large population: sample(xrange(10000000), 60)
"""
+ # XXX Although the documentation says `population` is "a sequence",
+ # XXX attempts are made to cater to any iterable with a __len__
+ # XXX method. This has had mixed success. Examples from both
+ # XXX sides: sets work fine, and should become officially supported;
+ # XXX dicts are much harder, and have failed in various subtle
+ # XXX ways across attempts. Support for mapping types should probably
+ # XXX be dropped (and users should pass mapping.keys() or .values()
+ # XXX explicitly).
+
# Sampling without replacement entails tracking either potential
# selections (the pool) in a list or previous selections in a
# dictionary.
random = self.random
_int = int
result = [None] * k
- if n < 6 * k: # if n len list takes less space than a k len dict
+ if n < 6 * k or hasattr(population, "keys"):
+ # An n-length list is smaller than a k-length set, or this is a
+ # mapping type so the other algorithm wouldn't work.
pool = list(population)
for i in xrange(k): # invariant: non-selected at [0,n-i)
j = _int(random() * (n-i))
while j in selected:
j = _int(random() * n)
result[i] = selected[j] = population[j]
- except (TypeError, KeyError): # handle sets and dictionaries
+ except (TypeError, KeyError): # handle (at least) sets
if isinstance(population, list):
raise
- return self.sample(list(population), k)
+ return self.sample(tuple(population), k)
return result
## -------------------- real-valued distributions -------------------
self.gen.sample(set(range(20)), 2)
self.gen.sample(range(20), 2)
self.gen.sample(xrange(20), 2)
- self.gen.sample(dict.fromkeys('abcdefghijklmnopqrst'), 2)
self.gen.sample(str('abcdefghijklmnopqrst'), 2)
self.gen.sample(tuple('abcdefghijklmnopqrst'), 2)
+
+ def test_sample_on_dicts(self):
+ self.gen.sample(dict.fromkeys('abcdefghijklmnopqrst'), 2)
+
# SF bug #1460340 -- random.sample can raise KeyError
a = dict.fromkeys(range(10)+range(10,100,2)+range(100,110))
- self.gen.sample(a,3)
+ self.gen.sample(a, 3)
+
+ # A followup to bug #1460340: sampling from a dict could return
+ # a subset of its keys or of its values, depending on the size of
+ # the subset requested.
+ N = 30
+ d = dict((i, complex(i, i)) for i in xrange(N))
+ for k in xrange(N+1):
+ samp = self.gen.sample(d, k)
+ # Verify that we got ints back (keys); the values are complex.
+ for x in samp:
+ self.assert_(type(x) is int)
+ samp.sort()
+ self.assertEqual(samp, range(N))
def test_gauss(self):
# Ensure that the seed() method initializes all the hidden state. In
(editors: check NEWS.help for information about editing NEWS using ReST.)
+What's New in Python 2.4.4c1?
+=============================
+
+*Release date: DD-MMM-2006*
+
+Library
+-------
+
+- Bug #1460340: ``random.sample(dict)`` failed in various ways. Dicts
+ aren't officially supported here, and trying to use them will probably
+ raise an exception some day. But dicts have been allowed, and "mostly
+ worked", so support for them won't go away without warning.
+
+
What's New in Python 2.4.3?
===========================
- A few reference leaks were squished.
-- A threading issue that caused random segfaults on some platforms from
+- A threading issue that caused random segfaults on some platforms from
the testsuite was fixed in test_capi.
-- Reverted fix for Bug #1379994: Builtin unicode_escape and
+- Reverted fix for Bug #1379994: Builtin unicode_escape and
raw_unicode_escape codec now encodes backslash correctly.
This caused another issue for unicode repr strings being double-escaped
(SF Bug #1459029). Correct fix will be in 2.5, but is too risky for 2.4.3.