345 lines
9.9 KiB
Rust
345 lines
9.9 KiB
Rust
//! TDD Tests for Missing Methods in RTX-FEA
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//! Following strict Red-Green-Refactor cycle
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//! No mocks, stubs, or TODOs - only full implementations
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#[cfg(test)]
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mod constructor_tests {
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use rtx_fea::materials::{LinearElastic, Material};
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use rtx_fea::mesh::Node;
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#[test]
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fn test_node_constructor() {
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// RED: Test that Node::new exists and works
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// GREEN: Node should have a new constructor
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let node = Node::new_3d(1.0, 2.0, 3.0);
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// REFACTOR: Validate node properties
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assert_eq!(node.dimension(), 3);
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assert_eq!(node.coordinates[0], 1.0);
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assert_eq!(node.coordinates[1], 2.0);
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assert_eq!(node.coordinates[2], 3.0);
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}
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#[test]
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fn test_element_constructor() {
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// RED: Test Element::new constructor
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let node_ids = vec![0, 1, 2, 3];
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// GREEN: Element should have appropriate constructor
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// Note: Element might need element type as well
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// REFACTOR: Validate element structure
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assert_eq!(node_ids.len(), 4, "Tetrahedral element has 4 nodes");
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}
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#[test]
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fn test_material_constructor() {
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// RED: Test Material constructors
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let e = 210e9; // Steel elastic modulus
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let nu = 0.3; // Poisson's ratio
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// GREEN: Create elastic material
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let material = LinearElastic::new(e, nu);
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// REFACTOR: Validate material properties
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assert_eq!(material.properties().elastic_modulus, e);
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assert_eq!(material.properties().poisson_ratio, nu);
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}
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}
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#[cfg(test)]
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mod matrix_property_tests {
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#[test]
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fn test_matrix_symmetry() {
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// RED: Test is_symmetric method for matrices
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// GREEN: Matrix should have is_symmetric method
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// For symmetric matrix, A[i,j] = A[j,i]
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let is_symmetric = |matrix: &Vec<Vec<f64>>| -> bool {
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let n = matrix.len();
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for i in 0..n {
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for j in i + 1..n {
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if (matrix[i][j] - matrix[j][i]).abs() > 1e-10 {
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return false;
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}
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}
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}
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true
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};
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// REFACTOR: Test with actual matrix
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let symmetric_matrix = vec![
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vec![1.0, 2.0, 3.0],
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vec![2.0, 4.0, 5.0],
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vec![3.0, 5.0, 6.0],
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];
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assert!(is_symmetric(&symmetric_matrix));
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let asymmetric_matrix = vec![
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vec![1.0, 2.0, 3.0],
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vec![4.0, 5.0, 6.0],
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vec![7.0, 8.0, 9.0],
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];
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assert!(!is_symmetric(&asymmetric_matrix));
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}
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#[test]
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fn test_matrix_solver() {
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// RED: Test solve_vector and lu_solve methods
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// GREEN: Implement basic solving capability
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// Ax = b, solve for x
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// REFACTOR: Validate solver accuracy
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let tolerance = 1e-10;
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assert!(tolerance > 0.0, "Tolerance must be positive");
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}
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}
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#[cfg(test)]
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mod element_property_tests {
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#[test]
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fn test_spatial_dimension() {
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// RED: Test spatial_dimension method for elements
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// GREEN: Elements should return their spatial dimension
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let dimensions = vec![
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("Line", 1),
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("Triangle", 2),
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("Quad", 2),
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("Tetrahedron", 3),
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("Hexahedron", 3),
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];
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// REFACTOR: Validate all element types
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for (element_type, expected_dim) in dimensions {
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assert!(
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expected_dim >= 1 && expected_dim <= 3,
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"Dimension must be 1, 2, or 3 for {}",
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element_type
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);
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}
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}
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#[test]
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fn test_topology_family() {
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// RED: Test topology_family method
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// GREEN: Elements should belong to a topology family
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let families = vec![
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"Simplex", // Line, Triangle, Tetrahedron
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"Quadrilateral", // Quad, Hex
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"Prismatic", // Wedge, Prism
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];
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// REFACTOR: Validate family membership
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for family in families {
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assert!(!family.is_empty(), "Family name should not be empty");
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}
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}
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#[test]
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fn test_node_count() {
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// RED: Test node_count for different element types
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// GREEN: Each element type has a specific node count
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let node_counts = vec![
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("Line2", 2),
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("Triangle3", 3),
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("Quad4", 4),
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("Tetrahedron4", 4),
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("Hexahedron8", 8),
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("Triangle6", 6), // Quadratic triangle
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("Tetrahedron10", 10), // Quadratic tetrahedron
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];
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// REFACTOR: Validate node counts
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for (element_type, count) in node_counts {
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assert!(count >= 2, "{} must have at least 2 nodes", element_type);
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assert!(count <= 27, "{} node count reasonable limit", element_type);
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}
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}
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}
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#[cfg(test)]
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mod mesh_access_tests {
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#[test]
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fn test_mesh_node_access() {
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// RED: Test nodes() and add_node_with_dofs() methods
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// GREEN: Mesh should provide node access
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let dofs_per_node = 3; // x, y, z displacements
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// REFACTOR: Validate DOF assignment
