Apply heapq.nlargest() to find best matches.
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@ -29,6 +29,8 @@ __all__ = ['get_close_matches', 'ndiff', 'restore', 'SequenceMatcher',
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'Differ','IS_CHARACTER_JUNK', 'IS_LINE_JUNK', 'context_diff',
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'unified_diff']
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import heapq
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def _calculate_ratio(matches, length):
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if length:
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return 2.0 * matches / length
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@ -703,9 +705,9 @@ def get_close_matches(word, possibilities, n=3, cutoff=0.6):
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result.append((s.ratio(), x))
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# Move the best scorers to head of list
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result.sort(reverse=True)
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result = heapq.nlargest(result, n)
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# Strip scores for the best n matches
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return [x for score, x in result[:n]]
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return [x for score, x in result]
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def _count_leading(line, ch):
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"""
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