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File python-cdflib.changes of Package python-cdflib
------------------------------------------------------------------- Tue Nov 19 12:29:49 UTC 2024 - Dirk Müller <dmueller@suse.com> - update to 1.3.2: * Adding anonymous s3 access to cdflib ------------------------------------------------------------------- Sat Aug 17 14:34:56 UTC 2024 - Ben Greiner <code@bnavigator.de> - Update to 1.3.1 * Added tox to serve as the unit testing infrastructure, and changed which unit tests were run (see the github actions to see what exactly is running) * Added tests to check future versions of numpy and astropy * Added back in the remote data unit tests * xarray_to_cdf: Added an ISTP check to determine is attribute and variable names are compliant * cdfwrite: Clearer error message surrounding data type conversions to CDF data types - Version 1.0 * Version 1.0.0 is a new major version for cdflib, and contains a number of breaking changes. These have been made to improve consistency across the package, and make it easier to maintain and build on the package going forward in the future. * Although we have tried our best to not introduce new bugs and list all changes below, some things may have slipped through the cracks. If you have any issues, please do not hesitate to open them at https://github.com/MAVENSDC/cdflib/issues. ## Python support * cdflib is now only tested on Python 3.8, 3.9, 3.10, and 3.11. It may work for older versions of Python, but this is not guarenteed. If you need to use cdflib on an older version of Python, please open an issue to discuss whether the cdflib maintainers can support this. ### Returning arrays * All to_np keyword arguments have been removed throughout the library, and the code now behaves as if to_np=True throughout. This change has been made to reduce code omplexity and make maintaining the code easier. If you need outputs as lists, call .tolist() on the output array. * to_np=True was the deafult in cdfread, so if you weren't specifying it behaviour will not change there. to_np=False was the default in epochs, so if you weren't specifying it there beahviour will change. * Changes to CDF method returns Most of the methods that return data from the CDF reader class have had their return types changed from dictionaries to dataclasses. This allows the return type to be more clearly documented (see :ref:dataclasses), for internal checks to be made to make sure data types are consistent, and a nicer representation when the return values are printed. * Where previously an item would have been accessed as dict["value"], items in the dataclasses can be accessed using dataclass.value. * The methods that have been updated are: - cdflib.cdfread.CDF.vdr_info - cdflib.cdfread.CDF.attinq - cdflib.cdfread.CDF.attget - cdflib.cdfread.CDF.varget - cdflib.cdfread.CDF.varinq ## Other breaking changes * The CDF factory class (cdflib.CDF) has been removed, and cdflib.CDF is now the reader class. This change has been made to prevent potential confusion when the user makes a mistake in specifying the file to open, and cdflib would silently create a writer class instead. If you want to create a CDF writer class, explicitly import cdflib.cdfwrite.CDF instead. * cdflib.cdfread.CDF.varget no longer takes an inq argument. Instead use the new method cdflib.cdfread.CDF.vdr_info to get the VDR info. getVersion() methods have been removed throughout the package. Instead the CDF version can be read from class attributes. * Removed cdflib.cdfepochs.CDFepoch.getLeapSecondLastUpdated. * Directly inspect CDFepoch.LTS instead to get the last date at which a leapsecond was added. * The expand keyword argument to cdflib.cdfread.CDF.varget has been removed. * Use CDF.varinq to get variable information instead. * The expand keyword argument to CDF.globalattsget and CDF.varattsget has been removed. * Use cdflib.cdfread.CDF.attinq to get attribute information instead. * Removed CDF.print_attrs * The version, release, and increement attributes of CDF have been removed. * Removed the record_range_only argument to cdflib.cdfread.CDF.varget. * Removed CDF.epochrange. Use cdflib.cdfread.CDF.varinq instead to get the data ranges. ------------------------------------------------------------------- Sun Feb 6 13:30:50 UTC 2022 - Ben Greiner <code@bnavigator.de> - Initial specfile for version 0.3.20 - Required for sunpy testing
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