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OrdinaryDiffEqBDF requirement from 1.18.0 to 1.18.0, 2.0","user":"dependabot[bot]","labels":["dependencies","julia"],"assignees":[],"locked":false,"comments_count":2,"pull_request":true,"closed_at":"2026-05-03T12:13:07.000Z","author_association":null,"state_reason":null,"created_at":"2026-04-29T11:12:53.000Z","updated_at":"2026-05-03T12:13:15.000Z","time_to_close":349214,"merged_at":null,"merged_by":null,"closed_by":null,"dependency_metadata":{"prefix":"Update","packages":[{"name":"OrdinaryDiffEqBDF","old_version":"1.18.0","new_version":"1.18.0, 2.0","repository_url":"https://github.com/SciML/OrdinaryDiffEq.jl"}],"path":null,"ecosystem":"julia"},"body":"Updates the requirements on [OrdinaryDiffEqBDF](https://github.com/SciML/OrdinaryDiffEq.jl) to permit the latest version.\n\u003cdetails\u003e\n\u003csummary\u003eChangelog\u003c/summary\u003e\n\u003cp\u003e\u003cem\u003eSourced from \u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md\"\u003eOrdinaryDiffEqBDF's changelog\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n\u003cblockquote\u003e\n\u003ch1\u003eOrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes\u003c/h1\u003e\n\u003cp\u003eThis release bumps to \u003cstrong\u003eSciMLBase v3\u003c/strong\u003e, \u003cstrong\u003eRecursiveArrayTools v4\u003c/strong\u003e, and includes breaking changes across \u003cstrong\u003eDiffEqBase\u003c/strong\u003e, \u003cstrong\u003eOrdinaryDiffEqCore\u003c/strong\u003e, and all solver sublibraries. It also coincides with the \u003cstrong\u003eDifferentialEquations.jl v8\u003c/strong\u003e umbrella release, which is itself a breaking change to the user-facing meta-package.\u003c/p\u003e\n\u003ch2\u003eDifferentialEquations.jl v8: scope reduction\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ccode\u003eDifferentialEquations.jl\u003c/code\u003e v8 no longer re-exports the full SciML solver suite.\u003c/strong\u003e Previously, \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e pulled in \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e, \u003ccode\u003eStochasticDiffEq\u003c/code\u003e, \u003ccode\u003eDelayDiffEq\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEq\u003c/code\u003e, \u003ccode\u003eSundials\u003c/code\u003e, \u003ccode\u003eJumpProcesses\u003c/code\u003e, \u003ccode\u003eSteadyStateDiffEq\u003c/code\u003e, \u003ccode\u003eLinearSolve\u003c/code\u003e, \u003ccode\u003eNonlinearSolve\u003c/code\u003e, \u003ccode\u003eOptimization\u003c/code\u003e, etc. — a large default surface that drove up \u003ccode\u003eusing\u003c/code\u003e time and made it unclear which package any given solver actually came from.\u003c/p\u003e\n\u003cp\u003eIn v8, \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e only loads \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e. \u003cstrong\u003eAll other solver families have been removed from the umbrella.\u003c/strong\u003e If your code relied on \u003ccode\u003eDifferentialEquations\u003c/code\u003e for SDEs, DDEs, BVPs, jumps, steady states, or any non-ODE solver, you will need to add the topic-specific package to your project explicitly.\u003c/p\u003e\n\u003ch3\u003eMigration\u003c/h3\u003e\n\u003cp\u003eFind the topic you need a solver for and add the corresponding sublib(s) directly. The \u003ca href=\"https://docs.sciml.ai/DiffEqDocs/stable/\"\u003eDiffEqDocs\u003c/a\u003e tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:\u003c/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eTopic\u003c/th\u003e\n\u003cth\u003eOld (DiffEq v7 umbrella)\u003c/th\u003e\n\u003cth\u003eNew (DiffEq v8)\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e (or \u003ccode\u003eusing OrdinaryDiffEqTsit5\u003c/code\u003e, \u003ccode\u003eOrdinaryDiffEqRosenbrock\u003c/code\u003e, … for individual solver families)\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStochastic ODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing StochasticDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelay ODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DelayDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoundary value problems\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing BoundaryValueDiffEq\u003c/code\u003e (or one of \u003ccode\u003eBoundaryValueDiffEqMIRK\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEqFIRK\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEqShooting\u003c/code\u003e, …)\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJump processes\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing JumpProcesses\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSteady state\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing SteadyStateDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDAEs (mass matrix or implicit)\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e (mass matrix), \u003ccode\u003eusing Sundials\u003c/code\u003e (\u003ccode\u003eIDA\u003c/code\u003e), or topic sublib\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSundials wrappers (CVODE, IDA, ARKODE)\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing Sundials\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLinear / nonlinear / optimization\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing LinearSolve\u003c/code\u003e / \u003ccode\u003eusing NonlinearSolve\u003c/code\u003e / \u003ccode\u003eusing Optimization\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eFor ODE work specifically, prefer importing only the sublib you need (e.g. \u003ccode\u003eusing OrdinaryDiffEqTsit5: Tsit5\u003c/code\u003e) rather than the umbrella \u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e — the v7 ecosystem split lets you trim \u003ccode\u003eusing\u003c/code\u003e time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.\u003c/p\u003e\n\u003ch3\u003eWhy\u003c/h3\u003e\n\u003cp\u003eRemoving the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.\u003c/p\u003e\n\u003cp\u003eThis change is independent of the \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 changes below — \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 ships with \u003ccode\u003eDifferentialEquations\u003c/code\u003e v8, but you can also use \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 directly without the umbrella package at all.\u003c/p\u003e\n\u003ch1\u003eOrdinaryDiffEq.jl v7 Breaking Changes\u003c/h1\u003e\n\u003cp\u003eThis release bumps to \u003cstrong\u003eSciMLBase v3\u003c/strong\u003e, \u003cstrong\u003eRecursiveArrayTools v4\u003c/strong\u003e, and includes breaking changes across \u003cstrong\u003eDiffEqBase\u003c/strong\u003e, \u003cstrong\u003eOrdinaryDiffEqCore\u003c/strong\u003e, and all solver sublibraries.\u003c/p\u003e\n\u003ch2\u003eThemes of the v7 release\u003c/h2\u003e\n\u003cp\u003eMost of the breaking changes fall into a small set of recurring themes. Keep these in mind while reading the migration table — they explain why an individual change exists and often suggest the right migration direction:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eTime to first solve (TTFS) reduction.\u003c/strong\u003e Direct deps on \u003ccode\u003eStatic.jl\u003c/code\u003e, \u003ccode\u003eStaticArrayInterface.jl\u003c/code\u003e, \u003ccode\u003ePolyester.jl\u003c/code\u003e, and \u003ccode\u003eStaticArrays.jl\u003c/code\u003e were dropped; \u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e now loads only the default solver set; \u003ccode\u003eODEFunction\u003c/code\u003e switched to \u003ccode\u003eAutoSpecialize\u003c/code\u003e. All of this means less code loaded and more precompilation caching on first \u003ccode\u003esolve\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eType stability everywhere.\u003c/strong\u003e All \u003ccode\u003eBool\u003c/code\u003e solver/\u003ccode\u003esolve\u003c/code\u003e keyword arguments (\u003ccode\u003eautodiff\u003c/code\u003e, \u003ccode\u003everbose\u003c/code\u003e, \u003ccode\u003ealias\u003c/code\u003e, \u003ccode\u003elazy\u003c/code\u003e, …) were replaced by typed objects. Passing a \u003ccode\u003eBool\u003c/code\u003e no longer changes dispatch in ways the compiler cannot specialize on, and the reverse is no longer allowed to silently fall back through slow generic paths.