Snudda, now with included unit test data files
- /packages/py-snudda/package.py
- /spack.yaml
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@elmath Now with unit test data
@elmath It seems the random number generator here yields different results from the one on github. I generalised the test_input unit test to find the neuron types we want, rather than hard code the number that we expected.
For parallel-place I increased the number of trials from 5 to 10 for the k-means clustering. If that test works, the other test_cli.py tests after probably should be fine as they depend on it.
Also increased the duration of an input generation test from 1 second to 2 second, since there are some fluctuations in the frequency of spikes.
Edited by Johannes Hjorth@elmath Can you help me either install the sonata package, or disable the sonata test?
I think with the changes made above, hopefully the next unit test should pass.... hopefully :)
