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Merge pull request #214 from sebapersson/version3
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Only use needed OrdinaryDiffEq packages
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@sebapersson
sebapersson authored Sep 30, 2024
2 parents 5c53ecc + 39a750d commit 2fbf586
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12 changes: 9 additions & 3 deletions Project.toml
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Expand Up @@ -21,7 +21,9 @@ ModelingToolkit = "961ee093-0014-501f-94e3-6117800e7a78"
NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
OrdinaryDiffEqBDF = "6ad6398a-0878-4a85-9266-38940aa047c8"
OrdinaryDiffEqRosenbrock = "43230ef6-c299-4910-a778-202eb28ce4ce"
OrdinaryDiffEqSDIRK = "2d112036-d095-4a1e-ab9a-08536f3ecdbf"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PreallocationTools = "d236fae5-4411-538c-8e31-a6e3d9e00b46"
PrecompileTools = "aea7be01-6a6a-4083-8856-8a6e6704d82a"
Expand Down Expand Up @@ -86,7 +88,10 @@ NonlinearSolve = "3"
Optim = "1"
Optimization = "3"
OptimizationOptimJL = "0.2"
OrdinaryDiffEq = "6"
OrdinaryDiffEq = "6.0"
OrdinaryDiffEqBDF = "1.0"
OrdinaryDiffEqRosenbrock = "1.0"
OrdinaryDiffEqSDIRK = "1.0"
Plots = "1"
PreallocationTools = "0.4"
PrecompileTools = "1"
Expand Down Expand Up @@ -121,11 +126,12 @@ MCMCChains = "c7f686f2-ff18-58e9-bc7b-31028e88f75d"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
Optimization = "7f7a1694-90dd-40f0-9382-eb1efda571ba"
OptimizationOptimJL = "36348300-93cb-4f02-beb5-3c3902f8871e"
OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"
SciMLSensitivity = "1ed8b502-d754-442c-8d5d-10ac956f44a1"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
test = ["Aqua", "Bijectors", "Test", "SafeTestsets", "SciMLSensitivity", "Ipopt", "Optim", "Plots", "Optimization", "OptimizationOptimJL", "FiniteDifferences", "PyCall", "LogDensityProblems", "LogDensityProblemsAD", "AdaptiveMCMC", "AdvancedHMC", "MCMCChains"]
test = ["Aqua", "Bijectors", "Test", "SafeTestsets", "SciMLSensitivity", "Ipopt", "Optim", "Plots", "Optimization", "OptimizationOptimJL", "FiniteDifferences", "PyCall", "LogDensityProblems", "LogDensityProblemsAD", "AdaptiveMCMC", "AdvancedHMC", "MCMCChains", "OrdinaryDiffEq"]
3 changes: 2 additions & 1 deletion ext/PEtabSciMLSensitivityExtension.jl
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Expand Up @@ -3,7 +3,8 @@ module PEtabSciMLSensitivityExtension
using SciMLBase
using ModelingToolkit
using DiffEqCallbacks
using OrdinaryDiffEq
using OrdinaryDiffEqBDF
using OrdinaryDiffEqSDIRK
using ForwardDiff
using ReverseDiff
using SciMLSensitivity
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4 changes: 3 additions & 1 deletion src/PEtab.jl
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Expand Up @@ -3,7 +3,9 @@ module PEtab
using ModelingToolkit
using CSV
using SciMLBase
using OrdinaryDiffEq
using OrdinaryDiffEqBDF
using OrdinaryDiffEqRosenbrock
using OrdinaryDiffEqSDIRK
using Catalyst
using ComponentArrays
using DataFrames
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2 comments on commit 2fbf586

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Registration pull request created: JuliaRegistries/General/116369

Tip: Release Notes

Did you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
"Release notes:" and it will be added to the registry PR, and if TagBot is installed it will also be added to the
release that TagBot creates. i.e.

@JuliaRegistrator register

Release notes:

## Breaking changes

- blah

To add them here just re-invoke and the PR will be updated.

Tagging

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v3.0.0 -m "<description of version>" 2fbf586b7591191044a164ef84e71e4d96f72577
git push origin v3.0.0

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