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGenerality beyond ForwardDiff.\u003c/strong\u003e \u003ccode\u003echunk_size\u003c/code\u003e, \u003ccode\u003ediff_type\u003c/code\u003e, \u003ccode\u003estandardtag\u003c/code\u003e, etc. encoded ForwardDiff-specific or FiniteDiff-specific knobs on every solver. They are replaced by the \u003ccode\u003eADTypes\u003c/code\u003e interface (\u003ccode\u003eAutoForwardDiff\u003c/code\u003e, \u003ccode\u003eAutoFiniteDiff\u003c/code\u003e, \u003ccode\u003eAutoEnzyme\u003c/code\u003e, \u003ccode\u003eAutoZygote\u003c/code\u003e, …) so every solver automatically generalizes to any AD backend.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eController is now an object, not a pile of \u003ccode\u003esolve\u003c/code\u003e kwargs.\u003c/strong\u003e \u003ccode\u003egamma\u003c/code\u003e, \u003ccode\u003ebeta1\u003c/code\u003e, \u003ccode\u003ebeta2\u003c/code\u003e, \u003ccode\u003eqmin\u003c/code\u003e, \u003ccode\u003eqmax\u003c/code\u003e, \u003ccode\u003eqsteady_min\u003c/code\u003e, \u003ccode\u003eqsteady_max\u003c/code\u003e, \u003ccode\u003eqoldinit\u003c/code\u003e were moved onto concrete \u003ccode\u003ePIController\u003c/code\u003e / \u003ccode\u003ePIDController\u003c/code\u003e / \u003ccode\u003eIController\u003c/code\u003e / \u003ccode\u003ePredictiveController\u003c/code\u003e structs, and \u003ccode\u003eEEst\u003c/code\u003e moved to the controller cache. This is prep work for pluggable controllers and removes a large amount of dead state from the integrator struct.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCleanup of old re-exports / deprecations.\u003c/strong\u003e Functions like \u003ccode\u003ehas_destats\u003c/code\u003e (now \u003ccode\u003ehas_stats\u003c/code\u003e), \u003ccode\u003esol.destats\u003c/code\u003e (now \u003ccode\u003esol.stats\u003c/code\u003e), \u003ccode\u003eDEAlgorithm\u003c/code\u003e/\u003ccode\u003eDEProblem\u003c/code\u003e/\u003ccode\u003eDESolution\u003c/code\u003e abstract types, \u003ccode\u003etuples()\u003c/code\u003e/\u003ccode\u003eintervals()\u003c/code\u003e, \u003ccode\u003eQuadratureProblem\u003c/code\u003e, \u003ccode\u003efastpow\u003c/code\u003e, \u003ccode\u003econcrete_solve\u003c/code\u003e, etc. were on a deprecation path for one or more minor releases. v7 removes them.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eRecommended upgrade path\u003c/h2\u003e\n\u003c!-- raw HTML omitted --\u003e\n\u003c/blockquote\u003e\n\u003cp\u003e... (truncated)\u003c/p\u003e\n\u003c/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCommits\u003c/summary\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/095ecbfbf7746e6fb65ce2582d496d82226f10e6\"\u003e\u003ccode\u003e095ecbf\u003c/code\u003e\u003c/a\u003e fix for constant transfer\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/d48aa887659b74067cb829348d8d300a1d2b8ecc\"\u003e\u003ccode\u003ed48aa88\u003c/code\u003e\u003c/a\u003e small fixes for \u003ccode\u003eFun\u003c/code\u003e types\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/83c7872a97a343f0e9e66a0bf33781532c5bf8b7\"\u003e\u003ccode\u003e83c7872\u003c/code\u003e\u003c/a\u003e some little fixes\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/c59fe03d799e91b94a62ad1ffea1fed9baa893bf\"\u003e\u003ccode\u003ec59fe03\u003c/code\u003e\u003c/a\u003e default stability check only for floats\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/cf24ab83d8bff3563a2a3b469d20682bc7ef47d2\"\u003e\u003ccode\u003ecf24ab8\u003c/code\u003e\u003c/a\u003e fix invalid subtyping\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/b901d941fb11588406eb7aeb65d7955450cba18d\"\u003e\u003ccode\u003eb901d94\u003c/code\u003e\u003c/a\u003e allow tuple errors\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/b9df25d54f3a6b092750aeffb36b414c6c8e17d7\"\u003e\u003ccode\u003eb9df25d\u003c/code\u003e\u003c/a\u003e more robust