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Jeff Whitaker
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Merge pull request #904 from Unidata/v1.5.0.1rel
prepare for 1.5.0.1 release to update binary wheels
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Changelog

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version 1.5.0.1 (tag v1.5.0.1rel)
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==================================
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* binary wheels for linux and macosx rebuilt against netcdf-c 4.6.3 (instead
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of 4.4.1.1).
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* add read-shared mode (mode='rs'). Significantly speeds up reads of NETCDF3
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files (pull request #902).
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version 1.5.0 (tag v1.5.0rel)
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===============================
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* added support for parallel IO in the classic netcdf-3 formats through the

README.md

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## News
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For details on the latest updates, see the [Changelog](https://github.com/Unidata/netcdf4-python/blob/master/Changelog).
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04/02/2019: Version [1.5.0.1](https://pypi.python.org/pypi/netCDF4/1.5.0.1) released. Binary wheels for macos x
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and linux rebuilt with netcdf-c 4.6.3 (instead of 4.4.1.1). Added read-shared capability for faster reads
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of NETCDF3 files (mode='rs').
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03/24/2019: Version [1.5.0](https://pypi.python.org/pypi/netCDF4/1.5.0) released. Parallel IO support for classic
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file formats added using the pnetcdf library (contribution from Lars Pastewka, [pull request #897](https://github.com/Unidata/netcdf4-python/pull/897)).

netCDF4/_netCDF4.pyx

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"""
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Version 1.5.0
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Version 1.5.0.1
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-------------
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- - -
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# python3: zip is already python2's itertools.izip
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pass
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__version__ = "1.5.0"
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__version__ = "1.5.0.1"
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# Initialize numpy
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import posixpath
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else:
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if mode == 'rs':
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# NC_SHARE is very important for speed reading
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# large netcdf3 files with a record dimension.
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# Opening as r+s or as implies capability to
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# which may be inconsistent with actual access
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# large netcdf3 files with a record dimension
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# (pull request #902).
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ierr = nc_open(path, NC_NOWRITE | NC_SHARE, &grpid)
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else:
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ierr = nc_open(path, NC_NOWRITE, &grpid)

setup.py

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setup(name="netCDF4",
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cmdclass=cmdclass,
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version="1.5.0",
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version="1.5.0.1",
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long_description="netCDF version 4 has many features not found in earlier versions of the library, such as hierarchical groups, zlib compression, multiple unlimited dimensions, and new data types. It is implemented on top of HDF5. This module implements most of the new features, and can read and write netCDF files compatible with older versions of the library. The API is modelled after Scientific.IO.NetCDF, and should be familiar to users of that module.\n\nThis project is hosted on a `GitHub repository <https://github.com/Unidata/netcdf4-python>`_ where you may access the most up-to-date source.",
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author="Jeff Whitaker",
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author_email="[email protected]",

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