New version: ExpressionTreeForge v0.3.1 (#144422)

UUID: 93090ad-0e31-445f-8c8f-44d91f61d7ad
Repo: https://github.com/JuliaSmoothOptimizers/ExpressionTreeForge.jl.git
Tree: 4034e13ce1ec9fad14a7b8e6392550aa6f96c896

Registrator tree SHA: 50f504d641745716a5b3eabaf681d3a4937d2ae3

Author: JuliaRegistrator

E/ExpressionTreeForge/Compat.toml

@@ -42,13 +42,21 @@ NLPModelsJuMP = "0.11.1-0.13.0"
 ADNLPModels = "0.4.0-0.8"
 
 ["0.2 - 0"]
-JuMP = "1"
 MathOptInterface = "1"
+
+["0.2 - 0.3.0"]
+JuMP = "1"
 NLPModelsJuMP = "0.13"
 
 ["0.3 - 0"]
-ADNLPModels = "0.8"
 ForwardDiff = ["0.10", "1"]
 ReverseDiff = "1.14.0 - 1"
-Symbolics = "5 - 6"
 julia = "1.10.0 - 1"
+
+["0.3.0"]
+ADNLPModels = "0.8"
+Symbolics = "5 - 6"
+
+["0.3.1 - 0"]
+LinearAlgebra = "1.10.0 - 1"
+SparseArrays = "1.10.0 - 1"

E/ExpressionTreeForge/Deps.toml

@@ -1,7 +1,5 @@
 [0]
-ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
-JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 MathOptInterface = "b8f27783-ece8-5eb3-8dc8-9495eed66fee"
 ReverseDiff = "37e2e3b7-166d-5795-8a7a-e32c996b4267"
@@ -10,8 +8,12 @@ SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 ["0 - 0.1.2"]
 ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
 
-["0.1.2 - 0"]
+["0 - 0.3.0"]
+ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
+JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
+
+["0.1.2 - 0.3.0"]
 NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e"
 
-["0.1.3 - 0"]
+["0.1.3 - 0.3.0"]
 Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"

E/ExpressionTreeForge/Versions.toml

@@ -27,3 +27,6 @@ git-tree-sha1 = "5cd9c64977a4a4d22d7dfccb3bc8b5192365d9b2"
 
 ["0.3.0"]
 git-tree-sha1 = "ced39a7052b031e677f516999fc216bf490c59ee"
+
+["0.3.1"]
+git-tree-sha1 = "4034e13ce1ec9fad14a7b8e6392550aa6f96c896"

E/ExpressionTreeForge/WeakCompat.toml

@@ -0,0 +1,5 @@
+["0.3.1 - 0"]
+ADNLPModels = "0.8"
+JuMP = "1"
+NLPModelsJuMP = "0.13"
+Symbolics = "6"

E/ExpressionTreeForge/WeakDeps.toml

@@ -0,0 +1,5 @@
+["0.3.1 - 0"]
+ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
+JuMP = "4076af6c-e467-56ae-b986-b466b2749572"
+NLPModelsJuMP = "792afdf1-32c1-5681-94e0-d7bf7a5df49e"
+Symbolics = "0c5d862f-8b57-4792-8d23-62f2024744c7"