fixes #171

src/chordal/merge_strategy/clique_graph.jl

@@ -627,7 +627,7 @@ end
 # Find all the cliques connected to `c` which are given by the nonzeros in `(c, 1:c-1)` and `(c+1:n, c)`.
 
 function find_neighbors(edges::SparseMatrixCSC, c::DefaultInt)
-  neighbors = zeros(Int, 0)
+  neighbors = zeros(DefaultInt, 0)
   _, n = size(edges)
   # find all nonzero columns in row c up to column c
   if c > 1
@@ -678,13 +678,13 @@ end
 # to floats to allow emperical edge weight functions.
 
 function compute_weights!(
-  rows::Vector{Int}, 
-  cols::Vector{Int}, 
+  rows::Vector{DefaultInt}, 
+  cols::Vector{DefaultInt}, 
   snode::Vector{VertexSet}, 
   edge_weight::EdgeWeightMethod
 )
 
-  weights = zeros(Int, length(rows))
+  weights = zeros(DefaultInt, length(rows))
 
   for k = 1:length(rows)
     c_1 = snode[rows[k]]

src/chordal/merge_strategy/parent_child.jl

@@ -1,8 +1,8 @@
 mutable struct ParentChildMergeStrategy <: AbstractMergeStrategy
   stop::Bool
-  clique_index::Int
-  t_fill::Int
-  t_size::Int
+  clique_index::DefaultInt
+  t_fill::DefaultInt
+  t_size::DefaultInt
 
   # PJG: fill and size need to be settable 
   function ParentChildMergeStrategy(; t_fill = 8, t_size = 8)
@@ -32,7 +32,7 @@ end
 
 # Decide whether to merge the two clique candidates.
 
-function evaluate(strategy::ParentChildMergeStrategy, t::SuperNodeTree, cand::Tuple{Int, Int})
+function evaluate(strategy::ParentChildMergeStrategy, t::SuperNodeTree, cand::Tuple{DefaultInt, DefaultInt})
 
   strategy.stop && return false
 
@@ -52,7 +52,7 @@ end
 function merge_two_cliques!(
   strategy::ParentChildMergeStrategy, 
   t::SuperNodeTree, 
-  cand::Tuple{Int, Int}
+  cand::Tuple{DefaultInt, DefaultInt}
 ) 
 
   # determine which clique is the parent
@@ -85,7 +85,7 @@ end
 function update_strategy!(
   strategy::ParentChildMergeStrategy, 
   t::SuperNodeTree, 
-  cand::Tuple{Int, Int}, 
+  cand::Tuple{DefaultInt, DefaultInt}, 
   do_merge::Bool
 )
   # try to merge last node of order 1, then stop

src/chordal/types.jl

@@ -6,7 +6,7 @@
 using DataStructures
 
 abstract type AbstractMergeStrategy end
-VertexSet = OrderedSet{Int}
+VertexSet = OrderedSet{DefaultInt}
 
 #PJG: make a settable option
 @enum EdgeWeightMethod begin 

src/json.jl

@@ -189,7 +189,7 @@ function parse(dict::AbstractDict, ::Type{Settings{T}}) where T
     if key == "GenPowerConeT"
         vals = dict[key]
         α = convert(Vector{Float64}, vals[1])
-        dim2 = Int(vals[2])
+        dim2 = DefaultInt(vals[2])
         return coneT(α,dim2)
 
     else 

src/kktsolvers/kktsolver_directldl.jl

@@ -152,7 +152,7 @@ end
 
 #updates KKT matrix values
 function _update_values_KKT!(
-    KKT::SparseMatrixCSC{T,Int},
+    KKT::SparseMatrixCSC{T,DefaultInt},
     index::AbstractVector{Ti},
     values::AbstractVector{T}
 ) where{T,Ti}