Merge pull request #203 from JuliaOpt/fbot/deps

Fix deprecations

Author: mlubin

src/HighLevelInterface/linprog.jl

@@ -1,4 +1,4 @@
-type LinprogSolution
+mutable struct LinprogSolution
     status
     objval
     sol

src/HighLevelInterface/mixintprog.jl

@@ -1,5 +1,5 @@
 
-type MixintprogSolution
+mutable struct MixintprogSolution
     status
     objval
     sol

src/HighLevelInterface/quadprog.jl

@@ -1,5 +1,5 @@
 
-type QuadprogSolution
+mutable struct QuadprogSolution
     status
     objval
     sol

src/SolverInterface/conic_to_lpqp.jl

@@ -3,7 +3,7 @@
 # To enable LPQP support from a Conic solver, define, e.g.,
 # LinearQuadraticModel(s::ECOSSolver) = ConicToLPQPBridge(ConicModel(s))
 
-type ConicToLPQPBridge <: AbstractLinearQuadraticModel
+mutable struct ConicToLPQPBridge <: AbstractLinearQuadraticModel
     m::AbstractConicModel
     A::SparseMatrixCSC{Float64,Int}
     collb::Vector{Float64}
@@ -303,13 +303,13 @@ end
 function setsense!(wrap::ConicToLPQPBridge, sense)
     wrap.sense = sense
 end
-function addvar!{T<:Integer}(wrap::ConicToLPQPBridge, constridx::AbstractArray{T}, constrcoef, l, u, objcoef)
+function addvar!(wrap::ConicToLPQPBridge, constridx::AbstractArray{T}, constrcoef, l, u, objcoef) where T<:Integer
     wrap.A = [wrap.A sparsevec(constridx, constrcoef, size(wrap.A, 1))]
     push!(wrap.collb, l)
     push!(wrap.colub, u)
     push!(wrap.obj, objcoef)
 end
-function addconstr!{T<:Integer}(wrap::ConicToLPQPBridge, varidx::AbstractArray{T}, coef, lb, ub)
+function addconstr!(wrap::ConicToLPQPBridge, varidx::AbstractArray{T}, coef, lb, ub) where T<:Integer
     wrap.A = [wrap.A; sparsevec(varidx, coef, size(wrap.A, 2))']
     push!(wrap.rowlb, lb)
     push!(wrap.rowub, ub)

src/SolverInterface/lpqp_to_conic.jl

@@ -5,7 +5,7 @@
 # Must also implement supportedcones(). List SOC as a supported cone if it can
 # be passed as a quadratic constraint.
 
-type LPQPtoConicBridge <: AbstractConicModel
+mutable struct LPQPtoConicBridge <: AbstractConicModel
     lpqpmodel::AbstractLinearQuadraticModel
     qcp::Bool
     c
@@ -276,7 +276,7 @@ for f in methods_by_tag[:rewrap]
     @eval $f(model::LPQPtoConicBridge) = $f(model.lpqpmodel)
 end
 
-type LPQPWrapperCallbackData <: MathProgCallbackData
+mutable struct LPQPWrapperCallbackData <: MathProgCallbackData
     lpqpcb::MathProgCallbackData
     model::LPQPtoConicBridge
     solvec::Vector{Float64}

src/SolverInterface/nonlinear_to_lpqp.jl

@@ -3,7 +3,7 @@
 # To enable LPQP support from a Nonlinear solver, define, e.g.,
 # LinearQuadraticModel(s::IpoptSolver) = NonlinearToLPQPBridge(NonlinearModel(s))
 
-type QuadConstr
+mutable struct QuadConstr
     linearidx::Vector{Int}
     linearval::Vector{Float64}
     quadrowidx::Vector{Int}
@@ -14,7 +14,7 @@ type QuadConstr
 end
 getdata(q::QuadConstr) = q.linearidx, q.linearval, q.quadrowidx, q.quadcolidx, q.quadval
 
-type NonlinearToLPQPBridge <: AbstractLinearQuadraticModel
+mutable struct NonlinearToLPQPBridge <: AbstractLinearQuadraticModel
     nlpmodel::AbstractNonlinearModel
     LPdata
     Qobj::Tuple{Vector{Int},Vector{Int},Vector{Float64}}
@@ -105,7 +105,7 @@ function getquadconstrduals(model::NonlinearToLPQPBridge)
     return du[(numlinconstr(model)+1):end]
 end
 
-type LPQPEvaluator <: AbstractNLPEvaluator
+mutable struct LPQPEvaluator <: AbstractNLPEvaluator
     A::SparseMatrixCSC{Float64,Int}
     c::Vector{Float64}
     Qi::Vector{Int} # quadratic objective terms

test/nlp.jl

@@ -3,7 +3,7 @@ using MathProgBase
 
 # Here the type represents the complete instance, but it
 # could also store instance data.
-type HS071 <: MathProgBase.AbstractNLPEvaluator
+mutable struct HS071 <: MathProgBase.AbstractNLPEvaluator
 end
 
 # hs071
@@ -121,7 +121,7 @@ function nlptest(solver)
 end
 
 # Same as above but no hessian callback
-type HS071_2 <: MathProgBase.AbstractNLPEvaluator
+mutable struct HS071_2 <: MathProgBase.AbstractNLPEvaluator
 end
 
 # hs071
@@ -188,7 +188,7 @@ end
 
 # a test for convex nonlinear solvers
 
-type QCQP <: MathProgBase.AbstractNLPEvaluator
+mutable struct QCQP <: MathProgBase.AbstractNLPEvaluator
 end
 
 # min x - y
@@ -271,7 +271,7 @@ end
 
 # a test for unconstrained nonlinear solvers
 
-type Rosenbrock <: MathProgBase.AbstractNLPEvaluator
+mutable struct Rosenbrock <: MathProgBase.AbstractNLPEvaluator
 end
 
 # min (1-x)^2 + 100*(y-x^2)^2