Persian figure labels in numba.md are unshaped and reversed — matplotlib does no Arabic shaping or bidi

numba.md sets Persian text on matplotlib figures — ax.set_xlabel('تعداد نمونه‌ها') at line 820 and ax.set_ylabel(r'تخمین $\pi$') at 822, introduced by sync commit 7cd985b — and this repo carries no matplotlib font configuration and no font assets at all.

This is not the same problem as the Chinese editions, and it must not get the same fix. The glyphs do render: DejaVu Sans, matplotlib's default, covers all 29 codepoints involved. What fails is shaping. matplotlib performs no Arabic contextual shaping and no bidirectional reordering, so the label comes out as isolated letterforms in left-to-right order — legible as individual characters, wrong as Persian text. Swapping in a Persian font would not help, because the defect is in the text-layout stage rather than in glyph coverage.

Fix

The conventional approach is to reshape and reorder the string before it reaches matplotlib:

• arabic-reshaper to apply contextual forms
• python-bidi to apply the Unicode bidirectional algorithm

Both would need adding to environment.yml. Worth deciding whether to apply this per-label, via a small helper, or to avoid Persian in figure text altogether for now — the third option is legitimate and is what the rest of this edition currently does by default.

How it was found

A survey of CJK font handling across the translation program (project-translation reports/2026-07-24-cjk-font-rendering-review.md) checked the non-Latin editions for the same class of defect. This is the only instance in .fa; the .fr edition needs nothing, since DejaVu covers Latin with accents and French needs no shaping.

Filed for a decision rather than as an urgent break — one lecture, and the text is present rather than absent.

Commencez par les lignes 820-822 de numba.md et environment.yml, puis examinez comment les autres éditions traduites gèrent les libellés de figures non latins. Comparez les dépendances de shaping proposées avec les options par libellé, via un helper et d’évitement du texte ; le travail est considéré comme terminé lorsque le projet dispose d’une décision testée et documentée et que les libellés en persan s’affichent correctement si le shaping est adopté.