test: fix formatting

Author: Alexey Stukalov

test/examples/multigroup/build_models.jl

@@ -19,17 +19,11 @@ model_ml_multigroup = Sem(
 end
 
 # replace observed using Dict of data matrices
-model_ml_multigroup3 = replace_observed(
-    model_ml_multigroup,
-    Dict(:Pasteur => dat_g1, :Grant_White => dat_g2),
-)
+model_ml_multigroup3 =
+    replace_observed(model_ml_multigroup, Dict(:Pasteur => dat_g1, :Grant_White => dat_g2))
 
 # replace observed using DataFrame with group column
-model_ml_multigroup4 = replace_observed(
-    model_ml_multigroup,
-    dat;
-    semterm_column = :school,
-)
+model_ml_multigroup4 = replace_observed(model_ml_multigroup, dat; semterm_column = :school)
 
 # gradients
 @testset "ml_gradients_multigroup" begin

test/examples/political_democracy/constructor.jl

@@ -167,14 +167,8 @@ end
     # set seed for simulation
     Random.seed!(83472834)
     # simulate data
-    model_ml_new = replace_observed(
-        model_ml,
-        rand(model_ml, params, 1_000_000),
-    )
-    model_ml_sym_new = replace_observed(
-        model_ml_sym,
-        rand(model_ml_sym, params, 1_000_000),
-    )
+    model_ml_new = replace_observed(model_ml, rand(model_ml, params, 1_000_000))
+    model_ml_sym_new = replace_observed(model_ml_sym, rand(model_ml_sym, params, 1_000_000))
     # fit models
     sol_ml = solution(fit(semoptimizer, model_ml_new))
     sol_ml_sym = solution(fit(semoptimizer, model_ml_sym_new))
@@ -376,14 +370,8 @@ end
     # set seed for simulation
     Random.seed!(83472834)
     # simulate data
-    model_ml_new = replace_observed(
-        model_ml,
-        rand(model_ml, params, 1_000_000),
-    )
-    model_ml_sym_new = replace_observed(
-        model_ml_sym,
-        rand(model_ml_sym, params, 1_000_000),
-    )
+    model_ml_new = replace_observed(model_ml, rand(model_ml, params, 1_000_000))
+    model_ml_sym_new = replace_observed(model_ml_sym, rand(model_ml_sym, params, 1_000_000))
     # fit models
     sol_ml = solution(fit(semoptimizer, model_ml_new))
     sol_ml_sym = solution(fit(semoptimizer, model_ml_sym_new))