Merge pull request #886 from Andlon/matrix-macro

Matrix macro

.github/workflows/nalgebra-ci-build.yml

@@ -69,6 +69,12 @@ jobs:
       - name: test nalgebra-sparse (slow tests)
         # Unfortunately, the "slow-tests" take so much time that we need to run them with --release
         run: PROPTEST_CASES=10000 cargo test --release --manifest-path=nalgebra-sparse/Cargo.toml --features compare,proptest-support,slow-tests slow
+  test-nalgebra-macros:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - name: test nalgebra-macros
+        run: cargo test -p nalgebra-macros
   build-wasm:
     runs-on: ubuntu-latest
 #    env:

Cargo.toml

@@ -22,7 +22,7 @@ name = "nalgebra"
 path = "src/lib.rs"
 
 [features]
-default = [ "std" ]
+default = [ "std", "macros" ]
 std     = [ "matrixmultiply", "simba/std" ]
 sparse  = [ ]
 debug   = [ "approx/num-complex", "rand" ]
@@ -32,6 +32,7 @@ compare = [ "matrixcompare-core" ]
 libm    = [ "simba/libm" ]
 libm-force = [ "simba/libm_force" ]
 no_unsound_assume_init = [ ]
+macros = [ "nalgebra-macros" ]
 
 # Conversion
 convert-mint = [ "mint" ]
@@ -60,6 +61,7 @@ proptest-support = [ "proptest" ]
 slow-tests       = []
 
 [dependencies]
+nalgebra-macros = { version = "0.1", path = "nalgebra-macros", optional = true }
 typenum        = "1.12"
 rand-package   = { package = "rand", version = "0.8", optional = true, default-features = false }
 num-traits     = { version = "0.2", default-features = false }
@@ -92,7 +94,7 @@ matrixcompare = "0.3.0"
 itertools = "0.10"
 
 [workspace]
-members = [ "nalgebra-lapack", "nalgebra-glm", "nalgebra-sparse" ]
+members = [ "nalgebra-lapack", "nalgebra-glm", "nalgebra-sparse", "nalgebra-macros" ]
 resolver = "2"
 
 [[example]]
@@ -109,4 +111,4 @@ lto = true
 
 [package.metadata.docs.rs]
 # Enable certain features when building docs for docs.rs
-features = [ "proptest-support", "compare" ]
+features = [ "proptest-support", "compare", "macros" ]

nalgebra-macros/Cargo.toml

@@ -0,0 +1,25 @@
+[package]
+name = "nalgebra-macros"
+version = "0.1.0"
+authors = [ "Andreas Longva", "Sébastien Crozet <developer@crozet.re>" ]
+edition = "2018"
+description = "Procedural macros for nalgebra"
+documentation = "https://www.nalgebra.org/docs"
+homepage = "https://nalgebra.org"
+repository = "https://github.com/dimforge/nalgebra"
+readme = "../README.md"
+categories = [ "science", "mathematics" ]
+keywords = [ "linear", "algebra", "matrix", "vector", "math" ]
+license = "Apache-2.0"
+
+[lib]
+proc-macro = true
+
+[dependencies]
+syn = { version="1.0", features = ["full"] }
+quote = "1.0"
+proc-macro2 = "1.0"
+
+[dev-dependencies]
+nalgebra = { version = "0.26.1", path = ".." }
+trybuild = "1.0.42"

