method=polling_method,
                  continuation_token=cont_token,
                  client=self._client,
                  deserialization_callback=get_long_running_output
              )
          else:
              return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
  
      begin_create_or_update_data_flow.metadata = {'url': '/dataflows/{dataFlowName}'}  # type: ignore
  
      @distributed_trace
      def get_data_flow(
          self,
          data_flow_name,  # type: str
          if_none_match=None,  # type: Optional[str]
          **kwargs  # type: Any
      ):
          # type: (...) -> "_models.DataFlowResource"
          """Gets a data flow.
  
          :param data_flow_name: The data flow name.
          :type data_flow_name: str
          :param if_none_match: ETag of the data flow entity. Should only be specified for get. If the
           ETag matches the existing entity tag, or if * was provided, then no content will be returned.
          :type if_none_match: str
          :keyword api_version: Api Version. The default value is "2020-12-01". Note that overriding this
           default value may result in unsupported behavior.
          :paramtype api_version: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :return: DataFlowResource, or the result of cls(response)
          :rtype: ~azure.synapse.artifacts.models.DataFlowResource
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          cls = kwargs.pop('cls', None)  # type: ClsType["_models.DataFlowResource"]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
  
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
  
          
          request = build_get_data_flow_request(
              data_flow_name=data_flow_name,
              api_version=api_version,
              if_none_match=if_none_match,
              template_url=self.get_data_flow.metadata['url'],
          )
          request = _convert_request(request)
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
          request.url = self._client.format_url(request.url, **path_format_arguments)
  
          pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
          response = pipeline_response.http_response
  
          if response.status_code not in [200]:
              map_error(status_code=response.status_code, response=response, error_map=error_map)
              error = self._deserialize.failsafe_deserialize(_models.CloudErrorAutoGenerated, pipeline_response)
              raise HttpResponseError(response=response, model=error)
  
          deserialized = self._deserialize('DataFlowResource', pipeline_response)
  
          if cls:
              return cls(pipeline_response, deserialized, {})
  
          return deserialized
  
      get_data_flow.metadata = {'url': '/dataflows/{dataFlowName}'}  # type: ignore
  
  
      def _delete_data_flow_initial(
          self,
          data_flow_name,  # type: str
          **kwargs  # type: Any
      ):
          # type: (...) -> None
          cls = kwargs.pop('cls', None)  # type: ClsType[None]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
  
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
  
          
          request = build_delete_data_flow_request_initial(
              data_flow_name=data_flow_name,
              api_version=api_version,
              template_url=self._delete_data_flow_initial.metadata['url'],
          )
          request = _convert_request(request)
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
          request.url = self._client.format_url(request.url, **path_format_arguments)
  
          pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
          response = pipeline_response.http_response
  
          if response.status_code not in [200, 202, 204]:
              map_error(status_code=response.status_code, response=response, error_map=error_map)
              raise HttpResponseError(response=response)
  
          if cls:
              return cls(pipeline_response, None, {})
  
      _delete_data_flow_initial.metadata = {'url': '/dataflows/{dataFlowName}'}  # type: ignore
  
  
      @distributed_trace
      def begin_delete_data_flow(
          self,
          data_flow_name,  # type: str
          **kwargs  # type: Any
      ):
          # type: (...) -> LROPoller[None]
          """Deletes a data flow.
  
          :param data_flow_name: The data flow name.
          :type data_flow_name: str
          :keyword api_version: Api Version. The default value is "2020-12-01". Note that overriding this
           default value may result in unsupported behavior.
          :paramtype api_version: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :keyword str continuation_token: A continuation token to restart a poller from a saved state.
          :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
           this operation to not poll, or pass in your own initialized polling object for a personal
           polling strategy.
          :paramtype polling: bool or ~azure.core.polling.PollingMethod
          :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
           Retry-After header is present.
          :return: An instance of LROPoller that returns either None or the result of cls(response)
          :rtype: ~azure.core.polling.LROPoller[None]
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
          polling = kwargs.pop('polling', True)  # type: Union[bool, azure.core.polling.PollingMethod]
          cls = kwargs.pop('cls', None)  # type: ClsType[None]
          lro_delay = kwargs.pop(
              'polling_interval',
              self._config.polling_interval
          )
          cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
          if cont_token is None:
              raw_result = self._delete_data_flow_initial(
                  data_flow_name=data_flow_name,
                  api_version=api_version,
                  cls=lambda x,y,z: x,
                  **kwargs
              )
          kwargs.pop('error_map', None)
  