test\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/426c1b6467378f08ea55c2673d217b37501f3de6\"\u003e\u003ccode\u003e426c1b6\u003c/code\u003e\u003c/a\u003e Merge branch 'test_release'\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/eae99da9927e8afcd1c77126f2a1117241d32417\"\u003e\u003ccode\u003eeae99da\u003c/code\u003e\u003c/a\u003e add 1.0.0 requirement\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/dd10dadf9072430e0df8b8b93c409a743c4168e2\"\u003e\u003ccode\u003edd10dad\u003c/code\u003e\u003c/a\u003e out of place jacobians in rosenbrock\u003c/li\u003e\n\u003cli\u003eAdditional commits viewable in \u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/compare/v1.18.0...v2.0.0\"\u003ecompare view\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/details\u003e\n\u003cbr /\u003e\n\n\nDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`.\n\n[//]: # (dependabot-automerge-start)\n[//]: # (dependabot-automerge-end)\n\n---\n\n\u003cdetails\u003e\n\u003csummary\u003eDependabot commands and options\u003c/summary\u003e\n\u003cbr /\u003e\n\nYou can trigger Dependabot actions by commenting on this PR:\n- `@dependabot rebase` will rebase this PR\n- `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it\n- `@dependabot show \u003cdependency name\u003e ignore conditions` will show all of the ignore conditions of the specified dependency\n- `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)\n- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)\n- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)\n\n\n\u003c/details\u003e","html_url":"https://github.com/OpenSourceAWE/KiteModels.jl/pull/275","url":"https://dependabot.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenSourceAWE%2FKiteModels.jl/issues/275","packages_url":"https://dependabot.ecosyste.ms/api/v1/issues/275/packages"}],"issue_packages":[{"old_version":"1.18.0","new_version":"1.18.0, 2.0","update_type":null,"path":null,"pr_created_at":"2026-04-29T11:12:53.000Z","version_change":"1.18.0 → 1.18.0, 2.0","issue":{"uuid":"4350042967","node_id":"PR_kwDOGnSxts7Wr6lk","number":275,"state":"closed","title":"Update OrdinaryDiffEqBDF requirement from 1.18.0 to 1.18.0, 2.0","user":"dependabot[bot]","labels":["dependencies","julia"],"assignees":[],"locked":false,"comments_count":2,"pull_request":true,"closed_at":"2026-05-03T12:13:07.000Z","author_association":null,"state_reason":null,"created_at":"2026-04-29T11:12:53.000Z","updated_at":"2026-05-03T12:13:15.000Z","time_to_close":349214,"merged_at":null,"merged_by":null,"closed_by":null,"dependency_metadata":{"prefix":"Update","packages":[{"name":"OrdinaryDiffEqBDF","old_version":"1.18.0","new_version":"1.18.0, 2.0","repository_url":"https://github.com/SciML/OrdinaryDiffEq.jl"}],"path":null,"ecosystem":"julia"},"body":"Updates the requirements on [OrdinaryDiffEqBDF](https://github.com/SciML/OrdinaryDiffEq.jl) to permit the latest version.\n\u003cdetails\u003e\n\u003csummary\u003eChangelog\u003c/summary\u003e\n\u003cp\u003e\u003cem\u003eSourced from \u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md\"\u003eOrdinaryDiffEqBDF's changelog\u003c/a\u003e.\u003c/em\u003e\u003c/p\u003e\n\u003cblockquote\u003e\n\u003ch1\u003eOrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes\u003c/h1\u003e\n\u003cp\u003eThis release bumps to \u003cstrong\u003eSciMLBase v3\u003c/strong\u003e, \u003cstrong\u003eRecursiveArrayTools v4\u003c/strong\u003e, and includes breaking changes across \u003cstrong\u003eDiffEqBase\u003c/strong\u003e, \u003cstrong\u003eOrdinaryDiffEqCore\u003c/strong\u003e, and all solver sublibraries. It also coincides with the \u003cstrong\u003eDifferentialEquations.jl v8\u003c/strong\u003e umbrella release, which is itself a breaking change to the user-facing meta-package.\u003c/p\u003e\n\u003ch2\u003eDifferentialEquations.jl v8: scope reduction\u003c/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003ccode\u003eDifferentialEquations.jl\u003c/code\u003e v8 no longer re-exports the full SciML solver suite.