Entropyk/crates/solver/tests/newton_raphson.rs

251 lines
8.9 KiB
Rust

//! Integration tests for Newton-Raphson solver (Story 4.2).
//!
//! Tests cover:
//! - AC #1: Solver trait and strategy dispatch
//! - AC #2: Configuration options
//! - AC #3: Timeout enforcement
//! - AC #4: Error handling for empty/invalid systems
//! - AC #5: Pre-allocated buffers (no panic)
use approx::assert_relative_eq;
use entropyk_solver::{NewtonConfig, Solver, SolverError, System};
use std::time::Duration;
// ─────────────────────────────────────────────────────────────────────────────
// AC #1: Solver Trait and Strategy Dispatch
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_newton_config_default() {
let cfg = NewtonConfig::default();
assert_eq!(cfg.max_iterations, 100);
assert_relative_eq!(cfg.tolerance, 1e-6);
assert!(!cfg.line_search);
assert!(cfg.timeout.is_none());
assert!(!cfg.use_numerical_jacobian);
assert_relative_eq!(cfg.line_search_armijo_c, 1e-4);
assert_eq!(cfg.line_search_max_backtracks, 20);
assert_relative_eq!(cfg.divergence_threshold, 1e10);
}
#[test]
fn test_newton_config_with_timeout() {
let timeout = Duration::from_millis(500);
let cfg = NewtonConfig::default().with_timeout(timeout);
assert_eq!(cfg.timeout, Some(timeout));
}
#[test]
fn test_newton_config_custom_values() {
let cfg = NewtonConfig {
max_iterations: 50,
tolerance: 1e-8,
line_search: true,
timeout: Some(Duration::from_millis(500)),
use_numerical_jacobian: true,
line_search_armijo_c: 1e-3,
line_search_max_backtracks: 10,
divergence_threshold: 1e8,
..Default::default()
};
assert_eq!(cfg.max_iterations, 50);
assert_relative_eq!(cfg.tolerance, 1e-8);
assert!(cfg.line_search);
assert_eq!(cfg.timeout, Some(Duration::from_millis(500)));
assert!(cfg.use_numerical_jacobian);
assert_relative_eq!(cfg.line_search_armijo_c, 1e-3);
assert_eq!(cfg.line_search_max_backtracks, 10);
assert_relative_eq!(cfg.divergence_threshold, 1e8);
}
// ─────────────────────────────────────────────────────────────────────────────
// AC #2: Empty System Handling
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_empty_system_returns_invalid() {
let mut sys = System::new();
sys.finalize().unwrap();
let mut solver = NewtonConfig::default();
let result = solver.solve(&mut sys);
assert!(result.is_err());
match result {
Err(SolverError::InvalidSystem { message }) => {
assert!(message.contains("Empty") || message.contains("no state"));
}
other => panic!("Expected InvalidSystem, got {:?}", other),
}
}
#[test]
#[should_panic(expected = "finalize")]
fn test_empty_system_without_finalize_panics() {
// System panics if solve() is called without finalize()
// This is expected behavior - the solver requires a finalized system
let mut sys = System::new();
// Don't call finalize
let mut solver = NewtonConfig::default();
let _ = solver.solve(&mut sys);
}
// ─────────────────────────────────────────────────────────────────────────────
// AC #3: Timeout Enforcement
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_timeout_value_in_error() {
let mut sys = System::new();
sys.finalize().unwrap();
let timeout_ms = 10u64;
let mut solver = NewtonConfig {
timeout: Some(Duration::from_millis(timeout_ms)),
..Default::default()
};
let result = solver.solve(&mut sys);
// Empty system returns InvalidSystem immediately (before timeout check)
assert!(result.is_err());
}
// ─────────────────────────────────────────────────────────────────────────────
// AC #4: Error Types
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_error_display_non_convergence() {
let err = SolverError::NonConvergence {
iterations: 42,
final_residual: 1.23e-3,
};
let msg = err.to_string();
assert!(msg.contains("42"));
assert!(msg.contains("1.23"));
}
#[test]
fn test_error_display_timeout() {
let err = SolverError::Timeout { timeout_ms: 500 };
let msg = err.to_string();
assert!(msg.contains("500"));
}
#[test]
fn test_error_display_divergence() {
let err = SolverError::Divergence {
reason: "test reason".to_string(),
};
let msg = err.to_string();
assert!(msg.contains("test reason"));
}
#[test]
fn test_error_display_invalid_system() {
let err = SolverError::InvalidSystem {
message: "test message".to_string(),
};
let msg = err.to_string();
assert!(msg.contains("test message"));
}
#[test]
fn test_error_equality() {
let e1 = SolverError::NonConvergence {
iterations: 10,
final_residual: 1e-3,
};
let e2 = SolverError::NonConvergence {
iterations: 10,
final_residual: 1e-3,
};
assert_eq!(e1, e2);
let e3 = SolverError::Timeout { timeout_ms: 100 };
assert_ne!(e1, e3);
}
// ─────────────────────────────────────────────────────────────────────────────
// AC #5: Pre-Allocated Buffers (No Panic)
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_solver_does_not_panic_on_empty_system() {
let mut sys = System::new();
sys.finalize().unwrap();
let mut solver = NewtonConfig::default();
// Should complete without panic
let result = solver.solve(&mut sys);
assert!(result.is_err());
}
#[test]
fn test_solver_does_not_panic_with_line_search() {
let mut sys = System::new();
sys.finalize().unwrap();
let mut solver = NewtonConfig {
line_search: true,
..Default::default()
};
// Should complete without panic
let result = solver.solve(&mut sys);
assert!(result.is_err());
}
#[test]
fn test_solver_does_not_panic_with_numerical_jacobian() {
let mut sys = System::new();
sys.finalize().unwrap();
let mut solver = NewtonConfig {
use_numerical_jacobian: true,
..Default::default()
};
// Should complete without panic
let result = solver.solve(&mut sys);
assert!(result.is_err());
}
// ─────────────────────────────────────────────────────────────────────────────
// AC #6: ConvergedState
// ─────────────────────────────────────────────────────────────────────────────
#[test]
fn test_converged_state_is_converged() {
use entropyk_solver::ConvergedState;
use entropyk_solver::ConvergenceStatus;
let state = ConvergedState::new(vec![1.0, 2.0, 3.0], 10, 1e-8, ConvergenceStatus::Converged, entropyk_solver::SimulationMetadata::new("".to_string()));
assert!(state.is_converged());
assert_eq!(state.iterations, 10);
assert_eq!(state.state, vec![1.0, 2.0, 3.0]);
}
#[test]
fn test_converged_state_timed_out() {
use entropyk_solver::ConvergedState;
use entropyk_solver::ConvergenceStatus;
let state = ConvergedState::new(
vec![1.0],
50,
1e-3,
ConvergenceStatus::TimedOutWithBestState,
entropyk_solver::SimulationMetadata::new("".to_string()),
);
assert!(!state.is_converged());
}