Revision 13cca5311395bcf616b2ecc98281ea167f8c6c52 authored by Javier Barbero on 10 April 2021, 13:17:22 UTC, committed by Javier Barbero on 10 April 2021, 13:17:22 UTC
1 parent 376bfef
deaholder.jl
# Tests for Hölder DEA Models
@testset "HolderDEAModel" begin
# ------------------
# Input oriented
# ------------------
X = [2 2; 1 4; 4 1; 4 3; 5 5; 6 1; 2 5; 1.6 8]
Y = [1; 1; 1; 1; 1; 1; 1; 1]
# Hölder l = 1
holderio1 = deaholder(X, Y, l = 1, orient = :Input, rts = :VRS)
@test typeof(holderio1) == HolderL1DEAModel
@test nobs(holderio1) == 8
@test ninputs(holderio1) == 2
@test noutputs(holderio1) == 1
@test efficiency(holderio1) ≈ [0; 0; 0; 2.0; 4.0; 0.0; 1.0; 0.6]
@test efficiency(holderio1, :min) == [1; 1; 1; 2; 1; 2; 1; 1]
@test convert(Matrix, peers(holderio1)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0]
@test slacks(holderio1, :X) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 1.0; 2.0 0.0; 0.0 1.0; 0.0 4.0]
@test slacks(holderio1, :Y) ≈ zeros(8,1)
@test efficiency(deaholder(targets(holderio1, :X), targets(holderio1, :Y), l = 1, orient = :Input, rts = :VRS)) ≈ zeros(8,1)
# Test no slacks
holderio1noslacks = deaholder(X, Y, l = 1, orient = :Input, rts = :VRS, slack = false)
@test efficiency(holderio1noslacks) == efficiency(holderio1)
@test isempty(slacks(holderio1noslacks, :X)) == 1
@test isempty(slacks(holderio1noslacks, :Y)) == 1
# Weighted (weakly)
holderio1weight = deaholder(X, Y, l = 1, orient = :Input, rts = :VRS, weight = true)
@test efficiency(holderio1weight) ≈ [0; 0; 0; 0.625; 0.8; 0.0; 0.5; 0.375]
# Hölder l = 2
logs, value = Test.collect_test_logs() do
holderio2 = deaholder(X, Y, l = 2, orient = :Input, rts = :VRS, optimizer = DEAOptimizer(:NLP))
end
@test typeof(holderio2) == HolderL2DEAModel
@test nobs(holderio2) == 8
@test ninputs(holderio2) == 2
@test noutputs(holderio2) == 1
if (Base.find_package("Gurobi") !== nothing)
using Gurobi
@info ("Testing Hölder L2 with Gurobi")
holderio2 = deaholder(X, Y, l = 2, orient = :Input, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holderio2) ≈ [0.0; 0.0; 0.0; 1.788854; 4.0; 0.0; 1.0; 0.6] atol = 1e-5
@test slacks(holderio2, :X) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 1.0 0.0; 0.0 0.0; 0.0 1.0; 0.0 4.0]
@test slacks(holderio2, :Y) ≈ zeros(8,1)
@test convert(Matrix, peers(holderio2)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.4 0.0 0.6 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0]
@test efficiency(deaholder(targets(holderio2, :X), targets(holderio2, :Y), l = 2, orient = :Input, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))) ≈ zeros(8,1)
# Weighted (weakly)
holderio2weight = deaholder(X, Y, l = 2, orient = :Input, rts = :VRS, weight = true, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holderio2weight) ≈ [0.0; 0.0; 0.0; 0.554700; 0.8; 0.0; 0.468521; 0.375] atol = 1e-5
else
# Function runs without error
@test occursin("Model solved with Ipopt.Optimizer is innacuate. Use a solver that supports SOS1 constraints.", string(logs))
