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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2019/01/09 05:00:00 UTC
[jira] [Resolved] (ARROW-4200) [C++] conda_env_* files cannot be
used to create a fresh conda environment on Windows
[ https://issues.apache.org/jira/browse/ARROW-4200?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wes McKinney resolved ARROW-4200.
---------------------------------
Resolution: Fixed
Issue resolved by pull request 3353
[https://github.com/apache/arrow/pull/3353]
> [C++] conda_env_* files cannot be used to create a fresh conda environment on Windows
> -------------------------------------------------------------------------------------
>
> Key: ARROW-4200
> URL: https://issues.apache.org/jira/browse/ARROW-4200
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++, Python
> Reporter: Wes McKinney
> Assignee: Wes McKinney
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.12.0
>
> Time Spent: 50m
> Remaining Estimate: 0h
>
> See
> {code}
> λ conda create -n arrow-dev python=3.7 --file=ci\conda_env_cpp.yml --file=ci\conda_env_python.yml -c conda-forge
> Solving environment: failed
>
> PackagesNotFoundError: The following packages are not available from current channels:
>
> - rsync
> - nomkl
>
> Current channels:
>
> - https://conda.anaconda.org/conda-forge/win-64
> - https://conda.anaconda.org/conda-forge/noarch
> - https://repo.anaconda.com/pkgs/main/win-64
> - https://repo.anaconda.com/pkgs/main/noarch
> - https://repo.anaconda.com/pkgs/free/win-64
> - https://repo.anaconda.com/pkgs/free/noarch
> - https://repo.anaconda.com/pkgs/r/win-64
> - https://repo.anaconda.com/pkgs/r/noarch
> - https://repo.anaconda.com/pkgs/pro/win-64
> - https://repo.anaconda.com/pkgs/pro/noarch
> - https://repo.anaconda.com/pkgs/msys2/win-64
> - https://repo.anaconda.com/pkgs/msys2/noarch
>
> To search for alternate channels that may provide the conda package you're
> looking for, navigate to
>
> https://anaconda.org
>
> and use the search bar at the top of the page.
> {code}
> The Linux/macOS-specific dependencies should be put in conda_env_unix.yml
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