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ytdHuangytdHuang
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Drop Julia v1.9 (qutip#218)
* drop `Julia v1.9` * fix benchmark * fix links for ODE solver in docstrings
1 parent 4d852a1 commit f556c33

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+185
-299
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‎.github/workflows/CI.yml‎

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matrix:
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# for core tests (latest and oldest supported versions)
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version:
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- '1.7' # oldest
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- '1' # latest
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- '1.10' # oldest
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# - '1' # latest
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os:
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- ubuntu-latest
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- windows-latest
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- Core
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include:
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# for core tests on macOS
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- version: '1.7' # oldest (julia v1.7 does not support M-series chip)
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os: 'macOS-13' # Intel chip
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# for core tests on macOS (M-series chip)
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- version: '1.10' # oldest
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os: 'macOS-latest'
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arch: 'x64'
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group: 'Core'
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- version: '1' # latest
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os: 'macOS-latest' # M-series chip
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arch: 'arm64'
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group: 'Core'
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# - version: '1' # latest
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# os: 'macOS-latest'
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# arch: 'arm64'
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# group: 'Core'
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# for core tests (intermediate versions)
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- version: '1.8'
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os: 'ubuntu-latest'
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arch: 'x64'
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group: 'Core'
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- version: '1.9'
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os: 'ubuntu-latest'
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arch: 'x64'
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group: 'Core'
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# - version: '1.x'
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# os: 'ubuntu-latest'
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# arch: 'x64'
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# group: 'Core'
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# for code quality tests
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- version: '1'

‎Project.toml‎

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@@ -5,17 +5,21 @@ version = "0.13.0"
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[deps]
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ArrayInterface = "4fba245c-0d91-5ea0-9b3e-6abc04ee57a9"
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DiffEqBase = "2b5f629d-d688-5b77-993f-72d75c75574e"
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DiffEqCallbacks = "459566f4-90b8-5000-8ac3-15dfb0a30def"
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FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
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Graphs = "86223c79-3864-5bf0-83f7-82e725a168b6"
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IncompleteLU = "40713840-3770-5561-ab4c-a76e7d0d7895"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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LinearMaps = "7a12625a-238d-50fd-b39a-03d52299707e"
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LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
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OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
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OrdinaryDiffEqCore = "bbf590c4-e513-4bbe-9b18-05decba2e5d8"
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OrdinaryDiffEqTsit5 = "b1df2697-797e-41e3-8120-5422d3b24e4a"
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Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
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SciMLBase = "0bca4576-84f4-4d90-8ffe-ffa030f20462"
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SciMLOperators = "c0aeaf25-5076-4817-a8d5-81caf7dfa961"
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SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
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SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
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StaticArraysCore = "1e83bf80-4336-4d27-bf5d-d5a4f845583c"
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[compat]
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ArrayInterface = "6, 7"
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CUDA = "5"
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DiffEqBase = "6"
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DiffEqCallbacks = "2 - 3.1, 3.8"
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FFTW = "1.5"
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Graphs = "1.7"
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IncompleteLU = "0.2"
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LinearAlgebra = "<0.0.1, 1"
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LinearMaps = "3"
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LinearSolve = "2"
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OrdinaryDiffEq = "6"
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OrdinaryDiffEqCore = "1"
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OrdinaryDiffEqTsit5 = "1"
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Pkg = "<0.0.1, 1"
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Random = "<0.0.1, 1"
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Reexport = "1"
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SciMLBase = "2"
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SciMLOperators = "0.3"
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SparseArrays = "<0.0.1, 1"
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SpecialFunctions = "2"
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StaticArraysCore = "1"
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Test = "<0.0.1, 1"
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julia = "1.7"
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julia = "1.10"
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[extras]
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CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"

‎README.md‎

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@@ -68,7 +68,7 @@ QuantumToolbox.jl is equipped with a robust set of features:
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## Installation
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> **_NOTE:_** `QuantumToolbox.jl` requires `Julia 1.7+`.
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> **_NOTE:_** `QuantumToolbox.jl` requires `Julia 1.10+`.
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To install `QuantumToolbox.jl`, run the following commands inside Julia's interactive session (also known as REPL):
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```julia
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```
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Alternatively, this can also be done in Julia's [Pkg REPL](https://julialang.github.io/Pkg.jl/v1/getting-started/) by pressing the key `]` in the REPL to use the package mode, and then type the following command:
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```julia-repl
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(1.7) pkg> add QuantumToolbox
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(1.10) pkg> add QuantumToolbox
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```
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More information about `Julia`'s package manager can be found at [`Pkg.jl`](https://julialang.github.io/Pkg.jl/v1/).
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‎benchmarks/Project.toml‎

