ci(*:skip) Format imports in dev, doc, and examples (#3991)

dev/build-docker-image-matrix.py

@@ -3,9 +3,9 @@
 """
 
 import argparse
+import json
 from dataclasses import asdict, dataclass
 from enum import Enum
-import json
 from typing import Any, Callable, Dict, List, Optional
 
 

dev/build-example-docs.py

@@ -15,8 +15,8 @@
 """Build the Flower Example docs."""
 
 import os
-import shutil
 import re
+import shutil
 import subprocess
 from pathlib import Path
 

dev/check_pr_title.py

@@ -19,7 +19,6 @@
 import sys
 import tomllib
 
-
 if __name__ == "__main__":
 
     pr_title = sys.argv[1]

doc/source/conf.py

@@ -17,6 +17,7 @@
 import datetime
 import os
 import sys
+
 from git import Repo
 from sphinx.application import ConfigError
 

examples/advanced-pytorch/client.py

@@ -1,11 +1,13 @@
-import utils
-from torch.utils.data import DataLoader
-import torch
-import flwr as fl
 import argparse
-from collections import OrderedDict
 import warnings
+from collections import OrderedDict
+
 import datasets
+import flwr as fl
+import torch
+from torch.utils.data import DataLoader
+
+import utils
 
 warnings.filterwarnings("ignore")
 

examples/advanced-pytorch/server.py

@@ -1,17 +1,15 @@
-from typing import Dict, Optional, Tuple
-from collections import OrderedDict
 import argparse
-from torch.utils.data import DataLoader
+import warnings
+from collections import OrderedDict
+from typing import Dict, Optional, Tuple
 
 import flwr as fl
 import torch
+from flwr_datasets import FederatedDataset
+from torch.utils.data import DataLoader
 
 import utils
 
-import warnings
-
-from flwr_datasets import FederatedDataset
-
 warnings.filterwarnings("ignore")
 
 

examples/advanced-pytorch/utils.py

@@ -1,10 +1,9 @@
-import torch
-from torchvision.transforms import Compose, ToTensor, Normalize, Resize, CenterCrop
-from torchvision.models import efficientnet_b0, AlexNet
 import warnings
 
+import torch
 from flwr_datasets import FederatedDataset
-
+from torchvision.models import AlexNet, efficientnet_b0
+from torchvision.transforms import CenterCrop, Compose, Normalize, Resize, ToTensor
 
 warnings.filterwarnings("ignore")
 

examples/advanced-tensorflow/client.py

@@ -2,10 +2,8 @@
 import os
 from pathlib import Path
 
-import tensorflow as tf
-
 import flwr as fl
-
+import tensorflow as tf
 from flwr_datasets import FederatedDataset
 
 # Make TensorFlow logs less verbose

examples/advanced-tensorflow/server.py

@@ -1,9 +1,8 @@
-from typing import Dict, Optional, Tuple
 from pathlib import Path
+from typing import Dict, Optional, Tuple
 
 import flwr as fl
 import tensorflow as tf
-
 from flwr_datasets import FederatedDataset
 
 

examples/android/tflite_convertor/convert_to_tflite.py

@@ -1,9 +1,8 @@
 import tensorflow as tf
 from tensorflow.keras import layers
 from tensorflow.keras.regularizers import l2
-from tfltransfer import bases
-from tfltransfer import heads
-from tfltransfer import optimizers
+
+from tfltransfer import bases, heads, optimizers
 from tfltransfer.tflite_transfer_converter import TFLiteTransferConverter
 
 # Define the base model.

examples/android/tflite_convertor/tfltransfer/bases/mobilenetv2_base.py

@@ -14,9 +14,7 @@
 """Base model configuration for MobileNetV2."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import tensorflow as tf
 

examples/android/tflite_convertor/tfltransfer/bases/quantizable_base.py

@@ -14,9 +14,7 @@
 """Base model abstract base class that handles quantization."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import abc
 

examples/android/tflite_convertor/tfltransfer/bases/saved_model_base.py

@@ -14,9 +14,7 @@
 """Base model configuration that reads a specified SavedModel."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import tensorflow as tf
 

examples/android/tflite_convertor/tfltransfer/heads/keras_model_head.py

@@ -14,9 +14,7 @@
 """Head model configuration for Keras models."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import os
 import shutil

examples/android/tflite_convertor/tfltransfer/heads/logits_saved_model_head.py

@@ -14,9 +14,7 @@
 """Head model configuration for classifier SavedModels."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import os
 import shutil

examples/android/tflite_convertor/tfltransfer/heads/softmax_classifier_head.py

@@ -14,9 +14,7 @@
 """Head model configuration for simple softmax classifiers."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import numpy as np
 import tensorflow as tf

examples/android/tflite_convertor/tfltransfer/model_correctness_test.py

@@ -14,9 +14,7 @@
 """End-to-end tests that check model correctness."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import os
 import tempfile
@@ -27,10 +25,7 @@
 from tensorflow.compat import v1 as tfv1
 
