yapf

workers/securityworker/models_pre_oci.py

@@ -5,10 +5,8 @@ from data.model.image import (get_images_eligible_for_scan, get_image_pk_field,
                               get_max_id_for_sec_scan, get_min_id_for_sec_scan)
 from util.migrate.allocator import yield_random_entries
 
-from workers.securityworker.models_interface import (
-  ScanToken,
-  SecurityWorkerDataInterface
-)
+from workers.securityworker.models_interface import (ScanToken, SecurityWorkerDataInterface)
+
 
 class PreOCIModel(SecurityWorkerDataInterface):
   def candidates_to_scan(self, target_version, start_token=None):
@@ -34,7 +32,7 @@ class PreOCIModel(SecurityWorkerDataInterface):
       return (None, None)
 
     # 4^log10(total) gives us a scalable batch size into the billions.
-    batch_size = int(4 ** log10(max(10, max_id - min_id)))
+    batch_size = int(4**log10(max(10, max_id - min_id)))
 
     # TODO: Once we have a clean shared NamedTuple for Images, send that to the secscan analyzer
     # rather than the database Image itself.
@@ -43,8 +41,7 @@ class PreOCIModel(SecurityWorkerDataInterface):
       get_image_pk_field(),
       batch_size,
       max_id,
-      min_id,
-    )
+      min_id,)
 
     return (iterator, ScanToken(max_id + 1))