Build Packages / Unit tests (push) Skipped
Build Packages / build:windows:nocuda (push) Successful in 11m6s
Build Packages / build:rpm (rocky8_nocuda) (push) Successful in 10m27s
Build Packages / build:rpm (rocky9_nocuda) (push) Successful in 10m54s
Build Packages / build:rpm (ubuntu2204_nocuda) (push) Successful in 9m25s
Build Packages / build:rpm (ubuntu2404_nocuda) (push) Successful in 10m5s
Build Packages / build:rpm (rocky8_sls9) (push) Successful in 11m33s
Build Packages / build:rpm (rocky9_sls9) (push) Successful in 11m19s
Build Packages / build:rpm (rocky8) (push) Successful in 12m23s
Build Packages / build:rpm (rocky9) (push) Successful in 13m21s
Build Packages / build:rpm (ubuntu2204) (push) Successful in 12m30s
Build Packages / build:rpm (ubuntu2404) (push) Successful in 11m55s
Build Packages / DIALS test (push) Successful in 13m42s
Build Packages / XDS test (durin plugin) (push) Successful in 9m26s
Build Packages / XDS test (JFJoch plugin) (push) Successful in 6m41s
Build Packages / XDS test (neggia plugin) (push) Successful in 6m12s
Build Packages / Generate python client (push) Successful in 19s
Build Packages / Build documentation (push) Successful in 52s
Build Packages / Create release (push) Skipped
Build Packages / build:viewer-tgz:cpu (push) Successful in 5m29s
Build Packages / build:viewer-tgz:cuda (push) Successful in 6m12s
Build Packages / build:windows:cuda (push) Successful in 18m36s
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: #69 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
505 lines
18 KiB
C++
505 lines
18 KiB
C++
// Copyright 2018 Global Phasing Ltd.
|
|
//
|
|
// CCP4 format for maps and masks.
|
|
|
|
#ifndef GEMMI_CCP4_HPP_
|
|
#define GEMMI_CCP4_HPP_
|
|
|
|
#include <cassert>
|
|
#include <cmath> // for ceil, fabs, floor, round
|
|
#include <cstdint> // for uint16_t, int32_t
|
|
#include <cstdio> // for FILE
|
|
#include <cstring> // for memcpy
|
|
#include <array>
|
|
#include <string>
|
|
#include <type_traits> // for is_same
|
|
#include <vector>
|
|
#include "symmetry.hpp"
|
|
#include "fail.hpp" // for fail
|
|
#include "fileutil.hpp" // for file_open, is_little_endian, ...
|
|
#include "input.hpp" // for AnyStream, FileStream
|
|
#include "grid.hpp"
|
|
|
|
#include "third_party/half.hpp"
|
|
using float16_type = half_float::half;
|
|
|
|
namespace gemmi {
|
|
|
|
using std::int32_t;
|
|
|
|
// options for Ccp4<>::setup
|
|
enum class MapSetup {
|
|
Full, // reorder and expand to the whole unit cell
|
|
NoSymmetry, // reorder and resize to the whole cell, but no symmetry ops
|
|
ReorderOnly // reorder axes to X, Y, Z
|
|
};
|
|
|
|
struct Ccp4Base {
|
|
DataStats hstats; // data statistics read from / written to ccp4 map
|
|
// stores raw headers if the grid was read from ccp4 map
|
|
std::vector<int32_t> ccp4_header;
|
|
bool same_byte_order = true;
|
|
|
|
// methods to access info from ccp4 headers, w is word number from the spec
|
|
void* header_word(int w) { return &ccp4_header.at(w - 1); }
|
|
const void* header_word(int w) const { return &ccp4_header.at(w - 1); }
|
|
|
|
int32_t header_i32(int w) const {
|
|
int32_t value = ccp4_header.at(w - 1);
|
|
if (!same_byte_order)
|
|
swap_four_bytes(&value);
|
|
return value;
|
|
}
|
|
std::array<int, 3> header_3i32(int w) const {
|
|
return {{ header_i32(w), header_i32(w+1), header_i32(w+2) }};
|
|
}
|
|
float header_float(int w) const {
|
|
int32_t int_value = header_i32(w);
|
|
float f;
|
|
std::memcpy(&f, &int_value, 4);
|
|
return f;
|
|
}
|
|
std::string header_str(int w, size_t len=80) const {
