| import datasets |
| from datasets import DatasetInfo, DownloadManager |
|
|
| from NASA_OSDR import NasaOsdr |
|
|
|
|
| def test_inherit_generator_base_builder_works(): |
| class Child(datasets.GeneratorBasedBuilder): |
| BUILDER_CONFIGS = [ |
| datasets.BuilderConfig( |
| name="some dataset", |
| version=datasets.Version("1.0.0"), |
| description="some description", |
| ) |
| ] |
|
|
| DEFAULT_CONFIG_NAME = "some dataset" |
|
|
| def _info(self) -> DatasetInfo: |
| return datasets.DatasetInfo( |
| description="""dadada """, |
| features=None, |
| supervised_keys=None, |
| homepage="dada", |
| license="dada", |
| citation="dsada", |
| ) |
|
|
| child = Child() |
|
|
| assert child |
|
|
|
|
| def test_generate_examples(): |
| dataset = NasaOsdr() |
| train_data = dataset._generate_examples(assays_file='data/assays.csv', samples_file='data/samples.csv') |
| idx, sample = next(iter(train_data)) |
| print(idx, sample.keys()) |
|
|
|
|
| def test_load_dataset(): |
| from datasets import load_dataset |
| dataset = load_dataset("nasa_osdr.py") |
| print(len(dataset["train"])) |
|
|
|
|
| |
| |
| |
| |
|
|
