pyiceberg/partitioning.py [106:117]:
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    @model_validator(mode="before")
    @classmethod
    def map_source_ids_onto_source_id(cls, data: Any) -> Any:
        if isinstance(data, dict):
            if "source-id" not in data and (source_ids := data["source-ids"]):
                if isinstance(source_ids, list):
                    if len(source_ids) == 0:
                        raise ValueError("Empty source-ids is not allowed")
                    if len(source_ids) > 1:
                        raise ValueError("Multi argument transforms are not yet supported")
                    data["source-id"] = source_ids[0]
        return data
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pyiceberg/table/sorting.py [97:108]:
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    @model_validator(mode="before")
    @classmethod
    def map_source_ids_onto_source_id(cls, data: Any) -> Any:
        if isinstance(data, dict):
            if "source-id" not in data and (source_ids := data["source-ids"]):
                if isinstance(source_ids, list):
                    if len(source_ids) == 0:
                        raise ValueError("Empty source-ids is not allowed")
                    if len(source_ids) > 1:
                        raise ValueError("Multi argument transforms are not yet supported")
                    data["source-id"] = source_ids[0]
        return data
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