forked from M-Labs/nalgebra
Add tests for some csr matrix related failure cases
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@ -178,7 +178,8 @@ impl<T> CsrMatrix<T> {
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/// bounds with respect to the number of columns in the matrix. If this is not the case,
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/// bounds with respect to the number of columns in the matrix. If this is not the case,
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/// an error is returned to indicate the failure.
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/// an error is returned to indicate the failure.
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///
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///
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/// An error is returned if the data given does not conform to the CSR storage format.
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/// An error is returned if the data given does not conform to the CSR storage format
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/// with the exception of having unsorted column indices and values.
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/// See the documentation for [CsrMatrix](struct.CsrMatrix.html) for more information.
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/// See the documentation for [CsrMatrix](struct.CsrMatrix.html) for more information.
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pub fn try_from_unsorted_csr_data(
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pub fn try_from_unsorted_csr_data(
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num_rows: usize,
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num_rows: usize,
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@ -190,6 +191,7 @@ impl<T> CsrMatrix<T> {
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where
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where
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T: Scalar + Zero,
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T: Scalar + Zero,
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{
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{
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use SparsityPatternFormatError::*;
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let count = col_indices.len();
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let count = col_indices.len();
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let mut p: Vec<usize> = (0..count).collect();
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let mut p: Vec<usize> = (0..count).collect();
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@ -215,6 +217,9 @@ impl<T> CsrMatrix<T> {
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"No row offset should be greater than the number of column indices",
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"No row offset should be greater than the number of column indices",
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));
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));
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}
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}
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if offset > next_offset {
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return Err(NonmonotonicOffsets).map_err(pattern_format_error_to_csr_error);
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}
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p[offset..next_offset].sort_by(|a, b| {
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p[offset..next_offset].sort_by(|a, b| {
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let x = &col_indices[*a];
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let x = &col_indices[*a];
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let y = &col_indices[*b];
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let y = &col_indices[*b];
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@ -226,15 +231,15 @@ impl<T> CsrMatrix<T> {
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let sorted_col_indices: Vec<usize> = p.iter().map(|i| col_indices[*i]).collect();
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let sorted_col_indices: Vec<usize> = p.iter().map(|i| col_indices[*i]).collect();
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// permute values
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// permute values
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let mut sorted_vaues: Vec<T> = vec![T::zero(); count];
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let mut sorted_values: Vec<T> = vec![T::zero(); count];
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apply_permutation(&mut sorted_vaues[..count], &values[..count], &p[..count]);
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apply_permutation(&mut sorted_values, &values, &p);
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return Self::try_from_csr_data(
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return Self::try_from_csr_data(
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num_rows,
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num_rows,
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num_cols,
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num_cols,
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row_offsets,
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row_offsets,
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sorted_col_indices,
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sorted_col_indices,
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sorted_vaues,
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sorted_values,
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);
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);
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}
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}
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@ -178,7 +178,7 @@ fn csr_matrix_valid_data_unsorted_column_indices() {
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4,
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4,
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vec![0, 1, 2, 5],
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vec![0, 1, 2, 5],
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vec![1, 3, 2, 3, 0],
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vec![1, 3, 2, 3, 0],
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vec![5, 4, 1, 4, 1],
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vec![5, 4, 2, 3, 1],
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)
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)
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.unwrap();
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.unwrap();
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@ -187,13 +187,111 @@ fn csr_matrix_valid_data_unsorted_column_indices() {
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4,
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4,
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vec![0, 1, 2, 5],
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vec![0, 1, 2, 5],
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vec![1, 3, 0, 2, 3],
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vec![1, 3, 0, 2, 3],
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vec![5, 4, 1, 1, 4],
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vec![5, 4, 1, 2, 3],
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)
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)
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.unwrap();
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.unwrap();
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assert_eq!(csr, expected_csr);
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assert_eq!(csr, expected_csr);
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}
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}
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#[test]
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fn csr_matrix_try_from_invalid_csr_data2() {
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{
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// Empty offset array (invalid length)
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let matrix =
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CsrMatrix::try_from_unsorted_csr_data(0, 0, Vec::new(), Vec::new(), Vec::<u32>::new());
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Offset array invalid length for arbitrary data
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let offsets = vec![0, 3, 5];
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let indices = vec![0, 1, 2, 3, 5];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Invalid first entry in offsets array
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let offsets = vec![1, 2, 2, 5];
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let indices = vec![0, 5, 1, 2, 3];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Invalid last entry in offsets array
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let offsets = vec![0, 2, 2, 4];
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let indices = vec![0, 5, 1, 2, 3];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Invalid length of offsets array
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let offsets = vec![0, 2, 2];
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let indices = vec![0, 5, 1, 2, 3];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Nonmonotonic offsets
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let offsets = vec![0, 3, 2, 5];
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let indices = vec![0, 1, 2, 3, 4];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::InvalidStructure
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);
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}
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{
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// Minor index out of bounds
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let offsets = vec![0, 2, 2, 5];
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let indices = vec![0, 6, 1, 2, 3];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::IndexOutOfBounds
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);
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}
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{
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// Duplicate entry
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let offsets = vec![0, 2, 2, 5];
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let indices = vec![0, 5, 2, 2, 3];
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let values = vec![0, 1, 2, 3, 4];
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let matrix = CsrMatrix::try_from_unsorted_csr_data(3, 6, offsets, indices, values);
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assert_eq!(
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matrix.unwrap_err().kind(),
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&SparseFormatErrorKind::DuplicateEntry
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);
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}
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}
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#[test]
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#[test]
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fn csr_matrix_try_from_invalid_csr_data() {
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fn csr_matrix_try_from_invalid_csr_data() {
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{
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{
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