for testing and deploying your application
for finding and fixing issues
for empowering human code reviews
import sys
import typing
from . import _ctor
from . import _nillable_write
_T = typing.TypeVar("_T")
def _all_annotations(
cls: typing.Type[_T]
) -> typing.Iterator[typing.Tuple[typing.Type[_T], str, typing.Any]]:
for superclass in reversed(cls.__mro__):
for key, value in vars(superclass).get("__annotations__", {}).items():
yield (superclass, key, value)
def _sum_args_from_annotations(cls: typing.Type[_T]) -> typing.Dict[str, typing.Tuple]:
args: typing.Dict[str, typing.Tuple] = {}
for superclass, key, value in _all_annotations(cls):
_nillable_write.nillable_write(
args, key, _ctor.get_args(value, vars(sys.modules[superclass.__module__]))
)
return args
def _product_args_from_annotations(
) -> typing.Dict[str, typing.Any]:
args: typing.Dict[str, typing.Any] = {}
if value == "None" or _ctor.annotation_is_classvar(
value, vars(sys.modules[superclass.__module__])
):
value = None
_nillable_write.nillable_write(args, key, value)
mwchase /
python-structured-data
