Changelog for python3-netCDF4-1.4.0-lp150.5.8.x86_64.rpm :

* Thu May 17 2018 tchvatalAATTsuse.com- Add patch netcdf-disable-broken-test.patch
* This test got \"broken\" with the new netcdf that fixed another problem https://github.com/Unidata/netcdf4-python/issues/752
* Thu May 17 2018 tchvatalAATTsuse.com- Version update to 1.4.0:
* fixed bug in detection of CDF5 library support in setup.py (pull request [#736], issue #713).
* fixed reading of variables with zero-length dimensions in NETCDF3_CLASSIC files (issue #743).
* allow integer-like objects in VLEN slices (not just python ints, issue [#526], pull request #757).
* treating _FillValue as a valid_min/valid_max was too surprising, despite the fact the thet netcdf docs \'attribute best practices\' suggests that clients should to this. Revert this change from issue #576 (issue #761).
* remove netcdftime, since it is now a separate package. date2num, num2date and date2index still importable from netCDF4.
* fix \'Unreachable code\' cython warning (issue #767).
* Change behavior of string attributes so that nc.stringatt = [\'foo\',\'bar\'] produces an vlen string array attribute in NETCDF4, instead of concatenating into a single string (\'foobar\'). In NETCDF3/NETCDF4_CLASSIC, an IOError is now raised, instead of writing \'foobar\'. Issue #770.
* fix loading of enum type names (issue #775).
* make sure missing_value applies only to scaled short integers if auto-scaling is on (issue #777).
* automatically create views of compound types with character arrays as numpy strings (issue #773). Can be disabled using \'set_auto_chartostring(False)\'. Numpy structured array dtypes with \'SN\' string subtypes can now be used to define netcdf compound types (they get converted to (\'S1\',N) character array types automatically).
* always return masked array by default, even if there are no masked values (too surprising to get ndarray or MaskedArray depending on slice, issue #785).
* treat valid_min/valid_max/_FillValue/missing_value as unsigned integers if _Unsigned is set (to mimic behaviour of netcdf-java). Conversion to unsigned type now occurs before masking and scale/offset operation. Issue #794.
* Thu Mar 01 2018 sebix+novell.comAATTsebix.at- update to version 1.3.1:
* add parallel IO capabilities. netcdf-c and hdf5 must be compiled with MPI support, and mpi4py must be installed. To open a file for parallel access, use `parallel=True` in `Dataset.__init__` and optionally pass the mpi4py Comm instance using the `comm` kwarg and the mpi4py Info instance using the `info` kwarg. IO can be toggled between collective and independent using `Variable.set_collective`. See `examples/mpi_example.py`. Issue #717, pull request #716. Minimum cython dependency bumped from 0.19 to 0.21.
* Add optional `MFTime` calendar overload to use across all files, for example, `\'standard\'` or `\'gregorian\'`. If `None` (the default), check that the calendar attribute is present on each variable and values are unique across files raising a `ValueError` otherwise.
* Allow _FillValue to be set for vlen string variables (issue #730).- update to version 1.3.0:
* always search for HDF5 headers when building, even when nc-config is used (since nc-config does not always include the path to the HDF5 headers). Also use H5get_libversion to obtain HDF5 version info instead of H5public.h. Fixes issue #677.
* encoding kwarg added to Dataset.__init__ and Dataset.filepath (default is to use sys.getfilesystemencoding()) so that oddball encodings (such as cp1252 on windows) can be handled in Dataset filepaths (issue #686).
* Calls to nc_get_vars are avoided, since nc_get_vars is very slow (issue [#680]). Strided slices are now converted to multiple calls to nc_get_vara. This speeds up strided slice reads by a factor of 10-100 (especially for NETCDF4/HDF5 files) in most cases. In some cases, strided reads using nc_get_vars are faster (e.g. strided reads over many dimensions such as var[:,::2,::2,::2])), so a variable method use_nc_get_vars was added. var.use_nc_get_vars(True) will tell the library to use nc_get_vars instead of multiple calls to nc_get_vara, which was the default behaviour previous to this change.
* fix utc offset time zone conversion in netcdftime - it was being done exactly backwards (issue #685 - thanks to AATTpgamez and AATTmdecker).
* Fix error message for illegal ellipsis slicing, add test (issue #701).
* Improve timezone format parsing in netcdftime
* make sure numpy datatypes used to define CompoundTypes have isalignedstruct flag set to True (issue #705), otherwise. segfaults can occur. Fix required raising them minimum numpy requirement from 1.7.0 to 1.9.0.
