From: Antonio V. <ant...@ti...> - 2012-07-07 18:47:41
|
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 =========================== Announcing PyTables 2.4.0b1 =========================== We are happy to announce PyTables 2.4.0b1. This is an incremental release which includes many changes to prepare for future Python 3 support. What's new ========== This release includes support for the float16 data type and read-only support for variable length string attributes. The handling of HDF5 errors has been improved. The user will no longer see HDF5 error stacks dumped to the console. All HDF5 error messages are trapped and attached to a proper Python exception. Now PyTables only supports HDF5 v1.8.4+. All the code has been updated to the new HDF5 API. Supporting only HDF5 1.8 series is beneficial for future development. As always, a large amount of bugs have been addressed and squashed as well. In case you want to know more in detail what has changed in this version, please refer to: http://pytables.github.com/release_notes.html You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://sourceforge.net/projects/pytables/files/pytables/2.4.0b1 For an online version of the manual, visit: http://pytables.github.com/usersguide/index.html What it is? =========== PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second. Resources ========= About PyTables: http://www.pytables.org About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments =============== Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy (and numarray!) makers. Without them, PyTables simply would not exist. Share your experience ===================== Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. - ---- **Enjoy data!** - -- The PyTables Team -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org/ iEYEARECAAYFAk/4hDwACgkQ1JUs2CS3bP7TUwCfcobS3KI7L/6k3Bbbt2VBOz5B TqAAn0DhrSdtd7XTPOj0RR/mpr2FtseE =T5iQ -----END PGP SIGNATURE----- |
From: Anthony S. <sc...@gm...> - 2012-07-07 18:50:08
|
Great Success! Please hammer on this everybody. On Sat, Jul 7, 2012 at 1:47 PM, Antonio Valentino < ant...@ti...> wrote: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > =========================== > Announcing PyTables 2.4.0b1 > =========================== > > We are happy to announce PyTables 2.4.0b1. > > This is an incremental release which includes many changes to prepare > for future Python 3 support. > > > What's new > ========== > > This release includes support for the float16 data type and read-only > support for variable length string attributes. > > The handling of HDF5 errors has been improved. The user will no > longer see HDF5 error stacks dumped to the console. All HDF5 error > messages are trapped and attached to a proper Python exception. > > Now PyTables only supports HDF5 v1.8.4+. All the code has been updated > to the new HDF5 API. Supporting only HDF5 1.8 series is beneficial > for future development. > > As always, a large amount of bugs have been addressed and squashed as > well. > > In case you want to know more in detail what has changed in this > version, please refer to: > http://pytables.github.com/release_notes.html > > You can download a source package with generated PDF and HTML docs, as > well as binaries for Windows, from: > http://sourceforge.net/projects/pytables/files/pytables/2.4.0b1 > > For an online version of the manual, visit: > http://pytables.github.com/usersguide/index.html > > > What it is? > =========== > > PyTables is a library for managing hierarchical datasets and > designed to efficiently cope with extremely large amounts of data with > support for full 64-bit file addressing. PyTables runs on top of > the HDF5 library and NumPy package for achieving maximum throughput and > convenient use. PyTables includes OPSI, a new indexing technology, > allowing to perform data lookups in tables exceeding 10 gigarows > (10**10 rows) in less than a tenth of a second. > > > Resources > ========= > > About PyTables: http://www.pytables.org > > About the HDF5 library: http://hdfgroup.org/HDF5/ > > About NumPy: http://numpy.scipy.org/ > > > Acknowledgments > =============== > > Thanks to many users who provided feature improvements, patches, bug > reports, support and suggestions. See the ``THANKS`` file in the > distribution package for a (incomplete) list of contributors. Most > specially, a lot of kudos go to the HDF5 and NumPy (and numarray!) > makers. Without them, PyTables simply would not exist. > > > Share your experience > ===================== > > Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. > > > - ---- > > **Enjoy data!