recipe svsolver

The svSolver includes three executable programs: Presolver(svpre), Flowsolver(svsolver), Postsolver(svpost).

Homepage:

https://simtk.org/projects/simvascular/

Developer docs:

https://github.com/SimVascular/svSolver

License:

BSD / BSD

Recipe:

/svsolver/meta.yaml

package svsolver

versions:

2022.07.20-0

depends libgcc-ng:

>=12

depends libgfortran-ng:

depends libgfortran5:

>=10.4.0

depends libstdcxx-ng:

>=12

depends libzlib:

>=1.2.11,<1.3.0a0

depends mpich:

>=3.4.3,<5.0a0

depends tbb:

>=2020.2,<2021.0.0a0

depends vtk:

>=8.1.1,<8.1.2.0a0

depends zlib:

>=1.2.11,<1.3.0a0

requirements:

additional platforms:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install svsolver

and update with::

   mamba update svsolver

To create a new environment, run:

mamba create --name myenvname svsolver

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull quay.io/biocontainers/svsolver:<tag>

(see `svsolver/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

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