fix blue format

Author: andre_ramos

src/models/structural_model.jl

@@ -1500,7 +1500,6 @@ function simulate_states(
         if model.cycle_period != 0
             cycles_t = zeros(AbstractFloat, length(model.cycle_period))
             for i in eachindex(model.cycle_period)
-                
                 λ = 2 * pi * (1:(T + steps_ahead)) / model.cycle_period[i]
 
                 if model.stochastic_cycle
@@ -1521,11 +1520,10 @@ function simulate_states(
                             j in eachindex(stochastic_cycles_cos_set[i][1:(t - T)])
                         )
                 else
-                    cycle_t =
-                        dot(
-                            model.output.components["c1_$(model.cycle_period[i])"]["Coefs"],
-                            [cos(λ[t]), sin(λ[t])],
-                        )
+                    cycle_t = dot(
+                        model.output.components["c1_$(model.cycle_period[i])"]["Coefs"],
+                        [cos(λ[t]), sin(λ[t])],
+                    )
                 end
                 cycles_t[i] = cycle_t
             end

test/models/structural_model.jl

@@ -811,12 +811,16 @@ end
         ),
     ) == 10
 
-    model7 = StateSpaceLearning.StructuralModel(y3; seasonal="none", cycle="deterministic", cycle_period=[12, 6, 4, 3, 12/5, 2])
+    model7 = StateSpaceLearning.StructuralModel(
+        y3; seasonal="none", cycle="deterministic", cycle_period=[12, 6, 4, 3, 12 / 5, 2]
+    )
     StateSpaceLearning.fit!(model7)
     forecast7 = trunc.(StateSpaceLearning.forecast(model7, 18); digits=3)
     @test length(forecast7) == 18
 
-    model8 = StateSpaceLearning.StructuralModel(y3; seasonal="none", cycle="stochastic", cycle_period=[12, 6, 4, 3, 12/5, 2])
+    model8 = StateSpaceLearning.StructuralModel(
+        y3; seasonal="none", cycle="stochastic", cycle_period=[12, 6, 4, 3, 12 / 5, 2]
+    )
     StateSpaceLearning.fit!(model8)
     forecast8 = trunc.(StateSpaceLearning.forecast(model8, 18); digits=3)
     @test length(forecast8) == 18