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authorRaymond Hettinger <python@rcn.com>2004-06-12 08:33:36 +0000
committerRaymond Hettinger <python@rcn.com>2004-06-12 08:33:36 +0000
commitb25aa36f83a3cd2200f2bc479e594458e27794a3 (patch)
treeafdd8051a7b152562b6a4a006fe7fe814113021e /Lib/test/test_heapq.py
parent2e6694086f07d293d1907891f68cec6076d44f73 (diff)
downloadcpython-git-b25aa36f83a3cd2200f2bc479e594458e27794a3.tar.gz
Improve the memory performance and speed of heapq.nsmallest() by using
an alternate algorithm when the number of selected items is small relative to the full iterable.
Diffstat (limited to 'Lib/test/test_heapq.py')
-rw-r--r--Lib/test/test_heapq.py1
1 files changed, 1 insertions, 0 deletions
diff --git a/Lib/test/test_heapq.py b/Lib/test/test_heapq.py
index 944b17dcc7..1cdaabe886 100644
--- a/Lib/test/test_heapq.py
+++ b/Lib/test/test_heapq.py
@@ -92,6 +92,7 @@ class TestHeap(unittest.TestCase):
def test_nsmallest(self):
data = [random.randrange(2000) for i in range(1000)]
self.assertEqual(nsmallest(data, 400), sorted(data)[:400])
+ self.assertEqual(nsmallest(data, 50), sorted(data)[:50])
def test_largest(self):
data = [random.randrange(2000) for i in range(1000)]