docs: 0.3.0 release plan (tracker #48) - #81
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Five waves, each independently shippable behind its own optional extra. Tracked in #48 with a sub-issue per task. Decisions recorded up front, because each one shapes the code: - spyde/models/ is already the neural disk detector, so the HyperSpy model port lives in spyde/fitting/. Unrelated meanings of "model". - exspy/kikuchipy/atomap ship as optional extras gated by a new requires_package key, mirroring requires_vectors. - The fitting engine is a batched GPU Levenberg-Marquardt over the whole nav grid (the vector_orientation_gpu.py playbook), with SAMFire's neighbour-seeding kept as the seed source rather than the scheduler. Measured baseline that motivates it: multifit on 1024 spectra x 1024 channels runs 10.83 s = 95 spectra/s single-threaded, which extrapolates to 11.6 min for a 256x256 SI. Parity with multifit is the acceptance test, not convergence. Also found while measuring: numexpr is not installed, so every hyperspy Expression component silently falls back to numpy.
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The plan behind the 0.3.0 tracker and its 32 sub-issues, which all link here.
Five waves, each independently shippable behind its own optional extra:
eelsebsdatomsDocs only — no code changes.
Decisions worth a look before the waves start
spyde/models/is already taken by the neural disk detector, so the HyperSpy model port lives inspyde/fitting/.exspy,kikuchipy,atomap— none installed today) gated by a newrequires_packagekey mirroringrequires_vectors.The number that motivates Wave 1
multifiton 1024 spectra × 1024 channels: 10.83 s = 95 spectra/s, single-threaded → 11.6 min for a 256×256 SI. Parity withmultifitis the acceptance test, not convergence.Also found while measuring:
numexpris not installed, so every hyperspyExpressioncomponent silently falls back to numpy. Fixed in Wave 0.