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Name: python310-netCDF4 | Distribution: openSUSE Tumbleweed |
Version: 1.7.1.post2 | Vendor: openSUSE |
Release: 1.1 | Build date: Mon Sep 30 15:10:26 2024 |
Group: Unspecified | Build host: reproducible |
Size: 1580549 | Source RPM: python-netCDF4-1.7.1.post2-1.1.src.rpm |
Packager: https://bugs.opensuse.org | |
Url: https://github.com/Unidata/netcdf4-python | |
Summary: Python interface to netCDF 3 and 4 |
netCDF version 4 has many features not found in earlier versions of the library and is implemented on top of HDF5. This module can read and write files in both the new netCDF 4 and the old netCDF 3 format, and can create files that are readable by HDF5 clients. The API modelled after Scientific.IO.NetCDF, and should be familiar to users of that module. Most new features of netCDF 4 are implemented, such as multiple unlimited dimensions, groups and zlib data compression. All the new numeric data types (such as 64 bit and unsigned integer types) are implemented. Compound and variable length (vlen) data types are supported, but the enum and opaque data types are not. Mixtures of compound and vlen data types (compound types containing vlens, and vlens containing compound types) are not supported.
HPND AND MIT
* Mon Sep 30 2024 Dirk Müller <dmueller@suse.com> - update to 1.7.1.post2: * ci fixes * Sat Aug 17 2024 Ben Greiner <code@bnavigator.de> - Revert numpy<2 restriction. It is explicitly supported. * Sat Jul 27 2024 Christian Boltz <suse-beta@cboltz.de> - broken test tst_compoundvar.py was renamed to test_compoundvar.py * Mon Jul 08 2024 Steve Kowalik <steven.kowalik@suse.com> - Update to 1.7.1.post1: * include nc_complex source code from v0.2.0 tag * add aarch64 wheels * add support for complex numbers via `auto_complex` keyword to `Dataset` * fix for deprecated Cython `DEF` and `IF` statements using compatibility header with shims for unavailable functionality * add support for MS-MPI `MPI_Message` detection * fix surprising result when indexing vlen str with non-contiguous indices. * Fix bug in set_collective - Remove upper bound on Cython. - Restrict numpy to < 2. - Drop patch 1322.patch, included upstream. * Thu Jun 06 2024 Dominique Leuenberger <dimstar@opensuse.org> - Re-download 1322.patch: ensure it matches the contant as provided the URL specified in the spec file. * Wed May 29 2024 Matej Cepl <mcepl@cepl.eu> - Clean up the SPEC file. * Wed May 29 2024 John Paul Adrian Glaubitz <adrian.glaubitz@suse.com> - Cherry-pick upstream patch to fix build with GCC 14 * https://github.com/Unidata/netcdf4-python/pull/1322.patch * Thu Jan 18 2024 Daniel Garcia <daniel.garcia@suse.com> - Disable broken tests for s390x, gh#Unidata/netcdf4-python#1124, bsc#1218606 * Thu Dec 07 2023 Dirk Müller <dmueller@suse.com> - update to 1.6.5: * fix for issue #1271 (mask ignored if bool MA assinged to uint8 var) * include information on specific object when reporting errors from netcdf-c * Sun Sep 10 2023 Ben Greiner <code@bnavigator.de> - Update to 1.6.4 * set path to SSL certificates internally, so https DAP URLs work with wheels (issue #1246, requires nc_rc_set function available starting with netcdf-c 4.9.1, plus bugfix in netcdf-c PR #2690). * Added certifi as a dependency. * Added `isopen` method to `MFDataset` object to check if underlying files are open. - Version 1.6.3 * Use ``nc_put_vars`` for strided writes for netcdf-c >= 4.6.2 (issue #1222). * _Unsigned="false" should be same as not having _Unsigned set (issue #1232). _Unsigned now must be set to "true" or "True" for variable to be interpreted as unsigned, instead of just having _Unsigned be set (to anything). * Sat Jan 07 2023 Dirk Müller <dmueller@suse.com> - update to 1.6.2: * Added ``netCDF4.