Revert "Updated more error messages"

This reverts commit a42eae45e045c391ede37a7a4328c09cbbb87a0f.

nalgebra-sparse/src/convert/serial.rs

@@ -64,7 +64,7 @@ where
     // TODO: Avoid "try_from" since it validates the data? (requires unsafe, should benchmark
     // to see if it can be justified for performance reasons)
     CsrMatrix::try_from_csr_data(coo.nrows(), coo.ncols(), offsets, indices, values)
-        .expect("internal error: invalid CSR data during COO->CSR conversion")
+        .expect("Internal error: Invalid CSR data during COO->CSR conversion")
 }
 
 /// Converts a [`CsrMatrix`] to a [`CooMatrix`].
@@ -120,7 +120,7 @@ where
     // TODO: Consider circumventing the data validity check here
     // (would require unsafe, should benchmark)
     CsrMatrix::try_from_csr_data(dense.nrows(), dense.ncols(), row_offsets, col_idx, values)
-        .expect("internal error: invalid CsrMatrix format during dense -> CSR conversion")
+        .expect("Internal error: Invalid CsrMatrix format during dense-> CSR conversion")
 }
 
 /// Converts a [`CooMatrix`] to a [`CscMatrix`].
@@ -138,7 +138,7 @@ where
     // TODO: Avoid "try_from" since it validates the data? (requires unsafe, should benchmark
     // to see if it can be justified for performance reasons)
     CscMatrix::try_from_csc_data(coo.nrows(), coo.ncols(), offsets, indices, values)
-        .expect("internal error: invalid CSC data during COO -> CSC conversion")
+        .expect("Internal error: Invalid CSC data during COO->CSC conversion")
 }
 
 /// Converts a [`CscMatrix`] to a [`CooMatrix`].
@@ -194,7 +194,7 @@ where
     // TODO: Consider circumventing the data validity check here
     // (would require unsafe, should benchmark)
     CscMatrix::try_from_csc_data(dense.nrows(), dense.ncols(), col_offsets, row_idx, values)
-        .expect("internal error: invalid CscMatrix format during dense -> CSC conversion")
+        .expect("Internal error: Invalid CscMatrix format during dense-> CSC conversion")
 }
 
 /// Converts a [`CsrMatrix`] to a [`CscMatrix`].
@@ -212,7 +212,7 @@ where
 
     // TODO: Avoid data validity check?
     CscMatrix::try_from_csc_data(csr.nrows(), csr.ncols(), offsets, indices, values)
-        .expect("internal error: invalid CSC data during CSR -> CSC conversion")
+        .expect("Internal error: Invalid CSC data during CSR->CSC conversion")
 }
 
 /// Converts a [`CscMatrix`] to a [`CsrMatrix`].
@@ -230,7 +230,7 @@ where
 
     // TODO: Avoid data validity check?
     CsrMatrix::try_from_csr_data(csc.nrows(), csc.ncols(), offsets, indices, values)
-        .expect("internal error: invalid CSR data during CSC -> CSR conversion")
+        .expect("Internal error: Invalid CSR data during CSC->CSR conversion")
 }
 
 fn convert_coo_cs<T>(

nalgebra-sparse/src/factorization/cholesky.rs

@@ -31,7 +31,7 @@ impl CscSymbolicCholesky {
         assert_eq!(
             pattern.major_dim(),
             pattern.minor_dim(),
-            "major and minor dimensions must be the same (square matrix)"
+            "Major and minor dimensions must be the same (square matrix)."
         );
         let (l_pattern, u_pattern) = nonzero_pattern(&pattern);
         Self {
@@ -82,7 +82,7 @@ pub enum CholeskyError {
 
 impl Display for CholeskyError {
     fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
-        write!(f, "matrix is not positive definite")
+        write!(f, "Matrix is not positive definite")
     }
 }
 
@@ -279,7 +279,7 @@ impl<T: RealField> CscCholesky<T> {
     ///
     /// Panics if `b` is not square.
     pub fn solve_mut<'a>(&'a self, b: impl Into<DMatrixSliceMut<'a, T>>) {
-        let expect_msg = "if the Cholesky factorization succeeded,\
+        let expect_msg = "If the Cholesky factorization succeeded,\
             then the triangular solve should never fail";
         // Solve LY = B
         let mut y = b.into();

nalgebra-sparse/src/ops/serial/cs.rs

@@ -8,7 +8,7 @@ use num_traits::{One, Zero};
 fn spmm_cs_unexpected_entry() -> OperationError {
     OperationError::from_kind_and_message(
         OperationErrorKind::InvalidPattern,
-        String::from("found unexpected entry that is not present in `c`"),
+        String::from("Found unexpected entry that is not present in `c`."),
     )
 }
 
