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Hypothesis for parameters #6
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AVHopp
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Implements only the strategy for NumericalDiscreteParameter
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All of my comments are rather minor, so approve :)
* use only randomness from built-in strategies: HypothesisWorks/hypothesis#3810 * the lower bound should be 1 * the now used hypothesis strategy further allows for shrinkage
* Exceptions are now collected into an ExceptionGroup * Added an additional check to identify duplicate substances
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This PR brings hypothesis testing for targets and intervals and follows the same approach as described in #6. To do so, it also enables proper deserialization of target subclasses via the base class using the same "tagged union approach" as for the remaining BayBE components. Since providing type specification for targets was not enforced previously, a temporary backward-compatible workaround is added that fills missing type.
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This PR introduces hypothesis strategies for the parameters package and rewrites the parameter testing logic: