[Pytables-users] Fwd: Runtime warning and import error after installation
Forwarding bounced message. ~Josh From: Arang Rhie arr...@gmail.com Date: August 20, 2012 3:59:06 AM GMT+01:00 To: pytables-users@lists.sourceforge.net Subject: Runtime warning and import error after installation Hi, I'm new to PyTable, and now getting really frustrating with the installation process. 1. What is the HDF5 runtime? I've installed HDF5 following the instruction given by HDF5. What file is PyTable looking for? And how can I set the path to it? I've installed HDF5 under /usr/local/hdf5 and set the environment variable $HDF5_DIR on /usr/local/hdf5. But still setup.py is not recognizing it without the --hdf5=/usr/local/hdf5 option. Moreover, I don't understand the 'shared library' of HDF5. does that mean to install hdf5-1.8.9-linux-x86_64-shared.tar.gz from HDF5? I've untar the ~shared.tar.gz under /usr/local/hdf5-shared and set the $LD_LIBRARY_PATH as /usr/local/hdf5-shared. What else do I need to do in addition? 2. I've configured LZO with --enable-shared option, and followed the instruction (make, make check, make test, make install). I've completed without any error, and the shared libraries where set under /usr/local/lib. Do I need to explicitly set other variables for running setup.py? [root@gmi-student tables-2.4.0]# python setup.py install --hdf5=/usr/local/hdf5 * Found numpy 1.6.2 package installed. * Found numexpr 2.0.1 package installed. * Found Cython 0.16 package installed. * Found HDF5 headers at ``/usr/local/hdf5/include``, library at ``/usr/local/hdf5/lib``. .. WARNING:: Could not find the HDF5 runtime. The HDF5 shared library was *not* found in the default library paths. In case of runtime problems, please remember to install it. * Found LZO 2 headers at ``/usr/local/include``, library at ``/usr/local/lib``. .. WARNING:: Could not find the LZO 2 runtime. The LZO 2 shared library was *not* found in the default library paths. In case of runtime problems, please remember to install it. * Skipping detection of LZO 1 since LZO 2 has already been found. * Found bzip2 headers at ``/usr/include``, library at ``/usr/lib64``. running install running build running build_py running build_ext running build_scripts running install_lib running install_scripts changing mode of /usr/bin/ptdump to 755 changing mode of /usr/bin/ptrepack to 755 changing mode of /usr/bin/nctoh5 to 755 running install_egg_info Removing /usr/lib64/python2.7/site-packages/tables-2.4.0-py2.7.egg-info Writing /usr/lib64/python2.7/site-packages/tables-2.4.0-py2.7.egg-info [root@gmi-student tables-2.4.0]# python Python 2.7 (r27:82500, Sep 16 2010, 18:02:00) [GCC 4.5.1 20100907 (Red Hat 4.5.1-3)] on linux2 Type help, copyright, credits or license for more information. import tables Traceback (most recent call last): File stdin, line 1, in module File tables/__init__.py, line 30, in module from tables.utilsExtension import getPyTablesVersion, getHDF5Version ImportError: libhdf5.so.7: cannot open shared object file: No such file or directory Serena Rhie -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] How would I update specific rows from a table with rows of a second table?
