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227 lines
7.9 KiB
227 lines
7.9 KiB
What's New |
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=========== |
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Releases |
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------------- |
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v1.1.3 |
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^^^^^^^^^^^^^^ |
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- Release 1.1.3 |
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- Fixed/Enhanced the cloud top temperature diagnostic. |
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- Optical depth was not being calculated correctly when |
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cloud ice mixing ratio was not available. |
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- Fixed an indexing bug that caused crashes on Windows, but should have been |
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crashing on all platforms. |
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- Users can now specify if they want cloud free regions to use fill values, |
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rather than the default behavior of using the surface temperature. |
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- Users can now specify the optical depth required to trigger the cloud |
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top temperature calculation. However, the default value of 1.0 should be |
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sufficient for most users. |
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- Added 'th' alias for the theta product. |
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- Fixed a crash issue related to updraft helicity when a dictionary is |
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used as the input. |
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- The cape_2d diagnostic can now work with a single column of data, just like |
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cape_3d. |
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v1.1.2 |
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^^^^^^^^^^^^^^ |
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- Release 1.1.2 |
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- Fix OpenMP directive issue with cloud top temperature. |
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v1.1.1 |
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^^^^^^^^^^^^^^ |
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- Release 1.1.1 |
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- Added script for building on Cheyenne with maxed out Intel settings, which |
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also required a patch for numpy.distutils. |
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- Fixed a few unicode characters hiding in a docstring that were causing |
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problems on Cheyenne, and also building the docs with Sphinx on Python 2.x. |
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- Fix issue with np.amax not working with xarray on Cheyenne, causing an error |
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with the mdbz product. |
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- Fix cape_2d private variable bug when running with multiple CPUs. |
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v1.1.0 |
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^^^^^^^^^^^^^^ |
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- Release 1.1.0 |
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- Computational routines now support multiple cores using OpenMP. See |
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:ref:`using_omp` for details on how to use this new feature. |
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- The CAPE routines should be noticeably faster, even in the single threaded |
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case (thank you supreethms1809!). |
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- :meth:`wrf.getvar` now works correctly with non-gridded NetCDF variables |
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- The cloud fraction diagnostic has changed: |
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- Users can now select their own cloud threshold levels, and can choose |
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between a vertical coordinate defined as height (AGL), height (MSL), or |
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pressure. |
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- The default vertical coordinate type has been changed to be height (AGL). |
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This ensures that clouds appear over mountainous regions. If you need |
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the old behavior, set the *vert_type* argument to 'pressure'. |
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- Fixed a bug involving the cloud threshold search algorithm, where if the |
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surface was higher than the threshold for a cloud level, the algorithm |
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would use whatever was there before (uninitialized variable bug). This |
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caused some interesting visualization issues when plotted. Now, whenever |
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the surface is above a cloud level threshold, a fill value is used to |
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indicate that data is unavailable for that location. |
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- The cartopy object for LambertConformal should now work correctly in the |
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southern hemisphere. |
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- Fixed a bug with the PolarStereographic projection missing a geobounds |
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argument (thank you hanschen!). |
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- Renamed the modules containing the 'get_product' routines used |
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by :meth:`wrf.getvar` to avoid naming conflicts with the raw computational |
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routine names. Users should be using :meth:`wrf.getvar` instead of these |
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routines, but for those that imported the 'get_product' routines |
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directly, you will need to modify your code. |
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- Fixed a uniqueness issue with the internal coordinate cache that was causing |
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crashes when input data is changed to a different file in a jupyter notebook |
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cell. |
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- Added code to better support building wheels on Windows (thank you letmaik!) |
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- Improved support for scipy.io.netcdf objects. |
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- Added a new 'zstag' diagnostic that returns the height values for the |
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vertically staggered grid. |
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- A DOI is now available for wrf-python. Please cite wrf-python if you are |
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using it for your research. (See :ref:`citation`) |
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- Fixed issue with vertcross and interpline not working correctly when a |
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projection object is used. Users will now have to supply the lower left |
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latitude and longitude corner point. |
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- Beginning with numpy 1.14, wrf-python can be built using the MSVC |
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compiler with gfortran. WRF-Python can now be built for Python 3.5+ on |
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services like AppVeyor. |
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v1.0.5 |
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^^^^^^^^^^^^^^ |
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- Release 1.0.5 |
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- Reduced the CI test file sizes by half. |
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v1.0.4 |
