Function _astuple_inner

Lib/dataclasses.py:1592–1625

(obj, tuple_factory)

def _astuple_inner(obj, tuple_factory):
    if type(obj) in _ATOMIC_TYPES:
        return obj
    elif _is_dataclass_instance(obj):
        return tuple_factory([
            _astuple_inner(getattr(obj, f.name), tuple_factory)
            for f in fields(obj)
        ])
    elif isinstance(obj, tuple) and hasattr(obj, '_fields'):
        # obj is a namedtuple.  Recurse into it, but the returned
        # object is another namedtuple of the same type.  This is
        # similar to how other list- or tuple-derived classes are
        # treated (see below), but we just need to create them
        # differently because a namedtuple's __init__ needs to be
        # called differently (see bpo-34363).
        return type(obj)(*[_astuple_inner(v, tuple_factory) for v in obj])
    elif isinstance(obj, (list, tuple)):
        # Assume we can create an object of this type by passing in a
        # generator (which is not true for namedtuples, handled
        # above).
        return type(obj)(_astuple_inner(v, tuple_factory) for v in obj)
    elif isinstance(obj, dict):
        obj_type = type(obj)
        if hasattr(obj_type, 'default_factory'):
            # obj is a defaultdict, which has a different constructor from
            # dict as it requires the default_factory as its first arg.
            result = obj_type(getattr(obj, 'default_factory'))
            for k, v in obj.items():
                result[_astuple_inner(k, tuple_factory)] = _astuple_inner(v, tuple_factory)
            return result
        return obj_type((_astuple_inner(k, tuple_factory), _astuple_inner(v, tuple_factory))
                          for k, v in obj.items())
    else:
        return copy.deepcopy(obj)


def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True,