del duplicate code

tests/test_client/test_reuse.py

@@ -1,42 +0,0 @@
-import zipfile
-import numpy as np
-
-from learnware.learnware import get_learnware_from_dirpath, Learnware
-from learnware.market import EasyMarket
-from learnware.client.container import ModelEnvContainer, LearnwaresContainer
-from learnware.learnware.reuse import AveragingReuser
-
-if __name__ == "__main__":
-    semantic_specification = dict()
-    semantic_specification["Data"] = {"Type": "Class", "Values": ["Text"]}
-    semantic_specification["Task"] = {"Type": "Class", "Values": ["Ranking"]}
-    semantic_specification["Library"] = {"Type": "Class", "Values": ["Scikit-learn"]}
-    semantic_specification["Scenario"] = {"Type": "Tag", "Values": "Financial"}
-    semantic_specification["Name"] = {"Type": "String", "Values": "test"}
-    semantic_specification["Description"] = {"Type": "String", "Values": "test"}
-
-    zip_paths = [
-        "/home/bixd/workspace/learnware/Learnware/tests/test_learnware_client/rf_tic.zip",
-        "/home/bixd/workspace/learnware/Learnware/tests/test_learnware_client/svc_tic.zip",
-    ]
-    dir_paths = [
-        "/home/bixd/workspace/learnware/Learnware/tests/test_learnware_client/rf_tic",
-        "/home/bixd/workspace/learnware/Learnware/tests/test_learnware_client/svc_tic",
-    ]
-
-    learnware_list = []
-    for id, (zip_path, dir_path) in enumerate(zip(zip_paths, dir_paths)):
-        with zipfile.ZipFile(zip_path, "r") as z_file:
-            z_file.extractall(dir_path)
-
-        learnware = get_learnware_from_dirpath(f"test_id{id}", semantic_specification, dir_path)
-        learnware_list.append(learnware)
-
-    with LearnwaresContainer(learnware_list, zip_paths) as env_container:
-
-        learnware_list = env_container.get_learnware_list_with_container()
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.randint(0, 3, size=(20, 9))
-        print(reuser.predict(input_array).argmax(axis=1))
-        for id, ind_learner in enumerate(learnware_list):
-            print(f"learner_{id}", reuser.predict(input_array).argmax(axis=1))

tests/test_client/test_learnware.py → tests/test_learnware_client/test_learnware.py

@@ -1,6 +1,3 @@
-import os
-
-import learnware
 from learnware.client.learnware_client import LearnwareClient