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Bug#860415: RFS: python-xarray/0.9.2-1



Hi Anton, thanks for responding to my sponsorship request.

I still have to iterate on a few things with upstream. Since 0.9.2 has already been tested, validated and tagged, would you mind pushing it anyway?

The source package will have to do another trip to NEW because of the new doc package. Meanwhile, I can sort the last issues out with upstream.

Cheers,
Ghis


On 17/04/17 18:59, Anton Gladky wrote:
Hi Ghis,

it looks like this package is under heavy development. 0.9.5 version
has just been released. Would you mind to package it instead of 0.9.2?

Best regards

Anton


2017-04-16 15:49 GMT+02:00 Ghislain Antony Vaillant <ghisvail@gmail.com>:
Package: sponsorship-requests
Severity: normal

Dear mentors,

* Package name    : python-xarray
  Version         : 0.8.2
  Upstream Author : xarray Developers
* URL             : http://xarray.pydata.org
* License         : Apache-2.0
  Section         : python

One can check out the package by visiting the following URL:

  https://anonscm.debian.org/git/debian-science/packages/python-xarray.git

Changes since last upload:

  * New upstream version 0.9.2
  * Drop repacking of upstream tarballs, no longer required
  * Cherry-pick upstream fix for test config errors
    - New patch Fix-missing-config-errors-when-running-test-suite.patch
  * Add optional dependencies to the build
    - Added bottleneck, dask, distributed, h5netcdf, h5py, matplotlib,
      netcdf4, pydap, scipy, seaborn, toolz to the list of b-deps and
      suggested i-deps
    - Test without distributed and pydap since they are known to fail
      upstream
  * Run DEP-8 tests with all optional dependencies
  * Increase verbosity of DEP-8 tests
  * Discard egg-info dir using extend-diff-ignore
  * Add the documentation package
    - Add cartopy, ipython, numpydoc, sphinx, sphinx-rtd-theme to the list
      of b-deps
    - Mark the dask, matplotlib, netcdf4, numpy, pandas, scipy, seaborn
      b-deps as !nodoc
    - Do not build the documentation if the nodoc b-prof is requested
  * Use the packaged documentation
    - Add numpy-doc, pandas-doc, python3-doc to the list of b-deps
    - Patch the intersphinx configuration to use the packaged docs (new
      patch Use-packaged-docs.patch)
  * Use the packaged MathJax
    - Add MathJax to the i-deps of the documentation package
    - Patch the docs configuration to use the packaged MathJax
  * Remove privacy breaching content from the docs
    - New patch No-privacy-breach.patch

Cheers,
Ghis



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