plateform
stringclasses
1 value
repo_name
stringlengths
13
113
name
stringlengths
3
74
ext
stringclasses
1 value
path
stringlengths
12
229
size
int64
23
843k
source_encoding
stringclasses
9 values
md5
stringlengths
32
32
text
stringlengths
23
843k
github
HelmchenLabSoftware/OCIA-master
wt_rotate_coords.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_rotate_coords.m
5,599
utf_8
9e4a334eb51adfbc44014d732fd60204
% WT_ROTATE_COORDS % % Transform coordinates of objects or whiskers between absolute and % relative framework. A note on transformations: % Absolute coordinates are in the framework of the actual image % Relative coordinates are with respect to head position in the image % % Syntax: wt_rotate_coords(COORDS, DIR, RE, LE, NO, S, F, DEB, RAD, HOR), where % COORDS are pair-wise [X Y] coordinates to be transformed. Any % number of such pairs may be passed arranged along rows. % DIR is the transform to be performed: % 'rel2abs' for a relative to absolute transformation % 'abs2rel' for an absolute to relative transformation % RY are right-eye coordinates across frames arranged across rows % LY are right-eye coordinates across frames arranged across rows % N are nose coordinates across frames arranged across rows % S is the side on the face of the whisker: % 1 = right % 2 = left % % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, IN PRESS % function vNewCoords = wt_rotate_coords(vCoords, sDirection, vRightEye, vLeftEye, vNose, nSide, ... vImCropSize, nRadExt, nHorExt) % Return immediately if object position is not given for current whiskers if sum(vCoords) == 0, return; end % Current frame head coordinates mHead = [vLeftEye; vRightEye; vNose]; % Initialize output matrix vNewCoords = repmat(NaN, size(vCoords)); % Iterate over pairs of [X Y] coordinates for i = 1:size(vCoords,1) switch sDirection case 'rel2abs' vNewCoords(i,:) = TransformRelToAbs(vCoords(i,:), nSide, mHead, vImCropSize, nRadExt, nHorExt); case 'abs2rel' vNewCoords(i,:) = TransformAbsToRel(vCoords(i,:), nSide, mHead, vImCropSize, nRadExt, nHorExt); end end return; %%%% TransformRelToAbs %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Transform relative to absolute coordinates function mCoordsNew = TransformRelToAbs(mCoords, nSide, mHead, vImCropSize, nRadExt, nHorExt) % Relative to absolute transformation: % nA = angle between nose-eye and nose-object axis (in relative framework) % nB = angle of eye relative to nose (in absolute framework) % nC = unknown angle of object relative to nose (in absolute framework) % Solution: nC = nA - nB % From nC we derive the position of the object in the absolute framework. vNoseAbs = mHead(3,:); vNoseRel = [1 vImCropSize(2)-nHorExt+6]; if nSide == 1, vEyeAbs = [mHead(2,1) mHead(2,2)]; else vEyeAbs = [mHead(1,1) mHead(1,2)]; end vObjRel = mCoords - repmat(vNoseRel,size(mCoords,1),1); % note: object relative to nose! nA = abs(-deg2rad(90)-(atan(vObjRel(:,2)./vObjRel(:,1)))); vEyeRel = vEyeAbs - vNoseAbs; % note: eye relative to nose! nB = abs(atan(vEyeRel(2)/vEyeRel(1))); nC = nA - nB; % Now get position of object in absolute framework and we're done... nR = sqrt(sum(vObjRel'.^2))';% distance of object from nose nXRel = nR .* cos(nC); % object x position relative to nose nYRel = nR .* sin(nC); % object y position relative to nose if nSide == 1 mCoordsNew = [ ... repmat(vNoseAbs(1),size(mCoords,1),1) - nXRel ... repmat(vNoseAbs(2),size(mCoords,1),1) + nYRel ]; elseif nSide == 2 mCoordsNew = repmat(vNoseAbs,size(mCoords,1),1) + [nXRel nYRel]; end return; %%%% TransformRelToAbs %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Transform absolute to relative coordinates function vNewCoords = TransformAbsToRel(vCoords, nSide, mHead, vImCropSize, nRadExt, nHorExt) % 1. Find angle between nose-eye and nose-object axis % 2. Find distance from nose to object % Object position relative to nose, and angle vObjRelNose = [vCoords(1)-mHead(3,1) vCoords(2)-mHead(3,2)]; nLenNose2Obj = sqrt(sum([vObjRelNose.^2])); nNoseObjAng = rad2deg(atan2(vObjRelNose(2),vObjRelNose(1))); % Eye position relative to nose, and angle if nSide == 1, vEyeRelNose = [mHead(2,1)-mHead(3,1) mHead(2,2)-mHead(3,2)]; else, vEyeRelNose = [mHead(1,1)-mHead(3,1) mHead(1,2)-mHead(3,2)]; end nNoseEyeAng = rad2deg(atan2(vEyeRelNose(2),vEyeRelNose(1))); % Get new angle of object relative to nose if nSide == 2 nNewNoseObjAng = nNoseObjAng - (90 - abs(nNoseEyeAng)); else nNewNoseObjAng = -180 - (nNoseObjAng - (90 - abs(nNoseEyeAng))); end % Calculate object position relative to nose nX = nLenNose2Obj * cos(deg2rad(nNewNoseObjAng)); nY = nLenNose2Obj * sin(deg2rad(nNewNoseObjAng)); vRelObjPos = [nX nY]; % Calculate real position in frame % IMPORTANT: The code below compensates for the fact that both left and % right frame are shown in the WT GUI in the same axis. Therefore, to % obtain true relative position for left-side the cut-out section's width % (effectively g_tWT.MovieInfo.RadExt) must be subtracted from the object's X % coordinate. if nSide == 2 vNose = [nRadExt+2 vImCropSize(2) - nHorExt+6]; vNewCoords = [vNose(1)+vRelObjPos(1) vNose(2)+vRelObjPos(2)]; else vNose = [1 vImCropSize(2)-nHorExt+6]; vNewCoords = [vNose(1)+vRelObjPos(1) vNose(2)+vRelObjPos(2)]; end %figure(444); clf; hold on; grid on %plot(vCoords(1),vCoords(2),'r*') %plot(mHead(:,1),mHead(:,2),'g*') return;
github
HelmchenLabSoftware/OCIA-master
wt_extrapolate_position.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_extrapolate_position.m
4,880
utf_8
86fd722243d9611965ccc5bd115194d2
function mImgFilter = wt_extrapolate_position(mW0, mImg, mWA) % WT_EXTRAPOLATE_POSITION % Create an image-mask that will 'highlight' the likely position of the % whisker in current frame, based on velocity information in previos % frames. % % 1 - Linear interpolation of whisker shape in the X preceeding frames % 2 - Select end-points and mid-point (half-way along the interpolated whisker) % 3 - Filter trajectory of all three points % 4 - Cubic extrapolation of new position % 5 - Generate scaled gaussian filter % 6 - Show debug window that contains: filtered velocity and extrapolated % position % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, 2005 global g_tWT nX = 20; % use 10 frames back bDebug = g_tWT.VerboseMode; % Return immediately if fewer than X frames have already been processed if length(find(mWA(2,1,:))) < nX + 1 % check tracked frames in 2nd X value mImgFilter = ones(size(mImg)); return; end % Resize whisker-coordinates to fit image mW0 = mW0;% * g_tWT.MovieInfo.ResizeFactor; mWA = mWA;% * g_tWT.MovieInfo.ResizeFactor; % Linear extrapolation of whisker shape in X preceeding frames mXX = []; mYY = []; for f = size(mWA, 3)-nX:size(mWA, 3) if isempty(find(mWA(:,1,f))), continue, end vX = mWA(find(mWA(:,1,f)),1,f); vY = mWA(find(mWA(:,1,f)),2,f); vXX = [vX(1) vX(1)+(vX(end)-vX(1))/2 vX(end)]; mYY = [mYY; spline(vX(find(vX)), vY(find(vX)), vXX)]; mXX = [mXX; vXX]; end % Filter whisker trajectory persistent A B; nFilterOrder = 4; if isempty(A) nFreq = 1/4; [B,A] = butter(nFilterOrder, nFreq); end if size(mYY, 1) > 3*nFilterOrder mYY = filtfilt(B, A, mYY); end % Cubic extrapolation of new position vNewY = interp1(1:size(mYY,1), mYY, size(mYY,1)+1, 'cubic', 'extrap'); vNewXX = mXX(end,1):mXX(end,end); [vXX, vNewYY] = wt_spline(mXX(end,:), vNewY, mXX(end,1):mXX(end,end)); [C,IA,IB] = intersect(round(mXX(end,:)), vNewXX); vNewX = C; vNewY = vNewYY(IB); % Generate scales gaussian filter centered on whisker location, with spread % scaled according to new whisker position limits. vJit = g_tWT.MovieInfo.HorJitter; vJit = [vJit(1) vJit(1)+vJit(2) vJit(1)+vJit(2)+vJit(3)]; [vXX, vNewYYUpLim] = wt_spline(vNewX, vNewY+vJit, vNewXX); [vXX, vNewYYDownLim] = wt_spline(vNewX, vNewY-vJit, vNewXX); mImgFilter = zeros(size(mImg)); nMaxHw = round(max(abs((vNewYY - vNewYYUpLim))) * g_tWT.MovieInfo.ExtrapFiltHw) + 10; mImgFilter = wt_zeropad(mImgFilter, nMaxHw, 0); % zeropad image nAlpha = 2; % used to characterize the gaussion ('sharpness') for x = 1:length(vNewXX) nHw = abs((vNewYY(x) - vNewYYUpLim(x))) * g_tWT.MovieInfo.ExtrapFiltHw; vFG = gausswin(nHw*2+1, nAlpha)'; vYIndx = (round(vNewYY(x)-nHw):round(vNewYY(x)+nHw)) + nMaxHw; vYIndx = vYIndx(find(vYIndx > 0)); if length(vYIndx) == 1, break, end vFG = interp1(linspace(vYIndx(1),vYIndx(end),length(vFG)), vFG, vYIndx, 'nearest'); if vNewXX(x) == size(mImg, 2), break; else, mImgFilter(vYIndx, vNewXX(x)) = vFG'; end end mImgFilter = mImgFilter(nMaxHw+1:(size(mImg,1)+nMaxHw), :); % remove zeropad mImgFilter = mImgFilter / max(mImgFilter(:)); % normalize to max % Debug if bDebug hFig = findobj('Tag', 'EXTRAPOLATE_POSITION_WINDOW'); if isempty(hFig) hFig = figure; set(hFig, 'Tag', 'EXTRAPOLATE_POSITION_WINDOW', 'DoubleBuffer', 'on', 'Name', 'WT - EXTRAPOLATE_POSITION_WINDOW', 'numbertitle', 'off') else, figure(hFig), end subplot(2,1,1); plot(mYY); hold on plot(repmat([size(mYY,1) size(mYY,1)+1],3,1)', [mYY(end,:); vNewY]) plot(repmat(size(mYY,1),3,1), mYY(end,:)); grid on title('Extrapolation of new whisker location (Y axis)') subplot(2,2,3); title('Whisker and generated filter') plot(mXX(end,:), mYY(end,:), 'g'); hold on plot(vNewXX, vNewYY, 'b'); plot(vNewX, vNewY, 'bo') plot(vNewXX, vNewYYUpLim, 'r') plot(vNewXX, vNewYYDownLim, 'r') grid on title('Whisker and limits') subplot(2,2,4) imagesc(mImgFilter.*mImg); hold on plot(mXX(end,:), mYY(end,:), 'g'); hold on plot(vNewXX, vNewYY, 'b'); plot(vNewXX, vNewYYUpLim, 'r') plot(vNewXX, vNewYYDownLim, 'r') title('Filter * Image') truesize; colormap gray end return; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function w = gausswin(N, a) % Index vector k = -(N-1)/2:(N-1)/2; % Equation 44a from [1] w = exp((-1/2)*(a * k/(N/2)).^2)'; return;
github
HelmchenLabSoftware/OCIA-master
wt_calibration.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_calibration.m
4,876
utf_8
a143e384f49f955761952d3ab551c926
function wt_calibration(sOption) % WT_CALIBRATION Calibrate and measure image regions % % wt_calibration('calibrate') % wt_calibration('measure') % wt_calibration('recalculate') global g_tWT switch lower(sOption) case 'calibrate' Calibrate wt_display_frame case 'calibrate-import-image' CalibrateWithImportedImage wt_display_frame case 'measure' Measure case 'recalculate' RecalculatePixelsPerMM otherwise Calibrate wt_display_frame end return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function Calibrate global g_tWT % Get distance between locations if ~isempty(g_tWT.MovieInfo.EyeNoseAxLen) g_tWT.DisplayMode = 0; % go to absolute view end wt_display_frame hLine = []; try for i = 1:2 [vX(i) vY(i)] = ginput(1); % press of return will provide no input hLine(end+1) = plot(vX(i), vY(i), 'r.'); end catch, return, end hLine(end+1) = plot(vX, vY, 'r:', 'LineWidth', 1); nL = round(sqrt(sum([diff(vX).^2 diff(vY).^2]))); % Ask how much the distance corresponds to in millimeters % Control that input is a number cAns = []; sMsg = 'Enter distance in millimeters corresponding to %d pixels.'; while length(str2num(char(cAns))) ~= 1 cAns = inputdlg(sprintf(sMsg, nL), 'WT Calibrate', 1); sMsg = 'Invalid entry (must be a number; do not use comma).\nEnter distance in millimeters corresponding to %d pixels.'; end delete(hLine) g_tWT.MovieInfo.CalibCoords = round([vX' vY']); g_tWT.MovieInfo.CalBarLength = str2num(cAns{1}); RecalculatePixelsPerMM; return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function CalibrateWithImportedImage global g_tWT [sFilename, sFilepath] = uigetfile({'*.bmp';'*.tiff';'*.gif';'*.jpg';'*.png';'*.*'}, 'Select image file'); % select image file if ~sFilename return; end % return if user cancelled dialog mImg = imread([sFilepath sFilename]); % Load image wt_display_frame; cla % refresh and clear display imagesc(wt_image_preprocess(mImg)) % Display image hLine = []; try for i = 1:2 [vX(i) vY(i)] = ginput(1); % press of return will provide no input hLine(end+1) = plot(vX(i), vY(i), 'r.'); end catch, return, end hLine(end+1) = plot(vX, vY, 'r:', 'LineWidth', 1); nL = round(sqrt(sum([diff(vX).^2 diff(vY).^2]))); % Ask how much the distance corresponds to in millimeters % Control that input is a number cAns = []; sMsg = 'Enter distance in millimeters corresponding to %d pixels.'; while length(str2num(char(cAns))) ~= 1 cAns = inputdlg(sprintf(sMsg, nL), 'WT Calibrate', 1); sMsg = 'Invalid entry (must be a number; do not use comma).\nEnter distance in millimeters corresponding to %d pixels.'; end delete(hLine) g_tWT.MovieInfo.CalibCoords = round([vX' vY']); g_tWT.MovieInfo.CalBarLength = str2num(cAns{1}); RecalculatePixelsPerMM; return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function Measure global g_tWT if ~isfield(g_tWT.MovieInfo, 'PixelsPerMM') % create field if it does not exist g_tWT.MovieInfo.PixelsPerMM = []; end if isempty(g_tWT.MovieInfo.PixelsPerMM) % check image has been calibrated sUnit = 'pix'; nPixPerMM = 1; else sUnit = 'mm'; nPixPerMM = g_tWT.MovieInfo.PixelsPerMM; end hLin = []; try for i = 1:2 [vX(i) vY(i)] = ginput(1); % press of return will provide no input if isempty(hLin) hLin = plot(vX(i), vY(i), 'rx-'); else set(hLin, 'XData', vX, 'YData', vY) end end catch % in case user pressed Return delete(hLin) end nDistMM = sqrt(diff(vX)^2 + diff(vY)^2) / nPixPerMM; hTxt = text(mean(vX), mean(vY), sprintf('%.1f%s', nDistMM, sUnit), ... 'Color', 'w', 'BackgroundColor', 'k', 'FontSize', 8, ... 'HorizontalAlignment', 'center'); set([hLin hTxt], 'UserData', {hLin, hTxt}) % store handles hCntxtMenu = uicontextmenu; set([hLin hTxt], 'uicontextmenu', hCntxtMenu) uimenu(hCntxtMenu, 'Label', 'Remove', 'Callback', 'vU=get(gco, ''UserData'');delete(vU{1}),delete(vU{2})') return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function RecalculatePixelsPerMM global g_tWT if sum(sum(g_tWT.MovieInfo.CalibCoords)) == 0, return; end vX = g_tWT.MovieInfo.CalibCoords(:,1); vY = g_tWT.MovieInfo.CalibCoords(:,2); % Store pixels per millimeter nL = round(sqrt(sum([diff(vX).^2 diff(vY).^2]))); g_tWT.MovieInfo.PixelsPerMM = nL / g_tWT.MovieInfo.CalBarLength; return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
github
HelmchenLabSoftware/OCIA-master
wt_get_build_number.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_get_build_number.m
511
utf_8
4cd3f5ac2ca28358b6203bad67c583ad
% wt_get_build_number function sBuild = wt_get_build_number % Set paths sWT_dir = which('wt'); sWT_dir = sWT_dir(1:findstr(sWT_dir, 'wt.m')-1); % Get build number from SVN entries files sBuild = 'Unknown'; if ispc, sSVNPath = [sWT_dir '.svn\' 'entries']; else, sSVNPath = [sWT_dir '.svn/' 'entries']; end if exist(sSVNPath) fid = fopen(sSVNPath); for i = 1:5 sLine = fgetl(fid); if strcmp(sLine, 'dir') sBuild = fgetl(fid); end end fclose(fid); end return
github
HelmchenLabSoftware/OCIA-master
wt_dump_screen.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_dump_screen.m
1,849
utf_8
375701158967ce6a3ae8cf1288e6e117
%%%% WT_DUMP_SCREEN ***************************************** % % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, IN PRESS % function wt_dump_screen global g_tWT hFrameWin = findobj('Tag', 'WTMainWindow'); sAnswer = questdlg('Select where to dump the screen', ... 'Dump screen', ... 'Copy to clipboard', 'Save to disk', 'Send to printer', ... 'Copy to clipboard'); % Hide slider and text elements set(g_tWT.Handles.hSlider, 'visible', 'off') hText = findobj('tag','antpost'); set(hText, 'visible', 'off') set(findobj('tag','gotoframe'), 'visible', 'off') set(findobj('tag','movieandframe'), 'visible', 'off') switch sAnswer case 'Copy to clipboard' % copy to clipboard print(hFrameWin, '-dbitmap') case 'Save to disk' % save to disk [sFilename sFilepath, nFilterIndx] = uiputfile({'*.tif';'*.eps'}, 'Select output file'); if nFilterIndx == 1 % save as TIDD print(hFrameWin, '-dtiff', sprintf('%s%s', sFilepath, sFilename)); elseif nFilterIndx == 2 % save as color EPS print(hFrameWin, '-depsc', sprintf('%s%s', sFilepath, sFilename)); end case 'Send to printer' % send to printer print(hFrameWin, '-v') end % Turn back on slider set(g_tWT.Handles.hSlider, 'visible', 'on') set(hText, 'visible', 'on') set(findobj('tag','gotoframe'), 'visible', 'on') set(findobj('tag','movieandframe'), 'visible', 'on') return;
github
HelmchenLabSoftware/OCIA-master
wt_prep_gui.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_prep_gui.m
20,021
utf_8
00b3b9f97fec08f4c6ae1e7479c20136
function wt_prep_gui % WT_PREP_GUI global g_tWT hFrameWin = findobj('Tag', 'WTMainWindow'); set(hFrameWin, 'color', [.8 .8 .8]) figure(hFrameWin); clf; g_tWT.Handles.hSlider = []; set(hFrameWin, 'NumberTitle', 'off', 'Name', ['WhiskerTracker (Revision ' wt_get_build_number ')'], ... 'resizeFcn', ['wt_resize_slider']) g_tWT.FrameAx = axes; set(g_tWT.FrameAx, 'Visible', 'off', ... 'buttondownfcn', ['global g_tWT; g_sLastBtnPress = get(gcf,''selectiontype'')'], ... 'DrawMode', 'fast', ... 'Position', [.03 .06 .94 .9] ); % Create toolbar sPath = which('wt'); sPath = [sPath(1:end-4) 'icons/']; hToolbar = uitoolbar('Parent', g_tWT.WTWindow, 'Tag', 'WT_Toolbar'); mCData = im2double(imread([sPath 'tool_open.png'])); mCData(mCData == 0) = NaN; % open uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'WT_Toolbar_Open', 'TooltipString', 'Open file', 'ClickedCallback', ['wt_select_file']); mCData = im2double(imread([sPath 'tool_save.png'])); mCData(mCData == 0) = NaN; % save uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'WT_Toolbar_Save', 'TooltipString', 'Save', 'ClickedCallback', ['wt_save_data']); mCData = im2double(imread([sPath 'tool_zoom_in.png'])); mCData(mCData == 0) = NaN; % zoom in uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_ZoomOut', 'TooltipString', 'Zoom in', 'ClickedCallback', ['zoom on'], 'separator', 'on'); [mCData, mCM] = imread([sPath 'tools_table.gif']); mCData = ind2rgb(mCData, mCM); mCData(mCData == 1) = NaN; % parameters uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_EditParameters', 'TooltipString', 'Edit Parameters', 'ClickedCallback', ['wt_set_parameters']); mCData = im2double(imread([sPath 'tool_rotate_3d.png'])); mCData(mCData == 0) = NaN; % zoom in mCData_orig = mCData; for i = 1:3, mCData(:,:,i) = fliplr(mCData(:,:,i)); end uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_RotateClockwise', 'TooltipString', 'Rotate Clockwise', 'ClickedCallback', ['wt_rotate_frame(1); wt_batch_redo(''wt_rotate_frame(1)'')'], 'separator', 'on'); uipushtool('Parent', hToolbar, 'cdata', mCData_orig, 'Tag', 'Spiky_WaitbarAction_RotateAntiClockwise', 'TooltipString', 'Rotate Anti-Clockwise', 'ClickedCallback', ['wt_rotate_frame(-1); wt_batch_redo(''wt_rotate_frame(-1)'')']); mCData = im2double(imread([sPath 'tool_plottools_show.png'])); mCData(mCData == 0) = NaN; % zoom in uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_PanRight', 'TooltipString', 'Auto-resize window', 'ClickedCallback', ['wt_autosize_window']); [mCData, mCM] = imread([sPath 'right.gif']); mCData = ind2rgb(mCData, mCM); mCData(mCData == 1) = NaN; % Start tracking uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_PanRight', 'TooltipString', 'Track SLOW', 'ClickedCallback', ['global g_tWT;g_tWT.StopProc=0;wt_track_auto(''slow'')'], 'separator', 'on'); [mCData, mCM] = imread([sPath 'right_double.gif']); mCData = ind2rgb(mCData, mCM); mCData(mCData == 1) = NaN; % Start tracking uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_PanRight', 'TooltipString', 'Track FAST', 'ClickedCallback', ['global g_tWT;g_tWT.StopProc=0;wt_track_auto(''fast'')']); mCData = im2double(imread([sPath 'cancel.png'])); mCData(mCData == 0) = NaN; % zoom in uipushtool('Parent', hToolbar, 'cdata', mCData, 'Tag', 'Spiky_WaitbarAction_CancelTracking', 'TooltipString', 'Cancel Tracking', 'ClickedCallback', ['global g_tWT; g_tWT.StopProc = 1;']); % Menu hFile = uimenu(hFrameWin, 'Label', 'File'); uimenu(hFrameWin, 'Label','Open...', 'Parent', hFile, 'Callback', ['wt_select_file'], 'accelerator', 'O'); uimenu(hFrameWin, 'Label','Open Directory...', 'Parent', hFile, 'Callback', ['wt_select_directory'], 'accelerator', 'D'); uimenu(hFrameWin, 'Label','Open Directory Tree...', 'Parent', hFile, 'Callback', ['wt_select_directory_tree'], 'accelerator', 'T'); uimenu(hFrameWin, 'Label','Open Selection...', 'Parent', hFile, 'Callback', ['wt_select_batchfile']); % Produce list of loaded movies if ~isempty(g_tWT.Movies) uimenu(hFrameWin, 'Label','Load Data...', 'Parent', hFile, 'Callback', ['wt_load_data(''deffile'')'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Save', 'Parent', hFile, 'Callback', ['wt_save_data'], 'accelerator', 'S'); uimenu(hFrameWin, 'Label','Save As...', 'Parent', hFile, 'Callback', ['wt_save_data(''defpath'')']); hMovies = uimenu(hFrameWin, 'Label', 'Movies', 'Parent', hFile, 'Separator', 'on'); uimenu(hFrameWin, 'Label','Next Movie', 'Parent', hMovies, 'Callback', ['wt_load_movie'], 'accelerator', 'N'); for m = 1:size(g_tWT.Movies,2) % Menu item label; limit to 50 chars long sLabel = sprintf('%s', g_tWT.Movies(m).filename); if length(sLabel) > 50 sLabel = ['..' sLabel(end-47:end)]; end if m == 1 hCurrFile = uimenu(hFrameWin, 'Label', sLabel, 'Parent', hMovies, 'Callback', [sprintf('wt_load_movie(%d)', m)], 'Separator', 'on'); else hCurrFile = uimenu(hFrameWin, 'Label', sLabel, 'Parent', hMovies, 'Callback', [sprintf('wt_load_movie(%d)', m)]); end % Tick off to indicate if movie already has an associated .mat file if exist(sprintf('%smat', g_tWT.Movies(m).filename(1:findstr('.avi', g_tWT.Movies(m).filename))), 'file') ... | exist(sprintf('%smat.gz', g_tWT.Movies(m).filename(1:findstr('.avi', g_tWT.Movies(m).filename))), 'file') set(hCurrFile, 'checked', 'on') end end % Whisker markers etc hMarkers = uimenu(hFrameWin, 'Label', 'Whiskers'); uimenu(hFrameWin, 'Label','New...', 'Parent', hMarkers, 'Callback', ['wt_mark_whisker'], 'accelerator', 'W'); uimenu(hFrameWin, 'Label','Paste (B)', 'Parent', hMarkers, 'Callback', ['wt_copy_paste_whisker(''paste'', NaN); wt_batch_redo(''wt_copy_paste_whisker(''''paste'''', NaN)'');'], 'accelerator', 'W'); uimenu(hFrameWin, 'Label','Delete...', 'Parent', hMarkers, 'Callback', ['wt_clear_selected_whisker']); uimenu(hFrameWin, 'Label','Delete All (B)', 'Parent', hMarkers, 'Callback', ['wt_clear_whisker(''all''); wt_batch_redo(''wt_clear_whisker(''''all'''')'')']); uimenu(hFrameWin, 'Label','Set Last Frame...', 'Parent', hMarkers, 'Callback', ['wt_set_last_frame'], 'Separator', 'on'); uimenu(hFrameWin, 'Label', 'Whisker Display Width...', 'Parent', hMarkers, 'Callback', 'wt_change_whisker_width') uimenu(hFrameWin, 'Label', 'Show Whisker Identities', 'Parent', hMarkers, 'Callback', 'wt_toggle_show_identity') uimenu(hFrameWin, 'Label','Track Labels (B)', 'Parent', hMarkers, 'Callback', ['wt_track_whisker_label(0,''continue-all'',0); wt_batch_redo(''wt_track_whisker_label(0,''''continue-all'''',0)'')'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Labelling Filter...', 'Parent', hMarkers, 'Callback', ['global g_tWT; g_tWT.LabelFilter=wt_create_filter(g_tWT.LabelFilter);']); uimenu(hFrameWin, 'Label','Mark Whisker and Label...', 'Parent', hMarkers, 'Callback', ['wt_mark_whisker_and_label;']); uimenu(hFrameWin, 'Label','Clear Labels (B)', 'Parent', hMarkers, 'Callback', ['wt_track_whisker_label(0, ''delete-all''); wt_batch_redo(''wt_track_whisker_label(0,''''delete-all'''');'')']); uimenu(hFrameWin, 'Label','Track Whiskers With Labels (B)', 'Parent', hMarkers, 'Callback', ['wt_track_whiskers_with_labels('''')']); uimenu(hFrameWin, 'Label','Show Label Names', 'Parent', hMarkers, 'Callback', 'wt_toggle_show_label_identity') % Head related menu items hHead = uimenu(hFrameWin, 'Label', 'Head'); uimenu(hFrameWin, 'Label','Track Head', 'Parent', hHead, 'Callback', ['wt_init_head_tracker']); uimenu(hFrameWin, 'Label','Set Head Position...', 'Parent', hHead, 'Callback', ['wt_init_head_tracker(''static_head'')']); uimenu(hFrameWin, 'Label','Configure Eye Filter...', 'Parent', hHead, 'Callback', ['global g_tWT; g_tWT.EyeFilter=wt_create_filter(g_tWT.EyeFilter);'], 'separator', 'on'); uimenu(hFrameWin, 'Label','Clean Head Movements', 'Parent', hHead, 'Callback', ['wt_clean_splines(0)']); % Image options hImage = uimenu(hFrameWin, 'Label', 'View'); uimenu(hFrameWin, 'Label','Select ROI', 'Parent', hImage, 'Callback', ['wt_select_roi']); uimenu(hFrameWin, 'Label','Toggle View Mode', 'Parent', hImage, 'Callback', 'wt_toggle_display_mode'); uimenu(hFrameWin, 'Label','Rotate Clockwise (B)', 'Parent', hImage, 'Callback', ['wt_rotate_frame(1); wt_batch_redo(''wt_rotate_frame(1)'')'], 'Separator', 'on', 'accelerator', 'c'); uimenu(hFrameWin, 'Label','Rotate Anti-Clockwise (B)', 'Parent', hImage, 'Callback', ['wt_rotate_frame(-1); wt_batch_redo(''wt_rotate_frame(-1)'')'], 'accelerator', 'a'); uimenu(hFrameWin, 'Label','Flip Vertical (B)', 'Parent', hImage, 'Callback', ['wt_flip_frame(''updown''); wt_batch_redo(''wt_flip_frame(''''updown'''')'')'], 'separator', 'on'); uimenu(hFrameWin, 'Label','Flip Horizontal (B)', 'Parent', hImage, 'Callback', ['wt_flip_frame(''leftright''); wt_batch_redo(''wt_flip_frame(''''leftright'''')'')']); uimenu(hFrameWin, 'Label','Refresh', 'Parent', hImage, 'Callback', ['wt_prep_gui; wt_display_frame'], 'Separator', 'on', 'accelerator', 'R'); uimenu(hFrameWin, 'Label','Zoom', 'Parent', hImage, 'Callback', ['zoom on'], 'accelerator', 'z'); uimenu(hFrameWin, 'Label','Hide', 'Parent', hImage, 'Callback', ['wt_toggle_imageshow'], 'accelerator', 'H'); uimenu(hFrameWin, 'Label','Go To Frame...', 'Parent', hImage, 'Callback', @GoToFrame, 'accelerator', 'G'); uimenu(hFrameWin, 'Label','Reset (B)', 'Parent', hImage, 'Callback', ['wt_reset_all; wt_batch_redo(''wt_reset_all'')'], 'separator', 'on'); % Measure menu hImage = uimenu(hFrameWin, 'Label', 'Measure'); uimenu(hFrameWin, 'Label','Plot...', 'Parent', hImage, 'Callback', ['wt_graphs']); hCompute = uimenu(hFrameWin, 'Label', 'Compute', 'Parent', hImage); uimenu(hFrameWin, 'Label', 'Angle (B)', 'Parent', hCompute, 'Callback', ['wt_compute_kinematics(''angle'', 0); wt_batch_redo(''wt_compute_kinematics(''''angle'''',0)'');']); uimenu(hFrameWin, 'Label', 'Curvature (B)', 'Parent', hCompute, 'Callback', ['wt_compute_kinematics(''curvature'', 0); wt_batch_redo(''wt_compute_kinematics(''''curvature'''',0)'');']); uimenu(hFrameWin, 'Label', 'All Parameters (B)', 'Parent', hCompute, 'Callback', ['wt_compute_kinematics(''all'', 0); wt_batch_redo(''wt_compute_kinematics(''''all'''',0)'');']); uimenu(hFrameWin, 'Label','Set Reference Angle...', 'Parent', hImage, 'Callback', 'wt_set_reference_line'); uimenu(hFrameWin, 'Label','Use Default Reference Angle (B)', 'Parent', hImage, 'Callback', 'wt_set_default_reference_line; wt_batch_redo(''wt_set_default_reference_line'')'); uimenu(hFrameWin, 'Label','Calibrate...', 'Parent', hImage, 'Callback', ['wt_calibration(''calibrate'')'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Calibrate With Image...', 'Parent', hImage, 'Callback', ['wt_calibration(''calibrate-import-image'')']); uimenu(hFrameWin, 'Label','Measure...', 'Parent', hImage, 'Callback', ['wt_calibration(''measure'')']); uimenu(hFrameWin, 'Label','Create Outline', 'Parent', hImage, 'Callback', ['wt_create_outline(''add'')'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Paste Outline (B)', 'Parent', hImage, 'Callback', ['wt_create_outline(''paste'', NaN); wt_batch_redo(''wt_create_outline(''''paste'''', NaN)'')']); uimenu(hFrameWin, 'Label','Delete All Outlines (B)', 'Parent', hImage, 'Callback', ['wt_create_outline(''deleteall'', NaN); wt_batch_redo(''wt_create_outline(''''deleteall'''', NaN)'')']); uimenu(hFrameWin, 'Label','Hide Outlines', 'Parent', hImage, 'Callback', ['wt_create_outline(''hide'')']); end % Options menu hOptions = uimenu(hFrameWin, 'Label', 'Options'); hScripts = uimenu(hFrameWin, 'Label', 'Scripts', 'Parent', hOptions); uimenu(hFrameWin, 'Label', 'Run Script... (B)', 'Parent', hScripts, 'Callback', ['wt_run_script']); uimenu(hFrameWin, 'Label', 'Run Batch Script...', 'Parent', hScripts, 'Callback', ['wt_run_script(''batch'')']); uimenu(hFrameWin, 'Label', 'Get Script Help...', 'Parent', hScripts, 'Callback', ['wt_run_script_help']); % Get list of existing scripts in ./scripts directory sPath = which('wt'); sPath = checkfilename([sPath(1:end-4) 'scripts\']); tFiles = dir(sPath); bFirst = 1; for f = 1:length(tFiles) if ~isempty(strfind(tFiles(f).name, '.m')) & isempty(strfind(tFiles(f).name, '.m~')) sName = strrep(tFiles(f).name(1:end-2), '_', ' '); vIndx = strfind(sName, ' '); sName([1 vIndx+1]) = upper(sName([1 vIndx+1])); if bFirst uimenu(hFrameWin, 'Label', sName, 'Parent', hScripts, 'Callback', [sprintf('wt_run_script(''%s'')', tFiles(f).name)], 'Separator', 'on'); bFirst = 0; else uimenu(hFrameWin, 'Label', sName, 'Parent', hScripts, 'Callback', [sprintf('wt_run_script(''%s'')', tFiles(f).name)]); end end end if ~isempty(g_tWT.Movies) uimenu(hFrameWin, 'Label', 'Batch Redo', 'Parent', hOptions, 'Callback', ['wt_batch_redo(''redo'')'], 'accelerator', 'B'); uimenu(hFrameWin, 'Label', 'Parameters...', 'Parent', hOptions, 'Callback', ['wt_set_parameters'], 'accelerator', 'P'); uimenu(hFrameWin, 'Label', 'User Variables (B)...', 'Parent', hOptions, 'Callback', ['wt_user_variables;wt_batch_redo(''wt_user_variables(''''copyfrommem'''')'')'], 'accelerator', 'U'); %uimenu(hFrameWin, 'Label','Track Stimulus Triggers', 'Parent', hOptions, 'Callback', ['wt_track_stimulus']); uimenu(hFrameWin, 'Label','Signal-to-Noise', 'Parent', hOptions, 'Callback', ['wt_toggle_signal_noise'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Notes...', 'Parent', hOptions, 'Callback', ['wt_edit_notes'], 'accelerator', 'e'); uimenu(hFrameWin, 'Label','Debug Window', 'Parent', hOptions, 'Callback', ['wt_toggle_verbose']); uimenu(hFrameWin, 'Label','Compress Datafiles', 'Parent', hOptions, 'Callback', ['wt_toggle_datacompress'], 'Separator', 'on'); uimenu(hFrameWin, 'Label','Uncompress Movie', 'Parent', hOptions, 'Callback', ['wt_uncompress_movie']); uimenu(hFrameWin, 'Label','Play Movie', 'Parent', hOptions, 'Callback', ['wt_play_movie'], 'Separator', 'on', 'accelerator', 'M'); uimenu(hFrameWin, 'Label','Save Movie', 'Parent', hOptions, 'Callback', ['wt_play_movie(''save'')']); uimenu(hFrameWin, 'Label','Dump Screen...', 'Parent', hOptions, 'Callback', ['wt_dump_screen'], 'Separator', 'on'); end % Help menu hHelp = uimenu(hFrameWin, 'Label', 'Help'); uimenu(hFrameWin, 'Label','WT Help', 'Parent', hHelp, ... 'Callback', ... ['hWordHandle=actxserver(''Word.Application'');set(hWordHandle,''Visible'',1);invoke(get(hWordHandle,''Documents''),''Open'',which(''WT_Help.doc''))']); uimenu(hFrameWin, 'Label', 'Keyboard shortcuts', 'Parent', hHelp, 'Callback', ['wt_keyboard_shortcuts']); uimenu(hFrameWin, 'Label','About WT', 'Parent', hHelp, 'Callback', ['wt_about_wt'], 'Separator', 'on'); if ~isempty(g_tWT.Movies) % 'Go to frame' push-button g_tWT.Handles.hGoToButton = uicontrol(g_tWT.WTWindow, 'units', 'normalized' ... , 'Position', [.88 .025 .07 .03] ... % fig opos = .05 .05 .9 .9 , 'Style', 'edit' ... , 'String', '' ... , 'Tag', 'gotoframe' ... , 'tooltipString', 'Enter value of frame to go to and press Enter' ... , 'Callback', ['wt_display_frame(str2num(get(gco,''string'')))'] ); % Fix height in pixels set(g_tWT.Handles.hGoToButton, 'units', 'pixels'); vPos = get(g_tWT.Handles.hGoToButton, 'position'); set(g_tWT.Handles.hGoToButton, 'Position', [vPos(1) 20 vPos(3) 17]); % 'Go to last tracked frame' push button g_tWT.Handles.hGoToEndButton = uicontrol(g_tWT.WTWindow, 'units', 'normalized' ... , 'Position', [.95 .025 .03 .03] ... % fig opos = .05 .05 .9 .9 , 'Style', 'pushbutton' ... , 'String', 'E' ... , 'Tag', 'gotoframe' ... , 'tooltipString', 'Go to last whisker-tracked frame' ... , 'CallBack', @GotoLastFrame ); % Fix button height in pixels set(g_tWT.Handles.hGoToEndButton, 'units', 'pixels'); vPos = get(g_tWT.Handles.hGoToEndButton, 'position'); set(g_tWT.Handles.hGoToEndButton, 'Position', [vPos(1) 20 vPos(3) 17]); % 'Go to first tracked frame' push button g_tWT.Handles.hGoToFirstButton = uicontrol(g_tWT.WTWindow, 'units', 'normalized' ... , 'Position', [.02 .025 .03 .03] ... % fig opos = .05 .05 .9 .9 , 'Style', 'pushbutton' ... , 'String', '1' ... , 'Tag', 'gotoframe' ... , 'tooltipString', 'Go to first frame in movie' ... , 'CallBack', @GotoFirstFrame ); % Fix button height in pixels set(g_tWT.Handles.hGoToFirstButton, 'units', 'pixels'); vPos = get(g_tWT.Handles.hGoToFirstButton, 'position'); set(g_tWT.Handles.hGoToFirstButton, 'Position', [vPos(1) 20 vPos(3) 17]); % Status text field below slider g_tWT.Handles.hStatusText = uicontrol(g_tWT.WTWindow, 'units', 'normalized' ... , 'Position', [.02 .005 .96 .02] ... , 'Style', 'text' ... , 'fontsize', 8 ... , 'horizontalalignment', 'left' ... , 'String', '' ... , 'Tag', 'statustext' ... , 'FontWeight', 'normal' ... , 'backgroundcolor', get(g_tWT.WTWindow, 'color')); % Fix height in pixels set(g_tWT.Handles.hStatusText, 'units', 'pixels'); vPos = get(g_tWT.Handles.hStatusText, 'position'); set(g_tWT.Handles.hStatusText, 'Position', [vPos(1) 2 vPos(3) 15]); end % List of previously accessed paths if ~isempty(g_tWT.AccessedPaths) for p = 1:length(g_tWT.AccessedPaths) sLabel = sprintf('%d %s', p, g_tWT.AccessedPaths{p}); if length(sLabel) > 40 sLabel = ['..' sLabel(end-37:end)]; end if p == 1 uimenu(hFrameWin, 'Label', sLabel, ... 'Parent', hFile, ... 'Callback', [sprintf('wt_select_directory(''%s'')', g_tWT.AccessedPaths{p})], ... 'Separator', 'on'); else uimenu(hFrameWin, 'Label', sLabel, ... 'Parent', hFile, ... 'Callback', [sprintf('wt_select_directory(''%s'')', g_tWT.AccessedPaths{p})]); end end end uimenu(hFrameWin, 'Label','E&xit WT', 'Parent', hFile, 'Callback', ['wt_exit'], 'separator', 'on', 'accelerator', 'q'); set(hFrameWin, 'keypressfcn', @FigKeyPressExec) set(g_tWT.WTWindow, 'visible', 'on') return % end of main function %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function FigKeyPressExec( varargin ) global g_tWT sKey = lower(get(gcf, 'currentcharacter')); % If pressed key is a number, then go that number of frames back from % current if ~isempty(str2num(sKey)) if str2num(sKey) == 0 nNewFrame = round(get(g_tWT.Handles.hSlider, 'Value')) + 1; else nNewFrame = round(get(g_tWT.Handles.hSlider, 'Value')) - str2num(sKey); end if nNewFrame < 1 | nNewFrame > g_tWT.MovieInfo.NumFrames beep; return; end wt_display_frame(nNewFrame); end if strcmp(' ', sKey) if isfield(g_tWT, 'StopProc') if g_tWT.StopProc, g_tWT.StopProc = 0; wt_track_auto('bicubic'); else, g_tWT.StopProc = 1; end end end function GoToFrame(varargin) global g_tWT sF = inputdlg('Go to frame', 'Go to frame', 1); if isempty(sF), return else, wt_display_frame(str2num(char(sF))); end return; function GotoFirstFrame(varargin) global g_tWT if ~isempty(g_tWT.MovieInfo.Nose) f = find(~isnan(g_tWT.MovieInfo.Nose(:,1))); else, f = 1; end wt_display_frame(f(1)); return; function GotoLastFrame(varargin) global g_tWT if ~isempty(g_tWT.MovieInfo.SplinePoints) f = size(g_tWT.MovieInfo.SplinePoints, 3); else f = g_tWT.MovieInfo.NumFrames; end wt_display_frame(f); return;
github
HelmchenLabSoftware/OCIA-master
wt_mark_object.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_mark_object.m
5,048
utf_8
c852ba81c9b336c1264876140284470d
function wt_mark_object(nWhisker, sOption, nLocation) % WT_MARK_OBJECT % Mark object. Accepts whisker ID as its single input parameter. % Brings up a cross-hair to mark location in frame where whisker touches % object. Only works in conjunction with the WT GUI. % Syntax: wt_mark_object(ID) global g_tWT nCurrentFrame = round(get(g_tWT.Handles.hSlider, 'Value')); switch sOption case 'delete' g_tWT.MovieInfo.ObjectRadPos(nWhisker, :, nLocation) = NaN; delete(findobj('Tag', sprintf('object%d%d', nWhisker, nLocation))) case 'move' g_tWT.MovieInfo.ObjectRadPos(nWhisker, 1:2, nLocation) = GetCoords(nWhisker); % - replace zeros with NaNs g_tWT.MovieInfo.ObjectRadPos(find(g_tWT.MovieInfo.ObjectRadPos==0)) = NaN; case 'editframe' % Display current frame value and allow changing it cNewFrame = inputdlg('New frame number', 'Edit frame', 1, ... {num2str(g_tWT.MovieInfo.ObjectRadPos(nWhisker, 3, nLocation))}); if ~isempty(cNewFrame) g_tWT.MovieInfo.ObjectRadPos(nWhisker, 3, nLocation) = str2num(char(cNewFrame)); end % - replace zeros with NaNs g_tWT.MovieInfo.ObjectRadPos(find(g_tWT.MovieInfo.ObjectRadPos==0)) = NaN; case 'add' % If this is the 1st marked touch location for this whisker, change % the 1st frame for this location to be the 1st tracked frame nF = find(squeeze(g_tWT.MovieInfo.SplinePoints(1,1,:,nWhisker))); if nWhisker > size(g_tWT.MovieInfo.ObjectRadPos,1) nCurrentFrame = nF(1); else % Following lines takes into account that old movies did not % allow marking of more than one object if size(g_tWT.MovieInfo.ObjectRadPos,2) == 3 if ~any(g_tWT.MovieInfo.ObjectRadPos(nWhisker,3,:)) nCurrentFrame = nF(1); end elseif size(g_tWT.MovieInfo.ObjectRadPos,2) == 2 g_tWT.MovieInfo.ObjectRadPos(nWhisker,3,:) = nF(1); % set frame of previous location to 1st tracked frame end end % Check if there already is a location that starts from current frame if size(g_tWT.MovieInfo.ObjectRadPos,2) == 3 & size(g_tWT.MovieInfo.ObjectRadPos,1) >= nWhisker if find(g_tWT.MovieInfo.ObjectRadPos(nWhisker,3,:)==nCurrentFrame) wt_error('There already is a defined location starting in current frame. Move location instead.') end end vAbsCoords = GetCoords(nWhisker); % Save in absolute coordinates % - determine number of locations marked for this whisker if isempty(g_tWT.MovieInfo.ObjectRadPos) nObjectNum = 0; else try nObjectNum = length(find(~isnan(g_tWT.MovieInfo.ObjectRadPos(nWhisker, 1:2, :))))/2; catch, nObjectNum = 0; end end % - replace zeros with NaNs g_tWT.MovieInfo.ObjectRadPos(find(g_tWT.MovieInfo.ObjectRadPos==0)) = NaN; % - tidy up order of locations for w = 1:size(g_tWT.MovieInfo.ObjectRadPos,1) vRows = find(~isnan(g_tWT.MovieInfo.ObjectRadPos(w,1,:))); tmp = g_tWT.MovieInfo.ObjectRadPos; tmp(w,:,:) = NaN; tmp(w,:,1:length(vRows)) = g_tWT.MovieInfo.ObjectRadPos(w,:,vRows); g_tWT.MovieInfo.ObjectRadPos = tmp; end % - allocate new location g_tWT.MovieInfo.ObjectRadPos(nWhisker, 1:3, nObjectNum+1) = [vAbsCoords nCurrentFrame]; % - replace zeros with NaNs g_tWT.MovieInfo.ObjectRadPos(find(g_tWT.MovieInfo.ObjectRadPos==0)) = NaN; % Delete whisker-distance-from-object vector g_tWT.MovieInfo.PositionOffset(:,nWhisker) = NaN; end % Refresh frame wt_display_frame return; %%%% SUB ROUTINES %%%% function vAbsCoords = GetCoords(nWhisker) global g_tWT nCurrentFrame = round(get(g_tWT.Handles.hSlider, 'Value')); % Get user input in absolute coordinates [nX nY] = ginput(1); vAbsCoords = [nX nY];% ./ g_tWT.MovieInfo.ResizeFactor; % If head-position is known for the *current frame* then transform from % relative to absolute coordinates. if ~isempty(g_tWT.MovieInfo.EyeNoseAxLen) & g_tWT.MovieInfo.Nose(nCurrentFrame, 1) & g_tWT.DisplayMode if ~isempty(g_tWT.MovieInfo.Nose(nCurrentFrame,:)) & ~isnan(prod(g_tWT.MovieInfo.Nose(nCurrentFrame,:))) nWhiskerSide = g_tWT.MovieInfo.WhiskerSide(nWhisker); if nWhiskerSide == 2, vAbsCoords(1) = vAbsCoords(1) - (g_tWT.MovieInfo.ImCropSize(1) + 1); end vAbsCoords = wt_rotate_coords(vAbsCoords, ... 'rel2abs', ... g_tWT.MovieInfo.RightEye(nCurrentFrame, :), ... g_tWT.MovieInfo.LeftEye(nCurrentFrame, :), ... g_tWT.MovieInfo.Nose(nCurrentFrame, :), ... nWhiskerSide, ... g_tWT.MovieInfo.ImCropSize, ... g_tWT.MovieInfo.RadExt, ... g_tWT.MovieInfo.HorExt ); end end return
github
HelmchenLabSoftware/OCIA-master
wt_head_tracker.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_head_tracker.m
7,494
utf_8
8bb26b2011d840cf56a96a3ba9c0b063
function bResult = wt_head_tracker(sFileName) % WT_HEAD_TRACKER % Track rat head movements % warning off MATLAB:divideByZero warning off MATLAB:mir_warning_variable_used_as_function global g_tWT bResult = 1; wt_toggle_display_mode(0) g_tWT.MovieInfo.ImCropSize = round([g_tWT.MovieInfo.RadExt g_tWT.MovieInfo.EyeNoseAxLen+g_tWT.MovieInfo.HorExt*2]); % Open waitbar dialog hWaitbar = waitbar(0, sprintf('Loading buffer (%d frames)...', g_tWT.MovieInfo.NoFramesToLoad), 'CreateCancelBtn', 'delete(gcbf)'); set(hWaitbar, 'units', get(findobj('tag', 'WTMainWindow'), 'units')) vFrPos = get(findobj('tag', 'WTMainWindow'), 'position'); vWtPos = get(hWaitbar, 'position'); set(hWaitbar, 'tag', 'auto'); % Add buttons for manual control uicontrol(hWaitbar, 'Style', 'pushbutton', 'Position', [25 12 50 23], ... 'Callback', 'set(gcf, ''tag'', ''manual_right'')', 'String', 'Right' ); uicontrol(hWaitbar, 'Style', 'pushbutton', 'Position', [85 12 50 23], ... 'Callback', 'set(gcf, ''tag'', ''manual_left'')', 'String', 'Left' ); uicontrol(hWaitbar, 'Style', 'pushbutton', 'Position', [145 12 50 23], ... 'Callback', 'set(gcf, ''tag'', ''manual_both'')', 'String', 'Both' ); uicontrol(hWaitbar, 'Style', 'pushbutton', 'Position', [205 12 50 23], ... 'Callback', 'set(gcf, ''tag'', ''stop'')', 'String', 'Stop' ); drawnow nYlim = g_tWT.MovieInfo.Height; nXlim = g_tWT.MovieInfo.Width; set(g_tWT.Handles.hSlider, 'enable', 'off') % disable slider % Process frames nFirstFrame = find(~isnan(g_tWT.MovieInfo.LeftEye(:,1)))+1; nRealFrame = nFirstFrame(1); bBreakOuter = 0; % Outer loop: iterate over frame segments while nRealFrame <= g_tWT.MovieInfo.NumFrames nRangeStart = nRealFrame; nRangeEnd = nRangeStart + g_tWT.MovieInfo.NoFramesToLoad - 1; nRangeEnd = min([nRangeEnd g_tWT.MovieInfo.NumFrames]); vFrameRange = nRangeStart:nRangeEnd; % range of frames in buffer waitbar(nRealFrame/g_tWT.MovieInfo.NumFrames, hWaitbar, sprintf('Loading buffer (%d frames)...', g_tWT.MovieInfo.NoFramesToLoad)) mFrames = wt_load_avi(sFileName, vFrameRange); % load frame buffer % Inner loop: iterate over individual frames in buffer nFrame = 1; bBreakInner = 0; while nFrame <= length(vFrameRange) & nFrame > 0 nRealFrame = vFrameRange(nFrame); try waitbar(nRealFrame/g_tWT.MovieInfo.NumFrames, hWaitbar, sprintf('Processing frame %d', nRealFrame)) catch, bResult = 0; nBreakOuter = 1; break; end if g_tWT.MovieInfo.Invert == 0, nInvert = -1; else, nInvert = 1; end % Rotate if g_tWT.MovieInfo.Rot ~= 0, mFrames(:,:,nFrame) = imrotate(mFrames(:,:,nFrame), g_tWT.MovieInfo.Rot); end if g_tWT.MovieInfo.Flip(1) mFrames(:,:,nFrame) = flipud(mFrames(:,:,nFrame)); end % flip up-down if g_tWT.MovieInfo.Flip(2) mFrames(:,:,nFrame) = fliplr(mFrames(:,:,nFrame)); end % flip left-right if strcmp(get(hWaitbar, 'tag'), 'auto') % Automatic try g_tWT.MovieInfo.RightEye(nRealFrame, :) = wt_track_spot(double(mFrames(:,:,nFrame)).*nInvert, g_tWT.MovieInfo.RightEye(nRealFrame-1, :), [], g_tWT.EyeFilter.Filter, g_tWT.VerboseMode); g_tWT.MovieInfo.LeftEye(nRealFrame, :) = wt_track_spot(double(mFrames(:,:,nFrame)).*nInvert, g_tWT.MovieInfo.LeftEye(nRealFrame-1, :), [], g_tWT.EyeFilter.Filter, g_tWT.VerboseMode); catch, bBreakOuter = 1; break, end nFrame = nFrame + 1; elseif strcmp(get(hWaitbar, 'tag'), 'stop') % stop tracking at current frame bBreakOuter = 1; break else % Manual (ignore buffer and load frame-by-frame) nFrame = 0; while ~strcmp(get(hWaitbar, 'tag'), 'auto') if nRealFrame < nFirstFrame, nRealFrame = nFirstFrame; end % Get automatic suggestions mFrame = wt_load_avi(sFileName, nRealFrame); % load frame buffer g_tWT.MovieInfo.RightEye(nRealFrame, :) = wt_track_spot(double(mFrame).*nInvert, g_tWT.MovieInfo.RightEye(nRealFrame-1, :), [], g_tWT.EyeFilter.Filter, g_tWT.VerboseMode); g_tWT.MovieInfo.LeftEye(nRealFrame, :) = wt_track_spot(double(mFrame).*nInvert, g_tWT.MovieInfo.LeftEye(nRealFrame-1, :), [], g_tWT.EyeFilter.Filter, g_tWT.VerboseMode); g_tWT.MovieInfo.Nose(nRealFrame, :) = wt_find_nose(g_tWT.MovieInfo.RightEye(nRealFrame, :), g_tWT.MovieInfo.LeftEye(nRealFrame, :), g_tWT.MovieInfo.EyeNoseAxLen); wt_display_frame(nRealFrame); % refresh frame hLine = line(-10,-10); % indicator line set(hLine, 'linewidth', 5, 'color', [1 0 0]) % Decide which side(s) to track switch get(hWaitbar, 'tag') case 'manual_both', cSides = {'Right' 'Left'}; case 'manual_right', cSides = {'Right'}; case 'manual_left', cSides = {'Left'}; end for sS = cSides % Update indicator line if strcmp(sS,'Right'), set(hLine, 'xdata', [1 1], 'ydata', [0 nYlim]); else, set(hLine, 'xdata', [nXlim nXlim], 'ydata', [0 nYlim]), end nX = -1; nY = -1; % Get input while ~ValidCoord(nX,nY), [nX, nY, nButton] = ginput(1); end if nButton == 2 | nButton == 3 % Break if middle or right button was pressed set(hWaitbar, 'tag', 'auto') figure(hWaitbar) bBreakInner = 1; break elseif nButton > 3 % Change framenumber if a number key was pressed nRealFrame = nRealFrame - str2num(char(nButton)); else % Assign coordinate eval(sprintf('g_tWT.MovieInfo.%sEye(nRealFrame, :) = round([nX nY]);', char(sS))); if strcmp(sS,cSides{end}), nRealFrame = nRealFrame + 1; end end end delete(hLine) if bBreakInner break end end end end % inner loop if bBreakOuter, break else % refresh frame g_tWT.MovieInfo.RightEye = g_tWT.MovieInfo.RightEye; g_tWT.MovieInfo.LeftEye = g_tWT.MovieInfo.LeftEye; g_tWT.MovieInfo.Nose = wt_find_nose(g_tWT.MovieInfo.RightEye, g_tWT.MovieInfo.LeftEye, g_tWT.MovieInfo.EyeNoseAxLen); if nFrame wt_display_frame(nRealFrame, mFrames(:,:,nFrame-1)); else, wt_display_frame(nRealFrame); end figure(hWaitbar); drawnow end end % outer loop delete(hWaitbar) g_tWT.MovieInfo.RightEye = g_tWT.MovieInfo.RightEye; g_tWT.MovieInfo.LeftEye = g_tWT.MovieInfo.LeftEye; g_tWT.MovieInfo.Nose = wt_find_nose(g_tWT.MovieInfo.RightEye, g_tWT.MovieInfo.LeftEye, g_tWT.MovieInfo.EyeNoseAxLen); set(g_tWT.Handles.hSlider, 'enable', 'on', 'value', nFirstFrame-1) % enable slider wt_toggle_display_mode(1) % refresh frame wt_display_frame(nFirstFrame-1) return %%%% VALIDCOORD %%%% Check if ginput() coordinates is inside the frame function nB = ValidCoord(nX,nY) global g_tWT nB = 1; vYlim = get(g_tWT.FrameAx, 'ylim'); vXlim = get(g_tWT.FrameAx, 'xlim'); if nX < 1 | nX > vXlim(2), nB = 0; end if nY < 1 | nY > vYlim(2), nB = 0; end return
github
HelmchenLabSoftware/OCIA-master
wt_plot_signal_noise.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_plot_signal_noise.m
3,785
utf_8
16ae4d2f5488b3e23f73a272f627ff86
function bStop = wt_plot_signal_noise(vSR) % WT_PLOT_SIGNAL_NOISE % Plots the signal-to-noise ratio of the whisker against the background. % The ratio itself is computed in the find_next_whisker.dll. This function % just accepts the number(s) to plot. Adds a red, horizontal bar for % setting the threshold at which tracking should be automatically stopped. % % Syntax: % wt_plot_signal_noise(N) : add N to XDATA in SR window % wt_plot_signal_noise([]) : reset SR plot global g_tWT persistent p_hSRWin persistent p_nAutoclear persistent p_nClock persistent p_vFPS % Clear tracking speed variable if isempty(vSR), p_vFPS = []; end % Update tracking speed counter (current and average FPS) if ~isempty(p_nClock) nElapsedTime = etime(clock, p_nClock); p_nClock = clock; p_vFPS = [p_vFPS length(vSR)/nElapsedTime]; % tracking speed, fps set(findobj('tag','fps'), 'label', sprintf('Tracking speed: %.1f fps', mean(p_vFPS))) else, p_nClock = clock; end if isempty(p_nAutoclear), p_nAutoclear = 500; else if ~isempty(findobj('tag', 'AutoClearButton')) p_nAutoclear = get(findobj('tag', 'AutoClearButton'), 'UserData'); end end % Figure if isempty(p_hSRWin) | ~ishandle(p_hSRWin) p_hSRWin = figure; set(p_hSRWin, 'Name', 'S/N Use mouse to set threshold', ... 'MenuBar', 'none', ... 'NumberTitle', 'off', ... 'Position', [450 370 480 200], ... 'CloseRequestFcn', 'wt_toggle_signal_noise;delete(gcbo)', ... 'Color', 'k', ... 'Tag', 'SignalNoiseFig' ) uimenu(gcf, 'Label', 'Clear', 'callback', 'wt_plot_signal_noise([])') uimenu(gcf, 'Label', sprintf('Set autoclear (%d frames)', p_nAutoclear), 'callback', @SetAutoClear, 'Tag', 'AutoClearButton') uimenu(gcf, 'Label', 'Tracking speed: 0 fps', 'Tag', 'fps') end % Axes hAxes = findobj('tag', 'sn_plot'); if isempty(hAxes) hAxes = subplot('Position', [.1 .15 .8 .7]); set(gca, 'FontSize', 7, 'color', 'k', ... 'xcolor', 'w', 'ycolor', 'w', ... 'ButtonDownFcn', @SetThreshold, ... 'tag', 'sn_plot' ) ylabel('S/N'); xlabel('Time (frames)') end % Plot hLines = get(hAxes(end), 'children'); % there are two line objects: S/N and THRESHOLD if isempty(hLines) hLines(1) = line(1,1); hThreshLine = line(0,2); set(hLines(1), 'Tag', 'SR', 'Marker', '.', 'color', [0 .8 0]); set(hThreshLine, 'Tag', 'THRESH', 'color', 'r', 'LineStyle', ':'); end % Return if the input is empty if isempty(vSR), vSR = 0; else, vSR = [get(findobj('tag','SR'),'ydata') vSR]; end set(hAxes, 'ylim', [min(vSR)-2 max(vSR)+2]) set(findobj('tag','SR'), 'ydata', vSR, 'xdata', 0:length(vSR)-1) vYdata = get(findobj('tag','THRESH'), 'ydata'); set(findobj('tag','THRESH'), 'ydata', repmat(vYdata(1), 1, length(vSR)), 'xdata', 0:length(vSR)-1) hLines = get(hAxes(end), 'children'); % there are two line objects: S/N and THRESHOLD % Evaluate SR vThresh = get(findobj('tag','THRESH'), 'ydata'); if (vSR(end) <= vThresh(end)) & vSR(end)~=0 beep g_tWT.StopProc = 1; end % If length of vSR > p_nAutoclear, clear the display if length(vSR) > p_nAutoclear, wt_plot_signal_noise([]), end return %%% Change SR threshold %%% function SetThreshold(varargin) mPnts = get(gca,'CurrentPoint'); nY = mPnts(1,2); nXlim = get(gca, 'xlim'); set(findobj('tag','THRESH'), 'xdata', 0:nXlim(2), ... 'ydata', repmat(nY,1,length(0:nXlim(2))) ) return %%% Change Autoclear %%% function SetAutoClear( varargin ) sAutoClFrames = inputdlg('Number of frames between autoclear', 'Set autoclear', 1); if isempty(char(sAutoClFrames)), return, end nAutoClFrames = str2num(char(sAutoClFrames)); set(findobj('tag', 'AutoClearButton'), 'Label', sprintf('Set autoclear (%d frames)', nAutoClFrames), 'UserData', nAutoClFrames); return
github
HelmchenLabSoftware/OCIA-master
wt_clear_selected_whisker.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_clear_selected_whisker.m
2,251
utf_8
aba3a703c9cf0c5ea4afc2e0ca864686
function wt_clear_selected_whisker() % WT_CLEAR_SELECTED_WHISKER % Delete all or parts of tracked data of selected whiskers, or delete all % tracked whiskers. global g_tWT cIdents = {g_tWT.MovieInfo.WhiskerIdentity{:}}; nFontSize = 8; nLinSep = 10; vScrnSize = get(0, 'ScreenSize'); nFigHeight = (length(cIdents)-1) * (nFontSize*2 + nLinSep) + 60; nFigWidth = 150; vFigPos = [5 vScrnSize(4)-(nFigHeight+21) nFigWidth nFigHeight]; hCurrWin = figure; set(hCurrWin, 'NumberTitle', 'off', ... 'Name', 'Select whisker', ... 'Position', vFigPos, ... 'Tag', 'ClearSelectedWhiskers', ... 'MenuBar', 'none' ) nCurrLine = nFigHeight; nCurrLine = nCurrLine - (nFontSize*2 + nLinSep); for w = 1:length(cIdents) w_this = w; if w > 10, w_this = w-10; end if w > 20, w_this = w-20; end if w > 30, w_this = w-30; end if w > 40, w_this = w-40; end if isempty(cIdents{w}), cIdents{w}{1} = ''; end hBox = uicontrol(hCurrWin, 'Style', 'checkbox', 'Position', [10 nCurrLine 125 20], ... 'Callback', '', ... 'HorizontalAlignment', 'right', ... 'String', cIdents{w}, ... 'FontWeight', 'bold', ... 'Tag', sprintf('whisker_%d_%s', w, cIdents{w}{:}), ... 'BackgroundColor', g_tWT.Colors(w_this,:) ); nCurrLine = nCurrLine - (nFontSize*2 + nLinSep); end % Refresh pushbutton uicontrol(hCurrWin, 'Style', 'pushbutton', 'Position', [10 nCurrLine 125 20], ... 'Callback', @ClearWhiskers, ... 'String', 'Clear whiskers', ... 'FontWeight', 'bold' ); uiwait(hCurrWin) return %%%%%%%%%%%%%% CLEAR WHISKERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function ClearWhiskers(varargin) global g_tWT hCurrWin = findobj('Tag', 'ClearSelectedWhiskers'); % Iterate over checkboxes and decide which to delete vDelWhiskers = []; cIdents = {g_tWT.MovieInfo.WhiskerIdentity{:}}; for w = 1:length(cIdents) if isempty(cIdents{w}), cIdents{w}{1} = ''; end hCheckBox = findobj(hCurrWin, 'Tag', sprintf('whisker_%d_%s', w, cIdents{w}{:})); if get(hCheckBox, 'Value') vDelWhiskers(end+1) = w; end end % Clear whiskers if ~isempty(vDelWhiskers) wt_clear_whisker(vDelWhiskers) end % Close window close(hCurrWin) % Re-open window wt_clear_selected_whisker return
github
HelmchenLabSoftware/OCIA-master
wt_rotate_frame.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_rotate_frame.m
993
utf_8
a92c107a47390dbb6d73e084fa620630
% WT_ROTATE_FRAME % function wt_rotate_frame( nDir ) global g_tWT % Display warning message if ~isfield(g_tWT.MovieInfo, 'SplinePoints'), return, end if ~isempty(g_tWT.MovieInfo.SplinePoints) sQuestResp = questdlg('Changing the ROI will delete already marked whiskers. Continue?', 'Warning', 'Yes', 'No', 'Yes'); if strcmp(sQuestResp, 'No') return; end end nAngles = [0 90 180 270]; nCurrPos = find(nAngles == g_tWT.MovieInfo.Rot); % Determine new 'clock' position if nDir == 0 % return to default g_tWT.MovieInfo.Rot = 0; g_tWT.MovieInfo.Roi = [1 1 g_tWT.MovieInfo.Width-1 g_tWT.MovieInfo.Height-1];% * g_tWT.MovieInfo.ResizeFactor; else nNewPos = nCurrPos - nDir; switch nNewPos case 0 g_tWT.MovieInfo.Rot = nAngles(4); case 5 g_tWT.MovieInfo.Rot = nAngles(1); otherwise g_tWT.MovieInfo.Rot = nAngles(nNewPos); end end g_tWT.MovieInfo.SplinePoints = []; % Refresh frame wt_display_frame return
github
HelmchenLabSoftware/OCIA-master
wt_flip_frame.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_flip_frame.m
866
utf_8
9b7c021b84096aead6b9a000be27738e
%%%% WT_FLIP_FRAME %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, IN PRESS % function wt_flip_frame( sDirection ) global g_tWT switch sDirection case 'updown' % Flip Up-Down g_tWT.MovieInfo.Flip(1) = ~g_tWT.MovieInfo.Flip(1); case 'leftright' % Flip Left-Right g_tWT.MovieInfo.Flip(2) = ~g_tWT.MovieInfo.Flip(2); end % Refresh display wt_display_frame
github
HelmchenLabSoftware/OCIA-master
wt_create_filter.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_create_filter.m
6,277
utf_8
38d33983265ffab70c0fc85628361dbe
function tFilter = wt_create_filter(tDefaultFilter, sOption) % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, IN PRESS % Create a mexican hat (DoG) filter interactively % % Usage: % Set filter interactively % tFilter = wt_create_filter(tDefaultFilter) % % Create filter only (don't open GUI) % tFilter = wt_create_filter(tDefaultFilter, 'create-only') % if exist('sOption') switch lower(sOption) case 'create-only' tFilter = CreateFilter(tDefaultFilter); return end end hWT_win = findobj('Tag', 'WTMainWindow'); if ~isempty(hWT_win) wt_display_frame; % refresh frame end if ~exist('tDefaultFilter') tDefaultFilter.Size = 10; tDefaultFilter.Sigma_A = 3; tDefaultFilter.Sigma_B = 1; end % Open window hFig = figure; set(hFig, 'Position', [350 520 520 180], 'MenuBar', 'none', 'NumberTitle', 'off', 'Name' ,'WT - GENERATE FILTER', 'Tag', 'WT_GENERATE_FILTER', 'Resize', 'off') hSub = subplot('Position', [.65 .1 .35 .8]); set(hSub, 'xtick', [], 'ytick', [], 'Color', 'k', 'Tag', 'WT_GENERATE_FILTER_SUBPLOT') axis square % Slide bars hSliderAB_size = uicontrol(hFig, 'style', 'slider'); SetSliderProps(hSliderAB_size, [.15 .85 .4 .1], 1, 101, [.01 .1], tDefaultFilter.Size, 'AB_SIZE', 'Size', @UpdateFilter) hSliderA_sigma = uicontrol(hFig, 'style', 'slider'); SetSliderProps(hSliderA_sigma, [.15 .54 .4 .1], 0.001, 10, [.01 .1], tDefaultFilter.Sigma_A, 'A_SIGMA', 'A sigma', @UpdateFilter) hSliderB_sigma = uicontrol(hFig, 'style', 'slider'); SetSliderProps(hSliderB_sigma, [.15 .41 .4 .1], 0.001, 10, [.01 .1], tDefaultFilter.Sigma_B, 'B_SIGMA', 'B sigma', @UpdateFilter) hTxt = uicontrol(gcf, 'style', 'text'); % Text string indicating slider value set(hTxt, 'units', 'normalized', 'string', 'Size should greater than the maximal expected frame to frame displacement', 'Position', [.05 .675 .575 .15], 'HorizontalAlignment', 'left') hTxt = uicontrol(gcf, 'style', 'text'); % Text string indicating slider value set(hTxt, 'units', 'normalized', 'string', 'Sigmas should be adjusted so that the object of interest appears dark in the image', 'Position', [.05 .23 .575 .15], 'HorizontalAlignment', 'left') hSaveButton = uicontrol(hFig, 'style', 'pushbutton'); % SAVE button set(hSaveButton, 'units', 'normalized', 'Position', [.15 .05 .15 .15], 'string', 'Save', 'Callback', ['uiresume(gcf);']) hCancelButton = uicontrol(hFig, 'style', 'pushbutton'); % CANCEL button set(hCancelButton, 'units', 'normalized', 'Position', [.4 .05 .15 .15], 'string', 'Cancel', 'Callback', ['close(gcf);']) TestFilter; uiwait(hFig) if ~isempty(findobj('Tag', 'WT_GENERATE_FILTER')) tFilter.Size = round(get(findobj('Tag', 'AB_SIZE'), 'Value')); tFilter.Sigma_A = get(findobj('Tag', 'A_SIGMA'), 'Value'); tFilter.Sigma_B = get(findobj('Tag', 'B_SIGMA'), 'Value'); tFilter = CreateFilter(tFilter); close(hFig) else tFilter = tDefaultFilter; end wt_display_frame TestFilter('clear') return % Create filter function TestFilter(sOption) global g_tWT persistent mImg if exist('sOption') switch lower(sOption) case 'clear' clear mImg; return end end nSize = round(get(findobj('Tag', 'AB_SIZE'), 'Value')); mGaussA = fspecial('gaussian', nSize, get(findobj('Tag', 'A_SIGMA'), 'Value')); % Gaussian A mGaussB = fspecial('gaussian', nSize, get(findobj('Tag', 'B_SIGMA'), 'Value')); % Gaussian B mFilter = mGaussA - mGaussB; % DoG (Difference of Gaussians) hSub = findobj('Tag', 'WT_GENERATE_FILTER_SUBPLOT'); axis(hSub); imagesc(mFilter); colormap pink set(hSub, 'xtick', [], 'ytick', [], 'Color', 'k', 'Tag', 'WT_GENERATE_FILTER_SUBPLOT') axis square drawnow % Convolve WT window hWT_win = findobj('Tag', 'WTMainWindow'); if ~isempty(hWT_win) % don't convolve if WT window is closed if isempty(mImg) hAx = findobj(hWT_win, 'type', 'axes'); mImg = get(findall(hAx, 'type', 'image'), 'cdata'); end mImg_conv = conv2(double(mImg), mFilter, 'same'); % convolve wt_display_frame(get(g_tWT.Handles.hSlider, 'value'), mImg_conv); % FIX FRAMENUMBER!!!!!! end figure(findobj('Tag', 'WT_GENERATE_FILTER')) return % end test filter % Update filter parameters function UpdateFilter(varargin) hAB_SIZE = findobj('Tag', 'AB_SIZE'); hAB_SIZE_txt = findobj('Tag', 'AB_SIZE-txt'); set(hAB_SIZE_txt, 'String', round(get(hAB_SIZE, 'Value'))); hA_SIGMA = findobj('Tag', 'A_SIGMA'); hA_SIGMA_txt = findobj('Tag', 'A_SIGMA-txt'); set(hA_SIGMA_txt, 'String', get(hA_SIGMA, 'Value')); hB_SIGMA = findobj('Tag', 'B_SIGMA'); hB_SIGMA_txt = findobj('Tag', 'B_SIGMA-txt'); set(hB_SIGMA_txt, 'String', get(hB_SIGMA, 'Value')); TestFilter; return % end update filter % Set slider properties function SetSliderProps(hSlider, vPos, nMin, nMax, vStep, nDefault, sTag, sString, sCallback) set(hSlider, 'units', 'normalized' ... , 'Position', vPos ... , 'Style', 'slider' ... , 'Tag', sTag ... , 'Min', nMin ... , 'Max', nMax ... , 'SliderStep', vStep ... , 'Value', nDefault ... , 'CallBack', sCallback ); hTxt = uicontrol(gcf, 'style', 'text'); % Text string indicating slider value set(hTxt, 'units', 'normalized', 'string', get(hSlider, 'Value'), 'Position', [vPos(1)+vPos(3) vPos(2) .075 vPos(4)], 'Tag', sprintf('%s-txt', sTag)) hTxt = uicontrol(gcf, 'style', 'text'); % Descriptive text string set(hTxt, 'units', 'normalized', 'string', sString, 'Position', [.05 vPos(2), vPos(1)-.05 vPos(4)], 'HorizontalAlignment', 'left', 'FontWeight','bold') return % end slider properties % Create filter function tFilter = CreateFilter(tFilter) mGaussA = fspecial('gaussian', tFilter.Size, tFilter.Sigma_A); % Gaussian A mGaussB = fspecial('gaussian', tFilter.Size, tFilter.Sigma_B); % Gaussian B tFilter.Filter = mGaussA - mGaussB; % DoG (Difference of Gaussians) return % end create filter
github
HelmchenLabSoftware/OCIA-master
wt_crop_behaving_video.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_crop_behaving_video.m
7,146
utf_8
5176de9198f557e2304c65564f2de0a9
% WT_CROP_BEHAVING_VIDEO % Extract region of interest parallel to whisker-pad. % wt_crop_behaving_video(M, C, HOR, RAD, METHOD), where % M is the loaded frame % C is a 3-by-2 vector containing X Y coordinates of right-eye, left-eye % and nose. % HOR is the length of the extracted region (anterior-posterior axis) % RAD is the width of the extracted region (distance from face) % METHOD is the interpolation method used when rotating the extracted % region, either 'linear' (fast) or 'bicubic' (slow, but better). % function mCropImg = wt_crop_behaving_video(mImg, mCoords, hor_ext, rad_ext, method); global g_tWT % Resize cropping parameters according to the ersize factor %hor_ext = hor_ext * g_tWT.MovieInfo.ResizeFactor; %rad_ext = rad_ext * g_tWT.MovieInfo.ResizeFactor; %mCoords = mCoords * g_tWT.MovieInfo.ResizeFactor; bDebug = g_tWT.VerboseMode; switch lower(method) case 'bicubic' bBicubic = 1; case 'nearest' bBicubic = 0; otherwise error('Unknown method in wt_crop_behaving_vide') end % Rotate and extract the relevant parts of the image % A small note: the routine first defines the vertices of the relevant % section in the coordinates of the original frame. It then extracts this % part, rotates it and re-crops it so only the defined rectangle is kept. % An alternative would be to rotate the entire frame, and then crop. This is % intuitively simpler, but because the imrotate(...) function is slow on % large matrices (e.g. such as the entire frame), this method takes more % than 3 times longer to execute than the first method. % TODO: % - account for possible errors coordinates are outside the frame % - return both right and left side and the ROI in absolute coordinates % - check consistency of mCoords input matrix if bDebug hFig = findobj('Tag', 'CROP_FRAME_WINDOW'); if isempty(hFig) hFig = figure; set(hFig, 'Tag', 'CROP_FRAME_WINDOW', 'DoubleBuffer', 'on', 'Name', 'WT - CROP_FRAME_WINDOW', 'numbertitle', 'off') else, figure(hFig), end clf; end nPadFact = 4; % zero-pad image to avoid boundary errors mImg = padarray(mImg, [hor_ext*nPadFact rad_ext*nPadFact], mean(mean(mImg(:,:,1))),'both'); % repeat once for right eye and once for left eye new_coords = zeros(4,2); for e = 1:2 % 1=right 2=left % angle between eye and nose y = abs(mCoords(e,2) - mCoords(3,2)); x = mCoords(e,1) - mCoords(3,1); if x < 0 theta = -1*(90 + rad2deg(atan(y/x))); else theta = 90 - rad2deg(atan(y/abs(x))); end if (mCoords(3,1)-mCoords(e,1)) < 0 ang = pi + atan( (mCoords(3,2)-mCoords(e,2))/(mCoords(3,1)-mCoords(e,1)) ); % ang between points else ang = atan( (mCoords(3,2)-mCoords(e,2))/(mCoords(3,1)-mCoords(e,1)) ); % ang between points end eye_nose_zero_intersect = interp1([mCoords(3,2) mCoords(e,2)], [mCoords(3,1) mCoords(e,1)], 0, 'linear', 'extrap'); r_nose = sqrt(sum([(mCoords(3,1)-eye_nose_zero_intersect) mCoords(3,2)].^2)) + hor_ext; new_coords(1,:) = [ r_nose*cos(ang)+eye_nose_zero_intersect r_nose*sin(ang) ]; % ant A r_eye = sqrt(sum([(mCoords(e,1)-eye_nose_zero_intersect) mCoords(e,2)].^2)) - hor_ext; new_coords(2,:) = [ r_eye*cos(ang)+eye_nose_zero_intersect r_eye*sin(ang) ]; % post A adj = [rad_ext*cos(ang-deg2rad(90)) rad_ext*sin(ang-deg2rad(90))]; if e == 1 % right eye new_coords(4,:) = new_coords(1,:) - adj; % ant B new_coords(3,:) = new_coords(2,:) - adj; % post B else % left eye new_coords(4,:) = new_coords(1,:) + adj; % ant B new_coords(3,:) = new_coords(2,:) + adj; % post B end % transform coordinates to take into account zero-padding new_coords = [new_coords(:,1)+rad_ext*nPadFact new_coords(:,2)+hor_ext*nPadFact]; % extract the rectangle x = min(new_coords(:,1)); y = min(new_coords(:,2)); w = max(new_coords(:,1)) - x; %end % use width of 1st frame h = max(new_coords(:,2)) - y; %end % use height of 1st frame try mTemp = mImg(round(y:y+h), round(x:x+w)); catch wt_error('Possible error with head-coordinates. Check by changing display mode.') end % calculate what the size of the rotate image will be (uncropped) theta_rad = deg2rad(theta); R = [cos(theta_rad) sin(theta_rad); -sin(theta_rad) cos(theta_rad)]; half_w = size(mTemp, 1)/2; half_h = size(mTemp, 2)/2; % corners = [up_left; up_right; low_left; low_right] corners(1,:) = [-half_w half_h]; corners(2,:) = [half_w half_h]; corners(3,:) = [-half_w -half_h]; corners(4,:) = [half_w -half_h]; new_corners = corners * R; if theta < 0 new_size = abs([new_corners(3,1)*2 new_corners(1,2)*2]); else new_size = abs([new_corners(1,1)*2 new_corners(2,2)*2]); end % zeropad image before rotating to take into account loss of pixels % during cropping vPad = ceil((new_size-size(mTemp))/2); % remove negative values vPad(vPad<0) = 0; mTemp = padarray(mTemp, vPad, 'both'); % rotate rectangle if bBicubic % - use Matlab method if choosing bicubic interpolation mTemp = imrotate(mTemp, theta, 'bicubic', 'crop'); else % - use C script of choosing nearest interpolation mTemp = rotate_matrix(double(mTemp), theta); end % crop again so only the relevant section is included in final image % We have replaced the two lines below with parameters defined earlier % in the global namespace, as we want all frames to have the same size. %new_w = round(rad_ext); %new_h = round(hor_ext*2 + sqrt(sum([mCoords(3,1)-mCoords(e,1) mCoords(3,2)-mCoords(e,2)].^2))); %end new_w = g_tWT.MovieInfo.ImCropSize(1);% * g_tWT.MovieInfo.ResizeFactor; new_h = g_tWT.MovieInfo.ImCropSize(2);% * g_tWT.MovieInfo.ResizeFactor; x = round((size(mTemp, 2) - new_w) / 2); y = round((size(mTemp, 1) - new_h) / 2); mCropImg{e} = mTemp(round(y:y+new_h), round(x:x+new_w)); if bDebug subplot(1,4,e+2) imagesc(mCropImg{e}); SetPlotProps; end end % Plot if bDebug subplot(1,4,1:2) imagesc(mImg(hor_ext:size(mImg,1)-hor_ext,rad_ext:size(mImg,2)-rad_ext)) title('Original') colormap gray; hold on scatter(mCoords(:,1),mCoords(:,2),'g.') % eyes/nose scatter(new_coords(:,1)-rad_ext, new_coords(:,2)-hor_ext, 'r.') % rect coords plot(new_coords([1 2 3 4 1], 1)-rad_ext, new_coords([1 2 3 4 1], 2)-hor_ext, 'r') SetPlotProps; drawnow end % make sure that both rectangles have the same dimensions before returning % them min_height = min([size(mCropImg{1},1) size(mCropImg{2},1)]); min_width = min([size(mCropImg{1},2) size(mCropImg{2},2)]); % crop outwards (from whisker roots) and downwards (from neck) mCropImg{1} = mCropImg{1}(1:min_height, (size(mCropImg{1},2)+1-min_width):end); mCropImg{2} = mCropImg{2}(1:min_height, 1:min_width); % flip right rectangle horizontally mCropImg{1} = fliplr(mCropImg{1}); return; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function SetPlotProps set(gca, 'xtick', [], 'ytick', [])
github
HelmchenLabSoftware/OCIA-master
wt_subtract_bg_frame.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_subtract_bg_frame.m
8,477
utf_8
aa677748a07abb05bd8819239e12c399
% WT_SUBTRACT_BG_FRAME % IMG_OUT = wt_subtract_bg_frame(IMG, F), where % IMG is the frame from which to subtract the background frame % F is the current frame number % IMG_OUT is IMG minus the background % % Subtract background frame from passed image. The passed coordinates are % used to select what portion of the frames to subtract, in case the passed % image has alredy been cropped. vCoords are in absolute coordinates. The % current-frame parameter is used to determine whcih series of frames to % subtract from the passed image, in case different background-frames have % been calculated (e.g. before object entry and after object entry) % % The background frame is low-pass filtered if a number has been entered in % the 'Low-pass background image (pixels)' field in the parameters GUI. The % value entered is used to determine the diameter (in pixels) of a low-pass % median filter. % % IMPORTANT NOTE: % If in the matrix where background frame series are specified any row % contains two zeros [0 0] then ALL background frames will be subtracted % from ALL frames! % function mImgOut = wt_subtract_bg_frame(varargin) global g_tWT persistent p_tBgFrames persistent p_nBGLowPass if nargin == 1 switch varargin{1} case 'reset' p_tBgFrames = struct([]); return; end else mImgIn = varargin{1}; vCoords = [1 1 g_tWT.MovieInfo.Width-1 g_tWT.MovieInfo.Height-1];% * g_tWT.MovieInfo.ResizeFactor; nCurrentFrame = varargin{2}; end bDebug = g_tWT.VerboseMode; % Iterate over p_cBgFrames and decide which background-frames to scrap and % which to keep. If all are scrapped, calculate all background frames. If % all are kept, then don't recalculate any of them. Here we also shuffle % the order of the background frames and case some are kept and new ones % are inserted. For instance, new background frames will be calculated if % the user changes the start- and stop-frame values of the background % frames in the GUI. % Select frame-series to average mAvgFrames = g_tWT.MovieInfo.AverageFrames; % Determine whether to subtract ALL background frames from current frame nZeroRow = find(any(~all(mAvgFrames,2))); if ~isempty(nZeroRow) bSubtractAll = 1; mAvgFrames(nZeroRow, :) = []; else, bSubtractAll = 0; end % Exit immediately if background frames should not be used if isempty(mAvgFrames) p_tBgFrames = struct([]); mImgOut = double(mImgIn); return; end % If the size of the background-frame smoothing window has changed, scrap % all existing background frames and calculate these again (and then smooth % with the new window) if p_nBGLowPass ~= g_tWT.MovieInfo.BGFrameLowPass p_tBgFrames = struct([]); % clear persistent variable (we concatenate the existing frames below) end p_nBGLowPass = g_tWT.MovieInfo.BGFrameLowPass; % Select which of the existing background frames to keep tTempFrames = struct([]); for bgA = 1:size(p_tBgFrames, 2) for bgB = 1:size(mAvgFrames, 1) if (p_tBgFrames(bgA).from == mAvgFrames(bgB,1)) ... & (p_tBgFrames(bgA).to == mAvgFrames(bgB,2)) % Background-frame already exists... mAvgFrames(bgB,:) = [NaN NaN]; nNewIndx = size(tTempFrames,2)+1; tTempFrames(nNewIndx).img = p_tBgFrames(bgA).img; tTempFrames(nNewIndx).from = p_tBgFrames(bgA).from; tTempFrames(nNewIndx).to = p_tBgFrames(bgA).to; end end end mAvgFrames(find(isnan(mAvgFrames))) = []; p_tBgFrames = struct([]); % clear persistent variable (we concatenate the existing frames below) % Determine how many background frames to calculate. if isempty(mAvgFrames), nNoBgFrames = 0; else, nNoBgFrames = size(mAvgFrames, 1); end % Initialize waitbar for bg = 1:nNoBgFrames if ~exist('hWaitBar'), hWaitBar = waitbar(0, ''); end % Update waitbar waitbar(bg/(nNoBgFrames+1), hWaitBar, sprintf('Calculating background-frame %d of %d', bg, nNoBgFrames)) nFrom = mAvgFrames(bg,1); % start range nTo = mAvgFrames(bg,2); % end range if nFrom == 0, nFrom = 1, end if nTo == 0, nTo = nFrom + 1; end if nFrom > nTo % check consistency in input wt_error('The first background frame has a higher frame-number than the last. Check values in Image->Parameters.') end nAviTo = nTo; % limit nTo to max frames if nTo > g_tWT.MovieInfo.NumFrames nAviTo = g_tWT.MovieInfo.NumFrames; end % Load background frames in chunks to avoid memory problems if g_tWT.MovieInfo.NoFramesToLoad >= (nTo - nFrom), vRanges = [nFrom nTo]; else, vRanges = nFrom:g_tWT.MovieInfo.NoFramesToLoad:nTo; end mAveragedFrames = []; for r = 2:length(vRanges) vRange = [vRanges(r-1) (vRanges(r)-1)]; % [min max] vFrames = max([1 vRange(1)]):min([vRange(2) g_tWT.MovieInfo.NumFrames]); % all frames to be loaded if isempty(g_tWT.MovieInfo.FilenameUncompressed) mFrames = wt_load_avi(g_tWT.MovieInfo.Filename, vFrames, 'noresize'); else mFrames = wt_load_avi(g_tWT.MovieInfo.FilenameUncompressed, vFrames, 'noresize'); end try, mFrames = double(mFrames); catch, wt_error('Out of memory. Try to reduce the number of background frames.'), end mAveragedFrame = mean(mFrames, 3); mAveragedFrames(:,:,r-1) = mAveragedFrame; end mAveragedFrame = mean(mAveragedFrames,3); % Crop image mAveragedFrame = imcrop(mAveragedFrame, vCoords);%./g_tWT.MovieInfo.ResizeFactor); % Smooth background image if isfield(g_tWT.MovieInfo, 'BGFrameLowPass') nLowPass = g_tWT.MovieInfo.BGFrameLowPass; if ~isempty(nLowPass) & (nLowPass > 1) mWin = ones(nLowPass); mAveragedFrame = conv2(mAveragedFrame, mWin, 'same') ./ prod(size(mWin)); end end % Store averaged frame in the persistent holder variable p_tBgFrames(bg).img = mAveragedFrame; p_tBgFrames(bg).from = mAvgFrames(bg,1); p_tBgFrames(bg).to = mAvgFrames(bg,2); end if exist('hWaitBar'), close(hWaitBar); end % Concatenate new background frames with the exisiting ones we stored in the beginning of this function p_tBgFrames = cat(2, p_tBgFrames, tTempFrames); % Sort background frames in ascending order by 'from' field [vNewOrder vNewIndxOrd] = sortrows(char(p_tBgFrames.from)); p_tBgFrames = p_tBgFrames(vNewIndxOrd); % Show all background frames in debug mode if bDebug hFig = findobj('Tag', 'SUBTRACT_BACKGROUND_WINDOW'); if isempty(hFig) hFig = figure; set(hFig, 'Tag', 'SUBTRACT_BACKGROUND_WINDOW', 'DoubleBuffer', 'on', 'Name', 'WT - SUBTRACT_BACKGROUND_WINDOW', 'numbertitle', 'off') else, figure(hFig), end clf for bg = 1:size(p_tBgFrames,2) subplot(2,max([3 size(p_tBgFrames,2)]),bg) imagesc(p_tBgFrames(bg).img); colormap gray; title(sprintf('BG frame %d-%d', p_tBgFrames(bg).from, p_tBgFrames(bg).to)) end end % Finally, subtract the appropriate background frame from the passed frame % (use input parameter nCurrentFrame to determine which background frame to % subtract) mBgFrame = zeros(size(mImgIn)); mImgOut = mImgIn; if bSubtractAll cAll = {p_tBgFrames(:).img}; mAll = cat(3, cAll{:,:,:}); mBgFrame = mean(mAll,3); mBgFrameRe = mBgFrame; mImgOut = double(mImgIn) - double(mBgFrameRe); else for bg = 1:size(p_tBgFrames,2) % Subtract background frame is there is a such one for the current frame if (nCurrentFrame >= p_tBgFrames(bg).from) & (nCurrentFrame <= p_tBgFrames(bg).to) % Check images have same dimensions if (size(mImgIn,1) == size(p_tBgFrames(bg).img,1)) & (size(mImgIn,2) == size(p_tBgFrames(bg).img,2)) mBgFrame = double(p_tBgFrames(bg).img); mBgFrameRe = mBgFrame; mBgFrameN = mBgFrameRe./max(max(mBgFrameRe)); mImgInN = double(mImgIn)./max(max(double(mImgIn))); mImgOut = mImgInN - mBgFrameN; else wt_error('Current frame and its background frame do not have the same dimensions.') end end end end % Plot original, background frame and adjusted image if bDebug subplot(2,3,4) imagesc(mImgIn); title('Original') subplot(2,3,5) imagesc(mBgFrame); title('Background') subplot(2,3,6) imagesc(mImgOut); title('Adjusted') colormap gray drawnow end return;
github
HelmchenLabSoftware/OCIA-master
wt_adjust_whisker_length.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_adjust_whisker_length.m
2,894
utf_8
390bc5df4dbfa6f89ebf615bca7636e6
% WT_ADJUST_WHISKER_LENGTH % Adjust whisker length to that of first known frame. % % Syntax: [vX, vY] = wt_adjust_whisker_length(I,X,Y), where % I = I'th whisker % X = vector of X splinepoints % Y = vector of Y splinepoints % Output variables: % X = adjusted X splinepoints % Y = adjusted Y splinepoints % % This function works in conjunction with the WT GUI. function [vX, vY] = wt_adjust_whisker_length(nChWhisker, vX, vY) global g_tWT vXorig = vX; vYorig = vY; % Make sure no values are equal on the x axis while 1 vIndx = find(~diff(vX)); if length(vIndx) == 0, break, end vX(vIndx+1) = vX(vIndx) + 3; end % Length of initially marked whisker nKnownFrames = find(g_tWT.MovieInfo.SplinePoints(1, 1, :, nChWhisker)); vXinit = g_tWT.MovieInfo.SplinePoints(:, 1, nKnownFrames(1), nChWhisker); vYinit = g_tWT.MovieInfo.SplinePoints(:, 2, nKnownFrames(1), nChWhisker); nWhiskerLength = GetWhiskerLength(vXinit, vYinit); % Length of new whisker try, nLen = GetWhiskerLength(vX, vY); catch, wt_error('Error when recalculating whisker length'); end if (length(vX) == 4) & (vX(end)>0 & vY(end)>0), nLastIndx = 4; else, nLastIndx = 3; end if nLen > nWhiskerLength % new whisker is LONGER than original vXX = min(vX((1:nLastIndx))):max(vX((1:nLastIndx))); % whisker spline in 1st known frame [vXX, vYY] = wt_spline(vX(1:nLastIndx), vY(1:nLastIndx), vXX); vCumLen = cumsum(sqrt(diff(vXX).^2 + diff(vYY).^2)); [nDiff, nDiffIndx] = min(abs(vCumLen - nWhiskerLength)); vX(nLastIndx) = vXX(nDiffIndx+1); vY(nLastIndx) = vYY(nDiffIndx+1); elseif nLen < nWhiskerLength % new whisker is SHORTER than original % Increase length of new whisker by 1 pix until its same length as original while nLen < nWhiskerLength % Extrapolate Y value at new X position vY(nLastIndx) = interp1(vX(1:nLastIndx), vY(1:nLastIndx), vX(nLastIndx)+1, 'spline', 'extrap'); vX(nLastIndx) = vX(nLastIndx)+1; try, nLen = GetWhiskerLength(vX, vY); catch, wt_error('Error when computing whisker length'), end end end % Sort splinepoint in case 2nd and 3rd swapped places (should be in % increasing order along X dimension) vIndx = find(vX & vY); mC = [vX vY]; mC(vIndx,:) = sortrows(mC(vIndx,:)); vX = mC(:,1); vY = mC(:,2); % Make sure no values are equal on the x axis while 1 vIndx = find(~diff(vX)); if length(vIndx) == 0, break, end vX(vIndx+1) = vX(vIndx) + 3; end return %%%% GET_WHISKER_LENGTH %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function nLen = GetWhiskerLength(vX, vY) % Remove 4th element if present AND zero vKeepXIndx = find(vX); vX = vX(vKeepXIndx); vY = vY(vKeepXIndx); vXX = min(vX):max(vX); % whisker spline in 1st known frame [vXX, vYY] = wt_spline(vX, vY, vXX); nLen = sum(sqrt(diff(vXX).^2 + diff(vYY).^2)); return;
github
HelmchenLabSoftware/OCIA-master
wt_mark_whisker.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_mark_whisker.m
9,460
utf_8
4d40afc1c5ad815e172aff1e9cf8b192
function wt_mark_whisker(varargin) % WT_MARK_WHISKER % Mark new whisker, or add/remove spline-points that define whiskerpoints. % Syntax: wt_mark_whisker(OPT), where % OPT is an optional string that runs one of the following % subroutines: % 'new' - mark a new whisker % 'addpoint' - add splinepoint to existing whisker % 'removepoint' - remove splinepoint from existing whisker % 'movebasepoint' - move the whisker base point % 'setfulllength' - mark the full length of the whisker % 'setlastframe' - mark the last frame on which to track the % whisker % % The default subroutine is 'new'. For all other subroutines, % you must provide a second parameter which is the whisker ID/index % to modify. if nargin >= 1 sSub = varargin{1}; nW = varargin{2}; else, sSub = 'new'; end switch sSub case 'new' MarkNewWhisker; case 'addpoint' AddPoint(nW); case 'removepoint' RemovePoint(nW); case 'setlastframe' SetLastFrame(nW); case 'setfulllength' SetFullLength(nW); return case 'movebasepoint' MoveBasePoint(nW); end wt_display_frame % refresh current frame return; %%%% MARKNEWWHISKER %%%%%%%%%%%%%%%%%%%%%%% function MarkNewWhisker global g_tWT nFirstFrame = round(get(g_tWT.Handles.hSlider, 'Value')); % If current frame is before head was tracked, move it to 1st frame with % head if ~isempty(g_tWT.MovieInfo.Nose) vIndx = find(~isnan(g_tWT.MovieInfo.Nose(:,1))); if nFirstFrame < vIndx(1), nFirstFrame = vIndx(1); end wt_display_frame(nFirstFrame); end axes(g_tWT.FrameAx); hold on vX = []; vY = []; hDots = []; try for i = 1:3 [vX(i), vY(i)] = ginput(1); % user can hit RETURN hDots(end+1) = line(vX(i), vY(i)); set(hDots(end), 'color', 'g', 'marker', '.') end catch return % in case the user did not input data but instead hit RETURN end delete(hDots) % Sort points mCoords = round(sortrows([vX' vY'])); % If this is a two-sided frame, detect which side this whisker belongs to nCurrentFrame = get(g_tWT.Handles.hSlider, 'Value'); if ~isempty(g_tWT.MovieInfo.EyeNoseAxLen) if ~isnan(prod(g_tWT.MovieInfo.Nose(nCurrentFrame, :))) % head is known only if nose is known vAxSize = get(g_tWT.FrameAx, 'XLim'); % Locate side based on x val of first point if mCoords(1,1) < vAxSize(2)/2 % Left part of frame (right side of rat). Don't change mCoords nSide = 1; else % Right part of frame (left side of rat) % Change mCoords to absolute coordinates in right frame part mCoords(:,1) = mCoords(:,1) - vAxSize(2)/2; % only change X nSide = 2; end else, nSide = 1; end else nSide = 1; end % Save whisker splinepoints if isempty(g_tWT.MovieInfo.SplinePoints), nIndx = 1; else, nIndx = size(g_tWT.MovieInfo.SplinePoints, 4) + 1; end g_tWT.MovieInfo.SplinePoints(1:3, 1:2, nFirstFrame, nIndx) = mCoords;% ./ g_tWT.MovieInfo.ResizeFactor; g_tWT.MovieInfo.Angle(nFirstFrame, nIndx) = 0; g_tWT.MovieInfo.Intersect(nFirstFrame, 1:2, nIndx) = [0 0]; g_tWT.MovieInfo.MidPointConstr(1:2, nIndx) = [0 0]'; g_tWT.MovieInfo.WhiskerSide(nIndx) = nSide; % 0=left, 1=right g_tWT.MovieInfo.LastFrame(nIndx) = g_tWT.MovieInfo.NumFrames; % Set whisker identity wt_set_identity(nIndx); return; %%%% ADDPOINT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function AddPoint(nW) global g_tWT nPtLim = 4; % max num of allowed splinepoints nCurrFrame = round(get(g_tWT.Handles.hSlider, 'Value')); mWhisker = g_tWT.MovieInfo.SplinePoints(:,:,nCurrFrame,nW); if size(mWhisker,1) >= 4 if mWhisker(4,1) ~= 0 hWarnDlg = warndlg(sprintf('The maximum number of allowed points (%d) has already been reached.', nPtLim), 'WT Error'); waitfor(hWarnDlg); return; else mWhisker = mWhisker(1:3,:); end end % Get new point and check that its within X bounds of existing whisker vAxSize = get(g_tWT.FrameAx, 'XLim'); while 1 [nX, nY] = ginput(1); % get position of new object if g_tWT.MovieInfo.WhiskerSide(nW) == 2 nX = nX - vAxSize(2)/2; end if nX <= max(mWhisker(:,1)) & nX >= min(mWhisker(:,1)), break else sAns = questdlg('The marked point is outside boundaries of current whisker.', ... 'Error in input', ... 'Try again', 'Cancel', 'Try again' ); if strcmp(sAns, 'Cancel'), return; end end end plot(nX + vAxSize(2)/2, nY, 'r.'); % plot new point mWhisker = round(sortrows([mWhisker; nX nY])); if size(g_tWT.MovieInfo.SplinePoints,1) ~= 4 g_tWT.MovieInfo.SplinePoints(4,1:2,:,nW) = 0; % expand all frames with an extra row of values (NaN) end g_tWT.MovieInfo.SplinePoints(:,:,nCurrFrame,nW) = mWhisker; % save new point return; %%%% REMOVEPOINT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function RemovePoint(nW) global g_tWT nCurrFrame = get(g_tWT.Handles.hSlider, 'Value'); mWhisker = g_tWT.MovieInfo.SplinePoints(:,:,nCurrFrame,nW); if size(mWhisker,1) >= 4 if mWhisker(4,1) == 0 hWarnDlg = warndlg('There are no points to delete.', 'WT Error'); waitfor(hWarnDlg); return; end end [nX, nY] = ginput(1); % get position of new object vAxSize = get(g_tWT.FrameAx, 'XLim'); if g_tWT.MovieInfo.WhiskerSide(nW) == 2 nX = nX - vAxSize(2)/2; end % Find closest point (only 2nd or 3rd) [y, nIndx] = min(sqrt(abs(mWhisker(2:3,1)-nX).^2 + abs(mWhisker(2:3,2)-nY).^2)); nIndx = nIndx + 1; % Verify removal of point sAns = questdlg(sprintf('You have chosen to delete point number %d from the left. Please confirm.', nIndx), ... 'WT Confirm', ... 'OK', 'Cancel', 'Cancel'); if strcmp(sAns, 'Cancel'), return; end % Remove point switch nIndx case 2 % remove 1st midpoint g_tWT.MovieInfo.SplinePoints(2:3,:,nCurrFrame,nW) = g_tWT.MovieInfo.SplinePoints(3:4,:,nCurrFrame,nW); g_tWT.MovieInfo.SplinePoints(4,:,nCurrFrame,nW) = 0; case 3 % remove 2nd midpoint g_tWT.MovieInfo.SplinePoints(3,:,nCurrFrame,nW) = g_tWT.MovieInfo.SplinePoints(4,:,nCurrFrame,nW); g_tWT.MovieInfo.SplinePoints(4,:,nCurrFrame,nW) = 0; end return; %%%% SETLASTFRAME %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function SetLastFrame(nW); global g_tWT % default is current frame sLastFrame = inputdlg('Set last frame to track', 'Set last frame', 1, {num2str(get(g_tWT.Handles.hSlider, 'value'))}); % Change last frame value unless user hit Cancel or eXit if ~isempty(sLastFrame) g_tWT.MovieInfo.LastFrame(nW) = str2num(char(sLastFrame)); end return; %%%% SETFULLLENGTH %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function SetFullLength(nW); global g_tWT if ~isfield(g_tWT.MovieInfo, 'WhiskerLength') g_tWT.MovieInfo.WhiskerLength = zeros(1,size(g_tWT.MovieInfo.SplinePoints,4)).*NaN; elseif length(g_tWT.MovieInfo.WhiskerLength) < size(g_tWT.MovieInfo.SplinePoints,4) g_tWT.MovieInfo.WhiskerLength(nW) = NaN; end sCurrLen = num2str(g_tWT.MovieInfo.WhiskerLength(nW)); sAns = questdlg('How do you want to set the full whisker length?', 'WT', 'Measure','Enter value','Cancel','Measure'); switch sAns case 'Enter value' sLen = inputdlg('Enter whisker length in millimeters', 'WT', 1, {sCurrLen}); if isempty(sLen), return, end nLen = str2num(cell2mat(sLen)); case 'Measure' % Check that movie is calibrated if isempty(g_tWT.MovieInfo.CalBarLength) | all(g_tWT.MovieInfo.CalibCoords(:) == 0) wt_error('You must calibrate before marking the full whisker length. Select Image -> Calibrate... from the menu.') end if g_tWT.DisplayMode == 1, wt_toggle_display_mode, end, wt_display_frame % absolute view mode axes(g_tWT.FrameAx); hold on % get points vX = []; vY = []; try for i = 1:3 [vX(i), vY(i)] = ginput(1); plot(vX(i), vY(i), 'g.') end catch, return, end mCoords = round(sortrows([vX' vY'])); % sort vXX = mCoords(1,1):mCoords(end,1); [vXX, vYY] = wt_spline(mCoords(:,1), mCoords(:,2), vXX); % spline plot(vXX, vYY, 'w:', 'linewidth', 2) % plot whisker nLen = sum(sqrt(diff(vXX).^2 + diff(vYY).^2)); % whisker length (pixels) nLen = nLen / g_tWT.MovieInfo.PixelsPerMM; % length (mm) msgbox(sprintf('Whisker length is %.1f mm', nLen), 'WT') case 'Cancel', return end g_tWT.MovieInfo.WhiskerLength(nW) = nLen; % length (mm) g_tWT.MovieInfo.WhiskerLength(find(g_tWT.MovieInfo.WhiskerLength == 0)) = NaN; return %%%% MOVEBASEPOINT %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function MoveBasePoint(nW) global g_tWT nCurrentFrame = get(g_tWT.Handles.hSlider, 'Value'); [nX, nY] = ginput(1); % If this is a two-sided frame, detect which side this whisker belongs to nCurrentFrame = get(g_tWT.Handles.hSlider, 'Value'); if ~isempty(g_tWT.MovieInfo.EyeNoseAxLen) % if head has been tracked... if ~isnan(prod(g_tWT.MovieInfo.Nose(nCurrentFrame, :))) % head is known only if nose is known vAxSize = get(g_tWT.FrameAx, 'XLim'); if nX > vAxSize(2)/2 % Right part of frame (left side of rat) nX = nX - vAxSize(2)/2; % change X end end end g_tWT.MovieInfo.SplinePoints(1,1:2,nCurrentFrame,nW) = [round(nX) nY]; wt_display_frame; return
github
HelmchenLabSoftware/OCIA-master
wt_user_variables.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_user_variables.m
2,835
utf_8
74f02db2f7a53d0fb75ebcb184aaae2d
function wt_user_variables(varargin) % Create and modify user-defined variables % The purpose of this function is to provide the user with an easy way to % store experiment variables inside the WT .mat file. These user variables % can also be variables that are accessed from within scripts. % % Note that adding or modifying experiment variables can be performed as a % batch job. % Copy user variables from persistent variable instead of GUI/ % This option is used for batch jobs, i.e. copying the variables of one % movies to all other movies in directory/tree if ~isempty(varargin) if strcmp(varargin{1}, 'copyfrommem') RetrieveUserVariables(); return; end end global g_tWT; % Check if variables window is already open. If YES, then retrieve and save % variables, and close window hFig = findobj('Tag', 'WTUserVariables', 'type', 'figure'); if ~isempty(hFig) RetrieveUserVariables(); return end hFig = figure('closeRequestFcn', 'set(gcbf,''userdata'',''closed'')'); cColumnNames = {'Variable', 'Value', 'Type'}; cColumnFormat = {'char', 'char', {'String','Number'}}; cColumnEditable = [true true true]; cData = repmat({''},200,3); if isfield(g_tWT.MovieInfo, 'tUserVariables') for i = 1:length(g_tWT.MovieInfo.tUserVariables) cData{i, 1} = g_tWT.MovieInfo.tUserVariables(i).sVariable; cData{i, 2} = g_tWT.MovieInfo.tUserVariables(i).sValue; cData{i, 3} = g_tWT.MovieInfo.tUserVariables(i).sType; end end set(hFig, 'color', [.2 .2 .2], 'Name', 'WT User Variables', 'NumberTitle', 'off', 'ToolBar', 'none', ... 'menuBar','none', 'Tag', 'WTUserVariables') hTable = uitable('Units', 'normalized','Position', [0 0 1 1], 'Data', cData, 'ColumnName', ... cColumnNames, 'ColumnEditable', cColumnEditable, 'ColumnFormat', cColumnFormat, ... 'ColumnWidth', {120, 282, 100}, 'Tag', 'WTUserVariablesTable'); % Create callback to this function when window is closed set(hFig, 'CloseRequestFcn', 'wt_user_variables') return %%%% Retrieve and save user variables function RetrieveUserVariables global g_tWT persistent cData % Get figure handle hFig = findobj('Tag', 'WTUserVariables', 'type', 'figure'); % If no window is open, then used persistent variable to fill g_tWT if ~isempty(hFig) % Get table handle hTable = findobj('Tag', 'WTUserVariablesTable', 'type', 'uitable'); cData = get(hTable, 'data'); % modified data from table end g_tWT.MovieInfo.tUserVariables = struct([]); % clear variables for c = 1:size(cData, 1) if isempty(cData{c,1}) | isempty(cData{c,2}), continue, end g_tWT.MovieInfo.tUserVariables(end+1).sVariable = cData{c, 1}; g_tWT.MovieInfo.tUserVariables(end).sValue = cData{c, 2}; g_tWT.MovieInfo.tUserVariables(end).sType = cData{c, 3}; end % Delete user variables window delete(hFig) return
github
HelmchenLabSoftware/OCIA-master
wt_select_directory_tree.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_select_directory_tree.m
2,153
utf_8
417e8fdbcd1f4fd60f3f876e7994ed58
function wt_select_directory_tree % WT_SELECT_DIRECTORY_TREE % Select all movies recursively from all sub-directories below a selected % top-level directory. % % This function prompts the user to select a top-level directory and % generates a list of all AVI movies, with complete paths, contained in the % entire directory tree under the selected top-level directory. % % The list of retrieved movies can be accessed through the menu item Files % -> Movies. % global g_tWT % Select top-level directory if ~isempty(g_tWT.AccessedPaths), sCurrPath = g_tWT.AccessedPaths{1}; else, sCurrPath = '0'; end sPath = uigetdir(sCurrPath, 'Select top-level directory of selection'); if ~all(sPath), return; end % cancel if no path was selected % Iterate recursively over all sub-directories and extract paths of AVI % movies cSelection = GetFilePaths(sPath, '.avi'); % Display error and abort if no AVIs were found if isempty(cSelection) warndlg('No AVI movies were found below the chosen directory', 'No movies found') return end % Reset current selection list g_tWT.Movies = struct([]); % Assign new selection to g_tWT for f = 1:length(cSelection) g_tWT.Movies(f).filename = wt_check_path(cSelection{f}); end % Re-initialize GUI wt_prep_gui; % Load and display first movie wt_load_movie(1); return % --- Get paths of videos in a directory and its sub-directories % Recursive search for .bin files from a selected directory % inputs: sSuffix Find files this file extension (e.g. '.avi') % sBaseDir Base directory function cPaths = GetFilePaths(sBaseDir, sSuffix) cPaths = {}; tDirList = dir(sBaseDir); for t1 = 3:length(tDirList) if tDirList(t1).isdir % depth = 1 % recursively call this function sBaseDirRecurs = wt_check_path([sBaseDir '/' tDirList(t1).name]); cPaths2 = GetFilePaths(sBaseDirRecurs, sSuffix); cPaths = {cPaths{:}, cPaths2{:}}; else % Add .bin files to paths cell if strcmp(tDirList(t1).name(end-3:end), sSuffix) sFilename = wt_check_path([sBaseDir '/' tDirList(t1).name]); cPaths{end+1} = sFilename; end end end
github
HelmchenLabSoftware/OCIA-master
wt_set_last_frame.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_set_last_frame.m
1,021
utf_8
6199a5377c8aeda55264f84ac6b28483
%%%% WT_SET_LAST_FRAME %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function wt_set_last_frame % Set Last Frame for all Whiskers defined so far % Must check for Cancel or eXit % % Whisker Tracker (WT) % % Authors: Per Magne Knutsen, Dori Derdikman % % (c) Copyright 2004 Yeda Research and Development Company Ltd., % Rehovot, Israel % % This software is protected by copyright and patent law. Any unauthorized % use, reproduction or distribution of this software or any part thereof % is strictly forbidden. % % Citation: % Knutsen, Derdikman, Ahissar (2004), Tracking whisker and head movements % of unrestrained, behaving rodents, J. Neurophys, 2004, IN PRESS % global g_tWT % default is current frame L = inputdlg('Set last frame to track', 'Set last frame', 1, {num2str(get(g_tWT.Handles.hSlider, 'value'))} ); % Change last frame value unless user hit Cancel or eXit if ~isempty(L) for nW = 1:size(g_tWT.MovieInfo.SplinePoints, 4) g_tWT.MovieInfo.LastFrame(nW) = str2num(char(L)); end end
github
HelmchenLabSoftware/OCIA-master
wt_create_outline.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_create_outline.m
5,411
utf_8
5fca5ab8f2f3db6a7d388de56b54c24c
function wt_create_outline(sOption, nOL) % WT_CREATE_OUTLINE Mark lines that denote various axis in image % This function allows points, lines, polygons etc. to be labelled for % later data analysis. WT itself does not use either of these % % wt_create_outline('add', OL) % wt_create_outline('draw', OL) % wt_create_outline('copy', OL) % wt_create_outline('paste', OL) % If OL is NaN, a new object will be created % wt_create_outline('delete', OL) % wt_create_outline('name', OL) % wt_create_outline('hide', OL) global g_tWT switch lower(sOption) case 'add' set(g_tWT.Handles.hStatusText, 'string', 'LEFT = Add point, MIDDLE = Exit, RIGHT = Undo last'); tOutline = AddOutline; set(g_tWT.Handles.hStatusText, 'string', ''); if isempty(tOutline.Coords), return, end % return if no coordinates entered tOutline.Name = {''}; if ~isfield(g_tWT.MovieInfo, 'Outlines') g_tWT.MovieInfo.Outlines = tOutline; else g_tWT.MovieInfo.Outlines(end+1) = tOutline; end wt_set_identity(length(g_tWT.MovieInfo.Outlines), 'outline') wt_display_frame case 'draw' DrawOutline(nOL) case 'copy' CopyPasteOutline(nOL, 'copy') case 'paste' CopyPasteOutline(nOL, 'paste') wt_display_frame case 'delete' % delete outline g_tWT.MovieInfo.Outlines(nOL) = []; delete(findobj('tag',sprintf('outline-%d', nOL))) wt_display_frame case 'deleteall' % delete ALL outline if isfield(g_tWT.MovieInfo, 'Outlines') g_tWT.MovieInfo = rmfield(g_tWT.MovieInfo, 'Outlines'); wt_prep_gui wt_display_frame end case 'name' % rename wt_set_identity(nOL, 'outline') case 'hide' % hide all outlines if ~isfield(g_tWT, 'HideOutlines'), g_tWT.HideOutlines = 0; end g_tWT.HideOutlines = ~g_tWT.HideOutlines; switch g_tWT.HideOutlines % update user-menu case 0, sStatus = 'off'; case 1, sStatus = 'on'; end set(findobj('Label', 'Hide outlines'), 'checked', sStatus); wt_display_frame otherwise return end return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function DrawOutline(nOL) global g_tWT hOL = findobj('Tag', sprintf('outline-%d', nOL)); vX = g_tWT.MovieInfo.Outlines(nOL).Coords(:,1); vY = g_tWT.MovieInfo.Outlines(nOL).Coords(:,2); if ~isempty(hOL) % refresh if g_tWT.HideOutlines % hide outlines set(hOL, 'XData', vX, 'YData', vY, 'Visible', 'off') else set(hOL, 'XData', vX, 'YData', vY, 'Visible', 'on') end else % redraw if ~isfield(g_tWT, 'HideOutlines'), g_tWT.HideOutlines = 0; end if g_tWT.HideOutlines % hide outlines hOL = plot(vX, vY, 'wx-', 'Tag', sprintf('outline-%d', nOL), 'Visible', 'off'); else hOL = plot(vX, vY, 'wx-', 'Tag', sprintf('outline-%d', nOL), 'Visible', 'on'); end end hMenu = uicontextmenu; set(hOL, 'uicontextmenu', hMenu) uimenu(hMenu, 'Label', 'Set name', 'Callback', [sprintf('wt_create_outline(''name'',%d)', nOL)]) uimenu(hMenu, 'Label', 'Delete', 'Callback', [sprintf('wt_create_outline(''delete'',%d)', nOL)]) uimenu(hMenu, 'Label', 'Copy', 'Callback', [sprintf('wt_create_outline(''copy'',%d)', nOL)]) uimenu(hMenu, 'Label', 'Paste', 'Callback', [sprintf('wt_create_outline(''paste'',%d)', nOL)]) return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function CopyPasteOutline(nOL, sAction) global g_tWT persistent vCopiedX persistent vCopiedY persistent sCopiedName hOL = findobj('Tag', sprintf('outline-%d', nOL)); switch sAction case 'copy' vCopiedX = g_tWT.MovieInfo.Outlines(nOL).Coords(:,1); vCopiedY = g_tWT.MovieInfo.Outlines(nOL).Coords(:,2); sCopiedName = g_tWT.MovieInfo.Outlines(nOL).Name; case 'paste' if isempty(vCopiedX) | isempty(vCopiedY) uiwait(warndlg('Nothing to paste')) return end if ~isfield(g_tWT.MovieInfo, 'Outlines') g_tWT.MovieInfo.Outlines = struct([]); end if isnan(nOL) % create new outline g_tWT.MovieInfo.Outlines(end+1).Coords = [vCopiedX vCopiedY]; g_tWT.MovieInfo.Outlines(end).Name = sCopiedName; else % copy coordinates into currently selected outline g_tWT.MovieInfo.Outlines(nOL).Coords = [vCopiedX vCopiedY]; end end return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function tOutline = AddOutline() vX = []; vY = []; hOutline = plot(0,0,'wx-'); % outline handle while 1 [nX, nY, nButton] = ginput(1); switch nButton case 1 % left ADD POINT vX(end+1) = nX; vY(end+1) = nY; case 3 % middle UNDO LAST POINT if ~isempty(vX) vX(end) = []; vY(end) = []; end case 2 % right FINISHED break; end set(hOutline, 'xdata', vX, 'ydata', vY) end delete(hOutline) tOutline.Coords = [vX' vY']; return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
github
HelmchenLabSoftware/OCIA-master
wt_copy_paste_whisker.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/wt_copy_paste_whisker.m
2,350
utf_8
1aa4c51e190eed32144a0a9ad9a72997
function wt_copy_paste_whisker(sOption, nW) % Copy/paste a selected whisker to/from clipoard switch sOption case 'copy' CopyPasteWhisker(nW, 'copy'); case 'paste' CopyPasteWhisker(nW, 'paste'); wt_display_frame; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function CopyPasteWhisker(nW, sAction) global g_tWT persistent sCopiedName persistent mCopiedCoords nCurrFrame = g_tWT.CurrentFrameBuffer.Frame; switch sAction case 'copy' % Get current frame mCopiedCoords = g_tWT.MovieInfo.SplinePoints(:,:,nCurrFrame,nW); % copy current frame only sCopiedName = cell2mat(g_tWT.MovieInfo.WhiskerIdentity{nW}); if ~isempty(sCopiedName) wt_set_status(['Whisker ' sCopiedName ' has been copied to the clipboard']) else wt_set_status(['Whisker ' sCopiedName 'has been copied to the clipboard']) end case 'paste' if isempty(mCopiedCoords) wt_set_status('No available whisker in clipboard to paste') return end % New whisker index if isempty(g_tWT.MovieInfo.SplinePoints) nNewW = 1; else nNewW = size(g_tWT.MovieInfo.SplinePoints, 4) + 1; end % Save whisker data % Note: Copied whisker is copied into current frame g_tWT.MovieInfo.SplinePoints(:,:,nCurrFrame,nNewW) = mCopiedCoords; g_tWT.MovieInfo.Angle(1:nCurrFrame, nNewW) = NaN; g_tWT.MovieInfo.Angle(nCurrFrame, nNewW) = 0; g_tWT.MovieInfo.Intersect(1:nCurrFrame, 1:2, nNewW) = [NaN NaN]; g_tWT.MovieInfo.Intersect(nCurrFrame, 1:2, nNewW) = [0 0]; g_tWT.MovieInfo.MidPointConstr(1:2, nNewW) = [0 0]'; g_tWT.MovieInfo.WhiskerSide(nNewW) = 1; % 0=left, 1=right g_tWT.MovieInfo.LastFrame(nNewW) = g_tWT.MovieInfo.NumFrames; % TODO: Change all zeros to NaNs in SplinePoints! %vIndx = find(g_tWT.MovieInfo.SplinePoints(:,:,:,nNewW) == 0); if isempty(sCopiedName) g_tWT.MovieInfo.WhiskerIdentity{nNewW} = ''; else g_tWT.MovieInfo.WhiskerIdentity{nNewW} = mat2cell(sCopiedName); end wt_set_status('') end return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
github
HelmchenLabSoftware/OCIA-master
checkfilename.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/bin/checkfilename.m
510
utf_8
6739291d3d5ed243836882af670df101
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Converts between forward and backward slash on Windows and Linux filesystems function sFilename = CheckFilename(sFilename) if ispc sFilename = strrep(sFilename, '/', '\'); sFilename = strrep(sFilename, '\\', '\'); elseif isunix sFilename = strrep(sFilename, '\', '/'); sFilename = strrep(sFilename, '//', '/'); end return %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
github
HelmchenLabSoftware/OCIA-master
wt_create_filters.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/bin/wt_create_filters.m
690
utf_8
77a8b948154ca3fc7b9fcc69b7081298
%%%% WT_CREATE_FILTERS %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % create a filter for each angle for checking "whiskeriness" function filters_vec = wt_create_filters(whisker_width,whisker_length) flt = zeros(whisker_length); start_ind = ceil(whisker_length/2)-floor(3*whisker_width/2); flt(start_ind:start_ind+3*whisker_width-1,:) = ... [0.5 * ones(whisker_width,whisker_length); ... -ones(whisker_width,whisker_length); ... 0.5 * ones(whisker_width,whisker_length)] ... /whisker_width/ whisker_length; min_ang = -90; max_ang = 90; for ang=min_ang:max_ang filters_vec(:,:,ang-min_ang+1) = imrotate(flt,-ang,'bicubic','crop'); end
github
HelmchenLabSoftware/OCIA-master
ExportToExcel.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/wt_knutsen/bin/windows/ExportToExcel.m
1,230
utf_8
9a793be148c08ea1554add206bccaf28
% ExportToExcel(cHeaders, cData) % by Naama Rubin function ExportToExcel(cHeaders, cData) % Open new instance of Excel Excel = actxserver('Excel.Application'); set(Excel, 'Visible', 1); % Create new workbook Workbooks = Excel.Workbooks; Workbook = invoke(Workbooks, 'Add'); Sheets = Excel.ActiveWorkBook.Sheets; % Sheet columns cCols = {'A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z'}; % Make the 1st sheet active invoke(get(Sheets, 'Item', 1), 'Activate'); Activesheet = Excel.Activesheet; % Iterate over cells that contain data for c = 1:length(cHeaders) % Insert header Range = get(Activesheet, 'Range', sprintf('%s1', cCols{c}), sprintf('%s1', cCols{c})); set(Range, 'Value', cHeaders{c}) % Insert data nLastRow = length(cData{c}); Range = get(Activesheet, 'Range', sprintf('%s2', cCols{c}), sprintf('%s%d', cCols{c}, nLastRow)); set(Range, 'Value', cData{c}) % Remove NaN's in data vNaNIndx = find(isnan(cData{c})); for i = 1:length(vNaNIndx) Range = get(Activesheet, 'Range', sprintf('%s%d', cCols{c}, vNaNIndx(i)+1), sprintf('%s%d', cCols{c}, vNaNIndx(i)+1)); set(Range, 'Value', '') end end return;
github
HelmchenLabSoftware/OCIA-master
concatanateSegmentsOriginalMovie.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/concatanate/concatanateSegmentsOriginalMovie.m
1,415
utf_8
9c753d4f1fb2ae25de3fc6958222f7a6
function f= concatanateSegments(dirname) list = dir(dirname); i=3; oldExpName='Experiment'; whiskingAll = []; mkdir(fullfile(dirname,'whiskByTrial')); count = 0; for i=3:length(list) fname = list(i).name; ind=strfind(fname,'_Whisker_Tracking'); if(~isempty(ind)) expname = fname(1:ind-1); load(fullfile(dirname,fname)); if (strcmp(oldExpName,expname)) whiskingAll = [whiskingAll; MovieInfo.AvgWhiskerAngle']; else if ~isempty(whiskingAll) count = count+1; save(fullfile(dirname,'whiskByTrial',[oldExpName 't' num2str(count) '.mat']),'whiskingAll'); whiskingAll = []; end whiskingAll = [whiskingAll; MovieInfo.AvgWhiskerAngle']; end oldExpName = expname; end end count=count+1; save(fullfile(dirname,'whiskByTrial',[oldExpName 't' num2str(count) '.mat']),'whiskingAll'); %% subdirname=fullfile(dirname,'whiskByTrial'); sublist = dir(subdirname); load(fullfile(subdirname,sublist(3).name)); [nr nc] = size(whiskingAll); whiskAngle = nan(nr+5,numel(sublist)-2); for i=3:numel(sublist) load(fullfile(subdirname,sublist(i).name)); whiskAngle(1:length(whiskingAll),i-2)=whiskingAll; end save(fullfile(dirname, 'whiskAngle.mat'),'whiskAngle'); xlswrite('whiskAngle',whiskAngle); end
github
HelmchenLabSoftware/OCIA-master
concatanateSegments.m
.m
OCIA-master/other/functions_widefield/whisker_tracking/concatanate/concatanateSegments.m
1,415
utf_8
f8c5c57461919a03ee74e82fcc5004ed
function f= concatanateSegments(dirname) list = dir(dirname); i=3; oldExpName='Experiment'; whiskingAll = []; mkdir(fullfile(dirname,'whiskByTrial')); count = 0; for i=3:length(list) fname = list(i).name; ind=strfind(fname,'_Whisker_Tracking'); if(~isempty(ind)) expname = fname(1:ind-3); load(fullfile(dirname,fname)); if (strcmp(oldExpName,expname)) whiskingAll = [whiskingAll; MovieInfo.AvgWhiskerAngle']; else if ~isempty(whiskingAll) count = count+1; save(fullfile(dirname,'whiskByTrial',[oldExpName 't' num2str(count) '.mat']),'whiskingAll'); whiskingAll = []; end whiskingAll = [whiskingAll; MovieInfo.AvgWhiskerAngle']; end oldExpName = expname; end end count=count+1; save(fullfile(dirname,'whiskByTrial',[oldExpName 't' num2str(count) '.mat']),'whiskingAll'); %% subdirname=fullfile(dirname,'whiskByTrial'); sublist = dir(subdirname); load(fullfile(subdirname,sublist(3).name)); [nr nc] = size(whiskingAll); whiskAngle = nan(nr+5,numel(sublist)-2); for i=3:numel(sublist) load(fullfile(subdirname,sublist(i).name)); whiskAngle(1:length(whiskingAll),i-2)=whiskingAll; end save(fullfile(dirname, 'whiskAngle.mat'),'whiskAngle'); xlswrite('whiskAngle',whiskAngle); end
github
HelmchenLabSoftware/OCIA-master
makePureTone_new.m
.m
OCIA-master/other/functions_widefield/Iwen_auditory_functions/makePureTone_new.m
1,496
utf_8
680b0d87131bb0a6a09654fa8797c3c8
function s = makePureTone_new(freqs,duration,varargin) % generate a pure tone % in1 ... carrier frequency in Hz % in2 ... duration in s % in3 ... sampling frequency in Hz {44100} % in4 ... play tone {0}; 0 or 1 % in5 ... save wav file {[]}; filename of wav file % out1 ... the sound vector s % this file written by Henry Luetcke ([email protected]) if nargin > 2 sf = varargin{1}; if isempty(sf) sf = 44100; end else sf = 44100; end if nargin > 3 doPlay = varargin{2}; else doPlay = 0; end if nargin > 4 saveWav = varargin{3}; else saveWav = []; end modFreq = 0; % modulation frequency modIndex = 1; % modulation index rampDur = 0.1; % ramp duration (fraction of total duration, max. 0.5) for i = 1:length(freqs) % make the sound s = MakeSound(sf,duration,freqs(i),modFreq,modIndex,rampDur); if doPlay sound(s,sf); end if ~isempty(saveWav) wavwrite(s,sf,16,saveWav); end end function s = MakeSound(sf,d,f,mf,mi,rd) % frequency modulated sound n = sf * d; % number of samples c = (1:n) / sf; % carrier data preparation c = 2 * pi * f * c; % m = (1:n) / sf; % modulator data preparation % m = mi * cos(2 * pi * mf * m); % sinusoidal modulation m = 0; s = sin(c + m); % frequency modulation % ramp rd = d .* rd; nr = floor(sf * rd); r = sin(linspace(0, pi/2, nr)); r = [r, ones(1, n - nr * 2), fliplr(r)]; % make ramped sound s = s .* r;
github
HelmchenLabSoftware/OCIA-master
TDMS_dataToGroupChanStruct_v4.m
.m
OCIA-master/other/functions_widefield/behavior_functions/import_lick_data/TDMS_dataToGroupChanStruct_v4.m
2,718
utf_8
0a6dab50f4d81124788a530edfe98382
function output = TDMS_dataToGroupChanStruct_v4(inputStruct,varargin) %TDMS_dataToGroupChanStruct_v4 % % NOTE: This reproduces the data structure for the old lab functionality % of the function getStructTDM % % See Also: TDMS_genvarname2, TDMS_readTDMSFile REPLACE_STR = '_'; PREPEND_STR = 'p_'; PREPEND_GRP_STRING = 'g_'; PREPEND_CHAN_STRING = 'c_'; ALWAYS_PREPEND = false; PROP_NAME = 'Props'; propNames = inputStruct.propNames; propValues = inputStruct.propValues; groupIndices = inputStruct.groupIndices; groupNames = inputStruct.groupNames; chanIndices = inputStruct.chanIndices; chanNames = inputStruct.chanNames; rootIndex = inputStruct.rootIndex; data = inputStruct.data; groupNames = cellfun(@(x) TDMS_genvarname2(x,REPLACE_STR,PREPEND_GRP_STRING,ALWAYS_PREPEND),groupNames,'UniformOutput',false); rootPropStruct = propsToStruct(propNames{rootIndex},propValues{rootIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); output = struct(PROP_NAME,rootPropStruct); for iGroup = 1:length(groupIndices) curGroupIndex = groupIndices(iGroup); curChanIndices = chanIndices{iGroup}; curChanNames = chanNames{iGroup}; curChanNames = cellfun(@(x) TDMS_genvarname2(x,REPLACE_STR,PREPEND_CHAN_STRING,ALWAYS_PREPEND),curChanNames,'UniformOutput',false); groupPropStruct = propsToStruct(propNames{curGroupIndex},propValues{curGroupIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); groupStruct = struct('name',groupNames(iGroup),PROP_NAME,groupPropStruct); for iChan = 1:length(curChanIndices) curChanIndex = curChanIndices(iChan); chanPropStruct = propsToStruct(propNames{curChanIndex},propValues{curChanIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); chanStruct = struct('name',curChanNames{iChan},PROP_NAME,chanPropStruct,... 'data',[]); chanStruct.data = data{curChanIndex}; %NOTE: I had a case statement in case the data type was a string, %which would change the interpretation of the struct input if strcmp(chanStruct.name,'name') error('The variable "name" for a channel is off limits, need a different conversion wrapper (probably 2)') end groupStruct.(TDMS_genvarname2(chanStruct.name,... REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = chanStruct; end output.(TDMS_genvarname2(groupStruct.name,... REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = groupStruct; end end function propStruct = propsToStruct(names,values,REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND) propStruct = struct([]); for iProp = 1:length(names) propStruct(1).(TDMS_genvarname2(names{iProp},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = values{iProp}; end end
github
HelmchenLabSoftware/OCIA-master
TDMS_dataToGroupChanStruct_v3.m
.m
OCIA-master/other/functions_widefield/behavior_functions/import_lick_data/TDMS_dataToGroupChanStruct_v3.m
2,710
utf_8
1ca966df0513a1925134cd2633570a53
function output = TDMS_dataToGroupChanStruct_v3(inputStruct,varargin) %TDMS_dataToGroupChanStruct_v3 % % translates objects AND properties to valid field names % % Similar to TDMS_dataToGroupChanStruct_v1, but also translates % properties % % output = TDMS_dataToGroupChanStruct_v3(inputStruct) % % OPTIONAL INPUTS (property/value pairs) % ============================================ % REPLACE_STR = default '_', what to replace invalid characters with % PREPEND_STR = default 'v' (for variable), gets prepended if first % character is invalid (must be alpha, not numeric or _) % ALWAYS_PREPEND = default false, if true always prepends the prepend string, % regardless of whether or not it is needed % % % % See Also: TDMS_genvarname2 REPLACE_STR = '_'; PREPEND_STR = 'v'; ALWAYS_PREPEND = false; propNames = inputStruct.propNames; propValues = inputStruct.propValues; groupIndices = inputStruct.groupIndices; groupNames = inputStruct.groupNames; chanIndices = inputStruct.chanIndices; chanNames = inputStruct.chanNames; rootIndex = inputStruct.rootIndex; data = inputStruct.data; rootPropStruct = propsToStruct(propNames{rootIndex},propValues{rootIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); output = struct('props',rootPropStruct); for iGroup = 1:length(groupIndices) curGroupIndex = groupIndices(iGroup); curChanIndices = chanIndices{iGroup}; curChanNames = chanNames{iGroup}; groupPropStruct = propsToStruct(propNames{curGroupIndex},propValues{curGroupIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); groupStruct = struct('name',groupNames(iGroup),'props',groupPropStruct); for iChan = 1:length(curChanIndices) curChanIndex = curChanIndices(iChan); chanPropStruct = propsToStruct(propNames{curChanIndex},propValues{curChanIndex},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND); chanStruct = struct('name',curChanNames{iChan},'props',chanPropStruct,... 'data',[]); chanStruct.data = data{curChanIndex}; %NOTE: I had a case statement in case the data type was a string, %which would change the interpretation of the struct input groupStruct.(TDMS_genvarname2(chanStruct.name,... REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = chanStruct; end output.(TDMS_genvarname2(groupStruct.name,... REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = groupStruct; end end function propStruct = propsToStruct(names,values,REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND) propStruct = struct([]); for iProp = 1:length(names) propStruct(1).(TDMS_genvarname2(names{iProp},REPLACE_STR,PREPEND_STR,ALWAYS_PREPEND)) = values{iProp}; end end
github
HelmchenLabSoftware/OCIA-master
TDMS_preprocessFile.m
.m
OCIA-master/other/functions_widefield/behavior_functions/import_lick_data/tdmsSubfunctions/TDMS_preprocessFile.m
24,202
utf_8
9027de756f8016d279addde445319f56
function metaStruct = TDMS_preprocessFile(fid,tdmsFileName,params) %TDMS_preprocessFile Populates props and gets segment information % % NOTE: This file shouldn't be called directly by the user % % metaStruct = TDMS_preprocessFile(fid,tdmsFileName,params) % % INPUTS % ======================================================================= % fid : file id of opened tdms file, may be null if INDEX_DEBUG is true % tdmsFileName : full path to tdms file OR tdms index file for INDEX_DEBUG % params : all optional inputs from TDMS_readTDMSFile % % OUTPUTS % ======================================================================= % metaStruct : % structure with fields: % % The following 3 variables are all the same length, and have one index % for each unique object. Each object may be one of the following types, % file root, group object, or channel object. Only channel objects may % have data. % % rawDataInfo : (structure array) % NOTE: This holds the most recent info for an object, and can be % changed on a per segment basis, segInfo is used to hold % information that is needed per segement % % .lengthOfIndex - length of raw data index (not used) % .dataType - enumerated dataType (Labview) % .dimensionData - currently ignored (should be 1d) % .numberOfValues - # of values to read each time % .totalSizeBytes - # of bytes per values % .numberProperties - # of properties defined for the object % .infoSet - a logical on whether or not this data has % been set (for error checking) % .propNames - a cell array for definining property names % .propValues - cell array for holding property values % % numberDataPoints : an array which specifies the # of data points for % each object (used for preallocation) % objectNameList : (cell array of strings) names of all objects in the % TDMS file % % Info for each segment ... % % segInfo : (struct array) % .rawPos - position of raw data for that segment % .kTocNewObjList - flag on whether a new channel list was % created or not % .objOrder - array specifying indices of the objects to assign % data to, order specifies read order, and values % are indexed % into the objectNameList & rawDataInfo struct % .nRawObjects - length of objOrder % .nSamplesRead - array, # of samples to read for each object % .isInterleaved - logical, whether that segment uses interleaved % data or not % .isBigEndian - logical % .nChunks - # of times to read data using the parameters % above before moving onto the next segment % % See also: TDMS_processLeadIn, TDMS_getDataSize, TDMS_getPropValue %PARAMETERS - passed in from TDMS_readTDMSFile %========================================================================== UTC_DIFF = params.UTC_DIFF; MAX_NUM_OBJECTS = params.MAX_NUM_OBJECTS; MAX_NUM_PROPS = params.MAX_NUM_PROPS; N_SEGS_GUESS = params.N_SEGS_GUESS; N_SEGS_INC = params.N_SEGS_INC; DEBUG = params.DEBUG; DATE_STR_FORMAT = params.DATE_STR_FORMAT; UNICODE_FORMAT = params.STRING_ENCODING; USE_INDEX = params.USE_INDEX; INIT_CHUNK_SIZE = params.INIT_CHUNK_SIZE; TDMS_INDEX_EXT = params.TDMS_INDEX_EXT; MACHINE_FORMAT = params.MACHINE_FORMAT; STRING_ENCODING = params.STRING_ENCODING; CURRENT_VERSION = params.CURRENT_VERSION; INDEX_DEBUG = params.INDEX_DEBUG; %DONT CHANGE THESE %========================================================================== LEAD_IN_LENGTH = 28; %# of bytes of lead in %FIGURING OUT WHICH FILE TO READ %========================================================================== [tdmsPathToFile,tdmsNameOnly] = fileparts(tdmsFileName); if isempty(params.META_STRUCT) isIndexFID = false; if USE_INDEX || INDEX_DEBUG if INDEX_DEBUG indexFile = tdmsFileName; else indexFile = fullfile(tdmsPathToFile,[tdmsNameOnly TDMS_INDEX_EXT]); end if exist(indexFile,'file') fid = fopen(indexFile,'r',MACHINE_FORMAT,STRING_ENCODING); isIndexFID = true; else %Just use the tdms file, which we have already tested to exist if INDEX_DEBUG %NOTE: With INDEX_DEBUG we explicitly passed in the index %file to read and parse (generally for debugging purposes %so if it doesn't exist, then we have a problem error('Specified tdms_index file doesn not exist') end end end else %Quits early if meta struct input is valid %====================================================================== metaStruct = params.META_STRUCT; if ~isstruct(metaStruct) || ~isfield(metaStruct,'version') || ~isfield(metaStruct,'fileName') error('The META_STRUCT parameter passed should be a structure with fields "version" and "fileName"') end if metaStruct.version ~= CURRENT_VERSION error('Mismatch in version creation, version of struct %d, please run with latest version: %d') end if ~strcmpi(metaStruct.fileName,tdmsNameOnly) fprintf('Filename from metaStruct: %s\n',metaStruct.fileName); fprintf('Filename from input: %s\n',tdmsNameOnly); error('Mismatch in filenames, see printout above') end return end if isIndexFID lastLetter = double('h'); %used for .tdms_index files else lastLetter = double('m'); %used for .tdms files end %INITIALIZE OUTPUTS %========================================================================== curNumTotalObjects = 0; %Current # of objects numberDataPoints = zeros(1,MAX_NUM_OBJECTS); objectNameList = cell(1,MAX_NUM_OBJECTS); %names of all objects rawDataInfo = initRawInfoStruct(MAX_NUM_PROPS,MAX_NUM_OBJECTS); segInfo = initSegStruct(N_SEGS_GUESS); %========================================================================== %TEMP VARIABLES %========================================================================== objectHasRawData = false(1,MAX_NUM_OBJECTS); %This is needed for adding %# of data points together ranOnce = false; nSegs = 0; %Get eof & return to start fseek(fid,0,1); eofPosition = ftell(fid); fseek(fid,0,-1); %START OF READING %========================================================================== curPosCounter = 0; %Used to keep track of where in the actual tdms file we %would be at various points, this is used for parsing verification as well %as assisting with more complicated reads while ftell(fid) ~= eofPosition nSegs = nSegs + 1; if nSegs > length(segInfo) segInfo = [segInfo initSegStruct(N_SEGS_INC)]; %#ok<AGROW> end if DEBUG disp('------ START OF DEBUG -------') fprintf(2,'CURRENT SEGMENT: %d\n',nSegs); fprintf(2,'Current file position: %d\n',curPosCounter); end %LEAD IN HANDLING %====================================================================== [flags,info] = TDMS_processLeadIn(fid,lastLetter); curPosCounter = curPosCounter + LEAD_IN_LENGTH + info.segLength; segInfo(nSegs).rawPos = curPosCounter - info.segLength + info.metaLength; if ~ranOnce %NOTE: This might be false if no channels are defined ... if flags.kTocNewObjList == false error('the kTocNewObjList was false when first run, this is not expected') end ranOnce = true; end %====================================================================== %====================================================================== % META INFORMATION PROCESSING %====================================================================== if flags.hasMetaData %Get # of changed objects numNewObjInSeg = fread(fid,1,'uint32'); %Reinitialize order list if new if flags.kTocNewObjList curObjListCount = 0; objOrder = zeros(1,2*numNewObjInSeg); nValuesRead = zeros(1,2*numNewObjInSeg); %NOTE: I padded this by doubling the #, we might append extra %channels in subsequent reads, I currently don't resize this %... end for iNewObject = 1:numNewObjInSeg %1) GET OBJECT PATH %------------------------------- objPathLength = fread(fid,1,'uint32'); temp = fread(fid,objPathLength,'*uint8'); objName = native2unicode(temp,UNICODE_FORMAT)'; %#ok<*N2UNI> %POPULATE ALL OBJECT LIST %---------------------------------------- objIndex = find(strcmp(objectNameList(1:curNumTotalObjects),objName),1); if isempty(objIndex) curNumTotalObjects = curNumTotalObjects + 1; if curNumTotalObjects > length(rawDataInfo) rawDataInfo = [rawDataInfo ... initRawInfoStruct(MAX_NUM_PROPS,MAX_NUM_OBJECTS)]; %#ok<AGROW> numberDataPoints = [numberDataPoints zeros(1,MAX_NUM_OBJECTS)]; %#ok<AGROW> objectNameList = [objectNameList cell(1,MAX_NUM_OBJECTS)]; %#ok<AGROW> objectHasRawData = [objectHasRawData false(1,MAX_NUM_OBJECTS)]; %#ok<AGROW> end objIndex = curNumTotalObjects; objectNameList{curNumTotalObjects} = objName; end %RAW DATA INDEX PROCESSING %--------------------------------------------- curPos = ftell(fid); rawDataIndexLength = fread(fid,1,'uint32'); rawDataInfo(objIndex).lengthOfIndex = rawDataIndexLength; if DEBUG fprintf(2,'RawDataLength: %d\n',rawDataIndexLength); fprintf(2,'CurrentPos: %d\n',curPos); end switch rawDataIndexLength case 0 %Same as previous if rawDataInfo(objIndex).infoSet == false error('Channel %s set to use previous rawDataIndex but this channel is new',objName) end case 2^32-1 %no raw data rawDataInfo(objIndex).infoSet = true; objectHasRawData(objIndex) = false; otherwise objectHasRawData(objIndex) = true; rawDataInfo(objIndex).infoSet = true; %DATA TYPE HANDLING %------------------------------------------------------ dataType = fread(fid,1,'uint32'); if rawDataInfo(objIndex).infoSet && dataType ~= rawDataInfo(objIndex).dataType && numberDataPoints(objIndex) > 0 error('Raw data type for channel %s has changed from %d to %d',... objName,rawDataInfo(objIndex).dataType,dataType) else rawDataInfo(objIndex).dataType = dataType; end %DATA SIZE HANDLING %----------------------------------------------------- rawDataInfo(objIndex).dimensionData = fread(fid,1,'uint32'); if rawDataInfo(objIndex).dimensionData ~= 1 error('Code doesn''t yet handle non 1D data') end rawDataInfo(objIndex).numberOfValues = fread(fid,1,'uint64'); %RawDaqMX %------------------------------------------------------ %NOTES: if dataType == 2^32-1 %JIM CODE IN PROGRESS rawDataInfo(objIndex).isRawDAQmx = true; %We can % % % %post process this to convert from bits to an % % % %actual value % % % % % % %FORMAT: % % % %1) - % % % daqMXVersion = rawDataIndexLength; % % % if ~ismember(daqMXVersion,[4713 4714]) % % % error('Unexpected version: %d',daqMXVersion) % % % end % % % % % % % % % %2) Let's get the remaining # of bytes % % % %This seems to be 32 ... % % % % % % % % wtf = fread(fid,8,'uint32'); % % % % % disp(wtf) % % % %4713 % % % %13000012 % % % %15000018 % % % %? -> 8th indicates data type? OR -> bytes per sample % % % % % % %4714 % % % %1 0 0 0 256 256 512 % % % % % % %3) Update datetype - where the heck is it? % % % %rawDataInfo(objIndex).dataType = dataType; else %Non RawDAQmx type if rawDataInfo(objIndex).dataType == 32 %If string, size is specified by an additional field rawDataInfo(objIndex).totalSizeBytes = fread(fid,1,'uint64'); else rawDataInfo(objIndex).totalSizeBytes = ... rawDataInfo(objIndex).numberOfValues*TDMS_getDataSize(dataType); end %Another chance to check correct reading if curPos + rawDataIndexLength ~= ftell(fid) error(['Raw Data Index length was incorrect: %d stated vs %d observed,' ... 'likely indicates bad code or a bad tdms file'],rawDataIndexLength,ftell(fid) - curPos) end end if DEBUG fprintf(2,'nSegs: %d\n',nSegs); fprintf(2,'objName: %s\n',objName); end end %-------------------------------------------------------------- %POPULATE ORDER TO RETRIEVE RAW DATA %-------------------------------------------------------------- if objectHasRawData(objIndex) appendToList = false; if flags.kTocNewObjList appendToList = true; else %Only append if not currently specified I_objOrder = find(objOrder(1:curObjListCount) == objIndex,1); if isempty(I_objOrder) appendToList = true; else nValuesRead(I_objOrder) = rawDataInfo(objIndex).numberOfValues; end end %NOTE: No overflow code in place yet, however we do %initialize with twice the # of objects specified to be %in a segement when a new list is created, new segments %might add more objects to the list if appendToList curObjListCount = curObjListCount + 1; objOrder(curObjListCount) = objIndex; nValuesRead(curObjListCount) = rawDataInfo(objIndex).numberOfValues; end end %PROPERTY HANDLING %-------------------------------------------------------------- numberProperties = fread(fid,1,'uint32'); %Below is the # of props already assigned to that channel nPropsChan = rawDataInfo(objIndex).numberProperties; curProps = rawDataInfo(objIndex).propNames; for iProp = 1:numberProperties propNameLength = fread(fid,1,'uint32'); temp = fread(fid,propNameLength,'*uint8'); propName = native2unicode(temp,UNICODE_FORMAT)'; propDataType = fread(fid,1,'uint32'); propIndex = find(strcmp(curProps(1:nPropsChan),propName),1); if isempty(propIndex) %Updates needed for new properties nPropsChan = nPropsChan + 1; propIndex = nPropsChan; curProps{propIndex} = propName; rawDataInfo(objIndex).propNames{propIndex} = propName; end %Update value propValue = TDMS_getPropValue(fid,propDataType,UTC_DIFF,DATE_STR_FORMAT); rawDataInfo(objIndex).propValues{propIndex} = propValue; end rawDataInfo(objIndex).numberProperties = nPropsChan; if DEBUG fprintf(2,'end of index position: %d\n',ftell(fid)); end end end %====================================================================== % END OF META DATA PROCESSING %RAW DATA SAMPLE COUNTING %====================================================================== segInfo(nSegs).kTocNewObjList = flags.kTocNewObjList; byteSizeRaw = info.segLength - info.metaLength; if ~flags.hasRawData || byteSizeRaw == 0 segInfo(nSegs).nChunks = 0; else segInfo(nSegs).objOrder = objOrder(1:curObjListCount); segInfo(nSegs).nRawObjects = curObjListCount; segInfo(nSegs).nSamplesRead = nValuesRead(1:curObjListCount); segInfo(nSegs).isInterleaved = flags.isInterleaved; segInfo(nSegs).isBigEndian = flags.isBigEndian; %# OF CHUNK PROCESSING %------------------------------------------------------------------ totalBytesPerChunk = sum([rawDataInfo(objOrder(1:curObjListCount)).totalSizeBytes]); nChunks = byteSizeRaw/totalBytesPerChunk; %Some error checking %------------------------------------------ if DEBUG fprintf(2,'nChunks: %d\n',nChunks); fprintf(2,'nSamplesRead: %s\n',mat2str(nValuesRead(1:curObjListCount))); fprintf(2,'totalBytesPerChunk: %d\n',totalBytesPerChunk); fprintf(2,'byteSizeRaw: %d\n',byteSizeRaw); end if nChunks ~= floor(nChunks) error(['The remaining data doesn''t split evently into' ... ' chunks, estimated # of chunks: %d'],nChunks) end chunkByteOffset = 0; %Increment the number of data points for iObject = 1:curObjListCount curIndex = objOrder(iObject); %This allows us to grow these values if we haven't sufficiently preallocated if rawDataInfo(curIndex).chunkIndex + nChunks > rawDataInfo(curIndex).chunkLength rawDataInfo(curIndex).dataMatrix = [rawDataInfo(curIndex).dataMatrix; zeros(INIT_CHUNK_SIZE,3)]; rawDataInfo(curIndex).chunkLength = rawDataInfo(curIndex).chunkLength + INIT_CHUNK_SIZE; end %DataMatrix: %============================================================== %This information is used for reading parts of an object during %a single read instead of the entire object %Column 1, file position indices = (rawDataInfo(curIndex).chunkIndex+1):(rawDataInfo(curIndex).chunkIndex+nChunks); rawDataInfo(curIndex).dataMatrix(indices,1) = ... segInfo(nSegs).rawPos + chunkByteOffset + (0:totalBytesPerChunk:(nChunks-1)*totalBytesPerChunk); %Column 2, first sample at that position rawDataInfo(curIndex).dataMatrix(indices,2) = ... numberDataPoints(curIndex) + (0:rawDataInfo(curIndex).numberOfValues:(nChunks-1)*rawDataInfo(curIndex).numberOfValues) + 1; %Column 3, segment number rawDataInfo(curIndex).dataMatrix(indices,3) = nSegs; chunkByteOffset = chunkByteOffset + rawDataInfo(curIndex).totalSizeBytes; numberDataPoints(curIndex) = numberDataPoints(curIndex) + rawDataInfo(curIndex).numberOfValues*nChunks; rawDataInfo(curIndex).chunkIndex = rawDataInfo(curIndex).chunkIndex+nChunks; end %nChunksAll = nChunksAll + nChunks; segInfo(nSegs).nChunks = nChunks; %This needs to be handled in some manner for RawDaqMx if ~isIndexFID fseek(fid,byteSizeRaw,'cof'); end end %Addition for raw data (needs to be fixed) %In general, the tdms_index requires skipping some meta data %I think this is only needed for raw data (I need to flush this out %better as it will cause an error when reading index files for regular %tdms files) % if isIndexFID % fseek(fid,segInfo(nSegs).rawPos,'bof'); % end end %Trim output: %========================================================================== rawDataInfo = rawDataInfo(1:curNumTotalObjects); for iObject = 1:length(rawDataInfo) nProps = rawDataInfo(iObject).numberProperties; rawDataInfo(iObject).propNames = rawDataInfo(iObject).propNames(1:nProps); rawDataInfo(iObject).propValues = rawDataInfo(iObject).propValues(1:nProps); %Add extra value for later processing if rawDataInfo(iObject).chunkIndex ~= 0 rawDataInfo(iObject).chunkIndex = rawDataInfo(iObject).chunkIndex + 1; rawDataInfo(iObject).dataMatrix(rawDataInfo(iObject).chunkIndex,2) = numberDataPoints(iObject) + 1; end end numberDataPoints = numberDataPoints(1:curNumTotalObjects); objectNameList = objectNameList(1:curNumTotalObjects); segInfo = segInfo(1:nSegs); metaStruct = struct(... 'numberDataPoints', numberDataPoints,... 'objectNameList', {objectNameList},... 'segInfo', segInfo,... 'rawDataInfo', rawDataInfo,... 'fileName', tdmsNameOnly,... 'version', CURRENT_VERSION); if isIndexFID %If using the index file to parse meta, close it fclose(fid); end end function segStruct = initSegStruct(nSegs) %initSegStruct % % segStruct = initSegStruct(nSegs) % segStruct = struct(... 'rawPos',repmat({0},[1 nSegs]),... 'kTocNewObjList',0,... 'objOrder',[],... 'nRawObjects',0,... 'nSamplesRead',[],... 'isInterleaved',false,... 'isBigEndian',false,... 'nChunks',false); end function rawInfoStruct = initRawInfoStruct(MAX_NUM_PROPS,MAX_NUM_OBJECTS) rawInfoStruct = struct( ... 'isRawDAQmx', false, ... 'lengthOfIndex', 0,... 'dataType', 0,... 'dimensionData', 0,... 'numberOfValues', 0,... 'totalSizeBytes', 0,... %Only valid for strings 'numberProperties', 0,... 'chunkIndex', 0,... ... %Could initialize to zero, this would save space ... %with non-raw data objects 'chunkLength', 0,... ... %SEE ALSO: chunk loop above for resizing 'dataMatrix', zeros(0,3),... ...%Position # ...%1st Sample # ...%Seg # 'infoSet', false, ... 'propNames', repmat({cell(1,MAX_NUM_PROPS)},1,MAX_NUM_OBJECTS),... 'propValues', repmat({cell(1,MAX_NUM_PROPS)},1,MAX_NUM_OBJECTS)); end
github
HelmchenLabSoftware/OCIA-master
hanning.m
.m
OCIA-master/other/functions_slovin/spectogram_functions/hanning.m
292
utf_8
56fe015f155b73f7eb537f7a3093ead2
function w = hanning(n) if ~rem(n,2) w = .5*(1 - cos(2*pi*(1:n/2)'/(n+1))); w = [w; w(end:-1:1)]; else w = .5*(1 - cos(2*pi*(1:(n+1)/2)'/(n+1))); w = [w; w(end-1:-1:1)]; end function myprintf(verbose, varargin) if strcmpi(verbose, 'on') fprintf(varargin{:}); end;
github
HelmchenLabSoftware/OCIA-master
mtrainer_GUI_export.m
.m
OCIA-master/behavior/mtrainer_GUI_export.m
57,797
utf_8
bb7ef417782c2fbef69065eee4adb42f
function varargout = mtrainer_GUI_export(varargin) % TODO: % - stopping the experiment: trial no 100 ? plot ? set buttons to stop ? % - reward anyway system % - forbid disconnecting HW or changing mouseID while experiment is running % - lickThresh calibrator with setter % - online lick ploting % - online performance % - logging into GUI window % - config setter % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @mtrainer_GUI_export_OpeningFcn, ... 'gui_OutputFcn', @mtrainer_GUI_export_OutputFcn, ... 'gui_LayoutFcn', @mtrainer_GUI_export_LayoutFcn, ... 'gui_Callback', []); if nargin && ischar(varargin{1}); gui_State.gui_Callback = str2func(varargin{1}); end if nargout; [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT % --- Executes just before mtrainer_GUI_export is made visible. function mtrainer_GUI_export_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to mtrainer_GUI_export (see VARARGIN) % Choose default command line output for mtrainer_GUI_export handles.output = hObject; % Update handles structure guidata(hObject, handles); initialize_gui(hObject, handles, false); set(hObject, 'DeleteFcn', @onWindowClose); set(hObject, 'Position', [100 100 800 620]); % --- Outputs from this function are returned to the command line. function varargout = mtrainer_GUI_export_OutputFcn(hObject, eventdata, handles) %#ok<*INUSL> % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout{1} = handles.output; % -------------------------------------------------------------------- function initialize_gui(fig_handle, handles, isreset) %#ok<*INUSD> % If the metricdata field is present and the start flag is false, it means % we are we are just re-initializing a GUI by calling it from the cmd line % while it is up. So, bail out as we dont want to start the data. initMain(handles); updateGUI(); % --- Executes on button press in connectHW. function connectHW_Callback(hObject, eventdata, handles) % hObject handle to connectHWButton_Callback (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if isfield(main.hw, 'connected') && main.hw.connected; disconnectHW(); else connectHW(); end updateGUI(); % --- Executes on button press in start. function start_Callback(hObject, eventdata, handles) % hObject handle to start (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; warning('mtrainerGUI:CannotStartAlreadyRunning', ... 'Cannot start because experiment is already running and not paused.'); updateGUI(); return; else startExperiment(); end updateGUI(); try mainLoop(); catch e; closeDiaryAndSaveOutput(); throw(e); end; % --- Executes on button press in pause. function pause_Callback(hObject, eventdata, handles) % hObject handle to pause (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; if main.isPaused; main.isPaused = false; else main.isPaused = true; end else warning('mtrainerGUI:CannotPauseNotRunning', ... 'Cannot pause because experiment is not running.'); end updateGUI(); % --- Executes on button press in stop. function stop_Callback(hObject, eventdata, handles) %#ok<*DEFNU> % hObject handle to stop (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; main.isRunning = false; closeDiaryAndSaveOutput(); else warning('mtrainerGUI:CannotStopNotRunning', 'Cannot stop because experiment is not running.'); end updateGUI(); % --- Executes on button press in reward. function reward_Callback(hObject, eventdata, handles) % hObject handle to reward (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; giveReward(main.rewardDur, 0); % --- Executes on slider movement. function rewardDurSetter_Callback(hObject, eventdata, handles) % hObject handle to rewardDurSetter (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider global main; main.rewardDur = get(hObject,'Value'); set(handles.rewardDur, 'String', sprintf('%04.2f', main.rewardDur)); % --- Executes on slider movement. function lickThreshSetter_Callback(hObject, eventdata, handles) % hObject handle to lickThreshSetter (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider global main; main.lickThresh = get(hObject,'Value'); set(handles.lickThresh, 'String', sprintf('%04.2f', main.lickThresh)); % --- Executes when selected cell(s) is changed in config. function config_CellSelectionCallback(hObject, eventdata, handles) % hObject handle to config (see GCBO) % eventdata structure with the following fields (see UITABLE) % Indices: row and column indices of the cell(s) currently selecteds % handles structure with handles and user data (see GUIDATA) global main; o('#config_CellSelectionCallback: selection changed: row %d, col %d.', eventdata.Indices, 3, main.dbgLvl); row = eventdata.Indices(1); configCell = get(main.handles.config, 'Data'); main.mouseId = configCell{row, 1}; main.taskType = configCell{row, 2}; main.phase = configCell{row, 3}; main.configLoaded = false; o('#config_CellSelectionCallback: mouseId: %s, taskType: %s, phase: %s.', ... main.mouseId, main.taskType, main.phase, 3, main.dbgLvl); updateGUI(); % --- Executes on button press in loadConfig. function loadConfig_Callback(hObject, eventdata, handles) % hObject handle to loadConfig (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) loadConfig(); %% #initMain function initMain(handles) global main; main = struct(); main.dbgLvl = 3; main.debugMode = 0; main.basePath = 'P:/programming/Work/PhD/matlab/behavior/mtrainer/'; % main.basePath = 'D:/Users/BaL/programming/Work/PhD/matlab/behavior/mtrainer/'; configsPath = sprintf('%sconfigs.mat', main.basePath); if ~exist(configsPath, 'file'); error('mtrainerGUI:initMain:ConfigsFileNotFound', ... 'Cannot find the configs at "%s" (file not found).', configsPath); end; configsMat = load(configsPath); main.configs = configsMat.configs; [~, computerName] = system('hostname'); roomMatch = regexp(computerName, '^HIFOWS(?<room>H\d+)\-\d+\s+$', 'names'); if main.debugMode; warning('mtrainer_GUI:initMain:DebugMode', 'Debug mode is ON.'); roomMatch = struct('room', 'H30'); o('#initMain: debug mode => room tag enforced to: "%s".', roomMatch.room, 1, main.dbgLvl); end; if isempty(roomMatch); error('mtrainerGUI:initMain:HardwareLoad:NoRoomTagFound', ... 'Cannot load hardware because there''s no room tag in the computer''s name.'); elseif ~isfield(main.configs.hardware, roomMatch.room); error('mtrainerGUI:initMain:HardwareLoad:UnknownRoom', ... 'Cannot load hardware because room "%s" is unknown.', roomMatch.room); end; main.hw = main.configs.hardware.(roomMatch.room); main.hw.connected = false; main.updateRate = 0.1; % 100ms update rate main.isRunning = false; main.isPaused = false; main.isClosed = false; main.configLoaded = false; main.iTrial = 0; main.rewardDur = str2double(get(handles.rewardDur,'String')); main.handles = handles; stateData = get(main.handles.state, 'Data'); stateData(:, 1) = getTrialInfo(0); stateData(:, 2) = getTrialInfo(0); stateData(:, 3) = getTrialInfo(0); set(main.handles.state, 'Data', stateData); set(main.handles.config, 'Data', main.configs.animals); main.mouseId = ''; o('Mouse trainer v1.0 initiated.', 1, main.dbgLvl); function onWindowClose(src, eventData) global main; main.isClosed = true; %% #connectHW function connectHW() global main; o('Connecting hardware ...', 1, main.dbgLvl); set(main.handles.connectHW, 'BackgroundColor', 'yellow'); if ~main.debugMode; main.hw.lickSensor = daq.createSession(main.hw.adaptorID); main.hw.lickSensor.Rate = main.hw.analogIn_SampleRate; main.hw.lickSensor.addAnalogInputChannel(main.hw.analogIn_Device, main.hw.analogIn_Channel, 'Voltage'); main.hw.lickSensor.Channels(1).InputType = main.hw.analogIn_InputType; main.hw.lickSensor.Channels(1).Range = main.hw.analogIn_Range; main.hw.lickSensor.IsNotifyWhenDataAvailableExceedsAuto = true; main.hw.lickSensorListener = main.hw.lickSensor.addlistener('DataAvailable', ... @(src, event) recordAndStop(src, event)); main.hw.lickSensor.IsContinuous = true; main.hw.lickSensor.prepare(); else o(' "Connecting" fake analog input.', 1, main.dbgLvl); main.hw.lickSensor = struct(); main.hw.lickSensorListener = struct(); main.hw.lickSensor.stop = 1; main.hw.lickSensor.startBackground = 1; % main.hw.lickSensor.IsRunning = @()(round(rand + 0.4)); % main.hw.lickSensor.IsRunning = @()(round(rand - 0.4)); main.hw.lickSensor.IsRunning = 1; pause(1); end; o(' Analog input (lick sensor and listener): OK.', 1, main.dbgLvl); if ~main.debugMode; main.hw.valveControl = daq.createSession(main.hw.adaptorID); main.hw.valveControl.addDigitalChannel(main.hw.digitalOut_Device, main.hw.digitalOut_PortLine, 'OutputOnly'); main.hw.valveControl.outputSingleScan(0); % make sure valve is closed else o(' "Connecting" fake digital output.', 1, main.dbgLvl); main.hw.valveControl = struct(); pause(1); end; o(' Digital output (valve control): OK.', 1, main.dbgLvl); main.hw.connected = true; o('Hardware connected.', 1, main.dbgLvl); %% #disconnectHW function disconnectHW() global main; o('Disconnecting hardware ...', 1, main.dbgLvl); % analog input if ~main.debugMode; if isfield(main.hw, 'lickSensorListener'); main.hw = rmfield(main.hw, 'lickSensorListener'); end; if isfield(main.hw, 'lickSensor'); main.hw.lickSensor.stop(); main.hw = rmfield(main.hw, 'lickSensor'); end; if isfield(main.hw, 'valveControl'); % main.hw.valveControl.stop(); main.hw = rmfield(main.hw, 'valveControl'); end; daqreset; end; main.hw.connected = false; o('Hardware disconnected.', 1, main.dbgLvl); %% #giveReward function giveReward(rewDur, rewDelay) global main; if main.hw.connected && isfield(main.hw, 'valveControl'); if ~main.debugMode; t_rewardStart = tic; % wait until for start delay while toc(t_rewardStart) < rewDelay; end; t_rewardStart = tic; % open digital out % main.hw.valveControl.outputSingleScan(0); main.hw.valveControl.outputSingleScan(1); % wait until for open duration while toc(t_rewardStart) < rewDur; end; % close digital out % main.hw.valveControl.outputSingleScan(1); main.hw.valveControl.outputSingleScan(0); end; o('Rewarding for %.2f sec with a delay of %.2f.', rewDur, rewDelay, 3, main.dbgLvl); else warning('mtrainerGUI:NoRewardHardwareDisconnected', 'Cannot give reward because hardware is disconnected.'); end %% #updateGUI function updateGUI() global main; if main.isClosed; return; end; stateData = get(main.handles.state, 'Data'); handles = main.handles; if main.hw.connected; set(handles.connectHW, 'BackgroundColor', 'green'); set(handles.connectHW, 'Value', 1); else set(handles.connectHW, 'BackgroundColor', 'red'); set(handles.connectHW, 'Value', 0); end; if main.isRunning; set(handles.start, 'Value', 1); set(handles.start, 'BackgroundColor', 'green'); if main.isPaused; set(handles.pause, 'Value', 1); set(handles.pause, 'BackgroundColor', [1 1 0]); else set(handles.pause, 'Value', 0); set(handles.pause, 'BackgroundColor', 'green'); end; if isfield(main, 'lickData'); axes(handles.lickSensorAxes); data = abs(main.lickData); nSamples = numel(data); t = (1 : nSamples) / main.hw.analogIn_SampleRate; plot(t, data); line([0, t(end)], [main.lickThresh, main.lickThresh], 'Color', 'r'); ylim([0, 1]); end; % stateData(:, 1) = stateData(:, 2); stateData(:, 1) = getTrialInfo(main.iTrial - 1); stateData(:, 2) = getTrialInfo(main.iTrial); if main.iTrial < main.config.training.nTrials; stateData(:, 3) = getTrialInfo(main.iTrial + 1); else stateData(:, 3) = getTrialInfo(0); end; else axes(handles.lickSensorAxes); plot(0, 0); set(handles.start, 'Value', 0); set(handles.start, 'BackgroundColor', 'red'); set(handles.pause, 'Value', 0); set(handles.pause, 'BackgroundColor', 'red'); if main.configLoaded && main.iTrial == 0; stateData(:, 3) = getTrialInfo(1); else stateData(:, 3) = getTrialInfo(0); end; end; set(main.handles.state, 'Data', stateData); set(main.handles.configLoaded, 'Value', logical(main.configLoaded)); %% #getTrialInfo function trialInfo = getTrialInfo(iTrial) global main; if iTrial; freq = sprintf('%4.2f', main.config.tone.freqs(main.stims(iTrial)) / 1000); if isfield(main.config.tone, 'oddProba') && main.config.tone.oddProba > 0; % oddball discrimination isTarget = double(main.stims(iTrial) ~= main.odds(iTrial) && main.config.tone.goStim); else % frequency discrimination isTarget = double(main.stims(iTrial) == main.config.tone.goStim); end; if isfield(main, 'resps') && ~isnan(main.resps(iTrial)); resp = main.resps(iTrial); respTime = main.respTimes(iTrial); if isnan(respTime); respTime = '-'; end; corr = double((isTarget && resp) || (~isTarget && ~resp)); ITL = main.nInTriLick(iTrial); else resp = '-'; respTime = '-'; corr = '-'; ITL = '-'; end; trialInfo = {iTrial, freq, isTarget, resp, respTime, corr, ITL}; else trialInfo = {'-', '-', '-', '-', '-', '-', '-'}; end; %% #loadConfig function loadConfig() global main; o('Loading configuration ...', 2, main.dbgLvl); if isempty(main.mouseId); warning('loadConfig:NoMouseIdSelected', 'Cannot load config because no mouseId is selected.'); return; end; % main.doEmptyWater = 0; % main.doEmptyWater = 1; % if > 0, sets the number of seconds to wait before a new run of mtrainer % main.automode = 5; main.iTrial = 0; main.lickThresh = 0.14; % main.lickThresh = NaN; main.config = main.configs.behavior.(main.taskType).(main.phase); %% Setup - stimuli and trials o(' loadConfig#: setup stimuli and trials... ', 3, main.dbgLvl); % set up stimulus vector stims = []; for iFreq = 1 : numel(main.config.tone.freqs); stimForFreq = repmat(iFreq, 1, ... round(main.config.tone.stimProba(iFreq) * main.config.training.nTrials)); stims = [stims, stimForFreq]; %#ok<AGROW> end % stim vector should not be randomly permuted stims = stims(randperm(numel(stims))); stims = stims(1 : main.config.training.nTrials); clear stim; switch(main.taskType); case {'freqDiscr', 'oddDiscr'}; % set up oddball vector by altering stims with a certain probability odds = stims; oddPos = zeros(size(odds)); uniqueStims = unique(stims); isOdd = rand(1, numel(stims)) < main.config.tone.oddProba; uniqueOddPos = main.config.tone.nTones - 1 : main.config.tone.nTones; % last 2 tones can be odd for iStim = 1 : numel(isOdd); if isOdd(iStim); otherStims = uniqueStims(uniqueStims ~= stims(iStim)); otherStims = otherStims(randperm(numel(otherStims))); mixedOddPos = uniqueOddPos(randperm(numel(uniqueOddPos))); odds(iStim) = otherStims(1); oddPos(iStim) = mixedOddPos(1); end; end; % set up tone array main.toneArray = MakePureMultiToneOddballArray(main.config.tone.freqs, stims, odds, oddPos, ... main.config.tone.nTones, main.config.tone.stimDur, main.config.tone.ISI, ... main.config.tone.samplingFreq); case 'cotDiscr'; odds = zeros(size(stims)); oddPos = zeros(size(stims)); isOdd = zeros(size(stims)); atten = 0.5; main.toneArray = MakeCloudOfTonesSound(main.config.tone.uniqueFreqs, main.config.tone.freqIndexes, ... main.config.tone.cloudDispersion, stims, main.config.tone.toneDur, main.config.tone.toneISI, ... main.config.tone.stimDur, atten, main.config.tone.samplingFreq, 0, 0); end; main.stims = stims; main.odds = odds; main.oddPos = oddPos; main.isOdd = isOdd; main.configLoaded = true; updateGUI(); o(' loadConfig#: setup stimuli and trials done. ', 2, main.dbgLvl); o('Loading configuration done.', 2, main.dbgLvl); %% #startExperiment function startExperiment() global main; if ~main.configLoaded; warning('startExperiment:configNotLoaded', 'Cannot start experiment because config is not loaded.'); return; end; if isempty(main.mouseId); warning('startExperiment:NoMouseId', 'Cannot start experiment because there is no mouseId.'); return; end; if ~main.hw.connected; warning('startExperiment:HardwareDisconnected', ... 'Cannot start experiment because hardware is disconnected.'); return; end; o('startExperiment#: initializing experiment ... ', 2, main.dbgLvl); main.isPaused = false; main.isRunning = true; main.iTrial = 1; main.saveTime = datestr(now(), 'yyyy_mm_dd__HH_MM_SS'); % saveFolder = sprintf('D:/Balazs/2013/mtrainerTests/%s/', ... % saveFolder = sprintf('C:/Users/laurenczy.HIFO/Documents/LocalData/2013/mtrainerTests/%s/', ... saveFolder = sprintf('C:/Users/laurenczy/mtrainerTests/%s/', main.mouseId); % saveFolder = sprintf('D:/Users/BaL/PhD/mtrainerTests/%s/', main.mouseId); main.savePath = sprintf('%s%s__%s', saveFolder, main.mouseId, main.saveTime); mkdir(saveFolder); logfile = sprintf('%s_log.txt', main.savePath); main.logDateFormat = 'yyyy-mm-dd HH:MM:SS.FFF'; % % create an 'onCleanup' function to handle interruptions by CTRL+C % c = onCleanup(@()closeDiaryAndSaveOutput(main.savePath, main.hw.lickSensorListener, ... % main.hw.lickSensor, main.hw.valveControl)); o(' startExperiment#: logFile initialized. Starting diary...', 2, main.dbgLvl); diary(logfile); %% Start experiment o('Experiment start: %s\n\n', datestr(now(), main.logDateFormat), 1, main.dbgLvl); %% Setup - saving settings global recordedValues; recordedValues = 0; o('config: %s phase %s (%dF%dT)', main.taskType, main.phase, numel(main.config.tone.freqs), ... main.config.tone.nTones, 0, main.dbgLvl); o('animal: %s', main.mouseId, 0, main.dbgLvl); o('savePath: %s', main.savePath, 0, main.dbgLvl); o('lickThresh: %1.2f, ISI: %1.2f', main.lickThresh, main.config.tone.ISI, 1, main.dbgLvl); o('rewardCollectionTime: %1.2f, InTriLickTimerDur: %1.2f', main.config.training.rewCollTime, ... main.config.training.InTriLickTimerDur, 1, main.dbgLvl); nTrials = main.config.training.nTrials; main.trialStartDelays = zeros(1, nTrials); main.trialStartTimes = zeros(1, nTrials); main.trialEndTimes = zeros(1, nTrials); main.respTimes = nan(1, nTrials); main.nInTriLick = nan(1, nTrials); main.resps = nan(1, nTrials); main.respDelays = nan(1, nTrials); % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early main.respTypes = nan(1, nTrials); main.expStartTime = tic; main.isPunish = 0; %% #mainLoop function mainLoop() global main; displayedPause = 0; while main.isRunning; o('mainLoop#: iTrial = %d.', main.iTrial, 4, main.dbgLvl); if ~main.isPaused; if displayedPause; o(' --- RESUMED --- ', 1, main.dbgLvl); displayedPause = 0; end; o('mainLoop#: running trial %d.', main.iTrial, 3, main.dbgLvl); runTrial(); if main.isRunning; o('Trial %d: pause ended, updating trial number.', main.iTrial, 2, main.dbgLvl); if main.iTrial == main.config.training.nTrials; main.isRunning = false; %% End experiment o('\nExperiment end: %s', datestr(now(), main.logDateFormat), 1, main.dbgLvl); main.expTotDurTime = toc(main.expStartTime); o('Total time: %02.0f:%02.0f', ... main.expTotDurTime / 60, mod(main.expTotDurTime, 60), main.dbgLvl); mtrainerAnalyser_performance(main.respTypes, 2, main.savePath, main.nInTriLick); closeDiaryAndSaveOutput(); else main.iTrial = main.iTrial + 1; o('Trial %d: updated trial number: %d.', main.iTrial - 1, main.iTrial, 2, main.dbgLvl); end; else o('Trial %d: not running anymore, no update of trial number.', main.iTrial, 2, main.dbgLvl); end; o('mainLoop#: running trial %d done.', main.iTrial, 3, main.dbgLvl); updateGUI(); else if ~displayedPause; o(' --- PAUSED --- ', 1, main.dbgLvl); displayedPause = 1; end; o('mainLoop#: waiting for %f sec (trial %d).', main.updateRate, main.iTrial, 3, main.dbgLvl); pause(main.updateRate); end; end; %% #runTrial function runTrial() global main recordedValues; nTrials = main.config.training.nTrials; iTrial = main.iTrial; % listen for response main.hw.lickSensor.startBackground(); pause(0.01) interTrialLickCount = 0; main.trialStartTimes(iTrial) = tic; % introduce a random delay for starting the tone main.trialStartDelays(iTrial) = main.config.training.startDelay + ... (rand(1) - 0.5) * 2 * main.config.training.startDelayRand; % add punishement time-out if needed if main.isPunish; main.trialStartDelays(iTrial) = main.trialStartDelays(iTrial) + main.config.training.timeoutPunish; end; %% Experiment - initial wait while toc(uint64(main.trialStartTimes(iTrial))) < main.trialStartDelays(iTrial); % fprintf('CheckingA: main.hw.lickSensor.IsRunning()? %d\n', main.hw.lickSensor.IsRunning()); % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; % check if no lick has been done if ~main.hw.lickSensor.IsRunning(); % if not running anymore, it means a licking has been done remainingTime = main.trialStartDelays(iTrial) - toc(uint64(main.trialStartTimes(iTrial))); if interTrialLickCount > 0; fprintf('|%.1f', remainingTime); else fprintf(' inter-trial licking: |%.1f', remainingTime); end; % reset the starting delay to main.config.training.InTriLickTimerDur main.trialStartTimes(iTrial) = tic; if main.isPunish; main.trialStartDelays(iTrial) = max(main.config.training.InTriLickTimerDur, remainingTime); else main.trialStartDelays(iTrial) = main.config.training.InTriLickTimerDur; end; interTrialLickCount = interTrialLickCount + 1; pause(1); % restart the listening main.hw.lickSensor.startBackground(); pause(0.1); % fprintf('CheckingB: main.hw.lickSensor.IsRunning()? %d\n', main.hw.lickSensor.IsRunning()); end % avoid full-speed looping pause(0.01); end; if interTrialLickCount; fprintf('|: %d inter-trial lick(s).\n', interTrialLickCount); end main.nInTriLick(iTrial) = interTrialLickCount; resp = 0; main.isPunish = 0; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; t_trialStart = tic; fprintf('Trial %03d/%03d - %s ... ', iTrial, nTrials, datestr(now(), main.logDateFormat)); %% Experiment - play sound if main.hw.lickSensor.IsRunning(); soundToPlay = main.toneArray{iTrial}; player = audioplayer(soundToPlay, main.config.tone.samplingFreq); player.play; else fprintf('early (already licking, lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); main.isPunish = 1; main.respTypes(iTrial) = 5; % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(main.respTypes, 0); end; return; end breakOut = 0; %% Experiment - wait for response while toc(t_trialStart) < main.config.training.trialDur; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; if main.hw.lickSensor.IsRunning() % no response detected else % seconds since trial start respTime = toc(t_trialStart); main.respTimes(iTrial) = respTime; % response should be 'minRespTime' after the end of the tone! totStimDur = (main.config.tone.stimDur + main.config.tone.ISI) * main.config.tone.nTones - main.config.tone.ISI; limitRespTime = totStimDur + main.config.training.minRespTime; % limitRespTime = main.config.training.minRespTime; main.respDelays(iTrial) = limitRespTime - respTime; % early response, count as kind of false alarm if respTime < limitRespTime; % fprintf('early (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('early (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.isPunish = 1; main.respTypes(iTrial) = 5; breakOut = 1; break; else % fprintf('Lick at %s\n', datestr(clock, main.logDateFormat)) resp = 1; end; break; % break out of while loop end; pause(0.02); % necessary to allow time for data collection end; if breakOut; main.trialEndTimes(iTrial) = toc(uint64(main.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(main.respTypes, 0); end; return; % continue for loop end; if main.hw.lickSensor.IsRunning(); main.hw.lickSensor.stop(); end; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; %% Experiment - analyse response main.resps(iTrial) = resp; isOddTrial = main.stims(iTrial) ~= main.odds(iTrial); if isfield(main.config.tone, 'oddProba') && main.config.tone.oddProba > 0; % oddball discrimination isTargetStim = isOddTrial && main.config.tone.goStim; else % frequency discrimination isTargetStim = main.stims(iTrial) == main.config.tone.goStim; end; if resp == 1 && isTargetStim; % correct response % fprintf('correct detection (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('correct detection (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.respTypes(iTrial) = 1; % give reward giveReward(main.config.training.rewDur, main.config.training.rewDelay); % wait to collect the reward pause(main.config.training.rewCollTime); elseif resp == 1 && ~isTargetStim; % false alarm % fprintf('false alarm (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('false alarm (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.respTypes(iTrial) = 3; % punish time-out main.isPunish = 1; elseif resp == 0 && isTargetStim; fprintf('miss.\n'); main.respTypes(iTrial) = 4; % punish time-out main.isPunish = 1; elseif resp == 0 && ~isTargetStim; fprintf('correct rejection.\n'); main.respTypes(iTrial) = 2; % go to next trial end main.trialEndTimes(iTrial) = toc(uint64(main.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(main.respTypes, 0); end; %% #recordAndStop function recordAndStop(src, event) global main recordedValues; [recordedValues, main.lickData] = stopWhenExceedThreshold(src, event, main.lickThresh); updateGUI(); %% #closeDiaryAndSaveOutput function closeDiaryAndSaveOutput() global main; o('\nClosing diary... ', 2, main.dbgLvl); diary off; o('Closing diary done.', 1, main.dbgLvl); out = main; try out.hw = rmfield(out.hw, 'toneArray'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'lickSensorListener'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'lickSensor'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'valveControl'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'lickData'); catch e; end; %#ok<NASGU> if exist('out', 'var'); matFileName = sprintf('%s_out.mat', main.savePath); o('Saving output as %s... ', matFileName, 2, main.dbgLvl); save(matFileName, 'out'); o('Saving output done.', matFileName, 1, main.dbgLvl); else o('/!\\ Output not saved !', 1, main.dbgLvl); end; % disconnectHW(); % --- Creates and returns a handle to the GUI figure. function h1 = mtrainer_GUI_export_LayoutFcn(policy) % policy - create a new figure or use a singleton. 'new' or 'reuse'. persistent hsingleton; if strcmpi(policy, 'reuse') & ishandle(hsingleton) h1 = hsingleton; return; end load mtrainer_GUI_export.mat appdata = []; appdata.GUIDEOptions = struct(... 'active_h', [], ... 'taginfo', struct(... 'figure', 2, ... 'pushbutton', 15, ... 'text', 24, ... 'edit', 8, ... 'frame', 4, ... 'radiobutton', 22, ... 'uipanel', 15, ... 'slider', 5, ... 'popupmenu', 4, ... 'listbox', 3, ... 'togglebutton', 3, ... 'checkbox', 4, ... 'uitable', 4, ... 'axes', 2), ... 'override', 1, ... 'release', 13, ... 'resize', 'none', ... 'accessibility', 'callback', ... 'mfile', 1, ... 'callbacks', 1, ... 'singleton', 1, ... 'syscolorfig', 1, ... 'blocking', 0, ... 'lastSavedFile', 'P:\programming\Work\PhD\matlab\behavior\mtrainer_GUI_export.m', ... 'lastFilename', 'P:\programming\Work\PhD\matlab\behavior\mtrainer\mtrainer_GUI.fig'); appdata.lastValidTag = 'figure1'; appdata.GUIDELayoutEditor = []; appdata.initTags = struct(... 'handle', [], ... 'tag', 'figure1'); h1 = figure(... 'PaperUnits',get(0,'defaultfigurePaperUnits'),... 'Color',[0.941176470588235 0.941176470588235 0.941176470588235],... 'Colormap',[0 0 0.5625;0 0 0.625;0 0 0.6875;0 0 0.75;0 0 0.8125;0 0 0.875;0 0 0.9375;0 0 1;0 0.0625 1;0 0.125 1;0 0.1875 1;0 0.25 1;0 0.3125 1;0 0.375 1;0 0.4375 1;0 0.5 1;0 0.5625 1;0 0.625 1;0 0.6875 1;0 0.75 1;0 0.8125 1;0 0.875 1;0 0.9375 1;0 1 1;0.0625 1 1;0.125 1 0.9375;0.1875 1 0.875;0.25 1 0.8125;0.3125 1 0.75;0.375 1 0.6875;0.4375 1 0.625;0.5 1 0.5625;0.5625 1 0.5;0.625 1 0.4375;0.6875 1 0.375;0.75 1 0.3125;0.8125 1 0.25;0.875 1 0.1875;0.9375 1 0.125;1 1 0.0625;1 1 0;1 0.9375 0;1 0.875 0;1 0.8125 0;1 0.75 0;1 0.6875 0;1 0.625 0;1 0.5625 0;1 0.5 0;1 0.4375 0;1 0.375 0;1 0.3125 0;1 0.25 0;1 0.1875 0;1 0.125 0;1 0.0625 0;1 0 0;0.9375 0 0;0.875 0 0;0.8125 0 0;0.75 0 0;0.6875 0 0;0.625 0 0;0.5625 0 0],... 'DockControls','off',... 'IntegerHandle','off',... 'InvertHardcopy',get(0,'defaultfigureInvertHardcopy'),... 'MenuBar','none',... 'Name','mtrainer_GUI',... 'NumberTitle','off',... 'PaperPosition',get(0,'defaultfigurePaperPosition'),... 'PaperSize',get(0,'defaultfigurePaperSize'),... 'PaperType',get(0,'defaultfigurePaperType'),... 'Position',[544 0 801 625],... 'Resize','off',... 'HandleVisibility','callback',... 'UserData',[],... 'Tag','figure1',... 'Visible','on',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'hwPanel'; h2 = uipanel(... 'Parent',h1,... 'Units','characters',... 'Title','Hardware',... 'Tag','hwPanel',... 'Clipping','on',... 'Position',[1.8 28.6923076923077 24.2 18.5384615384615],... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'connectHW'; h3 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'BackgroundColor',[1 0 0],... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('connectHW_Callback',hObject,eventdata,guidata(hObject)),... 'Position',[1.8 15.3846153846154 20 1.76923076923077],... 'String','CONNECT HW',... 'Style','togglebutton',... 'Tag','connectHW',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'reward'; h4 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('reward_Callback',hObject,eventdata,guidata(hObject)),... 'CData',[],... 'ListboxTop',0,... 'Position',[1.8 13.0769230769231 20.2 1.76923076923077],... 'String','REWARD',... 'UserData',[],... 'Tag','reward',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'rewardDurLabel'; h5 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'HorizontalAlignment','left',... 'Position',[1.8 10 17.2 2.46153846153846],... 'String',{ 'reward dur.'; '[sec]' },... 'Style','text',... 'Tag','rewardDurLabel',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'rewardDur'; h6 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'FontSize',10,... 'Position',[13.8 10.3076923076923 8.2 1.61538461538462],... 'String','0.3',... 'Style','text',... 'Tag','rewardDur',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'rewardDurSetter'; h7 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'BackgroundColor',[0.9 0.9 0.9],... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('rewardDurSetter_Callback',hObject,eventdata,guidata(hObject)),... 'Max',20,... 'Min',0.01,... 'Position',[1.6 8.38461538461538 20.2 1.61538461538462],... 'String',{ 'Slider' },... 'Style','slider',... 'SliderStep',[0.01 0],... 'Value',0.3,... 'Tag','rewardDurSetter',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'lickThreshLabel'; h8 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'HorizontalAlignment','left',... 'Position',[2 5.46153846153846 17.2 2.46153846153846],... 'String',{ 'lick threshold'; '[sec]' },... 'Style','text',... 'Tag','lickThreshLabel',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'lickThresh'; h9 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'FontSize',10,... 'Position',[14 5.76923076923077 8.2 1.61538461538462],... 'String','0.14',... 'Style','text',... 'Tag','lickThresh',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'lickThreshSetter'; h10 = uicontrol(... 'Parent',h2,... 'Units','characters',... 'BackgroundColor',[0.9 0.9 0.9],... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('lickThreshSetter_Callback',hObject,eventdata,guidata(hObject)),... 'Max',0.5,... 'Min',0.01,... 'Position',[1.8 3.84615384615385 20.2 1.61538461538462],... 'String',{ 'Slider' },... 'Style','slider',... 'SliderStep',[0.01 0],... 'Value',0.3,... 'Tag','lickThreshSetter',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'expControlPanel'; h11 = uipanel(... 'Parent',h1,... 'Units','characters',... 'Title','Experiment control',... 'Tag','expControlPanel',... 'Clipping','on',... 'Position',[26.6 43.3076923076923 56.4 3.92307692307692],... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'stop'; h12 = uicontrol(... 'Parent',h11,... 'Units','characters',... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('stop_Callback',hObject,eventdata,guidata(hObject)),... 'CData',[],... 'ListboxTop',0,... 'Position',[38 0.538461538461539 16.4 1.76923076923077],... 'String','STOP',... 'UserData',[],... 'Tag','stop',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'start'; h13 = uicontrol(... 'Parent',h11,... 'Units','characters',... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('start_Callback',hObject,eventdata,guidata(hObject)),... 'CData',[],... 'ListboxTop',0,... 'Position',[1.8 0.538461538461539 16.2 1.76923076923077],... 'String','START',... 'Style','togglebutton',... 'HitTest','off',... 'UserData',[],... 'Tag','start',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'pause'; h14 = uicontrol(... 'Parent',h11,... 'Units','characters',... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('pause_Callback',hObject,eventdata,guidata(hObject)),... 'CData',[],... 'ListboxTop',0,... 'Position',[19.8 0.538461538461539 16.2 1.76923076923077],... 'String','PAUSE',... 'Style','togglebutton',... 'UserData',[],... 'Tag','pause',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'currStatePanel'; h15 = uipanel(... 'Parent',h1,... 'Units','characters',... 'Title','Current state',... 'Tag','currStatePanel',... 'Clipping','on',... 'Position',[27 27.9230769230769 55 14.6923076923077],... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'state'; appdata.PropertyMetaData = { { 'DataPropertyDimension' 'DataPropertyConditionedDimension' 'DataPropertySource' 'BackgroundColorPropertyDimension' 'ColumnNameTyped' 'RowNameTyped' } { [4 2] [7 3] 'DataDefault' [2 3] { 'prev' 'curr' 'next' } { 'iTrial' 'freq' 'targ?' 'resp?' 'respTime' 'corr?' 'ITL' } } }; h16 = uitable(... 'Parent',h15,... 'Units','characters',... 'BackgroundColor',[1 1 1;0.96078431372549 0.96078431372549 0.96078431372549],... 'ColumnFormat',{ 'numeric' 'numeric' 'numeric' },... 'ColumnEditable',mat{1},... 'ColumnName',{ 'prev'; 'curr'; 'next' },... 'ColumnWidth',{ 53 53 53 },... 'Data',{ [] [] []; [] [] []; [] [] []; [] [] []; [] [] []; [] [] []; [] [] [] },... 'FontSize',7,... 'Position',[1.8 0.692307692307692 50.4 12.4615384615385],... 'RowName',{ 'iTrial'; 'freq'; 'targ?'; 'resp?'; 'respTime'; 'corr?'; 'ITL' },... 'UserData',[],... 'Tag','state',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'configPanel'; h17 = uipanel(... 'Parent',h1,... 'Units','characters',... 'Title','Config',... 'Tag','configPanel',... 'Clipping','on',... 'Position',[83.8 14.0769230769231 74.2 33.1538461538462],... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'config'; appdata.PropertyMetaData = { { 'DataPropertyDimension' 'DataPropertyConditionedDimension' 'DataPropertySource' 'BackgroundColorPropertyDimension' 'ColumnNameTyped' 'RowNameTyped' } { [4 2] [4 3] 'DataDefault' [2 3] { 'mouseId' 'taskType' 'phase' } { blanks(0) blanks(0) blanks(0) blanks(0) } } }; h18 = uitable(... 'Parent',h17,... 'Units','characters',... 'ColumnFormat',{ [] [] [] },... 'ColumnEditable',mat{2},... 'ColumnName',{ 'mouseId'; 'taskType'; 'phase' },... 'ColumnWidth',{ 85 100 50 },... 'Data',{ blanks(0) blanks(0) blanks(0); blanks(0) blanks(0) blanks(0); blanks(0) blanks(0) blanks(0); blanks(0) blanks(0) blanks(0) },... 'Position',[1.4 17.6153846153846 48.6 13.9230769230769],... 'RowName',blanks(0),... 'CellSelectionCallback',@(hObject,eventdata)mtrainer_GUI_export('config_CellSelectionCallback',hObject,eventdata,guidata(hObject)),... 'UserData',[],... 'Tag','config',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'loadConfig'; h19 = uicontrol(... 'Parent',h17,... 'Units','characters',... 'Callback',@(hObject,eventdata)mtrainer_GUI_export('loadConfig_Callback',hObject,eventdata,guidata(hObject)),... 'CData',[],... 'ListboxTop',0,... 'Position',[51.8 29.7692307692308 16.4 1.76923076923077],... 'String','LOAD',... 'UserData',[],... 'Tag','loadConfig',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'configLoaded'; h20 = uicontrol(... 'Parent',h17,... 'Units','characters',... 'Enable','inactive',... 'Position',[51.8 27.4615384615385 21.2 1.76923076923077],... 'String','Config loaded ?',... 'Style','checkbox',... 'SelectionHighlight','off',... 'Tag','configLoaded',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); appdata = []; appdata.lastValidTag = 'lickSensorAxes'; h21 = axes(... 'Parent',h1,... 'Units','characters',... 'Position',[5.8 14.8461538461538 74.2 12.4615384615385],... 'CameraPosition',[0.5 0.5 9.16025403784439],... 'CameraPositionMode',get(0,'defaultaxesCameraPositionMode'),... 'Color',get(0,'defaultaxesColor'),... 'ColorOrder',get(0,'defaultaxesColorOrder'),... 'LooseInset',[23.218 6.19384615384616 16.967 4.22307692307692],... 'XColor',get(0,'defaultaxesXColor'),... 'YColor',get(0,'defaultaxesYColor'),... 'ZColor',get(0,'defaultaxesZColor'),... 'Tag','lickSensorAxes',... 'CreateFcn', {@local_CreateFcn, blanks(0), appdata} ); h22 = get(h21,'title'); set(h22,... 'Parent',h21,... 'Units','data',... 'FontUnits','points',... 'BackgroundColor','none',... 'Color',[0 0 0],... 'DisplayName',blanks(0),... 'EdgeColor','none',... 'EraseMode','normal',... 'DVIMode','auto',... 'FontAngle','normal',... 'FontName','Helvetica',... 'FontSize',10,... 'FontWeight','normal',... 'HorizontalAlignment','center',... 'LineStyle','-',... 'LineWidth',0.5,... 'Margin',2,... 'Position',[0.5 1.04012345679012 1.00005459937205],... 'Rotation',0,... 'String',blanks(0),... 'Interpreter','tex',... 'VerticalAlignment','bottom',... 'ButtonDownFcn',[],... 'CreateFcn', {@local_CreateFcn, [], ''} ,... 'DeleteFcn',[],... 'BusyAction','queue',... 'HandleVisibility','off',... 'HelpTopicKey',blanks(0),... 'HitTest','on',... 'Interruptible','on',... 'SelectionHighlight','on',... 'Serializable','on',... 'Tag',blanks(0),... 'UserData',[],... 'Visible','on',... 'XLimInclude','on',... 'YLimInclude','on',... 'ZLimInclude','on',... 'CLimInclude','on',... 'ALimInclude','on',... 'IncludeRenderer','on',... 'Clipping','off'); h23 = get(h21,'xlabel'); set(h23,... 'Parent',h21,... 'Units','data',... 'FontUnits','points',... 'BackgroundColor','none',... 'Color',[0 0 0],... 'DisplayName',blanks(0),... 'EdgeColor','none',... 'EraseMode','normal',... 'DVIMode','auto',... 'FontAngle','normal',... 'FontName','Helvetica',... 'FontSize',10,... 'FontWeight','normal',... 'HorizontalAlignment','center',... 'LineStyle','-',... 'LineWidth',0.5,... 'Margin',2,... 'Position',[0.497304582210243 -0.145061728395062 1.00005459937205],... 'Rotation',0,... 'String',blanks(0),... 'Interpreter','tex',... 'VerticalAlignment','cap',... 'ButtonDownFcn',[],... 'CreateFcn', {@local_CreateFcn, [], ''} ,... 'DeleteFcn',[],... 'BusyAction','queue',... 'HandleVisibility','off',... 'HelpTopicKey',blanks(0),... 'HitTest','on',... 'Interruptible','on',... 'SelectionHighlight','on',... 'Serializable','on',... 'Tag',blanks(0),... 'UserData',[],... 'Visible','on',... 'XLimInclude','on',... 'YLimInclude','on',... 'ZLimInclude','on',... 'CLimInclude','on',... 'ALimInclude','on',... 'IncludeRenderer','on',... 'Clipping','off'); h24 = get(h21,'ylabel'); set(h24,... 'Parent',h21,... 'Units','data',... 'FontUnits','points',... 'BackgroundColor','none',... 'Color',[0 0 0],... 'DisplayName',blanks(0),... 'EdgeColor','none',... 'EraseMode','normal',... 'DVIMode','auto',... 'FontAngle','normal',... 'FontName','Helvetica',... 'FontSize',10,... 'FontWeight','normal',... 'HorizontalAlignment','center',... 'LineStyle','-',... 'LineWidth',0.5,... 'Margin',2,... 'Position',[-0.0768194070080863 0.490740740740741 1.00005459937205],... 'Rotation',90,... 'String',blanks(0),... 'Interpreter','tex',... 'VerticalAlignment','bottom',... 'ButtonDownFcn',[],... 'CreateFcn', {@local_CreateFcn, [], ''} ,... 'DeleteFcn',[],... 'BusyAction','queue',... 'HandleVisibility','off',... 'HelpTopicKey',blanks(0),... 'HitTest','on',... 'Interruptible','on',... 'SelectionHighlight','on',... 'Serializable','on',... 'Tag',blanks(0),... 'UserData',[],... 'Visible','on',... 'XLimInclude','on',... 'YLimInclude','on',... 'ZLimInclude','on',... 'CLimInclude','on',... 'ALimInclude','on',... 'IncludeRenderer','on',... 'Clipping','off'); h25 = get(h21,'zlabel'); set(h25,... 'Parent',h21,... 'Units','data',... 'FontUnits','points',... 'BackgroundColor','none',... 'Color',[0 0 0],... 'DisplayName',blanks(0),... 'EdgeColor','none',... 'EraseMode','normal',... 'DVIMode','auto',... 'FontAngle','normal',... 'FontName','Helvetica',... 'FontSize',10,... 'FontWeight','normal',... 'HorizontalAlignment','right',... 'LineStyle','-',... 'LineWidth',0.5,... 'Margin',2,... 'Position',[-0.0795148247978437 2.65740740740741 1.00005459937205],... 'Rotation',0,... 'String',blanks(0),... 'Interpreter','tex',... 'VerticalAlignment','middle',... 'ButtonDownFcn',[],... 'CreateFcn', {@local_CreateFcn, [], ''} ,... 'DeleteFcn',[],... 'BusyAction','queue',... 'HandleVisibility','off',... 'HelpTopicKey',blanks(0),... 'HitTest','on',... 'Interruptible','on',... 'SelectionHighlight','on',... 'Serializable','on',... 'Tag',blanks(0),... 'UserData',[],... 'Visible','off',... 'XLimInclude','on',... 'YLimInclude','on',... 'ZLimInclude','on',... 'CLimInclude','on',... 'ALimInclude','on',... 'IncludeRenderer','on',... 'Clipping','off'); hsingleton = h1; % --- Set application data first then calling the CreateFcn. function local_CreateFcn(hObject, eventdata, createfcn, appdata) if ~isempty(appdata) names = fieldnames(appdata); for i=1:length(names) name = char(names(i)); setappdata(hObject, name, getfield(appdata,name)); end end if ~isempty(createfcn) if isa(createfcn,'function_handle') createfcn(hObject, eventdata); else eval(createfcn); end end % --- Handles default GUIDE GUI creation and callback dispatch function varargout = gui_mainfcn(gui_State, varargin) gui_StateFields = {'gui_Name' 'gui_Singleton' 'gui_OpeningFcn' 'gui_OutputFcn' 'gui_LayoutFcn' 'gui_Callback'}; gui_Mfile = ''; for i=1:length(gui_StateFields) if ~isfield(gui_State, gui_StateFields{i}) error(message('MATLAB:guide:StateFieldNotFound', gui_StateFields{ i }, gui_Mfile)); elseif isequal(gui_StateFields{i}, 'gui_Name') gui_Mfile = [gui_State.(gui_StateFields{i}), '.m']; end end numargin = length(varargin); if numargin == 0 % MTRAINER_GUI_EXPORT % create the GUI only if we are not in the process of loading it % already gui_Create = true; elseif local_isInvokeActiveXCallback(gui_State, varargin{:}) % MTRAINER_GUI_EXPORT(ACTIVEX,...) vin{1} = gui_State.gui_Name; vin{2} = [get(varargin{1}.Peer, 'Tag'), '_', varargin{end}]; vin{3} = varargin{1}; vin{4} = varargin{end-1}; vin{5} = guidata(varargin{1}.Peer); feval(vin{:}); return; elseif local_isInvokeHGCallback(gui_State, varargin{:}) % MTRAINER_GUI_EXPORT('CALLBACK',hObject,eventData,handles,...) gui_Create = false; else % MTRAINER_GUI_EXPORT(...) % create the GUI and hand varargin to the openingfcn gui_Create = true; end if ~gui_Create % In design time, we need to mark all components possibly created in % the coming callback evaluation as non-serializable. This way, they % will not be brought into GUIDE and not be saved in the figure file % when running/saving the GUI from GUIDE. designEval = false; if (numargin>1 && ishghandle(varargin{2})) fig = varargin{2}; while ~isempty(fig) && ~ishghandle(fig,'figure') fig = get(fig,'parent'); end designEval = isappdata(0,'CreatingGUIDEFigure') || isprop(fig,'__GUIDEFigure'); end if designEval beforeChildren = findall(fig); end % evaluate the callback now varargin{1} = gui_State.gui_Callback; if nargout [varargout{1:nargout}] = feval(varargin{:}); else feval(varargin{:}); end % Set serializable of objects created in the above callback to off in % design time. Need to check whether figure handle is still valid in % case the figure is deleted during the callback dispatching. if designEval && ishghandle(fig) set(setdiff(findall(fig),beforeChildren), 'Serializable','off'); end else if gui_State.gui_Singleton gui_SingletonOpt = 'reuse'; else gui_SingletonOpt = 'new'; end % Check user passing 'visible' P/V pair first so that its value can be % used by oepnfig to prevent flickering gui_Visible = 'auto'; gui_VisibleInput = ''; for index=1:2:length(varargin) if length(varargin) == index || ~ischar(varargin{index}) break; end % Recognize 'visible' P/V pair len1 = min(length('visible'),length(varargin{index})); len2 = min(length('off'),length(varargin{index+1})); if ischar(varargin{index+1}) && strncmpi(varargin{index},'visible',len1) && len2 > 1 if strncmpi(varargin{index+1},'off',len2) gui_Visible = 'invisible'; gui_VisibleInput = 'off'; elseif strncmpi(varargin{index+1},'on',len2) gui_Visible = 'visible'; gui_VisibleInput = 'on'; end end end % Open fig file with stored settings. Note: This executes all component % specific CreateFunctions with an empty HANDLES structure. % Do feval on layout code in m-file if it exists gui_Exported = ~isempty(gui_State.gui_LayoutFcn); % this application data is used to indicate the running mode of a GUIDE % GUI to distinguish it from the design mode of the GUI in GUIDE. it is % only used by actxproxy at this time. setappdata(0,genvarname(['OpenGuiWhenRunning_', gui_State.gui_Name]),1); if gui_Exported gui_hFigure = feval(gui_State.gui_LayoutFcn, gui_SingletonOpt); % make figure invisible here so that the visibility of figure is % consistent in OpeningFcn in the exported GUI case if isempty(gui_VisibleInput) gui_VisibleInput = get(gui_hFigure,'Visible'); end set(gui_hFigure,'Visible','off') % openfig (called by local_openfig below) does this for guis without % the LayoutFcn. Be sure to do it here so guis show up on screen. movegui(gui_hFigure,'onscreen'); else gui_hFigure = local_openfig(gui_State.gui_Name, gui_SingletonOpt, gui_Visible); % If the figure has InGUIInitialization it was not completely created % on the last pass. Delete this handle and try again. if isappdata(gui_hFigure, 'InGUIInitialization') delete(gui_hFigure); gui_hFigure = local_openfig(gui_State.gui_Name, gui_SingletonOpt, gui_Visible); end end if isappdata(0, genvarname(['OpenGuiWhenRunning_', gui_State.gui_Name])) rmappdata(0,genvarname(['OpenGuiWhenRunning_', gui_State.gui_Name])); end % Set flag to indicate starting GUI initialization setappdata(gui_hFigure,'InGUIInitialization',1); % Fetch GUIDE Application options gui_Options = getappdata(gui_hFigure,'GUIDEOptions'); % Singleton setting in the GUI M-file takes priority if different gui_Options.singleton = gui_State.gui_Singleton; if ~isappdata(gui_hFigure,'GUIOnScreen') % Adjust background color if gui_Options.syscolorfig set(gui_hFigure,'Color', get(0,'DefaultUicontrolBackgroundColor')); end % Generate HANDLES structure and store with GUIDATA. If there is % user set GUI data already, keep that also. data = guidata(gui_hFigure); handles = guihandles(gui_hFigure); if ~isempty(handles) if isempty(data) data = handles; else names = fieldnames(handles); for k=1:length(names) data.(char(names(k)))=handles.(char(names(k))); end end end guidata(gui_hFigure, data); end % Apply input P/V pairs other than 'visible' for index=1:2:length(varargin) if length(varargin) == index || ~ischar(varargin{index}) break; end len1 = min(length('visible'),length(varargin{index})); if ~strncmpi(varargin{index},'visible',len1) try set(gui_hFigure, varargin{index}, varargin{index+1}), catch break, end end end % If handle visibility is set to 'callback', turn it on until finished % with OpeningFcn gui_HandleVisibility = get(gui_hFigure,'HandleVisibility'); if strcmp(gui_HandleVisibility, 'callback') set(gui_hFigure,'HandleVisibility', 'on'); end feval(gui_State.gui_OpeningFcn, gui_hFigure, [], guidata(gui_hFigure), varargin{:}); if isscalar(gui_hFigure) && ishghandle(gui_hFigure) % Handle the default callbacks of predefined toolbar tools in this % GUI, if any guidemfile('restoreToolbarToolPredefinedCallback',gui_hFigure); % Update handle visibility set(gui_hFigure,'HandleVisibility', gui_HandleVisibility); % Call openfig again to pick up the saved visibility or apply the % one passed in from the P/V pairs if ~gui_Exported gui_hFigure = local_openfig(gui_State.gui_Name, 'reuse',gui_Visible); elseif ~isempty(gui_VisibleInput) set(gui_hFigure,'Visible',gui_VisibleInput); end if strcmpi(get(gui_hFigure, 'Visible'), 'on') figure(gui_hFigure); if gui_Options.singleton setappdata(gui_hFigure,'GUIOnScreen', 1); end end % Done with GUI initialization if isappdata(gui_hFigure,'InGUIInitialization') rmappdata(gui_hFigure,'InGUIInitialization'); end % If handle visibility is set to 'callback', turn it on until % finished with OutputFcn gui_HandleVisibility = get(gui_hFigure,'HandleVisibility'); if strcmp(gui_HandleVisibility, 'callback') set(gui_hFigure,'HandleVisibility', 'on'); end gui_Handles = guidata(gui_hFigure); else gui_Handles = []; end if nargout [varargout{1:nargout}] = feval(gui_State.gui_OutputFcn, gui_hFigure, [], gui_Handles); else feval(gui_State.gui_OutputFcn, gui_hFigure, [], gui_Handles); end if isscalar(gui_hFigure) && ishghandle(gui_hFigure) set(gui_hFigure,'HandleVisibility', gui_HandleVisibility); end end function gui_hFigure = local_openfig(name, singleton, visible) % openfig with three arguments was new from R13. Try to call that first, if % failed, try the old openfig. if nargin('openfig') == 2 % OPENFIG did not accept 3rd input argument until R13, % toggle default figure visible to prevent the figure % from showing up too soon. gui_OldDefaultVisible = get(0,'defaultFigureVisible'); set(0,'defaultFigureVisible','off'); gui_hFigure = openfig(name, singleton); set(0,'defaultFigureVisible',gui_OldDefaultVisible); else gui_hFigure = openfig(name, singleton, visible); %workaround for CreateFcn not called to create ActiveX if feature('HGUsingMATLABClasses') peers=findobj(findall(allchild(gui_hFigure)),'type','uicontrol','style','text'); for i=1:length(peers) if isappdata(peers(i),'Control') actxproxy(peers(i)); end end end end function result = local_isInvokeActiveXCallback(gui_State, varargin) try result = ispc && iscom(varargin{1}) ... && isequal(varargin{1},gcbo); catch result = false; end function result = local_isInvokeHGCallback(gui_State, varargin) try fhandle = functions(gui_State.gui_Callback); result = ~isempty(findstr(gui_State.gui_Name,fhandle.file)) || ... (ischar(varargin{1}) ... && isequal(ishghandle(varargin{2}), 1) ... && (~isempty(strfind(varargin{1},[get(varargin{2}, 'Tag'), '_'])) || ... ~isempty(strfind(varargin{1}, '_CreateFcn'))) ); catch result = false; end
