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Make nested Type[T] annotations work

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This commit is contained in:
Peter Law
2020-02-22 22:10:59 +00:00
parent bc53dabce3
commit c03ae0315e
1 changed files with 29 additions and 8 deletions
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37
jedi/inference/gradual/annotation.py
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@@ -343,15 +343,36 @@ def _infer_type_vars(annotation_value, value_set, is_class_value=False):
if annotation_name == 'Type':
given = annotation_value.get_generics()
if given:
for nested_annotation_value in given[0]:
_merge_type_var_dicts(
type_var_dict,
_infer_type_vars(
nested_annotation_value,
value_set,
is_class_value=True,
if is_class_value:
for element in value_set:
element_name = element.py__name__()
if annotation_name == element_name:
annotation_generics = annotation_value.get_generics()
actual_generics = element.get_generics()
for annotation_generics_set, actual_generic_set in zip(annotation_generics, actual_generics):
for nested_annotation_value in annotation_generics_set:
_merge_type_var_dicts(
type_var_dict,
_infer_type_vars(
nested_annotation_value,
actual_generic_set,
# This is a note to ourselves that we
# have already converted the instance
# representation to its class.
is_class_value=True,
),
)
else:
for nested_annotation_value in given[0]:
_merge_type_var_dicts(
type_var_dict,
_infer_type_vars(
nested_annotation_value,
value_set,
is_class_value=True,
)
)
)
elif annotation_name == 'Callable':
given = annotation_value.get_generics()
if len(given) == 2: