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Add key= argument to heapq.nsmallest() and heapq.nlargest().
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@ -90,16 +90,24 @@ True
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The module also offers two general purpose functions based on heaps.
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\begin{funcdesc}{nlargest}{n, iterable}
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\begin{funcdesc}{nlargest}{n, iterable\optional{, key}}
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Return a list with the \var{n} largest elements from the dataset defined
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by \var{iterable}. Equivalent to: \code{sorted(iterable, reverse=True)[:n]}
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\versionadded{2.4}
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by \var{iterable}. \var{key}, if provided, specifies a function of one
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argument that is used to extract a comparison key from each element
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in the iterable: \samp{\var{key}=\function{str.lower}}
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Equivalent to: \samp{sorted(iterable, key=key, reverse=True)[:n]}
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\versionadded{2.4}
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\versionchanged[Added the optional \var{key} argument]{2.5}
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\end{funcdesc}
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\begin{funcdesc}{nsmallest}{n, iterable}
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\begin{funcdesc}{nsmallest}{n, iterable\optional{, key}}
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Return a list with the \var{n} smallest elements from the dataset defined
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by \var{iterable}. Equivalent to: \code{sorted(iterable)[:n]}
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\versionadded{2.4}
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by \var{iterable}. \var{key}, if provided, specifies a function of one
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argument that is used to extract a comparison key from each element
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in the iterable: \samp{\var{key}=\function{str.lower}}
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Equivalent to: \samp{sorted(iterable, key=key)[:n]}
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\versionadded{2.4}
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\versionchanged[Added the optional \var{key} argument]{2.5}
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\end{funcdesc}
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Both functions perform best for smaller values of \var{n}. For larger
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30
Lib/heapq.py
30
Lib/heapq.py
@ -129,7 +129,8 @@ From all times, sorting has always been a Great Art! :-)
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__all__ = ['heappush', 'heappop', 'heapify', 'heapreplace', 'nlargest',
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'nsmallest']
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from itertools import islice, repeat
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from itertools import islice, repeat, count, imap, izip, tee
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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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@ -307,6 +308,33 @@ try:
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except ImportError:
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pass
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# Extend the implementations of nsmallest and nlargest to use a key= argument
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_nsmallest = nsmallest
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def nsmallest(n, iterable, key=None):
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"""Find the n smallest elements in a dataset.
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Equivalent to: sorted(iterable, key=key)[:n]
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"""
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if key is None:
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return _nsmallest(n, iterable)
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in1, in2 = tee(iterable)
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it = izip(imap(key, in1), count(), in2) # decorate
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result = _nsmallest(n, it)
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return map(itemgetter(2), result) # undecorate
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_nlargest = nlargest
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def nlargest(n, iterable, key=None):
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"""Find the n largest elements in a dataset.
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Equivalent to: sorted(iterable, key=key, reverse=True)[:n]
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"""
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if key is None:
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return _nlargest(n, iterable)
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in1, in2 = tee(iterable)
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it = izip(imap(key, in1), count(), in2) # decorate
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result = _nlargest(n, it)
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return map(itemgetter(2), result) # undecorate
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if __name__ == "__main__":
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# Simple sanity test
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heap = []
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@ -105,13 +105,19 @@ class TestHeap(unittest.TestCase):
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def test_nsmallest(self):
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data = [random.randrange(2000) for i in range(1000)]
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f = lambda x: x * 547 % 2000
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for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
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self.assertEqual(nsmallest(n, data), sorted(data)[:n])
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self.assertEqual(nsmallest(n, data, key=f),
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sorted(data, key=f)[:n])
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def test_largest(self):
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def test_nlargest(self):
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data = [random.randrange(2000) for i in range(1000)]
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f = lambda x: x * 547 % 2000
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for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
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self.assertEqual(nlargest(n, data), sorted(data, reverse=True)[:n])
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self.assertEqual(nlargest(n, data, key=f),
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sorted(data, key=f, reverse=True)[:n])
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#==============================================================================
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40
Misc/NEWS
40
Misc/NEWS
@ -4,6 +4,46 @@ Python News
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(editors: check NEWS.help for information about editing NEWS using ReST.)
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What's New in Python 2.5 alpha 1?
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=================================
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Core and builtins
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-----------------
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Extension Modules
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-----------------
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Library
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-------
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- heapq.nsmallest() and heapq.nlargest() now support key= arguments with
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the same meaning as for list.sort().
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Build
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-----
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C API
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-----
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Tests
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-----
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Mac
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---
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Tools/Demos
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-----------
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What's New in Python 2.4 final?
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===============================
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