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old dependencies in anaconda environment #286

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bounlu opened this issue Sep 6, 2018 · 1 comment
Open

old dependencies in anaconda environment #286

bounlu opened this issue Sep 6, 2018 · 1 comment

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@bounlu
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bounlu commented Sep 6, 2018

ok, this is not really a bug but I think it needs attention.

i am using anaconda environment for many tools and keep it updated as much as possible with the conda update --all command. but the bottleneck is salmon, which has very old dependencies, and it's a dilemma either to update salmon from 0.8.1 (pretty old buggy version) to the latest one (0.11.3) and downgrade a bunch of other important packages, or vice versa.

Describe the bug
a bug is a species of animal kingdom, a small insect (just kidding)

To Reproduce
Steps and data to reproduce the behavior:

$ conda update salmon
Solving environment: done

## Package Plan ##

  environment location: /home/software/anaconda2

  added / updated specs: 
    - salmon


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    salmon-0.11.3              |       h86b0361_2         2.9 MB  bioconda
    blas-1.0                   |              mkl           6 KB
    numpy-1.14.3               |   py27h28100ab_1          41 KB
    ------------------------------------------------------------
                                           Total:         3.0 MB

The following packages will be UPDATED:

    jemalloc:     4.5.0-0                               bioconda    --> 5.1.0-hfc679d8_0      conda-forge
    libgcc-ng:    7.2.0-hdf63c60_3                      conda-forge --> 8.2.0-hdf63c60_1                 
    libstdcxx-ng: 7.2.0-hdf63c60_3                      conda-forge --> 8.2.0-hdf63c60_1                 
    salmon:       0.8.1-0                               bioconda    --> 0.11.3-h86b0361_2     bioconda   

The following packages will be DOWNGRADED:

    blas:         1.1-openblas                          conda-forge --> 1.0-mkl                          
    fastqc:       0.11.7-5                              bioconda    --> 0.11.6-2              bioconda   
    gsl:          2.4-blas_openblash47a8a8e_1           conda-forge [blas_openblas] --> 2.1-2                 conda-forge
    numpy:        1.15.1-py27_blas_openblashd3ea46f_1   conda-forge [blas_openblas] --> 1.14.3-py27h28100ab_1            
    openjdk:      8.0.144-zulu8.23.0.3_2                conda-forge --> 8.0.121-1                        
    scikit-learn: 0.19.2-py27_blas_openblasha84fab4_201 conda-forge [blas_openblas] --> 0.19.1-py27hedc7406_0            
    scipy:        1.1.0-py27_blas_openblash7943236_201  conda-forge [blas_openblas] --> 1.1.0-py27hd20e5f9_0

Expected behavior
salmon should be updated to the latest version without the requirement of downgrading of its dependencies.

Linux nscc04 2.6.32-696.30.1.el6.x86_64 #1 SMP Fri May 18 11:50:44 EDT 2018 x86_64 x86_64 x86_64 GNU/Linux

@rob-p
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rob-p commented Sep 6, 2018

Hi @bounlu,

None of these dependencies are explicitly declared for the salmon build. In fact, salmon is one of the packages already migrated to the new conda build 3 system. Could you please raise this issue over in the bioconda repository?

Thanks!

Rob

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