Python zipfile.ZipFile() Examples

def downloadDemo(which):
    try:
        downloadDir = tempfile.mkdtemp()
        archivePath = "{}/svviz-data.zip".format(downloadDir)

        # logging.info("Downloading...")
        downloadWithProgress("http://svviz.github.io/svviz/assets/examples/{}.zip".format(which), archivePath)
        
        logging.info("Decompressing...")
        archive = zipfile.ZipFile(archivePath)
        archive.extractall("{}".format(downloadDir))

        if not os.path.exists("svviz-examples"):
            os.makedirs("svviz-examples/")

        shutil.move("{temp}/{which}".format(temp=downloadDir, which=which), "svviz-examples/")
    except Exception as e:
        print("error downloading and decompressing example data: {}".format(e))
        return False

    if not os.path.exists("svviz-examples"):
        print("error finding example data after download and decompression")
        return False
    return True 

def get_cifar10(data_dir):
    if not os.path.isdir(data_dir):
        os.system("mkdir " + data_dir)
    cwd = os.path.abspath(os.getcwd())
    os.chdir(data_dir)
    if (not os.path.exists('train.rec')) or \
       (not os.path.exists('test.rec')) :
        import urllib, zipfile, glob
        dirname = os.getcwd()
        zippath = os.path.join(dirname, "cifar10.zip")
        urllib.urlretrieve("http://data.mxnet.io/mxnet/data/cifar10.zip", zippath)
        zf = zipfile.ZipFile(zippath, "r")
        zf.extractall()
        zf.close()
        os.remove(zippath)
        for f in glob.glob(os.path.join(dirname, "cifar", "*")):
            name = f.split(os.path.sep)[-1]
            os.rename(f, os.path.join(dirname, name))
        os.rmdir(os.path.join(dirname, "cifar"))
    os.chdir(cwd)

# data 

def pickle_load(path, compression=False):
    """Unpickle a possible compressed pickle.

    Parameters
    ----------
    path: str
        path to the output file
    compression: bool
        if true assumes that pickle was compressed when created and attempts decompression.

    Returns
    -------
    obj: object
        the unpickled object
    """

    if compression:
        with zipfile.ZipFile(path, "r", compression=zipfile.ZIP_DEFLATED) as myzip:
            with myzip.open("data") as f:
                return pickle.load(f)
    else:
        with open(path, "rb") as f:
            return pickle.load(f) 

def __call__(self, args, env):
        samples_dir = env.get('samples-dir')

        print("Downloading unique objects to {}.".format(samples_dir))

        src_dir = self.download_files([_URL], env=env, dir=env.get('cache-dir'))
        path = os.path.join(src_dir, "ObjectsAll.zip")

        zipf = zipfile.ZipFile(path, 'r')
        zipf.extractall(src_dir)
        zipf.close()

        for file in os.listdir(os.path.join(src_dir, "OBJECTSALL")):
            shutil.copy(os.path.join(src_dir, "OBJECTSALL", file), samples_dir)

        shutil.rmtree(src_dir)

        print("Finished downloading unique objects.") 

def __call__(self, args, env):
        samples_dir = env.get('samples-dir')
        for label in ("cat", "dog"):
            dest = os.path.join(samples_dir, label)
            if os.path.exists(dest):
                raise VergeMLError("Directory {} already exists in samples dir: {}".format(label, dest))
        print("Downloading cats and dogs to {}.".format(samples_dir))
        src_dir = self.download_files([(_URL, "catsdogs.zip")], env)
        path = os.path.join(src_dir, "catsdogs.zip")

        print("Extracting data.")
        zipf = zipfile.ZipFile(path, 'r')
        zipf.extractall(src_dir)
        zipf.close()

        for file, dest in (("PetImages/Dog", "dog"), ("PetImages/Cat", "cat")):
            shutil.copytree(os.path.join(src_dir, file), os.path.join(samples_dir, dest))

        shutil.rmtree(src_dir)

        # WTF?
        os.unlink(os.path.join(samples_dir, "cat", "666.jpg"))
        os.unlink(os.path.join(samples_dir, "dog", "11702.jpg"))

        print("Finished downloading cats and dogs.") 

