Matrix market: Extend and reword documentation, rename some types

This commit is contained in:
Andreas Longva 2021-12-01 11:07:13 +01:00
parent 920bd75b82
commit 3b67afcd9b
2 changed files with 155 additions and 92 deletions

View File

@ -27,11 +27,12 @@ pub struct MatrixMarketError {
}
/// Errors produced by functions that expect well-formed matrix market format data.
/// > _NOTE:_ Since the matrix market design didn't mention if multiple sparse entries with the same coordiantes are allowed or not, so, it's allowed here.
#[non_exhaustive]
#[derive(Copy, Clone, Debug, PartialEq)]
pub enum MatrixMarketErrorKind {
/// Indicates that some word is not known to MM format
/// Parsing failure.
///
/// Indicates that the parser failed, for example due to an unexpected string.
///
/// Examples
/// --------
@ -39,17 +40,17 @@ pub enum MatrixMarketErrorKind {
/// # use nalgebra_sparse::io::load_coo_from_matrix_market_str;
/// # use nalgebra_sparse::io::MatrixMarketErrorKind;
/// let str = r#"
/// %%MatrixMarket whatever whatever whatever whatever
/// %%MatrixMarket invalid invalid invalid invalid
/// 1 1 1
/// 1 1 5
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::ParsingError);
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(), MatrixMarketErrorKind::ParsingError);
/// ```
ParsingError,
/// Indicates that header is not valid
/// Indicates that the matrix market header is invalid.
///
/// Examples
/// --------
@ -62,13 +63,13 @@ pub enum MatrixMarketErrorKind {
/// 1 1 1
/// 1 1 5
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::InvalidHeader);
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::InvalidHeader);
/// ```
InvalidHeader,
/// Indicates that the data entries in .mtx file are more or less than entries specified in .mtx file
/// Indicates that the number of data entries in the matrix market file does not match the header.
///
/// Examples
/// --------
@ -82,13 +83,14 @@ pub enum MatrixMarketErrorKind {
/// 2 2 2
/// 2 3 2
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::EntryNumUnmatched);
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::EntryMismatch);
/// ```
EntryNumUnmatched,
EntryMismatch,
/// Indicates that the type T is not matched with the function it called.
/// Indicates that the scalar type requested is not compatible with the scalar type stored
/// in the matrix market file.
///
/// Examples
/// --------
@ -97,18 +99,20 @@ pub enum MatrixMarketErrorKind {
/// # use nalgebra_sparse::io::MatrixMarketErrorKind;
/// let str = r#"
/// %%matrixmarket matrix coordinate real general
/// % it should be called by load_coo_from_matrix_market_str::<f64>(str), or f32;
/// % it should be loaded with load_coo_from_matrix_market_str::<f64>(str) (or f32)
/// 3 3 2
/// 2 2 2.22
/// 2 3 2.22
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::TypeUnmatched);
/// let matrix_result = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::TypeMismatch);
/// ```
TypeUnmatched,
TypeMismatch,
/// Indicates that zero has been used as an index in the data, or the shape of the matrix, which is not allowed.
/// Indicates that zero has been used as an index in the data.
///
/// **Note**: The matrix market format uses 1-based indexing.
///
/// Examples
/// --------
@ -120,13 +124,14 @@ pub enum MatrixMarketErrorKind {
/// 1 1 1
/// 0 0 10
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::ZeroError);
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::ZeroError);
/// ```
ZeroError,
/// Indicates [SparseFormatError], while creating the sparse matrix.
/// Indicates [SparseFormatError] while creating the sparse matrix.
///
///
/// Examples
/// --------
@ -139,13 +144,14 @@ pub enum MatrixMarketErrorKind {
/// 1 1 1
/// 4 2 10
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::SparseFormatError(SparseFormatErrorKind::IndexOutOfBounds));
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),
/// MatrixMarketErrorKind::SparseFormatError(SparseFormatErrorKind::IndexOutOfBounds));
/// ```
SparseFormatError(SparseFormatErrorKind),
/// Indicates that a wrong diagonal element has been provieded to the matrix
/// Indicates that a wrong diagonal element has been provided to the matrix.