# Weighted (weakly)
logs, value = Test.collect_test_logs() do
holderio2weight = deaholder(X, Y, l = 2, orient = :Input, rts = :VRS, weight = true, optimizer = DEAOptimizer(:NLP))
end
end
# Hölder l = Inf
holderioinf = deaholder(X, Y, l = Inf, orient = :Input, rts = :VRS)
@test typeof(holderioinf) == HolderLInfDEAModel
@test nobs(holderioinf) == 8
@test ninputs(holderioinf) == 2
@test noutputs(holderioinf) == 1
@test efficiency(holderioinf) ≈ [0.0; 0.0; 0.0; 4/3; 3.0; 0.0; 1.0; 0.6]
@test convert(Matrix, peers(holderioinf)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
2/3 0.0 1/3 0.0 0.0 0.0 0.0 0.0
1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0]
@test slacks(holderioinf, :X) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 2.0 0.0; 0.0 0.0; 0.0 3.4]
@test slacks(holderioinf, :Y) ≈ zeros(8,1)
@test efficiency(deaholder(targets(holderioinf, :X), targets(holderioinf, :Y), l = 1, orient = :Input, rts = :VRS)) ≈ zeros(8,1) atol = 1e-5
# Test no slacks
holderioinfnoslacks = deaholder(X, Y, l = Inf, orient = :Input, rts = :VRS, slack = false)
@test efficiency(holderioinfnoslacks) == efficiency(holderioinf)
@test isempty(slacks(holderioinfnoslacks, :X)) == 1
@test isempty(slacks(holderioinfnoslacks, :Y)) == 1
# Weighted (weakly)
holderioinfweight = deaholder(X, Y, l = Inf, orient = :Input, rts = :VRS, weight = true)
@test efficiency(holderioinfweight) ≈ [0; 0; 0; 0.4; 0.6; 0.0; 1/3; 0.375]
# Print
show(IOBuffer(), holderio1)
show(IOBuffer(), holderio1noslacks)
show(IOBuffer(), holderio1weight)
show(IOBuffer(), holderio2)
show(IOBuffer(), holderio2weight)
show(IOBuffer(), holderioinf)
show(IOBuffer(), holderioinfnoslacks)
show(IOBuffer(), holderioinfweight)
# ------------------
# Output oriented
# ------------------
X = [1; 1; 1; 1; 1; 1; 1; 1]
Y = [7 7; 4 8; 8 4; 3 5; 3 3; 8 2; 6 4; 1.5 5]
# Hölder l = 1
holderoo1 = deaholder(X, Y, l = 1, orient = :Output, rts = :VRS)
@test typeof(holderoo1) == HolderL1DEAModel
@test nobs(holderoo1) == 8
@test ninputs(holderoo1) == 1
@test noutputs(holderoo1) == 2
@test efficiency(holderoo1) ≈ [0; 0; 0; 3.0; 5.0; 0.0; 2.0; 3.0]
@test efficiency(holderoo1, :min) == [2; 2; 2; 3; 2; 2; 2; 3]
@test convert(Matrix, peers(holderoo1)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0]
@test slacks(holderoo1, :X) ≈ zeros(8,1)
@test slacks(holderoo1, :Y) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 1.0 0.0; 0.0 1.0; 0.0 2.0; 0.0 0.0; 2.5 0.0]
@test efficiency(deaholder(targets(holderoo1, :X), targets(holderoo1, :Y), l = 1, orient = :Output, rts = :VRS)) ≈ zeros(8,1) atol = 1e-5
# Test no slacks
holderoo1noslacks = deaholder(X, Y, l = 1, orient = :Output, rts = :VRS, slack = false)
@test efficiency(holderoo1noslacks) == efficiency(holderoo1)
@test isempty(slacks(holderoo1noslacks, :X)) == 1
@test isempty(slacks(holderoo1noslacks, :Y)) == 1
# Weighted (weakly)
holderoo1weight = deaholder(X, Y, l = 1, orient = :Output, rts = :VRS, weight = true)
@test efficiency(holderoo1weight) ≈ [0; 0; 0; 0.6; 5/3; 0.0; 1/3; 0.6]
