Merge branch 'SciML:master' into reset_noise

rmsrosa · web-flow · commit 93cd9b691649 · 2022-08-23T19:14:45.000-03:00
diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "StochasticDiffEq"
 uuid = "789caeaf-c7a9-5a7d-9973-96adeb23e2a0"
 authors = ["Chris Rackauckas <accounts@chrisrackauckas.com>"]
-version = "6.52.1"
+version = "6.52.2"
 
 [deps]
 Adapt = "79e6a3ab-5dfb-504d-930d-738a2a938a0e"
@@ -58,14 +58,14 @@ julia = "1.6"
 DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
 DiffEqDevTools = "f3b72e0c-5b89-59e1-b016-84e28bfd966d"
 DiffEqOperators = "9fdde737-9c7f-55bf-ade8-46b3f136cc48"
-DiffEqProblemLibrary = "a077e3f3-b75c-5d7f-a0c6-6bc4c8ec64a9"
 LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
 ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
+SDEProblemLibrary = "c72e72a9-a271-4b2b-8966-303ed956772e"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["DiffEqCallbacks", "DiffEqDevTools", "DiffEqOperators", "DiffEqProblemLibrary", "LinearSolve", "ModelingToolkit", "Pkg", "SafeTestsets", "SparseArrays", "Statistics", "Test"]
+test = ["DiffEqCallbacks", "DiffEqDevTools", "DiffEqOperators", "SDEProblemLibrary", "LinearSolve", "ModelingToolkit", "Pkg", "SafeTestsets", "SparseArrays", "Statistics", "Test"]
diff --git a/test/adaptive/sde_autostepsize_test.jl b/test/adaptive/sde_autostepsize_test.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_2Dlinear
 Random.seed!(100)
 
 #Let the solver determine the initial stepsize for you!
diff --git a/test/adaptive/sde_linearadaptive_tests.jl b/test/adaptive/sde_linearadaptive_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear, prob_sde_additive, prob_sde_additivesystem
+using SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear, prob_sde_additive, prob_sde_additivesystem
 
 probs = Vector{SDEProblem}(undef, 2)
 add_probs = Vector{SDEProblem}(undef, 2)
@@ -107,4 +106,4 @@ end
 u0 = [1.0, 1.0]
 prob = SDEProblem(f, g, u0, (0.0, 10.0))
 
-sol = solve(prob, SKenCarp())
+sol = solve(prob, SKenCarp())
diff --git a/test/adaptive/sde_lorenzattractor_tests.jl b/test/adaptive/sde_lorenzattractor_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_lorenz
+using SDEProblemLibrary: prob_sde_lorenz
 Random.seed!(100)
 prob = prob_sde_lorenz
 
diff --git a/test/adaptive/sde_twodimlinearadaptive_tests.jl b/test/adaptive/sde_twodimlinearadaptive_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_2Dlinear
 Random.seed!(100)
 prob = prob_sde_2Dlinear
 
diff --git a/test/composite_algorithm_test.jl b/test/composite_algorithm_test.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
 prob = prob_sde_2Dlinear
 choice_function(integrator) = (Int(integrator.t<0.5) + 1)
 alg_double = StochasticCompositeAlgorithm((SRIW1(),SRIW1()),choice_function)
diff --git a/test/oval2_single.jl b/test/oval2_single.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: oval2ModelExample
+using SDEProblemLibrary: oval2ModelExample
 Random.seed!(200)
 prob = oval2ModelExample(largeFluctuations=true,useBigs=false)
 quick_prob = deepcopy(prob)
diff --git a/test/oval2_test.jl b/test/oval2_test.jl
@@ -1,5 +1,4 @@
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_lorenz, oval2ModelExample
+using SDEProblemLibrary: prob_sde_lorenz, oval2ModelExample
 
 oval2ModelExample()
 
diff --git a/test/reversal_tests.jl b/test/reversal_tests.jl
@@ -1,8 +1,6 @@
 using StochasticDiffEq, DiffEqNoiseProcess, Test, Random
 using Random
-using DiffEqProblemLibrary.SDEProblemLibrary
-# load problems
-SDEProblemLibrary.importsdeproblems()
+using SDEProblemLibrary
 # automatically construct SDE transformation for Ito reversal
 using ModelingToolkit
 
diff --git a/test/saveat_tests.jl b/test/saveat_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
 Random.seed!(100)
 prob = prob_sde_linear
 f(u,p,t) = 2u
diff --git a/test/sde/sde_additive_tests.jl b/test/sde/sde_additive_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, DiffEqDevTools, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_additive, prob_sde_additivesystem
+using SDEProblemLibrary: prob_sde_additive, prob_sde_additivesystem
 Random.seed!(100)
 
