Make it easier to chain data transformers

[redeboer]

From another project:

from __future__ import annotations

from attrs import frozen, field
from tensorwaves.interface import DataSample, DataTransformer


@frozen
class ChainedDataTransformer(DataTransformer):
    transformers: tuple[DataTransformer] = field(converter=tuple)
    extend: bool = True

    def __call__(self, data: DataSample) -> DataSample:
        new_data = dict(data)
        weights = new_data.get("weights")
        for transformer in self.transformers:
            if self.extend:
                new_data.update(transformer(new_data))
            else:
                new_data = transformer(new_data)
        if weights is not None:
            new_data["weights"] = weights
        return new_data