From e9a0e9ad7bd297b2f5447192105e3ea3fca85017 Mon Sep 17 00:00:00 2001 From: xinyang <895639507@qq.com> Date: Sat, 6 Jul 2019 20:20:48 +0800 Subject: [PATCH] =?UTF-8?q?=E5=A4=A7=E7=89=88=E6=9C=AC=E6=9B=B4=E6=96=B0?= =?UTF-8?q?=E3=80=82?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .gitignore | 1 + armor/include/armor_finder/armor_finder.h | 1 + armor/include/show_images/show_images.h | 6 +- armor/src/armor_finder/armor_finder.cpp | 9 +- .../armor_finder/classifier/classifier.cpp | 1 + .../searching_state/searching_state.cpp | 60 +- armor/src/show_images/show_images.cpp | 86 +- main.cpp | 9 +- others/src/camera/camera_wrapper.cpp | 4 +- tools/TrainCNN/backward.py | 154 +- tools/TrainCNN/cv_grab.py | 94 + tools/TrainCNN/forward.py | 16 +- tools/TrainCNN/generate.py | 31 +- tools/TrainCNN/grab.py | 111 + tools/TrainCNN/mvsdk.py | 2344 ++ tools/para/conv1_b | 16 +- tools/para/conv1_w | 1052 +- tools/para/conv2_b | 28 +- tools/para/conv2_w | 1696 +- tools/para/fc1_b | 32 +- tools/para/fc1_w | 29122 ++++++---------- tools/para/fc2_b | 28 +- tools/para/fc2_w | 418 +- 23 files changed, 15297 insertions(+), 20022 deletions(-) mode change 100644 => 100755 tools/TrainCNN/backward.py create mode 100644 tools/TrainCNN/cv_grab.py create mode 100644 tools/TrainCNN/grab.py create mode 100644 tools/TrainCNN/mvsdk.py diff --git a/.gitignore b/.gitignore index 00b23c5..e48ba1f 100644 --- a/.gitignore +++ b/.gitignore @@ -2,5 +2,6 @@ cmake-build-debug build .idea Mark +armor_box_photo tools/TrainCNN/.idea tools/TrainCNN/__pycache__ \ No newline at end of file diff --git a/armor/include/armor_finder/armor_finder.h b/armor/include/armor_finder/armor_finder.h index 82ff83f..e892428 100644 --- a/armor/include/armor_finder/armor_finder.h +++ b/armor/include/armor_finder/armor_finder.h @@ -26,6 +26,7 @@ private: const uint8_t &enemy_color; State state; cv::Rect2d armor_box; + int boxid; cv::Ptr tracker; cv::Mat src_gray; diff --git a/armor/include/show_images/show_images.h b/armor/include/show_images/show_images.h index ee183e7..b9998b5 100644 --- a/armor/include/show_images/show_images.h +++ b/armor/include/show_images/show_images.h @@ -9,11 +9,13 @@ #include #include #include +#include +extern std::map id2name; void showArmorBoxVector(std::string windows_name, const cv::Mat &src, const std::vector &armor_box); -void showArmorBox(std::string windows_name, const cv::Mat &src, cv::Rect2d armor_box); +void showArmorBox(std::string windows_name, const cv::Mat &src, cv::Rect2d armor_box, int boxid); void showContours(std::string windows_name, const cv::Mat &src, const std::vector &light_blobs); void showArmorBoxClass(std::string window_names, const cv::Mat &src, vector boxes[10]); - +void showCuoWeiDu(const cv::Mat &src, const std::vector &light_blobs); #endif /* _SHOW_IMAGES_H_ */ diff --git a/armor/src/armor_finder/armor_finder.cpp b/armor/src/armor_finder/armor_finder.cpp index b066075..c17f93b 100644 --- a/armor/src/armor_finder/armor_finder.cpp +++ b/armor/src/armor_finder/armor_finder.cpp @@ -14,7 +14,8 @@ ArmorFinder::ArmorFinder(uint8_t &color, Serial &u, string paras_folder, const u state(STANDBY_STATE), classifier(std::move(paras_folder)), contour_area(0), - use_classifier(use) + use_classifier(use), + boxid(-1) { } @@ -25,11 +26,11 @@ void ArmorFinder::run(cv::Mat &src) { cv::cvtColor(src_use, src_gray, CV_RGB2GRAY); if(show_armor_box){ - showArmorBox("box", src, armor_box); + showArmorBox("box", src, armor_box, boxid); cv::waitKey(1); } -// stateSearchingTarget(src_use); -// return; + stateSearchingTarget(src_use); + return; switch (state){ case SEARCHING_STATE: if(stateSearchingTarget(src_use)){ diff --git a/armor/src/armor_finder/classifier/classifier.cpp b/armor/src/armor_finder/classifier/classifier.cpp index dc717f2..404237c 100644 --- a/armor/src/armor_finder/classifier/classifier.cpp +++ b/armor/src/armor_finder/classifier/classifier.cpp @@ -300,6 +300,7 @@ int Classifier::operator()(const cv::Mat &image) { vector sub = {b, g, r}; vector> in = {sub}; MatrixXd result = calculate(in); +// cout << result << "==============" < light_blob_i.rect.size.height ? light_blob_i.rect.angle : + float angle_i = light_blob_i.rect.size.width > light_blob_i.rect.size.height ? light_blob_i.rect.angle: light_blob_i.rect.angle - 90; - float angle_j = light_blob_j.rect.size.width > light_blob_j.rect.size.height ? light_blob_j.rect.angle : + float angle_j = light_blob_j.rect.size.width > light_blob_j.rect.size.height ? light_blob_j.rect.angle: light_blob_j.rect.angle - 90; return abs(angle_i-angle_j)<10; } @@ -168,13 +168,42 @@ bool lengthRatioJudge(const LightBlob &light_blob_i, const LightBlob &light_blob && light_blob_i.length / light_blob_j.length > 0.5); } +/* 判断两个灯条的错位度，不知道英文是什么！！！ */ +bool CuoWeiDuJudge(const LightBlob &light_blob_i, const LightBlob &light_blob_j){ + float angle_i = light_blob_i.rect.size.width > light_blob_i.rect.size.height ? light_blob_i.rect.angle: + light_blob_i.rect.angle - 90; + float angle_j = light_blob_j.rect.size.width > light_blob_j.rect.size.height ? light_blob_j.rect.angle: + light_blob_j.rect.angle - 90; + float angle = (angle_i+angle_j)/2.0/180.0*3.14159265459; + if(abs(angle_i-angle_j)>90){ + angle += 3.14159265459/2; + } + Vector2f orientation(cos(angle), sin(angle)); + Vector2f p2p(light_blob_j.rect.center.x-light_blob_i.rect.center.x, light_blob_j.rect.center.y-light_blob_i.rect.center.y); + return abs(orientation.dot(p2p)) < 20; +} + +bool boxAngleJudge(const LightBlob &light_blob_i, const LightBlob &light_blob_j){ + float angle_i = light_blob_i.rect.size.width > light_blob_i.rect.size.height ? light_blob_i.rect.angle: + light_blob_i.rect.angle - 90; + float angle_j = light_blob_j.rect.size.width > light_blob_j.rect.size.height ? light_blob_j.rect.angle: + light_blob_j.rect.angle - 90; + float angle = (angle_i+angle_j)/2.0; + if(abs(angle_i-angle_j)>90){ + angle += 90.0; + } + return (-120.0 &arm double min_x, min_y, max_x, max_y; min_x = fmin(rect_left.x, rect_right.x) - 4; max_x = fmax(rect_left.x + rect_left.width, rect_right.x + rect_right.width) + 4; - min_y = fmin(rect_left.y, rect_right.y) - 0.3*(rect_left.height+rect_right.height)/2.0; - max_y = fmax(rect_left.y + rect_left.height, rect_right.y + rect_right.height) + 0.3*(rect_left.height+rect_right.height)/2.0; + min_y = fmin(rect_left.y, rect_right.y) - 0.5*(rect_left.height+rect_right.height)/2.0; + max_y = fmax(rect_left.y + rect_left.height, rect_right.y + rect_right.height) + 0.5*(rect_left.height+rect_right.height)/2.0; if (min_x < 0 || max_x > 640 || min_y < 0 || max_y > 480) { continue; } @@ -251,13 +280,13 @@ void get_blob_color(const cv::Mat &src, std::vector &blobs) { } } -int prior_red[] = {0, 2, 3, 4, 1, 5, 7, 8, 9, 6}; -int prior_blue[]= {5, 7, 8, 9, 6, 0, 2, 3, 4, 1}; +int prior_blue[] = {6, 0, 2, 3, 4, 5, 1, 13, 7, 9, 10, 11, 12, 8}; +int prior_red[]= {13, 7, 9, 10, 11, 12, 8, 6, 0, 2, 3, 4, 5, 1}; bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { cv::Mat split, src_bin/*, edge*/; LightBlobs light_blobs, light_blobs_, light_blobs_real; - std::vector armor_boxes, boxes_number[10]; + std::vector armor_boxes, boxes_number[14]; armor_box = cv::Rect2d(0,0,0,0); cv::cvtColor(src, src_gray, CV_BGR2GRAY); @@ -295,7 +324,8 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { light_blobs_real = light_blobs; get_blob_color(src, light_blobs_real); if(show_light_blobs){ - showContours("blobs_real", src, light_blobs_real); + showContours("light_blobs", src, light_blobs_real); +// showCuoWeiDu(src, light_blobs_real); cv::waitKey(1); } @@ -319,6 +349,7 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { for(auto id : prior_blue){ if(!boxes_number[id].empty()){ armor_box = boxes_number[id][0]; + boxid = id; break; } } @@ -326,6 +357,7 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { for(auto id : prior_red){ if(!boxes_number[id].empty()){ armor_box = boxes_number[id][0]; + boxid = id; break; } } @@ -337,9 +369,17 @@ bool ArmorFinder::stateSearchingTarget(cv::Mat &src) { } if(show_armor_boxes){ showArmorBoxClass("class", src, boxes_number); + for(int i=0; i +#include using namespace cv; +std::map id2name = { + {-1, "NO"}, + { 0, "B1"}, + { 1, "B2"}, + { 2, "B3"}, + { 3, "B4"}, + { 4, "B5"}, + { 5, "B7"}, + { 6, "B8"}, + { 7, "R1"}, + { 8, "R2"}, + { 9, "R3"}, + {10, "R4"}, + {11, "R5"}, + {12, "R7"}, + {13, "R8"}, +}; + void showArmorBoxVector(std::string windows_name, const cv::Mat &src, const std::vector &armor_box) { static Mat image2show; if (src.type() == CV_8UC1) // 黑白图像 @@ -27,20 +46,25 @@ void showArmorBoxClass(std::string window_names, const cv::Mat &src, vector light_blob_i.rect.size.height ? light_blob_i.rect.angle: + light_blob_i.rect.angle - 90; + float angle_j = light_blob_j.rect.size.width > light_blob_j.rect.size.height ? light_blob_j.rect.angle: + light_blob_j.rect.angle - 90; + float angle = (angle_i+angle_j)/2.0/180.0*3.14159265459; + if(abs(angle_i-angle_j)>90){ + angle += 3.14159265459/2; + } + Point2f orientation(cos(angle), sin(angle)); + Vector2f p2p(light_blob_j.rect.center.x-light_blob_i.rect.center.x, light_blob_i.rect.center.y-light_blob_j.rect.center.y); + cv::line( + src, + (light_blob_j.rect.center+light_blob_i.rect.center)/2.0, + (light_blob_j.rect.center+light_blob_i.rect.center)/2.0 + 100*orientation, + Scalar(0,255,0), + 2 + ); +} + +void showCuoWeiDu(const cv::Mat &src, const std::vector &light_blobs){ + Mat image2show = src.clone(); + for (int i = 0; i < light_blobs.size() - 1; ++i) { + for (int j = i + 1; j < light_blobs.size(); ++j) { + drawCuoWeiDu(image2show, light_blobs[i], light_blobs[j]); + } + } + imshow("CuoWeiDu", image2show); +} + diff --git a/main.cpp b/main.cpp index 34fb53c..841b953 100644 --- a/main.cpp +++ b/main.cpp @@ -32,7 +32,7 @@ mcu_data mcuData = { ARMOR_STATE, 0, 1, - ENEMY_RED, + ENEMY_BLUE, }; int main(int argc, char *argv[]) { @@ -57,14 +57,9 @@ int main(int argc, char *argv[]) { WrapperHead *video_armor=nullptr; WrapperHead *video_energy=nullptr; if (from_camera) { - video_armor = new CameraWrapper(0, "armor"); + video_armor = new CameraWrapper(0/*, "armor"*/); video_energy = new CameraWrapper(1, "energy"); } else { -// string armor_video, energy_video; -// lastVideo(armor_video, PROJECT_DIR"/armor_video/"); -// video_armor = new VideoWrapper(armor_video); -// lastVideo(energy_video, PROJECT_DIR"/energy_video/"); -// video_energy = new VideoWrapper(energy_video); video_armor = new VideoWrapper("/home/sjturm/Desktop/valid_video/armor/65.avi"); video_energy = new VideoWrapper("/home/sjturm/Desktop/valid_video/energy/121.avi"); } diff --git a/others/src/camera/camera_wrapper.cpp b/others/src/camera/camera_wrapper.cpp index 3d4a6cc..c16992b 100644 --- a/others/src/camera/camera_wrapper.cpp +++ b/others/src/camera/camera_wrapper.cpp @@ -76,9 +76,9 @@ bool CameraWrapper::init() { #elif defined(Linux) CameraSetAeState(h_camera, false); CameraSetExposureTime(h_camera, 10*1000); - CameraSetAnalogGain(h_camera, 20); + CameraSetAnalogGain(h_camera, 40); if(mode == 0){ - CameraSetGain(h_camera, 100, 130, 112); + CameraSetGain(h_camera, 100, 100, 100); CameraSetLutMode(h_camera, LUTMODE_PRESET); } #endif diff --git a/tools/TrainCNN/backward.py b/tools/TrainCNN/backward.py old mode 100644 new mode 100755 index cead37b..b1e3910 --- a/tools/TrainCNN/backward.py +++ b/tools/TrainCNN/backward.py @@ -5,8 +5,8 @@ from tqdm import tqdm import generate import forward import cv2 -import sys import numpy as np +import mvsdk print("Finish!") def save_kernal(fp, val): @@ -54,7 +54,7 @@ def save_para(folder, paras): save_bias(fp, paras[7]) -STEPS = 100000 +STEPS = 5000 BATCH = 30 LEARNING_RATE_BASE = 0.01 LEARNING_RATE_DECAY = 0.99 @@ -62,12 +62,16 @@ MOVING_AVERAGE_DECAY = 0.99 def train(dataset, show_bar=False): + test_images, test_labels = dataset.all_test_sets() + x = tf.placeholder(tf.float32, [None, generate.SRC_ROWS, generate.SRC_COLS, generate.SRC_CHANNELS]) y_= tf.placeholder(tf.float32, [None, forward.OUTPUT_NODES]) - nodes, vars = forward.forward(x, 0.001) + keep_rate = tf.placeholder(tf.float32) + nodes, vars = forward.forward(x, 0.01) y = nodes[-1] - ce = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=y, labels=tf.argmax(y_, 1)) +# ce = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=y, labels=tf.argmax(y_, 1)) + ce = tf.nn.weighted_cross_entropy_with_logits(logits=y, labels=tf.argmax(y_, 1), pos_weight=1) cem = tf.reduce_mean(ce) loss= cem + tf.add_n(tf.get_collection("losses")) @@ -87,72 +91,118 @@ def train(dataset, show_bar=False): correct_prediction = tf.equal(tf.argmax(y, 1), tf.argmax(y_, 1)) accuracy = tf.reduce_mean(tf.cast(correct_prediction, tf.float32)) + config = tf.ConfigProto(gpu_options=tf.GPUOptions(allow_growth=True)) with tf.Session(config=config) as sess: init_op = tf.global_variables_initializer() sess.run(init_op) - bar = tqdm(range(STEPS), dynamic_ncols=True) + bar = tqdm(range(STEPS), ascii=True, dynamic_ncols=True) for i in bar: images_samples, labels_samples = dataset.sample_train_sets(BATCH) _, loss_value, step = sess.run( [train_op, loss, global_step], - feed_dict={x: images_samples, y_: labels_samples} + feed_dict={x: images_samples, y_: labels_samples, keep_rate:0.7} ) if i % 100 == 0: if i % 1000 == 0: - test_samples, test_labels = dataset.sample_test_sets(1000) - acc = sess.run(accuracy, feed_dict={x: test_samples, y_: test_labels}) + acc = sess.run(accuracy, feed_dict={x: test_images, y_: test_labels, keep_rate:1.0}) bar.set_postfix({"loss": loss_value, "acc": acc}) - # video = cv2.VideoCapture("/home/xinyang/Desktop/Video.mp4") - # _ = True - # while _: - # _, frame = video.read() - # cv2.imshow("Video", frame) - # k = cv2.waitKey(10) - # if k == ord(" "): - # bbox = cv2.selectROI("frame", frame, False) - # print(bbox) - # roi = frame[bbox[1]:bbox[1]+bbox[3], bbox[0]:bbox[0]+bbox[2]] - # roi = cv2.resize(roi, (48, 36)) - # cv2.imshow("roi", roi) - # cv2.waitKey(0) - # roi = roi.astype(np.float32) - # roi /= 255.0 - # roi = roi.reshape([1, 36, 48, 3]) - # res = sess.run(y, feed_dict={x: roi}) - # res = res.reshape([forward.OUTPUT_NODES]) - # print(np.argmax(res)) - # elif k==ord("q"): - # break - # keep = True - # while keep: - # n = input() - # im = cv2.imread(n) - # im = cv2.resize(im, (48, 36)) - # cv2.imshow("im", im) - # if cv2.waitKey(0) == ord("q"): - # keep = False - # im = im.astype(np.float32) - # im /= 255.0 - # im = im.reshape([1, 36, 48, 3]) - # res = sess.run(y, feed_dict={x: im}) - # res = res.reshape([forward.OUTPUT_NODES]) - # print(np.argmax(res)) - - test_samples, test_labels = dataset.sample_test_sets(100) + + vars_val = sess.run(vars) - save_para("/home/xinyang/Desktop/AutoAim/tools/para", vars_val) - nodes_val = sess.run(nodes, feed_dict={x:test_samples}) - return vars_val, nodes_val, test_samples + save_para("/home/xinyang/Desktop/RM_auto-aim/tools/para", vars_val) + print("save done!") +# nodes_val = sess.run(nodes, feed_dict={x:test_images}) +# return vars_val, nodes_val + DevList = mvsdk.CameraEnumerateDevice() + nDev = len(DevList) + if nDev < 1: + print("No camera was found!") + return + + for i, DevInfo in enumerate(DevList): + print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType())) + i = 0 if nDev == 1 else int(input("Select camera: ")) + DevInfo = DevList[i] + print(DevInfo) + + # 打开相机 + hCamera = 0 + try: + hCamera = mvsdk.CameraInit(DevInfo, -1, -1) + except mvsdk.CameraException as e: + print("CameraInit Failed({}): {}".format(e.error_code, e.message) ) + return + + # 获取相机特性描述 + cap = mvsdk.CameraGetCapability(hCamera) + + # 判断是黑白相机还是彩色相机 + monoCamera = (cap.sIspCapacity.bMonoSensor != 0) + + # 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度 + if monoCamera: + mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8) + else: + mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8) + + # 相机模式切换成连续采集 + mvsdk.CameraSetTriggerMode(hCamera, 0) + + # 手动曝光，曝光时间30ms + mvsdk.CameraSetAeState(hCamera, 0) + mvsdk.CameraSetExposureTime(hCamera, 30 * 1000) + + # 让SDK内部取图线程开始工作 + mvsdk.CameraPlay(hCamera) + + # 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配 + FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3) + + # 分配RGB buffer，用来存放ISP输出的图像 + # 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer） + pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16) + + while (cv2.waitKey(1) & 0xFF) != ord('q'): + # 从相机取一帧图片 + try: + pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200) + mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead) + mvsdk.CameraReleaseImageBuffer(hCamera, pRawData) + # 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据 + # 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理 + frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer) + frame = np.frombuffer(frame_data, dtype=np.uint8) + frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) ) + + frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR) + cv2.imshow("Press q to end", frame) + if (cv2.waitKey(1)&0xFF) == ord(' '): + roi = cv2.selectROI("roi", frame) + roi = frame[roi[1]:roi[1]+roi[3], roi[0]:roi[0]+roi[2]] + print(roi) + cv2.imshow("box", roi) + image = cv2.resize(roi, (48, 36)) + image = image.astype(np.float32) / 255.0 + out = sess.run(y, feed_dict={x:[image]}) + print(out) + print(np.argmax(out)) + + except mvsdk.CameraException as e: + if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT: + print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) ) + + # 关闭相机 + mvsdk.CameraUnInit(hCamera) + + # 释放帧缓存 + mvsdk.CameraAlignFree(pFrameBuffer) if __name__ == "__main__": - print("Loading data sets...") - dataset = generate.DataSet("/home/xinyang/Desktop/dataset/box") - print("Finish!") + dataset = generate.DataSet("/home/xinyang/Desktop/box_cut") train(dataset, show_bar=True) - input("Press any key to end...") diff --git a/tools/TrainCNN/cv_grab.py b/tools/TrainCNN/cv_grab.py new file mode 100644 index 0000000..32054a5 --- /dev/null +++ b/tools/TrainCNN/cv_grab.py @@ -0,0 +1,94 @@ +#coding=utf-8 +import cv2 +import numpy as np +import mvsdk + +def main_loop(): + # 枚举相机 + DevList = mvsdk.CameraEnumerateDevice() + nDev = len(DevList) + if nDev < 1: + print("No camera was found!") + return + + for i, DevInfo in enumerate(DevList): + print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType())) + i = 0 if nDev == 1 else int(input("Select camera: ")) + DevInfo = DevList[i] + print(DevInfo) + + # 打开相机 + hCamera = 0 + try: + hCamera = mvsdk.CameraInit(DevInfo, -1, -1) + except mvsdk.CameraException as e: + print("CameraInit Failed({}): {}".format(e.error_code, e.message) ) + return + + # 获取相机特性描述 + cap = mvsdk.CameraGetCapability(hCamera) + + # 判断是黑白相机还是彩色相机 + monoCamera = (cap.sIspCapacity.bMonoSensor != 0) + + # 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度 + if monoCamera: + mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8) + else: + mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_BGR8) + + # 相机模式切换成连续采集 + mvsdk.CameraSetTriggerMode(hCamera, 0) + + # 手动曝光，曝光时间30ms + mvsdk.CameraSetAeState(hCamera, 0) + mvsdk.CameraSetExposureTime(hCamera, 30 * 1000) + + # 让SDK内部取图线程开始工作 + mvsdk.CameraPlay(hCamera) + + # 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配 + FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3) + + # 分配RGB buffer，用来存放ISP输出的图像 + # 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer） + pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16) + + while (cv2.waitKey(1) & 0xFF) != ord('q'): + # 从相机取一帧图片 + try: + pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 200) + mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead) + mvsdk.CameraReleaseImageBuffer(hCamera, pRawData) + + # 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据 + # 把pFrameBuffer转换成opencv的图像格式以进行后续算法处理 + frame_data = (mvsdk.c_ubyte * FrameHead.uBytes).from_address(pFrameBuffer) + frame = np.frombuffer(frame_data, dtype=np.uint8) + frame = frame.reshape((FrameHead.iHeight, FrameHead.iWidth, 1 if FrameHead.uiMediaType == mvsdk.CAMERA_MEDIA_TYPE_MONO8 else 3) ) + + frame = cv2.resize(frame, (640,480), interpolation = cv2.INTER_LINEAR) + cv2.imshow("Press q to end", frame) + roi = cv2.selectROI("roi", frame) + roi = frame[roi[1]:roi[1]+roi[3], roi[0]:roi[0]+roi[2]] + print(roi) + cv2.imshow("box", roi) + + + except mvsdk.CameraException as e: + if e.error_code != mvsdk.CAMERA_STATUS_TIME_OUT: + print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) ) + + # 关闭相机 + mvsdk.CameraUnInit(hCamera) + + # 释放帧缓存 + mvsdk.CameraAlignFree(pFrameBuffer) + +def main(): + try: + main_loop() + finally: + cv2.destroyAllWindows() + +main() diff --git a/tools/TrainCNN/forward.py b/tools/TrainCNN/forward.py index cb627b8..e5835ac 100644 --- a/tools/TrainCNN/forward.py +++ b/tools/TrainCNN/forward.py @@ -29,24 +29,25 @@ def max_pool_2x2(x): CONV1_KERNAL_SIZE = 5 # 第一层卷积输出通道数 -CONV1_OUTPUT_CHANNELS = 8 +CONV1_OUTPUT_CHANNELS = 6 # 第二层卷积核大小 CONV2_KERNAL_SIZE = 3 # 第二层卷积输出通道数 -CONV2_OUTPUT_CHANNELS = 16 +CONV2_OUTPUT_CHANNELS = 10 # 第一层全连接宽度 FC1_OUTPUT_NODES = 16 # 第二层全连接宽度（输出标签类型数） FC2_OUTPUT_NODES = 15 + # 输出标签类型数 OUTPUT_NODES = FC2_OUTPUT_NODES -def forward(x, regularizer=None): +def forward(x, regularizer=None, keep_rate=tf.constant(1.0)): vars = [] nodes = [] @@ -71,16 +72,19 @@ def forward(x, regularizer=None): pool_shape = pool2.get_shape().as_list() node = pool_shape[1] * pool_shape[2] * pool_shape[3] reshaped = tf.reshape(pool2, [-1, node]) + reshaped = tf.nn.dropout(reshaped, keep_rate) - fc1_w = tf.nn.dropout(get_weight([node, FC1_OUTPUT_NODES], regularizer), 0.1) + fc1_w = get_weight([node, FC1_OUTPUT_NODES], regularizer) fc1_b = get_bias([FC1_OUTPUT_NODES]) fc1 = tf.nn.relu(tf.matmul(reshaped, fc1_w) + fc1_b) + fc1 = tf.nn.dropout(fc1, keep_rate) vars.extend([fc1_w, fc1_b]) nodes.extend([fc1]) - fc2_w = tf.nn.dropout(get_weight([FC1_OUTPUT_NODES, FC2_OUTPUT_NODES], regularizer), 0.1) + fc2_w = get_weight([FC1_OUTPUT_NODES, FC2_OUTPUT_NODES], regularizer) fc2_b = get_bias([FC2_OUTPUT_NODES]) - fc2 = tf.nn.softmax(tf.matmul(fc1, fc2_w) + fc2_b) +# fc2 = tf.nn.softmax(tf.matmul(fc1, fc2_w) + fc2_b) + fc2 = tf.matmul(fc1, fc2_w) + fc2_b vars.extend([fc2_w, fc2_b]) nodes.extend([fc2]) diff --git a/tools/TrainCNN/generate.py b/tools/TrainCNN/generate.py index 84d2112..99d725c 100644 --- a/tools/TrainCNN/generate.py +++ b/tools/TrainCNN/generate.py @@ -2,10 +2,8 @@ import numpy as np import os import cv2 import random -from forward import OUTPUT_NODES -import sys -import os from tqdm import tqdm +from forward import OUTPUT_NODES # 原图像行数 SRC_ROWS = 36 @@ -24,7 +22,7 @@ class DataSet: self.test_labels = [] self.generate_data_sets(folder) - def file2nparray(self, name, random=False): + def file2nparray(self, name): image = cv2.imread(name) image = cv2.resize(image, (SRC_COLS, SRC_ROWS)) image = image.astype(np.float32) @@ -42,16 +40,12 @@ class DataSet: files = os.listdir(dir) for file in tqdm(files, postfix={"loading id": i}, dynamic_ncols=True): if file[-3:] == "jpg": - try: - if random.random() > 0.2: - self.train_samples.append(self.file2nparray("%s/%s" % (dir, file))) - self.train_labels.append(self.id2label(i)) - else: - self.test_samples.append(self.file2nparray("%s/%s" % (dir, file))) - self.test_labels.append(self.id2label(i)) - except: - print("%s/%s" % (dir, file)) - continue + if random.random() > 0.2: + self.train_samples.append(self.file2nparray("%s/%s" % (dir, file))) + self.train_labels.append(self.id2label(i)) + else: + self.test_samples.append(self.file2nparray("%s/%s" % (dir, file))) + self.test_labels.append(self.id2label(i)) self.train_samples = np.array(self.train_samples) self.train_labels = np.array(self.train_labels) self.test_samples = np.array(self.test_samples) @@ -67,15 +61,6 @@ class DataSet: labels.append(self.train_labels[id]) return np.array(samples), np.array(labels) - def sample_test_sets(self, length): - samples = [] - labels = [] - for i in range(length): - id = random.randint(0, len(self.test_samples)-1) - samples.append(self.test_samples[id]) - labels.append(self.test_labels[id]) - return np.array(samples), np.array(labels) - def all_train_sets(self): return self.train_samples[:], self.train_labels[:] diff --git a/tools/TrainCNN/grab.py b/tools/TrainCNN/grab.py new file mode 100644 index 0000000..efdbb2b --- /dev/null +++ b/tools/TrainCNN/grab.py @@ -0,0 +1,111 @@ +#coding=utf-8 +import mvsdk + +def main(): + # 枚举相机 + DevList = mvsdk.CameraEnumerateDevice() + nDev = len(DevList) + if nDev < 1: + print("No camera was found!") + return + + for i, DevInfo in enumerate(DevList): + print("{}: {} {}".format(i, DevInfo.GetFriendlyName(), DevInfo.GetPortType())) + i = 0 if nDev == 1 else int(input("Select camera: ")) + DevInfo = DevList[i] + print(DevInfo) + + # 打开相机 + hCamera = 0 + try: + hCamera = mvsdk.CameraInit(DevInfo, -1, -1) + except mvsdk.CameraException as e: + print("CameraInit Failed({}): {}".format(e.error_code, e.message) ) + return + + # 获取相机特性描述 + cap = mvsdk.CameraGetCapability(hCamera) + PrintCapbility(cap) + + # 判断是黑白相机还是彩色相机 + monoCamera = (cap.sIspCapacity.bMonoSensor != 0) + + # 黑白相机让ISP直接输出MONO数据，而不是扩展成R=G=B的24位灰度 + if monoCamera: + mvsdk.CameraSetIspOutFormat(hCamera, mvsdk.CAMERA_MEDIA_TYPE_MONO8) + + # 相机模式切换成连续采集 + mvsdk.CameraSetTriggerMode(hCamera, 0) + + # 手动曝光，曝光时间30ms + mvsdk.CameraSetAeState(hCamera, 0) + mvsdk.CameraSetExposureTime(hCamera, 30 * 1000) + + # 让SDK内部取图线程开始工作 + mvsdk.CameraPlay(hCamera) + + # 计算RGB buffer所需的大小，这里直接按照相机的最大分辨率来分配 + FrameBufferSize = cap.sResolutionRange.iWidthMax * cap.sResolutionRange.iHeightMax * (1 if monoCamera else 3) + + # 分配RGB buffer，用来存放ISP输出的图像 + # 备注：从相机传输到PC端的是RAW数据，在PC端通过软件ISP转为RGB数据（如果是黑白相机就不需要转换格式，但是ISP还有其它处理，所以也需要分配这个buffer） + pFrameBuffer = mvsdk.CameraAlignMalloc(FrameBufferSize, 16) + + # 从相机取一帧图片 + try: + pRawData, FrameHead = mvsdk.CameraGetImageBuffer(hCamera, 2000) + mvsdk.CameraImageProcess(hCamera, pRawData, pFrameBuffer, FrameHead) + mvsdk.CameraReleaseImageBuffer(hCamera, pRawData) + + # 此时图片已经存储在pFrameBuffer中，对于彩色相机pFrameBuffer=RGB数据，黑白相机pFrameBuffer=8位灰度数据 + # 该示例中我们只是把图片保存到硬盘文件中 + status = mvsdk.CameraSaveImage(hCamera, "./grab.bmp", pFrameBuffer, FrameHead, mvsdk.FILE_BMP, 100) + if status == mvsdk.CAMERA_STATUS_SUCCESS: + print("Save image successfully. image_size = {}X{}".format(FrameHead.iWidth, FrameHead.iHeight) ) + else: + print("Save image failed. err={}".format(status) ) + except mvsdk.CameraException as e: + print("CameraGetImageBuffer failed({}): {}".format(e.error_code, e.message) ) + + # 关闭相机 + mvsdk.CameraUnInit(hCamera) + + # 释放帧缓存 + mvsdk.CameraAlignFree(pFrameBuffer) + +def PrintCapbility(cap): + for i in range(cap.iTriggerDesc): + desc = cap.pTriggerDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iImageSizeDesc): + desc = cap.pImageSizeDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iClrTempDesc): + desc = cap.pClrTempDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iMediaTypeDesc): + desc = cap.pMediaTypeDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iFrameSpeedDesc): + desc = cap.pFrameSpeedDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iPackLenDesc): + desc = cap.pPackLenDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iPresetLut): + desc = cap.pPresetLutDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iAeAlmSwDesc): + desc = cap.pAeAlmSwDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iAeAlmHdDesc): + desc = cap.pAeAlmHdDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iBayerDecAlmSwDesc): + desc = cap.pBayerDecAlmSwDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + for i in range(cap.iBayerDecAlmHdDesc): + desc = cap.pBayerDecAlmHdDesc[i] + print("{}: {}".format(desc.iIndex, desc.GetDescription()) ) + +main() diff --git a/tools/TrainCNN/mvsdk.py b/tools/TrainCNN/mvsdk.py new file mode 100644 index 0000000..6bca73c --- /dev/null +++ b/tools/TrainCNN/mvsdk.py @@ -0,0 +1,2344 @@ +#coding=utf-8 +import platform +from ctypes import * +from threading import local + +# 回调函数类型 +CALLBACK_FUNC_TYPE = None + +# SDK动态库 +_sdk = None + +def _Init(): + global _sdk + global CALLBACK_FUNC_TYPE + + is_win = (platform.system() == "Windows") + is_x86 = (platform.architecture()[0] == '32bit') + + if is_win: + _sdk = windll.MVCAMSDK if is_x86 else windll.MVCAMSDK_X64 + CALLBACK_FUNC_TYPE = WINFUNCTYPE + else: + _sdk = cdll.LoadLibrary("libMVSDK.so") + CALLBACK_FUNC_TYPE = CFUNCTYPE + +_Init() + +#-------------------------------------------类型定义-------------------------------------------------- + +# 状态码定义 +CAMERA_STATUS_SUCCESS = 0 # 操作成功 +CAMERA_STATUS_FAILED = -1 # 操作失败 +CAMERA_STATUS_INTERNAL_ERROR = -2 # 内部错误 +CAMERA_STATUS_UNKNOW = -3 # 未知错误 +CAMERA_STATUS_NOT_SUPPORTED = -4 # 不支持该功能 +CAMERA_STATUS_NOT_INITIALIZED = -5 # 初始化未完成 +CAMERA_STATUS_PARAMETER_INVALID = -6 # 参数无效 +CAMERA_STATUS_PARAMETER_OUT_OF_BOUND = -7 # 参数越界 +CAMERA_STATUS_UNENABLED = -8 # 未使能 +CAMERA_STATUS_USER_CANCEL = -9 # 用户手动取消了，比如roi面板点击取消，返回 +CAMERA_STATUS_PATH_NOT_FOUND = -10 # 注册表中没有找到对应的路径 +CAMERA_STATUS_SIZE_DISMATCH = -11 # 获得图像数据长度和定义的尺寸不匹配 +CAMERA_STATUS_TIME_OUT = -12 # 超时错误 +CAMERA_STATUS_IO_ERROR = -13 # 硬件IO错误 +CAMERA_STATUS_COMM_ERROR = -14 # 通讯错误 +CAMERA_STATUS_BUS_ERROR = -15 # 总线错误 +CAMERA_STATUS_NO_DEVICE_FOUND = -16 # 没有发现设备 +CAMERA_STATUS_NO_LOGIC_DEVICE_FOUND = -17 # 未找到逻辑设备 +CAMERA_STATUS_DEVICE_IS_OPENED = -18 # 设备已经打开 +CAMERA_STATUS_DEVICE_IS_CLOSED = -19 # 设备已经关闭 +CAMERA_STATUS_DEVICE_VEDIO_CLOSED = -20 # 没有打开设备视频，调用录像相关的函数时，如果相机视频没有打开，则回返回该错误。 +CAMERA_STATUS_NO_MEMORY = -21 # 没有足够系统内存 +CAMERA_STATUS_FILE_CREATE_FAILED = -22 # 创建文件失败 +CAMERA_STATUS_FILE_INVALID = -23 # 文件格式无效 +CAMERA_STATUS_WRITE_PROTECTED = -24 # 写保护，不可写 +CAMERA_STATUS_GRAB_FAILED = -25 # 数据采集失败 +CAMERA_STATUS_LOST_DATA = -26 # 数据丢失，不完整 +CAMERA_STATUS_EOF_ERROR = -27 # 未接收到帧结束符 +CAMERA_STATUS_BUSY = -28 # 正忙(上一次操作还在进行中)，此次操作不能进行 +CAMERA_STATUS_WAIT = -29 # 需要等待(进行操作的条件不成立)，可以再次尝试 +CAMERA_STATUS_IN_PROCESS = -30 # 正在进行，已经被操作过 +CAMERA_STATUS_IIC_ERROR = -31 # IIC传输错误 +CAMERA_STATUS_SPI_ERROR = -32 # SPI传输错误 +CAMERA_STATUS_USB_CONTROL_ERROR = -33 # USB控制传输错误 +CAMERA_STATUS_USB_BULK_ERROR = -34 # USB BULK传输错误 +CAMERA_STATUS_SOCKET_INIT_ERROR = -35 # 网络传输套件初始化失败 +CAMERA_STATUS_GIGE_FILTER_INIT_ERROR = -36 # 网络相机内核过滤驱动初始化失败，请检查是否正确安装了驱动，或者重新安装。 +CAMERA_STATUS_NET_SEND_ERROR = -37 # 网络数据发送错误 +CAMERA_STATUS_DEVICE_LOST = -38 # 与网络相机失去连接，心跳检测超时 +CAMERA_STATUS_DATA_RECV_LESS = -39 # 接收到的字节数比请求的少 +CAMERA_STATUS_FUNCTION_LOAD_FAILED = -40 # 从文件中加载程序失败 +CAMERA_STATUS_CRITICAL_FILE_LOST = -41 # 程序运行所必须的文件丢失。 +CAMERA_STATUS_SENSOR_ID_DISMATCH = -42 # 固件和程序不匹配，原因是下载了错误的固件。 +CAMERA_STATUS_OUT_OF_RANGE = -43 # 参数超出有效范围。 +CAMERA_STATUS_REGISTRY_ERROR = -44 # 安装程序注册错误。请重新安装程序，或者运行安装目录Setup/Installer.exe +CAMERA_STATUS_ACCESS_DENY = -45 # 禁止访问。指定相机已经被其他程序占用时，再申请访问该相机，会返回该状态。(一个相机不能被多个程序同时访问) +#AIA的标准兼容的错误码 +CAMERA_AIA_PACKET_RESEND = 0x0100 #该帧需要重传 +CAMERA_AIA_NOT_IMPLEMENTED = 0x8001 #设备不支持的命令 +CAMERA_AIA_INVALID_PARAMETER = 0x8002 #命令参数非法 +CAMERA_AIA_INVALID_ADDRESS = 0x8003 #不可访问的地址 +CAMERA_AIA_WRITE_PROTECT = 0x8004 #访问的对象不可写 +CAMERA_AIA_BAD_ALIGNMENT = 0x8005 #访问的地址没有按照要求对齐 +CAMERA_AIA_ACCESS_DENIED = 0x8006 #没有访问权限 +CAMERA_AIA_BUSY = 0x8007 #命令正在处理中 +CAMERA_AIA_DEPRECATED = 0x8008 #0x8008-0x0800B 0x800F 该指令已经废弃 +CAMERA_AIA_PACKET_UNAVAILABLE = 0x800C #包无效 +CAMERA_AIA_DATA_OVERRUN = 0x800D #数据溢出，通常是收到的数据比需要的多 +CAMERA_AIA_INVALID_HEADER = 0x800E #数据包头部中某些区域与协议不匹配 +CAMERA_AIA_PACKET_NOT_YET_AVAILABLE = 0x8010 #图像分包数据还未准备好，多用于触发模式，应用程序访问超时 +CAMERA_AIA_PACKET_AND_PREV_REMOVED_FROM_MEMORY = 0x8011 #需要访问的分包已经不存在。多用于重传时数据已经不在缓冲区中 +CAMERA_AIA_PACKET_REMOVED_FROM_MEMORY = 0x8012 #CAMERA_AIA_PACKET_AND_PREV_REMOVED_FROM_MEMORY +CAMERA_AIA_NO_REF_TIME = 0x0813 #没有参考时钟源。多用于时间同步的命令执行时 +CAMERA_AIA_PACKET_TEMPORARILY_UNAVAILABLE = 0x0814 #由于信道带宽问题，当前分包暂时不可用，需稍后进行访问 +CAMERA_AIA_OVERFLOW = 0x0815 #设备端数据溢出，通常是队列已满 +CAMERA_AIA_ACTION_LATE = 0x0816 #命令执行已经超过有效的指定时间 +CAMERA_AIA_ERROR = 0x8FFF #错误 + +# 图像格式定义 +CAMERA_MEDIA_TYPE_MONO = 0x01000000 +CAMERA_MEDIA_TYPE_RGB = 0x02000000 +CAMERA_MEDIA_TYPE_COLOR = 0x02000000 +CAMERA_MEDIA_TYPE_OCCUPY1BIT = 0x00010000 +CAMERA_MEDIA_TYPE_OCCUPY2BIT = 0x00020000 +CAMERA_MEDIA_TYPE_OCCUPY4BIT = 0x00040000 +CAMERA_MEDIA_TYPE_OCCUPY8BIT = 0x00080000 +CAMERA_MEDIA_TYPE_OCCUPY10BIT = 0x000A0000 +CAMERA_MEDIA_TYPE_OCCUPY12BIT = 0x000C0000 +CAMERA_MEDIA_TYPE_OCCUPY16BIT = 0x00100000 +CAMERA_MEDIA_TYPE_OCCUPY24BIT = 0x00180000 +CAMERA_MEDIA_TYPE_OCCUPY32BIT = 0x00200000 +CAMERA_MEDIA_TYPE_OCCUPY36BIT = 0x00240000 +CAMERA_MEDIA_TYPE_OCCUPY48BIT = 0x00300000 +CAMERA_MEDIA_TYPE_EFFECTIVE_PIXEL_SIZE_MASK = 0x00FF0000 +CAMERA_MEDIA_TYPE_EFFECTIVE_PIXEL_SIZE_SHIFT = 16 +CAMERA_MEDIA_TYPE_ID_MASK = 0x0000FFFF +CAMERA_MEDIA_TYPE_COUNT = 0x46 + +#mono +CAMERA_MEDIA_TYPE_MONO1P = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY1BIT | 0x0037) +CAMERA_MEDIA_TYPE_MONO2P = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY2BIT | 0x0038) +CAMERA_MEDIA_TYPE_MONO4P = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY4BIT | 0x0039) +CAMERA_MEDIA_TYPE_MONO8 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x0001) +CAMERA_MEDIA_TYPE_MONO8S = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x0002) +CAMERA_MEDIA_TYPE_MONO10 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0003) +CAMERA_MEDIA_TYPE_MONO10_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0004) +CAMERA_MEDIA_TYPE_MONO12 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0005) +CAMERA_MEDIA_TYPE_MONO12_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0006) +CAMERA_MEDIA_TYPE_MONO14 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0025) +CAMERA_MEDIA_TYPE_MONO16 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0007) + +# Bayer +CAMERA_MEDIA_TYPE_BAYGR8 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x0008) +CAMERA_MEDIA_TYPE_BAYRG8 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x0009) +CAMERA_MEDIA_TYPE_BAYGB8 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x000A) +CAMERA_MEDIA_TYPE_BAYBG8 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY8BIT | 0x000B) + +CAMERA_MEDIA_TYPE_BAYGR10_MIPI = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY10BIT | 0x0026) +CAMERA_MEDIA_TYPE_BAYRG10_MIPI = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY10BIT | 0x0027) +CAMERA_MEDIA_TYPE_BAYGB10_MIPI = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY10BIT | 0x0028) +CAMERA_MEDIA_TYPE_BAYBG10_MIPI = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY10BIT | 0x0029) + +CAMERA_MEDIA_TYPE_BAYGR10 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x000C) +CAMERA_MEDIA_TYPE_BAYRG10 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x000D) +CAMERA_MEDIA_TYPE_BAYGB10 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x000E) +CAMERA_MEDIA_TYPE_BAYBG10 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x000F) + +CAMERA_MEDIA_TYPE_BAYGR12 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0010) +CAMERA_MEDIA_TYPE_BAYRG12 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0011) +CAMERA_MEDIA_TYPE_BAYGB12 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0012) +CAMERA_MEDIA_TYPE_BAYBG12 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0013) + +CAMERA_MEDIA_TYPE_BAYGR10_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0026) +CAMERA_MEDIA_TYPE_BAYRG10_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0027) +CAMERA_MEDIA_TYPE_BAYGB10_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0028) +CAMERA_MEDIA_TYPE_BAYBG10_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0029) + +CAMERA_MEDIA_TYPE_BAYGR12_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x002A) +CAMERA_MEDIA_TYPE_BAYRG12_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x002B) +CAMERA_MEDIA_TYPE_BAYGB12_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x002C) +CAMERA_MEDIA_TYPE_BAYBG12_PACKED = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x002D) + +CAMERA_MEDIA_TYPE_BAYGR16 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x002E) +CAMERA_MEDIA_TYPE_BAYRG16 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x002F) +CAMERA_MEDIA_TYPE_BAYGB16 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0030) +CAMERA_MEDIA_TYPE_BAYBG16 = (CAMERA_MEDIA_TYPE_MONO | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0031) + +# RGB +CAMERA_MEDIA_TYPE_RGB8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x0014) +CAMERA_MEDIA_TYPE_BGR8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x0015) +CAMERA_MEDIA_TYPE_RGBA8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY32BIT | 0x0016) +CAMERA_MEDIA_TYPE_BGRA8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY32BIT | 0x0017) +CAMERA_MEDIA_TYPE_RGB10 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0018) +CAMERA_MEDIA_TYPE_BGR10 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0019) +CAMERA_MEDIA_TYPE_RGB12 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x001A) +CAMERA_MEDIA_TYPE_BGR12 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x001B) +CAMERA_MEDIA_TYPE_RGB16 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0033) +CAMERA_MEDIA_TYPE_RGB10V1_PACKED = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY32BIT | 0x001C) +CAMERA_MEDIA_TYPE_RGB10P32 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY32BIT | 0x001D) +CAMERA_MEDIA_TYPE_RGB12V1_PACKED = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY36BIT | 0X0034) +CAMERA_MEDIA_TYPE_RGB565P = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0035) +CAMERA_MEDIA_TYPE_BGR565P = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0X0036) + +# YUV and YCbCr +CAMERA_MEDIA_TYPE_YUV411_8_UYYVYY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x001E) +CAMERA_MEDIA_TYPE_YUV422_8_UYVY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x001F) +CAMERA_MEDIA_TYPE_YUV422_8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0032) +CAMERA_MEDIA_TYPE_YUV8_UYV = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x0020) +CAMERA_MEDIA_TYPE_YCBCR8_CBYCR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x003A) +#CAMERA_MEDIA_TYPE_YCBCR422_8 : YYYYCbCrCbCr +CAMERA_MEDIA_TYPE_YCBCR422_8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x003B) +CAMERA_MEDIA_TYPE_YCBCR422_8_CBYCRY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0043) +CAMERA_MEDIA_TYPE_YCBCR411_8_CBYYCRYY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x003C) +CAMERA_MEDIA_TYPE_YCBCR601_8_CBYCR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x003D) +CAMERA_MEDIA_TYPE_YCBCR601_422_8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x003E) +CAMERA_MEDIA_TYPE_YCBCR601_422_8_CBYCRY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0044) +CAMERA_MEDIA_TYPE_YCBCR601_411_8_CBYYCRYY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x003F) +CAMERA_MEDIA_TYPE_YCBCR709_8_CBYCR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x0040) +CAMERA_MEDIA_TYPE_YCBCR709_422_8 = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0041) +CAMERA_MEDIA_TYPE_YCBCR709_422_8_CBYCRY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY16BIT | 0x0045) +CAMERA_MEDIA_TYPE_YCBCR709_411_8_CBYYCRYY = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY12BIT | 0x0042) + +# RGB Planar +CAMERA_MEDIA_TYPE_RGB8_PLANAR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY24BIT | 0x0021) +CAMERA_MEDIA_TYPE_RGB10_PLANAR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0022) +CAMERA_MEDIA_TYPE_RGB12_PLANAR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0023) +CAMERA_MEDIA_TYPE_RGB16_PLANAR = (CAMERA_MEDIA_TYPE_COLOR | CAMERA_MEDIA_TYPE_OCCUPY48BIT | 0x0024) + +# 保存格式 +FILE_JPG = 1 +FILE_BMP = 2 +FILE_RAW = 4 +FILE_PNG = 8 +FILE_BMP_8BIT = 16 +FILE_PNG_8BIT = 32 +FILE_RAW_16BIT = 64 + +# 触发信号 +EXT_TRIG_LEADING_EDGE = 0 +EXT_TRIG_TRAILING_EDGE = 1 +EXT_TRIG_HIGH_LEVEL = 2 +EXT_TRIG_LOW_LEVEL = 3 +EXT_TRIG_DOUBLE_EDGE = 4 + +# IO模式 +IOMODE_TRIG_INPUT = 0 +IOMODE_STROBE_OUTPUT = 1 +IOMODE_GP_INPUT = 2 +IOMODE_GP_OUTPUT = 3 +IOMODE_PWM_OUTPUT = 4 + + +# 相机操作异常信息 +class CameraException(Exception): + """docstring for CameraException""" + def __init__(self, error_code): + super(CameraException, self).__init__() + self.error_code = error_code + self.message = CameraGetErrorString(error_code) + + def __str__(self): + return 'error_code:{} message:{}'.format(self.error_code, self.message) + +class MvStructure(Structure): + def __str__(self): + strs = [] + for field in self._fields_: + name = field[0] + value = getattr(self, name) + if isinstance(value, type(b'')): + value = _string_buffer_to_str(value) + strs.append("{}:{}".format(name, value)) + return '\n'.join(strs) + +# 相机的设备信息，只读信息，请勿修改 +class tSdkCameraDevInfo(MvStructure): + _fields_ = [("acProductSeries", c_char * 32), #产品系列 + ("acProductName", c_char * 32), #产品名称 + ("acFriendlyName", c_char * 32), #产品昵称 + ("acLinkName", c_char * 32), #内核符号连接名，内部使用 + ("acDriverVersion", c_char * 32), #驱动版本 + ("acSensorType", c_char * 32), #sensor类型 + ("acPortType", c_char * 32), #接口类型 + ("acSn", c_char * 32), #产品唯一序列号 + ("uInstance", c_uint)] #该型号相机在该电脑上的实例索引号，用于区分同型号多相机 + + def GetProductSeries(self): + return _string_buffer_to_str(self.acProductSeries) + def GetProductName(self): + return _string_buffer_to_str(self.acProductName) + def GetFriendlyName(self): + return _string_buffer_to_str(self.acFriendlyName) + def GetLinkName(self): + return _string_buffer_to_str(self.acLinkName) + def GetDriverVersion(self): + return _string_buffer_to_str(self.acDriverVersion) + def GetSensorType(self): + return _string_buffer_to_str(self.acSensorType) + def GetPortType(self): + return _string_buffer_to_str(self.acPortType) + def GetSn(self): + return _string_buffer_to_str(self.acSn) + +# 相机的分辨率设定范围 +class tSdkResolutionRange(MvStructure): + _fields_ = [("iHeightMax", c_int), #图像最大高度 + ("iHeightMin", c_int), #图像最小高度 + ("iWidthMax", c_int), #图像最大宽度 + ("iWidthMin", c_int), #图像最小宽度 + ("uSkipModeMask", c_uint), #SKIP模式掩码，为0，表示不支持SKIP 。bit0为1,表示支持SKIP 2x2 bit1为1，表示支持SKIP 3x3.... + ("uBinSumModeMask", c_uint), #BIN(求和)模式掩码，为0，表示不支持BIN 。bit0为1,表示支持BIN 2x2 bit1为1，表示支持BIN 3x3.... + ("uBinAverageModeMask", c_uint),#BIN(求均值)模式掩码，为0，表示不支持BIN 。bit0为1,表示支持BIN 2x2 bit1为1，表示支持BIN 3x3.... + ("uResampleMask", c_uint)] #硬件重采样的掩码 + +#相机的分辨率描述 +class tSdkImageResolution(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 索引号，[0,N]表示预设的分辨率(N 为预设分辨率的最大个数，一般不超过20),OXFF 表示自定义分辨率(ROI) + ("acDescription", c_char * 32), # 该分辨率的描述信息。仅预设分辨率时该信息有效。自定义分辨率可忽略该信息 + ("uBinSumMode", c_uint), # BIN(求和)的模式,范围不能超过tSdkResolutionRange中uBinSumModeMask + ("uBinAverageMode", c_uint), # BIN(求均值)的模式,范围不能超过tSdkResolutionRange中uBinAverageModeMask + ("uSkipMode", c_uint), # 是否SKIP的尺寸，为0表示禁止SKIP模式，范围不能超过tSdkResolutionRange中uSkipModeMask + ("uResampleMask", c_uint), # 硬件重采样的掩码 + ("iHOffsetFOV", c_int), # 采集视场相对于Sensor最大视场左上角的垂直偏移 + ("iVOffsetFOV", c_int), # 采集视场相对于Sensor最大视场左上角的水平偏移 + ("iWidthFOV", c_int), # 采集视场的宽度 + ("iHeightFOV", c_int), # 采集视场的高度 + ("iWidth", c_int), # 相机最终输出的图像的宽度 + ("iHeight", c_int), # 相机最终输出的图像的高度 + ("iWidthZoomHd", c_int), # 硬件缩放的宽度,不需要进行此操作的分辨率，此变量设置为0. + ("iHeightZoomHd", c_int), # 硬件缩放的高度,不需要进行此操作的分辨率，此变量设置为0. + ("iWidthZoomSw", c_int), # 软件缩放的宽度,不需要进行此操作的分辨率，此变量设置为0. + ("iHeightZoomSw", c_int), # 软件缩放的高度,不需要进行此操作的分辨率，此变量设置为0. + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#相机白平衡模式描述信息 +class tSdkColorTemperatureDes(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 模式索引号 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#相机帧率描述信息 +class tSdkFrameSpeed(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 帧率索引号，一般0对应于低速模式，1对应于普通模式，2对应于高速模式 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#相机曝光功能范围定义 +class tSdkExpose(MvStructure): + _fields_ = [ + ("uiTargetMin", c_uint), #自动曝光亮度目标最小值 + ("uiTargetMax", c_uint), #自动曝光亮度目标最大值 + ("uiAnalogGainMin", c_uint), #模拟增益的最小值，单位为fAnalogGainStep中定义 + ("uiAnalogGainMax", c_uint), #模拟增益的最大值，单位为fAnalogGainStep中定义 + ("fAnalogGainStep", c_float), #模拟增益每增加1，对应的增加的放大倍数。例如，uiAnalogGainMin一般为16，fAnalogGainStep一般为0.125，那么最小放大倍数就是16*0.125 = 2倍 + ("uiExposeTimeMin", c_uint), #手动模式下，曝光时间的最小值，单位:行。根据CameraGetExposureLineTime可以获得一行对应的时间(微秒),从而得到整帧的曝光时间 + ("uiExposeTimeMax", c_uint), #手动模式下，曝光时间的最大值，单位:行 + ] + +#触发模式描述 +class tSdkTrigger(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 模式索引号 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#传输分包大小描述(主要是针对网络相机有效) +class tSdkPackLength(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 模式索引号 + ("acDescription", c_char * 32), # 描述信息 + ("iPackSize", c_uint), + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#预设的LUT表描述 +class tSdkPresetLut(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 编号 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#AE算法描述 +class tSdkAeAlgorithm(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 编号 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#RAW转RGB算法描述 +class tSdkBayerDecodeAlgorithm(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 编号 + ("acDescription", c_char * 32), # 描述信息 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#帧率统计信息 +class tSdkFrameStatistic(MvStructure): + _fields_ = [ + ("iTotal", c_int), #当前采集的总帧数（包括错误帧） + ("iCapture", c_int), #当前采集的有效帧的数量 + ("iLost", c_int), #当前丢帧的数量 + ] + +#相机输出的图像数据格式 +class tSdkMediaType(MvStructure): + _fields_ = [ + ("iIndex", c_int), # 格式种类编号 + ("acDescription", c_char * 32), # 描述信息 + ("iMediaType", c_uint), # 对应的图像格式编码，如CAMERA_MEDIA_TYPE_BAYGR8。 + ] + + def GetDescription(self): + return _string_buffer_to_str(self.acDescription) + +#伽马的设定范围 +class tGammaRange(MvStructure): + _fields_ = [ + ("iMin", c_int), #最小值 + ("iMax", c_int), #最大值 + ] + +#对比度的设定范围 +class tContrastRange(MvStructure): + _fields_ = [ + ("iMin", c_int), #最小值 + ("iMax", c_int), #最大值 + ] + +#RGB三通道数字增益的设定范围 +class tRgbGainRange(MvStructure): + _fields_ = [ + ("iRGainMin", c_int), #红色增益的最小值 + ("iRGainMax", c_int), #红色增益的最大值 + ("iGGainMin", c_int), #绿色增益的最小值 + ("iGGainMax", c_int), #绿色增益的最大值 + ("iBGainMin", c_int), #蓝色增益的最小值 + ("iBGainMax", c_int), #蓝色增益的最大值 + ] + +#饱和度设定的范围 +class tSaturationRange(MvStructure): + _fields_ = [ + ("iMin", c_int), #最小值 + ("iMax", c_int), #最大值 + ] + +#锐化的设定范围 +class tSharpnessRange(MvStructure): + _fields_ = [ + ("iMin", c_int), #最小值 + ("iMax", c_int), #最大值 + ] + +#ISP模块的使能信息 +class tSdkIspCapacity(MvStructure): + _fields_ = [ + ("bMonoSensor", c_int), #表示该型号相机是否为黑白相机,如果是黑白相机，则颜色相关的功能都无法调节 + ("bWbOnce", c_int), #表示该型号相机是否支持手动白平衡功能 + ("bAutoWb", c_int), #表示该型号相机是否支持自动白平衡功能 + ("bAutoExposure", c_int), #表示该型号相机是否支持自动曝光功能 + ("bManualExposure", c_int), #表示该型号相机是否支持手动曝光功能 + ("bAntiFlick", c_int), #表示该型号相机是否支持抗频闪功能 + ("bDeviceIsp", c_int), #表示该型号相机是否支持硬件ISP功能 + ("bForceUseDeviceIsp", c_int), #bDeviceIsp和bForceUseDeviceIsp同时为TRUE时，表示强制只用硬件ISP，不可取消。 + ("bZoomHD", c_int), #相机硬件是否支持图像缩放输出(只能是缩小)。 + ] + +# 定义整合的设备描述信息，这些信息可以用于动态构建UI +class tSdkCameraCapbility(MvStructure): + _fields_ = [ + ("pTriggerDesc", POINTER(tSdkTrigger)), + ("iTriggerDesc", c_int), #触发模式的个数，即pTriggerDesc数组的大小 + ("pImageSizeDesc", POINTER(tSdkImageResolution)), + ("iImageSizeDesc", c_int), #预设分辨率的个数，即pImageSizeDesc数组的大小 + ("pClrTempDesc", POINTER(tSdkColorTemperatureDes)), + ("iClrTempDesc", c_int), #预设色温个数 + ("pMediaTypeDesc", POINTER(tSdkMediaType)), + ("iMediaTypeDesc", c_int), #相机输出图像格式的种类个数，即pMediaTypeDesc数组的大小。 + ("pFrameSpeedDesc", POINTER(tSdkFrameSpeed)), #可调节帧速类型，对应界面上普通 高速 和超级三种速度设置 + ("iFrameSpeedDesc", c_int), #可调节帧速类型的个数，即pFrameSpeedDesc数组的大小。 + ("pPackLenDesc", POINTER(tSdkPackLength)), #传输包长度，一般用于网络设备 + ("iPackLenDesc", c_int), #可供选择的传输分包长度的个数，即pPackLenDesc数组的大小。 + ("iOutputIoCounts", c_int), #可编程输出IO的个数 + ("iInputIoCounts", c_int), #可编程输入IO的个数 + ("pPresetLutDesc", POINTER(tSdkPresetLut)), #相机预设的LUT表 + ("iPresetLut", c_int), #相机预设的LUT表的个数，即pPresetLutDesc数组的大小 + ("iUserDataMaxLen", c_int), #指示该相机中用于保存用户数据区的最大长度。为0表示无。 + ("bParamInDevice", c_int), #指示该设备是否支持从设备中读写参数组。1为支持，0不支持。 + ("pAeAlmSwDesc", POINTER(tSdkAeAlgorithm)),#软件自动曝光算法描述 + ("iAeAlmSwDesc", c_int), #软件自动曝光算法个数 + ("pAeAlmHdDesc", POINTER(tSdkAeAlgorithm)),#硬件自动曝光算法描述，为NULL表示不支持硬件自动曝光 + ("iAeAlmHdDesc", c_int), #硬件自动曝光算法个数，为0表示不支持硬件自动曝光 + ("pBayerDecAlmSwDesc", POINTER(tSdkBayerDecodeAlgorithm)),#软件Bayer转换为RGB数据的算法描述 + ("iBayerDecAlmSwDesc", c_int), #软件Bayer转换为RGB数据的算法个数 + ("pBayerDecAlmHdDesc", POINTER(tSdkBayerDecodeAlgorithm)),#硬件Bayer转换为RGB数据的算法描述，为NULL表示不支持 + ("iBayerDecAlmHdDesc", c_int), #硬件Bayer转换为RGB数据的算法个数，为0表示不支持 + + # 图像参数的调节范围定义,用于动态构建UI + ("sExposeDesc", tSdkExpose), #曝光的范围值 + ("sResolutionRange", tSdkResolutionRange), #分辨率范围描述 + ("sRgbGainRange", tRgbGainRange), #图像数字增益范围描述 + ("sSaturationRange", tSaturationRange), #饱和度范围描述 + ("sGammaRange", tGammaRange), #伽马范围描述 + ("sContrastRange", tContrastRange), #对比度范围描述 + ("sSharpnessRange", tSharpnessRange), #锐化范围描述 + ("sIspCapacity", tSdkIspCapacity), #ISP能力描述 + ] + +#图像帧头信息 +class tSdkFrameHead(MvStructure): + _fields_ = [ + ("uiMediaType", c_uint), # 图像格式,Image Format + ("uBytes", c_uint), # 图像数据字节数,Total bytes + ("iWidth", c_int), # 宽度 Image height + ("iHeight", c_int), # 高度 Image width + ("iWidthZoomSw", c_int), # 软件缩放的宽度,不需要进行软件裁剪的图像，此变量设置为0. + ("iHeightZoomSw", c_int), # 软件缩放的高度,不需要进行软件裁剪的图像，此变量设置为0. + ("bIsTrigger", c_int), # 指示是否为触发帧 is trigger + ("uiTimeStamp", c_uint), # 该帧的采集时间，单位0.1毫秒 + ("uiExpTime", c_uint), # 当前图像的曝光值，单位为微秒us + ("fAnalogGain", c_float), # 当前图像的模拟增益倍数 + ("iGamma", c_int), # 该帧图像的伽马设定值，仅当LUT模式为动态参数生成时有效，其余模式下为-1 + ("iContrast", c_int), # 该帧图像的对比度设定值，仅当LUT模式为动态参数生成时有效，其余模式下为-1 + ("iSaturation", c_int), # 该帧图像的饱和度设定值，对于黑白相机无意义，为0 + ("fRgain", c_float), # 该帧图像处理的红色数字增益倍数，对于黑白相机无意义，为1 + ("fGgain", c_float), # 该帧图像处理的绿色数字增益倍数，对于黑白相机无意义，为1 + ("fBgain", c_float), # 该帧图像处理的蓝色数字增益倍数，对于黑白相机无意义，为1 + ] + +# Grabber统计信息 +class tSdkGrabberStat(MvStructure): + _fields_ = [ + ("Width", c_int), # 帧图像大小 + ("Height", c_int), # 帧图像大小 + ("Disp", c_int), # 显示帧数量 + ("Capture", c_int), # 采集的有效帧的数量 + ("Lost", c_int), # 丢帧的数量 + ("Error", c_int), # 错帧的数量 + ("DispFps", c_float), # 显示帧率 + ("CapFps", c_float), # 捕获帧率 + ] + +# 方法回调辅助类 +class method(object): + def __init__(self, FuncType): + super(method, self).__init__() + self.FuncType = FuncType + self.cache = {} + + def __call__(self, cb): + self.cb = cb + return self + + def __get__(self, obj, objtype): + try: + return self.cache[obj] + except KeyError as e: + def cl(*args): + return self.cb(obj, *args) + r = self.cache[obj] = self.FuncType(cl) + return r + +# 图像捕获的回调函数定义 +CAMERA_SNAP_PROC = CALLBACK_FUNC_TYPE(None, c_int, c_void_p, POINTER(tSdkFrameHead), c_void_p) + +# 相机连接状态回调 +CAMERA_CONNECTION_STATUS_CALLBACK = CALLBACK_FUNC_TYPE(None, c_int, c_uint, c_uint, c_void_p) + +# 异步抓图完成回调 +pfnCameraGrabberSaveImageComplete = CALLBACK_FUNC_TYPE(None, c_void_p, c_void_p, c_int, c_void_p) + +# 帧监听回调 +pfnCameraGrabberFrameListener = CALLBACK_FUNC_TYPE(c_int, c_void_p, c_int, c_void_p, POINTER(tSdkFrameHead), c_void_p) + +# 采集器图像捕获的回调 +pfnCameraGrabberFrameCallback = CALLBACK_FUNC_TYPE(None, c_void_p, c_void_p, POINTER(tSdkFrameHead), c_void_p) + +#-----------------------------------函数接口------------------------------------------ + +# 线程局部存储 +_tls = local() + +# 存储最后一次SDK调用返回的错误码 +def GetLastError(): + try: + return _tls.last_error + except AttributeError as e: + _tls.last_error = 0 + return 0 + +def SetLastError(err_code): + _tls.last_error = err_code + +def _string_buffer_to_str(buf): + s = buf if isinstance(buf, type(b'')) else buf.value + + for codec in ('gbk', 'utf-8'): + try: + s = s.decode(codec) + break + except UnicodeDecodeError as e: + continue + + if isinstance(s, str): + return s + else: + return s.encode('utf-8') + +def _str_to_string_buffer(str): + if type(str) is type(u''): + s = str.encode('gbk') + else: + s = str.decode('utf-8').encode('gbk') + return create_string_buffer(s) + +def CameraSdkInit(iLanguageSel): + err_code = _sdk.CameraSdkInit(iLanguageSel) + SetLastError(err_code) + return err_code + +def CameraEnumerateDevice(MaxCount = 32): + Nums = c_int(MaxCount) + pCameraList = (tSdkCameraDevInfo * Nums.value)() + err_code = _sdk.CameraEnumerateDevice(pCameraList, byref(Nums)) + SetLastError(err_code) + return pCameraList[0:Nums.value] + +def CameraEnumerateDeviceEx(): + return _sdk.CameraEnumerateDeviceEx() + +def CameraIsOpened(pCameraInfo): + pOpened = c_int() + err_code = _sdk.CameraIsOpened(pCameraInfo, byref(pOpened) ) + SetLastError(err_code) + return pOpened.value != 0 + +def CameraInit(pCameraInfo, emParamLoadMode = -1, emTeam = -1): + pCameraHandle = c_int() + err_code = _sdk.CameraInit(byref(pCameraInfo), emParamLoadMode, emTeam, byref(pCameraHandle)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return pCameraHandle.value + +def CameraInitEx(iDeviceIndex, emParamLoadMode = -1, emTeam = -1): + pCameraHandle = c_int() + err_code = _sdk.CameraInitEx(iDeviceIndex, emParamLoadMode, emTeam, byref(pCameraHandle)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return pCameraHandle.value + +def CameraInitEx2(CameraName): + pCameraHandle = c_int() + err_code = _sdk.CameraInitEx2(_str_to_string_buffer(CameraName), byref(pCameraHandle)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return pCameraHandle.value + +def CameraSetCallbackFunction(hCamera, pCallBack, pContext = 0): + err_code = _sdk.CameraSetCallbackFunction(hCamera, pCallBack, c_void_p(pContext), None) + SetLastError(err_code) + return err_code + +def CameraUnInit(hCamera): + err_code = _sdk.CameraUnInit(hCamera) + SetLastError(err_code) + return err_code + +def CameraGetInformation(hCamera): + pbuffer = c_char_p() + err_code = _sdk.CameraGetInformation(hCamera, byref(pbuffer) ) + SetLastError(err_code) + if err_code == 0 and pbuffer.value is not None: + return _string_buffer_to_str(pbuffer) + return '' + +def CameraImageProcess(hCamera, pbyIn, pbyOut, pFrInfo): + err_code = _sdk.CameraImageProcess(hCamera, c_void_p(pbyIn), c_void_p(pbyOut), byref(pFrInfo)) + SetLastError(err_code) + return err_code + +def CameraImageProcessEx(hCamera, pbyIn, pbyOut, pFrInfo, uOutFormat, uReserved): + err_code = _sdk.CameraImageProcessEx(hCamera, c_void_p(pbyIn), c_void_p(pbyOut), byref(pFrInfo), uOutFormat, uReserved) + SetLastError(err_code) + return err_code + +def CameraDisplayInit(hCamera, hWndDisplay): + err_code = _sdk.CameraDisplayInit(hCamera, hWndDisplay) + SetLastError(err_code) + return err_code + +def CameraDisplayRGB24(hCamera, pFrameBuffer, pFrInfo): + err_code = _sdk.CameraDisplayRGB24(hCamera, c_void_p(pFrameBuffer), byref(pFrInfo) ) + SetLastError(err_code) + return err_code + +def CameraSetDisplayMode(hCamera, iMode): + err_code = _sdk.CameraSetDisplayMode(hCamera, iMode) + SetLastError(err_code) + return err_code + +def CameraSetDisplayOffset(hCamera, iOffsetX, iOffsetY): + err_code = _sdk.CameraSetDisplayOffset(hCamera, iOffsetX, iOffsetY) + SetLastError(err_code) + return err_code + +def CameraSetDisplaySize(hCamera, iWidth, iHeight): + err_code = _sdk.CameraSetDisplaySize(hCamera, iWidth, iHeight) + SetLastError(err_code) + return err_code + +def CameraGetImageBuffer(hCamera, wTimes): + pbyBuffer = c_void_p() + pFrameInfo = tSdkFrameHead() + err_code = _sdk.CameraGetImageBuffer(hCamera, byref(pFrameInfo), byref(pbyBuffer), wTimes) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (pbyBuffer.value, pFrameInfo) + +def CameraGetImageBufferEx(hCamera, wTimes): + _sdk.CameraGetImageBufferEx.restype = c_void_p + piWidth = c_int() + piHeight = c_int() + pFrameBuffer = _sdk.CameraGetImageBufferEx(hCamera, byref(piWidth), byref(piHeight), wTimes) + err_code = CAMERA_STATUS_SUCCESS if pFrameBuffer else CAMERA_STATUS_TIME_OUT + SetLastError(err_code) + if pFrameBuffer: + return (pFrameBuffer, piWidth.value, piHeight.value) + else: + raise CameraException(err_code) + +def CameraSnapToBuffer(hCamera, wTimes): + pbyBuffer = c_void_p() + pFrameInfo = tSdkFrameHead() + err_code = _sdk.CameraSnapToBuffer(hCamera, byref(pFrameInfo), byref(pbyBuffer), wTimes) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (pbyBuffer.value, pFrameInfo) + +def CameraReleaseImageBuffer(hCamera, pbyBuffer): + err_code = _sdk.CameraReleaseImageBuffer(hCamera, c_void_p(pbyBuffer) ) + SetLastError(err_code) + return err_code + +def CameraPlay(hCamera): + err_code = _sdk.CameraPlay(hCamera) + SetLastError(err_code) + return err_code + +def CameraPause(hCamera): + err_code = _sdk.CameraPause(hCamera) + SetLastError(err_code) + return err_code + +def CameraStop(hCamera): + err_code = _sdk.CameraStop(hCamera) + SetLastError(err_code) + return err_code + +def CameraInitRecord(hCamera, iFormat, pcSavePath, b2GLimit, dwQuality, iFrameRate): + err_code = _sdk.CameraInitRecord(hCamera, iFormat, _str_to_string_buffer(pcSavePath), b2GLimit, dwQuality, iFrameRate) + SetLastError(err_code) + return err_code + +def CameraStopRecord(hCamera): + err_code = _sdk.CameraStopRecord(hCamera) + SetLastError(err_code) + return err_code + +def CameraPushFrame(hCamera, pbyImageBuffer, pFrInfo): + err_code = _sdk.CameraPushFrame(hCamera, c_void_p(pbyImageBuffer), byref(pFrInfo) ) + SetLastError(err_code) + return err_code + +def CameraSaveImage(hCamera, lpszFileName, pbyImageBuffer, pFrInfo, byFileType, byQuality): + err_code = _sdk.CameraSaveImage(hCamera, _str_to_string_buffer(lpszFileName), c_void_p(pbyImageBuffer), byref(pFrInfo), byFileType, byQuality) + SetLastError(err_code) + return err_code + +def CameraSaveImageEx(hCamera, lpszFileName, pbyImageBuffer, uImageFormat, iWidth, iHeight, byFileType, byQuality): + err_code = _sdk.CameraSaveImageEx(hCamera, _str_to_string_buffer(lpszFileName), c_void_p(pbyImageBuffer), uImageFormat, iWidth, iHeight, byFileType, byQuality) + SetLastError(err_code) + return err_code + +def CameraGetImageResolution(hCamera): + psCurVideoSize = tSdkImageResolution() + err_code = _sdk.CameraGetImageResolution(hCamera, byref(psCurVideoSize) ) + SetLastError(err_code) + return psCurVideoSize + +def CameraSetImageResolution(hCamera, pImageResolution): + err_code = _sdk.CameraSetImageResolution(hCamera, byref(pImageResolution) ) + SetLastError(err_code) + return err_code + +def CameraSetImageResolutionEx(hCamera, iIndex, Mode, ModeSize, x, y, width, height, ZoomWidth, ZoomHeight): + err_code = _sdk.CameraSetImageResolutionEx(hCamera, iIndex, Mode, ModeSize, x, y, width, height, ZoomWidth, ZoomHeight) + SetLastError(err_code) + return err_code + +def CameraGetMediaType(hCamera): + piMediaType = c_int() + err_code = _sdk.CameraGetMediaType(hCamera, byref(piMediaType) ) + SetLastError(err_code) + return piMediaType.value + +def CameraSetMediaType(hCamera, iMediaType): + err_code = _sdk.CameraSetMediaType(hCamera, iMediaType) + SetLastError(err_code) + return err_code + +def CameraSetAeState(hCamera, bAeState): + err_code = _sdk.CameraSetAeState(hCamera, bAeState) + SetLastError(err_code) + return err_code + +def CameraGetAeState(hCamera): + pAeState = c_int() + err_code = _sdk.CameraGetAeState(hCamera, byref(pAeState) ) + SetLastError(err_code) + return pAeState.value + +def CameraSetSharpness(hCamera, iSharpness): + err_code = _sdk.CameraSetSharpness(hCamera, iSharpness) + SetLastError(err_code) + return err_code + +def CameraGetSharpness(hCamera): + piSharpness = c_int() + err_code = _sdk.CameraGetSharpness(hCamera, byref(piSharpness) ) + SetLastError(err_code) + return piSharpness.value + +def CameraSetLutMode(hCamera, emLutMode): + err_code = _sdk.CameraSetLutMode(hCamera, emLutMode) + SetLastError(err_code) + return err_code + +def CameraGetLutMode(hCamera): + pemLutMode = c_int() + err_code = _sdk.CameraGetLutMode(hCamera, byref(pemLutMode) ) + SetLastError(err_code) + return pemLutMode.value + +def CameraSelectLutPreset(hCamera, iSel): + err_code = _sdk.CameraSelectLutPreset(hCamera, iSel) + SetLastError(err_code) + return err_code + +def CameraGetLutPresetSel(hCamera): + piSel = c_int() + err_code = _sdk.CameraGetLutPresetSel(hCamera, byref(piSel) ) + SetLastError(err_code) + return piSel.value + +def CameraSetCustomLut(hCamera, iChannel, pLut): + pLutNative = (c_ushort * 4096)(*pLut) + err_code = _sdk.CameraSetCustomLut(hCamera, iChannel, pLutNative) + SetLastError(err_code) + return err_code + +def CameraGetCustomLut(hCamera, iChannel): + pLutNative = (c_ushort * 4096)() + err_code = _sdk.CameraGetCustomLut(hCamera, iChannel, pLutNative) + SetLastError(err_code) + return pLutNative[:] + +def CameraGetCurrentLut(hCamera, iChannel): + pLutNative = (c_ushort * 4096)() + err_code = _sdk.CameraGetCurrentLut(hCamera, iChannel, pLutNative) + SetLastError(err_code) + return pLutNative[:] + +def CameraSetWbMode(hCamera, bAuto): + err_code = _sdk.CameraSetWbMode(hCamera, bAuto) + SetLastError(err_code) + return err_code + +def CameraGetWbMode(hCamera): + pbAuto = c_int() + err_code = _sdk.CameraGetWbMode(hCamera, byref(pbAuto) ) + SetLastError(err_code) + return pbAuto.value + +def CameraSetPresetClrTemp(hCamera, iSel): + err_code = _sdk.CameraSetPresetClrTemp(hCamera, iSel) + SetLastError(err_code) + return err_code + +def CameraGetPresetClrTemp(hCamera): + piSel = c_int() + err_code = _sdk.CameraGetPresetClrTemp(hCamera, byref(piSel) ) + SetLastError(err_code) + return piSel.value + +def CameraSetUserClrTempGain(hCamera, iRgain, iGgain, iBgain): + err_code = _sdk.CameraSetUserClrTempGain(hCamera, iRgain, iGgain, iBgain) + SetLastError(err_code) + return err_code + +def CameraGetUserClrTempGain(hCamera): + piRgain = c_int() + piGgain = c_int() + piBgain = c_int() + err_code = _sdk.CameraGetUserClrTempGain(hCamera, byref(piRgain), byref(piGgain), byref(piBgain) ) + SetLastError(err_code) + return (piRgain.value, piGgain.value, piBgain.value) + +def CameraSetUserClrTempMatrix(hCamera, pMatrix): + pMatrixNative = (c_float * 9)(*pMatrix) + err_code = _sdk.CameraSetUserClrTempMatrix(hCamera, pMatrixNative) + SetLastError(err_code) + return err_code + +def CameraGetUserClrTempMatrix(hCamera): + pMatrixNative = (c_float * 9)() + err_code = _sdk.CameraGetUserClrTempMatrix(hCamera, pMatrixNative) + SetLastError(err_code) + return pMatrixNative[:] + +def CameraSetClrTempMode(hCamera, iMode): + err_code = _sdk.CameraSetClrTempMode(hCamera, iMode) + SetLastError(err_code) + return err_code + +def CameraGetClrTempMode(hCamera): + piMode = c_int() + err_code = _sdk.CameraGetClrTempMode(hCamera, byref(piMode) ) + SetLastError(err_code) + return piMode.value + +def CameraSetOnceWB(hCamera): + err_code = _sdk.CameraSetOnceWB(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetOnceBB(hCamera): + err_code = _sdk.CameraSetOnceBB(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetAeTarget(hCamera, iAeTarget): + err_code = _sdk.CameraSetAeTarget(hCamera, iAeTarget) + SetLastError(err_code) + return err_code + +def CameraGetAeTarget(hCamera): + piAeTarget = c_int() + err_code = _sdk.CameraGetAeTarget(hCamera, byref(piAeTarget) ) + SetLastError(err_code) + return piAeTarget.value + +def CameraSetAeExposureRange(hCamera, fMinExposureTime, fMaxExposureTime): + err_code = _sdk.CameraSetAeExposureRange(hCamera, c_double(fMinExposureTime), c_double(fMaxExposureTime) ) + SetLastError(err_code) + return err_code + +def CameraGetAeExposureRange(hCamera): + fMinExposureTime = c_double() + fMaxExposureTime = c_double() + err_code = _sdk.CameraGetAeExposureRange(hCamera, byref(fMinExposureTime), byref(fMaxExposureTime) ) + SetLastError(err_code) + return (fMinExposureTime.value, fMaxExposureTime.value) + +def CameraSetAeAnalogGainRange(hCamera, iMinAnalogGain, iMaxAnalogGain): + err_code = _sdk.CameraSetAeAnalogGainRange(hCamera, iMinAnalogGain, iMaxAnalogGain) + SetLastError(err_code) + return err_code + +def CameraGetAeAnalogGainRange(hCamera): + iMinAnalogGain = c_int() + iMaxAnalogGain = c_int() + err_code = _sdk.CameraGetAeAnalogGainRange(hCamera, byref(iMinAnalogGain), byref(iMaxAnalogGain) ) + SetLastError(err_code) + return (iMinAnalogGain.value, iMaxAnalogGain.value) + +def CameraSetAeThreshold(hCamera, iThreshold): + err_code = _sdk.CameraSetAeThreshold(hCamera, iThreshold) + SetLastError(err_code) + return err_code + +def CameraGetAeThreshold(hCamera): + iThreshold = c_int() + err_code = _sdk.CameraGetAeThreshold(hCamera, byref(iThreshold)) + SetLastError(err_code) + return iThreshold.value + +def CameraSetExposureTime(hCamera, fExposureTime): + err_code = _sdk.CameraSetExposureTime(hCamera, c_double(fExposureTime) ) + SetLastError(err_code) + return err_code + +def CameraGetExposureLineTime(hCamera): + pfLineTime = c_double() + err_code = _sdk.CameraGetExposureLineTime(hCamera, byref(pfLineTime)) + SetLastError(err_code) + return pfLineTime.value + +def CameraGetExposureTime(hCamera): + pfExposureTime = c_double() + err_code = _sdk.CameraGetExposureTime(hCamera, byref(pfExposureTime)) + SetLastError(err_code) + return pfExposureTime.value + +def CameraGetExposureTimeRange(hCamera): + pfMin = c_double() + pfMax = c_double() + pfStep = c_double() + err_code = _sdk.CameraGetExposureTimeRange(hCamera, byref(pfMin), byref(pfMax), byref(pfStep)) + SetLastError(err_code) + return (pfMin.value, pfMax.value, pfStep.value) + +def CameraSetAnalogGain(hCamera, iAnalogGain): + err_code = _sdk.CameraSetAnalogGain(hCamera, iAnalogGain) + SetLastError(err_code) + return err_code + +def CameraGetAnalogGain(hCamera): + piAnalogGain = c_int() + err_code = _sdk.CameraGetAnalogGain(hCamera, byref(piAnalogGain)) + SetLastError(err_code) + return piAnalogGain.value + +def CameraSetGain(hCamera, iRGain, iGGain, iBGain): + err_code = _sdk.CameraSetGain(hCamera, iRGain, iGGain, iBGain) + SetLastError(err_code) + return err_code + +def CameraGetGain(hCamera): + piRGain = c_int() + piGGain = c_int() + piBGain = c_int() + err_code = _sdk.CameraGetGain(hCamera, byref(piRGain), byref(piGGain), byref(piBGain)) + SetLastError(err_code) + return (piRGain.value, piGGain.value, piBGain.value) + +def CameraSetGamma(hCamera, iGamma): + err_code = _sdk.CameraSetGamma(hCamera, iGamma) + SetLastError(err_code) + return err_code + +def CameraGetGamma(hCamera): + piGamma = c_int() + err_code = _sdk.CameraGetGamma(hCamera, byref(piGamma)) + SetLastError(err_code) + return piGamma.value + +def CameraSetContrast(hCamera, iContrast): + err_code = _sdk.CameraSetContrast(hCamera, iContrast) + SetLastError(err_code) + return err_code + +def CameraGetContrast(hCamera): + piContrast = c_int() + err_code = _sdk.CameraGetContrast(hCamera, byref(piContrast)) + SetLastError(err_code) + return piContrast.value + +def CameraSetSaturation(hCamera, iSaturation): + err_code = _sdk.CameraSetSaturation(hCamera, iSaturation) + SetLastError(err_code) + return err_code + +def CameraGetSaturation(hCamera): + piSaturation = c_int() + err_code = _sdk.CameraGetSaturation(hCamera, byref(piSaturation)) + SetLastError(err_code) + return piSaturation.value + +def CameraSetMonochrome(hCamera, bEnable): + err_code = _sdk.CameraSetMonochrome(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetMonochrome(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetMonochrome(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraSetInverse(hCamera, bEnable): + err_code = _sdk.CameraSetInverse(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetInverse(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetInverse(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraSetAntiFlick(hCamera, bEnable): + err_code = _sdk.CameraSetAntiFlick(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetAntiFlick(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetAntiFlick(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraGetLightFrequency(hCamera): + piFrequencySel = c_int() + err_code = _sdk.CameraGetLightFrequency(hCamera, byref(piFrequencySel)) + SetLastError(err_code) + return piFrequencySel.value + +def CameraSetLightFrequency(hCamera, iFrequencySel): + err_code = _sdk.CameraSetLightFrequency(hCamera, iFrequencySel) + SetLastError(err_code) + return err_code + +def CameraSetFrameSpeed(hCamera, iFrameSpeed): + err_code = _sdk.CameraSetFrameSpeed(hCamera, iFrameSpeed) + SetLastError(err_code) + return err_code + +def CameraGetFrameSpeed(hCamera): + piFrameSpeed = c_int() + err_code = _sdk.CameraGetFrameSpeed(hCamera, byref(piFrameSpeed)) + SetLastError(err_code) + return piFrameSpeed.value + +def CameraSetParameterMode(hCamera, iMode): + err_code = _sdk.CameraSetParameterMode(hCamera, iMode) + SetLastError(err_code) + return err_code + +def CameraGetParameterMode(hCamera): + piTarget = c_int() + err_code = _sdk.CameraGetParameterMode(hCamera, byref(piTarget)) + SetLastError(err_code) + return piTarget.value + +def CameraSetParameterMask(hCamera, uMask): + err_code = _sdk.CameraSetParameterMask(hCamera, uMask) + SetLastError(err_code) + return err_code + +def CameraSaveParameter(hCamera, iTeam): + err_code = _sdk.CameraSaveParameter(hCamera, iTeam) + SetLastError(err_code) + return err_code + +def CameraSaveParameterToFile(hCamera, sFileName): + err_code = _sdk.CameraSaveParameterToFile(hCamera, _str_to_string_buffer(sFileName)) + SetLastError(err_code) + return err_code + +def CameraReadParameterFromFile(hCamera, sFileName): + err_code = _sdk.CameraReadParameterFromFile(hCamera, _str_to_string_buffer(sFileName)) + SetLastError(err_code) + return err_code + +def CameraLoadParameter(hCamera, iTeam): + err_code = _sdk.CameraLoadParameter(hCamera, iTeam) + SetLastError(err_code) + return err_code + +def CameraGetCurrentParameterGroup(hCamera): + piTeam = c_int() + err_code = _sdk.CameraGetCurrentParameterGroup(hCamera, byref(piTeam)) + SetLastError(err_code) + return piTeam.value + +def CameraSetTransPackLen(hCamera, iPackSel): + err_code = _sdk.CameraSetTransPackLen(hCamera, iPackSel) + SetLastError(err_code) + return err_code + +def CameraGetTransPackLen(hCamera): + piPackSel = c_int() + err_code = _sdk.CameraGetTransPackLen(hCamera, byref(piPackSel)) + SetLastError(err_code) + return piPackSel.value + +def CameraIsAeWinVisible(hCamera): + pbIsVisible = c_int() + err_code = _sdk.CameraIsAeWinVisible(hCamera, byref(pbIsVisible)) + SetLastError(err_code) + return pbIsVisible.value + +def CameraSetAeWinVisible(hCamera, bIsVisible): + err_code = _sdk.CameraSetAeWinVisible(hCamera, bIsVisible) + SetLastError(err_code) + return err_code + +def CameraGetAeWindow(hCamera): + piHOff = c_int() + piVOff = c_int() + piWidth = c_int() + piHeight = c_int() + err_code = _sdk.CameraGetAeWindow(hCamera, byref(piHOff), byref(piVOff), byref(piWidth), byref(piHeight)) + SetLastError(err_code) + return (piHOff.value, piVOff.value, piWidth.value, piHeight.value) + +def CameraSetAeWindow(hCamera, iHOff, iVOff, iWidth, iHeight): + err_code = _sdk.CameraSetAeWindow(hCamera, iHOff, iVOff, iWidth, iHeight) + SetLastError(err_code) + return err_code + +def CameraSetMirror(hCamera, iDir, bEnable): + err_code = _sdk.CameraSetMirror(hCamera, iDir, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetMirror(hCamera, iDir): + pbEnable = c_int() + err_code = _sdk.CameraGetMirror(hCamera, iDir, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraSetRotate(hCamera, iRot): + err_code = _sdk.CameraSetRotate(hCamera, iRot) + SetLastError(err_code) + return err_code + +def CameraGetRotate(hCamera): + iRot = c_int() + err_code = _sdk.CameraGetRotate(hCamera, byref(iRot)) + SetLastError(err_code) + return iRot.value + +def CameraGetWbWindow(hCamera): + PiHOff = c_int() + PiVOff = c_int() + PiWidth = c_int() + PiHeight = c_int() + err_code = _sdk.CameraGetWbWindow(hCamera, byref(PiHOff), byref(PiVOff), byref(PiWidth), byref(PiHeight)) + SetLastError(err_code) + return (PiHOff.value, PiVOff.value, PiWidth.value, PiHeight.value) + +def CameraSetWbWindow(hCamera, iHOff, iVOff, iWidth, iHeight): + err_code = _sdk.CameraSetWbWindow(hCamera, iHOff, iVOff, iWidth, iHeight) + SetLastError(err_code) + return err_code + +def CameraIsWbWinVisible(hCamera): + pbShow = c_int() + err_code = _sdk.CameraIsWbWinVisible(hCamera, byref(pbShow)) + SetLastError(err_code) + return pbShow.value + +def CameraSetWbWinVisible(hCamera, bShow): + err_code = _sdk.CameraSetWbWinVisible(hCamera, bShow) + SetLastError(err_code) + return err_code + +def CameraImageOverlay(hCamera, pRgbBuffer, pFrInfo): + err_code = _sdk.CameraImageOverlay(hCamera, c_void_p(pRgbBuffer), byref(pFrInfo)) + SetLastError(err_code) + return err_code + +def CameraSetCrossLine(hCamera, iLine, x, y, uColor, bVisible): + err_code = _sdk.CameraSetCrossLine(hCamera, iLine, x, y, uColor, bVisible) + SetLastError(err_code) + return err_code + +def CameraGetCrossLine(hCamera, iLine): + px = c_int() + py = c_int() + pcolor = c_uint() + pbVisible = c_int() + err_code = _sdk.CameraGetCrossLine(hCamera, iLine, byref(px), byref(py), byref(pcolor), byref(pbVisible)) + SetLastError(err_code) + return (px.value, py.value, pcolor.value, pbVisible.value) + +def CameraGetCapability(hCamera): + pCameraInfo = tSdkCameraCapbility() + err_code = _sdk.CameraGetCapability(hCamera, byref(pCameraInfo)) + SetLastError(err_code) + return pCameraInfo + +def CameraWriteSN(hCamera, pbySN, iLevel): + err_code = _sdk.CameraWriteSN(hCamera, _str_to_string_buffer(pbySN), iLevel) + SetLastError(err_code) + return err_code + +def CameraReadSN(hCamera, iLevel): + pbySN = create_string_buffer(64) + err_code = _sdk.CameraReadSN(hCamera, pbySN, iLevel) + SetLastError(err_code) + return _string_buffer_to_str(pbySN) + +def CameraSetTriggerDelayTime(hCamera, uDelayTimeUs): + err_code = _sdk.CameraSetTriggerDelayTime(hCamera, uDelayTimeUs) + SetLastError(err_code) + return err_code + +def CameraGetTriggerDelayTime(hCamera): + puDelayTimeUs = c_uint() + err_code = _sdk.CameraGetTriggerDelayTime(hCamera, byref(puDelayTimeUs)) + SetLastError(err_code) + return puDelayTimeUs.value + +def CameraSetTriggerCount(hCamera, iCount): + err_code = _sdk.CameraSetTriggerCount(hCamera, iCount) + SetLastError(err_code) + return err_code + +def CameraGetTriggerCount(hCamera): + piCount = c_int() + err_code = _sdk.CameraGetTriggerCount(hCamera, byref(piCount)) + SetLastError(err_code) + return piCount.value + +def CameraSoftTrigger(hCamera): + err_code = _sdk.CameraSoftTrigger(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetTriggerMode(hCamera, iModeSel): + err_code = _sdk.CameraSetTriggerMode(hCamera, iModeSel) + SetLastError(err_code) + return err_code + +def CameraGetTriggerMode(hCamera): + piModeSel = c_int() + err_code = _sdk.CameraGetTriggerMode(hCamera, byref(piModeSel)) + SetLastError(err_code) + return piModeSel.value + +def CameraSetStrobeMode(hCamera, iMode): + err_code = _sdk.CameraSetStrobeMode(hCamera, iMode) + SetLastError(err_code) + return err_code + +def CameraGetStrobeMode(hCamera): + piMode = c_int() + err_code = _sdk.CameraGetStrobeMode(hCamera, byref(piMode)) + SetLastError(err_code) + return piMode.value + +def CameraSetStrobeDelayTime(hCamera, uDelayTimeUs): + err_code = _sdk.CameraSetStrobeDelayTime(hCamera, uDelayTimeUs) + SetLastError(err_code) + return err_code + +def CameraGetStrobeDelayTime(hCamera): + upDelayTimeUs = c_uint() + err_code = _sdk.CameraGetStrobeDelayTime(hCamera, byref(upDelayTimeUs)) + SetLastError(err_code) + return upDelayTimeUs.value + +def CameraSetStrobePulseWidth(hCamera, uTimeUs): + err_code = _sdk.CameraSetStrobePulseWidth(hCamera, uTimeUs) + SetLastError(err_code) + return err_code + +def CameraGetStrobePulseWidth(hCamera): + upTimeUs = c_uint() + err_code = _sdk.CameraGetStrobePulseWidth(hCamera, byref(upTimeUs)) + SetLastError(err_code) + return upTimeUs.value + +def CameraSetStrobePolarity(hCamera, uPolarity): + err_code = _sdk.CameraSetStrobePolarity(hCamera, uPolarity) + SetLastError(err_code) + return err_code + +def CameraGetStrobePolarity(hCamera): + upPolarity = c_uint() + err_code = _sdk.CameraGetStrobePolarity(hCamera, byref(upPolarity)) + SetLastError(err_code) + return upPolarity.value + +def CameraSetExtTrigSignalType(hCamera, iType): + err_code = _sdk.CameraSetExtTrigSignalType(hCamera, iType) + SetLastError(err_code) + return err_code + +def CameraGetExtTrigSignalType(hCamera): + ipType = c_int() + err_code = _sdk.CameraGetExtTrigSignalType(hCamera, byref(ipType)) + SetLastError(err_code) + return ipType.value + +def CameraSetExtTrigShutterType(hCamera, iType): + err_code = _sdk.CameraSetExtTrigShutterType(hCamera, iType) + SetLastError(err_code) + return err_code + +def CameraGetExtTrigShutterType(hCamera): + ipType = c_int() + err_code = _sdk.CameraGetExtTrigShutterType(hCamera, byref(ipType)) + SetLastError(err_code) + return ipType.value + +def CameraSetExtTrigDelayTime(hCamera, uDelayTimeUs): + err_code = _sdk.CameraSetExtTrigDelayTime(hCamera, uDelayTimeUs) + SetLastError(err_code) + return err_code + +def CameraGetExtTrigDelayTime(hCamera): + upDelayTimeUs = c_uint() + err_code = _sdk.CameraGetExtTrigDelayTime(hCamera, byref(upDelayTimeUs)) + SetLastError(err_code) + return upDelayTimeUs.value + +def CameraSetExtTrigJitterTime(hCamera, uTimeUs): + err_code = _sdk.CameraSetExtTrigJitterTime(hCamera, uTimeUs) + SetLastError(err_code) + return err_code + +def CameraGetExtTrigJitterTime(hCamera): + upTimeUs = c_uint() + err_code = _sdk.CameraGetExtTrigJitterTime(hCamera, byref(upTimeUs)) + SetLastError(err_code) + return upTimeUs.value + +def CameraGetExtTrigCapability(hCamera): + puCapabilityMask = c_uint() + err_code = _sdk.CameraGetExtTrigCapability(hCamera, byref(puCapabilityMask)) + SetLastError(err_code) + return puCapabilityMask.value + +def CameraPauseLevelTrigger(hCamera): + err_code = _sdk.CameraPauseLevelTrigger(hCamera) + SetLastError(err_code) + return err_code + +def CameraGetResolutionForSnap(hCamera): + pImageResolution = tSdkImageResolution() + err_code = _sdk.CameraGetResolutionForSnap(hCamera, byref(pImageResolution)) + SetLastError(err_code) + return pImageResolution + +def CameraSetResolutionForSnap(hCamera, pImageResolution): + err_code = _sdk.CameraSetResolutionForSnap(hCamera, byref(pImageResolution)) + SetLastError(err_code) + return err_code + +def CameraCustomizeResolution(hCamera): + pImageCustom = tSdkImageResolution() + err_code = _sdk.CameraCustomizeResolution(hCamera, byref(pImageCustom)) + SetLastError(err_code) + return pImageCustom + +def CameraCustomizeReferWin(hCamera, iWinType, hParent): + piHOff = c_int() + piVOff = c_int() + piWidth = c_int() + piHeight = c_int() + err_code = _sdk.CameraCustomizeReferWin(hCamera, iWinType, hParent, byref(piHOff), byref(piVOff), byref(piWidth), byref(piHeight)) + SetLastError(err_code) + return (piHOff.value, piVOff.value, piWidth.value, piHeight.value) + +def CameraShowSettingPage(hCamera, bShow): + err_code = _sdk.CameraShowSettingPage(hCamera, bShow) + SetLastError(err_code) + return err_code + +def CameraCreateSettingPage(hCamera, hParent, pWinText, pCallbackFunc = None, pCallbackCtx = 0, uReserved = 0): + err_code = _sdk.CameraCreateSettingPage(hCamera, hParent, _str_to_string_buffer(pWinText), pCallbackFunc, c_void_p(pCallbackCtx), uReserved) + SetLastError(err_code) + return err_code + +def CameraCreateSettingPageEx(hCamera): + err_code = _sdk.CameraCreateSettingPageEx(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetActiveSettingSubPage(hCamera, index): + err_code = _sdk.CameraSetActiveSettingSubPage(hCamera, index) + SetLastError(err_code) + return err_code + +def CameraSetSettingPageParent(hCamera, hParentWnd, Flags): + err_code = _sdk.CameraSetSettingPageParent(hCamera, hParentWnd, Flags) + SetLastError(err_code) + return err_code + +def CameraGetSettingPageHWnd(hCamera): + hWnd = c_void_p() + err_code = _sdk.CameraGetSettingPageHWnd(hCamera, byref(hWnd)) + SetLastError(err_code) + return hWnd.value + +def CameraSpecialControl(hCamera, dwCtrlCode, dwParam, lpData): + err_code = _sdk.CameraSpecialControl(hCamera, dwCtrlCode, dwParam, c_void_p(lpData) ) + SetLastError(err_code) + return err_code + +def CameraGetFrameStatistic(hCamera): + psFrameStatistic = tSdkFrameStatistic() + err_code = _sdk.CameraGetFrameStatistic(hCamera, byref(psFrameStatistic)) + SetLastError(err_code) + return psFrameStatistic + +def CameraSetNoiseFilter(hCamera, bEnable): + err_code = _sdk.CameraSetNoiseFilter(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetNoiseFilterState(hCamera): + pEnable = c_int() + err_code = _sdk.CameraGetNoiseFilterState(hCamera, byref(pEnable)) + SetLastError(err_code) + return pEnable.value + +def CameraRstTimeStamp(hCamera): + err_code = _sdk.CameraRstTimeStamp(hCamera) + SetLastError(err_code) + return err_code + +def CameraSaveUserData(hCamera, uStartAddr, pbData): + err_code = _sdk.CameraSaveUserData(hCamera, uStartAddr, pbData, len(pbData)) + SetLastError(err_code) + return err_code + +def CameraLoadUserData(hCamera, uStartAddr, ilen): + pbData = create_string_buffer(ilen) + err_code = _sdk.CameraLoadUserData(hCamera, uStartAddr, pbData, ilen) + SetLastError(err_code) + return pbData[:] + +def CameraGetFriendlyName(hCamera): + pName = create_string_buffer(64) + err_code = _sdk.CameraGetFriendlyName(hCamera, pName) + SetLastError(err_code) + return _string_buffer_to_str(pName) + +def CameraSetFriendlyName(hCamera, pName): + pNameBuf = _str_to_string_buffer(pName) + resize(pNameBuf, 64) + err_code = _sdk.CameraSetFriendlyName(hCamera, pNameBuf) + SetLastError(err_code) + return err_code + +def CameraSdkGetVersionString(): + pVersionString = create_string_buffer(64) + err_code = _sdk.CameraSdkGetVersionString(pVersionString) + SetLastError(err_code) + return _string_buffer_to_str(pVersionString) + +def CameraCheckFwUpdate(hCamera): + pNeedUpdate = c_int() + err_code = _sdk.CameraCheckFwUpdate(hCamera, byref(pNeedUpdate)) + SetLastError(err_code) + return pNeedUpdate.value + +def CameraGetFirmwareVersion(hCamera): + pVersion = create_string_buffer(64) + err_code = _sdk.CameraGetFirmwareVersion(hCamera, pVersion) + SetLastError(err_code) + return _string_buffer_to_str(pVersion) + +def CameraGetEnumInfo(hCamera): + pCameraInfo = tSdkCameraDevInfo() + err_code = _sdk.CameraGetEnumInfo(hCamera, byref(pCameraInfo)) + SetLastError(err_code) + return pCameraInfo + +def CameraGetInerfaceVersion(hCamera): + pVersion = create_string_buffer(64) + err_code = _sdk.CameraGetInerfaceVersion(hCamera, pVersion) + SetLastError(err_code) + return _string_buffer_to_str(pVersion) + +def CameraSetIOState(hCamera, iOutputIOIndex, uState): + err_code = _sdk.CameraSetIOState(hCamera, iOutputIOIndex, uState) + SetLastError(err_code) + return err_code + +def CameraGetIOState(hCamera, iInputIOIndex): + puState = c_int() + err_code = _sdk.CameraGetIOState(hCamera, iInputIOIndex, byref(puState)) + SetLastError(err_code) + return puState.value + +def CameraSetInPutIOMode(hCamera, iInputIOIndex, iMode): + err_code = _sdk.CameraSetInPutIOMode(hCamera, iInputIOIndex, iMode) + SetLastError(err_code) + return err_code + +def CameraSetOutPutIOMode(hCamera, iOutputIOIndex, iMode): + err_code = _sdk.CameraSetOutPutIOMode(hCamera, iOutputIOIndex, iMode) + SetLastError(err_code) + return err_code + +def CameraSetOutPutPWM(hCamera, iOutputIOIndex, iCycle, uDuty): + err_code = _sdk.CameraSetOutPutPWM(hCamera, iOutputIOIndex, iCycle, uDuty) + SetLastError(err_code) + return err_code + +def CameraSetAeAlgorithm(hCamera, iIspProcessor, iAeAlgorithmSel): + err_code = _sdk.CameraSetAeAlgorithm(hCamera, iIspProcessor, iAeAlgorithmSel) + SetLastError(err_code) + return err_code + +def CameraGetAeAlgorithm(hCamera, iIspProcessor): + piAlgorithmSel = c_int() + err_code = _sdk.CameraGetAeAlgorithm(hCamera, iIspProcessor, byref(piAlgorithmSel)) + SetLastError(err_code) + return piAlgorithmSel.value + +def CameraSetBayerDecAlgorithm(hCamera, iIspProcessor, iAlgorithmSel): + err_code = _sdk.CameraSetBayerDecAlgorithm(hCamera, iIspProcessor, iAlgorithmSel) + SetLastError(err_code) + return err_code + +def CameraGetBayerDecAlgorithm(hCamera, iIspProcessor): + piAlgorithmSel = c_int() + err_code = _sdk.CameraGetBayerDecAlgorithm(hCamera, iIspProcessor, byref(piAlgorithmSel)) + SetLastError(err_code) + return piAlgorithmSel.value + +def CameraSetIspProcessor(hCamera, iIspProcessor): + err_code = _sdk.CameraSetIspProcessor(hCamera, iIspProcessor) + SetLastError(err_code) + return err_code + +def CameraGetIspProcessor(hCamera): + piIspProcessor = c_int() + err_code = _sdk.CameraGetIspProcessor(hCamera, byref(piIspProcessor)) + SetLastError(err_code) + return piIspProcessor.value + +def CameraSetBlackLevel(hCamera, iBlackLevel): + err_code = _sdk.CameraSetBlackLevel(hCamera, iBlackLevel) + SetLastError(err_code) + return err_code + +def CameraGetBlackLevel(hCamera): + piBlackLevel = c_int() + err_code = _sdk.CameraGetBlackLevel(hCamera, byref(piBlackLevel)) + SetLastError(err_code) + return piBlackLevel.value + +def CameraSetWhiteLevel(hCamera, iWhiteLevel): + err_code = _sdk.CameraSetWhiteLevel(hCamera, iWhiteLevel) + SetLastError(err_code) + return err_code + +def CameraGetWhiteLevel(hCamera): + piWhiteLevel = c_int() + err_code = _sdk.CameraGetWhiteLevel(hCamera, byref(piWhiteLevel)) + SetLastError(err_code) + return piWhiteLevel.value + +def CameraSetIspOutFormat(hCamera, uFormat): + err_code = _sdk.CameraSetIspOutFormat(hCamera, uFormat) + SetLastError(err_code) + return err_code + +def CameraGetIspOutFormat(hCamera): + puFormat = c_int() + err_code = _sdk.CameraGetIspOutFormat(hCamera, byref(puFormat)) + SetLastError(err_code) + return puFormat.value + +def CameraGetErrorString(iStatusCode): + _sdk.CameraGetErrorString.restype = c_char_p + msg = _sdk.CameraGetErrorString(iStatusCode) + if msg: + return _string_buffer_to_str(msg) + else: + return '' + +def CameraGetImageBufferEx2(hCamera, pImageData, uOutFormat, wTimes): + piWidth = c_int() + piHeight = c_int() + err_code = _sdk.CameraGetImageBufferEx2(hCamera, c_void_p(pImageData), uOutFormat, byref(piWidth), byref(piHeight), wTimes) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (piWidth.value, piHeight.value) + +def CameraGetImageBufferEx3(hCamera, pImageData, uOutFormat, wTimes): + piWidth = c_int() + piHeight = c_int() + puTimeStamp = c_int() + err_code = _sdk.CameraGetImageBufferEx3(hCamera, c_void_p(pImageData), uOutFormat, byref(piWidth), byref(piHeight), byref(puTimeStamp), wTimes) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (piWidth.value, piHeight.value, puTimeStamp.value) + +def CameraGetCapabilityEx2(hCamera): + pMaxWidth = c_int() + pMaxHeight = c_int() + pbColorCamera = c_int() + err_code = _sdk.CameraGetCapabilityEx2(hCamera, byref(pMaxWidth), byref(pMaxHeight), byref(pbColorCamera)) + SetLastError(err_code) + return (pMaxWidth.value, pMaxHeight.value, pbColorCamera.value) + +def CameraReConnect(hCamera): + err_code = _sdk.CameraReConnect(hCamera) + SetLastError(err_code) + return err_code + +def CameraConnectTest(hCamera): + err_code = _sdk.CameraConnectTest(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetLedEnable(hCamera, index, enable): + err_code = _sdk.CameraSetLedEnable(hCamera, index, enable) + SetLastError(err_code) + return err_code + +def CameraGetLedEnable(hCamera, index): + enable = c_int() + err_code = _sdk.CameraGetLedEnable(hCamera, index, byref(enable)) + SetLastError(err_code) + return enable.value + +def CameraSetLedOnOff(hCamera, index, onoff): + err_code = _sdk.CameraSetLedOnOff(hCamera, index, onoff) + SetLastError(err_code) + return err_code + +def CameraGetLedOnOff(hCamera, index): + onoff = c_int() + err_code = _sdk.CameraGetLedOnOff(hCamera, index, byref(onoff)) + SetLastError(err_code) + return onoff.value + +def CameraSetLedDuration(hCamera, index, duration): + err_code = _sdk.CameraSetLedDuration(hCamera, index, duration) + SetLastError(err_code) + return err_code + +def CameraGetLedDuration(hCamera, index): + duration = c_uint() + err_code = _sdk.CameraGetLedDuration(hCamera, index, byref(duration)) + SetLastError(err_code) + return duration.value + +def CameraSetLedBrightness(hCamera, index, uBrightness): + err_code = _sdk.CameraSetLedBrightness(hCamera, index, uBrightness) + SetLastError(err_code) + return err_code + +def CameraGetLedBrightness(hCamera, index): + uBrightness = c_uint() + err_code = _sdk.CameraGetLedBrightness(hCamera, index, byref(uBrightness)) + SetLastError(err_code) + return uBrightness.value + +def CameraEnableTransferRoi(hCamera, uEnableMask): + err_code = _sdk.CameraEnableTransferRoi(hCamera, uEnableMask) + SetLastError(err_code) + return err_code + +def CameraSetTransferRoi(hCamera, index, X1, Y1, X2, Y2): + err_code = _sdk.CameraSetTransferRoi(hCamera, index, X1, Y1, X2, Y2) + SetLastError(err_code) + return err_code + +def CameraGetTransferRoi(hCamera, index): + pX1 = c_uint() + pY1 = c_uint() + pX2 = c_uint() + pY2 = c_uint() + err_code = _sdk.CameraGetTransferRoi(hCamera, index, byref(pX1), byref(pY1), byref(pX2), byref(pY2)) + SetLastError(err_code) + return (pX1.value, pY1.value, pX2.value, pY2.value) + +def CameraAlignMalloc(size, align = 16): + _sdk.CameraAlignMalloc.restype = c_void_p + r = _sdk.CameraAlignMalloc(size, align) + return r + +def CameraAlignFree(membuffer): + _sdk.CameraAlignFree(c_void_p(membuffer)) + +def CameraSetAutoConnect(hCamera, bEnable): + err_code = _sdk.CameraSetAutoConnect(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetAutoConnect(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetAutoConnect(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraGetReConnectCounts(hCamera): + puCounts = c_int() + err_code = _sdk.CameraGetReConnectCounts(hCamera, byref(puCounts)) + SetLastError(err_code) + return puCounts.value + +def CameraSetSingleGrabMode(hCamera, bEnable): + err_code = _sdk.CameraSetSingleGrabMode(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetSingleGrabMode(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetSingleGrabMode(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraRestartGrab(hCamera): + err_code = _sdk.CameraRestartGrab(hCamera) + SetLastError(err_code) + return err_code + +def CameraEvaluateImageDefinition(hCamera, iAlgorithSel, pbyIn, pFrInfo): + DefinitionValue = c_double() + err_code = _sdk.CameraEvaluateImageDefinition(hCamera, iAlgorithSel, c_void_p(pbyIn), byref(pFrInfo), byref(DefinitionValue)) + SetLastError(err_code) + return DefinitionValue.value + +def CameraDrawText(pRgbBuffer, pFrInfo, pFontFileName, FontWidth, FontHeight, pText, Left, Top, Width, Height, TextColor, uFlags): + err_code = _sdk.CameraDrawText(c_void_p(pRgbBuffer), byref(pFrInfo), _str_to_string_buffer(pFontFileName), FontWidth, FontHeight, _str_to_string_buffer(pText), Left, Top, Width, Height, TextColor, uFlags) + SetLastError(err_code) + return err_code + +def CameraGigeGetIp(pCameraInfo): + CamIp = create_string_buffer(32) + CamMask = create_string_buffer(32) + CamGateWay = create_string_buffer(32) + EtIp = create_string_buffer(32) + EtMask = create_string_buffer(32) + EtGateWay = create_string_buffer(32) + err_code = _sdk.CameraGigeGetIp(byref(pCameraInfo), CamIp, CamMask, CamGateWay, EtIp, EtMask, EtGateWay) + SetLastError(err_code) + return (_string_buffer_to_str(CamIp), _string_buffer_to_str(CamMask), _string_buffer_to_str(CamGateWay), + _string_buffer_to_str(EtIp), _string_buffer_to_str(EtMask), _string_buffer_to_str(EtGateWay) ) + +def CameraGigeSetIp(pCameraInfo, Ip, SubMask, GateWay, bPersistent): + err_code = _sdk.CameraGigeSetIp(byref(pCameraInfo), + _str_to_string_buffer(Ip), _str_to_string_buffer(SubMask), _str_to_string_buffer(GateWay), bPersistent) + SetLastError(err_code) + return err_code + +def CameraGigeGetMac(pCameraInfo): + CamMac = create_string_buffer(32) + EtMac = create_string_buffer(32) + err_code = _sdk.CameraGigeGetMac(byref(pCameraInfo), CamMac, EtMac) + SetLastError(err_code) + return (_string_buffer_to_str(CamMac), _string_buffer_to_str(EtMac) ) + +def CameraEnableFastResponse(hCamera): + err_code = _sdk.CameraEnableFastResponse(hCamera) + SetLastError(err_code) + return err_code + +def CameraSetCorrectDeadPixel(hCamera, bEnable): + err_code = _sdk.CameraSetCorrectDeadPixel(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraGetCorrectDeadPixel(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraGetCorrectDeadPixel(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraFlatFieldingCorrectSetEnable(hCamera, bEnable): + err_code = _sdk.CameraFlatFieldingCorrectSetEnable(hCamera, bEnable) + SetLastError(err_code) + return err_code + +def CameraFlatFieldingCorrectGetEnable(hCamera): + pbEnable = c_int() + err_code = _sdk.CameraFlatFieldingCorrectGetEnable(hCamera, byref(pbEnable)) + SetLastError(err_code) + return pbEnable.value + +def CameraFlatFieldingCorrectSetParameter(hCamera, pDarkFieldingImage, pDarkFieldingFrInfo, pLightFieldingImage, pLightFieldingFrInfo): + err_code = _sdk.CameraFlatFieldingCorrectSetParameter(hCamera, c_void_p(pDarkFieldingImage), byref(pDarkFieldingFrInfo), c_void_p(pLightFieldingImage), byref(pLightFieldingFrInfo)) + SetLastError(err_code) + return err_code + +def CameraFlatFieldingCorrectGetParameterState(hCamera): + pbValid = c_int() + pFilePath = create_string_buffer(1024) + err_code = _sdk.CameraFlatFieldingCorrectGetParameterState(hCamera, byref(pbValid), pFilePath) + SetLastError(err_code) + return (pbValid.value, _string_buffer_to_str(pFilePath) ) + +def CameraFlatFieldingCorrectSaveParameterToFile(hCamera, pszFileName): + err_code = _sdk.CameraFlatFieldingCorrectSaveParameterToFile(hCamera, _str_to_string_buffer(pszFileName)) + SetLastError(err_code) + return err_code + +def CameraFlatFieldingCorrectLoadParameterFromFile(hCamera, pszFileName): + err_code = _sdk.CameraFlatFieldingCorrectLoadParameterFromFile(hCamera, _str_to_string_buffer(pszFileName)) + SetLastError(err_code) + return err_code + +def CameraCommonCall(hCamera, pszCall, uResultBufSize): + pszResult = create_string_buffer(uResultBufSize) if uResultBufSize > 0 else None + err_code = _sdk.CameraCommonCall(hCamera, _str_to_string_buffer(pszCall), pszResult, uResultBufSize) + SetLastError(err_code) + return _string_buffer_to_str(pszResult) if pszResult else '' + +def CameraSetDenoise3DParams(hCamera, bEnable, nCount, Weights): + assert(nCount >= 2 and nCount <= 8) + if Weights: + assert(len(Weights) == nCount) + WeightsNative = (c_float * nCount)(*Weights) + else: + WeightsNative = None + err_code = _sdk.CameraSetDenoise3DParams(hCamera, bEnable, nCount, WeightsNative) + SetLastError(err_code) + return err_code + +def CameraGetDenoise3DParams(hCamera): + bEnable = c_int() + nCount = c_int() + bUseWeight = c_int() + Weights = (c_float * 8)() + err_code = _sdk.CameraGetDenoise3DParams(hCamera, byref(bEnable), byref(nCount), byref(bUseWeight), Weights) + SetLastError(err_code) + bEnable, nCount, bUseWeight = bEnable.value, nCount.value, bUseWeight.value + if bUseWeight: + Weights = Weights[:nCount] + else: + Weights = None + return (bEnable, nCount, bUseWeight, Weights) + +def