def download_figshare(file_name, file_ext, dir_path='./', change_name = None):
    prepare_data_dir(dir_path)
    url = 'https://ndownloader.figshare.com/files/' + file_name
    wget.download(url, out=dir_path)
    file_path = os.path.join(dir_path, file_name)

    if file_ext == '.zip':
        zip_ref = zipfile.ZipFile(file_path,'r')
        if change_name is not None:
            dir_path = os.path.join(dir_path, change_name)
        zip_ref.extractall(dir_path)
        zip_ref.close()
        os.remove(file_path)
    elif file_ext == '.tar.bz2':
        tar_ref = tarfile.open(file_path,'r:bz2')
        if change_name is not None:
            dir_path = os.path.join(dir_path, change_name)
        tar_ref.extractall(dir_path)
        tar_ref.close()
        os.remove(file_path)
    elif change_name is not None:
        os.rename(file_path, os.path.join(dir_path, change_name))

# Download QM9 dataset 

def zip_stream(src_dir, output_stream):
        """

        @param src_dir:
        @type src_dir: str
        @param output_stream:
        @type output_stream: zipfile.ZipFile
        @return:
        """
        root_path = os.path.dirname(src_dir)
        assert os.path.isdir(src_dir), "Invalid, not a directory: '{}'".format(src_dir)
        for root, directories, files in os.walk(src_dir):
            for file_name in files:
                file_path = os.path.join(root, file_name)
                relative_path = os.path.relpath(file_path, root_path)
                output_stream.write(file_path, arcname=relative_path) 

def pack(self) -> None:
        """
        Pack all files in zip
        """

        def rm_file(file: str):
            if os.path.exists(file) and os.path.isfile(file):
                os.remove(file)

        def rename_file(file: str):
            target = file + ".old"
            rm_file(target)
            if os.path.exists(file) and os.path.isfile(file):
                os.rename(file, target)

        self._check_files([self._weights_file, self._state_file])

        rename_file(self._checkpoint_file)
        with ZipFile(self._checkpoint_file, 'w') as zipfile:
            zipfile.write(self._weights_file, os.path.basename(self._weights_file))
            zipfile.write(self._state_file, os.path.basename(self._state_file))
            zipfile.write(self._trainer_file, os.path.basename(self._trainer_file))

        self.clear_files() 

def get_mnist(data_dir):
    if not os.path.isdir(data_dir):
        os.system("mkdir " + data_dir)
    os.chdir(data_dir)
    if (not os.path.exists('train-images-idx3-ubyte')) or \
       (not os.path.exists('train-labels-idx1-ubyte')) or \
       (not os.path.exists('t10k-images-idx3-ubyte')) or \
       (not os.path.exists('t10k-labels-idx1-ubyte')):
        import urllib, zipfile
        zippath = os.path.join(os.getcwd(), "mnist.zip")
        urllib.urlretrieve("http://data.mxnet.io/mxnet/data/mnist.zip", zippath)
        zf = zipfile.ZipFile(zippath, "r")
        zf.extractall()
        zf.close()
        os.remove(zippath)
    os.chdir("..") 

def _get_data(self):
        archive_file_name, archive_hash = self._archive_file
        data_file_name, data_hash = self._data_file[self._segment]
        path = os.path.join(self._root, data_file_name)
        if not os.path.exists(path) or not check_sha1(path, data_hash):
            namespace = 'gluon/dataset/'+self._namespace
            downloaded_file_path = download(_get_repo_file_url(namespace, archive_file_name),
                                            path=self._root,
                                            sha1_hash=archive_hash)

            with zipfile.ZipFile(downloaded_file_path, 'r') as zf:
                for member in zf.namelist():
                    filename = os.path.basename(member)
                    if filename:
                        dest = os.path.join(self._root, filename)
                        with zf.open(member) as source, \
                             open(dest, "wb") as target:
                            shutil.copyfileobj(source, target)

        data, label = self._read_batch(path)

        self._data = nd.array(data, dtype=data.dtype).reshape((-1, self._seq_len))
        self._label = nd.array(label, dtype=label.dtype).reshape((-1, self._seq_len)) 

def extract(self):
		if(hasattr(cherrypy.request, 'json')):
			if('dir' in cherrypy.request.json and cherrypy.request.json['dir']!='' and 'name' in cherrypy.request.json and cherrypy.request.json['name']!=''):
				dir = cherrypy.request.json['dir']
				name = cherrypy.request.json['name']
				
