ResultTensorOfTensorTA: outer tile of "regular" companion array must be TA::Tensor#515
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Drop EvalDetailBinary; collapse to a single Eval line per op, with optional left/right populated only for Sum/Product. Add an alloc field that distinguishes fresh-allocation ops from SumInplace (alloc=0B), so summing the column gives total bytes allocated and `grep alloc=0B` isolates inplace ops. Fix hwmark undercounts in Permute and SumInplace for cached inputs whose canon_phase != 1 or that the permute wrapper turned into a fresh buffer — previously these silently biased hw down.
Replace the sequant.nu helper with sequant_trace.py — a stdlib-only parser exposing trace_eval/trace_cache/trace_term plus a one-pass parse() that returns NamedTuple rows (EvalRow/CacheRow/TermRow with an extras dict for unrecognized fields). Rewrite evaluation.rst with Python recipes and regenerated example outputs that reflect the new trace columns (alloc, hw, left/right) and the per-mode field-population rules. Add a note that the parser is iteration-blind: callers must slice rows by line range or term before aggregating across repeated contexts (the sample mpqc_out.txt is capped at one iteration for this reason).
…n array The "regular" (non-nested) companion array used in ToT * T einsum contractions had its outer tile set to the *inner* tile type of the input ToT array. For TA-inner ToT that happens to work (TA::Tensor is a valid outer tile too), but for btas-inner ToT it produced a DistArray<btas::Tensor, ...> whose tile lacks the outer-tile API einsum needs (permute/reshape/batch/...). The outer tile must always be TA::Tensor; inner-tile types like btas::Tensor are *inner-only*. Fix compatible_regular_distarray_type to wrap the inner's numeric type in TA::Tensor. Also bumps the TiledArray pin to the version that lifts the matching TA-side restrictions (ValeevGroup/tiledarray#546).
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…n array The "regular" (non-nested) companion array used in ToT * T einsum contractions had its outer tile set to the *inner* tile type of the input ToT array. For TA-inner ToT that happens to work (TA::Tensor is a valid outer tile too), but for btas-inner ToT it produced a DistArray<btas::Tensor, ...> whose tile lacks the outer-tile API einsum needs (permute/reshape/batch/...). The outer tile must always be TA::Tensor; inner-tile types like btas::Tensor are *inner-only*. Fix compatible_regular_distarray_type to wrap the inner's numeric type in TA::Tensor. Also bumps the TiledArray pin to the version that lifts the matching TA-side restrictions (ValeevGroup/tiledarray#546).
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Test plan