completely remove Clp from tests and dependencies

Project.toml

@@ -21,7 +21,6 @@ SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
-Clp = "0.8"
 DistributedData = "0.1.3"
 Documenter = "0.26"
 JSON = "0.21"
@@ -36,7 +35,6 @@ Tulip = "0.7"
 julia = "1"
 
 [extras]
-Clp = "e2554f3b-3117-50c0-817c-e040a3ddf72d"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
@@ -46,4 +44,4 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Tulip = "6dd1b50a-3aae-11e9-10b5-ef983d2400fa"
 
 [targets]
-test = ["Clp", "Downloads", "OSQP", "SHA", "Test", "Tulip"]
+test = ["Downloads", "OSQP", "SHA", "Test", "Tulip"]

test/analysis/flux_balance_analysis.jl

@@ -5,11 +5,6 @@
     sol = JuMP.value.(lp[:x])
     @test sol ≈ [1.0, 2.0]
 
-    lp = flux_balance_analysis(cp, Clp.Optimizer)
-    @test termination_status(lp) === MOI.OPTIMAL
-    sol = JuMP.value.(lp[:x])
-    @test sol ≈ [1.0, 2.0]
-
     # test the maximization of the objective
     cp = test_simpleLP2()
     lp = flux_balance_analysis(cp, Tulip.Optimizer)

test/base/solver.jl

 
 @testset "Solve LP" begin
     cp = test_simpleLP()
-    optimizer = Tulip.Optimizer
-    lp = optimize_model(cp, optimizer)
-    @test termination_status(lp) === MOI.OPTIMAL
-    sol = JuMP.value.(lp[:x])
-    @test sol ≈ [1.0, 2.0]
-
-    optimizer = Clp.Optimizer
-    lp = optimize_model(cp, optimizer)
+    lp = optimize_model(cp, Tulip.Optimizer)
     @test termination_status(lp) === MOI.OPTIMAL
     sol = JuMP.value.(lp[:x])
     @test sol ≈ [1.0, 2.0]

test/runtests.jl

 using COBREXA, Test
 
-using Clp
 using Distributed
 using Downloads
 using JSON