|
|
if (4 * ccp4_header.size() < 4 * (w - 1) + len)
|
|
fail("invalid end of string");
|
|
return std::string(reinterpret_cast<const char*>(header_word(w)), len);
|
|
}
|
|
void set_header_i32(int w, int32_t value) {
|
|
if (!same_byte_order)
|
|
swap_four_bytes(&value);
|
|
ccp4_header.at(w - 1) = value;
|
|
}
|
|
void set_header_3i32(int w, int32_t x, int32_t y, int32_t z) {
|
|
set_header_i32(w, x);
|
|
set_header_i32(w+1, y);
|
|
set_header_i32(w+2, z);
|
|
}
|
|
void set_header_float(int w, float value) {
|
|
int32_t int32_value;
|
|
std::memcpy(&int32_value, &value, 4);
|
|
set_header_i32(w, int32_value);
|
|
}
|
|
void set_header_str(int w, const std::string& str) {
|
|
std::memcpy(header_word(w), str.c_str(), str.size());
|
|
}
|
|
|
|
std::array<int, 3> axis_positions() const {
|
|
if (ccp4_header.empty())
|
|
return {{0, 1, 2}}; // assuming it's X,Y,Z
|
|
std::array<int, 3> pos{{-1, -1, -1}};
|
|
for (int i = 0; i != 3; ++i) {
|
|
int mapi = header_i32(17 + i);
|
|
if (mapi <= 0 || mapi > 3 || pos[mapi - 1] != -1)
|
|
fail("Incorrect MAPC/MAPR/MAPS records");
|
|
pos[mapi - 1] = i;
|
|
}
|
|
return pos;
|
|
}
|
|
|
|
double header_rfloat(int w) const { // rounded to 5 digits
|
|
return std::round(1e5 * header_float(w)) / 1e5;
|
|
}
|
|
|
|
Box<Fractional> get_extent() const {
|
|
Box<Fractional> box;
|
|
// cf. setup()
|
|
auto pos = axis_positions();
|
|
std::array<int, 3> start = header_3i32(5);
|
|
std::array<int, 3> size = header_3i32(1);
|
|
std::array<int, 3> sampl = header_3i32(8);
|
|
for (int i = 0; i < 3; ++i) {
|
|
double scale = 1. / sampl[i];
|
|
int p = pos[i];
|
|
box.minimum.at(i) = scale * start[p] - 1e-9;
|
|
box.maximum.at(i) = scale * (start[p] + size[p] - 1) + 1e-9;
|
|
}
|
|
return box;
|
|
}
|
|
|
|
// Skew transformation (words 25-37) is supported by CCP4 maplib and PyMOL,
|
|
// but it's not in the MRC format and is not supported by most programs.
|
|
// From maplib.html: Skew transformation is from standard orthogonal
|
|
// coordinate frame (as used for atoms) to orthogonal map frame, as
|
|
// Xo(map) = S * (Xo(atoms) - t)
|
|
bool has_skew_transformation() const {
|
|
return header_i32(25) != 0; // LSKFLG should be 0 or 1
|
|
}
|
|
Transform get_skew_transformation() const {
|
|
return {
|
|
// 26-34 SKWMAT
|
|
{ header_float(26), header_float(27), header_float(28),
|
|
header_float(29), header_float(30), header_float(31),
|
|
header_float(32), header_float(33), header_float(34) },
|
|
// 35-37 SKWTRN
|
|
{ header_float(35), header_float(36), header_float(37) }
|
|
};
|
|
}
|
|
|
|
// ORIGIN (words 50-52), used in MRC format, zeros in CCP4 format
|
|
Position get_origin() const {
|
|
return Position(header_float(50), header_float(51), header_float(52));
|
|
}
|
|
|
|
// this function assumes that the whole unit cell is covered with offset 0
|
|
void prepare_ccp4_header_except_mode_and_stats(GridMeta& grid) {
|
|
GroupOps ops;
|
|
if (grid.spacegroup)
|
|
ops = grid.spacegroup->operations();
|
|
ccp4_header.clear();
|
|
ccp4_header.resize(256 + ops.order() * 20, 0);
|
|
set_header_3i32(1, grid.nu, grid.nv, grid.nw); // NX, NY, NZ
|
|
set_header_3i32(5, 0, 0, 0); // NXSTART, NYSTART, NZSTART
|
|
if (grid.axis_order == AxisOrder::XYZ)
|
|
set_header_3i32(8, grid.nu, grid.nv, grid.nw); // MX, MY, MZ
|
|
else // grid.axis_order == AxisOrder::ZYX
|
|
set_header_3i32(8, grid.nw, grid.nv, grid.nu);
|
|
set_header_float(11, (float) grid.unit_cell.a);
|
|
set_header_float(12, (float) grid.unit_cell.b);
|
|
set_header_float(13, (float) grid.unit_cell.c);
|
|
set_header_float(14, (float) grid.unit_cell.alpha);
|
|
set_header_float(15, (float) grid.unit_cell.beta);
|
|
set_header_float(16, (float) grid.unit_cell.gamma);
|
|
if (grid.axis_order == AxisOrder::XYZ)
|
|
set_header_3i32(17, 1, 2, 3); // MAPC, MAPR, MAPS
|
|
else // grid.axis_order == AxisOrder::ZYX
|
|
set_header_3i32(17, 3, 2, 1);
|
|
set_header_i32(23, grid.spacegroup ? grid.spacegroup->ccp4 : 1); // ISPG
|
|
set_header_i32(24, ops.order() * 80); // NSYMBT
|
|
set_header_str(27, "CCP4"); // EXTTYP
|
|
set_header_i32(28, 20140); // NVERSION
|
|
set_header_str(53, "MAP ");
|
|
set_header_i32(54, is_little_endian() ? 0x00004144 : 0x11110000); // MACHST
|
|
set_header_i32(56, 1); // labels
|
|
std::memset(header_word(57), ' ', 800 + ops.order() * 80);
|
|
set_header_str(57, "written by GEMMI");
|
|
int n = 257;
|
|
for (Op op : ops) {
|
|
set_header_str(n, op.triplet());
|
|
n += 20;
|
|
}
|
|
}
|
|
|
|
void update_header_mode_and_stats(int mode) {
|
|
set_header_i32(4, mode);
|
|
set_header_float(20, (float) hstats.dmin);
|
|
set_header_float(21, (float) hstats.dmax);
|
|
set_header_float(22, (float) hstats.dmean);
|
|
set_header_float(55, (float) hstats.rms);
|
|
// labels could be modified but it's not important
|
|
}
|
|
|
|
bool full_cell_(const GridMeta& grid) const {
|
|
if (ccp4_header.empty())
|
|
return true; // assuming it's full cell
|
|
return
|
|
// NXSTART et al. must be 0
|
|
header_i32(5) == 0 && header_i32(6) == 0 && header_i32(7) == 0 &&
|
|
// MX == NX
|
|
header_i32(8) == grid.nu && header_i32(9) == grid.nv && header_i32(10) == grid.nw;
|
|
}
|
|
|
|
void read_ccp4_header_(GridMeta* grid, AnyStream& f, const std::string& path) {
|
|
const size_t hsize = 256;
|
|
ccp4_header.resize(hsize);
|
|
if (!f.read(ccp4_header.data(), 4 * hsize))
|
|
fail("Failed to read map header: " + path);
|
|
if (header_str(53, 4) != "MAP ")
|
|
fail("Not a CCP4 map: " + path);
|
|
std::string machst = header_str(54, 4);
|
|
if (machst[0] != 0x44 && machst[0] != 0x11)
|
|
fail("Unsupported machine stamp (endianness) in the file?");
|
|
same_byte_order = machst[0] == (is_little_endian() ? 0x44 : 0x11);
|
|
size_t ext_w = header_i32(24) / 4; // NSYMBT in words
|
|
if (ext_w != 0) {
|
|
if (ext_w > 1000000)
|
|
fail("Unexpectedly long extended header: " + path);
|
|
ccp4_header.resize(hsize + ext_w);
|
|
if (!f.read(ccp4_header.data() + hsize, 4 * ext_w))
|
|
fail("Failed to read extended header: " + path);
|
|
}
|
|
for (int i = 0; i < 3; ++i) {
|
|
int axis = header_i32(17 + i);
|
|
if (axis < 1 || axis > 3)
|
|
fail("Unexpected axis value in word " + std::to_string(17 + i)
|
|
+ ": " + std::to_string(axis));
|
|
}
|
|
hstats.dmin = header_float(20);
|
|
hstats.dmax = header_float(21);
|
|
hstats.dmean = header_float(22);
|
|
hstats.rms = header_float(55);
|
|
if (grid) {
|
|
grid->unit_cell.set(header_rfloat(11), header_rfloat(12), header_rfloat(13),
|
|
header_rfloat(14), header_rfloat(15), header_rfloat(16));
|
|
grid->nu = header_i32(1);
|
|
grid->nv = header_i32(2);
|
|
grid->nw = header_i32(3);
|
|
grid->spacegroup = find_spacegroup_by_number(header_i32(23));
|
|
auto pos = axis_positions();
|
|
grid->axis_order = AxisOrder::Unknown;
|
|
if (pos[0] == 0 && pos[1] == 1 && pos[2] == 2 && full_cell_(*grid))
|
|
grid->axis_order = AxisOrder::XYZ;
|
|
}
|
|
}
|
|
};
|
|
|
|
template<typename T=float>
|
|
struct Ccp4 : public Ccp4Base {
|
|
Grid<T> grid;
|
|
|
|
/// If the header is empty, prepare it; otherwise, update only MODE
|
|
/// and, if update_stats==true, also DMIN, DMAX, DMEAN and RMS.
