diff options
Diffstat (limited to 'Lib/dataclasses.py')
-rw-r--r-- | Lib/dataclasses.py | 53 |
1 files changed, 47 insertions, 6 deletions
diff --git a/Lib/dataclasses.py b/Lib/dataclasses.py index 0f7dc9ae6b8..86d29df0639 100644 --- a/Lib/dataclasses.py +++ b/Lib/dataclasses.py @@ -244,6 +244,10 @@ _ATOMIC_TYPES = frozenset({ property, }) +# Any marker is used in `make_dataclass` to mark unannotated fields as `Any` +# without importing `typing` module. +_ANY_MARKER = object() + class InitVar: __slots__ = ('type', ) @@ -1591,7 +1595,7 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, for item in fields: if isinstance(item, str): name = item - tp = 'typing.Any' + tp = _ANY_MARKER elif len(item) == 2: name, tp, = item elif len(item) == 3: @@ -1610,15 +1614,49 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, seen.add(name) annotations[name] = tp + # We initially block the VALUE format, because inside dataclass() we'll + # call get_annotations(), which will try the VALUE format first. If we don't + # block, that means we'd always end up eagerly importing typing here, which + # is what we're trying to avoid. + value_blocked = True + + def annotate_method(format): + def get_any(): + match format: + case annotationlib.Format.STRING: + return 'typing.Any' + case annotationlib.Format.FORWARDREF: + typing = sys.modules.get("typing") + if typing is None: + return annotationlib.ForwardRef("Any", module="typing") + else: + return typing.Any + case annotationlib.Format.VALUE: + if value_blocked: + raise NotImplementedError + from typing import Any + return Any + case _: + raise NotImplementedError + annos = { + ann: get_any() if t is _ANY_MARKER else t + for ann, t in annotations.items() + } + if format == annotationlib.Format.STRING: + return annotationlib.annotations_to_string(annos) + else: + return annos + # Update 'ns' with the user-supplied namespace plus our calculated values. def exec_body_callback(ns): ns.update(namespace) ns.update(defaults) - ns['__annotations__'] = annotations # We use `types.new_class()` instead of simply `type()` to allow dynamic creation # of generic dataclasses. cls = types.new_class(cls_name, bases, {}, exec_body_callback) + # For now, set annotations including the _ANY_MARKER. + cls.__annotate__ = annotate_method # For pickling to work, the __module__ variable needs to be set to the frame # where the dataclass is created. @@ -1634,10 +1672,13 @@ def make_dataclass(cls_name, fields, *, bases=(), namespace=None, init=True, cls.__module__ = module # Apply the normal provided decorator. - return decorator(cls, init=init, repr=repr, eq=eq, order=order, - unsafe_hash=unsafe_hash, frozen=frozen, - match_args=match_args, kw_only=kw_only, slots=slots, - weakref_slot=weakref_slot) + cls = decorator(cls, init=init, repr=repr, eq=eq, order=order, + unsafe_hash=unsafe_hash, frozen=frozen, + match_args=match_args, kw_only=kw_only, slots=slots, + weakref_slot=weakref_slot) + # Now that the class is ready, allow the VALUE format. + value_blocked = False + return cls def replace(obj, /, **changes): |