code: def from_api_repr(cls, resource):
          
          from google.cloud.bigquery import dataset
  
          if (
              "tableReference" not in resource
              or "tableId" not in resource["tableReference"]
          ):
              raise KeyError(
                  "Resource lacks required identity information:"
                  '["tableReference"]["tableId"]'
              )
          project_id = resource["tableReference"]["projectId"]
          table_id = resource["tableReference"]["tableId"]
          dataset_id = resource["tableReference"]["datasetId"]
          dataset_ref = dataset.DatasetReference(project_id, dataset_id)
  
          table = cls(dataset_ref.table(table_id))
          table._properties = resource
  
          return table
docs: Factory: construct a table given its API representation
  
          Args:
              resource (Dict[str, object]):
                  Table resource representation from the API
  
          Returns:
              google.cloud.bigquery.table.Table: Table parsed from ``resource``.
  
          Raises:
              KeyError:
                  If the ``resource`` lacks the key ``'tableReference'``, or if
                  the ``dict`` stored within the key ``'tableReference'`` lacks
                  the keys ``'tableId'``, ``'projectId'``, or ``'datasetId'``.