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Jungfraujoch/broker/gen/model/Image_buffer_status.cpp
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v1.0.0-rc.158 (#68)
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.

* Analysis: The azimuthal-integration solid-angle correction now follows the incidence angle to the detector normal (`cos^3` of that angle) instead of `cos^3(2*theta)`, so it is correct for a tilted detector and matches PyFAI `solidAngleArray` and MAX IV azint (unchanged for an untilted detector). Crystal geometry refinement (`XtalOptimizer`) no longer silently ignores an imported PONI `rot3` (rotation about the beam): it is applied as a fixed rotation in the residual so refinement stays consistent with the rest of the pipeline. Polarization and azimuthal binning already honoured `rot3` through the full PONI rotation.
* jfjoch_viewer: Open datasets on the WSL2/UNC filesystem (paths starting `\\`); write processing outputs next to the input file, with a Browse button and independent `_process.h5` / merged `.mtz`/`.cif` toggles; and show the determined space group in the merge-statistics window.
* rugnux: Accept an absolute `-o` output prefix in offline processing.
* Packaging: The self-contained Linux viewer `.tgz` now bundles cuFFT, so it runs without a system CUDA toolkit (`.deb`/`.rpm` are unchanged, distro-managed).
* Docs: Bring the analysis references up to date with the code. `docs/CPU_DATA_ANALYSIS.md` now reflects the unified profile-fit Bragg integration engine, multi-lattice indexing, azimuthal phi binning, the radial parallax/bandwidth profile with sub-pixel centring, the rot3d capture-fraction handling and the automatic CC1/2 resolution cutoff, and drops the descriptions of features that were never implemented (French-Wilson amplitudes, the still excitation-error partiality model); `docs/RUGNUX.md` documents the new `--resolution-cutoff`/`--resolution-cc-target`/`--resolution-shells`, `--min-captured-fraction`, `--mosaicity`, `--reference-column`, the azimuthal correction toggles and the geometry-override options, and corrects the `-N` default. The outdated in-source design notes (ICE_RING_DETECTION, BRAGG_INTEGRATION_ENGINE, NEXTGEN_INTEGRATOR) are removed.Reviewed-on: #68

Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
2026-07-12 19:42:29 +02:00

253 lines
7.5 KiB
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/**
* Jungfraujoch
* API to control Jungfraujoch developed by the Paul Scherrer Institute (Switzerland). Jungfraujoch is a data acquisition and analysis system for pixel array detectors, primarly PSI JUNGFRAU. Jungfraujoch uses FPGA boards to acquire data at high data rates. # License Clarification While this API definition is licensed under GPL-3.0, **the GPL copyleft provisions do not apply** when this file is used solely to generate OpenAPI clients or when implementing applications that interact with the API. Generated client code and applications using this API definition are not subject to the GPL license requirements and may be distributed under terms of your choosing. This exception is similar in spirit to the Linux Kernel's approach to userspace API headers and the GCC Runtime Library Exception. The Linux Kernel developers have explicitly stated that user programs that merely use the kernel interfaces (syscalls, ioctl definitions, etc.) are not derivative works of the kernel and are not subject to the terms of the GPL. This exception is intended to allow wider use of this API specification without imposing GPL requirements on applications that merely interact with the API, regardless of whether they communicate through network calls or other mechanisms.
*
* The version of the OpenAPI document: 1.0.0-rc.158
* Contact: filip.leonarski@psi.ch
*
* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
* https://openapi-generator.tech
* Do not edit the class manually.
*/
#include "Image_buffer_status.h"
#include "Helpers.h"
#include <sstream>
namespace org::openapitools::server::model
{
Image_buffer_status::Image_buffer_status()
{
m_Min_image_number = 0L;
m_Max_image_number = 0L;
m_Total_slots = 0L;
m_Available_slots = 0L;
m_In_preparation_slots = 0L;
m_In_sending_slots = 0L;
m_Current_counter = 0L;
m_Current_counterIsSet = false;
}
void Image_buffer_status::validate() const
{
std::stringstream msg;
if (!validate(msg))
{
throw org::openapitools::server::helpers::ValidationException(msg.str());
}
}
bool Image_buffer_status::validate(std::stringstream& msg) const
{
return validate(msg, "");
}
bool Image_buffer_status::validate(std::stringstream& msg, const std::string& pathPrefix) const
{
bool success = true;
const std::string _pathPrefix = pathPrefix.empty() ? "Image_buffer_status" : pathPrefix;
/* Min_image_number */ {
const int64_t& value = m_Min_image_number;
const std::string currentValuePath = _pathPrefix + ".minImageNumber";
if (value < 0ll)
{
success = false;
msg << currentValuePath << ": must be greater than or equal to 0;";
}
}
/* Max_image_number */ {
const int64_t& value = m_Max_image_number;
const std::string currentValuePath = _pathPrefix + ".maxImageNumber";
if (value < 0ll)
{
success = false;
msg << currentValuePath << ": must be greater than or equal to 0;";
}
}
/* Image_numbers */ {
const std::vector<int64_t>& value = m_Image_numbers;
const std::string currentValuePath = _pathPrefix + ".imageNumbers";
{ // Recursive validation of array elements
const std::string oldValuePath = currentValuePath;
int i = 0;
for (const int64_t& value : value)
{
const std::string currentValuePath = oldValuePath + "[" + std::to_string(i) + "]";
i++;
}
}
}
return success;
}
bool Image_buffer_status::operator==(const Image_buffer_status& rhs) const
{
return
(getMinImageNumber() == rhs.getMinImageNumber())
&&
(getMaxImageNumber() == rhs.getMaxImageNumber())
&&
(getImageNumbers() == rhs.getImageNumbers())
&&
(getTotalSlots() == rhs.getTotalSlots())
&&
(getAvailableSlots() == rhs.getAvailableSlots())
&&
(getInPreparationSlots() == rhs.getInPreparationSlots())
&&
(getInSendingSlots() == rhs.getInSendingSlots())
&&
((!currentCounterIsSet() && !rhs.currentCounterIsSet()) || (currentCounterIsSet() && rhs.currentCounterIsSet() && getCurrentCounter() == rhs.getCurrentCounter()))
;
}
bool Image_buffer_status::operator!=(const Image_buffer_status& rhs) const
{
return !(*this == rhs);
}
void to_json(nlohmann::json& j, const Image_buffer_status& o)
{
j = nlohmann::json::object();
j["min_image_number"] = o.m_Min_image_number;
j["max_image_number"] = o.m_Max_image_number;
j["image_numbers"] = o.m_Image_numbers;
j["total_slots"] = o.m_Total_slots;
j["available_slots"] = o.m_Available_slots;
j["in_preparation_slots"] = o.m_In_preparation_slots;
j["in_sending_slots"] = o.m_In_sending_slots;
if(o.currentCounterIsSet())
j["current_counter"] = o.m_Current_counter;
}
void from_json(const nlohmann::json& j, Image_buffer_status& o)
{
j.at("min_image_number").get_to(o.m_Min_image_number);
j.at("max_image_number").get_to(o.m_Max_image_number);
j.at("image_numbers").get_to(o.m_Image_numbers);
j.at("total_slots").get_to(o.m_Total_slots);
j.at("available_slots").get_to(o.m_Available_slots);
j.at("in_preparation_slots").get_to(o.m_In_preparation_slots);
j.at("in_sending_slots").get_to(o.m_In_sending_slots);
if(j.find("current_counter") != j.end())
{
j.at("current_counter").get_to(o.m_Current_counter);
o.m_Current_counterIsSet = true;
}
}
int64_t Image_buffer_status::getMinImageNumber() const
{
return m_Min_image_number;
}
void Image_buffer_status::setMinImageNumber(int64_t const value)
{
m_Min_image_number = value;
}
int64_t Image_buffer_status::getMaxImageNumber() const
{
return m_Max_image_number;
}
void Image_buffer_status::setMaxImageNumber(int64_t const value)
{
m_Max_image_number = value;
}
std::vector<int64_t> Image_buffer_status::getImageNumbers() const
{
return m_Image_numbers;
}
void Image_buffer_status::setImageNumbers(std::vector<int64_t> const value)
{
m_Image_numbers = value;
}
int64_t Image_buffer_status::getTotalSlots() const
{
return m_Total_slots;
}
void Image_buffer_status::setTotalSlots(int64_t const value)
{
m_Total_slots = value;
}
int64_t Image_buffer_status::getAvailableSlots() const
{
return m_Available_slots;
}
void Image_buffer_status::setAvailableSlots(int64_t const value)
{
m_Available_slots = value;
}
int64_t Image_buffer_status::getInPreparationSlots() const
{
return m_In_preparation_slots;
}
void Image_buffer_status::setInPreparationSlots(int64_t const value)
{
m_In_preparation_slots = value;
}
int64_t Image_buffer_status::getInSendingSlots() const
{
return m_In_sending_slots;
}
void Image_buffer_status::setInSendingSlots(int64_t const value)
{
m_In_sending_slots = value;
}
int64_t Image_buffer_status::getCurrentCounter() const
{
return m_Current_counter;
}
void Image_buffer_status::setCurrentCounter(int64_t const value)
{
m_Current_counter = value;
m_Current_counterIsSet = true;
}
bool Image_buffer_status::currentCounterIsSet() const
{
return m_Current_counterIsSet;
}
void Image_buffer_status::unsetCurrent_counter()
{
m_Current_counterIsSet = false;
}
} // namespace org::openapitools::server::model