blob: 6a5b5bf85cc335fe9756da3b6ef6794aeea964d2 [file] [log] [blame]
from typing import Dict, Sequence, Optional, Callable
import mypy.subtypes
import mypy.sametypes
from mypy.expandtype import expand_type
from mypy.types import (
Type, TypeVarId, TypeVarType, CallableType, AnyType, PartialType, get_proper_types,
TypeVarLikeType, ProperType, ParamSpecType
)
from mypy.nodes import Context
def get_target_type(
tvar: TypeVarLikeType,
type: ProperType,
callable: CallableType,
report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None],
context: Context,
skip_unsatisfied: bool
) -> Optional[Type]:
# TODO(PEP612): fix for ParamSpecType
if isinstance(tvar, ParamSpecType):
return None
assert isinstance(tvar, TypeVarType)
values = get_proper_types(tvar.values)
if values:
if isinstance(type, AnyType):
return type
if isinstance(type, TypeVarType) and type.values:
# Allow substituting T1 for T if every allowed value of T1
# is also a legal value of T.
if all(any(mypy.sametypes.is_same_type(v, v1) for v in values)
for v1 in type.values):
return type
matching = []
for value in values:
if mypy.subtypes.is_subtype(type, value):
matching.append(value)
if matching:
best = matching[0]
# If there are more than one matching value, we select the narrowest
for match in matching[1:]:
if mypy.subtypes.is_subtype(match, best):
best = match
return best
if skip_unsatisfied:
return None
report_incompatible_typevar_value(callable, type, tvar.name, context)
else:
upper_bound = tvar.upper_bound
if not mypy.subtypes.is_subtype(type, upper_bound):
if skip_unsatisfied:
return None
report_incompatible_typevar_value(callable, type, tvar.name, context)
return type
def apply_generic_arguments(
callable: CallableType, orig_types: Sequence[Optional[Type]],
report_incompatible_typevar_value: Callable[[CallableType, Type, str, Context], None],
context: Context,
skip_unsatisfied: bool = False) -> CallableType:
"""Apply generic type arguments to a callable type.
For example, applying [int] to 'def [T] (T) -> T' results in
'def (int) -> int'.
Note that each type can be None; in this case, it will not be applied.
If `skip_unsatisfied` is True, then just skip the types that don't satisfy type variable
bound or constraints, instead of giving an error.
"""
tvars = callable.variables
assert len(tvars) == len(orig_types)
# Check that inferred type variable values are compatible with allowed
# values and bounds. Also, promote subtype values to allowed values.
types = get_proper_types(orig_types)
# Create a map from type variable id to target type.
id_to_type: Dict[TypeVarId, Type] = {}
for tvar, type in zip(tvars, types):
assert not isinstance(type, PartialType), "Internal error: must never apply partial type"
if type is None:
continue
target_type = get_target_type(
tvar, type, callable, report_incompatible_typevar_value, context, skip_unsatisfied
)
if target_type is not None:
id_to_type[tvar.id] = target_type
# Apply arguments to argument types.
arg_types = [expand_type(at, id_to_type) for at in callable.arg_types]
# The callable may retain some type vars if only some were applied.
remaining_tvars = [tv for tv in tvars if tv.id not in id_to_type]
return callable.copy_modified(
arg_types=arg_types,
ret_type=expand_type(callable.ret_type, id_to_type),
variables=remaining_tvars,
)