[Neuroimaging] [DIPY] Setting up a platform for offline end-to-end quality assurance for DIPY
vanessa sochat
vsochat at stanford.edu
Thu Mar 3 14:15:20 EST 2016
The upper limit for each test is 2 hours (120 minutes).
On Thu, Mar 3, 2016 at 11:02 AM, Chris Filo Gorgolewski <
krzysztof.gorgolewski at gmail.com> wrote:
> Yes, longer jobs (AFAIK there is no limit as long as the job is printing
> something every 10 minutes) and more RAM (4GB) are the main advantages.
> On Mar 3, 2016 10:46 AM, "Yaroslav Halchenko" <lists at onerussian.com>
> wrote:
>
>>
>> On Thu, 03 Mar 2016, Chris Filo Gorgolewski wrote:
>>
>> > Have a look at waht we are doing for Nipype on CircleCI (on the free
>> open
>> > source tier):
>>
>> > https://github.com/nipy/nipype/blob/master/circle.yml
>> > https://circleci.com/gh/nipy/nipype
>>
>> > All of the workflows we run for tests take over 3h to finish. Similar
>> set
>> > up is implemented in nilearn project.
>>
>> sorry for ignorance -- haven't used circleci yet. So is that the
>> crucial advantage of circle ci (over travis) that it allows for
>> longer jobs and more caching space or what?
>>
>> --
>> Yaroslav O. Halchenko
>> Center for Open Neuroscience http://centerforopenneuroscience.org
>> Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
>> Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419
>> WWW: http://www.linkedin.com/in/yarik
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>
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--
Vanessa Villamia Sochat
Stanford University
(603) 321-0676
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