github
HelmchenLabSoftware/OCIA-master
daq_sessionInterfaceH45.m
.m
OCIA-master/behavior/daq/daq_sessionInterfaceH45.m
4,666
utf_8
4bfeda072efe6d1b8ef7c49d06067dcc
function [data, S, F, T, P] = daq_sessionInterfaceH45(dur, recordRate, condition, doPlot) % s = daq.createSession('ni'); % s.Rate = 50; % s.DurationInSeconds = 40; % s.addAnalogInputChannel('Dev1','ai0', 'Voltage'); % s.Channels.InputType = 'SingleEnded'; % s.Channels.Range = [-10 10]; realTimePlot = 0; recordChanNames = {'shutter'}; recordChanRanges = {1, 1, 1, 5, 5}; nChans = numel(recordChanNames); recordChans = cell(nChans, 1); daqreset; fprintf('Connecting hardware...\n'); s = daq.createSession('nidaq'); s.Rate = recordRate; for iChan = 1 : nChans; recordChans{iChan} = s.addAnalogInputChannel('ExtraChannels', iChan, 'Voltage'); recordChans{iChan}.Name = recordChanNames{iChan}; recordChans{iChan}.Range = repmat(recordChanRanges{iChan}, 1, 2) .* [-1 1]; recordChans{iChan}.InputType = 'SingleEnded'; end; % s.addAnalogInputChannel('ExtraChannels', 'ai0', 'Voltage'); % shutter % s.addAnalogInputChannel('ExtraChannels', 'ai1', 'Voltage'); % laser power % s.addAnalogInputChannel('ExtraChannels', 2, 'Voltage'); % motion % s.addAnalogInputChannel('ExtraChannels', 'ai3', 'Voltage'); % microphone % s.addAnalogInputChannel('ExtraChannels', 'ai4', 'Voltage'); % resonnance X position % s.addAnalogInputChannel('ExtraChannels', 'ai5', 'Voltage'); % s.addAnalogInputChannel('ExtraChannels', 'ai6', 'Voltage'); % s.addAnalogInputChannel('ExtraChannels', 'ai7', 'Voltage'); % s.Channels.InputType = 'SingleEnded'; chanRange = [-5, 5]; % s.Channels.Range = chanRange; fprintf('s1 ok.\n'); % s2 = daq.createSession(config.hardware.adaptorID); % s2.addDigitalChannel(config.hardware.digitalOut_Device, config.hardware.digitalOut_PortLine, 'OutputOnly'); % fprintf('And s2 ok. Ready to go.\n'); s.DurationInSeconds = dur; data = []; if realTimePlot; % 'Position', [150, 300, 950, 350], h = figure('Name', 'Recording', 'NumberTitle', 'off', 'WindowStyle', 'docked'); plot(0, 0); hold on; ylim(chanRange); xlim([0, s.DurationInSeconds]); end; s.addlistener('DataAvailable', @collectAndPlotData); s.startForeground(); function collectAndPlotData(~, event) data = [data (event.Data - bsxfun(@rdivide, event.Data, mean(event.Data)))']; if realTimePlot; figure(h); t = 1 : size(data, 2); plot(repmat(t ./ recordRate, 1, nChans), data(:, t)'); end; end if realTimePlot; figure(h); else h = figure('Name', 'Recording', 'NumberTitle', 'off', 'WindowStyle', 'docked'); end; colors = jet(nChans); t = 1 : size(data, 2); for iChan = 1 : nChans; subplot(nChans, 1, iChan); plot(t' ./ recordRate, data(iChan, t)', 'Color', colors(iChan, :)); ylim([min(data(iChan, :)) max(data(iChan, :))]); ylabel(recordChanNames{iChan}); end; N = 8; % figure('Name', 'Spectrogram', 'NumberTitle', 'off', 'WindowStyle', 'docked'); % % spectrogram(data, 512, 480, 512, recordRate); % spectrogram(data, 128 * N, 120 * N, 128 * N, recordRate); % colorbar; S = cell(nChans, 1); F = cell(nChans, 1); T = cell(nChans, 1); P = cell(nChans, 1); for iChan = 1 : nChans; [S{iChan}, F{iChan}, T{iChan}, P{iChan}] = spectrogram(data(iChan, :), 128 * N, 120 * N, 128 * N, recordRate); if ~doPlot; continue; end; %% plotting figure('Name', sprintf('Spectrogram_%s_%s', condition, recordChanNames{iChan}), ... 'NumberTitle', 'off', 'WindowStyle', 'docked'); realLogS = real(log(S{iChan})); subplot(2, 1, 1); imagesc(realLogS'); nFreqs = size(realLogS, 1); nSamples = size(realLogS, 2); maxFreq = recordRate * 0.5; maxT = s.DurationInSeconds; freqIDs = (0 : 1000 : round(maxFreq / 1000) * 1000) / 1000; toShowFreqs = round(0 : nFreqs / (maxFreq / 1000) : nFreqs); t = 0 : 1 : s.DurationInSeconds; timeIndex = round(0 : nSamples / (maxT / 1) : nSamples); set(gca, 'XTick', toShowFreqs, 'XTickLabel', freqIDs, 'YTick', timeIndex, 'YTickLabel', t); xlabel('Frequencies [kHz]'); ylabel('Time [s]'); subplot(2, 1, 2); freqDist = sum(realLogS, 2); secDeriv = diff(freqDist, 2); secDerivMinThresh = prctile(secDeriv, 2); peakInd = find(secDeriv < secDerivMinThresh); peakIndSingle = peakInd; peakIndSingle(diff(peakIndSingle) < 15) = []; plot(F{iChan}, freqDist); hold on; % scatter(F(peakIndSingle), freqDist(peakIndSingle) + 300, 'bx'); for iPeak = 1 : numel(peakIndSingle); text(F{iChan}(peakIndSingle(iPeak)) + 100, freqDist(peakIndSingle(iPeak)) + 400, ... sprintf('%d Hz', round(F{iChan}(peakIndSingle(iPeak)))), 'FontSize', 8); end; suptitle(strrep(sprintf('%s_%s', condition, recordChanNames{iChan}), '_', '\_')); end; end
github
HelmchenLabSoftware/OCIA-master
daq_sessionInterfaceH30.m
.m
OCIA-master/behavior/daq/daq_sessionInterfaceH30.m
6,252
utf_8
0ea24a3bcc0b8963af28024c82ae66b6
function [data, S, F, T, P] = daq_sessionInterfaceH30(dur, recordRate, condition, doPlot) % s = daq.createSession('ni'); % s.Rate = 50; % s.DurationInSeconds = 40; % s.addAnalogInputChannel('Dev1','ai0', 'Voltage'); % s.Channels.InputType = 'SingleEnded'; % s.Channels.Range = [-10 10]; realTimePlot = 0; % recordChanNames = {'shutter', 'breathing', 'microphone', 'laserPower', 'resXPos'}; % recordChanNames = {'lickSensor'}; % recordChanNames = {'lickSensor', 'microphone'}; recordChanNames = {'piezo', 'micr', 'yscan'}; % recordChanRanges = {1, 1, 1, 5, 5}; nChans = numel(recordChanNames); recordChans = cell(nChans, 1); daqreset; fprintf('Connecting hardware...\n'); s = daq.createSession('ni'); s.Rate = recordRate; % for iChan = 1 : nChans; % recordChans{iChan} = s.addAnalogInputChannel('ExtraChannels', iChan, 'Voltage'); % % recordChans{iChan} = s.addAnalogInputChannel('BehaviorBox', iChan, 'Voltage'); % recordChans{iChan}.Name = recordChanNames{iChan}; % recordChans{iChan}.Range = repmat(recordChanRanges{iChan}, 1, 2) .* [-1 1]; % recordChans{iChan}.InputType = 'SingleEnded'; % end; % s.addAnalogInputChannel('BehaviorBox', 'ai0', 'Voltage'); % piezo % s.addAnalogInputChannel('BehaviorBox', 'ai1', 'Voltage'); % micr % s.addAnalogInputChannel('BehaviorBox', 'ai2', 'Voltage'); % yscan % s.addAnalogInputChannel('ExtraChannels', 'ai0', 'Voltage'); % shutter % s.addAnalogInputChannel('ExtraChannels', 'ai1', 'Voltage'); % laser power % s.addAnalogInputChannel('ExtraChannels', 2, 'Voltage'); % motion % s.addAnalogInputChannel('ExtraChannels', 'ai3', 'Voltage'); % microphone % s.addAnalogInputChannel('ExtraChannels', 'ai4', 'Voltage'); % resonnance X position % s.addAnalogInputChannel('ExtraChannels', 'ai5', 'Voltage'); % s.addAnalogInputChannel('ExtraChannels', 'ai6', 'Voltage'); % s.addAnalogInputChannel('ExtraChannels', 'ai7', 'Voltage'); s.addAnalogOutputChannel('ExtraChannels', 'ao0', 'Voltage'); % imaging TTL gate % s.Channels.InputType = 'SingleEnded'; chanRange = [-10, 10]; % s.Channels.Range = chanRange; fprintf('Hardware connected.\n'); % s2 = daq.createSession(config.hardware.adaptorID); % s2.addDigitalChannel(config.hardware.digitalOut_Device, config.hardware.digitalOut_PortLine, 'OutputOnly'); % fprintf('And s2 ok. Ready to go.\n'); s.DurationInSeconds = dur; data = []; if realTimePlot; % 'Position', [150, 300, 950, 350], h = figure('Name', 'Recording', 'NumberTitle', 'off', 'WindowStyle', 'docked'); plot(0, 0); hold on; ylim(chanRange); xlim([0, s.DurationInSeconds]); end; s.addlistener('DataAvailable', @collectAndPlotData); % gongMat = load('gong.mat'); % m = load('C:\Users\laurenczy\Desktop\cloudOfTonesParameters.mat'); % cloudOfTones = MakeCloudOfTonesSound(m.freqs * 0.5, m.uniqueCloudCenterIndexes, m.cloudDispersion, m.stims, m.toneDur, ... % m.toneISI, m.stimDur, 1, m.sampFreq, 0, 0); % s.startForeground(); s.startBackground(); % pause(1); % sound(gongMat.y * 0.3); % sound(repmat(cloudOfTones{2}, 1, 10), m.sampFreq); % pause(0.5); % sound(cloudOfTones{2}, m.sampFreq); % pause(0.5); % sound(cloudOfTones{3}, m.sampFreq); % pause(0.5); % sound(cloudOfTones{4}, m.sampFreq); % pause(0.5); % sound(cloudOfTones{5}, m.sampFreq); s.wait(); function collectAndPlotData(~, event) currentData = event.Data; if isempty(data); currentData(fix(0.001 * recordRate) : end, :) = NaN; end; data = [data (currentData - bsxfun(@rdivide, currentData, mean(currentData)))']; if realTimePlot; figure(h); t = 1 : size(data, 2); plot(repmat(t ./ recordRate, 1, nChans), data(:, t)'); end; end if realTimePlot; figure(h); else h = figure('Name', 'Recording', 'NumberTitle', 'off', 'WindowStyle', 'docked'); end; colors = lines(nChans); % colors = jet(nChans); t = 1 : size(data, 2); for iChan = 1 : nChans; subplot(nChans, 1, iChan); dataForChan = data(iChan, :); % normData = linScale(dataForChan - nanmean(dataForChan), -1, 1); normData = dataForChan - nanmean(dataForChan); % normData = dataForChan; plot(t' ./ recordRate, normData', 'Color', colors(iChan, :)); % minData = nanmin(normData); % maxData = nanmax(normData); % ylim([min(minData, -1) max(maxData, 1)]); ylabel(recordChanNames{iChan}); end; N = 8; % figure('Name', 'Spectrogram', 'NumberTitle', 'off', 'WindowStyle', 'docked'); % % spectrogram(data, 512, 480, 512, recordRate); % spectrogram(data, 128 * N, 120 * N, 128 * N, recordRate); % colorbar; S = cell(nChans, 1); F = cell(nChans, 1); T = cell(nChans, 1); P = cell(nChans, 1); for iChan = 1 : nChans; [S{iChan}, F{iChan}, T{iChan}, P{iChan}] = spectrogram(data(iChan, :), 128 * N, 120 * N, 128 * N, recordRate); if ~doPlot; continue; end; %% plotting figure('Name', sprintf('Spectrogram_%s_%s', condition, recordChanNames{iChan}), ... 'NumberTitle', 'off', 'WindowStyle', 'docked'); realLogS = real(log(S{iChan})); subplot(2, 1, 1); imagesc(realLogS'); nFreqs = size(realLogS, 1); nSamples = size(realLogS, 2); maxFreq = recordRate * 0.5; maxT = s.DurationInSeconds; freqIDs = (0 : 1000 : round(maxFreq / 1000) * 1000) / 1000; toShowFreqs = round(0 : nFreqs / (maxFreq / 1000) : nFreqs); t = 0 : 1 : s.DurationInSeconds; timeIndex = round(0 : nSamples / (maxT / 1) : nSamples); set(gca, 'XTick', toShowFreqs, 'XTickLabel', freqIDs, 'YTick', timeIndex, 'YTickLabel', t); xlabel('Frequencies [kHz]'); ylabel('Time [s]'); subplot(2, 1, 2); freqDist = nansum(realLogS, 2); secDeriv = diff(freqDist, 2); secDerivMinThresh = prctile(secDeriv, 2); peakInd = find(secDeriv < secDerivMinThresh); peakIndSingle = peakInd; peakIndSingle(diff(peakIndSingle) < 15) = []; plot(F{iChan}, freqDist); hold on; % scatter(F(peakIndSingle), freqDist(peakIndSingle) + 300, 'bx'); for iPeak = 1 : numel(peakIndSingle); text(F{iChan}(peakIndSingle(iPeak)) + 100, freqDist(peakIndSingle(iPeak)) + 400, ... sprintf('%d Hz', round(F{iChan}(peakIndSingle(iPeak)))), 'FontSize', 8); end; suptitle(strrep(sprintf('%s_%s', condition, recordChanNames{iChan}), '_', '\_')); end; end
github
HelmchenLabSoftware/OCIA-master
daq_sessionInterface.m
.m
OCIA-master/behavior/daq/daq_sessionInterface.m
1,475
utf_8
7db7e719bbb05c2ed3fc8276d2d00939
function daq_sessionInterface(config) % s = daq.createSession('ni'); % s.Rate = 50; % s.DurationInSeconds = 40; % s.addAnalogInputChannel('Dev1','ai0', 'Voltage'); % s.Channels.InputType = 'SingleEnded'; % s.Channels.Range = [-10 10]; % daqreset; fprintf('Connecting hardware...\n'); s = daq.createSession(config.hardware.adaptorID); recordRate = config.hardware.analogIn_SampleRate; recordRate = 1000; s.Rate = recordRate; s.addAnalogInputChannel(config.hardware.analogIn_Device, ... config.hardware.analogIn_Channel, 'Voltage'); s.Channels.InputType = config.hardware.analogIn_InputType; s.Channels.Range = config.hardware.analogIn_Range; fprintf('s1 ok.\n'); % s2 = daq.createSession(config.hardware.adaptorID); % s2.addDigitalChannel(config.hardware.digitalOut_Device, config.hardware.digitalOut_PortLine, 'OutputOnly'); % fprintf('And s2 ok. Ready to go.\n'); s.DurationInSeconds = 10; global data; data = []; global h; % 'Position', [150, 300, 950, 350], h = figure('Name', 'ContinuousRecording', 'NumberTitle', 'off', ... 'MenuBar', 'none', 'ToolBar', 'none', 'WindowStyle', 'docked'); plot(0, 0); hold on; xlim([-0.3, s.DurationInSeconds * s.Rate * 1.1]); % ylim([-0.3 0.3]); lh = s.addlistener('DataAvailable', @collectAndPlotData); s.startForeground(); function collectAndPlotData(~, event) % fprintf('#collectData\n'); data = [data (event.Data - mean(event.Data))']; t = 1 : numel(data(data ~= 0)); plot(t, data(t)); end end
github
HelmchenLabSoftware/OCIA-master
daq_ni_usb6008.m
.m
OCIA-master/behavior/daq/daq_ni_usb6008.m
2,637
utf_8
8f4ab52789a17dc8daf2ef4e7fcd36ee
function daq_ni_usb6008 ai=analoginput('nidaq','Dev1'); ao=analogoutput('nidaq','Dev1'); dio=digitalio('nidaq','Dev1'); disp('done create device') testMode = 'analogIn'; % analogOut or analogIn or digital switch lower(testMode) case 'analogin' %% Collect analog input % analog input channel addchannel(ai, 0); disp('done add channel') % get available properties % get(ai); % set some properties set(ai,'InputType','SingleEnded') % sample rate and recording duration ai.SampleRate = 10000; ai.SamplesPerTrigger = 50000; % can be Inf for continuous acquisition disp('Press any key to start') pause % start acquisition start(ai); % get data data = getdata(ai); plot(data) stop(ai), delete(ai) case 'analogout' %% Write analog output % analog output channel addchannel(ao, 1) % get available properties get(ao); % sample rate and recording duration samplingInterval = 0.005; % in s tMax = 100; n = tMax ./samplingInterval; a = [0 1]; a = repmat(a,1,n./2); startDelay = 0.5; % in s % have to send each sample separately (USB-6008 does not support % putdata / start combination) % use a timer object % create the timer t = timer('period',samplingInterval,'startDelay',startDelay,... 'TasksToExecute',numel(a),'ExecutionMode','fixedRate'); % callback functions t.StartFcn = @timerStartFcn; t.StopFcn = @timerStopFcn; t.TimerFcn = {@timerFcn,a,ao}; % start timer start(t) case 'digital' %% Digital IO % digital io digital_out = addline(dio,0:7,'out'); digital_in = addline(dio,8:11,'in'); % output loop value = [0 0 0 0 0 0 0 0]; for n = 1:50 if value(1) == 0 % only change line 1 value(1) = 1; else value(1) = 0; end % change digital out putvalue(digital_out,value) % get digital in io1 = getvalue(dio.Line(9)); fprintf('\nDigital in is %1.0f\n',io1) pause(0.5) end % switch off value = [1 0 0 0 0 0 0 0]; putvalue(digital_out,value) end function timerFcn(t,event,data,ao) putsample(ao,data(t.TasksExecuted)) function timerStartFcn(t,event) disp('Timer started') function timerStopFcn(t,event) disp('Timer stopped') delete(t)
github
HelmchenLabSoftware/OCIA-master
waitForExternalTrigger_H30.m
.m
OCIA-master/behavior/daq/waitForExternalTrigger_H30.m
1,558
utf_8
080163444a2aff0f5793c00952a3c729
function status = waitForExternalTrigger_H30(timeout) % input argument: timeout in seconds % RETURNS: % - status = 0 if waiting timed out % - status = 1 if trigger was successfully received % - status = 2 if could not connect to the nidaq analog input (or other error) % created on 2014-02-01 by Balazs Laurenczy ([email protected]) status = 0; try s = daq.createSession('ni'); s.Rate = 1000; s.addAnalogInputChannel('ScanOutputCard', 'ai0', 'Voltage'); s.Channels.Range = [-1 1]; s.Channels.InputType = 'SingleEnded'; s.DurationInSeconds = timeout; s.NotifyWhenDataAvailableExceeds = 50; s.addlistener('DataAvailable', @checkTriggerInData); catch err; %#ok<NASGU> warning('externalTrigger_nidaq:ConnectError', 'Could not connect to nidaq analog input!'); status = 2; return; end; thresh = NaN; status = 0; function checkTriggerInData(~, event) if isnan(thresh); thresh = max(max(event.Data) * 5, 0.15); % o('Defined thresh: %6.4f, max(data): %6.4f.', thresh, max(event.Data), 0, 0); end; % o('Collected data, thresh: %6.4f, max(data): %6.4f.', thresh, max(event.Data), 0, 0); timePointAboveThresh = find(event.Data > thresh, 1); if ~isempty(timePointAboveThresh); % firstTimePointAboveThresh = timePointAboveThresh(1); % o('Found trigger, firstTimePointAboveThresh: %d/%d.', firstTimePointAboveThresh, numel(event.Data), 0, 0); status = 1; s.stop(); end; end try s.startForeground(); catch err; %#ok<NASGU> end; end
github
HelmchenLabSoftware/OCIA-master
externalTrigger_nidaq.m
.m
OCIA-master/behavior/daq/externalTrigger_nidaq.m
1,910
utf_8
52a0ca32193ecd4ba0079915dae9e268
function status = waitForExternalTrigger_H30(timeout) % input argument: timeout in seconds % RETURNS: % - status = 0 if waiting timed out % - status = 1 if trigger was successfully received % - status = 2 if could not connect to the nidaq analog input % this file written by Henry Luetcke ([email protected]) % modified on 2013-03-20 by Balazs Laurenczy ([email protected]) % modified more on 2013-12-19 by Balazs Laurenczy ([email protected]) status = 0; % Create an analog input object using Board ID "Dev1". try s = daq.createSession('ni'); s.Rate = 2000000; s.addAnalogInputChannel('ExtraChannels', 'ai0', 'Voltage'); s.Channels.Range = [-1 1]; s.Channels.InputType = 'SingleEnded'; s.DurationInSeconds = 3; lh = s.addlistener('DataAvailable', @checkTriggerInData); catch err; %#ok<NASGU> warning('externalTrigger_nidaq:ConnectError', 'Could not connect to nidaq analog input!'); status = 2; return; end; thresh = NaN; function checkTriggerInData(~, event) if isnan(thresh); thresh = max(event.Data) * 5; end; o('Collected data, thresh: %6.4f, max(data): %6.4f.', thresh, max(event.Data), 0, 0); timePointAboveThresh = find(event.Data > thresh); if ~isempty(timePointAboveThresh); firstTimePointAboveThresh = timePointAboveThresh(1); o('Found trigger, firstTimePointAboveThresh: %d/%d.', firstTimePointAboveThresh, numel(event.Data), 0, 0); end; end % set(ai,'TriggerType','HwAnalog'); % set(s.Channels, 'TriggerType', 'HwDigital'); % set(s.Channels, 'TriggerCondition', 'PositiveEdge'); % for HelioScan % set(s.Channels, 'HwDigitalTriggerSource', 'PFI0'); s.startForeground(); % % Wait up to timeout seconds for the acquisition to complete % try % wait(ai, timeout); % data = getdata(ai); % status = 1; % catch % status = 0; % end % % % Clean up % stop(ai); % delete(ai); end
github
HelmchenLabSoftware/OCIA-master
analyseBehavPerf.m
.m
OCIA-master/behavior/perfAnalysis/analyseBehavPerf.m
5,182
utf_8
6051e144aa04de4837f45fd6cc287d3c
%% Function - analyseBehavPerf function counts = analyseBehavPerf(respTypes, binWidthProp, binWidthCum, doBinCout) dbgLvl = 0; o(' #analyzeBehavPerf(): nTrials: %d.', size(respTypes, 2), 1, dbgLvl); % transform the response types into sums respTypeToRespCountTic = tic; % for performance timing purposes respCount = zeros(5, 1); respTypes(isnan(respTypes)) = 6; for i = 1:5; respCount(i) = sum(respTypes == i); end; o(' #analyzeBehavPerf(): respTypeToRespCountTic: %.2f ms...', toc(respTypeToRespCountTic) * 1000, 2, dbgLvl); singleCountsTic = tic; % for performance timing purposes counts = struct(); % responseCount columns: correct detect, correct reject, false alarm, miss counts.TOT = sum(respCount); counts.INVALID = respCount(5); counts.INVALIDP = counts.INVALID / counts.TOT * 100; % INVALID response (kind of false alarm) counts.VTOT = counts.TOT - counts.INVALID; counts.VTOTP = counts.VTOT / counts.TOT * 100; % "valid" responses (non-INVALID) % all response types with their percent counts.TGO = respCount(1); counts.NTNGO = respCount(2); counts.NTGO = respCount(3); counts.TNGO = respCount(4); % targets and targets in percent counts.T = counts.TGO + counts.TNGO; counts.TP = counts.T / counts.VTOT * 100; % non-targets and non-targets in percent counts.NT = counts.NTNGO + counts.NTGO; counts.NTP = counts.NT / counts.VTOT * 100; % GOs and GOs in percent counts.GO = counts.TGO + counts.NTGO; counts.GOP = counts.GO / counts.VTOT * 100; % NO-GOs and NO-GO in percent counts.NGO = counts.TNGO + counts.NTNGO; counts.NGOP = counts.NGO / counts.VTOT * 100; % corrects and corrects in percent counts.C = counts.TGO + counts.NTNGO; counts.CP = counts.C / counts.VTOT * 100; % falses and falses in percent counts.F = counts.TNGO + counts.NTGO; counts.FP = counts.F / counts.VTOT * 100; % correctness index taking into acount falses counts.CiP = (counts.CP - counts.FP + 100) / 2 ; counts.DPRIME = dprime(counts.TGO ./ counts.T, ... counts.NTGO ./ counts.NT, counts.T, counts.NT); % reponse type percents counts.TGOP = counts.TGO / counts.T * 100; counts.NTNGOP = counts.NTNGO / counts.NT * 100; counts.NTGOP = counts.NTGO / counts.NT * 100; counts.TNGOP = counts.TNGO / counts.T * 100; o(' #analyzeBehavPerf(): singleCountsTic: %.2f ms...', toc(singleCountsTic) * 1000, 2, dbgLvl); if ~doBinCout; return; end; binCountsTic = tic; % for performance timing purposes % evolution of indexes over time counts.TGOs = zeros(1, counts.TOT); counts.NTNGOs = zeros(1, counts.TOT); counts.NTGOs = zeros(1, counts.TOT); counts.TNGOs = zeros(1, counts.TOT); counts.INVALIDs = zeros(1, counts.TOT); counts.DPRIMEs = zeros(1, counts.TOT); if isempty(binWidthCum); useProp = 1; binWidth = max(fix(counts.TOT * binWidthProp), 1); else useProp = 0; binWidth = binWidthCum; end; if isempty(binWidth); error('mtrainerAnalyzer_getCounts:NoBinWidth', 'No bin width specified'); end; for i = 1 : counts.TOT; if binWidth ~= -1; if useProp; iStart = max(i - binWidth, 1); iEnd = min(i + binWidth, counts.TOT); else iStart = ceil(max(i - 0.5 * (binWidth - 1), 1)); iEnd = floor(min(i + 0.5 * (binWidth - 1), counts.TOT)); end; T = sum(ismember(respTypes(iStart : iEnd), [1 4])); NT = sum(ismember(respTypes(iStart : iEnd), [2 3])); counts.TGOs(i) = (sum(respTypes(iStart : iEnd) == 1) / T) * 100; counts.NTNGOs(i) = (sum(respTypes(iStart : iEnd) == 2) / NT) * 100; counts.NTGOs(i) = (sum(respTypes(iStart : iEnd) == 3) / NT) * 100; counts.TNGOs(i) = (sum(respTypes(iStart : iEnd) == 4) / T) * 100; counts.INVALIDs(i) = (sum(respTypes(iStart : iEnd) == 5) / (iEnd - iStart)) * 100; countsForBin = analyseBehavPerf(respTypes(iStart : iEnd), binWidthProp, binWidthCum, 0); counts.DPRIMEs(i) = dprime(countsForBin.TGO ./ countsForBin.T, ... countsForBin.NTGO ./ countsForBin.NT, countsForBin.T, countsForBin.NT); else counts.TGOs(i) = sum(respTypes(1 : i) == 1) / i * 100; counts.NTNGOs(i) = sum(respTypes(1 : i) == 2) / i * 100; counts.NTGOs(i) = sum(respTypes(1 : i) == 3) / i * 100; counts.TNGOs(i) = sum(respTypes(1 : i) == 4) / i * 100; counts.INVALIDs(i) = sum(respTypes(1 : i) == 5) / i * 100; countsForBin = analyseBehavPerf(respTypes(1 : i), binWidthProp, binWidthCum, 0); counts.DPRIMEs(i) = dprime(countsForBin.TGO ./ countsForBin.T, ... countsForBin.NTGO ./ countsForBin.NT, countsForBin.T, countsForBin.NT); end; end; counts.RESPs = (counts.TGOs + counts.NTGOs) / 2; o(' #analyzeBehavPerf(): binCountsTic: %.2f ms...', toc(binCountsTic) * 1000, 2, dbgLvl); end
github
HelmchenLabSoftware/OCIA-master
mtrainerAnalyser_pooledPerformance_bins.m
.m
OCIA-master/behavior/mtrainer/mtrainerAnalyser_pooledPerformance_bins.m
6,607
utf_8
542605197d955dd0ad8e813ec2c311a0
%% Function - mtrainerAnalyser_pooledPerformance function figHand = mtrainerAnalyser_pooledPerformance_bins(outAll, titleStr, binWidth) % dbgLevel = 2; nTrials = length(outAll.respTypes); % calculate number of bins, make sure that there is at least one nBins = max(round(nTrials / binWidth), 1); figName = titleStr; figName = strrep(figName, '\_', '_'); figName = strrep(figName, '''', ''); figName = strrep(figName, ' ', ''); figHand = figure('NumberTitle', 'off', 'WindowStyle', 'docked', 'Name', figName); hitRate = zeros(1, nBins); % correct detection, CR+, hitRate % hitRateError = zeros(1, nBins); % correct detection, CR+, hitRate errors falsePosRate = zeros(1, nBins); % false alarm, CR-, false positive % falsePosRateError = zeros(1, nBins); % false alarm, CR-, false positive errors dprimes = zeros(1, nBins); % d prime % dprimesError = zeros(1, nBins); % d prime errors useSEM = 1; prevNFreqs = 0; prevNTones = 0; dprimeMaxVal = 3.5; dprimeMinVal = -2; changeOfFreqOrToneNum = zeros(1, nBins); for iBin = 1 : nBins; iStart = (iBin - 1) * binWidth + 1; % for binWidth = 10: 1, 11, 21, etc. iEnd = min(iBin * binWidth, nTrials); % for binWidth = 10: 10, 20, 30, etc. countsForBin = mtrainerAnalyzer_getCounts(outAll.respTypes(iStart : iEnd)); % extract the current session's number of frequency and number of tones nFreqs = outAll.nFreqs(iStart : iEnd); nTones = outAll.nTones(iStart : iEnd); if ~numel(nFreqs); continue; end; nFreqs = nFreqs(1); nTones = nTones(1); % skip basic sessions % if nFreqs == 1 && nTones == 1; % hitRate(iBin) = NaN; % falsePosRate(iBin) = NaN; % dprimes(iBin) = NaN; % continue; % end; % if there is a change in the number of frequencies or tones, mark it if prevNFreqs ~= 0 && (nFreqs ~= prevNFreqs || nTones ~= prevNTones); changeOfFreqOrToneNum(iBin) = iBin - 1; end; % store for next iteration prevNFreqs = nFreqs; prevNTones = nTones; hitRate(iBin) = 100 * countsForBin.TGO / countsForBin.T; falsePosRate(iBin) = 100 * countsForBin.NTGO / countsForBin.NT; if isnan(countsForBin.DPRIME) || isinf(countsForBin.DPRIME); countsForBin.DPRIME = 0; end; % restrict the dprime value between +dprimeMaxVal and -dprimeMaxVal countsForBin.DPRIME = min(dprimeMaxVal, countsForBin.DPRIME); countsForBin.DPRIME = max(-dprimeMaxVal, countsForBin.DPRIME); dprimes(iBin) = countsForBin.DPRIME; end; TGOsHand = plot(1 : nBins, hitRate, '-sg', 'MarkerFaceColor', 'green'); % TGOsErrHand = errorbar(1 : nBins, hitRate, hitRateError, '-sg', 'MarkerFaceColor', 'green'); % removeErrorBarEnds(TGOsErrHand); hold all; hitRateAxes = gca; NTNGOsHand = plot((1 : nBins) + 0.15, falsePosRate, '-sr', 'MarkerFaceColor', 'red'); % NTNGOsErrHand = errorbar((1 : nBins) + 0.15, falsePosRate, falsePosRateError, '-sr', 'MarkerFaceColor', 'red'); % removeErrorBarEnds(NTNGOsErrHand); set(hitRateAxes, 'ylim', [0 110], 'YTick', 0 : 10 : 110, 'YTickLabel', 0 : 10 : 110); if useSEM; % ylabel('% of Trials \pm SEM'); %%#ok<UNRCH> ylabel('% of trials'); %%#ok<UNRCH> else % ylabel('% of Trials \pm SD'); %#ok<UNRCH> ylabel('% of trials'); %#ok<UNRCH> end; vertLineHandles = zeros(1, sum(changeOfFreqOrToneNum > 0)); vertLineTextHandles = zeros(2, sum(changeOfFreqOrToneNum > 0)); iLineHandle = 1; for iChange = 1 : numel(changeOfFreqOrToneNum); if ~changeOfFreqOrToneNum(iChange); continue; end; changeX = changeOfFreqOrToneNum(iChange) - 0.5; iBin = changeOfFreqOrToneNum(iChange); iStart = (iBin - 1) * binWidth + 1; % for binWidth = 10: 1, 11, 21, etc. iEnd = min(iBin * binWidth, nTrials); % for binWidth = 10: 10, 20, 30, etc. nFreqs1 = outAll.nFreqs(iStart : iEnd); nFreqs1 = nFreqs1(1); iBin = changeOfFreqOrToneNum(iChange) + 1; iStart = (iBin - 1) * binWidth + 1; % for binWidth = 10: 1, 11, 21, etc. iEnd = min(iBin * binWidth, nTrials); % for binWidth = 10: 10, 20, 30, etc. nFreqs2 = outAll.nFreqs(iStart : iEnd); nFreqs2 = nFreqs2(1); if mod(iChange, 2) == 0; changeY = 9; else changeY = 12; end; vertLineTextHandles(1, iLineHandle) = text(changeX, changeY, ... sprintf('%d freq \\leftarrow ', nFreqs1), 'HorizontalAlignment', 'right'); vertLineTextHandles(2, iLineHandle) = text(changeX, changeY, sprintf(' \\rightarrow %d freq', nFreqs2)); vertLineHandles(iLineHandle) = line([changeX changeX], [0 100], ... 'LineStyle', ':', 'Color', 'black'); iLineHandle = iLineHandle + 1; end; xlimits = [0 nBins * 1.05]; xlim(xlimits); set(hitRateAxes, 'XTick', [], 'XTickLabel', []); xTickAxes = axes('Position', get(gca, 'Position'), ... 'YAxisLocation', 'right', 'XAxisLocation', 'bottom', 'Color', 'none'); step = nBins / (nTrials / 500); set(xTickAxes, 'xlim', xlimits, ... 'XTick', 1 : step : (nBins + 1), 'XTickLabel', 0 : 500 : ((nBins + 1) * binWidth)); set(xTickAxes, 'YTick', [], 'YTickLabel', []); xlabel('Trials'); dprimeAxes = axes('Position', get(gca, 'Position'), ... 'YAxisLocation', 'right', 'XAxisLocation', 'top', 'Color', 'none'); hold all; dprimesHand = plot((1 : nBins) + 0.3, dprimes, '-sb', 'MarkerFaceColor', 'blue'); % dprimesErrHand = errorbar((1 : nBins) + 0.3, dprimes, dprimesError, '-sb', 'MarkerFaceColor', 'blue'); % removeErrorBarEnds(dprimesErrHand); set(dprimeAxes, 'ylim', [dprimeMinVal dprimeMaxVal], 'YTick', dprimeMinVal : 0.5 : dprimeMaxVal, ... 'YTickLabel', dprimeMinVal : 0.5 : dprimeMaxVal); set(dprimeAxes, 'XTick', [], 'XTickLabel', []); xlim(xlimits); if useSEM; % ylabel('d'' value \pm SEM'); %%#ok<UNRCH> ylabel('d'' value'); %%#ok<UNRCH> else % ylabel('d'' value \pm SD'); %#ok<UNRCH> ylabel('d'' value'); %#ok<UNRCH> end; % legend([TGOsErrHand, NTNGOsErrHand, dprimesErrHand], {'HitRate', 'FalsePos', 'd'''}, ... % 'Location', 'NorthWest'); legend([TGOsHand, NTNGOsHand, dprimesHand], {'HitRate', 'FalsePos', 'd'''}, ... 'Location', 'NorthWest'); % title(sprintf('%s \\fontsize{10} [Total number of trials = %.0f, binWidth = %.0f]', ... % titleStr, nTrials, binWidth)); title(titleStr); hold off; makePrettyFigure(figHand); set(xTickAxes, 'FontSize', 9); for iLineHandle = 1 : numel(vertLineHandles); set(vertLineHandles(iLineHandle), 'LineWidth', 0.5); set(vertLineTextHandles(1, iLineHandle), 'FontSize', 10); set(vertLineTextHandles(2, iLineHandle), 'FontSize', 10); end; end
github
HelmchenLabSoftware/OCIA-master
mtrainer.m
.m
OCIA-master/behavior/mtrainer/mtrainer.m
16,753
utf_8
f5cf1c7c0cf86007548ef75917035e5c
function mtrainer() % main function for mtrainer experiment suite % all times are in s! % written by Henry Luetcke ([email protected]) % 2013-05-07 % modified by Balazs Laurenczy ([email protected]) % 2013-05-15 % modified by Balazs Laurenczy ([email protected]) % 2013-08-08 doEmptyWater = 0; % doEmptyWater = 1; automode = 5; % if > 0, sets the number of seconds to wait before a new run of mtrainer lickThresh = 0.13; % lickThresh = NaN; unsavedOut = struct(); % mouseId = 'testing'; taskType = 'freqDiscrimination'; phase = 'C'; % mouseId = '130801_01'; taskType = 'freqDiscrimination'; phase = 'F'; mouseId = '130801_03'; taskType = 'freqDiscrimination'; phase = 'F'; % mouseId = '130408_02'; taskType = 'freqDiscrimination'; phase = 'D'; % mouseId = '130416_01'; taskType = 'oddballDiscrimination'; phase = 'E'; % mouseId = '130425_01'; taskType = 'freqDiscrimination'; phase = 'B'; % mouseId = '130425_02'; taskType = 'oddballDiscrimination'; phase = 'C'; % mouseId = '130528_01'; taskType = 'oddballDiscrimination'; phase = 'B'; % mouseId = '130528_02'; taskType = 'oddballDiscrimination'; phase = 'B'; basePath = 'P:\matlab\daq\mtrainer\configs\'; configMat = load([basePath taskType filesep taskType '_phase' phase '.mat']); config = configMat.config; unsavedOut.mouseId = mouseId; unsavedOut.taskType = taskType; unsavedOut.phase = phase; unsavedOut.basePath = basePath; unsavedOut.config = config; %% Setup - stimuli and trials fprintf('Setup stimuli and trials... '); % set up stimulus vector stims = []; for iFreq = 1 : numel(config.tone.freqs) stimForFreq = repmat(iFreq, 1, round(config.tone.stimProba(iFreq) * config.training.nTrials)); stims = [stims, stimForFreq]; %#ok<AGROW> end stims = stims(randperm(numel(stims))); clear stim; % set up oddball vector by altering stims with a certain probability odds = stims; oddPos = zeros(size(odds)); uniqueStims = unique(stims); isOdd = rand(1, numel(stims)) < config.tone.oddProba; uniqueOddPos = config.tone.nTones - 1 : config.tone.nTones; % last 2 tones can be odd for iStim = 1 : numel(isOdd); if isOdd(iStim); otherStims = uniqueStims(uniqueStims ~= stims(iStim)); otherStims = otherStims(randperm(numel(otherStims))); mixedOddPos = uniqueOddPos(randperm(numel(uniqueOddPos))); odds(iStim) = otherStims(1); oddPos(iStim) = mixedOddPos(1); end; end; % set up tone array toneArray = MakePureMultiToneOddballArray(config.tone.freqs, stims, odds, oddPos, ... config.tone.nTones, config.tone.toneDur, config.tone.ISI, config.tone.samplingFreq); unsavedOut.stims = stims; unsavedOut.odds = odds; unsavedOut.oddPos = oddPos; unsavedOut.isOdd = isOdd; fprintf('done.\n'); %% Setup - hardware % define globals global recordedValues; % analog input daqreset; fprintf('Connecting hardware...\n'); s1 = daq.createSession(config.hardware.adaptorID); recordRate = config.hardware.analogIn_SampleRate; % recordRate = 700; s1.Rate = recordRate; s1.addAnalogInputChannel(config.hardware.analogIn_Device, ... config.hardware.analogIn_Channel, 'Voltage'); s1.Channels(1).InputType = config.hardware.analogIn_InputType; s1.Channels(1).Range = config.hardware.analogIn_Range; fprintf('s1 ok.\n'); s2 = daq.createSession(config.hardware.adaptorID); s2.addDigitalChannel(config.hardware.digitalOut_Device, config.hardware.digitalOut_PortLine, 'OutputOnly'); fprintf('And s2 ok. Ready to go.\n'); if isnan(lickThresh); % baseline measurement fprintf('Testing analog input for licking threshold (baseline)... '); recordDuration = 2; s1.DurationInSeconds = recordDuration; baseline = s1.startForeground; % this will block the command line meanData = mean(baseline); stdData = std(baseline); lickThresh = 2.8 * stdData; fprintf('done.\n') pause(1); % lick measurement fprintf('Testing analog input for licking threshold (licking)... '); s1.DurationInSeconds = recordDuration; lick = s1.startForeground; % this will block the command line fprintf('done.\n2SD: %1.2f, lick threshold: %1.2f\n', 2 * stdData, lickThresh); % plotting figure('Name', 'LickingThreshold', 'Position', [150, 300, 950, 350], 'NumberTitle', 'off' ... ... % , 'MenuBar', 'none', 'ToolBar', 'none'); ); plot((1:numel(baseline)) / recordRate, baseline - meanData, 'b'); hold on; plot((1:numel(lick)) / recordRate, lick - meanData, 'r'); line([0, recordDuration], [lickThresh, lickThresh], 'Color', 'green'); line([0, recordDuration], [2 * stdData, 2 * stdData], 'Color', 'cyan'); line([0, recordDuration], [- 2 * stdData, - 2 * stdData], 'Color', 'cyan'); legend({'baseline', 'licking', 'lickTreshold', '\pm 2SD'}); title(sprintf('2SD: %1.2f, lick thresh %1.2f', 2 * stdData, lickThresh)); else fprintf('Testing analog input for licking threshold... skipped.\nLick threshold: %1.2f\n', ... lickThresh); end; unsavedOut.lickThresh = lickThresh; % digital out fprintf('Testing reward system by opening for %.2fs after a delay of %.2fs... ', ... config.training.rewDur, config.training.rewDelay); giveReward(s2, config.training.rewDur * 3, config.training.rewDelay); fprintf('done!\n') if doEmptyWater > 0; doEmptyWater = str2double(input('Empty water ? >0 = yes, <0 = no\n', 's')); %#ok<UNRCH> while doEmptyWater > 0; fprintf('Emptying water... '); giveReward(s2, doEmptyWater, 0); fprintf(' done.'); doEmptyWater = str2double(input('Empty more ? >0 = yes, <0 = no\n', 's')); if isnan(doEmptyWater); doEmptyWater = 0; end; if ~doEmptyWater; break; end; end; end; s1.IsNotifyWhenDataAvailableExceedsAuto = true; lh = s1.addlistener('DataAvailable', @(src, event) recordAndStop(src, event, lickThresh)); s1.IsContinuous = true; s1.prepare; %% Setup - saving settings recordedValues = 0; saveTime = datestr(now, 'yyyy_mm_dd__HH_MM_SS'); saveFolder = sprintf('C:\\Users\\laurenczy\\mtrainerData\\%s\\', mouseId); savePath = sprintf('%s%s__%s', saveFolder, mouseId, saveTime); mkdir(saveFolder); logfile = sprintf('%s_log.txt', savePath); logDateFormat = 'yyyy-mm-dd HH:MM:SS.FFF'; % create an 'onCleanup' function to handle interruptions by CTRL+C c = onCleanup(@()closeDiaryAndSaveOutput(savePath, lh, s1, s2)); fprintf('Finished setting up and hardware tests.\n'); fprintf('CHECK MOUSE ID!! currently: %s.\n', mouseId); if automode; pause(automode); else fprintf('Then press any key to start!'); %#ok<UNRCH> pause; end; unsavedOut.savePath = savePath; unsavedOut.saveTime = saveTime; diary(logfile); %% Start experiment fprintf('Experiment start: %s\n\n', datestr(now, logDateFormat)); try %% Experiment - initialize variables dbgLevel = 0; out = unsavedOut; o('config: %s phase %s (%dF%dT)', out.taskType, out.phase, numel(config.tone.freqs), ... config.tone.nTones, 0, dbgLevel); o('animal: %s', mouseId, 0, dbgLevel); o('savePath: %s', savePath, 0, dbgLevel); o('lickThresh: %1.2f, ISI: %1.2f', lickThresh, config.tone.ISI, 0, 0); o('rewardCollectionTime: %1.2f, InTriLickTimerDur: %1.2f', ... config.training.rewCollTime, ... config.training.InTriLickTimerDur, 0, dbgLevel); nTrials = config.training.nTrials; % totalTrialDur = config.training.trialDur + config.training.startDelay + ... % config.training.rewCollTime; % compute relative start times for each trial % out.trialStarts_sched = 0 : totalTrialDur : (nTrials - 1) * totalTrialDur; % out.trialStarts_obs = zeros(1, nTrials); % out.trialEnds_obs = zeros(1, nTrials); out.trialStartDelays = zeros(1, nTrials); out.trialStartTimes = zeros(1, nTrials); out.trialEndTimes = zeros(1, nTrials); out.respTimes = nan(1, nTrials); out.nInTriLick = nan(1, nTrials); out.resps = nan(1, nTrials); out.respDelays = nan(1, nTrials); % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early out.respTypes = nan(1, nTrials); out.expStartTime = tic; isPunish = 0; for iTrial = 1 : nTrials; out.iTrial = iTrial; % listen for response s1.startBackground; pause(0.01) interTrialLickCount = 0; out.trialStartTimes(iTrial) = tic; % introduce a random delay for starting the tone out.trialStartDelays(iTrial) = config.training.startDelay + ... (rand(1) - 0.5) * 2 * config.training.startDelayRand; % add punishement time-out if needed if isPunish; out.trialStartDelays(iTrial) = out.trialStartDelays(iTrial) + config.training.timeoutPunish; end; %% Experiment - initial wait while toc(uint64(out.trialStartTimes(iTrial))) < out.trialStartDelays(iTrial); % fprintf('CheckingA: s1.IsRunning? %d\n', s1.IsRunning); % check if no lick has been done if ~s1.IsRunning; % if not running anymore, it means a licking has been done remainingTime = out.trialStartDelays(iTrial) - toc(uint64(out.trialStartTimes(iTrial))); if interTrialLickCount > 0; fprintf('|%.1f', remainingTime); else fprintf(' inter-trial licking: |%.1f', remainingTime); end; % reset the starting delay to config.training.InTriLickTimerDur out.trialStartTimes(iTrial) = tic; if isPunish; out.trialStartDelays(iTrial) = max(config.training.InTriLickTimerDur, remainingTime); else out.trialStartDelays(iTrial) = config.training.InTriLickTimerDur; end; interTrialLickCount = interTrialLickCount + 1; pause(1); % restart the listening s1.startBackground; pause(0.1); % fprintf('CheckingB: s1.IsRunning? %d\n', s1.IsRunning); end % avoid full-speed looping pause(0.01); end; if interTrialLickCount; fprintf('|: %d inter-trial lick(s).\n', interTrialLickCount); end out.nInTriLick(iTrial) = interTrialLickCount; resp = 0; isPunish = 0; t_trialStart = tic; fprintf('Trial %03d/%03d - %s ... ', iTrial, nTrials, datestr(now, logDateFormat)); %% Experiment - play sound if s1.IsRunning soundToPlay = toneArray{iTrial}; player = audioplayer(soundToPlay, config.tone.samplingFreq); %#ok<TNMLP> player.play; else fprintf('early (already licking, lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... recordedValues); isPunish = 1; out.respTypes(iTrial) = 5; % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end; continue; end breakOut = 0; %% Experiment - wait for response while toc(t_trialStart) < config.training.trialDur; if s1.IsRunning % no response detected else % seconds since trial start respTime = toc(t_trialStart); out.respTimes(iTrial) = respTime; % response should be 'minRespTime' after the end of the tone! totToneDur = (config.tone.toneDur + config.tone.ISI) * config.tone.nTones - config.tone.ISI; limitRespTime = totToneDur + config.training.minRespTime; % limitRespTime = config.training.minRespTime; out.respDelays(iTrial) = limitRespTime - respTime; % early response, count as kind of false alarm if respTime < limitRespTime; % fprintf('early (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('early (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); isPunish = 1; out.respTypes(iTrial) = 5; breakOut = 1; break; else % fprintf('Lick at %s\n', datestr(clock, logDateFormat)) resp = 1; end; break; % break out of while loop end; pause(0.02); % necessary to allow time for data collection end; if breakOut; out.trialEndTimes(iTrial) = toc(uint64(out.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end; continue; % continue for loop end; if s1.IsRunning; s1.stop; end; %% Experiment - analyse response out.resps(iTrial) = resp; isOddTrial = stims(iTrial) ~= odds(iTrial); if config.tone.oddProba > 0; % oddball discrimination isTargetStim = isOddTrial && config.tone.goStim; else % frequency discrimination isTargetStim = stims(iTrial) == config.tone.goStim; end; if resp == 1 && isTargetStim; % correct response % fprintf('correct detection (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('correct detection (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); out.respTypes(iTrial) = 1; % give reward giveReward(s2,config.training.rewDur,config.training.rewDelay); % wait to collect the reward pause(config.training.rewCollTime); elseif resp == 1 && ~isTargetStim; % false alarm % fprintf('false alarm (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('false alarm (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); out.respTypes(iTrial) = 3; % punish time-out isPunish = 1; elseif resp == 0 && isTargetStim; fprintf('miss.\n'); out.respTypes(iTrial) = 4; % punish time-out isPunish = 1; elseif resp == 0 && ~isTargetStim; fprintf('correct rejection.\n'); out.respTypes(iTrial) = 2; % go to next trial end out.trialEndTimes(iTrial) = toc(uint64(out.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end end %% End experiment fprintf('\nExperiment end: %s\n', datestr(now, logDateFormat)); out.expTotDurTime = toc(out.expStartTime); fprintf('Total time: %02.0f:%02.0f\n', out.expTotDurTime / 60, mod(out.expTotDurTime, 60)); mtrainerAnalyser_performance(out.respTypes, 2, out.savePath, out.nInTriLick); catch err fprintf('\n\nAn error occured. Last trial: %1.0f. Cleaning up ...\n\n', iTrial) rethrow(err); end %% Function - giveReward function giveReward(s2, rewDur, rewDelay) t_rewardStart = tic; % wait until for start delay while toc(t_rewardStart) < rewDelay; end; t_rewardStart = tic; % open digital out s2.outputSingleScan(0); % wait until for open duration while toc(t_rewardStart) < rewDur; end; % close digital out s2.outputSingleScan(1); end function recordAndStop(src, event, lickThresh) recordedValues = stopWhenExceedThreshold(src, event, lickThresh); end function closeDiaryAndSaveOutput(savePath, lh, s1, s2) fprintf('\nClosing diary... '); diary off; fprintf('done.\n'); if (exist('out', 'var')); matFileName = sprintf('%s_out.mat', savePath); fprintf('Saving output as %s... ', matFileName); save(matFileName, 'out'); fprintf('done.\n'); else fprintf('/!\\ Output not saved\n'); end; fprintf('Closing channels... '); if exist('lh', 'var'); delete(lh); end; if exist('s1', 'var'); delete(s1); end; if exist('s2', 'var'); delete(s2); end; fprintf('done.\n'); end end
github
HelmchenLabSoftware/OCIA-master
mtrainerAnalyser_performance.m
.m
OCIA-master/behavior/mtrainer/mtrainerAnalyser_performance.m
8,824
utf_8
7c3efc292a98890cdd2df684966b8536
%% Function - mtrainerAnalyser_performance function mtrainerAnalyser_performance(varargin) if nargin >= 1; % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early respTypes = varargin{1}; doSavePlots = 0; savePath = ''; end; if nargin >= 2; doSavePlots = varargin{2}; savePath = 'perf.png'; end; if nargin >= 3; savePath = varargin{3}; end; if nargin == 4; nIntrLick = varargin{4}; end; if nargin < 1 || nargin > 4; error('mtrainerAnalyser_performance:WrongArgumentNumberException', ... ['Number of arguments should be 1 ', ... '(responseTypeVector), 2 (responseTypeVector, doSavePlots) ', ... 'or 3 (responseTypeVector, doSavePlots, savePath) (or 4 with nIntrLick)', ... 'Please see the help for this function.']); end; counts_all = mtrainerAnalyzer_getCounts(respTypes); % print out a 'nicely' formatted table % 'fprintf' patterns for the content of the headers and the cells n = '3'; % number of digits to display for number np = '3'; % number of digits to display for percents headerPattern = [' (%0' n 'd|%0' np '.f%%) ']; cellPattern = ['%0' n 'd (%0' np '.0f%%) ']; fprintf(['Performance: d'' = %.3f, early: %0' n 'd/%0' n 'd (%0' np '.f%%), ' ... 'correctness: %0' np '.f%%\n'], counts_all.DPRIME, counts_all.EARLY, counts_all.TOT, ... counts_all.EARLYP, counts_all.CiP); if ~counts_all.NT; tableContent = cell(3, 2); else tableContent = cell(3, 3); end; % header line tableContent{1, 1} = sprintf([' VALID: %0' n 'd/%0' n 'd (%0' np '.f%%)'], ... counts_all.VTOT, counts_all.TOT, counts_all.VTOTP); tableContent{1, 2} = sprintf(['TARG.', headerPattern], counts_all.T, counts_all.TP); if counts_all.NT; tableContent{1, 3} = sprintf(['NON-TARG.', headerPattern], ... counts_all.NT, counts_all.NTP); end; % GO line tableContent{2, 1} = sprintf([' GO ', headerPattern], counts_all.GO, counts_all.GOP); tableContent{2, 2} = sprintf(cellPattern, counts_all.TGO, counts_all.TGOP); if counts_all.NT; tableContent{2, 3} = sprintf(cellPattern, counts_all.NTGO, counts_all.NTGOP); end; % NO-GO line tableContent{3, 1} = sprintf([' NO-GO ', headerPattern], counts_all.NGO, counts_all.NGOP); tableContent{3, 2} = sprintf(cellPattern, counts_all.TNGO, counts_all.TNGOP); if counts_all.NT; tableContent{3, 3} = sprintf(cellPattern, counts_all.NTNGO, counts_all.NTNGOP); end; tprintf(23, tableContent); fprintf('(Percentages of the table are relative to valid trials (non-early))\n'); if doSavePlots < 1; return; end; saveName = strrep(regexp(savePath, '\\[\d_]+$', 'match'), '\', ''); if numel(saveName); saveName = ['Perf - ' saveName{1}]; else saveName = 'Perf'; end; fprintf('Plotting... (doSavePlots: %d)\n', doSavePlots); figure('Name', saveName, 'NumberTitle', 'off', 'MenuBar', 'none', 'WindowStyle', 'docked'); title(strrep(saveName, '_', '\_')); % Valid trials subplot(3, 2, 1); bar(1, counts_all.EARLY, 1, 'FaceColor', [0.3 0.3 0.3]); hold on; bar(2, counts_all.VTOT, 1, 'FaceColor', [0 1 0]); text(1.3, - max(ylim) / 10, sprintf('Early (%3.f%%)', counts_all.EARLYP), ... 'horizontalalignment', 'right', 'FontSize', 10); text(2.3, - max(ylim) / 10, sprintf('Valid (%3.f%%)', counts_all.VTOTP), ... 'horizontalalignment', 'right', 'FontSize', 10); set(gca, 'XTickLabel', ''); title(sprintf('Early versus valid trials (%d trials)', counts_all.TOT)); % ylim([0 counts_all.TOT * 1.01]); ylim([0 max(counts_all.EARLY, counts_all.VTOT) * 1.2]); ylabel('Number of Trials'); % Correct vs false subplot(3, 2, 2); bar(1, counts_all.C, 1, 'FaceColor', [0 1 0]); hold on; bar(2, counts_all.F, 1, 'FaceColor', [1 0 0]); text(1.4, - max(ylim) / 10, sprintf('Correct (%3.f%%)', counts_all.CP), ... 'horizontalalignment', 'right', 'FontSize', 10); text(2.4, - max(ylim) / 10, sprintf('Wrong (%3.f%%)', counts_all.FP), ... 'horizontalalignment', 'right', 'FontSize', 10); set(gca, 'XTickLabel', ''); title(sprintf('Correct versus wrong trials (%d valid trials)', counts_all.VTOT)); ylim([0 max(counts_all.C, counts_all.F) * 1.2]); % ylim([0 counts_all.TOT * 1.01]); ylabel('Number of Trials'); TGOovTimeP = zeros(1, counts_all.TOT); NTNGOovTimeP = zeros(1, counts_all.TOT); NTGOovTimeP = zeros(1, counts_all.TOT); TNGOovTimeP = zeros(1, counts_all.TOT); EARLYovTimeP = zeros(1, counts_all.TOT); % binWidth = -1; % cumulative binWidth = fix(counts_all.TOT * 0.1); % binning % binWidth = 3; % binning for i = 1 : counts_all.TOT; % for i = 1 : binWidth : counts_all.TOT; if binWidth ~= -1; % iStart = max(i - 0.5 * (binWidth - 1), 1); % iEnd = min(i + 0.5 * (binWidth - 1), counts_all.TOT); iStart = max(i - binWidth, 1); iEnd = min(i + binWidth, counts_all.TOT); TGOovTimeP(i) = (sum(respTypes(iStart : iEnd) == 1) / (iEnd - iStart)) * 100; NTNGOovTimeP(i) = (sum(respTypes(iStart : iEnd) == 2) / (iEnd - iStart)) * 100; NTGOovTimeP(i) = (sum(respTypes(iStart : iEnd) == 3) / (iEnd - iStart)) * 100; TNGOovTimeP(i) = (sum(respTypes(iStart : iEnd) == 4) / (iEnd - iStart)) * 100; EARLYovTimeP(i) = (sum(respTypes(iStart : iEnd) == 5) / (iEnd - iStart)) * 100; else TGOovTimeP(i) = sum(respTypes(1 : i) == 1) / i * 100; NTNGOovTimeP(i) = sum(respTypes(1 : i) == 2) / i * 100; NTGOovTimeP(i) = sum(respTypes(1 : i) == 3) / i * 100; TNGOovTimeP(i) = sum(respTypes(1 : i) == 4) / i * 100; EARLYovTimeP(i) = sum(respTypes(1 : i) == 5) / i * 100; end; end; pause(0.05); subplot(3, 2, 3); percents = [TGOovTimeP; NTNGOovTimeP; NTGOovTimeP; ... TNGOovTimeP; EARLYovTimeP]; bar(percents', 1, 'stacked', 'EdgeColor', 'none'); % bar(percents', binWidth, 'stacked', 'EdgeColor', 'none'); hold off; title('Percent of trials types over time'); ylim([0 100]); xlim([1 counts_all.TOT]); ylabel('% Trials'); xlabel('Trials'); % legHand = legend({'Corr. det.', 'Corr. rej.', 'False alarm', 'Miss', 'Early'}, 'Location', 'EastOutside', ... % 'FontSize', 12, 'Orientation', 'vertical'); DPRIMEovTimeP = zeros(1, counts_all.TOT); % binWidth = -1; % cumulative binWidth = fix(counts_all.TOT * 0.1); % binning % binWidth = 5; % binning for i = 1 : counts_all.TOT; % for i = 1 : binWidth : counts_all.TOT; if binWidth ~= -1; % iStart = max(i - 0.5 * (binWidth - 1), 1); % iEnd = min(i + 0.5 * (binWidth - 1), counts_all.TOT); iStart = max(i - binWidth, 1); iEnd = min(i + binWidth, counts_all.TOT); counts_till_i = mtrainerAnalyzer_getCounts(respTypes(iStart : iEnd)); DPRIMEovTimeP(i) = dprime(counts_till_i.TGO ./ counts_till_i.T, ... counts_till_i.NTGO ./ counts_till_i.NT, counts_till_i.T, counts_till_i.NT); else counts_till_i = mtrainerAnalyzer_getCounts(respTypes(1 : i)); DPRIMEovTimeP(i) = dprime(counts_till_i.TGO ./ counts_till_i.T, ... counts_till_i.NTGO ./ counts_till_i.NT, counts_till_i.T, counts_till_i.NT); end; end; subplot(3, 2, 4); plot(1 : counts_all.TOT, DPRIMEovTimeP); title('d'' over time'); % ylim([0 100]); xlim([1 counts_all.TOT]); ylabel('d'''); xlabel('Trials'); % legHand = legend({'Corr. det.', 'Corr. rej.', 'False alarm', 'Miss', 'Early'}, 'Location', 'EastOutside', ... % 'FontSize', 12, 'Orientation', 'vertical'); subplot(3, 2, 5); plot(1 : counts_all.TOT, TGOovTimeP + NTGOovTimeP + EARLYovTimeP); title('Responsiveness'); ylim([0 100]); xlim([1 counts_all.TOT]); ylabel('% of GO'); xlabel('Trials'); if exist('nIntrLick', 'var'); subplot(3, 2, 6); plot(1 : numel(nIntrLick), nIntrLick); title('Number of inter-trial licking'); % ylim([0 100]); xlim([1 numel(nIntrLick)]); ylabel('Number of lick'); xlabel('Trials'); end; pause(0.05); % makePrettyFigure(gcf); % set(legHand, 'FontSize', 12); if doSavePlots < 2; return; end; fprintf('Saving... (doSavePlots: %d)\n', doSavePlots); saveas(gcf, [savePath '_perf.png']); saveas(gcf, [savePath '_perf.fig']); end
github
HelmchenLabSoftware/OCIA-master
mtrainerAnalyser_loadAllFromFolder.m
.m
OCIA-master/behavior/mtrainer/mtrainerAnalyser_loadAllFromFolder.m
11,698
utf_8
f65b08bd16909d18e68a76b009bf88ee
%% Function - mtrainerAnalyser_loadAllFromFolder function outAll = mtrainerAnalyser_loadAllFromFolder(folderPath, skipIncomplete, doMakeConsistent, ... doRemoveUnresponsive, doSavePlots) %% Initialize variables dbgLevel = 4; % output structure for all data in the requested folder outAll = struct(); % fields that need to be gathered toGatherFields = { 'respTypes', 'nInTriLick', 'datesAsNum', 'taskTypes', ... 'nFreqs', 'nTones', 'freqs', 'goFreq' ... }; % initialize the structure with these fields for iField = 1 : numel(toGatherFields); outAll.(toGatherFields{iField}) = []; end; % remodelling of the saved out structrures toRemoveField = { ... 'trialEnds_obs' 'trialStarts_obs' 'trialStarts_sched' }; %#ok<NASGU> toRenameField = { ... %#ok<NASGU> % 'responseTypeVector', 'respTypes'; % 'responseTimeVector', 'respTimes'; % 'trial', 'iTrial'; % 'trialEndVector_observed', 'trialEnds_obs'; % 'trialStartVector_observed', 'trialStarts_obs'; % 'trialStartVector_scheduled', 'trialStarts_sched'; 'trialEndsTimes', 'trialEndTimes'; 'respDelay', 'respDelays'; }; %#ok<NASGU> requiredFields = { ... %#ok<NASGU> 'mouseId', 'MOUSE_ID'; 'taskType', 'TASK_TYPE'; 'phase', '?'; 'basePath', '?'; 'config', struct(); 'stims', []; 'odds', []; 'oddPos', []; 'isOdd', []; 'savePath', '?'; 'saveTime', 'SAVE_TIME'; % 'trialStarts_sched', []; % 'trialStarts_obs', []; % 'trialEnds_obs', []; 'respTimes', []; 'nInTriLick', []; 'resps', []; 'respDelays', []; 'respTypes', []; 'expStartTime', -1; 'expTotDurTime', -1; }; %#ok<NASGU> %% Gather mat-files and loop through them matFiles = dir([folderPath '/*.mat']); o('#mtrainerAnalyser_loadAllFromFolder: processing %d mat-file(s) in folder "%s" ...', ... numel(matFiles), folderPath, 1, dbgLevel); nValidMatFiles = 0; for iExp = 1 : numel(matFiles); % get the full path and load the mat-file fullPath = sprintf('%s/%s', folderPath, matFiles(iExp).name); mat = load(fullPath); mouseId = matFiles(iExp).name(1:9); %#ok<NASGU> saveTime = matFiles(iExp).name(12:31); %#ok<NASGU> % check for the presence of the 'out' struct inside, otherwise create it if ~isfield(mat, 'out'); out = mat; save(fullPath, 'out'); else out = mat.out; end; % extract the task type, the number of tones/frequencies used from the logFile out = parseLogFile(out, fullPath, iExp, dbgLevel); % remodelling of the out.mat file: change names, delete useless fields, etc. if doMakeConsistent; out = makeConsistent(out, fullPath, iExp, toRemoveField, toRenameField, requiredFields, dbgLevel); %#ok<UNRCH> end; % skip problematic vectors if ~isfield(out, 'respTypes'); o(' #mtrain...FromFolder: %d: %s has no ''respTypes'' field.', ... iExp, matFiles(iExp).name, 2, dbgLevel); continue; elseif skipIncomplete && any(out.respTypes == 0); o(' #mtrain...FromFolder: %d: %s has an incomplete ''respTypes''.', ... iExp, matFiles(iExp).name, 2, dbgLevel); continue; else o(' #mtrain...FromFolder: %d: %s is valid.', iExp, matFiles(iExp).name, 2, dbgLevel); nValidMatFiles = nValidMatFiles + 1; end; % remodelling of the out.mat file: removing long non responsive parts if doRemoveUnresponsive; outOri = out; [out, unResps] = removeUnresponsive(out, iExp, dbgLevel); %#ok<UNRCH> end; dateAsStr = matFiles(iExp).name(12:31); if doSavePlots; mtrainerAnalyser_performance(outOri.respTypes, 1, ['\01_' dateAsStr], outOri.nInTriLick); mtrainerAnalyser_performance(out.respTypes, 1, ['\02_' dateAsStr], out.nInTriLick); end; dateAsNum = datenum(dateAsStr, 'yyyy_mm_dd__HH_MM_SS'); nTrials = numel(out.respTypes); outAll.respTypes = [outAll.respTypes out.respTypes]; outAll.nInTriLick = [outAll.nInTriLick out.nInTriLick]; outAll.freqs = [outAll.freqs out.config.tone.freqs(out.stims)]; outAll.datesAsNum = [outAll.datesAsNum repmat(dateAsNum, 1, nTrials)]; outAll.taskTypes = [outAll.taskTypes repmat(sum(out.taskType), 1, nTrials)]; outAll.nFreqs = [outAll.nFreqs repmat(numel(out.config.tone.freqs), 1, nTrials)]; outAll.nTones = [outAll.nTones repmat(out.config.tone.nTones, 1, nTrials)]; outAll.goFreq = [outAll.goFreq repmat(out.config.tone.freqs(out.config.tone.goStim), ... 1, nTrials)]; if numel(outAll.respTypes) ~= numel(outAll.nInTriLick); o(' #mtrain...FromFolder: %d: %s problem!', iExp, matFiles(iExp).name, 0, dbgLevel); end; end; nDays = numel(unique(cellstr(datestr(outAll.datesAsNum, 'yyyymmdd')))); o('#mtrain...FromFolder: found %d/%d valid file(s), %d trial(s) in %d unique day(s).', ... nValidMatFiles, numel(matFiles), numel(outAll.respTypes), nDays, 1, dbgLevel); end function out = parseLogFile(out, fullPath, iExp, dbgLevel) % try the taskType first in the out file if isfield(out, 'taskType') && ~strcmp(out.taskType, '?') && ~strcmp(out.taskType, 'UNKNOWN') ... && isfield(out.config, 'tone') && isfield(out.config.tone, 'nTones'); taskType = out.taskType; o(' #mtrain...FromFolder: %d: checking for taskType, taskType present: "%s"...', ... iExp, taskType, 3, dbgLevel); else taskType = '?'; % extract taskType o(' #mtrain...FromFolder: %d: checking for taskType, so far unset ("%s")...', ... iExp, taskType, 3, dbgLevel); fid = fopen(strrep(fullPath, '_out.mat', '_log.txt')); line = fgetl(fid); while ischar(line); m = regexp(line, '(?<nFreqs>\d+)F(?<nTones>\d+)T', 'names'); if ~isempty(m); nFreqs = str2double(m.nFreqs); nTones = str2double(m.nTones); if nFreqs == 1 && nTones > 1; taskType = 'oddballDiscrimination'; elseif nFreqs == 2 && nTones > 1; taskType = 'oddballDiscrimination'; elseif nFreqs > 1 && nTones == 1; taskType = 'freqDiscrimination'; elseif nFreqs == 1 && nTones == 1; taskType = 'basic'; else taskType = 'UNKNOWN'; end; o(' #mtrain...FromFolder: %d: MATCH: nFreqs = %d, nTones = %d, taskType = "%s".', ... iExp, nFreqs, nTones, taskType, 3, dbgLevel); out.taskType = taskType; if ~isfield(out.config, 'tone'); out.config.tone = struct(); end; out.config.tone.nTones = nTones; if ~isfield(out.config.tone, 'freqs'); if nFreqs == 1; out.config.tone.freqs = 12000; elseif nFreqs == 2; out.config.tone.freqs = [7000, 12000]; elseif nFreqs == 4; out.config.tone.freqs = [5000, 7000, 12000, 15000]; else out.config.freqs = repmat(-1, 1, nFreqs); end; end; save(fullPath, 'out'); break; end; line = fgetl(fid); end fclose(fid); end; if strcmp(out.taskType, '?'); o(' #mtrain...FromFolder: %d: task type not found ("%s")...', ... iExp', out.taskType, 1, dbgLevel); end; end function out = makeConsistent(out, fullPath, iExp, toRemoveField, toRenameField, requiredFields, dbgLevel) if exist('toRemoveField', 'var'); nFields = 0; for iField = 1 : size(toRemoveField, 1); if isfield(out, toRemoveField{iField}); out = rmfield(out, toRemoveField{iField}); nFields = nFields + 1; end; end; if nFields; save(fullPath, 'out'); o(' #mtrain...FromFolder: %d: removed %d field(s).', iExp, nFields, 3, dbgLevel); end; end; if exist('toRenameField', 'var'); nFields = 0; for iField = 1 : size(toRenameField, 1); if isfield(out, toRenameField{iField, 1}); out.(toRenameField{iField, 2}) = out.(toRenameField{iField, 1}); out = rmfield(out, toRenameField{iField, 1}); nFields = nFields + 1; end; end; if nFields; o(' #mtrain...FromFolder: %d: renamed %d field(s).', iExp, nFields, 3, dbgLevel); save(fullPath, 'out'); end; end; if exist('requiredFields', 'var'); nFields = 0; for iField = 1 : size(requiredFields, 1); if ~isfield(out, requiredFields{iField, 1}); if exist(requiredFields{iField, 1}, 'var'); eval(['out.(requiredFields{iField, 1}) = ' requiredFields{iField, 1} ';']); else out.(requiredFields{iField, 1}) = requiredFields{iField, 2}; end; nFields = nFields + 1; end; end; if nFields; o(' #mtrain...FromFolder: %d: created %d required fields.', iExp, nFields, 3, dbgLevel); save(fullPath, 'out'); end; end; end function [out, unResps] = removeUnresponsive(out, iExp, dbgLevel) o(' #mtrain...FromFolder: %d: removing unresponsive trials ...', iExp, 3, dbgLevel); unrespSeriesIndexes = []; unResps = cell(1); minUnrespLength = 15; % minimum number of consecutive unresponsive trials toKeepIndexes = true(size(out.resps)); toKeepIndexes(isnan(out.resps)) = false; fieldNames = { 'stims', 'odds', 'oddPos', 'isOdd', 'trialStartDelays', 'trialStartTimes', 'trialEndTimes', ... 'respTimes', 'nInTriLick', 'resps', 'respDelays', 'respTypes' }; % remove NaNs for iField = 1 : numel(fieldNames); if numel(out.(fieldNames{iField})) < max(toKeepIndexes); o(' #mtrain...FromFolder: %d: problem with field "%s"...', iExp, fieldNames{iField}, ... 3, dbgLevel); continue; end; out.(fieldNames{iField}) = out.(fieldNames{iField})(toKeepIndexes); end; % separate the trials by unresponsive 'bins'/'blobs' CC = bwconncomp(~out.resps); % go through each bin of unresponsive consecutive trials for iBin = 1 : numel(CC.PixelIdxList); indexList = CC.PixelIdxList{iBin}'; % extract the list of indexes % if the bin is long enough and contains at least one 'correct rejection' and one 'miss' ... if numel(indexList) >= minUnrespLength && any(out.respTypes(indexList) == 2) && any(out.respTypes(indexList) == 4); % then we can consider it as unresponsive and gather the indexes unrespSeriesIndexes = [unrespSeriesIndexes indexList]; %#ok<AGROW> unResps{end + 1} = indexList; %#ok<AGROW> end; end; toKeepIndexes = true(size(out.resps)); toKeepIndexes(unrespSeriesIndexes) = false; for iField = 1 : numel(fieldNames); if numel(out.(fieldNames{iField})) < max(toKeepIndexes); o(' #mtrain...FromFolder: %d: problem with field "%s"...', iExp, fieldNames{iField}, ... 3, dbgLevel); continue; end; out.(fieldNames{iField}) = out.(fieldNames{iField})(toKeepIndexes); end; end
github
HelmchenLabSoftware/OCIA-master
mtrainerAnalyser_pooledPerformance.m
.m
OCIA-master/behavior/mtrainer/mtrainerAnalyser_pooledPerformance.m
13,056
utf_8
b60d5cf1801f259ba926464fd19f619c
%% Function - mtrainerAnalyser_pooledPerformance function mtrainerAnalyser_pooledPerformance(outAll, titleStr) dbgLevel = 2; uniqueDays = unique(cellstr(datestr(outAll.datesAsNum, 'yyyymmdd'))); nDays = numel(uniqueDays); o('#mtrain...pooledPerf: %d trial(s) in %d day(s).', numel(outAll.respTypes), nDays, 1, dbgLevel); runs = unique(cellstr(datestr(outAll.datesAsNum, 'yyyymmdd_HHMMSS'))); nextSessThreshIndiv = 0.08; % pool data with morning and afternoon sessions separately % nextSessThreshIndiv = 0.0005; % pool data with each run (100 trials) separately nextSessThreshDaily = 0.35; % pool data daily [~, sessionIndexesIndiv, nTrialsPerSessIndiv] = separateIntoSessions(outAll, runs, ... nextSessThreshIndiv, dbgLevel); [runs, sessionIndexesDaily, nTrialsPerSessDaily] = separateIntoSessions(outAll, runs, ... nextSessThreshDaily, dbgLevel); %#ok<ASGLU> sessionIndexes = sessionIndexesDaily; nTrialsPerSess = nTrialsPerSessDaily; nSessionIndiv = max(sessionIndexesIndiv); nSessionDaily = max(sessionIndexesDaily); nSession = nSessionDaily; o('#mtrain...pooledPerf: found %d daily session(s) and %d individual session(s).', ... nSessionDaily, nSessionIndiv, 2, dbgLevel); o('#mtrain...pooledPerf: mean nTrials per day: %03.0f, per indiv session: %03.0f.', ... mean(nTrialsPerSessDaily), mean(nTrialsPerSessIndiv), 2, dbgLevel); figName = titleStr; figName = strrep(figName, '\_', '_'); figName = strrep(figName, '''', ''); figName = strrep(figName, ' ', ''); figHand = figure('NumberTitle', 'off', 'WindowStyle', 'docked', 'Name', figName); hitRate = zeros(1, nSession); % correct detection, CR+, hitRate hitRateError = zeros(1, nSession); % correct detection, CR+, hitRate errors falsePosRate = zeros(1, nSession); % false alarm, CR-, false positive falsePosRateError = zeros(1, nSession);% false alarm, CR-, false positive errors dprimes = zeros(1, nSession); % d prime dprimesError = zeros(1, nSession); % d prime errors useSEM = 1; iBinAll = 1; prevNFreqs = 0; prevNTones = 0; dprimeMaxVal = 3.5; dprimeMinVal = -2; changeOfFreqOrToneNum = zeros(1, nSession); for iSess = 1 : nSession; % extract the current session's number of frequency and number of tones nFreqs = outAll.nFreqs(sessionIndexes == iSess); nTones = outAll.nTones(sessionIndexes == iSess); if ~numel(nFreqs); continue; end; nFreqs = nFreqs(1); nTones = nTones(1); % skip basic sessions % if nFreqs == 1 && nTones == 1; % hitRate(iBinAll) = NaN; % falsePosRate(iBinAll) = NaN; % dprimes(iBinAll) = NaN; % iBinAll = iBinAll + 1; % continue; % end; % if there is a change in the number of frequencies or tones, mark it if prevNFreqs ~= 0 && (nFreqs ~= prevNFreqs || nTones ~= prevNTones); changeOfFreqOrToneNum(iSess) = iSess - 1; end; % store for next iteration prevNFreqs = nFreqs; prevNTones = nTones; % extract the respTypes for this session % for each trial, 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early sessionRespTypes = outAll.respTypes(sessionIndexes == iSess); sessInDay = sessionIndexesIndiv(sessionIndexes == iSess); sessStart = min(sessInDay); sessEnd = max(sessInDay); dPrimesIndivSess = zeros(1, sessEnd - sessStart + 1); hitRatesIndivSess = zeros(1, sessEnd - sessStart + 1); falsePosIndivSess = zeros(1, sessEnd - sessStart + 1); for iSessIndiv = sessStart : sessEnd; indivSessionRespTypes = outAll.respTypes(sessionIndexesIndiv == iSessIndiv); countsForIndivSession = mtrainerAnalyzer_getCounts(indivSessionRespTypes); if isnan(countsForIndivSession.DPRIME); countsForIndivSession.DPRIME = 0; end; dPrimesIndivSess(iSessIndiv - sessStart + 1) = countsForIndivSession.DPRIME; hitRatesIndivSess(iSessIndiv - sessStart + 1) = ... 100 * countsForIndivSession.TGO / countsForIndivSession.T; falsePosIndivSess(iSessIndiv - sessStart + 1) = ... 100 * countsForIndivSession.NTGO / countsForIndivSession.NT; end; if useSEM; dprimesError(iBinAll) = sem(dPrimesIndivSess); %%#ok<UNRCH> hitRateError(iBinAll) = sem(hitRatesIndivSess); falsePosRateError(iBinAll) = sem(falsePosIndivSess); else dprimesError(iBinAll) = std(dPrimesIndivSess); %#ok<UNRCH> hitRateError(iBinAll) = std(hitRatesIndivSess); falsePosRateError(iBinAll) = std(falsePosIndivSess); end; % make an overall counting for the session countsForSession = mtrainerAnalyzer_getCounts(sessionRespTypes); o(' #mtrain...pooledPerf: session %d, taskType: "%s".', iSess, ... sprintf('%F%T', nFreqs, nTones), 3, dbgLevel); hitRate(iBinAll) = 100 * countsForSession.TGO / countsForSession.T; falsePosRate(iBinAll) = 100 * countsForSession.NTGO / countsForSession.NT; if isnan(countsForSession.DPRIME); countsForSession.DPRIME = 0; end; % restrict the dprime value between dprimeMaxVal and dprimeMinVal countsForSession.DPRIME = min(dprimeMaxVal, countsForSession.DPRIME); countsForSession.DPRIME = max(dprimeMinVal, countsForSession.DPRIME); dprimes(iBinAll) = countsForSession.DPRIME; o(' #mtrain...pooledPerf: session %d, HitRate: %04.1f, FalsePosRate = %04.1f, d'' = %.2f.', ... iSess, hitRate(iBinAll), falsePosRate(iBinAll), dprimes(iBinAll), 3, dbgLevel); iBinAll = iBinAll + 1; % % binWidth = 100; % % % calculate number of bins, make sure that there is at least one % nBins = max(round(countsForSession.TOT / binWidth), 1); % for iBin = 1 : nBins; % iStart = (iBin - 1) * binWidth + 1; % for binWidth = 10: 1, 11, 21, etc. % iEnd = min(iBin * binWidth, countsForSession.TOT); % for binWidth = 10: 10, 20, 30, etc. % countsForBin = mtrainerAnalyzer_getCounts(sessionRespTypes(iStart : iEnd)); % % if countsForBin.GOP < 50; % trialIndex = find(sessionIndexes == iSess); % trialIndex = trialIndex(1) + iBin * binWidth; % runsForSession = runs(cell2mat(runs(:, 2)) == iSess); % iRun = 1; % while iRun < numel(runsForSession); % if sum(nTrialsPerSess % end; % o(' #mtrain...pooledPerf: session %d, %s, bin %d (trial %.0f) has a GOP of %.2f.', ... % iSess, runsForSession{1}, iBin, trialIndex, countsForBin.GOP, 3, dbgLevel); % hitRate(iBinAll) = NaN; % falsePosRate(iBinAll) = NaN; % dprimes(iBinAll) = NaN; % iBinAll = iBinAll + 1; % continue; % end; % % hitRate(iBinAll) = 100 * countsForBin.TGO / countsForBin.T; % falsePosRate(iBinAll) = 100 * countsForBin.NTGO / countsForBin.NT; % if isnan(countsForBin.DPRIME) || isinf(countsForBin.DPRIME); % countsForBin.DPRIME = 0; % end; % % % restrict the dprime value between +dprimeMaxVal and -dprimeMaxVal % countsForBin.DPRIME = min(dprimeMaxVal, countsForBin.DPRIME); % countsForBin.DPRIME = max(-dprimeMaxVal, countsForBin.DPRIME); % % dprimes(iBinAll) = countsForBin.DPRIME; % iBinAll = iBinAll + 1; % end; end; nTotBins = iBinAll - 1; % TGOsHand = plot(hitRate, '-sg', 'MarkerFaceColor', 'green'); TGOsErrHand = errorbar(1 : nSession, hitRate, hitRateError, '-sg', 'MarkerFaceColor', 'green'); removeErrorBarEnds(TGOsErrHand); hold all; hitRateAxes = gca; % NTNGOsHand = plot(falsePosRate, '-sr', 'MarkerFaceColor', 'red'); NTNGOsErrHand = errorbar((1 : nSession) + 0.15, falsePosRate, falsePosRateError, '-sr', 'MarkerFaceColor', 'red'); removeErrorBarEnds(NTNGOsErrHand); set(hitRateAxes, 'ylim', [0 110], 'YTick', 0 : 10 : 110, 'YTickLabel', 0 : 10 : 110); if useSEM; ylabel('% of Trials \pm SEM'); %%#ok<UNRCH> else ylabel('% of Trials \pm SD'); %#ok<UNRCH> end; vertLineHandles = zeros(1, sum(changeOfFreqOrToneNum > 0)); vertLineTextHandles = zeros(2, sum(changeOfFreqOrToneNum > 0)); iLineHandle = 1; for iChange = 1 : numel(changeOfFreqOrToneNum); if ~changeOfFreqOrToneNum(iChange); continue; end; changeX = changeOfFreqOrToneNum(iChange) + 0.5; nFreqs1 = outAll.nFreqs(sessionIndexes == changeOfFreqOrToneNum(iChange)); nFreqs1 = nFreqs1(1); nFreqs2 = outAll.nFreqs(sessionIndexes ==changeOfFreqOrToneNum(iChange) + 1); nFreqs2 = nFreqs2(1); if mod(iChange, 2) == 0; changeY = 9; else changeY = 12; end; vertLineTextHandles(1, iLineHandle) = text(changeX, changeY, ... sprintf('%d freq \\leftarrow ', nFreqs1), 'HorizontalAlignment', 'right'); vertLineTextHandles(2, iLineHandle) = text(changeX, changeY, sprintf(' \\rightarrow %d freq', nFreqs2)); vertLineHandles(iLineHandle) = line([changeX changeX], [0 100], ... 'LineStyle', ':', 'Color', 'black'); iLineHandle = iLineHandle + 1; end; xlimits = [0 nTotBins * 1.05]; xlim(xlimits); set(hitRateAxes, 'XTick', [], 'XTickLabel', []); xTickAxes = axes('Position', get(gca, 'Position'), ... 'YAxisLocation', 'right', 'XAxisLocation', 'bottom', 'Color', 'none'); sessionLabels = cellstr(datestr(outAll.datesAsNum([diff(sessionIndexes) > 0, true]), 'dd/mm')); set(xTickAxes, 'xlim', xlimits, ... 'XTick', 1 : nSession, 'XTickLabel', sessionLabels(1 : nSession)); % set(xTickAxes, 'xlim', xlimits, ... % 'XTick', 0 : 10 : nTotBins, 'XTickLabel', (0 : 10 : nTotBins) * binWidth); set(xTickAxes, 'YTick', [], 'YTickLabel', []); xlabel('Sessions'); dprimeAxes = axes('Position', get(gca, 'Position'), ... 'YAxisLocation', 'right', 'XAxisLocation', 'top', 'Color', 'none'); hold all; % dprimesHand = plot(dprimes, '-sb', 'MarkerFaceColor', 'blue'); dprimesErrHand = errorbar((1 : nSession) + 0.3, dprimes, dprimesError, '-sb', 'MarkerFaceColor', 'blue'); removeErrorBarEnds(dprimesErrHand); set(dprimeAxes, 'ylim', [dprimeMinVal dprimeMaxVal], 'YTick', dprimeMinVal : 0.5 : dprimeMaxVal, ... 'YTickLabel', dprimeMinVal : 0.5 : dprimeMaxVal); set(dprimeAxes, 'XTick', [], 'XTickLabel', []); xlim(xlimits); if useSEM; ylabel('d'' value \pm SEM'); %%#ok<UNRCH> else ylabel('d'' value \pm SD'); %#ok<UNRCH> end; legend([TGOsErrHand, NTNGOsErrHand, dprimesErrHand], {'HitRate', 'FalsePos', 'd'''}, ... 'Location', 'NorthWest'); % legend([TGOsHand, NTNGOsHand, dprimesHand], {'HitRate', 'FalsePos', 'd'''}, ... % 'Location', 'NorthWest'); title(sprintf('%s \\fontsize{10} [Total number of trials = %.0f, mean trials per session = %.0f]', ... titleStr, sum(nTrialsPerSess), mean(nTrialsPerSess))); hold off; makePrettyFigure(figHand); set(xTickAxes, 'FontSize', 9); for iLineHandle = 1 : numel(vertLineHandles); set(vertLineHandles(iLineHandle), 'LineWidth', 0.5); set(vertLineTextHandles(1, iLineHandle), 'FontSize', 10); set(vertLineTextHandles(2, iLineHandle), 'FontSize', 10); end; end function [runs, sessionIndexes, nTrialsPerSess] = separateIntoSessions(outAll, runs, nextSessThresh, dbgLevel) sessionIndexes = zeros(1, numel(outAll.respTypes)); nTrialsPerSess = zeros(1, 1); iRun = 1; iSess = 1; % loop trough all runs while iRun <= size(runs, 1); % current run's date as number dateAsNum = datenum(runs{iRun, 1}, 'yyyymmdd_HHMMSS'); o(' #mtrain...pooledPerf: run %d, date: %s (%8.3f).', iRun, runs{iRun, 1}, dateAsNum, 3, dbgLevel); % for all runs before the last, check with next run if iRun < size(runs, 1); dateAsNumNext = datenum(runs{iRun + 1, 1}, 'yyyymmdd_HHMMSS'); else % for last run, make the difference big enough dateAsNumNext = dateAsNum + 100 * nextSessThresh; end; runs{iRun, 2} = iSess; o(' #mtrain...pooledPerf: run %d''s session: %d, dateAsNumNext: %8.3f, diff: %.2f, thresh: %.2f.', ... iRun, iSess, dateAsNumNext, abs(dateAsNum - dateAsNumNext), nextSessThresh, 3, dbgLevel); % if they are too different, next run is in a new session if abs(dateAsNum - dateAsNumNext) > nextSessThresh; % get all the respTypes for that session (earlier dates that are not yet assigned to a sessions) respTypesForSession = outAll.respTypes(outAll.datesAsNum <= dateAsNum & ~sessionIndexes); nTrials = numel(respTypesForSession); zeroIndex = find(~sessionIndexes); % get indexes where sessionIndex is still 0 sessionIndexes(zeroIndex(1) : zeroIndex(1) + nTrials - 1) = ones(1, nTrials) * iSess; nTrialsPerSess(iSess) = nTrials; o(' #mtrain...pooledPerf: run %d is the last of session %d, nTrials: %d, tagging from %d to %d.', ... iRun, iSess, nTrials, zeroIndex(1), zeroIndex(1) + nTrials - 1, 3, dbgLevel); iSess = iSess + 1; iRun = iRun + 1; else % otherwise if they are not too different, go on iRun = iRun + 1; end; end; end
github
HelmchenLabSoftware/OCIA-master
mtrainerAnalyser_freqAnalysis_bins.m
.m
OCIA-master/behavior/mtrainer/mtrainerAnalyser_freqAnalysis_bins.m
2,389
utf_8
e6cff6d257bc5bfe9d98519822f2e677
%% Function - mtrainerAnalyser_pooledPerformance function figHand = mtrainerAnalyser_freqAnalysis_bins(outAll, titleStr, binWidth) dbgLevel = 2; nFreqs = 5; % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early respTypes = outAll.respTypes(outAll.nFreqs == nFreqs); freqs = outAll.freqs(outAll.nFreqs == nFreqs); uniqueFreqs = unique(freqs); goFreq = unique(outAll.goFreq(outAll.nFreqs == nFreqs)); figHand = 0; if numel(goFreq) > 1; o('Oh-oh. Problem ! Multiple go freqs', 1, dbgLevel); return; end; nTrials = length(respTypes); % calculate number of bins, make sure that there is at least one nBins = max(round(nTrials / binWidth), 1); figName = titleStr; figName = strrep(figName, '\_', '_'); figName = strrep(figName, '''', ''); figName = strrep(figName, ' ', ''); figHand = figure('NumberTitle', 'off', 'WindowStyle', 'docked', 'Name', figName); % errors = nan(nFreqs, nBins); errors = nan(nFreqs - 1, nBins); for iBin = 1 : nBins; iStart = (iBin - 1) * binWidth + 1; % for binWidth = 10: 1, 11, 21, etc. iEnd = min(iBin * binWidth, nTrials); % for binWidth = 10: 10, 20, 30, etc. for iFreq = 1 : nFreqs; respTypesForFreq = respTypes(freqs(iStart : iEnd) == uniqueFreqs(iFreq)); o('Bin %d - freq %d, respTypes: %d', iBin, iFreq, numel(respTypesForFreq), 3, dbgLevel); if uniqueFreqs(iFreq) == goFreq; continue; % errors(iFreq, iBin) = 100 * sum(respTypesForFreq == 4) / numel(respTypesForFreq); else errors(iFreq, iBin) = 100 * sum(respTypesForFreq == 3) / numel(respTypesForFreq); end; end; end; errors = errors(setdiff(1 : nFreqs, find(uniqueFreqs == goFreq)), :); colors = lines(nFreqs - 1); % colors = lines(nFreqs); plotHandles = plot(errors', '-s'); for iHandle = 1 : numel(plotHandles); set(plotHandles(iHandle), 'Color', colors(iHandle, :), 'MarkerFaceColor', colors(iHandle, :)); end; % legend({'4kHz', '8kHz', '12kHz', '16kHz', '20kHz'}); legend({'4kHz', '8kHz', '16kHz', '20kHz'}); ylabel('Errors in %'); step = nBins / (nTrials / 500); set(gca, 'xlim', [0.8 nBins + 0.2], 'XTick', 1 : step : (nBins + 1), ... 'XTickLabel', 0 : 500 : ((nBins + 1) * binWidth)); % set(gca, 'YTick', [], 'YTickLabel', []); xlabel('Trials'); title(titleStr); makePrettyFigure(figHand); end
github
HelmchenLabSoftware/OCIA-master
mtrainer_oldversion_scheduledStarts.m
.m
OCIA-master/behavior/mtrainer/mtrainer_oldversion_scheduledStarts.m
16,949
utf_8
cb689fcefe86d96085f1a191049aa7cd
function mtrainer() % main function for mtrainer experiment suite % all times are in s! % written by Henry Luetcke ([email protected]) % 2013-05-07 % modified by Balazs Laurenczy ([email protected]) % 2013-05-15 doEmptyWater = 1; automode = 1; unsavedOut = struct(); mouseId = 'testing'; taskType = 'freqDiscrimination'; phase = 'D'; % mouseId = '130408_02'; taskType = 'freqDiscrimination'; phase = 'D'; % mouseId = '130416_01'; taskType = 'oddballDiscrimination'; phase = 'E'; % mouseId = '130425_01'; taskType = 'freqDiscrimination'; phase = 'B'; % mouseId = '130425_02'; taskType = 'oddballDiscrimination'; phase = 'C'; % mouseId = '130528_01'; taskType = 'oddballDiscrimination'; phase = 'B'; % mouseId = '130528_02'; taskType = 'oddballDiscrimination'; phase = 'B'; basePath = 'P:\matlab\daq\mtrainer\configs\'; configMat = load([basePath taskType filesep taskType '_phase' phase '.mat']); config = configMat.config; unsavedOut.mouseId = mouseId; unsavedOut.taskType = taskType; unsavedOut.phase = phase; unsavedOut.basePath = basePath; unsavedOut.config = config; %% Setup - stimuli and trials fprintf('Setup stimuli and trials... '); % set up stimulus vector stims = []; for iFreq = 1 : numel(config.tone.freqs) stimForFreq = repmat(iFreq, 1, round(config.tone.stimProba(iFreq) * config.tone.nTrials)); stims = [stims, stimForFreq]; %#ok<AGROW> end stims = stims(randperm(numel(stims))); clear stim; % set up oddball vector by altering stims with a certain probability odds = stims; oddPos = zeros(size(odds)); uniqueStims = unique(stims); isOdd = rand(1, numel(stims)) < config.tone.oddProba; uniqueOddPos = config.tone.nTones - 1 : config.tone.nTones; % last 2 tones can be odd for iStim = 1 : numel(isOdd); if isOdd(iStim); otherStims = uniqueStims(uniqueStims ~= stims(iStim)); otherStims = otherStims(randperm(numel(otherStims))); mixedOddPos = uniqueOddPos(randperm(numel(uniqueOddPos))); odds(iStim) = otherStims(1); oddPos(iStim) = mixedOddPos(1); end; end; % set up tone array toneArray = MakePureMultiToneOddballArray(config.tone.freqs, stims, odds, oddPos, ... config.tone.nTones, config.tone.toneDur, config.tone.ISI, config.tone.samplingFreq); unsavedOut.stims = stims; unsavedOut.odds = odds; unsavedOut.oddPos = oddPos; unsavedOut.isOdd = isOdd; fprintf('done.\n'); %% Setup - hardware % define globals global recordedValues; % analog input daqreset; fprintf('Connecting hardware...\n'); s1 = daq.createSession(config.hardware.adaptorID); s1.Rate = config.hardware.analogIn_SampleRate; s1.addAnalogInputChannel(config.hardware.analogIn_Device, config.hardware.analogIn_Channel, 'Voltage'); s1.Channels(1).InputType = config.hardware.analogIn_InputType; s1.Channels(1).Range = config.hardware.analogIn_Range; fprintf('s1 ok.\n'); s2 = daq.createSession(config.hardware.adaptorID); s2.addDigitalChannel(config.hardware.digitalOut_Device, config.hardware.digitalOut_PortLine, 'OutputOnly'); fprintf('And s2 ok. Ready to go.\n'); lickThresh = 0.18; % lickThresh = NaN; if isnan(lickThresh); % baseline measurement fprintf('Testing analog input for licking threshold (baseline)... '); recordDuration = 2; s1.DurationInSeconds = recordDuration; baseline = s1.startForeground; % this will block the command line meanData = mean(baseline); stdData = std(baseline); lickThresh = 2.5 * stdData; fprintf('done.\n') pause(1); % lick measurement fprintf('Testing analog input for licking threshold (licking)... '); s1.DurationInSeconds = recordDuration; lick = s1.startForeground; % this will block the command line fprintf('done.\n2SD: %1.2f, lick threshold: %1.2f\n', 2 * stdData, lickThresh); % plotting figure('Name', 'LickingThreshold', 'Position', [150, 300, 950, 350], 'NumberTitle', 'off', ... 'MenuBar', 'none', 'ToolBar', 'none'); plot((1:numel(baseline)) / 1000, baseline - meanData, 'b'); hold on; plot((1:numel(lick)) / 1000, lick - meanData, 'r'); line([0, recordDuration], [lickThresh, lickThresh], 'Color', 'green'); line([0, recordDuration], [2 * stdData, 2 * stdData], 'Color', 'cyan'); line([0, recordDuration], [- 2 * stdData, - 2 * stdData], 'Color', 'cyan'); legend({'baseline', 'licking', 'lickTreshold', '\pm 2SD'}); else fprintf('Testing analog input for licking threshold... skipped.\nLick threshold: %1.2f\n', ... lickThresh); end; unsavedOut.lickThresh = lickThresh; % digital out fprintf('Testing reward system by opening for %.2fs after a delay of %.2fs... ', ... config.training.rewDur, config.training.rewDelay); giveReward(s2, config.training.rewDur, config.training.rewDelay); fprintf('done!\n') if doEmptyWater; doEmptyWater = str2double(input('Empty water ? 1 = yes, 0 = no\n', 's')); %#ok<UNRCH> while doEmptyWater; fprintf('Emptying water... '); giveReward(s2, 0.03, 0); % giveReward(s2, 3, 0); fprintf(' done.'); doEmptyWater = str2double(input('Empty more ? 1 = yes, 0 = no\n', 's')); if ~doEmptyWater; break; end; end; end; s1.IsNotifyWhenDataAvailableExceedsAuto = true; lh = s1.addlistener('DataAvailable', @(src, event) recordAndStop(src, event, lickThresh)); s1.IsContinuous = true; s1.prepare; %% Setup - saving settings recordedValues = 0; saveTime = datestr(now, 'yyyy_mm_dd__HH_MM_SS'); saveFolder = sprintf('C:\\Users\\laurenczy\\mtrainerData\\%s\\', mouseId); savePath = sprintf('%s%s__%s', saveFolder, mouseId, saveTime); mkdir(saveFolder); logfile = sprintf('%s_log.txt', savePath); logDateFormat = 'yyyy-mm-dd HH:MM:SS.FFF'; % create an 'onCleanup' function to handle interruptions by CTRL+C c = onCleanup(@()closeDiaryAndSaveOutput(savePath, lh, s1, s2)); fprintf('Finished setting up and hardware tests.\n'); fprintf('CHECK MOUSE ID!! currently: %s.\n', mouseId); if automode; pause(5); else fprintf('Then press any key to start!'); %#ok<UNRCH> pause; end; unsavedOut.savePath = savePath; unsavedOut.saveTime = saveTime; diary(logfile); %% Start experiment fprintf('Experiment start: %s\n\n', datestr(now, logDateFormat)); try %% Experiment - initialize variables dbgLevel = 0; out = unsavedOut; o('config: %s phase %s (%dF%dT)', out.taskType, out.phase, numel(config.tone.freqs), ... config.tone.nTones, 0, dbgLevel); o('animal: %s', mouseId, 0, dbgLevel); o('savePath: %s', savePath, 0, dbgLevel); o('lickThresh: %1.2f, ISI: %1.2f', lickThresh, config.tone.ISI, 0, 0); o('rewardCollectionTime: %1.2f, InTriLickTimerDur: %1.2f', ... config.training.rewCollTime, ... config.training.InTriLickTimerDur, 0, dbgLevel); totalTrialDur = config.training.trialDur + config.training.startDelay + ... config.training.rewCollTime; nTrials = numel(stims); % compute relative start times for each trial out.trialStarts_sched = 0 : totalTrialDur : (nTrials - 1) * totalTrialDur; out.trialStarts_obs = zeros(1, nTrials); out.trialEnds_obs = zeros(1, nTrials); out.respTimes = nan(1, nTrials); out.nInTriLick = zeros(1, nTrials); out.resps = nan(1, nTrials); out.respDelay = nan(1, nTrials); % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early out.respTypes = zeros(1, nTrials); out.expStartTime = tic; for iTrial = 1 : nTrials; out.iTrial = iTrial; % listen for response s1.startBackground; pause(0.01) interTrialLickCount = 0; %% Experiment - initial wait while toc(out.expStartTime) < out.trialStarts_sched(iTrial); % fprintf('CheckingA: s1.IsRunning? %d\n', s1.IsRunning); % check if no lick has been done if ~s1.IsRunning; remainingTime = out.trialStarts_sched(iTrial) - toc(out.expStartTime); addedDelay = 0; % delay the schedule if needed if (remainingTime < config.training.InTriLickTimerDur); addedDelay = config.training.InTriLickTimerDur - remainingTime; out.trialStarts_sched(iTrial:end) = out.trialStarts_sched(iTrial:end) + addedDelay; % refresh the remaining time remainingTime = out.trialStarts_sched(iTrial) - toc(out.expStartTime); end; if interTrialLickCount > 0; fprintf('|%.1f', remainingTime); else fprintf(' inter-trial licking, delaying for %.1fs: |%.1f', ... addedDelay, remainingTime); end; interTrialLickCount = interTrialLickCount + 1; pause(1); % restart the listening s1.startBackground; pause(0.1); % fprintf('CheckingB: s1.IsRunning? %d\n', s1.IsRunning); end % avoid full-speed looping pause(0.01); end if interTrialLickCount; fprintf('|: %d inter-trial lick(s).\n', interTrialLickCount); end out.nInTriLick(iTrial) = interTrialLickCount; out.trialStarts_obs(iTrial) = toc(out.expStartTime); resp = 0; t_trialStart = tic; fprintf('Trial %03d/%03d - %s ... ', iTrial, nTrials, datestr(now, logDateFormat)); %% Experiment - play sound if s1.IsRunning soundToPlay = toneArray{iTrial}; player = audioplayer(soundToPlay, config.tone.samplingFreq); %#ok<TNMLP> player.play; else fprintf('early (already licking, lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... recordedValues); if iTrial < nTrials out.trialStarts_sched(iTrial+1:end) = ... out.trialStarts_sched(iTrial+1:end) + config.training.timeoutPunish; end out.respTypes(iTrial) = 5; % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end continue end breakOut = 0; %% Experiment - wait for response while toc(t_trialStart) < config.training.trialDur if s1.IsRunning % no response detected else % seconds since trial start respTime = toc(t_trialStart); out.respTimes(iTrial) = respTime; % response should be 'minRespTime' after the end of the tone! totToneDur = (config.tone.toneDur + config.tone.ISI) * config.tone.nTones - config.tone.ISI; limitRespTime = totToneDur + config.training.minRespTime; out.respDelay(iTrial) = limitRespTime - respTime; % early response, count as kind of false alarm if respTime < limitRespTime; % fprintf('early (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('early (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); if iTrial < nTrials out.trialStarts_sched(iTrial+1:end) = out.trialStarts_sched(iTrial+1:end) ... + config.training.timeoutPunish; end; pause(config.training.timeoutPunish * 0.2); out.respTypes(iTrial) = 5; breakOut = 1; break; else % fprintf('Lick at %s\n', datestr(clock, logDateFormat)) resp = 1; end; break; % break out of while loop end; pause(0.02); % necessary to allow time for data collection end; if breakOut; out.trialEnds_obs(iTrial) = toc(out.expStartTime); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end; continue; % continue for loop end; if s1.IsRunning; s1.stop; end; %% Experiment - analyse response out.resps(iTrial) = resp; isOddTrial = stims(iTrial) ~= odds(iTrial); if config.tone.oddProba > 0; % oddball discrimination isTargetStim = isOddTrial && config.tone.goStim; else % frequency discrimination isTargetStim = stims(iTrial) == config.tone.goStim; end; if resp == 1 && isTargetStim; % correct response % fprintf('correct detection (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('correct detection (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); out.respTypes(iTrial) = 1; % give reward giveReward(s2,config.training.rewDur,config.training.rewDelay); % wait so they can collect the reward pause(config.training.rewCollTime); if iTrial < nTrials; out.trialStarts_sched(iTrial+1:end) = ... out.trialStarts_sched(iTrial+1:end) ... + (config.training.rewDur + config.training.rewDelay); end; elseif resp == 1 && ~isTargetStim; % false alarm % fprintf('false alarm (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', ... % recordedValues); fprintf('false alarm (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); out.respTypes(iTrial) = 3; if iTrial < nTrials; out.trialStarts_sched(iTrial+1:end) = ... out.trialStarts_sched(iTrial+1:end) + config.training.timeoutPunish; end elseif resp == 0 && isTargetStim; fprintf('miss.\n'); out.respTypes(iTrial) = 4; if iTrial < nTrials out.trialStarts_sched(iTrial+1:end) = ... out.trialStarts_sched(iTrial+1:end) + config.training.timeoutPunish; end elseif resp == 0 && ~isTargetStim; fprintf('correct rejection.\n'); out.respTypes(iTrial) = 2; % go to next trial % give reward and wait so they can collect it % giveReward(s2,config.training.rewDur,config.training.rewDelay); % pause(config.training.rewCollTime); % if iTrial < nTrials % out.trialStarts_sched(iTrial+1:end) = out.trialStarts_sched(iTrial+1:end) + ... % config.training.rewDur + config.training.rewDelay; % end end out.trialEnds_obs(iTrial) = toc(out.expStartTime); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(out.respTypes, 0); end end %% End experiment fprintf('\nExperiment end: %s\n', datestr(now, logDateFormat)); out.expTotDurTime = toc(out.expStartTime); fprintf('Total time: %02.0f:%02.0f\n', out.expTotDurTime / 60, mod(out.expTotDurTime, 60)); mtrainerAnalyser_performance(out.respTypes, 2, out.savePath, out.nInTriLick); catch err fprintf('\n\nAn error occured. Last trial: %1.0f. Cleaning up ...\n\n', iTrial) rethrow(err); end %% Function - giveReward function giveReward(s2, rewDur, rewDelay) t_rewardStart = tic; % wait until for start delay while toc(t_rewardStart) < rewDelay; end; t_rewardStart = tic; % open digital out s2.outputSingleScan(0); % wait until for open duration while toc(t_rewardStart) < rewDur; end; % close digital out s2.outputSingleScan(1); end function recordAndStop(src, event, lickThresh) recordedValues = stopWhenExceedThreshold(src, event, lickThresh); end function closeDiaryAndSaveOutput(savePath, lh, s1, s2) fprintf('\nClosing diary... '); diary off; fprintf('done.\n'); if (exist('out', 'var')); matFileName = sprintf('%s_out.mat', savePath); fprintf('Saving output as %s... ', matFileName); save(matFileName, 'out'); fprintf('done.\n'); else fprintf('/!\\ Output not saved\n'); end; fprintf('Closing channels... '); if exist('lh', 'var'); delete(lh); end; if exist('s1', 'var'); delete(s1); end; if exist('s2', 'var'); delete(s2); end; fprintf('done.\n'); end end
github
HelmchenLabSoftware/OCIA-master
mtrainer_oldversion_legacyInterface.m
.m
OCIA-master/behavior/mtrainer/mtrainer_oldversion_legacyInterface.m
8,514
utf_8
745363c7c815304e2e4265dd8ef8ab38
function mtrainer(varargin) % main function for mtrainer experiment suite % all times are in s! % written by Henry Luetcke ([email protected]) % 2012-11-08 if ~nargin % gui select mat-file with config structure [FileName,PathName] = uigetfile('*.mat','Select configuration file'); S = load(fullfile(PathName,FileName)); fields = fieldnames(S); config = S.(fields{1}); else config = varargin{1}; end try parseConfig(config); catch rethrow(lasterror) error('Failed to parse config struture') end %% Setup stimuli and trials % set up stimVector stimVector = []; for n = 1:length(config.tone.fVector) stim = repmat(n,1,round(config.tone.stimProbabilities(n)*config.tone.trials)); stimVector = [stimVector, stim]; end stimVector = stimVector(randperm(numel(stimVector))); % set up tone array toneArray = MakePureToneArray(config.tone.fVector,stimVector,... config.tone.toneDuration,config.tone.sf); %% Start hardware % analog input daqreset ai=analoginput(config.hardware.adaptorID,config.hardware.analogIn_Device); addchannel(ai, config.hardware.analogIn_Channel); set(ai,'InputType','SingleEnded') % sample rate and recording duration ai.SampleRate = config.hardware.aiSampleRate; % digital IO dio=digitalio(config.hardware.adaptorID,config.hardware.digitalIO_Device); digitalOut = addline(dio,config.hardware.digitalOut_Channel,'out'); % hardware 'warm-up' % analog in ai.SamplesPerTrigger = 100; start(ai); % get data data = getdata(ai); figure, plot(data) lickThresh = 10.*std(data) + max(data); fprintf('Lick threshold: %1.2f\n',lickThresh) stop(ai), clear data % digital out putvalue(digitalOut,1) % 1 is light off, 0 is light on (strangely enough) for n = 1:10; putvalue(digitalOut,0), putvalue(digitalOut,1), pause(0.1); end % some changes to ai ai.SamplesPerTrigger = Inf; % % timer function % trial = 1; t_trialStart = clock; % ai.TimerFcn = {@daqTimerFunction}; % ai.TimerPeriod = 0.01; % set(ai, 'TriggerRepeat', Inf); logfile = sprintf('mtrainerLogfile_%s.txt',datestr(clock,30)); diary(logfile) disp('Finished set up and hardware tests. Press any key to start!') pause %% Start experiment fprintf('Experiment start: %s\n\n',datestr(now,'dd-mm-yyyy HH:MM:SS.FFF')) try totalTrialDur = config.training.trialDuration(1) + config.training.startDelay; samplesPerTrial = round((totalTrialDur-0.1).*ai.SampleRate); % a bit less to allow for processing time maxTrials = numel(stimVector); maxTrials = 50; % for testing responseCount = zeros(1,4); % correct detect, correct reject, false alarm, miss % compute relative start times for each trial trialStartVector_scheduled = [0:totalTrialDur:(maxTrials-1)*totalTrialDur]; trialStartVector_observed = zeros(1,maxTrials); trialEndVector_observed = zeros(1,maxTrials); daqStartTime = cell(1,maxTrials); start(ai); t_expStart = tic; for trial = 1:maxTrials while toc(t_expStart) < trialStartVector_scheduled(trial) % do nothing end trialStartVector_observed(trial) = toc(t_expStart); t_trialStart = tic; fprintf('Trial %1.0f - %s\n',trial, datestr(now, 'HH:MM:SS.FFF')) % play tone sound(toneArray{trial},config.tone.sf) response = 0; % listen for response while toc(t_trialStart) < config.training.trialDuration(1) size = min([ai.SamplesAvailable 10]); data = peekdata(ai, size); if max(data) > 0.1 % lick detected fprintf('Lick at %s (max = %1.2f)\n',datestr(clock,'HH:MM:SS.FFF'),max(data)) response = 1; if stimVector(trial) == config.tone.goStim % correct response fprintf('Correct detection\n') responseCount(1) = responseCount(1) + 1; % give reward giveReward(digitalOut,config.training.rewardDuration,config.training.rewardDelay); if trial < maxTrials trialStartVector_scheduled(trial+1:end) = ... trialStartVector_scheduled(trial+1:end) + (config.training.rewardDuration+config.training.rewardDelay); end else % false alarm fprintf('False alarm\n') responseCount(3) = responseCount(3) + 1; if trial < maxTrials trialStartVector_scheduled(trial+1:end) = ... trialStartVector_scheduled(trial+1:end) + config.training.timeoutPunish; end end break end end if ~response && stimVector(trial) == config.tone.goStim fprintf('Miss\n') responseCount(4) = responseCount(4) + 1; if trial < maxTrials trialStartVector_scheduled(trial+1:end) = ... trialStartVector_scheduled(trial+1:end) + config.training.timeoutPunish; end elseif ~response && stimVector(trial) ~= config.tone.goStim fprintf('Correct rejection\n') responseCount(2) = responseCount(2) + 1; giveReward(digitalOut,config.training.rewardDuration,config.training.rewardDelay); if trial < maxTrials trialStartVector_scheduled(trial+1:end) = ... trialStartVector_scheduled(trial+1:end) + (config.training.rewardDuration+config.training.rewardDelay); end end trialEndVector_observed(trial) = toc(t_expStart); end fprintf('\nExperiment end: %s\n\n',datestr(now,'dd-mm-yyyy HH:MM:SS.FFF')) [lickData,lickDataT,daqStartTime] = ... getdata(ai,ai.SamplesAcquired); stop(ai); delete(ai); delete(dio) save('out.mat','lickData','lickDataT','daqStartTime',... 'trialStartVector_scheduled','trialStartVector_observed',... 'trialEndVector_observed') figure('Name','Trial start difference') plot((trialStartVector_observed-trialStartVector_scheduled).*1000,'k') xlabel('Trial'), ylabel('actual - scheduled / ms') doPerformanceAnalysis(responseCount); diary off catch disp('An error occured. Cleaning up ...') stop(ai), delete(ai), delete(dio), diary off rethrow(lasterror) end %% Function - giveReward function giveReward(digitalOut,rewardDuration,rewardDelay) t_rewardStart = tic; while toc(t_rewardStart) < rewardDelay % do nothing end t_rewardStart = tic; % open digital out putvalue(digitalOut,0) while toc(t_rewardStart) < rewardDuration % do nothing end putvalue(digitalOut,1) %% Function - doPerformanceAnalysis function doPerformanceAnalysis(responseCount) % responseCount columns: correct detect, correct reject, false alarm, miss trials = sum(responseCount); T = responseCount(1)+responseCount(4); % targets N = responseCount(2)+responseCount(3); % non-targets fprintf('\n\nPerformance:\n') fprintf('Trials: %1.0f\n',trials) fprintf('Correct detections: %1.0f (%1.2f%%)\n',responseCount(1),responseCount(1)./T.*100) fprintf('Correct rejections: %1.0f (%1.2f%%)\n',responseCount(2),responseCount(2)./N.*100) fprintf('False alarms: %1.0f (%1.2f%%)\n',responseCount(3),responseCount(3)./N.*100) fprintf('Miss: %1.0f (%1.2f%%)\n',responseCount(4),responseCount(4)./T.*100) fprintf('Total correct: %1.0f (%1.2f%%)\n',sum(responseCount(1:2)),sum(responseCount(1:2))./trials.*100) fprintf('Total errors: %1.0f (%1.2f%%)\n',sum(responseCount(3:4)),sum(responseCount(3:4))./trials.*100) dPrim = dprime(responseCount(1)./trials,responseCount(3)./trials,T,N); fprintf('d'':%1.3f\n',dPrim) %% Function - parseConfig function parseConfig(config) % list of required hardware fields: requiredFields = {... 'adaptorID' 'analogIn_Device' 'analogIn_Channel' 'aiSampleRate' 'digitalIO_Device' 'digitalOut_Channel' }; accessFields(config.hardware,requiredFields); % list of required tone fields: requiredFields = {... 'sf' 'fVector' 'stimProbabilities' 'trials' 'goStim' 'toneDuration' }; accessFields(config.tone,requiredFields); % list of required training fields: requiredFields = {... 'responseTime' 'trialDuration' 'startDelay' 'rewardDuration' 'rewardDelay' 'timeoutPunish' }; accessFields(config.training,requiredFields); function accessFields(S,fields) for n = 1:numel(fields) S.(fields{n}); end
github
HelmchenLabSoftware/OCIA-master
mtrainer_GUI.m
.m
OCIA-master/behavior/mtrainer/mtrainer_GUI.m
34,409
utf_8
3d5a15b6438819e18ebd58da906241e8
function varargout = mtrainer_GUI(varargin) % TODO: % - stopping the experiment: trial no 100 ? plot ? set buttons to stop ? % - reward anyway system % - forbid disconnecting HW or changing mouseID while experiment is running % - piezoThresh calibrator with setter % - online lick ploting % - online performance % - logging into GUI window % - config setter % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @mtrainer_GUI_OpeningFcn, ... 'gui_OutputFcn', @mtrainer_GUI_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}); gui_State.gui_Callback = str2func(varargin{1}); end if nargout; [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT % --- Executes just before mtrainer_GUI is made visible. function mtrainer_GUI_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to mtrainer_GUI (see VARARGIN) % Choose default command line output for mtrainer_GUI handles.output = hObject; % Update handles structure guidata(hObject, handles); initialize_gui(hObject, handles, false); set(hObject, 'DeleteFcn', @onWindowClose); set(hObject, 'Position', [200 800 800 620]); % --- Outputs from this function are returned to the command line. function varargout = mtrainer_GUI_OutputFcn(hObject, eventdata, handles) %#ok<*INUSL> % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout{1} = handles.output; % -------------------------------------------------------------------- function initialize_gui(fig_handle, handles, isreset) %#ok<*INUSD> % If the metricdata field is present and the start flag is false, it means % we are we are just re-initializing a GUI by calling it from the cmd line % while it is up. So, bail out as we dont want to start the data. initMain(handles); % updateGUI(); % --- Executes on button press in connectHW. function connectHW_Callback(hObject, eventdata, handles) % hObject handle to connectHWButton_Callback (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if isfield(main.hw, 'connected') && main.hw.connected; disconnectHW(); else connectHW(); end % updateGUI(); % --- Executes on button press in start. function start_Callback(hObject, eventdata, handles) % hObject handle to start (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; warning('mtrainerGUI:CannotStartAlreadyRunning', ... 'Cannot start because experiment is already running and not paused.'); updateGUI(); return; else startExperiment(); end % updateGUI(); try mainLoop(); catch e; closeDiaryAndSaveOutput(); throw(e); end; % --- Executes on button press in pause. function pause_Callback(hObject, eventdata, handles) % hObject handle to pause (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; if main.isPaused; main.isPaused = false; else main.isPaused = true; end else warning('mtrainerGUI:CannotPauseNotRunning', ... 'Cannot pause because experiment is not running.'); end % updateGUI(); % --- Executes on button press in stop. function stop_Callback(hObject, eventdata, handles) %#ok<*DEFNU> % hObject handle to stop (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; if main.isRunning; main.isRunning = false; closeDiaryAndSaveOutput(); else warning('mtrainerGUI:CannotStopNotRunning', 'Cannot stop because experiment is not running.'); end % updateGUI(); % --- Executes on button press in reward. function reward_Callback(hObject, eventdata, handles) % hObject handle to reward (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global main; giveReward(main.rewardDur, 0); % --- Executes on slider movement. function rewardDurSetter_Callback(hObject, eventdata, handles) % hObject handle to rewardDurSetter (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider global main; main.rewardDur = get(hObject,'Value'); set(handles.rewardDur, 'String', sprintf('%04.2f', main.rewardDur)); % --- Executes on slider movement. function piezoThreshSetter_Callback(hObject, eventdata, handles) % hObject handle to piezoThreshSetter (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'Value') returns position of slider % get(hObject,'Min') and get(hObject,'Max') to determine range of slider global main; main.piezoThresh = get(hObject, 'Value'); set(handles.piezoThresh, 'String', sprintf('%04.2f', main.piezoThresh)); % --- Executes when selected cell(s) is changed in config. function config_CellSelectionCallback(hObject, eventdata, handles) % hObject handle to config (see GCBO) % eventdata structure with the following fields (see UITABLE) % Indices: row and column indices of the cell(s) currently selecteds % handles structure with handles and user data (see GUIDATA) global main; o('#config_CellSelectionCallback: selection changed: row %d, col %d.', eventdata.Indices, 3, main.dbgLvl); row = eventdata.Indices(1); configCell = get(main.handles.config, 'Data'); main.mouseId = configCell{row, 1}; main.taskType = configCell{row, 2}; main.phase = configCell{row, 3}; main.configLoaded = false; o('#config_CellSelectionCallback: mouseId: %s, taskType: %s, phase: %s.', ... main.mouseId, main.taskType, main.phase, 3, main.dbgLvl); % updateGUI(); % --- Executes on button press in loadConfig. function loadConfig_Callback(hObject, eventdata, handles) % hObject handle to loadConfig (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) loadConfig(); %% #initMain function initMain(handles) global main; main = struct(); main.dbgLvl = 3; main.debugMode = 0; main.basePath = 'C:/Users/laurenczy/Documents/programming/Work/PhD/matlab/behavior/mtrainer/'; % main.basePath = 'D:/Users/BaL/programming/Work/PhD/matlab/behavior/mtrainer/'; configsPath = sprintf('%sconfigs.mat', main.basePath); if ~exist(configsPath, 'file'); error('mtrainerGUI:initMain:ConfigsFileNotFound', ... 'Cannot find the configs at "%s" (file not found).', configsPath); end; configsMat = load(configsPath); main.configs = configsMat.configs; [~, computerName] = system('hostname'); roomMatch = regexp(computerName, '^HIFOWS(?<room>H\d+)\-\d+\s+$', 'names'); if main.debugMode; warning('mtrainer_GUI:initMain:DebugMode', 'Debug mode is ON.'); roomMatch = struct('room', 'H30'); o('#initMain: debug mode => room tag enforced to: "%s".', roomMatch.room, 1, main.dbgLvl); end; if isempty(roomMatch); error('mtrainerGUI:initMain:HardwareLoad:NoRoomTagFound', ... 'Cannot load hardware because there''s no room tag in the computer''s name.'); elseif ~isfield(main.configs.hardware, roomMatch.room); error('mtrainerGUI:initMain:HardwareLoad:UnknownRoom', ... 'Cannot load hardware because room "%s" is unknown.', roomMatch.room); end; main.hw = struct(); main.hw.conf = main.configs.hardware.(roomMatch.room); main.hw.connected = false; main.hw.analogIns = {'piezo', 'micr', 'yscan'}; main.hw.digitalOuts = {'valve'}; main.hw.recordDur = 8.1; main.updateRate = 0.1; % 100ms update rate main.piezoThresh = 0.1; main.isRunning = false; main.isPaused = false; main.isClosed = false; main.configLoaded = false; main.iTrial = 0; main.rewardDur = str2double(get(handles.rewardDur,'String')); main.handles = handles; stateData = get(main.handles.state, 'Data'); stateData(:, 1) = getTrialInfo(0); stateData(:, 2) = getTrialInfo(0); stateData(:, 3) = getTrialInfo(0); set(main.handles.state, 'Data', stateData); set(main.handles.config, 'Data', main.configs.animals); main.GUIUpdateTimer = timer('TimerFcn', @(~, ~)updateGUI(), 'ExecutionMode', 'fixedRate', ... 'Period', main.updateRate * 1, 'StopFcn', @(~, ~)o('GUIUpdateTimer stopped.', 1, main.dbgLvl), ... 'ErrorFcn', @(~, ~)o('GUIUpdateTimer stopped with error.', 1, main.dbgLvl)); start(main.GUIUpdateTimer); main.mouseId = ''; o('Mouse trainer v1.0 initiated.', 1, main.dbgLvl); function onWindowClose(src, eventData) global main; stop(main.GUIUpdateTimer); delete(main.GUIUpdateTimer); main.isClosed = true; %% #connectHW function connectHW() global main; o('Connecting hardware ...', 1, main.dbgLvl); set(main.handles.connectHW, 'BackgroundColor', 'yellow'); main.hw.sampleRate = 0; nAnIn = numel(main.hw.analogIns); if nAnIn; main.analogInData = struct(); main.hw.anIn = daq.createSession(main.hw.conf.adaptorID); end; for iAnIn = 1 : nAnIn; anInName = main.hw.analogIns{iAnIn}; if ~main.debugMode; main.hw.sampleRate = main.hw.sampleRate + main.hw.conf.(anInName).sampleRate; main.hw.anIn.addAnalogInputChannel(main.hw.conf.(anInName).deviceName, ... main.hw.conf.(anInName).channel, 'Voltage'); main.hw.anIn.Channels(iAnIn).Name = anInName; main.hw.anIn.Channels(iAnIn).InputType = main.hw.conf.(anInName).inputType; main.hw.anIn.Channels(iAnIn).Range = main.hw.conf.(anInName).range; main.analogInData.(anInName) = []; else o(' "Connecting" fake analog input %d/%d (%s).', iAnIn, nAnIn, anInName, 1, main.dbgLvl); main.hw.(anInName) = struct(); % main.hw.([anInName 'Listener']) = struct(); main.hw.(anInName).stop = 1; main.hw.(anInName).startBackground = 1; % main.hw.(analogInName).IsRunning = @()(round(rand + 0.4)); % main.hw.(analogInName).IsRunning = @()(round(rand - 0.4)); main.hw.(anInName).IsRunning = 1; pause(1); end; o(' Analog input %d/%d (%s): OK.', iAnIn, nAnIn, anInName, 1, main.dbgLvl); end; if nAnIn; main.hw.([anInName 'Listener']) = main.hw.anIn.addlistener('DataAvailable', @(src, event) storeData(src, event)); main.hw.anIn.IsNotifyWhenDataAvailableExceedsAuto = true; main.hw.anIn.IsContinuous = true; main.hw.sampleRate = main.hw.sampleRate / nAnIn; main.hw.anIn.Rate = main.hw.sampleRate; main.hw.anIn.NotifyWhenDataAvailableExceeds = 200; % main.hw.anIn.Rate = 3000; main.hw.anIn.prepare(); end; for iDigOut = 1 : numel(main.hw.digitalOuts); digOutName = main.hw.digitalOuts{iDigOut}; if ~main.debugMode; main.hw.(digOutName) = daq.createSession(main.hw.conf.adaptorID); main.hw.(digOutName).addDigitalChannel(main.hw.conf.(digOutName).deviceName, ... main.hw.conf.(digOutName).portLine, 'OutputOnly'); main.hw.(digOutName).outputSingleScan(0); % make sure valve is closed else o(' "Connecting" fake digital output %d (%s).', iDigOut, digOutName, 1, main.dbgLvl); main.hw.valve = struct(); pause(1); end; o(' Digital output %d (%s): OK.', iDigOut, digOutName, 1, main.dbgLvl); end; main.hw.connected = true; o('Hardware connected.', 1, main.dbgLvl); if ~strcmp(main.GUIUpdateTimer.Running, 'on'); start(main.GUIUpdateTimer); end; main.hw.anIn.startBackground(); %% #disconnectHW function disconnectHW() global main; o('Disconnecting hardware ...', 1, main.dbgLvl); if ~main.debugMode; main.hw.anIn.stop(); % % analog inputs % for iAnIn = 1 : numel(main.hw.analogIns); % anInName = main.hw.analogIns{iAnIn}; % if isfield(main.hw, ([anInName 'Listener'])); % main.hw = rmfield(main.hw, [anInName 'Listener']); % end; % if isfield(main.hw, anInName); % main.hw.(anInName).stop(); % main.hw = rmfield(main.hw, anInName); % end; % end; % % digital outputs % for iDigOut = 1 : numel(main.hw.digitalOuts); % digOutName = main.hw.digitalOuts{iDigOut}; % if isfield(main.hw, digOutName); % % main.hw.(digOutName).stop(); % main.hw = rmfield(main.hw, digOutName); % end; % end; daqreset(); end; main.hw.connected = false; o('Hardware disconnected.', 1, main.dbgLvl); %% #giveReward function giveReward(rewDur, rewDelay) global main; if main.hw.connected && isfield(main.hw, 'valve'); if ~main.debugMode; t_rewardStart = tic; % wait until for start delay while toc(t_rewardStart) < rewDelay; end; t_rewardStart = tic; % open digital out % main.hw.valve.outputSingleScan(0); main.hw.valve.outputSingleScan(1); % wait until for open duration while toc(t_rewardStart) < rewDur; end; % close digital out % main.hw.valve.outputSingleScan(1); main.hw.valve.outputSingleScan(0); end; o('Rewarding for %.2f sec with a delay of %.2f.', rewDur, rewDelay, 3, main.dbgLvl); else warning('mtrainerGUI:NoRewardHardwareDisconnected', 'Cannot give reward because hardware is disconnected.'); end %% #updateGUI function updateGUI() global main; % o('#updateGUI()', 1, main.dbgLvl); if main.isClosed; return; end; stateData = get(main.handles.state, 'Data'); handles = main.handles; if main.hw.connected; set(handles.connectHW, 'BackgroundColor', 'green'); set(handles.connectHW, 'Value', 1); else set(handles.connectHW, 'BackgroundColor', 'red'); set(handles.connectHW, 'Value', 0); end; if main.isRunning; set(handles.start, 'Value', 1); set(handles.start, 'BackgroundColor', 'green'); if main.isPaused; set(handles.pause, 'Value', 1); set(handles.pause, 'BackgroundColor', [1 1 0]); else set(handles.pause, 'Value', 0); set(handles.pause, 'BackgroundColor', 'green'); end; % stateData(:, 1) = stateData(:, 2); stateData(:, 1) = getTrialInfo(main.iTrial - 1); stateData(:, 2) = getTrialInfo(main.iTrial); if main.iTrial < main.config.training.nTrials; stateData(:, 3) = getTrialInfo(main.iTrial + 1); else stateData(:, 3) = getTrialInfo(0); end; else set(handles.start, 'Value', 0); set(handles.start, 'BackgroundColor', 'red'); set(handles.pause, 'Value', 0); set(handles.pause, 'BackgroundColor', 'red'); if main.configLoaded && main.iTrial == 0; stateData(:, 3) = getTrialInfo(1); else stateData(:, 3) = getTrialInfo(0); end; end; delete(get(handles.piezoAxes, 'Children')); % delete previous plot if isfield(main, 'analogInData'); hold(handles.piezoAxes, 'on'); if isfield(main.analogInData, 'yscan'); nSamples = size(main.analogInData.yscan, 1); if nSamples; t = (1 : nSamples) / main.hw.sampleRate; plot(handles.piezoAxes, t, main.analogInData.yscan * 3, 'b'); end; end; if isfield(main.analogInData, 'micr'); nSamples = size(main.analogInData.micr, 1); if nSamples; t = (1 : nSamples) / main.hw.sampleRate; plot(handles.piezoAxes, t, main.analogInData.micr * 2, 'g'); end; end; if isfield(main.analogInData, 'piezo'); nSamples = size(main.analogInData.piezo, 1); if nSamples; t = (1 : nSamples) / main.hw.sampleRate; plot(handles.piezoAxes, t, main.analogInData.piezo * 10, 'r'); if isfield(main, 'piezoThresh'); plot(handles.piezoAxes, [0, t(end)], [main.piezoThresh, main.piezoThresh] * 10, 'r:'); end; end; end; end; xlim(handles.piezoAxes, [0 main.hw.recordDur]); ylim(handles.piezoAxes, [-3, 3]); set(main.handles.state, 'Data', stateData); set(main.handles.configLoaded, 'Value', logical(main.configLoaded)); %% #getTrialInfo function trialInfo = getTrialInfo(iTrial) global main; if iTrial; freq = sprintf('%4.2f', main.config.tone.freqs(main.stims(iTrial)) / 1000); if isfield(main.config.tone, 'oddProba') && main.config.tone.oddProba > 0; % oddball discrimination isTarget = double(main.stims(iTrial) ~= main.odds(iTrial) && main.config.tone.goStim); else % frequency discrimination isTarget = double(main.stims(iTrial) == main.config.tone.goStim); end; if isfield(main, 'resps') && ~isnan(main.resps(iTrial)); resp = main.resps(iTrial); respTime = main.respTimes(iTrial); if isnan(respTime); respTime = '-'; end; corr = double((isTarget && resp) || (~isTarget && ~resp)); ITL = main.nInTriLick(iTrial); else resp = '-'; respTime = '-'; corr = '-'; ITL = '-'; end; trialInfo = {iTrial, freq, isTarget, resp, respTime, corr, ITL}; else trialInfo = {'-', '-', '-', '-', '-', '-', '-'}; end; %% #loadConfig function loadConfig() global main; o('Loading configuration ...', 2, main.dbgLvl); if isempty(main.mouseId); warning('loadConfig:NoMouseIdSelected', 'Cannot load config because no mouseId is selected.'); return; end; % main.doEmptyWater = 0; % main.doEmptyWater = 1; % if > 0, sets the number of seconds to wait before a new run of mtrainer % main.automode = 5; main.iTrial = 0; % main.piezoThresh = NaN; main.config = main.configs.behavior.(main.taskType).(main.phase); %% Setup - stimuli and trials o(' loadConfig#: setup stimuli and trials... ', 3, main.dbgLvl); % set up stimulus vector stims = []; for iFreq = 1 : numel(main.config.tone.freqs); stimForFreq = repmat(iFreq, 1, ... round(main.config.tone.stimProba(iFreq) * main.config.training.nTrials)); stims = [stims, stimForFreq]; %#ok<AGROW> end % stim vector should not be randomly permuted stims = stims(randperm(numel(stims))); stims = stims(1 : main.config.training.nTrials); clear stim; switch(main.taskType); case {'freqDiscr', 'oddDiscr'}; % set up oddball vector by altering stims with a certain probability odds = stims; oddPos = zeros(size(odds)); uniqueStims = unique(stims); isOdd = rand(1, numel(stims)) < main.config.tone.oddProba; uniqueOddPos = main.config.tone.nTones - 1 : main.config.tone.nTones; % last 2 tones can be odd for iStim = 1 : numel(isOdd); if isOdd(iStim); otherStims = uniqueStims(uniqueStims ~= stims(iStim)); otherStims = otherStims(randperm(numel(otherStims))); mixedOddPos = uniqueOddPos(randperm(numel(uniqueOddPos))); odds(iStim) = otherStims(1); oddPos(iStim) = mixedOddPos(1); end; end; % set up tone array main.toneArray = MakePureMultiToneOddballArray(main.config.tone.freqs, stims, odds, oddPos, ... main.config.tone.nTones, main.config.tone.stimDur, main.config.tone.ISI, ... main.config.tone.samplingFreq); case 'cotDiscr'; odds = zeros(size(stims)); oddPos = zeros(size(stims)); isOdd = zeros(size(stims)); atten = 0.5; main.toneArray = MakeCloudOfTonesSound(main.config.tone.uniqueFreqs, main.config.tone.freqIndexes, ... main.config.tone.cloudDispersion, stims, main.config.tone.toneDur, main.config.tone.toneISI, ... main.config.tone.stimDur, atten, main.config.tone.samplingFreq, 0, 0); end; main.stims = stims; main.odds = odds; main.oddPos = oddPos; main.isOdd = isOdd; main.configLoaded = true; updateGUI(); o(' loadConfig#: setup stimuli and trials done. ', 2, main.dbgLvl); o('Loading configuration done.', 2, main.dbgLvl); %% #startExperiment function startExperiment() global main; if ~main.configLoaded; warning('startExperiment:configNotLoaded', 'Cannot start experiment because config is not loaded.'); return; end; if isempty(main.mouseId); warning('startExperiment:NoMouseId', 'Cannot start experiment because there is no mouseId.'); return; end; if ~main.hw.connected; warning('startExperiment:HardwareDisconnected', ... 'Cannot start experiment because hardware is disconnected.'); return; end; o('startExperiment#: initializing experiment ... ', 2, main.dbgLvl); main.isPaused = false; main.isRunning = true; main.iTrial = 1; main.saveTime = datestr(now(), 'yyyy_mm_dd__HH_MM_SS'); % saveFolder = sprintf('D:/Balazs/2013/mtrainerTests/%s/', ... % saveFolder = sprintf('C:/Users/laurenczy.HIFO/Documents/LocalData/2013/mtrainerTests/%s/', ... saveFolder = sprintf('C:/Users/laurenczy/mtrainerTests/%s/', main.mouseId); % saveFolder = sprintf('D:/Users/BaL/PhD/mtrainerTests/%s/', main.mouseId); main.savePath = sprintf('%s%s__%s', saveFolder, main.mouseId, main.saveTime); mkdir(saveFolder); logfile = sprintf('%s_log.txt', main.savePath); main.logDateFormat = 'yyyy-mm-dd HH:MM:SS.FFF'; % % create an 'onCleanup' function to handle interruptions by CTRL+C % c = onCleanup(@()closeDiaryAndSaveOutput(main.savePath, main.hw.piezoListener, ... % main.hw.piezo, main.hw.valve)); o(' startExperiment#: logFile initialized. Starting diary...', 2, main.dbgLvl); diary(logfile); %% Start experiment o('Experiment start: %s\n\n', datestr(now(), main.logDateFormat), 1, main.dbgLvl); %% Setup - saving settings global recordedValues; recordedValues = 0; o('config: %s phase %s (%dF%dT)', main.taskType, main.phase, numel(main.config.tone.freqs), ... main.config.tone.nTones, 0, main.dbgLvl); o('animal: %s', main.mouseId, 0, main.dbgLvl); o('savePath: %s', main.savePath, 0, main.dbgLvl); o('piezoThresh: %1.2f, ISI: %1.2f', main.piezoThresh, main.config.tone.ISI, 1, main.dbgLvl); o('rewardCollectionTime: %1.2f, InTriLickTimerDur: %1.2f', main.config.training.rewCollTime, ... main.config.training.InTriLickTimerDur, 1, main.dbgLvl); nTrials = main.config.training.nTrials; main.trialStartDelays = zeros(1, nTrials); main.trialStartTimes = zeros(1, nTrials); main.trialEndTimes = zeros(1, nTrials); main.respTimes = nan(1, nTrials); main.nInTriLick = nan(1, nTrials); main.resps = nan(1, nTrials); main.respDelays = nan(1, nTrials); % for each trial: 1 = correct detect, 2 = correct reject, 3 = false alarm, 4 = miss, 5 = early main.respTypes = nan(1, nTrials); main.expStartTime = tic; main.isPunish = 0; %% #mainLoop function mainLoop() global main; displayedPause = 0; while main.isRunning; o('mainLoop#: iTrial = %d.', main.iTrial, 4, main.dbgLvl); if ~main.isPaused; if displayedPause; o(' --- RESUMED --- ', 1, main.dbgLvl); displayedPause = 0; end; o('mainLoop#: running trial %d.', main.iTrial, 3, main.dbgLvl); runTrial(); if main.isRunning; % o('Trial %d: pause ended, updating trial number.', main.iTrial, 2, main.dbgLvl); if main.iTrial == main.config.training.nTrials; main.isRunning = false; %% End experiment o('\nExperiment end: %s', datestr(now(), main.logDateFormat), 1, main.dbgLvl); main.expTotDurTime = toc(main.expStartTime); o('Total time: %02.0f:%02.0f', ... main.expTotDurTime / 60, mod(main.expTotDurTime, 60), main.dbgLvl); mtrainerAnalyser_performance(main.respTypes, 2, main.savePath, main.nInTriLick); closeDiaryAndSaveOutput(); else main.iTrial = main.iTrial + 1; o('Trial %d: updated trial number: %d.', main.iTrial - 1, main.iTrial, 2, main.dbgLvl); end; else o('Trial %d: not running anymore, no update of trial number.', main.iTrial, 2, main.dbgLvl); end; o('mainLoop#: running trial %d done.', main.iTrial, 3, main.dbgLvl); % updateGUI(); else if ~displayedPause; o(' --- PAUSED --- ', 1, main.dbgLvl); displayedPause = 1; end; o('mainLoop#: waiting for %f sec (trial %d).', main.updateRate, main.iTrial, 3, main.dbgLvl); pause(main.updateRate); end; end; %% #runTrial function runTrial() global main; nTrials = main.config.training.nTrials; iTrial = main.iTrial; % listen for response % main.hw.anIn.startBackground(); pause(0.01) interTrialLickCount = 0; main.trialStartTimes(iTrial) = tic; % introduce a random delay for starting the tone main.trialStartDelays(iTrial) = main.config.training.startDelay + ... (rand(1) - 0.5) * 2 * main.config.training.startDelayRand; % add punishement time-out if needed if main.isPunish; main.trialStartDelays(iTrial) = main.trialStartDelays(iTrial) + main.config.training.timeoutPunish; end; %% Experiment - initial wait while toc(uint64(main.trialStartTimes(iTrial))) < main.trialStartDelays(iTrial); % fprintf('CheckingA: main.hw.piezo.IsRunning()? %d\n', main.hw.piezo.IsRunning()); % check if experiment is paused/stopped if ~main.isRunning; return; end; while main.isPaused; pause(main.updateRate); end; if ~main.isRunning; return; end; % % check if no lick has been done % if ~main.hw.piezo.IsRunning(); % if not running anymore, it means a licking has been done % remainingTime = main.trialStartDelays(iTrial) - toc(uint64(main.trialStartTimes(iTrial))); % if interTrialLickCount > 0; % fprintf('|%.1f', remainingTime); % else % fprintf(' inter-trial licking: |%.1f', remainingTime); % end; % % % reset the starting delay to main.config.training.InTriLickTimerDur % main.trialStartTimes(iTrial) = tic; % if main.isPunish; % main.trialStartDelays(iTrial) = max(main.config.training.InTriLickTimerDur, remainingTime); % else % main.trialStartDelays(iTrial) = main.config.training.InTriLickTimerDur; % end; % interTrialLickCount = interTrialLickCount + 1; % pause(1); % % restart the listening % % main.hw.piezo.startBackground(); % % pause(0.1); % % fprintf('CheckingB: main.hw.piezo.IsRunning()? %d\n', main.hw.piezo.IsRunning()); % end % avoid full-speed looping pause(0.1); % updateGUI(); end; % if interTrialLickCount; % fprintf('|: %d inter-trial lick(s).\n', interTrialLickCount); % end main.nInTriLick(iTrial) = interTrialLickCount; resp = 0; main.isPunish = 0; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; t_trialStart = tic; fprintf('Trial %03d/%03d - %s ... ', iTrial, nTrials, datestr(now(), main.logDateFormat)); %% Experiment - play sound % if main.hw.piezo.IsRunning(); soundToPlay = main.toneArray{iTrial}; player = audioplayer(soundToPlay, main.config.tone.samplingFreq); player.play; % else % fprintf('early (already licking, lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); % main.isPunish = 1; % main.respTypes(iTrial) = 5; % % analyse every 10 trials % if ~rem(iTrial, 10) && iTrial ~= nTrials; % mtrainerAnalyser_performance(main.respTypes, 0); % end; % return; % end breakOut = 0; %% Experiment - wait for response while toc(t_trialStart) < main.config.training.trialDur; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; % if main.hw.piezo.IsRunning(); if 1; % no response detected else % seconds since trial start respTime = toc(t_trialStart); main.respTimes(iTrial) = respTime; % response should be 'minRespTime' after the end of the tone! totStimDur = (main.config.tone.stimDur + main.config.tone.ISI) * main.config.tone.nTones - main.config.tone.ISI; limitRespTime = totStimDur + main.config.training.minRespTime; % limitRespTime = main.config.training.minRespTime; main.respDelays(iTrial) = limitRespTime - respTime; % early response, count as kind of false alarm if respTime < limitRespTime; % fprintf('early (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('early (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.isPunish = 1; main.respTypes(iTrial) = 5; breakOut = 1; break; else % fprintf('Lick at %s\n', datestr(clock, main.logDateFormat)) resp = 1; end; break; % break out of while loop end; pause(0.02); % necessary to allow time for data collection % updateGUI(); end; if breakOut; main.trialEndTimes(iTrial) = toc(uint64(main.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(main.respTypes, 0); end; return; % continue for loop end; % if main.hw.piezo.IsRunning(); % main.hw.piezo.stop(); % end; % check if experiment is paused/stopped if ~main.isRunning; return; end; % while main.isPaused; pause(main.updateRate); end; % if ~main.isRunning; return; end; %% Experiment - analyse response main.resps(iTrial) = resp; isOddTrial = main.stims(iTrial) ~= main.odds(iTrial); if isfield(main.config.tone, 'oddProba') && main.config.tone.oddProba > 0; % oddball discrimination isTargetStim = isOddTrial && main.config.tone.goStim; else % frequency discrimination isTargetStim = main.stims(iTrial) == main.config.tone.goStim; end; if resp == 1 && isTargetStim; % correct response % fprintf('correct detection (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('correct detection (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.respTypes(iTrial) = 1; % give reward giveReward(main.config.training.rewDur, main.config.training.rewDelay); % wait to collect the reward pause(main.config.training.rewCollTime); elseif resp == 1 && ~isTargetStim; % false alarm % fprintf('false alarm (lick sensor: min/mean/max: %.2f/%.2f/%.2f).\n', recordedValues); fprintf('false alarm (response time: %.4f, limit response time: %.4f, diff: %.5f).\n', ... respTime, limitRespTime, limitRespTime - respTime); main.respTypes(iTrial) = 3; % punish time-out main.isPunish = 1; elseif resp == 0 && isTargetStim; fprintf('miss.\n'); main.respTypes(iTrial) = 4; % punish time-out main.isPunish = 1; elseif resp == 0 && ~isTargetStim; fprintf('correct rejection.\n'); main.respTypes(iTrial) = 2; % go to next trial end main.trialEndTimes(iTrial) = toc(uint64(main.trialStartTimes(iTrial))); % analyse every 10 trials if ~rem(iTrial, 10) && iTrial ~= nTrials; mtrainerAnalyser_performance(main.respTypes, 0); end; %% #recordAndStop function recordAndStop(src, event) % global main recordedValues; % [recordedValues, main.recordedData] = stopWhenExceedThreshold(src, event, main.piezoThresh); % updateGUI(); %% #storeData function storeData(src, event) global main; nChans = size(event.Data, 2); for iChan = 1 : nChans; anInName = main.hw.analogIns{iChan}; prevData = main.analogInData.(anInName); % currChanData = linScale(event.Data(:, iChan) - mean(event.Data(:, iChan))); currChanData = event.Data(:, iChan) - mean(event.Data(:, iChan)); % currChanData = event.Data(:, iChan); allChanData = [prevData; currChanData]; if size(allChanData, 1) / main.hw.sampleRate > main.hw.recordDur; main.analogInData.(anInName) = currChanData; else main.analogInData.(anInName) = allChanData; end; % if (size(allChanData, 1) + nSamples) / main.hw.sampleRate > main.hw.recordDur; % updateGUI(); % end; end; % normAbsData = abs(normData); % allData = event.Data; % supThreshData = normAbsData(normAbsData > main.piezoThresh); % recordedValues = [min(supThreshData), mean(supThreshData), max(supThreshData)]; % main.recordedData = allData; % recordDur % if any(normAbsData > threshold); % end; % % [recordedValues, main.recordedData] = stopWhenExceedThreshold(src, event, main.piezoThresh); % updateGUI(); %% #closeDiaryAndSaveOutput function closeDiaryAndSaveOutput() global main; o('\nClosing diary... ', 2, main.dbgLvl); diary off; o('Closing diary done.', 1, main.dbgLvl); out = main; try out.hw = rmfield(out.hw, 'toneArray'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'piezoListener'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'piezo'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'valve'); catch e; end; %#ok<NASGU> try out.hw = rmfield(out.hw, 'recordedData'); catch e; end; %#ok<NASGU> if exist('out', 'var'); matFileName = sprintf('%s_out.mat', main.savePath); o('Saving output as %s... ', matFileName, 2, main.dbgLvl); save(matFileName, 'out'); o('Saving output done.', matFileName, 1, main.dbgLvl); else o('/!\\ Output not saved !', 1, main.dbgLvl); end; % disconnectHW();
github
PacktPublishing/ROS-Programming-Building-Powerful-Robots-master
teleop.m
.m
ROS-Programming-Building-Powerful-Robots-master/Module03/Chapter08/Matlab/teleop.m
10,043
utf_8
7f1f1a8bd40b2cbd4fb318fe3d696aa9
function varargout = teleop(varargin) %Before starting this code, you have to launch any robotic simulation on %ROS PC or start a ROS robot % For example, you can test it using turtlebot simulation % You can launch turtlebot simulation using following command % $ roslaunch turtlebot_gazebo turtlebot_world.launch % Retreive IP of the PC and put it on the MATLAB app, also note the command % velocity % TELEOP MATLAB code for teleop.fig % TELEOP, by itself, creates a new TELEOP or raises the existing % singleton*. % % H = TELEOP returns the handle to a new TELEOP or the handle to % the existing singleton*. % % TELEOP('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in TELEOP.M with the given input arguments. % % TELEOP('Property','Value',...) creates a new TELEOP or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before teleop_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to teleop_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help teleop % Last Modified by GUIDE v2.5 07-Dec-2016 22:22:30 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @teleop_OpeningFcn, ... 'gui_OutputFcn', @teleop_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT % --- Executes just before teleop is made visible. function teleop_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to teleop (see VARARGIN) % Choose default command line output for teleop handles.output = hObject; % Update handles structure guidata(hObject, handles); % UIWAIT makes teleop wait for user response (see UIRESUME) % uiwait(handles.figure1); %Declaring some initial variables globally global ros_master_ip global ros_master_port global teleop_topic_name %DEFAULT ROS MASTER IP, PORT AND TELEOP TOPIC ros_master_ip = '192.168.1.102'; ros_master_port = '11311'; teleop_topic_name = '/cmd_vel_mux/input/teleop'; %Initializing robot speed global left_spinVelocity global right_spinVelocity global forwardVelocity global backwardVelocity left_spinVelocity = 2; % Angular velocity (rad/s) right_spinVelocity = -2; % Angular velocity (rad/s) forwardVelocity = 3; % Linear velocity (m/s) backwardVelocity = -3; % Linear velocity (reverse) (m/s) % --- Outputs from this function are returned to the command line. function varargout = teleop_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout{1} = handles.output; % --- Executes on button press in pushbutton2. %Right movement function pushbutton2_Callback(hObject, eventdata, handles) % hObject handle to pushbutton2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global velmsg global robot global right_spinVelocity global teleop_topic_name %Assigning data to Twist message velmsg.Angular.Z = right_spinVelocity; velmsg.Linear.X = 0; %Publishing message send(robot,velmsg); latchpub = rospublisher(teleop_topic_name, 'IsLatching', true); % --- Executes on button press in pushbutton3. %Left movement function pushbutton3_Callback(hObject, eventdata, handles) % hObject handle to pushbutton3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global velmsg global robot global left_spinVelocity global teleop_topic_name velmsg.Angular.Z = left_spinVelocity; velmsg.Linear.X = 0; send(robot,velmsg); latchpub = rospublisher(teleop_topic_name, 'IsLatching', true); % --- Executes on button press in pushbutton4. %Forward movement function pushbutton4_Callback(hObject, eventdata, handles) % hObject handle to pushbutton4 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global velmsg global robot global teleop_topic_name global forwardVelocity velmsg.Angular.Z = 0; velmsg.Linear.X = forwardVelocity; send(robot,velmsg); latchpub = rospublisher(teleop_topic_name, 'IsLatching', true); % --- Executes on button press in pushbutton5. %Backward motion function pushbutton5_Callback(hObject, eventdata, handles) % hObject handle to pushbutton5 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global velmsg global robot global backwardVelocity global teleop_topic_name velmsg.Angular.Z = 0; velmsg.Linear.X = backwardVelocity; send(robot,velmsg); latchpub = rospublisher(teleop_topic_name, 'IsLatching', true); % --- Executes on button press in pushbutton6. %This button will connect to a ROS network function pushbutton6_Callback(hObject, eventdata, handles) % hObject handle to pushbutton6 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) global ros_master_ip global ros_master_port global teleop_topic_name global robot global velmsg ros_master_uri = strcat('http://',ros_master_ip,':',ros_master_port) setenv('ROS_MASTER_URI',ros_master_uri) rosinit %Initializing ROS publishers robot = rospublisher(teleop_topic_name,'geometry_msgs/Twist'); velmsg = rosmessage(robot); % --- Executes on button press in pushbutton7. %This button disconnect from ROS network function pushbutton7_Callback(hObject, eventdata, handles) % hObject handle to pushbutton7 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) rosshutdown % setting ROS master ip from edit box %This function will retreive ROS MASTER IP from editbox function edit1_Callback(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit1 as text % str2double(get(hObject,'String')) returns contents of edit1 as a double global ros_master_ip ros_master_ip = get(hObject,'String') % --- Executes during object creation, after setting all properties. function edit1_CreateFcn(hObject, eventdata, handles) % hObject handle to edit1 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end %Retreiving ROS MASTER PORT from edit box function edit2_Callback(hObject, eventdata, handles) % hObject handle to edit2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit2 as text % str2double(get(hObject,'String')) returns contents of edit2 as a double global ros_master_port ros_master_port = get(hObject,'String') % --- Executes during object creation, after setting all properties. function edit2_CreateFcn(hObject, eventdata, handles) % hObject handle to edit2 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end %We can retreive teleop topic from this box function edit3_Callback(hObject, eventdata, handles) % hObject handle to edit3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit3 as text % str2double(get(hObject,'String')) returns contents of edit3 as a double global teleop_topic_name teleop_topic_name = get(hObject,'String') % --- Executes during object creation, after setting all properties. function edit3_CreateFcn(hObject, eventdata, handles) % hObject handle to edit3 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit controls usually have a white background on Windows. % See ISPC and COMPUTER. if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor')) set(hObject,'BackgroundColor','white'); end
github
thigiacmaytinh/FaceDetection-master
modelConvert.m
.m
FaceDetection-master/lib/opencv320/contrib/ximgproc/tutorials/scripts/modelConvert.m
2,117
utf_8
dd8b0dc376b1da49ced7529a9e3a7723
function modelConvert(model, outname) %% script for converting Piotr's matlab model into YAML format outfile = fopen(outname, 'w'); fprintf(outfile, '%%YAML:1.0\n\n'); fprintf(outfile, ['options:\n'... ' numberOfTrees: 8\n'... ' numberOfTreesToEvaluate: 4\n'... ' selfsimilarityGridSize: 5\n'... ' stride: 2\n'... ' shrinkNumber: 2\n'... ' patchSize: 32\n'... ' patchInnerSize: 16\n'... ' numberOfGradientOrientations: 4\n'... ' gradientSmoothingRadius: 0\n'... ' regFeatureSmoothingRadius: 2\n'... ' ssFeatureSmoothingRadius: 8\n'... ' gradientNormalizationRadius: 4\n\n']); fprintf(outfile, 'childs:\n'); printToYML(outfile, model.child', 0); fprintf(outfile, 'featureIds:\n'); printToYML(outfile, model.fids', 0); fprintf(outfile, 'thresholds:\n'); printToYML(outfile, model.thrs', 0); N = 1000; fprintf(outfile, 'edgeBoundaries:\n'); printToYML(outfile, model.eBnds, N); fprintf(outfile, 'edgeBins:\n'); printToYML(outfile, model.eBins, N); fclose(outfile); gzip(outname); end function printToYML(outfile, A, N) %% append matrix A to outfile as %% - [a11, a12, a13, a14, ..., a1n] %% - [a21, a22, a23, a24, ..., a2n] %% ... %% %% if size(A, 2) == 1, A is printed by N elemnent per row if (length(size(A)) ~= 2) error('printToYML: second-argument matrix should have two dimensions'); end if (size(A,2) ~= 1) for i=1:size(A,1) fprintf(outfile, ' - ['); fprintf(outfile, '%d,', A(i, 1:end-1)); fprintf(outfile, '%d]\n', A(i, end)); end else len = length(A); for i=1:ceil(len/N) first = (i-1)*N + 1; last = min(i*N, len) - 1; fprintf(outfile, ' - ['); fprintf(outfile, '%d,', A(first:last)); fprintf(outfile, '%d]\n', A(last + 1)); end end fprintf(outfile, '\n'); end
github
imistyrain/ssd-master
classification_demo.m
.m
ssd-master/matlab/demo/classification_demo.m
5,412
utf_8
8f46deabe6cde287c4759f3bc8b7f819
function [scores, maxlabel] = classification_demo(im, use_gpu) % [scores, maxlabel] = classification_demo(im, use_gpu) % % Image classification demo using BVLC CaffeNet. % % IMPORTANT: before you run this demo, you should download BVLC CaffeNet % from Model Zoo (http://caffe.berkeleyvision.org/model_zoo.html) % % **************************************************************************** % For detailed documentation and usage on Caffe's Matlab interface, please % refer to Caffe Interface Tutorial at % http://caffe.berkeleyvision.org/tutorial/interfaces.html#matlab % **************************************************************************** % % input % im color image as uint8 HxWx3 % use_gpu 1 to use the GPU, 0 to use the CPU % % output % scores 1000-dimensional ILSVRC score vector % maxlabel the label of the highest score % % You may need to do the following before you start matlab: % $ export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:/usr/local/cuda-5.5/lib64 % $ export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libstdc++.so.6 % Or the equivalent based on where things are installed on your system % % Usage: % im = imread('../../examples/images/cat.jpg'); % scores = classification_demo(im, 1); % [score, class] = max(scores); % Five things to be aware of: % caffe uses row-major order % matlab uses column-major order % caffe uses BGR color channel order % matlab uses RGB color channel order % images need to have the data mean subtracted % Data coming in from matlab needs to be in the order % [width, height, channels, images] % where width is the fastest dimension. % Here is the rough matlab for putting image data into the correct % format in W x H x C with BGR channels: % % permute channels from RGB to BGR % im_data = im(:, :, [3, 2, 1]); % % flip width and height to make width the fastest dimension % im_data = permute(im_data, [2, 1, 3]); % % convert from uint8 to single % im_data = single(im_data); % % reshape to a fixed size (e.g., 227x227). % im_data = imresize(im_data, [IMAGE_DIM IMAGE_DIM], 'bilinear'); % % subtract mean_data (already in W x H x C with BGR channels) % im_data = im_data - mean_data; % If you have multiple images, cat them with cat(4, ...) % Add caffe/matlab to you Matlab search PATH to use matcaffe if exist('../+caffe', 'dir') addpath('..'); else error('Please run this demo from caffe/matlab/demo'); end % Set caffe mode if exist('use_gpu', 'var') && use_gpu caffe.set_mode_gpu(); gpu_id = 0; % we will use the first gpu in this demo caffe.set_device(gpu_id); else caffe.set_mode_cpu(); end % Initialize the network using BVLC CaffeNet for image classification % Weights (parameter) file needs to be downloaded from Model Zoo. model_dir = '../../models/bvlc_reference_caffenet/'; net_model = [model_dir 'deploy.prototxt']; net_weights = [model_dir 'bvlc_reference_caffenet.caffemodel']; phase = 'test'; % run with phase test (so that dropout isn't applied) if ~exist(net_weights, 'file') error('Please download CaffeNet from Model Zoo before you run this demo'); end % Initialize a network net = caffe.Net(net_model, net_weights, phase); if nargin < 1 % For demo purposes we will use the cat image fprintf('using caffe/examples/images/cat.jpg as input image\n'); im = imread('../../examples/images/cat.jpg'); end % prepare oversampled input % input_data is Height x Width x Channel x Num tic; input_data = {prepare_image(im)}; toc; % do forward pass to get scores % scores are now Channels x Num, where Channels == 1000 tic; % The net forward function. It takes in a cell array of N-D arrays % (where N == 4 here) containing data of input blob(s) and outputs a cell % array containing data from output blob(s) scores = net.forward(input_data); toc; scores = scores{1}; scores = mean(scores, 2); % take average scores over 10 crops [~, maxlabel] = max(scores); % call caffe.reset_all() to reset caffe caffe.reset_all(); % ------------------------------------------------------------------------ function crops_data = prepare_image(im) % ------------------------------------------------------------------------ % caffe/matlab/+caffe/imagenet/ilsvrc_2012_mean.mat contains mean_data that % is already in W x H x C with BGR channels d = load('../+caffe/imagenet/ilsvrc_2012_mean.mat'); mean_data = d.mean_data; IMAGE_DIM = 256; CROPPED_DIM = 227; % Convert an image returned by Matlab's imread to im_data in caffe's data % format: W x H x C with BGR channels im_data = im(:, :, [3, 2, 1]); % permute channels from RGB to BGR im_data = permute(im_data, [2, 1, 3]); % flip width and height im_data = single(im_data); % convert from uint8 to single im_data = imresize(im_data, [IMAGE_DIM IMAGE_DIM], 'bilinear'); % resize im_data im_data = im_data - mean_data; % subtract mean_data (already in W x H x C, BGR) % oversample (4 corners, center, and their x-axis flips) crops_data = zeros(CROPPED_DIM, CROPPED_DIM, 3, 10, 'single'); indices = [0 IMAGE_DIM-CROPPED_DIM] + 1; n = 1; for i = indices for j = indices crops_data(:, :, :, n) = im_data(i:i+CROPPED_DIM-1, j:j+CROPPED_DIM-1, :); crops_data(:, :, :, n+5) = crops_data(end:-1:1, :, :, n); n = n + 1; end end center = floor(indices(2) / 2) + 1; crops_data(:,:,:,5) = ... im_data(center:center+CROPPED_DIM-1,center:center+CROPPED_DIM-1,:); crops_data(:,:,:,10) = crops_data(end:-1:1, :, :, 5);
github
LidkeLab/matlab-instrument-control-master
readH5File.m
.m
matlab-instrument-control-master/@MIC_H5/readH5File.m
12,944
utf_8
672b14572a6fdb018bd3c7db059ca5ae
