Fix doc

Author: blegat

docs/src/constraints.md

@@ -32,13 +32,7 @@ julia> X = monomials(x, 0:2)
 
 julia> using SumOfSquares
 
-julia> model = Model()
-A JuMP Model
-Feasibility problem with:
-Variables: 0
-Model mode: AUTOMATIC
-CachingOptimizer state: NO_OPTIMIZER
-Solver name: No optimizer attached.
+julia> model = Model();
 
 julia> @variable(model, p, Poly(X))
 (_[1])·1 + (_[2])·x₃ + (_[3])·x₂ + (_[4])·x₁ + (_[5])·x₃² + (_[6])·x₂x₃ + (_[7])·x₂² + (_[8])·x₁x₃ + (_[9])·x₁x₂ + (_[10])·x₁²
@@ -132,13 +126,7 @@ julia> @polyvar x y
 
 julia> using SumOfSquares
 
-julia> model = SOSModel()
-A JuMP Model
-Feasibility problem with:
-Variables: 0
-Model mode: AUTOMATIC
-CachingOptimizer state: NO_OPTIMIZER
-Solver name: No optimizer attached.
+julia> model = SOSModel();
 
 julia> @variable(model, α)
 α

docs/src/variables.md

@@ -33,13 +33,7 @@ We can now create our polynomial variable `p` as follows:
 ```jldoctest variables
 julia> using SumOfSquares
 
-julia> model = Model()
-A JuMP Model
-Feasibility problem with:
-Variables: 0
-Model mode: AUTOMATIC
-CachingOptimizer state: NO_OPTIMIZER
-Solver name: No optimizer attached.
+julia> model = Model();
 
 julia> @variable(model, p, Poly(X))
 (_[1])·1 + (_[2])·y + (_[3])·x + (_[4])·y² + (_[5])·xy + (_[6])·x²