import numpy as np
import datasets

class HyperPenguinPix(datasets.GeneratorBasedBuilder):
    def _info(self):
        return datasets.DatasetInfo(
            features=datasets.Features({
                'feature': datasets.Sequence(datasets.Value('int32')),
                'target': datasets.Value('int64'),
            }),
            supervised_keys=('image', 'label'),
            homepage='https://033labcodes.github.io/igrass24_penguin/',
        )

    def _split_generators(self, dl_manager): 
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={'file_path': dl_manager.download(['data/train/data.npz'])}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={'file_path': dl_manager.download(['data/test/data.npz'])}
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={'file_path': dl_manager.download(['data/validation/data.npz'])}
            ),
        ]

    def _generate_examples(self, file_path):

        data = np.load(file_path[0])
        features = data['features']
        targets = data['targets']
        for idx in range(len(features)):
            yield idx, {
                'feature': features[idx],
                'target': targets[idx],
            }