# Hölder l = 2
logs, value = Test.collect_test_logs() do
holderoo2 = deaholder(X, Y, l = 2, orient = :Output, rts = :VRS, optimizer = DEAOptimizer(:NLP))
end
@test typeof(holderoo2) == HolderL2DEAModel
@test nobs(holderoo2) == 8
@test ninputs(holderoo2) == 1
@test noutputs(holderoo2) == 2
if (Base.find_package("Gurobi") !== nothing)
using Gurobi
@info ("Testing Hölder L2 with Gurobi")
holderoo2 = deaholder(X, Y, l = 2, orient = :Output, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holderoo2) ≈ [0.0; 0.0; 0.0; 3.0; 5.0; 0.0; 1.897367; 3.0] atol = 1e-5
@test slacks(holderoo2, :X) ≈ zeros(8,1)
@test slacks(holderoo2, :Y) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 1.0 0.0; 1.0 0.0; 0.0 0.0; 0.0 0.0; 2.5 0.0]
@test convert(Matrix, peers(holderoo2)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 1.0 0.0 0.0
0.2 0.0 0.8 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0]
@test efficiency(deaholder(targets(holderoo2, :X), targets(holderoo2, :Y), l = 2, orient = :Output, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))) ≈ zeros(8,1) atol = 1e-5
# Weighted (weakly)
holderoo2weight = deaholder(X, Y, l = 2, orient = :Output, rts = :VRS, weight = true, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holderoo2weight) ≈ [0.0; 0.0; 0.0; 0.6; 5/3; 0.0; 0.325396; 0.6] atol = 1e-5
else
# Function runs without error
@test occursin("Model solved with Ipopt.Optimizer is innacuate. Use a solver that supports SOS1 constraints.", string(logs))
# Weighted (weakly)
logs, value = Test.collect_test_logs() do
holderoo2weight = deaholder(X, Y, l = 2, orient = :Output, rts = :VRS, weight = true, optimizer = DEAOptimizer(:NLP))
end
end
# Hölder l = Inf
holderooinf = deaholder(X, Y, l = Inf, orient = :Output, rts = :VRS)
@test typeof(holderooinf) == HolderLInfDEAModel
@test nobs(holderooinf) == 8
@test ninputs(holderooinf) == 1
@test noutputs(holderooinf) == 2
@test efficiency(holderooinf) ≈ [0.0; 0.0; 0.0; 2.5; 4.0; 0.0; 1.5; 2.875]
@test convert(Matrix, peers(holderooinf)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.5 0.5 0.0 0.0 0.0 0.0 0.0 0.0
1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0
0.125 0.875 0.0 0.0 0.0 0.0 0.0 0.0]
@test slacks(holderooinf, :X) ≈ zeros(8,1)
@test slacks(holderooinf, :Y) ≈ [0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 0.0; 0.0 2.0; 0.0 0.0; 0.0 0.0]
@test efficiency(deaholder(targets(holderooinf, :X), targets(holderooinf, :Y), l = 1, orient = :Output, rts = :VRS)) ≈ zeros(8,1) atol = 1e-5
# Test no slacks
holderooinfnoslacks = deaholder(X, Y, l = Inf, orient = :Output, rts = :VRS, slack = false)
@test efficiency(holderooinfnoslacks) == efficiency(holderooinf)
@test isempty(slacks(holderooinfnoslacks, :X)) == 1
@test isempty(slacks(holderooinfnoslacks, :Y)) == 1
# Weighted (weakly)
holderooinfweight = deaholder(X, Y, l = Inf, orient = :Output, rts = :VRS, weight = true)
@test efficiency(holderooinfweight) ≈ [0.0; 0.0; 0.0; 5/9; 4/3; 0.0; 3/11; 0.6]
# Print
show(IOBuffer(), holderoo1)
show(IOBuffer(), holderoo1noslacks)
