# Copyright (c) Owkin, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.

# Copyright (c) Owkin, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.

from typing import Tuple
import numpy as np
import torch

import datasets

class SlideFeaturesDataset:
    """Slide features dataset."""
    def __init__(self, *args, **kwargs):
        self.hf_dataset = datasets.oad_dataset(*args, **kwargs).with_format("torch")

    def __getitem__(self, item: np.int64) -> Tuple[torch.Tensor, torch.Tensor]:
        """
        Parameters
        ----------
        item: np.int64
            Index of item, will be converted to int.

        Returns
        -------
        Tuple[torch.Tensor, torch.Tensor]
            (1000, 768), ()
        """
        return (
            self.hf_dataset[int(item)]["features"],
            self.hf_dataset[int(item)]["label"].unsqueeze(0).float()
        )

    def __len__(self) -> int:
        return len(self.hf_dataset)

    @property
    def labels(self):
        return self.hf_dataset["label"]