function [H5Structure] = readH5File(FilePath, GroupName) %Extracts contents of an h5 file into H5Structure. % This method will extract the Data and Attributes from a group % named GroupName in the .h5 file specified by FilePath. % Examples: % H5Structure = readH5File('C:\file.h5') will extract all % contents of file.h5 and store them in H5Structure. % H5Structure = readH5File('C:\file.h5', 'Laser647') will extract % contents of the group 'Laser647' from file.h5 given only % the group name. % H5Structure = readH5File('C:\file.h5', ... % '/Channel01/Zposition001/Laser647') will extract contents % of the group 'Laser647' from file.h5 given a full group % path. % % INPUTS: % FilePath: String containing the path to the .h5 file of interest. % GroupName: (optional) Name of a specific group in the .h5 file to be % extracted. % % OUTPUTS: % H5Structure: Structured array containing the information extracted from % the .h5 file at FilePath. % % REQUIRES: % MATLAB 2016b or later % % CITATION: % Created by: % David James Schodt (LidkeLab, 2018) % Ensure that FilePath points to a valid file. % NOTE: == 2 means a file indeed exists at FilePath if exist(FilePath, 'file') ~= 2 error(['File specified by FilePath = ', ... '''%s'' does not exist.'], FilePath) end % If GroupName was not specified, set a flag to indicate we % want to extract all contents from the .h5 file. if exist('GroupName', 'var') % Groupname was given, don't set the SaveAll flag. SaveAll = 0; else % GroupName was not given, set the SaveAll flag. SaveAll = 1; end % Read in all of the information available about the structure of the h5 % file using MATLAB's built-in h5info() method. CurrentGroups = h5info(FilePath); % named for later convenience % Determine the .h5 file structure being used (i.e. is each % dataset in its own group or does one group contain all of % the datasets). % NOTE: DataFormat==1 means each dataset is in its own group, % DataFormat==0 means each dataset is contained in one % "supergroup" of all datasets. DataFormat = contains(CurrentGroups.Groups.Groups.Groups(1).Name, 'Data'); % Search the .h5 file for the desired groups and store their location % within the file for later extraction. DesiredGroups = []; % groups that we wish to save if DataFormat % For .h5 files in the DataFormat, we need to continue searching % through the data groups so that we find all instances of the % requested group. DataGroupsSearched = 0; % boolean else % For .h5 files that do not have the DataFormat, there is only one data % group to search. DataGroupsSearched = 1; end while isempty(DesiredGroups) || ~DataGroupsSearched % If we are extracting all contents in the .h5 file at FilePath, we % don't want to perform the search procedure in this while loop. Set % DesiredGroups to CurrentGroups (all of the groups found in the .h5 % file) and break out of the loop. if SaveAll DesiredGroups = CurrentGroups; break end % Search the current groups for the group of interest. DesiredGroups = [DesiredGroups, ... findGroupPaths(CurrentGroups, GroupName)]; % If using the data group format and we are at the .h5 structure data % group level, we need to search for the group of interest within the % sub-groups of each data group. Otherwise, we need to move one level % deeper into the structure to continue the search. CurrentGroupNameFormat = extractGroupName(CurrentGroups(1).Name); if contains(CurrentGroupNameFormat, 'Data') % We are at the data group level and must search each data % group individually. for ii = 1:numel(CurrentGroups) DesiredGroups = [DesiredGroups, ... findGroupPaths(CurrentGroups(ii).Groups, GroupName)]; end % Set the DataGroupsSearched flag to indicate we've searched all of % the data groups. DataGroupsSearched = 1; else % Move one level deeper into the structure and continue searching % for the group of interest. try % Attempt to move one level deeper into the structure. CurrentGroups = CurrentGroups.Groups; catch % We've reached the end of the structure, there are no more % groups to explore. error(['No group named ''%s'' was found in ', ... 'the file specified by FilePath = ''%s'''], ... GroupName, FilePath) end end end % Now that we've found the desired group(s), store the % Attributes, Data, and Children in a more useable format. for ii = 1:numel(DesiredGroups) % Set DesiredGroup = DesiredGroups(ii) to reduce indexing % clutter/improve code readability. DesiredGroup = DesiredGroups(ii); % Determine if the current group is the child of a data group (this % will be needed later). DesiredGroupParentName = extractGroupName(DesiredGroup.Name, 2); IsDataGroupChild = DataFormat ... && contains(DesiredGroupParentName, 'Data'); % If the desired group has attributes, store them in the % output structure. if ~isempty(DesiredGroup.Attributes) for jj = 1:numel(DesiredGroup.Attributes) % Store each attribute as a field in the output structure % accesible directly by that attributes name. If the % DesiredGroup is a data group, we'll place the attribute % information one level deeper into the output structure. AttributeName = DesiredGroup.Attributes(jj).Name; if IsDataGroupChild % For children of a datagroup, we need a different path % format within the structure (for consistency with the % structure produced for non-datagroup files). H5Structure(ii).Attributes.(AttributeName) = ... DesiredGroup.Attributes(jj).Value; else H5Structure.Attributes.(AttributeName) = ... DesiredGroup.Attributes(jj).Value; end end else % Create an empty field for the Attributes to prevent % issues with functions that may be using this method, proceeding % depending on whether or not we are currently storing a data group % (for files that contain separate groups for each dataset). if IsDataGroupChild % For children of a datagroup, we need a different path % format within the structure (for consistency with the % structure produced for non-datagroup files). H5Structure(ii).Attributes = []; else H5Structure.Attributes = []; end end % If the desired group has data, store the data in the output OldStruct % structure. if ~isempty(DesiredGroup.Datasets) for jj = 1:numel(DesiredGroup.Datasets) % Read the ii-th dataset from the h5 file and store the data % in a field of the output structure, matching the datasets % name in the h5 file to the name of the field in the output % structure. If the DesiredGroup is a data group, we'll place % the dataset information one level deeper into the output % structure. DatasetName = DesiredGroup.Datasets(jj).Name; if IsDataGroupChild % For children of a datagroup, we need a different path % format within the structure (for consistency with the % structure produced for non-datagroup files). H5Structure(ii).Data.(DatasetName) = h5read(... FilePath, [DesiredGroup.Name, '/', ... DesiredGroup.Datasets(jj).Name]); else H5Structure.Data.(DatasetName) = ... h5read(FilePath, [DesiredGroup.Name, '/', ... DesiredGroup.Datasets(jj).Name]); end end else % Create an empty field for the Data to prevent issues % with functions that may be using this method, proceeding % depending on whether or not we are currently storing a data group % (for files that contain separate groups for each dataset). if IsDataGroupChild % For children of a datagroup, we need a different path % format within the structure (for consistency with the % structure produced for non-datagroup files). H5Structure(ii).Data = []; else H5Structure.Data = []; end end % If the desired group has Children (subgroups), recurse % through those to store their Attributes, Data, and % Children. if ~isempty(DesiredGroup.Groups) % Create a cell array of subgroup names (if subgroups % exist). % NOTE: If you are comparing the output structure to % the Data, Attributes, and Children format used in the % exportState() method, the subgroups are assumed to be % the Children. SubgroupNames = {DesiredGroup.Groups.Name}; for jj = 1:numel(SubgroupNames) % Iteratively explore subgroups of the desired % group to store their attributes and data. SubgroupStructure = MIC_H5.readH5File(FilePath, ... SubgroupNames{jj}); % Remove the path information from the subgroup name, e.g. % /Channel01/Zposition001 will become Zposition001. SubgroupName = extractGroupName(SubgroupNames{jj}); % Store the subgroup structure into the output H5Structure. H5Structure.Children.(SubgroupName) = SubgroupStructure; end else % Create an empty field for the Children to prevent % issues with functions that may be using this method, proceeding % depending on whether or not we are currently storing a data group % (for files that contain separate groups for each dataset). if IsDataGroupChild % For children of a datagroup, we need yet another path % format within the structure (for consistency with the % structure produced for non-datagroup files). H5Structure(ii).Children = []; else H5Structure.Children = []; end end end end function [DesiredGroups] = findGroupPaths(CurrentGroups, GroupName) % This function will create a list of paths to a group with name GroupName % within the set of groups CurrentGroups. % Iterate through each of the CurrentGroups to search for GroupName. DesiredGroups = []; CurrentGroupNames = {CurrentGroups.Name}; for ii = 1:numel(CurrentGroupNames) % If the GroupName isn't provided as a full path, simplify the current % group name to remove group structure e.g. if % CurrentGroupNames{ii} = '/Channel01/Zposition001', simplify it to % 'ZPosition001' for comparison to GroupName. if GroupName(1) == '/' % If the first character of the input GroupName is '/', assume % that a full path was provided to the desired group. CurrentGroupName = CurrentGroupNames{ii}; else % The full path was not given, just a raw group name was given. CurrentGroupName = extractGroupName(CurrentGroupNames{ii}); end % Check if the CurrentGroupName matches the desired GroupName, storing % the path to the current group if we have a match. if strcmp(CurrentGroupName, GroupName) DesiredGroups = [DesiredGroups, CurrentGroups(ii)]; end end end function [GroupName] = extractGroupName(FullGroupName, PathLength) % This function will extract the group name from a full group % path within an .h5 file, e.g. input % FullGroupName = '/Channel01/Zposition001/Data001' % will yield GroupName = 'Data001'. The optional input PathLength % specifies how many levels from the bottom to extract, e.g. in the % previous example PathLength would be 1, but if PathLength was 2 we would % have GroupName = 'Zposition001'. % Set default parameters if needed. if ~exist('PathLength', 'var') PathLength = 1; end % If the last character of FullGroupName is a '/', we should remove it. if (FullGroupName(end) == '/') && (numel(FullGroupName) > 1) FullGroupName = FullGroupName(end-1); end % Find the last PathLength indices within FullGroupName corresponding to % the appearance of a '/' character. LastSlashIndex = find(FullGroupName=='/', PathLength, 'last'); % Return either the GroupName of interest or the name of the lowest level % group in FullGroupName as appropriate. if numel(LastSlashIndex) > 1 GroupName = FullGroupName(LastSlashIndex(1)+1:LastSlashIndex(2)-1); else GroupName = FullGroupName(LastSlashIndex+1:end); end end
github
LidkeLab/matlab-instrument-control-master
gui.m
.m
matlab-instrument-control-master/@MIC_GalvoDigital/gui.m
7,602
utf_8
8de2934750c217a43375207089f3210f
% gui: Graphical User Interface to MIC_GalvoDigital % % Functions: gui2properties, properties2gui, closeFigure, CalAngle, % setAngle_Button, setParameters_Button, ToggleGalvo % % REQUIREMENTS: % MIC_Abstract.m % MATLAB NI-DAQmx driver installed via the Support Package Installer % % CITATION: Hanieh Mazloom-Farsibaf, Lidlelab, 2017. function guiFig = gui(obj) %gui Graphical User Interface to MIC_LightSource_Abstract %Prevent opening more than one figure for same instrument if ishandle(obj.GuiFigure) guiFig = obj.GuiFigure; figure(obj.GuiFigure); return end %Open figure guiFig = figure('NumberTitle','off','Resize','off','Units','pixels','MenuBar','none',... 'ToolBar','none','Visible','on', 'Position',[100 300 500 310]); %Construct the components handles.output = guiFig; guidata(guiFig,handles); % Scanning Parametes rangeAngle = sprintf('Angle [%g, %g] ',-obj.Range,obj.Range); textangle = uicontrol('Style','text','String',rangeAngle,... 'Position',[10 250,180,25],'FontSize',10); textScanningParameters = uicontrol('Style','text','String','Scanning Parameters',... 'Position',[10 200,180,25],'FontSize',11,'FontWeight','bold'); textNoStepsPerScan = uicontrol('Style','text','String','Number of Steps Per Scan',... 'Position',[10 160,180,20],'FontSize',10); textNoScan = uicontrol('Style','text','String','Number of Scans',... 'Position',[10 120,180,20],'FontSize',10); textStepSize = uicontrol('Style','text','String','Step Size',... 'Position',[10 80,180,20],'FontSize',10); textOffset = uicontrol('Style','text','String','Starting Position (offset)',... 'Position',[10 40,180,20],'FontSize',10); handles.edit_angle = uicontrol('Parent',guiFig, 'Style', 'edit', 'String', ... '','Position', [210 250 80 25],'Tag','EditAngle','Callback',@CalAngle); handles.edit_NoStepsPerScan = uicontrol('Parent',guiFig, 'Style', 'edit', 'String', ... '','Tag','EditNSteps','Position', [210 160 80 25]); handles.edit_NoScan = uicontrol('Parent',guiFig, 'Style', 'edit', 'String', ... '','Tag','EditNScans','Position', [210 120 80 25]); handles.edit_StepSize = uicontrol('Parent',guiFig,'Style', 'edit', 'String', ... '','Tag','EditStepsize','Position', [210 80 80 25]); handles.edit_Offset = uicontrol('Parent',guiFig, 'Style', 'edit', 'String', ... '','Tag','EditOffset','Position', [210 40 80 25]); handles.setAngle=uicontrol('Style', 'pushbutton', 'String', 'Set Angle',... 'Position', [350 250 80 30], 'Callback', @setAngle_Button); handles.setParameters=uicontrol('Style', 'pushbutton', 'String', 'Set Parameters',... 'Position', [350 130 110 30], 'Callback', @setParameters_Button); handles.Toggle_EnableGalvo=uicontrol('Style','togglebutton',... 'String','Disable','Position',[350 50 65,50],... 'BackgroundColor',[0.8 0.8 0.8],'Tag','positionToggle','Callback',@ToggleGalvo); % align([textNoStepsPerScan,textNoScan,textStepSize,textOffset,textScanningParameters],'Center','None'); align([handles.edit_NoStepsPerScan,handles.edit_NoScan,handles.edit_StepSize... ,handles.edit_Offset],'Center','None'); align([handles.Toggle_EnableGalvo,handles.setParameters,handles.setAngle],'Center','None'); % Create a property based on GuiFigure obj.GuiFigure = guiFig; obj.GuiFigure.Name = obj.InstrumentName; %Prevent closing after a 'close' or 'close all' obj.GuiFigure.HandleVisibility='off'; %Save Propeties upon close obj.GuiFigure.CloseRequestFcn = @closeFigure; %Initialize GUI properties properties2gui(); function gui2properties() end function properties2gui() if ~isempty(obj.N_Step) || ~isempty(obj.N_Scan)|| ~isempty(obj.StepSize)|| ~isempty(obj.Offset) set(handles.edit_NoStepsPerScan,'Value',obj.N_Step) set(handles.edit_NoScan,'Value',obj.N_Scan); set(handles.edit_StepSize,'Value',obj.StepSize); set(handles.edit_Offset,'Value',obj.Offset); end set(handles.Toggle_EnableGalvo,'Value',obj.IsEnable); if ~isempty(obj.Angle) if isempty(obj.Word) obj.angle2word(obj.Angle) end set(handles.edit_angle,'Value',obj.Angle) else obj.Angle=0; set(handles.edit_angle,'Value',obj.Angle) obj.angle2word(obj.Angle) end if obj.IsEnable==1 set(handles.Toggle_EnableGalvo,'String','Enable'); set(handles.Toggle_EnableGalvo,'BackgroundColor','green'); else set(handles.Toggle_EnableGalvo,'String','Disable'); set(handles.Toggle_EnableGalvo,'BackgroundColor',[.8 .8 .8]); end end function closeFigure(~,~) % gui2properties(); % obj.clear; Ask Keith delete(obj.GuiFigure); end %calculate word based on input angle function CalAngle(~,~) Angle=str2double(get(handles.edit_angle,'String')); if isnan(Angle) error('Enter a valid angle') end obj.angle2word(Angle); state=get(handles.Toggle_EnableGalvo,'Value'); % turn off the togglebutton if it is already on if state set(handles.Toggle_EnableGalvo,'Value',0); set(handles.Toggle_EnableGalvo,'BackgroundColor',[0.8 0.8 0.8]);%,[0.6 0.8 0]) set(handles.Toggle_EnableGalvo,'String','Disable') end end %Callback function to set angle function setAngle_Button(~,~) Angle=str2double(get(handles.edit_angle,'String')); if isnan(Angle) error('Enter a valid angle') end obj.setAngle(); end %Callback function to set Sequence function setParameters_Button(~,~) %take Scanning Parameters N_Step=str2double(get(handles.edit_NoStepsPerScan,'String')); N_Scan=str2double(get(handles.edit_NoScan,'String')); StepSize=str2double(get(handles.edit_StepSize,'String')); Offset=str2double(get(handles.edit_Offset,'String')); if isnan(N_Step) || isnan(N_Scan)|| isnan(StepSize)|| isnan(Offset) error('Choose proper values for Scanning Parameters') end % set Scanning Parameters obj.N_Step=N_Step; obj.N_Scan=N_Scan; obj.StepSize=StepSize; obj.Offset=Offset; %set the sequence of Words to move the Galvo Mirror obj.setSequence(); end %Callback function for toggle button function ToggleGalvo(~,~) state=get(handles.Toggle_EnableGalvo,'Value'); % % N_Step=str2double(get(handles.edit_NoStepsPerScan,'String')); % N_Scan=str2double(get(handles.edit_NoScan,'String')); % StepSize=str2double(get(handles.edit_StepSize,'String')); % Offset=str2double(get(handles.edit_Offset,'String')); % % if isnan(N_Step) || isnan(N_Scan)|| isnan(StepSize)|| isnan(Offset) % error('Choose proper values for Scanning Parameters') % end if state % obj.Power=str2double(get(handles.SetPower,'String')); set(handles.Toggle_EnableGalvo,'BackgroundColor','green');%,[0.6 0.8 0]) set(handles.Toggle_EnableGalvo,'String','Enable') obj.enable(); else set(handles.Toggle_EnableGalvo,'BackgroundColor',[0.8 0.8 0.8]) set(handles.Toggle_EnableGalvo,'String','Disable') obj.disable(); end end end
github
LidkeLab/matlab-instrument-control-master
errorcheck.m
.m
matlab-instrument-control-master/@MIC_MCLNanoDrive/errorcheck.m
3,188
utf_8
2abc63fb57985d22013e75228d9714dc
function varargout = errorcheck(obj,fname,varargin) % certain errors throw variable error codes but are specific to axis controls, this is logical branch for that if obj.LastError ~= obj.ErrorCode.MCL_SUCCESS displayError(fname,varargin); end % Error check function for processing most of the MCL Nano Drive errors switch obj.LastError case obj.ErrorCode.MCL_SUCCESS % nest if statements for when we call this, not sure what % this needs to be yet switch fname case 'MCL_GetProductInfo' obj.ProductInfo.ADC_resolution=varargin{1}.ADC_resolution; obj.ProductInfo.DAC_resolution=varargin{1}.DAC_resolution; obj.ProductInfo.Product_id=varargin{1}.Product_id; obj.ProductInfo.FirmwareVersion=varargin{1}.FirmwareVersion; obj.ProductInfo.FirmwareProfile=varargin{1}.FirmwareProfile; case 'MCL_SingleWriteN' obj.Position(varargin{2}) = varargin{1}; end case obj.ErrorCode.MCL_GENERAL_ERROR error('Some Internal Sanity Check Failed'); case obj.ErrorCode.MCL_DEV_ERROR error('A problem occurred when transferring data to the Nano-Drive'); case obj.ErrorCode.MCL_DEV_NOT_ATTACHED error('The Nano-Drive cannot complete the task because it is not attached.'); case obj.ErrorCode.MCL_USAGE_ERROR error('This library function is not supported by this particular Nano-Drive'); case obj.ErrorCode.MCL_DEV_NOT_READY error('The Nano-Drive is currently completing or waiting to complete another task'); case obj.ErrorCode.MCL_ARGUMENT_ERROR error('An argument is out of range or a required pointer is equal to NULL'); case obj.ErrorCode.MCL_INVALID_AXIS varargout{1} = 'Invalid Axis'; % axis returns as invalid warning('The Attempted operation on this axis does not exist in the Nano-Drive'); case obj.ErrorCode.MCL_INVALID_HANDLE error('The handle is not valid, or at least not in this instance of the DLL'); case obj.ErrorCode.MCL_MISC switch fname case 'MCL_InitHandle' error('MCLNanoDrive:NoHandle','Cannot get a handle to the device. Make sure device is on. If on, try ''MCLNanoDrive.libreset'''); case 'MCL_CorrectDriverVersion' warning('MCLNanoDriveStage:WrongDLL','DLL in use does not match the current driver version'); end otherwise switch fname case 'MCL_GetCalibration' varargout{1} = obj.LastError; % return correct axis values obj.LastError = 0; end end end % I had to make a static function because sometimes MCL will throw variable error codes for a single command function displayError(fname,varargin) switch fname case 'MCL_SingleWriteN' switch varargin{2} case 1 dimChar = X; case 2 dimChar = Y; case 3 dimChar = Z; end disp(obj.LastError); error('MCLNanoDrive:MoveFailed','Could not move to new %s position',dimChar); end end
github
LidkeLab/matlab-instrument-control-master
gui.m
.m
matlab-instrument-control-master/@MIC_SPTCollect/gui.m
23,826
utf_8
efd104ecb8670653062f168d48d398c1
function gui(obj) % GUI SRcollect Gui for TIRF microscope % Detailed explanation goes here h = findall(0,'tag','TIRF-SRcollect.gui'); if ~(isempty(h)) figure(h); return; end %% xsz=400; ysz=1000; xst=100; yst=50; pw=.95; psep=.001; staticst=10; editst=110; guiFig = figure('Units','pixels','Position',[xst yst xsz ysz],... 'MenuBar','none','ToolBar','none','Visible','on',... 'NumberTitle','off','UserData',0,'Tag',... 'SPTCollect.gui','HandleVisibility','off','name','SPTcollect.gui','CloseRequestFcn',@FigureClose); defaultBackground = get(0,'defaultUicontrolBackgroundColor'); set(guiFig,'Color',defaultBackground); handles.output = guiFig; guidata(guiFig,handles); refh=1; % File Panel ph=0.09; php = ph*ysz; hFilePanel = uipanel('Parent',guiFig,'Title','FILE','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String', 'Save Directory:','Enable','off','Position', [staticst php-40 100 20]); handles.Edit_FileDirectory = uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','Set Auto','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-40 250 20]); uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String', 'Base FileName:','Enable','off','Position', [staticst php-65 100 20]); handles.Edit_FileName = uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','Set Auto','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-65 250 20]); uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','File type:','Enable','off','Position', [staticst php-90 100 20]); handles.saveFileType = uicontrol('Parent',hFilePanel, 'Style', 'popupmenu', 'String',{'.mat','.h5'},'Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-90 250 20],'CallBack',@saveFile); % Camera Panel ph=0.17; php = ph*ysz; hCameraPanel = uipanel('Parent',guiFig,'Title','CAMERA','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Camera Gain:','Enable','off','Position', [staticst php-40 100 20]); handles.Popup_CameraGain = uicontrol('Parent',hCameraPanel, 'Style', 'popupmenu', 'String',{'Low (Alexa647)','High (FAP/FP)'},'Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-40 250 20],'CallBack',@gain_set); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Camera ROI:','Enable','off','Position', [staticst php-70 80 20]); ROIlist={'Full','Left','Right','Left Center','Right Center','Center Horizontally','Center Horizontally Half','128*16 Center','64*32 low right','64*32 low left','64*16 low right'}; handles.Popup_CameraROI = uicontrol('Parent',hCameraPanel, 'Style', 'popupmenu', 'String',ROIlist,'Enable','on','BackgroundColor',[1 1 1],'Position', [90 php-70 85 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','IRCamera ROI:','Enable','off','Position', [staticst+180 php-70 80 20]); ROIlist_IR={'Full','Center 350' ,'Center 256','Center 128'}; handles.Popup_IRCameraROI = uicontrol('Parent',hCameraPanel, 'Style', 'popupmenu', 'String',ROIlist_IR,'Enable','on','BackgroundColor',[1 1 1],'Position', [90+180 php-70 85 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Exp. Time Focus:','Enable','off','Position', [staticst php-100 100 20]); handles.Edit_CameraExpTimeFocusSet = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','0.01','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-100 50 20]); % uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Actual:','Enable','off','Position', [175 php-100 100 20]); % handles.Edit_CameraExpTimeFocusActual = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','','Enable','off','Position', [250 php-100 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','IRCamera Zoom:','Enable','off','Position', [staticst+180 php-100 100 20]); handles.Popup_CameraDispZoom_IR = uicontrol('Parent',hCameraPanel, 'Style','popupmenu','String',{'50%','100%','200%','400%','1000%'},'Value',2,'Enable','on','BackgroundColor',[1 1 1],'Position', [280 php-100 50 20],'CallBack',@zoom_set_IR); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Exp. Time Seq.:','Enable','off','Position', [staticst php-130 100 20]); handles.Edit_CameraExpTimeSeqSet = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','0.01','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-130 50 20],'CallBack',@sequence_set); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Actual:','Enable','off','Position', [175 php-130 100 20]); handles.Edit_CameraExpTimeSeqActual = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String',num2str(obj.CameraObj.SequenceCycleTime),'Enable','off','Position', [250 php-130 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Num Frames:','Enable','off','Position', [staticst php-160 100 20]); handles.Edit_CameraNumFrames = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','2000','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-160 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Zoom:','Enable','off','Position', [175 php-160 100 20]); handles.Popup_CameraDispZoom = uicontrol('Parent',hCameraPanel, 'Style','popupmenu','String',{'50%','100%','200%','400%','1000%'},'Value',4,'Enable','on',... 'BackgroundColor',[1 1 1],'Position', [250 php-160 50 20],'CallBack',@zoom_set); % Registration Panel ph=0.213; php = ph*ysz; hRegPanel = uipanel('Parent',guiFig,'Title','REGISTRATION','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hRegPanel, 'Style', 'edit', 'String','Exp. Time Reg.:','Enable','off','Position', [staticst php-40 100 20]); handles.Edit_RegExpTime = uicontrol('Parent',hRegPanel, 'Style', 'edit', ... 'String','0.01','Enable','on','BackgroundColor',[1 1 1],... 'Position', [editst php-40 50 20]); handles.Button_RegLoadRef=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Load Reference','Enable','on',... 'Position', [staticst php-70 100 20],'Callback',@LoadRef); handles.Edit_RegFileName = uicontrol('Parent',hRegPanel, 'Style', 'edit', ... 'String','File Name','Enable','on','BackgroundColor',[1 1 1],... 'Position', [editst php-70 250 20]); handles.Button_RegAlign=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Align','Enable','on','Position', ... [staticst php-100 80 20],'Callback',@Align); handles.Button_RegShowRef=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Show Reference','Enable','on','Position', ... [staticst+80 php-100 100 20],'Callback',@ShowRef); handles.Button_RegTakeCurrent=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Take Current','Enable','on','Position', ... [staticst+180 php-40 90 20],'Callback',@TakeCurrent); handles.Button_RegCenterStage=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Center Stage','Enable','on','Position', ... [staticst+270 php-40 90 20],'Callback',@CenterStage); handles.Button_RegTakeReference=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Take Reference','Enable','on','Position', ... [staticst+180 php-100 90 20],'Callback',@TakeReference); handles.Button_RegSaveReference=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Save Reference','Enable','on','Position', ... [staticst+270 php-100 90 20],'Callback',@SaveReference); BGh=100; handles.ButtonGroup_RegCollectType=uibuttongroup('Parent',hRegPanel, 'Position', [.02 (php-130-BGh+30)/php .96 BGh/php]); b1=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio', 'tag','None','String','No Registration','Enable','on','Position', [staticst BGh-30 250 20]); b2=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio','tag','Self', 'String','Align to Self (Takes/Saves Reference Image)','Enable','on','Position', [staticst BGh-60 250 20]); b3=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio','tag','Ref','String','Align to Reference','Enable','on','Position', [staticst BGh-90 250 20]); b4=uicontrol('Parent',handles.ButtonGroup_RegCollectType,'Style','text','String','Reg Camera Type','Position',[staticst+125 BGh-34 140 20]); b5 = uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'popupmenu', 'String',{'Andor Camera','IRCamera'},'Enable','on','BackgroundColor',[1 1 1],... 'Position', [staticst+240 BGh-30 100 20],'CallBack',@RegCamType_set); b6=uicontrol('Parent',handles.ButtonGroup_RegCollectType,'Style','text','String','Active Stabilization','Position',[staticst+125 BGh-94 210 20]); b7=uicontrol('Parent',handles.ButtonGroup_RegCollectType,'Style', 'checkbox', 'Value',0,'Position', [staticst+165 BGh-90 15 20],'Callback',@ActiveStabilization); % LIGHTSOURCE Panel ph=0.3; hLampPanel = uipanel('Parent',guiFig,'Title','LIGHT SOURCE','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol(hLampPanel,'Style','text','String','On during Focus',... 'Position',[-3 240,60,25]); uicontrol(hLampPanel,'Style','text','String','On during Aquisition',... 'Position',[-3 180,60,28]); uicontrol(hLampPanel,'Style','text','String','Low Power',... 'Position',[0 120,60,25]); uicontrol(hLampPanel,'Style','text','String','High Power',... 'Position',[0 70,60,25]); uicontrol(hLampPanel,'Style','text','String','[MinPower,MaxPower]',... 'Position',[-1 5,60,35]); h561Panel=uipanel(hLampPanel,'Title','561 nm','TitlePosition','centertop',... 'Position',[1/5 1/5 1/5 4/5]); handles.Focus561 = uicontrol(h561Panel,'Style','checkbox',... 'Value',0,'Position',[29 185 130 20]); handles.Aquisition561 = uicontrol(h561Panel,'Style','checkbox',... 'Value',0,'Position',[29 130 130 20]); handles.LP561 = uicontrol(h561Panel,'Style','edit',... 'Position',[21 80 30 20],'Callback',@setLaser561Low); handles.HP561 = uicontrol(h561Panel,'Style','edit',... 'Position',[21 25 30 20]); % powerString561 = sprintf('[%g, %g] (%s)',obj.Laser561Obj.MinPower,obj.Laser561Obj.MaxPower, obj.Laser561.PowerUnit); % uicontrol(hLampPanel,'Style','text','String',powerString561,... % 'Position',[75, 5,60,35]); h638Panel=uipanel(hLampPanel,'Title','638 nm','TitlePosition','centertop',... 'Position',[2/5 1/5 1/5 4/5]); handles.Focus638 = uicontrol(h638Panel,'Style','checkbox',... 'Value',0,'Position',[29 185 130 20]); handles.Aquisition638 = uicontrol(h638Panel,'Style','checkbox',... 'Value',0,'Position',[29 130 130 20]); handles.LP638 = uicontrol(h638Panel,'Style','edit',... 'Position',[21 80 30 20],'Callback',@setLaser638Low); handles.HP638 = uicontrol(h638Panel,'Style','edit',... 'Position',[21 25 30 20]); powerString638 = sprintf('[%g, %g] (%s)',obj.Laser638Obj.MinPower,obj.Laser638Obj.MaxPower, obj.Laser638Obj.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString638,... 'Position',[160 5,60,35]); hlamp850Panel=uipanel(hLampPanel,'Title','Lamp 850 nm','TitlePosition','centertop',... 'Position',[3/5 1/5 1/5 4/5]); handles.Focuslamp850 = uicontrol(hlamp850Panel,'Style','checkbox',... 'Value',0,'Position',[29 185 130 20]); handles.Aquisitionlamp850 = uicontrol(hlamp850Panel,'Style','checkbox',... 'Value',0,'Position',[29 130 130 20]); handles.LED850lLampPower = uicontrol(hlamp850Panel,'Style','edit',... 'Position',[21 80 30 20],'Callback',@setLamp850Power); powerString850 = sprintf('[%g, %g] (%s)',obj.Lamp850Obj.MinPower,obj.Lamp850Obj.MaxPower, obj.Lamp850Obj.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString850,... 'Position',[235 5,60,35]); hX71Panel=uipanel(hLampPanel,'Title','Lamp','TitlePosition','centertop',... 'Position',[4/5 1/5 1/5 4/5]); handles.FocusIX71Lamp = uicontrol(hX71Panel,'Style','checkbox',... 'Value',0,'Position',[29 185 130 20]); handles.AquisitionIX71Lamp = uicontrol(hX71Panel,'Style','checkbox',... 'Value',0,'Position',[29 130 130 20]); handles.IX71LampPower = uicontrol(hX71Panel,'Style','edit',... 'Position',[21 80 30 20],'Callback',@setLampPower); powerStringLamp = sprintf('[%g, %g] (%s)',obj.LampObj.MinPower,obj.LampObj.MaxPower, obj.LampObj.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerStringLamp,... 'Position',[310 5,60,35]); % CONTROL Panel ph=0.190; hControlPanel = uipanel('Parent',guiFig,'Title','CONTROL','Position',[(1-pw)/2 refh-ph-psep pw ph]); php = ph*ysz; uicontrol('Parent',hControlPanel, 'Style', 'edit', 'String','Number of Sequences:','Enable','off','Position', [staticst php-40 150 20]); handles.Edit_ControlNSequence = uicontrol('Parent',hControlPanel, 'Style', 'edit', 'String','20','Enable','on','BackgroundColor',[1 1 1],'Position', [editst+50 php-40 50 20]); handles.Button_ControlFocusLamp=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Lamp','Enable','on','Position', [staticst php-90 103 35],'BackgroundColor',[1 1 .8],'Callback',@FocusLamp); handles.Button_ControlFocusLaserLow=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Laser (Low)','Enable','on','Position', [staticst+123 php-90 103 35],'BackgroundColor',[1 .8 .8],'Callback',@FocusLow); handles.Button_ControlFocusLamp850=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Lamp 850','Enable','on','Position', [staticst+246 php-90 103 35],'BackgroundColor',[1 1 .8],'Callback',@FocusLamp850); handles.Toggle_LaserLamp=uicontrol('Parent',hControlPanel, 'Style', 'toggle', 'String','Lamp','Enable','on','Position', [staticst php-138 103 35],'BackgroundColor',[1 1 .8],'Callback',@ToggleLamp); handles.Button_ControlStart=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','START (SR)','Enable','on','Position', [staticst php-186 103 35],'BackgroundColor',[0 1 0],'Callback',@Start); handles.Button_ControlFocusLaserHigh=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Laser (High)','Enable','on','Position', [staticst+123 php-138 103 35],'BackgroundColor',[1 0 0],'Callback',@FocusHigh); handles.Button_ControlAbort=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','ABORT','Enable','on','Position', [staticst+123 php-186 103 35],'BackgroundColor',[1 0 1],'Callback',@Abort); handles.Button_ControlStart_SPT=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','START (SPT+SR)','Enable','on','Position', [staticst+246 php-186 103 35],'BackgroundColor',[0 1 0],'Callback',@Start_SPT); %% Setup GUI Values properties2gui(); %% Figure Callbacks function saveFile(~,~) file_val=get(handles.saveFileType,'value'); switch file_val case 1 obj.SaveFileType='mat'; case 2 obj.SaveFileType='h5'; end end function LoadRef(~,~) obj.loadref(); set(handles.Edit_RegFileName,'String',obj.R3DObj.RefImageFile); end function Align(~,~) gui2properties(); obj.align(); end function ShowRef(~,~) obj.showref(); end function TakeCurrent(~,~) gui2properties(); obj.takecurrent(); end function CenterStage(~,~) obj.StageObj.center(); end function TakeReference(~,~) gui2properties(); obj.takeref(); end function SaveReference(~,~) obj.saveref(); properties2gui(); end function ToggleLamp(~,~) gui2properties(); stateLamp1=get(handles.Toggle_LaserLamp,'Value'); if stateLamp1 obj.LampObj.setPower(obj.LampPower); obj.LampObj.on; else obj.LampObj.off; % pause(obj.LampWait); end end function FocusLamp(~,~) gui2properties(); obj.focusLamp(); end function FocusLamp850(~,~) gui2properties(); obj.focusLamp850(); end function FocusLow(~,~) gui2properties(); obj.focusLow(); end function FocusHigh(~,~) gui2properties(); obj.focusHigh(); end function Abort(~,~) obj.AbortNow=1; set(handles.Button_ControlStart, 'String','START (SR)','Enable','on'); set(handles.Button_ControlStart_SPT, 'String','START (SPT+SR)','Enable','on'); end function Start(~,~) gui2properties(); [temp status]=obj.CameraObj.call_temperature if status==2 error('Camera is cooling down! Please wait for a few mintues!') end set(handles.Button_ControlStart, 'String','Acquiring','Enable','off'); obj.sequenceType='SRCollect'; obj.StartSequence(handles); set(handles.Button_ControlStart, 'String','START (SR)','Enable','on'); end function Start_SPT(~,~) gui2properties(); [temp status]=obj.CameraObj.call_temperature if status==2 error('Camera is cooling down! Please wait for a few mintues!') end set(handles.Button_ControlStart, 'String','Acquiring','Enable','off'); obj.sequenceType='Tracking+SRCollect'; obj.StartSequence(handles); set(handles.Button_ControlStart, 'String','START (SPT+SR)','Enable','on'); end function setLampPower(~,~) gui2properties(); obj.setLampPower(); end function setLamp850Power(~,~) gui2properties(); obj.setLampPower(); end function setLaser561Low(~,~) obj.Laser561Obj.setPower(str2double(handles.LP561.String)); end function setLaser638Low(~,~) obj.Laser638Obj.setPower(str2double(handles.LP638.String)); end function FigureClose(~,~) gui2properties(); delete(guiFig); end function zoom_set(~,~) zoom_val = get(handles.Popup_CameraDispZoom,'Value'); switch zoom_val case 1 obj.CameraObj.DisplayZoom = 0.5; case 2 obj.CameraObj.DisplayZoom = 1; case 3 obj.CameraObj.DisplayZoom = 2; case 4 obj.CameraObj.DisplayZoom = 4; case 5 obj.CameraObj.DisplayZoom = 10; end end function zoom_set_IR(~,~) zoom_val = get(handles.Popup_CameraDispZoom_IR,'Value'); switch zoom_val case 1 obj.IRCameraObj.DisplayZoom = 0.5; case 2 obj.IRCameraObj.DisplayZoom = 1; case 3 obj.IRCameraObj.DisplayZoom = 2; case 4 obj.IRCameraObj.DisplayZoom = 4; case 5 obj.IRCameraObj.DisplayZoom = 10; end end function gain_set(~,~) gain_val=get(handles.Popup_CameraGain,'value'); switch gain_val case 1 obj.CameraEMGainHigh=100; case 2 obj.CameraEMGainHigh=200; end end function RegCamType_set(~,~) RegCamType=get(b5,'Value'); switch RegCamType case 1 obj.RegCamType='Andor Camera'; case 2 obj.RegCamType='IRCamera'; end obj.set_RegCamType(); end function ActiveStabilization(~,~) obj.ActiveRegCheck=get(b7,'Value'); end function sequence_set(~,~) gui2properties(); obj.CameraObj.ExpTime_Sequence = obj.ExpTime_Sequence_Set; obj.CameraObj.AcquisitionType = 'sequence'; obj.CameraObj.setup_acquisition; set(handles.Edit_CameraExpTimeSeqActual,'String',num2str(obj.CameraObj.SequenceCycleTime)); end function gui2properties() %Get GUI values and update to object properties obj.SaveDir=get(handles.Edit_FileDirectory,'String'); obj.BaseFileName=get(handles.Edit_FileName,'String'); obj.CameraGain=get(handles.Popup_CameraGain,'value'); obj.CameraROI=get(handles.Popup_CameraROI,'value'); obj.IRCameraROI=get(handles.Popup_IRCameraROI,'value'); obj.ExpTime_Focus_Set=str2double(get(handles.Edit_CameraExpTimeFocusSet,'string')); obj.ExpTime_Sequence_Set=str2double(get(handles.Edit_CameraExpTimeSeqSet,'string')); obj.NumFrames=str2double(get(handles.Edit_CameraNumFrames,'string')); obj.R3DObj.ExposureTime=str2double(get(handles.Edit_RegExpTime,'string')); obj.R3DObj.RefImageFile=get(handles.Edit_RegFileName,'string'); obj.ActiveRegCheck=get(b7,'Value') obj.focus561Flag=get(handles.Focus561,'Value'); obj.focus638Flag=get(handles.Focus638,'Value'); obj.focusLampFlag=get(handles.FocusIX71Lamp,'Value'); obj.focusLamp850Flag=get(handles.Focuslamp850,'Value'); obj.Laser561Low=str2double(handles.LP561.String); obj.Laser638Low=str2double(handles.LP638.String); obj.Laser561High=str2double(handles.HP561.String); obj.Laser638High=str2double(handles.HP638.String); obj.LampPower=str2double(handles.IX71LampPower.String); obj.Lamp850Power=str2double(handles.LED850lLampPower.String); obj.Laser561Aq=handles.Aquisition561.Value; obj.Laser638Aq=handles.Aquisition638.Value; obj.LampAq=handles.AquisitionIX71Lamp.Value; obj.Lamp850Aq=handles.Aquisitionlamp850.Value; obj.NumSequences=str2double(get(handles.Edit_ControlNSequence,'string')); obj.RegType=get(get(handles.ButtonGroup_RegCollectType,'SelectedObject'),'Tag'); end function properties2gui() %Set GUI values from object properties set(handles.Edit_FileDirectory,'String',obj.SaveDir); set(handles.Edit_FileName,'String',obj.BaseFileName); set(handles.Popup_CameraGain,'value',obj.CameraGain); set(handles.Popup_CameraROI,'value',obj.CameraROI); set(handles.Popup_IRCameraROI,'value',obj.IRCameraROI); set(handles.Edit_CameraExpTimeFocusSet,'string',num2str(obj.ExpTime_Focus_Set)); set(handles.Edit_CameraExpTimeSeqSet,'string',num2str(obj.ExpTime_Sequence_Set)); % set(handles.Edit_RegExpTime,'string',num2str(obj.R3DObj.ExposureTime)); set(handles.Edit_CameraNumFrames,'string',num2str(obj.NumFrames)); % set(handles.Edit_RegFileName,'string',obj.R3DObj.RefImageFile); if strcmp(obj.RegCamType,'Andor Camera') v=1; elseif strcmp(obj.RegCamType,'IRCamera') v=2; end set(b5,'value',v); set(b7,'value',obj.ActiveRegCheck); set(handles.LP561,'string',obj.Laser561Low); set(handles.LP638,'string',obj.Laser638Low); set(handles.HP561,'string',obj.Laser561High); set(handles.HP638,'string',obj.Laser638High); set(handles.IX71LampPower,'string',obj.LampPower); set(handles.LED850lLampPower,'string',obj.Lamp850Power); set(handles.Focus561,'value',obj.focus561Flag); set(handles.Focus638,'value',obj.focus638Flag); set(handles.FocusIX71Lamp,'value',obj.focusLampFlag); set(handles.Focuslamp850,'value',obj.focusLamp850Flag); set(handles.Edit_ControlNSequence,'string',num2str(obj.NumSequences)); set(handles.Edit_CameraExpTimeSeqActual,'String',num2str(obj.CameraObj.SequenceCycleTime)); switch obj.RegType case 'None' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b1); case 'Self' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b2); case 'Ref' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b3); end end end
github
LidkeLab/matlab-instrument-control-master
setCamProperties.m
.m
matlab-instrument-control-master/@MIC_AndorCamera/setCamProperties.m
5,290
utf_8
00353ba3ce9c36d6a6457121019fb226
function setCamProperties(obj,CamSetting) %SETCAMERAPROPERTIES Summary of this function goes here % in: a duplicate CameraSetting structure to be checked and set % this function sets the camera properties on the camera so that what you % select on the gui is committed to the API obj.ReadyForAcq=0; %obj.CameraParameters=in; % ADChannel; % Amp; % BaselineClamp; % Cooler; % Fan; % HSSpeed; % PreAmpGain; % Shutter; % Trigger; % VSAmplitudes; % VSSpeed; % VerShiftVoltage; setCamSDK(obj,CamSetting); obj.get_parameters; obj.ReadyForAcq=1; end function setCamSDK(obj,CamSetting) % sub function to set the property given the input field, works on case by case basis! % all of these are copied and pasted from other legacy code so variables % will have to be renamed shortly! camFields = fields(CamSetting); debug = false; for ii=1:length(camFields) switch (camFields{ii}) case 'ManualShutter' obj.CameraSetting.ManualShutter.Bit = CamSetting.ManualShutter.Bit; case 'EMGain' obj.LastError = SetEMCCDGain(CamSetting.EMGain.Value); obj.errorcheck('SetEMCCDGain'); obj.CameraSetting.EMGain.Value=CamSetting.EMGain.Value; if debug % check low level behavior [obj.LastError,EMGainVal] = GetEMCCDGain; disp(['Check EMGain: set ', num2str(CamSetting.EMGain.Value),' , get ' num2str(EMGainVal)]); end case 'ADChannel' obj.LastError = SetADChannel(CamSetting.ADChannel.Bit); obj.errorcheck('SetADChannel'); obj.CameraSetting.ADChannel.Bit=CamSetting.ADChannel.Bit; if debug % check low level behavior disp(['Check ADChannel: set ', CamSetting.ADChannel.Desc]); end case 'Amp' obj.LastError = SetOutputAmplifier(CamSetting.Amp.Bit); obj.errorcheck('SetOutputAmplifier'); obj.CameraSetting.Amp.Bit=CamSetting.Amp.Bit; if debug % check low level behavior disp(['Check Amp: set ', CamSetting.Amp.Desc]); end case 'HSSpeed' AmpBit = CamSetting.Amp.Bit; obj.LastError = SetHSSpeed(AmpBit,CamSetting.HSSpeed.Bit); obj.errorcheck('SetHSSpeed'); obj.CameraSetting.HSSpeed.Bit=CamSetting.HSSpeed.Bit; if debug % check low level behavior disp(['Check HSSpeed: set ', CamSetting.HSSpeed.Desc]); end case 'BaselineClamp' obj.LastError = SetBaselineClamp(CamSetting.BaselineClamp.Bit); obj.errorcheck('SetBaselineClamp'); obj.CameraSetting.BaselineClamp.Bit=CamSetting.BaselineClamp.Bit; if debug % check low level behavior disp(['Check BaselineClamp: set ', CamSetting.BaselineClamp.Desc]); end case 'Cooler' obj.LastError = SetCoolerMode(CamSetting.Cooler.Bit); obj.errorcheck('SetCoolerMode'); obj.CameraSetting.Cooler.Bit=CamSetting.Cooler.Bit; case 'Fan' obj.LastError = SetFanMode(CamSetting.Fan.Bit); obj.errorcheck('SetFanMode'); obj.CameraSetting.Fan.Bit=CamSetting.Fan.Bit; case 'PreAmpGain' obj.LastError = SetPreAmpGain(CamSetting.PreAmpGain.Bit); obj.errorcheck('SetPreAmpGain'); obj.CameraSetting.PreAmpGain.Bit=CamSetting.PreAmpGain.Bit; case 'Shutter' % obj.LastError = SetShutter(value.typ{1},value.mode{1},... % value.closingtime,value.openingtime); % obj.errorcheck('SetShutter'); % Set Shutter to Auto (1) or Manual (0) obj.CameraSetting.ManualShutter.Bit = CamSetting.ManualShutter.Bit; case 'Trigger' obj.LastError=SetTriggerMode(CamSetting.Trigger.Bit); % Set trigger mode; 0 for Internal obj.errorcheck('SetTriggerMode'); obj.CameraSetting.Trigger.Bit=CamSetting.Trigger.Bit; if debug % check low level behavior disp(['Check Trigger: set ', CamSetting.Trigger.Desc]); end case 'VSAmplitude' % this is the vertical shift voltage! obj.LastError = SetVSAmplitude(CamSetting.VSAmplitude.Bit); obj.errorcheck('SetVSAmplitude'); obj.CameraSetting.VSAmplitude.Bit=CamSetting.VSAmplitude.Bit; if debug % check low level behavior disp(['Check VSAmplitude: set ', CamSetting.VSAmplitude.Desc]); end case 'VSSpeed' obj.LastError = SetVSSpeed(CamSetting.VSSpeed.Bit); obj.errorcheck('SetVSSpeed'); obj.CameraSetting.VSSpeed.Bit=CamSetting.VSSpeed.Bit; if debug % check low level behavior disp(['Check VSSpeed: set ', CamSetting.VSSpeed.Desc]); end case 'FrameTransferMode' obj.LastError = SetFrameTransferMode(CamSetting.FrameTransferMode.Bit); obj.errorcheck('SetFrameTransferMode'); obj.CameraSetting.FrameTransferMode.Bit=CamSetting.FrameTransferMode.Bit; end end end
github
LidkeLab/matlab-instrument-control-master
gui.m
.m
matlab-instrument-control-master/@MIC_RB_PSFEng/gui.m
17,913
utf_8
3ffb4d357fa8f7872686a894b1cd3210
function gui( obj ) %GUI Gui for MIC_RB_PSFEng class % Detailed explanation goes here %Prevent opening more than one figure for same instrument if ishandle(obj.GuiFigure) guiFig = obj.GuiFigure; figure(obj.GuiFigure); return end %Open figure guiFig = figure('NumberTitle','off','Resize','off','Units','pixels','MenuBar','none',... 'ToolBar','none','Visible','on', 'Position',[70 600 450 400]); % Create a property based on GuiFigure obj.GuiFigure = guiFig; obj.GuiFigure.Name = sprintf('%s', obj.InstrumentName); %Prevent closing after a 'close' or 'close all' obj.GuiFigure.HandleVisibility='off'; %Save Propeties upon close obj.GuiFigure.CloseRequestFcn = @closeFigure; %Mouse scroll wheel callback obj.GuiFigure.WindowScrollWheelFcn = @wheel; % Laser control minPower=obj.Laser642.MinPower; maxPower=obj.Laser642.MaxPower; unitPower=obj.Laser642.PowerUnit; % File name and save dir handles.FilePanel = uipanel(guiFig,'Title','File','FontSize',8,... 'Units','Pixels','Position',[10 280 210 120]); uicontrol(handles.FilePanel,'Style','text','String','Save Directory',... 'Position',[5,85,130,15],'FontSize',8,'HorizontalAlignment','left'); handles.editSaveDir = uicontrol(handles.FilePanel,'Style','edit',... 'Position',[5,65,200,20],'FontSize',8); uicontrol(handles.FilePanel,'Style','text','String','File name',... 'Position',[5,50,130,15],'FontSize',8,'HorizontalAlignment','left'); handles.editFileName = uicontrol(handles.FilePanel,'Style','edit',... 'Position',[5,30,200,20],'FontSize',8); uicontrol(handles.FilePanel,'Style','text','String','Save type',... 'Position',[5,5,130,15],'FontSize',8,'HorizontalAlignment','left'); handles.editSaveType = uicontrol(handles.FilePanel,'Style','popup','String',... {'mat','h5'},'Position',[75,5,100,20],'FontSize',8); % laser control handles.LaserPanel = uipanel(guiFig,'Title','Laser','FontSize',8,... 'Units','Pixels','Position',[10 210 210 70]); uicontrol(handles.LaserPanel,'Style','text','String',... ['Power limits ' num2str(minPower) ' - ' num2str(maxPower) ' ' unitPower],... 'Position',[5,35,130,15],'FontSize',8,'HorizontalAlignment','left'); uicontrol(handles.LaserPanel,'Style','text','String','Set Power',... 'Position',[5,10,60,15],'FontSize',8,'HorizontalAlignment','left'); handles.SetLaserPower = uicontrol(handles.LaserPanel,'Style','edit',... 'Position',[70 10,60,15],'FontSize',8,'Callback',@setPower); handles.Toggle_Laser=uicontrol(handles.LaserPanel,'Style','togglebutton',... 'String','Off','Position',[150,10,40,40],... 'BackgroundColor',[0.8 0.8 0.8],'Tag','LaserPowerButton','Callback',@toggleLaser); % Camera control handles.CameraPanel = uipanel(guiFig,'Title','Camera','FontSize',8,... 'Units','Pixels','Position',[10 10 210 200]); handles.CamFocus = uicontrol(handles.CameraPanel,'Style','pushbutton',... 'String','Focus','Position',[5,5,50,30],'FontSize',8,'Callback',@focusCamera); handles.CamFocusWithI = uicontrol(handles.CameraPanel,'Style','pushbutton',... 'String','Focus with Intensity feedback','Position',[60,5,145,30],'FontSize',8,'Callback',@focusCameraWithFeedback); uicontrol(handles.CameraPanel,'Style','text','String',... 'ROI','Position',[5,165,50,15],'FontSize',8,'HorizontalAlignment','left'); handles.CamROIpopup = uicontrol(handles.CameraPanel,'Style','popup','String',... {'center 128','center 256','center 512','center 1024','full'},... 'Position', [60 165 130 15],'FontSize',8,'Callback',@setROI); uicontrol(handles.CameraPanel,'Style','text','String',... 'Zoom','Position',[5,135,50,15],'FontSize',8,'HorizontalAlignment','left'); handles.CamZoom_popup = uicontrol(handles.CameraPanel,'Style','popupmenu',... 'String',{'50%','100%','200%','400%','1000%'},'Value',4,... 'Position', [60 135 130 15],'FontSize',8,'CallBack',@setZoom); uicontrol(handles.CameraPanel,'Style','text','String',... 'Acquisition time (s)','Position',[5,100,100,15],'FontSize',8,... 'HorizontalAlignment','left'); handles.CamAcqTime = uicontrol(handles.CameraPanel,'Style','edit',... 'Position',[120,100,70,15],'FontSize',8,'Tag','CamAcqEdit',... 'Callback',@setAcqTime); % Piezo control handles.PiezoPanel = uipanel(guiFig,'Title','Piezo','FontSize',8,... 'Units','Pixels','Position',[230 300 210 100]); minPos=obj.Piezo.MinPosition; maxPos=obj.Piezo.MaxPosition; posUnit=obj.Piezo.PositionUnit; fineStepFrac = 0.01; coarseStepFrac = 0.1; fineStep = (maxPos-minPos)*fineStepFrac; coarseStep = (maxPos-minPos)*coarseStepFrac; % slider sliderVertPos = 50; sliderLeft = 40; sliderWidth = 130; sliderHeight = 20; handles.sliderPosition=uicontrol(handles.PiezoPanel,'Style','slider','Min',minPos,... 'Max',maxPos,'Value',minPos,'SliderStep',[fineStepFrac fineStepFrac],... 'Position', [sliderLeft sliderVertPos sliderWidth sliderHeight],... 'Tag','positionSlider','Callback',@positionSlider); handles.sliderPosition.KeyPressFcn = @sliderKey; uicontrol(handles.PiezoPanel,'Style','text','String',... [num2str(minPos),' ',posUnit],'Position',... [sliderLeft+15 sliderVertPos+25,30,12],'HorizontalAlignment','left',... 'FontSize',8); uicontrol(handles.PiezoPanel,'Style','text','String',... [num2str(maxPos),' ',posUnit],'Position',... [sliderLeft+80 sliderVertPos+25,40,12],'HorizontalAlignment','left',... 'FontSize',8); uicontrol(handles.PiezoPanel,'Style','text','String','F','Position',... [sliderLeft sliderVertPos+25,10,12],'HorizontalAlignment','left',... 'FontSize',8); uicontrol(handles.PiezoPanel,'Style','text','String','F','Position',... [sliderLeft+sliderWidth-10 sliderVertPos+25,10,12],'HorizontalAlignment','left',... 'FontSize',8); % coarse buttons jogHeight = sliderVertPos; handles.buttonJogDown = uicontrol(handles.PiezoPanel,'Style','pushbutton','String','<',... 'Position',[sliderLeft-25 jogHeight,20,sliderHeight],'FontSize',16,'Callback',@jogDown); handles.buttonJogUp = uicontrol(handles.PiezoPanel,'Style','pushbutton','String','>',... 'Position',[sliderLeft+sliderWidth+5 jogHeight,20,sliderHeight],'FontSize',16,'Callback',@jogUp); uicontrol(handles.PiezoPanel,'Style','text','String','C','Position',... [sliderLeft-20 sliderVertPos+25,10,12],'HorizontalAlignment','left',... 'FontSize',8); uicontrol(handles.PiezoPanel,'Style','text','String','C','Position',... [sliderLeft+sliderWidth+10 sliderVertPos+25,10,12],'HorizontalAlignment','left',... 'FontSize',8); % set step size and position uicontrol(handles.PiezoPanel,'Style','text','String','Step size Fine','Position',... [5 sliderVertPos-20,90,12],'HorizontalAlignment','left',... 'FontSize',8); handles.editFineStep = uicontrol(handles.PiezoPanel,'Style','edit',... 'Position',[80,sliderVertPos-22,30,15],'FontSize',8,... 'String',num2str(fineStep),'Callback',@setFineStepSize); uicontrol(handles.PiezoPanel,'Style','text','String','Coarse','Position',... [125 sliderVertPos-20,40,12],'HorizontalAlignment','left',... 'FontSize',8); handles.editCoarseStep = uicontrol(handles.PiezoPanel,'Style','edit',... 'Position',[170,sliderVertPos-22,30,15],'FontSize',8,... 'String',num2str(coarseStep)); uicontrol(handles.PiezoPanel,'Style','text','String','Set position','Position',... [5 sliderVertPos-45,90,12],'HorizontalAlignment','left',... 'FontSize',8); handles.editPosition = uicontrol(handles.PiezoPanel,'Style','edit',... 'Position',[80,sliderVertPos-48,60,15],'FontSize',8,'Callback',@setPosition); % set SLM handles.SLMPanel = uipanel(guiFig,'Title','SLM','FontSize',8,... 'Units','Pixels','Position',[230 160 210 140]); handles.calPupilPos = uicontrol(handles.SLMPanel,'Style','pushbutton',... 'String','Cal Pupil Position','Position',[5,5,100,30],'FontSize',8,'Callback',@calPupilPos); handles.optimPSF = uicontrol(handles.SLMPanel,'Style','pushbutton',... 'String','Optimize PSF','Position',[105,5,100,30],'FontSize',8,'Callback',@optimPupil); uicontrol(handles.SLMPanel,'Style','text','String','# zernike coef to optimize',... 'Position',[5,40,150,15],'FontSize',8); handles.editNumCoef = uicontrol(handles.SLMPanel,'Style','edit','String','13',... 'Position',[160,40,40,15],'FontSize',8); % acquire PSF handles.AcqPanel = uipanel(guiFig,'Title','Acquire PSF','FontSize',8,... 'Units','Pixels','Position',[230 10 210 150]); uicontrol(handles.AcqPanel,'Style','text','String','Z range ([min step max])',... 'Position',[5,110,140,15],'FontSize',8,'HorizontalAlignment','left'); handles.editZrange = uicontrol(handles.AcqPanel,'Style','edit','String','-1 0.25 1',... 'Position',[140,110,60,15],'FontSize',8,'HorizontalAlignment','center'); uicontrol(handles.AcqPanel,'Style','text','String','Frames per Z position',... 'Position',[5,90,140,15],'FontSize',8,'HorizontalAlignment','left'); handles.editNumFrames = uicontrol(handles.AcqPanel,'Style','edit','String','100',... 'Position',[140,90,60,15],'FontSize',8,'HorizontalAlignment','center'); handles.startZstack = uicontrol(handles.AcqPanel,'Style','pushbutton',... 'String','Start','Position',[5,5,60,30],'FontSize',8,... 'Callback',@startZstack); % Initialize GUI properties properties2gui(); % Change some defaults handles.CamROIpopup.Value = 1; handles.CamZoom_popup.Value = 4; handles.CamAcqTime.String = '0.01'; handles.SetLaserPower.String = 1; gui2properties(); %% callback functions function closeFigure(~,~) gui2properties(); delete(obj.GuiFigure); end function properties2gui() % update gui with object properties % laser handles.SetLaserPower.String = obj.Laser642.Power; set(handles.Toggle_Laser,'Value',obj.Laser642.IsOn); if obj.Laser642.IsOn==1 set(handles.Toggle_Laser,'String','On'); set(handles.Toggle_Laser,'BackgroundColor','red'); else set(handles.Toggle_Laser,'String','Off'); set(handles.Toggle_Laser,'BackgroundColor',[.8 .8 .8]); end % camera handles.CamAcqTime.String = obj.Camera.ExpTime_Focus; % piezo if isempty(obj.Piezo.CurrentPosition) || isnan(obj.Piezo.CurrentPosition) obj.Piezo.getPosition; end handles.sliderPosition.Value = obj.Piezo.CurrentPosition; handles.editPosition.String = num2str(obj.Piezo.CurrentPosition); end function gui2properties() setPower(); setROI(); setZoom(); setAcqTime(); end function setPower(~,~) textValue=str2double(get(handles.SetLaserPower,'String')); if textValue > obj.Laser642.MaxPower || isnan(textValue) error('Choose a number for Power between [MinPower,MaxPower]'); end obj.Laser642.setPower(textValue); end function toggleLaser(~,~) state=get(handles.Toggle_Laser,'Value'); if state obj.Laser642.on(); set(handles.Toggle_Laser,'BackgroundColor','red'); set(handles.Toggle_Laser,'String','On') else set(handles.Toggle_Laser,'BackgroundColor',[0.8 0.8 0.8]) set(handles.Toggle_Laser,'String','Off') obj.Laser642.off(); end end function focusCamera(~,~) obj.Laser642.on(); obj.Camera.start_focus; obj.Laser642.off(); end function focusCameraWithFeedback(~,~) obj.Laser642.on(); obj.Camera.start_focusWithFeedback; obj.Laser642.off(); end function setROI(~,~) roi_val = handles.CamROIpopup.Value; switch roi_val % given as [Xstart Xend Ystart Yend] case 1 ROI=[961 1088 961 1088];% center 128 case 2 ROI=[897 1152 897 1152];% center 256 case 3 ROI=[769 1280 769 1280];% center 512 case 4 ROI=[513 1536 513 1536]; % center 1024 case 5 ROI=[1 2048 1 2048]; % full 2048 end obj.Camera.ROI = ROI; end function setZoom(~,~) zoom_val = handles.CamZoom_popup.Value; switch zoom_val case 1 % 50% obj.Camera.DisplayZoom = 0.5; case 2 % 100% obj.Camera.DisplayZoom = 1; case 3 % 200% obj.Camera.DisplayZoom = 2; case 4 % 400% obj.Camera.DisplayZoom = 4; case 5 % 1000% obj.Camera.DisplayZoom = 10; end end function setAcqTime(~,~) Value=str2double(get(handles.CamAcqTime,'String')); obj.Camera.ExpTime_Capture = Value; obj.Camera.ExpTime_Focus = Value; obj.Camera.ExpTime_Sequence = Value; end function positionSlider(~,~) Value=handles.sliderPosition.Value; obj.Piezo.setPosition(Value) handles.editPosition.String = num2str(Value); end function jogUp(~,~) stepSize = str2double(handles.editCoarseStep.String); newPos = obj.Piezo.CurrentPosition + stepSize; if newPos > obj.Piezo.MaxPosition warning('Position outside range, moving to maximum position') newPos = obj.Piezo.MaxPosition; end obj.Piezo.setPosition(newPos); properties2gui() end function jogDown(~,~) stepSize = str2double(handles.editCoarseStep.String); newPos = obj.Piezo.CurrentPosition - stepSize; if newPos < obj.Piezo.MinPosition warning('Position outside range, moving to minimum position') newPos = obj.Piezo.MinPosition; end obj.Piezo.setPosition(newPos); properties2gui() end function setFineStepSize(~,~) stepSize=str2double(handles.editFineStep.String); stepPercent = stepSize/(obj.Piezo.MaxPosition-obj.Piezo.MinPosition); handles.sliderPosition.SliderStep = [stepPercent stepPercent]; end function setPosition(~,~) Value=str2double(handles.editPosition.String); if Value < obj.Piezo.MinPosition warning('MIC_LinearStage_Abstract:GuiInvPos',... 'Invalid Position (%i %s) Position cannot be smaller then %i %s, moving to minimum position',... Value, obj.Piezo.PositionUnit, obj.Piezo.MinPosition, obj.Piezo.PositionUnit); Value = obj.Piezo.MinPosition; end if Value > obj.Piezo.MaxPosition warning('MIC_LinearStage_Abstract:GuiInvPos',... 'Invalid Position (%i %s) Position cannot be larger then %i %s, moving to maximum position',... Value, obj.Piezo.PositionUnit, obj.Piezo.MaxPosition, obj.Piezo.PositionUnit); Value = obj.Piezo.MaxPosition; end obj.Piezo.setPosition(Value) handles.sliderPosition.Value = Value; end function wheel(~,Event) point = guiFig.CurrentPoint; % check whether mouse is over slider if point(1) < sliderLeft || point(1) > sliderLeft+sliderWidth ... || point(2) < sliderBottom || point(2) > sliderVertPos+sliderHeight return end stepSize = str2double(handles.editCoarseJog.String); step = Event.VerticalScrollCount*-stepSize; newPos = obj.Piezo.CurrentPosition + step; if newPos < obj.Piezo.MinPosition || newPos > obj.Piezo.MaxPosition return end obj.Piezo.setPosition(newPos); properties2gui() end function calPupilPos(~,~) obj.calibratePupilPosition(); end function optimPupil(~,~) NumCoef = str2double(handles.editNumCoef.String); obj.optimizePupil(NumCoef); end function startZstack(~,~) % get save info SaveDir = handles.editSaveDir.String; FileName = handles.editFileName.String; SaveType = handles.editSaveType.String{handles.editSaveType.Value}; TimeStamp = datestr(clock,'yyyy-mm-dd-HH-MM-SS'); % get z range info ZrangeStr = handles.editZrange.String; idx = strfind(ZrangeStr,' '); Zrange = [str2double(ZrangeStr(1:idx(1)-1)),... str2double(ZrangeStr(idx(1)+1:idx(2)-1)),... str2double(ZrangeStr(idx(2)+1:end))]; z0=obj.Piezo.CurrentPosition; z = Zrange(1):Zrange(2):Zrange(3); dataset=[]; %Setup Camera obj.Camera.SequenceLength=str2double(handles.editNumFrames.String); obj.Camera.AcquisitionType = 'sequence'; obj.Camera.setup_acquisition; %Collect obj.Laser642.on(); pause(.25); for ii=1:length(z) obj.Piezo.setPosition(z0+z(ii)) pause(.1); sequence=obj.Camera.start_sequence(); dataset=cat(4,dataset,sequence); end %Turn off Laser and reset Piezo obj.Laser642.off(); obj.Piezo.setPosition(z0); % show data dipshow(permute(squeeze(mean(dataset,3)),[2,1,3])); % save data switch SaveType case 'mat' Params.Camera = obj.Camera.exportState(); Params.Piezo = obj.Piezo.exportState(); Params.Laser642 = obj.Laser642.exportState(); Params.SLM = obj.SLM.exportState(); Params.Zrange = Zrange; Params.NA=obj.NA; Params.RefrIdx=obj.RefrIdx; Params.Fobjective=obj.Fobjective; Params.SLMangle = obj.SLMangle; Params.PixelSize = obj.PixelSize; Params.ZCoefOptimized = obj.ZCoefOptimized; %#ok<STRNU> save(fullfile(SaveDir,[FileName '#' TimeStamp '.mat']),'dataset','Params'); case 'h5' warning('no h5 saving yet') end end end
github
LidkeLab/matlab-instrument-control-master
gui.m
.m
matlab-instrument-control-master/@MIC_TIRF_SRcollect/gui.m
21,009
utf_8
93650b7a3e977f739c1540ff8e7a8970
function gui(obj) % GUI SRcollect Gui for TIRF microscope % Detailed explanation goes here h = findall(0,'tag','TIRF-SRcollect.gui'); if ~(isempty(h)) figure(h); return; end %% xsz=400; ysz=1060; xst=100; yst=100; pw=.95; psep=.001; staticst=10; editst=110; guiFig = figure('Units','pixels','Position',[xst yst xsz ysz],... 'MenuBar','none','ToolBar','none','Visible','on',... 'NumberTitle','off','UserData',0,'Tag',... 'TIRF-SRcollect.gui','HandleVisibility','off','name','SRcollect.gui','CloseRequestFcn',@FigureClose); defaultBackground = get(0,'defaultUicontrolBackgroundColor'); set(guiFig,'Color',defaultBackground); handles.output = guiFig; guidata(guiFig,handles); refh=1; % File Panel ph=0.09; php = ph*ysz; hFilePanel = uipanel('Parent',guiFig,'Title','FILE','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String', 'Save Directory:','Enable','off','Position', [staticst php-40 100 20]); handles.Edit_FileDirectory = uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','Set Auto','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-40 250 20]); uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String', 'Base FileName:','Enable','off','Position', [staticst php-65 100 20]); handles.Edit_FileName = uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','Set Auto','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-65 250 20]); uicontrol('Parent',hFilePanel, 'Style', 'edit', 'String','File type:','Enable','off','Position', [staticst php-90 100 20]); handles.saveFileType = uicontrol('Parent',hFilePanel, 'Style', 'popupmenu', 'String',{'.mat','.h5'},'Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-90 250 20],'CallBack',@saveFile); % Camera Panel ph=0.17; php = ph*ysz; hCameraPanel = uipanel('Parent',guiFig,'Title','CAMERA','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Camera Gain:','Enable','off','Position', [staticst php-40 100 20]); handles.Popup_CameraGain = uicontrol('Parent',hCameraPanel, 'Style', 'popupmenu', 'String',{'Low (Alexa647)','High (FAP/FP)'},'Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-40 250 20],'CallBack',@gain_set); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Camera ROI:','Enable','off','Position', [staticst php-70 100 20]); ROIlist={'Full','Left','Right','Left Center','Right Center','Center Horizontally','Left Top','Left Bottom','Right Top','Right Bottom','Top','Bottom','Center256'}; handles.Popup_CameraROI = uicontrol('Parent',hCameraPanel, 'Style', 'popupmenu', 'String',ROIlist,'Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-70 250 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Exp. Time Focus:','Enable','off','Position', [staticst php-100 100 20]); handles.Edit_CameraExpTimeFocusSet = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','0.01','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-100 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Actual:','Enable','off','Position', [175 php-100 100 20]); handles.Edit_CameraExpTimeFocusActual = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','','Enable','off','Position', [250 php-100 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Exp. Time Seq.:','Enable','off','Position', [staticst php-130 100 20]); handles.Edit_CameraExpTimeSeqSet = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','0.01','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-130 50 20],'CallBack',@sequence_set); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Actual:','Enable','off','Position', [175 php-130 100 20]); handles.Edit_CameraExpTimeSeqActual = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String',num2str(obj.CameraObj.SequenceCycleTime),'Enable','off','Position', [250 php-130 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Num Frames:','Enable','off','Position', [staticst php-160 100 20]); handles.Edit_CameraNumFrames = uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','2000','Enable','on','BackgroundColor',[1 1 1],'Position', [editst php-160 50 20]); uicontrol('Parent',hCameraPanel, 'Style', 'edit', 'String','Zoom:','Enable','off','Position', [175 php-160 100 20]); handles.Popup_CameraDispZoom = uicontrol('Parent',hCameraPanel, 'Style','popupmenu','String',{'50%','100%','200%','400%','1000%'},'Value',4,'Enable','on','BackgroundColor',[1 1 1],'Position', [250 php-160 50 20],'CallBack',@zoom_set); % Registration Panel ph=0.213; php = ph*ysz; hRegPanel = uipanel('Parent',guiFig,'Title','REGISTRATION','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol('Parent',hRegPanel, 'Style', 'edit', 'String','Exp. Time Reg.:','Enable','off','Position', [staticst php-40 100 20]); handles.Edit_RegExpTime = uicontrol('Parent',hRegPanel, 'Style', 'edit', ... 'String','0.01','Enable','on','BackgroundColor',[1 1 1],... 'Position', [editst php-40 50 20]); handles.Button_RegLoadRef=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Load Reference','Enable','on',... 'Position', [staticst php-70 100 20],'Callback',@LoadRef); handles.Edit_RegFileName = uicontrol('Parent',hRegPanel, 'Style', 'edit', ... 'String','File Name','Enable','on','BackgroundColor',[1 1 1],... 'Position', [editst php-70 250 20]); handles.Button_RegAlign=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Align','Enable','on','Position', ... [staticst php-100 80 20],'Callback',@Align); handles.Button_RegShowRef=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Show Reference','Enable','on','Position', ... [staticst+80 php-100 100 20],'Callback',@ShowRef); handles.Button_RegTakeCurrent=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Take Current','Enable','on','Position', ... [staticst+180 php-40 90 20],'Callback',@TakeCurrent); handles.Button_RegCenterStage=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Center Stage','Enable','on','Position', ... [staticst+270 php-40 90 20],'Callback',@CenterStage); handles.Button_RegTakeReference=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton',... 'String','Take Reference','Enable','on','Position', ... [staticst+180 php-100 90 20],'Callback',@TakeReference); handles.Button_RegSaveReference=uicontrol('Parent',hRegPanel, 'Style', 'pushbutton', ... 'String','Save Reference','Enable','on','Position', ... [staticst+270 php-100 90 20],'Callback',@SaveReference); BGh=100; handles.ButtonGroup_RegCollectType=uibuttongroup('Parent',hRegPanel, 'Position', [.02 (php-130-BGh+30)/php .96 BGh/php]); b1=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio', 'tag','None','String','No Registration','Enable','on','Position', [staticst BGh-30 250 20]); b2=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio','tag','Self', 'String','Align to Self (Takes/Saves Reference Image)','Enable','on','Position', [staticst BGh-60 250 20]); b3=uicontrol('Parent',handles.ButtonGroup_RegCollectType, 'Style', 'radio','tag','Ref','String','Align to Reference','Enable','on','Position', [staticst BGh-90 250 20]); % LIGHTSOURCE Panel ph=0.3; hLampPanel = uipanel('Parent',guiFig,'Title','LIGHT SOURCE','Position',[(1-pw)/2 refh-ph-psep pw ph]); refh=refh-ph-psep; uicontrol(hLampPanel,'Style','text','String','On during Focus',... 'Position',[-3 240,60,25]); uicontrol(hLampPanel,'Style','text','String','On during Aquisition',... 'Position',[-3 180,60,28]); uicontrol(hLampPanel,'Style','text','String','Low Power',... 'Position',[0 120,60,25]); uicontrol(hLampPanel,'Style','text','String','High Power',... 'Position',[0 70,60,25]); uicontrol(hLampPanel,'Style','text','String','[MinPower,MaxPower]',... 'Position',[-1 5,60,35]); h405Panel=uipanel(hLampPanel,'Title','405 nm','Position',[1/6 1/6 1/6 5/6]); handles.Focus405 = uicontrol(h405Panel,'Style','checkbox',... 'Value',0,'Position',[23 190 130 20]); handles.Aquisition405 = uicontrol(h405Panel,'Style','checkbox',... 'Value',0,'Position',[23 130 130 20]); handles.LP405 = uicontrol(h405Panel,'Style','edit',... 'Position',[15 80 30 20],'Callback',@setLaser405Low); handles.HP405 = uicontrol(h405Panel,'Style','edit',... 'Position',[15 25 30 20]); powerString405 = sprintf('[%g, %g] (%s)',obj.Laser405.MinPower,obj.Laser405.MaxPower, obj.Laser405.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString405,... 'Position',[64, 5,60,35]); h488Panel=uipanel(hLampPanel,'Title','488 nm','Position',[2/6 1/6 1/6 5/6]); handles.Focus488 = uicontrol(h488Panel,'Style','checkbox',... 'Value',0,'Position',[23 190 130 20]); handles.Aquisition488 = uicontrol(h488Panel,'Style','checkbox',... 'Value',0,'Position',[23 130 130 20]); handles.LP488 = uicontrol(h488Panel,'Style','edit',... 'Position',[15 80 30 20],'Callback',@setLaser488Low); handles.HP488 = uicontrol(h488Panel,'Style','edit',... 'Position',[15 25 30 20]); powerString488 = sprintf('[%g, %g] (%s)',obj.Laser488.MinPower,obj.Laser488.MaxPower, obj.Laser488.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString488,... 'Position',[125 5,60,35]); h561Panel=uipanel(hLampPanel,'Title','561 nm','Position',[3/6 1/6 1/6 5/6]); handles.Focus561 = uicontrol(h561Panel,'Style','checkbox',... 'Value',0,'Position',[23 190 130 20]); handles.Aquisition561 = uicontrol(h561Panel,'Style','checkbox',... 'Value',0,'Position',[23 130 130 20]); handles.LP561 = uicontrol(h561Panel,'Style','edit',... 'Position',[15 80 30 20],'Callback',@setLaser561Low); handles.HP561 = uicontrol(h561Panel,'Style','edit',... 'Position',[15 25 30 20]); powerString561 = sprintf('[%g, %g] (%s)',obj.Laser561.MinPower,obj.Laser561.MaxPower, obj.Laser561.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString561,... 'Position',[190 5,60,35]); h642Panel=uipanel(hLampPanel,'Title','642 nm','Position',[4/6 1/6 1/6 5/6]); handles.Focus642 = uicontrol(h642Panel,'Style','checkbox',... 'Value',0,'Position',[23 190 130 20]); handles.Aquisition642 = uicontrol(h642Panel,'Style','checkbox',... 'Value',0,'Position',[23 130 130 20]); handles.LP642 = uicontrol(h642Panel,'Style','edit',... 'Position',[15 80 30 20],'Callback',@setLaser642Low); handles.HP642 = uicontrol(h642Panel,'Style','edit',... 'Position',[15 25 30 20]); powerString642 = sprintf('[%g, %g] (%s)',obj.Laser642.MinPower,obj.Laser642.MaxPower, obj.Laser642.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerString642,... 'Position',[250 5,60,35]); hX71Panel=uipanel(hLampPanel,'Title','Lamp','Position',[5/6 1/6 1/6 5/6]); handles.FocusIX71Lamp = uicontrol(hX71Panel,'Style','checkbox',... 'Value',0,'Position',[23 190 130 20]); handles.AquisitionIX71Lamp = uicontrol(hX71Panel,'Style','checkbox',... 'Value',0,'Position',[23 130 130 20]); handles.IX71LampPower = uicontrol(hX71Panel,'Style','edit',... 'Position',[15 80 30 20],'Callback',@SetLampPower); powerStringLamp = sprintf('[%g, %g] (%s)',obj.LampObj.MinPower,obj.LampObj.MaxPower, obj.LampObj.PowerUnit); uicontrol(hLampPanel,'Style','text','String',powerStringLamp,... 'Position',[315 5,60,35]); % CONTROL Panel ph=0.190; hControlPanel = uipanel('Parent',guiFig,'Title','CONTROL','Position',[(1-pw)/2 refh-ph-psep pw ph]); php = ph*ysz; uicontrol('Parent',hControlPanel, 'Style', 'edit', 'String','Number of Sequences:','Enable','off','Position', [staticst php-40 150 20]); handles.Edit_ControlNSequence = uicontrol('Parent',hControlPanel, 'Style', 'edit', 'String','20','Enable','on','BackgroundColor',[1 1 1],'Position', [editst+50 php-40 50 20]); handles.Button_ControlFocusLamp=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Lamp','Enable','on','Position', [staticst php-90 150 40],'BackgroundColor',[1 1 .8],'Callback',@FocusLamp); handles.Button_ControlFocusLaserLow=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Laser (Low)','Enable','on','Position', [staticst+200 php-90 150 40],'BackgroundColor',[1 .8 .8],'Callback',@FocusLow); handles.Toggle_LaserLamp=uicontrol('Parent',hControlPanel, 'Style', 'toggle', 'String','Lamp','Enable','on','Position', [staticst php-138 150 40],'BackgroundColor',[1 1 .8],'Callback',@ToggleLamp); handles.Button_ControlStart=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','START','Enable','on','Position', [staticst php-175 150 30],'BackgroundColor',[0 1 0],'Callback',@Start); handles.Button_ControlFocusLaserHigh=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','Focus Laser (High)','Enable','on','Position', [staticst+200 php-138 150 40],'BackgroundColor',[1 0 0],'Callback',@FocusHigh); handles.Button_ControlAbort=uicontrol('Parent',hControlPanel, 'Style', 'pushbutton', 'String','ABORT','Enable','on','Position', [staticst+200 php-175 150 30],'BackgroundColor',[1 0 1],'Callback',@Abort); %% Setup GUI Values properties2gui(); %% Figure Callbacks function saveFile(~,~) file_val=get(handles.saveFileType,'value'); switch file_val case 1 obj.SaveFileType='mat'; case 2 obj.SaveFileType='h5'; end end function LoadRef(~,~) obj.loadref(); set(handles.Edit_RegFileName,'String',obj.R3DObj.RefImageFile); end function Align(~,~) gui2properties(); obj.align(); end function ShowRef(~,~) obj.showref(); end function TakeCurrent(~,~) gui2properties(); obj.takecurrent(); end function CenterStage(~,~) obj.StageObj.center(); end function TakeReference(~,~) gui2properties(); obj.takeref(); end function SaveReference(~,~) obj.saveref(); properties2gui(); end function ToggleLamp(~,~) gui2properties(); stateLamp1=get(handles.Toggle_LaserLamp,'Value'); if stateLamp1 obj.LampObj.setPower(obj.LampPower); obj.LampObj.on; else obj.LampObj.off; % pause(obj.LampWait); end end function FocusLamp(~,~) gui2properties(); obj.focusLamp(); end function FocusLow(~,~) gui2properties(); obj.focusLow(); end function FocusHigh(~,~) gui2properties(); obj.focusHigh(); end function Abort(~,~) obj.AbortNow=1; set(handles.Button_ControlStart, 'String','START','Enable','on'); end function Start(~,~) gui2properties(); set(handles.Button_ControlStart, 'String','Acquiring','Enable','off'); obj.StartSequence(handles); set(handles.Button_ControlStart, 'String','START','Enable','on'); end function SetLampPower(~,~) gui2properties(); obj.setLampPower(); end function setLaser405Low(~,~) obj.Laser405.setPower(str2double(handles.LP405.String)); end function setLaser488Low(~,~) obj.Laser405.setPower(str2double(handles.LP488.String)); end function setLaser561Low(~,~) obj.Laser405.setPower(str2double(handles.LP561.String)); end function setLaser642Low(~,~) obj.Laser405.setPower(str2double(handles.LP642.String)); end function FigureClose(~,~) gui2properties(); delete(guiFig); end function zoom_set(~,~) zoom_val = get(handles.Popup_CameraDispZoom,'Value'); switch zoom_val case 1 obj.CameraObj.DisplayZoom = 0.5; case 2 obj.CameraObj.DisplayZoom = 1; case 3 obj.CameraObj.DisplayZoom = 2; case 4 obj.CameraObj.DisplayZoom = 4; case 5 obj.CameraObj.DisplayZoom = 10; end end function gain_set(~,~) gain_val=get(handles.Popup_CameraGain,'value'); switch gain_val case 1 obj.CameraEMGainHigh=100; case 2 obj.CameraEMGainHigh=200; end end function sequence_set(~,~) gui2properties(); obj.CameraObj.ExpTime_Sequence = obj.ExpTime_Sequence_Set; obj.CameraObj.AcquisitionType = 'sequence'; obj.CameraObj.setup_acquisition; set(handles.Edit_CameraExpTimeSeqActual,'String',num2str(obj.CameraObj.SequenceCycleTime)); end function gui2properties() %Get GUI values and update to object properties obj.SaveDir=get(handles.Edit_FileDirectory,'String'); obj.BaseFileName=get(handles.Edit_FileName,'String'); obj.CameraGain=get(handles.Popup_CameraGain,'value'); obj.CameraROI=get(handles.Popup_CameraROI,'value'); obj.ExpTime_Focus_Set=str2double(get(handles.Edit_CameraExpTimeFocusSet,'string')); obj.ExpTime_Sequence_Set=str2double(get(handles.Edit_CameraExpTimeSeqSet,'string')); obj.NumFrames=str2double(get(handles.Edit_CameraNumFrames,'string')); obj.R3DObj.ExposureTime=str2double(get(handles.Edit_RegExpTime,'string')); obj.R3DObj.RefImageFile=get(handles.Edit_RegFileName,'string'); obj.focus405Flag=get(handles.Focus405,'Value'); obj.focus488Flag=get(handles.Focus488,'Value'); obj.focus561Flag=get(handles.Focus561,'Value'); obj.focus642Flag=get(handles.Focus642,'Value'); obj.focusLampFlag=get(handles.FocusIX71Lamp,'Value'); obj.Laser405Low=str2double(handles.LP405.String); obj.Laser488Low=str2double(handles.LP488.String); obj.Laser561Low=str2double(handles.LP561.String); obj.Laser642Low=str2double(handles.LP642.String); obj.Laser405High=str2double(handles.HP405.String); obj.Laser488High=str2double(handles.HP488.String); obj.Laser561High=str2double(handles.HP561.String); obj.Laser642High=str2double(handles.HP642.String); obj.LampPower=str2double(handles.IX71LampPower.String); obj.Laser405Aq=handles.Aquisition405.Value; obj.Laser488Aq=handles.Aquisition488.Value; obj.Laser561Aq=handles.Aquisition561.Value; obj.Laser642Aq=handles.Aquisition642.Value; obj.LampAq=handles.AquisitionIX71Lamp.Value; obj.NumSequences=str2double(get(handles.Edit_ControlNSequence,'string')); obj.RegType=get(get(handles.ButtonGroup_RegCollectType,'SelectedObject'),'Tag'); end function properties2gui() %Set GUI values from object properties set(handles.Edit_FileDirectory,'String',obj.SaveDir); set(handles.Edit_FileName,'String',obj.BaseFileName); set(handles.Popup_CameraGain,'value',obj.CameraGain); set(handles.Popup_CameraROI,'value',obj.CameraROI); set(handles.Edit_CameraExpTimeFocusSet,'string',num2str(obj.ExpTime_Focus_Set)); set(handles.Edit_CameraExpTimeSeqSet,'string',num2str(obj.ExpTime_Sequence_Set)); set(handles.Edit_RegExpTime,'string',num2str(obj.R3DObj.ExposureTime)); set(handles.Edit_CameraNumFrames,'string',num2str(obj.NumFrames)); set(handles.Edit_RegFileName,'string',obj.R3DObj.RefImageFile); set(handles.LP405,'string',obj.Laser405Low); set(handles.LP488,'string',obj.Laser488Low); set(handles.LP561,'string',obj.Laser561Low); set(handles.LP642,'string',obj.Laser642Low); set(handles.HP405,'string',obj.Laser405High); set(handles.HP488,'string',obj.Laser488High); set(handles.HP561,'string',obj.Laser561High); set(handles.HP642,'string',obj.Laser642High); set(handles.IX71LampPower,'string',obj.LampPower); set(handles.Focus405,'value',obj.focus405Flag); set(handles.Focus488,'value',obj.focus488Flag); set(handles.Focus561,'value',obj.focus561Flag); set(handles.Focus642,'value',obj.focus642Flag); set(handles.FocusIX71Lamp,'value',obj.focusLampFlag); set(handles.Edit_ControlNSequence,'string',num2str(obj.NumSequences)); set(handles.Edit_CameraExpTimeSeqActual,'String',num2str(obj.CameraObj.SequenceCycleTime)); switch obj.RegType case 'None' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b1); case 'Self' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b2); case 'Ref' set(handles.ButtonGroup_RegCollectType,'SelectedObject',b3); end end end
github
vaibhavjoshi16/Matlab-solver-for-adaptive-two-phase-flows-master
coarsening.m
.m
Matlab-solver-for-adaptive-two-phase-flows-master/coarsening.m
5,050
utf_8
19e7e1fc6bd780ce0690c5302041ffbf
function [Sol,eta] = coarsening(Sol,eta,theta) % COARSENING coarsens the current mesh % % USAGE % [Sol,eta] = coarsening(Sol,eta,theta) % % INPUT % Sol: current mesh data % eta: error indicator for each triangle % theta: parameter in (0,1). % We mark minimal number of triangles M such that % \sum_{T \in M} \eta_T < \theta*\sum\eta_T % % OUTPUT % Sol: new mesh data after coarsening % eta: new error indicator for each triangle % % NOTE % Only one level coarsening % % REFERENCE % AFEM@matlab Manual --> Algorithms --> Coarsening % % L. Chen & C. Zhang 11-15-2006 % Modified by Vaibhav Joshi, Rajeev K. Jaiman %-------------------------------------------------------------------------- % Construct data structure %-------------------------------------------------------------------------- N = size(Sol.node,1); NT = size(Sol.elem,1); dualEdge = sparse(Sol.elem(:,[1,2,3]),Sol.elem(:,[2,3,1]),[1:NT,1:NT,1:NT]); valence = accumarray(Sol.elem(:),ones(3*NT,1),[N 1]); eta_p = accumarray(Sol.elem(:),[eta;eta;eta],[N 1]); %-------------------------------------------------------------------------- % Mark nodes for coarsen %-------------------------------------------------------------------------- total = sum(eta_p); maxeta = max(eta_p); current = 0; marker = uint8(zeros(N,1)); newestNode = unique(Sol.elem(:,1)); % newest vertices of all elements coarseNode = find(Sol.type==1); % nodes in the initial triangulation newestNode = setdiff(newestNode,coarseNode); isGood = (valence(newestNode) == 2) | (valence(newestNode) == 4); goodNode = newestNode(isGood); % A node is called 'good' if it can be removed without breaking the mesh % comformity. A node is 'good' if and only if % 0. it is not a node of marco elements in the initial triangluation; % 1. it is the newest node in each of the elements with it as a node; % 2. if it is an interior node, the valence is 4; % 3. if it is on the boundary, the valence is 2. [temp,ix] = sort(eta_p(goodNode)); for i = 1:length(goodNode) p = goodNode(ix(i)); if (eta_p(p) > 0.2*maxeta), break; end % only coarsen where error small if (current + eta_p(p) > theta*total), break; end marker(p) = 1; % mark p to be removed Sol.type(p) = 0; % node p is non active now current = current + eta_p(p); end if (sum(marker)==0), return; end % no node can be coarsened %-------------------------------------------------------------------------- % Coarsen the mesh by removing marked nodes %-------------------------------------------------------------------------- for t = 1:NT if (Sol.elem(t,1)>0) % otherwise t is already deleted p = Sol.elem(t,1); if (marker(p)==1) % p is a marked good point brother = dualEdge(Sol.elem(t,2),p); Sol.elem(t,1) = Sol.elem(t,2); Sol.elem(t,2) = Sol.elem(t,3); Sol.elem(t,3) = Sol.elem(brother,2); Sol.elem(brother,1) = 0; % brother is going to be deleted eta(t) = eta(t) + eta(brother); % new eta = eta_t + eta_brother end % endif for all markd good nodes end end % end of for loop on all elements %-------------------------------------------------------------------------- % Clear element and eta arrarys %-------------------------------------------------------------------------- ix = (Sol.elem(:,1) == 0); Sol.elem(ix,:) = []; eta(ix,:) = []; %-------------------------------------------------------------------------- % Update boundary edges %-------------------------------------------------------------------------- markedNode = goodNode((marker(goodNode)==1)&(valence(goodNode)==2)); Sol.Dirichlet = updatebd(Sol.Dirichlet, markedNode); Sol.Neumann = updatebd(Sol.Neumann, markedNode); %-------------------------------------------------------------------------- % End of function COARSENING %-------------------------------------------------------------------------- %-------------------------------------------------------------------------- % Sub functions called by COARSENING %-------------------------------------------------------------------------- function bdEdge = updatebd(bdEdge, markedNode) % UPDATEDBD coarsen the boundary edges % % USAGE % bdEdge = updatebd(bdEdge, markedNode) % % INPUT % bdEdge: old boundary edges % markedNode: node marked for coarsening % % OUTPUT % bdEdge: new boundary edges after coarsening % if (isempty(bdEdge) || isempty(markedNode)), return; end NB = size(bdEdge,1); neig = sparse(bdEdge,ones(NB,1)*[2,1],[1:NB,1:NB]); % skeleton of edges around a node for k = 1: length(markedNode) i = neig(markedNode(k),1); j = neig(markedNode(k),2); % o --- i --- o --- j --- o % ^ % noActive(k) bdEdge(i,2) = bdEdge(j,2); bdEdge(j,1) = 0; end ix = (bdEdge(:,1)==0); bdEdge(ix,:) = []; %-------------------------------------------------------------------------- % End of function UPDATEDBD %--------------------------------------------------------------------------
github
vaibhavjoshi16/Matlab-solver-for-adaptive-two-phase-flows-master
bisection.m
.m
Matlab-solver-for-adaptive-two-phase-flows-master/bisection.m
11,047
utf_8
76f20349eeb792a7d8eaac98f42ee2a2
function [Sol,eta] = bisection(Sol,eta,theta) % BISECTION refines the triangulation using newest vertex bisection % % USAGE % [Sol,eta] = bisection(Sol,eta,theta) % % INPUT % Sol: current mesh data with all variable data % eta: error indicator for each triangle % theta: parameter in (0,1). % We mark minimal number of triangles M such that % \sum_{T \in M} \eta_T > \theta*\sum\eta_T % % OUTPUT % Sol: new mesh data with interpolated variable data after refinement % eta: new error indicator for each triangle % % REFERENCE % Long Chen, % Short bisection implementation in MATLAB % Research Notes, 2006 % % L. Chen & C. Zhang 11-12-2006 % % Modified by: Vaibhav Joshi, Rajeev K. Jaiman %-------------------------------------------------------------------------- % Construct data structure %-------------------------------------------------------------------------- edge = [Sol.elem(:,[1,2]); Sol.elem(:,[1,3]); Sol.elem(:,[2,3])]; edge = unique(sort(edge,2),'rows'); N = size(Sol.node,1); NT = size(Sol.elem,1); NE = size(edge,1); dualEdge = sparse(Sol.elem(:,[1,2,3]),Sol.elem(:,[2,3,1]),[1:NT,1:NT,1:NT]); d2p = sparse(edge(:,[1,2]),edge(:,[2,1]),[1:NE,1:NE]); % Detailed explanation can be founded at % Manual --> Data Structure --> Auxlliary data structure %-------------------------------------------------------------------------- % Meomery management for node arrary %-------------------------------------------------------------------------- recycle = find(Sol.type==0); last = length(recycle); % Coarsening can create empty spaces in the node array. We collect those % scattered spaces in recycle arrary and 'last' will point out the last % empty node index. % mesh.type array is used to distinguish the type of nodes: % 0: empty nodes (deleted by coarsening); % 1: nodes in the initial triangulation or nodes from regular refinement; % 2: new added nodes due to refinement; % 5: temporay node (will be deleted when bisection finished). %-------------------------------------------------------------------------- % Mark triangles according to the error indicator %-------------------------------------------------------------------------- total = sum(eta); current = 0; [temp,ix] = sort(-eta); % sort in descent order marker = zeros(NE,1); % initialize for possible new nodes Sol.node = [Sol.node; zeros(NE,2)]; Sol.type = [Sol.type; uint8(5*ones(NE,1))]; Sol.u = [Sol.u; zeros(NE,2)]; Sol.uPrev = [Sol.uPrev; zeros(NE,2)]; Sol.uAlpha = [Sol.uAlpha; zeros(NE,2)]; Sol.uDot = [Sol.uDot; zeros(NE,2)]; Sol.uDotPrev = [Sol.uDotPrev; zeros(NE,2)]; Sol.uDotAlpha = [Sol.uDotAlpha; zeros(NE,2)]; Sol.p = [Sol.p; zeros(NE,1)]; Sol.pPrev = [Sol.pPrev; zeros(NE,1)]; Sol.phi = [Sol.phi; zeros(NE,1)]; Sol.phiPrev = [Sol.phiPrev; zeros(NE,1)]; Sol.phiAlpha = [Sol.phiAlpha; zeros(NE,1)]; Sol.phiDot = [Sol.phiDot; zeros(NE,1)]; Sol.phiDotPrev = [Sol.phiDotPrev; zeros(NE,1)]; Sol.phiDotAlpha = [Sol.phiDotAlpha; zeros(NE,1)]; for t = 1:NT if (current > theta*total), break; end % est on marked elem big enough index = 1; ct = ix(t); while (index==1) base = d2p(Sol.elem(ct,2),Sol.elem(ct,3)); if (marker(base)>0) % base is already marked index = 0; else current = current + eta(ct); if (last==0) newNode = N + 1; N = N+1; end if (last>0) newNode = recycle(last); last = last-1; end marker( d2p(Sol.elem(ct,2),Sol.elem(ct,3)) ) = newNode; % A new node is added to the mesh. Numerical solution at this % new added node is approximated by linear interpolation. Type % of this node is 2 (generated by newest vertex bisection) Sol.node(newNode,:) = ( Sol.node(Sol.elem(ct,2),:) + ... Sol.node(Sol.elem(ct,3),:) )/2; Sol.u(newNode,1) = ( Sol.u(Sol.elem(ct,2),1) + ... Sol.u(Sol.elem(ct,3),1) )/2; Sol.uPrev(newNode,1) = ( Sol.uPrev(Sol.elem(ct,2),1) + ... Sol.uPrev(Sol.elem(ct,3),1) )/2; Sol.uAlpha(newNode,1) = ( Sol.uAlpha(Sol.elem(ct,2),1) + ... Sol.uAlpha(Sol.elem(ct,3),1) )/2; Sol.uDot(newNode,1) = ( Sol.uDot(Sol.elem(ct,2),1) + ... Sol.uDot(Sol.elem(ct,3),1) )/2; Sol.uDotPrev(newNode,1) = ( Sol.uDotPrev(Sol.elem(ct,2),1) + ... Sol.uDotPrev(Sol.elem(ct,3),1) )/2; Sol.uDotAlpha(newNode,1) = ( Sol.uDotAlpha(Sol.elem(ct,2),1) + ... Sol.uDotAlpha(Sol.elem(ct,3),1) )/2; Sol.u(newNode,2) = ( Sol.u(Sol.elem(ct,2),2) + ... Sol.u(Sol.elem(ct,3),2) )/2; Sol.uPrev(newNode,2) = ( Sol.uPrev(Sol.elem(ct,2),2) + ... Sol.uPrev(Sol.elem(ct,3),2) )/2; Sol.uAlpha(newNode,2) = ( Sol.uAlpha(Sol.elem(ct,2),2) + ... Sol.uAlpha(Sol.elem(ct,3),2) )/2; Sol.uDot(newNode,2) = ( Sol.uDot(Sol.elem(ct,2),2) + ... Sol.uDot(Sol.elem(ct,3),2) )/2; Sol.uDotPrev(newNode,2) = ( Sol.uDotPrev(Sol.elem(ct,2),2) + ... Sol.uDotPrev(Sol.elem(ct,3),2) )/2; Sol.uDotAlpha(newNode,2) = ( Sol.uDotAlpha(Sol.elem(ct,2),2) + ... Sol.uDotAlpha(Sol.elem(ct,3),2) )/2; Sol.p(newNode) = ( Sol.p(Sol.elem(ct,2)) + ... Sol.p(Sol.elem(ct,3)) )/2; Sol.pPrev(newNode) = ( Sol.pPrev(Sol.elem(ct,2)) + ... Sol.pPrev(Sol.elem(ct,3)) )/2; Sol.phi(newNode) = ( Sol.phi(Sol.elem(ct,2)) + ... Sol.phi(Sol.elem(ct,3)) )/2; Sol.phiPrev(newNode) = ( Sol.phiPrev(Sol.elem(ct,2)) + ... Sol.phiPrev(Sol.elem(ct,3)) )/2; Sol.phiAlpha(newNode) = ( Sol.phiAlpha(Sol.elem(ct,2)) + ... Sol.phiAlpha(Sol.elem(ct,3)) )/2; Sol.phiDot(newNode) = ( Sol.phiDot(Sol.elem(ct,2)) + ... Sol.phiDot(Sol.elem(ct,3)) )/2; Sol.phiDotPrev(newNode) = ( Sol.phiDotPrev(Sol.elem(ct,2)) + ... Sol.phiDotPrev(Sol.elem(ct,3)) )/2; Sol.phiDotAlpha(newNode) = ( Sol.phiDotAlpha(Sol.elem(ct,2)) + ... Sol.phiDotAlpha(Sol.elem(ct,3)) )/2; Sol.type(newNode) = 2; % Find the element which shares the base edge of the current % element. If it is 0, it means the base of the current element % is on the boundary. ct = dualEdge( Sol.elem(ct,3), Sol.elem(ct,2) ); if ( ct == 0 ), index = 0; end % the while will ended if % 1. ct==0 means we are on the boundary % 2. base(ct) is already marked end end % end while for recursive marking end % end of for loop on all elements % Detailed explanation of the algorithm can be found at % Manual --> Algorithms --> Bisection % delete possible empty entries ix = (Sol.type == 5); Sol.node(ix,:) = []; Sol.type(ix) = []; Sol.u(ix,:) = []; Sol.uPrev(ix,:) = []; Sol.uAlpha(ix,:) = []; Sol.uDot(ix,:) = []; Sol.uDotPrev(ix,:) = []; Sol.uDotAlpha(ix,:) = []; Sol.p(ix) = []; Sol.pPrev(ix) = []; Sol.phi(ix) = []; Sol.phiPrev(ix) = []; Sol.phiAlpha(ix) = []; Sol.phiDot(ix) = []; Sol.phiDotPrev(ix) = []; Sol.phiDotAlpha(ix) = []; %-------------------------------------------------------------------------- % Refine marked edges for each triangle %-------------------------------------------------------------------------- numnew = 2*sum(marker~=0); % number of new elements need to be added Sol.elem = [Sol.elem; zeros(numnew,3)]; eta = [eta; zeros(numnew,1)]; inew = NT + 1; % index for current new added right child for t = 1:NT base = d2p(Sol.elem(t,2),Sol.elem(t,3)); if (marker(base)>0) p = [Sol.elem(t,:), marker(base)]; % Case 1: divide the current marked triangle Sol.elem(t,:) = [p(4),p(1),p(2)]; % t is always a left child Sol.elem(inew,:) = [p(4),p(3),p(1)]; % new is a right child eta(t) = eta(t)/2; % update error indicators eta(inew) = eta(t); inew = inew + 1; % Case 2: divide the right child, different, careful!!! right = d2p(p(3),p(1)); if (marker(right)>0) Sol.elem(inew-1,:) = [marker(right),p(4),p(3)]; Sol.elem(inew,:) = [marker(right),p(1),p(4)]; eta(inew-1) = eta(inew-1)/2; eta(inew) = eta(inew-1); inew = inew + 1; end % Case 3: divide the left child, similar to the case 1. left = d2p(p(1),p(2)); if (marker(left)>0) Sol.elem(t,:) = [marker(left),p(4),p(1)]; Sol.elem(inew,:) = [marker(left),p(2),p(4)]; eta(t) = eta(t)/2; eta(inew) = eta(t); inew = inew + 1; end end % end of refinement of one element end % end of for loop on all elements % delete possible empty entries Sol.elem = Sol.elem(1:inew-1,:); eta = eta(1:inew-1,:); %-------------------------------------------------------------------------- % Update boundary edges %-------------------------------------------------------------------------- Sol.Dirichlet = updatebd(Sol.Dirichlet,marker,d2p); Sol.Neumann = updatebd(Sol.Neumann,marker,d2p); %-------------------------------------------------------------------------- % End of function BISECTION %-------------------------------------------------------------------------- %-------------------------------------------------------------------------- % Sub functions called by BISECTION %-------------------------------------------------------------------------- function bdEdge = updatebd(bdEdge,marker,d2p) % UPDATEDBD refine the boundary edges % % USAGE % bdEdge = updatebd(bdEdge,marker,d2p) % % INPUT % bdEdge: set of boundary edges % marker: new node index for marked edge % d2p: index mapping from dual edge to primary edge % % OUTPUT % bdEdge: set of refined boundary edges % NB = size(bdEdge,1); for k = 1:NB i = bdEdge(k,1); j = bdEdge(k,2); if (marker(d2p(i,j)) >0) bdEdge(k,:) = [i,marker(d2p(i,j))]; bdEdge(size(bdEdge,1)+1,:) = [marker(d2p(i,j)),j]; end end %-------------------------------------------------------------------------- % End of function UPDATEDBD %--------------------------------------------------------------------------
github
zheng-da/incubator-mxnet-master
callmxnet.m
.m
incubator-mxnet-master/matlab/+mxnet/private/callmxnet.m
1,666
utf_8
23c3a6783ce55cb2598391d3aa27cf4e
% Licensed to the Apache Software Foundation (ASF) under one % or more contributor license agreements. See the NOTICE file % distributed with this work for additional information % regarding copyright ownership. The ASF licenses this file % to you under the Apache License, Version 2.0 (the % "License"); you may not use this file except in compliance % with the License. You may obtain a copy of the License at % % http://www.apache.org/licenses/LICENSE-2.0 % % Unless required by applicable law or agreed to in writing, % software distributed under the License is distributed on an % "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY % KIND, either express or implied. See the License for the % specific language governing permissions and limitations % under the License. function callmxnet(func, varargin) %CALLMXNET call mxnet functions if ~libisloaded('libmxnet') cur_pwd = pwd; mxnet_root = [fileparts(mfilename('fullpath')), '/../../../']; cd(mxnet_root); mxnet_root = pwd; cd(cur_pwd); assert(exist([mxnet_root, '/lib/libmxnet.so' ], 'file') == 2 || ... exist([mxnet_root, '/lib/libmxnet.dylib'], 'file') == 2 || ... exist([mxnet_root, '/lib/libmxnet.dll' ], 'file') == 2, ... 'you need to build mxnet first'); assert(exist([mxnet_root, '/include/mxnet/c_predict_api.h']) == 2, ... 'failed to find c_predict_api.h') addpath([mxnet_root, '/lib']) addpath([mxnet_root, '/include/mxnet']) [err, warn] = loadlibrary('libmxnet', 'c_predict_api.h'); assert(isempty(err)); if warn, warn, end end assert(ischar(func)) ret = calllib('libmxnet', func, varargin{:}); assert(ret == 0) end
github
zheng-da/incubator-mxnet-master
parse_json.m
.m
incubator-mxnet-master/matlab/+mxnet/private/parse_json.m
19,881
utf_8
9cd6f452886def83ecf848d78f2e903a
% Licensed to the Apache Software Foundation (ASF) under one % or more contributor license agreements. See the NOTICE file % distributed with this work for additional information % regarding copyright ownership. The ASF licenses this file % to you under the Apache License, Version 2.0 (the % "License"); you may not use this file except in compliance % with the License. You may obtain a copy of the License at % % http://www.apache.org/licenses/LICENSE-2.0 % % Unless required by applicable law or agreed to in writing, % software distributed under the License is distributed on an % "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY % KIND, either express or implied. See the License for the % specific language governing permissions and limitations % under the License. function data = parse_json(fname,varargin) %PARSE_JSON parse a JSON (JavaScript Object Notation) file or string % % Based on jsonlab (https://github.com/fangq/jsonlab) created by Qianqian Fang. Jsonlab is lisonced under BSD or GPL v3. global pos inStr len esc index_esc len_esc isoct arraytoken if(regexp(fname,'^\s*(?:\[.+\])|(?:\{.+\})\s*$','once')) string=fname; elseif(exist(fname,'file')) try string = fileread(fname); catch try string = urlread(['file://',fname]); catch string = urlread(['file://',fullfile(pwd,fname)]); end end else error('input file does not exist'); end pos = 1; len = length(string); inStr = string; isoct=exist('OCTAVE_VERSION','builtin'); arraytoken=find(inStr=='[' | inStr==']' | inStr=='"'); jstr=regexprep(inStr,'\\\\',' '); escquote=regexp(jstr,'\\"'); arraytoken=sort([arraytoken escquote]); % String delimiters and escape chars identified to improve speed: esc = find(inStr=='"' | inStr=='\' ); % comparable to: regexp(inStr, '["\\]'); index_esc = 1; len_esc = length(esc); opt=varargin2struct(varargin{:}); if(jsonopt('ShowProgress',0,opt)==1) opt.progressbar_=waitbar(0,'loading ...'); end jsoncount=1; while pos <= len switch(next_char) case '{' data{jsoncount} = parse_object(opt); case '[' data{jsoncount} = parse_array(opt); otherwise error_pos('Outer level structure must be an object or an array'); end jsoncount=jsoncount+1; end % while jsoncount=length(data); if(jsoncount==1 && iscell(data)) data=data{1}; end if(isfield(opt,'progressbar_')) close(opt.progressbar_); end %%------------------------------------------------------------------------- function object = parse_object(varargin) parse_char('{'); object = []; if next_char ~= '}' while 1 str = parseStr(varargin{:}); if isempty(str) error_pos('Name of value at position %d cannot be empty'); end parse_char(':'); val = parse_value(varargin{:}); object.(valid_field(str))=val; if next_char == '}' break; end parse_char(','); end end parse_char('}'); if(isstruct(object)) object=struct2jdata(object); end %%------------------------------------------------------------------------- function object = parse_array(varargin) % JSON array is written in row-major order global pos inStr isoct parse_char('['); object = cell(0, 1); dim2=[]; arraydepth=jsonopt('JSONLAB_ArrayDepth_',1,varargin{:}); pbar=-1; if(isfield(varargin{1},'progressbar_')) pbar=varargin{1}.progressbar_; end if next_char ~= ']' if(jsonopt('FastArrayParser',1,varargin{:})>=1 && arraydepth>=jsonopt('FastArrayParser',1,varargin{:})) [endpos, e1l, e1r]=matching_bracket(inStr,pos); arraystr=['[' inStr(pos:endpos)]; arraystr=regexprep(arraystr,'"_NaN_"','NaN'); arraystr=regexprep(arraystr,'"([-+]*)_Inf_"','$1Inf'); arraystr(arraystr==sprintf('\n'))=[]; arraystr(arraystr==sprintf('\r'))=[]; %arraystr=regexprep(arraystr,'\s*,',','); % this is slow,sometimes needed if(~isempty(e1l) && ~isempty(e1r)) % the array is in 2D or higher D astr=inStr((e1l+1):(e1r-1)); astr=regexprep(astr,'"_NaN_"','NaN'); astr=regexprep(astr,'"([-+]*)_Inf_"','$1Inf'); astr(astr==sprintf('\n'))=[]; astr(astr==sprintf('\r'))=[]; astr(astr==' ')=''; if(isempty(find(astr=='[', 1))) % array is 2D dim2=length(sscanf(astr,'%f,',[1 inf])); end else % array is 1D astr=arraystr(2:end-1); astr(astr==' ')=''; [obj, count, errmsg, nextidx]=sscanf(astr,'%f,',[1,inf]); if(nextidx>=length(astr)-1) object=obj; pos=endpos; parse_char(']'); return; end end if(~isempty(dim2)) astr=arraystr; astr(astr=='[')=''; astr(astr==']')=''; astr(astr==' ')=''; [obj, count, errmsg, nextidx]=sscanf(astr,'%f,',inf); if(nextidx>=length(astr)-1) object=reshape(obj,dim2,numel(obj)/dim2)'; pos=endpos; parse_char(']'); if(pbar>0) waitbar(pos/length(inStr),pbar,'loading ...'); end return; end end arraystr=regexprep(arraystr,'\]\s*,','];'); else arraystr='['; end try if(isoct && regexp(arraystr,'"','once')) error('Octave eval can produce empty cells for JSON-like input'); end object=eval(arraystr); pos=endpos; catch while 1 newopt=varargin2struct(varargin{:},'JSONLAB_ArrayDepth_',arraydepth+1); val = parse_value(newopt); object{end+1} = val; if next_char == ']' break; end parse_char(','); end end end if(jsonopt('SimplifyCell',0,varargin{:})==1) try oldobj=object; object=cell2mat(object')'; if(iscell(oldobj) && isstruct(object) && numel(object)>1 && jsonopt('SimplifyCellArray',1,varargin{:})==0) object=oldobj; elseif(size(object,1)>1 && ismatrix(object)) object=object'; end catch end end parse_char(']'); if(pbar>0) waitbar(pos/length(inStr),pbar,'loading ...'); end %%------------------------------------------------------------------------- function parse_char(c) global pos inStr len pos=skip_whitespace(pos,inStr,len); if pos > len || inStr(pos) ~= c error_pos(sprintf('Expected %c at position %%d', c)); else pos = pos + 1; pos=skip_whitespace(pos,inStr,len); end %%------------------------------------------------------------------------- function c = next_char global pos inStr len pos=skip_whitespace(pos,inStr,len); if pos > len c = []; else c = inStr(pos); end %%------------------------------------------------------------------------- function newpos=skip_whitespace(pos,inStr,len) newpos=pos; while newpos <= len && isspace(inStr(newpos)) newpos = newpos + 1; end %%------------------------------------------------------------------------- function str = parseStr(varargin) global pos inStr len esc index_esc len_esc % len, ns = length(inStr), keyboard if inStr(pos) ~= '"' error_pos('String starting with " expected at position %d'); else pos = pos + 1; end str = ''; while pos <= len while index_esc <= len_esc && esc(index_esc) < pos index_esc = index_esc + 1; end if index_esc > len_esc str = [str inStr(pos:len)]; pos = len + 1; break; else str = [str inStr(pos:esc(index_esc)-1)]; pos = esc(index_esc); end nstr = length(str); switch inStr(pos) case '"' pos = pos + 1; if(~isempty(str)) if(strcmp(str,'_Inf_')) str=Inf; elseif(strcmp(str,'-_Inf_')) str=-Inf; elseif(strcmp(str,'_NaN_')) str=NaN; end end return; case '\' if pos+1 > len error_pos('End of file reached right after escape character'); end pos = pos + 1; switch inStr(pos) case {'"' '\' '/'} str(nstr+1) = inStr(pos); pos = pos + 1; case {'b' 'f' 'n' 'r' 't'} str(nstr+1) = sprintf(['\' inStr(pos)]); pos = pos + 1; case 'u' if pos+4 > len error_pos('End of file reached in escaped unicode character'); end str(nstr+(1:6)) = inStr(pos-1:pos+4); pos = pos + 5; end otherwise % should never happen str(nstr+1) = inStr(pos); keyboard; pos = pos + 1; end end error_pos('End of file while expecting end of inStr'); %%------------------------------------------------------------------------- function num = parse_number(varargin) global pos inStr isoct currstr=inStr(pos:min(pos+30,end)); if(isoct~=0) numstr=regexp(currstr,'^\s*-?(?:0|[1-9]\d*)(?:\.\d+)?(?:[eE][+\-]?\d+)?','end'); [num] = sscanf(currstr, '%f', 1); delta=numstr+1; else [num, one, err, delta] = sscanf(currstr, '%f', 1); if ~isempty(err) error_pos('Error reading number at position %d'); end end pos = pos + delta-1; %%------------------------------------------------------------------------- function val = parse_value(varargin) global pos inStr len if(isfield(varargin{1},'progressbar_')) waitbar(pos/len,varargin{1}.progressbar_,'loading ...'); end switch(inStr(pos)) case '"' val = parseStr(varargin{:}); return; case '[' val = parse_array(varargin{:}); return; case '{' val = parse_object(varargin{:}); return; case {'-','0','1','2','3','4','5','6','7','8','9'} val = parse_number(varargin{:}); return; case 't' if pos+3 <= len && strcmpi(inStr(pos:pos+3), 'true') val = true; pos = pos + 4; return; end case 'f' if pos+4 <= len && strcmpi(inStr(pos:pos+4), 'false') val = false; pos = pos + 5; return; end case 'n' if pos+3 <= len && strcmpi(inStr(pos:pos+3), 'null') val = []; pos = pos + 4; return; end end error_pos('Value expected at position %d'); %%------------------------------------------------------------------------- function error_pos(msg) global pos inStr len poShow = max(min([pos-15 pos-1 pos pos+20],len),1); if poShow(3) == poShow(2) poShow(3:4) = poShow(2)+[0 -1]; % display nothing after end msg = [sprintf(msg, pos) ': ' ... inStr(poShow(1):poShow(2)) '<error>' inStr(poShow(3):poShow(4)) ]; error( ['JSONparser:invalidFormat: ' msg] ); %%------------------------------------------------------------------------- function str = valid_field(str) global isoct % From MATLAB doc: field names must begin with a letter, which may be % followed by any combination of letters, digits, and underscores. % Invalid characters will be converted to underscores, and the prefix % "x0x[Hex code]_" will be added if the first character is not a letter. pos=regexp(str,'^[^A-Za-z]','once'); if(~isempty(pos)) if(~isoct) str=regexprep(str,'^([^A-Za-z])','x0x${sprintf(''%X'',unicode2native($1))}_','once'); else str=sprintf('x0x%X_%s',char(str(1)),str(2:end)); end end if(isempty(regexp(str,'[^0-9A-Za-z_]', 'once' ))) return; end if(~isoct) str=regexprep(str,'([^0-9A-Za-z_])','_0x${sprintf(''%X'',unicode2native($1))}_'); else pos=regexp(str,'[^0-9A-Za-z_]'); if(isempty(pos)) return; end str0=str; pos0=[0 pos(:)' length(str)]; str=''; for i=1:length(pos) str=[str str0(pos0(i)+1:pos(i)-1) sprintf('_0x%X_',str0(pos(i)))]; end if(pos(end)~=length(str)) str=[str str0(pos0(end-1)+1:pos0(end))]; end end %str(~isletter(str) & ~('0' <= str & str <= '9')) = '_'; %%------------------------------------------------------------------------- function endpos = matching_quote(str,pos) len=length(str); while(pos<len) if(str(pos)=='"') if(~(pos>1 && str(pos-1)=='\')) endpos=pos; return; end end pos=pos+1; end error('unmatched quotation mark'); %%------------------------------------------------------------------------- function [endpos, e1l, e1r, maxlevel] = matching_bracket(str,pos) global arraytoken level=1; maxlevel=level; endpos=0; bpos=arraytoken(arraytoken>=pos); tokens=str(bpos); len=length(tokens); pos=1; e1l=[]; e1r=[]; while(pos<=len) c=tokens(pos); if(c==']') level=level-1; if(isempty(e1r)) e1r=bpos(pos); end if(level==0) endpos=bpos(pos); return end end if(c=='[') if(isempty(e1l)) e1l=bpos(pos); end level=level+1; maxlevel=max(maxlevel,level); end if(c=='"') pos=matching_quote(tokens,pos+1); end pos=pos+1; end if(endpos==0) error('unmatched "]"'); end function opt=varargin2struct(varargin) % % opt=varargin2struct('param1',value1,'param2',value2,...) % or % opt=varargin2struct(...,optstruct,...) % % convert a series of input parameters into a structure % % input: % 'param', value: the input parameters should be pairs of a string and a value % optstruct: if a parameter is a struct, the fields will be merged to the output struct % % output: % opt: a struct where opt.param1=value1, opt.param2=value2 ... % len=length(varargin); opt=struct; if(len==0) return; end i=1; while(i<=len) if(isstruct(varargin{i})) opt=mergestruct(opt,varargin{i}); elseif(ischar(varargin{i}) && i<len) opt=setfield(opt,lower(varargin{i}),varargin{i+1}); i=i+1; else error('input must be in the form of ...,''name'',value,... pairs or structs'); end i=i+1; end function val=jsonopt(key,default,varargin) % % val=jsonopt(key,default,optstruct) % % setting options based on a struct. The struct can be produced % by varargin2struct from a list of 'param','value' pairs % % authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % % $Id: loadjson.m 371 2012-06-20 12:43:06Z fangq $ % % input: % key: a string with which one look up a value from a struct % default: if the key does not exist, return default % optstruct: a struct where each sub-field is a key % % output: % val: if key exists, val=optstruct.key; otherwise val=default % val=default; if(nargin<=2) return; end opt=varargin{1}; if(isstruct(opt)) if(isfield(opt,key)) val=getfield(opt,key); elseif(isfield(opt,lower(key))) val=getfield(opt,lower(key)); end end function s=mergestruct(s1,s2) % % s=mergestruct(s1,s2) % % merge two struct objects into one % % authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % date: 2012/12/22 % % input: % s1,s2: a struct object, s1 and s2 can not be arrays % % output: % s: the merged struct object. fields in s1 and s2 will be combined in s. if(~isstruct(s1) || ~isstruct(s2)) error('input parameters contain non-struct'); end if(length(s1)>1 || length(s2)>1) error('can not merge struct arrays'); end fn=fieldnames(s2); s=s1; for i=1:length(fn) s=setfield(s,fn{i},getfield(s2,fn{i})); end function newdata=struct2jdata(data,varargin) % % newdata=struct2jdata(data,opt,...) % % convert a JData object (in the form of a struct array) into an array % % authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % % input: % data: a struct array. If data contains JData keywords in the first % level children, these fields are parsed and regrouped into a % data object (arrays, trees, graphs etc) based on JData % specification. The JData keywords are % "_ArrayType_", "_ArraySize_", "_ArrayData_" % "_ArrayIsSparse_", "_ArrayIsComplex_" % opt: (optional) a list of 'Param',value pairs for additional options % The supported options include % 'Recursive', if set to 1, will apply the conversion to % every child; 0 to disable % % output: % newdata: the covnerted data if the input data does contain a JData % structure; otherwise, the same as the input. % % examples: % obj=struct('_ArrayType_','double','_ArraySize_',[2 3], % '_ArrayIsSparse_',1 ,'_ArrayData_',null); % ubjdata=struct2jdata(obj); fn=fieldnames(data); newdata=data; len=length(data); if(jsonopt('Recursive',0,varargin{:})==1) for i=1:length(fn) % depth-first for j=1:len if(isstruct(getfield(data(j),fn{i}))) newdata(j)=setfield(newdata(j),fn{i},jstruct2array(getfield(data(j),fn{i}))); end end end end if(~isempty(strmatch('x0x5F_ArrayType_',fn)) && ~isempty(strmatch('x0x5F_ArrayData_',fn))) newdata=cell(len,1); for j=1:len ndata=cast(data(j).x0x5F_ArrayData_,data(j).x0x5F_ArrayType_); iscpx=0; if(~isempty(strmatch('x0x5F_ArrayIsComplex_',fn))) if(data(j).x0x5F_ArrayIsComplex_) iscpx=1; end end if(~isempty(strmatch('x0x5F_ArrayIsSparse_',fn))) if(data(j).x0x5F_ArrayIsSparse_) if(~isempty(strmatch('x0x5F_ArraySize_',fn))) dim=double(data(j).x0x5F_ArraySize_); if(iscpx && size(ndata,2)==4-any(dim==1)) ndata(:,end-1)=complex(ndata(:,end-1),ndata(:,end)); end if isempty(ndata) % All-zeros sparse ndata=sparse(dim(1),prod(dim(2:end))); elseif dim(1)==1 % Sparse row vector ndata=sparse(1,ndata(:,1),ndata(:,2),dim(1),prod(dim(2:end))); elseif dim(2)==1 % Sparse column vector ndata=sparse(ndata(:,1),1,ndata(:,2),dim(1),prod(dim(2:end))); else % Generic sparse array. ndata=sparse(ndata(:,1),ndata(:,2),ndata(:,3),dim(1),prod(dim(2:end))); end else if(iscpx && size(ndata,2)==4) ndata(:,3)=complex(ndata(:,3),ndata(:,4)); end ndata=sparse(ndata(:,1),ndata(:,2),ndata(:,3)); end end elseif(~isempty(strmatch('x0x5F_ArraySize_',fn))) if(iscpx && size(ndata,2)==2) ndata=complex(ndata(:,1),ndata(:,2)); end ndata=reshape(ndata(:),data(j).x0x5F_ArraySize_); end newdata{j}=ndata; end if(len==1) newdata=newdata{1}; end end
github
vladostan/pulse-master
pcamat.m
.m
pulse-master/ComponentAnalysis/FastICA/pcamat.m
12,075
utf_8
bcb1117d4132558d0d54d8b7b616a902
function [E, D] = pcamat(vectors, firstEig, lastEig, s_interactive, ... s_verbose); %PCAMAT - Calculates the pca for data % % [E, D] = pcamat(vectors, firstEig, lastEig, ... % interactive, verbose); % % Calculates the PCA matrices for given data (row) vectors. Returns % the eigenvector (E) and diagonal eigenvalue (D) matrices containing the % selected subspaces. Dimensionality reduction is controlled with % the parameters 'firstEig' and 'lastEig' - but it can also be done % interactively by setting parameter 'interactive' to 'on' or 'gui'. % % ARGUMENTS % % vectors Data in row vectors. % firstEig Index of the largest eigenvalue to keep. % Default is 1. % lastEig Index of the smallest eigenvalue to keep. % Default is equal to dimension of vectors. % interactive Specify eigenvalues to keep interactively. Note that if % you set 'interactive' to 'on' or 'gui' then the values % for 'firstEig' and 'lastEig' will be ignored, but they % still have to be entered. If the value is 'gui' then the % same graphical user interface as in FASTICAG will be % used. Default is 'off'. % verbose Default is 'on'. % % % EXAMPLE % [E, D] = pcamat(vectors); % % Note % The eigenvalues and eigenvectors returned by PCAMAT are not sorted. % % This function is needed by FASTICA and FASTICAG % For historical reasons this version does not sort the eigenvalues or % the eigen vectors in any ways. Therefore neither does the FASTICA or % FASTICAG. Generally it seams that the components returned from % whitening is almost in reversed order. (That means, they usually are, % but sometime they are not - depends on the EIG-command of matlab.) % @(#)$Id: pcamat.m,v 1.5 2003/12/15 18:24:32 jarmo Exp $ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Default values: if nargin < 5, s_verbose = 'on'; end if nargin < 4, s_interactive = 'off'; end if nargin < 3, lastEig = size(vectors, 1); end if nargin < 2, firstEig = 1; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Check the optional parameters; switch lower(s_verbose) case 'on' b_verbose = 1; case 'off' b_verbose = 0; otherwise error(sprintf('Illegal value [ %s ] for parameter: ''verbose''\n', s_verbose)); end switch lower(s_interactive) case 'on' b_interactive = 1; case 'off' b_interactive = 0; case 'gui' b_interactive = 2; otherwise error(sprintf('Illegal value [ %s ] for parameter: ''interactive''\n', ... s_interactive)); end oldDimension = size (vectors, 1); if ~(b_interactive) if lastEig < 1 | lastEig > oldDimension error(sprintf('Illegal value [ %d ] for parameter: ''lastEig''\n', lastEig)); end if firstEig < 1 | firstEig > lastEig error(sprintf('Illegal value [ %d ] for parameter: ''firstEig''\n', firstEig)); end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Calculate PCA % Calculate the covariance matrix. if b_verbose, fprintf ('Calculating covariance...\n'); end covarianceMatrix = cov(vectors', 1); % Calculate the eigenvalues and eigenvectors of covariance % matrix. [E, D] = eig (covarianceMatrix); % The rank is determined from the eigenvalues - and not directly by % using the function rank - because function rank uses svd, which % in some cases gives a higher dimensionality than what can be used % with eig later on (eig then gives negative eigenvalues). rankTolerance = 1e-7; maxLastEig = sum (diag (D) > rankTolerance); if maxLastEig == 0, fprintf (['Eigenvalues of the covariance matrix are' ... ' all smaller than tolerance [ %g ].\n' ... 'Please make sure that your data matrix contains' ... ' nonzero values.\nIf the values are very small,' ... ' try rescaling the data matrix.\n'], rankTolerance); error ('Unable to continue, aborting.'); end % Sort the eigenvalues - decending. eigenvalues = flipud(sort(diag(D))); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Interactive part - command-line if b_interactive == 1 % Show the eigenvalues to the user hndl_win=figure; bar(eigenvalues); title('Eigenvalues'); % ask the range from the user... % ... and keep on asking until the range is valid :-) areValuesOK=0; while areValuesOK == 0 firstEig = input('The index of the largest eigenvalue to keep? (1) '); lastEig = input(['The index of the smallest eigenvalue to keep? (' ... int2str(oldDimension) ') ']); % Check the new values... % if they are empty then use default values if isempty(firstEig), firstEig = 1;end if isempty(lastEig), lastEig = oldDimension;end % Check that the entered values are within the range areValuesOK = 1; if lastEig < 1 | lastEig > oldDimension fprintf('Illegal number for the last eigenvalue.\n'); areValuesOK = 0; end if firstEig < 1 | firstEig > lastEig fprintf('Illegal number for the first eigenvalue.\n'); areValuesOK = 0; end end % close the window close(hndl_win); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Interactive part - GUI if b_interactive == 2 % Show the eigenvalues to the user hndl_win = figure('Color',[0.8 0.8 0.8], ... 'PaperType','a4letter', ... 'Units', 'normalized', ... 'Name', 'FastICA: Reduce dimension', ... 'NumberTitle','off', ... 'Tag', 'f_eig'); h_frame = uicontrol('Parent', hndl_win, ... 'BackgroundColor',[0.701961 0.701961 0.701961], ... 'Units', 'normalized', ... 'Position',[0.13 0.05 0.775 0.17], ... 'Style','frame', ... 'Tag','f_frame'); b = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'BackgroundColor',[0.701961 0.701961 0.701961], ... 'HorizontalAlignment','left', ... 'Position',[0.142415 0.0949436 0.712077 0.108507], ... 'String','Give the indices of the largest and smallest eigenvalues of the covariance matrix to be included in the reduced data.', ... 'Style','text', ... 'Tag','StaticText1'); e_first = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'Callback',[ ... 'f=round(str2num(get(gcbo, ''String'')));' ... 'if (f < 1), f=1; end;' ... 'l=str2num(get(findobj(''Tag'',''e_last''), ''String''));' ... 'if (f > l), f=l; end;' ... 'set(gcbo, ''String'', int2str(f));' ... ], ... 'BackgroundColor',[1 1 1], ... 'HorizontalAlignment','right', ... 'Position',[0.284831 0.0678168 0.12207 0.0542535], ... 'Style','edit', ... 'String', '1', ... 'Tag','e_first'); b = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'BackgroundColor',[0.701961 0.701961 0.701961], ... 'HorizontalAlignment','left', ... 'Position',[0.142415 0.0678168 0.12207 0.0542535], ... 'String','Range from', ... 'Style','text', ... 'Tag','StaticText2'); e_last = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'Callback',[ ... 'l=round(str2num(get(gcbo, ''String'')));' ... 'lmax = get(gcbo, ''UserData'');' ... 'if (l > lmax), l=lmax; fprintf([''The selected value was too large, or the selected eigenvalues were close to zero\n'']); end;' ... 'f=str2num(get(findobj(''Tag'',''e_first''), ''String''));' ... 'if (l < f), l=f; end;' ... 'set(gcbo, ''String'', int2str(l));' ... ], ... 'BackgroundColor',[1 1 1], ... 'HorizontalAlignment','right', ... 'Position',[0.467936 0.0678168 0.12207 0.0542535], ... 'Style','edit', ... 'String', int2str(maxLastEig), ... 'UserData', maxLastEig, ... 'Tag','e_last'); % in the first version oldDimension was used instead of % maxLastEig, but since the program would automatically % drop the eigenvalues afte maxLastEig... b = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'BackgroundColor',[0.701961 0.701961 0.701961], ... 'HorizontalAlignment','left', ... 'Position',[0.427246 0.0678168 0.0406901 0.0542535], ... 'String','to', ... 'Style','text', ... 'Tag','StaticText3'); b = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'Callback','uiresume(gcbf)', ... 'Position',[0.630697 0.0678168 0.12207 0.0542535], ... 'String','OK', ... 'Tag','Pushbutton1'); b = uicontrol('Parent',hndl_win, ... 'Units','normalized', ... 'Callback',[ ... 'gui_help(''pcamat'');' ... ], ... 'Position',[0.767008 0.0678168 0.12207 0.0542535], ... 'String','Help', ... 'Tag','Pushbutton2'); h_axes = axes('Position' ,[0.13 0.3 0.775 0.6]); set(hndl_win, 'currentaxes',h_axes); bar(eigenvalues); title('Eigenvalues'); uiwait(hndl_win); firstEig = str2num(get(e_first, 'String')); lastEig = str2num(get(e_last, 'String')); % close the window close(hndl_win); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % See if the user has reduced the dimension enought if lastEig > maxLastEig lastEig = maxLastEig; if b_verbose fprintf('Dimension reduced to %d due to the singularity of covariance matrix\n',... lastEig-firstEig+1); end else % Reduce the dimensionality of the problem. if b_verbose if oldDimension == (lastEig - firstEig + 1) fprintf ('Dimension not reduced.\n'); else fprintf ('Reducing dimension...\n'); end end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Drop the smaller eigenvalues if lastEig < oldDimension lowerLimitValue = (eigenvalues(lastEig) + eigenvalues(lastEig + 1)) / 2; else lowerLimitValue = eigenvalues(oldDimension) - 1; end lowerColumns = diag(D) > lowerLimitValue; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Drop the larger eigenvalues if firstEig > 1 higherLimitValue = (eigenvalues(firstEig - 1) + eigenvalues(firstEig)) / 2; else higherLimitValue = eigenvalues(1) + 1; end higherColumns = diag(D) < higherLimitValue; % Combine the results from above selectedColumns = lowerColumns & higherColumns; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % print some info for the user if b_verbose fprintf ('Selected [ %d ] dimensions.\n', sum (selectedColumns)); end if sum (selectedColumns) ~= (lastEig - firstEig + 1), error ('Selected a wrong number of dimensions.'); end if b_verbose fprintf ('Smallest remaining (non-zero) eigenvalue [ %g ]\n', eigenvalues(lastEig)); fprintf ('Largest remaining (non-zero) eigenvalue [ %g ]\n', eigenvalues(firstEig)); fprintf ('Sum of removed eigenvalues [ %g ]\n', sum(diag(D) .* ... (~selectedColumns))); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Select the colums which correspond to the desired range % of eigenvalues. E = selcol(E, selectedColumns); D = selcol(selcol(D, selectedColumns)', selectedColumns); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Some more information if b_verbose sumAll=sum(eigenvalues); sumUsed=sum(diag(D)); retained = (sumUsed / sumAll) * 100; fprintf('[ %g ] %% of (non-zero) eigenvalues retained.\n', retained); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function newMatrix = selcol(oldMatrix, maskVector); % newMatrix = selcol(oldMatrix, maskVector); % % Selects the columns of the matrix that marked by one in the given vector. % The maskVector is a column vector. % 15.3.1998 if size(maskVector, 1) ~= size(oldMatrix, 2), error ('The mask vector and matrix are of uncompatible size.'); end numTaken = 0; for i = 1 : size (maskVector, 1), if maskVector(i, 1) == 1, takingMask(1, numTaken + 1) = i; numTaken = numTaken + 1; end end newMatrix = oldMatrix(:, takingMask);
github
vladostan/pulse-master
icaplot.m
.m
pulse-master/ComponentAnalysis/FastICA/icaplot.m
13,259
utf_8
dde3e6d852f657a3c1eaacbd03f5dcc7
function icaplot(mode, varargin); %ICAPLOT - plot signals in various ways % % ICAPLOT is mainly for plottinf and comparing the mixed signals and % separated ica-signals. % % ICAPLOT has many different modes. The first parameter of the function % defines the mode. Other parameters and their order depends on the % mode. The explanation for the more common parameters is in the end. % % Classic % icaplot('classic', s1, n1, range, xrange, titlestr) % % Plots the signals in the same manner as the FASTICA and FASTICAG % programs do. All the signals are plotted in their own axis. % % Complot % icaplot('complot', s1, n1, range, xrange, titlestr) % % The signals are plotted on the same axis. This is good for % visualization of the shape of the signals. The scale of the signals % has been altered so that they all fit nicely. % % Histogram % icaplot('histogram', s1, n1, range, bins, style) % % The histogram of the signals is plotted. The number of bins can be % specified with 'bins'-parameter. The style for the histograms can % be either 'bar' (default) of 'line'. % % Scatter % icaplot('scatter', s1, n1, s2, n2, range, titlestr, s1label, % s2label, markerstr) % % A scatterplot is plotted so that the signal 1 is the 'X'-variable % and the signal 2 is the 'Y'-variable. The 'markerstr' can be used % to specify the maker used in the plot. The format for 'markerstr' % is the same as for Matlab's PLOT. % % Compare % icaplot('compare', s1, n1, s2, n2, range, xrange, titlestr, % s1label, s2label) % % This for for comparing two signals. The main used in this context % would probably be to see how well the separated ICA-signals explain % the observed mixed signals. The s2 signals are first scaled with % REGRESS function. % % Compare - Sum % icaplot('sum', s1, n1, s2, n2, range, xrange, titlestr, s1label, % s2label) % % The same as Compare, but this time the signals in s2 (specified by % n2) are summed together. % % Compare - Sumerror % icaplot('sumerror', s1, n1, s2, n2, range, xrange, titlestr, % s1label, s2label) % % The same as Compare - Sum, but also the 'error' between the signal % 1 and the summed IC's is plotted. % % % More common parameters % The signals to be plotted are in matrices s1 and s2. The n1 and n2 % are used to tell the index of the signal or signals to be plotted % from s1 or s2. If n1 or n2 has a value of 0, then all the signals % from corresponding matrix will be plotted. The values for n1 and n2 % can also be vectors (like: [1 3 4]) In some casee if there are more % than 1 signal to be plotted from s1 or s2 then the plot will % contain as many subplots as are needed. % % The range of the signals to be plotted can be limited with % 'range'-parameter. It's value is a vector ( 10000:15000 ). If range % is 0, then the whole range will be plotted. % % The 'xrange' is used to specify only the labels used on the % x-axis. The value of 'xrange' is a vector containing the x-values % for the plots or [start end] for begin and end of the range % ( 10000:15000 or [10 15] ). If xrange is 0, then value of range % will be used for x-labels. % % You can give a title for the plot with 'titlestr'. Also the % 's1label' and 's2label' are used to give more meaningfull label for % the signals. % % Lastly, you can omit some of the arguments from the and. You will % have to give values for the signal matrices (s1, s2) and the % indexes (n1, n2) % @(#)$Id: icaplot.m,v 1.2 2003/04/05 14:23:58 jarmo Exp $ switch mode %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % 'dispsig' is to replace the old DISPSIG % '' & 'classic' are just another names - '' quite short one :-) case {'', 'classic', 'dispsig'} % icaplot(mode, s1, n1, range, xrange, titlestr) if length(varargin) < 1, error('Not enough arguments.'); end if length(varargin) < 5, titlestr = '';else titlestr = varargin{5}; end if length(varargin) < 4, xrange = 0;else xrange = varargin{4}; end if length(varargin) < 3, range = 0;else range = varargin{3}; end if length(varargin) < 2, n1 = 0;else n1 = varargin{2}; end s1 = varargin{1}; range=chkrange(range, s1); xrange=chkxrange(xrange, range); n1=chkn(n1, s1); clf; numSignals = size(n1, 2); for i = 1:numSignals, subplot(numSignals, 1, i); plot(xrange, s1(n1(i), range)); end subplot(numSignals,1, 1); if (~isempty(titlestr)) title(titlestr); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% case 'complot' % icaplot(mode, s1, n1, range, xrange, titlestr) if length(varargin) < 1, error('Not enough arguments.'); end if length(varargin) < 5, titlestr = '';else titlestr = varargin{5}; end if length(varargin) < 4, xrange = 0;else xrange = varargin{4}; end if length(varargin) < 3, range = 0;else range = varargin{3}; end if length(varargin) < 2, n1 = 0;else n1 = varargin{2}; end s1 = remmean(varargin{1}); range=chkrange(range, s1); xrange=chkxrange(xrange, range); n1=chkn(n1, s1); for i = 1:size(n1, 2) S1(i, :) = s1(n1(i), range); end alpha = mean(max(S1')-min(S1')); for i = 1:size(n1,2) S2(i,:) = S1(i,:) - alpha*(i-1)*ones(size(S1(1,:))); end plot(xrange, S2'); axis([min(xrange) max(xrange) min(min(S2)) max(max(S2)) ]); set(gca,'YTick',(-size(S1,1)+1)*alpha:alpha:0); set(gca,'YTicklabel',fliplr(n1)); if (~isempty(titlestr)) title(titlestr); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% case 'histogram' % icaplot(mode, s1, n1, range, bins, style) if length(varargin) < 1, error('Not enough arguments.'); end if length(varargin) < 5, style = 'bar';else style = varargin{5}; end if length(varargin) < 4, bins = 10;else bins = varargin{4}; end if length(varargin) < 3, range = 0;else range = varargin{3}; end if length(varargin) < 2, n1 = 0;else n1 = varargin{2}; end s1 = varargin{1}; range = chkrange(range, s1); n1 = chkn(n1, s1); numSignals = size(n1, 2); rows = floor(sqrt(numSignals)); columns = ceil(sqrt(numSignals)); while (rows * columns < numSignals) columns = columns + 1; end switch style case {'', 'bar'} for i = 1:numSignals, subplot(rows, columns, i); hist(s1(n1(i), range), bins); title(int2str(n1(i))); drawnow; end case 'line' for i = 1:numSignals, subplot(rows, columns, i); [Y, X]=hist(s1(n1(i), range), bins); plot(X, Y); title(int2str(n1(i))); drawnow; end otherwise fprintf('Unknown style.\n') end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% case 'scatter' % icaplot(mode, s1, n1, s2, n2, range, titlestr, xlabelstr, ylabelstr, markerstr) if length(varargin) < 4, error('Not enough arguments.'); end if length(varargin) < 9, markerstr = '.';else markerstr = varargin{9}; end if length(varargin) < 8, ylabelstr = 'Signal 2';else ylabelstr = varargin{8}; end if length(varargin) < 7, xlabelstr = 'Signal 1';else xlabelstr = varargin{7}; end if length(varargin) < 6, titlestr = '';else titlestr = varargin{6}; end if length(varargin) < 5, range = 0;else range = varargin{5}; end n2 = varargin{4}; s2 = varargin{3}; n1 = varargin{2}; s1 = varargin{1}; range = chkrange(range, s1); n1 = chkn(n1, s1); n2 = chkn(n2, s2); rows = size(n1, 2); columns = size(n2, 2); for r = 1:rows for c = 1:columns subplot(rows, columns, (r-1)*columns + c); plot(s1(n1(r), range),s2(n2(c), range),markerstr); if (~isempty(titlestr)) title(titlestr); end if (rows*columns == 1) xlabel(xlabelstr); ylabel(ylabelstr); else xlabel([xlabelstr ' (' int2str(n1(r)) ')']); ylabel([ylabelstr ' (' int2str(n2(c)) ')']); end drawnow; end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% case {'compare', 'sum', 'sumerror'} % icaplot(mode, s1, n1, s2, n2, range, xrange, titlestr, s1label, s2label) if length(varargin) < 4, error('Not enough arguments.'); end if length(varargin) < 9, s2label = 'IC';else s2label = varargin{9}; end if length(varargin) < 8, s1label = 'Mix';else s1label = varargin{8}; end if length(varargin) < 7, titlestr = '';else titlestr = varargin{7}; end if length(varargin) < 6, xrange = 0;else xrange = varargin{6}; end if length(varargin) < 5, range = 0;else range = varargin{5}; end s1 = varargin{1}; n1 = varargin{2}; s2 = varargin{3}; n2 = varargin{4}; range = chkrange(range, s1); xrange = chkxrange(xrange, range); n1 = chkn(n1, s1); n2 = chkn(n2, s2); numSignals = size(n1, 2); if (numSignals > 1) externalLegend = 1; else externalLegend = 0; end rows = floor(sqrt(numSignals+externalLegend)); columns = ceil(sqrt(numSignals+externalLegend)); while (rows * columns < (numSignals+externalLegend)) columns = columns + 1; end clf; for j = 1:numSignals subplot(rows, columns, j); switch mode case 'compare' plotcompare(s1, n1(j), s2,n2, range, xrange); [legendtext,legendstyle]=legendcompare(n1(j),n2,s1label,s2label,externalLegend); case 'sum' plotsum(s1, n1(j), s2,n2, range, xrange); [legendtext,legendstyle]=legendsum(n1(j),n2,s1label,s2label,externalLegend); case 'sumerror' plotsumerror(s1, n1(j), s2,n2, range, xrange); [legendtext,legendstyle]=legendsumerror(n1(j),n2,s1label,s2label,externalLegend); end if externalLegend title([titlestr ' (' s1label ' ' int2str(n1(j)) ')']); else legend(char(legendtext)); if (~isempty(titlestr)) title(titlestr); end end end if (externalLegend) subplot(rows, columns, numSignals+1); legendsize = size(legendtext, 2); hold on; for i=1:legendsize plot([0 1],[legendsize-i legendsize-i], char(legendstyle(i))); text(1.5, legendsize-i, char(legendtext(i))); end hold off; axis([0 6 -1 legendsize]); axis off; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function plotcompare(s1, n1, s2, n2, range, xrange); style=getStyles; K = regress(s1(n1,:)',s2'); plot(xrange, s1(n1,range), char(style(1))); hold on for i=1:size(n2,2) plotstyle=char(style(i+1)); plot(xrange, K(n2(i))*s2(n2(i),range), plotstyle); end hold off function [legendText, legendStyle]=legendcompare(n1, n2, s1l, s2l, externalLegend); style=getStyles; if (externalLegend) legendText(1)={[s1l ' (see the titles)']}; else legendText(1)={[s1l ' ', int2str(n1)]}; end legendStyle(1)=style(1); for i=1:size(n2, 2) legendText(i+1) = {[s2l ' ' int2str(n2(i))]}; legendStyle(i+1) = style(i+1); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function plotsum(s1, n1, s2, n2, range, xrange); K = diag(regress(s1(n1,:)',s2')); sigsum = sum(K(:,n2)*s2(n2,:)); plot(xrange, s1(n1, range),'k-', ... xrange, sigsum(range), 'b-'); function [legendText, legendStyle]=legendsum(n1, n2, s1l, s2l, externalLegend); if (externalLegend) legendText(1)={[s1l ' (see the titles)']}; else legendText(1)={[s1l ' ', int2str(n1)]}; end legendText(2)={['Sum of ' s2l ': ', int2str(n2)]}; legendStyle={'k-';'b-'}; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function plotsumerror(s1, n1, s2, n2, range, xrange); K = diag(regress(s1(n1,:)',s2')); sigsum = sum(K(:,n2)*s2(n2,:)); plot(xrange, s1(n1, range),'k-', ... xrange, sigsum(range), 'b-', ... xrange, s1(n1, range)-sigsum(range), 'r-'); function [legendText, legendStyle]=legendsumerror(n1, n2, s1l, s2l, externalLegend); if (externalLegend) legendText(1)={[s1l ' (see the titles)']}; else legendText(1)={[s1l ' ', int2str(n1)]}; end legendText(2)={['Sum of ' s2l ': ', int2str(n2)]}; legendText(3)={'"Error"'}; legendStyle={'k-';'b-';'r-'}; %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function style=getStyles; color = {'k','r','g','b','m','c','y'}; line = {'-',':','-.','--'}; for i = 0:size(line,2)-1 for j = 1:size(color, 2) style(j + i*size(color, 2)) = strcat(color(j), line(i+1)); end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function range=chkrange(r, s) if r == 0 range = 1:size(s, 2); else range = r; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function xrange=chkxrange(xr,r); if xr == 0 xrange = r; elseif size(xr, 2) == 2 xrange = xr(1):(xr(2)-xr(1))/(size(r,2)-1):xr(2); elseif size(xr, 2)~=size(r, 2) error('Xrange and range have different sizes.'); else xrange = xr; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% function n=chkn(n,s) if n == 0 n = 1:size(s, 1); end
github
taojiastanford/Automation-of-Calligraphy-master
SOMFn.m
.m
Automation-of-Calligraphy-master/TryAutoencoder/SOMFn.m
842,616
utf_8
2a3d050c1e1d69645129185dadd1a0c7
function [Y,Xf,Af] = SOMFn(X,~,~) %MYNEURALNETWORKFUNCTION neural network simulation function. % % Generated by Neural Network Toolbox function genFunction, 10-Dec-2016 10:17:26. % % [Y] = myNeuralNetworkFunction(X,~,~) takes these arguments: % % X = 1xTS cell, 1 inputs over TS timesteps % Each X{1,ts} = 400xQ matrix, input #1 at timestep ts. % % and returns: % Y = 1xTS cell of 1 outputs over TS timesteps. % Each Y{1,ts} = 100xQ matrix, output #1 at timestep ts. % % where Q is number of samples (or series) and TS is the number of timesteps. %#ok<*RPMT0> % ===== NEURAL NETWORK CONSTANTS ===== % Layer 1 IW1_1 = [0.24178633272214692 0.15493408124054842 0.23612504178814223 0.0045256182211202978 0.012748712401920157 0.08863248005574563 0.37937362795797153 0.15612161991136869 0.30537664832568479 0.071879061486941148 0.16243568805818373 0.32999047034150525 0.082108767890532536 0.16881906280316969 0.60913731337233834 0.39359156542128915 0.0074402169716277743 0.22920302333763787 0.0086213869738671987 0.0040443370674833898 0.0028071179492909159 0.0024999704665222095 0.15518955979715418 0.39681645309618607 0.34111268490252256 0.83988519010185869 0.088191934867215341 0.15627473320421259 0.99637713660300453 0.2364282663645649 0.83797416927376622 0.0028137391378518957 0.0051556873357080785 0.0098810620931575662 0.62110278003404618 0.0084609242058000939 0.0032231279521743135 0.0030666591014973806 0.47016475397414642 0.15737115832028531 0.30334334568888932 0.0034380262641474195 0.69229800186825563 0.24007244299919922 0.54201214655919128 0.15433234087066205 0.15701209983753681 0.080162626888237179 0.085086688977998634 0.010223358390895505 0.45893298149638273 0.085779538456881271 0.16966903821309048 0.15962996617094172 0.078348150383642665 0.76830269598216472 0.082574801013429927 0.30750630259354095 0.0049842211410595907 0.087464008896176212 0.22828964213398653 0.30560727998949794 0.45928690909031766 0.15543153646872349 0.2312835928837132 0.15841692191480095 0.23398314036906859 0.55017606388492735 0.30839592629441254 0.082152991732652864 0.082993352587594146 0.22759267911230324 0.69351860615840932 0.24628336573246973 0.16092606942162449 0.33451449717951504 0.078813087764802711 0.0019420194412632309 0.081940987505168511 0.084769722734209574 0.088488981020948029 0.0019408315214597021 0.24112017787289333 0.0031750010355027719 0.53649506653279677 0.080579871900168534 0.078694528892837179 0.0026935824236224929 0.0040050129780211351 0.99106138048660752 0.45819737200209287 0.46257731831674459 0.15837081573359185 0.080701937540010052 0.61562584821442567 0.083937756072216957 0.082024574145084489 0.078083569610899267 0.69169526720209695 0.15869752585634442 0.079419720047194234 0.084463212776464736 0.23542894828423838 0.67275223417111052 0.14381933414006143 0.082969335835367156 0.0065823475092198838 0.0086353110809332667 0.32244171096317187 0.17088089506371257 0.39608036368996957 0.53587375014589833 0.15905142970451752 0.69071115028855767 0.53249975362037172 0.5370545424499773 0.14895306600731592 0.68684063885570168 0.30573205497849887 0.91639054090391081 0.16301458928331705 0.45699667547609057 0.30832854101598778 0.61979878268407695 0.0091792431927530064 0.43618868382975851 0.23664786649270089 0.0068770849221633009 0.078803293323625068 0.16352331700735645 0.91946391968724273 0.3184425257192266 0.68368249421719229 0.22674420464279327 0.16338638319798596 0.60972165370455067 0.69219011574718237 0.15401517439767085 0.0028386617913967291 0.16604708875482352 0.15197393186050187 0.090235917398972604 0.24322728670825361 0.31766160074676703 0.1524782923742708 0.0095738638395000616 0.4616730029158892 0.15904227208414082 0.21934041373105953 0.15928859320597583 0.081981037735091564 0.3866464277061985 0.00844089666754466 0.079160927257494657 0.079104583044633289 0.083344456520161661 0.1569877535227979 0.30976609614621897 0.15291275193761372 0.0022698955157211009 0.68976840437056919 0.31397556954559513 0.91527880583447385 0.155689513014409 0.15292499048809144 0.0039131305262421973 0.0039350068420204486 0.23816643233848556 0.46089390351080795 0.82629846129701756 0.76851576661529264 0.45886827558261395 0.1575617890551152 0.0062636706791587317 0.31386356197329857 0.0831098638586871 0.47292431551075709 0.15623211265476056 0.40180269954311704 0.08028455688722437 0.0060914284524099024 0.15965667613032378 0.091859824380476754 0.0026966229306905109 0.45356596834086005 0.24274225897842289 0.0048352602755142452 0.0027471162940464712 0.0064889033443027919 0.07916622786144463 0.23717797773929222 0.0048383634592475506 0.15242636056250985 0.31538035079990778 0.15802357094043723 0.085171086480865604 0.094959926346920756 0.0087410054305871229 0.079692636838558248 0.16164175136430792 0.91454565194962067 0.23393911901727776 0.23410960397777281 0.086038749456404842 0.15360277533823627 0.0648750138294511 0.010178814893339464 0.21070300192704472 0.3803811170350152 0.37518935385019175 0.29186719753062007 0.91297233427471358 0.0025296337575194407 0.38089612942862972 0.088347508119167001 0.1563447264095966 0.0067148536777715487 0.080005110218608205 0.078921428163474291 0.31543063873908495 0.012152892727116416 0.077575589926536126 0.39444870339511146 0.15295198183032735 0.0036972674059274485 0.45741934032221709 0.083937901853344002 0.23582971241563314 0.082201146625621391 0.23578843757711573 0.38448836116359036 0.15825044289160578 0.1585073108083429 0.30669738115872425 0.24152448511019439 0.0018960716422917591 0.077260398297845478 0.99505327564621093 0.61208074592593142 0.0044958300570198308 0.0050286775384574076 0.31418081680725612 0.081425689748067381 0.1546828298607133 0.53491269683845433 0.39103871774159027 0.16334894673161723 0.079360190358539584 0.30231872102354984 0.082427348095376884 0.91703333977709856 0.0053204251229292806 0.079874171268608934 0.0041562722742688619 0.08020191509401528 0.99687032065930126 0.8410599402241079 0.15752696066521915 0.61476844815345644 0.98696019907779498 0.45496255952723857 0.91564489308907193 0.081659454848441893 0.45627925995124646 0.0058503055269563242 0.079618977722003229 0.0058039827612010771 0.3796930180033839 0.073233048467651621 0.15916992615404194 0.084181882260793692 0.30762279571504225 0.2215475526765055 0.086224214135707355 0.15579195116970462 0.75370565263066924 0.15822951522369252 0.0023687263568834003 0.14554005827279162 0.0077857109342583022 0.011567398223078907 0.082062096352387481 0.084098292234234331 0.078625953352390587 0.22280529849077266 0.37546561388492783 0.53803190060220119 0.45408902817413549 0.0055904252315255873 0.01000034598092079 0.22921033300734969 0.0032885265069792381 0.083274451715532369 0.16190974735894814 0.1532318054691231 0.54727716027919904 0.15791370807193178 0.15956258766951584 0.0038564678763778771 0.0067177645128923442 0.0045490467345465921 0.15508251434494894 0.085366913359454275 0.085128312479982815 0.16036144146031672 0.006073814968769381 0.15885949186466988 0.15747325595436173 0.15888857118612992 0.16245189852736788 0.38030645320613821 0.010793641855577324 0.31791168731759406 0.0055954717138637774 0.82792965319290723 0.23667632561362978 0.082001244501815646 0.15255228272734633 0.15694563712412826 0.004471822291991466 0.0079644886657404736 0.15864459395201935 0.079241078055024977 0.38401717810111685 0.15722969780142645 0.0026577127448301294 0.39205163456726666 0.16059396109909829 0.0034428489269091806 0.15448833787589769 0.46415436566421481 0.82948241858032223 0.083302445119098956 0.0019632886444268783 0.76820076599077813 0.69955542089925438 0.084905487677372687 0.31035854288942599 0.080821124822294352 0.15686830884498526 0.23116498571764504 0.16325785602477597 0.15618867735563255 0.23344447847057867 0.99434650803522562 0.51781446674286813 0.0059218124770180512 0.22978733344736607 0.45674795829791781 0.15851840413498039 0.83593652338289548 0.39206447581330706 0.15957171363412453 0.15556050624506074 0.68496526835813643 0.15526138334532427 0.92833620227262703 0.081172696892914564 0.0023985759019465808 0.46238003752275336 0.47127286273675739 0.0088123924805830738 0.83832777074632236 0.0067245980552531077 0.083454971638237535 0.75311425433921841 0.004981953427813956 0.90179668491847353 0.0020315527401084006 0.30840252444402116 0.40360197032422418 0.0094959121594931119 0.30875484126090724 0.080819025504444836 0.0810017453152303 0.0022641447177014023 0.38720902239365973 0.0020461491657109885 0.0018490908561729614 0.1534381051698992 0.081814501034614739 0.23763741922145587 0.0021347118636658069 0.45607993449791584 0.0035190060182969259 0.0051598351116225677 0.084936377421654094 0.52640689068456747 0.0043402089878662366 0.083674581575405305 0.76089304359315491 0.0028700597799442848 0.15526918730119676 0.22451878129361513 0.084112628005618806 0.08513618693840877 0.45801858104288562 0.23548277533778605 0.39264652905473207 0.080262707041834427;0.50675906708366181 0.0018169589390323979 0.013733744319435998 0.25941628547258955 0.015322016113903355 0.0051446912800547787 0.0046310519965429417 0.0039799486162875623 0.0097864551931945033 0.013006546137701386 0.02182764446061497 0.012339949986310137 0.013017075304962789 0.0039848254225782597 0.48585446404949517 0.50672593464892912 0.47016378769111988 0.25857663180322588 0.0031048987738343178 0.24960871270449328 0.0010587885745556276 0.0054483613208328044 0.0041287640519619903 0.53970998132011239 0.0092351983525892044 0.011493166259093118 0.013272091448206978 0.010801256037340752 0.27210670763049738 0.28824316738838768 0.0082743861489577627 0.0039437979255447352 0.73048279590255016 0.0089233032410625628 0.49886870899187985 0.89075060822673002 0.0027568833276659464 0.25033741179052754 0.030363186806102498 0.0025261181506445246 0.0043378392737327461 0.012860459874420856 0.027504753663823506 0.012615604899372912 0.024683996614039742 0.0079426757254171809 0.0044470510425858598 0.0076298997877500977 0.010281798528698167 0.48253046293933949 0.9491732171341748 0.013932130108188633 0.51161334480914877 0.0033676779105004198 0.013170673103336826 0.97628690801158147 0.010998258896496138 0.25157140862826738 0.012291213334148208 0.52282343302542311 0.467201557089995 0.0055488487586025032 0.013553470435629275 0.0032608244977340903 0.0068313394051378457 0.0059958591336628977 0.0038662078975324576 0.010164618247181725 0.70405714975679656 0.0053457696155048027 0.2124731276876477 0.0098610387137002768 0.0087303619910670902 0.0083527801322989675 0.23867307422949069 0.48775274066615215 0.0029204796393897982 0.49085129036408459 0.0069268540246461945 0.0067410775700439962 0.97661817832704334 0.001879453679768489 0.011053271811391492 0.25177974196132408 0.24890035956297185 0.21442422309678244 0.24270607485909554 0.0041253270371318139 0.0038710909380858046 0.52427666549670882 0.47914869373214442 0.0291276808869953 0.012292814425002768 0.48777595578247468 0.96305884129694663 0.0045956298103134001 0.0038516122831149875 0.0049090218227476664 0.0037601038910964881 0.0097469050271769744 0.25636795704700904 0.98010772842588412 0.0043125043662086276 0.0056956646272824209 0.0068582342717442013 0.0043101049333339721 0.0076501241674680198 0.94259221723541242 0.0068854887626801798 0.50121727747677025 0.012433826146276319 0.0060690261170845599 0.0032682000389565617 0.0061796764242515352 0.0050335357986100535 0.18866665971773994 0.95860103726095169 0.98570566430057538 0.96559098381859687 0.95819099631878335 0.018310986341871782 0.0039786864959964491 0.011508525631215525 0.76097075532978797 0.014263349626504246 0.0048208905489710071 0.25985255395880602 0.013327002885831257 0.0029952261148165921 0.0048036637508583283 0.25794543074786047 0.50286751526547024 0.016996807314275199 0.0052299522509020721 0.018818644990787475 0.71774528997439035 0.49842837765417147 0.0070687302354282182 0.25809389874727628 0.0051544830126743612 0.0065030107500444545 0.004398147387192239 0.012430683232207867 0.28105886158557397 0.24812051118008122 0.49852484662429486 0.015043351042144068 0.0041226061562952433 0.25859057548920716 0.014933696454295185 0.0037446823908451493 0.004844070414348616 0.015794122007497718 0.0058207571794628068 0.73844666798750036 0.0061640928373732388 0.0046041600244581572 0.22656569698624274 0.076289691666942258 0.0026013295950596694 0.026753762045041179 0.033651355230462948 0.010844219483933612 0.0050463332562878348 0.004119915767004702 0.0039496664224498382 0.0045798074142669332 0.0030774867541018196 0.29129948605245543 0.012367789159371013 0.010084595543299893 0.010627292842482145 0.48142036273138988 0.017151862549941048 0.0097691377952458872 0.002068027434455293 0.22917041831256918 0.48799640423213303 0.96967853685402938 0.0026643566924995339 0.47790510962904154 0.53275868733887355 0.0077673848520820044 0.012089680684909307 0.012732314719476067 0.0047493302446030283 0.74006499780746859 0.0035515592011311223 0.0028751566505111461 0.0072259508361609201 0.98095918157442363 0.0090194523206695611 0.47659639923916969 0.49714514714148828 0.045237601582672114 0.0027910887453875995 0.008667649225249343 0.054645388364171682 0.0051881280104969637 0.019169793509771427 0.94974032781049389 0.22483310434618736 0.71899459045412994 0.25205923607966602 0.0019883296010889621 0.46386929853254028 0.46345796519657834 0.74989203695580176 0.2450885238378368 0.013553161229490325 0.0089924289568760786 0.023107218498531229 0.0076482188498118 0.30346987591640362 0.49909155187445053 0.0027540152207020828 0.0060122425055027144 0.0041470635109195127 0.0036034351033205477 0.0083622156122012525 0.98973032249822734 0.0020290320332884181 0.49587259272010886 0.014684218803855498 0.0017235349937741089 0.0082072508923911949 0.2273687890779183 0.93740662460025237 0.45766081112737866 0.0078510230294062677 0.75512844527272172 0.0045613437994207993 0.48247419934244423 0.01530402180627596 0.25778854319052824 0.0093980861676569282 0.0095935282684635366 0.24185462536326652 0.96604473072394947 0.0028285634846814834 0.0022944886842694188 0.0097993036222714502 0.47865564476690159 0.0024331226614315144 0.017960387059457985 0.2538769242186194 0.24929949897605985 0.0070085141565813646 0.26504254950648232 0.50573756499470501 0.96150496556803666 0.0048771220379820466 0.024997311035770745 0.23904160479698394 0.011437861865052634 0.53045720750652359 0.006203190272752207 0.0064237732098078003 0.25517567345291731 0.0076306068348838746 0.014398615613639337 0.7325987391194817 0.46587854671970252 0.0026476614770946589 0.21639827905598039 0.0060295099102364511 0.0050341006861717033 0.0047955609086056455 0.24053280535015109 0.0057839599756537192 0.0043677812085988104 0.002096101468022311 0.49126087307777283 0.0071403542741830337 0.4446336462204481 0.0098301540752598615 0.005813838143442023 0.0099118611530021605 0.016992526012601816 0.0023851500024399002 0.0072899693536202497 0.45727917680259905 0.0078258517344394728 0.0032412091969795378 0.0050355598336437879 0.0040134606209471018 0.4843536706234321 0.97026291339589199 0.0070540983237910139 0.50423194489568368 0.011362748314119389 0.48311315122005649 0.0058921040735773591 0.010332779468822958 0.24792453915022344 0.94249409600219614 0.48704166390695747 0.0033249229564923108 0.0061299215513283736 0.50102348605838443 0.0031265949683581032 0.0074825844754215672 0.0041689300018437191 0.0055903743865504067 0.73729857711814328 0.0068764737200374057 0.26326325831543135 0.0036304056721594251 0.00721749937235165 0.96885654093470586 0.74726230855664133 0.94111924837653338 0.0073964693482017176 0.0025426085481784245 0.013149947884638826 0.0073889205748088891 0.0059727454081681397 0.0032809001851258897 0.0053145400172827824 0.011282232945522476 0.010911747985733295 0.49428128420606071 0.47523889308830258 0.96989187828319645 0.0059477638008676795 0.49263340842688952 0.0048640784804734605 0.26475159621475941 0.0058812836025122529 0.0074486433381454522 0.010583702201127504 0.73439547494717206 0.0048418802285965772 0.0038554669526961478 0.98425669207348954 0.0070155712099420429 0.27020422682387313 0.014792601835387276 0.0028698447560347915 0.0068390848825256936 0.96700486109274508 0.0071809608444273528 0.0024356703966308957 0.0041529246544974021 0.50440353025258178 0.96310344244980928 0.0032307060986875328 0.0031018721211212822 0.0046997429923002964 0.95603271794441402 0.72494078355268943 0.75517366562392463 0.27314528787041492 0.50729073215840437 0.0046802532705400666 0.24623244812563136 0.52184902654903609 0.48606788461253853 0.011090107295800275 0.0086997014398219382 0.014120934639248166 0.015221187262541819 0.98451968654743061 0.0088684755293231363 0.010170638305564703 0.25405368464447259 0.0050527938430787282 0.006672472996166379 0.035181720965353734 0.017574309376946651 0.47851599726276173 0.028430918944130714 0.0065397199906791562 0.0037349199663010649 0.00226454193706584 0.0026623046135329457 0.75387449834531239 0.27845568573720736 0.003176828609806657 0.0066037357780387336 0.0025046168875626257 0.015700985806205409 0.48696676028135677 0.012005916915023042 0.74159666252170053 0.0028162127334040738 0.0031362518694787421 0.0078747851668229587 0.45591295417409322 0.26503307877598881 0.98594906088263579 0.25695195440958385 0.0040960192982854981 0.0050305816489131273 0.49506977308822631 0.0047604935674887567 0.0098991364899105663 0.0045273632230739564 0.02335516635841306 0.0051048844071709216;0.020378786597809138 0.0049215247266293999 0.066974032569745198 0.27436992834335339 0.0095826474869596806 0.0060699169569904754 0.0069137487892948274 0.055453727499722751 0.053353030493069636 0.29714470197819187 0.43435291551212196 0.15645290063041833 0.037348227726125498 0.0060263256921104019 0.29599020736980802 0.93067759529095451 0.12098101507848774 0.1589111252578321 0.0057820678772387678 0.39909503243863553 0.0051105120677988084 0.061777926746087536 0.0045128868010697997 0.30589299015686722 0.055517149131609649 0.2330385892751197 0.39720408586430883 0.006083177978280928 0.12104257789044785 0.20284962911279961 0.15882723286197814 0.0046529762466747671 0.12297067296308155 0.25998917452337361 0.54827679357682535 0.011497676785959018 0.055511332413191637 0.39493218925602291 0.37383118102956842 0.0041807233206258591 0.056592041705060575 0.10562804930176371 0.48481357787371315 0.061319758031688043 0.33636266396663295 0.0042118193401756701 0.0042258077127220808 0.0085239538020615187 0.007247770942444119 0.35735469924311258 0.68131028344040412 0.008296762918187043 0.25287283564054269 0.055791321777107036 0.059664852482556714 0.11053735832784661 0.012876513218586082 0.14643873085430822 0.15399571209257593 0.15823086419104074 0.20892512466809043 0.010149975571864485 0.25176083609970962 0.21051276673135472 0.0050072316749839446 0.20037249969131299 0.0064599711345247578 0.19220278181713321 0.50438440449467881 0.10221857937726497 0.17839033369952809 0.012256132148586186 0.005531450705181332 0.0096198487599207985 0.065259030986623154 0.11096520961895642 0.057922133167157615 0.053632952996966687 0.3052735731682486 0.40315866448092141 0.68910412161679191 0.0052944905132064173 0.25366736273911755 0.22450829467208672 0.058850909760205058 0.0089428868907418541 0.19209366954256488 0.04689774284287352 0.0052684794526314397 0.20441635624878277 0.25214200549861915 0.34473044975435174 0.067909160619418943 0.10304694049068144 0.011780838439412415 0.008895196007659709 0.0048563699835334527 0.15401467793664314 0.007382159460260735 0.0093694363263611292 0.35743798316078423 0.060725464088371026 0.0066638198872799852 0.048336151450760825 0.0074397238312133261 0.14349867337853586 0.064707961538174902 0.0096446479286052215 0.14826491221181384 0.3538939062281734 0.151496610291493 0.023367140326977516 0.0077582122465047563 0.0046748492337687301 0.0078800769138983595 0.057112322292764729 0.53827573812576601 0.36983012294340767 0.094022801819894891 0.030833571530955398 0.0067269171857643022 0.005978492319772627 0.056518442527414517 0.41293420044900192 0.011997140040550176 0.0096327309104011077 0.59163474164971297 0.25651999380134444 0.0052870955804782934 0.0097452891823331198 0.13496265013974468 0.28420668039637798 0.011502594145825655 0.008473965809890625 0.19885022830727295 0.0077751609776789453 0.94528581239036946 0.008358626322875741 0.28318631955668228 0.0081644599039426176 0.0065066543163771378 0.0033248395084355237 0.33314755845683935 0.0067979292725729341 0.25967900382046127 0.29092381229553116 0.19773731261198041 0.0053356355570748672 0.70443153326977537 0.0069262066423050883 0.14141449080465263 0.0080681750543018446 0.27521454673190349 0.0050273209959586463 0.15191011025213635 0.0058484755899757494 0.05044948219048434 0.10788568994681019 0.055311980326977664 0.0079068026681478783 0.38326654187542353 0.49398386536401073 0.43763884938594838 0.058958762731140951 0.054037271515260325 0.056242198749250946 0.057613840628916994 0.0601851469271103 0.88262910917226134 0.0056351579751302682 0.15219088316114252 0.53568080690814035 0.74409309416103497 0.35036370584068532 0.058823121359381662 0.10700008171023823 0.43061982652530872 0.27576347023131348 0.0045724126382242119 0.0031084687608480713 0.0074371022125094381 0.63418241577197476 0.0091124733163460807 0.0086152961864146213 0.053570106478741837 0.11202409193373998 0.17818118709319164 0.0053985136862682572 0.0099401289884938175 0.007649689227930254 0.12299066564930347 0.058646440707882025 0.012494264242884006 0.0070546136050139725 0.55979451957139181 0.0036615208306497336 0.00623145887743096 0.21650838059245603 0.20050678027928351 0.0051903468450217932 0.6454155033420057 0.069378288622041359 0.057816386326052349 0.41701879663861774 0.0040430836566981649 0.24424240813607362 0.49498495673851267 0.76106996099467938 0.24462700914269928 0.29568137804610417 0.10323761163393168 0.28257584386356954 0.0036456106314554358 0.10441966414984769 0.32216022451461579 0.0069078672857909333 0.004883301753424627 0.0044458614218400331 0.0063237963282387066 0.14714170600357421 0.57841277613332842 0.0061952698101570818 0.2076608183831615 0.0072963678515418733 0.0088136313900773009 0.25164592922434981 0.062928825679298681 0.29596613796357779 0.0089055801316090082 0.0088852174801853211 0.72971225381978044 0.0077354578253356152 0.30008227376406532 0.0052734732361504515 0.15149561846695461 0.19222409721503109 0.24826232806886628 0.25249894892931596 0.018006972163856515 0.0029563771254663873 0.0072403330794229967 0.0077141357938908858 0.11386209310903544 0.050535371479377637 0.57065202717168906 0.53449012022948428 0.05398434777447058 0.010758262730100956 0.72125637433734935 0.010195736068514708 0.34721090511085501 0.0040809076006255275 0.019614039744962307 0.01130147102343294 0.011160897777369096 0.73887328339819924 0.057898552758407107 0.0082431829816594585 0.0071913405256477684 0.16129488187916344 0.350315265472457 0.20051710281354485 0.057729070906134348 0.018007121962498207 0.10072006968800454 0.11004636381643765 0.1686571393969952 0.005068362907679703 0.15205471005686441 0.0067939055957103225 0.10058317210323187 0.1763704926194514 0.20364335839544859 0.18564665244232467 0.0074949179917021356 0.16519274716727123 0.057107159641393276 0.0074957875944526584 0.0069153972130743353 0.0069467336598274679 0.059307895102997214 0.048055078620184821 0.059077081639131807 0.0059974222163471386 0.013831881023900414 0.050017109405894183 0.013349225392546335 0.86366487112496559 0.005217132110883693 0.44179478184270593 0.057218186205930784 0.0066494580663794128 0.0039274429790388862 0.008617181950653913 0.012097255511098255 0.64283901233820018 0.1952738031903028 0.012106494849225668 0.16129736670555098 0.0094017034065669303 0.0051539257795420301 0.010016462560134934 0.16485802151201626 0.058869620166837111 0.31365376628635244 0.11259597040747711 0.26898424040898927 0.006308908035307802 0.0061059623125852523 0.13828016586011857 0.43267496981427572 0.10502844591237667 0.10164878502470462 0.0043210409258483823 0.01022642658666718 0.10514025719212902 0.057944068143041136 0.0071188023221603466 0.0067853067006703556 0.20656109139349374 0.10752543183229495 0.10755760853425449 0.16753206851040944 0.86333583123043667 0.0066950478140289735 0.44658180377003137 0.25110683376833653 0.58644393145940144 0.0079332109092990506 0.10780348661772857 0.05940100003950103 0.011904404996136982 0.0059487770180733975 0.0076670415707544631 0.41858250631430327 0.0072309545343522972 0.42090381521828324 0.20477762301078933 0.058073162042893013 0.055765898828985076 0.063117600772321134 0.0054109090179033717 0.012230092761744662 0.0035368820723370871 0.18048630738931415 0.0138900412132808 0.006318883871746791 0.0053204486357677303 0.0056613891343690109 0.32494791860967509 0.45590522610394646 0.40040507553434734 0.62513116575637118 0.20692613343291855 0.0053459803703003175 0.30786135933812586 0.15847814903034302 0.16312028316340713 0.0061826631094638249 0.19251093954050758 0.16065374480289463 0.063840396258283388 0.59845636054782669 0.0077761177108944344 0.056583344843563393 0.32993518378002451 0.1538048527771616 0.19567948926416451 0.7343616214741755 0.012410100444138615 0.40816988423560441 0.058717368273049513 0.0068628666701838351 0.0068738220767338241 0.0062424977845065592 