346 lines
9.3 KiB
Rust
346 lines
9.3 KiB
Rust
use matrixcompare::assert_matrix_eq;
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use nalgebra::dmatrix;
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use nalgebra::Complex;
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use nalgebra_sparse::io::load_coo_from_matrix_market_str;
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use nalgebra_sparse::CooMatrix;
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_real_general_empty() {
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// Test several valid zero-shapes of a sparse matrix
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let shapes = vec![ (0, 0), (1, 0), (0, 1) ];
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let strings: Vec<String> = shapes
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.iter()
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.map(|(m, n)| format!("%%MatrixMarket matrix coordinate real general\n {} {} 0", m, n))
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.collect();
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for (shape,string) in shapes.iter().zip(strings.iter()) {
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let sparse_mat = load_coo_from_matrix_market_str::<f32>(string).unwrap();
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assert_eq!(sparse_mat.nrows(), shape.0);
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assert_eq!(sparse_mat.ncols(), shape.1);
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assert_eq!(sparse_mat.nnz(), 0);
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}
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_real_general_empty() {
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// Test several valid zero-shapes of a dense matrix
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let shapes = vec![ (0, 0), (1, 0), (0, 1) ];
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let strings: Vec<String> = shapes
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.iter()
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.map(|(m, n)| format!("%%MatrixMarket matrix array real general\n {} {}", m, n))
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.collect();
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for (shape,string) in shapes.iter().zip(strings.iter()) {
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let sparse_mat = load_coo_from_matrix_market_str::<f32>(string).unwrap();
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assert_eq!(sparse_mat.nrows(), shape.0);
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assert_eq!(sparse_mat.ncols(), shape.1);
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assert_eq!(sparse_mat.nnz(), 0);
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}
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_real_general() {
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let file_str = r#"
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%%MatrixMarket matrix CoOrdinate real general
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% This is also an example of free-format features.
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%=================================================================================
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%
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% This ASCII file represents a sparse MxN matrix with L
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% nonzeros in the following Matrix Market format:
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%
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% +----------------------------------------------+
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% |%%MatrixMarket matrix coordinate real general | <--- header line
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% |% | <--+
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% |% comments | |-- 0 or more comment lines
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% |% | <--+
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% | M T L | <--- rows, columns, entries
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% | I1 J1 A(I1, J1) | <--+
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% | I2 J2 A(I2, J2) | |
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% | I3 J3 A(I3, J3) | |-- L lines
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% | . . . | |
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% | IL JL A(IL, JL) | <--+
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% +----------------------------------------------+
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%
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% Indices are 1-based, i.e. A(1,1) is the first element.
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%
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%=================================================================================
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5 5 8
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1 1 1
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2 2 1.050e+01
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3 3 1.500e-02
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1 4 6.000e+00
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4 2 2.505e+02
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4 4 -2.800e+02
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4 5 3.332e+01
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5 5 1.200e+01
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<f32>(file_str).unwrap();
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let expected = dmatrix![
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1.0, 0.0, 0.0, 6.0, 0.0;
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0.0, 10.5, 0.0, 0.0, 0.0;
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0.0, 0.0, 0.015, 0.0, 0.0;
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0.0, 250.5, 0.0, -280.0, 33.32;
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0.0, 0.0, 0.0, 0.0, 12.0;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_int_symmetric() {
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let file_str = r#"
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%%MatrixMarket matrix coordinate integer symmetric
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%
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5 5 9
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1 1 11
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2 2 22
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3 2 23
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3 3 33
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4 2 24
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4 4 44
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5 1 -15
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5 3 35
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5 5 55
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<i128>(file_str).unwrap();
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let expected = dmatrix![
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11, 0, 0, 0, -15;
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0, 22, 23, 24, 0;
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0, 23, 33, 0, 35;
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0, 24, 0, 44, 0;
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-15, 0, 35, 0, 55;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_complex_hermitian() {
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let file_str = r#"
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%%MatrixMarket matrix coordinate complex hermitian
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%
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5 5 7
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1 1 1.0 0.0
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2 2 10.5 0.0
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4 2 250.5 22.22
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3 3 0.015 0.0
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4 4 -2.8e2 0.0
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5 5 12.0 0.0
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5 4 0.0 33.32
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<Complex<f64>>(file_str).unwrap();
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let expected = dmatrix![
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Complex::<f64>{re:1.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0},Complex::<f64>{re:0.0,im:0.0};
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Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:10.5,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:250.5,im:-22.22},Complex::<f64>{re:0.0,im:0.0};
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Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.015,im:0.0}, Complex::<f64>{re:0.0,im:0.0},Complex::<f64>{re:0.0,im:0.0};
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Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:250.5,im:22.22}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:-280.0,im:0.0},Complex::<f64>{re:0.0,im:-33.32};
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Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:0.0}, Complex::<f64>{re:0.0,im:33.32},Complex::<f64>{re:12.0,im:0.0};
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_real_skew() {
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let file_str = r#"
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%%MatrixMarket matrix coordinate real skew-symmetric
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%
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5 5 4
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3 2 -23.0
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4 2 -24.0
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5 1 -15.0
