From 18b1fa61deb8b0d6d9d06fc9adcbd0caaf7f70b6 Mon Sep 17 00:00:00 2001
From: st elmo <stelmozors@gmail.com>
Date: Tue, 30 Mar 2021 17:08:41 +0200
Subject: [PATCH] change solveLP back to optimizeModel

---
 src/analysis/fba.jl | 2 +-
 src/base/solver.jl  | 2 +-
 test/base/solver.jl | 4 ++--
 3 files changed, 4 insertions(+), 4 deletions(-)

diff --git a/src/analysis/fba.jl b/src/analysis/fba.jl
index ad471bba3..431c62cae 100644
--- a/src/analysis/fba.jl
+++ b/src/analysis/fba.jl
@@ -11,7 +11,7 @@ s.t. S x = b
 Returns a solved model from [`optimizeModel`](@ref).
 """
 fluxBalanceAnalysis(model::M, optimizer) where {M<:MetabolicModel} =
-    solveLP(model, optimizer; sense = MOI.MAX_SENSE)
+optimizeModel(model, optimizer; sense = MOI.MAX_SENSE)
 
 """
     fba(model::CobraModel, optimizer; objective_func::Union{Reaction, Array{Reaction, 1}}=Reaction[], weights=Float64[], solver_attributes=Dict{Any, Any}(), constraints=Dict{String, Tuple{Float64,Float64}}())
diff --git a/src/base/solver.jl b/src/base/solver.jl
index 25d32aab6..5e52a9cb1 100644
--- a/src/base/solver.jl
+++ b/src/base/solver.jl
@@ -23,7 +23,7 @@ end
 """
 Use JuMP to solve an instance of LinearModel
 """
-function solveLP(model::LM, optimizer; sense = MOI.MIN_SENSE) where {LM<:MetabolicModel}
+function optimizeModel(model::LM, optimizer; sense = MOI.MIN_SENSE) where {LM<:MetabolicModel}
     optimization_model, x, _, _, _ = makeOptimizationModel(model, optimizer; sense = sense)
     JuMP.optimize!(optimization_model)
     return (optimization_model, x)
diff --git a/test/base/solver.jl b/test/base/solver.jl
index 349ebe784..813b9c30c 100644
--- a/test/base/solver.jl
+++ b/test/base/solver.jl
@@ -2,13 +2,13 @@
 @testset "Solve LP" begin
     cp = test_simpleLP()
     optimizer = GLPK.Optimizer
-    (lp, x) = solveLP(cp, optimizer)
+    (lp, x) = optimizeModel(cp, optimizer)
     @test termination_status(lp) === MOI.OPTIMAL
     sol = JuMP.value.(x)
     @test sol ≈ [1.0, 2.0]
 
     optimizer = Clp.Optimizer
-    (lp, x) = solveLP(cp, optimizer)
+    (lp, x) = optimizeModel(cp, optimizer)
     @test termination_status(lp) === MOI.OPTIMAL
     sol = JuMP.value.(x)
     @test sol ≈ [1.0, 2.0]
-- 
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