** > > > - -- > The PyTables Team > -----BEGIN PGP SIGNATURE----- > Version: GnuPG v1.4.11 (GNU/Linux) > Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org/ > > iEYEARECAAYFAk/4hDwACgkQ1JUs2CS3bP7TUwCfcobS3KI7L/6k3Bbbt2VBOz5B > TqAAn0DhrSdtd7XTPOj0RR/mpr2FtseE > =T5iQ > -----END PGP SIGNATURE----- > > > ------------------------------------------------------------------------------ > 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 > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-users > |
From: Christoph G. <cg...@uc...> - 2012-07-07 19:18:12
Attachments:
tables_test.txt
|
Looks good. Only one test failure on win-amd64-py2.7 (attached). Christoph On 7/7/2012 11:47 AM, Antonio Valentino wrote: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > =========================== > Announcing PyTables 2.4.0b1 > =========================== > > We are happy to announce PyTables 2.4.0b1. > > This is an incremental release which includes many changes to prepare > for future Python 3 support. > > > What's new > ========== > > This release includes support for the float16 data type and read-only > support for variable length string attributes. > > The handling of HDF5 errors has been improved. The user will no > longer see HDF5 error stacks dumped to the console. All HDF5 error > messages are trapped and attached to a proper Python exception. > > Now PyTables only supports HDF5 v1.8.4+. All the code has been updated > to the new HDF5 API. Supporting only HDF5 1.8 series is beneficial > for future development. > > As always, a large amount of bugs have been addressed and squashed as > well. > > In case you want to know more in detail what has changed in this > version, please refer to: > http://pytables.github.com/release_notes.html > > You can download a source package with generated PDF and HTML docs, as > well as binaries for Windows, from: > http://sourceforge.net/projects/pytables/files/pytables/2.4.0b1 > > For an online version of the manual, visit: > http://pytables.github.com/usersguide/index.html > > > What it is? > =========== > > PyTables is a library for managing hierarchical datasets and > designed to efficiently cope with extremely large amounts of data with > support for full 64-bit file addressing. PyTables runs on top of > the HDF5 library and NumPy package for achieving maximum throughput and > convenient use. PyTables includes OPSI, a new indexing technology, > allowing to perform data lookups in tables exceeding 10 gigarows > (10**10 rows) in less than a tenth of a second. > > > Resources > ========= > > About PyTables: http://www.pytables.org > > About the HDF5 library: http://hdfgroup.org/HDF5/ > > About NumPy: http://numpy.scipy.org/ > > > Acknowledgments > =============== > > Thanks to many users who provided feature improvements, patches, bug > reports, support and suggestions. See the ``THANKS`` file in the > distribution package for a (incomplete) list of contributors. Most > specially, a lot of kudos go to the HDF5 and NumPy (and numarray!) > makers. Without them, PyTables simply would not exist. > > > Share your experience > ===================== > > Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. > > |
From: Antonio V. <ant...@ti...> - 2012-07-08 10:55:58
Attachments:
test_HDF5ErrorHandling_test_enable_messages.py
|
Hi Christoph, thank you for reporting. Can you please tell us which is the output of the attached script on your machine? thanks in advance Il 07/07/2012 21:18, Christoph Gohlke ha scritto: > Looks good. Only one test failure on win-amd64-py2.7 (attached). > > Christoph > > On 7/7/2012 11:47 AM, Antonio Valentino wrote: >> -----BEGIN PGP SIGNED MESSAGE----- >> Hash: SHA1 >> >> =========================== >> Announcing PyTables 2.4.0b1 >> =========================== >> [CUT] -- Antonio Valentino |
