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englishVocabulary.go
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englishVocabulary.go
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package main
import (
"bytes"
"compress/gzip"
"encoding/base64"
"fmt"
"io"
"math/rand"
"strings"
)
const englishNounsData = "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"
const englishVerbsData = 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"
const englishAdverbsData = "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"
const englishAdjectivesData = "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"
func getEnglishVocabWord(partOfSpeech string) string {
var vocabData string
switch partOfSpeech {
case "noun":
vocabData = englishNounsData
case "adjective":
vocabData = englishAdjectivesData
case "verb":
vocabData = englishVerbsData
case "adverb":
vocabData = englishAdverbsData
default:
vocabData = "Invalid part of speech"
}
// Decode the base64 data.
decoded, err := base64.StdEncoding.DecodeString(vocabData)
if err != nil {
panic(err)
}
// Decompress the data.
readerGzip, err := gzip.NewReader(bytes.NewReader(decoded))
if err != nil {
panic(err)
}
defer func(readerGzip *gzip.Reader) {
err := readerGzip.Close()
if err != nil {
fmt.Printf("Error closing the gzip reader")
}
}(readerGzip)
uncompressed, err := io.ReadAll(readerGzip)
if err != nil {
panic(err)
}
// Split the uncompressed data into lines.
lines := strings.Split(string(uncompressed), "\n")
// Seeded at runtime
// Seed the random number generator.
//rand.Seed(time.Now().UnixNano())
// Select a random word.
index := rand.Intn(len(lines) - 1)
randomWord := lines[index]
//randomWordAlone := strings.Split(randomWordIndexed, "\t")[1]
output := strings.TrimSpace(randomWord)
return output
}