v1.0.0.rc-162 (#72)
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**Files written by Jungfraujoch now import correctly in DIALS, XDS and pyFAI.** A tilted detector, a grid scan, a still recorded at a goniometer position, and saturated or unreadable pixels were each described in a way that a third-party program acted on wrongly. If you process Jungfraujoch data outside Jungfraujoch, prefer this release to any earlier one. * HDF5: the detector tilt (`rot1`/`rot2`/`rot3`) is exported correctly in the NXmx transformation chain; untilted geometries are unaffected. * HDF5: a still recorded at a goniometer position is no longer read back as a single image, and a grid scan records a stationary spindle so a program that requires a rotation axis can open it. * HDF5: the sample transformation chain is written in mounting order, with a Smargon head position told apart from the spindle, one entry per image, `module_offset` as a float unit vector, and `offset_units` on every offset. * HDF5: saturated, underloaded and unreadable pixels are described so a downstream program masks them - `saturation_value`, `underload_value`, `error_value` and `bit_depth_readout` are written correctly, and a data file missing next to a VDS master reads as the error marker rather than as zero counts. * HDF5: the rotation axis is read back under whatever name it carries, and `mirror_y` records whether the assembled image is mirrored in Y relative to the detector's raw readout. * A grid scan and a goniometer axis can both be set; they are no longer alternatives. * `images_per_file` is chosen from the acquisition when it is not given: a rotation sweep of at most 20000 images goes into a single data file, a grid scan splits on whole fast-axis rows, and stills and serial keep 1000. * The writer refuses a stream whose start message declares a different pixel format than its images carry, and a DECTRIS detector sending signed images is no longer declared unsigned. * The image stream can carry the sample transformation chain (`transformations`, in the END message); a producer that does not send it gets the same chain built by the writer. * rugnux: fixing the space group with `-S` no longer prevents the lattice from being found - a lattice indexed in a different setting is reindexed into that group's own setting, and a run whose crystal does not have that group's lattice stops and names the cell it indexed as, rather than reporting statistics that cannot describe it. * rugnux: the per-image resolution estimate now predicts the resolution the merged data reach rather than the highest-resolution spot found, and is reported as `SPOT_RESOLUTION_ESTIMATE`. * rugnux: two runs of the same command on the same images produce the same merged intensities; the azimuthal profile written alongside them is not yet reproducible in the same way. * rugnux: the offline lattice refinement is bounded by iterations rather than by a wall clock, so a loaded machine can no longer refine to a different lattice; a live acquisition keeps its real-time bound. * rugnux: the detector-frame modulation correction is fitted on a grid spanning the detector, so whether it is applied no longer depends on how far integration reached. * rugnux: the geometry pre-pass no longer writes `<prefix>_01.mtz`, `_01.cif`, `_01.hkl` and `_01_image.dat`; the refined second pass writes those files under `<prefix>`, and that is the result to use. * rugnux: `_process.h5` describes the pixel format of the images it links to, and is written on a thread of its own. * rugnux: the detector geometry is also logged in XDS's convention (`ORGX`/`ORGY`, detector axis vectors, rotation axis), so it can be compared with an XDS refinement. * rugnux: an image integrated in pyFAI through the `.poni` file written by `--mode calibration` comes out with the correct azimuth, and the file declares pyFAI's `orientation`, which needs pyFAI 2024.01 or newer. Radial integration is unchanged. * rugnux: a rotation run is substantially faster throughout - beam-stop detection, first-pass indexing, geometry refinement, integration, scaling and merging - and observations outside the scaling resolution range are dropped as they are ingested. The refined geometry, the space group chosen and the merged statistics are unchanged. * Faster spot finding and indexing, on the broker as well as in rugnux; the spots found and the lattices indexed are unchanged. * A run reserves substantially less GPU memory: nothing is allocated for buffers that are never read, and a worker builds only the engines it uses. * rugnux: with `-N` left at its default the per-image loop of `--mode mx` uses at most 16 workers per GPU, rather than one per hardware thread; an explicit `-N` is obeyed as given. * CUDA 12 builds now contain device code for Volta, so the RHEL 8 packages and the portable Linux `.tgz` run on a V100; the CUDA 13 artefacts (RHEL 9, Ubuntu, Windows) remain Turing and newer. * The build resolves a single Eigen for the whole project, and refuses to configure if Ceres picks up a different one; a build that mixed two Eigen versions was undefined behaviour and crashed at -O2. * Documentation: a security page, and the supported GPU generations and minimum NVIDIA driver version of every released artefact. **Breaking change to OpenAPI** - regenerate the client (`jfjoch-client` 1.0.0-rc.162, `frontend/src/client`): * `dataset_settings.images_per_file` is no longer `default: 1000` and no longer accepts `0`; it is optional, and its minimum is 1. A client sending `0` (previously "one file for the whole run") is now rejected - omit the field instead, which for a rotation sweep gives the same single file. * `file_writer_format` now defaults to `NXmxVDS`, matching the server's own default and the layout recommended for DIALS, XDS and CrystFEL. A generated client that fills in schema defaults and does not set the format explicitly will write VDS masters where it previously wrote legacy ones; set `NXmxLegacy` explicitly to keep them. --------- Co-authored-by: jungfrau <jungfrau@mx-aare-test.psi.ch> Reviewed-on: #72 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
This commit was merged in pull request #72.
