human
Complete the below
def download_and_uncompress_zip(zip_url, dataset_dir):

    ''''Downloads the `zip_url` and uncompresses it locally.
    From: https://github.com/tensorflow/models/blob/master/slim/datasets/dataset_utils.py
    Args:
    zip_url: The URL of a zip file.
    dataset_dir: The directory where the temporary files are stored.'
    '''
 ... What is a the Python code you requested?
assistant
#Here is the Python code you requested.
    filename = zip_url.split('/')[(-1)]
    filepath = os.path.join(dataset_dir, filename)
    def _progress(count, block_size, total_size):
        sys.stdout.write(('\r>>    Downloading    %s    %.1f%%' % (filename, ((float((count * block_size)) / float(total_size)) * 100.0))))
        sys.stdout.flush()
    if tf.gfile.Exists(filepath):
        print('Zip    file    already    exist.    Skip    download..', filepath)
    else:
        (filepath, _) = urllib.request.urlretrieve(zip_url, filepath, _progress)
        print()
        statinfo = os.stat(filepath)
        print('Successfully    downloaded', filename, statinfo.st_size, 'bytes.')
    with zipfile.ZipFile(filepath) as f:
        print('Extracting    ', filepath)
        f.extractall(dataset_dir)
        print('Successfully    extracted')