nalgebra/nalgebra-sparse/tests/unit_tests/test_data_examples.rs
Anton Arsenij 757b99e843
CSC: Create constructor for unsorted but otherwise valid data (#1015)
* CSC: Create constructor for unsorted but otherwise valid data

* Test creating csc matrix from unsorted but valid data

* Add function for validation and sorting

* Move validation function to cs.rs

* Restore pattern unit test

* Add unit test for 'major offset out of bounds' case

* Avoid permutation allocations on 'happy path'

* Reuse allocated permutation

* Fix comments for test-data examples

* Remove unnecessary iter variable

* Set up buffers for sorting up front

* Use common apply_permutation function

* Use common compute_sort_permutation function

* Move unsafe down to unchecked call

* Add panic cases to documentation

* Remove unnecessary Zero bound

* Move buffer set up away from loop

* Lift T::Zero from cs.rs

* Improve checking if values are provided

* Simplify copying from slices & add test for wrong values length

* Check duplicates after sorting

* Fix formatting

* Check values length at the beginning

* Check length of values if values != None
2022-03-03 10:14:16 +01:00

81 lines
3.5 KiB
Rust

/// Examples of *valid* raw CS data `(offsets, indices, values)`.
pub struct ValidCsDataExamples {
pub valid_cs_data: (Vec<usize>, Vec<usize>, Vec<i32>),
pub valid_unsorted_cs_data: (Vec<usize>, Vec<usize>, Vec<i32>),
}
impl ValidCsDataExamples {
pub fn new() -> Self {
let valid_cs_data = (
vec![0, 3, 5, 8, 11],
vec![1, 3, 4, 1, 3, 0, 2, 3, 1, 3, 4],
vec![1, 4, 5, 4, 7, 1, 2, 3, 6, 8, 9],
);
let valid_unsorted_cs_data = (
vec![0, 3, 5, 8, 11],
vec![4, 1, 3, 3, 1, 2, 3, 0, 3, 4, 1],
vec![5, 1, 4, 7, 4, 2, 3, 1, 8, 9, 6],
);
return Self {
valid_cs_data,
valid_unsorted_cs_data,
};
}
}
/// Examples of *invalid* raw CS data `(offsets, indices, values)`.
pub struct InvalidCsDataExamples {
pub empty_offset_array: (Vec<usize>, Vec<usize>, Vec<i32>),
pub offset_array_invalid_length_for_arbitrary_data: (Vec<usize>, Vec<usize>, Vec<i32>),
pub invalid_first_entry_in_offsets_array: (Vec<usize>, Vec<usize>, Vec<i32>),
pub invalid_last_entry_in_offsets_array: (Vec<usize>, Vec<usize>, Vec<i32>),
pub invalid_length_of_offsets_array: (Vec<usize>, Vec<usize>, Vec<i32>),
pub nonmonotonic_offsets: (Vec<usize>, Vec<usize>, Vec<i32>),
pub nonmonotonic_minor_indices: (Vec<usize>, Vec<usize>, Vec<i32>),
pub major_offset_out_of_bounds: (Vec<usize>, Vec<usize>, Vec<i32>),
pub minor_index_out_of_bounds: (Vec<usize>, Vec<usize>, Vec<i32>),
pub duplicate_entry: (Vec<usize>, Vec<usize>, Vec<i32>),
pub duplicate_entry_unsorted: (Vec<usize>, Vec<usize>, Vec<i32>),
pub wrong_values_length: (Vec<usize>, Vec<usize>, Vec<i32>),
}
impl InvalidCsDataExamples {
pub fn new() -> Self {
let empty_offset_array = (Vec::<usize>::new(), Vec::<usize>::new(), Vec::<i32>::new());
let offset_array_invalid_length_for_arbitrary_data =
(vec![0, 3, 5], vec![0, 1, 2, 3, 5], vec![0, 1, 2, 3, 4]);
let invalid_first_entry_in_offsets_array =
(vec![1, 2, 2, 5], vec![0, 5, 1, 2, 3], vec![0, 1, 2, 3, 4]);
let invalid_last_entry_in_offsets_array =
(vec![0, 2, 2, 4], vec![0, 5, 1, 2, 3], vec![0, 1, 2, 3, 4]);
let invalid_length_of_offsets_array =
(vec![0, 2, 2], vec![0, 5, 1, 2, 3], vec![0, 1, 2, 3, 4]);
let nonmonotonic_offsets = (vec![0, 3, 2, 5], vec![0, 1, 2, 3, 4], vec![0, 1, 2, 3, 4]);
let nonmonotonic_minor_indices =
(vec![0, 2, 2, 5], vec![0, 2, 3, 1, 4], vec![0, 1, 2, 3, 4]);
let major_offset_out_of_bounds =
(vec![0, 7, 2, 5], vec![0, 2, 3, 1, 4], vec![0, 1, 2, 3, 4]);
let minor_index_out_of_bounds =
(vec![0, 2, 2, 5], vec![0, 6, 1, 2, 3], vec![0, 1, 2, 3, 4]);
let duplicate_entry = (vec![0, 1, 2, 5], vec![1, 3, 2, 3, 3], vec![0, 1, 2, 3, 4]);
let duplicate_entry_unsorted = (vec![0, 1, 4, 5], vec![1, 3, 2, 3, 3], vec![0, 1, 2, 3, 4]);
let wrong_values_length = (vec![0, 1, 2, 5], vec![1, 3, 2, 3, 0], vec![5, 4]);
return Self {
empty_offset_array,
offset_array_invalid_length_for_arbitrary_data,
invalid_first_entry_in_offsets_array,
invalid_last_entry_in_offsets_array,
invalid_length_of_offsets_array,
nonmonotonic_minor_indices,
nonmonotonic_offsets,
major_offset_out_of_bounds,
minor_index_out_of_bounds,
duplicate_entry,
duplicate_entry_unsorted,
wrong_values_length,
};
}
}