TypeError in LocalDatasetProvider.dataset (multiple values for inst_processors) & AttributeError in ParallelExt on Colab

[WeiCANADA]

Description:

When running a standard Qlib workflow (e.g., examples/workflow_by_code.ipynb or examples/workflow_by_code.py) in a Colab environment, a TypeError occurs in LocalDatasetProvider.dataset, followed by an AttributeError in ParallelExt during exception handling. This prevents the workflow from completing.

Environment:

Qlib Version: 0.9.6 Python Version: 3.11 ( OS: Google Colab (Linux) Joblib Version: 1.5.1

TypeError Traceback (most recent call last)/usr/local/lib/python3.11/dist-packages/qlib/data/data.py in features(self, instruments, fields, start_time, end_time, freq, disk_cache, inst_processors) 1185 try:-> 1186 return DatasetD.dataset( 1187 instruments, fields, start_time, end_time, freq, disk_cache, inst_processors=inst_processorsTypeError: LocalDatasetProvider.dataset() got multiple values for argument 'inst_processors'During handling of the above exception, another exception occurred:AttributeError Traceback (most recent call last) 15 frames /usr/local/lib/python3.11/dist-packages/qlib/utils/paral.py in init(self, *args, **kwargs) 22 super(ParallelExt, self).init(*args, **kwargs) 23 if isinstance(self._backend, MultiprocessingBackend):---> 24 self._backend_args["maxtasksperchild"] = maxtasksperchild 25 26 AttributeError: 'ParallelExt' object has no attribute '_backend_args'

[arplusman]

I solved this issue by downgrading joblib using the command pip install joblib==1.2.0, but this incompatibility must be solved.

[majieforest]

I solved this issue by downgrading joblib using the command pip install joblib==1.2.0, but this incompatibility must be solved.

thanks, it really works.

[SunsetWolf]

Hi, @WeiCANADA Thank you for your interest in qlib. This issue has been fixed, please install the latest version of qlib or pull the latest main branch code and retry.