def extract_bower_zipfile(self, zip_file, dest, expected_version=None):
        bower_json = None
        root = None
        deps_installed = []
        for info in zip_file.infolist():
            if PurePath(info.filename).name == "bower.json":
                with zip_file.open(info) as f:
                    bower_json = json.load(f)
                    root = str(PurePath(info.filename).parent)
                break
        version = bower_json["version"]
        if expected_version is not None:
            expected_version = Bower.clean_semver(expected_version)
            if not semver.match(version, expected_version):
                click.secho("error: versions do not match ({} =/= {})".format(
                    version, expected_version))
                raise InvalidPackageError
        if "dependencies" in bower_json:
            for package, version in bower_json["dependencies"].items():
                url = Bower.get_package_url(package)
                deps_installed.extend(self.get_bower_package(
                    url, dest=dest, version=version))
        ignore_patterns = [GitIgnorePattern(ig) for ig in bower_json["ignore"]]
        path_spec = PathSpec(ignore_patterns)
        namelist = [path for path in zip_file.namelist()
                    if PurePath(path).parts[0] == root]
        ignored = list(path_spec.match_files(namelist))
        for path in namelist:
            dest_path = PurePath(
                bower_json["name"],
                *PurePath(path).parts[1:])

            if path in ignored:
                continue

            for path in ignored:
                for parent in PurePath(path):
                    if parent in ignored:
                        continue

            if path.endswith("/"):
                if list(path_spec.match_files([str(dest_path)])):
                    ignored.append(PurePath(path))
                elif not (dest / dest_path).is_dir():
                    (dest / dest_path).mkdir(parents=True)
            else:
                target_path = dest / dest_path.parent / dest_path.name
                source = zip_file.open(path)
                target = target_path.open("wb")
                with source, target:
                    shutil.copyfileobj(source, target)
        deps_installed.append((bower_json["name"], bower_json["version"]))
        return deps_installed
def verify(opt):
    if opt['datatype'] == 'train':
        logging.warning("changing datatype from train to train:ordered")
        opt['datatype'] = 'train:ordered'
    opt.log()
    # create repeat label agent and assign it to the specified task
    agent = RepeatLabelAgent(opt)
    world = create_task(opt, agent)

    log_every_n_secs = opt.get('log_every_n_secs', -1)
    if log_every_n_secs <= 0:
        log_every_n_secs = float('inf')
    log_time = TimeLogger()

    counts = {}
    counts['missing_text'] = 0
    counts['missing_labels'] = 0
    counts['missing_label_candidates'] = 0
    counts['empty_string_label_candidates'] = 0
    counts['label_candidates_with_missing_label'] = 0
    counts['did_not_return_message'] = 0

    # Show some example dialogs.
    while not world.epoch_done():
        world.parley()

        act = world.acts[0]

        if not isinstance(act, Message):
            counts['did_not_return_message'] += 1

        if 'text' not in act and 'image' not in act:
            warn("warning: missing text field:\n", act, opt)
            counts['missing_text'] += 1

        if 'labels' not in act and 'eval_labels' not in act:
            warn("warning: missing labels/eval_labels field:\n", act, opt)
            counts['missing_labels'] += 1
        else:
            if 'label_candidates' not in act:
                counts['missing_label_candidates'] += 1
            else:
                labels = act.get('labels', act.get('eval_labels'))
                is_label_cand = {}
                for l in labels:
                    is_label_cand[l] = False
                for c in act['label_candidates']:
                    if c == '':
                        warn("warning: empty string label_candidate:\n", act, opt)
                        counts['empty_string_label_candidates'] += 1
                    if c in is_label_cand:
                        if is_label_cand[c] is True:
                            warn(
                                "warning: label mentioned twice in candidate_labels:\n",
                                act,
                                opt,
                            )
                        is_label_cand[c] = True
                for _, has in is_label_cand.items():
                    if has is False:
                        warn("warning: label missing in candidate_labels:\n", act, opt)
                        counts['label_candidates_with_missing_label'] += 1

        if log_time.time() > log_every_n_secs:
            text, log = report(world, counts, log_time)
            print(text)

    try:
        # print dataset size if available
        logging.info(
            f'Loaded {world.num_episodes()} episodes with a '
            f'total of {world.num_examples()} examples'
        )
    except AttributeError:
        pass

    counts['exs'] = int(world.report()['exs'])
    return counts