Atomicity: All operations in a transaction either succeed or all are rolled back.

Consistent: The database integrity constraints are valid on completion of the transaction.

Isolated: Simultaneously occurring transactions do not interfere with each other. Contentious concurrent access is moderated by the
database so that transactions appear to run sequentially.

Durable: Irrespective of hardware or software failures, the updates made by the transaction are permanent.

Clear dependencies
Clear syntax
Clear semantics
Composition over inheritance
Simplicity provided by the programming model (garbage collection, concurrency)
Easy tooling (the go tool, gofmt, godoc, gofix)

Binary search using type casting an interface to []int

var numbers = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28}

func binarySearch(in interface{}, target int) int {
 var num = in.([]int)
 left, right := 0, len(num)-1
 for left <= right {
  mid := left + (right-left)/2
  guess := num[mid]
  if target == guess {
   return mid
  }
  if target > guess {
   left = mid + 1 // the guess was too high
  }
  if target < guess {
   right = mid - 1 // the guess was too low
  }
 }
 return -1
}

func main() {
 fmt.Println(binarySearch(numbers, 20))
}

running simple search & binary search in diffrenet gorutines and signaling using channels :

var TIMEOUT = 2 * time.Second

var numbers = []int{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28}

func simpleSearch(input []int, target int) int {
 for i := 0; i < len(input); i++ {
  if input[i] == target {
   return i
  }
 }
 return 0
}

func binarySearch(in interface{}, target int) int {
 var num = in.([]int)
 left, right := 0, len(num)-1
 for left <= right {
  mid := left + (right-left)/2
  guess := num[mid]
  if target == guess {
   return mid
  }
  if target > guess {
   left = mid + 1 // the guess was too high
  }
  if target < guess {
   right = mid - 1 // the guess was too low
  }
 }
 return -1
}

func run(signal chan bool) {
 var fun1 chan bool
 fun1 = make(chan bool)

 go func() {
  timeBinary := time.Now()
  fmt.Println(binarySearch(numbers, 20))
  fmt.Println(time.Since(timeBinary))
  fun1 <- true

 }()

 var fun2 chan bool
 fun2 = make(chan bool)
 go func() {
  timeSimple := time.Now()
  fmt.Println(simpleSearch(numbers, 20))
  fmt.Println(time.Since(timeSimple))
  time.Sleep(10 * time.Second)
  fun2 <- true
 }()

 if <-fun1 && <-fun2 {
  signal <- true
 }
}

func main() {
 sig := make(chan bool)
 go run(sig)

 fmt.Println("Welcome to the playground!")

 select {
 case <-sig:
  fmt.Println("Runner Finished!!!")
 case <-time.After(TIMEOUT):
  fmt.Println("Timed out")
 }
}

this proccess waits until the sig chan recive true or the time out get triggerd.

selection sort implementation

func selection(arr []int) []int {
 length := len(arr)

 for i := 0; i < length; i++ {
  for j := i + 1; j < length; j++ {
   if arr[i] > arr[j] {
    arr[i], arr[j] = arr[j], arr[i]
   }
  }
 }
 return arr
}

func main() {
 fmt.Println("Welcome to the Playground!")
 numbers := nums
 numbers = selection(numbers)
 fmt.Println(numbers)
}

وقتی بالا اوردن یه پروداکت انقدر پیچیدگی داره که حتی توی کتابم ازش صحبتی نمیشه :

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