 # pylint: disable=g-bad-import-order
-from tfltransfer import bases
-from tfltransfer import optimizers
-from tfltransfer import heads
-from tfltransfer import tflite_transfer_converter
+from tfltransfer import bases, heads, optimizers, tflite_transfer_converter
 
 # pylint: enable=g-bad-import-order
 

examples/android/tflite_convertor/tfltransfer/optimizers/adam.py

@@ -14,9 +14,7 @@
 """Adam optimizer implementation for transfer learning models."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import tensorflow as tf
 import tensorflow.compat.v1 as tfv1

examples/android/tflite_convertor/tfltransfer/optimizers/sgd.py

@@ -14,9 +14,7 @@
 """SGD optimizer implementation for transfer learning models."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import tensorflow as tf
 import tensorflow.compat.v1 as tfv1

examples/android/tflite_convertor/tfltransfer/tflite_transfer_convert.py

@@ -17,17 +17,12 @@
 """
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import argparse
 
 # pylint: disable=g-bad-import-order
-from tfltransfer import bases
-from tfltransfer import heads
-from tfltransfer import optimizers
-from tfltransfer import tflite_transfer_converter
+from tfltransfer import bases, heads, optimizers, tflite_transfer_converter
 
 # pylint: enable=g-bad-import-order
 

examples/android/tflite_convertor/tfltransfer/tflite_transfer_converter.py

@@ -19,9 +19,7 @@
 """
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import os
 

examples/android/tflite_convertor/tfltransfer/tflite_transfer_converter_test.py

@@ -14,9 +14,7 @@
 """Tests for tflite_transfer_converter."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 import tempfile
 import unittest
@@ -27,10 +25,7 @@
 from tensorflow.keras.regularizers import l2
 
 # pylint: disable=g-bad-import-order
-from tfltransfer import bases
-from tfltransfer import heads
-from tfltransfer import optimizers
-from tfltransfer import tflite_transfer_converter
+from tfltransfer import bases, heads, optimizers, tflite_transfer_converter
 
 # pylint: enable=g-bad-import-order
 

examples/android/tflite_convertor/tfltransfer/utils.py

@@ -14,9 +14,7 @@
 """Helper utilities for various parts of the converter."""
 
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
+from __future__ import absolute_import, division, print_function
 
 from tensorflow.compat import v1 as tfv1
 

examples/app-pytorch/client.py

@@ -1,15 +1,6 @@
 from flwr.client import ClientApp, NumPyClient
 
-from task import (
-    Net,
-    DEVICE,
-    load_data,
-    get_weights,
-    set_weights,
-    train,
-    test,
-)
-
+from task import DEVICE, Net, get_weights, load_data, set_weights, test, train
 
 # Load model and data (simple CNN, CIFAR-10)
 net = Net().to(DEVICE)

examples/app-pytorch/client_low_level.py

@@ -1,5 +1,5 @@
 from flwr.client import ClientApp
-from flwr.common import Message, Context
+from flwr.common import Context, Message
 
 
 def hello_world_mod(msg, ctx, call_next) -> Message:

examples/app-pytorch/server.py

@@ -1,8 +1,8 @@
 from typing import List, Tuple
 
+from flwr.common import Metrics, ndarrays_to_parameters
 from flwr.server import ServerApp, ServerConfig
 from flwr.server.strategy import FedAvg
-from flwr.common import Metrics, ndarrays_to_parameters
 
 from task import Net, get_weights
 

examples/app-pytorch/server_custom.py

@@ -1,19 +1,19 @@
-from typing import List, Tuple, Dict
 import random
 import time
+from typing import Dict, List, Tuple
 
 import flwr as fl
 from flwr.common import (
+    DEFAULT_TTL,
+    Code,
     Context,
     FitIns,
-    ndarrays_to_parameters,
-    parameters_to_ndarrays,
-    NDArrays,
-    Code,
     Message,
     MessageType,
     Metrics,
-    DEFAULT_TTL,
+    NDArrays,
+    ndarrays_to_parameters,
+    parameters_to_ndarrays,
 )
 from flwr.common.recordset_compat import fitins_to_recordset, recordset_to_fitres
 from flwr.server import Driver, History

examples/app-pytorch/server_low_level.py

@@ -1,20 +1,19 @@
-from typing import List, Tuple, Dict
 import random
 import time
+from typing import Dict, List, Tuple
 
 import flwr as fl
 from flwr.common import (
+    DEFAULT_TTL,
     Context,
-    NDArrays,
     Message,
     MessageType,
     Metrics,
+    NDArrays,
     RecordSet,
-    DEFAULT_TTL,
 )
 from flwr.server import Driver
 
-
 # Run via `flower-server-app server:app`
 app = fl.server.ServerApp()