rm outputs

Author: baggepinnen

docs/src/tutorials/spring_mass.md

@@ -132,7 +132,7 @@ eqs = [
 
 Finally, we can build the model using these equations and components.
 
-```julia
+```@example component
 @named _model = ODESystem(eqs, t, [spring.x; spring.dir; mass.pos], [])
 @named model = compose(_model, mass, spring)
 ```
@@ -162,25 +162,14 @@ This system can be solved directly as a DAE using [one of the DAE solvers from D
 ```@example component
 sys = structural_simplify(model)
 equations(sys)
-
-4-element Vector{Equation}:
- Differential(t)(mass₊v[1](t)) ~ (-spring₊k*(spring₊x(t) - spring₊l)*mass₊pos[1](t)) / (mass₊m*spring₊x(t))
- Differential(t)(mass₊v[2](t)) ~ (-spring₊k*(spring₊x(t) - spring₊l)*mass₊pos[2](t)) / (mass₊m*spring₊x(t)) - 9.81
- Differential(t)(mass₊pos[1](t)) ~ mass₊v[1](t)
- Differential(t)(mass₊pos[2](t)) ~ mass₊v[2](t)
 ```
 
 We are left with only 4 equations involving 4 state variables (`mass.pos[1]`,
 `mass.pos[2]`, `mass.v[1]`, `mass.v[2]`). We can solve the system by converting
 it to an `ODEProblem`. Some observed variables are not expanded by default. To
 view the complete equations, one can do
-```julia
-julia> full_equations(sys)
-4-element Vector{Equation}:
- Differential(t)(mass₊v[1](t)) ~ (-spring₊k*(sqrt(abs2(mass₊pos[1](t)) + abs2(mass₊pos[2](t))) - spring₊l)*mass₊pos[1](t)) / (mass₊m*sqrt(abs2(mass₊pos[1](t)) + abs2(mass₊pos[2](t))))
- Differential(t)(mass₊v[2](t)) ~ (-spring₊k*(sqrt(abs2(mass₊pos[1](t)) + abs2(mass₊pos[2](t))) - spring₊l)*mass₊pos[2](t)) / (mass₊m*sqrt(abs2(mass₊pos[1](t)) + abs2(mass₊pos[2](t)))) - 9.81
- Differential(t)(mass₊pos[1](t)) ~ mass₊v[1](t)
- Differential(t)(mass₊pos[2](t)) ~ mass₊v[2](t)
+```@example component
+full_equations(sys)
 ```
 
 This is done as follows: