Topic

General area which your question is related to.

• [x ] Installation of RMG
• Running an RMG job
• Using RMG API
• Arkane (formerly CanTherm)
• Dependencies
• An error message

Context

I started with a binary installation a couple of months ago to try out RMG. After failing to get AFM to work, I did a reinstall yesterday from the source. Now AFM appears to work, but RMG is much slower with a lot of julia warnings. The install was performed as outlined in section 3.3.1 on the RMG website. The repositories were cloned using https rather than ssh. There was a warning about matplotlib, but other than that the installation seemed to me to be OK. As far as I can tell, the installation works, but is so slow that I haven't finished a RMG run.

Question

Does any of this output indicate an obvious issue? Or is there any other common reason why this would be ~10x+ slower than the binary install? Thanks.

[Cantera@localhost liquid_phase_Azo3_NO]$ conda activate rmg_env
(rmg_env) [Cantera@localhost liquid_phase_Azo3_NO]$ python /home/Cantera/RMG-Py/rmg.py mma_ox.py -n2
WARNING: method definition for getreactionindices at /home/Cantera/miniconda3/envs/rmg_env/share/julia/packages/ReactionMechanismSimulator/mfVTj/src/Phase.jl:320 declares type variable Q but does not use it.
WARNING: method definition for Inlet at /home/Cantera/miniconda3/envs/rmg_env/share/julia/packages/ReactionMechanismSimulator/mfVTj/src/Interface.jl:243 declares type variable B but does not use it.
WARNING: method definition for #ConstantTPDomain#328 at /home/Cantera/miniconda3/envs/rmg_env/share/julia/packages/ReactionMechanismSimulator/mfVTj/src/Domain.jl:42 declares type variable W but does not use it.
WARNING: method definition for #ConstantTPDomain#328 at /home/Cantera/miniconda3/envs/rmg_env/share/julia/packages/ReactionMechanismSimulator/mfVTj/src/Domain.jl:42 declares type variable Q but does not use it.
...

Installation Information

Describe your installation method and system information if applicable.

• OS Centos 7
• Installation method: source
• RMG version information:

• RMG-Py: 3.2.0-222-gd255145
• RMG-database: 3.2.0-5-gcfb4910