forked from M-Labs/nalgebra
Implement matrixcompare traits for sparse matrices
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@ -6,6 +6,7 @@ edition = "2018"
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[features]
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proptest-support = ["proptest", "nalgebra/proptest"]
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compare = [ "matrixcompare-core" ]
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# Enable to enable running some tests that take a lot of time to run
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slow-tests = []
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@ -14,6 +15,7 @@ slow-tests = []
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nalgebra = { version="0.23", path = "../" }
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num-traits = { version = "0.2", default-features = false }
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proptest = { version = "0.10", optional = true }
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matrixcompare-core = { version = "0.1.0", optional = true }
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[dev-dependencies]
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itertools = "0.9"
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@ -76,6 +76,7 @@
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//! - Overall design ("easy API" vs. "expert" API etc.)
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//! - Conversions (From, explicit "expert" API etc.)
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//! - Matrix ops design
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//! - Proptest and matrixcompare integrations
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#![deny(non_camel_case_types)]
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#![deny(unused_parens)]
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#![deny(non_upper_case_globals)]
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@ -96,6 +97,9 @@ pub(crate) mod cs;
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#[cfg(feature = "proptest-support")]
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pub mod proptest;
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#[cfg(feature = "compare")]
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mod matrixcompare;
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use std::error::Error;
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use std::fmt;
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use num_traits::Zero;
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61
nalgebra-sparse/src/matrixcompare.rs
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61
nalgebra-sparse/src/matrixcompare.rs
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@ -0,0 +1,61 @@
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//! Implements core traits for use with `matrixcompare`.
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use crate::csr::CsrMatrix;
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use crate::csc::CscMatrix;
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use matrixcompare_core;
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use matrixcompare_core::{Access, SparseAccess};
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use crate::coo::CooMatrix;
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macro_rules! impl_matrix_for_csr_csc {
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($MatrixType:ident) => {
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impl<T: Clone> SparseAccess<T> for $MatrixType<T> {
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fn nnz(&self) -> usize {
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$MatrixType::nnz(self)
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}
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fn fetch_triplets(&self) -> Vec<(usize, usize, T)> {
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self.triplet_iter().map(|(i, j, v)| (i, j, v.clone())).collect()
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}
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}
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impl<T: Clone> matrixcompare_core::Matrix<T> for $MatrixType<T> {
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fn rows(&self) -> usize {
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self.nrows()
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}
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fn cols(&self) -> usize {
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self.ncols()
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}
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fn access(&self) -> Access<T> {
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Access::Sparse(self)
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}
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}
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}
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}
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impl_matrix_for_csr_csc!(CsrMatrix);
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impl_matrix_for_csr_csc!(CscMatrix);
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impl<T: Clone> SparseAccess<T> for CooMatrix<T> {
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fn nnz(&self) -> usize {
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CooMatrix::nnz(self)
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}
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fn fetch_triplets(&self) -> Vec<(usize, usize, T)> {
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self.triplet_iter().map(|(i, j, v)| (i, j, v.clone())).collect()
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}
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}
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impl<T: Clone> matrixcompare_core::Matrix<T> for CooMatrix<T> {
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fn rows(&self) -> usize {
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self.nrows()
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}
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fn cols(&self) -> usize {
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self.ncols()
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}
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fn access(&self) -> Access<T> {
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Access::Sparse(self)
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}
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}
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