This commit is contained in:
@@ -5,6 +5,7 @@
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#include "scale_merge/Merge.h"
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#include "scale_merge/HKLKey.h"
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#include "scale_merge/TwinningAnalysis.h"
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#include "../common/ParallelFor.h"
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#include <algorithm>
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#include <cmath>
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@@ -150,7 +151,8 @@ void WriteMmcifReflections(const std::vector<MergedReflection> &reflections,
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const MergeStatistics &statistics,
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const ErrorModelReport &error_model,
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const TwinningAnalysisResult &twinning,
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const std::string &filename) {
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const std::string &filename,
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size_t nthreads) {
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std::ofstream out(filename);
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if (!out)
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@@ -332,25 +334,50 @@ void WriteMmcifReflections(const std::vector<MergedReflection> &reflections,
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out << "_refln.status_free\n";
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out << "_refln.status\n";
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for (const auto& r : reflections) {
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out << std::setw(5) << r.h << " "
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<< std::setw(5) << r.k << " "
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<< std::setw(5) << r.l << " "
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<< std::setw(14) << Fmt(r.I, 4) << " "
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<< std::setw(14) << Fmt(r.sigma, 4) << " "
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<< std::setw(14) << Fmt(r.I_plus, 4) << " "
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<< std::setw(14) << Fmt(r.sigma_plus, 4) << " "
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<< std::setw(14) << Fmt(r.I_minus, 4) << " "
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<< std::setw(14) << Fmt(r.sigma_minus, 4) << " "
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<< std::setw(14) << Fmt(r.F, 4) << " "
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<< std::setw(14) << Fmt(r.sigmaF, 4) << " "
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<< std::setw(14) << Fmt(r.F_plus, 4) << " "
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<< std::setw(14) << Fmt(r.sigmaF_plus, 4) << " "
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<< std::setw(14) << Fmt(r.F_minus, 4) << " "
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<< std::setw(14) << Fmt(r.sigmaF_minus, 4) << " "
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<< (r.rfree_flag ? 1 : 0) << " "
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<< "o" // 'o' = observed
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<< "\n";
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// One row per unique reflection, twelve formatted floats each - tens of megabytes on a crowded
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// crystal, and the largest single-threaded stretch left in a run. Nothing about a row depends on
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// any other, so each worker formats its own block into its own string and the blocks go to the
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// file in order. The columns are written exactly as the stream wrote them: the same "%.4f" (or
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// "?" where the value is not finite), right-aligned in the same width.
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{
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const size_t nrow = reflections.size();
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const size_t nw = std::max<size_t>(nthreads, 1);
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const int nch = static_cast<int>(ThreadsForWork(nrow, nw, 4096));
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std::vector<std::string> block(nch);
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ParallelChunks(nch, nw, [&](int tlo, int thi) {
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for (int t = tlo; t < thi; ++t) {
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const size_t lo = nrow * t / nch, hi = nrow * (t + 1) / nch;
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std::string &s = block[t];
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s.reserve((hi - lo) * 208);
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const auto column = [&s](const std::string &v, size_t width) {
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if (v.size() < width) s.append(width - v.size(), ' ');
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s.append(v);
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s.push_back(' ');
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};
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for (size_t i = lo; i < hi; ++i) {
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const auto &r = reflections[i];
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column(std::to_string(r.h), 5);
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column(std::to_string(r.k), 5);
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column(std::to_string(r.l), 5);
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column(Fmt(r.I, 4), 14);
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column(Fmt(r.sigma, 4), 14);
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column(Fmt(r.I_plus, 4), 14);
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column(Fmt(r.sigma_plus, 4), 14);
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column(Fmt(r.I_minus, 4), 14);
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column(Fmt(r.sigma_minus, 4), 14);
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column(Fmt(r.F, 4), 14);
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column(Fmt(r.sigmaF, 4), 14);
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column(Fmt(r.F_plus, 4), 14);
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column(Fmt(r.sigmaF_plus, 4), 14);
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column(Fmt(r.F_minus, 4), 14);
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column(Fmt(r.sigmaF_minus, 4), 14);
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s.push_back(r.rfree_flag ? '1' : '0');
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s.append(" o\n"); // 'o' = observed
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}
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}
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});
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for (const std::string &s : block)
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out.write(s.data(), static_cast<std::streamsize>(s.size()));
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}
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out << "#\n";
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@@ -435,7 +462,8 @@ void WriteMtzReflections(const std::vector<MergedReflection> &reflections,
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void WriteShelxHklReflections(const std::vector<MergedReflection> &reflections,
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const DiffractionExperiment &experiment,
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const std::string &filename) {
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const std::string &filename,
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size_t nthreads) {
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bool has_anom = true;
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const std::vector<MergedOutRow> rows = BuildMergedRows(reflections, experiment, has_anom);
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@@ -459,20 +487,53 @@ void WriteShelxHklReflections(const std::vector<MergedReflection> &reflections,
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std::ofstream out(filename);
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if (!out)
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throw std::runtime_error("WriteShelxHklReflections: cannot open " + filename);
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out << std::fixed << std::setprecision(2);
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const auto emit = [&out, scale](int h, int k, int l, float I, float sigma) {
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out << std::setw(4) << h << std::setw(4) << k << std::setw(4) << l
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<< std::setw(8) << scale * I << std::setw(8) << scale * sigma << "\n";
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// Up to two records per reflection, five formatted numbers each. Built in parallel into per-worker
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// blocks and handed to the file in order, exactly as the mmCIF rows are; "%.2f" right-aligned in
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// the fixed field is what `fixed` + `setprecision(2)` + `setw` made the stream write.
