update loading matrix market, including:
1. Several renamings 2. removed unnecessary traits 3. added support for dense matrix 4. removed unnecessary comparison when reading data line by line. (e.g. only read header line once)
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7f9128c92d
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332fe8c0e4
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@ -1,9 +1,8 @@
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WHITESPACE = _{ " " }
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WHITESPACE = _{ " "|"\t" }
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//
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// dense matrix(array) not supported here
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Sparsity = {^"coordinate"}
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Sparsity = {^"coordinate" | ^"array"}
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DataType = {^"real" | ^"complex" | ^"pattern" | ^"integer" }
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StorageScheme = {^"symmetric" | ^"general" | ^"skew-symmetric" | ^"hermitian"}
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// Only consider matrices here.
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@ -16,7 +15,9 @@ Comments = _{ "%" ~ (!NEWLINE ~ ANY)* }
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//
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Dimension = @{ ASCII_DIGIT+ }
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Shape = { Dimension ~ Dimension ~ Dimension }
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SparseShape = { Dimension ~ Dimension ~ Dimension}
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DenseShape = { Dimension ~ Dimension}
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Shape = {SparseShape | DenseShape }
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//
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@ -25,14 +26,21 @@ Shape = { Dimension ~ Dimension ~ Dimension }
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Sign = {("+" | "-")}
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Exp = @{ ^"e" ~ Sign? ~ ASCII_DIGIT+}
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Number = @{ ((ASCII_DIGIT+ ~ "." ~ ASCII_DIGIT*) | (ASCII_DIGIT* ~ "." ~ASCII_DIGIT+) | ASCII_DIGIT+ ) ~ Exp? }
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Value = @{ Sign? ~ ("inf" | "NaN" | Number) }
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Real = @{ Sign? ~ ("inf" | "NaN" | Number) }
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// zero value: pattern
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// one Value: real or int number
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// two values: complex number
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Entry = { Dimension ~ Dimension ~ Value? ~ Value? }
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//
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SparseReal = {Dimension~ Dimension~ Real }
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SparseComplex = {Dimension ~ Dimension ~ Real ~ Real}
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SparsePattern = {Dimension ~ Dimension}
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DenseReal = {Real}
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DenseComplex = {Real ~ Real}
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Entry = { SparseComplex | SparseReal | SparsePattern | DenseComplex | DenseReal }
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// end of file, a silent way, see https://github.com/pest-parser/pest/issues/304#issuecomment-427198507
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eoi = _{ !ANY }
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Document = {
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SOI ~
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@ -40,5 +48,6 @@ Document = {
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Header ~
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(NEWLINE ~ Comments)* ~
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(NEWLINE ~ Shape) ~
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(NEWLINE ~ Entry?)*
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(NEWLINE ~ Entry?)* ~
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eoi
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}
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File diff suppressed because it is too large
Load Diff
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@ -1,8 +1,10 @@
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//! Parsers for various matrix formats.
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//!
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//! Use mm(or MM) to represent matrix market.
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//! ## Matrix Market
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//! See the [website](https://math.nist.gov/MatrixMarket/formats.html) or the [paper](https://www.researchgate.net/publication/2630533_The_Matrix_Market_Exchange_Formats_Initial_Design) for more details about matrix market.
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pub use self::matrix_market::{
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load_coo_from_mm_file, load_coo_from_mm_str, MMError, MMErrorKind, MMType,
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load_coo_from_matrix_market_file, load_coo_from_matrix_market_str, MatrixMarketError,
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MatrixMarketErrorKind, MatrixMarketScalar,
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};
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mod matrix_market;
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@ -1,12 +1,12 @@
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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_mm_str;
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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_mm_sparse_real_general() {
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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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@ -33,15 +33,26 @@ fn test_mm_sparse_real_general() {
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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_mm_str::<f32>(file_str).unwrap();
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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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@ -54,7 +65,7 @@ fn test_mm_sparse_real_general() {
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#[test]
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#[rustfmt::skip]
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fn test_mm_sparse_int_symmetric() {
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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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@ -69,7 +80,7 @@ fn test_mm_sparse_int_symmetric() {
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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_mm_str::<i32>(file_str).unwrap();
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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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@ -82,7 +93,7 @@ fn test_mm_sparse_int_symmetric() {
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#[test]
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#[rustfmt::skip]
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fn test_mm_sparse_complex_hermitian() {
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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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@ -96,7 +107,7 @@ fn test_mm_sparse_complex_hermitian() {
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5 4 0.0 33.32
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"#;
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let sparse_mat = load_coo_from_mm_str::<Complex<f64>>(file_str).unwrap();
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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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@ -109,7 +120,7 @@ fn test_mm_sparse_complex_hermitian() {
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#[test]
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#[rustfmt::skip]
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fn test_mm_sparse_real_skew() {
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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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@ -119,7 +130,7 @@ fn test_mm_sparse_real_skew() {
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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_mm_str::<f64>(file_str).unwrap();
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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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@ -132,7 +143,7 @@ fn test_mm_sparse_real_skew() {
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#[test]
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#[rustfmt::skip]
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fn test_mm_sparse_pattern_general() {
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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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@ -148,7 +159,7 @@ fn test_mm_sparse_pattern_general() {
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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_mm_str::<()>(file_str).unwrap();
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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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@ -163,3 +174,136 @@ fn test_mm_sparse_pattern_general() {
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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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