///
/// Examples
/// --------
@ -160,9 +166,9 @@ pub enum MatrixMarketErrorKind {
/// 1 1 10
/// 2 1 5
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::DiagonalError);
/// let matrix_result = load_coo_from_matrix_market_str::<f64>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::DiagonalError);
///
/// let str = r#"
/// %%matrixmarket matrix coordinate complex hermitian
@ -171,28 +177,27 @@ pub enum MatrixMarketErrorKind {
/// 1 1 10 2
/// 2 1 5 2
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<Complex<f64>>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::DiagonalError);
/// let matrix_result = load_coo_from_matrix_market_str::<Complex<f64>>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::DiagonalError);
/// ```
/// Here the skew matrix shouldn't have an element on the diagonal
/// Here the skew matrix shouldn't have an element on the diagonal.
DiagonalError,
/// Indicates [io error](`std::io::Error`), while reading the data from file.
/// Indicates an [IO error](`std::io::Error`) while reading the data from file.
///
/// Examples
/// --------
/// ```rust
/// # use nalgebra_sparse::io::load_coo_from_matrix_market_file;
/// # use nalgebra_sparse::io::MatrixMarketErrorKind;
/// let file_name = "whatever.mtx";
/// let matrix_error = load_coo_from_matrix_market_file::<f64,_>(file_name);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::IOError(std::io::ErrorKind::NotFound));
/// let matrix_result = load_coo_from_matrix_market_file::<f64,_>("matrix.mtx");
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::IOError(std::io::ErrorKind::NotFound));
/// ```
IOError(std::io::ErrorKind),
/// Indicates (skew-)symmetric (or hermitian) matrix is not lower triangle matrix.
/// Indicates that a (skew-)symmetric (or hermitian) matrix is not a lower triangular matrix.
///
/// Examples
/// --------
@ -205,13 +210,13 @@ pub enum MatrixMarketErrorKind {
/// 1 1 10
/// 2 3 5
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::NotLowerTriangle);
/// let matrix_result = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::NotLowerTriangle);
/// ```
NotLowerTriangle,
/// Indicates (skew-)symmetric (or hermitian) matrix is not square matrix.
/// Indicates that a (skew-)symmetric (or hermitian) matrix is not a square matrix.
///
/// Examples
/// --------
@ -224,11 +229,11 @@ pub enum MatrixMarketErrorKind {
/// 1 1 10
/// 2 3 5
/// "#;
/// let matrix_error = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_error.is_err(), true);
/// assert_eq!(matrix_error.unwrap_err().kind(),MatrixMarketErrorKind::NotSquareMatrix);
/// let matrix_result = load_coo_from_matrix_market_str::<i32>(str);
/// assert_eq!(matrix_result.is_err(), true);
/// assert_eq!(matrix_result.unwrap_err().kind(),MatrixMarketErrorKind::NonSquare);
/// ```
NotSquareMatrix,
NonSquare,
}
impl MatrixMarketError {
@ -239,7 +244,7 @@ impl MatrixMarketError {
}
}
/// The operation error kind.
/// The matrix market error kind.
