[mtfishman]

Summary

conj of a named tensor backed by an AbstractArray now returns a lazy conjugate that contraction, permutation and matricization absorb, so a conjugated operand such as a bra tensor in a norm network is never copied. TensorMap-backed tensors still conjugate eagerly.

TODO

• Remove the [sources] pins and move GradedArrays back to [weakdeps] once [WIP] Add a lazy ConjArray absorbed by permutation, matricize and contraction TensorAlgebra.jl#245 and [WIP] Support lazily conjugated graded arrays GradedArrays.jl#295 register
• Check downstream for code that writes into the result of conj, which is now a read-only view

[codecov]

Codecov Report

❌ Patch coverage is 0% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 32.70%. Comparing base (bcc8f21) to head (b2f7eff).

Files with missing lines	Patch %	Lines
src/abstractnamedtensor.jl	0.00%	3 Missing ⚠️

❗ There is a different number of reports uploaded between BASE (bcc8f21) and HEAD (b2f7eff). Click for more details.

HEAD has 15 uploads less than BASE

Flag	BASE (bcc8f21)	HEAD (b2f7eff)
docs	4	1
	12	0

Additional details and impacted files

@@             Coverage Diff             @@
##             main     #278       +/-   ##
===========================================
- Coverage   82.61%   32.70%   -49.92%     
===========================================
  Files          21       20        -1     
  Lines        1467     1428       -39     
===========================================
- Hits         1212      467      -745     
- Misses        255      961      +706     

Flag	Coverage Δ
docs	32.70% <0.00%> (-0.05%)	⬇️

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