Fix for 'importlib' has no attribute 'util'

openfl/federated/__init__.py

@@ -4,23 +4,23 @@
 
 """openfl.federated package."""
 
-import importlib
+from importlib import util
 
 from openfl.federated.data import DataLoader  # NOQA
 from openfl.federated.plan import Plan  # NOQA
 from openfl.federated.task import TaskRunner  # NOQA
 
-if importlib.util.find_spec("tensorflow") is not None:
+if util.find_spec("tensorflow") is not None:
     from openfl.federated.data import FederatedDataSet  # NOQA
     from openfl.federated.data import KerasDataLoader, TensorFlowDataLoader
     from openfl.federated.task import FederatedModel  # NOQA
     from openfl.federated.task import KerasTaskRunner, TensorFlowTaskRunner
-if importlib.util.find_spec("torch") is not None:
+if util.find_spec("torch") is not None:
     from openfl.federated.data import FederatedDataSet  # NOQA
     from openfl.federated.data import PyTorchDataLoader
     from openfl.federated.task import FederatedModel  # NOQA
     from openfl.federated.task import PyTorchTaskRunner
-if importlib.util.find_spec("xgboost") is not None:
+if util.find_spec("xgboost") is not None:
     from openfl.federated.data import FederatedDataSet  # NOQA
     from openfl.federated.data import XGBoostDataLoader
     from openfl.federated.task import FederatedModel  # NOQA

openfl/federated/data/__init__.py

@@ -4,26 +4,26 @@
 
 """Data package."""
 
-import importlib
+from importlib import util
 from warnings import catch_warnings, simplefilter
 
 with catch_warnings():
     simplefilter(action="ignore", category=FutureWarning)
-    if importlib.util.find_spec("tensorflow") is not None:
+    if util.find_spec("tensorflow") is not None:
         # ignore deprecation warnings in command-line interface
         import tensorflow  # NOQA
 
 from openfl.federated.data.loader import DataLoader  # NOQA
 
-if importlib.util.find_spec("tensorflow") is not None:
+if util.find_spec("tensorflow") is not None:
     from openfl.federated.data.federated_data import FederatedDataSet  # NOQA
     from openfl.federated.data.loader_keras import KerasDataLoader  # NOQA
     from openfl.federated.data.loader_tf import TensorFlowDataLoader  # NOQA
 
-if importlib.util.find_spec("torch") is not None:
+if util.find_spec("torch") is not None:
     from openfl.federated.data.federated_data import FederatedDataSet  # NOQA
     from openfl.federated.data.loader_pt import PyTorchDataLoader  # NOQA
 
-if importlib.util.find_spec("xgboost") is not None:
+if util.find_spec("xgboost") is not None:
     from openfl.federated.data.federated_data import FederatedDataSet  # NOQA
     from openfl.federated.data.loader_xgb import XGBoostDataLoader  # NOQA

openfl/federated/task/__init__.py

@@ -4,24 +4,24 @@
 
 """Task package."""
 
-import importlib
+from importlib import util
 from warnings import catch_warnings, simplefilter
 
 with catch_warnings():
     simplefilter(action="ignore", category=FutureWarning)
-    if importlib.util.find_spec("tensorflow") is not None:
+    if util.find_spec("tensorflow") is not None:
         # ignore deprecation warnings in command-line interface
         import tensorflow  # NOQA
 
 from openfl.federated.task.runner import TaskRunner  # NOQA
 
-if importlib.util.find_spec("tensorflow") is not None:
+if util.find_spec("tensorflow") is not None:
     from openfl.federated.task.fl_model import FederatedModel  # NOQA
     from openfl.federated.task.runner_keras import KerasTaskRunner  # NOQA
     from openfl.federated.task.runner_tf import TensorFlowTaskRunner  # NOQA
-if importlib.util.find_spec("torch") is not None:
+if util.find_spec("torch") is not None:
     from openfl.federated.task.fl_model import FederatedModel  # NOQA
     from openfl.federated.task.runner_pt import PyTorchTaskRunner  # NOQA
-if importlib.util.find_spec("xgboost") is not None:
+if util.find_spec("xgboost") is not None:
     from openfl.federated.task.fl_model import FederatedModel  # NOQA
     from openfl.federated.task.runner_xgb import XGBoostTaskRunner  # NOQA

openfl/native/native.py

@@ -7,11 +7,11 @@
 This file defines openfl entrypoints to be used directly through python (not
 CLI)
 """
-import importlib
 import json
 import logging
 import os
 from copy import copy
+from importlib import util
 from logging import basicConfig, getLogger
 from pathlib import Path
 from sys import path
@@ -164,7 +164,7 @@ def setup_logging(level="INFO", log_file=None):
     """
     # Setup logging
 
-    if importlib.util.find_spec("tensorflow") is not None:
+    if util.find_spec("tensorflow") is not None:
         import tensorflow as tf  # pylint: disable=import-outside-toplevel
 
         tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.ERROR)

openfl/pipelines/__init__.py

@@ -1,6 +1,6 @@
 # Copyright 2022 VMware, Inc.
 # SPDX-License-Identifier: Apache-2.0
-import importlib
+from importlib import util
 
 from openfl.pipelines.kc_pipeline import KCPipeline
 from openfl.pipelines.no_compression_pipeline import NoCompressionPipeline
@@ -9,5 +9,5 @@
 from openfl.pipelines.stc_pipeline import STCPipeline
 from openfl.pipelines.tensor_codec import TensorCodec
 
-if importlib.util.find_spec("torch") is not None:
+if util.find_spec("torch") is not None:
     from openfl.pipelines.eden_pipeline import EdenPipeline  # NOQA

openfl/utilities/optimizers/keras/__init__.py

@@ -2,7 +2,7 @@
 # SPDX-License-Identifier: Apache-2.0
 
 
-import importlib
+from importlib import util
 
-if importlib.util.find_spec("tensorflow") is not None:
+if util.find_spec("tensorflow") is not None:
     from openfl.utilities.optimizers.keras.fedprox import FedProxOptimizer  # NOQA

openfl/utilities/optimizers/torch/__init__.py

@@ -3,8 +3,8 @@
 
 
 """PyTorch optimizers package."""
-import importlib
+from importlib import util
 
-if importlib.util.find_spec("torch") is not None:
+if util.find_spec("torch") is not None:
     from openfl.utilities.optimizers.torch.fedprox import FedProxAdam  # NOQA
     from openfl.utilities.optimizers.torch.fedprox import FedProxOptimizer  # NOQA