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# prepares the problem | ||
using JumpProcesses, Test | ||
using JumpProcesses, Test, SymbolicIndexingInterface | ||
rate1(u, p, t) = p[1] | ||
rate2(u, p, t) = p[2] | ||
affect1!(integ) = (integ.u[1] += 1) | ||
affect2!(integ) = (integ.u[2] += 1) | ||
crj1 = ConstantRateJump(rate1, affect1!) | ||
crj2 = ConstantRateJump(rate2, affect2!) | ||
g = DiscreteFunction((du, u, p, t) -> nothing; sys = SymbolicIndexingInterface.SymbolCache([:a, :b], [:p1, :p2], :t)) | ||
maj = MassActionJump([[1 => 1], [1 => 1]], [[1 => -1], [1 => -1]]; param_idxs = [1,2]) | ||
g = DiscreteFunction((du, u, p, t) -> nothing; | ||
sys = SymbolicIndexingInterface.SymbolCache([:a, :b], [:p1, :p2], :t)) | ||
dprob = DiscreteProblem(g, [0, 10], (0.0, 10.0), [1.0, 2.0]) | ||
jprob = JumpProblem(dprob, Direct(), crj1, crj2) | ||
jprob = JumpProblem(dprob, Direct(), crj1, crj2, maj) | ||
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# runs the tests | ||
# test basic querying of u0 and p | ||
@test jprob[:a] == 0 | ||
@test jprob[:b] == 10 | ||
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# these are no longer supported by SciMLBase | ||
@test getp(jprob,:p1)(jprob) == 1.0 | ||
@test getp(jprob,:p2)(jprob) == 2.0 | ||
@test jprob.ps[:p1] == 1.0 | ||
@test jprob.ps[:p2] == 2.0 | ||
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# test updating u0 | ||
jprob[:a] = 20 | ||
@test jprob[:a] == 20 | ||
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# test mass action jumps update with parameter mutation in problems | ||
@test jprob.massaction_jump.scaled_rates[1] == 1.0 | ||
jprob.ps[:p1] = 3.0 | ||
@test jprob.ps[:p1] == 3.0 | ||
@test jprob.massaction_jump.scaled_rates[1] == 3.0 | ||
p1setter = setp(jprob, [:p1, :p2]) | ||
p1setter(jprob, [4.0, 10.0]) | ||
@test jprob.ps[:p1] == 4.0 | ||
@test jprob.ps[:p2] == 10.0 | ||
@test jprob.massaction_jump.scaled_rates == [4.0, 10.0] |