import torch
import torch.optim
from torch.utils.data import Dataset


class TestDataset(Dataset):
    pass


def test_collate_fn(batch):
    batch = list(filter(lambda x: x is not None, batch))
    if not batch:
        return torch.tensor([])  # Return an empty tensor if all items are faulty
    # Convert batch list to a tensor or any suitable format for your model
    # This depends on the structure of your data items
    return torch.utils.data.dataloader.default_collate(batch)