0.0072007441246850698 0.26469540514417461 0.098119773932792059 0.0036387639759729654 0.0052287421846482132 0.054785801653670051 0.21082906916741778 0.63784087030952386 0.0082199903131828771 0.41211558194280445 0.058094913201027713 0.0041162698558408735 0.0091509091259866695 0.42241079530011927 0.061529049335650822 0.7811687965373646 0.011289283676229309 0.0069957431556544741 0.007333910233513298 0.62619125392015706 0.056832220137826107 0.4538939212661493 0.055315788074816651 0.086722841885175803 0.29384438102620936;0.99320084394250463 0.0022230994141385261 0.99001755478586406 0.0077634796348538121 0.0057180354366061208 0.0019352427726171901 0.0021513223746704637 0.0019114513638171116 0.003931864380955807 0.0040172846090949631 0.98589145180452886 0.0060021080961239759 0.21532668945923547 0.012937877239218602 0.0053201877459007132 0.43742491115641657 0.0081604451865189311 0.20581049195361997 0.0048411056088001492 0.99313339534034351 0.0027063960752581858 0.98609862822070671 0.0026156734790319944 0.0024521705136335511 0.79479811257271638 0.20772421246178396 0.0078053217125751591 0.0027198323080228947 0.013553978281027411 0.0022349217138594585 0.20673721007845691 0.0021631631731991716 0.0029351146939858843 0.99379538855272265 0.59801576574422777 0.21114278875736797 0.0055167514546215664 0.99327365177489346 0.0062562052137724077 0.001440643931843438 0.0032450120567572086 0.0031433543691676952 0.0056870202046240999 0.0061755153379129506 0.00954482764224324 0.0012870729993100598 0.003116453781346824 0.0014434559588190729 0.010319510532631795 0.0069695744744895805 0.99809798358792101 0.0029304334109939477 0.39497975640027583 0.0036815902250780627 0.0054157049543834624 0.0013766856508852301 0.0010984194775299572 0.98960570330351905 0.0018851896713651655 0.0028954824287270794 0.012069042722631132 0.0066606952831996403 0.99500167441640941 0.21319266714333604 0.0024758583581653052 0.0065248449477299485 0.0024093710085342766 0.0030706067597944947 0.20700722310852318 0.0024186321194356146 0.00924696618216065 0.0023908335103944071 0.0031746023010304474 0.0054984056505484203 0.0098292924204742404 0.0039803820966717602 0.0047661585202229692 0.0018209273971692835 0.21844731853647184 0.012045833138031706 0.79239715005205835 0.0022385698493210811 0.0015597327080697865 0.0071009028965812225 0.0041303294351458684 0.0030869363301341359 0.0095614534865791044 0.20421886343381163 0.0039007778148139965 0.20480072958708301 0.0021063973586481406 0.0050864930384825237 0.0026493812891291942 0.0024757802456785321 0.0022400716906838527 0.0013733871705616479 0.0011307454016657096 0.0088691167167656692 0.22141342636962064 0.0031524966585885195 0.60816635965549326 0.0025665552928771031 0.002578011750420702 0.0044539318155297665 0.0018813764520518072 0.59645660699606806 0.0013912787803354173 0.0031928454684269723 0.0075769453400137722 0.00056121843090310133 0.7936317000404286 0.80244684156016932 0.0031026708760239956 0.0021676764619626612 0.0089208286096286067 0.59022669984777787 0.99780422658082002 0.99189293953671354 0.0031966282162674566 0.0038100660064689868 0.001188633144668462 0.0031025679817399312 0.013534601127322977 0.0034408853176305142 0.0011510612136401903 0.0053876381011959953 0.79577033902230587 0.80434176529430346 0.0017134299366028248 0.80651840481944348 0.013162570195247188 0.99017119793620434 0.0059533534505976137 0.005724789313382374 0.0039167908580358011 0.0024870209038551456 0.99872807012676168 0.0052562149071278081 0.0079714723463156379 0.0025330520978842901 0.0014005247338365729 0.0013705027457089499 0.0064751472604529228 0.20033302562710456 0.0092322921453516331 0.0017397868561210507 0.41441356938453527 0.0034514614430174854 0.99962400580655553 0.002586131557916089 0.0043573186831068903 0.0026794123407727086 0.2149006716806405 0.0035793781801640103 0.0039337144797252374 0.0022474470614618496 0.41901253502280011 0.017529782963763757 0.0076304718741605536 0.5940853585781537 0.20874224962832338 0.0034124169122843363 0.99566702685968544 0.20965160822237464 0.20945849106607828 0.0021596240356730433 0.0013398138928692729 0.011215114265843193 0.99333483315752891 0.0031499642394674883 0.21090473649668987 0.20857010741603568 0.99736144225194634 0.0066768342290412048 0.0085986807976356789 0.20415855948144693 0.99456819413518338 0.0038339250195751399 0.0019254467087386599 0.00054111217575163271 0.0028834513215132327 0.21961841793737041 0.0086038369112596009 0.0038475934880629241 0.0015535536668366413 0.0048727737285876888 0.0034188912736501879 0.0017870939325272434 0.4028815718447204 0.0012795519302742195 0.99449666507259404 0.0022391134420626036 0.0036035218948231862 0.0036528843500099935 0.99461530316511926 0.0006181452757057067 0.0031619607208306128 0.00088998951241661228 0.0013440677999811245 0.0057693230203028911 0.99682506667732895 0.79259659243210334 0.0069228105565762761 0.59928813123992408 0.0022621629231981549 0.011817973368818116 0.99581740648362094 0.60867082665950067 0.9961621239929116 0.015499777230675821 0.99267711549678617 0.2027786605820554 0.0025230598453085343 0.00529049054830554 0.0064260077052577342 0.0016932261905900584 0.0024562097155566322 0.0057148248856533357 0.0013486373432748753 0.0037961734878965351 0.011673266697113792 0.0017958303013748211 0.0041266577366043762 0.0024644668431634356 0.0023985675561744085 0.0029809480203215628 0.0037861678235814457 0.21608245297754361 0.002352576581692546 0.0011482071431122508 0.99577550940750725 0.0032140458198243482 0.0087365329069015226 0.0064988489874644546 0.0049721106259374192 0.40942148593444339 0.005579382741554507 0.0071082748548984692 0.00086423729160069391 0.00092000446295130911 0.20525749095871115 0.0013433374201965085 0.0024362388876333022 0.0028142659209840328 0.40098585940932441 0.99797613655775574 0.009775351596199711 0.5944769037860459 0.79591073086135489 0.7872934029088936 0.59373335516554115 0.0017816345306632306 0.97550420424044981 0.59854137753617043 0.0041167814370257697 0.1934788515802697 0.98667925522272937 0.0036399029075751058 0.0041575778381854247 0.99346100721616137 0.99069047030572654 0.20997904831448383 0.0043734395054419381 0.9966726095042161 0.79239043246878682 0.99227968718267345 0.0069256457552737101 0.0040882544616479884 0.79608378865207041 0.0026636932198136056 0.2152839358991249 0.59464555356296689 0.0012988650059817296 0.99298547794604164 0.0012759626528800665 0.99551907800352946 0.0049969807678831102 0.0016854527371949739 0.0048727111713979419 0.001336418528610672 0.004449771323313618 0.20190182491013869 0.0040331300414167843 0.0020526459535125056 0.0028252525018276713 0.0044935751556800831 0.0012387934915355269 0.79864379722468315 0.002428491336821422 0.0041817005386593055 0.0024492047735623895 0.0014229044357886537 0.0014677429997261311 0.014800876794395682 0.0058294462923297466 0.22010491588785203 0.0090349840136437782 0.60367569012840427 0.0017077449333450529 0.0016002369397045213 0.0056822575584942435 0.98513795102312585 0.011317847884781676 0.21202900124176979 0.20903524468208248 0.39447403554309651 0.0023462045669787822 0.004462369913294701 0.0034974375699330642 0.0027736443951788823 0.41659823342102786 0.0049703018907793816 0.22059072281115025 0.20127343802051209 0.0029147792523603849 0.0016251397595978068 0.0034884226941868223 0.0022898969620505959 0.003510280841871626 0.20904209897494225 0.0014413363803824067 0.20745234479241323 0.20183349189555655 0.7926612852517545 0.79187949372267108 0.0057238721706504682 0.99122112078735936 0.79118920734040288 0.0039121711861406019 0.204053128953229 0.0026475489703011784 0.015156795154438536 0.0012199171476046343 0.0011833324549802723 0.79104849747727157 0.0024048145792777841 0.40073998215474071 0.0023376137959291374 0.0076341832842156676 0.0023971193698615399 0.0063580819816224576 0.0073254256409567139 0.0018026015567816495 0.0013352791189201823 0.20356278486921975 0.0027545417439288362 0.0027437043400676238 0.0017242077900964754 0.0043649546061229668 0.61195588714229077 0.010265667580085657 0.98906825152075728 0.79114890340878896 0.0025003372555512772 0.0020312931326508677 0.99664208023766743 0.0026938941186261155 0.00080172871876435731 0.0012996012731138239 0.0017790957724232264 0.40508804844444601 0.0027329300471320224 0.0077325212999282316 0.0024281400052987255 0.0024458116875444294 0.99607626128228943 0.40509432465011741 0.015812662996685697 0.40718384809864699 0.0042809319057187135 0.80869522040387487 0.0015511750263876992 0.0050940361443398315 0.0024719427626496665 0.0025586046651711707 0.0018127467244632646 0.20579887025495011 0.0054397769864152302 0.0010698911581913141 0.0027432054463780633 0.0046532227268549402 0.0071011886797338825 0.0057425605255095654 0.0060467528603470235 0.0024103817425652654 0.0074740117354873212 0.0012976462833759975 0.0059435556638674919 0.79914879980294107 0.00606947042422712 0.21638811000550315 0.0036278479055258522 0.0010496373525191534 0.0024419619342415243 0.21306839464568214 0.0043285786016982195 0.2241392382396083 0.0046397064951490454 0.21603982834679952 0.99500119929768704;0.50512613909898774 0.1407070558059447 0.25283419987787314 0.12460182843642197 0.37504291209653751 0.50451706095539794 0.36569274652768274 0.0032488019670028827 0.12582834931794756 0.62511715534419166 0.13303653200912857 0.15007550487094581 0.62670361885693116 0.12900493406401009 0.26467871082403382 0.0029753719865492434 0.002708062296717838 0.75977624577533387 0.13921879807880375 0.0026241432090512518 0.0029432586699230509 0.0061624934737653566 0.0015777792455251582 0.0037363188399740623 0.38553318510372458 0.0018932896220055064 0.37751877022812547 0.25100721869879045 0.39018149675202979 0.12758244590627599 0.50040006434597917 0.37112920985391595 0.12980454660331966 0.37267513928806278 0.011792672769990149 0.0061390729995052951 0.12913461889316558 0.12898137019028033 0.0074059091804433534 0.0041733434426298142 0.12394520324363754 0.12708112345840578 0.0018490143470345016 0.12975727177290486 0.0099747691029604575 0.14685461179855783 0.1390265844095811 0.0024070335760223915 0.0071229972580401464 0.28227652414528742 0.0018541243237026909 0.0032547842346611964 0.7384227791776119 0.62788147671015815 0.0020284444690310097 0.37818946906953255 0.0021121364060325476 0.99400978606343449 0.12731858641547572 0.24405690980269887 0.48668658040326324 0.12987552192043764 0.75177414683107457 0.005403665820203447 0.0037574197688820155 0.0055165845162625776 0.99358918391349971 0.12407519793711567 0.0030593599670652276 0.12538824152188363 0.0036156659286948815 0.1335010826047936 0.0019817306971815982 0.0062708579567251491 0.12800006475851783 0.49485635098543479 0.1341334374733863 0.13187027168193499 0.87025557939223108 0.0074381578727016097 0.0039413711461456103 0.0014500361276135465 0.0064433987936712888 0.37597098088486108 0.25068659854391362 0.12701283474570138 0.0019287091169449967 0.13129324049721947 0.37465441011218609 0.00099443493189765126 0.86602555177405693 0.12994439763423477 0.0057308795113753686 0.99174449004572707 0.36199573033282428 0.13077159820127288 0.50701989306951833 0.0082402714838221078 0.37750406690984983 0.0038272669210570875 0.62882900465444247 0.0049557326901347671 0.00040225563442008669 0.017616642262975296 0.39213624469280028 0.38103770405689003 0.0072147725572140036 0.0018495242260924063 0.24898999502570157 0.12267345732843485 0.36081893079022775 0.258402955735694 0.001202321804277835 0.00096662828629872819 0.26408946196829952 0.62176241604965354 0.38196073585524781 0.74570950550252113 0.0025905621415084415 0.00416573275607469 0.25549141136403486 0.0032926007063845907 0.12548199545985023 0.0050150220640137449 0.0063818976868034588 0.0018276905514873535 0.00076495942588061859 0.38117961767865904 0.0019184486147299992 0.73150054366072537 0.0026906475134390699 0.36778570893372919 0.0051392684781355431 0.0035396103837371791 0.0053369316433547944 0.13421443682893244 0.0068498723198549428 0.86974346971048888 0.13620048744705568 0.75076976069199575 0.15638931611415291 0.0013464717189275695 0.13491023711474848 0.38238374007147152 0.0053147018489187407 0.0058864085372396548 0.13147729545934633 0.0034019376195320973 0.85932950950498344 0.0035928835657937559 0.004828925372067595 0.12574664382638082 0.0020579254748936135 0.25656762383859338 0.62183753680702725 0.0055101909293596178 0.50378097005355815 0.003128412070664951 0.012068136897178774 0.0051811720368498551 0.0022252552576704126 0.9995381811915981 0.74555694594311683 0.9957477870200041 0.49934239612775144 0.13375188925028159 0.0064967722940495179 0.6245598043416174 0.0030935577681464321 0.12560674266815866 0.010848018196429773 0.12800949267460715 0.61939589668022466 0.47856568604134153 0.12691924128507448 0.50625922236257204 0.0023412419210753488 0.12468414435729412 0.13118596966558285 0.0035087245757572422 0.13015856234405948 0.38322235434735996 0.87333821612107609 0.0054222217968613179 0.25585633203893726 0.00771744523363485 0.13294305822378355 0.0047910282241706969 0.12260469626940336 0.13235111251650084 0.38035066728660238 0.24894648823605703 0.51646454703062639 0.26316390060578537 0.0046263080875754937 0.13394947010000133 0.99665935354341506 0.0052210329928486102 0.12553946432069893 0.13295724509972087 0.99216864533130278 0.99485997421127115 0.0049152079058394707 0.003221594309625867 0.49142684981229268 0.50331030048778824 0.74826351053936679 0.0063769021691129609 0.73677381612427084 0.98888234084175775 0.72824046162779288 0.013030140963225958 0.25681779083439094 0.87026382530056412 0.63407543895905705 0.0005409358533297751 0.003569187692020798 0.86390904352498021 0.12980934366666663 0.0078661009173359806 0.12549357697658059 0.0019860754013872003 0.0045184594170168063 0.2621370407017673 0.006709897923854272 0.0033624884222377095 0.62936652924505165 0.37221655568331874 0.1372656078173376 0.0179400362547118 0.0045067757637573085 0.12053726183453652 0.86948390416527654 0.002963143254367041 0.25276353715084371 0.1277361375972888 0.48369827167523416 0.0023012801408693762 0.0039304806490898228 0.2519714814447121 0.13252484006359014 0.019242044163213817 0.499536263959522 0.12641914070316251 0.36881642248349644 0.003466040369471071 0.25095646400759575 0.50600551706853969 0.74439106808781164 0.99560841666850686 0.0092078128040043051 0.1258643428889212 0.013402922163295927 0.26072297006056322 0.26320267218674637 0.12420617983322244 0.0022114231954494783 0.13204170698095438 0.24775209439903406 0.74496355895883526 0.49072257678220343 0.12720559567562753 0.37303485528373576 0.37681737421679024 0.0054820495092246383 0.87014081741304383 0.50355924432381483 0.24745904343577829 0.13607415462710801 0.0036989888504655455 0.12586373023366176 0.98939463124223148 0.0048609551011019204 0.13343215302508091 0.12126756722026986 0.3689036488550973 0.12498883982219022 0.14180323121583688 0.0014243021008424077 0.0062860448481275267 0.3860071964849518 0.38102044672766461 0.13014207314232593 0.0026418123708551108 0.36078342071874991 0.0013154869298230337 0.0093712998537755377 0.9949868647274025 0.12682515273122782 0.25580454240425476 0.50880499008087821 0.00086391791927410255 0.0012846885832265521 0.37853748671997994 0.74322538847965081 0.1337607446504005 0.0011412132879622624 0.0029997236605044742 0.12615378485496173 0.0019283769741142566 0.25196786616958072 0.0089834872375715684 0.0026357510689162698 0.6200284849510288 0.37817506783548926 0.0020719558618573965 0.75025222575147166 0.25658071370527674 0.25601895504425437 0.00053207476554039388 0.60940962496440243 0.0033884153323872788 0.49369927862624163 0.143312577668958 0.12981469343437949 0.11966470465529666 0.13537158070104544 0.0027947948363085799 0.0037831577091227368 0.24923532042198146 0.1285598434261136 0.0057839571042213028 0.50047317197331787 0.12880946767723445 0.98865969981163637 0.24992802906850708 0.13533880223135281 0.0026970803182331127 0.12458486525510956 0.99540190573627207 0.010386636361286197 0.86970768473043347 0.25677436795794528 0.14069849386625349 0.12739569781709903 0.1286239946245443 0.12552219106027235 0.0017734948011125255 0.13223149858419866 0.0065885580095097806 0.0027503777865277774 0.0026647823029722867 0.99327282154971686 0.12565525516118942 0.12813135800789122 0.12483154765788314 0.25388955038393607 0.24895264262944689 0.11544469446825029 0.48126082811863952 0.86417245811048848 0.12347178173839367 0.25396054233804205 0.1334186921432981 0.0026962495282464049 0.86756800958122338 0.62194004370424594 0.12863939986126752 0.13175076769090471 0.12442447064609212 0.87274075922275074 0.0058733089334152538 0.0015893902148277983 0.28197932058619762 0.12723575238200677 0.74459335791099579 0.36994124436983566 0.015059940662449065 0.1280949352276145 0.12241903412648837 0.12769409777588883 0.0029790941080171081 0.25061146364031189 0.012118949526616945 0.36373053039745673 0.012079165835693328 0.0034827703430985626 0.25923960177718869 0.0020391659984500855 0.0064544639357810973 0.25586098467401353 0.38471900558367794 0.74838368151623569 0.00075311755597198284 0.1349353980508434 0.25681060583446597 0.0038579713489679951 0.13525740320614119 0.12828097168945113 0.2507204156440288 0.49334236370214124 0.003610779613412891 0.10969585528076217 0.13638702643388373 0.0050644118301511869 0.12670028405048794 0.25560966368564431 0.0035679521474524618 0.37909878432345595 0.38690487855700223;0.0053337827900933818 0.0016046867199901666 0.0067276014181754627 0.0025515995112547541 0.021359065473433747 0.66557866156824796 0.002070716646333464 0.029552522120110281 0.0086085089995492393 0.0034247809126496664 0.029641885967832907 0.00951647026536891 0.98583810323890797 0.33049662933335733 0.014573583500877134 0.020746512523577385 0.0083818379966503799 0.0160986855749892 0.01679852299241354 0.0026167599635157474 0.017086230164018938 0.01100060623313494 0.0080666407440493047 0.0047217070247681202 0.014047140013694892 0.0057405241963145864 0.0063234256639290668 0.0079168979687665505 0.020383504462830826 0.0047332839846635655 0.67274545760117188 0.33245530194498868 0.0017549500422147323 0.0064905193779090601 0.0026182402763152137 0.65876699051958854 0.0036796081273595014 0.016500206756512308 0.0041840354518514235 0.0081512143322140726 0.013342671343779882 0.0030297109983431054 0.00074814711252053792 0.65025230430481928 0.0058403235941413868 0.0070580143088735071 0.0025757276948178628 0.0046183117196188592 0.024848829326441897 0.33098446775828361 0.0076718532029873745 0.001839386839201828 0.00254709256675914 0.0075965852657024126 0.32844162019287493 0.012454492880610119 0.0083026855958394461 0.98579682041780425 0.0045011281636006583 0.98588669139864415 0.0098828622293977951 0.33568069173970522 0.97821136553008436 0.0077098121767377433 0.0042946413419175126 0.0065581436530084223 0.67899347909931962 0.0055661996824015051 0.012935822550635126 0.0058419977662848115 0.0086683499449851514 0.0010991200732403221 0.0014499835205871031 0.0087143747252849298 0.0048562475493730871 0.33020977930321033 0.64358896277920552 0.0034879126436759061 0.021016519344762664 0.97550131574430787 0.32862077674547491 0.28989468265081825 0.0033506348413808126 0.0058461701340594306 0.68185935848864831 0.014228107925600173 0.0033463692894980081 0.0049966281220488263 0.0067335840858695588 0.0025223942290680521 0.020657478007975197 0.0064912327796388678 0.0045620882067359597 0.005999471406050119 0.0049776399776548675 0.6550950810435231 0.0014539501566616909 0.015582894410164069 0.0074264597303036715 0.002069579458025226 0.0077016640110220752 0.0069667897513812386 0.0032593520096484926 0.66320529220998281 0.006339072457517067 0.98657809918319417 0.024131636177394014 0.32432095030909314 0.026391288144497309 0.002973439853260775 0.98117504319836513 0.68037761348726666 0.001496768576047684 0.002269899538405173 0.012794532648838938 0.33962152069286716 0.023680981905077364 0.0099358154140906374 0.010125792901333731 0.0037359314055889705 0.64896396510967758 0.0032706711068377519 0.0098723624143007838 0.0052533914619351842 0.0023492175957928766 0.0022950300905653174 0.0040238176289832343 0.0027942645460009071 0.0033630720310845021 0.98872239055553024 0.0016189370498155952 0.976954254507447 0.0042819461725312107 0.0087957380608813147 0.64822687856976613 0.96657577137587491 0.0049540476367946826 0.037086174757578937 0.001279734705344566 0.97034994567672817 0.33155367559133697 0.004032981855017782 0.019498629291149816 0.015135415365696656 0.001508827698579174 0.0028514413996939807 0.0049365261813171541 0.0040509924045509186 0.97920154141704541 0.0026485194761038037 0.33456078447651033 0.65307516904664342 0.0047177576781752134 0.012344981645754417 0.0086951146941206224 0.0018050126294069371 0.0063898830308972109 0.0069501174109544879 0.015842777608051525 0.012837350174397105 0.0021876263619679936 0.69093233544644006 0.97031907071256773 0.98342454090682085 0.0071493560699499199 0.33592392454947106 0.9723834700508055 0.0054598026436226054 0.0092390574189462806 0.0040603611565443835 0.94161700689470784 0.63690863487745963 0.95285985642305504 0.009018506302770327 0.017229275448747194 0.0066262652788505565 0.011844466241446172 0.0096150429496999461 0.0032796657372308581 0.0054083608943348025 0.0063599030810565322 0.66206910847393341 0.92104452631871081 0.33071357778955285 0.01625155810622339 0.004356774818056592 0.0074678049763208494 0.0026320999167082377 0.037819475437570998 0.012207445901428866 0.011970690070356126 0.011584651222849844 0.99527681127654033 0.012475553140261041 0.009226826591661446 0.017547629233818952 0.0088961728653463041 0.011284975871880137 0.0027630384602121694 0.0044630294840075418 0.97500527199505793 0.97358994511844066 0.32792323507471094 0.0024321990401512191 0.003468459331890729 0.0061271542746841852 0.0057874563554609348 0.0032099004253379796 0.98768683352564191 0.98016586900068914 0.97355048581740922 0.00426285515257339 0.95739829620339889 0.0086012919969339647 0.017051011494646554 0.0029162808216892425 0.015738500249600551 0.96373340841396971 0.013744979685329161 0.0080198429464599669 0.97916829109855841 0.015034307801479031 0.64469905562978147 0.0030493164195375777 0.32035898908674854 0.0021973238470637049 0.33763550764194977 0.0072409951201023847 0.65568108395249047 0.66576063117153006 0.0086773326770027033 0.34694080959596274 0.67096263622574182 0.0042957635510621327 0.0038489190420011171 0.0059766490928042076 0.0024522023179642926 0.0023348238547189291 0.0021821085561535784 0.96750438139706962 0.6563128597900838 0.0027648579774260801 0.97304856981144483 0.0069454080720824287 0.018089444402246621 0.0035570679369576479 0.96576517380065374 0.65862769179818403 0.97835396573479105 0.010580237212624227 0.0051333224974971919 0.0025973949024532157 0.66695405675111707 0.33012616751833834 0.0055239792682970391 0.0042736855045359817 0.0028298994626391716 0.97237225388219684 0.0025001404161958205 0.013676664465152666 0.014042900734609436 0.0060976563137011379 0.0022510417910101095 0.96701830858326454 0.0019313516265636859 0.97263479279148146 0.99274257330141047 0.0039071368512192915 0.0051277646456814961 0.002200304181453264 0.0080153976685871705 0.98764844080741709 0.0018733139069946488 0.66324190066099931 0.0094718093220313472 0.97474879995769581 0.96312389064781279 0.0032765600714395014 0.0022755016614978557 0.012559820017665341 0.99332416674104484 0.0067498342929470379 0.97779069065584057 0.0029240284088777003 0.0044689517011119641 0.001927679520640331 0.65331336475713531 0.013066005201208673 0.011349196425573933 0.0074512931153132332 0.017598861712967817 0.0070240293879423495 0.0010389840660988997 0.0053958239756946988 0.97824119930510545 0.0035282691580502115 0.0039292293739195093 0.0070653113581513301 0.023626063048617446 0.0028722627711910476 0.016766404120534879 0.0032851581733142048 0.0057138633700271144 0.014989512300924863 0.010584703120146871 0.0031899535851015745 0.98016544337053002 0.66461250669943506 0.96146829402393497 0.0030645378370476569 0.32624548693576838 0.0012692250332819841 0.97213876152893863 0.0081579993445765539 0.0034259496459160487 0.006812433942564115 0.0077094492944394036 0.015062380209005417 0.31513792092648396 0.0078095801628764935 0.002510209314834175 0.0011373686740953138 0.0093078971828959526 0.0015119870884070239 0.028661169219126637 0.001946493554652255 0.005153131205399163 0.003398097044122366 0.0014080829867728132 0.99327197508676612 0.64719758340534217 0.63506093418044118 0.67014397628797406 0.33443023398978611 0.0032760558823873949 0.0095727181683697947 0.0046002880785972313 0.0060681667963201659 0.011157757096992465 0.0041745818051717445 0.98289989287621315 0.0063660848253524523 0.99177077468776853 0.0023155097855434639 0.0036870253444749065 0.0070800774022776467 0.95777605668101007 0.3364093427364378 0.32674171710211453 0.0097714179021999303 0.0069838299830184518 0.0060107535366703164 0.00889396013512893 0.0055947021457715398 0.0068997330642729775 0.97583816264080536 0.33238212328266081 0.33584646329174861 0.0063277103426816732 0.00077164845137988594 0.6358578333859719 0.0093601081627027564 0.0076651093357731582 0.0090226139158378765 0.0035507874814306572 0.97555909236377492 0.020047746834448023 0.0065645024006737388 0.9506924621525018 0.0030973770090295333 0.017854580780468678 0.0052033494058797538 0.002103173731692973 0.32822935519522917 0.0026431786455519053 0.97395976264947537 0.007905890222080901 0.002859261153567791 0.013921192018694847 0.00103793355764059 0.011515464535352845 0.96060924389210411 0.67070646654656607 0.3217990956273466 0.64592922759866145 0.97089175302318775 0.010206067073989477 0.6659084817656773 0.0032686906577974574 0.011715838060601141 0.35976341675389117 0.0027003389409757227 0.0060711860812758395 0.33850960165534605 0.013744176393229481 0.0015181758497610017 0.96861882913085351 0.0016717390053826548 0.0044298365925886235 0.0089945810862202078;0.0030466822164409439 0.0031180512077308214 0.0029235627329904346 0.070480902552069027 0.0019335890407771372 0.10393486618763298 0.0861777827804657 0.73287251845051493 0.093701178317731393 0.085944597849574589 0.915216129820557 0.016963300925650626 0.51872693383508217 0.014465965309928431 0.0050917407394690112 0.4831650320369526 0.069567410118747106 0.57090079501618263 0.43185947712842632 0.0038023905202652199 0.99165909013431586 0.44236734751348711 0.8256900469423436 0.0021800552686492276 0.013599373774300474 0.0019528273308763238 0.0034607595003198436 0.0032575520932539453 0.0008944609080454712 0.0012753405232872584 0.074342980349451943 0.23946644529833697 0.0066932399342328336 0.0025892886944246622 0.0010162258444441831 0.98819388380438022 0.16838157605669007 0.18310279613127528 0.088377397115406847 0.084270138757929991 0.50643152493515087 0.0022527970100099104 0.0036065259631843155 0.17098032008497727 0.4366892419663182 0.169137089839103 0.19405692069307579 0.024106384182221614 0.17509530432458303 0.05256418621557056 0.088288657913583923 0.0023509609265109561 0.16340453030894805 0.0025486076149759526 0.34537565136532439 0.0070444456418962374 0.90686574863750358 0.36232576654490456 0.08537620760124276 0.99678088857411851 0.083383494573495712 0.9384128530810395 0.0050947717600526247 0.24368188856209935 0.46803753124699249 0.088431240592170848 0.089418690924446598 0.0052595001449893854 0.35232086712310129 0.002170215006180812 0.16870995340097331 0.0035119636944437906 0.003440094958169616 0.24363562370279085 0.0051356012630453876 0.17576213665961449 0.33784477046132555 0.090689149205127773 0.085391430971103299 0.8246804061686378 0.011701531062473717 0.090690570685568114 0.0089795141723287182 0.34999477009515922 0.89663407384036242 0.0089738335999193716 0.0053289097441626271 0.009495081746492523 0.092171569512973645 0.0048817271223593056 0.092712006588789045 0.019649359860868618 0.0047326950259955342 0.0023062133456576497 0.0091111412818821475 0.80788707630779411 0.16552127388405011 0.093883769393983962 0.0099640890969060966 0.085200754100669976 0.093673004931462231 0.0045619282470016134 0.096576580214653249 0.32896532444579923 0.0995900676952544 0.71888622523327861 0.83085299238925792 0.16815224472424439 0.24313718341099574 0.0042303650870813315 0.83295207619519585 0.42741833301572824 0.19555953729135186 0.0030513690568209099 0.014989584170072633 0.17918486167876191 0.0034907068668327953 0.0071626364754054849 0.89483630139285664 0.16685693281836494 0.5691089911993874 0.0087682718132062742 0.16651301062061297 0.086632999136466646 0.0015304564110405923 0.56866820822517772 0.0026312734189241193 0.016754870417321391 0.012688655330223609 0.38786372642210237 0.0084994113088434856 0.76111803971053149 0.0012116930134995912 0.12073907873757042 0.7589023353607659 0.16800563227204302 0.0080120076563597251 0.012032193880854802 0.013680723310836203 0.0066674633714437007 0.34798693050480484 0.17058333647149071 0.089914403331363774 0.0081566887420895552 0.0015429844808381469 0.0040578945292196328 0.089333430437489258 0.089879199501309404 0.0088268321277656936 0.0096214435094503885 0.49243783730274082 0.32132473531607847 0.0024542710116084764 0.91453226676645372 0.59470186414533088 0.014451900593461405 0.092422516151695236 0.090746029161981712 0.096854071568646227 0.34468406902394766 0.0018630777011435151 0.094591315224102815 0.26067281037624473 0.10310105175739243 0.0038511505475361026 0.90212072485417028 0.37485232455055784 0.17148655921217992 0.08857497129890736 0.0012548089477207212 0.67538733653296923 0.32893498846790498 0.0030809031847827085 0.0015936881495376212 0.97935908174476993 0.014379131585223026 0.12310156549066083 0.0043607113971126238 0.16628778995153523 0.10124716533080898 0.51709728767735819 0.27971152325390752 0.36404638518996824 0.30764683964578687 0.0064952025164196963 0.023695230651405746 0.0080476737409314013 0.084537410782549768 0.76039836486869683 0.011735849442377211 0.25530814955042347 0.093840835475889853 0.52440356371129571 0.32866896291680636 0.01423093896757985 0.16474189661254476 0.087725781373549389 0.0026947944735078713 0.0017003952430345438 0.0049015769687217221 0.25615216783358374 0.0084939248807663886 0.089972703753513211 0.0039650991242081417 0.09810455084832656 0.0027120456793852028 0.16795613238707097 0.0012979237291611996 0.26625959488126266 0.31980313199299226 0.5028203339645988 0.34727939312423656 0.091754994106703222 0.0062174344611328671 0.17324823265491232 0.22915311103234767 0.41066569652598667 0.17194304549486222 0.25258699746534136 0.14594180484473226 0.80645233875159805 0.0068291093174431003 0.49041834852056226 0.0091134434127729744 0.09205036877768101 0.0019428462299447725 0.82988453709578647 0.0055221174484315835 0.3530674966103301 0.91106118281839932 0.2666107633345583 0.0063339780180003743 0.58853421311866716 0.011697812490261902 0.0014979617240371045 0.083459432333199954 0.0034487099693812093 0.003780616844821518 0.003516076434780799 0.75640383525596289 0.56734461782689638 0.015144109744789483 0.48881830732110504 0.08449608973828962 0.076293461036253396 0.001991406583718732 0.33888601706232047 0.42466181544620107 0.35400381775744594 0.32817846919702509 0.0043619489723684211 0.0040739266257408743 0.25962674344627767 0.5786228756299362 0.013726145572254291 0.0031005282656667884 0.0034366509046486887 0.017013772466659433 0.16416205991590463 0.0031302665982514272 0.18499684532219571 0.006295287137585797 0.089095813124069528 0.0046378901722698256 0.0039537236308103962 0.0051446289557549787 0.67528738031591795 0.0018905759973639525 0.089934173842221882 0.0029399360701821281 0.016247447792946658 0.40871365962381945 0.0026621102006919241 0.73746832156656994 0.73830303570326361 0.15062204879412577 0.79989457555157029 0.021622500366697647 0.0011591905711242413 0.0086066286195551241 0.71500507835055771 0.33026129246198682 0.75037498538860037 0.089351994910566432 0.40834796364444537 0.0070451541772657781 0.52613547100285762 0.16255513080870099 0.090433630086445629 0.0027353997394597733 0.0056925518963401554 0.34626987824065142 0.0041425630682910327 0.16348037701601587 0.74007408400420815 0.0015486592911803459 0.001813445261810481 0.096890375244219631 0.24943626124442969 0.0022984794377836262 0.33478857963311276 0.0018638065684932099 0.011758148314629813 0.0054015299660189735 0.0080139865856191685 0.0051040816007819441 0.66672037592540645 0.50485039480879124 0.0084560189493519643 0.0038271070212953992 0.57376714599698986 0.0091949768330301593 0.44280174119283311 0.090431333144358514 0.0077693178570311244 0.30657370532038691 0.007061023060873672 0.098698680050954293 0.65261628342396083 0.75253516340577464 0.084932749906435318 0.0076362338298799287 0.089835589094636542 0.0019332123650219522 0.0069137399705798538 0.088357406794192905 0.0059171645570769791 0.014988641756245192 0.0040716388723721041 0.74381769892742589 0.17295010765976912 0.28417585078604901 0.40507258914202748 0.15453764327124742 0.0069354743886577488 0.011830995849633475 0.16141470538026145 0.011489492196251028 0.18538635327398392 0.0065106622535006063 0.17746927291009432 0.26507226790097854 0.42832837135521729 0.25663321580317255 0.0031230986302566975 0.005251837521171825 0.037750138263309085 0.66214681647748341 0.23272844436954754 0.0028397164387058667 0.0050999598274726211 0.0079176424146469252 0.087323940476861456 0.5882744799697035 0.087650116917920101 0.2560058742020801 0.17173831200687317 0.096466994981936033 0.17532840151599963 0.0022128305974067771 0.30188936497793312 0.090526841328510715 0.0093078743214757304 0.39965189875296464 0.0024198792936325712 0.0021305845832988567 0.33709810410291868 0.093587476246704923 0.18521863288020496 0.0078254945531502345 0.40714978179993283 0.23867672332722731 0.0024462963609607094 0.089137839063020669 0.17036804002318406 0.99473431873075768 0.49276125164947993 0.0024177081454268843 0.10361504777182991 0.0016065815205206671 0.092124215923678754 0.10953879235436455 0.76755699375497088 0.24382637944546964 0.019801234771025501 0.26073710940759515 0.24300110930018282 0.64602615382241757 0.003489475783863888 0.0031213622486047071 0.25616497200478144 0.16532639274396541 0.25292760128874431 0.097700441558954645 0.094341001959280732 0.0063158481484755762 0.0069060579802832905 0.087293089317041828 0.004091927653064523 0.078671664155939472;0.0065671389313622644 0.0089225267764943411 0.046897971490881998 0.0060127293983975429 0.00827145454322783 0.097777051282279981 0.0056917747570052763 0.91655561135048402 0.0064303169420597221 0.020913454169810195 0.0042271061984382515 0.0075914815879898684 0.0103446695707463 0.005986533305628464 0.95329939938382269 0.0062072818476642836 0.0068797770954724538 0.0059603055103646992 0.0062653513083895593 0.031595115628462567 0.0023424990571088602 0.065665973425880167 0.0023432279566823725 0.0072279374135425381 0.016928428959856554 0.034485047531589659 0.061160799904314424 0.0087843717298398318 0.01521076739466006 0.02490032004915646 0.0052389677814880155 0.0068608909989746406 0.84373188099502727 0.0073924931755843118 0.011015645236369772 0.0070730167330684424 0.0094114275231632419 0.0036394600395487369 0.011172745346717677 0.068651159029516295 0.018855479081884043 0.0081677139282445611 0.002787783759943718 0.0029582780608684964 0.010462271812792663 0.0026263036661155173 0.0017041964013511371 0.066285700155207031 0.048973275444300274 0.063592699712456333 0.015776117221001369 0.0055732031363213896 0.003541488348361284 0.0049765650856068945 0.0024847645409894568 0.0080998135770164181 0.028621224943653656 0.0096206948808439489 0.069160425194572425 0.0044613214333016271 0.083486660074386335 0.006537673486438033 0.82903952886109766 0.0051001937388959213 0.85752462418000808 0.0029025674417338561 0.025247994238268644 0.0029279080968287524 0.02039550976382273 0.015774476952334006 0.0030762201037420958 0.032419171176692498 0.021643126823242528 0.0067721653316924662 0.0095468862311641721 0.10363841258249124 0.011629579626529316 0.060367306890880594 0.0061115504244347568 0.002430138405041052 0.005025296849147585 0.007357684241826719 0.015286771526195397 0.83885130168496802 0.0049139794620930927 0.0067569347608999889 0.0057366445847875838 0.91043286325464134 0.0042376557791729708 0.0080930085702071042 0.14302961662816327 0.0047631382154428876 0.011964596599295598 0.0021987056557297565 0.0092952644775551509 0.035557912437054938 0.0034656791095068321 0.031000286797625815 0.0023383500743638548 0.016558735824580829 0.006538279905900132 0.0071917968125353032 0.048251367443708816 0.018618903091789825 0.0063907125764391748 0.024727654020377271 0.96376827704492452 0.0072931086184427766 0.0091136590492322343 0.0071246225285754557 0.0038736526644062713 0.0075421863599908481 0.14849435887002788 0.76024552388317579 0.054634102097053633 0.018375444151470362 0.90352292009504898 0.021672412331630309 0.0031802283950007203 0.0062071744744406389 0.0028730274014177838 0.0024733327515192895 0.0040844382662853134 0.014952956626696715 0.0074212529074553016 0.0048908294188945893 0.0065917403104672114 0.019941074456418038 0.096776660344875989 0.0082475206814645319 0.0067764843573586853 0.0035430800396100475 0.0091499372176283688 0.0051432137069906516 0.0064995402610111396 0.010646686091758102 0.011159545238206768 0.0084343284636097388 0.014113225159714781 0.011496406748266925 0.0052832705296844938 0.0077361290982032906 0.0068271522980275327 0.14004880977624848 0.0076752726304562587 0.010099252380118997 0.010357232994667079 0.0051188944083164333 0.013320638894743704 0.025627247067644 0.01575117199580147 0.066411284196620304 0.0067435110976553272 0.0057998091458765361 0.0061875220810850848 0.06056138760461275 0.000561720032563697 0.0091998591648603523 0.0085987473625302457 0.046286783691173949 0.0057497859706985965 0.010316162595606923 0.89971828520982622 0.0080772234430738152 0.002246846762208364 0.1047297376401977 0.014893173812669877 0.039881777528628107 0.0096984973372409421 0.011155177914282411 0.0075921913425774619 0.19592964058526899 0.0083661017498410754 0.010924234971646412 0.0056603023042772621 0.0055750432863165668 0.859173071153159 0.83925129400936127 0.012392564565103117 0.14563584158887422 0.046165533404254 0.0078347034606691419 0.0082375328988484025 0.0098762839956390135 0.025921501028181779 0.013247441095914827 0.028034146352658308 0.0056773939912968261 0.002491095167901683 0.89081931378353929 0.005570038117225784 0.0046889118829147331 0.04860953503409559 0.0065939696826296385 0.025637082815602501 0.74850192595516229 0.010056516953330088 0.025044806726376514 0.0064157484868710007 0.0071330562024107813 0.0041658403170652574 0.0095420828637058936 0.83225147898322172 0.034692347370097271 0.015028370887256948 0.83881135242602523 0.0032974499618058082 0.078645975377007432 0.017633097477995154 0.011079200210593594 0.0075527721412519729 0.013611632034825351 0.07103172581662355 0.015819488821975373 0.0085063542876074281 0.0051066097607080771 0.0047137119292800875 0.0098515720947337064 0.018159779346710269 0.016952871744965667 0.021432010366136608 0.87824373513389187 0.02385895686466202 0.88601981043605982 0.087300154913212552 0.005776162926601703 0.0058285768053212743 0.00663037661826476 0.017172508396372202 0.0064095262048134696 0.0064951376985330064 0.016239971107813164 0.0076517547629048385 0.0044136741926720886 0.0051524988053276936 0.048893154881746996 0.0040366232005673557 0.031999652356762276 0.0070018136939694903 0.007438310742758557 0.774965362719512 0.01539673434193267 0.089042523289291131 0.015106042148157552 0.0043516115077215766 0.0069111823932004176 0.92052190598789174 0.017522062380294422 0.0042031304919007929 0.0022628982137192057 0.0065902392114948714 0.0044497598338331078 0.0039041265951555992 0.0021913769484436011 0.75461694457409478 0.011762067160569517 0.0069581686207576101 0.0086233158407968205 0.036275633110706439 0.30551448292411032 0.012436046255295791 0.0096228973637476813 0.0082426616563469595 0.046817525345574616 0.0078230517545954878 0.058291307744895181 0.00667392133976389 0.23193686843716288 0.091758407380274978 0.0047958963183813014 0.019937772496307189 0.030676175459698168 0.012823561787126956 0.0091691823676987982 0.09964430590967803 0.043216996037579357 0.0092082510569709494 0.044763533979899697 0.006065681365539261 0.95979294587740405 0.029109625223277525 0.0061475155575064543 0.0059953648277125795 0.010890445023222157 0.053468115685100973 0.0075404007158570369 0.020500987683329915 0.012040727475934569 0.018966894393729349 0.92845467210670574 0.88542122106070598 0.027185308080619766 0.051408451223669695 0.0043133873323073684 0.0069800691401318169 0.0067955207794817875 0.75467624109499387 0.0037095301456380337 0.020195165758919546 0.94595240738889896 0.011343467780459712 0.011316085832757618 0.01875942897037474 0.010896304490359552 0.0056288408313623509 0.0047541874066814862 0.01256259429232051 0.0086022083903659844 0.0045163755285897748 0.063880382745707398 0.037197967586238341 0.0034126468267725169 0.069595326384482181 0.84073713480293011 0.012418568675860426 0.0067797388142210738 0.0054227282066835105 0.91135682755440206 0.0084661741568171564 0.0042530900207837664 0.0084146166994930795 0.0068143026715630495 0.83318536297359924 0.010059001713235566 0.0028519713316534933 0.89417845862958556 0.075434634051689237 0.0034828611965688028 0.0019713797686364697 0.0031787771133146908 0.01687430828492294 0.0098892672572264678 0.94236554715651477 0.94788913969281507 0.0067769710552741625 0.0066307752707841722 0.011966429698785704 0.95805520755044471 0.01415566636705661 0.0060376465729106319 0.0081068520879691349 0.002383631880659709 0.0076254621680767075 0.0014369287631543371 0.007263575110851129 0.012286093144177465 0.073524883934289145 0.0064436870966684111 0.013006999853530526 0.053132731110572005 0.010153684266654195 0.0035104103829500487 0.73214927704392418 0.0055990614365816465 0.010567397870965323 0.014546333490343257 0.005077550949147182 0.0071791728040984572 0.19869546774238672 0.0087128493235965089 0.0034243260715401355 0.8218162232855083 0.0095835015515136086 0.0045028357470509621 0.0036143935169653807 0.0065936144122938486 0.71434318942417996 0.014541318214852468 0.017676262365804683 0.021357534098524374 0.84863180546471351 0.0048951546731228418 0.88957992026448407 0.017565079475731677 0.0061936862166198309 0.89368961339258668 0.76985464048607444 0.0084069134271237082 0.012793666004737501 0.0028026742268008028 0.0037745801763361488 0.025031511276283187 0.015425746024083885 0.0056155392185724233 0.012504641683158429 0.0060298890373705078 0.021801469602028653 0.0032980841731116406 0.0061384634555624222 0.011455717882647197 0.025566623078635466 0.028787166311960689 0.0088406950854473046 0.62826158791822939 0.018540065110732178 0.0093595579672894978 0.0035295457965747869 0.001769353624081927 0.0095457834684431527 0.0051650095662647815;0.003975053279002598 0.0028490018799660387 0.081712128148155094 0.0020393486746690822 0.0021205785771076166 0.14952621351010248 0.0019923358788724579 0.6372786898157079 0.0020482570899737675 0.15742037013529742 0.001572808475041185 0.002144645512349799 0.0051315478206090739 0.0044066003179776929 0.99792732565205644 0.00150829552745193 0.0057661321705952014 0.0015430739585582643 0.002333844743714922 0.35270179399640506 0.0036586472857412016 0.72580680070629711 0.00090684804735940722 0.0024918922328371037 0.0037530002885122196 0.7047626694940502 0.012398193013677851 0.0018572944111961312 0.0037545396458977492 0.01370892199102396 0.0010915263055525266 0.0039996672098041725 0.73990838490823863 0.0041005211940629005 0.002551888149389084 0.16073022483739527 0.028359024550139625 0.001957926561349846 0.00437437012285408 0.0086028126262772796 0.0025580076900116253 0.0013932878103025954 0.0011836844480122562 0.0029295147615117918 0.00202838338819739 0.001136497330099474 0.061486607076631984 0.0047753891048759834 0.92125156507632422 0.66563832441612703 0.086108097497569092 0.00061501440109205333 0.0019933625469347729 0.0021724216036088958 0.0037183756094411836 0.0015643991103574744 0.024105593240429518 0.0028881561955875108 0.2906187211629041 0.0023794511080685431 0.013857766004269696 0.0019857386674351227 0.0071008500265692682 0.29006165374066573 0.60164775998755338 0.0027641168802964625 0.0063956139371393259 0.0043793205439596385 0.0031904135999746156 0.0027595996420079431 0.0042538891941491562 0.15515616348695949 0.0055078976032515046 0.0031411431632909883 0.0016432733086201811 0.28074539400005932 0.0054809204789638827 0.9327627372729268 0.0014332820067159706 0.0064492604778761372 0.0015815308012384381 0.30248413396537605 0.0020269014089707334 0.16544300852372384 0.0018469578224508932 0.0017534532924336796 0.010912107306247077 0.99821342881874819 0.0042661539009040015 0.0029369024321060297 0.26641030010177852 0.0031295019836343461 0.0054437437807424421 0.0028275375129893517 0.0025750005858772148 0.78588590651597945 0.0016698372902711552 0.0096892166049548836 0.0025182770545152484 0.014474522730660778 0.0019674279237257737 0.0026227277481346845 0.0046961450702324515 0.0022475166192785076 0.0016017925561920561 0.0085020943826350677 0.98956372743763088 0.0058462140587079003 0.0026876738666626043 0.0021803200833766688 0.0015026203033188244 0.0023572985223100592 0.77537650430018923 0.98904707076972542 0.38187891886679876 0.011425359885599761 0.98886076114404275 0.00217815495560345 0.002168216084339663 0.0033975877011699169 0.0039026230008098362 0.0033458541524909345 0.0024434835394741583 0.14308023013581189 0.0085727155260061673 0.0021601014431304544 0.0038624314332074169 0.63587225515563794 0.8468784595164417 0.76374789269545462 0.0012067641305951035 0.0040438413188004403 0.0022296178167735426 0.0013989442848425151 0.0045385752311601635 0.0022589398884261644 0.0027152246686334459 0.0060598904281230076 0.005676971942298421 0.0048311605776305607 0.0035180231885728846 0.0025410979846202443 0.74102992245332888 0.84409895929212331 0.0017499088694773006 0.0029605037556589874 0.0016453517970753851 0.0024090721743166093 0.68266156273575285 0.7180089527360789 0.0032563281635897669 0.0031893217371858022 0.0060314012417954626 0.0022740517169941724 0.0030623869406635014 0.0047591299842389585 0.0037437092697122937 0.002379974182441407 0.002091830519641783 0.99370936145411781 0.0016234093462210474 0.0018033105025375728 0.15220514020968948 0.0023143896866189033 0.011846281338045725 0.043515541618197082 0.0026666883892549212 0.019392977773279023 0.0066367021472350024 0.097832296621231454 0.0027606339379904294 0.77647138546309646 0.0044704560345847424 0.0044517976912273379 0.0026927249423445206 0.0021652376594897792 0.92938363628895859 0.12749093010810891 0.0018709968466420162 0.015348376110553012 0.011798777551167905 0.0040835921393621898 0.0022473271009891809 0.018243168406761583 0.0035005083923606659 0.0029146830258013554 0.0065588822873729469 0.0053155332387717479 0.0015764983403738159 0.9917610528612989 0.0020743056168119507 0.23772489589632623 0.0016158498728340701 0.0032007392321229807 0.012516645152506108 0.3872946074958194 0.0042810378308230377 0.3724274712671154 0.0028873036700403703 0.0014444842279557467 0.0011733179108754362 0.0018497709185377603 0.4653032484550596 0.15275295238506403 0.0034056948180776338 0.015732955189651301 0.0037821401997020629 0.1650564613337237 0.074687983388642923 0.0027474374432732923 0.0018730542711591766 0.0020034879219802131 0.53032307548350821 0.078909146001083799 0.0030493364928833103 0.0040399587859428756 0.0023525963604416108 0.34074439830143832 0.0029576490427786041 0.0029233872000169214 0.0020615513860430612 0.63126748095361107 0.0030600810376215067 0.17039979779644077 0.21544219974490025 0.0033976918985151993 0.002399337481368407 0.0018823838721725658 0.0032711345658438741 0.002135313263515023 0.00094870947530623084 0.0025599039601429297 0.0022633986203222426 0.0020178350089254085 0.0030367232778743137 0.71735160751060068 0.0013184580077415034 0.0045711771935799499 0.0019764610967969187 0.0018196272085729884 0.51601882656817799 0.0026770912074291983 0.18117619141886573 0.16169333553857185 0.0040356314510987812 0.00076383051958828522 0.63796352648418497 0.087618898323643057 0.0017671119211124251 0.0042968302867633264 0.0025263926045799123 0.003959237927791604 0.0056695817082166632 0.086262782506520821 0.98360580179921686 0.15147817153823184 0.0016443261046883869 0.0017136673536446493 0.0051653131616827492 0.78536189115250166 0.0029136390829608517 0.0024617088387464308 0.0020757397920229156 0.073751628769502905 0.078451090274454391 0.77745352604827112 0.0031592458098966721 0.82056430416654069 0.91699982714754968 0.003005526855368112 0.014718597292754114 0.27019223229682776 0.004673862200300246 0.0032077924016935774 0.2715246438709204 0.12766169456388313 0.0032864910978414714 0.97412844367365681 0.0017761662329794832 0.9208781474728005 0.0027827655626952649 0.0022839733975772714 0.0027393365437573844 0.0035119250491458956 0.0026957394774656755 0.0023027768245383411 0.0028193616702942982 0.003074345146243304 0.00222181578173651 0.98778970835295155 0.8359378234689786 0.19816081141060501 0.5801545142214799 0.0024937453139463762 0.0033546571721801369 0.0018092559192621387 0.98475988860225439 0.0073258838360959477 0.0050981812544595917 0.74345772869644833 0.0055689384668192055 0.072051867015018659 0.0076526172273035037 0.24188708386968094 0.0017898342458877094 0.0028697396646670107 0.0029477925132120439 0.0019202280258769941 0.21439693954016095 0.62929926605567343 0.42495771740376248 0.010248869020210691 0.083699433028958437 0.43239672202312868 0.0037781460010363208 0.0016979114161691071 0.0013491982537452115 0.98179863733060868 0.0047784940008858516 0.0059245509300075716 0.002796396446250818 0.0023910175733246608 0.92112033239323943 0.002282269173349131 0.0029310694910851323 0.14114338225198472 0.84178140518076794 0.0033254281725645812 0.0015255062357606036 0.0035054109238039166 0.0042366177636745375 0.0043839391225013544 0.92260229827624352 0.99833852126950062 0.0017852323873729914 0.0018050132012813489 0.28598063774714094 0.77381820126007606 0.0027237779779743657 0.0053461017203975834 0.0040970759739316371 0.078391973747677784 0.0030039416276255873 0.048287892924873704 0.0018597982186507301 0.0027408653153839129 0.90750042138940579 0.0037709786919117375 0.0032250209894473859 0.0061076320331226565 0.00291857763646394 0.003122942674474008 0.6426631294828985 0.0022112291895465368 0.59552957707392917 0.0030574535955463448 0.0025442185886992369 0.002276481698368373 0.98639112030924858 0.0044426358117489444 0.0026782474944101876 0.98604660239841291 0.0024135310989896897 0.0084361136896594947 0.0013235940517594912 0.21083562239392789 0.96301490559439606 0.0024755645063892235 0.76953360641896462 0.0093114363937793331 0.98979086072662481 0.0016985989417645658 0.98886807742266825 0.25631260344409013 0.0024077955305796231 0.98966934596276146 0.78289291364320635 0.0020714354145657007 0.004169053730418028 0.34892194806585541 0.2231270231239588 0.00242231728046569 0.0049110830703044325 0.0029494816380465361 0.0022679212973556774 0.0018950439045543818 0.2101085197662686 0.0017912170112789458 0.0032837518972488925 0.0021678918004686275 0.004762405785886094 0.0082313213640031607 0.0032576462162288958 0.087066577631540021 0.80218845288745277 0.0027533319456906537 0.0010526774602365018 0.22917511881709968 0.0042200302767925529 0.081946641930463276;0.11613228471552718 0.0017106848365217933 0.0010756673625766692 0.0027833294179749166 0.0023203651061390234 0.0021664853415238588 0.001973041961144333 0.0067463531564433861 0.0023945767561353503 0.69893736163201725 0.0053276530290638615 0.11273444593834969 0.008741982981674187 0.072510976713963643 0.74801548590969447 0.0018038751594721212 0.002100237534298376 0.11264615313136042 0.0027007334974624049 0.005336527234335039 0.13520547254440934 0.43929457967426344 0.00077475418182911611 0.11324336796356811 0.0037728794585754253 0.33365269836257661 0.0077206584436573739 0.0014700090789571355 0.0042750072413792499 0.66432162269894679 0.001651312673979293 0.0038219627135389878 0.86744720589865354 0.11514422239141596 0.0061750789526319599 0.52399980925362466 0.27472397711047591 0.0022474995890406765 0.11561535268061643 0.0088201630121928273 0.0033667808281960076 0.0012048280759815759 0.010487618981332963 0.13092694851119951 0.0032631586769252536 0.0014603373271471595 0.74823813342377554 0.0057502774733191415 0.43377165047525523 0.98130120972704005 0.0017070896754851335 0.082373842243684492 0.003982494310208258 0.0044218695850678389 0.0029076862831113447 0.0022036804925418953 0.0055624247185955293 0.0064850026763368747 0.80906890980072366 0.003528871167597725 0.11240067147240293 0.0027291663557281205 0.010369991856957016 0.44380271529524618 0.21377856838716733 0.0032737627187928095 0.0026720496039420952 0.0069925425846515728 0.0036440931625985168 0.004065568573590651 0.0053305764378556225 0.133483343690842 0.0071139288392665888 0.0043865735539155093 0.0028465472795194454 0.30004440414576777 0.0077317993939162106 0.63307927504626194 0.0011392770724416889 0.11317824350481334 0.0020705047304681009 0.68247510078267493 0.0022199995235250001 0.002350645042224651 0.0020948340092348853 0.0018756050389587445 0.54721658270688001 0.9576932760881911 0.04441704733008274 0.0041509866842374442 0.88890876869349411 0.0034298891054312078 0.0056278911955116124 0.25468252494938304 0.0027553359270994617 0.85914044779445831 0.0021338320367686749 0.0086638819018806761 0.0033061025238148973 0.011911630548266685 0.11394426756562497 0.11346591166978987 0.0034338446518141206 0.0094568083625508406 0.0034118749900345674 0.0038065848044944064 0.36462955989368401 0.010082943316532051 0.0039682374957544803 0.0026075203241097099 0.0023755518379270949 0.0030087362397965612 0.021212195105077842 0.28213699470265557 0.0032951371253535536 0.0015257254260886348 0.35263010146119012 0.0034424625640373514 0.0022891921962284274 0.0064673563219168773 0.0058991207659966913 0.20145412088649928 0.11582435012139612 0.44135405550961054 0.29919287999471361 0.012197476087493775 0.007832360806972324 0.2832841116814338 0.97405324122070547 0.48855589328416027 0.0013082951289966052 0.0050719197296507446 0.0030898087443163732 0.001579989104075447 0.0045661343918877023 0.0033914997429200979 0.0031007359019937972 0.008071274700465602 0.43124496206264396 0.0039951029414216311 0.0081735051531674867 0.010691029012525851 0.13728596118878161 0.013819677762873111 0.0015940888175374325 0.0033223651326938952 0.0019909157826283729 0.0021961993579907007 0.70282676764963203 0.63172880984456692 0.0051137651983673895 0.0028166487109218831 0.63994210187253509 0.0025124072580659587 0.0053909994356562104 0.0049879846714429152 0.0030159683918465352 0.0027274118509758578 0.11385569413765093 0.97454557030282918 0.0021930046595196582 0.0033314448324785594 0.11524992873128589 0.0040152868905406662 0.21705778296028855 0.98013549456491245 0.0035790342576915088 0.040869640459550882 0.001777635404127075 0.98452850420731708 0.0038826521454915154 0.99255475909911461 0.17458435180374748 0.006103817749652427 0.0036302337628952063 0.0018404774216391956 0.67589770074878164 0.0099852395911787656 0.0010533009558342302 0.004298108448814955 0.002443917430540384 0.0054687005541322678 0.0035999247325918036 0.64812932976328586 0.0029875598403108212 0.11358950384424565 0.11773557632867541 0.0075683637307748762 0.0021489989959517252 0.33275789062010236 0.0040379636977587677 0.78470485365461284 0.17057003938720916 0.11613643482553318 0.0084615470441949062 0.88757772293436588 0.006036591297697607 0.11597990623544108 0.11333957637187202 0.0016128659073825844 0.0030894669724490743 0.0025199961045791501 0.0030923139185013511 0.0050103143236826372 0.012074334655221727 0.013881747655791017 0.1146909210199169 0.83693466059759669 0.65911678405283702 0.1159706874230808 0.0038342002326114087 0.0024512859630220342 0.98699183822098979 0.59656867108895817 0.11499174975983398 0.0077053196811965119 0.0027478531138327342 0.35163273027942388 0.0038368400508135099 0.0038996828748464824 0.0031382430716007954 0.11477563364961746 0.003132594803137967 0.0015577516510631168 0.0090518590246523277 0.0051871956008491702 0.003122862694567006 0.0021233337002356726 0.0079119159762309332 0.0024892703477266648 0.0012107965010529095 0.0037934944197510739 0.0028200007876093632 0.0019528310323327744 0.0027658015267987925 0.98788418650668441 0.0012382698792288754 0.003827632001528023 0.0021064964534537635 0.0050843693952812366 0.0034191760403919714 0.0025073316157784931 0.69567620271971897 0.22697010830591616 0.11389342716364617 0.0028477290550363455 0.53058235838222267 0.11466339453900387 0.0040692707281967449 0.11497858034897969 0.0027110715415062329 0.0034492230067087433 0.0037340223660489386 0.011528746565887548 0.15486113683596636 0.011385548072719895 0.0016796342273787158 0.001754584944658481 0.11729062317699483 0.97582889587257871 0.0052469466784494092 0.0029453391596142766 0.11280035785512489 0.1121892047776369 0.039691544758629571 0.98008193169632307 0.0031877887727641422 0.015648436683622827 0.023509847062979025 0.0032609780153111207 0.11401227972583851 0.43436693700785778 0.0065200018818414862 0.11564787187452098 0.38566586761643956 0.11155847457417738 0.0031806441784285027 0.99564879533452544 0.0020832772690406957 0.030791988051445427 0.0025291243236810947 0.11396738673893769 0.0030512462787406595 0.0038094557931478692 0.0025000419986280294 0.0026592615971958605 0.0044855011776880633 0.0066006970917060447 0.0016434079537833196 0.23687746515517902 0.91004520573124514 0.031685376502692847 0.0067425073195316087 0.0046143873954938228 0.0042954534366253317 0.0022034256118396533 0.1582005100585957 0.0023886067534717218 0.005620364732644316 0.0071848942459797642 0.29875686603810686 0.0068098019257580855 0.032026183405249334 0.98499867612191161 0.0031986609639095861 0.0022866860142179432 0.0033209007895462612 0.0024123376937185926 0.99155042769071899 0.13162458254143125 0.004072044455422379 0.2164406851776555 0.98064338278978014 0.27013408585264559 0.0052373816295681955 0.001486513099143053 0.0017716480504072047 0.45041207569556696 0.0035766888848866693 0.010360800421647529 0.0024364387198288757 0.0043991912554945545 0.66217945029265568 0.0024397709959762663 0.0040811026251408398 0.0020108148271505244 0.37009745446716247 0.0050516453111968803 0.011336218152089746 0.0049941311857749152 0.0046301858143345453 0.003793096232623278 0.02447322122152136 0.99631864253462776 0.0023038150147409605 0.002296949067290516 0.5288355684283681 0.0084107640993514136 0.0074091871220286704 0.11689893993266011 0.0080685697913341712 0.12540964376439623 0.0030817797001315701 0.88153701799916018 0.0022504317044400282 0.004140486529265147 0.30669102798969644 0.010628147158023026 0.0033885299255691369 0.11699823256418995 0.0040935697207220168 0.0047796394951548386 0.01278727869896646 0.1118995732668089 0.01229348487654415 0.010779606894759359 0.0028398968104581973 0.0027645762349895898 0.34637197084916138 0.11280919748301178 0.0035212549297670768 0.19143084450920167 0.0028631768802053004 0.12056083621582131 0.001622934668930509 0.24734787717125223 0.52035109330446316 0.0030899289661554521 0.6367751551517048 0.0022968516044109613 0.8301620729241932 0.0016634332696781305 0.20097982432301095 0.86974904994303937 0.0023403781530775547 0.30896797095191064 0.011202018471202902 0.002731062992660376 0.066948972580966937 0.52706154082637413 0.42877760951251276 0.11427076354433649 0.0068794256681817094 0.0035344501342204205 0.002889532202780275 0.0016904447256560079 0.36639906558858726 0.0025956880878761752 0.03198420826103883 0.0042835364859003166 0.007699021014180788 0.0012649688033957202 0.0064197420674241079 0.0038839660882034836 0.12409214159165485 0.002831245449264008 0.0012538316224428318 0.89612388765573747 0.11547807585071942 0.1122162570901115;0.42158544812336624 0.0024534635607189924 0.006612164499405518 0.087029364831976902 0.42153325916372902 0.32510075723043447 0.0069112526612834157 0.3399801454469214 0.0042825290871469487 0.0044831805789798153 0.4159804936705177 0.089034782589153677 0.096492778882792576 0.0020871448732670433 0.087946387524957814 0.48798842021205291 0.01100850611996038 0.092206535123861053 0.0026834699043178831 0.0083260231879402728 0.0035434890019878803 0.005046851379076245 0.0033007056752113822 0.33933894858717356 0.0044083310546320087 0.082284603609621657 0.17533646403015285 0.003228573421764466 0.97725209449900785 0.89895855972619199 0.33683568095852662 0.0032672355950192525 0.0038156629017485075 0.018628364580083209 0.52259990661257127 0.011508248985286259 0.0021240067840803804 0.0049707122594404565 0.0078907807369665156 0.0016653095907117131 0.33552412546028504 0.0086334437617381684 0.7301786663680716 0.48165875146033837 0.0092874494673828717 0.0022956060714385855 0.67107960777086706 0.1651682778373175 0.0017955310484867332 0.77297547499625741 0.0046628400613020543 0.17098119970402961 0.0031845492900153876 0.0040933471532717015 0.0073833476688815016 0.26043450592283224 0.16535108080655728 0.0034277454155924644 0.98691311853640706 0.0040900474361880426 0.99084625106898816 0.42141634974874792 0.098037822690227081 0.0024330265930777514 0.004595469859244695 0.0050770799966716644 0.72358523563481925 0.0016810908657127592 0.0059226748857707295 0.097091870447009163 0.0062485377576359654 0.49549399721108744 0.0043125586186649086 0.0040272424933112828 0.17133725328292082 0.0056999284782275244 0.0039696530307634535 0.0096519374352307761 0.17040879718762342 0.024587610119923643 0.092732524747806258 0.0026820742988577849 0.0052502333206835292 0.09267088004569933 0.0057676270222629701 0.021826636560039751 0.0038769654638729878 0.17010895805277917 0.0034361277334701876 0.98461239391773603 0.17228810190116156 0.26012437666428523 0.0025524128460490949 0.0047299664547364789 0.74717735409225938 0.0046388870409806863 0.003386769653181155 0.10437123305882012 0.0049921447810899137 0.0041523659856307132 0.0099653997598516102 0.64330242846351771 0.0039046986604013177 0.0027044794196709509 0.0047581100502461218 0.16955242148563351 0.011416704506417812 0.83204549105374714 0.17173505890841947 0.66839548618155942 0.009891871254942541 0.0090027096462377137 0.0037943938911548514 0.0049390385201981352 0.0045841760474625293 0.0047041421207081012 0.18470968723340137 0.41360220170052681 0.0089835509034421838 0.74119687941576051 0.018428725090696707 0.0041785387390296629 0.72820267628353952 0.009833369536314418 0.73949805804222835 0.0042380050471191684 0.0054837500136024385 0.0058073628103514473 0.08872791118833237 0.40687782412516138 0.1693837287177925 0.86894712215184411 0.83665746081378645 0.0039264241368352371 0.49530506119509393 0.0042035296389577948 0.0057995483731347651 0.095281236801260508 0.0041764802392487005 0.0029432448166013519 0.25723926735930508 0.001188226696539685 0.0048050617812551927 0.032026253433175243 0.0031165155000699315 0.0023507666069083511 0.009594756063204115 0.0034118753144877557 0.012991159146904621 0.17310519671058833 0.17883032100530502 0.005804649681003222 0.211831328417068 0.0026649468845219332 0.0069678180456107268 0.095116902652656626 0.090969019046761898 0.15580954517186191 0.65325921410157994 0.010331331042903333 0.58051396350701945 0.50751997241250679 0.74128562151948785 0.017168925039632368 0.0027471604096788874 0.088684451053293631 0.33045035043429188 0.0058528476755456129 0.25491494329529785 0.006383880844289592 0.091985970951049878 0.68281282301703317 0.0067389343155771853 0.82354895121439498 0.0056415598515866241 0.012719599425293854 0.2594921328072094 0.25805615851850949 0.0059577518718146628 0.41659936508339918 0.085435684863483158 0.65986977761250931 0.34542642132508372 0.083572993352556954 0.0048154662728248365 0.0095553041324942314 0.58054406991288521 0.0032990185295630487 0.17547508644944154 0.73327526523094411 0.6489060893362435 0.25231646721964573 0.83177728282512731 0.0034698670059829782 0.0051457417490443878 0.1734743214184773 0.0058375565805924715 0.089259213680016186 0.25543712490491954 0.0075412799686331933 0.1131548929050704 0.67015484507139478 0.91192191587672633 0.0048635003783762832 0.0022741299264564798 0.00447432682523411 0.011905373770828832 0.014510615313505337 0.2552955482006577 0.18852177416211655 0.01006287531726608 0.020111782145553987 0.089920114963473852 0.5092704592335604 0.021907317705773966 0.0041453139252675122 0.0028849559985906679 0.0039703742229290611 0.0032614065871226249 0.27982173371216212 0.010658864912580057 0.0057794040244468067 0.60259235381939913 0.17564313342360083 0.006645172803800151 0.0025297577336009305 0.0038489165496197325 0.0084644674908863522 0.0038862793624407279 0.0043018806017034068 0.0096563649557262574 0.089591662531835287 0.0037438536414745394 0.25580788888432782 0.014577526922877766 0.17177916798323456 0.0047116270362440576 0.74621456344828541 0.262997877598104 0.0024297383031100413 0.34132708601042455 0.34691055292297307 0.50217328969164887 0.0037337373669744434 0.0052575844259373566 0.0062213918611226634 0.42140702324826607 0.58426905524466355 0.0091224989511931275 0.0089245457449685858 0.75002590695513505 0.0038152087844230097 0.1928019885780537 0.0038465787546218939 0.0030220914368246396 0.34325298479694893 0.0054126270415794393 0.0047594993625846606 0.0028422596451433278 0.005316906739987237 0.1764477527157019 0.32770267727775942 0.098650718079156152 0.0053473159718011951 0.0042294683255329844 0.0022957581130590415 0.89386784361758487 0.0018665859456086494 0.42287851544943456 0.0047415487178052232 0.0086187334978933394 0.014290884222846764 0.41303166623966037 0.012696657430388128 0.0039101900562607391 0.26693062699535286 0.43511757314596861 0.0033363411346803533 0.24892498173523148 0.33966471900417128 0.010470903193356005 0.0043501182080192295 0.25543608506491461 0.0029114396444420835 0.0042526308826940015 0.0020202430326576115 0.0064367859455865756 0.85514484416233238 0.004346680441186925 0.0028145468223740684 0.79204872186689856 0.0031716573468571086 0.0049484842718816747 0.0025940376067177667 0.65097609110020893 0.66369619806295055 0.091050984637327206 0.0047910610070726681 0.913932636906162 0.9636554037824 0.092312679947307824 0.25870735335716355 0.006714095901779525 0.011655334570280304 0.0037239904152621709 0.0066159931329837799 0.0058552421199145653 0.0044147083526083104 0.0035761592040093855 0.70666782979924769 0.5735422521683704 0.30025838199669352 0.0034898833923240275 0.086045353559550244 0.0068598926340985777 0.0022932114331871514 0.010254800451546966 0.085822943819869879 0.0035548266342906765 0.002612841796283519 0.42665448628830083 0.74421642895680329 0.19216123461810253 0.43168457528070825 0.0033828064450158474 0.17876151350352226 0.0037033336495285885 0.0034762789762724472 0.0039795560363046316 0.33105298866533373 0.89597701514260031 0.62988685005299572 0.17110945343965217 0.25691261399323839 0.0083919332284198636 0.003395530580591887 0.011733259414857778 0.0059164974770263444 0.17790350091501791 0.57802850000535044 0.019994631920085711 0.0039218554538164446 0.19367516216006542 0.004093089706787084 0.0050852416213784651 0.748559275557523 0.0028587780701461044 0.0036523641040440437 0.0045213209612400378 0.96450956135687571 0.26149720895696499 0.49546708699072528 0.0093147087220328481 0.49190217131320019 0.0049982853439409615 0.0080574548304092677 0.013357243581138621 0.0034609001975720462 0.25500668324011355 0.56622170309803066 0.0055862001709035174 0.0047159608059370531 0.55142673432112721 0.44285755753239914 0.5658842594446778 0.006269351695539876 0.97503211828442249 0.0033249274458170153 0.013835770607784863 0.62801166435161748 0.014118257615346476 0.39980687760530054 0.0054277051447202129 0.003506619643785128 0.0017831124418924047 0.42700730451731783 0.0040349629718177795 0.888913262193747 0.0032730189258977269 0.0028731306289146307 0.0032924268942940596 0.98140751505622603 0.27451259016338136 0.01153647227601627 0.27261213189455125 0.0053283622021122919 0.089834831704865489 0.095712847814609675 0.0090057704720772382 0.0076563270852116469 0.50607452906995831 0.0061179228267101617 0.0058439626776830783 0.0054432609957488377 0.091029578773763067 0.0056336779195803478 0.004605059996035674 0.0044071063303862236 0.24243073703670534 0.35621756377899993;0.50205075552210832 0.00083427746474284926 0.017059542705494327 0.017859380559400603 0.47590874549096424 0.026686381863029865 0.0045103375622845329 0.4394101298245271 0.0024417626044588511 0.0021391192106593343 0.99509870699441971 0.96150063671958752 0.0080542250695101823 0.0023449690610584952 0.47780653468229356 0.99662813702779973 0.93186168499499922 0.49704161006801129 0.0020308130297783545 0.42103727994934209 0.0017416809420920654 0.011257749551284415 0.0034970961412627219 0.95119851796990518 0.46873041100136903 0.49963478845753778 0.032362463768542113 0.0027400772702318586 0.023773209505820049 0.017843404540167744 0.47694827155926606 0.0077915964827970363 0.0033556439522469776 0.97223598313950155 0.99640370430963598 0.0025732434034264487 0.00077290825561923183 0.005872409350076181 0.98557180554600954 0.00063749535471504452 0.01866339246666654 0.47587841620516746 0.99090156371842708 0.46214674899655955 0.49065425715905986 0.0012663530505273501 0.026178927663184179 0.93797454398059243 0.0020438475036186777 0.9959894778132885 0.02452024578009103 0.015774818746349555 0.00094550144660405177 0.0013736956289844338 0.0030910772667252563 0.010194100207748408 0.0048662630340419732 0.0017458394075909006 0.98640390461223049 0.003563001193721195 0.97757837274112358 0.96268885085469846 0.51684540699533776 0.49297510194032412 0.0010265048428049293 0.013814815587010722 0.019714290810714744 0.015096754722292346 0.96909315484254299 0.023759238233513023 0.95227930578928066 0.015038520195341142 0.011093469125049309 0.00082200019122665954 0.0083603321126329809 0.0015348778484002247 0.0015378516721362323 0.0069721785820912137 0.019795585634661647 0.049039228746452071 0.035220267516431668 0.0010092453723229012 0.82941058365091236 0.014798656618613704 0.015988977865217815 0.011255437083555572 0.0029619081543809174 0.0021960825618844871 0.0012173599822851687 0.018645457919645673 0.017108117490380832 0.0028080025346056375 0.012361118755854736 0.0016812413089029509 0.0083599635724380412 0.001146552743762206 0.0023548440471596382 0.024167860762042817 0.00078643964248430967 0.0072343067619018604 0.94219213037908611 0.49434225852444519 0.0012168748523815646 0.012650381468230918 0.00042985745620862444 0.004895708452501939 0.91147280511179773 0.021333679778286253 0.056211617514488624 0.97885449102736555 0.0022852609213850966 0.9552118755732617 0.0036034541489132236 0.00063426398547385718 0.0022096575430705732 0.0023152279295891049 0.47356217508487597 0.014877828375910594 0.005747072718999287 0.50135442089531257 0.0065125048245256167 0.0044400579056324552 0.026850085654042379 0.499809083031313 0.01672758514226344 0.0088991899271078298 0.018192778258143097 0.97331653200286961 0.002282370507891806 0.48584791359726875 0.95115155192975664 0.01549674997646589 0.48773779702111403 0.0089780722275652862 0.0084508285742972145 0.0012112624265374491 0.98538224657431706 0.011574900819533527 0.001669147215657087 0.001858819526907942 0.0067406840632701697 0.00037376392068364959 0.017958415321394822 0.0022983532684096269 0.0020171942851435029 0.024522987975511855 0.022147020873775018 0.0022067556523616364 0.026847964359323084 0.0075497015484099102 0.011326384248503107 0.0010088125115376989 0.98324869660528602 0.0012215831837656791 0.0012672991388330761 0.013388269121934389 0.014812221905654272 0.023788200191774252 0.51571333706902112 0.0020994987464405404 0.02776486855674621 0.016485113659174825 0.97188598920491509 0.0018452155980478715 0.00056143341132405952 0.0012272831486073851 0.019350387971910223 0.010220090664511119 0.96003224326318237 0.0063030654755830105 0.012550625982888249 0.99028348838594726 0.97837927529243252 0.99524005349487887 0.0055982446974834343 0.50254754740187002 0.96033173538493233 0.0067489771707845703 0.00060151200923017924 0.0070167299928707901 0.011824491324622662 0.99341087987722199 0.011083231178841883 0.017434431995925145 0.0047708786730681126 0.058567565930503045 0.5042797193380627 0.0011773514090541537 0.0028873424125944814 0.95431044502097417 0.96332530338916134 0.008079433026884613 0.52239148419381387 0.010430976054654669 0.037659805335312047 0.0019896919042254528 0.0016285232771364364 0.50362735383230028 0.50314088904071197 0.016338491287666419 0.95893843823562108 0.020025549508100437 0.97037195292809275 0.01120914753753487 0.0010462524081328085 0.011300530990385756 0.95670502302343774 0.98793248720635862 0.0041962581217254947 0.97031998487300575 0.0058347806876629356 0.014913359787886925 0.0031197342806828614 0.012971059454660948 0.48449660796810035 0.0023313463968515904 0.0021879302505032313 0.00081536278631233385 0.0033388351602473671 0.51204643872502864 0.026513577030286763 0.0028669796869526857 0.56654867408578835 0.00073904995941257139 0.0037395330231631491 0.011014077294284547 0.0011607989104270621 0.48110072972584894 0.0021180186815703841 0.0026486457715013422 0.0053428619004035494 0.0037082937518037812 0.016510156589880656 0.007279046364740807 0.47808831380670364 0.017314266171107207 0.050620776657883192 0.98432898392945423 0.003440619449941602 0.0010387914670071557 0.0027482622311079067 0.49728611013581164 0.016426622715420537 0.0085158548458446996 0.95403109899334793 0.98927489715541794 0.0018953400110102566 0.028934741075427449 0.93714293642146584 0.0083860201296920116 0.97160986700338126 0.005211115943471378 0.50482413510917534 0.0012722164668262184 0.0042005425378045863 0.52637492932912777 0.0076964438599567107 0.00055727433310317738 0.00343996567205084 0.022266623129620654 0.47895573237739797 0.0079395029666084992 0.013990816563562611 0.010839390101421563 0.49929649564436512 0.006178559051039003 0.034763968420004975 0.0035317683327831511 0.0063549493431133775 0.0033103770577388898 0.0050625850959082367 0.47639925382178611 0.036359327441552652 0.0080639011033868911 0.0019350490100068229 0.92578688128203956 0.97604385026112439 0.0020867338983640458 0.026512942025292884 0.0059421695757914984 0.0009688262319100297 0.0047708835580476568 0.006831379788487143 0.0015580486199860012 0.0050525298062154955 0.0019551644598488592 0.001531025656072664 0.98343690845764997 0.0012006155023768861 0.007765852661413386 0.047547915824053502 0.0015497581613419698 0.0017927587271709185 0.01066672607583175 0.010421555830867443 0.53336455477968647 0.017562009804768741 0.0041577394604102764 0.98769686156998293 0.49389784888979266 0.0013682401487036316 0.0047645575475930369 0.0047426537327347378 0.47750644856586932 0.0066593743583844818 0.006119522277043701 0.0049058756520559358 0.0019053769013012683 0.0015405807685297823 0.50141114398332287 0.46332170895573155 0.94214778588109804 0.0097362267654352869 0.0036042104921562117 0.0023015524630685363 0.019462886588237416 0.001468991258626544 0.0050315932504847571 0.0012221303251008838 0.015966032301608792 0.021731807623094006 0.9827911270497669 0.0061640767963723848 0.99101781848391468 0.0033373190571160949 0.97321852444701218 0.045630484517978805 0.015861657987948332 0.014080245405564752 0.0054606288979124349 0.058562292923977535 0.022142375627515518 0.0026389913310384591 0.058533891140216482 0.0097803188282588431 0.0022694888115490195 0.96531646517837499 0.004496732017015264 0.005906921623710119 0.9646436965298929 0.017596813743018108 0.0040915871959956215 0.0017949987324076416 0.0016068254440221997 0.0029582279402229242 0.95033732715546293 0.0048631481546261412 0.0015321201679041486 0.0036777836589285432 0.01243643695001137 0.061023115545439488 0.99111181006470173 0.008959968414050317 0.0049562468506060588 0.0022525868245433008 0.010519143382468196 0.010614116326996846 0.011568507184997865 0.0082048059658989016 0.99435053419144892 0.0099377748507208513 0.0014590350197551706 0.65061485606267566 0.50415205375788674 0.49788589949240203 0.0012638837157562025 0.96684208990508713 0.04716686145954635 0.98628010688319701 0.96147249434526683 0.072543697582080277 0.96146966639837272 0.00082457984598255938 0.0012213693725083186 0.0013783640980663963 0.0021300364699940442 0.01927640001960413 0.43139302100476984 0.0011132151977664407 0.0017210057004499778 0.0015707828736889764 0.9947862006582231 0.98229156039094789 0.0070609756160864671 0.020030592527189566 0.0034167259088737616 0.0025348154220864632 0.0014723463250892414 0.0048935221382711913 0.006393913069787812 0.96517465291521432 0.0046216074518307193 0.0031241072115134379 0.0017420512711604648 0.96042587952118597 0.0091378883413959361 0.037863786958673207 0.020567591559506722 0.023198847519868025 0.97957209598911321;0.0015784777935344439 0.0016892562663827909 0.98611150555472327 0.98808648414584244 0.015889930104361339 0.40766823651076489 0.0031392277346450645 0.011772122961792057 0.20956409487642114 0.0023442316446899425 0.98417357302403929 0.028321016245787718 0.57384226866204868 0.0014870126230690716 0.21375711961002558 0.39055760407616713 0.011868864352589215 0.009523299966285162 0.0037229418146194401 0.0046871290096176235 0.0038704043627494343 0.0069604901889897316 0.0018003811598581543 0.98195437454062717 0.0050276024324176216 0.95277991108752358 0.021108104996423762 0.0065794769765128063 0.20629046545551771 0.79260811240106488 0.010172111341448763 0.0017452355949906396 0.36969285875096014 0.8202486880312313 0.56680227791552507 0.0057475045802616066 0.0035506274044297109 0.004667888301523905 0.0096490422434576222 0.0038004138609983007 0.015424372173607408 0.77455466091972902 0.047746770887612991 0.18826804369670175 0.58294271615880189 0.014593726126112663 0.0033316518732254977 0.0082715603843872988 0.0094788834890892903 0.61265620544290811 0.57818227120434706 0.0050961206310483264 0.0045180917673560989 0.0059514664151593399 0.003110845310779457 0.39982980252492833 0.0019245643287280946 0.0066328541155362634 0.229282924454103 0.0042788768958331646 0.028775374098278295 0.0038683153280900796 0.003204755238857584 0.012866041126608867 0.0015156304859053776 0.0066456676240067795 0.0046950234222436545 0.20338173003452978 0.0051882364356481492 0.22787683231451861 0.0043194567340791605 0.011842677242530898 0.0058242958799252864 0.010039679845282029 0.00219739620806879 0.0065712140100661759 0.0029784153295068332 0.58033642575707278 0.0075515094172179309 0.98487932951756596 0.0053670408453997589 0.0038138563212482225 0.018985668271512549 0.94418845634070236 0.015589014366779497 0.0041387963302920829 0.20283526347030922 0.0029512141668865568 0.0012242209218350682 0.0097746428625535894 0.0078877860949855862 0.0011650186125625084 0.42804547467151904 0.18212681906917874 0.57620734039245114 0.0014705584773724429 0.00088426544919143564 0.0088148608208679959 0.0047459345076162722 0.0050777533169864379 0.01803688681048423 0.98208911977084346 0.0020883524383467364 0.0037161305411579715 0.0028081240325370546 0.00691163524705804 0.019098559084197962 0.7858355618349222 0.0036765439937698529 0.96904273910509597 0.0076235550535343321 0.0016589871085625849 0.0078974598822410414 0.0016770570402835849 0.003737718530229475 0.0063969544142951536 0.015454885105057034 0.048677785485316712 0.19833689620771397 0.019234462515407887 0.0033367165507527663 0.00091787193683411832 0.0058215265692407592 0.20842787684343622 0.60432641866496484 0.0026524953791576692 0.0095708286652914087 0.95544034613962592 0.007937156809305207 0.026748247828631486 0.0059999766336245076 0.02277319593840732 0.0047778576056979891 0.40042663718752636 0.030311064539842232 0.35847767313617296 0.01005980240648954 0.006329511960096827 0.20823649673560635 0.21599324855047433 0.0060207752443926406 0.0037990973866605694 0.77708395959181797 0.0041730567123362608 0.0016494340181810289 0.99363135017920468 0.0056252414699589776 0.0083954349197527221 0.9715023697234717 0.0045932780737185045 0.01136935519805711 0.0020810563102526087 0.81362951754270729 0.0031931717255620656 0.01543033551703514 0.011208347786157985 0.022302436059433862 0.0054822853654700274 0.0017836730413136014 0.0045708361879577483 0.78670417256125336 0.9778128108847095 0.023745816080464031 0.0066113538588958836 0.18818158944477492 0.0029589963225045415 0.0032657919162380564 0.22238146840105427 0.96783712294922641 0.0013559347213825158 0.35914852787933915 0.40763013293014261 0.010473531247781401 0.64793475370187692 0.0021318427553329721 0.20622261288921878 0.94352511126776184 0.5690879233522983 0.86369714506028283 0.0036265564037507429 0.0046614435437843816 0.19690367477682957 0.0026984301899922753 0.008684736342540432 0.010150675547729549 0.010942128229472341 0.022532256618634703 0.20148492654983163 0.006956855812009023 0.010260198972763535 0.99662845494601893 0.002806937878908101 0.0051988875743742462 0.0098394885593222937 0.0067882508934419238 0.0060318570953094139 0.0037849111686219968 0.012668307371451974 0.0055184148888416783 0.57984290784721293 0.017399861605123447 0.94982364502700722 0.0067582767266854606 0.0076619327734937506 0.0011004369780240313 0.00621513570992791 0.18850874907424214 0.98369860926833907 0.0064917721253776994 0.033314388450888507 0.74904618568328818 0.99319290622025136 0.0084410870815734753 0.019970306669088774 0.0068932401562394469 0.0030412976052822237 0.003395251587735099 0.0026693081732520152 0.0048797632999280543 0.77958310204341918 0.0036484908956299278 0.0014826660780760707 0.048497742464177443 0.014611220367527093 0.0037311135296067338 0.0044422677548765829 0.0098552789952797114 0.41248117516109561 0.0020248372076606736 0.0073499277749844057 0.58300731536698902 0.012055946223701954 0.0037928147309737614 0.0054555571181060768 0.98196745799324159 0.021157550923604537 0.74331809106375824 0.0062542574250832803 0.0091822534087570972 0.0041278463298828321 0.0071354876386077563 0.011998852829409715 0.010421519822824049 0.0062538611578871507 0.014940166686631871 0.0075881750357433778 0.002770872372725758 0.019140437199471446 0.40676754914446728 0.014270053893839863 0.005195423536198009 0.0021043578876698697 0.79458769351040881 0.0036309275278292629 0.0043130003211526149 0.24040646457792988 0.019734934803332237 0.0038241194007766393 0.0052734756924437878 0.77986198072152857 0.96821711790827725 0.19964768830962859 0.011503507723398379 0.0030368276087517376 0.0025405419712016888 0.20666386588729757 0.96810590866763402 0.0020506993794101539 0.0055216578910590262 0.0021697128393049223 0.0028767392849109565 0.0059250614005554097 0.010127970112759196 0.020457169390360463 0.0027496958030808248 0.97726383017812002 0.21452579008534489 0.20108711254992589 0.20543389691263458 0.19179288547717308 0.0050881188403478841 0.0014165916300255094 0.0054049907166038944 0.0023477103049315169 0.0025378484596366782 0.62440599684636089 0.0043919710200003414 0.0044963512415037727 0.19985737498066827 0.01323772479868471 0.9383345487439767 0.031545398076051265 0.0049703932062302048 0.21151467224584453 0.01114250253780099 0.96227806648859637 0.0022301734635254674 0.0038058260789615266 0.98062404224445343 0.9966745419154015 0.0027811640638580096 0.75120494120668058 0.0042310245590707913 0.017419977923139634 0.012399503856342716 0.0093652589388900469 0.013439472060765709 0.19450494531599383 0.20584101547588507 0.0036746399981232854 0.008213106946337324 0.0077982149088467456 0.43356261916079564 0.0067699178567775468 0.021840738729229509 0.0056989610550232869 0.20308174111131316 0.0081856704749880861 0.0026070396569164091 0.0097887538647697427 0.0055954271737288161 0.99358343874057042 0.0065498512071632724 0.0034293066758429545 0.00089064649566161238 0.74540814394012023 0.014212073145872476 0.0048568081321053941 0.016418651479907464 0.012832130320197845 0.97566892107015968 0.0087409874418338234 0.0035481412257988131 0.0054172794730197272 0.20219013027336327 0.18146369362650411 0.99339986861916996 0.023512309500824412 0.021414592066440544 0.0059498389313073332 0.78344180124397667 0.013214674768479311 0.0091821391541532741 0.0082847014541509896 0.40216483586125207 0.012819367879265523 0.20509328564943041 0.0021317641662661055 0.0020873316924673829 0.016068635630975225 0.0039757337894328545 0.40899548470472824 0.19064931596019502 0.0069459107840642558 0.0023435192049285291 0.97829194066534875 0.0084046144362899273 0.0027779511573355516 0.018680122360414584 0.019044300276481477 0.0037662402042456713 0.017491391025024668 0.99611659971286581 0.032961646515074106 0.20599451060389135 0.010979383282209211 0.96542469623622784 0.012569060756375434 0.002735806549288628 0.95997668373283584 0.65726447530655063 0.0077187335186921068 0.014786625604959617 0.0013708832794682648 0.21096493956407525 0.0051114477420233784 0.023694187073114055 0.99085727049042138 0.0033278316384450094 0.0049145955941566353 0.0096135025838707932 0.22442185149734553 0.20454821002174992 0.96976707375221283 0.0045748008263953839 0.0031866831165922385 0.0018936384575038529 0.0019832370092466938 0.0021196458758502667 0.010349737846102694 0.96934577702197078 0.95396048513087361 0.0046618023126417316 0.010236534130379246 0.0067467667557501079 0.0098355220517631174 0.20223110476392911 0.20689829562307949 0.0037201248299087719 0.96250044787475297;0.55335976544132581 0.0059501619497253659 0.76186842761274876 0.0053425726738743793 0.021398077391429828 0.0070402820581449022 0.0055021378337187163 0.22601974160966964 0.0087323477436958667 0.0069370764760188896 0.12007909270913748 0.44776814861807557 0.85604782498050813 0.0058895342675161812 0.22522602167813588 0.01098677677501691 0.0073005718688647072 0.11537850158713465 0.2261047189824546 0.20875235402369496 0.0040364798652804765 0.0095548891141409194 0.0052899764078621547 0.21342849621630094 0.62619207702081203 0.54650997598325901 0.11150335219429572 0.0059862038316657526 0.76155905097975674 0.0056698151523715389 0.33398340743735611 0.004403164657576765 0.0073453815523341201 0.34740977517922289 0.32863345854096054 0.0054886802928724955 0.004339175133273393 0.11996348018578568 0.53719427083281956 0.11815452153358366 0.45520912335121366 0.013770334828788328 0.21588479540298319 0.0065336589702737098 0.21451087566793942 0.0043547479070690821 0.0058598623908383681 0.0060332408134587245 0.28161537741508347 0.012796210665244175 0.96586491342424963 0.31055845597419268 0.21707522597194845 0.40581785912818363 0.0092822876578099595 0.006313320710475156 0.11585564162136033 0.33318583291607445 0.11803730102349597 0.0069395084542063362 0.11496566469977124 0.10546939213804836 0.93802710000085154 0.42666469443752486 0.11655733585343497 0.017855937568856641 0.10987636851277585 0.10298254104725579 0.61361315733165978 0.40911903143017231 0.0099895082958223001 0.006387577202861261 0.0086910800399944942 0.12317500430109091 0.11801367223450823 0.011090435399860585 0.010876051511562118 0.0040352103461095551 0.3400312600661296 0.44884150202590223 0.016309556702690159 0.0040153584414950828 0.10639800692497732 0.0090144551645079413 0.013338469561053182 0.0089611031928065344 0.0069544234092978937 0.11469465513627151 0.0062116465870704369 0.12262143874051323 0.34540167416926632 0.23056877669241277 0.0098608331348115589 0.11254585322376795 0.006494648330239358 0.0063759952795515405 0.0038445182736869489 0.2340484209742007 0.094024502065733623 0.0080531102233309618 0.011601559658480771 0.0083628512720813029 0.0066511412347928242 0.41058868530672388 0.010330010475335799 0.12504561065253025 0.11735237764423788 0.0046176815883866027 0.0050212100856680056 0.0079248989351175629 0.017169821262413891 0.016275329611057036 0.0066646040081344143 0.006956848689429247 0.54920238966209767 0.53759047573192742 0.78299108014595742 0.33112949079390636 0.0078183192586767439 0.21016177988959311 0.0059377342639606095 0.0086091810181933189 0.46071313162535388 0.43723861715712381 0.0049855100465021462 0.0081812142277367505 0.013239323053876212 0.10409660075988328 0.0047868525959625548 0.0071425022440441991 0.011011411419750806 0.009967932172406907 0.20979981149243376 0.64224849333771283 0.2360697605319344 0.0058155039659588716 0.75707953934966432 0.12211090760062109 0.0090725607068839424 0.008970200734250271 0.0060939440272643926 0.0031633805914326081 0.11171653012990887 0.00642391026840833 0.0061450609820754018 0.07862742275687265 0.86731309834762182 0.007218073862402535 0.87084463464937123 0.0088689139031169553 0.23088065982809614 0.0054645903962877718 0.63824255915105932 0.0084035500045349047 0.006853088288217144 0.0050827642242487862 0.010509617296803608 0.54854304806169474 0.34338638320727 0.0077229322157029295 0.43323209958437042 0.2291902294695275 0.67170490486092915 0.3052427160823063 0.1192277815705087 0.22733716427432177 0.12029408655911658 0.55518598334726699 0.34717302750530843 0.0062406657887579013 0.22846269005973838 0.75967629086504385 0.3288411430585656 0.23201636601050107 0.75700358647063493 0.010651476536990532 0.77092275671364807 0.012667854432092659 0.0047540490960637349 0.11376836081293368 0.0079042914597691367 0.97332191381942068 0.0074105687838051104 0.0085118973893491337 0.24154276816194034 0.23886309487340651 0.22782287391409226 0.0059398779495637467 0.33053314253868138 0.005989416326936935 0.12002465139858173 0.004770690053397468 0.33392993591556813 0.0054539633303786984 0.19685786209278716 0.22389914306531428 0.013176030515291298 0.008950786138014824 0.0087636279603521307 0.43982751800357606 0.73948253645136663 0.64268733649244325 0.34056495139623344 0.0049781648458771732 0.0043249706269133667 0.0089694242392037993 0.34607743818471864 0.45941975442004424 0.2313720379960145 0.45090348135328162 0.13423231235032237 0.95551962129877777 0.0082474847908239196 0.011862888874579897 0.010996957897369477 0.0066513907339873796 0.0068173366189759489 0.0070311025640407195 0.0061318759455222249 0.22354129991641086 0.23150371104370954 0.0077777057093489869 0.017424891630710579 0.0094339626398723033 0.12139553332778048 0.29127830051306591 0.0055919114796387209 0.12318050449025369 0.0060789688251460736 0.0038470760266261107 0.87008715798690561 0.3146182175152864 0.0055839322034809385 0.11901837462800512 0.32783008629562183 0.11578639898006685 0.10017831696635231 0.31749730730240511 0.0046853742995628788 0.0031712662875090394 0.010893178041846599 0.0042925149291200646 0.22995594207879622 0.013840019266254611 0.11263374495134627 0.24185473216660847 0.44691718903765359 0.11980813512259914 0.12748306219840114 0.1121515017436695 0.0074786730101793564 0.0057238494485517188 0.21724531434687594 0.0082345380093370672 0.12365495906502368 0.11031919348257363 0.417584671481319 0.0082374913907214617 0.005500904154805834 0.77005854552931985 0.75402638566516389 0.12222145680380792 0.22639087744690767 0.91406954705564125 0.0067098888887711164 0.45874494802615651 0.33744240125504515 0.0033504114211705162 0.52335074662528158 0.0062431236579872677 0.42420225662970457 0.5541842229145939 0.0073937712491438752 0.86582693036154845 0.0057933956275082066 0.77951621365162771 0.22461396831591063 0.0066836741251727035 0.10467350523104114 0.01433239708669215 0.23244966419200563 0.22492470399607464 0.22738051288929853 0.00708911494873944 0.09841811271108078 0.0063363800463771217 0.0076895457429616764 0.017089458427935474 0.0075956626894100234 0.0077678149585069288 0.33714207066431184 0.0054757053919672598 0.0034282413888763342 0.42840568604867002 0.0055424802734367522 0.010896667742744824 0.010018058195590925 0.32018435234281595 0.013519858747889402 0.0065995035616104262 0.0067789210249946247 0.0066466834215279831 0.32332340550460426 0.010752141881207836 0.43651500450082775 0.31651341250945036 0.0071508382383077976 0.0098842741389749758 0.0081524288774978432 0.0048585324598817946 0.96446408312210119 0.0044065855362742648 0.66421408605136256 0.3317329792725453 0.0071198900571703989 0.0053496523218952777 0.0076109836364104833 0.23203045909077782 0.0098906053587307988 0.0099384451104048421 0.0059792213504601165 0.53565670083716466 0.0096964571270501902 0.0093137653933074577 0.0057157841039117991 0.011438611258944398 0.6548042005102348 0.12392805266879384 0.11051297020246403 0.0091529001013453491 0.013614471227457684 0.018084255707071759 0.0053771810103886222 0.22749348288421589 0.011826870362063978 0.0081146240866310382 0.0083322000492082673 0.22934162155412327 0.4424695088098537 0.0082752824555155664 0.23717695460288526 0.0047645324182785109 0.22437655127683903 0.0042845342504141438 0.21639008160890863 0.0073572333568778852 0.0070869518712058342 0.0050359994349798379 0.0065991720689692682 0.42868281343011871 0.11894966982836144 0.22681671895095445 0.0092087496069841006 0.0038275443912485045 0.0064147521253083272 0.64928863892137945 0.0068487530475816252 0.0067607328073252624 0.22570193085266269 0.0081876317904632581 0.010275635830839808 0.29844591042275548 0.10710277761918316 0.22742769581971575 0.0037262652730796928 0.45456638712831388 0.12245789701565217 0.6566802909462941 0.11869654730936612 0.015689600840791539 0.010483143048158165 0.0074518940952098484 0.010222470086287161 0.0065774116832801564 0.091879826295554967 0.0059583641409199865 0.3417797480561427 0.009019877868197133 0.0041882411358850503 0.0055456247707176588 0.0035771936216142924 0.63897388459589721 0.010837964847485577 0.32829715240240215 0.011866847844445347 0.0095482771720681106 0.0039133127605510609 0.11893371143189618 0.0074452948113677957 0.31755663366831055 0.46233868655907556 0.0057753042464939886 0.0051936536213979829 0.22980808650342399 0.0088792491935170727 0.11065226080339677 0.008250704507684118 0.23105196327937333 0.6443637629357577 0.31056567837663723;0.0034348831946844505 0.0042471098347387102 0.0079286637624822812 0.010517725312676172 0.16646302338070579 0.42131431004452574 0.0053037627335831439 0.286729854555616 0.0043769240445754136 0.44615186119307104 0.27693985795979709 0.25304463650026221 0.41960441139197896 0.0070596436707169672 0.29090843668136673 0.42805031266126276 0.6864295247088863 0.55443724187443 0.0030666010890642893 0.41187742723993936 0.0017492335896593741 0.016769390104743463 0.0039368578233805827 0.011902679174503798 0.0037994146732845493 0.0049182028607123278 0.43643555900560327 0.1462829597543924 0.3065122766888842 0.43536399260068742 0.14549237960953504 0.0014410910178899638 0.15079817403249662 0.1355959228991295 0.71794554434990587 0.0049433412816048353 0.14077468152034739 0.012883195754039289 0.022286512805782629 0.0044230193491498395 0.14575574554287535 0.44208162074912727 0.0061154425730277438 0.012468910409891546 0.015947443956648599 0.002887423510193624 0.0024863715734083974 0.0036060459347142413 0.0065232620704584248 0.15108051486145802 0.13742902866983506 0.14544750457946679 0.28251447958938442 0.14685527239365459 0.68493079413966018 0.30454873214720823 0.29859968466836623 0.0062351148010327071 0.28564051437822929 0.14860497018626123 0.69987540447443797 0.0066294137141012311 0.0090022515498525395 0.0041771021508684074 0.011351283630306533 0.0044311278698386759 0.69392230673714317 0.0039597122119981584 0.41675720953696055 0.3948833428274019 0.010225895045097369 0.29816100862199935 0.0038006096332692451 0.0078268253713419025 0.0039444983903538693 0.8302207961008633 0.14867030874626655 0.14347615558852742 0.0080865963396356648 0.14682735537173924 0.29125065284398177 0.0042423896165956635 0.28031462945521324 0.0061989436869729804 0.1526111961987778 0.0033356447753972477 0.13708791036488682 0.27351251212169803 0.0027958548333774447 0.014748187650158957 0.15737655574235046 0.42422382646211731 0.43811174521637514 0.14662102430211374 0.14364625020725216 0.8344952853787424 0.0019784400705425238 0.006782659640133009 0.023506826783925447 0.12355333461090474 0.0067128590985600575 0.1485393324391216 0.0048228398575910006 0.53327582696666709 0.0059723622485252786 0.97561852670263804 0.006136592438391676 0.0092690915312479034 0.14934983768014828 0.57567491797407389 0.14857748064001425 0.014812130629601305 0.0072009690212049577 0.0075946000431150983 0.0056419274914847588 0.0030978837503051306 0.68603351719415351 0.011310371668071069 0.14870681418654483 0.012906857533852371 0.0040511229849126366 0.0055048568390508347 0.0069302073275886297 0.83315291921080614 0.0050084746141465953 0.0027664230069885561 0.0072075436637782844 0.12674978511625093 0.13079801413766359 0.0078455463544625705 0.0027192065120763384 0.55764373536899214 0.0063259303970739367 0.0041214577566454375 0.28499379150096754 0.0038364697885513725 0.16123452818310363 0.14682668734022508 0.0080375187191643414 0.543690601393086 0.009271378195166536 0.0018472328230447344 0.2862148316239953 0.56454974646186973 0.0049691721439761166 0.33118181982418865 0.1393353458003502 0.0044705541950288488 0.85454428227434909 0.0082133021809858084 0.96915779059484919 0.0048223577091810292 0.29529603264379295 0.0047285642984045565 0.27305898391959516 0.0035716065457657787 0.43574609059585134 0.0041610731707821709 0.15098842713945962 0.57688001361256613 0.024360995127449152 0.72322066187186074 0.18007399008018615 0.017225989930965704 0.0045576136159471209 0.0030010764546159001 0.2917112164800148 0.0075738604340824817 0.58005228405183396 0.0037279676772897972 0.005538105666190664 0.8285460676371087 0.15014983815198377 0.14853843188952795 0.67058948676802854 0.17854552135113086 0.01609869561849555 0.55341835753804502 0.0035246958123971994 0.0042643964674710707 0.003778499354912597 0.18106665616332346 0.023280446744860229 0.0030981047648820318 0.13157493074854537 0.56842405569572796 0.005050087297844591 0.0031628292000330325 0.81895524360887728 0.13648742467893488 0.0034994679937372592 0.14179556963629103 0.58756640844867725 0.0064752951372181906 0.67121626350890862 0.67836746128294945 0.67172658546699848 0.91243434104960897 0.0065408261929480989 0.0055922258628135204 0.31924732370760289 0.59541325426149616 0.1650782968125766 0.13755311838824694 0.0045106299094938556 0.010942765735660883 0.1489755965087303 0.39889446212707685 0.98307985270252862 0.84575401602134415 0.0075695877479571806 0.70590870627410984 0.015764716455698463 0.16248427208136243 0.9363136756226581 0.0038680995271599457 0.00430154495640153 0.0051324967619359729 0.0042101605742183813 0.010149266082888148 0.14707332905561551 0.0022193179925132428 0.011944078810974632 0.70005504538808705 0.55436258841139641 0.0051543791308725825 0.0038155005716464271 0.0076340734398835548 0.0057156772258097361 0.0032195518121554056 0.15451191609535947 0.0046540962351147635 0.14670482169989624 0.0032279434748645457 0.15216252479533895 0.0037020382746191026 0.0084121410097383401 0.55181216165404456 0.29251511833473071 0.0025284421456850752 0.0072685861993690582 0.0040218083196161556 0.97219610843569237 0.0032719371067722993 0.83581183913285462 0.010285826225149196 0.0084297088411762686 0.53982026846813347 0.15784231057754228 0.14181516804355312 0.55474033502343501 0.0026720600252837612 0.0065136229075161318 0.015110639749155165 0.12992149896128607 0.70347158591589876 0.0047696960317476665 0.0086676115006662918 0.0020837945798817857 0.69151801298562166 0.15526199430563972 0.58177908197845452 0.29566536734320992 0.0057550812101411341 0.0046419550824457791 0.016125194634934038 0.8466188447907983 0.0041905627484814245 0.27123691479223999 0.0044460264143805772 0.010760105508121759 0.012243681385433476 0.14885464580050956 0.14141190430632367 0.0054429578356543686 0.71338718971338022 0.012583140583575762 0.0022558463561801615 0.0031628973431360409 0.97324300828675436 0.15501882704046194 0.0046406772372710398 0.82693524616595748 0.001979164857303465 0.0043423450033351239 0.0038613098697298028 0.0040425387833814552 0.19301690977892347 0.0038064520780147128 0.41593998118784525 0.42506262156957508 0.0050863825373046014 0.0036705044971587133 0.0027863462104858175 0.0028827518628325301 0.27740937479273409 0.16166713491724252 0.011239052053213135 0.72422732639250553 0.010903545926659262 0.0076141839654939193 0.0043842847633304999 0.011214966660086131 0.27711579447397727 0.14689324236599527 0.0052255074166461576 0.41419966352943222 0.0025209582003967723 0.24304103149827128 0.0043884300900842851 0.44514623902814859 0.0039396837728232527 0.0034057916992477739 0.0057643574296212191 0.0029265032652248781 0.00282169121600234 0.14409540033775542 0.0087385127320428087 0.0048877409224362279 0.0053681020041233263 0.14589633790229301 0.0059195057923101466 0.97387462312361117 0.2893858325827372 0.0033275319852640855 0.422850381233702 0.53578142701028864 0.0051371112530948617 0.0043446674155463924 0.27985700065496821 0.0081669696243654687 0.010306359191921776 0.41969855220038538 0.97158456867126808 0.0045385925628708395 0.0064539748786212638 0.006212710303038483 0.17388094017125205 0.013404790639452527 0.0066059302747626253 0.022938579866180583 0.0050147240882743695 0.84986848071413723 0.0052113205006201957 0.2801962452947388 0.010270169534454289 0.0062238638768176754 0.0047858975763481575 0.0034928067908895277 0.022087204818884654 0.8389203540683402 0.14528121324577023 0.68363145991380891 0.14689056518354088 0.0027097545043770479 0.013303631526389621 0.53805480320479404 0.14523670920993037 0.28019299082299354 0.44547508434939015 0.14635202182683452 0.0063981317961501038 0.71512259356590613 0.55381460926617532 0.41831609484963433 0.01985322597462133 0.981299754287416 0.025934162275654066 0.98366386558337626 0.006477604716571622 0.69231053534919795 0.0037982737345597572 0.00691919414626351 0.13880326482869326 0.002869967916411126 0.0069802405750411306 0.27641352075215109 0.006179349131831823 0.0031981079813214715 0.0058194067872154327 0.26291838728677208 0.0095563008678574042 0.84147939851046027 0.0065699329623626901 0.41727062032180967 0.030813764980991608 0.0066543492778628624 0.15134821498446205 0.13320003037786962 0.0059714141848228354 0.83791762309948004 0.0069614678304434768 0.0053402995873957325 0.80737674969929552 0.29533442705220514 0.0037705576425806075 0.0052759928577190349 0.0057173583442647188 0.008127190638005875 0.44444491675258391;0.00181117429960626 0.00056749699043920051 0.0039941567086050588 0.0003126437287176963 0.0011888562015150584 0.98739815248521257 0.00037721773928608174 0.99440893331908031 0.00050476330050386927 0.014518179189333666 0.98575313707684942 0.0020510855306161949 0.99501434569128189 0.98832536688314043 0.00049681318196391543 0.97757930783014235 0.0045389211355510006 0.0050706624535945787 0.99432997793724598 0.0011373556841386969 0.98349891409277701 0.99955496951503831 0.011851743784551986 0.00027288017783806998 0.005389814536795037 0.00025804742526571475 0.0016845225365604553 0.00017032229944171005 0.001609486980741402 0.0055790481795058465 0.00029406296154495552 0.064977597020666036 0.010531309669508541 0.00015395308829612336 2.4314355051561734e-05 0.99881320183402877 0.97936674602396978 0.0052797103653283587 0.0097860594882198514 0.98455137423292194 0.99934975572465712 0.00047829610247472349 0.00074769265908451678 0.97949917906899053 0.0052832729433657608 0.028837912448131966 0.0027165834482865184 0.00080168476605490765 0.99720356328947379 0.015676448909102653 0.0013899359136029907 0.00024283683563881459 0.0015122196388659391 0.00014408616365590692 0.018894401465487744 0.023028969880644005 0.046448934303168814 0.020918350562767314 0.015620928503035966 0.99998670974473536 0.0010103941864901325 0.99643033269298409 0.0039300413988198873 0.0079202740138691451 0.99176231296557504 0.077482329197824426 0.98356194474740921 0.0011363330837290463 0.0024870537272353465 0.0021585216214709984 0.98958218742611093 0.00052633003776449247 0.00094699492165793676 0.0042440111338526458 0.0012289230667086365 0.024940097199523673 0.0032584141766023003 0.0011869711576757253 0.0020757035132833927 0.0081117773883698056 0.99094075872003617 0.0025973656688684297 0.0019126739620555111 0.0055941754689086461 0.99838278595461372 0.97651133740062523 0.00043688619601719894 0.029120062596200251 0.0011210246926060018 0.00088593981070441081 0.0017267542055178962 0.99443425741919611 0.00070162687590717904 0.024013055678271607 0.0026468252430114012 0.019518194921417518 0.0089443479755798392 0.0014449794065407116 0.0077131906005296329 0.0010599681641918777 0.00026629613519359039 0.00081441541559586781 0.010676711283501072 0.99704326635830265 0.98298124790795671 0.99923845026749425 0.99862373450260633 0.98745832773655651 0.0035695961037273062 0.00021552477165806322 0.002889848776931549 0.0048311079726448781 0.96614862790664058 0.00041652636026592009 0.026564979220550487 0.99776537407717425 0.98549878005135605 0.001408448726345228 0.012761366041780102 0.026093907217630708 0.00087520987890084376 0.96749836882743956 0.02051716383838079 0.0013475470833690427 0.00027921693037253958 0.023323041309701652 0.0003174466928009815 0.025308346442941772 0.01530449298462498 0.96727485609265973 0.002506278906317716 0.98933064019160699 0.00023122972926282063 0.012720219291601756 0.010794689221046427 0.02535528388053333 0.0034339719422457468 0.0044157890277815824 0.0014528673610176737 0.00050480052992536641 0.98368261549309199 0.0018381478011400072 0.0051211489787359394 0.0016690973514980505 0.00071739213778260094 0.0017015608710115083 0.99942861582948861 0.0032531057478529454 0.99625578489176236 0.011305902304114763 0.99999823059355797 0.013930286097602454 0.00059142482270128157 0.9951908249053546 0.0092968074973886171 0.023165584848224081 0.99103625376539284 0.0023612828927424465 0.97905619019108459 0.98853097817514535 0.00049950836808202836 0.00071107473636927026 0.0014554109908883354 0.99631960219487137 0.0012314359300235429 0.010788040861016602 0.99914167207568483 0.0029651296202989159 0.0018655369131233212 0.0028321771778475214 0.035340124779044003 0.99728145667143397 0.0048172733077180997 9.7341616330354254e-05 0.024124685369637716 0.001250741514149518 0.99889566253394424 0.019495174961352783 0.006218340441910792 0.013633850847781655 0.009328897228656343 0.00070034832823897414 0.99738221056108201 0.00044060882097547542 0.0052123065180213679 0.01928517444922366 0.0048643611631274527 0.01030095613883858 0.99957686195811879 0.0044140697343419983 0.0035388731942861676 0.00041632239513077294 0.012047921959334818 0.036193384161833618 0.98223767224830194 0.99515218309971665 0.0060583233750738236 0.0023938363614998599 0.0014116154850525562 0.00094866827819570221 0.00058678751030338404 0.98895847913570534 0.99486056817819113 0.00045082548705932806 0.0032035508881196732 0.0002922174897808585 0.97390698193655334 0.0046226154258080156 0.02100945032728431 0.0021920199239411878 0.00813806700258966 0.0051455943098838277 0.01732355931218147 0.012632810167242976 0.0011973885199893066 0.0008687943734100327 0.0035232948118007626 0.040040003801219699 0.98506058199007207 0.0011874330452618423 0.033401459908442864 0.0056350517263844425 0.0088683080421477403 0.0021479689500474171 0.99942080164490754 0.00018042778862539411 0.9982552902574966 0.0029299699654694576 0.01974449463470191 0.99964908214754666 0.017883294979186736 0.0040913640712230241 0.98483102040785697 0.0031337573358622139 0.00014780260737081764 0.97502748092635072 0.010416685994612575 0.00039798591203481833 0.0012462930108058318 0.99068617601197706 0.9971121455812535 0.00014911880454537789 7.9476069120538689e-05 0.00056037713889360065 0.0013977645023245467 0.0025451959863841246 0.99494465425047574 0.99806555158019439 0.00046226565906441557 0.00057347813481775395 0.0003468398653447693 0.00086226407068103542 0.0020727494650556351 0.026910610657414239 0.0052844061786867947 0.0004011888817488866 0.00051092479168537834 0.006194124447533705 0.0026941781451098354 0.00068878386277830702 0.00083887039708363499 0.00097119899780128088 0.0019002656652227789 0.0099290625725922919 0.0026138029036924942 0.010555569319534993 0.97576563806849603 0.0077079183890249835 0.037721289765354035 0.00034112619068547324 0.98254204170548187 0.020337449371627552 0.0021344271728887779 0.017342991352845921 0.0039388966390530621 0.013192891357722118 0.0013751571913901571 0.0034253755249818731 0.00036659188184016257 0.98774301841342116 0.99675412953935372 0.015753836583675285 0.99735817198536214 0.0012677967128721997 0.028243801545804467 0.00079091224945260176 0.0050607227093141848 0.00029241285910671858 0.004271865238042692 0.0054551005946806338 0.034543163108041446 0.001987068645292871 0.0022295021754232766 0.0032581660582594141 0.99893315385158532 7.5666734794802048e-05 0.0093085609970639995 0.017162871552508674 0.0037012230174206413 0.00085205947328121907 0.99368514309838385 0.0070724960515620751 0.034947331807875501 0.99311640512220423 0.01078714489404424 0.022221335097433036 0.99479429163148236 0.03244831470682305 0.0043320962095465057 0.00051221884065512412 0.97591007268757746 0.0022141980504208846 0.00043382260305888028 0.002125832882403411 0.00096991564683767914 0.012524455536379138 0.0084600023620963541 0.98317901535740071 0.026160097470190834 0.9819173723475717 0.98004653948581388 0.00097918819515835777 0.97828892452124605 0.00041919559951165096 0.99316715616007523 0.0054715006322795089 0.9890531733345338 0.00159368105724277 0.00033277680827679674 0.99957882640330131 0.0092637506095288018 0.0081217673252449909 0.99484990405018081 0.97818826824397376 0.0012945379099389763 0.0069926946109229657 0.0091309677620916383 0.010840895374151845 0.99908777632821333 0.00071225426336272719 0.99031910108961507 0.98485855072212258 0.0023353494639103737 0.00089704116899096814 0.00058507587677577926 0.00044939430259711917 0.00069542576526744669 0.017769820480753387 0.97184069453112276 0.00084018439819589532 0.006007191199979116 0.00072914503975803741 0.00044935913528278262 0.00094925108456034941 0.00092940823585560637 0.0050934950313499495 0.9874630328112145 0.00062867147948445423 0.0005461232735538904 0.00013961877094677844 0.98409595719303755 0.0056078631812614462 0.99816335748491314 0.00063091424589790642 0.0017574892592872116 0.0028519883307414015 0.99920738485057381 0.041155614874861302 0.99294323580978539 0.0005806715008990405 0.0026057362627133714 0.00081483419070495103 0.0020216959770387398 0.99038753989607287 0.9862214821800751 0.022367810062645082 0.98192156847940371 0.00038820672283865746 0.00042935581578423414 0.0062225900320611168 0.97404002558582625 0.0017625086600764979 0.0056364556583992 0.99327308799532421 0.0010027300143968104 0.0025262186483749013 0.011894726500817505 0.9986106443583237 0.011844328057739511 0.00022510180768118228 0.017094634117220824 0.0049182898207375389 0.0023577374055427209 0.99999029047242549 0.98901126666549299 0.00095929078867070504 0.010082190138133147 0.0010775315206313647 0.0016444163631760976 0.01136679836647269;0.01118535365015132 0.0042305605639591489 0.038970442635819474 0.0027806072162763853 0.011532300956150144 0.033430493309642255 0.0033818666693938115 0.94462136693649434 0.0045678849201281251 0.011630347772443032 0.0015470215060179554 0.0072506158676801909 0.037958206870554186 0.010124947510707799 0.95375070823168995 0.0062667547719459302 0.005509397284533547 0.00653172428772523 0.0047179026944873274 0.012170051586088422 0.0069638406366281424 0.016799741654436432 0.0017690641948838808 0.0060856980858129102 0.018123584228862618 0.0056225962416150575 0.02506164972435955 0.0056286184605020273 0.024299136584407403 0.84804544968780882 0.003070959189717786 0.0048238617679669171 0.84519143747280578 0.0045051234938682056 0.004989808100266625 0.0059238227601581721 0.017128410819524147 0.0031972956460334392 0.0086576342181353318 0.015903138797202277 0.92353090646618086 0.0029436998141810604 0.0023650508304683018 0.0028967095898710547 0.0049759044422479637 0.003393826381558219 0.0034859229430972663 0.075125960915052067 0.062716099472986148 0.047038270822847318 0.038120994899201538 0.004395828267497957 0.002904925891991956 0.0026991417189758653 0.0021809653348208212 0.003997550372948612 0.90529968120084892 0.0075781797637712129 0.036607404401421323 0.012017826802067073 0.76299446950116601 0.033026764764717977 0.87560758204225642 0.0092748322370338563 0.87959745718989912 0.0027949078438710535 0.022478928698146401 0.0050828045397181892 0.0072908313868035521 0.011959220569663994 0.0084905965470688204 0.84897225999548365 0.8939708778661436 0.0097291243146482818 0.0071188532097610537 0.7532775107759393 0.053578196592093195 0.046740001141720777 0.0067748263516098205 0.00097985326587674113 0.018532061118234782 0.0019869890018738377 0.010621255850265911 0.026723980761891447 0.019419118513162994 0.0039409394745185027 0.012096715249106599 0.89630781360696643 0.0065437647003154208 0.0080705965754022373 0.93827701945493613 0.96143397804631581 0.004811056128969698 0.0034951103584835337 0.0097713911905507479 0.0034932560705603624 0.0018189947037033597 0.023003911281419938 0.014350344448222193 0.0058569375570220079 0.0016890897620630587 0.0040847226473162109 0.90539715319716296 0.0098165100240448968 0.031826269585233387 0.95016292061605934 0.8858710457599841 0.0038207435621333071 0.01122181872380376 0.0047195655571330855 0.0021313178504511212 0.005595996445200019 0.018026888234445277 0.025816382852571707 0.051901888291384764 0.059955738182752134 0.066713065107505937 0.0077434216730867646 0.0021499473592558969 0.0036472575774688615 0.0023220418554498138 0.0045598400640228815 0.0053359388820729175 0.0034381757152691724 0.016434410997771591 0.006214497393010705 0.0046006180337237008 0.067133172760526591 0.052014058407179715 0.018423972276437869 0.0069765568755387544 0.023934717911204079 0.0051498916947266887 0.0044022667477978152 0.036639814005972819 0.0051329940260208991 0.011344892764365082 0.0065149506115477181 0.060573192392095562 0.0044206663208188899 0.0036777388364507111 0.0060811932665135017 0.045537308822728523 0.01117125144258258 0.0056309108245838294 0.0031222189170859757 0.88522944554564031 0.0027822969463241819 0.023617856361810879 0.093216457075462403 0.93955580154257923 0.0074506080244952583 0.0092354505893378451 0.020675867500931071 0.01597035513349214 0.70861258751837386 0.018563583664552723 0.0065606864534833711 0.0064040908446709064 0.016692293145108804 0.0039183288760390638 0.0040952595919019263 0.7636492848581049 0.016397877554316435 0.0049915623395581634 0.95989163301106706 0.029860556864568587 0.93175904340181281 0.0045406638991039505 0.012830799344100008 0.013842993759850576 0.11058329117400631 0.0040964383301460416 0.025693841593431636 0.0053590855095677114 0.0078597225874459716 0.96137644158753088 0.15035427527007322 0.0096704307068552504 0.95266446355738721 0.021405510889340864 0.0079154471401346564 0.066488819377520575 0.016380939466735089 0.90119023433613143 0.027453155240836229 0.96146008243313186 0.0054397157552251397 0.015805045776607102 0.15569186922558803 0.0059140641944842769 0.0080250511490317731 0.021300909822212864 0.0064159364564766435 0.85429382087496275 0.99653899056454764 0.0088627701290824781 0.035528462531581248 0.0069895235934200328 0.0092553286346750835 0.0037088159233627759 0.91186902413508497 0.98239866799082509 0.022905025239840504 0.01137501285181643 0.1678977821416569 0.0067102832548455119 0.013588321559654311 0.028659748433270866 0.03444700027751238 0.0072171287527459781 0.0085707027202176177 0.81031818791539312 0.0097832687986194704 0.0019390458750255363 0.0033542817811161303 0.0081708772646517797 0.013415257100738619 0.016133335497686068 0.0069816587265635896 0.016124195558362191 0.9141208306075882 0.0089820235670158999 0.093270145824084161 0.91086425748802557 0.0046008845819396956 0.014677949866343227 0.0043586779507454347 0.014111217576822519 0.009474792709566757 0.0040896059684011115 0.016929835396979818 0.014242892764086761 0.0027237173895412262 0.003457281781521826 0.026815156618856414 0.0035369412216861209 0.76730748076752286 0.0047698698965800441 0.013290910738530143 0.91290464841225838 0.020677596674247723 0.89985045096376648 0.065906858348159986 0.0022581288558786599 0.011572210505170379 0.96262929844208245 0.9375721287788028 0.0033273199694564197 0.0013617666731760916 0.0053408975286228346 0.0035688490765371172 0.0047388314247271603 0.0055618256879094623 0.049071374071751168 0.017745716020778939 0.0056250739500049848 0.0043306210128115493 0.83882524897530408 0.017627813970495822 0.010569792053246086 0.0062813450517820533 0.010133139745631452 0.94157434761437331 0.013268979268869593 0.050462778740286755 0.043502900601934978 0.018176264367988911 0.81115162828112319 0.0034073921621052008 0.018519092867398824 0.89384416669041744 0.01261160335837414 0.017384547743005092 0.024119543910943647 0.78396327521963782 0.0036707322726377473 0.024803529756504458 0.0049664039039165799 0.91857092075940783 0.80938090511856386 0.015919791190556882 0.013152406839423779 0.0089200841943634663 0.03165588917956131 0.0078700851663210739 0.014072773790429514 0.0083098615128831474 0.018274311222428806 0.055872841539930489 0.92633145887082291 0.021274462349612545 0.025342436601964582 0.0053516810661739331 0.0051157264465789319 0.0077675399970602698 0.81207683285773014 0.022626325447367833 0.045393314581619361 0.95637628672661801 0.0082793201592339088 0.020348818216647059 0.92267524769384024 0.1117131385280349 0.0075285114726467333 0.0062408441257281958 0.017295918137803509 0.0087245425736933325 0.013223995239730356 0.080308071177126114 0.034709079872495725 0.0028770354127260786 0.873445736870617 0.98065673221054384 0.0083012098639297267 0.0085648950118345415 0.0027812516703765813 0.98500107547923765 0.019844295325902532 0.0066045728209394097 0.0093268078314901973 0.005988041275041581 0.94157884409551029 0.012122819464423567 0.00452697325650964 0.033918136367582716 0.92448728382218237 0.0053488219742669737 0.001829172534696441 0.017062450693383614 0.011988132477573257 0.0076026094550062026 0.85098302872079845 0.97017838289312663 0.0048050237820244984 0.0099650961746765455 0.0054829458967497373 0.96511460512674763 0.96713221258692117 0.028076250691403373 0.028279084034943353 0.0043233576321983465 0.002243289596485044 0.011810716021382847 0.0046469374030678112 0.034562292653743512 0.01532365957105483 0.0065747684630993661 0.013649864512258558 0.89229565903663621 0.062148642339904213 0.011833108963381123 0.034582627384817217 0.0034662147308833192 0.0063312457860934318 0.015352079126130271 0.0047167325994713826 0.0054883970876436977 0.94385885311633222 0.0078431440639107498 0.0043050517097626305 0.056607762377009527 0.9524776399825815 0.0044565147852554119 0.0047415983626685927 0.86947900300248504 0.90172484676996412 0.0065337272855016679 0.010277109282681088 0.0053402227047576615 0.023725989572400186 0.0024415320298970295 0.021656559229727267 0.0080077146118280179 0.0044313280563138165 0.036054527041284604 0.097981161976735662 0.0051423151959368802 0.048317780253258613 0.019158011800208111 0.0090849359334203277 0.017943259628612637 0.0024954424709256184 0.050921187734926127 0.021490020943402632 0.0040600695371700709 0.019936156229427713 0.015610857862344592 0.0064524444037771418 0.0091663900607157987 0.047469308718702689 0.017429178521776743 0.013101749067861743 0.97415895194160973 0.014252878139040527 0.0092515495677909093 0.0016803930978043717 0.0052059181548762285 0.018022460532479315 0.037165650882442287;0.0024206691681891365 0.486681806681725 0.40300366029807549 0.00070783476855243422 0.0044221473466615566 0.48229709799849074 0.0011755233936777652 0.97169586739557845 0.0046260634554552054 0.49036463830767002 0.0025692331195512159 0.0018354480792949469 0.0032041105649557489 0.006464734701223186 0.97818469724153601 0.0011465972368220252 0.026448669478286717 0.00066945145458328502 0.0062562828912725212 0.98870215109144188 0.010683832585258088 0.49365858006401331 0.0088741212963659409 0.00086036594481980191 0.48702365809234349 0.012351947503993838 0.9465848542051295 0.002027889670375873 0.0023736452872872385 0.0097963542865530436 0.00075434678993542201 0.0063059310662170508 0.021756551203395969 0.00095417908349284294 0.003027840579665363 0.011577827968999236 0.98372299301432098 0.00086824210418557193 0.0010666694685376543 0.48602430635310556 0.0017910792644062149 0.00088109589381122027 0.0049421666625539921 0.018003337989331899 0.0031081352105287287 0.0019985552893589035 0.50622305626281272 0.013207121092890281 0.97685282691344177 0.48176281226832712 0.025744589581167581 0.00063099909404066385 0.0019665187544612313 0.01621783102517978 0.0026897449864906162 0.0038546360477846927 0.97635783318225866 0.0010281813276414719 0.0017567522095941002 0.0019018279596395931 0.46737808487544935 0.0046823796936791076 0.037164813341558287 0.046821131058158993 0.027657084569221523 0.0022828007885954543 0.41035055309435042 0.0035172543363047402 0.0019967803363193544 0.0030076935773173576 0.0055654074945470072 0.90329698322801211 0.0025958509229777526 0.0017871600633028071 0.00081905864426760314 0.97937060524770847 0.035622492516464682 0.52470918819699963 0.00730445719305973 0.0045663393357759869 0.0015713207710621982 0.0044594150100304743 0.0027066932617858357 0.47683193217823217 0.0011138218952472603 0.0015587052665115403 0.007172273784280099 0.99884713709913919 0.0012748623877090999 0.0014843493238618443 0.010636695547501906 0.0015605498074126819 0.0053456357004415169 0.00039888746827860036 0.0020766936675364464 0.033012414338317031 0.0054108171221119361 0.94664305605238797 0.00058849371372325155 0.96398397738813291 0.00071616599589404664 0.00087975439093228953 0.018651182293872599 0.0042094868103871091 0.0038591583085220852 0.027873489573323675 0.99471452796933413 0.0031219870494906769 0.0013632425127551358 0.0015338708285256995 0.00052285223284177155 0.0016373616328635751 0.49371286954724902 0.97120259343620996 0.99623818287478483 0.053673752406199204 0.99526318866934771 0.00098032535547325824 0.0054299627734437925 0.0059194061399162655 0.0040432770122958558 0.0067900308744120574 0.0068492996485624595 0.49260219013197942 0.0030562281331508422 0.0018100443920570108 0.01019850706617384 0.042066425912071249 0.50899133779816075 0.47465664686817188 0.0019884514494672529 0.00074901261347495396 0.0036141131826214097 0.0030775817645894857 0.0011709870584021994 0.00088063584914021067 0.0010660366796000856 0.004375905846300268 0.0080883618755371329 0.008521753741803452 0.0078718646984457241 0.48927033388096886 0.024944071601597465 0.99235580939176793 0.0012175653345624067 0.0018384369464761515 0.0018760150055074317 0.0038813571651432855 0.006885494077000797 0.97716250291485696 0.0040996965610853925 0.0063943301924508176 0.00085613399439015531 0.0041767676254930467 0.0045398476207248271 0.0050985129142560263 0.0021212047886780341 0.0017793069792246593 0.0012662630493807949 0.86241365067629605 0.0037207277444913176 0.001129397484655056 0.46601132424471547 0.00088358624091957119 0.0041310416565526354 0.015628099500348491 0.0039271408553842183 0.0098813394230134032 0.49539325735401274 0.0013654929644700449 0.00078283348150682533 0.0035291166815767452 0.49456175937499819 0.003861053721485519 0.0017086866420029999 0.0051591988455429675 0.98388162818405034 0.97520184738383997 0.0049660644677327025 0.98110070851578435 0.98836670745231592 0.0043403528527933277 0.00078077343891734042 0.029463000428998101 0.0021822002839530534 0.002190824105720645 0.019050385126679663 0.47608061750991132 0.0045118671729163749 0.99444514023933606 0.0020761448203838523 0.011920275489847865 0.0019010885246248182 0.0010897967630804622 0.53519537301318776 0.56237406942635093 0.0057305172625738802 0.99527422020987832 0.0018995781160533547 0.001868599486581552 0.00074125168566438438 0.002751875620161698 0.48328866894426126 0.98726273134494558 0.50173975256206405 0.98218757395128997 0.0017858014491303714 0.47706581216093374 0.0093523057690451192 0.010829397311028803 0.004261910204338722 0.0013057907557228405 0.51510734328139662 0.020435788553571588 0.0063660896546534904 0.0094053094564229642 0.0088942900410235448 0.5319195354991646 0.0032477778672148263 0.0017530093453730746 0.0019757494622360001 0.52132354257104119 0.0019100081994097924 0.51169369424064903 0.98325450234494283 0.0018363560386698739 0.018023988700520601 0.0008435347082507347 0.037441592758789305 0.0012976473073071045 0.0024296643725177352 0.0030167932606153256 0.0031600597252645661 0.004169622902991818 0.0019287644078880804 0.5019963555139294 0.0017649527838210566 0.0043083448161758357 0.0017051752559794002 0.0073847334149293072 0.45807269594516459 0.0022072566191539082 0.003771276272176086 0.98149462747200666 0.0014905479682228075 0.0009227272357860873 0.45833352191103366 0.055705824538218936 0.0017999693602644509 0.0020358643699708609 0.0032556485106576905 0.0021006770134966873 0.0029529577995066648 0.0024077605912489076 0.98069870244712476 0.020240253916485318 0.00082742591452823853 0.0015933803102389423 0.027075989204444442 0.0027734945332121954 0.00081816480594671835 0.0021013990335117527 0.00091433940846359467 0.020637024675181206 0.95403554147133507 0.0038354467525401337 0.0028237068999390352 0.4732253067803871 0.98241898882689416 0.0027779584107000647 0.95598327462859001 0.52004640351162279 0.0058608891502448454 0.0010667642567960627 0.005425378927742178 0.9850568376046771 0.0046695393028466457 0.051330547816714756 0.0048859402450142642 0.99640516576417804 0.0023129111772869702 0.0015122023980234552 0.0074129083534016284 0.0044457526382911542 0.52401851737190319 0.0011882813338792971 0.0008203449762555113 0.0017155804699365966 0.0030933450478214334 0.97611121598207706 0.50457675039135985 0.90148956136091207 0.99750765567297583 0.003997976638474717 0.0011799261505770781 0.0013682418578027725 0.49439846807650473 0.0035466235425443979 0.0028898788742780937 0.99074697495396591 0.49427152206445524 0.073914345922115252 0.007592048056470165 0.49009674827067745 0.0020879217648231011 0.0034830218088605794 0.0030115209016605957 0.002826600543288778 0.55577052911531244 0.47344922014544411 0.056944131763731372 0.00068825244736496916 0.025792915768283797 0.95091665563675143 0.0010752368437367426 0.00079350095195697076 0.0014727431836836545 0.026730639824708111 0.011500005692567575 0.0019839361871405604 0.0037299722941494537 0.00094262545805728611 0.98950911979546252 0.0017811013249930392 0.0020314355349525244 0.49346874973873889 0.060220379701375157 0.0056440710759789493 0.0079934075490566085 0.00040444388972657832 0.0023312555834246844 0.0018776980580169887 0.99900985038725798 0.99570874477509097 0.0011470407719808991 0.0014375364040602071 0.0022229256945729202 0.99648708247855478 0.0080033728956567813 0.0054296347595743158 0.0047404025803078264 0.035513138027356186 0.0015084990585377208 0.0038952228914640903 0.0012336576402694611 0.0042371536323537427 0.96725405719345836 0.031712317167630177 0.01884119225540019 0.48462258542863401 0.0011920148373755083 0.0010455909724227668 0.51153264554681965 0.0014420554197047794 0.9922850780618826 0.48033030221456641 0.0019459268902693577 0.0028294739106635193 0.94083377813161273 0.0018725314991324105 0.0022240791589387254 0.49209662384801445 0.026562048363513825 0.46527439925288672 0.0027939143061514789 0.51885303125169757 0.033080402261517566 0.0012856108870934204 0.0077835632999778146 0.9349685337293383 0.94103461192128279 0.0017662802246485767 0.97598404496823743 0.017347300179951342 0.0016528697610495896 0.45970335366809539 0.97199403731023248 0.0015979987774391064 0.0018235728976356931 0.012631489203605961 0.98541640097971961 0.0012584311607651568 0.0031074438659261967 0.0012423179645913744 0.0011287273823553075 0.0037351486847928051 0.0039120418496168853 0.00064496071150950494 0.49611113291895992 0.0014779360843798187 0.00069835275204131351 0.99074389490073878 0.003078057365249489 0.98552367926079043 0.98448141348533103 0.0016835316141747552 0.00082216129733560532 0.0017301490833722746 0.0013147409159759305 0.0083510103479055055;0.00014897388643681604 6.3362665732636492e-05 0.99239943546551912 0.99293807432219738 0.0018392550622239683 0.98540352414691701 8.753114825729026e-05 0.00048500070644662724 0.0013578522438508071 0.99302092462270641 0.99573864002248025 0.0020083993380314259 0.014315908424636228 0.013911771826467721 0.9998673681687249 0.0016554626114577056 0.00084057955408861791 0.0023957356425702435 5.269645066110995e-05 0.00077679936951079425 0.0016075632520989017 0.99519875948304548 0.00048021196916104767 0.99943338208600596 0.0004807034672806112 0.99998300080129388 0.0052576241317848589 8.2404245444991079e-05 0.00026701750777438204 0.99999245469807274 9.0838877556403589e-05 0.00070029511054668907 0.99992829101594671 0.99409562335467661 0.98610335025638851 0.99085182684827289 0.0014500890800816092 0.00062594314488980817 0.0019400845890711175 0.0024840062178698641 0.013647129121307883 0.99652989245679613 0.01701960700040191 0.0034439612629962261 0.000470301516307955 0.0045202742444020606 0.00091262570448569203 0.0013725420839798888 0.98519745188129149 0.99792267981453031 0.99595673056744083 0.0058699295933017509 0.0033554028912267824 0.0020954183698378304 0.0014399133630568699 0.00054201032682890009 7.9265503421129254e-05 0.00024760286474637849 0.99998497044285262 6.8018333856042988e-05 0.00066302333109959696 0.00030878823237889455 0.010258456666414496 0.98771991296224715 0.0020088876446872289 0.00013659329979132345 0.00014259535011188642 0.0018654784583427928 8.986879828572996e-05 0.021293244826819463 2.0435703085809753e-05 0.00030358233792761671 0.0014773789541830922 0.0006967671179576154 0.00039112711574496191 0.0010802191692012278 0.0010082295627924411 0.99997252672878689 0.0017698255872067314 0.99616311851532346 7.7778701044957423e-05 0.0010558590417378986 0.0061977218916200762 0.99361182740899956 0.0066512312947832556 9.002052862506837e-05 0.98331187138489784 0.99809187893076035 0.00033937965366717616 9.7367829935457724e-05 0.99790249715474544 0.00025562509433643021 0.98743090070574935 0.0040031307063760234 0.0003906702339705726 0.0040159462242720777 7.3100494379983974e-05 0.0047353345851542548 0.0045779140475032893 0.0017375080661932577 0.0044873718455934429 0.99518327726102007 0.00017510860524190417 0.0073602054212945425 0.0013660784538424302 0.0094960326788733306 0.98766061414305684 0.98199581223174848 0.00039106702221746158 0.004274440706336171 0.0014235158012434364 0.0020827127854714956 0.0018635170625292451 0.0022528869446963081 0.0038396963027769273 0.017794499291905977 0.98661217363333797 0.0014913577408865737 0.00042340329737453037 0.00086371403043089589 0.00012608327231977429 0.002380088634289206 0.00038653213632488913 0.0092752432464384329 0.0029408690456077077 0.0012819751607676959 0.001083616764268392 0.99999098762792038 0.9942689064445247 0.99914696969337335 0.00012143167156737069 0.00051326127700847767 0.00010317943902289131 0.020415053087338181 0.0018892136506713983 0.98867913188862744 0.00078224653113221536 5.8429066328877834e-05 0.99450138778960218 0.00080637555596161693 0.00048607365060033029 0.013113654069160086 0.99998533976424131 0.0085415830791266481 0.0001379913267244803 0.99365491619570812 0.00093286465318276237 3.7736771343321835e-05 0.99994955147286091 0.98710594110970085 0.0024801308485769649 0.00020495545002307755 0.99998998328169819 0.00034027706294468863 0.98322410512623515 0.0051238737396189426 0.0032360313132159713 0.00033684074289528937 0.0029719610216351984 0.99022892554506436 0.00075149443877744332 0.011966517736659436 0.97288476557782189 0.00052229480551606886 0.00044322277873282541 0.041715596665885042 4.0557934032066031e-05 0.99614565258617704 0.99630321003802813 0.023920634207460843 0.98972013348453425 0.9995178033419132 0.0043603949349911974 0.99046515482543884 0.00024475576363305396 0.0050917737123194126 0.9999982164567347 0.99198580416896365 0.99684047434831591 0.00043050382804073645 0.00067368714197495411 0.99449340709679157 0.0030706273349918921 0.0078146026622500208 0.0011768262147991966 0.00069939139022893526 0.00053295770314928687 0.0020270080501857096 0.0001588926888041388 0.005341152258439329 0.99648261359343815 0.0023847636760279778 0.014127402689353183 0.98824204230226453 0.0020289052980782909 0.99936397894810269 0.00014507181570847395 0.00095494560862681606 0.00021655724163479627 0.0080395669324405134 0.0049267007734780091 0.016637593290173697 0.00053597991079012801 0.00037604988226340268 0.0030760810500985191 0.00049238180440664098 0.0014028346698848929 0.99954056798637381 0.99656785453017716 0.98995410033929943 0.0032734941743013013 0.99504033185277085 0.99062287544702177 0.00020315563423845015 0.0027768377693427747 0.0014010394406875867 0.00037673831048352219 0.00014648098291869112 8.9789592788936878e-05 0.99790643045256178 0.0006374663924898355 0.00036702323768237488 0.00026491242954604507 0.00050794499142314158 0.00029335479036182689 0.00058203665814129599 0.0011064277125432996 0.00019898561523273579 0.0022964239063621608 0.0031798085508675344 0.012579228133043243 0.0014630265761848957 0.00039920035433503804 0.00020478589040143701 0.99181084722165302 0.999815770787995 0.013457300276426085 9.5336635855007356e-05 0.00022908288276296486 0.0023287867356666064 0.0035171948882304618 5.3935759528915555e-05 0.99786119204338863 0.00177876127006308 0.00093082945935965794 0.027462674231249019 0.0037998064285077716 0.0093360556785493532 0.01127696772193568 0.98835648076221461 4.595983384392272e-05 0.00010045067089343514 0.99487639936735028 0.00069132768044885312 0.0029939336279814488 0.0041792194940024931 0.00053431633716765519 0.00021786541953394521 0.0057219152294526515 0.99965731527400004 0.99326870487916896 0.00045906095833320756 0.0043120042307255363 0.0010259582973677628 0.0068900620232988643 0.99006326197992489 0.010990725240684167 0.00011092859397338382 0.98134565896562698 0.0005798191707031752 0.00078960954076067293 0.021260915606180597 0.97317013700957422 0.0041980495776701892 0.0016218549998460972 0.99727957512970822 0.0035963593116381883 0.99671556600023137 7.1029572551586532e-05 0.0026734095697534465 0.00056753085308496368 0.0002632185226027688 0.00025489247245354731 0.00044836068078455397 0.0013033312681771849 0.98749372872495444 0.00025098196405148822 6.9875831954287665e-05 0.0030891601156859275 0.0056535003683223966 0.99966902353461162 0.054323884932861624 0.0037261541929758122 0.00052764044621193395 0.0014226107363885237 0.0098345155693647397 0.0026676692499108599 0.0029836421253035478 0.99700072269734474 0.99597786237765984 0.015487346256130737 0.011240660701184842 0.0016896196411128267 0.99284746925919443 0.0010363751647545815 0.00041531164598694191 0.00061286548472461904 0.00080029370666076982 0.99513944830952261 0.028581907861712001 0.97565659825191686 0.0022827567004031512 0.99999127475023752 0.99827145821855923 0.0003800799358114552 0.00017216355631977619 8.6381364986267201e-05 0.9905619639654335 0.00018284531556555185 0.0036130667128162161 0.00065542232664880535 0.985248917200925 0.99954139259521291 0.00016758833761864228 0.00013039636783343403 0.99185315551223541 0.99360666814324272 0.0002649220151164746 0.99433731484319454 0.0016893667082473471 0.99058446603795069 0.0035678409953841966 0.02251292417967575 0.99682542768966154 0.0041742581939724806 0.0048241274934312916 0.99999998578171723 0.0053145160447647518 0.99722489044085927 0.0072952203145708033 0.99420834082858234 0.0086266038955084019 0.00012206458394585343 0.98621237326302436 0.0061768708479482543 0.00039416542992248778 0.0005933333304163601 0.0014420763754587906 0.0004106697211725736 0.0033558120091468518 0.0029986047589112583 0.00018224235679754189 0.0018467848855959297 0.019414287190681459 0.00075675068581001928 0.99982524565190001 0.00027672887808444111 8.6355503225471326e-05 0.98556045851332641 0.98564939965148113 8.0884626719729532e-05 0.0023983735175509731 0.99561340261746945 0.0016474685398520023 0.00025152343966362882 0.0028619533303955572 0.99998517404757603 0.00013883582424052975 0.041095002624480619 0.0081001704657099102 0.99998884260587606 0.00019495933482335923 0.0015267992053377322 0.0043628566220324161 0.00089696439081954165 0.0017145774807816893 0.99454691247096849 0.99810422557335998 0.0019897258509040607 0.98565849253399862 0.0010545128883930959 0.0036995794810100904 0.0010586736684031076 0.98294286107130546 0.00027578693595337755 0.00070273248252535688 0.0041361544661976763 0.00017525309804235521 0.0022654392796608641 0.0017617776155441584 0.99268316550004843 0.035598969824297715 0.00070756606350576409 0.98552633246148402 0.00029381657662601985 0.0046093030270515315 0.00029185122494087222 0.99840115802451124 0.0010605397284334005 0.9987121917059627;0.0043155287947055712 0.0019584204559179278 0.001599953317777326 0.0016185181032155314 0.0024295062774427347 0.0029637272986121465 0.0014290791841786075 0.003623412152944319 0.0028239057740860113 0.51789597321643699 0.011041361904454469 0.0017298659748421646 0.0040239219195215567 0.087220774400147805 0.069117563137176347 0.0014279059843774838 0.0016484601278363613 0.00095790824853913062 0.0017156587857924538 0.0040772474051953217 0.81722790201941875 0.013396115947194047 0.0077886238363237166 0.0019740182830230942 0.0019338932046842781 0.0064872872892060632 0.0038489158648376568 0.0011656642605666389 0.0027974961080456306 0.94762945644014374 0.0013816255750746941 0.0028519793077487693 0.98223414924046892 0.0018318751550386277 0.0024909745459813443 0.25779572195699813 0.37646426508248831 0.0011831645816749025 0.0025477768722722734 0.0054968917523842038 0.0030873047758737783 0.012273503318719927 0.47257059612678598 0.80752545249102969 0.00270352550321572 0.0011739855399397496 0.91811916635284985 0.002940350616822825 0.0092170379838726786 0.24070908000790037 0.0062985842212409902 0.88179592394860906 0.0017866301938225587 0.14155842229788468 0.0011609775144214821 0.0015216884022722812 0.005295328845876638 0.0031398244725635398 0.20150836375770789 0.0039302073577687363 0.0024882663797967529 0.0021350952844067369 0.0068773413268351097 0.0086202870314999319 0.0032125282815192021 0.0024688080553069095 0.0030131813591445871 0.0082704404605188891 0.0025276902573668466 0.0013386744439008265 0.0031747172500442141 0.10685301914814924 0.0043860463495824014 0.0039555610913080616 0.0018578297334190998 0.006177602244929018 0.0033447290638308515 0.022331797709924016 0.0051401570399825956 0.25733588364222626 0.0017604601276906043 0.99215293742805155 0.0024884782053628757 0.0030640302911407098 0.0014257195111483881 0.0011378549965517799 0.99066229346371881 0.68927206172801325 0.44109526178226299 0.0023736633455739269 0.9173642553785788 0.0022216174951501127 0.0033417601505260526 0.97116991596677149 0.0019423215512239462 0.51696614804653918 0.0013725622226229354 0.0075522763749782396 0.0015021823730480186 0.32730161624170717 0.0022244135241117173 0.0014368186601379507 0.0036158488044043782 0.14107264004534734 0.0040967816464896906 0.0095434081020691446 0.0066229026322764438 0.0053829557946143197 0.0031639947900811627 0.0017660381531256998 0.0020728714505030051 0.0014557274534151648 0.0044044911484451979 0.012536441693002272 0.0030706617647901649 0.0013891559617126687 0.0065167067897514783 0.0016023801892184552 0.0034647904539558232 0.0052219287052121385 0.0025063379347683838 0.89226384616177445 0.0041571925606494848 0.42358606596955278 0.67275628486878558 0.41047493041467115 0.0054998203789208963 0.95487875654817622 0.20314383426151883 0.11723993041992981 0.00094800547391823194 0.0013403558987651895 0.0037836391010909959 0.0025213344014111284 0.11189293318341755 0.0026296307137787718 0.0019115845826338145 0.0037463646903324035 0.98492451008814541 0.0029541167908236458 0.0077313831510408383 0.621487091480033 0.26630923597943112 0.0019475486381556276 0.00081676824897802922 0.0016851717015523098 0.0024651510243120468 0.0015327760366079766 0.24473305485709135 0.022972725984241125 0.006435370185845295 0.0019418927456942283 0.9458793857974892 0.0024360476943275635 0.0047860288528225308 0.0027954794785617584 0.0039755650943016068 0.0022194805944863822 0.001952417698849898 0.44356085013805296 0.0024919675211686814 0.0032019097368876062 0.0043514798229489669 0.0030947144936383712 0.0079739038082197976 0.98776365621877149 0.0035410884796985118 0.28992208109566642 0.014102504062064179 0.98185495355679575 0.0018256870529841391 0.68729692813212584 0.57644129254377685 0.0052685793798458733 0.0018353327060251544 0.0013577560362611318 0.18539804501018098 0.36021752229316201 0.0077970301361592539 0.01906140213511745 0.0016670898015382256 0.0064920224491569799 0.0021775387273052188 0.99314469256195714 0.0018870591208661395 0.002405667092109251 0.0060461517619259421 0.0041585226761124737 0.0015084456639667021 0.0062930032118253499 0.0030600793363525789 0.99224737928934736 0.8828746538555714 0.0030113895824699084 0.0045318262596208848 0.97756983818294263 0.0023600842151078136 0.0042071692180111232 0.0041010449403478481 0.0016858054237015587 0.0019618564869001601 0.0023920672074340841 0.0018899661401234318 0.002170906376947081 0.30365775757824109 0.0099876358508796895 0.0032968808416366053 0.32639649094871243 0.89597106607451971 0.0027950630370442622 0.0041852495105837266 0.0018878580376459786 0.83358267515339768 0.68804018763688135 0.0032310652889644782 0.004583455705913877 0.0028421911656581144 0.5369020347332113 0.0032587265646697398 0.0028910138722895188 0.0034114789673655912 0.52965573798942711 0.0016267746361579537 0.0021141770037322368 0.0057251941008555855 0.0032920636282132714 0.0026716560449024547 0.0014183697153643184 0.0083756468327066194 0.0014516152338046907 0.0022419928701741636 0.0021520108037288146 0.0020987066448013075 0.0018841481408881314 0.0026260735377162973 0.82427039489359832 0.0012600647297489487 0.0024157496661541514 0.0015373061794894871 0.31836683577825003 0.0020012907453119707 0.001842755746589265 0.6642933437620433 0.55340809244326628 0.0025261188977907076 0.1893247593901296 0.020313488748834943 0.0029552338281166549 0.0041735234665917376 0.0031003489448555095 0.0017883893046597649 0.0019358482195877855 0.0024017985520900925 0.0028523584602282393 0.0049667165395337262 0.33376491785179829 0.0013156809258110804 0.0010681587456560534 0.0058502017728867782 0.66951212473798427 0.0035086554863696011 0.0016720888097868061 0.0013516463896196119 0.0023611530793561089 0.80706864069228379 0.71034272415859845 0.0018204576500287014 0.0024011686300574042 0.0017454111850605763 0.0032737501520983424 0.0025744793924296523 0.0053577313674260316 0.050272354870264768 0.004707443957540137 0.83285947014209927 0.0034655079329535213 0.0028022108794505071 0.99322475964860857 0.0016646503592061095 0.003456049718890135 0.0016258865104409469 0.0024561152305731292 0.0023448544767334361 0.0023119795082623407 0.0021579800342511734 0.0020520758146435588 0.0024245244033141277 0.0031085544301730876 0.0015403485690472882 0.004862719099158511 0.39690521022345759 0.0043977282076103838 0.0038288086831041999 0.003719394299809043 0.0011257624132527421 0.0014627087558035331 0.031710430061027549 0.0095529919611263385 0.0083195988053833062 0.0023341205351636082 0.72976349778117955 0.022494831425214565 0.32098972013218652 0.74628794922652841 0.0028931956073432932 0.003966301480401075 0.0016108472319664204 0.0013430054596042548 0.97648532947079203 0.0057332784578850455 0.0044677617409897485 0.40955911813679668 0.99742911107797827 0.96583960341918695 0.0030334215516085008 0.0010442054515050069 0.001183259024967109 0.0042164934093942841 0.0021456600132647059 0.0095873448750387336 0.0021625570092465799 0.0019799666254234349 0.41891183806951215 0.0013031660199129022 0.0027692435900786338 0.0024506857066983346 0.11130026485937394 0.0033473467695055844 0.73505997914161481 0.0026023914636838746 0.0025963654622165808 0.0039113796136570709 0.0027478264434243607 0.95699671413093135 0.0012355202656761 0.0019392341317910134 0.093414916860716235 0.0032593093517817922 0.18656424697576043 0.075478633708209869 0.0065010291863114786 0.44072630671781893 0.0012729601203031004 0.98514654816103997 0.0016532612215711584 0.00414106169688874 0.11487316298864517 0.077187199118163671 0.0024399236999732635 0.0050591994114761278 0.0016242737960769323 0.0026201856049855518 0.00378200104175971 0.00218156192573079 0.025295362527631406 0.2768381360776454 0.001564793958094847 0.0021208176554841185 0.4012032541915842 0.076005569183009117 0.003098560367567383 0.022637380008336691 0.0012017103163128174 0.0045554527822181902 0.0016171902149154224 0.1543163791628912 0.099252469541152855 0.001915608408927199 0.10666775214179675 0.0011193426857202743 0.10067484301156421 0.001673636033215626 0.0020725295281640325 0.85801669351455456 0.0016634617057147731 0.0082834553854289825 0.00099803825068138009 0.0018182155581063348 0.71206907341731385 0.010680045733719976 0.51707262758000261 0.0017677489340703922 0.0037672601279588698 0.0022446731391813357 0.0028002584996228881 0.0017751682116290113 0.9724165180199722 0.0008393829615899618 0.73329019453797917 0.0019794916087891379 0.0029071330934527509 0.0018141104209917019 0.0044058026838589377 0.085526856298067083 0.026433498239593775 0.0022445397294101601 0.0011865969537686513 0.99127630255476062 0.0041105979730592743 0.0016110738506157646;0.48212403162193496 0.0078104903300904912 0.010961188798219458 0.68253925691958806 0.10353952105925164 0.19773805335465769 0.10585205446854173 0.11217721457708936 0.10703640265763049 0.006642593131589416 0.56664594219423703 0.21950221384226209 0.20512345111366265 0.014520522111446391 0.033266538500403578 0.28439645590832896 0.20487249884011788 0.10373559900964821 0.0091382163652591972 0.30378015381887036 0.10824208554687698 0.0059744679478282905 0.10487188803074647 0.29088950078177689 0.010588886963015205 0.30372495265170918 0.4700081664661116 0.0084721318922159842 0.10118034315624949 0.0098497605372772114 0.1092844717801474 0.20441684936778484 0.010599031851659682 0.015734536067830904 0.02008628134457649 0.0088291517459514451 0.01488157626366152 0.17398121537682204 0.74827601378926289 0.0051945123736963821 0.20932726632160045 0.00666897297965258 0.38910408637901506 0.01476965941496285 0.32537776031848814 0.0067851933554612292 0.38850007484989363 0.74436132556341039 0.015607856734351099 0.19460751423677716 0.013123657167276252 0.48293024864766165 0.0066735287732174161 0.0056477176496254698 0.12099996016420926 0.57679583349209085 0.012050299510181061 0.013470167647871206 0.010951744404742782 0.010188252499466593 0.10739250974374606 0.67419240915493572 0.37618414504526193 0.18384443973765741 0.0049327404350366644 0.0060091725189929824 0.11136385855573587 0.10748621114905778 0.12524444412386057 0.12092521858920023 0.014585867227070979 0.10613631284745025 0.31946440041022711 0.016271624931798352 0.10918503374233483 0.019630022303126538 0.010240703116466533 0.0048143926345570777 0.013027267351580815 0.16222864039022275 0.67306667936725029 0.0079105972910097702 0.092292895611807244 0.20578013337766085 0.0086299654087895594 0.026175998824860144 0.10546423286240419 0.0079879398732215605 0.0097387283674816201 0.75733463692249336 0.10669057723679068 0.010153647129929749 0.11376640319824149 0.10545424311412961 0.11881301698868726 0.017408696548868882 0.20332836858969075 0.0074518765479726582 0.10726322335629056 0.018796376787162724 0.20671726572010607 0.20742723421666923 0.10758017392337257 0.0065323424641991808 0.0068972677114073734 0.021797967173910415 0.014998007329426313 0.015235295270735239 0.21308374009787354 0.85075762801426302 0.11370463672119251 0.0086001506730431221 0.10940474948664773 0.020212845458007715 0.0088496147062674564 0.20469568357571535 0.74906375836740346 0.0073608861083812906 0.010505196731513839 0.10964874060882332 0.010383418383790231 0.009138224428003076 0.011968734389861246 0.015968467293182381 0.11234557634061773 0.18784618250768942 0.38365819894490971 0.19694382257924462 0.0066891913425473001 0.10891064320887021 0.39804605682571509 0.027972707880496717 0.66468432505961395 0.0063189691103409419 0.025708905808468175 0.20746639581329479 0.0095745788624088078 0.011579516932789522 0.11760180108388894 0.40938389047382151 0.0084948184642229529 0.011913911279461186 0.0077675159398634423 0.0052948222603197669 0.18048355360006757 0.10985377821011656 0.01148042566506099 0.20065190280636017 0.012461652997097032 0.01521050595333813 0.007525511623250174 0.013095375002262113 0.068054092787407997 0.2010554701878805 0.012424710303416912 0.48961442381089104 0.10514668786139222 0.30632309254297752 0.57441184301808157 0.00574277987723445 0.012539527302993944 0.012263308155728868 0.0059249989867659536 0.31558337055785202 0.11013632135047838 0.0080017652930818185 0.80184994743141513 0.0084999927113980668 0.0083699540213797215 0.10826444093476965 0.20895367269411952 0.0072490006831916823 0.010233957694793959 0.2847108010838178 0.0095259729935408578 0.010000211017120201 0.0099050333546096686 0.58359440501972237 0.021527867746931575 0.11466894520892623 0.01864600134585884 0.38592727725948817 0.57586590634520785 0.39340494763776246 0.011401332577773286 0.0082254618639046699 0.17971514464791197 0.010064675257544176 0.0096405458768413325 0.36703061616283084 0.21362125458715064 0.10996836453702764 0.44235754931123583 0.30331469444935699 0.20062034175850099 0.005301767369937066 0.20736488931809027 0.011382015308680282 0.46760640623430583 0.48796706804626566 0.087959221036091523 0.0092158842797204991 0.67730945679329113 0.10705668043455534 0.0042395105863824696 0.29794700438779059 0.31060928498091206 0.016647858711344443 0.0049574970176275218 0.0064568388347467798 0.10640570556823847 0.0096996175269415015 0.0052787008840054807 0.4906794186466279 0.0073636117306611227 0.11218853267523943 0.20207985509256665 0.0059646557143096775 0.011528472383862913 0.016744983346839805 0.48016237721843302 0.0061437922310608462 0.45493487630790508 0.14429377514006184 0.10660771345134994 0.066467504191147331 0.20128029237731718 0.30938072156837715 0.110549396402974 0.10467437141072553 0.013045685807094008 0.30354318875916203 0.0092647565077537304 0.021992184473363548 0.38257837934101152 0.0092422172878452967 0.10484315273974748 0.94703856649092932 0.18371145863103361 0.0065653310160478633 0.4069894215816644 0.94329984585593629 0.5606352332742337 0.0093312528016289854 0.1056556978250181 0.0090051168898376451 0.21886434233653734 0.01584897763812413 0.015163869365751842 0.10071180456275355 0.8472310318424503 0.11230411664739526 0.014406295806906406 0.10418934405452711 0.28369645398159804 0.015964288029520393 0.020091199672031317 0.009330234707697279 0.20544875756643852 0.0084057142089261922 0.20688229748312884 0.13759156558457641 0.010924611722734196 0.011629548942831767 0.004078326132176768 0.0089371076869016568 0.47399391513195333 0.10459096299116936 0.66066753510927811 0.10604250928024384 0.0064495806185473625 0.022113624629024744 0.68075344554185646 0.01918018439658882 0.007862276439140236 0.0091483032776412121 0.47093932497366858 0.0088717773077800349 0.70227897904305148 0.018797667447010738 0.022490044479072241 0.19999950931232238 0.012070957408625269 0.0069704876609107194 0.012029409027969905 0.0084540648390482656 0.011241318617033445 0.24164794400252615 0.010342309356233158 0.010397270125013812 0.11133712421920453 0.012722180685419041 0.0047900059025674131 0.21043221312746641 0.11234192412107623 0.20468013142389163 0.010669011630508863 0.0099330312073709487 0.6278462780932359 0.45819944450714867 0.012537324869667948 0.023282021681236872 0.37381032605632858 0.20786772258878716 0.11103840525651854 0.23184626199528061 0.20568103815762706 0.20700750081015698 0.0068163076666934502 0.45634156067127829 0.7535058217106162 0.31172049484889103 0.00608911480829895 0.0065922611892716247 0.13837417401311169 0.1044937755431158 0.30700385153778764 0.0076366645030968129 0.011887706917791851 0.0078370730163863887 0.84813950469744359 0.65670763102907748 0.0060215843722782169 0.86690542514787117 0.20538073750779368 0.51577122987137203 0.010747778997663833 0.014804316494909793 0.0075772642207732228 0.10439942249451219 0.56727117234774505 0.21316685931461277 0.10967342255455491 0.0045790439870218146 0.11135290625350265 0.21034531715655019 0.20797347191896048 0.016801314048516633 0.0090334827487509751 0.60310312165141844 0.013464224419110294 0.007871287941434409 0.0057452134532827116 0.0058250230057532958 0.31532493298529568 0.51139035514688869 0.11695132400235073 0.0050873159024508287 0.10463792302399935 0.017364459266121651 0.20905181249410959 0.20250478324718027 0.0050099199246608685 0.30690757271922642 0.10491226613756623 0.008644627617904849 0.28175026628493688 0.28381278304582241 0.0064816232500937467 0.38623829922325931 0.004623212667496158 0.01100300673835296 0.0095034348504772631 0.0057838588602378794 0.016908066678351357 0.0067132495629629065 0.16241344089830662 0.0086388225031580387 0.1831051082884973 0.0087319729079416396 0.17627076444600381 0.39014906210465228 0.10508539115422259 0.0087553279785906758 0.0097083009094753713 0.013820333574214062 0.011200168679827078 0.21882310947142797 0.011873130229130719 0.007596083926277729 0.0070480812984832237 0.57863273073255173 0.21847842863531561 0.0066948187765739405 0.85463087595135268 0.0082285116581419133 0.011565075918276779 0.0074825332708115689 0.3887381974241797 0.59328065572647426 0.012737955162784233 0.0084042256936249088 0.011216630290302135 0.0040153731265904326 0.013835645908636996 0.18180347686744855 0.29031131419463052 0.19870265052176417 0.49449691338433449 0.014971836928730491;0.63908858468515906 0.0024543710400568076 0.010250969354968199 0.72202513667093982 0.0095873080682398418 0.014243279199094851 0.12775345013930178 0.25201849563793477 0.0054885990783039565 0.12938129473070586 0.019859217011543782 0.0079099059289501825 0.019932404066148712 0.0040596897096195602 0.92027140034019106 0.014097990357378246 0.012613801650983639 0.1288350832095938 0.0033288372207127197 0.0037409067354374544 0.25137932150592884 0.10886031787991422 0.0047624482111070692 0.98870255961094711 0.0046625516986139202 0.36858252799124736 0.0098818549348153126 0.0064622164116867886 0.015415984672467988 0.023651625730692991 0.10117941412808516 0.0087125579481869414 0.0080831515520518957 0.28161599498793333 0.012645737784440511 0.018570458582662375 0.0062698534991008827 0.0082937917008387568 0.15129045466066193 0.0045510269403242799 0.26473527010382636 0.0023239737425841435 0.73106640838068859 0.12990147954694262 0.72062161436923911 0.0047802674347891877 0.013810421233524686 0.35942460586808317 0.36847984864356886 0.25060629657948724 0.0044786440889520024 0.34812980330708249 0.12811843851132701 0.010846551455079467 0.0085629888350732698 0.02169391378329677 0.0035765619633785287 0.14575499722754723 0.25662478148746592 0.59259227956392335 0.52007029539782335 0.50436649021675373 0.74998750066208186 0.0080935460543254158 0.0055010815502622989 0.0056262624276023354 0.0068423760974308584 0.003134545420673917 0.0046409187059587784 0.3799139548140843 0.004310975456270451 0.009273768746315381 0.25554777381461674 0.0045771098639105891 0.38039181082147167 0.13385583523268096 0.0059364047689326521 0.25959330471736347 0.2834173023968134 0.019377583495234964 0.72667264443298407 0.0027053667961863927 0.6104242115277394 0.0061035760404237202 0.29286502116885255 0.83926473707902072 0.003414288214898472 0.0016095275603932946 0.0054026983956984064 0.40089327157861965 0.0030265903549710851 0.25459944276184732 0.0038164158765084852 0.11830309229302317 0.84815531938429622 0.010400783205926549 0.12537619842476597 0.010296414451007888 0.0030118145469468583 0.010212164707910462 0.13411155212042516 0.99609547306400814 0.0042567786835261724 0.0025842839025402658 0.12049289754001068 0.26978597043164543 0.022934564460543296 0.11727438207657453 0.11828453007217488 0.37945181217855872 0.12022370104051831 0.0058051572118145807 0.0059413798492209281 0.12738088394226574 0.00462873885480469 0.26375645777978224 0.0088991279700309928 0.84259389057031586 0.014484368028089804 0.63654285526213206 0.94767594743165151 0.0072025402923692663 0.13910208260394591 0.013246211238497233 0.72797336070403895 0.0085959938506137354 0.0070698908342486724 0.005457350487398936 0.0035635017258908155 0.71515483866658403 0.95117982604308771 0.49393163875527246 0.0057278365183518797 0.0033584899002390544 0.011053340435442035 0.0049396901857462127 0.00289117621697657 0.39652308411510934 0.24992498353605272 0.0096585892754914061 0.24802673617551313 0.0038986234560266244 0.12980002022623935 0.84856490041231014 0.0034117861554480455 0.24696328933882133 0.0049585345604205629 0.128956766262149 0.0084706571104038817 0.0019266641313513075 0.25568102296645701 0.12496888541062823 0.39669378488957036 0.0049822867017207794 0.12270788640057771 0.25791087437627586 0.11913277280267898 0.0028989135897593463 0.37176753619227643 0.0023974919792457573 0.24053152908826586 0.011587147391369649 0.24132255757449608 0.25574951952206088 0.0061522303558466784 0.004778759711250421 0.13857095542066533 0.007347210116455798 0.0081987470960669575 0.83162437774802667 0.28727606096203451 0.12636791718384507 0.005394705022415236 0.82677663560855075 0.0037896506038660677 0.0073835511623542996 0.12950744067590744 0.0098853309132941308 0.53873180343669091 0.25013468493983693 0.020725806071628244 0.021361015468297277 0.36320950387132633 0.60392187037401923 0.13609725478285609 0.0066306928335937041 0.37728318801007454 0.0029990735021895145 0.11842979391261223 0.72185713198293799 0.65217850527813226 0.25730399403256177 0.63206002595621757 0.12897046786345973 0.0083174212111429904 0.25281141458190132 0.4766908721131366 0.74151913283665627 0.59215335792333956 0.0071184851569445658 0.013475689137814441 0.014923427101513181 0.97351714967964187 0.0036274448128770691 0.0024934533088155205 0.63510837907798834 0.0088362453325170048 0.64794387903444284 0.0051752728504381052 0.1155291038527919 0.0073033241527477926 0.43598264205227522 0.52635523446331711 0.87202697196366818 0.43289054663122256 0.0095448536091225743 0.0056395854352100754 0.0038056277698581787 0.0086098357447588099 0.97650479476854324 0.5093467749584798 0.012128192978148357 0.79293108143788738 0.13735461658982698 0.0038722032379975603 0.0049639875569971919 0.0043522213548943395 0.23561060906956316 0.0036059893772868359 0.0064072891560382076 0.01045531569630063 0.019186075591437948 0.36513081011517939 0.5006592693982026 0.13070313408058107 0.49773296690277319 0.0047765985865782633 0.71849359095830334 0.1177214059056655 0.0045299036072039356 0.51577161162954077 0.96511274440452244 0.0062345916672882033 0.0045632670409340628 0.0071897091515576265 0.010011679929522494 0.37263929098706738 0.60924287904382513 0.0062504298835880153 0.50421757509209575 0.24625224459852907 0.0063818418403007457 0.98017921005362685 0.0039745030938567955 0.010399185350603447 0.8557530505943356 0.0071054561904791121 0.010449497537852435 0.16316504818309316 0.0067927323031700924 0.0048430664496427337 0.13771945708732422 0.12808308381530564 0.25423076453483762 0.0026368328616104388 0.0031385139460413753 0.26818207305214437 0.0031324052133744422 0.25346396863098547 0.11964907629988918 0.10584875767949672 0.12918842459046997 0.0038061103317190842 0.12276399039844049 0.0060476638922968059 0.0093086094021551102 0.0058421818152699914 0.12758401870952088 0.9788214074383812 0.009832622803988663 0.25239240491074366 0.12543371873376971 0.0025405889100003553 0.0038112186611287862 0.0062897114571329443 0.0042940966224992872 0.13103692597488287 0.13285113073518337 0.26343161021707456 0.0024095239648090376 0.023451861939632647 0.13197946894489254 0.11064046359167715 0.02103395233145236 0.25466330995353337 0.96635207787879107 0.020398411607876206 0.0025169636908842869 0.48710671168600966 0.036387232263222734 0.0063168272003857311 0.82228765569091355 0.13723482897031206 0.68049049535463313 0.0037560399464196289 0.13497162339550214 0.0049828977100126884 0.0065945150682501386 0.0056024198771656717 0.15612228473233641 0.13496920135400164 0.48361573014529113 0.0057071961804114639 0.49491329546617702 0.23131761732843834 0.003580442500127414 0.13228767015242193 0.012855295983764618 0.0047084526045443357 0.003498856937323277 0.3819134524137181 0.7287380178201659 0.0073761059418377293 0.36511235567843897 0.0057851798849489818 0.25529548851405154 0.0034833893467566155 0.0042112103724167701 0.0054252283034874789 0.39547420029740737 0.02653138308899422 0.87164322377176451 0.0025915585964337083 0.0082811656285734225 0.12204420126525621 0.023137791306313577 0.46378540864481183 0.13383083154724901 0.003813329878427901 0.61838864968153229 0.8522928537971538 0.0041127231914017143 0.11958507872903433 0.12740334205921552 0.24673280435673459 0.67785405441478963 0.0042414471140613773 0.0029276209953849499 0.0040650434088520711 0.39675358040369357 0.013015277204227344 0.47933116283353328 0.0046143627359166344 0.13533448700593564 