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They were added in 2.7.4 onwards though.
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Github user mateiz commented on the pull request:
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Got it, I think this is okay for now then, but please add some comments in
the code to explain that this is an internal API and didn't seem to change
across Python versions.
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Hey Matei,
Got rid of copying `heapq.py` and all the license stuff. But resorted to
using internal API of heapq though. It should be simpler.
I ju
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Github user ScrapCodes commented on the pull request:
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PriorityQueue in a way is just a wrapper over heapq and allows for blocking
for put and get(AFAIU). We would need maxheapq to retain the top N smallest
elements. One oth
Github user mateiz commented on the pull request:
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BTW as mentioned above please use PriorityQueue here instead of copying
their heap. It's just a lot of work to copy the heap.. we can take the
performance hit instead.
---
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takeOrdered should always return the smallest elements according to the
ordering, so it's not the same as top. For example takeOrdered(2) on [1,2,3,4]
should return [1,2]. B
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Hi Matei,
Does this mean that when key is None, then it would do the same thing as
top ? In case NO, then we would need a maxheap since min heap will only keep N
Github user mateiz commented on the pull request:
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Hi Prashant,
For this feature I think it would be better to use a "key" function instead
of a boolean flag for the order. So make the API like this:
```
def
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Jenkins, test this please.
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Hey Matei,
PSF License is included now, I was not sure if the entire history of
license should be included.
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--- Diff: python/pyspark/maxheapq.py ---
@@ -0,0 +1,115 @@
+# -*- coding: latin-1 -*-
+
+"""Heap queue algorithm (a.k.a. priority queue).
+
Github user mateiz commented on a diff in the pull request:
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--- Diff: python/pyspark/maxheapq.py ---
@@ -0,0 +1,115 @@
+# -*- coding: latin-1 -*-
+
+"""Heap queue algorithm (a.k.a. priority queue).
+
+#
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GitHub user ScrapCodes opened a pull request:
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Spark 1162 Implemented takeOrdered in pyspark.
Since python does not have a library for max heap and usual tricks like
inverting values etc.. does not work for all cases. So best thing I could thin
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