* ignore missing_value, _FillValue, valid_range, valid_min and valid_max when creating masked arrays if attribute cannot be safely cast to variable data type (and issue a warning). When setting these attributes don\'t cast to variable dtype unless it can be done safely and issue a warning. Issue #707.- update to version 1.2.9:
* Fix for auto scaling and masking when _Unsigned attribute set (create view as unsigned type after scaling and masking). Issue #671.
* Always mask values outside valid_min, valid_max (not just when missing_value attribue present). Issue #672.- remove check boundary condition
* Sun Jun 11 2017 toddrme2178AATTgmail.com- Implement single-spec version- Fix source URL.- Update to version 1.2.8
* recognize _Unsigned attribute used by netcdf-java to designate unsigned integer data stored with a signed integer type in netcdf-3 (issue #656).
* add Dataset init memory parameter to allow loading a file from memory (pull request #652, issues #406 and #295).
* fix for negative times in num2date (issue #659).
* fix for failing tests in numpy 1.13 due to changes in numpy.ma (issue #662).
* Checking for _Encoding attribute for NC_STRING variables, otherwise use \'utf-8\'. \'utf-8\' is used everywhere else, \'default_encoding\' global module variable is no longer used. getncattr method now takes optional kwarg \'encoding\' (default \'utf-8\') so encoding of attributes can be specified if desired. If _Encoding is specified for an NC_CHAR (\'S1\') variable, the chartostring utility function is used to convert the array of characters to an array of strings with one less dimension (the last dimension is interpreted as the length of each string) when reading the data. When writing the data, stringtochar is used to convert a numpy array of fixed length strings to an array of characters with one more dimension. chartostring and stringtochar now also have an \'encoding\' kwarg. Automatic conversion to/from character to string arrays can be turned off via a new set_auto_chartostring Dataset and Variable method (default is True). Addresses issue #654.
* Cython >= 0.19 now required, _netCDF4.c and _netcdftime.c removed from repository.- Update to version 1.2.7
* fix for issue #624 (error in conversion to masked array when variable slice returns a scalar). This is a regression introduced in 1.2.5 associated with support for vector missing_values. Test (tst_masked5.py) added for vector missing_values.
* fix for python 3.6 compatibility (error retrieving character _FillValue attribute, issue #626). Test with python 3.6 using travis CI.- Update to version 1.2.6
* fix some test failures on big endian PPC64 that were due to errors in byte-swapping logic. Also fixed bug in enum code exposed on PPC64 (issue #608).
* remove support for python 2.6 (it probably still will work for a while though).
* Sometimes checking that data being assigned to a variable has an \'ndim\' attribute is not sufficient, instead check to see that the object supports the buffer interface (issue #613).
* make get_variables_by_attributes work in MFDataset (issue #610) The hack is also applied for set_auto_maskandscale, set_auto_scale, set_automask, so these don\'t have to be duplicated in MFDataset (pull request #571).- Update to version 1.2.5
* Add MFDataset.set_auto_maskandscale (plus set_auto_scale, set_auto_mask). Fixes issue #570.
* Use valid_min/valid_max/valid_range attributes when defining mask (issue #576). Values outside the valid range are considered to be missing when defining the mask.
* Fix for issue #584 (add support for dates before -4712-1-1 in 360_day and 365_day calendars to netcdftime.utime).
* Fix for issue #593: add support for datetime.timedelta operations (adding and subtracting timedelta, subtracting two datetime instances to compute time duration between them), implement datetime.replace() and datetime.__str__(). datetime.__repr__() includes the full state of an instance. Add datetime.calendar. datetime comparison operators have full accuracy now.
* Fix for issue #585 by increasing the size of the buffer used to store the filepath.
* Fix for issue #592: Add support for string array attributes. (When reading, a vlen string array attribute is returned as a list of strings. To write, use var.setncattr_string(\"name\", [\"two\", \"strings\"]).)
* Fix for issue #596 - julian day calculations wrong for negative years, caused incorrect rountrip num2date(date2num(date)) roundtrip for dates with year < 0.
* Make sure negative years work in utime.num2date (issue #596).
* raise NotImplementedError when trying to pickle Dataset, Variable, CompoundType, VLType, EnumType and MFDataset (issue #602).
