[Bench] setup benchmark

[lrnv]

you have to add the "run benchmark" label to the PR so that they run, if i understood correctly.

[github-actions]

Benchmark Results (Julia v1)

Time benchmarks

	main	166544d...	main / 166544d...
cdf/ArchimedeanCopula(3, EmpiricalGenerator(3, 70))	0.309 ± 0.007 ms	0.292 ± 0.007 ms	1.06 ± 0.035
cdf/BernsteinCopula(3, m=(5, 5, 5))	21.6 ± 0.12 μs	20.1 ± 0.1 μs	1.07 ± 0.008
cdf/BetaCopula{d}(3, 100)	0.0337 ± 0.026 ms	0.0338 ± 0.026 ms	0.996 ± 1.1
cdf/CheckerboardCopula{3} ⟨m=[100, 100, 100]⟩	16.7 ± 12 μs	12.3 ± 10 μs	1.35 ± 1.5
cdf/Copulas.AMHCopula{3, Float64}(θ = 0.6,)	0.401 ± 0 μs	0.401 ± 0.001 μs	1 ± 0.0025
cdf/Copulas.ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7)	1.39 ± 0.001 μs	1.4 ± 0.001 μs	0.993 ± 0.001
cdf/Copulas.ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)	1.12 ± 0.001 μs	1.12 ± 0.01 μs	1 ± 0.009
cdf/Copulas.ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)	1.05 ± 0.01 μs	1.05 ± 0.01 μs	1 ± 0.013
cdf/Copulas.ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)	1.15 ± 0.01 μs	1.15 ± 0.01 μs	1 ± 0.012
cdf/Copulas.ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)	1.29 ± 0.01 μs	1.29 ± 0.011 μs	1 ± 0.012
cdf/Copulas.AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)	0.801 ± 0.01 μs	0.801 ± 0.01 μs	1 ± 0.018
cdf/Copulas.AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)	1.19 ± 0.01 μs	1.19 ± 0.01 μs	1 ± 0.012
cdf/Copulas.AsymMixedCopula{Float64}(θ₁ = 0.12, θ₂ = 0.13)	0.431 ± 0.001 μs	0.431 ± 0.01 μs	1 ± 0.023
cdf/Copulas.BB10Copula{2, Float64}(θ = 3.0, δ = 0.8)	0.301 ± 0.01 μs	0.301 ± 0.01 μs	1 ± 0.047
cdf/Copulas.BB1Copula{2, Float64}(θ = 1.2, δ = 1.5)	0.952 ± 0.01 μs	0.962 ± 0.01 μs	0.99 ± 0.015
cdf/Copulas.BB2Copula{2, Float64}(θ = 1.5, δ = 1.8)	0.822 ± 0.001 μs	0.822 ± 0.001 μs	1 ± 0.0017
cdf/Copulas.BB3Copula{2, Float64}(θ = 2.5, δ = 0.5)	1.65 ± 0.01 μs	1.64 ± 0.009 μs	1.01 ± 0.0082
cdf/Copulas.BB6Copula{2, Float64}(θ = 1.5, δ = 1.4)	1.37 ± 0.011 μs	1.38 ± 0.01 μs	0.993 ± 0.011
cdf/Copulas.BB7Copula{2, Float64}(θ = 1.5, δ = 0.4)	0.811 ± 0.01 μs	0.811 ± 0.01 μs	1 ± 0.017
cdf/Copulas.BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6)	0.541 ± 0.01 μs	0.541 ± 0.01 μs	1 ± 0.026
cdf/Copulas.BB9Copula{2, Float64}(θ = 2.0, δ = 1.5)	0.491 ± 0.01 μs	0.491 ± 0.01 μs	1 ± 0.029
cdf/Copulas.BC2Copula{Float64}(a = 0.5, b = 0.5)	0.421 ± 0.01 μs	0.421 ± 0.001 μs	1 ± 0.024
cdf/Copulas.BC2Copula{Float64}(a = 0.7, b = 0.3)	0.42 ± 0.01 μs	0.421 ± 0.001 μs	0.998 ± 0.024
cdf/Copulas.ClaytonCopula{2, Float64}(θ = -0.7,)	0.681 ± 0.01 μs	0.681 ± 0.01 μs	1 ± 0.021
