Fix up and modularise tests

Author: frankier

test/ability_estimator_2d.jl

@@ -67,7 +67,7 @@ mle_mode_2d = ModeAbilityEstimator(lh_est_2d, optimizer_2d)
         # Item closer to the current estimate (1, 1)
         close_item = 5
         # Item further from the current estimate
-        far_item = 6
+        far_item = 7
 
         close_info = compute_criterion(
             information_criterion, tracked_responses_2d, close_item)

test/dummy.jl

@@ -34,7 +34,7 @@ const ability_estimators_1d = [
     ((:integrator,),
         (stuff) -> MeanAbilityEstimator(LikelihoodAbilityEstimator(), stuff.integrator)),
     ((:optimizer,),
-        (stuff) -> ModeAbilityEstimator(LikelihoodAbilityEstimator(), stuff.optimizer))
+        (stuff) -> ModeAbilityEstimator(SafeLikelihoodAbilityEstimator(), stuff.optimizer))
 ]
 const criteria_1d = [
     ((:integrator, :est),

test/smoke.jl

@@ -1,5 +1,17 @@
 #(item_bank, abilities, responses) = dummy_full(Random.default_rng(42), SimpleItemBankSpec(StdModel4PL(), VectorContinuousDomain(), BooleanResponse()), 2; num_questions=100, num_testees=3)
 
+using Random
+using ComputerAdaptiveTesting
+using ComputerAdaptiveTesting.Aggregators
+using ComputerAdaptiveTesting.TerminationConditions
+using ComputerAdaptiveTesting.Sim
+using FittedItemBanks
+using FittedItemBanks.DummyData: dummy_full, SimpleItemBankSpec, StdModel3PL,
+                                 VectorContinuousDomain, BooleanResponse, std_normal
+
+include("./dummy.jl")
+using .Dummy
+
 @testset "Smoke test 1d" begin
     (item_bank, abilities, true_responses) = dummy_full(
         Random.default_rng(42),