forked from M-Labs/nalgebra
130 lines
4.9 KiB
Rust
130 lines
4.9 KiB
Rust
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use nalgebra_sparse::pattern::{SparsityPattern, SparsityPatternFormatError};
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#[test]
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fn sparsity_pattern_valid_data() {
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// Construct pattern from valid data and check that selected methods return results
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// that agree with expectations.
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{
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// A pattern with zero explicitly stored entries
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let pattern = SparsityPattern::try_from_offsets_and_indices(3,
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2,
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vec![0, 0, 0, 0],
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Vec::new())
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.unwrap();
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assert_eq!(pattern.major_dim(), 3);
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assert_eq!(pattern.minor_dim(), 2);
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assert_eq!(pattern.nnz(), 0);
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assert_eq!(pattern.major_offsets(), &[0, 0, 0, 0]);
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assert_eq!(pattern.minor_indices(), &[]);
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assert_eq!(pattern.lane(0), &[]);
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assert_eq!(pattern.lane(1), &[]);
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assert_eq!(pattern.lane(2), &[]);
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assert!(pattern.entries().next().is_none());
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assert_eq!(pattern, SparsityPattern::new(3, 2));
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let (offsets, indices) = pattern.disassemble();
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assert_eq!(offsets, vec![0, 0, 0, 0]);
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assert_eq!(indices, vec![]);
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}
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{
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// Arbitrary pattern
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let offsets = vec![0, 2, 2, 5];
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let indices = vec![0, 5, 1, 2, 3];
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let pattern =
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SparsityPattern::try_from_offsets_and_indices(3, 6, offsets.clone(), indices.clone())
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.unwrap();
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assert_eq!(pattern.major_dim(), 3);
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assert_eq!(pattern.minor_dim(), 6);
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assert_eq!(pattern.major_offsets(), offsets.as_slice());
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assert_eq!(pattern.minor_indices(), indices.as_slice());
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assert_eq!(pattern.nnz(), 5);
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assert_eq!(pattern.lane(0), &[0, 5]);
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assert_eq!(pattern.lane(1), &[]);
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assert_eq!(pattern.lane(2), &[1, 2, 3]);
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assert_eq!(pattern.entries().collect::<Vec<_>>(),
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vec![(0, 0), (0, 5), (2, 1), (2, 2), (2, 3)]);
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let (offsets2, indices2) = pattern.disassemble();
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assert_eq!(offsets2, offsets);
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assert_eq!(indices2, indices);
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}
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}
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#[test]
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fn sparsity_pattern_try_from_invalid_data() {
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{
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// Empty offset array (invalid length)
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let pattern = SparsityPattern::try_from_offsets_and_indices(0, 0, Vec::new(), Vec::new());
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assert_eq!(pattern, Err(SparsityPatternFormatError::InvalidOffsetArrayLength));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert!(matches!(pattern, Err(SparsityPatternFormatError::InvalidOffsetArrayLength)));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert!(matches!(pattern, Err(SparsityPatternFormatError::InvalidOffsetFirstLast)));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert!(matches!(pattern, Err(SparsityPatternFormatError::InvalidOffsetFirstLast)));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert!(matches!(pattern, Err(SparsityPatternFormatError::InvalidOffsetArrayLength)));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert_eq!(pattern, Err(SparsityPatternFormatError::NonmonotonicOffsets));
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}
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{
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// Nonmonotonic minor indices
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let offsets = vec![0, 2, 2, 5];
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let indices = vec![0, 2, 3, 1, 4];
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let pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert_eq!(pattern, Err(SparsityPatternFormatError::NonmonotonicMinorIndices));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert_eq!(pattern, Err(SparsityPatternFormatError::MinorIndexOutOfBounds));
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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 pattern = SparsityPattern::try_from_offsets_and_indices(3, 6, offsets, indices);
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assert_eq!(pattern, Err(SparsityPatternFormatError::DuplicateEntry));
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}
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}
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