- Add upstream patch fix-test-max-threads-unset.patch
- Remove upstreamed patch numexpr-pr485-allow-numpy1.patch
- Update to 2.10.1:
- The default number of 'safe' threads has been upgraded to 16
(instead of previous 8). That means that if your CPU has > 16
cores, the default is to use 16. You can always override this with
the "NUMEXPR_MAX_THREADS" environment variable.
- NumPy 1.23 is now the minimum supported.
- Preliminary support for Python 3.13. Thanks to Karolina Surma.
- Fix tests on nthreads detection (closes: #479). Thanks to
@avalentino.
- The build process has been modernized and now uses the
pyproject.toml file for more of the configuration options.
OBS-URL: https://build.opensuse.org/request/show/1223649
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=26
- Remove upstreamed patch numexpr-pr485-allow-numpy1.patch
- Update to 2.10.1:
- The default number of 'safe' threads has been upgraded to 16
(instead of previous 8). That means that if your CPU has > 16
cores, the default is to use 16. You can always override this with
the "NUMEXPR_MAX_THREADS" environment variable.
- NumPy 1.23 is now the minimum supported.
- Preliminary support for Python 3.13. Thanks to Karolina Surma.
- Fix tests on nthreads detection (closes: #479). Thanks to
@avalentino.
- The build process has been modernized and now uses the
pyproject.toml file for more of the configuration options.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numexpr?expand=0&rev=41
- update to 2.8.7:
* More permissive rules in sanitizing regular expression: allow to
access digits after the . with scientific notation.
* Don't reject double underscores that are not at the start or end of
a variable name (pandas uses those), or scientific-notation numbers
with digits after the decimal point.
* Do not use numpy.alltrue in the test suite, as it has been
deprecated (replaced by numpy.all).
* Python 3.12 support
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
- skip python3.6 build (no numpy)
- python3 package added
* Fixed several issues with different platforms not supporting
* Now, when trying to use pure Python boolean operators, 'and',
'or' and 'not, an error is issued and suggesting that '&', '|'
- fix requiements for SLE 11
OBS-URL: https://build.opensuse.org/request/show/1129235
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=21
* More permissive rules in sanitizing regular expression: allow to
access digits after the . with scientific notation.
* Don't reject double underscores that are not at the start or end of
a variable name (pandas uses those), or scientific-notation numbers
with digits after the decimal point.
* Do not use numpy.alltrue in the test suite, as it has been
deprecated (replaced by numpy.all).
* Python 3.12 support
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
- skip python3.6 build (no numpy)
- python3 package added
* Fixed several issues with different platforms not supporting
* Now, when trying to use pure Python boolean operators, 'and',
'or' and 'not, an error is issued and suggesting that '&', '|'
- fix requiements for SLE 11
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numexpr?expand=0&rev=29
- update to 2.8.4:
* Support for Python 3.11 has been added.
* Thanks to Tobias Hangleiter for an improved accuracy complex `expm1` function.
While it is 25 % slower, it is significantly more accurate for the real component
over a range of values and matches NumPy outputs much more closely.
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
resulting in duplicated constants of the same value.
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
checks. `packaging` is no longer a requirement as a result.
OBS-URL: https://build.opensuse.org/request/show/1046267
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=18
* Support for Python 3.11 has been added.
* Thanks to Tobias Hangleiter for an improved accuracy complex `expm1` function.
While it is 25 % slower, it is significantly more accurate for the real component
over a range of values and matches NumPy outputs much more closely.
* Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
resulting in duplicated constants of the same value.
* Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
checks. `packaging` is no longer a requirement as a result.
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numexpr?expand=0&rev=23
- update to version 2.6.8:
* Add check to make sure that f_locals is not actually f_globals
when we do the f_locals clear to avoid the #310 memory leak issue.
* Compare NumPy versions using distutils.version.LooseVersion to
avoid issue #312 when working with NumPy development versions.
* As part of multibuild, wheels for Python 3.7 for Linux and MacOSX
are now available on PyPI.
- changes from version 2.6.7:
* Thanks to Lehman Garrison for finding and fixing a bug that
exhibited memory leak-like behavior. The use in numexpr.evaluate
of sys._getframe combined with .f_locals from that frame object
results an extra refcount on objects in the frame that calls
numexpr.evaluate, and not evaluate's frame. So if the calling
frame remains in scope for a long time (such as a procedural
script where numexpr is called from the base frame) garbage
collection would never occur.
* Imports for the numexpr.test submodule were made lazy in the
numexpr module.
OBS-URL: https://build.opensuse.org/request/show/632816
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=9
I intend to submit python-pandas to openSUSE:Factory. python-pandas is a tool that makes it easy to do complex data import, export, and manipulation. It has become one of the critical tools for data analysis in python, like python-numpy, python-scipy, python-matplotlib, and IPython (all of which are in openSUSE:Factory).
This is a dependency of python-pandas.
This package is also useful on its own for greatly increasing the speed of python-numpy operations. (I know I said the same thing about python-Bottleneck, both accelerate different types of numpy operations in different ways, that is why they are both used here).
OBS-URL: https://build.opensuse.org/request/show/241241
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numexpr?expand=0&rev=1
