f any bugs, suggestions, gripes, kudos, etc. you may
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Francesc Elies added the comment:
I am closing this one, bad-free is in this case a false positive.
Starting python and loading a dll which was linked with asan is incorrect.
One should asan-rt as earyly as possible, in order to do that in linux one
should use LD_PRELOAD but in windows it's
Francesc Elies added the comment:
I tested the same script in ubuntu and got the following.
==1361==ASan runtime does not come first in initial library list; you should
either link runtime to your application or manually preload it with LD_PRELOAD.
While on windows he does not complain
New submission from Francesc Elies :
Hi,
Context
===
we are compiling a dll with clang and it's address sanitizer and loading it via
cffi, at random spots ASAN complains with bad-free.
==15100==ERROR: AddressSanitizer: attempting free on address which was
not malloc()-ed
=
Announcing python-blosc 1.9.2
=
What is new?
This is a maintenance release to better support recent versions of Python
(3.8 and 3.9). Also, and due to the evolution of modern CPUs,
the number of default threads has been
=
Announcing python-blosc 1.9.0
=
What is new?
In this release we got rid of the support for Python 2.7 and 3.5.
Also, we fixed the copy of the leftovers of a chunk when its size is not a
multiple of the typesize. Although
colz
License is the new BSD:
https://github.com/Blosc/bcolz/blob/master/LICENSES/BCOLZ.txt
Release notes can be found in the Git repository:
https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst
----
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==
The sources and documentation are managed through github services at:
http://github.com/Blosc/python-blosc
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github.com/pydata/numexpr
You can get the packages from PyPI as well (but not for RC releases):
http://pypi.python.org/pypi/numexpr
Share your experience
=
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the MIT license.
See:
https://github.com/Blosc/python-blosc/blob/master/LICENSES
for more details.
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can be found in the Git repository:
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es):
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Support the Python Software
, the tutorials
haven been migrated to the IPython notebook format (a huge thank you to
Francesc Elies for this!). This will hopefully will allow users to
better exercise the different features of bcolz.
For a more detailed change log, see:
https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst
What
s optional), so it works well as an
easy-to-deploy, easy-to-use, computational engine for projects that
don't want to adopt other solutions requiring more heavy dependencies.
What's new
==
This is a quick maintenance version that offers better handling of
MSVC symbols (#168, Francesc Alted
What's new
==
This is a maintenance release where an important bug in multithreading
code has been fixed (#185 Benedikt Reinartz, Francesc Alted). Also,
many harmless warnings (overflow/underflow, divide by zero and others)
in the test suite have been silenced (#183, Francesc Alted).
In case you wa
notes can be found in the Git repository:
https://github.com/Blosc/bcolz/blob/master/RELEASE_NOTES.rst
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://groups.google.es/group/blosc
Licenses
Both Blosc and its Python wrapper are distributed using the MIT license.
See:
https://github.com/Blosc/python-blosc/blob/master/LICENSES
for more details.
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not for RC releases):
http://pypi.python.org/pypi/numexpr
Share your experience
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Support the Pytho
...@googlegroups.com
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Licenses
Both Blosc and its Python wrapper are distributed using the MIT license.
See:
https://github.com/Blosc/python-blosc/blob/master/LICENSES
for more details.
**Enjoy data!**
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===
Announcing PyTables 3.2.0
===
We are happy to announce PyTables 3.2.0.
***
IMPORTANT NOTICE:
If you are a user of PyTables, it needs your help to keep going. Please
read the next thread as it contains important
://blosc.org/docs/bcolz-EuroPython-2014.pdf`_.
License
---
Please see BCOLZ.txt in LICENSES/ directory.
Share your experience
-
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
**Enjoy Data!**
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License is the new BSD:
https://github.com/Blosc/bcolz/blob/master/LICENSES/BCOLZ.txt
**Enjoy data!**
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Licenses
Both Blosc and its Python wrapper are distributed using the MIT license.
See:
https://github.com/Blosc/python-blosc/blob/master/LICENSES
for more details.