nalgebra-macros/src/lib.rs

@@ -0,0 +1,282 @@
+//! Macros for `nalgebra`.
+//!
+//! This crate is not intended for direct consumption. Instead, the macros are re-exported by
+//! `nalgebra` if the `macros` feature is enabled (enabled by default).
+
+extern crate proc_macro;
+
+use proc_macro::TokenStream;
+use quote::{quote, ToTokens, TokenStreamExt};
+use syn::parse::{Error, Parse, ParseStream, Result};
+use syn::punctuated::Punctuated;
+use syn::Expr;
+use syn::{parse_macro_input, Token};
+
+use proc_macro2::{Delimiter, Spacing, TokenStream as TokenStream2, TokenTree};
+use proc_macro2::{Group, Punct};
+
+struct Matrix {
+    // Represent the matrix as a row-major vector of vectors of expressions
+    rows: Vec<Vec<Expr>>,
+    ncols: usize,
+}
+
+impl Matrix {
+    fn nrows(&self) -> usize {
+        self.rows.len()
+    }
+
+    fn ncols(&self) -> usize {
+        self.ncols
+    }
+
+    /// Produces a stream of tokens representing this matrix as a column-major nested array.
+    fn to_col_major_nested_array_tokens(&self) -> TokenStream2 {
+        let mut result = TokenStream2::new();
+        for j in 0..self.ncols() {
+            let mut col = TokenStream2::new();
+            let col_iter = (0..self.nrows()).map(move |i| &self.rows[i][j]);
+            col.append_separated(col_iter, Punct::new(',', Spacing::Alone));
+            result.append(Group::new(Delimiter::Bracket, col));
+            result.append(Punct::new(',', Spacing::Alone));
+        }
+        TokenStream2::from(TokenTree::Group(Group::new(Delimiter::Bracket, result)))
+    }
+
+    /// Produces a stream of tokens representing this matrix as a column-major flat array
+    /// (suitable for representing e.g. a `DMatrix`).
+    fn to_col_major_flat_array_tokens(&self) -> TokenStream2 {
+        let mut data = TokenStream2::new();
+        for j in 0..self.ncols() {
+            for i in 0..self.nrows() {
+                self.rows[i][j].to_tokens(&mut data);
+                data.append(Punct::new(',', Spacing::Alone));
+            }
+        }
+        TokenStream2::from(TokenTree::Group(Group::new(Delimiter::Bracket, data)))
+    }
+}
+
+type MatrixRowSyntax = Punctuated<Expr, Token![,]>;
+
+impl Parse for Matrix {
+    fn parse(input: ParseStream) -> Result<Self> {
+        let mut rows = Vec::new();
+        let mut ncols = None;
+
+        while !input.is_empty() {
+            let row_span = input.span();
+            let row = MatrixRowSyntax::parse_separated_nonempty(input)?;
+
+            if let Some(ncols) = ncols {
+                if row.len() != ncols {
+                    let row_idx = rows.len();
+                    let error_msg = format!(
+                        "Unexpected number of entries in row {}. Expected {}, found {} entries.",
+                        row_idx,
+                        ncols,
+                        row.len()
+                    );
+                    return Err(Error::new(row_span, error_msg));
+                }
+            } else {
+                ncols = Some(row.len());
+            }
+            rows.push(row.into_iter().collect());
+
+            // We've just read a row, so if there are more tokens, there must be a semi-colon,
+            // otherwise the input is malformed
+            if !input.is_empty() {
+                input.parse::<Token![;]>()?;
+            }
+        }
+
+        Ok(Self {
+            rows,
+            ncols: ncols.unwrap_or(0),
+        })
+    }
+}
+
+/// Construct a fixed-size matrix directly from data.
+///
+/// **Note: Requires the `macro` feature to be enabled (enabled by default)**.
+///
+/// This macro facilitates easy construction of matrices when the entries of the matrix are known
+/// (either as constants or expressions). This macro produces an instance of `SMatrix`. This means
+/// that the data of the matrix is stored on the stack, and its dimensions are fixed at
+/// compile-time. If you want to construct a dynamic matrix, use [`dmatrix!`] instead.
+///
+/// `matrix!` is intended to be both the simplest and most efficient way to construct (small)
+/// matrices, and can also be used in *const fn* contexts.
+///
+/// The syntax is MATLAB-like. Column elements are separated by a comma (`,`), and a semi-colon
+/// (`;`) designates that a new row begins.
+///
+/// # Examples
+///
+/// ```
+/// use nalgebra::matrix;
+///
+/// // Produces a Matrix3<_> == SMatrix<_, 3, 3>
+/// let a = matrix![1, 2, 3;
+///                 4, 5, 6;
+///                 7, 8, 9];
+/// ```
+///
+/// You can construct matrices with arbitrary expressions for its elements:
+///
+/// ```
+/// use nalgebra::{matrix, Matrix2};
+/// let theta = 0.45f64;
+///
+/// let r = matrix![theta.cos(), - theta.sin();
