The Flash and Optimus algorithms represent the cutting-edge of Swift-native diff processing, leveraging Swift's built-in string manipulation and CollectionDifference APIs for maximum performance and compatibility.
| Algorithm | 🚀 Create (ms) | ⚡ Apply (ms) | 🎯 Total (ms) | 📊 Operations | 🔧 Complexity | 🎨 Type |
|---|---|---|---|---|---|---|
| 🔍 Zoom | 23.9 | 9.1 | 33.0 | 3 | O(n) | Character-based |
| 🧠 Megatron | 47.8 | 7.0 | 54.8 | 1256 | O(n log n) | Semantic |
| ⚡ Flash | 14.5 | 6.6 | 21.0 | 3 | O(n) | Swift Native |
| 🌟 Starscream | 45.1 | 6.9 | 52.0 | 1256 | O(n log n) | Line-aware |
| 🤖 Optimus | 43.7 | 6.6 | 50.3 | 1256 | O(n log n) | CollectionDiff |
- 🥇 Fastest Create: Flash (14.5ms) - 2.3x faster than nearest competitor
- 🥇 Fastest Apply: Flash (6.6ms) - Tied for best application speed
- 🥇 Fastest Total: Flash (21.0ms) - 36% faster than Zoom
- 🥇 Fewest Operations: Flash & Zoom (3 operations) - Most efficient
Flash is the fastest diff algorithm in the MultiLineDiff library, using Swift's native string manipulation methods (commonPrefix, commonSuffix) for lightning-fast performance.
// Flash Algorithm Process:
// 1. Find common prefix between source and destination
// 2. Find common suffix in remaining text
// 3. Generate minimal operations for the middle section
let source = "Hello, world!"
let destination = "Hello, Swift!"
// Flash identifies:
// Prefix: "Hello, " (7 chars) → RETAIN
// Middle: "world" → DELETE, "Swift" → INSERT
// Suffix: "!" (1 char) → RETAINFlash generates three core operation types:
@frozen public enum DiffOperation {
case retain(Int) // 📎 Keep characters from source
case insert(String) // ✅ Add new content
case delete(Int) // ❌ Remove characters from source
}// Create diff using Flash algorithm
let diff = MultiLineDiff.createDiff(
source: "Hello, world!",
destination: "Hello, Swift!",
algorithm: .flash
)
// Apply the diff
let result = try MultiLineDiff.applyDiff(to: source, diff: diff)
print(result) // "Hello, Swift!"// Generate AI-friendly ASCII diff
let aiDiff = MultiLineDiff.createAndDisplayDiff(
source: oldCode,
destination: newCode,
format: .ai,
algorithm: .flash
)
// Generate terminal diff with colors
let terminalDiff = MultiLineDiff.createAndDisplayDiff(
source: oldCode,
destination: newCode,
format: .terminal,
algorithm: .flash
)Source Code:
func greet(name: String) -> String {
return "Hello, \(name)!"
}Destination Code:
func greet(name: String, greeting: String = "Hello") -> String {
return "\(greeting), \(name)!"
}Flash ASCII Diff Output:
📎 func greet(name: String
❌ ) -> String {
❌ return "Hello
✅ , greeting: String = "Hello") -> String {
✅ return "\(greeting)
📎 , \(name)!"
📎 }Flash Operations:
[
.retain(22), // "func greet(name: String"
.delete(25), // ") -> String {\n return \"Hello"
.insert(", greeting: String = \"Hello\") -> String {\n return \"\(greeting)"),
.retain(10) // ", \(name)!\"\n}"
]| 🎯 Advantage | 📊 Benefit |
|---|---|
| 🚀 Speed | 2.3x faster than nearest competitor |
| 🔧 Simplicity | Minimal operations (typically 3-4) |
| 🧠 Memory | Low memory footprint |
| ⚙️ Native | Uses Swift's optimized string methods |
| 🎯 Accuracy | Perfect for character-level changes |
| 📝 Description | |
|---|---|
| 📄 Line Awareness | Not optimized for line-by-line changes |
| 🔍 Granularity | Less detailed than semantic algorithms |
| 📊 Operations | Fewer operations may miss fine details |
Optimus combines the power of CollectionDifference with line-aware processing, providing Todd-compatible operation counts with enhanced performance.