0.0089239967317240321 0.022178530890834054 0.26219739000143649 0.12404165210066995 0.0035881345644662699 0.013003651674999755 0.13042461418953449 0.53511003665713397 0.97602293530348438 0.0081000960955354105 0.0050316208946524681 0.0046363338224308026 0.13991422703622344 0.0046667695033019759 0.012028310375798892 0.027697649982771796 0.016837225665886676 0.25583246907669666 0.0044783965481614407 0.0025561710387549553 0.0040291397787588336 0.013322633208384097 0.007370798083220215 0.11751033996912684 0.0065907006215809392 0.0053342196021828525 0.0026367573748650361 0.82984830479119676 0.012006791059669026 0.34293976811418941 0.14159122970126967 0.0034076097053413242 0.0031930367184304274 0.019056246885432025 0.14360951807902075 0.38456534792122693 0.12748376528772259 0.0038825457904441444 0.12194623364724753 0.0040795636513824597 0.0045899928417275099 0.0054988431824824517 0.0027423870386635929 0.0085695141303228986 0.94137743530038243 0.014620402568902556;0.002028118276247581 0.0046016162598256777 0.99657706548168645 0.99998321964960224 0.00068200081308824917 0.0024964360266055492 0.00038502348218697033 0.0099288316088299924 0.99015808360993085 0.0029860287282908737 0.99889084133245631 0.00057252498607289536 0.0088402002412320269 2.4778777827782929e-05 0.99116547899101903 0.0025945985812405419 0.9907359110719004 0.0037771446910706834 0.016940152062456412 5.9828066662362828e-05 0.00060096227818107596 0.00024133267391184256 1.648248885939144e-05 0.99955405337114456 0.00018260491789942745 0.999851846994676 0.0016482173711754673 0.00087813928018966325 0.0085827405279499773 0.9919194579117262 0.012316578507224396 0.0020461412457114707 0.0088452952996741722 0.99857293967957061 0.0033808984124939663 0.0073701657467476252 0.0085501013516717655 0.99480373040433445 0.001968224764669093 0.011251862686149146 7.740231084220121e-05 0.0031009413615333474 0.00088152684031402582 0.00061948740462226609 0.99755608707980203 0.0089534851364431924 6.1306636896560216e-05 0.00033080994923423044 0.0026070822852792461 0.99856213400763183 0.023192632085964979 0.99467136042380377 0.98378529449554919 0.0080401727573151793 0.99308780014274001 0.0042063678900858565 0.0048781858962323394 0.010194243185496844 0.00081069009390113923 0.015870920044179896 0.0061772617873586616 0.001022680770763532 0.035535403398080534 0.99014568971076788 4.3408765449703976e-05 0.0080879442685274274 0.0055675043981346555 0.98505385017368952 0.012890521449975425 0.9999287149264644 0.030783512200308682 0.98044611149760086 0.99212066147688516 0.0075649836652036777 0.01716667095014706 0.99225980099265154 6.273385902346198e-05 0.011779252305593794 0.00068339009231628708 0.98687525081095973 0.011959474588942214 0.018101385413188936 0.016776920710866856 0.01176915891431596 0.025620326870017748 0.99996176455422581 0.99902384682991741 0.00030903041749035486 0.0069000827136390447 0.036651779095347482 0.00013976191616078847 0.00016880737746136366 0.99979972671440498 0.0065071984832489526 0.99993316117204545 0.0057688930310326979 0.0080965877128000609 0.0010437633024575972 0.00036659387510814086 0.9778726245844368 0.00013273466653750745 0.99707276830437785 0.0072666578959255049 7.8375090005284564e-05 0.035578310562311602 0.0015715392448109283 0.0005639029417800137 0.99666796456254181 0.024210535591200458 0.99999945906409415 0.0025451619945733232 0.00037597051832852181 0.99092554069169025 0.01667387124101511 1.6818458464519302e-05 0.0014227735910865671 0.00032478630132588843 0.002338636608859631 0.026537704317184534 0.0092497859704933367 0.012377485904725344 0.00071151042934065347 0.0060818197906224352 0.019326693459256944 0.03756898803545252 0.99987803194904346 0.9890748831049988 0.99983562308304086 0.9855487981108233 0.034005684989862235 0.011363994941531652 0.0027585266707229848 0.045100682288283143 0.00030006799553987715 0.0039484367064353309 0.002041841333642538 0.0056455995146991889 0.98671321455762451 0.013327662086538173 0.99581635438143989 0.0025115347255647647 4.5123240960741115e-05 0.0050434011607150284 0.0041719443950575434 0.99636512974374691 0.99999847174948731 0.00011747903535419289 0.99999883935217149 0.99518400141551988 0.0032666052740166589 0.020476961863540331 0.014570276371328348 0.98496564391227492 0.0042178673877360327 0.0015363470672643369 0.0018596671232757097 0.98183446304645161 0.010713765804501757 0.00045715126606583342 0.00021469634845348713 0.98674237295476053 0.99162354008383657 0.00016564948983384411 0.98813421621566289 0.011905087327744153 0.00035617354815100304 0.013906407327971581 0.0047124199817943184 0.031492338451418529 0.025814524400632335 0.9942898144404686 0.0079878152005495792 0.0034526759284287966 0.025112072877352409 0.0054629362899419626 0.015284694034593897 0.98600364724116063 0.0093539115494059733 0.99167145540191637 0.0021853740297496644 0.0032171098238117013 0.00058533882680360033 0.00037720645142641187 0.012826962311775981 0.99982423532972498 0.0022483285211056707 3.2072120834977238e-05 0.038516991793425957 0.00064940893350701862 0.0037276540212334537 0.99781980616144517 0.00035714099616032452 0.0024425203349315886 3.1956233704363496e-05 0.00080695230170490097 0.00030921243032392797 0.0076039389637795694 0.0046173888396433983 0.0094567583138026705 0.99683815424933853 0.00042497819032194799 0.03537928974623597 0.0014395810113001989 0.0048690855815477123 0.0014899369731251914 0.99575782841905569 0.0012200643085945452 0.9995874787297917 0.00030965868760119282 0.99652294383016782 0.99741134146308263 0.99994834342605621 0.011526810029354108 0.996574013128536 0.0022316425969366536 4.8412344388329198e-05 2.7877849264241249e-05 9.9565149042416822e-05 0.0031456663347999374 0.99849036460762142 0.010559430292181229 0.0033555789581218094 0.99112048316581147 0.00084019568906616563 0.00014383372960669741 0.0176776112313482 0.00069323312607674455 0.99648828179824411 0.0015631968330048025 0.0077322831961804802 0.0059393908939383445 0.9954791074372229 0.00036792525329731104 0.026909840088832671 0.99997693728476855 0.0027670748998287428 0.99990359518275673 0.0072220637228619733 0.9921142521434464 0.00018185417920798445 0.0016317383607848586 0.99958115483196741 0.0011714458683786109 0.0012808305374799604 0.01176943631497725 0.0003949310255593082 0.00023122324025034736 0.0046533305214514382 0.99909174712021576 0.0020686061725933738 0.0010197179488454604 0.0023060465589494769 0.99932779328709687 0.0080420527227791482 0.012035963811071457 0.99326379583336144 0.99081580567152316 0.018089520837815981 0.0087273090093274372 0.0036987139551831797 0.99788338094134121 0.0068314402176301971 0.010983235152786663 0.00036196656295384036 0.0038534793976292888 0.012273335289944188 0.98689828722049167 0.99871916919201675 0.0012284185701496439 0.0033442339560520724 0.0026570154011144507 0.98277432724112168 0.99338632623443246 0.0041453939331231402 0.00015370907639094536 0.98202776238568412 0.00032344158734599708 0.0011719567304188619 0.99999991635718766 0.016858417800180166 0.0050376136792480925 0.004674344781270782 0.00067570050658593954 0.00040739112526206049 0.00013888259527233295 0.99560948120333526 0.019207662403055943 0.00013053153583757031 0.037819171080103964 0.00014577090713579393 0.0016631769521332392 0.025029943194464221 0.0012073101528129748 0.97803550758929381 0.002840460434175593 0.99988528751648331 0.0074435381952904413 0.00073907984600754008 0.99699371733270936 0.98423676078590916 8.0131278850289521e-05 0.99997936753699979 0.062156544195793299 0.00011095168596617173 0.99651834748328161 0.98593834502178224 0.0019752578519943676 0.0086522953061543093 0.0021407422239374733 0.026167708013093465 0.0005040515908543014 0.98989644905111263 0.0033868865941625434 0.98805459485579905 0.981817135445894 0.99465338439914086 0.9998978953788108 0.00083252735130379791 0.00028089492011787237 0.00029088696298405076 0.0023577721277984972 0.99552674381157913 0.00035399265747562204 0.0020770629804560694 0.0062600376469847136 0.99980707266148128 0.99547282422163763 0.0027269906969898073 0.00045354106175297097 0.0025748197400100258 0.99885308530321548 0.0016434020123513038 0.00220732255778923 0.00049481490482655667 0.017360672326712512 0.010435040767788241 0.0168765745126064 0.022653984731970219 0.00011525680539378162 0.0042704691813960543 0.99687306358235039 0.0015847612162032988 0.011671788443299113 0.012688536429741453 0.0035621448009269174 0.99957261148621901 0.001307463637193626 0.0018508676180600872 0.0017327024452486698 7.0810525712225334e-05 0.00010449781997174885 0.99976615753562836 0.013337832720999723 0.0039922057559793403 0.0005695803583229196 0.9846633400387439 0.97814348520290118 0.017535425905510771 0.00024550375493430241 3.1964702920931789e-05 0.0010541552740981918 0.016143920680945438 0.99986709908049343 0.0018253151407373713 0.99988376117984767 7.9243233545181661e-05 0.99239973545723748 0.00063730823678809722 0.00061472756560420607 0.021660572104147027 0.97926298079870966 0.043166016025796644 0.0014647665285726199 0.055484958394299962 0.99972637808809239 0.0028650346403252497 0.00011489801345119122 0.0074957976301108413 0.0033895979028363901 0.00039632443901371821 0.0044212537066737716 0.00083992337461928353 0.0026719422551080879 0.99757138025893644 0.00016051560222432265 0.010107702430979396 0.0015536377918556039 0.0018908341114165581 0.99582569339895544 0.98025614003030859 0.0027815760636464479 0.0040630524053643455 0.0006899723252549526 0.0019104347139127229 0.00050207384100657473 0.0081271048994645805 0.99998453288797773 0.006646799542940107 0.014526203873536005 0.99538598218590135;0.15324499386851015 0.0033786579446970434 0.20664703742909063 0.54422206990216992 0.12979446834008002 0.21439618124983595 0.010924837956480117 0.015562276812770511 0.0053677146239391321 0.0078591059541587814 0.3993019979392225 0.5778366585897069 0.016187821789571101 0.0086276516934202623 0.141004129386058 0.69319304424465256 0.011926994847421584 0.34744634803459928 0.0073258871628666539 0.012849406919988114 0.077259179702327402 0.021389537911751001 0.0046761989227838505 0.67177499356228754 0.0096865784761076164 0.01320708323505437 0.34349546183374724 0.0049277282385335741 0.097318954542883335 0.51539385234113699 0.080413388237346159 0.077032616898788236 0.01206153027047056 0.95551775720116905 0.59135514304526926 0.0070353324058062081 0.015048271938719817 0.089920578168695683 0.020741551971147302 0.0045078634603839098 0.28645760774764639 0.76167874142358682 0.14994253344893915 0.08924792270282958 0.22452353312401657 0.015018015242582249 0.0088763496658830401 0.018034029118679806 0.010560557299728398 0.35391492786803724 0.0071204637722684606 0.01601250513142724 0.077402806833380702 0.0094690760507200027 0.14371614844268074 0.21616354980994926 0.010014231345203572 0.06954253644499124 0.79020711971004098 0.083668336728618745 0.86929786971927692 0.007213175460359024 0.22038962589471653 0.01079691736805294 0.0031246719981232337 0.34521530928392219 0.015397369471594344 0.076964523572346816 0.09239959957304382 0.53584400728176251 0.021953396823309802 0.15415967445099366 0.0066174092760453501 0.080392351977281576 0.14738137481623109 0.20552557629717316 0.0056562052657944169 0.22232719479294885 0.15293396657137975 0.41257257881279774 0.010785802209948708 0.004614128517959332 0.21459563701909998 0.013325704640550537 0.28896254149797973 0.0088774090566458817 0.079577683557827947 0.0034659396707673608 0.0062764321135886742 0.13398139619049892 0.0069661646353942645 0.0088093054918652134 0.29443395146198775 0.0086013652641633385 0.12999628413796632 0.0057018720405147896 0.14362191633147167 0.26859962984911795 0.073642293977214654 0.073048994464125591 0.47335794870285075 0.57806889191611111 0.0041743900875537412 0.0070923006521978966 0.0041940688389579834 0.20548843994218668 0.018603584680372792 0.08269388690901941 0.085585125489105865 0.46039438824001427 0.28283256618462971 0.26938279616005234 0.0068678661891741193 0.075584848961666729 0.0044984992826847953 0.27261355029438783 0.23615927815467619 0.30086642619061998 0.077206723461146043 0.012734221855175244 0.21890989876040809 0.074596097859786117 0.26367788152176164 0.07949240607993821 0.35116623539801928 0.0045394602208007149 0.0071967708772611829 0.012747461409095152 0.006302536488902612 0.084101495352005035 0.15290247725326553 0.25723205211738304 0.079516129402333907 0.067860788120487292 0.28586879101573243 0.14504416755674257 0.083718547675751931 0.081123697258630695 0.0079602438533759208 0.21205479356975879 0.080175047435932262 0.0061309746001353355 0.43205070849700633 0.079928135412265233 0.0029008144976247503 0.35983940541084758 0.07911652654223815 0.0065942724808085891 0.44296619588755137 0.005385897702134471 0.28838742578552257 0.0048500209266864906 0.71349897228665982 0.0052571125274301659 0.34862843471508947 0.085779994552137986 0.15420077510237462 0.010778829179756451 0.54917107939498666 0.0086252672201821302 0.23075927887142464 0.42393751067071106 0.50160934366078591 0.020432004379078474 0.077531310298694089 0.0064277753178270921 0.0090785713872447993 0.078712045602079186 0.2153083282504441 0.084411630562300638 0.21752264804534668 0.35372929806177228 0.084765758890833889 0.83137277350813688 0.0044611869205910763 0.39472859347895844 0.089046072931348849 0.080148419004751337 0.16542501218253314 0.0051607600962932133 0.007435036754608472 0.228499786674696 0.083881405457351427 0.018709789883043951 0.15269998788664174 0.53955941136672336 0.21717609493486578 0.012117884524096701 0.081404274918725386 0.030993015662682609 0.51631528097526247 0.20963104705357583 0.16578086618187357 0.426799403249292 0.14445263306371756 0.13704012125040524 0.013989311585350665 0.39043780821594765 0.086212861401191762 0.078927080276693928 0.21511571704633442 0.15990083545148637 0.13473275823058609 0.010091126892484311 0.0028026699988512971 0.011076439203129783 0.30480407305891555 0.82773472393560521 0.1404196080140932 0.83769671486480257 0.017236350906547179 0.48321832765891148 0.075824798239709529 0.21576960862233963 0.68376978516997866 0.084211301473497299 0.13882238122295618 0.004448513550525798 0.0068243196572029749 0.80539094065536543 0.081600489226628131 0.0046593767445002937 0.34380865499500729 0.016596295416228604 0.0073742341677391944 0.14688335110108536 0.0059426258361867145 0.28159435907742397 0.008198434429549116 0.15957875195068039 0.013285455844154637 0.074554953069305499 0.081881747312553252 0.010577164593425404 0.15381995784521596 0.28931300537999116 0.083718709642999364 0.090463689053182125 0.01109877409585475 0.0051763966574472119 0.14616723004709967 0.0085077011591685146 0.0094840394834322574 0.082290990795822069 0.084200131248289511 0.15148834664934141 0.0097195119000801893 0.21432304222894752 0.29290713797504836 0.4351706467786558 0.015334626027169319 0.15617011176875445 0.35248714144799931 0.0039589557760994157 0.0093967157979099845 0.54005573518120376 0.010044545738720358 0.013122883456567515 0.086117553224126578 0.15553813490105872 0.41979103618167168 0.14671744465715039 0.28554232641833333 0.09625776296432495 0.0751072209095794 0.15701810573784014 0.34719599352338049 0.076600381583142779 0.14640488635067625 0.20853475328550211 0.015335673858330387 0.42353390722641576 0.0095371563288307957 0.29559105493431626 0.0037636711116966677 0.13539503267564412 0.074987252138407248 0.0099826058337746833 0.083015096637183816 0.015685280908370756 0.079769548458447678 0.078004299908555258 0.0079974680772946106 0.0043789329966403296 0.0058496529427719641 0.011093409346208179 0.01022894617283665 0.15443288889185039 0.010272964790003218 0.012854287047371096 0.02354636871332565 0.1478418079622616 0.0062058587756404198 0.079147971615152607 0.14435781435766298 0.34535270486090852 0.0079420730290913361 0.0052432509921086804 0.39615324871641311 0.34312917305804141 0.0070018256307774812 0.01447597649781221 0.008997088296690544 0.011583059901389371 0.078556473368553981 0.0084997886857085276 0.081139910783098845 0.020834913336544997 0.0098103880457342651 0.0079518593000765594 0.087159954708805373 0.0095137679539543194 0.069345611765425794 0.070822642250631326 0.15375588738025134 0.0075588713956980837 0.067236513379867135 0.0065857049879318461 0.0056899594242519648 0.082163135498011311 0.21452268882345688 0.74470005757058033 0.16222527198525352 0.21746924342654705 0.0046024476911916924 0.28394187479258881 0.15500366625424702 0.077342169219454596 0.35373738299194385 0.29598102162719175 0.21681831002785318 0.22417857003030539 0.078955202149106188 0.54601618432054355 0.15169058404246111 0.28491826967769412 0.72014111885067444 0.014554059917716369 0.073544010119596021 0.063628544849772151 0.086047966612212826 0.078496721230748467 0.13095930076389142 0.0063619639621686763 0.28524111643400885 0.15466088487390725 0.26804833329028277 0.0042021273530649297 0.0724912915871158 0.44135861006387067 0.29331426736939714 0.21548181742797154 0.21292882782260861 0.15018720461905674 0.069779570711265018 0.67666349223975197 0.072087749827347544 0.086875459808933742 0.064857975411902538 0.47912616709611289 0.078443688650544088 0.080828035920223543 0.94561096115843046 0.2134959251942648 0.31061123895645437 0.1454336950897375 0.21868071511608334 0.14196468436490969 0.75350617188246627 0.15524266170535631 0.52583864422454629 0.012037412646417545 0.0056599009054375199 0.0039390660915592599 0.0083458799753048599 0.070842580623739548 0.28070828063094766 0.42806105487492363 0.0039162056576834258 0.0045828235754830412 0.0044221809618388477 0.46450592753771935 0.43153450522080355 0.017381514007551162 0.28190367773557518 0.26699391894502339 0.0047033431948874469 0.14411342807314925 0.0039424194326385317 0.28126033681162971 0.23716597623526656 0.080804284133065563 0.0096195408382691895 0.0068491103526434303 0.01108058014005401 0.067322780746437924 0.083100866352360178 0.30149348128568682 0.15261783581291752 0.88502089156235797;0.11642992862980475 0.0084693195990469677 0.058536279127920476 0.1020001107615653 0.18902799560241959 0.20076907692130574 0.065799184962946913 0.10368621110494657 0.0072408769675745771 0.16095326720068392 0.12832328212162403 0.10689198199832331 0.32501577767393558 0.010971372198730456 0.054623752619341805 0.063804438009862241 0.11389769519546003 0.092610726861311249 0.010606601918487666 0.064661378610726392 0.0056129915926695631 0.012961322643298826 0.0059904742889269457 0.058122233235235472 0.23781834738205809 0.012967046844797176 0.017186286206203567 0.071159610645339544 0.57757442469244469 0.19754640278932972 0.42649738560096928 0.0085116786050465684 0.0082839609914305001 0.27400220004696957 0.37726220558138862 0.02118334659385189 0.0066979108195706566 0.063315596363491017 0.10495325278947407 0.0056580016628207629 0.090966663717471807 0.18240709950069345 0.11003666296519589 0.066916754356888111 0.053968037116072495 0.006984711734620291 0.01110858846845883 0.014101926450896985 0.1556701440293265 0.48655839970104869 0.0096947751071845018 0.06823237150804877 0.10649816528201177 0.42237409152183408 0.056992197468978704 0.37925937482914707 0.14846121527976444 0.16686292955943666 0.24909739329836467 0.012101988635824477 0.40344678529971251 0.10690064123508947 0.22857424424706635 0.05766067444716455 0.0068652454004435705 0.027780582330128832 0.57053573013705783 0.0071034839675998482 0.082023930744511725 0.015338563617415984 0.009046630023459918 0.22172138008644479 0.10639659328306679 0.067134872863511469 0.054562834497932089 0.09441787615510093 0.093829894653093271 0.099789110714148421 0.35061216770403636 0.27565228150522331 0.01185075481066681 0.006346556726362672 0.12435211230430195 0.053985354159934378 0.10563153001405014 0.0058715920180816396 0.0064660405671028206 0.05108461892024467 0.051634596787651622 0.015057157818522519 0.23828471497694326 0.15340900895025605 0.013490230557942757 0.007852025207358726 0.065785086413779101 0.026031471348724276 0.0091554604833556721 0.17956584470806286 0.053740361372484606 0.0075147358009947825 0.20033102934078739 0.1986993311992718 0.0070389367336211378 0.068631162312726118 0.0086814057845041974 0.073635913575739217 0.060761945262190011 0.052657876454938725 0.014240042512237894 0.26015932265414848 0.057972095393313321 0.11394448982672042 0.0056334755325577355 0.0089573102239534057 0.055856517430488598 0.057293023092750771 0.060065295834096241 0.44820993605143794 0.0097987748471276646 0.057921825240027501 0.016890706111131564 0.0047033358795167783 0.065459476923937665 0.012044138853901412 0.0095841786535315159 0.053538812762356634 0.009143099458539531 0.16791942663987777 0.053133620755980999 0.091112464949823599 0.10483820941946417 0.14314503684979177 0.020494500440659071 0.012993903736979881 0.14044070582070944 0.016973055074676894 0.11091288319621828 0.56812604156331958 0.0077741560328622051 0.10516384814483198 0.54680065074168893 0.0089925090903921964 0.023161617558103399 0.46119828887686282 0.006273700221874819 0.058491502128333574 0.062339682565550524 0.0069881239243557054 0.44193027825928471 0.048893490388188729 0.10809981147929758 0.1172702406815964 0.19452401507322628 0.006545799075308118 0.077429105712897725 0.0064675944891221951 0.33221006903927575 0.014603393858590406 0.33301880648476934 0.088766328946619066 0.095264402670535098 0.93572675113881643 0.56517900178197489 0.46543274673519025 0.057341687383129468 0.1238536426450995 0.15775529308290431 0.15705859515027146 0.10586626653334615 0.0079844178075652895 0.014125146240161833 0.10670151606651548 0.15358362699870581 0.16096042656459716 0.054337348172994911 0.34222510507229031 0.055479476447937853 0.057769011329220105 0.24376651772916932 0.053191603544375451 0.063480308462097554 0.46000646071883744 0.27703732221273464 0.15206377125286949 0.020599982778294803 0.18650822669847439 0.23829644016998758 0.0082095963005183806 0.071140268041433738 0.20102005997760602 0.12025471363665738 0.010133474059397237 0.58297795562676968 0.056698062256436345 0.067285090051660168 0.060137721684517892 0.38941845702085232 0.1763048871553104 0.047621540711551939 0.10738329876396263 0.42314539097043696 0.82054430808741352 0.2107961816907867 0.00833256942518012 0.0092717301517802105 0.33694133376422775 0.18718874617555781 0.14525974576660916 0.37315131641428934 0.5352044370420288 0.015457783592924212 0.25837407461508238 0.059622136156205874 0.30105874234023261 0.74988014406151571 0.0080916585126460557 0.0087999830448534759 0.070881848306848808 0.012336402881452107 0.086247072299533253 0.10580295659530083 0.0087925014560495361 0.11988636393842837 0.44652510337658102 0.011020725762711986 0.0093900636447704737 0.0054454178055233305 0.16274551519329988 0.015086727933611687 0.12051026340056611 0.060305280712431159 0.074988208693655689 0.26149461059039375 0.0091617776690647267 0.016535172625809679 0.060886573357440119 0.010175276433106895 0.27396313435427588 0.018517919798737258 0.0074876055347178616 0.19082456596519046 0.26007680799599336 0.26254216500907063 0.0099213192279156009 0.15991887132772234 0.10550375894236751 0.059916181393294354 0.26711452961954157 0.053769613951010896 0.17579621505677004 0.12434071489421827 0.007142626996068299 0.23114421744238001 0.014855176484573124 0.1029410419185795 0.16427462738296802 0.010566336267168148 0.17418708705842104 0.061573378779944413 0.42309598273244858 0.061018465916596112 0.10897378328049102 0.37827503265005258 0.074562687657413779 0.055617347833863934 0.30207931471620192 0.64423877245311734 0.0067270819741751305 0.046418075285685846 0.0062069710480300343 0.010357409485002781 0.2437709963862516 0.048171654467659364 0.11425709369632643 0.0094219611244277593 0.1352079180499948 0.11424919839590363 0.006840815919560303 0.057783178372872071 0.35652031283958757 0.20754669493199446 0.010642692877727001 0.28647378391275535 0.0085025139505599933 0.011317129699331361 0.0064134669988787927 0.094518614690745406 0.68328002085000217 0.011897850906344487 0.016928984635744659 0.75957669665667149 0.012066628157566237 0.0092988532972556742 0.007992324094823965 0.023120231234923194 0.017822599483418924 0.063300992963298414 0.012556314189644072 0.52866446180435467 0.14953935551459385 0.056856806713199669 0.01078676339031567 0.010696500987107593 0.19268856741048501 0.011538948527651973 0.0066275011155117235 0.067481929204417687 0.086332184156851496 0.012075585619288651 0.0093488978031179316 0.17536422077232619 0.097406452884891706 0.014294584791294189 0.2040835023945749 0.055545223280339805 0.0083707790655470384 0.049319586215010522 0.0098228879249767226 0.0092702708573616076 0.11176311026238928 0.053783073000725705 0.067318385650321236 0.46068882504366676 0.1076735922973904 0.0068151086073648288 0.059482577908260045 0.060186372735844103 0.057457759195988022 0.0062722996303219078 0.31642120718219435 0.075781558923711398 0.2700915693566952 0.14457524865856258 0.44562382303040532 0.008173614185388485 0.012698168304424251 0.013008949886196776 0.011737741830983472 0.057678851404344429 0.0094637029130552885 0.015843282627858536 0.055695227426712825 0.81417827041872282 0.0085534393321940565 0.12577485520294596 0.11647683003899936 0.24406579264300898 0.009863405051967828 0.0063072544554409063 0.060823573492605976 0.33827722482204331 0.15954264955305425 0.015718796079380426 0.061342017120346627 0.0042501140574338686 0.33976492645206435 0.14465980998274711 0.014451654535392029 0.062437903460681156 0.12412897018753463 0.32197921143141284 0.010444867849270194 0.18841329245558955 0.45377737309474059 0.20405682134873951 0.18358458818238158 0.43910464904683744 0.15794030059171732 0.24333405422501858 0.10929399735482208 0.023374476610121517 0.074692987149514792 0.0076880291555585416 0.0064551565004803586 0.0096805429951671816 0.24647204000353112 0.057029438412323524 0.017176333536654275 0.0067030763443823096 0.0042467911093398451 0.010654346024565647 0.15208377618488564 0.30609066556266568 0.0070572027780767613 0.020870726741329296 0.16759116523207931 0.0066579792147899303 0.14487426367919046 0.058068909043043723 0.094149678843005916 0.15252459430338233 0.0098323065534765292 0.018634608708360888 0.01265122490823028 0.061845094606414179 0.0067439464257456113 0.011782516274163535 0.0041949966746999603 0.35467770276175115 0.33999051009348397;0.011546967860025778 0.0041362262826812662 0.1977667336696575 0.0063882820708901769 0.30199051299763374 0.1253061281761263 0.0043669430685725399 0.41760977377706532 0.0071628267223786653 0.0094103071043218807 0.40716853896141547 0.0046862483833521743 0.51001101058093679 0.28985581823816142 0.10413807255694492 0.21177380247177519 0.28668725321204397 0.21099841659851348 0.010421496290124128 0.0091069946623039012 0.31199065403821996 0.97016556643628693 0.10636724770341693 0.0041756002372455858 0.0074283429545219833 0.19487226724915871 0.003970520343764398 0.0085999458528470268 0.014849159145827448 0.10566093846074194 0.0045746337876220386 0.0049843680398883074 0.09941269146884367 0.097487900675410605 0.0032008099997759016 0.50402552856738581 0.11345600741635209 0.76591392707129069 0.10762548360174291 0.10663810762517777 0.50211988038685196 0.0063555483618758313 0.0026221718731788677 0.00697634208721942 0.19357969991432208 0.0058726539706666289 0.0051544124883327151 0.0070282916477734225 0.37756201077343171 0.0075705771239410451 0.2878604219171616 0.0044310449047726486 0.10903524916493715 0.0044031657117834912 0.68893233987920222 0.009527333564399559 0.3912607874998687 0.19927903648814141 0.0094932065578540066 0.60242256189682375 0.096594682351750158 0.21598316693656278 0.2902490523680834 0.10179475359532526 0.0056758317367576108 0.10578683646255353 0.007387525447951215 0.0033629949995437978 0.10882141136513473 0.0088616620147117416 0.0078026551444956285 0.098882090933187144 0.10578417407165222 0.0074389304117686069 0.10639706847861433 0.10509631046874397 0.19539161507390385 0.0037754521926615051 0.10637093306432016 0.19039155149459772 0.20577624135599781 0.0029157017254672745 0.0060000046138605273 0.20438033233355102 0.41737637666115507 0.10496892680852406 0.1065728172156211 0.10776154917727258 0.20996180023288474 0.10848474699452451 0.0043512672304698921 0.68872446624902972 0.10744373024239498 0.10629792923578418 0.0092970000192376286 0.10896573798812398 0.098979838781660431 0.0068245854295991022 0.57073790977098326 0.0032873586088878661 0.0072502665770358713 0.10176325704699385 0.0066308448329111067 0.11540416699128506 0.38632362673727105 0.8922078216994096 0.40616337654220497 0.10497656911684236 0.20628294537146807 0.0048489757797621508 0.11845444596501829 0.38240427883165201 0.29920101735930643 0.0028446338268273081 0.0070471560198052856 0.38692038725256078 0.21497271454787448 0.016373204603418748 0.20530965149503225 0.0053521379994022848 0.20810372217250317 0.10791762710792953 0.0058063542700337693 0.0060383325965107813 0.0032491380218164071 0.30694307544110755 0.0086428648045739735 0.47146300678842795 0.1113515606201284 0.20397003616405723 0.0026141285877176569 0.98099408551995415 0.0048263696084825487 0.29440263329217831 0.59386532239249334 0.0098028302215383573 0.30553632226971095 0.0079938027511855178 0.089899956078768481 0.011113372743299403 0.0073232257657616547 0.0057948682831899367 0.27934659620742286 0.10295408887532073 0.0033773910675380867 0.0054965151388566228 0.21435570666657144 0.10655212021276836 0.60703126191374257 0.0089083994367359955 0.8920008444244738 0.19625483566175478 0.089402235787522918 0.69066931076160354 0.5804267146200911 0.20653771259497958 0.76412894001174891 0.0091354410122388516 0.11077442785510128 0.70009511576284722 0.0035581927975833218 0.011474277229323485 0.19842388581619014 0.29291038833128047 0.1027926356557555 0.59732868349778645 0.40508423559912188 0.0055975308952399567 0.01709526507305037 0.005056351852502701 0.6895054587293401 0.95291081889817797 0.09531148011965726 0.0048045391793097286 0.61064221974669586 0.10410559242972015 0.74844356222127839 0.016832802484018548 0.0073578225670645186 0.10974262053052072 0.011040531912919885 0.38788769487857017 0.49439327983979509 0.1042327551679352 0.11358721302684339 0.19629032994160966 0.0088494886935700547 0.0039155103905103112 0.88318698221252934 0.098674671772905814 0.10040391795249361 0.0097752061255598349 0.31015655959686061 0.012196243551269796 0.31337917196022913 0.41353652328825469 0.65511326576763096 0.011259736940818488 0.0046264644905513082 0.0049831430662876167 0.29550359818161609 0.019160814149587532 0.86802885248015293 0.10161317683248948 0.0019455041048912808 0.097565221501253199 0.19340788526687724 0.0068482346718814141 0.69222448568652739 0.10169095771461927 0.19984119278235166 0.20963222124735664 0.10707055473344906 0.0030593340872639525 0.023227896068344897 0.10766739663267964 0.20380215481069219 0.0069727656182484547 0.0070235183417897348 0.013930204493546282 0.31777148166629271 0.0045768786367094824 0.21556245835620877 0.28064765590193347 0.38518217921718073 0.0061549572146388674 0.39979190622370109 0.0077892283629476394 0.11176413939276128 0.49908351463950384 0.30268530921526399 0.011161432214878456 0.21158364100296898 0.28376613075579094 0.0034071790460517308 0.20642297098106183 0.10152387558163967 0.015142648035843587 0.10888818039502256 0.2022395462575543 0.79270539329462109 0.0065983236890085981 0.11687010425613842 0.006054568808024679 0.28509481504693474 0.20413253573464896 0.40913351506345152 0.98611734110281934 0.11213826157788254 0.0054967033784861195 0.0087655431928594495 0.1023694652045566 0.47797360105665859 0.85738810200635973 0.10074178048984569 0.0041987770761583989 0.0059063158404345272 0.0059000806497435119 0.0039920487811042453 0.10509633044555892 0.11779141987706065 0.0075497984031834692 0.0054999692022698055 0.40005007998050873 0.0033255706515898098 0.19984356203573928 0.48772396511732263 0.0043124957852418095 0.76734988083998701 0.10375180740523514 0.39020591082137801 0.20190100804986416 0.10570813475586342 0.2091891124463138 0.10497040654288721 0.58981032246991294 0.0058009612311537232 0.0097821865591667303 0.0044803373006973837 0.26834226818353502 0.43329258362679446 0.20848555334624153 0.76809287257204939 0.0044934391579686001 0.093943201548768646 0.10557584794616556 0.18991506540996705 0.10448454642880092 0.011250170887909699 0.0087302168416616699 0.29837419024760214 0.032581197386580732 0.0036985480191520318 0.10160278078188278 0.46365459076984061 0.0048850217755265057 0.20498996658555796 0.66612276573833074 0.01027821605048854 0.0074862223521317064 0.0070201088351205046 0.1124735104062209 0.30239932694438354 0.39467118349600239 0.30133976687211428 0.0094027712600087236 0.30768802076480506 0.20225621221788287 0.014766207835272657 0.0093130869048682133 0.88263325151719318 0.10312107446639308 0.011704136020814861 0.10681145714736297 0.0057647971320310097 0.20628560409321819 0.10834385933883151 0.41211614692614873 0.10941568614310901 0.49709860882976853 0.10512014197249189 0.0072247329382799721 0.2956685651252261 0.0048934109808524235 0.2984117152919365 0.10538919180357242 0.42322978657546984 0.11026170521711531 0.0047256743007345475 0.96560675917013072 0.0040272977647250394 0.085485670269013672 0.21537473167412186 0.11547505624995047 0.0053671267762330464 0.098804118229545268 0.21324144179530619 0.1108002143303518 0.58814842737845585 0.0050410544633682228 0.11406889176369135 0.0082874399517611115 0.19810690018753974 0.093524531362736751 0.0040454446565248384 0.007459312165786422 0.095254014128638057 0.10682209424034582 0.0052016531720507457 0.10927110179063454 0.48939373462429125 0.0043700280534981146 0.0067289956183283943 0.08935335297990081 0.0027123611350996909 0.3888052439237244 0.11255565432601973 0.0052668284558983341 0.0058351897043887723 0.0019855193565778044 0.0055631033230936766 0.11299806130100815 0.39571150253229415 0.011626667760557263 0.0072965821972983316 0.14685559677459584 0.98016818890634394 0.10584527751572964 0.87109333473558437 0.0024723242873015178 0.096497623732980778 0.0065783684222679994 0.0056866050565140686 0.10693589868425921 0.0090390661543370311 0.30175690621393031 0.87420595045710847 0.0046423783364396686 0.003478087645468547 0.010997385334379543 0.0078933340747771204 0.01562213411704556 0.11348474617297202 0.20923441900907536 0.0088476986946653229 0.39578264641251304 0.007967879419337718 0.50221291948724911 0.10691990552745044 0.006981240940104696 0.67776067865951017 0.0048452167543074232 0.20216935089737298 0.48398940762601805 0.2835660087835582 0.0054037369122870282 0.0058023068074804091 0.0024958494065667877 0.0091248777274134767 0.6729809756695746;0.001354485202936998 0.00378813002552392 0.0080365675076159299 0.0040217050762203378 0.019910042732310534 0.006635663422251816 0.0034727575196563344 0.059650504645591351 0.0037186392699883391 0.029791634477296432 0.025447894974724161 0.0043210225253496395 0.98555696856939179 0.010468684485359992 0.01718204891011238 0.009865213175452801 0.0048604374787337484 0.0067069663779775164 0.011089475872374308 0.00092182161349787563 0.030618762777915243 0.95962078116452032 0.021171835198125457 0.0095644411048481214 0.0021491686795814232 0.0034432178423966031 0.0093453530666075153 0.0029474632853395389 0.009433858460266023 0.015981602178999642 0.0077431661345117491 0.93672813817997813 0.013850534749248305 0.0026967981631876394 0.00022860707243725157 0.95026884201627204 0.040422036237788714 0.0028159626693881976 0.0040004236234173199 0.0095758996818450046 0.93771081825578095 0.0056523248947239904 0.0037282730223574287 0.0025419935761138257 0.019848818845684089 0.0024958763446089891 0.0026163835490659658 0.94175191717447004 0.0052934428916234936 0.9659365141868258 0.0025601393176944479 0.0019945252047232011 0.0012619912575289576 0.0014523727186287994 0.0082667317666922559 0.0037370672180054589 0.024670825933789671 0.0033678731337224844 0.96661736850099367 0.98324600320645994 0.027550774369574805 0.96114456580158703 0.94813523982177761 0.010267905741460763 0.053898969618698896 0.0030794573505637706 0.04015217862311294 0.002692806940923827 0.00066594440594532804 0.010848158962484901 0.020222872995563058 0.00067176553011066246 0.0048184830709869586 0.97016546668341153 0.013020437824295641 0.019976702981661532 0.035297347788462219 0.0025157196118195117 0.012176221525092543 0.026174666259264505 0.0071989772496063083 0.0049228469501401018 0.0055955907164163083 0.98924664371313709 0.038342278434678662 0.0053961691669079477 0.0018772944957066047 0.03400636868580325 0.004417589468512173 0.0016726542623322583 0.021404278807087791 0.90065517702638809 0.0059477141407186639 0.005405041318991939 0.0093175165659604604 0.004158971442014419 0.0098982082716967054 0.95087966792141321 0.0036394635297403539 0.00131371892893974 0.0065041865185695991 0.026070678548858951 0.0040198135191682072 0.0090467854116209664 0.017005913556320865 0.0077547552876439958 0.98901039143536296 0.0026392303946452347 0.0080227408418095756 0.00099182077735771425 0.0049721838574302976 0.010810617702916029 0.96119510475644188 0.0039327900681660364 0.92299061597987964 0.96278902757941576 0.0068737044951065274 0.98659239023093526 0.013119538337353744 0.0079485104714433746 0.024984183715870984 0.0092687402285942105 0.013379205033955587 0.0049219271235222154 0.0010236739028088972 0.94106335007693698 0.0011523057556500822 0.00085672953281971638 0.96243488500615282 0.02768098038308827 0.86239998100094861 0.95989845463294121 0.0016668779183104103 0.0066255909644378158 0.98587339674069185 0.96603004760233702 0.0025357579577017144 0.9637276924249627 0.049813528536074771 0.0027924813314655658 0.95925724742276175 0.0011404337842662231 0.0050991751192968693 0.0051562780211329385 0.00073819901844752068 0.0061183602807056642 0.024938725027020204 0.0012175076963627462 0.0074054927532977207 0.02458112662186809 0.98902915214380782 0.017972909890690468 0.0061458782951099413 0.060688210690361177 0.042760282985173231 0.032254691166367928 0.029707394209951183 0.0030314824654835079 0.97145002489667631 0.9693888506202113 0.00064961602725461447 0.040805697419005464 0.97518741188079661 0.0063376366591583857 0.0056230598733564745 0.97666536609510923 0.0025712504197017332 0.0056068616809303966 0.0018073103469409713 0.0035669751016488426 0.95758765501552801 0.042362506491409865 0.0045032560212833455 0.0084110401525855378 0.020194806268250345 0.0043315518344686646 0.95340317388484441 0.015824763123154714 0.0039146484527390951 0.953737872641788 0.97773801288021123 0.0046793885693083249 0.99382996482854669 0.0027873907813915073 0.0037789657571220734 0.0050667610901313481 0.95718909878641623 0.00093324385877235178 0.037979388397539157 0.018421302296067765 0.0042355705697171746 0.032003713804338745 0.98242348620766229 0.004903213148224562 0.98111070428671154 0.97372377694222556 0.015332812179870418 0.044998018750062499 0.0087924354384221557 0.0051244212601615369 0.0043097329862452158 0.96245858647153582 0.98736689274895817 0.0069274333770987283 0.0034415436138138778 0.89180488740122998 0.0068944855770102431 0.0075380292164706347 0.010366338696889228 0.01370476123501203 0.0035733674335643702 0.0063572621849836523 0.97784208075000834 0.95289699180083709 0.013114735225553472 0.0018036612377807229 0.011515135300711627 0.012474968266645287 0.0077854659378893912 0.92424687980142695 0.0056919098787726156 0.024706286573899519 0.97132295107637934 0.023784876023911349 0.019730201574325226 0.0081837199168288133 0.99131694771492684 0.020658054343033798 0.98065702511490593 0.95793218063236163 0.028216662468113614 0.95335642474622961 0.013875042081462993 0.021269884993933067 0.00082138358001187931 0.98068039018438169 0.0054647684011372788 0.0039511366913100769 0.0017428558679607967 0.0042610958690396401 0.075855100350559646 0.0072030840830523586 0.0062485922709669831 0.011056879683479777 0.0020663313653383514 0.0020745029973347879 0.96868702640256799 0.9875747408567952 0.0095138683785463678 0.0047069773004300274 0.0020439324568390922 0.0023846100285930491 0.94594452416058405 0.011745148835453348 0.061994003476581822 0.0021867554396157425 0.0019486911630687092 0.0051380070481081034 0.92974635018821028 0.0055153627235257153 0.0076300812326092057 0.0016435839574493166 0.0084532379333183416 0.011601573256660795 0.0027319469215591145 0.0019264345264976292 0.031326968056249967 0.0020141792492458779 0.89961315551410415 0.001220111642383127 0.010459316412269203 0.87320095007516541 0.0023284008343665515 0.0037961269648221652 0.010216579115163989 0.016724343595512638 0.017481290215164185 0.0049827577134749527 0.010938965008888579 0.93752633091946302 0.069609014873438832 0.0067847578818059535 0.013259439412835741 0.0041104512587894155 0.94843485838154096 0.0064540630254460874 0.0049505557858819703 0.035536917317031312 0.01174436473730338 0.0065011185268078874 0.9780151603948869 0.0042296787604355025 0.0042426313047543018 0.0043981731343080864 0.98155002524696333 0.0016968615992849698 0.043008666530182621 0.0097322288626060256 0.049543890395201136 0.95107315068611764 0.030056979698931684 0.0081829711244822707 0.0073729832261898911 0.032529306661093237 0.0054436208917444566 0.0037750510744394687 0.97199194435937541 0.95036089144783287 0.0041094295060838436 0.0028267392490633233 0.057900483772261396 0.001853992035477383 0.0027512659255079014 0.97665644035892962 0.0053818403438813164 0.01626937970879026 0.0066268919142447695 0.96678717170944206 0.96284311907497544 0.019789122305650365 0.008929013168370083 0.0099837169096897438 0.049716913438305269 0.0093255658563167684 0.90562543598216372 0.96819232945262901 0.013053224215317625 0.97391005099560335 0.001090515520215536 0.99752980733049401 0.0059585444408411931 0.0090615161072723147 0.018661115684741682 0.9662941551150005 0.0034589706670155695 0.007711392937632437 0.0037349665710180464 0.88012567268134523 0.99696709468246081 0.0030215291735529001 0.017885960678667948 0.0063499539790612845 0.0053460907766601073 0.0060682490433886091 0.0017689029085720146 0.0022549558156741561 0.0037808451337587403 0.007712601415809435 0.93963897938616681 0.023901664284334857 0.033174579676587185 0.0017663492008351568 0.0014886220356188304 0.0093211716056482759 0.0054781656757893916 0.016790213154825102 0.93774184131172267 0.0039114723230617172 0.01103243999050784 0.0022297969741228805 0.94087145809083239 0.017911394276345593 0.95937909950357969 0.0041139552655289216 0.0032333789288583803 0.0039576876324152214 0.96855431925275515 0.0023706520941992322 0.02108377131292815 0.012483953524997019 0.0068205457949065502 0.0012613697310660257 0.0071486516959126702 0.010908283247056562 0.0054133564349077689 0.99313038047903857 0.0077734782296150972 0.004948472172919053 0.0029409072545520179 0.014427136219827115 0.013597968055870605 0.98564890284017825 0.94390378746333048 0.013428891326854448 0.0022069456059116976 0.015579665099452191 0.0066637923007499189 0.9940961780292431 0.0053456145874944284 0.0046104038294821357 0.96208029483691215 0.0039032285342029253 0.01805485674873342 0.019534714772330992 0.011541759773330449 0.0018532506831940576 0.0096251414785736983 0.0014677374188470122 0.92193705068137854 0.025052118248661197;0.0037711354967533087 0.0031114042197307352 0.86473721633922906 0.0016355680636293102 0.0043388484043993467 0.88323151107734899 0.0024166068340855298 0.99025564952912737 0.0035491890626123622 0.0049217061640211028 0.002593256957163901 0.0027824494210394305 0.006544217511353206 0.0031517882525597305 0.34113485282898837 0.0023971304591404955 0.78893999097603507 0.0021412328905873498 0.0033280547187796369 0.70832182900560114 0.0031166092169741936 0.58304760110908149 0.0030192578545826117 0.0020840009617493819 0.007651629687023152 0.20944432104960026 0.70597934303489729 0.0031548011402651012 0.0063627487477537128 0.41434349909360141 0.0014381784972477508 0.0052673754343717837 0.10790224953881214 0.0044964277873591604 0.0061976721896782241 0.0029326910376979449 0.97625231624242881 0.0032629752277371165 0.0056544866711197789 0.014602838121037919 0.0177215721310355 0.0022404867087764194 0.0025210213053709104 0.0089710244155158103 0.0051592659892269934 0.003143110563033907 0.0098680771695339922 0.017346987571741471 0.39323012982634808 0.0065328080246583034 0.41317203778689338 0.0018515998332914391 0.0033313716423434237 0.0032428593903319342 0.0073667713973561075 0.0041340454228619558 0.98540158517315091 0.0040678777096283415 0.004017007100594043 0.0040709813023841641 0.8808940475749486 0.09795179441152016 0.70073622231668531 0.40263616556661258 0.0024993159808121522 0.0038161163873920009 0.67706128068283289 0.0042065344771444885 0.010370700162115717 0.0072477970125971701 0.21883307019397705 0.11471170723721767 0.12276409601708094 0.0062368521652303322 0.0026864687274337148 0.40515879292528678 0.77301194167684362 0.010242439973483446 0.0021787754329026265 0.0050351556539306964 0.0032791590575045413 0.0056555922211860149 0.0058955765009639253 0.8861029492293433 0.0062460164629551448 0.0043476278478435468 0.0070500823756780694 0.68194595201941532 0.0030563554845919297 0.0023822445171747869 0.0085225013156841958 0.20950933648040071 0.11824818510483294 0.0023165259994364046 0.0038800854986499479 0.0039183005836118208 0.0033380879320380266 0.41042417071004045 0.218669005655096 0.2346075789794852 0.0022117503691176693 0.0040927006856877109 0.50210321483257769 0.0068244680706151884 0.0040751657995613593 0.88019942445594801 0.78875319070125638 0.0045142990665080892 0.0046200604030563258 0.0048420858533592065 0.0014097448069035389 0.0028309684651859138 0.69851312870609894 0.011992189083126275 0.99416949323951376 0.86036286974507759 0.31687351880845088 0.007220793874169476 0.0053344325996025222 0.0033424667498820806 0.0043514801498814757 0.002687536696277104 0.0014066226090087462 0.0052575318677885608 0.0043547994620428184 0.0029387342892060664 0.0024779510390224801 0.59744911512104215 0.014762131050502818 0.010337832376189637 0.0015870288295737113 0.11783670005485994 0.0030093031616670058 0.0049416570775949673 0.0075778329563384603 0.0017410228685774841 0.0050182750546797607 0.010251066954522036 0.0089538719061732289 0.0072989910173130021 0.0023155133933736999 0.0028530428946042128 0.31466127742719863 0.39580521680635883 0.0023336445555532737 0.0029029543623236439 0.0055042837370353603 0.0031735224280374178 0.0059984846955984349 0.89554440547509762 0.40611701410406303 0.012284375079876408 0.0022804789848241262 0.0031344358961544957 0.0064573714742572272 0.014047139193427757 0.30746303673105757 0.0030846287602790353 0.0029542636020619272 0.70210233700155733 0.003060536623025648 0.0035006316033574635 0.88537552988115276 0.0026806157403864478 0.0055912226255410086 0.012280211566431193 0.0074958054613272129 0.30947762486023128 0.0080219905445552131 0.0013542166916942703 0.0038568798944956565 0.11778274229184524 0.0054311523482743762 0.0066469884090538962 0.007683647401461189 0.0060011291040961961 0.52134534767114682 0.88755903541924475 0.0035908789415236924 0.22852159529548197 0.87193403459587104 0.0019216811644654935 0.20608590367286039 0.97445289751912501 0.0084380841947565167 0.0052254545335116125 0.12510995187022184 0.0026223788641599188 0.11018422304179472 0.26605428934483327 0.0016990714998762185 0.0087997940163162536 0.015446117241266153 0.0025849884836281274 0.95730208000470873 0.98723272617176583 0.0096199315953517262 0.99005974851330625 0.002168270301049346 0.0018444178094437378 0.0015478385657089401 0.20710894555418141 0.99306337604516626 0.89600819853902713 0.007291110283145899 0.62880005020241936 0.0029262853718931905 0.015630487095334003 0.10605404153319735 0.7734992454341898 0.0016326252395452092 0.0031275177769592463 0.10145368808449255 0.0047471284952904074 0.0070701801961952941 0.0029808365427863321 0.0080287106220245201 0.10533037004574888 0.0059811728750338022 0.0037147966158764586 0.0062676530779436036 0.99230940548558078 0.0055642341296827788 0.88925582002748671 0.40328370833033655 0.11331125090909083 0.78010853111269807 0.0018005573102294655 0.70824447994154838 0.0037944676765221536 0.0026382663859395692 0.0041810384173134223 0.0038981284198339166 0.0039355326598761262 0.0056659759634505426 0.008853970696809663 0.0027414883391339352 0.009718332256132705 0.0044142849337042477 0.0042533576395608567 0.51863412372868667 0.0047337753747960743 0.013716179224300396 0.57673368304753003 0.0051246151242172926 0.0017825462562186052 0.010426689382605315 0.97954226162434477 0.0024108101217515136 0.0038914365759787732 0.0044352818751070408 0.0062741178119701804 0.0064398215903338531 0.0094852740108209155 0.034209243096846295 0.11431923691064615 0.0043244876518640585 0.003560140511421484 0.11488406749259095 0.0086347747625838238 0.0035011239066657113 0.0034142040178856245 0.0030818576774928031 0.85048808132694509 0.50643601518803893 0.10120604968338591 0.10840009215417486 0.36285931608685729 0.42047852458663593 0.0035703341089015537 0.2210407955292194 0.11118685610301629 0.0043229672276851681 0.0044164361651967991 0.010780371259454153 0.98409764648327502 0.019805408460074315 0.021262694709109416 0.0040306332405302065 0.99358191596657131 0.0055453225194318735 0.0023026228925555042 0.0057699702016282758 0.0052971040635166923 0.6818664412337585 0.0015053947217606692 0.004415735094794912 0.0027293595636087402 0.11194839122449543 0.025002201083659359 0.10635463935960283 0.013261533555327578 0.99152705239350036 0.0044567215929227936 0.0046322586647841429 0.0029162474475214746 0.58922567325283071 0.31709728226758255 0.10246777586499568 0.99106167316899829 0.0055892988080501159 0.96901565293398784 0.39243553181941132 0.11144321633738503 0.0030612117498043752 0.0055124111186904429 0.0052191231910309081 0.0041501572481182697 0.52527487134513928 0.88587226588497947 0.68311316997312688 0.0037555732547083207 0.010825753362788132 0.9898023470716808 0.0027390697797272023 0.0033480294962802146 0.0018547732591572795 0.16426724258051026 0.39326226571346012 0.0056753312706417387 0.007660934630856521 0.0040452984055066431 0.89007109339330848 0.0049241240012078509 0.0033897385492316894 0.89033809772549111 0.78439097762619325 0.37989223239831454 0.0037034620806727005 0.0046027175759336949 0.0063691650554890608 0.0055464006309687373 0.87621437261168944 0.88491940161377614 0.0026529228059955436 0.0029833987959245649 0.0017944078203834977 0.89927218039660728 0.30927778223447255 0.008003140335789154 0.0031345919775727371 0.39050142069592975 0.006075605558277063 0.0061263315980575189 0.0030047639533740803 0.0056888559599185947 0.21104225621103859 0.002523172497439362 0.69482590855832271 0.0073525409740426489 0.31602645893155656 0.003047828405162341 0.59784768774705066 0.003320326508896868 0.41310966806306537 0.0064557889893172181 0.0035957399309330465 0.0062560858431753089 0.12936582305645641 0.0060986905353843969 0.0044616091541782588 0.21478727277995158 0.7056530968845669 0.010340619908395099 0.0048363488995563746 0.10949169411812529 0.018457865571539334 0.0024985080030895104 0.0068702042680783429 0.0099782532378873481 0.020105457904393106 0.0054710539596943587 0.10820029497490957 0.0023864008427265655 0.0050960323032777349 0.025451524036647327 0.60229229845779964 0.0033532295852056913 0.0055942235603371714 0.19540622253009746 0.23822935973388187 0.012355416837952826 0.0059363570568302104 0.10454592005397863 0.0075523555481676018 0.001602546877781651 0.0072855014836252282 0.010854239282005077 0.0060446750973335546 0.0039396402796601348 0.12203953447638088 0.87189793125910087 0.0027382186406958104 0.98689915794979222 0.99471842096502128 0.0031422868701453041 0.001473381053417624 0.0056065539634285273 0.0036421465460356023 0.70109956528472139;0.0035069726822515163 0.0054579580207759874 0.0072779911681309798 0.003587137008747751 0.0029667603441282065 0.0056313577357901112 0.0027381696757014548 0.0430850757317724 0.0069744510959081282 0.0091267743022240243 0.0088778731167987214 0.0031413615619469062 0.0042527344706691558 0.0072919244948078657 0.98149946069820049 0.0070107890869880868 0.0078512622296023835 0.007967849098588586 0.0035576899286368048 0.043695045417717293 0.0022518242165197417 0.017108960176568808 0.0043140692409426289 0.0046427682631980704 0.0059147115148633963 0.0062760146637829929 0.98692298904999931 0.0055272585907371842 0.0059368077835412619 0.96683566294441681 0.0038129697409110407 0.0056318590507722565 0.4391577020556009 0.00512848988788545 0.0097596547646305824 0.0037565898211260706 0.95326520917772362 0.0036439628722888901 0.0083446340684703475 0.94294142325664265 0.0026496282959826362 0.019334459856635233 0.0032147953099223524 0.011261943943318364 0.0066837786177247841 0.0032710037005893415 0.015437563203729391 0.011708587254466586 0.016313459082508398 0.034277561806393519 0.95169782602968023 0.01698219967131738 0.0037414191175245471 0.95968883386742876 0.0042808658104480767 0.0055612446385786491 0.03718740261641762 0.0082777119068197357 0.0061810143070659389 0.0041382764797916792 0.9303336302211267 0.0037658483705847326 0.47804055079462454 0.0050806958003906848 0.011000586308366474 0.0016349707409665203 0.0049414354634679698 0.0022258723928151314 0.0072276412600528507 0.0045704674261902696 0.0030337602391857163 0.45061546200908131 0.0070880163632964181 0.001726915042963105 0.0061183867765094557 0.013005392828978772 0.9732101606726502 0.50277866282711725 0.014065919413046104 0.00097971365874914063 0.0038987258306230547 0.0041139176041085704 0.0079354476548667077 0.023218522060132064 0.0026167349304551859 0.0063208104374427102 0.95497356428087521 0.010175987337374404 0.011315489336267612 0.0055928099659377055 0.53241987244258071 0.0026158853703663609 0.0039856938442780782 0.0049007822333416466 0.0059417011984713719 0.48978945485344333 0.001986168888003687 0.0049803721720313287 0.0040894544417252651 0.96666436437479941 0.0057537267864833479 0.0072510201710172771 0.004089959144802386 0.030664584839153543 0.0028668285810330729 0.96742279175410528 0.95533671402304288 0.0095906205784017252 0.0088458171749984868 0.0053810121345250136 0.0043347950612838233 0.004515882490202832 0.0059918380382000536 0.94235229794370312 0.5003328263764043 0.0049064949953494356 0.97928845773638629 0.0067645448687031692 0.0027727380147923243 0.004150546428035271 0.01159160886340955 0.0029746773981706985 0.003058531361666676 0.013392286851515414 0.48341331631148043 0.0038689857717405908 0.0080775590727299763 0.93532986801771534 0.015803947689021575 0.0031960757660077482 0.0025928446553910721 0.0049803562729977477 0.0051112484379720411 0.0033089522906994367 0.0095815371406289627 0.0038306833743176763 0.0084690092236392109 0.003250574173036167 0.0071298118266558737 0.0031399884680009251 0.0021000009961607293 0.0081718767457195952 0.41601123068275525 0.0085680992995358571 0.01321553029798404 0.0041472531480845932 0.0029888596207721212 0.005234821856314912 0.0042242764971750068 0.03250941255369022 0.010088589932038736 0.48173503413052132 0.0087106393268498727 0.0027032302341666245 0.005995072771437013 0.0072948233382796983 0.0014190565365381361 0.0042410432425953838 0.0040627384894438255 0.0052168352092152176 0.0019931571165405786 0.0057514549177318085 0.0087694447562488356 0.0038740186740166701 0.0045739933550473207 0.92225691087546546 0.00770469490148865 0.96019410528054505 0.98011852638642916 0.040623889364564007 0.0057393293482006155 0.96084646069105828 0.014565555968845956 0.008448926788421773 0.0079840964739614322 0.0027643046290483802 0.012168289342087133 0.50689536048932704 0.0057259746797507175 0.015998012394611627 0.016189044058528446 0.01731910827674037 0.0030336211238346433 0.52888644871957913 0.0037462548207811259 0.0042096340881326282 0.0035451083453704457 0.0045958366788619951 0.0028781580229230172 0.98307492217359571 0.0041450603185641758 0.0092561281370902426 0.053748743802092214 0.0084103835969810501 0.0076843764751669159 0.96598668724842507 0.011738064783600748 0.016659506448156891 0.0026815944704722101 0.0057601050246599561 0.0044306258060907901 0.0037412571963208949 0.0062687219112580791 0.95307805323993788 0.0032544553383818684 0.4601722948725584 0.0060407314748291384 0.021579517805781986 0.96118408957369483 0.0061772105184810296 0.0047243068271444659 0.0063694613805125762 0.011587504452394676 0.025969519274843533 0.014376001483155315 0.0046495128629200355 0.0025098851307063311 0.016534479335979069 0.0088687841196459314 0.017272872245938056 0.013450925561000577 0.97113919013367389 0.0096343917250810707 0.024692912198288279 0.0077803868695675606 0.0021772688864109971 0.015309962572771119 0.0028509019857310683 0.0056825865004437835 0.0033241203327057343 0.0034143380071462305 0.0065038118175288692 0.0048603090061833769 0.0029899633954288667 0.0025178064597896916 0.052036874407688449 0.0049706209265874598 0.033555361021663552 0.0070766007722356805 0.49153585648036979 0.005504516660821435 0.0047609454629537317 0.95002801705526285 0.0088272141670223646 0.0058080205985218403 0.035516011338357065 0.97116694169903772 0.010760102424320447 0.0047459155384697339 0.0014637743907411876 0.0037296674134515715 0.002135236446500168 0.0017739650055325399 0.0026202288950912668 0.9732644078551711 0.98316553588376365 0.0050553597413813709 0.0039585455321932365 0.0038919346413450635 0.064614095221595044 0.0069427716117737952 0.0075605185082378091 0.0035537886794172664 0.0086115312727140705 0.0051700925676377036 0.9167964659652188 0.0031034135366315367 0.0064687758357001336 0.96290829642023601 0.0035849223475014308 0.0051156814856530694 0.49038539137889042 0.9634758116394242 0.0055508313946704708 0.90220544020733728 0.016916874071263799 0.0056342785968491399 0.027282971933931199 0.0039041285165111366 0.481963999539466 0.0094309401827410693 0.0044319304641735006 0.013312362482090161 0.013494039058980127 0.023132235359050738 0.0044374571230789235 0.01464968804890824 0.012435109525499985 0.022087893011341869 0.98063212921065535 0.95489743760449275 0.018516419724947452 0.46144377656088764 0.0043156685229484345 0.0034766775931628531 0.0059462435800259842 0.0083669835076515472 0.004914094057878942 0.94665820732158668 0.42316534468125183 0.0096427526940686577 0.0050609702643129445 0.94467430949540154 0.95294334834185357 0.0052976988987136105 0.0026725036032593766 0.0034713411641091665 0.0027732794824708736 0.95676491717805723 0.016508012204692391 0.0068948805643147884 0.0077518495796497656 0.96334033115158757 0.048596547806103674 0.005172784757460849 0.0023807767833791266 0.0029163609129302824 0.95548463257017247 0.012697545118443121 0.0025574053992909029 0.0050567843892719948 0.0034667772522526718 0.48329110692234772 0.009008648092349511 0.0024568459834748038 0.018564958668200082 0.0043597877866199015 0.0032471577231668637 0.0065166070579618911 0.010574402928986364 0.0098285541246747946 0.0083900775215096333 0.031727969100972309 0.97526034817422702 0.0060112191784555975 0.005029735383424154 0.0071314928256638599 0.94866476603771566 0.98019334853810214 0.50798693561309849 0.0057482131708534306 0.010270811989858349 0.0052028434420040189 0.02414987899637655 0.0039461434591424264 0.0047412547869201465 0.49614554135951122 0.0079114443750674234 0.0022635191370035217 0.0058741151658185022 0.0034127929707847577 0.0024601952927068849 0.94999181188392368 0.0033899325916102057 0.003640923883858874 0.023336766921807472 0.0065943275723357323 0.0035129371476077188 0.54155494504883661 0.95468819635449631 0.0071264745416628082 0.95996792577397505 0.0039322513165605272 0.0040091620065527576 0.0029992257012738518 0.46996201525310982 0.028305727161886729 0.0090503420207062642 0.0081019616618871696 0.006675883302873443 0.01108240285523036 0.0048209464984216499 0.0193618209276431 0.96606206456184274 0.0025374463507336961 0.04450685335050264 0.97791348314794446 0.0055131150050350703 0.51047320711612076 0.0079387148071664963 0.0069565306471692789 0.012411590969812888 0.010315977373670973 0.0028043351941801848 0.0065444688425606501 0.0066401590629046794 0.015942954658325369 0.0027872461552476491 0.97240873975262332 0.0059552445030737625 0.010934029868320171 0.43722712595325053 0.0056544936949287665 0.46263412844855206 0.013583681941927606 0.0043138874274612441 0.0029010821973504421 0.0033263010383347211 0.0047859141301625982 0.0061636118156461039;0.0043758812200063073 0.0020634298681610854 0.0020553255718083535 0.0029658214677277168 0.0024207587412804696 0.0047147831505154301 0.0021303518837044624 0.0024298963497980516 0.063123163353965006 0.72337518792597977 0.46403100760000793 0.0019148814402363803 0.019463582434561796 0.46952040525257349 0.0015491191384895725 0.0028215257149134592 0.0018356414318153342 0.0086483127519389538 0.0030751427445529977 0.0035652383232455498 0.86425749688698228 0.0036762881867195255 0.94258460184593806 0.0026379967320639174 0.0036055295609656356 0.0049201429011417183 0.066453821230469168 0.0017845999479240038 0.0039705049757844052 0.72426122795058478 0.0020899199538485869 0.01209464162964975 0.80887173289612591 0.0034293668734390642 0.0036436667422490776 0.59745860395186401 0.6556699271772477 0.0022665468649409651 0.0030309251706834824 0.0043786686380709369 0.0034736475417980126 0.96107661853280169 0.31530771601572244 0.91886064696700365 0.0036716300145767733 0.001909266559440161 0.79619392626144725 0.0039972365133042346 0.006103872060333396 0.0024107820798420308 0.73735280565379935 0.96698587730409358 0.0030362848650992884 0.37883831256142042 0.0028312382878271339 0.0023859608645530085 0.0045880324301763448 0.0030017369945289367 0.0033857016885995529 0.0036259699959043617 0.0030808192622846756 0.0022908912616590319 0.47631119579927217 0.0012529441447674903 0.0022315104489866837 0.0042739565274193267 0.0023929985406491122 0.0051931523862735057 0.0037291111713711658 0.0022734186089569826 0.0053457979167875775 0.0064107045927555232 0.0066306182992696243 0.0039636991479424146 0.0039594351227669779 0.002926488353963877 0.14601125091731082 0.0017592797094345507 0.65080552097998068 0.45440734019671281 0.0027862500246387668 0.86116252679132888 0.0024800633341041708 0.0052694462219775228 0.002555728410853924 0.0020548790558407976 0.32354485960367868 0.96038529141221185 0.0083668479636847953 0.0036103632146281457 0.37873348025561937 0.0022177663662450641 0.0044799205798959751 0.55244692474375312 0.0018658689404504169 0.0033537930110069682 0.0013970874248373489 0.0023517276978194507 0.0026520559914676198 0.97185052138325223 0.0052575918508527423 0.0023551579033946734 0.0032554662190390788 0.98176734906324126 0.0038761803400176155 0.83827269123667192 0.0048794341428714093 0.0040509435290337304 0.0032735091470788916 0.0031266048445837344 0.0024513651411046888 0.0029881281672961999 0.0028734170818297648 0.0016004449238862142 0.0033619001965874825 0.0024473864490718246 0.0064621853774602537 0.0030940755310636639 0.0026358787095395642 0.0027320929156160116 0.066391853911127147 0.60756580780839287 0.0019384579470488809 0.41709214271617312 0.33787687747191436 0.23531811122513285 0.0025322559628226408 0.96752192857862784 0.0034486334855230233 0.89296451155152701 0.0012453006052124149 0.0037301294048807648 0.0045095972999691248 0.0019596933444018692 0.88731394671731145 0.0035903980678213079 0.0031696208098363505 0.0044851738163576398 0.96977245153444946 0.003739080313650649 0.0047126629286016429 0.97838200778618867 0.12088050881536236 0.0024542817042773534 0.062398692041461465 0.0028523293340958662 0.003227865985452329 0.008959914276671168 0.11238638886523211 0.0043385934987476369 0.49125827664477589 0.0026358998528897455 0.55647918619194758 0.0040620461731642856 0.0040462779041931327 0.0067938707686650132 0.0042491272061818495 0.0029889793384215357 0.0036421095472882149 0.01418528237022295 0.0022116790018644854 0.0032081808013829987 0.0048027791240756448 0.0039016950356482285 0.0051294029304756609 0.030608772066630194 0.00331425789885317 0.34205173863892002 0.95177922634810264 0.014193741386982872 0.0033143155742973475 0.0056992146477756588 0.45595644836737304 0.004901961971772421 0.0018323567001305341 0.0021283109998475923 0.016064340644535269 0.89406089902127239 0.95433853946797165 0.3527151725028827 0.0021873510479870984 0.15550980881824839 0.0025850164191187604 0.18405737904844111 0.0029089916351188838 0.0027532748692033798 0.0077634827086225751 0.0024810348287176614 0.0022714959457575852 0.0023841648638086759 0.006846661176861708 0.19520053929640274 0.96161947346697785 0.00312807833615583 0.0023338751515088988 0.062088740286655314 0.0036824015870998194 0.005184885268213351 0.0027191688982921526 0.0019976125859015176 0.0035559897783337289 0.0026269605666101523 0.0026082429593418588 0.0041956904478417777 0.33704355264147473 0.0054945798395032528 0.0034471429471620036 0.013728827184948125 0.36022017431891251 0.0032245246930955413 0.0034287944867409633 0.0023988173335066833 0.010233706475041623 0.0043442095323554799 0.0033564172270541125 0.0021221478793986164 0.0028896643435498645 0.0090370283158486605 0.003258258585198355 0.005095542396667211 0.0042243594300073028 0.11515424804657237 0.0031224397803415408 0.012791486424270216 0.0036844571227920035 0.0067759645076927583 0.0024113583057833368 0.0022507117265847471 0.0032127706775880571 0.0026822330900016303 0.0022867414087827786 0.0030221515972946064 0.0023202531463347711 0.0021789107627476359 0.0028618583959787529 0.24513737987609208 0.0016950968859023234 0.003897225843214433 0.0026252240435791852 0.44351412571304849 0.0037731566387504464 0.0029295798543492171 0.47102388849661536 0.11342641032779285 0.0021189422918859537 0.98584198369049392 0.0013786509879006421 0.0038921567576659746 0.0035628946023759807 0.0069573161774981948 0.0021641195464645099 0.0027831537606906012 0.0035405436096944288 0.055811232334007158 0.0039243111645907358 0.9622583132336231 0.0023859193579112044 0.002431975708223442 0.005545377837733797 0.0040004987144477873 0.0048361838833902368 0.0032989231543603878 0.010121271295356426 0.0021792899935868947 0.31992755789320371 0.0047852838725905029 0.0026718731100001708 0.0020618762909884515 0.063914852300114081 0.0037367096194239066 0.0024463453679938571 0.0092373811925296617 0.88900645654437827 0.0032196066279634584 0.12204927794689363 0.0030532419984321182 0.0028919131199792846 0.32553171990611773 0.0024536804677564297 0.0040923669713815898 0.0030464321494119164 0.0023849261325176127 0.003177985286344975 0.019593496610451459 0.0028729997253699592 0.0025835342812062919 0.0039520964017242801 0.0034170900449882356 0.47024374465837082 0.054735222141876899 0.12057785662190708 0.0032864545653876562 0.0039630596347188171 0.0033059398891614276 0.0029313655010946536 0.0024946426979435658 0.0028773736134928415 0.95173477152154429 0.13088577961832926 0.0064731387245713576 0.7754418997504775 0.0018018307686802756 0.010577708912254529 0.084896417075841599 0.0031089339695970133 0.018926561245699192 0.0029966919220790864 0.0030617615495319474 0.022547357107728629 0.0041505589576000656 0.0057492905098017206 0.0048023473252226979 0.6982084230791934 0.9665382729761085 0.0068375783123427944 0.0016232035191932341 0.0017680923711919485 0.020008554817199185 0.075310518523342196 0.0027453174431733176 0.0031551012841885117 0.002642012924023517 0.88728231677156066 0.0023976230915215011 0.0029851038290858202 0.0034926119380549957 0.78859404004896716 0.004093931152600561 0.96497032099245861 0.0035544975737812007 0.0036975291529683825 0.0040394572844549342 0.002877809509663288 0.0094765063004791043 0.0026009211388356313 0.0024332828576307383 0.24076598386483566 0.0038553803749803162 0.98851278444471791 0.98075525355321946 0.00291306717768109 0.74420600299589146 0.0033798018043974844 0.039099158162005321 0.0023202593689217611 0.0039813628262661488 0.0066858981624640232 0.0086128757292671856 0.0031926782668581207 0.0048512765221638658 0.0027788573646471545 0.0033805234719847688 0.0085890209913817728 0.0017102995501324953 0.0049894398218644012 0.97461804313915013 0.0032930014041039524 0.0032593646254009227 0.97377169150825638 0.94652894533914389 0.0032766689261657655 0.003150074049409768 0.0020223906621181127 0.0035303886602020065 0.0019885251378123363 0.39919157036828345 0.46826564428506923 0.0030764855998047323 0.0024279415111981895 0.0016152092557611937 0.0023350304558827266 0.0023504608581530152 0.0010501441701544554 0.0043531075371469486 0.0024728734586144897 0.0011430222888076155 0.0050641021033050624 0.0029898807506961002 0.33609779520733946 0.0020021085153083019 0.88290705562409844 0.002716932204118754 0.0029435063782577752 0.0036081351262660867 0.0030515036697930432 0.0020665123172811527 0.43801055821217605 0.0016713087416509154 0.99289513344450142 0.0029548179025066842 0.0031637772214759994 0.001977461077980378 0.0036192359317626125 0.69357765019890127 0.0035794699926800428 0.0025130564350572537 0.0016281780269121466 0.23008663906018942 0.0049235462787711824 0.0025682547837843238;0.098493725675670066 0.00693555390098167 0.099882379630425594 0.9495238419266554 0.0070787290915384658 0.5071405068750332 0.014041636476256272 0.0084471714966203176 0.008256324670339996 0.092867666734343657 0.0067372962577336498 0.097863893166872717 0.015666193854622434 0.0089411434141933761 0.94677079796484731 0.0093595774185168644 0.27176944803747904 0.18430116758359094 0.0093578345183443091 0.28049054166398701 0.0074882499683159255 0.0078070729208054249 0.0043543101318301346 0.37427454831474294 0.0936100610250091 0.36982600056216891 0.17564627041428316 0.0082806724163260095 0.01002843264529879 0.0091557120155122788 0.17880672289472344 0.0048140295375131764 0.0099023715579107194 0.54304893208536886 0.0085343545144508336 0.092363369165585379 0.0080517071911481199 0.85959235298798276 0.20118688933682385 0.095261942637498084 0.25646066119443395 0.014411811628640768 0.012741292352105818 0.1720355336800144 0.18153592933862223 0.0049731040942451836 0.0082189009365552339 0.026092347287162532 0.09879114044673451 0.33598690145623639 0.27824556081007712 0.79379177270870982 0.1809596685553648 0.11217523095039525 0.53673422230304757 0.014732144930867986 0.0068006583124063094 0.51052949635853273 0.10345429493019845 0.2710754955930208 0.093875877708301664 0.020203708454654065 0.16463539303526256 0.62127261206502382 0.004148048903874278 0.009658251918462691 0.2092274803971198 0.0096248955887136244 0.01449933037660397 0.53843343888215189 0.0089845884119872724 0.0076006204097268165 0.45025993180646717 0.015039456339716571 0.19849336243978258 0.78709949656473033 0.0078120549638557926 0.0092309581913989584 0.18275284666762567 0.0068456430507643044 0.43859772866636243 0.17824982461210648 0.0098205813636350753 0.0040950670324042563 0.17954265661941926 0.71248792141809081 0.0034004634228391732 0.0048149876069548576 0.096529195023373135 0.68532039311797388 0.0067351043972680574 0.26459737315892218 0.0085450763005946052 0.089520783428455764 0.70034871967970047 0.43847520360928982 0.1031435673809632 0.010977246828620451 0.0065313256258822889 0.8569138524947586 0.096471283506627051 0.19236750347225159 0.18872133195054797 0.0098560061030541976 0.0062814575892970589 0.26144776400112252 0.10147465761755345 0.0064770477339921237 0.026351675453928778 0.42719964681615519 0.17948221364152539 0.0042115627823170691 0.014916519890191592 0.43703165145771905 0.0085435163040535854 0.014591347227285535 0.19735378449506724 0.0039952196130238187 0.10136628088770805 0.0084679941899287146 0.17282098250163461 0.0054115983273659938 0.095816886502724075 0.0044518667513370027 0.16807991874183476 0.27963978342075585 0.54382534884054967 0.049428141005798183 0.006805497358252176 0.17362380734427954 0.49059575124641214 0.008976115723420889 0.0084943484101592838 0.096321033224036845 0.0096111234156029766 0.091991295305372159 0.28449047011523054 0.094767634022732791 0.013123041035859465 0.0049931084016381468 0.086985026709621299 0.009350252911032076 0.0048975634378691174 0.095516107686054091 0.21533253267926217 0.17118068291498792 0.098962495479552284 0.1389591071137046 0.29148362892447621 0.01012793287788839 0.1642005818454334 0.73731014435036712 0.36793778053819393 0.089599762384916959 0.46367051195008147 0.26180102956494983 0.0061857207638849766 0.30661314781851401 0.35638471093918339 0.2348501078218499 0.010970045381400851 0.18571669201418492 0.096413755661383715 0.79254989543901089 0.011392390334288247 0.097455355322943291 0.28037727848645355 0.091643177787344973 0.0065763733483831374 0.012609102978561501 0.12390629063181539 0.097318048022410758 0.0085415774592480665 0.0090595196540836885 0.18721441080768206 0.18278029895352799 0.0066103597135342175 0.3681186262567423 0.30123293993934691 0.011292993608279183 0.18491464759880866 0.28185291460743572 0.29001448237017724 0.11760596383911331 0.19245421030366197 0.096926116535827972 0.1057755612219486 0.0061250660739527183 0.17092307246459024 0.10385972114171027 0.0079619660803431584 0.17521689217322234 0.18377505505574065 0.10165407706337291 0.28765680676268574 0.0093906736982285952 0.25455648222798283 0.18457394551202788 0.52613098508035394 0.019546835513328989 0.0075516511729479558 0.014188351763448201 0.025905725355719052 0.0066896670840503594 0.091045983672397982 0.34413111481361763 0.1903750726821932 0.56486945331636385 0.0035543334512055306 0.17385325678784253 0.0064360644972452918 0.59172364952174028 0.18390824344295342 0.61513417970677697 0.09950230210413534 0.0081990391415336268 0.0053619290117289022 0.015229765366266223 0.0074985433154910377 0.40810935638077517 0.5326118180311411 0.0051891315493890139 0.18267161279197269 0.099020533622786552 0.0087531430810811363 0.45268899344318281 0.090248901149454261 0.008677281667377839 0.095317059624011991 0.18111695854127552 0.27789488718383376 0.67944487752144989 0.18406066813295519 0.082227812599496047 0.44756338895644965 0.10391558219980485 0.0070801377853768723 0.36377627237800975 0.3502210798710288 0.024079226891752865 0.47253812758175173 0.19314871570968301 0.27755809312482743 0.0072708651227737491 0.007964966602711572 0.0068084609214031176 0.095527104661207202 0.011168946518381784 0.36565556717469744 0.18921441206243478 0.020065377830863824 0.095062049893799377 0.078929138992510112 0.0069096884921520723 0.10844634558305377 0.17852789516492409 0.46505238426049572 0.26762932621003788 0.09924076581068185 0.01177340037045344 0.17551509480090799 0.19083072531056222 0.10434173983885242 0.103374809526357 0.0040000935307739653 0.097066912058990915 0.10203864642815889 0.0040793695830074941 0.43423119038295438 0.35306461551052715 0.2856582672957364 0.78437437244588548 0.78687675772388022 0.28450727698041162 0.0047996110559725882 0.0075049789235083946 0.0060882993671340421 0.0079441727076818378 0.87267512544518566 0.0079361521364054357 0.79783788711158099 0.19733195598756623 0.0063762101012770703 0.0062497546164516169 0.012803893768609107 0.096396760750585106 0.097561340754856798 0.094264624695633459 0.0057057349447827959 0.010178838252885146 0.0044760122230787132 0.01143677144492221 0.0092269504040640819 0.014302790794151903 0.096253902182819082 0.49661400484064866 0.0066720557871253004 0.098213333913126449 0.11888650591764055 0.0094143021937222321 0.0058835925545844617 0.53102599041928733 0.95930135193492316 0.0070854214325870631 0.011138940667934933 0.62337923954438257 0.096748535340678274 0.18514280786094967 0.0073372388748508197 0.42067277077737425 0.27715809761221866 0.56080424011920615 0.0068154526632628592 0.09073900913732047 0.28380792038451125 0.017862681772099213 0.59493991312956018 0.098367801793646181 0.0060726346923052135 0.0049298431231847122 0.61885618865005909 0.29819480565152628 0.0073304921335774521 0.28150129023940629 0.084837832877889874 0.72923799151317059 0.64556117348052378 0.38484397981365082 0.23989847275549162 0.092273174236519817 0.61768907802126805 0.24639612562341154 0.12087894173167338 0.09620904824650385 0.11440843578269473 0.010637806315525442 0.094443258954171938 0.0097673495547248787 0.0045570904447768167 0.36741073383410849 0.18514492322506487 0.093893789114199433 0.099095493366965048 0.2699436442690758 0.034692807752758043 0.26157687129459939 0.00901140852213329 0.0040754139789260088 0.0055195780144728099 0.36814792178670558 0.10932758986825115 0.52643314222196369 0.0079226417216247524 0.3429148214996896 0.010351462835482888 0.0088617046590751189 0.27053464911869712 0.41639185719403077 0.0065476625638108167 0.010134470603040553 0.17507499388585557 0.014089699085620714 0.0050386852865547524 0.1664977223405639 0.0042455673040705756 0.0066641731104935603 0.0099047683758700621 0.0084825751110862452 0.011498942966298215 0.0033536601268688211 0.013857619672118782 0.43048607297582647 0.0061335151913619636 0.0067840791375205064 0.1011177108155851 0.098303822913060931 0.0074538877944880016 0.010044444720610668 0.2127091219148696 0.095750280732754905 0.0047848947505889118 0.36277005857750683 0.013535657243909222 0.17092556269619685 0.42579715913616895 0.0067468689638161333 0.0053231168998511338 0.17929042606773685 0.94344508800993843 0.86269069834883783 0.023162814428206509 0.0070616578692364708 0.010032070867772313 0.0040440923549516184 0.0049954686525192577 0.71835628458564382 0.095435410651827562 0.021081903010368767 0.54997178039005079 0.35484619730957984;0.0051778566292290801 0.0042465867162909433 0.62826504809470229 0.54466865677882481 0.0035841520778770314 0.80654822737453891 0.047728678752449051 0.18527690214745135 0.018033118450383273 0.013958141674129947 0.0064009632143886934 0.97209794063709709 0.095349473494122303 0.003889731431087718 0.96725708753249617 0.0080674313049717353 0.52808054827992834 0.085716099265999032 0.0046678039298521917 0.0036502436166214662 0.0083164300439352128 0.19619486110483428 0.0039641589105715198 0.024436342192684694 0.013472518751966785 0.87299053881469979 0.01068334275583495 0.4558835079183442 0.0044444189321520009 0.27013298408455039 0.0047895016477614571 0.010213833180653938 0.2614159497587657 0.1962455040880878 0.0093524121929153721 0.0072560827910941959 0.0031400747808266252 0.27155865688739017 0.014040432846855997 0.18327637847785705 0.36231665676552327 0.18423828015682225 0.0029050498955414256 0.1008517236842985 0.52575760055893028 0.30869664250547862 0.0027743119657678283 0.32794518343479939 0.091432208108111035 0.65031366006629099 0.0070041828842896245 0.507988256450423 0.011369231477316992 0.7274895022740967 0.012463754976546365 0.36925057959935098 0.0060105851294229833 0.48069002276528061 0.031684633290918439 0.010498185892388195 0.010227587924185226 0.005047594285162188 0.10077366135732831 0.33351449509987446 0.0059815839380804453 0.0038716214126427403 0.0059249650661110514 0.0028146398387848539 0.0026571902119380477 0.0099609587353526631 0.0054365847254292023 0.0047303657792524727 0.56502189040159501 0.012581620366282444 0.19745709487462682 0.96849805065726557 0.01189206476208317 0.89267435605991885 0.0080251079720282913 0.0046507865960419758 0.0056195275767239646 0.0023990565944302022 0.0051114752660169193 0.014608630813638276 0.16816023486316239 0.056275602898384645 0.0043398808943151158 0.0024066016609319602 0.0065414489322836158 0.88434461308705115 0.093022949117470013 0.20534707729659668 0.0055958935137250219 0.0057313328900916571 0.62488559088942419 0.0066377616140857083 0.28638421949856796 0.002936856113241358 0.0038275715230599704 0.19188436942286233 0.2928703671560422 0.32484672243223112 0.10272133045536452 0.0046472568496995093 0.0026910839875572872 0.37796948865839697 0.28308447749726007 0.004589839108864264 0.20870185037619127 0.33933578696572442 0.41272175938372013 0.0071198868849146335 0.0084854741727856363 0.372032464801756 0.010445099817009158 0.10347996209447842 0.0065229729502422409 0.63190300235394514 0.0094899032799021354 0.010988226637203535 0.0096274759672660536 0.0035657362617976525 0.0056756897768745354 0.0041318394069607446 0.0053629118252398293 0.0082991544920782874 0.0061632753722030637 0.10111716293588333 0.0036821510049418263 0.0084700960170493236 0.90225367194308159 0.0041837099865331458 0.0031550841227239289 0.89862271577330943 0.002286812671970586 0.89249467844744279 0.0057332721161375555 0.010711952492178524 0.021261425779959219 0.035309834842928642 0.0049929333746860354 0.96476804943921679 0.60336924717054774 0.006168541528258787 0.0038421203718910389 0.2250901213202679 0.0053589672865217266 0.0061490804368408442 0.0087609236374594241 0.0023957492561570938 0.18748108502099306 0.74991794362682185 0.0054267450215706404 0.0074438288016691646 0.47647567365105037 0.01332801983071704 0.0048502927116160412 0.0040832555276242143 0.24166948896418938 0.0045194641484462969 0.0062708161989458947 0.88486184903999443 0.0058377052621523262 0.44619408551035955 0.11019860121852482 0.2810366514432418 0.284539507536409 0.025195923107723207 0.0054562696257164601 0.0070989279623243588 0.27475332539195835 0.0046019176616650375 0.0044676432564435759 0.015924826157457734 0.003631228832770496 0.0073230660549809135 0.0042267024875161409 0.29521488469920887 0.98623430205519913 0.17769844745612068 0.022482821662041685 0.0045681229349451395 0.098142036403963573 0.10695390019216652 0.096002869140968228 0.0037411967872296439 0.38060950057980325 0.003519491547319661 0.0081339263784213495 0.0066109403197683169 0.11082017596573961 0.0085654422551429098 0.18359557401696222 0.24189849135035413 0.18477575332537913 0.25897269647824828 0.47219222613181244 0.26131940563596912 0.0047064941987434612 0.80732645094968281 0.0070956996604185371 0.19713156327076775 0.26726893063531576 0.0045538912545449233 0.0034295589504094639 0.63153912055420958 0.013628086245452118 0.094883980217187885 0.011290571846440174 0.0075667337421569149 0.0042717169446167061 0.68866422760100399 0.092479171828622322 0.01381740887125712 0.015565776040955987 0.014324876620610241 0.0055116095467025381 0.18364846974182195 0.57794022304817505 0.11124639614027568 0.38429556557272665 0.0064558000749888262 0.0068494831626424056 0.98328059291030578 0.0035296233298717531 0.012209530175651561 0.10187668471202695 0.94445269679243971 0.01044870053356985 0.19499781628316745 0.0090002904322215738 0.012254561219203843 0.27092333581050704 0.0064443636918486208 0.32174002458070811 0.003857670276888618 0.0038966093171808915 0.010949890534483418 0.39055876538029982 0.63118046205771272 0.70378653412910896 0.0090855466130970626 0.011243936863743285 0.0086200133247991556 0.4942592334663114 0.0036056083611775195 0.005121699390855626 0.0052362638528173164 0.015098485174343692 0.34981172841459873 0.027368836633489369 0.0050514259878192951 0.012721558830845204 0.0059446731054040632 0.81001150962685498 0.0058813261736156038 0.36038830950946782 0.01626589692328842 0.35396978320997186 0.95453879119102536 0.010038188910044626 0.0054746079951175277 0.88813028181814402 0.27832407411181193 0.0014985903519971464 0.0089032031994259464 0.27210706951389468 0.0057517276956858161 0.0050668574743725396 0.61869648913647368 0.0070666752640225648 0.02371562978372967 0.53673612791299208 0.11534413095711589 0.19371570497321916 0.006781673884615807 0.0026449539519614439 0.0063695558452124875 0.18962139585849547 0.0055624829989350281 0.78520688878334577 0.0069107509509107184 0.0051255307378300433 0.010431921432164936 0.0088027123532595404 0.0036511058058833956 0.46081706186963156 0.38690661637241663 0.0059053983950458364 0.0053764880647362671 0.4415414630868662 0.12360214700330022 0.010765189850864346 0.029373400045751223 0.0071706307236016637 0.0091802402792307142 0.0060355975677877623 0.0033226261741423416 0.0063039821109648481 0.01524769456316139 0.0043983468865752707 0.0074593709163258267 0.65308111549411696 0.24727310732758606 0.0087279393663630498 0.0055212637713989016 0.0039750753310279332 0.011606390183872529 0.17204847746228757 0.012922389253956328 0.0050647386922447746 0.28302382110703239 0.27385703141278317 0.0051317141354014677 0.98457304201706641 0.27615253405888168 0.61709282290177614 0.58571484506640414 0.012648640150474347 0.0064072120248925019 0.37790437974447016 0.82629090981489661 0.0077687956556580767 0.020659665470214257 0.006508946404792923 0.10850734212576604 0.55215701948935481 0.26048060887429114 0.0051374172610885744 0.067425406163879403 0.014971688482902028 0.19231493219164231 0.094828260557808283 0.18797233395458054 0.015249194207794215 0.24910994376406914 0.83877686864228163 0.18337275795927721 0.0052741641784776697 0.17996070164943748 0.0076463008011156972 0.97230871163088972 0.36485961175316511 0.43705887487863787 0.80673872953656334 0.2292338975806002 0.60985927928631856 0.0040575863446066993 0.0032439026740656374 0.015336273896093452 0.015701210154543 0.52288743492131651 0.0059623779622783911 0.5087085745093175 0.010455314093578938 0.87648502951259188 0.0092858595719723571 0.87076945849649179 0.0028949157289921102 0.0050656545465946863 0.7957029314256332 0.10003778994023274 0.0082816768612879541 0.0059037330418803139 0.0031170878527932494 0.0063668342841870455 0.0028937602897293737 0.0069788260559295601 0.0037021096706283639 0.0044680886674398519 0.0068735876837925161 0.015158271180544395 0.0073140981838871718 0.0040134123540307085 0.18529047204358245 0.0024386006274423199 0.28712227395469253 0.45917309109498161 0.0091914827842571288 0.0038628806187617289 0.002072421441832444 0.0059480700357225245 0.005696944430684016 0.0056779092614583403 0.0085509458705401477 0.0072357795315693314 0.0050216073820963858 0.091949379910276713 0.29430104165481263 0.89053558079332862 0.10326626096152428 0.69894177288077386 0.010653387141033687 0.19216614380794741 0.0051820703147777885 0.44256411558814268 0.0050139620015087795 0.013398540099217683 0.28804965529629162 0.018594332055236151;0.007743278192773608 0.0031532852283229071 0.2542679301877967 0.98633861864741268 0.00062281394744310276 0.2508528334206363 0.0021553755346231229 0.75748511115929351 0.013493884837853576 0.0022784110626345618 0.0016156027212044708 0.7533242163732361 0.01435631911567258 0.0011240602746761478 0.99954912060673262 0.0018980034091547302 0.0087705851034039269 0.0031023311234877641 0.0015353032206744648 0.0078983921411171776 0.0022712457423416646 0.24425513902504145 0.0023628719422819989 0.25969627143185742 0.0066179467972861672 0.99472074613261485 0.019241484433507035 0.017814178903066184 0.00048278590268800069 0.28261980743840365 0.00072724117678162601 0.75162375773984302 0.74613356032577594 0.98658955024756345 0.0013090495073283036 0.0044004901527499888 0.0025289542338627498 0.0066849613752696692 0.97950690663983397 0.0190026543041458 0.021733953836577186 0.001195843851891607 0.0078167195124620066 0.7875502451812959 0.99229633849964693 0.28930565649279893 0.0026720959779718239 0.26686517274848909 0.74805914411707575 0.98977121417640912 0.024361169173496316 0.98247321886981243 0.0038843129089826296 0.017138100363035879 0.004674014793168561 0.26339320899082008 0.0016400013387124633 0.9862928086374454 0.012742663017666109 0.0093642061770114523 0.0013635112490367259 0.011899020194699289 0.0088258332777529751 0.0042502834127872303 0.0026397442051695839 0.0017941441290007451 0.0019965339146270408 0.00068431637213062723 0.00056376376406818817 0.0022220572151129504 0.0019490132922013485 0.0037006125356186378 0.99000268783554501 0.003428637366758048 0.48369526385292227 0.7415524344065727 0.74142638519494675 0.9982547907667233 0.25826402188309638 0.00067359476211282534 0.0033347358686700388 0.0010602880120433764 0.0040208547648218221 0.74803344340834155 0.013026096007473266 0.0047587274616536701 0.0012138002705851139 0.00083719423586374291 0.0078436611321219471 0.018834104925606367 0.75071262321836052 0.9834768203110591 0.0024911536296701336 0.0030798133954743978 0.26742229368657644 0.0031308472382714021 0.98666651288455287 0.0024627048954833789 0.0014247627338301171 0.0011663688387643905 0.26497753575939237 0.49212650189647156 0.0059605792412573307 0.001755219418622069 0.0035834191894362575 0.98964450666613546 0.9931810978869765 0.0018557394938146811 0.9520322831375001 0.0066562092103814308 0.74480325736990305 0.00055455376767674861 0.0090163602159193494 0.01050758555816526 0.0028186409384885007 0.2591619387114269 0.0054128570464569798 0.99097555397336645 0.25589036139203925 0.0026703981118660139 0.0048003062304672649 0.0020171882898728463 0.0013030958332518039 0.0018854060435986946 0.0025735508620116625 0.0020789938196135171 0.0029958371598799642 0.011165151624294508 0.0028183573933178562 0.00907604545667 0.98836975388941106 0.00062515402617412022 0.00058939329170644959 0.020370351281761158 0.0033524434377683542 0.74215882439531877 0.0026864770905615691 0.0038817650496816391 0.98012520825600891 0.2581287071103423 0.0031626640031558141 0.27804064384585808 0.031510665681391714 0.0019574840454809161 0.0012398052829356578 0.97778817962182984 0.0017621614642027753 0.51826465448293968 0.0028428092852080204 0.0013914758787748941 0.24108167024937366 0.9923123192023946 0.0030281144459902969 0.0044775147377608239 0.73021796665663818 0.52706962479588348 0.0011401481734227177 0.001089821410440651 0.99364667045881172 0.0029661692631447771 0.0050811016724439956 0.748924532931458 0.0030569235811325184 0.50982760007833861 0.021661484142981913 0.99136925582351298 0.99564853052035218 0.033541626698501463 0.0021156082899711388 0.0013913749301766205 0.2536614050826615 0.00231903475637249 0.0068393343134633107 0.74315171341603703 0.0017238137308488589 0.0030340749562734652 0.0010381944313945265 0.0020931121773961944 0.99838421580414483 0.032320426861462082 0.49985171226554759 0.001904551840480128 0.0064000656691115508 0.99235134365355548 0.012522935741435252 0.0010069505038287729 0.0037749484501527 0.0011132650123034959 0.49559668047026129 0.00071767317648996397 0.013982635101464811 0.25605451747363561 0.021489609262084292 0.011589435049695805 0.27094597683248189 0.0055706074911868542 0.48522840617832214 0.0082178767182246783 0.0031081431120953294 0.03205359596725986 0.002039838455999061 0.0048804140211854054 0.98675479933232091 0.0017345861805737927 0.0029055511359464331 0.99972494245491506 0.038892887771900662 0.98423772332813964 0.0032587940941009317 0.0016536975631155088 0.0025425704455419563 0.25132037496431103 0.024477634138484389 0.0083877189356224482 0.25370985888123293 0.0033498540347370858 0.0023709221635615967 0.0010794383840983467 0.34987958675028902 0.74459365216509132 0.99981267491267478 0.0020299266451265577 0.0094871544062969798 0.5056205522591285 0.0028819692542999854 0.0044162815470495222 0.98154796745234796 0.032122580118533015 0.0015213370986761165 0.012445815175575721 0.0071436581339979471 0.0016624233897808913 0.037533311155023896 0.0032640092690983643 0.004344505309033438 0.00082837971023859717 0.0027525630924717954 0.006766865418151879 0.7406849388251453 0.012172913447843863 0.93797361123809342 0.26944924024487615 0.7423289568064465 0.01465337585728289 0.018793681000394073 0.001562153930697171 0.0012590270858512842 0.0013798486453650356 0.0033676550162866957 0.015955388651930892 0.26270211782255481 0.0027749235776625188 0.010807374731968227 0.0039008523817316877 0.999603386457939 0.24718848869073756 0.0021580425810168741 0.0024558910822247634 0.007912762756825906 0.50818099972049935 0.74678714917606215 0.0037991263947861468 0.99684683663838314 0.012126556738291657 0.0032583565856926329 0.0023862022722814747 0.2435175004272013 0.0044977683012946655 0.0060478828663273598 0.020034912365917552 0.0054523515331837604 0.0017895181364853442 0.011970119304800596 0.0039119051283020853 0.2440454174823706 0.011684162159985644 0.00096298247419837103 0.00081368974569650501 0.27668249258347405 0.0015184142921118823 0.99291028414323312 0.0057890910329711498 0.0017515552052983067 0.74965160099802186 0.0023187420290080056 0.0020788649226283224 0.99296296419344898 0.75886499028682319 0.0022778091852347681 0.0022170776033212944 0.7416145221997279 0.99520233938045943 0.023115720019775361 0.72832785745859718 0.0020822453060550914 0.0036162916072035754 0.0010858041016097513 0.0066272796772886581 0.27731931715551017 0.002280532731910053 0.00076374352188869816 0.74061667266834563 0.99974036613620398 0.0033058957753151008 0.0017829744327005528 0.26937316700803238 0.00073468071029560416 0.0039300779897312108 0.010694613886629983 0.0016833149116763486 0.0019567775737081468 0.0060770860870802707 0.97158978363654502 0.0027793959828263434 0.99969738136294417 0.013638666909498722 0.74410621051931392 0.75783265602294481 0.74255120476644054 0.0018680826779475894 0.49327345587009597 0.99485334969246875 0.74309179543019233 0.24618778083422546 0.0026792224433862389 0.74979985144794603 0.0079024548944006644 0.0063877827898700546 0.0016843053574495423 0.0060967551095114404 0.010672659200673193 0.7515763974114793 0.0017066231295226964 0.01236673073864708 0.00082657676071138059 0.28555029192153947 0.027559648857181901 0.99146425663979365 0.74861015508077766 0.0081151493504946076 0.0094061448594748819 0.74955494616173457 0.024214302182461261 0.0048413497760227096 0.75744220513643823 0.037630278615589263 0.74801501050869312 0.0027323209362418821 0.0030225965604026997 0.74469208938919995 0.0032376143005913068 0.034108735586041272 0.022009802535360778 0.028130533630241865 0.74852670479895134 0.99819941577034832 0.014129913939402933 0.23342481463772027 0.001187912334928 0.0098030301211468329 0.98726058901840053 0.027963278038679013 0.0079042785863590592 0.0026264642324155159 0.0015120729932408309 0.0033509337745156686 0.0019079032632763038 0.0028528764084945661 0.0017565195483123552 0.0013058197759918569 0.0018273034621410036 0.01116006365193129 0.0025446776047026104 0.0014921066296706724 0.00049655382584881213 0.00066955354420242448 0.75707289461077676 0.0093755806400523112 0.028545344354066665 0.0016223474829765308 0.00098299180000448226 0.0087758392305971721 0.0021924303333364053 0.25955955947188902 0.0054605869898080844 0.0036255047222635375 0.0039936339961170707 0.019446184129200225 0.99067487059066639 0.009779306174236219 0.015407691902938751 0.026920912416555566 0.0060419810417036285 0.98438763439442767 0.0032926855150365126 0.0077065098305758844 0.0026586601910689408 0.0086469939552648173 0.98073083293334917 0.01704223481050449;0.012121376301241755 0.0050424574983621183 0.016446838959631883 0.30835998966475808 0.0099248298942917548 0.26833061195993418 0.0082943529105618252 0.22282902477257996 0.023906704645385132 0.014035011612766171 0.0093936527040777689 0.15179870032986537 0.014645715281156843 0.0043357216058716539 0.8136919355287463 0.017097682549425664 0.022820387598860188 0.0070519942089616273 0.0071116934022298862 0.0065501823126184249 0.29505037447223553 0.12803107186277515 0.0066726645929908951 0.7084364647027076 0.0082731078616961745 0.24823726886651032 0.006032945255879339 0.009768464031053815 0.0097696647043402588 0.78464640128026053 0.01271086834996691 0.008894760307057473 0.0078967606825059294 0.85284264510946894 0.017017123372405903 0.016095596915031311 0.0036006849661342536 0.0088842021489066673 0.26953582861751052 0.11524000385135802 0.11639182098544706 0.008657571636132488 0.014375685149737211 0.23791579920023492 0.6141272195235139 0.19847061324651138 0.0040789154947858432 0.012335062243424766 0.80040082954471203 0.74860701180384326 0.021498208368466686 0.23122971949391963 0.0086005549803426645 0.52741241637387948 0.0074202976183391856 0.53167935392026267 0.013764858738675813 0.1200540830435352 0.0098104237839117762 0.31010511297773141 0.26959730270957405 0.0091099780114876835 0.12527750872448803 0.0053851974993405641 0.0073238209169555471 0.009072764043966404 0.0074815182904691309 0.0049041654884861502 0.0074754284114060777 0.015782209356143058 0.0074820650882554884 0.0068536448007589009 0.33683666416273267 0.0052490040152095635 0.013526662247772558 0.028062926410787122 0.0096066236192703259 0.54176828731252669 0.22390198965937147 0.02002737229777048 0.033508624526298811 0.0041501701052609188 0.50834306731875067 0.022045587989525436 0.72656958389024384 0.036257569938156285 0.0077975521839471198 0.0027665406530622016 0.011133150756234384 0.012703083910196237 0.020929220620363939 0.12781650720020077 0.0091767465481387075 0.009102073419480522 0.26273930452834277 0.0069036235112094751 0.011343605678830257 0.0082873674341479298 0.006590215117532992 0.0054130327834583233 0.36456396491765264 0.96294852379449536 0.007639068215622935 0.007260116129137897 0.0075160593418431738 0.35443711865369087 0.12334790519651823 0.013843858886837391 0.13788596054590477 0.01920637305974434 0.011000613476952239 0.0060444576069211232 0.0089972418794339246 0.11708079466656211 0.012832886653724755 0.69274455229780019 0.010230020582773848 0.26687778020473973 0.15110771441009224 0.016161113985450413 0.03153846261045725 0.0040496122132881226 0.0093629633098146082 0.0058072138301566139 0.01137738415127872 0.0066660260485414064 0.0095308041590573527 0.0065851246115780152 0.0078451062667045639 0.0065549923587667081 0.12330323846553454 0.017596316999452091 0.0060958433559672801 0.013011183845934816 0.013934320943191129 0.28028162595753375 0.0048879284113819083 0.38908394606880747 0.099620521692333611 0.11501237556889596 0.23288616815347821 0.013155206401655855 0.30933717287821372 0.11296397517653797 0.0050733388515644606 0.75081996156452868 0.0071040151400637852 0.22222890311688515 0.015123567104553209 0.0045239211222975733 0.1230967531997231 0.026457846534193603 0.016869205927556113 0.0086653014395617987 0.014906000571413527 0.11873771750659026 0.0068405587886892338 0.0069081251912604868 0.20550543916986469 0.0056717225706439328 0.0083077622539521959 0.51853802876269806 0.0096403366258764178 0.18779196314644611 0.0095080590452514963 0.021484527361361652 0.33438177851404982 0.012623187912745902 0.007160452650370879 0.21900663850694263 0.40855185596681176 0.0092192225514991667 0.0069512062240517543 0.056842801731827951 0.0035800397810799973 0.0086643878249900649 0.01428783763176707 0.014828480895512065 0.93948480534516032 0.21125624659151138 0.017174328497749851 0.0075209278374421965 0.088627609394931417 0.2580179792947761 0.5147930699320955 0.0073449380546415149 0.15602761198518503 0.0046818012181824202 0.0088984254042666616 0.027511141021345012 0.55867230010698432 0.22924937350983948 0.68145315649910532 0.0072866196468976321 0.22221492250373381 0.11435864431363488 0.75811569204509943 0.75241766082100092 0.0072583369134128018 0.0053839793111207729 0.014379647932912449 0.033628463966253602 0.16210201219780643 0.0082941865808571005 0.0034492740608235289 0.88087744949622671 0.0063099843915585471 0.76910841604614055 0.01441220195861969 0.0092485199926004603 0.011578599530473176 0.037844611611905069 0.20462166784478544 0.12906002728453542 0.73164619399199005 0.0099715652550781114 0.010196072251006745 0.0072444062182227742 0.01334457597432097 0.24918120241462352 0.74292472445514812 0.10630808449954562 0.10446831232506344 0.71688779939417402 0.0051019676016930467 0.01141365112284059 0.016614243155532709 0.17507534983302805 0.01366698874100203 0.019379296190559597 0.014200951943678521 0.011004221836394412 0.67124356076543623 0.0083739527682406677 0.014234469783692952 0.20050057361209395 0.0072879230443899119 0.019174838497240922 0.11534958590131598 0.012993104164581224 0.010709691387239012 0.45993984002898325 0.012261270016121708 0.0054634767987911011 0.014681776605353778 0.010860146556130127 0.018996756569353717 0.12175416111027805 0.0098013737642202968 0.6761135324869465 0.11572549691250771 0.010524071204770702 0.74952018499251949 0.0074872345613283802 0.61247183221455559 0.22924333928293761 0.013618859715156218 0.30381078065099432 0.58475919504992935 0.014565315230885783 0.12858692543107744 0.0078515374421532433 0.71854517705612231 0.11694449063994256 0.003784415302394479 0.0067851972379929376 0.62315967127277572 0.0082668927555974679 0.0055663651963571642 0.0065617017178081641 0.0088210835228194288 0.024003641215363809 0.0078236037031733895 0.0059439650807270933 0.12550203239264007 0.015399330713936829 0.0069532758733291903 0.0064380218683070048 0.4093537461234818 0.013397934225888372 0.56441661102602225 0.011457742648656889 0.0081858601894175004 0.017109242477554434 0.0065235668083767689 0.0065432427398134539 0.84190698200676117 0.021223330002409491 0.11833661965891942 0.012191118453908592 0.116578616628573 0.74244876695820294 0.0043348616685106702 0.010099771594602808 0.0076168696842722605 0.090474155984067828 0.012721266835498721 0.0044642508704793443 0.031606058242163171 0.040017427007544709 0.0060073083935005033 0.23403419347372387 0.3244235065681853 0.030099472529735813 0.0085963995275352215 0.12896880913890121 0.0065351767129370889 0.009639528462464823 0.12120819603669242 0.013374951817484888 0.0083023288685777422 0.011791431384298893 0.11838672671890774 0.2186356001793015 0.42347458092360224 0.0069170850747945654 0.026299020342170801 0.23282505831269756 0.011236110105078818 0.0084040806511642349 0.011217906730717106 0.67112415926936964 0.0093077236701873921 0.091560417982896561 0.0062487883977469282 0.13578563260166207 0.01121080238717506 0.0066857640731013248 0.005013675092654192 0.72202192239834451 0.091680062658632669 0.21190072437252819 0.006025759408563436 0.13180410475703255 0.0084854496011026737 0.77024262620886819 0.14791992319052361 0.31939277482226508 0.0094670423180979683 0.008225736403266069 0.44360004699543193 0.026426046019423607 0.012658056883779901 0.012208753026497465 0.22099613054915448 0.35689768173858499 0.03450208624890283 0.0072956270776184644 0.0061552289071817121 0.34181992551485257 0.016810952153074026 0.7055719934462763 0.018221718007556217 0.0069868864689755228 0.11653325541972361 0.75660720646626245 0.16872691951093097 0.023493125278047946 0.0051958383614668421 0.024233605827815204 0.044924542937116764 0.65851676540723347 0.22150766511635242 0.0049264954321406032 0.0045100718430482042 0.01118318341160204 0.011704376837276667 0.012636615801878436 0.01611844907398171 0.0080103464715243679 0.021460320728994769 0.0068506358913688319 0.0087601392870636022 0.0056469413810054476 0.0076123643922676246 0.013394144414942159 0.11346389080771108 0.32793524193990109 0.12041100340699781 0.0048473194207800689 0.0039487885460945463 0.34223237706834092 0.018773013235071211 0.12749931353604477 0.013978684673766935 0.012993910273299171 0.003498110139506377 0.011204138197790484 0.23854869987967048 0.33314655816024791 0.0096197298413311042 0.009625009022100648 0.010139991527904686 0.11380025716488361 0.0074367071419815878 0.010272131301809189 0.0058052417341982552 0.0066138871149788656 0.77629798139666029 0.022080423469488727;0.0035874461481077359 0.0026940714769508566 0.0026449503720109807 0.67112773386817348 0.00096695397460848853 0.004930194305456298 0.99328958496732223 0.012551647372255299 0.0029654327450635543 0.32384172803160222 0.0025593535957642377 0.016136465896503104 0.013954916805389683 0.0011450969680500361 0.34403261516421174 0.0068511497094869119 0.002027351837825834 0.9890567621893589 0.0003545497657177556 0.00047444155249205274 0.011554078206413337 0.0017286868092378604 0.00055174357625050136 0.0092675298221929995 0.017223833792596673 0.013906398164260928 0.004826460907400399 0.012461465572987225 0.99981369909083773 0.99766439160141807 0.032328223594899674 0.0008090227304083221 0.66141533694822674 0.017448072551252105 0.99959505536841853 0.004169014422992362 0.00080084502831495987 0.0039540188593948401 0.0026118170048496855 0.0020904383058465087 0.0051976767154856187 0.012377759771212507 0.98116206107302328 0.0048915902962878999 0.0025407386232657201 0.0014326113815388264 0.00084421754521787017 0.0005741110547634378 0.005779547287618314 0.022685410358585428 0.00040934903107135863 0.96888811862344904 0.9937024555313666 0.32587237269064584 0.0017525251622573631 0.99991623719729716 0.0013768999535871708 0.31414161559907949 0.68743483189959664 0.0014225327571365364 0.99808697039127692 0.0024564854956710784 0.0036920153727314133 0.0022578544168505889 0.0020225110291901319 0.00075446121992155915 0.99805081695386932 0.0015007666592419355 0.00088580273695046657 0.0068251039183717605 0.00022613386289259681 0.9846610953283419 0.99836082420851557 0.96689957470417798 0.0049915528503782372 0.9943637963828903 0.00095882170025973095 0.0050409867125891725 0.0093126441501252023 0.0045330202939380462 0.00069825990622032774 0.00011578256513036469 0.012340540088431412 0.00062518059521081903 0.0030886013615097213 0.012278282629720038 0.0004926768595122468 0.00049160893832554057 0.0091319634501781238 0.9996750412395613 0.019329267542020561 0.37601152079408745 0.0011234223827130986 0.0029678035242205868 0.98243734685703132 0.0066214643335645029 0.26258749139998117 0.0023238487709501534 0.00086236232742043753 0.0095516601553437691 0.00060807110796175299 0.99467481829585913 0.00030738761688625909 0.00037148403666466701 0.30016940764274713 0.015655262741436811 0.0033235598372999163 0.012397327379334197 0.0063337274721730844 0.99786080497400009 0.98933719753303195 0.0045206885596431913 0.0007304436996214556 0.99449688463036234 0.0090674375584848324 0.010156516364586428 0.0011869338877582797 0.30645453870094885 0.0051300091807409166 0.1066448279369923 0.98585957115882583 0.0022549955923431893 0.033907923899344855 0.025851267835315578 0.014343219964567897 0.0094930906268789021 0.0022295291106032189 0.0084407718057518139 0.00032759148445510392 0.0094819469737382478 0.99546587691863908 0.0022822286865571226 0.0019943531046127173 0.0017797355637631253 0.0074341607472541409 0.0020629366642837378 0.0016160461286169455 0.040490857352992349 0.0024267499879556736 0.010193895042507103 0.31153245562912352 0.0051733210037805651 0.0070879815034979943 0.99700180221351109 0.00022511976172724077 0.0014174361646567121 0.0037762859113989319 0.00017647901462165317 0.034926741238166352 0.014372144300098019 0.00060960192072977712 0.98647255978720361 0.6576260065575823 0.0091567322690232836 0.99601995921577957 0.004840569506759076 0.9965294696247553 0.0073737261991949953 0.68073289707410334 0.00015288914405124499 0.98597014062408617 0.99999617339887559 0.96645039283128242 0.32541240650046288 0.0035655140814711845 0.010899571573895539 0.005650186377659812 0.33902555308309573 0.97414200921087168 0.032758312526504359 0.9783548871402663 0.02067806817257312 0.0019739959148748765 0.0062184939805165302 0.00042539345131394372 0.96977843479123105 0.00044930133950423027 0.010586966442829422 0.99753018229303714 0.0045937768766699848 0.004824894249116982 0.0070044487773200468 0.97734720555116239 0.018742842422954986 0.032182465732075512 0.015953824772093464 0.0036728504988772473 0.00072067433025724877 0.005722511484422323 0.043459714523462506 0.016594012095767753 0.0019975788742320729 0.026990878747059466 0.67319957825131149 0.017505653052901075 0.0021773128157819483 0.32648593618557104 0.039577065190670731 0.014074710583216131 0.0021160586269386404 0.99485394580600195 0.99770257525543404 0.019678382504224851 0.00024063512190729012 0.010267580897638432 0.32919487286923055 0.019665444728455515 0.0045197126576146255 0.01948226586678644 0.67607724830194671 0.001339289643646803 0.99997249748048767 0.0015613788749434586 0.9971806736310066 0.99980232669747449 0.0049556758641774654 0.00046572281105354042 0.015301370691621047 0.0026347689417214526 0.99806977198756619 0.0093130830275311438 0.00042242257040324725 0.0068575598727283619 0.31432064563271772 0.00035693215179022331 0.00094722026179716937 0.0053969461251679963 0.011021418746357169 0.00024673763801261704 0.02016114789307363 0.0081379291597675034 0.0071931054658414591 0.99454832604344601 0.00050013233118031725 0.9918512877118838 0.001324840996009935 0.0010862081543946856 0.99852583809824724 0.99576165274477968 0.0014980484651742638 0.0063652079363268055 0.34344669103826381 0.0020242877484170233 0.0045858371770510229 0.0022259885867987675 0.0019071622792805748 0.00036706884384153497 0.0057389554467555731 0.00058531973275714733 0.99014174081424056 0.99914441494733386 0.0019684384318398146 0.0051964887432837522 0.00010964160059469589 0.0053145290867172863 0.99954688602360831 0.0030288363227015083 0.00054049378240552141 0.0086179310821461689 0.99747937800159714 0.0041612125272475651 0.9981943485153042 0.99866771319746162 0.0030195844208945151 0.0014078213577338947 0.0039467811476515203 0.014270746776407744 0.0015043949339507453 0.00023590962220279023 0.017046023475543431 0.0008937200476158199 0.95415264286103407 0.0057428305503882705 0.66708184089420897 0.0039749543900412894 0.012220917372367478 0.0030091401914862483 0.016746043198626138 0.014931961790094674 0.97928122409703544 0.0123979221416879 0.0085232662862924011 0.002932697988096534 0.0012734744763166347 0.010093442902322274 0.010829033161939207 0.0090356349427262728 0.99954687988797275 0.66741182467741589 0.0064079798992361155 0.99749283674258349 0.00085634387609696285 0.94701931297737096 0.013418898844560932 0.025642119572317611 0.31173865105966947 0.0059799425179114084 0.00015830042586716824 0.013464835651371326 0.66555230169359758 0.016834231076092439 0.0137492789697911 0.0036734136424680158 0.0086787908361820876 0.0069404866762802905 0.00028690385286491283 0.0082121666860781074 0.010252818480380232 0.00071926345941246178 0.030350202688295594 0.010227987823881398 0.0085193929872784731 0.0032625638431270075 0.30864729791645867 0.022666181744588652 0.0021165218526928422 0.017329198212757139 0.0068653883702304618 0.001041809315448468 0.00075161424770623872 0.0035652488890398947 0.00090051778256896317 0.99931902434015207 0.020512975363332259 0.0019704661273138185 0.0057150845424319028 0.0032751089097385073 0.003869531590921153 0.002745349515449972 0.0082176478527379027 0.67102899137560457 0.99981703344973671 0.011675561122975159 0.028288005693104738 0.66817734930618822 0.0056962240786507471 0.66125591696788899 0.0043291774585649447 0.00075409818010582828 0.001765243609780092 0.0035124130160675161 0.0039686847131517426 0.999894463385538 0.98944785126657453 0.99804442999037568 0.99134994355701678 0.0043644292423605964 0.0015898629591350217 0.00026813352904327153 0.047922649049356184 0.99993479610986302 0.0038868883420240369 0.00048240010510621086 0.99446286196864642 0.022334591412486678 0.0045260005011485051 0.99797612168396421 0.0069908890067343493 0.0075015656649381314 0.97667261843082565 0.99334150352057982 0.0034646186341393812 0.73525498311439508 0.98111375983577864 0.66402698729749599 0.0046308400528752482 0.0042155502164719656 0.003110414706304767 0.0036567784319471424 0.0045576326614654708 0.0055769693353923816 0.98663463757604686 0.0010585701619273971 0.00016132066072860446 0.0027458724961525443 0.000158588344891146 0.032466477916935202 0.0082636109309978528 0.0011681477057119236 0.0010866992980266585 0.00074942277224793598 0.004283512811599513 0.0038608727029315667 0.00094997345712556072 0.0027612919427828495 0.0006017989654093787 0.0052482417569191695 0.023136098725222543 0.0032873520176742031 0.0050223764819378172 0.016911344065054748 0.0015399180329944268 0.013968236044621479 0.0020719353840306094 0.004111070393862418 0.0028692303947109483 0.0027330012893079484 0.034311229677968104 0.98591053773989867 0.68419989682392346;0.0072041022512406797 0.0079667190143043014 0.0088035098181896976 0.0062025547777710358 0.0099846251170152694 0.42869055508769116 0.085841280175961807 0.6101358634861469 0.17048220286664217 0.17049598242997338 0.097241227817390141 0.0099982750589623099 0.22449960454904869 0.023653125319812555 0.24759508372594316 0.29510293073603294 0.0077939149312811866 0.090699186433241458 0.16848286469452994 0.0055531837266075369 0.2953560067560424 0.18129590661330322 0.0088291678365733997 0.015634064248250971 0.10601538390621516 0.005826211169904027 0.0093039017657021439 0.0064620264028923454 0.011901477690331754 0.25837993096486783 0.0094886915055800367 0.16355186165902774 0.23549399117396352 0.010362451603253166 0.0060760566928381807 0.24543025203976992 0.094549896169189296 0.015766531153967631 0.011545280699008013 0.17145047793634893 0.56675887545969306 0.0063230744169425175 0.003783860981931445 0.24243552341544566 0.52800651834503076 0.020149581148220987 0.0050528642718277571 0.096629655133405323 0.18800472818052205 0.182654435047791 0.094240336494936155 0.0062334644012436756 0.0070858409159529241 0.018611371619005633 0.014191297696715163 0.09674378949148825 0.084415761939631406 0.092923452326728204 0.1086389657181573 0.85394561852297368 0.089652037323513845 0.16764787452735577 0.34783674036722806 0.0067147202110625272 0.17431095777689537 0.090299118274019971 0.16944666628850108 0.0047035011665943951 0.0073370305592415051 0.005500650460976011 0.026543237078653446 0.0074839829266863814 0.086524392786087576 0.10784238007120656 0.013226093836335006 0.24419015232157118 0.027491878837994206 0.010604169131930664 0.19010111004809466 0.01475351410563859 0.17884642772749965 0.0053979193451485549 0.092331576771729318 0.10510487625142181 0.56473168121401041 0.017920432983111752 0.0072277044047289454 0.17211064551076388 0.014218328468533886 0.0078088014377339018 0.16637188392828217 0.49193735439165542 0.011226307850215781 0.16562153875598862 0.14980939361685117 0.10228181451335877 0.094489185402081025 0.0092077124279489712 0.0083048842225975847 0.0080159865959740124 0.021805964464962163 0.086590254991636986 0.27005485883587915 0.33577760740815388 0.40033116162812304 0.84451319837845651 0.80337417727937854 0.008682471042815984 0.11683762157696251 0.0050207597553093928 0.34844978938768878 0.015111719254853351 0.096794788773506946 0.0052667304390032121 0.017989791461649501 0.17565172817485386 0.016583557272397111 0.019506744517654488 0.090056741692501496 0.0056664260497622902 0.1252653987919391 0.071134620533345599 0.0048096360482765381 0.085363861273465513 0.0060321004383205191 0.0088808605106224132 0.0082393890621521859 0.0057026901813474846 0.092197880196290105 0.016912386200754578 0.0085213396210048892 0.17257018750955197 0.0061423888064205852 0.091974074127266492 0.088581928785648509 0.013940392357355997 0.015226337809024791 0.092720723684145051 0.092821989380592551 0.010277460014330431 0.01792132213510712 0.0063725219574857165 0.25755239800002039 0.0061518946186971532 0.0058090613319754852 0.0053523250132815718 0.23219866562421579 0.0081302293324531181 0.24066247273787916 0.083353160055746833 0.93568565375948776 0.10144867528986176 0.0055055146225102608 0.35354679906777586 0.17112849743891645 0.3496642770853966 0.093906217427291855 0.0074348515794946382 0.088030797842381658 0.012095434532860104 0.0059862144541277668 0.015221206776454924 0.012468650105451708 0.40605644775922922 0.0096386794858352252 0.66933727026501244 0.68730754514330639 0.099806576229199029 0.0077608831946293262 0.16192582161585106 0.63648242156054624 0.5402812020861878 0.018632465735413373 0.089115599138694934 0.091436380149095872 0.090007156378961839 0.62390824342423834 0.23279289065850794 0.19779250832345743 0.35404301724135057 0.014111726607376864 0.023620038772390009 0.4798294935977383 0.20818431598662074 0.014213078897088213 0.16572101639174194 0.17363591986187496 0.088082955104672456 0.36871147704960422 0.2559396818231664 0.016697282665769898 0.2365906270304442 0.45742421367616481 0.15864276343356762 0.66472485652978941 0.62204027079067847 0.33416701997805603 0.090013053917314553 0.090122759755913606 0.0044651036489573087 0.011365861222061527 0.219448129524074 0.88012570312225669 0.011911382996664372 0.087228175160368696 0.26159408628998809 0.013314653001917091 0.09776476515635317 0.009198923890733051 0.10471182443251158 0.015567569161506548 0.018461804325951365 0.25288129373236057 0.022742473941120278 0.093509024977321623 0.0076348345307545818 0.015813376286706753 0.31395062585836842 0.098167479165999855 0.14523490128562627 0.94143511360745014 0.24986178486563745 0.10457293463023276 0.18038459717167504 0.20743815637049318 0.0090912956318905253 0.43785099724788862 0.0099485118817321735 0.0159542245019881 0.4954110190911325 0.093163019439659128 0.017833084851032546 0.94484015632060181 0.014605598373981815 0.0055173131421931074 0.15175380358074558 0.15779000235358565 0.012927967520951818 0.0056878821565179202 0.090532958565640503 0.57209596467978197 0.011299990813609752 0.011015401291149779 0.021381898099941586 0.011033414583624813 0.010742508914314863 0.63857537127834674 0.55306548673765954 0.15682622583272229 0.093846750284894573 0.084971679323702476 0.005791901363817892 0.12907906071296341 0.013184370064750534 0.18963204024082544 0.018125728286435352 0.0051070754059594388 0.076094958911805177 0.0092781872752809719 0.010147688784864464 0.015870107784992805 0.0044527703404858739 0.010369930106909375 0.53434772396775765 0.0044663594653490072 0.17398390878916109 0.91585711914301848 0.0051733381135251012 0.011244298088292361 0.0042628379981715994 0.095954931809696276 0.37060031280452255 0.0047648062102342067 0.22469505429625672 0.17333253166509033 0.018380712248651395 0.0078950000632891267 0.089541466382019444 0.0062999828237976334 0.17679170405549821 0.96927366757914246 0.32444807282919197 0.094988486271941161 0.17005717399544884 0.09666679969879638 0.012070890583034857 0.11502409514796708 0.019345067386015331 0.48285655764452795 0.091515730692050934 0.49488608399395051 0.01379475955508971 0.0050126537601953266 0.013006416443650306 0.18022354933090462 0.0098676393788874623 0.013417345107119507 0.092501342274579748 0.09987213786409585 0.091714897372763005 0.10184462541111831 0.014889484323518432 0.56430561362291509 0.49373146786954925 0.01199969177625218 0.15533933700002087 0.32717009213017595 0.26037588210894863 0.17467814046474917 0.0069987909726540176 0.13282819284032632 0.0043896933572966975 0.17162139117185296 0.24265107642481759 0.016905135112439559 0.099394352603129052 0.092035068973961798 0.8609105981853471 0.15055932837108391 0.17175244180453553 0.087075533809017627 0.010358634989231287 0.10527642915751494 0.0057551829082905185 0.17178910686585169 0.0099911443971192233 0.091369758277587546 0.044883634750741953 0.0036282042146747844 0.74867529351224105 0.0055510238718849449 0.018068875471906925 0.36113917671513374 0.18070548741368947 0.0081818207703975836 0.11434807386258292 0.014586246278900865 0.42192714771775996 0.65900123197964 0.0058924279833132203 0.5087547531863954 0.0076985065820096652 0.012667382916412338 0.085696343510240428 0.0056451908054853681 0.15284655979058792 0.017546102225393045 0.070666427456821251 0.16414628866673303 0.10957141562610238 0.19605816616355171 0.091928757636209057 0.089267637761402105 0.012308838473981195 0.085008752432598561 0.38758626382313638 0.16986216552508085 0.008528013396962332 0.0093720731675309647 0.083261842606059039 0.15049455289879757 0.26430471346895373 0.47991235344597372 0.0031753819242291486 0.0074568039466114643 0.015488075114549077 0.25361087336934562 0.011962549195494498 0.22656193219536147 0.0058408066798530302 0.0081978376919020317 0.018891008935698322 0.0046427484992818957 0.092482113897124005 0.007175428286601432 0.020208342420786826 0.15587353325451594 0.086937353196761949 0.15353161010606026 0.087582475455913023 0.093861986552854854 0.50486276245708539 0.095896779397968673 0.17270271400306228 0.011403309168727161 0.025473575420270341 0.17292195896038987 0.33620627885098076 0.010383502998115888 0.093222276217182889 0.30620921708347759 0.0069284397476151935 0.25441597023207463 0.61972739505366159 0.010680254294894189 0.0081654574874994792 0.009317306037403255 0.002922208841398319 0.082889927061451874 0.015400612971362217;0.0023051160418231446 0.0050069931647639763 0.0095815633305955574 0.01130632706352599 0.003852608020744957 0.0097970284392579488 0.0026525433157339015 0.98300214756414639 0.0058552551102181195 0.16540165417793076 0.0046001387183729975 0.0026853657805983077 0.016953797785375032 0.01355723009999074 0.14917690751834609 0.0034246331806709112 0.17763790782269046 0.0023713849674518602 0.0035469030739536445 0.33590545407862316 0.0037831419298299334 0.18924700963017771 0.32461901093488948 0.0056565302981726948 0.17346696251483593 0.0036333629673861766 0.63454462471379203 0.0046318231701346453 0.0070991521929288674 0.82114170833121403 0.0042070140436411066 0.0063529291566034552 0.15031170653138265 0.0056994119293070676 0.0099279660368462672 0.011192562093144866 0.3246502472150985 0.010744069652948746 0.0090685785023932285 0.49429651696651455 0.49486909755779734 0.0041250818599605854 0.0038015675029899141 0.014943342123980394 0.010351743006184994 0.49879165510353102 0.30409790789762753 0.9480181108266591 0.004820026994528861 0.16670212505500534 0.32534806060164928 0.0059495311592447954 0.0041696702761221931 0.0031258476672879026 0.16753678358041085 0.0070330813656622054 0.04415967842172934 0.023136281117514229 0.17959145515146396 0.0073678674308130503 0.0052848499252025312 0.45155239767504574 0.65368102158918373 0.023293661730418271 0.15221113135691863 0.012343299908247517 0.0080708037981672299 0.012773180962805865 0.62160148646689295 0.01058776253703694 0.94587495326848448 0.0073829639878426074 0.35921953901962544 0.50600172077595285 0.0061380119172882138 0.19206670672641346 0.98497809124667235 0.01043222248408515 0.0051566011296393915 0.017066519109371001 0.022267187850575351 0.020550477617643392 0.17531633300399893 0.60091404003517601 0.0094710241379336781 0.0058945162610483737 0.0055249074739290643 0.17779042145921251 0.0060548990738108167 0.0096097139465961007 0.011275373542098836 0.34807315404740724 0.65480502658529494 0.0039776713276820658 0.0053916681794206282 0.010544866821329334 0.0040329495737596128 0.18438449656223738 0.35558165413882026 0.0052584370120892536 0.01315976822318881 0.0078561158178877266 0.98626490246896359 0.15455380964509219 0.01194263846786125 0.50377308705579693 0.015048758796910804 0.0066602771633916388 0.0045730459937571629 0.0078496113053436265 0.0020206115364863305 0.0059470198078928373 0.17782906580266569 0.0039498929898712275 0.98975416376883274 0.023205471492426841 0.016538892899810483 0.76769277827691762 0.0044738554090739489 0.013546609811415285 0.0073217649010496946 0.0016265435148048401 0.0028922220176776231 0.1617540217601329 0.0036483138509390747 0.0076207658611545936 0.0041712179469350803 0.0098661789866242022 0.8161898920769517 0.52554491655167024 0.015292298098388262 0.33751244423644511 0.0043934378892648155 0.16630198502765839 0.0088746218168440603 0.0048194479918109764 0.010395049849564351 0.016416197738227868 0.17698082910190499 0.0038466221226514073 0.0040539991666906725 0.0029245680955162097 0.49480347356264726 0.0044876876587723845 0.0064369834387233383 0.0028506632476401027 0.47154386859800662 0.0068052038617173261 0.0091047838662777578 0.98819676461227457 0.53026607420363303 0.79895494874484085 0.0070948818113870148 0.0041368243424128332 0.0091389826538500994 0.76657410048183983 0.33442453716103687 0.0085573219545879414 0.0055920431462922237 0.48523529988805736 0.0073796414668564651 0.0046333166195800428 0.3385899902019206 0.0040223126646678322 0.086734339107263622 0.03525864669220128 0.037335066915786641 0.02282784009947493 0.0058244577287422574 0.0060645841040620685 0.013135755437268368 0.82966566498121852 0.16208476146990239 0.0060282277060626213 0.28224451765257663 0.32059685103630137 0.16780543504012305 0.18664871621879356 0.14927815813821649 0.49162627158766264 0.17833722436750959 0.0039429345491915156 0.33702163331677581 0.49616247306146599 0.0097426586405578979 0.15967617962439859 0.023232560462555254 0.0033162467114996519 0.33176408427736037 0.21979031259888412 0.0056262727018295353 0.015981170826803746 0.64112143393084842 0.0084960650246762946 0.53199971270211166 0.9781393043456037 0.011419402319948438 0.17426702044695766 0.0040124239571936605 0.0038291333321234808 0.0073880547901748759 0.34340254143282301 0.68534402278883688 0.19126869131250074 0.14002608255156079 0.66791965070056936 0.0062653555279687202 0.49960402284127609 0.0048578732237117032 0.017768543086085487 0.12249967817138128 0.0037212101432269355 0.30358760761865383 0.0059078391303647908 0.0052950588102802466 0.0066782651092852485 0.17752590403829399 0.011998270899056567 0.0069900533857005197 0.0080788281426121267 0.0081118120851641565 0.4920430476950971 0.34435901227872051 0.18515158491078049 0.33429253578102386 0.9436415777060545 0.15962487063715608 0.0041785502079495652 0.80187023832919424 0.005206878925068114 0.0062135262590731054 0.0059274839338000875 0.0038684491005491184 0.003575436858090697 0.16387834300987328 0.35331721046629405 0.0026821280243353516 0.01018077433881124 0.0039006138815291039 0.0026461063910630639 0.0087724105263996665 0.0083205786457707983 0.1741898561566346 0.78861545938209598 0.010149274772774747 0.0062050451701022979 0.0099634283197963663 0.34855247568164976 0.0035650231918843969 0.0044913654594497705 0.10748749041636152 0.0044960911695505357 0.00406110721226287 0.32080540007497965 0.97606773304309291 0.012578864719414478 0.019581178047325058 0.0076328202354578774 0.71015065770144048 0.15071164800644465 0.020393222617906243 0.0031818726326304997 0.003039663424155124 0.33075499885766035 0.1656640208302759 0.0076389711842457624 0.0066279691547965341 0.0031450308632723434 0.012371169120751582 0.0059447402355766767 0.0045321600884614763 0.015902167915834289 0.0039711338725397834 0.0068525274845192084 0.49869532855780258 0.0092774406084424298 0.67103254042251659 0.40908656529439369 0.16743489014327298 0.63452318796889573 0.0081002080826388378 0.0052186675100180128 0.022852823895323886 0.015728909756590661 0.9919556253391193 0.15420462589690601 0.021726809192810795 0.0031536965500364184 0.81275109613049434 0.17327332532207421 0.46511172957871072 0.16571385658354873 0.40981679719808184 0.007235185747892869 0.004860768392334798 0.0060931581821458778 0.006456476191097545 0.82765179748489293 0.01163942888020086 0.57926714502729992 0.30274609486806592 0.014006195813365962 0.35429269995955714 0.84847770910981823 0.014672129950515676 0.0089116565234421963 0.0087266263942984805 0.0035278856063432474 0.022860111295102979 0.18661689012283106 0.025448560357311294 0.0054633933171400932 0.17585795512760447 0.67247721379919068 0.0036030090799061059 0.012211915749864074 0.0027726251475440446 0.98888191330462583 0.98308762199955557 0.17424751881181946 0.0079153886066732435 0.0055315319951363181 0.18556422697428213 0.0074464225859730655 0.0082667322303927489 0.64310235946402006 0.49850192736760718 0.98545829477280322 0.0027017807398798965 0.1662680205080522 0.015670211481814317 0.016696172626997699 0.15688026737422714 0.028427551500328947 0.0057290737860552767 0.46791474439458369 0.0047799233245093206 0.96620790775264509 0.65601951931810709 0.01566985830130949 0.018266553948372531 0.007913801113023488 0.0082251588543472351 0.025534993130511639 0.0070443117731464992 0.33014983749105459 0.0070779843037581339 0.0044414596831165486 0.91698111057066012 0.011340632036648967 0.48847080841657403 0.011398019328013712 0.0062975407895105411 0.0056132873325586566 0.0083153989812999145 0.15688690457515919 0.0054023641243560946 0.010153447285521524 0.012661078800190002 0.17564857877587159 0.033209596320635325 0.0063627244446322739 0.33984225221276898 0.17294041025191328 0.0052953421047456824 0.49904199371533475 0.48487406610522027 0.0034577005655922152 0.17205998256916763 0.0033284754157988086 0.15966590814188167 0.16300703444098066 0.0090314518375054706 0.0029025235550212318 0.010398799257486942 0.30418583658904064 0.0071779957415625253 0.004596637414644872 0.17468543112362364 0.37352086888277053 0.17144733676045543 0.79967793317262459 0.0097765589213073753 0.33245809569094398 0.16999023504375588 0.0024892237923280196 0.0043657774842063204 0.32314284351813727 0.010900347228963232 0.010971916861198965 0.95482625741408822 0.17838011930211661 0.014434596838568309 0.1942374857949947 0.62944998475483649 0.0089514057024216945 0.0031037763938755185 0.0050702472702537265 0.0057942012705155428 0.3338378355688652;0.0061383708809245605 0.005858260884807941 0.0040931704099020265 0.0077112234470504432 0.0012443677802271881 0.0048142353636740102 0.0020687819247013801 0.40355563526749039 0.0049656309401531953 0.01007559791844671 0.02703201245718655 0.18208312298725343 0.56738163135624009 0.0068007965717068897 0.57909619534553158 0.0045141630198914252 0.0034912319197447591 0.0037160008114790186 0.39010812618199975 0.39862746220890199 0.38514599116870052 0.011041186742036078 0.22276333692738243 0.0041803044202323291 0.0032436799999177373 0.0052232626373264271 0.21280826510884296 0.0022058639641530345 0.0072589971114343874 0.21075362653937152 0.0041899983064480235 0.023761696660413077 0.012566940555838027 0.002876567352889871 0.0045707863913686912 0.0038371493914258854 0.024405179404784448 0.0028641378646230044 0.01053588964888664 0.20117971542612517 0.20535431906695895 0.0057777908522504817 0.0035299404434672357 0.21362995863072509 0.011895746795328843 0.20490829107671368 0.21801529654349838 0.38257587035102902 0.21686579893865177 0.010250640072059197 0.38202069510025471 0.0048827276247160357 0.0058629309139518375 0.0051160631745757875 0.0065157270896356095 0.0076900499922373557 0.98104831525199221 0.012108530304825529 0.01485236077272826 0.01612838721787135 0.39332045075983996 0.77616843722574114 0.0095346474163173125 0.0050078945256499703 0.19662713101620075 0.20538403500018015 0.0058952419770224784 0.015593097636430048 0.81368959271593511 0.013392702319343187 0.035951879647052695 0.95012769546309717 0.59139943021729457 0.011656767192055613 0.0039423863862994759 0.022495216517925694 0.97698539877794033 0.76151041512793483 0.0041750687892677975 0.02135201929218189 0.38852419612090006 0.016924137568423217 0.005873482781538401 0.047449366039994306 0.0034037357467171592 0.0089746087974004081 0.0025919232485318417 0.36151310244290785 0.1993407605736193 0.018529158230045861 0.95201072984420898 0.022191142691312421 0.59834770086793143 0.0080665055443766426 0.0045506152851584299 0.012444658188404758 0.0024175680171224291 0.011677707796463479 0.37821954394308022 0.21083813438276189 0.0076073694862985545 0.0036610788516690013 0.98666447767459931 0.0097257892615266947 0.40063302147053376 0.0092903522512148787 0.5980785860587946 0.0059099604234487757 0.0070768578114666133 0.0055656406590329733 0.0046975964879057922 0.0045331329346789554 0.026320609002366758 0.00472300133905378 0.39236520746573234 0.40100759555196197 0.015608472290358451 0.024327561588418478 0.022157233157300865 0.0058181724909872464 0.20646924928365326 0.0019978028419226916 0.003130586745266077 0.0038655602085669516 0.38109749519161779 0.0030807783837271648 0.0045703872678866612 0.21687618312406373 0.014531281138405941 0.77386869174055262 0.0037853659144819621 0.20232921956032068 0.0026416219725202278 0.021835905252555743 0.36576978765641083 0.0011048758927765772 0.1931966123116412 0.0084829708921093996 0.39487966784546968 0.0068794459028804888 0.15554559928052664 0.19214655417259957 0.97254595039173664 0.0041911978210681031 0.38760265004751648 0.0017896308255275814 0.2004628165090252 0.0074732048985731749 0.0049043069858747549 0.98969261969727129 0.012341673595271066 0.22128205018425337 0.0046860754463227353 0.3994838203949766 0.0030554618919990148 0.60320353589930209 0.0056844604761488527 0.0095274361646666712 0.0045030919052218791 0.0067211269180417338 0.0026915816057574557 0.002507310256276203 0.3979604910995399 0.0016360782740230321 0.0069742470117791708 0.95390586354105145 0.54513880382898761 0.98442159298142584 0.010976582655298096 0.006880667250232596 0.0059824896686170338 0.18493393458758978 0.0049920614969098968 0.019200774972637571 0.58853287442735558 0.013963259064511468 0.0040165914222394239 0.0066460398513169851 0.0039230265638000635 0.20712814479117295 0.19841565807886516 0.0087329993485196315 0.0048291319174829043 0.39410844565576708 0.57015335599109995 0.5956826891601974 0.58521216485088345 0.1812508302054289 0.2045074143135297 0.35944215044127376 0.0041840122421451737 0.019843752395825223 0.015840073410772152 0.013089649193453731 0.0071010774196281611 0.76124791022570271 0.0045967153361887638 0.010508686018641203 0.20776036393159247 0.0026866439415573129 0.010576595676311645 0.0072268212265471183 0.012546433438501274 0.021826921134702137 0.0068643582393497684 0.55877916507445125 0.013499638173924381 0.21081619974507054 0.0089668886069994465 0.0069663207644753214 0.42955050110486959 0.0038982162273388096 0.0074760909363830088 0.0051983899430060763 0.0046373797575559464 0.19740352966295827 0.20174997318097487 0.3868914659056108 0.18666440944407228 0.016042491446885621 0.0089786690671412716 0.96550440489958989 0.23586579528878859 0.0095841876444727712 0.55676667792849832 0.01249782096216925 0.58776654632561087 0.0047454981101878093 0.20948531970680895 0.0025787884591956961 0.013102724728806163 0.001991711989961851 0.0082798227157340181 0.0039219947043224249 0.0030250639821764761 0.0067327537509502319 0.0045887435349752752 0.0079203644605904053 0.0033865655749112061 0.77758193614655102 0.014741938110285506 0.5729644820625085 0.77961335344336469 0.2265843993907416 0.21068098864333881 0.0054339589875353235 0.020862825507242472 0.011109380504369491 0.0095263080110683084 0.0027229790720464 0.20133336370606911 0.0029610486929480236 0.0021457449086756128 0.014353951602627452 0.7937883110761369 0.38101605416544704 0.00481378252630191 0.0091360725690452522 0.79285395842467832 0.0068437369671935739 0.21932339679566748 0.0050277984955127732 0.17351615504411019 0.0068630232946957064 0.010249712245855042 0.19153632428976991 0.005001042075051889 0.19113823949058251 0.012121474660311309 0.0047094113469720649 0.19165345387202798 0.94694229649472772 0.0069646492033456275 0.0069095445266563072 0.3781351647893616 0.016662692488821577 0.74968346054650614 0.98342364729598808 0.002285827896385477 0.0045280955169473194 0.0089276946924583024 0.005293759728578467 0.36050503411314927 0.2204688330097245 0.79431194436061348 0.19992658904362842 0.57694438773104184 0.018284689212711001 0.17320953793984281 0.013200658604135454 0.007063938161826348 0.21917849729444683 0.19567294851750219 0.19578841174607295 0.38338585424384614 0.0038629887292003433 0.018712307383430195 0.98725250926973129 0.72375357483001723 0.018756865699794689 0.0083031411425730124 0.0057396584114372574 0.57264959767733936 0.76677133562900546 0.0058894064976391632 0.0041141005788965564 0.005479896844282333 0.0034077575090257538 0.21074157305932698 0.96655641496989253 0.0064405989819464205 0.011813395666587113 0.96760806301548341 0.78593018324572506 0.007517151660950433 0.190432450896792 0.0023578473235500792 0.9784430407490754 0.78355724738943522 0.39903999435081011 0.0039828683777676449 0.0052350239106220085 0.82544233030302139 0.0064766258167385194 0.013328629681599315 0.013269150862705409 0.78005880306080799 0.02590192765419197 0.0040994218616727078 0.0023128527460390034 0.7631610743382079 0.20725957063573416 0.18035479318067624 0.23790970992751098 0.0051592368528533428 0.032279484449472956 0.0033548233198740611 0.7937383762272594 0.4050731528983128 0.59568258747731151 0.0077486823710353142 0.014195791968173046 0.3827781836166182 0.95117157138083142 0.0040158540864248578 0.37867056281720568 0.011154774977019381 0.39112986512660763 0.77877330187186411 0.0067151232970996851 0.0030673083922416605 0.2133613780935073 0.57009358045129022 0.0042933300265807668 0.20074135449170322 0.007486572769916669 0.0070868051451894523 0.39672960920312528 0.77452850237691706 0.39039907661944062 0.0046665695532965906 0.01380638091813963 0.0079514785036356329 0.017426350864849116 0.0034370661664585547 0.97563419565192877 0.010920196801366628 0.0066017591109567885 0.0047590473029079606 0.003488513639796732 0.01067491314778124 0.0070823875223203162 0.01206385754652339 0.018365768591839044 0.3922688641340894 0.77484948025305944 0.13247730295494825 0.0062285832225125529 0.77277723745881566 0.20831186219786649 0.0081265385801893731 0.017123901377579864 0.022530177895609557 0.39619435738625786 0.0064025919849009282 0.0065032330910976578 0.0060592429863500687 0.0013324430820242658 0.0089113802688032956 0.0033322642287243525 0.0095187704201986599 0.0037024459353170737 0.011816204356781003 0.40448723990741559 0.02300468455117325 0.36590037869675601 0.0036859294529362134 0.015853001860340266 0.0060340852866201623 0.005907776281409427;0.003274317245026788 0.0037460033641921525 0.062743104100971323 0.50840741593321082 0.0062731252534004517 0.50864241893661533 0.014259738042484154 0.49369172971566344 0.0025951314932325916 0.0091126458437431005 0.0025271933371383702 0.023080356999614655 0.95942132502453825 0.0025218076845679883 0.98571927172370444 0.0023841360709702468 0.012353771205183252 0.0053842332135598161 0.0018255380346657809 0.010869053131021857 0.00044078947809138026 0.0063972440215501122 0.002887890093039313 0.0036134533224237574 0.43077083977290881 0.50526124140846695 0.53225889426255835 0.063922057688458378 0.0013334101803778747 0.0071845348005083413 0.0019181355530089655 0.97949616971906239 0.99503156142470495 0.46177580932995127 0.0088658345662518991 0.0060867818056442209 0.0034597012311978616 0.010758119118109866 0.012597832367823365 0.0037336449981834234 0.50320858159377257 0.012456788095883478 0.0024907406666056422 0.96626821451627642 0.010923289409554575 0.41468227248880629 0.0036569109266871725 0.019947913196311944 0.040504927626718791 0.041858288790700665 0.0056794062361701925 0.02104205547959434 0.023191801193635456 0.021977044847671493 0.0032963328669246726 0.0098806668263140187 0.0047140332009453084 0.93837418765988578 0.94314734658437183 0.010357885025328296 0.0081264776141526333 0.002814320703232817 0.0043319283307657825 0.0098265486126394713 0.0054215826688321818 0.003878986584064964 0.0039806466072683936 0.0036654292288845554 0.0020878387649233055 0.0015722510056701477 0.0040307918436116221 0.0036388307739290016 0.51057417023072293 0.038039454769639339 0.51435324946458527 0.99334089733566899 0.98678795266332431 0.99220821157623984 0.0029771641374824365 0.0028132933784479341 0.0028353877094355814 0.0016077060097030279 0.00090087147513024171 0.98048471407604942 0.0025836890309810234 0.0033601968075374486 0.0021840064637143513 0.0090380921381557032 0.0093716794579447888 0.50664543625758907 0.50146870370271313 0.96670473498119203 0.0063363106461237512 0.002380378746985315 0.4830330676786404 0.0056474896233998893 0.456584143532478 0.0024337126039745945 0.0026966995865534051 0.0027595725679591693 0.010441325560551848 0.0087876686247619507 0.012205062609120054 0.0038799347904641575 0.0046093842084456646 0.99178715063509637 0.99859126919135022 0.0016920965706037211 0.015583855766374183 0.0063721820323100111 0.48873409648891225 0.0010937743990194759 0.0086717882978236682 0.0081223795768103693 0.017362353275314289 0.0042801399597612259 0.005490082414838675 0.50900047097483669 0.004410128668389024 0.0018341811940170379 0.035488136521129282 0.0012834355974583509 0.002415955565735998 0.0032809873162451797 0.003862373707848232 0.0039224895382639034 0.0065701640089767567 0.94389320064273474 0.0035140932899242203 0.49914127572233918 0.5708499989480742 0.00095002880110744569 0.0010010056684834705 0.025457632565967871 0.0079236930582000428 0.51429163327007454 0.0065968689013449367 0.0067172861177313917 0.94823728217490788 0.0063201107629302089 0.002218612193786846 0.54430153661445591 0.013573404236243 0.0017061442696868151 0.0015936886990779232 0.016294350829951107 0.0024414496669091612 0.0038005430121925126 0.004498309686536802 0.0084592093230161473 0.019670064877395924 0.98392531361768976 0.002537060188824148 0.027817325021570465 0.96758603796686016 0.54771736501733914 0.0063956343262844776 0.0052300715287632062 0.94919404293741905 0.0031733882332861361 0.0055880504138528372 0.97415499793493865 0.0044633169685942414 0.49048338197428132 0.01164868883672085 0.9986989317377406 0.02608278397278628 0.97554375879224298 0.0051407161175416102 0.0010582655831246528 0.0014803673508793338 0.0043403129440417925 0.013613868051548794 0.98215991226214894 0.001949897014361266 0.0033390108382476439 0.0025004488603423513 0.0060767106857946675 0.54287206617453343 0.0033900004486176957 0.56132089928152396 0.0033204549912341707 0.019723061215233099 0.9846574770784311 0.0038570137227746364 0.0029859963514957816 0.47668175361370041 0.0034786597090679652 0.039410787570362774 0.0066355774875859197 0.0077615980791838294 0.0039059432338164422 0.0060364827800518661 0.020246015252159133 0.02910245723850988 0.013977045232704533 0.0093985084978532012 0.0039836840861721279 0.0020944357022483454 0.49722057751352478 0.0025472454472866995 0.021100880415321883 0.034711678482392767 0.0053390665071086363 0.0040544531117187666 0.96703122641306427 0.95556313059330278 0.029950065133398193 0.0046573995935019624 0.0033580064560345033 0.0030503183629863547 0.48990670006102505 0.4920908673873079 0.004616579373666229 0.010096891142287377 0.0045129196676511607 0.0079670911671474113 0.0026577047489359717 0.47238709166990922 0.98522645026386635 0.96513623994179665 0.0067610395899208682 0.010335457639848345 0.018677533061835113 0.0029681398612384268 0.001247999935649371 0.098922718229447176 0.49373026415106275 0.0015533608930128188 0.012554855523647501 0.005117815921558049 0.002446940872850841 0.023695485635575917 0.0025220112456960991 0.0052088498521590081 0.0012455854410583897 0.0050594835528956087 0.0083156231537916056 0.51934376975429353 0.49310105113163716 0.98413561774224956 0.0014412507199697152 0.97767832663523901 0.95204928966385616 0.018727689841374077 0.0048618126610788905 0.0024524418943325022 0.0017236588232875662 0.013403351349965408 0.013967902446193163 0.0071336700219978956 0.0025944128439238448 0.0030797364483419938 0.0065312935350575621 0.96060141772322705 0.012320540137852297 0.0071011746753451618 0.0016452764603272945 0.0013217351526835926 0.98106174702277649 0.015474228510388457 0.0041268385775899055 0.98252319199634042 0.018006353826132335 0.0040981918175311887 0.0075747576343253888 0.002577499635957394 0.0073360500436469491 0.0042624022721614802 0.50340007420098898 0.005039473563115353 0.0085527745609825356 0.4884418278606793 0.49379368296172482 0.005144782146650562 0.021383051420246293 0.0017398873164807687 0.0093417308471773521 0.0014995393980919902 0.0027021307369278938 0.99105329764838501 0.0082246192801001764 0.0032794435469738073 0.49578174092764488 0.0053199532900106037 0.0088861827525928416 0.023351366388443325 0.99856833834236658 0.016579318751543878 0.023442937711688795 0.96569595600555025 0.95496844736318209 0.94503696365024292 0.98008763398340681 0.0073807427167526789 0.0027321704526882106 0.0072498413550613587 0.013965450469297747 0.021031491813197321 0.016565947511372931 0.0094113792454923653 0.015721747804770748 0.97885062316955818 0.025558060706691466 0.0049667389145160541 0.0080341096351894126 0.0010650931266357249 0.0038462127312720563 0.0090136758373475095 0.0031573899585700164 0.0023626775686668685 0.0065520638252826446 0.98052079267750525 0.022776026657391181 0.97556445322149998 0.014234257607625141 0.98702111807173809 0.9894853869610678 0.97627924259439169 0.0040236113987314722 0.49610476629714478 0.017876965162769716 0.97734629152960439 0.0084174697453252793 0.0019156132024474165 0.49638729733479081 0.053380442631018946 0.033737913769097266 0.0026333056817382751 0.014317109201793334 0.0015616252645515769 0.99480422122538892 0.0035225078065911201 0.0050079908290667479 0.0048173603293572165 0.0022420118225064093 0.91631419331433728 0.026067171214132837 0.98613040316433809 0.0042924141436566227 0.0019419125776850151 0.95340491161871721 0.57040266524436478 0.02661548252436528 0.50024996391456655 0.0011690965348597131 0.97887143614488759 0.0043649345329681019 0.0027557242546201901 0.019228442584177621 0.027625451461498932 0.0021465135902563209 0.0087392349030669496 0.95962545710854674 0.035142747082276327 0.47813214236461782 0.0037654489789016297 0.49698713332225491 0.005586008332186353 0.0015465918301542059 0.9980296689758873 0.0033521678174532037 0.0046556638544961535 0.0011068970982356387 0.001837862987816435 0.010387381525866797 0.0042756824131386399 0.0030983200183170466 0.0017630034914456567 0.0011138560951160286 0.0024772299995800364 0.49110802578741874 0.0024583771940129406 0.0040990734896736653 0.00099478677600305272 0.0019638897831205865 0.96551551507977451 0.016537792468193747 0.006130505752580246 0.0021016307515630715 0.0022658749351401018 0.0061283511385754911 0.0035034609844991609 0.0059235894357630107 0.002738540627207933 0.0057687592904680732 0.0091278522593941491 0.96646835608617809 0.027087597053118685 0.021706777010592343 0.51297412762099814 0.52304030392137901 0.50471295296283969 0.97860253215399462 0.0089141164610018926 0.0095411816384253986 0.0021879694383448072 0.50205732255509061 0.0085682869001332644 0.4472374148169137;0.0036550511079392308 0.0021553645250238624 0.001761189898833901 0.0030640060645310907 0.0021591664097844908 0.0061029966750353205 0.0024163852114644671 0.0028257214146262793 0.69583927135785317 0.18680703843528035 0.56358679557312141 0.0017413643760703713 0.3760178739381187 0.55509951206016739 0.002455366157090954 0.0029018952114583381 0.0017600760628155487 0.24018928069040624 0.0031902691406073074 0.0060204165128081143 0.43405485473511651 0.0020602159984070144 0.99434418431021743 0.0026675929629224335 0.0034367123896846033 0.023270857174059838 0.77352150813836285 0.0019251026665654217 0.0036207046618897949 0.074708481316669392 0.0020277938909674313 0.28539358664845632 0.29517793408161719 0.003347175536786322 0.0037420062269246579 0.16721627678298603 0.58339337971438898 0.0020102297002632117 0.0030633018785303644 0.0052697881086892001 0.0042351479344101828 0.99526778181435438 0.26877851789524926 0.72524740184462322 0.0044395831896537029 0.0021834822119572443 0.62254984239713684 0.0042347961627591411 0.0045899448009843035 0.0030703928933743041 0.99034683849384975 0.35286445635576424 0.0035606388974537039 0.64716896395658607 0.003542490841489511 0.0022114665695610733 0.006028853958928655 0.0024008038849904537 0.0031809416671300882 0.0035441010311712527 0.0038314921460356854 0.0017483092974697899 0.56299147435289543 0.0011725689377453127 0.0041952659748384202 0.0050028119831591186 0.0020545001087982121 0.0039800015015299638 0.0035234753956586051 0.0023079785164393037 0.0055950293461076734 0.0088004120128496802 0.0067108944593822972 0.0042261711894493476 0.0058459685379813478 0.0039420901758950152 0.92857947838449062 0.0029029094851279196 0.98069113407621389 0.25871006166792271 0.0033064420361399774 0.77654057637963481 0.0026596983840566669 0.0040939470238415213 0.0028821049626257195 0.0021729613802478351 0.027282198397719021 0.96393326564379611 0.0017902264899570812 0.0037507183453197777 0.83221917191838735 0.003200902018266177 0.0059734184495877059 0.025177469613644574 0.0018232198285555103 0.0026601822553899397 0.0017389238827288814 0.0014457655860739716 0.002706364157588818 0.9978956356380021 0.0089925716568782614 0.0022246083414146876 0.0021360127902834668 0.98992957385755009 0.0035063593855717808 0.97645670738872081 0.0062615799344743414 0.003603791014353513 0.0025734777968775902 0.0029979750513523793 0.012417045205410433 0.0034030198504859952 0.0035465383861858109 0.0032528296616692771 0.0043649160759466864 0.0025904375820665513 0.011951656628655143 0.0024973404486188554 0.0028531170486308472 0.0023992665523427576 0.94966727863065437 0.28066705342875009 0.0018877173561471768 0.91567510077680603 0.2936722978787813 0.2552148682621439 0.0097391430016633643 0.33710842994546131 0.0043559029553279522 0.97887453517897938 0.0011755177659413521 0.0043127812606117005 0.0051991451543284186 0.0026268312281557552 0.9850131491079801 0.003783666436373837 0.0035950887818035062 0.0044592815716591417 0.2968139630015556 0.005102628070784365 0.0045209814738323617 0.9181547684457434 0.12185083213721973 0.0019390681126671074 0.94804545129488371 0.0031074425890899897 0.0035138671848079267 0.26610406352497157 0.010548394508029775 0.0038641452598391739 0.57427128170049513 0.0023667738412055084 0.023797985529200476 0.0041803757105924703 0.0027890530667992407 0.0098755175762811117 0.0085525221346427899 0.0030541279557706946 0.0047881264391284881 0.0078104345039369432 0.0019104754930470535 0.0027092170928712392 0.0037976809484442558 0.0038659658293701653 0.0076156842077110126 0.0060963264634074912 0.0028698703398516391 0.61802563833320878 0.98791577790285001 0.0011194988108620381 0.0032566210761002853 0.0034264295120887446 0.4418685376448484 0.0072234267949545568 0.0018244865139429418 0.0024472141410495024 0.0021597745294815052 0.97225261611455305 0.98614205117156606 0.71956714374080621 0.0028209204751983162 0.8031901075386163 0.0024113931735365197 0.012077365264135694 0.002976688192030784 0.0030621609315150903 0.0081614598965400083 0.0021835945041740698 0.0022679220076857174 0.0044957548266222119 0.0074133616879048757 0.016094396334721907 0.26074645495806287 0.0026855002006392916 0.0018368977524823239 0.0053058134368708359 0.0045530269035496101 0.0069948622266959156 0.0040710529402587349 0.0020980494431210479 0.0049091504363533833 0.0025009021650526098 0.0025711487091372317 0.0054801433986891267 0.17539759239366101 0.0060935797678552698 0.0029399474372530559 0.0021804703613321798 0.021539159560874377 0.0037800880024309075 0.023442081322064458 0.0021946861467026409 0.0025872404941676371 0.0020102722805539533 0.0035121576463158499 0.014552639044356479 0.0026955079598131202 0.0056489825627688431 0.0031067653803733314 0.0056690875210222477 0.0050426056404832588 0.0078042049584609455 0.0029461633929938995 0.15849730490993566 0.003114824433890048 0.007965337906748915 0.0032193275399238258 0.0023812129894992392 0.0038294745428136003 0.0030403408163858321 0.0020797924067809908 0.0023875889984718876 0.0019656590276284857 0.002266563533908516 0.0034050679881607575 0.012178898374116674 0.0097041374106679179 0.0038045096074435119 0.0025773360351975918 0.3341151608086787 0.0029142360715337969 0.0028571982031245923 0.68723816165227147 0.0067884115243042244 0.0024525460177493553 0.97637124777306705 0.0019581731496586762 0.0038171733897209314 0.003633585852866095 0.010260685343786989 0.0032533753280151534 0.0031741276349593712 0.0066163319259635771 0.93307212945838214 0.017902474933359062 0.98580969615467251 0.0025030959545700141 0.0027658492384184741 0.0065901479921123664 0.0023031626597672683 0.0057327067791449957 0.003543056172820463 0.14215462001613632 0.0018449485543854277 0.013070265843815161 0.0021068041156618537 0.0026838356941213115 0.002929108442903991 0.93925210588067853 0.0057948256508645185 0.003143836786003767 0.16919763213462877 0.84201873498831092 0.0023212368967392089 0.0078097599895019937 0.0024463891797763771 0.0036697159999012153 0.018920759809821809 0.0025541607054372284 0.0068247279866388306 0.0030761551045641305 0.0024667605398588054 0.0034412945621035162 0.37216470086870657 0.0020939122511020964 0.0020961044364801152 0.0038010734052434411 0.017203968418009037 0.97667798515796478 0.8392516164685403 0.41234525820828094 0.015536962876286744 0.0070708261423609049 0.0034020763526880615 0.002726483747381778 0.0024128792589972951 0.0022968732245761876 0.99533113918698946 0.46829887666242764 0.0045813502177068869 0.57952004899193099 0.0011205360705015663 0.0058224917542912544 0.0075949564351245778 0.002483740879732826 0.30745701033651318 0.0033331040266441239 0.0037760045463457004 0.0030936796616976665 0.018793893842003223 0.0052613274781772214 0.0012075658843176166 0.15474032025708068 0.20528123756430769 0.028548335431101642 0.0016407480810447634 0.0018570295141706343 0.54897823823158853 0.95292414956218141 0.0015703864159902861 0.0053771716478424178 0.0022236665024625043 0.98791528503131365 0.0024689035670119974 0.0032735416783428997 0.0049423817662843606 0.8496546848118629 0.0046278039658950252 0.98128756439050391 0.00353300590767567 0.0035747591616447191 0.0034347198733549896 0.0047278760227324884 0.0017041158279240923 0.002526211802182681 0.0021741237669916764 0.13859814248547581 0.016559728007874773 0.97389873934485094 0.97344610554853095 0.0030784512689110474 0.96085731688293419 0.004663748709417292 0.010415002940805383 0.0023666739362946279 0.0047044612988311786 0.0099764349286544703 0.011213213694793183 0.0040101106533176846 0.004581855704287539 0.016963698795822071 0.0040889553231868393 0.18313034710439247 0.0022293001190074463 0.0057882764128424817 0.97437621100049943 0.0040090846473308439 0.0035455018947085221 0.99621974691673132 0.99428801991491655 0.0036534813344741394 0.0043020000639358283 0.001953676173929587 0.0030501717554923639 0.0022085619090414809 0.17509683781380295 0.55087002927137241 0.0033397356834561197 0.0010937079673798205 0.0015857929898412991 0.0032138166290579021 0.0024010555361004327 0.0014328086414292489 0.0047378481819771367 0.0028172556860250855 0.003131184536974163 0.0051365810843751738 0.0054337072978219245 0.29985968603174995 0.0025884393080113214 0.96836154319323609 0.0025610980947306859 0.022699275832279226 0.0033600264404282688 0.0035881358864119613 0.0035844618415052541 0.3234650392997192 0.0017642988603322209 0.98956920939702409 0.0027777719954595924 0.0023982743243563588 0.0026822515937221726 0.002801285296346415 0.97526414921350768 0.0075344332109497578 0.0023967269673461919 0.0017541151813718161 0.17136255579632384 0.007234432501739399 0.0021046203297112385;0.77072253611346309 0.31444409298055243 0.08053551595208841 0.080350006205321622 0.080591759849182223 0.46157782357728211 0.076993237409981236 0.07846236412530487 0.083751262550475825 0.0015827301529964292 0.0027013185945992009 0.76893682176436329 0.31611047802684422 0.002354493341809418 0.07842866528868947 0.38573505088479465 0.15927161218874814 0.31313716311003553 0.0033906005504124406 0.082930331624794795 0.23092284222993625 0.0091811248946648168 0.0047351539185175127 0.15736632892835695 0.0043923778704752295 0.0039243470574241669 0.76822008191651159 0.39022639846371476 0.0042975808616004738 0.0033933289429402018 0.0049540737431101236 0.15753772963270765 0.0093054848190017476 0.23528096817952651 0.0084055312128657449 0.076062844819778208 0.0061980740480143083 0.76559962033953743 0.081305426363525959 0.76614292073731871 0.99795687184830106 0.38596420481745314 0.001477865262573573 0.46536267616098925 0.080336944059922033 0.078384793645235026 0.61301948844692578 0.0037742648222836178 0.079806426023307966 0.0019039287700529266 0.22913638308066703 0.32061026396193659 0.46750308412352037 0.31340660976785883 0.23346166141135943 0.0060124771887947511 0.0031814504346097702 0.23805797938777959 0.2327473776078039 0.080582823851219079 0.23261769106784605 0.0031427420643156635 0.68427138506580409 0.76482677397754995 0.0013440041747220443 0.081277954693029772 0.0073513751202440728 0.0042648760827126084 0.080593712271887885 0.086849840724101138 0.003369776135146657 0.00380309120307744 0.07845345905809957 0.46331952616549271 0.99754898355389343 0.39221930563290852 0.08121803428065609 0.23226518526405601 0.92359755930483645 0.0020791434974825602 0.32691695538317983 0.0024534804439918737 0.0042892241236275747 0.23029423870816401 0.004555846625551291 0.23519771068668244 0.0030614006130975603 0.39415626397262432 0.68971576669322554 0.081562444091022313 0.082007159191726436 0.92197999935175201 0.23725555442736146 0.53436605787871438 0.22836685401482085 0.0027451682906365418 0.15959464995439493 0.0025642778837022856 0.15614709126435514 0.0040009136828887517 0.23641776784376331 0.30679714802033248 0.38588803108834502 0.0029076101597744933 0.23653283905805728 0.53692203405569161 0.23089847454906684 0.0024946774807707199 0.92640561305602709 0.079780407682783994 0.45363126057609648 0.15780640794574449 0.30912700820461503 0.0027017491908702122 0.082684595956155377 0.31238280158191295 0.76667799019855687 0.38891313860816934 0.23344403628068422 0.16134599025049284 0.15930512029010707 0.0041030839182850101 0.31139812764346042 0.0039911315718188295 0.0091550251322374421 0.080098681115290699 0.23032186734940396 0.081427024888546903 0.068626299417736111 0.0017951284504494848 0.23756779869143527 0.087246689289247836 0.082432033594546913 0.30986932734883138 0.53709572364773472 0.0057899479360743753 0.54067709055139002 0.0062551985513156789 0.46885453452149317 0.0039317249606727308 0.0034417032454862303 0.0020092109219957723 0.0022535847100527977 0.31670658002752383 0.31158245249951882 0.086472561491430427 0.31251911556867867 0.23603490023271825 0.005946458063823417 0.0029866940047032506 0.082882284191307526 0.23628474213122708 0.081549294630219774 0.0021955898506648974 0.84494254785084488 0.69563693633228851 0.0015731781265648428 0.23527877619207682 0.76699353779479851 0.00453913565115527 0.0071593031594485226 0.079106021650265743 0.079998241963800856 0.082196298397570353 0.7691810110921764 0.081471823836360494 0.076983086766675632 0.0035596214029813876 0.46623727238213653 0.078103532833425693 0.15819510311373472 0.39964937579778514 0.91922655952101895 0.76992529553598987 0.53965731576828035 0.081934630411684639 0.0044425652442751339 0.2400989417108895 0.076814467705417541 0.0054325412007098306 0.30691014582182791 0.23134839947502381 0.0046711446355986929 0.0015526743055662671 0.0051747619741258433 0.54188446933607926 0.15866817967808675 0.001166595043474035 0.17075704143569156 0.0073269163189925279 0.31121095014642131 0.922050183143723 0.0065256813939568378 0.15592950790859125 0.087511944389493168 0.0028855670085892434 0.62037765304368331 0.23917628331749144 0.087535624714054475 0.16027066845953791 0.0036636821361903443 0.99267004274084858 0.0071441023501050529 0.082181614017819038 0.082389859703742796 0.0059015932904448731 0.85002563050819169 0.15882733445865438 0.0065950731352963895 0.08109125926702157 0.31398817497380371 0.625439192251106 0.69040591481082125 0.002576627219601676 0.39160128407860834 0.003047166028389336 0.23315855298146651 0.0046935563628116026 0.0022043150300737834 0.15863275880935976 0.61796076470110584 0.0018861649458634942 0.2276848030034537 0.0028171121233136727 0.31425710828976455 0.081141971389588313 0.15740163797321161 0.23238347884690613 0.0029561691394327542 0.23215144408900762 0.54431972581119026 0.39262374931855837 0.1451914183241082 0.38019057134350648 0.16115542815898001 0.23379738879206077 0.15888181757043512 0.087456845031186323 0.23670246484612487 0.082882799427028656 0.23861536858605131 0.22665936776349122 0.15717785200208262 0.0034483998573533211 0.23791477388311932 0.080049318221659588 0.77677701532851084 0.079422331666760132 0.53900220820102251 0.45520581031827312 0.074614597205903466 0.38451583743392326 0.0054468271978532819 0.0067043570032652624 0.61643670105346282 0.0052445996113462271 0.1579047330159494 0.080486499260876906 0.0054826182281979517 0.0029551177697162969 0.92290893614323399 0.15482781962599595 0.76686802460094183 0.31141535390303871 0.53065740839570186 0.15891314501617101 0.39143626551428373 0.0039730456570733486 0.84539495505323059 0.84141620179667009 0.77377968168388644 0.23712615180696175 0.99713931211352835 0.9934373689923589 0.0031430489972151775 0.081295633459910935 0.23625492572464132 0.0037161947312643424 0.082146214916625854 0.0024046593681085436 0.082970824610616417 0.15844477767784243 0.0049615539194950769 0.080623703594695922 0.081282826180264861 0.23411822604326613 0.0051645610555136221 0.23511904303314396 0.0048508196369904449 0.0049921316531128072 0.0037946520672031787 0.0043114955017418931 0.15632992369054705 0.38603030372548364 0.080675266824458483 0.23568287516574679 0.0047534446115275802 0.23112379342213835 0.0080978648824700898 0.0035363393312406607 0.0064084532344959259 0.9250716271160585 0.15896846434245621 0.0053539986497630762 0.61843623541100134 0.15669551162084064 0.078573216278526703 0.0033393939382626919 0.0042926411521362054 0.0029992217232605273 0.84609678579575598 0.92263136291999992 0.08036085992860767 0.003517862119571434 0.15956361768339886 0.0050810076111420781 0.38949353973238304 0.0036065215271470332 0.0021649151281708605 0.0045386169764014012 0.99712230182681472 0.76118422030389732 0.0032576020862872309 0.086122160996220609 0.3879524888976395 0.99540534323769436 0.0032391267931485409 0.46338987951588423 0.16413089889111271 0.080851128846709183 0.15963257880776097 0.16392815548026302 0.0067887521059124918 0.083567225448265989 0.078608432161669864 0.30736711845646592 0.1544613701925126 0.0035082684321113096 0.08406063610060735 0.30963148307323851 0.0022796948694972213 0.0025915781814478344 0.16118961056693112 0.08215057325024977 0.0022735332119132377 0.0042459935375493444 0.081539584172582585 0.0025454825996611631 0.31101788355943044 0.99698247377831439 0.23931436753759502 0.15811160672572172 0.76362937865631808 0.39266172905469721 0.30593206252073241 0.4628786570848934 