Forwarding, ~Josh On Apr 30, 2012, at 5:04 PM, pytables-users-boun...@lists.sourceforge.net wrote: From: Christian Werner freizeitbeauftrag...@googlemail.com Date: April 30, 2012 5:03:59 PM GMT+02:00 To: pytables-users@lists.sourceforge.net Subject: How would I update specific rows from a table with rows of a second table? Hi group. Please consider this scenario. I have produced a large h5 file holding the outcome of some simulations (hdf file holds some groups and about 5 tables, but for my question this does not matter). How I had to rerun my simulation but only for certain fields and thus I have a second h5 file with the same structure but only for certain fields of the original file (old age classes, see below). Or to be more verbose: Table (original) idyearspecies age data1 data2 data3 ... 1 1990spruce 75 1.2 3.2 3.3 ... 1 1991spruce 75 1.3 3.1 2.2 ... ... 1 1990spruce 125 1.1 2.1 1.5 ... ... 1 1990pine145 1.1 2.1 1.5 ... ... 2 1990spruce 45 1.2 3.2 3.3 ... 2 1991spruce 55 1.3 3.1 2.2 ... ... I had to rerun my simulations for old vegetation classes. So this table only contains the following lines (e.g., spruce age 80) Table (new) idyearspecies age data1 data2 data3 ... ... 1 1990spruce 125 1.1 2.1 1.5 ... ... 1 1990pine145 1.1 2.1 1.5 ... So basically I need to use the rows of the new table and overwrite the corresponding rows of the old table to form the updated one. I do need to retain the original order (sort order id year species age). Those columns combined give a unique row identifier... The final table would have the same size and order as the original table with only the rows containing data for old age classes updated with the new simulation results... Can anyone give me a hint how to achieve this? I guess I need to introduce a new (unique index) column first in both tables (e.g., combining id + year + species + age so I can match those rows by this identifier), right? Does anyone have some example code for me? Problem is, the 2 h5 files are about 7GB each. Cheers, Christian -- Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] Choice of table structure
Forwarding to the list. ~Josh. Begin forwarded message: From: pytables-users-boun...@lists.sourceforge.net Date: December 13, 2011 7:50:22 AM GMT+01:00 To: pytables-users-ow...@lists.sourceforge.net Subject: Auto-discard notification The attached message has been automatically discarded. From: Davide Cittaro daweonl...@gmail.com Date: December 13, 2011 7:50:03 AM GMT+01:00 To: pytables-users@lists.sourceforge.net pytables-users@lists.sourceforge.net Subject: Choice of table structure Hi all, I need to store millions of entries made by a n-long string, a n array of integers and an ID for every string/array couple. Are there best practices to structure a proper pytable for this? Also, does the structure influence compression efficiency? d -- Composed on a phone, sorry for the misprints -- Systems Optimization Self Assessment Improve efficiency and utilization of IT resources. Drive out cost and improve service delivery. Take 5 minutes to use this Systems Optimization Self Assessment. http://www.accelacomm.com/jaw/sdnl/114/51450054/___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] Ubuntu 11.10: blosc is not supported?
Forwarding to the list. ~JoshBegin forwarded message:From: pytables-users-boun...@lists.sourceforge.netDate: December 6, 2011 2:20:35 PM GMT+01:00To: pytables-users-ow...@lists.sourceforge.netSubject: Auto-discard notificationThe attached message has been automatically discarded.From: Martin Felder martin.fel...@zsw-bw.deDate: December 6, 2011 2:05:15 PM GMT+01:00To: pytables-users@lists.sourceforge.netSubject: Ubuntu 11.10: blosc is not supported?Hi,I installed pytables via the Ubuntu package manager (currently version 2.1.2-3.1build1), and we use it a lot for production work. Thanks for this great package!So far I haven't tried enabling compression, but since it says in the documentation BLOSC comes with it, I created a filter with complib="blosc", only to get:ValueError: compression library ``blosc`` is not supported; it must be one of: zlib, lzo, bzip2Do I have to compile a newer version from source to enable BLOSC?Thanks,Martinattachment: martin.felder.vcf-- Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] Some experiences with PyTables
Forwarding to the list. ~Josh.
Begin forwarded message:
From: pytables-users-boun...@lists.sourceforge.net
Date: December 6, 2011 9:27:27 PM GMT+01:00
To: pytables-users-ow...@lists.sourceforge.net
Subject: Auto-discard notification
The attached message has been automatically discarded.
From: Edward C. Jones edcjo...@comcast.net
Date: December 6, 2011 9:25:08 PM GMT+01:00
To: pytables-users@lists.sourceforge.net
Subject: Some experiences with PyTables
My computer has an up-to-date Debian stable distribution installed. I have
the following Debian packages (plus most dev packages):
python 2.6.6-3+squeeze6
python-numpy 1:1.4.1-5
hdf5-tools 1.8.4-patch1-2
libhdf5-serial-1.8.4 1.8.4-patch1-2
I have compiled and installed PyTables 2.3.1.
1. There seems to be an unpythonic design choice with the start, stop, step
convention for PyTables. Anything that is unnatural to a Python
programmer should be heavily documented.
