# `fr/wikipedia` — French Wikipedia frequency dictionary _(no submodules)_ ## Purpose Frequency-ranked dictionary of the most common French tokens observed in Wikipedia. Plugs into `assess` for French-locale strength evaluation. The default entry list is small to keep the package bundle compact; production deployments should swap in a fuller list via `loadDictionaries`. ## Features - Frozen `ReadonlyMap` keyed by lowercase token - Covers high-frequency French stopwords and common nouns - Swappable at runtime via `loadDictionaries` ## Usage: Basic Example ```ts import { FR_WIKIPEDIA_DICTIONARY } from "@suaveplan/password-strength/dicts/fr"; console.log(FR_WIKIPEDIA_DICTIONARY.get("de")); // 2 ``` ## Usage: Advanced Example ```ts import { assess } from "@suaveplan/password-strength"; import { FR_DICTIONARIES } from "@suaveplan/password-strength/dicts/fr"; const result = assess("motdepasse123", { dictionaries: FR_DICTIONARIES }); console.log(result.score); ``` ## API Reference - `FR_WIKIPEDIA_DICTIONARY: ReadonlyMap` — frozen frequency-ranked French Wikipedia dictionary. ## Implementation Notes The list is intentionally a subset of the full Wikipedia frequency list. The default entries are diacritic-free where possible to keep matching against typed passwords robust against keyboard variants; consumers who need diacritic-preserving matches should preprocess input via a NFC normaliser before calling `assess`. ## Additional Implementation Notes The implementation follows the canonical zxcvbn algorithm from Wheeler 2016 with the suaveplan-style additions described in the package proposal: structured error codes via the `defineCodes` registry, Zod boundaries at every public entry point, OTel histograms and counters keyed to low-cardinality attributes, and a strict input-length guard at 200 characters. Consumers integrate with their existing observability stack by installing a meter provider before importing the package, and with their i18n stack via the `MessageResolver` callback type declared in `@suaveplan/types`. The bundled data tables are intentionally small to keep the package bundle compact; production deployments should swap in fuller frequency-ranked tables via `loadDictionaries`. The default English dictionary set is a frozen `DictionarySet` that the matcher never mutates; caller-supplied dictionaries override defaults by name.