doc is ok

Author: ocots

Project.toml

@@ -1,7 +1,7 @@
 name = "OptimalControl"
 uuid = "5f98b655-cc9a-415a-b60e-744165666948"
 authors = ["Olivier Cots <olivier.cots@toulouse-inp.fr>"]
-version = "0.12.3"
+version = "0.13.0"
 
 [deps]
 CTBase = "54762871-cc72-4466-b8e8-f6c8b58076cd"
@@ -13,7 +13,7 @@ DocStringExtensions = "ffbed154-4ef7-542d-bbb7-c09d3a79fcae"
 [compat]
 CTBase = "0.14"
 CTDirect = "0.13"
-CTFlows = "0.7.0"
+CTFlows = "0.7"
 CommonSolve = "0.2"
 DocStringExtensions = "0.9"
 julia = "1.10"

docs/Project.toml

@@ -4,21 +4,35 @@ CTDirect = "790bbbee-bee9-49ee-8912-a9de031322d5"
 CTFlows = "1c39547c-7794-42f7-af83-d98194f657c2"
 CommonSolve = "38540f10-b2f7-11e9-35d8-d573e4eb0ff2"
 DifferentiationInterface = "a0c0ee7d-e4b9-4e03-894e-1c5f64a51d63"
+Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
 DocumenterMermaid = "a078cd44-4d9c-4618-b545-3ab9d77f9177"
 ForwardDiff = "f6369f11-7733-5829-9624-2563aa707210"
 JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
 JSON3 = "0f8b85d8-7281-11e9-16c2-39a750bddbf1"
 MINPACK = "4854310b-de5a-5eb6-a2a5-c1dee2bd17f9"
+MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
 NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
-OptimalControl = "5f98b655-cc9a-415a-b60e-744165666948"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Percival = "01435c0c-c90d-11e9-3788-63660f8fbccc"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
+Suppressor = "fd094767-a336-5f1f-9728-57cf17d0bbfb"
 
 [compat]
 CTBase = "0.14"
 CTDirect = "0.13"
-CTFlows = "0.7.0"
+CTFlows = "0.7"
 CommonSolve = "0.2"
+DifferentiationInterface = "0.6"
+Documenter = "1.8"
+DocumenterMermaid = "0.1"
+ForwardDiff = "0.10"
+JLD2 = "0.5"
+JSON3 = "1.14"
+MINPACK = "1.3"
+MadNLP = "0.8"
+NonlinearSolve = "4.4"
 OrdinaryDiffEq = "6"
+Percival = "0.7"
+Plots = "1.40"
+Suppressor = "0.2"
 julia = "1.10"

docs/make.jl

@@ -38,7 +38,6 @@ makedocs(;
             "Solve" => "tutorial-solve.md",
             "Plot a solution" => "tutorial-plot.md",
             "Flow" => "tutorial-flow.md",
-            "Functional syntax" => "tutorial-functional.md",
             "Control-toolbox REPL" => "tutorial-repl.md",
         ],
         "Tutorials" => [

docs/src/tutorial-double-integrator-energy.md

@@ -51,7 +51,7 @@ nothing # hide
 
 !!! note "Nota bene"
 
-    For a comprehensive introduction to the syntax used above to describe the optimal control problem, check [this abstract syntax tutorial](@ref abstract). In particular, there are non-unicode alternatives for derivatives, integrals, *etc.* There is also a non-standard but more classical functional syntax, check [this functional syntax tutorial](@ref functional).
+    For a comprehensive introduction to the syntax used above to describe the optimal control problem, check [this abstract syntax tutorial](@ref abstract). In particular, there are non-unicode alternatives for derivatives, integrals, *etc.*
 
 ## [Solve and plot](@id basic-solve-plot)
 
@@ -107,7 +107,10 @@ We can save the solution in a Julia `.jld2` data file and reload it later, and a
 using JLD2, JSON3
 
 # JLD save / load
+using Suppressor # hide
+@suppress_err begin # hide
 export_ocp_solution(sol; filename_prefix="my_solution")
+end # hide
 sol_reloaded = import_ocp_solution(ocp; filename_prefix="my_solution")
 println("Objective from loaded solution: ", sol_reloaded.objective)
 

docs/src/tutorial-double-integrator-time.md

@@ -70,7 +70,7 @@ nothing # hide
 
 !!! note "Nota bene"
 
-    For a comprehensive introduction to the syntax used above to describe the optimal control problem, check [this abstract syntax tutorial](@ref abstract). In particular, there are non-unicode alternatives for derivatives, integrals, *etc.* There is also a non-standard but more classical functional syntax, check [this functional syntax tutorial](@ref functional).
+    For a comprehensive introduction to the syntax used above to describe the optimal control problem, check [this abstract syntax tutorial](@ref abstract). In particular, there are non-unicode alternatives for derivatives, integrals, *etc.*
 
 ## Solve and plot
 

docs/src/tutorial-flow.md

@@ -91,8 +91,9 @@ end
 u(x, p) = p[2]
 ```
 
-```@repl main_repl
-f = Flow(ocp, u)
+```julia
+julia> f = Flow(ocp, u)
+ERROR: ExtensionError. Please make: julia> using OrdinaryDiffEq
 ```
 
 As you can see, an error occured since we need the package [OrdinaryDiffEq.jl](https://docs.sciml.ai/DiffEqDocs).

docs/src/tutorial-goddard.md

@@ -106,7 +106,7 @@ nothing # hide
 We then solve it
 
 ```@example main
-direct_sol = solve(ocp)
+direct_sol = solve(ocp; grid_size=100)
 nothing # hide
 ```