original_docstring: Updates information in an existing dataset. The update method replaces
      the entire dataset resource, whereas the patch method only replaces fields
      that are provided in the submitted dataset resource. This method supports
      patch semantics.
  
      Args:
        projectId: Project ID of the dataset being updated
        datasetId: Dataset ID of the dataset being updated
  
      Flags:
        dataset: A Dataset resource to be passed as the request body.
      
docstring: Updates information in an existing dataset. The update method replaces
  the entire dataset resource, whereas the patch method only replaces fields
  that are provided in the submitted dataset resource. This method supports
  patch semantics.
docstring_tokens: Updates information in an existing dataset . The update method replaces the entire dataset resource whereas the patch method only replaces fields that are provided in the submitted dataset resource . This method supports patch semantics .
code: def RunWithArgs(self, projectId, datasetId):
      """Updates information in an existing dataset. The update method replaces
      the entire dataset resource, whereas the patch method only replaces fields
      that are provided in the submitted dataset resource. This method supports
      patch semantics.
  
      Args:
        projectId: Project ID of the dataset being updated
        datasetId: Dataset ID of the dataset being updated
  
      Flags:
        dataset: A Dataset resource to be passed as the request body.
      """
      client = GetClientFromFlags()
      global_params = GetGlobalParamsFromFlags()
      request = messages.BigqueryDatasetsPatchRequest(
          projectId=projectId.decode('utf8'),
          datasetId=datasetId.decode('utf8'),
          )
      if FLAGS['dataset'].present:
        request.dataset = apitools_base.JsonToMessage(messages.Dataset, FLAGS.dataset)
      result = client.datasets.Patch(
          request, global_params=global_params)
      print apitools_base_cli.FormatOutput(result)
code_tokens: def RunWithArgs ( self , projectId , datasetId ) : client = GetClientFromFlags ( ) global_params = GetGlobalParamsFromFlags ( ) request = messages . BigqueryDatasetsPatchRequest ( projectId = projectId . decode ( 'utf8' ) , datasetId = datasetId . decode ( 'utf8' ) , ) if FLAGS [ 'dataset' ] . present : request . dataset = apitools_base . JsonToMessage ( messages . Dataset , FLAGS . dataset ) result = client . datasets . Patch ( request , global_params = global_params ) print apitools_base_cli . FormatOutput ( result )
short_docstring: Updates information in an existing dataset.
short_docstring_tokens: Updates information in an existing dataset .
comment: """Updates information in an existing dataset. The update method replaces
      the entire dataset resource, whereas the patch method only replaces fields
      that are provided in the submitted dataset resource. This method supports
      patch semantics.
  
      Args:
        projectId: Project ID of the dataset being updated
        datasetId: Dataset ID of the dataset being updated
  
      Flags:
        dataset: A Dataset resource to be passed as the request body.
      """