Repository: yzfzzz/Stereo-Detection Branch: main Commit: fed1abb589a1 Files: 74 Total size: 98.9 MB Directory structure: gitextract_kq4i821q/ ├── BM(C++)/ │ └── BM.cpp ├── BM(Python)/ │ ├── BM.py │ └── camera_configs.py ├── Jeston nano_tensorrt/ │ ├── CMakeLists.txt │ ├── calibrator.cpp │ ├── calibrator.h │ ├── common.hpp │ ├── cuda_utils.h │ ├── gen_wts.py │ ├── logging.h │ ├── macros.h │ ├── preprocess.cu │ ├── preprocess.h │ ├── samples │ ├── utils.h │ ├── yololayer.cu │ ├── yololayer.h │ ├── yolov5.cpp │ └── 部署/ │ └── python_trt.py ├── LICENSE ├── README.md ├── SGBM(C++)/ │ └── SGBM.cpp ├── SGBM(Python)/ │ └── sgbm-video.py ├── Win_tensorrt/ │ ├── python_trt.py │ ├── yolov5_640.engine │ └── yolov5s_480.engine ├── distance_measurement_cpp/ │ ├── camera_config.json │ ├── json.hpp │ ├── main.cpp │ ├── mouse_controller.cpp │ ├── mouse_controller.h │ ├── stereo_match_algorithm.cpp │ └── stereo_match_algorithm.h ├── stereo_introduce/ │ ├── USB摄像头使用说明书.docx │ └── VideoCap.ini ├── stereo_shot.py ├── yolov5-v6.1-pytorch-master/ │ ├── .gitignore │ ├── LICENSE │ ├── get_map.py │ ├── kmeans_for_anchors.py │ ├── nets/ │ │ ├── CSPdarknet.py │ │ ├── __init__.py │ │ ├── yolo.py │ │ └── yolo_training.py │ ├── predict.py │ ├── requirements.txt │ ├── sgbm-video.py │ ├── summary.py │ ├── train.py │ ├── utils/ │ │ ├── __init__.py │ │ ├── callbacks.py │ │ ├── dataloader.py │ │ ├── utils.py │ │ ├── utils_bbox.py │ │ ├── utils_fit.py │ │ └── utils_map.py │ ├── utils_coco/ │ │ ├── coco_annotation.py │ │ └── get_map_coco.py │ ├── voc_annotation.py │ └── yolo.py ├── 双目视觉资料/ │ ├── opencv 双目摄像头拍照(分别左右镜头拍照).txt │ ├── opencv 双目摄像头拍照(分别左右镜头拍照)_一颗小树x的博客-CSDN博客_双目摄像头拍照.mhtml │ ├── 一篇文章认识《双目立体视觉》_一颗小树x的博客-CSDN博客(1).mhtml │ ├── 制作标定板——matlab编程实现_一颗小树x的博客-CSDN博客_matlab 标定板.mhtml │ ├── 双目 机器视觉-- 测距.txt │ ├── 双目 机器视觉-- 测距_一颗小树x的博客-CSDN博客_机器视觉测距.mhtml │ ├── 双目摄像头内参如何使用? 如何转化数据?_一颗小树x的博客-CSDN博客_摄像头内参.mhtml │ ├── 双目测距 SGBM算法 Python版.txt │ ├── 双目测距 SGBM算法 Python版_一颗小树x的博客-CSDN博客_双目相机测距python.mhtml │ └── 立体匹配算法(局部立体匹配 、全局立体匹配 、深度学习立体匹配 )_一颗小树x的博客-CSDN博客_深度学习立体匹配.mhtml ├── 常见问题答疑.md └── 数据处理/ ├── README.md ├── clean-xml-jpg.py └── coco2voc.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: BM(C++)/BM.cpp ================================================ /* ˫Ŀ */ #include #include #include using namespace std; using namespace cv; const int imageWidth = 640; //ͷķֱ const int imageHeight = 480; Vec3f point3; float d; Size imageSize = Size(imageWidth, imageHeight); Mat img; Mat rgbImageL, grayImageL; Mat rgbImageR, grayImageR; Mat rectifyImageL, rectifyImageR; Rect m_l_select; Rect m_r_select; Rect validROIL;//ͼУ֮󣬻ͼвüvalidROIָü֮ Rect validROIR; Mat mapLx, mapLy, mapRx, mapRy; //ӳ Mat Rl, Rr, Pl, Pr, Q; //УתRͶӰP ͶӰQ Mat xyz; //ά Point origin; //갴µʼ Rect selection; //ѡ bool selectObject = false; //Ƿѡ int blockSize = 8, uniquenessRatio = 0, numDisparities = 3; Ptr bm = StereoBM::create(16, 9); /*ȱ궨õڲξ fx 0 cx 0 fy cy 0 0 1 */ Mat cameraMatrixL = (Mat_(3, 3) << 516.5066236, -1.444673028, 320.2950423, 0, 516.5816117, 270.7881873, 0, 0, 1.); //õĻ /*418.523322187048 0 0 -1.26842201390676 421.222568242056 0 344.758267538961 243.318992284899 1 */ //2 Mat distCoeffL = (Mat_(5, 1) << -0.046645194, 0.077595167, 0.012476819, -0.000711358, 0); //[0.006636837611004,0.050240447649195] [0.006681263320267,0.003130367429418] /*ȱ궨õڲξ fx 0 cx 0 fy cy 0 0 1 */ Mat cameraMatrixR = (Mat_(3, 3) << 511.8428182, 1.295112628, 317.310253, 0, 513.0748795, 269.5885026,0, 0, 1); /* 417.417985082506 0 0 0.498638151824367 419.795432389420 0 309.903372309072 236.256106972796 1 */ //2 Mat distCoeffR = (Mat_(5, 1) << -0.061588946, 0.122384376, 0.011081232, -0.000750439, 0); //[-0.038407383078874,0.236392800301615] [0.004121779274885,0.002296129959664] Mat T = (Mat_(3, 1) <<-120.3559901,-0.188953775,-0.662073075);//Tƽ //[-1.210187345641146e+02,0.519235426836325,-0.425535566316217] //ӦMatlabT //Mat rec = (Mat_(3, 1) << -0.00306, -0.03207, 0.00206);//recתӦmatlab om Mat rec = (Mat_(3, 3) << 0.999911333, -0.004351508, 0.012585312, 0.004184066, 0.999902792, 0.013300386, -0.012641965, -0.013246549, 0.999832341); //recתӦmatlab om /* 0.999341122700880 0.000660748031451783 -0.0362888948713456 -0.00206388651740061 0.999250989651683 -0.0386419468010579 0.0362361815232777 0.0386913826603732 0.998593969567432 */ //Mat T = (Mat_(3, 1) << -48.4, 0.241, -0.0344);//Tƽ //[-1.210187345641146e+02,0.519235426836325,-0.425535566316217] //ӦMatlabT Mat R;//R ת /*****ƥ*****/ void stereo_match(int, void*) { bm->setBlockSize(2 * blockSize + 5); //SADڴС5~21֮Ϊ bm->setROI1(validROIL); bm->setROI2(validROIR); bm->setPreFilterCap(31); bm->setMinDisparity(0); //СӲĬֵΪ0, Ǹֵint bm->setNumDisparities(numDisparities * 16 + 16);//ӲڣӲֵСӲֵ֮,ڴС16int bm->setTextureThreshold(10); bm->setUniquenessRatio(uniquenessRatio);//uniquenessRatioҪԷֹƥ bm->setSpeckleWindowSize(100); bm->setSpeckleRange(32); bm->setDisp12MaxDiff(-1); Mat disp, disp8; bm->compute(rectifyImageL, rectifyImageR, disp);//ͼΪҶͼ disp.convertTo(disp8, CV_8U, 255 / ((numDisparities * 16 + 16)*16.));//ӲCV_16Sʽ reprojectImageTo3D(disp, xyz, Q, true); //ʵʱReprojectTo3DX / W, Y / W, Z / WҪ16(ҲW16)ܵõȷάϢ xyz = xyz * 16; imshow("disparity", disp8); } /*****ص*****/ static void onMouse(int event, int x, int y, int, void*) { if (selectObject) { selection.x = MIN(x, origin.x); selection.y = MIN(y, origin.y); selection.width = std::abs(x - origin.x); selection.height = std::abs(y - origin.y); } switch (event) { case EVENT_LBUTTONDOWN: //ťµ¼ origin = Point(x, y); selection = Rect(x, y, 0, 0); selectObject = true; //cout << origin << "in world coordinate is: " << xyz.at(origin) << endl; point3 = xyz.at(origin); point3[0]; //cout << "point3[0]:" << point3[0] << "point3[1]:" << point3[1] << "point3[2]:" << point3[2]< 0 && selection.height > 0) break; } } /**********/ int main() { /* У */ Rodrigues(rec, R); //Rodrigues任 stereoRectify(cameraMatrixL, distCoeffL, cameraMatrixR, distCoeffR, imageSize, R, T, Rl, Rr, Pl, Pr, Q, CALIB_ZERO_DISPARITY, 0, imageSize, &validROIL, &validROIR); initUndistortRectifyMap(cameraMatrixL, distCoeffL, Rl, Pr, imageSize, CV_32FC1, mapLx, mapLy); initUndistortRectifyMap(cameraMatrixR, distCoeffR, Rr, Pr, imageSize, CV_32FC1, mapRx, mapRy); /* ȡͼƬ */ m_l_select = Rect(0, 0, 640, 480); img = imread("car.jpg", IMREAD_COLOR); //imshow("Image", img); rgbImageL = img(m_l_select); cvtColor(rgbImageL, grayImageL, COLOR_BGR2GRAY); m_r_select = Rect(640, 0, 640, 480); rgbImageR = img(m_r_select); cvtColor(rgbImageR, grayImageR, COLOR_BGR2GRAY); //imshow("ImageL", rgbImageL); //imshow("ImageR", rgbImageR); /* remap֮ͼѾ沢ж׼ */ remap(grayImageL, rectifyImageL, mapLx, mapLy, INTER_LINEAR); remap(grayImageR, rectifyImageR, mapRx, mapRy, INTER_LINEAR); /* Уʾ */ Mat rgbRectifyImageL, rgbRectifyImageR; cvtColor(rectifyImageL, rgbRectifyImageL, COLOR_GRAY2BGR); //αɫͼ cvtColor(rectifyImageR, rgbRectifyImageR, COLOR_GRAY2BGR); //ʾ //rectangle(rgbRectifyImageL, validROIL, Scalar(0, 0, 255), 3, 8); //rectangle(rgbRectifyImageR, validROIR, Scalar(0, 0, 255), 3, 8); //imshow("ImageL After Rectify", rgbRectifyImageL); //imshow("ImageR After Rectify", rgbRectifyImageR); //ʾͬһͼ Mat canvas; double sf; int w, h; sf = 600. / MAX(imageSize.width, imageSize.height); w = cvRound(imageSize.width * sf); h = cvRound(imageSize.height * sf); canvas.create(h, w * 2, CV_8UC3); //עͨ //ͼ񻭵 Mat canvasPart = canvas(Rect(w * 0, 0, w, h)); //õһ resize(rgbRectifyImageL, canvasPart, canvasPart.size(), 0, 0, INTER_AREA); //ͼŵcanvasPartһС Rect vroiL(cvRound(validROIL.x*sf), cvRound(validROIL.y*sf), //ñȡ cvRound(validROIL.width*sf), cvRound(validROIL.height*sf)); //rectangle(canvasPart, vroiL, Scalar(0, 0, 255), 3, 8); //һ cout << "Painted ImageL" << endl; //ͼ񻭵 canvasPart = canvas(Rect(w, 0, w, h)); //ûһ resize(rgbRectifyImageR, canvasPart, canvasPart.size(), 0, 0, INTER_LINEAR); Rect vroiR(cvRound(validROIR.x * sf), cvRound(validROIR.y*sf), cvRound(validROIR.width * sf), cvRound(validROIR.height * sf)); //rectangle(canvasPart, vroiR, Scalar(0, 0, 255), 3, 8); cout << "Painted ImageR" << endl; //϶Ӧ for (int i = 0; i < canvas.rows; i += 16) line(canvas, Point(0, i), Point(canvas.cols, i), Scalar(0, 255, 0), 1, 8); imshow("rectified", canvas); /* ƥ */ namedWindow("disparity", WINDOW_AUTOSIZE); /*************************οӻ**********************************************/ // SAD Trackbar //createTrackbar("BlockSize:\n", "disparity", &blockSize, 8, stereo_match); // ӲΨһ԰ٷֱȴ Trackbar //createTrackbar("UniquenessRatio:\n", "disparity", &uniquenessRatio, 50, stereo_match); // Ӳ Trackbar //createTrackbar("NumDisparities:\n", "disparity", &numDisparities, 16, stereo_match); //ӦsetMouseCallback(, ص, صIJһȡ0) setMouseCallback("disparity", onMouse, 0); stereo_match(0, 0); waitKey(); return 0; } ================================================ FILE: BM(Python)/BM.py ================================================ import cv2 import camera_configs import math import os # 引入函数库 import datetime as dt floder = os.getcwd() cap = cv2.VideoCapture(0) cap.set(3, 2560) cap.set(4, 720) #打开并设置摄像头 # 鼠标回调函数 def onmouse_pick_points(event, x, y, flags, param): if event == cv2.EVENT_LBUTTONDOWN: threeD = param print('\n像素坐标 x = %d, y = %d' % (x, y)) # print("世界坐标是:", threeD[y][x][0], threeD[y][x][1], threeD[y][x][2], "mm") print("世界坐标xyz 是:", threeD[y][x][0]/ 1000.0 , threeD[y][x][1]/ 1000.0 , threeD[y][x][2]/ 1000.0 , "m") distance = math.sqrt( threeD[y][x][0] **2 + threeD[y][x][1] **2 + threeD[y][x][2] **2 ) distance = distance / 1000.0 # mm -> m print("距离是:", distance, "m") WIN_NAME = 'Deep disp' cv2.namedWindow(WIN_NAME, cv2.WINDOW_AUTOSIZE) while True: ret, frame = cap.read() frame1 = frame[0:720, 0:1280] frame2 = frame[0:720, 1280:2560] #割开双目图像 imgL = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY) # 将BGR格式转换成灰度图片 imgR = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY) # cv2.remap 重映射,就是把一幅图像中某位置的像素放置到另一个图片指定位置的过程。 # 依据MATLAB测量数据重建无畸变图片 img1_rectified = cv2.remap(imgL, camera_configs.left_map1, camera_configs.left_map2, cv2.INTER_LINEAR) img2_rectified = cv2.remap(imgR, camera_configs.right_map1, camera_configs.right_map2, cv2.INTER_LINEAR) imageL = cv2.cvtColor(img1_rectified, cv2.COLOR_GRAY2BGR) imageR = cv2.cvtColor(img2_rectified, cv2.COLOR_GRAY2BGR) # BM numberOfDisparities = ((1280 // 8) + 15) & -16 # 640对应是分辨率的宽 stereo = cv2.StereoBM_create(numDisparities=16, blockSize=9) #立体匹配 stereo.setROI1(camera_configs.validPixROI1) stereo.setROI2(camera_configs.validPixROI2) stereo.setPreFilterCap(31) stereo.setBlockSize(15) stereo.setMinDisparity(0) stereo.setNumDisparities(numberOfDisparities) stereo.setTextureThreshold(10) stereo.setUniquenessRatio(15) stereo.setSpeckleWindowSize(100) stereo.setSpeckleRange(32) stereo.setDisp12MaxDiff(1) disparity = stereo.compute(img1_rectified, img2_rectified) # 计算视差 disp = cv2.normalize(disparity, disparity, alpha=0, beta=255, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_8U) #归一化函数算法 threeD = cv2.reprojectImageTo3D(disparity, camera_configs.Q, handleMissingValues=True) #计算三维坐标数据值 threeD = threeD * 16 # threeD[y][x] x:0~640; y:0~480; !!!!!!!!!! cv2.setMouseCallback(WIN_NAME, onmouse_pick_points, threeD) cv2.imshow("left", frame1) # cv2.imshow("right", frame2) # cv2.imshow("left_r", imgL) # cv2.imshow("right_r", imgR) cv2.imshow(WIN_NAME, disp) #显示深度图的双目画面 key = cv2.waitKey(1) if key == ord("s"): # 获取当前时间 now_time = dt.datetime.now().strftime('%X') path = folder + "\img_" + str(counter) + ".jpg" cv2.imwrite(path, frame) print("snapshot saved into: " + path) if key == ord("q"): break cap.release() cv2.destroyAllWindows() ================================================ FILE: BM(Python)/camera_configs.py ================================================ # author: young import cv2 import numpy as np # 效果好 left_camera_matrix = np.array([[986.4572391,1.673607456,651.0717611],[0,1001.238398,535.8195077],[0.,0.,1.]]) # left_distortion = np.array([[-0.154511565,0.325173292, 0.006934081,0.017466934, -0.340007548]]) left_distortion = np.array([[-0.154511565,0.325173292, 0.006934081,0.017466934, 0]]) right_camera_matrix = np.array([[998.5848065,7.37746018,667.3698587],[0,1006.305891,528.9731771],[0.,0.,1.]]) # right_distortion = np.array([[-0.192887524,0.706728768, 0.004233541,0.021340116,-1.175486913]]) right_distortion = np.array([[-0.192887524,0.706728768, 0.004233541,0.021340116,0]]) R = np.array([[0.999925137,-0.003616734,-0.01168927], [0.003742452,0.999935202,0.010751105], [0.011649629,-0.010794046,0.999873879]]) T = np.array([-117.3364039,0.277054571,-3.7672413]) # 角度很多但效果一般 # right_camera_matrix = np.array([[1011.630992,6.392290621,667.5686089], # [ 0,1013.460245,503.4011875], # [0., 0,1.0000]]) # right_distortion = np.array([[-0.078598405,0.181429846, 0.005991071,0.011485758,-0.216528642]]) # # left_camera_matrix = np.array([[999.2148594,1.517083305,664.099101],[ 0.,1004.928519,509.320943,], [0., 0,1.0000]]) # left_distortion = np.array([[-0.068650958,0.329526482,0.009413124,0.007593334, -0.762189196]]) # # R = np.matrix([[ 0.999995654,-0.001219991,-0.002683778],[0.001249395,0.999938918,0.010981796],[ 0.002670216,-0.010985102,0.999936097],]) # T = np.array([-115.3587822,-0.643409169,1.336821271]) # 墙平移 # left_camera_matrix = np.array([[1023.60598,2.050151356,602.5534506],[0,976.0768203,398.6863484],[0.,0.,1.]]) # # # left_distortion = np.array([[-0.154511565,0.325173292, 0.006934081,0.017466934, -0.340007548]]) # left_distortion = np.array([[-0.001241482, 0.372245099, -0.02528585, 0.00214508,-1.007572978]]) # # right_camera_matrix = np.array([[1117.411713,-7.109583921,648.9929444],[0,1069.494628,404.4101094],[0.,0.,1.]]) # # # right_distortion = np.array([[-0.192887524,0.706728768, 0.004233541,0.021340116,-1.175486913]]) # right_distortion = np.array([[0.064401477,0.162144856,-0.021187394, 0.019547213,-0.331058671]]) # # R = np.array([[0.999965088,0.007987609,0.002453816], [-0.008017785,0.999889171,0.012544361],[-0.002353345,-0.012563598,0.999918306]]) # # T = np.array([-181.8512309, -19.42425901,125.5877407]) size = (1280, 720) # open windows size # R1:左摄像机旋转矩阵, P1:左摄像机投影矩阵, Q:重投影矩阵 R1, R2, P1, P2, Q, validPixROI1, validPixROI2 = cv2.stereoRectify(left_camera_matrix, left_distortion, right_camera_matrix, right_distortion, size, R, T) # 校正查找映射表,将原始图像和校正后的图像上的点一一对应起来 left_map1, left_map2 = cv2.initUndistortRectifyMap(left_camera_matrix, left_distortion, R1, P1, size, cv2.CV_16SC2) right_map1, right_map2 = cv2.initUndistortRectifyMap(right_camera_matrix, right_distortion, R2, P2, size, cv2.CV_16SC2) print(Q) import numpy as np ####################仅仅是一个示例################################### # 双目相机参数 class stereoCamera(object): def __init__(self): # 左相机内参 self.cam_matrix_left = left_camera_matrix # 右相机内参 self.cam_matrix_right = right_camera_matrix # 左右相机畸变系数:[k1, k2, p1, p2, k3] self.distortion_l = left_distortion self.distortion_r = right_distortion # 旋转矩阵 self.R = R # 平移矩阵 self.T = T # 焦距 self.focal_length = 859.367 # 默认值,一般取立体校正后的重投影矩阵Q中的 Q[2,3] # 基线距离 self.baseline = 119.9578 # 单位:mm, 为平移向量的第一个参数(取绝对值) ================================================ FILE: Jeston nano_tensorrt/CMakeLists.txt ================================================ cmake_minimum_required(VERSION 2.6) project(yolov5) add_definitions(-std=c++11) add_definitions(-DAPI_EXPORTS) option(CUDA_USE_STATIC_CUDA_RUNTIME OFF) set(CMAKE_CXX_STANDARD 11) set(CMAKE_BUILD_TYPE Debug) find_package(CUDA REQUIRED) if(WIN32) enable_language(CUDA) endif(WIN32) include_directories(${PROJECT_SOURCE_DIR}/include) # include and link dirs of cuda and tensorrt, you need adapt them if yours are different # cuda include_directories(/usr/local/cuda/include) link_directories(/usr/local/cuda/lib64) # tensorrt include_directories(/usr/include/x86_64-linux-gnu/) link_directories(/usr/lib/x86_64-linux-gnu/) set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -std=c++11 -Wall -Ofast -g -Wfatal-errors -D_MWAITXINTRIN_H_INCLUDED") cuda_add_library(myplugins SHARED yololayer.cu) target_link_libraries(myplugins nvinfer cudart) find_package(OpenCV) include_directories(${OpenCV_INCLUDE_DIRS}) #cuda_add_executable(yolov5 calibrator.cpp yolov5.cpp preprocess.cu) cuda_add_library(yolov5 SHARED ${PROJECT_SOURCE_DIR}/yolov5.cpp ${PROJECT_SOURCE_DIR}/yololayer.cu ${PROJECT_SOURCE_DIR}/yololayer.h ${PROJECT_SOURCE_DIR}/preprocess.cu) target_link_libraries(yolov5 nvinfer) target_link_libraries(yolov5 cudart) target_link_libraries(yolov5 myplugins) target_link_libraries(yolov5 ${OpenCV_LIBS}) if(UNIX) add_definitions(-O2 -pthread) endif(UNIX) ================================================ FILE: Jeston nano_tensorrt/calibrator.cpp ================================================ #include #include #include #include #include "calibrator.h" #include "cuda_utils.h" #include "utils.h" Int8EntropyCalibrator2::Int8EntropyCalibrator2(int batchsize, int input_w, int input_h, const char* img_dir, const char* calib_table_name, const char* input_blob_name, bool read_cache) : batchsize_(batchsize) , input_w_(input_w) , input_h_(input_h) , img_idx_(0) , img_dir_(img_dir) , calib_table_name_(calib_table_name) , input_blob_name_(input_blob_name) , read_cache_(read_cache) { input_count_ = 3 * input_w * input_h * batchsize; CUDA_CHECK(cudaMalloc(&device_input_, input_count_ * sizeof(float))); read_files_in_dir(img_dir, img_files_); } Int8EntropyCalibrator2::~Int8EntropyCalibrator2() { CUDA_CHECK(cudaFree(device_input_)); } int Int8EntropyCalibrator2::getBatchSize() const TRT_NOEXCEPT { return batchsize_; } bool Int8EntropyCalibrator2::getBatch(void* bindings[], const char* names[], int nbBindings) TRT_NOEXCEPT { if (img_idx_ + batchsize_ > (int)img_files_.size()) { return false; } std::vector input_imgs_; for (int i = img_idx_; i < img_idx_ + batchsize_; i++) { std::cout << img_files_[i] << " " << i << std::endl; cv::Mat temp = cv::imread(img_dir_ + img_files_[i]); if (temp.empty()){ std::cerr << "Fatal error: image cannot open!" << std::endl; return false; } cv::Mat pr_img = preprocess_img(temp, input_w_, input_h_); input_imgs_.push_back(pr_img); } img_idx_ += batchsize_; cv::Mat blob = cv::dnn::blobFromImages(input_imgs_, 1.0 / 255.0, cv::Size(input_w_, input_h_), cv::Scalar(0, 0, 0), true, false); CUDA_CHECK(cudaMemcpy(device_input_, blob.ptr(0), input_count_ * sizeof(float), cudaMemcpyHostToDevice)); assert(!strcmp(names[0], input_blob_name_)); bindings[0] = device_input_; return true; } const void* Int8EntropyCalibrator2::readCalibrationCache(size_t& length) TRT_NOEXCEPT { std::cout << "reading calib cache: " << calib_table_name_ << std::endl; calib_cache_.clear(); std::ifstream input(calib_table_name_, std::ios::binary); input >> std::noskipws; if (read_cache_ && input.good()) { std::copy(std::istream_iterator(input), std::istream_iterator(), std::back_inserter(calib_cache_)); } length = calib_cache_.size(); return length ? calib_cache_.data() : nullptr; } void Int8EntropyCalibrator2::writeCalibrationCache(const void* cache, size_t length) TRT_NOEXCEPT { std::cout << "writing calib cache: " << calib_table_name_ << " size: " << length << std::endl; std::ofstream output(calib_table_name_, std::ios::binary); output.write(reinterpret_cast(cache), length); } ================================================ FILE: Jeston nano_tensorrt/calibrator.h ================================================ #ifndef ENTROPY_CALIBRATOR_H #define ENTROPY_CALIBRATOR_H #include #include #include #include "macros.h" //! \class Int8EntropyCalibrator2 //! //! \brief Implements Entropy calibrator 2. //! CalibrationAlgoType is kENTROPY_CALIBRATION_2. //! class Int8EntropyCalibrator2 : public nvinfer1::IInt8EntropyCalibrator2 { public: Int8EntropyCalibrator2(int batchsize, int input_w, int input_h, const char* img_dir, const char* calib_table_name, const char* input_blob_name, bool read_cache = true); virtual ~Int8EntropyCalibrator2(); int getBatchSize() const TRT_NOEXCEPT override; bool getBatch(void* bindings[], const char* names[], int nbBindings) TRT_NOEXCEPT override; const void* readCalibrationCache(size_t& length) TRT_NOEXCEPT override; void writeCalibrationCache(const void* cache, size_t length) TRT_NOEXCEPT override; private: int batchsize_; int input_w_; int input_h_; int img_idx_; std::string img_dir_; std::vector img_files_; size_t input_count_; std::string calib_table_name_; const char* input_blob_name_; bool read_cache_; void* device_input_; std::vector calib_cache_; }; #endif // ENTROPY_CALIBRATOR_H ================================================ FILE: Jeston nano_tensorrt/common.hpp ================================================ #ifndef YOLOV5_COMMON_H_ #define YOLOV5_COMMON_H_ #include #include #include #include #include #include "NvInfer.h" #include "yololayer.h" using namespace nvinfer1; cv::Rect get_rect(cv::Mat& img, float bbox[4]) { float l, r, t, b; float r_w = Yolo::INPUT_W / (img.cols * 1.0); float r_h = Yolo::INPUT_H / (img.rows * 1.0); if (r_h > r_w) { l = bbox[0] - bbox[2] / 2.f; r = bbox[0] + bbox[2] / 2.f; t = bbox[1] - bbox[3] / 2.f - (Yolo::INPUT_H - r_w * img.rows) / 2; b = bbox[1] + bbox[3] / 2.f - (Yolo::INPUT_H - r_w * img.rows) / 2; l = l / r_w; r = r / r_w; t = t / r_w; b = b / r_w; } else { l = bbox[0] - bbox[2] / 2.f - (Yolo::INPUT_W - r_h * img.cols) / 2; r = bbox[0] + bbox[2] / 2.f - (Yolo::INPUT_W - r_h * img.cols) / 2; t = bbox[1] - bbox[3] / 2.f; b = bbox[1] + bbox[3] / 2.f; l = l / r_h; r = r / r_h; t = t / r_h; b = b / r_h; } return cv::Rect(round(l), round(t), round(r - l), round(b - t)); } float iou(float lbox[4], float rbox[4]) { float interBox[] = { (std::max)(lbox[0] - lbox[2] / 2.f , rbox[0] - rbox[2] / 2.f), //left (std::min)(lbox[0] + lbox[2] / 2.f , rbox[0] + rbox[2] / 2.f), //right (std::max)(lbox[1] - lbox[3] / 2.f , rbox[1] - rbox[3] / 2.f), //top (std::min)(lbox[1] + lbox[3] / 2.f , rbox[1] + rbox[3] / 2.f), //bottom }; if (interBox[2] > interBox[3] || interBox[0] > interBox[1]) return 0.0f; float interBoxS = (interBox[1] - interBox[0])*(interBox[3] - interBox[2]); return interBoxS / (lbox[2] * lbox[3] + rbox[2] * rbox[3] - interBoxS); } bool cmp(const Yolo::Detection& a, const Yolo::Detection& b) { return a.conf > b.conf; } void nms(std::vector& res, float *output, float conf_thresh, float nms_thresh = 0.5) { int det_size = sizeof(Yolo::Detection) / sizeof(float); std::map> m; for (int i = 0; i < output[0] && i < Yolo::MAX_OUTPUT_BBOX_COUNT; i++) { if (output[1 + det_size * i + 4] <= conf_thresh) continue; Yolo::Detection det; memcpy(&det, &output[1 + det_size * i], det_size * sizeof(float)); if (m.count(det.class_id) == 0) m.emplace(det.class_id, std::vector()); m[det.class_id].push_back(det); } for (auto it = m.begin(); it != m.end(); it++) { //std::cout << it->second[0].class_id << " --- " << std::endl; auto& dets = it->second; std::sort(dets.begin(), dets.end(), cmp); for (size_t m = 0; m < dets.size(); ++m) { auto& item = dets[m]; res.push_back(item); for (size_t n = m + 1; n < dets.size(); ++n) { if (iou(item.bbox, dets[n].bbox) > nms_thresh) { dets.erase(dets.begin() + n); --n; } } } } } // TensorRT weight files have a simple space delimited format: // [type] [size] std::map loadWeights(const std::string file) { std::cout << "Loading weights: " << file << std::endl; std::map weightMap; // Open weights file std::ifstream input(file); assert(input.is_open() && "Unable to load weight file. please check if the .wts file path is right!!!!!!"); // Read number of weight blobs int32_t count; input >> count; assert(count > 0 && "Invalid weight map file."); while (count--) { Weights wt{ DataType::kFLOAT, nullptr, 0 }; uint32_t size; // Read name and type of blob std::string name; input >> name >> std::dec >> size; wt.type = DataType::kFLOAT; // Load blob uint32_t* val = reinterpret_cast(malloc(sizeof(val) * size)); for (uint32_t x = 0, y = size; x < y; ++x) { input >> std::hex >> val[x]; } wt.values = val; wt.count = size; weightMap[name] = wt; } return weightMap; } IScaleLayer* addBatchNorm2d(INetworkDefinition *network, std::map& weightMap, ITensor& input, std::string lname, float eps) { float *gamma = (float*)weightMap[lname + ".weight"].values; float *beta = (float*)weightMap[lname + ".bias"].values; float *mean = (float*)weightMap[lname + ".running_mean"].values; float *var = (float*)weightMap[lname + ".running_var"].values; int len = weightMap[lname + ".running_var"].count; float *scval = reinterpret_cast(malloc(sizeof(float) * len)); for (int i = 0; i < len; i++) { scval[i] = gamma[i] / sqrt(var[i] + eps); } Weights scale{ DataType::kFLOAT, scval, len }; float *shval = reinterpret_cast(malloc(sizeof(float) * len)); for (int i = 0; i < len; i++) { shval[i] = beta[i] - mean[i] * gamma[i] / sqrt(var[i] + eps); } Weights shift{ DataType::kFLOAT, shval, len }; float *pval = reinterpret_cast(malloc(sizeof(float) * len)); for (int i = 0; i < len; i++) { pval[i] = 1.0; } Weights power{ DataType::kFLOAT, pval, len }; weightMap[lname + ".scale"] = scale; weightMap[lname + ".shift"] = shift; weightMap[lname + ".power"] = power; IScaleLayer* scale_1 = network->addScale(input, ScaleMode::kCHANNEL, shift, scale, power); assert(scale_1); return scale_1; } ILayer* convBlock(INetworkDefinition *network, std::map& weightMap, ITensor& input, int outch, int ksize, int s, int g, std::string lname) { Weights emptywts{ DataType::kFLOAT, nullptr, 0 }; int p = ksize / 3; IConvolutionLayer* conv1 = network->addConvolutionNd(input, outch, DimsHW{ ksize, ksize }, weightMap[lname + ".conv.weight"], emptywts); assert(conv1); conv1->setStrideNd(DimsHW{ s, s }); conv1->setPaddingNd(DimsHW{ p, p }); conv1->setNbGroups(g); IScaleLayer* bn1 = addBatchNorm2d(network, weightMap, *conv1->getOutput(0), lname + ".bn", 1e-3); // silu = x * sigmoid auto sig = network->addActivation(*bn1->getOutput(0), ActivationType::kSIGMOID); assert(sig); auto ew = network->addElementWise(*bn1->getOutput(0), *sig->getOutput(0), ElementWiseOperation::kPROD); assert(ew); return ew; } ILayer* focus(INetworkDefinition *network, std::map& weightMap, ITensor& input, int inch, int outch, int ksize, std::string lname) { ISliceLayer *s1 = network->addSlice(input, Dims3{ 0, 0, 0 }, Dims3{ inch, Yolo::INPUT_H / 2, Yolo::INPUT_W / 2 }, Dims3{ 1, 2, 2 }); ISliceLayer *s2 = network->addSlice(input, Dims3{ 0, 1, 0 }, Dims3{ inch, Yolo::INPUT_H / 2, Yolo::INPUT_W / 2 }, Dims3{ 1, 2, 2 }); ISliceLayer *s3 = network->addSlice(input, Dims3{ 0, 0, 1 }, Dims3{ inch, Yolo::INPUT_H / 2, Yolo::INPUT_W / 2 }, Dims3{ 1, 2, 2 }); ISliceLayer *s4 = network->addSlice(input, Dims3{ 0, 1, 1 }, Dims3{ inch, Yolo::INPUT_H / 2, Yolo::INPUT_W / 2 }, Dims3{ 1, 2, 2 }); ITensor* inputTensors[] = { s1->getOutput(0), s2->getOutput(0), s3->getOutput(0), s4->getOutput(0) }; auto cat = network->addConcatenation(inputTensors, 4); auto conv = convBlock(network, weightMap, *cat->getOutput(0), outch, ksize, 1, 1, lname + ".conv"); return conv; } ILayer* bottleneck(INetworkDefinition *network, std::map& weightMap, ITensor& input, int c1, int c2, bool shortcut, int g, float e, std::string lname) { auto cv1 = convBlock(network, weightMap, input, (int)((float)c2 * e), 1, 1, 1, lname + ".cv1"); auto cv2 = convBlock(network, weightMap, *cv1->getOutput(0), c2, 3, 1, g, lname + ".cv2"); if (shortcut && c1 == c2) { auto ew = network->addElementWise(input, *cv2->getOutput(0), ElementWiseOperation::kSUM); return ew; } return cv2; } ILayer* bottleneckCSP(INetworkDefinition *network, std::map& weightMap, ITensor& input, int c1, int c2, int n, bool shortcut, int g, float e, std::string lname) { Weights emptywts{ DataType::kFLOAT, nullptr, 0 }; int c_ = (int)((float)c2 * e); auto cv1 = convBlock(network, weightMap, input, c_, 1, 1, 1, lname + ".cv1"); auto cv2 = network->addConvolutionNd(input, c_, DimsHW{ 1, 1 }, weightMap[lname + ".cv2.weight"], emptywts); ITensor *y1 = cv1->getOutput(0); for (int i = 0; i < n; i++) { auto b = bottleneck(network, weightMap, *y1, c_, c_, shortcut, g, 1.0, lname + ".m." + std::to_string(i)); y1 = b->getOutput(0); } auto cv3 = network->addConvolutionNd(*y1, c_, DimsHW{ 1, 1 }, weightMap[lname + ".cv3.weight"], emptywts); ITensor* inputTensors[] = { cv3->getOutput(0), cv2->getOutput(0) }; auto cat = network->addConcatenation(inputTensors, 2); IScaleLayer* bn = addBatchNorm2d(network, weightMap, *cat->getOutput(0), lname + ".bn", 1e-4); auto lr = network->addActivation(*bn->getOutput(0), ActivationType::kLEAKY_RELU); lr->setAlpha(0.1); auto cv4 = convBlock(network, weightMap, *lr->getOutput(0), c2, 1, 1, 1, lname + ".cv4"); return cv4; } ILayer* C3(INetworkDefinition *network, std::map& weightMap, ITensor& input, int c1, int c2, int n, bool shortcut, int g, float e, std::string lname) { int c_ = (int)((float)c2 * e); auto cv1 = convBlock(network, weightMap, input, c_, 1, 1, 1, lname + ".cv1"); auto cv2 = convBlock(network, weightMap, input, c_, 1, 1, 1, lname + ".cv2"); ITensor *y1 = cv1->getOutput(0); for (int i = 0; i < n; i++) { auto b = bottleneck(network, weightMap, *y1, c_, c_, shortcut, g, 1.0, lname + ".m." + std::to_string(i)); y1 = b->getOutput(0); } ITensor* inputTensors[] = { y1, cv2->getOutput(0) }; auto cat = network->addConcatenation(inputTensors, 2); auto cv3 = convBlock(network, weightMap, *cat->getOutput(0), c2, 1, 1, 1, lname + ".cv3"); return cv3; } ILayer* SPP(INetworkDefinition *network, std::map& weightMap, ITensor& input, int c1, int c2, int k1, int k2, int k3, std::string lname) { int c_ = c1 / 2; auto cv1 = convBlock(network, weightMap, input, c_, 1, 1, 1, lname + ".cv1"); auto pool1 = network->addPoolingNd(*cv1->getOutput(0), PoolingType::kMAX, DimsHW{ k1, k1 }); pool1->setPaddingNd(DimsHW{ k1 / 2, k1 / 2 }); pool1->setStrideNd(DimsHW{ 1, 1 }); auto pool2 = network->addPoolingNd(*cv1->getOutput(0), PoolingType::kMAX, DimsHW{ k2, k2 }); pool2->setPaddingNd(DimsHW{ k2 / 2, k2 / 2 }); pool2->setStrideNd(DimsHW{ 1, 1 }); auto pool3 = network->addPoolingNd(*cv1->getOutput(0), PoolingType::kMAX, DimsHW{ k3, k3 }); pool3->setPaddingNd(DimsHW{ k3 / 2, k3 / 2 }); pool3->setStrideNd(DimsHW{ 1, 1 }); ITensor* inputTensors[] = { cv1->getOutput(0), pool1->getOutput(0), pool2->getOutput(0), pool3->getOutput(0) }; auto cat = network->addConcatenation(inputTensors, 4); auto cv2 = convBlock(network, weightMap, *cat->getOutput(0), c2, 1, 1, 1, lname + ".cv2"); return cv2; } ILayer* SPPF(INetworkDefinition *network, std::map& weightMap, ITensor& input, int c1, int c2, int k, std::string lname) { int c_ = c1 / 2; auto cv1 = convBlock(network, weightMap, input, c_, 1, 1, 1, lname + ".cv1"); auto pool1 = network->addPoolingNd(*cv1->getOutput(0), PoolingType::kMAX, DimsHW{ k, k }); pool1->setPaddingNd(DimsHW{ k / 2, k / 2 }); pool1->setStrideNd(DimsHW{ 1, 1 }); auto pool2 = network->addPoolingNd(*pool1->getOutput(0), PoolingType::kMAX, DimsHW{ k, k }); pool2->setPaddingNd(DimsHW{ k / 2, k / 2 }); pool2->setStrideNd(DimsHW{ 1, 1 }); auto pool3 = network->addPoolingNd(*pool2->getOutput(0), PoolingType::kMAX, DimsHW{ k, k }); pool3->setPaddingNd(DimsHW{ k / 2, k / 2 }); pool3->setStrideNd(DimsHW{ 1, 1 }); ITensor* inputTensors[] = { cv1->getOutput(0), pool1->getOutput(0), pool2->getOutput(0), pool3->getOutput(0) }; auto cat = network->addConcatenation(inputTensors, 4); auto cv2 = convBlock(network, weightMap, *cat->getOutput(0), c2, 1, 1, 1, lname + ".cv2"); return cv2; } std::vector> getAnchors(std::map& weightMap, std::string lname) { std::vector> anchors; Weights wts = weightMap[lname + ".anchor_grid"]; int anchor_len = Yolo::CHECK_COUNT * 2; for (int i = 0; i < wts.count / anchor_len; i++) { auto *p = (const float*)wts.values + i * anchor_len; std::vector anchor(p, p + anchor_len); anchors.push_back(anchor); } return anchors; } IPluginV2Layer* addYoLoLayer(INetworkDefinition *network, std::map& weightMap, std::string lname, std::vector dets) { auto creator = getPluginRegistry()->getPluginCreator("YoloLayer_TRT", "1"); auto anchors = getAnchors(weightMap, lname); PluginField plugin_fields[2]; int netinfo[4] = {Yolo::CLASS_NUM, Yolo::INPUT_W, Yolo::INPUT_H, Yolo::MAX_OUTPUT_BBOX_COUNT}; plugin_fields[0].data = netinfo; plugin_fields[0].length = 4; plugin_fields[0].name = "netinfo"; plugin_fields[0].type = PluginFieldType::kFLOAT32; int scale = 8; std::vector kernels; for (size_t i = 0; i < anchors.size(); i++) { Yolo::YoloKernel kernel; kernel.width = Yolo::INPUT_W / scale; kernel.height = Yolo::INPUT_H / scale; memcpy(kernel.anchors, &anchors[i][0], anchors[i].size() * sizeof(float)); kernels.push_back(kernel); scale *= 2; } plugin_fields[1].data = &kernels[0]; plugin_fields[1].length = kernels.size(); plugin_fields[1].name = "kernels"; plugin_fields[1].type = PluginFieldType::kFLOAT32; PluginFieldCollection plugin_data; plugin_data.nbFields = 2; plugin_data.fields = plugin_fields; IPluginV2 *plugin_obj = creator->createPlugin("yololayer", &plugin_data); std::vector input_tensors; for (auto det: dets) { input_tensors.push_back(det->getOutput(0)); } auto yolo = network->addPluginV2(&input_tensors[0], input_tensors.size(), *plugin_obj); return yolo; } #endif ================================================ FILE: Jeston nano_tensorrt/cuda_utils.h ================================================ #ifndef TRTX_CUDA_UTILS_H_ #define TRTX_CUDA_UTILS_H_ #include #ifndef CUDA_CHECK #define CUDA_CHECK(callstr)\ {\ cudaError_t error_code = callstr;\ if (error_code != cudaSuccess) {\ std::cerr << "CUDA error " << error_code << " at " << __FILE__ << ":" << __LINE__;\ assert(0);\ }\ } #endif // CUDA_CHECK #endif // TRTX_CUDA_UTILS_H_ ================================================ FILE: Jeston nano_tensorrt/gen_wts.py ================================================ import sys import argparse import os import struct import torch from utils.torch_utils import select_device def parse_args(): parser = argparse.ArgumentParser(description='Convert .pt file to .wts') parser.add_argument('-w', '--weights', required=True, help='Input weights (.pt) file path (required)') parser.add_argument('-o', '--output', help='Output (.wts) file path (optional)') args = parser.parse_args() if not os.path.isfile(args.weights): raise SystemExit('Invalid input file') if not args.output: args.output = os.path.splitext(args.weights)[0] + '.wts' elif os.path.isdir(args.output): args.output = os.path.join( args.output, os.path.splitext(os.path.basename(args.weights))[0] + '.wts') return args.weights, args.output pt_file, wts_file = parse_args() # Initialize device = select_device('cpu') # Load model model = torch.load(pt_file, map_location=device) # load to FP32 model = model['ema' if model.get('ema') else 'model'].float() # update anchor_grid info anchor_grid = model.model[-1].anchors * model.model[-1].stride[...,None,None] # model.model[-1].anchor_grid = anchor_grid delattr(model.model[-1], 'anchor_grid') # model.model[-1] is detect layer model.model[-1].register_buffer("anchor_grid",anchor_grid) #The parameters are saved in the OrderDict through the "register_buffer" method, and then saved to the weight. model.to(device).eval() with open(wts_file, 'w') as f: f.write('{}\n'.format(len(model.state_dict().keys()))) for k, v in model.state_dict().items(): vr = v.reshape(-1).cpu().numpy() f.write('{} {} '.format(k, len(vr))) for vv in vr: f.write(' ') f.write(struct.pack('>f' ,float(vv)).hex()) f.write('\n') ================================================ FILE: Jeston nano_tensorrt/logging.h ================================================ /* * Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #ifndef TENSORRT_LOGGING_H #define TENSORRT_LOGGING_H #include "NvInferRuntimeCommon.h" #include #include #include #include #include #include #include #include "macros.h" using Severity = nvinfer1::ILogger::Severity; class LogStreamConsumerBuffer : public std::stringbuf { public: LogStreamConsumerBuffer(std::ostream& stream, const std::string& prefix, bool shouldLog) : mOutput(stream) , mPrefix(prefix) , mShouldLog(shouldLog) { } LogStreamConsumerBuffer(LogStreamConsumerBuffer&& other) : mOutput(other.mOutput) { } ~LogStreamConsumerBuffer() { // std::streambuf::pbase() gives a pointer to the beginning of the buffered part of the output sequence // std::streambuf::pptr() gives a pointer to the current position of the output sequence // if the pointer to the beginning is not equal to the pointer to the current position, // call putOutput() to log the output to the stream if (pbase() != pptr()) { putOutput(); } } // synchronizes the stream buffer and returns 0 on success // synchronizing the stream buffer consists of inserting the buffer contents into the stream, // resetting the buffer and flushing the stream virtual int sync() { putOutput(); return 0; } void putOutput() { if (mShouldLog) { // prepend timestamp std::time_t timestamp = std::time(nullptr); tm* tm_local = std::localtime(×tamp); std::cout << "["; std::cout << std::setw(2) << std::setfill('0') << 1 + tm_local->tm_mon << "/"; std::cout << std::setw(2) << std::setfill('0') << tm_local->tm_mday << "/"; std::cout << std::setw(4) << std::setfill('0') << 1900 + tm_local->tm_year << "-"; std::cout << std::setw(2) << std::setfill('0') << tm_local->tm_hour << ":"; std::cout << std::setw(2) << std::setfill('0') << tm_local->tm_min << ":"; std::cout << std::setw(2) << std::setfill('0') << tm_local->tm_sec << "] "; // std::stringbuf::str() gets the string contents of the buffer // insert the buffer contents pre-appended by the appropriate prefix into the stream mOutput << mPrefix << str(); // set the buffer to empty str(""); // flush the stream mOutput.flush(); } } void setShouldLog(bool shouldLog) { mShouldLog = shouldLog; } private: std::ostream& mOutput; std::string mPrefix; bool mShouldLog; }; //! //! \class LogStreamConsumerBase //! \brief Convenience object used to initialize LogStreamConsumerBuffer before std::ostream in LogStreamConsumer //! class LogStreamConsumerBase { public: LogStreamConsumerBase(std::ostream& stream, const std::string& prefix, bool shouldLog) : mBuffer(stream, prefix, shouldLog) { } protected: LogStreamConsumerBuffer mBuffer; }; //! //! \class LogStreamConsumer //! \brief Convenience object used to facilitate use of C++ stream syntax when logging messages. //! Order of base classes is LogStreamConsumerBase and then std::ostream. //! This is because the LogStreamConsumerBase class is used to initialize the LogStreamConsumerBuffer member field //! in LogStreamConsumer and then the address of the buffer is passed to std::ostream. //! This is necessary to prevent the address of an uninitialized buffer from being passed to std::ostream. //! Please do not change the order of the parent classes. //! class LogStreamConsumer : protected LogStreamConsumerBase, public std::ostream { public: //! \brief Creates a LogStreamConsumer which logs messages with level severity. //! Reportable severity determines if the messages are severe enough to be logged. LogStreamConsumer(Severity reportableSeverity, Severity severity) : LogStreamConsumerBase(severityOstream(severity), severityPrefix(severity), severity <= reportableSeverity) , std::ostream(&mBuffer) // links the stream buffer with the stream , mShouldLog(severity <= reportableSeverity) , mSeverity(severity) { } LogStreamConsumer(LogStreamConsumer&& other) : LogStreamConsumerBase(severityOstream(other.mSeverity), severityPrefix(other.mSeverity), other.mShouldLog) , std::ostream(&mBuffer) // links the stream buffer with the stream , mShouldLog(other.mShouldLog) , mSeverity(other.mSeverity) { } void setReportableSeverity(Severity reportableSeverity) { mShouldLog = mSeverity <= reportableSeverity; mBuffer.setShouldLog(mShouldLog); } private: static std::ostream& severityOstream(Severity severity) { return severity >= Severity::kINFO ? std::cout : std::cerr; } static std::string severityPrefix(Severity severity) { switch (severity) { case Severity::kINTERNAL_ERROR: return "[F] "; case Severity::kERROR: return "[E] "; case Severity::kWARNING: return "[W] "; case Severity::kINFO: return "[I] "; case Severity::kVERBOSE: return "[V] "; default: assert(0); return ""; } } bool mShouldLog; Severity mSeverity; }; //! \class Logger //! //! \brief Class which manages logging of TensorRT tools and samples //! //! \details This class provides a common interface for TensorRT tools and samples to log information to the console, //! and supports logging two types of messages: //! //! - Debugging messages with an associated severity (info, warning, error, or internal error/fatal) //! - Test pass/fail messages //! //! The advantage of having all samples use this class for logging as opposed to emitting directly to stdout/stderr is //! that the logic for controlling the verbosity and formatting of sample output is centralized in one location. //! //! In the future, this class could be extended to support dumping test results to a file in some standard format //! (for example, JUnit XML), and providing additional metadata (e.g. timing the duration of a test run). //! //! TODO: For backwards compatibility with existing samples, this class inherits directly from the nvinfer1::ILogger //! interface, which is problematic since there isn't a clean separation between messages coming from the TensorRT //! library and messages coming from the sample. //! //! In the future (once all samples are updated to use Logger::getTRTLogger() to access the ILogger) we can refactor the //! class to eliminate the inheritance and instead make the nvinfer1::ILogger implementation a member of the Logger //! object. class Logger : public nvinfer1::ILogger { public: Logger(Severity severity = Severity::kWARNING) : mReportableSeverity(severity) { } //! //! \enum TestResult //! \brief Represents the state of a given test //! enum class TestResult { kRUNNING, //!< The test is running kPASSED, //!< The test passed kFAILED, //!< The test failed kWAIVED //!< The test was waived }; //! //! \brief Forward-compatible method for retrieving the nvinfer::ILogger associated with this Logger //! \return The nvinfer1::ILogger associated with this Logger //! //! TODO Once all samples are updated to use this method to register the logger with TensorRT, //! we can eliminate the inheritance of Logger from ILogger //! nvinfer1::ILogger& getTRTLogger() { return *this; } //! //! \brief Implementation of the nvinfer1::ILogger::log() virtual method //! //! Note samples should not be calling this function directly; it will eventually go away once we eliminate the //! inheritance from nvinfer1::ILogger //! void log(Severity severity, const char* msg) TRT_NOEXCEPT override { LogStreamConsumer(mReportableSeverity, severity) << "[TRT] " << std::string(msg) << std::endl; } //! //! \brief Method for controlling the verbosity of logging output //! //! \param severity The logger will only emit messages that have severity of this level or higher. //! void setReportableSeverity(Severity severity) { mReportableSeverity = severity; } //! //! \brief Opaque handle that holds logging information for a particular test //! //! This object is an opaque handle to information used by the Logger to print test results. //! The sample must call Logger::defineTest() in order to obtain a TestAtom that can be used //! with Logger::reportTest{Start,End}(). //! class TestAtom { public: TestAtom(TestAtom&&) = default; private: friend class Logger; TestAtom(bool started, const std::string& name, const std::string& cmdline) : mStarted(started) , mName(name) , mCmdline(cmdline) { } bool mStarted; std::string mName; std::string mCmdline; }; //! //! \brief Define a test for logging //! //! \param[in] name The name of the test. This should be a string starting with //! "TensorRT" and containing dot-separated strings containing //! the characters [A-Za-z0-9_]. //! For example, "TensorRT.sample_googlenet" //! \param[in] cmdline The command line used to reproduce the test // //! \return a TestAtom that can be used in Logger::reportTest{Start,End}(). //! static TestAtom defineTest(const std::string& name, const std::string& cmdline) { return TestAtom(false, name, cmdline); } //! //! \brief A convenience overloaded version of defineTest() that accepts an array of command-line arguments //! as input //! //! \param[in] name The name of the test //! \param[in] argc The number of command-line arguments //! \param[in] argv The array of command-line arguments (given as C strings) //! //! \return a TestAtom that can be used in Logger::reportTest{Start,End}(). static TestAtom defineTest(const std::string& name, int argc, char const* const* argv) { auto cmdline = genCmdlineString(argc, argv); return defineTest(name, cmdline); } //! //! \brief Report that a test has started. //! //! \pre reportTestStart() has not been called yet for the given testAtom //! //! \param[in] testAtom The handle to the test that has started //! static void reportTestStart(TestAtom& testAtom) { reportTestResult(testAtom, TestResult::kRUNNING); assert(!testAtom.mStarted); testAtom.mStarted = true; } //! //! \brief Report that a test has ended. //! //! \pre reportTestStart() has been called for the given testAtom //! //! \param[in] testAtom The handle to the test that has ended //! \param[in] result The result of the test. Should be one of TestResult::kPASSED, //! TestResult::kFAILED, TestResult::kWAIVED //! static void reportTestEnd(const TestAtom& testAtom, TestResult result) { assert(result != TestResult::kRUNNING); assert(testAtom.mStarted); reportTestResult(testAtom, result); } static int reportPass(const TestAtom& testAtom) { reportTestEnd(testAtom, TestResult::kPASSED); return EXIT_SUCCESS; } static int reportFail(const TestAtom& testAtom) { reportTestEnd(testAtom, TestResult::kFAILED); return EXIT_FAILURE; } static int reportWaive(const TestAtom& testAtom) { reportTestEnd(testAtom, TestResult::kWAIVED); return EXIT_SUCCESS; } static int reportTest(const TestAtom& testAtom, bool pass) { return pass ? reportPass(testAtom) : reportFail(testAtom); } Severity getReportableSeverity() const { return mReportableSeverity; } private: //! //! \brief returns an appropriate string for prefixing a log message with the given severity //! static const char* severityPrefix(Severity severity) { switch (severity) { case Severity::kINTERNAL_ERROR: return "[F] "; case Severity::kERROR: return "[E] "; case Severity::kWARNING: return "[W] "; case Severity::kINFO: return "[I] "; case Severity::kVERBOSE: return "[V] "; default: assert(0); return ""; } } //! //! \brief returns an appropriate string for prefixing a test result message with the given result //! static const char* testResultString(TestResult result) { switch (result) { case TestResult::kRUNNING: return "RUNNING"; case TestResult::kPASSED: return "PASSED"; case TestResult::kFAILED: return "FAILED"; case TestResult::kWAIVED: return "WAIVED"; default: assert(0); return ""; } } //! //! \brief returns an appropriate output stream (cout or cerr) to use with the given severity //! static std::ostream& severityOstream(Severity severity) { return severity >= Severity::kINFO ? std::cout : std::cerr; } //! //! \brief method that implements logging test results //! static void reportTestResult(const TestAtom& testAtom, TestResult result) { severityOstream(Severity::kINFO) << "&&&& " << testResultString(result) << " " << testAtom.mName << " # " << testAtom.mCmdline << std::endl; } //! //! \brief generate a command line string from the given (argc, argv) values //! static std::string genCmdlineString(int argc, char const* const* argv) { std::stringstream ss; for (int i = 0; i < argc; i++) { if (i > 0) ss << " "; ss << argv[i]; } return ss.str(); } Severity mReportableSeverity; }; namespace { //! //! \brief produces a LogStreamConsumer object that can be used to log messages of severity kVERBOSE //! //! Example usage: //! //! LOG_VERBOSE(logger) << "hello world" << std::endl; //! inline LogStreamConsumer LOG_VERBOSE(const Logger& logger) { return LogStreamConsumer(logger.getReportableSeverity(), Severity::kVERBOSE); } //! //! \brief produces a LogStreamConsumer object that can be used to log messages of severity kINFO //! //! Example usage: //! //! LOG_INFO(logger) << "hello world" << std::endl; //! inline LogStreamConsumer LOG_INFO(const Logger& logger) { return LogStreamConsumer(logger.getReportableSeverity(), Severity::kINFO); } //! //! \brief produces a LogStreamConsumer object that can be used to log messages of severity kWARNING //! //! Example usage: //! //! LOG_WARN(logger) << "hello world" << std::endl; //! inline LogStreamConsumer LOG_WARN(const Logger& logger) { return LogStreamConsumer(logger.getReportableSeverity(), Severity::kWARNING); } //! //! \brief produces a LogStreamConsumer object that can be used to log messages of severity kERROR //! //! Example usage: //! //! LOG_ERROR(logger) << "hello world" << std::endl; //! inline LogStreamConsumer LOG_ERROR(const Logger& logger) { return LogStreamConsumer(logger.getReportableSeverity(), Severity::kERROR); } //! //! \brief produces a LogStreamConsumer object that can be used to log messages of severity kINTERNAL_ERROR // ("fatal" severity) //! //! Example usage: //! //! LOG_FATAL(logger) << "hello world" << std::endl; //! inline LogStreamConsumer LOG_FATAL(const Logger& logger) { return LogStreamConsumer(logger.getReportableSeverity(), Severity::kINTERNAL_ERROR); } } // anonymous namespace #endif // TENSORRT_LOGGING_H ================================================ FILE: Jeston nano_tensorrt/macros.h ================================================ #ifndef __MACROS_H #define __MACROS_H #ifdef API_EXPORTS #if defined(_MSC_VER) #define API __declspec(dllexport) #else #define API __attribute__((visibility("default"))) #endif #else #if defined(_MSC_VER) #define API __declspec(dllimport) #else #define API #endif #endif // API_EXPORTS #if NV_TENSORRT_MAJOR >= 8 #define TRT_NOEXCEPT noexcept #define TRT_CONST_ENQUEUE const #else #define TRT_NOEXCEPT #define TRT_CONST_ENQUEUE #endif #endif // __MACROS_H ================================================ FILE: Jeston nano_tensorrt/preprocess.cu ================================================ #include "preprocess.h" #include __global__ void warpaffine_kernel( uint8_t* src, int src_line_size, int src_width, int src_height, float* dst, int dst_width, int dst_height, uint8_t const_value_st, AffineMatrix d2s, int edge) { int position = blockDim.x * blockIdx.x + threadIdx.x; if (position >= edge) return; float m_x1 = d2s.value[0]; float m_y1 = d2s.value[1]; float m_z1 = d2s.value[2]; float m_x2 = d2s.value[3]; float m_y2 = d2s.value[4]; float m_z2 = d2s.value[5]; int dx = position % dst_width; int dy = position / dst_width; float src_x = m_x1 * dx + m_y1 * dy + m_z1 + 0.5f; float src_y = m_x2 * dx + m_y2 * dy + m_z2 + 0.5f; float c0, c1, c2; if (src_x <= -1 || src_x >= src_width || src_y <= -1 || src_y >= src_height) { // out of range c0 = const_value_st; c1 = const_value_st; c2 = const_value_st; } else { int y_low = floorf(src_y); int x_low = floorf(src_x); int y_high = y_low + 1; int x_high = x_low + 1; uint8_t const_value[] = {const_value_st, const_value_st, const_value_st}; float ly = src_y - y_low; float lx = src_x - x_low; float hy = 1 - ly; float hx = 1 - lx; float w1 = hy * hx, w2 = hy * lx, w3 = ly * hx, w4 = ly * lx; uint8_t* v1 = const_value; uint8_t* v2 = const_value; uint8_t* v3 = const_value; uint8_t* v4 = const_value; if (y_low >= 0) { if (x_low >= 0) v1 = src + y_low * src_line_size + x_low * 3; if (x_high < src_width) v2 = src + y_low * src_line_size + x_high * 3; } if (y_high < src_height) { if (x_low >= 0) v3 = src + y_high * src_line_size + x_low * 3; if (x_high < src_width) v4 = src + y_high * src_line_size + x_high * 3; } c0 = w1 * v1[0] + w2 * v2[0] + w3 * v3[0] + w4 * v4[0]; c1 = w1 * v1[1] + w2 * v2[1] + w3 * v3[1] + w4 * v4[1]; c2 = w1 * v1[2] + w2 * v2[2] + w3 * v3[2] + w4 * v4[2]; } //bgr to rgb float t = c2; c2 = c0; c0 = t; //normalization c0 = c0 / 255.0f; c1 = c1 / 255.0f; c2 = c2 / 255.0f; //rgbrgbrgb to rrrgggbbb int area = dst_width * dst_height; float* pdst_c0 = dst + dy * dst_width + dx; float* pdst_c1 = pdst_c0 + area; float* pdst_c2 = pdst_c1 + area; *pdst_c0 = c0; *pdst_c1 = c1; *pdst_c2 = c2; } void preprocess_kernel_img( uint8_t* src, int src_width, int src_height, float* dst, int dst_width, int dst_height, cudaStream_t stream) { AffineMatrix s2d,d2s; float scale = std::min(dst_height / (float)src_height, dst_width / (float)src_width); s2d.value[0] = scale; s2d.value[1] = 0; s2d.value[2] = -scale * src_width * 0.5 + dst_width * 0.5; s2d.value[3] = 0; s2d.value[4] = scale; s2d.value[5] = -scale * src_height * 0.5 + dst_height * 0.5; cv::Mat m2x3_s2d(2, 3, CV_32F, s2d.value); cv::Mat m2x3_d2s(2, 3, CV_32F, d2s.value); cv::invertAffineTransform(m2x3_s2d, m2x3_d2s); memcpy(d2s.value, m2x3_d2s.ptr(0), sizeof(d2s.value)); int jobs = dst_height * dst_width; int threads = 256; int blocks = ceil(jobs / (float)threads); warpaffine_kernel<<>>( src, src_width*3, src_width, src_height, dst, dst_width, dst_height, 128, d2s, jobs); } ================================================ FILE: Jeston nano_tensorrt/preprocess.h ================================================ #ifndef __PREPROCESS_H #define __PREPROCESS_H #include #include struct AffineMatrix{ float value[6]; }; void preprocess_kernel_img(uint8_t* src, int src_width, int src_height, float* dst, int dst_width, int dst_height, cudaStream_t stream); #endif // __PREPROCESS_H ================================================ FILE: Jeston nano_tensorrt/samples ================================================ ../yolov3-spp/samples/ ================================================ FILE: Jeston nano_tensorrt/utils.h ================================================ #ifndef TRTX_YOLOV5_UTILS_H_ #define TRTX_YOLOV5_UTILS_H_ #include #include static inline cv::Mat preprocess_img(cv::Mat& img, int input_w, int input_h) { int w, h, x, y; float r_w = input_w / (img.cols*1.0); float r_h = input_h / (img.rows*1.0); if (r_h > r_w) { w = input_w; h = r_w * img.rows; x = 0; y = (input_h - h) / 2; } else { w = r_h * img.cols; h = input_h; x = (input_w - w) / 2; y = 0; } cv::Mat re(h, w, CV_8UC3); cv::resize(img, re, re.size(), 0, 0, cv::INTER_LINEAR); cv::Mat out(input_h, input_w, CV_8UC3, cv::Scalar(128, 128, 128)); re.copyTo(out(cv::Rect(x, y, re.cols, re.rows))); return out; } static inline int read_files_in_dir(const char *p_dir_name, std::vector &file_names) { DIR *p_dir = opendir(p_dir_name); if (p_dir == nullptr) { return -1; } struct dirent* p_file = nullptr; while ((p_file = readdir(p_dir)) != nullptr) { if (strcmp(p_file->d_name, ".") != 0 && strcmp(p_file->d_name, "..") != 0) { //std::string cur_file_name(p_dir_name); //cur_file_name += "/"; //cur_file_name += p_file->d_name; std::string cur_file_name(p_file->d_name); file_names.push_back(cur_file_name); } } closedir(p_dir); return 0; } #endif // TRTX_YOLOV5_UTILS_H_ ================================================ FILE: Jeston nano_tensorrt/yololayer.cu ================================================ #include #include #include #include "yololayer.h" #include "cuda_utils.h" namespace Tn { template void write(char*& buffer, const T& val) { *reinterpret_cast(buffer) = val; buffer += sizeof(T); } template void read(const char*& buffer, T& val) { val = *reinterpret_cast(buffer); buffer += sizeof(T); } } using namespace Yolo; namespace nvinfer1 { YoloLayerPlugin::YoloLayerPlugin(int classCount, int netWidth, int netHeight, int maxOut, const std::vector& vYoloKernel) { mClassCount = classCount; mYoloV5NetWidth = netWidth; mYoloV5NetHeight = netHeight; mMaxOutObject = maxOut; mYoloKernel = vYoloKernel; mKernelCount = vYoloKernel.size(); CUDA_CHECK(cudaMallocHost(&mAnchor, mKernelCount * sizeof(void*))); size_t AnchorLen = sizeof(float)* CHECK_COUNT * 2; for (int ii = 0; ii < mKernelCount; ii++) { CUDA_CHECK(cudaMalloc(&mAnchor[ii], AnchorLen)); const auto& yolo = mYoloKernel[ii]; CUDA_CHECK(cudaMemcpy(mAnchor[ii], yolo.anchors, AnchorLen, cudaMemcpyHostToDevice)); } } YoloLayerPlugin::~YoloLayerPlugin() { for (int ii = 0; ii < mKernelCount; ii++) { CUDA_CHECK(cudaFree(mAnchor[ii])); } CUDA_CHECK(cudaFreeHost(mAnchor)); } // create the plugin at runtime from a byte stream YoloLayerPlugin::YoloLayerPlugin(const void* data, size_t length) { using namespace Tn; const char *d = reinterpret_cast(data), *a = d; read(d, mClassCount); read(d, mThreadCount); read(d, mKernelCount); read(d, mYoloV5NetWidth); read(d, mYoloV5NetHeight); read(d, mMaxOutObject); mYoloKernel.resize(mKernelCount); auto kernelSize = mKernelCount * sizeof(YoloKernel); memcpy(mYoloKernel.data(), d, kernelSize); d += kernelSize; CUDA_CHECK(cudaMallocHost(&mAnchor, mKernelCount * sizeof(void*))); size_t AnchorLen = sizeof(float)* CHECK_COUNT * 2; for (int ii = 0; ii < mKernelCount; ii++) { CUDA_CHECK(cudaMalloc(&mAnchor[ii], AnchorLen)); const auto& yolo = mYoloKernel[ii]; CUDA_CHECK(cudaMemcpy(mAnchor[ii], yolo.anchors, AnchorLen, cudaMemcpyHostToDevice)); } assert(d == a + length); } void YoloLayerPlugin::serialize(void* buffer) const TRT_NOEXCEPT { using namespace Tn; char* d = static_cast(buffer), *a = d; write(d, mClassCount); write(d, mThreadCount); write(d, mKernelCount); write(d, mYoloV5NetWidth); write(d, mYoloV5NetHeight); write(d, mMaxOutObject); auto kernelSize = mKernelCount * sizeof(YoloKernel); memcpy(d, mYoloKernel.data(), kernelSize); d += kernelSize; assert(d == a + getSerializationSize()); } size_t YoloLayerPlugin::getSerializationSize() const TRT_NOEXCEPT { return sizeof(mClassCount) + sizeof(mThreadCount) + sizeof(mKernelCount) + sizeof(Yolo::YoloKernel) * mYoloKernel.size() + sizeof(mYoloV5NetWidth) + sizeof(mYoloV5NetHeight) + sizeof(mMaxOutObject); } int YoloLayerPlugin::initialize() TRT_NOEXCEPT { return 0; } Dims YoloLayerPlugin::getOutputDimensions(int index, const Dims* inputs, int nbInputDims) TRT_NOEXCEPT { //output the result to channel int totalsize = mMaxOutObject * sizeof(Detection) / sizeof(float); return Dims3(totalsize + 1, 1, 1); } // Set plugin namespace void YoloLayerPlugin::setPluginNamespace(const char* pluginNamespace) TRT_NOEXCEPT { mPluginNamespace = pluginNamespace; } const char* YoloLayerPlugin::getPluginNamespace() const TRT_NOEXCEPT { return mPluginNamespace; } // Return the DataType of the plugin output at the requested index DataType YoloLayerPlugin::getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const TRT_NOEXCEPT { return DataType::kFLOAT; } // Return true if output tensor is broadcast across a batch. bool YoloLayerPlugin::isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const TRT_NOEXCEPT { return false; } // Return true if plugin can use input that is broadcast across batch without replication. bool YoloLayerPlugin::canBroadcastInputAcrossBatch(int inputIndex) const TRT_NOEXCEPT { return false; } void YoloLayerPlugin::configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) TRT_NOEXCEPT { } // Attach the plugin object to an execution context and grant the plugin the access to some context resource. void YoloLayerPlugin::attachToContext(cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) TRT_NOEXCEPT { } // Detach the plugin object from its execution context. void YoloLayerPlugin::detachFromContext() TRT_NOEXCEPT {} const char* YoloLayerPlugin::getPluginType() const TRT_NOEXCEPT { return "YoloLayer_TRT"; } const char* YoloLayerPlugin::getPluginVersion() const TRT_NOEXCEPT { return "1"; } void YoloLayerPlugin::destroy() TRT_NOEXCEPT { delete this; } // Clone the plugin IPluginV2IOExt* YoloLayerPlugin::clone() const TRT_NOEXCEPT { YoloLayerPlugin* p = new YoloLayerPlugin(mClassCount, mYoloV5NetWidth, mYoloV5NetHeight, mMaxOutObject, mYoloKernel); p->setPluginNamespace(mPluginNamespace); return p; } __device__ float Logist(float data) { return 1.0f / (1.0f + expf(-data)); }; __global__ void CalDetection(const float *input, float *output, int noElements, const int netwidth, const int netheight, int maxoutobject, int yoloWidth, int yoloHeight, const float anchors[CHECK_COUNT * 2], int classes, int outputElem) { int idx = threadIdx.x + blockDim.x * blockIdx.x; if (idx >= noElements) return; int total_grid = yoloWidth * yoloHeight; int bnIdx = idx / total_grid; idx = idx - total_grid * bnIdx; int info_len_i = 5 + classes; const float* curInput = input + bnIdx * (info_len_i * total_grid * CHECK_COUNT); for (int k = 0; k < CHECK_COUNT; ++k) { float box_prob = Logist(curInput[idx + k * info_len_i * total_grid + 4 * total_grid]); if (box_prob < IGNORE_THRESH) continue; int class_id = 0; float max_cls_prob = 0.0; for (int i = 5; i < info_len_i; ++i) { float p = Logist(curInput[idx + k * info_len_i * total_grid + i * total_grid]); if (p > max_cls_prob) { max_cls_prob = p; class_id = i - 5; } } float *res_count = output + bnIdx * outputElem; int count = (int)atomicAdd(res_count, 1); if (count >= maxoutobject) return; char *data = (char*)res_count + sizeof(float) + count * sizeof(Detection); Detection *det = (Detection*)(data); int row = idx / yoloWidth; int col = idx % yoloWidth; //Location // pytorch: // y = x[i].sigmoid() // y[..., 0:2] = (y[..., 0:2] * 2. - 0.5 + self.grid[i].to(x[i].device)) * self.stride[i] # xy // y[..., 2:4] = (y[..., 2:4] * 2) ** 2 * self.anchor_grid[i] # wh // X: (sigmoid(tx) + cx)/FeaturemapW * netwidth det->bbox[0] = (col - 0.5f + 2.0f * Logist(curInput[idx + k * info_len_i * total_grid + 0 * total_grid])) * netwidth / yoloWidth; det->bbox[1] = (row - 0.5f + 2.0f * Logist(curInput[idx + k * info_len_i * total_grid + 1 * total_grid])) * netheight / yoloHeight; // W: (Pw * e^tw) / FeaturemapW * netwidth // v5: https://github.com/ultralytics/yolov5/issues/471 det->bbox[2] = 2.0f * Logist(curInput[idx + k * info_len_i * total_grid + 2 * total_grid]); det->bbox[2] = det->bbox[2] * det->bbox[2] * anchors[2 * k]; det->bbox[3] = 2.0f * Logist(curInput[idx + k * info_len_i * total_grid + 3 * total_grid]); det->bbox[3] = det->bbox[3] * det->bbox[3] * anchors[2 * k + 1]; det->conf = box_prob * max_cls_prob; det->class_id = class_id; } } void YoloLayerPlugin::forwardGpu(const float* const* inputs, float *output, cudaStream_t stream, int batchSize) { int outputElem = 1 + mMaxOutObject * sizeof(Detection) / sizeof(float); for (int idx = 0; idx < batchSize; ++idx) { CUDA_CHECK(cudaMemsetAsync(output + idx * outputElem, 0, sizeof(float), stream)); } int numElem = 0; for (unsigned int i = 0; i < mYoloKernel.size(); ++i) { const auto& yolo = mYoloKernel[i]; numElem = yolo.width * yolo.height * batchSize; if (numElem < mThreadCount) mThreadCount = numElem; //printf("Net: %d %d \n", mYoloV5NetWidth, mYoloV5NetHeight); CalDetection << < (numElem + mThreadCount - 1) / mThreadCount, mThreadCount, 0, stream >> > (inputs[i], output, numElem, mYoloV5NetWidth, mYoloV5NetHeight, mMaxOutObject, yolo.width, yolo.height, (float*)mAnchor[i], mClassCount, outputElem); } } int YoloLayerPlugin::enqueue(int batchSize, const void* const* inputs, void* TRT_CONST_ENQUEUE* outputs, void* workspace, cudaStream_t stream) TRT_NOEXCEPT { forwardGpu((const float* const*)inputs, (float*)outputs[0], stream, batchSize); return 0; } PluginFieldCollection YoloPluginCreator::mFC{}; std::vector YoloPluginCreator::mPluginAttributes; YoloPluginCreator::YoloPluginCreator() { mPluginAttributes.clear(); mFC.nbFields = mPluginAttributes.size(); mFC.fields = mPluginAttributes.data(); } const char* YoloPluginCreator::getPluginName() const TRT_NOEXCEPT { return "YoloLayer_TRT"; } const char* YoloPluginCreator::getPluginVersion() const TRT_NOEXCEPT { return "1"; } const PluginFieldCollection* YoloPluginCreator::getFieldNames() TRT_NOEXCEPT { return &mFC; } IPluginV2IOExt* YoloPluginCreator::createPlugin(const char* name, const PluginFieldCollection* fc) TRT_NOEXCEPT { assert(fc->nbFields == 2); assert(strcmp(fc->fields[0].name, "netinfo") == 0); assert(strcmp(fc->fields[1].name, "kernels") == 0); int *p_netinfo = (int*)(fc->fields[0].data); int class_count = p_netinfo[0]; int input_w = p_netinfo[1]; int input_h = p_netinfo[2]; int max_output_object_count = p_netinfo[3]; std::vector kernels(fc->fields[1].length); memcpy(&kernels[0], fc->fields[1].data, kernels.size() * sizeof(Yolo::YoloKernel)); YoloLayerPlugin* obj = new YoloLayerPlugin(class_count, input_w, input_h, max_output_object_count, kernels); obj->setPluginNamespace(mNamespace.c_str()); return obj; } IPluginV2IOExt* YoloPluginCreator::deserializePlugin(const char* name, const void* serialData, size_t serialLength) TRT_NOEXCEPT { // This object will be deleted when the network is destroyed, which will // call YoloLayerPlugin::destroy() YoloLayerPlugin* obj = new YoloLayerPlugin(serialData, serialLength); obj->setPluginNamespace(mNamespace.c_str()); return obj; } } ================================================ FILE: Jeston nano_tensorrt/yololayer.h ================================================ #ifndef _YOLO_LAYER_H #define _YOLO_LAYER_H #include #include #include #include "macros.h" namespace Yolo { static constexpr int CHECK_COUNT = 3; static constexpr float IGNORE_THRESH = 0.1f; struct YoloKernel { int width; int height; float anchors[CHECK_COUNT * 2]; }; static constexpr int MAX_OUTPUT_BBOX_COUNT = 1000; static constexpr int CLASS_NUM = 80; static constexpr int INPUT_H = 480; // yolov5's input height and width must be divisible by 32. static constexpr int INPUT_W = 640; static constexpr int LOCATIONS = 4; struct alignas(float) Detection { //center_x center_y w h float bbox[LOCATIONS]; float conf; // bbox_conf * cls_conf float class_id; }; } namespace nvinfer1 { class API YoloLayerPlugin : public IPluginV2IOExt { public: YoloLayerPlugin(int classCount, int netWidth, int netHeight, int maxOut, const std::vector& vYoloKernel); YoloLayerPlugin(const void* data, size_t length); ~YoloLayerPlugin(); int getNbOutputs() const TRT_NOEXCEPT override { return 1; } Dims getOutputDimensions(int index, const Dims* inputs, int nbInputDims) TRT_NOEXCEPT override; int initialize() TRT_NOEXCEPT override; virtual void terminate() TRT_NOEXCEPT override {}; virtual size_t getWorkspaceSize(int maxBatchSize) const TRT_NOEXCEPT override { return 0; } virtual int enqueue(int batchSize, const void* const* inputs, void*TRT_CONST_ENQUEUE* outputs, void* workspace, cudaStream_t stream) TRT_NOEXCEPT override; virtual size_t getSerializationSize() const TRT_NOEXCEPT override; virtual void serialize(void* buffer) const TRT_NOEXCEPT override; bool supportsFormatCombination(int pos, const PluginTensorDesc* inOut, int nbInputs, int nbOutputs) const TRT_NOEXCEPT override { return inOut[pos].format == TensorFormat::kLINEAR && inOut[pos].type == DataType::kFLOAT; } const char* getPluginType() const TRT_NOEXCEPT override; const char* getPluginVersion() const TRT_NOEXCEPT override; void destroy() TRT_NOEXCEPT override; IPluginV2IOExt* clone() const TRT_NOEXCEPT override; void setPluginNamespace(const char* pluginNamespace) TRT_NOEXCEPT override; const char* getPluginNamespace() const TRT_NOEXCEPT override; DataType getOutputDataType(int index, const nvinfer1::DataType* inputTypes, int nbInputs) const TRT_NOEXCEPT override; bool isOutputBroadcastAcrossBatch(int outputIndex, const bool* inputIsBroadcasted, int nbInputs) const TRT_NOEXCEPT override; bool canBroadcastInputAcrossBatch(int inputIndex) const TRT_NOEXCEPT override; void attachToContext( cudnnContext* cudnnContext, cublasContext* cublasContext, IGpuAllocator* gpuAllocator) TRT_NOEXCEPT override; void configurePlugin(const PluginTensorDesc* in, int nbInput, const PluginTensorDesc* out, int nbOutput) TRT_NOEXCEPT override; void detachFromContext() TRT_NOEXCEPT override; private: void forwardGpu(const float* const* inputs, float *output, cudaStream_t stream, int batchSize = 1); int mThreadCount = 256; const char* mPluginNamespace; int mKernelCount; int mClassCount; int mYoloV5NetWidth; int mYoloV5NetHeight; int mMaxOutObject; std::vector mYoloKernel; void** mAnchor; }; class API YoloPluginCreator : public IPluginCreator { public: YoloPluginCreator(); ~YoloPluginCreator() override = default; const char* getPluginName() const TRT_NOEXCEPT override; const char* getPluginVersion() const TRT_NOEXCEPT override; const PluginFieldCollection* getFieldNames() TRT_NOEXCEPT override; IPluginV2IOExt* createPlugin(const char* name, const PluginFieldCollection* fc) TRT_NOEXCEPT override; IPluginV2IOExt* deserializePlugin(const char* name, const void* serialData, size_t serialLength) TRT_NOEXCEPT override; void setPluginNamespace(const char* libNamespace) TRT_NOEXCEPT override { mNamespace = libNamespace; } const char* getPluginNamespace() const TRT_NOEXCEPT override { return mNamespace.c_str(); } private: std::string mNamespace; static PluginFieldCollection mFC; static std::vector mPluginAttributes; }; REGISTER_TENSORRT_PLUGIN(YoloPluginCreator); }; #endif // _YOLO_LAYER_H ================================================ FILE: Jeston nano_tensorrt/yolov5.cpp ================================================ #include #include #include #include "cuda_utils.h" #include "logging.h" #include "common.hpp" #include "utils.h" #include "calibrator.h" #include "preprocess.h" #include "macros.h" #define USE_FP16 // set USE_INT8 or USE_FP16 or USE_FP32 #define DEVICE 0 // GPU id #define NMS_THRESH 0.4 #define CONF_THRESH 0.5 #define BATCH_SIZE 1 #define MAX_IMAGE_INPUT_SIZE_THRESH 3000 * 3000 // ensure it exceed the maximum size in the input images ! // stuff we know about the network and the input/output blobs static const int INPUT_H = Yolo::INPUT_H; static const int INPUT_W = Yolo::INPUT_W; static const int CLASS_NUM = Yolo::CLASS_NUM; static const int OUTPUT_SIZE = Yolo::MAX_OUTPUT_BBOX_COUNT * sizeof(Yolo::Detection) / sizeof(float) + 1; // we assume the yololayer outputs no more than MAX_OUTPUT_BBOX_COUNT boxes that conf >= 0.1 const char* INPUT_BLOB_NAME = "data"; const char* OUTPUT_BLOB_NAME = "prob"; static Logger gLogger; static int get_width(int x, float gw, int divisor = 8) { return int(ceil((x * gw) / divisor)) * divisor; } static int get_depth(int x, float gd) { if (x == 1) return 1; int r = round(x * gd); if (x * gd - int(x * gd) == 0.5 && (int(x * gd) % 2) == 0) { --r; } return std::max(r, 1); } ICudaEngine* build_engine(unsigned int maxBatchSize, IBuilder* builder, IBuilderConfig* config, DataType dt, float& gd, float& gw, std::string& wts_name) { INetworkDefinition* network = builder->createNetworkV2(0U); // Create input tensor of shape {3, INPUT_H, INPUT_W} with name INPUT_BLOB_NAME ITensor* data = network->addInput(INPUT_BLOB_NAME, dt, Dims3{ 3, INPUT_H, INPUT_W }); assert(data); std::map weightMap = loadWeights(wts_name); /* ------ yolov5 backbone------ */ auto conv0 = convBlock(network, weightMap, *data, get_width(64, gw), 6, 2, 1, "model.0"); assert(conv0); auto conv1 = convBlock(network, weightMap, *conv0->getOutput(0), get_width(128, gw), 3, 2, 1, "model.1"); auto bottleneck_CSP2 = C3(network, weightMap, *conv1->getOutput(0), get_width(128, gw), get_width(128, gw), get_depth(3, gd), true, 1, 0.5, "model.2"); auto conv3 = convBlock(network, weightMap, *bottleneck_CSP2->getOutput(0), get_width(256, gw), 3, 2, 1, "model.3"); auto bottleneck_csp4 = C3(network, weightMap, *conv3->getOutput(0), get_width(256, gw), get_width(256, gw), get_depth(6, gd), true, 1, 0.5, "model.4"); auto conv5 = convBlock(network, weightMap, *bottleneck_csp4->getOutput(0), get_width(512, gw), 3, 2, 1, "model.5"); auto bottleneck_csp6 = C3(network, weightMap, *conv5->getOutput(0), get_width(512, gw), get_width(512, gw), get_depth(9, gd), true, 1, 0.5, "model.6"); auto conv7 = convBlock(network, weightMap, *bottleneck_csp6->getOutput(0), get_width(1024, gw), 3, 2, 1, "model.7"); auto bottleneck_csp8 = C3(network, weightMap, *conv7->getOutput(0), get_width(1024, gw), get_width(1024, gw), get_depth(3, gd), true, 1, 0.5, "model.8"); auto spp9 = SPPF(network, weightMap, *bottleneck_csp8->getOutput(0), get_width(1024, gw), get_width(1024, gw), 5, "model.9"); /* ------ yolov5 head ------ */ auto conv10 = convBlock(network, weightMap, *spp9->getOutput(0), get_width(512, gw), 1, 1, 1, "model.10"); auto upsample11 = network->addResize(*conv10->getOutput(0)); assert(upsample11); upsample11->setResizeMode(ResizeMode::kNEAREST); upsample11->setOutputDimensions(bottleneck_csp6->getOutput(0)->getDimensions()); ITensor* inputTensors12[] = { upsample11->getOutput(0), bottleneck_csp6->getOutput(0) }; auto cat12 = network->addConcatenation(inputTensors12, 2); auto bottleneck_csp13 = C3(network, weightMap, *cat12->getOutput(0), get_width(1024, gw), get_width(512, gw), get_depth(3, gd), false, 1, 0.5, "model.13"); auto conv14 = convBlock(network, weightMap, *bottleneck_csp13->getOutput(0), get_width(256, gw), 1, 1, 1, "model.14"); auto upsample15 = network->addResize(*conv14->getOutput(0)); assert(upsample15); upsample15->setResizeMode(ResizeMode::kNEAREST); upsample15->setOutputDimensions(bottleneck_csp4->getOutput(0)->getDimensions()); ITensor* inputTensors16[] = { upsample15->getOutput(0), bottleneck_csp4->getOutput(0) }; auto cat16 = network->addConcatenation(inputTensors16, 2); auto bottleneck_csp17 = C3(network, weightMap, *cat16->getOutput(0), get_width(512, gw), get_width(256, gw), get_depth(3, gd), false, 1, 0.5, "model.17"); /* ------ detect ------ */ IConvolutionLayer* det0 = network->addConvolutionNd(*bottleneck_csp17->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.24.m.0.weight"], weightMap["model.24.m.0.bias"]); auto conv18 = convBlock(network, weightMap, *bottleneck_csp17->getOutput(0), get_width(256, gw), 3, 2, 1, "model.18"); ITensor* inputTensors19[] = { conv18->getOutput(0), conv14->getOutput(0) }; auto cat19 = network->addConcatenation(inputTensors19, 2); auto bottleneck_csp20 = C3(network, weightMap, *cat19->getOutput(0), get_width(512, gw), get_width(512, gw), get_depth(3, gd), false, 1, 0.5, "model.20"); IConvolutionLayer* det1 = network->addConvolutionNd(*bottleneck_csp20->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.24.m.1.weight"], weightMap["model.24.m.1.bias"]); auto conv21 = convBlock(network, weightMap, *bottleneck_csp20->getOutput(0), get_width(512, gw), 3, 2, 1, "model.21"); ITensor* inputTensors22[] = { conv21->getOutput(0), conv10->getOutput(0) }; auto cat22 = network->addConcatenation(inputTensors22, 2); auto bottleneck_csp23 = C3(network, weightMap, *cat22->getOutput(0), get_width(1024, gw), get_width(1024, gw), get_depth(3, gd), false, 1, 0.5, "model.23"); IConvolutionLayer* det2 = network->addConvolutionNd(*bottleneck_csp23->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.24.m.2.weight"], weightMap["model.24.m.2.bias"]); auto yolo = addYoLoLayer(network, weightMap, "model.24", std::vector{det0, det1, det2}); yolo->getOutput(0)->setName(OUTPUT_BLOB_NAME); network->markOutput(*yolo->getOutput(0)); // Build engine builder->setMaxBatchSize(maxBatchSize); config->setMaxWorkspaceSize(16 * (1 << 20)); // 16MB #if defined(USE_FP16) config->setFlag(BuilderFlag::kFP16); #elif defined(USE_INT8) std::cout << "Your platform support int8: " << (builder->platformHasFastInt8() ? "true" : "false") << std::endl; assert(builder->platformHasFastInt8()); config->setFlag(BuilderFlag::kINT8); Int8EntropyCalibrator2* calibrator = new Int8EntropyCalibrator2(1, INPUT_W, INPUT_H, "./coco_calib/", "int8calib.table", INPUT_BLOB_NAME); config->setInt8Calibrator(calibrator); #endif std::cout << "Building engine, please wait for a while..." << std::endl; ICudaEngine* engine = builder->buildEngineWithConfig(*network, *config); std::cout << "Build engine successfully!" << std::endl; // Don't need the network any more network->destroy(); // Release host memory for (auto& mem : weightMap) { free((void*)(mem.second.values)); } return engine; } ICudaEngine* build_engine_p6(unsigned int maxBatchSize, IBuilder* builder, IBuilderConfig* config, DataType dt, float& gd, float& gw, std::string& wts_name) { INetworkDefinition* network = builder->createNetworkV2(0U); // Create input tensor of shape {3, INPUT_H, INPUT_W} with name INPUT_BLOB_NAME ITensor* data = network->addInput(INPUT_BLOB_NAME, dt, Dims3{ 3, INPUT_H, INPUT_W }); assert(data); std::map weightMap = loadWeights(wts_name); /* ------ yolov5 backbone------ */ auto conv0 = convBlock(network, weightMap, *data, get_width(64, gw), 6, 2, 1, "model.0"); auto conv1 = convBlock(network, weightMap, *conv0->getOutput(0), get_width(128, gw), 3, 2, 1, "model.1"); auto c3_2 = C3(network, weightMap, *conv1->getOutput(0), get_width(128, gw), get_width(128, gw), get_depth(3, gd), true, 1, 0.5, "model.2"); auto conv3 = convBlock(network, weightMap, *c3_2->getOutput(0), get_width(256, gw), 3, 2, 1, "model.3"); auto c3_4 = C3(network, weightMap, *conv3->getOutput(0), get_width(256, gw), get_width(256, gw), get_depth(6, gd), true, 1, 0.5, "model.4"); auto conv5 = convBlock(network, weightMap, *c3_4->getOutput(0), get_width(512, gw), 3, 2, 1, "model.5"); auto c3_6 = C3(network, weightMap, *conv5->getOutput(0), get_width(512, gw), get_width(512, gw), get_depth(9, gd), true, 1, 0.5, "model.6"); auto conv7 = convBlock(network, weightMap, *c3_6->getOutput(0), get_width(768, gw), 3, 2, 1, "model.7"); auto c3_8 = C3(network, weightMap, *conv7->getOutput(0), get_width(768, gw), get_width(768, gw), get_depth(3, gd), true, 1, 0.5, "model.8"); auto conv9 = convBlock(network, weightMap, *c3_8->getOutput(0), get_width(1024, gw), 3, 2, 1, "model.9"); auto c3_10 = C3(network, weightMap, *conv9->getOutput(0), get_width(1024, gw), get_width(1024, gw), get_depth(3, gd), true, 1, 0.5, "model.10"); auto sppf11 = SPPF(network, weightMap, *c3_10->getOutput(0), get_width(1024, gw), get_width(1024, gw), 5, "model.11"); /* ------ yolov5 head ------ */ auto conv12 = convBlock(network, weightMap, *sppf11->getOutput(0), get_width(768, gw), 1, 1, 1, "model.12"); auto upsample13 = network->addResize(*conv12->getOutput(0)); assert(upsample13); upsample13->setResizeMode(ResizeMode::kNEAREST); upsample13->setOutputDimensions(c3_8->getOutput(0)->getDimensions()); ITensor* inputTensors14[] = { upsample13->getOutput(0), c3_8->getOutput(0) }; auto cat14 = network->addConcatenation(inputTensors14, 2); auto c3_15 = C3(network, weightMap, *cat14->getOutput(0), get_width(1536, gw), get_width(768, gw), get_depth(3, gd), false, 1, 0.5, "model.15"); auto conv16 = convBlock(network, weightMap, *c3_15->getOutput(0), get_width(512, gw), 1, 1, 1, "model.16"); auto upsample17 = network->addResize(*conv16->getOutput(0)); assert(upsample17); upsample17->setResizeMode(ResizeMode::kNEAREST); upsample17->setOutputDimensions(c3_6->getOutput(0)->getDimensions()); ITensor* inputTensors18[] = { upsample17->getOutput(0), c3_6->getOutput(0) }; auto cat18 = network->addConcatenation(inputTensors18, 2); auto c3_19 = C3(network, weightMap, *cat18->getOutput(0), get_width(1024, gw), get_width(512, gw), get_depth(3, gd), false, 1, 0.5, "model.19"); auto conv20 = convBlock(network, weightMap, *c3_19->getOutput(0), get_width(256, gw), 1, 1, 1, "model.20"); auto upsample21 = network->addResize(*conv20->getOutput(0)); assert(upsample21); upsample21->setResizeMode(ResizeMode::kNEAREST); upsample21->setOutputDimensions(c3_4->getOutput(0)->getDimensions()); ITensor* inputTensors21[] = { upsample21->getOutput(0), c3_4->getOutput(0) }; auto cat22 = network->addConcatenation(inputTensors21, 2); auto c3_23 = C3(network, weightMap, *cat22->getOutput(0), get_width(512, gw), get_width(256, gw), get_depth(3, gd), false, 1, 0.5, "model.23"); auto conv24 = convBlock(network, weightMap, *c3_23->getOutput(0), get_width(256, gw), 3, 2, 1, "model.24"); ITensor* inputTensors25[] = { conv24->getOutput(0), conv20->getOutput(0) }; auto cat25 = network->addConcatenation(inputTensors25, 2); auto c3_26 = C3(network, weightMap, *cat25->getOutput(0), get_width(1024, gw), get_width(512, gw), get_depth(3, gd), false, 1, 0.5, "model.26"); auto conv27 = convBlock(network, weightMap, *c3_26->getOutput(0), get_width(512, gw), 3, 2, 1, "model.27"); ITensor* inputTensors28[] = { conv27->getOutput(0), conv16->getOutput(0) }; auto cat28 = network->addConcatenation(inputTensors28, 2); auto c3_29 = C3(network, weightMap, *cat28->getOutput(0), get_width(1536, gw), get_width(768, gw), get_depth(3, gd), false, 1, 0.5, "model.29"); auto conv30 = convBlock(network, weightMap, *c3_29->getOutput(0), get_width(768, gw), 3, 2, 1, "model.30"); ITensor* inputTensors31[] = { conv30->getOutput(0), conv12->getOutput(0) }; auto cat31 = network->addConcatenation(inputTensors31, 2); auto c3_32 = C3(network, weightMap, *cat31->getOutput(0), get_width(2048, gw), get_width(1024, gw), get_depth(3, gd), false, 1, 0.5, "model.32"); /* ------ detect ------ */ IConvolutionLayer* det0 = network->addConvolutionNd(*c3_23->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.33.m.0.weight"], weightMap["model.33.m.0.bias"]); IConvolutionLayer* det1 = network->addConvolutionNd(*c3_26->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.33.m.1.weight"], weightMap["model.33.m.1.bias"]); IConvolutionLayer* det2 = network->addConvolutionNd(*c3_29->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.33.m.2.weight"], weightMap["model.33.m.2.bias"]); IConvolutionLayer* det3 = network->addConvolutionNd(*c3_32->getOutput(0), 3 * (Yolo::CLASS_NUM + 5), DimsHW{ 1, 1 }, weightMap["model.33.m.3.weight"], weightMap["model.33.m.3.bias"]); auto yolo = addYoLoLayer(network, weightMap, "model.33", std::vector{det0, det1, det2, det3}); yolo->getOutput(0)->setName(OUTPUT_BLOB_NAME); network->markOutput(*yolo->getOutput(0)); // Build engine builder->setMaxBatchSize(maxBatchSize); config->setMaxWorkspaceSize(16 * (1 << 20)); // 16MB #if defined(USE_FP16) config->setFlag(BuilderFlag::kFP16); #elif defined(USE_INT8) std::cout << "Your platform support int8: " << (builder->platformHasFastInt8() ? "true" : "false") << std::endl; assert(builder->platformHasFastInt8()); config->setFlag(BuilderFlag::kINT8); Int8EntropyCalibrator2* calibrator = new Int8EntropyCalibrator2(1, INPUT_W, INPUT_H, "./coco_calib/", "int8calib.table", INPUT_BLOB_NAME); config->setInt8Calibrator(calibrator); #endif std::cout << "Building engine, please wait for a while..." << std::endl; ICudaEngine* engine = builder->buildEngineWithConfig(*network, *config); std::cout << "Build engine successfully!" << std::endl; // Don't need the network any more network->destroy(); // Release host memory for (auto& mem : weightMap) { free((void*)(mem.second.values)); } return engine; } void APIToModel(unsigned int maxBatchSize, IHostMemory** modelStream, bool& is_p6, float& gd, float& gw, std::string& wts_name) { // Create builder IBuilder* builder = createInferBuilder(gLogger); IBuilderConfig* config = builder->createBuilderConfig(); // Create model to populate the network, then set the outputs and create an engine ICudaEngine *engine = nullptr; if (is_p6) { engine = build_engine_p6(maxBatchSize, builder, config, DataType::kFLOAT, gd, gw, wts_name); } else { engine = build_engine(maxBatchSize, builder, config, DataType::kFLOAT, gd, gw, wts_name); } assert(engine != nullptr); // Serialize the engine (*modelStream) = engine->serialize(); // Close everything down engine->destroy(); builder->destroy(); config->destroy(); } //void doInference(IExecutionContext& context, cudaStream_t& stream, void **buffers, float* output, int batchSize) { // // infer on the batch asynchronously, and DMA output back to host // context.enqueue(batchSize, buffers, stream, nullptr); // CUDA_CHECK(cudaMemcpyAsync(output, buffers[1], batchSize * OUTPUT_SIZE * sizeof(float), cudaMemcpyDeviceToHost, stream)); // cudaStreamSynchronize(stream); //} void doInference(IExecutionContext& context, cudaStream_t& stream, void **buffers, float* input, float* output, int batchSize) { // DMA input batch data to device, infer on the batch asynchronously, and DMA output back to host CUDA_CHECK(cudaMemcpyAsync(buffers[0], input, batchSize * 3 * INPUT_H * INPUT_W * sizeof(float), cudaMemcpyHostToDevice, stream)); context.enqueue(batchSize, buffers, stream, nullptr); CUDA_CHECK(cudaMemcpyAsync(output, buffers[1], batchSize * OUTPUT_SIZE * sizeof(float), cudaMemcpyDeviceToHost, stream)); cudaStreamSynchronize(stream); } bool parse_args(int argc, char** argv, std::string& wts, std::string& engine, bool& is_p6, float& gd, float& gw, std::string& img_dir) { if (argc < 4) return false; if (std::string(argv[1]) == "-s" && (argc == 5 || argc == 7)) { wts = std::string(argv[2]); engine = std::string(argv[3]); auto net = std::string(argv[4]); if (net[0] == 'n') { gd = 0.33; gw = 0.25; } else if (net[0] == 's') { gd = 0.33; gw = 0.50; } else if (net[0] == 'm') { gd = 0.67; gw = 0.75; } else if (net[0] == 'l') { gd = 1.0; gw = 1.0; } else if (net[0] == 'x') { gd = 1.33; gw = 1.25; } else if (net[0] == 'c' && argc == 7) { gd = atof(argv[5]); gw = atof(argv[6]); } else { return false; } if (net.size() == 2 && net[1] == '6') { is_p6 = true; } } else if (std::string(argv[1]) == "-d" && argc == 4) { engine = std::string(argv[2]); img_dir = std::string(argv[3]); } else { return false; } return true; } int main(int argc, char** argv) { cudaSetDevice(DEVICE); std::string wts_name = ""; std::string engine_name = ""; bool is_p6 = false; float gd = 0.0f, gw = 0.0f; std::string img_dir; if (!parse_args(argc, argv, wts_name, engine_name, is_p6, gd, gw, img_dir)) { std::cerr << "arguments not right!" << std::endl; std::cerr << "./yolov5 -s [.wts] [.engine] [n/s/m/l/x/n6/s6/m6/l6/x6 or c/c6 gd gw] // serialize model to plan file" << std::endl; std::cerr << "./yolov5 -d [.engine] ../samples // deserialize plan file and run inference" << std::endl; return -1; } // create a model using the API directly and serialize it to a stream if (!wts_name.empty()) { IHostMemory* modelStream{ nullptr }; APIToModel(BATCH_SIZE, &modelStream, is_p6, gd, gw, wts_name); assert(modelStream != nullptr); std::ofstream p(engine_name, std::ios::binary); if (!p) { std::cerr << "could not open plan output file" << std::endl; return -1; } p.write(reinterpret_cast(modelStream->data()), modelStream->size()); modelStream->destroy(); return 0; } // deserialize the .engine and run inference std::ifstream file(engine_name, std::ios::binary); if (!file.good()) { std::cerr << "read " << engine_name << " error!" << std::endl; return -1; } char *trtModelStream = nullptr; size_t size = 0; file.seekg(0, file.end); size = file.tellg(); file.seekg(0, file.beg); trtModelStream = new char[size]; assert(trtModelStream); file.read(trtModelStream, size); file.close(); std::vector file_names; if (read_files_in_dir(img_dir.c_str(), file_names) < 0) { std::cerr << "read_files_in_dir failed." << std::endl; return -1; } // prepare input data --------------------------- static float data[BATCH_SIZE * 3 * INPUT_H * INPUT_W]; //for (int i = 0; i < 3 * INPUT_H * INPUT_W; i++) // data[i] = 1.0; static float prob[BATCH_SIZE * OUTPUT_SIZE]; IRuntime* runtime = createInferRuntime(gLogger); assert(runtime != nullptr); ICudaEngine* engine = runtime->deserializeCudaEngine(trtModelStream, size); assert(engine != nullptr); IExecutionContext* context = engine->createExecutionContext(); assert(context != nullptr); delete[] trtModelStream; assert(engine->getNbBindings() == 2); void* buffers[2]; // In order to bind the buffers, we need to know the names of the input and output tensors. // Note that indices are guaranteed to be less than IEngine::getNbBindings() const int inputIndex = engine->getBindingIndex(INPUT_BLOB_NAME); const int outputIndex = engine->getBindingIndex(OUTPUT_BLOB_NAME); assert(inputIndex == 0); assert(outputIndex == 1); // Create GPU buffers on device CUDA_CHECK(cudaMalloc(&buffers[inputIndex], BATCH_SIZE * 3 * INPUT_H * INPUT_W * sizeof(float))); CUDA_CHECK(cudaMalloc(&buffers[outputIndex], BATCH_SIZE * OUTPUT_SIZE * sizeof(float))); // Create stream cudaStream_t stream; CUDA_CHECK(cudaStreamCreate(&stream)); int fcount = 0; for (int f = 0; f < (int)file_names.size(); f++) { fcount++; if (fcount < BATCH_SIZE && f + 1 != (int)file_names.size()) continue; for (int b = 0; b < fcount; b++) { cv::Mat img = cv::imread(img_dir + "/" + file_names[f - fcount + 1 + b]); if (img.empty()) continue; cv::Mat pr_img = preprocess_img(img, INPUT_W, INPUT_H); // letterbox BGR to RGB int i = 0; for (int row = 0; row < INPUT_H; ++row) { uchar* uc_pixel = pr_img.data + row * pr_img.step; for (int col = 0; col < INPUT_W; ++col) { data[b * 3 * INPUT_H * INPUT_W + i] = (float)uc_pixel[2] / 255.0; data[b * 3 * INPUT_H * INPUT_W + i + INPUT_H * INPUT_W] = (float)uc_pixel[1] / 255.0; data[b * 3 * INPUT_H * INPUT_W + i + 2 * INPUT_H * INPUT_W] = (float)uc_pixel[0] / 255.0; uc_pixel += 3; ++i; } } } // Run inference auto start = std::chrono::system_clock::now(); doInference(*context, stream, buffers, data, prob, BATCH_SIZE); auto end = std::chrono::system_clock::now(); std::cout << std::chrono::duration_cast(end - start).count() << "ms" << std::endl; std::vector> batch_res(fcount); for (int b = 0; b < fcount; b++) { auto& res = batch_res[b]; nms(res, &prob[b * OUTPUT_SIZE], CONF_THRESH, NMS_THRESH); } for (int b = 0; b < fcount; b++) { auto& res = batch_res[b]; //std::cout << res.size() << std::endl; cv::Mat img = cv::imread(img_dir + "/" + file_names[f - fcount + 1 + b]); for (size_t j = 0; j < res.size(); j++) { cv::Rect r = get_rect(img, res[j].bbox); cv::rectangle(img, r, cv::Scalar(0x27, 0xC1, 0x36), 2); cv::putText(img, std::to_string((int)res[j].class_id), cv::Point(r.x, r.y - 1), cv::FONT_HERSHEY_PLAIN, 1.2, cv::Scalar(0xFF, 0xFF, 0xFF), 2); } cv::imwrite("_" + file_names[f - fcount + 1 + b], img); } fcount = 0; } // Release stream and buffers cudaStreamDestroy(stream); CUDA_CHECK(cudaFree(buffers[inputIndex])); CUDA_CHECK(cudaFree(buffers[outputIndex])); // Destroy the engine context->destroy(); engine->destroy(); runtime->destroy(); // Print histogram of the output distribution //std::cout << "\nOutput:\n\n"; //for (unsigned int i = 0; i < OUTPUT_SIZE; i++) //{ // std::cout << prob[i] << ", "; // if (i % 10 == 0) std::cout << std::endl; //} //std::cout << std::endl; return 0; } typedef struct { float *data; float *prob; IRuntime *runtime; ICudaEngine *engine; IExecutionContext *context; void* buffers[2]; cudaStream_t stream; int inputIndex; int outputIndex; }Yolov5TRTContext; extern "C" API void* Init(char *model_path) { cudaSetDevice(DEVICE); // create a model using the API directly and serialize it to a stream char *trtModelStream{ nullptr }; size_t size_e{ 0 }; std::string engine_name = model_path; std::ifstream file(engine_name, std::ios::binary); Yolov5TRTContext * trt = new Yolov5TRTContext(); if (file.good()) { file.seekg(0, file.end); size_e = file.tellg(); file.seekg(0, file.beg); trtModelStream = new char[size_e]; assert(trtModelStream); file.read(trtModelStream, size_e); file.close(); } trt->runtime = createInferRuntime(gLogger); assert(trt->runtime != nullptr); trt->engine = trt->runtime->deserializeCudaEngine(trtModelStream, size_e); assert(trt->engine != nullptr); trt->context = trt->engine->createExecutionContext(); assert(trt->context != nullptr); //delete[] trtModelStream; assert(trt->engine->getNbBindings() == 2); trt->data = new float[BATCH_SIZE * 3 * INPUT_H * INPUT_W]; trt->prob = new float[BATCH_SIZE * OUTPUT_SIZE]; trt->inputIndex = trt->engine->getBindingIndex(INPUT_BLOB_NAME); trt->outputIndex = trt->engine->getBindingIndex(OUTPUT_BLOB_NAME); assert(trt->inputIndex == 0); assert(trt->outputIndex == 1); // Create GPU buffers on device CUDA_CHECK(cudaMalloc(&trt->buffers[trt->inputIndex], BATCH_SIZE * 3 * INPUT_H * INPUT_W * sizeof(float))); CUDA_CHECK(cudaMalloc(&trt->buffers[trt->outputIndex], BATCH_SIZE * OUTPUT_SIZE * sizeof(float))); // Create stream CUDA_CHECK(cudaStreamCreate(&trt->stream)); // In order to bind the buffers, we need to know the names of the input and output tensors. // Note that indices are guaranteed to be less than IEngine::getNbBindings() return (void*)trt; } extern "C" API void Detect(void *h, int rows, int cols, unsigned char *src_data, float(*res_array)[6]) { Yolov5TRTContext *trt = (Yolov5TRTContext *)h; cv::Mat img = cv::Mat(rows, cols, CV_8UC3, src_data); // prepare input data --------------------------- cv::Mat pr_img = preprocess_img(img, INPUT_W, INPUT_H); // letterbox BGR to RGB int i = 0; for (int row = 0; row < INPUT_H; ++row) { uchar* uc_pixel = pr_img.data + row * pr_img.step; for (int col = 0; col < INPUT_W; ++col) { trt->data[0 * 3 * INPUT_H * INPUT_W + i] = (float)uc_pixel[2] / 255.0; trt->data[0 * 3 * INPUT_H * INPUT_W + i + INPUT_H * INPUT_W] = (float)uc_pixel[1] / 255.0; trt->data[0 * 3 * INPUT_H * INPUT_W + i + 2 * INPUT_H * INPUT_W] = (float)uc_pixel[0] / 255.0; uc_pixel += 3; ++i; } } // Run inference doInference(*trt->context, trt->stream, trt->buffers, trt->data, trt->prob, BATCH_SIZE); std::vector> batch_res(1); auto& res = batch_res[0]; nms(res, &trt->prob[0 * OUTPUT_SIZE], CONF_THRESH, NMS_THRESH); int len = res.size(); for (size_t j = 0; j < res.size(); j++) { cv::Rect r = get_rect(img, res[j].bbox); res_array[j][0] = r.x; res_array[j][1] = r.y; res_array[j][2] = r.width; res_array[j][3] = r.height; res_array[j][4] = res[j].class_id; res_array[j][5] = res[j].conf; } } extern "C" API void cuda_free(void*h) { Yolov5TRTContext *trt = (Yolov5TRTContext *)h; cudaStreamDestroy(trt->stream); CUDA_CHECK(cudaFree(trt->buffers[trt->inputIndex])); CUDA_CHECK(cudaFree(trt->buffers[trt->outputIndex])); trt->context->destroy(); trt->engine->destroy(); trt->runtime->destroy(); } ================================================ FILE: Jeston nano_tensorrt/部署/python_trt.py ================================================ from ctypes import * import cv2 import numpy as np import numpy.ctypeslib as npct import time import math from PIL import Image # -----------------------------------双目相机的基本参数--------------------------------------------------------- # left_camera_matrix 左相机的内参矩阵 # right_camera_matrix 右相机的内参矩阵 # # left_distortion 左相机的畸变系数 格式(K1,K2,P1,P2,0) # right_distortion 右相机的畸变系数 # ------------------------------------------------------------------------------------------------------------- # 左镜头的内参,如焦距 left_camera_matrix = np.array([[516.5066236,-1.444673028,320.2950423],[0,516.5816117,270.7881873],[0.,0.,1.]]) right_camera_matrix = np.array([[511.8428182,1.295112628,317.310253],[0,513.0748795,269.5885026],[0.,0.,1.]]) # 畸变系数,K1、K2、K3为径向畸变,P1、P2为切向畸变 left_distortion = np.array([[-0.046645194,0.077595167, 0.012476819,-0.000711358,0]]) right_distortion = np.array([[-0.061588946,0.122384376,0.011081232,-0.000750439,0]]) # 旋转矩阵 R = np.array([[0.999911333,-0.004351508,0.012585312], [0.004184066,0.999902792,0.013300386], [-0.012641965,-0.013246549,0.999832341]]) # 平移矩阵 T = np.array([-120.3559901,-0.188953775,-0.662073075]) size = (640, 480) R1, R2, P1, P2, Q, validPixROI1, validPixROI2 = cv2.stereoRectify(left_camera_matrix, left_distortion, right_camera_matrix, right_distortion, size, R, T) # 校正查找映射表,将原始图像和校正后的图像上的点一一对应起来 left_map1, left_map2 = cv2.initUndistortRectifyMap(left_camera_matrix, left_distortion, R1, P1, size, cv2.CV_16SC2) right_map1, right_map2 = cv2.initUndistortRectifyMap(right_camera_matrix, right_distortion, R2, P2, size, cv2.CV_16SC2) print(Q) # --------------------------------------------------------------------------------------------------------- # classes coco数据集的种类,网络返回‘0’时,对应着person,依次类推 # --------------------------------------------------------------------------------------------------------- classes = ('person','bicycle','car','motorbike','aeroplane','bus','train','truck','boat','traffic light', 'fire hydrant','stop sign','parking meter','bench','bird','cat','dog','horse','sheep','cow','elephant', 'bear','zebra','giraffe','backpack','umbrella','handbag','tie','suitcase','frisbee','skis','snowboard', 'sports ball','kite','baseball bat','baseball glove','skateboard','surfboard','tennis racket','bottle', 'wine glass','cup','fork','knife','spoon','bowl','banana','apple','sandwich','orange','broccoli','carrot', 'hot dog','pizza','donut','cake','chair','sofa','pottedplant','bed','diningtable','toilet','tvmonitor', 'laptop','mouse','remote','keyboard','cell phone','microwave','oven','toaster','sink','refrigerator', 'book','clock','vase','scissors','teddy bear','hair drier','toothbrush') # --------------------------------------------------------------------------------------------------------- # Detector() 配置tensorrt加速 # --------------------------------------------------------------------------------------------------------- class Detector(): def __init__(self,model_path,dll_path): self.yolov5 = CDLL(dll_path) self.yolov5.Detect.argtypes = [c_void_p,c_int,c_int,POINTER(c_ubyte),npct.ndpointer(dtype = np.float32, ndim = 2, shape = (50, 6), flags="C_CONTIGUOUS")] self.yolov5.Init.restype = c_void_p self.yolov5.Init.argtypes = [c_void_p] self.yolov5.cuda_free.argtypes = [c_void_p] self.c_point = self.yolov5.Init(model_path) def predict(self,img): rows, cols = img.shape[0], img.shape[1] res_arr = np.zeros((50,6),dtype=np.float32) self.yolov5.Detect(self.c_point,c_int(rows), c_int(cols), img.ctypes.data_as(POINTER(c_ubyte)),res_arr) self.bbox_array = res_arr[~(res_arr==0).all(1)] return self.bbox_array def free(self): self.yolov5.cuda_free(self.c_point) # ------------------------------------visualize可视化程序------------------------------------------------------- # img 输入的图片 # bbox_array 多组yolo网络预测的结果 # middle_x、middle_y 检测目标的中心点坐标,用于测出距离distance # ------------------------------------------------------------------------------------------------------------- def visualize(img,bbox_array): for temp in bbox_array: bbox = [temp[0],temp[1],temp[2],temp[3]] #xywh clas = int(temp[4]) score = temp[5] middle_x = int(np.floor(temp[0]+temp[2]*0.5)) middle_y = int(np.floor(temp[1]+temp[3]*0.5)) distance = math.sqrt(threeD[middle_y][middle_x][0] ** 2 + threeD[middle_y][middle_x][1] ** 2 + threeD[middle_y][middle_x][2] ** 2) distance = distance / 1000.0 # mm -> m cv2.rectangle(img,(int(temp[0]),int(temp[1])),(int(temp[0]+temp[2]),int(temp[1]+temp[3])), (0, 0, 225), 2) img = cv2.putText(img, str(classes[int(clas)])+" "+str(round(score,2))+" dis="+str(round(distance,2)), (int(temp[0]),int(temp[1])-5), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 225), 2) return img #---------------------------------------------------# # 对输入图像进行不失真resize #---------------------------------------------------# def resize_image(image, size): iw, ih = image.size w, h = size scale = min(w/iw, h/ih) nw = int(iw*scale) nh = int(ih*scale) image = image.resize((nw,nh), Image.BICUBIC) new_image = Image.new('RGB', size, (128,128,128)) new_image.paste(image, ((w-nw)//2, (h-nh)//2)) return new_image #----------------------加载推理所需要的engine、dll文件---------------------------------# # yolov5s_480 图片推理的输入格式为640x480 # yolov5 图片推理的输入格式为640x640,若使用它,需要打开182行的resize函数 #------------------------------------------------------------------------------------# det = Detector(model_path=b"./yolov5s.engine",dll_path="./libyolov5.so") # b'' is needed # 加载视频文件 capture = cv2.VideoCapture("car.avi") WIN_NAME = 'Deep disp' cv2.namedWindow(WIN_NAME, cv2.WINDOW_AUTOSIZE) # 3 读取视频 fps = 0.0 ret, frame = capture.read() while ret: # 是否读取到了帧,读取到了则为True ret, frame = capture.read() # 开始计时,用于计算帧率 t1 = time.time() img_color = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frame1 = frame[0:480, 0:640] frame2 = frame[0:480, 640:1280] # 割开双目图像 imgL = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY) # 将BGR格式转换成灰度图片 imgR = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY) # cv2.remap 重映射,就是把一幅图像中某位置的像素放置到另一个图片指定位置的过程。 # 依据MATLAB测量数据重建无畸变图片 img1_rectified = cv2.remap(imgL, left_map1, left_map2, cv2.INTER_LINEAR) img2_rectified = cv2.remap(imgR, right_map1, right_map2, cv2.INTER_LINEAR) imageL = cv2.cvtColor(img1_rectified, cv2.COLOR_GRAY2BGR) imageR = cv2.cvtColor(img2_rectified, cv2.COLOR_GRAY2BGR) # ------------------------------------SGBM算法---------------------------------------------------------- # blockSize 深度图成块,blocksize越低,其深度图就越零碎,0 ## 项目日志 - [x] 双目相机的标定和初始化(2022.7.3) - [x] 运行BM、SGBM算法(2022.7.6) - [x] 研究SGBM算法并得出良好的open3d模型(2022.7.15) - [x] 实现双目测距(2022.7.27) - [x] 双目相机测出Yolov5检测物体的距离(2022.7.29) - [x] 视频帧率提高至6FPS(2022.7.30) - [x] 使用C++重勾BM算法(2022.8.1) - [x] 使用C++重构SGBM算法(2022.8.1) - [x] 使用TensorRT、C++部署yolov5模型(2022.8.3) - [x] 完成项目,帧率至少达到20FPS(2022.8.3) - [x] 新增`Jeston nano`部署文件 ## 环境说明 - 🔥Tensorrt 8.4 - 🚀Cuda 11.6.1 Cudnn 8.4.1 - Opencv 4.5.1 - Cmake 3.23.3 - Visual Studio 2017 - MX350,Windows10 ## 文件说明 - 💼**BM、SGBM**算法均有C++和Python两个版本 - 📂**tensorrt**:模型部署文件,帧率为23fps - 📁**yolov5-v6.1-pytorch-master**:未部署前的python代码文件,帧率为5fps - **stereo_introduce**:双目摄像头基本资料 - 📒**双目视觉资料**:从双目相机的标定(Matlab)到sgbm生成深度图的图文教程 - **stereo_shot.py**:摄像头拍摄代码 - 🎁**Jeston nano_tensorrt**:Jeston nano(Linux)部署资料 ## 怎么用? ### 双目相机的标定:https://www.bilibili.com/video/BV1GP41157Ti ### SGBM算法应用(Python版):https://www.bilibili.com/video/BV1zT411w7oZ ### 在YOLOv5中加入双目测距,实现目标测距:https://www.bilibili.com/video/BV1qG41147ZW ### Jeston nano部署yolov5,并实现双目测距:https://www.bilibili.com/video/BV15g411Q7ZV ## 参考资料 1. 🍔YOLOv5 Tensorrt Python/C++部署:https://www.bilibili.com/video/BV113411J7nk/?spm_id_from=333.788.recommend_more_video.-1&vd_source=97aec9e652524c83bb4f4b9481ee059e 2. 🍞Pytorch 搭建自己的YoloV5目标检测平台Bubbliiiing:https://www.bilibili.com/video/BV1FZ4y1m777?spm_id_from=333.999.0.0 3. 🍟双目摄像头-立体视觉:https://blog.csdn.net/qq_41204464/category_10766478.html?spm=1001.2014.3001.5482) 4. CUDA的正确安装/升级/重装/使用方式:https://zhuanlan.zhihu.com/p/520536351 5. 报错【Could not locate zlibwapi.dll. Please make sure it is in your library path】:https://blog.csdn.net/qq_44224801/article/details/125525721 6. 🍿windows下 C++ openCV配置及x86编译(傻瓜式教程):https://blog.csdn.net/qq_37059136/article/details/124165080 7. 树莓派安装pytorch:https://blog.csdn.net/weixin_53798505/article/details/125235377 8. 树莓派开机自启动:https://blog.csdn.net/TohkaQAQ/article/details/121056564 ================================================ FILE: SGBM(C++)/SGBM.cpp ================================================ /* ˫Ŀ */ #include #include #include using namespace std; using namespace cv; const int imageWidth = 640; //ͷķֱ const int imageHeight = 480; Vec3f point3; float d; Size imageSize = Size(imageWidth, imageHeight); Mat img; Mat rgbImageL, grayImageL; Mat rgbImageR, grayImageR; Mat rectifyImageL, rectifyImageR; Rect m_l_select; Rect m_r_select; Rect validROIL;//ͼУ֮󣬻ͼвüvalidROIָü֮ Rect validROIR; Mat mapLx, mapLy, mapRx, mapRy; //ӳ Mat Rl, Rr, Pl, Pr, Q; //УתRͶӰP ͶӰQ Mat xyz; //ά Point origin; //갴µʼ Rect selection; //ѡ bool selectObject = false; //Ƿѡ int blockSize = 8, mindisparity = 1, ndisparities = 64, img_channels = 3; Ptr sgbm = cv::StereoSGBM::create(mindisparity, ndisparities, blockSize); /*ȱ궨õڲξ fx 0 cx 0 fy cy 0 0 1 */ Mat cameraMatrixL = (Mat_(3, 3) << 516.5066236, -1.444673028, 320.2950423, 0, 516.5816117, 270.7881873, 0, 0, 1.); //õĻ /*418.523322187048 0 0 -1.26842201390676 421.222568242056 0 344.758267538961 243.318992284899 1 */ //2 Mat distCoeffL = (Mat_(5, 1) << -0.046645194, 0.077595167, 0.012476819, -0.000711358, 0); //[0.006636837611004,0.050240447649195] [0.006681263320267,0.003130367429418] /*ȱ궨õڲξ fx 0 cx 0 fy cy 0 0 1 */ Mat cameraMatrixR = (Mat_(3, 3) << 511.8428182, 1.295112628, 317.310253, 0, 513.0748795, 269.5885026, 0, 0, 1); /* 417.417985082506 0 0 0.498638151824367 419.795432389420 0 309.903372309072 236.256106972796 1 */ //2 Mat distCoeffR = (Mat_(5, 1) << -0.061588946, 0.122384376, 0.011081232, -0.000750439, 0); //[-0.038407383078874,0.236392800301615] [0.004121779274885,0.002296129959664] Mat T = (Mat_(3, 1) << -120.3559901, -0.188953775, -0.662073075);//Tƽ //[-1.210187345641146e+02,0.519235426836325,-0.425535566316217] //ӦMatlabT //Mat rec = (Mat_(3, 1) << -0.00306, -0.03207, 0.00206);//recתӦmatlab om Mat rec = (Mat_(3, 3) << 0.999911333, -0.004351508, 0.012585312, 0.004184066, 0.999902792, 0.013300386, -0.012641965, -0.013246549, 0.999832341); //recתӦmatlab om /* 0.999341122700880 0.000660748031451783 -0.0362888948713456 -0.00206388651740061 0.999250989651683 -0.0386419468010579 0.0362361815232777 0.0386913826603732 0.998593969567432 */ //Mat T = (Mat_(3, 1) << -48.4, 0.241, -0.0344);//Tƽ //[-1.210187345641146e+02,0.519235426836325,-0.425535566316217] //ӦMatlabT Mat R;//R ת /*****ƥ*****/ void stereo_match(int, void*) { /* bm->setBlockSize(2 * blockSize + 5); //SADڴС5~21֮Ϊ bm->setROI1(validROIL); bm->setROI2(validROIR); bm->setPreFilterCap(31); bm->setMinDisparity(0); //СӲĬֵΪ0, Ǹֵint bm->setNumDisparities(numDisparities * 16 + 16);//ӲڣӲֵСӲֵ֮,ڴС16int bm->setTextureThreshold(10); bm->setUniquenessRatio(uniquenessRatio);//uniquenessRatioҪԷֹƥ bm->setSpeckleWindowSize(100); bm->setSpeckleRange(32); bm->setDisp12MaxDiff(-1); */ int P1 = 8 * img_channels * blockSize * blockSize; int P2 = 32 * img_channels * blockSize * blockSize; sgbm->setP1(P1); sgbm->setP2(P2); sgbm->setPreFilterCap(1); sgbm->setUniquenessRatio(10); sgbm->setSpeckleRange(100); sgbm->setSpeckleWindowSize(100); sgbm->setDisp12MaxDiff(-1); //sgbm->setNumDisparities(1); sgbm->setMode(cv::StereoSGBM::MODE_HH); Mat disp, disp8; sgbm->compute(rectifyImageL, rectifyImageR, disp);//ͼΪҶͼ disp8 = Mat(disp.rows, disp.cols, CV_8UC1); normalize(disp, disp8, 0, 255, NORM_MINMAX, CV_8UC1); reprojectImageTo3D(disp, xyz, Q, true); //ʵʱReprojectTo3DX / W, Y / W, Z / WҪ16(ҲW16)ܵõȷάϢ xyz = xyz * 16; imshow("disparity", disp8); } /*****ص*****/ static void onMouse(int event, int x, int y, int, void*) { if (selectObject) { selection.x = MIN(x, origin.x); selection.y = MIN(y, origin.y); selection.width = std::abs(x - origin.x); selection.height = std::abs(y - origin.y); } switch (event) { case EVENT_LBUTTONDOWN: //ťµ¼ origin = Point(x, y); selection = Rect(x, y, 0, 0); selectObject = true; //cout << origin << "in world coordinate is: " << xyz.at(origin) << endl; point3 = xyz.at(origin); point3[0]; //cout << "point3[0]:" << point3[0] << "point3[1]:" << point3[1] << "point3[2]:" << point3[2]< 0 && selection.height > 0) break; } } /**********/ int main() { /* У */ Rodrigues(rec, R); //Rodrigues任 stereoRectify(cameraMatrixL, distCoeffL, cameraMatrixR, distCoeffR, imageSize, R, T, Rl, Rr, Pl, Pr, Q, CALIB_ZERO_DISPARITY, 0, imageSize, &validROIL, &validROIR); initUndistortRectifyMap(cameraMatrixL, distCoeffL, Rl, Pr, imageSize, CV_32FC1, mapLx, mapLy); initUndistortRectifyMap(cameraMatrixR, distCoeffR, Rr, Pr, imageSize, CV_32FC1, mapRx, mapRy); /* ȡͼƬ */ m_l_select = Rect(0, 0, 640, 480); img = imread("car.jpg", IMREAD_COLOR); //imshow("Image", img); rgbImageL = img(m_l_select); cvtColor(rgbImageL, grayImageL, COLOR_BGR2GRAY); m_r_select = Rect(640, 0, 640, 480); rgbImageR = img(m_r_select); cvtColor(rgbImageR, grayImageR, COLOR_BGR2GRAY); //imshow("ImageL", rgbImageL); //imshow("ImageR", rgbImageR); /* remap֮ͼѾ沢ж׼ */ remap(grayImageL, rectifyImageL, mapLx, mapLy, INTER_LINEAR); remap(grayImageR, rectifyImageR, mapRx, mapRy, INTER_LINEAR); /* Уʾ */ Mat rgbRectifyImageL, rgbRectifyImageR; cvtColor(rectifyImageL, rgbRectifyImageL, COLOR_GRAY2BGR); //αɫͼ cvtColor(rectifyImageR, rgbRectifyImageR, COLOR_GRAY2BGR); //ʾ //rectangle(rgbRectifyImageL, validROIL, Scalar(0, 0, 255), 3, 8); //rectangle(rgbRectifyImageR, validROIR, Scalar(0, 0, 255), 3, 8); //imshow("ImageL After Rectify", rgbRectifyImageL); //imshow("ImageR After Rectify", rgbRectifyImageR); //ʾͬһͼ Mat canvas; double sf; int w, h; sf = 600. / MAX(imageSize.width, imageSize.height); w = cvRound(imageSize.width * sf); h = cvRound(imageSize.height * sf); canvas.create(h, w * 2, CV_8UC3); //עͨ //ͼ񻭵 Mat canvasPart = canvas(Rect(w * 0, 0, w, h)); //õһ resize(rgbRectifyImageL, canvasPart, canvasPart.size(), 0, 0, INTER_AREA); //ͼŵcanvasPartһС Rect vroiL(cvRound(validROIL.x*sf), cvRound(validROIL.y*sf), //ñȡ cvRound(validROIL.width*sf), cvRound(validROIL.height*sf)); //rectangle(canvasPart, vroiL, Scalar(0, 0, 255), 3, 8); //һ cout << "Painted ImageL" << endl; //ͼ񻭵 canvasPart = canvas(Rect(w, 0, w, h)); //ûһ resize(rgbRectifyImageR, canvasPart, canvasPart.size(), 0, 0, INTER_LINEAR); Rect vroiR(cvRound(validROIR.x * sf), cvRound(validROIR.y*sf), cvRound(validROIR.width * sf), cvRound(validROIR.height * sf)); //rectangle(canvasPart, vroiR, Scalar(0, 0, 255), 3, 8); cout << "Painted ImageR" << endl; //϶Ӧ for (int i = 0; i < canvas.rows; i += 16) line(canvas, Point(0, i), Point(canvas.cols, i), Scalar(0, 255, 0), 1, 8); imshow("rectified", canvas); /* ƥ */ namedWindow("disparity", WINDOW_AUTOSIZE); /*************************οӻ**********************************************/ // SAD Trackbar //createTrackbar("BlockSize:\n", "disparity", &blockSize, 8, stereo_match); // ӲΨһ԰ٷֱȴ Trackbar //createTrackbar("UniquenessRatio:\n", "disparity", &uniquenessRatio, 50, stereo_match); // Ӳ Trackbar //createTrackbar("NumDisparities:\n", "disparity", &numDisparities, 16, stereo_match); //ӦsetMouseCallback(, ص, صIJһȡ0) setMouseCallback("disparity", onMouse, 0); stereo_match(0, 0); waitKey(); return 0; } ================================================ FILE: SGBM(Python)/sgbm-video.py ================================================ import cv2 import numpy as np import time import random import math # -----------------------------------双目相机的基本参数--------------------------------------------------------- # left_camera_matrix 左相机的内参矩阵 # right_camera_matrix 右相机的内参矩阵 # # left_distortion 左相机的畸变系数 格式(K1,K2,P1,P2,0) # right_distortion 右相机的畸变系数 # ------------------------------------------------------------------------------------------------------------- # 左镜头的内参,如焦距 left_camera_matrix = np.array([[516.5066236,-1.444673028,320.2950423],[0,516.5816117,270.7881873],[0.,0.,1.]]) right_camera_matrix = np.array([[511.8428182,1.295112628,317.310253],[0,513.0748795,269.5885026],[0.,0.,1.]]) # 畸变系数,K1、K2、K3为径向畸变,P1、P2为切向畸变 left_distortion = np.array([[-0.046645194,0.077595167, 0.012476819,-0.000711358,0]]) right_distortion = np.array([[-0.061588946,0.122384376,0.011081232,-0.000750439,0]]) # 旋转矩阵 R = np.array([[0.999911333,-0.004351508,0.012585312], [0.004184066,0.999902792,0.013300386], [-0.012641965,-0.013246549,0.999832341]]) # 平移矩阵 T = np.array([-120.3559901,-0.188953775,-0.662073075]) size = (640, 480) R1, R2, P1, P2, Q, validPixROI1, validPixROI2 = cv2.stereoRectify(left_camera_matrix, left_distortion, right_camera_matrix, right_distortion, size, R, T) # 校正查找映射表,将原始图像和校正后的图像上的点一一对应起来 left_map1, left_map2 = cv2.initUndistortRectifyMap(left_camera_matrix, left_distortion, R1, P1, size, cv2.CV_16SC2) right_map1, right_map2 = cv2.initUndistortRectifyMap(right_camera_matrix, right_distortion, R2, P2, size, cv2.CV_16SC2) print(Q) # --------------------------鼠标回调函数--------------------------------------------------------- # event 鼠标事件 # param 输入参数 # ----------------------------------------------------------------------------------------------- def onmouse_pick_points(event, x, y, flags, param): if event == cv2.EVENT_LBUTTONDOWN: threeD = param print('\n像素坐标 x = %d, y = %d' % (x, y)) # print("世界坐标是:", threeD[y][x][0], threeD[y][x][1], threeD[y][x][2], "mm") print("世界坐标xyz 是:", threeD[y][x][0] / 1000.0, threeD[y][x][1] / 1000.0, threeD[y][x][2] / 1000.0, "m") distance = math.sqrt(threeD[y][x][0] ** 2 + threeD[y][x][1] ** 2 + threeD[y][x][2] ** 2) distance = distance / 1000.0 # mm -> m print("距离是:", distance, "m") # 加载视频文件 capture = cv2.VideoCapture("./car.avi") WIN_NAME = 'Deep disp' cv2.namedWindow(WIN_NAME, cv2.WINDOW_AUTOSIZE) # 读取视频 fps = 0.0 ret, frame = capture.read() while ret: # 开始计时 t1 = time.time() # 是否读取到了帧,读取到了则为True ret, frame = capture.read() # 切割为左右两张图片 frame1 = frame[0:480, 0:640] frame2 = frame[0:480, 640:1280] # 将BGR格式转换成灰度图片,用于畸变矫正 imgL = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY) imgR = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY) # 重映射,就是把一幅图像中某位置的像素放置到另一个图片指定位置的过程。 # 依据MATLAB测量数据重建无畸变图片,输入图片要求为灰度图 img1_rectified = cv2.remap(imgL, left_map1, left_map2, cv2.INTER_LINEAR) img2_rectified = cv2.remap(imgR, right_map1, right_map2, cv2.INTER_LINEAR) # 转换为opencv的BGR格式 imageL = cv2.cvtColor(img1_rectified, cv2.COLOR_GRAY2BGR) imageR = cv2.cvtColor(img2_rectified, cv2.COLOR_GRAY2BGR) # ------------------------------------SGBM算法---------------------------------------------------------- # blockSize 深度图成块,blocksize越低,其深度图就越零碎,0 m cv2.rectangle(img,(int(temp[0]),int(temp[1])),(int(temp[0]+temp[2]),int(temp[1]+temp[3])), (0, 0, 225), 2) img = cv2.putText(img, str(classes[int(clas)])+" "+str(round(score,2))+" dis="+str(round(distance,2)), (int(temp[0]),int(temp[1])-5), cv2.FONT_HERSHEY_SIMPLEX, 0.6, (0, 0, 225), 2) return img #---------------------------------------------------# # 对输入图像进行不失真resize #---------------------------------------------------# def resize_image(image, size): iw, ih = image.size w, h = size scale = min(w/iw, h/ih) nw = int(iw*scale) nh = int(ih*scale) image = image.resize((nw,nh), Image.BICUBIC) new_image = Image.new('RGB', size, (128,128,128)) new_image.paste(image, ((w-nw)//2, (h-nh)//2)) return new_image #----------------------加载推理所需要的engine、dll文件---------------------------------# # yolov5s_480 图片推理的输入格式为640x480 # yolov5 图片推理的输入格式为640x640,若使用它,需要打开182行的resize函数 #------------------------------------------------------------------------------------# det = Detector(model_path=b"D:\GDEE\Project\Release\yolov5s_480.engine",dll_path="D:\GDEE\Project\Release\yolov5s_480.dll") # b'' is needed # 加载视频文件 capture = cv2.VideoCapture("output.avi") WIN_NAME = 'Deep disp' cv2.namedWindow(WIN_NAME, cv2.WINDOW_AUTOSIZE) # 3 读取视频 fps = 0.0 ret, frame = capture.read() while ret: # 是否读取到了帧,读取到了则为True ret, frame = capture.read() # 开始计时,用于计算帧率 t1 = time.time() img_color = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) frame1 = frame[0:480, 0:640] frame2 = frame[0:480, 640:1280] # 割开双目图像 imgL = cv2.cvtColor(frame1, cv2.COLOR_BGR2GRAY) # 将BGR格式转换成灰度图片 imgR = cv2.cvtColor(frame2, cv2.COLOR_BGR2GRAY) # cv2.remap 重映射,就是把一幅图像中某位置的像素放置到另一个图片指定位置的过程。 # 依据MATLAB测量数据重建无畸变图片 img1_rectified = cv2.remap(imgL, left_map1, left_map2, cv2.INTER_LINEAR) img2_rectified = cv2.remap(imgR, right_map1, right_map2, cv2.INTER_LINEAR) imageL = cv2.cvtColor(img1_rectified, cv2.COLOR_GRAY2BGR) imageR = cv2.cvtColor(img2_rectified, cv2.COLOR_GRAY2BGR) # ------------------------------------SGBM算法---------------------------------------------------------- # blockSize 深度图成块,blocksize越低,其深度图就越零碎,0 // SPDX-License-Identifier: MIT /****************************************************************************\ * Note on documentation: The source files contain links to the online * * documentation of the public API at https://json.nlohmann.me. This URL * * contains the most recent documentation and should also be applicable to * * previous versions; documentation for deprecated functions is not * * removed, but marked deprecated. See "Generate documentation" section in * * file docs/README.md. * \****************************************************************************/ #ifndef INCLUDE_NLOHMANN_JSON_HPP_ #define INCLUDE_NLOHMANN_JSON_HPP_ #include // all_of, find, for_each #include // nullptr_t, ptrdiff_t, size_t #include // hash, less #include // initializer_list #ifndef JSON_NO_IO #include // istream, ostream #endif // JSON_NO_IO #include // random_access_iterator_tag #include // unique_ptr #include // string, stoi, to_string #include // declval, forward, move, pair, swap #include // vector // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT // This file contains all macro definitions affecting or depending on the ABI #ifndef JSON_SKIP_LIBRARY_VERSION_CHECK #if defined(NLOHMANN_JSON_VERSION_MAJOR) && defined(NLOHMANN_JSON_VERSION_MINOR) && defined(NLOHMANN_JSON_VERSION_PATCH) #if NLOHMANN_JSON_VERSION_MAJOR != 3 || NLOHMANN_JSON_VERSION_MINOR != 12 || NLOHMANN_JSON_VERSION_PATCH != 0 #warning "Already included a different version of the library!" #endif #endif #endif #define NLOHMANN_JSON_VERSION_MAJOR 3 // NOLINT(modernize-macro-to-enum) #define NLOHMANN_JSON_VERSION_MINOR 12 // NOLINT(modernize-macro-to-enum) #define NLOHMANN_JSON_VERSION_PATCH 0 // NOLINT(modernize-macro-to-enum) #ifndef JSON_DIAGNOSTICS #define JSON_DIAGNOSTICS 0 #endif #ifndef JSON_DIAGNOSTIC_POSITIONS #define JSON_DIAGNOSTIC_POSITIONS 0 #endif #ifndef JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON #define JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON 0 #endif #if JSON_DIAGNOSTICS #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS _diag #else #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS #endif #if JSON_DIAGNOSTIC_POSITIONS #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTIC_POSITIONS _dp #else #define NLOHMANN_JSON_ABI_TAG_DIAGNOSTIC_POSITIONS #endif #if JSON_USE_LEGACY_DISCARDED_VALUE_COMPARISON #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON _ldvcmp #else #define NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON #endif #ifndef NLOHMANN_JSON_NAMESPACE_NO_VERSION #define NLOHMANN_JSON_NAMESPACE_NO_VERSION 0 #endif // Construct the namespace ABI tags component #define NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b, c) json_abi ## a ## b ## c #define NLOHMANN_JSON_ABI_TAGS_CONCAT(a, b, c) \ NLOHMANN_JSON_ABI_TAGS_CONCAT_EX(a, b, c) #define NLOHMANN_JSON_ABI_TAGS \ NLOHMANN_JSON_ABI_TAGS_CONCAT( \ NLOHMANN_JSON_ABI_TAG_DIAGNOSTICS, \ NLOHMANN_JSON_ABI_TAG_LEGACY_DISCARDED_VALUE_COMPARISON, \ NLOHMANN_JSON_ABI_TAG_DIAGNOSTIC_POSITIONS) // Construct the namespace version component #define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch) \ _v ## major ## _ ## minor ## _ ## patch #define NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(major, minor, patch) \ NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT_EX(major, minor, patch) #if NLOHMANN_JSON_NAMESPACE_NO_VERSION #define NLOHMANN_JSON_NAMESPACE_VERSION #else #define NLOHMANN_JSON_NAMESPACE_VERSION \ NLOHMANN_JSON_NAMESPACE_VERSION_CONCAT(NLOHMANN_JSON_VERSION_MAJOR, \ NLOHMANN_JSON_VERSION_MINOR, \ NLOHMANN_JSON_VERSION_PATCH) #endif // Combine namespace components #define NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b) a ## b #define NLOHMANN_JSON_NAMESPACE_CONCAT(a, b) \ NLOHMANN_JSON_NAMESPACE_CONCAT_EX(a, b) #ifndef NLOHMANN_JSON_NAMESPACE #define NLOHMANN_JSON_NAMESPACE \ nlohmann::NLOHMANN_JSON_NAMESPACE_CONCAT( \ NLOHMANN_JSON_ABI_TAGS, \ NLOHMANN_JSON_NAMESPACE_VERSION) #endif #ifndef NLOHMANN_JSON_NAMESPACE_BEGIN #define NLOHMANN_JSON_NAMESPACE_BEGIN \ namespace nlohmann \ { \ inline namespace NLOHMANN_JSON_NAMESPACE_CONCAT( \ NLOHMANN_JSON_ABI_TAGS, \ NLOHMANN_JSON_NAMESPACE_VERSION) \ { #endif #ifndef NLOHMANN_JSON_NAMESPACE_END #define NLOHMANN_JSON_NAMESPACE_END \ } /* namespace (inline namespace) NOLINT(readability/namespace) */ \ } // namespace nlohmann #endif // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // transform #include // array #include // forward_list #include // inserter, front_inserter, end #include // map #ifdef JSON_HAS_CPP_17 #include // optional #endif #include // string #include // tuple, make_tuple #include // is_arithmetic, is_same, is_enum, underlying_type, is_convertible #include // unordered_map #include // pair, declval #include // valarray // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // nullptr_t #include // exception #if JSON_DIAGNOSTICS #include // accumulate #endif #include // runtime_error #include // to_string #include // vector // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // array #include // size_t #include // uint8_t #include // string // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // declval, pair // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT // #include NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { template struct make_void { using type = void; }; template using void_t = typename make_void::type; } // namespace detail NLOHMANN_JSON_NAMESPACE_END NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { // https://en.cppreference.com/w/cpp/experimental/is_detected struct nonesuch { nonesuch() = delete; ~nonesuch() = delete; nonesuch(nonesuch const&) = delete; nonesuch(nonesuch const&&) = delete; void operator=(nonesuch const&) = delete; void operator=(nonesuch&&) = delete; }; template class Op, class... Args> struct detector { using value_t = std::false_type; using type = Default; }; template class Op, class... Args> struct detector>, Op, Args...