[−][src]Struct arrow::ipc::gen::SparseTensor::SparseMatrixIndexCSX
Compressed Sparse format, that is matrix-specific.
Fields
_tab: Table<'a>
Implementations
impl<'a> SparseMatrixIndexCSX<'a>
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pub fn init_from_table(table: Table<'a>) -> Self
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pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>(
_fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>,
args: &'args SparseMatrixIndexCSXArgs<'args>
) -> WIPOffset<SparseMatrixIndexCSX<'bldr>>
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_fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>,
args: &'args SparseMatrixIndexCSXArgs<'args>
) -> WIPOffset<SparseMatrixIndexCSX<'bldr>>
pub const VT_COMPRESSEDAXIS: VOffsetT
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pub const VT_INDPTRTYPE: VOffsetT
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pub const VT_INDPTRBUFFER: VOffsetT
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pub const VT_INDICESTYPE: VOffsetT
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pub const VT_INDICESBUFFER: VOffsetT
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pub fn compressedAxis(&self) -> SparseMatrixCompressedAxis
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Which axis, row or column, is compressed
pub fn indptrType(&self) -> Option<Int<'a>>
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The type of values in indptrBuffer
pub fn indptrBuffer(&self) -> Option<&'a Buffer>
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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].
pub fn indicesType(&self) -> Option<Int<'a>>
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The type of values in indicesBuffer
pub fn indicesBuffer(&self) -> Option<&'a Buffer>
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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
impl<'a> Clone for SparseMatrixIndexCSX<'a>
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fn clone(&self) -> SparseMatrixIndexCSX<'a>
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fn clone_from(&mut self, source: &Self)
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impl<'a> Copy for SparseMatrixIndexCSX<'a>
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impl<'a> Debug for SparseMatrixIndexCSX<'a>
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impl<'a> Follow<'a> for SparseMatrixIndexCSX<'a>
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impl<'a> PartialEq<SparseMatrixIndexCSX<'a>> for SparseMatrixIndexCSX<'a>
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fn eq(&self, other: &SparseMatrixIndexCSX<'a>) -> bool
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fn ne(&self, other: &SparseMatrixIndexCSX<'a>) -> bool
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impl<'a> StructuralPartialEq for SparseMatrixIndexCSX<'a>
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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
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T> From<T> for T
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
fn to_owned(&self) -> T
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fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,