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 __init__(self,
               local_init_op=None,
               ready_op=None,
               ready_for_local_init_op=None,
               graph=None,
               recovery_wait_secs=30,
               local_init_run_options=None,
               local_init_feed_dict=None):
    """Creates a SessionManager.

    The `local_init_op` is an `Operation` that is run always after a new session
    was created. If `None`, this step is skipped.

    The `ready_op` is an `Operation` used to check if the model is ready.  The
    model is considered ready if that operation returns an empty 1D string
    tensor. If the operation returns a non empty 1D string tensor, the elements
    are concatenated and used to indicate to the user why the model is not
    ready.

    The `ready_for_local_init_op` is an `Operation` used to check if the model
    is ready to run local_init_op.  The model is considered ready if that
    operation returns an empty 1D string tensor. If the operation returns a non
    empty 1D string tensor, the elements are concatenated and used to indicate
    to the user why the model is not ready.

    If `ready_op` is `None`, the model is not checked for readiness.

    `recovery_wait_secs` is the number of seconds between checks that
    the model is ready.  It is used by processes to wait for a model to
    be initialized or restored.  Defaults to 30 seconds.

    Args:
      local_init_op: An `Operation` run immediately after session creation.
         Usually used to initialize tables and local variables.
      ready_op: An `Operation` to check if the model is initialized.
      ready_for_local_init_op: An `Operation` to check if the model is ready
         to run local_init_op.
      graph: The `Graph` that the model will use.
      recovery_wait_secs: Seconds between checks for the model to be ready.
      local_init_run_options: RunOptions to be passed to session.run when
        executing the local_init_op.
      local_init_feed_dict: Optional session feed dictionary to use when running
        the local_init_op.

    Raises:
      ValueError: If ready_for_local_init_op is not None but local_init_op is
        None
    """
    # Sets default values of arguments.
    if graph is None:
      graph = ops.get_default_graph()
    self._local_init_op = local_init_op
    self._ready_op = ready_op
    self._ready_for_local_init_op = ready_for_local_init_op
    self._graph = graph
    self._recovery_wait_secs = recovery_wait_secs
    self._target = None
    self._local_init_run_options = local_init_run_options
    self._local_init_feed_dict = local_init_feed_dict
    if ready_for_local_init_op is not None and local_init_op is None:
      raise ValueError("If you pass a ready_for_local_init_op "
                       "you must also pass a local_init_op "
                       ", ready_for_local_init_op [%s]" %
                       ready_for_local_init_op)