def impl_numba_typeref_ctor(cls):
"""
Defines ``Dict()``, the type-inferred version of the dictionary ctor.
Parameters
----------
cls : TypeRef
Expecting a TypeRef of a precise DictType.
See also: `redirect_type_ctor` in numba/target/bulitins.py
"""
dict_ty = cls.instance_type
if not isinstance(dict_ty, types.DictType):
msg = "expecting a DictType but got {}".format(dict_ty)
return # reject
# Ensure the dictionary is precisely typed.
if not dict_ty.is_precise():
msg = "expecting a precise DictType but got {}".format(dict_ty)
raise errors.LoweringError(msg)
key_type = types.TypeRef(dict_ty.key_type)
value_type = types.TypeRef(dict_ty.value_type)
def impl(cls):
# Simply call .empty() with the key/value types from *cls*
return Dict.empty(key_type, value_type)
return impl
def impl_numba_typeref_ctor(cls):
"""
Defines ``List()``, the type-inferred version of the list ctor.
Parameters
----------
cls : TypeRef
Expecting a TypeRef of a precise ListType.
See also: `redirect_type_ctor` in numba/target/bulitins.py
"""
list_ty = cls.instance_type
if not isinstance(list_ty, types.ListType):
msg = "expecting a ListType but got {}".format(list_ty)
return # reject
# Ensure the list is precisely typed.
if not list_ty.is_precise():
msg = "expecting a precise ListType but got {}".format(list_ty)
raise errors.LoweringError(msg)
item_type = types.TypeRef(list_ty.item_type)
def impl(cls):
# Simply call .empty_list with the item types from *cls*
return List.empty_list(item_type)
return impl