Avoid redundant computations

Identify and eliminate redundant operations that cause performance bottlenecks by caching expensive function results, performing transformations only when necessary, and implementing lazy evaluation patterns.

Key optimization strategies:

1. Cache expensive function results that may be reused: ```javascript // Before - recalculates camelize(key) multiple times if (camelize(key) in el || key in el) { // do something }

// After - calculates once and reuses const camelKey = camelize(key) if (camelKey in el || key in el) { // do something }

2. Apply transformations selectively rather than to all elements:
```javascript
// Before - unnecessarily transforms all arguments
return arr[key](...args.map(toRaw))

// After - transforms only what's needed
return arr[key](toRaw(args[0]), ...args.slice(1))

1. Use lazy evaluation for expensive operations: ```javascript // Before - calculates expensive operation eagerly if (dep.get(effect) === effect._trackId && effect._runnings > 0) { // use result }

// After - calculates only when needed let tracking: boolean | undefined if ((tracking ??= dep.get(effect) === effect._trackId) && effect._runnings > 0) { // use tracking value }

4. Initialize data structures with values directly when possible:
```javascript
// Before - less efficient
const queue = []
queue.push(['a', 1])

// After - more efficient (benchmark: ~2.25x faster)
const queue = [['a', 1]]

1. Pass appropriate flags to avoid unnecessary work: ```javascript // Before for (let child = this.scopes; child != undefined; child = child.nextEffectScope) { child.stop(); }

// After - avoids unnecessary unlinking operations for (let child = this.scopes; child != undefined; child = child.nextEffectScope) { child.stop(true) } ```

These optimizations become particularly important in hot paths that execute frequently or when working with large data structures.