0.002737776301617863 0.15948296001625534 0.0061039594343503343 0.15829733327664172 0.080391133533746342 0.69269781576932254 0.081574493908442042 0.0036263669633522042 0.15663278090524896 0.68478886562341768 0.0043042623618985924 0.45726949867714911 0.086614034919495639 0.0035780460043877411 0.0066147048989509847 0.080216017395849104 0.45309279286433823 0.1566772242926307 0.0048280155444280198 0.37342112118559473 0.620606210866819 0.76629103652493447 0.15804398118366136 0.079327547490277192 0.0027938029830350832 0.15822484215495941 0.52945838646684817 0.0062170461014261899 0.15124724615544632 0.0043337629673783767 0.081797618457555357 0.082239777789112359 0.62185427304830343 0.54178297507592721 0.62551619063898956 0.003863717217071602 0.15283286576928024 0.0014623652050711074 0.07875969301907737 0.084314437199994818 0.53957269424093024 0.23637207796562543 0.53994124878075156 0.082149460799382873;0.0033290269692043059 0.0059645464305359483 0.65419234249830061 0.99767215082412752 0.0031207328378130826 0.97219032421685492 0.28141171867479253 0.0028382680805098138 0.0099167866896492252 0.0032393851457798587 0.0052980840738591087 0.017065938367681041 0.97318413476147159 0.0064154394708678397 0.2389440882044625 0.0059563242378199181 0.26110697122662452 0.01854130624672257 0.0041787273033910303 0.0035698514835571849 0.008773911684867514 0.0046815690031320398 0.0030135865261389128 0.0078945275714281463 0.0042434914580706789 0.018780051517808361 0.015228607777286358 0.010840435332211311 0.0039178446601268622 0.0023343971528802104 0.0050459464733271699 0.0052586168451032337 0.76898050294311615 0.30158640166707451 0.0050370722507129834 0.013829109879847925 0.0042839894588328434 0.98434935134751878 0.0037273359102425467 0.0071875349000129199 0.7442537325994637 0.93233185212653025 0.0039518757067891859 0.25584319213945439 0.0093422153006480751 0.26005078093164713 0.0065401904019931666 0.24776847745650898 0.0065040354332656907 0.0067240063891396721 0.0068178897304868574 0.0069569972347926319 0.27414406980020145 0.26732991406486495 0.013157573715989865 0.99504434284892485 0.0025128650459133564 0.23776944020128316 0.96687689857360093 0.23917080916381586 0.0042339719990774254 0.0051888198573280843 0.018030296556267044 0.88226782007629256 0.0050063795101190686 0.0074922844343571614 0.0049050592690601455 0.0028047428420397459 0.0048817807282856163 0.015349892191366588 0.0079903277393968651 0.0034928554071703929 0.49508681696317186 0.97129021939741045 0.019954524769110096 0.5190111520338192 0.011489085986352733 0.014405803808576192 0.009183931945439025 0.0036250490031248615 0.26235757502380236 0.0042005276020273888 0.0028888238707780694 0.0078578575332206978 0.0057830651146274876 0.014756780138561451 0.0025477946391166467 0.0058441447327117861 0.69083640844477689 0.99170352679930551 0.0067152037652320039 0.26695058173697389 0.0028280048539686192 0.0070648744390501474 0.011846564755309182 0.011377279919347932 0.0074384436652064866 0.0031613734376700203 0.006219494016541368 0.72447974180728381 0.25836156294253687 0.017807813517607303 0.49139653373916731 0.0032030096078478018 0.004610011824002491 0.49586833005395969 0.2584854017249843 0.0053604294122102519 0.5127469939003475 0.21381583434512655 0.88492574613219865 0.02099796732939507 0.01186933703927996 0.97964297051642413 0.013093109103096249 0.0053670176072560718 0.25660628975940986 0.014502002371913202 0.006071951474827508 0.0073065892368120826 0.24545384788122757 0.0030162964500919961 0.0065760609547802435 0.0073362637807487356 0.0032620019563349865 0.0071430287592987845 0.023088332325678917 0.9637409863333064 0.0044618475686521268 0.0074295103651921312 0.99178757403418338 0.0025962461780264373 0.003912232270434233 0.46197937073431744 0.26874914530364674 0.04565579954244367 0.25864132010671947 0.0058314576943422122 0.011982113588466752 0.0087394961173068927 0.0050164828813877042 0.24234066142983055 0.024361393152129113 0.0052992548281821997 0.004890686416358243 0.0074755327371291416 0.0081190718487384132 0.0027620111907060031 0.0062457381495337116 0.012621329346762368 0.0074771829570902072 0.97112971702574669 0.0091019107050146139 0.023885144169077773 0.72899158164716482 0.96768346876218103 0.020563148781125994 0.018639391201047597 0.51150825093009922 0.0067796844057959786 0.0070820150849699795 0.278775284329281 0.0052338683242066295 0.016134979087456616 0.26100761192490229 0.49844379765030417 0.005675076264517377 0.011630684816306218 0.0099787377208798607 0.0082308525679581808 0.72203538792475874 0.0032861169224425897 0.25499398623901226 0.26165326511112319 0.0042835167735266032 0.0078804473748675871 0.0023961686927547621 0.9645528760782176 0.98599698065079999 0.0027971303860274545 0.019383362032564858 0.0045895947780868265 0.021930700080860899 0.26629162578255272 0.0034436578256556273 0.0044526093306077284 0.51230504489173578 0.006363523814777677 0.25580964506862253 0.027877889754876407 0.010845670852185805 0.25176096843351831 0.0061387232002344692 0.28343281494998879 0.2645790998548741 0.0050198246650082941 0.0059414405389287793 0.0021397196447150179 0.026576349639463412 0.64680475123869496 0.0038255230209595223 0.76945568212170357 0.0022535728747505148 0.0045495505855407065 0.0024436690945686202 0.006255258492684896 0.52427344432771461 0.013868111199644631 0.0035789247473643772 0.0061027629964489245 0.0033027880949235912 0.04373361204900926 0.0075032928925835348 0.010165530742848027 0.26129758977308942 0.0079450035960836694 0.0020509585021375883 0.23708235619108747 0.0047539514910331154 0.97872623745948784 0.50547565292242702 0.0030161469439914071 0.022210983936862758 0.031284742520667513 0.0041341478720038228 0.028515843846663304 0.2581352906768668 0.27630105368923114 0.0084804951253920381 0.029793875634291513 0.26463681250091364 0.73226768315354396 0.26524744746490386 0.01371230622164539 0.74960608805000661 0.002123751142787191 0.0037362866735122799 0.29338008800029552 0.0089371651268683981 0.25431390219758604 0.76717056266026318 0.0088127117209263056 0.0024659766414256374 0.016985463102791077 0.002858854644667265 0.0032727176013969198 0.0030288097964302034 0.0035067222549896434 0.72754717164202387 0.26703149378457969 0.0065012585631044313 0.0069044538724407824 0.011887602049459515 0.0045831416145753695 0.028264018535351203 0.0066592141978267187 0.48873521347054927 0.0071763236101276663 0.018233403699246697 0.26218316885731091 0.25112901999673992 0.013331523762183032 0.50012900440545804 0.0044991111902425327 0.006693710644844037 0.0033653815696962396 0.0039269276203378707 0.0040237861138007836 0.25532167761431984 0.88483108905642838 0.0083723195181696231 0.96570545259397189 0.75436132821944391 0.7785705457420018 0.002986347727231576 0.0031021578512868248 0.0021889830131520275 0.004208593922642459 0.033543825218821544 0.0048863424721397649 0.50620568360996832 0.01682965036776712 0.0049592930442837711 0.0041243357256925354 0.014131524900604965 0.015310235528806317 0.0060986677883752222 0.50792307646556001 0.27492421158185881 0.28479102315986188 0.015187153326269819 0.0086096013002596346 0.013611469749242147 0.25844476481939238 0.0069088689569649911 0.014670686766534003 0.0032774255959729186 0.0056271593245533647 0.0026703779621935889 0.74833210970354302 0.0095915474036484261 0.25364256517446765 0.27695671370088409 0.94664767481875567 0.93849598518167143 0.0052417755910180216 0.0030568343966042816 0.01145816191438807 0.95337209393515832 0.72124837513772699 0.0051364287183516032 0.76279355590452635 0.010396194127791081 0.0083142638780853498 0.95422387830792443 0.2322391338747484 0.91949642225204808 0.25002210843423606 0.0077059105925157204 0.0032081154071429961 0.49365627369772058 0.026825682529878613 0.0058960570637016443 0.25398601961822814 0.0047454348755577268 0.2681365415162501 0.42281640774562346 0.72831821945267616 0.0069035712285073292 0.229946707061398 0.72120979924932571 0.51669928573100765 0.0083510180011158522 0.0030452668666164518 0.96417089286631896 0.0027711064403954204 0.50092728091972805 0.0020398323378638073 0.01300847355645203 0.24856456680762712 0.0054079868879438686 0.022798896033563387 0.50730905398944004 0.69346078816344425 0.96446227563677578 0.014558500969349415 0.011904897440423272 0.003304939594051909 0.0026021759614286424 0.25156708921732651 0.74709215135454221 0.01286393633536429 0.0062725175880572592 0.50973514636679451 0.25950510581664005 0.021822343671986842 0.0077290039257945937 0.25935248688297624 0.0022514976067721168 0.0030668630382623694 0.72859184746399919 0.0053101550734398067 0.010285427619768292 0.0070215680256180118 0.0041637234779104571 0.009116372674654245 0.00088567088830842527 0.006045652836104482 0.0038675909804302151 0.0025658563954550789 0.0053426780554960253 0.45594588779269007 0.0070670438837389833 0.0038070632911925981 0.24350075767818397 0.0032030804433359639 0.98340850896289345 0.32092169686135336 0.93304505144464622 0.0056058606789654315 0.0023439733376780392 0.006831646320819432 0.0054798204936922137 0.0078331195945839111 0.011417947194034467 0.0047358531636234776 0.0036272617075045039 0.50758162783000615 0.017737370510428736 0.72691277581678393 0.25879763146253404 0.52181936290316699 0.049249331295983759 0.0039072189773974135 0.0040324846604268116 0.95264583446382001 0.0082816156871470849 0.042844243163744369 0.50001551464894367 0.011413004333222201;0.0032711448243954167 0.0026318750785772854 0.010387436654417548 0.99107222796943217 0.00039638602374753083 0.98465788514855956 0.019345661734102983 0.0024952346025793829 0.65320830040657929 0.31957993997057943 0.00048834220191331713 0.020762873931572012 0.98344622064960097 0.3084818659429972 0.020413189596848343 0.001576802378812386 0.011195817568240821 0.015364583384117649 0.0010291879392162521 0.0029307077306370351 0.0058607772324477799 0.001645033625963992 0.0014695374737284071 0.0008693355836772406 0.0036980375357352439 0.66293892971422652 0.95366389564774368 0.006545400923555782 0.00038645364555094889 0.0012685722379437961 0.00086608250631745336 0.012874785407212291 0.33840930059781082 0.0037912430155476328 0.0011256753384686229 0.026025495339621348 0.0063185671843486767 0.33712114119337261 0.0025950868896837541 0.6560476147219243 0.66816803417446202 0.012778325759971145 0.0012698894301766731 0.0064536735496772916 0.0013036100136762914 0.0099296752548957857 0.0026442056322495211 0.01805305417641364 0.00170978918809937 0.0018957592725997445 0.010336306165703364 0.0057258694655861683 0.99778712772116129 0.98250160096144401 0.0014710638917480308 0.67055196815606477 0.0024345165658972794 0.011054444413860252 0.97908635505564567 0.0039376399830238166 0.0034851173123347213 0.0053108354423786839 0.65672666447005823 0.33411717927970075 0.008036585493226469 0.0019535483285617011 0.0033664356576907635 0.0087109007836022184 0.00059568561883334903 0.0019903164231776312 0.0040204251683543099 0.0060466512555957704 0.99469187889933408 0.99993602821294902 0.66199862110354712 0.37153410716355939 0.98019220334946122 0.007101667280488882 0.000911416918960594 0.0026514922501489099 0.00083698273959560742 0.00075153768673874837 0.00041380603460238868 0.021834739678063306 0.0029737529726482073 0.0021152200714775831 0.0021236633242848481 0.98396976324759089 0.013520158079720635 0.99302217101624057 0.6625800873513169 0.67764000155625004 0.0072830039491523762 0.0014903169333068535 0.32789434370061149 0.0019428909859043912 0.001914018460255555 0.0010542513850374533 0.00045086271608356794 0.33834589474888632 0.00044061445628405121 0.025900826958491538 0.059984455841852059 0.0012022195826619105 0.33572472358310385 0.016366591780367836 0.68274186065693332 0.00042174740793958726 0.0034335146491210906 0.010289962463283033 0.66260557392719244 0.65091789362034902 0.011491020349100165 0.67141329114548975 0.99033102017575614 0.0022395426377513428 0.0051724388456334033 0.0061294070125887017 0.0012082084916186808 0.0040097654552692201 0.99410758070412819 0.0017545968727618799 0.0015253978384970638 0.0016076888405593768 0.0016285187038515018 0.0014024544253057351 0.0047755172220260798 0.99096931954008383 0.0025148847220812631 0.648312095737264 0.98813837133623428 0.00026213205303589853 0.00053097300205751942 0.0094129945361025522 0.033355120182684508 0.65852538366760616 0.0018613002327675457 0.0011751715656495567 0.99650791555435969 0.31336558471719372 0.0022259779203598921 0.021466949022944069 0.0046867942753828114 0.0015664156453558435 0.00031910190434972761 0.0026083823970329567 0.0086273534949824291 0.00043335442788299905 0.00071972235409583046 0.012000691056649589 0.0020179758417687111 0.67657242279647145 0.0016388279634516559 0.012712721505342422 0.96900171556952253 0.99461375086699999 0.98210659212508422 0.0012079153468283258 0.98228803089687622 0.0025603381559358598 0.0042205510507245525 0.33846183287234577 0.011438257668338673 0.65266872272073395 0.0081306183850112079 0.98728449768215287 0.00079982316306189695 0.98996772661315136 0.0036120250254523026 0.00093566877250514152 0.010291131189173335 0.0029135816864652008 0.0048019685157972471 0.34535687275776694 0.0032490285154060322 0.0011506252399908394 0.0012816949917606618 0.9901919625672766 0.99735748483636377 0.0013081708973360601 0.96246116945204241 0.31603412237093292 0.67564364471587979 0.016739107171834286 0.0050941351383925765 0.0016511282728530821 0.99340344769439626 0.0034006726119822188 0.0021636212236055847 0.015645756309519726 0.029540660959744912 0.004506220792972802 0.0041032756738502239 0.33621385654964098 0.3498383815101227 0.97652405944478959 0.0010477656707721704 0.00054428388098503493 0.0039303325202522214 0.34858035607444088 0.0015938444558595956 0.32994754563051432 0.0019263051278463764 0.0013531037563207224 0.0036059983332203363 0.0057326001480159676 0.34091015926881651 0.0034444308295413207 0.0013677963274852417 0.29741617585734592 0.0027149462295051417 0.99207287994745641 0.32889176958978122 0.0015655910417987436 0.024149448065844407 0.011237450937356838 0.0033269013771645346 0.022036608249451414 0.0019501879780166283 0.028515031414903948 0.9708603968216496 0.002171706482318291 0.36917779238605136 0.64768363597183698 0.0015101312944898271 0.019283084164213551 0.3004889560187739 0.65340491293801117 0.0017989682588573825 0.99283659326997797 0.00355070331733258 0.0076002497983285273 0.034152438921239037 0.0023161369287020774 0.0098644700404815541 0.00054088605461316173 0.0018646371082825762 0.33324723512076859 0.0016521880300894611 0.35082231195472063 0.99155230269563666 0.0042329773364618625 0.025251270951348583 0.98355007874178657 0.006043275594643076 0.00071292761318063032 0.00087186577652599833 0.0010024594343976843 0.0061641298577613472 0.99809166074777311 0.004590430908396846 0.013293916070170803 0.0022070439786346409 0.0086619119246935834 0.0079200993820151607 0.0017136364498143352 0.016519479767834928 0.013870538598073523 0.32549735076376818 0.97152157867900268 0.0017228289724205512 0.0013728806522223008 0.017661910705276514 0.0013465444300188748 0.0022354635162094758 0.30665187653695686 0.00098635327721882746 0.0036746287493674206 0.0027960325590556407 0.97783364060722133 0.0033335585779219177 0.98824742132979715 0.66514868748155143 0.9991114311977044 0.002318345816907358 0.0061663427050297455 0.00093398300995564264 0.99396821336084729 0.0040997182395977475 0.0045870479907292924 0.67123914521323225 0.0070905854358093053 0.00099302259450617571 0.014254617254988285 0.98455766781567466 0.0042592960700758228 0.0017144654338580754 0.016837785723675062 0.36466442431566881 0.020822527808609718 0.0086413496253633995 0.0086754302270509419 0.98292053009158742 0.011994377323961497 0.00090291221048114973 0.00064306331771420264 0.0012252894818263389 0.025457221764284513 0.00032841196383471611 0.99959175983864557 0.97671306325497986 0.0011393680889536504 0.34148859853590158 0.011050991998380571 0.020495294966797244 0.65538324311507623 0.0079554609913728945 0.0077309445817068355 0.010507691444912776 0.013389145189986424 0.0038082242547771922 0.33728301677407863 0.9912604506793864 0.98837105117177271 0.99052930743821876 0.015398976344400763 0.014440695446541672 0.99634124721286166 0.003266829900605978 0.00070732603595399378 0.33742883186279515 0.010158621146161471 0.0051792534839001951 0.0010156591661328296 0.0021394615455967644 0.3327230971127012 0.69009697934614356 0.67856722647875833 0.0021895673436857048 0.0071214999278835607 0.012295024888783916 0.67861539146943428 0.354482042202513 0.64949776458567809 0.98510181376122175 0.31223049297188715 0.99265919199828145 0.0014940596799357011 0.38675449599939349 0.0044305554061022483 0.0012354512272417567 0.0083304488565371128 0.0097869084882810202 0.99645675433511283 0.66646445240057317 0.34620067671003818 0.013878943790855023 0.0024365317320391906 0.0015490197184530998 0.0021524821043964787 0.99367490634370403 0.0069531957281808079 0.0022717920326858158 0.99512298664027032 0.010377932991140683 0.0045974018743380378 0.0012076089545901957 0.35442182257695209 0.67402194709159269 0.0012613175108471639 0.97708533295285194 0.0043814997346316763 0.0026047502757292878 0.00079324803930145421 0.00047913805316870549 0.011209230830199262 0.0037044932971395171 0.0017073629879806713 0.00046287859840448461 0.00036345214687244162 0.00091102780290205562 0.68817734853112356 0.001608215422200676 0.0019954348569981755 0.0033034961388460713 0.0012137926939672708 0.9919702076539576 0.98364040196256419 0.33919902858681394 0.001198614794120335 0.0013500049667224334 0.002584164745227813 0.0014163144791154705 0.0012798906182997821 0.0031808729118154595 0.00092234179013887265 0.66137722044516933 0.021166759701089614 0.0066528677631488503 0.98107648606869668 0.34682925264487541 0.019472918361076196 0.67417737785887566 0.0035633232517357006 0.0012709032590674197 0.33741431764756769 0.00048718907992786772 0.98148553441212083 0.0052654649179845487 0.0024749337311907914;0.22359272880800934 0.0043573765253209652 0.9943569576162643 0.76277060767837912 0.0061450666080209064 0.24070460469385993 0.11929736415893012 0.0040605509165839949 0.020409492577626635 0.12321906182484196 0.93396393136152178 0.33314107926595504 0.25337159893736327 0.0033369256649451741 0.006664659341882052 0.0021873323154282648 0.11529401110754076 0.11366810422421608 0.011568295959977501 0.001671721037694459 0.0062093249549156349 0.1211207900675447 0.00070894521685775723 0.98306232963003648 0.0036117148613762462 0.0046225734960417351 0.0019865399328912285 0.11469427665109529 0.0074520297430763546 0.53697373077987764 0.01225414583056326 0.0058777748736129412 0.63521466956922457 0.23893321987097724 0.56305017970673465 0.20149528763767019 0.74472077610939946 0.33749939403356816 0.0041801588703207328 0.11366905181312487 0.0026848397779138519 0.46339682908818369 0.0022658506585262676 0.001020098887023439 0.0058968168070176828 0.84473511559846748 0.0015435842574750601 0.0081847479301228147 0.0032569342140576275 0.11907071310030462 0.0061103970371984674 0.11421241303203986 0.098147063624028585 0.11497264918370048 0.2375149735073965 0.11227018264717803 0.0079141793924159785 0.0023468193208876897 0.44682545742812374 0.0010873325395706662 0.11511650636205779 0.00098363288563323289 0.11555041900315309 0.0038349520092206572 0.0023820982564165482 0.11815192478997601 0.0067798468379685964 0.54418770822482732 0.11991156295311967 0.99400202796106141 0.57785574622238789 0.014439364037904101 0.11512895167470909 0.99186554385143744 0.086636400877523126 0.11730192654928132 0.0017119368983487013 0.51759993225045697 0.002366382645511241 0.0096643107651761262 0.0012388629150770461 0.97825497961265917 0.0038011488689384471 0.027063490395153645 0.0074334231412801852 0.013886612823895568 0.99626069360720093 0.0018032030421484462 0.0023733051457959691 0.11349618774756672 0.00072636864507454502 0.0049886095482652559 0.99958641465446263 0.016313759902454178 0.4564201707862578 0.0033256531413343015 0.1176302973717821 0.11103806777482426 0.0059038627342849629 0.10735838817107003 0.24070771855212278 0.77191978640667247 0.0012819471565295431 0.0011148116741091037 0.74531171513837968 0.0023875407062770378 0.00063345375257692197 0.98921246211779756 0.11641973395671222 0.35198211650792977 0.75878888240681497 0.11323731633944546 0.12611125582345664 0.0046876877254201773 0.0021860722874934395 0.0060447047717227288 0.0013239288353985965 0.0037819988606221846 0.97497280125735675 0.24619090217559458 0.092951007399944732 0.009353471574488282 0.1252373855634383 0.0014435917688642671 0.0043790748495244275 0.98772354987835964 0.0016709553961254248 0.33901437306328053 0.4628122188896388 0.12365737399713432 0.11273793626037736 0.0033881901721895188 0.024686138165149404 0.0068156889334552613 0.0012749299085333325 0.34333253929449759 0.11246437004210545 0.014441926561168827 0.34153866736403693 0.98886327538636953 0.00098234409536039082 0.0028188951610162187 0.67596085589182531 0.0022214849550101943 0.65876786605285886 0.99721143587818195 0.0016468937519001604 0.5431489021683269 0.27777742477918266 0.0024136451934929446 0.36320534403636401 0.11366189675644973 0.44874993889722581 0.00473060213455361 0.0069054865529203265 0.0045091551440736583 0.97052915939965079 0.18542332466045366 0.11971451274550034 0.010172358043282629 0.0066500193996393946 0.12399573967364735 0.11284496652597154 0.016703099769266799 0.34642933815110488 0.002403686488495765 0.0016966004091819678 0.0080223210444812475 0.0023721623384350054 0.0061122729631604518 0.13591347059912032 0.0028000717220321028 0.0078805422666129252 0.55448553835679826 0.002510602861709722 0.11380150500135512 0.10135167040727211 0.011056484506686969 0.64857947109438263 0.0041958444536756342 0.0018839196498299253 0.0050022078781082804 0.0087161228999920858 0.0022489732553533535 0.45168636117110644 0.11347301084528084 0.0038515667304400269 0.87918079377740577 0.00075002448174483365 0.0020704790002619424 0.7656362220005104 0.0015105456627783249 0.12430527809425868 0.67536921127511729 0.0015218700843801891 0.0022391397295387751 0.0042519289275368983 0.0078352750368345034 0.0019254890739007038 0.78535952926647734 0.11399125143377513 0.64516332765160256 0.0016205464885812224 0.12096011818284025 0.007924339575222171 0.12136892108377467 0.1244731335334671 0.33135994173722388 0.1128349089588284 0.54822956363091235 0.55340579060800055 0.43686931811766666 0.30589624832658047 0.0017316440039372044 0.0055917334828343296 0.013835665527907905 0.1288286281082347 0.0014711928640794667 0.006000814210344943 0.90215853770247167 0.0020154624079786595 0.0033440514050235757 0.0011367956757288209 0.0026632526815918624 0.0017206818363605038 0.0022422103964673187 0.00066651000143971677 0.77872748229432465 0.54633963991009882 0.86780830271531317 0.0021688596630982564 0.84933338558089444 0.0028362022872856843 0.98547775938499971 0.11686883970912931 0.1192727062762504 0.98474759315864668 0.0038045227989968624 0.98610702885577606 0.0034022299142683508 0.0015492934964504118 0.16559661110099605 0.11243357484084179 0.14589854994090734 0.11738095387703225 0.75016826869606146 0.011033117801110737 0.0039004430320472893 0.99647875780026807 0.12399014560074149 0.0013159585742565786 0.78075359525459587 0.79573320215253851 0.012365655459614867 0.018411861527919321 0.0042780840336123383 0.11365250528002716 0.7230898323947843 0.0062243622861614927 0.0089526873907142535 0.68574746975932033 0.012535374204596456 0.98868856135518168 0.11716873818483761 0.0017885791894560544 0.8700437068766711 0.011812234167995126 0.9822319713218739 0.0011830481695546135 0.13633449429094874 0.0049137858948137634 0.11322146164640035 0.0061465681784902172 0.003420836372050698 0.0015428761229270731 0.0043907304946112155 0.0021562165595015929 0.012171054069111363 0.98772269306796523 0.56903159872289055 0.0027993227882263747 0.0022704460776776228 0.0015781477930547389 0.00096688585367837789 0.0010139248435320385 0.12732712984764347 0.011792595582331894 0.0034160097032589188 0.12234553766765668 0.0043939137365828895 0.014869334822601984 0.65357899305566503 0.11552144496420014 0.13073400094709134 0.010851577903175402 0.010677891494646282 0.21968363802880489 0.0010999111376897551 0.48237840881308741 0.43611793389679054 0.0024113945905406484 0.013282084096511732 0.0013102725624651256 0.0039643392154839847 0.019060942943551356 0.0026798730021722751 0.0083395802225999759 0.15415078804824842 0.0042957163691572939 0.0011571252433610116 0.0035291814754554755 0.11132801164677725 0.0022440042978264978 0.46182456175771863 0.010769622832740839 0.99158282110149099 0.4418095286930796 0.0011361046773670481 0.0019999075143182698 0.003289007524028797 0.0017757562026286058 0.12593970807728549 0.0012166679389706329 0.0038736620126117879 0.0062823092343063242 0.11553564135752556 0.11495881198918802 0.0036356555319582988 0.23171761815266359 0.34121551200047873 0.23662560996097143 0.001743538359072889 0.0025025625127961032 0.11803693140725913 0.0077174198521939973 0.52967285449131074 0.86527492580484555 0.0016276777436436309 0.0013398617440669165 0.0089629100771934141 0.0068516061961458622 0.0030340005022188995 0.0047029011150844227 0.11214917328656142 0.38166880470080999 0.98891691942887916 0.87258785150786822 0.0025269969911517445 0.0011787233975563706 0.0016494615363976566 0.0019433583391274363 0.1118974178471915 0.0030560430016063358 0.11637058415343458 0.0028659589789411981 0.13222295626887004 0.00079534594198998583 0.12986362023276335 0.0013508752821679818 0.0031374848325196685 0.0023948762381960022 0.11644181305013351 0.59970215390060311 0.0047815552646877282 0.74498527158930039 0.0022233096665067549 0.44548594047134149 0.003166668080395479 0.11222206609860502 0.1276536388399982 0.12569331439224318 0.11627385625814149 0.010259173636109113 0.63392129787215223 0.98744979959063206 0.002155423655830175 0.0088327661061710049 0.77350803395781542 0.0032581172248910186 0.0057618430895119803 0.0052583678198757505 0.11671746044497619 0.0054040088681670496 0.34619388511866944 0.0016575670343328742 0.34293279187807207 0.0012033369906151396 0.0026099603132113069 0.0018697098093536941 0.88205864087673957 0.0041856782346562432 0.12269284969798605 0.0036051196450221541 0.0036481208818686444 0.0018416464846203874 0.0053431616239770583 0.988654744858532 0.11877829895499822 0.0056636312378995114 0.9884967130532375;0.0077968890362353528 0.0064709004738456597 0.090966203585397254 0.58224441756465584 0.016706192759677871 0.043832835561956343 0.25827787046071299 0.0072680118231299743 0.011488896760140813 0.10237594957038841 0.0054876737974727599 0.083980486145138075 0.29831780134058128 0.02983740357614674 0.088201375602206852 0.084632962818161725 0.0076203103341229133 0.20680772297615185 0.0067066183713054561 0.0041900904564635922 0.23789369702995133 0.011396451843555888 0.0074903769584958851 0.020163282732031544 0.075241988912308516 0.009201306453725069 0.019953331974075336 0.088279982799102652 0.0076745663453584396 0.0086652718845297294 0.0079979992543432517 0.010520261144691508 0.72197239792238466 0.42857849009456112 0.0098627003217911045 0.035333283363636156 0.0061349014945773677 0.17913045003108305 0.0047353931155724683 0.0072680532665223389 0.15924017823293968 0.012958527487122836 0.0091980436698233924 0.018656327358760705 0.079418143761380885 0.093054980172849897 0.0057659665984998599 0.013338700101023837 0.0095904435873803359 0.08698851928694562 0.0056454790191428506 0.011037869383431403 0.72909320580454184 0.023919818826706615 0.02459949708754814 0.50622383784272396 0.0060162595346851229 0.02712425725976552 0.48501401799479038 0.036257817601934646 0.088851758683541449 0.0074376335495340423 0.016044812120555235 0.01947658367347618 0.0088280507695784223 0.0084953248137010721 0.01043864136737991 0.087681714059122617 0.0065297221646215386 0.15163759885174616 0.010561986386990029 0.0045155520751748879 0.32900176714613727 0.82654368422188718 0.10755643882080231 0.48656110727942192 0.30643262438236801 0.088477801955913774 0.0035549217049147888 0.0080242648037476896 0.0081909469572817809 0.0037677052382687178 0.006521902721057969 0.1381603969128555 0.10427119017549064 0.0071360937755121515 0.0059284611993267768 0.007304505154568936 0.16623250748245427 0.3326498044706927 0.017463718870791307 0.015103646783812368 0.0089023806160510918 0.0072348704956390125 0.025260746754599911 0.0081147349489791593 0.012534896227661612 0.0073198292776392353 0.011959597983052827 0.16683241491763784 0.014905657424324894 0.73121124368114798 0.014436280487668913 0.013976283866804922 0.12536512922118678 0.23373061907050291 0.5449572346669419 0.0047620460360718129 0.021574872219027028 0.014748706977904464 0.14183783107637196 0.019255904982519285 0.0086231315706042679 0.33976008651293266 0.20915736241044919 0.0096226566045430999 0.011476646282861271 0.17016455693734517 0.0087376206879138784 0.0061330122611602568 0.79913742955346934 0.0052212214661958509 0.0068153002303342801 0.0051651600730270681 0.0069308179163342079 0.010988525692045479 0.24384195192110752 0.33051156687876793 0.0060628558287483918 0.015507229722646855 0.37887166790544652 0.006979588021944429 0.0073769599708605593 0.007016338175053957 0.010663306103574724 0.09985891631251255 0.0064814194896014215 0.089534838615239185 0.21222810016621019 0.018848634561161849 0.012022237490515531 0.092520015221593574 0.018182438797480587 0.006350126746299093 0.0039369313986614305 0.16419662251098802 0.006225679156487151 0.0039495435433903178 0.011634909768556802 0.23674190384945426 0.016301332646000005 0.25594110993713054 0.015990333932096888 0.56672169064716782 0.71719486678971345 0.44620856586305024 0.71727767108620366 0.1676686805751087 0.5548526460842691 0.0055541298255982396 0.015957546804366854 0.51252797545126827 0.013331038215814859 0.49846765395153736 0.01209792639248917 0.56535722158007629 0.0069650089246627266 0.02322857386633137 0.0056358901918640205 0.012851430151945193 0.33170733299021971 0.0060855169265875246 0.0093176381229570001 0.095476261987791022 0.0063657066010717233 0.011381855663089201 0.0061933497171401805 0.20047876334783493 0.59241349476330663 0.0049245020113278734 0.31141683490184968 0.019505818178176332 0.6533362419542299 0.66907116759123064 0.0061524899569036003 0.00586389412304555 0.1093685586039838 0.0090699385311230358 0.022999696803613176 0.23641529805984346 0.41369210649989935 0.0037770929018693185 0.16756979303357655 0.58056275688547732 0.29130109910716706 0.012882057914758785 0.086378847004594014 0.021313941911059585 0.23750454748331479 0.019773015835603432 0.0085457915305992005 0.10930039427214958 0.070078463358335411 0.006953611297426639 0.014852750832442058 0.068684279542381849 0.40453951388271997 0.087886887092294974 0.0048222985486466299 0.10101559127692449 0.0075459990856420137 0.46342765483950943 0.0090899056372912793 0.017160712674969023 0.63181118430239736 0.010385621198008481 0.025010709032071397 0.38525665119152253 0.017209601172418248 0.30292198081602084 0.18216155286327895 0.0055622667709306775 0.20254037216488216 0.033630604798521563 0.0026640518870500035 0.24589896518797283 0.014067436967217694 0.096303611053533217 0.0073876264879678272 0.64329817074648843 0.0066692424549432442 0.2563215183984312 0.88435408549587469 0.0052176524488787776 0.26003345179990522 0.0075382507026666755 0.0058556246420774132 0.305818441761329 0.015406656011374739 0.0072587238144819479 0.067060176818523221 0.010177288098129528 0.012514480769548383 0.35543742577250304 0.068721255354050353 0.0060205958186908626 0.0045089506397165951 0.086471264896310324 0.01595892717539716 0.74264500735639449 0.012805278543080735 0.37511473457802869 0.094272979403178678 0.0057816612070966987 0.02266447037311722 0.008927159085917586 0.0098159131725934594 0.25867620214446008 0.078284987294211419 0.16851499280837509 0.0037625170766973975 0.18415565206600873 0.23742988598129305 0.013046039178526026 0.0041035507979878486 0.022688405721505992 0.019403932592173823 0.0092805535946102781 0.0044955388402871319 0.014805840170286511 0.0071118245071844204 0.41892463271546965 0.016070275707302899 0.70616871185181185 0.0063164477161442864 0.0084620097009732061 0.0056223535080707565 0.53232061931690822 0.0089249085859101854 0.019317466998743416 0.84447947139208646 0.2668697633856133 0.0074921851540607296 0.0059796689179339238 0.19038667973351381 0.17009421275337744 0.014789835916047583 0.25834572101123099 0.86220756965492151 0.48344096457633801 0.098486676081699198 0.092894607305476759 0.030966141453393936 0.35483538845668899 0.012435226296057946 0.0062474665264150506 0.010567328331916878 0.005168829271727452 0.0087255436348614417 0.67510881779927323 0.68678412987474158 0.0075469500025236594 0.024026259554962463 0.024429887973832998 0.18590585888945355 0.0099665338092610432 0.069505325364308146 0.3148333489520948 0.020958170120731978 0.24501485535543482 0.01056861907713424 0.093128394931449782 0.014425590430569509 0.15137001156168098 0.10814532783260054 0.0063498419754798212 0.24259886260313912 0.36301832200901107 0.072625067401066265 0.0055875814370174295 0.07334138932155107 0.16498189401572411 0.0091617609441174471 0.008151606138336414 0.0070336118884368722 0.013765506123806675 0.0090179216548571597 0.090806584502276091 0.024997659474217129 0.30101090990231372 0.26159124692707664 0.76402659987087873 0.48568088331578718 0.0072446713488895746 0.42216658514315908 0.012999192493452747 0.43010280170837012 0.0045904110040611342 0.32354718663857018 0.004480892357097083 0.012243443631081942 0.085325801818006738 0.32239195867182674 0.018447912047220242 0.28960522488730234 0.010103456906066236 0.16031363359660722 0.007138277580958587 0.0066945372275883227 0.010508286878492595 0.9633094541174414 0.082765027611141573 0.005359820436217369 0.74244358797279797 0.010288811962746138 0.013056427011247401 0.024342846043540298 0.074170922683706564 0.0070172210100619961 0.0055912205461168003 0.35066490237684939 0.0068548330624578291 0.15961476879162753 0.0049726833500309958 0.0062580983808808253 0.0060357707576560787 0.0085727921664081712 0.0087260953912332243 0.0062716566402682312 0.0037938527896820649 0.0081694526527573159 0.6111759948492097 0.0060623501552266911 0.0051704197449620138 0.032418264024742488 0.0066071972037261163 0.28864735309455314 0.34909449056314606 0.077007368072410265 0.0038843390866001894 0.0083687366161165032 0.16135399403554829 0.013068328784163341 0.0058720440306875687 0.0082618921198499111 0.0067934729076962186 0.014751446730191095 0.23813442650410871 0.0037317178581011091 0.16701427338888331 0.58441182310721262 0.016839259552355816 0.83892458116401425 0.012401191581607272 0.0061427874393389969 0.017300411538611941 0.010467134117137421 0.32085842276203902 0.079284443652854461 0.10268033916505397;0.023233729419664333 0.0082718937184211409 0.0039163716787623615 0.034593568088812178 0.01175172282108471 0.41086630535835239 0.010434149745882585 0.0040332972753777388 0.018824240993960521 0.95073207016197714 0.0075735056121919424 0.012283468255772 0.010216187406189441 0.93403599326930897 0.0093394054548060334 0.034168642672664715 0.0046758622129330941 0.81923256703418945 0.0078994179531826914 0.012016637353993555 0.12749307310251692 0.01297433509561075 0.0066093851681225824 0.21737813958891511 0.76010133945926839 0.016753942750066479 0.031505966215056073 0.008525560264944599 0.004415237134311089 0.011587415528750455 0.0076208197910668934 0.010612563022018594 0.045774114314729678 0.041195317852591347 0.0093713506234397274 0.49645442674018003 0.31154448193377543 0.0048195468103533791 0.42365721687468466 0.27541439755135866 0.025999322497180875 0.0097586679025575621 0.0044152760937023064 0.0067212583555696613 0.0054999359627238564 0.041508361885754727 0.0067508161629581632 0.27211984047767629 0.01254692298969943 0.0067742888542354383 0.011418684721479671 0.0060795420315043463 0.4180184946580332 0.012067946880451021 0.067215426768357789 0.025084877500904015 0.011621434425567775 0.021633356446051008 0.0059448582144757062 0.021019794555642984 0.0083265173915782129 0.0071693114913781737 0.2056907124855859 0.016972619213943149 0.013684100276826693 0.014443321743135075 0.0050846039519022983 0.19010392251275396 0.006246502850589598 0.010897285862202835 0.015244979961932987 0.013049771735522173 0.16589579694544357 0.71408249198661533 0.011168876828854833 0.32507064555241688 0.016422148687982547 0.010933407602796621 0.023200435105256781 0.011092464210925735 0.0071972522268579798 0.0039692542540914902 0.0021097906268960995 0.1628363106912768 0.52355648932971943 0.010084341695994124 0.0092686111971288631 0.17091930226178928 0.0059100241594139315 0.011186748668324845 0.17847930096083078 0.0080399936011176509 0.01555191853349841 0.018565366536857548 0.0057081251349724339 0.0053247127187612065 0.63190938774767758 0.0075395294903803046 0.16741839573789646 0.18823522063498446 0.3136868855881057 0.18265231191598036 0.28239298806199142 0.047064243381363884 0.96199582187624333 0.0089999000675354945 0.20945002546705704 0.0066468056015048073 0.030799824177565809 0.020434858292173494 0.78064709982299174 0.18059265604475958 0.0074831146843965714 0.17313333424477331 0.17026866891319328 0.011575058547781982 0.010098125382805506 0.011633757740550395 0.41362715658615196 0.0042111398746739886 0.0615554324065654 0.0057307083741491528 0.007051577069468116 0.010855439838098366 0.016491814781623416 0.0098636883128524998 0.0092042707028378284 0.14238750387429783 0.0070010566336000217 0.079704381786556519 0.0052440636008926744 0.0042749722592868213 0.009533720173624409 0.004254719901662902 0.47443145346064741 0.041350586510138621 0.0060289947554422064 0.010098189066937477 0.84173022506626238 0.035121831732336378 0.01024413401651415 0.0080592859088106043 0.0094781521505647934 0.0058071226122254098 0.0085104894873578567 0.011462637373366854 0.29201125340968348 0.0047338578169103104 0.022128495198730481 0.022359149171839631 0.0077781134879190694 0.022790328259691291 0.0099031726610456835 0.015634053584454757 0.9744111421601922 0.62659278700806165 0.025327041927928944 0.0050153546624284139 0.021395808142718239 0.0032794851270905936 0.01038923581652914 0.0090670163110541293 0.013098269625305296 0.9655651825660595 0.020545254005688268 0.16061769449432312 0.0095243910968846532 0.16656983468411254 0.0053869641399794908 0.15231876420757548 0.040562254815326042 0.010013759956406106 0.0047361836530479852 0.0058720140490283335 0.011514418262689854 0.0067671431754629226 0.01009697275260008 0.84216905388761987 0.03585577423229204 0.0044725665423265438 0.021796669325980695 0.87749151439526563 0.93162470309416878 0.015506054651132358 0.01005111545224259 0.0063683588237925075 0.48228056880328474 0.47662903624637598 0.0087628206069300229 0.47227675368553329 0.32486205902045384 0.004245990233127302 0.0064153032812768167 0.81933964142079363 0.018693592215789628 0.31234226859284508 0.023297500123258444 0.0046931619940669949 0.17349407585581406 0.015685411889496556 0.01060993819563244 0.034216546589445999 0.011017988999756926 0.004933867895595411 0.32360580950400875 0.010667389574520611 0.023531901024704361 0.0054833016292891628 0.0065662878910672309 0.93530565519616504 0.011589787002705935 0.33083234381180376 0.0070372184413931742 0.069186836575651445 0.33138661630567462 0.18171526450810654 0.56145861897594418 0.43687861267271655 0.010324323435127521 0.15058657788898794 0.021937803585669321 0.0077838453705703047 0.01229512955891752 0.012976751411852436 0.0066483778360960271 0.1918581760934997 0.3361131055016599 0.018667689226680516 0.060213867884098639 0.95541294063146021 0.0057210941248162549 0.028228052737559631 0.83186731917533385 0.0029039660176054631 0.18016218858606223 0.0035021816966632428 0.0043461875576269321 0.16202273143041415 0.16836847911337047 0.0040832650965993682 0.63597372291719689 0.0083831111352618802 0.14127762830869051 0.1631630225555798 0.0044223050840433084 0.0054642665333283586 0.0324369648997039 0.038852351207817354 0.0075500626101974834 0.77297516575289305 0.0096988509208800304 0.13234382052015614 0.0053027423469175642 0.014631961349403885 0.020772145423477106 0.0080084760363994621 0.0048588098925331181 0.025293150389023918 0.79760517033936706 0.012560374558689708 0.0020157072470088555 0.1816572264239345 0.0047082297049025846 0.17098855780929118 0.0052397762176931975 0.78094902885344109 0.011281408235672835 0.012923960746467811 0.0042013606269967812 0.025686166004946262 0.0066328640312643119 0.17020466126940859 0.015155201815134311 0.52194793585296995 0.0056302146784531545 0.016430047058294144 0.006826974255290697 0.81106381536293037 0.0098900576162777691 0.17001054212280181 0.03608648694507044 0.62824913799798621 0.0067320010062997607 0.018506909131523849 0.3260482551745279 0.0066784190055937942 0.010252654848108486 0.017728682670409036 0.029257650321015648 0.034496265928155731 0.01359010574188806 0.0066655469900946222 0.017463590220315888 0.013502480780031471 0.02056784698413424 0.0061875162707410846 0.016002551695703936 0.0224979794187972 0.0060129934617154631 0.22022735617185851 0.10954510172831575 0.0088973096871683924 0.027842816817566299 0.0059054965893517259 0.0079382013969467244 0.027749214718929462 0.75869786730002775 0.64251664902735206 0.0049009280982254067 0.040719697031150894 0.012716738823385341 0.014260902517450146 0.16863741816974137 0.19041852113489852 0.012387107754009891 0.0050312216507489484 0.0055569588963564655 0.17199461932491059 0.0035020966678111017 0.003650936185516008 0.013930020062864461 0.017907362910820547 0.013303944447345319 0.0079007087500711139 0.0076401255232367614 0.029999094674879892 0.014721527020822738 0.26631137024179885 0.59244107050920358 0.0082575128162090481 0.17888820680263981 0.02992895725407739 0.92055317130711733 0.17070624568274081 0.029409254600947576 0.62463945610308491 0.79323874178741893 0.0035183911054293615 0.3193287187096816 0.013117378872766306 0.021250987229620769 0.0069059478835628609 0.009135516672942514 0.44555378323080652 0.14108356115392845 0.031451210678716202 0.33046959230572232 0.0085634274936525132 0.015329568633405439 0.018077544736478761 0.17595084071881653 0.0087164052063123457 0.009427685304697557 0.45285659543075851 0.0090719158976159103 0.010553457418935409 0.029458964788321038 0.0063668921901326499 0.17302344714661544 0.00996967410166728 0.052319692778133642 0.0040939236085349683 0.01444261013451191 0.0050586563412991 0.0030136021454305771 0.22791385359144034 0.56136342380461879 0.16373088793144125 0.010918116893710484 0.0039330828182575894 0.011441332870269319 0.18781302265743527 0.007613841926391818 0.0087965493682079753 0.56037992077989851 0.0063627520283354244 0.01493555868385511 0.15529028203633716 0.0048185980907520607 0.0057921493365419713 0.01212062623413932 0.17937953416767916 0.010242466027534362 0.0071150045399786567 0.017113120264237544 0.012388653940373383 0.60488101484446977 0.029688904223134343 0.0040426564766592038 0.010293945955001917 0.27128431287369165 0.0082129264389862438 0.029472914065970059 0.013815644624582762 0.0063318429772576262 0.013788401406787752 0.0086147972306159469 0.0095686215843381519 0.18554826005046679 0.022781856800767608;0.00247583838324675 0.0013746701645505448 0.0038973888779865358 0.91732077869524709 0.00023228966671915417 0.0018989162508486201 0.0010993899281023112 0.99997112938780286 0.0036382453766680657 0.0019690139894508701 0.0057044561252369216 0.0041257894531543564 0.092469592602915429 0.014833385493937971 0.0070604373802616686 0.0013306082231391778 0.00093792388335043198 0.01469427896302903 0.095392524618260977 0.017881910919640805 0.079670344765385037 0.033076595319040031 0.99952844835382415 0.0019580914491745156 0.0016038804845987893 0.00084508277547424258 0.019703394391371139 0.0016965244405504341 0.0011657345077680261 0.0040585400624590911 0.00064609939760052739 0.0047507345927378939 0.00093334929757681474 0.0026239360785007999 0.0010569450396167334 0.030825637292250154 0.0051694394834668391 0.0043297425190040699 0.0018733006947056277 0.046021879201519025 0.99996755234999746 0.00076428050510834967 0.0082305568398193373 0.94944888380466319 0.073716670573447857 0.97653941401676159 0.99697473802098713 0.99465392808830011 0.016048749866615766 0.00089226342320749066 0.0049080022271777895 0.0014323935718591448 0.0061290147011773622 0.0041251871606573058 0.0029169839336495064 0.0020489922071927251 0.99871791617534256 0.023379214741014415 0.012394103500095901 0.076617201809078161 0.00068590525685332474 0.99969670474823702 0.0015206849965435114 0.046352622389941284 0.9949415034584923 0.010239721798651723 0.0048771002779638452 0.015388393922899 0.94668141866922584 0.0056918913354263509 0.99955496860790682 0.0046494790212520615 0.023613310897927887 0.99063090595262038 0.0028780782821220263 0.013712116527999391 0.99752085549569269 0.074500821740542122 0.0027941531943686451 0.97381535369061734 0.0054433266758803327 0.0071285369466929848 0.023630242865401045 0.99577445027507638 0.0070989305510610334 0.003734954087695602 0.0040346844533116879 0.003623410687789679 0.013837454087749945 0.013191333148610207 0.011272776717054463 0.0062448950983722551 0.99127195258693623 0.0014216232957130308 0.01097341262676621 0.91112665238232005 0.0011192138210237238 0.042958231785255707 0.82139325472887426 0.0053102173804318855 0.18146236775786562 0.00080364420239658653 0.99546949564446729 0.0014523249766639622 0.0150244533111491 0.017833359787609183 0.044013322045161507 0.0043434490637884772 0.0044775541198356509 0.0036562156873345244 0.0066567668062329222 0.97850652416970685 0.0050446148689127224 0.0027259387817445062 0.981233454456925 0.014536905803537252 0.0013448955789313911 0.95337454079095907 0.97955125612818628 0.97812728395777504 0.9393380842708916 0.00066532603515408553 0.92518071513123712 0.0043677886985194342 0.0031088051088393998 0.0079934270810460561 0.012141752560679831 0.010460495497144848 0.015108264852136316 0.020338689864292974 0.89699212336086576 0.01014739869144516 0.0014808808405186013 0.00043025835603087079 0.057736757948919248 0.0019437799682116425 0.0053229068862029275 0.0027573382825757118 0.10957482131594765 0.00065890796402862941 0.93853075011693587 0.011588484976833692 0.057452717115569596 0.0046502722300431265 0.0052575877527092901 0.0023821175312391703 0.97389933156042063 0.0066865748001875914 0.00062306068074194192 0.97652941463530185 0.94813633242249951 0.97653355692442645 0.0026308793697015749 0.087229090665497222 0.011705280183253564 0.99413712316566427 0.013191445696211416 0.0081894966198511575 0.0024949142949439902 0.0044734720358590397 0.0025274057725772664 0.0036218642506015849 0.87826108837890593 0.011966272277572548 0.011198788313717956 0.89768479646157828 0.99856955751318333 0.014732152121503283 0.90560443277140856 0.0019351756181476948 0.019124369394265317 0.0089408991270149094 0.0013057044083415823 0.0033765676990258364 0.99939390449526333 0.032655471100420497 0.0003117508945590956 0.0017022945346164484 0.00087606697244405063 0.018955970872329697 0.99803174333691713 0.0021956084062587436 0.02500816200553653 0.038129163258949432 0.008454124600858549 0.076527984308293828 0.028817050142040619 0.0050377620187517175 0.99603207074270961 0.062414313460940285 0.93720458703969001 0.020186615070170666 0.015686124033824137 0.004425664260021096 0.12300101140674469 0.96128156248300844 0.00097363611384848614 0.00066352648235780453 0.00050092006909951037 0.013499946778186283 0.016276140760477811 0.012860108702452754 0.0043683630320208401 0.0014309622602393544 0.01011313053379298 0.013279864663441408 0.98046144421900527 0.01157600636739476 0.0027352804133468521 0.0030272466260503148 0.99836225578003013 0.00056173063471928871 0.0070800093143280618 0.00038446298733161416 0.0023048611405628305 0.021456149952876504 0.019529282180352048 0.0012663299463729636 0.98192215622166212 0.016536693657913146 0.0084176252423487224 0.008442896808051846 0.99288169797760972 0.0068497574063798999 0.030207767259775253 0.95655878144371465 0.97033790052580893 0.0020793234765070032 0.054609871265500438 0.0024068497762462712 0.04487321092403318 0.0032416530361622994 0.0084024437256456364 0.020368480324766347 0.0011138340671221583 0.8953858033721096 0.0016378876543897782 0.0032796783718170171 0.00065015119637176245 0.031257035620987972 0.0042672221001988642 0.010355217644229836 0.019015475472149691 0.98575129555036334 0.0038110062554805426 0.00038789445071579797 0.0003574143785114994 0.012537544805097254 0.05991602553266151 0.0049741789373991263 0.041086707087865382 0.0016895126831477562 0.022640601030894381 0.0097639227332295478 0.99258755705489587 0.0021908862263564617 0.89761384847280334 0.0048849436255150227 0.99912398218069298 0.0091503072716659969 0.97166144795536702 0.001945887395092451 0.0019737082957530516 0.0010866159973664672 0.003580813367867777 0.001018892182671025 0.0022045017880086559 0.0019484188631527794 0.0033076800115433794 0.0031511537405983295 0.0023278683050430371 0.0044724436092531961 0.0011666357944642865 0.038635249651240731 0.99992725785148917 0.00015523516019472986 0.99411844004810312 0.99181199490305794 0.0016261443278336161 0.0038424612841455783 0.032263657169595672 0.0055930881223510698 0.99987970919792035 0.0044129099302297487 0.99975465275440623 0.97112557254279264 0.99730669144028905 0.0005486881477910089 0.04465005309654374 0.0015939567966033259 0.001723124592893646 0.98838829098170078 0.016689881089817313 0.013765310670127635 0.00642408409666186 0.0012202440025231142 0.00043230497272034085 0.16031458162741655 0.0051188700919454896 0.00040183840666721603 0.99241735976500423 0.0021283598103194897 0.021077351835914637 0.03262774386294285 0.011362121766208249 0.00076578518395276031 0.0026538107648223733 0.00083647286530079889 0.0069638152896879793 0.0077370374114115008 0.019844760247342458 0.0087972498624599715 0.93305960158396517 0.012420159141634858 0.0073229359193251187 0.0021218218731232953 0.0040449554202402725 0.9732566058127029 0.99926580652350816 0.94718369658375934 0.031642641782266528 0.0087591314204370774 0.013405170325157452 0.0094769010444000473 0.0025907003649460192 0.91328641370137753 0.010372491267114786 0.99190735631746263 0.0008634928957611921 0.0030636311729173929 0.040433317773881539 0.044459691059717948 0.0036496584887759963 0.0055672595597451371 0.0037092168890108619 0.98991589238569444 0.0010410052436212864 0.95788013890688695 0.98436936632126992 0.006045074777625707 0.0018749384421489065 0.95698124190438871 0.037215546719167332 0.99232161000289842 0.0027735017757452105 0.060377325428006695 0.0012685995746717204 0.95198583396604486 0.94748931304480599 0.0036513414735136751 0.0061749083670165046 0.018717774283068662 0.0039769346728006534 0.99127404787486162 0.020310074020424784 0.020862949721318302 0.0064945227782342019 0.010449177208458537 0.012292928992191653 0.00095252305580013886 0.96877870397120036 0.00024589726915144952 0.016770450167970234 0.98247226939517029 0.023516669465265191 0.068106575305541858 0.0025381225876830267 0.0021617195084288436 0.9162563929147145 0.0076877046260227927 0.99235555599451164 0.071163754450879746 0.0020888276786247967 0.00074711773841409359 0.98343958019044186 0.98698973452221306 0.0017244266221428523 0.0017803339787446357 0.93171490782528466 0.010357555078684509 0.0081349662741095532 0.98983036269833213 0.98968705022938142 0.010953282106559154 0.010231508508218407 0.013016328991525938 0.0051360435393959626 0.0020808419430273523 0.0010602186238631618 0.0027358705358351953 0.89821039818509874 0.0087288556277531053 0.073005197293881774 0.016632037324806205 0.073731101733936627 0.016868830218996437 0.0031517366382543184 0.0037548041102383168 0.0047669126238083503 0.0021674185960798911;0.97426044997059946 0.026693499447831823 0.0004621929190128934 0.003221472124122824 0.023238665713597235 0.00038467576075929715 0.0093047121132852871 0.024538124085199602 0.0028661073035274975 0.0020492272435002215 0.035271680303698282 0.98386923633968548 0.0082206767024186646 0.014263383444460546 0.0021632286710421213 0.00024709565376680221 0.00039542819240094676 0.98545874280576118 0.94512449141930033 0.012678428427083895 0.98094693465408445 0.0025652977782679768 0.011847840943698217 0.0019214786101217126 0.025108171862318649 0.00088271854465216907 0.00078857240391027228 0.0054478032051832282 0.00015501856346370575 0.00036376674848810707 2.2172598208354353e-05 0.99997494777015716 0.0074834441284980938 5.7996762245019922e-05 0.00020345016017630368 0.0018661201409333951 0.99999400699562402 8.8446341194867213e-05 0.024854146046180057 0.0013214505455273254 0.00028844908249005534 1.63436259379263e-05 0.00099649219095740578 0.99917063994431632 0.013392485176372459 0.014313660877878335 0.97569995153650502 0.00021697460102660537 0.009271574152104757 0.00018051857565984475 0.99518102150033638 0.00056120269462412928 0.99090992721076132 0.0081295525908246687 0.98662040343050805 1.1960396951345028e-05 0.97513919869924448 0.00081872234533506309 0.00044315554201122809 0.00032223342052257927 0.002027108114654111 0.013148541554530125 0.00037014629280058159 0.0034638537783745899 0.0043881645904105416 0.0043487882357600852 0.026044203308276805 0.0037475579370345098 0.0026403448629288501 0.032279043717331472 0.0018798399431445311 0.016607187820053004 0.0066990085543331482 0.99995877789974141 0.0049500765951392585 0.0027794708188575135 0.0069055161223475891 0.0010507602962506726 0.00067641200279356989 0.9898943097769124 0.00034409067101816038 0.99995011129427047 0.0058410662220567842 0.0043169377248365526 0.0001963005444636406 0.99668155061121566 0.98836869722882958 0.94319469715778026 0.00030730799505342821 0.0001390357885965705 0.011356246521862203 0.0026409815734332121 0.99220949449441842 0.96776440486812365 0.01410569047929844 0.0079205899746827707 0.99950139146575701 0.0028939543788876047 0.99108730417076019 0.99990842427770343 0.97973551025746097 0.00028835812568089582 0.0022290152241460776 0.00010332820907218042 0.99995252880456842 0.0049574803652264682 0.0052005811756228437 9.1199192074937842e-05 0.00022565871200815114 3.4655803947943299e-05 0.98232412445940764 0.0064560785614121647 0.9996665230782632 0.0044074498031904099 0.031817360364124393 0.99226005879760015 0.00044462760942169774 0.00011503629982082169 0.99997833778676248 0.0026386758088945859 0.99999735112265409 0.023032553222185594 0.98913065061995453 0.98680252738724228 0.0048925591819888739 0.00056897439241197117 0.00094124987290587086 0.00024923863541207787 0.074362933265840911 0.92783828581507111 0.0031575013090622975 0.00019425109817325565 0.00025965399485213463 0.0015834885308740317 0.001763680114018193 0.042101913979274104 0.0001938905469741686 0.99839830774056992 0.015868827192656924 0.999993269237618 0.00025583338567792505 0.000376295982919347 0.97101836721385215 0.00099528044257216129 0.00065011720443056869 0.99967181938773453 0.00042035529594537565 0.99950255029654256 0.00063131438924512485 0.97330556197915974 0.97900769527231724 0.0011601366804315019 0.00017040035355350621 0.95324655744194076 0.96534048707472109 0.010150843568905124 0.99970549169885536 0.00047260825438845373 0.00090541497356751328 0.01148964793801753 0.0025075407292472762 0.00060138119721109447 0.00095341625973177006 0.02738066151130409 0.99351561901254781 0.01066713871464788 0.00019759232880601981 0.00020997937670611246 6.3764128363814147e-05 0.00090539809806368561 0.011461508292114878 0.00020743327417839405 0.00048334060898404019 0.010784594086738012 0.011650057328101931 0.00074624855082987501 0.9854361739265648 0.00017452983555122829 0.0041759533833121056 0.99607201771838694 0.00070996212695084043 0.0012167699912052862 0.022039098787784723 0.96552018141285301 0.98103213942833412 0.91667751193203073 0.97025926050241851 0.98194526204629173 0.0095710898866674214 2.4912981584737033e-05 0.0026847310235394999 0.99773626728090314 0.0010626332300319665 0.99960559314586273 0.0013949454166382453 0.0062621540348860279 0.000558454131870692 0.018249707897860148 0.0012065515828229383 0.99944899771281259 0.0026763470186312271 3.935215187501657e-05 0.0037009268331052061 0.018775105001790519 0.0055239181801028572 0.00098672126587218828 0.93689523292345267 7.1164097477785743e-05 0.00018020473185848516 0.0086679934949464681 0.0070794221719522564 0.0010729794163116019 0.0069022680581597284 0.96898831665438101 0.03371706491913723 0.021420631960773855 0.0083426507600786702 0.038458677756738259 0.0010149678850456254 0.00090222702464254421 0.00096341737952773405 0.066161614819420456 0.00046426839245716837 2.5341060574239564e-05 0.0046108511646919753 0.0035993603138394247 0.99979218891059318 0.99847588174628499 0.034072365521517239 0.0055916872166481956 0.011832808015332172 0.0078064665869343464 0.0076850568997320432 0.99786774137198841 0.0010138030010248746 0.00086941435822742309 0.99942974422324249 0.00090306601191685325 0.00045473951894528465 0.00078379390640050117 0.0011624757951663597 0.059714883413875382 0.0015377794749145534 0.018008687071352236 0.00058937429122376205 0.00069058144526165123 0.00039870778002006789 0.00028556534725212619 9.7740824635045778e-05 0.99390608898066102 0.052768279979460521 0.99977594887955989 0.99903758531684117 0.99862787278566756 0.01891331675364983 0.00016970216445789642 0.0010830252498982976 0.0038435875080215535 0.0037116716568029559 6.8098107892142565e-05 0.0045417844536661065 0.013234398621847478 0.00032032800996321562 0.0013957430026450999 0.96563758706754876 0.00054279432611770118 0.00014514255213931678 0.99657222865612716 0.024892818596083405 0.017252256946733286 0.0040452314972637682 0.0041686066535316577 0.0066795095162256006 0.0005145753833447898 0.0026385430875969346 0.97405037594689059 0.99989922297958045 0.99779981915678073 0.00081891946369204265 0.025398468447358755 0.0037928200099750331 0.99891849297224367 0.00019980787564861788 0.97159774043632352 0.0015146250959030489 0.00083482630828759521 4.0032747525530942e-05 0.016204553139398625 0.047522803455284542 0.0012385600037321922 9.1228320032398533e-05 0.0019728308322055316 0.076991790330033505 0.99743342393757817 0.0050564707020279822 0.0031667828381284988 0.9796925174082638 0.9937809737349601 0.00070692485782251565 0.0036362975534423333 0.97648546578651174 0.0045454646418351449 0.00031716271544703236 0.029764010881158709 0.022596153289582605 0.019867959684354966 0.00087278728579343989 0.0060458375955166404 0.0033710689838877725 0.0054646123438893577 0.97578214130664909 0.0014303314788561435 0.0023668143977593338 0.0014061499688627992 0.0038533220691782874 0.00090677736873487043 0.98845197082611203 0.0023057147910309265 0.99978713434499722 0.010783730086483961 0.0013484908554691089 0.021086185784504264 0.00073365779117388148 0.97855306215264837 0.99801462021541365 0.0058350089464595375 0.0049216179474213207 0.000919178090555072 0.99011503792991395 0.93942079236630827 0.0031612940329558046 0.00057054153703307256 0.99464377728030351 0.0035260985976892198 0.00013506535586363524 0.007061064614946295 0.964325096830148 0.00035796185042734883 0.013458711567782172 0.0013975308603613257 0.00038891623090771222 0.0039408677821378196 0.97134805996317963 0.96339567736261122 0.0010523531856957071 0.00044802085057170116 0.032750499275066708 0.0001865896966868094 0.99731332250213511 8.9304311164944381e-05 0.0012434121239763784 0.0031244397725351293 0.0150469898226451 0.99270025785462823 0.99141123501266937 0.00027380260798131559 0.0018239391117542113 0.96017414990104355 0.011204702984634187 0.0023131377283204936 0.9639365275969547 0.00087012663228708622 0.0013463031773252527 0.00035352130012655168 0.97062303124429217 0.0075934077739324632 0.0018607233247071114 0.0013819691332533045 0.00014094317931144268 0.014640797557906662 0.0042152474522367455 0.00021152268518646243 0.0032542184685956572 0.00046236421558243054 0.96026150545772759 0.99416538547615896 0.010444538487138322 0.0019235377702895879 0.0043458266855861257 0.0053392365561950482 0.98617883708965814 0.002008784971201466 0.99925487662376644 0.0014093851192580355 0.00019774894991361438 0.73718000114146021 0.99134151686289351 0.99804653114554898 8.5827702163404694e-05 0.0018781892616943458 0.00039177071077904928 0.00022907334475856251 0.00010043827624687346 0.00057683762508186915 0.99813545731130604 0.012948636159291739 0.99216548351794454 0.99921028062432127 0.017262143250484946 0.0082263157129462087;0.12206046052312672 0.008367311333904965 0.062461416997922826 0.062104870153013518 0.0065280753928004922 0.17228615070931563 0.0046247123112669796 0.21949027737627927 0.33023210447367651 0.007277415079980515 0.055012525356658043 0.16937076356830588 0.22725140223622098 0.013558850685007937 0.057043421181666595 0.059394600488339881 0.0066889816959344317 0.064977291645776827 0.062408672040827236 0.56471310761006521 0.22910462551145425 0.0072280593604448591 0.16210761121223943 0.0063654127312847645 0.014662807788820155 0.22683504290735493 0.22251227698461379 0.0033356528503218539 0.010196049132622112 0.065517895243823371 0.0056235234275553245 0.49548989443520325 0.10328764568898932 0.06325370538705799 0.0073378595754233665 0.060269028232831492 0.32461210248297867 0.0053544376147412571 0.16673296396719323 0.10592962149250267 0.074953109376877047 0.019244445867661865 0.0055290269030297441 0.64844732816393225 0.062604496310868493 0.12363815396931799 0.53303317452027199 0.11991613357035433 0.57582141152954791 0.0083888904702211237 0.38548345954019558 0.0095081718159189688 0.32900698340591372 0.16657762616947672 0.056536912730554001 0.10977808183690825 0.44240406095304435 0.014246286823407088 0.067141729522823532 0.11200503585967264 0.016301529981836281 0.11456891724293465 0.012647291819471631 0.0074084648718699114 0.061278067131069057 0.46566742132734285 0.010642695973068923 0.30762615997638293 0.1170667312167758 0.0045039457617346099 0.58129587231591329 0.17616009282782852 0.58738286625983815 0.21457364091264028 0.0076263261918302272 0.16161906914253471 0.64086415665465291 0.23377462153754364 0.014191861218609002 0.20943008485937148 0.006281471930021142 0.4427765967895515 0.0070057611899534081 0.53236616469811859 0.057906047343512228 0.0051862152277800579 0.11591272511675667 0.79427220274441546 0.061661260614981131 0.21129996353565442 0.84572243125343727 0.3772013516614886 0.32701740519174421 0.15978899514676528 0.0046680007551763688 0.063985008373163163 0.066072374457528796 0.060129513514008075 0.064199845218091592 0.44175453302266582 0.065371463329931365 0.003405843924675224 0.16620793832740172 0.054479905032649614 0.063501288314233378 0.012897420494788066 0.38284511917102054 0.005719875382282481 0.0074973327273298931 0.017876937300929492 0.22025030257491715 0.066654310440590198 0.49046147358719266 0.16305477308875876 0.46578551065351281 0.065099613188780103 0.0099906811884282049 0.060869823782022527 0.16836776822877528 0.11689597707007036 0.52501250924110621 0.10377818334880551 0.0060597093158678032 0.23239066963497201 0.01280531379540021 0.0058431303754433155 0.06890248853760389 0.38311354125302255 0.071678811680811735 0.48913421888111386 0.11202701687407071 0.060113868730342204 0.05560426884573999 0.010657359690557158 0.52470875918185311 0.11139847245017699 0.0085450079530331128 0.20462528465861365 0.48658810801658919 0.33408038092462194 0.056528896906427671 0.011876429330674598 0.43375003747291202 0.065491745758396169 0.011113464911008439 0.1135506612400429 0.074511156933658479 0.010736770994630657 0.0088444436598127119 0.64333720222324531 0.063436819309884332 0.16084831636141025 0.0099224804910648546 0.0070068946334776519 0.042031516591063744 0.2485847226533657 0.17476028333563035 0.062590483384225556 0.0083947530432945811 0.41339842265267585 0.0076382574669113558 0.060049965127412168 0.019249555773089351 0.0087623714171388839 0.29581324041773066 0.43309926102585161 0.065292780882330759 0.63566988376927258 0.063809477923584601 0.0064467511715786494 0.050727298583007958 0.015929673672129472 0.0078189989137683394 0.49055125071082922 0.056344567427273805 0.061027386237853289 0.006626252644337559 0.1171750411597427 0.11706852823436489 0.17317974615054052 0.12422954989225485 0.01740595806547017 0.064197180751166025 0.58732420237168526 0.12319629029842494 0.067780840781187152 0.5273699942293516 0.0060949860701020441 0.0078344475136170114 0.16798902645964131 0.067063520678281266 0.44353117239710865 0.010405869448437915 0.062838660540612434 0.060321740861213835 0.13236155682927203 0.054978910602564532 0.1711067932469674 0.01045428902797488 0.061230864975457856 0.063620815407619866 0.013656685002806881 0.15038217932169376 0.062616575666641652 0.011320839705396804 0.11918342515491967 0.16734567735531752 0.050764359152456202 0.0060998085744414458 0.01220277501557775 0.068129504743534824 0.0079141816332686573 0.0090661705431945763 0.010348218084008088 0.0076119713814690312 0.065708875034339434 0.17450430821921578 0.11407044612040038 0.013633828408513215 0.052052429633048868 0.31175159550438669 0.12817272780336578 0.12230362266738991 0.1153443297380574 0.17316388989246045 0.40981139084117574 0.23473109732891423 0.11386776826955622 0.18113339704573725 0.16684320254366494 0.018922061954463845 0.0073290225155744244 0.049839085133246558 0.11203495560729347 0.060085715480931133 0.0059998594232092833 0.065022790308273765 0.0086668986326675079 0.0078641959601337824 0.011077793057209564 0.32424500083655472 0.011364095776218193 0.38240372672621509 0.5311910735467823 0.060032326430411544 0.011027398041960753 0.010962123260725341 0.11142067818500678 0.05982738284570234 0.3199024506687001 0.062274281303987433 0.16482844593824025 0.1608763974029811 0.73185486757811358 0.49510194528959356 0.068973295651970301 0.0067483358716040262 0.061970834634849856 0.32671635188773684 0.1571362384161076 0.068779450278051033 0.0060580294278635436 0.0097073904341815568 0.0074686835362483559 0.072007599282698162 0.11955373367102766 0.0085350299525880947 0.2303035201710554 0.11117540858315871 0.45026490968361393 0.0074557321444463816 0.22265288068224726 0.011622876571340517 0.11149401907197747 0.114912937113597 0.25937248551927983 0.16096410823752053 0.63769543036740839 0.0067160021676336756 0.059856338405291525 0.010299325870277916 0.063611129053693219 0.062638213476640697 0.4931330405713108 0.12645045648729675 0.0067068654042665259 0.099944040174480733 0.32370129635479145 0.012426219993600393 0.010491308646432874 0.012621501942924326 0.31837279639972582 0.59567413337893327 0.061879894148695255 0.17052833021191274 0.0076107906913598982 0.22907876841602767 0.70306346499273797 0.16050358806576853 0.30221525112151831 0.11577123547822235 0.012721504579314877 0.275747884431848 0.061653599806456919 0.0077638037426329852 0.30525878761150782 0.11447210233451419 0.061376358918231289 0.173219838219109 0.45923913077325368 0.0078457173997664963 0.0075877935324825561 0.60016996625813224 0.41041465885610201 0.26968727508869483 0.0048181758092651445 0.0052552796847237723 0.68759442532923254 0.45297721474102681 0.021084143277803183 0.010054314311167998 0.11140535190946094 0.59319020517034815 0.064501897391356755 0.10971856801632811 0.12182261043676239 0.43596142261670906 0.4766007405486552 0.018560862132224333 0.0079099591113959127 0.11880219570753264 0.25567906746185864 0.013614093090944799 0.28190584320098894 0.061012010207769272 0.16652967040150951 0.058732026781792693 0.22935885442564535 0.19069956837299001 0.36685508903346836 0.0092745126990864211 0.23853928438886582 0.11373572893414184 0.84642714236343708 0.11781807124699441 0.20636285689157743 0.37630449556085072 0.0089290626603457553 0.27583578819602045 0.01006204507812308 0.0097787913685739494 0.21950811478119364 0.5822610746487964 0.06187481138552324 0.69568520705408188 0.063366237261877262 0.060803262904806754 0.064752584236060035 0.6277841364167277 0.29124566435946547 0.22283842807791618 0.20631904375817317 0.0060836159921656479 0.17523053474677561 0.0038506967560530672 0.52196861784455084 0.011249517089107621 0.0064193870524059853 0.0090723819979226551 0.0060739210420159805 0.18155627560129997 0.06537387791245057 0.057629026030422914 0.018686879752288311 0.067123524413616617 0.12491443061274371 0.2235299424209149 0.06952640293657926 0.077389875388662752 0.22007820195189962 0.32956006059202292 0.059609291019181609 0.11976713227738252 0.008675431504183 0.11190120843345321 0.0085345174995064589 0.17398592284521314 0.0084247160508531434 0.036771931157480592 0.011178277592700583 0.01047516623976996 0.11637463297294348 0.0078995927026711352 0.11896687742266612 0.43671664402752319 0.065894819297773174 0.05819558173610008 0.75801238296624918 0.0079122542119362035 0.0078575759246680161;0.0052047659444837656 0.1126043418864453 0.0041641198827677842 0.0039960263731165175 0.0069606130095631238 0.12660704589976129 0.0027102538331930173 0.0065298673806613765 0.99080610539710023 0.0084286494445688434 0.015074021668927337 0.0044975627960548558 0.96492041384631055 0.0075050818971698456 0.0052538880919647205 0.0055665944661165492 0.0029885131362939695 0.466261606609774 0.0036058242443957516 0.22616281839015775 0.018732488078936797 0.005318199541695913 0.74865930986963869 0.0055699993006451069 0.0046353259781453139 0.84209677984581988 0.36892424730377155 0.0029167024297386277 0.0051220871731218805 0.0043967215166418779 0.0030871618718372336 0.97833265581456974 0.0031660655403460847 0.0042531912097968846 0.0070580101991406814 0.0066975406113822617 0.0074006565912424268 0.0037587509436080059 0.0042532236936588912 0.008093920804789741 0.22637282575869075 0.66893206949300521 0.12863670162466556 0.24368122613505688 0.011298100315517126 0.0054703957923172668 0.23176605818935012 0.011030341558263622 0.019814044274587789 0.002594207372802422 0.98704170104731692 0.2236778945900465 0.0053846636983920261 0.49804836175669853 0.0049362743478085797 0.0036020309935406235 0.0075959523104974841 0.0025357468576891456 0.23005270448254372 0.0087823751036550535 0.0035889647442882058 0.0025224581346345865 0.22478852325605325 0.0043421739980212632 0.0054217054085966068 0.13226551529071168 0.0025475669758540866 0.13767941015299051 0.0038925266581565717 0.002159103568890779 0.0075810484834288342 0.33996896686262457 0.012898542109812651 0.0044852924061328523 0.22291207771913149 0.0070974406287954671 0.86499502171112241 0.0068846622122313052 0.76450810923440737 0.5529850793893657 0.0033994625011845329 0.61472151653614704 0.0031325158483382978 0.013119837845591897 0.0035475690397366246 0.0027886434090914963 0.01295775139120204 0.16101698900880554 0.0020564755332282214 0.0052137416509096032 0.98925795420949214 0.3599724613393106 0.0079870807244719223 0.31922652804773133 0.0050124641546927789 0.0045615987098323787 0.10899989959288307 0.0026609367926722577 0.0039226561596136834 0.98021984187460087 0.23121385615932888 0.0024339312014214948 0.0026131715339742247 0.23555842509235891 0.0060803760684283266 0.37461188263108075 0.009766688245384467 0.0040036081953972362 0.0062776435045264443 0.005152292258544992 0.51123131735631633 0.0048480133563833534 0.0070889997864553691 0.01046068395128117 0.0096166344057754295 0.0071110138145374629 0.2251900687881575 0.0023169868962387911 0.0079846785553754733 0.0054221009835521434 0.97617823599342723 0.12772199112466201 0.003726619400755242 0.77396959295205581 0.42661396786059169 0.12242426549432137 0.33699577394543712 0.0063801795723984287 0.24651078540360591 0.65524665654997383 0.0028576202391361531 0.0064433697824358028 0.011055499361796398 0.11358172051582581 0.56321862447558313 0.0065200015546180989 0.0040553928192311461 0.0049001142078174045 0.0064294883722830452 0.015377586681011447 0.014025557432422344 0.33839644054957918 0.020745843036787372 0.0042919248330192099 0.77251336787664471 0.0041562485863990478 0.01075618721973731 0.67243378388724484 0.0026120991818402474 0.010089561727435555 0.014528182539547817 0.0041888086940952887 0.010031761398671644 0.0078825381911157254 0.0057825856544920524 0.23029857333952963 0.013759808176309335 0.0056651451673690803 0.22162543199492846 0.12354706609086463 0.11011179348070277 0.0044266628740329775 0.0068931916035655724 0.0039325374660645193 0.11707500388860595 0.36943127511628748 0.0043907880619200659 0.75761528114292465 0.22681941858422883 0.0015430327338472149 0.0043505239519570828 0.1168983902434441 0.0093987700881905112 0.55366432119849884 0.0032919223753124869 0.0024238041976268861 0.0022495154535467554 0.23315858905908923 0.22781391947259499 0.98689979365985325 0.0048031766654499444 0.14786059581397648 0.0046805924023702586 0.012246736099301457 0.0048718670304323574 0.0051114642308868422 0.0095649085595699221 0.0034414545417594676 0.0046098901560769397 0.0066963523401949963 0.0071319747808956079 0.24789862439919322 0.004735169759985493 0.0028311190194588247 0.003192445388041702 0.0063542992150820146 0.12162866145082857 0.011151518347339628 0.45279798417115402 0.0039881548769673198 0.0082253611254443446 0.0041784485170063574 0.0087849627447627223 0.0050699991195597999 0.48003223257448069 0.014971193144144877 0.0045931077113198432 0.0035120230276805531 0.014707108609954471 0.0064992354747723663 0.75725093477735261 0.0029928410422147955 0.11007885228821501 0.0032026937873857741 0.0078108389733648042 0.64064101545738672 0.0053062776139469513 0.0032215076565733393 0.0041678900812263265 0.11347939124242971 0.012353750853662212 0.0059324802044078886 0.0045829079551191138 0.85561425640773636 0.0042363166869743892 0.015299151015096822 0.0041251384096048661 0.002906019324639738 0.0060427645608315149 0.0040732856666465672 0.1222905260345713 0.0043064928044415571 0.0060935696160726756 0.0063901430877708523 0.0067394586468719382 0.0051412167009772716 0.44714503564966357 0.0068706363998040339 0.0034389746059784432 0.41673991396533472 0.0059202253582701821 0.0037700702991389783 0.51883813740186979 0.0067020249629144175 0.004023126154209666 0.11780594145145519 0.0039438003283158362 0.0055549494777530298 0.0074523332248658302 0.23629748726656175 0.0054948258656532575 0.004129211658156268 0.020108992608140787 0.9880720268777905 0.43343695294637519 0.36599687329991537 0.0030264569605140132 0.0044327800065987492 0.013705447472905453 0.0036100571925254195 0.22875799275749539 0.0034702188848726974 0.62866699798859726 0.0047291532700865025 0.21483750355712611 0.003751162009212303 0.0087550878525295365 0.0051201785001298173 0.8468242566773676 0.4477941072508777 0.0058335845431292275 0.63986818054631078 0.34166974176679249 0.0046569447144740378 0.0031398710586514919 0.0073135352992607207 0.0050515006180710626 0.0061454531077177812 0.0041669685749443075 0.0076557738550894214 0.00381569243724586 0.0026239990948457221 0.0063874712775442034 0.96677573224533075 0.0042317089946361172 0.0033958213624006445 0.0067288926114192418 0.5567074416909511 0.7516912467092367 0.14182986226200101 0.24372250196172485 0.34827295234414851 0.32995682796279646 0.0031426306798654022 0.0035839603305807652 0.0042640874375212742 0.007237755130479747 0.98041315657806627 0.97459472442119388 0.0087036263195850744 0.23532054050940246 0.0060387384966016037 0.12327204577701067 0.0046354269654119516 0.0026549576016656334 0.97560615463580325 0.004877328373918138 0.0051885188970352009 0.0069151883511480126 0.6096918865970975 0.11927740778306192 0.0020901809562172257 0.11785896451438906 0.0063701157027683218 0.52401120953201408 0.0025921419960973353 0.0031706818449791776 0.98582700440486248 0.97475015663775677 0.0031416695043887319 0.22891203146437672 0.0033022508952621522 0.98812351961219425 0.0069009042835263962 0.0036705978710829586 0.23094614932655616 0.10473148980466369 0.085497205492313752 0.96421327095924303 0.0031129727415472657 0.0052167448313230587 0.010209510283388224 0.11537954379424196 0.0056251296889772802 0.0027639584637731852 0.0038936097431520513 0.0074186660912762322 0.44203722804015161 0.13133194203479442 0.13173401897775674 0.11919105691379141 0.96268339636278433 0.0060132988874561349 0.71248246922063885 0.0039651514788834157 0.01199735105067177 0.0098713718879231555 0.24944583614952168 0.0071361268223152242 0.34314961732183824 0.72310022116190309 0.0071098860309517838 0.94583963755586753 0.011676202591085798 0.51399481199390262 0.14509764278765208 0.0051343738928305294 0.003694443421411348 0.65323056964406123 0.97893942367587516 0.0063210015807794893 0.0084662527441732444 0.0031063375577204677 0.0043265301801108389 0.005044915598354946 0.0091660656142047697 0.0067844444591949084 0.0045636782101459925 0.11520284197005745 0.0024934906417297389 0.119718352382424 0.10878359407198565 0.0048132035399995584 0.45303533112837957 0.0035926560931693057 0.01049455497510474 0.0027996788840968369 0.44929768418705451 0.97148974973681845 0.0099253351526477386 0.27017884157343303 0.0035512575509155453 0.72892916717356027 0.0054515547261081397 0.4356526551116805 0.19116157066373038 0.97493152818028594 0.002141570138610366 0.24797253198679492 0.0040712471372632703 0.0062853763374276029 0.0029520171244944017 0.0091445369454035245 0.66075577634407356 0.0089603025372366543 0.0049589605080379356 0.0025966496871480242 0.94386067021277986 0.22297946429348345 0.0017960736007244318;0.0081681316000253856 0.012708191247144151 0.0049828410322199073 0.24396166492589927 0.49622248395292434 0.24615161242294167 0.0016858999882827059 0.0061899596023950523 0.0075124152253353092 0.0016211449094864971 0.0035286723066001867 0.014084044873795594 0.0038286349748655694 0.49278353136818542 0.0026582617370728115 0.0014868714557323684 0.50612707067635454 0.0050232800686464 0.2524391540846071 0.24911473307789853 0.0025375039429508008 0.25391017560781914 0.0058852458168623407 0.0035956207125962796 0.0028699011854431142 0.0054645376380707562 0.0028866455507838809 0.25325752509402322 0.0042017229638549054 0.0025098712718168294 0.01212777121479487 0.0031176109977738161 0.51633462037085254 0.0076137865942545024 0.01442113062873375 0.7401302920786581 0.24275585745631353 0.25190712117600289 0.0021664874574769269 0.5124933054087859 0.98021094217429727 0.01304965640473056 0.0014316373682672938 0.25826908309950614 0.0010956792343055127 0.99353237475926892 0.0028710220184817387 0.98483608815283996 0.2540844506018457 0.0039007744521821148 0.0054413236607071206 0.0059219210571698567 0.0025711302773409376 0.015832911012403778 0.98833198302660019 0.00223676342558915 0.009382433487441123 0.05665774431932552 0.0018750007050997359 0.0059394146232313299 0.004915907562319557 0.23498625130463507 0.0084280579532197437 0.98952421147126091 0.9952401392649225 0.74419305050756202 0.0035266929443985326 0.51973850555435708 0.7437195644602701 0.49489612906881736 0.74255877143949511 0.74846949368847882 0.98367932645149048 0.25767887338415107 0.25232272734943967 0.0061579664401753883 0.0013736971352752638 0.003880867981021394 0.0012778266781617433 0.0016883685658460469 0.50918849877859129 0.0081731517493029947 0.067737293184086 0.0011432288718377767 0.25359563382192779 0.020018853057297933 0.22978327010984634 0.0036126150018441798 0.25828651463102059 0.50963901818248591 0.0013390063312331798 0.0058137328532075734 0.0036062257140762688 0.0064706888006853414 0.0062753206358710026 0.0069793319834075222 0.25073518636398368 0.50805039421069909 0.99320675268980829 0.25961400887769914 0.0075258753662327607 0.008873071040002482 0.74055880824223153 0.0088577236073987646 0.0046395930833793477 0.0025495508184822111 0.00696255587712033 0.25182420415443491 0.99619815545171031 0.0059036319922043598 0.0028309412055467415 0.99416613358875572 0.2653466289931305 0.2396517113146337 0.01868398591667117 0.0015936007253084335 0.0048932346778505047 0.002974539920609435 0.0035173412405951764 0.73941332388541037 0.0018686895245031579 0.0064663368669756853 0.99334496685779794 0.0034362024659696446 0.0024708817032428982 0.26131305517575359 0.75383274533281375 0.01441527898284109 0.0030341642817325017 0.00079538884809485537 0.0039895771367908176 0.0016084681797093048 0.73912760707593717 0.97951753109739959 0.48362131002546288 0.2569162917567378 0.0069907698127514841 0.015239072960296904 0.0010377523650947904 0.0051031476622429876 0.99211452000759337 0.0024478053730454369 0.00080820196040320199 0.0089380125221652923 0.5064672558151071 0.0089102022671944565 0.98129678450463453 0.86777966534186368 0.0046422481500657652 0.26409065297765899 0.25265607792085581 0.25423054957738961 0.25115661777125342 0.0080905215975424598 0.0061534282656536283 0.74202622976479782 0.48895433340371974 0.99815271930552485 0.00083479002132952752 0.0018796394621066641 0.002804884457110776 0.48613898779728326 0.0030902080053599821 0.014735190453204875 0.99675242268956765 0.00081129146755457861 0.27418098670697716 0.0066290800374942923 0.25705094346703233 0.98414666841125298 0.0033696210217818434 0.0034637089732050689 0.0059043096609667483 0.0059648482207136921 0.2462423698826495 0.74704956930302013 0.0021198548239652645 0.49257887672705836 0.0036601757623110705 0.0005235677125241038 0.48145363432876864 0.0009563124367395297 0.004061716067565291 0.013848733103789191 0.25806157688646869 0.0016963818803688031 0.010696830843726414 0.2508477204827127 0.029686312481371671 0.0031486403978098244 0.0096927530090961077 0.0010936903572687927 0.0024361249322410136 0.002767890324451904 0.0046495332406491455 0.0038552688374216531 0.0040181924057298892 0.0014688147776928222 0.26811443611867913 0.9948221415789521 0.018231094461380173 0.49334670625411281 0.0010171134717125733 0.26765278720900165 0.014066186432201453 0.0005706568581503958 0.49412437550168231 0.0031807387404563098 0.0050587304912695138 0.011938604151716303 0.010762961563965778 0.24513172122713045 0.0030241932480744834 0.0079393303547014918 0.0079404510836437181 0.0017703872330572942 0.0068130877431819758 0.50046111942798499 0.74234638777589179 0.00072027688737936807 0.0013660688599029147 0.016541705449046974 0.02051103738825176 0.0019343767103155271 0.0025755850048296983 0.99552012442875282 0.0057745582248599249 0.0016132041537971781 0.01108376462438489 0.26301864360116084 0.013619245304536872 0.99828821545423319 0.0081709107420811274 0.74836421743041559 0.99095630675895985 0.0072517320720227067 0.014306648243982371 0.010813008701103039 0.49027038339126 0.022066755118784448 0.50613518994965701 0.74915226766470133 0.040830175282421236 0.0037923400138121319 0.012361881094189137 0.0020628029093548881 0.0017272572816601382 0.0080583337568652276 0.75398508868990977 0.72743675519405393 0.0026066561185107712 0.0090026321433308541 0.0036918170210319956 0.24655427083924203 0.010311197239012557 0.0009277416505193201 0.99864080606745276 0.76963418603204614 0.24820322225458472 0.0014397328737161272 0.0072907228415622048 0.0050585294408297633 0.01791126093572612 0.0049361590152114318 0.0045850658969017501 0.0094490144629187124 0.0088703650922853858 0.99569656847608656 0.2414745682592426 0.008811188217271811 0.72483271056861276 0.016652002630356016 0.74181282576123575 0.73920689214313628 0.48660281309957287 0.00092071864454922666 0.004545856776712421 0.003809593446759576 0.0022741092969681357 0.0027250248866867673 0.50784455191366451 0.0090639288632765221 0.49854631768273339 0.017588501505794722 0.005854630133005855 0.75117632740128526 0.50831131683269604 0.001610337168867511 0.25583423423424795 0.50069861513341873 0.0013365864851110562 0.49480325645091888 0.0024542274726837322 0.26344865669964523 0.012589301755902253 0.013180168228610841 0.25390537219975134 0.0028094924771324662 0.0019814774463112815 0.0058605775782267812 0.013650534732979374 0.2502939304706211 0.0039136365680253775 0.0017633840211884579 0.26953468597115865 0.00064928421514878288 0.0040876274245024921 0.0031100489933830839 0.010765436906645307 0.51932490504035522 0.0019126729596362219 0.99506797657660351 0.0052477829240858073 0.24391870280258687 0.010477701356352263 0.97972605358579035 0.98365261601708298 0.0012917520294173129 0.24784520047033307 0.50203023330336616 0.98363320018422595 0.023097030761524081 0.0019728060590897983 0.0040636618716667003 0.0055098845039271219 0.26533631985692646 0.017527821363911705 0.50559417242920446 0.0096338755974297533 0.0014441299337437652 0.98634447491189947 0.0005005569739109355 0.74126064205392661 0.0030060725805589896 0.99109324230078544 0.73731427354564683 0.0024129580843236902 0.0041356472317920787 0.006731550349886737 0.74736992539050906 0.0083412310806435866 0.74150508516599922 0.0062876411341298965 0.24775975682669965 0.00024169423273800848 0.0061685693559385135 0.00063471183458261248 0.0044497878840487042 0.0036064844196012015 0.0056776506898824231 0.0021435924381008773 0.012946164723716447 0.0033719586877918647 0.25799782074136579 0.0019241281652406148 0.0015788538055685614 0.25469644417605514 0.010663319840821341 0.49929403634189873 0.25893475445191988 0.50039814548581474 0.0086171495019080231 0.26146521632930658 0.75623580224168929 0.73623248482719472 0.011190813704665497 0.0012833540676788573 0.50474426076373624 0.0041730440418241048 0.0043305480235214366 0.4981673695362856 0.0021085664085964762 0.74849776798441858 0.0044367321297961986 0.99353534839974966 0.0072326800877613034 0.0058286253970897262 0.0081460351856087188 0.76131877748795129 0.50035022223812375 0.0097040345877176179 0.0030224747028282477 0.0032310330840774164 0.50092946417203399 0.0031695067915807583 0.25508237051616883 0.023515097423613737 0.28373848410097918 0.0017714989876269579 0.98486518029207082 0.0047080604834513293 0.74408278466291455 0.99556841810885643 0.0015894971109033443 0.0073337634895743768 0.98917235574337714 0.99567778281528607 0.039145298638136955 0.73587472500116236 0.0042013363685983462;0.0053086223732343981 0.0045217794386927055 0.0040708487860625295 0.99060067767906923 0.0015244590369116796 0.41980483352491077 0.019181884649665804 0.00061884294833059177 0.3974310599572336 0.59560971161560716 0.0027488900961810522 0.0064609083076258133 0.012237908689755484 0.98522996038933253 0.0053951194822190263 0.0050059887463853054 0.0052108980626297801 0.97694799927709786 0.0017440982641159265 0.0030437372873318939 0.44269388182788921 0.0042432280074881437 0.0018128729656958205 0.020031624993907003 0.031292741911265097 0.020312905040632899 0.0089415463181877798 0.0024794151865945263 0.0014037730433569802 0.0010470016706497628 0.0019121678056190109 0.0030465354623056698 0.78073290235648685 0.78641431246464766 0.00099065862562656049 0.40727542595646155 0.59634805821328862 0.59193566922087215 0.40396230785934939 0.38813920143981029 0.78841945451933038 0.0061046335103658155 0.0016443588621126392 0.0034038779376748445 0.0010666549349450541 0.77647505694739993 0.0031402020677340631 0.40993541213041262 0.20046021187160867 0.0027117076588665289 0.004269446072476318 0.0054362161784702601 0.98453239606541598 0.0080862967765085066 0.012088928857745361 0.39119485921899533 0.0011688181797586711 0.0048559069046853597 0.0097082482908230888 0.0047233091923219155 0.0043292925906187711 0.0039989224012583714 0.57815751653706315 0.76577949507673004 0.0040468701081073557 0.19950143002796195 0.0019764305025939295 0.62408929355459553 0.0014058128320600608 0.0098148112570892818 0.39377201697973757 0.0038941856252689873 0.9938388307390974 0.99252055668682182 0.005099654551741788 0.6126903335718441 0.013210081147762264 0.20462147535830011 0.005713955007265667 0.0082764742391150878 0.0022744457763913717 0.0024528288751340535 0.0006479949885129393 0.39938201879195678 0.22972705177668964 0.0059176056028165079 0.0019549674651807747 0.38657030880875232 0.60163983213442285 0.81137890116387301 0.40417019796123144 0.0027198772628003742 0.0015380670286428751 0.19682367535811848 0.0011670098277295436 0.00213382937081092 0.022074409442658285 0.00191471788839183 0.20476060090698486 0.99181314937437981 0.20560301293559741 0.23545253972877603 0.40138519576774306 0.0057302663401357402 0.78496235124527758 0.0060128200631223323 0.028931102168785888 0.0015652607170128867 0.75837601776306784 0.19879585952219583 0.99382002365430766 0.39515419163460119 0.20856007205534588 0.99753062587076291 0.38689342615222277 0.0026449888016508221 0.0055191284503571724 0.0020309231841937488 0.21595006711618028 0.0052272490087804727 0.20595090598950266 0.0033601322728177957 0.002765215259774701 0.19934604175143911 0.0032672978110631747 0.0093167537020499257 0.051654558955914837 0.012377627911431072 0.0019298287868388323 0.40559116275666984 0.021236075662845862 0.0012043795932930629 0.002564651986488507 0.0063581477465218085 0.78801511870241647 0.0035652144073290131 0.0023603744126176568 0.002151591176868352 0.79618512199598335 0.0042419091562274575 0.0041000061089630354 0.0054779742989920725 0.0011306137915208896 0.002779650687837816 0.0036472986116048052 0.0030811706129923152 0.61249763825073589 0.0015914369888178229 0.0099524422926115796 0.61194781862788972 0.0010775981224463158 0.38188280980900047 0.0038197232011598138 0.013640223291062514 0.99789194427349215 0.8277003971775041 0.20977977436795653 0.0084465589559953973 0.016051976930445754 0.0067460401670871037 0.0036584952126740402 0.0026278264252726519 0.0064439626064444408 0.79094679578854965 0.20580183085336909 0.016164767771892088 0.0010364701504019757 0.0972851317001482 0.0027655288338338533 0.020024792232917959 0.99049025991631745 0.004342237066689107 0.0032788232924898537 0.0038056605390336135 0.0051769997744759884 0.0021626750740069687 0.0018973904547836505 0.9942811306604562 0.20571942899383225 0.0014058162498245784 0.010056527653187052 0.61070009877682629 0.6230259600721948 0.017864692874472333 0.00099528679302337544 0.0028502316343095024 0.41199987031877672 0.19854144357969819 0.0030663015141740293 0.97884888638068168 0.050503069888007457 0.016093800859851005 0.0018378124415401385 0.99917953687131544 0.19579183972153802 0.4074997049313821 0.0021966201191118743 0.00065220370815430838 0.80648694702324542 0.0049232428836473302 0.0013939281071902359 0.60155515892363287 0.00078888555817145146 0.0013246243741449884 0.20533449464947462 0.0033643150912489091 0.19886201642723431 0.003777352962191846 0.0020683808963972532 0.98414075689896241 0.0036566003382028332 0.58933945886024397 0.0017106751882053619 0.0072228132390680915 0.59362382892948695 0.0098187213057670687 0.24637219307314118 0.79378243651811065 0.00070826173597352319 0.40746530961226746 0.0078221568290760858 0.0019743538499835548 0.19633413811439859 0.0059162564743269024 0.0030734468490057902 0.9877340205638605 0.58990895386324138 0.0024599768749932116 0.39240125258257769 0.99955178153195412 0.0048228026449942691 0.98687690331716049 0.60630689244516311 0.002000062053030798 0.99564553902415875 0.000882290208325207 0.0015853088892242135 0.049779298869758098 0.20585388804905172 0.0025526137015577616 0.98155501282505342 0.0038089291802491038 0.0032688864929724332 0.0063020955422041277 0.00042567671685020685 0.0009020420194777556 0.0063988604387287332 0.20268153239148751 0.010378267746069007 0.83552516720153425 0.00229088329988285 0.024825496210167344 0.0034688398928761962 0.20954934218932342 0.58996022940006088 0.0025302897847039158 0.015839728138022563 0.04768327584724176 0.98757333979642292 0.0014921196664704872 0.00067119463092604379 0.79915982025678178 0.0036847068863698489 0.0079177668173854628 0.0024664375405180146 0.6153434201220348 0.0012435095883933185 0.0049861322664072278 0.0021164977125845089 0.79686157454723872 0.007501745417270049 0.99193234377965256 0.59103423580259562 0.82872174178677738 0.0015173007645911886 0.0024766257329334801 0.0011745454419970543 0.99510441470677202 0.0047935481777628373 0.21263188162472754 0.031536125370714096 0.82502259336184802 0.0029503108358817907 0.39774195558594072 0.39784888116702921 0.013667704479306306 0.0028887245320459031 0.0054580388929855164 0.22499799026392617 0.016550997765225846 0.0023848979694724251 0.0015509360706151341 0.20567255060029244 0.0040446636843965086 0.19738897056825677 0.0029584046624830758 0.0016521617098827473 0.40116613546390611 0.00074943504588050546 0.97812139530537645 0.20576928196542371 0.0048493275085706158 0.16885851718704331 0.0027233287207234021 0.60449157868270376 0.20307462337007215 0.41283588954853845 0.98938267489148513 0.0031970281044637573 0.98282509450615541 0.003374707560597337 0.77337208939460345 0.21037030107193722 0.78789812477694698 0.014757959900155153 0.0030313976489594607 0.015824845659773774 0.012947782543661796 0.0010154361015670612 0.0009915653631870293 0.62572693318885908 0.0026504223159720137 0.2033510442436022 0.0023565049501345896 0.0039085780889328422 0.59519131899974875 0.012625404885374029 0.79382351503629611 0.59810634962686204 0.0021198562022506692 0.99208953306486758 0.0071731498318174458 0.61444808131596385 0.39069018251151955 0.97982995623167479 0.61375779846734768 0.78663367283538399 0.0021055856319176177 0.39101675019920784 0.39915449557602467 0.0023793358433253581 0.22454994207643963 0.0051754754080501637 0.97689424280130188 0.20460712539654183 0.21023000049504403 0.61693271175501196 0.0016541687593008699 0.0052490542657289601 0.0024201217012803254 0.40104365057829994 0.0045930177021221395 0.0030003487997529608 0.79054143164906154 0.3761985060746269 0.0054111961065444695 0.010247570140702961 0.0040574490351356993 0.39937073858740679 0.20036720030209693 0.60740073664459793 0.001917756764502268 0.0049581420398651585 0.19890229989716054 0.0018680917848519873 0.58620730564812029 0.031480562005987756 0.010044790039292236 0.0022531974999252108 0.00058007703436756752 0.0012549869262145695 0.59029000903151307 0.0030557316462942255 0.0023201812010934485 0.80472218133031681 0.0017916351799830974 0.40628627401108219 0.19276745574173895 0.019145142594800279 0.20364441920637855 0.0021943311108867272 0.20475217702507878 0.0017389892089815845 0.0043257084758465923 0.0021609476216460479 0.002131765376861005 0.41979907362492191 0.0059781583697499424 0.0081114075103842793 0.017951119135320937 0.022787924841900328 0.0048228506570616881 0.19077467934787504 0.0010559596139726847 0.001268532975394233 0.77572616859349386 0.0057970996727469033 0.41571653275909981 0.79174471535959046 0.0039846580589706993;0.63553937995854226 0.33980550653359581 0.0063991567280590961 0.73343390359104588 0.0031054035916970681 0.01273339624642611 0.34680591559996138 0.0051255180862956355 0.00834263749109352 0.0030586453204592091 0.0025056533371038349 0.97677585715682247 0.0093337928117875404 0.026394470548842593 0.00790030987307868 0.033275476319869761 0.33905498170379939 0.01528263972181256 0.339089141953063 0.33539764502540842 0.96137662647299382 0.0024241306530666971 0.33996070647327037 0.98314988666992109 0.0090990482187624719 0.66096583790295593 0.0084016139672549693 0.004478709771176842 0.0068477276960550518 0.0033047784998024715 0.0082217644968733093 0.33466753906974078 0.015923936935846456 0.022286633258677496 0.0059424866922534944 0.0022468028994954217 0.93014942477841878 0.01116944334959616 0.69482600529080074 0.0062746184978041599 0.62708722733056466 0.0076160451042513967 0.33999641190943525 0.016518889724108116 0.022679186762345843 0.010227955623202004 0.32877394307521912 0.034168168472046637 0.0072276727605456031 0.0074973991375316277 0.012670478750350421 0.98394710320901557 0.019617682543574946 0.0069607645859199761 0.95614998268144369 0.94962302542173516 0.0041126467211257817 0.02677677023057351 0.0048165366097755041 0.0032315335011336597 0.0053631205970365884 0.97485566903037268 0.64894113202538284 0.011419802273353829 0.0018379697390997606 0.0023463820333538181 0.3681747703940102 0.61970885582306989 0.0019885433495331717 0.96722164583191061 0.0076948913516087566 0.32982250062218166 0.67725816594977439 0.62409509383966144 0.0084023560843201357 0.0091802889142183451 0.0041574433661307527 0.011136411172309863 0.62609588533476201 0.0040559609210081907 0.0037688185594433724 0.0032239305219379103 0.63062646484814833 0.011653509103781459 0.0029461145622620604 0.0069844581969362883 0.0064277272950759978 0.0041516349953561234 0.33856925937419396 0.03604259434671625 0.0020374824058165845 0.65123768008954741 0.35289776583352389 0.34398960008890489 0.34539877183134804 0.33555159930973333 0.33507456387765344 0.33057476369659866 0.010171264956418133 0.018854118072002688 0.021286410896485752 0.015629526114949121 0.0052337969902954747 0.0066751452016734856 0.0081590010708553103 0.0090799887468223754 0.0020987628097305791 0.0015805560877793596 0.0088777038702065481 0.30698660408513068 0.63816302169244721 0.0044317617870760963 0.0077125644605546672 0.96169768352524898 0.33682606846740865 0.33049420120922962 0.011756644035138302 0.0041646089634693254 0.016073680970980369 0.32390956969873136 0.030139887272646076 0.33879956403802092 0.0033115042723740368 0.003482749150023294 0.33165233296856683 0.34551595315438788 0.34196112159108327 0.0032676805089332174 0.0047329686100556125 0.0093132160774023979 0.71061839238053881 0.32999190809770951 0.0021660473907507286 0.019555716377177474 0.0088195325959707291 0.0064830522995784831 0.0035498294741585709 0.33030702624875091 0.64339159214489483 0.98094722994241657 0.0015426471148724254 0.9626344368935007 0.0068154590734112452 0.33333879298572427 0.001796316087121717 0.32934219630767214 0.32984271904189078 0.022911634656867984 0.0053481432806781574 0.010234987594432017 0.0022938878762038028 0.33130781802171028 0.0087420438434665099 0.0052120260372794033 0.0069235977614946764 0.36396402445578796 0.013190768339494403 0.012612605896004967 0.97256206421143632 0.0012941521090782389 0.94700483242485622 0.0056756471323105278 0.0031143094051654619 0.018164455445028708 0.94742242488007522 0.024465721385098282 0.024588843655127712 0.0012089089167738607 0.00476612241247507 0.0093059929738543417 0.0044606709927777948 0.0069861019673275338 0.0064575867825623192 0.32218066345200186 0.0046577720415539575 0.0037606084982680973 0.0041010268147834194 0.61632165905398617 0.95074174477866324 0.33718455767264527 0.0047676031752720361 0.0077858409064520597 0.34432952276881129 0.64371130958809464 0.34372665693523113 0.3258762908489749 0.020747430022783758 0.34786791699642056 0.0048513682416917135 0.012213358124120451 0.01416211920130111 0.63684330664779321 0.0052853778734463751 0.68419380168119059 0.3341753628378023 0.0045055370938218509 0.0090925687077895168 0.0091066049181740445 0.38223442078701181 0.33490764484789054 0.0038996397358690305 0.0023863166447695488 0.58925862143536611 0.0034767952314543379 0.32888573321061498 0.61569660258358194 0.93868154219611433 0.0029249896774974199 0.0017693725263263028 0.0033114669112180965 0.0042374955496947558 0.012389183859737319 0.3339181578312535 0.32788233200384265 0.023155958637484958 0.96934125992977049 0.034581479557154682 0.33058139092143135 0.0056708107272412673 0.95776694173842203 0.02020150515160582 0.0023491395953468058 0.61301710586845992 0.65315696973929427 0.3302908739809417 0.9661035172724689 0.0046681694909210571 0.93547089262004779 0.0074710364806120574 0.02456787779558392 0.0055826472664190626 0.036405910155209921 0.004201005821423907 0.010600327580072046 0.34034147137346338 0.024817916747972124 0.010789709553956549 0.98781117923520312 0.026399883763638627 0.34602191099736018 0.65786934111426976 0.65133232773248984 0.013415434910411625 0.0029805503147564759 0.0051838860340408001 0.0063386606746611059 0.31992704182073284 0.0045785052783559313 0.0026866721135188672 0.0046072958517874582 0.61169506469860369 0.64567871895546114 0.0085759336824919943 0.0028229043540597353 0.97069381752009554 0.0062303133085761225 0.0070622755719013733 0.027493102664861838 0.011176158380029035 0.0059660215567221321 0.0051148670638911826 0.65584453188784664 0.0096736130661494498 0.010582564279852994 0.33260285668697398 0.35589202916097218 0.28749006584815584 0.0057350113785052566 0.31751044804217743 0.009824221734125128 0.0029838112552610383 0.020488209841589285 0.0043582852382045264 0.63638254265929617 0.0061606045276124911 0.011090641612768839 0.0017533853094446237 0.31261720069605936 0.96493294517793848 0.96440642083758754 0.0043067782189276337 0.6158710338168002 0.0064486606102226573 0.004021577368639527 0.34053600540097745 0.010259132124015838 0.0019549091216105466 0.57595212755982605 0.33853033777032493 0.02483285968684645 0.0054216228258452646 0.33533795906693253 0.017736262205420676 0.0061002049069195461 0.0050501562509142599 0.0039746866973025402 0.0085034494769066216 0.0039546845409119159 0.33696367437707714 0.0053134243730248738 0.0047590459622362229 0.66470713450555174 0.9421299787571209 0.011314237790542466 0.0070649464311754893 0.34570643081637548 0.0089329095197230868 0.67991238061881765 0.002690024334644105 0.33804518621049134 0.008868400326274296 0.34662703960304769 0.33115383231110723 0.0034933444911658365 0.63074712397083066 0.0034967853287024972 0.97265309052002624 0.004013071169018112 0.012086263736024491 0.33629964708640059 0.34410091760377487 0.04506002369788556 0.0014502208442402937 0.34015102452087337 0.33351527557508648 0.35096189077279988 0.0032635702212381922 0.0059536384819502443 0.01234346125281072 0.011836948022220772 0.96269956147197966 0.0046721506485089583 0.027423021629983467 0.0024960799529357806 0.020773117992380491 0.95236126102377294 0.29340842007303147 0.016296411653759665 0.002526390084076598 0.33645806405142831 0.32781774875501762 0.015013949521557537 0.0062871377901023663 0.33595955780792125 0.97318681110677252 0.6493371561060215 0.98308956153966576 0.3312977186606646 0.33158354601234696 0.34225232861078841 0.63184911823219414 0.0065781138143351037 0.0035225472914303139 0.0020288023748442885 0.3477703698795408 0.010813968234405299 0.0015860814635380665 0.33207102752783851 0.0033920047764543493 0.33127749503309001 0.0051189703651401096 0.0082494311194500972 0.0020911084256262603 0.32770491980645206 0.0024965506293882027 0.0067525374394600129 0.0025401614655921998 0.017035488012572271 0.007567144904983801 0.33321967327779539 0.003064871354216125 0.62690695201210733 0.0038405811231396166 0.0023992490824054713 0.0083164118228794878 0.0054928145661134378 0.96338984249030446 0.016566820946217573 0.33476392488620804 0.34710934852978242 0.0080400446943631604 0.010493725455410483 0.0072407642334727631 0.33359376784250211 0.31521813895468231 0.0033938704723921569 0.008077441407019624 0.33490831682549094 0.95093360042694464 0.62382772365308481 0.0018263010683879837 0.33549236978598013 0.015131203673056728 0.0022172206088580176 0.0031801348815421416 0.021256423617472764 0.0089994462053377827 0.58800343263769161 0.97741591360170343 0.0033547513227832676;0.094640703385195882 0.0051546868188260169 0.19123136002225502 0.79920508943653179 0.10140742458291765 0.41087977661960762 0.30458763332047933 0.0048568156002571777 0.014376364465063384 0.0041434803754581218 0.0066866488778193987 0.018693275107607217 0.71287336622530184 0.21703335740639251 0.086223772669797763 0.38695539526329709 0.17156923057550849 0.32465548021844309 0.01505443477716897 0.011424689443013164 0.24036173612733086 0.0096475518606278163 0.0062895994923537965 0.78603309579798475 0.087197733618096865 0.027057076321876213 0.013892833881514865 0.16815446584334476 0.26725451865452965 0.091563020327847022 0.18386047821561938 0.016142600062340896 0.67529889302092116 0.43090224493728158 0.31705509826514339 0.012002419674088594 0.034117397264980635 0.013083232904846953 0.017025183433109541 0.0080369444399590838 0.16588233559691448 0.31877442880572004 0.1625173419756879 0.0057996855828922646 0.023328965155815638 0.26032406527290614 0.0049809790437775007 0.010303032170894302 0.011487129458589096 0.10016995683216937 0.030232253092815804 0.015212192929646314 0.079405496233468154 0.037073777665177096 0.090792287143344905 0.77758980111570342 0.0071524941561743535 0.085029755405474292 0.27783517908198202 0.080072594802797478 0.088979244068997945 0.0067710516739779864 0.081393305661669343 0.088191699550994707 0.0064211895848502488 0.0059342500598904679 0.090973372204553538 0.72809655511130944 0.085897765949648763 0.50905510883998628 0.0084435111670345224 0.1829275109391138 0.014909542766541221 0.3084917869357181 0.057550440304113326 0.08607521754639362 0.01112903027273714 0.18563520307648587 0.009063357914497203 0.012136125012695596 0.0099989985092831454 0.0057866974975709414 0.18256008006544336 0.072371250468945575 0.32573285422842269 0.25742655307646889 0.25731758512301695 0.0040798997248270557 0.091362440441615372 0.084591904361270634 0.083494680790803036 0.083062074440341277 0.17624031266551257 0.026376973451291155 0.48604332239948733 0.0049516311644147593 0.0090164887919767824 0.0093399349067246513 0.49729470112766416 0.00886916546407834 0.31154178692666978 0.5146639586494941 0.24257941565535787 0.10151249291158768 0.018154765698287618 0.004690763511757884 0.085510371479045 0.01540800125118361 0.017440562606136766 0.034825305610742374 0.11415038598744774 0.19406016764671052 0.10807112776138722 0.011980367666557881 0.073288217738016734 0.095170366194379796 0.0093603357745430226 0.38224286070117874 0.10483254897452834 0.012635976428322813 0.0051023239953315088 0.046715839898849781 0.24286499930807143 0.0073155141802638251 0.012720428069648675 0.0082455966407173412 0.18326166484321266 0.15777053698094337 0.0066419216073566305 0.012785352934983736 0.088086694791298423 0.010874361609082204 0.1828744538383883 0.16340435316443411 0.088513274745807349 0.75575509025684762 0.01980607531442577 0.17194801191149711 0.21432781758823027 0.35287213884015201 0.014246647945253503 0.25186452623444883 0.82626044232639184 0.0057502891239635257 0.0093187532365685485 0.099057998662436739 0.0047459523102088416 0.099254716402911086 0.089703688402203108 0.0083569635069857609 0.012442323173167975 0.010683647509627149 0.0093316768100610743 0.017037324650675232 0.17985672218455739 0.23281863512220582 0.24352207329823752 0.010860479984925654 0.30380299673275213 0.0046286805430734816 0.17482800621618849 0.11480333922594177 0.084403812963233044 0.01611185779508437 0.40503867252164777 0.0138311826915024 0.0053380941829738607 0.008555716082772646 0.0053262622255534032 0.1723402662834122 0.016975430687055367 0.0067908049202005175 0.0064833881810635666 0.090691095751646314 0.0076607796673258304 0.018131831653009481 0.0072030926885483411 0.083330485969735663 0.42483805509722439 0.0058412141426039434 0.01887953634638926 0.011288374793728405 0.22935064135759145 0.01446816852789375 0.10397746061698365 0.24371723714604976 0.32044032895005192 0.25494688374029528 0.0046561366376510439 0.0083030192463827562 0.43209462920779618 0.010338067542691579 0.26171100119414475 0.55754878176522227 0.0076045054868384993 0.16788114417845917 0.016759890462400239 0.32555461711621914 0.0072298401134127744 0.37461693228594267 0.0080691834945810347 0.17106968337659059 0.0087703518482472199 0.27332021686944563 0.0093952703305902347 0.16045949678439764 0.66052599901157427 0.17955365845349416 0.010557844135719698 0.088843179340537426 0.011262429108863976 0.011644217992573758 0.011512922895696102 0.013621257882455481 0.031368925374446494 0.09564968119613633 0.25502687903520116 0.010078499375963187 0.28105489654593235 0.43729514565949529 0.013491199973760661 0.077377726424343041 0.15907913005049273 0.64319253325845727 0.0055024072210536814 0.25550998357886218 0.085440107852211122 0.31690335721607438 0.17078187172527784 0.091181658402551116 0.011800898172427476 0.22236048515852705 0.092752984990663603 0.016873979094926904 0.43238886235237906 0.0088903893610769724 0.24270322694769964 0.16744993208907138 0.081986379722737132 0.082977015339896876 0.19319931325173179 0.1060818813292886 0.0088365951154356168 0.0052547485544904623 0.011611908038553177 0.0060959880464650828 0.074135142300503984 0.10156512957818997 0.020849982565023413 0.39704193633149865 0.0065545669059444032 0.34824856820512073 0.33350523751011785 0.012924593602507011 0.23705427307672419 0.0061004370906455538 0.090495294955097866 0.33927567151284244 0.21863869934813268 0.040104052463981507 0.010550510725375722 0.62363134820335786 0.48275724498212014 0.098450980440223684 0.0033024862308381462 0.40526559106108961 0.01266072486884769 0.14595134551919856 0.0076736065647160607 0.10383183865628344 0.012827614468129401 0.020032562415280397 0.0095923067133283236 0.51894109692939061 0.0072988929152691256 0.0078134159256048538 0.0064461260205106313 0.31323082144760672 0.011382565937413738 0.16890303989901445 0.018093017294046172 0.016611827735895649 0.0074493293927560744 0.004688434953344498 0.0085414474094808873 0.39691115564650059 0.021882984917533967 0.34508698367675616 0.35893903943154987 0.68223777518240658 0.52700313050483694 0.40965132896882717 0.29591464691808289 0.33311534597865777 0.083597683840143794 0.090682207479953869 0.0099513417870972093 0.0060840438180341429 0.0070286981154916136 0.10165043807228673 0.0091457302431887412 0.022057986946513373 0.0072860611092249779 0.09245450168343744 0.2825694323207823 0.0084044674045730353 0.08608165461070201 0.7973004332386987 0.40985984559309885 0.0083130286940819673 0.004374247490112248 0.016940092351200222 0.020477403182778645 0.0033428303372261018 0.48357707679328804 0.0078478322039206173 0.58304598809678976 0.0066714291127309023 0.0060731080599633249 0.0062061044710221957 0.16254951515889429 0.2723968281808819 0.0056718354400409586 0.0065385869010723581 0.0047436921574267694 0.0090456656494729247 0.084546561522755484 0.0072588578146841913 0.099355559843930338 0.09752214415933641 0.39149495688650449 0.0988300354124068 0.012089609665522107 0.019963018388007129 0.77838710267444966 0.39625273801337602 0.872912546956369 0.010382805461957974 0.0065517307512260262 0.15690383563497912 0.010713588319125472 0.014045748076876851 0.16598901697950813 0.0057663887073872112 0.58017712722576731 0.014696736665274816 0.79549207697958735 0.094739830590965635 0.02137628739293666 0.013856771239481222 0.11898455847717096 0.011360600687965138 0.0032303266523479313 0.028174393051191626 0.0069243484524731305 0.30909074596156139 0.12444639215218571 0.081938476796327903 0.11501924311515105 0.0052797251540601109 0.0754616398300271 0.17929708566007901 0.10171279605666032 0.0068405127248904766 0.24664208446245092 0.021880404390377237 0.011335455151071266 0.23506159772916718 0.0083791450686951131 0.013617889695120667 0.016510098469129847 0.018838700815048504 0.31148060122572335 0.0036645755691311439 0.24510435776443926 0.0091547873354159391 0.16772520679050854 0.76389433562820841 0.012254200650029436 0.0052057850185399917 0.39733127212012054 0.17558020326127941 0.014379994237640557 0.011805560885114847 0.014817611935971028 0.1669014318453903 0.0060134179620271577 0.0115253137477692 0.0057362524438926681 0.41096627604008823 0.019619474569881879 0.17390198292009418 0.15892645028827646 0.0081347676745083877 0.0047355717405397572 0.012909634802309399 0.31732048562941445 0.021224840874623275 0.16435517524388327 0.26205862651941042;0.26204163479349324 0.079762173489067723 0.0064451708997249162 0.013199716913224219 0.083943937126220586 0.33566023849815696 0.031492580579931602 0.010603512209909061 0.081548431347981426 0.22381396648447294 0.08649756059578384 0.15123631660781772 0.20620401494651422 0.29585919162478153 0.062586746773247715 0.053771985067719526 0.0086308864460124275 0.67240126956835444 0.010756213362662337 0.091387095197278334 0.01722428971102604 0.17971243386636301 0.030942315519357694 0.086043907351374627 0.54620686488872594 0.011393242053580353 0.08823535011823691 0.064026689809951479 0.060821017809181137 0.0098004528345924831 0.019903639309612461 0.28513615682688781 0.1525904222018904 0.010665760819001256 0.010663840840567828 0.30386050964665423 0.61519616420717815 0.011121194395917553 0.62362349652701121 0.096259151788386038 0.01308291258228964 0.018369489185016432 0.0063045254356797432 0.14716829611678081 0.020800964165714569 0.0099377679468717409 0.0081865726483422267 0.083135587045592388 0.088228145563598287 0.010914373629040377 0.10107216003071666 0.0083753721594291772 0.33304159722001769 0.078512813223497527 0.30475118409104263 0.013478534261734346 0.064342937426907248 0.49942550003119568 0.014794263400951017 0.53629173890736059 0.0097274662411884968 0.20634387453960998 0.0088153570949551421 0.077344866859894099 0.0078719305313081338 0.018741888918799965 0.164075374748272 0.023806434499122224 0.01268058771449453 0.014000998698871661 0.16620245959813315 0.0041435768609898943 0.0099740288226777916 0.29101085275977173 0.076677156317230474 0.18869406227525373 0.21485541545919995 0.20317670113598815 0.17270372057396766 0.075256826169554147 0.010867417708658777 0.0069972989781396395 0.01519423669009796 0.53036336146437602 0.34411785865933087 0.07577368640660706 0.0074670646390446556 0.071582150869206163 0.014779929545780288 0.0097603281363088552 0.088016880373728748 0.009863944154189468 0.25403915591728066 0.35520014482716233 0.087147253447683051 0.076149123164857113 0.45193865859260374 0.0084025560408460299 0.09433274861202838 0.011206434198684827 0.68462944901573652 0.029082266242254073 0.015358905254677145 0.28448404602115718 0.328522786972403 0.13513234008773711 0.41698235779026205 0.0097305614840998301 0.035932994984974286 0.020504446557766995 0.28186630715256411 0.022963518663490307 0.28182958100258837 0.0063518044791029751 0.2162496165556482 0.1575856789146329 0.011536889921853033 0.083350803117314035 0.19410507643182606 0.10031828188061771 0.23279011008890782 0.078068673819287115 0.01103120687017844 0.078684552658997459 0.0099312560469391221 0.14886630004255064 0.088476087237920276 0.014564779489066947 0.0083737197945096715 0.020658572180114815 0.13829436090512229 0.14865944507219592 0.012910303260102189 0.013820657303939141 0.24720780826408351 0.24030995820429066 0.0091756515489190213 0.14024415209082589 0.71171768311150252 0.32386018036285996 0.0095699022705412577 0.0070839270551487331 0.011401414182588292 0.0065728121981814104 0.010222815990067162 0.070354023742877247 0.077989176426534301 0.011247770183495289 0.010778316980251692 0.085046118877710894 0.024013622950123471 0.14745285961120477 0.011259703557882084 0.097821652860101596 0.55193440494101331 0.10215961054246289 0.028113441355269792 0.017590855690342282 0.14711079466734084 0.13389804653919879 0.096188369702101512 0.026220472411107656 0.012052607795466394 0.34154722989068165 0.10312252366982312 0.23215860574671532 0.071895636352224387 0.021691344601832904 0.0057880333832842617 0.0088067828385253386 0.14393380507204639 0.027016906429492303 0.0099076909659060013 0.078702420206646168 0.14477038109231505 0.01418143600939395 0.011594848602885314 0.021288004595830357 0.1426475722274419 0.0072148896025372947 0.13883163824261077 0.093443121704488916 0.20835862964401683 0.15327128912248708 0.18356314557156578 0.014361103766611462 0.51860172618143019 0.20220084397635951 0.087318201776515336 0.097592811175642433 0.078565265414298771 0.077678134627519796 0.014192492303884956 0.60029364997905299 0.21942300728913877 0.017799433931695714 0.31505047652509616 0.0081209929575050844 0.020689353065437718 0.010676094132326116 0.081670504195074628 0.013411312055629707 0.013841255323425318 0.011043457948773025 0.31456104882681646 0.027989147508831125 0.099040024966429718 0.0059483498966928488 0.0075962402340764628 0.099651694368360716 0.010410007816742062 0.021605227108789274 0.070320690800615815 0.61981147183396301 0.21197780327256799 0.20877807670429241 0.035958284105068197 0.089804501022094682 0.023939864249023973 0.010222314777246146 0.14767703011241151 0.006007950346677597 0.27888497335298679 0.006791795563934569 0.010666453328467149 0.07945373957644912 0.66509278090627921 0.15814508342142464 0.4996080466420581 0.68174679944390648 0.061852189206477635 0.011684694230900393 0.30034819560922549 0.016615350954812043 0.010011701486065016 0.016995047728403243 0.073312602470437582 0.017734166243090779 0.021802104682250439 0.0092090511839719377 0.20891730668267749 0.0089776310904609788 0.0096496796981537115 0.078363572967625778 0.073291016281577984 0.0088414653016752002 0.28493080628549222 0.45394825222237867 0.029912855797879279 0.39682848719302383 0.01634126093760057 0.19673862057969876 0.013143996779448009 0.43488971023290124 0.26557227619771162 0.0076348447616285779 0.011508678549565809 0.016615241119216358 0.38687725662677747 0.010352133177627022 0.014233098904225 0.0094123478428706584 0.0099133313252706481 0.088983285114549893 0.073750438431658516 0.043305918288867776 0.010146218747123535 0.15257744117940125 0.0072759791218016392 0.07293492169495161 0.010461871117720508 0.092374787015936197 0.015792247415176874 0.12802225741866347 0.010556350474395581 0.087140090315342936 0.019754201778057416 0.3387005402226404 0.0091722312523137423 0.0071875742125998565 0.28030334688839498 0.68600017318243234 0.012031754984240757 0.092835063250994138 0.29578400470338273 0.014112194806427121 0.012574665897687732 0.20900129772720524 0.079860146091522782 0.027150091830611539 0.074642012511699732 0.007483378848599502 0.076281895614493209 0.28227881489165196 0.57228974983661651 0.084972285246980528 0.018420071711537686 0.15626902922766026 0.011330388886360196 0.014577196752108532 0.022816449421140285 0.15617620267555829 0.14198905028921366 0.014824037146340764 0.012224798152527496 0.14955667759296112 0.62651091966680794 0.33886914444479499 0.008593045623276719 0.012662868893023555 0.016446366630745612 0.0059144663266225616 0.083428914167099272 0.014684367350414975 0.082747738662004522 0.020541245363803591 0.090278414708650528 0.16188596969786972 0.13511244479618115 0.20448584816441795 0.011597020798123952 0.017951155845117618 0.017419326623312359 0.025760070944582228 0.18770403467860877 0.22890041474208783 0.010396072916311989 0.31040898437673886 0.026182595001516339 0.14048448855114806 0.080480695188536677 0.13190393754215185 0.22731459149088773 0.0074275895475247461 0.012551166563330739 0.086571715419773695 0.18159000831056693 0.14871362146931852 0.22845644828849845 0.19746006288966286 0.01736368619317679 0.0086064854010895857 0.38918781713567785 0.02881806155726041 0.010088170882867089 0.07551321205460769 0.085963318502424696 0.011306817807827945 0.15012937359579698 0.015425070877969089 0.074212445205203828 0.012220335624561186 0.079119776410382259 0.26096613790229889 0.076678744807766291 0.011209518206294657 0.34304671896173072 0.079440289952499382 0.010988745587600495 0.017447016378960616 0.34211228661491644 0.013414558783826925 0.069242723004041287 0.074957114728545757 0.0055266522616920838 0.081666182932496723 0.19409788611162487 0.023296534174057807 0.011068552034408359 0.068388641522081878 0.013863107280321623 0.012320083308586288 0.070800506963473203 0.011697886758591843 0.15361015929718755 0.07004073333314377 0.16392530200378844 0.020438218861996857 0.008441510817782447 0.030780920336223608 0.077502845418461447 0.61811416502217364 0.024972712479830819 0.071566080870225812 0.013556162890692636 0.024880988323601031 0.16120777990446059 0.7009549154645156 0.016132664095992667 0.085205090532596922 0.10208420478775708 0.01078611219391571 0.14640063939863981 0.14228151546650636 0.076949244194199129 0.083391631983096695 0.1439662025346696 0.079045583307607137 0.017337730199337306 0.050235407971006792;0.10344014958041761 0.079829610030001108 0.0084862432135498038 0.13344987062347929 0.066057213699622364 0.0083489427841747458 0.1028244635038698 0.15481677992659215 0.089707541913524938 0.006508774010832219 0.0724800093971677 0.69760812616607537 0.015364487532658753 0.0060133669068352311 0.006574456398957422 0.0085514041727625424 0.009405781832392518 0.0097189776466760011 0.45295635726840811 0.0037113488602471935 0.4780432489152826 0.016299991655317193 0.25790523832590206 0.0078469526060666282 0.0040037422426802329 0.0043545342494027243 0.0052377805166103223 0.22311756064195493 0.078704073140663827 0.0051322938199631126 0.016404093654934122 0.44974384963223651 0.011265692475528308 0.019806484823378868 0.09237099562384217 0.015895702701438408 0.78802081916503419 0.020164588650813615 0.29167679625495224 0.0087370260162350499 0.030195634910246245 0.0084379866730338975 0.0060494140081158972 0.0085274847013518361 0.0091939931418768533 0.34687087149372448 0.15325374541611314 0.011736460990418664 0.0082880962021272889 0.0054669389809061802 0.0064178276353930985 0.14972850080381386 0.026192851750687737 0.0057501428150377861 0.0058481447878188479 0.025264293362698215 0.031171788145129119 0.008450909811318014 0.0063862552221866601 0.0077709383697929764 0.0094528334987156876 0.10112785189386057 0.057418824719249882 0.0049187384215540458 0.021605933656012793 0.012810642936309711 0.72029470239071047 0.0077593126050900293 0.0079576878988694873 0.017976586770234775 0.010490758888008543 0.21381049944686603 0.10806333026045721 0.51941342334282969 0.064650856765373521 0.0083546480816661037 0.0068789156601773462 0.0035369114811528131 0.007566233950941614 0.13816826106113622 0.0094442053651177076 0.25081698115477941 0.089563331265937712 0.017004237626781226 0.079286634858132476 0.85017629533431949 0.1420182387021858 0.42684652094996028 0.01390727958533527 0.0068004648146819946 0.0042929588447481667 0.14685477220030618 0.33132772428307378 0.0086738588647036624 0.005204742123210683 0.27637175530658681 0.32233440250241607 0.088450809374290562 0.59154377043976802 0.73851687653728548 0.023006228830363948 0.0053270821580899737 0.2806555695513997 0.012211707611249928 0.56906788133030006 0.0074071591975628558 0.011793096192178798 0.012771892282586208 0.032695509655121448 0.013037448275846991 0.007297022078152051 0.24335042530658296 0.48609639078643274 0.0046668721857513976 0.029447241020885001 0.7458922846172642 0.010566285942318603 0.0099200522595530773 0.20893898999908844 0.0058040777078142095 0.75228499191936271 0.076051124919991941 0.50596811856536106 0.0064026704814397067 0.0057168179234379701 0.0093183200301175315 0.0064425294445995436 0.0060143611039347308 0.79699136987830133 0.0086378054608231732 0.0044876141433894583 0.010435981564528598 0.077020608312872649 0.13084221651958153 0.013896422123877667 0.25495954040144669 0.15610632273168293 0.30195750274041755 0.0087904267594902715 0.010458110423867578 0.0069694381533822987 0.0032561787526282126 0.011671837370371731 0.014789133663020728 0.12111530953825611 0.79092898709997517 0.0095461824291245678 0.22423495434579338 0.015554807685430452 0.01050494438934774 0.037893342649315674 0.15613655981424374 0.0091113332952325495 0.081142090700195582 0.0076692602301305039 0.019140896100307975 0.062590842695044474 0.086683940546084429 0.013429388702947275 0.0091583282791221996 0.0090438534548098921 0.0087105916175088047 0.0056534178433861083 0.0079175459984794187 0.77033983990698296 0.0046845328007384442 0.0060138822746221478 0.018810515315373248 0.00526730680125145 0.057881213939766682 0.060887470589148451 0.0043489222282231919 0.0057499996967229575 0.0056002222770072255 0.36276338104488326 0.0098521088988606821 0.58253516247397408 0.0043980536821093636 0.0062557602649053598 0.0026900875031193338 0.0047339128228878645 0.0039656562013612008 0.62661877212540751 0.012176462640077271 0.072979826125729119 0.35161018385867532 0.012643531814605721 0.019041957969381813 0.006005967965324821 0.0047699328754822589 0.006432816006152758 0.01096673818114181 0.0045545696961052486 0.27352596615157443 0.01055504436022222 0.13977070825392326 0.011074907935939573 0.01578651464686924 0.010820386948042602 0.64140760609577974 0.21057843963430001 0.0083201560960088575 0.0048754966872989842 0.092898490554617991 0.0064419100174122664 0.010221762377044561 0.010795255267281607 0.0055835051535035795 0.0039159055904802306 0.08009600913308576 0.018118510786750756 0.0088266565343670927 0.0068828126060568092 0.010450085244425176 0.0083521095610237187 0.0031239245545001473 0.14423105794151292 0.41477708401198404 0.012829103478889369 0.010514001601397016 0.0061820327044109329 0.070676676223382806 0.016634076603953163 0.0059213386591519049 0.47950375331077905 0.07377752917803701 0.67270278929857663 0.015307564659517672 0.035221067202881456 0.0093415340588435744 0.33169222173131174 0.49757299658136517 0.0048869615512559424 0.92524814376578612 0.016326948544287793 0.17014803378695773 0.83086922429346566 0.015127205304871631 0.093310808526588379 0.17873649423105559 0.0065398332898300802 0.38230937584277325 0.015764039910007695 0.030151782973350694 0.46771678866222305 0.0069624196004847896 0.011009063650851155 0.013626128468355503 0.022643426286315681 0.0060760820060977586 0.13456515714060099 0.38676374851296991 0.27692608290498866 0.069772957566314645 0.0077278464090266563 0.0076572329345180185 0.13912854250901674 0.084954449275029709 0.0078169812421379006 0.0035003719776009103 0.087948938026197465 0.010812347311014792 0.012274935727447946 0.0044462364492875283 0.015324868516015748 0.0080176599045785994 0.0066672729582103688 0.079218072669853506 0.0039771813644201518 0.023567429290919914 0.025322476985711835 0.008027294969210428 0.0055985766056833863 0.010346450204176124 0.15671420214142351 0.012285607127345378 0.78750349157828847 0.019461874580366925 0.010367044031343527 0.0038281896214969781 0.0049222380572119728 0.80956187835069005 0.015484486020991915 0.33412071686615846 0.010145150758129849 0.010553814130776218 0.0097713454610841351 0.0080656302781296815 0.005717116799137203 0.0073941767988813696 0.0061312698053780767 0.0082900222526043846 0.019497920496382885 0.037340176751911251 0.42190881043626349 0.092539461148629099 0.012759892847313171 0.0064392120963566515 0.024588251408007567 0.0053291278210562051 0.0074609920385446254 0.002178630931186764 0.0047408199123605294 0.16062920740313391 0.53356877347811504 0.047828898680462154 0.082565087568689771 0.007896636233543539 0.072540278659743843 0.0050567173820674806 0.013583790715237264 0.13735558646159457 0.0084238921399442702 0.0069740004060068386 0.080949137273315555 0.0906630252524116 0.067963035206753009 0.011204991587687067 0.32652169063212999 0.57479418092437218 0.0066877039400672399 0.25701448468170063 0.0045534465659835491 0.85657799727433059 0.78159719639164638 0.010671999867985289 0.0093015123777251581 0.015357615035219083 0.0094262795930162811 0.82385886682135179 0.0098171906566978558 0.01096757660548392 0.0086755785100826391 0.16155504473361149 0.012567751019295189 0.07633381158872056 0.012972895968476603 0.0043615936815778432 0.074635135220190982 0.16509574288798159 0.070185513168493918 0.012247817752483507 0.010333450468848041 0.005715121618238039 0.010065408831412659 0.056429507017990606 0.0065512192635069615 0.069551428571442961 0.76440758700913558 0.0074423575052833934 0.0067598926608101201 0.0093439204020396883 0.0041973486420522942 0.018263213712637068 0.0086784261445017989 0.0052008726081236136 0.026084726351057227 0.37106050932163548 0.0040444385799195976 0.0096942613946217893 0.012516580067176403 0.41870829351432165 0.039400624852785886 0.039461278480215724 0.61945600638687115 0.0046771559143836622 0.015813450842932054 0.21911029946304547 0.0088725802580195932 0.73492494855395551 0.0061682580857763264 0.0057460662463441736 0.12081791131457362 0.014484429940453295 0.017589865715817575 0.40169029222103081 0.008059027947466834 0.037884245818797471 0.0083291036266631563 0.0087299295392275055 0.0075456967875961603 0.023989574841892656 0.45463792909274353 0.048563013272616466 0.0074290450315533055 0.020190727410164883 0.0090473079984819613 0.37538901820124149 0.0057186094403841869 0.024625766884865636 0.0073896973886338089 0.025904156591198182 0.014801625556099861 0.022607749821378142 0.01928039370883464 0.10925488423450297 0.59084551932925788 0.0058188655633936359 0.02366997056699699 0.020086517320253877;0.066089190669631578 0.064471556653067391 0.074733145678608684 0.052630446926223685 0.11930213284919852 0.032698303310508041 0.071932004609443614 0.048480961221723975 0.071581947154099879 0.056387823677538022 0.059806413133715909 0.064888170724376804 0.067857060278677855 0.072959233908246865 0.029810830148919561 0.11721114229030991 0.042834035456777469 0.040034184753596332 0.065547887226581641 0.053426750019694401 0.050259956604846057 0.078435643689982834 0.059171638070564726 0.09681188381169327 0.070774599517380604 0.074238117507075888 0.080615495595070724 0.10072488264231323 0.13133060505371053 0.096801215183102293 0.081072956486214404 0.055100625615896751 0.026298553796986191 0.10581793454556179 0.13629566374244168 0.077679986273513565 0.024035507896709003 0.098703195247042658 0.044997128089293091 0.055127591006310935 0.045622887199294068 0.11369946404461839 0.079562672424052724 0.046162723579861883 0.099604230500984603 0.031295981864503983 0.047209165483390138 0.11840973107981675 0.0573037447165025 0.041066366411583503 0.049624391538458781 0.0990377370351955 0.034171974840699296 0.040117473336947485 0.042681832770751202 0.1027816428601479 0.079917571448973102 0.053209569616960051 0.066731150498112429 0.062785072291166949 0.095467125369721503 0.073622667421688645 0.050471101648679351 0.052854270680238909 0.033017200508139055 0.11869482062645755 0.049406595720575236 0.056510913602027917 0.13972139134771275 0.058100929545065919 0.082496027033396577 0.099288896079677585 0.042606751595788458 0.070780761120391528 0.05369396458758055 0.061226318790874437 0.081386256498344606 0.031765143707519379 0.038122129203709658 0.082158083795812548 0.095323864637705258 0.072502998892658654 0.078412559626982722 0.058670138378940556 0.04160646911782824 0.069210968527641303 0.069684683628981378 0.012916668223432407 0.086959051743289245 0.12141648993516664 0.023921114347252036 0.035577677888217939 0.091187249777201745 0.029017587171707864 0.080720140038393201 0.063673698785832428 0.02367218226209963 0.094586306156935696 0.053486812335047249 0.016020407901315925 0.054449635772420117 0.10227013634225866 0.059034628060629243 0.030197071349636968 0.044611613498929538 0.03604682515357923 0.063769457233590524 0.11087069623472569 0.052663363392160829 0.11619090507840722 0.069479421468324906 0.082786301889229905 0.075689391886299071 0.034926948554016152 0.054874157008482201 0.046555569088445672 0.047198182801898449 0.067874094986875827 0.054980210725430495 0.1335931956133887 0.051169699966297111 0.039515927231828202 0.11032511377710413 0.098309762203852444 0.074225828497098592 0.061439245017523403 0.091377215924313887 0.033648152656528818 0.040948609724247409 0.024046999051268961 0.034603208457050699 0.081821380923773238 0.07629453068726641 0.066045313288769586 0.080669421039130509 0.066631053384418978 0.11612621194360793 0.061782581222162188 0.062631090400966385 0.067410403795769042 0.04573486176233435 0.057200166356824414 0.090159099011462476 0.082400356270945607 0.079996680408996046 0.055695410734618159 0.071564348380760659 0.097725855307372156 0.077390400720390079 0.052774461435851669 0.059280270540562251 0.043195531021563052 0.076964516139222089 0.047029311802248508 0.062596967169667769 0.067445008765069731 0.050919334732760745 0.077945117082383553 0.091374520970365164 0.081081128553563822 0.086347056469218336 0.10753167324180918 0.068583530177591237 0.056702464848932176 0.062459395882991584 0.064279144065165175 0.077851111663490208 0.062069854599788456 0.079929973280169458 0.026615808573684795 0.048458282278525722 0.029637214251554501 0.044829446480211338 0.067977021314451505 0.035724427965327814 0.074439584682969642 0.021818204000800468 0.038163766055498427 0.053297946568120501 0.030798616512707596 0.075975446631345755 0.045866522788291911 0.027585775979622484 0.088172470309489437 0.082757588846402816 0.086992517993846288 0.052263019677208561 0.068377014952542961 0.067665758553401387 0.059469428398369606 0.069978612972307966 0.04678744209383328 0.035856382389995008 0.046879095913457812 0.076790569786857443 0.0096511879337797882 0.051606423286722714 0.085753664384193753 0.069555092734760293 0.048660906627499521 0.13587821987965057 0.050137377654059387 0.052133726868566141 0.060310586453563561 0.032733112500605462 0.078127446512023038 0.034431035934643611 0.088415036338595043 0.03372966460109144 0.067259997050545681 0.068178342339424894 0.094860464639095116 0.03909313117687653 0.045216410232260092 0.066968286514675263 0.069327500282747395 0.096587298155897186 0.065090693232389835 0.058483262897876746 0.070543666383604403 0.06339997632470834 0.068234483235998844 0.12842607162511127 0.046233901757016097 0.092820808023432649 0.047385040725669389 0.036523270832197745 0.04518892024924246 0.088119551730590523 0.047306710198402283 0.068708540231408599 0.096961985188437669 0.048778700207613733 0.059285216070603497 0.048408511774029689 0.056655269346651133 0.050482838920872575 0.095262605631753997 0.13783648919455227 0.041546514589790966 0.051417326735190519 0.090903437944609145 0.050897118286073219 0.078100092547081459 0.069218547057604385 0.077869444521571338 0.093608302514026104 0.053788338113180151 0.096219926857106869 0.01951834451139654 0.11995022531192531 0.052188707050426247 0.064668362872265947 0.046403136904600295 0.040653893656055276 0.15393012817737581 0.074337980764122 0.093451928023794317 0.034419086806003613 0.048668539565708546 0.030005852842731936 0.10825983679649091 0.071280629567410284 0.075384254497674663 0.054198592168938721 0.068974213918176541 0.042819816260164699 0.064601165257287499 0.029958587947258485 0.046599344976547684 0.089581420609495768 0.062712992986483862 0.047372758347999595 0.050101609700279055 0.082179490795168633 0.064862451850730113 0.056897104180352646 0.029316964248110616 0.092187840652099284 0.057173051014438432 0.076407526846127449 0.058969309953267809 0.095197333260288203 0.081638085900848339 0.079468829356785245 0.059451642709816982 0.078129093095374441 0.070668346578959429 0.054785012219722574 0.051156444766016246 0.031713890213609118 0.072181303823046494 0.052599183084606607 0.040492477293037753 0.055169140579527827 0.14726689237848467 0.11277582152324141 0.059484221579284416 0.084413341791668997 0.04128137435727635 0.057505036193519578 0.082206718858855388 0.06440813839944276 0.029845345502202879 0.050831470234986215 0.062596610796140442 0.069759120268139602 0.056790431807155595 0.050193846025739425 0.055820997994554339 0.022884668771291205 0.040657249650640583 0.025770664810424893 0.024825529841388812 0.08222517660929507 0.091155580509919384 0.051197433617895312 0.047574774573765168 0.063923465879487829 0.069562158627214377 0.044516070723174796 0.05078971553581195 0.07025251043361698 0.064783234151110244 0.032655707675585441 0.036151032987694946 0.052204549056571042 0.090742943792454331 0.046783774538109515 0.038517828304800494 0.044443861451293296 0.083713327499610107 0.04968721872982905 0.016848910510316732 0.080179268498440939 0.054257099295811559 0.062404219109317448 0.064401110038275242 0.049920443264125307 0.04179911860223455 0.10609650340868783 0.057964902702530255 0.084643684401812913 0.028704663578993088 0.071052968972059163 0.07916328617887762 0.056015470142263414 0.057838082084158825 0.063586978252230711 0.08974550816617044 0.071453285187006541 0.049747634938251996 0.08993183203783861 0.023636998440304136 0.041351617580984941 0.050377574981331108 0.096223404356491155 0.066605244879287984 0.035747337392604744 0.066286586576052811 0.021453600442186117 0.079660603390748694 0.1043218215973185 0.056814738300012171 0.04624567192589913 0.057462536521312141 0.031786967222538612 0.085911543668410917 0.080117372073928064 0.046232850259526212 0.12039343075112185 0.086237811207654613 0.06691909440921362 0.069979476802221205 0.058929992946555571 0.10742965082863982 0.029768775721139999 0.085062698551555946 0.050936464625807587 0.034578126259075484 0.058685321511714024 0.095735427568611045 0.069950217178654212 0.043121855909652118 0.082693186878664213 0.083188975790678618 0.070372989032103594 0.058810621465397603 0.053265052448910465 0.090702789846572568 0.10774220250571381 0.062145043427848649 0.094515373022540025 0.028593689684710929 0.08948494783908828 0.054154783163792838 0.061915373415336837 0.047425174145388445 0.041121365677938421 0.040670320664762102;0.0069254981311552746 0.33175621967346813 0.004188718356656706 0.0060553406231295039 0.0044329586515708622 0.010421837730895642 0.49994567035066684 0.9420359059998431 0.0085390877103593554 0.0029688056516090923 0.34785453513202264 0.0070906167495718847 0.54554999521346548 0.0039580357407057653 0.15213950916948302 0.0046690153951491047 0.0065710077329215327 0.010460182484044483 0.36401583729871601 0.021540474637104467 0.82162424272162327 0.0070745956144893894 0.18438866859035696 0.16883917270927978 0.0045876165203775996 0.0062822953120149532 0.009191877113640945 0.0025931781815136863 0.0062464741809057488 0.0061042802986433446 0.0052000317583055494 0.77745340271053176 0.0091966003884282402 0.16697155547653261 0.0040561404836866348 0.0060431703270473177 0.023387854639876911 0.0020408679875612012 0.0030989387897161287 0.0034972120588776202 0.0049137832729443855 0.0062040625669478634 0.16730474702303461 0.54369814393539084 0.35455614375967903 0.010846286444307358 0.33864167002309753 0.018559733061521349 0.003895118228821999 0.0050758530563956468 0.14356170087173839 0.0053530331769038927 0.0089658047660459532 0.17315485093031666 0.0086553599660800663 0.0035230808935739996 0.96335578369240027 0.0034251727723579057 0.0033929826886542978 0.1616395838427894 0.0061555725959881336 0.51948435057008147 0.0067884292641382654 0.0055668721774600697 0.0063537895368517058 0.0077966335624893657 0.33832801368463744 0.019122204553911015 0.17527813528988623 0.16003223936245642 0.0081701895637839826 0.16889825335481101 0.0098519397887103996 0.4475493060042029 0.016325090385772102 0.018128039504255171 0.010599108949210789 0.16694222657073327 0.0056153769641018366 0.98196273636316977 0.0058539556270118948 0.98211119666876356 0.4486638497975835 0.022187385190892722 0.003658690875879556 0.026192919451069881 0.51868309142326074 0.019702548442474245 0.0059718731169638994 0.0098338041729336429 0.010443414994575548 0.0031935091791885769 0.46547783267762088 0.62250818439960509 0.33498016476218134 0.47414342897708922 0.010516123290086034 0.015259216708196993 0.013130512137198437 0.32270162089606952 0.1783587182744161 0.16968859094451258 0.47557788719183292 0.0073677607534745225 0.33824828698074388 0.0052764093774997347 0.00606494013619319 0.0054241702077143863 0.0043042427482975669 0.005965530263029678 0.18536357386439273 0.004970137931317788 0.19581065545495879 0.0086682584193603345 0.70705962909422326 0.65348065390078414 0.0061207145381060989 0.010109772713468721 0.82852166843322284 0.0035615533516380072 0.057325888416996262 0.49140740272161698 0.0058242302349706294 0.50271160664307557 0.17126508865072512 0.16848747885517473 0.0092996390643610496 0.013034934415916426 0.36828084399522426 0.48590259912276285 0.0036903903122255922 0.0081496141373686489 0.014613105146441863 0.16225366106049818 0.0087708167316287236 0.0058569386367985339 0.0048043229159365208 0.48234618271845253 0.17233840968151756 0.1731102157254992 0.0095052523483517663 0.1716833845568265 0.95714348797001425 0.007193384602594383 0.006229697752454434 0.46816167535246289 0.0058651188671411079 0.27940681875844198 0.0064485163469957286 0.28590497175971458 0.65419241239271597 0.013903070719427743 0.0040804175662554551 0.3429570112068317 0.0056445443834762903 0.008326321540209701 0.63455985933907089 0.0052630567824000201 0.16636016822922459 0.19683714427652044 0.011835016272409293 0.0043684405896077822 0.011056586649111588 0.0052728446279317479 0.012717937294324083 0.0022354163220507494 0.0047566233737735665 0.0072222615406635545 0.003283044177117187 0.0059443419575415171 0.022182602419545672 0.003520802508765246 0.0035579638678835315 0.0049075598861954501 0.22172711400759229 0.0091379227832634573 0.32627037024015154 0.003146879427876002 0.16366746535600354 0.4782923396559372 0.16904929680419023 0.0038297673108462068 0.010773349850650149 0.22023246282816394 0.0059772546758671595 0.42830722885166284 0.01390336241172142 0.17289677148406948 0.16981067164968092 0.0047216646935980952 0.0078851376473382251 0.94173544305785239 0.0090380216645770568 0.17635815922861475 0.0035432435542975113 0.4812526120510604 0.010093268388446486 0.34546697716933672 0.0037849093087586917 0.0037209826633270273 0.012533132657960576 0.0049628161755252932 0.0064218794092927621 0.19336210180071281 0.16644935327291535 0.17284359316186831 0.0066828000672773027 0.0048657224642354967 0.0033054260636966116 0.0090972370672123826 0.17484315250225294 0.0028943603153625246 0.17039694620923737 0.010525421804908626 0.32846981348383869 0.010691664880098102 0.34430696535927241 0.79069842298105053 0.019572681283269659 0.16087333381724317 0.0043466921280293745 0.95575945218050351 0.0080423779344757917 0.0064145615818552472 0.45119422431750378 0.022189579993034905 0.96454550652389348 0.37349233217024003 0.65199029077590087 0.0034055733548813698 0.48934805528322173 0.0031680246419676329 0.004046947635987886 0.039212659627665729 0.0098950408143156973 0.013032791680977332 0.36610642346584105 0.0056383367000128123 0.0033577761273572938 0.16884672176340762 0.0044989261249585941 0.015014295199652208 0.0068233667039445806 0.18999199543304932 0.0093450157208079948 0.0046511141641386988 0.0022034344903954142 0.0026013858849788588 0.002992576119864262 0.1809570608667386 0.73913126466047352 0.15428951112704276 0.34140121141106994 0.23388434732435873 0.32389974244139774 0.02113986332878515 0.0090019035272404513 0.0096174970675137299 0.0046693442523709668 0.006477081611595421 0.0078378299380610847 0.013796646379476755 0.1668139593470398 0.010367830349015023 0.36144134372011627 0.16328978902433966 0.0063213965584427659 0.33232142475072185 0.47482894285619576 0.026098769382349656 0.007661062681150561 0.0058290104419902958 0.0049335766173772286 0.16275483419073716 0.6570407791885714 0.0075004882138913678 0.97625624384906673 0.96987492530256803 0.004452145436830107 0.50496283329967606 0.0025888903306715135 0.14750874530100638 0.0094751455663110405 0.0091210565149058478 0.18059282271886654 0.025284827356086684 0.022678929789448139 0.0088847991723320554 0.33036768251110071 0.0043433568716380617 0.0043825907580687948 0.011939266863007923 0.78845043232475875 0.6525286561431255 0.0060990053861664784 0.0052893541841388808 0.014168744192585514 0.54134225144560055 0.0090783687827156248 0.0081964635607340956 0.31603353853266364 0.011272508956694873 0.0098495448362606423 0.51990920139644192 0.0019161505387097588 0.32495146027372801 0.16213826492888656 0.021564424593817494 0.20253616131124935 0.16635064627011123 0.17254264293412103 0.013031687262282314 0.0089487850546053956 0.0040321106405819184 0.016259913755914884 0.0053140629221588402 0.17361976200645307 0.0045407209361852541 0.98390748737458478 0.18388975081563463 0.0074460540767173049 0.48019205366507511 0.0079238297147320932 0.34202091229687515 0.50497626221473724 0.01198458436294738 0.0095213275040623695 0.012519579487796216 0.61688772469592068 0.020395582624539877 0.0054596340221111841 0.16772738516145949 0.34010790057165152 0.49223840068841551 0.018313519809390118 0.60806639079185476 0.17104009184477661 0.16875552804094707 0.31864677955488707 0.0048450641617574144 0.0039227622773630264 0.20442900667944466 0.0059544998052818068 0.20869624069426515 0.17039036779082517 0.01002502653462951 0.76762062180248503 0.17049799159028267 0.83294491689765127 0.0053783361732969827 0.010010398293882561 0.014732690595126056 0.025803716350658843 0.35094707183583418 0.93605817234881383 0.16856460621786504 0.17545893690487874 0.79860024458485857 0.013236197556741719 0.0082387965067308704 0.015335736874816489 0.0052796371630887736 0.012361125256563545 0.0068266318104698602 0.0051539520384361014 0.0082050966987697593 0.0066383680304918594 0.0064172342978315276 0.0099356883715544936 0.15924429847452645 0.0091027058451897975 0.0061102795609927693 0.017286948902858184 0.16795645654302555 0.017806766313481284 0.98076362247889581 0.0028178405317846565 0.16070417470742984 0.17949476093259337 0.0094332796552146648 0.48401547262771677 0.0059571033765413745 0.96996516073152228 0.16941736819925418 0.0088780586222426926 0.17727388163874483 0.35431918928763789 0.45371881259573887 0.0075722509605032386 0.16731533248271629 0.0068762087103126984 0.0082594897408458379 0.0018486988292987559 0.16681894907693326 0.98584555390494222 0.31849449128081941 0.029113745735924682 0.49998090675225287 0.47671187048573804 0.0089460985810700146;0.0029882931241539908 0.014952912967582544 0.0012667205373154606 0.00057740433280645622 0.0047186243390477693 0.02665226925983618 0.0025533349306800794 0.02271464499138709 0.059707613887254707 0.0020043400225628013 0.0044292288280679756 0.0019812870453528816 0.0020472538058857077 0.0011394662580238623 0.0020439765955375159 0.00033013229284122085 0.97475693996189239 0.0025721325256231491 0.060230658934980495 0.99997099614549101 0.977178470853583 0.0015649200396322153 0.026572298750194429 0.0021765437644975173 0.97415451270486364 0.0080427060994928291 0.91564197731270924 0.0024387554310291012 0.0025147227853226971 0.0063440454830565613 0.0008717304557489899 0.017838727191363105 0.00037849012813698257 0.00079658377321208433 0.002804784881196508 0.036371634900172554 0.071276292134936151 0.0044732657083700056 0.0011091385230903444 0.0015646411271937404 0.0062077734318666334 0.0031969676737699732 0.00108467383839633 0.94898653278938938 0.0033871492646954113 0.97819556138159136 0.99605095036483926 0.9841116093271447 0.023250987834887653 0.0071970225219442968 0.096184693758816553 0.0024746025137626711 0.018900883864398504 0.017822026744100553 0.97406237471155199 0.0037781198234931629 0.093319894011431703 0.0011362875679710232 0.0016801971561536877 0.013052426792263917 0.0010963951110675334 0.016909073980514638 0.0022852576479202866 0.011165819711756054 0.017369401547972556 0.98116757733315729 0.0022757459328200881 0.025592594568935385 0.0013211688602614727 0.0033147793955217953 0.99628063900003805 0.011469264770958219 0.0047176091650350275 0.011077893786071089 0.00065667808869599212 0.02971656767688172 0.0091267942510293125 0.0012568840975677573 0.001100852939164254 0.016198752397199655 0.010244296696188411 0.99635891483744288 0.060789685509522261 0.026015608261364984 0.0014018311035754983 0.00083243269306479742 0.94017487451004067 0.95763633874301157 0.013483794454593937 0.0018341855760140799 0.023903483434974174 0.0055391133810649418 0.00319919899154297 0.018951806425807238 0.0013584383351771942 0.96325973889467864 0.94522161710728514 0.99971931745341625 0.0023855599861955365 0.09383795542018368 0.0038145439893883882 0.0027505703918792421 0.0051202181737971322 0.0012891357322321502 0.0048811892703459229 0.0025739352698488948 0.0031791539905202692 0.0031848063899532915 0.0027412910874609953 0.0024278518502722354 0.032493465568167214 0.036144968589132402 0.99382330879774716 0.0040000972157649799 0.96042184517566886 0.0012365556730123285 0.006699985804281783 0.00036905166860544907 0.0035205770566265958 0.0087067728284854397 0.026743406694991607 0.026138827572365856 0.0025610544540960235 0.041103877742443604 0.0053422051936177729 0.0032784113681106355 0.025390873827712462 0.0013842274486603997 0.92448947586503505 0.99194309199993336 0.0016953038480970195 0.003218616745194928 0.03825778382501914 0.9225726569954984 0.020053208586213081 0.0010312682568362533 0.00087494226763409303 0.021380253014462437 0.69564493169168984 0.005902227222212438 0.013601102758182741 0.0087389088605998363 0.94310793060606934 0.95299810874611568 0.001443676404590968 0.0016688917771127743 0.97813592166758556 0.0048601646323423236 0.0039359154782592854 0.026382364694363267 0.0027476646476161859 0.00049392931262993349 0.023119096201094556 0.0021293947649200528 0.001257285636797489 0.0015238702780899283 0.020259353798836564 0.35777007487631068 0.0016229540923285012 0.99748724320929205 0.0060873132691903128 0.0011862413531637498 0.00070799940569921994 0.0012429312909254437 0.9937374760212806 0.0026149765420617793 0.02216847891294086 0.0026983735849681217 0.0077195210044130992 0.002060609032124659 0.00062126132737363592 0.0040823305231914506 0.0051755942295440196 0.0013858901936612555 0.0010607859991477824 0.99056638458460278 0.0069742127074348629 0.00090064485745273753 0.0049102338500901128 0.98655097929651325 0.037794315334292165 0.000234033686830821 0.0060792832461798183 0.9910246098824349 0.0011314579551374758 0.0036727799199325626 0.028199574302773017 0.0013760453226063889 0.037370598818637822 0.0048532359470022891 0.019086961023302419 0.98904296434183925 0.0010982699703235301 0.0012937566035579559 0.006942708295926611 0.00017156856938668372 0.0018854052385628528 0.97666278553810271 0.013449025953583982 0.020914689932053074 0.0023068755681266702 0.025603150817513281 0.033724849873990964 0.068758111315070439 0.0097448825732238814 0.017179745471016854 0.0087453089307991897 0.0022372530129151332 0.00057211124698088337 0.0004831157407228645 0.96576850839057471 0.00091745044243634873 0.92943075460957281 0.0078652289123203965 0.0070326562058569183 0.010800943620780195 0.96761832919462676 0.97420044444033804 0.010476057656420042 0.0012154641033392383 0.023267843730533797 0.021080332905083349 0.0011035341685424356 0.00038099219008617074 0.98992725839436768 0.98805950911333884 0.00040216194635426714 0.0013436149634558942 0.04698854940021964 0.0012532766242009763 0.025402694532814876 0.010083654478790503 0.0032423831571986215 0.007110595375360516 0.9875413703887167 0.0024412563570401502 0.017849872479431487 0.00080219126038722627 0.0014243209097598291 0.0075250069820915729 0.016642194015474558 0.00097447595254827402 0.013999705929772989 0.99914186540237293 0.0013565138754193882 0.0024388175522017741 0.0021123624159228708 0.0012575806290733515 0.0048109013474040858 0.95023430746800697 0.0042951666769508266 0.010989796675533599 0.015721668153362726 0.97919128651483234 0.97841195571517958 0.010056993761218685 0.024687379932647864 0.0030882622958536992 0.0051406680987485971 0.0042269702040020193 0.0014272727049835401 0.0034517009965595838 0.0011108854071119241 0.022448200089341248 0.98134688795226843 0.0016936926255652295 0.002071687632084364 0.0040634566312434299 0.94608991101410655 0.94468770934120216 0.0066505349305669452 0.0012835939430039913 0.0042841085858763249 0.0012924997517573375 0.99027645146854026 0.0022789647842342857 0.011712073230351946 0.019462737311476082 0.92337116545028386 0.96156258359063307 0.0012078511143504978 0.010462708048113761 0.0053921564435870165 0.0046822697744992323 0.020407836479747643 0.0016035103152885408 0.0013481116167964634 0.0015628831206216675 0.9459785231204052 0.057266483399348526 0.0021233099682625815 0.98876505681435256 0.98267253460242332 0.0026555075039999872 0.0015015016066745495 0.0011924199364811909 0.97304808308752566 0.062720989922911252 0.0016055888047100157 0.9781086060675328 0.92538477541293029 0.0033814163603317145 0.030183882989097976 0.0017508461515375177 0.0023974762417176831 0.0037091136874564446 0.0050090558520368283 0.002842917686088276 0.043661291992963806 0.98943161325537943 0.0034482292855557363 0.0075258528398664745 0.013952595307208352 0.0029465379911612611 0.0013833730960066098 0.0018183285709443906 0.0042091306153336869 0.0032571168865923325 0.99165980965335665 0.8900819949446811 0.0034906758756568347 0.0010448366393267729 0.0025768331229374408 0.0018267643807060824 0.00468711797531668 0.033515635089139607 0.0043909811526743657 0.94730215225462688 0.0093834621910285788 0.00053758625588122176 0.0026690350240022704 0.011748603019467535 0.017018242138748176 0.0051339887830471869 0.0020205011613741684 0.00048411356291216473 0.0017836334839365731 0.95491536378596564 0.0022730594747575662 0.002349622048546109 0.066620301686525663 0.97589451939391825 0.0012598674427239229 0.97895870568220833 0.0054582432065034539 0.044300197132098242 0.98816748546518141 0.0038979996438718162 0.0070803977763107071 0.022554639925050975 0.0033485559528486108 0.0012523546803643499 0.94204827531127922 0.0024177992015494143 0.99704636690344295 0.0025551007484621519 0.0025848320259301946 0.0073562574238222869 0.99985822062432106 0.99048668972404108 0.019650069155938581 0.012870289803701397 0.009399645378955223 0.99289620669626233 0.0023820953157108805 0.0019077919526392965 0.0053474436003348525 0.0015643257521871655 0.00052759433105729469 0.0060601279014427193 0.97388231748900822 0.96680222456426756 0.010570893290991234 0.022543234375406309 0.0027043339181645021 0.00089078772670576044 0.0016649616622873733 0.0050647081527029235 0.97719702730746405 0.98689412195535764 0.99269506860933976 0.00041269941220040232 0.021748212957550282 0.92229993131832089 0.99611857281041538 0.01619408713538828 0.028584370087231234 0.0037827030919080754 0.0023757582293044482 0.0023840307816868256 0.0028325010027501242 0.99905576805468677 0.0084111017366934344 0.0017182649843720352 0.98277440565970553 0.0018487247553572112 0.0014544913453264818 0.9924717462887499 0.0026174612682662445 0.0028104399591724082;0.0078660537525399154 0.0086075002024630157 0.0041623513456961556 0.0039540654568868388 0.0070564225750093567 0.82355614829957724 0.0023920452201377741 0.58658183225401828 0.020064844529286995 0.0028701174841929133 0.0024615650484749053 0.009577120199557981 0.0040350648034019462 0.0027507639980308722 0.0020518127252702415 0.0025155445088720966 0.0051036397901931792 0.00856080333046692 0.29218295437610375 0.70941610400261301 0.98792015859348514 0.2821559221025296 0.1562587622865142 0.0026646288398020882 0.27196527190570963 0.0069877063344081268 0.56205640552515801 0.0024216065649138234 0.0043115761440265772 0.0013629121961475884 0.0019155900727029843 0.0096344344788627263 0.0015603914427043208 0.0034459436361651916 0.0041927377283176694 0.43350511990701768 0.0039357281267080923 0.0059759869392009132 0.0045597865447840665 0.27371317574602505 0.3126242270075334 0.0063862713521145023 0.01526113538954163 0.29920987202867938 0.0060366233748514256 0.14582353465678963 0.81409359801030967 0.70670700641118755 0.72668157765319474 0.002944747491530981 0.96888612284207865 0.0027145228920890762 0.83426810727180789 0.84580533009874082 0.0086540628101468252 0.0062033733795136487 0.42744123791895061 0.0057022368216274287 0.0080670492161078345 0.007749531488208776 0.001220427257469773 0.031193242651092867 0.0018660724702490674 0.15908897079372633 0.961414078028626 0.44784446373951109 0.0025811637332445337 0.0069064605930659207 0.0025558016565609123 0.0043635980952029148 0.97515263793956874 0.0055025404142607197 0.0051603856176884429 0.014789105037159737 0.0027820674113810694 0.46436815219541855 0.022102669243216397 0.0047578757639984105 0.0045423731196565838 0.41966015901473186 0.16248226865153303 0.99074049680437004 0.55953163184831167 0.013072412430039803 0.003060919211591798 0.0021150526875976855 0.58438005184241471 0.010057441808698891 0.010253354790223256 0.0045894515052287681 0.15856294252183634 0.0045987839866344343 0.0094782723872523077 0.012704361286587416 0.0022369522300392164 0.58723312184727039 0.4120232483620152 0.73075618774820716 0.0059890106287513508 0.97827579093795802 0.0076110601085559067 0.0019417800200652669 0.0087536483199309265 0.0022868090072816869 0.0020699326578502014 0.0043171329096597759 0.0032943961947318225 0.13264422690965499 0.0052772595996676145 0.0056801937980755675 0.010168861129496422 0.28844783579744843 0.55724114598496222 0.29676722361690866 0.14721998036770748 0.0034231691280373231 0.0037434704330255204 0.0025915926781651102 0.15900373992262939 0.28721853203214093 0.96821636026955282 0.44686215400924212 0.40362822033472662 0.7137667507937856 0.28698545941097048 0.0056721547074056328 0.28188606849410008 0.002784915502023695 0.0077991425884520304 0.72124602967689289 0.0088197196452196609 0.003438678807701464 0.82272686914892601 0.0063769960221908744 0.0061408574517274874 0.0028773148301408304 0.0022665269021610686 0.0056536132295350412 0.016231535897933948 0.288079260530273 0.57101122359701595 0.040708297802555547 0.83345342553098289 0.14827690074529939 0.0061091828700035877 0.0037405308334123458 0.37204445926115493 0.013699125400768147 0.0036583845731396939 0.016549076044226216 0.30169102749862264 0.0036231423907548861 0.0076782744926896258 0.003602098473194734 0.0037213062702821111 0.010244155954591331 0.54790100887752913 0.0095758741086172158 0.0039309864688605043 0.83490251623587364 0.0040586915567873954 0.0034971408173529988 0.0019548978950284504 0.30425249087359907 0.13675286312599705 0.0041589166151241898 0.57543420775918275 0.0020894801310068472 0.28548830149865495 0.0032209000044574249 0.001300538060622569 0.0024900175829586819 0.0040495518610879156 0.0043958407534204881 0.0030429522020783899 0.9904937011891185 0.0032270468877605256 0.003344837320226141 0.0028869359220046139 0.84747071389833795 0.84666132965709429 0.003013813239583692 0.0031571373782182661 0.73281131128068588 0.0026753468421395667 0.0063760298522207142 0.9706138288170103 0.0052366266468776334 0.42958763824363977 0.005330833000077465 0.44451644998252093 0.98840862634465387 0.0023847013067961448 0.0014142605368413978 0.0061076128437189542 0.0018394971757726242 0.002226213277973961 0.012345810736443434 0.13279187445925852 0.022471628936787724 0.0053184264302579562 0.57277037014397936 0.0032399386845989573 0.12512580593050723 0.023604980043701679 0.29029959682559425 0.30533223572481016 0.0028962750763563729 0.0033052291595328702 0.0019978628666070348 0.7291321809372564 0.0017772010523194471 0.29434553818766579 0.002542791607712416 0.0043771610996526369 0.0094246104737794843 0.15916954886735701 0.58169763469492997 0.5554347327568897 0.0048679643709184624 0.8274660330125343 0.01408791565213063 0.0064237761218665299 0.019059770529415893 0.97954558455896268 0.011354720642378196 0.0036785591354164902 0.0027020990479931883 0.83920775772057421 0.0032416655734919327 0.74413465082028574 0.0097782192121780402 0.0042780039641081985 0.28452237174402673 0.14031859205639854 0.010444494750352189 0.0077058151675683121 0.0034617494460611755 0.0030907067180283142 0.012192573714963559 0.0073214584168357997 0.0016866725704174045 0.0025158567141999916 0.99829606565655982 0.0026146363382410654 0.0047529473258407324 0.0026566436298305273 0.0034530879415909086 0.0097265457291210652 0.015632705261937257 0.0057666521606926638 0.0070102768014483419 0.16246651757050906 0.97918788805042745 0.016171129482216006 0.012517631482619685 0.0053100897678532728 0.13333971732984756 0.66853838221632977 0.0057283979361481517 0.0051982544571806556 0.0060857852016971145 0.002252715748834149 0.14717011649417744 0.99002956932284203 0.0011177625649578745 0.0033033055855711205 0.0033181670239470591 0.015325510759978683 0.83873475488905469 0.15456354992444751 0.0025988335494916467 0.00704539676017105 0.0057214016163311208 0.43914204923749728 0.0046376256791436097 0.0056636775621393132 0.0058005807757727425 0.0074513694428526983 0.1749679904887543 0.0040312418758003937 0.14370084343347148 0.70461586073274352 0.035067242914506025 0.0054414992286354298 0.0022166283286238191 0.015424563521061883 0.0026478294252215186 0.0062952950855279634 0.0026892483809581621 0.0020095218411846213 0.42585737756879727 0.97014714350419928 0.0069828121499783194 0.0049971032692059294 0.0025336913264507972 0.017735313054363863 0.43386750081971337 0.0021631512644454645 0.43303622676654169 0.87291795487724988 0.0083697570106324552 0.012235200818464529 0.0010887832296118003 0.0033691815695357382 0.0040536568592109889 0.0034463004829149218 0.003426892361135558 0.01282650103500417 0.0055617370656890121 0.14719609838037179 0.0061613188269062317 0.012495637343443698 0.0043507473483992967 0.0059552640580546679 0.0025138631716069282 0.0027925081763013572 0.0023718973521251671 0.55924319329708294 0.0088030954363289282 0.29149806547754498 0.0029213725594323808 0.0058974923111680165 0.0023698623466351476 0.0020804311500587599 0.81616968136966894 0.0011744158421084846 0.0090532546336927963 0.021752839020419461 0.0019928670521761004 0.0030063639252039171 0.0065612318101926116 0.010961152671197899 0.0039746130114204723 0.0047809915766237913 0.0017874787913914087 0.0032195536904427989 0.58357991428056533 0.0026820359441911776 0.0046878338180468705 0.013578610796681071 0.46018718549372728 0.0025398498990280268 0.40643157675521557 0.0067541772818068054 0.69924560289675886 0.82833483896573556 0.011946209205969149 0.0050530430784180231 0.0081448484377191557 0.0036628585289343882 0.0040231583801501481 0.012729394275016286 0.15061762810903312 0.98911692904282811 0.0045025629016871814 0.004590957217896108 0.0039553251740214786 0.71398998551620207 0.012075241600431779 0.84327137064137947 0.0064498519464888677 0.0077808616668096839 0.42373580913827941 0.0050958114841300004 