# -*- coding: utf-8 -*-

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# holder of all proprietary rights on this computer program.
# You can only use this computer program if you have closed
# a license agreement with MPG or you get the right to use the computer
# program from someone who is authorized to grant you that right.
# Any use of the computer program without a valid license is prohibited and
# liable to prosecution.
#
# Copyright©2020 Max-Planck-Gesellschaft zur Förderung
# der Wissenschaften e.V. (MPG). acting on behalf of its Max Planck Institute
# for Intelligent Systems. All rights reserved.
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# Contact: ps-license@tuebingen.mpg.de

from typing import List, Dict
import torch
from torch import Tensor


def lengths_to_mask(lengths: List[int], device: torch.device) -> Tensor:
    lengths = torch.tensor(lengths, device=device)
    max_len = max(lengths)
    mask = torch.arange(max_len, device=device).expand(len(lengths), max_len) < lengths.unsqueeze(1)
    return mask