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[deps]
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BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
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LinearSolve = "7ed4a6bd-45f5-4d41-b270-4a48e9bafcae"
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OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
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QuantumToolbox = "6c2fb7c5-b903-41d2-bc5e-5a7c320b9fab"

‎benchmarks/runbenchmarks.jl‎

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using BenchmarkTools
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using QuantumToolbox
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using OrdinaryDiffEq
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using LinearSolve
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BLAS.set_num_threads(1)
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‎docs/src/index.md‎

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## [Installation](@id doc:Installation)
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!!! note "Requirements"
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`QuantumToolbox.jl` requires `Julia 1.7+`.
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`QuantumToolbox.jl` requires `Julia 1.10+`.
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To install `QuantumToolbox.jl`, run the following commands inside Julia's interactive session (also known as REPL):
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```julia
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```
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Alternatively, this can also be done in Julia's [Pkg REPL](https://julialang.github.io/Pkg.jl/v1/getting-started/) by pressing the key `]` in the REPL to use the package mode, and then type the following command:
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```julia-REPL
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(1.7) pkg> add QuantumToolbox
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(1.10) pkg> add QuantumToolbox
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```
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More information about `Julia`'s package manager can be found at [`Pkg.jl`](https://julialang.github.io/Pkg.jl/v1/).
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‎docs/src/tutorials/lowrank.md‎

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```@example lowrank
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opt =
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LRMesolveOptions(alg = Tsit5(), err_max = 1e-3, p0 = 0.0, atol_inv = 1e-6, adj_condition = "variational", Δt = 0.0);
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LRMesolveOptions(err_max = 1e-3, p0 = 0.0, atol_inv = 1e-6, adj_condition = "variational", Δt = 0.0);
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@time lrsol = lr_mesolve(H, z, B, tl, c_ops; e_ops = e_ops, f_ops = (f_purity, f_entropy, f_trace), opt = opt);
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```

‎src/QuantumToolbox.jl‎

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module QuantumToolbox
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# Re-export:
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# 1. basic functions in LinearAlgebra and SparseArrays
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# 2. the solvers in ODE and LinearSolve
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# 1. StaticArraysCore.SVector for the type of dims
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# 2. basic functions in LinearAlgebra and SparseArrays
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import Reexport: @reexport
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@reexport import StaticArraysCore: SVector
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@reexport using LinearAlgebra
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@reexport using SparseArrays
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@reexport using OrdinaryDiffEq
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@reexport using LinearSolve
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# other functions in LinearAlgebra
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import LinearAlgebra: BlasReal, BlasInt, BlasFloat, BlasComplex, checksquare
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import LinearAlgebra.BLAS: @blasfunc
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if VERSION < v"1.10"
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import LinearAlgebra: chkstride1
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import LinearAlgebra.BLAS: libblastrampoline
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import LinearAlgebra.LAPACK: chklapackerror
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import Base: require_one_based_indexing
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else
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import LinearAlgebra.LAPACK: hseqr!
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end
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import LinearAlgebra.LAPACK: hseqr!
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# SciML packages (for OrdinaryDiffEq and LinearSolve)
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import SciMLBase:
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solve,
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solve!,
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init,
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reinit!,
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remake,
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u_modified!,
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ODEProblem,
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EnsembleProblem,
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EnsembleThreads,
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FullSpecialize,
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CallbackSet,
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ContinuousCallback,
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DiscreteCallback
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import SciMLOperators: MatrixOperator
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import LinearSolve: LinearSolve, LinearProblem, SciMLLinearSolveAlgorithm, KrylovJL_MINRES, KrylovJL_GMRES
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import DiffEqBase: get_tstops
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import DiffEqCallbacks: PeriodicCallback, PresetTimeCallback, TerminateSteadyState
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import OrdinaryDiffEqCore: OrdinaryDiffEqCore, OrdinaryDiffEqAlgorithm
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import OrdinaryDiffEqTsit5: Tsit5
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# other dependencies (in alphabetical order)
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import ArrayInterface: allowed_getindex, allowed_setindex!
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import DiffEqCallbacks: DiscreteCallback, PeriodicCallback, PresetTimeCallback, TerminateSteadyState
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import FFTW: fft, fftshift
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import Graphs: connected_components, DiGraph
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import IncompleteLU: ilu
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import LinearMaps: LinearMap
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import OrdinaryDiffEq: OrdinaryDiffEqAlgorithm
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import Pkg
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import Random
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import SpecialFunctions: loggamma
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@reexport import StaticArraysCore: SVector
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import StaticArraysCore: MVector
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# Setting the number of threads to 1 allows

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