[yt-dev] Proposal: deprecate lazy_reader

[david collins]

+0.98

For what it's worth-- in one script I have wherein I compute profiles
with a covering grid, I have lazy_reader = false.  I seem to recall
that it had something to do with covering grids on fields that contain
spatial derivatives, thus requiring ghost zones.  The line in question
looks like:

pc.add_profile_object(covering_grid,fields, lazy_reader=False)

d.

On Thu, Feb 23, 2012 at 9:48 AM, Britton Smith <brittonsmith at gmail.com> wrote:
> +!
>
>
> On Thu, Feb 23, 2012 at 11:46 AM, Cameron Hummels
> <chummels at astro.columbia.edu> wrote:
>>
>> +1
>>
>>
>> On 2/23/12 11:43 AM, Matthew Turk wrote:
>>>
>>> Hi all,
>>>
>>> Long ago, I added the "lazy_reader" option to profiles.  This then
>>> showed up also in DerivedQuantities.  In almost all cases used, this
>>> is set to True, and I believe that the only case when it cannot be is
>>> when calculating energy.  lazy_reader = True means data is read on
>>> demand, grid by grid (mediated by preloading for those formats where
>>> multiple grids might be in a single file) and False means that all of
>>> the data necessary for the reduction is loaded immediately into
>>> memory.
>>>
>>> I'd like to propose we deprecate it as an option, and force all
>>> profiles to be "lazy".  I would be implementing this in the geometry
>>> handling branch.  In the geometry handling branch, I have implemented
>>> a chunking scheme which is more flexible; in this way subsets of data
>>> objects can be loaded.  By moving to this scheme, the chunks can
>>> either be the *entire* data object (i.e., the non-lazy method from
>>> before) or subsets divided in several different ways.  For example,
>>> you could do grid-by-grid, you could do gridfile-by-gridfile, or
>>> whatever type of scheme you like.  I believe that getting rid of lazy
>>> and moving to just always operating on chunks is the best way to
>>> accomplish this.
>>>
>>> [+-][01] on removing lazy_reader as optional?
>>>
>>> -Matt
>>> _______________________________________________
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>>>
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