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| Name: python313-blosc2 | Distribution: openSUSE:Factory:RISCV |
| Version: 2.7.1 | Vendor: openSUSE |
| Release: 1.3 | Build date: Thu Oct 10 17:33:08 2024 |
| Group: Unspecified | Build host: reproducible |
| Size: 899914 | Source RPM: python-blosc2-2.7.1-1.3.src.rpm |
| Packager: https://bugs.opensuse.org | |
| Url: https://github.com/Blosc/python-blosc2 | |
| Summary: Python wrapper for the C-Blosc2 library | |
Blosc (https://blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. python-blosc2 is a Python package that wraps C-Blosc2, the newest version of the Blosc compressor. Currently python-blosc2 already reproduces the API of python-blosc, so the former can be used as a drop-in replacement for the later.
BSD-3-Clause
* Thu Oct 10 2024 Dirk Müller <[email protected]>
- update to 2.7.1:
* Updated to latest C-Blosc2 2.15.1.
* Fixes SIGKILL issues when using the `blosc2` library in old
Intel CPUs.
* Sat Jun 29 2024 Dirk Müller <[email protected]>
- update to 2.7.0:
* Updated to latest C-Blosc2 2.15.0.
* Deprecated `LazyExpr.evaluate()`.
* Fixed `_check_rc` function.
* Fri Apr 26 2024 Ben Greiner <[email protected]>
- Update to 2.6.2
* Protection when platforms have just one CPU. This caused the
internal number of threads to be 0, producing a division by zero.
* Updated to latest C-Blosc2 2.14.3.
- Release 2.6.0
* [EXP] New evaluation engine (based on numexpr) for NDArray
instances. Now, you can evaluate expressions like a + b + 1
where a and b are NDArray instances. This is a powerful feature
that allows for efficient computations on compressed data. See
this example to see how this works. Thanks to @omaech for her
help in the pow function.
* As a consequence of the above, there are many new functions to
operate with NDArray instances. See the function section in
NDArray API for more information.
* Support for NumPy 2.0.0 is here! Now, the wheels are built with
NumPy 2.0.0rc1. Please tell us in case you see any issues with
this new version.
* Add **kwargs to load_tensor() function. This allows to pass
additional parameters to the deserialization function. Thanks
to @jasam-sheja.
* Fix vlmeta.to_dict() not honoring tuple encoding. Thanks to
@ivilata.
* Check that chunks/blocks computation does not allow a 0 in
blocks. Thanks to @ivilata.
* Many improvements in ruff rules and others. Thanks to
@DimitriPapadopoulos.
* Remove printing large arrays in notebooks (they use too much
RAM in recent versions of Jupyter notebook).
* Wed Feb 07 2024 Ben Greiner <[email protected]>
- Update to 2.5.1
* Updated to latest C-Blosc2 2.13.1.
* Fixed bug in b2nd.h.
- Release 2.5.0
* Updated to latest C-Blosc2 2.13.0.
* Added the filter INT_TRUNC for integer truncation.
* Added some optimizations for zstd.
* Now the grok library is initialized when loading the plugin
from C-Blosc2.
* Improved doc.
* Support for slices in blosc2.get_slice_nchunks() when using
SChunk objects.
- Release 2.4.0
* Updated to latest C-Blosc2 2.12.0.
* Added blosc2.get_slice_nchunks() to get array of chunk indexes
needed to get a slice of a Blosc2 container.
* Added grok codec plugin.
* Added imported target with pkg-config to support windows.
* Fri Dec 01 2023 Ben Greiner <[email protected]>
- Update to 2.3.2
* Support for `pathlib.Path` objects in all the places where
`urlpath` is used (e.g. `blosc2.open()`). Thanks to Marta
Iborra.
* Included docs for `SChunk.fill_special()` and `NDArray.dtype`.
Thanks to Francesc Alted.
* Sat Nov 25 2023 Dirk Müller <[email protected]>
- update to 2.3.1:
* Temporarily disable AVX512 support in C-Blosc2 for wheels
built by CI until run-time detection works properly.
* Require at least Cython 3 for building. Using previous
versions worked but error handling was not correct (wheels
were being built with Cython 3 anyway).
* New `NDArray.to_cframe()` method and
`blosc2.ndarray_from_cframe()` function for serializing and
deserializing NDArrays to/from contiguous in-memory frames.
Thanks to Francesc Alted.
* Add an optional `offset` argument to `blosc2.schunk.open()`,
to access super-chunks stored in containers like HDF5. Thanks
to Ivan Vilata.
* Assorted minor fixes to the blocksize/blockshape computation
algorithm, avoiding some cases where it resulted in values
exceeding maximum limits. Thanks to Ivan Vilata.
* Updated to latest C-Blosc2 2.11.2. It adds AVX512 support for
the bitshuffle filter, fixes ARM and Raspberry Pi
compatibility and assorted issues.
* Add python-blosc2 package definition for Guix. Thanks to Ivan
Vilata.
* Sat Oct 14 2023 Ben Greiner <[email protected]>
- Update to 2.2.9
* Support for specifying (plugable) tuner parameters in cparams. Thanks to
Marta Iborra.
* Re-add support for Python 3.8. Although we don't provide wheels for it,
support is there (although it requires compilation time).
* Avoid duplicate iteration over the same dict. Thanks to Dimitri Papadopoulos.
* Fix different issues with f-strings. Thanks to Dimitri Papadopoulos.
- Release 2.2.8
* Support for Python 3.12
* Different improvements suggested by refurb and pyupgrade.
