Module defaults 

Default concrete type implementations.

This module provides the default concrete types for tensor network operations:

• DynId: Runtime identity (UUID-based unique identifier)
• TagSet: Tag set for metadata (Arc-wrapped for cheap cloning)
• Index: Generic index type (Index<Id, Tags>)
• DynIndex: Default index type (Index<DynId, TagSet>)
• TensorDynLen: Dense tensor with dynamic rank

Linear algebra operations:

• svd::svd: Singular Value Decomposition
• qr::qr: QR decomposition
• factorize::factorize: Unified factorization interface
• direct_sum::direct_sum: Direct sum of tensors

These types are suitable for most tensor network applications and provide a good balance of flexibility and performance.

Re-exports

pub use contract::build_diag_union;

pub use contract::collect_sizes;

pub use contract::contract_connected;

pub use contract::contract_multi;

pub use contract::print_and_reset_contract_profile;

pub use contract::remap_output_ids;

pub use contract::remap_tensor_ids;

pub use contract::reset_contract_profile;

pub use contract::AxisUnionFind;

pub use index::DefaultIndex;

pub use index::DefaultTagSet;

pub use index::DynId;

pub use index::DynIndex;

pub use index::Index;

pub use index::TagSet;

pub use tensordynlen::compute_permutation_from_indices;

pub use tensordynlen::diag_tensor_dyn_len;

pub use tensordynlen::unfold_split;

pub use tensordynlen::RandomScalar;

pub use tensordynlen::TensorAccess;

pub use tensordynlen::TensorDynLen;

pub use direct_sum::direct_sum;

pub use factorize::factorize;

pub use factorize::Canonical;

pub use factorize::FactorizeAlg;

pub use factorize::FactorizeError;

pub use factorize::FactorizeOptions;

pub use factorize::FactorizeResult;

pub use qr::default_qr_rtol;

pub use qr::qr;

pub use qr::qr_with;

pub use qr::set_default_qr_rtol;

pub use qr::QrError;

pub use qr::QrOptions;

pub use svd::default_svd_rtol;

pub use svd::set_default_svd_rtol;

pub use svd::svd;

pub use svd::svd_with;

pub use svd::SvdError;

pub use svd::SvdOptions;

Modules

contract

Multi-tensor contraction with optimal contraction order.

direct_sum

Direct sum operations for tensors.

factorize

Unified tensor factorization module.

index

Index types for tensor network operations.

qr

QR decomposition for tensors.

svd

SVD decomposition for tensors.

tensordynlen

Dynamic-length tensor implementation.