cdf/Copulas.ClaytonCopula{4, Float64}(θ = 3.0,)	0.611 ± 0.001 μs	0.611 ± 0.01 μs	1 ± 0.016
cdf/Copulas.CuadrasAugeCopula{Float64}(θ = 0.8,)	0.421 ± 0.001 μs	0.421 ± 0.001 μs	1 ± 0.0034
cdf/Copulas.FrankCopula{2, Float64}(θ = -5.0,)	0.661 ± 0.01 μs	0.661 ± 0.01 μs	1 ± 0.021
cdf/Copulas.FrankCopula{4, Float64}(θ = 30.0,)	1.01 ± 0.01 μs	1.02 ± 0.01 μs	0.99 ± 0.014
cdf/Copulas.GalambosCopula{Float64}(θ = 120.0,)	0.791 ± 0.01 μs	0.792 ± 0.01 μs	0.999 ± 0.018
cdf/Copulas.GalambosCopula{Float64}(θ = 4.3,)	0.792 ± 0.02 μs	0.792 ± 0.001 μs	1 ± 0.025
cdf/Copulas.GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))	0.651 ± 0.022 ms	0.65 ± 0.022 ms	1 ± 0.047
cdf/Copulas.GumbelBarnettCopula{2, Float64}(θ = 1.0,)	0.551 ± 0.01 μs	0.551 ± 0.001 μs	1 ± 0.018
cdf/Copulas.GumbelBarnettCopula{3, Float64}(θ = 0.35,)	0.661 ± 0.01 μs	0.661 ± 0.01 μs	1 ± 0.021
cdf/Copulas.GumbelCopula{2, Float64}(θ = 1.2,)	0.591 ± 0 μs	0.591 ± 0.001 μs	1 ± 0.0017
cdf/Copulas.GumbelCopula{4, Float64}(θ = 7.0,)	1 ± 0.01 μs	0.992 ± 0.01 μs	1.01 ± 0.014
cdf/Copulas.HuslerReissCopula{Float64}(θ = 3.5,)	0.652 ± 0.011 μs	0.662 ± 0.01 μs	0.985 ± 0.022
cdf/Copulas.IndependentCopula{2}()	0.08 ± 0.01 μs	0.08 ± 0.01 μs	1 ± 0.18
cdf/Copulas.InvGaussianCopula{2, Float64}(θ = 1.0,)	0.431 ± 0.01 μs	0.43 ± 0.01 μs	1 ± 0.033
cdf/Copulas.InvGaussianCopula{4, Float64}(θ = 0.05,)	0.501 ± 0.01 μs	0.501 ± 0.01 μs	1 ± 0.028
cdf/Copulas.JoeCopula{3, Float64}(θ = 7.0,)	0.771 ± 0.001 μs	0.771 ± 0.001 μs	1 ± 0.0018
cdf/Copulas.LogCopula{Float64}(θ = 1.5,)	0.881 ± 0.01 μs	0.882 ± 0.01 μs	0.999 ± 0.016
cdf/Copulas.MCopula{2}()	0.07 ± 0.001 μs	0.07 ± 0.001 μs	1 ± 0.02
cdf/Copulas.MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)	0.441 ± 0.001 μs	0.441 ± 0 μs	1 ± 0.0023
cdf/Copulas.MixedCopula{Float64}(θ = 0.5,)	0.421 ± 0.001 μs	0.421 ± 0.01 μs	1 ± 0.024
cdf/Copulas.PlackettCopula{Float64}(θ=2.0)	0.12 ± 0.009 μs	0.12 ± 0.01 μs	1 ± 0.11
cdf/Copulas.RafteryCopula{3, Float64}(θ=0.5)	0.631 ± 0.03 μs	0.621 ± 0.019 μs	1.02 ± 0.057
cdf/Copulas.TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))	1.19 ± 0.034 s	1.19 ± 0.026 s	0.999 ± 0.036
cdf/Copulas.WCopula()	0.07 ± 0.01 μs	0.07 ± 0.001 μs	1 ± 0.14
cdf/Copulas.tEVCopula{Float64}(ν = 4.0, ρ = 0.5)	4.46 ± 0.15 μs	4.47 ± 0.15 μs	0.998 ± 0.048
cdf/EmpiricalCopula{d}(2, 20)	1.33 ± 0.021 μs	1.35 ± 0.02 μs	0.984 ± 0.021
cdf/ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩	0.46 ± 0.01 μs	0.461 ± 0.01 μs	0.998 ± 0.031
cdf/FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4])	0.0551 ± 0.034 ms	0.0552 ± 0.034 ms	1 ± 0.86
cdf/SubsetCopula(Copulas.RafteryCopula{3, Float64}(θ=0.5), (2, 1))	0.631 ± 0.019 μs	0.631 ± 0.02 μs	1 ± 0.044
rng/ArchimedeanCopula(3, EmpiricalGenerator(3, 70))	0.0525 ± 0.0015 ms	0.0525 ± 0.0015 ms	1 ± 0.04
rng/BernsteinCopula(3, m=(5, 5, 5))	14.2 ± 0.61 μs	14.5 ± 0.64 μs	0.978 ± 0.061
rng/BetaCopula{d}(3, 100)	10.1 ± 0.34 μs	10.1 ± 0.34 μs	1 ± 0.048
rng/CheckerboardCopula{3} ⟨m=[100, 100, 100]⟩	7.25 ± 0.61 μs	7.26 ± 0.6 μs	0.999 ± 0.12
rng/Copulas.AMHCopula{3, Float64}(θ = 0.6,)	0.0649 ± 0.0091 ms	0.0658 ± 0.0091 ms	0.987 ± 0.19
rng/Copulas.ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7)	0.19 ± 0.017 ms	0.19 ± 0.017 ms	0.998 ± 0.12
rng/Copulas.ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)	0.209 ± 0.025 ms	0.209 ± 0.025 ms	0.998 ± 0.17
rng/Copulas.ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)	0.2 ± 0.019 ms	0.199 ± 0.019 ms	1.01 ± 0.14
rng/Copulas.ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)	0.178 ± 0.024 ms	0.178 ± 0.024 ms	0.999 ± 0.19
rng/Copulas.ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)	0.302 ± 0.025 ms	0.304 ± 0.025 ms	0.994 ± 0.12
rng/Copulas.AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)	0.209 ± 0.025 ms	0.209 ± 0.025 ms	0.999 ± 0.17
rng/Copulas.AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)	0.347 ± 0.039 ms	0.347 ± 0.04 ms	0.999 ± 0.16
rng/Copulas.AsymMixedCopula{Float64}(θ₁ = 0.12, θ₂ = 0.13)	0.0352 ± 0.0041 ms	0.0356 ± 0.0042 ms	0.991 ± 0.16
rng/Copulas.BB10Copula{2, Float64}(θ = 3.0, δ = 0.8)	10.5 ± 0.41 μs	11 ± 0.42 μs	0.956 ± 0.052
rng/Copulas.BB1Copula{2, Float64}(θ = 1.2, δ = 1.5)	19.2 ± 0.24 μs	20.1 ± 0.25 μs	0.956 ± 0.017
rng/Copulas.BB2Copula{2, Float64}(θ = 1.5, δ = 1.8)	12.9 ± 0.33 μs	13.4 ± 0.33 μs	0.96 ± 0.034
rng/Copulas.BB3Copula{2, Float64}(θ = 2.5, δ = 0.5)	18.3 ± 0.3 μs	18.4 ± 0.33 μs	0.996 ± 0.024
rng/Copulas.BB6Copula{2, Float64}(θ = 1.5, δ = 1.4)	24.3 ± 1.2 μs	24.9 ± 1.2 μs	0.973 ± 0.065
rng/Copulas.BB7Copula{2, Float64}(θ = 1.5, δ = 0.4)	15.9 ± 1.1 μs	16.3 ± 1.1 μs	0.976 ± 0.092
rng/Copulas.BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6)	24.7 ± 1.4 μs	25.3 ± 1.4 μs	0.979 ± 0.076
rng/Copulas.BB9Copula{2, Float64}(θ = 2.0, δ = 1.5)	16.4 ± 1.1 μs	16.9 ± 1.1 μs	0.969 ± 0.093
rng/Copulas.BC2Copula{Float64}(a = 0.5, b = 0.5)	0.218 ± 0.0038 ms	0.216 ± 0.0033 ms	1.01 ± 0.024
rng/Copulas.BC2Copula{Float64}(a = 0.7, b = 0.3)	0.133 ± 0.017 ms	0.132 ± 0.017 ms	1 ± 0.18
rng/Copulas.ClaytonCopula{2, Float64}(θ = -0.7,)	10.7 ± 0.18 μs	10.6 ± 0.15 μs	1.01 ± 0.022
rng/Copulas.ClaytonCopula{4, Float64}(θ = 3.0,)	28.4 ± 2.1 μs	28.5 ± 2 μs	0.999 ± 0.1
rng/Copulas.CuadrasAugeCopula{Float64}(θ = 0.8,)	0.138 ± 0.012 ms	0.134 ± 0.012 ms	1.03 ± 0.13
