diff --git a/tests/test_learnware_client/test_docker.py b/tests/test_learnware_client/test_docker.py
deleted file mode 100644
index 5a916cc..0000000
--- a/tests/test_learnware_client/test_docker.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import os
-import zipfile
-import numpy as np
-
-import learnware
-from learnware.client import LearnwareClient
-from learnware.client.container import LearnwaresContainer
-from learnware.learnware.reuse import AveragingReuser
-
-
-if __name__ == "__main__":
-    email = "liujd@lamda.nju.edu.cn"
-    token = "f7e647146a314c6e8b4e2e1079c4bca4"
-
-    client = LearnwareClient()
-    client.login(email, token)
-
-    root = os.path.dirname(__file__)
-    learnware_ids = ["00000084", "00000154", "00000155"]
-    zip_paths = [os.path.join(root, x) for x in ["1.zip", "2.zip", "3.zip"]]
-
-    for learnware_id, zip_path in zip(learnware_ids, zip_paths):
-        client.download_learnware(learnware_id, zip_path)
-
-    learnware_list = [client.load_learnware(learnware_path=zippath) for zippath in zip_paths]
-    with LearnwaresContainer(learnware_list, zip_paths, mode="docker") as env_container:
-        learnware_list = env_container.get_learnwares_with_container()
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.random(size=(20, 13))
-        print(reuser.predict(input_array))
-
-        for learnware in learnware_list:
-            print(learnware.id, learnware.predict(input_array))
diff --git a/tests/test_learnware_client/test_load.py b/tests/test_learnware_client/test_load.py
deleted file mode 100644
index 26b0bd5..0000000
--- a/tests/test_learnware_client/test_load.py
+++ /dev/null
@@ -1,75 +0,0 @@
-import os
-import unittest
-import zipfile
-import numpy as np
-
-import learnware
-from learnware.learnware import get_learnware_from_dirpath
-from learnware.client import LearnwareClient
-from learnware.client.container import ModelCondaContainer, LearnwaresContainer
-from learnware.learnware.reuse import AveragingReuser
-
-
-class TestLearnwareLoad(unittest.TestCase):
-    def setUp(self):
-        unittest.TestCase.setUpClass()
-        email = "liujd@lamda.nju.edu.cn"
-        token = "f7e647146a314c6e8b4e2e1079c4bca4"
-
-        self.client = LearnwareClient()
-        self.client.login(email, token)
-
-        root = os.path.dirname(__file__)
-        self.learnware_ids = ["00000084", "00000154", "00000155"]
-        self.zip_paths = [os.path.join(root, x) for x in ["1.zip", "2.zip", "3.zip"]]
-
-    def test_load_single_learnware_by_zippath(self):
-        for learnware_id, zip_path in zip(self.learnware_ids, self.zip_paths):
-            self.client.download_learnware(learnware_id, zip_path)
-
-        learnware_list = [
-            self.client.load_learnware(learnware_path=zippath, runnable_option="conda_env")
-            for zippath in self.zip_paths
-        ]
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.random(size=(20, 13))
-        print(reuser.predict(input_array))
-
-        for learnware in learnware_list:
-            print(learnware.id, learnware.predict(input_array))
-
-    def test_load_multi_learnware_by_zippath(self):
-        for learnware_id, zip_path in zip(self.learnware_ids, self.zip_paths):
-            self.client.download_learnware(learnware_id, zip_path)
-
-        learnware_list = self.client.load_learnware(learnware_path=self.zip_paths, runnable_option="conda_env")
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.random(size=(20, 13))
-        print(reuser.predict(input_array))
-
-        for learnware in learnware_list:
-            print(learnware.id, learnware.predict(input_array))
-
-    def test_load_single_learnware_by_id(self):
-        learnware_list = [
-            self.client.load_learnware(learnware_id=idx, runnable_option="conda_env") for idx in self.learnware_ids
-        ]
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.random(size=(20, 13))
-        print(reuser.predict(input_array))
-
-        for learnware in learnware_list:
-            print(learnware.id, learnware.predict(input_array))
-
-    def test_load_multi_learnware_by_id(self):
-        learnware_list = self.client.load_learnware(learnware_id=self.learnware_ids, runnable_option="conda_env")
-        reuser = AveragingReuser(learnware_list, mode="vote_by_label")
-        input_array = np.random.random(size=(20, 13))
-        print(reuser.predict(input_array))
-
-        for learnware in learnware_list:
-            print(learnware.id, learnware.predict(input_array))
-
-
-if __name__ == "__main__":
-    unittest.main()