code: def from_api_repr(cls, resource, client):
          
          config_resource = resource.get("configuration", {})
          config = LoadJobConfig.from_api_repr(config_resource)
          # A load job requires a destination table.
          dest_config = config_resource["load"]["destinationTable"]
          ds_ref = DatasetReference(dest_config["projectId"], dest_config["datasetId"])
          destination = TableReference(ds_ref, dest_config["tableId"])
          # sourceUris will be absent if this is a file upload.
          source_uris = _helpers._get_sub_prop(config_resource, ["load", "sourceUris"])
          job_ref = _JobReference._from_api_repr(resource["jobReference"])
          job = cls(job_ref, source_uris, destination, client, config)
          job._set_properties(resource)
          return job
docs: Factory:  construct a job given its API representation
  
          .. note:
  
             This method assumes that the project found in the resource matches
             the client's project.
  
          :type resource: dict
          :param resource: dataset job representation returned from the API
  
          :type client: :class:`google.cloud.bigquery.client.Client`
          :param client: Client which holds credentials and project
                         configuration for the dataset.
  
          :rtype: :class:`google.cloud.bigquery.job.LoadJob`
          :returns: Job parsed from ``resource``.