Implement compression data structures

Create implementations for space-efficient data structures:

## Compact data structures:
- Succinct arrays
- Compressed bitvectors
- Wavelet trees
- Compressed suffix arrays
- FM-index
- LOUDS (Level-Order Unary Degree Sequence)
- Succinct tree representations

## Specific implementations:
- Rank and select operations on bitvectors
- Compressed tries
- Succinct dictionaries
- Space-efficient hash tables
- Memory-efficient trees

## Applications:
- Text indexing
- Genome sequence analysis
- Large graph representation
- Information retrieval systems

## Requirements:
- Provide space usage analysis
- Include time complexity for operations
- Create test cases with large datasets
- Document compression vs. speed trade-offs

This collection will demonstrate data structures that achieve near-optimal space usage while still supporting efficient operations, which is crucial for applications dealing with massive datasets.