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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
The text was updated successfully, but these errors were encountered:
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?
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:
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
The text was updated successfully, but these errors were encountered: