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New package: AbstractBayesOpt v0.1.0 (#139737)
UUID: 735adf1-6ca3-4095-a89a-9a0ece110843 Repo: https://github.com/evandieren/AbstractBayesOpt.jl.git Tree: 2f12275a6456e7ece684d79c57916566f3800301 Registrator tree SHA: 50f504d641745716a5b3eabaf681d3a4937d2ae3
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A/AbstractBayesOpt/Compat.toml

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[0]
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AbstractGPs = "0.5"
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ArgCheck = "2.5.0 - 2"
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Distances = "0.10"
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Distributions = "0.25"
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FillArrays = "1.14.0 - 1"
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ForwardDiff = "1.2.0 - 1"
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JuliaFormatter = "2.1.0 - 2"
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KernelFunctions = "0.10"
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LinearAlgebra = "1.11.0 - 1"
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Optim = "1.13.0 - 1"
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QuasiMonteCarlo = "0.3"
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Random = "1.11.0 - 1"
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SpecialFunctions = "2.6.0 - 2"
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Statistics = "1.11.0 - 1"
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julia = "1.11.0 - 1"

A/AbstractBayesOpt/Deps.toml

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AbstractGPs = "99985d1d-32ba-4be9-9821-2ec096f28918"
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ArgCheck = "dce04be8-c92d-5529-be00-80e4d2c0e197"
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Distances = "b4f34e82-e78d-54a5-968a-f98e89d6e8f7"
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Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
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FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
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ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
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JuliaFormatter = "98e50ef6-434e-11e9-1051-2b60c6c9e899"
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KernelFunctions = "ec8451be-7e33-11e9-00cf-bbf324bd1392"
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LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
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Optim = "429524aa-4258-5aef-a3af-852621145aeb"
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QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
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Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
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SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
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Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"

A/AbstractBayesOpt/Package.toml

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name = "AbstractBayesOpt"
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uuid = "735adf16-6ca3-4095-a89a-9a0ece110843"
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repo = "https://github.com/evandieren/AbstractBayesOpt.jl.git"

A/AbstractBayesOpt/Versions.toml

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["0.1.0"]
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git-tree-sha1 = "2f12275a6456e7ece684d79c57916566f3800301"

Registry.toml

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734901b1-590a-5f47-85e0-724a0ec3af09 = { name = "DynamicBounds", path = "D/DynamicBounds" }
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734bcdfa-9b77-4718-b76e-d5faf726ad42 = { name = "ODEHybrid", path = "O/ODEHybrid" }
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73536572-7074-4e69-5270-206c4c6a2061 = { name = "JLLGenerator", path = "J/JLLGenerator" }
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735adf16-6ca3-4095-a89a-9a0ece110843 = { name = "AbstractBayesOpt", path = "A/AbstractBayesOpt" }
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735f9d89-249f-4fc4-9125-480239e6a78f = { name = "MicroCoverage", path = "M/MicroCoverage" }
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735ffce8-66c7-5b61-a90f-89c46d1a79d5 = { name = "TrafficAssignment", path = "T/TrafficAssignment" }
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736c1586-5226-4b2e-9818-fad6972f0408 = { name = "SDLCanvas", path = "S/SDLCanvas" }

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