rng/Copulas.FrankCopula{2, Float64}(θ = -5.0,)	1.29 ± 0.021 ms	1.3 ± 0.023 ms	0.992 ± 0.024
rng/Copulas.FrankCopula{4, Float64}(θ = 30.0,)	0.0898 ± 0.01 ms	0.0896 ± 0.011 ms	1 ± 0.17
rng/Copulas.GalambosCopula{Float64}(θ = 120.0,)	0.237 ± 0.0023 ms	0.237 ± 0.0031 ms	0.999 ± 0.016
rng/Copulas.GalambosCopula{Float64}(θ = 4.3,)	0.294 ± 0.024 ms	0.295 ± 0.024 ms	0.999 ± 0.12
rng/Copulas.GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))	2.96 ± 0.22 μs	2.94 ± 0.22 μs	1 ± 0.11
rng/Copulas.GumbelBarnettCopula{2, Float64}(θ = 1.0,)	1.1 ± 0.02 ms	1.11 ± 0.018 ms	0.993 ± 0.024
rng/Copulas.GumbelBarnettCopula{3, Float64}(θ = 0.35,)	1.28 ± 0.022 ms	1.3 ± 0.02 ms	0.991 ± 0.023
rng/Copulas.GumbelCopula{2, Float64}(θ = 1.2,)	15.9 ± 0.17 μs	17.6 ± 0.17 μs	0.905 ± 0.013
rng/Copulas.GumbelCopula{4, Float64}(θ = 7.0,)	20.2 ± 0.22 μs	20.8 ± 0.23 μs	0.975 ± 0.015
rng/Copulas.HuslerReissCopula{Float64}(θ = 3.5,)	0.302 ± 0.024 ms	0.305 ± 0.025 ms	0.992 ± 0.11
rng/Copulas.IndependentCopula{2}()	0.21 ± 0.01 μs	0.201 ± 0.01 μs	1.04 ± 0.072
rng/Copulas.InvGaussianCopula{2, Float64}(θ = 1.0,)	4.53 ± 0.2 μs	4.97 ± 0.28 μs	0.911 ± 0.065
rng/Copulas.InvGaussianCopula{4, Float64}(θ = 0.05,)	6.37 ± 0.23 μs	7 ± 0.28 μs	0.91 ± 0.049
rng/Copulas.JoeCopula{3, Float64}(θ = 7.0,)	19.4 ± 0.58 μs	20 ± 0.58 μs	0.974 ± 0.041
rng/Copulas.LogCopula{Float64}(θ = 1.5,)	0.19 ± 0.019 ms	0.19 ± 0.019 ms	1 ± 0.14
rng/Copulas.MCopula{2}()	0.16 ± 0.01 μs	0.151 ± 0.01 μs	1.06 ± 0.096
rng/Copulas.MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)	0.108 ± 0.016 ms	0.104 ± 0.016 ms	1.03 ± 0.22
rng/Copulas.MixedCopula{Float64}(θ = 0.5,)	30.6 ± 2.9 μs	30.5 ± 2.8 μs	1 ± 0.13
rng/Copulas.PlackettCopula{Float64}(θ=2.0)	0.852 ± 0.021 μs	1.12 ± 0.041 μs	0.759 ± 0.033
rng/Copulas.RafteryCopula{3, Float64}(θ=0.5)	7.03 ± 0.15 μs	7.35 ± 0.15 μs	0.956 ± 0.028
rng/Copulas.TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))	0.0474 ± 0.009 ms	0.0478 ± 0.0091 ms	0.993 ± 0.27
rng/Copulas.WCopula()	0.2 ± 0.031 μs	0.15 ± 0.001 μs	1.33 ± 0.21
rng/Copulas.tEVCopula{Float64}(ν = 4.0, ρ = 0.5)	1.22 ± 0.15 ms	1.23 ± 0.15 ms	0.996 ± 0.17
rng/EmpiricalCopula{d}(2, 20)	3.15 ± 0.27 μs	3.05 ± 0.22 μs	1.03 ± 0.12
rng/ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩	0.108 ± 0.014 ms	0.105 ± 0.014 ms	1.02 ± 0.19
rng/FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4])	7.46 ± 4.7 μs	8.27 ± 4.7 μs	0.903 ± 0.77
rng/SubsetCopula(Copulas.RafteryCopula{3, Float64}(θ=0.5), (2, 1))	8.86 ± 0.35 μs	8.83 ± 0.37 μs	1 ± 0.058
time_to_load	0.97 ± 0.0051 s	0.965 ± 0.02 s	1 ± 0.021

Memory benchmarks

	main	166544d...	main / 166544d...
