brute force chances for TestItemRunner

CDCgov · Feb 12, 2024 · a908adc · a908adc
1 parent 8bd7d7d
commit a908adc
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Showing 4 changed files with 17 additions and 23 deletions.
diff --git a/EpiAware/test/runtests.jl b/EpiAware/test/runtests.jl
@@ -1,9 +1,3 @@
-using Test
-using EpiAware
-using Distributions
-using LinearAlgebra
-using Turing, DynamicPPL
+using TestItemRunner
 
-include("test_utilities.jl")
-include("test_epimodel.jl")
-include("test_latent-processes.jl")
+@run_package_tests
diff --git a/EpiAware/test/test_epimodel.jl b/EpiAware/test/test_epimodel.jl
@@ -1,5 +1,5 @@
 
-@testset "EpiModel constructor" begin
+@testitem "EpiModel constructor" begin
     gen_int = [0.2, 0.3, 0.5]
     delay_int = [0.1, 0.4, 0.5]
     cluster_coeff = 0.8
@@ -19,7 +19,7 @@
     @test size(model.delay_kernel) == (time_horizon, time_horizon)
 end
 
-@testset "EpiModel constructor" begin
+@testitem "EpiModel constructor" begin
     gen_int = [0.2, 0.3, 0.5]
     delay_int = [0.1, 0.4, 0.5]
     cluster_coeff = 0.8
@@ -39,7 +39,7 @@ end
     @test size(model.delay_kernel) == (time_horizon, time_horizon)
 end
 
-@testset "EpiModel function" begin
+@testitem "EpiModel function" begin
     recent_incidence = [10, 20, 30]
     Rt = 1.5
 

diff --git a/EpiAware/test/test_latent-processes.jl b/EpiAware/test/test_latent-processes.jl
@@ -1,8 +1,8 @@
 
 
-@testset "Testing random_walk function" begin
+@testitem "Testing random_walk function" begin
     # Test case 1: Testing against theoretical properties
-    @testset "Test case 1" begin
+    @testitem "Test case 1" begin
         n = 5
         model = random_walk(n)
         fixed_model = fix(model, (σ²_RW = 1.0,)) #Fixing the standard deviation of the random walk process

diff --git a/EpiAware/test/test_utilities.jl b/EpiAware/test/test_utilities.jl
@@ -1,4 +1,4 @@
-@testset "Testing scan function with addition" begin
+@testitem "Testing scan function with addition" begin
     # Test case 1: Testing with addition function
     function add(a, b)
         return a + b, a + b
@@ -12,7 +12,7 @@
     @test carry == expected_carry
 end
 
-@testset "Testing scan function with multiplication" begin
+@testitem "Testing scan function with multiplication" begin
     # Test case 2: Testing with multiplication function
     function multiply(a, b)
         return a * b, a * b
@@ -27,26 +27,26 @@ end
     @test carry == expected_carry
 end
 
-@testset "Testing create_discrete_pmf function" begin
+@testitem "Testing create_discrete_pmf function" begin
     # Test case 1: Testing with a non-negative distribution
-    @testset "Test case 1" begin
+    @testitem "Test case 1" begin
         dist = Normal()
         @test_throws AssertionError create_discrete_pmf(dist, Δd = 1.0, D = 3.0)
     end
 
     # Test case 2: Testing with Δd = 0.0
-    @testset "Test case 2" begin
+    @testitem "Test case 2" begin
         dist = Exponential(1.0)
         @test_throws AssertionError create_discrete_pmf(dist, Δd = 0.0, D = 3.0)
     end
 
-    @testset "Test case 3" begin
+    @testitem "Test case 3" begin
         dist = Exponential(1.0)
         @test_throws AssertionError create_discrete_pmf(dist, Δd = 3.0, D = 1.0)
     end
 
     # Test case 4: Testing output against expected PMF
-    @testset "Test case 4" begin
+    @testitem "Test case 4" begin
         dist = Exponential(1.0)
         expected_pmf = [(exp(-(t - 1)) - exp(-t)) / (1 - exp(-5)) for t = 1:5]
         pmf = create_discrete_pmf(dist, Δd = 1.0, D = 5.0)
@@ -55,9 +55,9 @@ end
 
 end
 
-@testset "Testing growth_rate_to_reproductive_ratio function" begin
+@testitem "Testing growth_rate_to_reproductive_ratio function" begin
     #Test that zero exp growth rate imples R0 = 1
-    @testset "Test case 1" begin
+    @testitem "Test case 1" begin
         r = 0
         w = ones(5) |> x -> x ./ sum(x)
         expected_ratio = 1
@@ -66,7 +66,7 @@ end
     end
 
     #Test MethodError when w is not a vector
-    @testset "Test case 2" begin
+    @testitem "Test case 2" begin
         r = 0
         w = 1
         @test_throws MethodError growth_rate_to_reproductive_ratio(r, w)