chore: import upstream snapshot with attribution

python/ray/_private/thirdparty/dacite/dataclasses.py

@@ -0,0 +1,33 @@
+from dataclasses import Field, MISSING, _FIELDS, _FIELD, _FIELD_INITVAR  # type: ignore
+from typing import Type, Any, TypeVar, List
+
+from .data import Data
+from .types import is_optional
+
+T = TypeVar("T", bound=Any)
+
+
+class DefaultValueNotFoundError(Exception):
+    pass
+
+
+def get_default_value_for_field(field: Field) -> Any:
+    if field.default != MISSING:
+        return field.default
+    elif field.default_factory != MISSING:  # type: ignore
+        return field.default_factory()  # type: ignore
+    elif is_optional(field.type):
+        return None
+    raise DefaultValueNotFoundError()
+
+
+def create_instance(data_class: Type[T], init_values: Data, post_init_values: Data) -> T:
+    instance = data_class(**init_values)
+    for key, value in post_init_values.items():
+        setattr(instance, key, value)
+    return instance
+
+
+def get_fields(data_class: Type[T]) -> List[Field]:
+    fields = getattr(data_class, _FIELDS)
+    return [f for f in fields.values() if f._field_type is _FIELD or f._field_type is _FIELD_INITVAR]