show(IOBuffer(), holderoo1weight)
show(IOBuffer(), holderoo2)
show(IOBuffer(), holderoo2weight)
show(IOBuffer(), holderooinf)
show(IOBuffer(), holderooinfnoslacks)
show(IOBuffer(), holderooinfweight)
# ------------------
# Graph
# ------------------
X = [2; 4; 8; 12; 6; 14; 14; 9.412]
Y = [1; 5; 8; 9; 3; 7; 9; 2.353]
# Hölder l = 1
holdergr1 = deaholder(X, Y, l = 1, orient = :Graph, rts = :VRS)
@test typeof(holdergr1) == HolderL1DEAModel
@test nobs(holdergr1) == 8
@test ninputs(holdergr1) == 1
@test noutputs(holdergr1) == 1
@test efficiency(holdergr1) ≈ [0; 0; 0; 0.0; 3.0; 2.0; 0.0; 6.0]
@test efficiency(holdergr1, :min) == [1; 1; 1; 1; 1; 2; 2; 2]
@test convert(Matrix, peers(holdergr1)) ≈
[1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.5 0.5 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 0.0 0.647 0.353 0.0 0.0 0.0 0.0]
@test slacks(holdergr1, :X) ≈ [0; 0; 0; 0.0; 0.0; 2.0; 2.0; 0.0]
@test slacks(holdergr1, :Y) ≈ zeros(8,1) atol = 1e-5
@test efficiency(deaholder(targets(holdergr1, :X), targets(holdergr1, :Y), l = 1, orient = :Graph, rts = :VRS)) ≈ zeros(8,1) atol = 1e-5
# Test no slacks
holdergr1noslacks = deaholder(X, Y, l = 1, orient = :Graph, rts = :VRS, slack = false)
@test efficiency(holdergr1noslacks) == efficiency(holdergr1)
@test isempty(slacks(holdergr1noslacks, :X)) == 1
@test isempty(slacks(holdergr1noslacks, :Y)) == 1
# Weighted (weakly)
holdergr1weight = deaholder(X, Y, l = 1, orient = :Graph, rts = :VRS, weight = true)
@test efficiency(holdergr1weight) ≈ [0; 0; 0; 0.0; 0.5; 2/7; 0.0; 0.715629] atol = 1e-5
# Hölder l = 2
logs, value = Test.collect_test_logs() do
holdergr2 = deaholder(X, Y, l = 2, orient = :Graph, rts = :VRS, optimizer = DEAOptimizer(:NLP))
end
@test typeof(holdergr2) == HolderL2DEAModel
@test nobs(holdergr2) == 8
@test ninputs(holdergr2) == 1
@test noutputs(holdergr2) == 1
if (Base.find_package("Gurobi") !== nothing)
using Gurobi
@info ("Testing Hölder L2 with Gurobi")
holdergr2 = deaholder(X, Y, l = 2, orient = :Graph, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holdergr2) ≈ [0.0; 0.0; 0.0; 0.0; 2.683282; 2.0; 0.0; 5.3648] atol = 1e-5
@test slacks(holdergr2, :X) ≈ [0.0; 0.0; 0.0; 0.0; 0.0; 2.0; 0.0; 0.0]
@test slacks(holdergr2, :Y) ≈ [0.0; 0.0; 0.0; 0.0; 0.0; 0.0; 0.0; 0.0]
@test convert(Matrix, peers(holdergr2)) ≈
[1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.2 0.8 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0
0.0 0.45172 0.54828 0.0 0.0 0.0 0.0 0.0]
@test efficiency(deaholder(targets(holdergr2, :X), targets(holdergr2, :Y), l = 2, orient = :Graph, rts = :VRS, optimizer = DEAOptimizer(Gurobi.Optimizer))) ≈ zeros(8,1) atol = 1e-5
# Weighted (weakly)
holdergr2weight = deaholder(X, Y, l = 2, orient = :Graph, rts = :VRS, weight = true, optimizer = DEAOptimizer(Gurobi.Optimizer))
@test efficiency(holdergr2weight) ≈ [0.0; 0.0; 0.0; 0.0; 0.485071; 2/7; 0.0; 0.710103] atol = 1e-5
else
# Function runs without error
@test occursin("Model solved with Ipopt.Optimizer is innacuate. Use a solver that supports SOS1 constraints.", string(logs))