+///                 theta.sin(),   theta.cos()];
+/// ```
+#[proc_macro]
+pub fn matrix(stream: TokenStream) -> TokenStream {
+    let matrix = parse_macro_input!(stream as Matrix);
+
+    let row_dim = matrix.nrows();
+    let col_dim = matrix.ncols();
+
+    let array_tokens = matrix.to_col_major_nested_array_tokens();
+
+    //  TODO: Use quote_spanned instead??
+    let output = quote! {
+        nalgebra::SMatrix::<_, #row_dim, #col_dim>
+            ::from_array_storage(nalgebra::ArrayStorage(#array_tokens))
+    };
+
+    proc_macro::TokenStream::from(output)
+}
+
+/// Construct a dynamic matrix directly from data.
+///
+/// **Note: Requires the `macro` feature to be enabled (enabled by default)**.
+///
+/// The syntax is exactly the same as for [`matrix!`], but instead of producing instances of
+/// `SMatrix`, it produces instances of `DMatrix`. At the moment it is not usable
+/// in `const fn` contexts.
+///
+/// ```
+/// use nalgebra::dmatrix;
+///
+/// // Produces a DMatrix<_>
+/// let a = dmatrix![1, 2, 3;
+///                  4, 5, 6;
+///                  7, 8, 9];
+/// ```
+#[proc_macro]
+pub fn dmatrix(stream: TokenStream) -> TokenStream {
+    let matrix = parse_macro_input!(stream as Matrix);
+
+    let row_dim = matrix.nrows();
+    let col_dim = matrix.ncols();
+
+    let array_tokens = matrix.to_col_major_flat_array_tokens();
+
+    //  TODO: Use quote_spanned instead??
+    let output = quote! {
+        nalgebra::DMatrix::<_>
+            ::from_vec_storage(nalgebra::VecStorage::new(
+                nalgebra::Dynamic::new(#row_dim),
+                nalgebra::Dynamic::new(#col_dim),
+                vec!#array_tokens))
+    };
+
+    proc_macro::TokenStream::from(output)
+}
+
+struct Vector {
+    elements: Vec<Expr>,
+}
+
+impl Vector {
+    fn to_array_tokens(&self) -> TokenStream2 {
+        let mut data = TokenStream2::new();
+        data.append_separated(&self.elements, Punct::new(',', Spacing::Alone));
+        TokenStream2::from(TokenTree::Group(Group::new(Delimiter::Bracket, data)))
+    }
+
+    fn len(&self) -> usize {
+        self.elements.len()
+    }
+}
+
+impl Parse for Vector {
+    fn parse(input: ParseStream) -> Result<Self> {
+        // The syntax of a vector is just the syntax of a single matrix row
+        if input.is_empty() {
+            Ok(Self {
+                elements: Vec::new(),
+            })
+        } else {
+            let elements = MatrixRowSyntax::parse_separated_nonempty(input)?
+                .into_iter()
+                .collect();
+            Ok(Self { elements })
+        }
+    }
+}
+
+/// Construct a fixed-size column vector directly from data.
+///
+/// **Note: Requires the `macro` feature to be enabled (enabled by default)**.
+///
+/// Similarly to [`matrix!`], this macro facilitates easy construction of fixed-size vectors.
+/// However, whereas the [`matrix!`] macro expects each row to be separated by a semi-colon,
+/// the syntax of this macro is instead similar to `vec!`, in that the elements of the vector
+/// are simply listed consecutively.
+///
+/// `vector!` is intended to be the most readable and performant way of constructing small,
+/// fixed-size vectors, and it is usable in `const fn` contexts.
+///
+/// ## Examples
+///
+/// ```
+/// use nalgebra::vector;
+///
+/// // Produces a Vector3<_> == SVector<_, 3>
+/// let v = vector![1, 2, 3];
+/// ```
+#[proc_macro]
+pub fn vector(stream: TokenStream) -> TokenStream {
+    let vector = parse_macro_input!(stream as Vector);
+    let len = vector.len();
+    let array_tokens = vector.to_array_tokens();
+    let output = quote! {
+        nalgebra::SVector::<_, #len>
+            ::from_array_storage(nalgebra::ArrayStorage([#array_tokens]))
+    };
+    proc_macro::TokenStream::from(output)
+}
+
+/// Construct a dynamic column vector directly from data.
+///
+/// **Note: Requires the `macro` feature to be enabled (enabled by default)**.
+///
+/// The syntax is exactly the same as for [`vector!`], but instead of producing instances of
+/// `SVector`, it produces instances of `DVector`. At the moment it is not usable
+/// in `const fn` contexts.
+///
+/// ```
+/// use nalgebra::dvector;
+///
+/// // Produces a DVector<_>
+/// let v = dvector![1, 2, 3];
+/// ```
+#[proc_macro]
+pub fn dvector(stream: TokenStream) -> TokenStream {
+    let vector = parse_macro_input!(stream as Vector);
+    let len = vector.len();
+    let array_tokens = vector.to_array_tokens();
+    let output = quote! {
+        nalgebra::DVector::<_>
+            ::from_vec_storage(nalgebra::VecStorage::new(
+                nalgebra::Dynamic::new(#len),
+                nalgebra::Const::<1>,
+                vec!#array_tokens))
+    };
+    proc_macro::TokenStream::from(output)
+}

