'nsmallest']
from itertools import islice, repeat, count, imap, izip, tee
-from operator import itemgetter
+from operator import itemgetter, neg
import bisect
def heappush(heap, item):
Equivalent to: sorted(iterable, key=key)[:n]
"""
- if key is None:
- return _nsmallest(n, iterable)
in1, in2 = tee(iterable)
it = izip(imap(key, in1), count(), in2) # decorate
result = _nsmallest(n, it)
Equivalent to: sorted(iterable, key=key, reverse=True)[:n]
"""
- if key is None:
- return _nlargest(n, iterable)
in1, in2 = tee(iterable)
- it = izip(imap(key, in1), count(), in2) # decorate
+ it = izip(imap(key, in1), imap(neg, count()), in2) # decorate
result = _nlargest(n, it)
return map(itemgetter(2), result) # undecorate
self.assertEqual(heap_sorted, sorted(data))
def test_nsmallest(self):
- data = [random.randrange(2000) for i in range(1000)]
- f = lambda x: x * 547 % 2000
- for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
- self.assertEqual(nsmallest(n, data), sorted(data)[:n])
- self.assertEqual(nsmallest(n, data, key=f),
- sorted(data, key=f)[:n])
+ data = [(random.randrange(2000), i) for i in range(1000)]
+ for f in (None, lambda x: x[0] * 547 % 2000):
+ for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
+ self.assertEqual(nsmallest(n, data), sorted(data)[:n])
+ self.assertEqual(nsmallest(n, data, key=f),
+ sorted(data, key=f)[:n])
def test_nlargest(self):
- data = [random.randrange(2000) for i in range(1000)]
- f = lambda x: x * 547 % 2000
- for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
- self.assertEqual(nlargest(n, data), sorted(data, reverse=True)[:n])
- self.assertEqual(nlargest(n, data, key=f),
- sorted(data, key=f, reverse=True)[:n])
+ data = [(random.randrange(2000), i) for i in range(1000)]
+ for f in (None, lambda x: x[0] * 547 % 2000):
+ for n in (0, 1, 2, 10, 100, 400, 999, 1000, 1100):
+ self.assertEqual(nlargest(n, data), sorted(data, reverse=True)[:n])
+ self.assertEqual(nlargest(n, data, key=f),
+ sorted(data, key=f, reverse=True)[:n])
#==============================================================================