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Image buffer: the per-image CBOR metadata headroom had been re-derived from the online reflection cap alone, which cut it from 4 MiB to 2.55 MB while the measured worst case - reflections plus the capped spot list plus the three azimuthal arrays - is 2.9 MB, so the receiver dropped the frames with the most to say. Restore it and give it a name that both the code and its guard test read: written down twice, the two had drifted and the test kept passing against the value the code had left. Spot finding: an unset low_resolution_limit means no limit at that end, as an unset high_resolution_limit already did. An optional rather than a zero sentinel, because zero is not a natural "no limit" here - every pixel lies above it, so the plain comparison masked the whole image instead of none of it, and nothing validated the zero. The API field is no longer required; a zero is folded into the unset case at the boundary, where older clients still send it, so one spelling reaches the analysis code. The FPGA takes its fixed-point ceiling instead, since ap_ufixed<16,9> wraps above 512 A and would have masked everything. image_preprocessing: check the CUDA calls on the fused decode path - the one new GPU file with none, and the path fed by bytes we did not produce. An unchecked synchronise returned the host-written sentinel as if it were a measurement, so the decode looked successful and the fallback to the host decoder never fired. rugnux: --stride no longer writes one past the end of the per-image arrays, whose count floored where the worker loop ceils, and the written process file links the images actually processed rather than the first N - each frame's picture now sits next to its own analysis. Powder calibration: the face-centred calibrants no longer list their systematically absent rings, so the distance fit starts from a reflection that exists rather than an extinct one; the triclinic calibrant covers both signs of h and k instead of a single octant, which is only valid for a diagonal metric. The test asserted the old behaviour - one ring formula for every cubic standard - and is rewritten. CBOR: skip an unknown tagged value in the end block, as the other four blocks already do. One advance lands on the tagged item rather than past it, so an older reader fed a newer end message threw and never finalized its file. Viewer: a settings value the setter rejects no longer escapes as an uncaught throw from a worker slot, and the field offers only what the setter accepts. Space-group search: judge stage B on the same "present" cut stage A already computes. Merged sigma is floored so no reflection reads above ISa, so on a low-ISa merge the fixed cut left both stage B tests unsatisfiable - every screw axis passed unchallenged and the centering rescue switched itself off on exactly the weak data it exists for. Where the fixed cut is the smaller of the two they are equal and this is inert: over the 37-crystal rotation battery every crystal reports the identical space group and identical merge statistics, so it is a no-op there and the low-ISa case it targets remains unmeasured. rugnux: --polarization reaches --mode azint, which parsed the flag and then dropped it; that mode also applies the same polarization default as every other mode. Acknowledge the ACTS/traccc project, whose sparse connected-component labelling both spot extractors take their algorithm from, with its citation and its license. The rc.161 change list is brought back to one line per entry, and the user-visible changes that were missing from it added. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
481 lines
15 KiB
C++
481 lines
15 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.161
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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 "Spot_finding_settings.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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Spot_finding_settings::Spot_finding_settings()
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{
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m_Enable = true;
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m_Indexing = true;
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m_Signal_to_noise_threshold = 0.0f;
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m_Photon_count_threshold = 0L;
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m_Min_pix_per_spot = 0L;
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m_Max_pix_per_spot = 0L;
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m_High_resolution_limit = 0.0f;
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m_High_resolution_limitIsSet = false;
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m_Low_resolution_limit = 0.0f;
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m_Low_resolution_limitIsSet = false;
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m_High_resolution_limit_for_spot_count_low_res = 0.0f;
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m_Quick_integration = false;
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m_Ice_ring_width_q_recipA = 0.03f;
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m_High_res_gap_Q_recipA = 1.5f;
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m_High_res_gap_Q_recipAIsSet = false;
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m_Adaptive_threshold = false;
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m_Adaptive_thresholdIsSet = false;
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m_False_pixels_per_frame = 100.0f;
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m_False_pixels_per_frameIsSet = false;
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}
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void Spot_finding_settings::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 Spot_finding_settings::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 Spot_finding_settings::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() ? "Spot_finding_settings" : pathPrefix;
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/* Signal_to_noise_threshold */ {
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const float& value = m_Signal_to_noise_threshold;
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const std::string currentValuePath = _pathPrefix + ".signalToNoiseThreshold";
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if (value < static_cast<float>(0))
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 0;";
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}
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}
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/* Photon_count_threshold */ {
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const int64_t& value = m_Photon_count_threshold;
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const std::string currentValuePath = _pathPrefix + ".photonCountThreshold";
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if (value < 0ll)
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 0;";
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}
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}
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/* Min_pix_per_spot */ {
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const int64_t& value = m_Min_pix_per_spot;
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const std::string currentValuePath = _pathPrefix + ".minPixPerSpot";
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if (value < 1ll)
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 1;";
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}
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}
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/* Max_pix_per_spot */ {
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const int64_t& value = m_Max_pix_per_spot;
