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Conda build #2015

Merged
merged 35 commits into from Jun 15, 2016
Merged

Conda build #2015

merged 35 commits into from Jun 15, 2016

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@doutriaux1
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@doutriaux1 doutriaux1 commented Jun 9, 2016

@aashish24 @sankhesh @danlipsa @chaosphere2112 @dnadeau4

This is ready and passes on my computers. But let's carefully review baselines changes at: CDAT/uvcdat-testdata#142

@aashish24
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@aashish24 aashish24 commented Jun 10, 2016

@doutriaux1 I will have a detailed look at it today.

@sankhesh
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@sankhesh sankhesh commented Jun 10, 2016

Buildbot dashboard

Gitlab

CDash

@aashish24
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@aashish24 aashish24 commented Jun 10, 2016

@sankhesh looks like conda is missing on the shell.

@sankhesh
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@sankhesh sankhesh commented Jun 10, 2016

@aashish24 Yes, it was missing for the earlier builds.

Look at the latest one.

@sankhesh
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@sankhesh sankhesh commented Jun 10, 2016

@doutriaux1 What is the path to conda on crunchy?

@aashish24
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@aashish24 aashish24 commented Jun 10, 2016

thanks @sankhesh On karma right? its building now.

@doutriaux1
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@doutriaux1 doutriaux1 commented Jun 10, 2016

@sankhesh it should be in my ${HOME}/anaconda2/bin/conda

@chaosphere2112
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@chaosphere2112 chaosphere2112 commented Jun 13, 2016

@doutriaux1 Building now

@doutriaux1
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@doutriaux1 doutriaux1 commented Jun 13, 2016

i merge master in, I'm updating the baselines for you vcsaddons.

@chaosphere2112
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@chaosphere2112 chaosphere2112 commented Jun 15, 2016

@doutriaux1 @aashish24 Passes tests for me, I'm going to merge.

@chaosphere2112 chaosphere2112 merged commit b403c72 into master Jun 15, 2016
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@chaosphere2112 chaosphere2112 deleted the conda_build branch Jun 15, 2016
@stefraynaud
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@stefraynaud stefraynaud commented Jun 22, 2016

I successfully installed uvcdat using conda on a supercomputer where I haven't been able to do it for years using cmake. So will the conda system be the prefered way to install uvcdat in the future?

@williams13
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@williams13 williams13 commented Jun 22, 2016

Yes.

Best regards,
Dean

From: Stephane Raynaud <notifications@github.commailto:notifications@github.com>
Reply-To: UV-CDAT/uvcdat <reply@reply.github.commailto:reply@reply.github.com>
Date: Wednesday, June 22, 2016 at 2:31 AM
To: UV-CDAT/uvcdat <uvcdat@noreply.github.commailto:uvcdat@noreply.github.com>
Subject: Re: [UV-CDAT/uvcdat] Conda build (#2015)

I successfully installed uvcdat using conda on a supercomputer where I haven't been able to do it for years using cmake. So will the conda system be the prefered way to install uvcdat in the future?


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@aashish24
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@aashish24 aashish24 commented Jun 22, 2016

I successfully installed uvcdat using conda on a supercomputer where I haven't been able to do it for years using cmake. So will the conda system be the prefered way to install uvcdat in the future?

@stefraynaud cheers 🎉 yes, conda is the preferred way for installation for the end-users. Also I would like to point out that conda is a package management system and cmake is the build system. Underneath conda, you are still using make and cmake for individual packages.

I am curious if you were able to use system MPI for your supercomputer?

@aashish24
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@aashish24 aashish24 commented Jun 22, 2016

I am curious if you were able to use system MPI for your supercomputer?

If not, I am wondering if you can point mpi4py to use system MPI. It should be possible but may require some manual work.

@doutriaux1
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@doutriaux1 doutriaux1 commented Jun 22, 2016

@aashish24 mpi4py states:

Install

Once you have a working MPI implementation and the mpicc compiler wrapper is on your search path, you can install this package

so for system mpi you probably will need to install mpi4py in your conda environment after the fact.

@doutriaux1
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@doutriaux1 doutriaux1 commented Jun 22, 2016

we will be providing builds against openmpi though.

@aashish24
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@aashish24 aashish24 commented Jun 22, 2016

@aashish24 mpi4py states:

@doutriaux1 that's what I was thinking too but this would be manual process as I stated.

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6 participants