#[must_use]
pub fn kind(&self) -> MatrixMarketErrorKind {
self.error_kind
@ -254,7 +259,7 @@ impl MatrixMarketError {
impl fmt::Display for MatrixMarketError {
fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
write!(f, "Matrix Market load error: ")?;
write!(f, "Matrix Market error: ")?;
match self.kind() {
MatrixMarketErrorKind::ParsingError => {
write!(f, "ParsingError,")?;
@ -262,11 +267,11 @@ impl fmt::Display for MatrixMarketError {
MatrixMarketErrorKind::InvalidHeader => {
write!(f, "InvalidHeader,")?;
}
MatrixMarketErrorKind::EntryNumUnmatched => {
MatrixMarketErrorKind::EntryMismatch => {
write!(f, "EntryNumUnmatched,")?;
}
MatrixMarketErrorKind::TypeUnmatched => {
write!(f, "TypeUnmatched,")?;
MatrixMarketErrorKind::TypeMismatch => {
write!(f, "TypeMismatch,")?;
}
MatrixMarketErrorKind::SparseFormatError(_) => {
write!(f, "SparseFormatError,")?;
@ -283,11 +288,11 @@ impl fmt::Display for MatrixMarketError {
MatrixMarketErrorKind::NotLowerTriangle => {
write!(f, "NotLowerTriangle,")?;
}
MatrixMarketErrorKind::NotSquareMatrix => {
MatrixMarketErrorKind::NonSquare => {
write!(f, "NotSquareMatrix,")?;
}
}
write!(f, " Message: {}", self.message)
write!(f, " message: {}", self.message)
}
}
@ -334,9 +339,9 @@ impl From<std::io::Error> for MatrixMarketError {
impl From<TryFromIntError> for MatrixMarketError {
fn from(err: TryFromIntError) -> Self {
Self::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!(
"Please consider using a larger integery type. Error message: {}",
"Please consider using a larger integer type. Error message: {}",
&err
),
)
@ -348,7 +353,7 @@ impl From<TryFromIntError> for MatrixMarketError {
impl From<Infallible> for MatrixMarketError {
fn from(_err: Infallible) -> Self {
Self::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("This won't happen"),
)
}
@ -479,9 +484,9 @@ fn typecode_precheck(tc: &Typecode) -> Result<(), MatrixMarketError> {
}
}
/// Base trait for matrix market types.
/// Scalar types supported by the matrix market parser.
pub trait MatrixMarketScalar: Scalar {
/// When matrix is an Integer matrix, it will convert a [i128] number to this type.
/// When the matrix is an integer matrix, it will convert a [i128] number to this type.
fn from_i128(i: i128) -> Result<Self, MatrixMarketError>;
/// When matrix is a Real matrix, it will convert a [f64] number to this type.
fn from_f64(f: f64) -> Result<Self, MatrixMarketError>;
@ -494,6 +499,7 @@ pub trait MatrixMarketScalar: Scalar {
/// When matrix is a Hermitian matrix, it will convert itself to its conjugate.
fn conjugate(self) -> Result<Self, MatrixMarketError>;
}
/// Implement MatrixMarketScalar for primitive integer types.
macro_rules! mm_int_impl {
($T:ty) => {
@ -505,28 +511,28 @@ macro_rules! mm_int_impl {
#[inline]
fn from_f64(_f: f64) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Int type can't be parsed from f64"),
))
}
#[inline]
fn from_c64(_c: Complex<f64>) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Int type can't be parsed from Complex<f64>"),
))
}
#[inline]
fn from_pattern(_p: ()) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Int type can't be parsed from ()"),
))
}
#[inline]
fn conjugate(self) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Int type has no conjugate"),
))
}
@ -544,7 +550,7 @@ macro_rules! mm_real_impl {
#[inline]
fn from_i128(_i: i128) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("real type can't be parsed from i128"),
))
}
@ -555,21 +561,21 @@ macro_rules! mm_real_impl {
#[inline]
fn from_c64(_c: Complex<f64>) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("real type can't be parsed from Complex<f64>"),
))
}
#[inline]
fn from_pattern(_p: ()) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("real type can't be parsed from ()"),
))
}
#[inline]
fn conjugate(self) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("real type has no conjugate"),
))
}
@ -580,6 +586,7 @@ macro_rules! mm_real_impl {
}
};
}
/// Implement MatrixMarketScalar for primitive complex types.
