import torch
from datasets import Dataset

from lerobot.common.datasets.push_dataset_to_hub.utils import calculate_episode_data_index
from lerobot.common.datasets.utils import (
    hf_transform_to_torch,
)


def test_calculate_episode_data_index():
    dataset = Dataset.from_dict(
        {
            "timestamp": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6],
            "index": [0, 1, 2, 3, 4, 5],
            "episode_index": [0, 0, 1, 2, 2, 2],
        },
    )
    dataset.set_transform(hf_transform_to_torch)
    episode_data_index = calculate_episode_data_index(dataset)
    assert torch.equal(episode_data_index["from"], torch.tensor([0, 2, 3]))
    assert torch.equal(episode_data_index["to"], torch.tensor([2, 3, 6]))