From: Christoph G. <cg...@uc...> - 2012-07-08 16:21:34
|
Hi Antonio, here's the stderr output: HDF5-DIAG: Error detected in HDF5 (1.8.8) thread 0: #000: ..\..\hdf5-1.8.8\src\H5F.c line 1522 in H5Fopen(): unable to open file major: File accessability minor: Unable to open file #001: ..\..\hdf5-1.8.8\src\H5F.c line 1313 in H5F_open(): unable to read superblock major: File accessability minor: Read failed #002: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 334 in H5F_super_read(): unable to find file signature major: File accessability minor: Not an HDF5 file #003: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 155 in H5F_locate_signature(): unable to find a valid file signature major: Low-level I/O minor: Unable to initialize object Christoph On 7/8/2012 3:55 AM, Antonio Valentino wrote: > Hi Christoph, > thank you for reporting. > > Can you please tell us which is the output of the attached script on > your machine? > > thanks in advance > > > > Il 07/07/2012 21:18, Christoph Gohlke ha scritto: >> Looks good. Only one test failure on win-amd64-py2.7 (attached). >> >> Christoph >> >> On 7/7/2012 11:47 AM, Antonio Valentino wrote: >>> -----BEGIN PGP SIGNED MESSAGE----- >>> Hash: SHA1 >>> >>> =========================== >>> Announcing PyTables 2.4.0b1 >>> =========================== >>> > [CUT] > > |
From: Antonio V. <ant...@ti...> - 2012-07-08 17:07:10
|
Hi Christoph, Il 08/07/2012 18:21, Christoph Gohlke ha scritto: > Hi Antonio, > > here's the stderr output: > > HDF5-DIAG: Error detected in HDF5 (1.8.8) thread 0: > #000: ..\..\hdf5-1.8.8\src\H5F.c line 1522 in H5Fopen(): unable to > open file > major: File accessability > minor: Unable to open file > #001: ..\..\hdf5-1.8.8\src\H5F.c line 1313 in H5F_open(): unable to > read superblock > major: File accessability > minor: Read failed > #002: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 334 in H5F_super_read(): > unable to find file signature > major: File accessability > minor: Not an HDF5 file > #003: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 155 in > H5F_locate_signature(): unable to find a valid file signature > major: Low-level I/O > minor: Unable to initialize object > > > Christoph > thank you. This is strange, "HDF5-DIAG" actually is in the output so you should not have the reported error: ====================================================================== FAIL: test_enable_messages (tables.tests.test_basics.HDF5ErrorHandling) ---------------------------------------------------------------------- Traceback (most recent call last): File "X:\Python27-x64\lib\site-packages\tables\tests\common.py", line 259, in newmethod return oldmethod(self, *args, **kwargs) File "X:\Python27-x64\lib\site-packages\tables\tests\test_basics.py", line 2445, in test_enable_messages self.assertTrue("HDF5-DIAG" in stderr) AssertionError: False is not true Looking at the doc is seems that there is no particular issue at subprocess level. Umm, can you please check if the message actually comes form the stderr and not form the stdout? thanks > > On 7/8/2012 3:55 AM, Antonio Valentino wrote: >> Hi Christoph, >> thank you for reporting. >> >> Can you please tell us which is the output of the attached script on >> your machine? >> >> thanks in advance >> >> >> >> Il 07/07/2012 21:18, Christoph Gohlke ha scritto: >>> Looks good. Only one test failure on win-amd64-py2.7 (attached). >>> >>> Christoph >>> >>> On 7/7/2012 11:47 AM, Antonio Valentino wrote: >>>> -----BEGIN PGP SIGNED MESSAGE----- >>>> Hash: SHA1 >>>> >>>> =========================== >>>> Announcing PyTables 2.4.0b1 >>>> =========================== >>>> >> [CUT] >> >> > -- Antonio Valentino |
From: Christoph G. <cg...@uc...> - 2012-07-08 17:42:00
|
