Struct arrow_ipc::gen::SparseTensor::SparseTensor

pub struct SparseTensor<'a> {
    pub _tab: Table<'a>,
}

Fields

_tab: Table<'a>

Implementations

impl<'a> SparseTensor<'a>

pub const VT_TYPE_TYPE: VOffsetT = 4u16

pub const VT_TYPE_: VOffsetT = 6u16

pub const VT_SHAPE: VOffsetT = 8u16

pub const VT_NON_ZERO_LENGTH: VOffsetT = 10u16

pub const VT_SPARSEINDEX_TYPE: VOffsetT = 12u16

pub const VT_SPARSEINDEX: VOffsetT = 14u16

pub const VT_DATA: VOffsetT = 16u16

pub unsafe fn init_from_table(table: Table<'a>) -> Self

pub fn create<'bldr: 'args, 'args: 'mut_bldr, 'mut_bldr>( _fbb: &'mut_bldr mut FlatBufferBuilder<'bldr>, args: &'args SparseTensorArgs<'args>, ) -> WIPOffset<SparseTensor<'bldr>>

pub fn type_type(&self) -> Type

pub fn type_(&self) -> Table<'a>

The type of data contained in a value cell. Currently only fixed-width value types are supported, no strings or nested types.

pub fn shape(&self) -> Vector<'a, ForwardsUOffset<TensorDim<'a>>>

The dimensions of the tensor, optionally named.

pub fn non_zero_length(&self) -> i64

The number of non-zero values in a sparse tensor.

pub fn sparseIndex_type(&self) -> SparseTensorIndex

pub fn sparseIndex(&self) -> Table<'a>

Sparse tensor index

pub fn data(&self) -> &'a Buffer

The location and size of the tensor’s data

pub fn type_as_null(&self) -> Option<Null<'a>>

pub fn type_as_int(&self) -> Option<Int<'a>>

pub fn type_as_floating_point(&self) -> Option<FloatingPoint<'a>>

pub fn type_as_binary(&self) -> Option<Binary<'a>>

pub fn type_as_utf_8(&self) -> Option<Utf8<'a>>

pub fn type_as_bool(&self) -> Option<Bool<'a>>

pub fn type_as_decimal(&self) -> Option<Decimal<'a>>

pub fn type_as_date(&self) -> Option<Date<'a>>

pub fn type_as_time(&self) -> Option<Time<'a>>

pub fn type_as_timestamp(&self) -> Option<Timestamp<'a>>

pub fn type_as_interval(&self) -> Option<Interval<'a>>

pub fn type_as_list(&self) -> Option<List<'a>>

pub fn type_as_struct_(&self) -> Option<Struct_<'a>>

pub fn type_as_union(&self) -> Option<Union<'a>>

pub fn type_as_fixed_size_binary(&self) -> Option<FixedSizeBinary<'a>>

pub fn type_as_fixed_size_list(&self) -> Option<FixedSizeList<'a>>

pub fn type_as_map(&self) -> Option<Map<'a>>

pub fn type_as_duration(&self) -> Option<Duration<'a>>

pub fn type_as_large_binary(&self) -> Option<LargeBinary<'a>>

pub fn type_as_large_utf_8(&self) -> Option<LargeUtf8<'a>>

pub fn type_as_large_list(&self) -> Option<LargeList<'a>>

pub fn type_as_run_end_encoded(&self) -> Option<RunEndEncoded<'a>>

pub fn sparseIndex_as_sparse_tensor_index_coo( &self, ) -> Option<SparseTensorIndexCOO<'a>>

pub fn sparseIndex_as_sparse_matrix_index_csx( &self, ) -> Option<SparseMatrixIndexCSX<'a>>

pub fn sparseIndex_as_sparse_tensor_index_csf( &self, ) -> Option<SparseTensorIndexCSF<'a>>

Trait Implementations

impl<'a> Clone for SparseTensor<'a>

fn clone(&self) -> SparseTensor<'a>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SparseTensor<'_>

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

Formats the value using the given formatter.

impl<'a> Follow<'a> for SparseTensor<'a>

type Inner = SparseTensor<'a>

unsafe fn follow(buf: &'a [u8], loc: usize) -> Self::Inner

Safety

impl<'a> PartialEq for SparseTensor<'a>

fn eq(&self, other: &SparseTensor<'a>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Verifiable for SparseTensor<'_>

fn run_verifier( v: &mut Verifier<'_, '_>, pos: usize, ) -> Result<(), InvalidFlatbuffer>

Runs the verifier for this type, assuming its at position pos in the verifier’s buffer. Should not need to be called directly.

impl<'a> Copy for SparseTensor<'a>

impl<'a> StructuralPartialEq for SparseTensor<'a>