          def get_long_running_output(pipeline_response):
              if cls:
                  return cls(pipeline_response, None, {})
  
  
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
  
          if polling is True: polling_method = LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
          elif polling is False: polling_method = NoPolling()
          else: polling_method = polling
          if cont_token:
              return LROPoller.from_continuation_token(
                  polling_method=polling_method,
                  continuation_token=cont_token,
                  client=self._client,
                  deserialization_callback=get_long_running_output
              )
          else:
              return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
  
      begin_delete_data_flow.metadata = {'url': '/dataflows/{dataFlowName}'}  # type: ignore
  
      def _rename_data_flow_initial(
          self,
          data_flow_name,  # type: str
          new_name=None,  # type: Optional[str]
          **kwargs  # type: Any
      ):
          # type: (...) -> None
          cls = kwargs.pop('cls', None)  # type: ClsType[None]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
  
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
          content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
  
          _request = _models.ArtifactRenameRequest(new_name=new_name)
          _json = self._serialize.body(_request, 'ArtifactRenameRequest')
  
          request = build_rename_data_flow_request_initial(
              data_flow_name=data_flow_name,
              api_version=api_version,
              content_type=content_type,
              json=_json,
              template_url=self._rename_data_flow_initial.metadata['url'],
          )
          request = _convert_request(request)
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
          request.url = self._client.format_url(request.url, **path_format_arguments)
  
          pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
          response = pipeline_response.http_response
  
          if response.status_code not in [200, 202]:
              map_error(status_code=response.status_code, response=response, error_map=error_map)
              raise HttpResponseError(response=response)
  
          if cls:
              return cls(pipeline_response, None, {})
  
      _rename_data_flow_initial.metadata = {'url': '/dataflows/{dataFlowName}/rename'}  # type: ignore
  
  
      @distributed_trace
      def begin_rename_data_flow(
          self,
          data_flow_name,  # type: str
          new_name=None,  # type: Optional[str]
          **kwargs  # type: Any
      ):
          # type: (...) -> LROPoller[None]
          """Renames a dataflow.
  
          :param data_flow_name: The data flow name.
          :type data_flow_name: str
          :param new_name: New name of the artifact.
          :type new_name: str
          :keyword api_version: Api Version. The default value is "2020-12-01". Note that overriding this
           default value may result in unsupported behavior.
          :paramtype api_version: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :keyword str continuation_token: A continuation token to restart a poller from a saved state.
          :keyword polling: By default, your polling method will be LROBasePolling. Pass in False for
           this operation to not poll, or pass in your own initialized polling object for a personal
           polling strategy.
          :paramtype polling: bool or ~azure.core.polling.PollingMethod
          :keyword int polling_interval: Default waiting time between two polls for LRO operations if no
           Retry-After header is present.
          :return: An instance of LROPoller that returns either None or the result of cls(response)
          :rtype: ~azure.core.polling.LROPoller[None]
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
          content_type = kwargs.pop('content_type', "application/json")  # type: Optional[str]
          polling = kwargs.pop('polling', True)  # type: Union[bool, azure.core.polling.PollingMethod]
          cls = kwargs.pop('cls', None)  # type: ClsType[None]
          lro_delay = kwargs.pop(
              'polling_interval',
              self._config.polling_interval
          )
          cont_token = kwargs.pop('continuation_token', None)  # type: Optional[str]
          if cont_token is None:
              raw_result = self._rename_data_flow_initial(
                  data_flow_name=data_flow_name,
                  new_name=new_name,
                  api_version=api_version,
                  content_type=content_type,
                  cls=lambda x,y,z: x,
                  **kwargs
              )
          kwargs.pop('error_map', None)
  
