def _add_replace_method(self, node, cls):
typevar = abstract.TypeParameter(
abstract_utils.T + cls.name, self.vm, bound=cls)
cls.members["replace"] = overlay_utils.make_method(
vm=self.vm,
node=node,
name="replace",
return_type=typevar,
self_param=overlay_utils.Param("self", typevar),
kwargs=overlay_utils.Param("changes"),
)
def _make_new(self, node, member_type, cls):
return overlay_utils.make_method(
vm=self.vm,
node=node,
name="__new__",
params=[overlay_utils.Param("value", member_type)],
return_type=cls)
def make_replace_method(ctx, node, cls, *, kwargs_name="kwargs"):
"""Create a replace() method for a dataclass."""
# This is used by several packages that extend dataclass.
# The signature is
# def replace(self: T, **kwargs) -> T
typevar = abstract.TypeParameter(abstract_utils.T + cls.name,
ctx,
bound=cls)
return overlay_utils.make_method(
ctx=ctx,
node=node,
name="replace",
return_type=typevar,
self_param=overlay_utils.Param("self", typevar),
kwargs=overlay_utils.Param(kwargs_name),
)
def _add_from_tuple_method(self, node, cls):
# from_tuple is discouraged anyway, so we provide only bare-bones types.
cls.members["from_tuple"] = overlay_utils.make_method(
vm=self.vm,
node=node,
name="from_tuple",
params=[overlay_utils.Param("args")],
return_type=cls,
kind=pytd.MethodTypes.STATICMETHOD,
)
