Cleanup

src/omnipy/data/model.py

@@ -1,3 +1,4 @@
+from abc import ABCMeta
 from collections.abc import Mapping, Sequence
 import functools
 import inspect
@@ -31,7 +32,7 @@
 
 from omnipy.data.methodinfo import MethodInfo, SPECIAL_METHODS_INFO
 from omnipy.util.contexts import AttribHolder, LastErrorHolder, nothing
-from omnipy.util.decorators import add_callback_after_call, apply_decorator_to_property
+from omnipy.util.decorators import add_callback_after_call
 from omnipy.util.helpers import (all_equals,
                                  ensure_plain_type,
                                  generate_qualname,
@@ -110,7 +111,6 @@ class MyModelMetaclass(ModelMetaclass):
     # to be set to True so that Model is allowed to validate a None value.
     #
     # TODO: Revisit the need for MyModelMetaclass hack in pydantic v2
-
     def __instancecheck__(self, instance: Any) -> bool:
         if instance is None:
             return True

src/omnipy/data/serializer.py

@@ -197,7 +197,7 @@ def load_from_tar_file_path_based_on_dataset_cls(self,
         serializers = self.detect_tar_file_serializers_from_dataset_cls(to_dataset)
         if len(serializers) == 0:
             log(f'No serializer for Dataset with type "{type(to_dataset)}" can be '
-                f'determined. Aborting load.')
+                f'determined.')
         else:
             for serializer in serializers:
                 log(f'Reading dataset from a gzipped tarpack at'

src/omnipy/modules/raw/serializers.py

@@ -23,7 +23,7 @@ def get_output_file_suffix(cls) -> str:
         return 'txt'
 
     @classmethod
-    def serialize(cls, dataset: Dataset[Model[str]]) -> bytes:
+    def serialize(cls, dataset: Dataset[Model[str]]) -> bytes | memoryview:
         def raw_encode_func(contents: str) -> bytes:
             return contents.encode('utf8')
 
@@ -66,7 +66,7 @@ def get_output_file_suffix(cls) -> str:
         return 'bytes'
 
     @classmethod
-    def serialize(cls, dataset: Dataset[Model[bytes]]) -> bytes:
+    def serialize(cls, dataset: Dataset[Model[bytes]]) -> bytes | memoryview:
         def raw_encode_func(contents: bytes) -> bytes:
             return contents