CameraManualDenoise3D(InFramesHead, InFramesData, nCount, Weights, OutFrameHead, OutFrameData): + assert(nCount > 0) + assert(len(InFramesData) == nCount) + assert(Weights is None or len(Weights) == nCount) + InFramesDataNative = (c_void_p * nCount)(*InFramesData) + WeightsNative = (c_float * nCount)(*Weights) if Weights else None + err_code = _sdk.CameraManualDenoise3D(byref(InFramesHead), InFramesDataNative, nCount, WeightsNative, byref(OutFrameHead), c_void_p(OutFrameData)) + SetLastError(err_code) + return err_code + +def CameraCustomizeDeadPixels(hCamera, hParent): + err_code = _sdk.CameraCustomizeDeadPixels(hCamera, hParent) + SetLastError(err_code) + return err_code + +def CameraReadDeadPixels(hCamera): + pNumPixel = c_int() + err_code = _sdk.CameraReadDeadPixels(hCamera, None, None, byref(pNumPixel)) + SetLastError(err_code) + if pNumPixel.value < 1: + return None + UShortArray = c_ushort * pNumPixel.value + pRows = UShortArray() + pCols = UShortArray() + err_code = _sdk.CameraReadDeadPixels(hCamera, pRows, pCols, byref(pNumPixel)) + SetLastError(err_code) + if err_code == 0: + pNumPixel = pNumPixel.value + else: + pNumPixel = 0 + return (pRows[:pNumPixel], pCols[:pNumPixel]) + +def CameraAddDeadPixels(hCamera, pRows, pCols, NumPixel): + UShortArray = c_ushort * NumPixel + pRowsNative = UShortArray(*pRows) + pColsNative = UShortArray(*pCols) + err_code = _sdk.CameraAddDeadPixels(hCamera, pRowsNative, pColsNative, NumPixel) + SetLastError(err_code) + return err_code + +def CameraRemoveDeadPixels(hCamera, pRows, pCols, NumPixel): + UShortArray = c_ushort * NumPixel + pRowsNative = UShortArray(*pRows) + pColsNative = UShortArray(*pCols) + err_code = _sdk.CameraRemoveDeadPixels(hCamera, pRowsNative, pColsNative, NumPixel) + SetLastError(err_code) + return err_code + +def CameraRemoveAllDeadPixels(hCamera): + err_code = _sdk.CameraRemoveAllDeadPixels(hCamera) + SetLastError(err_code) + return err_code + +def CameraSaveDeadPixels(hCamera): + err_code = _sdk.CameraSaveDeadPixels(hCamera) + SetLastError(err_code) + return err_code + +def CameraSaveDeadPixelsToFile(hCamera, sFileName): + err_code = _sdk.CameraSaveDeadPixelsToFile(hCamera, _str_to_string_buffer(sFileName)) + SetLastError(err_code) + return err_code + +def CameraLoadDeadPixelsFromFile(hCamera, sFileName): + err_code = _sdk.CameraLoadDeadPixelsFromFile(hCamera, _str_to_string_buffer(sFileName)) + SetLastError(err_code) + return err_code + +def CameraGetImageBufferPriority(hCamera, wTimes, Priority): + pFrameInfo = tSdkFrameHead() + pbyBuffer = c_void_p() + err_code = _sdk.CameraGetImageBufferPriority(hCamera, byref(pFrameInfo), byref(pbyBuffer), wTimes, Priority) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (pbyBuffer.value, pFrameInfo) + +def CameraGetImageBufferPriorityEx(hCamera, wTimes, Priority): + _sdk.CameraGetImageBufferPriorityEx.restype = c_void_p + piWidth = c_int() + piHeight = c_int() + pFrameBuffer = _sdk.CameraGetImageBufferPriorityEx(hCamera, byref(piWidth), byref(piHeight), wTimes, Priority) + err_code = CAMERA_STATUS_SUCCESS if pFrameBuffer else CAMERA_STATUS_TIME_OUT + SetLastError(err_code) + if pFrameBuffer: + return (pFrameBuffer, piWidth.value, piHeight.value) + else: + raise CameraException(err_code) + +def CameraGetImageBufferPriorityEx2(hCamera, pImageData, uOutFormat, wTimes, Priority): + piWidth = c_int() + piHeight = c_int() + err_code = _sdk.CameraGetImageBufferPriorityEx2(hCamera, c_void_p(pImageData), uOutFormat, byref(piWidth), byref(piHeight), wTimes, Priority) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (piWidth.value, piHeight.value) + +def CameraGetImageBufferPriorityEx3(hCamera, pImageData, uOutFormat, wTimes, Priority): + piWidth = c_int() + piHeight = c_int() + puTimeStamp = c_uint() + err_code = _sdk.CameraGetImageBufferPriorityEx3(hCamera, c_void_p(pImageData), uOutFormat, byref(piWidth), byref(piHeight), byref(puTimeStamp), wTimes, Priority) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return (piWidth.value, piHeight.value, puTimeStamp.value) + +def CameraClearBuffer(hCamera): + err_code = _sdk.CameraClearBuffer(hCamera) + SetLastError(err_code) + return err_code + +def CameraSoftTriggerEx(hCamera, uFlags): + err_code = _sdk.CameraSoftTriggerEx(hCamera, uFlags) + SetLastError(err_code) + return err_code + +def CameraSetHDR(hCamera, value): + err_code = _sdk.CameraSetHDR(hCamera, value) + SetLastError(err_code) + return err_code + +def CameraGetHDR(hCamera): + value = c_int() + err_code = _sdk.CameraGetHDR(hCamera, byref(value)) + SetLastError(err_code) + return value.value + +def CameraGetFrameID(hCamera): + FrameID = c_uint() + err_code = _sdk.CameraGetFrameID(hCamera, byref(FrameID)) + SetLastError(err_code) + return FrameID.value + +def CameraGetFrameTimeStamp(hCamera): + TimeStamp = c_uint64() + TimeStampL = c_uint32.from_buffer(TimeStamp) + TimeStampH = c_uint32.from_buffer(TimeStamp, 4) + err_code = _sdk.CameraGetFrameTimeStamp(hCamera, byref(TimeStampL), byref(TimeStampH)) + SetLastError(err_code) + return TimeStamp.value + +def CameraSetHDRGainMode(hCamera, value): + err_code = _sdk.CameraSetHDRGainMode(hCamera, value) + SetLastError(err_code) + return err_code + +def CameraGetHDRGainMode(hCamera): + value = c_int() + err_code = _sdk.CameraGetHDRGainMode(hCamera, byref(value)) + SetLastError(err_code) + return value.value + +def CameraCreateDIBitmap(hDC, pFrameBuffer, pFrameHead): + outBitmap = c_void_p() + err_code = _sdk.CameraCreateDIBitmap(hDC, c_void_p(pFrameBuffer), byref(pFrameHead), byref(outBitmap)) + SetLastError(err_code) + return outBitmap.value + +def CameraDrawFrameBuffer(pFrameBuffer, pFrameHead, hWnd, Algorithm, Mode): + err_code = _sdk.CameraDrawFrameBuffer(c_void_p(pFrameBuffer), byref(pFrameHead), c_void_p(hWnd), Algorithm, Mode) + SetLastError(err_code) + return err_code + +def CameraFlipFrameBuffer(pFrameBuffer, pFrameHead, Flags): + err_code = _sdk.CameraFlipFrameBuffer(c_void_p(pFrameBuffer), byref(pFrameHead), Flags) + SetLastError(err_code) + return err_code + +def CameraConvertFrameBufferFormat(hCamera, pInFrameBuffer, pOutFrameBuffer, outWidth, outHeight, outMediaType, pFrameHead): + err_code = _sdk.CameraConvertFrameBufferFormat(hCamera, c_void_p(pInFrameBuffer), c_void_p(pOutFrameBuffer), outWidth, outHeight, outMediaType, byref(pFrameHead)) + SetLastError(err_code) + return err_code + +def CameraSetConnectionStatusCallback(hCamera, pCallBack, pContext = 0): + err_code = _sdk.CameraSetConnectionStatusCallback(hCamera, pCallBack, c_void_p(pContext) ) + SetLastError(err_code) + return err_code + +def CameraSetLightingControllerMode(hCamera, index, mode): + err_code = _sdk.CameraSetLightingControllerMode(hCamera, index, mode) + SetLastError(err_code) + return err_code + +def CameraSetLightingControllerState(hCamera, index, state): + err_code = _sdk.CameraSetLightingControllerState(hCamera, index, state) + SetLastError(err_code) + return err_code + +def CameraGetEyeCount(hCamera): + EyeCount = c_int() + err_code = _sdk.CameraGetEyeCount(hCamera, byref(EyeCount)) + SetLastError(err_code) + return EyeCount.value + +def CameraMultiEyeImageProcess(hCamera, iEyeIndex, pbyIn, pInFrInfo, pbyOut, pOutFrInfo, uOutFormat, uReserved): + err_code = _sdk.CameraMultiEyeImageProcess(hCamera, iEyeIndex, c_void_p(pbyIn), byref(pInFrInfo), c_void_p(pbyOut), byref(pOutFrInfo), uOutFormat, uReserved) + SetLastError(err_code) + return err_code + +# CameraGrabber + +def CameraGrabber_CreateFromDevicePage(): + Grabber = c_void_p() + err_code = _sdk.CameraGrabber_CreateFromDevicePage(byref(Grabber)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return Grabber.value + +def CameraGrabber_CreateByIndex(Index): + Grabber = c_void_p() + err_code = _sdk.CameraGrabber_CreateByIndex(byref(Grabber), Index) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return Grabber.value + +def CameraGrabber_CreateByName(Name): + Grabber = c_void_p() + err_code = _sdk.CameraGrabber_CreateByName(byref(Grabber), _str_to_string_buffer(Name)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return Grabber.value + +def CameraGrabber_Create(pDevInfo): + Grabber = c_void_p() + err_code = _sdk.CameraGrabber_Create(byref(Grabber), byref(pDevInfo)) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return Grabber.value + +def CameraGrabber_Destroy(Grabber): + err_code = _sdk.CameraGrabber_Destroy(c_void_p(Grabber)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetHWnd(Grabber, hWnd): + err_code = _sdk.CameraGrabber_SetHWnd(c_void_p(Grabber), c_void_p(hWnd) ) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetPriority(Grabber, Priority): + err_code = _sdk.CameraGrabber_SetPriority(c_void_p(Grabber), Priority) + SetLastError(err_code) + return err_code + +def CameraGrabber_StartLive(Grabber): + err_code = _sdk.CameraGrabber_StartLive(c_void_p(Grabber)) + SetLastError(err_code) + return err_code + +def CameraGrabber_StopLive(Grabber): + err_code = _sdk.CameraGrabber_StopLive(c_void_p(Grabber)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SaveImage(Grabber, TimeOut): + Image = c_void_p() + err_code = _sdk.CameraGrabber_SaveImage(c_void_p(Grabber), byref(Image), TimeOut) + SetLastError(err_code) + if err_code != 0: + raise CameraException(err_code) + return Image.value + +def CameraGrabber_SaveImageAsync(Grabber): + err_code = _sdk.CameraGrabber_SaveImageAsync(c_void_p(Grabber)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SaveImageAsyncEx(Grabber, UserData): + err_code = _sdk.CameraGrabber_SaveImageAsyncEx(c_void_p(Grabber), c_void_p(UserData)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetSaveImageCompleteCallback(Grabber, Callback, Context = 0): + err_code = _sdk.CameraGrabber_SetSaveImageCompleteCallback(c_void_p(Grabber), Callback, c_void_p(Context)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetFrameListener(Grabber, Listener, Context = 0): + err_code = _sdk.CameraGrabber_SetFrameListener(c_void_p(Grabber), Listener, c_void_p(Context)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetRawCallback(Grabber, Callback, Context = 0): + err_code = _sdk.CameraGrabber_SetRawCallback(c_void_p(Grabber), Callback, c_void_p(Context)) + SetLastError(err_code) + return err_code + +def CameraGrabber_SetRGBCallback(Grabber, Callback, Context = 0): + err_code = _sdk.CameraGrabber_SetRGBCallback(c_void_p(Grabber), Callback, c_void_p(Context)) + SetLastError(err_code) + return err_code + +def CameraGrabber_GetCameraHandle(Grabber): + hCamera = c_int() + err_code = _sdk.CameraGrabber_GetCameraHandle(c_void_p(Grabber), byref(hCamera)) + SetLastError(err_code) + return hCamera.value + +def CameraGrabber_GetStat(Grabber): + stat = tSdkGrabberStat() + err_code = _sdk.CameraGrabber_GetStat(c_void_p(Grabber), byref(stat)) + SetLastError(err_code) + return stat + +def CameraGrabber_GetCameraDevInfo(Grabber): + DevInfo = tSdkCameraDevInfo() + err_code = _sdk.CameraGrabber_GetCameraDevInfo(c_void_p(Grabber), byref(DevInfo)) + SetLastError(err_code) + return DevInfo + +# CameraImage + +def CameraImage_Create(pFrameBuffer, pFrameHead, bCopy): + Image = c_void_p() + err_code = _sdk.CameraImage_Create(byref(Image), c_void_p(pFrameBuffer), byref(pFrameHead), bCopy) + SetLastError(err_code) + return Image.value + +def CameraImage_CreateEmpty(): + Image = c_void_p() + err_code = _sdk.CameraImage_CreateEmpty(byref(Image)) + SetLastError(err_code) + return Image.value + +def CameraImage_Destroy(Image): + err_code = _sdk.CameraImage_Destroy(c_void_p(Image)) + SetLastError(err_code) + return err_code + +def CameraImage_GetData(Image): + DataBuffer = c_void_p() + HeadPtr = c_void_p() + err_code = _sdk.CameraImage_GetData(c_void_p(Image), byref(DataBuffer), byref(HeadPtr)) + SetLastError(err_code) + if err_code == 0: + return (DataBuffer.value, tSdkFrameHead.from_address(HeadPtr.value) ) + else: + return (0, None) + +def CameraImage_GetUserData(Image): + UserData = c_void_p() + err_code = _sdk.CameraImage_GetUserData(c_void_p(Image), byref(UserData)) + SetLastError(err_code) + return UserData.value + +def CameraImage_SetUserData(Image, UserData): + err_code = _sdk.CameraImage_SetUserData(c_void_p(Image), c_void_p(UserData)) + SetLastError(err_code) + return err_code + +def CameraImage_IsEmpty(Image): + IsEmpty = c_int() + err_code = _sdk.CameraImage_IsEmpty(c_void_p(Image), byref(IsEmpty)) + SetLastError(err_code) + return IsEmpty.value + +def CameraImage_Draw(Image, hWnd, Algorithm): + err_code = _sdk.CameraImage_Draw(c_void_p(Image), c_void_p(hWnd), Algorithm) + SetLastError(err_code) + return err_code + +def CameraImage_DrawFit(Image, hWnd, Algorithm): + err_code = _sdk.CameraImage_DrawFit(c_void_p(Image), c_void_p(hWnd), Algorithm) + SetLastError(err_code) + return err_code + +def CameraImage_DrawToDC(Image, hDC, Algorithm, xDst, yDst, cxDst, cyDst): + err_code = _sdk.CameraImage_DrawToDC(c_void_p(Image), c_void_p(hDC), Algorithm, xDst, yDst, cxDst, cyDst) + SetLastError(err_code) + return err_code + +def CameraImage_DrawToDCFit(Image, hDC, Algorithm, xDst, yDst, cxDst, cyDst): + err_code = _sdk.CameraImage_DrawToDCFit(c_void_p(Image), c_void_p(hDC), Algorithm, xDst, yDst, cxDst, cyDst) + SetLastError(err_code) + return err_code + +def CameraImage_BitBlt(Image, hWnd, xDst, yDst, cxDst, cyDst, xSrc, ySrc): + err_code = _sdk.CameraImage_BitBlt(c_void_p(Image), c_void_p(hWnd), xDst, yDst, cxDst, cyDst, xSrc, ySrc) + SetLastError(err_code) + return err_code + +def CameraImage_BitBltToDC(Image, hDC, xDst, yDst, cxDst, cyDst, xSrc, ySrc): + err_code = _sdk.CameraImage_BitBltToDC(c_void_p(Image), c_void_p(hDC), xDst, yDst, cxDst, cyDst, xSrc, ySrc) + SetLastError(err_code) + return err_code + +def CameraImage_SaveAsBmp(Image, FileName): + err_code = _sdk.CameraImage_SaveAsBmp(c_void_p(Image), _str_to_string_buffer(FileName)) + SetLastError(err_code) + return err_code + +def CameraImage_SaveAsJpeg(Image, FileName, Quality): + err_code = _sdk.CameraImage_SaveAsJpeg(c_void_p(Image), _str_to_string_buffer(FileName), Quality) + SetLastError(err_code) + return err_code + +def CameraImage_SaveAsPng(Image, FileName): + err_code = _sdk.CameraImage_SaveAsPng(c_void_p(Image), _str_to_string_buffer(FileName)) + SetLastError(err_code) + return err_code + +def CameraImage_SaveAsRaw(Image, FileName, Format): + err_code = _sdk.CameraImage_SaveAsRaw(c_void_p(Image), _str_to_string_buffer(FileName), Format) + SetLastError(err_code) + return err_code + +def CameraImage_IPicture(Image): + NewPic = c_void_p() + err_code = _sdk.CameraImage_IPicture(c_void_p(Image), byref(NewPic)) + SetLastError(err_code) + return NewPic.value diff --git a/tools/para/conv1_b b/tools/para/conv1_b index 6f75652..64f8b0f 100644 --- a/tools/para/conv1_b +++ b/tools/para/conv1_b @@ -1,9 +1,7 @@ -8 -0.026843265 -0.13687223 -0.355584 --2.171335 -2.0351274 -1.8288306 --4.113487 --4.7374034 +6 +2.196893 +0.07216131 +0.30069783 +-0.4587247 +0.25476167 +-0.07236218 diff --git a/tools/para/conv1_w b/tools/para/conv1_w index ceb8d47..3388606 100644 --- a/tools/para/conv1_w +++ b/tools/para/conv1_w @@ -1,604 +1,454 @@ 3 -8 +6 5 5 --2.9782174 --2.6651182 --1.3565731 --0.71515507 --1.7859406 --2.684111 --1.4724858 -0.04020246 -0.77548623 --0.1794292 --2.5997305 --1.4265134 -0.440065 -1.3630146 -0.30190513 --2.4582045 --1.4430786 -0.26082784 -1.1095228 -0.4328239 --1.6762893 --0.9350925 -0.21789412 -1.1052345 -0.8590046 --3.6789916 --2.261982 --0.77916527 -0.12317675 --2.1683035 --2.549826 --1.3478683 -0.025417816 -0.64575124 --1.4800218 --1.753549 --0.8949698 --0.024855426 -0.11366078 --1.3182478 --1.0462829 --0.85299116 --0.4048244 --0.5765045 --1.8282827 --0.7784441 --0.7600385 --0.45631588 --1.0249175 --1.9576792 -3.5729718 -1.8756187 -1.0118876 -0.5353965 -1.1293336 -1.0842168 -0.3609477 -0.020235863 --0.1566249 -0.37660426 --0.9871151 --1.2983742 --1.035662 --0.7210759 --0.60598177 --2.3761704 --1.9462011 --1.874038 --1.9394345 --1.8341124 --3.7526653 --2.7090518 --2.5808823 --3.007599 --3.4807467 -1.7164402 -1.4845928 -2.0517924 -1.4374154 --1.7479851 -0.8887855 -0.66597176 -1.1581961 -1.0315101 --1.7107376 --0.3110492 --0.8260312 --0.16956839 --0.0577387 --2.0959692 --2.1401217 --2.3638315 --1.1693077 --1.3287042 --3.5723608 --3.415422 --3.5675733 --2.2473855 --3.031371 --6.3907104 --0.6326855 -0.01898494 -0.90070117 -0.8927626 --0.1301006 --0.79402864 --0.23139092 -0.92126244 -0.9262942 -0.1266433 --0.8248032 --0.16657189 -1.55068 -1.3421613 -0.51900357 --0.54847485 -0.48821396 -2.1423585 -1.8070092 -1.2340518 -0.04152438 -0.8996904 -2.5501797 -2.1799362 -1.5107694 --2.9797916 --1.7605861 --0.8339562 --0.04788677 -1.9371722 --2.585212 --1.200712 --0.31558794 -0.5414861 -1.9926666 --2.3607354 --1.1607069 -0.16124715 -0.9456218 -2.1475134 --2.0116332 --0.8959165 -0.048751194 -0.8693646 -2.168236 --1.4736981 --1.1394048 --0.011737687 -0.8162615 -2.495902 --2.5563226 --1.9645075 --1.0907824 --0.9455407 --1.4403633 --0.45431536 --0.5008508 -0.034030978 --0.40257418 --0.8747395 -1.7559218 -1.5120634 -1.4825916 -0.9732764 -0.15284327 -3.3078434 -2.6764996 -2.6532803 -1.9489672 -0.9154058 -3.602794 -2.8984725 -2.3822477 -1.8315382 -1.1713886 --4.0247035 --1.1143204 -1.735029 -3.656073 -4.678169 --4.3963757 --1.9227076 -1.1078598 -2.3541784 -2.4657578 --2.831886 --0.42431805 -1.2214946 -1.3721865 -0.2798288 --0.17868544 -1.2561281 -1.5237895 -0.095975526 --1.7709005 -2.0925624 -2.2949662 -1.4670483 --1.1164383 --3.2438612 -0.8401295 -1.0873098 -1.9233377 -2.1076348 --0.8021205 -0.4839056 -2.0021212 -3.1749654 -3.466726 -0.22971655 --0.48817644 -1.3395276 -3.2067947 -3.4048018 -0.5022449 --1.9100729 -0.1605595 -2.0816567 -2.4569864 -0.31071624 --1.9102747 --0.42106333 -1.3194344 -1.7005881 -0.37741998 --2.861938 --3.8181658 --4.356696 --4.452958 --6.531526 --1.3728927 --2.5049376 --2.5288932 --3.0248466 --5.082912 --0.27214006 --1.7416409 --1.6787281 --2.0400562 --3.31426 -0.21940656 --1.3708646 --1.3850986 --1.7077885 --2.088557 -0.87219626 --1.1246616 --1.1516154 --1.2346586 --0.9778283 -8.11842 -6.056508 -3.8455184 -3.7498913 -5.457951 -4.4248567 -3.363731 -2.3675928 -2.9207041 -4.817335 -0.19469827 -0.123999745 -0.42367518 -1.6536813 -3.4611714 --3.1354055 --2.412026 --1.3855715 --0.08415664 -1.6402525 --6.255834 --4.61962 --3.1388617 --2.211447 --0.70311046 -4.5204854 -3.2239668 -2.5273633 -0.72915167 --2.9861608 -4.0200152 -2.433882 -1.5978571 -0.04381635 --2.2035356 -2.6475196 -0.92475706 -0.013089299 --1.174763 --1.6291767 -0.861984 --0.870154 --1.7725887 --3.1127675 --3.1206594 --0.4767367 --1.8656111 --2.1643763 --5.083681 --7.387667 --3.2553387 --1.8094425 --0.7938054 --2.6029434 --5.427104 --3.3688645 --1.6733658 --0.42774215 --1.9116352 --3.9677196 --3.0103438 --0.7735317 -0.91388 --0.51011944 --2.3259752 --1.5174166 -0.7575087 -2.2741258 -0.65236014 --1.2270774 --0.7864913 -1.3652843 -2.8472443 -1.2861427 --0.3002741 --1.8986459 --2.069216 -0.26281026 -1.7805372 -2.6077561 --0.8016192 --0.35423726 -1.8760213 -2.3434896 -2.0730183 -0.5149078 --0.07480014 -1.9442524 -1.8706759 -1.2415026 -1.4539276 --0.16518468 -1.0321934 -1.0500971 -0.8323237 -2.3152206 --0.1195376 -0.1145884 -0.19754292 -0.8584608 --3.2913604 --1.4545199 -0.55593115 -0.8317786 --0.05433549 --1.1057487 --0.5374318 -0.2414085 --0.14088078 --0.85478634 -0.72827566 -1.1017749 -0.8934744 -0.524895 --0.3122229 -2.1416976 -2.0780594 -1.840194 -1.1356205 -0.22477068 -2.2199297 -1.9919928 -1.6015168 -0.73629797 -0.4533304 --6.8640475 --3.1384583 -1.4842024 -3.8940778 -5.027384 --7.0743885 --3.5432498 -1.3009834 -3.1368566 -3.425475 --4.370838 --1.4438357 -1.82274 -2.6251106 -1.4023573 --0.7257968 -1.1825644 -2.5193918 -1.4054289 --0.9178206 -2.8610957 -2.9489748 -2.431054 --0.13794084 --3.1735349 -1.6767627 -0.6051154 -0.44327003 -0.88963985 --1.4442806 -1.1702096 -1.3039889 -1.5537294 -2.1594918 --0.8081957 -0.0155309895 -0.41175988 -1.4067981 -1.6716185 --0.8798452 --0.77320397 --0.31454125 -0.22536623 -0.738165 --0.9581544 --0.4198347 --0.6008034 --0.3024189 -0.081814565 --0.659415 -1.2550892 -1.4122939 -1.8048086 -2.9618168 -2.1389089 -1.9352496 -2.0559072 -2.5977778 -3.5345922 -2.9064677 -2.7096508 -2.5592353 -3.0302248 -3.5454922 -3.6668284 -3.5370026 -3.0028284 -3.2894576 -3.5864203 -4.3496423 -4.1917844 -3.4720504 -3.7605016 -4.1706333 -5.3256187 -5.8570275 -4.1048474 -2.6219096 -2.073025 -3.303827 -2.0290408 -1.3777667 -1.3599135 -1.9103858 -3.300542 --2.272208 --1.6904141 --0.35359967 -0.86464846 -2.3890414 --5.3942204 --4.0085244 --2.2042794 --0.71909356 -0.48128876 --8.704499 --6.1419926 --3.908071 --3.1885693 --2.689794 -5.430523 -3.2715304 -2.145981 -1.7498558 --0.596685 -5.0531163 -2.4205787 -0.8421582 -0.53197145 --0.6723225 -3.8847039 -0.78489554 --0.7776541 --0.868751 --1.077416 -2.1735187 --0.32780942 --1.6985153 --2.313203 --2.5997553 -0.7122101 --0.8907381 --1.3631963 --2.9216537 --5.0689883 --2.5124087 --1.1829779 -1.6197816 -1.5522522 --0.90168333 --3.4592156 --1.8433551 -0.67609274 -0.6338955 --1.539548 --3.8652153 --2.0579886 -0.6585848 -0.49338332 --1.6649413 --3.3690243 --1.4838063 -0.98075527 -0.040486667 --1.7626308 --3.4554906 --1.5771188 -0.2501447 --0.6552307 --2.2558155 --1.3822956 --4.7391706 --4.512407 --3.5724926 --2.739577 --0.2096001 --3.1262934 --2.2925448 --3.3054068 --4.8272667 -0.74002856 --2.9895797 --2.8424296 --4.460591 --6.9045143 -1.368659 --3.114031 --4.832852 --5.932284 --7.2517495 -1.9988109 --3.5311444 --6.336329 --6.8963547 --7.335683 --3.2310345 --4.0969305 --4.37642 --4.170915 --6.0404644 --1.0998095 --2.4449265 --4.2078485 --4.779256 --6.678477 -0.69915295 --0.58351547 --2.1701567 --3.2518337 --5.1661406 -1.8435327 -0.61097944 --0.8713398 --1.8836799 --3.467854 -1.7981777 -0.5171108 --0.89279115 --1.9039534 --2.891522 --8.829167 --5.139167 --0.031996675 -2.7426183 -4.2188435 --9.150539 --5.5172763 --0.6948103 -1.63741 -2.1566606 --5.306521 --2.6074364 -0.48761943 -1.3872951 --0.007962336 --0.43735477 -1.0422846 -2.3207746 -0.89451134 --1.7853501 -4.68764 -3.7467923 -2.6109762 --0.07378677 --3.4494226 +0.44015908 +-0.2615819 +-0.7202753 +-0.6970971 +-1.4688265 +0.041381914 +-0.4771021 +-0.66656536 +-0.48385224 +-1.4722625 +-0.27656743 +-0.9269907 +-0.67948955 +-0.25132853 +-0.9113727 +-0.2557801 +-0.60230213 +-0.1460812 +0.27652547 +0.05081466 +-0.041295715 +0.12629044 +0.6560201 +1.2785738 +1.2724568 +0.96436024 +0.8186016 +0.88649714 +0.75382483 +0.73065615 +0.6149405 +0.60412383 +0.6761081 +0.57785183 +0.76593316 +0.038173575 +0.34317255 +0.4631205 +0.47925335 +0.563723 +-0.111236684 +-0.02848622 +0.10297996 +0.30407003 +0.248617 +-0.27458128 +-0.39390934 +-0.14871475 +0.16967124 +0.24545498 +-1.029415 +-0.29149657 +0.04355961 +0.0037662752 +0.29983765 +-0.77363306 +-0.16461371 +0.12952146 +0.24172097 +0.57778966 +-0.59511507 +-0.09913258 +0.42451194 +0.28742495 +0.40570587 +-0.6389509 +-0.26765737 +-0.008538765 +-0.16448489 +-0.108952306 +-1.0954283 +-0.7077157 +-0.51456565 +-0.8886615 +-0.9622352 +0.60970205 +0.76268256 +0.55864525 +0.55142695 +0.20495823 +0.6414269 +0.6300521 +0.65805984 +0.44780147 +0.3747945 +0.5441177 +0.5725899 +0.4964406 +0.45946532 +0.43612415 +0.3597355 +0.37553644 +0.44157314 +0.387358 +0.40075454 +0.17919225 +0.15043777 +0.40608513 +0.5315383 +0.70023865 +-0.39882216 +-0.22897638 +0.07692382 +0.46537802 +0.2471119 +-0.28952354 +-0.18228096 +0.17880945 +0.25431904 +0.3143998 +-0.39884818 +-0.15753536 +0.06485958 +-0.2133111 +-0.05121911 +-0.61350924 +-0.5361917 +-0.37863305 +-0.66671985 +-0.5644232 +-0.6748531 +-1.03323 +-1.2689675 +-1.4129945 +-1.1743933 +-0.06001543 +-0.14319007 +-0.16163512 +-0.0396769 +-0.1525588 +-0.072800726 +-0.13891631 +-0.19958425 +-0.11522951 +-0.021397796 +-0.13518313 +-0.06954514 +-0.074013405 +-0.25381202 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+-0.8224304 +-0.5535824 +-0.72263557 +-0.7589949 +-0.7107847 +-0.79393065 +-0.7419499 +-0.9067372 +-0.8085271 +-0.7942699 +-0.8814587 +-0.8113622 +-0.816829 +-0.59503084 +-0.6020855 +-0.59153247 +0.2328816 +0.058455627 +0.35925868 +0.93043673 +0.96835476 +0.55263966 +0.550377 +0.6435757 +0.8017134 +0.9625085 +0.51592493 +0.47526795 +0.3429181 +0.3358717 +0.3496695 +0.39214912 +0.13631415 +-0.2063166 +-0.37639305 +-0.24261068 +-0.0990127 +-0.73492914 +-1.2090002 +-1.3132827 +-1.1944927 +-0.11983766 +-0.05122047 +-0.25813514 +0.030627063 +-0.09024451 +0.0011977615 +-0.03363351 +-0.098981306 +-0.020513052 +-0.16713202 +0.059736907 +-0.19797234 +-0.04968633 +-0.06846121 +0.06014312 +-0.15752262 +0.05522959 +0.0477386 +-0.18798226 +0.034906518 +-0.12586041 +-0.034278292 +-0.20553574 +-0.017096782 +-0.18171601 diff --git a/tools/para/conv2_b b/tools/para/conv2_b index 3158b45..557739d 100644 --- a/tools/para/conv2_b +++ b/tools/para/conv2_b @@ -1,17 +1,11 @@ -16 -1.252942 -8.216776 --0.25801975 -0.23331891 --1.0068187 --1.1067235 --0.40771145 --0.43731463 --1.4359887 --0.2637226 --0.41042513 -5.653234 -11.668375 --1.4110142 --0.1370871 --0.19704156 +10 +-0.20609309 +-0.22031759 +0.1367356 +0.3687642 +0.41563538 +0.56676525 +-0.18027179 +0.23183917 +-0.42312288 +-0.071102634 diff --git a/tools/para/conv2_w b/tools/para/conv2_w index f3c226f..78cebb7 100644 --- a/tools/para/conv2_w +++ b/tools/para/conv2_w @@ -1,1156 +1,544 @@ -8 -16 +6 +10 3 3 -2.528194 -1.4439361 --5.4951735 -2.2880518 -1.4362154 --3.023069 -1.4483745 -0.658672 --2.5742404 --4.561273 -1.1310867 -4.4541855 -0.729729 --0.89126325 --1.8799245 -3.2880557 --1.0479068 --2.4028687 --0.18479937 --0.2205162 --0.0717729 --0.22827874 --0.045498706 --0.16825162 --0.2301596 --0.039492413 -0.06132566 --1.2562414 --0.9860489 --0.7456705 --2.1455412 --0.70555836 --1.0999337 --1.6872184 --0.93580514 --0.72242266 --0.59921974 --0.37660927 --0.5710473 --0.6777873 --0.53962284 --0.76383436 --0.96055055 --0.75808024 --0.945547 --1.1672771 --0.9971411 --0.3238235 --0.908474 --0.7311899 --0.3864701 --0.77008414 --0.7862715 --0.25938556 --1.1431575 --0.48656985 --0.3909067 --0.964899 --0.5915166 --0.4426372 --0.96950597 --0.96182954 --0.5952653 --0.20211217 --0.29500848 --0.39367452 --0.4958504 --0.42962587 --0.27413532 --0.44549802 --0.42148417 --0.48700002 --1.4380352 --1.6112933 --1.0044119 --1.3831018 --1.3246049 --1.1769619 --0.9044617 --1.083546 --1.1630154 --0.033992555 --0.11560272 --0.124312535 -0.06643366 --0.2198528 --0.10782671 --0.2662431 --0.036484074 --0.1607921 -0.110847555 --0.32656935 --0.4941239 --0.13331982 --0.13827623 --0.5403752 --0.120884515 --0.0757843 --0.25546205 --3.5238438 --1.6656625 --0.05813244 -0.46657127 -1.6807805 -0.28241274 -1.0553442 -2.0797298 -1.2243083 -0.20796585 --1.9198432 -1.5067025 -0.27208698 --1.139359 -0.832419 -1.5836635 -0.6223768 -0.53145796 --0.0901517 --0.6702588 --0.7795072 --0.16785653 --0.5737043 --0.65574837 --0.22432508 --0.42609423 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+2.1033192 +-0.19900312 +-0.0075173783 +0.05968375 +-0.13455966 +-0.203078 +3.4187536 +-0.17911159 +0.2670588 +-0.58640796 diff --git a/tools/para/fc1_w b/tools/para/fc1_w index aaa156e..d85b8e8 100644 --- a/tools/para/fc1_w +++ b/tools/para/fc1_w @@ -1,17922 +1,11202 @@ -1120 +700 16 -3.9822507e-34 --0.05000272 --7.373031e-35 -0.17157441 --0.03731478 -1.03759325e-33 --9.6671535e-34 -1.7741596e-34 -0.030922353 -4.8106445e-34 -0.09330849 -3.4930497e-34 -2.981944e-34 -4.969533e-34 -8.0406006e-35 --0.049774315 --5.386053e-34 --0.14364101 -1.9192737e-34 --0.20241167 -0.120351225 -1.14144175e-33 --1.0514433e-33 --1.8618223e-34 --0.09762051 -1.1615445e-34 --0.20213953 --4.6727067e-34 -7.805086e-34 --9.449143e-34 -2.6809146e-34 -0.079388246 -8.964379e-34 --6.8588755e-34 --2.7916967e-34 --2.6470234e-11 -6.0976376e-08 --4.6318665e-34 -2.1953239e-34 -3.1996837e-34 -1.0328525e-33 -3.9608948e-35 --1.6798854e-06 -7.866532e-34 -3.1055638e-34 -1.0781215e-33 --1.2021029e-34 -8.886424e-34 -4.110996e-34 --0.00012182874 --2.1783127e-34 --1.6716727e-06 -6.633588e-05 --1.5129365e-34 -1.1021271e-11 --8.677762e-34 -0.0010808081 --8.14165e-34 -2.2204858e-07 --7.366742e-35 -2.3046191e-34 -1.1897413e-33 --3.4998345e-34 -2.4218924e-08 -4.0096053e-34 --1.1703207e-33 --5.0617145e-34 --1.7227576e-06 --6.731767e-34 -6.576946e-34 --0.0001480293 -4.276605e-34 -1.143637e-33 --5.691504e-34 --1.4410106e-09 -4.5405453e-34 --7.200759e-34 -5.6548184e-34 -3.644822e-34 -9.362078e-34 -1.09559315e-33 --3.1895216e-34 --8.502176e-34 --1.0245712e-33 -6.5514295e-36 --2.303022e-34 --7.2183793e-34 -8.399794e-34 --1.0763546e-33 -7.895832e-34 --5.858689e-34 -1.0477513e-33 --1.0366602e-33 --8.508933e-34 --1.0070986e-33 -8.247542e-34 -4.075424e-34 --1.0051094e-33 --5.9783e-34 --5.68364e-34 -9.873218e-35 --6.362547e-36 -7.9666485e-34 -5.1781284e-34 --7.795009e-34 -2.9718885e-34 --7.906809e-35 -9.084877e-34 --4.927899e-34 --3.431886e-34 --1.186206e-33 --9.14562e-34 -2.13303e-12 -1.35771655e-33 --5.0503186e-34 -1.3241738e-33 -1.8798968e-08 --6.4077813e-34 --3.6430355e-11 -1.9436652e-34 --9.634809e-07 -1.1855889e-33 --3.874581e-11 --1.801088e-10 --7.969073e-34 -7.517683e-34 --6.6151826e-34 --1.2876777e-33 --2.6725163e-36 --5.555974e-34 --7.9492365e-34 -2.2864271e-12 -1.3457048e-33 --1.20862235e-33 --9.307203e-06 --5.947513e-34 --4.5699465e-11 --7.645361e-35 -1.352803e-34 -2.1061787e-34 --1.3427291e-34 -1.18848255e-33 -1.6826958e-34 --1.06331105e-33 --2.8424188e-35 -4.987255e-34 --5.042665e-34 --7.3707316e-34 --9.6041415e-34 --8.30716e-34 --4.7629143e-05 -2.9670102e-34 -1.2479606e-33 -1.1289977e-33 -5.5636735e-34 --5.4763637e-34 -6.9175198e-34 --8.122607e-34 --8.089807e-34 --7.1337666e-34 -3.436143e-34 -1.088186e-33 -9.505604e-34 --9.054774e-34 --4.830007e-34 -1.1461873e-33 -5.290452e-12 --6.13541e-34 -3.5337033e-09 --4.1504263e-34 --5.6518944e-34 --5.765347e-34 -5.688441e-34 -3.7436465e-34 --9.699498e-34 -3.9829334e-10 --5.2679513e-34 --0.054561514 --6.8106136e-34 -0.009602962 --0.0034505944 --2.7739908e-34 -5.083827e-34 -9.803446e-34 -0.25848064 -1.0030607e-33 -0.01752688 -2.74669e-34 --9.974278e-35 --9.239088e-34 -5.8667894e-34 --0.01693353 -2.2661878e-34 --0.19384119 -4.720103e-34 --0.034155525 --0.52928764 -6.9195714e-34 --6.5477345e-34 --2.6181464e-34 --0.09446469 -1.1042076e-33 -0.0044718334 -1.5018786e-34 -1.7703154e-34 -8.181057e-34 --5.477407e-34 -0.0022609371 -7.56938e-35 --1.935173e-05 -9.704056e-34 --1.3454802e-08 --1.2946619e-34 --1.1256292e-33 --5.039021e-34 -8.120973e-34 -8.321898e-06 -4.7550703e-34 -9.153222e-34 --5.328543e-34 --6.9040144e-34 -1.0624065e-33 -3.701335e-34 -4.1532383e-34 -1.1880868e-33 -5.409491e-34 --4.004182e-34 -5.6970104e-35 --8.098559e-34 -1.1852715e-33 --3.998317e-34 -9.869811e-34 --9.435083e-34 -7.788295e-34 -1.0259412e-33 -8.344006e-34 -3.2734873e-34 -6.9205577e-34 -1.1865746e-33 --7.95238e-35 -2.4759584e-35 -7.802619e-35 --8.019542e-34 -6.617758e-34 --9.508868e-34 -5.744237e-34 -1.1788739e-34 -2.7122144e-34 --6.9035424e-34 -1.208593e-33 --1.139954e-35 -4.830602e-34 --6.290164e-34 --4.9800613e-34 -1.1966013e-33 -1.2492008e-33 --7.484431e-34 --0.0005950677 -4.0159906e-34 --0.05528692 --0.117689155 -1.0398299e-33 -1.2089375e-34 --3.8404344e-34 -0.16006625 --3.4062245e-36 -0.042890552 -1.061053e-33 -6.450755e-36 --1.0945405e-33 --1.3184471e-34 --0.014016111 -6.1778436e-34 -0.1471309 --1.0085763e-33 --0.08748847 -0.13495983 --9.542487e-34 --1.253127e-33 --2.700409e-34 --0.06931787 -5.5899123e-34 --0.18064272 -3.5792843e-34 --3.5655232e-34 --2.0371464e-34 -5.197474e-34 -0.09834473 -4.118631e-34 --3.6050185e-34 -2.1737747e-34 -1.2542848e-33 --6.3221466e-34 --8.502321e-34 --1.0397242e-11 -9.018966e-34 --1.06124365e-33 --1.5511635e-34 -1.1470988e-33 -9.54021e-34 --2.9956707e-34 --6.1901973e-34 -8.585459e-34 --6.6226176e-34 -9.700159e-35 --1.5208887e-05 -2.9582022e-34 -4.231092e-06 -7.289732e-06 -9.9111365e-34 --5.597015e-10 -1.6993901e-34 -1.0307308e-07 --6.734073e-35 -1.1156001e-20 --2.9734603e-34 --3.7446475e-35 -3.6945934e-34 --2.792801e-34 -2.1029213e-16 -9.481554e-34 -1.2932275e-36 --8.532403e-34 -8.474183e-12 --6.8844e-34 -4.973803e-34 --1.1499371e-10 --2.9433561e-34 --2.9083493e-34 --7.261542e-34 -1.1081477e-34 --7.967912e-34 -7.237281e-34 --7.6502476e-34 --1.5478802e-34 -3.4467386e-34 --1.1657093e-33 --7.050758e-34 --2.653297e-34 --2.3744398e-34 -1.0507127e-33 -3.2408967e-34 -1.7101092e-34 -8.963564e-34 --1.1199405e-33 -5.2961864e-35 -4.8934765e-34 -7.349771e-34 -5.9316565e-34 -4.7240198e-34 --9.5617695e-35 --1.0480561e-33 -5.8244634e-34 -6.997726e-35 --9.787267e-35 --6.328181e-34 -5.355949e-34 -5.9188767e-34 -3.556955e-35 -1.58402e-34 -7.5520007e-34 --7.6920906e-35 -5.2062057e-34 --7.99571e-34 -3.3933549e-34 --1.0662185e-33 --1.091399e-34 --4.5496884e-34 --5.537357e-34 -1.1735431e-06 -7.7150045e-34 --4.362707e-08 -1.1968208e-33 --1.1561769e-33 -1.8019705e-10 --4.71018e-34 -1.2810949e-33 --8.258112e-34 --1.16077275e-33 --3.4677708e-34 -1.1388792e-33 --4.844168e-34 --1.0128544e-33 -5.7136463e-06 --3.3961136e-34 --1.8064417e-10 -3.5401206e-35 --4.1035968e-14 --5.8503766e-34 --1.1526828e-33 -1.1008514e-33 --8.316797e-35 -2.471301e-12 -4.481306e-34 -1.5171547e-33 -5.798376e-35 --9.6584e-34 --4.494252e-34 -7.5569726e-34 --5.4328116e-34 -1.0992011e-33 --1.1555168e-33 -6.1916043e-34 --1.0000768e-33 --1.0721111e-33 -7.9573e-34 --9.673448e-34 --2.0509082e-11 --3.6231307e-34 --4.160732e-34 -8.500984e-34 -1.023608e-33 -1.3589449e-34 -1.0836309e-33 --1.4841571e-34 --6.2021433e-34 --1.3129354e-34 -4.752304e-34 --4.9189296e-35 --1.0679836e-33 --4.800267e-34 -2.0375082e-34 -1.8563215e-12 -1.8006167e-34 -3.0188458e-34 -5.728825e-34 --8.994795e-34 --7.3543004e-34 --3.897892e-34 -7.291992e-34 --7.4996654e-35 --6.6345673e-34 --3.2058486e-34 -0.061378065 --1.0159499e-33 --0.09642482 --0.016141528 -1.0233344e-33 --5.079312e-34 --3.4637323e-34 -0.14998798 --4.661378e-34 -0.0017616064 --9.978137e-34 -8.602621e-35 -1.0989938e-33 -5.980361e-34 -0.0723586 -4.4942676e-34 -0.009748106 --9.734794e-34 --0.19165033 --0.4760208 -7.206377e-34 --8.5684015e-34 --5.7611543e-34 --0.116305485 -6.376899e-34 -0.08900074 -2.350459e-34 -6.684504e-35 -1.3577088e-34 -6.7816762e-34 -0.009736913 -5.6599667e-34 --3.4290904e-34 -1.0529034e-33 -7.65886e-34 --3.202166e-34 -6.505274e-34 --6.277765e-34 -7.6891436e-34 --1.1952059e-33 -6.092874e-34 -8.532326e-34 --7.772422e-34 --1.774968e-34 -3.7528697e-34 --1.1363793e-33 -1.0930607e-33 -1.4117099e-34 -3.9350206e-34 --3.2038135e-34 -6.24067e-34 -5.3640415e-34 --1.0072767e-33 -1.10235215e-33 --2.8965577e-34 --9.514304e-34 -1.0540423e-33 --1.0061023e-33 -4.7793213e-34 -8.698952e-34 --1.0693913e-34 --8.526756e-34 -5.968896e-34 -2.6340881e-34 --5.671479e-34 -9.073843e-34 -5.0861786e-09 --5.641418e-34 -1.114592e-33 --4.5526235e-34 -1.3702995e-34 -6.52193e-06 --4.6924766e-34 --5.8119944e-34 -9.2477885e-35 --2.2907708e-34 --8.693198e-34 -3.798999e-34 -1.5542308e-06 --6.6039057e-34 --0.0046887114 --4.71368e-34 --0.08928076 --0.03063729 -5.1067497e-34 -1.2210141e-33 -2.6397287e-34 -0.22487403 -7.1865927e-34 --0.009815805 --1.8320839e-34 --9.673895e-34 -2.2265847e-34 -6.3844046e-34 -0.059810895 -4.6485943e-34 -0.1609689 --5.246762e-34 --0.09071475 -0.18982966 -5.226397e-09 -8.246924e-34 -1.6892616e-34 --0.094466686 --4.0348518e-34 --0.08467287 -2.0244348e-34 --5.3192024e-34 -5.8448665e-34 -1.6876429e-34 -0.115534045 -9.090501e-34 -6.813597e-35 --3.486958e-34 -1.0088221e-05 -8.990901e-34 -7.982238e-34 --1.192509e-11 --6.9234872e-34 -1.1014852e-33 -9.386166e-34 -5.063106e-10 --7.876557e-34 --1.9113511e-34 -5.813049e-35 -2.9989685e-34 --9.815378e-36 --4.548902e-34 -2.2501438e-10 --9.3366605e-34 -1.8742043e-09 -1.150231e-09 -2.4964561e-34 -1.1690438e-34 -1.2924248e-34 -1.4853561e-20 -2.3419913e-34 --2.7485544e-12 --4.656982e-34 --1.1014338e-33 -5.1027787e-34 --4.096526e-34 -7.404674e-27 -8.912301e-34 --4.5239396e-34 --9.331598e-34 -1.7464455e-06 --8.0544065e-34 --3.208925e-35 -5.5924144e-36 --4.121557e-34 --1.17799815e-33 -5.903306e-34 -5.424943e-35 --8.83336e-35 --2.194575e-34 -7.811395e-34 --7.831572e-34 -1.4120405e-34 -5.810314e-34 --1.006495e-33 -4.1084267e-34 -1.6446665e-33 -1.2435452e-33 -2.189979e-34 -1.0979852e-33 -6.1559252e-34 --3.298672e-05 --1.5239352e-34 -1.6832785e-34 -1.0957889e-33 -4.947206e-34 -5.4376018e-34 --1.12159665e-33 -5.0060737e-13 --2.1068303e-35 -1.0053211e-33 -8.107415e-34 --5.383764e-34 --5.7656106e-34 --1.5799048e-34 -5.293655e-34 --1.1824237e-33 -8.046812e-34 --5.507091e-34 -9.494909e-34 -2.8240428e-34 -2.247828e-34 --6.1484035e-34 --5.958624e-34 --1.9129327e-34 --7.3842204e-34 -7.93752e-05 -7.468415e-34 -6.271953e-34 -0.00034431322 --1.7881326e-34 -1.6857845e-11 -3.4243252e-35 --1.15779875e-33 --1.516785e-11 -0.0007756772 -7.254692e-34 --5.583247e-07 -2.7292297e-34 --8.683759e-34 --9.0623e-07 -3.4003886e-34 --8.101492e-34 --8.5595375e-34 -0.0007284874 --1.3422456e-33 --1.0718176e-33 --3.954361e-34 --7.543828e-34 -3.0058533e-10 -9.582266e-34 --5.4262417e-09 -6.7878095e-34 -9.213626e-34 --4.8499887e-34 --1.7480232e-34 --1.4327278e-33 -1.1502065e-33 -1.1890158e-33 --2.4109352e-34 -3.631587e-34 --2.8325887e-34 --7.169443e-34 --6.534103e-34 --1.1296795e-33 --1.039763e-33 -2.4333137e-34 --4.2184966e-34 -7.2782937e-34 -4.7478658e-34 -5.9416648e-34 -3.5478293e-34 --1.8520097e-35 --4.126369e-34 -3.3212776e-34 -5.312518e-35 -8.100146e-34 -1.106196e-33 -1.1404529e-33 --2.7563285e-34 --2.3493614e-34 --7.788576e-34 --1.1267258e-33 -9.201035e-34 --1.0959648e-33 --6.4655973e-34 -3.697929e-34 --5.746892e-34 --2.7794775e-34 -1.1400212e-35 --0.03376356 --4.0164006e-34 -0.20370486 --0.06744096 --3.3470053e-34 --4.7788703e-34 --9.242674e-34 --0.10677416 --7.0966366e-34 --0.017582849 --2.5958759e-34 --2.8878556e-34 -6.331907e-34 -1.03317495e-33 -0.030340822 --4.310238e-34 -0.035222795 --3.3446873e-34 -0.050671622 --0.19980532 --1.4237854e-35 --6.5594394e-34 -1.0789936e-35 --0.2550949 -6.4235247e-34 --0.04199641 --5.8483674e-35 -2.5487845e-34 -4.6267246e-34 -1.14791055e-33 -0.057306945 -7.3752912e-34 -1.3452945e-34 -9.142966e-34 -8.2110925e-34 --3.5061507e-35 --1.0445553e-33 -2.6465208e-34 -1.19003375e-33 --1.2831476e-33 -1.0795988e-33 --7.918027e-34 -4.5263604e-34 -8.783279e-34 -7.5865294e-34 --9.072049e-35 -7.1970684e-34 -6.8022387e-34 -1.2366968e-33 --5.8715135e-34 -1.3528382e-33 --5.4997165e-34 --7.2564736e-34 --1.6267253e-06 --1.9983404e-35 --1.0740742e-33 -1.4918493e-34 -7.920804e-34 -7.5532184e-34 -1.19975215e-33 -6.848489e-34 -5.43753e-34 --8.222278e-34 --4.8570136e-34 -4.5880426e-34 -2.6155126e-34 --9.006123e-34 --7.037402e-34 -1.940598e-34 --1.1916523e-33 --2.1894133e-34 -8.3013925e-34 -7.2166046e-34 --1.0405241e-33 --1.013586e-33 --1.0312456e-34 -5.7980065e-35 --9.7518185e-34 -6.469186e-35 -7.804059e-34 --0.077704504 -3.9223124e-34 -0.12463619 --0.00069599575 --1.1039469e-33 --1.1868184e-33 -7.976534e-34 -0.016230047 -2.88116e-34 --7.778438e-08 -4.8155485e-34 --1.0506146e-33 -4.4895596e-34 --7.292049e-34 --8.533563e-05 --6.8906726e-34 -0.29977062 --3.0013254e-34 -0.17471887 -0.09577924 -9.059423e-34 -4.285877e-34 --5.472029e-34 --0.14193867 --4.1256477e-34 --0.15570953 --3.0629778e-34 --1.7952168e-34 --1.056023e-33 -7.225343e-34 -0.050612856 -6.4913957e-34 -0.00013318592 -1.0427953e-33 --0.0004925644 -1.0033726e-33 --1.0327539e-33 --2.7322907e-12 -5.6333634e-34 --5.6431884e-34 -8.401882e-34 --7.762597e-34 --1.6357509e-35 -6.3645856e-35 --7.888556e-34 --1.12544805e-33 -3.2638867e-10 -7.227898e-34 --6.806125e-34 --1.06699705e-33 -9.22573e-26 --8.5394034e-32 -2.2563853e-34 --7.851406e-34 -8.1719036e-35 -9.2452046e-11 -5.911507e-34 --6.748381e-34 --1.3116772e-34 --6.127527e-34 -1.9283948e-34 -5.977609e-34 --3.093018e-33 -6.8897455e-34 -3.6512232e-35 --9.628112e-34 -6.214148e-34 -3.444575e-34 --6.949493e-34 -1.3191941e-33 --9.4860006e-35 --4.6217793e-34 --9.068311e-34 -9.150907e-34 -8.29459e-35 -6.571286e-34 -4.43169e-34 --2.9977452e-34 --6.3358273e-34 --1.0902291e-33 --9.59271e-34 --9.656118e-34 --1.1852372e-12 -1.2071137e-33 --1.0523823e-33 --4.4912994e-34 --3.7420155e-34 --3.72995e-09 --1.1671815e-33 -7.2320866e-34 --2.180784e-34 -7.941842e-34 -5.243634e-34 --5.173693e-34 -2.0388335e-08 -8.4084975e-34 --2.2058987e-34 -9.1742485e-34 --5.5078063e-34 -6.9095705e-34 -5.3723178e-34 -1.1503357e-34 --1.0771313e-33 --1.741146e-34 --3.7958751e-34 --3.3381542e-34 -1.8969173e-34 -8.698171e-34 --4.32136e-34 -4.660451e-34 -2.553393e-35 -8.243382e-34 -1.1820977e-33 --3.864173e-34 -7.4331798e-34 --4.818939e-35 -8.063076e-34 -4.7418735e-06 --5.1472547e-34 --1.0529109e-33 -5.943505e-34 --9.860487e-34 -1.0277171e-33 --5.5978216e-34 --4.0071133e-35 -1.0660999e-35 --1.0174447e-33 --3.5025002e-35 --0.00080112927 -8.628178e-34 --3.115707e-08 --1.7796984e-34 -1.1929945e-33 --5.7846077e-34 --1.1624712e-33 --8.992679e-34 -0.0 --7.639229e-34 --2.3587897e-34 --1.0188574e-33 --6.946591e-34 --3.2536774e-34 -1.0423667e-33 --5.668263e-34 -8.3864065e-34 -5.4773996e-34 -3.4573328e-34 -1.0715145e-34 --1.1961213e-33 --5.396553e-34 --4.371355e-34 -2.597995e-34 --1.141135e-33 -2.4477126e-34 --4.9294356e-35 --1.3658142e-34 --1.751009e-35 -2.3784255e-34 -7.3297583e-34 --1.1805796e-33 --1.0905928e-33 -3.6567646e-34 -1.7788168e-35 -1.00697695e-33 --5.2477594e-34 --3.9313086e-10 --1.3232439e-34 --1.1155412e-33 -6.9676785e-34 --0.00013138402 -5.4784814e-34 --3.0962604e-34 --3.952036e-34 -4.118259e-34 --1.3598061e-12 --5.019672e-34 -0.12029927 -1.1818317e-33 -0.09887895 -0.031932052 --8.485453e-34 -1.2255752e-34 -6.7177046e-35 -0.08900247 -4.284408e-35 -0.06692878 -4.079392e-34 -4.2837878e-35 -7.6140084e-34 --2.5777321e-34 --0.16223542 --1.1331646e-33 -0.02528702 --9.218436e-34 -0.17962691 -0.008967102 -1.00415595e-33 -6.2796584e-34 --9.106055e-34 --0.2532802 --9.920177e-34 --0.1398384 --2.685486e-34 --6.4418284e-35 --1.5785057e-34 -8.517623e-34 -0.16894913 -4.113169e-34 -7.0608713e-34 -8.87583e-34 --6.8056715e-34 -8.259549e-34 -6.2571225e-34 -8.546182e-34 --4.605844e-34 --3.6109447e-09 -6.62044e-34 -1.191794e-33 -7.466078e-34 -1.1494248e-33 -7.136706e-34 -2.1956662e-35 -6.1468583e-34 -2.0625706e-11 -0.00018219248 --2.6434223e-34 -1.1704235e-33 --3.2982195e-09 -1.146172e-33 --3.7291383e-34 --4.593483e-34 -2.4623102e-11 -5.494817e-34 --1.0005191e-33 --9.534302e-34 --1.3285223e-09 -4.3316508e-34 -7.6975833e-34 -1.0783276e-33 --8.489694e-34 --2.4209444e-34 -9.154818e-34 -1.1114461e-33 -9.926403e-34 -5.174339e-34 --3.6679244e-34 --3.7605938e-34 -8.905102e-05 -2.716726e-35 --5.9540993e-34 -3.8068203e-34 --2.5362264e-34 --3.7662068e-34 -1.8316342e-34 --9.704264e-34 --6.3596667e-35 --0.15457423 -1.1365193e-33 --0.007633132 --0.12813316 -8.222388e-34 --9.344768e-35 --4.5031866e-34 -0.20064987 -5.785437e-34 -0.017909776 -2.8433333e-34 -4.3003642e-34 --6.7775965e-34 --9.926556e-35 -0.24158835 -3.4331199e-34 -0.15884465 --6.383858e-34 -0.07713019 -0.03548872 --1.007467e-33 --1.0221587e-33 -2.1042873e-34 --0.0865922 -5.906212e-35 --0.046897005 -6.8556465e-34 -1.0373006e-33 -1.0808715e-33 -2.6189837e-34 -0.00034990604 --6.1405745e-34 -5.4314217e-34 -1.3520031e-34 -1.5418766e-07 --4.667418e-34 -4.7006173e-34 --8.597552e-11 -3.4519585e-36 -1.160592e-33 --1.5548452e-34 -0.00081588817 --9.621479e-36 --7.639815e-34 -3.99633e-34 --8.954627e-34 --2.5164974e-12 -5.310618e-34 --5.5520017e-34 -8.192942e-34 -3.861578e-34 --4.885368e-34 --1.0972162e-08 -1.7555813e-07 -3.034202e-34 -1.2361043e-33 --5.1926287e-34 --1.0688691e-33 -1.1689066e-33 -3.977443e-34 --2.4757674e-34 -5.9966063e-34 --5.430769e-34 --2.1224207e-34 --1.2267612e-34 --3.7257043e-34 --1.0729354e-33 --2.0384656e-34 -5.145783e-34 --6.109561e-34 --5.6722777e-34 --9.471743e-34 --4.112315e-34 -2.7176093e-34 --6.5852103e-34 --1.0746941e-33 --2.4975145e-34 -6.8114805e-34 --1.8569695e-34 -1.0940471e-33 --3.8927983e-34 -4.034204e-34 --6.942511e-34 -6.9981904e-34 --1.9523604e-34 --6.4375347e-34 -2.578496e-34 --1.1672758e-33 -3.1845898e-34 -6.4708944e-34 -6.038304e-35 -6.8972985e-34 --5.88657e-34 --8.283374e-34 -1.0765646e-34 --7.1247e-34 -7.35721e-35 --1.1822449e-33 --5.2231025e-34 -1.8767044e-34 -2.0529825e-34 --1.0069597e-33 -2.2573254e-34 --6.71694e-34 -2.0111923e-34 -2.7666006e-34 --5.8127594e-34 -1.298042e-35 -3.221056e-34 --8.340397e-34 --6.750322e-34 --1.6601103e-34 -8.431586e-34 -9.189074e-34 -1.0474066e-33 --7.4900516e-34 --2.0719925e-35 --4.390339e-34 -7.2890348e-34 -1.2066685e-33 -1.1809439e-33 -0.00012060968 --7.058726e-34 --1.7530955e-34 --0.0001129201 -8.25895e-34 --7.993376e-34 -3.1094002e-34 --1.3068544e-33 -9.394033e-34 -6.2819887e-34 --1.1871641e-33 --1.5925542e-34 -7.659727e-34 --8.735054e-34 --7.679679e-34 --7.661189e-35 --4.4690463e-34 -6.4485503e-34 --7.467927e-34 -1.0931824e-33 --3.1865202e-34 --1.0918271e-33 --1.1451058e-33 --1.0324984e-33 --6.2183504e-34 --2.7642815e-34 -9.780495e-34 --4.0451213e-34 --9.950589e-34 --1.0042087e-33 --1.1992687e-33 -4.33249e-34 -9.9910555e-34 --6.7410193e-35 --1.2118744e-33 -1.0607439e-33 -1.07117e-33 --8.907646e-34 -5.417595e-34 --6.2800974e-34 -5.8535486e-34 --4.991002e-34 -4.1382187e-09 --3.5607634e-34 -1.8599969e-11 --1.0116249e-34 -3.5991874e-34 --2.7898522e-35 -1.9825888e-34 -3.88635e-34 --1.2569961e-34 --4.9320694e-34 --7.332626e-34 --2.6606727e-34 -8.3359585e-34 -0.07351743 -1.0366282e-33 -0.0035551775 --0.011586785 --6.304261e-34 -3.5109179e-34 -2.0608253e-34 -0.16745 -4.181815e-34 -0.11833248 -7.5571287e-34 -1.1669588e-33 --9.341766e-34 --1.3539833e-34 --0.41522616 --2.6039188e-34 --0.092061244 -1.5044574e-34 -0.3307497 --0.043300737 -9.061225e-35 -4.2262034e-34 -3.8070405e-34 --0.28609532 -1.4689553e-34 --0.087963864 -9.457025e-34 -5.0118396e-34 -4.9122238e-34 -6.9751837e-34 -0.32577363 -9.597449e-34 -2.1182114e-34 --6.307798e-34 --5.445228e-34 --4.983696e-34 --2.8157592e-34 -1.0060116e-33 -5.963961e-34 --1.34642e-33 --8.301356e-35 -9.070046e-34 --2.918571e-34 --9.902236e-34 --1.0473604e-33 --1.021358e-33 -6.530106e-34 -2.9213863e-34 -8.929107e-34 -6.0911693e-34 --3.450407e-34 --3.1524352e-34 --3.573051e-34 --2.0764598e-34 --2.8640736e-34 --1.1318169e-34 -1.0768814e-34 --8.981414e-34 --6.5009843e-34 --1.0213959e-33 --8.466292e-34 --1.6607871e-34 -7.3442224e-34 --1.8708383e-34 --1.1088409e-33 --7.3507046e-34 -1.22306955e-33 --3.8407974e-34 -5.985867e-34 --5.1442865e-34 --6.7661193e-34 --1.0387256e-33 -4.3969715e-34 --6.3268045e-34 --2.2009433e-34 --2.7564484e-34 -5.303272e-34 --9.786935e-34 --2.3178985e-34 -9.233051e-34 --0.12606229 --2.3304892e-34 --0.3951851 -0.051980544 -1.8256419e-34 -5.890654e-34 --3.2449157e-34 -0.1412117 -4.6635387e-34 --0.016095402 -1.0051559e-33 --6.7369524e-34 -4.3915257e-34 -1.0179795e-34 --0.003268972 --5.4500106e-34 -0.27526337 --3.6065902e-34 -0.049809434 -0.11809355 -3.925161e-34 -1.0577122e-34 -4.1341723e-34 --0.14566551 -2.2277863e-34 -0.01984245 --6.2857205e-34 --5.1526987e-34 --8.4364495e-34 -8.436443e-34 -0.022131797 -1.0712541e-33 -1.537995e-34 --8.744392e-34 --1.9466918e-11 --1.0951631e-34 -3.3210948e-34 --2.995855e-07 -1.1588464e-33 --1.011601e-34 -8.994621e-34 -3.044118e-34 -4.4088256e-34 -4.568779e-34 -1.0362478e-33 --1.2188749e-34 -4.9197547e-34 --4.5374224e-34 --2.5980542e-08 --8.15104e-34 -2.5354003e-12 -9.465747e-09 -3.5339034e-34 -6.177408e-12 --1.059566e-33 --7.324755e-26 --6.3887544e-34 -7.514544e-09 -6.6696893e-34 --1.1298132e-33 -1.0507775e-33 -8.171074e-34 --6.182728e-09 --2.6561645e-34 --1.5751303e-34 --8.398076e-34 -5.2225e-34 --1.1311272e-34 --3.168195e-34 -5.521752e-34 -3.534361e-34 --9.494631e-34 --8.221112e-34 --8.575696e-34 -1.8963501e-34 -6.366961e-34 -1.0908294e-33 -3.6519e-34 --3.154554e-34 -9.950386e-34 -3.13198e-34 --1.3607197e-34 --7.7290425e-34 -6.9817853e-34 --6.051949e-34 --7.874065e-34 -4.7593636e-34 --1.5095942e-35 --5.035702e-34 --8.180511e-34 -6.9672436e-34 --7.3173164e-34 -4.882773e-34 -4.9279956e-34 --1.0756721e-33 -5.0180127e-34 --7.980229e-34 --7.1449164e-34 --4.1880765e-34 -9.326615e-34 --7.4800067e-34 --7.0604893e-34 -4.1463974e-34 -5.7130155e-34 -5.245884e-34 -9.577349e-34 --2.402458e-34 -1.0298474e-34 -4.3529245e-35 -9.389327e-34 -7.789279e-34 -9.387645e-35 -1.0223524e-33 -1.1036588e-33 -9.815584e-34 -1.9628992e-34 -8.585135e-34 -8.047875e-34 --8.804207e-34 -8.307042e-34 -5.4764225e-34 -3.4756466e-34 --1.0629364e-33 --8.754494e-36 --1.0642057e-33 --1.3486447e-34 --1.0245403e-33 -3.61248e-35 --8.416113e-34 -4.1826233e-34 -9.311385e-34 --3.2662213e-34 -4.83049e-34 -1.1730846e-34 --3.6397112e-34 --1.08784655e-33 --3.5893612e-34 --8.600504e-34 --6.25691e-34 --9.211884e-34 -8.580035e-34 -1.9101372e-34 --7.809176e-34 --6.9202234e-34 --1.5065374e-34 -9.312075e-34 --2.818424e-34 --1.0781355e-33 -7.797069e-34 -2.194523e-34 -3.850633e-34 -1.0336359e-33 -1.1970092e-33 -4.214206e-34 -1.1571434e-33 --3.707241e-34 --1.0559657e-33 --1.0574953e-33 --8.242451e-34 -5.99741e-34 --2.937879e-34 --2.3873537e-34 --7.9298105e-34 -1.3238119e-34 --1.1128769e-33 --5.122368e-34 -4.381486e-34 -3.4166556e-34 -7.4339503e-34 -1.0727097e-33 --6.3102323e-34 --5.824047e-34 -8.125498e-34 --9.33363e-34 --6.199245e-34 --2.250516e-34 --0.20058016 --4.3310984e-34 --0.062228885 -0.12134004 --4.383424e-34 -2.068869e-34 --9.78494e-34 -0.12390586 -5.663213e-34 -0.3039958 -7.739247e-34 -2.2499382e-34 --6.000101e-34 -1.03108395e-33 --0.47196412 -1.0710478e-33 --0.04271961 --6.7605894e-34 -0.3199494 -0.064234644 --1.0025246e-33 -4.52951e-34 -5.1448656e-34 --0.20307168 -4.6939363e-34 --0.006826334 -2.394511e-34 --2.362656e-34 --4.4874465e-34 --5.886061e-34 -0.038103517 -4.72064e-34 --1.1389835e-33 --8.955928e-34 --1.1731434e-34 -7.25457e-34 --3.1035041e-34 --1.4025705e-34 --3.1541064e-34 --1.1342639e-33 --1.176333e-33 -9.244473e-34 --8.576857e-34 -2.071161e-34 --1.0014211e-33 --6.204972e-34 -8.911952e-34 --7.09643e-34 -0.0002729709 -7.8942215e-34 -3.1055824e-05 --1.3145537e-11 --4.9324625e-34 -4.7441106e-34 -1.1900536e-33 -1.7907341e-34 --9.8772015e-34 --7.0132455e-10 --7.869152e-34 -1.1621944e-33 --1.06982365e-33 --2.4556187e-34 --4.129873e-10 --4.1939884e-34 -6.8015866e-34 --9.764145e-34 -8.7886365e-05 -8.524652e-34 -8.827827e-34 --4.34217e-05 -3.907237e-34 -5.295845e-10 --4.876643e-34 --1.0587531e-33 --8.1629726e-35 --3.6853713e-34 --9.871846e-34 --1.1896683e-33 --2.0100988e-34 -5.679577e-34 --0.04612164 -1.2850174e-35 --0.5109035 -0.11677455 --1.0565719e-33 -6.467886e-34 -1.1143414e-33 -0.07435671 -5.170814e-34 --0.19259557 -3.6054946e-35 -2.6459496e-34 -4.999435e-34 --3.5166424e-34 --0.26723808 -4.818159e-34 -0.11576302 -5.0917713e-34 -0.043534312 -0.013470745 --4.2426236e-34 -6.054678e-34 --1.56266e-34 -0.029609589 -1.5583262e-34 --0.05700511 -5.9235856e-34 -3.3811993e-36 --1.5084283e-34 -2.9486853e-34 -0.009809845 -5.6879155e-34 -9.952646e-34 --5.248576e-34 --1.1685119e-33 --7.971009e-34 --3.2128759e-34 -5.0801633e-34 -1.146956e-34 --4.861492e-34 -9.814024e-34 -3.197139e-34 -3.4213408e-34 -2.0040627e-34 --8.662203e-34 --6.896414e-34 -6.63712e-05 -1.9309286e-34 -3.3846476e-07 --6.4677214e-34 --1.8119778e-08 --5.8568423e-07 -9.901292e-34 -1.6392965e-09 --1.0711306e-33 --3.1882462e-11 -5.8279743e-34 --5.290302e-08 -1.0145936e-33 -3.0294675e-34 -5.6372595e-34 --2.9689651e-34 -6.8297226e-08 -1.1475428e-33 --5.9651646e-34 -6.785474e-34 --7.774194e-34 -2.5617723e-34 -5.3421333e-34 -1.1391682e-33 -2.3253937e-34 --3.0576197e-34 -8.654446e-34 -3.6046447e-34 -1.1075706e-33 -1.0895372e-33 -1.09425015e-33 --9.0863665e-34 --1.0887004e-33 -1.1394813e-34 -6.402639e-34 -2.1397544e-34 --7.863822e-34 --8.0157805e-34 --2.7139276e-34 --3.9742435e-34 -3.5885827e-34 -1.1128552e-33 --4.87738e-34 --1.0172335e-33 --1.8256102e-34 --4.781735e-34 --3.2746214e-34 --8.8329693e-35 -1.8164565e-34 --2.3966787e-34 --2.6521462e-34 -6.458762e-34 --4.298212e-34 --3.7855602e-34 --6.517558e-34 --6.80423e-34 -9.776243e-34 -2.4991097e-34 --8.35906e-35 --6.717981e-34 --9.324025e-34 --2.452649e-34 -7.5819386e-34 -2.4783898e-35 --8.586902e-34 --2.014349e-05 --1.1848278e-33 --1.1095994e-33 --2.2527908e-34 --3.4672234e-34 -1.9321637e-35 --2.4832208e-34 -6.1258537e-34 -1.1038803e-33 --1.18723405e-33 --6.917784e-35 --1.0850893e-33 -3.8059697e-34 --8.642532e-34 -4.822958e-34 -3.6308394e-34 --8.08287e-34 -2.3116203e-11 -1.2152811e-33 --5.155627e-09 -8.8059955e-34 --2.670028e-34 -8.21074e-34 -8.287378e-34 --1.2416512e-33 -2.1964355e-34 -4.6058514e-34 -8.526376e-34 --9.381022e-34 -6.559029e-35 --5.3877195e-34 --6.525169e-34 -1.9690326e-06 -9.525134e-34 --8.816443e-34 --7.3825686e-06 --8.012346e-34 --1.1375259e-34 -2.9272675e-34 --5.890935e-35 -1.0817061e-33 --8.4487995e-34 -3.651225e-34 --8.94819e-34 --6.8562655e-34 --5.2177255e-34 --1.0462271e-33 --8.906368e-34 -3.9725363e-34 --1.10984005e-33 --8.269674e-34 -2.3314863e-12 -5.760014e-36 --1.0344674e-33 -3.5370574e-06 --1.084237e-34 -1.2742271e-33 -4.211937e-34 -5.9644583e-35 --7.527423e-34 --7.4762194e-34 --1.2109994e-33 -1.2553343e-34 --1.13524065e-33 --5.0353444e-34 --0.28322878 -1.0503995e-33 -0.027951246 -0.068755746 --5.7513587e-34 -1.2607361e-33 --2.8186757e-34 -0.078754835 -5.3725776e-34 --0.053283352 -5.6848105e-34 -9.0836515e-35 -4.565177e-34 -1.1417395e-34 --0.1468862 --4.1164122e-34 -0.054930303 --2.8615757e-34 -0.26640767 --0.03692301 -8.508853e-34 --1.2347575e-33 --6.522306e-35 --0.14839359 --3.0845827e-35 --0.011278318 -6.4886875e-35 --3.6721364e-34 --6.8649173e-34 --3.4623318e-34 --0.045989946 --8.130742e-34 --1.3653514e-33 -1.0908041e-34 --5.443832e-34 -8.664973e-35 -6.8601405e-34 --7.403851e-34 -1.0260063e-33 --7.3454376e-06 -2.2987244e-34 -9.028561e-34 -2.866248e-34 -1.1911815e-33 --9.397292e-35 -4.750782e-34 --3.387569e-34 -1.0125282e-33 -8.373536e-13 -9.690129e-34 -1.5851475e-11 --0.0002732425 --4.0497633e-11 --1.5614973e-35 --4.2407208e-34 --1.1728142e-33 --6.6515554e-34 --7.176568e-10 -5.2794886e-34 -1.8920696e-06 -4.297793e-34 --7.1335536e-34 --1.1836335e-13 -7.206177e-34 -6.785696e-34 --1.0851413e-33 -3.8084612e-34 --3.3465608e-34 -5.930007e-34 -6.183938e-34 -8.425321e-34 -5.8951464e-34 --9.7779815e-34 -8.459704e-34 -4.340994e-34 -7.3509356e-35 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-3.546182e-34 --9.368203e-35 -1.0794055e-33 -4.36933e-34 --7.9332426e-35 -1.1959009e-33 --6.726748e-34 --6.0116397e-34 --3.810505e-34 --3.6000892e-34 -8.594953e-34 -1.1258014e-33 --7.365207e-34 --9.521851e-35 -2.4777142e-35 -4.687811e-34 --5.9586103e-34 --5.0578923e-34 -1.12029415e-33 -6.9889017e-34 -5.5767606e-34 -4.2620208e-08 -7.869228e-34 -7.2286662e-34 --4.9858593e-35 -7.8016274e-35 --8.99788e-34 -7.827769e-34 --2.5170449e-11 --3.4023899e-34 -4.6617483e-09 --3.4954707e-34 -9.680403e-34 -1.1348509e-33 --9.389373e-34 --2.00875e-35 -6.195208e-34 -0.00043523347 --1.7880004e-35 -0.0004916758 -5.24726e-35 -2.991692e-34 --9.1446236e-07 --7.751489e-34 -6.5415324e-34 --6.3266575e-35 --4.1390426e-06 --7.973297e-34 --8.487187e-34 --2.0457753e-34 --7.9629544e-08 -1.3881912e-33 -7.10913e-34 -1.3480922e-33 --1.1187781e-33 --1.2042558e-33 -8.277405e-34 --3.4701287e-34 -1.7973162e-34 -4.2020534e-34 --6.59368e-08 -1.4660527e-35 -1.1146476e-33 --6.2260967e-34 -7.988733e-35 --1.0240117e-33 --5.530671e-34 -1.7549396e-34 -1.1704353e-33 --2.2049335e-34 -2.5347185e-34 --7.4393217e-34 -0.0002966536 -7.6421937e-34 -1.1742601e-34 -1.1519903e-33 -6.9055297e-34 --5.199017e-34 -9.820425e-34 -9.07298e-34 -1.2192393e-34 -7.610786e-34 --1.1280643e-33 --4.779507e-10 --1.7936248e-34 -1.0826773e-33 --7.4224828e-34 --5.122393e-34 --1.180762e-33 -2.749452e-34 --4.4954137e-34 -1.0533185e-34 -3.0985053e-10 --9.953885e-34 -4.0733598e-34 -5.098682e-34 -2.4358677e-34 --1.9538222e-34 -7.764388e-34 -2.704783e-34 -5.006631e-34 --0.05490659 -1.0915291e-33 -0.117328815 -0.18729268 -6.741178e-34 -4.8865594e-34 -2.9161744e-34 --0.02048825 -3.098138e-34 -0.01072118 --6.3486306e-34 -1.0574894e-33 -6.7101754e-34 --2.8977102e-34 -0.058507815 --3.2981339e-34 -0.03087163 --5.4733547e-34 -0.007643743 --0.24731708 --1.782876e-35 -6.6348474e-34 -5.992434e-34 --0.10868446 --3.0957998e-34 --0.17558205 -5.521703e-34 --4.2675344e-34 --1.18506765e-33 --1.358247e-34 --0.07209971 --7.384251e-34 -2.82911e-34 --9.575098e-34 --4.3604334e-34 -6.7035013e-34 -5.768198e-34 -9.235606e-34 -1.0823392e-33 --5.8982137e-34 --7.3123784e-34 --1.1305552e-33 -2.5698384e-35 -9.672869e-34 --2.090116e-34 -2.7579646e-34 --1.0112602e-34 -1.1381871e-33 --9.327351e-34 -4.4628084e-34 --5.707448e-34 --1.0917402e-33 -7.5519047e-34 --7.551531e-34 --5.5093877e-34 --4.933526e-34 -1.0471452e-33 -1.3450798e-34 --6.7574344e-34 -6.1991923e-09 --4.5394506e-34 --9.417275e-34 -4.495648e-34 --1.10192255e-33 --2.9406883e-12 --8.034491e-34 -1.0776084e-10 -4.2724224e-34 --4.1721454e-34 --4.169981e-12 -4.9068725e-34 --2.2439557e-09 --1.8913289e-34 -9.012442e-34 --2.2115923e-34 --6.436088e-34 -4.06476e-34 -1.3822695e-34 -1.4534216e-34 -7.4115167e-34 -0.0832887 --2.4570406e-34 --0.028105361 -0.009810147 --9.292871e-34 -2.6923307e-34 --1.0707522e-33 -0.029394718 --1.1635055e-33 -0.06577359 -1.0669542e-33 --3.1596464e-34 --8.329551e-34 --8.513883e-35 --0.04188175 --2.3758043e-34 -0.16823113 -6.620127e-34 --0.14431192 -0.19556028 --3.517171e-35 --1.36766e-34 --1.6041152e-34 --0.13194525 --4.9642366e-34 --0.16175975 --8.752428e-34 -6.2973354e-34 -2.6870331e-34 -3.7304857e-34 --0.04375739 --6.214004e-34 -9.266753e-34 -1.7615012e-34 --1.3644018e-05 --4.280886e-34 --9.853471e-34 --7.917018e-14 --7.8375833e-35 --2.0100806e-34 --4.77972e-34 --1.2582477e-33 -5.947202e-34 -3.7440625e-34 -1.1594661e-33 -8.422906e-34 -3.5003606e-05 --3.8354108e-34 -5.1317883e-10 -8.1176205e-34 --0.00035634977 -9.205974e-05 -7.66102e-34 -2.5929936e-34 --1.1147448e-33 -0.00026068042 --3.182448e-34 --4.216178e-06 -1.9712416e-34 --3.1763198e-34 -1.0731639e-33 --7.335104e-35 --2.5503849e-15 -9.531946e-34 -9.529512e-34 --3.782443e-34 -2.966663e-12 -9.841659e-34 -8.054618e-35 -2.1853106e-05 -1.0327047e-34 -6.02899e-12 -1.5208262e-35 --1.047443e-33 --7.067738e-34 --1.9210402e-35 --9.0971324e-36 -4.8457854e-34 -1.98726e-08 -1.0998566e-33 --3.964252e-34 -9.984831e-34 -7.896765e-34 -3.099999e-34 --3.741121e-34 -1.6501141e-34 -5.545525e-34 --6.4021537e-34 --4.5450002e-34 --1.6814756e-34 -3.7179908e-34 --8.582517e-34 -2.556535e-35 --4.142823e-34 -5.8769244e-34 --2.674877e-34 -9.411429e-34 --1.360716e-34 -1.163745e-33 --1.0995617e-33 -8.268697e-34 -8.521643e-35 -1.3919497e-34 -1.1522213e-33 --1.7461406e-34 -5.283064e-34 -6.224722e-34 --8.203356e-34 -1.0973292e-33 -4.089401e-34 -8.340454e-34 -6.801245e-35 -1.3910565e-33 -8.992532e-34 --5.257854e-34 -8.347502e-09 --1.18482484e-35 --2.1109037e-07 --1.121181e-33 --7.3860213e-34 --1.099506e-33 --1.0560142e-33 --1.0650684e-33 --1.2143709e-33 --1.178605e-33 --2.262283e-34 -5.7199555e-35 --6.7565894e-35 --4.5653262e-35 --1.2107544e-33 -1.3309145e-13 -6.9686834e-09 --1.1690756e-33 --1.2151165e-33 --9.842261e-34 --6.39903e-07 -7.186487e-34 --1.2867571e-33 -7.575418e-35 --2.373549e-34 --6.5160113e-34 --7.735505e-34 -1.3202292e-05 --4.3242176e-34 -4.328802e-34 --5.814672e-13 -2.236143e-08 --4.127484e-34 -2.4769943e-34 --1.0556615e-33 --7.877076e-34 -1.0008703e-33 --4.2113995e-34 --5.109514e-34 -1.03694765e-33 -1.088402e-33 -1.0460959e-33 --3.8512758e-34 --8.544474e-34 --5.8193808e-34 -9.7689e-34 -2.710099e-34 --9.994993e-34 -8.714792e-34 --3.4093891e-34 -1.2142622e-33 -8.838996e-34 --1.2499707e-33 --8.35119e-34 --3.604007e-34 --1.6993856e-34 --7.1925377e-34 -9.786846e-34 --1.4024963e-34 -6.073079e-35 -6.4232033e-34 -0.1341402 -6.2303014e-34 --0.0025531375 -0.13878818 --6.162384e-34 -7.599939e-34 -6.871694e-36 --0.0017160008 --4.7188986e-34 --0.06512908 --5.9752504e-34 -2.3762187e-34 -6.762951e-34 -4.166645e-34 -0.14148878 -2.5435907e-36 -0.02937132 -8.996164e-34 -0.07601844 --0.3380806 --1.7352087e-35 -6.595055e-34 -5.277301e-34 --0.110356726 --4.310915e-34 -0.032415457 -8.393125e-34 -9.903714e-34 -5.098097e-34 --8.819844e-34 --0.119028434 -1.9807787e-34 --1.05595245e-33 --6.557725e-34 -3.9852087e-34 --1.9598262e-34 --1.411149e-34 -7.80257e-34 -1.0514642e-33 --7.090088e-34 -7.3782405e-35 -8.091574e-34 --1.0387161e-33 -1.0333183e-34 -1.11006165e-33 --5.8796517e-35 -1.0492845e-33 -2.7403381e-34 -2.6213176e-08 -1.5388103e-34 -1.0428369e-33 --1.8269293e-06 --1.056959e-33 -1.8193399e-34 -5.609143e-34 --8.005866e-34 -7.945354e-34 -1.1049087e-34 -1.0141648e-33 -2.587399e-34 -9.436266e-34 -6.8103514e-34 -1.4994018e-34 -4.0312357e-34 --1.7521331e-34 --3.4798706e-34 --2.1752455e-10 --8.208841e-34 --8.662216e-34 -1.0531783e-33 -8.964022e-34 --7.2129913e-34 -1.0736212e-33 -7.508081e-34 -1.1414387e-33 --3.848315e-34 --1.9074751e-34 --7.730391e-36 -6.643839e-36 -9.973741e-34 --0.071322285 --4.9885005e-34 -0.061883282 --0.006631484 --5.647004e-34 --2.9166552e-34 --1.491379e-34 -0.15680952 -2.6977143e-34 -0.0040297774 --9.007956e-34 --1.7738661e-34 -3.9936507e-34 --7.5167335e-34 --0.05107276 --1.1953096e-33 --0.026977373 -7.1280756e-34 --0.09467037 -0.041931823 --8.9151475e-34 -7.8652235e-34 --7.0154114e-34 -0.081216514 --9.626121e-34 --0.13595758 -1.076708e-33 -2.915767e-34 -3.9522765e-34 -6.4092663e-34 --0.115668885 -3.048391e-34 --6.760993e-11 --6.7639837e-34 -2.0409815e-34 --9.4524715e-34 -6.599542e-34 -9.685368e-34 -7.192831e-34 --8.673664e-34 -8.5295385e-34 -7.737427e-34 -3.6429424e-34 -2.6762462e-34 --2.1743845e-34 --6.5214673e-34 --4.897461e-34 -5.375753e-34 --0.0058840094 --8.776198e-34 -2.7855938e-06 -2.7835085e-05 -1.4387867e-35 --3.9291945e-11 --8.955514e-34 -0.002044273 -3.6628631e-34 --4.198897e-05 -1.7797251e-34 -9.6738575e-34 -3.8392417e-34 --7.0175837e-34 --1.1175509e-05 -2.4358006e-34 -8.405754e-34 -9.777778e-34 --5.9632535e-34 --1.2149676e-33 --4.6871092e-34 -0.00020184001 --3.0919303e-34 --3.8738122e-34 -6.593754e-36 --1.25764965e-33 --5.5678447e-34 -7.127927e-35 --9.812108e-35 --3.8442853e-34 --2.9624662e-34 --1.8136845e-35 --5.6104316e-34 --8.045624e-34 --5.3449434e-34 --9.37321e-34 -1.8628711e-34 --5.768681e-34 --1.0403555e-33 -9.727069e-35 --5.613668e-34 -1.0421422e-34 --6.095874e-34 -2.6462759e-34 -7.1354077e-34 -1.1316601e-34 --1.1237777e-33 -5.914768e-34 -2.2881264e-34 -2.816248e-34 -1.264541e-33 --1.0637283e-33 -1.1505528e-33 -5.6411827e-34 -5.7827687e-35 --1.3666003e-33 --6.2949013e-34 --5.061611e-35 -8.078724e-34 --5.599112e-34 --6.1505744e-34 --6.4816455e-34 -6.9296136e-34 -1.2087961e-33 -5.9846034e-34 --1.1901337e-33 -3.958477e-34 -1.0275202e-33 --7.5741454e-34 --1.5240587e-08 -5.3187483e-34 --3.2151438e-06 -9.912224e-34 -1.0314092e-05 --3.3101994e-34 -1.0138213e-33 -3.950124e-34 -6.7499983e-09 -8.300606e-34 --1.0815485e-33 -2.842439e-12 --1.2096234e-33 -4.366482e-08 -1.4853811e-33 --2.8951324e-34 --6.7264174e-35 -9.152296e-34 --5.218018e-12 -6.5672486e-34 --9.928828e-34 -7.0156694e-34 -7.723603e-34 -4.425108e-34 -7.2211862e-34 --1.7492377e-05 -1.1759469e-33 --8.703184e-34 --6.0219106e-34 -3.5024442e-34 --1.1053114e-11 --1.1715594e-33 -3.048238e-05 -1.0731272e-34 --1.15575205e-07 --1.1721508e-33 --5.7730364e-34 --1.1244235e-33 --8.864197e-34 -4.4128113e-34 --3.6807942e-34 --1.1181097e-33 --1.1996395e-34 --1.3818377e-34 --4.0988143e-34 --1.0943e-33 -3.3706235e-34 --8.539338e-34 -0.00052169745 -1.0111661e-33 -1.4968451e-34 --3.0607026e-34 --7.439645e-34 --1.1197295e-34 --9.009006e-34 -1.1645551e-33 -1.1849508e-33 --4.5227796e-07 -2.174278e-34 -0.012400134 --9.103743e-34 -0.2706466 --0.19387579 -8.556025e-34 --1.395368e-35 -1.145614e-33 -0.07166948 --6.2615544e-34 --0.030208284 -5.147538e-34 -1.1463822e-33 --6.34139e-34 -7.45168e-34 --0.06949456 --2.157994e-34 --0.05187832 -6.9303395e-34 --0.071115 --0.4863406 -5.2836487e-34 -3.7895275e-34 -7.47889e-34 -0.039065663 -1.0617281e-33 --0.0019418355 -6.9017186e-34 -5.2716752e-34 --2.2340243e-34 --7.0635276e-34 --0.042883623 --2.6586822e-34 --8.437981e-35 -1.189079e-33 -5.898047e-07 --1.1409422e-33 --4.0706965e-34 --1.0665063e-33 -5.788668e-34 --1.2007032e-33 --1.2789266e-34 -2.4664443e-34 --8.343304e-34 --1.0755939e-33 --4.965971e-35 -9.520028e-34 --3.8148913e-35 -1.0772715e-33 -5.807812e-34 -7.5031804e-34 --9.103419e-34 --6.703505e-34 --5.2328747e-34 -1.050116e-33 --8.527932e-34 -5.1943534e-35 --3.4491502e-34 -2.5263956e-34 --4.945015e-34 --6.52975e-34 --6.3694455e-34 --1.039535e-33 -6.713602e-34 --6.08769e-34 -4.3686403e-34 --6.6881886e-35 -1.05239015e-33 --2.8069042e-34 --9.047721e-34 -8.94895e-34 --8.744192e-34 -1.192092e-33 -3.6105748e-34 --8.859818e-34 -1.1348881e-33 --4.9797063e-34 -6.2850652e-34 -5.9502505e-34 -8.644997e-34 --3.0872509e-34 --0.071025245 -8.5979445e-35 --0.011766596 --0.030311923 -1.7439129e-34 --4.475403e-34 --2.5566814e-34 -0.0404479 -1.1445913e-33 --0.0028545985 --4.7868504e-34 --1.1042212e-34 --1.1748614e-33 -1.8115701e-34 --0.030604627 -5.2867147e-34 -0.106633686 -1.4200936e-34 --0.102241926 -0.18108761 --2.6768486e-34 -8.710426e-34 -1.0019201e-33 --0.043184046 --4.7323075e-34 --0.088333845 --9.438108e-34 -4.254889e-34 --7.574071e-34 -6.830591e-34 --0.12352737 --4.004354e-34 --0.00015553088 -1.2603531e-34 --4.57375e-05 --1.2399555e-33 --7.634836e-36 --1.6012553e-05 --9.099091e-34 --1.8614305e-11 -4.525781e-34 --3.0475573e-34 --9.428282e-35 --7.011223e-34 -8.832112e-34 -1.1403865e-33 -1.0921457e-12 --1.1636623e-34 -4.629309e-06 --7.596635e-34 -1.0348576e-05 --1.8961221e-06 --6.4293443e-34 -2.4167633e-08 --3.4099266e-34 -4.725334e-14 -6.584223e-34 --4.311449e-05 --9.651632e-34 --8.031039e-34 --9.351682e-34 --8.547579e-34 -1.812937e-07 -4.1075314e-35 -5.4351865e-34 --4.725646e-34 -1.3425816e-09 -8.420705e-34 -8.911776e-34 -1.004551e-06 --3.4684522e-34 --3.0734936e-06 -9.633953e-34 --3.2659641e-34 --6.7246643e-34 -3.3707698e-34 --1.205981e-34 --1.8912715e-34 -8.829708e-34 -5.247619e-35 --7.750541e-34 -2.1755925e-34 --1.4007984e-33 -5.9151794e-35 -1.5226619e-34 -8.455623e-34 -7.110471e-34 -7.227439e-34 --4.770978e-34 --8.6133825e-34 -5.990738e-34 -9.042692e-34 -2.542686e-35 -8.347771e-34 -3.1647899e-34 --1.8591187e-34 --6.130466e-34 --5.161008e-34 --4.6738096e-34 -5.991886e-34 --2.313889e-34 --4.417001e-34 --1.2496368e-34 -7.927986e-34 -1.1079085e-34 -2.5459522e-34 --4.495971e-34 -1.1224022e-33 --1.1962621e-33 -4.5123844e-34 -1.0908661e-34 --1.1053835e-33 -4.201922e-34 --9.512468e-34 --1.9099579e-34 --8.309452e-34 --1.8749392e-34 --1.0404418e-33 -8.994413e-34 -7.587299e-12 --4.315475e-34 --1.8725491e-06 -7.297928e-34 --1.2332736e-34 --9.232046e-34 --1.1742145e-33 -3.123294e-12 --1.5616175e-34 --3.5836795e-11 -1.3263948e-34 -8.695039e-06 --1.1227705e-33 --4.602141e-34 -1.0033343e-33 --4.5665458e-34 --4.8741133e-11 -5.412266e-34 -1.1723499e-33 --6.8867634e-35 -1.0338616e-33 --4.391985e-34 --6.2952953e-34 --1.5153885e-34 -1.1829848e-33 -4.595801e-34 --9.831747e-34 --4.6321025e-34 -8.620179e-34 --5.063038e-34 --1.6182129e-11 --5.8304814e-34 --2.479694e-11 --7.922979e-34 --1.0793235e-33 --6.385594e-34 --8.900226e-34 -3.2878136e-34 --2.4872873e-34 -4.8680013e-34 -8.000245e-34 --1.1201715e-33 -3.9857634e-34 --1.7782144e-34 -1.1128067e-33 --5.9710925e-34 --3.8148826e-09 -9.86878e-36 --9.037847e-34 --8.694206e-34 --1.0872588e-33 --2.5246019e-34 -1.4801802e-34 -7.746866e-34 --5.8334242e-34 --6.0404866e-35 --6.822458e-34 -0.10251281 -6.337774e-36 -0.10618078 --0.0009246803 --8.434062e-34 --7.508895e-34 -6.23307e-34 -0.04737108 -3.5798615e-34 --0.11795565 -4.619346e-35 --3.7026024e-34 --9.802637e-34 --4.153973e-34 -0.039984427 --3.2856904e-34 --0.028274484 --4.4508955e-34 --0.2364937 --0.3795347 -2.4169252e-34 -1.1534133e-33 --2.5386545e-35 -0.1814806 --1.0783779e-33 -0.13857566 -6.991223e-34 -1.0242043e-33 --3.932273e-34 --5.361787e-34 -0.14681025 --9.1761945e-34 --2.8513342e-34 -6.993439e-34 --9.280734e-34 --2.214006e-34 -1.0353899e-33 --7.0978186e-34 --1.0746952e-33 -1.1611558e-33 --3.6292665e-34 -1.1034812e-34 -2.6569506e-34 -7.6557445e-34 -5.481637e-34 -1.6216988e-34 -3.8169188e-34 -0.00032846944 --8.839941e-34 -8.189904e-34 -1.1789624e-33 --8.504937e-34 -7.453516e-34 --4.2306274e-05 --1.1386676e-33 -5.404791e-34 -5.7872397e-34 -1.2060603e-09 --2.494715e-34 -2.0666366e-34 --3.9080963e-34 --4.49957e-34 --8.564637e-34 --1.0733806e-33 -7.754237e-34 -7.755801e-34 --4.0107193e-12 -8.2890425e-34 -1.12925e-33 --9.51701e-10 --1.1014154e-33 --0.000402419 --2.0045055e-34 --1.027295e-33 --4.337317e-35 -9.864739e-34 --1.124269e-34 --3.206891e-35 -1.2102361e-33 -1.567722e-34 -0.06488673 -3.7398596e-34 --0.033629283 -0.080340005 -6.059564e-34 --8.709048e-34 --2.336722e-35 -0.2926439 --8.186743e-34 --0.16618034 -8.273977e-34 --6.346899e-34 -8.5065815e-34 --7.0056203e-34 -0.041126534 --4.751831e-34 -0.12670496 --1.0992937e-33 -0.15614799 -0.18593061 --1.2152584e-33 -6.548276e-34 --1.5072912e-34 --0.33778512 --1.1248359e-33 --0.001052883 -5.119178e-34 --5.948153e-34 --5.62225e-34 -6.1351227e-34 --0.09369392 --8.261294e-34 --9.887511e-34 -4.2268205e-34 --1.5846855e-09 --4.221744e-34 --6.922435e-34 --1.5808164e-11 --9.609041e-34 --5.79266e-34 --7.487221e-34 -2.6467137e-34 -5.9338753e-34 -2.9148715e-34 --1.1819008e-33 --9.674673e-34 -5.2269826e-34 -5.017911e-35 -1.3278793e-25 --9.616205e-34 --4.4577e-09 --1.729217e-09 --5.4333406e-34 --1.360548e-33 --1.1286661e-33 -4.687651e-16 --5.880335e-34 -5.2084156e-27 -3.5922396e-35 -1.4537183e-34 -1.1002627e-33 --6.5560456e-34 --1.1359447e-28 -9.303418e-34 --1.5017528e-34 --3.1715632e-34 -6.8699726e-09 --5.3234266e-12 --5.2415725e-34 -8.4342394e-11 -6.6377705e-34 --1.1645505e-33 -8.650812e-35 -1.4725638e-34 -2.4619795e-34 --1.1688052e-33 --8.701026e-34 -1.0125207e-33 --1.1431714e-33 --2.5409858e-34 --7.97737e-34 -1.2521178e-34 -1.3693405e-07 --1.1949706e-33 --1.0654189e-33 -7.72837e-34 -8.804921e-34 --9.821964e-34 --5.762184e-35 --4.127796e-34 -6.9261936e-34 -3.3042802e-34 -2.5396565e-34 --7.300718e-34 --7.225666e-34 --8.491139e-34 --8.010911e-34 -4.7298072e-34 --4.2189406e-34 --8.813833e-34 -5.323467e-34 --2.2756257e-34 --2.2291313e-34 -6.754636e-34 --4.6763966e-34 --1.2781669e-34 --9.202712e-34 --1.1685048e-33 --6.3022545e-34 --3.4820742e-34 --3.2083718e-34 -1.0410766e-33 -5.9747255e-35 -1.1937446e-33 -1.298758e-09 --1.0031081e-33 -1.716732e-06 --1.2535325e-33 --2.6803108e-34 -1.3257431e-33 -9.391877e-34 -1.14847005e-07 -2.9588999e-05 --6.4920496e-34 -2.7415173e-34 --1.0930988e-33 --2.6291558e-10 --9.02223e-34 -8.8210125e-34 -1.12735005e-33 --1.5673138e-09 -1.187809e-10 --1.8117307e-34 --3.8126122e-34 --9.166079e-34 -7.563072e-07 -1.1180646e-34 --9.06384e-34 --5.902042e-34 --1.2689777e-34 --7.6877716e-34 -7.4743537e-34 --4.1525655e-05 -7.3284285e-34 --6.586809e-36 -2.7877675e-34 -8.271094e-34 -8.282459e-34 -7.878795e-34 --2.77611e-34 --1.16006305e-33 -3.7767127e-34 -1.5185091e-34 -4.3985607e-34 -3.936525e-34 --2.8373642e-34 --7.4590847e-34 --1.9858875e-34 --3.6107899e-34 -1.1236027e-34 --9.858036e-34 --1.1820973e-35 -6.929749e-34 --2.9484043e-34 --8.036047e-34 -1.0648715e-33 --9.336882e-34 -6.88634e-35 -3.3241107e-34 --7.0674605e-34 --6.1687317e-34 -9.416258e-34 --1.1047636e-33 -8.898484e-34 -1.011867e-33 --4.4570443e-34 -0.05860735 -1.0147798e-33 -0.14877324 -0.08694012 --1.0363958e-33 -6.3976473e-34 --3.5267574e-35 --0.08014011 -4.792416e-34 --0.11663876 --9.480729e-35 -6.6166763e-34 --1.0690849e-33 --5.832879e-34 -0.011964641 -6.0390738e-34 -0.12747434 --1.1765479e-33 --0.091150165 --0.34306836 --8.983699e-34 -1.118069e-33 --1.8430833e-35 -0.12613137 --3.8462864e-34 -0.065945745 -6.226609e-34 --3.546647e-34 -2.8059225e-34 -1.7855911e-34 -0.17128658 --7.351319e-34 --5.561499e-34 --9.384486e-34 -6.3019134e-34 --5.8963834e-34 --9.5207585e-34 --2.879109e-34 -1.202979e-33 --1.5563522e-34 -4.8863413e-34 -1.5546777e-34 -8.953177e-34 -2.8563948e-34 -9.47296e-34 -3.4287751e-34 --7.970492e-35 --2.0234335e-34 --0.00012727326 --9.243266e-11 -0.00014475134 -5.9800336e-34 --1.15890225e-33 --1.9604213e-06 -3.5706456e-05 --6.950747e-11 --1.3887584e-34 -6.6403806e-11 --6.9421574e-34 --5.179048e-34 -8.330155e-34 --2.1909828e-34 --5.323084e-06 -5.703517e-34 -9.626061e-11 --6.264102e-34 --8.957342e-10 -7.117465e-34 --1.8863452e-34 --2.5083874e-34 --9.103877e-34 -8.877921e-35 --6.5581133e-34 -7.648354e-35 --1.5426359e-34 -8.603602e-34 -2.483838e-34 -3.2298884e-34 -2.4040917e-34 -6.8729773e-34 --0.042580213 -9.331522e-34 -0.06820727 -0.0005709499 -7.59277e-34 -6.3845805e-34 -6.6225487e-34 -0.0018390178 -7.007438e-34 --0.03573614 -4.476403e-34 -3.3544136e-34 --2.0636437e-34 -2.1432476e-34 -0.0072503136 -5.8671894e-34 -0.14568348 -1.1527054e-33 -0.1864797 -0.05054521 -4.7606327e-34 -3.9409986e-34 -2.940692e-35 --0.2138694 --5.0470245e-34 --0.04387919 -2.954721e-34 -4.1726835e-34 -4.345024e-34 -7.0243263e-34 --0.024949094 -1.0006737e-33 --6.6187936e-34 --5.4905468e-34 -1.2502291e-05 -1.1486343e-33 --9.333561e-34 -0.00012423802 -4.617471e-34 --8.577171e-34 --8.498382e-34 --8.5488805e-13 -4.090615e-34 -4.174424e-34 --4.8783034e-34 -1.1180033e-34 -2.3245528e-09 -5.22762e-34 -9.553784e-34 --2.3908444e-34 --1.4412593e-24 --2.8279529e-34 -6.1834823e-34 -1.1979757e-34 -9.083743e-34 --6.2771813e-18 -1.1193256e-33 -6.6709566e-34 --2.6852724e-34 -3.640237e-34 -4.1109774e-34 --9.267605e-34 -3.5340778e-34 --1.0043263e-33 --9.890106e-34 --8.85353e-34 --1.1247562e-33 --3.651292e-35 -2.797691e-34 -1.5765551e-34 -5.0359675e-34 -1.0190579e-33 --1.1821899e-33 --1.5865213e-34 --2.3254043e-34 -3.3555503e-34 -4.7052467e-34 -3.7376278e-34 -5.2948513e-34 -3.9467044e-34 --1.0137316e-33 -9.623377e-34 -7.348309e-34 -8.643513e-34 --1.2019428e-33 -1.2298404e-33 --8.728698e-34 -1.1451144e-10 -5.935645e-35 --1.31973045e-33 --4.766516e-35 -9.4575335e-34 --6.9430004e-34 -7.6575853e-34 -3.0785253e-07 --4.73953e-34 -8.5425493e-35 -4.5090834e-34 --2.9674815e-34 -8.76011e-35 -9.123673e-35 -9.797317e-34 --6.185321e-34 -5.1668085e-35 -1.8344482e-34 -3.3886462e-34 --4.4919955e-34 --4.0262022e-34 -3.6569916e-34 -1.9721416e-34 -6.926823e-34 --4.7678657e-34 -7.583768e-34 --1.0262536e-33 --1.0442528e-33 -6.8326123e-34 -1.0924427e-33 -8.676985e-34 -9.831682e-34 --1.1931415e-33 -6.749895e-06 --5.2331227e-34 -8.787588e-34 -5.289695e-34 -5.4609225e-34 -8.179766e-34 -1.0730037e-33 --1.0210751e-33 -0.00071417214 -8.544209e-34 --1.4443285e-06 -6.1719145e-12 --8.544198e-34 --6.9681836e-35 --3.2499985e-34 --1.006778e-11 --3.8728397e-34 --6.1264855e-34 -2.5071504e-34 --1.7774563e-34 --4.4200406e-34 --1.8016925e-34 -3.5000287e-09 -3.0438104e-34 -3.1331406e-34 -8.495364e-34 -3.7097628e-34 -1.0161818e-34 -8.526356e-34 -6.834697e-34 -4.8554676e-34 -8.1455385e-34 --5.4860027e-34 --6.284459e-34 --1.1463333e-33 --3.4964235e-34 -9.547863e-34 -5.1741643e-34 -3.8242762e-34 -1.1454052e-33 --4.550602e-34 -6.545247e-34 --6.8498113e-34 -6.5377175e-34 -9.414343e-34 --7.7554585e-09 -1.197214e-33 -4.613518e-05 -7.434076e-34 --9.320377e-34 -4.9458943e-34 --9.98703e-34 -9.994218e-35 --1.0291736e-33 --0.0005573877 --6.9027646e-34 -0.03805193 -1.4227843e-34 --0.033660006 -0.040412284 --1.0834849e-33 -4.390189e-34 --2.4948667e-34 -0.0004519273 -7.840119e-34 -0.05723991 -3.736366e-34 -1.0838712e-33 --1.2588029e-35 --3.5816355e-34 -0.04650741 -4.904881e-34 --0.11523382 -1.0494839e-33 --0.0394617 --0.05562283 -4.4812783e-34 --5.526701e-34 --4.47928e-34 --0.05909372 --7.375314e-34 --0.15183663 -6.2615714e-34 -1.8758374e-34 -6.2537966e-34 --7.8770783e-35 -0.27839953 -1.2032183e-33 --1.1708239e-33 --1.0106771e-33 --9.520094e-34 --8.832724e-35 --6.4301194e-35 -5.7724703e-34 -5.4594017e-34 -7.751033e-34 --8.079419e-34 --7.8003463e-35 --7.250701e-34 --6.8069494e-34 --1.06108165e-33 --8.958807e-35 -5.2651062e-34 --4.3908094e-34 --7.4974343e-10 -8.726668e-35 -1.19427875e-33 --1.00920215e-05 --1.1936383e-33 -0.0014133079 --8.652516e-34 -1.1811544e-07 -4.9484014e-34 -5.671634e-12 --2.364291e-34 --2.0122887e-07 --7.1257586e-34 -6.273323e-34 -1.11854165e-33 --8.133633e-34 --2.518115e-12 --8.94747e-34 -3.0946946e-34 -7.3455466e-34 --2.6981857e-34 -9.979649e-12 --8.579656e-34 --1.0671843e-33 --5.2476056e-34 -1.1413036e-33 --9.451716e-35 --7.355302e-34 -2.9612907e-34 -6.7139567e-34 --1.1512818e-33 -7.5010393e-34 -0.017908977 -8.9857415e-34 --0.19294265 --0.007272474 --4.068534e-34 --4.600688e-34 --3.42205e-34 -0.13716 --6.6016116e-34 --0.032005493 --4.8225234e-34 -2.9811967e-34 -1.5867691e-34 --2.3624495e-34 --0.08201304 --6.5452623e-34 -0.06425616 --7.910355e-34 -0.13217409 --0.008256517 --6.993982e-34 --3.395935e-34 -1.089009e-33 --0.05505789 -6.704875e-35 -0.0053546927 --1.6336748e-34 --6.3935872e-34 -1.0173797e-33 -2.782725e-34 --0.050293647 -3.9254013e-34 --8.154972e-34 --9.644546e-34 -7.730855e-07 -4.988504e-34 --4.483398e-34 -5.949608e-09 -7.1478505e-35 -4.4015267e-09 --6.344996e-35 --8.229829e-12 --1.6526352e-34 --8.487364e-34 --9.872561e-34 -3.5728616e-34 --4.2948804e-11 --9.5560114e-35 --6.528152e-33 -2.8251767e-34 -4.430644e-33 --4.2945415e-33 -4.9645167e-34 --1.357119e-07 --2.950049e-34 -1.058228e-10 --5.6891892e-34 -1.9334054e-34 --3.1090094e-34 -1.1518507e-33 -4.209662e-34 --7.3773456e-34 -9.13464e-33 --6.66585e-34 -1.0017627e-33 --7.2633383e-34 --9.889052e-34 --1.110376e-33 --4.66537e-34 --9.7896345e-34 --4.643441e-34 --6.9635633e-34 -2.908782e-34 --3.3117694e-34 --2.4702826e-34 -1.1776987e-33 --3.5437123e-34 -3.3656047e-34 -1.0912761e-33 -8.602409e-34 --3.5112016e-34 --8.224099e-34 -1.0712868e-34 -5.9514434e-34 -2.5980188e-34 --1.0316082e-33 -1.4245706e-35 --7.3253066e-34 --1.8954922e-34 -5.0303224e-34 --3.2319767e-34 --9.653054e-34 -3.1915351e-34 -4.70377e-34 --2.0540588e-34 --9.756019e-34 -1.0519956e-33 -4.90396e-34 -6.184333e-34 -1.0035947e-33 -1.182292e-34 -8.758507e-34 -4.0036226e-34 --1.0735133e-33 -1.3576168e-34 --8.256215e-34 --5.2854157e-34 -3.6445821e-34 --1.0271313e-33 -1.7252278e-34 -3.3340705e-34 -6.5437934e-34 -1.4156093e-10 --9.9568045e-34 -1.15033e-06 -6.000796e-34 --2.5321067e-34 --6.25291e-34 -6.445939e-09 --8.104975e-34 --6.734811e-34 -3.0814556e-34 -1.0344894e-33 -9.5691705e-34 --7.1599067e-34 -3.426793e-07 --2.7677492e-34 --3.1702304e-34 -3.8083078e-34 --8.3078936e-35 -6.3953946e-34 --9.78155e-11 -4.8886533e-34 --1.3121691e-33 -4.892546e-34 --1.186303e-33 -9.803433e-34 -8.66086e-34 -3.1302065e-34 -8.253546e-34 -1.1449813e-33 -9.6174723e-35 -2.3796605e-09 -1.1401781e-33 -6.8624185e-34 -9.638481e-34 --2.0330663e-07 --4.11041e-35 --1.756251e-34 -7.504549e-09 -5.362089e-34 -2.7430398e-05 -6.5585715e-34 -1.0610833e-33 -8.132922e-34 --4.9282417e-34 -6.880657e-34 --1.1308952e-33 --2.2946017e-35 --3.7390336e-34 -7.5600514e-34 -8.643169e-34 --6.121005e-34 --5.795393e-34 -1.1046231e-33 --1.8896061e-07 -5.8595863e-34 --1.0312055e-11 -9.395355e-34 -1.0522232e-33 --1.0873337e-33 -7.3173293e-34 --2.3441874e-34 -2.3971852e-34 --1.0436744e-33 -6.329317e-34 --0.0030228917 --4.2331815e-34 --0.20836559 --0.032444064 --5.7509573e-34 -1.1516507e-33 -7.476145e-34 -0.17128696 --1.0665933e-34 -0.15877871 -4.9940694e-34 -4.9021104e-34 -2.0496037e-34 --3.6093012e-34 --0.33346373 --3.154315e-34 --0.067625836 -3.999289e-34 --0.0037251515 -0.075255066 --7.698516e-10 --4.1704657e-34 -6.15969e-34 --0.1096348 -1.1607421e-33 --0.080383494 -3.867363e-34 -1.0964897e-34 -8.207954e-34 -6.650504e-34 --0.0054282923 -9.688475e-34 --7.314293e-34 -1.1108003e-33 -8.594039e-35 -8.235956e-34 -3.869235e-34 --4.7450813e-34 --4.446932e-34 --4.8595965e-34 --1.1882276e-33 -6.5944443e-34 --5.6420074e-34 --1.0869061e-33 -9.059889e-34 --1.15027945e-33 -1.1729696e-33 --1.4034962e-34 -9.5711597e-35 --9.76996e-34 --1.3912019e-34 -1.0439879e-33 -2.9395808e-35 -3.5583112e-34 -1.0593888e-06 --9.363764e-34 --1.189313e-33 --2.3370559e-34 --5.742773e-34 --8.065214e-34 -1.0180369e-33 -3.987835e-34 --1.0453622e-33 -1.5388231e-34 -1.04307785e-33 --7.0649764e-34 -1.0380491e-11 --1.1810796e-33 --1.0563371e-33 --1.0781254e-10 -1.0036898e-33 -3.168561e-10 -6.110394e-35 -1.2618932e-34 -3.316037e-34 -4.232174e-34 -7.714401e-34 --1.3443936e-34 --7.7701655e-34 --1.1157336e-33 -0.12414782 -1.0056375e-33 --0.4460331 -0.069443636 -3.0591037e-34 -5.344609e-34 -1.0123378e-33 --0.2194497 -8.772526e-34 --0.28422147 --4.3201704e-34 --9.6170057e-35 -6.0218757e-34 --1.6925958e-34 --0.101445995 --8.450192e-34 -0.022246309 -8.0396935e-34 -0.155289 -0.09866198 -6.5464382e-34 -4.559429e-34 -7.892756e-34 --0.17358145 --6.4506194e-35 -0.05302864 -3.6094006e-34 -7.261837e-35 --1.13553195e-33 --9.119064e-35 --0.004853833 -1.0955254e-33 -7.2375072e-34 -7.06846e-34 -7.14201e-34 -1.0743341e-33 --7.807902e-34 -0.00023278841 --8.633481e-34 -8.32585e-34 -9.045451e-34 --1.07304405e-33 -2.8362952e-34 --1.0171473e-33 --6.2792704e-34 -8.36613e-34 --6.036617e-34 --1.1965357e-33 -0.003019194 -8.14243e-34 --0.005201369 --0.00076739927 --4.6053224e-34 --5.5437654e-34 -5.557032e-34 --0.00016825655 -3.230617e-34 --3.1013077e-34 --6.604398e-34 -8.832407e-34 --1.8578137e-34 --9.083903e-34 --1.0643425e-33 --3.8408158e-34 -8.224688e-34 -1.6191764e-34 -7.1742257e-34 --1.0627647e-33 --3.465068e-35 --3.3929046e-34 -6.4243485e-34 --4.2939495e-34 -1.7822046e-34 --8.490884e-34 -9.4535e-34 -1.1720843e-34 -1.6039561e-34 -6.7217596e-34 --4.935455e-34 --1.1140792e-33 --3.4242685e-34 --5.4652764e-34 --7.6912853e-34 -1.1485283e-33 --3.063632e-36 --8.598489e-34 --6.03373e-34 --3.832248e-34 -4.3478267e-34 -8.434204e-35 -1.1177627e-33 -8.95573e-34 --6.177886e-34 --3.3438813e-34 -6.9108833e-34 -7.0050665e-34 -2.4125724e-34 -4.656615e-34 -3.3369128e-34 -8.084857e-34 --2.502576e-34 --9.858086e-35 --3.2289236e-34 -7.5690807e-34 --3.8149895e-34 -1.0081195e-34 -5.228318e-34 -9.164776e-34 --9.717176e-34 -8.563969e-34 --1.0422835e-34 --1.0150585e-33 --4.2457938e-34 -2.369949e-34 --1.1880595e-33 --1.4658121e-34 --4.4996252e-34 --8.1100735e-34 --2.873147e-35 --2.989003e-34 -9.139836e-35 --1.0083413e-33 --3.976007e-34 -5.9642526e-34 -6.3003705e-34 -8.42832e-34 -2.124662e-34 --5.7543194e-34 -1.4517811e-33 --7.2859156e-34 -1.0522271e-11 -9.450681e-34 --3.4329008e-34 --3.9059375e-07 -2.4136423e-34 -6.8555664e-08 --4.9187826e-34 -4.7981035e-34 -7.857729e-34 -3.9448296e-34 --2.803959e-34 -2.0894281e-34 -5.526664e-06 --3.6849011e-34 --7.1126573e-34 -1.6864964e-34 --1.567507e-34 -4.422467e-34 -4.890637e-34 -5.9351298e-34 -3.22735e-07 --7.170633e-34 --5.166114e-34 -1.0310511e-33 --9.851899e-34 --1.0068774e-33 --4.5040076e-34 --5.540472e-35 --4.5379886e-34 --6.2379086e-34 -9.033295e-34 --3.5165465e-34 -1.2086639e-33 -8.679207e-34 -5.676712e-34 --2.132817e-34 -2.4203718e-34 --1.5451263e-08 -6.7739396e-34 --4.1012924e-34 -4.892939e-34 -6.4420323e-34 -5.319429e-34 --7.811307e-34 --4.4036884e-34 -6.648369e-34 --0.108929195 --1.00824685e-33 --0.28768384 --0.0266667 -9.611561e-34 -7.661457e-34 -2.8121822e-34 -0.33983043 -6.2302344e-34 -0.30353397 -6.0784165e-34 --6.724295e-34 --1.07550965e-33 -7.993418e-34 --0.40238 -9.5779895e-34 --0.046859212 --1.1685544e-33 -0.117461555 -0.04756892 -6.6690643e-34 -1.1526531e-33 --8.581732e-34 --0.094101414 -9.662858e-34 --0.15517958 -6.671059e-34 -8.466811e-34 -4.001764e-34 -8.20884e-34 --0.1005298 --3.3777936e-34 --8.200425e-34 --9.743489e-34 -1.1796394e-33 --5.4497824e-35 -5.4743263e-34 -2.3358836e-34 --1.4612612e-35 --7.0147265e-12 -1.7248182e-34 --7.707713e-34 --9.757148e-34 -4.8322626e-34 --3.986487e-36 -6.380788e-34 -7.8564165e-34 -1.1952603e-33 --2.4866936e-34 -1.1114402e-33 -7.343113e-34 --5.7165806e-34 -8.749201e-34 --3.435037e-34 -6.937944e-34 --3.8037976e-34 -9.36319e-34 -3.614619e-34 -1.016405e-34 -0.00032908889 --6.8417996e-35 --2.2884395e-34 --2.9807148e-34 --2.1650356e-34 --2.892157e-34 -8.13692e-34 -3.646356e-09 --9.118242e-34 -1.0418612e-33 --3.0970418e-07 --5.1924414e-34 -2.3309105e-13 -6.808864e-34 -2.7899477e-34 --3.2835387e-34 -1.2304386e-34 --2.1765472e-34 --8.924616e-34 --7.464481e-34 --5.3022974e-35 --0.022522463 -4.514078e-34 --0.41585883 -0.1202573 --2.5650793e-34 -7.571878e-34 --1.1441773e-34 --0.16579483 --6.6570004e-34 --0.49539778 --4.6975243e-34 --1.2085065e-34 -6.151587e-34 -3.1387081e-34 -0.058702543 -1.9745929e-35 -0.124379635 -8.076134e-34 -0.10524818 -0.067269854 --8.116583e-34 -4.82293e-34 -9.3165366e-35 --0.113188416 -5.0871343e-35 -0.04313762 --4.196378e-34 -3.1428513e-34 --6.884558e-35 -4.356762e-34 -0.04874085 --1.0496905e-33 -9.652689e-34 -8.460779e-34 --1.0111015e-33 --5.01767e-34 --5.6426668e-34 --2.8078227e-07 -3.8051257e-34 --6.433598e-34 -7.804546e-34 -2.3787391e-35 --8.452876e-34 -7.837809e-34 -7.5304556e-34 -6.9242173e-35 --3.6656448e-34 -1.7747087e-34 -1.1380991e-05 -7.217293e-34 -2.7288258e-06 --4.808513e-07 -1.4499502e-34 --8.493866e-34 --3.3196778e-34 --6.573973e-12 --1.987984e-34 --7.0655633e-06 -2.3716905e-34 --2.8070842e-34 -4.788861e-34 --2.0263867e-34 --1.0382674e-10 --5.6670358e-34 -1.2184613e-33 -5.4126225e-34 -1.1116402e-33 --7.961669e-34 --5.6257194e-34 --1.6700919e-34 -4.129503e-34 -4.137315e-34 --9.068157e-34 --6.6047014e-34 --5.438676e-34 --3.1717928e-34 --6.2971416e-34 --5.8782253e-34 --4.674604e-34 --2.2234401e-35 -6.098509e-34 -4.564502e-34 --8.136133e-34 -5.033148e-34 -3.1366414e-34 --7.0567233e-35 --1.1497023e-33 -5.641878e-34 -4.4420076e-34 --3.7375281e-34 -9.853216e-34 -4.666659e-34 -1.0590392e-33 -9.455324e-35 --5.3632527e-34 -1.7630101e-34 --1.3379159e-34 --2.12938e-34 --3.999416e-34 --2.3573474e-34 -3.375197e-34 -3.5077387e-34 -2.6011348e-34 --1.0427356e-34 --1.1418834e-33 --1.6728801e-34 --7.3218214e-35 -9.378454e-34 -1.2936554e-34 -5.8232085e-34 -1.3146123e-34 -5.083934e-34 -1.4039576e-33 --7.6944628e-34 --9.03914e-34 --6.0357374e-34 --6.677822e-34 -9.470462e-34 -6.8621246e-34 -1.3002628e-33 --5.8037095e-34 -7.1171775e-35 --4.5670637e-34 -4.309759e-34 -1.06374745e-33 -1.04603275e-33 --5.9437256e-34 --6.220589e-34 -7.262204e-34 --7.1605725e-34 --1.204798e-33 -9.062195e-34 --1.2750385e-34 --5.8218084e-34 --1.4718452e-35 -3.5787246e-34 --9.320095e-34 -6.5996367e-34 --4.2548823e-34 --1.1827812e-33 --9.432819e-34 --1.0038199e-33 -5.6339975e-34 --1.1770289e-11 -3.7379361e-34 --2.1820555e-34 -9.978419e-34 --7.95986e-34 --1.0874381e-33 --6.9471275e-34 -6.9035755e-34 -6.796352e-34 --5.430233e-34 --3.0121382e-34 -8.098598e-34 -3.053453e-34 --9.636365e-34 --1.9604307e-34 --8.491957e-34 -1.1586294e-33 -6.6165224e-12 --4.361995e-34 --1.0026438e-33 -2.035014e-34 --1.9491313e-34 -9.191337e-35 --5.7277753e-34 -2.3917563e-34 -3.6079613e-34 -2.0711623e-34 --4.6223193e-35 -1.4667433e-34 -5.215795e-34 -2.3267664e-34 --1.458221e-34 --3.189667e-34 --0.01835654 -1.163417e-33 -0.08694198 --0.16779797 -8.461082e-34 -3.947173e-34 --1.1168175e-33 -0.14677477 -8.637516e-34 -0.14912316 -3.2486348e-34 -3.1794877e-34 --1.0519861e-33 -1.9540495e-34 --0.081696175 -8.387997e-34 --0.05038734 -2.6621145e-34 --0.10287887 --0.15332608 --8.154258e-34 -3.4643958e-34 --7.052781e-35 -0.026846882 -5.5766715e-35 --0.18099403 --5.4373786e-34 --1.1853779e-33 --9.835189e-34 -5.6351757e-34 -0.0075500463 -5.688131e-34 --1.1187862e-11 --1.5234292e-34 --6.2521494e-06 -2.2019553e-34 -4.043915e-34 --1.0758198e-33 -4.101974e-34 --2.142241e-34 -3.4459123e-34 -3.1675752e-34 -7.811761e-34 --6.4263248e-34 --3.1163574e-34 -6.3433826e-34 -1.3347298e-34 -3.5459265e-34 -9.773482e-13 -8.68536e-34 --1.9532274e-06 -1.1469747e-09 -9.327786e-34 -4.847445e-34 -1.8744286e-34 -7.6506985e-06 -1.0632424e-33 -4.916586e-34 --4.7115246e-34 -9.459818e-34 -4.748968e-34 -5.520127e-34 --1.2656176e-09 --5.801836e-34 --4.128216e-09 -7.3922014e-34 --6.68074e-12 -5.076784e-34 --9.215685e-34 -8.529064e-34 --1.1679583e-34 -2.4329207e-34 -6.2910313e-34 -1.017502e-33 --3.1566275e-34 --2.7038133e-34 --1.0403217e-34 --6.5342902e-34 -4.7294546e-34 -7.1569707e-34 --0.22443065 -4.3674988e-34 --0.30786532 -0.008663721 --7.6756884e-34 -1.2843621e-33 -1.0621844e-33 --0.019557793 -8.288986e-34 --0.25492746 --9.911672e-34 -6.182445e-35 -1.14489936e-35 -2.5302137e-34 -0.030905914 --3.6582908e-35 -0.049710847 --1.1139342e-33 -0.15317605 -0.073449865 --1.1095579e-33 -3.4585443e-35 -3.2632366e-34 --0.1529811 -1.4595616e-34 --0.18783242 --4.7709514e-34 -2.3658706e-34 -2.5149334e-35 --7.951998e-35 --0.054371327 -1.0015402e-34 -5.4440376e-34 --2.7067264e-34 --1.1989249e-33 -4.225873e-34 --7.731052e-34 -1.2720847e-33 -2.3847213e-34 --8.648185e-34 -4.874004e-34 --5.48408e-05 -1.4692799e-34 --2.6213065e-34 --1.3082885e-34 --5.5255134e-35 --7.0599015e-34 -5.8898356e-34 -0.000100502264 -2.9737353e-34 -8.728522e-06 -4.2031967e-05 -1.1102074e-33 -9.298772e-34 --8.983469e-34 -0.0009650483 -2.3413338e-34 -0.0010352071 --1.1496419e-33 --4.1459075e-34 -1.5147953e-34 --9.92183e-34 --1.4282863e-07 -8.373374e-34 -2.122456e-34 -8.742232e-34 --1.0264922e-33 --6.5609134e-34 -9.359417e-34 -9.464214e-34 -9.403778e-34 -7.320167e-34 -3.1892966e-34 --4.4340933e-36 -1.05739565e-33 -1.1487795e-33 -7.5949663e-34 --8.242348e-35 --5.691764e-34 --1.0450928e-33 --6.6885684e-34 --2.2751138e-34 --4.2469435e-34 -7.4950952e-34 -8.710604e-34 -9.073406e-34 --9.973617e-34 -3.6049422e-34 -6.237886e-34 --1.0842055e-33 --9.0158465e-36 -1.07227695e-33 -4.6557456e-34 -6.730907e-34 -1.1556555e-33 --1.0603788e-33 --5.598352e-34 --9.751721e-34 --4.6494245e-34 -2.8720417e-34 -9.950073e-34 -5.3500274e-34 --4.099309e-34 --1.4816701e-08 --9.916212e-34 --6.0105965e-35 -9.20874e-35 --1.643969e-34 -3.257227e-34 -6.687988e-34 -2.9791513e-08 -7.36121e-34 -1.3908229e-33 -8.965231e-11 -5.73941e-34 --5.8149355e-34 -1.0789808e-33 --3.3319608e-34 -8.7465596e-35 --9.737291e-13 -1.0967362e-33 -5.087569e-34 -9.461201e-34 -2.389964e-08 -1.9946082e-34 --3.2937793e-34 -0.00014320762 --3.7067107e-34 -4.7196815e-34 -8.206661e-34 --1.0717643e-34 --4.409823e-34 -5.818642e-34 -1.2726429e-33 -2.3700317e-34 --1.1633383e-33 -9.0947355e-34 -7.3449e-34 -1.085756e-33 --1.1844849e-33 --1.1906583e-33 -3.2652564e-35 --1.1550613e-33 --8.530665e-34 --5.293251e-34 -6.6172103e-34 -3.7300188e-06 --2.101257e-10 -1.2138375e-05 --8.077733e-34 -5.925553e-34 -3.069539e-34 --5.123651e-34 --3.2175402e-34 --1.1537361e-07 -6.780604e-34 --7.4977475e-34 --7.4163114e-34 --1.545527e-08 --2.698228e-35 --3.7266534e-10 -6.323586e-34 --1.2682467e-33 --2.8738192e-34 --2.628769e-34 -1.193419e-11 -1.0828661e-33 --4.0553106e-05 --3.2366484e-34 --1.0966657e-33 -4.3221063e-34 -1.179936e-34 -3.905694e-34 -6.43356e-34 -4.3980526e-09 -1.5849121e-34 --0.016790634 -1.388097e-35 -0.22807343 --0.08838156 -1.1050105e-33 -9.678355e-34 -6.709268e-34 -0.094777845 -8.808767e-34 --0.16834795 --8.0386135e-36 --1.5520089e-34 --1.0144963e-33 --2.0910084e-34 --0.102257155 -7.340868e-35 --0.10438247 --8.823812e-34 --0.080054045 --0.35141015 --5.2537365e-34 -1.162155e-33 -5.9573484e-34 -0.04919955 --2.6457873e-34 --0.06448905 -7.3136444e-34 -6.4134614e-34 -1.1167417e-33 --4.792952e-34 --0.12993143 -6.4491936e-35 --1.0816759e-33 --9.134881e-34 --1.5410864e-34 -5.087907e-34 --1.8298227e-34 --6.1004814e-34 -6.6360605e-34 --3.752031e-36 --5.3198783e-34 --1.2970199e-33 --4.721974e-34 --7.1799305e-34 -1.1167316e-33 -1.0080543e-33 -1.9507526e-34 -6.4148196e-34 --1.5063644e-09 --9.407724e-34 -2.6431163e-08 --4.369763e-05 -7.85433e-34 -3.4458148e-34 -1.1263763e-33 --1.190347e-33 --9.974742e-34 --5.780993e-34 --1.202404e-34 --5.8620434e-34 --5.6350995e-34 -6.1150134e-34 -5.4420274e-05 --2.5004482e-34 -4.17862e-11 -7.283443e-34 -2.7468622e-07 --8.285207e-34 -2.723918e-34 -1.4231849e-05 --1.0107094e-33 -1.2204129e-33 --7.043737e-34 --4.7587402e-08 -5.5284367e-34 -9.097154e-34 -3.8454525e-34 -4.31121e-34 --1.23884885e-08 -7.097704e-34 --0.006687783 --7.608041e-34 -0.07673936 -0.00782868 -6.113596e-34 --2.755867e-34 -1.1731605e-33 --0.018852029 --5.175835e-35 --0.10100558 --2.9226624e-34 --3.9091437e-34 --9.648309e-34 --4.760095e-34 -0.065637425 --1.2621198e-34 -0.008038385 -6.4167403e-34 -0.19258714 -0.07243325 -1.047458e-33 -6.970425e-34 --5.558397e-34 --0.19688682 -3.6964483e-34 --0.11554489 -4.7568183e-34 -2.0451012e-34 --5.356825e-34 -5.2811467e-34 --0.11810423 -2.3369898e-34 -7.250831e-34 --8.961e-34 --1.1997017e-05 -1.3392389e-07 --3.0870153e-34 -1.9184068e-34 -1.0793078e-33 --1.1115597e-05 --6.3443777e-34 --2.4692985e-05 --6.9100255e-34 --5.685811e-36 -1.1451107e-33 --2.2251114e-34 --1.078218e-05 --6.642788e-34 -0.0032711346 -3.297537e-36 --0.05909475 -0.017025007 -1.0007931e-33 -5.321813e-09 --3.7296503e-34 --3.4219324e-06 -9.288074e-34 --0.080806255 -5.720196e-34 -6.627602e-34 -7.730826e-34 -4.280197e-34 -5.383099e-06 -3.7662816e-34 --7.10662e-34 --4.3365254e-34 -1.0179526e-33 -8.634487e-34 --5.793143e-34 --3.2668356e-12 -3.1562932e-34 -5.960228e-08 -1.1563072e-34 --2.0887653e-34 -3.67375e-34 -1.127623e-34 --7.1381045e-34 -5.126003e-34 -1.1431131e-33 -4.463289e-35 --1.26067655e-33 -3.0905018e-34 --2.4275988e-09 --1.13542175e-33 --4.6797753e-34 -8.072737e-34 -3.0341105e-35 -8.042262e-34 --5.739623e-34 -1.1814291e-33 -3.2524207e-34 -4.430049e-34 -5.8262634e-34 --2.0637681e-34 --5.1080225e-34 -3.2088812e-34 --8.980659e-34 -7.1924486e-34 -9.204411e-34 -3.555606e-34 -2.2525365e-34 --9.545073e-34 --5.4650936e-34 -2.3998324e-11 --3.1143332e-34 --3.4981497e-08 -1.1142596e-33 -1.0337614e-33 --1.1079614e-34 --4.1234684e-34 --9.602654e-34 --4.498235e-34 --1.8808791e-34 -4.5536337e-34 --1.2848112e-08 -1.1190436e-08 --1.1871832e-34 --4.7564754e-06 --4.962522e-34 -9.949934e-11 -1.913815e-34 -9.623141e-10 -6.646965e-34 --4.5671776e-34 --4.0003652e-34 --3.8220707e-05 --0.00052027893 --9.239711e-34 --5.607872e-34 -9.621572e-34 --2.555321e-10 --1.3646182e-33 -5.2477943e-34 --1.1364773e-33 -8.753449e-34 -1.3963756e-33 --6.686349e-35 -9.927505e-34 -1.1564713e-33 --4.9816734e-34 -4.427829e-34 -4.721015e-34 --8.518132e-12 -4.393072e-34 -6.866239e-34 --1.3859813e-34 --6.004055e-07 -1.481032e-11 -9.076738e-34 -2.653943e-34 --2.1160551e-35 --1.4347643e-34 -1.7627328e-34 --9.802433e-34 -2.6742496e-37 --1.0495412e-33 -2.5019277e-34 -9.9535425e-34 -1.2263183e-33 --9.94288e-34 -8.3418195e-07 --4.3340614e-35 -9.958582e-34 --5.387199e-34 --1.3599e-34 -4.0789966e-34 -3.1934262e-34 -1.4565234e-07 --2.31266e-35 --1.1125055e-33 -8.132289e-34 -8.092623e-34 -8.187531e-34 --3.4743882e-34 -1.10523265e-13 -5.674277e-34 -0.06214474 -5.4654254e-35 -0.2468979 --0.05354478 -3.5239355e-34 --1.9663378e-34 --6.5526113e-35 -0.08657377 --5.3625093e-34 --0.07818533 --2.514483e-34 --3.4897493e-34 -1.1497014e-33 -5.805423e-34 --0.00893349 -1.6586802e-34 --0.11006449 -9.196894e-34 -0.1682482 --0.28309727 -3.2449072e-34 -1.2113524e-33 --3.4764547e-34 --0.07597545 -2.5317598e-34 -0.076995865 --7.6951226e-34 --1.1218466e-33 --9.117804e-34 -7.4777705e-34 --0.20109881 --2.1856136e-35 -8.094043e-34 --1.143869e-33 --8.219273e-34 --1.0305256e-34 --8.81929e-34 --9.474132e-34 --4.7202366e-35 --1.1747376e-34 --8.959062e-34 --1.0106777e-33 -2.032797e-34 -6.8528823e-34 -9.782684e-34 -5.4664758e-34 --7.5623225e-34 -3.386662e-06 --3.7953094e-09 --6.192842e-34 --7.0878705e-05 -9.080124e-13 --6.896818e-34 --6.3461312e-34 --1.450841e-34 -8.83929e-34 --3.1722331e-34 --1.1352351e-33 --2.3165963e-34 --5.417148e-34 -1.0912041e-34 -1.2828905e-34 --2.560372e-09 --3.178427e-34 --0.00012178908 -4.942166e-34 -1.2076882e-33 --7.690672e-35 -3.6467163e-09 --1.0541153e-05 --8.6725145e-34 -6.489199e-34 -7.2491745e-34 -2.3201614e-34 --3.9237533e-34 --3.9138897e-34 --8.444681e-34 --3.797004e-34 -6.1168024e-34 -1.1127218e-33 -0.12103931 --5.9667607e-34 --0.07842418 --0.013610001 -9.634503e-35 -7.6947906e-34 --1.203887e-33 -0.006553259 --3.362114e-34 --0.01979827 -6.777988e-34 --1.1915694e-33 -5.069169e-34 --3.446241e-34 --0.09896709 --4.9123587e-34 -0.101655945 --1.0847701e-35 --0.014700557 -0.18506785 --1.0985641e-33 -6.418679e-34 --5.368645e-34 --0.08666238 -9.626331e-34 --0.043224733 --7.4417246e-34 -3.887638e-34 --2.9102164e-34 --4.699481e-34 --0.106376104 --9.450989e-34 --1.9629116e-09 --1.2090471e-34 -8.9723395e-10 --8.963703e-34 -1.3760043e-34 -1.6616839e-12 --3.0531243e-34 -0.000631834 --1.9349154e-34 --2.7013293e-08 -1.7343267e-34 -5.9346765e-34 -6.585222e-34 --8.332385e-34 -3.8189458e-34 --3.9444737e-34 --2.969712e-05 --4.342178e-34 --4.207072e-06 --7.602285e-06 -9.294865e-34 -2.9311664e-11 --6.0651945e-34 -2.5823288e-11 --2.7561893e-35 -9.281729e-09 -2.7340215e-34 -9.833334e-34 -9.166354e-34 --7.602619e-35 -3.8745023e-12 --1.1895452e-34 --1.2121463e-33 --1.1390256e-33 -4.2769627e-34 --1.4982787e-34 -1.4492716e-34 --3.6344318e-07 -1.3621695e-34 --2.3303786e-05 -9.41349e-34 --7.6773005e-34 -1.6929754e-34 --4.765815e-34 --8.004464e-34 --6.7950874e-34 -2.8954699e-34 --4.444917e-34 -1.3669956e-33 -8.280478e-34 -8.601577e-34 --3.918978e-34 --1.0219886e-33 -1.1325952e-33 -4.010196e-34 -1.0297793e-08 -1.1128296e-33 --4.2667883e-34 -6.078263e-34 --1.702642e-34 --1.9192535e-34 -2.1945423e-34 -1.6108416e-33 -9.809304e-34 -5.786371e-36 --6.953559e-35 --3.3263258e-34 --1.6790231e-34 -1.0261351e-33 -3.7139019e-34 --4.8131066e-34 --7.0940074e-34 -6.098213e-34 --8.261164e-34 -1.010598e-33 --3.15325e-34 --1.4637912e-34 --5.2494846e-34 --6.092826e-34 -3.5897834e-34 -1.3258592e-33 -9.669381e-34 --1.2034766e-33 -1.3910125e-08 -8.257758e-34 -1.2266313e-33 -1.0296557e-33 --6.9575674e-34 --1.0776374e-33 --8.6240143e-35 --9.14539e-34 --4.3943505e-34 -9.997726e-34 --7.71092e-34 -1.9192477e-08 -8.254754e-34 -9.939313e-09 -1.9187181e-34 -5.045604e-34 -4.5452096e-34 -9.1881175e-34 -4.7232947e-34 --2.7208672e-34 -1.1028102e-11 -5.605028e-34 -9.149831e-05 --3.8346655e-34 --1.0935361e-33 -3.2363811e-34 -1.8761677e-34 -3.3561056e-09 -1.6577978e-34 -4.656032e-12 -3.979122e-34 -6.4671025e-05 -2.4109718e-11 --3.5273463e-34 -7.946195e-34 --7.875351e-34 -0.0002819756 --7.6800336e-34 -1.1034953e-34 -9.649633e-34 --4.4993607e-34 --1.2003656e-33 --2.6944682e-34 --4.401308e-35 -3.6891067e-34 -6.975783e-35 --7.68718e-34 --4.5207456e-34 --1.2471437e-33 -5.223816e-34 -1.9347874e-07 -9.63892e-34 -9.942684e-34 -7.1704255e-34 --1.1881074e-33 --2.8076464e-34 --1.0604015e-33 -3.792571e-34 --8.303685e-35 -1.166291e-33 -6.8530554e-34 -0.25508076 -2.4182169e-34 -0.31773818 --0.15541106 --1.10283245e-33 -7.7023073e-34 -2.7706512e-34 -0.046022605 -7.138312e-35 --0.030041877 --3.366656e-34 -7.6141646e-34 -5.7854957e-34 -6.1475526e-34 --0.054559737 -4.7751565e-34 --0.04979126 -5.7050373e-34 -0.1025385 --0.50468147 --3.376037e-34 -6.922152e-34 --1.1513589e-33 -0.12327082 --1.3283317e-34 -0.086965844 -5.2740167e-35 --5.22143e-35 --6.350472e-34 --4.86953e-34 --0.07592554 -9.463686e-34 -2.1483009e-09 -6.2926665e-34 --7.54019e-35 --2.2590028e-34 --2.4788288e-34 -5.1266817e-34 -1.0735268e-33 -6.1793947e-34 --4.35036e-34 --5.376197e-35 -1.0419837e-33 --2.8822616e-34 --1.866808e-34 --3.758824e-35 --6.1461604e-34 --7.990577e-34 --7.053892e-34 --6.0069525e-34 -9.119939e-09 -3.2049638e-06 -1.0379542e-33 --3.1095824e-11 --4.847467e-34 --8.582314e-34 --4.1647398e-34 -8.172623e-34 --9.9650495e-34 --9.7078495e-34 -2.1272187e-34 -1.3506109e-34 --1.5903287e-11 -3.588977e-34 -6.1559758e-34 --3.2247275e-34 --2.9570718e-34 -1.1716446e-34 -2.0264972e-34 -1.1178143e-33 --3.8280065e-34 -5.1104048e-34 -8.507463e-34 -3.9473394e-34 -5.6469725e-34 --2.2647143e-34 --1.0332098e-33 --7.926027e-34 -6.4087364e-34 -8.822521e-34 -0.035031453 -1.1471477e-34 --0.14660288 --0.022810787 -8.198196e-35 --1.4504351e-34 -8.035949e-34 -0.021945696 --8.097724e-34 -0.08711209 -7.0526364e-34 --3.0955099e-34 -5.6975596e-34 --2.5416057e-34 -0.12974618 --1.1493614e-36 --0.08930612 --5.267714e-34 --0.12311845 -0.17098996 --7.1523193e-34 -1.1585254e-34 --9.264984e-34 -0.0089774355 --5.345231e-35 --0.101787835 --4.524559e-34 --1.0243331e-34 --1.1013589e-33 -6.8136864e-34 --0.101787776 --2.5860628e-34 -8.1318924e-11 -1.286703e-34 -1.3798784e-10 --4.6821813e-34 -8.645129e-34 --5.3158496e-06 --3.6291974e-34 -1.2426327e-33 --5.7376596e-34 -9.83157e-34 -1.7065825e-34 -6.1254235e-34 --9.40538e-34 --5.8051e-34 -1.1417087e-33 --3.3019317e-34 --0.0008417563 -5.6830735e-34 -2.8657445e-05 --0.0010345951 --7.807182e-34 -4.9955275e-09 -1.573019e-34 --0.029535329 -9.118279e-34 --0.008634231 --2.4576492e-34 -3.0354832e-34 -2.3158543e-34 --6.240213e-34 --0.012242693 --2.5288162e-34 --4.955693e-34 --1.0164871e-33 --7.21377e-36 --1.0169688e-33 --4.004316e-34 --1.1459248e-33 --1.944702e-34 --2.1902692e-34 -5.086986e-34 -7.61783e-34 --5.7033324e-34 --2.7509144e-34 --7.5457774e-34 -4.501311e-34 --8.732959e-35 -2.7754176e-35 -1.2538028e-33 --8.747766e-35 --4.2721873e-34 --6.2342674e-34 -7.5087053e-34 --1.1962815e-33 -4.9484685e-34 --5.1083605e-34 -3.8095937e-34 --3.0048427e-34 --2.2226337e-34 --8.2576837e-35 -5.6921385e-34 --1.2154901e-34 --4.5379666e-34 -9.189646e-34 --5.760782e-34 --2.8363868e-34 -9.175674e-34 -1.0252456e-33 -1.5420658e-34 --3.8388396e-07 --7.059703e-34 -7.570683e-34 --3.6084577e-34 --4.6934845e-34 -8.5069034e-35 -8.467001e-34 -8.585777e-34 --2.3315467e-34 --9.378674e-34 -1.01457505e-33 --7.775895e-36 --3.2847573e-34 --7.7574105e-34 --1.171192e-33 -6.8465383e-34 --8.084521e-34 -6.2011735e-35 --1.2180402e-33 --6.4995728e-34 -1.2306704e-11 --8.611348e-34 --6.515578e-34 -8.1586985e-34 --9.103205e-34 -6.8664592e-34 --4.699666e-34 -5.419114e-06 --9.100073e-34 --1.9350547e-34 -8.29081e-34 --1.1699896e-33 -6.9434233e-34 --7.779236e-34 -6.2578427e-09 -1.1546697e-33 -1.0855485e-33 -1.2092008e-34 --4.868306e-34 --1.0121225e-33 --1.1578805e-33 --1.4028557e-06 --2.4519435e-34 --2.2599265e-34 -3.9064616e-34 -7.4048577e-34 -5.4931843e-34 -9.515726e-34 --5.985184e-34 --1.92746e-34 --8.720974e-34 -4.1414503e-35 --5.5347766e-34 -5.2098497e-34 --7.81681e-34 -5.0671153e-36 --3.031958e-34 --5.808834e-34 --1.0268895e-33 --4.025686e-34 -4.7489035e-34 -3.604882e-34 --1.6372285e-34 -3.2602777e-34 -9.781582e-34 --3.6520288e-34 --4.879095e-34 --6.03328e-35 --2.2097788e-34 -3.3973908e-34 -3.8364437e-34 --7.594363e-34 -4.0229875e-34 -1.1225743e-33 -4.361755e-34 -0.0050061177 -6.315722e-35 -0.09101206 --0.026249424 -2.8261097e-34 -3.5765683e-34 -9.694738e-34 -0.09829315 -6.7710343e-34 -0.076625735 -5.971656e-34 -4.38908e-34 -2.867117e-34 -1.0840977e-33 --0.030979542 -3.6207132e-34 -0.09100546 --6.687343e-34 --0.03779418 --0.41675738 --8.20188e-34 --8.209746e-34 --9.208172e-34 -0.19052553 -7.841596e-34 --0.031204162 -7.789281e-34 -6.8209125e-34 -1.8019566e-34 --1.4289304e-34 --0.1427095 --5.608859e-34 --1.11604685e-33 --1.6679792e-34 --1.1542297e-33 -6.2972334e-35 --6.3794524e-34 --1.6292131e-34 -2.1749603e-34 -8.850159e-35 -6.191702e-34 --9.9921685e-34 --1.8828742e-34 -1.0913146e-33 --9.266408e-34 --1.4297914e-34 -1.3257347e-33 -1.4408769e-34 --7.749535e-34 --7.962431e-34 --1.1877136e-33 --4.6423064e-34 --1.5886806e-35 -2.7931982e-34 --7.873564e-34 -3.5944422e-34 --7.9886137e-35 --4.196493e-34 --4.3175834e-34 -1.1503887e-33 -7.3423655e-34 --9.872007e-34 --9.222161e-34 --8.378983e-34 -5.625719e-10 --1.0303845e-33 -2.6883877e-11 --9.918851e-34 -4.010502e-34 -8.43751e-08 -9.843562e-34 -9.807928e-34 --1.3972966e-35 -6.8221725e-34 -1.368311e-34 -9.928849e-34 -9.082528e-34 -3.2648465e-34 --3.804458e-34 -9.699868e-34 --0.17475566 -3.6913154e-34 --0.19914445 -0.00011466216 --7.0308957e-34 -7.6351223e-34 --1.1241232e-34 -0.010366969 -7.141797e-36 -0.0707474 -5.8251815e-34 --1.1396849e-34 -3.3688676e-34 --1.5273326e-34 -0.11014421 -6.9467055e-34 --0.22927493 --5.9124845e-34 -0.016937736 -0.09693628 -7.919012e-34 --3.9099895e-34 -4.604449e-34 --0.083154455 -1.0137029e-34 -0.12882294 -5.4109456e-34 --1.1636957e-33 --1.0731115e-33 -8.838439e-34 --0.07912629 --4.4873353e-34 -3.3271486e-34 --8.1202645e-34 -1.2695677e-33 --7.6220523e-34 -7.792793e-36 -0.000108348 --1.0826911e-33 -7.427038e-34 --2.7882843e-34 --1.02588845e-33 --9.629114e-34 -6.6315114e-34 -3.4364843e-37 -1.0916186e-33 -5.399908e-09 -2.8555928e-34 --3.487366e-05 -7.1507966e-34 --3.9084414e-05 -4.4098087e-07 --1.1692187e-33 --2.2752963e-10 -1.046004e-33 --7.467588e-08 -4.2019735e-34 -3.6896236e-05 -1.8164212e-34 --8.858768e-34 --3.837225e-34 -3.923293e-34 --2.7275956e-08 -6.4162683e-34 --7.8804964e-13 --4.1454828e-34 --6.611351e-05 -1.2840718e-33 --1.95568e-34 -2.318453e-11 -2.6267491e-34 --2.6199418e-34 --1.162979e-33 --1.2366774e-33 --6.4450174e-35 --1.0690108e-33 --9.33411e-34 --4.9737035e-34 --1.0545144e-34 --7.8982544e-35 -8.144185e-34 --3.507597e-34 --3.8197983e-34 -4.294671e-35 --1.168041e-33 --7.6568176e-34 -2.986696e-34 --0.00015041203 -5.2938044e-34 -2.4102942e-34 --6.4531843e-34 --6.544743e-34 --7.0292243e-34 --7.924362e-34 --2.2341602e-35 -9.539017e-34 -4.486428e-34 -5.2611417e-34 --7.602054e-34 -6.6679467e-34 --9.671028e-34 -9.67329e-34 -9.998156e-34 -1.27284e-33 --3.7074878e-34 --8.804776e-35 -5.958536e-34 --1.1359298e-33 --6.4646923e-34 -7.9160765e-34 -4.9586613e-34 --7.050762e-34 --1.1682048e-33 --4.9994326e-34 --3.8276153e-34 --8.069951e-13 -4.4781265e-34 --7.788943e-34 -1.1558445e-33 --1.8758475e-34 -6.784101e-34 --0.0002600181 -8.563829e-34 -9.4302785e-34 --5.168318e-34 --7.099053e-34 --1.0795123e-33 -7.399507e-34 --9.093507e-34 -2.4128222e-34 --1.4660619e-33 -4.1440074e-34 -1.104925e-33 -8.727576e-34 --1.0798857e-33 -1.188893e-09 --2.3106096e-34 -1.1485579e-33 --4.356339e-34 --4.969485e-34 -1.8225296e-34 -8.486606e-34 --1.72244e-10 --3.5275667e-34 --9.111167e-34 -9.925818e-34 -2.4982781e-34 -9.646173e-34 -8.701024e-34 -6.6548776e-35 -8.747871e-34 -2.030538e-34 --5.051981e-34 --8.43575e-34 -4.838188e-34 -7.2993497e-34 --7.315105e-34 -3.405554e-35 --5.693852e-34 --2.6324705e-34 -1.1406541e-33 -2.126878e-34 -2.24396e-34 --8.45678e-34 -3.0154626e-34 -1.3234721e-12 -8.6810327e-35 --8.950256e-11 --7.9179555e-34 -1.0950271e-33 -5.900466e-34 --1.0366964e-33 -2.094279e-34 -5.1631284e-34 -9.184885e-34 -6.609804e-34 --0.00601068 --6.8806887e-34 -0.1411315 --0.07138615 --1.1378817e-34 --7.4965467e-34 -2.1985893e-34 --0.0404595 -4.1548913e-34 -0.035331886 --1.6924008e-34 --9.166218e-34 --5.7349995e-34 -5.4432175e-34 --0.040155873 --6.806768e-35 -0.010271933 --2.5600022e-34 --0.05593306 --0.42246842 --7.919597e-34 -8.113402e-34 -2.0178573e-34 -0.11780087 --9.958552e-35 -0.10532752 -7.8076445e-34 -1.240408e-34 -2.8734576e-34 --7.159785e-34 --0.13487335 -5.9294047e-36 -1.4312819e-34 --1.1306742e-33 -8.311237e-34 -7.487899e-34 --3.2087253e-34 -0.00071084674 --1.0930587e-33 -4.150889e-06 -4.2578394e-34 -8.041028e-34 -1.1437537e-34 --6.8712732e-34 -1.135716e-33 -8.686753e-35 -1.4524996e-34 -6.3645085e-34 -3.5390843e-34 --2.616452e-34 --4.1691515e-34 --8.2213065e-35 --6.4987193e-10 -2.6887208e-12 --6.284722e-34 -6.9745116e-13 -8.865007e-34 --1.2008174e-33 -7.6216207e-34 --2.845578e-34 -1.0050212e-33 -5.0940654e-34 --4.172217e-06 -2.0724608e-34 --1.071325e-33 --7.5362623e-34 --4.569444e-34 --8.145764e-34 --1.0894733e-33 --4.11473e-34 -9.346264e-34 -6.983759e-34 -4.0278778e-34 --8.034959e-34 -3.43147e-34 -5.0645164e-34 --2.1065222e-34 --7.1667273e-34 -6.425105e-34 -2.8633447e-34 -0.14909056 --7.791849e-34 --0.070329376 -0.19882102 --7.0276985e-34 -5.536877e-35 -4.0637115e-35 -0.01065195 --9.361734e-34 --0.17405249 --3.547563e-34 -6.5317335e-34 --1.22575e-34 -2.2575367e-34 -0.020946013 -2.2876918e-34 --0.10487626 -1.086364e-33 --0.044298105 -0.15623768 --7.747294e-34 -6.394555e-34 --8.308894e-34 --0.10107466 -4.697633e-34 -0.1092812 -4.486947e-34 -7.2056996e-34 --1.0127582e-34 -6.5257404e-34 --0.019567633 -4.4749876e-34 -5.8792056e-34 -6.638044e-34 -6.370709e-34 --1.1412522e-33 -2.286939e-34 --2.8164845e-34 -5.891725e-34 -1.0341735e-33 --5.9299833e-34 --6.1922104e-34 --1.0159064e-33 -9.947492e-34 --9.641945e-34 --1.495143e-34 --9.941655e-34 --7.863458e-35 -6.5461766e-27 -4.8209618e-34 --9.261503e-12 -2.5001751e-24 --8.27047e-34 -1.0398937e-33 --1.0973499e-33 --2.417187e-11 -3.1212654e-34 -5.433301e-28 --7.4472623e-34 --5.9594372e-34 --7.004029e-34 -4.2739684e-34 --1.9497865e-23 --6.751871e-34 --8.515222e-34 --6.328988e-34 -3.0652554e-05 -5.3756173e-09 --5.960851e-34 --3.43085e-06 -3.6151429e-34 --7.0772548e-34 -7.050584e-34 --7.6077407e-34 --7.2809275e-34 --1.0997974e-33 -1.1768333e-33 --8.253493e-34 --1.2226021e-33 -3.032453e-34 --6.7749833e-34 --8.146058e-34 --1.1874454e-33 --1.0461224e-33 --7.760584e-34 -6.861556e-34 -9.55563e-34 --0.0001016006 -8.251578e-34 -1.0213466e-34 -4.614957e-34 -7.0049586e-34 -7.725133e-34 --5.3686104e-34 --6.84796e-34 --7.3037362e-34 -3.074825e-34 -1.906762e-34 --5.0656464e-34 --1.0066379e-33 -1.0944771e-35 --7.1120756e-34 --5.2809405e-34 --5.908596e-35 -1.1414386e-33 -8.182959e-34 -1.5414051e-34 -7.2797823e-34 -7.5115926e-34 -8.0590295e-34 -4.0028443e-34 -6.6231833e-34 -8.564814e-06 --1.638022e-34 --9.575802e-10 -1.1583042e-33 -1.4955617e-08 --6.7461915e-34 -7.186796e-34 -6.223126e-34 -1.0624706e-34 -4.5792852e-35 --2.198112e-34 --8.576668e-34 --4.0950403e-34 --4.766604e-34 -9.309906e-34 --9.640939e-34 --1.858416e-11 --7.3758694e-34 -3.2581765e-35 --6.3005505e-06 -1.0307124e-33 -7.908656e-34 -8.648554e-34 -1.6298788e-33 --1.0902987e-33 -0.001212856 --1.2357784e-34 -3.5823204e-34 -9.8850185e-34 --6.110527e-34 --1.4782989e-08 -9.506502e-34 --6.4744796e-34 -8.440859e-34 --1.23509485e-33 --7.0933664e-34 -1.1696463e-34 --9.963079e-34 -1.4941709e-34 -1.0485689e-33 -1.0325692e-10 -2.1988145e-34 --1.1601365e-33 --1.4619877e-05 -2.426437e-34 --6.969506e-35 -1.1546422e-34 --8.557835e-34 --3.5134057e-35 -8.260138e-34 -9.246174e-34 -1.9548618e-34 -3.4828364e-34 -9.15989e-12 --6.6893953e-34 -4.6863727e-34 -4.92925e-34 --5.50869e-34 -1.0517714e-33 -1.0583453e-34 -3.4297913e-34 --2.4465357e-34 --1.1631355e-33 --9.407767e-34 --0.004920332 -1.1529212e-33 -0.11664349 --0.06494369 -6.7501427e-34 --4.470254e-34 --3.4711586e-34 --0.09719258 --1.1546304e-33 --0.10290497 --9.822903e-34 -1.1761376e-33 --6.6763414e-34 --3.0738867e-34 -0.01700829 --4.1818694e-34 -0.11710733 --3.3838265e-34 --0.16345489 --0.11723659 --2.4302868e-34 -1.3408793e-33 -3.423956e-34 --0.11328122 -6.4314873e-34 -0.010236947 -6.588879e-34 --5.941105e-34 -7.506382e-34 -5.8141815e-34 --0.018723395 -1.0652229e-33 -1.0670124e-33 --9.279327e-34 --1.5702015e-34 -5.183945e-34 -5.485483e-34 -6.773948e-34 -2.9472022e-34 --1.0650567e-33 --1.8252824e-34 -8.728567e-34 -9.627317e-34 -8.014597e-34 -7.6155706e-34 -6.327642e-34 -3.815831e-34 --8.124517e-34 --9.749696e-05 -1.523617e-34 -9.0900767e-07 --0.00027831417 -4.3164446e-34 -7.322742e-34 -7.782381e-34 -1.2107709e-33 --3.4421707e-34 --3.697192e-11 --1.3071865e-35 --1.2148077e-33 --1.5810399e-36 -1.639686e-35 --9.768417e-34 --3.6929546e-34 -1.2954153e-33 --2.4013687e-34 -1.6207578e-12 --1.1431918e-33 -3.5536957e-34 -6.032115e-11 --4.4698733e-34 -2.2717453e-12 -1.2146724e-33 -1.6519095e-08 -6.633378e-34 -1.1541679e-33 --5.6006337e-35 -8.369954e-34 --6.0766593e-34 -5.3323936e-35 -0.043384407 --7.72914e-34 -0.03234592 -0.027198352 -8.949472e-34 --1.2951579e-33 -4.9171576e-34 --0.04068607 --7.415001e-34 -0.00042148685 --8.68521e-35 -9.2437e-34 --8.429684e-34 -9.6218125e-34 --0.004688406 --4.3283663e-34 --0.020430487 -7.63866e-34 -0.0137997735 -0.006136299 -1.1712771e-33 --4.4566885e-34 -3.794009e-35 --0.09634634 --5.7375544e-34 -0.12836565 -1.8939861e-34 --1.9702277e-34 --9.889669e-34 -3.1725805e-34 --0.08230704 -6.2272215e-35 --7.99456e-34 --5.5098267e-35 -1.6922456e-11 --5.5657013e-34 -1.1444942e-33 -6.439843e-34 -1.2042849e-33 -5.847203e-35 -5.954508e-34 --1.9800478e-10 -8.699763e-34 -7.760656e-34 -7.982236e-34 --5.76275e-34 --7.747242e-34 --4.0528795e-34 --2.5916985e-34 --1.0961126e-33 --5.8178384e-12 -2.8317457e-34 --4.8729384e-34 -3.865437e-34 -6.747541e-34 -4.1818753e-12 --2.3643104e-34 --1.4131934e-33 --1.0897657e-33 -5.548541e-34 --1.1715991e-33 --6.982054e-34 -8.990765e-12 --7.2495666e-34 -1.0582985e-33 -3.879037e-34 --3.287158e-08 --8.049981e-34 -1.0507744e-33 --1.7237707e-09 --3.0262753e-34 --4.981995e-34 --8.499175e-34 --2.6060949e-34 -7.958805e-34 -5.312787e-34 -4.327644e-34 -8.349116e-34 --6.452677e-34 --1.1521338e-33 --9.330046e-34 --6.2977693e-34 --1.1909168e-33 -2.8069267e-34 --5.740479e-34 -1.1662102e-34 --1.0846297e-33 --7.690012e-34 --7.6198744e-34 -6.278771e-34 --9.983e-34 -6.817866e-34 -1.0499293e-33 --1.135778e-33 -1.4509329e-34 -4.5225285e-34 --2.0123648e-34 -7.017074e-34 -7.3728333e-34 -7.611712e-34 --4.917282e-34 -1.1059809e-33 -2.0248437e-34 --5.907855e-34 --8.381982e-34 -5.9710076e-34 -8.361159e-34 -3.6901523e-34 --5.16473e-34 -9.553683e-34 --8.772983e-34 --5.404885e-06 --9.677698e-34 --1.2134731e-33 --5.929164e-34 --1.8068964e-34 --5.3849506e-34 --6.6258796e-34 --7.483006e-34 --3.066942e-08 --5.241353e-34 -1.0124461e-33 -9.7782175e-34 -1.4870077e-34 --7.928371e-34 -5.8768693e-34 --1.993442e-06 -5.3291193e-34 -1.2330304e-33 -1.874868e-34 -5.5979833e-34 --5.574018e-34 --2.3422662e-34 --8.577935e-34 -1.0810569e-33 -9.5031445e-34 -1.704431e-34 -1.4467103e-34 -7.284142e-34 -1.0910151e-33 --6.4676967e-34 -3.6354477e-34 --5.696148e-34 -8.004294e-34 --3.8211611e-34 -5.867333e-35 -6.226006e-34 -6.4625153e-34 -7.845455e-34 -6.5990196e-34 --2.188246e-34 --1.0233461e-33 --7.6944628e-34 --1.0998897e-33 -2.7763156e-34 -9.10751e-34 --7.6406986e-34 --1.0880618e-33 -7.5525876e-13 -8.923885e-35 -4.2145297e-34 --5.685855e-34 -9.579559e-34 -9.34183e-34 -3.6356865e-34 -7.0000897e-07 --8.774729e-34 --3.997782e-10 --2.990876e-34 --3.1514416e-34 --1.126688e-33 --3.4268324e-35 -1.1111068e-33 --4.837903e-35 -1.0312671e-33 -5.1768344e-34 --0.27850974 --5.3918052e-34 -0.28989813 --0.12566853 -2.4708184e-34 --5.130763e-34 -4.6223276e-34 -0.11497783 -1.1142661e-33 --0.089270115 -1.135213e-33 -6.1093894e-34 -2.9408286e-34 --7.6222943e-34 -0.4230185 --7.214862e-34 --0.13263777 --2.3313524e-34 --0.1865049 --0.023411727 --7.967435e-34 -8.613035e-34 -1.1984982e-34 --0.24759056 --8.228866e-34 --0.0790582 --4.492546e-34 -5.733223e-34 -5.2163875e-34 --7.3157745e-34 -0.21227108 -2.7709028e-34 --6.745633e-34 -6.267281e-34 --3.1577599e-34 -8.500338e-34 --9.281645e-34 --4.937664e-34 -9.59896e-34 --7.880441e-34 --1.087233e-33 --6.751452e-34 -2.703343e-34 -3.2053715e-34 --4.69543e-34 -4.2090706e-34 --8.070399e-34 -1.1006227e-33 --5.1658335e-09 --9.733681e-34 --8.928952e-34 --2.3766887e-12 --5.6753786e-35 -3.8665035e-12 --1.1130506e-33 -3.7058929e-34 --3.2527453e-34 -5.2411787e-07 --8.359785e-36 -1.0296684e-33 -8.220623e-34 --1.1345396e-33 --0.00036023115 --2.9008918e-34 -6.575304e-34 -7.55008e-34 -6.5478415e-34 -6.899564e-34 -3.665118e-34 -2.8076292e-07 -1.8357539e-34 -8.315749e-10 --3.6885217e-34 -5.1203065e-35 -3.0459327e-34 -6.86769e-34 --1.0298848e-33 --9.761628e-34 -1.051033e-33 -5.77436e-34 -0.41281998 --7.733023e-34 --0.32881027 -0.22670014 -5.6888095e-34 -1.1396954e-33 -5.239555e-34 -0.124144875 --4.7202012e-34 --0.04883901 --5.5399396e-34 --3.4639865e-34 -1.3692973e-34 -5.490813e-34 --0.0015995979 --5.817017e-34 --0.08407924 -2.1268495e-34 -0.17586796 --0.08760846 --9.31929e-34 --2.9615487e-34 -9.865395e-34 --0.011151709 -3.1714493e-35 -0.002079737 --8.4161137e-35 --9.2568343e-35 -9.826398e-34 --1.0049558e-33 --0.026292052 -3.7376445e-34 --2.1909878e-12 -1.2005237e-34 --7.100218e-08 --2.7611775e-34 --7.568097e-34 -6.6594166e-06 --3.7619483e-34 -1.5946448e-08 -1.0291998e-33 --5.944319e-05 -2.9142013e-34 -2.9247025e-34 -7.5787693e-34 --3.5075838e-34 -3.1293297e-34 -5.5040875e-34 -1.6213223e-33 -2.18998e-34 --1.6719673e-33 --1.5608941e-33 -4.4666287e-34 --3.044698e-11 -1.0603e-33 --5.174109e-34 --1.0889196e-33 -1.0825552e-21 -3.6337354e-34 -7.6962783e-34 -1.8956701e-34 -1.06633905e-33 --1.3231506e-33 --3.1205376e-34 -7.4952605e-34 -1.0728348e-33 -0.00015557933 -1.8766868e-34 -7.983763e-34 --2.5139538e-10 --7.3754327e-34 --1.1087233e-33 -5.7776636e-34 -9.842925e-34 --5.942276e-34 -8.7815085e-34 --5.39478e-34 -4.3494113e-34 -1.2337636e-33 -4.6612557e-34 --3.4304452e-34 -9.357212e-34 -6.2951396e-34 -5.455771e-34 --1.8164143e-34 --2.705456e-34 -2.6290303e-34 -1.1063262e-33 -8.603842e-34 -3.805369e-34 --1.4871657e-34 -4.360126e-34 --6.09888e-34 --7.254743e-35 -4.018329e-34 --3.9038636e-34 -5.4873973e-34 -3.2370497e-34 --3.2900746e-34 --7.6295296e-34 --2.1743946e-34 -1.9541744e-34 --1.2415934e-34 --2.2310759e-34 --2.8577804e-34 -3.5367813e-34 --5.6013132e-34 --9.275385e-34 --1.146121e-33 -9.772164e-34 --1.0681684e-33 --1.0131527e-33 -5.75496e-10 -3.6336036e-34 --3.8240073e-09 -6.3026628e-34 --1.4399218e-34 --1.1726599e-33 --8.364259e-34 -6.511467e-35 --2.8101699e-34 -3.220219e-34 --2.39122e-34 --2.121253e-34 -1.8868135e-34 -4.885066e-34 -8.8132395e-34 --8.654334e-34 -5.7311713e-06 --5.3798643e-34 -3.9596123e-34 -3.4205416e-34 --5.7604e-34 -1.7963526e-11 --8.664059e-34 --1.4678427e-33 -2.3033073e-34 --5.125921e-34 --8.324818e-34 -7.578938e-34 -5.0471907e-34 -5.38581e-34 --1.5070983e-06 --3.1055495e-34 --1.0928398e-33 -8.478003e-34 --4.109704e-05 --5.426473e-34 --1.11043e-33 --1.5849925e-34 -5.9695423e-34 --1.2704111e-33 -1.1934203e-33 --4.393917e-34 -1.0876937e-33 -5.360192e-34 --6.3797936e-34 -8.081241e-34 --1.0789745e-33 --6.858431e-34 -6.5414552e-34 -3.7639742e-34 --6.7900227e-34 --8.666273e-34 --5.2137876e-34 --9.916694e-10 --3.000486e-34 -1.1284805e-33 --6.547766e-34 --1.2189671e-33 --6.5708894e-34 --3.751592e-34 --1.3180414e-35 --9.796206e-34 --3.0853265e-34 -6.4292874e-34 --0.19140726 -1.827804e-34 --0.063584074 -0.19664457 -8.551545e-34 -7.4945764e-34 --1.6808597e-34 -0.5183853 --7.3908675e-34 -0.036456037 -8.220924e-34 -1.2205218e-34 --3.0216367e-34 -7.3964208e-34 --0.09924703 --8.754153e-34 --0.15614238 -6.2140195e-34 --0.23858316 --0.01577699 -3.2337225e-34 --1.0608415e-33 --2.6450744e-34 --0.23796539 -3.0993922e-34 -0.10391653 -5.088919e-34 --1.005144e-33 --1.1417993e-33 --6.463768e-34 -0.015776467 -9.833201e-34 -1.9361842e-05 --1.0619212e-33 -8.211181e-34 -1.9022945e-34 --1.3648748e-34 -1.26412075e-33 --3.0241557e-34 --7.9858064e-35 --1.241576e-34 --7.982327e-34 -5.6250385e-34 --9.243649e-34 --4.6836287e-34 --6.8173158e-34 -2.9228736e-34 --3.0005044e-35 -4.2208214e-35 -9.957642e-34 -8.808549e-34 --6.3278427e-34 --3.9547033e-12 --4.9020906e-34 --1.04260765e-33 --3.9336725e-35 --4.986374e-34 -7.824722e-34 -4.4506135e-34 -8.350289e-34 -4.1994536e-36 -6.5205774e-35 --8.538139e-34 --4.7153927e-34 --1.1260207e-33 --8.810556e-34 --2.7796827e-06 --5.540288e-34 --7.913959e-34 -2.7687605e-12 --2.8747174e-34 -4.1990842e-12 -1.96822e-34 -7.107744e-34 --5.8102707e-34 --8.804477e-34 --9.175879e-34 -5.8436726e-34 --3.0989186e-34 -4.5592196e-34 -0.29244223 -9.2604664e-35 --0.6337958 -0.11747242 --1.1389002e-34 --3.882286e-34 -2.318736e-34 -0.18099147 -5.9293354e-34 --0.35310486 --2.6365092e-34 -2.5911564e-34 --4.047892e-34 --8.077442e-34 -0.42267165 -4.6253453e-34 --0.010288277 -3.982575e-34 -0.15635796 --0.0402971 -3.5908652e-34 --1.0831166e-33 --6.8294036e-34 --0.0074995793 -1.2822294e-34 --0.10797584 --5.6732797e-34 --1.8147539e-34 --7.697442e-34 -3.8871615e-34 --0.023190798 -2.7225563e-35 --8.4650875e-34 -1.0017846e-33 -7.1431853e-34 --5.294863e-34 --1.6330959e-34 --6.3580925e-11 --7.5897643e-34 -1.3173177e-34 -9.99788e-34 -4.7256857e-34 --1.1131696e-33 --4.0081235e-34 -4.2337964e-34 -5.9256082e-34 -5.9813395e-34 -5.112387e-34 -0.00012084159 --1.3614906e-34 -0.0001587389 -0.00027532276 --8.872543e-34 --5.1087477e-06 --1.0518568e-33 --1.9295491e-08 -5.641751e-34 --1.0560979e-09 --1.0448769e-33 -3.7889948e-34 -7.993027e-34 --5.6234134e-35 --9.014383e-34 --1.0572107e-33 -1.1353449e-11 -6.4272293e-34 -4.421075e-09 -6.868083e-35 --1.0571516e-33 -3.7197283e-09 --6.9651874e-34 -9.695463e-34 -7.944092e-34 -1.1685608e-33 --4.5028308e-34 --7.115181e-35 -7.3303107e-34 --6.8286665e-35 --7.802507e-34 --6.437542e-34 -1.9909642e-34 --3.7753274e-34 --7.60368e-34 --1.7040242e-34 -1.1386433e-33 --8.875069e-34 --6.3694487e-34 --7.3512423e-34 -2.8910824e-34 -1.7659353e-34 -9.347683e-34 --4.156864e-34 -4.972941e-34 -3.3628354e-34 -5.830736e-34 --3.0150732e-34 --8.233276e-34 --3.1383495e-35 -2.087492e-34 -8.890585e-34 --8.102646e-37 --6.5525774e-36 --9.034619e-34 -4.376831e-34 --5.866834e-34 -1.0186707e-33 -7.4296693e-34 -6.211888e-34 -8.801365e-34 --2.268807e-34 -5.1750523e-34 -3.299025e-34 -5.796642e-34 --8.896171e-34 -5.578808e-34 -4.9581323e-34 -6.4699723e-34 --7.0769756e-34 --1.19966545e-33 -7.0673953e-34 -7.05346e-34 -4.1884627e-34 --1.12352905e-33 -4.2185425e-34 --3.2950888e-34 --3.7488425e-34 --3.3771177e-11 --8.808563e-34 --1.5598222e-34 -1.0165714e-33 --6.47965e-34 -7.5044147e-34 -1.026445e-33 --1.228997e-33 --1.10305635e-33 --5.2311364e-11 --1.1562222e-34 -1.1130543e-33 --1.0007263e-33 --1.01099595e-33 --3.0998594e-34 --1.0716936e-33 -2.2487727e-09 -8.345057e-34 --1.1368882e-33 --1.1043123e-33 --7.535859e-34 -4.2083653e-34 -3.658954e-34 -7.9124435e-34 --2.8642095e-34 --2.7330538e-34 -5.2477594e-34 --6.734306e-34 -7.9325e-34 --4.1627235e-09 --5.551061e-34 --8.447007e-34 --2.956326e-34 --9.09506e-34 --8.1082294e-35 --9.298603e-34 --6.994444e-35 -4.14153e-34 --8.361233e-34 -1.2094603e-33 -1.7423269e-34 --2.8192202e-34 -4.0486973e-34 --1.9984236e-11 -7.3694436e-34 --3.9444034e-34 -2.9806312e-35 --5.956083e-35 --2.048821e-34 -8.7837465e-34 --0.36211687 --3.3017997e-34 -0.15384406 -0.08862618 -6.7035155e-34 -4.3412962e-34 -4.059642e-34 -0.5178421 -3.6524478e-34 -0.05238888 -7.5933657e-34 --1.1675447e-33 -3.9904856e-34 -1.1105948e-33 --0.37640157 --4.0900086e-34 --0.062458746 --1.0730692e-33 --0.027082779 -0.080578834 --4.633041e-34 --4.530284e-34 -1.0936499e-34 --0.14923494 -7.1407797e-34 --0.07070309 --3.3338574e-34 --8.085618e-34 -1.7928872e-34 --1.1199583e-33 -0.09681295 -7.276218e-34 -9.599146e-34 -7.207826e-34 -9.768358e-34 -8.975072e-34 -1.9093794e-34 -7.2762513e-34 --3.2334824e-34 --2.9064745e-12 -4.013213e-34 -4.0438475e-34 --4.5565935e-34 --1.0043086e-33 -8.759479e-34 --9.910377e-34 --7.610929e-34 --4.888411e-34 --3.2718416e-35 --1.0477778e-33 --2.1204017e-34 -8.645304e-34 -6.9717835e-34 --8.379399e-35 --1.0066631e-33 -2.8714593e-34 -9.713732e-34 -1.1990164e-33 --6.121631e-34 -9.115486e-11 -4.997967e-34 -5.116599e-34 -2.604535e-34 -2.8184346e-34 -5.2637483e-10 -1.0213059e-33 -1.9115168e-08 -5.193145e-34 -2.7004356e-34 -7.9466645e-07 --6.4467067e-34 --5.138896e-05 -3.7200052e-34 --9.9038485e-34 --1.00663725e-33 -5.388432e-34 -7.384395e-34 --1.7882649e-34 -6.6676556e-34 -5.308143e-35 -0.3085215 --5.7363665e-36 --0.26436698 -0.08949269 --1.059043e-33 -5.976881e-34 -2.315531e-34 --0.0012108347 -2.5543006e-34 --0.23148128 -3.3166614e-34 -1.1230646e-33 --7.728616e-34 -7.2707724e-34 -0.42612353 --9.032372e-34 -0.104730055 --8.3849555e-34 -0.18305558 -0.023740025 -6.0490058e-34 -3.9095046e-34 -8.53444e-34 --0.1089348 --1.1939955e-34 --0.05808889 --6.634987e-34 -4.78111e-34 --4.5492733e-35 -4.945961e-34 --0.054001477 --9.641615e-34 --5.31322e-34 --2.6618904e-34 -1.0935925e-33 --1.0241855e-33 --8.903209e-34 --4.929612e-34 -2.8256855e-34 --1.3144966e-34 --6.7062113e-34 --7.2935145e-34 -8.573545e-34 -8.471397e-34 --1.4743546e-35 --9.44282e-34 -1.738906e-34 -1.1131614e-33 -2.125601e-05 -4.1708744e-34 --1.0312398e-06 -2.0733253e-06 -5.3393727e-34 --1.2232694e-33 -2.8408245e-34 -6.488542e-08 -1.1920583e-34 --2.2601434e-06 -6.818873e-35 -4.0517637e-34 -2.1339998e-34 --9.490053e-34 --5.1208454e-10 --4.5938705e-34 -4.66277e-34 --1.2066743e-34 --9.449006e-34 --1.2203303e-33 -8.733633e-34 -1.2198252e-33 --4.0798906e-35 -1.0284607e-10 --6.9733856e-34 -8.788348e-34 --4.9698285e-34 --5.431733e-34 -1.3129859e-35 -6.078231e-34 -4.014544e-34 -7.6062736e-34 -2.9200251e-08 --4.717179e-34 --1.2967437e-33 -5.414797e-34 --5.063736e-35 --2.4320636e-34 -7.272597e-34 -6.20051e-34 --2.0043508e-34 -5.411682e-34 --4.64439e-34 -1.1910535e-33 -9.698111e-34 --4.0366875e-34 --4.1627993e-34 -5.1367303e-34 --3.73968e-34 -1.0886673e-33 -6.118899e-34 --2.0255614e-34 -9.286398e-34 -1.0627323e-33 -2.7080864e-34 -2.1941615e-34 --1.07358505e-33 -7.823209e-34 --7.774352e-34 --1.0672218e-33 --4.494152e-34 --1.0940578e-33 -1.4762933e-34 -7.3741405e-34 -1.1666488e-33 -1.1387543e-33 -1.3641977e-33 -1.1899897e-33 -8.890536e-34 --1.1785899e-33 --1.1033425e-33 --4.1134294e-34 --5.4348063e-34 --7.206423e-34 --1.0072067e-33 --9.136912e-34 --5.5023017e-34 -5.689187e-34 --1.6520545e-34 --3.36877e-34 -1.1261333e-33 -9.813885e-34 --6.632288e-34 --1.1499797e-33 --7.2766434e-34 -1.0556898e-33 -1.4764412e-34 -7.596941e-34 --6.8475792e-34 --1.1704434e-34 --1.3079611e-34 --5.5363607e-34 -6.5701346e-34 --6.0480015e-34 --8.847887e-34 --6.8180105e-34 -3.1362042e-34 --1.1748074e-33 --5.6875413e-34 --2.403504e-34 -9.912797e-34 --1.2379204e-34 -2.9109648e-34 --3.2655876e-34 --6.4548874e-34 --4.5505517e-34 --8.510697e-34 -1.2415395e-11 --9.208527e-34 --1.2019356e-33 -7.350366e-34 -1.067539e-34 -1.0340559e-33 --3.361889e-34 --3.71994e-05 --4.0817572e-35 -1.962936e-34 --1.067032e-10 --2.4731152e-34 --9.015588e-11 --7.353754e-34 -2.5400817e-34 --1.1229833e-33 --8.273346e-34 --1.1739194e-34 --1.7090248e-34 --5.2680147e-35 --5.6313568e-34 --0.09123993 --9.9119695e-34 -0.41360375 --0.1877755 -7.92792e-34 --3.854173e-34 --8.164109e-35 --0.009699723 -1.018368e-34 --0.10500952 --8.6425265e-34 -8.351983e-34 -4.0572233e-36 --7.877133e-35 -0.033512 -1.5620047e-34 --0.08762843 --8.135332e-34 --0.00060700136 --0.077919886 -8.264529e-35 --2.4035941e-34 --6.30679e-34 -0.24591169 -4.628615e-34 --0.11219753 --7.983386e-34 --6.36237e-34 --7.727853e-34 --7.3651554e-34 --0.027446996 --3.864444e-34 -1.0962014e-33 --3.0746818e-34 --1.3181171e-33 --8.6857865e-34 -8.951638e-34 --0.00046201068 -3.4405934e-34 -3.538767e-34 --6.6584606e-34 -4.616607e-34 --9.7115835e-34 -6.368991e-34 -4.826994e-34 --7.575804e-34 --2.5375984e-34 --8.222524e-34 -1.0170096e-33 --1.0436629e-05 --4.5869544e-34 --5.4582648e-34 --6.580873e-34 --7.7178884e-35 --5.1413956e-34 --9.3288885e-34 --9.845828e-35 --4.469969e-34 --7.3462565e-34 --1.1268171e-33 -1.1357744e-33 -2.7538012e-34 -1.576503e-34 --6.059116e-34 --2.3671892e-10 -1.887989e-34 --4.8898173e-12 --2.1449833e-34 -3.5077284e-34 --4.641897e-05 --9.021015e-34 --3.3924473e-34 -4.1382204e-34 -7.755368e-34 --6.91951e-34 --1.0341621e-33 --2.5406474e-34 --4.5351876e-34 -1.036617e-33 --4.789171e-34 --0.0058731637 --4.3121894e-34 -0.15982518 --0.12874162 -8.7583935e-34 -7.5211178e-34 --1.19064335e-33 -0.102351286 -4.887435e-34 --0.20841311 -5.413336e-34 --1.152178e-33 -1.6044019e-34 --2.6591542e-34 -0.12788232 --1.13708085e-33 -0.2730362 --8.57558e-34 -0.26355243 --0.051532403 -1.1029517e-33 --5.896599e-34 --5.487135e-34 --0.13109332 -4.486392e-34 --0.029780656 -1.9871052e-34 -1.6106412e-34 -2.349185e-34 -4.977614e-34 --0.0548841 --3.7279587e-34 -1.6229461e-09 -2.4703055e-34 --8.948577e-06 --4.5281442e-05 --6.853573e-34 -1.0943677e-05 -5.140772e-34 --6.1462066e-05 --4.3349164e-34 -1.41333585e-05 --6.866936e-34 -1.0608128e-33 -5.0066104e-34 -3.7475793e-34 --1.9572002e-10 -5.635353e-34 --0.0011386302 --9.294963e-34 -0.03168122 --0.00074866135 --1.1146915e-33 -2.4106528e-12 --9.62962e-34 --0.00048040142 --5.8262367e-34 -0.040243782 -1.7329218e-34 --1.0203666e-33 -9.85483e-34 --5.826041e-34 -0.00081395207 --5.984181e-34 -8.52264e-12 --1.07436e-33 --4.608664e-06 -4.5590483e-34 --8.236665e-34 --1.7111615e-10 -4.2959704e-34 -1.236633e-05 --3.414485e-34 --1.7340782e-34 -5.1017465e-34 -1.1168087e-33 -2.1607763e-34 --7.86408e-34 -7.486887e-34 --7.6848356e-34 -1.6245426e-06 -4.020143e-34 -5.6879233e-35 -9.047016e-34 -1.1101163e-33 --2.1038116e-34 --5.665375e-34 --8.3926155e-34 -3.776772e-34 --1.0714455e-33 -8.11368e-34 --1.0894311e-33 -1.1467693e-33 --6.246355e-34 --1.434211e-35 -6.3637017e-34 -8.640121e-34 --4.741803e-34 -7.706756e-34 --7.3833976e-34 --7.0149104e-34 --7.3903985e-13 --2.115347e-34 -1.0944122e-05 --9.2131017e-35 --2.2627691e-07 --1.1075209e-33 -3.104559e-34 -6.8150566e-34 -3.620629e-34 -2.1813594e-11 --1.0545529e-33 -6.6303035e-14 --9.021287e-34 -1.3460156e-06 -8.003313e-34 --5.9171713e-34 -8.7737135e-34 --1.0786366e-33 -4.125368e-34 -1.1129757e-33 -3.0321162e-10 -4.4076964e-12 -1.0220159e-33 -1.1228851e-33 -6.091538e-09 -1.3420325e-33 -3.387284e-34 -9.980814e-34 -4.0109552e-34 -1.6604184e-09 --1.0383347e-33 --5.837382e-34 --4.730483e-34 --5.4843786e-34 -9.886907e-34 --1.0223211e-33 --1.1355525e-33 -8.891664e-34 -5.995113e-34 -1.0569366e-33 -2.564235e-34 --3.6554495e-34 --9.558071e-34 -1.0127163e-33 -5.9485524e-34 -7.8452493e-35 --2.6036098e-34 --6.9208644e-34 --1.1254345e-33 -6.0796127e-34 --1.2095888e-10 --4.7366086e-34 --3.1696764e-34 --7.5817622e-34 --8.648141e-34 --8.393478e-34 -1.09646715e-33 --5.0632325e-34 -9.415069e-34 --5.7545833e-07 -1.1584403e-33 -1.703644e-34 -1.1645182e-33 -8.684347e-34 --6.799696e-09 --7.912732e-34 --7.456012e-11 --5.588523e-34 -1.0703405e-33 -1.1406002e-33 --4.9017467e-34 -4.0350203e-34 --3.350305e-34 --0.000115223185 -4.6186376e-34 --0.017416961 --1.1156649e-34 -0.45825797 --0.20724474 --5.2748376e-34 -3.5761307e-34 --3.1268804e-34 --0.037898295 --7.146319e-34 --0.01242692 --6.473879e-34 -4.6713204e-34 --2.513145e-34 -5.631426e-34 --0.008190117 -1.9553515e-34 -0.06163493 --4.9023097e-34 --0.1338329 --0.22932035 --7.1963355e-34 -6.742621e-34 --4.5228633e-34 -0.25953358 -5.336131e-34 -0.070252806 -2.4512513e-34 -1.2089024e-34 --1.0506789e-33 --1.1138424e-33 --0.16046366 -1.2085531e-34 --2.292991e-34 -7.1771686e-34 -1.9359308e-34 -2.631706e-34 --6.2438894e-34 --1.2954925e-33 --4.215388e-34 --1.2422148e-33 -2.8662545e-34 --5.8971705e-34 --2.6336577e-34 --1.1622688e-34 --4.977528e-34 -5.1849518e-34 -1.0981822e-34 --6.872671e-34 --6.6173743e-06 --1.16160405e-33 --6.82063e-12 --8.042145e-34 --4.8600814e-34 -1.6987287e-11 --1.4184562e-07 -8.886169e-07 --1.8929481e-34 --8.541816e-34 --1.0776589e-33 --2.9784088e-36 --1.2114277e-33 --2.4112376e-34 --2.8304802e-07 -6.3460853e-34 -6.113452e-35 --2.2740843e-34 --0.0014115414 --5.3224327e-34 -1.1582987e-33 -7.2362257e-34 -9.957622e-34 --4.484158e-06 --1.2159603e-34 -8.318503e-34 -3.374495e-34 --7.709309e-34 -7.7618627e-35 -1.0769069e-33 --6.0335186e-35 -3.2897665e-34 -0.093123436 --1.1571549e-33 --0.040279888 -0.008651342 -7.0393244e-34 -6.10275e-34 --7.3853174e-34 -0.046990618 -3.2305225e-34 --0.0923792 --3.2527697e-34 -5.1128044e-34 --3.909352e-35 --3.2005818e-34 -0.08163342 --1.308344e-34 -0.30898374 -6.737733e-34 -0.19440676 --0.112236656 -5.126948e-34 -1.2176115e-33 -1.0421136e-33 --0.039474033 --1.8216893e-34 --0.10340586 -3.4281748e-34 --5.9993916e-34 -1.0426973e-33 -2.1242971e-34 --0.051299065 --3.5262815e-34 -4.3567215e-06 --1.0659708e-33 -1.6610608e-07 --0.0013358655 -1.0122678e-34 --1.1370335e-08 -7.4796297e-34 -4.4498266e-11 -1.818918e-35 -2.2507187e-12 --3.0347063e-34 -7.5528836e-34 --5.7537124e-34 -1.1773548e-33 -1.7372608e-07 --3.5460486e-34 -0.0027562445 --1.804323e-34 -0.004209256 --0.0082800295 --1.0750193e-33 --4.58193e-34 --6.410036e-34 --1.725019e-06 -5.183113e-34 -0.03702477 -9.225715e-34 --2.693217e-34 --1.6742713e-34 -7.4588593e-34 --1.0045718e-05 --3.7755359e-34 --8.412455e-34 -1.0233383e-33 --5.020066e-34 --3.5016776e-34 -3.5385355e-34 --2.1506753e-06 --2.7129436e-34 -4.7154294e-12 -7.704256e-34 --2.8341582e-34 -9.500861e-34 -2.8560943e-34 --9.501462e-34 --5.9330667e-35 --9.736003e-34 --1.4928334e-34 --1.136994e-33 --8.8760045e-34 -6.8602626e-34 -9.1437e-34 -8.3246543e-10 -1.2498561e-33 --4.6010617e-35 -2.8237626e-11 -5.349989e-34 --2.0312836e-34 -1.9391937e-34 -1.2122823e-33 --1.34638e-34 -5.409633e-34 -6.777344e-07 --3.3583391e-34 -4.354795e-34 -6.794801e-34 --1.377284e-34 --1.6660109e-34 -5.5998e-34 --8.317005e-34 -2.5588248e-34 --1.2555612e-09 --9.3173585e-34 --2.7072349e-09 -7.426858e-34 --1.1737895e-33 --3.6420755e-34 -3.4391358e-34 --4.500615e-34 -5.17158e-34 -1.0645189e-33 --5.137072e-34 --7.905905e-34 -9.014778e-34 -4.847254e-34 --6.4924904e-34 --1.011842e-33 -6.8197186e-34 -1.0586517e-33 --6.0964957e-34 --8.132746e-34 -4.18044e-34 --5.952042e-35 -4.322131e-34 --5.419132e-34 --7.151277e-35 --4.824359e-06 --1.1139251e-34 -2.5866312e-08 -1.1963006e-33 --6.2427116e-34 -3.73049e-34 -1.1859114e-33 --4.966811e-05 -5.0954204e-34 -7.298762e-34 -1.1226233e-33 -1.4935773e-34 -7.287241e-34 --6.858386e-34 --1.0475563e-09 -7.97378e-34 -2.990407e-09 --1.0368808e-33 --1.18496e-33 --6.3340515e-09 --6.231784e-34 -5.756396e-35 --5.2094824e-34 --5.188085e-06 --4.979822e-34 -8.946776e-34 --3.0915648e-34 -1.0535919e-33 --1.163821e-33 --1.1524929e-33 -5.28514e-34 -2.6771755e-34 --1.5618329e-10 -5.346177e-34 -5.400985e-34 -1.0075921e-33 --7.3412304e-34 --2.8784367e-34 -4.3482e-34 --4.8133077e-34 --7.063665e-34 --5.5865663e-34 -6.4874326e-34 -9.288676e-34 -2.3742038e-34 -1.0056832e-33 -1.486234e-05 -9.262981e-34 --0.1525144 -2.7601647e-34 -0.13236757 --0.21012425 -3.6952687e-34 --9.512922e-35 --5.8444013e-34 -0.24317567 -4.892229e-35 --0.02211526 -6.4782554e-34 --5.8302385e-34 -3.3349142e-34 -1.1119235e-33 -0.0043675643 --5.948715e-34 -0.16116236 -4.9438354e-34 --0.12835877 --0.28473157 -2.111405e-34 -6.5934103e-34 -1.008871e-33 -0.09373826 -8.652622e-34 -0.008639153 -6.0829808e-34 --2.4154724e-34 -2.5962375e-34 --4.302531e-34 --0.12309481 --5.342094e-35 --9.727238e-34 --9.241243e-35 -3.0232851e-34 --7.869029e-34 -7.1382216e-34 --1.4348338e-05 -7.1161866e-34 -8.33161e-34 --9.998344e-34 -9.706167e-34 --1.0692639e-33 --1.1562298e-33 -1.5515814e-35 --5.404948e-34 -3.1607494e-11 -7.0514943e-06 -6.379878e-34 -1.0155992e-33 -1.1215186e-33 -1.1011738e-06 --1.1649384e-33 -8.381686e-34 --9.053147e-34 -1.1809163e-33 -2.4413447e-34 --2.9523157e-09 --8.753688e-34 -8.889176e-34 -1.8950512e-34 -3.850469e-34 --5.6067914e-11 --9.132362e-34 -2.314226e-07 --5.618693e-34 -8.660641e-11 --6.5128757e-12 -2.292686e-34 --8.197361e-09 -3.3464276e-34 --1.7741618e-08 --1.7544033e-34 --1.4778498e-06 -5.5074355e-35 -7.1290624e-34 --1.1604151e-33 --2.6277979e-34 --1.1015669e-07 --3.284434e-35 -0.23396042 --5.126437e-34 --0.1168627 --0.022181569 -1.1546253e-33 --6.8789994e-34 --1.8392388e-34 --0.07682416 --2.660555e-35 --0.044292398 --9.326734e-35 --5.4535233e-34 -9.708074e-34 --7.053993e-34 --0.17611082 --1.1487861e-33 -0.066828094 -6.0440476e-35 -0.031234315 -0.023366416 --9.905358e-34 --8.593041e-34 -1.0431913e-33 --0.05521146 --9.460733e-34 -0.016463766 --1.0723664e-33 --3.6828927e-34 -1.5850825e-34 --4.9270432e-34 --0.04295995 -1.4815464e-34 -3.34999e-34 --2.0325181e-34 --2.6645518e-34 -7.873138e-34 -3.2371792e-34 -2.8141235e-12 --1.6294097e-35 --2.9545198e-13 -2.9610113e-34 --1.03432946e-07 -1.374984e-34 -8.271965e-34 --5.311723e-34 -1.8588202e-34 -1.1717755e-33 --1.0112705e-33 -4.6763744e-06 -2.9484016e-34 --5.117052e-07 --3.904779e-07 --4.0395423e-34 -2.8741937e-12 --8.291401e-34 --6.651173e-10 -8.368108e-34 --1.1351589e-05 --8.054555e-34 --8.24557e-34 --4.674559e-34 --5.578753e-34 -1.1589331e-09 -4.8838686e-34 -9.58476e-10 -6.744198e-35 --1.6466511e-10 -9.789781e-34 --4.7815235e-34 -0.0005408523 -1.0925526e-33 -7.642831e-11 -1.0215005e-33 -5.4131956e-34 --5.4740173e-34 -3.2096065e-34 --6.054436e-34 --6.1911386e-34 -1.385467e-34 --4.308681e-34 -1.1875992e-08 --1.1008344e-33 -7.647296e-34 -4.626649e-34 -2.5890777e-34 -7.0834624e-34 -5.262143e-34 --4.1189307e-07 --5.500749e-34 --8.7698606e-35 --4.6655222e-35 -8.831147e-34 -6.2957714e-34 --9.183281e-34 -0.00013496414 --1.1582164e-33 -7.051629e-34 --5.2378995e-34 -3.643048e-34 -9.525065e-34 -3.19941e-34 --2.1496093e-34 --2.0497132e-35 --1.2017797e-33 --1.8980047e-34 --5.550769e-34 --3.6611816e-34 -6.092307e-35 -1.04059e-33 -2.4625785e-34 --1.875758e-34 --5.899953e-35 -1.3031912e-33 -1.9056233e-34 -8.928901e-34 -1.1218294e-08 --4.7998474e-06 --6.2830393e-34 --4.6764545e-34 --2.4704226e-34 -2.1088369e-34 -1.0852928e-33 -2.2880777e-34 --4.703311e-34 -1.0982052e-33 --8.605868e-34 --1.8806051e-05 -1.4037577e-34 -8.017564e-08 --8.158972e-34 --1.10953e-33 -7.1415805e-34 --7.102829e-34 -4.821632e-35 --7.244224e-35 --1.8112103e-06 --7.4424625e-34 --1.0471833e-33 -1.0439091e-33 --1.2609347e-34 -8.968338e-34 -5.7008436e-34 -9.522445e-34 --9.933515e-34 --5.1213644e-34 --2.1136656e-34 -7.0563457e-34 -8.127162e-34 --1.5593814e-34 -1.620645e-08 --1.0811517e-33 --1.5598863e-12 --2.2197741e-35 --9.997392e-34 --1.0057383e-33 --7.718869e-34 --5.3684974e-34 -7.905023e-34 --1.2490127e-33 -5.4805615e-34 -2.2306475e-34 --2.9615986e-34 -2.5135984e-09 --2.5968216e-10 -7.595197e-11 -1.4730707e-34 --5.839066e-34 -1.0589533e-06 --7.5111467e-34 --1.3931779e-06 --7.465404e-35 --8.202518e-34 -1.0709371e-33 --3.8870416e-34 --3.4132533e-34 -5.72189e-34 --0.02528409 --2.5287414e-34 -0.1069559 --0.118189394 --1.1858148e-33 -1.0517163e-33 --1.147203e-34 -0.29556668 -5.5505103e-34 --0.070800215 -5.6977717e-34 --6.3861904e-34 -2.831215e-34 -9.218669e-34 -0.048474047 --9.930278e-34 -0.0144573385 --1.0134209e-33 --0.042563893 --0.3783119 --5.7380127e-34 -1.0754572e-33 -1.4161159e-34 --0.09334284 --7.229846e-34 -0.117495544 -6.159584e-34 --9.872689e-34 -3.4339767e-34 --2.741722e-34 -0.062707454 --3.7880797e-34 -0.00014375141 --1.0177616e-33 --4.7427964e-34 --5.4098307e-34 --1.0488791e-33 -2.7285648e-34 -8.865453e-34 -1.35573e-33 --2.1685515e-34 --5.484426e-34 -9.705914e-34 --5.2537737e-34 -4.4056093e-35 --1.0807763e-34 -1.1139432e-06 --7.0055643e-34 --5.172489e-12 -4.2654064e-13 --0.00032467901 -6.783087e-12 -3.3225531e-34 -1.6297181e-09 -2.818277e-34 --4.0976558e-34 --5.320628e-34 --5.6110294e-34 --1.1192205e-33 -6.6466657e-34 --8.69871e-34 --3.6433052e-34 --6.944549e-34 -1.535237e-36 -3.626547e-34 --5.524985e-34 --1.060694e-10 --6.481529e-34 -4.72296e-34 -1.1830675e-33 -4.8786556e-34 --0.0010306776 --7.0872152e-34 -5.3683377e-11 -3.8019367e-34 -1.9578956e-34 -1.0964159e-33 --3.5934959e-34 -1.6224042e-10 -7.666531e-34 --0.053692404 -4.4975966e-34 --0.21069527 -0.13951497 -9.878443e-34 -4.3742973e-34 --3.5967845e-34 -0.01712132 -1.3530377e-34 -0.06496062 --6.8451956e-34 -6.1314233e-35 -1.0070084e-33 --6.165235e-34 -0.049292237 --3.6392688e-34 --0.026707947 -2.739641e-34 --0.008512862 -0.058104124 -1.5477367e-34 -9.671178e-34 -1.1392644e-33 --0.040658932 -5.67776e-34 --0.022424132 --4.146646e-34 --1.1528432e-33 --8.664784e-34 -5.658931e-34 --0.027463455 --1.1691816e-34 --3.9959405e-06 --6.9236374e-34 --3.5353293e-10 -9.47892e-34 -1.7565155e-34 -6.0182083e-07 -2.7323273e-34 -3.806125e-11 --2.4508208e-34 --1.853745e-06 --4.0614487e-34 --9.145385e-34 -1.0111855e-33 --8.277818e-34 --1.1814091e-33 --1.3563841e-34 -1.7549277e-05 --8.93512e-34 --1.9713443e-05 -0.00011394553 --7.946621e-34 --3.922559e-07 --2.3239973e-34 --0.0005657847 -8.01693e-34 --0.000612947 -9.879057e-35 --2.7140874e-34 -6.39513e-35 --1.2803231e-34 --0.0007125512 --5.889949e-34 --2.460339e-34 --4.315398e-34 -1.0087953e-33 --1.0619739e-34 -4.4583443e-34 --1.2463296e-33 --6.112974e-34 -2.064162e-06 --1.78315e-34 --1.6822825e-10 --1.07878505e-33 --1.9594253e-34 --7.424961e-34 --3.1984825e-34 --1.0591733e-33 --6.706975e-34 -1.5457946e-35 --9.859732e-34 --2.1168302e-34 --9.5275645e-34 -3.2427463e-34 -6.192117e-34 -3.858045e-34 -2.1814824e-34 -2.8604397e-34 -9.789076e-34 --5.4995067e-34 --6.5603247e-34 -7.1234076e-34 --9.8667515e-34 --6.1677307e-34 --9.249426e-34 --6.641117e-34 -3.946123e-35 -1.3301042e-33 --8.933088e-34 -5.721021e-35 -1.139677e-33 -3.282784e-34 --6.098347e-34 --5.392243e-34 -8.601479e-34 --7.921317e-34 -9.871363e-34 --9.281491e-35 -4.009927e-34 --1.0914818e-33 -6.2525573e-34 -4.1526724e-05 --1.0626973e-08 --5.8463505e-34 --1.3667179e-34 -1.1583909e-33 --9.218432e-34 --1.2780195e-35 -1.1245484e-34 --1.0175197e-33 -5.1011827e-11 --2.05112e-34 --2.5389796e-34 -2.831134e-34 --4.431009e-13 --4.5879104e-34 --8.169428e-34 -2.0713092e-34 --8.795793e-34 --5.0147324e-34 -7.953013e-34 -3.7137283e-34 -6.4248563e-34 --2.1865249e-34 -5.110726e-34 --5.968311e-34 --9.189991e-34 --2.7694867e-34 -2.5693896e-34 --5.759464e-34 -9.245038e-34 --1.1318982e-33 --5.4093715e-34 -1.0429924e-33 --8.343299e-34 -4.877062e-34 --5.971427e-34 -1.0886988e-33 --3.4760984e-34 -1.0766059e-33 -1.0810866e-33 -6.0204266e-34 -7.363864e-34 --1.6223879e-34 -9.47669e-34 --8.001193e-34 --2.8013867e-34 --5.7556244e-35 --1.0709308e-33 --5.253784e-34 -7.940594e-34 -3.6924968e-34 --2.7326373e-34 -9.8384175e-34 --4.7420423e-07 --8.59809e-34 --8.938377e-05 -3.795698e-34 --4.7980557e-34 -1.01266065e-33 --2.0582957e-34 --4.205648e-34 --2.6143628e-34 --1.1141291e-33 -4.61827e-34 -0.02945797 --4.8265183e-34 -0.089100026 --0.0867957 --8.37406e-34 --8.42513e-34 --5.234079e-34 -0.10202848 -5.8135598e-34 -0.033974275 -6.1656965e-34 -3.5622087e-34 --1.1921276e-33 -7.780177e-34 --0.004765421 -4.8423553e-34 --0.048276234 -1.1093786e-33 -0.2894321 --0.23575366 -2.9451292e-34 --6.358759e-34 --7.768329e-34 -0.19649248 --1.0875569e-33 -0.06572862 -7.167919e-34 -9.605479e-34 -6.896939e-34 -7.5179908e-34 --0.13013193 --1.235913e-34 -8.762506e-34 -5.208932e-34 --1.2641531e-33 --1.20437845e-33 --5.16297e-34 -8.936475e-34 --1.0530632e-33 -1.2070637e-34 -4.07341e-35 -1.4011388e-34 -6.273473e-34 -5.0928297e-34 -5.5033376e-34 -4.300192e-34 -6.204482e-35 -0.0002756464 --9.048368e-35 -3.557565e-05 -3.4560535e-34 --2.5918524e-08 --4.430675e-34 -5.858954e-35 -8.155198e-34 -1.6674328e-34 --2.876312e-34 --1.08936e-33 -3.618447e-35 -6.4171706e-34 -1.6900082e-34 -4.009218e-34 -2.2101842e-34 --9.708835e-35 --0.00022207852 --7.967528e-34 --1.7386202e-09 -3.0492911e-34 -4.5040352e-35 -1.8187183e-08 --5.202817e-34 --1.2376765e-33 -1.4474734e-34 -2.4694491e-34 -9.520573e-34 --6.479546e-34 -3.7902663e-34 --4.1558556e-34 --1.1048563e-33 -9.951805e-34 --0.0116846645 -9.22826e-34 --0.03648602 --0.11159993 --3.133497e-34 -1.0370097e-33 -1.1288147e-33 -0.055017125 --1.2486593e-34 --0.11798242 -1.1135348e-33 --1.0194698e-33 --1.1098243e-33 -3.6836632e-34 -0.065631695 -5.305525e-34 --0.14252198 --7.602933e-34 --0.027942821 -0.016731068 -5.872094e-34 --5.3175737e-34 --1.071117e-33 -0.114694156 --9.699821e-35 -0.0413528 -6.2485827e-34 --8.615281e-34 -5.1216913e-34 -7.576563e-34 -0.031042343 --4.65356e-34 -1.1371732e-34 --1.14529e-33 -0.00015682333 --1.0553618e-33 --1.21252095e-33 --0.0002817785 -4.76089e-35 --9.844825e-13 -1.7678181e-34 --7.898147e-34 -2.0995275e-34 -8.056651e-34 -1.1566589e-35 -7.12565e-34 -4.3047832e-05 --1.6358121e-34 -4.3281875e-06 -2.948673e-34 --1.8295356e-09 --6.052298e-07 -8.732637e-34 --1.9077947e-07 -1.8831672e-34 -1.4322077e-10 -4.2477926e-34 --1.7510486e-09 -7.5169466e-34 -5.713512e-34 -7.912331e-34 --8.771967e-34 -7.763675e-12 -1.2012011e-34 -1.389568e-33 --9.477083e-34 -2.9411027e-07 --1.6136617e-34 -4.9260588e-34 -0.000568638 --2.7053975e-34 --6.391444e-06 -1.0489407e-33 --4.9876533e-34 -6.826128e-34 -8.818265e-34 --2.8488542e-34 --1.791816e-34 --6.986885e-34 --1.1348007e-33 --5.1038316e-34 --1.6467266e-34 --1.7272762e-34 --1.0246299e-33 -2.5420433e-35 -5.404351e-34 --9.869063e-34 -3.0632437e-34 --8.112303e-34 --8.322216e-34 -2.1771317e-34 --9.191024e-34 --1.5500261e-34 --3.2196446e-34 -1.7274098e-34 --1.1842912e-33 --1.1589598e-34 -4.5153713e-34 -4.0488383e-34 --7.229618e-34 -4.384998e-34 -1.1246315e-33 -4.8516716e-34 --6.5831095e-34 -4.8769557e-34 -4.92319e-34 -1.1546512e-33 -8.05137e-34 --5.5245957e-34 --4.511866e-34 -1.0115424e-33 -6.5148395e-34 --3.1128788e-09 -8.333157e-34 --6.4621865e-34 --9.469812e-34 -7.9008355e-34 -2.0551786e-11 -8.544477e-34 -6.567237e-34 -1.9057776e-34 -9.1315854e-08 --6.07375e-34 --7.2266454e-34 -9.083633e-34 --1.0800211e-33 --5.583631e-10 -1.1496466e-33 --9.191892e-34 --3.4017806e-34 --1.0761016e-10 --1.1384104e-33 --1.8872585e-34 -2.460677e-35 -8.9603205e-35 --3.139233e-34 -6.1958333e-34 --7.1968315e-34 -5.360847e-35 -5.2447647e-34 --6.197601e-34 --1.0209827e-34 -1.1725115e-33 -4.9627737e-34 --5.136769e-34 --1.0686874e-33 -6.117886e-34 --6.7244007e-34 --6.8247145e-34 -1.0644335e-33 --9.998092e-34 --4.362852e-34 --4.9056667e-34 -5.126149e-34 -6.9575527e-34 -9.021618e-34 -5.1913357e-34 --8.078603e-34 -3.4524219e-34 -7.3808804e-34 --6.7895185e-34 -3.9856835e-35 --5.8820525e-08 --7.772905e-34 -1.2099407e-33 --3.4239506e-34 -6.882691e-34 -2.564341e-35 -4.691634e-34 -5.593825e-34 --7.192901e-34 -8.293764e-34 --5.088987e-34 -1.300448e-35 --1.929074e-34 -6.047684e-34 --0.037748102 --5.1646993e-34 -0.16248792 --0.071920514 -8.0109095e-34 --4.7511076e-34 --1.1705117e-33 -0.24741383 --3.8911935e-34 --0.13154669 --2.9194036e-34 -9.243777e-34 -6.866264e-34 -5.230402e-34 -0.049568195 --3.7083447e-34 --0.011019367 --5.820362e-34 --0.14479843 --0.27851883 -6.2919107e-34 --6.773538e-34 -1.0616364e-33 -0.21453382 --8.382432e-34 -0.12046399 -6.7235908e-34 -9.185581e-34 -8.893145e-34 --6.112295e-34 --0.081469685 --4.563774e-34 -1.0487481e-33 -7.750473e-34 --2.8469298e-34 -6.4083157e-09 -4.5356574e-34 --1.2963058e-33 -8.993388e-34 --9.940274e-34 -6.3853097e-34 --2.9042987e-35 -9.146631e-34 --1.011032e-34 --9.5034804e-35 --4.6617195e-34 --6.381503e-12 -3.0284334e-34 --1.3191691e-34 -7.9751855e-34 -1.0351463e-33 -1.09976515e-33 --3.1804763e-34 -4.3897987e-34 --8.659397e-34 --3.003579e-34 -6.0987264e-35 -3.837091e-34 -4.6089067e-34 -5.5956764e-34 --7.338387e-34 --2.5846402e-34 -9.293154e-34 -1.0240358e-33 --9.2693275e-10 -7.709454e-34 -5.2395493e-34 -1.2496824e-33 --7.0369775e-34 -1.3264866e-34 -7.5445716e-34 -1.175656e-33 --2.3060582e-36 --1.0991974e-33 -8.688903e-34 --1.211565e-33 --6.260773e-34 -2.7436566e-34 -2.4436965e-12 -4.6601454e-34 -0.103860274 --8.479035e-34 --0.086515546 -0.14757533 --3.3901147e-34 --4.363958e-34 --1.095545e-33 --0.22240707 --7.513051e-34 -0.025491199 -3.737016e-36 -8.829691e-34 -1.0154284e-33 -6.506433e-34 -0.121378995 -5.7120724e-34 --0.18824509 --3.5351082e-34 --0.09876312 -0.12990856 -7.00226e-34 -7.4039494e-34 --4.7937523e-34 --0.16389863 --5.4094815e-35 -0.2305369 -2.8545044e-34 --1.0839531e-33 --3.8872827e-34 -6.433182e-34 -0.0077535114 --1.0881299e-33 -6.3579055e-34 --5.610856e-34 --1.190573e-33 --4.255231e-34 --8.246471e-34 --2.9872544e-34 -6.7432385e-34 -1.18354355e-33 --2.1432256e-34 --1.750458e-34 -1.1256823e-33 --9.779605e-34 -6.825831e-34 --5.719457e-34 --1.0803087e-34 -7.481645e-34 -4.4660164e-10 --2.4679504e-34 --2.645441e-10 --2.227027e-10 -1.8674491e-34 -1.15170455e-33 -2.869896e-34 --1.722979e-12 --3.7765357e-34 --1.1387007e-09 --1.1197018e-33 -5.3708934e-34 --9.890841e-34 --8.668902e-34 -3.730434e-34 --3.327106e-34 --0.0005027278 -4.455419e-34 --1.9894971e-05 --3.8224335e-10 --1.4135687e-34 -2.402723e-08 -3.5035664e-34 --2.973083e-11 -1.05872405e-33 -3.6760275e-34 --3.630451e-34 --1.1236268e-33 --1.1837848e-33 --7.585345e-34 -8.521893e-35 --1.3484895e-36 --1.4046801e-08 -8.740184e-34 --1.4919903e-33 -1.2633513e-05 -6.760007e-34 -5.5461247e-34 --2.402658e-34 --1.0711004e-08 --6.20704e-34 --1.5288303e-33 -1.1718657e-33 --9.066619e-34 -7.422907e-35 -4.9458617e-34 -2.2578828e-11 -7.1139743e-34 --5.433751e-34 -8.75029e-34 --6.309105e-34 --7.3746383e-34 -1.02386715e-33 -1.1442875e-34 --5.747549e-34 --7.4540902e-34 --4.9411556e-34 -6.540985e-34 --3.92134e-34 --2.8951735e-34 -6.6067654e-34 --2.2908668e-34 -5.5161937e-34 --2.1785529e-34 --3.09549e-34 --1.1748713e-33 --1.0729795e-33 --5.0475287e-34 -6.219559e-34 -1.1450917e-33 --1.9890511e-10 -6.7110626e-34 -6.429381e-34 --6.744946e-34 -6.3749446e-34 --6.187244e-34 --6.596979e-34 --2.6952175e-34 --4.377159e-34 -6.356671e-35 -3.8205017e-06 -3.568363e-34 --1.3284673e-33 --9.360197e-34 --4.423109e-34 -7.278799e-34 --1.332959e-35 -3.71642e-08 -6.1171454e-34 --5.305623e-34 --7.011243e-35 --1.1398955e-33 -1.078939e-34 -1.1995791e-34 -7.246717e-34 --7.906562e-34 --1.3346453e-36 -2.2560583e-34 -8.430478e-34 --1.1855007e-34 -3.216529e-34 --2.933573e-34 --4.232867e-34 --9.879438e-34 -1.1075126e-33 --3.2513774e-34 --4.6248356e-34 --4.4175886e-34 --5.9310045e-34 -5.1069187e-34 -7.5347112e-34 --1.2042703e-33 -3.4049075e-34 -5.0274424e-35 --3.117708e-05 -9.066294e-34 -1.0169556e-33 --1.5660793e-09 -3.8572414e-34 --5.4446434e-07 --5.287324e-34 --1.14024715e-33 -5.176609e-34 -2.05246e-34 --7.4700214e-34 -2.6796294e-34 --0.00014503946 -4.754928e-34 -0.014768846 --4.0782243e-34 -0.12079708 -0.09679783 --5.54038e-34 -5.367173e-34 -2.6445383e-34 --0.06101977 -2.454609e-35 --0.07435019 --7.948926e-34 -1.614463e-34 -1.3830985e-34 -5.540244e-34 -0.16777296 -5.580753e-34 --0.08565208 --1.1874528e-33 --0.18031858 --0.14654335 --1.6329945e-34 --7.344165e-34 --9.6862195e-34 --0.09506655 -6.25948e-34 --0.0063910354 -6.3201446e-34 -1.1612342e-33 -1.11534265e-33 -5.0663747e-34 --0.17891559 -1.0562849e-33 -8.5706175e-34 -7.102107e-34 --1.7673851e-34 -1.2427047e-33 -3.9873255e-34 -1.2105285e-33 -6.1422367e-34 --5.8660107e-34 --7.0365133e-34 -4.2031692e-34 --5.631331e-34 --1.1540943e-33 --1.5063128e-34 --2.7584926e-34 --1.2732073e-33 -6.883821e-05 -1.5057808e-10 -0.00090717984 --1.7000445e-08 --2.6861221e-34 -6.318958e-34 --6.1778693e-34 --5.7194155e-34 -8.800928e-07 -6.434105e-34 -1.1234576e-34 -9.563851e-34 -2.9917286e-34 -4.7136772e-34 --5.050855e-34 --8.060101e-05 -1.0771399e-33 --8.186036e-12 --8.22595e-34 -2.5859999e-09 -8.851605e-34 -7.966573e-34 --1.17885545e-11 -4.629833e-34 -4.4789203e-08 --1.0500634e-33 --3.26559e-10 --1.400543e-34 -8.086098e-34 --2.8457414e-34 --5.894748e-34 -1.9156084e-06 --1.079525e-33 --0.003028853 --5.098759e-34 -0.017317014 -0.034086358 --8.773295e-34 --1.6707012e-34 -6.854987e-34 --0.0470927 --2.4570066e-34 --0.10376092 --1.0391623e-33 --5.312553e-34 -4.9209885e-34 --4.2837758e-36 --0.041687932 -1.8602253e-34 --0.08636106 --1.0673498e-34 --0.04357826 -0.053503394 --5.3439663e-34 --6.063839e-34 --4.6807258e-34 --0.07306709 --1.1909748e-33 -0.17427821 -1.6573143e-34 -4.5006593e-34 -8.691231e-34 -7.921031e-34 --0.056859598 --1.1520075e-33 -5.7117394e-34 --9.155319e-34 --0.00048837543 -5.825133e-34 -1.362825e-34 --8.803779e-12 -8.240883e-34 --2.8017155e-06 -1.0181453e-33 --3.4884902e-06 --3.1427595e-34 --4.3362953e-34 --7.717203e-34 -2.393957e-34 --1.745571e-08 -7.2711287e-34 -2.0819952e-34 --9.2607585e-34 --1.0615771e-23 --8.735666e-33 -8.045947e-34 --5.4582317e-34 -1.11496815e-33 --3.7521114e-16 --6.1981227e-34 -1.2796481e-33 --7.23064e-34 -8.057556e-34 -4.1833787e-34 -2.1790841e-36 -7.855766e-23 -1.77772e-34 --6.0133387e-34 --7.5997115e-34 -1.1550878e-33 --4.2691273e-34 -5.8207982e-34 --2.1955057e-34 --2.3881724e-34 -4.1762027e-34 -8.874135e-34 --2.8594304e-34 -7.976471e-34 -4.86002e-34 --9.844473e-34 -7.1543644e-34 -1.7794147e-34 -4.0765703e-34 -1.0160488e-33 --1.5738423e-34 --1.3125056e-33 -1.5675085e-33 --5.254626e-34 -6.219742e-34 --9.052881e-34 -7.0149286e-12 -9.343468e-34 --1.0272351e-33 -2.8962537e-34 -1.0904077e-33 -2.9696826e-34 --5.8300456e-34 -3.07765e-34 --8.586992e-34 --5.153115e-35 -8.71621e-34 -7.4745448e-34 -1.112137e-33 --3.153438e-35 --2.0223308e-34 -6.620749e-35 -1.0913025e-33 --2.9985488e-34 -2.2992968e-34 --4.9592766e-34 -5.254055e-34 --4.229034e-34 -8.777773e-34 --1.1303018e-34 --6.521143e-34 --8.868502e-34 --4.5728816e-06 -1.1047798e-33 -2.8518595e-34 -1.08924245e-33 -6.9354167e-35 --1.0832779e-33 --8.700142e-34 --3.6998979e-34 --1.6355535e-34 -4.7818963e-34 -5.3852335e-34 --8.22655e-34 --2.971545e-34 -9.472942e-34 --5.4242695e-34 -4.3425835e-06 -8.226985e-34 --1.9122315e-34 --0.00051766145 --7.4746857e-34 --3.4690675e-35 -4.027095e-34 -1.2412427e-33 -7.522822e-35 -9.855524e-34 --5.625917e-35 -5.26419e-34 -7.594924e-34 -8.911239e-34 -9.394574e-10 -0.0007874537 --2.3894329e-34 --3.4389087e-34 --5.337964e-34 -1.7728806e-34 -4.3761083e-35 --3.07945e-34 --9.207723e-34 --5.5378127e-34 --6.865034e-34 --1.05620665e-33 --1.0312965e-33 --8.718924e-34 --6.497003e-34 --4.567119e-34 --9.493175e-34 --2.5850774e-34 -4.415866e-34 --6.5252995e-34 -2.618825e-34 --1.0163236e-33 -6.8404404e-34 -1.6136011e-34 -1.0089586e-33 -7.202342e-34 -1.6015615e-34 -3.4462391e-06 -7.4316984e-34 -1.1121921e-33 --5.9129754e-34 -9.65646e-34 -2.164614e-34 -1.0045361e-34 --0.34315348 --5.248361e-34 -0.18942307 -0.14700289 -6.7308885e-34 -1.049815e-33 -9.71432e-34 --0.08320961 -1.1250033e-33 --0.08912519 -1.2206327e-33 --1.0473447e-33 -6.3364775e-34 --8.302764e-34 -0.35092998 --9.238755e-35 --0.29426724 --4.7808274e-35 --0.1042316 --0.047639545 --6.370847e-34 --6.2468722e-34 -7.5539595e-34 --0.443847 --3.2965104e-34 --0.22234817 --4.290991e-34 --1.0534988e-33 --1.0156561e-33 --4.7443384e-34 --0.11477476 -9.069971e-34 -0.00022851628 --9.277326e-34 --1.0484352e-33 --6.547812e-34 -6.3762046e-34 -1.1307168e-33 -4.863956e-34 -1.17381835e-33 -1.4464081e-34 --4.759988e-34 -8.3937e-34 -6.360525e-34 -2.9504017e-34 --1.009558e-33 --2.8384837e-35 -9.568524e-34 -0.0008052157 -8.6471195e-12 -4.790976e-34 --2.7398716e-34 --4.4857305e-34 --1.3992117e-06 -9.606022e-34 --1.6797799e-07 -3.0245865e-34 -8.648808e-34 --7.0716767e-34 --3.1774317e-07 --8.658214e-34 --3.058484e-34 --1.0082391e-33 -5.554366e-34 -0.00055246294 --1.9973403e-34 -7.5641654e-10 --1.0531842e-34 -1.0084742e-33 --9.835728e-10 -7.735972e-34 --1.0750454e-33 -1.0158627e-34 --3.598247e-34 -3.7186585e-34 --7.289483e-34 -1.0805649e-33 -8.544231e-34 --5.728826e-34 -9.853493e-34 -0.2775799 -9.517517e-34 --0.30788225 -0.12200449 --7.2299643e-34 --9.1489515e-34 -1.4958224e-34 -0.1993425 --1.1611549e-33 --0.00019803178 --2.7781326e-34 -9.648372e-34 --3.1495172e-34 -6.46502e-34 -0.056181792 -5.3080664e-35 --0.13111328 -7.2213924e-36 -0.14169666 --0.060992792 --8.82523e-34 -2.5500123e-34 -1.7107741e-34 -0.0007807827 -1.1298691e-33 --0.124014884 -1.003673e-33 --1.1942633e-33 -4.312257e-34 -1.2591053e-34 --0.04893762 --3.4800423e-34 --1.3192067e-05 --6.9383467e-34 -3.8425173e-11 --1.7216823e-34 -9.402078e-34 --1.7514866e-11 -6.7454572e-34 -8.460077e-34 --3.4838528e-34 -5.8495345e-05 -8.044765e-34 -7.846665e-34 -6.873337e-34 --1.0436911e-33 -2.4778695e-34 --1.045666e-33 --1.27026785e-33 --7.4946746e-34 -5.118342e-34 -9.023968e-34 --7.408377e-34 --8.628191e-07 -1.0824557e-33 --5.4741292e-08 -3.1847827e-35 --6.777041e-34 --1.5488346e-34 -6.4472247e-34 -8.839582e-34 -6.1283066e-34 -3.5350926e-34 -4.308544e-34 -7.859014e-34 --2.9028052e-34 -1.4099761e-34 -6.663419e-34 --5.5680596e-35 -1.2615405e-34 --2.5235118e-34 -7.565623e-07 -9.119261e-34 --1.0847434e-34 --2.6275412e-34 --1.951209e-34 --1.1791081e-35 -1.7058546e-34 -3.331346e-34 -1.559304e-34 -3.5761477e-34 -1.1533249e-33 -1.1730332e-33 --8.5491156e-35 -7.74928e-34 -3.278497e-34 --4.1981578e-34 -1.8514701e-34 --9.798321e-34 -1.2689432e-33 -7.803878e-34 -7.4789496e-34 --1.0159469e-33 -3.4220897e-34 -4.927027e-34 -9.444652e-34 -1.488275e-34 -1.1721252e-33 -7.682729e-34 -9.959891e-34 -3.966106e-34 -3.0203889e-34 --6.7162935e-34 -4.9587995e-34 --5.6092005e-34 -2.1649557e-34 -8.7658175e-34 -2.02279e-34 -6.311693e-34 -5.8944935e-34 -7.3311597e-34 -8.532032e-34 -3.1161683e-08 -9.839946e-34 --1.1183833e-33 --9.082016e-34 --1.0077548e-33 --3.1257515e-34 --1.075203e-33 -3.9507998e-35 --4.0448852e-34 --1.5547823e-34 --7.1847243e-34 -1.26906e-34 -1.3805887e-34 -4.4339206e-34 -4.3495936e-34 -8.933658e-34 --6.9417643e-34 --2.2992123e-34 -2.0676528e-07 --9.030779e-34 -2.2715795e-34 --3.5543643e-34 -1.6040571e-34 --8.248326e-34 --3.1820272e-34 -5.941639e-34 --5.7567985e-34 -1.9793093e-34 -3.0852374e-34 -2.196336e-34 -5.1807663e-05 --5.263509e-34 --8.08696e-34 --7.730121e-34 --3.2326021e-34 -4.386539e-34 -4.560775e-34 --2.977788e-34 -1.1237579e-33 -4.7900164e-34 -1.2821356e-34 --2.5226825e-34 --3.2625589e-34 -9.597022e-34 --7.618252e-34 -8.0497045e-34 -1.1470871e-33 -2.36266e-34 --1.627638e-10 -9.896704e-34 --1.0724652e-33 --1.1489341e-33 -6.8083347e-34 -1.204579e-33 -3.8586158e-34 --6.8942744e-36 --3.8875417e-34 --1.8496991e-34 --1.0357158e-33 --4.5797196e-34 -3.621947e-34 -3.3116762e-34 -9.018904e-34 --3.0164993e-35 --0.38603052 --3.017741e-34 --0.18327987 -0.06896339 --1.081785e-33 -2.910453e-34 -4.0789516e-34 -0.13820946 --8.979408e-34 --0.18892066 -6.9133934e-35 -4.1883557e-34 -6.895468e-34 -6.7428914e-34 -0.3253909 --6.643611e-34 --0.39931393 -1.01301275e-33 --0.18682392 -0.10030851 --7.121601e-34 --5.0006264e-34 -5.6072343e-35 --0.14939712 --8.095163e-34 --0.011268897 --7.58676e-34 --3.5752477e-34 --1.9225302e-34 --1.0291709e-33 --0.0023045968 --5.1621485e-34 --1.4405744e-09 -2.3856594e-34 --8.7319363e-10 --6.2798054e-35 -6.656661e-34 --6.347934e-34 --6.455557e-34 -1.2098946e-33 -9.957857e-34 --2.864867e-34 -5.4016436e-34 --5.22212e-34 --3.838597e-34 --5.947346e-34 --7.941893e-34 --1.0479444e-33 -4.5033988e-34 --3.3127763e-34 --4.6432027e-34 --4.0007996e-34 -4.2541506e-06 -7.338582e-34 -1.1228032e-33 -5.9833595e-34 --4.0969275e-34 --8.477794e-37 -5.5669e-34 --8.319194e-34 --1.2927742e-07 -1.1627655e-33 -3.1469444e-34 --6.1863246e-34 --1.3427143e-33 -1.0134293e-33 -4.2481906e-06 -2.5600862e-34 --7.530127e-34 -0.0007730846 --5.038175e-34 -1.8609204e-11 --7.7497165e-34 -9.83351e-34 --9.023766e-34 --4.8441838e-34 -3.861036e-34 -2.665214e-34 -4.8239166e-35 -1.943985e-34 -0.3727624 -3.4153414e-34 --0.20106035 -0.08356552 --8.499096e-34 --4.0271826e-34 -5.334875e-34 -0.26392928 -1.8245826e-34 --0.076848544 -1.0484749e-33 --4.911442e-34 -1.6049102e-34 --5.8036314e-34 -0.13500999 --3.4030215e-34 --0.13417907 -8.750093e-34 -0.164361 --0.053271726 --3.7942423e-34 --5.93863e-34 -4.5709447e-34 -0.0019343122 --1.1033482e-33 --0.057112925 --2.6370186e-34 --4.7794076e-34 --8.650538e-34 --6.3012687e-34 --0.0126866205 --6.500313e-34 --9.260515e-34 --1.0114422e-33 -1.05894115e-33 -9.780341e-34 -9.203239e-35 -3.8137002e-12 --3.889438e-34 -7.813158e-34 -4.467729e-34 --9.478593e-14 -1.1171531e-33 --4.7417486e-34 --5.9299323e-34 -7.857558e-34 -1.1006496e-33 -3.685138e-34 --2.0737116e-15 --5.889371e-34 --6.596252e-15 --8.500705e-34 --5.821283e-34 -2.179942e-06 --1.0565024e-33 -3.217388e-11 -1.0335126e-33 --2.676502e-34 --2.0156174e-34 -4.8462785e-35 -5.489926e-35 --6.927558e-34 -7.2439215e-34 --1.9076473e-34 -3.973925e-34 --8.624705e-34 --4.0078376e-06 -1.8984629e-34 -9.313476e-34 -2.3118463e-07 --8.656393e-34 -3.2278156e-05 -6.6509934e-34 -1.1064811e-33 --7.293114e-34 -8.813985e-34 -7.78181e-34 --4.7392892e-34 -8.726135e-34 -1.4412996e-35 --3.948871e-34 --3.0447244e-34 --7.871531e-34 --7.410206e-35 --5.180053e-34 --1.0694015e-34 --1.1838898e-33 --1.0665883e-33 -4.5919374e-34 -7.4366015e-34 -6.1872907e-34 -2.08657e-34 --7.304159e-34 --2.1156924e-34 -9.525453e-36 -3.94198e-34 -9.697008e-34 -2.6501488e-34 -3.346068e-34 --8.627434e-34 --6.0731603e-34 -6.823347e-34 --9.1884885e-34 --3.3459014e-34 -1.0946344e-33 --4.5316125e-34 -6.3420345e-34 --1.0961073e-33 --1.1899837e-34 -9.667507e-34 --3.6534576e-34 --8.876731e-34 --3.202119e-08 -6.4705674e-34 -1.2546551e-33 --1.0835736e-33 -5.5837304e-34 --8.091337e-34 -4.7972494e-34 -1.1033186e-33 -1.09720165e-33 --6.5856336e-34 -1.1634973e-33 -1.0697219e-33 --8.651903e-34 --3.0453532e-34 --2.0613579e-35 -5.845152e-34 --1.4224552e-08 --2.6178305e-34 --6.7215195e-13 -2.9797984e-10 -7.823016e-34 -1.0844317e-33 --2.0473438e-34 -7.4499305e-34 --1.8460542e-34 --1.0907996e-07 -9.723853e-34 -7.516672e-34 -5.784951e-34 -7.528339e-34 -1.8019006e-34 --1.0668214e-33 -1.7057305e-34 --3.833827e-34 -8.97681e-34 --8.314815e-34 --1.0200383e-33 -6.870297e-34 -9.845676e-34 -2.2023254e-35 -1.1093482e-33 --1.279656e-34 -5.5582424e-34 -8.727234e-34 --3.377862e-34 --1.1621253e-33 -8.5247e-34 -5.085724e-34 -6.232529e-34 --1.4919181e-34 -2.0360444e-34 -5.935801e-35 --2.5080494e-34 --0.0014775377 --1.0863513e-33 --6.1015444e-34 --4.454843e-34 -1.2540879e-33 -7.900712e-34 -4.8103653e-34 -1.5960431e-34 -4.3767847e-34 --5.2954487e-34 -9.777878e-34 --0.16684066 -9.21457e-35 --0.18245436 -0.19651197 -9.636081e-34 -4.3536826e-34 --3.1267268e-34 -0.55880296 -1.7838e-34 --0.16918582 -4.858337e-34 --4.819012e-34 --8.7629207e-35 -8.148558e-34 -0.18040612 --5.8566637e-34 -0.017621813 -6.009935e-35 -0.12290351 -0.012054538 --3.472571e-35 --1.2865949e-33 -7.873876e-34 -0.041096173 -8.671621e-34 --0.10365836 -1.4867058e-34 --7.576301e-34 -5.9240507e-34 --8.93972e-34 -0.017762206 -1.9732585e-34 -1.9943647e-10 --7.6019013e-34 --4.2922882e-34 --2.1391485e-34 --5.074338e-34 --1.0929644e-33 -4.6645186e-34 --1.618328e-33 -4.62939e-34 --1.2039149e-33 -1.8468665e-34 -6.335309e-34 --1.2830218e-34 --2.9662718e-34 -5.865503e-35 -1.1813573e-09 -5.2116594e-34 -8.491917e-05 --1.0673891e-33 -2.0220115e-34 --6.8558245e-12 -5.0931195e-34 -8.825994e-34 -5.3370492e-34 -2.9101794e-34 -7.302005e-34 -4.711903e-34 --1.8311153e-34 -5.4335352e-11 --1.1382619e-33 --1.4312003e-34 --4.499145e-34 --8.9659906e-08 --5.6516896e-35 -7.1281977e-34 -4.950015e-34 -4.6524597e-35 --5.1774943e-34 --3.81636e-34 --6.99857e-34 --1.2042232e-33 -2.3886192e-34 -3.0366068e-34 -3.4852902e-34 -8.512875e-34 --1.128481e-33 --2.2311344e-34 -9.294257e-34 -0.10302999 --2.36682e-34 --0.087619804 -0.19972666 -1.0884691e-33 --9.015731e-34 -1.0568213e-33 -0.11704666 --1.0443759e-33 --0.085349865 --3.7971719e-34 --7.6099447e-34 --6.097384e-34 -3.6338133e-34 -0.20147651 -5.720958e-34 -0.13732694 -5.726767e-34 -0.3259731 --0.074353956 -4.4716356e-34 --2.0907574e-34 --2.4559007e-34 --0.117551155 --3.7037935e-34 --0.11016645 -5.0082965e-34 --5.947385e-34 --7.611987e-35 -5.85496e-34 --0.13367304 -1.0108341e-33 --3.9134057e-10 --5.5518966e-34 -1.2825438e-09 --2.42177e-34 -1.012659e-33 -1.6633337e-11 --3.4276736e-34 --7.487438e-12 -3.43571e-34 -5.3782393e-34 -3.994604e-34 --4.3412568e-35 --6.573416e-34 --4.138236e-34 -1.0482472e-34 --3.6814038e-34 -1.8315187e-06 --5.2051165e-34 -3.397054e-08 -2.3796339e-07 --1.0373341e-33 --0.0004964893 --5.0877333e-34 -1.9180803e-08 --2.0320486e-35 -6.0245426e-08 -3.4715317e-34 --6.620125e-34 --2.5530305e-34 -7.1543543e-34 -4.933435e-16 -3.2769408e-35 --9.826205e-34 -5.173527e-34 --9.385e-35 -9.719408e-34 --1.2119062e-34 -5.757454e-34 -2.1167021e-34 -2.4178284e-34 --9.039041e-34 -7.909044e-34 --6.059198e-34 --3.9511166e-34 -5.587051e-34 --1.1391666e-33 -2.842969e-34 --4.001665e-34 --1.11995665e-33 --4.33316e-34 -1.2769645e-33 -6.2849863e-34 -4.5771454e-34 -9.465139e-34 --2.7481474e-34 --8.368593e-34 -2.5509176e-34 -0.0005094682 --2.3364977e-34 -5.339875e-34 -5.1827877e-34 -3.3145662e-34 --5.1465103e-34 --1.2782821e-34 --1.8273537e-34 --8.440613e-34 -7.2207307e-34 --3.7706782e-34 --8.316135e-34 -6.600376e-34 -2.2263684e-34 --1.1172633e-34 -1.0455268e-33 -3.9724436e-34 -1.074123e-33 --1.0659928e-33 -4.281727e-34 -6.393164e-34 --8.004141e-34 --4.962937e-34 -6.582357e-34 --1.0302462e-33 --5.7348026e-34 -8.770573e-34 -1.1281469e-33 -2.1833301e-34 --1.0720595e-33 --4.189998e-34 --7.086945e-36 -7.2374397e-34 --4.1386217e-35 -6.8547115e-07 -1.2588075e-34 --1.7585947e-34 --6.16108e-34 -1.6206995e-34 --7.726319e-34 --6.1148417e-34 -2.1586224e-10 --1.2704214e-33 --6.322951e-34 --1.097587e-33 -1.4088357e-35 --4.707594e-34 -1.0178712e-33 -8.454655e-34 --5.8225426e-37 --1.0878853e-33 --8.382394e-34 --3.3707911e-34 -6.5907957e-34 --1.965985e-34 -6.46098e-34 --5.982989e-34 --1.1180039e-33 -7.371731e-34 -9.540441e-34 -1.2148646e-33 -4.746617e-34 --1.0795005e-33 --6.378969e-34 --9.897809e-35 --6.1396915e-34 --7.913957e-34 --5.7425195e-35 -3.5322136e-34 -6.2465586e-35 -1.00851905e-33 --8.9568555e-34 -1.9019131e-34 -4.7096876e-08 -4.617902e-34 -1.0110133e-33 --3.428194e-05 -7.737209e-34 --0.00072037114 -1.0422748e-33 --1.6341986e-07 -1.0972758e-33 -9.935763e-34 -6.739934e-34 --3.2747918e-35 -4.0797814e-34 -9.461399e-34 --0.008424589 --5.9751714e-34 -0.2614666 -0.08672911 -3.370642e-34 -8.212403e-34 -1.1793602e-33 -0.3165695 -1.0385337e-33 --0.099780224 -1.2314351e-34 --2.0243442e-35 --2.6807201e-34 -3.1600968e-34 -0.2004984 --1.1404358e-33 --0.020808551 --3.127652e-34 -0.31140673 --0.09754879 --6.875954e-34 --1.103741e-35 --9.3407215e-34 -0.17869993 -4.31454e-34 --0.121307895 --8.814218e-34 -7.933562e-34 -6.4506097e-34 --4.8375257e-34 --0.11550498 -4.990847e-34 -4.7273175e-12 --5.698181e-34 --2.2147627e-12 --1.6056959e-34 --7.0423747e-34 --0.0011792596 --5.992432e-34 --6.4521204e-34 -1.0484952e-33 --5.6666102e-11 -5.765108e-34 -5.8907296e-34 --7.3561105e-34 --6.075676e-34 --9.994494e-34 -4.4188522e-34 --1.059755e-05 -8.464852e-34 -5.5307303e-34 -3.4644757e-34 --1.0460454e-33 --2.912695e-11 -6.8901927e-06 --4.9571267e-34 -2.687855e-35 -2.750224e-07 --3.97101e-34 -9.5979114e-35 -5.608827e-34 --3.0641547e-34 -1.08954735e-33 -2.5589695e-34 -4.1570623e-34 --2.575228e-34 --1.2606295e-33 --1.0155753e-33 -9.844515e-34 -1.2463326e-33 --5.0127083e-34 -6.931495e-08 -5.4248724e-34 -5.527292e-34 -8.760366e-34 -3.0191985e-34 --3.0288853e-34 --9.808554e-35 --2.0785162e-34 -1.9746413e-34 --0.11115169 --1.0752065e-33 -0.046771057 -0.042001747 --7.147089e-34 -4.4783883e-34 -6.8097797e-34 -0.20981741 -1.0865977e-33 --0.17916931 -2.321473e-34 -7.722635e-34 --9.050746e-34 -2.9620736e-35 -0.2370101 -1.105157e-33 -0.27383918 --4.4825448e-34 -0.2584898 --0.18940629 -2.6210108e-34 --5.496528e-34 -9.941994e-34 --0.011250502 -7.1647634e-34 --0.05643312 --2.9335387e-34 --1.0880761e-33 --4.4039235e-34 --4.510609e-34 --0.07643527 --5.887118e-34 -1.3640971e-08 -7.043315e-34 --9.180319e-11 --1.9338928e-07 --5.647942e-34 -1.8120222e-11 --9.569546e-34 --1.716549e-05 --1.3080841e-34 --5.668376e-09 --1.1668634e-33 -1.0349429e-34 -5.8361403e-34 --1.013898e-33 -2.8559037e-07 --3.7796857e-34 -0.009200541 --1.0208367e-33 -0.023015147 --0.027784403 --6.988975e-34 -1.3083149e-33 --4.1837226e-34 -0.00072149845 --5.1745803e-34 -0.03638543 --3.210518e-34 -1.2735783e-34 -5.2082445e-34 -3.2923631e-34 -0.0015943623 -9.489777e-34 -6.4298953e-34 --1.1265679e-33 --9.925184e-34 -1.8594222e-34 --7.5420673e-34 --8.5956e-34 -1.1687977e-33 -9.466491e-34 --1.0256779e-33 --1.6271477e-34 -1.1793159e-34 --9.6260525e-34 -9.862027e-34 --4.3413316e-34 --1.1050141e-33 -6.6134336e-34 -1.0812174e-34 -6.7025466e-34 -3.947783e-34 -9.630561e-34 --1.2035534e-33 -1.28034845e-33 -8.194063e-34 -4.968124e-34 --3.6471333e-34 --6.457268e-34 -7.930415e-34 -1.0107719e-33 --3.685836e-34 --6.4209744e-34 --3.5711665e-34 -6.777758e-34 -1.1836179e-33 -3.155956e-34 --1.0099473e-33 -2.2382505e-34 --2.9131528e-34 -9.461672e-34 -8.305257e-34 --1.5552737e-10 -5.477919e-35 -9.7215954e-05 --4.9057934e-34 --6.2240057e-34 -8.3079735e-34 --2.6402338e-34 -3.1889398e-34 -4.716671e-36 -8.733497e-34 -1.1828676e-33 --6.437508e-34 --8.414099e-34 -4.950668e-34 --5.618672e-34 --4.5065687e-13 --1.3036335e-33 --8.143274e-34 --6.733708e-34 -5.606285e-34 -5.740593e-34 --1.1552406e-33 --1.136083e-33 --1.1159291e-33 -4.316678e-35 --0.00033978297 --7.2473277e-34 -7.170148e-12 -3.547247e-35 --9.899949e-34 -1.3202271e-34 --3.181635e-34 --1.2796454e-33 --5.0248288e-34 --8.6235735e-34 --6.220888e-34 --5.3161383e-34 --9.385626e-34 --8.481081e-34 -1.2212093e-33 --7.8675837e-35 --1.7212011e-34 -9.857181e-34 --1.1938908e-33 --6.5630494e-34 -2.0707398e-34 -5.6154688e-34 --4.7219755e-34 --7.0465303e-34 -2.0979856e-34 --7.2627625e-34 -8.406583e-34 --1.1578781e-33 --3.8071268e-34 --9.240679e-34 -6.2443105e-34 --1.8572517e-34 --9.0514975e-34 -1.0219711e-34 -5.089615e-35 --7.1453893e-35 -8.561864e-34 --4.0122855e-34 -4.1180253e-35 --6.1959426e-34 -3.8013935e-34 --7.9346787e-35 -3.0273477e-34 --6.6281824e-34 -1.1459858e-34 -1.3165362e-34 -9.6719675e-34 -8.377936e-34 --0.05824173 --3.9247575e-34 -0.36017144 --0.0257171 --8.0751595e-34 -4.848329e-34 --7.450211e-35 -0.10793792 --1.2081831e-34 --0.13059562 --1.2269541e-34 -3.0216417e-34 -2.954807e-38 -3.3323483e-35 -0.00475277 -2.3458624e-34 -0.018166207 -6.777194e-34 -0.15811406 --0.08850195 --5.0563536e-34 -8.1180035e-34 --5.1002725e-34 --0.0141381025 -9.127797e-34 --0.02272112 -6.559663e-34 --6.747041e-34 --2.1009735e-35 -5.369465e-34 --0.030887725 -3.554098e-34 -1.1247394e-33 --5.6710715e-34 -8.568035e-34 -1.0081849e-33 -8.313122e-34 --1.2811331e-33 --1.1925149e-33 -4.909544e-34 -6.9339473e-34 --1.40012765e-33 -9.982192e-34 -1.0320884e-33 -1.1746247e-34 -7.474897e-34 --1.34155295e-33 --3.3139537e-34 --9.326064e-34 -1.0540755e-33 --3.962647e-11 -3.2868076e-07 --2.6492998e-34 -1.5464912e-09 -9.8438395e-34 -2.5628843e-10 -1.0024513e-33 --5.9035236e-34 -1.3712417e-34 --3.6224618e-10 --4.282381e-35 -1.1376941e-33 -2.3543e-10 --5.5258226e-34 -3.3970164e-09 -3.4095778e-34 --4.8330156e-34 -1.2000225e-33 -1.1569315e-33 --1.2595686e-33 -4.5187927e-34 -1.1739456e-33 -3.8891924e-34 -6.8712275e-12 -3.4332464e-34 --4.525344e-34 -1.0303154e-33 --6.5363813e-34 -1.0944359e-33 -6.957568e-34 --0.03231612 -2.2105112e-34 -0.023833405 --0.1469346 --1.05648785e-33 -7.737801e-34 --1.6668458e-34 -0.046858724 -1.7415855e-34 --0.106561214 -7.5711823e-34 --8.286561e-34 -6.8506993e-34 -7.060118e-35 -0.14015883 -5.0242236e-34 -0.16524944 --9.892123e-34 -0.16543783 --0.10724248 -6.4658508e-34 -1.4809466e-34 -8.305613e-34 -0.049692344 -1.0606626e-33 --0.013676866 -6.541289e-34 -3.062554e-34 -6.189933e-34 --1.764927e-34 --0.080822416 --4.4566664e-34 -1.05209566e-07 -8.179103e-34 -1.04244705e-07 --1.2232135e-33 -6.478649e-34 --9.166916e-34 -1.0542231e-33 -1.5151418e-05 --3.18208e-34 --7.315165e-06 -1.0215504e-33 -1.0142692e-33 --1.2311797e-34 --9.498187e-34 -1.5655749e-07 -3.1020182e-34 -1.3821158e-05 --8.269557e-37 --4.2621195e-06 -1.14791e-06 -7.4417425e-35 --1.6163047e-34 -4.779692e-34 -2.3473003e-06 -1.1528024e-33 --9.842264e-06 --2.2619457e-34 --1.182868e-33 --2.0464255e-34 --1.0508501e-33 --3.0738936e-11 -1.9041102e-34 -1.3349825e-33 --8.490451e-34 --1.449417e-09 -3.7769038e-34 --7.051616e-34 -4.1484118e-13 -7.2103956e-34 --1.5878165e-11 --3.918471e-34 --7.945087e-34 -9.775289e-34 -9.912548e-34 --5.0615666e-34 --6.5731114e-34 -7.116296e-35 -9.865009e-34 -8.548415e-34 --4.2943577e-34 --0.00046585838 -3.3599155e-34 -7.632564e-34 -2.4602574e-05 -5.667833e-34 -1.2900169e-34 -4.854461e-34 --6.249016e-34 -1.0428191e-33 -6.98899e-34 -8.755741e-34 -8.800375e-34 -1.16461515e-33 -3.064596e-34 --9.98747e-34 --8.824414e-34 --6.446749e-34 -6.487325e-35 -3.3844797e-34 --4.08737e-34 -4.0943175e-34 -5.5031046e-09 -5.116442e-34 -7.280249e-11 -6.632678e-34 --1.0462472e-33 -9.303864e-34 -1.6398171e-34 -6.555732e-34 --1.1513897e-33 -2.3718537e-34 -6.735891e-34 --9.647191e-34 -2.5824547e-09 -2.8096923e-34 -5.081045e-34 -9.550932e-34 --8.027671e-34 -1.6454129e-34 --6.9486033e-34 -1.5571627e-35 -9.793396e-34 --1.5480933e-10 --1.564054e-07 -6.2088583e-34 --2.1731045e-35 --0.00014899825 -5.063298e-34 --1.5061315e-10 --1.4844143e-34 --7.884095e-34 -3.859104e-34 -4.2308696e-34 -5.361973e-10 --2.9351038e-35 -1.7658897e-10 -5.990154e-36 -1.1901619e-33 -4.6231495e-34 -1.0665398e-33 -0.0005481506 --3.0319048e-34 --5.35751e-34 --4.520863e-34 --4.412218e-35 --1.08360155e-33 --3.049673e-36 --0.0002735888 -5.4029945e-35 -1.2358295e-33 --1.0549456e-34 -1.0830109e-33 --7.988645e-34 -1.2164794e-33 --1.01683145e-33 --2.0010808e-34 --3.7490776e-34 -4.133505e-34 --1.0257276e-33 -1.06004905e-33 --1.4587297e-34 -3.1860489e-34 -4.0533102e-34 -1.08269495e-33 --3.69776e-34 --5.8006054e-35 --4.0038623e-35 -1.2037003e-33 --1.6503945e-34 -9.931854e-34 -6.4321738e-34 -5.9727313e-34 --8.726646e-12 -3.7674002e-34 --0.008752003 --1.8851972e-34 -0.34547117 --0.05809344 --7.833916e-34 -4.761284e-34 --7.9044e-34 --0.07409078 -3.7471254e-34 --0.03610028 -5.899564e-34 --4.292409e-34 -2.6788513e-34 --8.3339525e-35 --0.02929729 --2.4032105e-34 -0.04722604 --7.3187394e-34 --0.03445557 --0.18205783 --1.730127e-34 -9.086621e-34 --7.1144325e-34 -0.017245239 -9.042393e-34 --0.08045421 -7.822017e-34 --6.121536e-35 -1.054023e-33 --4.0589344e-35 --0.07460038 -4.6239503e-34 --9.223244e-34 --1.1753408e-33 -4.2563016e-34 -1.01322506e-10 --4.5846755e-34 --6.562079e-05 -7.2079684e-34 -2.1813943e-34 -3.9046143e-34 --1.0669169e-33 --6.099956e-34 --3.258412e-34 --1.0544753e-34 -1.1480199e-33 -2.5474705e-08 -1.3163149e-34 --6.8268585e-12 -4.9506826e-34 -1.8302979e-10 -8.659077e-07 --1.0863731e-33 -2.0854134e-09 --1.1405557e-33 --3.791263e-10 --9.386337e-34 --0.00040348366 -7.5266485e-34 --1.5487138e-36 -1.8420713e-34 -2.3896046e-34 -2.7717477e-13 --7.4611014e-35 --6.5839145e-34 -4.432261e-35 -2.3627877e-34 -9.1461395e-34 -6.9995546e-35 -2.7403124e-34 --1.6576105e-34 --4.9300325e-34 -6.2799716e-34 --6.940486e-34 -4.01912e-34 --1.1395711e-33 --7.76965e-34 -1.2037672e-33 --1.1402633e-33 -4.3084887e-35 -0.2659809 -2.3444064e-34 -0.0145243695 --0.052251864 -8.188429e-34 -6.034809e-35 --3.040014e-34 --0.10092736 --8.018754e-34 --0.0064991047 --2.583936e-34 --4.1338316e-34 --8.759189e-34 --1.5930053e-34 --0.14063576 --2.0095273e-34 -0.095312215 --1.0980156e-33 --0.0056874244 -0.014001863 -8.642888e-34 --6.0892164e-34 --6.2808546e-34 -0.02202687 -5.5008636e-34 -0.041531745 --9.306116e-34 -8.183154e-34 -3.2949042e-34 --4.751037e-34 --0.04192306 -4.6559683e-34 -8.419155e-34 --6.266903e-34 --9.167298e-34 --6.1504674e-05 --3.3872788e-35 -7.53508e-12 -1.4633477e-34 -3.5694768e-34 --1.301287e-34 -0.00078224606 -2.1304584e-35 -8.6310875e-34 -8.786247e-34 --7.495471e-34 -6.205718e-08 -1.3855557e-34 -1.1180821e-09 -7.3849675e-34 -5.2869353e-08 -4.050885e-12 -8.383596e-34 --1.2508406e-33 -4.092168e-34 -8.776315e-13 --4.912027e-34 --3.8243185e-23 -1.1001302e-34 --4.7501864e-34 --6.925557e-34 --4.1716844e-34 --2.1487312e-09 -2.3115e-34 -3.5119067e-11 --4.5460623e-34 --1.3135679e-33 --5.8931113e-34 -5.7023846e-34 --5.7918076e-35 --3.6283412e-34 --1.1052791e-33 -1.265548e-34 --1.6359337e-34 --5.3626236e-34 -1.0808452e-33 -1.3789949e-34 --1.537067e-34 --1.3644041e-09 --8.226552e-34 -5.2007837e-34 -1.1147274e-33 --1.5872994e-34 -9.086789e-34 --5.711446e-34 --7.043562e-34 -6.2970943e-34 -5.8087053e-34 -1.0541308e-34 --3.331573e-34 --8.943602e-34 --3.4177333e-34 -5.923519e-34 --1.5010375e-34 --1.2185204e-33 -6.710518e-34 --1.1108216e-33 -6.4605124e-36 -1.02182785e-33 --6.953937e-34 -5.044386e-34 --1.2532771e-34 --9.229467e-34 -2.0279051e-35 --9.285679e-34 -1.4439812e-36 --3.5150206e-34 --1.1726293e-33 --3.467066e-34 --2.96941e-34 -3.8238707e-34 -1.2129059e-33 -4.5712624e-34 --2.2682412e-34 --2.3242568e-34 --5.8735632e-34 --1.2111718e-07 --5.606579e-34 --8.472759e-34 --7.5137305e-34 -1.2285312e-34 --1.2665684e-33 --1.13732605e-33 --1.4729201e-34 -9.529057e-34 --4.100624e-34 --6.512268e-34 --5.85395e-34 --7.019832e-05 -7.731043e-34 --7.0126466e-34 -1.2426503e-33 -1.7368333e-34 -1.144961e-33 -8.4647377e-35 --6.0388644e-34 -2.1231304e-34 -7.502136e-13 --6.1538576e-34 --2.8057335e-34 -1.0007961e-34 --2.767942e-35 -1.43955e-11 --7.0624803e-34 --5.0570942e-34 -2.3038753e-34 --0.000301359 --1.0177342e-33 --5.749646e-34 -6.0071876e-34 --7.1634773e-34 --2.0294846e-34 --9.238475e-34 -9.430433e-34 --2.6591041e-34 --4.4793535e-34 --1.0268806e-33 -4.6342726e-34 -8.755552e-34 -6.785785e-34 -4.3053994e-13 --1.4944152e-34 --4.366936e-08 --6.7659067e-34 --1.1428435e-33 --3.403669e-05 --4.6703056e-35 -7.56795e-34 --5.665352e-34 --8.8952355e-35 --5.360859e-34 -1.02242735e-33 --4.265105e-34 -3.3633883e-34 --1.0169789e-33 -5.645109e-34 -0.033864833 --5.947459e-35 -0.19593577 --0.14405727 -1.0638011e-33 -1.2782506e-33 -2.716597e-34 --0.031689398 -7.104268e-34 --0.07678586 -6.512627e-34 -7.728766e-34 --8.139011e-34 -9.102375e-34 --0.08119561 -8.7222875e-34 -0.021341193 --6.3226834e-34 -0.26108423 --0.36537972 --1.0061325e-33 -9.569293e-36 --8.192366e-34 --0.27189466 --5.4123406e-34 -0.025084263 -6.119035e-34 -2.8497918e-34 -6.9349896e-34 --5.9277903e-34 --0.04646181 -7.0189153e-34 --2.1722418e-12 -3.1301888e-34 --1.38878045e-33 -1.2366671e-33 -1.042842e-33 --1.8095808e-34 -3.604936e-34 -4.0310524e-09 --7.673548e-34 --1.243064e-33 -3.2174148e-34 -8.474229e-34 --2.918952e-34 -3.2048102e-34 -2.148113e-34 -8.1529625e-34 --9.351684e-13 -3.8588724e-34 --1.1944731e-10 -1.402005e-06 -2.6838005e-34 -1.3836215e-34 -7.4469036e-34 -8.540701e-34 --1.1118772e-33 --1.2299344e-33 -3.238834e-34 --5.2831767e-34 -2.7564608e-35 --3.4769194e-34 -2.4268719e-11 -6.8513275e-34 -1.7885343e-11 -5.6887324e-34 -3.3625283e-11 -9.7803775e-34 --1.701225e-35 -1.2643648e-07 --7.166921e-34 -3.7391447e-34 --4.232475e-34 --1.1328709e-33 --9.249879e-34 -6.4149615e-34 --1.6477722e-35 --3.451479e-34 --3.3971787e-07 -3.2387186e-34 --0.060325313 -1.8395582e-34 --0.13475408 -0.060136117 -5.8311123e-34 -2.4380426e-34 -5.9182955e-35 -0.08515374 --2.7180908e-34 -0.021763386 -9.621154e-34 --2.09045e-34 -6.3566336e-34 -1.0053473e-33 --0.026897125 -7.314834e-34 -0.059911158 -1.0246651e-33 --0.013477461 -0.0010865434 --5.1199134e-34 -1.3683905e-33 -4.877757e-34 --0.02784469 -4.0565144e-34 --0.011923153 -8.492159e-34 --7.4595347e-34 --4.7497686e-34 --2.5067945e-34 -0.013934293 --7.84228e-34 --1.5744978e-07 -5.319066e-34 -1.5837654e-06 --5.102343e-34 -1.18851e-33 --6.3881653e-06 -9.663342e-34 --1.2499164e-33 -2.3433808e-34 -1.0851841e-33 --1.0055413e-36 -1.2065307e-33 --5.8532915e-34 -3.5925383e-34 -1.09409e-34 --6.4337503e-35 -2.7019714e-10 -1.7818042e-34 --2.0498556e-16 -2.895486e-10 --2.426437e-34 -6.713601e-34 --7.0736415e-34 -6.1420154e-18 --3.7758905e-35 -1.9053827e-10 -8.34765e-34 --7.658049e-34 -5.5917128e-34 --2.4739266e-34 -1.0264112e-12 --1.4411873e-34 -8.57329e-09 -4.7833294e-34 -2.9144422e-09 -8.382832e-34 --6.7865734e-34 -1.10135e-34 --9.24489e-34 --0.00046756025 --2.4427466e-34 -8.6837e-34 -8.929122e-34 -4.9635506e-34 -1.0790597e-34 -4.2064817e-34 --2.4490845e-09 --7.5105603e-34 --7.315983e-34 -5.588661e-34 --6.3423724e-34 -7.872932e-34 --6.94568e-34 -7.5885213e-34 --2.028603e-34 -1.0921283e-33 -1.1263284e-33 --7.7688275e-34 --1.0182701e-34 -4.1823262e-36 --5.6986056e-34 --6.107508e-34 -5.6277674e-34 -6.3089186e-34 -6.6423512e-34 -7.1424396e-34 -4.9032514e-34 --2.5111317e-34 --6.8532818e-34 --6.19271e-34 -1.0813143e-33 -1.4150638e-34 -6.5467555e-34 --6.4401065e-34 -1.0148061e-33 -7.837105e-34 --1.1461334e-33 --7.1471535e-34 --3.3612636e-34 --6.0808635e-34 --0.0014913357 --1.0376662e-33 -1.22715e-34 --2.9214267e-34 --7.20789e-11 --1.1676935e-33 --9.368446e-34 --5.17214e-34 --6.1956377e-34 -1.0139227e-34 --9.7406605e-34 --2.6919886e-34 --5.088128e-12 --3.3996399e-34 --2.505129e-34 --1.0105024e-33 -1.8313251e-10 -1.8827367e-34 --9.03626e-34 --2.3344744e-34 --7.920109e-34 --3.187498e-34 -7.01652e-34 --1.5865442e-10 -9.50378e-34 --1.4972125e-35 -5.689266e-34 -4.4736445e-34 -2.0406963e-34 --3.842012e-35 -1.4675136e-33 -1.7164917e-34 --5.8415016e-34 --2.4301527e-34 --5.8932528e-34 --5.9422654e-34 -3.3646726e-34 --4.951182e-35 --7.89138e-34 --1.0225331e-34 -3.8409976e-34 -3.4319292e-34 --8.226194e-34 -9.595856e-34 -2.167887e-34 --1.0089966e-35 --1.1434083e-33 -6.7250215e-34 --7.076903e-34 --1.0577677e-33 -3.872332e-34 -4.6861046e-34 -1.1327879e-33 -7.871257e-34 -9.951144e-34 --1.1224325e-33 -2.9949484e-35 -4.9943816e-34 --1.2348825e-34 --1.2019095e-34 --5.2263893e-34 -3.4691254e-34 -7.6586983e-34 -5.7061517e-34 -0.030591596 -8.654988e-34 --0.01313814 --0.09162243 --5.395306e-34 -3.9448746e-34 --5.748121e-34 -0.087536305 --3.905162e-34 -0.046406113 --1.2303672e-34 -5.8326115e-34 --9.859518e-34 -6.516044e-34 -0.033126898 -8.883472e-34 --0.14887437 -1.1452966e-33 -0.2850735 --0.19761585 -1.0383197e-33 -8.723424e-34 -7.6127935e-34 -0.24571401 --5.3283956e-34 --0.0169144 -6.6880137e-34 --4.374228e-34 -1.1113358e-33 --2.4789507e-34 -0.0029487824 -3.9176113e-34 --9.215769e-34 --1.1549331e-33 -1.5991315e-35 -8.6239675e-34 -2.6316772e-34 --2.9258348e-34 --6.661802e-34 --6.4427743e-35 -9.121377e-34 -9.667761e-35 -3.2784964e-34 -8.304764e-34 -9.969193e-34 -3.4780835e-35 -6.6741525e-34 --4.59824e-34 --0.0005055189 -6.6073986e-34 -1.1219359e-33 -1.2023985e-33 -4.3563527e-34 -1.5175351e-07 --1.1560429e-33 -2.489178e-10 --1.9439095e-34 -9.781876e-34 -7.86381e-34 -1.8177946e-06 --1.11593205e-33 -6.6756526e-34 -8.1771795e-34 --8.168399e-34 -1.2315772e-33 -9.519957e-34 -1.2409988e-33 -1.3806845e-10 --3.9147103e-34 -2.6289343e-34 --7.840685e-34 --7.009091e-34 -5.2237816e-34 -6.4830717e-34 -1.1015052e-33 -3.8601104e-34 --5.330151e-34 -7.5507903e-34 --9.34504e-34 --9.37671e-34 --0.15682977 --4.6493134e-34 --0.12561232 --0.18365255 -1.7142932e-36 --9.586136e-34 --4.4857663e-34 -0.064176366 --1.0977626e-34 --0.0068442635 --5.902438e-34 --1.0716042e-33 --8.050751e-34 --4.319628e-34 -0.14667453 -2.222768e-34 --0.035949398 --5.036319e-34 --0.03785478 --0.016164873 -6.0821437e-34 -5.244559e-34 --1.8773664e-34 -0.107003614 --4.4436446e-34 -0.031442054 --4.0160567e-34 --3.6235082e-34 --1.1691606e-33 --6.0497e-34 -0.061859634 --6.3688826e-34 --5.1082576e-34 --2.796182e-34 -0.000104764185 -9.55768e-34 -7.245545e-34 -4.0532443e-12 --1.9391655e-34 --4.6029126e-34 --2.5929018e-34 --8.068887e-34 --4.7706497e-35 --9.599823e-34 --4.677169e-34 --9.808341e-34 -3.696416e-34 -8.5374125e-34 --2.7283193e-09 --7.808034e-34 --9.1582425e-10 --2.5708458e-09 --2.5534823e-34 -0.00024328649 -6.3213715e-34 -1.3595194e-11 -2.9321892e-34 -4.708578e-09 --7.650941e-34 -2.4835578e-35 --1.1925331e-33 --3.399005e-35 --1.7813459e-11 --6.3299315e-34 -2.7664084e-34 -1.2032243e-33 --1.220035e-09 -9.251306e-34 --8.876808e-34 --2.3499214e-10 --3.369558e-35 -3.389385e-07 -4.0115044e-34 -4.2159693e-34 -9.740015e-34 --7.252291e-34 --5.7153692e-34 --8.06324e-34 -0.00012584313 -8.030077e-34 -4.1957416e-34 --7.248931e-34 -9.800537e-34 --7.43183e-34 -5.4797726e-34 --3.0921774e-34 --3.9990336e-34 --6.4497024e-34 --1.19508075e-33 --3.4891944e-34 -4.9433307e-34 -8.8588285e-34 --3.6003482e-34 -2.4206831e-34 -5.1705148e-34 --6.0124277e-34 -6.0171696e-34 -2.3540904e-34 --2.4917675e-34 --1.1331074e-33 --2.0125455e-34 -4.905293e-34 --3.2201361e-34 --9.200843e-34 -1.1059512e-33 --5.662035e-34 --2.7820622e-34 -8.31973e-34 -5.761791e-34 --4.4845486e-34 --2.7695166e-34 --4.34592e-34 --9.884519e-34 --5.5085135e-34 -5.687894e-34 --1.1389453e-33 -8.480501e-34 --1.0427344e-33 --4.057013e-34 -7.959353e-34 -4.4281735e-34 -6.212967e-34 -1.092935e-33 --6.152787e-34 -7.888346e-34 -1.1708205e-33 --6.682465e-34 --8.859118e-34 -6.41595e-11 --7.015089e-34 -6.4624e-13 --4.5963445e-34 --7.604203e-34 -5.8550712e-34 -3.1219183e-34 -2.8646682e-05 --8.645267e-34 -6.0261424e-34 -1.0611905e-33 --3.9783883e-35 -3.281162e-34 -2.658104e-34 -2.6481768e-13 --5.926556e-34 -4.7346424e-34 -3.4988644e-34 -8.229008e-34 -2.7779613e-34 --1.1454781e-33 -7.1989634e-34 --2.8270364e-34 --1.4937594e-34 -9.516435e-34 -1.4519495e-34 -7.698489e-34 -4.1119454e-34 --9.660134e-34 --9.185864e-35 --1.6185648e-34 -1.0987531e-33 --8.536881e-34 -5.3726355e-34 -9.977831e-34 --9.44709e-34 -7.035216e-34 -4.4161266e-34 -1.0277696e-33 --8.920327e-34 -8.995103e-36 -7.620818e-34 -8.906157e-34 -4.261272e-34 --1.960451e-34 -8.935871e-34 -1.3277943e-34 -6.7876837e-34 --0.033345588 --3.3758373e-34 -0.19365174 -0.050248973 -4.4029413e-34 --1.3451911e-33 --7.530136e-34 --0.23474336 -1.0421688e-34 --0.20856488 --6.9623543e-34 --5.8298045e-34 --4.8552325e-34 -3.6243583e-34 -0.034897447 -5.3774638e-34 --0.041716035 --7.05571e-34 -0.081140734 --0.17835975 --7.3751843e-34 --1.5438539e-34 --8.501779e-34 -0.037078366 --6.0008573e-34 -0.08076051 -5.745498e-34 -9.637229e-34 -2.6362605e-34 --3.6626978e-34 --0.059515648 --7.3910557e-34 -1.1569524e-33 --3.0242747e-34 -1.005944e-33 -7.978063e-06 --8.412364e-34 --1.2182943e-08 --2.1957477e-34 --7.6715553e-34 --6.35186e-34 --2.157911e-34 -2.3331965e-34 --3.532302e-34 --1.5920331e-34 -1.7777901e-34 --3.7466238e-34 -1.4238859e-10 --5.1831734e-34 --6.4715666e-34 -1.1709996e-33 -3.7818307e-05 --7.5611286e-35 --1.2841633e-34 --3.386906e-34 --1.3669971e-34 --9.689689e-34 --2.8722532e-13 -3.887238e-34 -2.4365494e-09 --3.3148996e-34 -6.223599e-34 --8.741005e-34 --1.7368682e-34 --9.206181e-12 -8.7455935e-34 -4.4237452e-34 --1.1906462e-07 --7.229643e-34 --0.000110547815 --9.501887e-34 --1.5212954e-34 -5.343254e-34 -6.692016e-34 -5.1848696e-34 --3.646019e-34 -8.485838e-34 --1.8858759e-34 --5.5942112e-11 -4.9913157e-34 -0.03847853 --1.8638813e-34 --0.055637434 -0.120125726 --1.0272364e-33 -3.436155e-34 -3.2110566e-34 --0.115913935 --2.6480784e-34 -0.050686993 -2.6384912e-37 -4.4334403e-34 -8.266423e-34 -3.9301207e-34 -0.14391093 -5.0801757e-34 --0.13220151 -5.979591e-34 --0.102114625 --0.079165295 --7.5950306e-34 -6.931787e-34 --9.615554e-34 -0.050203457 -7.6029345e-34 -0.29246223 --1.0489525e-33 -6.3914906e-34 -3.2025113e-34 -5.631374e-34 --0.0060989037 -5.3433606e-34 --3.5565681e-34 -7.772584e-34 --2.96636e-34 --8.382009e-34 --1.0858027e-33 --1.06839735e-07 -2.13353e-34 --3.3556664e-11 --9.861757e-34 -2.1071573e-05 --6.4276343e-34 -6.732271e-34 --9.086246e-34 --7.0387748e-34 --9.799603e-34 -6.641164e-35 -1.1049143e-34 -4.116909e-34 --1.359584e-19 --3.051035e-34 -9.808398e-35 --2.2253577e-34 -1.092654e-33 --5.7741584e-15 --1.2094929e-33 -1.4732278e-33 --5.327823e-34 -6.9181015e-34 --7.4118004e-34 -6.565688e-34 --1.1797502e-33 -1.003862e-33 --8.015512e-34 -7.2990586e-34 -3.2593637e-06 -5.789668e-34 -7.525548e-34 -1.0875086e-34 -1.0207507e-33 --8.059557e-34 --1.02397965e-33 --7.449039e-34 -2.8966605e-34 -5.062346e-34 --3.1292201e-34 --1.02046905e-33 --7.4998284e-34 -4.5254788e-34 -6.0120952e-34 --7.952357e-34 -1.6214296e-06 --2.286319e-34 --9.5925335e-34 --1.1475308e-33 --2.489297e-34 --6.846594e-07 --4.3443236e-34 -8.0380883e-35 -2.5532578e-34 --5.7119833e-34 --8.143098e-34 -1.070342e-33 --1.11212834e-08 --1.1955093e-33 -8.896703e-34 --6.6450673e-34 --2.876571e-34 -6.2300043e-34 -3.6937013e-34 --2.21962e-34 --8.224049e-34 --6.4829762e-34 -6.441336e-34 --2.0151268e-34 --1.1207087e-33 -3.3703122e-35 -5.151789e-34 -6.6078137e-34 --5.3247134e-34 --1.1758103e-33 --1.5090409e-34 -9.872184e-34 --6.683778e-34 -1.0951934e-33 --3.166532e-34 -4.4272166e-34 --5.5650547e-34 --5.67586e-34 -1.0116775e-33 -0.0003287464 -4.281371e-34 --6.535528e-34 -8.550915e-34 -2.2841765e-34 --2.9228367e-10 -1.14421e-33 -3.6194486e-34 -1.0085777e-33 -8.458332e-34 --1.16822245e-33 -6.1675397e-34 --7.5841426e-36 --9.671955e-34 -2.2216843e-34 --5.966834e-35 --5.3624868e-34 --1.18233665e-33 -3.081664e-35 -1.1729062e-33 -4.3639654e-37 -5.080508e-12 -7.5071624e-34 -7.412752e-34 --7.3299897e-34 --1.0835128e-12 --5.201177e-34 --2.439615e-08 --3.9088714e-34 -8.539889e-34 -1.1272109e-34 -1.9727022e-08 --1.9972329e-34 --8.709454e-34 -8.546748e-34 --1.1497343e-33 --5.6081036e-34 -3.0304887e-35 -1.01162465e-33 --6.2146435e-34 -7.5592736e-35 --7.485063e-34 -5.704351e-34 --1.6208488e-34 --1.8033489e-06 --4.664879e-34 --1.0010069e-33 -7.724574e-34 --2.696202e-34 --4.0407003e-34 -1.0065175e-33 --5.156207e-34 --6.60762e-34 -9.077178e-34 -5.9728112e-34 -0.042928204 -1.6904528e-34 -0.09003242 -0.02136379 --1.024933e-33 --4.221597e-34 --1.0738232e-33 --0.19722699 --5.111766e-34 --0.009750033 --2.0294054e-34 -1.2586016e-34 -1.1344156e-33 -6.210707e-34 -0.12764949 -4.542571e-34 --0.118623905 -1.0156235e-33 --0.02860651 --0.20331982 -1.0772012e-33 -2.4545672e-34 -7.0146335e-34 --0.1806644 -1.1920354e-34 --0.09222094 -4.4202826e-34 --3.1302156e-34 -1.0504709e-33 -4.993545e-34 --0.076527 --7.889213e-34 -1.24742285e-33 -1.1118798e-33 -6.700494e-34 -0.00023640716 -2.4276824e-34 --1.3456325e-33 --1.5172753e-34 -9.545222e-35 -8.89391e-34 --1.099642e-33 --5.089066e-34 --4.3901004e-34 --5.712316e-34 --8.081669e-34 --7.154147e-34 -1.6066657e-34 --2.0066136e-34 -8.680482e-34 --8.887771e-34 -1.1095256e-33 --8.7066075e-34 -6.5501484e-35 -6.016283e-05 -0.00018401313 -6.642645e-36 --7.2748113e-34 --8.348044e-34 -1.7516335e-34 --4.4152376e-34 --4.387834e-34 --9.28091e-34 --9.360744e-34 -7.363042e-08 -5.3212926e-34 -4.4139666e-34 --2.937267e-05 -8.785011e-35 --1.6173408e-05 -7.3798463e-34 -1.3125482e-33 --4.438754e-35 --1.08761e-33 -5.650538e-34 --5.313613e-34 -1.8613182e-34 -9.04887e-34 -1.06738245e-08 -7.0269427e-34 --0.029020231 -1.127061e-33 --0.0341123 --0.005705883 -7.3719636e-35 --3.477925e-35 -5.0466773e-35 -0.005237019 --1.0371355e-33 -0.055324726 -8.303859e-34 -8.50222e-34 --2.0101523e-34 -8.411804e-34 -0.14169355 --3.301329e-34 --0.07384349 --3.7746795e-34 -0.042096756 -0.013743711 -2.2126036e-34 -4.365158e-34 -1.808769e-34 --0.069326706 -1.1122931e-33 -0.16311282 --1.1983986e-34 --1.1578417e-34 --4.125614e-34 -4.7618927e-34 --0.14324504 --5.920122e-34 -4.5708574e-34 -6.490109e-34 -1.0510844e-33 -8.750806e-34 --1.0981492e-33 -3.3069842e-05 -2.2541436e-35 --2.5736973e-08 -5.937049e-34 -1.8367393e-34 --1.0253022e-33 --1.1739506e-33 -7.859763e-34 --8.182794e-34 --6.6626184e-34 --4.854919e-34 -3.0816102e-25 -9.436141e-34 -1.684884e-07 --2.6261861e-23 -1.1823754e-33 --1.3310729e-33 -6.820897e-34 --1.2354435e-20 --1.7087904e-34 --2.452087e-21 -7.5503426e-35 --8.19612e-34 --1.171156e-34 -3.9612158e-34 --1.186522e-34 --3.474545e-34 -1.5929804e-34 -1.8772195e-34 --1.1913988e-33 --7.347929e-34 -2.427763e-34 -4.333941e-34 --3.7818473e-34 -1.1780253e-34 -6.1567857e-34 --4.3634883e-34 -8.828824e-34 -5.3325176e-35 --8.352189e-34 --2.2892707e-35 -1.4215451e-34 -8.072896e-34 -1.4936243e-33 --2.524393e-34 --1.15228715e-33 --7.833384e-35 --3.1260293e-34 --6.9372177e-13 --7.319527e-34 --2.7249083e-09 --2.144672e-34 -4.7760335e-35 -1.08527525e-33 -1.3513972e-34 --1.0280521e-33 --7.89572e-34 --5.743674e-09 --3.2376584e-34 --1.0535188e-34 -1.1436884e-33 --1.0481729e-34 -5.6282624e-35 --7.768539e-34 --4.836515e-34 --9.992076e-34 --1.1935384e-34 --3.398823e-35 --4.535405e-36 --6.4765565e-34 -9.402798e-34 --9.3024766e-36 -8.173561e-34 --4.60924e-34 --1.0117588e-33 --4.2500586e-34 --4.4558877e-34 -2.777115e-34 -1.1696639e-33 --1.082231e-33 --1.9139987e-35 --8.745114e-34 -1.2307868e-33 --4.0430834e-34 -8.205656e-34 -4.9251744e-34 -2.9673573e-34 --5.2596576e-34 -8.013903e-34 -2.0435933e-34 -7.5515644e-34 --3.8155633e-12 --9.360575e-34 -1.9883773e-11 -1.3402722e-33 -8.066048e-34 -5.872917e-35 -9.465834e-34 --0.00067199557 -1.1719917e-33 --1.2873177e-33 -7.5148817e-34 -1.7186625e-34 --5.406161e-34 -6.521022e-34 -1.5677458e-08 -4.1771486e-34 --4.550809e-34 -2.4880073e-34 -4.9296795e-12 --9.115665e-34 -9.149607e-35 --1.0134576e-33 --9.251339e-34 --6.374647e-34 -7.8901e-34 --9.967634e-34 --1.126942e-33 -4.2678673e-34 -2.14466e-34 -9.817547e-34 -9.12573e-34 -4.6423358e-34 --1.1455428e-33 --9.6313285e-34 -8.849886e-34 --4.7586803e-34 -5.701456e-34 --8.262418e-34 -8.561713e-34 -6.151068e-34 -1.1622668e-34 --1.2433703e-33 -5.4982017e-34 --4.410038e-34 -7.780292e-34 --2.6487506e-34 -9.598601e-34 -8.153137e-34 --0.40187782 -4.1881766e-34 --0.23001279 -0.104315035 --1.1933318e-34 --9.277543e-34 -7.800948e-35 --0.46425572 --8.748099e-35 --0.23079036 -2.0305074e-34 --5.4986026e-34 -1.0833846e-33 --1.1104509e-33 -0.01568505 -7.746613e-34 --0.18004921 -2.8474225e-34 -0.06619861 --0.15609807 --2.134953e-34 --1.5755863e-34 --9.765318e-34 --0.2394528 -1.1800336e-33 --0.21021116 -5.722605e-34 --4.318338e-34 --2.567721e-34 -7.813677e-34 --0.02658042 -4.856419e-34 -5.8729755e-34 --4.073967e-34 -1.1030144e-07 -1.2461739e-33 -1.0688022e-34 --1.2460332e-35 -8.7372153e-35 -6.246455e-34 -3.6689234e-34 --6.730955e-05 -1.6237723e-34 -1.061022e-33 --3.5954279e-34 -6.056908e-34 --1.3225395e-34 -9.395139e-34 --0.00020898806 -2.2832141e-36 -6.0233355e-34 -8.9611755e-34 --1.1353674e-33 --4.3518958e-07 -2.9051167e-34 --4.3798522e-08 -5.3097025e-34 --2.9734354e-10 -2.028311e-34 -1.6978822e-34 --8.283092e-34 --3.8118072e-34 --2.293261e-08 -8.600647e-34 --4.8584425e-05 --9.573102e-35 -7.139429e-10 --8.461252e-34 --1.2438163e-34 --1.30193365e-11 -1.48103105e-36 --1.8200473e-34 --6.7363853e-34 --1.2858953e-34 -2.001488e-34 -1.6153046e-34 --6.4709623e-34 --3.9039527e-34 -1.14852015e-33 -5.9309035e-34 -0.13604736 --9.414527e-34 --0.08093961 -0.12986042 --9.5948055e-34 -4.7218974e-34 --7.901021e-34 -0.14013647 -6.6681377e-34 --8.521951e-07 -1.5988975e-34 --5.1275706e-34 --2.4937548e-34 -1.8946676e-34 --0.029425645 -5.0842743e-34 --0.10912428 -1.9400855e-34 -0.032851677 --0.019004669 --6.7019635e-34 --6.011678e-34 --1.1507046e-33 --0.0018611638 --8.282123e-34 --0.03432438 -7.110657e-34 --6.1912994e-34 -8.747381e-34 -1.0102507e-33 --0.032382805 --1.3582689e-34 -4.5770592e-12 -2.1257006e-34 --1.1007858e-33 --7.201384e-34 --5.9971665e-34 --1.044359e-06 -1.192474e-33 -7.701369e-34 --4.5767643e-34 --0.00041979624 --4.5328238e-34 --6.143924e-34 -4.7747295e-34 -3.4029937e-34 --1.1777588e-33 --2.5203219e-34 --1.2156461e-14 --1.0415692e-33 -4.6602872e-06 --1.4043719e-33 --4.8004544e-34 --6.15521e-07 -4.951995e-34 --1.17844925e-33 --6.13631e-34 --1.4581567e-33 -8.18275e-34 --2.7368466e-34 --4.136594e-34 -4.132154e-34 --3.902121e-05 -2.7164543e-34 -3.7614703e-34 --4.9060533e-34 -5.3421865e-34 --7.49584e-34 --1.0715029e-33 --1.6452554e-34 -5.26199e-35 --8.221025e-34 -1.0859506e-33 --3.5332674e-34 -7.895969e-34 --7.818438e-34 -4.2831313e-34 -3.7579749e-34 -7.266528e-34 -7.5149767e-34 -8.336606e-35 -8.543311e-34 --7.068218e-34 --5.0517363e-35 -2.855933e-34 -3.7283228e-34 -1.9382593e-34 -2.38763e-34 --6.512155e-34 --1.0691312e-33 -1.0822171e-33 -7.127527e-34 --4.6022808e-35 -6.5055007e-34 -8.438874e-34 -8.631813e-34 -2.7219536e-35 -5.1151265e-34 -2.3793852e-34 -6.251607e-34 -9.071756e-34 -6.527405e-34 --4.7739278e-34 -7.7490755e-34 -8.940126e-34 -4.8711724e-34 -3.3153817e-34 -1.124074e-33 -1.0275382e-35 -3.217452e-34 --7.2966892e-34 --2.1599709e-34 -1.3359493e-35 -7.719624e-34 --3.154549e-13 --7.1549696e-34 --7.183567e-34 --1.2060675e-33 -8.7190475e-34 -7.918071e-34 -1.004234e-33 -6.030668e-34 --3.7529861e-34 --8.033073e-34 -8.802778e-34 --7.940692e-34 --1.1410142e-33 -5.0360423e-34 --8.365773e-34 -1.0859681e-33 -1.6652248e-08 -1.3884381e-33 -2.8393552e-34 -4.063887e-34 --3.215442e-34 -8.885077e-34 -1.1524706e-33 --1.1325917e-33 -1.8925818e-34 -1.0303307e-34 --2.28011e-35 --2.0370454e-34 --4.161773e-11 -8.838895e-34 --1.0070695e-33 --7.442435e-34 -4.2012756e-34 --1.1086028e-33 --1.0368448e-34 -7.1890443e-34 -4.922245e-34 -7.287415e-34 -6.2601833e-34 -2.221126e-34 -8.935965e-34 --1.560759e-34 --9.593224e-34 -3.7656484e-34 -8.856839e-34 -1.1136179e-33 -3.6763216e-34 --3.440053e-34 --1.0679778e-33 -3.1790005e-36 -6.705431e-34 -7.428478e-34 --9.278374e-34 --4.6056897e-34 --9.2041015e-34 --1.2067992e-33 --2.3272854e-35 --1.0786961e-34 --8.815238e-34 --3.3900022e-34 -8.081379e-35 -7.5104446e-34 --0.4908681 --3.883027e-34 --0.1569343 -0.08769856 -1.0420119e-33 --3.9929004e-34 --8.482415e-34 -0.043474276 -4.024785e-34 --0.2964283 -1.0737865e-33 --1.3705575e-34 --1.8846444e-34 -5.7195294e-34 -0.1351474 --1.119998e-33 --0.1908141 -8.715765e-34 -0.19243155 --0.030097228 --4.905369e-34 -5.1714074e-34 --2.1864748e-34 --0.1241161 -2.2534775e-34 --0.019261573 -6.9853435e-34 -1.0664733e-33 -5.3837044e-34 --1.0440543e-34 --0.008063731 -2.7221423e-34 -5.6176744e-11 --7.900113e-34 -4.522586e-09 -4.211401e-34 --4.6998073e-34 -8.486658e-34 --1.1867601e-33 -1.1863236e-33 -4.409285e-34 -1.0791273e-33 --9.598536e-34 -1.2048358e-33 -1.1110109e-33 -1.7241159e-34 -1.1208501e-33 -8.993575e-34 --9.079148e-13 -7.5565185e-34 --9.956878e-34 --0.00044804302 -1.1787064e-33 --4.5696467e-11 --7.5988198e-34 --1.2680239e-07 --7.6415563e-34 --6.22852e-11 -6.3845635e-34 -6.3868722e-34 --6.6860117e-09 -1.0267031e-33 --1.7339423e-34 --7.950833e-34 -4.2611082e-34 --1.4363558e-34 -1.7566609e-07 --8.760754e-34 --7.1063482e-34 --3.5577377e-05 -1.6064793e-34 --1.43883785e-08 --6.3987323e-35 --3.5860806e-34 -3.2108125e-34 -5.1440863e-34 --5.3949093e-34 -3.3930764e-34 --6.5723487e-34 -1.3327523e-34 -0.16266146 -1.07060995e-33 --0.27923742 -0.18008994 -6.199529e-34 --2.3622234e-34 --3.8297018e-34 -0.3983295 --3.4420194e-34 --0.019372283 --5.221437e-34 --3.1468154e-34 -6.7575497e-34 --4.6251625e-34 -0.101851806 -5.586082e-34 --0.12764324 -3.8687787e-34 -0.14401597 --0.07035819 --8.2611805e-34 -8.368604e-34 -6.0004946e-34 -0.0046106335 -6.825358e-34 --0.0048487936 --7.0524073e-34 --3.71011e-34 --1.8697303e-34 --3.3936554e-34 --0.006768227 -3.7920826e-34 -4.2439166e-34 -3.2429644e-34 --8.000607e-12 -1.2018078e-33 -3.0470338e-34 --8.729428e-09 --5.697087e-34 --5.4834167e-34 --1.8138568e-34 -1.8735533e-05 --1.5547209e-34 --9.785765e-34 --6.3648496e-34 --1.4986881e-34 --6.0200813e-34 -7.1377615e-34 -5.2611787e-05 -3.859483e-34 -0.00047111927 -0.00044018638 --1.955064e-08 --3.0953213e-13 --9.255987e-34 -5.1636572e-08 -1.1552962e-33 --7.2443217e-25 -2.6501022e-34 -1.1757513e-33 --6.5964335e-35 -1.9595893e-34 -1.1893152e-33 -8.97972e-34 --5.599219e-34 -1.1836826e-33 --2.2657823e-06 --6.9359043e-34 --1.0107284e-33 -1.260473e-33 -5.0589737e-34 --1.9426284e-34 --5.1447384e-34 -3.0297866e-34 --1.9339313e-35 -1.0274538e-33 --1.128904e-33 --4.525663e-34 -7.171171e-34 --1.0301937e-34 -4.217615e-34 --2.742068e-35 --1.6295437e-33 -1.804472e-34 -9.149837e-34 --1.1025182e-33 --1.1658835e-33 --1.0832195e-33 --2.2234705e-34 --5.5205894e-34 -4.161923e-34 --4.876729e-35 --9.789124e-34 -9.3305375e-35 --4.5282476e-34 -4.259223e-34 --1.0743062e-33 --8.058142e-34 --4.0835535e-34 --1.2596395e-34 -7.739558e-34 --6.6674816e-34 --5.7397713e-34 -3.8536296e-34 -8.169445e-34 -9.308598e-34 -3.4499308e-34 --5.71595e-34 --1.4996776e-34 -7.1986723e-35 --3.1253132e-34 --6.1789567e-34 -4.235071e-34 --7.2115036e-34 --5.7073483e-34 -3.094195e-35 --4.8156477e-34 -1.3400213e-34 --7.959449e-34 --3.194406e-34 -1.1231613e-33 -5.8437204e-34 -3.0646607e-34 -1.2514901e-34 --8.998971e-34 -5.618681e-34 --1.0152216e-33 -1.1055151e-35 --1.4165062e-06 --5.943687e-34 --4.710139e-34 --1.5137857e-33 --3.7620365e-34 --2.2247663e-05 -1.1395129e-33 -1.0555263e-33 -4.0872118e-34 -8.237748e-34 -5.769955e-34 -7.649323e-34 --8.925122e-34 --9.812889e-35 --9.860753e-08 -6.7589823e-35 -4.583921e-12 -7.288153e-34 --8.988789e-34 -7.045083e-34 --8.965088e-34 --6.544605e-34 -1.5534268e-34 -2.5505344e-34 -3.3871613e-34 --8.281736e-34 --7.874725e-34 --6.1189918e-34 -6.8992812e-34 -2.6492098e-34 --3.7633709e-34 --1.1301838e-33 -3.3070959e-34 -2.9527546e-34 -6.022234e-34 --3.5517286e-34 -1.124022e-33 -5.8864735e-09 -1.475103e-35 -4.2420065e-34 --6.343578e-34 -9.851201e-34 --2.8819402e-34 -6.704288e-34 -2.5467195e-34 --2.6026616e-35 --3.683513e-34 --3.6704687e-34 --0.26478985 -3.0920901e-34 -0.22137296 --0.002050902 --1.4493042e-35 -9.5306345e-34 -8.927878e-34 -0.089652956 --8.643763e-34 -0.0006704323 -6.0171985e-34 -2.1142012e-34 -8.798744e-34 -6.5954444e-34 -0.26583657 --3.6643493e-34 --0.011583049 --2.6736803e-34 -0.12326865 --0.11084435 -1.1676401e-33 --6.0506446e-34 --7.695169e-34 -0.07820347 --1.0974626e-33 --0.143132 -3.4758599e-34 --4.4565705e-34 --3.911563e-35 -4.5450994e-34 -0.08438152 --4.9420786e-34 -3.849194e-06 -8.2122175e-34 -4.042943e-10 -2.3484986e-34 -1.5124544e-34 -4.5502505e-34 -8.349821e-34 -1.4565462e-33 -7.086852e-34 --3.773865e-12 -7.1657144e-34 --2.1623517e-34 --1.16518885e-33 -7.741481e-34 -8.475902e-35 --3.558709e-11 -9.990837e-34 --9.329994e-34 --8.513778e-34 --8.619922e-34 -6.332331e-34 -6.6584564e-34 -1.0699032e-33 -4.758824e-34 --9.129848e-34 --6.89328e-34 --9.462766e-34 --1.5004866e-05 -9.757529e-34 --1.0029728e-33 -4.382617e-34 --8.62846e-34 -4.7273975e-34 -8.2268965e-34 -1.40136265e-33 -8.377481e-34 -7.953865e-34 --5.046525e-05 --2.6017712e-34 -1.061273e-33 --9.487781e-34 --5.0323207e-34 -1.1994766e-33 --4.9735405e-34 --4.2998757e-34 --1.1056876e-33 --1.1808313e-33 --2.7758215e-34 -0.18085323 --8.992961e-34 --0.13162562 --0.042854086 --1.0921172e-33 -8.421555e-34 -1.1644721e-33 -0.42059025 --1.1515901e-33 --0.08898079 -1.10274025e-33 -1.144116e-33 --3.4146543e-34 -5.2784297e-34 -0.096739754 -2.725615e-34 -0.11847663 --7.024939e-34 -0.066517666 -0.049288146 --6.660463e-34 --2.4255715e-34 -3.5502868e-34 --0.06665681 --6.1320127e-34 -0.049763806 --3.8742457e-34 -1.0951482e-33 --7.3097088e-34 --3.146187e-34 -0.0034890892 --8.117442e-34 -0.0003923449 --9.669991e-34 --1.2897838e-10 --7.27315e-34 --8.56535e-34 --7.2777766e-05 --8.168808e-34 -5.6511584e-11 -7.0337257e-34 --9.457734e-34 -8.83355e-34 --3.620586e-34 --3.2623173e-34 -2.6175837e-34 -1.0831837e-33 -8.525688e-34 -0.00036622613 -5.685832e-34 -3.51708e-07 -1.0103995e-06 -9.891271e-34 -4.7203642e-08 -1.5317812e-34 --5.0926456e-06 -6.326163e-34 -2.3797634e-06 -1.1087549e-33 -6.3934274e-34 --7.350067e-34 --6.4455e-34 --1.9536841e-17 -4.1698614e-34 -1.6460319e-35 -9.137891e-34 --9.590539e-34 -4.371143e-34 -1.0047863e-33 --5.8549436e-34 --1.5138012e-34 --5.5641107e-34 -2.1329813e-34 --6.0954525e-34 -7.4107797e-34 --7.9359525e-34 --5.313487e-34 --6.8621237e-34 -5.87954e-34 -7.653726e-34 -4.0700904e-34 --8.438002e-34 -8.8034535e-34 -5.001914e-34 --5.124799e-34 --9.541987e-34 --1.1037163e-33 --7.264651e-10 -1.107532e-33 -1.699471e-35 --9.712081e-34 -3.8663855e-34 -4.2800704e-34 -2.0546936e-34 -6.59852e-34 --6.9504107e-34 --6.137361e-34 -7.3824296e-34 -1.389553e-34 --1.5790788e-34 -7.242881e-34 -4.9234047e-34 --5.020819e-34 -2.8609622e-34 --2.1753946e-34 -1.1962657e-33 --2.840302e-35 --3.4512018e-34 --3.3740279e-34 -1.8896705e-34 --1.0099736e-33 --5.1651405e-34 -7.601114e-34 --1.6049728e-06 -1.2185696e-33 --1.1868584e-33 -9.41881e-34 --9.884438e-35 -2.0185854e-07 -5.614631e-34 -1.1468578e-33 --5.731437e-34 -1.0181677e-33 -1.0880361e-33 -1.0953256e-33 --6.9202087e-34 --5.0283093e-34 --8.069899e-35 -1.0772039e-33 --1.7371628e-34 -1.0803087e-34 --1.2964292e-33 -7.5261007e-34 --1.29819245e-33 -7.778144e-35 --6.9796153e-34 -2.9500615e-35 --1.3583175e-33 -2.5053906e-34 -2.9508563e-34 --2.2623362e-34 --1.0431835e-33 --8.866607e-34 -8.76143e-34 --7.599252e-06 -6.2841046e-34 --7.455618e-11 --1.0515308e-33 -4.8072867e-08 --6.755992e-34 -1.0683003e-33 -2.2617867e-05 -8.082846e-35 --4.890624e-34 -3.7654813e-06 --7.6573465e-34 --3.8315532e-34 -8.2729235e-34 -1.147727e-34 -7.098674e-34 -5.959286e-34 --5.4222267e-34 --2.9643323e-34 -6.862771e-34 -3.5077045e-34 -5.669336e-12 --2.3814432e-34 --8.886649e-34 --1.0951205e-33 --1.2101264e-06 -8.244562e-34 --1.5996182e-34 --1.9340298e-34 -3.336841e-34 --5.414025e-34 -7.8415125e-34 --0.025814746 -6.7649677e-34 -0.22245367 -0.013681968 --7.623038e-34 -6.5984906e-34 -2.3991438e-34 -0.09745837 -1.0612231e-33 --0.034739163 -5.4577606e-34 -5.9674095e-34 --9.41789e-35 -5.554947e-34 -0.11050139 -3.281576e-34 --0.0516357 -9.973272e-34 -0.3658169 -0.032154866 --4.552673e-34 --6.73925e-34 -1.6389438e-34 --0.024029028 --6.339408e-34 --0.06841854 -6.334644e-34 -1.061793e-33 -5.974201e-34 --5.933686e-34 --0.09511004 --2.648593e-35 --5.9891235e-34 --2.4036024e-34 --5.1355567e-34 -7.789472e-34 --5.485428e-34 -7.229825e-05 -1.0781083e-33 -1.0517932e-33 -2.0103263e-34 --9.030136e-12 -9.019101e-34 --1.1620864e-33 -1.8166599e-34 -8.035772e-34 --6.992166e-05 --9.369542e-34 -3.0945215e-34 -9.308525e-34 -4.7914556e-35 -6.390755e-34 --1.2159203e-34 -1.3080607e-34 -9.8438395e-34 --4.28356e-34 -1.6735991e-34 --7.1035023e-34 -4.978329e-35 --3.1666091e-34 --1.0102125e-33 -1.0666585e-33 --1.0702653e-33 -5.0473707e-34 -7.5919743e-34 -7.07626e-35 -6.2927886e-34 -9.370127e-35 --7.1207554e-34 --1.8275061e-09 --5.173235e-34 --4.396525e-34 --5.000475e-34 -1.2786763e-33 -6.6469623e-34 -7.754976e-34 -8.2667265e-34 --1.6786257e-34 -6.0866326e-34 --5.827795e-34 -0.07733553 --3.5832578e-34 -0.092228845 --0.037110545 -1.0541187e-33 -5.421262e-34 -4.7926907e-34 -0.2935409 --1.0856256e-34 --0.025833314 --3.9974465e-35 -1.0196269e-33 -1.0019078e-33 --9.311524e-34 -0.06791335 -7.0690993e-34 -0.21375397 --7.0298236e-35 -0.121860884 --0.044978123 -7.24704e-34 --5.1283095e-34 --6.790965e-34 --0.022117186 -7.6149984e-34 -0.010439351 --4.4145475e-34 -2.3077985e-34 -4.558297e-34 --4.423895e-34 --0.12530461 --4.4141696e-34 --6.9819256e-10 -1.1136889e-33 -5.8901377e-34 --1.1782274e-33 --2.6755868e-34 --6.6044115e-05 --8.138724e-34 -1.2948701e-06 --9.130543e-34 --6.337938e-12 -4.725042e-34 --3.4095627e-35 -1.1797399e-33 --1.1917863e-33 --2.0628635e-08 --2.5354472e-34 -0.0038262033 --1.2804917e-34 -0.00026856747 --7.2908566e-05 -1.0527294e-33 --5.4219754e-07 -5.7264997e-34 --9.802619e-07 --1.0427392e-33 --0.0010022388 --1.2410881e-34 --3.4810217e-34 -8.919651e-34 --6.3532007e-34 -0.0004620671 --5.4397553e-34 --9.140321e-34 -5.7656023e-34 --7.0738017e-34 -4.1770365e-34 -5.045104e-34 -3.4680626e-11 --5.67602e-34 --4.9260498e-06 -4.238459e-34 --2.4930443e-06 --4.4751387e-34 -8.6597383e-35 -9.6843295e-34 --2.3408576e-34 --4.0525168e-36 -6.6195e-34 -1.2066173e-33 -3.9019594e-35 -7.877704e-34 -6.795004e-34 --1.4840616e-36 -9.5541095e-34 -5.558482e-34 --4.346302e-34 -4.3380636e-34 --9.805956e-35 --7.13661e-34 --4.029734e-34 -6.6927983e-34 --1.0425113e-34 -7.942007e-34 -1.089072e-33 --1.1114311e-33 -3.1595626e-34 -8.603002e-34 -1.5920528e-34 --5.763799e-34 -4.706926e-34 -6.79112e-34 -1.16544975e-33 -6.059545e-34 -3.6595853e-34 --9.480252e-34 --8.372997e-34 -4.4635403e-34 -7.350693e-34 --1.3080475e-33 --6.4145845e-34 -1.941711e-34 -7.196876e-34 --3.2281118e-34 --1.0504045e-33 --7.6900547e-34 --3.4519567e-34 --8.629715e-34 --5.3315318e-34 -8.423651e-34 --7.969742e-34 -3.6903176e-35 -9.713962e-34 --8.399315e-34 -4.5310697e-34 --1.1648187e-33 -1.03668325e-33 --3.2938413e-12 --1.1196653e-33 --6.1105565e-11 -4.4087797e-34 --3.838137e-34 --8.550645e-34 -2.778646e-34 -2.8201597e-34 --1.0983107e-33 -2.963825e-06 --9.528766e-34 -4.1198653e-34 -1.345896e-34 -3.096469e-34 --2.7198e-34 --9.4259935e-34 -9.567701e-34 --9.884392e-34 --6.9768014e-08 -2.472072e-34 -2.1040247e-35 -8.235337e-34 -8.684964e-34 --2.0551916e-08 --1.1408026e-34 --6.851861e-34 --7.1903667e-34 --5.7634286e-34 -3.9784184e-34 -1.0372386e-33 --1.1523518e-35 --4.8197913e-34 --4.1262203e-34 -6.584022e-34 -1.1724131e-33 --1.1600116e-33 -8.484836e-34 --1.1237726e-33 --1.18023095e-33 --3.839174e-06 -2.3681776e-34 --7.475123e-34 -3.0186047e-34 -8.458877e-34 -1.1911262e-33 -4.0932917e-36 --9.889853e-34 -4.0354165e-34 --0.18693413 --3.526039e-34 -0.18618271 --0.05078105 -3.2216085e-34 -9.002888e-34 -4.792307e-34 -0.077185065 --7.222584e-34 --0.10263662 --2.8830922e-36 -9.499863e-34 --6.584405e-34 --2.7066182e-34 --0.13652346 --8.550056e-34 -0.05059156 --9.540999e-34 -0.13267952 --0.116230816 -1.0636178e-33 -3.8702017e-34 -1.0507167e-33 --0.09699095 -6.7710706e-34 --0.03731222 -5.7270236e-34 --3.2529496e-34 --3.2594957e-34 -4.464072e-34 --0.01135788 --2.8480506e-34 --6.648835e-34 -6.4157793e-34 --1.12430745e-33 -5.2316474e-34 -5.4562806e-34 --7.1344866e-34 -7.590964e-34 -8.834648e-34 -4.3814155e-34 --1.577631e-34 --1.04202395e-33 --3.853138e-34 --5.556482e-34 -2.7096003e-34 --1.2689403e-33 --9.827072e-11 -8.809897e-34 -1.2868043e-08 -7.502299e-35 -4.7123162e-34 -1.0128192e-33 --4.8825336e-12 -1.1630192e-33 -1.3319166e-09 --1.1333749e-33 --0.000253036 -4.1689247e-34 -2.9831108e-35 -5.2803427e-34 --1.4792306e-34 --8.253773e-09 --8.684106e-34 -4.3503046e-10 --1.1341839e-33 -3.7538384e-34 -1.2508494e-33 -4.513634e-34 --5.6504163e-12 --2.6234003e-34 --6.1497596e-10 -7.1389407e-34 --2.3483732e-34 --7.893947e-34 -1.2107913e-34 --9.735958e-35 --5.651208e-34 -6.8498407e-34 --3.1725518e-34 -0.022474531 -8.824028e-34 --0.015011477 --0.007839918 --8.604935e-34 -7.2013484e-34 -6.6586497e-34 -0.05696629 --9.563856e-34 --0.10774127 -1.492822e-34 -2.614934e-34 --1.1081631e-33 --8.457709e-34 --0.040418588 --5.9971164e-34 -0.14156066 --2.9202365e-34 -0.12359118 --0.12289266 --7.907991e-34 -1.017738e-33 -3.7656043e-34 -0.043734834 -9.052275e-34 --0.009304325 --1.2123481e-33 --1.0645589e-33 --8.24441e-34 --5.763202e-34 --0.012596042 -3.7541983e-35 --1.2651877e-09 -8.3776215e-34 -6.903561e-34 -4.1579292e-34 -9.645254e-34 -4.7719627e-11 --8.689082e-34 --1.5504036e-34 -8.6409115e-35 --0.0010526172 --3.655102e-34 -8.917064e-34 -1.7267406e-34 -4.4563386e-34 --5.2492338e-05 -7.0723645e-34 -1.1043199e-05 --3.365995e-34 --2.3474813e-06 --5.444512e-06 -1.1001452e-33 --4.2388914e-34 --5.1516178e-34 --7.10908e-10 --1.1998091e-33 --2.0444026e-05 --5.8374053e-34 --5.581704e-34 --6.185183e-34 --4.415514e-34 -1.0615035e-12 -6.192596e-34 -1.2897421e-33 --9.71675e-34 -2.1646198e-12 --3.1169142e-34 --3.1945639e-34 -1.5393141e-05 --8.197031e-34 --4.2634863e-13 --4.652016e-35 --3.8793026e-34 --1.0395142e-33 --4.3903212e-34 -3.827674e-34 --9.280617e-34 --1.2916964e-33 -1.3282324e-34 -2.5632536e-34 -1.0592491e-33 --1.2655225e-33 -1.37282165e-33 --9.071532e-34 --9.568113e-34 --3.0826834e-35 -8.809801e-34 --5.038953e-34 -1.10689985e-33 -1.066972e-33 -8.899067e-34 -3.0718165e-34 --4.3005403e-35 -6.35149e-35 --4.4876995e-34 --1.0931304e-33 -3.8081483e-34 -9.316654e-34 --8.764946e-34 --2.9140673e-34 -1.2138125e-33 -1.2021655e-33 -1.2171568e-33 -7.0969016e-34 -9.04525e-34 --8.663794e-34 -8.923706e-34 -6.4190844e-34 --1.8280917e-36 --9.932942e-34 --3.0730875e-34 -8.11767e-34 -7.351806e-34 -6.3235025e-34 --5.436206e-34 -1.1727973e-33 -5.2160064e-34 -1.3472047e-34 -8.990401e-34 -2.4221318e-34 -2.7567962e-34 -6.1662026e-34 --4.6524083e-34 -7.190308e-34 --8.213032e-35 --1.0301606e-33 --1.139618e-33 -4.0974874e-06 --1.3333784e-34 -7.9817053e-10 --7.765463e-34 --1.8804466e-34 -2.123576e-07 -5.4859247e-34 -8.404397e-34 --4.0838125e-34 --1.565775e-08 -2.7633484e-35 -4.557981e-34 --4.9122807e-36 --4.545822e-34 -1.4143781e-08 -1.1645446e-33 --8.926625e-34 --1.38017e-34 -1.4697254e-07 -5.150928e-34 --8.861005e-35 -1.5191225e-07 -5.7467256e-34 -2.1997026e-34 -8.682679e-36 --1.1431907e-33 --2.3386607e-34 -4.057105e-34 -7.474674e-34 -8.617733e-34 -3.76887e-34 --5.6895543e-34 -8.492203e-11 --9.4063425e-34 -1.291609e-12 -1.0050624e-33 --3.0961052e-34 --5.5447275e-10 -4.137105e-34 -0.00074772036 -6.28428e-35 --1.2719084e-33 --4.701573e-34 -9.206295e-34 --9.525949e-34 -1.1784323e-33 --5.727395e-34 -7.3148497e-34 --0.015227499 -4.839899e-34 -0.04898251 --0.17362519 -5.793668e-34 -5.0235876e-34 -4.406162e-34 -0.21411389 -4.9538353e-34 --0.13198777 -2.2924048e-34 -7.548326e-34 --1.0307949e-33 --1.0870654e-33 -0.02880406 -1.0895891e-34 --0.067251235 -1.4407589e-34 -0.040553354 --0.294105 --1.1712082e-33 --7.1341198e-34 -7.839245e-34 -0.06986464 -8.76925e-34 -0.063717745 -7.5497534e-34 --8.879965e-34 -1.0381397e-33 -5.3805288e-34 -0.012179442 --9.787552e-36 -5.599728e-34 -6.7280154e-34 --4.302799e-34 -6.892505e-06 --7.110356e-34 -7.8702286e-35 -1.2132379e-33 -3.3943869e-34 --3.0098719e-34 --1.2255149e-33 -4.3683964e-34 --4.777084e-34 --6.839774e-34 --3.949693e-34 -1.2974519e-33 -1.2005603e-33 -6.139869e-12 -8.412389e-34 --1.683378e-12 -7.950221e-06 -4.672388e-35 --2.5344834e-34 -3.2441292e-09 --5.2697735e-10 -1.1692704e-33 -2.5534088e-34 -4.8475734e-34 --1.1405835e-08 -3.7476284e-34 --8.0397275e-34 --9.104975e-34 --4.9424367e-34 -1.3341605e-07 --7.739209e-34 --6.9188206e-34 -7.382898e-34 --1.0318831e-33 -1.2846184e-33 -3.8334547e-34 --5.624713e-34 --3.57629e-34 -5.1935997e-11 --2.8866886e-34 --5.548642e-34 -6.9209576e-34 -7.6230515e-34 -3.705746e-34 -1.0358277e-33 -0.1774211 --2.420813e-34 --0.029525898 --0.019537164 -8.313716e-34 --8.867415e-34 -3.8963785e-34 --0.009182308 --5.460158e-34 --0.05790976 --4.2247795e-34 -1.0997854e-33 --1.1145707e-34 --8.496586e-34 --0.04517848 -1.8469619e-35 -0.021729292 --9.161396e-34 -0.079113744 --0.11434905 -5.527619e-34 -5.213203e-34 --7.830723e-34 -0.039123926 -1.027027e-34 -0.034023255 -5.018266e-34 -2.6594825e-35 --3.2642633e-34 --1.4379757e-34 -0.0109211495 --1.1042465e-34 -4.7464355e-06 -5.0359955e-34 --3.821194e-11 -2.4792057e-34 -4.2255973e-34 --0.0002462336 -7.4430034e-34 --6.2935674e-34 -3.6546188e-34 -1.1189955e-34 -8.197888e-34 -4.7489274e-34 --4.6272435e-34 -7.6955887e-34 --5.232395e-34 -7.637211e-34 --3.3638827e-07 --1.4851485e-34 --5.915576e-10 -2.0489195e-09 --5.1051953e-05 --7.898499e-34 --9.950184e-34 -1.8978403e-07 --8.664602e-35 --1.9818236e-10 -1.0472724e-33 --1.1789783e-33 -1.0219092e-33 --6.207697e-34 -1.2452482e-18 --5.445965e-34 -2.2801946e-34 -9.617494e-34 --1.10898855e-33 -2.2738763e-34 --2.1061993e-34 -1.3736709e-33 -7.886025e-34 --7.812532e-34 -3.6108443e-34 --9.289693e-35 -2.3824814e-34 -1.945996e-34 --3.55591e-34 -5.531736e-34 --7.337915e-34 --2.6575427e-34 --1.159252e-33 --9.638175e-34 -2.2546533e-07 -7.5616907e-34 --5.297953e-35 --9.67066e-34 -2.7702168e-34 --2.430778e-12 -3.6900503e-34 -1.1060079e-34 --1.0960432e-33 -3.582532e-34 --4.509944e-34 --9.829774e-34 --1.3255912e-08 --3.2267724e-34 -1.6218057e-34 -9.53189e-34 -8.783431e-34 -7.459789e-34 -9.297977e-36 --1.2968621e-34 -1.1678389e-33 -1.6968229e-34 -3.8135787e-34 -9.329241e-34 --1.7497888e-35 -1.9480003e-34 -1.1847965e-33 -7.889218e-34 -7.084244e-34 --1.1213501e-33 --5.8282332e-34 --6.4034632e-34 -6.1102545e-34 -6.933176e-34 -2.2183856e-34 --9.62602e-34 -1.0498556e-33 --9.787372e-34 --1.7930587e-34 -3.85962e-34 --1.6422115e-34 -8.665965e-36 -1.0349541e-33 --3.2104367e-34 -1.5588561e-34 -6.447223e-34 -4.1546714e-11 --5.908849e-34 --1.0766728e-11 -1.3294665e-33 -2.5735424e-34 --6.1949287e-35 --6.365587e-34 --2.9369286e-34 -4.5047864e-34 -8.010625e-34 --7.5780705e-34 --1.1140043e-33 -6.1472973e-34 --5.7673325e-34 -1.9900238e-34 --4.4309286e-34 --9.662167e-34 -2.3378461e-34 --1.3748114e-09 --1.15670775e-33 -1.0370349e-33 --4.2508668e-34 -6.2544014e-34 -9.443127e-34 -9.047927e-34 --1.1861601e-34 --1.12855245e-33 --6.314572e-34 --2.0405755e-34 --6.0549053e-34 --1.5193912e-34 -9.142131e-34 --3.7937317e-34 -2.0900115e-34 --3.121349e-34 -9.411236e-34 --8.85195e-35 -7.6369223e-34 --1.0811795e-34 --8.983804e-34 -1.2416223e-34 -1.11812885e-33 -4.879252e-34 --7.758621e-34 --3.4031223e-34 -5.491319e-34 --1.6332025e-34 -8.6584205e-34 -0.020266581 -1.0334522e-33 --0.075468846 --0.0627535 -8.800919e-34 --5.4953048e-34 -4.359528e-34 -0.10161836 -9.093678e-34 --0.09406148 -5.9721574e-34 --1.6578911e-34 -3.1546278e-34 -7.810018e-34 --0.014679499 --2.547524e-34 --0.037409853 --5.506427e-34 -0.30025092 --0.05200063 --1.1593082e-33 --4.5448727e-36 -1.5560999e-34 --0.08956815 --7.3944174e-34 -0.124376304 -6.117533e-34 -1.09942816e-35 --2.735601e-34 -9.136756e-34 --0.106543355 --8.066409e-34 -1.4003341e-33 --9.123608e-34 --1.10385385e-33 --5.5505374e-34 --6.6679146e-34 -7.258854e-34 --2.001175e-34 --8.178267e-34 --9.859347e-34 -3.9547946e-34 --3.2204146e-34 --1.1511927e-33 -2.406415e-34 -6.7760184e-35 -3.8028859e-34 -4.020558e-36 -6.550832e-09 -5.547496e-34 -4.4980975e-08 -5.7855854e-05 --2.5858525e-34 --1.2380355e-05 --2.130084e-34 --0.00029694184 -1.0136805e-33 --8.934075e-09 --3.4311146e-34 --1.1643301e-33 --5.098579e-10 -9.673027e-34 --8.933415e-11 --7.9157275e-34 --7.458404e-05 -1.1176103e-33 -3.4503698e-35 --1.5469212e-34 --8.884006e-34 --2.6665012e-07 -1.7924562e-34 --4.666241e-10 --9.155722e-34 --1.2971518e-12 --6.9889894e-34 --6.261042e-34 --1.1161975e-33 --3.257268e-34 -1.4379196e-11 -2.184834e-34 --0.15806776 -8.241114e-34 --0.076096736 -0.07895726 --2.9615937e-35 -2.5207312e-34 --9.235807e-34 -0.08713767 --1.3686989e-34 -0.026970997 -5.6644915e-34 --6.729214e-34 -1.1273647e-33 -5.2617092e-34 --0.053029485 --2.946074e-34 --0.0055368757 --7.4751853e-34 --0.085443154 -0.014504894 -1.076528e-33 --1.3878829e-34 -9.701571e-35 --0.07235806 --3.2052338e-34 --0.07206277 -8.0139603e-35 -1.4288538e-34 -1.370575e-34 -1.0557696e-34 --0.044698864 --6.2704717e-34 --2.9147852e-34 -6.469237e-34 --3.0132328e-34 --8.532703e-34 -1.0886268e-33 --3.3341404e-08 --8.43445e-35 --1.0660397e-33 --3.4611322e-34 -4.7093536e-34 -6.0334677e-34 --2.625125e-34 --8.233197e-34 -1.9338124e-34 --3.6572315e-34 -1.08646645e-33 --1.0073505e-08 -4.015675e-34 -7.958207e-34 --7.5854933e-10 -7.980108e-34 --8.848739e-34 --9.548779e-34 -7.2883995e-07 --1.2399748e-34 -2.7662914e-10 -1.0297499e-33 --3.5646908e-34 --5.325342e-34 --4.165754e-34 -4.00434e-09 -5.287601e-34 --6.0806266e-34 --1.0029376e-34 --1.3373374e-06 -1.6551019e-07 --1.36071e-34 -2.7304006e-11 --6.311544e-34 -4.48741e-10 --3.5838766e-34 --5.1161575e-12 --3.8101519e-34 --8.088775e-34 -1.1756762e-33 --6.3893444e-34 --2.967938e-10 -6.3452446e-34 -9.875096e-34 --8.4450086e-35 --1.2171421e-33 --3.3566048e-34 -2.8608447e-34 --9.412271e-34 --1.1508676e-33 --1.3509627e-05 -9.887942e-34 --7.571441e-11 -5.7796096e-34 -1.0305221e-33 --3.3212013e-34 -9.280559e-34 --1.6448281e-33 --3.9943206e-34 -1.003831e-33 -3.2610445e-34 -5.6538633e-34 --2.2717202e-08 --2.1094843e-34 --6.322073e-34 -1.0709501e-33 -1.0218102e-33 --7.5213423e-34 --1.1908448e-33 --8.619394e-34 -6.4284958e-34 --1.5069626e-34 --1.6877608e-35 --2.866365e-09 --4.413746e-34 --1.0476366e-08 -1.4815637e-34 --8.0798045e-34 --1.845618e-35 -1.3458272e-34 --3.6409174e-34 --6.5294303e-35 --6.191754e-05 --3.5334883e-34 --1.3277062e-33 -1.0534839e-33 --4.7630296e-34 --3.425049e-34 -9.469489e-34 -6.9863898e-12 -6.6045366e-34 -7.645448e-11 -4.403682e-35 --1.0330781e-12 -1.2000357e-33 --4.2477407e-35 --7.270484e-34 -9.584765e-34 -1.3028827e-33 --5.980893e-34 -1.0162704e-10 --1.443631e-34 -1.6470558e-34 --3.89502e-34 --1.2635136e-34 --5.182905e-11 --1.1369958e-33 -1.1747713e-33 --1.0572495e-33 -6.1311976e-34 -7.113245e-34 -1.0403162e-34 -2.0498532e-34 -4.921984e-34 --1.0658389e-33 --1.3973836e-34 --1.18047275e-33 -4.0482905e-34 -2.6773904e-35 -7.2725136e-34 -8.169656e-34 -7.138364e-34 -5.587781e-35 -1.1718263e-33 -2.2724877e-34 --4.486491e-34 -4.086757e-34 --4.704402e-34 --8.315565e-34 --1.07221845e-33 --1.140732e-33 -1.2930126e-34 --8.796192e-34 -5.482417e-34 -7.56393e-34 --4.0639007e-34 --6.684873e-34 --9.06171e-34 -2.5509977e-34 --0.118258804 -1.096102e-35 -0.10258268 --0.14601012 -5.1931945e-34 --6.340802e-34 --1.1513182e-33 -0.035288654 -8.930384e-34 --0.0070690047 -1.12632195e-33 --2.6615008e-34 --5.066494e-34 -8.912493e-34 --0.042885255 -1.1418841e-33 --0.088906415 --4.6601013e-34 -0.14449474 --0.110531494 -1.7699777e-34 -5.9580804e-34 -5.8467868e-34 -0.04132734 -6.8931613e-34 --0.007179377 -4.6807244e-34 -4.844927e-34 -8.396381e-34 --5.602366e-35 -0.12273785 -6.168332e-34 --6.0341854e-34 -9.201822e-34 --9.676405e-34 --5.735015e-34 -1.7237986e-34 --9.083993e-34 -3.327015e-34 -3.502492e-34 -5.961722e-34 --7.756556e-34 --1.262006e-34 -7.0274037e-35 --1.1879909e-33 -4.9998155e-34 --3.0399136e-34 -1.3761461e-08 --0.00026887713 -1.1920306e-33 --5.159285e-08 --1.6531859e-34 --9.312564e-34 -9.626526e-05 --3.897135e-34 -2.248009e-06 -1.2411751e-34 --3.2685502e-34 --1.6009806e-34 --2.5787164e-09 --8.242508e-34 -1.00415475e-33 -6.518665e-13 -4.4673836e-34 --1.04900675e-33 -1.0820221e-33 --1.1207751e-33 -1.0291923e-33 --2.3601502e-34 -7.810352e-34 -8.491033e-34 --2.9185027e-34 --3.313062e-35 -4.353606e-34 -3.8313792e-35 -2.2601028e-34 -2.6634773e-35 -9.862538e-34 --4.404489e-34 --1.1046302e-34 --0.045159407 --1.4310549e-34 --0.20033018 --0.06042292 -1.0856065e-33 -5.4182585e-34 -1.1858135e-33 -0.34300768 --4.5426465e-34 -0.0029165805 -9.472502e-34 -5.4704435e-34 --5.7926396e-34 --7.2529967e-34 -0.030829063 -3.88241e-34 -0.07224925 -1.4811008e-34 --0.05035389 --0.03014718 -1.044142e-34 -5.008716e-34 --8.113113e-34 -0.087837726 -2.3188747e-34 -0.034004483 --4.997006e-34 -9.205649e-34 --8.977056e-34 --6.280828e-34 -0.04833281 --3.5504889e-35 --1.2201455e-33 -7.485247e-34 --4.447784e-34 -4.033136e-34 --2.1489506e-34 --9.349853e-34 -2.8363852e-35 -2.0686937e-34 -4.745724e-34 --1.2782179e-33 --3.8934375e-34 --4.090065e-34 --4.82588e-34 --6.8473786e-35 -1.0610246e-10 -4.598177e-35 -8.983054e-17 --8.045098e-34 -8.659493e-19 -2.2878603e-16 -1.09491715e-33 --2.1959154e-10 --2.1756075e-34 -1.35031405e-05 -5.3126114e-34 -1.8709088e-17 -7.399395e-34 -2.123583e-34 -6.5513055e-34 -5.6043332e-34 --2.3549624e-29 --4.098675e-34 --4.299251e-08 -6.2866517e-34 --2.642036e-09 -6.9995913e-34 --1.3175253e-34 --1.6740071e-07 -4.24623e-34 -3.0734734e-11 --6.253746e-34 -2.4338904e-34 --5.139542e-34 -1.040431e-33 --8.509435e-34 --8.1231995e-34 --7.373397e-05 -2.028743e-34 --2.5059042e-34 -9.680582e-34 -1.4292028e-33 --7.587623e-34 --9.792808e-34 --1.7355131e-09 --1.7114316e-34 --3.616738e-05 -1.171775e-35 -1.7403194e-34 --1.9747531e-34 -4.576732e-34 -3.7852314e-34 --5.103679e-34 -8.595391e-34 -7.4008417e-34 -8.426502e-34 --5.570458e-34 --9.8461905e-34 --9.826523e-34 -1.0492627e-33 -1.1818038e-33 -1.0743755e-33 --1.2458212e-33 --3.0856922e-35 --2.4070342e-35 -1.1676355e-35 --2.515848e-34 -1.7773911e-34 --8.824278e-34 -1.6842483e-34 --7.7637695e-11 -1.0454039e-33 --1.0082494e-33 -1.0306294e-34 --1.1062901e-33 --2.1230016e-34 -5.211995e-34 -1.04964005e-33 -1.2073595e-07 --1.8386201e-34 -1.04476175e-33 --9.799057e-34 -9.408539e-34 --1.4052433e-09 --9.443859e-34 -1.1426187e-33 --3.8115101e-34 -8.001386e-09 --1.0319006e-33 --9.0875176e-08 -8.668536e-34 --6.7465386e-35 -1.9155746e-34 --4.6683642e-34 -4.5760926e-06 -2.3260797e-34 --1.3678343e-06 -7.9417145e-35 -6.232508e-35 --4.050129e-36 --1.5902698e-34 -9.10485e-11 -6.1047536e-34 --7.725297e-34 -5.353688e-35 --1.8149683e-34 -1.0287027e-34 --5.3890704e-34 --8.138799e-34 -1.08913225e-35 --1.5164961e-34 -6.9384436e-34 --5.6944904e-34 -5.988262e-35 --1.6831977e-35 --5.8188274e-34 -8.386425e-34 -1.032519e-33 -8.953583e-34 -8.620234e-34 --8.367944e-34 --2.6422762e-34 -7.843117e-34 -1.1183771e-33 -1.0390253e-33 --7.394768e-34 --9.467532e-07 --3.5460477e-34 -2.146877e-34 -5.4354537e-34 --1.1657225e-33 -1.0476737e-33 --1.086725e-33 --1.0636444e-33 -3.2928742e-34 --0.09646189 --9.0244056e-35 -0.17732896 --0.13858563 --1.2085908e-33 --8.6755515e-34 --1.1394673e-34 --0.24639328 --4.9471437e-34 --0.012639014 -8.962301e-34 --8.125328e-34 -2.8588404e-34 --9.2493e-34 --0.068543404 -9.42059e-34 --0.045697656 -3.806134e-34 -0.23690622 --0.18103027 --1.04969e-33 -8.661855e-34 --6.7672493e-34 --0.038646717 -6.6086655e-34 --0.0690993 -2.753964e-34 --2.5170167e-34 --8.602344e-34 -8.456126e-34 --0.055785026 --4.1123944e-34 --4.821584e-34 --1.0083413e-33 -1.7720008e-34 --3.2565068e-12 -7.577551e-34 -2.7281167e-34 --1.1114215e-33 -0.0008303137 --4.188632e-34 -1.2714136e-33 -1.0389041e-33 --6.0713415e-34 --1.0692824e-33 --1.1011674e-33 -4.4687557e-34 --4.87382e-34 --8.182499e-34 -1.1722401e-33 -1.1441968e-34 --4.7618395e-34 --2.9350367e-34 --2.286444e-12 --7.385291e-34 --2.009348e-08 -6.1709376e-34 -2.4087863e-34 -1.0942282e-34 --1.2471187e-34 --8.9605e-34 --1.0560522e-34 -1.2906017e-33 --4.0262775e-34 --1.7671793e-08 -7.443753e-34 -8.837014e-34 -5.456101e-34 -4.5299052e-34 -1.2054107e-33 --3.711246e-34 -1.7104921e-06 -8.8802895e-34 -9.689218e-34 --5.432925e-34 --4.7443595e-35 -3.4131002e-34 --1.1570836e-33 -9.489501e-34 --2.7123077e-34 --0.06643167 --9.773242e-34 -0.20312884 --0.1133161 -5.6750663e-34 --1.4318179e-34 --3.1952737e-34 -0.13168551 --1.1306612e-34 --0.17422915 -6.396524e-34 --4.5179065e-34 --7.605398e-34 -2.4074565e-34 --0.0076944944 --8.847543e-34 -0.01573055 --7.3966044e-34 -0.02556787 --0.013815395 -2.570347e-34 --8.0622125e-34 --6.663423e-34 -0.10174021 --1.8496143e-34 -0.17657803 -1.2208168e-34 -1.1518862e-33 -7.607873e-34 -4.880145e-34 --0.01761336 --7.119896e-34 -1.3468447e-08 --6.07338e-34 --8.576113e-35 --6.4796853e-12 -1.0881599e-33 -1.9394025e-05 --8.058515e-34 -1.1972557e-33 -4.302871e-34 -0.00018183424 -9.108487e-34 --8.595173e-34 --1.2631275e-34 --9.842735e-34 --6.766328e-11 --7.4706606e-34 --1.1874344e-24 -7.058815e-34 -9.312097e-20 --3.0814698e-24 --5.6542637e-34 --5.402483e-09 -9.271934e-34 --5.7220056e-32 --7.751276e-34 -7.947502e-21 --1.05695e-33 -1.0315213e-33 -4.7981586e-34 -1.1084106e-33 -2.531874e-25 --6.9877927e-34 --5.9303006e-06 --1.223601e-34 -7.442737e-09 --5.9457423e-34 -8.012706e-34 --3.6386877e-13 -4.729848e-34 -8.9777885e-10 -3.6690416e-35 --8.815414e-34 --3.662508e-34 --9.54799e-34 -8.572642e-34 --8.359668e-34 --5.7886944e-35 --7.143222e-34 -8.329377e-34 --8.034702e-34 -3.0328342e-34 -4.773969e-34 -1.3137347e-10 --1.7324824e-06 --3.039919e-34 --1.0535104e-33 --1.7138983e-34 -3.7562155e-34 -3.8273017e-34 -6.6521845e-34 -9.997927e-34 --4.546242e-34 --4.3979257e-05 --3.1060827e-34 -2.8009562e-34 --6.9693233e-34 -4.463257e-34 -8.99054e-34 --1.1558959e-33 --9.710484e-34 -6.140913e-34 -1.4467413e-34 --1.7139187e-34 -1.1892282e-33 --9.89189e-35 --9.941799e-34 -2.520972e-34 -5.7949755e-34 --3.6189203e-34 --8.281358e-36 --9.961029e-34 --1.5168579e-34 --1.0260302e-33 --2.3293302e-34 --1.07943295e-33 --1.0614595e-33 -1.8542542e-34 -9.093389e-34 --6.2849826e-34 -7.841605e-34 -1.1290917e-33 -5.915679e-13 -2.0441755e-34 -4.269704e-34 -1.3628094e-33 --1.3825794e-34 --0.0014670962 -6.8123475e-34 --4.8914735e-08 --4.9133607e-34 -7.852868e-34 --8.62271e-34 -3.52303e-35 --3.881644e-34 -7.627856e-34 -2.662167e-11 --8.467121e-34 -9.4314935e-34 --1.0805792e-33 --3.4825565e-34 --1.33581415e-33 --3.549552e-35 -8.600881e-34 -1.0924167e-33 --1.1291417e-33 --1.1008104e-33 -6.6197615e-34 -3.1661513e-34 --1.6899311e-34 --6.8137365e-34 -3.281914e-34 --8.931643e-34 --4.7222694e-34 --3.232951e-34 --8.1946595e-34 -1.0665989e-33 -3.0398817e-34 -6.003459e-34 -9.970879e-34 --5.2981753e-34 --1.210242e-33 --3.648896e-34 -1.073959e-33 --9.646632e-08 -5.849833e-34 -1.7915409e-07 --1.0422737e-33 --7.2039877e-34 -1.1119719e-33 --5.8315467e-34 --8.906732e-34 -6.8416223e-34 -1.0492143e-33 -3.2064207e-34 --0.09992306 -6.0906072e-34 -0.07488788 --0.00867748 --1.7777685e-34 --2.00293e-34 -1.6503639e-34 --0.10288768 --1.6887792e-34 --0.07722227 --5.3312857e-34 -3.9172844e-34 --1.0016034e-33 -4.6566837e-34 -0.013911607 --8.842386e-35 --0.04750211 --9.498783e-34 --0.09918296 --0.13182391 -1.0475519e-33 -7.164194e-34 --1.0976789e-34 -0.07053979 -6.325924e-34 --0.1710723 --5.718218e-34 --4.096332e-34 -1.5198138e-34 --5.5642085e-34 -0.031380545 -3.3187112e-34 --6.930083e-34 --3.1343547e-35 --1.4912505e-34 --9.617676e-34 -5.7284664e-34 --1.2815768e-33 -4.1733957e-34 --6.294363e-07 --8.636559e-34 -1.3423347e-33 -4.475643e-34 -4.835642e-34 --1.0205551e-33 -1.0085792e-34 --5.57332e-34 --1.0921283e-33 --1.500019e-34 --9.694787e-34 --2.7684105e-12 -5.2001813e-34 -1.09189025e-33 -5.0925152e-08 --1.0311113e-33 -4.4985843e-10 -3.595356e-34 --8.014917e-34 -1.1988573e-34 --1.5614654e-12 -5.831701e-34 -1.1605137e-33 --3.3234784e-08 -1.0615751e-33 --1.2979826e-05 -6.782164e-34 --6.439348e-11 -6.266472e-34 --1.1253107e-33 -1.2034873e-33 -2.334877e-34 -1.6013172e-35 -8.131702e-34 -6.096158e-05 -9.996732e-34 --4.9193382e-34 --5.59144e-34 --6.217061e-34 -9.389332e-34 --4.053282e-34 -0.15364605 -8.117273e-34 -0.026683288 --0.036181826 -4.187269e-34 -1.2701707e-33 --1.0898079e-34 -0.0009941678 --1.0602986e-33 -0.033010185 -2.6762854e-34 -1.1709886e-33 -5.869235e-34 --4.505274e-34 -0.113732554 -8.941543e-34 -0.034954548 --7.2392213e-34 -0.1850721 -0.05532597 -1.244202e-34 -1.961037e-34 -1.1382829e-33 -0.0040149423 -5.5469535e-34 -0.12284373 -4.938589e-34 --3.4730734e-34 --7.2346332e-34 --1.0970632e-33 --0.053117093 -1.1394613e-33 -2.6308649e-06 -9.396388e-34 -7.368557e-34 --6.580301e-10 -4.571231e-34 -7.5904594e-05 -9.710382e-34 --7.181187e-34 -6.868239e-34 -1.2344454e-34 --1.3646881e-34 -1.2128462e-33 -9.196664e-35 --5.039261e-34 -8.227868e-34 --1.5223381e-34 -6.1740954e-34 --2.9841798e-34 -3.369385e-21 -6.7100446e-34 --9.517831e-34 --6.9802177e-34 -6.571022e-34 --8.929496e-34 --1.3845602e-35 -8.545019e-34 -8.357281e-34 --3.4189868e-34 --2.6307233e-34 -6.216251e-34 -1.0894208e-33 -6.139229e-34 -1.0612686e-33 --2.862725e-34 --1.5813043e-08 -1.0986416e-33 -6.5528883e-34 -3.257028e-11 --1.0578021e-33 -6.313729e-08 --8.350144e-34 -1.1534039e-33 --2.7239327e-34 --6.2258864e-34 --8.956747e-34 -1.0806377e-33 --6.3259522e-34 --7.323161e-34 -6.456388e-34 --8.9552925e-35 -6.755983e-06 -1.0522107e-34 --8.381231e-34 --1.00086e-33 -6.4631623e-34 --8.482779e-34 --4.971937e-34 -5.9851764e-34 -5.4220687e-34 --8.256137e-34 --6.6991184e-34 --5.8588383e-34 --3.7653003e-34 --6.1355883e-34 --7.132511e-34 -5.1773987e-34 --6.6506173e-34 -7.7302e-34 -3.6890888e-34 -6.8239743e-34 --7.3986886e-34 -5.794523e-34 -3.4015707e-34 -1.7271635e-34 --1.1903634e-34 --6.9179105e-34 --2.392964e-34 --9.691244e-34 -6.2590377e-34 -3.0161569e-34 --3.7250828e-34 --7.164124e-34 -1.2535692e-34 --2.3557164e-34 -3.1855897e-34 --3.6819128e-34 -2.0063317e-07 --1.1014002e-33 --7.859443e-34 -1.0683627e-33 --1.0231268e-33 --1.6585931e-34 -1.1568027e-33 -9.9426545e-34 --1.2114072e-33 -8.702146e-34 --1.5209104e-33 --1.0991303e-33 --3.3282459e-12 --7.5065747e-34 --5.406587e-34 --1.0465507e-33 -2.33121e-34 -2.4409175e-34 -5.762052e-34 --9.2346395e-34 -1.6776692e-34 -5.2568365e-34 --4.3461387e-34 -9.988439e-34 --5.8973514e-05 --5.443053e-34 --7.809584e-34 --5.131252e-12 -1.2321642e-34 -6.3248447e-34 -1.5373629e-34 -1.1282066e-33 --7.337873e-34 --9.771069e-34 --1.1154628e-33 --5.841399e-34 --7.967251e-34 -1.1040375e-33 --1.5783106e-34 -1.0929673e-33 -5.4396185e-34 --6.6076907e-34 -9.288187e-34 --9.453318e-34 -3.885937e-08 --9.2186675e-34 --7.062855e-34 -4.723489e-34 -9.865211e-34 -3.218351e-11 -3.489585e-34 --4.767648e-12 -4.6706946e-34 -1.1441469e-33 -9.586472e-34 -3.8552156e-34 -7.495908e-34 -3.6252742e-34 --0.31016612 --6.4449237e-34 --0.120032795 -0.11365258 --6.581393e-34 --7.937134e-34 --4.277802e-34 --0.034733452 --6.548179e-34 --0.21022815 --5.422641e-34 -1.16686255e-33 --8.28783e-35 --4.8473135e-34 --0.0519418 --1.1061084e-33 -0.15774193 --1.765857e-34 -0.10103008 --0.020460878 -8.112329e-34 --5.4661346e-34 -8.325077e-34 -0.089055486 -4.7448407e-34 --0.132183 --2.5502417e-34 --2.8151345e-34 -7.3345865e-35 --6.3578283e-34 --0.039182056 -3.9686774e-34 -7.1097113e-34 -1.0152021e-33 --1.370068e-34 -1.0600906e-33 --5.233882e-34 --5.059592e-34 --4.832968e-34 --6.8096535e-34 -6.826375e-34 -1.8508683e-10 --3.6453848e-34 -8.947247e-34 --3.3842588e-34 -2.4923573e-34 -2.409742e-07 --8.29013e-34 -1.8637164e-12 --7.588909e-34 -7.772222e-34 -9.524516e-34 -5.2505e-34 --1.6704842e-09 -7.3762417e-34 -1.0800765e-33 -2.5095436e-34 -3.0079725e-34 -5.418882e-34 -7.1200975e-06 -7.735723e-34 -5.9209467e-34 -7.5386247e-06 -7.9379995e-34 -5.8961915e-34 --4.7322524e-34 -5.1416714e-12 --1.4264624e-34 --5.3090174e-34 -2.5826132e-09 --1.3433237e-34 --1.7435895e-12 -1.0319603e-33 -1.0573968e-33 --8.442981e-34 -6.137673e-34 --4.1510526e-34 -1.10690205e-33 --4.5765852e-35 -5.169554e-34 -0.11063815 --4.57731e-34 --0.013479137 --0.038555283 --8.484667e-34 --9.23665e-34 -4.9069783e-35 -0.14473617 --5.595619e-34 -7.9298974e-05 -8.943041e-34 --2.912154e-34 -2.534708e-34 -1.1936154e-34 --0.017139718 --1.14253086e-35 -0.056437034 --3.1478178e-34 -0.09977059 --0.022081155 --0.00057879195 --3.453625e-34 --3.7805037e-34 --0.00811973 -1.1153075e-33 -0.013448938 -8.800172e-34 -9.771076e-34 --6.6654497e-34 -8.7116805e-34 --0.033715215 -1.6043557e-34 -4.4524597e-07 -1.03402765e-33 -5.5246256e-09 -5.524882e-34 -5.657525e-34 -0.0001719683 -1.13953185e-33 --1.1367941e-33 -1.0627191e-33 -1.7882331e-07 -1.110017e-33 -3.7251444e-34 -9.946585e-34 --6.3599865e-34 -8.310603e-34 -4.2296105e-34 -1.5851055e-33 --2.147339e-34 -1.3083524e-33 -1.2867336e-33 --1.428345e-34 --6.6078367e-12 --7.2064324e-34 -6.955464e-08 --8.107665e-34 --5.932426e-34 --8.242635e-35 -5.2810213e-34 -2.64041e-34 -1.8815872e-34 --1.07302945e-33 --5.7114157e-34 --8.899286e-34 -6.5300727e-34 --1.24234765e-33 --8.243777e-34 --1.984178e-34 -1.1337099e-33 -3.0223865e-34 -1.1452812e-33 --1.7721496e-36 --9.538013e-34 --7.949061e-34 --4.759536e-34 --4.946552e-34 -4.8309177e-34 --9.206596e-34 -4.0896945e-34 --1.282698e-33 -8.236421e-34 --8.329891e-34 --1.0586497e-33 -2.0589518e-37 --1.1011149e-33 --2.9053968e-34 -2.8347666e-35 --1.4892075e-34 --1.2196724e-33 -5.4814945e-34 --4.6160754e-34 -1.1408158e-33 -7.987293e-34 --4.8426694e-34 --3.614608e-34 -3.4645868e-34 --9.995339e-35 --1.3351678e-34 --3.4044204e-34 -1.1468196e-33 --1.0361583e-33 -3.6036655e-34 -2.412654e-34 --4.4309286e-34 -9.00789e-34 -4.1485776e-34 --9.028898e-34 --5.9373026e-35 -1.327495e-34 -8.8430805e-34 -5.850553e-34 --6.4000378e-34 -8.229313e-34 -7.270315e-34 -1.10960495e-33 -1.0894482e-34 --1.0157799e-33 -4.658719e-34 --8.248943e-34 -5.104511e-06 --4.2325437e-34 --6.0251763e-34 -9.55217e-34 --3.3537074e-34 -1.103629e-33 -1.0910689e-33 -8.144316e-34 --5.0540988e-11 --8.686414e-34 --3.1019543e-05 -1.0824312e-33 -6.355955e-34 --1.0126061e-33 -1.9118314e-36 --1.93969e-07 -4.282517e-34 -1.1322009e-33 -5.6912064e-36 -9.3791753e-35 --2.2390229e-34 -3.1618006e-34 -8.217558e-34 -3.2625699e-34 --8.8999965e-34 -1.022578e-33 --3.8063306e-34 -6.426332e-34 -1.0717147e-33 --5.2202125e-34 --4.8519448e-34 -1.0959766e-33 -8.141382e-34 --8.475748e-34 --1.685343e-34 --1.01914185e-33 --8.941576e-34 -9.736374e-34 --1.1517984e-33 -1.8077266e-34 --6.006336e-34 --1.5320071e-34 -6.1295584e-34 -1.5909655e-34 --6.970474e-34 --9.924963e-34 --7.3472695e-34 --1.0205686e-33 -7.894794e-34 -1.1307492e-33 -1.182421e-33 -6.834642e-34 --5.536618e-34 --7.898112e-34 -7.6056395e-34 --2.1418637e-34 --0.40698773 -1.027421e-33 --0.18354842 -0.1326111 -1.2745883e-34 -4.34396e-34 -1.0695215e-33 -0.19409296 --1.1885871e-34 --0.21292965 -6.959233e-34 -4.3858994e-34 -4.90812e-34 -5.846476e-34 -0.13014148 -9.478023e-34 --0.012692709 -7.852599e-34 -0.05549761 --0.13028224 --1.6838314e-35 --4.84786e-34 --2.3313972e-34 -0.23833123 --9.976841e-34 --0.08612847 --2.9615334e-34 -7.5755964e-34 --1.1281394e-33 -2.0416502e-34 -0.041112095 -1.1790541e-33 --3.817777e-34 --3.9068684e-34 -8.564643e-34 --4.220539e-34 -9.318354e-34 --1.1532922e-33 -1.1496679e-33 --5.2025617e-34 -1.0083192e-34 -1.4020283e-33 --6.9810116e-34 --3.7969941e-34 -9.646421e-34 --1.9110648e-34 -1.192398e-33 --3.3312683e-34 -1.1034576e-33 --1.2114101e-33 --3.101521e-34 -1.3963909e-34 -7.894446e-34 -5.320891e-34 --1.3913004e-34 -1.0535084e-33 --6.468369e-35 --3.9205675e-34 --5.196761e-34 --8.965697e-34 --9.632798e-34 -1.6910248e-34 -3.912138e-34 --6.359285e-34 --4.651255e-34 -7.213388e-34 --9.2681376e-11 -5.8395033e-34 -3.1904974e-34 -5.0186873e-12 --3.1740735e-35 --4.8664756e-10 --4.4581615e-34 -1.9811626e-09 --1.01085535e-33 -3.8101262e-35 --6.6430207e-34 -3.3309717e-34 --1.5169346e-34 --1.6986687e-34 -0.12759845 -9.8016484e-36 --0.22035797 -0.15217203 -3.288255e-34 --3.6938133e-34 -1.1149534e-33 -0.3363495 -2.0385637e-34 --0.02275271 -2.4042386e-34 --9.220524e-34 --5.746349e-34 -2.9306208e-34 --0.07823618 -3.8931275e-34 --0.023200793 --4.593e-34 -0.058600824 -0.01325612 --7.801249e-34 --7.267839e-34 --3.9260703e-34 --0.0012313277 -2.8691645e-34 -0.034190528 --9.072044e-34 --5.8704684e-34 -8.555318e-34 --2.8326337e-34 --0.003659847 -7.81297e-34 -8.753701e-34 --8.437603e-34 -5.764078e-11 --2.6982738e-34 --3.6647432e-34 -3.3222703e-34 --7.313539e-34 --7.153647e-34 --6.660083e-34 -1.2732573e-33 --7.5385463e-38 --1.6587621e-34 --9.52853e-34 --1.1540528e-34 -7.986132e-34 -1.0050945e-33 -4.4216467e-05 --9.528353e-34 --0.000102401835 -0.00010395179 --4.334889e-34 -8.816593e-12 --9.39405e-34 --8.6805854e-11 --7.200618e-34 -2.6794005e-12 --1.0662961e-33 -9.6785815e-34 -2.4467364e-35 --5.6579473e-34 --7.862284e-33 -6.548689e-34 --2.699578e-06 -9.239471e-34 --1.8979013e-10 -8.40125e-34 -2.4702334e-34 -4.1949244e-09 -8.849184e-34 --2.4398946e-35 -5.7530613e-34 -1.4071678e-34 --6.78321e-34 -8.409827e-34 --1.1064439e-33 --2.953206e-34 --1.0299316e-33 --6.4870124e-34 -7.552845e-34 -5.680525e-34 -9.034379e-34 --1.2227228e-33 -3.6294564e-34 -8.479076e-34 --6.0135325e-34 --1.4025205e-33 -6.5594045e-34 -1.7921293e-34 --4.276794e-34 --1.0122302e-33 --7.9330624e-35 -9.3013286e-35 -7.681038e-35 --2.4953582e-34 -6.194881e-34 --1.0731015e-33 --1.01426235e-33 -1.1447316e-33 -6.996072e-34 --3.975984e-34 --1.4407313e-35 -2.5265313e-34 --2.6963062e-35 --1.01588435e-33 --2.6909628e-34 -3.41244e-34 --9.454529e-34 -9.524923e-34 -1.9899292e-34 --5.752043e-34 -3.6816777e-34 --6.2861618e-34 -9.5936355e-34 --1.5946169e-34 --6.1569823e-34 --2.7380496e-34 -9.950927e-35 -9.453869e-34 -9.648039e-06 -8.361908e-34 --4.890424e-34 -9.2583136e-10 -5.6056387e-34 --9.490927e-34 --2.0038678e-05 --1.6844099e-34 -4.120193e-08 --2.8936667e-34 --8.854588e-06 -1.3359199e-34 --1.0305561e-33 --9.361695e-10 -1.0442374e-33 --1.6020105e-11 -7.3045494e-34 -9.806003e-34 -7.4738424e-35 -1.986512e-35 -1.8955104e-34 -3.0646428e-34 -1.5787922e-05 -4.412591e-34 -5.5141026e-34 -3.8500544e-34 --1.2878881e-34 -1.9205153e-34 -1.3453404e-34 --6.105681e-34 --3.7827555e-34 --3.4169435e-34 -9.380004e-35 --6.0890653e-34 -6.865934e-35 -1.2833074e-34 --6.3008077e-34 -5.3072505e-34 -6.4061852e-34 -4.984601e-35 --1.0605411e-33 --3.5434818e-35 -1.2617862e-11 --5.081001e-34 --2.7551512e-34 --5.926903e-07 -6.0415864e-34 --4.789945e-34 --4.588474e-34 -5.876972e-34 -1.9115237e-34 --9.114268e-34 -7.899853e-34 --5.3445054e-34 --5.242559e-34 -2.5807244e-34 --0.2440282 --2.900417e-34 --0.14349021 --0.0411902 --1.0269478e-33 -1.941107e-34 -4.881182e-34 -0.033064187 --5.4412637e-34 --0.27356598 --4.2194287e-34 --6.295627e-34 --8.965841e-34 -6.2865346e-34 -0.22460197 --4.5467157e-35 --0.004501521 -8.903148e-34 -0.21858814 --0.0073987115 --5.8125404e-34 -1.348268e-33 -8.447582e-35 -0.11003422 --8.723798e-37 --0.081765875 --3.2883332e-34 -5.915159e-34 --7.817995e-35 -6.3788954e-34 -0.052061412 -9.72546e-34 --4.317817e-34 --3.6767167e-34 --1.1928153e-33 --1.0263316e-33 --6.4248297e-34 -9.27897e-34 -3.2086443e-34 -5.6558066e-34 -1.5997025e-34 --3.4399667e-34 --7.493834e-34 -7.843525e-34 -9.8681125e-34 --1.8947012e-34 --3.2084498e-34 --1.4339121e-34 -2.6763043e-13 -3.0719782e-34 --8.595441e-11 --1.3656181e-06 --5.5046637e-34 --1.0066861e-33 --2.6997413e-34 -4.902919e-09 -7.775258e-34 -7.361232e-34 --8.182705e-34 -3.7988543e-34 --9.802183e-34 --9.609435e-34 --8.929189e-34 -3.5007278e-35 -6.3119987e-12 -4.1028986e-34 -2.4448586e-11 -1.2142857e-34 --1.5910867e-35 --1.1602806e-07 -5.87378e-34 --1.1135786e-09 -1.6225036e-34 -1.184434e-33 --9.844765e-36 -2.438677e-34 --8.173697e-34 --3.8736437e-34 --8.97872e-34 -5.753641e-35 --0.00072036183 --5.479436e-34 --0.022836173 --0.07068383 --8.732972e-34 -4.781715e-34 -6.5827463e-34 -0.2576361 -5.3890355e-34 --0.026878165 -1.2212287e-34 -3.5746152e-35 -1.0191068e-34 --1.7387198e-34 --0.01953765 -1.1523795e-33 -0.019517517 -7.4098985e-34 --0.111354 -0.09071628 --8.28887e-34 --6.2781868e-34 --1.077478e-33 --0.0945872 --5.3131752e-34 -0.17851643 --2.5509717e-34 --7.2847405e-34 --8.524336e-34 --4.4525422e-35 -0.02024768 -8.948649e-34 -2.2504086e-08 --2.13618e-34 --5.7850485e-34 --5.205784e-34 -1.17973715e-33 -4.4031214e-05 -4.1551416e-34 -7.3041692e-34 --9.40387e-34 --8.671357e-34 --8.862475e-34 --5.5331346e-34 --6.01588e-34 --4.919527e-34 --9.892676e-34 -6.8025335e-34 --1.2736864e-05 -9.748889e-35 --6.5998034e-07 --2.0796044e-06 -1.0736231e-33 -3.534976e-34 --5.8554285e-34 -1.300794e-24 -1.2373543e-34 -6.6067383e-07 --9.429966e-34 -6.050611e-34 -2.589243e-34 --1.0689416e-33 --3.4848762e-17 -4.9036794e-34 -5.1085056e-35 --6.9231272e-34 --1.584486e-09 --5.9418553e-34 --2.4050458e-34 -1.1179245e-34 -6.4528827e-34 --9.650691e-34 -9.522697e-35 --1.1377481e-33 -7.21645e-34 --2.7306688e-34 --6.2015386e-34 -5.1870305e-34 --7.972159e-34 --6.8075275e-34 -7.989394e-34 -1.0059281e-33 --6.6876665e-34 --1.1597486e-33 -8.287285e-34 -4.293317e-34 --6.194486e-34 --4.1661835e-08 --3.4269015e-34 --4.053776e-06 --6.732871e-35 --9.019645e-34 --2.96281e-34 --7.25599e-35 -8.246093e-34 -1.9750068e-34 -1.7125401e-34 --6.567845e-34 -8.762267e-34 --7.5185418e-34 --8.098256e-34 --7.591166e-34 -2.4960217e-34 -9.233732e-34 --1.2228289e-34 -9.7717e-34 --2.2982154e-35 --5.6927378e-34 --1.08727635e-33 -4.047606e-34 --2.6519782e-34 -5.97182e-34 --7.54278e-34 --4.874966e-34 -3.7147056e-34 --9.358493e-34 --3.2157466e-34 -2.334945e-34 --3.990289e-34 --1.5931622e-34 -1.1019815e-33 -1.1898629e-33 -8.757073e-34 --1.133095e-33 --4.6165465e-34 --1.1274049e-33 -8.24066e-09 -2.3958653e-34 --2.3495392e-09 -6.2477314e-34 -1.2120796e-07 --8.174902e-34 -9.133833e-34 -6.200909e-34 -4.2082927e-36 -6.7468093e-12 --2.7578893e-34 -7.2389587e-34 --2.8701715e-34 --8.547591e-34 --1.04077315e-33 -6.211986e-34 -1.2437795e-08 -7.0375396e-34 --4.2758754e-34 -7.325027e-34 -4.704176e-34 --5.0668766e-34 --4.4381267e-34 --8.068703e-34 --8.078721e-34 --1.8837058e-34 --6.2008135e-34 --1.0890222e-33 -3.1104315e-34 --1.0064847e-33 --1.0980978e-33 --6.3593895e-34 --6.253079e-34 -5.5971085e-34 -8.023315e-34 -8.538569e-34 --1.1952074e-33 -2.093134e-34 -1.1449976e-33 -1.157189e-33 -1.13162435e-33 -7.7033084e-35 -1.0601975e-33 -3.2108628e-35 --7.0876294e-34 -7.59985e-34 --3.799363e-34 --7.5133205e-34 --1.1955585e-33 -5.833334e-34 --0.09462874 --2.610431e-35 -0.2337927 --0.082775414 -1.9592323e-35 --9.666174e-34 --4.4788585e-34 --0.1132699 --1.4577705e-34 --0.031205475 --4.9455793e-34 -7.291615e-34 -2.701651e-34 -5.1026226e-34 --0.14446823 --8.593043e-35 --0.002403455 -9.682187e-34 -0.20131718 -0.046255447 -1.1599187e-33 --7.5226082e-34 -1.0189156e-33 --0.09642578 --3.4807887e-34 --0.08447148 -8.965197e-34 --4.0504298e-35 -8.149655e-34 --1.00445965e-33 --0.05550662 --8.944637e-34 --1.5482818e-34 -9.75421e-34 -1.1029223e-34 -8.482918e-35 -1.9148495e-34 -4.6463654e-07 -1.0982704e-33 -1.1265786e-33 -2.4236101e-34 --8.3905905e-34 -4.9805806e-34 -1.7952972e-34 --6.9651714e-34 -3.2812168e-35 --3.5892228e-08 -1.12361685e-33 --6.442332e-08 -1.1039251e-33 -1.7350016e-11 -1.1986281e-33 -7.5156113e-34 -1.1039834e-33 -1.1878855e-33 -5.3693776e-34 --6.3587155e-34 -3.1257276e-34 -2.400847e-34 -2.1587109e-08 -1.5847109e-08 -5.1741037e-34 --9.261893e-34 --9.257679e-35 -4.958e-34 -5.6735992e-34 --1.9241961e-34 --4.2242964e-34 --3.921644e-34 -7.133849e-10 --6.522673e-34 -2.073019e-07 -4.2791025e-34 --1.0370593e-33 --1.5796738e-34 -1.9508394e-34 -5.8798356e-34 --4.2462543e-34 -1.0845375e-33 --5.3329414e-34 --0.022635603 -4.7231795e-34 -0.19388168 --0.021861538 -3.5768346e-34 -7.987461e-34 -5.704114e-35 -0.3433935 --1.7850096e-34 --0.014506817 -1.0472452e-33 -1.1151159e-33 --4.7528166e-34 -1.4627165e-34 --0.15526634 --3.4774803e-34 -0.064997844 -8.6953025e-34 --0.09412389 -0.033398785 -5.027988e-34 -6.0700747e-34 -2.5212499e-34 --0.15674828 --5.775535e-34 -0.002497323 --8.745901e-34 --8.792404e-35 --4.8177526e-34 --5.5104443e-34 --0.041218504 -2.582082e-34 -1.2125841e-33 --5.7651386e-34 -1.1810544e-33 -8.433761e-34 --8.242155e-34 -2.6325576e-08 -1.1165251e-33 --9.757861e-10 -3.0370242e-34 -3.3835723e-34 --7.809573e-34 --1.0553908e-33 -3.03693e-34 --1.1590685e-33 -1.1828412e-33 -4.2835276e-34 -4.8074635e-06 -7.823895e-34 --1.0892506e-06 -1.0309516e-06 -9.29096e-34 -9.739147e-34 --1.080578e-33 --1.3941225e-06 --2.9244572e-35 --6.8541294e-06 --7.3628714e-34 --2.9930042e-34 --2.5162724e-34 --3.813337e-35 -1.00372496e-13 -3.0133788e-34 -7.639898e-34 --4.8705966e-34 --0.0010506054 --1.0711972e-33 --8.803409e-34 -1.0823394e-33 -5.732068e-34 -1.663971e-34 -3.245236e-34 -1.0614773e-33 --3.53663e-34 -2.6141908e-34 -9.770584e-34 --2.9201984e-34 -1.3870099e-34 -5.0814086e-34 -3.7421991e-34 --2.7146355e-34 -1.2167042e-33 --9.710877e-06 --9.38154e-34 --7.893327e-34 --1.0922661e-33 -1.6819693e-33 --4.093019e-34 -8.896694e-34 -4.0930828e-35 --5.3526686e-35 --3.137218e-34 --9.15718e-34 -9.975568e-34 -7.733651e-34 -6.3981988e-34 -6.2075115e-34 --1.1221697e-33 -7.213605e-35 -5.0205823e-34 -3.0222005e-11 -9.210259e-34 --2.483702e-34 --7.28075e-34 --1.1322619e-33 -3.401092e-34 -1.0211982e-33 -6.9296714e-34 -1.0816889e-33 -8.657075e-34 --7.471754e-09 -2.2071892e-05 --1.0139432e-33 --3.537496e-34 -1.1676656e-33 --9.3383145e-34 -2.3967207e-11 --1.1413984e-33 --2.7315256e-34 --8.158181e-34 --8.122586e-34 -5.2474803e-37 --2.1094485e-34 -1.5425131e-34 -1.0648715e-33 --4.245445e-34 -5.625765e-34 -1.3422441e-09 --9.25175e-34 --2.8852362e-34 --1.01737135e-33 --5.6879834e-34 --5.7237235e-34 -4.10535e-34 -2.6473602e-34 -3.6911753e-34 --1.0065288e-33 -8.598884e-34 -1.2360162e-35 -5.298427e-34 -8.451023e-34 -1.7635918e-12 --3.3825713e-34 -1.1062063e-34 -2.1403805e-34 --1.32410645e-11 -4.744251e-34 -3.479467e-34 -6.6527984e-34 --5.9164504e-34 --6.793069e-09 -8.956788e-34 --6.2268066e-34 --2.3659469e-34 -1.1364268e-33 -1.1729231e-33 --7.203929e-34 -7.4574243e-34 --3.5515734e-34 --1.0936917e-33 -1.4324069e-34 -6.3742357e-34 -1.2593835e-33 -5.5123926e-34 -1.6133802e-07 -2.5472219e-34 --1.0022206e-05 --5.701276e-34 --1.1617058e-33 -9.594058e-34 -8.146677e-34 --1.0672218e-33 -5.086477e-34 -6.3707533e-34 --5.9915994e-34 -0.0024515693 -3.9637348e-35 -0.19056831 --0.19045609 -2.594518e-35 -6.8568583e-34 --7.407867e-34 -0.15697846 -5.0334673e-34 --0.027172435 --1.1366223e-33 -9.092761e-34 -2.1188125e-34 -8.5612103e-35 --0.11047961 -5.355581e-34 -0.018902445 -3.683199e-34 -0.08042711 --0.0460635 -9.072368e-35 --1.1740944e-33 -3.589022e-34 --0.068720326 --4.102077e-34 -0.0030035703 -2.7508662e-34 --1.9593682e-34 -1.0504008e-33 -1.0429939e-34 --0.10346288 --3.2230664e-34 --6.295474e-34 -4.183399e-34 --3.5199519e-06 --9.605337e-34 --7.9510135e-34 --2.5620182e-07 -8.683491e-34 -1.2074061e-33 --7.6487305e-34 --8.079217e-34 --6.404904e-34 -8.220612e-34 -1.2118705e-33 -1.0013357e-33 --4.5859084e-34 --5.3566763e-34 -9.068865e-06 -3.7965668e-07 -1.110837e-10 -9.772649e-34 --1.0507094e-33 -8.762811e-34 --3.647265e-34 --9.7776445e-34 -6.338914e-34 --1.5448567e-34 -7.079694e-34 --1.1163611e-33 --2.7947507e-34 --5.6949487e-34 --5.7239104e-06 -5.114192e-34 --2.5886443e-34 --1.692171e-34 -1.1235081e-33 -6.8325756e-34 -2.2661052e-34 --5.802691e-13 --8.2640375e-34 --6.153816e-34 -6.753032e-34 --1.4729981e-08 -1.0008245e-33 -2.3041351e-34 --6.0940685e-34 --9.841405e-34 --1.4119266e-09 --9.509618e-34 --0.050804514 -7.379212e-34 --0.017295763 --0.09880159 -8.831428e-34 --1.9641422e-34 -1.6456176e-34 -0.023952343 -7.084478e-34 --0.059090395 --3.9931e-34 -2.5520933e-34 --1.546855e-34 -3.484426e-34 -0.04543924 -8.4884066e-36 -0.010001091 --3.422158e-35 -0.038476285 --0.065695345 -9.4067025e-34 --7.805242e-34 --1.0984232e-34 -0.044700317 --8.164177e-34 --0.061735954 -8.126369e-34 --4.4885205e-34 --1.5240486e-34 -2.5450114e-34 -0.061129592 -1.0690988e-33 --1.0164513e-08 --3.4968826e-34 --5.3991815e-34 --2.051649e-34 --4.2547936e-34 --6.3464273e-12 -5.4768394e-34 --1.0916669e-33 --8.363119e-35 --2.1917856e-08 --6.2849367e-35 -1.8991333e-34 --1.1382214e-33 --1.2361505e-35 -0.00023079157 -5.8470118e-34 --2.0804127e-05 --7.638371e-34 -2.59129e-05 --2.3669768e-06 -5.5095e-34 --2.4926652e-34 --5.3470983e-34 --1.77038e-15 -5.779142e-34 -4.7918916e-06 -3.5883393e-34 -6.852108e-34 -8.196004e-34 --6.311053e-34 -1.2765333e-27 -4.2528086e-34 --4.236364e-34 --3.9596706e-34 -1.1138691e-33 -5.1983556e-34 -5.1300686e-34 -8.856589e-11 -6.7126775e-34 --9.809974e-07 -1.7572447e-34 -5.181432e-34 -1.0754924e-33 --9.0871885e-34 -1.4614784e-34 --5.81681e-34 --9.50566e-06 -1.1764716e-33 --0.00023734142 -9.2465965e-34 --1.002344e-34 -9.32443e-10 --9.307267e-34 --4.3402526e-10 -4.97655e-34 -3.545451e-12 --5.959471e-34 -1.2630569e-33 --2.9297275e-34 --5.6972345e-34 --7.0297795e-34 --9.313254e-34 --2.8704072e-10 -3.5527124e-34 -9.176717e-34 -1.0126399e-33 --1.3305803e-33 -4.462441e-34 -5.156845e-34 --1.1916171e-07 --5.3261695e-34 -6.7165102e-34 --3.8290027e-35 -6.9882726e-35 --6.5969214e-35 --6.0519624e-34 --1.0460681e-33 -6.597823e-34 -6.4373303e-34 --7.0362447e-34 --6.4719486e-34 --1.1318606e-11 -4.122822e-34 -2.7893106e-05 --1.2375017e-34 --9.303685e-34 --1.1308935e-34 -9.68816e-34 -1.1684708e-33 -8.225847e-34 -7.768023e-34 -1.4761564e-34 -1.05798165e-33 --5.569308e-07 --1.0197208e-33 -3.3297358e-35 -1.4040402e-33 -1.0373898e-33 --1.671151e-08 --1.2303282e-33 --8.966973e-34 -1.3542944e-33 --7.561106e-34 -2.21644e-09 --1.5978878e-34 --3.737455e-34 --9.840921e-34 -9.751396e-34 --2.8552482e-34 -8.645902e-35 -6.010513e-08 --1.0012097e-33 -1.0412584e-34 --1.9296416e-05 --8.06946e-34 --7.2126717e-34 -1.0374825e-33 --6.197926e-34 -1.0794491e-33 --8.7635455e-34 -5.737364e-34 -1.1032529e-34 --3.4322617e-34 -5.4526518e-34 --9.305074e-34 --6.858745e-34 --4.5376497e-34 -2.5053789e-34 --1.0877528e-10 -7.4588606e-35 -2.2853934e-11 -9.433372e-34 --9.829983e-34 -1.2232547e-33 --9.452458e-35 -1.1102074e-33 --6.527426e-34 --1.2481546e-33 -5.1739577e-34 -3.0715943e-34 --1.08445195e-33 --3.7815982e-34 --2.0806358e-34 -1.2962709e-34 --0.021116499 --9.903681e-34 -0.16892755 --0.16384156 --1.7772556e-34 -8.421305e-34 -1.1846335e-33 -0.028326372 -1.0219152e-33 --0.0154199125 -6.6732663e-34 --8.045326e-34 --2.0568626e-36 --7.264598e-34 -0.09966356 -3.0570228e-34 --0.03581891 --6.6012842e-34 -0.088239945 --0.1702083 -2.8518347e-34 -6.216267e-34 --5.1055577e-35 -0.06861256 -5.719742e-34 --0.077055015 -6.573279e-34 --7.642616e-34 --1.9136886e-34 -1.8978292e-34 --0.045746937 -9.2801275e-34 --6.636077e-34 -1.0635024e-33 --6.721438e-34 --1.3060492e-33 -4.6101355e-34 --1.1455721e-33 -3.8481635e-34 --4.0340615e-34 -4.0298366e-34 --8.716869e-35 --1.4256965e-34 -9.35748e-34 --3.1692875e-34 --1.463956e-34 --1.2027658e-33 -3.2797468e-34 --5.207675e-34 -3.2553185e-34 -3.250698e-05 -3.0581282e-09 -4.496859e-34 -1.298587e-07 --6.715849e-34 -6.7250913e-34 --2.8799538e-34 --6.774969e-34 --6.4271843e-34 -1.080307e-33 --3.1343675e-34 --6.69575e-34 --3.651948e-08 --9.722579e-34 -4.47593e-34 -5.2924695e-34 --1.2077617e-34 --1.257247e-33 --6.3092515e-34 -1.2337959e-33 --7.958677e-34 -9.31735e-34 -8.662563e-34 --2.6176076e-06 -4.9141785e-34 --1.1526631e-34 --5.108568e-34 --1.0771257e-33 -1.1378844e-33 -4.2029846e-34 -0.02523647 -4.9196344e-35 -0.0024634846 --0.0041804784 -1.0062336e-33 -4.6592785e-34 -1.0558856e-33 --0.023977347 -4.9428307e-34 --0.022428762 -1.0626251e-34 --5.641548e-34 -1.1068308e-33 -4.6969687e-34 --0.052088946 -6.561246e-34 -0.036119476 -9.334e-34 --0.008528032 --0.1794732 --8.0674995e-34 -3.8389083e-34 -1.1043764e-33 -0.09062709 -5.009516e-34 --0.10025492 -2.5322782e-34 --9.728178e-34 --7.2440684e-34 -5.910806e-34 -0.0054749683 --3.703243e-34 -7.912517e-34 -1.0040682e-34 --2.1307205e-06 -9.9812695e-34 --5.3121324e-35 --1.5954658e-09 -2.318501e-34 -5.604292e-06 --6.2502743e-34 -3.692418e-12 -1.778191e-34 --3.7733497e-34 -5.8437534e-34 --4.97709e-34 --2.7583563e-34 -7.2177273e-34 -7.4188398e-09 --5.836832e-34 -3.7746337e-10 -8.2313284e-10 -3.9594617e-34 -1.2170565e-33 -1.6463019e-34 -2.6368213e-11 -9.31006e-34 --1.1223674e-09 -7.4534217e-35 -2.2076817e-34 --1.1453139e-33 --9.706362e-35 -6.0267006e-18 -5.859861e-34 -6.080636e-11 --1.0859893e-33 --7.146622e-06 --5.425002e-34 -2.8829004e-34 -1.2865023e-06 --9.333068e-34 --5.188457e-10 -9.729189e-34 -7.5586417e-34 -1.9616211e-35 --1.0176212e-33 -1.0428931e-33 --8.325331e-34 --6.236085e-10 -1.1655446e-33 --1.0840438e-33 --8.4385e-34 --1.14829635e-33 --8.992884e-34 -3.185795e-34 -2.7361394e-34 --4.90419e-34 -1.0722536e-33 --1.2310305e-34 -1.2883653e-33 --3.0263908e-34 --5.481704e-34 -3.177387e-34 -5.8569736e-34 --6.3195366e-10 --8.3681165e-34 -1.2559231e-33 -1.1205622e-33 -2.9861494e-34 -3.6806037e-34 --5.7077726e-34 --9.351146e-34 -6.7702537e-34 -2.1436903e-34 -3.6379224e-34 --8.8092264e-35 --1.07217e-34 --8.600124e-34 --9.529976e-34 -2.9916056e-34 -2.232205e-34 -9.175365e-34 -8.741711e-34 -1.9256361e-34 --1.00072185e-33 --3.2511235e-35 --1.2123696e-33 -6.074073e-34 -5.648232e-35 --2.3658587e-34 --2.979555e-34 --6.4240472e-34 --7.52069e-34 --9.870112e-34 -1.1280191e-34 --6.737302e-34 --5.8512876e-34 -4.6640475e-34 --1.4479446e-34 -4.638248e-34 --1.2384642e-08 -1.2505379e-33 --9.4769525e-35 -1.3655163e-33 --7.3539937e-34 -4.282561e-34 -2.526523e-34 -9.820484e-35 --1.447074e-34 -3.1186136e-34 -4.4975663e-34 -2.6144285e-34 -1.7927023e-09 -8.114374e-34 -5.6442225e-34 --2.9151893e-34 --2.4012966e-34 --1.1614692e-33 -9.667306e-34 -8.0720775e-34 --4.505565e-34 --2.1219749e-34 --8.500587e-34 --7.563351e-34 --7.200068e-34 --5.2153286e-34 -7.721473e-34 --2.2452273e-34 -1.0665036e-33 -7.5076593e-34 -0.0014504791 -9.0359424e-35 -9.7017075e-34 --1.1904287e-33 -1.8697266e-34 --7.591637e-11 --8.029278e-34 --2.0856032e-09 -4.3567834e-34 --5.0864375e-35 --7.718742e-34 --8.897226e-34 -5.34037e-34 -1.2897956e-34 --1.2073135e-33 -1.0051412e-34 -0.07093986 -8.242926e-34 -0.12084244 --0.01776583 --9.305458e-34 -1.1697451e-33 -7.0012214e-35 -0.19082692 --8.801012e-34 --0.073973194 -4.1201504e-34 -1.0868485e-34 -7.806623e-34 --6.0599824e-34 -0.02123109 -1.1506974e-33 -0.00085279625 --7.5096796e-34 -0.04172483 --0.07746179 --1.1808298e-33 --1.3108726e-33 --7.865442e-34 --0.014157656 --3.3099777e-34 -0.0389065 -5.0603287e-34 --9.65427e-35 --1.4702303e-34 -1.7106251e-34 -0.011847774 -6.9245075e-34 -1.1431198e-33 --1.0771897e-34 -1.0737259e-34 -1.0784426e-33 -9.339296e-34 -0.0011049398 --8.094728e-34 --6.544403e-34 --7.706873e-34 -9.3325435e-35 -1.8618675e-34 -1.5881313e-34 -1.0793804e-33 -7.6911126e-34 -5.6286688e-05 --3.6754182e-34 --2.0508306e-10 --2.761442e-34 -6.821941e-08 -6.9539157e-12 -9.199819e-34 -5.2758097e-12 -4.1171873e-35 -7.903779e-08 --4.131451e-34 --2.5155772e-12 -5.6705324e-34 --1.9820343e-12 -1.1318835e-33 -4.313313e-34 --1.2501128e-10 -8.857712e-34 -9.3428e-34 --1.651356e-34 --4.3191095e-10 --6.976985e-34 --1.926053e-34 -6.892908e-34 --8.099563e-34 -1.0705815e-34 --1.2791422e-34 --2.4501894e-34 -6.615511e-34 -9.961662e-34 --9.239826e-34 -2.7923264e-34 -9.946387e-34 -8.039271e-34 --0.1197307 -9.870791e-35 -0.08542579 -0.022146756 -8.30003e-34 --5.803242e-34 -3.4364225e-34 --0.013368077 -2.185737e-34 --0.023354677 -3.4184772e-34 --9.690171e-34 --3.8999844e-34 -3.9625896e-34 -0.06112932 -7.242138e-34 --0.0426191 --3.5397469e-34 --0.23711286 -0.20414364 --1.1809266e-33 --1.0322122e-33 --4.0663316e-34 --0.20897897 -2.0891065e-34 --0.036118556 --7.1357967e-34 --4.45406e-34 -3.139569e-34 -4.7039643e-34 --0.20939238 -6.9148226e-34 -6.085338e-11 -3.0534944e-34 -9.136435e-06 -9.3886734e-35 --6.639971e-34 -6.3629415e-08 --1.0052474e-33 --9.72989e-34 --4.6597478e-34 --3.9943625e-11 --2.9455632e-34 --6.086372e-34 -9.965713e-35 -5.4566664e-34 --9.929596e-11 --3.978113e-34 --3.7339818e-22 -8.0068495e-34 -1.3371223e-24 -2.7639222e-21 -8.880294e-34 --8.321295e-34 --7.599603e-34 --2.3021947e-24 --8.033699e-34 -2.4333537e-24 -6.305728e-34 -3.114189e-34 -1.0273325e-34 --6.578008e-34 -2.635306e-21 --1.7340518e-34 -8.112175e-34 --9.968536e-34 -3.919686e-35 -1.1538741e-33 -3.5640015e-34 -5.3097393e-09 -3.2505137e-34 -1.0738082e-33 --3.4296802e-34 --0.00011417657 --1.095653e-34 -6.075913e-34 -1.3927459e-34 -6.9395854e-35 --1.3745614e-33 -1.1511472e-33 --1.1659346e-33 --5.3515317e-34 -5.3462952e-34 --1.0711667e-33 --1.1069983e-33 -4.756559e-08 --1.0079429e-33 -4.700123e-09 --1.1260409e-36 --9.841724e-34 -8.318812e-34 -9.019664e-34 -4.290582e-34 -1.1441752e-33 --9.5691025e-12 -1.6127452e-34 --1.8590966e-12 --2.685968e-35 -7.912561e-34 -1.1796086e-33 -2.303508e-34 -6.360835e-34 --3.4873317e-34 -3.1019827e-06 --5.3752473e-34 --2.1572232e-34 --7.3848578e-34 -1.0355562e-33 --4.9193888e-34 -1.0014838e-33 -1.399434e-10 -5.2171525e-34 -5.44417e-34 -8.85937e-34 -9.885224e-34 --4.6974518e-34 --9.670737e-34 --1.1305192e-33 -8.5179443e-35 --1.32895725e-33 -1.1630679e-33 --6.3181205e-34 --1.1551069e-33 --9.873829e-34 -2.0728814e-34 --1.213607e-08 -4.6909571e-35 --8.377078e-35 -0.00040669728 -3.1971258e-34 -1.3633824e-34 -3.093314e-34 -3.9043e-34 -1.36647435e-33 -4.5531304e-35 -1.3802434e-33 -4.107894e-34 -6.400573e-34 -5.903005e-34 --1.090035e-34 --3.8230832e-34 -6.0187193e-34 -7.381138e-08 -1.717175e-34 --9.504732e-34 -6.63179e-34 --9.867871e-35 --3.118906e-34 -7.958009e-34 --8.420249e-34 -5.70582e-34 -9.590304e-06 -9.280822e-35 -8.317622e-34 --9.78084e-34 --5.306354e-34 --7.3022343e-34 -8.515355e-34 --2.4896676e-34 --9.602868e-34 -9.831339e-34 -1.0054666e-33 -3.1704332e-34 --4.6005047e-34 -5.841105e-34 --7.725555e-34 --3.047548e-34 -1.0544566e-33 --6.6972946e-34 --9.964745e-34 --2.1694244e-34 --2.0217676e-35 -2.460576e-34 -4.8478957e-34 --4.978803e-34 --5.5544308e-34 -0.0042327847 -3.35116e-34 -0.006679013 --0.116458125 -5.324429e-35 --5.7227317e-34 -5.999964e-34 --0.21436092 -3.05787e-35 -0.05727799 -1.5351612e-34 -9.158282e-35 -9.636469e-34 -7.85563e-34 --0.06884901 --7.5473744e-34 --0.06813568 --6.7873067e-35 --0.08880687 --0.17938827 -1.1063683e-34 -2.9432597e-34 --5.2444846e-34 -0.10032585 --6.033369e-34 --0.03409205 --7.855665e-34 -1.137754e-33 --7.5745274e-34 -1.0004434e-34 -0.08756505 --7.9071115e-34 --5.169152e-34 --1.1720158e-33 -0.0005663433 -6.31904e-34 -2.3239808e-34 --3.3037893e-34 --1.1757588e-33 --1.1398607e-33 -2.5146478e-34 -8.056603e-34 --5.7916496e-34 -9.00056e-34 --1.0810188e-33 -5.2438725e-34 --1.0298056e-34 --6.57249e-34 -3.6005392e-34 --8.719259e-34 --9.033121e-08 --1.0892732e-09 --6.5995632e-34 -0.0003748394 --6.8792905e-34 --5.8551667e-34 -6.9698403e-34 --1.0721566e-33 --4.6225728e-34 --1.1094301e-33 -1.0573057e-33 -6.4015586e-35 -4.826962e-34 -4.594166e-34 --1.0825774e-33 --1.579565e-34 --8.337123e-12 -2.566141e-35 -4.455366e-34 -1.1726805e-33 --1.2319071e-34 -3.8082931e-34 -9.710206e-34 -1.293154e-33 -6.6723677e-35 -1.3755745e-34 -2.3362794e-34 -3.8597784e-34 -9.751578e-34 -1.0982976e-33 -0.03461212 -2.0559304e-34 -0.05553928 --0.034625895 --5.4705744e-34 -1.3134644e-33 --8.65117e-35 -0.08436933 --6.4434374e-34 -0.056442015 --2.8183777e-34 --3.7774075e-34 -2.6399766e-35 --3.766151e-34 -0.019223645 -6.57111e-34 -0.09146716 --9.250398e-34 --0.21782243 -0.035936244 --1.0021677e-33 -4.3350886e-34 --8.489689e-35 --0.15462008 -1.3440276e-34 -0.04718037 --5.5191958e-34 -6.120554e-34 -1.0056832e-33 -7.008251e-34 -0.0069536883 -5.241918e-34 --2.9145028e-34 -3.632553e-34 -6.893907e-34 -6.205861e-34 -6.062702e-34 -7.1072446e-34 -5.302545e-35 --5.438028e-34 --8.6209305e-34 --4.9244397e-34 --8.0450255e-34 -5.507204e-34 -3.0952493e-34 --1.7410984e-34 -6.2498096e-34 -6.8682693e-34 --3.1143553e-15 -6.3195926e-34 --0.08075089 --7.783492e-15 -1.1390327e-33 --5.6219487e-34 -3.9222256e-34 -0.06082368 --2.1532602e-34 --4.5790843e-15 --9.596662e-34 --5.8299377e-34 -3.0123402e-34 --8.830916e-34 -0.020822193 --6.903289e-34 --7.0848207e-09 --1.1800627e-33 -4.287028e-35 -2.886353e-35 --4.5938613e-34 --1.3986458e-33 --1.0440533e-33 --1.0722948e-33 -7.0145295e-35 -1.7116667e-34 -9.674278e-34 --4.9524234e-34 -2.7051009e-34 --3.7757625e-34 --3.7653692e-34 --4.7684066e-35 --1.3148668e-33 --3.8152047e-34 -1.1188091e-33 -4.50001e-34 --6.559993e-34 -8.0999304e-12 -4.0287406e-35 --7.454112e-08 -1.0976814e-33 -1.1755017e-33 --3.2898643e-34 --3.0928818e-35 --5.6239948e-34 --6.946143e-35 --2.5992825e-34 --5.7066917e-34 --1.3391584e-33 -3.5908942e-34 -1.5076744e-34 --1.1889743e-33 -8.886217e-34 --9.780245e-34 -9.084777e-34 -1.2063055e-33 -6.388982e-34 -3.8412947e-34 --8.443654e-34 --5.507956e-34 -3.4683875e-34 -4.8832184e-34 --1.0358309e-33 -8.561324e-34 -1.9429223e-07 -8.987279e-34 --1.3960186e-33 --5.757689e-34 -5.412101e-34 --9.934837e-34 --9.820703e-09 --2.8044623e-34 -4.854946e-34 --6.094953e-34 -1.0139285e-33 -7.0166433e-34 -8.0330345e-34 --3.375726e-34 -5.880616e-34 --9.296138e-34 --1.8158743e-34 --2.5962336e-34 --1.160009e-07 --4.5093044e-11 -6.9891368e-34 --7.5476775e-34 -4.230305e-34 --0.00011895415 --1.0582113e-33 -2.5644728e-11 --1.0719817e-33 --1.0346043e-33 -7.1340137e-34 -4.1341757e-36 --5.4289598e-05 --5.4474906e-34 --1.0452466e-33 --9.575044e-34 -5.383624e-12 --1.1294984e-33 --4.3215727e-34 -5.294603e-34 --3.9094407e-34 --1.1782028e-10 -4.1850905e-34 -1.1588938e-33 --5.430358e-34 --5.0426485e-34 --4.651321e-34 -2.1140917e-34 -3.1238367e-34 -5.669198e-35 --8.106585e-34 --6.0389e-34 --1.2535384e-33 -2.0367763e-34 -4.301887e-34 -1.5297149e-34 -1.0087009e-33 -7.4982874e-34 --4.082537e-34 --8.187935e-34 -1.0962513e-34 -3.9373477e-34 -3.0364305e-35 -5.5113714e-34 -9.170066e-06 -5.770555e-34 --0.004197961 -4.5746507e-34 -0.01424253 --0.014873586 --1.1534928e-33 --5.4832275e-34 -1.7303897e-35 --0.20249383 -2.3805955e-34 -0.112810515 -6.5180037e-34 -3.7522877e-34 -1.0860049e-33 -8.402258e-34 --0.008297066 --2.8182153e-34 --0.024612298 --7.1025485e-34 -0.17383191 --0.333963 -3.091564e-35 -1.3208099e-33 --1.3934094e-34 -0.029825881 -8.018005e-34 --0.029152147 --1.0032998e-34 --2.8338942e-36 --8.11943e-34 --7.6990706e-34 -0.07991325 --1.0739195e-33 -7.0806196e-34 --2.0196412e-34 -9.161952e-05 -1.1239904e-33 --8.670826e-34 -5.206382e-34 -1.06384075e-35 -0.00037010445 -1.0831957e-33 --1.3930754e-33 --4.2435677e-34 --3.89686e-34 -6.290892e-34 --4.99367e-34 -4.371958e-34 -8.320296e-34 -4.0316075e-10 -1.935378e-34 --6.272421e-34 --6.36064e-09 -1.0538454e-34 -0.0003350667 --9.410567e-34 --6.06896e-34 -1.0441167e-33 -2.9890472e-12 -4.226435e-34 --7.0860817e-10 --6.8680315e-34 --6.4024806e-34 --1.2313186e-33 -1.2623175e-34 -1.1393861e-33 -6.121557e-35 -6.036917e-34 --1.2894732e-34 -1.3474435e-34 --9.013896e-34 -1.0551054e-34 -1.1212262e-33 -7.3174744e-34 -1.0260949e-33 --9.808358e-34 -3.7744729e-34 --3.4094846e-35 -4.6981506e-34 -6.9371505e-34 -7.58183e-34 --0.095046155 --6.5799986e-34 -0.16460972 --0.15815769 -8.029552e-34 --4.454323e-34 -5.9867725e-34 -0.13184473 --3.4466236e-34 --0.07895542 -3.8491344e-34 -3.3894852e-34 -5.9551885e-34 -3.6147416e-35 --0.010828095 -8.739724e-34 -0.10821721 -3.886888e-34 -0.090933114 --0.003585448 --7.5033347e-34 --1.7881285e-34 --1.0559328e-33 --0.161532 -8.433446e-34 -0.14767419 --8.562102e-34 --8.324118e-34 --7.0261575e-34 --1.5755221e-34 -0.048077464 --1.936883e-34 -9.4603865e-07 -4.4199414e-35 --3.3925037e-12 -8.702449e-34 --9.213143e-34 --1.3544382e-10 -1.7602335e-34 -6.149142e-11 -2.9423953e-34 -3.2205019e-34 --3.891231e-34 --8.781196e-34 -4.9295825e-35 --1.1116963e-33 -9.351473e-34 --1.6403382e-34 -4.231141e-19 -4.9344186e-34 --0.015662845 --9.408184e-18 -5.979975e-34 --4.875113e-34 --3.1682925e-34 -0.0077390447 --1.8496045e-34 --1.0999854e-19 -1.1719952e-33 -4.777584e-34 -8.35015e-34 -9.151856e-34 --0.004768139 --1.6798741e-34 --1.2382558e-33 --2.251191e-35 --1.2343023e-33 -1.1358122e-35 --8.052753e-34 --1.3537786e-33 --1.9265278e-34 --8.274107e-12 -3.3303897e-34 -7.6258727e-35 --9.904866e-35 --8.68578e-34 -4.360858e-34 --3.1654644e-34 --7.17845e-34 --1.17736045e-33 --2.961364e-35 -4.3810316e-34 -3.5972478e-34 -5.583957e-34 -2.2354413e-35 -5.4318712e-34 --6.482539e-34 --8.350712e-34 -9.799417e-34 --3.3753845e-34 --9.058549e-34 --5.9700057e-34 -6.5054466e-34 --1.1902389e-33 -7.854389e-34 --9.643294e-34 --1.0956558e-34 --9.53955e-34 --7.5295115e-34 --8.6635605e-34 -8.058699e-34 --5.422533e-34 -5.990218e-35 -1.1793454e-33 --8.11968e-34 -3.157144e-34 -2.9642482e-34 -9.645188e-34 --8.109854e-34 -3.1014277e-34 -9.147732e-34 -1.19721455e-33 --1.2263139e-33 -1.8780691e-10 --1.0805908e-33 --6.3212025e-34 --1.1082965e-34 --9.463817e-34 -1.2081092e-33 -3.0441777e-34 -6.7678353e-34 --7.942933e-34 --6.8465934e-35 -6.4456763e-35 --4.8130322e-34 -8.435096e-12 --1.0795549e-33 -1.1725568e-33 -1.1264968e-33 --1.1207854e-33 --6.345289e-34 -3.8099241e-34 --7.83512e-35 --4.7405042e-34 --1.0551063e-33 --2.0247498e-05 -2.3502834e-34 -4.267478e-34 --7.961309e-34 --7.2421045e-34 --2.3205122e-34 --6.881051e-34 -5.2311098e-09 --5.6081036e-34 -1.2841052e-06 --5.5946184e-35 -6.8300336e-34 --3.940461e-34 -6.4568766e-34 --7.173356e-34 -1.1187088e-33 -4.512837e-10 --6.0250257e-34 --7.7639345e-34 -1.0986082e-33 -1.1835142e-33 --3.7388086e-34 --6.7162127e-34 -9.10573e-34 -1.1299989e-33 -6.5716857e-34 -4.1286337e-34 --4.3170324e-34 --3.5685253e-34 -9.27637e-34 --5.7558963e-34 -6.876711e-34 -7.7007606e-08 -7.8616915e-34 --7.765654e-34 -1.871938e-34 --6.236723e-35 -2.1929545e-34 -4.951578e-34 --8.354275e-34 --1.013569e-34 -0.03982898 -2.8815113e-34 --0.04725598 -0.13716108 --3.9801825e-34 -7.852624e-34 -9.851413e-34 -0.114774145 -9.795741e-34 --0.09181415 --2.031982e-34 -5.1351723e-35 -2.0537668e-34 --9.481306e-36 --0.0972878 -3.4073701e-34 --0.03186508 --3.675712e-34 -0.06319211 --0.116881125 --5.055407e-34 --4.580972e-34 --7.930769e-34 -0.042069614 -8.413636e-34 --0.086709164 --3.4479607e-34 -1.1840643e-33 -1.16362865e-33 --1.3034778e-34 -0.08156726 -5.530136e-34 -1.4236362e-05 --2.6351452e-34 --1.2006382e-33 -1.3211942e-33 -4.349218e-34 --6.37306e-34 -1.3934852e-34 -8.205964e-34 -2.4026937e-34 -9.952e-34 -4.8304057e-34 -4.9273137e-34 --5.5267322e-34 -5.034369e-35 --2.4366822e-34 --6.357099e-05 --1.1892844e-08 -3.0230372e-34 -3.4203233e-34 --1.0661469e-33 -1.09246625e-33 --1.3264098e-06 -6.8843855e-34 -1.8107125e-09 -7.6568157e-34 -6.533802e-07 -7.4666097e-34 -3.8157943e-34 --6.344547e-35 --5.5772872e-34 -5.043602e-34 --1.2051326e-33 --4.7555065e-34 --8.279622e-35 -7.672776e-34 --1.0224891e-33 -1.1712677e-33 --1.2375766e-33 --3.1586856e-34 --2.15669e-34 -8.540734e-34 --8.141229e-12 -7.121239e-35 --1.0678562e-33 --7.173906e-34 -1.7623985e-34 -9.295868e-34 --7.806722e-34 -0.0037449824 -8.04293e-34 -0.016083391 --0.00037069747 --1.0893639e-33 -1.1063794e-33 -8.29564e-34 --0.0016548557 --3.3606412e-34 -5.2517307e-06 -7.823717e-34 --6.7908873e-34 --9.251403e-34 -3.8120593e-34 --0.0018448633 --5.9031774e-34 -0.18671462 --1.4741783e-34 -0.1187367 -0.106498145 --4.4212216e-34 -2.9903878e-34 --7.6634513e-34 --0.19858333 -6.2933832e-34 -0.019840682 --2.5828997e-34 --1.0104035e-34 --3.520532e-34 -4.828532e-34 -0.014445847 --8.766975e-34 -5.1081107e-35 -3.7714565e-34 -7.8807716e-07 -1.0354724e-33 -8.997833e-34 --8.453045e-10 -8.359166e-34 --2.8057822e-05 --1.6086617e-34 -9.023682e-34 -6.0265763e-34 --6.8632083e-34 -7.2104897e-34 -5.5629265e-34 -1.894688e-06 --7.884523e-34 --9.5554065e-17 -1.5254096e-34 -1.4918425e-16 -7.359535e-18 --1.14462e-33 --2.373437e-07 -1.0729007e-33 --1.3001401e-17 -3.568833e-34 -3.1954364e-17 --4.451786e-34 -5.8174894e-34 --2.0203038e-34 --4.2931405e-34 --4.5387293e-18 --5.3052714e-34 --1.1864411e-33 --9.473419e-34 --4.482428e-05 -3.507565e-35 --6.4907666e-34 --1.3348669e-09 -4.860015e-34 -1.01318925e-10 --5.3014207e-34 --3.81167e-34 --1.0073794e-34 --1.0947169e-33 --5.747844e-34 -4.3344674e-34 --3.0921948e-10 --2.3345545e-34 -2.382801e-09 -6.00837e-34 -6.4343034e-34 --1.4647215e-34 --7.382707e-34 -8.7957375e-34 --5.60832e-35 --6.5070078e-34 -8.954248e-34 -1.350142e-33 --2.5164896e-34 -5.286225e-34 -7.468292e-34 --6.385915e-34 --9.130876e-34 --1.1522141e-33 -8.683459e-34 -1.1885613e-33 -5.7820032e-34 --9.460849e-34 -6.333943e-34 --3.2671242e-34 -1.0088761e-33 -2.4685436e-34 --1.6041692e-34 -8.615396e-34 -5.0914067e-34 -4.9164913e-34 -1.1308504e-33 -1.1382857e-33 -1.0900693e-33 --8.1105e-34 --1.0083126e-33 --5.555401e-34 --7.782816e-34 -3.1904037e-34 --4.49512e-34 -5.3220948e-34 -2.274409e-34 --1.1726499e-05 --1.10475475e-33 --9.022962e-34 --6.511401e-34 -4.1231162e-34 --1.191869e-33 -9.252496e-34 -1.2892851e-33 -6.2935968e-34 --3.345163e-35 -4.364293e-34 -1.5657109e-12 -7.796283e-34 --8.193695e-34 -5.711284e-06 --8.049439e-34 --1.7146525e-05 --6.76967e-34 -8.205215e-34 -1.959801e-34 -5.2752384e-34 -9.346767e-34 --1.6413278e-34 --5.452865e-07 -1.1761501e-33 -3.5650099e-34 --3.1575817e-34 --5.0674368e-34 -1.0989109e-34 -7.932159e-34 -9.159996e-34 -2.8559356e-11 -5.276941e-34 --1.8009639e-34 --4.974088e-34 --1.0868654e-33 -1.1543619e-33 --2.0786028e-34 -3.736397e-34 -1.0718819e-34 --3.6518495e-34 --3.142203e-34 --6.899746e-34 --1.9305731e-34 -1.6098065e-34 -1.0383773e-33 -1.2640091e-33 -4.0255924e-34 --7.1938546e-34 --4.428798e-34 --9.376114e-11 --2.723277e-34 --8.948225e-34 --5.984721e-34 -3.7746685e-35 -9.567282e-34 --2.238385e-34 -0.011793586 -1.196257e-33 -0.0606429 -0.1393143 -2.763e-34 --3.7580605e-34 --9.1928985e-34 -0.19973955 --2.7525924e-34 --0.0807182 --9.260576e-34 --6.4181096e-34 --8.449314e-34 --5.5918804e-34 -0.015049648 -3.901494e-34 -0.102079645 -5.6508773e-34 --0.07851659 --0.04366381 --6.479618e-34 --4.5942934e-34 -1.1335471e-33 -0.21761262 --8.354219e-35 --0.05268848 --1.7107567e-34 -4.945223e-34 -4.0023884e-34 -1.1333219e-33 -0.08095401 -9.61001e-34 -6.9413034e-12 --4.493674e-34 -1.8347677e-08 --9.556675e-34 --6.7081394e-34 -1.6080763e-35 -1.0906431e-33 -1.4288663e-33 -3.7187526e-34 --7.447271e-34 -3.776349e-35 -4.825098e-34 -9.806593e-34 -5.4347145e-34 --9.298513e-34 -6.184057e-34 -4.748512e-06 -2.960163e-34 --3.0841943e-06 -5.209703e-34 -6.0797284e-34 --6.500186e-07 --8.437875e-34 --2.2202296e-34 -7.812896e-34 --3.911064e-05 --1.0248797e-33 -3.9820165e-34 --8.84295e-34 -3.2609297e-34 -5.346906e-10 --8.934572e-34 -9.664653e-09 --1.2066909e-35 --1.07595055e-33 -1.0991445e-33 --4.357113e-34 --1.4613993e-06 -1.0381711e-33 -3.797963e-09 --2.893957e-34 --1.4834618e-09 -1.0101974e-33 -9.332972e-34 --8.452635e-34 -6.4467324e-34 --8.069841e-34 -1.0111114e-33 -0.19010037 --3.6004343e-34 --0.017442439 --0.09918659 -9.408787e-34 -6.1829364e-34 --8.8545545e-34 --0.021200811 -2.2121277e-34 --0.0016390396 -1.654531e-34 -1.1823445e-33 --8.445104e-34 --3.120608e-34 -0.002347152 -2.276564e-35 -0.18237929 -3.9922093e-34 -0.120775774 -0.029971011 -4.615329e-34 -4.008657e-34 -2.7329224e-34 --0.0704102 -2.3477855e-34 --0.066543825 --7.381085e-34 -3.0682386e-34 --1.0842569e-33 --6.8375513e-34 --0.041728854 -9.82028e-35 --3.0327856e-06 -6.77234e-35 -4.3849327e-10 -1.1497753e-33 -8.861242e-34 -2.6854244e-05 --9.769236e-34 --1.0872588e-33 --1.0480369e-33 -1.1188708e-33 -6.0927934e-34 -2.4139217e-34 -8.836184e-34 --4.8347146e-34 -4.0969757e-34 -6.4757942e-34 --3.7140788e-05 -1.0845664e-33 -0.00010488267 --1.294834e-05 --1.1935457e-33 --5.108214e-13 -1.0827811e-33 --2.3034646e-32 --9.42956e-34 --5.0704968e-11 -9.183518e-34 -7.2155517e-34 -1.2049822e-33 --5.8955197e-34 -2.2568113e-24 -4.991042e-34 --1.5528238e-12 -4.2185094e-35 -6.4248377e-07 -3.867503e-34 --1.0357477e-33 --1.6661471e-10 -3.2428647e-34 -2.1783322e-12 -1.1673974e-34 -8.692498e-34 -4.933538e-34 --7.019104e-34 -3.3638856e-34 --7.740976e-35 -2.4292854e-06 -2.4616734e-34 -3.8821583e-34 -1.2146376e-34 -7.1892647e-34 -2.4304269e-34 -1.1063514e-33 --2.0925283e-34 -4.3358825e-34 --4.4054874e-34 --3.4067146e-35 --1.0550356e-34 -5.556966e-34 -4.4557554e-34 --3.7112322e-34 --7.059434e-34 --1.0828757e-33 --9.179202e-34 --5.9615426e-34 -1.0751672e-33 -7.931585e-34 -7.38296e-34 -1.9327037e-34 -3.5791397e-34 -7.5312298e-34 --1.5009636e-34 -2.2498291e-34 -9.5003325e-34 -1.2139905e-33 -9.65583e-34 -1.5738444e-34 -7.3147896e-34 -1.1346333e-33 -6.0784225e-34 -1.045589e-33 -3.6285013e-34 -5.1806093e-34 --1.0042718e-33 --3.385512e-34 --8.390532e-35 --8.440681e-34 --8.075733e-12 --9.041021e-34 --5.3044917e-34 --5.9995964e-34 -6.1985247e-06 -2.7395777e-34 -2.2226504e-34 -1.524719e-34 --9.647727e-34 --1.4816807e-06 --1.4217274e-34 -2.9579993e-34 -9.233097e-34 --7.0577186e-35 -7.5932527e-34 -2.05079e-34 --2.5890856e-09 -5.5264535e-34 --7.6392614e-34 --1.9192673e-34 -6.9641355e-34 --2.5081358e-34 --9.494975e-34 -3.7576146e-34 -1.6039473e-34 --1.1087836e-33 --2.1636333e-34 --4.9871853e-09 --2.7811002e-34 -6.7635006e-36 -1.0710255e-07 --5.705857e-34 --7.0582984e-11 --9.933427e-34 -6.471561e-34 -2.2267518e-34 --7.847253e-34 -2.1130099e-34 -3.0177879e-34 -2.4010482e-35 --2.4938618e-34 -1.1151088e-33 --5.404082e-34 -8.861225e-34 -5.0709577e-34 -1.0148344e-33 --1.0405589e-33 -3.3725668e-36 -6.9757325e-34 -8.865267e-34 -8.3414255e-34 --1.3271588e-34 --7.954683e-34 -1.0545264e-33 -1.7514733e-34 --5.041685e-34 --3.5000638e-34 --0.00038236333 --5.1661347e-34 --0.12278914 -0.050934386 -2.661954e-34 -6.756003e-35 -4.8915263e-34 -0.15946566 --2.9003535e-34 --0.060973722 --7.916698e-34 --4.1269536e-34 -2.859781e-34 -5.1997313e-34 -0.0244113 --1.686878e-35 -0.044985455 --6.169599e-34 --0.055981718 --0.15451986 --2.3739825e-34 --1.1220703e-33 --5.2871468e-34 -0.17069207 -9.206994e-34 --0.10780412 -6.6548165e-34 -1.1593319e-34 --1.5038315e-35 -6.90125e-34 -0.05267362 --5.647442e-35 -2.6403807e-35 --6.600915e-35 -8.547695e-34 -8.117551e-34 -1.4659728e-34 -2.020087e-34 -1.8952234e-34 -1.2534478e-34 -5.8609356e-35 -8.006483e-34 --6.8716094e-34 --1.081978e-33 -6.1377395e-34 --1.4053157e-34 -5.0943133e-34 --1.090559e-33 --1.0916962e-10 --0.0014359883 --8.248256e-34 --6.1357866e-34 -4.0188682e-34 -9.078137e-34 --1.5470975e-35 --3.545357e-34 -6.058388e-36 -3.2484396e-34 -8.874009e-35 --3.606358e-34 -1.382003e-34 -6.239403e-34 -1.1673643e-33 --1.4185352e-34 --2.4697698e-07 -3.124947e-34 -0.00027596182 -6.8593617e-34 --1.20337855e-33 -1.17168575e-33 -5.8447342e-34 --0.00019005203 --6.9154746e-34 -5.3568114e-09 --6.7980785e-34 -1.2597718e-35 -8.496111e-34 -4.0224866e-34 --1.8581485e-34 -5.710915e-34 -0.13609268 -7.746683e-34 --0.11042303 --0.01219427 -2.2590435e-34 --7.5518473e-34 --8.30597e-34 --0.046117123 -2.7971517e-34 --0.01780622 -8.446806e-34 --4.316215e-34 --3.1792395e-34 --1.4326226e-34 -0.05603526 --7.0713805e-34 -0.019238204 --4.6339833e-34 -0.111325584 -0.010472095 -1.329754e-06 -7.93835e-34 -2.8548781e-34 --0.02825635 -6.935648e-34 -0.035710227 -3.9682917e-34 --6.612591e-34 -7.59461e-34 -1.5749366e-35 --0.03994834 -9.716748e-34 -2.0958409e-12 -1.0411769e-33 -4.5882687e-11 -6.7038695e-35 --1.74281e-34 --1.6849208e-07 --8.820509e-34 -1.5179904e-07 --5.6603208e-34 --1.1920218e-33 -9.144968e-34 --1.0210903e-33 --1.8727425e-34 --2.3161325e-35 -9.317115e-34 --5.8545694e-34 --4.8934297e-08 -3.3597474e-34 -1.1027829e-08 --1.3275752e-08 --3.3321004e-34 --1.3035278e-08 --2.7920636e-34 --2.334495e-35 --5.752738e-34 --9.764989e-34 -5.4904035e-35 -1.8392354e-34 -1.10334875e-33 --6.29787e-34 -2.1497059e-33 --6.6299365e-34 --1.1039949e-34 -1.1288637e-33 --1.1861047e-33 -2.4559815e-34 -5.0154413e-34 --1.8986315e-08 -2.1143617e-34 -1.0320796e-11 --1.0560891e-33 -6.818544e-34 --3.0612513e-34 -1.4666471e-34 -6.0957234e-35 -6.0758676e-34 --5.216474e-34 --6.7758897e-34 -6.8641523e-34 -1.5560689e-34 -9.36847e-34 -5.9097446e-34 -6.9979847e-34 -5.5130097e-34 -1.1202411e-34 -6.159821e-34 -9.783284e-34 --9.637114e-34 --8.094874e-34 --5.9098773e-34 --2.4993673e-35 -5.921552e-35 --8.097863e-34 --6.5682166e-34 --3.9859526e-34 --1.1022648e-33 -1.0846172e-34 --3.0708596e-34 --6.558722e-34 -2.779214e-34 --8.403443e-34 --1.6622666e-34 -4.992703e-34 --1.0150241e-33 -9.231036e-34 --1.1038357e-33 --8.890367e-34 --3.977888e-34 -8.599579e-34 --9.9835145e-09 --1.2433138e-11 -2.1522493e-34 -5.1755253e-34 -6.6574416e-34 --8.601491e-34 --4.8480877e-34 --2.5599843e-34 -1.0267062e-34 -2.5887617e-10 -8.730176e-34 -1.1601248e-33 -9.278654e-34 -9.341854e-34 --8.296272e-34 -6.5882197e-34 -1.1922877e-34 --3.140121e-09 -3.6168657e-34 --1.7799895e-10 -1.33320455e-33 -2.5867476e-34 --4.0765769e-10 --2.751965e-34 -0.000225414 -1.0324914e-33 --1.7887802e-09 --5.8111353e-34 --3.1708609e-34 --2.7735844e-34 -4.1211675e-34 --3.842366e-06 -5.6118725e-34 --1.126463e-33 -1.0569597e-33 --8.4919475e-34 --4.504575e-34 -1.0601365e-33 --4.7940765e-34 --5.154495e-34 -2.9975988e-34 --1.1298411e-33 -4.1917578e-34 -4.2515243e-34 --2.6357449e-34 -1.2048876e-33 --1.0337606e-33 -5.8896253e-34 --8.424164e-34 --8.741138e-34 --6.1512334e-35 -8.2378506e-08 --8.4031325e-34 -1.0446031e-33 -7.87975e-34 --4.366663e-34 -8.320309e-08 --5.9368223e-34 -2.604484e-34 --5.673594e-34 --2.8579574e-34 -1.1917529e-34 --1.0760086e-33 --7.68456e-35 --2.6019388e-34 --0.08710283 -5.538323e-34 --0.016402638 --0.027208569 --6.489952e-34 --2.4357292e-34 -1.1379183e-34 --0.14035161 -4.306887e-34 -0.011028733 -1.9450122e-34 -1.0686614e-34 --1.497816e-34 -4.8494023e-34 -0.041197743 --1.4990615e-34 -0.026128681 --6.79042e-34 -0.20000878 --0.08704752 --6.418703e-34 --2.326523e-34 --9.424244e-34 --0.084722124 --1.0450081e-33 --0.18231753 -4.81834e-34 -4.979003e-34 -9.017407e-34 -4.8681675e-34 --0.05304781 -8.8451955e-34 --8.502602e-34 -3.7361026e-34 -3.2842871e-34 --1.301802e-33 --3.537933e-34 --1.2246271e-33 --5.23587e-34 -5.366992e-34 -2.825543e-35 -1.02300335e-33 --9.700893e-34 --4.4359116e-34 -1.2072437e-34 -4.6695443e-34 --1.1165448e-33 --8.1723734e-13 --1.8985742e-09 --8.416892e-34 --6.0688643e-34 -1.314091e-33 --5.589226e-34 --0.0003783949 -4.9862576e-09 --1.0913172e-33 --6.9187637e-34 --4.819783e-34 --1.1030706e-33 --3.704901e-35 --5.9477222e-34 -1.1638867e-33 --1.2125562e-33 -4.4762614e-34 --2.596667e-34 --2.5690245e-35 --7.694786e-34 -7.4211897e-35 -3.6558425e-34 --4.2125707e-06 -2.5559288e-34 --6.413036e-08 --4.815397e-34 -7.2553862e-34 --1.1091864e-34 --7.6623764e-34 -8.1181495e-34 -1.0395108e-33 --3.8940014e-34 --1.1386614e-33 --0.06468331 --5.9173274e-34 --0.0463035 -0.010570532 --1.1278181e-33 -7.927754e-34 --9.237106e-34 -0.2684251 --1.0909352e-33 -0.027521264 -3.328775e-34 -1.0165681e-34 -2.1123285e-34 -3.5633362e-34 --0.040883165 -3.5268447e-34 -0.00065438915 -6.171733e-34 -0.0455754 -0.043723326 -1.2503293e-34 -6.99635e-34 --1.0267384e-33 --0.06989081 --3.1061958e-34 -0.09883448 --5.4807736e-34 --2.6230312e-34 --2.0854243e-34 --3.5190781e-34 --0.04254167 --9.462534e-34 --1.0607891e-10 -7.11808e-34 -5.6028175e-34 --2.74928e-34 -2.0106317e-34 --7.194907e-34 -1.0018935e-33 -1.9513731e-08 -2.2747515e-34 -9.292694e-34 --1.1512955e-33 --2.1981983e-34 -1.1644667e-34 -6.8126574e-34 --1.2081648e-36 --2.3247536e-34 -2.397585e-10 -4.0203744e-35 --5.298961e-12 --7.840161e-07 --1.1390335e-33 --5.7141074e-34 -1.027342e-33 -4.2183887e-09 -3.5263298e-35 -9.6248123e-14 -1.686234e-34 --3.9372935e-34 --8.977787e-34 --7.04873e-34 --1.3760814e-33 --4.1526106e-34 -1.0107338e-33 --1.0328692e-33 --1.3644389e-33 -2.7814501e-34 --3.0852245e-34 -1.1492485e-33 --4.4616467e-34 -4.2379317e-34 -1.0408848e-33 --5.5647994e-34 -7.0457882e-34 -1.3711942e-34 -5.9719875e-34 -5.024158e-34 -7.711931e-34 --8.939911e-34 --5.999782e-34 --7.0280144e-34 --6.8952735e-34 -2.9958392e-34 --9.261915e-34 -7.804533e-34 --3.3054887e-34 -1.0579251e-33 -1.150281e-33 --1.6224467e-34 -4.677132e-34 -6.9574315e-34 -1.1379654e-33 -6.3567093e-34 -9.249201e-34 -1.1029783e-34 --2.0291586e-34 --1.081491e-33 -5.106553e-34 -5.032577e-34 -9.968451e-34 --1.1186934e-33 --5.2595846e-34 -2.996629e-34 --1.0771352e-33 --7.339886e-34 -8.271256e-34 --6.974081e-34 --4.9042345e-34 --7.428426e-34 -1.1913751e-33 --2.7528682e-34 --1.40941185e-33 --4.7665414e-34 -7.6964606e-34 -1.303419e-33 -1.0104329e-33 -8.773199e-34 --4.483747e-34 -6.9551944e-34 -2.8692744e-05 -7.590795e-34 -3.606828e-34 -8.321629e-34 -1.0257173e-33 -4.5425363e-34 -1.3932883e-10 --6.223044e-34 --5.9711465e-06 --8.38322e-34 --0.0003743172 --7.506854e-35 --8.786807e-34 -2.3281547e-34 --3.5956751e-34 --1.1989455e-34 --1.0140101e-34 --1.2757728e-33 --6.8122363e-34 --1.005091e-33 -1.0889524e-33 -6.0565115e-34 --5.818256e-34 --1.9836467e-35 --1.3026505e-33 --2.1296358e-34 --9.534111e-34 -3.641619e-34 --6.401125e-34 -7.8882265e-34 --8.442654e-34 --1.0952536e-33 --5.168766e-34 -1.1296776e-34 --3.375726e-35 --9.9592e-34 -5.920063e-34 --9.688691e-34 --4.2172972e-35 --7.904404e-34 --2.8465138e-34 -2.4304907e-35 -7.8776195e-34 --3.0999963e-34 --9.30176e-34 --1.210671e-33 --1.1609639e-33 -1.1085955e-05 -6.660949e-34 -1.1546793e-33 --7.850378e-34 --6.080013e-34 --6.2472015e-35 -6.6903904e-35 -3.4706558e-34 -2.7900783e-34 -0.12412378 -2.802434e-34 -0.05688657 -0.037143044 -2.1940106e-34 --4.545254e-35 -1.0544146e-34 --0.1556321 -6.975864e-34 --0.1290078 -4.615184e-34 -7.0186945e-34 --3.0627388e-34 --1.9204568e-34 --0.1312326 -5.660848e-34 -0.025963223 --2.8846884e-34 -0.15273672 -0.008774259 -7.252814e-35 --5.5761333e-34 --4.87952e-34 --0.16720568 -9.307046e-34 --0.20246395 --3.3188974e-34 -1.4465631e-34 --9.172878e-34 --7.484579e-34 --0.11276756 --9.089832e-34 -1.0247689e-33 --3.3845045e-34 -1.2797284e-33 -1.0590824e-33 -1.0321283e-33 --0.0013671268 --3.2375259e-34 -1.9197329e-34 -4.4668896e-34 --5.065393e-12 --9.119883e-34 --1.1321438e-33 --1.3218898e-34 -6.3567268e-34 --6.2648853e-34 -3.7685026e-34 --1.5880635e-34 -4.2663943e-34 --1.0759212e-33 --2.4605742e-34 --2.3768367e-34 --4.190314e-34 -5.412828e-34 -2.8207162e-34 -1.0203915e-33 -1.11094915e-33 --3.5023762e-35 --1.0591204e-34 --1.0881581e-33 --4.779413e-34 --8.724706e-34 -5.635265e-34 -6.591555e-34 --2.7853798e-34 -0.00025408895 -3.5037446e-34 --9.996698e-34 -9.969647e-34 -1.1107209e-34 --2.1537114e-34 -7.1640613e-34 -1.0853839e-33 -7.445428e-34 --8.9778445e-34 -7.842241e-34 --9.5908906e-35 -8.883563e-34 -9.733832e-34 --0.032585304 --5.018097e-34 -0.18200597 --0.01009227 --1.1931738e-33 --7.109125e-34 --8.29907e-34 -0.26011452 --3.854398e-34 --0.008425697 -1.5067456e-34 -6.5787676e-34 -1.1065932e-33 -4.482027e-34 --0.17193288 --6.537651e-34 --0.0115671 -3.0170624e-34 -0.019706042 -0.11819279 --8.409957e-34 -6.1048886e-34 --1.14062e-33 --0.18165557 --3.1556993e-34 -0.06388388 -6.981048e-34 --9.40459e-34 --4.829684e-35 -2.9283288e-34 --0.08061339 --8.804039e-34 -2.1470438e-12 -7.315799e-36 --6.7243126e-34 -1.2537823e-34 --8.653025e-34 --1.2088901e-33 -5.4538704e-34 --3.4670338e-06 --3.9301125e-34 --6.618474e-34 --7.0500154e-34 -7.739598e-34 -9.028267e-34 --9.629824e-34 -6.8412605e-34 --3.2695664e-35 -1.3585606e-10 -5.95794e-34 -2.2500642e-11 --3.089199e-11 -4.2793835e-34 --4.3601877e-34 --9.854214e-34 --1.1886488e-21 --6.862375e-34 -5.344303e-18 -4.319402e-34 -4.5932717e-35 --2.4048814e-34 -3.6884402e-34 -7.494257e-13 -9.6010035e-34 --1.301322e-05 -9.956961e-34 -7.098831e-13 --1.0810098e-33 --2.446494e-34 -9.433489e-34 -9.450137e-34 -9.917631e-34 -1.0160946e-33 -2.558191e-07 --8.404741e-34 --9.431448e-35 --8.333375e-34 -3.169558e-34 -5.878177e-34 -1.0977198e-34 -4.8090447e-34 --2.8311207e-35 -4.472725e-34 --9.396787e-34 --8.585135e-34 -3.103305e-34 --6.9281626e-34 -1.4323399e-33 -4.0973876e-35 -9.241208e-34 --1.3291855e-34 --2.1154375e-34 -5.724419e-35 --1.1000915e-33 --4.6148108e-09 --2.9199606e-34 --1.7045163e-34 --1.1718e-33 -4.5449644e-34 --1.2322913e-33 --9.459789e-34 --4.3982652e-08 -6.608285e-34 --3.3946307e-07 --5.634275e-34 --5.9807683e-35 --1.0968621e-33 -6.571375e-34 --9.3324315e-34 --9.019988e-34 --1.30753175e-33 -4.3553976e-34 --1.9179954e-34 -5.1815387e-34 -1.3070105e-33 --5.289989e-34 --4.945967e-34 --3.793059e-11 --2.776209e-34 -1.0603723e-33 --2.4555575e-12 -9.539659e-34 --9.201432e-34 --1.02337635e-11 --2.3839485e-34 -3.127535e-34 --3.5457318e-34 -1.0761486e-33 -6.661262e-34 -1.1701374e-33 --1.3974912e-09 -4.770118e-34 -1.1702037e-33 --1.0088796e-33 -5.0012096e-34 --0.00022818621 -6.8212697e-34 -5.918614e-11 --6.1444963e-34 --2.404763e-35 --8.644604e-34 -2.1655751e-35 --6.020059e-34 --1.1239306e-33 --1.0739739e-34 -1.2038403e-33 --8.059101e-34 -4.470697e-34 --1.2027482e-33 -9.77547e-34 --1.0601166e-33 --1.3010724e-33 --8.040359e-34 --2.2524878e-34 -7.2322767e-34 -8.841892e-34 --7.052459e-34 -9.243593e-34 -4.4454258e-35 --5.5704446e-34 --3.2957923e-35 --8.887346e-34 -3.1631157e-07 --9.428846e-34 --6.4878766e-34 -1.1174966e-06 -3.4345227e-34 -3.6785906e-08 -5.220602e-34 -1.09503105e-07 --5.521628e-34 -7.2651557e-34 --7.7011686e-34 -1.1202081e-33 --8.257233e-34 -5.979934e-35 -0.20745844 -8.8589525e-34 -0.23057915 --0.030725783 --4.2912982e-35 -7.999422e-34 -3.2198664e-34 --0.13710664 --1.161338e-33 --0.13315488 --9.2397e-34 -7.4694093e-34 -5.923229e-35 -6.2003608e-34 --0.057372864 -2.3827927e-34 --0.12174924 -6.956285e-34 -0.30031174 --0.07061811 -9.374449e-34 --6.8845742e-34 --4.3220824e-34 --0.03737855 -6.8085753e-34 --0.09761658 --4.433728e-34 -3.57691e-34 --6.707763e-34 --3.7005655e-34 --0.07959908 -3.173437e-34 -8.01515e-34 -3.3166458e-34 --0.00017572363 -3.9681337e-34 -3.733073e-34 -6.052018e-34 --9.94794e-34 -9.118617e-13 --7.295637e-34 --9.1573655e-34 --2.3636138e-34 --1.1432897e-33 -8.2464005e-35 -1.0868105e-34 --9.0326455e-34 --9.1188974e-35 -1.077558e-33 --3.4666504e-34 -5.222207e-34 --9.456e-34 -6.6236177e-13 --1.1394033e-10 --6.3341366e-34 -6.9207083e-34 -8.608953e-34 --9.685226e-10 --3.4806195e-34 --7.2896317e-34 --7.3476625e-34 -3.4774943e-34 -5.9919056e-11 -4.493855e-34 -3.9013575e-09 -8.993179e-34 -9.577781e-34 -2.6942918e-34 -9.575941e-34 --1.2505996e-33 --6.759258e-34 -1.0765133e-33 --2.3764747e-34 -0.00031507097 --1.0615048e-33 -3.45931e-34 -4.0870038e-34 -6.6455894e-34 -5.9004906e-06 -1.1769577e-33 --0.08667897 --6.0546674e-34 -0.20222501 --0.10878939 -4.6122853e-34 --4.209e-34 -4.847382e-34 --0.019811375 --4.76481e-34 --0.0025160406 -5.5825274e-34 -6.6116414e-34 -1.1329049e-33 --7.6316335e-34 --0.08578259 --1.1836792e-33 -0.0015433193 -5.5964726e-34 -0.13048847 --0.014686797 --3.7539118e-34 -6.063246e-34 -1.6475233e-34 --0.15026817 -7.607243e-34 --0.04612814 -3.1115806e-34 --5.53684e-34 --9.745331e-34 -3.961031e-34 --0.05924889 -1.1999545e-33 --1.731944e-34 --5.6695015e-34 -4.771956e-34 -5.522737e-34 -1.7178785e-34 --7.726856e-12 --2.0794238e-34 -1.0917933e-11 --1.7248566e-34 -0.0007818909 --5.3940956e-34 --3.109999e-34 -1.6407018e-34 --6.5391584e-34 --3.985271e-34 --5.0886847e-34 -4.944105e-10 -5.9613327e-34 --2.473448e-10 -2.8479382e-11 -7.84882e-34 -3.2645516e-05 -5.494118e-35 --1.7022072e-24 --3.737572e-34 --1.1888723e-10 -9.618002e-34 --2.5227606e-34 -6.202103e-34 --1.1348443e-33 --2.1847595e-22 --4.3401576e-35 --2.481351e-34 -8.038064e-34 -1.1872669e-33 --1.23739735e-33 --8.0790735e-34 -3.0038905e-08 --8.589475e-34 -2.6115076e-34 --5.601331e-34 -5.6203177e-34 -8.87548e-34 --7.733809e-34 -5.637533e-34 -1.051638e-34 -9.787504e-34 -1.1282771e-35 --2.4656924e-07 -9.4158016e-35 --1.4899832e-33 -8.821675e-34 -5.4972287e-34 -1.3425262e-33 --4.8966567e-34 --1.593553e-33 -8.162533e-34 --2.0219935e-34 --3.0711647e-34 --8.489361e-34 -1.1218562e-33 --8.717472e-34 --1.8529464e-34 --9.190699e-34 --1.2004971e-33 --7.766076e-34 -1.0300343e-33 --9.853758e-34 -1.7997884e-34 --1.435161e-34 --1.1685297e-33 --1.7227898e-34 --1.1883653e-33 --1.3149021e-33 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diff --git a/tools/para/fc2_b b/tools/para/fc2_b index 086e1cc..9a358e5 100644 --- a/tools/para/fc2_b +++ b/tools/para/fc2_b @@ -1,12 +1,16 @@ -11 -3.028916 -1.399315 -12.311913 -1.9181013 --6.701019 -4.332221 --1.2238123 -3.367433 --12.5565 --5.421737 -0.19371712 +15 +3.3147552 +0.06590654 +-0.37396204 +-0.22522521 +-0.9601034 +-0.9866448 +-0.091494516 +0.08088531 +-0.87962383 +-0.5273214 +-0.18194006 +-0.035499398 +-1.7873636 +0.48932117 +0.20472674 diff --git a/tools/para/fc2_w b/tools/para/fc2_w index 950cb53..036d67c 100644 --- a/tools/para/fc2_w +++ b/tools/para/fc2_w @@ -1,178 +1,242 @@ 16 -11 --6.6445126e-34 --3.249375e-34 -1.1159086e-33 -3.8638357e-34 -1.1999902e-33 --4.773489e-34 -6.573301e-35 --2.7309886e-34 --3.5826868e-34 --2.058676e-35 -2.9253375e-34 --0.028950384 -0.6513481 --0.090478554 --0.20445836 --0.033577178 -0.07797232 -0.54864347 --0.29817155 --0.0972982 --0.06013593 --0.12082546 -3.2078713e-35 -9.031606e-34 -2.9989992e-34 --1.8143521e-34 --4.3935644e-34 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