def get_bower_package(self, url, dest=None, version=None,
                          process_deps=True):
        dest = dest or Path(".") / "assets"
        parsed_url = urlparse(url)
        if parsed_url.scheme == "git" or parsed_url.path.endswith(".git"):
            if parsed_url.netloc == "github.com":
                user, repo = parsed_url.path[1:-4].split("/")
                response = get(github_api_uri +
                               "/repos/{}/{}/tags".format(user, repo))
                tags = response.json()
                target = None
                if not len(tags):
                    click.secho("fatal: no tags exist for {}/{}".format(
                        user, repo), fg="red")
                    raise InvalidPackageError
                if version is None:
                    target = tags[0]
                else:
                    for tag in tags:
                        if semver.match(tag["name"],
                                        Bower.clean_semver(version)):
                            target = tag
                            break
                if not target:
                    click.secho(
                        "fatal: failed to find matching tag for "
                        "{user}/{repo} {version}".format(user, repo, version),
                        fg="red")
                    raise VersionNotFoundError
                click.secho("installing {}/{}#{}".format(
                    user, repo, tags[0]["name"]), fg="green")
                return self.get_bower_package(
                    url=target["zipball_url"],
                    dest=dest,
                    version=version)
            raise NotImplementedError
            click.echo("git clone {url}".format(url=url))
            cmd = envoy.run('git clone {url} "{dest}"'.format(
                url=url, dest=dest))
        elif parsed_url.scheme in ("http", "https"):
            zip_dest = download_file(url, dest=self.temp_dir,
                                     label="{dest_basename}",
                                     expected_extension="zip")
            with zipfile.ZipFile(zip_dest, "r") as pkg:
                return self.extract_bower_zipfile(pkg, dest,
                                                  expected_version=version)
                # pkg.extractall(str(dest))
        else:
            click.secho("protocol currently unsupported :(")
            sys.exit(1)
def _check_target_vars(target_names):
    """Error-checks list of target variables.

    Target variables must all have the same mean lead time (average of min and
    max lead times) and event type (tornado or wind).

    :param target_names: 1-D list with names of target variables.  Each must be
        accepted by `target_val_utils.target_name_to_params`.
    :return: mean_lead_time_seconds: Mean lead time (shared by all target
        variables).
    :return: event_type_string: Event type.
    :raises: ValueError: if target variables do not all have the same mean lead
        time or event type.
    """

    error_checking.assert_is_string_list(target_names)
    error_checking.assert_is_numpy_array(
        numpy.array(target_names), num_dimensions=1
    )

    num_target_vars = len(target_names)
    mean_lead_times = numpy.full(num_target_vars, -1, dtype=int)
    event_type_strings = numpy.full(num_target_vars, '', dtype=object)

    for k in range(num_target_vars):
        this_param_dict = target_val_utils.target_name_to_params(
            target_names[k]
        )

        event_type_strings[k] = this_param_dict[target_val_utils.EVENT_TYPE_KEY]

        mean_lead_times[k] = int(numpy.round(
            (this_param_dict[target_val_utils.MAX_LEAD_TIME_KEY] +
             this_param_dict[target_val_utils.MIN_LEAD_TIME_KEY])
            / 2
        ))

    if len(numpy.unique(mean_lead_times)) != 1:
        error_string = (
            'Target variables (listed below) have different mean lead times.'
            '\n{0:s}'
        ).format(str(target_names))

        raise ValueError(error_string)

    if len(numpy.unique(event_type_strings)) != 1:
        error_string = (
            'Target variables (listed below) have different event types.\n{0:s}'
        ).format(str(target_names))

        raise ValueError(error_string)

    return mean_lead_times[0], event_type_strings[0]