Fix downgrade bounds and dataset comparisons

Project.toml

@@ -6,6 +6,7 @@ version = "1.15.1"
 [deps]
 CommonSolve = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
 DataInterpolations = "82cc6244-b520-54b8-b5a6-8a565e85f1d0"
+DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
 DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -27,7 +28,8 @@ Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"
 
 [compat]
 CommonSolve = "0.2"
-DataInterpolations = "4, 5, 6, 7, 8, 9.0"
+DataInterpolations = "8.5, 9.0"
+DataStructures = "0.19"
 DiffEqBase = "6.211, 7"
 DocStringExtensions = "0.7, 0.8, 0.9"
 LinearAlgebra = "1"

lib/DataDrivenLux/Project.toml

@@ -34,17 +34,18 @@ WeightInitializers = "d49dbf32-c5c2-4618-8acc-27bb2598ef2d"
 DataDrivenDiffEq = {path = "../.."}
 
 [compat]
-AbstractDifferentiation = "0.6"
+AbstractDifferentiation = "0.6.2"
 ChainRulesCore = "1.15"
-CommonSolve = "0.2.4"
-ComponentArrays = "0.15"
+CommonSolve = "0.2.6"
+ComponentArrays = "0.15.40"
 ConcreteStructs = "0.2.3"
 DataDrivenDiffEq = "1.15"
+DataStructures = "0.19"
 Distributed = "1.10"
 Distributions = "0.25.123"
 DistributionsAD = "0.6"
 DocStringExtensions = "0.9.3"
-ForwardDiff = "0.10, 1"
+ForwardDiff = "0.10.39, 1"
 IntervalArithmetic = "0.22.10, 0.23, 1"
 InverseFunctions = "0.1"
 LinearAlgebra = "1.10"
@@ -53,7 +54,7 @@ Lux = "1"
 LuxCore = "1"
 Optim = "2"
 Optimisers = "0.3, 0.4"
-OrdinaryDiffEq = "6, 7"
+OrdinaryDiffEq = "6.111, 7"
 Pkg = "1.10"
 ProgressMeter = "1.7"
 Random = "1.10"
@@ -68,6 +69,7 @@ julia = "1.10"
 
 [extras]
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
+DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
@@ -76,4 +78,4 @@ StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Pkg", "Test", "StableRNGs", "Random", "SafeTestsets", "StatsBase", "OrdinaryDiffEq"]
+test = ["Pkg", "Test", "StableRNGs", "Random", "SafeTestsets", "StatsBase", "OrdinaryDiffEq", "DataStructures"]

lib/DataDrivenSR/Project.toml

@@ -13,19 +13,21 @@ DataDrivenDiffEq = {path = "../.."}
 
 [compat]
 DataDrivenDiffEq = "1.15"
+DataStructures = "0.19"
 Pkg = "1.10"
-Reexport = "1.2"
+Reexport = "1.2.2"
 StableRNGs = "1"
 StatsBase = "0.34"
-SymbolicRegression = "1"
+SymbolicRegression = "1.13.2"
 Test = "1.10"
 julia = "1.10"
 
 [extras]
+DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"
 Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Pkg", "Test", "StableRNGs", "StatsBase"]
+test = ["Pkg", "Test", "StableRNGs", "StatsBase", "DataStructures"]

lib/DataDrivenSparse/Project.toml

@@ -19,7 +19,7 @@ OrdinaryDiffEq = "6, 7"
 Pkg = "1.10"
 Printf = "1.10"
 Random = "1.10"
-Reexport = "1.2"
+Reexport = "1.2.2"
 SafeTestsets = "0.1"
 StableRNGs = "1"
 StatsBase = "0.34"

test/Core/problem.jl

@@ -156,10 +156,12 @@ end
     @variables x[1:size(X, 1)]
     b = Basis(x, x)
     @test b(s1) == hcat(b(p1), b(p2))
-    @test b(s2) == b(s1)
+    # Dataset constructors can evaluate the same symbolic basis through different
+    # call paths, which only guarantees floating-point agreement up to roundoff.
+    @test b(s2) ≈ b(s1)
     @test hcat(X, X) == b(s3)
     @test hcat(X[:, 1:(end - 1)], X[:, 1:(end - 1)]) == b(s4)
-    @test hcat(X, X, X) == b(s5)
+    @test hcat(X, X, X) ≈ b(s5)
 
     # Check if misspecified data is detected
     wrong_data = (