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5 3 -35.0
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<f64>(file_str).unwrap();
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let expected = dmatrix![
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0.0, 0.0, 0.0, 0.0, 15.0;
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0.0, 0.0, 23.0, 24.0, 0.0;
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0.0, -23.0, 0.0, 0.0, 35.0;
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0.0, -24.0, 0.0, 0.0, 0.0;
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-15.0, 0.0, -35.0, 0.0, 0.0;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_sparse_pattern_general() {
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let file_str = r#"
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%%MatrixMarket matrix coordinate pattern general
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%
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5 5 10
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1 1
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1 5
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2 3
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2 4
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3 2
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3 5
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4 1
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5 2
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5 4
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5 5
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"#;
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let pattern_matrix = load_coo_from_matrix_market_str::<()>(file_str).unwrap();
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let nrows = pattern_matrix.nrows();
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let ncols = pattern_matrix.ncols();
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let (row_idx, col_idx, val) = pattern_matrix.disassemble();
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let values = vec![1; val.len()];
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let sparse_mat = CooMatrix::try_from_triplets(nrows, ncols, row_idx, col_idx, values).unwrap();
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let expected = dmatrix![
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1, 0, 0, 0, 1;
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0, 0, 1, 1, 0;
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0, 1, 0, 0, 1;
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1, 0, 0, 0, 0;
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0, 1, 0, 1, 1;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_real_general() {
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let file_str = r#"
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%%MatrixMarket matrix array real general
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%
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4 3
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1.0
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2.0
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3.0
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4.0
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5.0
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6.0
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7.0
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8.0
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9.0
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10.0
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11.0
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12.0
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<f32>(file_str).unwrap();
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let expected = dmatrix![
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1.0, 5.0, 9.0;
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2.0, 6.0, 10.0;
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3.0, 7.0, 11.0;
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4.0, 8.0, 12.0;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_real_symmetric() {
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let file_str = r#"
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%%MatrixMarket matrix array real symmetric
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%
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4 4
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1.0
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2.0
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3.0
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4.0
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5.0
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6.0
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7.0
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8.0
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9.0
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10.0
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<f32>(file_str).unwrap();
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let expected = dmatrix![
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1.0, 2.0, 3.0, 4.0;
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2.0, 5.0, 6.0, 7.0;
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3.0, 6.0, 8.0, 9.0;
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4.0, 7.0, 9.0, 10.0;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_complex_hermitian() {
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let file_str = r#"
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%%MatrixMarket matrix array complex hermitian
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%
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4 4
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1.0 0.0
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2.0 2.0
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3.0 3.0
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4.0 4.0
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5.0 0.0
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6.0 6.0
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7.0 7.0
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8.0 0.0
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9.0 9.0
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10.0 0.0
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<Complex<f64>>(file_str).unwrap();
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let expected = dmatrix![
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Complex::<f64>{re:1.0,im:0.0}, Complex::<f64>{re:2.0,im:-2.0} ,Complex::<f64>{re:3.0,im:-3.0} ,Complex::<f64>{re:4.0,im:-4.0};
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Complex::<f64>{re:2.0,im:2.0}, Complex::<f64>{re:5.0,im:0.0} ,Complex::<f64>{re:6.0,im:-6.0} ,Complex::<f64>{re:7.0,im:-7.0};
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Complex::<f64>{re:3.0,im:3.0}, Complex::<f64>{re:6.0,im:6.0} ,Complex::<f64>{re:8.0,im:0.0} ,Complex::<f64>{re:9.0,im:-9.0};
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Complex::<f64>{re:4.0,im:4.0}, Complex::<f64>{re:7.0,im:7.0} ,Complex::<f64>{re:9.0,im:9.0} ,Complex::<f64>{re:10.0,im:0.0};
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_int_skew() {
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let file_str = r#"
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%%MatrixMarket matrix array integer skew-symmetric
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%
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4 4
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1
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2
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3
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4
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5
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6
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<i32>(file_str).unwrap();
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let expected = dmatrix![
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0,-1,-2,-3;
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1, 0,-4,-5;
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2, 4, 0,-6;
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3, 5, 6, 0;
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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#[test]
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#[rustfmt::skip]
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fn test_matrixmarket_dense_complex_general() {
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let file_str = r#"
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%%MatrixMarket matrix array complex general
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%
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2 2
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1 0
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1 0
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1 0
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1 0
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"#;
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let sparse_mat = load_coo_from_matrix_market_str::<Complex<f32>>(file_str).unwrap();
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let expected = dmatrix![
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Complex::<f32>{re:1.0,im:0.0},Complex::<f32>{re:1.0,im:0.0};
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Complex::<f32>{re:1.0,im:0.0},Complex::<f32>{re:1.0,im:0.0};
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];
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assert_matrix_eq!(sparse_mat, expected);
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}
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