code fmt; fix failing unit test and doc test

nalgebra-sparse/src/io/matrix_market.rs

@@ -300,7 +300,7 @@ impl std::error::Error for MatrixMarketError {}
 impl MatrixMarketError {
     fn from_pest_error<T>(error: pest::error::Error<T>) -> Self
     where
-        T: fmt::Debug + std::hash::Hash + std::marker::Copy + Ord
+        T: fmt::Debug + std::hash::Hash + std::marker::Copy + Ord,
     {
         Self::from_kind_and_message(
             MatrixMarketErrorKind::ParsingError,
@@ -739,8 +739,10 @@ struct MatrixMarketParser;
 /// --------
 /// ```
 /// use nalgebra_sparse::io::load_coo_from_matrix_market_file;
-/// // Use e.g. `f64` for floating-point matrices
-/// let matrix = load_coo_from_matrix_market_file::<i32>("path/to/matrix.mtx")?;
+/// // Use e.g. `i32` for integer matrices
+/// let matrix = load_coo_from_matrix_market_file::<i32,_>("path/to/matrix.mtx");
+/// // extract the real matrix here by
+/// // let matrix = matrix.unwrap();
 /// ```
 pub fn load_coo_from_matrix_market_file<T, P: AsRef<Path>>(
     path: P,
@@ -767,12 +769,15 @@ where
 /// # use nalgebra_sparse::io::load_coo_from_matrix_market_str;
 /// # use nalgebra_sparse::io::MatrixMarketErrorKind;
 /// let str = r#"
-/// %%matrixmarket matrix coordinate integer symmetric
+/// %%matrixmarket matrix coordinate integer general
 /// 5 4 2
 /// 1 1 10
 /// 2 3 5
 /// "#;
-/// let matrix = load_coo_from_matrix_market_str::<i32>(str)?;
+/// // Use e.g. `i32` for integer matrices
+/// let matrix = load_coo_from_matrix_market_str::<i32>(str);
+/// // extract the real matrix here by
+/// // let matrix = matrix.unwrap();
 /// ```
 pub fn load_coo_from_matrix_market_str<T>(data: &str) -> Result<CooMatrix<T>, MatrixMarketError>
 where
@@ -781,7 +786,8 @@ where
     // unwrap() in this function are guaranteed by parsing the data
     let file = MatrixMarketParser::parse(Rule::Document, data)
         .map_err(MatrixMarketError::from_pest_error)?
-        .next().unwrap();
+        .next()
+        .unwrap();
 
     let mut rows: Vec<usize> = Vec::new();
     let mut cols: Vec<usize> = Vec::new();
@@ -1042,18 +1048,6 @@ fn parse_sparse_shape(
     let c = inner.next().unwrap().as_str().parse::<usize>().unwrap();
     let nnz = inner.next().unwrap().as_str().parse::<usize>().unwrap();
 
-    // shape information can't use 0 as dimension
-    if r * c * nnz == 0 {
-        return Err(MatrixMarketError::from_kind_and_message(
-            MatrixMarketErrorKind::ZeroError,
-            String::from(
-                "
-        Matrix can't have 0 as shape dimensions.
-        ",
-            ),
-        ));
-    }
-
     // check for square matrix, when it's not a general matrix
     if *storagescheme != StorageScheme::General && r != c {
         return Err(MatrixMarketError::from_kind_and_message(MatrixMarketErrorKind::NonSquare, format!("(Skew-)Symmetric or hermitian matrix should be square matrix, but it has dimension {} and {}", r, c)));

nalgebra-sparse/tests/unit.rs

@@ -1,9 +1,5 @@
 //! Unit tests
-#[cfg(not(all(
-feature = "proptest-support",
-feature = "compare",
-feature = "io",
-)))]
+#[cfg(not(all(feature = "proptest-support", feature = "compare", feature = "io",)))]
 compile_error!(
     "Please enable the `proptest-support`, `compare` and `io` features in order to compile and run the tests.
      Example: `cargo test -p nalgebra-sparse --features proptest-support,compare,io`"

nalgebra-sparse/tests/unit_tests/matrix_market.rs

@@ -10,14 +10,14 @@ fn test_matrixmarket_sparse_real_general_empty() {
     // Test several valid zero-shapes of a matrix
     let shapes = vec![ (0, 0), (1, 0), (0, 1) ];
     let strings: Vec<String> = shapes
-        .into_iter()
+        .iter()
         .map(|(m, n)| format!("%%MatrixMarket matrix coordinate real general\n {} {} 0", m, n))
         .collect();
 
-    for string in &strings {
+    for (shape,string) in shapes.iter().zip(strings.iter()) {
         let sparse_mat = load_coo_from_matrix_market_str::<f32>(string).unwrap();
-        assert_eq!(sparse_mat.nrows(), 0);
-        assert_eq!(sparse_mat.ncols(), 0);
+        assert_eq!(sparse_mat.nrows(), shape.0);
+        assert_eq!(sparse_mat.ncols(), shape.1);
         assert_eq!(sparse_mat.nnz(), 0);
     }
 }