Merge pull request #334 from jump-dev/ml/jump-dev

update for migration to jump-dev

Project.toml

@@ -1,6 +1,6 @@
 name = "Gurobi"
 uuid = "2e9cd046-0924-5485-92f1-d5272153d98b"
-repo = "https://github.com/JuliaOpt/Gurobi.jl"
+repo = "https://github.com/jump-dev/Gurobi.jl"
 version = "0.8.1"
 
 [deps]

README.md

@@ -14,7 +14,7 @@ set_optimizer_attribute(model, "NonConvex", 2)
 
 ## Use with JuMP
 
-We highly recommend that you use the *Gurobi.jl* package with higher level packages such as [JuMP.jl](https://github.com/JuliaOpt/JuMP.jl).
+We highly recommend that you use the *Gurobi.jl* package with higher level packages such as [JuMP.jl](https://github.com/jump-dev/JuMP.jl).
 
 This can be done using the ``Gurobi.Optimizer`` object. Here is how to create a *JuMP* model that uses Gurobi as the solver. 
 ```julia
@@ -28,7 +28,7 @@ See the [Gurobi Documentation](https://www.gurobi.com/documentation/current/refm
 
 ## Reusing the same Gurobi environment for multiple solves
 
-When using this package via other packages such as [JuMP.jl](https://github.com/JuliaOpt/JuMP.jl), the default behavior is to obtain a new Gurobi license token every time a model is created and solved. If you are using Gurobi in a setting where the number of concurrent Gurobi uses is limited (e.g. ["Single-Use" or "Floating-Use" licenses](http://www.gurobi.com/products/licensing-pricing/licensing-overview)), you might instead prefer to obtain a single license token that is shared by all models that your program solves. You can do this by passing a Gurobi Environment object as the first parameter to `Gurobi.Optimizer`. For example, the follow code snippet solves multiple problems with JuMP using the same license token:
+When using this package via other packages such as [JuMP.jl](https://github.com/jump-dev/JuMP.jl), the default behavior is to obtain a new Gurobi license token every time a model is created and solved. If you are using Gurobi in a setting where the number of concurrent Gurobi uses is limited (e.g. ["Single-Use" or "Floating-Use" licenses](http://www.gurobi.com/products/licensing-pricing/licensing-overview)), you might instead prefer to obtain a single license token that is shared by all models that your program solves. You can do this by passing a Gurobi Environment object as the first parameter to `Gurobi.Optimizer`. For example, the follow code snippet solves multiple problems with JuMP using the same license token:
 
 ```julia
 using JuMP, Gurobi
@@ -133,7 +133,7 @@ MOI.get(model, Gurobi.VariableAttribute("LB"), x)  # Returns 0.0
 
 MOI.get(model, Gurobi.ModelAttribute("NumConstrs")) # Returns 1
 ```
-Note that we are using [JuMP in direct-mode](https://www.juliaopt.org/JuMP.jl/v0.20.0/solvers/#Direct-mode-1). 
+Note that we are using [JuMP in direct-mode](https://jump.dev/JuMP.jl/v0.20.0/solvers/#Direct-mode-1).
 A complete list of supported Gurobi attributes can be found in [their online documentation](https://www.gurobi.com/documentation/8.1/refman/attributes.html).
 
 *Most users should not need to use the low-level API detailed in the following sections.*
@@ -394,7 +394,7 @@ solution = linprog(f, A, '<', b, lb, Inf, GurobiSolver(Presolve=0))
 
 ##### Example 1.4: Linear programming with JuMP (Algebraic model)
 
-Using [JuMP](https://github.com/JuliaOpt/JuMP.jl), we can specify linear programming problems using a more
+Using [JuMP](https://github.com/jump-dev/JuMP.jl), we can specify linear programming problems using a more
 natural algebraic approach.
 
 ```julia

deps/build.jl

@@ -153,7 +153,7 @@ if !found && !haskey(ENV, "GUROBI_JL_SKIP_LIB_CHECK")
     diagnose_gurobi_install()
     error("""
     Unable to locate Gurobi installation. If the advice above did not help,
-    open an issue at https://github.com/JuliaOpt/Gurobi.jl and post the full
+    open an issue at https://github.com/jump-dev/Gurobi.jl and post the full
     print-out of this diagnostic attempt.
     """)
 end

src/Gurobi.jl

@@ -6,7 +6,7 @@ if isfile(_DEPS_FILE)
 else
     error("""
         Gurobi not properly installed. Please run Pkg.build(\"Gurobi\"). For
-        more information go to https://github.com/JuliaOpt/Gurobi.jl
+        more information go to https://github.com/jump-dev/Gurobi.jl
     """)
 end
 

src/MPB_wrapper.jl

@@ -351,7 +351,7 @@ function updatemodel!(m::GurobiMathProgModel)
             You have encountered a known bug in Gurobi. Any information you query from the model may be incorrect.
             This bug has existed since the first version of Gurobi but is fixed in Gurobi v7.0.
 
-            For more information go to https://github.com/JuliaOpt/Gurobi.jl/issues/60
+            For more information go to https://github.com/jump-dev/Gurobi.jl/issues/60
             Please leave a comment stating that you encountered this bug! We would like to know how prevalent it is.
         """)
     end

test/MOI/MOI_wrapper.jl

@@ -180,7 +180,7 @@ end
 end
 
 @testset "LQOI Issue #38" begin
-    # https://github.com/JuliaOpt/LinQuadOptInterface.jl/issues/38#issuecomment-407625187
+    # https://github.com/jump-dev/LinQuadOptInterface.jl/issues/38#issuecomment-407625187
     _getinner(opt::Gurobi.Optimizer) = opt.inner
     @inferred _getinner(Gurobi.Optimizer(GUROBI_ENV))
 end

test/MathProgBase/mathprog.jl

@@ -28,7 +28,7 @@ include(mathprogbase_file("conicinterface.jl"))
 coniclineartest(GurobiSolver(OutputFlag=0))
 # The following tests are not passing on Gurobi 8.0.0 due to known bug
 # on infeasibility check of SOC models.
-# https://github.com/JuliaOpt/Gurobi.jl/pull/123
+# https://github.com/jump-dev/Gurobi.jl/pull/123
 if Gurobi.version < v"8.0.0"
     conicSOCtest(GurobiSolver(OutputFlag=0))
     conicSOCRotatedtest(GurobiSolver(OutputFlag=0))