macro_rules! mm_complex_impl {
($T:ty) => {
@ -587,14 +594,14 @@ macro_rules! mm_complex_impl {
#[inline]
fn from_i128(_i: i128) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Complex type can't be parsed from i128"),
))
}
#[inline]
fn from_f64(_f: f64) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Complex type can't be parsed from f64"),
))
}
@ -608,7 +615,7 @@ macro_rules! mm_complex_impl {
#[inline]
fn from_pattern(_p: ()) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Complex type can't be parsed from ()"),
))
}
@ -630,21 +637,21 @@ macro_rules! mm_pattern_impl {
#[inline]
fn from_i128(_i: i128) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Pattern type can't be parsed from i128"),
))
}
#[inline]
fn from_f64(_f: f64) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Pattern type can't be parsed from f64"),
))
}
#[inline]
fn from_c64(_c: Complex<f64>) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Pattern type can't be parsed from Complex<f64>"),
))
}
@ -656,14 +663,14 @@ macro_rules! mm_pattern_impl {
#[inline]
fn conjugate(self) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Pattern type has no conjugate"),
))
}
#[inline]
fn negative(self) -> Result<Self, MatrixMarketError> {
Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::TypeUnmatched,
MatrixMarketErrorKind::TypeMismatch,
format!("Pattern type has no negative"),
))
}
@ -687,16 +694,31 @@ mm_pattern_impl!(());
#[derive(Parser)]
#[grammar = "io/matrix_market.pest"]
struct MMParser;
struct MatrixMarketParser;
/// Parses a Matrix Market file at the given path, and returns the corresponding sparse matrix as CooMatrix format.
/// Parses a Matrix Market file at the given path as a `CooMatrix`.
///
/// The matrix market format specification does not clarify whether duplicate entries are allowed. Our importer
/// assumes that this is permitted and produces a `CooMatrix` with possibly duplicate entries.
///
/// **Note**: A current restriction of the importer is that you must use a compatible scalar type when importing.
/// For example, in order to import a matrix stored as `integer` in the matrix market format, you must
/// import it as an integer matrix, otherwise a [TypeMismatch](MatrixMarketErrorKind::TypeMismatch) error
/// will be returned. This restriction may be lifted in the future, and is
/// tracked by issue [#1038](https://github.com/dimforge/nalgebra/issues/1038).
///
/// Errors
/// --------
///
/// See [MatrixMarketErrorKind] for a list of possible error conditions.
///
/// > _NOTE:_ Here uses strong type requirements, which means if the matrix is an integer matrix, e.g. `%%matrixmarket matrix cooridnate integer general`, then you have to load it by `load_coo_from_matrix_market_file<T>`, where T is an integer type. Trying `load_coo_from_matrix_market_file<f64>` will give [TypeUnmatched](MatrixMarketErrorKind::TypeUnmatched) Error. After loading it, you can cast it into a `f64` matrix, by calling [cast](`nalgebra::base::Matrix::cast()`), but be aware of accuracy lose.
/// Examples
/// --------
/// ```
/// 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")?;
/// ```
pub fn load_coo_from_matrix_market_file<T, P: AsRef<Path>>(
path: P,
) -> Result<CooMatrix<T>, MatrixMarketError>
@ -707,21 +729,34 @@ where
load_coo_from_matrix_market_str(&file)
}
/// Parses a Matrix Market file described by the given string, and returns the corresponding as CooMatrix format.
/// Parses a Matrix Market file described by the given string as a `CooMatrix`.
///
/// See [load_coo_from_matrix_market_file] for more information.
///
/// Errors
/// --------
///
/// See [MatrixMarketErrorKind] for a list of possible error conditions.
///
/// > _NOTE:_ Here uses strong type requirements, which means if the matrix is an integer matrix, e.g. `%%matrixmarket matrix cooridnate integer general`, then you have to load it by `load_coo_from_matrix_market_str<T>`, where T is an integer type. Trying `load_coo_from_matrix_market_str<f64>` will give [TypeUnmatched](MatrixMarketErrorKind::TypeUnmatched) Error. After loading it, you can cast it into a `f64` matrix, by calling [cast](`nalgebra::base::Matrix::cast()`),but be aware of accuracy lose.
