Condition Design Patterns
Loop Condition Strategies in Go
1. Range-based Iteration
Range provides a powerful and concise way to iterate over collections:
package main
import "fmt"
func main() {
// Iterating over slice
fruits := []string{"apple", "banana", "cherry"}
for index, fruit := range fruits {
fmt.Printf("Index: %d, Fruit: %s\n", index, fruit)
}
// Iterating over map
ages := map[string]int{
"Alice": 30,
"Bob": 25,
}
for name, age := range ages {
fmt.Printf("Name: %s, Age: %d\n", name, age)
}
}
2. Conditional Loop Termination
flowchart TD
A[Start Loop] --> B{Condition Check}
B -->|True| C[Execute Loop Body]
C --> B
B -->|False| D[Exit Loop]
Example of conditional termination:
package main
import "fmt"
func main() {
// Loop with complex condition
x := 0
for x < 10 && someCondition(x) {
fmt.Println(x)
x++
}
}
func someCondition(n int) bool {
return n%2 == 0 // Example condition
}
3. Infinite Loop with Break Condition
package main
import (
"fmt"
"time"
)
func main() {
// Infinite loop with controlled exit
for {
// Continuous processing
if checkTerminationCondition() {
break
}
time.Sleep(time.Second)
}
}
func checkTerminationCondition() bool {
// Custom termination logic
return false
}
Advanced Condition Patterns
Nested Loop Conditions
package main
import "fmt"
func main() {
// Nested loop with multiple conditions
for i := 0; i < 5; i++ {
for j := 0; j < 5; j++ {
if i == j {
fmt.Printf("Matched: %d, %d\n", i, j)
}
}
}
}
Condition Design Patterns Comparison
Pattern |
Use Case |
Complexity |
Performance |
Range Iteration |
Collections |
Low |
Efficient |
Conditional Termination |
Complex Loops |
Medium |
Moderate |
Infinite Loop |
Continuous Processing |
High |
Depends on Exit Condition |
Best Practices
- Choose the simplest loop condition possible
- Avoid complex nested conditions
- Use break and continue strategically
- Ensure clear termination logic
- Minimize condition complexity
- Avoid unnecessary computations in loop conditions
- Use early exit strategies
Conclusion
Mastering loop condition design is crucial for writing efficient Go code. LabEx recommends practicing these patterns to improve your programming skills.