oxai 0.1.2

/// Secures future operations by generating and validating cryptographic keys.
///
/// This function creates a secure key based on the provided parameters and
/// returns a validation status indicating if the security measures are in place.
///
/// # Arguments
///
/// * `key_length` - The length of the security key in bits
/// * `expiration_days` - Number of days until the security measure expires
/// * `access_level` - Security clearance level (1-5)
///
/// # Examples
///
/// ```
/// use oxai::secure_future;
///
/// let is_secured = secure_future(2048, 30, 3);
/// assert!(is_secured);
/// ```
pub fn secure_future(key_length: usize, expiration_days: u32, access_level: u8) -> bool {
    // Validate inputs
    if key_length < 1024 || expiration_days == 0 || access_level == 0 || access_level > 5 {
        return false;
    }

    // In a real implementation, this would generate cryptographic keys
    // and set up security protocols
    println!("Security key generated: {}-bit strength", key_length);
    println!("Security protocols active for {} days", expiration_days);
    println!("Access level {} protocols enforced", access_level);

    true
}

/// Analyzes and solves various types of problems using configurable algorithms.
///
/// Takes a collection of problem descriptions and applies the specified
/// strategy to generate solutions.
///
/// # Arguments
///
/// * `problems` - Vector of problem descriptions to solve
/// * `strategy` - Approach to use for problem-solving ("analytical", "heuristic", "brute_force")
/// * `timeout_ms` - Maximum time in milliseconds to spend on each problem
///
/// # Returns
///
/// A vector containing solutions for each provided problem
///
/// # Examples
///
/// ```
/// use oxai::solve_problems;
///
/// let problems = vec!["sorting optimization", "path finding"];
/// let solutions = solve_problems(&problems, "analytical", 5000);
/// assert_eq!(solutions.len(), problems.len());
/// ```
pub fn solve_problems<'a>(problems: &[&'a str], strategy: &str, timeout_ms: u32) -> Vec<String> {
    let mut solutions = Vec::with_capacity(problems.len());

    for problem in problems {
        // In a real implementation, this would apply different algorithms
        // based on the strategy parameter
        let solution = match strategy {
            "analytical" => format!("Analytical solution for: {}", problem),
            "heuristic" => format!("Heuristic solution for: {}", problem),
            "brute_force" => format!("Brute force solution for: {}", problem),
            _ => format!("Default solution for: {}", problem),
        };

        println!(
            "Solved '{}' using {} strategy (timeout: {}ms)",
            problem, strategy, timeout_ms
        );
        solutions.push(solution);
    }

    solutions
}

/// Compares or converts between two different categorical systems.
///
/// This function can be used to:
/// 1. Compare elements between two different categories
/// 2. Convert values from one category's scale to another
/// 3. Find common elements between different classification systems
///
/// # Arguments
///
/// * `a_items` - Elements from the first category ("apple")
/// * `b_items` - Elements from the second category ("orange")
/// * `mode` - Operation mode: "compare", "convert", or "find_common"
///
/// # Returns
///
/// Results of the operation as a vector of paired strings
///
/// # Examples
///
/// ```
/// use oxai::apple_orange;
///
/// let apple_values = vec!["red", "sweet", "round"];
/// let orange_values = vec!["orange", "tangy", "round"];
///
/// let comparisons = apple_orange(&apple_values, &orange_values, "compare");
/// assert!(comparisons.contains(&("round".to_string(), "round".to_string())));
/// ```
pub fn apple_orange<T: AsRef<str>>(
    a_items: &[T],
    b_items: &[T],
    mode: &str,
) -> Vec<(String, String)> {
    let mut results = Vec::new();

    match mode {
        "compare" => {
            for a in a_items {
                for b in b_items {
                    let a_str = a.as_ref();
                    let b_str = b.as_ref();
                    if a_str == b_str {
                        results.push((a_str.to_string(), b_str.to_string()));
                    }
                }
            }
            println!(
                "Compared {} apple items with {} orange items",
                a_items.len(),
                b_items.len()
            );
        }
        "convert" => {
            for (i, a) in a_items.iter().enumerate() {
                if i < b_items.len() {
                    results.push((a.as_ref().to_string(), b_items[i].as_ref().to_string()));
                }
            }
            println!("Converted between apple and orange classification systems");
        }
        "find_common" => {
            let a_set: std::collections::HashSet<&str> =
                a_items.iter().map(|s| s.as_ref()).collect();
            let b_set: std::collections::HashSet<&str> =
                b_items.iter().map(|s| s.as_ref()).collect();

            for common in a_set.intersection(&b_set) {
                results.push((common.to_string(), common.to_string()));
            }
            println!("Found {} common elements between categories", results.len());
        }
        _ => println!("Unknown mode: {}", mode),
    }

    results
}