Hello!
I am on Ventura 13.0
Following the instructions of the 4th project in hackingwithmacos.
It builds successfully, but this error shows up:
Library not loaded: @rpath/ArgumentParser.framework/Versions/A/ArgumentParser
Referenced from: <E739D89A-A284-3F24-B6E0-0AFAAA9DA076> /Users/eldarsadykov/Library/Developer/Xcode/DerivedData/TextParser-dnxyhkkdpuisukavhgstgcvfpkwl/Build/Products/Debug/TextParser
Reason: tried: '/System/Volumes/Preboot/Cryptexes/OS@rpath/ArgumentParser.framework/Versions/A/ArgumentParser' (no such file), '/Library/Frameworks/ArgumentParser.framework/Versions/A/ArgumentParser' (no such file), '/System/Library/Frameworks/ArgumentParser.framework/Versions/A/ArgumentParser' (no such file, not in dyld cache)
zsh: abort ./TextParser Designed by Steve Jobs in New York
My code:
import ArgumentParser
import Foundation
import NaturalLanguage
@main
struct App: ParsableCommand {
@Argument(help: "The text you want to analyze")
var input: [String]
mutating func run() {
let text = input.joined(separator: " ")
let language = NLLanguageRecognizer.dominantLanguage(for: text) ?? .undetermined
print()
print("Detected language: \(language.rawValue)")
print(text)
print()
let sentiment = sentiment(for: text)
print("Sentiment analysis: \(sentiment)")
print()
let lemma = lemmatize(string: text)
print()
print("Found the following alternatives:")
for word in lemma {
let embeddings = embeddings(for: word)
print("\t\(word): ", embeddings.formatted(.list(type: .and)))
}
let entities = entities(for: text)
print()
print("Found the following entities:")
for entity in entities {
print("\t", entity)
}
}
func sentiment(for string: String) -> Double {
let tagger = NLTagger(tagSchemes: [.sentimentScore])
tagger.string = string
let (sentiment, _) = tagger.tag(at: string.startIndex, unit: .paragraph, scheme: .sentimentScore)
return Double(sentiment?.rawValue ?? "0") ?? 0
}
func embeddings(for word: String) -> [String] {
var results = [String]()
if let embedding = NLEmbedding.wordEmbedding(for: .english) {
let similarWords = embedding.neighbors(for: word, maximumCount: 10)
for word in similarWords {
results.append("\(word.0) has a distance of \(word.1)")
}
}
return results
}
func lemmatize(string: String) -> [String] {
let tagger = NLTagger(tagSchemes: [.lemma])
tagger.string = string
var results = [String]()
tagger.enumerateTags(in: string.startIndex ..< string.endIndex,
unit: .word, scheme: .lemma) { tag, range in
let stemForm = tag?.rawValue ??
String(string[range]).trimmingCharacters(in: .whitespaces)
if stemForm.isEmpty == false {
results.append(stemForm)
}
return true
}
return results
}
func entities(for string: String) -> [String] {
let tagger = NLTagger(tagSchemes: [.nameType])
tagger.string = string
var results = [String]()
tagger.enumerateTags(in: string.startIndex ..< string.endIndex,
unit: .word,
scheme: .nameType,
options: .joinNames) { tag, range in
guard let tag = tag else { return true }
let match = String(string[range])
switch tag {
case .organizationName:
results.append("Organization: \(match)")
case .personalName:
results.append("Person: \(match)")
case .placeName:
results.append("Place: \(match)")
default:
break
}
return true
}
return results
}
}
