[MNT] unify the code format

examples/dataset_image_workflow/config.py

@@ -1,6 +1,5 @@
 from learnware.tests.benchmarks import BenchmarkConfig
 
-
 image_benchmark_config = BenchmarkConfig(
     name="CIFAR-10",
     user_num=100,

examples/dataset_image_workflow/utils.py

@@ -1,6 +1,6 @@
-import torch
 import numpy as np
-from torch import optim, nn
+import torch
+from torch import nn, optim
 from torch.utils.data import DataLoader, Dataset
 
 from learnware.utils import choose_device

examples/dataset_image_workflow/workflow.py

@@ -1,24 +1,25 @@
 import os
-import fire
-import time
-import torch
 import pickle
 import random
 import tempfile
-import numpy as np
+import time
+
+import fire
 import matplotlib.pyplot as plt
+import numpy as np
+import torch
+from config import image_benchmark_config
+from model import ConvModel
 from torch.utils.data import TensorDataset
+from utils import evaluate, train_model
 
-from learnware.utils import choose_device
 from learnware.client import LearnwareClient
 from learnware.logger import get_module_logger
+from learnware.market import BaseUserInfo, instantiate_learnware_market
+from learnware.reuse import AveragingReuser, EnsemblePruningReuser, JobSelectorReuser
 from learnware.specification import generate_stat_spec
 from learnware.tests.benchmarks import LearnwareBenchmark
-from learnware.market import instantiate_learnware_market, BaseUserInfo
-from learnware.reuse import JobSelectorReuser, AveragingReuser, EnsemblePruningReuser
-from model import ConvModel
-from utils import train_model, evaluate
-from config import image_benchmark_config
+from learnware.utils import choose_device
 
 logger = get_module_logger("image_workflow", level="INFO")
 

examples/dataset_table_workflow/base.py

@@ -1,20 +1,21 @@
 import os
-import time
 import random
-import requests
 import tempfile
+import time
 import traceback
+
 import numpy as np
+import requests
+from config import market_mapping_params
+from methods import loss_func_rmse, test_methods
+from utils import set_seed
+
 from learnware.client import LearnwareClient
 from learnware.logger import get_module_logger
 from learnware.market import instantiate_learnware_market
 from learnware.reuse.utils import fill_data_with_mean
 from learnware.tests.benchmarks import LearnwareBenchmark
 
-from config import market_mapping_params
-from methods import loss_func_rmse, test_methods
-from utils import set_seed
-
 logger = get_module_logger("base_table", level="INFO")
 
 

examples/dataset_table_workflow/config.py

@@ -1,6 +1,5 @@
 from learnware.tests.benchmarks import BenchmarkConfig
 
-
 homo_n_labeled_list = [100, 200, 500, 1000, 2000, 4000, 6000, 8000, 10000]
 homo_n_repeat_list = [10, 10, 10, 3, 3, 3, 3, 3, 3]
 hetero_n_labeled_list = [10, 30, 50, 75, 100, 200, 500, 1000, 2000]

examples/dataset_table_workflow/hetero.py

@@ -2,15 +2,15 @@ import os
 import warnings
 
 import numpy as np
+from base import TableWorkflow
+from config import align_model_params, hetero_n_labeled_list, hetero_n_repeat_list, user_semantic
+from methods import loss_func_rmse
+from utils import Recorder, plot_performance_curves, set_seed
+
 from learnware.logger import get_module_logger
-from learnware.specification import generate_stat_spec
 from learnware.market import BaseUserInfo
 from learnware.reuse import AveragingReuser, FeatureAlignLearnware
-
-from methods import loss_func_rmse
-from base import TableWorkflow
-from config import align_model_params, user_semantic, hetero_n_labeled_list, hetero_n_repeat_list
-from utils import Recorder, plot_performance_curves, set_seed
+from learnware.specification import generate_stat_spec
 
 warnings.filterwarnings("ignore")
 logger = get_module_logger("hetero_test", level="INFO")

examples/dataset_table_workflow/homo.py

@@ -1,17 +1,17 @@
 import os
 import warnings
-import numpy as np
 
-from learnware.market import BaseUserInfo
-from learnware.logger import get_module_logger
-from learnware.specification import generate_stat_spec
-from learnware.reuse import AveragingReuser, JobSelectorReuser
-
-from methods import loss_func_rmse
+import numpy as np
 from base import TableWorkflow
 from config import homo_n_labeled_list, homo_n_repeat_list
+from methods import loss_func_rmse
 from utils import Recorder, plot_performance_curves
 
