Oh, and Sage with Python 3 is in pretty good shape these days. Still some 
doctest failures, but I think it is mostly very functional.

  John


On Thursday, June 6, 2019 at 3:20:25 PM UTC-7, John H Palmieri wrote:
>
> I can confirm that it works for me on OS X with Python 3, gives the error 
> you described with Python 2.
>
>
> On Thursday, June 6, 2019 at 2:57:08 PM UTC-7, Emmanuel Charpentier wrote:
>>
>> According to Serge Lelièvre, the proble doesn't occur when ran under a 
>> Python3-based Sage. He advises to run such a Sage, hich seems a bit early, 
>> IMHO?
>>
>> Advice ?
>>
>>
>> Le jeudi 6 juin 2019 11:04:27 UTC+2, Emmanuel Charpentier a écrit :
>>>
>>> This ask.sagemath  question 
>>> <https://ask.sagemath.org/question/46819/numerical-integration-and-plot-failing/>
>>>  seems 
>>> to raise a genuine bug. Perusing Trac doesn't raise muc relevant, possibly 
>>> except for Trac#24428 <https://trac.sagemath.org/ticket/24428> and 
>>> Trac#21754 <https://trac.sagemath.org/ticket/21754>.
>>>
>>> From my comment to the ask.sagemath question :
>>>
>>> Indeed :
>>>     sage: var("y,z")
>>>     (y, z)
>>>     sage: cauchy(z)=solve(z*y^3 +y^2 - 2*z*y+2 ,y)[0].rhs()
>>>     sage: def foo(u):return(arg(cauchy(u)).n())
>>>     sage: [foo(t) for t in (1,1.1..2)]
>>>     [0.828222717321238,
>>>     ## Snip...
>>>      0.377665318352514]
>>> Therefore, this function *can* be evaluated. But :
>>>     sage: plot(foo,(1,2))
>>>     verbose 0 (3635: plot.py, generate_plot_points) WARNING: When 
>>> plotting, failed to evaluate function at 200 points.
>>>     verbose 0 (3635: plot.py, generate_plot_points) Last error message: 
>>> 'negative number cannot be raised to a fractional power'
>>>     Launched png viewer for Graphics object consisting of 0 graphics 
>>> primitives
>>> ... not in `plot`. Trying  to plot symbolically yelds :
>>>     TypeError: Cannot evaluate symbolic expression to a numeric value.
>>> A bug, IMHO.
>>>
>>> Can someone confirm this and, possibly, give me hints as how to flag 
>>> this ticket efficiently ?
>>>
>>

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