          def get_long_running_output(pipeline_response):
              if cls:
                  return cls(pipeline_response, None, {})
  
  
          path_format_arguments = {
              "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
          }
  
          if polling is True: polling_method = LROBasePolling(lro_delay, path_format_arguments=path_format_arguments, **kwargs)
          elif polling is False: polling_method = NoPolling()
          else: polling_method = polling
          if cont_token:
              return LROPoller.from_continuation_token(
                  polling_method=polling_method,
                  continuation_token=cont_token,
                  client=self._client,
                  deserialization_callback=get_long_running_output
              )
          else:
              return LROPoller(self._client, raw_result, get_long_running_output, polling_method)
  
      begin_rename_data_flow.metadata = {'url': '/dataflows/{dataFlowName}/rename'}  # type: ignore
  
      @distributed_trace
      def get_data_flows_by_workspace(
          self,
          **kwargs  # type: Any
      ):
          # type: (...) -> Iterable["_models.DataFlowListResponse"]
          """Lists data flows.
  
          :keyword api_version: Api Version. The default value is "2020-12-01". Note that overriding this
           default value may result in unsupported behavior.
          :paramtype api_version: str
          :keyword callable cls: A custom type or function that will be passed the direct response
          :return: An iterator like instance of either DataFlowListResponse or the result of
           cls(response)
          :rtype: ~azure.core.paging.ItemPaged[~azure.synapse.artifacts.models.DataFlowListResponse]
          :raises: ~azure.core.exceptions.HttpResponseError
          """
          api_version = kwargs.pop('api_version', "2020-12-01")  # type: str
  
          cls = kwargs.pop('cls', None)  # type: ClsType["_models.DataFlowListResponse"]
          error_map = {
              401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
          }
          error_map.update(kwargs.pop('error_map', {}))
          def prepare_request(next_link=None):
              if not next_link:
                  
                  request = build_get_data_flows_by_workspace_request(
                      api_version=api_version,
                      template_url=self.get_data_flows_by_workspace.metadata['url'],
                  )
                  request = _convert_request(request)
                  path_format_arguments = {
                      "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
                  }
                  request.url = self._client.format_url(request.url, **path_format_arguments)
  
              else:
                  
                  request = build_get_data_flows_by_workspace_request(
                      api_version=api_version,
                      template_url=next_link,
                  )
                  request = _convert_request(request)
                  path_format_arguments = {
                      "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
                  }
                  request.url = self._client.format_url(request.url, **path_format_arguments)
  
                  path_format_arguments = {
                      "endpoint": self._serialize.url("self._config.endpoint", self._config.endpoint, 'str', skip_quote=True),
                  }
                  request.method = "GET"
              return request
  
          def extract_data(pipeline_response):
              deserialized = self._deserialize("DataFlowListResponse", pipeline_response)
              list_of_elem = deserialized.value
              if cls:
                  list_of_elem = cls(list_of_elem)
              return deserialized.next_link or None, iter(list_of_elem)
  
          def get_next(next_link=None):
              request = prepare_request(next_link)
  
              pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
              response = pipeline_response.http_response
  
              if response.status_code not in [200]:
                  map_error(status_code=response.status_code, response=response, error_map=error_map)
                  error = self._deserialize.failsafe_deserialize(_models.CloudErrorAutoGenerated, pipeline_response)
                  raise HttpResponseError(response=response, model=error)
  
              return pipeline_response
  
  
          return ItemPaged(
              get_next, extract_data
          )
      get_data_flows_by_workspace.metadata = {'url': '/dataflows'}  # type: ignore
  