0.0033523769962664112 0.0018456412269362982 0.0018727199384380451 0.15177935980053439 0.005758319123514777 0.99324237688737138 0.5858507681807682 0.011227271426519076 0.47924411157008351 0.42351732533792047 0.0030566329694252689 0.002850855310973956 0.008159967375786354 0.58481616871732789 0.007555926359365704 0.71135753914815392 0.0018717892114344934 0.94917460866133707 0.0075634048159459854 0.83947690065797675 0.40355525766764733 0.72366034488571951 0.0024655772044854685 0.004128654361061081 0.0031469915539788281 0.003152516143195032 0.99451826667652488 0.010070303149995859 0.0047801945354310265 0.44841863214938049 0.0029188606736729582 0.0035233960755849426 0.8931965912241695 0.0025307083942887414 0.0015330361052689214;0.62365183093749221 0.46557800524672316 0.13233853683446661 0.39892114471149343 0.73016001243572914 0.13522465492241775 0.38552478731564765 0.13906541779312134 0.0032157245032351242 0.25401982341932994 0.53262264350973876 0.0054294817848581237 0.20826609825379536 0.21071840925552152 0.13499321276936652 0.14183306485601649 0.66716133145671852 0.13372374932787828 0.0039673422676327428 0.27414314998414413 0.0058353671381050978 0.0026485588172441886 0.007869998373221861 0.076546443146996226 0.66467938693877004 0.34276312595322878 0.53288818485117251 0.72599072504501372 0.2074958075362196 0.010943174776574312 0.2745646253247922 0.062789449006323383 0.21204599489414722 0.13759431225770513 0.8028511500355765 0.066676945761659487 0.0019012395129013901 0.28149219118484892 0.86448565909486219 0.7342048288600791 0.20124084840056419 0.13123593405935316 0.60365604760580038 0.0044332989212516744 0.34019366828249686 0.0081603326149517971 0.069734274186923892 0.076078893721889668 0.074300047982501324 0.54305965724473104 0.40706704754806122 0.93144087984309221 0.20206770175139704 0.20466480270863646 0.32645301409638122 0.0059549693376180967 0.14017791496278106 0.13604796532152541 0.0033532755087783972 0.070878920098790252 0.068147457267248676 0.21236628756884607 0.8596009243873578 0.33694251353528565 0.39360909450181736 0.0064662993073108087 0.006105104590741128 0.0074062339880248285 0.74123896548802648 0.0045561865032222688 0.20649958743384977 0.0023198501588115564 0.93188280085527686 0.0081059262526473712 0.5272812851848605 0.073532277425727877 0.46598970444204063 0.0025602509266681901 0.068572508046039343 0.06929600338896251 0.20618724914723602 0.0011195732284450853 0.8624982431817686 0.067761382557700339 0.0021351481548848392 0.67030475606187978 0.20937170031200869 0.002550434951945969 0.66115118478372559 0.33855978834477279 0.071451632572980414 0.20521800317169989 0.073054389475777026 0.0056817995854364029 0.0049826834793906746 0.0049196138074825615 0.0027586013578540583 0.07230671301229441 0.072185305302745417 0.47072925075774924 0.069135679197831257 0.52688693431083666 0.072461462087520592 0.1445131844347782 0.0010156339725737428 0.20110303552121958 0.13491876604439357 0.0084795793064477796 0.66647869861822751 0.93455976788035244 0.33351228892339491 0.28686833207877971 0.21869406128652266 0.084243143623198596 0.13705322610777351 0.18235799661366298 0.53149437179115533 0.13140326022984991 0.33403653122233268 0.27140796719911919 0.0032812561694275716 0.003123485480878721 0.24220761962264192 0.33277847423390206 0.002371316757820729 0.33900818469425475 0.203571934855521 0.20523373481547014 0.0067241012519711624 0.13556936796075836 0.92750340466748138 0.077240751661219409 0.27297820273439399 0.0035908259348519625 0.0055383366394727122 0.0070027956744752057 0.80163557252504258 0.067532222330840982 0.071184701011356766 0.0075308114631854224 0.0039365298191985955 0.0030002820119681061 0.0018315743055551282 0.070467809902283393 0.20592081484325611 0.0048512584673614211 0.52682778469006353 0.21038130315697923 0.39633915958598964 0.8565968720362459 0.0079363874163972479 0.73060307886990472 0.005382652014521358 0.0054960164553692053 0.069406627933741583 0.20445122929533649 0.0023018911166226203 0.27590156045506631 0.46015979084780839 0.0043481097102925194 0.0071798960765606396 0.0031130769423055975 0.20461013343531245 0.27009240372993237 0.060914714371371033 0.0040523614139575635 0.20401094950184168 0.0053779985234801864 0.52181142530452673 0.6657300566306299 0.061983170980512522 0.075596474116515211 0.66742270421794858 0.1234482197845104 0.46264539565927976 0.46828829613401979 0.20206600554822579 0.012689997254528476 0.0073100758647403228 0.13770666436890458 0.79388583182453565 0.59617053547357046 0.13710123875283889 0.20923543902722971 0.27861182073343571 0.073370300479195558 0.0074024885889431846 0.0031843556438396915 0.060132890914856657 0.33514672479198765 0.070704682384635717 0.06944887765222954 0.14025105609229321 0.13917604009097934 0.1382821899487453 0.06895712176779456 0.068941762830222575 0.070685282348130526 0.20196814797796148 0.41529214555797866 0.46564528852540588 0.32768010877610937 0.79813405010484972 0.27260855232018266 0.070626380728413818 0.3362322943481949 0.2130862758025609 0.20324351911300634 0.0011701348621615015 0.0014653122653376085 0.069220147349648667 0.58672658228508878 0.067950568744730933 0.061478816840034922 0.0025335445539434514 0.32478646401037065 0.47129397233145232 0.0019941304586910819 0.33724921168208444 0.65924633462580617 0.60284509975579226 0.069701491639627577 0.40890406892101805 0.06918889627503369 0.39271986920432339 0.40753744295183236 0.0037679197083759918 0.34201289222595421 0.072797118519175405 0.073251420647392138 0.13637298516246676 0.26881500493937899 0.070337734353019848 0.076338584096168907 0.72712265611267091 0.0038106364885499766 0.068871850764331818 0.68907056116450338 0.80505674717635767 0.18924679335822975 0.26574117345422327 0.6710391243706173 0.011330612447409842 0.13519159223302701 0.27818308354344295 0.47263492062746859 0.2097982162379475 0.0036042707826294497 0.0063488445558872739 0.0040946564181816286 0.86046098773502533 0.001961452892527991 0.72699788963359369 0.0028882859946013843 0.40599208496628109 0.20612633262295996 0.81038901299362309 0.070565493023974718 0.070282723938801972 0.20820146538706905 0.072602044193378762 0.27519549621849121 0.067952026285543726 0.53234707467836495 0.46879480945785301 0.0049084328513082226 0.13925627725096074 0.13645154095038903 0.13949839399366792 0.79522274601448883 0.1425853983255766 0.0064559719131113595 0.21394502090416367 0.13891461895441881 0.13726322554166515 0.19909792872010823 0.14220992991332404 0.0046006069585699761 0.40899808392710829 0.13549961941459374 0.0022262226430875207 0.27391282615088963 0.136265981383764 0.069683414717277972 0.13746165735414609 0.66834448200614283 0.21111800872394745 0.2700674351870318 0.26814900706306521 0.07662307582116111 0.33268357990745373 0.0031407866312836868 0.53768663257423588 0.92819078582892844 0.3339177043961194 0.3471732349940847 0.27656290379586912 0.14382652359890244 0.20706885250344825 0.1353315199995993 0.26978513918319108 0.20541379975687177 0.14657490521774263 0.0050434928708272759 0.46923418786657656 0.14231681906197191 0.0031275564555544397 0.0021497449740360375 0.0030355738521828843 0.72939867678632908 0.6645041809720682 0.99048985005345558 0.13651462880993659 0.075345272253507678 0.011729476338306776 0.13780116728325056 0.075260790269700908 0.46994253336931135 0.072065903648603144 0.002099396452368691 0.27208629237443815 0.2050849214004587 0.0034348507707655956 0.79269375539355891 0.065570332118808819 0.46588424241126891 0.0015632395315910372 0.27745288266076656 0.12974272052406105 0.0028252916535961431 0.53581009610928942 0.070233760840066259 0.0029795672568966244 0.066886827657768488 0.0074391606384846144 0.46917069553218904 0.0046558303454698547 0.20658090204198754 0.0053204685239858027 0.7310507245250617 0.13760581269550504 0.063889723264774073 0.13654048523644918 0.6095163330710115 0.21883117476140587 0.6695547658213632 0.069792542811644112 0.0050038834746053123 0.13531666607848991 0.068806601194029968 0.47017432561113148 0.59956382425206722 0.39686349816921168 0.1431453220988467 0.070232791604432548 0.13727963329541998 0.39831770836015679 0.46157152686967573 0.0012883343427579684 0.080693941062534053 0.19571458512873438 0.26967326832022587 0.071538825378519161 0.14140689503866016 0.13314686769707651 0.0079258115982161707 0.0021522467103812382 0.40031158982510873 0.13931585364542454 0.19906880291676637 0.074649333320309222 0.86130997955460953 0.0013806889010355566 0.27252922050545469 0.061697961110860233 0.16754689826706054 0.3237568550483233 0.0020424560665131919 0.069043337427918267 0.18763993277024338 0.0025239104835861393 0.070933108950109611 0.20205236196872053 0.13560176962527218 0.26965572412944605 0.0024899371934398442 0.59799530079166052 0.26938490301171852 0.2801367182828759 0.077599726211218023 0.07059551916997743 0.069960694759446246 0.1231709224150889 0.0022140025050246346 0.47194178172120604 0.25789315615238007 0.20602483512329836 0.27640021514427415 0.66950770615127697 0.0059965845981562946;0.20887859130897207 0.17319509154356 0.054470605753285738 0.3917218428659337 0.31132678213263953 0.25476998522266964 0.28459527628183789 0.0089373205878918883 0.0081555067168422486 0.0091545744275456833 0.23312093864045105 0.29803779948607695 0.13649067460864442 0.12919703687499806 0.097571524141955163 0.34717747763435741 0.30352439012413884 0.057907834669948227 0.13858222527500974 0.012645413683580235 0.21523796195722072 0.0055188829534967608 0.091752923716023255 0.33742789734433087 0.055179360527524077 0.21410798100596748 0.0533840866812215 0.30171567306551911 0.27747239009840236 0.015565556173560329 0.15908663337147197 0.091994998506592318 0.13764643463112833 0.3310499329960418 0.048196630336564877 0.13765071858980346 0.18024445367713549 0.17136200189114564 0.15670975220813227 0.41539815056583707 0.097705341974168483 0.10666434144815763 0.0085579178308902298 0.1955719480242778 0.30434601001034511 0.015211361935421388 0.04863049576083707 0.0067746050907289048 0.05119995908695818 0.0083915511019615509 0.14357547316736527 0.27317603611443714 0.017643906289103652 0.050523824730117871 0.052336535231825368 0.1782215466224269 0.21791445175544652 0.10038250965666629 0.09226006705285239 0.13558534581525694 0.14115867510589564 0.13624992982188155 0.057224166364066499 0.16330782730345603 0.34302172045454787 0.098656784553535951 0.0095078918612364928 0.5662527877259349 0.1872858026314175 0.26487428215090919 0.012819224407419375 0.05988638540930883 0.85549371703874866 0.30056734834485871 0.13888177525703588 0.1611612144094218 0.052116971807089636 0.0033899937164730649 0.050100109635571731 0.21726378713000252 0.011886188436053954 0.054872012637490294 0.2139771834380596 0.0051541186525783014 0.43869381248854578 0.26331028966442632 0.16458265495889024 0.0043898824296201566 0.094247553394280287 0.39157077573990406 0.0055281137325655632 0.26000966510292217 0.062035064587348081 0.13278948939982652 0.31077394277744641 0.093918922735425639 0.096741408949894372 0.052737778691236026 0.67371763393773321 0.33579086241998596 0.049520142504575398 0.091348469723860251 0.15696286894102901 0.2661960483006483 0.092120589362445965 0.052912211943735063 0.09337013974478571 0.046892201285659088 0.35869031030216231 0.30284435440586538 0.13694230863467804 0.26666044241798548 0.34410981890515435 0.66650796971860149 0.062791971260883775 0.18499708114946811 0.01165546754851756 0.17491156130750571 0.22937250314143598 0.020965451467381303 0.13292732338239421 0.24739236809972326 0.094382951784788491 0.047982790181930475 0.011050352804197042 0.13851069707575481 0.38406008652941859 0.012494257222681633 0.0064830168890640423 0.0056030084220414283 0.57014099192063417 0.22706302946910353 0.20411904265601355 0.087285043556064229 0.3234268692441129 0.50571387795067635 0.26950607181634428 0.13604510164784051 0.0092713629869468159 0.40143148362990311 0.056545201097753885 0.16401025803313818 0.068276273157383952 0.2228574315352489 0.22629378271333092 0.25611428339518283 0.010594814072694818 0.23558379518441089 0.044258420596348866 0.28192211017338781 0.098300554647768282 0.30041677582121329 0.048197595927946354 0.26329378609594084 0.073102269093538411 0.21595831687551492 0.057612790383514537 0.20132659806099026 0.050960098176058746 0.094694042556599314 0.15110524271163406 0.06260510899626491 0.011829310462262059 0.11122512115980629 0.19637237600904481 0.03717112280926655 0.049012129167166726 0.0083844088675055946 0.0093303981809720344 0.84296682949350332 0.52637450458850088 0.019296972864102809 0.048725271013749967 0.13448511958565432 0.13602541086172387 0.27121665683554452 0.048323146563439258 0.17894150202431391 0.26086566534441341 0.088866368595125783 0.19269970067200803 0.015352297842406867 0.092064199957984455 0.052896325355068469 0.21525633854528564 0.33952293206788586 0.053189198310995882 0.20733486267850496 0.091743600472578513 0.24541413118380154 0.3475767054135922 0.09246123948157553 0.0088586779751090201 0.51876194114681584 0.0062948773810520735 0.092260537538186499 0.08986509214730469 0.046937614409083749 0.18799792459325324 0.53446646514100948 0.010206813107985225 0.0095868737227115738 0.0095254966067177555 0.19399621350677645 0.0058289150910049775 0.0077696177636472751 0.13327086166253432 0.13576603321473349 0.0069082709068347854 0.096325270092956494 0.0058755747729760891 0.061552343885392949 0.089608578249966375 0.17263202669441405 0.12196330301212437 0.056541275722873971 0.089367431742320605 0.0080366180864354271 0.086414038991128816 0.28271044696591635 0.19700881500387854 0.12770891926883823 0.39678201260990509 0.020882871077265542 0.13280259252208015 0.49564849933365457 0.091202688937308221 0.35226603708526483 0.30410378869881338 0.5098576360677417 0.0073516329547065763 0.34812041418911627 0.091334933362505311 0.21386457595872171 0.46820672275955111 0.092408398151625964 0.21330433126676968 0.82484631471347469 0.31698805540500019 0.098300915110500708 0.18093530873470068 0.096983170176750622 0.093876787037493331 0.0055982438313840217 0.13251832820547838 0.0062580442303590209 0.13486219478276715 0.0115206539822688 0.018091193517907528 0.011905690165737219 0.010302001943856243 0.12946386766582046 0.096294164582560265 0.061466122167000321 0.13735440618329037 0.098688535510557049 0.77539138151651499 0.26921729905122288 0.77251572260609447 0.012320550455194567 0.10999394180341546 0.66624802687138029 0.0066707803069414422 0.17687996367478828 0.044988254203577958 0.088963102466543778 0.010199184600889337 0.55694109330568664 0.0067552596716919438 0.33009118949148952 0.18504853937592275 0.090330770315106904 0.013789862108742541 0.25188491454511763 0.050468080717592942 0.01018527360157572 0.092516810989472231 0.089582010452483971 0.097013032776195121 0.093553821262588016 0.05097315075379933 0.28603397208173564 0.05169302103713292 0.0062239782111232558 0.051647394455366577 0.47523409752933832 0.40198009068130525 0.017505388002657073 0.02110425080041501 0.44146252216123938 0.01492854178984012 0.007985524960037094 0.24874172078016329 0.45475858403859709 0.10364995086920967 0.16939374919188291 0.0057904737822566934 0.054771421766659376 0.10302845167235161 0.27296256933736152 0.05137495820335812 0.1386128941033227 0.051447392542535546 0.13569784954977013 0.20941968519662221 0.090958665508849706 0.17100442805806426 0.33582501938157105 0.096164323527099166 0.25610928125755472 0.0064701438772503802 0.50532763542092085 0.0060914060601506004 0.0041468710546009998 0.51155517263941119 0.056812474543000896 0.19439215029607904 0.00636675304644719 0.13895649810167879 0.048371644406333833 0.11112652582189106 0.26719345757447571 0.0039728710069166263 0.0091985191706014571 0.1338289595386758 0.17303118447064719 0.092673826782401769 0.049414336431578047 0.25285799491768318 0.13021062577237721 0.84272802427189064 0.22608876054109456 0.13609636901129807 0.0076264702098937844 0.42642278530852279 0.63860374563746036 0.098793807229142938 0.0084013369706644678 0.04893816533332606 0.060222506756333533 0.050937148397786694 0.26538862235006444 0.17365374222047528 0.18186856712569574 0.61818650979617407 0.052860986562816945 0.30868320240250591 0.054753625128708711 0.25835085554877962 0.050516015562798021 0.14165893619703421 0.27274711833046716 0.056248618539691445 0.13736504789705489 0.17729979844577948 0.039322130275323545 0.56003831871912746 0.17416155202206662 0.011557338154283822 0.010180352403225137 0.0083818083176857433 0.09694467312045478 0.2171729509242368 0.13535609548671537 0.13154582904623882 0.25940935402670673 0.047227549368675258 0.77411179576830991 0.007029183668063833 0.089354574934178449 0.055399367904197812 0.25188642254291305 0.27413288440282552 0.051106755414201469 0.0868889208149458 0.26280822931247116 0.28715639362975243 0.044619429305326058 0.053725721000063668 0.0098796657606182742 0.073262909867343726 0.13767124740854225 0.06028600496175035 0.30852268800263699 0.0063201675647781659 0.095013832736655479 0.29726075317126716 0.42780938982378397 0.096459167366408943 0.18632530550319004 0.053876211431818893 0.094732174446542264 0.45043805501862477 0.0051590057483130881 0.047619504858532634 0.25891270639302399 0.34164648820989718 0.22845097106896839 0.21433842435439263 0.055013024076192518;0.021390336211878982 0.0097210251220244005 0.0055840353160924181 0.02168463817866309 0.016758778446808561 0.69946501371973835 0.016206739267572826 0.0027286283303308316 0.016423514815749954 0.10936473053144083 0.0071663398395829126 0.010746743804460931 0.0076249843406286299 0.27307898622524507 0.0075840387150949489 0.91466205209562912 0.012594445027173919 0.73522108093210714 0.0083483911584659211 0.58603518550369804 0.11311549920149691 0.0059311806683395281 0.0093213850146491323 0.98615139693648868 0.55622117588642139 0.0074220914390093918 0.6114387181433677 0.0086613033062703342 0.013610425064439231 0.0059913598407423246 0.013275915021841186 0.0043914903525849869 0.0078952348009296031 0.021820004156302135 0.010107901062925638 0.09597919179832054 0.80153326700899341 0.0031276106908383174 0.85875239514256652 0.42157275667472532 0.1023514280580762 0.71920830838843053 0.0030547264746423291 0.0037088003406066739 0.0057944875847263317 0.0067648617332112439 0.0043569024901492269 0.0082315050943018789 0.094487689576737116 0.0028398987914153373 0.51310241223511166 0.44149103749800339 0.10087927687212507 0.0062486616403047875 0.84641192172295765 0.014989492164280168 0.0055741908468328232 0.53024518723178793 0.0037348969377713763 0.36745250086280723 0.0092299978290318451 0.0072163196562804515 0.0076900972477862966 0.013757308595764175 0.021840630453291807 0.19367942671476873 0.18556330165553539 0.96950944229577585 0.0065094303104332773 0.64706912441892173 0.28004367114388673 0.0034098223708199336 0.30317884165705555 0.019354178987463146 0.0040370572383622008 0.2122189719868135 0.18933950407797639 0.18936573058352882 0.44048704153337087 0.0072198308837565905 0.0048249798646727892 0.0028935046619327212 0.09113191375742502 0.54830361296400676 0.64680635969673073 0.008138917386931066 0.012726366885614257 0.0024785173488004963 0.094905082770371463 0.011350948407129934 0.097423309437636163 0.0061312357995141334 0.34670581674864637 0.43627165082048258 0.15621311801376916 0.0052553248977049768 0.13314614833979763 0.0054876143461747001 0.97920858722114168 0.41499871267890953 0.89221520851018132 0.10198650679975216 0.18995423494745189 0.37885114319030855 0.063731448195734716 0.0064959815373629307 0.012337848998818169 0.0049286520780337014 0.10029638871392335 0.65724741956903454 0.099396114373921554 0.002160452667370348 0.1027571559174197 0.087662778305668043 0.19471297031330798 0.0086723420420747252 0.0070250195514743406 0.0079497995922901809 0.80077831729443194 0.27189014179010546 0.094506136003235097 0.010464220790196495 0.0061294333068490549 0.098340369258653762 0.007932673758982902 0.51884568773032691 0.37158205804717648 0.0045275550964702701 0.0021273932746420001 0.094696623831445392 0.013096938183458959 0.27353251519209221 0.34421663955192872 0.0063395830028045823 0.76774044194980839 0.22565312019515846 0.0041333819922635797 0.0084700770832850988 0.64846121612181262 0.22097353375803974 0.0049031436803821772 0.012460683209583823 0.01451742751889018 0.004642902160514893 0.0068895340970349531 0.016357820080839705 0.014521187578537155 0.43565692489401064 0.086347544885030672 0.37433377915792465 0.0035323492020931046 0.0043612512992270876 0.0037204709845735729 0.0043358011366376589 0.54060457775612514 0.36994029128513412 0.0045861493790891345 0.53691858402894566 0.014076797566128577 0.093825029040893973 0.020872121870584553 0.0047293594978180366 0.0047264364271632732 0.097099793581751415 0.80188050608435735 0.088763615515069838 0.0069874280706858508 0.0046162787967632098 0.0037273832601964134 0.75988077506110197 0.10304721275343522 0.51919325921264681 0.095365929144005851 0.0059335522273249175 0.36751952031521196 0.010096116732099094 0.0063314045148867085 0.19397282050389172 0.0067407761750063024 0.0035684413846739081 0.63490795725173099 0.090494415282928856 0.0089922084204691888 0.0073895706312632654 0.10770186963332463 0.01293390320383998 0.7951257213001286 0.44718582962875358 0.0053500586573376275 0.1996321085924373 0.11461237093402454 0.095856793490389988 0.0073324950674869627 0.9958406923409594 0.004707269242690151 0.0098693973442977364 0.013554774398091371 0.0033079289483016047 0.019707978815326002 0.72762503341944718 0.0045783378689619545 0.0061458791279074042 0.0059242866143490612 0.0066908358865065921 0.55116695608589206 0.01034012337380188 0.81418805958373519 0.0048840805214529527 0.0042065722370515195 0.090215414469301383 0.0061342229937654666 0.0028327171274371041 0.0039949082902290944 0.30643476229410122 0.0111585224775454 0.73002645995741333 0.69281038083409929 0.0029775926799444274 0.0069254607300080076 0.03709683344968033 0.0078192546039407996 0.0055104991099854559 0.28171829810158644 0.0086263225225736897 0.0062814546460803382 0.45098942339722392 0.5621156502657968 0.024822734260385476 0.67582102961893453 0.64553882366125093 0.0044373848735536113 0.18387744887615254 0.010543930340125534 0.006375183841230995 0.19987664813474998 0.0029335275497379167 0.0051323577061739402 0.97202494769009051 0.52077428176949958 0.0034145804328011148 0.20217990776917599 0.007306372494740419 0.0039987427326286353 0.0029453850095810591 0.0028799293157708455 0.0045766569541476785 0.80067457528835573 0.55794017752192127 0.27671689788770537 0.38099508259656123 0.0051872791121405394 0.37970103801641925 0.0062299188101235204 0.28179109761892202 0.55826230927545795 0.0048980675750952473 0.54745756330445461 0.30873519906981434 0.96839202868862329 0.0019433496744944378 0.0032061869886087554 0.59205766830460071 0.0041352753944236464 0.77872088015764607 0.0031327445588582234 0.69781371708020368 0.0050844668479493047 0.018393297081176742 0.00291227967164325 0.10126057958232577 0.0080349222469751572 0.1915973092791643 0.27408806286577386 0.36911811617822671 0.0040773803280842666 0.005068979539604882 0.0031438026780221842 0.48952224381074 0.0088181477518704289 0.09683622833729652 0.0065298726449619596 0.65162926135922317 0.0061441430250969596 0.0094901331158228127 0.099683881123772078 0.54461444138556492 0.0065495784953159093 0.016063637135076705 0.0043430124037982312 0.95841642843549002 0.0094831485820963818 0.0063210878766630013 0.0067019757108574924 0.025227820496835331 0.28468682437750298 0.0033371639210561326 0.007743352595162829 0.28313197337491458 0.0059920560990876157 0.0055465455200989994 0.0034378836647857604 0.36338072326453852 0.0067337591913866988 0.0042896775877494875 0.0044778868808827638 0.0053797422478202017 0.50076204514867673 0.54561460474306056 0.0039187839244810346 0.27148083727612921 0.0052813980712404463 0.53874165205255398 0.0050362346657791277 0.0071072242041631999 0.011856560994494862 0.0053830471833320008 0.46050015523851101 0.0050354234724136835 0.0048527274310067384 0.09674727379351214 0.09878976624187745 0.59807155517183985 0.099397259265606358 0.0046194507956153477 0.0058671874814609053 0.54556045816008436 0.0057242885592737706 0.28210496527361567 0.73630499467247723 0.0094907221693020863 0.96732910324869592 0.0033512846935580699 0.19017625532803106 0.004681396113190784 0.010401074775304995 0.71377389502534505 0.41876250810514942 0.18943754992909523 0.0080190128437809972 0.61733335947440793 0.0029220649535794379 0.014767857519172027 0.09839301933154164 0.2065231193652286 0.53037995553222217 0.0072642723968813711 0.64098010026335817 0.0047115612149100008 0.0078378192592065982 0.0057319577301676045 0.011718767126014697 0.0061878937896362564 0.0081431215045056661 0.086676303955499107 0.13490800919035073 0.0056613852493664473 0.029737427369157587 0.0055392731640645284 0.0036495270144243606 0.10016142006343549 0.011192228696173855 0.0061871024878943828 0.0081546707975597172 0.10066960548490388 0.0027103800851130907 0.94323378591223261 0.44346175454696024 0.97634767846541137 0.0070115690220733497 0.0039500147542731231 0.0063810701728570689 0.009812783381012026 0.012131014002721641 0.0043806676600293432 0.19238536947343912 0.0089377485794917642 0.013504191144362519 0.010565081674365616 0.097354286857055786 0.093796581694161982 0.0033885947987227138 0.81707561777475735 0.0067985152096029485 0.006824329075752711 0.0085213962138665778 0.012755975001773915 0.02027470463592471 0.74685120345382772 0.10837968371297849 0.29782134245697695 0.0064355149546337477 0.012258450932723883 0.32625184188561834 0.0025254562030662007 0.0035513474890891666 0.0058183541406564045 0.53524619218454228 0.18171234801644379 0.23349718075136852 0.01749129874324316;0.96836832586849642 0.0076730828071555346 0.0030639032484210843 0.0093811703327958598 0.16492455781536502 0.44029014602351879 0.040707514544287851 0.13678487187424634 0.14956825471688287 0.14788531868542557 0.0047160305013920793 0.038652202475879888 0.13683720272723396 0.021690592922351679 0.004680590313513644 0.16371924133954766 0.5616552447737726 0.3053127349941876 0.0075295313704413034 0.016943747150884279 0.003325351830267042 0.0043725649733900376 0.11688776285324928 0.98722565593040978 0.25429888959726965 0.005052313727147816 0.0096412103111677451 0.017278210679545609 0.72338255737227097 0.006413012659568589 0.93150890692289534 0.01244239099498729 0.010470667770584401 0.0061959067494280033 0.0095417171688656956 0.28373917403454402 0.70964300837181216 0.0037530308868030681 0.96346080092614994 0.5760579311743198 0.006079575949704613 0.014421326034810375 0.0024454297552255265 0.0041613156052543445 0.0015456738244399811 0.0043001247444604063 0.003831991069234748 0.0046304234360228236 0.0046397554362221267 0.0019662175050013755 0.55516180608415611 0.15129523301885198 0.0083900563131763962 0.018723288205245093 0.51674070188723475 0.016471669658448339 0.28771163231103286 0.84191807440532251 0.0026289088982412471 0.77316718752286728 0.0035469363715160316 0.0027152170533139564 0.0034574854469000783 0.55039971110075037 0.0098342540856921779 0.0031976753441115176 0.79056641270684602 0.96314326433545583 0.0067839504642142768 0.86645677581412373 0.55379726618163017 0.0055871764484148358 0.15637696320262742 0.010216604439335093 0.43556430592859535 0.29701074769787628 0.28458498354940476 0.28264270683770842 0.2492112542253403 0.0056932383323407033 0.0036712664852152363 0.014293947613070545 0.80956150210353628 0.53303056873675803 0.33347264371543028 0.0077260803241377936 0.0078836343920978286 0.0065744952526937024 0.0077766435383721834 0.003035230444857645 0.0066341292657204837 0.0045627330173815999 0.9904549076059338 0.98026261351288912 0.97868418772189736 0.14419697412660928 0.15031767438771909 0.004815201587894751 0.27935049268696033 0.0030651193120671116 0.71261583836619979 0.0069233657711082284 0.0043160392522706139 0.72396555259502582 0.01496769423025099 0.0066380051006191812 0.17454323975012792 0.0038435238752536544 0.72535166170453813 0.022564533026461286 0.01478040212192985 0.0091417127325707486 0.45315506619229673 0.0045889639001158427 0.17283995671045793 0.0075676859679909801 0.0054434459047056297 0.0039436702075953452 0.1469380261037728 0.33671356503868244 0.0066426194043082386 0.1504635703639757 0.0080958392475275458 0.0067403523293305401 0.0033738748260705217 0.13959569450407988 0.81699333592248191 0.0036698174662128475 0.0023840974450210005 0.0080013811559192828 0.0070254961590564945 0.18113497247939131 0.15524107922163916 0.0060693182154856707 0.019219726995116117 0.84532294262453433 0.56179259549510108 0.020140303350474544 0.47064755661376645 0.98696452342174656 0.0048127132363774052 0.0067021932562934235 0.0084428106568890278 0.0024062509881238219 0.42625907334604651 0.14633659450760669 0.0065945908330328424 0.27502160613291377 0.0040200197890260707 0.14956361660390202 0.0024596492019411257 0.0061111072077768801 0.0037294071664666171 0.0052453483905707636 0.022385435925410372 0.0076331090467296131 0.13666903818461659 0.01137323006584681 0.010538430719875862 0.010344396131502278 0.96793777274726045 0.0044763200746153562 0.0029687356207558089 0.021685667125364551 0.41837778867089981 0.64125129296224292 0.003654486030863293 0.0051212900932362197 0.0029559915152911329 0.15630973493883082 0.006027006264617555 0.012509345657612038 0.16025065930020541 0.0037061917359238654 0.15982892734703111 0.70636678423842558 0.0077035134690895601 0.0041520590330145673 0.0074668614522039297 0.0023767659761910484 0.012855300477070449 0.002685256797350362 0.013162256051209286 0.0047031889232446835 0.97456110525982798 0.022123252847288628 0.53843266950948077 0.2896105030244534 0.003654359932506459 0.14260548234672799 0.0074464473791822803 0.015506732359355895 0.0034665993430519006 0.45778726784240414 0.004857497968423401 0.41809409935603148 0.85446885566989594 0.0033258570909003049 0.0031796375930627694 0.0088006007027602532 0.14483098674857223 0.0054951527422017234 0.0032842691387145375 0.024207915305267905 0.4188843589600878 0.0051561446550834203 0.03406445120263029 0.0027447105195113563 0.0042061167670386307 0.0041198477830627894 0.0047401260071718715 0.0040299587639221184 0.28822927368921814 0.99173056084642475 0.019359141215121715 0.4242033622106488 0.0080654998866806112 0.0015616204709277986 0.0060952490344335589 0.0027712543015664766 0.0056446636472134142 0.00395167962128127 0.57745014626747793 0.0052352636531367569 0.0033908592162633635 0.5692475626911625 0.65916416372559172 0.028008071552796485 0.9779810056933409 0.85265155530320769 0.0032693965432183461 0.0063911476708750524 0.012212703330060852 0.0047904593093839043 0.57327257043650426 0.0018244779005463633 0.0096336919749773799 0.031202295462195342 0.13895193763258321 0.002892079222593681 0.14836344527638656 0.009222813355898779 0.0056429420353036833 0.14381625802313952 0.0090277039950960297 0.0026174433398429989 0.30101467570175389 0.68895784086785505 0.55657292781274603 0.0084268237390081515 0.0041189117634745113 0.70106276943651025 0.002698868992528811 0.97948857750465779 0.28783217898367386 0.0036877816533054937 0.71595142613030471 0.0067771591075628376 0.74853742091340247 0.0014722383611332336 0.28626762568794478 0.019658736407984108 0.0040172802791893676 0.020616929134808216 0.27894934450044967 0.15188835871531201 0.0024344153418054812 0.71950856831496024 0.2865499573905117 0.010223107137279462 0.28146075668965548 0.14485252356509265 0.29534297814840876 0.16512195149050773 0.0026216269634195427 0.0059571023846520148 0.008485924539256411 0.18758216884585494 0.0043152777493702093 0.0046406549179126922 0.0043549831123459639 0.39342727233803354 0.0035275755700066133 0.0033100256523647424 0.025031836273690686 0.7122399562052063 0.0078885739005992786 0.010180548978974441 0.0091355168960380265 0.18241995513626488 0.0093089788617007792 0.0046545830772833727 0.54777431705483037 0.71795273129145343 0.79256381369369633 0.57029208480063098 0.0067513881859425978 0.14231425799554637 0.0054520740026230054 0.0025229304786570502 0.0026880773131266605 0.43696227701242263 0.0065056276740949387 0.002104733674371962 0.0051159591195104083 0.14744953634875541 0.58038527088960679 0.99119464886950337 0.0086725279609154993 0.0063940946586537838 0.0047607825354672537 0.29848404739723172 0.004018191434271217 0.13593080442474093 0.014949783298468819 0.14488402247039753 0.72333517460489694 0.0049102116598300511 0.0030126678833921248 0.41701200137224637 0.4199454135861429 0.0043804141765137958 0.010623385072852726 0.13663185776857731 0.43056848758680871 0.1530914155252589 0.013957186789223412 0.27906387849089359 0.17715291829459598 0.0062923561756962074 0.46011857886954138 0.00269022150701581 0.0046294371926567136 0.0019561420443386943 0.14183257113044842 0.56160394047147522 0.011822174599297661 0.40755686810567993 0.0035948731971650973 0.28184193444360495 0.0025817935212065659 0.0016800536980653476 0.6993455815753703 0.13756674179851608 0.037541803151835113 0.14395901177230688 0.71733619719540798 0.0031959656258752148 0.28336062813156726 0.0035378669644216161 0.0079478502559945877 0.54735771816538703 0.29436387207761022 0.0062263496860096718 0.011665404465290574 0.0041334267389298296 0.84112601751953975 0.14445467300259221 0.0032117764926852133 0.007966031525431197 0.0063108209365368723 0.0065240179848360747 0.0072466806567007885 0.1412076744027975 0.0028037622399382286 0.024864092136245665 0.14131334074719348 0.77703182798154102 0.0025369907342954255 0.14377554567942119 0.0077702993290316644 0.0024194250828001923 0.15043799360067647 0.0068894449981576318 0.0067809352866689898 0.55414590104234696 0.56905939201026889 0.02094636128217417 0.0023586930355675964 0.44077228666834589 0.43551732131920451 0.71822565815485528 0.0093892036277814228 0.0069504735201657277 0.0053585162945016321 0.13415796170936944 0.42280908570978615 0.97920749856778233 0.42108543281603195 0.78796677486530919 0.004200290237973801 0.0035235090420040385 0.96071570326299649 0.0023721887864389551 0.0045776511238242732 0.29936088168113839 0.15376153744184398 0.010205460969992227 0.0023097317930193782 0.0059255221631369665;0.56291450317059388 0.22402544908941968 0.0059361323423560985 0.015146691191263627 0.11091956259537644 0.018018370091389704 0.56330005112283865 0.008755465395780631 0.011014954076063455 0.0093542211095623551 0.014508849949307425 0.078338236698662342 0.19481054867727315 0.015304183691721802 0.017976526620951797 0.11610582904754028 0.14098868202894876 0.096159479767214839 0.09087798492167487 0.098070231182733475 0.0097117710566239825 0.0085948294117203453 0.19459467098148417 0.31948797007705482 0.011232152348121112 0.0091464864918137656 0.10577382880583139 0.11175257818775765 0.80982063411842031 0.19006819865563104 0.32427572646514013 0.40530542590366353 0.21062658885380658 0.01846966207531758 0.16802031411663104 0.008654799880233998 0.2999870680600914 0.0057721213467253956 0.23527615212956482 0.19674806158021826 0.00804651352094813 0.0059305581315872791 0.10702730652029932 0.11624672988094653 0.01812716533097648 0.011351269573510219 0.10072201616433327 0.0095845339521030311 0.0092551822352362582 0.0073910537377980673 0.02855938868830607 0.012366366163604847 0.011861815028172282 0.011161749885084896 0.73676106629921412 0.125808191562087 0.12222006354757572 0.03629375581427749 0.0072031626391422035 0.22293421327797625 0.010701662381333008 0.021333780322757685 0.013024310083549252 0.23842881858339088 0.012091210793619233 0.0069314086866985236 0.21232036844833627 0.4885251613545547 0.38090817981170416 0.77771637279938821 0.11209919820900348 0.013206645353609851 0.10915092349164446 0.0098047065330061529 0.69609058965675696 0.11015343939711494 0.010844799993489692 0.014329505394039946 0.0088937708771507241 0.0090069881904573344 0.010914766461531849 0.10060721664027836 0.23202709667427571 0.52660316557398545 0.0081192989509780693 0.054749457860698833 0.34825236643386798 0.096030862484539153 0.011296723893792722 0.10277553884363039 0.0063435502863968384 0.0063156074049373822 0.67638909190307206 0.034863155560334716 0.87586464070317105 0.088604795041291054 0.014625264616231483 0.0086606020578531128 0.11123757821593044 0.013065714473484574 0.085786879566626922 0.11443058851560274 0.1704686133564097 0.011349922953410883 0.012086110409176721 0.011473378892784158 0.12376772989379822 0.0081579648691397395 0.13116791395252794 0.10834173093646264 0.51679393631889214 0.016564951317256712 0.67794784572208833 0.010321453335009273 0.080442499271423037 0.014455613640000484 0.0092946879574620448 0.0060741645857066671 0.086404707598932165 0.1092336647502553 0.017555768203685401 0.33045148835163807 0.11284308799292191 0.11167728029247546 0.0087878750513412686 0.0053252430396973291 0.31340230511956968 0.0070440770023229666 0.0038185459845458858 0.0056818524532795574 0.1086169507646494 0.01916723629716701 0.012074391037617347 0.0074379528091375376 0.21025324474631596 0.036608854525342613 0.11474501103204054 0.53268042169180596 0.093420193341095303 0.9699761591844176 0.011272425219192122 0.0065206759290798643 0.37419791809152453 0.0088124155060444898 0.11154811996893844 0.11138026906991555 0.0066335270308965667 0.025313735232750552 0.014438874766819227 0.10422369795178775 0.017236207492469166 0.33353340192117736 0.007988550087141319 0.016183636399771495 0.011833295928360646 0.047055673487220409 0.0083103576087415372 0.0055166409244876684 0.016917863118696974 0.10249409393042837 0.90325182704622387 0.10792592638744405 0.0093005282797304252 0.43955432205472306 0.017158498289096581 0.65023792309943229 0.0098630782495464191 0.013253856333520371 0.10659410163239137 0.3162596621422667 0.0074283383859843491 0.10182540444158843 0.0094694452122709091 0.0063517578944730715 0.0072258059853012825 0.22341056238656093 0.082092615426662477 0.0059486660621031768 0.0094567247900965625 0.0076618460858477169 0.0047223504101348299 0.0086463566967153963 0.091321521212423831 0.10395650922933718 0.53047212229462004 0.68036672457532577 0.098722179609549959 0.45375474067649313 0.011555103700744173 0.01153186030822189 0.026161340422904807 0.19127570519368878 0.013628595982027064 0.1804728999799971 0.014446236348283927 0.099621472146224868 0.58335061136053046 0.092910193316729631 0.0082671421289133053 0.015048588436192705 0.1077165960737122 0.0073734722843868802 0.019776664950320128 0.30275734895120066 0.007522463724084937 0.0057013851118091711 0.078668498890467772 0.0086160040782786752 0.007912375425944463 0.013252562140232627 0.0062231906035929126 0.10615066787294054 0.016289169844302495 0.31499280819314579 0.41225984925812409 0.12432715782351816 0.010615044160862036 0.0097779297628343715 0.37697402076113096 0.1040420555901575 0.007347358187444435 0.011303032652462601 0.31609966789559613 0.010958008553155466 0.0061065239102318404 0.27924290365999088 0.0073273454679819664 0.91061211297247224 0.034922399018284769 0.21598249264559946 0.011812212124831781 0.009311767292851653 0.023701624758317053 0.0045843310959169806 0.33619442591391768 0.0048851460734919 0.19345019199717503 0.11369877742501563 0.10785048497592439 0.005754395440693845 0.013394682705124769 0.10864435680089288 0.011654587108557189 0.098032165046811226 0.0075331669491348133 0.011622881911580615 0.013804980267602192 0.022748466204372531 0.014277936967902834 0.0073102947208159297 0.11079712281155797 0.19548174335661395 0.018811236566941669 0.20402792406727779 0.10915712731794669 0.10954690074265178 0.39540020125581249 0.022361703611040389 0.021283417109270626 0.0062461997420207704 0.29973986501534333 0.22397188107973995 0.0048082927545484893 0.098755171464424821 0.019993357263522811 0.020472835462493892 0.0099200000298003028 0.88057086336610546 0.015931701526205513 0.052052740303934961 0.012329108968614173 0.011092681175864471 0.0086694755223380524 0.020033761005480304 0.0052592783830133563 0.017752018402370357 0.093092767585304603 0.025980646673176663 0.013401970959269253 0.017780061714749391 0.01191241045663749 0.1998511995618914 0.0091684026159662858 0.0062056163386795217 0.10917437569022734 0.10720108756942745 0.029993444345474973 0.017939416394194198 0.70337225203079945 0.030576180608544543 0.021761440572380372 0.016860021676496688 0.13176630165956804 0.76345320481978585 0.29922107379299223 0.43584250722290918 0.11632420688092346 0.12210308129274573 0.1123050888832211 0.0061431246617562755 0.0068756537592949704 0.77356290212676393 0.011676271949974323 0.021170605973326859 0.01328265241927757 0.13320724398095832 0.33113738396803216 0.78650536983620112 0.012106078465540338 0.19385601915848377 0.0059100193120932868 0.014539891303973181 0.0080848521711858069 0.014697439083443883 0.28619514604209739 0.006778808196949716 0.38939017185752856 0.10239183074831584 0.098143954975527109 0.01376589762887798 0.019110778719555504 0.016058650357594323 0.10390312312156053 0.012231601964787803 0.32548378902240621 0.0067939093559046156 0.2120633958837588 0.011724882629800818 0.014894479096227917 0.012418052254905325 0.3017208792595989 0.0090398303213385083 0.019232371822142727 0.0049386369745794733 0.28478499071694668 0.57485040526853959 0.011404759988077613 0.20692128778795593 0.078147280223651805 0.13812455298737644 0.0074834087452364294 0.0036461383583950655 0.6473325562396931 0.20210902061159342 0.19683753097833348 0.10474550065283374 0.6392509523581128 0.0039345295963026262 0.79168944594438895 0.010348544361609112 0.10555484419563732 0.10436185111805001 0.21760146442725453 0.014501215700165299 0.013356340213568716 0.0096409259289315374 0.35444038573191611 0.21941534390918227 0.28403622935881206 0.10979983063861218 0.0083056381707481697 0.0074718913301657242 0.1095673398275126 0.012487558828660022 0.0071400991215223638 0.0097026814777433149 0.0081748332760885698 0.097420274753657499 0.008259121598295914 0.10655273909385209 0.19778658906811591 0.0097776602830485677 0.047096042292979153 0.0068630299942478105 0.21331022852864523 0.10600320252711226 0.19970764844922734 0.11118489068307517 0.0080472170828732557 0.59102085011643368 0.86653121372074282 0.036553048205482656 0.087284929985861209 0.010499039109701069 0.011453314658703122 0.023622638955516622 0.11429570298684391 0.30526257437636439 0.026307094457193099 0.6200239943959609 0.010893208843446706 0.0059532379238193692 0.035148190010194494 0.0049719332996951346 0.094206642924902551 0.49484239217361725 0.47857544732142193 0.19376065642798715 0.098947911867002372 0.094764841091029686;0.15274570479233865 0.34310286870527934 0.0076114450182651963 0.0088775458400200125 0.160743777783141 0.4454013977561776 0.31872727685751379 0.0099953106260161437 0.21523607202068323 0.23801697788525095 0.23053220275269404 0.098011278068368193 0.27765917003642721 0.16556268753287579 0.0036607509925991556 0.0077766050452990924 0.0061662907217417285 0.085198562522540447 0.97172928074488507 0.082114932806268484 0.10514857477220939 0.15494952086539027 0.23152628456050639 0.0079301643443168181 0.16447455762721208 0.079295877858443914 0.077493880155244388 0.081645777685351001 0.40841896517913867 0.0065801122532049335 0.15465705807520558 0.58849324074796527 0.074859613246304288 0.0088602688170832944 0.027349967317214896 0.23776872496498411 0.42894478859370316 0.083689891268394268 0.094492181191173766 0.24923768586146194 0.076636837250288525 0.092589885703655062 0.07998212121178383 0.16118876314665487 0.078486081494485965 0.65744702466283456 0.083483622831365317 0.080764926346338611 0.083535086205398262 0.084648812632064932 0.0041090176726837737 0.083585410613453176 0.072555194400068787 0.16184108785307594 0.0054884306637657974 0.44305397933511415 0.14752149866172967 0.40364767756337694 0.0070459377597257844 0.31614025616505714 0.0072930652599484374 0.17758621165221899 0.0045065698187936546 0.07703415694705866 0.36522790948870032 0.67547091571044704 0.89734574447161597 0.085344680938527595 0.10164938889748457 0.0090798594473501422 0.23877884681128575 0.0084724408533643422 0.082228438925414662 0.0061843289307876494 0.078483447531126349 0.004318933549725637 0.077791066974897391 0.0034465813554290245 0.21499685149951869 0.087718438224249004 0.43507820666935826 0.086603595262057798 0.083836702616090109 0.3953280343899086 0.2424976147402613 0.56976582038631496 0.0032918010607212115 0.31058832406491016 0.0081064494041320594 0.0080658825558180269 0.30255642796214394 0.0076924028563808977 0.078257425457959634 0.53257762613457593 0.009697874081521108 0.013338364718972026 0.59519975785616008 0.082292439083852531 0.010086208846238637 0.3816931824815154 0.089294917741573165 0.0074510857969210809 0.014653745642913834 0.59253195813665371 0.76389899165331121 0.0049535125511589407 0.45109389264748956 0.090641295234049374 0.22162269474771368 0.0064682615977283966 0.0060960945152253986 0.22299296235213698 0.1354691474925668 0.0052132684149428128 0.42777847659980361 0.74406190343448664 0.42420496448835432 0.15841342714691542 0.069333863979784707 0.0054311154465631079 0.0036444456717362756 0.088443919112061981 0.0053985584747589521 0.080159980997982813 0.084197325919973656 0.082073004643564706 0.0069650588257712141 0.14601336913935442 0.012933486910603753 0.094569729425780111 0.0047870453592602693 0.089751684945378496 0.078389366842705629 0.17994724653714661 0.14635238779202026 0.17536616289797807 0.082252562505822399 0.17435006497237665 0.012419983701874804 0.10818049599339695 0.56728307909045816 0.079789475995760514 0.28849602448019995 0.080313125447057016 0.5327916517102782 0.0090312137043421815 0.45008065130416464 0.0056425262715590636 0.012592903377181074 0.15862769705114663 0.012835657419207034 0.021595591915016678 0.08068279720858576 0.81607262907523026 0.012139597661520608 0.30457644784316884 0.084431723446955403 0.0084265711378902364 0.014185691432958725 0.082541057288932643 0.078109577721702073 0.22400542286257463 0.0039945964215244434 0.30392589349065985 0.0097677356001930754 0.080459370021036175 0.096203480842344938 0.79654006333296623 0.0029162180074938752 0.083007481885432485 0.01168015470005883 0.0033609527828932124 0.0046318625612900201 0.0086733088616622288 0.0092459978586498324 0.31245088481622468 0.087491887903736992 0.0039320821175578297 0.14936508048932157 0.15662434471097775 0.1570332142728931 0.0065513335282978771 0.75117158920559524 0.0081789848043291348 0.016728013979866289 0.49448583032489218 0.09555084016019208 0.22966101625293539 0.023597501436031999 0.007183486217769681 0.0072227886778818522 0.077467070834420129 0.015369959665212433 0.02189915921799325 0.085106896914516991 0.006702967202268607 0.48528459408095148 0.22628304365165647 0.51164047983113803 0.0055311641461380616 0.089784267656463079 0.29990957958984371 0.0087736446796536395 0.081697133814536291 0.31006165350049447 0.16129265597992182 0.0081434228185864703 0.012580717290879539 0.08245430204442146 0.01360574932164786 0.082516363506315082 0.0050475797387175454 0.0074985303980172066 0.32024807356405977 0.015562979033467542 0.004379051353260565 0.082062402300114801 0.81728067644021363 0.22258109165768669 0.19793798255129308 0.078291473035754483 0.22526350691747932 0.011839903747279477 0.024761530057411212 0.84764391204860501 0.29282814397274071 0.6733334257842678 0.026402840628268573 0.30708782181408584 0.31657532854634907 0.23425806608633409 0.078792548245621929 0.24440071570448063 0.080027871905697087 0.016506981630999271 0.005750224182139752 0.67726375626229551 0.004958225222358479 0.010805106544707579 0.75016025470466507 0.091002042593603782 0.21062973602670387 0.0039854978259859326 0.081590249432960851 0.14120424803191153 0.0049543668722069334 0.08222088750329308 0.31375232256301988 0.01384325560077989 0.099706989992539408 0.093087377295528864 0.004863347130837789 0.0057328385260503618 0.087647519798648099 0.01780510660898358 0.007937532283900376 0.0805635184375494 0.011869876398029463 0.086008366332688047 0.0058043216138172283 0.0066680691529428914 0.0081139744835716093 0.15395552706494794 0.0087982980121632925 0.22474715672272566 0.022993296014812661 0.14941832681519707 0.21373314754072797 0.004761887504333491 0.078107150979362272 0.71040577187228204 0.14146455961095522 0.0048279333628703999 0.0053869513464840819 0.0075150104114366711 0.005418072797279844 0.081460638108510675 0.014978944441346592 0.0034400606525873362 0.011578960145252955 0.31894007753601955 0.23689210871099028 0.06617248681506406 0.42166740129656377 0.66639882612292323 0.15818051781689585 0.032187919607282414 0.15122427054091803 0.0089189039820412874 0.0062985623844614286 0.011931565807119036 0.0060261393420733269 0.15727016854728612 0.085522675964266368 0.82640805585793564 0.15144210218809351 0.0034324995746022641 0.15641882872221796 0.013809781811335187 0.0034513045843922647 0.2149984095997417 0.0060069950312888918 0.075819597349693305 0.58064248129303075 0.069006536662080287 0.086290748257935479 0.62469501561144569 0.32084109881207235 0.080552146826270404 0.0086073659501740094 0.069433172213224648 0.15823782459192015 0.0083096936156300295 0.073016716555718647 0.0081421272275821032 0.087205705741674661 0.23089819494859415 0.15874145855109234 0.08924602233795019 0.058530594528469725 0.021711953123848562 0.078470600211192648 0.082629140739555074 0.021423651172522908 0.93020865574182021 0.14946917687812353 0.0055134886778732389 0.089134552979899001 0.081014784264888687 0.45315676936668337 0.08566994052515392 0.43797154842730035 0.22170340506486777 0.010514687833977427 0.077157290537572365 0.084327342756894269 0.0072959095378367705 0.013563073923409562 0.24596598441828924 0.011001871027761878 0.23194486800156927 0.16996483222247574 0.25018170467187911 0.080098695052439786 0.0095379888097052723 0.0057178264585130518 0.0096490591432545486 0.10937523638178882 0.40980780895153035 0.0057474407530266622 0.16664926458629858 0.010125771731703348 0.082051436184567741 0.006259530843710435 0.15345202742645347 0.0063511502951354914 0.66779949832060337 0.01496160466218739 0.0076824721339676244 0.079682000373391529 0.16736653624992995 0.092817941216048139 0.075220629211689413 0.0053594704365236799 0.005520815256094172 0.0089054553897684966 0.011308632434223795 0.4464665893838547 0.004425837804087852 0.013529923115064967 0.0063589637538397324 0.08372679941243838 0.23209138392271611 0.60588429635112329 0.29817362227065947 0.076300102752707877 0.19895041536380739 0.63801327260974017 0.090000969358009011 0.42660877011412845 0.16137506443030092 0.012168256017659581 0.10007096944560312 0.28956436896213222 0.0039884851092925507 0.0075131569547560112 0.08620626804976303 0.090861398504063259 0.14911515913428286 0.0050886559216794316 0.0096709124084775749 0.078148932150944247 0.1689302844055017 0.5928183363802817 0.16277922491703634 0.23114015013783787 0.084566783658527545 0.082789054422640715 0.012667575309542777 0.006847551592779561;0.0037034641427125588 0.0095619249723399753 0.0040510210243271437 0.0088506819432812751 0.25119749598906616 0.011125211472677896 0.006817472496142625 0.011673226314021158 0.61671456231997424 0.0027133805784746836 0.0044062830059225537 0.0070141952443173346 0.010805865861017692 0.0069491265676598496 0.0049786478248557212 0.010464967661219692 0.0054357948251895598 0.0024200992758885739 0.35236140550707673 0.95116763057047882 0.021924720886206575 0.0087194023418541815 0.99010482075041617 0.004646477054485551 0.012327891690531407 0.0043446469703672837 0.0051357314875111375 0.013646425173412491 0.15385785214026304 0.0023654856569379993 0.78685240910607424 0.4040045848302799 0.0047391999303081599 0.0019593054969175381 0.61133759907153351 0.0061417965376837427 0.008206647062434928 0.005500708106357716 0.0046721209978056108 0.0068567910319544297 0.3768778167886378 0.021477192512473434 0.41544553572316706 0.0025978678552434848 0.0073743624857203031 0.019163520458396279 0.98510114156255046 0.1980615259437643 0.81325049932891358 0.0099632404030925471 0.002783259711845734 0.013395762758511785 0.0030463380799251451 0.20844235927387506 0.0016342189687187246 0.977458900408396 0.0100037555032087 0.0093516151043639782 0.0048536497768696882 0.0084933156284776757 0.0078706517442936677 0.9593631173636773 0.0093538159503267198 0.018655096759541752 0.022739982644655116 0.11105081441667523 0.019452249078636543 0.405138789490193 0.023794512195649108 0.0035664678600392614 0.0079398211238893152 0.63267881558143357 0.019480559024700778 0.0042982407173784501 0.017910887388882427 0.011135711429790484 0.0030394612212871486 0.0032851805958635919 0.01201593432085123 0.0067879975771969192 0.47601122100431603 0.0077709976000697022 0.002716144197634125 0.0073532618228914345 0.010855532929523808 0.41141041914733367 0.61422582383696445 0.0084893431839053596 0.018052896013390232 0.0054882263262434313 0.014968230268512215 0.013094448082221296 0.020896480985283718 0.0020115883754381987 0.0033720769411167287 0.011267733396576309 0.9622510466648152 0.21528369628971022 0.40457646630791932 0.014673017905643871 0.78616694515250574 0.16363902421846246 0.92857020832963888 0.017479829375601146 0.96612116365464873 0.006702252922187334 0.011283668558885768 0.011328882811263097 0.0014611698862428302 0.0052338841311194489 0.0053330455385145669 0.40222782685177894 0.0055134986183623547 0.0068242717443172413 0.9462778349978388 0.97635334914892202 0.011121367661453437 0.011700161411033957 0.0029301301318011672 0.0034787228206071678 0.0045324203798232645 0.60220161685763185 0.40242689317535096 0.0021580709663829626 0.58287318068093941 0.0038686482529185014 0.0037858927216196259 0.0069940222695601354 0.010561601509020118 0.97736114723628975 0.0055703117039484287 0.0041588539327328646 0.19182456911390375 0.76067575247790575 0.0052893929795939081 0.0055849016969801261 0.0071434296089125443 0.15596633467779231 0.0080731784614006576 0.0021027488359469989 0.0082298701177168209 0.017204623892316147 0.20849800527554449 0.0041454782324318127 0.018643621289281813 0.0016953520312245885 0.023412867227070717 0.004217918588158189 0.0029443995397975646 0.94295451180063139 0.0034029662816748973 0.0068056585081778089 0.0041355720446258626 0.97915973094376474 0.0063467721521885366 0.023192940379260434 0.021819566987232489 0.44730908488449922 0.0084044392107289149 0.82609352504486677 0.015335072111514001 0.0042803252248454406 0.007550720991417203 0.0071372238048914571 0.0048785792850726869 0.0079451289261828033 0.95919059391129002 0.044849077340571322 0.0049012341020260308 0.0053894136450894116 0.0031452610845443137 0.0018035158035845549 0.0041805169951450085 0.0053843952467130737 0.20229464785731796 0.41156598526771826 0.0048347141918348427 0.002799310795900616 0.0014406718885326293 0.65594014361859398 0.05723532376533752 0.0031100514046925641 0.0076452949331433208 0.006772054505925231 0.0027513227313849024 0.41023538238842172 0.0051828579843411823 0.017192826450552475 0.53152880293021476 0.0032593675419905579 0.0090779872394018968 0.0069048427609022045 0.0049042246518594288 0.0044896905826195248 0.0084402120027008611 0.00079704642058308988 0.005434794500381564 0.0055763212769314365 0.050350981084718686 0.40137934627335747 0.20307967100351568 0.020938550618167295 0.0036106258034051568 0.89380555123598826 0.55800895482011093 0.78127323825878336 0.0034334191894909594 0.97050899108084188 0.0052651154877515708 0.022363556758736913 0.96812266672908798 0.0071725776510707584 0.011120115891610178 0.0042300262878592673 0.0075984718142260033 0.012102636012809514 0.77269633623320499 0.78652579609344953 0.0091208927327586578 0.0072504883946005296 0.0058333388287328241 0.97515027770826401 0.005150622096013825 0.40630320680582876 0.98843886151956961 0.011703203512874906 0.0037988078148971736 0.0014720954093006811 0.0074825117127613004 0.002064903896131291 0.006199306226524229 0.60497936696074861 0.0037271924989909899 0.59240419738498296 0.0093285173858457648 0.2142759693311713 0.39420718942226995 0.0072994903632059597 0.42428307421228029 0.98323937498145264 0.0052361494676847363 0.41172546252836878 0.0051072434782566054 0.80782405564571047 0.61902710804169903 0.0065434824657772984 0.092679360455935167 0.0037240633647128577 0.012346207801883701 0.0054056032227700196 0.020643302071896116 0.011580764539675733 0.39436600495204976 0.010826135328772465 0.010174071029467144 0.18079952836506888 0.0029771046962225301 0.0183081567573617 0.95954820349777348 0.0038230010911310111 0.0019905949284594569 0.0050516463344407814 0.0094550536508094512 0.0074513809392488892 0.78217706903363271 0.0014234145365914382 0.0065985132581685884 0.015245529917096327 0.0094477079466555626 0.0052594445444580336 0.99838232562178764 0.012897381226592751 0.0016856025789832156 0.0028482217832205381 0.021508482806366601 0.4053046768279247 0.035536006156920874 0.002818093733778742 0.0047374897599394639 0.0024328159838295114 0.0093719635788646945 0.0071805599767351281 0.016588641863986221 0.45210999428928467 0.97469844104337677 0.19934524657680486 0.0079188390293989594 0.0040748802836904265 0.0028720462089101093 0.0024923734480637892 0.0035785242717325961 0.0081259436167849339 0.16706251554872098 0.0024964182823724321 0.21000382226508038 0.0041498897923838325 0.0025740090826230533 0.0087810673959277837 0.014559913303828165 0.0037749285979126941 0.0091900212797948432 0.011854482141486296 0.011026916567564018 0.013450226897738213 0.38553536457171816 0.40022462390502633 0.016019005870388334 0.0046065106530899782 0.54115729916698296 0.0054096692545656522 0.0098505006339128683 0.94831185647790173 0.006654117985473296 0.0030528250326911149 0.015652093120661809 0.0022373456396546673 0.0097228829070901204 0.0097761816228532604 0.0057699726142635757 0.58650803396190043 0.0058232678847141509 0.0024867187987659325 0.0043924444943887154 0.0041081720251689574 0.0089097758218339221 0.008260556663239129 0.0026142433529344209 0.0058694703180410101 0.58596062943085381 0.0070686760282281432 0.011214636503123947 0.95618311631684272 0.0037484651649564802 0.0040159205997559091 0.020020145362241799 0.012673137176624123 0.0046863657913886105 0.035257409803293199 0.0032667722431840079 0.0057289851596528159 0.0067477542804821617 0.80412025192938064 0.014491874625060897 0.0071169447833872232 0.00644761541477457 0.96908616541480974 0.0084578184322163623 0.97126069474633425 0.090961269524370947 0.0051934055728639133 0.0054256274498679499 0.0094246539113257265 0.0051506609008404062 0.0041849530686657562 0.20789084905606506 0.0046625765462184341 0.0092283958922471047 0.0068084674300684656 0.0063276816543981224 0.003550861924381555 0.0052434202927174964 0.021786843098987867 0.0099489166701471586 0.034322707199260477 0.39872101309366492 0.17751043459625274 0.01824727817383881 0.011181806706547996 0.0047272577551500513 0.0041749188594500716 0.024893141092779486 0.021733149204694865 0.93427685931507432 0.9784769683990171 0.0055104311412729479 0.013841746374645006 0.0071075633395526385 0.021665668275067662 0.018318828082286298 0.0047025389276005702 0.45882352063811743 0.020986862781200172 0.003544337159007416 0.78565685442919353 0.008016293768444864 0.013266311823107739 0.60093412730882956 0.0021431671957216013 0.006893091818969725 0.76296351827071918 0.0075728290573827866 0.009297878207608995 0.96050575797205817 0.96388649878402732 0.016942325945466019 0.76832628770874911 0.018561822314069613 0.0040997783858596325 0.002026842069813517 0.0095500916639388346;0.010552160366732923 0.014563488182562187 0.026251434535089168 0.011538688221139754 0.020960372191765771 0.018456186125419251 0.26008031619403543 0.25080949071483233 0.16623176577774632 0.041416992506735507 0.015836186261878334 0.0082906910472460051 0.014394309052790578 0.036234087656517346 0.0086759812250714052 0.012269718099262365 0.13999041360247907 0.0087463597244802366 0.36570180383639439 0.20404674516170401 0.0096489782729359975 0.68020215222200209 0.12980527640917938 0.017061540089230474 0.27610038665379472 0.0086064336915974461 0.22582306521182216 0.0086059808535085287 0.019477105014516206 0.016210909167992841 0.013962797580213744 0.0055757377756894353 0.009643946135924706 0.01396074686275735 0.018741264919374563 0.34293212256691447 0.021461741314709109 0.013303122764627792 0.017750028511566238 0.7723838415752502 0.25461641085968095 0.022105054361839415 0.0073473284260778277 0.29745978850307109 0.010076815505054614 0.14525901132984304 0.013812211402814726 0.025564914034756463 0.82227603535633187 0.0069031930480076631 0.013950358723940877 0.010493239817501804 0.28920545897969557 0.0076055973193788319 0.015907483851480671 0.012466854104047 0.10576503777517098 0.14650466611699489 0.3990568581085876 0.0282513056625796 0.014014014246812208 0.009964997724421415 0.010969990817015544 0.39446634689810633 0.69630993901423899 0.034200187630894024 0.012930674692094975 0.0085001877534969725 0.12851761237944131 0.17302653728258602 0.89608005796122747 0.014872732470897262 0.0094203358075178618 0.0098913564424083049 0.01225532774519859 0.013601548726912495 0.022208187421320247 0.12985285984642125 0.3727034882112209 0.027653235497087134 0.22555686845931572 0.12860159603135571 0.14057465305487488 0.018142712501124158 0.03238573023147763 0.013589927035654766 0.0095251397510814073 0.0074414195645245594 0.029275306703263556 0.0094578708732403465 0.010984658601873993 0.012517077729177576 0.015446321353918343 0.019178265287281421 0.0067707698649706717 0.017944192218865361 0.0090134865835605794 0.3434130311370065 0.011040056461780304 0.013277381469209459 0.0072114751590976016 0.010786594902524134 0.2818038933123358 0.01003425316115019 0.0096199068801238914 0.0098704463097823453 0.011393284857954674 0.45071839445088985 0.011232894531415075 0.11931810825365911 0.0088057656641800496 0.14723627435778189 0.14017351087941302 0.016340715317358544 0.014875965557788874 0.0073448061611991293 0.021521726170067836 0.014216510607954431 0.019546985413383285 0.5867943020250207 0.015574962548566442 0.11312627392653674 0.32463271174775227 0.0096468863494318068 0.0093494658717318997 0.012611434168018505 0.050519116339329005 0.014186631148082586 0.018168996861272744 0.0067125325395382685 0.024554564686816209 0.012513527461738292 0.024079982668395044 0.47677264889888288 0.011439085303178265 0.007415173249820624 0.01172960890641753 0.01596274639025299 0.012970010817842883 0.016548159085923522 0.44738909711477903 0.097525720730221782 0.011751828625721453 0.016453276691555521 0.018762715247129316 0.12533732198840195 0.22212106508940854 0.13775894955778645 0.01260661840996647 0.019134055189774908 0.64170312319635125 0.010412694689350225 0.027009784406404641 0.010691812839722259 0.011441135255114537 0.014137888768889743 0.0089224018673434279 0.25081442218708722 0.034654708385337747 0.013183880933518103 0.013787544427429859 0.015374884163477692 0.028231981122108354 0.79092813230719061 0.029155491177562987 0.0096997281743474335 0.86401688627485684 0.05363239966969334 0.13881746253069679 0.0091062434931467196 0.01178373256004653 0.0088007391389373895 0.22166221664605845 0.010739284155691513 0.013478493929106862 0.12562403045968568 0.0066604335888972421 0.01406144876087102 0.0095739829876239253 0.0077280507196646423 0.12328256774098176 0.012818947133306634 0.0090378590295632135 0.019238193882883215 0.017198297024870735 0.0083945312606949919 0.18220915133805302 0.45454372853759367 0.47558020477851476 0.11699899727819439 0.3417203070572124 0.0066961347187103511 0.014474934222910119 0.0069594834599239598 0.023265045694797145 0.009753618699745668 0.013546986185152713 0.0087053022424088203 0.010312104350521104 0.00985483891566717 0.011843641027884657 0.19247941817453601 0.01485644778750218 0.0091532099840201178 0.010525413507538233 0.027749056123087232 0.2819711439530625 0.012116204219572621 0.01067127032155281 0.011734370576341628 0.14796725080843526 0.017991516022633994 0.0062981787755295275 0.012639717607638342 0.010939573188382803 0.02551582575735762 0.015422706475079399 0.0078165692264678191 0.93335404320675641 0.033796483320719439 0.0093466752306949914 0.33847850023761383 0.016457822731672161 0.011769642387299373 0.020803574822282796 0.016171626696476642 0.0055748092408093985 0.0076537007133576666 0.012582992727858159 0.11701669308147541 0.023307294149144935 0.01955086204392463 0.12702865663461446 0.019442372886470168 0.02592008669696818 0.022238214052988089 0.0067867873064166705 0.017604560755753201 0.010685545955090419 0.013501749729032009 0.012779352996478966 0.015024805342428024 0.011732519482833508 0.0074212343520500077 0.012979111561138498 0.11497468149408484 0.029243252429463358 0.011043184920884738 0.019325420168328816 0.011541211554025595 0.0091621485083047387 0.11077000681142447 0.011886514019502541 0.011429259059765344 0.011383376045092704 0.010610337797386739 0.0212239479532003 0.68622420219577407 0.02035786237165008 0.010591860830578876 0.12920240341875636 0.010340508881544737 0.027015246993259225 0.018084708104736547 0.0050277349236688956 0.0720077401602741 0.14065789878729465 0.0074120287636543257 0.020464905387309953 0.012111268297769472 0.0085179676972782642 0.013146633602605547 0.015828885541232577 0.01886682501718372 0.26761161590288851 0.0064080739441829421 0.0089307437330708971 0.015912981452103878 0.23746579424679212 0.46191261903612663 0.016479338638445806 0.0082865178105464374 0.67527252537227478 0.24465870959330321 0.019957631009216478 0.019582837868746622 0.3229088826535873 0.016833373027647026 0.015243368820771784 0.20217403775116791 0.0087039085568829527 0.29475274923372025 0.016556895310164289 0.0083620813339044201 0.010680973499747039 0.015845811741419923 0.13402660339027173 0.0097462105865556547 0.026841632347297802 0.010984481286527565 0.56795001936581291 0.016064623831990445 0.013053200498436671 0.010433976140595795 0.015117845790478555 0.0073862500042815469 0.013557593740029964 0.023241054620750663 0.010969450492119542 0.02107798277285754 0.007973957762075011 0.0096686944640535354 0.010984592696036532 0.010455949442580468 0.019916896164684166 0.043343470528669374 0.0073980097727378812 0.010527561635731753 0.016596366480758813 0.15206778757060205 0.90709181345131473 0.010863160469116402 0.010737021453976005 0.0082173788664642883 0.01154589121178219 0.020202433052296995 0.0095478667860892357 0.013276142230039813 0.0076644588997476365 0.0060109199151218463 0.022858302269370804 0.017683888559738205 0.013455695910915045 0.01050390874373432 0.009543941968668191 0.0098920007986932987 0.0081889612503783724 0.013656153864656698 0.014898298826798202 0.012116964863482776 0.016124429453065456 0.45007399204540371 0.01676625831887496 0.011720416911341973 0.11797408900621638 0.013901800410306508 0.0093111766676924109 0.0066086271568649175 0.009135688253471266 0.12894640344029365 0.013415798296119556 0.24704874798076282 0.011009230562650053 0.0096668863169051267 0.0042103558437839488 0.010166551828983083 0.14192712206229846 0.0090971742142650202 0.013982011772880986 0.10585167539481334 0.78113485848321085 0.039863765822257882 0.013958286502668851 0.3037324116254459 0.011695023033687472 0.01102146900717246 0.012336171821069036 0.035498648382566965 0.035278390821944998 0.020252596792818905 0.3549032924410459 0.049286894751217121 0.0060525226507462896 0.033206437022321372 0.44333703119505019 0.025066513118467491 0.01274402609755791 0.016191512470860574 0.10991250075413818 0.3113202297527593 0.0070031257886353721 0.016120344510813206 0.13141799418034028 0.31926943527880436 0.32100827446278041 0.016306209048503335 0.0051647478000844665 0.012208483221846473 0.010322580476925561 0.016047666264743004 0.016016804988240506 0.444712166837055 0.14192026531993024 0.0075529951649790008 0.32049041429744474 0.028071365531882796 0.020080354894158811 0.0049386272565150541 0.012428025383673011 0.0093937467146465083;0.0091371579337167445 0.0054361497340696171 0.015784264535231816 0.026246767949498886 0.023909390950793235 0.021991628479950384 0.016455823507916592 0.042979168423017522 0.0078173064999859723 0.0094927913005940345 0.0083707405235109167 0.0074115870944149367 0.01190247494277176 0.015884577664363908 0.0098772766894963705 0.016253847667833908 0.88266648502162037 0.0078497702869558435 0.045830268197377788 0.95266561305084252 0.0074553915011004775 0.02212276374660746 0.022081624793856246 0.015637395150210304 0.020011263118205752 0.010991738948359649 0.0071079506402810296 0.011389467000670917 0.019120329481082551 0.015018357461255596 0.011728978572627145 0.0072889385207547015 0.0073789384487341096 0.012422249789370622 0.011536531565763184 0.053075383601625836 0.021722989885611034 0.01631285038526337 0.011324584406544557 0.006334087145543902 0.040770604596932568 0.010304107802543899 0.0064380343252165894 0.015513205534570852 0.012658659347690013 0.92263804707940489 0.012755538761611944 0.82895161047109267 0.010823318597198792 0.0072266377475113854 0.010413910575429324 0.0092300194089549661 0.0096910032546134398 0.0099461023578683028 0.89866927878722991 0.020824717105026383 0.022686250449217127 0.020197128532562541 0.010994978859537366 0.019991335009140122 0.0064840373860586623 0.015143000791028045 0.013282367000114311 0.032611413269598349 0.49684946258200036 0.013208884356184619 0.011867677444473094 0.0081041451638040017 0.012439145469590107 0.025228604922051472 0.93655442808641898 0.027506389650035559 0.027844937540867712 0.012891903055274479 0.016330908677656419 0.012389392687496382 0.00889302639078976 0.0065856941514105885 0.011339731340085799 0.012541482467170243 0.0079246218573967714 0.015694374709657146 0.019204814256601949 0.011630205118666997 0.017996405572078877 0.0068487879090449733 0.023062772969710672 0.01141245989759301 0.023534437294670918 0.014825864735686135 0.00663352566899633 0.01464702737711469 0.0078701942619681733 0.014282028811052097 0.010605931917103038 0.04154704250985719 0.01565585707306651 0.90038522740422011 0.017137408220747663 0.010160200468527034 0.0091943723791457019 0.010925773118712262 0.020066589822149233 0.0097293831859480116 0.011380645753775712 0.015033092925485807 0.016728005388651979 0.010075573535865726 0.013901422394873769 0.015435065364938955 0.011259935520525658 0.92258781900654552 0.021090881089693966 0.010626885706728066 0.011024299604036209 0.0083241277770682437 0.01008941834785165 0.016587978812250229 0.020339669947191767 0.04925662458063039 0.013672825620888382 0.024420615408051998 0.020877134627504818 0.0048216705914055254 0.0082508680093001819 0.0067324533439611853 0.89541874368884133 0.011797546795831667 0.016957944171262854 0.0069375763047793537 0.0041449892253447905 0.016515976604238022 0.015177983809732119 0.051436412200613318 0.015720199222622629 0.013833223137238268 0.0093218995830244584 0.018683926402296887 0.017565404028013168 0.0092498711396029297 0.085598964916700979 0.0030195034609056468 0.020917789549221272 0.047887054776671767 0.012345840104665677 0.01556578891917537 0.86532480168817716 0.0091082214313347523 0.013659913202943484 0.006948417863071734 0.023166134632384875 0.016378267313535578 0.057597746922329857 0.0156549902401724 0.015464316256182341 0.025808736327383314 0.0040779485386375344 0.9451205191537877 0.017605613592727443 0.0078528588857140515 0.010313468527754381 0.017488389562998728 0.017402928885913358 0.022623557121686746 0.95263823514735302 0.018110032774458232 0.50204175889001856 0.010943457894865524 0.7827730619383757 0.01315048368481548 0.0097018830981635031 0.0089474168190822601 0.0076941676862364253 0.024224903317706568 0.0076106427265235591 0.14273100147709705 0.0053281242378611683 0.019010168201848584 0.01605232322540099 0.0016859565993032457 0.038774764085291881 0.0064464675313562229 0.013046908146351677 0.83587738191803918 0.014949429573258869 0.011689241693337824 0.0066578844999195218 0.0069678557987812167 0.030805275375339281 0.024666196971397998 0.031613710350765989 0.0035022713999285204 0.0087703129696190957 0.007774633457355698 0.0082034339838398286 0.0064609395040202723 0.013089417339487252 0.021387024159486831 0.013592901556410367 0.60228274773088708 0.012325134480791436 0.009896313919052796 0.021644408898285783 0.0081526962367612175 0.0080000855496691527 0.013151814739276246 0.70442037778122024 0.011041941246117955 0.014227901716490146 0.010338050970047429 0.80925369108716505 0.026443423733471541 0.039671162303304752 0.0083884338177629657 0.011848234196940971 0.01735371673214009 0.02922433019173103 0.074901929648662643 0.39002958662500786 0.011226195734913395 0.015808626411656417 0.012341787626805673 0.013411824582989864 0.01136462268868082 0.009621028571725726 0.88993213799555193 0.0059255140684401908 0.013765529368060036 0.015991943655065573 0.019919540430807407 0.011042627667315792 0.11214508159513528 0.032483808016593028 0.016073426950797307 0.96101137301015416 0.0057945008912098622 0.005567602395374383 0.018083165953183558 0.0085064407819716303 0.0034406430553627467 0.010922452754729414 0.010877026389015323 0.80232933357452008 0.0048238998622744233 0.01137145292628924 0.013390186413618867 0.010046354544287461 0.021016918644395005 0.0099141392219684651 0.020530130958614917 0.0076878390506813317 0.0116789671624641 0.0081284378021738261 0.015809697888463099 0.017655256402632075 0.011749269037748138 0.83354050703256455 0.012410109435315547 0.008818650118009648 0.010327427407926013 0.015754016734721245 0.012013161936903577 0.0063921707219087021 0.011541648182896 0.013938918352931033 0.0072911182713386842 0.016224521747429353 0.0090529333899606185 0.03888371795434279 0.012441839690597277 0.02431826876509471 0.0065573183934130412 0.015646373592760741 0.028876082649165354 0.067327334126670857 0.0054484040117972737 0.0082332598979689593 0.010971214263232418 0.029714398445923121 0.11733590592736834 0.016592277604197136 0.055601927175482291 0.050604871643079641 0.006079597004086619 0.020149219850559758 0.022487704880963934 0.07598990841719927 0.015457568779517592 0.8687678837677415 0.11287673432823983 0.0091074538422554821 0.91324201575061636 0.017499755119891301 0.0049106008099716256 0.0076979562108411975 0.015455705303285598 0.036373892420765185 0.014075672282672945 0.010360407902743885 0.019577347502697302 0.017220015062753259 0.025265090187077566 0.01407232569026419 0.0096937517845956458 0.0091107767019709546 0.013206124277252096 0.015261697473627864 0.018293015276690791 0.0072897113990054684 0.90628548373696272 0.0051543399259779106 0.008386176171146181 0.81596674728994534 0.010988920224527871 0.015974502701552207 0.016983134200200221 0.017209572031344579 0.012018634357224261 0.8587692689457227 0.92843753292482978 0.018042416845872919 0.014647089774228191 0.011456023369196818 0.010246460254640504 0.0061168565008611238 0.0064866127231260028 0.010053448373004238 0.034938556325630053 0.0081042099644990304 0.0078555329686420053 0.018517590253918866 0.012916652021844752 0.013676717865179719 0.0073715662175020298 0.0169868870461015 0.015083218321998115 0.0087490345426789115 0.014725161998967746 0.014510212332740916 0.01037931037998815 0.0090159088520373239 0.72942938115654687 0.013013110483669363 0.42006989433704994 0.02182065309617048 0.0092727096575902085 0.012813279593061271 0.010047498458727461 0.0075942832986127078 0.81542121824236813 0.016240286589820109 0.0079226656719709951 0.016546357885140667 0.33010927082515329 0.0086966453729693007 0.010182556415717147 0.020324213239019354 0.010607318273867588 0.85282476999144052 0.071600807165846284 0.013896565981644925 0.0156194418840549 0.018539538729514284 0.96942964855707237 0.014007273348732297 0.0076619510973320887 0.015212896808618528 0.017302627818256054 0.021494790263264042 0.019090837870416735 0.097599669418030999 0.070686066069576503 0.011326428132425844 0.0062387429993284197 0.045484769673098675 0.018542203905557067 0.0099072436078018085 0.010705011663515071 0.90234686157521937 0.045808128915133257 0.0061368107834962951 0.015780191964602206 0.027929993660831237 0.065579118374258644 0.054269014089360135 0.0113649006355567 0.0066046407828451708 0.015277488549605905 0.011224580611251554 0.033346852217620016 0.022525648707923812 0.33321432856229438 0.033205880320860123 0.0090559612239090245 0.0073809068487616578 0.039271578990833514 0.009514940412289034 0.0059522133447115367 0.017103471845029996 0.010707918927631992;0.11714774659207065 0.032550815837510148 0.23186772697859248 0.003116237276365359 0.64152441617704259 0.12866077612561003 0.0028672594002577966 0.23143361509364341 0.65094488666942685 0.0032766769456702392 0.0020265199031826793 0.12167774077387172 0.0037402696127434129 0.0012637050474914515 0.0023957475777037817 0.0024651768029622942 0.0018442072440508991 0.0035572173645672931 0.0046718198909645415 0.0061792795030769605 0.11623032242966226 0.0034909324251386721 0.0060484520416888184 0.00259968792765258 0.018175680873584236 0.0050343355322195454 0.90216758735623404 0.00334122082725242 0.0032904197547658875 0.0016964995628748702 0.0024175875237234194 0.0044426552768642982 0.0016977271103510445 0.0025680130385532462 0.0056327515714856956 0.015774227833955323 0.0017782031950913108 0.0062339396354726892 0.0033201467354045536 0.12000721445559709 0.21771091630776357 0.0074486212133631968 0.01441046629863723 0.78367658684047004 0.0043287421320260776 0.24128451847463017 0.020442488629900561 0.14261736410006823 0.86067116260574994 0.0021300614535127169 0.22810476187506212 0.003412841446290556 0.1274753843682867 0.23667242794130944 0.0039680946734585824 0.0039726252753877781 0.0035842260381549135 0.0032689205875760323 0.11775657907968007 0.11125818563106912 0.0021189577719369964 0.0075516375395081204 0.0024486286416153785 0.76250669620429512 0.34423544842828091 0.013368222056515175 0.003206520769163012 0.0061669570832046088 0.0026397966832111194 0.0041642308388785878 0.31594864906827874 0.21978537817716762 0.0021200044962465959 0.0028091796291689866 0.11311292794273194 0.0062774562467666521 0.76059334893216124 0.0022021745729910538 0.11473826109563075 0.0038167663700251174 0.55816592775380081 0.53846990065615241 0.98548707547523184 0.0020730920434288867 0.0031624151716238775 0.0032880310159681576 0.98008715105580546 0.0013625655952846792 0.11978650479181036 0.00567778606820227 0.30040807695054877 0.11442769586281364 0.0019154479605314259 0.0040879102683572368 0.0027049641937298531 0.0061056468864612553 0.0018378007145956456 0.99011693951043145 0.0033655582021743314 0.10736588931821966 0.0039221631659174623 0.0020564794527988656 0.0070571987825444396 0.0033405247507836164 0.0028753666128312552 0.002996838011395898 0.0023455204526907341 0.0020913715815028028 0.11645268090326116 0.0038393920937019477 0.0033800201268663738 0.23254907871868774 0.0066639419604987175 0.23048517440036048 0.0032184908986336589 0.0028516058766035988 0.0040303415364425325 0.0024704540684252216 0.98459753284065243 0.571138643053693 0.019772277681193322 0.9845988122374173 0.012619980376216021 0.77305212289037728 0.99370051569354723 0.0057024559341768404 0.23424269617172158 0.001564324787796249 0.003033296537791861 0.006542055634175984 0.11441902690915776 0.0024447599560527135 0.011068077903006042 0.0063470135835618805 0.0029287260254623757 0.002145214733187688 0.0023743524632285442 0.0017899322661207244 0.0031039725122735447 0.77240674043520963 0.25210399937514372 0.11993107547010834 0.010975033275797515 0.77273316327508335 0.0058433676272563939 0.0029084571933722944 0.76962033479355263 0.78852233503982172 0.0029449811884104107 0.0030310608086949837 0.12037743812516259 0.0046645961653999151 0.0081111621384253648 0.019187839045113803 0.11526780725599362 0.11519684423983674 0.22924496465556748 0.003769415216301559 0.11361091795745192 0.012436118719030474 0.038041712272336263 0.002847780946380234 0.0018049502718279146 0.11745743958069223 0.12796457279813034 0.0035149186236184643 0.33496338178604185 0.0015690421046248449 0.34452726255948801 0.0026581663194182137 0.0016950810888658168 0.0022490623265973698 0.11595219459500168 0.23669275990111904 0.0034159657912209243 0.84949748483502563 0.001788041787844702 0.0041003904002896484 0.0029335073395494356 0.91102001232778285 0.9718344143476324 0.0030559615922374304 0.0022287581016548932 0.73804303946916128 0.0023213743827281853 0.005392206290755471 0.22062724755009377 0.0031260791569961413 0.34071194139573735 0.0037144223494486621 0.016692378750291184 0.65469595252338419 0.002460909601459455 0.0018330136090699306 0.0094734451954437849 0.001225511902748758 0.0031057600180168731 0.031490207470235863 0.69476054434252421 0.0053966592478991871 0.0034773149326212723 0.11370279373507246 0.0021672145488808203 0.14241420625042378 0.67167127979737917 0.99101363418136224 0.32946316532970787 0.002643814596019109 0.15135789827144816 0.0017770758578820704 0.79708637968696283 0.0022601315175308678 0.9891710396322585 0.0022267843234855733 0.0068928669615150821 0.014294188849608458 0.65208065178469932 0.57231097831592836 0.33026815690114864 0.0042014352188257196 0.1272116417201207 0.0095433225631798378 0.0050237255544701535 0.21077508444966733 0.11683406759708814 0.0015556707899138243 0.0029153847905913806 0.0027598896199361373 0.55216240326010235 0.0023748144644573982 0.031943045885518294 0.0051531539684373205 0.0032359269099700347 0.98511400135070992 0.041293087205726747 0.0063857149995475027 0.0057575705485109693 0.0037019435870387788 0.0028591033855385412 0.77067148615100312 0.0026972401556268348 0.0023269086990060439 0.0030009007919727048 0.99707121771350316 0.0027179140271852459 0.0042050920496148319 0.002487325653114234 0.0023426460643833818 0.0053866964525819405 0.11332679703140197 0.0029036062087251222 0.0029985049815921005 0.77443461103671429 0.75778191745532752 0.015187695292762204 0.007049260371669328 0.014372646852753213 0.0020934135668490882 0.0052064172594068047 0.003026796340614321 0.11390322022188043 0.0058093989998048703 0.0031351447695753677 0.32951966744555566 0.99577707343569699 0.001411655752281229 0.0035159413872727007 0.0028737848228952631 0.11757548983691204 0.12707354896204326 0.9690029861185232 0.0029529194479002516 0.78497465149738166 0.11573199764990985 0.34477061696440819 0.0097095097522297263 0.0045807102181688953 0.0026374144290053836 0.027990966016139596 0.016249658083458313 0.0045079343983303946 0.46274014048744155 0.24526352547370081 0.97364370708305903 0.0056657441750135856 0.0022874248532063564 0.006077278453096328 0.0036276044842707298 0.0030816880438472379 0.022589670481285795 0.0033414315078381454 0.98518079407159109 0.016823728987674164 0.0054253661985701647 0.0036995682344139772 0.0025538514777024295 0.66467057703133903 0.790638112510613 0.0030243507897914899 0.7750479934317227 0.7874388598024602 0.1211277741521633 0.0046884909077322514 0.0013056228719632529 0.0031614941367257557 0.0037986311231741673 0.0030626146269719379 0.0026032224032754001 0.0077417220665528686 0.003737575101325513 0.33763320272067804 0.11292692824625826 0.098715712477367393 0.0034334351794868649 0.11801355053806006 0.0025645674524463376 0.0035449344713920495 0.0021269936118981118 0.86478302668215212 0.22814024222007964 0.54824694871551372 0.0022156272872604103 0.0024096997246582739 0.0023012804655761329 0.0013513123148572307 0.12852671231065324 0.0011181380861305938 0.0056286194247826575 0.87532809854692928 0.0023342949909993197 0.0026514611415540609 0.0048779172199024199 0.90397941363570689 0.0027923119277766771 0.0037607405756543027 0.0015164950348809485 0.003286263882637848 0.85567092861531147 0.0031982711693719097 0.003607456506539871 0.55019071850635659 0.24401875857826277 0.0025687461592115422 0.0019692441754717558 0.003420593262652448 0.0041035526856218005 0.0082275975545966166 0.0043756016022408273 0.002659518995895832 0.11584435103350524 0.0053628420218647934 0.0044192990600552557 0.0027744064287298881 0.34302499496941291 0.22487990980862038 0.0035979477584376801 0.0042339281282573393 0.0046590577129842995 0.013232285959682261 0.013963841383945536 0.23114751619400145 0.0033113291821471602 0.0052193327849571012 0.6795027569610721 0.0064656616409826118 0.12746489545023923 0.0018064938993958717 0.0022592769655914169 0.33631624091494311 0.11012864303629188 0.97958550526456223 0.019866165480233053 0.0060586737991983894 0.0035934580756681223 0.22766101060550137 0.0017526653324925778 0.0031332172643745611 0.11674868504430082 0.79762701621909837 0.23738328742696246 0.0065010339987925424 0.002522693288949432 0.13385906039162571 0.0036697225625589346 0.3387129303898761 0.54417815806941428 0.99644180761594148 0.0034705243902833664 0.0062947738782750205 0.002677311538098769 0.0032342255134246815 0.77451266524169005 0.0047511049467748052 0.095618714312666109 0.88698615828691163 0.0027571902182935682 0.0037148970390456643 0.89335130726450807 0.0039141023172912107 0.0016938078767376994;0.010915677549273788 0.25297576724380416 0.012134350346947258 0.071091999194577593 0.69423947183638668 0.18303556006771982 0.32811163378713909 0.070586776175665833 0.077125058295745549 0.088115757343907475 0.0073039718474533707 0.0046927829775547589 0.01318420802062014 0.57123941556453905 0.067262936418027136 0.12998232463552972 0.243074515167781 0.55200709552881844 0.13359436983482403 0.12767762554870912 0.0057277985577365229 0.006788611586338914 0.0076676528423285095 0.19751931075089746 0.26492500307319566 0.068592402459396851 0.066476991184089979 0.61110059524925786 0.43567306283159635 0.012619791021468624 0.66974694605506857 0.0085793119696999254 0.29342526514226713 0.077690902706348181 0.49084665627426144 0.010606070416369283 0.049429433158436446 0.062104500326641228 0.0067620908348689987 0.13527238909860412 0.11739898858436501 0.30774960441275212 0.24916160185360026 0.0070595946113524988 0.56439633375774534 0.13379251277788268 0.00560714657070676 0.064669447464084484 0.0082116182093832715 0.077676116759914052 0.0095220328157083825 0.18709043266329539 0.14012118549182009 0.066859751053477301 0.13193502553664774 0.40644592367348431 0.13502612579077578 0.0063043190459874726 0.067489802237014215 0.0029650273695859004 0.0058204781185509265 0.0045137622008059944 0.015548414676990786 0.19582421174553294 0.29572254034656731 0.13121757742618306 0.006702234285000175 0.32644372268712213 0.18476351724803741 0.50586837775095239 0.18913622485014142 0.17855814365441447 0.064286032258702136 0.069958612657486777 0.61390407999643071 0.25827378395581158 0.25152130705952058 0.063359753252693607 0.065471978852480794 0.0040036733051484058 0.013915458421017823 0.008761160025049855 0.80399750608379206 0.0048241884287026134 0.65984551332492969 0.66053604939223742 0.33016163481929706 0.0069365160636032739 0.64055504334106406 0.12461487275355791 0.002363341408538059 0.58562862236813007 0.2509900115295769 0.0037405271822612777 0.4269618239783225 0.0070109027550598656 0.07087174113769798 0.005065756817198599 0.5161180155978643 0.048446790252069646 0.081604871119028463 0.010632930383717213 0.61700694144832169 0.50336346722154723 0.11815595974709561 0.066759612882871619 0.003895942346820256 0.48120301517261144 0.20704122517561446 0.13514482881704692 0.13006171911416692 0.29863272544915176 0.082948759467427885 0.0049603021132554569 0.0059452963551292239 0.0046419559300648512 0.0040495646379726455 0.12493923933777877 0.29394789181625303 0.0086118676900348527 0.12381804448924502 0.017396250860827266 0.35925619785669016 0.0031249298917516615 0.37341842225880184 0.24538374107246289 0.32640370713549099 0.0068811812553686083 0.13352302851340286 0.0026618811055365496 0.0028509191662418401 0.3692285867338792 0.61036105730352741 0.064885940717656174 0.01038225215342219 0.71324465891287048 0.37836630908375823 0.20284362901985853 0.073547005450154121 0.08974219174232731 0.06144755173780346 0.006532421656131833 0.0082352138032857972 0.0099445329958261428 0.37762003739163835 0.12811159054036503 0.0061487510227222729 0.5086464020887973 0.13278601432705744 0.47815317790749856 0.1305771033454857 0.072401945589611327 0.0048251298628852581 0.0053289888389263171 0.066769195191561118 0.068062151186132736 0.07187890314476858 0.31329752671490441 0.36041410206263447 0.0089927764447329528 0.36276931272107077 0.068223236787848501 0.19538424882634092 0.071982033816317292 0.12285457040168697 0.019465297080522265 0.07182216668899441 0.0088176622852845152 0.0043859225671166718 0.58328271246504992 0.068606213279142722 0.0064706708184034799 0.0071334097805924087 0.0073849994556169449 0.69093182972678868 0.13096031941373631 0.0039614612057886044 0.11885735711064192 0.004150538302150634 0.061495178902175152 0.073827534841033216 0.0046032522748177158 0.0094615649640452451 0.0062241548301773548 0.48651450650844508 0.42652014387450932 0.11812121986103331 0.20213690734816467 0.12449536866933381 0.070942059162584031 0.07473219074519788 0.0028217716296108711 0.068433410566787686 0.12399187700211239 0.0053748554731688292 0.37376613140073528 0.18394130645039961 0.0080837447748980749 0.0032221122379437854 0.13595673391858287 0.0044550010026870651 0.071976311621760866 0.06631091342110311 0.86707596410115628 0.13013290540732164 0.0035336502849721584 0.18827357681267104 0.0043445541872835069 0.0049876131176303977 0.13428484925423262 0.065859242272314794 0.0058740136530424742 0.0029183446532617899 0.073490157670034015 0.068441827203489181 0.56016440439464366 0.55086043327532674 0.0091597382434859837 0.86625475865901835 0.0089700102105256183 0.0034067784151836991 0.079428100258227524 0.082202420973910229 0.32093181928146053 0.0051259340343501958 0.60006730865213342 0.0038851507487436998 0.15092425540841314 0.0066764939418144202 0.0063784008325783563 0.0049475581149550129 0.44741217419208268 0.067293075854093914 0.31632826932281316 0.18760343908169591 0.0075012677082804992 0.098732153891202601 0.011592365168191636 0.40790403402113418 0.0042274631836813148 0.12811246759476289 0.60434858743533004 0.069113428636744315 0.0048128702484903224 0.23951482058133017 0.4333749864282912 0.072199264828314055 0.25822991393505068 0.1920966439036999 0.1303297132287155 0.34717694677067162 0.67913379211364733 0.087859719584754276 0.23786521386396919 0.1829455410336541 0.0052111070358227497 0.32364880690115766 0.25031974572625765 0.17278474831959834 0.058817828777393916 0.059470444437414352 0.43972186975745725 0.004855952401260355 0.13219326063357206 0.065861341201514129 0.25753052295999679 0.12539744108440931 0.074665602042676485 0.0041769939503458605 0.42871653750799976 0.010119844816855073 0.068740221453876107 0.3108697688107751 0.19041702364600893 0.0052426793923367118 0.13106405385974645 0.071121532660286563 0.073714959849566261 0.072954940002081359 0.0046394367464612125 0.06682227128950595 0.0061430472701306206 0.12510062184537724 0.13058150096389604 0.062068657764900607 0.62122309949646681 0.5424478918354656 0.011266577771306456 0.70133662272785047 0.19123825269345751 0.29903370445464478 0.073302219800827059 0.13979222686506615 0.35471295461886965 0.076589996679603006 0.05685332336984962 0.53952378370068299 0.0095345871476418265 0.0088040656747145601 0.0033114574501222393 0.42961564585399348 0.19505942843006541 0.003932850063058521 0.0039913934976746552 0.80418675356791458 0.072755597179413906 0.0063848634383414024 0.43098041448437052 0.73811967522194533 0.0056526177785002308 0.068207029285585405 0.23804989943053159 0.0038040573752327542 0.12851566111368515 0.89633177370815476 0.20845766113425973 0.5445091895273475 0.12394593441806645 0.0070638534684791809 0.0097312696600664033 0.53161895488600086 0.010742131555683321 0.0022024680395348354 0.13942364726673417 0.0092916185821859225 0.18082993972005304 0.016211273274704539 0.13101390527870588 0.064641390725264716 0.066754619514535582 0.066135507959798681 0.0090863020394887917 0.0058399219438041395 0.0049600136104335189 0.38033719969371838 0.016587530645024766 0.30367647849570051 0.015777453723049124 0.0052494536945751329 0.19623103298269517 0.12574881574767632 0.0052077565111270001 0.24087352595721342 0.0029407508845887788 0.065705838834180075 0.0071747752289616357 0.1240854814386409 0.68482167313733688 0.24094924330873069 0.0031911620760490126 0.065740246215939477 0.1889516388988286 0.1473118783894774 0.06433192917612704 0.067465609387562284 0.0041681704137978611 0.18456434921501708 0.067613428088199964 0.38434089628752666 0.0037396850215657427 0.24461880560600083 0.74837293669357563 0.0081114867471461863 0.0096351512037433206 0.68133782006014987 0.006404366230959576 0.073373748692327184 0.41497498139942635 0.004811558235438813 0.62433111216134962 0.0047098784294738183 0.11708536526077086 0.54416780313221913 0.012970645545215868 0.49458881122880477 0.012296499566833548 0.007236255316705264 0.010839256154574012 0.066337275714599284 0.061079610711067246 0.36281305173887679 0.0090395816177366792 0.010911237601525001 0.18979543663263587 0.44955972538120387 0.36930955488680711 0.010306951803802856 0.13181901117823458 0.0069311195970924878 0.030694556889179925 0.35504393120084177 0.0042747670380329358 0.067373701392388519 0.00653277601858121 0.00504371139969601 0.26140646485348984 0.42255811153502121 0.002741828445507747 0.12280986753701192 0.47929266426288364;0.49869400715235818 0.997951150382691 0.0013749006312176373 0.0034499322405960892 0.011924386072965684 0.0050895254443187104 0.54318789000911827 0.74351153938280123 0.010569748280863194 0.00095449722954018808 0.49872734023397425 0.0017968175320523293 0.76414182306207767 0.0030365489918056203 0.0047060315144363029 0.0039549126726252026 0.99022291813587793 0.0018794303882727862 0.50024431031285976 0.0013475179862154278 0.49655512606707597 0.0020894936905358468 0.0026679861947670721 0.017850330969703766 0.00049354646826933475 0.0031635246340782626 0.0029248767311408322 0.50155244694328593 0.25992895041239461 0.0008985981463702264 0.0056967514792883494 0.99766091475676522 0.6345057015499993 0.0092185149487165278 0.011998155706532357 0.0027839826539697099 0.0033333175699004213 0.0032819354930667399 0.0014703094033863464 0.95313466106014444 0.0065675796577812995 0.00059965251470056537 0.0013948008189526477 0.49136379190009333 0.49282842226104834 0.010904735698461211 0.012345889080376897 0.0020043294229453723 0.00049360012415848077 0.0010560291298929454 0.0026526364040287201 0.0042920866248440251 0.0039480801224626265 0.7368040087232115 0.25190851157980193 0.00056517818249558207 0.99056607973360045 0.002969458966314262 0.00098992029394863804 0.0052178853936323075 0.0021664286421497524 0.25809571580347379 0.00074668222658972792 0.99406815960503359 0.0076134753179716219 0.00098513489929770242 0.4984106648167177 0.51489332928952147 0.2613537844776947 0.0052069342932723577 0.01212533873845012 0.0069443676779811165 0.018049817949295752 0.49844535740890572 0.97538472744010951 0.27514642572539988 0.00172984869098759 0.0012307193553296786 0.0047428767068124359 0.75897940719342771 0.0025224565749704018 0.98183618623157187 0.50239319613867883 0.015779193703601507 0.0030427594218087389 0.50988770495305247 0.74589958017831015 0.0021664747731467882 0.020958313353703462 0.0024011141819665401 0.0021322442514016661 0.01937984152992453 0.51367108744407142 0.25813298954940173 0.7252232164285134 0.51777901199778498 0.0030418467570639948 0.48959781338094127 0.034622337487135058 0.0088095917220380043 0.00048042266826285634 0.0012577109750924913 0.74876697035031525 0.0010416359360599608 0.25428831609863206 0.0018357724558984796 0.025522828755702255 0.0014571015319497903 0.50813926182537417 0.0014480482746488214 0.50555016882613513 0.010356027951951905 0.99449738792439124 0.0021413559082147401 0.021909752313523642 0.49967609353699083 0.0016702799121187447 0.0039266094713783081 0.99287658663435585 0.0015299228256085407 0.0031152285503425192 0.75404587230805276 0.0019068050792112933 0.24867304304425078 0.0007386852104155333 0.0047462919179119302 0.74301543837929263 0.0015329333589762925 0.49624260109256374 0.0041674460838418172 0.0021499734482471632 0.0042785539893310989 0.0053296493436718684 0.0015521351575470957 0.004704199569344922 0.49486311360420238 0.27889657009290142 0.02165721744841223 0.0021366680010186517 0.75855249009864689 0.003201167913634275 0.0046809896290099457 0.50911655025937375 0.0039422089751762427 0.75371310496325306 0.013808307676807477 0.0048995696040409504 0.77128113821628719 0.0030560936090704991 0.024873641873453589 0.49687319791016787 0.74012575577042616 0.0030146820708492061 0.50291628948092493 0.00091592095481519747 0.0053383794575343341 0.24651009904744223 0.010336548097929886 0.0013651195939919489 0.0034675594747615233 0.77186703306903792 0.001921312996559882 0.0030294487446917862 0.016218395629119937 0.0027730774659349292 0.0033977967100805679 0.00075189247994880692 0.0018253558621145725 0.0014740673327980802 0.49653594853992783 0.24226771405887332 0.00052142391588682257 0.0039915183199652014 0.0041735009214428137 0.0077547628530695162 0.98729943718645208 0.25873571068334994 0.00058216302168765332 0.002409108468664707 0.24822046667794165 0.0030543800290401147 0.0017195465537862534 0.0062713210260614497 0.0051382598689505505 0.25226208770981245 0.50111658370540135 0.0010296892831680362 0.0047053828200919945 0.0022448245061098089 0.002560077614607803 0.0046710856554444532 0.48281218741973803 0.0015380447022952683 0.0063682638461246017 0.0012054594827742133 0.51900950166822246 0.98509975780451109 0.0021763100117504234 0.0022711195524330804 0.0045554253440952507 0.0038975216497688266 0.0014796682817138993 0.0045066107937205193 0.99863935678278248 0.48983751769225081 0.0033782732461092478 0.0041106379354581835 0.0010863576355036263 0.006197164826903202 0.0014590358280736797 0.0023344142428721884 0.0012240531874173721 0.74473931643688174 0.0062998530514752227 0.01745844025243215 0.0010583217608910621 0.0051379213067487758 0.50661500364626855 0.030323886518895143 0.0012389972713434038 0.0024176683346765621 0.49911818693054349 0.99374861271387294 0.00085472767420892231 0.0093804902578834455 0.99573556131081098 0.2576035203392158 0.51364872467114986 0.9936495834768202 0.005681975591019725 0.49986445601171242 0.0035925877944595506 0.0010171638941452053 0.49299290840375021 0.74502687086284691 0.0076570451601456965 0.51129771435672866 0.0016222873051965068 0.0046262007696430702 0.0046947674681200608 0.0036342622173011685 0.0044945405689471836 0.010415962417351921 0.010319705000595265 0.0024546350959861914 0.0012486399478205106 0.0023323028955223963 0.0011047617446995157 0.018594680713800521 0.002543338563779223 0.013523564346010552 0.0037868325700290868 0.012648511984796778 0.0047002784565944693 0.0042651652651947945 0.0028424786305827864 0.98413087164881441 0.25230650964381673 0.0060154870634593271 0.0010796433314344462 0.020161392784092264 0.012654608179361551 0.002796871921834026 0.0012032731266079736 0.74713076973527381 0.0021898860689321406 0.0013136781040987214 0.98710571472159314 0.5049917678175555 0.7331381694206236 0.030449825467563252 0.0042601045290376087 0.74257377285957027 0.0048028849409923503 0.49531441157996497 0.0059875316642552905 0.98205739566241246 0.26715770462388988 0.0013646288355033101 0.24948670121913463 0.00065914773452611388 0.0053449214440271734 0.0046438791416521536 0.0013053251695943641 0.24685596689396092 0.99394902851541012 0.48827934159673392 0.0013782598687267513 0.05461869974231081 0.0030035198874981597 0.0034874778887518344 0.0054063627231621721 0.99520082866406856 0.80044825854005808 0.0036067121393366596 0.46582415572732866 0.0013998759112992787 0.50913304990211894 0.52229422717585683 0.0032460706225422987 0.0093064674957458789 0.98788342745567337 0.00091536595920728068 0.98620098772049991 0.0018526533411420902 0.9935902260194962 0.28518623515665353 0.47139408348742468 0.24844568127306754 0.0015835166914441676 0.0023268738421601972 0.25727093273568985 0.0033580148427319913 0.0016132293861048823 0.015029992528031874 0.0029520472951830856 0.51683325901483379 0.0016314446709921975 0.9938765032767487 0.0039397930764400188 0.73935597789838525 0.51038875123237726 0.00098360363409127557 0.021473466202633063 0.99460825849516865 0.0082116856375928221 0.24258058400838253 0.0018764477495023823 0.24968128066241427 0.26559383727924391 0.014878796401251016 0.00099120973488652777 0.24977824296272313 0.49387878474105207 0.26294151840291768 0.99677254445802066 0.0018291346627011362 0.0043474393875765132 0.26391844574644269 0.01563598380648093 0.0011105515389465016 0.25745570860178885 0.0048993793599802962 0.0039316230673330224 0.0017145437274249142 0.0015702391483955835 0.27043981767128128 0.002160227244777848 0.99759982864352548 0.00063512806034930476 0.00093990069213225529 0.98906699557568778 0.49645857723264281 0.740112179429952 0.74339582697262752 0.0027250299399466508 0.50818179177768807 0.98613117472908063 0.020314449017622218 0.0028022146337456331 0.005350045480815524 0.0026674611087623987 0.49063627494445894 0.0020847281764788186 0.49115131944834467 0.0016945168552102605 0.0016798301918195375 0.00831004802531503 0.0015630512904120934 0.010913521693693643 0.0016089721859551683 0.0011433381604392648 0.72821314428645034 0.0028692001495794284 0.24740957887223683 0.99054885445919472 0.0048214967589752479 0.011676754602324761 0.0060820979363010539 0.26286095907553492 0.4991573121904252 0.00092444786085449924 0.9806001060588958 0.0020149805899805579 0.0031842804037724212 0.26174080309505071 0.75067790405808488 0.75905154106334372 0.7452140338946549 0.0023185553348419158 0.0022597501709824535 0.0017992500462249003 0.0041879348450589446 0.002000475371384557 0.74677549471331162 0.50697007615805878 0.74106792882482797 0.25586814548863662 0.029324667423652397 0.26004971780130398;0.97815766775692747 0.0061093914108163927 0.58374310341260216 0.0033455592862579905 0.10516454371065467 0.0079144451890817077 0.50008282157956518 0.0024860218698267585 0.32097964811119162 0.31565909806494236 0.024612290587289282 0.68769913553363748 0.0025216075111794524 0.35960979228680967 0.21228099753740259 0.20087703479320002 0.10337676438642414 0.10390493500139501 0.01723025447909508 0.0060679535962276949 0.0035813376516556483 0.32725662164778996 0.0084722009664287903 0.50834595344695055 0.0071182670934102597 0.0012953312713626837 0.10216177280660514 0.19499892217764203 0.21080762176565207 0.10238792666496351 0.79835871785809243 0.61019640057685121 0.0040461916036584047 0.38620964551421544 0.56547437758740071 0.68487745718767767 0.57295695794632151 0.20310493404326338 0.39866713020679562 0.10523147997005734 0.094859049012653893 0.59220295235883358 0.0053744665945508335 0.0038520252716286426 0.10380167504002689 0.010566559526482791 0.0031605644862870404 0.57714648711468375 0.0043609875066403956 0.4038829079181 0.10272224616000598 0.10382603756870452 0.49734672167422089 0.2944693397784432 0.70187297156366835 0.10154905185478616 0.74192137943982339 0.097090642878993397 0.50073669628980921 0.010464651204819713 0.69293588839346743 0.0023622394731169088 0.10201137768325896 0.0043920115805482609 0.0025001089481486204 0.013954845656112035 0.10344973039846198 0.0053723957326429917 0.10588611389428317 0.9157490581834371 0.59712569025264384 0.10799282219421061 0.0040639603876312883 0.88798189083399115 0.97957570295317131 0.39828700928270899 0.0027000812337053489 0.49088924070353657 0.0044853345322505176 0.095992177141316429 0.0034853881359568372 0.30220521095964609 0.0086123719060268323 0.48989602296564022 0.30616028776697635 0.012330563466586585 0.49879853059471957 0.0016031999046499498 0.10382961843595061 0.10620781802939681 0.002620815311073148 0.0035704024358423196 0.89097679268761865 0.10090328571179781 0.10736716470366729 0.01411374052761189 0.40602462943741319 0.19124294854474144 0.20115103791186356 0.0027744595030325821 0.73054520943098256 0.60040485768286489 0.0050521460446988874 0.0049999853381733923 0.31305087895325739 0.19308048988109808 0.0044907401923596994 0.40873866844717294 0.01898906812864385 0.1022379124958471 0.48282510240128479 0.0052448097826987995 0.0084661727122160718 0.0012256543280386558 0.0036080237707393236 0.30259190763830701 0.10170773395794544 0.60254856073999485 0.30125985918173853 0.205115640686544 0.49489503435300797 0.78744056066501744 0.10658736504054295 0.0032971088095261089 0.0052407126118652276 0.21401507180482099 0.0025883178122461945 0.10045965956642568 0.11484013266626 0.099109766207544664 0.10139335839466859 0.10330116858833255 0.22182948140189071 0.56269431123347424 0.0087504027628025286 0.1060770267222078 0.20241302018902885 0.52501887045010598 0.0031135719115362656 0.57733699593655907 0.10236248593757113 0.18164751874314547 0.10269578177758168 0.098831283889323523 0.29777314632834179 0.99515251641583036 0.10103601838935819 0.10138529790168098 0.096138470567718626 0.0036994803430667527 0.10204696058717813 0.0070624289510198357 0.10348182651804817 0.0090994056675578819 0.30333854783652159 0.0023929890569905359 0.69802070754798273 0.78186917113991194 0.4589588580674292 0.57928532252709031 0.010298577169827407 0.39532660875796105 0.10449182622691125 0.65422744502713792 0.9764913070355864 0.19700319374729233 0.014547382927206257 0.0094274069940558265 0.0035077548782187161 0.0084173603990003922 0.10566790374454782 0.10537291643548444 0.10160218945023947 0.36420057912787929 0.10437551075648349 0.10520332517112438 0.49096059631694677 0.0017844855280987216 0.018230356857569515 0.0028341403460576896 0.0033646780780123885 0.19946425264858161 0.095284802511096112 0.0016060251566877256 0.80058404998231425 0.0053627614296854476 0.3024204382254288 0.32661696320172506 0.0035791649196832229 0.0019829602673905027 0.10677912530355996 0.30283252787477843 0.39684828963668717 0.90131681359359506 0.10085119911709504 0.0030412819309778355 0.29614934116495734 0.31513155842800333 0.013933241694491736 0.30572993412795801 0.61410188382893072 0.11395859863299318 0.0089112641986455483 0.1101477425093642 0.1005140267433462 0.19997488282234244 0.10506329366689145 0.10584474200593047 0.19811762128546728 0.59557642374061548 0.11569842226947039 0.0043677136761820527 0.20661168719156101 0.10004293209413215 0.59448382569404046 0.58507193286032955 0.50100833849880166 0.0020216191585303057 0.0047294009049398148 0.31910020895682562 0.10076815595556654 0.0032082861842144535 0.003309530659463363 0.098726595848641741 0.0028423569969652273 0.0064491311720486222 0.0032168368128596596 0.30720212352467313 0.2937299298034951 0.09403767062231487 0.0010876305092344246 0.21931693143088488 0.0064325875490911519 0.49431427357760549 0.10166445367153243 0.20525534325406722 0.29374053199411987 0.0038594848861855063 0.38748459325915857 0.0025579871160810079 0.0019756962226727243 0.19789147371402852 0.20292609686236338 0.50345413923952576 0.33280588549867846 0.49502486903357917 0.5836704871813142 0.50633932721425956 0.79982327902208128 0.59764415633979107 0.007484225243369249 0.99298008464741228 0.39640879902381282 0.10708642183018563 0.11064681736445132 0.10524912966996104 0.0068063801240277645 0.88041891111576909 0.098677378222521595 0.19179801686192041 0.18975745130435526 0.202889211980152 0.88314604999931001 0.19761417700759648 0.0037169488255679025 0.20583139389751498 0.0073322197861543795 0.99564499671576612 0.0033566037852977033 0.76994634042382859 0.33064655748511346 0.18681659424475516 0.0037327475049405306 0.39255826604210753 0.0015221337065205024 0.10219537733279413 0.39593890715804197 0.0014107780503803367 0.22518939287117759 0.0065070184098299242 0.30308619221046962 0.098091842280521896 0.39731762691764561 0.19989051594309035 0.002804677584420438 0.20321833856426 0.10159204865105501 0.40336443864040111 0.085857075291583207 0.0027228619350034003 0.18533284992143165 0.005474600074150726 0.0053827218004487958 0.20783311462224505 0.10499288320487708 0.1064484136742099 0.10385346076924551 0.0017138861427367124 0.69256789056796342 0.0016989581451203536 0.0021767241813235782 0.1070951337463476 0.10149607313227013 0.093331032565773256 0.19698251010680062 0.22995549620902997 0.0063736134897166841 0.59575070373226091 0.0025429772295975147 0.001671947752423935 0.20173719939056831 0.0027956734639824044 0.0016455788723896939 0.21148781254852236 0.0051917091611443653 0.79526094703300287 0.21149026697330237 0.0018474177403374941 0.0030797758955545709 0.50349486958329026 0.0016317818870602637 0.20870181016622213 0.099429076679325448 0.02607815281224455 0.10423903455132982 0.0032237481697337065 0.008205730622397267 0.11282792719887115 0.30882288077260733 0.11425009283912353 0.0017553876705793442 0.0028677931182909773 0.0047162401485363343 0.30774179386170619 0.51578366902591744 0.78604350824461688 0.31980100976209175 0.0024181865526910532 0.31200415716592533 0.30665447930542117 0.004972698077318081 0.00089938515918124061 0.30129496944679268 0.0027347832866784104 0.10912884204957193 0.60882057346737217 0.11133418724239984 0.0045911127370629893 0.002846534335979865 0.19065240352885396 0.1016428906526811 0.11072409588298295 0.0073885491083839402 0.49402978840175882 0.0015617810916396483 0.29525250502765771 0.29115106661575324 0.88408287530496688 0.0063764053292681604 0.10660678171468152 0.20292699263998962 0.0096466317379299213 0.11155593867591554 0.11226764279135749 0.10941128061177174 0.003783711439581824 0.28229597382232002 0.0064128818212579554 0.10429675353357068 0.024563790692623662 0.0050926717687986576 0.0041371177381579428 0.13009919795602326 0.19538014244809301 0.11974163732694609 0.20034759008003361 0.010225877330417367 0.007200334454641604 0.0031108980975291306 0.082744812308679208 0.0042732718235675513 0.10827301724376173 0.10446114875937068 0.002614477787701454 0.0037393404376880024 0.78903313615321014 0.0019054163552052234 0.29879669068768816 0.002307658398166719 0.98126912774394337 0.10427060158837928 0.18766906815455817 0.0088857070857345476 0.0044272800292988823 0.0030857642115870412 0.44354372673565662 0.67615385772964709 0.10655381722579038 0.39019147123216991 0.66250635558559512;0.0062259981024980465 0.99577445154515265 0.0027873528081686656 2.2065372753436075e-05 0.0065604681840109418 0.0047706926325934715 0.99937101884690571 0.00026806373199739529 0.99999955528507878 0.99999948928099236 0.0015149705722571558 0.99973865486928248 0.021697056079331672 0.018642135499503755 0.00018522543743408786 0.00065577483938347378 0.00015862646160877246 0.99999863295045255 0.0016573629568035655 0.99438871929542705 0.00044343063885556814 0.99823351992714349 0.005392925693415135 8.0166489336928363e-05 0.0010713986054703094 0.021463586111482923 0.9950805441605719 0.0028445954873474884 0.00017169320717922383 0.0001446416484977947 0.0015427381046027369 0.99994094901021702 0.0025600895269543124 0.002651224634865381 0.99266206237168397 0.003737684102826207 7.2269297774418549e-05 0.0017669363485069201 0.001089246598240479 5.9872085553314249e-05 0.0073847866255714366 0.99867461860553997 0.0080264788484730298 0.99411257660635233 0.00011860184550884356 0.00079082523517443211 0.00097586164579809443 0.99729241775600475 0.021375484255376782 0.0022048654189586324 0.0078819191697605054 0.0002320518238354301 0.99998960487959099 0.99998437046498201 0.00025878719605775127 0.0074516514062362366 0.00058382446378555687 0.012582487285118023 0.99999339983021907 0.006621734047180642 0.99971907902819623 0.00029828508559761891 0.0029566310544933295 0.00033462189299464097 0.0010302338232359145 0.99999989735830719 0.99875371446856909 0.9980444762759284 0.0020855275654380829 0.0012395180262345007 0.017623851970983498 0.99633217798699059 0.0013914977428680893 0.0011923821280063072 0.0011605177989802763 0.00042816162408581534 0.0019434816994828962 0.00020321291766281982 0.99999982894206685 0.00014318524773026135 0.0020860250164322722 0.025451543054058594 0.00032952952496262703 0.99999469445703382 0.0041696290432019292 1.0673670318644247e-05 4.4580388250308541e-05 0.99686537870453318 0.0015358363327903899 7.3189969072726714e-06 0.99999977557472675 0.99925150236115112 0.0033775496540473854 0.99999153316934619 0.0018370626085290527 0.0084739585450193493 0.99998807808105061 0.01847065983259636 0.0045663293564552291 0.0091188139663515733 0.99932223969160272 1.2062983728138188e-05 0.00096155814486781636 0.00038584489659958661 0.0053233086614266232 0.00036729330059247445 0.00022748787076702935 0.0023045320212295652 0.0063925737108359226 0.0021678076948965451 0.0039712252661582015 0.0020233977900397785 0.00012988174525454876 0.00042560436821429206 0.0051833894157244167 0.0019653085688003621 0.0044850222231922988 0.010460942920415054 0.00019458317553484769 0.0012903634856034135 0.015514482751037667 0.0013469502333991698 0.0012006053930129715 0.98974637914742603 0.99492191041488265 0.0030884872686230305 0.0012043213711004554 0.0010799491998750852 0.00049539495452851463 0.0011222801308815576 0.00040968657406004102 0.0019674909518568235 0.00060941348661168102 0.999935692834097 0.0012217096568985348 1.8232857975863205e-05 0.00021374567414225319 0.99930133268123822 0.010759549248040484 0.99641493644447054 0.99671248981676575 0.011125843622017831 8.0523913156208555e-05 0.010265893901042402 0.0026221927372033489 0.021763301679782732 0.010387668830922727 0.0027278376949071985 7.51875226637427e-05 4.6788914181689082e-05 0.00039257647999431128 0.0051587903283153618 0.007255248251830989 0.013616787743957933 0.024622217475770997 0.014019229382638358 0.99829567004954511 0.0018230573708737786 0.0023509087621956899 0.014939331288118106 0.0039903241216867232 0.99956154966121202 0.00033349699280962961 0.0072833834985161442 0.008339416219395903 0.0057274996654516769 0.0021202471396579779 0.99999997577439526 0.001234341346560587 3.9002837934474367e-05 4.2986297493765148e-05 0.00027455364182425176 0.99325559724119528 0.99999872068687901 0.0025163979207582293 0.019341000012890647 0.00050016879476675181 0.0022694568557449705 0.00048079897309621716 0.99795884008254998 0.00021192594713492161 0.0017656877653218492 0.99928035193120657 0.00026308726530178625 0.99763428574919422 0.004163318096808288 0.0018514785277379041 0.99479232146850516 0.00040119283500277041 4.5632147793786781e-06 0.0025862637406208065 0.99999997991453449 0.00101151095513557 5.9957900255404846e-05 0.0011912426061533952 0.00091340034819366236 0.99999173541100372 0.0019878137214315111 0.99999897451266562 6.855119343948546e-05 0.99565984862021462 0.0023253223019563426 6.768196952265311e-05 1.4279952197182434e-05 0.99999945211303953 0.99440355300687533 0.99819373871359496 0.0072770552913548805 0.01163459078178521 0.99414854870670055 0.99842060577831915 3.2166547675559096e-05 0.0028287852494672618 0.99863254774240251 0.99814759944347498 0.0062085318559548588 0.0094372165680455394 0.0090816131901936652 0.00066159992753367966 0.0072190944143173163 0.99702777377255114 0.00052291995972293974 3.4165051178758479e-05 0.99967579611943014 0.001622451090246871 0.0071996983563496937 0.99454997392887912 0.0040202050683913462 0.00020528604240542493 0.003022146576262397 0.99472475122101101 0.00015827099932850657 0.99996295934386026 0.00037626390032512147 0.9971781310655925 5.1856293193621684e-05 0.99993339452818863 0.00033501097308302096 2.0273319647831462e-05 0.00039701077888531892 0.0024287876423634324 0.0031533533640572221 0.0044374448708621537 0.00096612323187406893 0.99774533171134805 0.0026181261511826338 0.00072422952504854312 0.0097852709578284767 0.99589198757216302 0.99996607670253279 0.9931619875845642 0.00033034578607259786 0.00014177080299453818 0.99697858372575965 0.014967781382961239 0.0015818955527566842 1.0713511492800474e-05 0.99782287808056791 0.00080905061768273836 0.0021211868991104455 0.99517842655937427 0.00019802125335487039 0.99996364601986909 0.00010384613049760363 0.99543102375061432 0.0013289424627734372 0.99779130796384785 0.0016031050105890586 0.0048174774883662777 0.99612671870654323 0.0021355021033419501 0.013519852939982606 0.0010790788674471495 3.2869545808219713e-05 4.397660215427377e-05 0.0018656710668371172 0.0011783147611630267 0.00020496736796464965 8.121459491098816e-05 0.0073075523353001454 0.003630223452957482 0.004382552749194862 0.0037311972565878 0.99999999562315423 0.0049787604640157282 0.0027718508617110794 4.8957648220988177e-06 0.99999875878579025 0.00087037388169285005 8.0454954436873894e-05 0.011866135888352562 0.00017343188868372607 0.067428086160020426 3.4048384204997112e-05 0.010735828016044523 0.0084341009508833928 0.00098400091999885646 0.0081327286979724876 0.99999906876033162 7.1831915626144088e-05 0.00058693092635927157 0.0003178208838951839 0.99534950539423483 0.00055626438219156648 0.00052450003523361237 0.99656824473722583 0.99826175410012796 0.0027089958439500401 6.4358831391238858e-06 0.0048566308967771324 0.01274026623256224 0.0012649504574703595 0.0026910166079514436 0.005155232455863426 0.00087590184068621552 0.99998219341190897 0.0055551903143133277 0.037290967030023818 0.0025918342592727581 0.0064654962672298566 0.99492893276499139 4.1629194827814638e-05 0.99995939465609307 0.9947105398095849 0.99880276434074544 0.99873876159366815 0.00015150827295654364 0.012819854945229126 0.99688913480404684 0.99689574193000918 6.5965849664236981e-06 0.9980187973594612 0.0072062498978234246 0.00048832965362697873 0.0033287950687967854 0.00064252732821952821 8.0481915147599564e-05 0.0065975297238032582 0.0079379112516891961 0.0036711904502234609 0.00046591998782133273 0.0038378738085713131 0.99493314442218217 0.9973726162152412 9.8781648440917242e-05 0.0060568312409959787 0.00085175616785435353 0.99488699624144816 0.0019931636718643663 0.99613897323573708 0.99999953533671826 0.99691715757623145 0.9999657215923875 0.99266590914636044 0.9993649411320521 0.00083525381628062425 0.99861760492688534 0.0040166678077722525 0.00024815943383183777 0.99982836996263069 0.99771454294979511 0.0014156930561317147 0.00025033428656823139 0.011153583989156843 0.0029845808761634709 0.00029315281239537864 0.0010606527666787691 0.00061527355530365891 0.99831501413555179 8.4549182910241308e-05 0.00011806067933945179 0.010771910750056677 0.0075811955676904717 0.011492913524141045 0.0012719993410916389 3.9624441444494226e-05 0.0020517875292423316 0.99999903825891245 0.99882044403381698 0.99630688802579481 0.00547252977025819 0.0051793703139178969 0.99999946408900076 1.6526662938391483e-05 0.99897334729001563 0.0032919699471366825 0.9949302178455921 0.00044326957243747301 0.0014945827826219852 0.00027554420974117806 0.0037726167688009161 0.0072091033216088261 0.99730054673966195 0.0037974918851243311 0.00071749859890717462 0.98707300615850757 0.00084682970622069499 0.9987333646100951 0.0027185780500560476 0.0025326249398014487;0.45707054589612039 0.70993686977271087 0.0021165179653304333 0.0054566773789779194 0.14367610609782253 0.005106916323642176 0.69365300904817495 0.0046813264980103426 0.078461489826128772 0.83031499269704545 0.14639062431367544 0.54974544570408235 0.0057002836223943101 0.011713343242764591 0.43448228416581525 0.00027916325965981781 0.14370313210410396 0.6932398932261592 0.75360164905379978 0.0030773878105840023 0.0053348306689996183 0.0023781142358012836 0.40764815624522049 0.0025672927421871504 0.0038891811097166371 0.0033227972590334559 0.0058036256114227212 0.15915104420657422 0.30217287649214791 0.002988051605758252 0.011449255088523676 0.14836227776735705 0.39161786293803869 0.43116908610283161 0.56259052909964657 0.010412193669058344 0.84999119321342986 0.0099668276762757413 0.28206984060728496 0.14472254257253631 0.0026397368471421248 0.14541129511537143 0.0082803090394438159 0.0019260132091307768 0.0053017718300002944 0.43226334371825914 0.0028827292288226228 0.010127176975746114 0.0044482953082936524 0.0099167848072503999 0.0015182429375141908 0.14427915803292732 0.30711441455546473 0.010088665536997467 0.14330331000269636 0.0097875893186460394 0.0063924505894697569 0.84554845922437916 0.57218657439728882 0.0048586895488274004 0.56341043674458735 0.14354069386965995 0.14071218804644389 0.0033929055936628718 0.81391323643413882 0.99425312813736977 0.98957375035955608 0.001911275951382588 0.70338408156256216 0.0043737153615037013 0.13817698926399094 0.15204886058233219 0.0068931964573864316 0.0022787512666294918 0.0023733223302820111 0.0042796249365079321 0.0081276878982222793 0.010663484137237444 0.71480119607788639 0.0022250339614548159 0.97414212656244237 0.0040614818001546305 0.013181939996893219 0.83389670868298227 0.0034890429957568337 0.13546184679250048 0.00061489309152394905 0.033210388000477431 0.13946213407412056 0.0036734249751412011 0.0039553343594646538 0.13738919823892357 0.0016997798284064465 0.42415531606795132 0.011673523577051814 0.02300891915717608 0.85928943892800913 0.43195767119157685 0.023612002037125435 0.24209593267213025 0.83970589221637404 0.44135544179678826 0.019968694969522804 0.014556117911502034 0.71209505050954758 0.012841108647488872 0.0072153024738614716 0.1401479560450988 0.84631206229466505 0.1446689701864658 0.0015187983664967941 0.14761077391695335 0.13877001312788936 0.0021104129209082926 0.020866800276894665 0.15178779854461705 0.15757880420368325 0.14028101746746055 0.0018362317168923946 0.0017333119733778674 0.0046454784472019957 0.0035111634694219933 0.42425026396615939 0.003038728701068747 0.0048936212452529177 0.0012294597796027728 0.0024036759009253127 0.0018486355491818501 0.0018667932830217556 0.0041645865126143898 0.0027251362007149685 0.0061660809724649358 0.14542656109561827 0.7073615803611718 0.0080793277667553995 0.0066907438283841571 0.14395940316406988 0.32107395269074529 0.56213610996060148 0.42175360175318566 0.82571987051840046 0.00084125016996560722 0.0043953843208448719 0.1361070053735792 0.41126403764096742 0.0021059547013782568 0.15049899486133819 0.0025453295732385302 0.43576266485768878 0.14288847895216139 0.14380217942064988 0.01145347493311985 0.0085552510064748292 0.82543159416618272 0.0027005554332158355 0.97434898328193598 0.51238752725242165 0.0098781825814627088 0.55530029000372583 0.0024735156332969803 0.01387550403817703 0.28130166371841203 0.56770178551865458 0.28476936608465236 0.0027471520029059707 0.010583062484897432 0.28429286190414393 0.9879429198071481 0.000673965692619789 0.012009336312799646 0.0029710771215632256 0.0011944315892220168 0.13685751340885069 0.0051428560498286927 0.0050005530343007138 0.43327801436565871 0.0046927525872451116 0.0020206323780697687 0.0008718738761132463 0.0059028560757457826 0.011269296781530047 0.14386806659041962 0.31327949129535987 0.00069014375701699146 0.14437126436557182 0.94343584268984804 0.98044549966353389 0.84620187433398764 0.70973589671419546 0.0055698371051336563 0.0025887626013250437 0.0046359666963928948 0.55307314417504272 0.11232842704180426 0.0029261283855552983 0.0069789939978359677 0.9783501897938145 0.56130852594212688 0.86034593200502407 0.0023466549480298626 0.19214016340548196 0.011100323205721354 0.0033958420841413298 0.14813120267855057 0.014942574740315587 0.28584989398943877 0.1505601430778496 0.42657399740280771 0.41563859978231249 0.011050854895943603 0.0034233752064341386 0.0018267993769853551 0.0020656780573650988 0.84386117556943097 0.70392897324045922 0.00099140269722562332 0.0033166637570612475 0.59918457300780692 0.56661356909536431 0.15429959275755087 0.0049706761870703942 0.82028196154130084 0.0032819852187677178 0.0079440844892950842 0.37123594866533627 0.14430023238828002 0.020406652045334261 0.1543520139099564 0.0066979832083536809 0.0056449201863964594 0.85027218564573404 0.0036632149899425781 0.013055769785761562 0.004172626904134751 0.23060592133912139 0.0046158530206531689 0.3030175349087596 0.0015551572616612501 0.0042309447198855561 0.41891639527782965 0.0015184529238680159 0.14625879973163183 0.13547634216708704 0.0038084810718328204 0.67868415219667677 0.001400002882784788 0.14263173191225909 0.42830218579697882 0.0042332143614884042 0.68684678092246099 0.30190382007983646 0.0044529776738536243 0.30064291149811512 0.034724173252282955 0.0032842406136922827 0.0018429864276580316 0.13701703605605195 0.45115049014700831 0.0062718808552044859 0.57075073633938811 0.0044157594973809897 0.13761981657060013 0.40267936717917857 0.42915744229170005 0.012457493364312903 0.74171080549785062 0.57430917758652955 0.0051963683854083223 0.0010264927562484392 0.0079049858924084664 0.56517836899991569 0.43602652092852184 0.0013607413565682402 0.0023873093671055094 0.00267648129073993 0.001581255899531847 0.0025987907911029515 0.6714939355305638 0.0037045311496483211 0.0051856266165564774 0.031335931244972554 0.8568275683346479 0.0042691662393801013 0.82959613563570678 0.16379702807647517 0.14051970894604324 0.0052254765995371844 0.557152967465812 0.0039548123776524235 0.0017835701668435667 0.28374186663581147 0.00079494264400161818 0.14547847758409962 0.19393658353290558 0.4259441373706524 0.97929868268086839 0.0010590077510692691 0.00354873090933553 0.0056175830256175244 0.00072437437064406401 0.14711501522874162 0.0056552940769184403 0.0031470791807924198 0.42725960807135155 0.0079052711076398937 0.0053261636835895592 0.28695461110295273 0.004091657544377349 0.0013888703923890088 0.0013983482909067299 0.0029824612176399539 0.13963332442394685 0.0019915340431636798 0.0066708254198906206 0.0032106685202192191 0.18893054810561394 0.56821904974368331 0.0053918708579488179 0.0020791135458208968 0.0081521554314251312 0.42918528912637316 0.0029865529817584835 0.14333631497781069 0.41311294985394564 0.99740242119368894 0.0076892688253103842 0.42625911894043567 0.0042679685846787035 0.0019784125470127937 0.15629779317943443 0.0045619477367669359 0.15048082450820882 0.013278839827962092 0.0061031957484177753 0.0026427096489963888 0.005061831083315876 0.0042833449774645222 0.0087714751921172032 0.0062464885135794478 0.02498698980484701 0.005244901476323568 0.0027159502442543034 0.71488298292774599 0.0026894306234979517 0.0026730440039499622 0.0019759870839738845 0.0049401397199465725 0.14159626432248029 0.70647518147025812 0.0018600358082572562 0.0096313716141447347 0.16782178043808094 0.0062763979936690728 0.43150398992412264 0.0016559277298681613 0.0047765084182849263 0.0097262218118738322 0.20817253704180588 0.0066124039307295084 0.0066541361936151358 0.71050678500002129 0.0045844251460991359 0.0042643491174973206 0.57179203209801144 0.0052333399005574828 0.0017894693016380324 0.42165611871219311 0.30266745196226796 0.0066324150239823066 0.010246082300392248 0.0010032081934681755 0.00913704073087954 0.56175149012959913 0.14606491230629692 0.03284151094240359 0.14326921947917212 0.16812349974613022 0.99339827687494053 0.0033377595463617974 0.86033754332317369 0.0031344319304981477 0.56183116463362914 0.0040703008646957983 0.82276605430164851 0.0019119813236513658 0.0013542265632521223 0.0017104676513622166 0.38460770691548463 0.0042419053797553459 0.0030854285134275156 0.001340490871582663 0.0044981054117832963 0.73720193615730534 0.14613153030144421 0.0033797313214255676 0.72884628144445029 0.13338522198869937 0.0021627529490235763 0.56435210182984119 0.42330434481684992;0.0014927726331103422 0.0010767014269018852 0.0008924162094571434 0.0014822235837754058 0.0091424870908920312 0.985606973439343 0.0032670455472473305 0.0066404584247840952 0.31367863452281314 0.0058191277621397527 0.631590525234349 0.64224743063148271 0.65650120121744659 0.98203817855339937 0.0041342969317795849 0.32446825306334426 0.013922166506713485 0.0027654536069340162 0.95582871179807138 0.00091351661960406257 0.33407563794570322 0.32943004758711997 0.31036286792687401 0.32834416222014634 0.33383191845120525 0.0072249682220287643 0.0023920910292528387 0.0038018372653071892 0.33505109076386974 0.012200253484551653 0.65989663328204284 0.97634108970892441 0.0021026188001928496 0.001948546217377993 0.0002561218366079833 0.99596772722304439 0.0095643935295606133 0.00064741212771174449 0.0028013991538689029 0.33192154972901639 0.011745541230665619 0.33736718795920712 0.0028698666115575481 0.68453537903989492 0.33742530815753569 0.32359668145492765 0.0080585694423597476 0.32118278199266642 0.65185108119959823 0.98204860982847386 8.5957671399593816e-05 0.00029049480899481144 0.0019817945225652734 0.012623700950038959 0.0083976884791621357 0.36939174164693511 0.35141298445297364 0.67227045524022011 0.0065802661174324071 0.99983827269907 0.62424626113083737 0.9893799663595465 0.0083579139989027797 0.0044843099069519282 0.65538867249328003 0.98739187504614678 0.97806931324383983 0.32902943543048974 0.0077246812184546786 0.0017603674390286772 0.32436716547403799 0.0020971176375199699 0.0088439741293631618 0.029429136305536407 0.0020037418030001671 0.0015454078806684827 0.0011299327497762369 0.010239305362793185 0.016351330140571795 0.32572781698351755 0.99132083284122374 0.019371251725197994 0.0034146300338518754 0.00089871243019989705 0.98838748312347846 0.66640906686076362 0.00041118683073664312 0.0065368400755725174 0.00034895755023027443 0.33765607877630932 0.61628835206813537 0.33592759917889126 0.00027294424009629349 0.01303573021861004 0.33344145108062284 0.01523658043030908 0.003012096246563842 0.31796365714758806 0.3399461527142717 0.0057699952445852921 0.0050027644723596191 0.0024538722354604564 0.35270211878570579 0.9989937477363896 0.019834853675631776 0.02272155284191494 0.98929071410210367 0.67068697564184321 0.66018639259309886 0.0036610209412230844 0.35251385867822976 0.0056184544147760869 0.022246594154335289 0.33247232756487993 0.69366703923313522 0.99655760558494955 0.34282405772182878 0.66402730370278651 0.0054032132613657802 0.0078068480095108382 0.0048250094633985911 0.018399325886902334 0.0014918029962170051 0.00050569143678404422 0.33100568751217807 0.024254790604622985 0.0031734678604158606 0.0206089909910207 0.0036619662555198657 0.66387116644761779 0.33373942770127879 0.68774018088832056 0.3325394517719914 0.6169868546016567 0.009839877770229306 0.96950855747930453 0.0036218714080428652 0.64067971695774451 0.00045233704798400032 0.0056827846509010281 0.99776976642603932 0.021250385060976405 0.021082894281282981 0.33045449702596347 0.0041172367983291474 0.32299031508861614 0.34210454447362004 0.0065524447684766219 0.0058522561686914247 0.0057581499958427778 0.015366630224958319 0.98435452803324575 0.00033961875586301424 0.34729788472370571 0.0026278630557844624 0.012446169071959143 0.0033045697814013428 0.0039567809482749551 0.62333739549826295 0.35654301307476333 0.3314689996748838 0.99587957325698706 0.0056459670516497452 0.97817304456152443 0.001178141707770769 0.34050580352682019 0.34195438027907582 0.0066175694631206766 8.0372343413394668e-05 0.33521726506817873 0.3419215723101402 0.00040237186097012283 0.010526825310804653 0.0021773172247802498 0.65209930968134866 0.0045860354251836127 0.0052592975753008708 0.00033053420543062049 0.35418424367624418 0.01156718097646767 0.013563129228294049 0.00024031489298481187 0.99963848261482968 0.021009097688803411 0.64929927491442851 0.015940572402729978 0.012593713648348348 0.32603460323720218 0.33136149014474675 0.0015417539636030807 0.32706402389775802 0.29708168907408999 0.65637551342161071 0.017340743792167674 0.0047012368345185733 0.35608143449046659 0.0071528889970942922 0.0013563576416678838 0.32384480479724864 0.0020607344925930998 0.0069907015678687947 0.3518403331328806 0.0032673064489017341 0.022964547756799455 0.040862127021505462 0.0095079640641498805 0.0021316171819191756 0.001424429449282182 0.009141741304833504 0.95946818646940479 0.28913707886338674 0.0058865029584074134 0.010564661522872351 0.66787868865866562 0.0085316982788539372 0.0051074529138863392 0.31474247019856866 0.99609558571163792 0.66014304294079351 0.0064201784302344682 0.67148081811901594 0.60223398659338745 0.0021882143442212435 0.0038424937402187853 0.34738705657273711 0.0059637768570925311 0.99611318171617591 0.33056018496150197 0.038115748829947935 0.998656462812337 0.0015747089246021537 0.019709522535475896 0.999885313577761 0.00040287412487740015 0.3167747576320728 0.0046853245694288732 0.0029654899900253581 0.0032900591579396636 0.0010571846858483079 0.99064195271400879 0.0090784650591327516 0.32068189716366008 0.047514830643285155 0.0027493856107527201 0.33968126074102417 0.00020882651452965655 0.68712720919869918 0.038771804007280891 0.015957789834452736 0.32644175711757267 0.0079168208492062277 0.001945250359197325 0.0042839740618262944 0.033009830853374736 0.0078173871500588684 0.32940970812674253 0.006914086833527378 0.64255822158180187 0.3379765267153409 0.0017123043622399186 0.0020485384328251051 0.33559355160517251 0.014645409710322344 0.0087040322666781435 0.0061951785387756751 0.026795756053378354 0.66607999862570999 0.37428495969895537 0.0011491649148937166 0.00055721222898579253 0.31946259146984807 0.9863135979796257 0.0016008486372144815 0.015238085070178674 0.009884750882434741 0.019254032935261154 0.34334752450279937 0.0040227887680564763 0.00061082239051442593 0.3044971900062598 0.99869450439024909 0.0012083489825199583 0.65482969298913596 0.33125658851287709 0.034714678341994099 0.0040002547149132631 0.97424089085399379 0.014207252394524361 0.0017160178572488637 0.0015116423688477224 0.007465348768749251 0.00041671022919041267 0.0013745709121420714 0.0030430717533100355 0.99976758397565513 0.00014390948880782653 0.001716504657924986 0.0011270810762963601 0.63221393042695051 0.002129777957441399 0.34449746914953555 0.001221974749907729 0.0052808204406294135 0.012372210103702168 0.33386166944730156 0.00068690961111058518 0.99747105236322997 0.99919109909142523 0.33789120291028879 0.0014746855865752093 0.0066403907928340965 0.011649846909321877 0.012834964258709995 0.031429141346818137 0.33468550301972333 0.65512212316127383 0.33556004242199011 0.015191099410302934 0.0019331921319917539 0.014613642826049204 0.32534791834360927 0.0103486577133631 0.0052889655354859677 0.00039795386538162041 0.66244912230150033 0.0029743707816207838 0.0035215055279045771 0.003839764174876842 0.00054543429811785898 0.99968920231255387 0.97489291617443596 0.9982425787123772 0.99944054826726747 0.35813382145818529 0.3392922143259493 0.59030796413680986 0.00062231115728282756 0.0093304508948691151 0.0061951181081419705 0.27255124008751219 0.99263300990532199 0.30808240221501082 0.66185799321639172 0.00028925331108142381 0.33248326316667559 0.0022365573921937121 0.010109686344883887 0.66907129527084386 0.99531107061080404 0.00072124570917997323 0.0066378188148977346 0.33555519082576757 0.002456675628572819 0.0012653151570089802 0.33219319323506347 0.0013011270979512803 0.99842751042486444 0.33955167821320065 0.015241355027918055 0.00054921359472937296 0.98124289270458398 0.3361232852269756 0.33537048125777741 0.0038613208446673791 0.33116571386088234 0.0052659718212642939 0.0054419180629772905 0.66916900794990719 0.0020456449180698425 0.32735707246830897 0.0019071241892020725 0.0056137076849019207 0.33860184839843499 0.66799884953893152 0.035290176588215948 0.6601545713305037 0.0098076271914287489 0.0029682751707245741 0.31401449611353488 0.0055425156770161172 0.012017433084097069 0.29323353489127885 0.0089070006291434127 0.99534440371398836 0.0053296214076455134 0.0028191890590429265 0.020221366503688335 0.99641305900966604 0.0026997314676419932 0.003955514481320894 0.97111185195298211 0.012035276923537435 0.0017336845016433732 0.67104027651301679 0.3245429823033304 0.0098681102339632717 0.32777074709260462 0.0013265615740661969 0.001732645070682617 0.0019311405363328792;0.0043823011643153104 0.016614598644683336 0.0070210841347729484 0.014520479517503897 0.0050657959823132859 0.012095845675917599 0.41801795464656055 0.92606546531787437 0.21124522825324843 0.0081481719327169862 0.0069614648358272396 0.0087535892673913703 0.0083505552127227187 0.40368571891634236 0.0085522315918565399 0.0048198023122328643 0.0059243084165183741 0.0059461103164607986 0.65907748567058866 0.4018757805730393 0.44336547785504915 0.0095660233283867344 0.97831817265299281 0.0090510508792849918 0.011854759793544785 0.0041043264330791873 0.014015519332430313 0.0047851922723028077 0.019609707665688599 0.0066217669836657906 0.0081921717493557769 0.0099021092711719279 0.0018106703011228908 0.0069952596839567569 0.012051430951690079 0.21104117782011142 0.20235833865240543 0.016931821296828381 0.011554077108476881 0.011351778277445695 0.95413330352847492 0.0088087800261589105 0.0094440931322496563 0.20100743512339944 0.0075586642199446438 0.95519162687064096 0.96438632254981038 0.19352867712774835 0.39382718978424142 0.0099340987634945199 0.0061778065629071142 0.0059455588469158717 0.37835022956927833 0.0068816808925556607 0.015305529670974764 0.018788935567906579 0.59731685365175069 0.9557758218575928 0.020841830625483119 0.59060859630285156 0.016529806794285652 0.9784756639709149 0.0036482910608881319 0.012882374939485354 0.23669187133840036 0.96629698628747618 0.74000262479228063 0.018801919449722738 0.77839999026805051 0.0058155956372045771 0.23715701924206506 0.0064618150544787029 0.0075812590534336376 0.60355872321907245 0.011532078731074905 0.0054095049384370415 0.012831061691138734 0.20896979131370916 0.007848043203057195 0.19661652255417392 0.87367495073462842 0.39493812119044536 0.01142271627335633 0.21310050960944193 0.0072372798660488976 0.37332689149941944 0.0083852552307326911 0.46922947830920092 0.023422244534469172 0.38552523486257617 0.20125422031844831 0.00784816122894633 0.02339094617919785 0.013054026077040967 0.0062995142028135801 0.072885236672994208 0.011422793655665642 0.029838439169413478 0.013465976532229494 0.025253132115150078 0.010304217249941475 0.0076387069139974432 0.75918048922140124 0.35091520172542362 0.009642040733094456 0.150308443122985 0.0099384080132406682 0.92546486861131916 0.041822010418610278 0.38824344105756708 0.014932469963749129 0.01826910519345714 0.20469673218208995 0.009130975905635658 0.92270357934594294 0.033801847573148143 0.77475801388941179 0.0098653851794836614 0.012464442713799406 0.21932500564446397 0.015174160626767953 0.0062152604202954541 0.0069831438404205567 0.0090019883500403654 0.012971609417900525 0.013510120965968318 0.0066464784177462386 0.88163666925333262 0.010298682912734444 0.41427077630504983 0.010018904593114298 0.004907426676335821 0.0098829735232578656 0.39643012042430847 0.0090841595340068922 0.0092201219715401187 0.016532624543106705 0.014298380731149323 0.0072677871821381097 0.0048365352435278891 0.94864492977934201 0.03041029626994312 0.026999894952459292 0.012111783192392516 0.031383949530021459 0.0030045302539273779 0.93025275152437048 0.36761445748353772 0.0099280041912151035 0.57589163889948303 0.012128719951485694 0.37634905627334142 0.011126939011505506 0.049876479040105288 0.0036811618681779237 0.022367562242881563 0.013400157061630785 0.55256393417630312 0.010447263471279172 0.20608266505560874 0.0089735252854196163 0.011171710729822069 0.71464194939819548 0.021595653816255805 0.0076538293086033998 0.0079115792496894898 0.048274433952196091 0.02940093621094915 0.011452649223738783 0.0088849056496947392 0.0041717243701337621 0.0044557858659401749 0.0069942568581416609 0.0039233403022914471 0.031990805417475093 0.045617106619133985 0.0038383838810401348 0.0044861390738609817 0.0088288298186104969 0.041832282972290906 0.3989147247341005 0.0047986989193794021 0.0076603831170768272 0.22486156727305165 0.0057423265409513851 0.012517947621239792 0.018184606133550933 0.72871444410643771 0.94464969779672692 0.004630519329851591 0.01054116480791331 0.01960878398518294 0.0059023564584731346 0.0064815927116877413 0.015641511433372061 0.010049792481174685 0.0067709178584273028 0.018114005140816514 0.038139777759090866 0.0043642385771687905 0.0042239174369178662 0.010966116369705568 0.0069913763011611816 0.17163819936313904 0.21289804390203215 0.0079278277334686783 0.008622498679701331 0.010523848181554501 0.0064894905391979238 0.010023808010444609 0.58461591467912355 0.0090255538529092835 0.011976467470542877 0.16235547152440816 0.014507944664505727 0.5901750454190211 0.36015633226121285 0.012790311062344937 0.39247092529253913 0.031649648602166597 0.0035561851116023007 0.42117503124963673 0.012734202583369275 0.0049672135443771743 0.21069199345727849 0.22147564705762104 0.015833625111369029 0.004787650656638413 0.0059905796085822118 0.004618538156055561 0.020185191718168544 0.0090298053517389645 0.012395594863427051 0.0054462305228068194 0.012717386776487271 0.027204368395925858 0.007867057460513539 0.007868903855807895 0.0048987273316137133 0.97681222006141732 0.00874237201874393 0.012692786206102778 0.0058117589748944293 0.16949996453506894 0.0029813485754428271 0.005357253750311191 0.021801485265533379 0.011877470619760522 0.058358572694543136 0.5230913370904815 0.37924006658142778 0.0072286618067539665 0.0052714082474108713 0.257734874931905 0.0099065473058103648 0.018625143053858349 0.0077399933188542838 0.39218651910356295 0.026621278180148231 0.0095063560364696854 0.014516441888548054 0.0087314265197608164 0.018374170754769967 0.0053720505907811061 0.030342641773069539 0.0069779387453081298 0.57391706401167064 0.014656245923121548 0.55226426238639514 0.20562097697060064 0.36058738419037023 0.01466470656500132 0.0036778968204072005 0.0078182782636986182 0.98091012395437727 0.0044311108107195308 0.92652317386521965 0.408262672088335 0.0060026372283386387 0.56818391239635702 0.41017874968107232 0.0076429176903925642 0.033401021095045821 0.22382719650117924 0.3661406010405559 0.017075464408527471 0.95193531427040723 0.010761945301226003 0.0047545291050489552 0.0082331925276576783 0.0020228548338694819 0.023280623187226908 0.56765470931888284 0.33665279324225611 0.013517244039572385 0.0071769309806435557 0.005620694407351693 0.21295524475038938 0.014388993322167061 0.0035393667793125858 0.90821709203335277 0.0053948521224489654 0.38170552397974067 0.0073888352860611737 0.010799990594222398 0.0035060316637933941 0.0044095740851507687 0.0062877047850626536 0.57821342336223636 0.007132600400133143 0.0093562209506443776 0.85617140294963745 0.0087819258131868524 0.0046794289393094594 0.0098608101389348647 0.025817549975882433 0.0090505925522762765 0.0030779550418145564 0.58323513318110853 0.031272770761076332 0.38999732989430341 0.0079103124569884498 0.011369163510531695 0.0052576072465523533 0.53418479893929915 0.004205287613492782 0.0048916833474667489 0.22734441992124957 0.0063883811407057364 0.0073030153915694725 0.0065753561618815638 0.75275696013464732 0.013885579130475646 0.89269088047140488 0.0075702478674599715 0.36346708776189562 0.0058660248823275765 0.016612032714798042 0.0026159184842666993 0.0087396754578982615 0.024298174827665931 0.58418176131730215 0.003563417705649555 0.20158125985236466 0.21034086769990393 0.21514654160345453 0.20280967004626771 0.39408504884375473 0.02482377784848297 0.0046296237341038734 0.0063947862232912643 0.017161168400576274 0.21159506588167803 0.013142208688389018 0.23043504508192691 0.0075811348313042518 0.0069592907677939681 0.0063071521418129519 0.016225048481357501 0.20348923469191887 0.22086263276235657 0.018643514466647755 0.017253644959499655 0.39462983919520167 0.0087660916595478158 0.017722186494457583 0.0062020833133631841 0.95515857349000954 0.0075988183008299679 0.014699151188703588 0.040066984142554239 0.021665464182574593 0.3660875659534979 0.047245437648698395 0.0095323871182914736 0.94153635979852279 0.0050567484500800407 0.0075394178975913047 0.0052907014572377417 0.21368301983595256 0.19766095361642361 0.0080720758369216845 0.016828497037535705 0.76836088351783549 0.014399694606481418 0.009300285739673033 0.0097626942192854133 0.0087156288003902398 0.0053872306152489731 0.012814869279074062 0.017879671950217578 0.024980748021641137 0.016378939035450357 0.019104366648861247 0.75796588072297677 0.0030622609869364655 0.0097211473663588645 0.36253650231424794 0.0081299756617515991 0.0056111924969558056;0.24975655770972399 0.49578075539879868 0.0032791281978840239 0.011888632855665642 0.24845793278888459 0.0075565016809547754 0.0062095365107555046 0.2397629781027821 0.0079280759143494084 0.0067290690341196089 0.0061453648577976154 0.0047070420530560108 0.0049580479822703026 0.024179372675619384 0.0042414271056506782 0.0084596617476257064 0.7450134978419245 0.25941786906332481 0.27262148149505511 0.23935690884767483 0.010818740018170521 0.24235495554192565 0.26942087756976046 0.25536790011589905 0.54179988645651245 0.010356625678722428 0.45046518897296528 0.7123262880934853 0.0064477408274070253 0.017452746523094864 0.0041881557487798687 0.25291702786232562 0.0065498497950941415 0.0057627663587845341 0.0050008255150744124 0.49842622944379072 0.0059823312522894042 0.012134757105622913 0.0102657895418667 0.022648650512935287 0.01926896578059822 0.0040961084197721175 0.0082689974960015525 0.0076703776042714644 0.24440185624910585 0.48894683800206279 0.012386578196362743 0.72996542661494912 0.25427397432286986 0.0063033999609185525 0.0058043813787791564 0.0042223510246645257 0.0069055144821854007 0.0061949636724401213 0.72996482793398398 0.25718633919800626 0.015105937678177764 0.012639575012926903 0.0071720527492446385 0.2537461201215816 0.0033672714041173253 0.25459965492638681 0.0063484570240937375 0.28066080775811525 0.48985570219851005 0.2337632177615617 0.0052691172309139687 0.253543063722731 0.0069580811905151328 0.24528211071537209 0.28478883354461138 0.0042173447402228349 0.008191011534042043 0.0047793268475773559 0.007620669112217357 0.0035565928523881218 0.0051165812257655064 0.52943262262244273 0.033767760722056235 0.012274173240433396 0.26899965683968186 0.0046705457217759202 0.46938587589502184 0.25208325554603384 0.0056760972820006465 0.0079661431896621213 0.0081185111263678156 0.0041641532241860416 0.015019387564653547 0.0097765152514280602 0.002687287562490058 0.0051149830899385393 0.0023592400685634959 0.65464025601437292 0.25225808888534729 0.01319958876327001 0.87140183978080299 0.96888005717972914 0.0057801884547241432 0.0040871011437918318 0.25286577404371791 0.25627938183430854 0.0097554157751728043 0.0044925038961585347 0.011220441151874851 0.0077776293123612544 0.0041183172746634611 0.27854318964421698 0.0052847047506575902 0.0085241106301119293 0.0049439032361136229 0.24342213032749982 0.010543890231647972 0.49647708081047454 0.036020333966913412 0.25392761921034168 0.006231016012145367 0.25567185514438845 0.25010490191995677 0.96122663257017815 0.0044597981691192039 0.0081650104612783839 0.94853471012000901 0.74125283429448074 0.0034148928928620041 0.22016347677881276 0.59522532537190342 0.0058436475354674217 0.013123896264151369 0.010572883103223293 0.72739134389922699 0.0057761232352694048 0.0044089012856744457 0.020506787787244331 0.0061397776761838146 0.25394874388773908 0.0048484278226927982 0.008208769370303003 0.0082945455115892228 0.0066212929260915897 0.24874496184658981 0.50445196765470024 0.01178143324607072 0.52583762381592547 0.0041193193719903038 0.016376240365790079 0.9602822450702504 0.43031212627467752 0.0058062981577255059 0.0047791143234000412 0.018014350416310627 0.014237126050239782 0.73177310476336144 0.25450614182978731 0.26622864813614056 0.0058049863081953892 0.0036350546298881408 0.21202466121366575 0.25755828329273206 0.019439797967478134 0.44077552008920762 0.0075235481102934139 0.0087114151883021292 0.010867831871263257 0.28877620252011077 0.0046777733101947966 0.19720975984182051 0.0076359018691808528 0.023710741596667379 0.0046018291799228717 0.0047626371328408218 0.0049661271794908092 0.091655562554980544 0.0043890878550784298 0.010298801834169306 0.016463771479135296 0.003317816124891319 0.017491311896158702 0.68633395710923528 0.014170275303514359 0.26085754562622188 0.015920799931218452 0.005284827179177512 0.013514784291174812 0.0048796797967814113 0.010859755267444923 0.25174715778081919 0.46577984004041156 0.49118807399963182 0.26254315090370578 0.51053206007544616 0.0028297897270198828 0.0039345509014246981 0.25399582324506209 0.48820185562776958 0.004836296332545776 0.011891881557025587 0.018946463135776078 0.006460675414273526 0.2746368129550768 0.0069160772356143367 0.005872329651491294 0.026783838566349239 0.028853407729145557 0.2523292024903781 0.0051673667364271342 0.010949355792370767 0.0078699470966211299 0.0087668002010537031 0.0069977621417147461 0.26839065895682696 0.0069433867490275789 0.0064730993097571769 0.25079322097076001 0.2501236785460883 0.015471049246603899 0.43040942795062298 0.71091463563314272 0.24233671520222327 0.0058888719199298731 0.25390282187011076 0.011104459268311006 0.0049138957391321519 0.0023408995705674397 0.0046219543716092756 0.044647761544248404 0.25084950351633378 0.25444123650118106 0.89791961717201418 0.0085105695978171976 0.24445718602946942 0.95683630917090468 0.25643698099469492 0.0051052882087752639 0.4843609122064641 0.0064717350622882355 0.0061269614549097386 0.012260949214423146 0.0059268034489800055 0.2539345600943278 0.0036749757598453967 0.0082366864780575866 0.022455367221179214 0.0061463551232159696 0.0049538684346329505 0.010095648530772364 0.2553572573512653 0.0045291873191782902 0.23671075630237909 0.25653887398957842 0.0037053234805570498 0.0057833421562819547 0.0054783016303485872 0.25829773378503917 0.006828101572466167 0.0045197955993261469 0.061965550559832966 0.0087865501056201053 0.25980105135166498 0.0032709928582827386 0.0045335293994083169 0.0044175526508886606 0.0080795032488409826 0.49798510426235504 0.0021845450545358146 0.0037064607028873598 0.0072762119611899812 0.0041339584734055006 0.69654754882713144 0.0048161332632243314 0.0060300894310946485 0.0034244982455959899 0.0060483521538905799 0.006604144203849271 0.87613444288195574 0.010835373181057414 0.2570718020777632 0.0029606213463712846 0.96446205151878739 0.64689118339668861 0.0065287821314428986 0.25720278536965296 0.72103444269880501 0.0078438648137314909 0.045740676774115446 0.016977079698992925 0.49626388823962608 0.0058447457646068242 0.72582149800342788 0.7201532371150029 0.005731338854655944 0.74136262843944523 0.003285753703945675 0.2475627366672388 0.25173943097782031 0.011751683821372856 0.96908399268144341 0.006581407209918155 0.0072045153387901859 0.6601514622869703 0.023893547040018396 0.0071743058068128506 0.24064779773073963 0.007546623123246882 0.0087456459948087682 0.011499196351046015 0.61407411883222851 0.0077858071540940566 0.00557148288674771 0.94141077468949996 0.0062377016891641632 0.25030871759703194 0.019074835348444657 0.010088756181602787 0.0060752290193597722 0.017848332551427915 0.0043785300235989356 0.0045441165796230127 0.73389928257500514 0.76804176615353015 0.010514043328290779 0.25445071484365595 0.0048044818084015169 0.0047876970047317328 0.0062721404270848317 0.0097801279204697 0.0033555116275381857 0.022100280375724247 0.0070407683623998915 0.25142277184059919 0.010303961026209356 0.25413288433747649 0.0047372047857766469 0.0033791931439611121 0.25561367887837289 0.0060635775676057286 0.25196269627076157 0.0068228895544791878 0.23040891372942718 0.013168721799120826 0.9182939023145732 0.017829290842268582 0.0050523238774216215 0.024522658359090031 0.25989992842217452 0.25998550034004647 0.0065319548108527317 0.25451374813420125 0.25274639551075784 0.28024364788589928 0.01275817114269725 0.24844877149609632 0.0089875814483748474 0.25001663896194098 0.0018165060390769993 0.0053059684843646277 0.25689229916779793 0.0059354512208447873 0.46114640747015567 0.80027902678034046 0.0081073205594228391 0.0033753567340811409 0.25325705234010809 0.9860712536136903 0.015424443860653359 0.01171835202001557 0.0079658000150114872 0.0057963352847444855 0.017624411926307364 0.012226469033559128 0.74298500475424367 0.51431768078782891 0.0033491813967367464 0.22840650338836699 0.03623429960610932 0.011633621156739046 0.25305856464104765 0.48799453717707897 0.74799129104391904 0.71341857129513342 0.011255333321209621 0.0056478305596847 0.0090399983879700559 0.71981142719727265 0.32208331929276235 0.013031000251915418 0.0041636394212226022 0.0075375402898742181 0.0067249652797999665 0.012319990475638011 0.011708790980953104 0.97378273670609794 0.49865224743367531 0.0049871424371482516 0.23232930808997865 0.0093030742258188998 0.0033362508152745187 0.0024232756139193415 0.25534192278923123 0.0043339312950680595;0.0088693869689621119 0.52317540305846288 0.66148480444299518 0.0044360870174785186 0.80717818313372036 0.0040455704334601481 0.004335222503732211 0.0063480668295397063 0.48935169573461673 0.0073463347589631418 0.0027246562606251363 0.016023631389684337 0.011181832074468614 0.001519241381189381 0.0040703051226568332 0.0029752535339800401 0.015934356420738573 0.0050195554492427101 0.0068510813353117317 0.14639971346241423 0.0060038318357953716 0.0027436692330935759 0.01256292067882327 0.0039214474368565551 0.35553535228055339 0.0089963229623103574 0.35306199897191065 0.0041402596891424682 0.0046608771606625101 0.0031743959386021652 0.0040190151025134534 0.0095517652106703339 0.0032234413745912136 0.0040876510487856468 0.0068676127511656544 0.0040456603901386865 0.0039014577220442262 0.0098625341103337639 0.0052010945268451706 0.62514241058229114 0.0043337153694132467 0.01020184616153358 0.32368398526639752 0.87556325715562155 0.0056248338016928155 0.35331386558478156 0.0038799456829263831 0.24730297558418549 0.3379360826126967 0.0030913906274428532 0.15797992096105976 0.0051880134409076732 0.004464547081854015 0.02068097959295493 0.0035181166291229611 0.0047065989290357314 0.0036942784938904277 0.0036981737261736055 0.0095219686380748538 0.35768267816721344 0.0035946828406440761 0.0044607390710951064 0.0018093105468997386 0.96064337652308895 0.012355465936337427 0.002935529685201917 0.0064518633047903028 0.0081298379954466461 0.0056862238243730514 0.0038174609040119529 0.17132534280296063 0.79653342966085383 0.0028693460670487754 0.0057359828401173608 0.0062930024255783649 0.0030841890466985515 0.36828360717142522 0.0038349795074505599 0.23066816876509977 0.31087796764800368 0.019071284667503907 0.02168355968337763 0.19690301186436346 0.0031988044431461343 0.0051452769283058773 0.0042315167322317972 0.17857880430288958 0.0020897685510134194 0.012446257306838817 0.0061062180871840777 0.16539588441859066 0.0049932148627840969 0.0050542140700318835 0.0068028205413180444 0.0029973142547494443 0.0031261006837510902 0.0027118729504225876 0.63289968052969814 0.0035095248152874231 0.0091860900076825638 0.0039601308846768414 0.0029293234738025885 0.0036185667535500246 0.0050310670230066931 0.0082173913822489262 0.0031868000377943979 0.0040554331606746175 0.003663914144965111 0.0055932425455622273 0.0054439973159179228 0.0065621678407698173 0.17419066319031964 0.0033922700136761953 0.30664204225451486 0.14677801396735221 0.0036154729801027188 0.0042653598706939013 0.0031827677892366886 0.94145747794552359 0.69044826948124149 0.0056296316190258327 0.82092918574325791 0.00327912803006298 0.82605377710318262 0.92240736860701766 0.022734133612663771 0.029641778863081194 0.002560466179489363 0.032651754838494286 0.0036707626756261802 0.039534627266223088 0.0038449397316503305 0.0099506945951039951 0.0071101860675034621 0.0041805415206212495 0.0036436162619667314 0.0033819251577978013 0.0035712368211556233 0.0036772035613462433 0.49767269942848846 0.013780775627710865 0.34496101946817953 0.002976982034034752 0.80923976311304391 0.0091097580502815141 0.0044123900087403726 0.04126080067612424 0.96475554212081205 0.0041899503060346243 0.0054031611599567753 0.0059983010732952632 0.0049447689555490327 0.083162657939863716 0.52958027730656854 0.032700391296263315 0.012189917262548757 0.15049760567333459 0.1644891141980114 0.0058246416785063659 0.0052025788452335613 0.6440214417666178 0.0040980914095893346 0.0032469663434840997 0.0074688739931440306 0.17138767418595929 0.003342587733255388 0.01308305295573662 0.0026048482047975863 0.02943616626631796 0.003138061989463 0.0025670344388259172 0.0029093942466578973 0.0079316210939169834 0.65908794538261173 0.0037567959800141799 0.02890822879470541 0.0034228415290795335 0.0044468079622098974 0.0051096650721642618 0.80177267203330982 0.049791282328726219 0.0055348810222010433 0.0030775353397349201 0.030669514717671983 0.0045286804933894129 0.0048312987658135336 0.0091693826331247646 0.0082309062421822669 0.6428561678096878 0.0053739078192586174 0.0046750090877335912 0.17632644383650867 0.0034938335099261629 0.0032978371271268495 0.36496423154267449 0.0018857877407851885 0.0041535710189660336 0.92991458527058946 0.94192415602768753 0.0056878016036277616 0.0056354862323960368 0.0035692601730905275 0.0061032293912837241 0.63003038499054176 0.63005586855028972 0.61946308533600047 0.17517008100968237 0.002936552600804678 0.81089901741063097 0.0037431957883406757 0.17319528505072099 0.0033232779022064991 0.64932806756289763 0.0036005936298392359 0.0072988016932523606 0.72958530782804654 0.27306788950437649 0.16428780775858884 0.017561459820410241 0.0053487170826591723 0.0038275709401034792 0.047365910488115247 0.0054763428440278497 0.068665758079749353 0.0065371642911862139 0.0050504386991548538 0.0040493901100853505 0.0048886561433966417 0.02160939842278526 0.0044789423223481617 0.0063340726682377573 0.0040118404523975422 0.0044325542024661931 0.64818343940057566 0.17058253879668278 0.20660193823556108 0.0093708434328887025 0.0064912959705117042 0.0033502081542448495 0.52030919673525988 0.0035056304526056578 0.0034698288961156031 0.010422228752852442 0.6309849079144173 0.0043317809265017238 0.0043550290779155749 0.0027945421161609985 0.004536309250287778 0.0053824437546830927 0.0046609576156121588 0.0048216706452334623 0.0040492880502817725 0.53543837478783018 0.32276521725432383 0.0058091811850174199 0.0066433869363329871 0.16876223378146268 0.0035659403885244106 0.003238202068033034 0.0042659053044652624 0.0028778594225753532 0.0057748674273583548 0.0048371300163558978 0.64036369655843273 0.46127551492766866 0.0020014661259436855 0.004125596086176889 0.0043516743053812583 0.0098411215278624946 0.0039942338982828993 0.64106234795414119 0.0062518354149462899 0.78266641731182851 0.0082538195832051377 0.65110951472592593 0.32113506776044154 0.0060574916656638503 0.0054879662033620619 0.17035245898708073 0.011972570482610157 0.0046211053615272182 0.32980920436514993 0.0034624410870127977 0.93717150247377012 0.009176703861937828 0.004511810527688221 0.0024097620804100443 0.0069408840740037663 0.0037785646934720908 0.62694702748641751 0.0052091703732882631 0.66842297448498633 0.0026017294735280008 0.0060150757176249941 0.0050155604722622047 0.0040898955510322733 0.81803173038475963 0.82585693070035593 0.0057374422284732461 0.67366563310452787 0.11986932191336941 0.0250773828347629 0.010718224387450632 0.0039178905925423939 0.0030755418387046997 0.32008603373151645 0.0043234151532527141 0.0053656587384349041 0.013925630391919228 0.0094904502745488343 0.16427054706577038 0.008744151926624354 0.1582033360230167 0.003343015822126602 0.011114066108216226 0.0024646330885231883 0.0036506818834317299 0.0034943208317926621 0.15484058104408752 0.49421673461332194 0.28748622267336582 0.0031427838174520229 0.0043386919438337373 0.0028719685024959094 0.0028519711706136756 0.0037619953522590463 0.0017816366901900198 0.0054022827442557035 0.99063628106779245 0.0031028161469540336 0.0036689968008485358 0.0053012722410322654 0.97778982371397261 0.0040492130322910824 0.0040332226892096801 0.0022808524312881362 0.0039767332541095872 0.16934736617356497 0.0037139979239383903 0.0027473760752412505 0.51608286118255686 0.7195887555288043 0.0042557895738170167 0.0069535666482600789 0.0043094437227581923 0.0019854822897765016 0.0049958886204884891 0.010432192911591101 0.0026587458542405682 0.0072646021308387116 0.0091441454298434796 0.0034650116602967683 0.0026600096803588288 0.46467563247862892 0.5019228127611286 0.0044735682221042992 0.0051700837358316827 0.006043240140184078 0.16830642552229985 0.33027526964092729 0.0057808197094330379 0.0077046043895684906 0.0051695814509379826 0.18503907309450343 0.0081016360026654258 0.34516922182493837 0.0015285172683508412 0.0047260951734865832 0.056999595782450674 0.45212120225681507 0.030790519141050153 0.0045326378646666898 0.0048907798840337495 0.0087154876744249352 0.0081172921722826846 0.0042588548081781358 0.003419475894177502 0.0094410756828989424 0.49972053250978088 0.7984854002630315 0.0085267840100535126 0.0038897937515754606 0.0081120841985168855 0.0027961384765147401 0.35055691307821557 0.01349168965705397 0.99487762013821524 0.0046005819704600832 0.047716662041138815 0.0037680901425375841 0.0028613173699068573 0.1704002564085095 0.0061572269838242148 0.50024173217766832 0.96097807706289395 0.0030422571190354625 0.0034660902303830614 0.63458167509053087 0.0042768343130556667 0.0026742594577151058;0.0047692024208009299 0.98294989165585656 0.35911490595096796 0.0025291578130839992 