Added skip tests

Author: satvshr

tests/test_datasets/test_dataset_functions.py

@@ -530,6 +530,7 @@ def test_deletion_of_cache_dir_faulty_download(self, patch):
         datasets_cache_dir = os.path.join(openml.config.get_cache_directory(), "datasets")
         assert len(os.listdir(datasets_cache_dir)) == 0
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_publish_dataset(self):
         arff_file_path = self.static_cache_dir / "org" / "openml" / "test" / "datasets" / "2" / "dataset.arff"
@@ -689,6 +690,7 @@ def test_attributes_arff_from_df_unknown_dtype(self):
             with pytest.raises(ValueError, match=err_msg):
                 attributes_arff_from_df(df)
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_create_dataset_numpy(self):
         data = np.array([[1, 2, 3], [1.2, 2.5, 3.8], [2, 5, 8], [0, 1, 0]]).T
@@ -723,6 +725,7 @@ def test_create_dataset_numpy(self):
         ), "Uploaded arff does not match original one"
         assert _get_online_dataset_format(dataset.id) == "arff", "Wrong format for dataset"
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_create_dataset_list(self):
         data = [
@@ -778,6 +781,7 @@ def test_create_dataset_list(self):
         ), "Uploaded ARFF does not match original one"
         assert _get_online_dataset_format(dataset.id) == "arff", "Wrong format for dataset"
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_create_dataset_sparse(self):
         # test the scipy.sparse.coo_matrix
@@ -926,6 +930,7 @@ def test_get_online_dataset_format(self):
             dataset_id
         ), "The format of the ARFF files is different"
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_create_dataset_pandas(self):
         data = [
@@ -1151,6 +1156,7 @@ def test_ignore_attributes_dataset(self):
                 paper_url=paper_url,
             )
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_publish_fetch_ignore_attribute(self):
         """Test to upload and retrieve dataset and check ignore_attributes"""
@@ -1270,6 +1276,7 @@ def test_create_dataset_row_id_attribute_error(self):
                 paper_url=paper_url,
             )
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_create_dataset_row_id_attribute_inference(self):
         # meta-information
@@ -1438,6 +1445,7 @@ def test_data_edit_non_critical_field(self):
         edited_dataset = openml.datasets.get_dataset(did)
         assert edited_dataset.description == desc
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_data_edit_critical_field(self):
         # Case 2
@@ -1490,6 +1498,7 @@ def test_data_edit_requires_valid_dataset(self):
             description="xor operation dataset",
         )
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_data_edit_cannot_edit_critical_field_if_dataset_has_task(self):
         # Need to own a dataset to be able to edit meta-data

tests/test_openml/test_api_calls.py

@@ -20,6 +20,7 @@ def test_too_long_uri(self):
         with pytest.raises(openml.exceptions.OpenMLServerError, match="URI too long!"):
             openml.datasets.list_datasets(data_id=list(range(10000)))
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @unittest.mock.patch("time.sleep")
     @unittest.mock.patch("requests.Session")
     @pytest.mark.test_server()

tests/test_tasks/test_task_functions.py

@@ -167,6 +167,7 @@ def test_get_task(self):
             os.path.join(openml.config.get_cache_directory(), "datasets", "1", "dataset_1.pq")
         )
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_get_task_lazy(self):
         task = openml.tasks.get_task(2, download_data=False)  # anneal; crossvalidation
@@ -224,6 +225,7 @@ def test_get_task_different_types(self):
         # Issue 538, get_task failing with clustering task.
         openml.tasks.functions.get_task(126033)
 
+    @pytest.mark.skip(reason="Pending resolution of #1657")
     @pytest.mark.test_server()
     def test_download_split(self):
         task = openml.tasks.get_task(1)  # anneal; crossvalidation