@@ -141,17 +141,16 @@ end
141141        return  y ~  MvNormal (mu, error^ 2  *  I)
142142    end 
143143
144-     #  Some data
145144    x =  randn (2 , 100 )
146145    y =  [1  +  2  *  a +  3  *  b for  (a, b) in  eachcol (x)]
147146
148147    param_names =  Dict (
149-         simple_linear1 =>  [:intercept , : coef ],
150-         simple_linear2 =>  [:intercept , : coef ],
151-         simple_linear3 =>  [:intercept , Symbol .([ " coef[$i ] "   for  i  in   1 : 2 ]) ... ],
152-         simple_linear4 =>  [:intercept , :coef1 , :coef2 ],
148+         simple_linear1 =>  [:intercept , Symbol ( " coef[1] " ),  Symbol ( " coef[2] " ),  :error ],
149+         simple_linear2 =>  [:intercept , Symbol ( " coef[1] " ),  Symbol ( " coef[2] " ),  :error ],
150+         simple_linear3 =>  [:intercept , Symbol ( " coef[1] " ),  Symbol ( " coef[2] " ),  :error ],
151+         simple_linear4 =>  [:intercept , :coef1 , :coef2 ,  :error ],
153152    )
154-     for  model in  [simple_linear1, simple_linear2, simple_linear3, simple_linear4]
153+     @testset   " $model "   for  model in  [simple_linear1, simple_linear2, simple_linear3, simple_linear4]
155154        m =  model (x, y)
156155        chain =  sample (
157156            DynamicPPL. LogDensityFunction (m, DynamicPPL. VarInfo (m)),
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