nalgebra-macros/tests/tests.rs

@@ -0,0 +1,258 @@
+use nalgebra::{
+    DMatrix, DVector, Matrix1x2, Matrix1x3, Matrix1x4, Matrix2, Matrix2x1, Matrix2x3, Matrix2x4,
+    Matrix3, Matrix3x1, Matrix3x2, Matrix3x4, Matrix4, Matrix4x1, Matrix4x2, Matrix4x3, SMatrix,
+    SVector, Vector1, Vector2, Vector3, Vector4, Vector5, Vector6,
+};
+use nalgebra_macros::{dmatrix, dvector, matrix, vector};
+
+fn check_statically_same_type<T>(_: &T, _: &T) {}
+
+/// Wrapper for `assert_eq` that also asserts that the types are the same
+macro_rules! assert_eq_and_type {
+    ($left:expr, $right:expr $(,)?) => {
+        check_statically_same_type(&$left, &$right);
+        assert_eq!($left, $right);
+    };
+}
+
+// Skip rustfmt because it just makes the test bloated without making it more readable
+#[rustfmt::skip]
+#[test]
+fn matrix_small_dims_exhaustive() {
+    // 0x0
+    assert_eq_and_type!(matrix![], SMatrix::<i32, 0, 0>::zeros());
+
+    // 1xN
+    assert_eq_and_type!(matrix![1], SMatrix::<i32, 1, 1>::new(1));
+    assert_eq_and_type!(matrix![1, 2], Matrix1x2::new(1, 2));
+    assert_eq_and_type!(matrix![1, 2, 3], Matrix1x3::new(1, 2, 3));
+    assert_eq_and_type!(matrix![1, 2, 3, 4], Matrix1x4::new(1, 2, 3, 4));
+
+    // 2xN
+    assert_eq_and_type!(matrix![1; 2], Matrix2x1::new(1, 2));
+    assert_eq_and_type!(matrix![1, 2; 3, 4], Matrix2::new(1, 2, 3, 4));
+    assert_eq_and_type!(matrix![1, 2, 3; 4, 5, 6], Matrix2x3::new(1, 2, 3, 4, 5, 6));
+    assert_eq_and_type!(matrix![1, 2, 3, 4; 5, 6, 7, 8], Matrix2x4::new(1, 2, 3, 4, 5, 6, 7, 8));
+
+    // 3xN
+    assert_eq_and_type!(matrix![1; 2; 3], Matrix3x1::new(1, 2, 3));
+    assert_eq_and_type!(matrix![1, 2; 3, 4; 5, 6], Matrix3x2::new(1, 2, 3, 4, 5, 6));
+    assert_eq_and_type!(matrix![1, 2, 3; 4, 5, 6; 7, 8, 9], Matrix3::new(1, 2, 3, 4, 5, 6, 7, 8, 9));
+    assert_eq_and_type!(matrix![1, 2, 3, 4; 5, 6, 7, 8; 9, 10, 11, 12],
+               Matrix3x4::new(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12));
+
+    // 4xN
+    assert_eq_and_type!(matrix![1; 2; 3; 4], Matrix4x1::new(1, 2, 3, 4));
+    assert_eq_and_type!(matrix![1, 2; 3, 4; 5, 6; 7, 8], Matrix4x2::new(1, 2, 3, 4, 5, 6, 7, 8));
+    assert_eq_and_type!(matrix![1, 2, 3; 4, 5, 6; 7, 8, 9; 10, 11, 12],
+               Matrix4x3::new(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12));
+    assert_eq_and_type!(matrix![1, 2, 3, 4; 5, 6, 7, 8; 9, 10, 11, 12; 13, 14, 15, 16],
+               Matrix4::new(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16));
+}
+
+#[test]
+fn matrix_const_fn() {
+    // Ensure that matrix! can be used in const contexts
+    const _: SMatrix<i32, 0, 0> = matrix![];
+    const _: SMatrix<i32, 1, 2> = matrix![1, 2];
+    const _: SMatrix<i32, 2, 3> = matrix![1, 2, 3; 4, 5, 6];
+}
+
+// Skip rustfmt because it just makes the test bloated without making it more readable
+#[rustfmt::skip]
+#[test]
+fn dmatrix_small_dims_exhaustive() {
+    // 0x0
+    assert_eq_and_type!(dmatrix![], DMatrix::<i32>::zeros(0, 0));
+
+    // 1xN
+    assert_eq_and_type!(dmatrix![1], DMatrix::from_row_slice(1, 1, &[1]));
+    assert_eq_and_type!(dmatrix![1, 2], DMatrix::from_row_slice(1, 2, &[1, 2]));
+    assert_eq_and_type!(dmatrix![1, 2, 3], DMatrix::from_row_slice(1, 3, &[1, 2, 3]));
+    assert_eq_and_type!(dmatrix![1, 2, 3, 4], DMatrix::from_row_slice(1, 4, &[1, 2, 3, 4]));
+
+    // 2xN
+    assert_eq_and_type!(dmatrix![1; 2], DMatrix::from_row_slice(2, 1,  &[1, 2]));
+    assert_eq_and_type!(dmatrix![1, 2; 3, 4], DMatrix::from_row_slice(2, 2,  &[1, 2, 3, 4]));
+    assert_eq_and_type!(dmatrix![1, 2, 3; 4, 5, 6], DMatrix::from_row_slice(2, 3,  &[1, 2, 3, 4, 5, 6]));
+    assert_eq_and_type!(dmatrix![1, 2, 3, 4; 5, 6, 7, 8], DMatrix::from_row_slice(2, 4,  &[1, 2, 3, 4, 5, 6, 7, 8]));
+
+    // 3xN
+    assert_eq_and_type!(dmatrix![1; 2; 3], DMatrix::from_row_slice(3, 1,  &[1, 2, 3]));