|
|
void update_ccp4_header(int mode=-1, bool update_stats=true) {
|
|
if (mode > 2 && mode != 6)
|
|
fail("Only modes 0, 1, 2 and 6 are supported.");
|
|
if (grid.point_count() == 0)
|
|
fail("update_ccp4_header(): set the grid first (it has size 0)");
|
|
if (grid.axis_order == AxisOrder::Unknown)
|
|
fail("update_ccp4_header(): run setup() first");
|
|
if (update_stats)
|
|
hstats = calculate_data_statistics(grid.data);
|
|
if (ccp4_header.empty())
|
|
prepare_ccp4_header_except_mode_and_stats(grid);
|
|
assert(ccp4_header.size() >= 256);
|
|
if (mode < 0) {
|
|
mode = mode_for_data();
|
|
if (mode < 0)
|
|
fail("update_ccp4_header: specify map mode explicitly (usually 2)");
|
|
}
|
|
update_header_mode_and_stats(mode);
|
|
}
|
|
|
|
static int mode_for_data() {
|
|
if (std::is_same<T, std::int8_t>::value)
|
|
return 0;
|
|
if (std::is_same<T, std::int16_t>::value)
|
|
return 1;
|
|
if (std::is_same<T, float>::value)
|
|
return 2;
|
|
if (std::is_same<T, std::uint16_t>::value)
|
|
return 6;
|
|
return -1;
|
|
}
|
|
|
|
bool full_cell() const { return full_cell_(grid); }
|
|
|
|
void read_ccp4_header(AnyStream& f, const std::string& path) {
|
|
read_ccp4_header_(&grid, f, path);
|
|
if (grid.axis_order != AxisOrder::Unknown)
|
|
grid.calculate_spacing();
|
|
}
|
|
|
|
void setup(T default_value, MapSetup mode=MapSetup::Full);
|
|
void set_extent(const Box<Fractional>& box);
|
|
|
|
void read_ccp4_stream(AnyStream& f, const std::string& path);
|
|
|
|
void read_ccp4_file(const std::string& path) {
|
|
FileStream stream(path.c_str(), "rb");
|
|
read_ccp4_stream(stream, path);
|
|
}
|
|
|
|
void read_ccp4_from_memory(const char* data, size_t size, const std::string& name) {
|
|
MemoryStream stream(data, size);
|
|
read_ccp4_stream(stream, name);
|
|
}
|
|
|
|
template<typename Input>
|
|
void read_ccp4(Input&& input) {
|
|
std::unique_ptr<AnyStream> stream = input.create_stream();
|
|
read_ccp4_stream(*stream, input.path());
|
|
}
|
|
|
|
void write_ccp4_map(const std::string& path) const;
|
|
};
|
|
|
|
|
|
namespace impl {
|
|
|
|
template<typename From, typename To>
|
|
To translate_map_point(From f) { return static_cast<To>(f); }
|
|
// We convert map 2 to 0 by translating non-zero values to 1.