cdf/ArchimedeanCopula(3, EmpiricalGenerator(3, 70))	0.15 k allocs: 4.83 kB	0.15 k allocs: 4.83 kB	1
cdf/BernsteinCopula(3, m=(5, 5, 5))	0.032 k allocs: 1.73 kB	0.032 k allocs: 1.73 kB	1
cdf/BetaCopula{d}(3, 100)	0.152 k allocs: 0.0665 MB	0.152 k allocs: 0.0665 MB	1
cdf/CheckerboardCopula{3} ⟨m=[100, 100, 100]⟩	1.01 k allocs: 0.0386 MB	1.01 k allocs: 0.0386 MB	1
cdf/Copulas.AMHCopula{3, Float64}(θ = 0.6,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.AsymMixedCopula{Float64}(θ₁ = 0.12, θ₂ = 0.13)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.BB10Copula{2, Float64}(θ = 3.0, δ = 0.8)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB1Copula{2, Float64}(θ = 1.2, δ = 1.5)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB2Copula{2, Float64}(θ = 1.5, δ = 1.8)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB3Copula{2, Float64}(θ = 2.5, δ = 0.5)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB6Copula{2, Float64}(θ = 1.5, δ = 1.4)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB7Copula{2, Float64}(θ = 1.5, δ = 0.4)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BB9Copula{2, Float64}(θ = 2.0, δ = 1.5)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.BC2Copula{Float64}(a = 0.5, b = 0.5)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.BC2Copula{Float64}(a = 0.7, b = 0.3)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.ClaytonCopula{2, Float64}(θ = -0.7,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.ClaytonCopula{4, Float64}(θ = 3.0,)	12 allocs: 0.562 kB	12 allocs: 0.562 kB	1
cdf/Copulas.CuadrasAugeCopula{Float64}(θ = 0.8,)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.FrankCopula{2, Float64}(θ = -5.0,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.FrankCopula{4, Float64}(θ = 30.0,)	12 allocs: 0.562 kB	12 allocs: 0.562 kB	1
cdf/Copulas.GalambosCopula{Float64}(θ = 120.0,)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.GalambosCopula{Float64}(θ = 4.3,)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))	0.271 k allocs: 0.067 MB	0.271 k allocs: 0.067 MB	1
cdf/Copulas.GumbelBarnettCopula{2, Float64}(θ = 1.0,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.GumbelBarnettCopula{3, Float64}(θ = 0.35,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.GumbelCopula{2, Float64}(θ = 1.2,)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.GumbelCopula{4, Float64}(θ = 7.0,)	12 allocs: 0.562 kB	12 allocs: 0.562 kB	1
cdf/Copulas.HuslerReissCopula{Float64}(θ = 3.5,)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.IndependentCopula{2}()	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.InvGaussianCopula{2, Float64}(θ = 1.0,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.InvGaussianCopula{4, Float64}(θ = 0.05,)	12 allocs: 0.562 kB	12 allocs: 0.562 kB	1
cdf/Copulas.JoeCopula{3, Float64}(θ = 7.0,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.LogCopula{Float64}(θ = 1.5,)	12 allocs: 0.484 kB	12 allocs: 0.484 kB	1