				fdir = path.join(self.datapath, dir)
				fp = path.join(fdir, name)
				if(path.exists(fp)):
					with zipfile.ZipFile(fp, "r") as z:
						z.extractall(fdir)
						return {'status': 'success', 'message': "File %s/%s extracted!"%(dir, name)}
				else:
					return {'status': 'error', 'message': "File doesn't exist!"}
			else:
				return {'status': 'error', 'message': "Invalid filename!"}
		else:
			return {'status': 'error', 'message': "No filename given!"} 

def execute(self, config, args):
        """
        Execution Hook

        When the plugin command is provided the plugin from the zip file specified in the plugin
        argument is installed in the Skelebot Plugins folder inside Skelebot Home
        """

        # Create the ~/.skelebot directory if not already present
        skelebotHome = os.path.expanduser(SKELEBOT_HOME)
        if (os.path.exists(skelebotHome) is False):
            os.makedirs(skelebotHome, exist_ok=True)

        # Create the ~/.skelebot/plugins directory if not already present
        pluginsHome = os.path.expanduser(PLUGINS_HOME)
        if (os.path.exists(pluginsHome) is False):
            os.makedirs(pluginsHome, exist_ok=True)

        # Unzip the plugin into the plugins folder
        zip_ref = zipfile.ZipFile(args.plugin, 'r')
        zip_ref.extractall(pluginsHome)
        zip_ref.close() 

def save(self, path=None):
        """Save model to a pickle located at `path`"""
        if path is None:
            path = os.path.join(logger.get_dir(), "model.pkl")

        with tempfile.TemporaryDirectory() as td:
            save_state(os.path.join(td, "model"))
            arc_name = os.path.join(td, "packed.zip")
            with zipfile.ZipFile(arc_name, 'w') as zipf:
                for root, dirs, files in os.walk(td):
                    for fname in files:
                        file_path = os.path.join(root, fname)
                        if file_path != arc_name:
                            zipf.write(file_path, os.path.relpath(file_path, td))
            with open(arc_name, "rb") as f:
                model_data = f.read()
        with open(path, "wb") as f:
            cloudpickle.dump((model_data, self._act_params), f) 

def install_hanlp_data(the_jar_version=None):
    if not the_jar_version:
        the_jar_version = HANLP_JAR_VERSION if HANLP_JAR_VERSION else hanlp_latest_version()[0]
    for jar_version, jar_url, data_version, data_url in hanlp_releases():
        if jar_version == the_jar_version:
            if data_version == hanlp_installed_data_version():
                return False
            data_zip = 'data-for-{}.zip'.format(data_version)
            data_zip = os.path.join(STATIC_ROOT, data_zip)
            download(data_url, os.path.join(STATIC_ROOT, data_zip))
            print('解压 data.zip...')
            with zipfile.ZipFile(data_zip, "r") as zip_ref:
                zip_ref.extractall(STATIC_ROOT)
            os.remove(data_zip)
            write_config(root=STATIC_ROOT)
            with open_(PATH_DATA_VERSION, 'w', encoding='utf-8') as f:
                f.write(data_version)
            global HANLP_DATA_VERSION
            HANLP_DATA_VERSION = data_version
            return True 

def save_act(self, path=None):
        """Save model to a pickle located at `path`"""
        if path is None:
            path = os.path.join(logger.get_dir(), "model.pkl")

        with tempfile.TemporaryDirectory() as td:
            save_state(os.path.join(td, "model"))
            arc_name = os.path.join(td, "packed.zip")
            with zipfile.ZipFile(arc_name, 'w') as zipf:
                for root, dirs, files in os.walk(td):
                    for fname in files:
                        file_path = os.path.join(root, fname)
                        if file_path != arc_name:
                            zipf.write(file_path, os.path.relpath(file_path, td))
            with open(arc_name, "rb") as f:
                model_data = f.read()
        with open(path, "wb") as f:
            cloudpickle.dump((model_data, self._act_params), f) 

