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authorRaymond Hettinger <python@rcn.com>2002-12-29 23:03:38 (GMT)
committerRaymond Hettinger <python@rcn.com>2002-12-29 23:03:38 (GMT)
commit40f621709286a7a0f7e6f260c0fd020d0fac0de0 (patch)
treebd602fee432a253a0f454fc696d14734f18dd915 /Misc
parent5e65ce671c3d3113035dd7783b79d395c9d71b3d (diff)
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SF patch 658251: Install a C implementation of the Mersenne Twister as the
core generator for random.py.
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@@ -545,6 +545,25 @@ Library
and 'stop' arguments so long as each is in the range of Python's
bounded integers.
+- Thanks to Raymond Hettinger, random.random() now uses a new core
+ generator. The Mersenne Twister algorithm is implemented in C,
+ threadsafe, faster than the previous generator, has an astronomically
+ large period (2**19937-1), creates random floats to full 53-bit
+ precision, and may be the most widely tested random number generator
+ in existence.
+
+ The random.jumpahead(n) method has different semantics for the new
+ generator. Instead of jumping n steps ahead, it uses n and the
+ existing state to create a new state. This means that jumpahead()
+ continues to support multi-threaded code needing generators of
+ non-overlapping sequences. However, it will break code which relies
+ on jumpahead moving a specific number of steps forward.
+
+ The attributes random.whseed and random.__whseed have no meaning for
+ the new generator. Code using these attributes should switch to a
+ new class, random.WichmannHill which is provided for backward
+ compatibility and to make an alternate generator available.
+
- New "algorithms" module: heapq, implements a heap queue. Thanks to
Kevin O'Connor for the code and François Pinard for an entertaining
write-up explaining the theory and practical uses of heaps.