\u003c/strong\u003e Previously, \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e pulled in \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e, \u003ccode\u003eStochasticDiffEq\u003c/code\u003e, \u003ccode\u003eDelayDiffEq\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEq\u003c/code\u003e, \u003ccode\u003eSundials\u003c/code\u003e, \u003ccode\u003eJumpProcesses\u003c/code\u003e, \u003ccode\u003eSteadyStateDiffEq\u003c/code\u003e, \u003ccode\u003eLinearSolve\u003c/code\u003e, \u003ccode\u003eNonlinearSolve\u003c/code\u003e, \u003ccode\u003eOptimization\u003c/code\u003e, etc. — a large default surface that drove up \u003ccode\u003eusing\u003c/code\u003e time and made it unclear which package any given solver actually came from.\u003c/p\u003e\n\u003cp\u003eIn v8, \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e only loads \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e. \u003cstrong\u003eAll other solver families have been removed from the umbrella.\u003c/strong\u003e If your code relied on \u003ccode\u003eDifferentialEquations\u003c/code\u003e for SDEs, DDEs, BVPs, jumps, steady states, or any non-ODE solver, you will need to add the topic-specific package to your project explicitly.\u003c/p\u003e\n\u003ch3\u003eMigration\u003c/h3\u003e\n\u003cp\u003eFind the topic you need a solver for and add the corresponding sublib(s) directly. The \u003ca href=\"https://docs.sciml.ai/DiffEqDocs/stable/\"\u003eDiffEqDocs\u003c/a\u003e tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:\u003c/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eTopic\u003c/th\u003e\n\u003cth\u003eOld (DiffEq v7 umbrella)\u003c/th\u003e\n\u003cth\u003eNew (DiffEq v8)\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e (or \u003ccode\u003eusing OrdinaryDiffEqTsit5\u003c/code\u003e, \u003ccode\u003eOrdinaryDiffEqRosenbrock\u003c/code\u003e, … for individual solver families)\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStochastic ODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing StochasticDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDelay ODEs\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DelayDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBoundary value problems\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing BoundaryValueDiffEq\u003c/code\u003e (or one of \u003ccode\u003eBoundaryValueDiffEqMIRK\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEqFIRK\u003c/code\u003e, \u003ccode\u003eBoundaryValueDiffEqShooting\u003c/code\u003e, …)\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eJump processes\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing JumpProcesses\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSteady state\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing SteadyStateDiffEq\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDAEs (mass matrix or implicit)\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e (mass matrix), \u003ccode\u003eusing Sundials\u003c/code\u003e (\u003ccode\u003eIDA\u003c/code\u003e), or topic sublib\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSundials wrappers (CVODE, IDA, ARKODE)\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing Sundials\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLinear / nonlinear / optimization\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing DifferentialEquations\u003c/code\u003e\u003c/td\u003e\n\u003ctd\u003e\u003ccode\u003eusing LinearSolve\u003c/code\u003e / \u003ccode\u003eusing NonlinearSolve\u003c/code\u003e / \u003ccode\u003eusing Optimization\u003c/code\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003eFor ODE work specifically, prefer importing only the sublib you need (e.g. \u003ccode\u003eusing OrdinaryDiffEqTsit5: Tsit5\u003c/code\u003e) rather than the umbrella \u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e — the v7 ecosystem split lets you trim \u003ccode\u003eusing\u003c/code\u003e time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.\u003c/p\u003e\n\u003ch3\u003eWhy\u003c/h3\u003e\n\u003cp\u003eRemoving the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long \u003ccode\u003eusing DifferentialEquations\u003c/code\u003e precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.