def make_zipfile(src_dir, save_path, enclosing_dir="", exclude_paths=None, exclude_extensions=None):
    """make a zip file of root_dir, save it to save_path.
    exclude_paths will be excluded if it is a subdir of root_dir.
    An enclosing_dir is added is specified.
    """
    abs_src = os.path.abspath(src_dir)
    with zipfile.ZipFile(save_path, "w") as zf:
        for dirname, subdirs, files in os.walk(src_dir):
            # print("dirname", dirname)
            # print("subdirs", subdirs)
            # print("files", files)
            if exclude_paths is not None:
                for e_p in exclude_paths:
                    if e_p in subdirs:
                        subdirs.remove(e_p)
            arcname = os.path.join(enclosing_dir, dirname[len(abs_src) + 1:])
            zf.write(dirname, arcname)
            for filename in files:
                if exclude_extensions is not None:
                    if os.path.splitext(filename)[1] in exclude_extensions:
                        continue  # do not zip it
                absname = os.path.join(dirname, filename)
                arcname = os.path.join(enclosing_dir, absname[len(abs_src) + 1:])
                zf.write(absname, arcname) 

def Run(self):
    try:
      zip_file = self._args[0]
      out_path = self._args[1]
    except IndexError:
      raise ActionError('Unable to determine desired paths from %s.' %
                        str(self._args))

    try:
      file_util.CreateDirectories(out_path)
    except file_util.Error:
      raise ActionError('Unable to create output path %s.' % out_path)

    try:
      zf = zipfile.ZipFile(zip_file)
      zf.extractall(out_path)
    except (IOError, zipfile.BadZipfile) as e:
      raise ActionError('Bad zip file given as input.  %s' % e) 

def unzip(source, destination, file_to_unzip=None, result=[]):  # pylint: disable=dangerous-default-value
    """Unzip files to specified path"""

    if not exists(destination):
        mkdirs(destination)

    from zipfile import ZipFile
    zip_obj = ZipFile(compat_path(source))
    for filename in zip_obj.namelist():
        if file_to_unzip and filename != file_to_unzip:
            continue

        # Detect and remove (dangling) symlinks before extraction
        fullname = os.path.join(destination, filename)
        if os.path.islink(compat_path(fullname)):
            log(3, 'Remove (dangling) symlink at {symlink}', symlink=fullname)
            delete(fullname)

        zip_obj.extract(filename, compat_path(destination))
        result.append(True)  # Pass by reference for Thread

    return bool(result) 

def widevine_eula():
    """Displays the Widevine EULA and prompts user to accept it."""

    cdm_version = latest_widevine_version(eula=True)
    if 'x86' in arch():
        cdm_os = config.WIDEVINE_OS_MAP[system_os()]
        cdm_arch = config.WIDEVINE_ARCH_MAP_X86[arch()]
    else:  # grab the license from the x86 files
        log(0, 'Acquiring Widevine EULA from x86 files.')
        cdm_os = 'mac'
        cdm_arch = 'x64'

    url = config.WIDEVINE_DOWNLOAD_URL.format(version=cdm_version, os=cdm_os, arch=cdm_arch)
    downloaded = http_download(url, message=localize(30025), background=True)  # Acquiring EULA
    if not downloaded:
        return False

    from zipfile import ZipFile
    with ZipFile(compat_path(store('download_path'))) as archive:
        with archive.open(config.WIDEVINE_LICENSE_FILE) as file_obj:
            eula = file_obj.read().decode().strip().replace('\n', ' ')

    return yesno_dialog(localize(30026), eula, nolabel=localize(30028), yeslabel=localize(30027))  # Widevine CDM EULA 

def download_m2nist_if_not_exist():
    data_rootdir = os.path.expanduser(os.path.join('~', '.m2nist'))
    m2nist_zip_path = os.path.join(data_rootdir, 'm2nist.zip')
    if os.path.exists(m2nist_zip_path):
        return
    os.makedirs(data_rootdir, exist_ok=True)
    m2nist_zip_url = 'https://raw.githubusercontent.com/akkaze/datasets/master/m2nist.zip'
    fail_counter = 0
    while True:
        try:
            print('Trying to download m2nist...')
            download_from_url(m2nist_zip_url, m2nist_zip_path)
            break
        except Exception as exc:
            fail_counter += 1
            print('Errors occured : {0}'.format(exc))
            if fail_counter >= 6:
                print(
                    'Please try to download dataset from {0} by yourself and put it under the directory {1}'.format(
                        m2nist_zip_path), data_rootdir)
            time.sleep(5)
            continue
    zipf = zipfile.ZipFile(m2nist_zip_path)
    zipf.extractall(data_rootdir)
    zipf.close() 

