WIP: NeuroML import and export fixes and enhancements #810
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Without it tests/ will be installed as a top level Python module.
…ate-medical-center/development PR from development to master - VERSION 1.0.5
More readable, and IDE friendly
I seem to be able to run NetPyNE sims fine with MPI, so this comment does not seem to apply any more.
See, override decoration helps :)
It's a warning that the user should be aware of.
erev is not required in Nernst or GHK2
Removing the minimumdescent=False from the call to TextArea
…medical-center#829) * batch tools subpackage merge into dev, see PR suny-downstate-medical-center#818 suny-downstate-medical-center#822 suny-downstate-medical-center#826 suny-downstate-medical-center#827 see documentation
…move-saveFileStep Remove saveFileStep
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Hi @sanjayankur31, is this still WIP or it can be merged? |
…reilly/patch-1 Bug fix in scalebar - removing the use of the minimumdescent argument in the call to TextArea
…development Exlude tests from discovery / installation
…at has emerged with spack installation (EBRAINS platform). Will re-visit later.. This reverts commit e5aa9e8.
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Still WIP I'm afraid. The bits are almost complete but we need to investigate differences in spike times b/w NeuroML's NetPyNE export and the NEURON export. |
…mplates (suny-downstate-medical-center#831) see netpyne.batchtools esp. submits.py and search.py slurm job submission: search() now supports job_type='slurm' with associated 'ifs' and 'socket' communication modes the run_config for these submission scripts should specify the following arguments: 'allocation' (allocation for the job) 'walltime' (time limit before job termination) 'nodes' (# nodes for job) 'coresPerNode' (number of cores per job--i.e. the mpiexec -n value) 'email' (user email) 'custom' (any custom commands to execute prior to sourcing ~/.bashrc) 'command' (execution of script, command to be run from the project directory to run the script) update to see submission: run_config for the submission now includes the following argument 'realtime' (time limit before job termination)
[skip ci]
This is only required if one modifies the keys of the dict while iterating over it, which we do not.
The same segment objects are used everywhere, so the segment object in `parent_seg` will also be the one used in the lists in `ordered_segs`. So, there's no need to iterate and compare ids, simply look if the object is in the list.
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