+    assert_eq_and_type!(dmatrix![1, 2; 3, 4; 5, 6], DMatrix::from_row_slice(3, 2,  &[1, 2, 3, 4, 5, 6]));
+    assert_eq_and_type!(dmatrix![1, 2, 3; 4, 5, 6; 7, 8, 9], DMatrix::from_row_slice(3, 3,  &[1, 2, 3, 4, 5, 6, 7, 8, 9]));
+    assert_eq_and_type!(dmatrix![1, 2, 3, 4; 5, 6, 7, 8; 9, 10, 11, 12],
+               DMatrix::from_row_slice(3, 4,  &[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]));
+
+    // 4xN
+    assert_eq_and_type!(dmatrix![1; 2; 3; 4], DMatrix::from_row_slice(4, 1,  &[1, 2, 3, 4]));
+    assert_eq_and_type!(dmatrix![1, 2; 3, 4; 5, 6; 7, 8], DMatrix::from_row_slice(4, 2,  &[1, 2, 3, 4, 5, 6, 7, 8]));
+    assert_eq_and_type!(dmatrix![1, 2, 3; 4, 5, 6; 7, 8, 9; 10, 11, 12],
+               DMatrix::from_row_slice(4, 3,  &[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]));
+    assert_eq_and_type!(dmatrix![1, 2, 3, 4; 5, 6, 7, 8; 9, 10, 11, 12; 13, 14, 15, 16],
+               DMatrix::from_row_slice(4, 4,  &[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]));
+}
+
+// Skip rustfmt because it just makes the test bloated without making it more readable
+#[rustfmt::skip]
+#[test]
+fn vector_small_dims_exhaustive() {
+    assert_eq_and_type!(vector![], SVector::<i32, 0>::zeros());
+    assert_eq_and_type!(vector![1], Vector1::<i32>::new(1));
+    assert_eq_and_type!(vector![1, 2], Vector2::new(1, 2));
+    assert_eq_and_type!(vector![1, 2, 3], Vector3::new(1, 2, 3));
+    assert_eq_and_type!(vector![1, 2, 3, 4], Vector4::new(1, 2, 3, 4));
+    assert_eq_and_type!(vector![1, 2, 3, 4, 5], Vector5::new(1, 2, 3, 4, 5));
+    assert_eq_and_type!(vector![1, 2, 3, 4, 5, 6], Vector6::new(1, 2, 3, 4, 5, 6));
+}
+
+#[test]
+fn vector_const_fn() {
+    // Ensure that vector! can be used in const contexts
+    const _: SVector<i32, 0> = vector![];
+    const _: Vector1<i32> = vector![1];
+    const _: Vector2<i32> = vector![1, 2];
+    const _: Vector6<i32> = vector![1, 2, 3, 4, 5, 6];
+}
+
+// Skip rustfmt because it just makes the test bloated without making it more readable
+#[rustfmt::skip]
+#[test]
+fn dvector_small_dims_exhaustive() {
+    assert_eq_and_type!(dvector![], DVector::<i32>::zeros(0));
+    assert_eq_and_type!(dvector![1], DVector::from_column_slice(&[1]));
+    assert_eq_and_type!(dvector![1, 2], DVector::from_column_slice(&[1, 2]));
+    assert_eq_and_type!(dvector![1, 2, 3], DVector::from_column_slice(&[1, 2, 3]));
+    assert_eq_and_type!(dvector![1, 2, 3, 4], DVector::from_column_slice(&[1, 2, 3, 4]));
+    assert_eq_and_type!(dvector![1, 2, 3, 4, 5], DVector::from_column_slice(&[1, 2, 3, 4, 5]));
+    assert_eq_and_type!(dvector![1, 2, 3, 4, 5, 6], DVector::from_column_slice(&[1, 2, 3, 4, 5, 6]));
+}
+
+#[test]
+fn matrix_trybuild_tests() {
+    let t = trybuild::TestCases::new();
+
+    // Verify error message when we give a matrix with mismatched dimensions
+    t.compile_fail("tests/trybuild/matrix_mismatched_dimensions.rs");
+}
+
+#[test]
+fn dmatrix_trybuild_tests() {
+    let t = trybuild::TestCases::new();
+
+    // Verify error message when we give a matrix with mismatched dimensions
+    t.compile_fail("tests/trybuild/dmatrix_mismatched_dimensions.rs");
+}
+
+#[test]
+fn matrix_builtin_types() {
+    // Check that matrix! compiles for all built-in types
+    const _: SMatrix<i8, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<i16, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<i32, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<i64, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<isize, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<u8, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<u16, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<u32, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<u64, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<usize, 2, 2> = matrix![0, 1; 2, 3];
+    const _: SMatrix<f32, 2, 2> = matrix![0.0, 1.0; 2.0, 3.0];
