[Neuroimaging] [DIPY] Setting up a platform for offline end-to-end quality assurance for DIPY

[Chris Filo Gorgolewski]

Ah yes that makes sense. You can however split your tests (for example one
workflow per line) and easily run a battery of tests that takes more than
2h.
On Mar 3, 2016 11:16 AM, "vanessa sochat" <vsochat at stanford.edu> wrote:

> 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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