I submitted a PR at <https://github.com/PyTables/PyTables/pull/161> Christoph On 7/8/2012 10:06 AM, Antonio Valentino wrote: > Hi Christoph, > > Il 08/07/2012 18:21, Christoph Gohlke ha scritto: >> Hi Antonio, >> >> here's the stderr output: >> >> HDF5-DIAG: Error detected in HDF5 (1.8.8) thread 0: >> #000: ..\..\hdf5-1.8.8\src\H5F.c line 1522 in H5Fopen(): unable to >> open file >> major: File accessability >> minor: Unable to open file >> #001: ..\..\hdf5-1.8.8\src\H5F.c line 1313 in H5F_open(): unable to >> read superblock >> major: File accessability >> minor: Read failed >> #002: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 334 in H5F_super_read(): >> unable to find file signature >> major: File accessability >> minor: Not an HDF5 file >> #003: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 155 in >> H5F_locate_signature(): unable to find a valid file signature >> major: Low-level I/O >> minor: Unable to initialize object >> >> >> Christoph >> > > thank you. > This is strange, "HDF5-DIAG" actually is in the output so you should not > have the reported error: > > ====================================================================== > FAIL: test_enable_messages (tables.tests.test_basics.HDF5ErrorHandling) > ---------------------------------------------------------------------- > Traceback (most recent call last): > File "X:\Python27-x64\lib\site-packages\tables\tests\common.py", line > 259, in newmethod > return oldmethod(self, *args, **kwargs) > File "X:\Python27-x64\lib\site-packages\tables\tests\test_basics.py", > line 2445, in test_enable_messages > self.assertTrue("HDF5-DIAG" in stderr) > AssertionError: False is not true > > > Looking at the doc is seems that there is no particular issue at > subprocess level. > > Umm, can you please check if the message actually comes form the stderr > and not form the stdout? > > thanks > >> >> On 7/8/2012 3:55 AM, Antonio Valentino wrote: >>> Hi Christoph, >>> thank you for reporting. >>> >>> Can you please tell us which is the output of the attached script on >>> your machine? >>> >>> thanks in advance >>> >>> >>> >>> Il 07/07/2012 21:18, Christoph Gohlke ha scritto: >>>> Looks good. Only one test failure on win-amd64-py2.7 (attached). >>>> >>>> Christoph >>>> >>>> On 7/7/2012 11:47 AM, Antonio Valentino wrote: >>>>> -----BEGIN PGP SIGNED MESSAGE----- >>>>> Hash: SHA1 >>>>> >>>>> =========================== >>>>> Announcing PyTables 2.4.0b1 >>>>> =========================== >>>>> >>> [CUT] >>> >>> >> > > |
From: Antonio V. <ant...@ti...> - 2012-07-08 17:47:01
|
Thank you very much Christoph. Il 08/07/2012 19:41, Christoph Gohlke ha scritto: > I submitted a PR at <https://github.com/PyTables/PyTables/pull/161> > > Christoph > > > On 7/8/2012 10:06 AM, Antonio Valentino wrote: >> Hi Christoph, >> >> Il 08/07/2012 18:21, Christoph Gohlke ha scritto: >>> Hi Antonio, >>> >>> here's the stderr output: >>> >>> HDF5-DIAG: Error detected in HDF5 (1.8.8) thread 0: >>> #000: ..\..\hdf5-1.8.8\src\H5F.c line 1522 in H5Fopen(): unable to >>> open file >>> major: File accessability >>> minor: Unable to open file >>> #001: ..\..\hdf5-1.8.8\src\H5F.c line 1313 in H5F_open(): unable to >>> read superblock >>> major: File accessability >>> minor: Read failed >>> #002: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 334 in H5F_super_read(): >>> unable to find file signature >>> major: File accessability >>> minor: Not an HDF5 file >>> #003: ..\..\hdf5-1.8.8\src\H5Fsuper.c line 155 in >>> H5F_locate_signature(): unable to find a valid file signature >>> major: Low-level I/O >>> minor: Unable to initialize object >>> >>> >>> Christoph >>> >> >> thank you. >> This is strange, "HDF5-DIAG" actually is in the output so you should not >> have the reported error: >> >> ====================================================================== >> FAIL: test_enable_messages (tables.tests.test_basics.HDF5ErrorHandling) >> ---------------------------------------------------------------------- >> Traceback (most recent call last): >> File "X:\Python27-x64\lib\site-packages\tables\tests\common.py", line >> 259, in newmethod >> return oldmethod(self, *args, **kwargs) >> File "X:\Python27-x64\lib\site-packages\tables\tests\test_basics.py", >> line 2445, in test_enable_messages >> self.assertTrue("HDF5-DIAG" in stderr) >> AssertionError: False is not true >> >> >> Looking at the doc is seems that there is no particular issue at >> subprocess level. >> >> Umm, can you please check if the message actually comes form the stderr >> and not form the stdout? >> >> thanks >> >>> >>> On 7/8/2012 3:55 AM, Antonio Valentino wrote: >>>> Hi Christoph, >>>> thank you for reporting. >>>> >>>> Can you please tell us which is the output of the attached script on >>>> your machine? >>>> >>>> thanks in advance >>>> >>>> >>>> >>>> Il 07/07/2012 21:18, Christoph Gohlke ha scritto: >>>>> Looks good. Only one test failure on win-amd64-py2.7 (attached). >>>>> >>>>> Christoph >>>>> >>>>> On 7/7/2012 11:47 AM, Antonio Valentino wrote: >>>>>> -----BEGIN PGP SIGNED MESSAGE----- >>>>>> Hash: SHA1 >>>>>> >>>>>> =========================== >>>>>> Announcing PyTables 2.4.0b1 >>>>>> =========================== >>>>>> >>>> [CUT] -- Antonio Valentino |
From: Francesc A. <fa...@gm...> - 2012-07-11 09:34:00
|
Hey Antonio, this looks great. BTW, which is the status of the 3.x support? I vaguely remember you asking me for some help on this, but I don't remember well. Not that I have a lot of time to spend on it, but perhaps I can use some hours in the next days. Thanks, Francesc On 7/7/12 8:47 PM, Antonio Valentino wrote: > -----BEGIN PGP SIGNED MESSAGE----- > Hash: SHA1 > > =========================== > Announcing PyTables 2.4.0b1 > =========================== > > We are happy to announce PyTables 2.4.0b1. > > This is an incremental release which includes many changes to prepare > for future Python 3 support. > > > What's new > ========== > > This release includes support for the float16 data type and read-only > support for variable length string attributes. > > The handling of HDF5 errors has been improved. The user will no > longer see HDF5 error stacks dumped to the console. All HDF5 error > messages are trapped and attached to a proper Python exception. > > Now PyTables only supports HDF5 v1.8.4+. All the code has been updated > to the new HDF5 API. Supporting only HDF5 1.8 series is beneficial > for future development. > > As always, a large amount of bugs have been addressed and squashed as > well. > > In case you want to know more in detail what has changed in this > version, please refer to: > http://pytables.github.com/release_notes.html > > You can download a source package with generated PDF and HTML docs, as > well as binaries for Windows, from: > http://sourceforge.net/projects/pytables/files/pytables/2.4.0b1 > > For an online version of the manual, visit: > http://pytables.github.com/usersguide/index.html > > > What it is? > =========== > > PyTables is a library for managing hierarchical datasets and > designed to efficiently cope with extremely large amounts of data with > support for full 64-bit file addressing. PyTables runs on top of > the HDF5 library and NumPy package for achieving maximum throughput and > convenient use. PyTables includes OPSI, a new indexing technology, > allowing to perform data lookups in tables exceeding 10 gigarows > (10**10 rows) in less than a tenth of a second. > > > Resources > ========= > > About PyTables: http://www.pytables.org > > About the HDF5 library: http://hdfgroup.org/HDF5/ > > About NumPy: http://numpy.scipy.org/ > > > Acknowledgments > =============== > > Thanks to many users who provided feature improvements, patches, bug > reports, support and suggestions. See the ``THANKS`` file in the > distribution package for a (incomplete) list of contributors. Most > specially, a lot of kudos go to the HDF5 and NumPy (and numarray!) > makers. Without them, PyTables simply would not exist. > > > Share your experience > ===================== > > Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. > > > - ---- > > **Enjoy data!** > > > - -- > The PyTables Team > -----BEGIN PGP SIGNATURE----- > Version: GnuPG v1.4.11 (GNU/Linux) > Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org/ > > iEYEARECAAYFAk/4hDwACgkQ1JUs2CS3bP7TUwCfcobS3KI7L/6k3Bbbt2VBOz5B > TqAAn0DhrSdtd7XTPOj0RR/mpr2FtseE > =T5iQ > -----END PGP SIGNATURE----- > > ------------------------------------------------------------------------------ > 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-announce mailing list > Pyt...@li... > https://lists.sourceforge.net/lists/listinfo/pytables-announce -- Francesc Alted |
