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Switch to much simpler solution for preserving unbound type vars

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Co-Authored-By: Dave Halter <davidhalter88@gmail.com>
This commit is contained in:
Peter Law
2020-06-26 11:23:35 +01:00
parent 5184d0cb9c
commit f72adf0cbc
2 changed files with 3 additions and 17 deletions
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jedi/inference/gradual/annotation.py
+2 -2
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@@ -14,7 +14,7 @@ from jedi.inference.cache import inference_state_method_cache
from jedi.inference.base_value import ValueSet, NO_VALUES
from jedi.inference.gradual.base import DefineGenericBaseClass, GenericClass
from jedi.inference.gradual.generics import TupleGenericManager
from jedi.inference.gradual.type_var import TypeVar, TypeVarWrapper
from jedi.inference.gradual.type_var import TypeVar
from jedi.inference.helpers import is_string
from jedi.inference.compiled import builtin_from_name
from jedi.inference.param import get_executed_param_names
@@ -281,7 +281,7 @@ def infer_return_for_callable(arguments, param_values, result_values):
return ValueSet.from_sets(
v.define_generics(all_type_vars)
if isinstance(v, (DefineGenericBaseClass, TypeVar, TypeVarWrapper))
if isinstance(v, (DefineGenericBaseClass, TypeVar))
else ValueSet({v})
for v in result_values
).execute_annotation()