Thanks to Dimitri Papadopoulos.
* Updated to latest C-Blosc2 2.10.4.
* Mon Sep 18 2023 Dirk Müller <[email protected]>
- update to 2.2.7:
* Updated to latest C-Blosc2 2.10.3.
* Added openhtj2k codec plugin.
* Tue Aug 22 2023 Ben Greiner <[email protected]>
- Update to 2.2.6
* Multithreading checks only apply to Python defined codecs and
filters. Now it is possible to use multithreading with C codecs
and filters plugins. See PR #127.
* New support for dynamic filters registry for Python.
* Now params for codec and filter plugins are correctly
initialized when using register_codec and register_filter
functions.
* Some fixes for Cython 3.0.0. However,compatibility with Cython
3.0.0 is not here yet, so build and install scripts are still
requiring Cython<3.
* Updated to latest C-Blosc2 2.10.1.
- Release 2.2.5
* Updated to latest C-Blosc2 2.10.0.
* Use the new, fixed bytedelta filter introduced in C-Blosc2
2.10.0.
* Some small fixes in tutorials.
- Release 2.2.3 and 2.2.4
* Added a new section of tutorials for a quick get start.
* Added a new section on how to cite Blosc.
* New method interchunks_info for SChunk and NDArray classes.
This iterates through chunks for getting meta info, like
decompression ratio, whether the chunk is special or not, among
others. For more information on how this works see this
example.
* Now it is possible to register a dynamic plugin by passing None
as the encoder and decoder arguments in the register_codec
function.
* Make shape of scalar slices NDArray objects to follow NumPy
conventions. See #117.
* Updated to latest C-Blosc2 2.9.3.
* Fri May 12 2023 Ben Greiner <[email protected]>
- Bump BuildRequires: Does not build with older c-blosc2
* Thu May 11 2023 Ben Greiner <[email protected]>
- Update to 2.2.2
* Changes relevant for wheels bundling c-blosc2 but not for linux
packages using the library from system
- Update to 2.2.2
* Updated to latest C-Blosc2 2.9.1.
* Tue Apr 25 2023 Dirk Müller <[email protected]>
- update to 2.2.0:
* New bytedelta filter. We have blogged about this:
https://www.blosc.org/posts/bytedelta-enhance-compression-
toolset/. See the examples/ndarray/bytedelta_filter.py for a
sample script. We also have a short video on how bytedelta
works: https://www.youtube.com/watch?v=5OXs7w2x6nw
* `dtype.itemsize` will have preference over typesize in
cparams (as it was documented).
* `blosc2.compressor_list(plugins=False)` do not list codec
plugins by default now. If you want to list plugins too, you
need to pass `plugins=True`.
* Internal C-Blosc2 updated to latest version (2.8.0).
* Thu Mar 30 2023 Ben Greiner <[email protected]>
- Update to 2.1.1
* New NDArray class for handling multidimensional arrays using
compression. It includes:
- Data type handling (fully compatible with NumPy)
- Double partitioning
* See examples at:
https://github.com/Blosc/python-blosc2/tree/main/examples/ndarray
NDarray docs at:
https://www.blosc.org/python-blosc2/reference/ndarray_api.html
Explanatory video on why double partitioning:
https://youtu.be/LvP9zxMGBng Also, see our blog on C-Blosc2
NDim counterpart:
https://www.blosc.org/posts/blosc2-ndim-intro/
- Drop python-blosc2-pr92-debundle.patch
- Drop python-blosc2-pr82-fix-os-release.patch
* Fri Feb 24 2023 Ben Greiner <[email protected]>
- Skip incompatible tests on 32bit
* Fri Feb 17 2023 Ben Greiner <[email protected]>
- Initial specfile for v2.0.0
- Add python-blosc2-pr92-debundle.patch
* gh#Blosc/python-blosc2#92
* Fixes gh#Blosc/python-blosc2#15
- Required by python-tables (PyTables)
/usr/lib64/python3.13/site-packages/blosc2 /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/INSTALLER /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/LICENSE.txt /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/METADATA /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/RECORD /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/REQUESTED /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/WHEEL /usr/lib64/python3.13/site-packages/blosc2-2.7.1.dist-info/top_level.txt /usr/lib64/python3.13/site-packages/blosc2/__init__.py /usr/lib64/python3.13/site-packages/blosc2/__pycache__ /usr/lib64/python3.13/site-packages/blosc2/__pycache__/__init__.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/__init__.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/core.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/core.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/info.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/info.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/lazyexpr.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/lazyexpr.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/ndarray.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/ndarray.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/schunk.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/schunk.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/version.cpython-313.opt-1.pyc /usr/lib64/python3.13/site-packages/blosc2/__pycache__/version.cpython-313.pyc /usr/lib64/python3.13/site-packages/blosc2/blosc2_ext.cpython-313-riscv64-linux-gnu.so /usr/lib64/python3.13/site-packages/blosc2/core.py /usr/lib64/python3.13/site-packages/blosc2/info.py /usr/lib64/python3.13/site-packages/blosc2/lazyexpr.py /usr/lib64/python3.13/site-packages/blosc2/ndarray.py /usr/lib64/python3.13/site-packages/blosc2/schunk.py /usr/lib64/python3.13/site-packages/blosc2/version.py /usr/share/doc/packages/python313-blosc2 /usr/share/doc/packages/python313-blosc2/README.rst /usr/share/licenses/python313-blosc2 /usr/share/licenses/python313-blosc2/LICENSE.txt
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