cdf/Copulas.MCopula{2}()	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.MixedCopula{Float64}(θ = 0.5,)	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/Copulas.PlackettCopula{Float64}(θ=2.0)	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.RafteryCopula{3, Float64}(θ=0.5)	0.032 k allocs: 1.19 kB	0.032 k allocs: 1.19 kB	1
cdf/Copulas.TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))	1.88 M allocs: 0.17 GB	1.88 M allocs: 0.17 GB	1
cdf/Copulas.WCopula()	2 allocs: 0.0938 kB	2 allocs: 0.0938 kB	1
cdf/Copulas.tEVCopula{Float64}(ν = 4.0, ρ = 0.5)	0.045 k allocs: 4.8 kB	0.045 k allocs: 4.8 kB	1
cdf/EmpiricalCopula{d}(2, 20)	0.032 k allocs: 1.19 kB	0.032 k allocs: 1.19 kB	1
cdf/ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩	17 allocs: 0.641 kB	17 allocs: 0.641 kB	1
cdf/FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4])	3.46 k allocs: 0.135 MB	3.46 k allocs: 0.135 MB	1
cdf/SubsetCopula(Copulas.RafteryCopula{3, Float64}(θ=0.5), (2, 1))	0.042 k allocs: 1.58 kB	0.042 k allocs: 1.58 kB	1
rng/ArchimedeanCopula(3, EmpiricalGenerator(3, 70))	2 allocs: 1.64 kB	2 allocs: 1.64 kB	1
rng/BernsteinCopula(3, m=(5, 5, 5))	2 allocs: 1.64 kB	2 allocs: 1.64 kB	1
rng/BetaCopula{d}(3, 100)	2 allocs: 1.64 kB	2 allocs: 1.64 kB	1
rng/CheckerboardCopula{3} ⟨m=[100, 100, 100]⟩	2 allocs: 1.64 kB	2 allocs: 1.64 kB	1
rng/Copulas.AMHCopula{3, Float64}(θ = 0.6,)	1.35 k allocs: 24.6 kB	1.35 k allocs: 24.6 kB	1
rng/Copulas.ArchimaxCopula{2, Copulas.BB1Generator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 1.3, gen_δ = 1.4, tail_θ = 0.7)	8 allocs: 3.89 kB	8 allocs: 3.89 kB	1
rng/Copulas.ArchimaxCopula{2, Copulas.ClaytonGenerator{Float64}, Copulas.HuslerReissTail{Float64}}(gen_θ = 1.5, tail_θ = 0.6)	8 allocs: 3.89 kB	8 allocs: 3.89 kB	1
rng/Copulas.ArchimaxCopula{2, Copulas.FrankGenerator{Float64}, Copulas.LogTail{Float64}}(gen_θ = 6.0, tail_θ = 1.5)	8 allocs: 3.89 kB	8 allocs: 3.89 kB	1
rng/Copulas.ArchimaxCopula{2, Copulas.GumbelGenerator{Float64}, Copulas.AsymGalambosTail{Float64}}(gen_θ = 2.0, tail_α = 0.35, tail_θ₁ = 0.65, tail_θ₂ = 0.3)	8 allocs: 3.89 kB	8 allocs: 3.89 kB	1
rng/Copulas.ArchimaxCopula{2, Copulas.JoeGenerator{Float64}, Copulas.GalambosTail{Float64}}(gen_θ = 2.5, tail_θ = 2.5)	8 allocs: 3.89 kB	8 allocs: 3.89 kB	1
rng/Copulas.AsymGalambosCopula{Float64}(α = 5.0, θ₁ = 0.8, θ₂ = 0.3)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.AsymLogCopula{Float64}(α = 1.5, θ₁ = 0.5, θ₂ = 0.2)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.AsymMixedCopula{Float64}(θ₁ = 0.12, θ₂ = 0.13)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB10Copula{2, Float64}(θ = 3.0, δ = 0.8)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB1Copula{2, Float64}(θ = 1.2, δ = 1.5)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB2Copula{2, Float64}(θ = 1.5, δ = 1.8)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB3Copula{2, Float64}(θ = 2.5, δ = 0.5)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB6Copula{2, Float64}(θ = 1.5, δ = 1.4)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB7Copula{2, Float64}(θ = 1.5, δ = 0.4)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB8Copula{2, Float64}(ϑ = 1.5, δ = 0.6)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BB9Copula{2, Float64}(θ = 2.0, δ = 1.5)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BC2Copula{Float64}(a = 0.5, b = 0.5)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.BC2Copula{Float64}(a = 0.7, b = 0.3)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.ClaytonCopula{2, Float64}(θ = -0.7,)	6 allocs: 3.33 kB	6 allocs: 3.33 kB	1
