New version: PEtab v4.0.0 (#146753)

UUID: 48d54b35-e43e-4a66-a5a1-dde6b987cf69
Repo: https://github.com/sebapersson/PEtab.jl.git
Tree: 1df8086e81eb264eac0b4a41e70f6e3a39473e67

Registrator tree SHA: 50f504d641745716a5b3eabaf681d3a4937d2ae3

Author: JuliaRegistrator

P/PEtab/Compat.toml

@@ -28,24 +28,24 @@ SciMLSensitivity = "6-7"
 PyCall = "1"
 Zygote = "0.6"
 
-["1 - 3"]
+["1 - 3.11.2"]
+ForwardDiff = "0.10"
+
+["1 - 3.8.5"]
+Distributions = "0.21-0.25"
+
+["1 - 4"]
 CSV = "0.10"
 PreallocationTools = "0.4"
 ReverseDiff = "1"
 Sundials = "4"
 YAML = "0.4"
 julia = "1"
 
-["1 - 3.11.2"]
-ForwardDiff = "0.10"
-
-["1 - 3.8.5"]
-Distributions = "0.21-0.25"
-
 ["1.0"]
 DataFrames = "1"
 
-["1.1.1 - 3"]
+["1.1.1 - 4"]
 PrecompileTools = "1"
 
 ["1.2 - 1.3"]
@@ -76,13 +76,13 @@ Catalyst = "13"
 Ipopt = "1"
 Plots = "1"
 
-["2 - 3"]
+["2 - 4"]
 DataFrames = "1"
 
 ["2.0.0"]
 SciMLBase = "1"
 
-["2.0.1 - 3"]
+["2.0.1 - 4"]
 SciMLBase = "2"
 
 ["2.0.2 - 2.5.1"]
@@ -91,7 +91,7 @@ NonlinearSolve = "1-2"
 ["2.1.1 - 2.8"]
 Distributed = "1"
 
-["2.1.1 - 3"]
+["2.1.1 - 4"]
 LinearAlgebra = "1"
 Printf = "1"
 Random = "1"
@@ -139,24 +139,19 @@ FiniteDifferences = "0.12"
 SBMLImporter = "0.3"
 SciMLSensitivity = "7"
 
-["2.7 - 3"]
+["2.7 - 3.5.0"]
+NonlinearSolve = "3"
+
+["2.7 - 4"]
 QuasiMonteCarlo = "0.3"
 RuntimeGeneratedFunctions = "0.5"
 StatsBase = "0.34"
 
-["2.7 - 3.5.0"]
-NonlinearSolve = "3"
-
 ["2.9 - 2.10.5"]
 SBMLImporter = "1"
 
 [3]
-ComponentArrays = "0.15"
-OrdinaryDiffEqBDF = "1"
-OrdinaryDiffEqRosenbrock = "1"
-OrdinaryDiffEqSDIRK = "1"
 Plots = "1"
-StyledStrings = "1"
 
 ["3 - 3.1"]
 ModelingToolkit = "9"
@@ -183,43 +178,52 @@ Setfield = "1.1.0-1"
 Ipopt = "1"
 PyCall = "1"
 
+["3 - 4"]
+ComponentArrays = "0.15"
+OrdinaryDiffEqBDF = "1"
+OrdinaryDiffEqRosenbrock = "1"
+OrdinaryDiffEqSDIRK = "1"
+StyledStrings = "1"
+
 ["3.10.3 - 3"]
-LinearSolve = "3.29.0 - 3"
 SBMLImporter = "3.1.0 - 3"
 
-["3.11 - 3"]
+["3.10.3 - 4"]
+LinearSolve = "3.29.0 - 3"
+
+["3.11 - 4"]
 ModelingToolkit = "9.84.0 - 9"
 
-["3.11.3 - 3"]
+["3.11.3 - 4"]
 ForwardDiff = ["0.10", "1"]
 
-["3.2 - 3"]
-Distributed = "1"
-
 ["3.2 - 3.8.3"]
 ModelingToolkit = "9.40.0-9"
 
