Teste une extension différente

Author: linogaliana

_extensions/linogaliana/lang-switch/lang-notebook.lua

@@ -0,0 +1,50 @@
+local filename = quarto.doc and quarto.doc.input_file or ""
+local dirname = quarto.project and quarto.project.directory or ""
+
+-- Escape special characters
+local function escape_pattern(str)
+  return str and str:gsub("([^%w])", "%%%1") or ""
+end
+
+dirname = escape_pattern(dirname)
+
+local filename_relative = filename:gsub("^" .. dirname, "")
+filename_relative = "https://pythonds.linogaliana.fr" .. filename_relative
+filename_relative = filename_relative:gsub("%.qmd$", ".html")
+
+-- Vérifie la langue
+local function ends_with(str, suffix)
+  return str:sub(-#suffix) == suffix
+end
+
+-- Création du bloc .callout-note avec contenu HTML
+local function get_callout_div()
+  local html_text
+
+  if ends_with(filename_relative, "_en.html") then
+    html_text = "This is the English 🇬🇧 🇺🇸 version of that chapter, to see the French version go " ..
+                "<a href=\"" .. filename_relative:gsub("_en.html", ".html") .. "\">there</a>."
+  else
+    html_text = "Ceci est la version française 🇫🇷 de ce chapitre, pour voir la version anglaise allez " ..
+                "<a href=\"" .. filename_relative:gsub(".html", "_en.html") .. "\">ici</a>."
+  end
+
+  return pandoc.Div(
+    { pandoc.Para{ pandoc.RawInline("html", html_text) } },
+    pandoc.Attr("", { "callout-note" })
+  )
+end
+
+-- Hook principal : remplace {{warninglang}} par un .callout-note
+return {
+  {
+    Para = function (elem)
+      for i, v in ipairs(elem.content) do
+        if v.t == "Str" and v.text == "{{warninglang}}" then
+          return get_callout_div()
+        end
+      end
+      return elem
+    end
+  }
+}

_quarto-prod.yml

@@ -106,13 +106,15 @@ format:
 # PAGE OPTIONS ---------------------
 
 filters:
+  - at: pre-ast
+    path: _extensions/linogaliana/lang-switch/lang-notebook.lua
+  - at: pre-ast
+    path: _extensions/linogaliana/callout/callout-notebook.lua
   - build/replace-title.lua
   - build/lang-notebook.lua
   - build/callout/callout-jupyter.lua
   - include-code-files
   - _extensions/linogaliana/lang-switch/button.lua
-  - at: pre-ast
-    path: _extensions/linogaliana/callout/callout-notebook.lua
 
 crossref:
   chapters: true

_quarto.yml

@@ -69,13 +69,14 @@ format:
 # PAGE OPTIONS ---------------------
 
 filters:
+  - at: pre-ast
+    path: _extensions/linogaliana/lang-switch/lang-notebook.lua
+  - at: pre-ast
+    path: _extensions/linogaliana/callout/callout-notebook.lua
   - include-code-files
   - build/replace-title.lua
-  - build/lang-notebook.lua
   - _extensions/linogaliana/details-iframe/details.lua
   - _extensions/linogaliana/lang-switch/button.lua
-  - at: pre-ast
-    path: _extensions/linogaliana/callout/callout-notebook.lua
 
 crossref:
   chapters: true

build/lang-notebook.lua

@@ -448,17 +448,19 @@ x[:,1]
 Le principe se généralise, mais se complexifie, pour des _array_ imbriqués. Heureusement, ce sont des objets qu'on manipule assez rarement directement, la plupart de nos données numériques étant des tableaux plats (une valeur - l'observation - est le croisement d'une ligne - l'individu - et d'une colonne - la variable). 
 
 :::
+
 ::: {.content-visible when-profile="en"}
 The same logic applies to multidimensional _arrays_. Indexing then takes place at several levels.  Take, for example, a 2-dimensional array (a matrix of sorts):
 
-``{python}
+```{python}
 x = np.array([[1, 2, 3], [4, 5, 6]], np.int32)
-````
+```
 
 If we want to select the 2nd row, 3rd column (the element with value 6), we do
 
+```{python}
 x[1, 2]
-````{python}
+```
 
 Now, to select a complete column (e.g. the 2nd), we can use the 2nd index to specify it (index 1 in Python since indexing starts from 0) and then `:` on the first dimension (shortened version of `0:N`) to avoid discriminating according to this dimension: 
 
@@ -467,6 +469,8 @@ x[:,1]
 ```
 
 The principle is generalized, but becomes more complex, for nested _arrays_. Fortunately, these are objects we rarely manipulate directly, as most of our numerical data are flat arrays (a value - the observation - is the intersection of a row - the individual - and a column - the variable). 
+
+
 :::