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 _compare_metadata(netcdf_dataset, example_dict):
    """Compares metadata between existing NetCDF file and new batch of examples.

    This method contains a large number of `assert` statements.  If any of the
    `assert` statements fails, this method will error out.

    :param netcdf_dataset: Instance of `netCDF4.Dataset`.
    :param example_dict: See doc for `write_examples_with_3d_radar`.
    :raises: ValueError: if the two sets have different metadata.
    """

    include_soundings = SOUNDING_MATRIX_KEY in example_dict

    orig_example_dict = {
        TARGET_NAMES_KEY: [
            str(s) for s in
            netCDF4.chartostring(netcdf_dataset.variables[TARGET_NAMES_KEY][:])
        ],
        ROTATED_GRIDS_KEY: bool(getattr(netcdf_dataset, ROTATED_GRIDS_KEY)),
        RADAR_FIELDS_KEY: [
            str(s) for s in netCDF4.chartostring(
                netcdf_dataset.variables[RADAR_FIELDS_KEY][:])
        ],
        RADAR_HEIGHTS_KEY: numpy.array(
            netcdf_dataset.variables[RADAR_HEIGHTS_KEY][:], dtype=int
        )
    }

    if example_dict[ROTATED_GRIDS_KEY]:
        orig_example_dict[ROTATED_GRID_SPACING_KEY] = int(
            getattr(netcdf_dataset, ROTATED_GRID_SPACING_KEY)
        )

    if include_soundings:
        orig_example_dict[SOUNDING_FIELDS_KEY] = [
            str(s) for s in netCDF4.chartostring(
                netcdf_dataset.variables[SOUNDING_FIELDS_KEY][:])
        ]
        orig_example_dict[SOUNDING_HEIGHTS_KEY] = numpy.array(
            netcdf_dataset.variables[SOUNDING_HEIGHTS_KEY][:], dtype=int
        )

    for this_key in orig_example_dict:
        if isinstance(example_dict[this_key], numpy.ndarray):
            if numpy.array_equal(example_dict[this_key],
                                 orig_example_dict[this_key]):
                continue
        else:
            if example_dict[this_key] == orig_example_dict[this_key]:
                continue

        error_string = (
            '\n"{0:s}" in existing NetCDF file:\n{1:s}\n\n"{0:s}" in new batch '
            'of examples:\n{2:s}\n\n'
        ).format(
            this_key, str(orig_example_dict[this_key]),
            str(example_dict[this_key])
        )

        raise ValueError(error_string)