Merge pull request #109 from dflook/fix-class-annotation-namespace

Fix namespace for new Assign nodes introduced by annotation removal.

Author: dflook

corpus_test/generate_results.py

@@ -115,7 +115,7 @@ def corpus_test(corpus_path, results_path, sha, regenerate_results):
             if entry in result_writer:
                 continue
 
-            logging.debug(entry)
+            logging.debug('Corpus entry [' + entry + ']')
 
             result = minify_corpus_entry(corpus_path, entry)
             result_writer.write(result)

src/python_minifier/transforms/remove_annotations.py

@@ -120,11 +120,11 @@ def is_typing_sensitive(node):
         if is_dataclass_field(node) or is_typing_sensitive(node):
             return node
         elif node.value:
-            return self.add_child(ast.Assign([node.target], node.value), parent=node.parent)
+            return self.add_child(ast.Assign([node.target], node.value), parent=node.parent, namespace=node.namespace)
         else:
             # Valueless annotations cause the interpreter to treat the variable as a local.
             # I don't know of another way to do that without assigning to it, so
             # keep it as an AnnAssign, but replace the annotation with '0'
 
-            node.annotation = self.add_child(ast.Num(0), parent=node.parent)
+            node.annotation = self.add_child(ast.Num(0), parent=node.parent, namespace=node.namespace)
             return node