def create_function_handler_zip(zip_location, main_exec_file, backend_location):

    logger.debug("Creating function handler zip in {}".format(zip_location))

    def add_folder_to_zip(zip_file, full_dir_path, sub_dir=''):
        for file in os.listdir(full_dir_path):
            full_path = os.path.join(full_dir_path, file)
            if os.path.isfile(full_path):
                zip_file.write(full_path, os.path.join('pywren_ibm_cloud', sub_dir, file))
            elif os.path.isdir(full_path) and '__pycache__' not in full_path:
                add_folder_to_zip(zip_file, full_path, os.path.join(sub_dir, file))

    try:
        with zipfile.ZipFile(zip_location, 'w', zipfile.ZIP_DEFLATED) as pywren_zip:
            current_location = os.path.dirname(os.path.abspath(backend_location))
            module_location = os.path.dirname(os.path.abspath(pywren_ibm_cloud.__file__))
            main_file = os.path.join(current_location, 'entry_point.py')
            pywren_zip.write(main_file, main_exec_file)
            add_folder_to_zip(pywren_zip, module_location)

    except Exception:
        raise Exception('Unable to create the {} package: {}'.format(zip_location)) 

def download_dataset(dataset, files, data_dir):
    """ Downloads dataset if files are not present. """

    if not np.all([os.path.isfile(data_dir + f) for f in files]):
        url = "http://files.grouplens.org/datasets/movielens/" + dataset.replace('_', '-') + '.zip'
        request = urlopen(url)

        print('Downloading %s dataset' % dataset)

        if dataset in ['ml_100k', 'ml_1m']:
            target_dir = 'raw_data/' + dataset.replace('_', '-')
        elif dataset == 'ml_10m':
            target_dir = 'raw_data/' + 'ml-10M100K'
        else:
            raise ValueError('Invalid dataset option %s' % dataset)

        with ZipFile(BytesIO(request.read())) as zip_ref:
            zip_ref.extractall('raw_data/')

        os.rename(target_dir, data_dir)
        #shutil.rmtree(target_dir) 

def download_and_extract(task, data_dir):
    print("Downloading and extracting %s..." % task)
    data_file = "%s.zip" % task
    urllib.request.urlretrieve(TASK2PATH[task], data_file)
    with zipfile.ZipFile(data_file) as zip_ref:
        zip_ref.extractall(data_dir)
    os.remove(data_file)
    print("\tCompleted!") 

def download_session_manager_plugin_macos(target_path):
    sm_archive = io.BytesIO()
    clients.s3.download_fileobj(sm_plugin_bucket, "plugin/latest/mac/sessionmanager-bundle.zip", sm_archive)
    with zipfile.ZipFile(sm_archive) as zf, open(target_path, "wb") as fh:
        fh.write(zf.read("sessionmanager-bundle/bin/session-manager-plugin")) 

def _read_image_list(self, skip_image_ids=None):
    """Reads list of dataset images from the datastore."""
    if skip_image_ids is None:
      skip_image_ids = []
    images = self._storage_client.list_blobs(
        prefix=os.path.join('dataset', self._dataset_name) + '/')
    zip_files = [i for i in images if i.endswith('.zip')]
    if len(zip_files) == 1:
      # we have a zip archive with images
      zip_name = zip_files[0]
      logging.info('Reading list of images from zip file %s', zip_name)
      blob = self._storage_client.get_blob(zip_name)
      buf = BytesIO()
      logging.info('Downloading zip')
      blob.download_to_file(buf)
      buf.seek(0)
      logging.info('Reading content of the zip')
      with zipfile.ZipFile(buf) as f:
        images = [os.path.join(zip_name, os.path.basename(n))
                  for n in f.namelist() if n.endswith('.png')]
      buf.close()
      logging.info('Found %d images', len(images))
    else:
      # we have just a directory with images, filter non-PNG files
      logging.info('Reading list of images from png files in storage')
      images = [i for i in images if i.endswith('.png')]
      logging.info('Found %d images', len(images))
    # filter images which should be skipped
    images = [i for i in images
              if os.path.basename(i)[:-4] not in skip_image_ids]
    # assign IDs to images
    images = [(DATASET_IMAGE_ID_PATTERN.format(idx), i)
              for idx, i in enumerate(sorted(images))]
    return images 

