Crate tensor4all_core 

Core tensor operations and types for tensor4all-rs.

This crate provides the foundational types and operations for tensor networks:

• Index types: DynIndex, Index, DynId for tensor indices
• Tag sets: TagSet, TagSetLike for metadata tagging
• Tensors: IdxTensor for dynamic-rank dense tensors
• Operations: Contraction, SVD, QR decomposition, factorization

Example

use tensor4all_core::{Index, DynIndex, IdxTensor};

// Create indices with dynamic identity
let i = Index::new_dyn(2);
let j = Index::new_dyn(3);

// Create a tensor
let data = vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0];
let t = IdxTensor::from_dense(vec![i.clone(), j.clone()], data).unwrap();

Re-exports

pub use col_major_array::ColMajorArray;

pub use col_major_array::ColMajorArrayMut;

pub use col_major_array::ColMajorArrayRef;

pub use self::matrixluci::MatrixLuciScalar;

pub use cached_function::cache_key::CacheKey;

pub use cached_function::error::CacheKeyError;

pub use cached_function::index_int::IndexInt;

pub use cached_function::CachedFunction;

pub use error::MatrixCIError;

pub use error::Result;

pub use floating_zone::floating_zone_walk;

pub use indexset::IndexSet;

pub use indexset::LocalIndex;

pub use indexset::MultiIndex;

pub use matrixaca::MatrixACA;

pub use matrixlu::rrlu;

pub use matrixlu::rrlu_mut;

pub use matrixlu::RrLU;

pub use matrixlu::RrLUOptions;

pub use scalar::Scalar;

pub use traits::AbstractMatrixCI;

pub use scalar::Scalar as CommonScalar;

pub use defaults::index;

pub use defaults::DefaultIndex;

pub use defaults::DefaultTagSet;

pub use defaults::DynId;

pub use defaults::DynIndex;

pub use defaults::Index;

pub use defaults::TagSet;

pub use index_like::sort_indices_deterministic;

pub use index_like::ConjState;

pub use index_like::IndexLike;

pub use index_ops::check_unique_indices;

pub use index_ops::common_ind_positions;

pub use index_ops::common_inds;

pub use index_ops::has_common_inds;

pub use index_ops::has_inds;

pub use index_ops::hasind;

pub use index_ops::noncommon_inds;

pub use index_ops::replace_indices;

pub use index_ops::replace_indices_mut;

pub use index_ops::union_inds;

pub use index_ops::unique_inds;

pub use index_ops::ReplaceIndsError;

pub use smallstring::SmallChar;

pub use smallstring::SmallString;

pub use smallstring::SmallStringError;

pub use tagset::Tag;

pub use tagset::TagSetError;

pub use tagset::TagSetLike;

pub use tensor_index::TensorIndex;

pub use defaults::idx_tensor as tensor;

pub use any_scalar::AnyScalar;

pub use any_scalar::AnyScalarError;

pub use defaults::idx_tensor::compute_permutation_from_indices;

pub use defaults::idx_tensor::diag_idx_tensor;

pub use defaults::idx_tensor::unfold_split;

pub use defaults::idx_tensor::IdxTensor;

pub use defaults::idx_tensor::IdxTensorError;

pub use defaults::idx_tensor::StructuredSelectorError;

pub use defaults::idx_tensor::TensorStorageError;

pub use tensor_like::Canonical;

pub use tensor_like::DirectSumResult;

pub use tensor_like::FactorizeAlg;

pub use tensor_like::FactorizeError;

pub use tensor_like::FactorizeOptions;

pub use tensor_like::FactorizeResult;

pub use tensor_like::LinearizationOrder;

pub use tensor_like::TensorConstructionLike;

pub use tensor_like::TensorContractionLike;

pub use tensor_like::TensorFactorizationLike;

pub use tensor_like::TensorLike;

pub use tensor_like::TensorVectorSpace;

pub use tensor_like::TensorVectorSpaceError;

pub use defaults::contract::contract;

pub use defaults::contract::contract_owned;

pub use defaults::contract::contract_owned_with_options;

pub use defaults::contract::contract_pair;

pub use defaults::contract::contract_pair_with_operand_options;

pub use defaults::contract::contract_pair_with_options;

