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Merge the two-tier `permute!`/`add_permute!` pattern into a single tier: `permute!`, `braid!`, `transpose!`, and `repartition!` now directly accept optional `α`, `β`, `backend`, and `allocator` arguments with sensible defaults (One(), Zero(), DefaultBackend(), DefaultAllocator()), matching TensorOperations convention. The old `add_permute!`, `add_braid!`, and `add_transpose!` are deprecated wrappers that emit `Base.depwarn` and forward to the new functions. The `allocator` kwarg is fully threaded through the internal call chain (`add_transform!`, all kernel functions, and `allocate_buffers`). Mooncake AD rules are updated to use the new function names. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replace single-method-with-variadics (`backend::AbstractBackend...`) with the TensorOperations-style dispatch chain: four separate overloads per in-place function inserting One()/Zero(), DefaultBackend(), and DefaultAllocator() successively so that the full 7-arg form is the implementation endpoint. Move `allocator` from keyword to positional argument throughout the internal chain (`add_transform!`, all kernel functions, `allocate_buffers`). Non-inplace functions (`permute`, `braid`, `transpose`, `repartition`) gain `backend` as a new keyword alongside the existing `allocator` keyword, keeping the user-facing API ergonomic. Docstrings updated to use TO-style bracket notation showing optional arguments. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
This PR overhauls the index manipulation API in
src/tensors/indexmanipulations.jlto match TensorOperations dispatch conventions, reduces code duplication in the implementation, and adds a dedicated documentation page.The goal was a bunch of code simplification, (overall number of lines reduced, even though I added some docs 🎉 )
API changes
permute!,braid!,transpose!, andrepartition!now directly acceptα,β,backend, andallocatoras optional arguments (with defaultsOne(),Zero(),DefaultBackend(),DefaultAllocator()), following the TensorOperations dispatch pattern. The oldadd_permute!,add_braid!, andadd_transpose!are deprecated and forward to the new functions.allocatorsupport: previously, the index manipulation functions did not support a customallocatorat all. It is now a positional argument in both the public and internal interfaces, consistent with TensorOperations convention.permute,braid,transpose,repartition) gainbackendas a new keyword argument alongside the now-supportedallocatorkeyword.twist!added: new in-place variant oftwist.Implementation changes
braid!, eliminating duplicate codepaths.braid!method added forAdjointTensorMap.add_transform!kernels forTensorMaprefactored to operate on the raw data vector rather than the fullTensorMap. Because the data vector has a concrete type, this avoids recompilation for everyTensorMaptype combination, improving compilation time.Documentation
docs/src/man/indexmanipulations.mdwith a structured overview categorising operations into: reweighting (flip,twist), space insertion/removal (insertleftunit,insertrightunit,removeunit), and index rearrangements (permute,braid,transpose,repartition).