Github user davies commented on a diff in the pull request:

    https://github.com/apache/spark/pull/1744#discussion_r15893160
  
    --- Diff: python/pyspark/tests.py ---
    @@ -62,53 +62,53 @@ def setUp(self):
             self.N = 1 << 16
             self.l = [i for i in xrange(self.N)]
             self.data = zip(self.l, self.l)
    -        self.agg = Aggregator(lambda x: [x], 
    -                lambda x, y: x.append(y) or x,
    -                lambda x, y: x.extend(y) or x)
    +        self.agg = Aggregator(lambda x: [x],
    +                              lambda x, y: x.append(y) or x,
    +                              lambda x, y: x.extend(y) or x)
     
         def test_in_memory(self):
             m = InMemoryMerger(self.agg)
             m.mergeValues(self.data)
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)))
    +                         sum(xrange(self.N)))
     
             m = InMemoryMerger(self.agg)
             m.mergeCombiners(map(lambda (x, y): (x, [y]), self.data))
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)))
    +                         sum(xrange(self.N)))
     
         def test_small_dataset(self):
             m = ExternalMerger(self.agg, 1000)
             m.mergeValues(self.data)
             self.assertEqual(m.spills, 0)
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)))
    +                         sum(xrange(self.N)))
     
             m = ExternalMerger(self.agg, 1000)
             m.mergeCombiners(map(lambda (x, y): (x, [y]), self.data))
             self.assertEqual(m.spills, 0)
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)))
    +                         sum(xrange(self.N)))
     
         def test_medium_dataset(self):
             m = ExternalMerger(self.agg, 10)
             m.mergeValues(self.data)
             self.assertTrue(m.spills >= 1)
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)))
    +                         sum(xrange(self.N)))
     
             m = ExternalMerger(self.agg, 10)
             m.mergeCombiners(map(lambda (x, y): (x, [y]), self.data * 3))
             self.assertTrue(m.spills >= 1)
             self.assertEqual(sum(sum(v) for k, v in m.iteritems()),
    -                sum(xrange(self.N)) * 3)
    +                         sum(xrange(self.N)) * 3)
     
         def test_huge_dataset(self):
             m = ExternalMerger(self.agg, 10)
             m.mergeCombiners(map(lambda (k, v): (k, [str(v)]), self.data * 10))
             self.assertTrue(m.spills >= 1)
             self.assertEqual(sum(len(v) for k, v in 
m._recursive_merged_items(0)),
    -                self.N * 10)
    +                         self.N * 10)
    --- End diff --
    
    Oh, I see, thanks. I should read pep8 more carefully.


---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to