> { using value_t = std::true_type; using type = Op; }; template class Op, class... Args> using is_detected = typename detector::value_t; template class Op, class... Args> struct is_detected_lazy : is_detected { }; template class Op, class... Args> using detected_t = typename detector::type; template class Op, class... Args> using detected_or = detector; template class Op, class... Args> using detected_or_t = typename detected_or::type; template class Op, class... Args> using is_detected_exact = std::is_same>; template class Op, class... Args> using is_detected_convertible = std::is_convertible, To>; } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-FileCopyrightText: 2016 - 2021 Evan Nemerson // SPDX-License-Identifier: MIT /* Hedley - https://nemequ.github.io/hedley * Created by Evan Nemerson */ #if !defined(JSON_HEDLEY_VERSION) || (JSON_HEDLEY_VERSION < 15) #if defined(JSON_HEDLEY_VERSION) #undef JSON_HEDLEY_VERSION #endif #define JSON_HEDLEY_VERSION 15 #if defined(JSON_HEDLEY_STRINGIFY_EX) #undef JSON_HEDLEY_STRINGIFY_EX #endif #define JSON_HEDLEY_STRINGIFY_EX(x) #x #if defined(JSON_HEDLEY_STRINGIFY) #undef JSON_HEDLEY_STRINGIFY #endif #define JSON_HEDLEY_STRINGIFY(x) JSON_HEDLEY_STRINGIFY_EX(x) #if defined(JSON_HEDLEY_CONCAT_EX) #undef JSON_HEDLEY_CONCAT_EX #endif #define JSON_HEDLEY_CONCAT_EX(a,b) a##b #if defined(JSON_HEDLEY_CONCAT) #undef JSON_HEDLEY_CONCAT #endif #define JSON_HEDLEY_CONCAT(a,b) JSON_HEDLEY_CONCAT_EX(a,b) #if defined(JSON_HEDLEY_CONCAT3_EX) #undef JSON_HEDLEY_CONCAT3_EX #endif #define JSON_HEDLEY_CONCAT3_EX(a,b,c) a##b##c #if defined(JSON_HEDLEY_CONCAT3) #undef JSON_HEDLEY_CONCAT3 #endif #define JSON_HEDLEY_CONCAT3(a,b,c) JSON_HEDLEY_CONCAT3_EX(a,b,c) #if defined(JSON_HEDLEY_VERSION_ENCODE) #undef JSON_HEDLEY_VERSION_ENCODE #endif #define JSON_HEDLEY_VERSION_ENCODE(major,minor,revision) (((major) * 1000000) + ((minor) * 1000) + (revision)) #if defined(JSON_HEDLEY_VERSION_DECODE_MAJOR) #undef JSON_HEDLEY_VERSION_DECODE_MAJOR #endif #define JSON_HEDLEY_VERSION_DECODE_MAJOR(version) ((version) / 1000000) #if defined(JSON_HEDLEY_VERSION_DECODE_MINOR) #undef JSON_HEDLEY_VERSION_DECODE_MINOR #endif #define JSON_HEDLEY_VERSION_DECODE_MINOR(version) (((version) % 1000000) / 1000) #if defined(JSON_HEDLEY_VERSION_DECODE_REVISION) #undef JSON_HEDLEY_VERSION_DECODE_REVISION #endif #define JSON_HEDLEY_VERSION_DECODE_REVISION(version) ((version) % 1000) #if defined(JSON_HEDLEY_GNUC_VERSION) #undef JSON_HEDLEY_GNUC_VERSION #endif #if defined(__GNUC__) && defined(__GNUC_PATCHLEVEL__) #define JSON_HEDLEY_GNUC_VERSION JSON_HEDLEY_VERSION_ENCODE(__GNUC__, __GNUC_MINOR__, __GNUC_PATCHLEVEL__) #elif defined(__GNUC__) #define JSON_HEDLEY_GNUC_VERSION JSON_HEDLEY_VERSION_ENCODE(__GNUC__, __GNUC_MINOR__, 0) #endif #if defined(JSON_HEDLEY_GNUC_VERSION_CHECK) #undef JSON_HEDLEY_GNUC_VERSION_CHECK #endif #if defined(JSON_HEDLEY_GNUC_VERSION) #define JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_GNUC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_MSVC_VERSION) #undef JSON_HEDLEY_MSVC_VERSION #endif #if defined(_MSC_FULL_VER) && (_MSC_FULL_VER >= 140000000) && !defined(__ICL) #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_FULL_VER / 10000000, (_MSC_FULL_VER % 10000000) / 100000, (_MSC_FULL_VER % 100000) / 100) #elif defined(_MSC_FULL_VER) && !defined(__ICL) #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_FULL_VER / 1000000, (_MSC_FULL_VER % 1000000) / 10000, (_MSC_FULL_VER % 10000) / 10) #elif defined(_MSC_VER) && !defined(__ICL) #define JSON_HEDLEY_MSVC_VERSION JSON_HEDLEY_VERSION_ENCODE(_MSC_VER / 100, _MSC_VER % 100, 0) #endif #if defined(JSON_HEDLEY_MSVC_VERSION_CHECK) #undef JSON_HEDLEY_MSVC_VERSION_CHECK #endif #if !defined(JSON_HEDLEY_MSVC_VERSION) #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (0) #elif defined(_MSC_VER) && (_MSC_VER >= 1400) #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_FULL_VER >= ((major * 10000000) + (minor * 100000) + (patch))) #elif defined(_MSC_VER) && (_MSC_VER >= 1200) #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_FULL_VER >= ((major * 1000000) + (minor * 10000) + (patch))) #else #define JSON_HEDLEY_MSVC_VERSION_CHECK(major,minor,patch) (_MSC_VER >= ((major * 100) + (minor))) #endif #if defined(JSON_HEDLEY_INTEL_VERSION) #undef JSON_HEDLEY_INTEL_VERSION #endif #if defined(__INTEL_COMPILER) && defined(__INTEL_COMPILER_UPDATE) && !defined(__ICL) #define JSON_HEDLEY_INTEL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER / 100, __INTEL_COMPILER % 100, __INTEL_COMPILER_UPDATE) #elif defined(__INTEL_COMPILER) && !defined(__ICL) #define JSON_HEDLEY_INTEL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER / 100, __INTEL_COMPILER % 100, 0) #endif #if defined(JSON_HEDLEY_INTEL_VERSION_CHECK) #undef JSON_HEDLEY_INTEL_VERSION_CHECK #endif #if defined(JSON_HEDLEY_INTEL_VERSION) #define JSON_HEDLEY_INTEL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_INTEL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_INTEL_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_INTEL_CL_VERSION) #undef JSON_HEDLEY_INTEL_CL_VERSION #endif #if defined(__INTEL_COMPILER) && defined(__INTEL_COMPILER_UPDATE) && defined(__ICL) #define JSON_HEDLEY_INTEL_CL_VERSION JSON_HEDLEY_VERSION_ENCODE(__INTEL_COMPILER, __INTEL_COMPILER_UPDATE, 0) #endif #if defined(JSON_HEDLEY_INTEL_CL_VERSION_CHECK) #undef JSON_HEDLEY_INTEL_CL_VERSION_CHECK #endif #if defined(JSON_HEDLEY_INTEL_CL_VERSION) #define JSON_HEDLEY_INTEL_CL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_INTEL_CL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_INTEL_CL_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_PGI_VERSION) #undef JSON_HEDLEY_PGI_VERSION #endif #if defined(__PGI) && defined(__PGIC__) && defined(__PGIC_MINOR__) && defined(__PGIC_PATCHLEVEL__) #define JSON_HEDLEY_PGI_VERSION JSON_HEDLEY_VERSION_ENCODE(__PGIC__, __PGIC_MINOR__, __PGIC_PATCHLEVEL__) #endif #if defined(JSON_HEDLEY_PGI_VERSION_CHECK) #undef JSON_HEDLEY_PGI_VERSION_CHECK #endif #if defined(JSON_HEDLEY_PGI_VERSION) #define JSON_HEDLEY_PGI_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_PGI_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_PGI_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_SUNPRO_VERSION) #undef JSON_HEDLEY_SUNPRO_VERSION #endif #if defined(__SUNPRO_C) && (__SUNPRO_C > 0x1000) #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((((__SUNPRO_C >> 16) & 0xf) * 10) + ((__SUNPRO_C >> 12) & 0xf), (((__SUNPRO_C >> 8) & 0xf) * 10) + ((__SUNPRO_C >> 4) & 0xf), (__SUNPRO_C & 0xf) * 10) #elif defined(__SUNPRO_C) #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((__SUNPRO_C >> 8) & 0xf, (__SUNPRO_C >> 4) & 0xf, (__SUNPRO_C) & 0xf) #elif defined(__SUNPRO_CC) && (__SUNPRO_CC > 0x1000) #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((((__SUNPRO_CC >> 16) & 0xf) * 10) + ((__SUNPRO_CC >> 12) & 0xf), (((__SUNPRO_CC >> 8) & 0xf) * 10) + ((__SUNPRO_CC >> 4) & 0xf), (__SUNPRO_CC & 0xf) * 10) #elif defined(__SUNPRO_CC) #define JSON_HEDLEY_SUNPRO_VERSION JSON_HEDLEY_VERSION_ENCODE((__SUNPRO_CC >> 8) & 0xf, (__SUNPRO_CC >> 4) & 0xf, (__SUNPRO_CC) & 0xf) #endif #if defined(JSON_HEDLEY_SUNPRO_VERSION_CHECK) #undef JSON_HEDLEY_SUNPRO_VERSION_CHECK #endif #if defined(JSON_HEDLEY_SUNPRO_VERSION) #define JSON_HEDLEY_SUNPRO_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_SUNPRO_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_SUNPRO_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION) #undef JSON_HEDLEY_EMSCRIPTEN_VERSION #endif #if defined(__EMSCRIPTEN__) #define JSON_HEDLEY_EMSCRIPTEN_VERSION JSON_HEDLEY_VERSION_ENCODE(__EMSCRIPTEN_major__, __EMSCRIPTEN_minor__, __EMSCRIPTEN_tiny__) #endif #if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK) #undef JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK #endif #if defined(JSON_HEDLEY_EMSCRIPTEN_VERSION) #define JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_EMSCRIPTEN_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_EMSCRIPTEN_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_ARM_VERSION) #undef JSON_HEDLEY_ARM_VERSION #endif #if defined(__CC_ARM) && defined(__ARMCOMPILER_VERSION) #define JSON_HEDLEY_ARM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ARMCOMPILER_VERSION / 1000000, (__ARMCOMPILER_VERSION % 1000000) / 10000, (__ARMCOMPILER_VERSION % 10000) / 100) #elif defined(__CC_ARM) && defined(__ARMCC_VERSION) #define JSON_HEDLEY_ARM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ARMCC_VERSION / 1000000, (__ARMCC_VERSION % 1000000) / 10000, (__ARMCC_VERSION % 10000) / 100) #endif #if defined(JSON_HEDLEY_ARM_VERSION_CHECK) #undef JSON_HEDLEY_ARM_VERSION_CHECK #endif #if defined(JSON_HEDLEY_ARM_VERSION) #define JSON_HEDLEY_ARM_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_ARM_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_ARM_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_IBM_VERSION) #undef JSON_HEDLEY_IBM_VERSION #endif #if defined(__ibmxl__) #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__ibmxl_version__, __ibmxl_release__, __ibmxl_modification__) #elif defined(__xlC__) && defined(__xlC_ver__) #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__xlC__ >> 8, __xlC__ & 0xff, (__xlC_ver__ >> 8) & 0xff) #elif defined(__xlC__) #define JSON_HEDLEY_IBM_VERSION JSON_HEDLEY_VERSION_ENCODE(__xlC__ >> 8, __xlC__ & 0xff, 0) #endif #if defined(JSON_HEDLEY_IBM_VERSION_CHECK) #undef JSON_HEDLEY_IBM_VERSION_CHECK #endif #if defined(JSON_HEDLEY_IBM_VERSION) #define JSON_HEDLEY_IBM_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_IBM_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_IBM_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_VERSION) #undef JSON_HEDLEY_TI_VERSION #endif #if \ defined(__TI_COMPILER_VERSION__) && \ ( \ defined(__TMS470__) || defined(__TI_ARM__) || \ defined(__MSP430__) || \ defined(__TMS320C2000__) \ ) #if (__TI_COMPILER_VERSION__ >= 16000000) #define JSON_HEDLEY_TI_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #endif #if defined(JSON_HEDLEY_TI_VERSION_CHECK) #undef JSON_HEDLEY_TI_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_VERSION) #define JSON_HEDLEY_TI_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_CL2000_VERSION) #undef JSON_HEDLEY_TI_CL2000_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && defined(__TMS320C2000__) #define JSON_HEDLEY_TI_CL2000_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_CL2000_VERSION_CHECK) #undef JSON_HEDLEY_TI_CL2000_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_CL2000_VERSION) #define JSON_HEDLEY_TI_CL2000_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL2000_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_CL2000_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_CL430_VERSION) #undef JSON_HEDLEY_TI_CL430_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && defined(__MSP430__) #define JSON_HEDLEY_TI_CL430_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_CL430_VERSION_CHECK) #undef JSON_HEDLEY_TI_CL430_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_CL430_VERSION) #define JSON_HEDLEY_TI_CL430_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL430_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_CL430_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_ARMCL_VERSION) #undef JSON_HEDLEY_TI_ARMCL_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && (defined(__TMS470__) || defined(__TI_ARM__)) #define JSON_HEDLEY_TI_ARMCL_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_ARMCL_VERSION_CHECK) #undef JSON_HEDLEY_TI_ARMCL_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_ARMCL_VERSION) #define JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_ARMCL_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_CL6X_VERSION) #undef JSON_HEDLEY_TI_CL6X_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && defined(__TMS320C6X__) #define JSON_HEDLEY_TI_CL6X_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_CL6X_VERSION_CHECK) #undef JSON_HEDLEY_TI_CL6X_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_CL6X_VERSION) #define JSON_HEDLEY_TI_CL6X_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL6X_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_CL6X_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_CL7X_VERSION) #undef JSON_HEDLEY_TI_CL7X_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && defined(__C7000__) #define JSON_HEDLEY_TI_CL7X_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_CL7X_VERSION_CHECK) #undef JSON_HEDLEY_TI_CL7X_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_CL7X_VERSION) #define JSON_HEDLEY_TI_CL7X_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CL7X_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_CL7X_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TI_CLPRU_VERSION) #undef JSON_HEDLEY_TI_CLPRU_VERSION #endif #if defined(__TI_COMPILER_VERSION__) && defined(__PRU__) #define JSON_HEDLEY_TI_CLPRU_VERSION JSON_HEDLEY_VERSION_ENCODE(__TI_COMPILER_VERSION__ / 1000000, (__TI_COMPILER_VERSION__ % 1000000) / 1000, (__TI_COMPILER_VERSION__ % 1000)) #endif #if defined(JSON_HEDLEY_TI_CLPRU_VERSION_CHECK) #undef JSON_HEDLEY_TI_CLPRU_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TI_CLPRU_VERSION) #define JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TI_CLPRU_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_CRAY_VERSION) #undef JSON_HEDLEY_CRAY_VERSION #endif #if defined(_CRAYC) #if defined(_RELEASE_PATCHLEVEL) #define JSON_HEDLEY_CRAY_VERSION JSON_HEDLEY_VERSION_ENCODE(_RELEASE_MAJOR, _RELEASE_MINOR, _RELEASE_PATCHLEVEL) #else #define JSON_HEDLEY_CRAY_VERSION JSON_HEDLEY_VERSION_ENCODE(_RELEASE_MAJOR, _RELEASE_MINOR, 0) #endif #endif #if defined(JSON_HEDLEY_CRAY_VERSION_CHECK) #undef JSON_HEDLEY_CRAY_VERSION_CHECK #endif #if defined(JSON_HEDLEY_CRAY_VERSION) #define JSON_HEDLEY_CRAY_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_CRAY_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_CRAY_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_IAR_VERSION) #undef JSON_HEDLEY_IAR_VERSION #endif #if defined(__IAR_SYSTEMS_ICC__) #if __VER__ > 1000 #define JSON_HEDLEY_IAR_VERSION JSON_HEDLEY_VERSION_ENCODE((__VER__ / 1000000), ((__VER__ / 1000) % 1000), (__VER__ % 1000)) #else #define JSON_HEDLEY_IAR_VERSION JSON_HEDLEY_VERSION_ENCODE(__VER__ / 100, __VER__ % 100, 0) #endif #endif #if defined(JSON_HEDLEY_IAR_VERSION_CHECK) #undef JSON_HEDLEY_IAR_VERSION_CHECK #endif #if defined(JSON_HEDLEY_IAR_VERSION) #define JSON_HEDLEY_IAR_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_IAR_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_IAR_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_TINYC_VERSION) #undef JSON_HEDLEY_TINYC_VERSION #endif #if defined(__TINYC__) #define JSON_HEDLEY_TINYC_VERSION JSON_HEDLEY_VERSION_ENCODE(__TINYC__ / 1000, (__TINYC__ / 100) % 10, __TINYC__ % 100) #endif #if defined(JSON_HEDLEY_TINYC_VERSION_CHECK) #undef JSON_HEDLEY_TINYC_VERSION_CHECK #endif #if defined(JSON_HEDLEY_TINYC_VERSION) #define JSON_HEDLEY_TINYC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_TINYC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_TINYC_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_DMC_VERSION) #undef JSON_HEDLEY_DMC_VERSION #endif #if defined(__DMC__) #define JSON_HEDLEY_DMC_VERSION JSON_HEDLEY_VERSION_ENCODE(__DMC__ >> 8, (__DMC__ >> 4) & 0xf, __DMC__ & 0xf) #endif #if defined(JSON_HEDLEY_DMC_VERSION_CHECK) #undef JSON_HEDLEY_DMC_VERSION_CHECK #endif #if defined(JSON_HEDLEY_DMC_VERSION) #define JSON_HEDLEY_DMC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_DMC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_DMC_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_COMPCERT_VERSION) #undef JSON_HEDLEY_COMPCERT_VERSION #endif #if defined(__COMPCERT_VERSION__) #define JSON_HEDLEY_COMPCERT_VERSION JSON_HEDLEY_VERSION_ENCODE(__COMPCERT_VERSION__ / 10000, (__COMPCERT_VERSION__ / 100) % 100, __COMPCERT_VERSION__ % 100) #endif #if defined(JSON_HEDLEY_COMPCERT_VERSION_CHECK) #undef JSON_HEDLEY_COMPCERT_VERSION_CHECK #endif #if defined(JSON_HEDLEY_COMPCERT_VERSION) #define JSON_HEDLEY_COMPCERT_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_COMPCERT_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_COMPCERT_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_PELLES_VERSION) #undef JSON_HEDLEY_PELLES_VERSION #endif #if defined(__POCC__) #define JSON_HEDLEY_PELLES_VERSION JSON_HEDLEY_VERSION_ENCODE(__POCC__ / 100, __POCC__ % 100, 0) #endif #if defined(JSON_HEDLEY_PELLES_VERSION_CHECK) #undef JSON_HEDLEY_PELLES_VERSION_CHECK #endif #if defined(JSON_HEDLEY_PELLES_VERSION) #define JSON_HEDLEY_PELLES_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_PELLES_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_PELLES_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_MCST_LCC_VERSION) #undef JSON_HEDLEY_MCST_LCC_VERSION #endif #if defined(__LCC__) && defined(__LCC_MINOR__) #define JSON_HEDLEY_MCST_LCC_VERSION JSON_HEDLEY_VERSION_ENCODE(__LCC__ / 100, __LCC__ % 100, __LCC_MINOR__) #endif #if defined(JSON_HEDLEY_MCST_LCC_VERSION_CHECK) #undef JSON_HEDLEY_MCST_LCC_VERSION_CHECK #endif #if defined(JSON_HEDLEY_MCST_LCC_VERSION) #define JSON_HEDLEY_MCST_LCC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_MCST_LCC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_MCST_LCC_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_GCC_VERSION) #undef JSON_HEDLEY_GCC_VERSION #endif #if \ defined(JSON_HEDLEY_GNUC_VERSION) && \ !defined(__clang__) && \ !defined(JSON_HEDLEY_INTEL_VERSION) && \ !defined(JSON_HEDLEY_PGI_VERSION) && \ !defined(JSON_HEDLEY_ARM_VERSION) && \ !defined(JSON_HEDLEY_CRAY_VERSION) && \ !defined(JSON_HEDLEY_TI_VERSION) && \ !defined(JSON_HEDLEY_TI_ARMCL_VERSION) && \ !defined(JSON_HEDLEY_TI_CL430_VERSION) && \ !defined(JSON_HEDLEY_TI_CL2000_VERSION) && \ !defined(JSON_HEDLEY_TI_CL6X_VERSION) && \ !defined(JSON_HEDLEY_TI_CL7X_VERSION) && \ !defined(JSON_HEDLEY_TI_CLPRU_VERSION) && \ !defined(__COMPCERT__) && \ !defined(JSON_HEDLEY_MCST_LCC_VERSION) #define JSON_HEDLEY_GCC_VERSION JSON_HEDLEY_GNUC_VERSION #endif #if defined(JSON_HEDLEY_GCC_VERSION_CHECK) #undef JSON_HEDLEY_GCC_VERSION_CHECK #endif #if defined(JSON_HEDLEY_GCC_VERSION) #define JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) (JSON_HEDLEY_GCC_VERSION >= JSON_HEDLEY_VERSION_ENCODE(major, minor, patch)) #else #define JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) (0) #endif #if defined(JSON_HEDLEY_HAS_ATTRIBUTE) #undef JSON_HEDLEY_HAS_ATTRIBUTE #endif #if \ defined(__has_attribute) && \ ( \ (!defined(JSON_HEDLEY_IAR_VERSION) || JSON_HEDLEY_IAR_VERSION_CHECK(8,5,9)) \ ) # define JSON_HEDLEY_HAS_ATTRIBUTE(attribute) __has_attribute(attribute) #else # define JSON_HEDLEY_HAS_ATTRIBUTE(attribute) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_ATTRIBUTE) #undef JSON_HEDLEY_GNUC_HAS_ATTRIBUTE #endif #if defined(__has_attribute) #define JSON_HEDLEY_GNUC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) #else #define JSON_HEDLEY_GNUC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_ATTRIBUTE) #undef JSON_HEDLEY_GCC_HAS_ATTRIBUTE #endif #if defined(__has_attribute) #define JSON_HEDLEY_GCC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) #else #define JSON_HEDLEY_GCC_HAS_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_CPP_ATTRIBUTE) #undef JSON_HEDLEY_HAS_CPP_ATTRIBUTE #endif #if \ defined(__has_cpp_attribute) && \ defined(__cplusplus) && \ (!defined(JSON_HEDLEY_SUNPRO_VERSION) || JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0)) #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) __has_cpp_attribute(attribute) #else #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) (0) #endif #if defined(JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS) #undef JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS #endif #if !defined(__cplusplus) || !defined(__has_cpp_attribute) #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) (0) #elif \ !defined(JSON_HEDLEY_PGI_VERSION) && \ !defined(JSON_HEDLEY_IAR_VERSION) && \ (!defined(JSON_HEDLEY_SUNPRO_VERSION) || JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0)) && \ (!defined(JSON_HEDLEY_MSVC_VERSION) || JSON_HEDLEY_MSVC_VERSION_CHECK(19,20,0)) #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) JSON_HEDLEY_HAS_CPP_ATTRIBUTE(ns::attribute) #else #define JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(ns,attribute) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE) #undef JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE #endif #if defined(__has_cpp_attribute) && defined(__cplusplus) #define JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) __has_cpp_attribute(attribute) #else #define JSON_HEDLEY_GNUC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE) #undef JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE #endif #if defined(__has_cpp_attribute) && defined(__cplusplus) #define JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) __has_cpp_attribute(attribute) #else #define JSON_HEDLEY_GCC_HAS_CPP_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_BUILTIN) #undef JSON_HEDLEY_HAS_BUILTIN #endif #if defined(__has_builtin) #define JSON_HEDLEY_HAS_BUILTIN(builtin) __has_builtin(builtin) #else #define JSON_HEDLEY_HAS_BUILTIN(builtin) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_BUILTIN) #undef JSON_HEDLEY_GNUC_HAS_BUILTIN #endif #if defined(__has_builtin) #define JSON_HEDLEY_GNUC_HAS_BUILTIN(builtin,major,minor,patch) __has_builtin(builtin) #else #define JSON_HEDLEY_GNUC_HAS_BUILTIN(builtin,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_BUILTIN) #undef JSON_HEDLEY_GCC_HAS_BUILTIN #endif #if defined(__has_builtin) #define JSON_HEDLEY_GCC_HAS_BUILTIN(builtin,major,minor,patch) __has_builtin(builtin) #else #define JSON_HEDLEY_GCC_HAS_BUILTIN(builtin,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_FEATURE) #undef JSON_HEDLEY_HAS_FEATURE #endif #if defined(__has_feature) #define JSON_HEDLEY_HAS_FEATURE(feature) __has_feature(feature) #else #define JSON_HEDLEY_HAS_FEATURE(feature) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_FEATURE) #undef JSON_HEDLEY_GNUC_HAS_FEATURE #endif #if defined(__has_feature) #define JSON_HEDLEY_GNUC_HAS_FEATURE(feature,major,minor,patch) __has_feature(feature) #else #define JSON_HEDLEY_GNUC_HAS_FEATURE(feature,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_FEATURE) #undef JSON_HEDLEY_GCC_HAS_FEATURE #endif #if defined(__has_feature) #define JSON_HEDLEY_GCC_HAS_FEATURE(feature,major,minor,patch) __has_feature(feature) #else #define JSON_HEDLEY_GCC_HAS_FEATURE(feature,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_EXTENSION) #undef JSON_HEDLEY_HAS_EXTENSION #endif #if defined(__has_extension) #define JSON_HEDLEY_HAS_EXTENSION(extension) __has_extension(extension) #else #define JSON_HEDLEY_HAS_EXTENSION(extension) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_EXTENSION) #undef JSON_HEDLEY_GNUC_HAS_EXTENSION #endif #if defined(__has_extension) #define JSON_HEDLEY_GNUC_HAS_EXTENSION(extension,major,minor,patch) __has_extension(extension) #else #define JSON_HEDLEY_GNUC_HAS_EXTENSION(extension,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_EXTENSION) #undef JSON_HEDLEY_GCC_HAS_EXTENSION #endif #if defined(__has_extension) #define JSON_HEDLEY_GCC_HAS_EXTENSION(extension,major,minor,patch) __has_extension(extension) #else #define JSON_HEDLEY_GCC_HAS_EXTENSION(extension,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE) #undef JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE #endif #if defined(__has_declspec_attribute) #define JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) __has_declspec_attribute(attribute) #else #define JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE) #undef JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE #endif #if defined(__has_declspec_attribute) #define JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) __has_declspec_attribute(attribute) #else #define JSON_HEDLEY_GNUC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE) #undef JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE #endif #if defined(__has_declspec_attribute) #define JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) __has_declspec_attribute(attribute) #else #define JSON_HEDLEY_GCC_HAS_DECLSPEC_ATTRIBUTE(attribute,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_HAS_WARNING) #undef JSON_HEDLEY_HAS_WARNING #endif #if defined(__has_warning) #define JSON_HEDLEY_HAS_WARNING(warning) __has_warning(warning) #else #define JSON_HEDLEY_HAS_WARNING(warning) (0) #endif #if defined(JSON_HEDLEY_GNUC_HAS_WARNING) #undef JSON_HEDLEY_GNUC_HAS_WARNING #endif #if defined(__has_warning) #define JSON_HEDLEY_GNUC_HAS_WARNING(warning,major,minor,patch) __has_warning(warning) #else #define JSON_HEDLEY_GNUC_HAS_WARNING(warning,major,minor,patch) JSON_HEDLEY_GNUC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_GCC_HAS_WARNING) #undef JSON_HEDLEY_GCC_HAS_WARNING #endif #if defined(__has_warning) #define JSON_HEDLEY_GCC_HAS_WARNING(warning,major,minor,patch) __has_warning(warning) #else #define JSON_HEDLEY_GCC_HAS_WARNING(warning,major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if \ (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L)) || \ defined(__clang__) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(18,4,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,7,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(2,0,1) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,1,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,0,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_CRAY_VERSION_CHECK(5,0,0) || \ JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,17) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(8,0,0) || \ (JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) && defined(__C99_PRAGMA_OPERATOR)) #define JSON_HEDLEY_PRAGMA(value) _Pragma(#value) #elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) #define JSON_HEDLEY_PRAGMA(value) __pragma(value) #else #define JSON_HEDLEY_PRAGMA(value) #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_PUSH) #undef JSON_HEDLEY_DIAGNOSTIC_PUSH #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_POP) #undef JSON_HEDLEY_DIAGNOSTIC_POP #endif #if defined(__clang__) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("clang diagnostic push") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("clang diagnostic pop") #elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("warning(push)") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("warning(pop)") #elif JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("GCC diagnostic push") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("GCC diagnostic pop") #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH __pragma(warning(push)) #define JSON_HEDLEY_DIAGNOSTIC_POP __pragma(warning(pop)) #elif JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("push") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("pop") #elif \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,4,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,1,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("diag_push") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("diag_pop") #elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,90,0) #define JSON_HEDLEY_DIAGNOSTIC_PUSH _Pragma("warning(push)") #define JSON_HEDLEY_DIAGNOSTIC_POP _Pragma("warning(pop)") #else #define JSON_HEDLEY_DIAGNOSTIC_PUSH #define JSON_HEDLEY_DIAGNOSTIC_POP #endif /* JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_ is for HEDLEY INTERNAL USE ONLY. API subject to change without notice. */ #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_ #endif #if defined(__cplusplus) # if JSON_HEDLEY_HAS_WARNING("-Wc++98-compat") # if JSON_HEDLEY_HAS_WARNING("-Wc++17-extensions") # if JSON_HEDLEY_HAS_WARNING("-Wc++1z-extensions") # define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ _Pragma("clang diagnostic ignored \"-Wc++17-extensions\"") \ _Pragma("clang diagnostic ignored \"-Wc++1z-extensions\"") \ xpr \ JSON_HEDLEY_DIAGNOSTIC_POP # else # define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ _Pragma("clang diagnostic ignored \"-Wc++17-extensions\"") \ xpr \ JSON_HEDLEY_DIAGNOSTIC_POP # endif # else # define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(xpr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wc++98-compat\"") \ xpr \ JSON_HEDLEY_DIAGNOSTIC_POP # endif # endif #endif #if !defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(x) x #endif #if defined(JSON_HEDLEY_CONST_CAST) #undef JSON_HEDLEY_CONST_CAST #endif #if defined(__cplusplus) # define JSON_HEDLEY_CONST_CAST(T, expr) (const_cast(expr)) #elif \ JSON_HEDLEY_HAS_WARNING("-Wcast-qual") || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) # define JSON_HEDLEY_CONST_CAST(T, expr) (__extension__ ({ \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL \ ((T) (expr)); \ JSON_HEDLEY_DIAGNOSTIC_POP \ })) #else # define JSON_HEDLEY_CONST_CAST(T, expr) ((T) (expr)) #endif #if defined(JSON_HEDLEY_REINTERPRET_CAST) #undef JSON_HEDLEY_REINTERPRET_CAST #endif #if defined(__cplusplus) #define JSON_HEDLEY_REINTERPRET_CAST(T, expr) (reinterpret_cast(expr)) #else #define JSON_HEDLEY_REINTERPRET_CAST(T, expr) ((T) (expr)) #endif #if defined(JSON_HEDLEY_STATIC_CAST) #undef JSON_HEDLEY_STATIC_CAST #endif #if defined(__cplusplus) #define JSON_HEDLEY_STATIC_CAST(T, expr) (static_cast(expr)) #else #define JSON_HEDLEY_STATIC_CAST(T, expr) ((T) (expr)) #endif #if defined(JSON_HEDLEY_CPP_CAST) #undef JSON_HEDLEY_CPP_CAST #endif #if defined(__cplusplus) # if JSON_HEDLEY_HAS_WARNING("-Wold-style-cast") # define JSON_HEDLEY_CPP_CAST(T, expr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wold-style-cast\"") \ ((T) (expr)) \ JSON_HEDLEY_DIAGNOSTIC_POP # elif JSON_HEDLEY_IAR_VERSION_CHECK(8,3,0) # define JSON_HEDLEY_CPP_CAST(T, expr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("diag_suppress=Pe137") \ JSON_HEDLEY_DIAGNOSTIC_POP # else # define JSON_HEDLEY_CPP_CAST(T, expr) ((T) (expr)) # endif #else # define JSON_HEDLEY_CPP_CAST(T, expr) (expr) #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED #endif #if JSON_HEDLEY_HAS_WARNING("-Wdeprecated-declarations") #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("clang diagnostic ignored \"-Wdeprecated-declarations\"") #elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("warning(disable:1478 1786)") #elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED __pragma(warning(disable:1478 1786)) #elif JSON_HEDLEY_PGI_VERSION_CHECK(20,7,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1216,1444,1445") #elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1444") #elif JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("GCC diagnostic ignored \"-Wdeprecated-declarations\"") #elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED __pragma(warning(disable:4996)) #elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1215,1444") #elif \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress 1291,1718") #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) && !defined(__cplusplus) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("error_messages(off,E_DEPRECATED_ATT,E_DEPRECATED_ATT_MESS)") #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) && defined(__cplusplus) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("error_messages(off,symdeprecated,symdeprecated2)") #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("diag_suppress=Pe1444,Pe1215") #elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,90,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED _Pragma("warn(disable:2241)") #else #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_DEPRECATED #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS #endif #if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("clang diagnostic ignored \"-Wunknown-pragmas\"") #elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("warning(disable:161)") #elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS __pragma(warning(disable:161)) #elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 1675") #elif JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("GCC diagnostic ignored \"-Wunknown-pragmas\"") #elif JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS __pragma(warning(disable:4068)) #elif \ JSON_HEDLEY_TI_VERSION_CHECK(16,9,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,3,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 163") #elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 163") #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress=Pe161") #elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS _Pragma("diag_suppress 161") #else #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES #endif #if JSON_HEDLEY_HAS_WARNING("-Wunknown-attributes") #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("clang diagnostic ignored \"-Wunknown-attributes\"") #elif JSON_HEDLEY_GCC_VERSION_CHECK(4,6,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("GCC diagnostic ignored \"-Wdeprecated-declarations\"") #elif JSON_HEDLEY_INTEL_VERSION_CHECK(17,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("warning(disable:1292)") #elif JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES __pragma(warning(disable:1292)) #elif JSON_HEDLEY_MSVC_VERSION_CHECK(19,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES __pragma(warning(disable:5030)) #elif JSON_HEDLEY_PGI_VERSION_CHECK(20,7,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097,1098") #elif JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097") #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,14,0) && defined(__cplusplus) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("error_messages(off,attrskipunsup)") #elif \ JSON_HEDLEY_TI_VERSION_CHECK(18,1,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,3,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1173") #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress=Pe1097") #elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES _Pragma("diag_suppress 1097") #else #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_CPP_ATTRIBUTES #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL #endif #if JSON_HEDLEY_HAS_WARNING("-Wcast-qual") #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("clang diagnostic ignored \"-Wcast-qual\"") #elif JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("warning(disable:2203 2331)") #elif JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL _Pragma("GCC diagnostic ignored \"-Wcast-qual\"") #else #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_CAST_QUAL #endif #if defined(JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION) #undef JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION #endif #if JSON_HEDLEY_HAS_WARNING("-Wunused-function") #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("clang diagnostic ignored \"-Wunused-function\"") #elif JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("GCC diagnostic ignored \"-Wunused-function\"") #elif JSON_HEDLEY_MSVC_VERSION_CHECK(1,0,0) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION __pragma(warning(disable:4505)) #elif JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION _Pragma("diag_suppress 3142") #else #define JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNUSED_FUNCTION #endif #if defined(JSON_HEDLEY_DEPRECATED) #undef JSON_HEDLEY_DEPRECATED #endif #if defined(JSON_HEDLEY_DEPRECATED_FOR) #undef JSON_HEDLEY_DEPRECATED_FOR #endif #if \ JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DEPRECATED(since) __declspec(deprecated("Since " # since)) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __declspec(deprecated("Since " #since "; use " #replacement)) #elif \ (JSON_HEDLEY_HAS_EXTENSION(attribute_deprecated_with_message) && !defined(JSON_HEDLEY_IAR_VERSION)) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,5,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,13,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(18,1,0) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(18,1,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,3,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,3,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_DEPRECATED(since) __attribute__((__deprecated__("Since " #since))) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __attribute__((__deprecated__("Since " #since "; use " #replacement))) #elif defined(__cplusplus) && (__cplusplus >= 201402L) #define JSON_HEDLEY_DEPRECATED(since) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[deprecated("Since " #since)]]) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[deprecated("Since " #since "; use " #replacement)]]) #elif \ JSON_HEDLEY_HAS_ATTRIBUTE(deprecated) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) #define JSON_HEDLEY_DEPRECATED(since) __attribute__((__deprecated__)) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __attribute__((__deprecated__)) #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ JSON_HEDLEY_PELLES_VERSION_CHECK(6,50,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_DEPRECATED(since) __declspec(deprecated) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) __declspec(deprecated) #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_DEPRECATED(since) _Pragma("deprecated") #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) _Pragma("deprecated") #else #define JSON_HEDLEY_DEPRECATED(since) #define JSON_HEDLEY_DEPRECATED_FOR(since, replacement) #endif #if defined(JSON_HEDLEY_UNAVAILABLE) #undef JSON_HEDLEY_UNAVAILABLE #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(warning) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,3,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_UNAVAILABLE(available_since) __attribute__((__warning__("Not available until " #available_since))) #else #define JSON_HEDLEY_UNAVAILABLE(available_since) #endif #if defined(JSON_HEDLEY_WARN_UNUSED_RESULT) #undef JSON_HEDLEY_WARN_UNUSED_RESULT #endif #if defined(JSON_HEDLEY_WARN_UNUSED_RESULT_MSG) #undef JSON_HEDLEY_WARN_UNUSED_RESULT_MSG #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(warn_unused_result) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0) && defined(__cplusplus)) || \ JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_WARN_UNUSED_RESULT __attribute__((__warn_unused_result__)) #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) __attribute__((__warn_unused_result__)) #elif (JSON_HEDLEY_HAS_CPP_ATTRIBUTE(nodiscard) >= 201907L) #define JSON_HEDLEY_WARN_UNUSED_RESULT JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard(msg)]]) #elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE(nodiscard) #define JSON_HEDLEY_WARN_UNUSED_RESULT JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[nodiscard]]) #elif defined(_Check_return_) /* SAL */ #define JSON_HEDLEY_WARN_UNUSED_RESULT _Check_return_ #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) _Check_return_ #else #define JSON_HEDLEY_WARN_UNUSED_RESULT #define JSON_HEDLEY_WARN_UNUSED_RESULT_MSG(msg) #endif #if defined(JSON_HEDLEY_SENTINEL) #undef JSON_HEDLEY_SENTINEL #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(sentinel) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(5,4,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_SENTINEL(position) __attribute__((__sentinel__(position))) #else #define JSON_HEDLEY_SENTINEL(position) #endif #if defined(JSON_HEDLEY_NO_RETURN) #undef JSON_HEDLEY_NO_RETURN #endif #if JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_NO_RETURN __noreturn #elif \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_NO_RETURN __attribute__((__noreturn__)) #elif defined(__STDC_VERSION__) && __STDC_VERSION__ >= 201112L #define JSON_HEDLEY_NO_RETURN _Noreturn #elif defined(__cplusplus) && (__cplusplus >= 201103L) #define JSON_HEDLEY_NO_RETURN JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[noreturn]]) #elif \ JSON_HEDLEY_HAS_ATTRIBUTE(noreturn) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,2,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) #define JSON_HEDLEY_NO_RETURN __attribute__((__noreturn__)) #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) #define JSON_HEDLEY_NO_RETURN _Pragma("does_not_return") #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_NO_RETURN __declspec(noreturn) #elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,0,0) && defined(__cplusplus) #define JSON_HEDLEY_NO_RETURN _Pragma("FUNC_NEVER_RETURNS;") #elif JSON_HEDLEY_COMPCERT_VERSION_CHECK(3,2,0) #define JSON_HEDLEY_NO_RETURN __attribute((noreturn)) #elif JSON_HEDLEY_PELLES_VERSION_CHECK(9,0,0) #define JSON_HEDLEY_NO_RETURN __declspec(noreturn) #else #define JSON_HEDLEY_NO_RETURN #endif #if defined(JSON_HEDLEY_NO_ESCAPE) #undef JSON_HEDLEY_NO_ESCAPE #endif #if JSON_HEDLEY_HAS_ATTRIBUTE(noescape) #define JSON_HEDLEY_NO_ESCAPE __attribute__((__noescape__)) #else #define JSON_HEDLEY_NO_ESCAPE #endif #if defined(JSON_HEDLEY_UNREACHABLE) #undef JSON_HEDLEY_UNREACHABLE #endif #if defined(JSON_HEDLEY_UNREACHABLE_RETURN) #undef JSON_HEDLEY_UNREACHABLE_RETURN #endif #if defined(JSON_HEDLEY_ASSUME) #undef JSON_HEDLEY_ASSUME #endif #if \ JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_ASSUME(expr) __assume(expr) #elif JSON_HEDLEY_HAS_BUILTIN(__builtin_assume) #define JSON_HEDLEY_ASSUME(expr) __builtin_assume(expr) #elif \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) #if defined(__cplusplus) #define JSON_HEDLEY_ASSUME(expr) std::_nassert(expr) #else #define JSON_HEDLEY_ASSUME(expr) _nassert(expr) #endif #endif #if \ (JSON_HEDLEY_HAS_BUILTIN(__builtin_unreachable) && (!defined(JSON_HEDLEY_ARM_VERSION))) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,5,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(18,10,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(13,1,5) || \ JSON_HEDLEY_CRAY_VERSION_CHECK(10,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_UNREACHABLE() __builtin_unreachable() #elif defined(JSON_HEDLEY_ASSUME) #define JSON_HEDLEY_UNREACHABLE() JSON_HEDLEY_ASSUME(0) #endif #if !defined(JSON_HEDLEY_ASSUME) #if defined(JSON_HEDLEY_UNREACHABLE) #define JSON_HEDLEY_ASSUME(expr) JSON_HEDLEY_STATIC_CAST(void, ((expr) ? 1 : (JSON_HEDLEY_UNREACHABLE(), 1))) #else #define JSON_HEDLEY_ASSUME(expr) JSON_HEDLEY_STATIC_CAST(void, expr) #endif #endif #if defined(JSON_HEDLEY_UNREACHABLE) #if \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) #define JSON_HEDLEY_UNREACHABLE_RETURN(value) return (JSON_HEDLEY_STATIC_CAST(void, JSON_HEDLEY_ASSUME(0)), (value)) #else #define JSON_HEDLEY_UNREACHABLE_RETURN(value) JSON_HEDLEY_UNREACHABLE() #endif #else #define JSON_HEDLEY_UNREACHABLE_RETURN(value) return (value) #endif #if !defined(JSON_HEDLEY_UNREACHABLE) #define JSON_HEDLEY_UNREACHABLE() JSON_HEDLEY_ASSUME(0) #endif JSON_HEDLEY_DIAGNOSTIC_PUSH #if JSON_HEDLEY_HAS_WARNING("-Wpedantic") #pragma clang diagnostic ignored "-Wpedantic" #endif #if JSON_HEDLEY_HAS_WARNING("-Wc++98-compat-pedantic") && defined(__cplusplus) #pragma clang diagnostic ignored "-Wc++98-compat-pedantic" #endif #if JSON_HEDLEY_GCC_HAS_WARNING("-Wvariadic-macros",4,0,0) #if defined(__clang__) #pragma clang diagnostic ignored "-Wvariadic-macros" #elif defined(JSON_HEDLEY_GCC_VERSION) #pragma GCC diagnostic ignored "-Wvariadic-macros" #endif #endif #if defined(JSON_HEDLEY_NON_NULL) #undef JSON_HEDLEY_NON_NULL #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(nonnull) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) #define JSON_HEDLEY_NON_NULL(...) __attribute__((__nonnull__(__VA_ARGS__))) #else #define JSON_HEDLEY_NON_NULL(...) #endif JSON_HEDLEY_DIAGNOSTIC_POP #if defined(JSON_HEDLEY_PRINTF_FORMAT) #undef JSON_HEDLEY_PRINTF_FORMAT #endif #if defined(__MINGW32__) && JSON_HEDLEY_GCC_HAS_ATTRIBUTE(format,4,4,0) && !defined(__USE_MINGW_ANSI_STDIO) #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(ms_printf, string_idx, first_to_check))) #elif defined(__MINGW32__) && JSON_HEDLEY_GCC_HAS_ATTRIBUTE(format,4,4,0) && defined(__USE_MINGW_ANSI_STDIO) #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(gnu_printf, string_idx, first_to_check))) #elif \ JSON_HEDLEY_HAS_ATTRIBUTE(format) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(5,6,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __attribute__((__format__(__printf__, string_idx, first_to_check))) #elif JSON_HEDLEY_PELLES_VERSION_CHECK(6,0,0) #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) __declspec(vaformat(printf,string_idx,first_to_check)) #else #define JSON_HEDLEY_PRINTF_FORMAT(string_idx,first_to_check) #endif #if defined(JSON_HEDLEY_CONSTEXPR) #undef JSON_HEDLEY_CONSTEXPR #endif #if defined(__cplusplus) #if __cplusplus >= 201103L #define JSON_HEDLEY_CONSTEXPR JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(constexpr) #endif #endif #if !defined(JSON_HEDLEY_CONSTEXPR) #define JSON_HEDLEY_CONSTEXPR #endif #if defined(JSON_HEDLEY_PREDICT) #undef JSON_HEDLEY_PREDICT #endif #if defined(JSON_HEDLEY_LIKELY) #undef JSON_HEDLEY_LIKELY #endif #if defined(JSON_HEDLEY_UNLIKELY) #undef JSON_HEDLEY_UNLIKELY #endif #if defined(JSON_HEDLEY_UNPREDICTABLE) #undef JSON_HEDLEY_UNPREDICTABLE #endif #if JSON_HEDLEY_HAS_BUILTIN(__builtin_unpredictable) #define JSON_HEDLEY_UNPREDICTABLE(expr) __builtin_unpredictable((expr)) #endif #if \ (JSON_HEDLEY_HAS_BUILTIN(__builtin_expect_with_probability) && !defined(JSON_HEDLEY_PGI_VERSION)) || \ JSON_HEDLEY_GCC_VERSION_CHECK(9,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) # define JSON_HEDLEY_PREDICT(expr, value, probability) __builtin_expect_with_probability( (expr), (value), (probability)) # define JSON_HEDLEY_PREDICT_TRUE(expr, probability) __builtin_expect_with_probability(!!(expr), 1 , (probability)) # define JSON_HEDLEY_PREDICT_FALSE(expr, probability) __builtin_expect_with_probability(!!(expr), 0 , (probability)) # define JSON_HEDLEY_LIKELY(expr) __builtin_expect (!!(expr), 1 ) # define JSON_HEDLEY_UNLIKELY(expr) __builtin_expect (!!(expr), 0 ) #elif \ (JSON_HEDLEY_HAS_BUILTIN(__builtin_expect) && !defined(JSON_HEDLEY_INTEL_CL_VERSION)) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,15,0) && defined(__cplusplus)) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,7,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,1,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,27) || \ JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) # define JSON_HEDLEY_PREDICT(expr, expected, probability) \ (((probability) >= 0.9) ? __builtin_expect((expr), (expected)) : (JSON_HEDLEY_STATIC_CAST(void, expected), (expr))) # define JSON_HEDLEY_PREDICT_TRUE(expr, probability) \ (__extension__ ({ \ double hedley_probability_ = (probability); \ ((hedley_probability_ >= 0.9) ? __builtin_expect(!!(expr), 1) : ((hedley_probability_ <= 0.1) ? __builtin_expect(!!(expr), 0) : !!(expr))); \ })) # define JSON_HEDLEY_PREDICT_FALSE(expr, probability) \ (__extension__ ({ \ double hedley_probability_ = (probability); \ ((hedley_probability_ >= 0.9) ? __builtin_expect(!!(expr), 0) : ((hedley_probability_ <= 0.1) ? __builtin_expect(!!(expr), 1) : !!(expr))); \ })) # define JSON_HEDLEY_LIKELY(expr) __builtin_expect(!!(expr), 1) # define JSON_HEDLEY_UNLIKELY(expr) __builtin_expect(!!(expr), 0) #else # define JSON_HEDLEY_PREDICT(expr, expected, probability) (JSON_HEDLEY_STATIC_CAST(void, expected), (expr)) # define JSON_HEDLEY_PREDICT_TRUE(expr, probability) (!!(expr)) # define JSON_HEDLEY_PREDICT_FALSE(expr, probability) (!!(expr)) # define JSON_HEDLEY_LIKELY(expr) (!!(expr)) # define JSON_HEDLEY_UNLIKELY(expr) (!!(expr)) #endif #if !defined(JSON_HEDLEY_UNPREDICTABLE) #define JSON_HEDLEY_UNPREDICTABLE(expr) JSON_HEDLEY_PREDICT(expr, 1, 0.5) #endif #if defined(JSON_HEDLEY_MALLOC) #undef JSON_HEDLEY_MALLOC #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(malloc) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(12,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_MALLOC __attribute__((__malloc__)) #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) #define JSON_HEDLEY_MALLOC _Pragma("returns_new_memory") #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_MALLOC __declspec(restrict) #else #define JSON_HEDLEY_MALLOC #endif #if defined(JSON_HEDLEY_PURE) #undef JSON_HEDLEY_PURE #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(pure) || \ JSON_HEDLEY_GCC_VERSION_CHECK(2,96,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) # define JSON_HEDLEY_PURE __attribute__((__pure__)) #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) # define JSON_HEDLEY_PURE _Pragma("does_not_write_global_data") #elif defined(__cplusplus) && \ ( \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(2,0,1) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(4,0,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) \ ) # define JSON_HEDLEY_PURE _Pragma("FUNC_IS_PURE;") #else # define JSON_HEDLEY_PURE #endif #if defined(JSON_HEDLEY_CONST) #undef JSON_HEDLEY_CONST #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(const) || \ JSON_HEDLEY_GCC_VERSION_CHECK(2,5,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_CONST __attribute__((__const__)) #elif \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) #define JSON_HEDLEY_CONST _Pragma("no_side_effect") #else #define JSON_HEDLEY_CONST JSON_HEDLEY_PURE #endif #if defined(JSON_HEDLEY_RESTRICT) #undef JSON_HEDLEY_RESTRICT #endif #if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) && !defined(__cplusplus) #define JSON_HEDLEY_RESTRICT restrict #elif \ JSON_HEDLEY_GCC_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_MSVC_VERSION_CHECK(14,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(17,10,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,4) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,1,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,14,0) && defined(__cplusplus)) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) || \ defined(__clang__) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_RESTRICT __restrict #elif JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,3,0) && !defined(__cplusplus) #define JSON_HEDLEY_RESTRICT _Restrict #else #define JSON_HEDLEY_RESTRICT #endif #if defined(JSON_HEDLEY_INLINE) #undef JSON_HEDLEY_INLINE #endif #if \ (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L)) || \ (defined(__cplusplus) && (__cplusplus >= 199711L)) #define JSON_HEDLEY_INLINE inline #elif \ defined(JSON_HEDLEY_GCC_VERSION) || \ JSON_HEDLEY_ARM_VERSION_CHECK(6,2,0) #define JSON_HEDLEY_INLINE __inline__ #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(12,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,1,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(3,1,0) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,2,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(8,0,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_INLINE __inline #else #define JSON_HEDLEY_INLINE #endif #if defined(JSON_HEDLEY_ALWAYS_INLINE) #undef JSON_HEDLEY_ALWAYS_INLINE #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(always_inline) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) # define JSON_HEDLEY_ALWAYS_INLINE __attribute__((__always_inline__)) JSON_HEDLEY_INLINE #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(12,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) # define JSON_HEDLEY_ALWAYS_INLINE __forceinline #elif defined(__cplusplus) && \ ( \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) \ ) # define JSON_HEDLEY_ALWAYS_INLINE _Pragma("FUNC_ALWAYS_INLINE;") #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) # define JSON_HEDLEY_ALWAYS_INLINE _Pragma("inline=forced") #else # define JSON_HEDLEY_ALWAYS_INLINE JSON_HEDLEY_INLINE #endif #if defined(JSON_HEDLEY_NEVER_INLINE) #undef JSON_HEDLEY_NEVER_INLINE #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(noinline) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(10,1,0) || \ JSON_HEDLEY_TI_VERSION_CHECK(15,12,0) || \ (JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(4,8,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_ARMCL_VERSION_CHECK(5,2,0) || \ (JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL2000_VERSION_CHECK(6,4,0) || \ (JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,0,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(4,3,0) || \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) || \ JSON_HEDLEY_TI_CL7X_VERSION_CHECK(1,2,0) || \ JSON_HEDLEY_TI_CLPRU_VERSION_CHECK(2,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) || \ JSON_HEDLEY_IAR_VERSION_CHECK(8,10,0) #define JSON_HEDLEY_NEVER_INLINE __attribute__((__noinline__)) #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(13,10,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_NEVER_INLINE __declspec(noinline) #elif JSON_HEDLEY_PGI_VERSION_CHECK(10,2,0) #define JSON_HEDLEY_NEVER_INLINE _Pragma("noinline") #elif JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,0,0) && defined(__cplusplus) #define JSON_HEDLEY_NEVER_INLINE _Pragma("FUNC_CANNOT_INLINE;") #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) #define JSON_HEDLEY_NEVER_INLINE _Pragma("inline=never") #elif JSON_HEDLEY_COMPCERT_VERSION_CHECK(3,2,0) #define JSON_HEDLEY_NEVER_INLINE __attribute((noinline)) #elif JSON_HEDLEY_PELLES_VERSION_CHECK(9,0,0) #define JSON_HEDLEY_NEVER_INLINE __declspec(noinline) #else #define JSON_HEDLEY_NEVER_INLINE #endif #if defined(JSON_HEDLEY_PRIVATE) #undef JSON_HEDLEY_PRIVATE #endif #if defined(JSON_HEDLEY_PUBLIC) #undef JSON_HEDLEY_PUBLIC #endif #if defined(JSON_HEDLEY_IMPORT) #undef JSON_HEDLEY_IMPORT #endif #if defined(_WIN32) || defined(__CYGWIN__) # define JSON_HEDLEY_PRIVATE # define JSON_HEDLEY_PUBLIC __declspec(dllexport) # define JSON_HEDLEY_IMPORT __declspec(dllimport) #else # if \ JSON_HEDLEY_HAS_ATTRIBUTE(visibility) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,11,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ ( \ defined(__TI_EABI__) && \ ( \ (JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,2,0) && defined(__TI_GNU_ATTRIBUTE_SUPPORT__)) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(7,5,0) \ ) \ ) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) # define JSON_HEDLEY_PRIVATE __attribute__((__visibility__("hidden"))) # define JSON_HEDLEY_PUBLIC __attribute__((__visibility__("default"))) # else # define JSON_HEDLEY_PRIVATE # define JSON_HEDLEY_PUBLIC # endif # define JSON_HEDLEY_IMPORT extern #endif #if defined(JSON_HEDLEY_NO_THROW) #undef JSON_HEDLEY_NO_THROW #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(nothrow) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,3,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_NO_THROW __attribute__((__nothrow__)) #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(13,1,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) #define JSON_HEDLEY_NO_THROW __declspec(nothrow) #else #define JSON_HEDLEY_NO_THROW #endif #if defined(JSON_HEDLEY_FALL_THROUGH) #undef JSON_HEDLEY_FALL_THROUGH #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(fallthrough) || \ JSON_HEDLEY_GCC_VERSION_CHECK(7,0,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_FALL_THROUGH __attribute__((__fallthrough__)) #elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE_NS(clang,fallthrough) #define JSON_HEDLEY_FALL_THROUGH JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[clang::fallthrough]]) #elif JSON_HEDLEY_HAS_CPP_ATTRIBUTE(fallthrough) #define JSON_HEDLEY_FALL_THROUGH JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_([[fallthrough]]) #elif defined(__fallthrough) /* SAL */ #define JSON_HEDLEY_FALL_THROUGH __fallthrough #else #define JSON_HEDLEY_FALL_THROUGH #endif #if defined(JSON_HEDLEY_RETURNS_NON_NULL) #undef JSON_HEDLEY_RETURNS_NON_NULL #endif #if \ JSON_HEDLEY_HAS_ATTRIBUTE(returns_nonnull) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,9,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_RETURNS_NON_NULL __attribute__((__returns_nonnull__)) #elif defined(_Ret_notnull_) /* SAL */ #define JSON_HEDLEY_RETURNS_NON_NULL _Ret_notnull_ #else #define JSON_HEDLEY_RETURNS_NON_NULL #endif #if defined(JSON_HEDLEY_ARRAY_PARAM) #undef JSON_HEDLEY_ARRAY_PARAM #endif #if \ defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) && \ !defined(__STDC_NO_VLA__) && \ !defined(__cplusplus) && \ !defined(JSON_HEDLEY_PGI_VERSION) && \ !defined(JSON_HEDLEY_TINYC_VERSION) #define JSON_HEDLEY_ARRAY_PARAM(name) (name) #else #define JSON_HEDLEY_ARRAY_PARAM(name) #endif #if defined(JSON_HEDLEY_IS_CONSTANT) #undef JSON_HEDLEY_IS_CONSTANT #endif #if defined(JSON_HEDLEY_REQUIRE_CONSTEXPR) #undef JSON_HEDLEY_REQUIRE_CONSTEXPR #endif /* JSON_HEDLEY_IS_CONSTEXPR_ is for HEDLEY INTERNAL USE ONLY. API subject to change without notice. */ #if defined(JSON_HEDLEY_IS_CONSTEXPR_) #undef JSON_HEDLEY_IS_CONSTEXPR_ #endif #if \ JSON_HEDLEY_HAS_BUILTIN(__builtin_constant_p) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,19) || \ JSON_HEDLEY_ARM_VERSION_CHECK(4,1,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ JSON_HEDLEY_TI_CL6X_VERSION_CHECK(6,1,0) || \ (JSON_HEDLEY_SUNPRO_VERSION_CHECK(5,10,0) && !defined(__cplusplus)) || \ JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ JSON_HEDLEY_MCST_LCC_VERSION_CHECK(1,25,10) #define JSON_HEDLEY_IS_CONSTANT(expr) __builtin_constant_p(expr) #endif #if !defined(__cplusplus) # if \ JSON_HEDLEY_HAS_BUILTIN(__builtin_types_compatible_p) || \ JSON_HEDLEY_GCC_VERSION_CHECK(3,4,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(13,1,0) || \ JSON_HEDLEY_CRAY_VERSION_CHECK(8,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(5,4,0) || \ JSON_HEDLEY_TINYC_VERSION_CHECK(0,9,24) #if defined(__INTPTR_TYPE__) #define JSON_HEDLEY_IS_CONSTEXPR_(expr) __builtin_types_compatible_p(__typeof__((1 ? (void*) ((__INTPTR_TYPE__) ((expr) * 0)) : (int*) 0)), int*) #else #include #define JSON_HEDLEY_IS_CONSTEXPR_(expr) __builtin_types_compatible_p(__typeof__((1 ? (void*) ((intptr_t) ((expr) * 0)) : (int*) 0)), int*) #endif # elif \ ( \ defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L) && \ !defined(JSON_HEDLEY_SUNPRO_VERSION) && \ !defined(JSON_HEDLEY_PGI_VERSION) && \ !defined(JSON_HEDLEY_IAR_VERSION)) || \ (JSON_HEDLEY_HAS_EXTENSION(c_generic_selections) && !defined(JSON_HEDLEY_IAR_VERSION)) || \ JSON_HEDLEY_GCC_VERSION_CHECK(4,9,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(17,0,0) || \ JSON_HEDLEY_IBM_VERSION_CHECK(12,1,0) || \ JSON_HEDLEY_ARM_VERSION_CHECK(5,3,0) #if defined(__INTPTR_TYPE__) #define JSON_HEDLEY_IS_CONSTEXPR_(expr) _Generic((1 ? (void*) ((__INTPTR_TYPE__) ((expr) * 0)) : (int*) 0), int*: 1, void*: 0) #else #include #define JSON_HEDLEY_IS_CONSTEXPR_(expr) _Generic((1 ? (void*) ((intptr_t) * 0) : (int*) 0), int*: 1, void*: 0) #endif # elif \ defined(JSON_HEDLEY_GCC_VERSION) || \ defined(JSON_HEDLEY_INTEL_VERSION) || \ defined(JSON_HEDLEY_TINYC_VERSION) || \ defined(JSON_HEDLEY_TI_ARMCL_VERSION) || \ JSON_HEDLEY_TI_CL430_VERSION_CHECK(18,12,0) || \ defined(JSON_HEDLEY_TI_CL2000_VERSION) || \ defined(JSON_HEDLEY_TI_CL6X_VERSION) || \ defined(JSON_HEDLEY_TI_CL7X_VERSION) || \ defined(JSON_HEDLEY_TI_CLPRU_VERSION) || \ defined(__clang__) # define JSON_HEDLEY_IS_CONSTEXPR_(expr) ( \ sizeof(void) != \ sizeof(*( \ 1 ? \ ((void*) ((expr) * 0L) ) : \ ((struct { char v[sizeof(void) * 2]; } *) 1) \ ) \ ) \ ) # endif #endif #if defined(JSON_HEDLEY_IS_CONSTEXPR_) #if !defined(JSON_HEDLEY_IS_CONSTANT) #define JSON_HEDLEY_IS_CONSTANT(expr) JSON_HEDLEY_IS_CONSTEXPR_(expr) #endif #define JSON_HEDLEY_REQUIRE_CONSTEXPR(expr) (JSON_HEDLEY_IS_CONSTEXPR_(expr) ? (expr) : (-1)) #else #if !defined(JSON_HEDLEY_IS_CONSTANT) #define JSON_HEDLEY_IS_CONSTANT(expr) (0) #endif #define JSON_HEDLEY_REQUIRE_CONSTEXPR(expr) (expr) #endif #if defined(JSON_HEDLEY_BEGIN_C_DECLS) #undef JSON_HEDLEY_BEGIN_C_DECLS #endif #if defined(JSON_HEDLEY_END_C_DECLS) #undef JSON_HEDLEY_END_C_DECLS #endif #if defined(JSON_HEDLEY_C_DECL) #undef JSON_HEDLEY_C_DECL #endif #if defined(__cplusplus) #define JSON_HEDLEY_BEGIN_C_DECLS extern "C" { #define JSON_HEDLEY_END_C_DECLS } #define JSON_HEDLEY_C_DECL extern "C" #else #define JSON_HEDLEY_BEGIN_C_DECLS #define JSON_HEDLEY_END_C_DECLS #define JSON_HEDLEY_C_DECL #endif #if defined(JSON_HEDLEY_STATIC_ASSERT) #undef JSON_HEDLEY_STATIC_ASSERT #endif #if \ !defined(__cplusplus) && ( \ (defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 201112L)) || \ (JSON_HEDLEY_HAS_FEATURE(c_static_assert) && !defined(JSON_HEDLEY_INTEL_CL_VERSION)) || \ JSON_HEDLEY_GCC_VERSION_CHECK(6,0,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) || \ defined(_Static_assert) \ ) # define JSON_HEDLEY_STATIC_ASSERT(expr, message) _Static_assert(expr, message) #elif \ (defined(__cplusplus) && (__cplusplus >= 201103L)) || \ JSON_HEDLEY_MSVC_VERSION_CHECK(16,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) # define JSON_HEDLEY_STATIC_ASSERT(expr, message) JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(static_assert(expr, message)) #else # define JSON_HEDLEY_STATIC_ASSERT(expr, message) #endif #if defined(JSON_HEDLEY_NULL) #undef JSON_HEDLEY_NULL #endif #if defined(__cplusplus) #if __cplusplus >= 201103L #define JSON_HEDLEY_NULL JSON_HEDLEY_DIAGNOSTIC_DISABLE_CPP98_COMPAT_WRAP_(nullptr) #elif defined(NULL) #define JSON_HEDLEY_NULL NULL #else #define JSON_HEDLEY_NULL JSON_HEDLEY_STATIC_CAST(void*, 0) #endif #elif defined(NULL) #define JSON_HEDLEY_NULL NULL #else #define JSON_HEDLEY_NULL ((void*) 0) #endif #if defined(JSON_HEDLEY_MESSAGE) #undef JSON_HEDLEY_MESSAGE #endif #if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") # define JSON_HEDLEY_MESSAGE(msg) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS \ JSON_HEDLEY_PRAGMA(message msg) \ JSON_HEDLEY_DIAGNOSTIC_POP #elif \ JSON_HEDLEY_GCC_VERSION_CHECK(4,4,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) # define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message msg) #elif JSON_HEDLEY_CRAY_VERSION_CHECK(5,0,0) # define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(_CRI message msg) #elif JSON_HEDLEY_IAR_VERSION_CHECK(8,0,0) # define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message(msg)) #elif JSON_HEDLEY_PELLES_VERSION_CHECK(2,0,0) # define JSON_HEDLEY_MESSAGE(msg) JSON_HEDLEY_PRAGMA(message(msg)) #else # define JSON_HEDLEY_MESSAGE(msg) #endif #if defined(JSON_HEDLEY_WARNING) #undef JSON_HEDLEY_WARNING #endif #if JSON_HEDLEY_HAS_WARNING("-Wunknown-pragmas") # define JSON_HEDLEY_WARNING(msg) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ JSON_HEDLEY_DIAGNOSTIC_DISABLE_UNKNOWN_PRAGMAS \ JSON_HEDLEY_PRAGMA(clang warning msg) \ JSON_HEDLEY_DIAGNOSTIC_POP #elif \ JSON_HEDLEY_GCC_VERSION_CHECK(4,8,0) || \ JSON_HEDLEY_PGI_VERSION_CHECK(18,4,0) || \ JSON_HEDLEY_INTEL_VERSION_CHECK(13,0,0) # define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_PRAGMA(GCC warning msg) #elif \ JSON_HEDLEY_MSVC_VERSION_CHECK(15,0,0) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) # define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_PRAGMA(message(msg)) #else # define JSON_HEDLEY_WARNING(msg) JSON_HEDLEY_MESSAGE(msg) #endif #if defined(JSON_HEDLEY_REQUIRE) #undef JSON_HEDLEY_REQUIRE #endif #if defined(JSON_HEDLEY_REQUIRE_MSG) #undef JSON_HEDLEY_REQUIRE_MSG #endif #if JSON_HEDLEY_HAS_ATTRIBUTE(diagnose_if) # if JSON_HEDLEY_HAS_WARNING("-Wgcc-compat") # define JSON_HEDLEY_REQUIRE(expr) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wgcc-compat\"") \ __attribute__((diagnose_if(!(expr), #expr, "error"))) \ JSON_HEDLEY_DIAGNOSTIC_POP # define JSON_HEDLEY_REQUIRE_MSG(expr,msg) \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("clang diagnostic ignored \"-Wgcc-compat\"") \ __attribute__((diagnose_if(!(expr), msg, "error"))) \ JSON_HEDLEY_DIAGNOSTIC_POP # else # define JSON_HEDLEY_REQUIRE(expr) __attribute__((diagnose_if(!(expr), #expr, "error"))) # define JSON_HEDLEY_REQUIRE_MSG(expr,msg) __attribute__((diagnose_if(!(expr), msg, "error"))) # endif #else # define JSON_HEDLEY_REQUIRE(expr) # define JSON_HEDLEY_REQUIRE_MSG(expr,msg) #endif #if defined(JSON_HEDLEY_FLAGS) #undef JSON_HEDLEY_FLAGS #endif #if JSON_HEDLEY_HAS_ATTRIBUTE(flag_enum) && (!defined(__cplusplus) || JSON_HEDLEY_HAS_WARNING("-Wbitfield-enum-conversion")) #define JSON_HEDLEY_FLAGS __attribute__((__flag_enum__)) #else #define JSON_HEDLEY_FLAGS #endif #if defined(JSON_HEDLEY_FLAGS_CAST) #undef JSON_HEDLEY_FLAGS_CAST #endif #if JSON_HEDLEY_INTEL_VERSION_CHECK(19,0,0) # define JSON_HEDLEY_FLAGS_CAST(T, expr) (__extension__ ({ \ JSON_HEDLEY_DIAGNOSTIC_PUSH \ _Pragma("warning(disable:188)") \ ((T) (expr)); \ JSON_HEDLEY_DIAGNOSTIC_POP \ })) #else # define JSON_HEDLEY_FLAGS_CAST(T, expr) JSON_HEDLEY_STATIC_CAST(T, expr) #endif #if defined(JSON_HEDLEY_EMPTY_BASES) #undef JSON_HEDLEY_EMPTY_BASES #endif #if \ (JSON_HEDLEY_MSVC_VERSION_CHECK(19,0,23918) && !JSON_HEDLEY_MSVC_VERSION_CHECK(20,0,0)) || \ JSON_HEDLEY_INTEL_CL_VERSION_CHECK(2021,1,0) #define JSON_HEDLEY_EMPTY_BASES __declspec(empty_bases) #else #define JSON_HEDLEY_EMPTY_BASES #endif /* Remaining macros are deprecated. */ #if defined(JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK) #undef JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK #endif #if defined(__clang__) #define JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK(major,minor,patch) (0) #else #define JSON_HEDLEY_GCC_NOT_CLANG_VERSION_CHECK(major,minor,patch) JSON_HEDLEY_GCC_VERSION_CHECK(major,minor,patch) #endif #if defined(JSON_HEDLEY_CLANG_HAS_ATTRIBUTE) #undef JSON_HEDLEY_CLANG_HAS_ATTRIBUTE #endif #define JSON_HEDLEY_CLANG_HAS_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_ATTRIBUTE(attribute) #if defined(JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE) #undef JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE #endif #define JSON_HEDLEY_CLANG_HAS_CPP_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_CPP_ATTRIBUTE(attribute) #if defined(JSON_HEDLEY_CLANG_HAS_BUILTIN) #undef JSON_HEDLEY_CLANG_HAS_BUILTIN #endif #define JSON_HEDLEY_CLANG_HAS_BUILTIN(builtin) JSON_HEDLEY_HAS_BUILTIN(builtin) #if defined(JSON_HEDLEY_CLANG_HAS_FEATURE) #undef JSON_HEDLEY_CLANG_HAS_FEATURE #endif #define JSON_HEDLEY_CLANG_HAS_FEATURE(feature) JSON_HEDLEY_HAS_FEATURE(feature) #if defined(JSON_HEDLEY_CLANG_HAS_EXTENSION) #undef JSON_HEDLEY_CLANG_HAS_EXTENSION #endif #define JSON_HEDLEY_CLANG_HAS_EXTENSION(extension) JSON_HEDLEY_HAS_EXTENSION(extension) #if defined(JSON_HEDLEY_CLANG_HAS_DECLSPEC_DECLSPEC_ATTRIBUTE) #undef JSON_HEDLEY_CLANG_HAS_DECLSPEC_DECLSPEC_ATTRIBUTE #endif #define JSON_HEDLEY_CLANG_HAS_DECLSPEC_ATTRIBUTE(attribute) JSON_HEDLEY_HAS_DECLSPEC_ATTRIBUTE(attribute) #if defined(JSON_HEDLEY_CLANG_HAS_WARNING) #undef JSON_HEDLEY_CLANG_HAS_WARNING #endif #define JSON_HEDLEY_CLANG_HAS_WARNING(warning) JSON_HEDLEY_HAS_WARNING(warning) #endif /* !defined(JSON_HEDLEY_VERSION) || (JSON_HEDLEY_VERSION < X) */ // This file contains all internal macro definitions (except those affecting ABI) // You MUST include macro_unscope.hpp at the end of json.hpp to undef all of them // #include // exclude unsupported compilers #if !defined(JSON_SKIP_UNSUPPORTED_COMPILER_CHECK) #if defined(__clang__) #if (__clang_major__ * 10000 + __clang_minor__ * 100 + __clang_patchlevel__) < 30400 #error "unsupported Clang version - see https://github.com/nlohmann/json#supported-compilers" #endif #elif defined(__GNUC__) && !(defined(__ICC) || defined(__INTEL_COMPILER)) #if (__GNUC__ * 10000 + __GNUC_MINOR__ * 100 + __GNUC_PATCHLEVEL__) < 40800 #error "unsupported GCC version - see https://github.com/nlohmann/json#supported-compilers" #endif #endif #endif // C++ language standard detection // if the user manually specified the used c++ version this is skipped #if !defined(JSON_HAS_CPP_23) && !defined(JSON_HAS_CPP_20) && !defined(JSON_HAS_CPP_17) && !defined(JSON_HAS_CPP_14) && !defined(JSON_HAS_CPP_11) #if (defined(__cplusplus) && __cplusplus > 202002L) || (defined(_MSVC_LANG) && _MSVC_LANG > 202002L) #define JSON_HAS_CPP_23 #define JSON_HAS_CPP_20 #define JSON_HAS_CPP_17 #define JSON_HAS_CPP_14 #elif (defined(__cplusplus) && __cplusplus > 201703L) || (defined(_MSVC_LANG) && _MSVC_LANG > 201703L) #define JSON_HAS_CPP_20 #define JSON_HAS_CPP_17 #define JSON_HAS_CPP_14 #elif (defined(__cplusplus) && __cplusplus > 201402L) || (defined(_HAS_CXX17) && _HAS_CXX17 == 1) // fix for issue #464 #define JSON_HAS_CPP_17 #define JSON_HAS_CPP_14 #elif (defined(__cplusplus) && __cplusplus > 201103L) || (defined(_HAS_CXX14) && _HAS_CXX14 == 1) #define JSON_HAS_CPP_14 #endif // the cpp 11 flag is always specified because it is the minimal required version #define JSON_HAS_CPP_11 #endif #ifdef __has_include #if __has_include() #include #endif #endif #if !defined(JSON_HAS_FILESYSTEM) && !defined(JSON_HAS_EXPERIMENTAL_FILESYSTEM) #ifdef JSON_HAS_CPP_17 #if defined(__cpp_lib_filesystem) #define JSON_HAS_FILESYSTEM 1 #elif defined(__cpp_lib_experimental_filesystem) #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 #elif !defined(__has_include) #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 #elif __has_include() #define JSON_HAS_FILESYSTEM 1 #elif __has_include() #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 1 #endif // std::filesystem does not work on MinGW GCC 8: https://sourceforge.net/p/mingw-w64/bugs/737/ #if defined(__MINGW32__) && defined(__GNUC__) && __GNUC__ == 8 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif // no filesystem support before GCC 8: https://en.cppreference.com/w/cpp/compiler_support #if defined(__GNUC__) && !defined(__clang__) && __GNUC__ < 8 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif // no filesystem support before Clang 7: https://en.cppreference.com/w/cpp/compiler_support #if defined(__clang_major__) && __clang_major__ < 7 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif // no filesystem support before MSVC 19.14: https://en.cppreference.com/w/cpp/compiler_support #if defined(_MSC_VER) && _MSC_VER < 1914 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif // no filesystem support before iOS 13 #if defined(__IPHONE_OS_VERSION_MIN_REQUIRED) && __IPHONE_OS_VERSION_MIN_REQUIRED < 130000 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif // no filesystem support before macOS Catalina #if defined(__MAC_OS_X_VERSION_MIN_REQUIRED) && __MAC_OS_X_VERSION_MIN_REQUIRED < 101500 #undef JSON_HAS_FILESYSTEM #undef JSON_HAS_EXPERIMENTAL_FILESYSTEM #endif #endif #endif #ifndef JSON_HAS_EXPERIMENTAL_FILESYSTEM #define JSON_HAS_EXPERIMENTAL_FILESYSTEM 0 #endif #ifndef JSON_HAS_FILESYSTEM #define JSON_HAS_FILESYSTEM 0 #endif #ifndef JSON_HAS_THREE_WAY_COMPARISON #if defined(__cpp_impl_three_way_comparison) && __cpp_impl_three_way_comparison >= 201907L \ && defined(__cpp_lib_three_way_comparison) && __cpp_lib_three_way_comparison >= 201907L #define JSON_HAS_THREE_WAY_COMPARISON 1 #else #define JSON_HAS_THREE_WAY_COMPARISON 0 #endif #endif #ifndef JSON_HAS_RANGES // ranges header shipping in GCC 11.1.0 (released 2021-04-27) has syntax error #if defined(__GLIBCXX__) && __GLIBCXX__ == 20210427 #define JSON_HAS_RANGES 0 #elif defined(__cpp_lib_ranges) #define JSON_HAS_RANGES 1 #else #define JSON_HAS_RANGES 0 #endif #endif #ifndef JSON_HAS_STATIC_RTTI #if !defined(_HAS_STATIC_RTTI) || _HAS_STATIC_RTTI != 0 #define JSON_HAS_STATIC_RTTI 1 #else #define JSON_HAS_STATIC_RTTI 0 #endif #endif #ifdef JSON_HAS_CPP_17 #define JSON_INLINE_VARIABLE inline #else #define JSON_INLINE_VARIABLE #endif #if JSON_HEDLEY_HAS_ATTRIBUTE(no_unique_address) #define JSON_NO_UNIQUE_ADDRESS [[no_unique_address]] #else #define JSON_NO_UNIQUE_ADDRESS #endif // disable documentation warnings on clang #if defined(__clang__) #pragma clang diagnostic push #pragma clang diagnostic ignored "-Wdocumentation" #pragma clang diagnostic ignored "-Wdocumentation-unknown-command" #endif // allow disabling exceptions #if (defined(__cpp_exceptions) || defined(__EXCEPTIONS) || defined(_CPPUNWIND)) && !defined(JSON_NOEXCEPTION) #define JSON_THROW(exception) throw exception #define JSON_TRY try #define JSON_CATCH(exception) catch(exception) #define JSON_INTERNAL_CATCH(exception) catch(exception) #else #include #define JSON_THROW(exception) std::abort() #define JSON_TRY if(true) #define JSON_CATCH(exception) if(false) #define JSON_INTERNAL_CATCH(exception) if(false) #endif // override exception macros #if defined(JSON_THROW_USER) #undef JSON_THROW #define JSON_THROW JSON_THROW_USER #endif #if defined(JSON_TRY_USER) #undef JSON_TRY #define JSON_TRY JSON_TRY_USER #endif #if defined(JSON_CATCH_USER) #undef JSON_CATCH #define JSON_CATCH JSON_CATCH_USER #undef JSON_INTERNAL_CATCH #define JSON_INTERNAL_CATCH JSON_CATCH_USER #endif #if defined(JSON_INTERNAL_CATCH_USER) #undef JSON_INTERNAL_CATCH #define JSON_INTERNAL_CATCH JSON_INTERNAL_CATCH_USER #endif // allow overriding assert #if !defined(JSON_ASSERT) #include // assert #define JSON_ASSERT(x) assert(x) #endif // allow to access some private functions (needed by the test suite) #if defined(JSON_TESTS_PRIVATE) #define JSON_PRIVATE_UNLESS_TESTED public #else #define JSON_PRIVATE_UNLESS_TESTED private #endif /*! @brief macro to briefly define a mapping between an enum and JSON @def NLOHMANN_JSON_SERIALIZE_ENUM @since version 3.4.0 */ #define NLOHMANN_JSON_SERIALIZE_ENUM(ENUM_TYPE, ...) \ template \ inline void to_json(BasicJsonType& j, const ENUM_TYPE& e) \ { \ /* NOLINTNEXTLINE(modernize-type-traits) we use C++11 */ \ static_assert(std::is_enum::value, #ENUM_TYPE " must be an enum!"); \ /* NOLINTNEXTLINE(modernize-avoid-c-arrays) we don't want to depend on */ \ static const std::pair m[] = __VA_ARGS__; \ auto it = std::find_if(std::begin(m), std::end(m), \ [e](const std::pair& ej_pair) -> bool \ { \ return ej_pair.first == e; \ }); \ j = ((it != std::end(m)) ? it : std::begin(m))->second; \ } \ template \ inline void from_json(const BasicJsonType& j, ENUM_TYPE& e) \ { \ /* NOLINTNEXTLINE(modernize-type-traits) we use C++11 */ \ static_assert(std::is_enum::value, #ENUM_TYPE " must be an enum!"); \ /* NOLINTNEXTLINE(modernize-avoid-c-arrays) we don't want to depend on */ \ static const std::pair m[] = __VA_ARGS__; \ auto it = std::find_if(std::begin(m), std::end(m), \ [&j](const std::pair& ej_pair) -> bool \ { \ return ej_pair.second == j; \ }); \ e = ((it != std::end(m)) ? it : std::begin(m))->first; \ } // Ugly macros to avoid uglier copy-paste when specializing basic_json. They // may be removed in the future once the class is split. #define NLOHMANN_BASIC_JSON_TPL_DECLARATION \ template class ObjectType, \ template class ArrayType, \ class StringType, class BooleanType, class NumberIntegerType, \ class NumberUnsignedType, class NumberFloatType, \ template class AllocatorType, \ template class JSONSerializer, \ class BinaryType, \ class CustomBaseClass> #define NLOHMANN_BASIC_JSON_TPL \ basic_json // Macros to simplify conversion from/to types #define NLOHMANN_JSON_EXPAND( x ) x #define NLOHMANN_JSON_GET_MACRO(_1, _2, _3, _4, _5, _6, _7, _8, _9, _10, _11, _12, _13, _14, _15, _16, _17, _18, _19, _20, _21, _22, _23, _24, _25, _26, _27, _28, _29, _30, _31, _32, _33, _34, _35, _36, _37, _38, _39, _40, _41, _42, _43, _44, _45, _46, _47, _48, _49, _50, _51, _52, _53, _54, _55, _56, _57, _58, _59, _60, _61, _62, _63, _64, NAME,...) NAME #define NLOHMANN_JSON_PASTE(...) NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_GET_MACRO(__VA_ARGS__, \ NLOHMANN_JSON_PASTE64, \ NLOHMANN_JSON_PASTE63, \ NLOHMANN_JSON_PASTE62, \ NLOHMANN_JSON_PASTE61, \ NLOHMANN_JSON_PASTE60, \ NLOHMANN_JSON_PASTE59, \ NLOHMANN_JSON_PASTE58, \ NLOHMANN_JSON_PASTE57, \ NLOHMANN_JSON_PASTE56, \ NLOHMANN_JSON_PASTE55, \ NLOHMANN_JSON_PASTE54, \ NLOHMANN_JSON_PASTE53, \ NLOHMANN_JSON_PASTE52, \ NLOHMANN_JSON_PASTE51, \ NLOHMANN_JSON_PASTE50, \ NLOHMANN_JSON_PASTE49, \ NLOHMANN_JSON_PASTE48, \ NLOHMANN_JSON_PASTE47, \ NLOHMANN_JSON_PASTE46, \ NLOHMANN_JSON_PASTE45, \ NLOHMANN_JSON_PASTE44, \ NLOHMANN_JSON_PASTE43, \ NLOHMANN_JSON_PASTE42, \ NLOHMANN_JSON_PASTE41, \ NLOHMANN_JSON_PASTE40, \ NLOHMANN_JSON_PASTE39, \ NLOHMANN_JSON_PASTE38, \ NLOHMANN_JSON_PASTE37, \ NLOHMANN_JSON_PASTE36, \ NLOHMANN_JSON_PASTE35, \ NLOHMANN_JSON_PASTE34, \ NLOHMANN_JSON_PASTE33, \ NLOHMANN_JSON_PASTE32, \ NLOHMANN_JSON_PASTE31, \ NLOHMANN_JSON_PASTE30, \ NLOHMANN_JSON_PASTE29, \ NLOHMANN_JSON_PASTE28, \ NLOHMANN_JSON_PASTE27, \ NLOHMANN_JSON_PASTE26, \ NLOHMANN_JSON_PASTE25, \ NLOHMANN_JSON_PASTE24, \ NLOHMANN_JSON_PASTE23, \ NLOHMANN_JSON_PASTE22, \ NLOHMANN_JSON_PASTE21, \ NLOHMANN_JSON_PASTE20, \ NLOHMANN_JSON_PASTE19, \ NLOHMANN_JSON_PASTE18, \ NLOHMANN_JSON_PASTE17, \ NLOHMANN_JSON_PASTE16, \ NLOHMANN_JSON_PASTE15, \ NLOHMANN_JSON_PASTE14, \ NLOHMANN_JSON_PASTE13, \ NLOHMANN_JSON_PASTE12, \ NLOHMANN_JSON_PASTE11, \ NLOHMANN_JSON_PASTE10, \ NLOHMANN_JSON_PASTE9, \ NLOHMANN_JSON_PASTE8, \ NLOHMANN_JSON_PASTE7, \ NLOHMANN_JSON_PASTE6, \ NLOHMANN_JSON_PASTE5, \ NLOHMANN_JSON_PASTE4, \ NLOHMANN_JSON_PASTE3, \ NLOHMANN_JSON_PASTE2, \ NLOHMANN_JSON_PASTE1)(__VA_ARGS__)) #define NLOHMANN_JSON_PASTE2(func, v1) func(v1) #define NLOHMANN_JSON_PASTE3(func, v1, v2) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE2(func, v2) #define NLOHMANN_JSON_PASTE4(func, v1, v2, v3) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE3(func, v2, v3) #define NLOHMANN_JSON_PASTE5(func, v1, v2, v3, v4) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE4(func, v2, v3, v4) #define NLOHMANN_JSON_PASTE6(func, v1, v2, v3, v4, v5) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE5(func, v2, v3, v4, v5) #define NLOHMANN_JSON_PASTE7(func, v1, v2, v3, v4, v5, v6) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE6(func, v2, v3, v4, v5, v6) #define NLOHMANN_JSON_PASTE8(func, v1, v2, v3, v4, v5, v6, v7) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE7(func, v2, v3, v4, v5, v6, v7) #define NLOHMANN_JSON_PASTE9(func, v1, v2, v3, v4, v5, v6, v7, v8) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE8(func, v2, v3, v4, v5, v6, v7, v8) #define NLOHMANN_JSON_PASTE10(func, v1, v2, v3, v4, v5, v6, v7, v8, v9) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE9(func, v2, v3, v4, v5, v6, v7, v8, v9) #define NLOHMANN_JSON_PASTE11(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE10(func, v2, v3, v4, v5, v6, v7, v8, v9, v10) #define NLOHMANN_JSON_PASTE12(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE11(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11) #define NLOHMANN_JSON_PASTE13(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE12(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12) #define NLOHMANN_JSON_PASTE14(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE13(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13) #define NLOHMANN_JSON_PASTE15(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE14(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14) #define NLOHMANN_JSON_PASTE16(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE15(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15) #define NLOHMANN_JSON_PASTE17(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE16(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16) #define NLOHMANN_JSON_PASTE18(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE17(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17) #define NLOHMANN_JSON_PASTE19(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE18(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18) #define NLOHMANN_JSON_PASTE20(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE19(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19) #define NLOHMANN_JSON_PASTE21(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE20(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20) #define NLOHMANN_JSON_PASTE22(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE21(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21) #define NLOHMANN_JSON_PASTE23(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE22(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22) #define NLOHMANN_JSON_PASTE24(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE23(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23) #define NLOHMANN_JSON_PASTE25(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE24(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24) #define NLOHMANN_JSON_PASTE26(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE25(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25) #define NLOHMANN_JSON_PASTE27(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE26(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26) #define NLOHMANN_JSON_PASTE28(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE27(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27) #define NLOHMANN_JSON_PASTE29(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE28(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28) #define NLOHMANN_JSON_PASTE30(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE29(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29) #define NLOHMANN_JSON_PASTE31(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE30(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30) #define NLOHMANN_JSON_PASTE32(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE31(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31) #define NLOHMANN_JSON_PASTE33(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE32(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32) #define NLOHMANN_JSON_PASTE34(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE33(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33) #define NLOHMANN_JSON_PASTE35(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE34(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34) #define NLOHMANN_JSON_PASTE36(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE35(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35) #define NLOHMANN_JSON_PASTE37(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE36(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36) #define NLOHMANN_JSON_PASTE38(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE37(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37) #define NLOHMANN_JSON_PASTE39(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE38(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38) #define NLOHMANN_JSON_PASTE40(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE39(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39) #define NLOHMANN_JSON_PASTE41(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE40(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40) #define NLOHMANN_JSON_PASTE42(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE41(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41) #define NLOHMANN_JSON_PASTE43(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE42(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42) #define NLOHMANN_JSON_PASTE44(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE43(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43) #define NLOHMANN_JSON_PASTE45(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE44(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44) #define NLOHMANN_JSON_PASTE46(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE45(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45) #define NLOHMANN_JSON_PASTE47(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE46(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46) #define NLOHMANN_JSON_PASTE48(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE47(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47) #define NLOHMANN_JSON_PASTE49(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE48(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48) #define NLOHMANN_JSON_PASTE50(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE49(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49) #define NLOHMANN_JSON_PASTE51(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE50(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50) #define NLOHMANN_JSON_PASTE52(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE51(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51) #define NLOHMANN_JSON_PASTE53(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE52(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52) #define NLOHMANN_JSON_PASTE54(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE53(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53) #define NLOHMANN_JSON_PASTE55(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE54(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54) #define NLOHMANN_JSON_PASTE56(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE55(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55) #define NLOHMANN_JSON_PASTE57(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE56(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56) #define NLOHMANN_JSON_PASTE58(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE57(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57) #define NLOHMANN_JSON_PASTE59(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE58(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58) #define NLOHMANN_JSON_PASTE60(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE59(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59) #define NLOHMANN_JSON_PASTE61(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE60(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60) #define NLOHMANN_JSON_PASTE62(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE61(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61) #define NLOHMANN_JSON_PASTE63(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE62(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62) #define NLOHMANN_JSON_PASTE64(func, v1, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62, v63) NLOHMANN_JSON_PASTE2(func, v1) NLOHMANN_JSON_PASTE63(func, v2, v3, v4, v5, v6, v7, v8, v9, v10, v11, v12, v13, v14, v15, v16, v17, v18, v19, v20, v21, v22, v23, v24, v25, v26, v27, v28, v29, v30, v31, v32, v33, v34, v35, v36, v37, v38, v39, v40, v41, v42, v43, v44, v45, v46, v47, v48, v49, v50, v51, v52, v53, v54, v55, v56, v57, v58, v59, v60, v61, v62, v63) #define NLOHMANN_JSON_TO(v1) nlohmann_json_j[#v1] = nlohmann_json_t.v1; #define NLOHMANN_JSON_FROM(v1) nlohmann_json_j.at(#v1).get_to(nlohmann_json_t.v1); #define NLOHMANN_JSON_FROM_WITH_DEFAULT(v1) nlohmann_json_t.v1 = !nlohmann_json_j.is_null() ? nlohmann_json_j.value(#v1, nlohmann_json_default_obj.v1) : nlohmann_json_default_obj.v1; /*! @brief macro @def NLOHMANN_DEFINE_TYPE_INTRUSIVE @since version 3.9.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_INTRUSIVE(Type, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ friend void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_TYPE_INTRUSIVE_WITH_DEFAULT @since version 3.11.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_INTRUSIVE_WITH_DEFAULT(Type, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ friend void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { const Type nlohmann_json_default_obj{}; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_TYPE_INTRUSIVE_ONLY_SERIALIZE @since version 3.11.3 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_INTRUSIVE_ONLY_SERIALIZE(Type, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE @since version 3.9.