+    const _: SMatrix<f64, 2, 2> = matrix![0.0, 1.0; 2.0, 3.0];
+}
+
+#[test]
+fn vector_builtin_types() {
+    // Check that vector! compiles for all built-in types
+    const _: SVector<i8, 4> = vector![0, 1, 2, 3];
+    const _: SVector<i16, 4> = vector![0, 1, 2, 3];
+    const _: SVector<i32, 4> = vector![0, 1, 2, 3];
+    const _: SVector<i64, 4> = vector![0, 1, 2, 3];
+    const _: SVector<isize, 4> = vector![0, 1, 2, 3];
+    const _: SVector<u8, 4> = vector![0, 1, 2, 3];
+    const _: SVector<u16, 4> = vector![0, 1, 2, 3];
+    const _: SVector<u32, 4> = vector![0, 1, 2, 3];
+    const _: SVector<u64, 4> = vector![0, 1, 2, 3];
+    const _: SVector<usize, 4> = vector![0, 1, 2, 3];
+    const _: SVector<f32, 4> = vector![0.0, 1.0, 2.0, 3.0];
+    const _: SVector<f64, 4> = vector![0.0, 1.0, 2.0, 3.0];
+}
+
+#[test]
+fn dmatrix_builtin_types() {
+    // Check that dmatrix! compiles for all built-in types
+    let _: DMatrix<i8> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<i16> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<i32> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<i64> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<isize> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<u8> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<u16> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<u32> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<u64> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<usize> = dmatrix![0, 1; 2, 3];
+    let _: DMatrix<f32> = dmatrix![0.0, 1.0; 2.0, 3.0];
+    let _: DMatrix<f64> = dmatrix![0.0, 1.0; 2.0, 3.0];
+}
+
+#[test]
+fn dvector_builtin_types() {
+    // Check that dvector! compiles for all built-in types
+    let _: DVector<i8> = dvector![0, 1, 2, 3];
+    let _: DVector<i16> = dvector![0, 1, 2, 3];
+    let _: DVector<i32> = dvector![0, 1, 2, 3];
+    let _: DVector<i64> = dvector![0, 1, 2, 3];
+    let _: DVector<isize> = dvector![0, 1, 2, 3];
+    let _: DVector<u8> = dvector![0, 1, 2, 3];
+    let _: DVector<u16> = dvector![0, 1, 2, 3];
+    let _: DVector<u32> = dvector![0, 1, 2, 3];
+    let _: DVector<u64> = dvector![0, 1, 2, 3];
+    let _: DVector<usize> = dvector![0, 1, 2, 3];
+    let _: DVector<f32> = dvector![0.0, 1.0, 2.0, 3.0];
+    let _: DVector<f64> = dvector![0.0, 1.0, 2.0, 3.0];
+}
+
+/// Black box function that's just used for testing macros with function call expressions.
+fn f<T>(x: T) -> T {
+    x
+}
+
+#[rustfmt::skip]
+#[test]
+fn matrix_arbitrary_expressions() {
+    // Test that matrix! supports arbitrary expressions for its elements
+    let a = matrix![1 + 2       ,     2 * 3;
+                    4 * f(5 + 6), 7 - 8 * 9];
+    let a_expected = Matrix2::new(1 + 2       ,     2 * 3,
+                                  4 * f(5 + 6), 7 - 8 * 9);
+    assert_eq_and_type!(a, a_expected);
+}
+
+#[rustfmt::skip]
+#[test]
+fn dmatrix_arbitrary_expressions() {
+    // Test that dmatrix! supports arbitrary expressions for its elements
+    let a = dmatrix![1 + 2       ,     2 * 3;
+                     4 * f(5 + 6), 7 - 8 * 9];
+    let a_expected = DMatrix::from_row_slice(2, 2, &[1 + 2       ,     2 * 3,
+                                                     4 * f(5 + 6), 7 - 8 * 9]);
+    assert_eq_and_type!(a, a_expected);
+}
+
+#[rustfmt::skip]
+#[test]
+fn vector_arbitrary_expressions() {
+    // Test that vector! supports arbitrary expressions for its elements
+    let a = vector![1 + 2, 2 * 3, 4 * f(5 + 6), 7 - 8 * 9];
+    let a_expected = Vector4::new(1 + 2, 2 * 3, 4 * f(5 + 6), 7 - 8 * 9);
+    assert_eq_and_type!(a, a_expected);
+}
+
+#[rustfmt::skip]
+#[test]
+fn dvector_arbitrary_expressions() {
+    // Test that dvector! supports arbitrary expressions for its elements
+    let a = dvector![1 + 2, 2 * 3, 4 * f(5 + 6), 7 - 8 * 9];
+    let a_expected = DVector::from_column_slice(&[1 + 2, 2 * 3, 4 * f(5 + 6), 7 - 8 * 9]);
+    assert_eq_and_type!(a, a_expected);
+}