2. There may be a bug in itersorted.
Here is code for (1) and (2):
#! /usr/bin/env python
import random, tables
h5file = tables.openFile('mytable.h5', mode='w')
class silly_class(tables.IsDescription):
num = tables.Int32Col(pos=0)
mytable = h5file.createTable(h5file.root, 'mytable', silly_class,
'a few ints', expectedrows=4)
row = mytable.row
for i in range(10):
row['num'] = random.randint(0, 99)
row.append()
mytable.flush()
mytable.cols.num.createCSIndex()
# Python's idiom for start, stop, step:
print 'Python:', range(9, -1, -1)
output = mytable.readSorted('num', start=0, stop=10, step=-1)
print 'readSorted:', 0, 10, -1, output
# copy supports a negative step. It seems that start and stop are applied
# _after_ the sort is done. Very unlike Python. Please document thoroughly.
print h5file.root.mytable[:]
h5file.root.mytable.copy(h5file.root, 'mytable2', sortby='num',
start=0, stop=5, step=-1)
print h5file.root.mytable2[:]
# The following raises an OverflowError. The documentation (2.3.1) says
# negative steps are supported for itersorted. Documentation error or bug
# in itersorted?
output = [x['num'] for x in mytable.itersorted('num',
start=0, stop=10, step=-1)]
print 'itersorted:', 0, 10, -1, output
3. Null bytes are stripped from the end of strings when they are stored in a
table. Since a Python does not expect this, it needs to be explicitly
documented in all the relevant places. Here is some code:
#! /usr/bin/env python
import tables
def hash2hex(stringin):
out = list()
for c in stringin:
s = hex(ord(c))[2:]
if len(s) == 1:
s = '0' + s
out.append(s)
return ''.join(out)
h5file = tables.openFile('mytable.h5', mode='w')
class silly_class(tables.IsDescription):
astring = tables.StringCol(16, pos=0)
mytable = h5file.createTable(h5file.root, 'mytable', silly_class,
'a few strings', expectedrows=4)
# Problem when string ends with null bytes:
nasty = 'abdcef' + '\x00\x00'
print repr(nasty)
print hash2hex(nasty)
row = mytable.row
row['astring'] = nasty
row.append()
mytable.flush()
print repr(mytable[0][0])
print hash2hex(mytable[0][0])
h5file.close()
4. Has the 64K limit for attributes been lifted?
5. The reference manual for numpy contains _many_ small examples. They
partially compensate for any lack of precision or excessive precision in
the documents. Also many people learn best from examples.
6. Suppose that the records (key, data1) and (key, data2) are two rows in a
table with (key, data1) being a earlier row than (key, data2). Both
records have the same value in the first column. If a CSIndex is created
using the first column, will (key, data1) still be before (key, data2) in
the index? This property is called stability. Some sorting algorithms
guarantee this and others don't. Are the sorts in PyTables stable?
7. The table.append in PyTables behaves like extend in Python. Why?
8. I get a mysterious PerformanceWarning from the PyTables file table.py,
line 2742. This message needs to be split into two messages. In my case,
after I appended to a table, 'row' in self.__dict__ was True and
self.row._getUnsavedNrows() was 1. To resolve the problem, I added a
line that flushes the table after every append. Does
h5file.mytable.flush() do something that h5file.flush() doesn't? Do I
need to flush every table after every append or are there only certain
situations when this is needed? What does preempted from alive nodes
mean?
