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Create separate classes for FakeSequence

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Dave Halter
2019-08-25 14:31:15 +02:00
parent 51912db46a
commit 473dbb0f69
5 changed files with 28 additions and 22 deletions
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7
jedi/inference/docstrings.py
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@@ -253,8 +253,8 @@ def _execute_array_values(inference_state, array):
Tuples indicate that there's not just one return value, but the listed
ones. `(str, int)` means that it returns a tuple with both types.
"""
from jedi.inference.value.iterable import SequenceLiteralValue, FakeSequence
if isinstance(array, SequenceLiteralValue):
from jedi.inference.value.iterable import SequenceLiteralValue, FakeTuple, FakeList
if isinstance(array, SequenceLiteralValue) and array.array_type in ('tuple', 'list'):
values = []
for lazy_value in array.py__iter__():
objects = ValueSet.from_sets(
@@ -262,7 +262,8 @@ def _execute_array_values(inference_state, array):
for typ in lazy_value.infer()
)
values.append(LazyKnownValues(objects))
return {FakeSequence(inference_state, array.array_type, values)}
cls = FakeTuple if array.array_type == 'tuple' else FakeList
return {cls(inference_state, values)}
else:
return array.execute_annotation()