***[Possible UCE]*** Re: [SciPy-dev] Re: [Numpy-discussion] Release of scipycorebetawillhappen next week.
Travis Oliphant
oliphant at ee.byu.edu
Wed Sep 28 01:22:27 CDT 2005
Robert Kern wrote:
>Travis Oliphant wrote:
>
>
>
>>I presume we need to convert all of the pdfs from RNG and random_lite now?
>>
>>
>
>No, not really.
>
>mtrand.pyx:
>261: def seed(self, seed=None):
>282: def set_state(self, state):
>293: def get_state(self):
>303: def random_sample(self, size=None):
>310: def tomaxint(self, size=None):
>318: def randint(self, low, high=None, size=None):
>352: def bytes(self, unsigned int length):
>364: def uniform(self, double low=0.0, double high=1.0, size=None):
>372: def standard_normal(self, size=None):
>379: def normal(self, double loc=0.0, double scale=1.0, size=None):
>388: def beta(self, double a, double b, size=None):
>399: def exponential(self, double scale=1.0, size=None):
>408: def standard_exponential(self, size=None):
>415: def standard_gamma(self, double shape, size=None):
>424: def gamma(self, double shape, double scale=1.0, size=None):
>435: def f(self, double dfnum, double dfden, size=None):
>446: def noncentral_f(self, double dfnum, double dfden, double nonc,
>size=None):
>460: def chisquare(self, double df, size=None):
>469: def noncentral_chisquare(self, double df, double nonc, size=None):
>481: def standard_cauchy(self, size=None):
>488: def standard_t(self, double df, size=None):
>497: def vonmises(self, double mu, double kappa, size=None):
>507: def pareto(self, double a, size=None):
>516: def weibull(self, double a, size=None):
>525: def power(self, double a, size=None):
>534: def binomial(self, long n, double p, size=None):
>547: def negative_binomial(self, long n, double p, size=None):
>561: def poisson(self, double lam=1.0, size=None):
>570: def multinomial(self, long n, object pvals, size=None):
>620: def shuffle(self, object x):
>635: def permutation(self, object x):
>
>Okay, I guess I missed lognormal, but that's just a transformation of
>normal variates. Easy.
>
>
Ah, yes. Got it. Great job.
>I originally wrote this to replace the PRNG in the old scipy.stats, not
>RandomArray or RNG. Here are the incompatibilities:
>
>* The RNG interface isn't there at all
>* Some small name differences:
> - F, noncentral_F -> f, noncentral_f
> - the "shape" argument -> "size" (following the convention in the old
>scipy.stats distributions)
>* I haven't carried over mean_var_test() since it doesn't belong there
>as an exposed API
>* Some changes in the naming of arguments
>* seed(x, y) -> seed([x, y]) if you must
>* get_seed() has nothing to correspond to (except maybe get_state(), but
>you can't pass that to seed(); well you could, but it won't get you what
>you want)
>
>Does anyone use the RNG interface? It's terribly limited. I *am*
>concerned about carrying over interfaces that no one is going to use.
>The missing bits of RNG (ignoring the generator itself) could easily be
>replicated by a small Python file. We could keep that for a release or
>two, suitably marked as deprecated via warnings.warn(). Then we can
>remove it.
>
>
I don't know. I never did. I would like to just toss it. But, to be
fair, we ought to include a module, so that import RNG can be replaced
with import <scipy.stats.oldrng or something> that issues a warning on
import.
Can you take care of that?
Also, can we eliminate the c-extension modules in the random_lite
directory? No need to have them cluttering the distribution if we don't
use them....
-Travis
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