\u003c/p\u003e\n\u003cp\u003eThis change is independent of the \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 changes below — \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 ships with \u003ccode\u003eDifferentialEquations\u003c/code\u003e v8, but you can also use \u003ccode\u003eOrdinaryDiffEq\u003c/code\u003e v7 directly without the umbrella package at all.\u003c/p\u003e\n\u003ch1\u003eOrdinaryDiffEq.jl v7 Breaking Changes\u003c/h1\u003e\n\u003cp\u003eThis release bumps to \u003cstrong\u003eSciMLBase v3\u003c/strong\u003e, \u003cstrong\u003eRecursiveArrayTools v4\u003c/strong\u003e, and includes breaking changes across \u003cstrong\u003eDiffEqBase\u003c/strong\u003e, \u003cstrong\u003eOrdinaryDiffEqCore\u003c/strong\u003e, and all solver sublibraries.\u003c/p\u003e\n\u003ch2\u003eThemes of the v7 release\u003c/h2\u003e\n\u003cp\u003eMost of the breaking changes fall into a small set of recurring themes. Keep these in mind while reading the migration table — they explain why an individual change exists and often suggest the right migration direction:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eTime to first solve (TTFS) reduction.\u003c/strong\u003e Direct deps on \u003ccode\u003eStatic.jl\u003c/code\u003e, \u003ccode\u003eStaticArrayInterface.jl\u003c/code\u003e, \u003ccode\u003ePolyester.jl\u003c/code\u003e, and \u003ccode\u003eStaticArrays.jl\u003c/code\u003e were dropped; \u003ccode\u003eusing OrdinaryDiffEq\u003c/code\u003e now loads only the default solver set; \u003ccode\u003eODEFunction\u003c/code\u003e switched to \u003ccode\u003eAutoSpecialize\u003c/code\u003e. All of this means less code loaded and more precompilation caching on first \u003ccode\u003esolve\u003c/code\u003e.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eType stability everywhere.\u003c/strong\u003e All \u003ccode\u003eBool\u003c/code\u003e solver/\u003ccode\u003esolve\u003c/code\u003e keyword arguments (\u003ccode\u003eautodiff\u003c/code\u003e, \u003ccode\u003everbose\u003c/code\u003e, \u003ccode\u003ealias\u003c/code\u003e, \u003ccode\u003elazy\u003c/code\u003e, …) were replaced by typed objects. Passing a \u003ccode\u003eBool\u003c/code\u003e no longer changes dispatch in ways the compiler cannot specialize on, and the reverse is no longer allowed to silently fall back through slow generic paths.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eGenerality beyond ForwardDiff.\u003c/strong\u003e \u003ccode\u003echunk_size\u003c/code\u003e, \u003ccode\u003ediff_type\u003c/code\u003e, \u003ccode\u003estandardtag\u003c/code\u003e, etc. encoded ForwardDiff-specific or FiniteDiff-specific knobs on every solver. They are replaced by the \u003ccode\u003eADTypes\u003c/code\u003e interface (\u003ccode\u003eAutoForwardDiff\u003c/code\u003e, \u003ccode\u003eAutoFiniteDiff\u003c/code\u003e, \u003ccode\u003eAutoEnzyme\u003c/code\u003e, \u003ccode\u003eAutoZygote\u003c/code\u003e, …) so every solver automatically generalizes to any AD backend.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eController is now an object, not a pile of \u003ccode\u003esolve\u003c/code\u003e kwargs.\u003c/strong\u003e \u003ccode\u003egamma\u003c/code\u003e, \u003ccode\u003ebeta1\u003c/code\u003e, \u003ccode\u003ebeta2\u003c/code\u003e, \u003ccode\u003eqmin\u003c/code\u003e, \u003ccode\u003eqmax\u003c/code\u003e, \u003ccode\u003eqsteady_min\u003c/code\u003e, \u003ccode\u003eqsteady_max\u003c/code\u003e, \u003ccode\u003eqoldinit\u003c/code\u003e were moved onto concrete \u003ccode\u003ePIController\u003c/code\u003e / \u003ccode\u003ePIDController\u003c/code\u003e / \u003ccode\u003eIController\u003c/code\u003e / \u003ccode\u003ePredictiveController\u003c/code\u003e structs, and \u003ccode\u003eEEst\u003c/code\u003e moved to the controller cache. This is prep work for pluggable controllers and removes a large amount of dead state from the integrator struct.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eCleanup of old re-exports / deprecations.