bitshuffle_hperf is an x86-only implementation - its entire vector body sits behind
__i386__/__x86_64__, so on aarch64 every entry point compiles down to the scalar
fallback. Measured against its own SIMD path that costs 8.3x on encode and 3.8x on
decode, and it is the transform behind every compressed image the writer produces and
every one the reader, preview and XDS plugin take apart again.
The classic bitshuffle vendored beside it does have an aarch64 NEON path, and is already
compiled into the same target, so this costs nothing new. BitShuffleBlock.h picks
bshuf_trans_bit_elem/bshuf_untrans_bit_elem there and keeps bitshuf_encode_block /
bitshuf_decode_block everywhere else, where hperf is about twice classic SSE2 and remains
the better choice. The expected aarch64 gain is ~2.5x encode / ~1.7x decode: classic NEON
is 128-bit and carries an extra pass, so it recovers part of the gap rather than all of
it. The condition mirrors USEARMNEON in bitshuffle_core.c exactly, because with NEON off
the classic scalar path is slower than hperf's and must not be selected.
Swapping implementations is only safe while the two agree bit for bit - otherwise an ARM
build would write files an x86 build could not read. They do: verified byte-identical
output and mutual cross-decoding for elem_size 1/2/4/8 over block sizes from 8 to 65536
elements. Both are always compiled in, so the new test holds them to it on every
architecture, not just the one that would notice.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use.
* rugnux: Add `--model model.pdb` - score the merged data against an atomic model and compute initial maps. It reports R-work/R-free (scaling the model to the observed amplitudes with an overall scale, an anisotropic B and a flat bulk solvent - the standard few-parameter model, so a batch of maps stays directly comparable) and writes 2Fo-Fc / Fo-Fc electron-density maps (CCP4) plus a map-coefficient MTZ. The structure itself is not refined; the model is only re-fractionalised into the data cell.
* rugnux: The merged reflection output now carries French-Wilson amplitudes (|F| and its sigma) next to the intensities - MTZ `F`/`SIGF`, mmCIF `_refln.F_meas_au`, and the text HKL - computed with the correct centric/acentric Wilson prior and epsilon multiplicity, so a downstream program (e.g. phenix.refine) can refine against amplitudes. The intensity columns are unchanged.
* rugnux: R-free test-set flags are now assigned deterministically and consistently across symmetry - a Bijvoet pair I(+)/I(-) is never split between the work and free sets, and the assignment is a reproducible per-hkl hash that depends only on the reflection index, so every dataset of one crystal form gets the same ~5% free set (what a multi-dataset campaign such as PanDDA needs). On small data the fraction is floored so the test set stays large enough for a stable R-free (~500 reflections, capped at 10%); it stays flat at 5% on ordinary data. When a reference MTZ carries a `FreeR_flag` column its test set is imported instead, letting a whole campaign inherit one shared free set.
* rugnux: A reference MTZ (`--reference-mtz`) can now fix the space group and cell for rotation data too (previously rejected), without being used to scale - the rotation merge stays self-consistent. When the crystal has an indexing (merohedral) ambiguity - a lattice symmetry higher than its Laue symmetry, e.g. P3/P4/P6/C2 - the reference also resolves it: each candidate reindexing (identity plus the twin-law cosets of the metric symmetry) is scored by its intensity correlation against the reference and the data are re-merged in the best-correlating one. This is a metric-preserving relabelling of hkl (the cell is unchanged) and a no-op for a holohedral crystal such as lysozyme.
* rugnux: `--model` validation now aligns the data to the model before scoring - the observed reflections are reindexed into the model's enantiomorph when the two differ only by hand (indistinguishable from merged intensities). A merohedral indexing ambiguity is resolved against the reference MTZ when one is given (so a whole campaign shares one indexing convention); only with a model and no reference does validation fall back to fitting each candidate reindexing and keeping the lowest R-free.
* rugnux: De-novo symmetry - recover a genuine high-symmetry group whose data are imperfectly scaled. Such a merge's within-orbit chi² lands just past the self-consistency bound (each real symmetry step adds a little systematic scatter), right where a merohedral twin also lands, so the chi² ratio alone cannot separate them. The candidate is now rescued when the extra intensity-proportional systematic error it invokes stays small relative to the confirmed subgroup - a genuine symmetry step gains multiplicity without inflating the merge error model's b, whereas a twin forces non-equivalent reflections together and b balloons. Fixes cubic insulin (I23 instead of I222) with no change to any other crystal in the test battery, including the twins that must stay in their lower symmetry.
* Docs: Document the French-Wilson amplitude estimation, R-free flagging, reference-based space-group/ambiguity resolution, and model-based validation/maps in CPU_DATA_ANALYSIS.md.
* Frontend: The status-bar pill now shows a progress bar during detector calibration (previously only during measurement), and the calibration state and its button are labelled "Calibration"/"CALIBRATE" (the internal `Pedestal` state name is unchanged for back-compatibility).Reviewed-on: #70
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This is an UNSTABLE release. It includes many experimental features, as well as many AI generated fixes. We recommend using rc.152 for production use.
* jfjoch_process: Major rotation (rot3d) data processing overhaul - robust profile-fit integration, Cauchy-loss scaling with optional absorption surface, de-novo indexing and space-group/centering determination fixes, and merging statistics + ISa in the mmCIF output.
* jfjoch_process: Add EXPERIMENTAL ice-ring detection (--detect-ice-rings) that excludes ice reflections from scaling.
* Compression: Add BSHUF_ZSTD_RLE_HUFF, make compression size-aware (drop frames that don't fit rather than aborting), and add the jfjoch_recompress tool.
* jfjoch_viewer: Report "Multiple lattices detected" and grey out "Analyze dataset" on a live connection.
* jfjoch_broker: Write smargon chi/phi goniometer positions to NXmx; read sensor thickness/material from HDF5 metadata.
* CI: Build Windows (CUDA and non-CUDA) installers.Reviewed-on: #66
Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
leonarski_fandClaude Opus 5