discussion_edges = get_graphql_question_discussion_edges(settings=settings)

    while discussion_edges:
        for discussion_edge in discussion_edges:
            discussion_nodes.append(discussion_edge.node)
        last_edge = discussion_edges[-1]
        discussion_edges = get_graphql_question_discussion_edges(
            settings=settings, after=last_edge.cursor
        )
    return discussion_nodes

        last_edge = discussion_edges[-1]
        discussion_edges = get_graphql_translation_discussion_comments_edges(
            settings=settings,
            discussion_number=discussion_number,
            after=last_edge.cursor,
        )
    return comment_nodes


def create_comment(*, settings: Settings, discussion_id: str, body: str):
    data = get_graphql_response(

setattr(_current_module, "losses", _losses)
setattr(_current_module, "metrics", _metrics)
setattr(_current_module, "optimizers", _optimizers)
setattr(_current_module, "initializers", _initializers)


# Do an eager load for Keras' code so that any function/method that needs to
# happen at load time will trigger, eg registration of optimizers in the
# SavedModel registry.
# See b/196254385 for more details.
try: