drop Julia 0.7 and add testing on 1.1

.travis.yml

@@ -4,8 +4,8 @@ os:
 #   - osx # Disable to speed up CI. JuMP has no binary dependency so the result
           # with osx and linux should be similar.
 julia:
-    - 0.7
     - 1.0
+    - 1.1
 # This is left as an example for the next big version switch.
 # matrix:
 #     allow_failures:

REQUIRE

@@ -1,4 +1,4 @@
-julia 0.7
+julia 1.0
 MathOptInterface 0.8.1 0.9
 ForwardDiff 0.5 0.11
 Calculus

appveyor.yml

@@ -1,7 +1,7 @@
 environment:
   matrix:
-# - julia_version: 0.7 # Disabled to speed up CI, tested on Linux with Travis
-  - julia_version: 1.0
+# - julia_version: 1.0 # Disabled to speed up CI, tested on Linux with Travis
+  - julia_version: 1.1
 
 platform:
   - x86 # 32-bit

src/parse_expr.jl

@@ -4,13 +4,8 @@
 #  file, You can obtain one at http://mozilla.org/MPL/2.0/.
 
 function _try_parse_idx_set(arg::Expr)
-    # The parsing of `x[i=1]` changed from `i=1; getindex(x, 1)` to
-    # `getindex(x; i=1)` from Julia v0.7 to Julia v1 so we need `:kw` for
-    # Julia v1.0 and :(=) for Julia v0.7
-    # The parsing of `[i=1]` is however still the same way so we need :(=) for
-    # both
-    is_julia_v1 = @static (VERSION >= v"1.0-" ? true : false)
-    if (is_julia_v1 && arg.head === :kw) || arg.head === :(=)
+    # [i=1] and x[i=1] parse as :(=) and :kw, respectively.
+    if arg.head === :kw || arg.head === :(=)
         @assert length(arg.args) == 2
         return true, arg.args[1], arg.args[2]
     elseif isexpr(arg, :call) && arg.args[1] === :in

test/SparseAxisArray.jl

@@ -2,15 +2,10 @@
     function sparse_test(d, sum_d, d2, d3, dsqr, d_bads)
         sqr(x) = x^2
         @testset "Colon indexing" begin
-            if VERSION < v"0.7-"
-                @test_throws ArgumentError d[:, 1]
-                @test_throws ArgumentError d[:a, :]
-            else
-                err = ArgumentError("Indexing with `:` is not supported by" *
-                                    " Containers.SparseAxisArray")
-                @test_throws err d[:, 1]
-                @test_throws err d[:a, :]
-            end
+            err = ArgumentError("Indexing with `:` is not supported by" *
+                                " Containers.SparseAxisArray")
+            @test_throws err d[:, 1]
+            @test_throws err d[:a, :]
         end
         @testset "Map" begin
             @test d == @inferred map(identity, d)
@@ -29,30 +24,19 @@
             @test d == identity.(d)
             @test dsqr == sqr.(d)
             @testset "Different array" begin
-                if VERSION < v"0.7-"
-                    @test_throws ArgumentError [1, 2] .+ d
-                    @test_throws ArgumentError d .* [1, 2]
-                else
-                    err = ArgumentError("Cannot broadcast" *
-                                        " Containers.SparseAxisArray with" *
-                                        " another array of different type")
-                    @test_throws err [1, 2] .+ d
-                    @test_throws err d .* [1, 2]
-                end
+                err = ArgumentError("Cannot broadcast" *
+                                    " Containers.SparseAxisArray with" *
+                                    " another array of different type")
+                @test_throws err [1, 2] .+ d
+                @test_throws err d .* [1, 2]
             end
             @testset "Different indices" begin
-                if VERSION < v"0.7-"
-                    for d_bad in d_bads
-                        @test_throws ArgumentError d_bad .+ d
-                        @test_throws ArgumentError d .+ d_bad
-                    end
-                else
-                    err = ArgumentError("Cannot broadcast" *
-                        " Containers.SparseAxisArray with different indices")
-                    for d_bad in d_bads
-                        @test_throws err d_bad .+ d
-                        @test_throws err d .+ d_bad
-                    end
+                err = ArgumentError("Cannot broadcast" *
+                                    " Containers.SparseAxisArray with " *
+                                    "different indices")
+                for d_bad in d_bads
+                    @test_throws err d_bad .+ d
+                    @test_throws err d .+ d_bad
                 end
             end
         end

test/macros.jl

@@ -36,14 +36,12 @@ end
     @test ex.head == :typed_vcat
     @test ex.args == [:x, 12, 3]
 
-    if VERSION >= v"1.0-"
-        ex = :(x[i=1:3, j=S; isodd(i) && i + j >= 2])
-        @test ex.head == :ref
-        @test ex.args == [:x,
-                      Expr(:parameters, Expr(:&&, :(isodd(i)), :(i + j >= 2))),
-                      Expr(:kw, :i, :(1:3)),
-                      Expr(:kw, :j, :S)]
-    end
+    ex = :(x[i=1:3, j=S; isodd(i) && i + j >= 2])
+    @test ex.head == :ref
+    @test ex.args == [:x,
+                  Expr(:parameters, Expr(:&&, :(isodd(i)), :(i + j >= 2))),
+                  Expr(:kw, :i, :(1:3)),
+                  Expr(:kw, :j, :S)]
 end
 
 mutable struct MyVariable
@@ -298,15 +296,9 @@ end
     @testset "Warn on unexpected assignment" begin
         m = Model()
         @variable(m, x)
-        @static if VERSION >= v"1.0"
-            # function getindex does not accept keyword arguments
-            @test_throws ErrorException x[i=1]
-            @test_throws ErrorException @constraint(m, x[i=1] <= 1)
-        else
-            # https://github.com/JuliaLang/julia/issues/25612
-            @test_logs((:warn, r"Unexpected assignment"),
-                       macroexpand(JuMP, :(@constraint(m, x[i=1] <= 1))))
-        end
+        # function getindex does not accept keyword arguments
+        @test_throws ErrorException x[i=1]
+        @test_throws ErrorException @constraint(m, x[i=1] <= 1)
     end
 
     @testset "Lookup in model scope: @variable" begin

test/perf/speed2.jl

@@ -13,12 +13,9 @@ include("../solvers.jl")
 
 using JuMP
 using Random
-@static if VERSION >= v"0.7.0-DEV.3406"
-    srand(seed) = Random.seed!(seed)
-end
 
 function pMedian(solver, numFacility::Int,numCustomer::Int,numLocation::Int)
-    srand(10)
+    Random.seed!(10)
     customerLocations = [rand(1:numLocation) for a = 1:numCustomer ]
 
     buildTime = @elasped begin

test/perf/timetoprint.jl

@@ -56,7 +56,7 @@ test4_time = @elapsed begin
     @variable(m, x5[[:a,:b,:c],[:d,"e",4]])
     @constraint(m,
         sum(i*x1[i] for i=1:N) +
-        sum(i*f*x2[i,f] for i=1:N,f=1:N) + 
+        sum(i*f*x2[i,f] for i=1:N,f=1:N) +
         sum(i*f*x3[i,f] for i=1:N,f=1:2:N) +
         sum(x4) >= N)
     @time sprint(print, m)"""