Dive into secure and efficient coding practices with our curated list of the top 10 examples showcasing 'string-similarity' in functional components in JavaScript. Our advanced machine learning engine meticulously scans each line of code, cross-referencing millions of open source libraries to ensure your implementation is not just functional, but also robust and secure. Elevate your React applications to new heights by mastering the art of handling side effects, API calls, and asynchronous operations with confidence and precision.
this.terminate('finished browsing on root node');
}
return;
} else {
this.repeatingCrawlingCount = 0;
}
} catch (e) {
this.terminate(e.stack);
}
// check is new
let isNew = true;
for (let index in this.crawlingBuffer) {
if (this.crawlingBuffer[index] &&
this.crawlingBuffer[index].text &&
stringSimilarity.compareTwoStrings(node.text, this.crawlingBuffer[index].text) >= 0.90) {
isNew = false;
node = this.crawlingBuffer[index];
this.currentNode = this.crawlingBuffer[index];
console.log('similar page exists');
break;
}
}
// if new, load actions to current node
if (isNew) {
// if reaching max depth, avoid crawling for current page
if (this.currentNode && this.currentNode.depth >= this.config.depth) {
console.log('exceeding max depth, triggering back');
this.back();
return;
}
function bestCat(label, showRating = false, log = false) {
const lbl = label.toLowerCase()
if (lbl in SIM_EXCEPTIONS) {
const target = SIM_EXCEPTIONS[lbl]
return showRating ? {target, rating: 1} : target
}
const match = {...strSim.findBestMatch(lbl, CATEGORIES).bestMatch, ref: 'M'}
const seMatch = {...strSim.findBestMatch(lbl, SE).bestMatch, ref: 'SE'}
const nclMatch = {
...strSim.findBestMatch(lbl, NON_CATEGORY_LABELS).bestMatch,
ref: 'NC',
}
const clMatch = {...strSim.findBestMatch(lbl, CL).bestMatch, ref: 'CL'}
const scores = [match, seMatch, clMatch, nclMatch].sort(
(a, b) => b.rating - a.rating,
)
if (log) {
//eslint-disable-next-line no-console
console.log('scores=', scores)
}
let idx = 0
while (scores[idx++].rating < MATCH_THRESHOLD && idx < scores.length) {
/* */
}
const related = this.isDefined(option, 'options');
if (related) {
const details = this.readOption(related);
Object.assign(options, details);
}
if (!related && !definedSubcommand) {
// Unknown Option
const availableOptions = [];
this.details.options.forEach((opt) => {
availableOptions.push(...opt.usage);
});
const suggestOption = stringSimilarity.findBestMatch(
option,
availableOptions,
);
console.log(`The option "${option}" is unknown.`); // eslint-disable-line
if (suggestOption.bestMatch.rating >= 0.5) {
console.log(' Did you mean the following one?\n'); // eslint-disable-line
const suggestion = this.details.options.filter((item) => {
for (const flag of item.usage) {
if (flag === suggestOption.bestMatch.target) {
return true;
}
}
const getClosest = (value, list) => {
const matches = stringSimilarity.findBestMatch(value, list);
// only return the best match if its greater than .5 in similarity
return matches.bestMatch.rating >= 0.5 ? matches.bestMatch.target : '';
};
texts.forEach((text, i) => {
const similarity = compareTwoStrings(text, target);
if (similarity > bestSimilarity) {
idx = i;
bestSimilarity = similarity;
}
});
let term = suggestion.term;
if (suggestion.sub_type) { term += ` (${suggestion.sub_type})`; }
return value === term;
}) || suggestions[0];
if (topSuggestion) {
let term = topSuggestion.term;
if (topSuggestion.sub_type) {
term += ` (${topSuggestion.sub_type})`;
topSuggestion.term = term;
}
if (topSuggestion.term_type === "_locations") {
let locParts = topSuggestion.term.split(", ");
value = value.split(", ")[0];
if (locParts.length) { term = locParts[0]; }
}
let similarity = Similarity.compareTwoStrings(value, term);
if (similarity > this.SIMILARITY_THRESHOLD) {
return this.gotoSearch(event, topSuggestion);
}
}
}
return this.gotoSearch(event, {
"term_type": "_all",
"term": value
});
}
function bestCat(label, showRating = false, log = false) {
const lbl = label.toLowerCase()
if (lbl in SIM_EXCEPTIONS) {
const target = SIM_EXCEPTIONS[lbl]
return showRating ? {target, rating: 1} : target
}
const match = {...strSim.findBestMatch(lbl, CATEGORIES).bestMatch, ref: 'M'}
const seMatch = {...strSim.findBestMatch(lbl, SE).bestMatch, ref: 'SE'}
const nclMatch = {
...strSim.findBestMatch(lbl, NON_CATEGORY_LABELS).bestMatch,
ref: 'NC',
}
const clMatch = {...strSim.findBestMatch(lbl, CL).bestMatch, ref: 'CL'}
const scores = [match, seMatch, clMatch, nclMatch].sort(
(a, b) => b.rating - a.rating,
)
if (log) {
//eslint-disable-next-line no-console
console.log('scores=', scores)
}
let idx = 0
while (scores[idx++].rating < MATCH_THRESHOLD && idx < scores.length) {
const thisTitle = t.content.title;
const titleSimilarity = stringSimilarity.compareTwoStrings(
incomingTitle,
thisTitle
);
debug(`Title similarity score for spam check: ${titleSimilarity}`);
if (titleSimilarity > 0.8) return true;
if (thread.content.body) {
const incomingBody = threadBodyToPlainText(thread.content.body);
const thisBody = threadBodyToPlainText(t.content.body);
if (incomingBody.length === 0 || thisBody.length === 0) return false;
const bodySimilarity = stringSimilarity.compareTwoStrings(
incomingBody,
thisBody
);
debug(`Body similarity score for spam check: ${bodySimilarity}`);
if (bodySimilarity > 0.8) return true;
}
return false;
});
(script, index) =>
stringSimilarity.compareTwoStrings(
script.contents.replace(/[0-9]/g, ''),
job.scripts[index].contents.replace(/[0-9]/g, ''),
) < similarIndication,
),
const sortBestMatch = query => (a, b) => {
const matchA = compareTwoStrings(query, a.name)
const matchB = compareTwoStrings(query, b.name)
return matchB - matchA
}