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_non_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE(Type, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_WITH_DEFAULT @since version 3.11.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_non_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_WITH_DEFAULT(Type, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { const Type nlohmann_json_default_obj{}; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_ONLY_SERIALIZE @since version 3.11.3 @sa https://json.nlohmann.me/api/macros/nlohmann_define_type_non_intrusive/ */ #define NLOHMANN_DEFINE_TYPE_NON_INTRUSIVE_ONLY_SERIALIZE(Type, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE(Type, BaseType, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ friend void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { nlohmann::from_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE_WITH_DEFAULT @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE_WITH_DEFAULT(Type, BaseType, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ friend void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { nlohmann::from_json(nlohmann_json_j, static_cast(nlohmann_json_t)); const Type nlohmann_json_default_obj{}; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE_ONLY_SERIALIZE @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_INTRUSIVE_ONLY_SERIALIZE(Type, BaseType, ...) \ template::value, int> = 0> \ friend void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE(Type, BaseType, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { nlohmann::from_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE_WITH_DEFAULT @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE_WITH_DEFAULT(Type, BaseType, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } \ template::value, int> = 0> \ void from_json(const BasicJsonType& nlohmann_json_j, Type& nlohmann_json_t) { nlohmann::from_json(nlohmann_json_j, static_cast(nlohmann_json_t)); const Type nlohmann_json_default_obj{}; NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_FROM_WITH_DEFAULT, __VA_ARGS__)) } /*! @brief macro @def NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE_ONLY_SERIALIZE @since version 3.12.0 @sa https://json.nlohmann.me/api/macros/nlohmann_define_derived_type/ */ #define NLOHMANN_DEFINE_DERIVED_TYPE_NON_INTRUSIVE_ONLY_SERIALIZE(Type, BaseType, ...) \ template::value, int> = 0> \ void to_json(BasicJsonType& nlohmann_json_j, const Type& nlohmann_json_t) { nlohmann::to_json(nlohmann_json_j, static_cast(nlohmann_json_t)); NLOHMANN_JSON_EXPAND(NLOHMANN_JSON_PASTE(NLOHMANN_JSON_TO, __VA_ARGS__)) } // inspired from https://stackoverflow.com/a/26745591 // allows calling any std function as if (e.g., with begin): // using std::begin; begin(x); // // it allows using the detected idiom to retrieve the return type // of such an expression #define NLOHMANN_CAN_CALL_STD_FUNC_IMPL(std_name) \ namespace detail { \ using std::std_name; \ \ template \ using result_of_##std_name = decltype(std_name(std::declval()...)); \ } \ \ namespace detail2 { \ struct std_name##_tag \ { \ }; \ \ template \ std_name##_tag std_name(T&&...); \ \ template \ using result_of_##std_name = decltype(std_name(std::declval()...)); \ \ template \ struct would_call_std_##std_name \ { \ static constexpr auto const value = ::nlohmann::detail:: \ is_detected_exact::value; \ }; \ } /* namespace detail2 */ \ \ template \ struct would_call_std_##std_name : detail2::would_call_std_##std_name \ { \ } #ifndef JSON_USE_IMPLICIT_CONVERSIONS #define JSON_USE_IMPLICIT_CONVERSIONS 1 #endif #if JSON_USE_IMPLICIT_CONVERSIONS #define JSON_EXPLICIT #else #define JSON_EXPLICIT explicit #endif #ifndef JSON_DISABLE_ENUM_SERIALIZATION #define JSON_DISABLE_ENUM_SERIALIZATION 0 #endif #ifndef JSON_USE_GLOBAL_UDLS #define JSON_USE_GLOBAL_UDLS 1 #endif #if JSON_HAS_THREE_WAY_COMPARISON #include // partial_ordering #endif NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { /////////////////////////// // JSON type enumeration // /////////////////////////// /*! @brief the JSON type enumeration This enumeration collects the different JSON types. It is internally used to distinguish the stored values, and the functions @ref basic_json::is_null(), @ref basic_json::is_object(), @ref basic_json::is_array(), @ref basic_json::is_string(), @ref basic_json::is_boolean(), @ref basic_json::is_number() (with @ref basic_json::is_number_integer(), @ref basic_json::is_number_unsigned(), and @ref basic_json::is_number_float()), @ref basic_json::is_discarded(), @ref basic_json::is_primitive(), and @ref basic_json::is_structured() rely on it. @note There are three enumeration entries (number_integer, number_unsigned, and number_float), because the library distinguishes these three types for numbers: @ref basic_json::number_unsigned_t is used for unsigned integers, @ref basic_json::number_integer_t is used for signed integers, and @ref basic_json::number_float_t is used for floating-point numbers or to approximate integers which do not fit in the limits of their respective type. @sa see @ref basic_json::basic_json(const value_t value_type) -- create a JSON value with the default value for a given type @since version 1.0.0 */ enum class value_t : std::uint8_t { null, ///< null value object, ///< object (unordered set of name/value pairs) array, ///< array (ordered collection of values) string, ///< string value boolean, ///< boolean value number_integer, ///< number value (signed integer) number_unsigned, ///< number value (unsigned integer) number_float, ///< number value (floating-point) binary, ///< binary array (ordered collection of bytes) discarded ///< discarded by the parser callback function }; /*! @brief comparison operator for JSON types Returns an ordering that is similar to Python: - order: null < boolean < number < object < array < string < binary - furthermore, each type is not smaller than itself - discarded values are not comparable - binary is represented as a b"" string in python and directly comparable to a string; however, making a binary array directly comparable with a string would be surprising behavior in a JSON file. @since version 1.0.0 */ #if JSON_HAS_THREE_WAY_COMPARISON inline std::partial_ordering operator<=>(const value_t lhs, const value_t rhs) noexcept // *NOPAD* #else inline bool operator<(const value_t lhs, const value_t rhs) noexcept #endif { static constexpr std::array order = {{ 0 /* null */, 3 /* object */, 4 /* array */, 5 /* string */, 1 /* boolean */, 2 /* integer */, 2 /* unsigned */, 2 /* float */, 6 /* binary */ } }; const auto l_index = static_cast(lhs); const auto r_index = static_cast(rhs); #if JSON_HAS_THREE_WAY_COMPARISON if (l_index < order.size() && r_index < order.size()) { return order[l_index] <=> order[r_index]; // *NOPAD* } return std::partial_ordering::unordered; #else return l_index < order.size() && r_index < order.size() && order[l_index] < order[r_index]; #endif } // GCC selects the built-in operator< over an operator rewritten from // a user-defined spaceship operator // Clang, MSVC, and ICC select the rewritten candidate // (see GCC bug https://gcc.gnu.org/bugzilla/show_bug.cgi?id=105200) #if JSON_HAS_THREE_WAY_COMPARISON && defined(__GNUC__) inline bool operator<(const value_t lhs, const value_t rhs) noexcept { return std::is_lt(lhs <=> rhs); // *NOPAD* } #endif } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT // #include NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { /*! @brief replace all occurrences of a substring by another string @param[in,out] s the string to manipulate; changed so that all occurrences of @a f are replaced with @a t @param[in] f the substring to replace with @a t @param[in] t the string to replace @a f @pre The search string @a f must not be empty. **This precondition is enforced with an assertion.** @since version 2.0.0 */ template inline void replace_substring(StringType& s, const StringType& f, const StringType& t) { JSON_ASSERT(!f.empty()); for (auto pos = s.find(f); // find first occurrence of f pos != StringType::npos; // make sure f was found s.replace(pos, f.size(), t), // replace with t, and pos = s.find(f, pos + t.size())) // find next occurrence of f {} } /*! * @brief string escaping as described in RFC 6901 (Sect. 4) * @param[in] s string to escape * @return escaped string * * Note the order of escaping "~" to "~0" and "/" to "~1" is important. */ template inline StringType escape(StringType s) { replace_substring(s, StringType{"~"}, StringType{"~0"}); replace_substring(s, StringType{"/"}, StringType{"~1"}); return s; } /*! * @brief string unescaping as described in RFC 6901 (Sect. 4) * @param[in] s string to unescape * @return unescaped string * * Note the order of escaping "~1" to "/" and "~0" to "~" is important. */ template static void unescape(StringType& s) { replace_substring(s, StringType{"~1"}, StringType{"/"}); replace_substring(s, StringType{"~0"}, StringType{"~"}); } } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // size_t // #include NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { /// struct to capture the start position of the current token struct position_t { /// the total number of characters read std::size_t chars_read_total = 0; /// the number of characters read in the current line std::size_t chars_read_current_line = 0; /// the number of lines read std::size_t lines_read = 0; /// conversion to size_t to preserve SAX interface constexpr operator size_t() const { return chars_read_total; } }; } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-FileCopyrightText: 2018 The Abseil Authors // SPDX-License-Identifier: MIT #include // array #include // size_t #include // conditional, enable_if, false_type, integral_constant, is_constructible, is_integral, is_same, remove_cv, remove_reference, true_type #include // index_sequence, make_index_sequence, index_sequence_for // #include NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { template using uncvref_t = typename std::remove_cv::type>::type; #ifdef JSON_HAS_CPP_14 // the following utilities are natively available in C++14 using std::enable_if_t; using std::index_sequence; using std::make_index_sequence; using std::index_sequence_for; #else // alias templates to reduce boilerplate template using enable_if_t = typename std::enable_if::type; // The following code is taken from https://github.com/abseil/abseil-cpp/blob/10cb35e459f5ecca5b2ff107635da0bfa41011b4/absl/utility/utility.h // which is part of Google Abseil (https://github.com/abseil/abseil-cpp), licensed under the Apache License 2.0. //// START OF CODE FROM GOOGLE ABSEIL // integer_sequence // // Class template representing a compile-time integer sequence. An instantiation // of `integer_sequence` has a sequence of integers encoded in its // type through its template arguments (which is a common need when // working with C++11 variadic templates). `absl::integer_sequence` is designed // to be a drop-in replacement for C++14's `std::integer_sequence`. // // Example: // // template< class T, T... Ints > // void user_function(integer_sequence); // // int main() // { // // user_function's `T` will be deduced to `int` and `Ints...` // // will be deduced to `0, 1, 2, 3, 4`. // user_function(make_integer_sequence()); // } template struct integer_sequence { using value_type = T; static constexpr std::size_t size() noexcept { return sizeof...(Ints); } }; // index_sequence // // A helper template for an `integer_sequence` of `size_t`, // `absl::index_sequence` is designed to be a drop-in replacement for C++14's // `std::index_sequence`. template using index_sequence = integer_sequence; namespace utility_internal { template struct Extend; // Note that SeqSize == sizeof...(Ints). It's passed explicitly for efficiency. template struct Extend, SeqSize, 0> { using type = integer_sequence < T, Ints..., (Ints + SeqSize)... >; }; template struct Extend, SeqSize, 1> { using type = integer_sequence < T, Ints..., (Ints + SeqSize)..., 2 * SeqSize >; }; // Recursion helper for 'make_integer_sequence'. // 'Gen::type' is an alias for 'integer_sequence'. template struct Gen { using type = typename Extend < typename Gen < T, N / 2 >::type, N / 2, N % 2 >::type; }; template struct Gen { using type = integer_sequence; }; } // namespace utility_internal // Compile-time sequences of integers // make_integer_sequence // // This template alias is equivalent to // `integer_sequence`, and is designed to be a drop-in // replacement for C++14's `std::make_integer_sequence`. template using make_integer_sequence = typename utility_internal::Gen::type; // make_index_sequence // // This template alias is equivalent to `index_sequence<0, 1, ..., N-1>`, // and is designed to be a drop-in replacement for C++14's // `std::make_index_sequence`. template using make_index_sequence = make_integer_sequence; // index_sequence_for // // Converts a typename pack into an index sequence of the same length, and // is designed to be a drop-in replacement for C++14's // `std::index_sequence_for()` template using index_sequence_for = make_index_sequence; //// END OF CODE FROM GOOGLE ABSEIL #endif // dispatch utility (taken from ranges-v3) template struct priority_tag : priority_tag < N - 1 > {}; template<> struct priority_tag<0> {}; // taken from ranges-v3 template struct static_const { static JSON_INLINE_VARIABLE constexpr T value{}; }; #ifndef JSON_HAS_CPP_17 template constexpr T static_const::value; #endif template constexpr std::array make_array(Args&& ... args) { return std::array {{static_cast(std::forward(args))...}}; } } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // numeric_limits #include // char_traits #include // tuple #include // false_type, is_constructible, is_integral, is_same, true_type #include // declval // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #include // random_access_iterator_tag // #include // #include // #include NLOHMANN_JSON_NAMESPACE_BEGIN namespace detail { template struct iterator_types {}; template struct iterator_types < It, void_t> { using difference_type = typename It::difference_type; using value_type = typename It::value_type; using pointer = typename It::pointer; using reference = typename It::reference; using iterator_category = typename It::iterator_category; }; // This is required as some compilers implement std::iterator_traits in a way that // doesn't work with SFINAE. See https://github.com/nlohmann/json/issues/1341. template struct iterator_traits { }; template struct iterator_traits < T, enable_if_t < !std::is_pointer::value >> : iterator_types { }; template struct iterator_traits::value>> { using iterator_category = std::random_access_iterator_tag; using value_type = T; using difference_type = ptrdiff_t; using pointer = T*; using reference = T&; }; } // namespace detail NLOHMANN_JSON_NAMESPACE_END // #include // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT // #include NLOHMANN_JSON_NAMESPACE_BEGIN NLOHMANN_CAN_CALL_STD_FUNC_IMPL(begin); NLOHMANN_JSON_NAMESPACE_END // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT // #include NLOHMANN_JSON_NAMESPACE_BEGIN NLOHMANN_CAN_CALL_STD_FUNC_IMPL(end); NLOHMANN_JSON_NAMESPACE_END // #include // #include // #include // __ _____ _____ _____ // __| | __| | | | JSON for Modern C++ // | | |__ | | | | | | version 3.12.0 // |_____|_____|_____|_|___| https://github.com/nlohmann/json // // SPDX-FileCopyrightText: 2013 - 2025 Niels Lohmann // SPDX-License-Identifier: MIT #ifndef INCLUDE_NLOHMANN_JSON_FWD_HPP_ #define INCLUDE_NLOHMANN_JSON_FWD_HPP_ #include // int64_t, uint64_t #include // map #include // allocator #include // string #include // vector // #include /*! @brief namespace for Niels Lohmann @see https://github.com/nlohmann @since version 1.0.0 */ NLOHMANN_JSON_NAMESPACE_BEGIN /*! @brief default JSONSerializer template argument This serializer ignores the template arguments and uses ADL ([argument-dependent lookup](https://en.cppreference.com/w/cpp/language/adl)) for serialization. */ template struct adl_serializer; /// a class to store JSON values /// @sa https://json.nlohmann.me/api/basic_json/ template class ObjectType = std::map, template class ArrayType = std::vector, class StringType = std::string, class BooleanType = bool, class NumberIntegerType = std::int64_t, class NumberUnsignedType = std::uint64_t, class NumberFloatType = double, template class AllocatorType = std::allocator, template class JSONSerializer = adl_serializer, class BinaryType = std::vector, // cppcheck-suppress syntaxError class CustomBaseClass = void> class basic_json; /// @brief JSON Pointer defines a string syntax for identifying a specific value within a JSON document /// @sa https://json.nlohmann.me/api/json_pointer/ template class json_pointer; /*! @brief default specialization @sa https://json.nlohmann.me/api/json/ */ using json = basic_json<>; /// @brief a minimal map-like container that preserves insertion order /// @sa https://json.nlohmann.me/api/ordered_map/ template struct ordered_map; /// @brief specialization that maintains the insertion order of object keys /// @sa https://json.nlohmann.me/api/ordered_json/ using ordered_json = basic_json; NLOHMANN_JSON_NAMESPACE_END #endif // INCLUDE_NLOHMANN_JSON_FWD_HPP_ NLOHMANN_JSON_NAMESPACE_BEGIN /*! @brief detail namespace with internal helper functions This namespace collects functions that should not be exposed, implementations of some @ref basic_json methods, and meta-programming helpers. @since version 2.1.0 */ namespace detail { ///////////// // helpers // ///////////// // Note to maintainers: // // Every trait in this file expects a non CV-qualified type. // The only exceptions are in the 'aliases for detected' section // (i.e. those of the form: decltype(T::member_function(std::declval()))) // // In this case, T has to be properly CV-qualified to constraint the function arguments // (e.g. to_json(BasicJsonType&, const T&)) template struct is_basic_json : std::false_type {}; NLOHMANN_BASIC_JSON_TPL_DECLARATION struct is_basic_json : std::true_type {}; // used by exceptions create() member functions // true_type for pointer to possibly cv-qualified basic_json or std::nullptr_t // false_type otherwise template struct is_basic_json_context : std::integral_constant < bool, is_basic_json::type>::type>::value || std::is_same::value > {}; ////////////////////// // json_ref helpers // ////////////////////// template class json_ref; template struct is_json_ref : std::false_type {}; template struct is_json_ref> : std::true_type {}; ////////////////////////// // aliases for detected // ////////////////////////// template using mapped_type_t = typename T::mapped_type; template using key_type_t = typename T::key_type; template using value_type_t = typename T::value_type; template using difference_type_t = typename T::difference_type; template using pointer_t = typename T::pointer; template using reference_t = typename T::reference; template using iterator_category_t = typename T::iterator_category; template using to_json_function = decltype(T::to_json(std::declval()...)); template using from_json_function = decltype(T::from_json(std::declval()...)); template using get_template_function = decltype(std::declval().template get()); // trait checking if JSONSerializer::from_json(json const&, udt&) exists template struct has_from_json : std::false_type {}; // trait checking if j.get is valid // use this trait instead of std::is_constructible or std::is_convertible, // both rely on, or make use of implicit conversions, and thus fail when T // has several constructors/operator= (see https://github.com/nlohmann/json/issues/958) template struct is_getable { static constexpr bool value = is_detected::value; }; template struct has_from_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> { using serializer = typename BasicJsonType::template json_serializer; static constexpr bool value = is_detected_exact::value; }; // This trait checks if JSONSerializer::from_json(json const&) exists // this overload is used for non-default-constructible user-defined-types template struct has_non_default_from_json : std::false_type {}; template struct has_non_default_from_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> { using serializer = typename BasicJsonType::template json_serializer; static constexpr bool value = is_detected_exact::value; }; // This trait checks if BasicJsonType::json_serializer::to_json exists // Do not evaluate the trait when T is a basic_json type, to avoid template instantiation infinite recursion. template struct has_to_json : std::false_type {}; template struct has_to_json < BasicJsonType, T, enable_if_t < !is_basic_json::value >> { using serializer = typename BasicJsonType::template json_serializer; static constexpr bool value = is_detected_exact::value; }; template using detect_key_compare = typename T::key_compare; template struct has_key_compare : std::integral_constant::value> {}; // obtains the actual object key comparator template struct actual_object_comparator { using object_t = typename BasicJsonType::object_t; using object_comparator_t = typename BasicJsonType::default_object_comparator_t; using type = typename std::conditional < has_key_compare::value, typename object_t::key_compare, object_comparator_t>::type; }; template using actual_object_comparator_t = typename actual_object_comparator::type; ///////////////// // char_traits // ///////////////// // Primary template of char_traits calls std char_traits template struct char_traits : std::char_traits {}; // Explicitly define char traits for unsigned char since it is not standard template<> struct char_traits : std::char_traits { using char_type = unsigned char; using int_type = uint64_t; // Redefine to_int_type function static int_type to_int_type(char_type c) noexcept { return static_cast(c); } static char_type to_char_type(int_type i) noexcept { return static_cast(i); } static constexpr int_type eof() noexcept { return static_cast(std::char_traits::eof()); } }; // Explicitly define char traits for signed char since it is not standard template<> struct char_traits : std::char_traits { using char_type = signed char; using int_type = uint64_t; // Redefine to_int_type function static int_type to_int_type(char_type c) noexcept { return static_cast(c); } static char_type to_char_type(int_type i) noexcept { return static_cast(i); } static constexpr int_type eof() noexcept { return static_cast(std::char_traits::eof()); } }; /////////////////// // is_ functions // /////////////////// // https://en.cppreference.com/w/cpp/types/conjunction template struct conjunction : std::true_type { }; template struct conjunction : B { }; template struct conjunction : std::conditional(B::value), conjunction, B>::type {}; // https://en.cppreference.com/w/cpp/types/negation template struct negation : std::integral_constant < bool, !B::value > { }; // Reimplementation of is_constructible and is_default_constructible, due to them being broken for // std::pair and std::tuple until LWG 2367 fix (see https://cplusplus.github.io/LWG/lwg-defects.html#2367). // This causes compile errors in e.g. clang 3.5 or gcc 4.9. template struct is_default_constructible : std::is_default_constructible {}; template struct is_default_constructible> : conjunction, is_default_constructible> {}; template struct is_default_constructible> : conjunction, is_default_constructible> {}; template struct is_default_constructible> : conjunction...> {}; template struct is_default_constructible> : conjunction...> {}; template struct is_constructible : std::is_constructible {}; template struct is_constructible> : is_default_constructible> {}; template struct is_constructible> : is_default_constructible> {}; template struct is_constructible> : is_default_constructible> {}; template struct is_constructible> : is_default_constructible> {}; template struct is_iterator_traits : std::false_type {}; template struct is_iterator_traits> { private: using traits = iterator_traits; public: static constexpr auto value = is_detected::value && is_detected::value && is_detected::value && is_detected::value && is_detected::value; }; template struct is_range { private: using t_ref = typename std::add_lvalue_reference::type; using iterator = detected_t; using sentinel = detected_t; // to be 100% correct, it should use https://en.cppreference.com/w/cpp/iterator/input_or_output_iterator // and https://en.cppreference.com/w/cpp/iterator/sentinel_for // but reimplementing these would be too much work, as a lot of other concepts are used underneath static constexpr auto is_iterator_begin = is_iterator_traits>::value; public: static constexpr bool value = !std::is_same::value && !std::is_same::value && is_iterator_begin; }; template using iterator_t = enable_if_t::value, result_of_begin())>>; template using range_value_t = value_type_t>>; // The following implementation of is_complete_type is taken from // https://blogs.msdn.microsoft.com/vcblog/2015/12/02/partial-support-for-expression-sfinae-in-vs-2015-update-1/ // and is written by Xiang Fan who agreed to using it in this library. template struct is_complete_type : std::false_type {}; template struct is_complete_type : std::true_type {}; template struct is_compatible_object_type_impl : std::false_type {}; template struct is_compatible_object_type_impl < BasicJsonType, CompatibleObjectType, enable_if_t < is_detected::value&& is_detected::value >> { using object_t = typename BasicJsonType::object_t; // macOS's is_constructible does not play well with nonesuch... static constexpr bool value = is_constructible::value && is_constructible::value; }; template struct is_compatible_object_type : is_compatible_object_type_impl {}; template struct is_constructible_object_type_impl : std::false_type {}; template struct is_constructible_object_type_impl < BasicJsonType, ConstructibleObjectType, enable_if_t < is_detected::value&& is_detected::value >> { using object_t = typename BasicJsonType::object_t; static constexpr bool value = (is_default_constructible::value && (std::is_move_assignable::value || std::is_copy_assignable::value) && (is_constructible::value && std::is_same < typename object_t::mapped_type, typename ConstructibleObjectType::mapped_type >::value)) || (has_from_json::value || has_non_default_from_json < BasicJsonType, typename ConstructibleObjectType::mapped_type >::value); }; template struct is_constructible_object_type : is_constructible_object_type_impl {}; template struct is_compatible_string_type { static constexpr auto value = is_constructible::value; }; template struct is_constructible_string_type { // launder type through decltype() to fix compilation failure on ICPC #ifdef __INTEL_COMPILER using laundered_type = decltype(std::declval()); #else using laundered_type = ConstructibleStringType; #endif static constexpr auto value = conjunction < is_constructible, is_detected_exact>::value; }; template struct is_compatible_array_type_impl : std::false_type {}; template struct is_compatible_array_type_impl < BasicJsonType, CompatibleArrayType, enable_if_t < is_detected::value&& is_iterator_traits>>::value&& // special case for types like std::filesystem::path whose iterator's value_type are themselves // c.f. https://github.com/nlohmann/json/pull/3073 !std::is_same>::value >> { static constexpr bool value = is_constructible>::value; }; template struct is_compatible_array_type : is_compatible_array_type_impl {}; template struct is_constructible_array_type_impl : std::false_type {}; template struct is_constructible_array_type_impl < BasicJsonType, ConstructibleArrayType, enable_if_t::value >> : std::true_type {}; template struct is_constructible_array_type_impl < BasicJsonType, ConstructibleArrayType, enable_if_t < !std::is_same::value&& !is_compatible_string_type::value&& is_default_constructible::value&& (std::is_move_assignable::value || std::is_copy_assignable::value)&& is_detected::value&& is_iterator_traits>>::value&& is_detected::value&& // special case for types like std::filesystem::path whose iterator's value_type are themselves // c.f. https://github.com/nlohmann/json/pull/3073 !std::is_same>::value&& is_complete_type < detected_t>::value >> { using value_type = range_value_t; static constexpr bool value = std::is_same::value || has_from_json::value || has_non_default_from_json < BasicJsonType, value_type >::value; }; template struct is_constructible_array_type : is_constructible_array_type_impl {}; template struct is_compatible_integer_type_impl : std::false_type {}; template struct is_compatible_integer_type_impl < RealIntegerType, CompatibleNumberIntegerType, enable_if_t < std::is_integral::value&& std::is_integral::value&& !std::is_same::value >> { // is there an assert somewhere on overflows? using RealLimits = std::numeric_limits; using CompatibleLimits = std::numeric_limits; static constexpr auto value = is_constructible::value && CompatibleLimits::is_integer && RealLimits::is_signed == CompatibleLimits::is_signed; }; template struct is_compatible_integer_type : is_compatible_integer_type_impl {}; template struct is_compatible_type_impl: std::false_type {}; template struct is_compatible_type_impl < BasicJsonType, CompatibleType, enable_if_t::value >> { static constexpr bool value = has_to_json::value; }; template struct is_compatible_type : is_compatible_type_impl {}; template struct is_constructible_tuple : std::false_type {}; template struct is_constructible_tuple> : conjunction...> {}; template struct is_json_iterator_of : std::false_type {}; template struct is_json_iterator_of : std::true_type {}; template struct is_json_iterator_of : std::true_type {}; // checks if a given type T is a template specialization of Primary template