From: Antonio V. <ant...@ti...> - 2012-07-11 17:06:36
|
-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi Francesc, Il 11/07/2012 11:33, Francesc Alted ha scritto: > Hey Antonio, this looks great. > Thanks :) > BTW, which is the status of the 3.x support? I vaguely remember > you asking me for some help on this, but I don't remember well. Not > that I have a lot of time to spend on it, but perhaps I can use > some hours in the next days. well, in PyTables 2.4 we made some job in preparation of the porting to python3, but the porting itself is still not started. One of the main issues is that numexpr still not supports python3 so we have a missing dependency. I started a porting of numexpr to python3 (see [1]) but it is still incomplete. I hope it is good enough to let us start working on the porting of PyTables. Of course if you would like to give a look to numexpr for python3 it would be of great help. After the PyTables 2.4 final I plan to publish a wiki page with my roadmap proposal. IMHO main points are: * open a new branch in the repo * remove al deprecated code (Numeric, numarray, netcdf3, etc). This breaks the API and, IMHO, we will also need to bump the format version * ensure that all the required SW work (enough) on python3 * handle str/unicode issues * full support to unicode HDF5 object names * start working an a good setup for 2to3 (needs some investigation) * ... Please let me know if you think there are other point that are important for python3 support [1] https://groups.google.com/forum/?fromgroups#!topic/numexpr/M2MVjXsBR0c cheers > > Thanks, > > Francesc > > On 7/7/12 8:47 PM, Antonio Valentino wrote: > =========================== Announcing PyTables 2.4.0b1 > =========================== > > We are happy to announce PyTables 2.4.0b1. > [CUT] - -- Antonio Valentino -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.11 (GNU/Linux) Comment: Using GnuPG with Mozilla - http://enigmail.mozdev.org/ iEYEARECAAYFAk/9soUACgkQ1JUs2CS3bP4u1ACeJKnMQRFF1hATXFMG3lPH2xyU 9DwAoJNPp6L8gHf+s5hA2Jhj4JLyl3jr =AYqd -----END PGP SIGNATURE----- |
From: Francesc A. <fa...@py...> - 2012-07-12 08:36:37
|
On 7/11/12 7:06 PM, Antonio Valentino wrote: > >> BTW, which is the status of the 3.x support? I vaguely remember >> you asking me for some help on this, but I don't remember well. Not >> that I have a lot of time to spend on it, but perhaps I can use >> some hours in the next days. > well, in PyTables 2.4 we made some job in preparation of the porting > to python3, but the porting itself is still not started. > > One of the main issues is that numexpr still not supports python3 so > we have a missing dependency. > > I started a porting of numexpr to python3 (see [1]) but it is still > incomplete. > I hope it is good enough to let us start working on the porting of > PyTables. > > Of course if you would like to give a look to numexpr for python3 it > would be of great help. Ah yes. I have also tried with the porting of numexpr to python3, but failed. I'll try to have a look at your patches and see if we can make it. Not sure when I'll have time to tackle this, but hopefully I'll be able to tell you something soon. > > After the PyTables 2.4 final I plan to publish a wiki page with my > roadmap proposal. IMHO main points are: > > * open a new branch in the repo > * remove al deprecated code (Numeric, numarray, netcdf3, etc). This > breaks the API and, IMHO, we will also need to bump the format version > * ensure that all the required SW work (enough) on python3 > * handle str/unicode issues > * full support to unicode HDF5 object names > * start working an a good setup for 2to3 (needs some investigation) > * ... > > Please let me know if you think there are other point that are > important for python3 support Ok. That looks good. This is a lot of work though, but I hope you will manage. Thanks for the fine work! -- Francesc Alted |