-["3.3 - 3"]
-DiffEqCallbacks = "4"
+["3.2 - 4"]
+Distributed = "1"
 
 ["3.3 - 3.9"]
 Optimization = "4"
 
+["3.3 - 4"]
+DiffEqCallbacks = "4"
+
 ["3.3.1 - 3.7"]
 SBMLImporter = "2.6.0-2"
 
-["3.5.1 - 3"]
+["3.5.1 - 4"]
 NonlinearSolve = "4"
 
 ["3.5.2 - 3.9"]
 Bijectors = ["0.13", "0.15"]
 
-["3.8 - 3"]
-Catalyst = "15"
-
 ["3.8 - 3.10.2"]
 SBMLImporter = "3"
 
+["3.8 - 4"]
+Catalyst = "15"
+
 ["3.8.4 - 3.8.5"]
 ModelingToolkit = "9.4-9.80.1"
 
@@ -231,9 +235,7 @@ Optim = "1.13.0-1"
 MCMCChains = "7"
 
 ["3.8.6 - 3"]
-ArrayInterface = "7.7.0 - 7"
 Distributions = "0.21 - 0.25"
-Setfield = "1.1.0 - 1"
 
 ["3.8.6 - 3.10"]
 ModelingToolkit = "9.4 - 9.80.1"
@@ -246,5 +248,14 @@ LogDensityProblems = "2.1.0 - 2"
 LogDensityProblemsAD = "1.7.0 - 1"
 Optim = "1.13.0 - 1"
 
-["3.9.4 - 3"]
+["3.8.6 - 4"]
+ArrayInterface = "7.7.0 - 7"
+Setfield = "1.1.0 - 1"
+
+["3.9.4 - 4"]
 DiffEqBase = "6.183.0 - 6"
+
+[4]
+Distributions = "0.25"
+SBMLImporter = "3.2.0 - 3"
+SymbolicIndexingInterface = "0.3.46 - 0.3"

P/PEtab/Deps.toml

@@ -13,7 +13,7 @@ PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
-["1 - 3"]
+["1 - 4"]
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
 DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
@@ -34,13 +34,13 @@ YAML = "ddb6d928-2868-570f-bddf-ab3f9cf99eb6"
 ["1.0"]
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 
-["1.1.1 - 3"]
+["1.1.1 - 4"]
 PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
 
 ["1.2 - 2.8"]
 Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 
-["1.2 - 3"]
+["1.2 - 4"]
 QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
 
 ["1.4 - 2.3"]
@@ -56,11 +56,11 @@ SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 
-["2 - 3"]
+["2 - 4"]
 Catalyst = "479239e8-5488-4da2-87a7-35f2df7eef83"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 
-["2.11 - 3"]
+["2.11 - 4"]
 ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
 
 ["2.12 - 3.9"]
@@ -71,17 +71,11 @@ LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
 ["2.3 - 2.8"]
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
 
-["2.4 - 3"]
+["2.4 - 4"]
 SBMLImporter = "210efffb-c3c8-456d-a807-6f55560b12fe"
 
 [3]
-ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
-OrdinaryDiffEqBDF = "6ad6398a-0878-4a85-9266-38940aa047c8"
-OrdinaryDiffEqRosenbrock = "43230ef6-c299-4910-a778-202eb28ce4ce"
-OrdinaryDiffEqSDIRK = "2d112036-d095-4a1e-ab9a-08536f3ecdbf"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
-Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
-StyledStrings = "f489334b-da3d-4c2e-b8f0-e476e12c162b"
 
 ["3 - 3.7"]
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
@@ -93,11 +87,22 @@ Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
 PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 
-["3.2 - 3"]
+["3 - 4"]
+ComponentArrays = "b0b7db55-cfe3-40fc-9ded-d10e2dbeff66"
+OrdinaryDiffEqBDF = "6ad6398a-0878-4a85-9266-38940aa047c8"
+OrdinaryDiffEqRosenbrock = "43230ef6-c299-4910-a778-202eb28ce4ce"
+OrdinaryDiffEqSDIRK = "2d112036-d095-4a1e-ab9a-08536f3ecdbf"
+Setfield = "efcf1570-3423-57d1-acb7-fd33fddbac46"
+StyledStrings = "f489334b-da3d-4c2e-b8f0-e476e12c162b"
+
+["3.2 - 4"]
 Distributed = "8ba89e20-285c-5b6f-9357-94700520ee1b"
 
