[yt-dev] Importing yt versus importing yt.mods

[Matthew Turk]

YTEP-0019 has landed in the experimental bookmark!

https://bitbucket.org/yt_analysis/yt/pull-request/729/ytep-0019/diff

-Matt

On Tue, Mar 18, 2014 at 9:30 AM, Matthew Turk <matthewturk at gmail.com> wrote:
> On Tue, Mar 18, 2014 at 12:29 PM, Stuart Mumford <stuart at mumford.me.uk> wrote:
>> What are the key things that `yt.mods` will do that `yt` will not under this
>> model? As a new user I did find the yt.mods thing a little strange. :p
>
> Yeah, it was designed to avoid lots of sub-imports and to keep it
> possible to import individual bits by themselves.  (i.e., importing
> without getting matplotlib, which will no longer be possible.)  "mods"
> will treat yt more like an application, which means things like
> startup_tasks will be run and it will look at command line arguments.
>
> -Matt
>
>>
>> Stuart
>>
>>
>> On 18 March 2014 14:20, Matthew Turk <matthewturk at gmail.com> wrote:
>>>
>>> Hi all,
>>>
>>> Some of this was hashed out before on the YTEP-0019 discussion, but I
>>> am going through and re-implementing some of that now and I wanted to
>>> bring it back to the group.
>>>
>>> What we had come up with was:
>>>
>>>  * import yt => gets most of the items used in yt in the main namespace
>>>  * import yt.mods => treats yt more like an application, gets
>>> everything but *also* does "startup tasks"
>>>
>>> Now, the big benefit to making it like this is that you can do:
>>>
>>> import yt
>>>
>>> and get everything.  The *downside* is that we will no longer be able to
>>> do:
>>>
>>> import yt.something.something_else
>>>
>>> and *avoid* importing all of yt.  I've experimented with the import
>>> times and came up with this.  All times were computed by running 10
>>> cycles, dividing total time by 10.
>>>
>>>  * 2.6 (current @ bookmark) => 0.45s per import
>>>  * 3.0, "development" => 0.47s per import
>>>  * My YTEP-0019 bookmark => 0.97s per import
>>>  * Import numpy and matplotlib => 0.22s per import
>>>  * Importing numpy, matplotlib, *and* sympy => 0.78s per import
>>>
>>> So I think we're doing okay on import times, although I must confess
>>> when I initial ran it and saw how slow importing the unitrefactor
>>> branch was I was a bit worried.  But most of that is sucked up into
>>> numpy, matplotlib and sympy.  I guess it's not so bad.
>>>
>>> Here's my PR:
>>>
>>> https://bitbucket.org/yt_analysis/yt/pull-request/729/ytep-0019/diff
>>>
>>> (bookmark: ytep0019, which I will delete later.)
>>>
>>> -Matt
>>> _______________________________________________
>>> yt-dev mailing list
>>> yt-dev at lists.spacepope.org
>>> http://lists.spacepope.org/listinfo.cgi/yt-dev-spacepope.org
>>
>>
>>
>> _______________________________________________
>> yt-dev mailing list
>> yt-dev at lists.spacepope.org
>> http://lists.spacepope.org/listinfo.cgi/yt-dev-spacepope.org
>>