pub use defaults::contract::contract_with_options;

pub use defaults::contract::outer_product;

pub use defaults::contract::print_and_reset_contract_profile;

pub use defaults::contract::reset_contract_profile;

pub use defaults::contract::tensordot;

pub use defaults::contract::ContractionOptions;

pub use defaults::contract::PairwiseContractionOptions;

pub use defaults::idx_tensor::print_and_reset_pairwise_contract_profile;

pub use defaults::idx_tensor::reset_pairwise_contract_profile;

pub use defaults::direct_sum::direct_sum;

pub use defaults::factorize::factorize;

pub use defaults::factorize::factorize_full_rank;

pub use defaults::qr::default_qr_rtol;

pub use defaults::qr::qr;

pub use defaults::qr::qr_with;

pub use defaults::qr::set_default_qr_rtol;

pub use defaults::qr::QrError;

pub use defaults::qr::QrOptions;

pub use defaults::svd::default_svd_truncation_policy;

pub use defaults::svd::set_default_svd_truncation_policy;

pub use defaults::svd::svd;

pub use defaults::svd::svd_with;

pub use defaults::svd::SvdError;

pub use defaults::svd::SvdOptions;

pub use global_default::GlobalDefault;

pub use global_default::InvalidRtolError;

pub use truncation::validate_svd_truncation_options;

pub use truncation::DecompositionAlg;

pub use truncation::InvalidThresholdError;

pub use truncation::SingularValueMeasure;

pub use truncation::SvdTruncationOptionsError;

pub use truncation::SvdTruncationPolicy;

pub use truncation::ThresholdScale;

pub use truncation::TruncationRule;

Modules

any_scalar

Dynamic scalar compatibility wrapper built on rank-0 IdxTensor.

block_tensor

Block tensor type for GMRES with block matrices.

cached_function

Cached function wrapper for expensive function evaluations.

col_major_array

N-dimensional column-major array types.

defaults

Default concrete type implementations.

direct_sum

Re-export of direct sum operations.

error

Error types for tensor4all-core.

factorize

Re-export of factorization operations.

floating_zone

Greedy coordinate-descent (floating-zone) search for high-error points.

global_default

Global default values with atomic access.

index_key

Bit-packed integer keys for multi-index maps. Bit-packed integer keys for multi-index maps.

index_like

IndexLike trait for abstracting index types.

index_ops

Index operations (replacement, set operations, contraction preparation).

indexset

Index set for managing ordered collections with bidirectional lookup.

krylov

Krylov subspace methods for solving linear equations with abstract tensors.

matrixaca

Adaptive Cross Approximation (ACA) implementation.

matrixlu

Rank-Revealing LU decomposition (rrLU) implementation.

matrixluci

Low-level LUCI / rrLU substrate.

prelude

Commonly used traits, types, and functions for tensor construction, contraction, and factorization.

qr

Re-export of QR decomposition operations.

scalar

Common scalar trait for matrix and tensor operations.

smallstring

Stack-allocated fixed-capacity string types for ITensors.jl compatibility.

svd

Re-export of SVD decomposition operations.

tagset

Tag set types for tensor metadata.

tensor_index

TensorIndex trait for index operations on tensor-like objects.

tensor_like

TensorLike trait for unifying tensor types.

traits

Abstract traits for matrix cross interpolation.

truncation

Truncation policy types for decomposition algorithms.

Macros

scalar_tests

Macro to generate f64 and Complex64 test variants from a generic test function.

Structs

MatrixLUCI

Matrix LU-based Cross Interpolation.

MatrixLuciFactors

High-level factors produced by MatrixLUCI.

Traits

TensorElement

Public scalar element types supported by tensor4all dense/diag constructors.

Functions

matrix_luci_factors_from_blocks

Factorize a lazily supplied matrix with MatrixLUCI block-rook search.

matrix_luci_factors_from_matrix

Factorize a dense matrix with MatrixLUCI.

matrix_luci_factors_from_matrix_owned

Factorize a dense matrix with MatrixLUCI while consuming the input matrix.

print_and_reset_native_einsum_profile

Print and clear the aggregated native einsum profile.

reset_native_einsum_profile

Reset the aggregated native einsum profile.