Port r69838: Speedup and simplify negative counter using count's new step argument.
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@ -130,7 +130,7 @@ __all__ = ['heappush', 'heappop', 'heapify', 'heapreplace', 'merge',
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'nlargest', 'nsmallest', 'heappushpop']
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from itertools import islice, repeat, count, tee, chain
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from operator import itemgetter, neg
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from operator import itemgetter
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import bisect
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def heappush(heap, item):
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@ -413,13 +413,13 @@ def nlargest(n, iterable, key=None):
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# When key is none, use simpler decoration
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if key is None:
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it = zip(iterable, map(neg, count())) # decorate
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it = zip(iterable, count(0,-1)) # decorate
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result = _nlargest(n, it)
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return list(map(itemgetter(0), result)) # undecorate
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# General case, slowest method
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in1, in2 = tee(iterable)
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it = zip(map(key, in1), map(neg, count()), in2) # decorate
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it = zip(map(key, in1), count(0,-1), in2) # decorate
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result = _nlargest(n, it)
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return list(map(itemgetter(2), result)) # undecorate
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