# from glob import glob
# from random import shuffle
# from data_conf import data_root
# from tqdm import tqdm
# import os
# filenames = glob(f"{data_root}/**/*.wav", recursive=True)  # [:10]
# filenames += glob(f"{data_root}/**/*.mp3", recursive=True)  # [:10]
# filenames = [f for f in tqdm(filenames)]
# shuffle(filenames)

# val_num = 4
# print(len(filenames))
# train = filenames[:-val_num]
# val = filenames[-val_num:]
# train.sort()
# val.sort()

# with open('dump/train_files.list', 'w') as f:
#     f.write('\n'.join(train))
# with open('dump/val_files.list', 'w') as f:
#     f.write('\n'.join(val))


# with open('dump/train_files.list','w') as f:
#     train_files = open('dump/train_files copy.list').readlines()
#     train_files = [f.strip() for f in train_files if 'wenet' not in f]
#     f.write('\n'.join(train_files))


import glob


in_dir = '/mnt/ttsa3/users/yijin.xing/wave_vaegan/eval_data'
tgt_path = 'dump/eval_files.list'
all_wavs = glob.glob(f'{in_dir}/**/*.wav', recursive=True)

with open(tgt_path, 'w') as f:
    f.write('\n'.join(all_wavs))