prefer efficient algorithms

Choose more efficient algorithmic approaches by leveraging built-in methods and APIs instead of implementing manual solutions. This includes using iterator methods over manual loops, direct comparisons over complex operations, and existing path traversal APIs over custom implementations.

Key optimizations to apply:

• Use iterator methods like .next().done instead of manual for-loops with early returns
• Prefer direct comparisons (a.offset - b.offset) over complex multi-step operations
• Leverage existing APIs like path.siblings, path.next, path.index instead of manual array traversal with findIndex() and find()
• Consider O(1) operations and appropriate data structures for performance-critical code

Example transformations:

// Instead of manual loop with early return
function isLeaf(node, options) {
  for (const _ of getChildren(node, options)) {
    return false;
  }
  return true;
}

// Use iterator method
function isLeaf(node, options) {
  return getChildren(node, options).next().done;
}

// Instead of complex string operations
if (!options.originalText.slice(locEnd(iNode), locStart(iNextNode)).includes(" "))

// Use direct comparison
if (locEnd(iNode) === locStart(iNextNode))

// Instead of manual array traversal
const elementIdx = elements.findIndex((v) => v == elementNode);
const nextNode = elements.find((e, i) => i > elementIdx && e !== null);

// Use path APIs
// path.siblings, path.next, path.index should be used

This approach reduces computational complexity, improves readability, and leverages well-tested library functions.