def dynamic_download_and_Synthesizing(illust_id, title=None, prefix=None):
    tag = 'Dynamic_Download_And_Synthesizing'
    d_json_data = 'https://www.pixiv.net/ajax/illust/' + str(illust_id) + '/ugoira_meta'
    d_json_decoded = json.loads(get_text_from_url(d_json_data))['body']
    src_zip_url = d_json_decoded['originalSrc']
    src_mime_type = d_json_decoded['mime_type']
    src_img_delay = int(d_json_decoded['frames'][0]['delay']) / 1000
    src_saved_path = save_path + 'TEMP' + global_symbol + str(illust_id) + global_symbol + \
                     src_zip_url.split('/')[-1]
    src_saved_dir = save_path + 'TEMP' + global_symbol + str(illust_id) + global_symbol
    src_final_dir = save_path + 'Dynamic' + global_symbol
    download_thread(src_zip_url, save_path, None, 'TEMP' + global_symbol + str(illust_id))
    while not os.path.exists(src_saved_path + '.done'):
        time.sleep(1)
        print_with_tag(tag, 'Waiting for complete...')
    print_with_tag(tag, ['Zip target downloaded:', src_saved_path])
    with zipfile.ZipFile(src_saved_path, 'r') as zip_file:
        zip_file.extractall(path=src_saved_dir)
    # get each frame
    sort_by_num = []
    frames = []
    for root, dirs, files in os.walk(src_saved_dir):
        for file in files:
            if file.endswith('jpg') or file.endswith('png'):
                sort_by_num.append(src_saved_dir + global_symbol + file)
    sort_by_num.sort()
    print_with_tag(tag, 'Reading each frame..')
    for each_frame in sort_by_num:
        frames.append(imageio.imread(each_frame))
    gif_save_dir = save_path + str(prefix) + global_symbol + year_month + str(
        day) + global_symbol + 'D-' + str(illust_id) + global_symbol
    gif_name_format = re.sub('[\/:*?"<>|]', '_', str(title)) + '-' + str(illust_id) + '.gif'
    if not os.path.exists(gif_save_dir):
        os.makedirs(gif_save_dir)
    print_with_tag(tag, 'Synthesizing dynamic images..')
    try:
        imageio.mimsave(gif_save_dir + gif_name_format, frames, duration=src_img_delay)
    except Exception as e:
        print_with_tag(tag, [gif_save_dir + gif_name_format])
        print_with_tag(tag, e)
        exit() 

def download_file(url, file_ext, dir_path='./'):
    file_name = wget.download(url, out=dir_path)
    file_path = os.path.join(dir_path, file_name)
    if file_ext == '.zip':
        zip_ref = zipfile.ZipFile(file_path,'r')
        zip_ref.extractall(dir_path)
        zip_ref.close()
        os.remove(file_path)

# Download data from figshare 

def inflate_data_sources(input):
    import zipfile
    import tempfile
    import shutil
    import os
    dirpath = tempfile.mkdtemp()
    # make sure the directory is empty
    shutil.rmtree(dirpath)
    os.makedirs(dirpath)
    # load and extract zip file
    zf = zipfile.ZipFile(input)
    zf.extractall(dirpath)
    extracted_folders = os.listdir(dirpath)
    return {k.split(".")[0]: os.path.join(dirpath, k) for k in extracted_folders} 

def load_data_jay_lyrics():
    """加载周杰伦歌词数据集"""
    with zipfile.ZipFile('./data/JayChou/jaychou_lyrics.txt.zip') as zin:
        with zin.open('jaychou_lyrics.txt') as f:
            corpus_chars = f.read().decode('utf-8')
    corpus_chars = corpus_chars.replace('\n', ' ').replace('\r', ' ')
    corpus_chars = corpus_chars[0:20000]
    idx_to_char = list(set(corpus_chars))
    char_to_idx = dict([(char, i) for i, char in enumerate(idx_to_char)])
    vocab_size = len(char_to_idx)
    corpus_indices = [char_to_idx[char] for char in corpus_chars]
    return corpus_indices, char_to_idx, idx_to_char, vocab_size 

def read_data(file_path):
    """ Read data into a list of tokens
    There should be 17,005,207 tokens
    """
    with zipfile.ZipFile(file_path) as f:
        words = tf.compat.as_str(f.read(f.namelist()[0])).split()
    return words