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  • richardotis · 6 ✖

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  • 0.7 missing Python 3.3 conda package · 6 ✖

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  • NONE · 6 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
176425322 https://github.com/pydata/xarray/issues/732#issuecomment-176425322 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjQyNTMyMg== richardotis 6405510 2016-01-28T21:20:45Z 2016-01-28T21:20:45Z NONE

For anyone else who runs into this, I built a minimal conda package for xarray 0.7 for Python 3.3. It's in the richardotis channel on anaconda.org. Since I make no promises it will be indefinitely maintained, here is the conda.yaml. Put the file in a directory by itself, cd into it and use conda build . --python 3.3 to build.

``` yaml package: name: xarray version: 0.7.0 source: git_url: https://github.com/pydata/xarray.git git_tag: v0.7.0 requirements: build: - python - setuptools - pandas run: - python - pandas

build: script: python setup.py install test: imports: - xarray about: home: https://github.com/pydata/xarray license: Apache summary: 'N-Dimensional Labeled Arrays' ```

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  0.7 missing Python 3.3 conda package 129525746
176381986 https://github.com/pydata/xarray/issues/732#issuecomment-176381986 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM4MTk4Ng== richardotis 6405510 2016-01-28T20:11:06Z 2016-01-28T20:11:06Z NONE

That's what I'm going to do. Thanks for the help.

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  0.7 missing Python 3.3 conda package 129525746
176378656 https://github.com/pydata/xarray/issues/732#issuecomment-176378656 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM3ODY1Ng== richardotis 6405510 2016-01-28T20:04:15Z 2016-01-28T20:04:15Z NONE

It occurs to me that, since xarray is in the "defaults" channel, this probably has to do with a policy at Continuum and so I might be better off just hosting a py33 version of xarray in my own conda channel.

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  0.7 missing Python 3.3 conda package 129525746
176374548 https://github.com/pydata/xarray/issues/732#issuecomment-176374548 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM3NDU0OA== richardotis 6405510 2016-01-28T19:53:18Z 2016-01-28T19:53:18Z NONE

That's true. I just looked and saw numpy's last Python 3.3 build was 1.9.2. On the other hand, I feel that the xarray package rename has created a special case. Without the rename, pycalphad could continue its py33 support indefinitely as long as nothing happened to the relevant xarray APIs (not guaranteed, I understand that).

I'm happy to drop support for deprecated versions when I have to, but with xarray being a pure Python package and seemingly happily running on the latest py33 versions of its dependencies, I don't think it's too much to ask for one more py33 build after the rename.

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  0.7 missing Python 3.3 conda package 129525746
176357482 https://github.com/pydata/xarray/issues/732#issuecomment-176357482 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjM1NzQ4Mg== richardotis 6405510 2016-01-28T19:28:23Z 2016-01-28T19:28:23Z NONE

So it appears that xray hasn't pushed a py33 conda release since 0.5.2, and I didn't notice because conda happily installed that version in my py33 tests and everything worked. With the name change, it can't find a compatible version anymore.

For dependency resolution purposes I would appreciate an official py33 release of xarray 0.7, or even "xarray 0.5.2" if there's been some kind of breaking change just so that conda can find the package.

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  0.7 missing Python 3.3 conda package 129525746
176316930 https://github.com/pydata/xarray/issues/732#issuecomment-176316930 https://api.github.com/repos/pydata/xarray/issues/732 MDEyOklzc3VlQ29tbWVudDE3NjMxNjkzMA== richardotis 6405510 2016-01-28T18:16:50Z 2016-01-28T18:16:50Z NONE

I run py35 personally but my library pycalphad supports py27 and py33+. I noticed this issue when I updated my CI configuration to use "xarray" and only the py33 builds were failing.

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  0.7 missing Python 3.3 conda package 129525746

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