* Fix for issue #527: initialize vldata[i].p in Variable._get(...).- Update to version 1.2.4
* Fix for issue #554. It is now ensured that data is in native endian byte order before passing to netcdf-c library. Data read from variable with non-native byte order is also byte-swapped, so that dtype remains consistent with netcdf variable. Behavior now consistent with h5py.
* raise warning for HDF5 1.10.x (issue #549), since backwards incompatible files may be created.
* raise AttributeError instead of RuntimeError when attribute operation fails. raise IOError instead of RuntimeError when nc_create or nc_open fails (issue #546).
* Use NamedTemporaryFile instead of deprecated mktemp in tests (pull request #543).
* add AppVeyor automated windows tests (pull request #540).- Update to version 1.2.3.1
* fix bug in setup.py (pull request #539, introduced in issue #518).- Update to version 1.2.3
* try to avoid writing NC_STRING attributes if possible, by trying to convert unicode strings to ascii and write as NC_CHAR (issue [#529]). This preserves compatibility with clients (like Matlab) that can\'t deal with NC_STRING attributes. A \'setncattr_string\' method was added for Dataset and Variable to that users can force attributes to be written as NC_STRING if necessary.
* fix failing tests with numpy 1.11 (issues #521 and #522).
* fix indentation bug in nc4tonc3 utility (issue #519).
* add the capability in setup.py to use pkg-config instead of nc-config (pull request #518).
* make sure slices which return scalar masked arrays are consistent with numpy.ma (issue #515).
* add test/tst_cdf5.py and test/tst_filepath.py (to test new NETCDF3_64BIT_DATA format and filepath Dataset method).
* expose netcdftime.__version__ (issue #504).
* fix potential memory leak in Dataset.filepath in attempt to fix mysterious segfaults on CentOS6 (issue #506). Segfaults can apparently still occur on systems like CentOS6 with old versions of glibc.- Update to version 1.2.2
* fix failing tests on python 2.6 (issue #497). Change minimum required python from 2.5 to 2.6.
* Potential memory leaks fixed by freeing string pointers internally allocated in netcdf-c using nc_free_string. Also use nc_free_vlens to free space allocated for vlens inside netcdf-c (issue #495).
* invoke str on filename argument to Dataset constructor, so pathlib instances can be used (issue #489).
* don\'t use hardwired NC_MAX_DIMS or NC_MAX_VARS internally to allocate space for dimension or variable ids. Instead, find out the number of dims and vars and use malloc. NC_MAX_NAME is still used to allocate space for attribute and variable names, since there is no obvious way to determine the length of these names.
* if trying to write a unicode attribute, check to see if it exists first and is NC_CHAR, and if so, delete it and recreate it. Workaround for C lib bug discovered in issue #485.
* support for NETCDF3_64BIT_DATA format supported in netcdf-c 4.4.0. Similar to NETCDF3_64BIT (now NETCDF3_64BIT_OFFSET), but includes 64 bit dimensions and sizes, plus unsigned and 64 bit integer data types.
* make sure chunksize does not exceed dimension size (for non-unlimited dimensions) on variable creation (issue #480).
* add \'size\' attribute to Dimension (same as len(d), where d is a Dimension instance, issue #477).
* fix bug in nc3tonc4 with --unpackshort=1 (issue #474).
* dates do not have to be contiguous, i.e. can be before and after the missing dates in Gregorian calendar (pull request #476).
* Fri Oct 16 2015 toddrme2178AATTgmail.com- Update to version 1.2.1
* add the capability to slice variables with unsorted integer sequences, or integer sequences with duplicates (issue #467). This was done by converting boolean array slices to integer array slices internally, instead of the other way around.
* raise TypeError if masked array assigned to a VLEN str variable slice (issue #464).
* Ellipsis now can be used with scalar VLEN str variables (issue #458). Slicing of scalar VLEN (non-str) variables now works.
* Allow non-positive reference years in non-real-world calendars (issue #442).- Update to version 1.2.0
* Fixes to setup.py for building on windows (issue #460).
* warnings now issued if file being read contains unsupported variables or data types (they were previously being silently skipped).
* added \'get_variables_by_attributes\' method (issue #454).
* check for \'units\' attribute in date2index (issue #453).
* added support for enum types (issue #452).
* added \'isopen\' Dataset method (issue #450).
* raise ValueError if year 0 or negative year used in time units string. The year 0 does not exist in the Julian and Gregorian calendars (issue #442).
* Tue Jul 14 2015 toddrme2178AATTgmail.com- Initial version