On Fri, Mar 15, 2013 at 5:26 PM, Thadeus Burgess <thade...@thadeusb.com>wrote:
> Looks similar to https://github.com/PyTables/PyTables/issues/206
Yes this is the same problem. I proposed a test on the issue if someone
wants to try working on it, that would be great!
>
> --
> Thadeus
>
>
>
> On Fri, Mar 15, 2013 at 6:58 PM, Dmitry Fedorov <fedo...@ece.ucsb.edu>wrote:
>
>> Hi,
>>
>> I'm trying to index a simple uint32 column and search if a value is
>> there. Although during the in-kernel query i get an error like this:
>>
>> Traceback (most recent call last):
>> File "G:\_2\PytablesTestCode\pytableindex.py", line 9, in <module>
>> r = [ row.nrow for row in it ]
>> File "tableExtension.pyx", line 858, in
>> tables.tableExtension.Row.__next__ (tables\tableExtension.c:7788)
>> File "tableExtension.pyx", line 879, in
>> tables.tableExtension.Row.__next__indexed
>> (tables\tableExtension.c:7922)
>> AssertionError
>>
>> The second time I perform the same query I get no errors but also I
>> got no results...
>>
>> I get this on python 2.7, pytables 2.4.0 and 2.3.1 under windows 64 (7
>> and 8). I'm using pytables distro from
>> <http://www.lfd.uci.edu/~gohlke/pythonlibs/#pytables>
>>
>> I'm sure I've had code like this running just fine on older pytables
>> 2.2.X (with pro) and older python...
>>
>> <<<<<<<<<<<<<<<<<<<<<<<<<<<<
>> Here's table creation code:
>>
>> import tables
>> import numpy as np
>> import random
>>
>> #initalizes column types
>> class Columns(tables.IsDescription):
>> imageid = tables.UInt32Col(pos=1)
>> feature = tables.Float64Col(pos=2, shape=(30,))
>>
>> #creates Table
>> h5file=tables.openFile('features.h5','a', title='features')
>> table = h5file.createTable('/', 'values', Columns,
>> expectedrows=1000000000)
>> table.flush()
>>
>> Columns = table.row
>>
>> #appends values to table
>> for i in xrange(100):
>> Columns['imageid'] = i
>> Columns['feature'] = [np.random.random_sample((30,))]
>> Columns.append()
>>
>> table.flush()
>>
>> table.cols.imageid.createCSIndex()
>> h5file.close()
>>
>> <<<<<<<<<<<<<<<<<<<<<<<<<<<<
>> Here's table query code:
>>
>> import time
>> import tables
>>
>> #opens tables
>> h5file=tables.openFile('features.h5','a')
>> table=h5file.root.values
>>
>> it = table.where('imageid == 8')
>> r = [ row.nrow for row in it ]
>>
>> print r
>>
>> -----
>> Thank you,
>> Dmitry
>>
>>
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>
>
>
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