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Updates the requirements on DiffEqBase, Distributions, ChainRulesCore, PDMats, RecursiveArrayTools, DifferenceEquations, Plots, Zygote, DataFrames, FiniteDiff, DelimitedFiles and ChainRulesTestUtils to permit the latest version.
Updates DiffEqBase to 7.2.0

Changelog

Sourced from DiffEqBase's changelog.

OrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries. It also coincides with the DifferentialEquations.jl v8 umbrella release, which is itself a breaking change to the user-facing meta-package.

DifferentialEquations.jl v8: scope reduction

DifferentialEquations.jl v8 no longer re-exports the full SciML solver suite. Previously, using DifferentialEquations pulled in OrdinaryDiffEq, StochasticDiffEq, DelayDiffEq, BoundaryValueDiffEq, Sundials, JumpProcesses, SteadyStateDiffEq, LinearSolve, NonlinearSolve, Optimization, etc. — a large default surface that drove up using time and made it unclear which package any given solver actually came from.

In v8, using DifferentialEquations only loads OrdinaryDiffEq. All other solver families have been removed from the umbrella. If your code relied on DifferentialEquations 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.

Migration

Find the topic you need a solver for and add the corresponding sublib(s) directly. The DiffEqDocs tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:

Topic Old (DiffEq v7 umbrella) New (DiffEq v8)
ODEs using DifferentialEquations using OrdinaryDiffEq (or using OrdinaryDiffEqTsit5, OrdinaryDiffEqRosenbrock, … for individual solver families)
Stochastic ODEs using DifferentialEquations using StochasticDiffEq
Delay ODEs using DifferentialEquations using DelayDiffEq
Boundary value problems using DifferentialEquations using BoundaryValueDiffEq (or one of BoundaryValueDiffEqMIRK, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqShooting, …)
Jump processes using DifferentialEquations using JumpProcesses
Steady state using DifferentialEquations using SteadyStateDiffEq
DAEs (mass matrix or implicit) using DifferentialEquations using OrdinaryDiffEq (mass matrix), using Sundials (IDA), or topic sublib
Sundials wrappers (CVODE, IDA, ARKODE) using DifferentialEquations using Sundials
Linear / nonlinear / optimization using DifferentialEquations using LinearSolve / using NonlinearSolve / using Optimization

For ODE work specifically, prefer importing only the sublib you need (e.g. using OrdinaryDiffEqTsit5: Tsit5) rather than the umbrella using OrdinaryDiffEq — the v7 ecosystem split lets you trim using time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.

Why

Removing the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long using DifferentialEquations precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.

This change is independent of the OrdinaryDiffEq v7 changes below — OrdinaryDiffEq v7 ships with DifferentialEquations v8, but you can also use OrdinaryDiffEq v7 directly without the umbrella package at all.

OrdinaryDiffEq.jl v7 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries.

Themes of the v7 release

Most 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:

  • Time to first solve (TTFS) reduction. Direct deps on Static.jl, StaticArrayInterface.jl, Polyester.jl, and StaticArrays.jl were dropped; using OrdinaryDiffEq now loads only the default solver set; ODEFunction switched to AutoSpecialize. All of this means less code loaded and more precompilation caching on first solve.
  • Type stability everywhere. All Bool solver/solve keyword arguments (autodiff, verbose, alias, lazy, …) were replaced by typed objects. Passing a Bool 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.
  • Generality beyond ForwardDiff. chunk_size, diff_type, standardtag, etc. encoded ForwardDiff-specific or FiniteDiff-specific knobs on every solver. They are replaced by the ADTypes interface (AutoForwardDiff, AutoFiniteDiff, AutoEnzyme, AutoZygote, …) so every solver automatically generalizes to any AD backend.
  • Controller is now an object, not a pile of solve kwargs. gamma, beta1, beta2, qmin, qmax, qsteady_min, qsteady_max, qoldinit were moved onto concrete PIController / PIDController / IController / PredictiveController structs, and EEst moved to the controller cache. This is prep work for pluggable controllers and removes a large amount of dead state from the integrator struct.
  • Cleanup of old re-exports / deprecations. Functions like has_destats (now has_stats), sol.destats (now sol.stats), DEAlgorithm/DEProblem/DESolution abstract types, tuples()/intervals(), QuadratureProblem, fastpow, concrete_solve, etc. were on a deprecation path for one or more minor releases. v7 removes them.