\u003c/strong\u003e Functions like \u003ccode\u003ehas_destats\u003c/code\u003e (now \u003ccode\u003ehas_stats\u003c/code\u003e), \u003ccode\u003esol.destats\u003c/code\u003e (now \u003ccode\u003esol.stats\u003c/code\u003e), \u003ccode\u003eDEAlgorithm\u003c/code\u003e/\u003ccode\u003eDEProblem\u003c/code\u003e/\u003ccode\u003eDESolution\u003c/code\u003e abstract types, \u003ccode\u003etuples()\u003c/code\u003e/\u003ccode\u003eintervals()\u003c/code\u003e, \u003ccode\u003eQuadratureProblem\u003c/code\u003e, \u003ccode\u003efastpow\u003c/code\u003e, \u003ccode\u003econcrete_solve\u003c/code\u003e, etc. were on a deprecation path for one or more minor releases. v7 removes them.\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch2\u003eRecommended upgrade path\u003c/h2\u003e\n\u003c!-- raw HTML omitted --\u003e\n\u003c/blockquote\u003e\n\u003cp\u003e... (truncated)\u003c/p\u003e\n\u003c/details\u003e\n\u003cdetails\u003e\n\u003csummary\u003eCommits\u003c/summary\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/095ecbfbf7746e6fb65ce2582d496d82226f10e6\"\u003e\u003ccode\u003e095ecbf\u003c/code\u003e\u003c/a\u003e fix for constant transfer\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/d48aa887659b74067cb829348d8d300a1d2b8ecc\"\u003e\u003ccode\u003ed48aa88\u003c/code\u003e\u003c/a\u003e small fixes for \u003ccode\u003eFun\u003c/code\u003e types\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/83c7872a97a343f0e9e66a0bf33781532c5bf8b7\"\u003e\u003ccode\u003e83c7872\u003c/code\u003e\u003c/a\u003e some little fixes\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/c59fe03d799e91b94a62ad1ffea1fed9baa893bf\"\u003e\u003ccode\u003ec59fe03\u003c/code\u003e\u003c/a\u003e default stability check only for floats\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/cf24ab83d8bff3563a2a3b469d20682bc7ef47d2\"\u003e\u003ccode\u003ecf24ab8\u003c/code\u003e\u003c/a\u003e fix invalid subtyping\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/b901d941fb11588406eb7aeb65d7955450cba18d\"\u003e\u003ccode\u003eb901d94\u003c/code\u003e\u003c/a\u003e allow tuple errors\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/b9df25d54f3a6b092750aeffb36b414c6c8e17d7\"\u003e\u003ccode\u003eb9df25d\u003c/code\u003e\u003c/a\u003e more robust test\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/426c1b6467378f08ea55c2673d217b37501f3de6\"\u003e\u003ccode\u003e426c1b6\u003c/code\u003e\u003c/a\u003e Merge branch 'test_release'\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/eae99da9927e8afcd1c77126f2a1117241d32417\"\u003e\u003ccode\u003eeae99da\u003c/code\u003e\u003c/a\u003e add 1.0.0 requirement\u003c/li\u003e\n\u003cli\u003e\u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/commit/dd10dadf9072430e0df8b8b93c409a743c4168e2\"\u003e\u003ccode\u003edd10dad\u003c/code\u003e\u003c/a\u003e out of place jacobians in rosenbrock\u003c/li\u003e\n\u003cli\u003eAdditional commits viewable in \u003ca href=\"https://github.com/SciML/OrdinaryDiffEq.jl/compare/v1.18.0...v2.0.0\"\u003ecompare view\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/details\u003e\n\u003cbr /\u003e\n\n\nDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`.\n\n[//]: # (dependabot-automerge-start)\n[//]: # (dependabot-automerge-end)\n\n---\n\n\u003cdetails\u003e\n\u003csummary\u003eDependabot commands and options\u003c/summary\u003e\n\u003cbr /\u003e\n\nYou can trigger Dependabot actions by commenting on this PR:\n- `@dependabot rebase` will rebase this PR\n- `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it\n- `@dependabot show \u003cdependency name\u003e ignore conditions` will show all of the ignore conditions of the specified dependency\n- `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)\n- `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)\n- `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)\n\n\n\u003c/details\u003e","html_url":"https://github.com/OpenSourceAWE/KiteModels.jl/pull/275","url":"https://dependabot.ecosyste.ms/api/v1/hosts/GitHub/repositories/OpenSourceAWE%2FKiteModels.jl/issues/275","packages_url":"https://dependabot.ecosyste.ms/api/v1/issues/275/packages"}}]}