On Thu, Jul 9, 2009 at 12:02 PM, William Stein<wst...@gmail.com> wrote:
> On Thu, Jul 9, 2009 at 11:31 AM, Mikie<thephantom6...@hotmail.com> wrote:
>>
>> Robert, how do I update my sage installation when you create a
>> patch. Do I have to reinstall Sage?
>> Thanx
>
> I just did
>
> sage:
> hg_sage.apply('http://trac.sagemath.org/sage_trac/attachment/ticket/5081/5081-numpy-types.patch')
>
> sage: quit
>
> sage -br
>
> ...
>
> sage: import numpy
> sage: numpy.array([1,2,3]).dtype
> dtype('int64')
>
> w00t!
>
> William
>
And the patch works, in that not only does numpy now work, but the
original problem that started this thread is resolved:
sage: scipy.stats.binom.pmf(1,10,.56,0)
0.0034614823012532187
However, this works
sage: scipy.stats.binom.pmf(1,10,.560000000000000000000,0)
0.0034614823012532187
but this doesn't:
sage: scipy.stats.binom.pmf(1,10,.56000000000000000000000000000000000000,0)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/Users/wstein/.sage/temp/teragon_2.local/93783/_Users_wstein__sage_init_sage_0.py
in <module>()
/Users/wstein/build/64bit/sage-4.1/local/lib/python2.6/site-packages/scipy/stats/distributions.py
in pmf(self, k, *args, **kwds)
3883 output = zeros(shape(cond),'d')
3884 place(output,(1-cond0)*(cond1==cond1),self.badvalue)
-> 3885 goodargs = argsreduce(cond, *((k,)+args))
3886 place(output,cond,self._pmf(*goodargs))
3887 if output.ndim == 0:
/Users/wstein/build/64bit/sage-4.1/local/lib/python2.6/site-packages/scipy/stats/distributions.py
in argsreduce(cond, *args)
246 # make sure newarr is not a scalar
247 newarr = atleast_1d(args[k])
--> 248 newargs[k] = extract(cond,newarr*expand_arr)
249 return newargs
250
TypeError: unsupported operand type(s) for *: 'numpy.ndarray' and 'numpy.bool_'
-- William
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