Recommended upgrade path

... (truncated)

Commits

Updates Distributions to 0.25.125

Release notes

Sourced from Distributions's releases.

v0.25.125

Distributions v0.25.125

Diff since v0.25.124

Merged pull requests:

Commits
  • cc1a9fa Add sufficient statistics and MLE for Chi and Chisq (#1997)
  • 46ef6a3 Fix BinomialTPESampler Stirling correction sign error (#2053)
  • da420cd Implementing Hypergeometric sampling to remove RFunctions dependency (#1994)
  • 196d79b Bump codecov/codecov-action from 5 to 6 (#2048)
  • 8c7dd0d Simplify pdf formula in SkewNormal docstring (#2046)
  • bd05c70 Bump julia-actions/cache from 2 to 3 (#2043)
  • aaa6f49 Add docstring for univariate gradlogpdf (#2042)
  • 71309bc Bump actions/checkout from 5 to 6 (#2037)
  • d90e7ab Fix R test references and make them reproducible (#2007)
  • f1ff9e8 minor numerical improvement to logpdf(::Skellam) (#2034)
  • Additional commits viewable in compare view

Updates ChainRulesCore to 1.26.1

Release notes

Sourced from ChainRulesCore's releases.

v1.26.1

What's Changed

New Contributors

Full Changelog: JuliaDiff/ChainRulesCore.jl@v1.26.0...v1.26.1

Commits
  • 4253bff Fix some tests and bump version (#706)
  • dad0d24 Bump codecov/codecov-action from 5 to 6 (#705)
  • 004e43e Bump actions/checkout from 5 to 6 (#700)
  • 115c282 Bump actions/checkout from 4 to 5 (#699)
  • 414b660 Update Project.toml
  • 124e0cb Merge pull request #698 from ChrisRackauckas-Claude/update-compat-bounds-2025
  • 1d5c651 Update Downgrade.yml
  • 6facda3 Create Downgrade.yml
  • 632c0dc Update compat bounds to exclude releases >1 year old
  • f396d36 Merge pull request #697 from ChrisRackauckas-Claude/bump-julia-v1.10
  • Additional commits viewable in compare view

Updates PDMats to 0.11.37

Release notes

Sourced from PDMats's releases.

v0.11.37

PDMats v0.11.37

Diff since v0.11.36

Merged pull requests:

Commits

Updates RecursiveArrayTools to 4.3.0

Release notes

Sourced from RecursiveArrayTools's releases.

v4.3.0

RecursiveArrayTools v4.3.0

Diff since v4.2.0

Merged pull requests:

Closed issues:

  • Vector{Int} indexing of NamedArrayPartition broken for v4+ (#583)
Commits
  • 8017750 Merge pull request #586 from SciML/ChrisRackauckas-patch-3
  • d419cd5 Update Project.toml
  • 951f7da Merge pull request #584 from ChrisRackauckas-Claude/fix-vector-int-indexing-583
  • 0c18182 Merge pull request #585 from SciML/ChrisRackauckas-patch-3
  • 9cbf6d0 Make NamedArrayPartition slicing fully type-stable via Vector
  • b2dba7b Update Project.toml
  • c888aa7 Merge pull request #582 from JoshuaLampert/recursivefill-raggedarrays
  • 546b1ab remove extension again
  • 48afea0 fix inference issue on julia v1.10
  • 2466954 Fix NamedArrayPartition Vector{Int} / UnitRange indexing (#583)
  • Additional commits viewable in compare view

Updates DiffEqBase to 7.2.0

Changelog

Sourced from DiffEqBase's changelog.

OrdinaryDiffEq.jl v7 / DifferentialEquations.jl v8 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries. It also coincides with the DifferentialEquations.jl v8 umbrella release, which is itself a breaking change to the user-facing meta-package.

DifferentialEquations.jl v8: scope reduction

DifferentialEquations.jl v8 no longer re-exports the full SciML solver suite. Previously, using DifferentialEquations pulled in OrdinaryDiffEq, StochasticDiffEq, DelayDiffEq, BoundaryValueDiffEq, Sundials, JumpProcesses, SteadyStateDiffEq, LinearSolve, NonlinearSolve, Optimization, etc. — a large default surface that drove up using time and made it unclear which package any given solver actually came from.

In v8, using DifferentialEquations only loads OrdinaryDiffEq. All other solver families have been removed from the umbrella. If your code relied on DifferentialEquations 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.

