mirror of
https://github.com/squidfunk/mkdocs-material.git
synced 2026-07-22 05:53:03 -04:00
227 lines
7.1 KiB
TypeScript
227 lines
7.1 KiB
TypeScript
/*
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* Copyright (c) 2016-2019 Martin Donath <martin.donath@squidfunk.com>
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
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* IN THE SOFTWARE.
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*/
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import * as lunr from "lunr"
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import {
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ArticleDocument,
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SearchDocumentMap,
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SectionDocument,
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setupSearchDocumentMap
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} from "../document"
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import {
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SearchHighlightFactoryFn,
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setupSearchHighlighter
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} from "../highlight"
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/* ----------------------------------------------------------------------------
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* Types
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* ------------------------------------------------------------------------- */
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/**
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* Search index configuration
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*/
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export interface SearchIndexConfig {
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lang: string[] /* Search languages */
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separator: string /* Search separator */
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}
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/**
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* Search index document
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*/
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export interface SearchIndexDocument {
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location: string /* Document location */
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title: string /* Document title */
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text: string /* Document text */
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}
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/**
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* Search index pipeline
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*/
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export interface SearchIndexPipeline {
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trimmer: boolean /* Add trimmer to pipeline */
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stopwords: boolean /* Add stopword filter to pipeline */
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}
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/* ------------------------------------------------------------------------- */
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/**
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* Search index options
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*
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* This interfaces describes the format of the `search_index.json` file which
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* is automatically built by the MkDocs search plugin.
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*/
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export interface SearchIndexOptions {
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config: SearchIndexConfig /* Search index configuration */
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docs: SearchIndexDocument[] /* Search index documents */
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pipeline?: SearchIndexPipeline /* Search index pipeline */
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index?: object | string /* Prebuilt or serialized index */
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}
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/* ------------------------------------------------------------------------- */
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/**
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* Search result
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*/
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export interface SearchResult {
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article: ArticleDocument /* Article document */
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sections: SectionDocument[] /* Section documents */
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}
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/* ----------------------------------------------------------------------------
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* Class
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* ------------------------------------------------------------------------- */
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export class SearchIndex {
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/**
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* Search document mapping
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*
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* A mapping of URLs (including hash fragments) to the actual articles and
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* sections of the documentation. The search document mapping must be created
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* regardless of whether the index was prebuilt or not, as lunr itself will
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* only store the actual index.
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*/
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protected documents: SearchDocumentMap
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/**
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* Search highlight factory function
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*/
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protected highlight: SearchHighlightFactoryFn
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/**
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* The lunr search index
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*/
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protected index: lunr.Index
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/**
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* Create a search index
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*
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* @param options - Options
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*/
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public constructor({ config, docs, pipeline, index }: SearchIndexOptions) {
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this.documents = setupSearchDocumentMap(docs)
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this.highlight = setupSearchHighlighter(config)
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/* If no index was given, create it */
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if (typeof index === "undefined") {
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this.index = lunr(function() {
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pipeline = pipeline || {
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trimmer: true,
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stopwords: true
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}
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/* Remove stemmer, as it cripples search experience */
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this.pipeline.reset()
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if (pipeline.trimmer)
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this.pipeline.add(lunr.trimmer)
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if (pipeline.stopwords)
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this.pipeline.add(lunr.stopWordFilter)
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/* Setup fields and reference */
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this.field("title", { boost: 10 })
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this.field("text")
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this.ref("location")
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/* Index documents */
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for (const doc of docs)
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this.add(doc)
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})
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/* Prebuilt or serialized index */
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} else {
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this.index = lunr.Index.load(
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typeof index === "string"
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? JSON.parse(index)
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: index
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)
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}
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}
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/**
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* Search for matching documents
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*
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* The search index which MkDocs provides is divided up into articles, which
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* contain the whole content of the individual pages, and sections, which only
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* contain the contents of the subsections obtained by breaking the individual
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* pages up at `h1` ... `h6`. As there may be many sections on different pages
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* with indentical titles (for example within this very project, e.g. "Usage"
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* or "Installation"), they need to be put into the context of the containing
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* page. For this reason, section results are grouped within their respective
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* articles which are the top-level results that are returned.
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*
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* @param query - Query string
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*
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* @return Search results
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*/
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public search(query: string): SearchResult[] {
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if (query) {
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try {
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/* Group sections by containing article */
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const groups = this.index.search(query)
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.reduce((results, result) => {
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const document = this.documents.get(result.ref)
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if (typeof document !== "undefined") {
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if ("parent" in document) {
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const ref = document.parent.location
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results.set(ref, [...results.get(ref) || [], result])
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} else {
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const ref = document.location
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results.set(ref, results.get(ref) || [])
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}
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}
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return results
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}, new Map<string, lunr.Index.Result[]>())
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/* Create highlighter for query */
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const fn = this.highlight(query)
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/* Map groups to search documents */
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return [...groups].map(([ref, sections]) => ({
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article: fn(this.documents.get(ref) as ArticleDocument),
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sections: sections.map(section => {
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return fn(this.documents.get(section.ref) as SectionDocument)
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})
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}))
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/* Log errors to console (for now) */
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} catch (err) {
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// tslint:disable-next-line no-console
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console.warn(`Invalid query: ${query} – see https://bit.ly/2s3ChXG`)
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}
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}
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/* Return nothing in case of error or empty query */
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return []
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}
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/**
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* Serialize search index
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*
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* @return String representation
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*/
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public toString(): string {
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return JSON.stringify(this.index)
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}
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}
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