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This commit is contained in:
Peter Law
2020-03-18 21:01:41 +00:00
parent da9d312185
commit 0f8e7b453e
1 changed files with 6 additions and 3 deletions
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9
jedi/inference/gradual/annotation.py
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@@ -429,8 +429,9 @@ def _infer_type_vars(annotation_value, value_set, is_class_value=False):
nested_annotation_value,
value_set,
is_class_value=True,
)
),
)
elif annotation_name == 'Callable':
given = annotation_value.get_generics()
if len(given) == 2:
@@ -440,8 +441,9 @@ def _infer_type_vars(annotation_value, value_set, is_class_value=False):
_infer_type_vars(
nested_annotation_value,
value_set.execute_annotation(),
)
),
)
elif annotation_name == 'Tuple':
annotation_generics = annotation_value.get_generics()
tuple_annotation, = annotation_value.execute_annotation()
@@ -458,6 +460,7 @@ def _infer_type_vars(annotation_value, value_set, is_class_value=False):
value_set.merge_types_of_iterate(),
),
)
else:
# The parameter annotation has only explicit type parameters
# (e.g: `Tuple[T]`, `Tuple[T, U]`, `Tuple[T, U, V]`, etc.) so we
@@ -484,7 +487,7 @@ def _infer_type_vars(annotation_value, value_set, is_class_value=False):
_infer_type_vars(
nested_annotation_value,
value_set.merge_types_of_iterate(),
)
),
)
else:
# Note: we need to handle the MRO _in order_, so we need to extract