__has_set_alignment__`` property to help identify if the underlying netcdf4 supports setting the HDF5 alignment. * Slicing multi-dimensional variables with an all False boolean index array now returns an empty numpy array (instead of raising an exception - issue #1197). Behavior now consistent with numpy slicing. * fix problem with compiling using netcdf-c < 4.9.0 (issue #1209) * Fri Sep 16 2022 Arun Persaud <arun@gmx.de> - update to version 1.6.1: * add Dataset methods has_<name>_filter (where <name>=zstd,blosc,bzip2,szip) to check for availability of extra compression filters. * release GIL for all C-lib calls (issue #1180). * Add support for nc_set_alignment and nc_get_alignment to control alignment of data within HDF5 files. * Mon Jul 11 2022 Arun Persaud <arun@gmx.de> - specfile: * require python >= 3.7 (remove skip python 2 and 3.6 and replace with base >= 3.7) - update to version 1.6.0: * add support for new quantization functionality in netcdf-c 4.9.0 via "signficant_digits" and "quantize_mode" kwargs in Dataset.createVariable. Default quantization_mode is "BitGroom", but alternate methods "BitRound" and GranularBitRound" also supported. * opening a Dataset in append mode (mode = 'a' or 'r+') creates a Dataset if one does not already exist (similar to python open builtin). Issue #1144. Added a mode='x' option (as in python open) which is the same as mode='w' with clobber=False. * allow createVariable to accept either Dimension instances or Dimension names in "dimensions" tuple kwarg (issue #1145). * remove all vestiges of python 2 in _netCDF4.pyx and set cython language_level directive to 3 in setup.py. * add 'compression' kwarg to createVariable to enable new compression functionality in netcdf-c 4.9.0. 'None','zlib','szip','zstd','bzip2' 'blosc_lz','blosc_lz4','blosc_lz4hc','blosc_zlib' and 'blosc_zstd' are currently supported. 'blosc_shuffle', 'szip_mask' and 'szip_pixels_per_block' kwargs also added. compression='zlib' is equivalent to (the now deprecated) zlib=True. If the environment variable NETCDF_PLUGIN_DIR is set to point to the directory with the compression plugin lib__nc* files, then the compression plugins will be installed within the package and be automatically available (the binary wheels have this). Otherwise, the environment variable HDF5_PLUGIN_PATH needs to be set at runtime to point to plugins in order to use the new compression options. * MFDataset did not aggregate 'name' variable attribute (issue #1153). * issue warning instead of raising an exception if missing_value or _FillValue can't be cast to the variable type when creating a masked array (issue #1152). * Define MPI_Session for compatibility with current mpi4py (PR #1156). * Thu Feb 10 2022 Arun Persaud <arun@gmx.de> - specfile: * update copyright year - update to version 1.5.8: * Fix Enum bug (issue #1128): the enum_dict member of an EnumType read from a file contains invalid values when the enum is large enough (more than 127 or 255 members). * Binary wheels for aarch64 and python 3.10. - changes from version 1.5.7: * don't try to mask vlens with default _FillValue, since vlens don't have a default _FillValue. This gets rid of numpy DeprecationWarning (issue #1099). * update docs to reflect the fact that a variable must be in collective mode before writing compressed data to it in parallel. Added a test for this (examples/mpi_example_compressed.py). Issue #1108. * Fix OverflowError when dimension sizes become greater than 2**32-1 elements on Windows (Issue #1112). * Don't return masked arrays for vlens (only for primitive and enum types - issue #1115). * Sun Feb 21 2021 Ben Greiner <code@bnavigator.de> - Update to 1.5.6 * change numpy.bool to numpy.bool_ and numpy.float to numpy.float_ (float and bool are deprecated in numpy 1.20, issue #1065) * clean up docstrings so that they work with latest pdoc. * update cython numpy API to remove deprecation warnings. * Add "fromcdl" and "tocdl" Dataset methods for import/export of CDLvia ncdump/ncgen called externally via the subprocess module (issue #1078). * remove python 2.7 support. * broadcast data (if possible) to conform to variable shape when writing to a slice (issue #1083). - Release 1.5.5 * have setup.py always try use nc-config first to find paths to netcdf and hdf5 libraries and headers. Don't use pkg-config to find HDF5 if HDF5 env vars are set (or read from setup.cfg). * Change MIT license text to standard OSI wording (PR #1046). - Skip python36 build: With NumPy 1.20, python36-numpy is no longer available in Tumbleweed (NEP 29)
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