Choose optimal algorithms

When implementing functionality, carefully evaluate and select the most efficient algorithmic approaches for data processing, pattern matching, and operations. Consider computational complexity and performance implications of different approaches.

Key principles:

• Use built-in optimized operations like flatten() instead of manual clone-and-map chains
• Prefer pattern matching over boolean flag checks for cleaner branching logic
• Select appropriate algorithms for specific use cases (e.g., ID generation, deserialization)
• Avoid unnecessary data cloning when more efficient alternatives exist

Example of applying pattern matching instead of boolean checks:

// Instead of:
let is_mca_connector_type_payout = matches!(mca.connector_type, enums::ConnectorType::PayoutProcessor);
if is_mca_connector_type_payout {
    // handle payout logic
} else {
    // handle payment logic  
}

// Use direct pattern matching:
match mca.connector_type {
    enums::ConnectorType::PayoutProcessor => {
        // handle payout logic
    }
    _ => {
        // handle payment logic
    }
}

This approach reduces intermediate variables, improves readability, and makes the algorithmic flow more explicit. Always consider the computational complexity and choose the approach that best balances performance, maintainability, and clarity.