remove useless code

qlib/finco/data_cache_demo.py

@@ -1,53 +0,0 @@
-# Copyright (c) Microsoft Corporation.
-# Licensed under the MIT License.
-"""
-    The motivation of this demo
-    - To show the data modules of Qlib is Serializable, users can dump processed data to disk to avoid duplicated data preprocessing
-"""
-
-from copy import deepcopy
-from pathlib import Path
-import pickle
-from pprint import pprint
-import subprocess
-import yaml
-from qlib.log import TimeInspector
-
-from qlib import init
-from qlib.data.dataset.handler import DataHandlerLP
-from qlib.utils import init_instance_by_config
-
-# For general purpose, we use relative path
-DIRNAME = Path(__file__).absolute().resolve().parent / "finco_workspace"
-
-if __name__ == "__main__":
-    init()
-
-    config_path = Path("/home/xuyang/workspace/qlib/qlib/finco/finco_workspace/workflow_config.yaml")
-
-    # 1) show original time
-    # with TimeInspector.logt("The original time without handler cache:"):
-    #     subprocess.run(f"qrun {config_path}", shell=True)
-
-    # 2) dump handler
-    task_config = yaml.safe_load(config_path.open())
-    # hd_conf = task_config["task"]["dataset"]["kwargs"]["handler"]
-    # pprint(hd_conf)
-    # hd: DataHandlerLP = init_instance_by_config(hd_conf)
-    hd_path = DIRNAME / "handler.pkl"
-    # hd.to_pickle(hd_path, dump_all=True)
-
-    # 3) create new task with handler cache
-    new_task_config = deepcopy(task_config)
-    new_task_config["task"]["dataset"]["kwargs"]["handler"] = f"file://{hd_path}"
-    new_task_config["sys"] = {"path": [str(config_path.parent.resolve())]}
-    new_task_path = DIRNAME / "workflow_config.yaml"
-    print("The location of the new task", new_task_path)
-
-    # save new task
-    with new_task_path.open("w") as f:
-        yaml.safe_dump(new_task_config, f, indent=4, sort_keys=False)
-
-    # 4) train model with new task
-    # with TimeInspector.logt("The time for task with handler cache:"):
-    #     subprocess.run(f"qrun {new_task_path}", shell=True)