 println("Bunch of additive solves")
diff --git a/test/sde/sde_convergence_tests.jl b/test/sde/sde_convergence_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, DiffEqDevTools, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_wave, prob_sde_cubic, prob_sde_additive
+using SDEProblemLibrary: prob_sde_wave, prob_sde_cubic, prob_sde_additive
 Random.seed!(100)
 dts = (1/2) .^ (10:-1:2) #14->7 good plot
 
diff --git a/test/sde/sde_linear_tests.jl b/test/sde/sde_linear_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, DiffEqDevTools, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear
+using SDEProblemLibrary: prob_sde_linear
 Random.seed!(100)
 prob = prob_sde_linear
 
diff --git a/test/sde/sde_twodimlinear_tests.jl b/test/sde/sde_twodimlinear_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random, DiffEqDevTools
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_2Dlinear
 Random.seed!(100)
 prob = prob_sde_2Dlinear
 
diff --git a/test/stiffness_detection_test.jl b/test/stiffness_detection_test.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_stiffquadito
+using SDEProblemLibrary: prob_sde_stiffquadito
 
 Random.seed!(100)
 prob = prob_sde_stiffquadito
diff --git a/test/stratonovich_convergence_tests.jl b/test/stratonovich_convergence_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random, DiffEqDevTools
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear_stratonovich, prob_sde_2Dlinear_stratonovich
+using SDEProblemLibrary: prob_sde_linear_stratonovich, prob_sde_2Dlinear_stratonovich
 Random.seed!(100)
 dts = 1 ./2 .^(10:-1:2) #14->7 good plot
 
diff --git a/test/tdir_tests.jl b/test/tdir_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random, DiffEqNoiseProcess
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
 
 Random.seed!(100)
 
diff --git a/test/tolerances_tests.jl b/test/tolerances_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_2Dlinear
 
 #=
 function f(u,p,t)
diff --git a/test/tstops_tests.jl b/test/tstops_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear
+using SDEProblemLibrary: prob_sde_linear
 Random.seed!(100)
 prob = prob_sde_linear
 
diff --git a/test/unrolled_comparison_tests.jl b/test/unrolled_comparison_tests.jl
@@ -1,6 +1,5 @@
 using StochasticDiffEq, DiffEqDevTools, Test, Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems; importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_linear, prob_sde_2Dlinear
 prob = prob_sde_linear
 
 Random.seed!(100)
diff --git a/test/weak_convergence/additive_weak.jl b/test/weak_convergence/additive_weak.jl
@@ -1,8 +1,6 @@
 using StochasticDiffEq, DiffEqDevTools, Test
 using Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems
-importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_additive
+using SDEProblemLibrary: prob_sde_additive
 Random.seed!(100)
 
 dts = 1 .//2 .^(7:-1:3) #14->7 good plot
diff --git a/test/weak_convergence/multidim_iip_weak.jl b/test/weak_convergence/multidim_iip_weak.jl
@@ -1,8 +1,6 @@
 using StochasticDiffEq, DiffEqDevTools, Test
 using Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems
-importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_2Dlinear
+using SDEProblemLibrary: prob_sde_2Dlinear
 Random.seed!(100)
 dts = 1 .//2 .^(7:-1:3) #14->7 good plot
 
diff --git a/test/weak_convergence/oop_weak.jl b/test/weak_convergence/oop_weak.jl
@@ -1,8 +1,6 @@
 using StochasticDiffEq, DiffEqDevTools, Test
 using Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems
-importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear
+using SDEProblemLibrary: prob_sde_linear
 Random.seed!(100)
 dts = 1 .//2 .^(7:-1:3) #14->7 good plot
 
diff --git a/test/weak_convergence/weak_srockc2.jl b/test/weak_convergence/weak_srockc2.jl
@@ -1,8 +1,6 @@
 using StochasticDiffEq, DiffEqDevTools, Test
 using Random
-using DiffEqProblemLibrary.SDEProblemLibrary: importsdeproblems
-importsdeproblems()
-using DiffEqProblemLibrary.SDEProblemLibrary: prob_sde_linear
+using SDEProblemLibrary: prob_sde_linear
 
 f_linear_iip(du,u,p,t) = @.(du = 1.01*u)
 σ_linear_iip(du,u,p,t) = @.(du = 0.87*u)
