services/worker/src/worker/job_runners/dataset/compatible_libraries.py [420:437]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            else:
                args = ""
            if len(loading_code["arguments"]["splits"]) == 1:
                data_file = next(iter(loading_code["arguments"]["splits"].values()))
                loading_code["code"] = PANDAS_CODE.format(
                    function=function, dataset=dataset, data_file=data_file, args=args, comment=comment
                )
            else:
                loading_code["code"] = PANDAS_CODE_SPLITS.format(
                    function=function,
                    dataset=dataset,
                    splits=loading_code["arguments"]["splits"],
                    first_split=next(iter(loading_code["arguments"]["splits"])),
                    args=args,
                    comment=comment,
                )
    else:
        library = "dask"
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



services/worker/src/worker/job_runners/dataset/compatible_libraries.py [485:502]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
            else:
                args = ""
            if len(loading_code["arguments"]["splits"]) == 1:
                data_file = next(iter(loading_code["arguments"]["splits"].values()))
                loading_code["code"] = PANDAS_CODE.format(
                    function=function, dataset=dataset, data_file=data_file, args=args, comment=comment
                )
            else:
                loading_code["code"] = PANDAS_CODE_SPLITS.format(
                    function=function,
                    dataset=dataset,
                    splits=loading_code["arguments"]["splits"],
                    first_split=next(iter(loading_code["arguments"]["splits"])),
                    args=args,
                    comment=comment,
                )
    else:
        library = "dask"
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