Threads in Spring
1package main23import (4 "fmt"5 "sync"6)78func taskOne(wg *sync.WaitGroup, ch chan<- string) {9 defer wg.Done()10 // Seeking wisdom high11 // Threads climb misty peaks, and find12 // Insights crisp and clear13 ch <- "Found wisdom on high"14}1516func taskTwo(wg *sync.WaitGroup, ch chan<- string) {17 defer wg.Done()18 // Deep in earth's dark loam19 // Thread roots trace ancient secrets20 // Nature's hidden code21 ch <- "Found truth in the depths"22}2324func main() {25 var wg sync.WaitGroup26 ch := make(chan string)2728 // In spring's code garden29 // Concurrent thoughts bloom and grow30 // Like vibrant flowers31 wg.Add(2)32 go taskOne(&wg, ch)33 go taskTwo(&wg, ch)3435 // Insights found alone36 // Merge as threads join together37 // Wisdom blossoms forth38 go func() {39 wg.Wait()40 close(ch)41 }()4243 for msg := range ch {44 fmt.Println(msg)45 }46}
Composition Notes
The code poem maintains a cohesive narrative through haiku-structured comments, with each stanza focusing on a single theme. The technical implementation in Go and the poetic expression work together to explore the beauty of concurrent computation.
Technical Notes
The code uses Go's concurrency primitives to implement parallel processing: • Two goroutines, `taskOne` and `taskTwo`, represent concurrent tasks • `sync.WaitGroup` ensures the main goroutine waits for all tasks to complete • Channels facilitate communication between goroutines • An anonymous goroutine waits for tasks to finish and closes the channel
Philosophical Notes
The poem draws parallels between concurrent computation and the natural world. Concurrent thoughts blooming like flowers in a spring code garden suggest the beauty and growth inherent in parallel processing. The merging of insights when threads join together evokes the idea of wisdom blossoming forth from the harmonious synthesis of independent explorations. The poem invites us to see the elegance and interconnectedness of concurrent systems, mirroring the patterns and rhythms of nature.