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const std::string currentValuePath = _pathPrefix + ".maxPixPerSpot";
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if (value < 1ll)
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 1;";
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}
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}
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/* High_resolution_limit_for_spot_count_low_res */ {
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const float& value = m_High_resolution_limit_for_spot_count_low_res;
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const std::string currentValuePath = _pathPrefix + ".highResolutionLimitForSpotCountLowRes";
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if (value < static_cast<float>(2.0))
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 2.0;";
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}
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if (value > static_cast<float>(8.0))
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{
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success = false;
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msg << currentValuePath << ": must be less than or equal to 8.0;";
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}
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}
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/* Ice_ring_width_q_recipA */ {
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const float& value = m_Ice_ring_width_q_recipA;
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const std::string currentValuePath = _pathPrefix + ".iceRingWidthQRecipA";
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if (value < static_cast<float>(0.0))
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 0.0;";
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}
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if (value > static_cast<float>(1.0))
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{
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success = false;
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msg << currentValuePath << ": must be less than or equal to 1.0;";
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}
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}
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if (highResGapQRecipAIsSet())
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{
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const float& value = m_High_res_gap_Q_recipA;
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const std::string currentValuePath = _pathPrefix + ".highResGapQRecipA";
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if (value < static_cast<float>(0.1))
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 0.1;";
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}
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if (value > static_cast<float>(5.0))
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{
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success = false;
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msg << currentValuePath << ": must be less than or equal to 5.0;";
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}
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}
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if (falsePixelsPerFrameIsSet())
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{
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const float& value = m_False_pixels_per_frame;
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const std::string currentValuePath = _pathPrefix + ".falsePixelsPerFrame";
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if (value < static_cast<float>(1.0))
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{
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success = false;
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msg << currentValuePath << ": must be greater than or equal to 1.0;";
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}
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if (value > static_cast<float>(100000.0))
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{
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success = false;
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msg << currentValuePath << ": must be less than or equal to 100000.0;";
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}
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}
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return success;
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}
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bool Spot_finding_settings::operator==(const Spot_finding_settings& rhs) const
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{
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return
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(isEnable() == rhs.isEnable())
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&&
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(isIndexing() == rhs.isIndexing())
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&&
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(getSignalToNoiseThreshold() == rhs.getSignalToNoiseThreshold())
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&&
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(getPhotonCountThreshold() == rhs.getPhotonCountThreshold())
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&&
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(getMinPixPerSpot() == rhs.getMinPixPerSpot())
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&&
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(getMaxPixPerSpot() == rhs.getMaxPixPerSpot())
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&&
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((!highResolutionLimitIsSet() && !rhs.highResolutionLimitIsSet()) || (highResolutionLimitIsSet() && rhs.highResolutionLimitIsSet() && getHighResolutionLimit() == rhs.getHighResolutionLimit())) &&
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((!lowResolutionLimitIsSet() && !rhs.lowResolutionLimitIsSet()) || (lowResolutionLimitIsSet() && rhs.lowResolutionLimitIsSet() && getLowResolutionLimit() == rhs.getLowResolutionLimit())) &&
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(getHighResolutionLimitForSpotCountLowRes() == rhs.getHighResolutionLimitForSpotCountLowRes())
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&&
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(isQuickIntegration() == rhs.isQuickIntegration())
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&&
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(getIceRingWidthQRecipA() == rhs.getIceRingWidthQRecipA())
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&&
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((!highResGapQRecipAIsSet() && !rhs.highResGapQRecipAIsSet()) || (highResGapQRecipAIsSet() && rhs.highResGapQRecipAIsSet() && getHighResGapQRecipA() == rhs.getHighResGapQRecipA())) &&
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((!adaptiveThresholdIsSet() && !rhs.adaptiveThresholdIsSet()) || (adaptiveThresholdIsSet() && rhs.adaptiveThresholdIsSet() && isAdaptiveThreshold() == rhs.isAdaptiveThreshold())) &&
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((!falsePixelsPerFrameIsSet() && !rhs.falsePixelsPerFrameIsSet()) || (falsePixelsPerFrameIsSet() && rhs.falsePixelsPerFrameIsSet() && getFalsePixelsPerFrame() == rhs.getFalsePixelsPerFrame()))
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;
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}
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bool Spot_finding_settings::operator!=(const Spot_finding_settings& 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 Spot_finding_settings& o)
