ruff ruff

Signed-off-by: mg515 <[email protected]>

plugins/flytekit-hydra/README.md

@@ -42,11 +42,11 @@ The transformer can be set to one of three modes:
 
 `Dataclass` - This mode should be used with a StructuredConfig and will reconstruct the config from the matching dataclass
 during deserialisation in order to make typing information from the dataclass and continued validation thereof available.
-This requires the dataclass definition to be available via python import in the Flyte execution environment in which 
+This requires the dataclass definition to be available via python import in the Flyte execution environment in which
 objects are (de-)serialised.
 
 `DictConfig` - This mode will deserialize the config into a DictConfig object. In particular, dataclasses are translated
-into DictConfig objects and only primitive types are being checked. The definition of underlying dataclasses for 
+into DictConfig objects and only primitive types are being checked. The definition of underlying dataclasses for
 structured configs is only required during the initial serialization for this mode.
 
 `Auto` - This mode will try to deserialize according to the Dataclass mode and fall back to the DictConfig mode if the

plugins/flytekit-hydra/flytekitplugins/hydra/dictconfig_transformer.py

@@ -8,18 +8,18 @@
 import flatten_dict
 import omegaconf
 from flyteidl.core.literals_pb2 import Literal as PB_Literal
+from flytekitplugins.hydra.config import OmegaConfTransformerMode, SharedConfig
+from flytekitplugins.hydra.flytekit_patch import iterate_get_transformers
+from flytekitplugins.hydra.type_information import extract_node_type
+from google.protobuf.json_format import MessageToDict, ParseDict
+from google.protobuf.struct_pb2 import Struct
+from omegaconf import DictConfig, OmegaConf
+
 from flytekit import FlyteContext
 from flytekit.core.type_engine import TypeTransformerFailedError
 from flytekit.extend import TypeEngine, TypeTransformer
 from flytekit.models.literals import Literal, Scalar
 from flytekit.models.types import LiteralType, SimpleType
-from google.protobuf.json_format import MessageToDict, ParseDict
-from google.protobuf.struct_pb2 import Struct
-from omegaconf import DictConfig, OmegaConf
-
-from flytekitplugins.hydra.config import OmegaConfTransformerMode, SharedConfig
-from flytekitplugins.hydra.flytekit_patch import iterate_get_transformers
-from flytekitplugins.hydra.type_information import extract_node_type
 
 logger = logging.getLogger(__name__)
 

plugins/flytekit-hydra/flytekitplugins/hydra/flytekit_patch.py

@@ -1,9 +1,9 @@
 import dataclasses
 import inspect
 import logging
-from typing import get_args, Type
+from typing import Type, get_args
 
-from flytekit.core.type_engine import is_annotated, TypeEngine, TypeTransformer
+from flytekit.core.type_engine import TypeEngine, TypeTransformer, is_annotated
 
 logger = logging.getLogger()
 

plugins/flytekit-hydra/flytekitplugins/hydra/listconfig_transformer.py

@@ -5,18 +5,18 @@
 
 import omegaconf
 from flyteidl.core.literals_pb2 import Literal as PB_Literal
+from flytekitplugins.hydra.config import OmegaConfTransformerMode, SharedConfig
+from flytekitplugins.hydra.flytekit_patch import iterate_get_transformers
+from flytekitplugins.hydra.type_information import extract_node_type
+from google.protobuf.json_format import MessageToDict, ParseDict
+from google.protobuf.struct_pb2 import Struct
+from omegaconf import ListConfig, OmegaConf
+
 from flytekit import FlyteContext
 from flytekit.core.type_engine import TypeTransformerFailedError
 from flytekit.extend import TypeEngine, TypeTransformer
 from flytekit.models.literals import Literal, Primitive, Scalar
 from flytekit.models.types import LiteralType, SimpleType
-from google.protobuf.json_format import MessageToDict, ParseDict
-from google.protobuf.struct_pb2 import Struct
-from omegaconf import ListConfig, OmegaConf
-
-from flytekitplugins.hydra.config import OmegaConfTransformerMode, SharedConfig
-from flytekitplugins.hydra.flytekit_patch import iterate_get_transformers
-from flytekitplugins.hydra.type_information import extract_node_type
 
 T = TypeVar("T")
 logger = logging.getLogger(__name__)

plugins/flytekit-hydra/flytekitplugins/hydra/type_information.py

@@ -116,7 +116,7 @@ def extract_node_type(
 
     logger.debug(
         f"Inferring type information directly from runtime object {python_val[key]} for serialisation purposes. "
-        "For more stable type resolution and serialisation provide explict type hints."
+        "For more stable type resolution and serialisation provide explicit type hints."
     )
     node_type = type(python_val[key])
     type_name = f"{node_type.__module__}.{node_type.__name__}"

plugins/flytekit-hydra/tests/test_extract_node_type.py

@@ -2,9 +2,9 @@
 import typing as t
 
 import pytest
+from flytekitplugins.hydra.type_information import extract_node_type
 from omegaconf import DictConfig, ListConfig, OmegaConf
 
-from flytekitplugins.hydra.type_information import extract_node_type
 from tests.conftest import ExampleConfig, ExampleConfigWithNonAnnotatedSubtree
 
 
@@ -66,7 +66,7 @@ def test_raises_nonannotated_subtree(self) -> None:
             extract_node_type(python_val, "unnanotated_key")
 
     def test_single_unnanotated_node(self) -> None:
-        """Test that inferring a fully unnanotated node works by infering types from runtime values."""
+        """Test that inferring a fully unnanotated node works by inferring types from runtime values."""
 
         python_val = OmegaConf.create({"unannotated_dictconfig_key": {"unnanotated_int_key": 2}})
         node_type, type_name = extract_node_type(python_val, key="unannotated_dictconfig_key")