@@ -62,7 +62,7 @@ where
 fn spadd_cs_unexpected_entry() -> OperationError {
     OperationError::from_kind_and_message(
         OperationErrorKind::InvalidPattern,
-        String::from("found entry in `op(a)` that is not present in `c`"),
+        String::from("Found entry in `op(a)` that is not present in `c`."),
     )
 }
 

nalgebra-sparse/src/ops/serial/csc.rs

@@ -132,12 +132,12 @@ pub fn spsolve_csc_lower_triangular<'a, T: RealField>(
     assert_eq!(
         l_matrix.nrows(),
         l_matrix.ncols(),
-        "matrix must be square for triangular solve"
+        "Matrix must be square for triangular solve."
     );
     assert_eq!(
         l_matrix.nrows(),
         b.nrows(),
-        "dimension mismatch in sparse lower triangular solver"
+        "Dimension mismatch in sparse lower triangular solver."
     );
     match l {
         Op::NoOp(a) => spsolve_csc_lower_triangular_no_transpose(a, b),
@@ -196,7 +196,7 @@ fn spsolve_csc_lower_triangular_no_transpose<T: RealField>(
 }
 
 fn spsolve_encountered_zero_diagonal() -> Result<(), OperationError> {
-    let message = "matrix contains at least one diagonal entry that is zero";
+    let message = "Matrix contains at least one diagonal entry that is zero.";
     Err(OperationError::from_kind_and_message(
         OperationErrorKind::Singular,
         String::from(message),

nalgebra-sparse/src/ops/serial/mod.rs

@@ -108,16 +108,16 @@ impl OperationError {
 
 impl fmt::Display for OperationError {
     fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result {
-        write!(f, "sparse matrix operation error: ")?;
+        write!(f, "Sparse matrix operation error: ")?;
         match self.kind() {
             OperationErrorKind::InvalidPattern => {
-                write!(f, "invalid pattern")?;
+                write!(f, "InvalidPattern")?;
             }
             OperationErrorKind::Singular => {
-                write!(f, "singular")?;
+                write!(f, "Singular")?;
             }
         }
-        write!(f, " message: {}", self.message)
+        write!(f, " Message: {}", self.message)
     }
 }
 

nalgebra-sparse/src/ops/serial/pattern.rs

@@ -16,12 +16,12 @@ pub fn spadd_pattern(a: &SparsityPattern, b: &SparsityPattern) -> SparsityPatter
     assert_eq!(
         a.major_dim(),
         b.major_dim(),
-        "patterns must have identical major dimensions"
+        "Patterns must have identical major dimensions."
     );
     assert_eq!(
         a.minor_dim(),
         b.minor_dim(),
-        "patterns must have identical minor dimensions"
+        "Patterns must have identical minor dimensions."
     );
 
     let mut offsets = Vec::new();
@@ -40,7 +40,7 @@ pub fn spadd_pattern(a: &SparsityPattern, b: &SparsityPattern) -> SparsityPatter
 
     // TODO: Consider circumventing format checks? (requires unsafe, should benchmark first)
     SparsityPattern::try_from_offsets_and_indices(a.major_dim(), a.minor_dim(), offsets, indices)
-        .expect("internal error: pattern must be valid by definition")
+        .expect("Internal error: Pattern must be valid by definition")
 }
 
 /// Sparse matrix multiplication pattern construction, `C <- A * B`.
@@ -114,7 +114,7 @@ pub fn spmm_csr_pattern(a: &SparsityPattern, b: &SparsityPattern) -> SparsityPat
     }
 
     SparsityPattern::try_from_offsets_and_indices(a.major_dim(), b.minor_dim(), offsets, indices)
-        .expect("internal error: invalid pattern during matrix multiplication pattern construction")
+        .expect("Internal error: Invalid pattern during matrix multiplication pattern construction")
 }
 
 /// Iterate over the union of the two sets represented by sorted slices

nalgebra-sparse/src/pattern.rs

@@ -256,7 +256,7 @@ impl SparsityPattern {
             new_offsets,
             new_indices,
         )
-        .expect("internal error: transpose should never fail")
+        .expect("internal error: Transpose should never fail")
     }
 }