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{
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j = nlohmann::json::object();
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j["enable"] = o.m_Enable;
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j["indexing"] = o.m_Indexing;
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j["signal_to_noise_threshold"] = o.m_Signal_to_noise_threshold;
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j["photon_count_threshold"] = o.m_Photon_count_threshold;
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j["min_pix_per_spot"] = o.m_Min_pix_per_spot;
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j["max_pix_per_spot"] = o.m_Max_pix_per_spot;
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if(o.highResolutionLimitIsSet())
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j["high_resolution_limit"] = o.m_High_resolution_limit;
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if(o.lowResolutionLimitIsSet())
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j["low_resolution_limit"] = o.m_Low_resolution_limit;
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j["high_resolution_limit_for_spot_count_low_res"] = o.m_High_resolution_limit_for_spot_count_low_res;
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j["quick_integration"] = o.m_Quick_integration;
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j["ice_ring_width_q_recipA"] = o.m_Ice_ring_width_q_recipA;
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if(o.highResGapQRecipAIsSet())
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j["high_res_gap_Q_recipA"] = o.m_High_res_gap_Q_recipA;
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if(o.adaptiveThresholdIsSet())
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j["adaptive_threshold"] = o.m_Adaptive_threshold;
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if(o.falsePixelsPerFrameIsSet())
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j["false_pixels_per_frame"] = o.m_False_pixels_per_frame;
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}
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void from_json(const nlohmann::json& j, Spot_finding_settings& o)
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{
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j.at("enable").get_to(o.m_Enable);
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j.at("indexing").get_to(o.m_Indexing);
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j.at("signal_to_noise_threshold").get_to(o.m_Signal_to_noise_threshold);
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j.at("photon_count_threshold").get_to(o.m_Photon_count_threshold);
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j.at("min_pix_per_spot").get_to(o.m_Min_pix_per_spot);
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j.at("max_pix_per_spot").get_to(o.m_Max_pix_per_spot);
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if(j.find("high_resolution_limit") != j.end())
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{
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j.at("high_resolution_limit").get_to(o.m_High_resolution_limit);
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o.m_High_resolution_limitIsSet = true;
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}
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if(j.find("low_resolution_limit") != j.end())
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{
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j.at("low_resolution_limit").get_to(o.m_Low_resolution_limit);
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o.m_Low_resolution_limitIsSet = true;
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}
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j.at("high_resolution_limit_for_spot_count_low_res").get_to(o.m_High_resolution_limit_for_spot_count_low_res);
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j.at("quick_integration").get_to(o.m_Quick_integration);
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j.at("ice_ring_width_q_recipA").get_to(o.m_Ice_ring_width_q_recipA);
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if(j.find("high_res_gap_Q_recipA") != j.end())
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{
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j.at("high_res_gap_Q_recipA").get_to(o.m_High_res_gap_Q_recipA);
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o.m_High_res_gap_Q_recipAIsSet = true;
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}
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if(j.find("adaptive_threshold") != j.end())
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{
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j.at("adaptive_threshold").get_to(o.m_Adaptive_threshold);
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o.m_Adaptive_thresholdIsSet = true;
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}
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if(j.find("false_pixels_per_frame") != j.end())
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{
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j.at("false_pixels_per_frame").get_to(o.m_False_pixels_per_frame);
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o.m_False_pixels_per_frameIsSet = true;
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}
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}
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bool Spot_finding_settings::isEnable() const
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{
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return m_Enable;
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}
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void Spot_finding_settings::setEnable(bool const value)
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{
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m_Enable = value;
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}
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bool Spot_finding_settings::isIndexing() const
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{
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return m_Indexing;
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}
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void Spot_finding_settings::setIndexing(bool const value)
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{
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m_Indexing = value;
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}
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float Spot_finding_settings::getSignalToNoiseThreshold() const
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{
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return m_Signal_to_noise_threshold;
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}
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void Spot_finding_settings::setSignalToNoiseThreshold(float const value)
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{
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m_Signal_to_noise_threshold = value;
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}
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int64_t Spot_finding_settings::getPhotonCountThreshold() const
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{
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return m_Photon_count_threshold;
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}
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void Spot_finding_settings::setPhotonCountThreshold(int64_t const value)
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{
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m_Photon_count_threshold = value;
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}
