add german gallery
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// Based on https://github.com/getzola/zola/blob/1ac1231de1e342bbaf4d7a51a8a9a40ea152e246/docs/static/search.js
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function debounce(func, wait) {
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	var timeout;
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	return function () {
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		var context = this;
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		var args = arguments;
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		clearTimeout(timeout);
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		timeout = setTimeout(function () {
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			timeout = null;
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			func.apply(context, args);
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		}, wait);
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	};
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}
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// Taken from mdbook
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// The strategy is as follows:
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// First, assign a value to each word in the document:
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//  Words that correspond to search terms (stemmer aware): 40
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//  Normal words: 2
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//  First word in a sentence: 8
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// Then use a sliding window with a constant number of words and count the
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// sum of the values of the words within the window. Then use the window that got the
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// maximum sum. If there are multiple maximas, then get the last one.
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// Enclose the terms in <b>.
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function makeTeaser(body, terms) {
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	var TERM_WEIGHT = 40;
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	var NORMAL_WORD_WEIGHT = 2;
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	var FIRST_WORD_WEIGHT = 8;
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	var TEASER_MAX_WORDS = 30;
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	var stemmedTerms = terms.map(function (w) {
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		return elasticlunr.stemmer(w.toLowerCase());
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	});
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	var termFound = false;
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	var index = 0;
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	var weighted = []; // contains elements of ["word", weight, index_in_document]
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	// split in sentences, then words
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	var sentences = body.toLowerCase().split(". ");
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	for (var i in sentences) {
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		var words = sentences[i].split(" ");
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		var value = FIRST_WORD_WEIGHT;
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		for (var j in words) {
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			var word = words[j];
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			if (word.length > 0) {
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				for (var k in stemmedTerms) {
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					if (elasticlunr.stemmer(word).startsWith(stemmedTerms[k])) {
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						value = TERM_WEIGHT;
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						termFound = true;
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					}
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				}
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				weighted.push([word, value, index]);
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				value = NORMAL_WORD_WEIGHT;
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			}
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			index += word.length;
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			index += 1;  // ' ' or '.' if last word in sentence
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		}
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		index += 1;  // because we split at a two-char boundary '. '
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	}
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	if (weighted.length === 0) {
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		return body;
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	}
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	var windowWeights = [];
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	var windowSize = Math.min(weighted.length, TEASER_MAX_WORDS);
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	// We add a window with all the weights first
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	var curSum = 0;
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	for (var i = 0; i < windowSize; i++) {
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		curSum += weighted[i][1];
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	}
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	windowWeights.push(curSum);
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	for (var i = 0; i < weighted.length - windowSize; i++) {
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		curSum -= weighted[i][1];
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		curSum += weighted[i + windowSize][1];
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		windowWeights.push(curSum);
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	}
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	// If we didn't find the term, just pick the first window
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	var maxSumIndex = 0;
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	if (termFound) {
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		var maxFound = 0;
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		// backwards
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		for (var i = windowWeights.length - 1; i >= 0; i--) {
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			if (windowWeights[i] > maxFound) {
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				maxFound = windowWeights[i];
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				maxSumIndex = i;
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			}
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		}
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	}
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	var teaser = [];
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	var startIndex = weighted[maxSumIndex][2];
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	for (var i = maxSumIndex; i < maxSumIndex + windowSize; i++) {
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		var word = weighted[i];
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		if (startIndex < word[2]) {
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			// missing text from index to start of `word`
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			teaser.push(body.substring(startIndex, word[2]));
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			startIndex = word[2];
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		}
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		// add <strong> around search terms
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		if (word[1] === TERM_WEIGHT) {
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			teaser.push("<strong>");
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		}
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		startIndex = word[2] + word[0].length;
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		teaser.push(body.substring(word[2], startIndex));
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		if (word[1] === TERM_WEIGHT) {
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			teaser.push("</strong>");
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		}
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	}
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	teaser.push("…");
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	return teaser.join("");
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}
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function formatSearchResultItem(item, terms) {
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	return '<div class="item">'
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		+ `<a href="${item.ref}">${item.doc.title}</a>`
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		+ `<span>${makeTeaser(item.doc.body, terms)}</span>`
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		+ '</div>';
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}
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function initSearch() {
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	var searchBar = document.getElementById("search-bar");
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	var searchContainer = document.getElementById("search-container");
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	var searchResults = document.getElementById("search-results");
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	var MAX_ITEMS = 10;
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	var options = {
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		bool: "AND",
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		fields: {
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			title: { boost: 2 },
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			body: { boost: 1 },
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		}
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	};
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	var currentTerm = "";
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	var index;
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	var initIndex = async function () {
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		if (index === undefined) {
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			let searchIndex = document.getElementById("search-index").textContent;
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			index = fetch(searchIndex)
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				.then(
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					async function (response) {
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						return await elasticlunr.Index.load(await response.json());
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					}
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				);
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		}
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		let res = await index;
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		return res;
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	}
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	searchBar.addEventListener("keyup", debounce(async function () {
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		var term = searchBar.value.trim();
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		if (term === currentTerm) {
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			return;
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		}
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		searchResults.style.display = term === "" ? "none" : "flex";
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		searchResults.innerHTML = "";
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		currentTerm = term;
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		if (term === "") {
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			return;
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		}
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		var results = (await initIndex()).search(term, options);
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		if (results.length === 0) {
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			searchResults.style.display = "none";
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			return;
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		}
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		for (var i = 0; i < Math.min(results.length, MAX_ITEMS); i++) {
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			searchResults.innerHTML += formatSearchResultItem(results[i], term.split(" "));
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		}
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	}, 150));
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	document.addEventListener("keydown", function (event) {
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		if (event.key === "/") {
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			event.preventDefault();
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			toggleSearch();
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		}
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	});
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	document.getElementById("search-toggle").addEventListener("click", toggleSearch);
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}
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function toggleSearch() {
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	var searchContainer = document.getElementById("search-container");
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	var searchBar = document.getElementById("search-bar");
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	searchContainer.classList.toggle("active");
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	searchBar.toggleAttribute("disabled");
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	searchBar.focus();
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}
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if (document.readyState === "complete" ||
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	(document.readyState !== "loading" && !document.documentElement.doScroll)
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) {
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	initSearch();
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} else {
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	document.addEventListener("DOMContentLoaded", initSearch);
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}
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