+from learnware.logger import get_module_logger
+from learnware.market import BaseUserInfo
+from learnware.reuse import AveragingReuser, JobSelectorReuser
+from learnware.specification import generate_stat_spec
+
 warnings.filterwarnings("ignore")
 logger = get_module_logger("homo_table", level="INFO")
 

examples/dataset_table_workflow/methods.py

@@ -1,10 +1,10 @@
 import numpy as np
+from config import align_model_params
 from sklearn.metrics import mean_squared_error
 from sklearn.model_selection import train_test_split
+from train import train_model
 
 from learnware.reuse import AveragingReuser, EnsemblePruningReuser, FeatureAugmentReuser, HeteroMapAlignLearnware
-from config import align_model_params
-from train import train_model
 
 
 def loss_func_rmse(y_true, y_pred):

examples/dataset_table_workflow/train.py

@@ -1,8 +1,8 @@
 import lightgbm as lgb
+from config import user_model_params
 from lightgbm import early_stopping
 
 from learnware.logger import get_module_logger
-from config import user_model_params
 
 logger = get_module_logger("train_table", level="INFO")
 

examples/dataset_table_workflow/utils.py

@@ -1,14 +1,14 @@
-import os
 import json
+import os
 import random
+from collections import defaultdict
 
-import torch
-import numpy as np
 import matplotlib.pyplot as plt
-from collections import defaultdict
+import numpy as np
+import torch
+from config import labels, styles
 
 from learnware.logger import get_module_logger
-from config import styles, labels
 
 logger = get_module_logger("base_table", level="INFO")
 

examples/dataset_table_workflow/workflow.py

@@ -1,13 +1,13 @@
 import fire
-
-from learnware.logger import get_module_logger
-from homo import HomogeneousDatasetWorkflow
-from hetero import HeterogeneousDatasetWorkflow
 from config import (
-    homo_table_benchmark_config,
     hetero_cross_feat_eng_benchmark_config,
     hetero_cross_task_benchmark_config,
+    homo_table_benchmark_config,
 )
+from hetero import HeterogeneousDatasetWorkflow
+from homo import HomogeneousDatasetWorkflow
+
+from learnware.logger import get_module_logger
 
 logger = get_module_logger("base_table", level="INFO")
 

examples/dataset_text_workflow/config.py

@@ -1,6 +1,5 @@
 from learnware.tests.benchmarks import BenchmarkConfig
 
-
 text_benchmark_config = BenchmarkConfig(
     name="20-Newsgroups",
     user_num=10,

examples/dataset_text_workflow/workflow.py

@@ -1,22 +1,23 @@
 import os
-import fire
-import time
-import random
 import pickle
+import random
 import tempfile
-import numpy as np
+import time
+
+import fire
 import matplotlib.pyplot as plt
+import numpy as np
+from config import text_benchmark_config
+from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics import accuracy_score
 from sklearn.naive_bayes import MultinomialNB
-from sklearn.feature_extraction.text import TfidfVectorizer
 
 from learnware.client import LearnwareClient
 from learnware.logger import get_module_logger
+from learnware.market import BaseUserInfo, instantiate_learnware_market
+from learnware.reuse import AveragingReuser, EnsemblePruningReuser, JobSelectorReuser
 from learnware.specification import RKMETextSpecification
 from learnware.tests.benchmarks import LearnwareBenchmark
-from learnware.market import instantiate_learnware_market, BaseUserInfo
-from learnware.reuse import JobSelectorReuser, AveragingReuser, EnsemblePruningReuser
-from config import text_benchmark_config
 
 logger = get_module_logger("text_workflow", level="INFO")
 

learnware/tests/benchmarks/__init__.py

@@ -2,10 +2,11 @@ import os
 import pickle
 import tempfile
 import zipfile
-import numpy as np
 from dataclasses import dataclass
 from typing import List, Optional, Tuple, Union
 
+import numpy as np
+
 from .config import BenchmarkConfig, benchmark_configs
 from ..data import GetData
 from ...config import C

learnware/tests/benchmarks/config.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass
-from typing import List, Optional, Dict
+from typing import Dict, List, Optional
 
 
 @dataclass

setup.py

@@ -1,4 +1,5 @@
 import os
+
 from setuptools import find_packages, setup
 
 

tests/test_function/test_search.py

@@ -1,12 +1,12 @@
+import logging
 import os
-import unittest
 import tempfile
-import logging
+import unittest
 
 import learnware
-from learnware.learnware import Learnware
 from learnware.client import LearnwareClient
-from learnware.market import instantiate_learnware_market, BaseUserInfo
+from learnware.learnware import Learnware
+from learnware.market import BaseUserInfo, instantiate_learnware_market
 
 learnware.init(logging_level=logging.WARNING)
 

tests/test_learnware_client/test_all_learnware.py

@@ -1,11 +1,11 @@
-import os
 import json
-import unittest
+import os
 import tempfile
+import unittest
 
 from learnware.client import LearnwareClient
-from learnware.specification import generate_semantic_spec
 from learnware.market import BaseUserInfo
+from learnware.specification import generate_semantic_spec
 
 
 class TestAllLearnware(unittest.TestCase):

