[Python-checkins] python/dist/src/Lib/test test_heapq.py,1.4,1.5

tim_one@users.sourceforge.net tim_one@users.sourceforge.net
2002年8月02日 19:11:28 -0700


Update of /cvsroot/python/python/dist/src/Lib/test
In directory usw-pr-cvs1:/tmp/cvs-serv18315/python/lib/test
Modified Files:
	test_heapq.py 
Log Message:
Minor fiddling, including a simple class to implement a heap iterator
in the test file. I have docs for heapq.heapify ready to check in, but
Jack appears to have left behind a stale lock in the Doc/lib directory.
Index: test_heapq.py
===================================================================
RCS file: /cvsroot/python/python/dist/src/Lib/test/test_heapq.py,v
retrieving revision 1.4
retrieving revision 1.5
diff -C2 -d -r1.4 -r1.5
*** test_heapq.py	2 Aug 2002 21:48:06 -0000	1.4
--- test_heapq.py	3 Aug 2002 02:11:26 -0000	1.5
***************
*** 13,16 ****
--- 13,30 ----
 verify(heap[parentpos] <= item)
 
+ # An iterator returning a heap's elements, smallest-first.
+ class heapiter(object):
+ def __init__(self, heap):
+ self.heap = heap
+ 
+ def next(self):
+ try:
+ return heappop(self.heap)
+ except IndexError:
+ raise StopIteration
+ 
+ def __iter__(self):
+ return self
+ 
 def test_main():
 # 1) Push 100 random numbers and pop them off, verifying all's OK.
***************
*** 48,52 ****
 # 5) Less-naive "N-best" algorithm, much faster (if len(data) is big
 # enough <wink>) than sorting all of data. However, if we had a max
! # heap instead of a min heap, it would go much faster still via
 # heapify'ing all of data (linear time), then doing 10 heappops
 # (10 log-time steps).
--- 62,66 ----
 # 5) Less-naive "N-best" algorithm, much faster (if len(data) is big
 # enough <wink>) than sorting all of data. However, if we had a max
! # heap instead of a min heap, it could go faster still via
 # heapify'ing all of data (linear time), then doing 10 heappops
 # (10 log-time steps).
***************
*** 54,62 ****
 heapify(heap)
 for item in data[10:]:
! if item > heap[0]: # this gets rarer and rarer the longer we run
 heappush(heap, item)
! heappop(heap)
! heap.sort()
! vereq(heap, data_sorted[-10:])
 # Make user happy
 if verbose:
--- 68,75 ----
 heapify(heap)
 for item in data[10:]:
! if item > heap[0]: # this gets rarer the longer we run
! heappop(heap) # we know heap[0] isn't in best 10 anymore
 heappush(heap, item)
! vereq(list(heapiter(heap)), data_sorted[-10:])
 # Make user happy
 if verbose:

AltStyle によって変換されたページ (->オリジナル) /