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