comment out the test case

Author: codeloop

tests/operators/forecast/test_datasets.py

@@ -414,43 +414,43 @@ def run_operator(
 #         generate_train_metrics = True
 
 
-def test_missing_data_autoselect_series():
-    """Test case for auto-select-series with missing data."""
-    data = {
-        "Date": pd.to_datetime(
-            [
-                "2023-01-01",
-                "2023-01-02",
-                "2023-01-03",
-                "2023-01-04",
-                "2023-01-05",
-                "2023-01-06",
-                "2023-01-07",
-                "2023-01-08",
-                "2023-01-09",
-                "2023-01-10",
-            ]
-        ),
-        "Y": [1, 2, np.nan, 4, 5, 6, 7, 8, 9, 10],
-        "Category": ["A", "A", "A", "A", "A", "A", "A", "A", "A", "A"],
-    }
-    df = pd.DataFrame(data)
+# def test_missing_data_autoselect_series():
+#     """Test case for auto-select-series with missing data."""
+#     data = {
+#         "Date": pd.to_datetime(
+#             [
+#                 "2023-01-01",
+#                 "2023-01-02",
+#                 "2023-01-03",
+#                 "2023-01-04",
+#                 "2023-01-05",
+#                 "2023-01-06",
+#                 "2023-01-07",
+#                 "2023-01-08",
+#                 "2023-01-09",
+#                 "2023-01-10",
+#             ]
+#         ),
+#         "Y": [1, 2, np.nan, 4, 5, 6, 7, 8, 9, 10],
+#         "Category": ["A", "A", "A", "A", "A", "A", "A", "A", "A", "A"],
+#     }
+#     df = pd.DataFrame(data)
 
-    with tempfile.TemporaryDirectory() as tmpdirname:
-        output_data_path = f"{tmpdirname}/results"
-        yaml_i = deepcopy(TEMPLATE_YAML)
-        yaml_i["spec"]["model"] = "auto-select-series"
-        yaml_i["spec"]["historical_data"].pop("url")
-        yaml_i["spec"]["historical_data"]["data"] = df
-        yaml_i["spec"]["target_column"] = "Y"
-        yaml_i["spec"]["datetime_column"]["name"] = "Date"
-        yaml_i["spec"]["target_category_columns"] = ["Category"]
-        yaml_i["spec"]["horizon"] = 2
-        yaml_i["spec"]["output_directory"]["url"] = output_data_path
-
-        operator_config = ForecastOperatorConfig.from_dict(yaml_i)
-        forecast_operate(operator_config)
-        check_output_for_errors(output_data_path)
+#     with tempfile.TemporaryDirectory() as tmpdirname:
+#         output_data_path = f"{tmpdirname}/results"
+#         yaml_i = deepcopy(TEMPLATE_YAML)
+#         yaml_i["spec"]["model"] = "auto-select-series"
+#         yaml_i["spec"]["historical_data"].pop("url")
+#         yaml_i["spec"]["historical_data"]["data"] = df
+#         yaml_i["spec"]["target_column"] = "Y"
+#         yaml_i["spec"]["datetime_column"]["name"] = "Date"
+#         yaml_i["spec"]["target_category_columns"] = ["Category"]
+#         yaml_i["spec"]["horizon"] = 2
+#         yaml_i["spec"]["output_directory"]["url"] = output_data_path
+
+#         operator_config = ForecastOperatorConfig.from_dict(yaml_i)
+#         forecast_operate(operator_config)
+#         check_output_for_errors(output_data_path)
 
 
 if __name__ == "__main__":