tests/test_learnware_client/test_check_learnware.py

@@ -1,6 +1,6 @@
 import os
-import unittest
 import tempfile
+import unittest
 
 from learnware.client import LearnwareClient
 

tests/test_learnware_client/test_container.py

@@ -1,4 +1,5 @@
 import unittest
+
 import numpy as np
 
 from learnware.client import LearnwareClient

tests/test_learnware_client/test_load_learnware.py

@@ -1,5 +1,6 @@
 import os
 import unittest
+
 import numpy as np
 
 from learnware.client import LearnwareClient

tests/test_learnware_client/test_upload.py

@@ -1,7 +1,7 @@
-import os
 import json
-import unittest
+import os
 import tempfile
+import unittest
 
 from learnware.client import LearnwareClient
 from learnware.specification import generate_semantic_spec

tests/test_specification/test_hetero_spec.py

@@ -1,12 +1,12 @@
-import os
 import json
-import unittest
+import os
 import tempfile
+import unittest
+
 import numpy as np
 
-from learnware.specification import RKMETableSpecification, HeteroMapTableSpecification
-from learnware.specification import generate_stat_spec
 from learnware.market.heterogeneous.organizer import HeteroMap
+from learnware.specification import HeteroMapTableSpecification, RKMETableSpecification, generate_stat_spec
 
 
 class TestTableRKME(unittest.TestCase):

tests/test_specification/test_image_rkme.py

@@ -1,12 +1,12 @@
-import os
 import json
-import torch
-import unittest
+import os
 import tempfile
+import unittest
+
 import numpy as np
+import torch
 
-from learnware.specification import RKMEImageSpecification
-from learnware.specification import generate_stat_spec
+from learnware.specification import RKMEImageSpecification, generate_stat_spec
 
 
 class TestImageRKME(unittest.TestCase):

tests/test_specification/test_table_rkme.py

@@ -1,11 +1,11 @@
-import os
 import json
-import unittest
+import os
 import tempfile
+import unittest
+
 import numpy as np
 
-from learnware.specification import RKMETableSpecification
-from learnware.specification import generate_stat_spec
+from learnware.specification import RKMETableSpecification, generate_stat_spec
 
 
 class TestTableRKME(unittest.TestCase):

tests/test_specification/test_text_rkme.py

@@ -1,12 +1,11 @@
-import os
 import json
-import string
+import os
 import random
-import unittest
+import string
 import tempfile
+import unittest
 
-from learnware.specification import RKMETextSpecification
-from learnware.specification import generate_stat_spec
+from learnware.specification import RKMETextSpecification, generate_stat_spec
 
 
 class TestTextRKME(unittest.TestCase):

tests/test_workflow/test_hetero_workflow.py

@@ -1,22 +1,22 @@
-import torch
-import pickle
-import unittest
-import os
 import logging
+import os
+import pickle
 import tempfile
+import unittest
 import zipfile
-from sklearn.linear_model import Ridge
+
+import torch
+from hetero_config import input_description_list, input_shape_list, output_description_list, user_description_list
 from sklearn.datasets import make_regression
+from sklearn.linear_model import Ridge
 from sklearn.metrics import mean_squared_error
 
 import learnware
-from learnware.market import instantiate_learnware_market, BaseUserInfo
+from learnware.market import BaseUserInfo, instantiate_learnware_market
+from learnware.reuse import AveragingReuser, EnsemblePruningReuser, HeteroMapAlignLearnware
 from learnware.specification import RKMETableSpecification, generate_rkme_table_spec, generate_semantic_spec
-from learnware.reuse import HeteroMapAlignLearnware, AveragingReuser, EnsemblePruningReuser
 from learnware.tests.templates import LearnwareTemplate, PickleModelTemplate, StatSpecTemplate
 
-from hetero_config import input_shape_list, input_description_list, output_description_list, user_description_list
-
 learnware.init(logging_level=logging.WARNING)
 curr_root = os.path.dirname(os.path.abspath(__file__))
 

tests/test_workflow/test_workflow.py

@@ -1,18 +1,19 @@
-import unittest
-import os
 import logging
-import tempfile
+import os
 import pickle
+import tempfile
+import unittest
 import zipfile
+
 import numpy as np
 from sklearn import svm
 from sklearn.datasets import load_digits
 from sklearn.model_selection import train_test_split
 
 import learnware
-from learnware.market import instantiate_learnware_market, BaseUserInfo
+from learnware.market import BaseUserInfo, instantiate_learnware_market
+from learnware.reuse import AveragingReuser, EnsemblePruningReuser, FeatureAugmentReuser, JobSelectorReuser
 from learnware.specification import RKMETableSpecification, generate_rkme_table_spec, generate_semantic_spec
-from learnware.reuse import JobSelectorReuser, AveragingReuser, EnsemblePruningReuser, FeatureAugmentReuser
 from learnware.tests.templates import LearnwareTemplate, PickleModelTemplate, StatSpecTemplate
 
 learnware.init(logging_level=logging.WARNING)