**Enjoy data!**
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Indeed it was 1.2.4 the version just released and not 1.2.7. Sorry for
the typo!
Francesc
On 7/7/14, 8:20 PM, Francesc Alted wrote:
=
Announcing python-blosc 1.2.4
=
What is new?
This is a maintenance release, where
know of any bugs, suggestions, gripes, kudos, etc. you may
have.
Enjoy data!
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-blosc/blob/master/LICENSES
for more details.
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Continuum Analytics, Inc.
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!
Francesc Alted
Continuum Analytics, Inc.
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is hosted at Google code in:
http://code.google.com/p/numexpr/
You can get the packages from PyPI as well:
http://pypi.python.org/pypi/numexpr
Share your experience
=
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
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for Blosc at:
bl...@googlegroups.com
http://groups.google.es/group/blosc
Licenses
Both Blosc and its Python wrapper are distributed using the MIT license.
See:
https://github.com/FrancescAlted/python-blosc/blob/master/LICENSES
for more details.
Enjoy!
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--
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://groups.google.es/group/blosc
Licenses
Both Blosc and its Python wrapper are distributed using the MIT license.
See:
https://github.com/FrancescAlted/python-blosc/blob/master/LICENSES
for more details.
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Support the Python Software Foundation:
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://carray.pytables.org/docs/manual
Home of Blosc compressor:
http://blosc.pytables.org
User's mail list:
car...@googlegroups.com
http://groups.google.com/group/carray
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Support the Python Software
to
Mark Wiebe for such an important contribution!
For some benchmarks on the new virtual machine, see:
http://code.google.com/p/numexpr/wiki/NewVM
Also, Gaëtan de Menten contributed important bug fixes, code cleanup
as well as speed enhancements. Francesc Alted contributed some fixes,
and added
Hello all, I'm new to this and I'm having problems on summing two
values at python.
I get the following error:
Traceback (most recent call last):
File C:\edge-bc (2).py, line 168, in module
if (costGG = cost + T0):
TypeError: unsupported operand type(s) for +: 'float' and 'tuple'
I'm
Hello all, I'm new to this and I'm having problems on summing two
values at python.
I get the following error:
Traceback (most recent call last):
File C:\edge-bc (2).py, line 168, in module
if (costGG = cost + T0):
TypeError: unsupported operand type(s) for +: 'float' and 'tuple'
I'm
On 10 jun, 13:38, Tim Chase python.l...@tim.thechases.com wrote:
On 06/10/2011 05:30 AM, Francesc Segura wrote:
Hello all, I'm new to this and I'm having problems on summing two
values at python.
I get the following error:
Traceback (most recent call last):
File C:\edge-bc (2).py
as well:
http://pypi.python.org/pypi/numexpr
Share your experience
=
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Support the Python Software
.
Enjoy!
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Support the Python Software Foundation:
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is distributed using the MIT license, see LICENSES/BLOSC.txt for
details.
Mailing list
There is an official mailing list for Blosc at:
bl...@googlegroups.com
http://groups.google.es/group/blosc
**Enjoy data!**
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, suggestions, gripes, kudos, etc. you may
have.
**Enjoy data!**
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Support the Python Software Foundation:
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There is an official mailing list for Blosc at:
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**Enjoy data!**
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Support the Python Software Foundation:
http
get the packages from PyPI as well:
http://pypi.python.org/pypi
Share your experience
=
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have.
Enjoy!
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Support
, suggestions, gripes, kudos, etc. you may
have.
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Support the Python Software Foundation:
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may
have.
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Hi,
I'd like to setup a package that is make of other sub-packages,
modules and other extensions. What I have is something like (this is
very simplified indeed):
foo/
__init__.py
setup.py
foo1/
__init__.py
foo1.c
[...]
foo2/
setup.py
/listinfo/python-es
¡Gracias!
Chema Cortes, Oswaldo Hernández y Francesc Alted
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, kudos, etc. you may
have.
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description by the original author (David M. Cooke).
Share your experience
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have.
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Support the Python Software
.