rng/Copulas.ClaytonCopula{4, Float64}(θ = 3.0,)	9 allocs: 6.26 kB	9 allocs: 6.26 kB	1
rng/Copulas.CuadrasAugeCopula{Float64}(θ = 0.8,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.FrankCopula{2, Float64}(θ = -5.0,)	0.0646 M allocs: 2.44 MB	0.0646 M allocs: 2.44 MB	1
rng/Copulas.FrankCopula{4, Float64}(θ = 30.0,)	1.73 k allocs: 31.1 kB	1.73 k allocs: 31.1 kB	1
rng/Copulas.GalambosCopula{Float64}(θ = 120.0,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.GalambosCopula{Float64}(θ = 4.3,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.GaussianCopula{2, Matrix{Float64}}(Σ = [1.0 0.7; 0.7 1.0]))	6 allocs: 1.33 kB	6 allocs: 1.33 kB	1
rng/Copulas.GumbelBarnettCopula{2, Float64}(θ = 1.0,)	0.0553 M allocs: 2.11 MB	0.0552 M allocs: 2.11 MB	1
rng/Copulas.GumbelBarnettCopula{3, Float64}(θ = 0.35,)	0.0593 M allocs: 2.48 MB	0.0594 M allocs: 2.48 MB	0.999
rng/Copulas.GumbelCopula{2, Float64}(θ = 1.2,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.GumbelCopula{4, Float64}(θ = 7.0,)	3 allocs: 2.09 kB	3 allocs: 2.09 kB	1
rng/Copulas.HuslerReissCopula{Float64}(θ = 3.5,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.IndependentCopula{2}()	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.InvGaussianCopula{2, Float64}(θ = 1.0,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.InvGaussianCopula{4, Float64}(θ = 0.05,)	3 allocs: 2.09 kB	3 allocs: 2.09 kB	1
rng/Copulas.JoeCopula{3, Float64}(θ = 7.0,)	2 allocs: 1.64 kB	2 allocs: 1.64 kB	1
rng/Copulas.LogCopula{Float64}(θ = 1.5,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.MCopula{2}()	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.MOCopula{Float64}(λ₁ = 0.5, λ₂ = 0.5, λ₃ = 0.5)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.MixedCopula{Float64}(θ = 0.5,)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.PlackettCopula{Float64}(θ=2.0)	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.RafteryCopula{3, Float64}(θ=0.5)	0.13 k allocs: 6.64 kB	0.13 k allocs: 6.64 kB	1
rng/Copulas.TCopula{2, 4, Matrix{Float64}}(Σ = [1.0 0.5; 0.5 1.0]))	0.076 k allocs: 12 kB	0.076 k allocs: 12 kB	1
rng/Copulas.WCopula()	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/Copulas.tEVCopula{Float64}(ν = 4.0, ρ = 0.5)	2.7 k allocs: 0.392 MB	2.7 k allocs: 0.392 MB	1
rng/EmpiricalCopula{d}(2, 20)	0.258 k allocs: 10.1 kB	0.258 k allocs: 10.1 kB	1
rng/ExtremeValueCopula{2} ⟨EmpiricalEVTail(401 knots)⟩	2 allocs: 1.11 kB	2 allocs: 1.11 kB	1
rng/FGMCopula{3}(θ = [0.1, 0.2, 0.3, 0.4])	0.514 k allocs: 21.6 kB	0.514 k allocs: 21.6 kB	1
rng/SubsetCopula(Copulas.RafteryCopula{3, Float64}(θ=0.5), (2, 1))	0.258 k allocs: 11.1 kB	0.258 k allocs: 11.1 kB	1
time_to_load	0.151 k allocs: 11.5 kB	0.151 k allocs: 11.5 kB	1