|
|
template<> inline
|
|
std::int8_t translate_map_point<float,std::int8_t>(float f) { return f != 0; }
|
|
template<> inline
|
|
std::int8_t translate_map_point<float16_type,std::int8_t>(float16_type f) { return f != (float16_type)0; }
|
|
|
|
template<typename TFile, typename TMem>
|
|
void read_data(AnyStream& f, std::vector<TMem>& content) {
|
|
if (std::is_same<TFile, TMem>::value) {
|
|
size_t len = content.size();
|
|
if (!f.read(content.data(), sizeof(TMem) * len))
|
|
fail("Failed to read all the data from the map file.");
|
|
} else {
|
|
constexpr size_t chunk_size = 64 * 1024;
|
|
std::vector<TFile> work(chunk_size);
|
|
for (size_t i = 0; i < content.size(); i += chunk_size) {
|
|
size_t len = std::min(chunk_size, content.size() - i);
|
|
if (!f.read(work.data(), sizeof(TFile) * len))
|
|
fail("Failed to read all the data from the map file.");
|
|
for (size_t j = 0; j < len; ++j)
|
|
content[i+j] = translate_map_point<TFile,TMem>(work[j]);
|
|
}
|
|
}
|
|
}
|
|
|
|
template<typename TFile, typename TMem>
|
|
void write_data(const std::vector<TMem>& content, FILE* f) {
|
|
if (std::is_same<TMem, TFile>::value) {
|
|
size_t len = content.size();
|
|
if (std::fwrite(content.data(), sizeof(TFile), len, f) != len)
|
|
sys_fail("Failed to write data to the map file");
|
|
} else {
|
|
constexpr size_t chunk_size = 64 * 1024;
|
|
std::vector<TFile> work(chunk_size);
|
|
for (size_t i = 0; i < content.size(); i += chunk_size) {
|
|
size_t len = std::min(chunk_size, content.size() - i);
|
|
for (size_t j = 0; j < len; ++j)
|
|
work[j] = static_cast<TFile>(content[i+j]);
|
|
if (std::fwrite(work.data(), sizeof(TFile), len, f) != len)
|
|
sys_fail("Failed to write data to the map file");
|
|
}
|
|
}
|
|
}
|
|
|
|
} // namespace impl
|
|
|
|
// This function was tested only on little-endian machines,
|
|
// let us know if you need support for other architectures.
|
|
template<typename T>
|
|
void Ccp4<T>::read_ccp4_stream(AnyStream& f, const std::string& path) {
|
|
read_ccp4_header(f, path);
|
|
grid.data.resize(grid.point_count());
|
|
int mode = header_i32(4);
|
|
if (mode == 0)
|
|
impl::read_data<std::int8_t>(f, grid.data);
|
|
else if (mode == 1)
|
|
impl::read_data<std::int16_t>(f, grid.data);
|
|
else if (mode == 2)
|
|
impl::read_data<float>(f, grid.data);
|
|
else if (mode == 6)
|
|
impl::read_data<std::uint16_t>(f, grid.data);
|
|
else if (mode == 12)
|
|
impl::read_data<float16_type>(f, grid.data);
|
|
else
|
|
fail("Mode " + std::to_string(mode) + " is not supported "
|
|
"(only 0, 1, 2 and 6 are supported).");
|
|
//if (std::fgetc(f) != EOF)
|
|
// fail("The map file is longer then expected.");
|
|
|
|
if (!same_byte_order) {
|
|
if (sizeof(T) == 2)
|
|
for (T& value : grid.data)
|
|
swap_two_bytes(&value);
|
|
else if (sizeof(T) == 4)
|
|
for (T& value : grid.data)
|
|
swap_four_bytes(&value);
|
|
}
|
|
}
|
|
|
|
template<typename T>
|
|
void Ccp4<T>::setup(T default_value, MapSetup mode) {
|
|
if (grid.axis_order == AxisOrder::XYZ || ccp4_header.empty())
|
|
return;
|
|
// cell sampling does not change
|
|
const std::array<int, 3> sampl = header_3i32(8);
|
|
// get old metadata
|
|
const std::array<int, 3> pos = axis_positions();
|
|
std::array<int, 3> start = header_3i32(5);
|
|
int end[3] = { start[0] + grid.nu, start[1] + grid.nv, start[2] + grid.nw };
|
|
// set new metadata
|
|
if (mode == MapSetup::ReorderOnly) {
|
|
set_header_3i32(5, start[pos[0]], start[pos[1]], start[pos[2]]);
