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Unit tests #4

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ageorgou opened this issue May 25, 2017 · 0 comments

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ageorgou commented May 25, 2017 •

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A suite of unit tests should be written for the framework (preferably using ~~unittest~~ pytest). At the first instance, this should include:

checking that the number of species and observables is correctly identified
checking that the size and shape of the loaded observations is correct (number of observation files, length of time series, number of observables)
checking that the stoichiometry matrix is correctly constructed
checking that various expressions are correctly parsed and (for kinetic laws) mapped to appropriate functions

These should be verified against a standard model, probably one of the examples already included. Further tests could:

check that appropriate warnings/errors are generated when observations are misspecified or when an unsuitable algorithm is chosen
compare the behaviour of the simulator or the inference engine with expected results [this requires more consideration to ensure good coverage and meaningful comparisons]

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