/// Examples
/// --------
/// ```
/// # use nalgebra_sparse::io::load_coo_from_matrix_market_str;
/// # use nalgebra_sparse::io::MatrixMarketErrorKind;
/// let str = r#"
/// %%matrixmarket matrix coordinate integer symmetric
/// 5 4 2
/// 1 1 10
/// 2 3 5
/// "#;
/// let matrix = load_coo_from_matrix_market_str::<i32>(str)?;
/// ```
pub fn load_coo_from_matrix_market_str<T>(data: &str) -> Result<CooMatrix<T>, MatrixMarketError>
where
T: MatrixMarketScalar,
{
// unwrap() in this function are guaranteed by parsing the data
let file = MMParser::parse(Rule::Document, data)?.next().unwrap();
let file = MatrixMarketParser::parse(Rule::Document, data)?.next().unwrap();
let mut rows: Vec<usize> = Vec::new();
let mut cols: Vec<usize> = Vec::new();
@ -755,7 +790,7 @@ where
let count = lines.clone().count();
if count != shape.2 {
return Err(MatrixMarketError::from_kind_and_message(
MatrixMarketErrorKind::EntryNumUnmatched,
MatrixMarketErrorKind::EntryMismatch,
format!(
"{} entries required for the matrix, but {} was provided",
shape.2, count,
@ -996,7 +1031,7 @@ fn parse_sparse_shape(
// check for square matirx, when it's not a general matrix
if *storagescheme != StorageScheme::General && r != c {
return Err(MatrixMarketError::from_kind_and_message(MatrixMarketErrorKind::NotSquareMatrix,format!("(Skew-)Symmetric or hermitian matrix should be square matrix, but it has dimension {} and {}",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)));
}
Ok((r, c, nnz))
@ -1032,7 +1067,7 @@ fn parse_dense_shape(
// check for square matirx, when it's not a general matrix
if *storagescheme != StorageScheme::General && r != c {
return Err(MatrixMarketError::from_kind_and_message(MatrixMarketErrorKind::NotSquareMatrix,format!("(Skew-)Symmetric or hermitian matrix should be square matrix, but it has dimension {} and {}",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)));
}
let n: usize;

View File

@ -1,7 +1,35 @@
//! Parsers for various matrix formats.
//! Functionality for importing and exporting sparse matrices to and from files.
//!
//! ## Matrix Market
//! 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.
//! **Available only when the `io` feature is enabled.**
//!
//! The following formats are currently supported:
//!
//! | Format | Import | Export |
//! | ------------------------------------------------|------------|------------|
//! | [Matrix market](#matrix-market-format) | Yes | No |
//!
//! [Matrix market]: https://math.nist.gov/MatrixMarket/formats.html
//!
//! ## Matrix Market format
//!
//! The Matrix Market format is a simple ASCII-based file format for sparse matrices, and was initially developed for
//! the [NIST Matrix Market](https://math.nist.gov/MatrixMarket/), a repository of example sparse matrices.
//! In later years it has largely been superseded by the
//! [SuiteSparse Matrix Collection](https://sparse.tamu.edu/) (formerly University of Florida Sparse Matrix Collection),
//! which also uses the Matrix Market file format.
//!
//! We currently offer functionality for importing a Matrix market file to an instance of a
//! [CooMatrix](crate::CooMatrix) through the function [load_coo_from_matrix_market_file]. It is also possible to load
//! a matrix stored in the matrix market format with the function [load_coo_from_matrix_market_str].
//!
//! Export is currently not implemented, but [planned](https://github.com/dimforge/nalgebra/issues/1037).
//!
//! Our implementation is based on the [format description](https://math.nist.gov/MatrixMarket/formats.html)
//! on the Matrix Market website and the
//! [following NIST whitepaper](https://math.nist.gov/MatrixMarket/reports/MMformat.ps):
//!
//! > Boisvert, Ronald F., Roldan Pozo, and Karin A. Remington.<br/>
//! > "*The Matrix Market Exchange Formats: Initial Design.*" (1996).
pub use self::matrix_market::{
load_coo_from_matrix_market_file, load_coo_from_matrix_market_str, MatrixMarketError,