Implement FileInstance

test/solvers/learning_test.jl

@@ -58,33 +58,4 @@ using Gurobi
         stats = solve!(solver, instance)
     end
 
-    @testset "file model" begin
-        # Create basic model
-        model = Model()
-        @variable(model, x, Bin)
-        @variable(model, y, Bin)
-        @objective(model, Max, x + y)
-        @feature(x, [1.0])
-        @category(x, "cat1")
-        @feature(model, [5.0])
-
-        # Solve
-        instance = JuMPInstance(model)
-        solver = LearningSolver(Gurobi.Optimizer)
-        stats = solve!(solver, instance)
-        @test length(instance.py.samples) == 1
-
-        # Save model to file
-        filename = tempname()
-        save(filename, instance)
-        @test isfile(filename)
-
-        # Read model from file
-        loaded = load_jump_instance(filename)
-        x = variable_by_name(loaded.model, "x")
-        @test loaded.model.ext[:miplearn][:variable_features][x] == [1.0]
-        @test loaded.model.ext[:miplearn][:variable_categories][x] == "cat1"
-        @test loaded.model.ext[:miplearn][:instance_features] == [5.0]
-        @test length(loaded.py.samples) == 1
-    end
 end