9. Does the following code contain a bug in PyTables?
#! /usr/bin/env python
import sys
import numpy, tables
# No failure if projections and winsize are small enough. In the original
# program, gauss.shape is (2000, 196, 196).
projections = 105
winsize = 2500
h5 = tables.openFile('mess.h5', mode='w')
shape = (projections, winsize)
[Pytables-users] Giant HDF5/PyTables error message
Forwarding to list. ~Josh. Begin forwarded message: From: pytables-users-boun...@lists.sourceforge.net Date: December 3, 2011 12:52:46 AM GMT+01:00 To: pytables-users-ow...@lists.sourceforge.net Subject: Auto-discard notification The attached message has been automatically discarded. From: Edward C. Jones edcjo...@comcast.net Date: December 3, 2011 12:50:13 AM GMT+01:00 To: pytables-users@lists.sourceforge.net Subject: Giant HDF5/PyTables error message The following gigantic (but hard to interpret) error message was generated by the line of code: self.h5.root.sortlist.cols.score.createCSIndex() Is there a document on how to interpret HDF5 error messages in a PyTables context? What kind of errors in my code create these error messages? Which styles of PyTables programming tends to lead to HDF5 errors? If I cannot figure out a way to analyze these messages, I will have to remove much of the PyTables from my code. (I wrapped long lines) HDF5-DIAG: Error detected in HDF5 (1.8.4-patch1) thread 4148012736: #000: ../../../src/H5Dio.c line 174 in H5Dread(): can't read data major: Dataset minor: Read failed #001: ../../../src/H5Dio.c line 404 in H5D_read(): can't read data major: Dataset minor: Read failed #002: ../../../src/H5Dchunk.c line 1733 in H5D_chunk_read(): unable to read raw data chunk major: Low-level I/O minor: Read failed #003: ../../../src/H5Dchunk.c line 2742 in H5D_chunk_lock(): data pipeline read failed major: Data filters minor: Filter operation failed #004: ../../../src/H5Z.c line 1017 in H5Z_pipeline(): filter returned failure during read major: Data filters minor: Read failed #005: blosc/blosc_filter.c line 232 in blosc_filter(): Blosc decompression error major: Data filters minor: Callback failed Traceback (most recent call last): File ./mrq.py, line 133, in module options.scoretask) File /home/edcjones/imagedb/imgSeek/mrquery/DB.py, line 56, in __init__ self.New(basename, topdirs, scoretask, excluded_dirs) File /home/edcjones/imagedb/imgSeek/mrquery/DB.py, line 180, in New hashbin.HashBin(self) File /home/edcjones/imagedb/imgSeek/mrquery/hashbin.py, line 74, in __init__ self.mrq.reversesort_sortlist(self.quota) File /home/edcjones/imagedb/imgSeek/mrquery/DB.py, line 951, in reversesort_sortlist self.h5.root.sortlist.cols.score.createCSIndex() File /usr/local/lib/python2.6/dist-packages/tables/table.py, line 3437, in createCSIndex _blocksizes=_blocksizes, _testmode=_testmode, _verbose=_verbose) File /usr/local/lib/python2.6/dist-packages/tables/table.py, line 3412, in createIndex tmp_dir, _blocksizes, _verbose) File /usr/local/lib/python2.6/dist-packages/tables/table.py, line 360, in _column__createIndex self.pathname, 0, table.nrows, lastrow=True, update=False ) File /usr/local/lib/python2.6/dist-packages/tables/table.py, line 2405, in _addRowsToIndex [self._read(startLR, self.nrows, 1, colname)], File /usr/local/lib/python2.6/dist-packages/tables/table.py, line 1759, in _read self.row._fillCol(result, start, stop, step, field) File tableExtension.pyx, line 1134, in tables.tableExtension.Row._fillCol (tables/tableExtension.c:10214) File tableExtension.pyx, line 548, in tables.tableExtension.Table._read_records (tables/tableExtension.c:5400) tables.exceptions.HDF5ExtError: Problems reading records. Closing remaining open files: /extra/thumbs/BrianYoung_data/temp.h5... done /extra/thumbs/BrianYoung_data/pytables-HsQPfE.tmp... done /extra/thumbs/BrianYoung_data/mrq.h5... HDF5-DIAG: Error detected in HDF5 (1.8.4-patch1) thread 4148012736: #000: ../../../src/H5Dio.c line 174 in H5Dread(): can't read data major: Dataset minor: Read failed #001: ../../../src/H5Dio.c line 404 in H5D_read(): can't read data major: Dataset minor: Read failed #002: ../../../src/H5Dchunk.c line 1733 in H5D_chunk_read(): unable to read raw data chunk major: Low-level I/O minor: Read failed #003: ../../../src/H5Dchunk.c line 2742 in H5D_chunk_lock(): data pipeline read failed major: Data filters minor: Filter operation failed #004: ../../../src/H5Z.c line 1017 in H5Z_pipeline(): filter returned failure during read major: Data filters minor: Read failed #005: blosc/blosc_filter.c line 232 in blosc_filter(): Blosc decompression error major: Data filters minor: Callback failed Error in atexit._run_exitfuncs: Traceback (most recent call last): File /usr/lib/python2.6/atexit.py, line 24, in _run_exitfuncs func(*targs, **kargs) File /usr/local/lib/python2.6/dist-packages/tables/file.py, line 2337, in close_open_files fileh.close() File
[Pytables-users] Fwd: Changes in container attributes not preserved in the h5 file
Forwarding to the list. ~Josh
Begin forwarded message:
From: pytables-users-boun...@lists.sourceforge.net
Date: November 4, 2011 1:16:34 AM GMT+01:00
To: pytables-users-ow...@lists.sourceforge.net
Subject: Auto-discard notification
The attached message has been automatically discarded.