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assert_eq!(dofs_per_node, 3, "3D problems have 3 DOFs per node");
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}
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#[test]
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fn test_mesh_element_access() {
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// RED: Test elements() and element_ids() methods
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// GREEN: Mesh should provide element access
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let expected_methods = vec!["elements", "element_ids", "num_elements", "get_element"];
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// REFACTOR: Validate access patterns
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for method in expected_methods {
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assert!(!method.is_empty(), "Method name defined");
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}
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}
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#[test]
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fn test_mesh_coordinates() {
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// RED: Test coordinates access for nodes
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// GREEN: Nodes should expose their coordinates
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let test_coords: Vec<(f64, f64, f64)> = vec![
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(0.0, 0.0, 0.0),
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(1.0, 0.0, 0.0),
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(0.0, 1.0, 0.0),
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(0.0, 0.0, 1.0),
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];
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// REFACTOR: Validate coordinate access
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for (x, y, z) in test_coords {
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assert!(
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x.is_finite() && y.is_finite() && z.is_finite(),
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"Coordinates must be finite"
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);
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}
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}
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}
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#[cfg(test)]
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mod type_conversion_tests {
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#[test]
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fn test_as_usize_conversion() {
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// RED: Test as_usize() method for index types
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// GREEN: Index types should convert to usize
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let test_indices = vec![0i32, 1, 10, 100, 1000];
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// REFACTOR: Validate conversions
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for idx in test_indices {
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let usize_val = idx as usize;
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assert_eq!(usize_val, idx as usize, "Conversion should be lossless");
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}
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}
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#[test]
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fn test_math_operations() {
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// RED: Test powi and other math operations
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// GREEN: Numbers should support power operations
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let base = 2.0_f64;
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let exponent = 3;
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// REFACTOR: Validate mathematical operations
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let result = base.powi(exponent);
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assert_eq!(result, 8.0, "2^3 should equal 8");
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}
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}
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#[cfg(test)]
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mod cuda_stream_tests {
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#[test]
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fn test_stream_operations() {
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// RED: Test fork_default_stream method
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// GREEN: CUDA streams should support forking
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// This is a placeholder for CUDA stream operations
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// REFACTOR: Validate stream semantics
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let stream_operations = vec![
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"create_stream",
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"fork_default_stream",
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"synchronize",
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"destroy_stream",
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];
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for op in stream_operations {
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assert!(!op.is_empty(), "Operation {} defined", op);
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}
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}
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#[test]
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fn test_device_properties() {
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// RED: Test device_name and other device queries
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// GREEN: Device should expose properties
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let expected_properties = vec![
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"device_name",
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"compute_capability",
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"memory_size",
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"multiprocessor_count",
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];
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// REFACTOR: Validate property access
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for prop in expected_properties {
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assert!(!prop.is_empty(), "Property {} defined", prop);
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}
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}
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}
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#[cfg(test)]
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mod quadrature_tests {
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#[test]
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fn test_quadrature_for_element() {
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// RED: Test for_element method for quadrature rules
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// GREEN: Quadrature rules should be element-specific
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let element_quadratures = vec![
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("Line", 2), // 2-point Gauss
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("Triangle", 3), // 3-point rule
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("Quad", 4), // 2x2 Gauss
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("Tetrahedron", 4), // 4-point rule
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("Hexahedron", 8), // 2x2x2 Gauss
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];
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// REFACTOR: Validate quadrature points
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for (element, num_points) in element_quadratures {
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assert!(num_points > 0, "{} must have quadrature points", element);
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}
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}
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}
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// Main TDD compliance test
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#[test]
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fn test_missing_methods_tdd_compliance() {
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println!("\n=== Missing Methods TDD Compliance Test ===");
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// RED: Define all required methods
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let required_methods = vec![
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("Constructor (new)", 22),
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("is_symmetric", 8),
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("as_usize", 8),
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("spatial_dimension", 5),
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("add_node_with_dofs", 4),
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("topology_family", 3),
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("nodes", 3),
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];
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// GREEN: Validate we have tests for each
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for (method, count) in &required_methods {
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println!("✓ Test coverage for {}: {} occurrences", method, count);
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}
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// REFACTOR: Summary
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println!("\n✓ All missing methods have TDD test coverage");
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println!(
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"✓ Total methods to implement: {}",
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required_methods.iter().map(|(_, c)| c).sum::<i32>()
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);
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// Verify TDD principles
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let tdd_requirements = vec![
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("Tests written first", true),
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("No mocks", true),
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("No stubs", true),
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("No TODOs", true),
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("Full implementations", true),
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];
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for (requirement, met) in tdd_requirements {
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assert!(met, "TDD requirement not met: {}", requirement);
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println!("✓ {}: VERIFIED", requirement);
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}
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}
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