The Tiny Coding Giant

Pulling manifest... 🔥 Downloading the Tiny Coding Giant... Downloading 1.8GB [████████████████████] 100% ⚡ Model ready! The efficiency revolution starts now. 🧠 1.5B parameters that outperform 7B giants loaded! 💾 Memory footprint: 2.1GB (90% less than competitors)

// ⚡ Efficiency-First Edge Computing App - Generated by Tiny Coding Giant package main import ( "context" "encoding/json" "fmt" "log" "net/http" "runtime" "sync" "time" ) // EdgeProcessor - Lightweight processing engine optimized for resource constraints type EdgeProcessor struct { maxWorkers int taskQueue chan Task resultQueue chan Result workerPool sync.WaitGroup ctx context.Context cancel context.CancelFunc memoryLimit int64 // Memory limit in bytes } // Task - Minimal task structure for efficiency type Task struct { ID string `json:"id"` Type string `json:"type"` Payload interface{} `json:"payload"` Priority int `json:"priority"` } // Result - Lightweight result structure type Result struct { TaskID string `json:"task_id"` Success bool `json:"success"` Data interface{} `json:"data,omitempty"` Error string `json:"error,omitempty"` ProcessTime time.Duration `json:"process_time"` } // NewEdgeProcessor - Creates optimized processor for edge devices func NewEdgeProcessor(maxWorkers int, memoryLimitMB int64) *EdgeProcessor { ctx, cancel := context.WithCancel(context.Background()) // Adaptive worker count based on available CPU cores if maxWorkers <= 0 { maxWorkers = runtime.NumCPU() if maxWorkers > 4 { // Limit for edge devices maxWorkers = 4 } } return &EdgeProcessor{ maxWorkers: maxWorkers, taskQueue: make(chan Task, maxWorkers*2), // Buffered for efficiency resultQueue: make(chan Result, maxWorkers*2), ctx: ctx, cancel: cancel, memoryLimit: memoryLimitMB * 1024 * 1024, // Convert to bytes } } // Start - Initializes the edge processing engine func (ep *EdgeProcessor) Start() { log.Printf("🚀 Starting Edge Processor with %d workers (Memory limit: %dMB)", ep.maxWorkers, ep.memoryLimit/(1024*1024)) // Start worker goroutines for i := 0; i < ep.maxWorkers; i++ { ep.workerPool.Add(1) go ep.worker(i) } // Start memory monitor go ep.memoryMonitor() log.Println("✅ Edge Processor ready for high-efficiency processing") } // worker - Efficient worker implementation func (ep *EdgeProcessor) worker(id int) { defer ep.workerPool.Done() log.Printf("👷 Worker %d started", id) for { select { case task := <-ep.taskQueue: start := time.Now() result := ep.processTask(task) result.ProcessTime = time.Since(start) select { case ep.resultQueue <- result: // Result queued successfully case <-ep.ctx.Done(): return default: log.Printf("⚠️ Result queue full, dropping result for task %s", task.ID) } case <-ep.ctx.Done(): log.Printf("🛑 Worker %d shutting down", id) return } } } // processTask - Core task processing logic optimized for edge func (ep *EdgeProcessor) processTask(task Task) Result { result := Result{ TaskID: task.ID, Success: false, } // Memory-conscious processing based on task type switch task.Type { case "data_analysis": result.Data, result.Error = ep.processDataAnalysis(task.Payload) result.Success = result.Error == "" case "image_resize": result.Data, result.Error = ep.processImageResize(task.Payload) result.Success = result.Error == "" case "text_processing": result.Data, result.Error = ep.processTextProcessing(task.Payload) result.Success = result.Error == "" default: result.Error = fmt.Sprintf("unknown task type: %s", task.Type) } return result } // memoryMonitor - Monitors memory usage and triggers GC when needed func (ep *EdgeProcessor) memoryMonitor() { ticker := time.NewTicker(30 * time.Second) defer ticker.Stop() for { select { case <-ticker.C: var m runtime.MemStats runtime.ReadMemStats(&m) currentMemory := int64(m.Alloc) if currentMemory > ep.memoryLimit*80/100 { // 80% threshold log.Printf("🧹 Memory usage high (%dMB), triggering GC", currentMemory/(1024*1024)) runtime.GC() } case <-ep.ctx.Done(): return } } } // HTTP handlers for edge API func (ep *EdgeProcessor) setupRoutes() *http.ServeMux { mux := http.NewServeMux() // Health check endpoint mux.HandleFunc("/health", func(w http.ResponseWriter, r *http.Request) { var m runtime.MemStats runtime.ReadMemStats(&m) health := map[string]interface{}{ "status": "healthy", "workers": ep.maxWorkers, "memory_mb": m.Alloc / 1024 / 1024, "memory_limit": ep.memoryLimit / 1024 / 1024, "goroutines": runtime.NumGoroutine(), } w.Header().Set("Content-Type", "application/json") json.NewEncoder(w).Encode(health) }) // Task submission endpoint mux.HandleFunc("/tasks", func(w http.ResponseWriter, r *http.Request) { if r.Method != http.MethodPost { http.Error(w, "Method not allowed", http.StatusMethodNotAllowed) return } var task Task if err := json.NewDecoder(r.Body).Decode(&task); err != nil { http.Error(w, "Invalid JSON", http.StatusBadRequest) return } select { case ep.taskQueue <- task: w.WriteHeader(http.StatusAccepted) json.NewEncoder(w).Encode(map[string]string{ "status": "accepted", "task_id": task.ID, }) default: http.Error(w, "Task queue full", http.StatusTooManyRequests) } }) return mux } // Dummy processing functions (implement based on your needs) func (ep *EdgeProcessor) processDataAnalysis(payload interface{}) (interface{}, string) { // Implement efficient data analysis logic return map[string]interface{}{"analyzed": true, "efficiency": "optimal"}, "" } func (ep *EdgeProcessor) processImageResize(payload interface{}) (interface{}, string) { // Implement memory-efficient image processing return map[string]interface{}{"resized": true, "format": "optimized"}, "" } func (ep *EdgeProcessor) processTextProcessing(payload interface{}) (interface{}, string) { // Implement efficient text processing return map[string]interface{}{"processed": true, "method": "lightweight"}, "" } // Stop - Gracefully shuts down the processor func (ep *EdgeProcessor) Stop() { log.Println("🛑 Shutting down Edge Processor...") ep.cancel() ep.workerPool.Wait() close(ep.taskQueue) close(ep.resultQueue) log.Println("✅ Edge Processor stopped gracefully") } func main() { // Initialize with edge-optimized settings processor := NewEdgeProcessor(2, 512) // 2 workers, 512MB limit processor.Start() defer processor.Stop() // Setup HTTP server mux := processor.setupRoutes() server := &http.Server{ Addr: ":8080", Handler: mux, ReadTimeout: 10 * time.Second, WriteTimeout: 10 * time.Second, IdleTimeout: 60 * time.Second, } log.Println("🌐 Edge Computing API listening on :8080") log.Fatal(server.ListenAndServe()) } /* 🎯 Generated by Qwen 2.5 Coder 1.5B - The Tiny Coding Giant ⚡ Optimized for edge devices with minimal resource usage 🧠 Memory-conscious design with adaptive worker pools 🔋 Battery-friendly processing with automatic GC management 📊 Built-in monitoring and health checks for edge deployment */