How to use the flattentool.input.ListAsDict function in flattentool

## Array
            list_index = -1
            if isint(next_path_item):
                if current_type and current_type != "array":
                    raise ValueError(
                        "There is an array at '{}' when the schema says there should be a '{}'".format(
                            path_till_now, current_type
                        )
                    )
                list_index = int(next_path_item)
                current_type = "array"

            if current_type == "array":
                list_as_dict = current_path.get(path_item)
                if list_as_dict is None:
                    list_as_dict = ListAsDict()
                    current_path[path_item] = list_as_dict
                elif type(list_as_dict) is not ListAsDict:
                    warn(
                        "Column {} has been ignored, because it treats {} as an array, but another column does not.".format(
                            path, path_till_now
                        ),
                        DataErrorWarning,
                    )
                    break
                new_path = list_as_dict.get(list_index)
                if new_path is None:
                    new_path = OrderedDict()
                    list_as_dict[list_index] = new_path
                current_path = new_path
                if not xml or num < len(path_list) - 2:
                    # In xml "arrays" can have text values, if they're the final element

def list_as_dicts_to_temporary_dicts(unflattened, id_name, xml):
    for key, value in list(unflattened.items()):
        if isinstance(value, Cell):
            continue
        if hasattr(value, "items"):
            if not value:
                unflattened.pop(key)
            list_as_dicts_to_temporary_dicts(value, id_name, xml)
        if isinstance(value, ListAsDict):
            temporarydict = TemporaryDict(id_name, xml=xml)
            for index in sorted(value.keys()):
                temporarydict.append(value[index])
            unflattened[key] = temporarydict
    return unflattened