# Weighted (weakly)
logs, value = Test.collect_test_logs() do
holdergr2weight = deaholder(X, Y, l = 2, orient = :Graph, rts = :VRS, weight = true, optimizer = DEAOptimizer(:NLP))
end
end
# Hölder l = Inf
holdergrinf = deaholder(X, Y, l = Inf, orient = :Graph, rts = :VRS)
@test typeof(holdergrinf) == HolderLInfDEAModel
@test nobs(holdergrinf) == 8
@test ninputs(holdergrinf) == 1
@test noutputs(holdergrinf) == 1
@test efficiency(holdergrinf) ≈ [0.0; 0.0; 0.0; 0.0; 2.0; 2.0; 0.0; 3.832]
@test convert(Matrix, peers(holdergrinf)) ≈
[ 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 1.0 0.0 0.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 0.0 0.0 1.0 0.0 0.0 0.0 0.0
0.0 0.605 0.395 0.0 0.0 0.0 0.0 0.0]
@test slacks(holdergrinf, :X) ≈ [0.0; 0.0; 0.0; 0.0; 0.0; 0.0; 2.0; 0.0] atol = 1e-5
@test slacks(holdergrinf, :Y) ≈ [0.0; 0.0; 0.0; 0.0; 0.0; 0.0; 0.0; 0.0] atol = 1e-5
@test efficiency(deaholder(targets(holdergrinf, :X), targets(holdergrinf, :Y), l = 1, orient = :Graph, rts = :VRS)) ≈ zeros(8,1) atol = 1e-5
# Test no slacks
holdergrinfnoslacks = deaholder(X, Y, l = Inf, orient = :Graph, rts = :VRS, slack = false)
@test efficiency(holdergrinfnoslacks) == efficiency(holdergrinf)
@test isempty(slacks(holdergrinfnoslacks, :X)) == 1
@test isempty(slacks(holdergrinfnoslacks, :Y)) == 1
# Weighted (weakly)
holdergrinfweight = deaholder(X, Y, l = Inf, orient = :Graph, rts = :VRS, weight = true)
@test efficiency(holdergrinfweight) ≈ [0.0; 0.0; 0.0; 0.0; 0.4; 5/21; 0.0; 0.636115] atol = 1e-5
# Print
show(IOBuffer(), holdergr1)
show(IOBuffer(), holdergr1noslacks)
show(IOBuffer(), holdergr1weight)
show(IOBuffer(), holdergr2)
show(IOBuffer(), holdergr2weight)
show(IOBuffer(), holdergrinf)
show(IOBuffer(), holdergrinfnoslacks)
show(IOBuffer(), holdergrinfweight)
# ------------------
# Test errors
# ------------------
@test_throws DimensionMismatch deaholder([1; 2 ; 3], [4 ; 5], l = 1) # Different number of observations
@test_throws DimensionMismatch deaholder([1; 2], [4 ; 5], l = 1, Xref = [1; 2; 3; 4]) # Different number of observations in reference sets
@test_throws DimensionMismatch deaholder([1 1; 2 2], [4 4; 5 5], l = 1, Xref = [1 1 1; 2 2 2]) # Different number of inputs
@test_throws DimensionMismatch deaholder([1 1; 2 2], [4 4; 5 5], l = 1, Yref = [4 4 4; 5 5 5]) # Different number of inputs
@test_throws ArgumentError deaholder([1; 2; 3], [4; 5; 6], l = 1, orient = :Error) # Invalid orientation
@test_throws ArgumentError deaholder([1; 2; 3], [4; 5; 6], l = 1, rts = :Error) # Invalid returns to scale
@test_throws ArgumentError deaholder([1; 2; 3], [4; 5; 6], l = 2, rts = :Error) # CRS in L2
@test_throws ArgumentError deaholder([1; 2; 3], [4; 5; 6], l = 5) # Invalid r
@test_throws ArgumentError deaholder([1; 2; 3], [4; 5; 6], l = 2, rts = :VRS) # No solver
@test_throws ArgumentError efficiency(holderio1, :Error) # Invalid efficiency type
end
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