nalgebra-macros/tests/trybuild/dmatrix_mismatched_dimensions.rs

@@ -0,0 +1,6 @@
+use nalgebra_macros::dmatrix;
+
+fn main() {
+    dmatrix![1, 2, 3;
+            4, 5];
+}

nalgebra-macros/tests/trybuild/dmatrix_mismatched_dimensions.stderr

@@ -0,0 +1,5 @@
+error: Unexpected number of entries in row 1. Expected 3, found 2 entries.
+ --> $DIR/dmatrix_mismatched_dimensions.rs:5:13
+  |
+5 |             4, 5];
+  |             ^

nalgebra-macros/tests/trybuild/matrix_mismatched_dimensions.rs

@@ -0,0 +1,6 @@
+use nalgebra_macros::matrix;
+
+fn main() {
+    matrix![1, 2, 3;
+            4, 5];
+}

nalgebra-macros/tests/trybuild/matrix_mismatched_dimensions.stderr

@@ -0,0 +1,5 @@
+error: Unexpected number of entries in row 1. Expected 3, found 2 entries.
+ --> $DIR/matrix_mismatched_dimensions.rs:5:13
+  |
+5 |             4, 5];
+  |             ^

src/base/matrix.rs

@@ -29,7 +29,10 @@ use crate::base::storage::{
     ContiguousStorage, ContiguousStorageMut, Owned, SameShapeStorage, Storage, StorageMut,
 };
 use crate::base::{Const, DefaultAllocator, OMatrix, OVector, Scalar, Unit};
-use crate::SimdComplexField;
+use crate::{ArrayStorage, SMatrix, SimdComplexField};
+
+#[cfg(any(feature = "std", feature = "alloc"))]
+use crate::{DMatrix, DVector, Dynamic, VecStorage};
 