From: Edward C. Jones edcjo...@comcast.net
Date: November 4, 2011 1:14:17 AM GMT+01:00
To: pytables-users@lists.sourceforge.net
Subject: Changes in container attributes not preserved in the h5 file
My computer has an up-to-date Debian stable distribution installed. It comes
with Python 2.6.6.
I have compiled and installed PyTables 2.3.
Here are two small programs:
Program 1:
#! /usr/bin/env python
import tables
h5file = tables.openFile(table1.h5, mode = w)
class silly_class(tables.IsDescription):
char = tables.StringCol(1, pos=1)
mytable = h5file.createTable(h5file.root, 'silly', silly_class, silly)
mytable.attrs.myint = 5
mytable.attrs.mylist = [0, 1]
mytable.attrs.mydict = {1 : 'a', 2 : 'b'}
mytable.attrs.myint += 2
mytable.attrs.mylist.append(2)
mytable.attrs.mydict[3] = 'c'
print mytable.attrs.myint, mytable.attrs.mylist, mytable.attrs.mydict
h5file.close()
Program 2:
#! /usr/bin/env python
import tables
h5file = tables.openFile(table1.h5, mode = r+)
print h5file.root.silly.attrs.myint, h5file.root.silly.attrs.mylist, \
h5file.root.silly.attrs.mydict
h5file.close()
I run program 1 and the printout is: 7 [0, 1, 2] {1: 'a', 2: 'b', 3: 'c'}.
Then I run program 2 where the printout is: 7 [0, 1] {1: 'a', 2: 'b'}.
When an attribute is a Python container, and I make changes inside the
container, these changes
are not present when table1.h5 is reopened. What am I doing wrong?
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[Pytables-users] Efficient way to do nested grouping of rows ?!?
Forwarding to list. Your email address doesn't appear to be registered. See http://sourceforge.net/mail/?group_id=63486 for more information. Begin forwarded message: From: pytables-users-boun...@lists.sourceforge.net Date: September 13, 2011 7:51:22 AM GMT+02:00 To: pytables-users-ow...@lists.sourceforge.net Subject: Auto-discard notification The attached message has been automatically discarded. From: Christian Werner werner_christ...@gmx.net Date: September 13, 2011 7:51:13 AM GMT+02:00 To: pytables-users@lists.sourceforge.net Subject: Efficient way to do nested grouping of rows ?!? Hi list. I was pulling my hair out all day trying to implement the following but cannot seem to see the light. Not sure if the subject line was all that descriptive but here it goes: Say I have a massive table (10 mio lines) stored in a hdf file. The simplyfied table structure looks something like this: id yearareareplvar1var2var3 1 199012.31 1.4 1.341.23 1 199112.31 0.9 0.3 1.3 1 199212.31 1.3 1.1 1.7 1 199012.32 1.5 1.4 1.3 1 199112.32 1.1 0.5 1.53 1 199212.32 1.6 1.3 1.8 1 199012.33 1.8 1.741.3 1 199112.33 1.4 0.5 1.43 1 199212.33 1.7 1.3 1.8 2 19904.5 1 3.3 3.6 2.3 2 19914.5 1 5.6 6.7 1.2 2 19924.5 1 6.5 4.5 3.3 2 19904.5 2 3.3 3.6 2.3 2 19914.5 2 5.6 6.7 1.2 2 19924.5 2 6.5 4.5 3.3 2 19904.5 3 3.3 3.6 2.3 2 19914.5 3 5.6 6.7 1.2 2 19924.5 3 6.5 4.5 3.3 3 199012.91 1.3 1.1 0.4 3 199112.91 3.2 3.4 5.6 3 199212.91 3.5 3.4 3.5 ... The pytables table is sorted by field id. Currently I use the following code: import itertools import numpy as np var = 'var1' def id_selector(row): return row['id'] icnt = 0 for i, rows_grouped_by_id in itertools.groupby(table, id_selector): x = np.average( [ [r[var] * r['area'] for r in rows_grouped_by_id] ) print i, x This works fine and dandy (and fast). However, how do I efficiently do another nested grouping? Say, I might want to average all replicates (col repl) of a given year (col year) within each and every id. I'm stumped. How would you do that? I feel I should use row-indices, no? I cannot use the .where() construct of table to limit rows on a bunch of rows, can I? Thanks for any pointers. C -- BlackBerryreg; DevCon Americas, Oct. 18-20, San Francisco, CA Learn about the latest advances in developing for the BlackBerryreg; mobile platform with sessions, labs more. See new tools and technologies. Register for BlackBerryreg; DevCon today! http://p.sf.net/sfu/rim-devcon-copy1 ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] Windows installation problems