|
|
for (int i = 0; i < 3; ++i) {
|
|
end[i] -= start[i];
|
|
start[i] = 0;
|
|
}
|
|
int crs[3] = { grid.nu, grid.nv, grid.nw };
|
|
grid.nu = crs[pos[0]];
|
|
grid.nv = crs[pos[1]];
|
|
grid.nw = crs[pos[2]];
|
|
} else {
|
|
grid.nu = sampl[0];
|
|
grid.nv = sampl[1];
|
|
grid.nw = sampl[2];
|
|
set_header_3i32(5, 0, 0, 0); // start
|
|
}
|
|
set_header_3i32(1, grid.nu, grid.nv, grid.nw); // NX, NY, NZ
|
|
set_header_3i32(17, 1, 2, 3); // axes (MAPC, MAPR, MAPS)
|
|
grid.axis_order = full_cell() ? AxisOrder::XYZ : AxisOrder::Unknown;
|
|
if (grid.axis_order == AxisOrder::XYZ)
|
|
grid.calculate_spacing();
|
|
|
|
// now set the data
|
|
{
|
|
std::vector<T> full(grid.point_count(), default_value);
|
|
int it[3];
|
|
int idx = 0;
|
|
for (it[2] = start[2]; it[2] < end[2]; it[2]++) // sections
|
|
for (it[1] = start[1]; it[1] < end[1]; it[1]++) // rows
|
|
for (it[0] = start[0]; it[0] < end[0]; it[0]++) { // cols
|
|
T val = grid.data[idx++];
|
|
size_t new_index = grid.index_s(it[pos[0]], it[pos[1]], it[pos[2]]);
|
|
full[new_index] = val;
|
|
}
|
|
grid.data = std::move(full);
|
|
}
|
|
|
|
if (mode == MapSetup::Full &&
|
|
// no need to apply symmetry if we started with the whole cell
|
|
(end[pos[0]] - start[pos[0]] < sampl[0] ||
|
|
end[pos[1]] - start[pos[1]] < sampl[1] ||
|
|
end[pos[2]] - start[pos[2]] < sampl[2]))
|
|
grid.symmetrize_nondefault(default_value);
|
|
}
|
|
|
|
template<typename T>
|
|
void Ccp4<T>::set_extent(const Box<Fractional>& box) {
|
|
if (ccp4_header.empty())
|
|
fail("set_extent(): no header in the map. Call update_ccp4_header() first");
|
|
if (!full_cell())
|
|
fail("Ccp4::set_extent() works only after setup()");
|
|
if (grid.axis_order != AxisOrder::XYZ)
|
|
fail("Ccp4::set_extent() works only with XYZ order");
|
|
int u0 = (int)std::ceil(box.minimum.x * grid.nu);
|
|
int v0 = (int)std::ceil(box.minimum.y * grid.nv);
|
|
int w0 = (int)std::ceil(box.minimum.z * grid.nw);
|
|
int nu = (int)std::floor(box.maximum.x * grid.nu) - u0 + 1;
|
|
int nv = (int)std::floor(box.maximum.y * grid.nv) - v0 + 1;
|
|
int nw = (int)std::floor(box.maximum.z * grid.nw) - w0 + 1;
|
|
// set the data
|
|
std::vector<T> new_data((size_t)nu * nv * nw);
|
|
grid.get_subarray(new_data.data(), {u0, v0, w0}, {nu, nv, nw});
|
|
grid.data.swap(new_data);
|
|
// and metadata
|
|
grid.nu = nu;
|
|
grid.nv = nv;
|
|
grid.nw = nw;
|
|
set_header_3i32(1, grid.nu, grid.nv, grid.nw); // NX, NY, NZ
|
|
set_header_3i32(5, u0, v0, w0);
|
|
// AxisOrder::XYZ is used only for grid covering full cell
|
|
grid.axis_order = AxisOrder::Unknown;
|
|
}
|
|
|
|
template<typename T>
|
|
void Ccp4<T>::write_ccp4_map(const std::string& path) const {
|
|
assert(ccp4_header.size() >= 256);
|
|
fileptr_t f = file_open(path.c_str(), "wb");
|
|
std::fwrite(ccp4_header.data(), 4, ccp4_header.size(), f.get());
|
|
int mode = header_i32(4);
|
|
if (mode == 0)
|
|
impl::write_data<std::int8_t>(grid.data, f.get());
|
|
else if (mode == 1)
|
|
impl::write_data<std::int16_t>(grid.data, f.get());
|
|
else if (mode == 2)
|
|
impl::write_data<float>(grid.data, f.get());
|
|
else if (mode == 6)
|
|
impl::write_data<std::uint16_t>(grid.data, f.get());
|
|
}
|
|
|
|
GEMMI_DLL Ccp4<float> read_ccp4_map(const std::string& path, bool setup);
|
|
GEMMI_DLL Ccp4<int8_t> read_ccp4_mask(const std::string& path, bool setup);
|
|
GEMMI_DLL Ccp4Base read_ccp4_header(const std::string& path);
|
|
|
|
} // namespace gemmi
|
|
#endif
|