// Optimus Algorithm Process:
// 1. Split text into lines preserving line endings
// 2. Use CollectionDifference to find line changes
// 3. Convert to character-based operations
// 4. Consolidate consecutive operations
let sourceLines = source.efficientLines
let destLines = destination.efficientLines
let difference = destLines.difference(from: sourceLines)// Create diff using Optimus algorithm
let diff = MultiLineDiff.createDiff(
source: sourceCode,
destination: modifiedCode,
algorithm: .optimus
)
// Apply the diff
let result = try MultiLineDiff.applyDiff(to: sourceCode, diff: diff)// Create diff with metadata for debugging
let diff = MultiLineDiff.createDiff(
source: sourceCode,
destination: modifiedCode,
algorithm: .optimus,
includeMetadata: true
)
print("Algorithm used: \(diff.metadata?.algorithmUsed?.displayName ?? "Unknown")")
print("Operations count: \(diff.operations.count)")Source Code:
class UserManager {
private var users: [String: User] = [:]
func addUser(name: String, email: String) -> Bool {
guard !name.isEmpty && !email.isEmpty else {
return false
}
let user = User(name: name, email: email)
users[email] = user
return true
}
}Destination Code:
class UserManager {
private var users: [String: User] = [:]
private var userCount: Int = 0
func addUser(name: String, email: String, age: Int = 0) -> Result<User, UserError> {
guard !name.isEmpty && !email.isEmpty else {
return .failure(.invalidInput)
}
let user = User(id: UUID(), name: name, email: email, age: age)
users[email] = user
userCount += 1
return .success(user)
}
}Optimus ASCII Diff Output:
📎 class UserManager {
📎 private var users: [String: User] = [:]
✅ private var userCount: Int = 0
📎
❌ func addUser(name: String, email: String) -> Bool {
✅ func addUser(name: String, email: String, age: Int = 0) -> Result<User, UserError> {
📎 guard !name.isEmpty && !email.isEmpty else {
❌ return false
✅ return .failure(.invalidInput)
📎 }
📎
❌ let user = User(name: name, email: email)
✅ let user = User(id: UUID(), name: name, email: email, age: age)
📎 users[email] = user
❌ return true
✅ userCount += 1
✅ return .success(user)
📎 }
📎 }
| 🎯 Advantage | 📊 Benefit |
|---|---|
| 📄 Line Aware | Optimized for line-by-line changes |
| 🔍 Detailed | High operation count for precision |
| ⚙️ Native | Uses Swift's CollectionDifference |
| 🧠 Compatible | Todd-compatible operation counts |
| 🎯 Semantic | Understands code structure |
| 📝 Description | |
|---|---|
| ⏱️ Speed | Slower than Flash for simple changes |
| 📊 Operations | Higher operation count (more memory) |
| 🔧 Complexity | More complex than character-based algorithms |
Purpose: Keep existing characters from the source text unchanged.
// Source: "Hello, world!"
// Destination: "Hello, Swift!"
// Retain: "Hello, " (first 7 characters)
.retain(7) // Keep "Hello, "Purpose: Remove characters from the source text.
// Source: "Hello, world!"
// Destination: "Hello, Swift!"
// Delete: "world" (5 characters)
.delete(5) // Remove "world"Purpose: Add new content not present in the source.
// Source: "Hello, world!"
// Destination: "Hello, Swift!"
// Insert: "Swift" (new content)
.insert("Swift") // Add "Swift"// Transform "Hello, world!" → "Hello, Swift!"
let operations: [DiffOperation] = [
.retain(7), // Keep "Hello, "
.delete(5), // Remove "world"
.insert("Swift"), // Add "Swift"
.retain(1) // Keep "!"