Enjoy!
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experience
=
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have.
**Enjoy data!**
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that you mentioned. I have corrected
the docs in:
http://www.pytables.org/trac/changeset/3714/trunk
Thanks for (indirectly ;-) bringing this to my attention,
Francesc
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a lot to the HDF5 and NumPy
(and numarray!) makers. Without them, PyTables simply would not exist.
Share your experience
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them, PyTables simply would not exist.
Share your experience
=
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A Tuesday 20 November 2007, Istvan Albert escrigué:
On Nov 19, 2:33 pm, Francesc Altet [EMAIL PROTECTED] wrote:
Just for the record. I was unable to stop thinking about this, and
after some investigation, I guess that my rememberings were
gathered from some benchmarks with code in Pyrex
A Wednesday 14 November 2007, Francesc Altet escrigué:
I think I've got messed on some benchmarks that I've done on that
subject some time ago, but either my memory is bad or I've made some
mistake on those experiments. My apologies.
Just for the record. I was unable to stop thinking about
A Tuesday 13 November 2007, Steven D'Aprano escrigué:
On Tue, 13 Nov 2007 17:27:11 +0100, Francesc Altet wrote:
I don't know exactly why do you need a dictionary for keeping the
data, but in case you want ultra-fast access to values, there is no
replacement for keeping a sorted list of keys
A Wednesday 14 November 2007, Istvan Albert escrigué:
On Nov 13, 11:27 am, Francesc Altet [EMAIL PROTECTED] wrote:
Another possibility is using an indexed column in a table in a DB.
Lookups there should be much faster than using a dictionary as
well.
I would agree with others who state
be much faster than using a dictionary as well.
HTH,
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ahead and choose a RDBMS
in combination with a hierarchical DB, and utilize the powerful
capabilities of Python to take the most out of them.
Cheers,
Francesc Altet
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Announcing PyTables and PyTables Pro 2.0.1
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
===
Announcing PyTables Pro 2.0
===
PyTables Pro 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 Pro runs on top of
the
!**
-- The PyTables Team
--
Francesc Altet| Be careful about using the following code --
Carabos Coop. V. | I've only proven that it works,
www.carabos.com | I haven't tested it. -- Donald Knuth
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your experience
=
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**Enjoy data!**
-- The PyTables Team
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0,0 Francesc Altet http://www.carabos.com/
V V Cárabos Coop. V. Enjoy Data
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your experience
=
Let us know of any bugs, suggestions, gripes, kudos, etc. you may
have.
**Enjoy data!**
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-
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===
Announcing PyTables 1.4
===
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. It is based on the HDF5 library for doing
===
Announcing PyTables 1.3.3
===
I'm happy to announce a new minor release of PyTables. In this one, we
have focused on improving compatibility with latest beta versions of
NumPy (0.9.8, 1.0b2, 1.0b3 and higher), adding some improvements and the
===
Announcing PyTables 1.3.1
===
This is a new minor release of PyTables. On it, you will find support
for NumPy integers as indexes of datasets and many bug fixes.
*Important note*: one of the fixes adresses a bug in the flushing of I/O
buffers
=
Announcing PyTables 1.3
=
This is a new major release of PyTables. The most remarkable feature
added in this version is a complete support (well, almost, because
unicode arrays are not there yet) for NumPy objects. Improved support
for native
=
Announcing PyTables 1.3
=
This is a new major release of PyTables. The most remarkable feature
added in this version is a complete support (well, almost, because
unicode arrays are not there yet) for NumPy objects. Improved support
for native
family!
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=
Announcing PyTables 1.2.1
=
I'm happy to announce a new version of PyTables. This is a maintenance
version and only bugs has been fixed in it. In particular, the
documentation has not change at all, so it is not necessary that you
look at it for
.
---
**Enjoy data!**
-- The PyTables Team
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=
Announcing PyTables 1.1
=
After quite a few testing iterations, the PyTables development team is
happy to announce the availability of PyTables 1.1.
On this version you will find support for a nice set of new features,
like nested datatypes,
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