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^^^^^^^^^^^^^^ |
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- Release 1.0.4 |
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- Fix warnings with CI tests which were caused by fill values being written |
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as NaN to the NetCDF result file. |
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- Added the __eq__ operator to the WrfProj projection base class. |
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- Fixed array order issue when using the raw CAPE routine with 1D arrays. |
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v1.0.3 |
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^^^^^^^^^^^^^^ |
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- Relase 1.0.3 |
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- Fixed an issue with the cartopy Mercator subclass where the xlimits were |
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being calculated to the same value (or very close), causing blank plots. |
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v1.0.2 |
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^^^^^^^^^^^^^^ |
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- Release 1.0.2 |
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- Fixed issue with the wspd_wdir product types when sequences of files are |
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used. |
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v1.0.1 |
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^^^^^^^^^^^^^ |
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- Release 1.0.1 |
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- Fixed issue with initialization of PolarStereographic and LatLon map |
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projection objects. |
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- Fixed issue where XTIME could be included in the coordinate list of a |
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variable, but the actual XTIME variable could be missing. NCL allows this, |
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so wrf-python should as well. |
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v1.0.0 |
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^^^^^^^^^^^^^ |
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- Release 1.0.0. |
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- Fixed issue with not being able to set the thread-local coordinate cache to |
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0 to disable it. Also, the cache will now correctly resize itself when |
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the size is reduced to less than its current setting. |
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- Fixed an issue with the '0000-00-00 00:00:00' time used in geo_em files |
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causing crashes due to the invalid time. The time is now set to |
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numpy.datetime64('NaT'). |
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- Fixed issue with wrf.cape_3d not working correctly with a single |
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column of data. |
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Beta Releases |
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-------------- |
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v1.0b3 |
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^^^^^^^^^^^^^ |
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- Beta release 3. |
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- Improvements made for conda-forge integration testing. |
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- Fixed an incorrectly initialized variable issue with vinterp. This issue |
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mainly impacts the unit tests for continuous integration testing with |
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conda-forge, since the data set used for these tests is heavily cropped. |
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- Back-ported the inspect.BoundArguments.apply_defaults so that Python 3.4 |
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works. Windows users that want to try out wrf-python with Python 3.4 |
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can use the bladwig conda channel to get it. |
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v1.0b2 |
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^^^^^^^^^^^^^^ |
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- Beta release 2. |
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- xarray 0.9 no longer includes default index dimensions in the coordinate |
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mappings. This was causing a crash in the routines that cause a reduction |
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in dimension shape, mainly the interpolation routines. This has been |
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fixed. |
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- Documentation updated to show the new output from xarray. |
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v1.0b1 |
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^^^^^^^^^^^^^ |
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- Beta release 1. |
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- Added more packaging boilerplate. |
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- Note: Currently unable to build with Python 3.5 on Windows, due to |
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issues with distutils, numpy distutils, and mingw compiler. Will attempt |
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to find a workaround before the next release. Windows users should use |
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Python 2.7 or Python 3.4 for now. |
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---------------- |
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Alpha Releases |
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---------------- |
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v1.0a3 |
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^^^^^^^^^^^^ |
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- Alpha release 3. |
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- Added docstrings. |
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- The mapping API has changed. |
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- The projection attributes are no longer arrays for moving domains. |
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- Utility functions have been added for extracting geobounds. It is now |
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easier to get map projection objects from sliced variables. |
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- Utility functions have been added for getting cartopy, basemap, and pyngl |
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objects. |
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- Users should no longer need to use xarray attributes directly |
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- Now uses CoordPair for cross sections so that lat/lon can be used instead of |
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raw x,y grid coordinates. |
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- Renamed npvalues to to_np which is more intuitive. |
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- Fixed issue with generator expressions. |
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- Renamed some functions and arguments. |
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------------- |
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Known Issues |
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-------------- |
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v1.0.0 |
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^^^^^^^^ |
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- Currently unable to build on Windows with Python 3.5+ using open source |
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mingw compiler. The mingwpy project is working on resolving the |
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incompatibilities between mingw and Visual Studio 2015 that was used to |
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build Python 3.5+. Numpy 1.13 also has improved f2py support for |
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Python 3.5+ on Windows, so this will be revisited when it is released. |
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