blob: b49194f342e0f2a663c1f9ac567bc2a721811f93 [file] [log] [blame]
from typing import Union, List
from mypy.nodes import TypeInfo
from mypy.erasetype import erase_typevars
from mypy.types import Instance, TypeVarType, TupleType, Type, TypeOfAny, AnyType, ParamSpecType
def fill_typevars(typ: TypeInfo) -> Union[Instance, TupleType]:
"""For a non-generic type, return instance type representing the type.
For a generic G type with parameters T1, .., Tn, return G[T1, ..., Tn].
"""
tvs: List[Type] = []
# TODO: why do we need to keep both typ.type_vars and typ.defn.type_vars?
for i in range(len(typ.defn.type_vars)):
tv = typ.defn.type_vars[i]
# Change the line number
if isinstance(tv, TypeVarType):
tv = TypeVarType(
tv.name, tv.fullname, tv.id, tv.values,
tv.upper_bound, tv.variance, line=-1, column=-1,
)
else:
assert isinstance(tv, ParamSpecType)
tv = ParamSpecType(tv.name, tv.fullname, tv.id, tv.flavor, tv.upper_bound,
line=-1, column=-1)
tvs.append(tv)
inst = Instance(typ, tvs)
if typ.tuple_type is None:
return inst
return typ.tuple_type.copy_modified(fallback=inst)
def fill_typevars_with_any(typ: TypeInfo) -> Union[Instance, TupleType]:
"""Apply a correct number of Any's as type arguments to a type."""
inst = Instance(typ, [AnyType(TypeOfAny.special_form)] * len(typ.defn.type_vars))
if typ.tuple_type is None:
return inst
return typ.tuple_type.copy_modified(fallback=inst)
def has_no_typevars(typ: Type) -> bool:
# We test if a type contains type variables by erasing all type variables
# and comparing the result to the original type. We use comparison by equality that
# in turn uses `__eq__` defined for types. Note: we can't use `is_same_type` because
# it is not safe with unresolved forward references, while this function may be called
# before forward references resolution patch pass. Note also that it is not safe to use
# `is` comparison because `erase_typevars` doesn't preserve type identity.
return typ == erase_typevars(typ)