Erases unused packages with autoflake

config.py

@@ -1,10 +1,8 @@
 import json
-import os
 import warnings
 
 from utils.param_keys import PIPELINE_STEP, INPUT_PATH, OUTPUT_PATH
 from utils.param_keys.features import FEATURE_SET, FEATURE_PARAMS
-from tqdm import tqdm
 
 def get_model_params_list(alg_json_file: str) :#-> list[dict]:
     """

gedi/augmentation.py

@@ -1,8 +1,7 @@
 import pandas as pd
 from collections import Counter
 from datetime import datetime as dt
-from imblearn.over_sampling import SMOTE, SVMSMOTE, BorderlineSMOTE, KMeansSMOTE
-from sklearn.preprocessing import Normalizer
+from imblearn.over_sampling import SMOTE
 from gedi.utils.matrix_tools import insert_missing_data
 from utils.param_keys import INPUT_PATH, OUTPUT_PATH
 from utils.param_keys.augmentation import AUGMENTATION_PARAMS, NO_SAMPLES, FEATURE_SELECTION, METHOD

gedi/benchmark.py

@@ -5,15 +5,12 @@ import pandas as pd
 import subprocess
 
 from datetime import datetime as dt
-from functools import partial, partialmethod
+from functools import partialmethod
 from itertools import repeat
-from pathlib import Path
-from pm4py import read_xes, convert_to_bpmn, read_bpmn, convert_to_petri_net, check_soundness
+from pm4py import convert_to_bpmn, read_bpmn, convert_to_petri_net, check_soundness
 from pm4py import discover_petri_net_inductive, discover_petri_net_ilp, discover_petri_net_heuristics
-from pm4py import fitness_alignments, fitness_token_based_replay
-from pm4py import precision_alignments, precision_token_based_replay
-from pm4py.algo.evaluation.generalization import algorithm as generalization_evaluator
-from pm4py.algo.evaluation.simplicity import algorithm as simplicity_evaluator
+from pm4py import fitness_alignments
+from pm4py import precision_alignments
 from pm4py.objects.bpmn.obj import BPMN
 from pm4py.objects.log.importer.xes import importer as xes_importer
 from gedi.utils.io_helpers import dump_features_json

gedi/features.py

@@ -1,14 +1,12 @@
 import json
 import multiprocessing
-import numpy as np
 import pandas as pd
 import os
 
 from datetime import datetime as dt
 from functools import partial
 from feeed.feature_extractor import extract_features
-from pathlib import Path, PurePath
-from sklearn.impute import SimpleImputer
+from pathlib import Path
 from utils.param_keys import INPUT_PATH
 from utils.param_keys.features import FEATURE_PARAMS, FEATURE_SET
 from gedi.utils.io_helpers import dump_features_json

gedi/plotter.py

@@ -12,14 +12,13 @@ from matplotlib.axes import Axes
 from matplotlib.figure import Figure
 from matplotlib.lines import Line2D
 from utils.param_keys import PLOT_TYPE, PROJECTION, EXPLAINED_VAR, PLOT_3D_MAP
-from utils.param_keys import INPUT_PATH, OUTPUT_PATH, PIPELINE_STEP
+from utils.param_keys import OUTPUT_PATH, PIPELINE_STEP
 from utils.param_keys.generator import GENERATOR_PARAMS, EXPERIMENT, PLOT_REFERENCE_FEATURE
 from utils.param_keys.plotter import REAL_EVENTLOG_PATH, FONT_SIZE, BOXPLOT_WIDTH
 from collections import defaultdict
 
 from sklearn.preprocessing import Normalizer, StandardScaler
 from sklearn.decomposition import PCA
-from sklearn.metrics.pairwise import euclidean_distances
 from gedi.generator import get_tasks
 from gedi.utils.io_helpers import get_keys_abbreviation
 from gedi.utils.io_helpers import read_csvs, select_instance

gedi/utils/io_helpers.py

@@ -6,7 +6,7 @@ import re
 import shutil
 import numpy as np
 from collections import defaultdict
-from pathlib import Path, PurePath
+from pathlib import PurePath
 from scipy.spatial.distance import euclidean
 
 def select_instance(source_dir, log_path, destination=os.path.join("output","generated","instance_selection")):

setup.py

@@ -1,4 +1,4 @@
-from setuptools import setup, find_packages
+from setuptools import setup
 import os
 
 with open("README.md", "r") as fh:

utils/config_fabric.py

@@ -1,5 +1,3 @@
-from copy import deepcopy
-from importlib import reload
 from itertools import product as cproduct
 from itertools import combinations
 from pathlib import Path

utils/merge_csvs.py

@@ -1,9 +1,7 @@
 import os
 import pandas as pd
 import sys
-import tqdm
 
-from gedi.utils.io_helpers import sort_files
 
 FILE_START = sys.argv[1]
 ROOT_PATH, FILE_START = os.path.split(FILE_START)