[Numpy-discussion] Cython-based OpenMP-accelerated quartic polynomial solver

[Slavin, Jonathan]

​Personally I like atleast_1d, which will convert a scalar into a 1d array
but will leave arrays untouched (i.e. won't change the dimensions.  Not
sure what the advantages/disadvantages are relative to asarray.

Jon​


On Fri, Oct 2, 2015 at 7:05 AM, <numpy-discussion-request at scipy.org> wrote:

> From: Juha Jeronen <juha.jeronen at jyu.fi>
> To: Discussion of Numerical Python <numpy-discussion at scipy.org>
> Cc:
> Date: Fri, 2 Oct 2015 13:31:47 +0300
> Subject: Re: [Numpy-discussion] Cython-based OpenMP-accelerated quartic
> polynomial solver
> On 02.10.2015 13:07, Daπid wrote:
>
>
> On 2 October 2015 at 11:58, Juha Jeronen <juha.jeronen at jyu.fi> wrote:
>
>>
>>>
>> First version done and uploaded:
>>
>>
>> https://yousource.it.jyu.fi/jjrandom2/miniprojects/trees/master/misc/polysolve_for_numpy
>>
>
> Small comment: now you are checking if the input is a scalar or a ndarray,
> but it should also accept any array-like. If I pass a list, I expect it to
> work, internally converting it into an array.
>
>
> Good catch.
>
> Is there an official way to test for array-likes? Or should I always
> convert with asarray()? Or something else?
>
>
>  -J
>




-- 
________________________________________________________
Jonathan D. Slavin                 Harvard-Smithsonian CfA
jslavin at cfa.harvard.edu       60 Garden Street, MS 83
phone: (617) 496-7981       Cambridge, MA 02138-1516
cell: (781) 363-0035             USA
________________________________________________________
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