Exemplo n.º 1
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    class TestDataset(Dataset):
        feat1 = Feature(shape=(1, 2, 3), dtype=int)
        feat2 = Feature(shape=None,
                        dtype=str,
                        metadata=Metadata(abc=123, xyz=False, pi=3.14))

        class DefaultMetadata:
            attr1 = "val1"
            attr2 = "val2"
Exemplo n.º 2
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    def __make_random_feature():
        shape = (None if random.random() < 0.2 else tuple(
            random.randint(1, 50) for _ in range(random.randint(1, 4))))
        #  dtype = random.choice([str, int, float, bool, np.uint8, np.float32])
        dtype = random.choice([str])
        metadata = make_random_metadata_object()

        return Feature(shape=shape, dtype=dtype, metadata=metadata)
Exemplo n.º 3
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def test_feature_eq(make_random_feature):
    feat1 = make_random_feature()
    feat2 = Feature(**feat1.dict())
    assert feat1 is not feat2
    assert feat1 == feat2

    feat3 = make_random_feature()
    while feat3.dict() == feat1.dict():
        feat3 = make_random_feature()
    assert feat3 != feat1
Exemplo n.º 4
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def test_dataset_subclass():
    class TestDataset(Dataset):
        feat1 = Feature(shape=(1, 2, 3), dtype=int)
        feat2 = Feature(shape=None,
                        dtype=str,
                        metadata=Metadata(abc=123, xyz=False, pi=3.14))

        class DefaultMetadata:
            attr1 = "val1"
            attr2 = "val2"

    assert TestDataset.features["feat1"] == Feature(shape=(1, 2, 3), dtype=int)
    assert TestDataset.features["feat2"] == Feature(shape=None,
                                                    dtype=str,
                                                    metadata=Metadata(
                                                        abc=123,
                                                        xyz=False,
                                                        pi=3.14))

    assert TestDataset.metadata["attr1"] == "val1"
    assert TestDataset.metadata["attr2"] == "val2"
Exemplo n.º 5
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    class DatasetB(DatasetY, DatasetZ):
        feature = Feature(shape=None, dtype=int, metadata=Metadata(source="B"))

        class DefaultMetadata:
            source = "B"
Exemplo n.º 6
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    class DatasetX(Dataset):
        feature = Feature(shape=None, dtype=int, metadata=Metadata(source="X"))

        class DefaultMetadata:
            source = "X"
Exemplo n.º 7
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def test_feature(make_random_metadata_object):
    metadata = make_random_metadata_object()
    vector_feat = Feature(shape=(123, ), dtype=int, metadata=metadata)
    assert vector_feat.shape == (123, )
    assert vector_feat.dtype == np.dtype(int)
    assert vector_feat.metadata == metadata
Exemplo n.º 8
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def test_feature_serialize_deserialize(make_random_feature):
    feat = make_random_feature()
    feat_deserialized = Feature.deserialize(feat.serialize())
    assert feat_deserialized == feat