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| 1 | +from omnipy import convert_dataset |
| 2 | +from omnipy.data.dataset import Dataset, ParamDataset |
| 3 | +from omnipy.data.model import Model, ParamModel |
| 4 | + |
| 5 | + |
| 6 | +class FloatModel(Model[float]): |
| 7 | + ... |
| 8 | + |
| 9 | + |
| 10 | +class IntModel(Model[int]): |
| 11 | + ... |
| 12 | + |
| 13 | + |
| 14 | +class RoundedIntModel(ParamModel[float | int, bool]): |
| 15 | + @classmethod |
| 16 | + def _parse_data(cls, data: float | int, round_to_nearest: bool = False) -> int: |
| 17 | + if isinstance(data, int): |
| 18 | + return data |
| 19 | + |
| 20 | + return round(data) if round_to_nearest else int(data) |
| 21 | + |
| 22 | + ... |
| 23 | + |
| 24 | + |
| 25 | +class FloatDataset(Dataset[FloatModel]): |
| 26 | + ... |
| 27 | + |
| 28 | + |
| 29 | +class IntDataset(Dataset[IntModel]): |
| 30 | + ... |
| 31 | + |
| 32 | + |
| 33 | +class RoundedIntDataset(ParamDataset[RoundedIntModel, bool]): |
| 34 | + ... |
| 35 | + |
| 36 | + |
| 37 | +def test_convert_dataset(): |
| 38 | + floats = FloatDataset(a=1.23, b=3.6) |
| 39 | + ints = convert_dataset.run(floats, dataset_cls=IntDataset) |
| 40 | + assert isinstance(ints, IntDataset) |
| 41 | + assert ints.to_data() == dict(a=1, b=3) |
| 42 | + |
| 43 | + |
| 44 | +def test_convert_dataset_with_default_params(): |
| 45 | + floats = FloatDataset(a=1.23, b=3.6) |
| 46 | + ints = convert_dataset.run(floats, dataset_cls=RoundedIntDataset) |
| 47 | + assert isinstance(ints, RoundedIntDataset) |
| 48 | + assert ints.to_data() == dict(a=1, b=3) |
| 49 | + |
| 50 | + |
| 51 | +def test_convert_dataset_with_params(): |
| 52 | + floats = FloatDataset(a=1.23, b=3.6) |
| 53 | + ints = convert_dataset.run(floats, dataset_cls=RoundedIntDataset, round_to_nearest=True) |
| 54 | + assert isinstance(ints, RoundedIntDataset) |
| 55 | + assert ints.to_data() == dict(a=1, b=4) |
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