new formatting

test/import/egret_test.jl

@@ -7,8 +7,9 @@ using UnitCommitment
 basedir = @__DIR__
 
 @testset "read_egret_solution" begin
-    solution =
-        UnitCommitment.read_egret_solution("$basedir/../fixtures/egret_output.json.gz")
+    solution = UnitCommitment.read_egret_solution(
+        "$basedir/../fixtures/egret_output.json.gz",
+    )
     for attr in ["Is on", "Production (MW)", "Production cost (\$)"]
         @test attr in keys(solution)
         @test "115_STEAM_1" in keys(solution[attr])

test/instance/read_test.jl

@@ -19,9 +19,9 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
     @test instance.lines[5].target.name == "b5"
     @test instance.lines[5].reactance ≈ 0.17388
     @test instance.lines[5].susceptance ≈ 10.037550333
-    @test instance.lines[5].normal_flow_limit == [1e8 for t = 1:4]
-    @test instance.lines[5].emergency_flow_limit == [1e8 for t = 1:4]
-    @test instance.lines[5].flow_limit_penalty == [5e3 for t = 1:4]
+    @test instance.lines[5].normal_flow_limit == [1e8 for t in 1:4]
+    @test instance.lines[5].emergency_flow_limit == [1e8 for t in 1:4]
+    @test instance.lines[5].flow_limit_penalty == [5e3 for t in 1:4]
     @test instance.lines_by_name["l5"].name == "l5"
 
     @test instance.lines[1].name == "l1"
@@ -29,9 +29,9 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
     @test instance.lines[1].target.name == "b2"
     @test instance.lines[1].reactance ≈ 0.059170
     @test instance.lines[1].susceptance ≈ 29.496860773945
-    @test instance.lines[1].normal_flow_limit == [300.0 for t = 1:4]
-    @test instance.lines[1].emergency_flow_limit == [400.0 for t = 1:4]
-    @test instance.lines[1].flow_limit_penalty == [1e3 for t = 1:4]
+    @test instance.lines[1].normal_flow_limit == [300.0 for t in 1:4]
+    @test instance.lines[1].emergency_flow_limit == [400.0 for t in 1:4]
+    @test instance.lines[1].flow_limit_penalty == [1e3 for t in 1:4]
 
     @test instance.buses[9].name == "b9"
     @test instance.buses[9].load == [35.36638, 33.25495, 31.67138, 31.14353]
@@ -44,12 +44,12 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
     @test unit.ramp_down_limit == 1e6
     @test unit.startup_limit == 1e6
     @test unit.shutdown_limit == 1e6
-    @test unit.must_run == [false for t = 1:4]
-    @test unit.min_power_cost == [1400.0 for t = 1:4]
+    @test unit.must_run == [false for t in 1:4]
+    @test unit.min_power_cost == [1400.0 for t in 1:4]
     @test unit.min_uptime == 1
     @test unit.min_downtime == 1
-    @test unit.provides_spinning_reserves == [true for t = 1:4]
-    for t = 1:1
+    @test unit.provides_spinning_reserves == [true for t in 1:4]
+    for t in 1:1
         @test unit.cost_segments[1].mw[t] == 10.0
         @test unit.cost_segments[2].mw[t] == 20.0
         @test unit.cost_segments[3].mw[t] == 5.0
@@ -68,7 +68,7 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
 
     unit = instance.units[2]
     @test unit.name == "g2"
-    @test unit.must_run == [false for t = 1:4]
+    @test unit.must_run == [false for t in 1:4]
 
     unit = instance.units[3]
     @test unit.name == "g3"
@@ -77,12 +77,12 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
     @test unit.ramp_down_limit == 70.0
     @test unit.startup_limit == 70.0
     @test unit.shutdown_limit == 70.0
-    @test unit.must_run == [true for t = 1:4]
-    @test unit.min_power_cost == [0.0 for t = 1:4]
+    @test unit.must_run == [true for t in 1:4]
+    @test unit.min_power_cost == [0.0 for t in 1:4]
     @test unit.min_uptime == 1
     @test unit.min_downtime == 1
-    @test unit.provides_spinning_reserves == [true for t = 1:4]
-    for t = 1:4
+    @test unit.provides_spinning_reserves == [true for t in 1:4]
+    for t in 1:4
         @test unit.cost_segments[1].mw[t] ≈ 33
         @test unit.cost_segments[2].mw[t] ≈ 33
         @test unit.cost_segments[3].mw[t] ≈ 34
@@ -101,8 +101,8 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON, GZip
     load = instance.price_sensitive_loads[1]
     @test load.name == "ps1"
     @test load.bus.name == "b3"
-    @test load.revenue == [100.0 for t = 1:4]
-    @test load.demand == [50.0 for t = 1:4]
+    @test load.revenue == [100.0 for t in 1:4]
+    @test load.demand == [50.0 for t in 1:4]
     @test instance.price_sensitive_loads_by_name["ps1"].name == "ps1"
 end
 

test/solution/methods/XavQiuWanThi19/find_test.jl

@@ -7,7 +7,7 @@ import UnitCommitment: _Violation, _offer, _query
 
 @testset "find_violations" begin
     instance = UnitCommitment.read_benchmark("test/case14")
-    for line in instance.lines, t = 1:instance.time
+    for line in instance.lines, t in 1:instance.time
         line.normal_flow_limit[t] = 1.0
         line.emergency_flow_limit[t] = 1.0
     end
@@ -20,8 +20,8 @@ import UnitCommitment: _Violation, _offer, _query
         buses = instance.buses,
         isf = isf,
     )
-    inj = [1000.0 for b = 1:13, t = 1:instance.time]
-    overflow = [0.0 for l in instance.lines, t = 1:instance.time]
+    inj = [1000.0 for b in 1:13, t in 1:instance.time]
+    overflow = [0.0 for l in instance.lines, t in 1:instance.time]
     violations = UnitCommitment._find_violations(
         instance = instance,
         net_injections = inj,

test/transform/initcond_test.jl

@@ -8,7 +8,8 @@ basedir = @__DIR__
 
 @testset "generate_initial_conditions!" begin
     # Load instance
-    instance = UnitCommitment.read("$basedir/../fixtures/case118-initcond.json.gz")
+    instance =
+        UnitCommitment.read("$basedir/../fixtures/case118-initcond.json.gz")
     optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0)
 
     # All units should have unknown initial conditions

test/transform/randomize/XavQiuAhm2021_test.jl

@@ -28,7 +28,10 @@ test_approx(x, y) = @test isapprox(x, y, atol = 1e-3)
         test_approx(bus.load[1] / prev_system_load[1], 0.012)
 
         Random.seed!(42)
-        randomize!(instance, XavQiuAhm2021.Randomization(randomize_load_profile = false))
+        randomize!(
+            instance,
+            XavQiuAhm2021.Randomization(randomize_load_profile = false),
+        )
 
         # Check randomized costs
         test_approx(unit.min_power_cost[1], 831.977)

test/usage.jl

@@ -6,7 +6,7 @@ using UnitCommitment, LinearAlgebra, Cbc, JuMP, JSON
 
 @testset "build_model" begin
     instance = UnitCommitment.read_benchmark("test/case14")
-    for line in instance.lines, t = 1:4
+    for line in instance.lines, t in 1:4
         line.normal_flow_limit[t] = 10.0
     end
     optimizer = optimizer_with_attributes(Cbc.Optimizer, "logLevel" => 0)