-["3.8.5 - 3"]
+["3.8.5 - 4"]
 LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
 
-["3.9.4 - 3"]
+["3.9.4 - 4"]
 DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
+
+[4]
+SymbolicIndexingInterface = "2efcf032-c050-4f8e-a9bb-153293bab1f5"

P/PEtab/Versions.toml

@@ -264,3 +264,6 @@ git-tree-sha1 = "541f8715dee5b1f803efee7466e5eda642da2469"
 
 ["3.11.3"]
 git-tree-sha1 = "27c86cfbe857d9f6e7f6871eb1d0b53d05e12220"
+
+["4.0.0"]
+git-tree-sha1 = "1df8086e81eb264eac0b4a41e70f6e3a39473e67"

P/PEtab/WeakCompat.toml

@@ -16,7 +16,7 @@ Optim = "1"
 ["2 - 2.6"]
 Catalyst = "13"
 
-["2 - 3"]
+["2 - 4"]
 Ipopt = "1"
 Plots = "1"
 
@@ -45,10 +45,10 @@ SciMLSensitivity = "7"
 ["3 - 3.8.1"]
 SciMLSensitivity = "7.60.0-7"
 
-["3.3 - 3"]
+["3.3 - 4"]
 Optimization = "4"
 
-["3.5.2 - 3"]
+["3.5.2 - 4"]
 Bijectors = ["0.13", "0.15"]
 
 ["3.8.2 - 3.8.5"]
@@ -57,11 +57,15 @@ SciMLSensitivity = "7.81.0-7"
 ["3.8.5"]
 Optim = "1.13.0-1"
 
-["3.8.5 - 3"]
+["3.8.5 - 4"]
 MCMCChains = "7"
 
-["3.8.6 - 3"]
+["3.8.6 - 4"]
 LogDensityProblems = "2.1.0 - 2"
 LogDensityProblemsAD = "1.7.0 - 1"
 Optim = "1.13.0 - 1"
 SciMLSensitivity = "7.81.0 - 7"
+
+[4]
+Fides = "1.1.0 - 1"
+PEtabSelect = "0.1"

P/PEtab/WeakDeps.toml

@@ -1,24 +1,26 @@
 ["1.3 - 2"]
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
-["1.3 - 3"]
+["1.3 - 4"]
 SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
 
 ["1.4 - 1"]
 QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
 
 ["1.4 - 3"]
-Optim = "429524aa-4258-5aef-a3af-852621145aeb"
 PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
 
+["1.4 - 4"]
+Optim = "429524aa-4258-5aef-a3af-852621145aeb"
+
 ["2 - 2.6"]
 Catalyst = "479239e8-5488-4da2-87a7-35f2df7eef83"
 
-["2 - 3"]
+["2 - 4"]
 Ipopt = "b6b21f68-93f8-5de0-b562-5493be1d77c9"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 
-["2.12 - 3"]
+["2.12 - 4"]
 Bijectors = "76274a88-744f-5084-9051-94815aaf08c4"
 LogDensityProblems = "6fdf6af0-433a-55f7-b3ed-c6c6e0b8df7c"
 LogDensityProblemsAD = "996a588d-648d-4e1f-a8f0-a84b347e47b1"
@@ -27,5 +29,9 @@ MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
 ["2.14 - 2"]
 Pigeons = "0eb8d820-af6a-4919-95ae-11206f830c31"
 
-["2.3 - 3"]
+["2.3 - 4"]
 Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
+
+[4]
+Fides = "18b51ec4-043b-11f0-1953-6f1d11d509fa"
+PEtabSelect = "6de2f99a-1d3e-11f0-2fac-936eab9aa55b"