# Copyright 2021 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import wget
import torch
import os
from types import SimpleNamespace
from torchvision.datasets.utils import download_url

class Configs(SimpleNamespace):

    def __init__(self, dictionary, **kwargs):
        super().__init__(**kwargs)
        for key, value in dictionary.items():
            if isinstance(value, dict):
                self.__setattr__(key, Configs(value))
            else:
                self.__setattr__(key, value)

    def __getattribute__(self, value):
        try:
            return super().__getattribute__(value)
        except AttributeError:
            return None

def get_gather_index(txt_lens, num_bbs, batch_size, max_len, out_size):
    # assert len(txt_lens) == len(num_bbs) == batch_size
    gather_index = torch.arange(0, out_size, dtype=torch.long,
                                ).unsqueeze(0).repeat(len(num_bbs), 1)

    # for i, (tl, nbb) in enumerate(zip(txt_lens, num_bbs)):
    #    gather_index.data[i, tl:tl+nbb] = torch.arange(max_len, max_len+nbb,
    #                                                   dtype=torch.long).data
    return gather_index

def download_file(url, save_path):
    filename = os.path.basename(url)
    download_url(url, save_path, filename)