 /// A square matrix.
 pub type SquareMatrix<T, D, S> = Matrix<T, D, D, S>;
@@ -317,6 +320,49 @@ impl<T, R, C, S> Matrix<T, R, C, S> {
     }
 }
 
+impl<T, const R: usize, const C: usize> SMatrix<T, R, C> {
+    /// Creates a new statically-allocated matrix from the given [ArrayStorage].
+    ///
+    /// This method exists primarily as a workaround for the fact that `from_data` can not
+    /// work in `const fn` contexts.
+    #[inline(always)]
+    pub const fn from_array_storage(storage: ArrayStorage<T, R, C>) -> Self {
+        // This is sound because the row and column types are exactly the same as that of the
+        // storage, so there can be no mismatch
+        unsafe { Self::from_data_statically_unchecked(storage) }
+    }
+}
+
+// TODO: Consider removing/deprecating `from_vec_storage` once we are able to make
+// `from_data` const fn compatible
+#[cfg(any(feature = "std", feature = "alloc"))]
+impl<T> DMatrix<T> {
+    /// Creates a new heap-allocated matrix from the given [VecStorage].
+    ///
+    /// This method exists primarily as a workaround for the fact that `from_data` can not
+    /// work in `const fn` contexts.
+    pub const fn from_vec_storage(storage: VecStorage<T, Dynamic, Dynamic>) -> Self {
+        // This is sound because the dimensions of the matrix and the storage are guaranteed
+        // to be the same
+        unsafe { Self::from_data_statically_unchecked(storage) }
+    }
+}
+
+// TODO: Consider removing/deprecating `from_vec_storage` once we are able to make
+// `from_data` const fn compatible
+#[cfg(any(feature = "std", feature = "alloc"))]
+impl<T> DVector<T> {
+    /// Creates a new heap-allocated matrix from the given [VecStorage].
+    ///
+    /// This method exists primarily as a workaround for the fact that `from_data` can not
+    /// work in `const fn` contexts.
+    pub const fn from_vec_storage(storage: VecStorage<T, Dynamic, U1>) -> Self {
+        // This is sound because the dimensions of the matrix and the storage are guaranteed
+        // to be the same
+        unsafe { Self::from_data_statically_unchecked(storage) }
+    }
+}
+
 impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
     /// Creates a new matrix with the given data.
     #[inline(always)]

src/lib.rs

@@ -136,6 +136,9 @@ pub use crate::sparse::*;
 )]
 pub use base as core;
 
+#[cfg(feature = "macros")]
+pub use nalgebra_macros::{dmatrix, dvector, matrix, vector};
+
 use simba::scalar::SupersetOf;
 use std::cmp::{self, Ordering, PartialOrd};
 

tests/core/macros.rs

@@ -0,0 +1,11 @@
+use nalgebra::{dmatrix, dvector, matrix, vector};
+
+#[test]
+fn sanity_test() {
+    // The macros are already tested in `nalgebra-macros`. Here we just test that they compile fine.
+
+    let _ = matrix![1, 2, 3; 4, 5, 6];
+    let _ = dmatrix![1, 2, 3; 4, 5, 6];
+    let _ = vector![1, 2, 3, 4, 5, 6];
+    let _ = dvector![1, 2, 3, 4, 5, 6];
+}

tests/core/mod.rs

@@ -16,3 +16,6 @@ mod matrixcompare;
 
 #[cfg(feature = "arbitrary")]
 pub mod helper;
+
+#[cfg(feature = "macros")]
+mod macros;

tests/lib.rs

@@ -1,7 +1,12 @@
-#[cfg(not(all(feature = "debug", feature = "compare", feature = "rand")))]
+#[cfg(not(all(
+    feature = "debug",
+    feature = "compare",
+    feature = "rand",
+    feature = "macros"
+)))]
 compile_error!(
-    "Please enable the `debug`, `compare`, and `rand` features in order to compile and run the tests.
-     Example: `cargo test --features debug,compare,rand`"
+    "Please enable the `debug`, `compare`, `rand` and `macros` features in order to compile and run the tests.
+     Example: `cargo test --features debug,compare,rand,macros`"
 );
 
 #[cfg(feature = "abomonation-serialize")]