Migration

Find the topic you need a solver for and add the corresponding sublib(s) directly. The DiffEqDocs tutorials and solver pages now specify, per algorithm, which package it ships from. Common cases:

Topic Old (DiffEq v7 umbrella) New (DiffEq v8)
ODEs using DifferentialEquations using OrdinaryDiffEq (or using OrdinaryDiffEqTsit5, OrdinaryDiffEqRosenbrock, … for individual solver families)
Stochastic ODEs using DifferentialEquations using StochasticDiffEq
Delay ODEs using DifferentialEquations using DelayDiffEq
Boundary value problems using DifferentialEquations using BoundaryValueDiffEq (or one of BoundaryValueDiffEqMIRK, BoundaryValueDiffEqFIRK, BoundaryValueDiffEqShooting, …)
Jump processes using DifferentialEquations using JumpProcesses
Steady state using DifferentialEquations using SteadyStateDiffEq
DAEs (mass matrix or implicit) using DifferentialEquations using OrdinaryDiffEq (mass matrix), using Sundials (IDA), or topic sublib
Sundials wrappers (CVODE, IDA, ARKODE) using DifferentialEquations using Sundials
Linear / nonlinear / optimization using DifferentialEquations using LinearSolve / using NonlinearSolve / using Optimization

For ODE work specifically, prefer importing only the sublib you need (e.g. using OrdinaryDiffEqTsit5: Tsit5) rather than the umbrella using OrdinaryDiffEq — the v7 ecosystem split lets you trim using time substantially. The DiffEqDocs tutorials and solver index annotate every algorithm with its host sublib.

Why

Removing the meta-package's broad re-exports lets each topic's package version cycle independently, eliminates the long using DifferentialEquations precompile chain for users who only need ODEs, and makes the dependency graph for any given script honest about what's actually being loaded.

This change is independent of the OrdinaryDiffEq v7 changes below — OrdinaryDiffEq v7 ships with DifferentialEquations v8, but you can also use OrdinaryDiffEq v7 directly without the umbrella package at all.

OrdinaryDiffEq.jl v7 Breaking Changes

This release bumps to SciMLBase v3, RecursiveArrayTools v4, and includes breaking changes across DiffEqBase, OrdinaryDiffEqCore, and all solver sublibraries.

Themes of the v7 release

Most 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:

  • Time to first solve (TTFS) reduction. Direct deps on Static.jl, StaticArrayInterface.jl, Polyester.jl, and StaticArrays.jl were dropped; using OrdinaryDiffEq now loads only the default solver set; ODEFunction switched to AutoSpecialize. All of this means less code loaded and more precompilation caching on first solve.
  • Type stability everywhere. All Bool solver/solve keyword arguments (autodiff, verbose, alias, lazy, …) were replaced by typed objects. Passing a Bool 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.
  • Generality beyond ForwardDiff. chunk_size, diff_type, standardtag, etc. encoded ForwardDiff-specific or FiniteDiff-specific knobs on every solver. They are replaced by the ADTypes interface (AutoForwardDiff, AutoFiniteDiff, AutoEnzyme, AutoZygote, …) so every solver automatically generalizes to any AD backend.
  • Controller is now an object, not a pile of solve kwargs. gamma, beta1, beta2, qmin, qmax, qsteady_min, qsteady_max, qoldinit were moved onto concrete PIController / PIDController / IController / PredictiveController structs, and EEst moved to the controller cache. This is prep work for pluggable controllers and removes a large amount of dead state from the integrator struct.
  • Cleanup of old re-exports / deprecations. Functions like has_destats (now has_stats), sol.destats (now sol.stats), DEAlgorithm/DEProblem/DESolution abstract types, tuples()/intervals(), QuadratureProblem, fastpow, concrete_solve, etc. were on a deprecation path for one or more minor releases. v7 removes them.

Recommended upgrade path

... (truncated)

Commits

Updates DifferenceEquations to 1.0.0

Commits

Updates Plots to 1.41.6

Release notes

Sourced from Plots's releases.

Plots-v1.41.6

What's Changed

Full Changelog: JuliaPlots/Plots.jl@Plots-v1.41.5+docs...Plots-v1.41.6

Changelog

Sourced from Plots's changelog.

Plots.jl NEWS

Breaking changes

v2

  • deprecated backends pgfplots and pyplot removed
  • deprecated keyword orientation removed
  • backends are extensions now so the backend code must be explicitly loaded using import with the backend package, e.g. 
    using Plots
import GR # loads backend code

  • Types are no longer part of the Plots API this affects
    • Shape, which is now shape
  • The default label is now :none, use :auto to restore the previous behaviour
  • UnitfulExt changes:
    • The P_str macro is no longer provided as API. The intended goal was simply to not put units on axis labels which were "protected strings". To achieve this now, pass unitformat=:nounit.
    • The axis option unitformat=:none, unitformat=nothing, and unitformat=false previously printed the axis guide as string(label, " ", unit). That behavior is now moved to unitformat=:space, and :none, nothing, and false print the axis guide without units.

notes on release changes, ongoing development, and future planned work

NOTE: this file is deprecated, see the TagBot auto-generated changelogs instead

0.28.3

  • support generalized array interface
  • save to pdf, svg and eps in plotlyjs
  • fix for clims in line_z
  • optimize heatmap logic in gr

0.26.3

  • fix vline with dates
  • fix PyPlot logscale bug
  • avoid annotation clipping for PyPlot
  • allow plotting of Any vectors and 3D plotting again in convertToAnyVector
  • specify legend title font in GR and PyPlot
  • delete pushtomaster.sh
  • use === nothing

0.26.2

  • improve empty animation build error

... (truncated)

Commits

Updates Zygote to 0.7.10

Release notes

Sourced from Zygote's releases.

v0.7.10

Zygote v0.7.10

Diff since v0.7.9

Merged pull requests:

Commits

Updates DataFrames to 1.8.2

Release notes

Sourced from DataFrames's releases.

v1.8.2

DataFrames v1.8.2

Diff since v1.8.1

Merged pull requests:

Closed issues:

  • stack wrong makeunique suggestion (#3487)
  • invalid index with SubDataFrame and copycols = false (#3515)
  • Link to "Data Wrangling with DataFrames.jl Cheat Sheet" is broken in the documentation (#3518)
Changelog

Sourced from DataFrames's changelog.

DataFrames.jl v1.8.2 Release Notes

Bug fixes

  • Fix a column selection bug when transforming SubDataFrame with copycols=false (#3503)

DataFrames.jl v1.8.0 Release Notes

Ecosystem compatibility changes

  • Make DataFrames.jl hashing consistent with Julia 1.13 and take into account column names when hashing AbstractDataFrame (#3507)
  • Require Julia 1.10 and add PrettyTables.jl v3 support (#3510)

DataFrames.jl v1.7.1 Release Notes

Julia compatibility change

  • Make DataFrames.jl support DataStructures.jl version 0.19 (#3503)

DataFrames.jl v1.7.0 Release Notes

New functionalities

  • Allow passing multiple values to add in push!, pushfirst!, append!, and prepend! (#3372)
  • rename and rename! now allow to apply a function transforming column names only to a subset of the columns specified by the cols keyword argument (#3380)
  • mapcols and mapcols! now allow to apply a function transforming columns only to a subset of the columns specified by the cols keyword argument (#3386)

Bug fixes

  • Correctly throw an error if negative number of rows is passed to first or last (#3402)
  • Always use the default thread pool for multithreaded operations, instead of using the interactive thread pool when Julia was started with -tM,N with N > 0 (#3385)
  • Correctly return Bool[] in the nonunique function applied to a data frame with a pulled column that has zero levels in the pool (#3393)

... (truncated)

Commits

Updates FiniteDiff to 2.31.0

Commits

Updates DelimitedFiles to 1.9.1

Commits

Updates ChainRulesTestUtils to 1.13.1

Commits

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Bump the all-julia-packages group across 2 directories with 12 updates
bd41766 
Updates the requirements on [DiffEqBase](https://github.com/SciML/OrdinaryDiffEq.jl), [Distributions](https://github.com/JuliaStats/Distributions.jl), [ChainRulesCore](https://github.com/JuliaDiff/ChainRulesCore.jl), [PDMats](https://github.com/JuliaStats/PDMats.jl), [RecursiveArrayTools](https://github.com/SciML/RecursiveArrayTools.jl), [DifferenceEquations](https://github.com/SciML/DifferenceEquations.jl), [Plots](https://github.com/JuliaPlots/Plots.jl), [Zygote](https://github.com/FluxML/Zygote.jl), [DataFrames](https://github.com/JuliaData/DataFrames.jl), [FiniteDiff](https://github.com/JuliaDiff/FiniteDiff.jl), [DelimitedFiles](https://github.com/JuliaData/DelimitedFiles.jl) and [ChainRulesTestUtils](https://github.com/JuliaDiff/ChainRulesTestUtils.jl) to permit the latest version.