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int64_t Spot_finding_settings::getMinPixPerSpot() const
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{
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return m_Min_pix_per_spot;
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}
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void Spot_finding_settings::setMinPixPerSpot(int64_t const value)
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{
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m_Min_pix_per_spot = value;
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}
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int64_t Spot_finding_settings::getMaxPixPerSpot() const
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{
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return m_Max_pix_per_spot;
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}
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void Spot_finding_settings::setMaxPixPerSpot(int64_t const value)
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{
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m_Max_pix_per_spot = value;
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}
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float Spot_finding_settings::getHighResolutionLimit() const
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{
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return m_High_resolution_limit;
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}
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void Spot_finding_settings::setHighResolutionLimit(float const value)
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{
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m_High_resolution_limit = value;
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m_High_resolution_limitIsSet = true;
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}
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bool Spot_finding_settings::highResolutionLimitIsSet() const
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{
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return m_High_resolution_limitIsSet;
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}
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void Spot_finding_settings::unsetHigh_resolution_limit()
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{
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m_High_resolution_limitIsSet = false;
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}
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float Spot_finding_settings::getLowResolutionLimit() const
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{
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return m_Low_resolution_limit;
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}
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void Spot_finding_settings::setLowResolutionLimit(float const value)
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{
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m_Low_resolution_limit = value;
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m_Low_resolution_limitIsSet = true;
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}
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bool Spot_finding_settings::lowResolutionLimitIsSet() const
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{
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return m_Low_resolution_limitIsSet;
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}
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void Spot_finding_settings::unsetLow_resolution_limit()
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{
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m_Low_resolution_limitIsSet = false;
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}
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float Spot_finding_settings::getHighResolutionLimitForSpotCountLowRes() const
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{
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return m_High_resolution_limit_for_spot_count_low_res;
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}
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void Spot_finding_settings::setHighResolutionLimitForSpotCountLowRes(float const value)
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{
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m_High_resolution_limit_for_spot_count_low_res = value;
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}
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bool Spot_finding_settings::isQuickIntegration() const
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{
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return m_Quick_integration;
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}
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void Spot_finding_settings::setQuickIntegration(bool const value)
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{
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m_Quick_integration = value;
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}
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float Spot_finding_settings::getIceRingWidthQRecipA() const
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{
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return m_Ice_ring_width_q_recipA;
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}
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void Spot_finding_settings::setIceRingWidthQRecipA(float const value)
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|
{
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|
m_Ice_ring_width_q_recipA = value;
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}
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float Spot_finding_settings::getHighResGapQRecipA() const
|
|
{
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|
return m_High_res_gap_Q_recipA;
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|
}
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void Spot_finding_settings::setHighResGapQRecipA(float const value)
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|
{
|
|
m_High_res_gap_Q_recipA = value;
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|
m_High_res_gap_Q_recipAIsSet = true;
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|
}
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|
bool Spot_finding_settings::highResGapQRecipAIsSet() const
|
|
{
|
|
return m_High_res_gap_Q_recipAIsSet;
|
|
}
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|
void Spot_finding_settings::unsetHigh_res_gap_Q_recipA()
|
|
{
|
|
m_High_res_gap_Q_recipAIsSet = false;
|
|
}
|
|
bool Spot_finding_settings::isAdaptiveThreshold() const
|
|
{
|
|
return m_Adaptive_threshold;
|
|
}
|
|
void Spot_finding_settings::setAdaptiveThreshold(bool const value)
|
|
{
|
|
m_Adaptive_threshold = value;
|
|
m_Adaptive_thresholdIsSet = true;
|
|
}
|
|
bool Spot_finding_settings::adaptiveThresholdIsSet() const
|
|
{
|
|
return m_Adaptive_thresholdIsSet;
|
|
}
|
|
void Spot_finding_settings::unsetAdaptive_threshold()
|
|
{
|
|
m_Adaptive_thresholdIsSet = false;
|
|
}
|
|
float Spot_finding_settings::getFalsePixelsPerFrame() const
|
|
{
|
|
return m_False_pixels_per_frame;
|
|
}
|
|
void Spot_finding_settings::setFalsePixelsPerFrame(float const value)
|
|
{
|
|
m_False_pixels_per_frame = value;
|
|
m_False_pixels_per_frameIsSet = true;
|
|
}
|
|
bool Spot_finding_settings::falsePixelsPerFrameIsSet() const
|
|
{
|
|
return m_False_pixels_per_frameIsSet;
|
|
}
|
|
void Spot_finding_settings::unsetFalse_pixels_per_frame()
|
|
{
|
|
m_False_pixels_per_frameIsSet = false;
|
|
}
|
|
|
|
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|
} // namespace org::openapitools::server::model
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