Struct arrow::ipc::gen::SparseTensor::SparseMatrixIndexCSX [−][src]
pub struct SparseMatrixIndexCSX<'a> {
pub _tab: Table<'a>,
}
Expand description
Compressed Sparse format, that is matrix-specific.
Fields
_tab: Table<'a>
Implementations
pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>(
_fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>,
args: &'args SparseMatrixIndexCSXArgs<'args>
) -> WIPOffset<SparseMatrixIndexCSX<'bldr>>
Which axis, row or column, is compressed
The type of values in indptrBuffer
indptrBuffer stores the location and size of indptr array that
represents the range of the rows.
The i-th row spans from indptr[i]
to indptr[i+1]
in the data.
The length of this array is 1 + (the number of rows), and the type
of index value is long.
For example, let X be the following 6x4 matrix:
X := [[0, 1, 2, 0],
[0, 0, 3, 0],
[0, 4, 0, 5],
[0, 0, 0, 0],
[6, 0, 7, 8],
[0, 9, 0, 0]].
The array of non-zero values in X is:
values(X) = [1, 2, 3, 4, 5, 6, 7, 8, 9].
And the indptr of X is:
indptr(X) = [0, 2, 3, 5, 5, 8, 10].
The type of values in indicesBuffer
indicesBuffer stores the location and size of the array that contains the column indices of the corresponding non-zero values. The type of index value is long.
For example, the indices of the above X is:
indices(X) = [1, 2, 2, 1, 3, 0, 2, 3, 1].
Note that the indices are sorted in lexicographical order for each row.
Trait Implementations
This method tests for self
and other
values to be equal, and is used
by ==
. Read more
This method tests for !=
.
Runs the verifier for this type, assuming its at position pos
in the verifier’s buffer.
Should not need to be called directly. Read more
Auto Trait Implementations
impl<'a> RefUnwindSafe for SparseMatrixIndexCSX<'a>
impl<'a> Send for SparseMatrixIndexCSX<'a>
impl<'a> Sync for SparseMatrixIndexCSX<'a>
impl<'a> Unpin for SparseMatrixIndexCSX<'a>
impl<'a> UnwindSafe for SparseMatrixIndexCSX<'a>
Blanket Implementations
Mutably borrows from an owned value. Read more