Begin forwarded message: From: pytables-users-boun...@lists.sourceforge.net Date: July 26, 2011 3:18:45 PM GMT+02:00 To: pytables-users-ow...@lists.sourceforge.net Subject: Auto-discard notification The attached message has been automatically discarded. From: José María García Pérez josemaria.alk...@gmail.com Date: July 26, 2011 3:18:38 PM GMT+02:00 To: pytables-users@lists.sourceforge.net Subject: Windows installation problems Dear all, I have been using PyTables from time to time from long ago. I am trying to use it again, but this time I am not managing to make it work in Windows (I am using it in Linux). I used the binary installation: tables-2.2.1.win32-py2.7.exe I am using a laptop, 32bits with Windows XP, no admin rights and python 2.7. The installation finished without any complain. But then I get the following: Python 2.7.2 (default, Jun 12 2011, 15:08:59) [MSC v.1500 32 bit (Intel)] on win32 Type help, copyright, credits or license for more information. import tables Traceback (most recent call last): File stdin, line 1, in module File c:\Home\C08937\Python27\Lib\site-packages\tables\__init__.py, line 63, in module from tables.utilsExtension import getPyTablesVersion, getHDF5Version ImportError: DLL load failed: No se pudo iniciar la aplicaci≤n porque su configu raci≤n es incorrecta. Reinstalar la aplicaci≤n puede solucionar el problema. I have investigated as much as a I could. I tried Dependency Walker and Resource Hacker, but I get nowhere. I believe I have the required DLLs in the system and accesible in the path. When I open hd5dll.dll with Dependency Walker it complains about: Error: The Side-by-Side configuration information for \python27\lib\site-packages\tables\HDF5DLL.DLL contains errors. No se pudo iniciar la aplicacin porque su configuracin es incorrecta. Reinstalar la aplicacin puede solucionar el problema (14001). Error: The Side-by-Side configuration information for \python27\lib\site-packages\tables\SZIP.DLL contains errors. No se pudo iniciar la aplicacin porque su configuracin es incorrecta. Reinstalar la aplicacin puede solucionar el problema (14001). Any clue? Could anybody state a systematic approach to get it working? Cheers, José M. -- Magic Quadrant for Content-Aware Data Loss Prevention Research study explores the data loss prevention market. Includes in-depth analysis on the changes within the DLP market, and the criteria used to evaluate the strengths and weaknesses of these DLP solutions. http://www.accelacomm.com/jaw/sfnl/114/51385063/___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] PyPy and Python3
Begin forwarded message: From: pytables-users-boun...@lists.sourceforge.net Date: July 26, 2011 3:31:00 PM GMT+02:00 To: pytables-users-ow...@lists.sourceforge.net Subject: Auto-discard notification The attached message has been automatically discarded. From: José María García Pérez josemaria.alk...@gmail.com Date: July 26, 2011 3:30:53 PM GMT+02:00 To: pytables-users@lists.sourceforge.net Subject: PyPy and Python3 Dear all, I am pleased to see that the new pytables will be based in the pro version: https://github.com/PyTables/PyTables Given the focus on performance, is there any plan to support http://www.pypy.org? I assume it won't happen any time soon given the dependency on numpy, and numpy itself being not supported yet (despite the promissing results: http://morepypy.blogspot.com/2011/05/numpy-in-pypy-status-and-roadmap.html). What is the situation with python 3? Cheers, José M. -- Magic Quadrant for Content-Aware Data Loss Prevention Research study explores the data loss prevention market. Includes in-depth analysis on the changes within the DLP market, and the criteria used to evaluate the strengths and weaknesses of these DLP solutions. http://www.accelacomm.com/jaw/sfnl/114/51385063/___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
