Re: random module question
>> Is Mersenne Twister currently available at all in Jython, for example? Googling for "java mersenne twister" provides multiple hits including: http://www.axlradius.com/freestuff/Free.htm#MT Raymond -- http://mail.python.org/mailman/listinfo/python-list
Re: random module question
Raymond Hettinger wrote: > The answer is a qualified Yes. While the core generator (currently Thanks! That is the answer I'm looking for. And to Paul Rubin, it is a good point that Jython might not support it, but at this point it doesn't interest me. The program is only for myself anyway. R -- http://mail.python.org/mailman/listinfo/python-list
Re: random module question
"Raymond Hettinger" <[EMAIL PROTECTED]> writes: > >> Can I rely on the random.py module to produce the same series of > >> numbers for future/past versions of Python, given the same seed? > > The answer is a qualified Yes. While the core generator (currently the > Mersenne Twister algorithm) is subject to change across versions, > whenever we've updated the generator, a backward compatable version is > offered (random.WichmannHill for example). Is Mersenne Twister currently available at all in Jython, for example? -- http://mail.python.org/mailman/listinfo/python-list
Re: random module question
>> Can I rely on the random.py module to produce the same series of >> numbers for future/past versions of Python, given the same seed? The answer is a qualified Yes. While the core generator (currently the Mersenne Twister algorithm) is subject to change across versions, whenever we've updated the generator, a backward compatable version is offered (random.WichmannHill for example). So, it should always be possible to recreate a series but you may have to change the calling code to point to the correct generator. >> Can I rely on it across different architectures and operating systems? The current Mersenne Twister algorithm is guaranteed to produce the same results across different architectures and operating systems. That is evident from the test suite which verifies a bit-by-bit match to a target test sequence (the test is expected to pass on all C boxes with at least 53 bit floating point precision). Of course, none of the above applies to random.SystemRandom which accesses system generated entropy sources. Raymond Hettinger -- http://mail.python.org/mailman/listinfo/python-list
Re: random module question
"Roose" <[EMAIL PROTECTED]> writes: > Can I rely on the random.py module to produce the same series of numbers for > future/past versions of Python, given the same seed? Can I rely on it > across different architectures and operating systems? > > I looked at the docs and couldn't find this stated anywhere. My feeling is > yes, but it's a fairly big claim so I want to make sure. I do not think you should rely on this. It uses a very specific algorithm (Mersenne Twister) which is written in C and is nonstandard, and future Python implementers shouldn't be expected to implement the exact same algorithm. It's probably already unavailable in Jython. See SF bug 917055 for some further discussion. -- http://mail.python.org/mailman/listinfo/python-list
random module question
Can I rely on the random.py module to produce the same series of numbers for future/past versions of Python, given the same seed? Can I rely on it across different architectures and operating systems? I looked at the docs and couldn't find this stated anywhere. My feeling is yes, but it's a fairly big claim so I want to make sure. R -- http://mail.python.org/mailman/listinfo/python-list
