VariogramAnalysis.jl/Project.toml at main · Msturroc/VariogramAnalysis.jl · GitHub

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name = "VariogramAnalysis"
uuid = "07dc4704-23df-41f7-aa80-c1ad3d8f3e52"
authors = ["msturroc <marcsturrock@protonmail.com>", "Shayan Jalali <shayanjalali@rcsi.ie>"]
repo = "https://github.com/msturroc/VariogramAnalysis.jl.git"
version = "0.2.1"

[deps]
BlackBoxOptim = "a134a8b2-14d6-55f6-9291-3336d3ab0209"
Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
HCubature = "19dc6840-f33b-545b-b366-655c7e3ffd49"
Integrals = "de52edbc-65ea-441a-8357-d3a637375a31"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Optim = "429524aa-4258-5aef-a3af-852621145aeb"
OrderedCollections = "bac558e1-5e72-5ebc-8fee-abe8a469f55d"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
ProgressMeter = "92933f4c-e287-5a05-a399-4b506db050ca"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
QuasiMonteCarlo = "8a4e6c94-4038-4cdc-81c3-7e6ffdb2a71b"
Random = "9a3f8284-a2c9-5f02-9a11-845980a1fd5c"
Roots = "f2b01f46-fcfa-551c-844a-d8ac1e96c665"
Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
Surrogates = "6fc51010-71bc-11e9-0e15-a3fcc6593c49"
SurrogatesPolyChaos = "50679fc6-c85c-4a6e-ac63-dc3c8bd8cb1c"

[compat]
BlackBoxOptim = "0.6.3"
Combinatorics = "1.0"
Conda = "1.10"
DataFrames = "1.7"
Distributions = "0.25"
HCubature = "1.7"
Integrals = "4.7.0"
Optim = "1.13.2"
OrderedCollections = "1.8"
Plots = "1.40.19"
ProgressMeter = "1.10"
PyCall = "1.96"
QuasiMonteCarlo = "0.3"
Random = "1.11.0"
Roots = "2.2"
Surrogates = "6, 7.0.1"
SurrogatesPolyChaos = "0.1.1"
julia = "1.11"

[extras]
Conda = "8f4d0f93-b110-5947-807f-2305c1781a2d"
Pkg = "44cfe95a-1eb2-52ea-b672-e2afdf69b78f"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"

[targets]
build = ["Conda", "Pkg", "PyCall"]
test = ["Test"]