Normalize `#[must_use]` hints

src/base/norm.rs

@@ -349,7 +349,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
 
     /// Returns a new vector with the same magnitude as `self` clamped between `0.0` and `max`.
     #[inline]
-    #[must_use = "This function does not mutate self but returns a new clamped version."]
+    #[must_use]
     pub fn cap_magnitude(&self, max: T::RealField) -> OMatrix<T, R, C>
     where
         T: ComplexField,
@@ -366,7 +366,7 @@ impl<T: Scalar, R: Dim, C: Dim, S: Storage<T, R, C>> Matrix<T, R, C, S> {
 
     /// Returns a new vector with the same magnitude as `self` clamped between `0.0` and `max`.
     #[inline]
-    #[must_use = "This function does not mutate self but returns a new clamped version."]
+    #[must_use]
     pub fn simd_cap_magnitude(&self, max: T::SimdRealField) -> OMatrix<T, R, C>
     where
         T: SimdComplexField,

src/lib.rs

@@ -184,7 +184,7 @@ pub fn zero<T: Zero>() -> T {
 /// Wraps `val` into the range `[min, max]` using modular arithmetics.
 ///
 /// The range must not be empty.
-#[must_use = "This function does not mutate `val`."]
+#[must_use]
 #[inline]
 pub fn wrap<T>(mut val: T, min: T, max: T) -> T
 where
@@ -220,7 +220,7 @@ where
 ///     * If `min < val < max`, this returns `val`.
 ///     * If `val <= min`, this returns `min`.
 ///     * If `val >= max`, this returns `max`.
-#[must_use = "This function does not mutate `val`."]
+#[must_use]
 #[inline]
 pub fn clamp<T: PartialOrd>(val: T, min: T, max: T) -> T {
     if val > min {

src/linalg/cholesky.rs

@@ -134,7 +134,7 @@ where
     }
 
     /// Computes the inverse of the decomposed matrix.
-    #[must_use = "This function does not mutate self. Consider using the return value or dropping the function call."]
+    #[must_use]
     pub fn inverse(&self) -> OMatrix<T, D, D> {
         let shape = self.chol.data.shape();
         let mut res = OMatrix::identity_generic(shape.0, shape.1);

src/linalg/exp.rs

@@ -435,7 +435,7 @@ where
         + Allocator<T::RealField, D, D>,
 {
     /// Computes exponential of this matrix
-    #[must_use = "This function does not mutate self. Consider using the return value or dropping the function call."]
+    #[must_use]
     pub fn exp(&self) -> Self {
         // Simple case
         if self.nrows() == 1 {

src/sparse/cs_matrix_solve.rs

@@ -137,7 +137,7 @@ impl<T: RealField, D: Dim, S: CsStorage<T, D, D>> CsMatrix<T, D, D, S> {
     }
 
     /// Solve a lower-triangular system with a sparse right-hand-side.
-    #[must_use = "This function has no side effects. Consider using the return value or removing the function call."]
+    #[must_use]
     pub fn solve_lower_triangular_cs<D2: Dim, S2>(
         &self,
         b: &CsVector<T, D2, S2>,