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Changes for NML v2.3 release #257
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This is more performant than having a Marker object for each sphere. Ideally, we should also use a single Line object to plot all lines in the same way, to improve performance. A TODO.
test(modchananalysis): test to check that nrnivmodl is run when required
* development: (23 commits) ci: also run `pynml` multi-validation chore(pynml): format with black Adding logic for one-shot validation of multiple input files feat: improve installation of extra deps feat(plot-morph): add different types to 2d/3d plots chore: use logger test(utils): add test for `extract_position_info` test: add example L23 cell network for tests test(plotter): add test for plotting network of cells chore: clean imports, use logger chore: remove unused import fix(pynml): correctly handle mutable arguments fix(pynml): correct location of debug statement fix(pynml): correct conditional chore: bump copyright year to 2023 ci(py311): add py311 to ci and setup.py chore: update copyright year chore(archive): format with black fix(archive-tests): ensure new variable is passed to each call fix(archive): clean up temp dir after processing ...
* development: chore(gitignore): ignore `*.neux` fix: only test validation of valid files
…rimental * 'experimental' of github.com:NeuroML/pyNeuroML: Ignore arm64 dir on new mac chip
pynml-modchananalysis excepting on division by zero
…rimental * 'experimental' of github.com:NeuroML/pyNeuroML: test(modchananalysis): test to check that nrnivmodl is run when required ooops, had forgotten to commit right logic handling near zero values Checking for compiled mod files. Fixes #165
feat(pynml): include more info in version
Just needed to replace it with sympy's `Heaviside` function: Reference: https://docs.sympy.org/latest/modules/functions/special.html#sympy.functions.special.delta_functions.Heaviside
Feat/chan den analysis
Feat/nsgr integration
Generate pngs of tests in same dirs
One can provide what fraction of each population should be plotted as a point neuron.
To v1.1.0; Update to jnml v0.12.3 jar
To v1.1.0; uses jnml jar 0.12.4
feat(write): include HDF5 writing
Feat/hybrid plots: allow users to specify how they want various cells in networks to be plotted
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