Release 1.1.1

Author: nathro

docs/source/conf.py

@@ -23,7 +23,7 @@
 author = "Nathan Rockenbach"
 
 # The full version, including alpha/beta/rc tags
-release = "1.1.1post2"
+release = "1.1.1post3"
 
 
 # -- General configuration ---------------------------------------------------

setup.py

@@ -48,7 +48,7 @@ def generate_datafiles() -> List[Tuple[str, List[str]]]:
 
 setuptools.setup(
     name="AutoTransform",
-    version="1.1.1post2",
+    version="1.1.1post3",
     author="Nathan Rockenbach",
     author_email="[email protected]",
     description="A component based framework for designing automated code modification",

src/python/autotransform/batcher/codeowners.py

@@ -57,7 +57,9 @@ def batch(self, items: Sequence[Item]) -> List[Batch]:
         individual_owners: Dict[str, List[Item]] = {}
         no_owners: List[Item] = []
 
-        with open(self.codeowners_location, mode="r", encoding="UTF-8") as codeowners_file:
+        with open(
+            self.codeowners_location, mode="r", encoding="UTF-8"
+        ) as codeowners_file:
             codeowners = CodeOwners(codeowners_file.read())
 
         # Build Owner Dictionaries
@@ -83,7 +85,8 @@ def batch(self, items: Sequence[Item]) -> List[Batch]:
         # Add batches based on individual owners
         batches.extend(self._create_batches(individual_owners, "reviewers"))
         # Add unowned batch
-        batches.extend(self._create_batches({"unowned": no_owners}))
+        if no_owners:
+            batches.extend(self._create_batches({"unowned": no_owners}))
 
         return batches
 
@@ -92,9 +95,15 @@ def _create_batches(
     ) -> List[Batch]:
         batches = []
         for owner, items in owners.items():
-            num_chunks = math.ceil(len(items) / self.max_batch_size) if self.max_batch_size else 1
+            num_chunks = (
+                math.ceil(len(items) / self.max_batch_size)
+                if self.max_batch_size
+                else 1
+            )
             chunk_size = math.ceil(len(items) / num_chunks)
-            item_chunks = [items[i : i + chunk_size] for i in range(0, len(items), chunk_size)]
+            item_chunks = [
+                items[i : i + chunk_size] for i in range(0, len(items), chunk_size)
+            ]
             for i, chunk_items in enumerate(item_chunks, start=1):
                 title = (
                     f"[{i}/{num_chunks}]{self.prefix} {owner}"