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const auto column = [](std::string &s, const std::string &v, size_t width) {
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if (v.size() < width) s.append(width - v.size(), ' ');
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s.append(v);
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};
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for (const auto& r : rows) {
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const bool plus = usable(r.Ip, r.sIp);
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const bool minus = usable(r.Im, r.sIm);
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if (plus) emit(r.h, r.k, r.l, r.Ip, r.sIp);
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if (minus) emit(-r.h, -r.k, -r.l, r.Im, r.sIm);
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if (!plus && !minus && usable(r.Imean, r.sImean))
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emit(r.h, r.k, r.l, r.Imean, r.sImean);
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const auto num2 = [](double v) {
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char b[64];
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const int n = std::snprintf(b, sizeof b, "%.2f", v);
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return std::string(b, static_cast<size_t>(std::clamp(n, 0, static_cast<int>(sizeof b) - 1)));
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};
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const auto emit = [&column, &num2, scale](std::string &s, int h, int k, int l, float I, float sigma) {
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column(s, std::to_string(h), 4);
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column(s, std::to_string(k), 4);
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column(s, std::to_string(l), 4);
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column(s, num2(scale * I), 8);
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column(s, num2(scale * sigma), 8);
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s.push_back('\n');
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};
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{
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const size_t nrow = rows.size();
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const size_t nw = std::max<size_t>(nthreads, 1);
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const int nch = static_cast<int>(ThreadsForWork(nrow, nw, 4096));
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std::vector<std::string> block(nch);
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ParallelChunks(nch, nw, [&](int tlo, int thi) {
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for (int t = tlo; t < thi; ++t) {
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const size_t lo = nrow * t / nch, hi = nrow * (t + 1) / nch;
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std::string &s = block[t];
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s.reserve((hi - lo) * 2 * 29);
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for (size_t i = lo; i < hi; ++i) {
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const auto &r = rows[i];
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const bool plus = usable(r.Ip, r.sIp);
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const bool minus = usable(r.Im, r.sIm);
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if (plus) emit(s, r.h, r.k, r.l, r.Ip, r.sIp);
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if (minus) emit(s, -r.h, -r.k, -r.l, r.Im, r.sIm);
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if (!plus && !minus && usable(r.Imean, r.sImean))
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emit(s, r.h, r.k, r.l, r.Imean, r.sImean);
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}
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}
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});
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for (const std::string &s : block)
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out.write(s.data(), static_cast<std::streamsize>(s.size()));
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}
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emit(0, 0, 0, 0.0f, 0.0f); // HKLF-4 end-of-data marker
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std::string tail;
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emit(tail, 0, 0, 0, 0.0f, 0.0f); // HKLF-4 end-of-data marker
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out.write(tail.data(), static_cast<std::streamsize>(tail.size()));
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out.close();
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}
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@@ -482,11 +543,13 @@ void WriteReflections(const std::vector<MergedReflection> &reflections,
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const MergeStatistics &statistics,
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const ErrorModelReport &error_model,
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const TwinningAnalysisResult &twinning,
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const std::string &filename) {
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const std::string &filename,
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size_t nthreads) {
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// Write an MTZ, an mmCIF and a SHELX HKLF-4 .hkl - each has its uses downstream (MTZ for the CCP4 /
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// phenix reflection tools, mmCIF for deposition and as the self-describing native format, HKLF-4 as
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// the SHELXC / ANODE substructure-solution input).
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WriteMtzReflections(reflections, unitCell, experiment, filename + ".mtz");
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WriteMmcifReflections(reflections, unitCell, experiment, statistics, error_model, twinning, filename + ".cif");
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WriteShelxHklReflections(reflections, experiment, filename + ".hkl");
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WriteMmcifReflections(reflections, unitCell, experiment, statistics, error_model, twinning,
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filename + ".cif", nthreads);
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WriteShelxHklReflections(reflections, experiment, filename + ".hkl", nthreads);
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}
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