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small evaluate.iterable.Array optimization

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This commit is contained in:
Dave Halter
2014-04-22 10:13:23 +02:00
parent eaf54942fc
commit 2a0423302c
1 changed files with 5 additions and 4 deletions
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9
jedi/evaluate/iterable.py
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@@ -98,7 +98,8 @@ class Array(use_metaclass(CachedMetaClass, pr.Base)):
self._evaluator = evaluator
self._array = array
def get_index_types(self, indexes=[]):
@memoize_default()
def get_index_types(self, indexes=()):
"""
Get the types of a specific index or all, if not given.
@@ -455,7 +456,7 @@ class Slice(object):
def create_indexes_or_slices(evaluator, index_array):
if not index_array:
return []
return ()
# Just take the first part of the "array", because this is Python stdlib
# behavior. Numpy et al. perform differently, but Jedi won't understand
@@ -473,6 +474,6 @@ def create_indexes_or_slices(evaluator, index_array):
else:
stop = prec.right
step = None
return [Slice(evaluator, start, stop, step)]
return (Slice(evaluator, start, stop, step),)
else:
return evaluator.process_precedence_element(prec)
return tuple(evaluator.process_precedence_element(prec))