forked from M-Labs/nalgebra
Add methods to set a row or a column of the matrix.
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@ -8,6 +8,8 @@ This project adheres to [Semantic Versioning](http://semver.org/).
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### Added
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### Added
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* `.kronecker(a, b)` computes the kronecker product (i.e. matrix tensor
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* `.kronecker(a, b)` computes the kronecker product (i.e. matrix tensor
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product) of two matrices.
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product) of two matrices.
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* `.set_row(i, row)` sets the i-th row of the matrix.
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* `.set_column(j, column)` sets the i-th column of the matrix.
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## [0.12.0]
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## [0.12.0]
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2
Makefile
2
Makefile
@ -8,4 +8,4 @@ bench:
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cargo bench
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cargo bench
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test:
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test:
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CARGO_INCREMENTAL=1 cargo test --features "arbitrary serde-serialize"
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cargo test --features "arbitrary serde-serialize"
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@ -31,6 +31,9 @@ pub type ColumnVector<N, D, S> = Matrix<N, D, U1, S>;
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/// An owned matrix with one column and `D` rows.
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/// An owned matrix with one column and `D` rows.
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pub type OwnedColumnVector<N, D, A> = OwnedMatrix<N, D, U1, A>;
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pub type OwnedColumnVector<N, D, A> = OwnedMatrix<N, D, U1, A>;
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/// A matrix with one row and `D` columns.
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pub type RowVector<N, D, S> = Matrix<N, U1, D, S>;
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/// An owned matrix with one row and `D` columns.
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/// An owned matrix with one row and `D` columns.
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pub type OwnedRowVector<N, D, A> = OwnedMatrix<N, U1, D, A>;
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pub type OwnedRowVector<N, D, A> = OwnedMatrix<N, U1, D, A>;
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@ -301,6 +304,24 @@ impl<N: Scalar, R: Dim, C: Dim, S: StorageMut<N, R, C>> Matrix<N, R, C, S> {
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*e = value
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*e = value
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}
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}
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}
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}
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/// Fills the selected row of this matrix with the content of the given vector.
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#[inline]
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pub fn set_row<C2: Dim, S2>(&mut self, i: usize, row: &RowVector<N, C2, S2>)
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where S2: Storage<N, U1, C2>,
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S::Alloc: Allocator<N, U1, C>,
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ShapeConstraint: SameNumberOfColumns<C, C2> {
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self.row_mut(i).copy_from(row);
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}
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/// Fills the selected column of this matrix with the content of the given vector.
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#[inline]
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pub fn set_column<R2: Dim, S2>(&mut self, i: usize, column: &ColumnVector<N, R2, S2>)
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where S2: Storage<N, R2, U1>,
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S::Alloc: Allocator<N, R, U1>,
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ShapeConstraint: SameNumberOfRows<R, R2> {
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self.column_mut(i).copy_from(column);
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}
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}
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}
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impl<N: Scalar, R: Dim, C: Dim, S: OwnedStorage<N, R, C>> Matrix<N, R, C, S>
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impl<N: Scalar, R: Dim, C: Dim, S: OwnedStorage<N, R, C>> Matrix<N, R, C, S>
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@ -15,7 +15,7 @@ use alga::linear::FiniteDimInnerSpace;
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use na::{U8, U15,
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use na::{U8, U15,
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DVector, DMatrix,
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DVector, DMatrix,
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Vector1, Vector2, Vector3, Vector4, Vector5, Vector6,
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Vector1, Vector2, Vector3, Vector4, Vector5, Vector6,
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RowVector4,
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RowVector4, RowVector5,
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Matrix1, Matrix2, Matrix3, Matrix4, Matrix5, Matrix6,
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Matrix1, Matrix2, Matrix3, Matrix4, Matrix5, Matrix6,
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MatrixNM, Matrix2x3, Matrix3x2, Matrix3x4, Matrix4x3, Matrix2x4, Matrix4x5, Matrix4x6};
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MatrixNM, Matrix2x3, Matrix3x2, Matrix3x4, Matrix4x3, Matrix2x4, Matrix4x5, Matrix4x6};
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@ -475,6 +475,38 @@ fn kronecker() {
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assert_eq!(a.kronecker(&b), expected);
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assert_eq!(a.kronecker(&b), expected);
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}
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}
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#[test]
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fn set_row_column() {
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let a = Matrix4x5::new(
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11, 12, 13, 14, 15,
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21, 22, 23, 24, 25,
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31, 32, 33, 34, 35,
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41, 42, 43, 44, 45);
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let expected1 = Matrix4x5::new(
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11, 12, 13, 14, 15,
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42, 43, 44, 45, 46,
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31, 32, 33, 34, 35,
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41, 42, 43, 44, 45);
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let expected2 = Matrix4x5::new(
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11, 12, 100, 14, 15,
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42, 43, 101, 45, 46,
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31, 32, 102, 34, 35,
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41, 42, 103, 44, 45);
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let row = RowVector5::new(42, 43, 44, 45, 46);
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let col = Vector4::new(100, 101, 102, 103);
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let mut computed = a;
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computed.set_row(1, &row);
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assert_eq!(expected1, computed);
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computed.set_column(2, &col);
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assert_eq!(expected2, computed);
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}
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#[cfg(feature = "arbitrary")]
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#[cfg(feature = "arbitrary")]
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quickcheck!{
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quickcheck!{
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/*
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/*
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