Enum tc_collection::tensor::Sparse

pub enum Sparse<Txn, FE> {
    Base(SparseBase<Txn, FE>),
    View(SparseView<Txn, FE>),
}

A sparse Tensor

Variants

Base(SparseBase<Txn, FE>)

View(SparseView<Txn, FE>)

Implementations

impl<Txn, FE> Sparse<Txn, FE>

pub fn into_view(self) -> SparseView<Txn, FE>

Trait Implementations

impl<Txn, FE> Clone for Sparse<Txn, FE>

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<Txn: ThreadSafe, FE: ThreadSafe> Debug for Sparse<Txn, FE>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<Txn, FE> From<Sparse<Txn, FE>> for SparseView<Txn, FE>

fn from(sparse: Sparse<Txn, FE>) -> Self

Converts to this type from the input type.

impl<Txn, FE> From<Sparse<Txn, FE>> for Tensor<Txn, FE>

fn from(sparse: Sparse<Txn, FE>) -> Self

Converts to this type from the input type.

impl<Txn, FE> From<SparseView<Txn, FE>> for Sparse<Txn, FE>

fn from(view: SparseView<Txn, FE>) -> Self

Converts to this type from the input type.

impl<Txn: ThreadSafe, FE: ThreadSafe> Instance for Sparse<Txn, FE>

type Class = TensorType

The Class type of this instance

fn class(&self) -> Self::Class

Returns the [Class] of this instance.

impl<'en, Txn, FE> IntoView<'en, FE> for Sparse<Txn, FE>

where Txn: Transaction<FE>, FE: DenseCacheFile + AsType<Node> + Clone,

type Txn = Txn

The type of Transaction which this state supports

type View = SparseView

The type of encodable view returned by into_view

fn into_view<'async_trait>( self, txn: Self::Txn ) -> Pin<Box<dyn Future<Output = TCResult<SparseView>> + Send + 'async_trait>>

where Self: 'async_trait,

Return a View which can be encoded with en::IntoStream.

impl<State> Route<State> for Sparse<State::Txn, State::FE>

where State: StateInstance + From<Tensor<State::Txn, State::FE>> + From<Tuple<Value>>, State::Class: From<NumberType>, State::FE: DenseCacheFile + AsType<Node>, Tensor<State::Txn, State::FE>: TryCastFrom<State>, Number: TryCastFrom<State>, Value: TryCastFrom<State>, bool: TryCastFrom<State>,

fn route<'a>( &'a self, path: &'a [PathSegment] ) -> Option<Box<dyn Handler<'a, State> + 'a>>

impl<Txn: ThreadSafe, FE: ThreadSafe> TensorInstance for Sparse<Txn, FE>

fn dtype(&self) -> NumberType

fn shape(&self) -> &Shape

fn ndim(&self) -> usize

fn size(&self) -> u64

fn schema(&self) -> Schema

impl<Txn: Transaction<FE>, FE: DenseCacheFile + AsType<Node>> TensorRead for Sparse<Txn, FE>

fn read_value<'async_trait>( self, txn_id: TxnId, coord: Coord ) -> Pin<Box<dyn Future<Output = TCResult<Number>> + Send + 'async_trait>>

where Self: 'async_trait,

Read a single value from this Tensor.

impl<Txn: Transaction<FE>, FE: DenseCacheFile + AsType<Node>> TensorWrite for Sparse<Txn, FE>

fn write_value<'life0, 'async_trait>( &'life0 self, txn_id: TxnId, range: Range, value: Number ) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Write a single value to the slice of this Tensor with the given Range.

fn write_value_at<'life0, 'async_trait>( &'life0 self, txn_id: TxnId, coord: Coord, value: Number ) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait,

Overwrite a single element of this Tensor.

impl<Txn, FE> TensorWriteDual<Sparse<Txn, FE>> for Sparse<Txn, FE>

where Txn: Transaction<FE>, FE: DenseCacheFile + AsType<Node> + Clone,

fn write<'async_trait>( self, txn_id: TxnId, range: Range, value: Self ) -> Pin<Box<dyn Future<Output = TCResult<()>> + Send + 'async_trait>>

where Self: 'async_trait,

Overwrite the slice of this Tensor given by Range with the given value.