Unlink the PDE tutorial (#142)

* Unlink the PDE tutorial

* add ipopt

docs/Project.toml

@@ -1,26 +1,21 @@
 [deps]
 ADNLPModels = "54578032-b7ea-4c30-94aa-7cbd1cce6c9a"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
-Gridap = "56d4f2e9-7ea1-5844-9cf6-b9c51ca7ce8e"
 JSOSolvers = "10dff2fc-5484-5881-a0e0-c90441020f8a"
 Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
 Logging = "56ddb016-857b-54e1-b83d-db4d58db5568"
 NLPModels = "a4795742-8479-5a88-8948-cc11e1c8c1a6"
 NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
-NLPModelsModifiers = "e01155f1-5c6f-4375-a9d8-616dd036575f"
 OptimizationProblems = "5049e819-d29b-5fba-b941-0eee7e64c1c6"
-PDENLPModels = "80da258d-c172-4540-9646-64f172512520"
 SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 Stopping = "c4fe5a9e-e7fb-5c3d-89d5-7f405ab2214f"
 
 [compat]
 ADNLPModels = "0.7"
 Documenter = "0.27"
-Gridap = "0.15.5"
 JSOSolvers = "0.12"
 NLPModels = "0.21"
 NLPModelsIpopt = "0.10"
 OptimizationProblems = "0.7"
-PDENLPModels = "0.3"
 SolverCore = "0.3"
 Stopping = "0.6"

docs/make.jl

@@ -3,38 +3,11 @@ using ADNLPModels
 using Documenter
 using Printf
 using FletcherPenaltySolver
-using Literate
-
-EXAMPLE = joinpath(@__DIR__, "assets", "example.jl")
-OUTPUT = joinpath(@__DIR__, "src")
-
-# Generate markdown
-binder_badge = "# [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/JuliaSmoothOptimizers/FletcherPenaltySolver.jl/gh-pages?labpath=dev%2Fexample.ipynb)"
-function preprocess_docs(content)
-  return string(binder_badge, "\n\n", content)
-end
-
-Literate.markdown(
-  EXAMPLE,
-  OUTPUT;
-  preprocess = preprocess_docs,
-  codefence = "```julia" => "```",
-  execute = true,
-)
-
-link_to_env = "# The environment used in this tutorial is the following [Project.toml](https://github.com/JuliaSmoothOptimizers/FletcherPenaltySolver.jl/blob/gh-pages/Project.toml) and [Manifest.toml](https://github.com/JuliaSmoothOptimizers/FletcherPenaltySolver.jl/blob/gh-pages/Manifest.toml). "
-function preprocess_notebook(content)
-  return string(link_to_env, "\n\n", content)
-end
-Literate.notebook(EXAMPLE, OUTPUT; preprocess = preprocess_notebook)
-Literate.script(EXAMPLE, OUTPUT)
 
 pages = [
   "Introduction" => "index.md",
   "Tutorial" => "tutorial.md",
-  # "Benchmark" => "benchmark.md",
   "Fine-tune FPS" => "fine-tuneFPS.md",
-  "Large-scale example" => "example.md",
   "Reference" => "reference.md",
 ]