Updates `DiffEqBase` to 7.2.0
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md)
- [Commits](https://github.com/SciML/OrdinaryDiffEq.jl/commits)

Updates `Distributions` to 0.25.125
- [Release notes](https://github.com/JuliaStats/Distributions.jl/releases)
- [Commits](JuliaStats/Distributions.jl@0.2.2...v0.25.125)

Updates `ChainRulesCore` to 1.26.1
- [Release notes](https://github.com/JuliaDiff/ChainRulesCore.jl/releases)
- [Commits](JuliaDiff/ChainRulesCore.jl@v0.1.0...v1.26.1)

Updates `PDMats` to 0.11.37
- [Release notes](https://github.com/JuliaStats/PDMats.jl/releases)
- [Commits](JuliaStats/PDMats.jl@v0.1.1...v0.11.37)

Updates `RecursiveArrayTools` to 4.3.0
- [Release notes](https://github.com/SciML/RecursiveArrayTools.jl/releases)
- [Commits](SciML/RecursiveArrayTools.jl@v0.0.1...v4.3.0)

Updates `DiffEqBase` to 7.2.0
- [Release notes](https://github.com/SciML/OrdinaryDiffEq.jl/releases)
- [Changelog](https://github.com/SciML/OrdinaryDiffEq.jl/blob/master/NEWS.md)
- [Commits](https://github.com/SciML/OrdinaryDiffEq.jl/commits)

Updates `DifferenceEquations` to 1.0.0
- [Release notes](https://github.com/SciML/DifferenceEquations.jl/releases)
- [Commits](https://github.com/SciML/DifferenceEquations.jl/commits)

Updates `Plots` to 1.41.6
- [Release notes](https://github.com/JuliaPlots/Plots.jl/releases)
- [Changelog](https://github.com/JuliaPlots/Plots.jl/blob/v2/NEWS.md)
- [Commits](JuliaPlots/Plots.jl@Plots-v1.41.5+docs...Plots-v1.41.6)

Updates `Zygote` to 0.7.10
- [Release notes](https://github.com/FluxML/Zygote.jl/releases)
- [Commits](FluxML/Zygote.jl@v0.2.0...v0.7.10)

Updates `DataFrames` to 1.8.2
- [Release notes](https://github.com/JuliaData/DataFrames.jl/releases)
- [Changelog](https://github.com/JuliaData/DataFrames.jl/blob/main/NEWS.md)
- [Commits](JuliaData/DataFrames.jl@v0.0.0...v1.8.2)

Updates `FiniteDiff` to 2.31.0
- [Release notes](https://github.com/JuliaDiff/FiniteDiff.jl/releases)
- [Commits](https://github.com/JuliaDiff/FiniteDiff.jl/commits)

Updates `DelimitedFiles` to 1.9.1
- [Release notes](https://github.com/JuliaData/DelimitedFiles.jl/releases)
- [Commits](JuliaData/DelimitedFiles.jl@v1.9.0...v1.9.1)

Updates `ChainRulesTestUtils` to 1.13.1
- [Release notes](https://github.com/JuliaDiff/ChainRulesTestUtils.jl/releases)
- [Commits](JuliaDiff/ChainRulesTestUtils.jl@v0.1.0...v1.13.1)

---
updated-dependencies:
- dependency-name: DiffEqBase
  dependency-version: 7.2.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Distributions
  dependency-version: 0.25.125
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: ChainRulesCore
  dependency-version: 1.26.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: PDMats
  dependency-version: 0.11.37
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: RecursiveArrayTools
  dependency-version: 4.3.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DiffEqBase
  dependency-version: 7.2.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DifferenceEquations
  dependency-version: 1.0.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Plots
  dependency-version: 1.41.6
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: Zygote
  dependency-version: 0.7.10
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DataFrames
  dependency-version: 1.8.2
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: FiniteDiff
  dependency-version: 2.31.0
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: DelimitedFiles
  dependency-version: 1.9.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
- dependency-name: ChainRulesTestUtils
  dependency-version: 1.13.1
  dependency-type: direct:production
  dependency-group: all-julia-packages
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file julia Pull requests that update julia code labels May 6, 2026
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dependabot Bot commented on behalf of github May 7, 2026

Superseded by #165.

@dependabot dependabot Bot closed this May 7, 2026
@dependabot dependabot Bot deleted the dependabot/julia/docs/all-julia-packages-31e4819ffa branch May 7, 2026 00:52
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