Commit Graph

29 Commits

Author SHA1 Message Date
Martin v. Löwis 6b449f4f2b Issue #1727780: Support loading pickles of random.Random objects created
on 32-bit systems on 64-bit systems, and vice versa. As a consequence
of the change, Random pickles created by Python 2.6 cannot be loaded
in Python 2.5.
2007-12-03 19:20:02 +00:00
Brett Cannon 2ee4128e9b Remove test.test_support.guard_warnings_filter.
test.test_support.catch_warning is more full-featured and provides the same
functionality.

Since guard_warnings_filter was added in 2.6 there is no
backwards-compatibility issues.
2007-08-14 05:51:06 +00:00
Georg Brandl b84c13792d Bug #1486663: don't reject keyword arguments for subclasses of builtin
types.
2007-01-21 10:28:43 +00:00
Raymond Hettinger 94547f7646 Bug #1590891: random.randrange don't return correct value for big number
Needs to be backported.
2006-12-20 06:42:06 +00:00
Brett Cannon 6d9520c4f0 Add test.test_support.guard_warnings_filter . This function returns a context
manager that protects warnings.filter from being modified once the context is
exited.
2006-12-13 23:09:53 +00:00
Tim Peters c17976e983 Another crack at bug #1460340: make random.sample(dict)
work, this time by ugly brute force.
2006-04-01 00:26:53 +00:00
Raymond Hettinger 3c3346daa9 SF bug #1460340: random.sample can raise KeyError
Fix the hit and miss style of testing for sets and dicts.
2006-03-29 09:13:13 +00:00
Raymond Hettinger ffdb8bb99c Use floor division operator. 2004-09-27 15:29:05 +00:00
Raymond Hettinger 23f1241dc6 SF #1027105: HardwareRandom should be renamed OSRandom
Renamed the new generator at Trevor's recommendation.
The name HardwareRandom suggested a bit more than it
delivered (no radioactive decay detectors or such).
2004-09-13 22:23:21 +00:00
Raymond Hettinger c1c43cad63 Fulfill Martin's request to use try/except rather than a "look before
you leap" approach.  Makes the early call to os.urandom() unnecessary.
2004-09-05 00:00:42 +00:00
Raymond Hettinger b871763156 SF bug #1022010: Import random fails
* Complete the previous patch by making sure that the MachineRandom
  tests are only run when the underlying resource is available.
2004-09-04 20:13:29 +00:00
Raymond Hettinger 356a4599ac Teach the random module about os.urandom().
* Use it for seeding when it is available.
* Provide an alternate generator based on it.
2004-08-30 06:14:31 +00:00
Raymond Hettinger 5833587d14 Add some tests for corner cases. 2004-07-09 14:26:18 +00:00
Raymond Hettinger a690a9967e * Migrate set() and frozenset() from the sandbox.
* Install the unittests, docs, newsitem, include file, and makefile update.
* Exercise the new functions whereever sets.py was being used.

Includes the docs for libfuncs.tex.  Separate docs for the types are
forthcoming.
2003-11-16 16:17:49 +00:00
Raymond Hettinger 2f726e9093 SF bug #812202: randint is always even
* Added C coded getrandbits(k) method that runs in linear time.
* Call the new method from randrange() for ranges >= 2**53.
* Adds a warning for generators not defining getrandbits() whenever they
  have a call to randrange() with too large of a population.
2003-10-05 09:09:15 +00:00
Raymond Hettinger 66d09f1b30 SF bug #801342: Bug (documentation or real, your choice) in random.sample.
random.sample() uses one of two algorithms depending on the ratio of the
sample size to the population size.  One of the algorithms accepted any
iterable population argument so long as it defined __len__().  The other
had a stronger requirement that the population argument be indexable.

While it met the documentation specifications which insisted that the
population argument be a sequence, it made random.sample() less usable
with sets.  So, the second algorithm was modified to coerce non-indexable
iterables and dictionaries into a tuple before proceeding.
2003-09-06 04:25:54 +00:00
Raymond Hettinger 3081d59f92 SF bug #778964: bad seed in python 2.3 random
The default seed is time.time().
Multiplied by 256 before truncating so that fractional seconds are used.
This way, two successive calls to random.seed() are much more likely
to produce different sequences.
2003-08-09 18:30:57 +00:00
Raymond Hettinger 5f078ff7f0 SF bug #759889: Pickling of Random is broken
* Implement __reduce__() to support pickling.
* Add a test case to prove a successful roundtrip through pickle.
2003-06-24 20:29:04 +00:00
Raymond Hettinger 27922eef35 Apply the simplified test_support boilerplate. 2003-05-03 03:38:01 +00:00
Raymond Hettinger 320a1b0454 Simplify ref count test. 2003-05-02 22:44:59 +00:00
Raymond Hettinger 785d0a37e5 SF bug #690083: test_random fails sometimes
time.sleep(1) sometimes delays for fractionally less than a second
resulting in too short of an interval for C's time.time() function
to create a distinct seed.
2003-02-21 01:41:36 +00:00
Raymond Hettinger 105b084b59 Add refcount test. 2003-02-04 05:47:30 +00:00
Raymond Hettinger 7b0cf76b72 * Migrate sample distribution test from random.py to test_random.py.
* Use Sets module to more clearly articulate a couple of tests.
2003-01-17 17:23:23 +00:00
Raymond Hettinger 3dd990c53a Move the statistical tests for four distributions into the unittest suite. 2003-01-05 09:20:06 +00:00
Raymond Hettinger 15ec3731cf Add a test case. 2003-01-05 01:08:34 +00:00
Raymond Hettinger 8ec78814c1 Test an edge case for sample(). 2003-01-04 05:55:11 +00:00
Raymond Hettinger 40f6217092 SF patch 658251: Install a C implementation of the Mersenne Twister as the
core generator for random.py.
2002-12-29 23:03:38 +00:00
Barry Warsaw 04f357cffe Get rid of relative imports in all unittests. Now anything that
imports e.g. test_support must do so using an absolute package name
such as "import test.test_support" or "from test import test_support".

This also updates the README in Lib/test, and gets rid of the
duplicate data dirctory in Lib/test/data (replaced by
Lib/email/test/data).

Now Tim and Jack can have at it. :)
2002-07-23 19:04:11 +00:00
Tim Peters 46c04e140c random.gauss() uses a piece of hidden state used by nothing else,
and the .seed() and .whseed() methods failed to reset it.  In other
words, setting the seed didn't completely determine the sequence of
results produced by random.gauss().  It does now.  Programs repeatedly
mixing calls to a seed method with calls to gauss() may see different
results now.

Bugfix candidate (random.gauss() has always been broken in this way),
despite that it may change results.
2002-05-05 20:40:00 +00:00