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* jfjoch_broker: Faster live Rugnux analysis, with the GPU indexers prepared at the start of a collection and kept between collections; Rugnux no longer writes `.ccp4` maps (the map coefficients are in `<prefix>_maps.mtz`). Reviewed-on: #87 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch>
132 lines
3.8 KiB
C++
132 lines
3.8 KiB
C++
/**
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* Jungfraujoch
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* 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.
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*
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* The version of the OpenAPI document: 1.0.0-rc.177
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* Contact: filip.leonarski@psi.ch
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*
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* NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
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* https://openapi-generator.tech
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* Do not edit the class manually.
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*/
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#include "Detector_module.h"
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#include "Helpers.h"
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#include <sstream>
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namespace org::openapitools::server::model
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{
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Detector_module::Detector_module()
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{
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m_X0 = 0.0;
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m_Y0 = 0.0;
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}
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void Detector_module::validate() const
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{
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std::stringstream msg;
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if (!validate(msg))
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{
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throw org::openapitools::server::helpers::ValidationException(msg.str());
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}
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}
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bool Detector_module::validate(std::stringstream& msg) const
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{
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return validate(msg, "");
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}
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bool Detector_module::validate(std::stringstream& msg, const std::string& pathPrefix) const
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{
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bool success = true;
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const std::string _pathPrefix = pathPrefix.empty() ? "Detector_module" : pathPrefix;
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return success;
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}
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bool Detector_module::operator==(const Detector_module& rhs) const
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{
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return
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(getX0() == rhs.getX0())
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&&
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(getY0() == rhs.getY0())
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&&
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(getFastAxis() == rhs.getFastAxis())
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&&
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(getSlowAxis() == rhs.getSlowAxis())
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;
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}
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bool Detector_module::operator!=(const Detector_module& rhs) const
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{
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return !(*this == rhs);
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}
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void to_json(nlohmann::json& j, const Detector_module& o)
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{
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j = nlohmann::json::object();
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j["x0"] = o.m_X0;
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j["y0"] = o.m_Y0;
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j["fast_axis"] = o.m_Fast_axis;
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j["slow_axis"] = o.m_Slow_axis;
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}
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void from_json(const nlohmann::json& j, Detector_module& o)
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{
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j.at("x0").get_to(o.m_X0);
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j.at("y0").get_to(o.m_Y0);
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j.at("fast_axis").get_to(o.m_Fast_axis);
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j.at("slow_axis").get_to(o.m_Slow_axis);
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}
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double Detector_module::getX0() const
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{
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return m_X0;
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}
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void Detector_module::setX0(double const value)
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{
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m_X0 = value;
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}
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double Detector_module::getY0() const
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{
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return m_Y0;
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}
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void Detector_module::setY0(double const value)
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{
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m_Y0 = value;
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}
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org::openapitools::server::model::Detector_module_direction Detector_module::getFastAxis() const
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{
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return m_Fast_axis;
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}
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void Detector_module::setFastAxis(org::openapitools::server::model::Detector_module_direction const& value)
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{
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m_Fast_axis = value;
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}
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org::openapitools::server::model::Detector_module_direction Detector_module::getSlowAxis() const
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{
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return m_Slow_axis;
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}
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void Detector_module::setSlowAxis(org::openapitools::server::model::Detector_module_direction const& value)
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{
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m_Slow_axis = value;
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}
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} // namespace org::openapitools::server::model
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