Remove support for SingleVariable objecive

Project.toml

@@ -1,7 +1,7 @@
 name = "SDPA"
 uuid = "b9a10b5b-afa4-512f-a053-bb3d8080febc"
 repo = "https://github.com/JuliaOpt/SDPA.jl.git"
-version = "0.2.0"
+version = "0.2.1"
 
 [deps]
 BinaryProvider = "b99e7846-7c00-51b0-8f62-c81ae34c0232"
@@ -14,7 +14,7 @@ SemidefiniteModels = "169818f4-1a3d-53bf-95b3-11177825b1e3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [compat]
-BinaryProvider = "≥ 0.5.3"
+BinaryProvider = "0.5.3"
 CxxWrap = "= 0.8.1"
 MathOptInterface = "0.9.5"
 MathProgBase = "0.7"

src/MOI_wrapper.jl

@@ -93,8 +93,7 @@ end
 function MOI.supports(
     optimizer::Optimizer,
     ::Union{MOI.ObjectiveSense,
-            MOI.ObjectiveFunction{<:Union{MOI.SingleVariable,
-                                          MOI.ScalarAffineFunction{Cdouble}}}})
+            MOI.ObjectiveFunction{MOI.ScalarAffineFunction{Cdouble}}})
     return true
 end
 
@@ -123,7 +122,7 @@ function MOIU.allocate(optimizer::Optimizer, ::MOI.ObjectiveSense, sense::MOI.Op
     # To be sure that it is done before load(optimizer, ::ObjectiveFunction, ...), we do it in allocate
     optimizer.objsign = sense == MOI.MIN_SENSE ? -1 : 1
 end
-function MOIU.allocate(::Optimizer, ::MOI.ObjectiveFunction, ::Union{MOI.SingleVariable, MOI.ScalarAffineFunction}) end
+function MOIU.allocate(::Optimizer, ::MOI.ObjectiveFunction, ::MOI.ScalarAffineFunction) end
 
 function MOIU.load(::Optimizer, ::MOI.ObjectiveSense, ::MOI.OptimizationSense) end
 # Loads objective coefficient α * vi
@@ -145,9 +144,6 @@ function MOIU.load(optimizer::Optimizer, ::MOI.ObjectiveFunction, f::MOI.ScalarA
         end
     end
 end
-function MOIU.load(optimizer::Optimizer, ::MOI.ObjectiveFunction, f::MOI.SingleVariable)
-    load_objective_term!(optimizer, one(Cdouble), f.variable)
-end
 
 function new_block(optimizer::Optimizer, set::MOI.Nonnegatives)
     push!(optimizer.blockdims, -MOI.dimension(set))