Crate ariadnetor_tensor 

Tensor storage library

Provides backend-agnostic data structures for tensor storage and the user-facing Tensor<St, L> type that joins them. The tensor carries no backend; operations take it explicitly at the call site.

Structs

BlockCoord

N-dimensional block coordinate.

BlockMeta

Metadata for a single block within a block-sparse tensor.

BlockSparseLayout

Interpretation half of the block-sparse tensor split.

BlockSparseStorage

Pure-data half of the block-sparse tensor split.

Complex

A complex number in Cartesian form.

ContractionPlan

Contraction plan identifying batch, contracted, and free indices for a 2-input einsum.

DenseLayout

Interpretation half of the dense tensor split.

DenseStorage

Pure-data half of the dense tensor split.

EinsumExpr

Parsed einsum expression with N inputs (indices as ASCII codes)

NativeBackend

Native backend using faer for GEMM and, with the hptt feature, HPTT for transpose (a naive kernel otherwise).

QNIndex

Quantum-number index for one tensor leg.

Tensor

Tensor wrapping a TensorData bundle.

TensorData

Joined storage + layout bundle.

U1Sector

U(1) symmetry sector (integer charge).

Z2Sector

Z₂ symmetry sector (values 0 or 1).

Enums

ContractionError

Error raised while parsing or validating an Einstein-notation contraction.

Direction

Leg direction for flux computation (see each variant).

MemoryOrder

Memory layout order for tensor data.

TensorError

Errors raised by tensor construction and manipulation.

Traits

ComputeBackend

Pluggable compute backend trait

ComputeBackendTensorExt

Extension trait for backend-aware tensor construction.

OpsFor

Compile-time marker: backend Self supports operations on storage flavor St. Implemented selectively per (backend, storage) pair, so a backend that cannot operate on a given storage simply omits the impl.

Scalar

Scalar type for tensor elements (sealed trait).

Sector

Abelian symmetry sector.

Storage

Pure-data tensor element container.

StorageFor

Compatibility marker between a Storage and a TensorLayout.

TensorLayout

Interpretation metadata for a paired Storage buffer.

Functions

add_all

Sum of dense tensors (all coefficients = 1).

compute_permutation

Compute permutation from current to target order

flat_index

Compute flat index for given coordinates in the specified memory order.

linear_combine

Linear combination of dense tensors: Σ_i coefs[i] * tensors[i].

normalize_to_data

Normalize a DenseTensorData<T>’s memory order to target, with Cow::Borrowed when the tensor is already in the target order.

reorder_data

Reorder a DenseTensorData<T> to the requested memory layout.

Type Aliases

BlockSparseTensor

BlockSparse tensor alias.

BlockSparseTensorData

Backend-less BlockSparse tensor bundle = TensorData<BlockSparseStorage<T>, BlockSparseLayout<S>>.

DenseTensor

Dense tensor alias.

DenseTensorData

Backend-less Dense tensor bundle = TensorData<DenseStorage<T>, DenseLayout>.

Host

The default host compute substrate, aliased so signatures name it through one stable alias rather than spelling the concrete backend type; repointing the substrate is then a one-line change.