I tried:

out_ar[:] = ((in_ar[0] + 29) > 0)

to try to remove the suspected truncation - bring -29 up to 0 before it's 
truncated - but then elevation 227 is false and everything else is true (<=226, 
>=228)

> On Apr 27, 2018, at 12:42 PM, William Kyngesburye <[email protected]> 
> wrote:
> 
> OK, it worked as vrt of a vrt.  Memory not an issue.
> 
> But I have a new problem.  One vrt I want to instead do > -29 (caspian sea, 
> -29 in SRTM data).  The whole region evaluates to 1 (true).  It looks like 
> the in_ar[] is getting truncated to an unsigned byte, 0-255, from its orignal 
> Int16.  Testing some values, anything up to 254 gives me 0/1 areas matching 
> the elevation values in the original DEM, but >255 returns 0 for the whole 
> area (that is, everything >255 was truncated to 255, so nothing is >255).  
> Thus, > -29 is true for the whole area.
> 
> I tried using the python cmp() function, in case the () test was casting each 
> value to Byte, but it complained that it's ambiguous for an array.  The error 
> suggested to use a.any() or a.all(), but I don't know how to do that one.
> 
> Here is the script again:
> 
> import numpy
> def land(in_ar, out_ar, xoff, yoff, xsize, ysize, raster_xsize, raster_ysize, 
> buf_radius, gt, **kwargs):
>       out_ar[:] = (in_ar[0] > -29)
> 
>> On Apr 26, 2018, at 1:07 PM, William Kyngesburye <[email protected]> 
>> wrote:
>> 
>> So, if the gdal library queries for a region of the vrt (ie processing it in 
>> chunks), the numpy array will be just that region?  I'll give it a try.
>> 
>> What about something like viewing the whole vrt in QGIS - will it be read in 
>> chunks as well?  IOW, is it the GDAL library that breaks it into chunks at 
>> reading, or is it the responsibility of programs (gdal_translate, QGIS,...) 
>> to ask for chunks?
>> 
>>> On Apr 26, 2018, at 12:59 PM, Even Rouault <[email protected]> 
>>> wrote:
>>> 
>>> On jeudi 26 avril 2018 12:56:10 CEST William Kyngesburye wrote:
>>> > So, a vrt of a vrt?
>>>  
>>> Yes
>>>  
>>> > 
>>> > I wanted to avoid that, because as I understand the source, it reads each
>>> > raster in the derived band as a single numpy array, which would be all the
>>> > tiled rasters together.  
>>>  
>>> No, if you use gdal_translate, it will process the source by reasonable 
>>> chunks, so you should be able to process arbitrarily large sources.
>>>  
>>> Even
>>>  
>>> -- 
>>> Spatialys - Geospatial professional services
>>> http://www.spatialys.com
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>> 
>> -----
>> William Kyngesburye <kyngchaos*at*kyngchaos*dot*com>
>> http://www.kyngchaos.com/
>> 
>> "We can die but once, and that once we must die.  To be always fearing, 
>> then, would not avert it, and would make life miserable."
>> 
>> - Tarzan, on death
>> 
>> _______________________________________________
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> 
> -----
> William Kyngesburye <kyngchaos*at*kyngchaos*dot*com>
> http://www.kyngchaos.com/
> 
> First Pogril: Why is life like sticking your head in a bucket filled with 
> hyena offal?
> Second Pogril: I don't know.  Why IS life like sticking your head in a bucket 
> filled with hyena offal?
> First Pogril: I don't know either.  Wretched, isn't it?
> 
> -HitchHiker's Guide to the Galaxy
> 
> 
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-----
William Kyngesburye <kyngchaos*at*kyngchaos*dot*com>
http://www.kyngchaos.com/

[Trillian]  What are you supposed to do WITH a maniacally depressed robot?

[Marvin]  You think you have problems?  What are you supposed to do if you ARE 
a maniacally depressed robot?  No, don't try and answer, I'm 50,000 times more 
intelligent than you and even I don't know the answer...

- HitchHiker's Guide to the Galaxy


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