Build strict: enable -W in ci.yml and publish.yml (#14)

* Build strict: enable -W in ci.yml and publish.yml

Both builds carried `# TODO: Re-enable -W flag once all lectures are
translated and warnings are resolved`. The precondition is already met:
this edition has 26 of 26 lectures with a `_toc.yml` identical to
source, so there are no untranslated lectures left to produce dangling
cross-references.

The case for strict is stronger than build hygiene. A translated
edition carries the same code as its English source, so a warning here
that does not appear upstream is evidence of a translation defect, not
noise — which makes -W a translation-quality signal.

It is also the last line of defence against a class of silent engine
corruption. QuantEcon/action-translation#118 (a resync wrapped an
entire 1,465-line document in a code fence and mis-derived its title
from a Python tuple-unpacking line) and #119 (a `{raw} jupyter`
directive argument stripped to `{raw}`) both reported success at run
time, looked plausible in review, and surfaced weeks later only
because a downstream repo built with -n -W. Without the flag this
edition would merge that class of damage green.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* Add the missing _admonition/gpu.md shared include

Three lectures — autodiff, jax_intro and numpy_vs_numba_vs_jax — carry
`{include} _admonition/gpu.md`, but the file was never seeded into this
edition. Every other edition has it; this one did not:

    lecture-python-programming        lectures/_admonition/gpu.md
    lecture-python-programming.fa     lectures/_admonition/gpu.md
    lecture-python-programming.zh-cn  lectures/_admonition/gpu.md
    lecture-python-programming.fr     (absent)

So those three lectures have been building with a broken include and
publishing without the GPU admonition. The build reported success
throughout, because this repo built without -W.

Found by enabling -W in the same PR, which is the argument for the flag
in one example: three CRITICAL "file not found" directive errors that
had been live and invisible. This is the shared-asset class described in
QuantEcon/action-translation#117 — sync moves lecture files, so an asset
that lives outside that set is never carried across.

Translated per the French glossary (Lecture -> Cours) and typeset with
U+00A0 before the colon and inside the guillemets, matching the
convention applyTypography() enforces for prose directives — admonition
is on its PROSE_DIRECTIVES list, so the file is in scope for it.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Author: mmcky

.github/workflows/ci.yml

@@ -42,8 +42,7 @@ jobs:
       - name: Build HTML
         shell: bash -l {0}
         run: |
-          jb build lectures --path-output ./ -n --keep-going
-          # TODO: Re-enable -W flag once all lectures are translated and warnings are resolved
+          jb build lectures --path-output ./ -n -W --keep-going
       - name: Upload Execution Reports
         uses: actions/upload-artifact@v7
         if: failure()

.github/workflows/publish.yml

@@ -56,8 +56,7 @@ jobs:
       - name: Build HTML
         shell: bash -l {0}
         run: |
-          jb build lectures --path-output ./ -n --keep-going
-          # TODO: Re-enable -W flag once all lectures are translated and warnings are resolved
+          jb build lectures --path-output ./ -n -W --keep-going
       # Serves at the default Pages URL (no cname):
       # https://quantecon.github.io/lecture-python-programming.fr/
       - name: Deploy to GitHub Pages

lectures/_admonition/gpu.md

@@ -0,0 +1,12 @@
+```{admonition} GPU
+:class: warning
+
+Ce cours a été construit sur une machine disposant d'un GPU — bien qu'il fonctionne également sans.
+
+[Google Colab](https://colab.research.google.com/) propose une offre gratuite avec des GPU
+auxquels vous pouvez accéder comme suit :
+
+1. Cliquez sur l'icône « play » en haut à droite
+2. Sélectionnez Colab
+3. Réglez l'environnement d'exécution pour inclure un GPU
+```