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 _apply_layer_operation(example_dict, operation_dict):
    """Applies layer operation to radar data.

    :param example_dict: See doc for `reduce_examples_3d_to_2d`.
    :param operation_dict: See doc for `_check_layer_operation`.
    :return: new_radar_matrix: E-by-M-by-N numpy array resulting from layer
        operation.
    """

    _check_layer_operation(example_dict=example_dict,
                           operation_dict=operation_dict)

    height_diffs_metres = (
        example_dict[RADAR_HEIGHTS_KEY] - operation_dict[MIN_HEIGHT_KEY]
    ).astype(float)
    height_diffs_metres[height_diffs_metres > 0] = -numpy.inf
    min_height_index = numpy.argmax(height_diffs_metres)

    height_diffs_metres = (
        operation_dict[MAX_HEIGHT_KEY] - example_dict[RADAR_HEIGHTS_KEY]
    ).astype(float)
    height_diffs_metres[height_diffs_metres > 0] = -numpy.inf
    max_height_index = numpy.argmax(height_diffs_metres)

    operation_dict[MIN_HEIGHT_KEY] = example_dict[
        RADAR_HEIGHTS_KEY][min_height_index]
    operation_dict[MAX_HEIGHT_KEY] = example_dict[
        RADAR_HEIGHTS_KEY][max_height_index]

    operation_name = operation_dict[OPERATION_NAME_KEY]
    operation_function = OPERATION_NAME_TO_FUNCTION_DICT[operation_name]

    if REFL_IMAGE_MATRIX_KEY in example_dict:
        orig_matrix = example_dict[REFL_IMAGE_MATRIX_KEY][
            ..., min_height_index:(max_height_index + 1), 0]
    else:
        field_index = example_dict[RADAR_FIELDS_KEY].index(
            operation_dict[RADAR_FIELD_KEY])

        orig_matrix = example_dict[RADAR_IMAGE_MATRIX_KEY][
            ..., min_height_index:(max_height_index + 1), field_index]

    return operation_function(orig_matrix, axis=-1), operation_dict