blob: 1ebeb923f5a356b8b054f345846748c8742847b7 [file] [log] [blame]
"""Type inference constraint solving"""
from typing import List, Dict
from mypy.types import Type, Void, NoneTyp, AnyType, ErrorType, UninhabitedType, TypeVarId
from mypy.constraints import Constraint, SUPERTYPE_OF
from mypy.join import join_types
from mypy.meet import meet_types
from mypy.subtypes import is_subtype
from mypy import experiments
def solve_constraints(vars: List[TypeVarId], constraints: List[Constraint],
strict: bool =True) -> List[Type]:
"""Solve type constraints.
Return the best type(s) for type variables; each type can be None if the value of the variable
could not be solved.
If a variable has no constraints, if strict=True then arbitrarily
pick NoneTyp as the value of the type variable. If strict=False,
pick AnyType.
"""
# Collect a list of constraints for each type variable.
cmap = {} # type: Dict[TypeVarId, List[Constraint]]
for con in constraints:
a = cmap.get(con.type_var, []) # type: List[Constraint]
a.append(con)
cmap[con.type_var] = a
res = [] # type: List[Type]
# Solve each type variable separately.
for tvar in vars:
bottom = None # type: Type
top = None # type: Type
# Process each constraint separately, and calculate the lower and upper
# bounds based on constraints. Note that we assume that the constraint
# targets do not have constraint references.
for c in cmap.get(tvar, []):
if c.op == SUPERTYPE_OF:
if bottom is None:
bottom = c.target
else:
bottom = join_types(bottom, c.target)
else:
if top is None:
top = c.target
else:
top = meet_types(top, c.target)
if isinstance(top, AnyType) or isinstance(bottom, AnyType):
res.append(AnyType())
continue
elif bottom is None:
if top:
candidate = top
else:
# No constraints for type variable -- type 'None' is the most specific type.
if strict:
if experiments.STRICT_OPTIONAL:
candidate = UninhabitedType()
else:
candidate = NoneTyp()
else:
candidate = AnyType()
elif top is None:
candidate = bottom
elif is_subtype(bottom, top):
candidate = bottom
else:
candidate = None
if isinstance(candidate, ErrorType):
res.append(None)
else:
res.append(candidate)
return res