]- ✅ Speed is critical - Need fastest possible performance
- ✅ Simple changes - Character-level modifications
- ✅ Memory constrained - Limited memory available
- ✅ Minimal operations - Want fewest operations possible
// Perfect for Flash
let diff = MultiLineDiff.createDiff(
source: "Hello, world!",
destination: "Hello, Swift!",
algorithm: .flash // 🚀 Fastest choice
)- ✅ Line-aware changes - Working with code/structured text
- ✅ Detailed operations - Need fine-grained operation tracking
- ✅ Semantic understanding - Want algorithm to understand structure
- ✅ Todd compatibility - Need similar operation counts to Megatron
// Perfect for Optimus
let diff = MultiLineDiff.createDiff(
source: sourceCode,
destination: modifiedCode,
algorithm: .optimus // 🤖 Line-aware choice
)| Algorithm | Time | Winner |
|---|---|---|
| Flash | 14.5ms | 🥇 |
| Optimus | 43.7ms | |
| Zoom | 23.9ms |
| Algorithm | Time | Winner |
|---|---|---|
| Flash | 21.0ms | 🥇 |
| Optimus | 50.3ms | |
| Megatron | 54.8ms |
| Algorithm | Efficiency | Winner |
|---|---|---|
| Flash | Excellent | 🥇 |
| Optimus | Good | |
| Starscream | Good |
Scenario: Updating a configuration file
let oldConfig = """
server.port=8080
database.host=localhost
debug.enabled=false
"""
let newConfig = """
server.port=3000
database.host=production.db.com
database.pool=10
debug.enabled=true
"""
// Flash: Fast for simple key-value changes
let flashDiff = MultiLineDiff.createAndDisplayDiff(
source: oldConfig,
destination: newConfig,
format: .ai,
algorithm: .flash
)Flash Output:
📎 server.port=
❌ 8080
❌ database.host=localhost
❌ debug.enabled=false
✅ 3000
✅ database.host=production.db.com
✅ database.pool=10
✅ debug.enabled=true
Scenario: Refactoring a Swift class
// Optimus: Perfect for code structure changes
let optimusDiff = MultiLineDiff.createAndDisplayDiff(
source: originalClass,
destination: refactoredClass,
format: .ai,
algorithm: .optimus
)Optimus Output:
📎 class UserService {
❌ func validateUser(_ user: User) -> Bool {
✅ func validateUser(_ user: User) -> ValidationResult {
📎 guard !user.name.isEmpty else {
❌ return false
✅ return .invalid(.emptyName)
📎 }
❌ return true
✅ return .valid
📎 }
📎 }// Compare all algorithms for the same input
let algorithms: [DiffAlgorithm] = [.flash, .optimus, .zoom, .megatron, .starscream]
for algorithm in algorithms {
let start = Date()
let diff = MultiLineDiff.createDiff(
source: sourceText,
destination: destinationText,
algorithm: algorithm
)
let time = Date().timeIntervalSince(start)
print("\(algorithm.displayName): \(time*1000)ms, \(diff.operations.count) operations")
}// Monitor Flash performance
func benchmarkFlash(source: String, destination: String, iterations: Int = 100) {
let start = Date()
for _ in 0..<iterations {
let diff = MultiLineDiff.createDiff(
source: source,
destination: destination,
algorithm: .flash
)
_ = try? MultiLineDiff.applyDiff(to: source, diff: diff)
}
let totalTime = Date().timeIntervalSince(start)
let avgTime = totalTime / Double(iterations)
print("Flash Average: \(avgTime * 1000)ms per operation")
}func selectOptimalAlgorithm(sourceLength: Int, destinationLength: Int) -> DiffAlgorithm {
let totalLength = sourceLength + destinationLength
switch totalLength {
case 0..<1000:
return .flash // 🚀 Speed for small texts
case 1000..<10000:
return .optimus // 🤖 Balance for medium texts
default:
return .flash // 🚀 Still fastest for large texts
}
}
// Usage
let algorithm = selectOptimalAlgorithm(
sourceLength: source.count,
destinationLength: destination.count
)
let diff = MultiLineDiff.createDiff(
source: source,
destination: destination,
algorithm: algorithm
)- 🎯 Use for speed-critical applications
- 📝 Perfect for simple text changes
- 🔧 Ideal for real-time diff generation
- 💾 Great for memory-constrained environments
// Flash best practice
let diff = MultiLineDiff.createDiff(
source: userInput,
destination: correctedInput,
algorithm: .flash,
includeMetadata: false // Skip metadata for speed
)- 📄 Use for code and structured text
- 🔍 When you need detailed operation tracking
- 🧠 For semantic understanding of changes
- 📊 When operation count matters
// Optimus best practice
let diff = MultiLineDiff.createDiff(
source: originalCode,
destination: refactoredCode,
algorithm: .optimus,
includeMetadata: true // Include metadata for analysis
)- 🥇 Fastest algorithm in the entire library
- 🎯 Perfect for simple changes and real-time applications
- 🔧 Minimal operations for maximum efficiency
- ⚙️ Swift-native string manipulation for optimal performance
- 📄 Line-aware processing for structured text
- 🔍 Detailed operations for precise change tracking
- 🧠 Semantic understanding of text structure
- ⚙️ CollectionDifference integration for reliability
| Scenario | Algorithm | Reason |
|---|---|---|
| Real-time editing | Flash ⚡ | Speed is critical |
| Code refactoring | Optimus 🤖 | Line-aware changes |
| Simple text changes | Flash ⚡ | Minimal operations |
| Detailed analysis | Optimus 🤖 | High operation count |
| Memory constrained | Flash ⚡ | Low memory usage |
| Structured content | Optimus 🤖 | Semantic awareness |
Both Flash and Optimus represent the pinnacle of Swift-native diff processing, each optimized for different use cases while maintaining the highest standards of performance and reliability. Choose Flash for speed, choose Optimus for intelligence! 🚀🤖