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Register #845
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Error while trying to register: Version 5.12.0 already exists |
@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/2348 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/2485 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
Also, note the warning: Version 5.16.0 skips over 5.14.0 |
@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/2523 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/3201 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/3472 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/3690 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/3928 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/4819 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 Julia TagBot is installed, or can be done manually through the github interface, or via:
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@JuliaRegistrator register() |
Error while trying to register: "Tag with name |
@JuliaRegistrator register() |
Registration pull request created: JuliaRegistries/General/121778 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
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Registration pull request created: JuliaRegistries/General/121779 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
Registration pull request created: JuliaRegistries/General/121780 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
Error while trying to register: Version 1.1.0 already exists |
- Registering package: OrdinaryDiffEqSDIRK - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7af8446347366796ad288f72a84d4054eb156f5d13bcde9e1c0429507f13d9c0ff86f9654a8618bf96771a643b05f490531449407bc0a0a70578c4b335f18febd520a339e5d24ce3ef766fc3be60f67e20f731d4693b6ddce237222d8a4463ee17282d2f3044f9db0ac8bcd52528e69b1986ae98fe43bfcc65bcf9e328beb1db39a525016b68f1ed44d7d1449668ad58cecf386e33eba91e8dd2c821ae76fabe0becbdd8a9c4e409b871f61f224a557a1ee -->
- Registering package: OrdinaryDiffEqStabilizedIRK - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7af8b675920281901696a5bbe1c6ca100357e92c17ac0cf51ceea862b9c96e28070ba1e514ab5a3d3c8b8c2c48dd0b3c432ff1369470dc7e9f931f8a6d18e8a127413c88ab707ac298e99659fc2b6f836d27793128233d8458d7d67b56c9c910c25e59b1df0cf9eedc244baf0414f6ca8a6ee1915bf3fd89fa2413dc376d4f6338e85c3ee3dc5f692b33bb74cb6b8e09255bec0c4131223ede2d1bb557d968adf1fe7695bb5ee0d76e8c71e3bbb90229ee8d3e99d8e3b3ff052c1d86733891b2ef7 -->
- Registering package: OrdinaryDiffEqIMEXMultistep - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7afa3197549ee608bf56031f553cea70e94e24a4dfc4938c0b0de7b6ef69db54e5ff976fc31ecb7482882aef7afe3802c10c855708680ec47306a39421ac161b411494e29dd88dd73fe1173cb1c629edb493c78608893408508fbb8cb9c495b8dfaaf68e149579a18dd950aacbef0bc4e065baf3f1ecaf0ecf070aea362581d2023a0f95bae4f286854dab743f26ab102cca39990f4be62b00db7f1a0b921f97297ea0b9bcd466558acd63117d40b7f3abd55e40985faeb2349cdcbe4e18f71c52d -->
- Registering package: OrdinaryDiffEqPDIRK - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7afeaf67c759882e1ff28e890bc90e8891177399a21e22ee8a5210ccd4d325b5f22b1ca8db421c0d434ab7fed83c968fd57c9f26e12f637d4a9e8f42754571ff0c3f40b4c0b66368bd10b9146dc34ef6b0c18289f9dc88e4d5e546abbf1599b663d49b9b6b1314df3f0f9afea9fad2bacb6edb7214b86a3a85c09fc5ad1433e3153ebae52ab08339647aef6adc7fa8e992b2d96b2c6c647340e50ead2f50f4448b5401a26dd8e764e304f4330a494361071 -->
- Registering package: OrdinaryDiffEqFIRK - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.6.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7aff2184052088f5b31377e2010d00148760229e1145f66304925b00d1d3340a9e901d260fc183eb1b40fbb9b55f3e3ce5a702c55de90c9af29947322e6829dab8c5f9a823f1ad501084fe8f20aef8357d65b75e62662c804702973052283c2795b1ad2715824700f771529f2763fa0252a713dc78c0bd4b23b8f5be86f5ad9a0c9cd5cd3183fd1ae898f92485b5b255d4e9d20a1ea48d826637bad9fd15e0e64185a4ca2432533c8b01276dfeea7ffa2a2 -->
- Registering package: OrdinaryDiffEqExtrapolation - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.3.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7afbd046d893c2273c3cc71770129e48f2f575c9a07956c50d31022e459b26f021da023b56b1f3297851e9d2250bf1f7370a9518ff1906e82c821f6e7905e10583bd2c0b4bf3bfafe8708434a2eb1e1ba333cf83cc6794fdf25cedeb107e6e21c50f381b88e056f0c9a05d9a83937029c7e41018ce56d62590c9b5469476596b85c5c29df16676a9d8b7a0e02f8dc452fd1f3aa9d908ad9cba87d0e1378eef13f54f8f387c516486a54b0fbe42f242f54100ddf01ee863018f1201a49436514c322 -->
- Registering package: OrdinaryDiffEqExponentialRK - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7aff230f4eaa63c623114f3c8706e11e2fad80ac546eb4ff94aac9a9905013fcad1df58e2a00e7c01e83163f399811a180c342dd644052d396f2b29afb5c93a00969615832d55def07a676df4076e3e8e1c529f4251206b9cee166a95901e6d033f4a287dd6b0f16565ee80c7751e3cd7a2d62f18196fa84c600062315d1623a82432c6020c7c6538cdd0965dbc9be488740a3b2ddf5e5073c622911c151e487cb04c8b87c9c483508c4423e4b8e62f9492230d6c2afe5297593d4b95486b731172 -->
- Registering package: OrdinaryDiffEqDifferentiation - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.3.0 - Commit: 3e7579a40cd4f78d73fb18feda630986c84fe6c4 - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7afb2c24511611bc091bd1f675c67239b47ede25cf955149ce7c597081598ac31ddc600a97776e2dffd738108151c0748b133b3b77a9e401e2f5d41d5decc4ba3decb97944aadc4a4225a01a74b555e168eca0bf92ecac72eb10b637e428b6036b552379321074bf8aa5e23dd36a57a3dba58a9f08430c42114fc020e14803de8eade797d13e592c8032aac17be70b2399c4169bf670d684faa6533c3c024f32c7f3133a5e94989330a54b912d2fb997d82ad5ccc20aad35a79525fe6bbe3687769 -->
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqCore |
Registration pull request created: JuliaRegistries/General/121782 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
- Registering package: OrdinaryDiffEqCore - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.14.1 - Commit: 607c124a42e9d639128fee7a19f0075a10d4803a - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7af7690b65209effd7967e2547cc3da18458c7923a2b4aa63c6d000bd0b2a57d75eaa5db7e7ea7e1a8c9956099eb2c0a3f652287cb8cc4bb59cc4bccbff39febab11235da95b6b43a2fdf88ca026707c01a2b1352fd23c8a94450325127c1ec56ad06d5d7f157192359957ee57171b84a68055c44d80992f43d534bd3e4a0fc78cb59c83e70c370c53c35eb775779ded94b80c56e7dcbdf2ad12a82d415f0539ffda75ceb9eed9828a03997dcb08a11de13 -->
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqBDF |
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqDefault |
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqRosenbrock |
Registration pull request updated: JuliaRegistries/General/121780 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
- Registering package: OrdinaryDiffEqBDF - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.2.0 - Commit: 607c124a42e9d639128fee7a19f0075a10d4803a - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7af238e2ae3a55ed5f4eba5230c78ac0214c7bdcd74d0416eda2522f852017cff7dfea7c79ff5cb390688a1633fe00801a19ab42bddbbd24a0862ded2319a2825774b5cbcb4b76d3564db4cafbcd3df878f259ad8a8dc96607687bd957738d8e020ade4953dceda9299117c53567b5586b483d9224cf52d91690539edeaf89a9a2791e7b5b7ddb0ef2ad38080de608566c0bce1d5ee5b56cceb7414db65336454f8f925e0c6910a626310571396420b41dc -->
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqRosenbrock |
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqDefault |
Registration pull request updated: JuliaRegistries/General/121774 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
Registration pull request updated: JuliaRegistries/General/121779 Tip: Release NotesDid you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
To add them here just re-invoke and the PR will be updated. TaggingAfter 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:
|
- Registering package: OrdinaryDiffEqRosenbrock - Repository: https://github.com/SciML/OrdinaryDiffEq.jl - Created by: @ChrisRackauckas - Version: v1.4.0 - Commit: 607c124a42e9d639128fee7a19f0075a10d4803a - Reviewed by: @ChrisRackauckas - Reference: SciML/OrdinaryDiffEq.jl#845 (comment) - Description: High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML) <!-- 45a4cd22be5b6a15fc3c6d377732d7af8e7d3ed82af06e7bd93409c7bbdbdad5b18deec458e7a3cdf0997535e5f2118656e7f00475529a8369e9e3a0d7e0efdccd04234308744cc2b343aff48a7955ea2c8b4e8f16f509ae8c4be7e4070e912051968fa7e2bf780262e583f2f6e15129434b3e8f8db213b0eb8a6af13fbab29ed4d93c999ec2dad4db11f646367f4bfb5f7d23e90877aa5e0bd7ddebc1e0106bf7435627a6773ed48b404a5dcc74c31e58770fd800f2596f58711e47ba6f081b4cbf35c0aaf41c7376189dc618f4e302 -->
@JuliaRegistrator register()
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqAdamsBashforthMoulton
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqBDF
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqCore
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqDefault
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqDifferentiation
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqExplicitRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqExponentialRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqExtrapolation
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqFeagin
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqFIRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqFunctionMap
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqHighOrderRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqIMEXMultistep
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqLinear
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqLowOrderRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqLowStorageRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqNonlinearSolve
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqNordsieck
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqPDIRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqPRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqQPRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqRKN
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqRosenbrock
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqSDIRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqSSPRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqStabilizedIRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqStabilizedRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqSymplecticRK
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqTsit5
@JuliaRegistrator register() subdir=lib/OrdinaryDiffEqVerner
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