benchmarks/rnnt/ootb/inference/pytorch/utils/download_librispeech.py [25:60]:
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parser.add_argument('csv', type=str,
                    help='CSV file with urls and checksums to download.')
parser.add_argument('dest', type=str,
                    help='Download destnation folder.')
parser.add_argument('-e', type=str, default=None,
                    help='Extraction destnation folder. Defaults to download folder if not provided')
parser.add_argument('--skip_download', action='store_true',
                    help='Skip downloading the files')
parser.add_argument('--skip_checksum', action='store_true',
                    help='Skip checksum')
parser.add_argument('--skip_extract', action='store_true',
                    help='Skip extracting files')
args = parser.parse_args()
args.e = args.e or args.dest


df = pd.read_csv(args.csv, delimiter=',')


if not args.skip_download:
    for url in df.url:
        fname = url.split('/')[-1]
        print("Downloading %s:" % fname)
        download_file(url=url, dest_folder=args.dest, fname=fname)
else:
    print("Skipping file download")


if not args.skip_checksum:
    for index, row in df.iterrows():
        url = row['url']
        md5 = row['md5']
        fname = url.split('/')[-1]
        fpath = os.path.join(args.dest, fname)
        print("Verifing %s: " % fname, end='')
        ret = md5_checksum(fpath=fpath, target_hash=md5)
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benchmarks/rnnt/ootb/train/utils/download_librispeech.py [24:59]:
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parser.add_argument('csv', type=str,
                    help='CSV file with urls and checksums to download.')
parser.add_argument('dest', type=str,
                    help='Download destnation folder.')
parser.add_argument('-e', type=str, default=None,
                    help='Extraction destnation folder. Defaults to download folder if not provided')
parser.add_argument('--skip_download', action='store_true',
                    help='Skip downloading the files')
parser.add_argument('--skip_checksum', action='store_true',
                    help='Skip checksum')
parser.add_argument('--skip_extract', action='store_true',
                    help='Skip extracting files')
args = parser.parse_args()
args.e = args.e or args.dest


df = pd.read_csv(args.csv, delimiter=',')


if not args.skip_download:
    for url in df.url:
        fname = url.split('/')[-1]
        print("Downloading %s:" % fname)
        download_file(url=url, dest_folder=args.dest, fname=fname)
else:
    print("Skipping file download")


if not args.skip_checksum:
    for index, row in df.iterrows():
        url = row['url']
        md5 = row['md5']
        fname = url.split('/')[-1]
        fpath = os.path.join(args.dest, fname)
        print("Verifing %s: " % fname, end='')
        ret = md5_checksum(fpath=fpath, target_hash=md5)
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