0.31374635691802061 0.0039972501542395976 0.0029479674824760826 0.09661869926116895 0.69132408452815275 0.0043958629643597842 0.0021613155232089376 0.0055871437297589201 0.0037770650650436168 0.0013300496508691676 0.002540810955919588 0.0021215834688564604 0.52106512026445073 0.0026435565660242145 0.0041282568858588952 0.18778191876380967 0.09339576174689479 0.001717519632783816 0.56694755740028158 0.0030633954159277827 0.6215290059261519 0.0050706353199502108 0.27398866589066129 0.0047096318309880108 0.0030602902146261756 0.0023718141025541959 0.0053893352673332166 0.0038982231606911008 0.0019999308711851575 0.0021998022145423503 0.0043694477528806617 0.002714221619141938 0.0018404848334987811 0.16969597799628078 0.0031715016664191427 0.82229821010299176 0.09390789412634043 0.0044327373970772903 0.27740871147543145 0.020947023445074913 0.0036521720915674667 0.8743636765173427 0.091222307715160045 0.11850142389684665 0.0098060532218601937 0.0022301479766514303 0.0064129833489662662 0.0024372563098124856 0.0042002566434857416 0.3804412482535216 0.0065954516647739282 0.0045839535576234249 0.0029977381782405571 0.0033047057411751944 0.0047757612196568221 0.72796720188522213 0.0023104884035785255 0.003829029299578908 0.0015229722443411908 0.96161278209124168 0.2640541092454084 0.0036907040335777373 0.094075804975725208 0.25747120121934008 0.0027308470663251578 0.0059214795230809452 0.45531565156563791 0.99075826187149652 0.0025390693007480872 0.0037242534158885765 0.0035639837253234816 0.0051134383740370597 0.0075623248147823428 0.0079122162025435198 0.36374844500538422 0.67338611896124223 0.0046605411877663604 0.0053429172177542538 0.18566144345097751 0.0023616311278208076 0.092556109891827221 0.094431022116178917 0.26044287718142339 0.0014888728318415054 0.098313989486219805 0.0036901705342727346 0.0062692704892196799 0.0026283712278807299 0.092624214824433601 0.0053109291417713748 0.0023834116424692117 0.093069981386668305 0.095362989980783242 0.71214862879464313 0.0028746560641876519 0.0026306319644178082 0.0061365219042174707 0.0023236159501042689 0.0053944596843271912 0.0024982699194872121 0.26914125886170531 0.0021611170518909956 0.0027454545595223092 0.0032725745642534776 0.0037920845167014657 0.0035035332797828376 0.0028901688838776224 0.26590030404957432 0.0030918915017415591 0.3606021600386986 0.33566392371421694 0.0040621571728899492 0.0025339079617167073 0.0025541311660624406 0.29931138078021841 0.88339619924764978 0.0059130482698516694 0.65924962635427731 0.0080931468769217096 0.45321827170776363 0.34076827838408208 0.027353231329081545 0.19804765127744089 0.001708348704474776 0.87611431443763377 0.0030987878707801251 0.54943721188944383 0.002905386148446259 0.46702971532392235 0.16782529955475936 0.0024362570947045457 0.0023751412592801645 0.0027090358672287526 0.004073411682315421 0.0026383320019291116 0.008897748456949281 0.18581088543165014 0.51735942071980867 0.0027613727382797904 0.19637497920393215 0.093622022148696762 0.0035055976156433306 0.28445776579032761 0.45167777422482758 0.0026406039854594524 0.001865651078399744 0.0029291109495282156 0.094273530385847376 0.76898177550438929 0.9772383038133422 0.7166799872629841 0.0043704480633756509 0.09705813818884218 0.28125632743726608 0.0034888335171380531 0.0058093210938444384 0.96547534931146917 0.002787705237502706 0.0028846913387212039 0.0060948467758578269 0.27805604497746045 0.0025550492316709643 0.058887189996542542 0.0016693545647113977 0.18036345256806274 0.0022578406540536 0.0016688185629924661 0.0022974934835642826 0.0058677661245282705 0.72984331050885731 0.092995153213261919 0.014266151222597532 0.0018105271132815058 0.0018293853316540081 0.0055884143841622843 0.62743534320958583 0.1786309263468796 0.0032440128317023603 0.0026492672731699032 0.0075561450788978572 0.0025357037617226548 0.0033792292488622078 0.0026689016618681592 0.096795800270873866 0.33199381385811022 0.38339266738378508 0.0027124412199062437 0.0060348489221919198 0.0024842586962090713 0.0019775370951681751 0.53661694021665141 0.0019235425488456004 0.0026224906879260051 0.72821138896432624 0.79215483580655532 0.0036813842418078331 0.092803421156072485 0.0036480569385940863 0.17037074141868838 0.95607269832291619 0.47050024468640106 0.20945464487487092 0.18796055050593091 0.0031657417274962804 0.98380833515205102 0.09226461079345416 0.28225370885541162 0.0021715478757671947 0.29182967390253267 0.001866003398101955 0.0075771298574794088 0.63012772880252643 0.61084101264929291 0.096908226428704641 0.2672668929475821 0.0033778688638165751 0.0043155085654642154 0.95497494389057824 0.0037509650329376545 0.016701483341377013 0.094000597071486822 0.0067364575900337679 0.0020495174770406967 0.0029451397282230962 0.0038515744182052222 0.0037943715668882745 0.16166467408716012 0.006123383347016207 0.0055855794387945305 0.28872446299927357 0.36887572892889964 0.81592948113149066 0.095378564373351196 0.0032852246129786381 0.0034865862969742627 0.28810911219941049 0.0018435628729750594 0.0037439259483071081 0.0073656965511846046 0.23392006362179663 0.092679529518799028 0.0022009376413253548 0.0015829250942749594 0.0028465924099858242 0.094433487219270307 0.0025185213401642814 0.0025082710740130187 0.092763676747839002 0.0067268743379458682 0.097123700339333915 0.0039490650135709272 0.0030636996614928826 0.36215809220153561 0.0026174573490703214 0.0024453786480423969 0.0021240480318665714 0.0028414763467632287 0.0031913175873841213 0.0030703697427119378 0.88169420014442867 0.27951415766938403 0.0015375022082367651 0.0030857659968875958 0.092065574965614197 0.0062068432867984497 0.0047007717382009503 0.10687592832562315 0.0028418689636905943 0.10748639734761056 0.0041788861604009769 0.9801702024246105 0.29293637765186131 0.0040297853887405199 0.0021367449693929326 0.29267548560455281 0.36071402613991921 0.0037372083841772127 0.006267467906514456 0.21937162554488771 0.036089758255108066 0.007879979870004248 0.0054321194984839139 0.0053204147461890314 0.0031754494068593256 0.0064373463159747412 0.63844633651838389 0.0023764791714245984 0.52097135638226955 0.091560193246237445 0.0043186586387183616 0.0038482459565230931 0.0028489157274501167 0.62989683267565355 0.45165393113947827 0.0029872934863157232 0.86908774753960538 0.006747570187606384 0.49264243165932187 0.0041809855672568352 0.021046681117261455 0.0040987285090330061 0.78789875923107344 0.0057758584917725776 0.0037616464751221794 0.35127612086997312 0.011603013375439345 0.0099679695731344393 0.0047662296233484773 0.10386362380826433 0.0026631021306503461 0.0055159477870192104 0.0027537205031452801 0.0034891698242919328 0.0032845956862588357 0.18211421811806891 0.45913072173620972 0.1030838418907524 0.0025296846251365167 0.0021241930096738853 0.0017441204118778925 0.00185934547322152 0.0032596162837601338 0.0010892995811094194 0.0056105185395968083 0.98865406281779156 0.0027855774375521295 0.0024962446318797758 0.0037832981217760134 0.53072295250381019 0.092759728331550328 0.0027664393247327935 0.0020643398218207947 0.0019641943544589759 0.0094482238067258861 0.0030689733747881641 0.0026912457573680928 0.11463955916218299 0.96837962557118629 0.0019178931641745699 0.0024810163545048343 0.0033302050948192091 0.092516176428238173 0.0029941047183994398 0.11800337527471946 0.0027119805030858778 0.012943322617167748 0.0037469875268463871 0.0031647058186715918 0.0020429074974068801 0.69822459678132487 0.82382283214461383 0.0025812530553215593 0.0039141420877311373 0.003789163859456695 0.18798301298817741 0.58533768470743985 0.18456119339321744 0.0029610601771471357 0.095378907851798617 0.43769248252284637 0.44592293078755768 0.05631631105853737 0.0025729608072711154 0.0028680222973712817 0.18269691215243916 0.36580429091298766 0.1791317437289123 0.0032685555503998761 0.094171767762790029 0.0071023649808028676 0.18280569418230236 0.0019691778333243248 0.0030232468001145721 0.0052316596892160484 0.98465220754359162 0.63716114039371852 0.005689039960732346 0.002536598576585585 0.0061523960506874378 0.09514539597210539 0.93867677427466389 0.0031328502644767339 0.86748682440739633 0.0034642353022120227 0.90393445873451417 0.0034646765560718299 0.0028893725422658063 0.62911293939921364 0.0048466653206596638 0.96415973289642665 0.35426479878160033 0.0025726789282926759 0.092316974165404839 0.098408706491386666 0.0028498876626341951 0.0019824793452443744;0.12951402817260077 0.0050558270912746759 0.75243866518679081 0.99458428678458588 0.24964232707828643 0.25407899747203427 0.72919529709717223 0.13022121282988183 0.73925304141985493 0.12562951469604855 0.015042969127349572 0.26067455539845619 0.25155432686611018 0.012523804620506911 0.0094186751412868933 0.98343506187625263 0.25733904257910117 0.75029479395218712 0.13718754475326006 0.49075234587706218 0.13369889318307132 0.12254197776399685 0.12493446222887838 0.014222414099863058 0.0014355607200538137 0.37656460605980241 0.49507608817975163 0.23737754384973131 0.87010819511814286 0.24557001202296996 0.011163233775049736 0.0016113432116082204 0.010670519666768848 0.40152043586802966 0.1306126519394154 0.35239083746077177 0.12600178828364184 0.0034558216339666426 0.0069746251532205586 0.0022087672647597744 0.12693727399725133 0.25603770241694512 0.0082369511541111953 0.0057138375858450732 0.8834960699417107 0.13215898771657469 0.0049694548017838198 0.0023200344574512508 0.0043836253828589159 0.49476277910226008 0.37634983333098398 0.0017227144431987917 0.74502086847620141 0.0057793941225215695 0.001363084482077431 0.99795272239845201 0.12484867124777019 0.0032564606600220471 0.0081120173948848896 0.12704552240669403 0.73634870702226229 0.12557054969320033 0.0034011692104792086 0.0016366329080699277 0.49324381362246117 0.0035448468939046213 0.12651573740960359 0.52398541385372477 0.002034265382514608 0.14070602967416826 0.12479152373430989 0.40473502006518419 0.0059761598133685062 0.36990539871689671 0.0066301146434367148 0.0068227483291907788 0.0043801588854984448 0.0054240959604097728 0.12512827013142247 0.25247210321226043 0.10099116897411375 0.00048403902121501062 0.37832157114256704 0.25541888484211039 0.62865252321219389 0.86698734273047107 0.0055119624957579594 0.0030547575734218829 0.73316421871754756 0.5169057207412775 0.003416665058406195 0.13474485054829877 0.0046363016825935926 0.0075683849454197451 0.87685183914167775 0.0062344490948455884 0.12791057216533053 0.0027925751052105458 0.87368057756614692 0.0073175735046093352 0.12723528585500651 0.13537294632229332 0.73627259957596203 0.125853151127649 0.0029522130630610438 0.12593537935498109 0.12587314586841136 0.36536142606631222 0.26313513270932504 0.5023494748395203 0.0103271559249206 0.25683999319822337 0.62618170718488098 0.0091579645552812613 0.0014521576862757224 0.0031375232585331802 0.0083278388708165341 0.9875263229565554 0.13382744916653239 0.0061543894617548233 0.12788692992311812 0.0019256428649468741 0.72726740613493501 0.37456260890497417 0.87133036313676049 0.0050894125384093238 0.01644875609080881 0.0058397030993157491 0.49722315878990919 0.0018852559482214928 0.27275802322955622 0.75257870860621312 0.62623216608031251 0.0080344430620658477 0.98302464231526965 0.87038696340865851 0.126866185701733 0.62324002344114726 0.0038577249138307115 0.13724383835942627 0.0051195895111526236 0.0094123277701681999 0.0077479485999230307 0.0035981049007919068 0.0041829380524978279 0.43195907603817674 0.0032326241040790812 0.63249513937999646 0.25091933014228257 0.0051154417132240762 0.0025491185144151849 0.0037940513342639465 0.0045573007225930308 0.13033392413434475 0.12415451593265452 0.15718003760661209 0.0088270148500589254 0.15108227655379008 0.0066362585396790063 0.00036934002551370731 0.87356236290091749 0.85391664179370097 0.37330121712005931 0.0021699179198678446 0.26535296175423795 0.12689643292654951 0.12522329507200264 0.0042850887871692511 0.38047773378950617 0.50275665310577955 0.48521185759183594 0.37177233425514111 0.39571562095274077 0.25472425063326576 0.23959653124716765 0.12997560108688705 0.49818135164163535 0.12967700369447813 0.23985234770075409 0.0027982441630584275 0.12613412402805754 0.0028484948927684482 0.12843707663328011 0.26140675585677781 0.38575665700235989 0.14931396771641556 0.34139476794860935 0.12562532010265257 0.12628063296762643 0.0046867031171810162 0.99455619404731732 0.12381230820905778 0.0018939271590724042 0.010823834765851165 0.0032776794589784958 0.37977756104899418 0.12583816994911959 0.0058642654729607509 0.002724736751823424 0.85226297958091868 0.0035261365519502017 0.12296073110555861 0.0027819119462846706 0.12844226243800294 0.0010261426080978452 0.0047955718560214137 0.97295747589905135 0.25097663801016845 0.0078706509449658658 0.0076371209597700003 0.36988787908073645 0.38051572562848301 0.0013476178916876982 0.73770883454535607 0.12659936931567384 0.49874401854671674 0.003518233168717065 0.0023221354124856111 0.61809511582507271 0.013734622885612169 0.14475325279019524 0.0037494805576700641 0.98674402965184937 0.98796800459326528 0.00088019084834050048 0.24988460190992098 0.59613005757642201 0.99077585360401788 0.001398613744214762 0.12769276322368242 0.13208176156570944 0.010096585572310869 0.1281689282931969 0.0048089293742996763 0.86353123710015112 0.0026261263449595283 0.25939227059365277 0.012649483029017455 0.0040325036895308359 0.0064506435691215258 0.48762606280801785 0.1355930472646244 0.0022920562973092144 0.0012513474581789369 0.12747557002973181 0.0088183468007033382 0.0023335842858015271 0.25372640538512886 0.0037930492635815591 0.12928943782119234 0.0026280608653038457 0.61841975012615891 0.0082782092370833598 0.0020218287821246873 0.0043176947715219509 0.72372570648122103 0.010353876061696143 0.013524001400651907 0.755703672921053 0.10912812709828955 0.63136472412327838 0.99353462551944849 0.0051885416007332978 0.0023900230092244513 0.12638430887227387 0.0058956609005179576 0.37347263015627763 0.011466490386168265 0.00109450737369752 0.0044062738861697197 0.0013038956173582251 0.0031862235103995475 0.15611753619428043 0.97960964899515079 0.12535225615845894 0.37057086700838621 0.0023154346268857893 0.016013670119916775 0.38584950658828815 0.0051083557052951914 0.0027526962800653587 0.25360253145166461 0.12500047398705008 0.00091005440073637723 0.0041058667398871174 0.013315364130194711 0.24039163566909785 0.13047858785186112 0.72973966156361703 0.98641730071441569 0.0071873232835455306 0.13270510238624608 0.0036108296612385503 0.3926201697233539 0.0030833044351573509 0.51527339483231238 0.0089333276582976347 0.0014184779021285555 0.0060258469805390099 0.50562064648343896 0.0037710122178392321 0.010273110727283843 0.0020938759317922638 0.0045025550731445521 0.98760240134175092 0.0033806266230094711 0.0048875178245274802 0.86591100351095707 0.62515205960028486 0.0052355760415635794 0.003347176460040768 0.0050154735211946338 0.5027089222208786 0.0050247065492974967 0.87632254427674094 0.0074601304931017067 0.87485986709119801 0.00079199174886489677 0.12443704758527119 0.12668872495393937 0.2347933322027243 0.87116487472208926 0.0025465204856352122 0.12732491426312881 0.12670383944393301 0.12483409699598065 0.25606514433532224 0.0020701292734589096 0.00083586072947632864 0.12881057307425456 0.13029781957143324 0.26582434539471017 0.001863782346686538 0.0016973697051821412 0.99605019988577059 0.0071903132836461554 0.36841169239385624 0.50325562908724775 0.0021780097562963188 0.0048798013187803446 0.38274995372553222 0.26989241492383198 0.13270293744385037 0.12558034667040782 0.99575993378709871 0.0049281823620243945 0.017477793664922095 0.62200300494472249 0.26079405306235803 0.0053137835746041029 0.13110889281485891 0.98758975624539502 0.0090208900139980147 0.25433800270840135 0.0041370082335449596 0.25030300400540595 0.0041005615863993969 0.0038200624822760775 0.47699925903395823 0.00081489025699079537 0.12783415714186749 0.63028811061210399 0.97632121114890846 0.3466079390751885 0.75642047249335642 0.0091176997540174734 0.0044504799283419339 0.50466394015775484 0.0016209323521082775 0.50031831561991091 0.01389497117855284 0.0082612342144677362 0.97356849947851853 0.0029291564722154014 0.66973109527140307 0.12501228410109125 0.13329267261143496 0.36313365003384168 0.0080847343199251746 0.12444192942397481 0.38253663996801213 0.0035707516844718174 0.2497246229935364 0.0045824876544117744 0.56983530248678305 0.50539739454338017 0.0018598020027774658 0.12664738537799045 0.0011928163016225761 0.0020601531548863094 0.12612335753431686 0.023571424741331486 0.22364534202726641 0.0021591304816365934 0.0016607796700318308 0.74320203614135061 0.25978231552816805 0.0029266448937111341 0.14163206688071517 0.38271725578596422;0.33998876511972898 0.94400753570549212 0.0025838947366150587 0.0087114175300775018 0.16637991668587104 0.014120348768876925 0.81558470924905524 0.00855188688944045 0.013582038433234755 0.0035597919806103638 0.16747375464081865 0.02509994280507194 0.042809348475251863 0.0080319898709360106 0.0094613316922979585 0.012103127486274103 0.77338051326624047 0.018890024812117163 0.35809895737894887 0.0032848122674747644 0.012545411699952902 0.0046542684159902878 0.0044373911129311746 0.0075593342943225577 0.0046726364860687096 0.0061971721425378018 0.0045125716692459216 0.96471019232139099 0.032535032762132786 0.0035348147379445877 0.019446968350742493 0.81667302400568853 0.80591885372578842 0.77572436125526156 0.80313432320899436 0.0041109070565918948 0.011853057122801358 0.021353032096101073 0.0032814418823398956 0.17831153484049209 0.0066151460217607361 0.0058735464840071732 0.0042800825174781551 0.027164651910029411 0.029338109527763133 0.012814494551826542 0.0065737294949270372 0.0060194398112425728 0.0048479881550480101 0.0036280538251976281 0.0053385793951438746 0.013912769003043137 0.007773147131169127 0.010054956159831164 0.010323711374759261 0.0056085325363429582 0.059231955309772003 0.0035547985843474503 0.005014115487247766 0.003281264265964646 0.013450198466996573 0.18168314313671463 0.0060409978189191246 0.031304278483489434 0.016130373293740098 0.0067378795022309821 0.1715441042056586 0.035119692542317879 0.62800172449401248 0.03241425795894403 0.0042230585643415943 0.0078790482159321468 0.012327798211935642 0.49757617894405892 0.056915278669306506 0.31208456552267227 0.0074624211549235613 0.002879315677113102 0.0067375820795282969 0.16940028501382998 0.0069773813520901187 0.34222553286239121 0.64004218975618865 0.17048631507029621 0.0095824746429805704 0.79058493646872552 0.97048132517479901 0.0044974202327352454 0.021344598008965085 0.0066452566594357391 0.0025132457679128686 0.38343064233730906 0.010329704350003882 0.16449919402900043 0.47866905186662406 0.7936611684149415 0.16884481580956293 0.16574642927349645 0.81375496062964581 0.01094540576189928 0.0015676485134044993 0.0061938710714302819 0.81183650907439819 0.0057958307907988501 0.18272166799571285 0.0054469404428494836 0.0066477604017919495 0.0042935224642948648 0.47947541359901563 0.015087176640337617 0.48681321351278678 0.79705200845516611 0.52035857302303501 0.0032880835847075508 0.0076433284387980947 0.34863577399702461 0.0047556636375586867 0.0095868415835627958 0.80362330514206848 0.0047402484657492524 0.016479657504106265 0.35964719684523666 0.043762998396080367 0.003232908462006601 0.0044301198162272071 0.0057989141037311951 0.012092932319816254 0.0041595209677942275 0.020367509880621783 0.0028223810754701762 0.0060792468513238569 0.016381445054703007 0.027825717655090051 0.00232900656971114 0.012762110919354122 0.83206152329561289 0.63724436776013371 0.6568938195350722 0.0069460434836542927 0.65632020334125585 0.0074488784838607647 0.0032599187576563028 0.29918708645078618 0.33179182995888606 0.76165749649280423 0.21560112950314064 0.0033852043948668651 0.47492032873613171 0.0096486472937699977 0.03105985316554458 0.76888673611403979 0.35367959755155987 0.0078206993300733094 0.19648682428109526 0.0022173570535563326 0.011279544212142925 0.0055790662292696264 0.010987051626506093 0.0055866314865547113 0.0066263608817286705 0.042616447628609964 0.0077371620985409312 0.0060282316883628999 0.14953050076590418 0.177267644056426 0.0051141424079719326 0.003872039109191764 0.0043457163382850331 0.0038347857160905318 0.81640763594597932 0.18109743660291844 0.0023693918198118449 0.0079335108955813586 0.0027498122119749783 0.0075870584698787633 0.39770385609122832 0.20737575999302929 0.0025790379571832313 0.0044665868607634343 0.003369074175242797 0.0026664458768685243 0.0043501017648641359 0.016861852469770414 0.0029037948014511063 0.0052561155310803555 0.46244139135836371 0.0056687330711378426 0.016083417677068963 0.0073160900175578093 0.0028292463270671708 0.011426124982862162 0.0096107563126959662 0.0069945255799667809 0.18971897363333382 0.0051463282908017103 0.16091480215643997 0.20055989785833606 0.01020095884834548 0.0032082109989037518 0.059411010672052372 0.1325224311647524 0.0031214306712293799 0.0042994894744029667 0.97454740109707494 0.0079542044827320916 0.0028997283750700283 0.01136534660598337 0.0037903112390060209 0.0048808473772406413 0.0041143151125355775 0.0038973421696986534 0.0047799731873302215 0.0027016165344125038 0.012247757792313393 0.029594735014979407 0.0051887780337543186 0.0065888478776107064 0.0063152869855797808 0.64537884916265198 0.0042370155886821814 0.0061863731778748002 0.010940995763273896 0.34931375991605107 0.0062645263620941371 0.013014600674643573 0.86064483201352471 0.2919444414496753 0.81743603308352286 0.18530161514794641 0.0047923388734656073 0.47682035732510092 0.025218292758848432 0.0060262502067196964 0.3313984927767788 0.020697222906450992 0.35681082209702875 0.80930658683460321 0.018654404083896441 0.38792215353775 0.0037661415072730723 0.007972781770942898 0.022713563254024269 0.65376346315979739 0.012723430834129877 0.30756554997027319 0.0047712699300425489 0.014438229669120988 0.0098526656486606322 0.0042004615270612444 0.0040226633824790737 0.01632353083332793 0.0042564427162366482 0.025018602344446597 0.0030386123433086593 0.003426171640958119 0.0044248911773175645 0.25193029757706453 0.95852985473309249 0.0069940126101595669 0.0040272724636180703 0.16103499354738587 0.91953569128341406 0.0043807501231007892 0.0040815382384317526 0.0036107208679801062 0.011983618166051679 0.0062877310032077643 0.66069311679116716 0.0046319346537733661 0.95206785533220428 0.32142033378211121 0.0036222351567618992 0.0040821449162823844 0.013549451928904123 0.01563225384577693 0.0086119862735572067 0.20223562095266007 0.16281032630150219 0.0094340020859362515 0.0051265905732144519 0.0041010207225085091 0.025177942062580016 0.0086625908279320974 0.002663180604379142 0.021902804198689941 0.34685344717253974 0.020513305054148737 0.0069452301573554379 0.48700766411238261 0.0093723004551355283 0.026528389217541908 0.0070049843586425303 0.93021603883991566 0.98304060130960536 0.003303196834157065 0.35362872453544153 0.0052356490250524126 0.15499154044670976 0.64382753054008413 0.0070428359517167244 0.0063921964516438692 0.48656282930671674 0.0029322223698441531 0.47957891888192644 0.15546320771714067 0.78913961658511633 0.021164016906450863 0.035930275386861714 0.0063078933583899828 0.0068443668718642728 0.0052467740935205672 0.023483344776246015 0.0035572078490899678 0.0034481002978611324 0.77865660436368322 0.0055540192361458697 0.22965903585753442 0.0027264258577855329 0.18111168887840029 0.007178767731084475 0.01282632930406752 0.51916189097021026 0.0022795248632918779 0.31340146517516804 0.78828653344679889 0.0044232396792706317 0.17094020315780117 0.010280691062846518 0.011692423330484984 0.17750086945617358 0.018793765264314779 0.003813083743747535 0.0052175436354653885 0.013017193886977045 0.80529853629406678 0.68568443985020866 0.0076706981334813823 0.003714042303113757 0.64737183071494386 0.66997077021767404 0.0025449992766366407 0.0079268247292137977 0.16366250231681717 0.0032163771168331004 0.0092267847388764809 0.004869729068402804 0.016743561948752247 0.0033371427856569553 0.80555122072208396 0.0034715181639017258 0.0037292551097919896 0.18684887572918094 0.0071076442963359503 0.017612520836773074 0.007833252221071195 0.0039501198607606938 0.18894576458888174 0.83062699920766825 0.75494425816958843 0.0031388652930543822 0.008984263307351234 0.015647496795816881 0.019093785521309154 0.0033729595121629718 0.14188896696204065 0.0035837911942735541 0.0030377558906249298 0.02645777113194098 0.0037057426317772986 0.19237315470711566 0.0083670437810034141 0.0067951856050686189 0.83184065951656216 0.0042394639062154765 0.31139645675676542 0.17354522532090275 0.0030030193150100233 0.32877287172940911 0.0029487241510892368 0.17211281553789715 0.48086034759043689 0.0079203451005608431 0.18407730348613729 0.012389802011431472 0.0073868447076125398 0.66020788502209449 0.013918851691043611 0.52275883751517305 0.0047965480574507051 0.014848356088295357 0.010915149229376536 0.0065234126596982987 0.013840201281016692 0.0015114502106984759 0.015978294349842641 0.50698849086068831 0.97315149211480967 0.0026502962162084295 0.30534038802037355 0.33784229579854186;0.3652543961593826 0.49192150605424867 0.0063378235491461342 0.014156838280547219 0.080088936921552029 0.01147567832516945 0.38887175070051383 0.014482932513096255 0.0081026220938062929 0.0057911865084930639 0.65477788104491574 0.019468881586700248 0.46180930534381448 0.0063034989134885429 0.0065937952508269351 0.010183526570562011 0.01339599937267202 0.0085305687299435939 0.21837941316077442 0.010974312224407628 0.013449906568775819 0.017229014271042568 0.009415673393548046 0.007092477290429158 0.0055130983838228027 0.0083286120428271871 0.0083147504780102729 0.092584452362257402 0.023641721612701387 0.0087034471254969752 0.011369147437130269 0.925287011451152 0.017499270543172012 0.019999841332186203 0.016859930826666415 0.010196128108687747 0.096977631479467724 0.016739386164695103 0.008451231576154114 0.011349005735521552 0.0057122881056238554 0.0062853558188467849 0.0071494980127663451 0.43195297202262595 0.6542270835391053 0.083630167279394083 0.016262173670970659 0.017774441111141733 0.0079683240315980858 0.003487241789655913 0.0072167286537752852 0.0099433401819120255 0.014275231044235011 0.0063825930304993398 0.035853531675746675 0.013382137692613576 0.86444177885519735 0.0088581605587183948 0.0077348015761700998 0.31644358368288744 0.0075279282623698157 0.87273123968426003 0.007897466922160137 0.01025561731478427 0.023955612411700359 0.0068959079838256075 0.034869607042517868 0.084174335397698405 0.25314109627111681 0.094554560918705913 0.071564091832455309 0.08883019821654288 0.011276403801387606 0.48894107665261383 0.19620632206065153 0.014759203737062652 0.0069136842454421239 0.004695294762950112 0.0059863988044442564 0.24628619410967684 0.0088176899098892786 0.084254991179394959 0.071020673461306402 0.30999144367387582 0.11590940494621597 0.18268478184440351 0.49840410717408723 0.24340113398855842 0.011129145071447849 0.012632870768499222 0.0043200716512559172 0.40228883096015883 0.1776823989922228 0.17763251098400004 0.1183839454249615 0.11053187585129766 0.24253275007640204 0.0094487569843668615 0.4541688329859932 0.013010721083307043 0.008329707643776647 0.0062002751401234761 0.094000177689973832 0.0074240984672682454 0.20952393821031376 0.0069644861309980334 0.42581477845966259 0.0088225482613623341 0.014627561447331374 0.014382300876132528 0.096892223045607434 0.42234601658223858 0.18671399128256128 0.0055016765992512429 0.016286016069082157 0.24892276481947687 0.010774694969577529 0.023148013865908125 0.2092633257318357 0.010594859252323481 0.015302690444965942 0.57328024031102642 0.47215854309668653 0.017128651852792515 0.0087324553287442732 0.093502289479030457 0.004850936797361545 0.0080124471775534535 0.0074575114512640539 0.0057075671768040499 0.0084211456049852629 0.062586893489745957 0.066806639431892759 0.010934144476603899 0.24547004828193603 0.45989209783368024 0.01221313337483872 0.20198326335867314 0.010913038690813949 0.65928693916583869 0.0086750758350101365 0.0042265898744420884 0.31739531973316493 0.0091257081373502889 0.078004741502371827 0.48687679988731669 0.0065884491866832944 0.48325613709236587 0.01564906857249455 0.030935658408135943 0.35912742375829826 0.081752261569637275 0.011784488466995691 0.66318990139766687 0.006534627232687577 0.019981810045299916 0.021003145006370617 0.25326018638043168 0.0083491276952805844 0.25834023967056596 0.087703881543702095 0.009367972455326912 0.0078158408567833952 0.012154542536259357 0.016948547583581858 0.0088955949428750382 0.0086078119051498578 0.07197220694163689 0.004635606478349397 0.092028149494318201 0.31576948938207122 0.0059294935141636536 0.0044694034800087752 0.0047710368410957462 0.012110628045035383 0.015061234492932975 0.1805361691392372 0.005337586333427638 0.0071627974178072986 0.015099960782093644 0.0096988207413207603 0.0061185672855644671 0.079102695941235396 0.010897360112748375 0.085086254398977393 0.51006675758377062 0.0089478617577111643 0.0097848671695498438 0.0097514882042019583 0.0048785518665142406 0.012006357284408489 0.015522351991693148 0.006950810406777184 0.014308337172750997 0.0076855520030438169 0.0073151994718126528 0.59602515957837299 0.013529269871012235 0.0067340191129331064 0.47788912943946671 0.014853833840591866 0.0094769095888968674 0.0074259274551391422 0.4821643307574458 0.0025076264381845826 0.015889352733129407 0.0092165746878908501 0.006275909214891187 0.0057883367351056489 0.083094918291351863 0.0080203177616983076 0.011773078833311575 0.0030085217072996972 0.093968492805189222 0.48541449023753735 0.0044582056859985269 0.094975486893092501 0.012296832140850651 0.08551257201695002 0.010976510708665852 0.014369879338321878 0.067086203784609291 0.22051231491041082 0.0062338808579680697 0.016340803370131406 0.028229519284442044 0.23575499684836676 0.92733658258374618 0.86375675556335174 0.26027541636480961 0.021081918668723519 0.3989778557905031 0.023534830259656452 0.17857426675081262 0.012027624959812458 0.217816928650828 0.5821153492340716 0.016046322427299285 0.089791536481525561 0.0086210496671555968 0.0067491297019727338 0.11953239565275353 0.0094648063042482595 0.016263653723121527 0.015614506426338066 0.0073814712315439486 0.010622111674118551 0.020351108880905119 0.0835526155006827 0.011055248064067274 0.020594413348953334 0.31095673772152871 0.32583364564722495 0.14262001081029141 0.060492920571587998 0.0077661503252948634 0.014783877217988121 0.092817377603433698 0.022187901417314429 0.0037939820569136374 0.50277088589171581 0.36695317833127966 0.0085893885205119078 0.0052344552014566142 0.007065312068735112 0.010653132123973053 0.0050123628950071147 0.27594671092387457 0.011659266138955819 0.017754445941545835 0.010136204100846816 0.00842192940421033 0.0088185094329948695 0.0089528211262021803 0.0089868711765029932 0.011299972486430186 0.62734032222037572 0.22500603683306625 0.015697816762732821 0.018048118739114799 0.0044743985417977769 0.025157299444972112 0.011349144710097441 0.0062948505359858948 0.31745409710357841 0.22690243893866549 0.50996811624091154 0.0075774389965128234 0.094297481042215817 0.0083799942882265173 0.0067154273723674263 0.0092480798608756635 0.010029079016864556 0.079384867645928434 0.53678263008751537 0.7869274361962515 0.011194173614324805 0.32874762822265002 0.013893861754451429 0.008955523451816964 0.013215674397746999 0.023792833705482904 0.006902630889181062 0.50878521019131373 0.3223633980211173 0.63033091851478174 0.81890012954616975 0.55660796804149559 0.092221961159969792 0.011887632667074271 0.011072889624564455 0.0098741386549362313 0.0062823250713442249 0.0044235044959783539 0.039471650364651958 0.01485155377168686 0.11622806811306714 0.052182531840248132 0.61560361439164246 0.0127664468581498 0.0082226945446620715 0.095752314844465364 0.0059236974755841705 0.050664977177947011 0.93103382340555207 0.014383582166792627 0.59849833282274134 0.013900173412411846 0.0095888748251384201 0.01256749023351636 0.20594992591121666 0.0060919406781430978 0.014844082123949982 0.0034902022676168037 0.14491423577406171 0.10043637642482468 0.0086184129623100361 0.14569797121342234 0.60984841562918046 0.24511000844266392 0.0095774667363535404 0.0057197225566014177 0.26122928555298019 0.005786859621740352 0.011047911426304558 0.020259207316256692 0.018013455479581837 0.0083784098103485936 0.11581265445065651 0.0076489746880033602 0.01092033972182827 0.019138282460179398 0.010314075064034645 0.013381399175419311 0.010186396460027775 0.0074561979455401734 0.87537971743924958 0.74393122913846987 0.34914864983468041 0.0062789513400649845 0.0076981826506420494 0.39152659224363046 0.010510155837638093 0.010627101976614987 0.47242543107971446 0.0090259818614906537 0.0091013458128349628 0.080417181450037734 0.0077618454087685571 0.23119793136324962 0.015060515895926063 0.0064779483608580178 0.48463609561221982 0.012219928714611215 0.49745560125338517 0.15607954644701011 0.016506384452737596 0.16699857160803111 0.010244110733428079 0.47575391306548848 0.11786185129549856 0.012550362602158058 0.34443316148232855 0.015057585144012613 0.0090002069106600927 0.66304229648584856 0.0078049326890415188 0.19391161496321707 0.0095578648660448288 0.02102667467411002 0.015437450401294158 0.0067511577173995007 0.078558524728934556 0.0073142955355901471 0.048627719262910693 0.84049092284072979 0.42203570093721293 0.0086832211653365236 0.2879785257168071 0.26235973669848489;0.11448684883903881 0.66093412438334365 0.86434901178503631 0.00470158116406863 0.0032447328097862547 0.10906196555202491 0.85916888880731068 0.0036005644501846852 0.97042440181633405 0.21806121425786001 0.5472170986220054 0.33628720020415298 0.013030444459851851 0.76870219727575606 0.0038040688824088945 0.0033673938009270909 0.0026828232851676885 0.0047002291248729091 0.86221770239376283 0.005387535744256257 0.0050326388847473707 0.22754451545412005 0.024574078606169451 0.0049200544669341382 0.00127752917007533 0.0024373395663019356 0.0030089481184072163 0.0035871430457652381 0.10340594506544767 0.0040176081598767531 0.97322246419110714 0.22635697462701018 0.018903996401695957 0.0019471258571988619 0.019054843756334823 0.41771160871386348 0.19939441163343599 0.0052240949136984124 0.12403204494498997 0.0044733735435585299 0.011715855188401915 0.75413682167829255 0.0019614249097297722 0.012702191548874329 0.0073894347789343296 0.018937030326881935 0.0026210398054815733 0.85848995612239309 0.0037888340850028941 0.0048791280548998988 0.0009829295530715031 0.003860273668052396 0.015930867359542498 0.0031407171842245526 0.64802594012014869 0.011321084982233795 0.029114316292226303 0.20128894068683933 0.030943271491953996 0.21405837352715304 0.0085602677946798149 0.10370493852185993 0.0081814732367018229 0.0018321528093064425 0.0042695044768147183 0.23571744686969209 0.93626993534418546 0.0062852378310849898 0.003635488583532253 0.01552945814221497 0.76524734367178482 0.0068135814423188517 0.00364817434352596 0.0094178277145083675 0.75357316811362485 0.0010022040275178201 0.0034680908757928411 0.0040053478769768742 0.19782298901512521 0.0057359755626720452 0.010376958464897786 0.75702235938327445 0.0023033861132779497 0.3130831607018979 0.21777713194118978 0.10648634989893871 0.0087728475555088684 0.22340926401298561 0.0025655460308706616 0.0088933961053336372 0.0038463068225626949 0.0033021440417542701 0.77260776740544435 0.64102501029093328 0.0021400051396895286 0.11992092116862162 0.14645978170663798 0.018309657912955298 0.024359705267006881 0.0093463865016388502 0.21304911417135999 0.009307591074522472 0.0056218905053952535 0.22842202185100391 0.015435551015214512 0.0023959622374319979 0.012418879107057149 0.85052591856224358 0.75197643621189858 0.11242642537921552 0.0031466870163722477 0.2157355612135779 0.015139975931453303 0.0024303828345322129 0.0053359331106928518 0.12166141106888018 0.10249193478201593 0.010605651995598939 0.0049022648622885938 0.010165485209736343 0.0054839201520727274 0.067890320830063342 0.003650139281638945 0.0025934218938177839 0.0064728070053652036 0.76854695133791684 0.0017614289186054042 0.015227733676795596 0.54663565931031277 0.0019031785114706214 0.0028101818870037748 0.0066233753888940376 0.01979070820283604 0.7866795342983588 0.11733459855417008 0.0057481024654319956 0.0032377691804072986 0.96646486312740876 0.0076959342894885509 0.010275098952742239 0.10771899051821146 0.0041166910356388673 0.0026971630921016764 0.002466890173273774 0.75891919304512856 0.238265259491443 0.0069984308059272632 0.0096722999364135115 0.0024528486020512557 0.0022378836924112472 0.10078388382896815 0.0060387673989596219 0.0064826200969981063 0.41184152759975512 0.0036031347403610811 0.11592050828266105 0.97890245428378986 0.73580651006643649 0.0048130036413362937 0.75393530187069191 0.0022940191300507649 0.0036753399185766133 0.0017298889421285971 0.0070038426143608969 0.65646434520167118 0.0073295811201922658 0.0066752407372214582 0.46592380331181149 0.0014874477597674577 0.011439886633335323 0.62572309555250416 0.0026557957175323541 0.0081931071297935611 0.13552399567221088 0.0032518064195706576 0.012013077388031514 0.32154665399829108 0.0016709979873219356 0.0018581781354965069 0.003601022071760523 0.0073078304351881056 0.0012374494316960754 0.76428509436756276 0.0020648769546682171 0.31404269619996261 0.0063403666704217989 0.0029303906467563882 0.010247661676838403 0.0022251783183773227 0.0022265709401919779 0.0027283234565974356 0.014805779534087205 0.0018730387189926172 0.0046104647872301039 0.0086752419171078655 0.0020545077655883181 0.11256279344808913 0.0050700121762325256 0.75674690002824629 0.0028947901812523867 0.44517427011762845 0.010852732052688149 0.0017637319341357548 0.0052038811093855619 0.0085685876202998765 0.4341728742286593 0.0019601183811871303 0.0056421733949137028 0.0046031801381365587 0.0053781124951024599 0.11945479090615083 0.42702748845473654 0.0037164166143992335 0.0044660411304779735 0.0061340856838047342 0.012129302714433403 0.20700868788389812 0.0092905783171105417 0.003593644198083014 0.098605839253347566 0.010031499144712113 0.007736212912934584 0.0059707963881184128 0.0023907633907333937 0.82905026230320944 0.0033593224712338693 0.22153256515470882 0.0064300659914043202 0.95395255851821037 0.86820764632333081 0.011281260268053567 0.013965986647198093 0.0034035233178832821 0.85454233049904904 0.0082714953914816702 0.0039391543869165685 0.14720961570639335 0.0026672934666906248 0.65125156637980675 0.010551931455385341 0.075021911460037116 0.0065468915833145356 0.0023278440051027393 0.23042690998416082 0.22185506949715195 0.76288311488247706 0.014159180220310439 0.26069288917081668 0.34345220660328729 0.0033056856950323429 0.32355441873417579 0.54848791364763949 0.0034189922155280343 0.094886562970337637 0.0029291249739091191 0.4199196509284725 0.0057565031909505918 0.35259141129188343 0.0079438856162990269 0.0051648899229566631 0.53406448275746277 0.0047175940210466803 0.86069494481239495 0.0075777332938316531 0.0035280667024416715 0.010959580964754249 0.00478250257023978 0.66627899095776077 0.0016143874498999729 0.011257541843940348 0.77910520697264019 0.0047863565320712441 0.0051904242132733173 0.0054740777138832849 0.0041181075176671845 0.003750253067893851 0.74885118027196562 0.0037011600683339268 0.75607096898743409 0.012493438191875291 0.10579372626362371 0.74992468514571253 0.0069906215341449191 0.12920262774148661 0.11508942013038624 0.74975752290292763 0.11135729625099394 0.0019914751579085039 0.0022879954478527286 0.0012687878107255945 0.0030706287955122244 0.003349927713985297 0.0029282971058499437 0.0050647525533913489 0.1187950898798709 0.11506321963072243 0.0086728171121999605 0.0056490855044305857 0.22644005219220845 0.0026391872687515014 0.0034209579950417704 0.0011421930531101709 0.0098875674048929385 0.013076715703689871 0.0061334761030468208 0.012785125575197658 0.96671171335618322 0.21895874569996923 0.0044525801000347698 0.0023939921129698025 0.0024522462646252704 0.0032487312750822846 0.0016189529183095251 0.011696900364411563 0.0073451559475036033 0.99597714875251753 0.21742056428181938 0.0047876450360546446 0.11272937987991352 0.031704928597157192 0.0037852315766904216 0.0034684324390213514 0.0023843844310071412 0.75755564783479001 0.97607927663631155 0.0076426505002333877 0.0023739281318248123 0.11419995202116991 0.0037249504412425736 0.83929603093123573 0.0020318836931977279 0.0059788258128231249 0.0041750784819838248 0.0034970354187435597 0.23736320728736326 0.11601782438352547 0.0036832154113726821 0.017838659922472876 0.8619781610386027 0.11315222171091657 0.0093558502783303368 0.0023102761205606912 0.0024599827751098096 0.0022172375700894825 0.43204642353435257 0.22899458667880651 0.0037208950874230489 0.016858139716073799 0.014536445881374906 0.0047888564511454571 0.0049550966805816951 0.0063467746164149871 0.0031398784436964099 0.004824440512535064 0.0026625332137281115 0.001553817239587555 0.25523027991219227 0.32964280853982153 0.0022416023752842109 0.007559708269513246 0.0038656424511293967 0.0080844769259226356 0.004576536968174217 0.096920667860361701 0.010205145853232522 0.00091215368951596165 0.0063479958306709525 0.0028123071998626052 0.0024136878175614971 0.65676800689077808 0.0028748406366246298 0.0030288506958420875 0.76223643943857311 0.92379466294180601 0.55838707463631931 0.0035005277600610235 0.20141332237260925 0.87903069859787208 0.0019964010669323642 0.86430537213780867 0.0015398563663083118 0.10586134692080693 0.012301380867482205 0.42408133980707485 0.0053060361456911424 0.026907244166949777 0.0024520039323303743 0.035018577737342987 0.005359944916030623 0.12654451925304697 0.0016058759402371643 0.011718466952636238 0.022460338815272388 0.094654887438487975 0.002938078726781891 0.99067820746189339 0.17709224638497578 0.0027184223995571689 0.0057467904704786186 0.012875134966719744;0.52422997777775837 0.13138814785316638 0.0058915328512013001 0.0031202855246626319 0.25096774611554418 0.0038541464152850938 0.78556168834972162 0.0052168984441377936 0.65538019128287561 0.25499416038464173 0.0033471107207987956 0.76736065956258859 0.0034037072131918433 0.72311772998150092 0.36921204004075148 0.0067847968407422857 0.0056477347736217636 0.74460318914462587 0.021308824749538366 0.0035380702839294151 0.0068492704855283807 0.80492855768809124 0.83972578623281291 0.14875021061451968 0.0096535669200370454 0.0022737135231460149 0.0063896435358123992 0.37467321905464052 0.0099686191844715888 0.0016471680274792021 0.5608946209167267 0.4935607470238047 0.47372250260092152 0.25573676313634697 0.13179447547293208 0.039776358195106692 0.14471469515106078 0.004447615019000685 0.77273268453713428 0.12865600672604896 0.0065802681620279659 0.1374433464162762 0.12781819224901864 0.0054246395932341703 0.0062116688204157337 0.0023327256051095409 0.0037063913605725066 0.624181033291767 0.0050735738363609888 0.13983180773703913 0.0021906489963880518 0.13018210269495706 0.48382945579824099 0.0049332695059230297 0.42603095352442405 0.0038448468726351168 0.24931315492258413 0.23094239206946945 0.74300547066710354 0.0094615323839201144 0.94609187268733808 0.0082906147296923759 0.25453563930749523 0.34646946407249368 0.13996630798359236 0.4824315392946486 0.14276118437038354 0.004470095192095928 0.0086284515620246808 0.50083400581714121 0.01584536325896508 0.021325761555082673 0.25091325229287442 0.0064710064098103936 0.62773514112994977 0.23951632540295892 0.0035246241311289966 0.35947383164381791 0.36087861976944385 0.0024689413749924109 0.01357153761241937 0.11606908575836083 0.13448353857751277 0.26555689177080072 0.013514296014131356 0.13518678573404047 0.13810220867760098 0.01770795088567707 0.13007447389313778 0.0044243500418562707 0.11840175344327529 0.0081385827223719679 0.007362630348535416 0.0069640625369015684 0.0061373014480059929 0.46137848103932333 0.63041681916353554 0.58267152908761333 0.61210408319660781 0.12413017076826423 0.64774152647585692 0.38732197255411527 0.23957002367268576 0.13115165507210327 0.0096898016421644584 0.1313931636164469 0.23244820408985933 0.13456674862145523 0.022646211500796987 0.13163453994387725 0.0067107102695333444 0.25659825287686694 0.0027230993828679037 0.12340357957121172 0.0035609686910643736 0.017939274857584914 0.0051257097840978509 0.020336645008524262 0.0062068413660947988 0.12840088102947719 0.34399850398062798 0.61194770635305362 0.37302804825495395 0.004697813290156734 0.0047613266169819419 0.0079920618614508967 0.0082671948529832572 0.0027271669481955035 0.00320346972097592 0.0063912466268183964 0.12688466502031048 0.13583457569957008 0.12352178302918952 0.84423423599990177 0.0066699603239881722 0.12333266565680827 0.0096468831041979751 0.98848101115657439 0.2532918018884463 0.0087487049911772214 0.024993289011503574 0.012727018195015202 0.0039354228047754191 0.0063024283498755111 0.12914287352402226 0.4973730220346273 0.0030379265228170291 0.0086668591193026726 0.004927575033017541 0.13032067466390768 0.13048172101126931 0.13321976856459272 0.24228991461171315 0.0056798703034788862 0.14774335534270469 0.22544289092360809 0.61377588833906149 0.1142279027093665 0.37490829387043306 0.25649685059806532 0.23344360915329704 0.12233320848821141 0.14378980258390883 0.004749911778745103 0.14542554381047557 0.01338572260935598 0.48557379653599136 0.36077490836615533 0.0026440107791361918 0.26265144432231813 0.12429166645640395 0.24286285048858908 0.004787081912849829 0.010767424512527901 0.3818922421246066 0.014430337422616188 0.42733092583920851 0.0025435393603459055 0.0027942041276997447 0.0038631472128945192 0.12897409008423807 0.0027519814605728408 0.0086214461659718123 0.0023416736930704056 0.57709410919162341 0.37524927636035216 0.40333018153268552 0.47339030227682966 0.13140977310782434 0.010592822685055342 0.0029887918115061728 0.60643276384367772 0.43989224719335279 0.50605899375001706 0.0036173530278798762 0.12647620335122073 0.15184014265718013 0.36252047414452204 0.85959090275672356 0.0046497595023214794 0.85348229239630202 0.0024308121466283502 0.13036237493180891 0.34744896349120591 0.013079511025906357 0.0052844974444115692 0.018101086179654492 0.25059140397631413 0.0063480826572141266 0.38229572589275357 0.016038278152728798 0.0046169461450952685 0.0035475071295205055 0.25271646213052645 0.61067983421975924 0.13322521048539676 0.70328811498309474 0.0040946784893324643 0.13541027105228759 0.14092173492810769 0.0083769099271149318 0.015987534143676842 0.24167319603062831 0.0069298448295939102 0.010506606357031649 0.12955421416315843 0.012072277837404876 0.12216474420569189 0.0071506904402470562 0.12438220345294308 0.0060747586526088866 0.12240376674196837 0.12765648119386969 0.13508493402152169 0.34245299611251789 0.0059837108852530563 0.010334185319198387 0.25172788029648946 0.25378515703804433 0.0033058846707497394 0.0056088405706932456 0.13879602348561632 0.12135668854210908 0.014035760433551436 0.97400758937049969 0.1330829817513651 0.012775998036853697 0.36624368066413349 0.013232583812492892 0.50186980429580463 0.84742163838750861 0.49677396728853662 0.13745620303597655 0.2571649708762877 0.0048166474448059033 0.007425753726852299 0.25096686877726471 0.74473873661049417 0.34143046357954104 0.0077682102064136052 0.0096037924107088609 0.11760341968343305 0.43245374342841741 0.24686309258322994 0.0039874236545118374 0.014758269933079562 0.12882864087399998 0.35705272776464264 0.0024226145957065197 0.26018774366517822 0.38608265258601471 0.12395203835688526 0.0033515247488325435 0.24731878668432464 0.0037623263404659244 0.35109402099511644 0.70073444312859057 0.0091041543638634495 0.13035922337677291 0.0042432851588722021 0.16479065733462425 0.83674814861884961 0.45279786028859476 0.60899739488752791 0.0035408374753801153 0.46612853053012054 0.2569477732552306 0.0059679936615702912 0.13071849592931184 0.0030745447515222657 0.25449206701386834 0.0014160547480452166 0.12918396850949199 0.48251466784369107 0.13920743372080049 0.11234925955325759 0.12842007539361569 0.0053466255497370205 0.010589165982831305 0.0015373575399079981 0.12683859837610773 0.004903573927153783 0.0064107392057766834 0.0026725614935297131 0.0084575639730567614 0.37494636189306318 0.23976726477804267 0.0085319481048551932 0.0029511590869779696 0.12964093492158771 0.12206051214794361 0.13903301104249383 0.0012984784123459096 0.0031323773130920202 0.12080467378401935 0.74599208031417263 0.009021650304479616 0.12891991304990102 0.0046886379908553802 0.021265431373889428 0.0055542444452467855 0.12417493367715762 0.003490673953398798 0.94430141015494806 0.94589702296111822 0.0039334933962285315 0.23489346081675391 0.014008064610781201 0.010596541382139489 0.13469592215990878 0.0085474723689931802 0.12255382485013538 0.014507402610009629 0.23925445741466991 0.51537079603692193 0.28649669556670621 0.48956356917262112 0.0075455109773944649 0.23261440365385813 0.84642455087767055 0.0052445146521981545 0.0018925466765878653 0.13283513618537285 0.12738130237428283 0.0042900723100956816 0.13287820519442878 0.0052419306282038896 0.0072164121239735729 0.37323190002970574 0.25457684446889295 0.12920407262791356 0.49108333200740933 0.0048954373541552892 0.51932846230544072 0.0051412469525780108 0.019743681349272683 0.71476430954403614 0.98742590260595431 0.23086353373196558 0.49756636250778175 0.12852510019141283 0.010496955891016017 0.007229681248421084 0.11886252949180204 0.0077686200082013974 0.0018964260380279455 0.0090347586252882989 0.12731445042402403 0.24018795480971539 0.7344457774216695 0.001771839764262532 0.0080156544607834761 0.72393028695698125 0.0028060039796277097 0.0065993257024660164 0.0059931301492875122 0.14950983873764645 0.25732213541682381 0.0066519462832898193 0.64500138032052556 0.0039086854584570877 0.61008974887200484 0.26542874074037298 0.13047436844600935 0.0048383660505070449 0.012014183064055132 0.1275090024388609 0.95762236325875583 0.0024730001506732616 0.3902406072492397 0.12634364385730443 0.4433128146036302 0.37956146230980647 0.0039074148462668297 0.0034072163091625383 0.87520383972656057 0.0095538783712800814 0.011293922850891612 0.13612987009279653 0.017834446968085275;0.004860707240810079 0.01334926324190806 0.050515544659837305 0.005748575084735608 0.018149569045003616 0.010859674339994352 0.005733363977683148 0.16000074520895011 0.19236297693408752 0.32796502955176787 0.0081768097213461184 0.32692343482337521 0.0046038121756832202 0.33838669780531228 0.0045422484647416822 0.0075160500272942639 0.15995529668517217 0.0082273206795706495 0.92409747834032152 0.010827784356775188 0.91678119573610717 0.013349230394112815 0.4286158678439283 0.0085615901950943443 0.33944577500094908 0.32410555680573983 0.010571864936777418 0.46779875117578867 0.019660477954041387 0.0043066851100232147 0.018512443136753029 0.016606146464578666 0.0037958532640114816 0.0064674511097442032 0.0079769126315249322 0.81082218338710543 0.0063528957447784523 0.64707612117364399 0.0078218010870155195 0.0065495724011465353 0.017483436038426253 0.17749981661664235 0.35335891762451493 0.0040291983019255188 0.17337058439558098 0.96244642537502867 0.012938661150884913 0.97458017910904005 0.012235401187466624 0.015184760461582715 0.0058434941979264559 0.0089024098206075437 0.0097007007088410913 0.35314222551225727 0.35108678612865429 0.0058133958233668858 0.1706952021403472 0.7814985741397007 0.0093225061175840132 0.040943223807740084 0.66706517880835037 0.9689280195842771 0.0018029052370095585 0.0068994665613464215 0.020112186011592533 0.83000312111825758 0.0095947228179839878 0.010627377996680655 0.80481714967291496 0.020756321407333505 0.0068183073460687067 0.32860770286606733 0.0045767404705279926 0.0068931880792226976 0.16281860399059803 0.0076845153918852806 0.50957749695916488 0.0042549047605780436 0.0081731081116830466 0.018062380573162999 0.58423503492729079 0.0069460758126617707 0.0053573577793262044 0.011786534063364638 0.016028387841925073 0.023022332030932176 0.00579041456328708 0.0073234172928817185 0.51475470433711679 0.31734344245995039 0.0072422669875537929 0.0022245761372683506 0.1505673970609567 0.0032612398407509723 0.0053647861400510227 0.33735436794019108 0.0095334215200299291 0.036655529392230754 0.013879014708172868 0.013158314080295297 0.0049048796959838582 0.0033741563065760464 0.0072128557879605135 0.64252943590360656 0.0065949626616195276 0.011561630878912195 0.0071321047724222575 0.23870213083046871 0.65221371131648287 0.00829267776373112 0.01086818485888688 0.5856739560295311 0.0093114128110954406 0.029495000286726455 0.018778163452448961 0.007427957349777782 0.7876509094721672 0.009590286189895398 0.0049146474923728034 0.019723888904133634 0.14296689720866002 0.011300130525501939 0.0096556030779258971 0.0075849909214021211 0.74357887084121488 0.50119528797287638 0.0077694042278526349 0.15733764880059994 0.005117272688370149 0.00547486929479017 0.0073237746267063811 0.16578725439786701 0.19582186384073172 0.18815599852601192 0.0064569782262456459 0.0078527181148923368 0.17156882030825155 0.0048102501903455174 0.0044518101100964758 0.0084678318341638841 0.80838127678812266 0.48802466305066039 0.0077886172076351394 0.49571070754428948 0.015429541760257055 0.029981898401101742 0.32556132998049736 0.0054572503857061106 0.048190831065379656 0.013420793840079225 0.0048186063338862177 0.0075997438785318531 0.50318153378224895 0.18407247560412773 0.0077074326592101216 0.79793090544969214 0.026355206370930098 0.016885229883664053 0.0045245144826626697 0.0063967475144405088 0.0077017450544049383 0.0071420349547915239 0.015426361457301602 0.0052351927313975116 0.0085907696716190085 0.0091125238007323198 0.015724747094201599 0.15159159748948628 0.0050640891061520706 0.18766270396318255 0.0071207296031492165 0.0032877407161962142 0.0049881749850667935 0.022789202872866766 0.020921743622372958 0.64814760885667688 0.0018864082480404458 0.020771601084982969 0.004900544208054301 0.81291199941027026 0.93326462460908877 0.0094361280393493157 0.0055258734736306535 0.0039769321805989358 0.29796656606779903 0.015238394173259532 0.15811919795439364 0.31004768212895545 0.20147463189112536 0.0093946275411829483 0.012671100356682195 0.46804234511700182 0.0039339464484769663 0.0069558873672200781 0.012253983606629399 0.0014453608648939329 0.0041471963891635795 0.68260397292822206 0.81980002062604662 0.0051791749013070567 0.012758985061796837 0.016409505219300943 0.0081089129504177161 0.0088188614179027045 0.34989498972620148 0.0071555166054417668 0.0053748270327322774 0.002131903815354439 0.34697559125153321 0.0044506315613250889 0.32654605832939643 0.0052790972237935063 0.33807617422585418 0.0060831873397176805 0.30597611913488937 0.52277172812454231 0.31498489590792872 0.0095955320733003332 0.012107611420305116 0.010007163766932316 0.0080587202569607011 0.012865607812339567 0.0078851964636181045 0.0081873974872850967 0.82861247006331884 0.010138585023010542 0.0043060760144260756 0.0045023674348746399 0.0085840930301973005 0.0035598274763194854 0.20138178618804312 0.01047333128838716 0.0072415109352503212 0.0047015579126669467 0.010274198083281394 0.33320555772090915 0.32258101235133219 0.16763429955931464 0.0085895991276949205 0.50402782694236592 0.0087099215059511289 0.015084317558942854 0.005211914765212879 0.80592123274018479 0.0084768710124362052 0.008244184933504305 0.16293175109181021 0.33569224301790312 0.0066542282451331307 0.010970149967885923 0.77280756605346235 0.0084455553374110873 0.0093710824237985945 0.49367386793073664 0.16150243788714319 0.003952035214822857 0.15815786500474399 0.015153820941938024 0.008056264738473904 0.1809460572850233 0.003932300855352254 0.3075499631091767 0.0057467229180553957 0.0064543912021235777 0.49293170181708046 0.15503510101340373 0.0083107639183205035 0.025054614172552475 0.013218210905149325 0.17884031837183953 0.035279466011961774 0.0058393652123098676 0.0053827216614643547 0.0054600609645848782 0.65541240422514546 0.16153294960476033 0.61709540283321251 0.0030617039205802234 0.0060875599048423601 0.0037744012541658808 0.80376638299023484 0.009573989956291086 0.65213616527027218 0.44619535990585624 0.33694851280538535 0.32483187417027792 0.44635665671421554 0.0066748351953937832 0.0040979781093232462 0.012122853922534343 0.0035933366118897836 0.3442569941523711 0.0041461656691171396 0.34406601669348968 0.2862875515188481 0.0036032099035553326 0.027318338325731384 0.0065718623109481192 0.16564811941184046 0.0082956283924346622 0.23076278876089493 0.0065236501217042497 0.91417302451900739 0.0065139462050078749 0.16815406737475688 0.16036754487093971 0.0069798727492811578 0.0040250814212274607 0.030177577875621562 0.0071029437032387481 0.45760087028026553 0.0077638887416026092 0.012327394167564086 0.0269607334178424 0.01631110841993037 0.6420382877622387 0.19611139759094734 0.0083041853537774296 0.0047900463828097284 0.0086566773639162216 0.0076527994851202652 0.0029805000182944134 0.0039580256388129049 0.012162859874886188 0.005733697983338293 0.0066065134161998988 0.004140725130914266 0.76768554746310258 0.0061238598718939604 0.0066661378383905045 0.0080587278678649985 0.088213292202221169 0.74646996193953896 0.0043667470682480416 0.16774250556122555 0.0095851008016088202 0.0045485795526878803 0.33948038477497899 0.0056397706491591922 0.011282815161201262 0.79731234808951701 0.0064870357987299402 0.010380045548835313 0.0090381085910492265 0.0054793991627347651 0.16138966159003784 0.0056685587522631517 0.92922030480414342 0.16003997677764398 0.0066315027351175736 0.0059703902016833982 0.0069238380533230733 0.17967861434699103 0.15419504419466151 0.62215746540180028 0.0049146589514062295 0.0078084581630333194 0.33430686492235961 0.13917018735286851 0.005876142905623309 0.0040869449119000723 0.0092493292205554217 0.0028720657149588331 0.0080560747224680436 0.023089251836775598 0.0077766605089682819 0.0049128419617699296 0.18731917390244102 0.17312365165333699 0.90717625191560702 0.13508273792823888 0.56799821259876637 0.13581812457843187 0.18119398403469558 0.20639240610637385 0.16337759812289615 0.0084270327029101252 0.0068336163960859269 0.35080047142876547 0.22887634619944403 0.36161814306684248 0.0089686144477549388 0.0062338828602822166 0.35183189154589856 0.34361496200551955 0.39261554523220504 0.003952455661331818 0.0039806738252153176 0.0092200332535270057 0.0063775520358782837 0.0069436168965460367 0.72371419519929647 0.016979906753925404 0.0067924922607814032 0.0080372484717133961 0.0037585158841227009 0.0032482892839384818 0.16636775154313357 0.0040180587339132545 0.004643653111297036;0.0050413481052455598 0.016267609991920062 0.16267886843610083 0.0047861996716698513 0.011532735788788545 0.0051732095927430003 0.67051417023149451 0.20286248536020154 0.030786270442740866 0.45849849475672566 0.20532880617401669 0.25290084181121697 0.20157286178479561 0.021169425435250813 0.0047080371187462472 0.0041736448487361263 0.011239604195290779 0.0094342262468318731 0.61351373722973912 0.10170974580887752 0.20988776689472238 0.77643194598759002 0.30335974722605158 0.0080767832926840304 0.012330127532770404 0.002701946773143271 0.11320939146372871 0.0039049010422655302 0.11660442817630814 0.10607722879630958 0.10027666844157898 0.20714028663770045 0.0055270381556528289 0.0043343824408067092 0.012777674653233775 0.29546508813888095 0.11063203478483634 0.10673757633717657 0.18583176862777362 0.11840534376413667 0.10990957295966572 0.22037851989648208 0.015259496565572971 0.010416216253782036 0.009603805336185994 0.40905143532751542 0.19868154598024176 0.30353582050781253 0.021818965035748223 0.099936920183742062 0.0040424207161617737 0.0058583457193388897 0.3358238293924935 0.099306759860219515 0.10645969978904335 0.098724203544202277 0.63091430873724019 0.39930102451391525 0.85777751485134635 0.82815050943486423 0.54469933498864498 0.60175884914381061 0.096498618150561266 0.091663750016744178 0.86132565680866313 0.96341789273244305 0.011826962726969802 0.0071882723324608513 0.94990090246893377 0.39326830584123373 0.45118776796135629 0.11573587330053201 0.012325170214268794 0.27132871183161605 0.095505522983069621 0.0066971206929759709 0.30083873383934773 0.10636534039939589 0.02957458718453192 0.0060723372168481025 0.69223055252959675 0.28558536170238169 0.10781776639352933 0.83336779912700032 0.099672813895964954 0.21183357872709344 0.0068386154627336094 0.009287047219929177 0.012550952746834753 0.022996068044837038 0.013187270347341504 0.10050487495603316 0.012457948166582026 0.0058147562894255832 0.097095456552475867 0.11187418831913193 0.10567220924418669 0.2951586024360533 0.007704215682651035 0.10433837723660327 0.0053978982909620461 0.091903931739494071 0.71371265063680511 0.11609724910688365 0.48469844412822094 0.0075322858547524473 0.20541598777058293 0.67070693313999519 0.081988075446980349 0.15281348491249869 0.10109501106691471 0.077540478735873414 0.20684680524904764 0.0097321599023460249 0.22178557735255572 0.48166975864855605 0.20486925036263226 0.20337447403361131 0.0096741765853430115 0.2788765557805517 0.0025478586013726809 0.1050017806900511 0.0099924435656658459 0.0045097146039194905 0.10121041805759033 0.10108503893599799 0.004846436312550181 0.012330088832578769 0.10889510539582263 0.10471007531252895 0.10316050156264558 0.2058700670832819 0.10351749636157188 0.84054362795822768 0.10723556979479754 0.0040176535865422284 0.0047418612236771497 0.10977196041287218 0.010117571023778919 0.10698534210971231 0.86042576360999501 0.11594934279405482 0.29817834744148308 0.10457341010051331 0.11430919166394148 0.025556241944078621 0.41138256263676543 0.012399064557925447 0.007639763651187844 0.21219476316223013 0.10620664503099371 0.21133857086095742 0.10591075384776254 0.49870061720561248 0.0041994174975999053 0.47785933549023024 0.12472053307422161 0.32136958424001666 0.0093101718080012916 0.18671364158067866 0.0045117703067217218 0.0081709488301433819 0.0092515642172740185 0.10416564328097679 0.0061615711435609281 0.10813291898517557 0.95725556021755986 0.87675347347511545 0.0098877036610977125 0.0075820377497257656 0.0050504267995143352 0.008227691233919289 0.015318905937752082 0.007660715752484417 0.49920257034362997 0.33759599470449086 0.0095175639661597353 0.0055996115197712937 0.0060447392654672596 0.20375232684505359 0.30523876757439844 0.0042600856647861387 0.011714573599209015 0.0049246721640952527 0.34374428087178938 0.39384382647223143 0.37342242022848032 0.98408356046435308 0.84941772844406449 0.10320683171091637 0.010542202891380461 0.394206355228781 0.0096088540841895373 0.10223512884730789 0.11020161229151623 0.20964509979796708 0.10767587804046538 0.10279045567435166 0.4890517604149987 0.0041683059737042246 0.10031567595077898 0.11020022692666233 0.10441778723380103 0.0065386028235101396 0.30181669418398926 0.010945868325528723 0.0040025388288092469 0.10445640447370307 0.099780102109073371 0.10262941688639794 0.66440050367298853 0.0033291507782277395 0.10063866727186911 0.012256447529477719 0.10785691570364719 0.11021378946355405 0.22203111807613779 0.30171748450518954 0.87117211539752026 0.65803579945426693 0.0043256771376045415 0.58403404510113732 0.30770882874032501 0.0058337505577076062 0.20638825312114162 0.010106503195382723 0.20118182666636739 0.10351181871648628 0.0036617008939663124 0.011251529970197734 0.11640812089980433 0.0062562617224530305 0.10802116553829109 0.0074395313775727813 0.19709517155374023 0.10518551787816617 0.10063361681401814 0.0062218576395018186 0.0050743920552008496 0.69670111707252413 0.0047726574120575821 0.11452042946583593 0.0064437950232071519 0.19739465861905234 0.19720435787115292 0.14115576982259548 0.6520557708457807 0.0096287175384318427 0.35582295136788344 0.015020958032047366 0.012595277869774083 0.10773968789619284 0.0033487711314006408 0.015840561090031992 0.39311361730267258 0.0035980482539682383 0.011810899953396852 0.51241208770788649 0.10729331751017251 0.0053415750945024314 0.099785340228925129 0.01105851991139804 0.55950979614163066 0.10978986086943296 0.10026005415518914 0.30114051974906664 0.32837972592041587 0.21079143638742592 0.0088622435305351546 0.0089825500946411237 0.10800283962088733 0.015169636984875331 0.0057357913606968288 0.0077439451357195297 0.31293897515242719 0.003679369706562562 0.014940038635523494 0.11548640073268136 0.11969374465217181 0.12545876213182217 0.3941326202559049 0.0033291153225981328 0.63074616823128637 0.98298837375283221 0.50410871959875425 0.11378824481753262 0.36364467101736186 0.012576374104378285 0.094637653748104844 0.096915959824689271 0.0049777397134636312 0.10331279890337774 0.004402760021424256 0.10579637750168952 0.3035528656745714 0.014295893553137581 0.015535011822251829 0.19582636592091715 0.024790223105415281 0.0052641593607573919 0.41767103368656855 0.009550493109790191 0.018270927934348605 0.40106055994940948 0.015792440542785814 0.0070593446833322124 0.10165939567625693 0.13206155133239841 0.011423902050295863 0.011666692302080001 0.0088433384597463201 0.10168023328037316 0.10413535324782643 0.11278602790541355 0.012188149522039565 0.87352837576008113 0.0082681483527630613 0.34100063914759349 0.11766755796080323 0.49625576092401175 0.27844948075501141 0.0049574360782983305 0.004084365822736493 0.0068668231767534732 0.21813365718008654 0.0059527424367316825 0.10834046726018347 0.10784689523351064 0.0030966299935584608 0.0038456014462828927 0.29826546301790618 0.31488822645342968 0.3056239023152254 0.012178574512299423 0.10739655274599873 0.11060640321335949 0.006131325904426433 0.47443715585794771 0.20125575677176008 0.10403301054308767 0.11991267214277189 0.011126465872908305 0.27817147600013342 0.014260077377040742 0.0099143053685796529 0.10873535319663474 0.0044518661640852216 0.11897944984917663 0.3974807654780726 0.0081934448757088885 0.0086181695805894205 0.66445772464490593 0.0052707374640086702 0.0050797634626089817 0.1014557238974009 0.0040394097823701824 0.21560150615180823 0.29436796904665413 0.10971343322346107 0.093367675866845495 0.31083182511313789 0.57990263937201225 0.10303939097956832 0.1023856689909473 0.10078905517852735 0.10810407544380034 0.005347976833109537 0.499172342346556 0.0061972170844884402 0.099343186608576078 0.11635203094846373 0.10354802724814333 0.12424462107977408 0.01900027099302698 0.21829173257096685 0.30264645281969932 0.1011614153905676 0.010471233250042055 0.48771992923830487 0.57174648677361217 0.15177225571894826 0.1061484261056775 0.089238763713996042 0.53552835594470827 0.024079807400978329 0.10697101819892874 0.0034127935140945407 0.0054741170723479841 0.0059461399592579747 0.0097711258802016115 0.10475850024348195 0.22271621871539707 0.21178256957153788 0.30274891527478948 0.018160882838170949 0.10940647547808389 0.10552782521354671 0.0063486349009347701 0.0052608192258814229 0.008190189401199522;0.0020904636306204824 0.0072561789388470863 0.19653769073692354 0.0022945401243584908 0.011378702013133022 0.0023530765661060778 0.9903095751942822 0.098793601108942156 0.012991805398818779 0.60922745388467758 0.37047508573183985 0.003148081752210252 0.0018426458511942951 0.71115014065215898 0.0028793772217070197 0.0038868272739193879 0.98607753910313267 0.0028129635698552129 0.26981688234651319 0.99089103653485333 0.088602844361749519 0.99727007519859534 0.62913694533351028 0.0021773159149961418 0.71295873995010584 0.1857113354914362 0.095824298750570164 0.28851460910551696 0.0026041059398369602 0.28008763063395631 0.0017813509339472526 0.0029061711742628324 0.0018549064545134285 0.0018524630159191457 0.00612293212996307 0.10365164677880667 0.0037029874878044362 0.096794501095562105 0.0069961269832601158 0.98292723900258916 0.098727611544038446 0.3393195859492571 0.0034268721802268153 0.0076141283337744538 0.090251131845226526 0.80087960787922507 0.092877055148811213 0.45834127008329562 0.71294527447907852 0.003183472377280702 0.0017179866991560179 0.0037255189429180676 0.37560125258786703 0.0034742959280213434 0.27092161806524506 0.0022610764869000423 0.18301118835967126 0.0080335539565042306 0.80079561633052543 0.1013581100177206 0.010400860803512109 0.091950271535277059 0.093287344546821332 0.52727926276589043 0.82375509533354063 0.096358100959442625 0.0033096607849126595 0.0040736520457236016 0.10077185470655781 0.53535993225697243 0.9992149894182748 0.0018399697383119154 0.0032091690833721837 0.0046149224807579955 0.0051555730922139449 0.0021804397589737469 0.17924069222032682 0.62726047604528035 0.43742006794810395 0.0018832178753449243 0.0095314664808861822 0.30185236912464175 0.46022674460190804 0.10941130756529371 0.0027755761734405129 0.0014769279233006779 0.0027186666659048185 0.0041118607972026279 0.53900997629061098 0.0005803555002342509 0.0035396561413255298 0.18780319658007794 0.006752588263348 0.71372760117150924 0.0019381505324329652 0.0073598286875536595 0.007626803291381443 0.64060624439494185 0.0023260171793039065 0.0013385235564626948 0.00099011396545728566 0.0027067906733110872 0.45577084544638391 0.0022852824888813664 0.0025182948067106786 0.0016921552367846124 0.0027558954929686511 0.99103294004105402 0.0023332303171678249 0.10013192087079405 0.0023709936813601437 0.015852267684590689 0.54421592629081594 0.0037401527115673429 0.093240763683520966 0.0017536355451847651 0.0042587276157154469 0.00525198480206851 0.083253874321364885 0.91169282564509246 0.001941293044178677 0.26868704493090817 0.89257627077614865 0.0037495828102004744 0.0044859436954026929 0.0042288575107431673 0.54996633542101558 0.0073898860888046087 0.51480955666467909 0.094864463943386906 0.0035216086879891195 0.0061055591300472403 0.095425976216354541 0.99211663711980336 0.0015118600677379798 0.0028156488558895142 0.0028339937361811121 0.45141684691835732 0.0024884617620959618 0.0032428860765917641 0.54509129249033861 0.18634244816362897 0.0045856982316368426 0.0049788101484408006 0.09692015170748608 0.41423566323368183 0.36850911473994002 0.0047816037538090956 0.0013139963927389245 0.099125929170023747 0.29078290218714753 0.5404262804473825 0.45397517473287036 0.0072034838054440987 0.0024992291116811066 0.0035225286079626087 0.0030029477238752529 0.99619859301042446 0.43586839695793272 0.18706017937551278 0.0048566974960339553 0.0029140938515867776 0.27776256231087354 0.46002987692334213 0.0083390420058863327 0.0015884614266839364 0.99161453162504221 0.10329225940121084 0.63024240754638716 0.0014626956105151761 0.0052762794531808072 0.091987025852751023 0.99133377562995062 0.0027517947751433784 0.090418535233262931 0.18833220408868326 0.0024296006545961668 0.0051663463211274255 0.0078351053282201231 0.17996050411603393 0.70684383377050031 0.0051328051959087621 0.0020670351070091963 0.098309040753596519 0.18709222698424685 0.0021048301013417642 0.0041415776038746617 0.90673124736241539 0.20083597105678819 0.88185296948435232 0.0078240964774082388 0.0043589251667608443 0.094993440231864318 0.0017163725970211646 0.0071643423807187662 0.45441283883717298 0.0023207639177366432 0.0032802240604827225 0.0013009603746784524 0.0046338002836395316 0.0021660543776998815 0.0037043296754268036 0.094643841585360974 0.094285764194793231 0.18539330919890554 0.098330335278400335 0.27669855576442814 0.091501761811870461 0.0041266880677785544 0.0032485709038709335 0.98760644128894781 0.0068104710664452645 0.0073496647401525735 0.0027379138673569326 0.0012297620466822849 0.45671938252761707 0.64046327498807842 0.0072455259760613767 0.99910788040608844 0.18476354925285385 0.0036706285727660078 0.38907132416874723 0.003154897448257042 0.0053333640998798988 0.0063767741322136966 0.0078911207614312615 0.0021330234180807401 0.0015313895976122541 0.10029925134449823 0.3847806963093312 0.0038078719322433407 0.0043494779441562255 0.62096746439307693 0.0044489245496184427 0.10996460153624639 0.0042523408959345855 0.0019010617132858652 0.0024795428543132815 0.092233799298106836 0.093052473735163801 0.0014958661432780936 0.0048577231103965881 0.008084676884525242 0.094906089248795386 0.18477476442843732 0.81899817834341571 0.28169111382712653 0.0028603966400190775 0.012298669769003538 0.0037955014363657679 0.0025435242422264066 0.80697682698919926 0.0052408595623990653 0.0028769825966283137 0.092178874414062847 0.0022599736469521834 0.37625691308263293 0.99353337476232118 0.0060596578029034343 0.0027773717710931319 0.63303876634283407 0.0023570229356801287 0.015223360544031592 0.36436196545680155 0.0026647725589909179 0.0033617887887051178 0.18589649934690303 0.00078906052225828139 0.27180815476869413 0.091215042478086469 0.0025629630973424181 0.0021874279194525458 0.0025776602943041512 0.0029597692046801614 0.63322013662642296 0.0024904822493910339 0.095693810025780868 0.0041908993007271338 0.9943713638309033 0.9981952168321846 0.0034809888500862106 0.0013953515650791696 0.26687403214379185 0.52896432471987298 0.27074925872338251 0.094308577466633667 0.012177444743189714 0.0016700197561186094 0.80744908768610268 0.55432634477891751 0.0050659471676102992 0.46702852690166874 0.54269806019257572 0.0024919705398069101 0.0011408846862690418 0.0013323366330613917 0.57237314518973159 0.092734278662061395 0.0055780699444328528 0.096629938244648605 0.73068716922828014 0.0026599105000548384 0.094074266359499642 0.0022777515602797507 0.44671118230478846 0.0019630256863014495 0.0074396059546426941 0.25581731084317005 0.0054061052006779218 0.63367748781778266 0.0036116875750577381 0.0057152711493391756 0.0085593221502760948 0.095474654758538238 0.0014489686129633048 0.55178323838727317 0.0025037289231897605 0.093287493209959133 0.19214054926519977 0.98511195729797885 0.98976923652229853 0.0013259003294430476 0.0025774760358054766 0.0011299589470657716 0.087086622719011075 0.09266572127299319 0.0029111825026032585 0.093284778277228128 0.0016034669150442982 0.0016455403082588534 0.0037847293625908542 0.0031214218685852954 0.0025215807481593273 0.0053916294741307956 0.0017865779969774983 0.0014092318185153648 0.0027180966684709263 0.093440161148946377 0.0052088654030257725 0.0019852511006081116 0.0044237039947066931 0.45105786112492763 0.09234122103680277 0.0086336927840374254 0.63684908319972833 0.0042511181150634457 0.0012792699670854226 0.0055359590019279899 0.18292646966167003 0.45297608039118509 0.0051912839837096264 0.027115519027284544 0.091076930744065365 0.0039824087076722765 0.0027416380670046716 0.0016358631919390356 0.0084809391044641733 0.0015467501636959417 0.012223771414570067 0.55036299847957082 0.80552123976359902 0.10927883794056124 0.0037750905776365749 0.99201501960033711 0.0033130147892854634 0.0023334815030662775 0.0022069620390728854 0.097363058511149278 0.0065843617705380816 0.62412282927343365 0.016570808382624359 0.0071429423636785398 0.0018081572531383396 0.0086878445071956814 0.80622207891114872 0.097756805544854192 0.0036387932888338522 0.0024752527747463806 0.014945397234982741 0.9913502893537729 0.0051065486030191986 0.0026923736491115181 0.1695288214861643 0.36185627756572919 0.72428166772917524 0.0052664614747928024 0.001199645405042554 0.0019418850656870313 0.0022670477996643212 0.0017150266495740104 0.096393745677683482 0.64065386727009366 0.011469940294704354 0.0020012807697836845 0.094867134527111707 0.27103315620554036 0.0039106172779243544 0.0011348224378843197 0.0021613670370527571 0.0028897648419753874;0.0083296191303435813 0.010813985564842952 0.0079676298722619991 0.0065529071179264865 0.60468607592676782 0.0070900668799564947 0.0069210818112054179 0.0073470249750271404 0.0061532814789052905 0.95771897572788722 0.48448266158329684 0.011100455145517451 0.0091919247313749525 0.018715160987401586 0.0065059090137010158 0.0066329147708446869 0.14207336934147949 0.47428138139659692 0.13110502096430829 0.01308188843987931 0.0067307127732485839 0.95011701249427405 0.0041934959857283325 0.0093476461400741114 0.61165394539993845 0.97198988832057953 0.012066404507825665 0.62872331445892571 0.0092980534569823223 0.72125561967085594 0.0081990734372909442 0.0073702306664106543 0.0048811189301890502 0.0080978651672730627 0.012612203750499935 0.0072326234863391804 0.0061930528528588063 0.0087134067149234763 0.0068794523491622784 0.0057148027187667455 0.0055741558090847965 0.020008248905133228 0.032706146983231696 0.0064056584474470575 0.0081192935809460808 0.0089511505619167698 0.0050535934306073114 0.7500317441491432 0.94637980741063443 0.0050992445272120771 0.0086853604954899976 0.0056820766280567692 0.0069003239018316032 0.7465839758015882 0.022488800525715114 0.0082080088269297549 0.0070378527643395966 0.0049540379545861607 0.0088699918038113446 0.0076679873808700623 0.0059011252917548227 0.0093589563021764296 0.0061847272661374672 0.0062394349251349533 0.0058831061138027753 0.48141386958354448 0.0051408823310057855 0.94723127355675107 0.0094457533222866551 0.0071725019085285835 0.0068884551037137077 0.0094094036405578049 0.0061402094797407183 0.0076243045834816772 0.0062119048561341357 0.0097321221279830714 0.0093302297519220981 0.11029089499760715 0.0053942246546580253 0.0055853761493124422 0.0053832178835662636 0.0023702735217303729 0.0067144214090727808 0.005775125438046062 0.0062676103816785029 0.0094184896182906586 0.0048778200116194204 0.0051712231913068479 0.23367573591934024 0.010717825199668523 0.0059615757382843202 0.0072063969464799173 0.0075674139180504788 0.0093562067952626428 0.0055314607473978053 0.0063814721669355166 0.53729621832492169 0.017733557670257253 0.0056898840355528195 0.0060411746944730492 0.008156190253604716 0.0062537270857340229 0.0055199106166934908 0.0084348362113588257 0.0065646822609737865 0.0058552529752158447 0.0075213789098566861 0.61158763806226213 0.0057570393807344069 0.0095450781710244795 0.0091286234041204947 0.0094742468475700337 0.0063853998326081031 0.007039829374484434 0.0057728079540008788 0.0072905326366328842 0.004828957121668506 0.0063337613724257788 0.0054229538210954558 0.60996131810817433 0.010023034307661653 0.13400124798259491 0.73205922570573578 0.59455362628516628 0.69707170581824984 0.019857573028468072 0.72946617765636312 0.0058518986684035603 0.0038072955739909 0.0043873890056535282 0.0081559513998821186 0.0098759506843475661 0.011518733577068797 0.0099159608939007309 0.0074313497595846247 0.0075655577659881111 0.0074278352742251277 0.0064211871540679503 0.0093643236793567643 0.0079316973427182025 0.3647621979601991 0.72019567594309086 0.0066904377867972719 0.83635897430156336 0.0064788731612342582 0.0072738450907383397 0.81942336881567723 0.013296161633150888 0.0085404644751327693 0.0065268042204501987 0.51564108325869518 0.74055115151274731 0.95336454528222248 0.0056506333120125429 0.0061308114872343092 0.0074794519304160331 0.0064806767704839964 0.010295079895288804 0.0068834341777610358 0.21953433961690319 0.24435108933459587 0.0073586922465322556 0.0063249011889517301 0.0072298962983236154 0.0068131317915255726 0.0057919885107718828 0.0093738273553657207 0.0076011167986573761 0.0044163023518693691 0.0061790551004657166 0.005184518931093382 0.0056852395567083755 0.031352166689404493 0.0070694928977341372 0.007032079461828258 0.011340621863131719 0.0057187230887122253 0.69027162215102345 0.010963571009136008 0.0063050341747130714 0.010512860438895853 0.024988008445661986 0.0065399528175857534 0.007894146001226017 0.011879035152403178 0.48778048867004814 0.0059208413232369863 0.023725450463893114 0.0079783158588115303 0.15736565362297844 0.92443832585702645 0.4789532578300959 0.005374589854053805 0.0056910015060879981 0.13212492676800391 0.004347831523945688 0.48772480512732214 0.014900794441531154 0.0077504137817284617 0.0180162056410509 0.0078855620496558355 0.0069706126519010706 0.0071053247089668311 0.0052824147529921955 0.8580935540401351 0.0085297375860009517 0.0066496941052660158 0.005888296519886857 0.38092870294706338 0.006470318852402397 0.0080308752668615171 0.008082398075837046 0.0039738762686811558 0.005600997695656606 0.014737599864045239 0.59380521250184004 0.0061993325662912605 0.0083221116608855374 0.0078888754000660186 0.0083686580124289547 0.0073555070030013664 0.38008497238836902 0.0092507928326681123 0.13431892510595053 0.009746520231945572 0.0067325842722505188 0.0051494208025445395 0.0065701764526374046 0.83324600621129619 0.0069170777731015634 0.85342094185389983 0.9424969809985978 0.95427302390062108 0.0059235789390452796 0.0045705580378385992 0.0073785919940819429 0.62332234385180674 0.92800799319067673 0.0068816583969871009 0.004522425971774117 0.0075258342221845576 0.0083325484775970959 0.0062148438048897836 0.0079090577526780663 0.0074638184265833161 0.021850610043613963 0.0064560895680082385 0.0079426762830591933 0.015393258935052818 0.0040738624332327276 0.0085360883103160166 0.006547447527741764 0.0077083327792643336 0.008481612658657588 0.0054815029099128084 0.0066736607353701117 0.74723500311608348 0.0075023867127177084 0.0076545696969864564 0.0068634173423751206 0.0067815488034605543 0.0071335701772918883 0.007908259298307534 0.22685965782881815 0.0099249200810908999 0.0076661497655567843 0.0088931909009476832 0.0082411848326154145 0.21069212790194178 0.0080365145926893783 0.0060078285216812657 0.0060582685907235468 0.0061246357827135327 0.0086245936461999666 0.005114284300018348 0.0096384561321620193 0.76537488426607025 0.0066094277804593336 0.0077790673266299225 0.0075504654285079654 0.0070071709708569617 0.0059799237531855736 0.12749280803978902 0.73377123979265291 0.24945010786116417 0.010401115900203425 0.0093743003860361305 0.0098526293844806937 0.0097705118814694521 0.15995810629608942 0.0064016825881345234 0.16255341401124621 0.015226859447710708 0.0098933322297551259 0.0078567409185551444 0.0088575418511812349 0.72827865133546765 0.0077672964014585295 0.50269193162596937 0.0057085353653603026 0.0027775014375225207 0.0070659619245242071 0.74835458113043973 0.0054832569475306127 0.010989917853388872 0.01134205834282322 0.49142908316659917 0.0067622504175915213 0.0072887952875272301 0.957868868884859 0.0070985224165200107 0.0060980921607019546 0.0054815876249286249 0.0073860029845680443 0.0089432884691836058 0.47973175668549894 0.0093019422932939713 0.006872132507488235 0.005930114029901669 0.59606065048766432 0.0081741092607950615 0.0085725552055531309 0.0068103198640376093 0.0067884729322179168 0.0044862020598642168 0.0045698202830087844 0.005907436683572148 0.39248648674086406 0.0065691105657241225 0.0068267788369788494 0.0061669307073086051 0.0089323580203481724 0.0071303291347372148 0.0049069599571301119 0.0070961241803871302 0.005940173895017737 0.0063002185083782247 0.0061635169131244909 0.8298386106333685 0.0091642333396543402 0.95963684525222359 0.0067818543785289082 0.0069241084238624564 0.24817999385702463 0.0075181096084739373 0.005322163798012051 0.006278743979611397 0.59857350507188523 0.0041651438912637334 0.13348819914252205 0.83337494381906074 0.006269751728399252 0.82378133581071067 0.0077235720342161644 0.0094845296104902194 0.0057978994420925375 0.0082952596969408238 0.0068991137465141648 0.0056184333033897828 0.0069458107509742864 0.0046991699408381847 0.0072802106708325428 0.0058368211716457253 0.16670213755944291 0.0053552948892337197 0.12328571879667952 0.0054278928733194915 0.0071655568827077125 0.81530184705024022 0.23467705535331979 0.011913045004136546 0.60276147291948023 0.0050152218800056467 0.72512514174729592 0.0070256519019438399 0.0078100263481247281 0.0060881973447133256 0.8448948410246534 0.59437042600568635 0.0075717674912037956 0.84464627453222441 0.0085944896495512083 0.01038048988865818 0.0086182179997132298 0.71567226551721264 0.84112457682925679 0.0070488928213517637 0.0058139683223488413 0.0051398897471422039 0.0093273395435387353 0.0062119285050389684 0.0060699809996618958 0.96528308693212872 0.0043548848139401044 0.012425867627042444 0.0079527126884865306 0.004656405773293527 0.0090748125920830751 0.0064674173286842565 0.0049874903652099281;0.0042818273473167554 0.97242111917880092 0.46212813873283909 0.0049259210640797187 0.60356860533049794 0.0029405212953528942 0.0040596448801095168 0.0054510212230650416 0.35326703235998097 0.0073262977722401796 0.0025655128353587468 0.0088215809470630728 0.0053976672054410271 0.0020624997151474024 0.003360126474835337 0.096451757548736389 0.61748332849984866 0.0034938162435234959 0.0077892561993789574 0.01626009286736187 0.0089462263546363236 0.002868165691202277 0.59724798865839257 0.0047806888737617799 0.30369237637492047 0.0067204753914968047 0.0057923788158233975 0.1001128365369805 0.0048120031161395082 0.0031919663475330744 0.0042829428547251167 0.11793482267343465 0.0025738309501202156 0.0040225053218804546 0.0061406967633835467 0.0034960417439091579 0.0035087993334881706 0.10992549869567829 0.005414736835158431 0.19449851692241935 0.0025903310836907657 0.0069425528441289649 0.97608280103115175 0.0054770233425966153 0.0046136984491651906 0.52651720121549916 0.0049390014895919106 0.0073723817862166707 0.0079404703214265016 0.0029000933426252783 0.004522813099330435 0.0034000923365277076 0.0034076839897609411 0.43346517593198181 0.010032726922253606 0.0047195855772858919 0.003715438567674428 0.0038383785240845569 0.0046958736719300851 0.72699739721061429 0.0030177478666781493 0.0064402972618021505 0.0018091637437718136 0.057740566432867103 0.0030403356412791716 0.0039731020989565774 0.0054516390504485146 0.03987005983161767 0.0040765927028503443 0.0044227628355112169 0.016568567085197713 0.99224109257436621 0.0028070093671529049 0.0051544521844441686 0.0038781926163165394 0.0092835510223902278 0.0066374147662970565 0.26405201242526977 0.96296780322520414 0.98459955451175007 0.0018081585363381781 0.0023789132188351339 0.0029331292959914354 0.0030765625282441434 0.0049205368214259009 0.0046379218382018896 0.0039254742721643943 0.0015826126238269542 0.027383719878575963 0.0055636493997364015 0.0032195603715337922 0.0028682686616999108 0.0044897170054800841 0.10290303097195347 0.0035842076482893613 0.027544518809264444 0.0030616213025907385 0.0076377009331882765 0.0032809555540557075 0.0038889673753365853 0.003561308482332931 0.0029249190654359178 0.0027984642998581471 0.0044154120723435154 0.025967201684427323 0.0033547874638156995 0.0039304544896588169 0.004444779808721269 0.0035468018880538037 0.0053033357723915476 0.0052113262069052469 0.017299195741427433 0.0024479003528038654 0.94691452441795509 0.96213396527824779 0.0042039506048856933 0.0037260958927257662 0.0037762814214711438 0.011736907039027973 0.29638179904576634 0.0038327218218029958 0.016659059223749009 0.11510527617154309 0.69978892211635302 0.030825840209984877 0.67647902659182535 0.71330675089951034 0.0025348056125209634 0.96243928780257204 0.0033863528892146893 0.85854069552674617 0.0046581504236080495 0.36924395727246795 0.026863458522922663 0.0034609820106482744 0.0036442170514235359 0.0037991973952402726 0.0032842934717192264 0.00357389017917348 0.0083485856314029373 0.10885455695074554 0.73459981645768324 0.0020636671756177703 0.43027508424961952 0.005755645210160627 0.0057627238109455008 0.011772006682402003 0.43577570036299479 0.0043602541573804724 0.0037960555607761503 0.0026008408190168219 0.0064055148709227794 0.31620118715507106 0.65917596925859179 0.49784033678595307 0.005745904892695595 0.0047953093702338204 0.006239215543641429 0.0031272921275518192 0.0060551782710171406 0.048803846801693612 0.0036388581849085694 0.0033850220649551286 0.003677796405540272 0.016237615978768646 0.0027631722704863368 0.0041651498741010831 0.0030793457595094903 0.1092088078346779 0.003337325989959073 0.0029566149044072208 0.0024593289629240593 0.10282161782766196 0.79931188368900186 0.0045363554947327623 0.0029410569945916521 0.0031771403038478329 0.0039371805918846361 0.0048790941119354579 0.94455199583494975 0.013035872917990188 0.11350756129471268 0.0029379016371107948 0.0024042381534405393 0.0043868751475028694 0.0051392277310602945 0.0041117537592188164 0.7867507090047795 0.44057395487821249 0.7044932740901555 0.0045924041956225811 0.0050686424737245448 0.0029956127698457348 0.0038377216377640305 0.89600361453541999 0.0022684417733690341 0.0036219911617302201 0.40902131235090339 0.032622248680818658 0.0050233195900144635 0.004719255669890586 0.0033825403680775826 0.035030813921847898 0.044789317770580504 0.36688682676751522 0.0073259283170073386 0.0072336175996492481 0.0038531267518395569 0.60976499705657372 0.0035395259109336514 0.0056327880121089793 0.00359267378742878 0.11001369067174357 0.0029694033358560155 0.0088304037774650894 0.80225898423015363 0.011166476259045785 0.0020444945602928664 0.005283132986046362 0.0058507108251605036 0.002650928892359683 0.72543451669101733 0.005965047998187002 0.36391830261952146 0.0075378121431348526 0.014838864136905388 0.0032732374174136137 0.005512963246423524 0.0066649617471175888 0.0039399870845111444 0.0049829135166265118 0.0041712388541197028 0.0064454283323002624 0.0045333998918885765 0.019303042635488821 0.99233907123964349 0.0077464435225184829 0.0071778761591437109 0.0038796136782251744 0.0046436239345438324 0.0036717664310626824 0.0043159310025423581 0.012716676953716363 0.011034485840630225 0.0041331359784659884 0.0031279648159687934 0.0025067516189944961 0.004345673569158214 0.0075007129652838577 0.0017556350242707301 0.0038107795825704301 0.0036979463138344625 0.0062054076912329203 0.0068073695978060752 0.0033174951980201508 0.0036741582171298994 0.010966697178769531 0.0033778670905526046 0.0055123005204659797 0.0035996416642663188 0.0020427914429238989 0.0049218223255199306 0.0060332175268860092 0.075695112898109859 0.61796463457943429 0.0026960488841363205 0.0042045296021920881 0.0047508398222505799 0.0046199436940116264 0.0036107148684849503 0.0096568128480363051 0.004643306985704072 0.0066873724162096939 0.0041675438696108574 0.036275305127055534 0.97226370115349769 0.0044911328500302043 0.0037005305791242412 0.10913281115813911 0.59523269175384219 0.0045084690147019482 0.0067938525882954206 0.77092916573350423 0.010440071122256842 0.0088274754487575342 0.0061495186666903415 0.003880343457577548 0.005267445681268244 0.0055112828211456143 0.31069120739688588 0.0032915821933196055 0.012570508290460441 0.0014734349033551219 0.0069293366564563523 0.0052580670485532343 0.0049729646192620235 0.13147915488719775 0.45128720166255021 0.0054604533319896212 0.018801963423204039 0.0037389618209759091 0.87959047364693865 0.0079627280622023948 0.80145560803691707 0.0037078778797808459 0.98364458376554131 0.0047399957700676966 0.0051680210267605678 0.061453976151979804 0.010020832724024875 0.0044819396932109946 0.0046985480237520093 0.034666982042518758 0.0031515359913177419 0.0049037526324201934 0.0022018299051962502 0.0042997475443463081 0.0033820130803569365 0.016450213777425976 0.60931386995287062 0.0073496846816714905 0.0037908476862479439 0.0036548289203325196 0.0029243030228627877 0.0029067787510386237 0.0022242834098619548 0.0019575416717440616 0.0071751813456591776 0.98207584235999867 0.0028473598283561227 0.0038022579979679321 0.0047838995972566542 0.44623485938830604 0.0041427996648092614 0.003369078514390477 0.0029851203677133246 0.0028834882366460708 0.003191838744722847 0.0031172975198623552 0.0029381924872116326 0.040144565278570875 0.22890375487741638 0.003741892535623573 0.0036302579595084566 0.0039351962585393663 0.0034579468926344984 0.0050546922919217857 0.87435687707127097 0.0023818285575539569 0.51515003286803851 0.0051185971116933723 0.0035911612391506227 0.0038866910247154483 0.69730554891746388 0.99090140655498693 0.0040583750703181536 0.0049848540035412042 0.005094547090658489 0.0084648080231710422 0.014013105408254895 0.0047377359304883338 0.004750662980870784 0.0041016721009947254 0.011094399622220363 0.33832788015390464 0.51773044437247695 0.0013953037318415475 0.0041680467331593378 0.12240216993983487 0.75772784548168193 0.0074507114261369483 0.0056773519262331394 0.0057302529026167235 0.0068514465309293827 0.004492513361850266 0.0034581017070815291 0.0038688251869739504 0.0051547623212841662 0.95948415599656833 0.12051347255267367 0.007655273949783591 0.0043705901347937245 0.0046564634001956982 0.0035211334594446465 0.06186739380052627 0.0034234965774064935 0.79571994881679653 0.0047201752230201111 0.97749780958212551 0.0038668775739495623 0.0029048893751008153 0.76821048111893164 0.0068775629117515591 0.79931824474661883 0.03395986298343423 0.0026238068072194855 0.0036887104265141304 0.0083710012915537754 0.004146663652784717 0.00227634097444974;0.0065361644549920151 0.9814088578616682 0.0075012816118353882 0.00048569196455577706 0.99198008643285762 0.00031164562953096722 0.49263921561508761 0.0047627083920013351 0.98586805038101311 0.98067429790663052 0.0015454516193374426 0.004833720962533471 0.00019891192010321852 0.99196756130875618 0.00071633846348607543 0.0064744662111525918 0.48629994800351439 0.49997021431063959 0.49183454321112735 0.98436474546436559 0.0084469401620351978 0.0052638815184048726 0.0073497279993308094 0.47876590767032134 0.50292416824887787 0.97924106885671169 0.0013873248794494069 0.4906126275853398 0.012602731620193779 0.0089683820794546412 0.00044475257554811229 0.99343385129132811 0.00053926868099575119 0.00050239175101180009 0.0013917925246676333 0.0033109650501725327 0.018242536292225761 0.0061823226408367531 0.0041000931682128594 0.0044190747711122472 0.00065889003191969332 0.0078195752279503726 0.49703713995899135 0.0011428446697791562 0.0041713817908588368 0.98271571358398691 0.0038382164144833181 0.0012669049055538018 0.0018594474985297372 0.002703574297742658 0.49152516216036929 0.00074861376596632896 0.98305529034522232 0.98981233544687719 0.52573834905989114 0.00094462458044358981 0.0041250172832504369 0.000366595636793508 0.001048377272287352 0.0016898481884097703 0.0016379825464930935 0.0053850500222564256 0.0076230252683251072 0.0016755552994053894 0.99062455288962359 0.4916116437541872 0.0058415799803173884 0.50912322762874584 0.0035580685436082194 0.014888819432477746 0.0051788615217940297 0.99651843562419962 0.0011136030903216888 0.98600005655900103 0.0077878848727363122 0.97102893262108037 0.0047810643941877951 0.0055673874178966175 0.0004049189245396151 0.0022548750025711247 0.00044233186285947914 0.0022963905615440636 0.028930614925392117 0.0038735012477306508 0.043975018742492843 0.99269129103957909 0.99694724578299465 0.0074249126850604707 0.49742310704258913 0.0015454985624397829 0.0078542346533435441 0.0098104432246700086 0.99157539387209859 0.010961068409513025 0.0092778930463059302 0.0040122521477706273 0.9848462916534515 0.0014042694985862247 0.019667377261816318 0.036949645109897879 0.50596207170439145 0.006298031864357039 0.0054086935835200422 0.0098123398880676088 0.99767698631647117 0.0014495960545708863 0.00086418096107198738 0.486613916094292 0.0014068227509889458 0.0012138140835487323 0.50956081932566255 0.0065457413206838934 0.99695395176244239 0.0010251527750111894 0.0066982587368901621 0.48972076238669482 0.00029184097664612359 0.0043288663783674249 0.98586402755741498 0.003434805637047132 0.99010866999751679 0.015571583242787014 0.9945612347068683 0.010848505729207519 0.98593640638017477 0.0072960884067057325 0.0056518585130324907 0.0016708947049766151 0.99918215853671621 0.0017486421363672774 0.00076312707493975942 0.98676375100230906 0.99623392060727822 0.0025633786134891911 0.0024792429854220027 0.013214272962690852 0.0010918405839695825 0.99722998092371973 0.0084956751454583045 0.99205637921742917 0.001736543016898733 0.0011125162218852385 0.00099783114386614016 0.0027491756771612962 0.0066231057665768825 0.98798136753400423 0.0025507838266199414 0.99881550157990995 0.00058484172443699445 0.0038206069597943688 0.0047238889265603622 0.4952573310869226 0.0027999002894992043 0.011285823738594495 0.50200857158481249 0.00078592169745724558 0.51104811731933708 0.51173141064698302 0.0034473758964214197 0.0084992460979582754 0.98811218505636089 0.0012586912103308377 0.98115449942612043 0.015392509658780178 0.0058180911321763749 0.0047711609200711113 0.00040588361341820426 0.0032692081573684473 0.00028667341149653529 0.0026085291430891474 0.018012923856871386 0.0010916807907018391 0.0081322171426911911 0.0041993568344085228 0.95295995697503177 0.0067283630629867896 0.0070148520948340965 0.0093835157654820461 0.0011179965256521544 0.50098872002520434 0.0028977619281564566 0.014465205226338098 0.0056969355891955085 0.0020513628245367654 0.99614675767740501 0.49058391220911746 0.0063729165654775764 0.98937385459757787 0.0020880373468186936 0.011924005394422151 0.0097669810884777105 0.0054504484647968114 0.0014835386532531152 0.50146627398752319 0.0015658266575445182 0.0054059710178840908 0.0045933503611676882 0.0015932862863978201 0.0058506956123467076 0.99460987293780168 0.0023001333803849438 0.0013871047359864212 0.0055326489014869782 0.49291132986333691 0.98979170933696148 0.0087635880120793732 0.0039095098062365604 0.0003919509052027074 0.0033033728991043376 0.98989257074721304 0.50089236752781785 0.011920544821067771 0.0054353619357984211 0.020054990537545201 0.50129966318164232 0.99706336207072521 0.015486747111059837 0.010831953988876111 0.99224854000970664 0.00054215788377316167 0.00086829961000860786 0.98215751275743313 0.00083899812121413669 0.010466910276648943 0.0018815176546944313 0.0011894925192396635 0.0039755481660438503 0.98754729720302936 0.0014133326281117276 0.0065797433928819222 0.0032825154299447375 0.0076340314915825675 0.50251975946949434 0.012914058942191137 0.0060879835140410458 0.0053332031793008284 0.99844549250217951 0.0061199942063926305 0.0034598097491319118 0.0024193704104264429 0.0024026103239922635 0.012258329391789847 0.0018345448763150403 0.00086708520928766518 0.0056974315392144285 0.5073804756343907 0.0033997479008864898 0.0034665465829698291 0.0054186815150066066 0.50014491549243967 0.010781973952792016 0.99964844493822824 0.98695991311441378 0.50187759149392452 0.0019514295745637852 0.00042364733178928493 0.49123156180206901 0.0003672429709825107 0.49397451614272675 0.0027671032515669204 0.51036085871074088 0.0036286376744529372 0.00033457834899325886 0.0067940040754537693 0.98359541194650857 0.010485427030488598 0.0004368779805630779 0.99721675865570913 0.0011825276102367254 0.50392208865351529 0.0089668116067064332 0.0057318142711780843 0.98991798031387201 0.0012403690291140782 0.00045103962278006637 0.98850904747152624 0.49867744519783724 0.010467898067309845 0.0029052966875273878 0.0051196709424259036 0.0025576545274933098 0.012864008487023681 0.0043901302027282551 0.022946576011311177 0.0048772391029703859 0.0032238721936942074 0.00022019645186021995 0.0024434774530852255 0.99356700130106612 0.002795884545362668 0.00056554256615423204 0.51242373759573989 0.0070118604497382379 0.020727837596641149 0.015259314703045502 0.003819159960410518 0.99546953588167542 0.0052641983057605552 0.033787800589589384 0.0050349182005115806 0.0075183112541723097 0.016599417022507619 0.002120486356745159 0.0020677787249686712 0.99779584757799888 0.9946811903643783 0.001617422946817261 0.99132069544049739 0.048602183031279583 0.00092884995248935045 0.48809136348966931 0.0073693778296160589 0.0038927523362870912 0.035555830729218557 0.013393840069114538 0.024106628994234051 0.99212639096315491 0.0043621173733042126 0.0042740321527181546 0.49536565895510398 0.0013386778643138504 0.0011475940194248264 0.001859408917029245 0.0054808275511942133 0.49475783237867754 0.00026664511758626335 0.010754418542385751 0.017702129500296617 0.50729492136427734 0.49207940824357449 0.0011253086393169915 0.00073987855140857832 0.49242448389509941 0.0022897225028940525 0.0066758344010901562 0.0022494191738580971 0.49257974317921466 0.014828255633440498 0.00086375968419612691 0.006050300238855227 0.98897431812673764 0.0033399435980802764 0.015849425936471869 0.49105232483692995 0.015163574658910724 0.0056443250099747254 0.0048353428184951027 0.99930281052171499 0.49854284570798019 0.0021516155817548296 0.0067186312539766471 0.0013435773353010524 0.50817732791940673 0.50861201721408933 0.98691218114007895 0.00027911441204523925 0.00085096404278180171 0.010469265703165406 0.022544368977494553 0.010199474747619777 0.01080555960286814 0.020276455155258923 0.0055523583024153058 0.002815622435025816 0.99985397553354172 0.0028530895839256514 0.0075150489451673366 0.00024141933522476081 0.0068939482300526492 0.50449653014495832 0.00041698223808518588 0.98241110413637522 0.0072769310285555559 0.50919024038805338 0.9968780830907733 0.00098165072320617022 0.0012242201845788624 0.0037801495103297776 0.97301308212987547 0.0012153671811398128 0.99426355182908088 0.00016962365793984194 0.0039099250056909961 0.014313369262299914 0.99555314610311241 0.99921620872302608 0.50286148553997001 0.0068920553803594889 0.0034742838493841757 0.0097185853615793724 0.0021611560308195527 0.00089450332827626885 0.053538706447246856 0.009047492796232362 0.0023818963680282581 0.013195169913780593 0.020656068495639085 0.4963122763178921 0.00066972789606507192 0.013072376856085505;0.61710914220908919 0.086136245522910493 0.0044061294511121684 0.16493804329059314 0.08777085866581627 0.0029002271447133472 0.24724371360720382 0.47337558468639251 0.093496954855412345 0.0024479421880954869 0.0038427086713476691 0.73929569791703253 0.0082034673469601194 0.0046057276143993808 0.0026244851824577305 0.004269551928638861 0.092865316374369761 0.006772808022864946 0.3281806972509228 0.0022353507116753164 0.56812464551506625 0.0021205321692721879 0.50021573184455215 0.0030198416175701123 0.080873029541470368 0.0068628148253107972 0.0016683963981186556 0.83516972863494154 0.0033120649284055772 0.0019090216077682935 0.23574046416709724 0.25461848627864664 0.011662792948025726 0.7168627297398602 0.66492996529224779 0.0045229028118489445 0.12614005321433081 0.55276986036997733 0.17476001144265582 0.65100598783256691 0.41597749562184066 0.077060087941107414 0.0056489362741807166 0.0091598614023534961 0.0061524824693358817 0.57778885603939023 0.8842965747638617 0.0033897399348012027 0.004624639108268323 0.0023911238399085756 0.0025092656253231337 0.65794630604978011 0.41841739121743515 0.086912432326127678 0.0015155769736674364 0.0074774672777398396 0.087362820941202249 0.0041171853663752242 0.0018957725701397106 0.0036519723972395315 0.0048100228880223472 0.0063578278062944808 0.0044932713893459115 0.084404102055174804 0.0073405882823855883 0.091299976311489034 0.73778570899642626 0.0052494150178008731 0.083644607793718795 0.0069762955489810607 0.0052448239135638288 0.19062547087608683 0.018848652021044469 0.83118458104258686 0.39851739020601923 0.089627436796605564 0.0041603828533404016 0.0013250994602359352 0.005657763618290049 0.076572818259456943 0.0054965667577710903 0.56923547699385346 0.25752416793547089 0.0034913931867975251 0.0060274106808846668 0.99340189590026606 0.099086810104808923 0.65143109376383945 0.17660645293742921 0.0050391294013816187 0.0022436416466920881 0.89863580035962087 0.40755902329078325 0.0022442664891429058 0.0030940282412640781 0.72160689686940493 0.89094135789316153 0.40632429207362664 0.9934472975360048 0.73908475392675688 0.0048993263485343922 0.0037284431743206323 0.89178425265263161 0.004162442438474195 0.79827601924414626 0.0074455745546221138 0.004522002928725918 0.0075799790650244404 0.49065614474702757 0.0058431095909745843 0.0050086386874193568 0.67545708585723296 0.42239688303857514 0.0023801205529356208 0.002553912402303936 0.19182072512979392 0.0067278931236814015 0.0045773696922890086 0.19057383399180727 0.0035094412597445586 0.9883868355481904 0.012325823263340517 0.33174242037451351 0.0017469294604908077 0.0056559706863247034 0.0044688980098315052 0.0064143540067859162 0.0040948906141634435 0.66217662108618147 0.005831622762215354 0.0020248615428610783 0.0035224643864052614 0.16513021416120799 0.16867704920345111 0.0036317079682333555 0.81864344571567227 0.74960933198153723 0.07513448955325816 0.0013651232965007777 0.0084185219625000068 0.0048669920116269239 0.0058264417763429898 0.0048079443804033648 0.5766313901652641 0.97676826780997761 0.50865701910502947 0.0073811297909824134 0.44310807128156005 0.077032982188956795 0.08075967146843871 0.1028835597976641 0.64799340698325025 0.075889956022989091 0.26819256380883322 0.0035929251138293872 0.0051274205518147629 0.0043730420508172087 0.015276776543136472 0.0049007890181949941 0.007420169260847531 0.0032139568213592909 0.0038022964736119536 0.0056531091907518335 0.0027353598355640716 0.58729571213364629 0.001677290547272809 0.002317356505127678 0.0035493701984138462 0.0047118890821819109 0.1125535659378277 0.0045136927651573564 0.0036557464539422203 0.0057704293125993063 0.0056693979857020361 0.58603394767874017 0.088132023059772621 0.57078109212640671 0.0011286467812370595 0.001853709073179816 0.0027022298169220374 0.0027517302622169196 0.0018955674659323989 0.66661070301478875 0.079292284974910393 0.0031999070325082739 0.57221274190492555 0.0027820207062534282 0.0051830546241595542 0.0029449783378587453 0.003017854665861608 0.0030299911882766973 0.0064703462085165505 0.0030097677579498847 0.40717196936177569 0.0037738786298743879 0.092340984387695696 0.0027452590937954774 0.64079233779494149 0.0022921259611996645 0.98919860361726764 0.1531315550699715 0.0033802606778864206 0.0025747047833364779 0.26564884450674386 0.088960054073970868 0.0036082275352754909 0.0056160967052978489 0.0034397075014507886 0.0029843924678864511 0.004823571824047055 0.25897102637557595 0.0053419688230202499 0.16061412527305569 0.078459103198199348 0.0026839595388806581 0.0026591469194552179 0.17808295053127601 0.34113206445046751 0.01393206513488574 0.0017691678477179077 0.0041034084391825465 0.0032377890337626047 0.085023604485558762 0.0035218161827859137 0.74115047598768924 0.33287573340050308 0.49505819528427453 0.0050894609125404725 0.089558387685595237 0.001947968039377984 0.17652202314118995 0.51640760618674619 0.0012255415476610312 0.98514120706201902 0.0075802595260225742 0.74728891741719028 0.99777138805047882 0.0034025177499311878 0.73620900604095452 0.48665056260935152 0.0027149184246224854 0.89938723646529928 0.56514009707293922 0.40799174742640643 0.82073787877366944 0.0039968079144235219 0.56337196002605516 0.004372619418256821 0.081107133982827637 0.0036103496409934316 0.16568716554610197 0.10912372426566559 0.18140103051971943 0.0075279443769903859 0.001107976516544446 0.0072234404705904419 0.091506616077201786 0.66810241065499165 0.0039099591561000471 0.0019120124378548997 0.57267737216805226 0.25161847029703577 0.0058013465810642702 0.0013553716911099739 0.32059879687353759 0.001899558655806453 0.0036882214019760963 0.076535397204295558 0.0039692700770546678 0.50508124460980075 0.89926960600815087 0.0036215170639102489 0.081025384858133098 0.006874704193383676 0.34172109555692648 0.0063727671945681798 0.66365792142243074 0.0035968650269220625 0.080941387813465326 0.0012260504311909202 0.0019623985200105834 0.49561867507775703 0.0054281145595923546 0.17436870498563042 0.085721351206986887 0.17077481125546817 0.0081441211474536975 0.003390699936183436 0.0034738990429500323 0.0028347759149906213 0.0089956092530075072 0.0052795778390713026 0.49209223542191299 0.24898245803670199 0.17824500533566656 0.57094767606418884 0.0037004311977334001 0.0035204358522838656 0.088295078261679011 0.0018317518344786602 0.0036825168348361892 0.1732246311457426 0.0034033207749701033 0.0078284373634742287 0.57732747275070362 0.17540844809387132 0.0071911488647139173 0.0026475204237634059 0.0083925576093769327 0.0025127450401896466 0.24851222450441038 0.66114936503680732 0.0024967905380974503 0.0023987263524627819 0.011865344790459552 0.0061315780691305333 0.56471595675945829 0.004999484504588465 0.018470024213135868 0.66567727901649154 0.012773756119391525 0.0887624478665512 0.0021150596884594638 0.098541604065532709 0.65084305931408593 0.0087063099021613567 0.08221100847652929 0.58333870779729147 0.083352308777402143 0.66532151153684504 0.0028291183152873364 0.0043040306679487999 0.0014390688391227554 0.56490006166303552 0.072928778526872864 0.0068329729984448334 0.0053914504394180158 0.0011526431411351908 0.0054478352779056853 0.48231980099579508 0.0023888041413117999 0.24278147566848018 0.08888325536875262 0.0023440778354104513 0.002221292946412926 0.085646762078237168 0.075761536509586822 0.010004417751900852 0.6587223886735285 0.0031099796736049003 0.0024127742015598156 0.15933793809172181 0.0012917819534565443 0.0038708188869522472 0.006784332761199675 0.0023067486081814288 0.0070308267555233101 0.33314777344344204 0.0088182527847137683 0.0027553237978750183 0.0047899141598535212 0.64975317675001942 0.3175003556074471 0.0088577976678995453 0.90422543334447614 0.0044506294850541672 0.0014406326961800731 0.74461609571520448 0.0022381933383550457 0.18479697839954246 0.0025486808539991529 0.0053263227749095164 0.41369703331418067 0.0060303775186933894 0.0073706780418938437 0.30771510815657294 0.0042899031446922767 0.026839976595080719 0.0042109064663674754 0.0056764071013588879 0.084237220415608327 0.0036601391808132114 0.35519944524229607 0.31407851578240181 0.0052964591574498612 0.25445467847466574 0.16478875322928949 0.32411548311904659 0.0069928438803759062 0.086772776932563578 0.0084897652583205887 0.23008137882591662 0.0041249254970779246 0.0079490983272135964 0.099440347723244213 0.0095762441286302586 0.75841633948120901 0.079725903950935761 0.0016927315204879885 0.012339299120832625;0.0078701988569983769 0.0045662132414742091 0.0032609401720434779 0.17695556468743356 0.63344608674261338 0.0086890504338197078 0.0057440979657761891 0.096427338516148778 0.037189128416294182 0.0029283161656733924 0.0057540296529438907 0.083916192835499462 0.095588675565181594 0.0085018118499246773 0.0034045173662313145 0.0034446456171433764 0.004466840375460546 0.1002351101102836 0.013737451996172467 0.01188555401948739 0.10369881555717914 0.0061632621454665486 0.76645795375604719 0.0042201759208866747 0.1025032033586686 0.004747805980742285 0.004187911000104772 0.41928238920981209 0.15907936370918141 0.0044078908615676777 0.89439178582288903 0.01469351887738763 0.0067684191031916474 0.016659788946566608 0.023690704666821549 0.0055455771085944836 0.30060233976588546 0.37525329806477825 0.39758636059399804 0.09470405823009713 0.28772725848478475 0.17662035095159614 0.0082465210444097135 0.084811254845314224 0.20261252397960583 0.018699119177611655 0.21795433806701095 0.013999009165316673 0.013845810716000955 0.0083833919194595402 0.003159592314265209 0.45928180303765703 0.0050796507073884497 0.0057768172966971634 0.0021577272612115679 0.84873899381679663 0.092308867926527094 0.0066124630948190951 0.0047973188679530203 0.003663261922754867 0.0071460121951837114 0.17651935144805109 0.20150977890257082 0.0028881248160946846 0.52348974964425621 0.45312057965527291 0.10765987949334811 0.0086743204856280683 0.2454035304501449 0.10907947863652236 0.013971958980612762 0.98241823901213921 0.77598396469740072 0.004848931734327452 0.51150078536875743 0.0060245496253561867 0.10024987456765369 0.0025238173328556929 0.0085655203169348257 0.0083319369888889914 0.012985723779580398 0.084197746159724141 0.086953299158572875 0.0091042064637007585 0.65439499830868253 0.85447995316865866 0.70409625960485878 0.27779961824216265 0.71464458774940609 0.00414631361198467 0.0050807443558389606 0.016201179477717882 0.91957994805330201 0.0026730051316401454 0.092666174940025534 0.0033201665405066709 0.74424812800475137 0.0058658003151070906 0.286600435842429 0.018240138302164737 0.93883342815176707 0.16313814436998725 0.2681314925979329 0.42675977474027066 0.56024309250722326 0.0047482510739926924 0.0071155755281234008 0.013089782716932234 0.010164478632348255 0.0079639903213611467 0.0037115277977168466 0.46092292326901246 0.0050686023713025453 0.0023108775087941689 0.016188356836633486 0.69229189776910149 0.0065588995236583285 0.0083975868460810232 0.097175179348899896 0.0069442568703428076 0.26958786434440257 0.78561867827489151 0.11870768401362408 0.002789571893192008 0.007747191401545804 0.0084283971845236193 0.0023136599092646874 0.011460368314637436 0.11990480245793565 0.020337528266761343 0.0032088259986621679 0.0036161282572505804 0.52528988683548006 0.63170310710573374 0.0074767198973666165 0.0077248475846534844 0.29087462523833812 0.48671300193330819 0.0066584126043935767 0.0062673208549914273 0.0091792922656475529 0.0075207522597465701 0.0064792974195951297 0.0026572934980263639 0.56640446930066302 0.0086661716980755699 0.0091942622613052135 0.017171950380213449 0.016340851982991979 0.12540522762708003 0.0048246027482364119 0.01077758601957878 0.0029658475628258482 0.79272760336839354 0.0018105088066579832 0.010158949189841527 0.53135961517305863 0.81514097105068473 0.0056835846994755463 0.0082644095783474952 0.0055805534559293987 0.0076525292054630987 0.0084324882787353266 0.0063114588964658302 0.018345365210018828 0.0038726528418423153 0.027116176249136537 0.025971795727460844 0.0027334949876341242 0.0039893446600257447 0.0060901706573851487 0.0026069365446046676 0.0039070365757850273 0.0073531472267005281 0.54011857976735844 0.011604689347615191 0.0041952791911485142 0.0033143880602219504 0.00193177117749488 0.018329342371146862 0.095522771902229089 0.0031015152594938348 0.22351603776254514 0.0030433118207668581 0.015199623480428373 0.43371166381910908 0.0060144434264791753 0.0062996799577857941 0.10032048825727116 0.0048973083576192566 0.0038004144874409971 0.0044233923994865332 0.0043141754301611957 0.0049274101170324195 0.0064268916284611092 0.092440045172428112 0.0043052250200248882 0.006275189400391506 0.018337821221760465 0.26423287226218789 0.73131700815250467 0.18094253917443667 0.0036346103813575318 0.89580853663584137 0.0062930805065960441 0.0076041159594135276 0.0030569164647275635 0.19380276028789006 0.004306817884288377 0.83633666437325305 0.044145068832084536 0.0062755770683808557 0.0025617459732717174 0.0032564447523974484 0.0057304908550828574 0.0054762499013598503 0.71938369107161548 0.86102158847374022 0.17030847720610717 0.006974297433695759 0.0036697411586787427 0.64532396273488779 0.0069598131741433391 0.010257971553775259 0.88611723963041 0.25558884099099072 0.099584835000484526 0.0062436537632986726 0.0072604906534561144 0.0028619207720069796 0.0020548639331564914 0.70044425510036312 0.0030691979629886186 0.79970942544369727 0.019689382050071765 0.18619217277821687 0.65720573912210956 0.0086631546959041721 0.3681383308569588 0.57007251209161236 0.010554049443625759 0.70169077759305121 0.011198946992270978 0.029605104907832552 0.90371654979355598 0.012022116695918504 0.18507492448703572 0.0078180622660125008 0.28761380138061882 0.0057836690246261448 0.27359901366059619 0.76539946601491371 0.44822017598511921 0.6929506052294212 0.0069243689410656388 0.0062229146049331968 0.012382795858888185 0.10051697238033042 0.030174975598849532 0.0028955515698160118 0.0063202460692242841 0.10132022406750642 0.0079693423966953926 0.0031328415648738273 0.008354717723792076 0.0039565795164656333 0.0028839991450013021 0.25450313738762542 0.004376591563287938 0.017911405538828525 0.55509815714155841 0.0079131235022610377 0.0033863802902982911 0.0054158418619754912 0.012582285617054007 0.012292438977476623 0.095755833966327142 0.091332827806554329 0.014539994112677337 0.0028731033558529765 0.0078536264887774949 0.28773237039651206 0.017614531474082162 0.28590945414177393 0.17744861473040316 0.095402901932976056 0.41796152266549208 0.0065484016817001726 0.0091002092766623681 0.0038383794244995634 0.013830102591589503 0.0086984019730460896 0.096362830558427315 0.092197047375571384 0.8031717790823022 0.008967513432958046 0.0083764611384927867 0.088137513822789948 0.0040431904897829211 0.002030808744066841 0.010104044440476915 0.0038334955295175263 0.0034680780949700963 0.0039365435316483137 0.15024368691414197 0.010182642200851827 0.62455117511340885 0.0034280071252650833 0.63321515785832283 0.0026242279263000859 0.011380846289824338 0.18929701756287232 0.0050044302563561896 0.0037120128708265756 0.61632826866484869 0.36036721836123919 0.10447049143865579 0.52463733515828193 0.08973541154719207 0.86226184461863553 0.012215408513500534 0.0023207640230518433 0.0041455559046682609 0.10865556044388938 0.012702128233146301 0.0048014198062669294 0.0064451707531655491 0.017663807745652321 0.0092131570098996831 0.11416984621349134 0.0083965656619809717 0.037091332431107203 0.0043219961300499082 0.098280023607820025 0.18669911489724134 0.0079298806891256336 0.0069465256410185345 0.0029510615869609838 0.003722156523344412 0.0069562526966691829 0.0093116043050035027 0.0051894885156275024 0.10277563020676395 0.0035539820835492819 0.0036585208610085814 0.51209779066836536 0.0047427257206776059 0.88490499095345343 0.28840399048793974 0.0038407867890238221 0.0081605104308785786 0.0060295413065561574 0.44856584708920205 0.0067589921033463151 0.0086324851999597298 0.0030654127232962319 0.012793678681114171 0.086147088003881725 0.0042625639223135853 0.0039770396960827886 0.0078552039321300102 0.61903899640321702 0.012051593076847326 0.53371010567998534 0.26858463252112519 0.0053555426073439577 0.74336935345844835 0.17873243315326881 0.0038622584709706326 0.09092478111180563 0.0040835816345655262 0.097409366471375075 0.89882411159219611 0.45839027274733962 0.0085140788226549472 0.4684941711537941 0.0043200770537940528 0.18690975703618348 0.0048989496673854044 0.004659606131949154 0.0076254860676063328 0.0076610044578074958 0.06731337032053894 0.89670805951161636 0.0073879187389137985 0.11690844811931421 0.010314708572628823 0.0020392696849762621 0.005036367044583376 0.51851727612918952 0.019412876130238794 0.0051905437366181776 0.33013868200922447 0.79971880211323354 0.090912430140750206 0.46369631299533581 0.40998708684997143 0.0065024614946260478 0.0024378850768350365 0.59910280591590948;0.20434922106862585 0.0069132777655956214 0.013038460945122787 0.0029152713512191363 0.78326033880731738 0.0097161435096420872 0.0067828149065232652 0.0041826026056759544 0.045148610671582795 0.0079892244723546012 0.0092462292927235849 0.0024311893881077602 0.0040282193918986589 0.04252622000785402 0.0028032315312221398 0.0042405829274055912 0.0042797747685030026 0.0069996641581090641 0.98190720440455137 0.0095459242033619773 0.391743699023829 0.0074761804342024906 0.4050278755192645 0.0039018332270860634 0.01871414609029794 0.39045707176959421 0.002202421135691321 0.40289261740710453 0.58487112701094612 0.001530165281888155 0.96071939669767359 0.18972841633906418 0.0020706517209429214 0.1903758840536493 0.011184497490243007 0.5795150942412628 0.020031466455152955 0.4205623913206547 0.0031244266664045284 0.3942582672361597 0.20181856474828061 0.39473654170979894 0.39984607170806891 0.0028546151064159377 0.2185729025563278 0.59661910020130415 0.010933596487988593 0.59769032575290038 0.0031794236900813781 0.57794675794653161 0.0018323545865540926 0.40726905018585335 0.20374674906609422 0.40117559007782594 0.41510721447018339 0.022735720667993509 0.0058984076125104777 0.59519401796092408 0.0060391579341378017 0.0061954700113668031 0.018193753072455528 0.44135473911788448 0.20753796560452403 0.0020242138141758495 0.17789724284021008 0.81306742600586057 0.0057083837717046247 0.0070722014040097494 0.61594823426250711 0.77323522152414947 0.21689788080808603 0.58089185058254345 0.0070159719043954624 0.0034297595875663555 0.41014073844848897 0.0080462669716636903 0.21898493847760922 0.0024379814133640332 0.0044031978420164767 0.0029954234066336028 0.55625307333716312 0.0089227531668800951 0.0027062474508403687 0.0061339056089969209 0.94659350064069858 0.21046546148588899 0.03489239881230613 0.0021606024909710856 0.77203923764361193 0.0019078530112199765 0.0043794271302321566 0.0029285398062431902 0.011728018411149448 0.0025105261124598716 0.0027568007016647634 0.00240827883479889 0.59562248961571795 0.0070393547529769259 0.0081484468574643393 0.0082559709065100489 0.010877021881880583 0.39488492074134901 0.0082945970927982872 0.98568958479717106 0.61642680437470188 0.0038885235750378152 0.0033858550223802948 0.020616195184529063 0.028731820330654533 0.0048472514548762342 0.006070006029641084 0.42722593345120019 0.0044954946395622392 0.0037544525882442083 0.0022054443002156349 0.015191981097007506 0.19628518386919006 0.0074742661105929049 0.0029386272005299807 0.0077089734956113454 0.011134844146519076 0.40515704430676547 0.0034230730768239487 0.0021841767811142795 0.49262539365702546 0.62575811057799857 0.0018969730895548789 0.0048710068731345618 0.0083437242545777428 0.010495996946032746 0.0022076116959806572 0.0065920780983317901 0.98598217343681815 0.39981006408100245 0.0043605007282146507 0.0066916902157263675 0.39006245560524078 0.39277878544748884 0.0043078567795901959 0.0055113060780985802 0.22152300597235414 0.39588819310797257 0.0061661691903247152 0.20992832351143789 0.95844599094036198 0.024124786928301611 0.004053633005464484 0.0073713873533367419 0.19368902786130401 0.0149349924084171 0.0041906481589665118 0.0011636900122611448 0.025669567452018899 0.017177470083725659 0.0030972582641317164 0.23410929755679141 0.7935670024159085 0.20177353264420891 0.0032243994832950049 0.0047942894862104133 0.015329790123227743 0.0046208755628350164 0.003423906467783352 0.0054116995281379898 0.55629097089506918 0.0032618374864760396 0.0058106589389690889 0.57502441446672803 0.0028897578592259861 0.017283995876368776 0.0073649162224649137 0.0018689241238987269 0.002417731548520285 0.94898649372350152 0.96637560072900641 0.97768790278343887 0.0013047528176250826 0.0040516917489789583 0.001700050681283007 0.59151253714027119 0.78841016379544371 0.0027735061417292033 0.0061800811124141227 0.0015256554349899489 0.39470261465555545 0.0060316909299473268 0.0039699173066889953 0.0025567805741518088 0.02450725163187592 0.0028769449888909338 0.0036726491518346074 0.41667391689818228 0.0031917440409072045 0.0047227225674855936 0.0027990905020522155 0.0012072052806041018 0.0033059077422146078 0.78213049537749857 0.650991799589835 0.0039490941727375077 0.036249355309153047 0.79370741265342548 0.003371046991945981 0.023754412751238296 0.3941830299826648 0.0057873882638896862 0.0029140962157586194 0.16112759924972508 0.0093515129994749969 0.022533097151339991 0.58837859361021638 0.0041714242033308079 0.57198688408557019 0.0024495319704335968 0.42126674886637144 0.0094170431311327851 0.40521340249103499 0.010330643412569595 0.016991145703787985 0.0075750629289621048 0.0025592381257349929 0.61360459035349157 0.0027826744390952755 0.0054932687224467976 0.23473916527817482 0.0048508221978728911 0.0023138216835438502 0.0075759725567320496 0.0036463930387306627 0.0027251367437383244 0.010399456991009332 0.22652273273004572 0.0020196264930051754 0.007127471082815218 0.010272918394094447 0.0038058740444631783 0.40066252555773479 0.0059795465176863986 0.58485196102845549 0.94764125088155327 0.0074860504787626625 0.20262991695754373 0.0064405002435077253 0.75651325643205625 0.016675421965944549 0.011269914338656902 0.40337653620069314 0.036194642894180812 0.58943948096762844 0.0043710540538839807 0.38837890150602317 0.97298317106267129 0.0039612023780077662 0.7843379536510573 0.2046312019775586 0.0061433253402641188 0.0053613537775235838 0.21007272203947314 0.010570570418548808 0.013351466057241764 0.0027851000881577437 0.76407296631214228 0.010025351429930985 0.0030506608573079449 0.39056524612956817 0.0040573473538788761 0.0018297043000308824 0.20038753372717485 0.0071820472749838616 0.21779835563753425 0.80123731719443125 0.00585419459256507 0.0026677264632835283 0.003307766005802285 0.19902335837692398 0.017884522412354595 0.77223327765092653 0.0021051108597553688 0.01276756590110326 0.001623730014180495 0.035458762696844601 0.0036434706558575794 0.031650945208417325 0.0068011123652458932 0.99384148388349114 0.20825262749343726 0.20726323437969968 0.0051522518403673634 0.0015936008866058457 0.0043712791823914566 0.003218366879016971 0.0043680356076559301 0.0027387086032786595 0.37428699788656561 0.0029021751391629588 0.0027965680609833153 0.0042462772219773208 0.0047896491719745145 0.0035148721570357894 0.0032407606185978575 0.38530103529595061 0.0057330789320865893 0.37141080311237873 0.0039080901044262241 0.0056314896332475307 0.0088886919009737112 0.0049698624054789441 0.001498205621080672 0.96257604479290437 0.0032909296151888523 0.42400713439396059 0.20427328352559512 0.0050524879768079553 0.033124652153630925 0.75948597754788028 0.99275958516265983 0.38794472791314377 0.0067215700709073109 0.0027748988166678857 0.017840323939801971 0.0047147551858518965 0.0013527333379718389 0.0033008897685615265 0.57257752521167404 0.0036756001773121756 0.0035264380455500041 0.0046811549638879121 0.79082934554406559 0.0072528887587178697 0.0039504235968367456 0.0038649973695571243 0.96167971901518168 0.20893684749734398 0.0045617980541239767 0.97521174930700083 0.0083949135870751736 0.0065085105659104551 0.6370304157123543 0.0034493866915800038 0.0019363616655564506 0.81304073375900188 0.011213866246211795 0.20215106796412513 0.005820089770569155 0.0027320208751879928 0.13775005120449943 0.0011453878658640516 0.98676657974699289 0.02204195110445431 0.0035562607461674519 0.0038505484897347303 0.0038802849358589779 0.21627687648156102 0.001988626452078774 0.40808133517666312 0.002689989318736812 0.0071490327185509189 0.98232804370688198 0.0067448925062407461 0.0046878390136306678 0.0035561827175840327 0.3919935646474928 0.0023096858157781916 0.0035826508121478795 0.1723121146966293 0.0059234720303654063 0.015934330435896676 0.0029118045124423507 0.0023855238367187989 0.77750036576044002 0.005477123010178735 0.60588137389375218 0.11541566568269973 0.79090750696922596 0.38640767276218652 0.40591164212193526 0.003819502932564508 0.0048144994551816232 0.40194386522089898 0.0077901060052523981 0.39595620517573749 0.0068212292404573396 0.0066866619392071487 0.99255685216716305 0.172734570491475 0.9896944688991639 0.0028964921790914032 0.0016453485345409215 0.0062253878901717841 0.064701531699742382 0.014117047256964471 0.36170065364308523 0.60115988040025259 0.57594551494981772 0.002108241426844213 0.41479719085934136 0.021344250875545395 0.38846164223338153 0.0013603932870145299 0.043795365739238035;0.004097026576220672 0.0093057899302615016 0.7902433614185651 0.0065891400209906401 0.019649591539495456 0.015705364485099939 0.025616592672935853 0.01358093671870462 0.98037520895081487 0.012881960907831891 0.0071114714424765253 0.0082634451171312833 0.0056517722853641709 0.74837713785015669 0.0062199274915591962 0.007502370373752126 0.0031590949685025766 0.010706877962949373 0.14863006195952921 0.0061583500727867618 0.022400122647566925 0.011582075442776028 0.0049093984436708767 0.010195999839291708 0.46858095688329726 0.0050771274872726405 0.01025291022463252 0.31749313127741141 0.67660800340315275 0.0035328216918900828 0.67032931636836446 0.0045508699383139811 0.016348173738848205 0.0077189004954425974 0.031866844805111511 0.97253694990314621 0.016221767506408476 0.032829661374774249 0.0066423505172826369 0.0039600404379283661 0.006178524626828337 0.15110039975183831 0.012153303659617525 0.0029323383210620641 0.48794663361908713 0.67740626427154338 0.0040478887296873127 0.13525572965972454 0.0052410025037057384 0.60926871508328806 0.0037570735499021686 0.0067021486423331448 0.017170374527679513 0.010811895808896365 0.68369694646367685 0.0047031480361006362 0.0093180003039750464 0.54447409068344876 0.016363517679347649 0.0065295493273236568 0.23122056969625349 0.015918031313563532 0.015659308509304182 0.0035807192324346549 0.021049616873323053 0.71372577062564724 0.0088773920982802811 0.0065609373295744998 0.13647701264725831 0.60207273962027286 0.024779692185903111 0.018085812540709654 0.0066647168955092312 0.0047116185458032705 0.25575562815229635 0.0088654397634830989 0.45943217189809366 0.0041216347484084037 0.0052708818240160063 0.0039464574964730593 0.95092006893035541 0.0064117224729076695 0.0096069917819461004 0.0060567272431078147 0.069515725636585785 0.22072566398769286 0.011493821817638337 0.0031810017033933103 0.47922568003819283 0.27007393747786429 0.0052859571033984677 0.0029612611983061937 0.11072790604623349 0.0057193891716296949 0.0035452414074745066 0.0051040578603797505 0.011187966405835342 0.0094696882325009286 0.0087556823025408785 0.008864297058875651 0.0037454849281662516 0.013415439801930426 0.00917524202835787 0.96112428160476193 0.013790566039675677 0.0055324848551006776 0.0066115611508080051 0.18355854705606589 0.63957523638507274 0.10536219048677803 0.0074455074298144077 0.017249935348505194 0.0084246804103333926 0.0050913302562079141 0.0072408264821920976 0.0066275432515194403 0.40369300982876177 0.016212354795705937 0.0041046565942660668 0.0086415863904719739 0.0062374916365145359 0.0035996055768618769 0.005294813219642697 0.0044798406657856997 0.94457618412666944 0.90259618019154109 0.003692937443962035 0.01763543887308551 0.015567059553127713 0.0018634960776849592 0.0043613596631422082 0.46552782235305767 0.74367381887424022 0.022169777155402158 0.0089253781812786495 0.0081825720423000566 0.02803347992622459 0.029311322356495993 0.010839199395731162 0.0063424631214155308 0.61066343597456041 0.0061359173653699681 0.0074803707400970115 0.0050440717912159146 0.14390620801412957 0.94867164017760319 0.010156318818812323 0.12919471490998971 0.1632081896521454 0.014984403451128163 0.013999532025901117 0.0065072133453401067 0.010828239282866243 0.01555894942103064 0.0048179276426287025 0.84127742995575538 0.11146844375859918 0.0057675809501056465 0.0079122522209501174 0.0080210312923293722 0.0049669529109829802 0.01411210740542417 0.0095163266729927157 0.0089895582769329296 0.49689910850754454 0.0046935260091589878 0.0045396519412965507 0.72139182702761606 0.0044192745584946454 0.89412133770882862 0.02475753575847614 0.0045212106996699829 0.0043614095824254656 0.1969234618032088 0.043376119149782226 0.48499890970465021 0.0033417312602349058 0.0057176957931370162 0.0045674209389973078 0.013622359524707054 0.020842825782125905 0.0047860655417037729 0.005463916712646383 0.0055224767732870508 0.97314036512604152 0.011141496063317479 0.0087322665515911623 0.21190044967489441 0.010726842940764522 0.0049921088684204921 0.0087994799053412263 0.0057020473843017484 0.0057670230962075684 0.0062817276759075946 0.0082198800394466046 0.0027014243796109247 0.0060992591568631745 0.030526329362326743 0.77240685812824705 0.0052702652882001795 0.017872470557530967 0.012377999373669724 0.0094938204105863601 0.0066359758268543971 0.0042023025639680803 0.014663783709353409 0.0052420368049563276 0.008634575220143114 0.0054389081633239994 0.017119255250843891 0.010275236908778951 0.01308116232820641 0.0064005517929714645 0.0046551597494007887 0.010019685365028654 0.13198763992712748 0.01676189097499195 0.004372446898363953 0.029632240797116932 0.0090446267831126477 0.0046005364386605459 0.027759434053127585 0.0067546815036983012 0.011416874194652748 0.029165968483124406 0.01384590928953993 0.003945226821991183 0.0092254088115717465 0.0062776430600402829 0.006400382324751314 0.017051375743349109 0.0076940915270044975 0.0081664894211709946 0.015407599026667183 0.011217447990292624 0.0035414338141009278 0.0070180257105433488 0.0052422893478084754 0.022652349688230655 0.22878162460043816 0.020121816591332675 0.028966206352252968 0.0051805461352757761 0.033056680015026409 0.01331358779855572 0.01660679462160633 0.0095946187528118312 0.93224387915377149 0.036745562524636399 0.005632631439889688 0.55086935393516923 0.62685979543825443 0.0047876707101884887 0.12243895150577157 0.012180502547707554 0.011408486536818601 0.010000111546278006 0.006451013907530511 0.0082147951572586544 0.61754659126941258 0.005072364434077283 0.021488702211145433 0.016403989098470274 0.0038554575207389971 0.0041488754154580844 0.13814538011764566 0.0045684904525684156 0.67039454663249753 0.0035328635092485932 0.60716890125023226 0.25051591540646823 0.0079190903358719415 0.009922036096673751 0.0074093508994845757 0.018128330937135298 0.004961068839945083 0.029774681059781753 0.0040730965128368641 0.011518562975948408 0.0048580035824471761 0.70371721392205855 0.0078317391375876105 0.06529831515283599 0.012115778526427527 0.34542694974906651 0.73121337176052714 0.37400613784267667 0.007739726706057549 0.010270754714006266 0.0074380685301431758 0.014192047161990911 0.0089445493828201154 0.002554883121065033 0.368938189528278 0.2017282202375911 0.0041720378457585638 0.2520914881855153 0.0042319100441284459 0.26748685844270803 0.0046859218615611462 0.14205831013450029 0.0037196561946378059 0.038107260910067151 0.0057928726414955278 0.53918597501204202 0.0033805658384418779 0.0054403245853683578 0.0083121751670887194 0.019444464818560686 0.0028132035536602195 0.0042638615572794594 0.0067641517456199507 0.0041318314334275168 0.95128470246909314 0.026053556644017983 0.98174711699839445 0.016924268819318668 0.016835030141221539 0.0048596144805741212 0.0044997339898037369 0.0067724453821896308 0.0036263174545219275 0.0045697379497881153 0.64558137764691326 0.0059060998458685988 0.0040107838123012432 0.0051108721505661887 0.81953184145358282 0.0042950669595694189 0.0054061514428670734 0.0058573646654906464 0.14400946801717662 0.0377444635944304 0.0039993942852192283 0.24980569653885459 0.012352803237133522 0.0090665732310199511 0.80099634654602769 0.012290495304732963 0.018590990853978299 0.96893961676009077 0.0023165748324571979 0.0078015392373645262 0.0042423985707548927 0.0092440806329011499 0.010816556285397808 0.0026043175422786639 0.88722924857597518 0.0036105323511852502 0.0047467358105799905 0.0077629486355484268 0.012019061322136875 0.2422366831588198 0.0031146587557504862 0.0064261281176034545 0.004248529135329397 0.016023720026047655 0.72025505914495902 0.010201140765959477 0.00636949342230053 0.0049516307082857003 0.011585173077308029 0.0061597007076267599 0.0064803516174016954 0.96029469874064588 0.0043381956300706436 0.0040739697544032458 0.12240242734439356 0.011521754791972821 0.92358815347468781 0.0062915957188985237 0.019789737271390953 0.14731065588040865 0.30687194928695888 0.95973486023321319 0.015370051718285977 0.0044008253160588732 0.012957265648381767 0.016984396457195454 0.4376277308750271 0.0051750848769937623 0.0096822902040015948 0.004434666725445853 0.37216702405184887 0.8245437150253232 0.7165751905322908 0.0025124055582569967 0.0044136021652779476 0.005997799482334136 0.0087093509665349574 0.016723228812192271 0.02560505464690796 0.20308399521431203 0.010994833366556926 0.004546482796904042 0.22241778169540574 0.016078737777926691 0.0053890329003181518 0.004990919893692632 0.014432815689321215;0.002894661003987423 0.77285356128053373 0.50066108937151288 0.0066187375193384052 0.015647156832607607 0.0090485176551132508 0.011604141660516966 0.62289847904916429 0.21355001542089941 0.014813519894608218 0.007253781006935911 0.59483219895347161 0.0038894529820815015 0.58613547978505343 0.0041116820696560467 0.0071590136974216175 0.0059335151413454374 0.012239524932378943 0.78267708665560776 0.18975190854263635 0.19779675456839513 0.025252024701796914 0.20459936992262312 0.0074908291665554509 0.6886423549670847 0.0043667698884360152 0.77211417283407213 0.008234044283606445 0.0046194199961872504 0.0039889257875456901 0.0036260743947508205 0.0059594280866753814 0.0032022238155320851 0.004421831830486625 0.0064827125127502909 0.58488607893032718 0.010337378468761109 0.35481420036945543 0.021468428451949302 0.0047951200344034731 0.21096300542197968 0.39517478803666517 0.5745664016515265 0.006549730599272878 0.0050356733532478165 0.036109796246325467 0.20725137777359254 0.95991009085911871 0.56827754926479446 0.004695350089620986 0.0058368939120464246 0.0028451734373478115 0.0080189165895637425 0.22855073989875413 0.0090930295768687341 0.0063657879596611729 0.94212481057322139 0.21454597586678906 0.013337755392183712 0.57672420436497307 0.013395547623448259 0.56032068626050735 0.0033264756203727299 0.20029016998153129 0.9686381746258812 0.97786829754449922 0.0093190132474876355 0.74993261195554384 0.19947735207891992 0.0074434537533599465 0.020926439980475962 0.0084139691980194258 0.0050076751652358862 0.035777648279952501 0.0081370726176094397 0.0048888524327715364 0.38560513398315632 0.017374113098073643 0.0090855675332285925 0.0208959610928162 0.96319856882663646 0.01801556192383974 0.01845773872075214 0.019000674800661182 0.0048909900451294432 0.040738061433461897 0.0053791235965631084 0.005286942870098784 0.0072487747111522026 0.75793354393284262 0.0052008120503592922 0.0034322810421728561 0.00542795967556578 0.0023837496497166365 0.0036786865780458321 0.58721811329383999 0.20343130538744958 0.79514578582351503 0.1141328870603093 0.012885245009271074 0.004682447583679643 0.0040228626903145541 0.0086855087026187876 0.0047831191754055796 0.0048205808529823268 0.18512223404987688 0.0061867833707578736 0.94372139343063965 0.38327762531650561 0.17564239280805904 0.0034387459144374897 0.19869764662824538 0.0062320112240956951 0.77342429442232685 0.87333209745055562 0.0070372773671588135 0.016711210288945871 0.010744982224421572 0.0037965761838057209 0.19457360812267457 0.0068112236202832622 0.0047068703690413159 0.016024262190621856 0.18610474370288543 0.23040104673284739 0.60184289732802088 0.011298161547426423 0.026926317751401467 0.0053018909833752285 0.19117606712820234 0.38286409554577827 0.032824653608152204 0.041264111704916701 0.012301385662785757 0.0072203971375914087 0.0048609885536650046 0.006737375398420363 0.0045005296807051022 0.004995998377593399 0.0061328030074610899 0.42754557078319566 0.77497904644231963 0.0086811888435561948 0.94076583261366653 0.010139649851207133 0.0045159537169501751 0.98533499431551119 0.57764677182470459 0.0042679645881106782 0.18865115067268196 0.010207728611681479 0.22163196501881366 0.030141449823086013 0.23897422528194204 0.0054590513549866836 0.032344792076060981 0.3850393542175316 0.02172441240158994 0.0029641989300008783 0.58523249364034036 0.021937508544858597 0.0092368844208424537 0.0072858628313793843 0.0094790369556396643 0.16640850930857531 0.0063280594156489766 0.24026380387855406 0.010157227690210494 0.0064694641696918121 0.009080169402121023 0.0039823582299071229 0.0035454655108195471 0.0053102521913350239 0.0037618077208742022 0.0089140751032409822 0.79150213120332569 0.0025148636111765512 0.009728337894509869 0.0060790722032934719 0.045975603931908339 0.10154685322043169 0.015004446548671958 0.003583577672527585 0.0057742542937251826 0.38107634118423594 0.0091973668326636275 0.38060887588087938 0.95993956671478919 0.97286465400209732 0.0040767610755031583 0.63563404269594537 0.0074658460459443594 0.0039090100436803381 0.0037556805553272117 0.75789502126455277 0.001859679650238738 0.0056472040808233466 0.014221000411072498 0.45485856760151533 0.010098614182568612 0.0045493496370618411 0.0081203716121183347 0.0093608132206482696 0.19128855350414686 0.76573203830175851 0.0073265228152794562 0.0066190525707676877 0.0040404127787720704 0.42608808673814336 0.0057003371599412241 0.014198410924627872 0.0062498641918177587 0.0093414210868424524 0.011782429933379517 0.0026710811091943849 0.75748814609426285 0.010883390005167123 0.007957229368674856 0.051142745876370979 0.02381573625228851 0.0068426617076497703 0.0077634917609319676 0.006349522912506571 0.39103362406142594 0.20811806039880626 0.015404362803941984 0.0026122990238406389 0.0026302280059273546 0.014530789926296261 0.0027395779221207573 0.79031155869843239 0.3796631757729646 0.37102439351767774 0.010497212807572841 0.013307144667343302 0.7362088792899083 0.010134885825695109 0.0091634340577925431 0.0066919386406181867 0.20894737297561436 0.0046712913829438677 0.010796468323303755 0.0044794240570647653 0.22599865252825563 0.01347445852318393 0.01033299379415191 0.009811319988269571 0.013823208264041584 0.60498675474723351 0.018240204576408105 0.009460006551392456 0.001300447109500575 0.0047243996580908342 0.0083981215896383136 0.0036092935928513795 0.0047076410891184386 0.006277106079264883 0.019724757479192043 0.20264509471639339 0.006212338721969279 0.0045603548411418393 0.0025502913655079708 0.40958119724951109 0.18779546815782039 0.22348164702543272 0.38915581339005351 0.029196770788806104 0.40224232099143076 0.19523568074986736 0.011287118114307765 0.012099322605847704 0.0048377874980769326 0.0056192798753839923 0.006970614812052525 0.56829956739153054 0.0056014769436605293 0.014321284869429894 0.0030009092287834136 0.013207920819251418 0.0094540321444314852 0.38164849099965387 0.0083906368021738984 0.98616236803590507 0.76579311067120437 0.19750244308570611 0.20627699861726159 0.97914297280720597 0.0050040139620053754 0.0068356394811416726 0.0086130026311662909 0.0026773590271888751 0.59564786916129975 0.018398913365515104 0.24657488559903998 0.57229815587971533 0.0050334393121424237 0.013285772065981485 0.0046975373825857217 0.3838549223595451 0.0085802909304108776 0.55783857916254653 0.0095646003093149586 0.22087018432158889 0.0089947413100980103 0.03033702238843583 0.0077898296444005961 0.0055345327961012327 0.0021099059436766061 0.15155051715553181 0.0088142840903401021 0.00301093121198104 0.01255950609491116 0.011044691201661221 0.1938981517727533 0.0046783034520257918 0.41198200856609007 0.0040817265913854787 0.0037531296522041492 0.015852867861050807 0.0076187651646299776 0.014057471325790674 0.0027059886994749991 0.0041170895253571605 0.0021096011165901768 0.0055530914576623147 0.015735762306854646 0.0038225169532679158 0.016187318827763687 0.004103811533213716 0.0038816685926943246 0.012207121385121904 0.011892018611015409 0.21761367658896763 0.0056541401564747162 0.0050614525577314107 0.0078590941198878692 0.0035683384414230681 0.0037097459603074728 0.012566944777995425 0.3862652713231392 0.58478625275589102 0.19823708189634132 0.003936596687622293 0.023009254139573457 0.0054260372501099725 0.21354470949446402 0.0090866513379998272 0.5801046473331718 0.0047368474204104519 0.011969713971356832 0.0057434806268764436 0.0091961502507808789 0.0078151054410833653 0.0116937091811839 0.017427369514045193 0.0033866497508591069 0.0060178804923353511 0.0018392345856620531 0.32050364458404074 0.0080266713272395835 0.0060443022171847317 0.0086999412991153324 0.0038868239527301788 0.58844018722308034 0.19740790674473066 0.0094003834144405756 0.0035995798852329272 0.4096993238891613 0.42034525672204259 0.014160077962667376 0.97138000603333197 0.9616174551803488 0.35274641153394914 0.21636566993607637 0.21991643356153207 0.017099092675748051 0.0039464381500889881 0.38927080906001488 0.41611043487229438 0.2119036709454088 0.20071209293577397 0.0042543221490618293 0.0089165323458606019 0.013742111474634715 0.56153253054257501 0.22436126951798149 0.0031745095492617592 0.0054549802798446335 0.0072653990110684505 0.0086299713711681381 0.0078688213441837455 0.56309089521660183 0.58946134577867948 0.004391506843327635 0.77129523560214364 0.0028483188817734055 0.0047294136730562982 0.0055889347379469885 0.0037605709283613032 0.0035708224891949237;0.016176863536380849 0.35210501320662391 0.62924527767398852 0.0075658962385984942 0.50351588629899269 0.0089181646026106325 0.38936109973380645 0.14812422804236702 0.5520806514997757 0.59489158617230864 0.17386521997556773 0.012891461916065215 0.0081697637240515861 0.61580868096183772 0.0091014380136002476 0.0081716116224678486 0.0093876519466346078 0.022518608849307079 0.23611492680236415 0.28126773144176581 0.0037386131962435665 0.25132160388969804 0.0058084870118112848 0.015160501409152434 0.23908728329762888 0.1468420787661312 0.011839008284860696 0.28306294530801801 0.14167488056146721 0.32100783837736918 0.099696533104351198 0.0069129139613107824 0.0053267327141898017 0.013693861397722426 0.019834417323551571 0.15711911492351988 0.050679234062501792 0.36619814434575737 0.17573131976674275 0.056688491801734422 0.0036725765880477519 0.25568745429508227 0.0084700597728242961 0.0051445561258180589 0.24094566117821123 0.012824402322421491 0.0048716759606213115 0.066883263618959798 0.0083331065199920215 0.011419401641876237 0.0096394616129899628 0.10757086676373201 0.30889535086013742 0.0096933884560965623 0.18776454054124245 0.011858501570675025 0.20160007571936142 0.012524654717624414 0.15516240549535343 0.0079744263837939824 0.049877773789913198 0.0052897983248406544 0.0093016911212382737 0.0093486452941431777 0.47759959987758316 0.29924327058466677 0.0072073012019005398 0.051086455988547039 0.058300646927753157 0.13377552784036889 0.38195426003841954 0.052219187482798746 0.049810622650055023 0.054684874735256003 0.43416609072437434 0.022859288007520524 0.14738138304508136 0.0090710633148248024 0.016811148601988034 0.0059581884496556353 0.10037252503430799 0.2340940343694487 0.54714506449843392 0.011971229750657801 0.06222254800225957 0.10032212075859941 0.10215267664277339 0.0040742704873683606 0.24162500330011646 0.020417272845273948 0.0038015435273135072 0.14302056142152197 0.34419687623441014 0.047449296806835232 0.049381708927732068 0.0051497243621499225 0.009577413048600535 0.0062507200605367019 0.0073391632268145629 0.0078647950824898803 0.050908402893764859 0.010458777276697723 0.19607820740215298 0.31397399121708397 0.072353996809337365 0.007960678074790872 0.0063499746247587946 0.6211710034696809 0.056912277919749343 0.59738539922675082 0.053260186560015806 0.14401430369951793 0.3793867297542205 0.0052615223420897639 0.098111428204419759 0.0087966780140088779 0.0075311010175092719 0.42401192222917328 0.024711822359725466 0.27014737032409158 0.011336496065833077 0.047766221912474566 0.06887943698701196 0.0090786306165489619 0.19220459570321805 0.5969393766212856 0.14680333164174855 0.54954411413216797 0.90299446185546595 0.0035170911187967857 0.0076764626257988591 0.5474984562687143 0.61002084433615034 0.058557658531058876 0.0071088066331921251 0.10063036646183889 0.10724310372079927 0.37383956505309396 0.011856394376371111 0.062885560020105744 0.14873059653626697 0.0057043881687555142 0.0053837918850242064 0.007204824248775589 0.68329061963192284 0.23607799093105039 0.13776692772766641 0.38721808154839521 0.059122326431912911 0.49803566898520302 0.27740604086531634 0.053425736537990494 0.010860239209876983 0.0079970777282947422 0.006122661347273922 0.0090657446327895366 0.046704476264532648 0.24075054803375781 0.2120974729223592 0.32089549572308251 0.0076576565933416611 0.0087907829726106765 0.14897805593382576 0.014315191710052771 0.096461589680614135 0.0061387873230273129 0.19542809317540141 0.36471708205701436 0.0065814439725114613 0.014822796777131589 0.7462602510087073 0.0076434505299682737 0.258558582912781 0.0098841334968027827 0.24698290476085599 0.01469156571899119 0.0098910515412233592 0.0049226145750773118 0.006313366449961999 0.0060408038283559472 0.13470104618260176 0.0061261686115664828 0.0064632252297695137 0.0081267506487619594 0.61614251438935019 0.012317744459860119 0.0066279671703561504 0.19615582816634103 0.19135508932297274 0.15200988829445927 0.011982376987898231 0.0059662373852259407 0.0075222079919073804 0.0072113805132680096 0.0083727377946386239 0.010714528449480449 0.0074971858692362437 0.0060977248738794034 0.011874850179440739 0.04923228238068951 0.0070981470620071138 0.0077967275140611164 0.0079150067839851169 0.1446079605067887 0.15159970608941797 0.33712322877036394 0.0063529217804806516 0.0072548560972019614 0.0043798054019486415 0.14080775792865793 0.18421325548655829 0.27797217992039031 0.0034912197510508849 0.14426081481017974 0.0070799574033662289 0.82376544030755416 0.29431887309631288 0.0040302522493060634 0.81961698413598039 0.40885476055277414 0.0067033980386183734 0.013773112939716838 0.016558256039595959 0.14317590851640308 0.10863839427108105 0.0071537297950693395 0.004768529621733535 0.055606219438901462 0.015953242363983194 0.032664954738043442 0.0050484020758923475 0.14133945488993935 0.0096550733265944148 0.07810416546832212 0.0063284388234469144 0.0048007650178721788 0.10662399514607597 0.0067799435335505779 0.19346303196699516 0.004692672631049527 0.008812131596276352 0.48413820625515191 0.0087219692491036019 0.09789827313172704 0.41353263032725801 0.77401220023070416 0.15669414347424859 0.020982040034752351 0.33140773300311849 0.0047533869767577746 0.14339402746776186 0.39014930527851827 0.23227645082313511 0.089577517521775257 0.0054604446198073184 0.018300541815741637 0.37080394264985178 0.48119337382991889 0.23153604415993573 0.13735194155021224 0.28416247368330649 0.056791335120894557 0.45937032819301815 0.33290897192767921 0.0038437780046281329 0.016533127049301679 0.19664422998008113 0.1501510208398622 0.0083973480779027318 0.22005008945249027 0.1463957446171455 0.0082731745846411162 0.5390991310043729 0.0083531761804470171 0.0071798755244760482 0.011233431385456046 0.0075086755938904076 0.005709022089786844 0.7914332367699759 0.24732702198676224 0.011873111050662901 0.01341690124351143 0.014617007816476374 0.19012203157695073 0.0068420467585129843 0.17098475987731987 0.3250273555077946 0.008590368566899112 0.58033119737230698 0.0093478685141966285 0.052466431725435948 0.015954778153575377 0.14541634477095652 0.056595927963707576 0.11157412725058068 0.053759131099866325 0.83547162562962041 0.0062166136345655452 0.29493120298298375 0.0074726560661144258 0.42614716246598994 0.0061885907278372704 0.0056756454368413947 0.0049582550455130273 0.70094691064937109 0.0068493247100228768 0.010193155908507286 0.45509068365059702 0.10006718048173541 0.007859240374862634 0.0053918461945617032 0.0087099710511058318 0.0061113712288521638 0.3639649123941654 0.099442240843196722 0.7078490029204153 0.052718357057267178 0.067659807962458088 0.0095803279542984853 0.0086857608835833496 0.0092242701917078541 0.0061488192601660448 0.0047395044326816538 0.13704380689274689 0.18147096920374955 0.0042423680964037407 0.046002940586451782 0.01039276306205803 0.0039078703768691296 0.0080978934457303364 0.0074095406655261299 0.006596935697890118 0.0062454087679874089 0.0042970987566523762 0.013854343427733663 0.0070780684077476792 0.010862346297923129 0.051417302366620968 0.0079249719079396951 0.01022759573695018 0.077743536160299734 0.0037946965520241271 0.1841183388031056 0.0049978376306547478 0.2784133955499436 0.32419605653888839 0.0082695138630056245 0.4249897688048504 0.062582889216029336 0.0069811677287832559 0.0095233270121604999 0.062639603782162989 0.19107566105322291 0.0050410705700869515 0.0043327553889808239 0.0049457809385244581 0.011975708197823294 0.08024017213035825 0.010445488772582914 0.005753899616047357 0.0064489519078628358 0.4747226533783504 0.0091013899762534961 0.0095998751202820004 0.4281045193963236 0.0047658772061534857 0.013673514529713739 0.10747078210187309 0.0071885599205837704 0.30575830791468889 0.010328171710494168 0.24050731292622984 0.12814036989654484 0.82700837528521542 0.5383057912531477 0.06071090910275171 0.0052775438450499094 0.007605651607993741 0.011566163203889847 0.011485539561189924 0.0083330644158145402 0.0074869816508991507 0.0085404073091172386 0.08901737686360274 0.21717394537125129 0.31326777360732733 0.0044292645157971216 0.0068122773889916135 0.0088513094469967815 0.0221311646867761 0.051540717756452373 0.0068715331358070106 0.0074127997521200714 0.0055162793741427556 0.0081190107224936442 0.060853860628275219 0.097944415609210411 0.0046462359021115802 0.0066032209545405091 0.13821834378883066;0.0049473429102999166 0.85857540571006752 0.0059150320477621603 0.0049905425805003983 0.0074628250181845678 0.0056546757028467821 0.0042349005076278293 0.0081579193817109125 0.0036817136979831956 0.037592803566746151 0.0032129737675937573 0.0083846098078110953 0.0036502283451084997 0.067395111486845155 0.0068978032060196251 0.039087312356315101 0.053558024556049633 0.0035053916773529893 0.87250935291086162 0.0072952237266632972 0.77490026712699411 0.89359561229795814 0.037359822965732259 0.006280233739110865 0.78925088027478163 0.038483711445058494 0.01409021809365271 0.96124188663502663 0.016730709436932757 0.010130058160001214 0.0030218173740191212 0.015473127522173051 0.002486840782591958 0.0065362876940630657 0.0033984955690918601 0.02086013556454018 0.0039018663635113546 0.80842186596616405 0.0056117148196256333 0.0081031465036280337 0.0068441260852459378 0.012122529968098126 0.10819269409248392 0.0046557113710562455 0.0085247027356197998 0.91225470604181635 0.023435298287832106 0.94716798874418462 0.028421565240096789 0.018438642995007762 0.0050461893190871486 0.0031999664530769508 0.0039469944058208037 0.012923415519002689 0.87176323917988496 0.0050534051491043144 0.010289451061950146 0.04935152874151269 0.0056380504315294531 0.023035958706275551 0.0090070231735647158 0.83828962049454103 0.0039923687331002052 0.010756654425609831 0.002138244337373502 0.010240295494143467 0.0026112480364463651 0.030695982162092929 0.029031688217096341 0.013034589645961507 0.007044453381617335 0.012527684684804256 0.0046584145222323117 0.0051128348275226391 0.0046654978403849155 0.0064436957997524363 0.017342097444262423 0.94642298270813885 0.025479864244769061 0.041530435180040216 0.010999195443157809 0.0019756142689066995 0.015683940326087411 0.003419135214965268 0.0079269152932635572 0.0015930048288780524 0.0033723053007056725 0.0054422401773443199 0.88886949218840716 0.009595377138489028 0.0025122567395103766 0.0031787740929992772 0.0047117872010196422 0.03816762946450112 0.0044521309768286348 0.051180178237087509 0.020386326822018477 0.74999725491540026 0.0046771412751738604 0.0061630145001889498 0.0038169386023472209 0.0052299645021795065 0.0026431617236880099 0.014329670875045058 0.0053661450984774798 0.0063108558623148755 0.0037364148178960933 0.91718404442273516 0.0080308862631106766 0.0094312381890615145 0.0040510300853913083 0.0077940694474708319 0.0034471876795594842 0.94518456762879322 0.023237193410631005 0.0034607297966795028 0.035537470715864335 0.0043800070604703119 0.0040933046576273604 0.86642391242122885 0.0064210178918900291 0.016304530697155123 0.97253380285750057 0.93225656762536369 0.0080146262996571016 0.060500802263841406 0.94116676759376416 0.0074714690163919118 0.01777452424391221 0.0081386214156084456 0.043083338679843375 0.0041875397403237846 0.014305183625626336 0.010127156279079248 0.0033565562991949927 0.0034862744591710798 0.0091543386995237338 0.0032939633440007385 0.00703855772142089 0.0078926413366864432 0.97135173996936064 0.96465268906003321 0.0049813616536706932 0.91494074720875429 0.0093701114439298412 0.0045786961291260815 0.029916613163431534 0.034843797528512771 0.027760672217818916 0.0057663543966283608 0.019216530292240065 0.011401332126450866 0.91622541920568723 0.021040945074633468 0.0046267778900682833 0.016011252915663361 0.0035202646612882758 0.032584571626711481 0.0051967519925426586 0.011748069850157385 0.018367567967907124 0.0040265470037583167 0.0039218641579256853 0.0074099134206338964 0.0043040110436558055 0.0027878639670858092 0.0066312970536766339 0.0089579558313983877 0.12972521743992188 0.0044160293976565285 0.0067080434773067708 0.003762030433980699 0.95109194355714999 0.017189147879406442 0.0058028107993449837 0.01840639226018741 0.005235071002514094 0.88875970806904081 0.019950147216094019 0.89237500593825336 0.87616178861050464 0.89460717326057082 0.0047382071159395465 0.0049881782170707817 0.0083114988740154282 0.01208027169531666 0.012044202777051153 0.92201928993526283 0.81103003619669767 0.95161713138992765 0.010429113033417731 0.0037325105995192264 0.0028358130837151264 0.0048098528264794516 0.94381718949985671 0.0076910769509003704 0.0035802039307849852 0.84675654640251841 0.016311930299039924 0.0063689762220212704 0.0043894412768931603 0.00698738225739798 0.0096975590377604073 0.0043798163421260791 0.67535538380467552 0.0049002146728044588 0.0043124629855685976 0.0056150187949767375 0.044200379119326498 0.0024699185892434619 0.011684951411113653 0.0055150451963842289 0.87166669960352716 0.0029763331255422362 0.0075437234131263704 0.93873853360168946 0.0058175199548910518 0.024934660926960065 0.006675190144176996 0.0061174880575829531 0.0074985324558359814 0.0012937422781547653 0.0053581161166191557 0.029173446195876831 0.041516833607622552 0.0051826932042988187 0.0023618472658119261 0.0043663656732706412 0.8545195785717139 0.004082053210141318 0.064550620364709224 0.068958140139831536 0.031852076299282259 0.02043007056657065 0.0036012015401053628 0.82300350288715962 0.0090281412875417178 0.010964950142408683 0.0029071637237763066 0.026926439899124785 0.0049591410849849325 0.0034045544662823679 0.0039207351663975484 0.82433667994345328 0.0030548743506147455 0.033831233293132194 0.0033858313087236427 0.0081036984413960199 0.0071397321606920588 0.0057847934589366811 0.037387286525111522 0.0065106906391996875 0.0046362756284129003 0.83993682323467023 0.014519165839591987 0.0025211740271495623 0.012020065144884439 0.0067174821783384962 0.00856543611059149 0.0053876549492187682 0.0034317619808770039 0.010396298478783858 0.0030160809930899857 0.020937767492220635 0.022491523915593455 0.0034221018136339331 0.0081726367703711198 0.0010030133863916182 0.84930901246639845 0.0048058028361982153 0.003944303757737311 0.0077454871189850455 0.0058656775563580435 0.0065297686477678134 0.87267120518113461 0.036957989729109388 0.017771960730489596 0.0033503600365712518 0.030614089448639817 0.039462510156972594 0.012019758339273007 0.010972140102555679 0.94275674982413993 0.022151720595096777 0.12203838918627519 0.025954566982058034 0.018029189230475393 0.0056466975517417747 0.013967756656194305 0.68029405508810581 0.0056038345069592136 0.97243091822190808 0.020896592932660205 0.023984535258317053 0.0075627838414181331 0.0052010011181043017 0.023493676489768738 0.013086925606197999 0.0022670917704419101 0.015023943383154097 0.87888554628973736 0.036096377196827928 0.93802791529918372 0.035386203448302539 0.0061096966805970522 0.019819963774462889 0.7981862334774833 0.0033403675900135353 0.80226072555848194 0.046370626059465528 0.0092510920515916657 0.0016327939404649026 0.0064941613287023423 0.0060793823247226701 0.012459893996501164 0.0058896993648640079 0.0053812815612497454 0.001833544301126323 0.012537534928384435 0.13554769901644642 0.0063436463193319538 0.0051074299991524458 0.0029646167291078242 0.0073041034885354354 0.0030454837194565732 0.0027795267420232658 0.0028370361972170463 0.74106071211500435 0.0096810578999124586 0.0048268838979160502 0.0046860986919438205 0.011175763900200643 0.86770084922675961 0.0035145334610971585 0.0077087852635690773 0.0039633858469617731 0.0037680108905200497 0.0088043323156483284 0.0071489235771547447 0.0028850632588638707 0.92315053043859463 0.0016979167396340296 0.0050634471329424422 0.0070593543987755771 0.0062688918106821589 0.012919053821689055 0.0097414754726340702 0.065291968263986214 0.003969448502020973 0.88483632006083612 0.0090844409893418906 0.0022807292682402443 0.0051044847469939999 0.0059945951042732655 0.04796718522631864 0.012858583161829522 0.0037660014030537741 0.0072361863089348815 0.01713675794410854 0.012502540731945932 0.0038708256154879241 0.0028107734900194585 0.0032013167003711331 0.97234354794351108 0.019924664178608074 0.90242580812582751 0.0040756010884153036 0.0077425487000414737 0.073559216490927046 0.95753682244858773 0.76368214127760115 0.057638345140965927 0.0045845914275243387 0.023682203406570457 0.0095357988297342829 0.010775084278424345 0.0067509357171896831 0.0067413306010400426 0.010778853680422387 0.014517363322613195 0.070071120072767348 0.0058240919221698197 0.0098885140787445484 0.051129960603588279 0.013819368766170025 0.91904365397799304 0.0039330340525240565 0.0041978769357462588 0.035362466286181442 0.0051352368245051521 0.0043182862837618735 0.95682197742531705 0.057642045485499394 0.0071259561281631374 0.0057371671450751772 0.0030122912350877438 0.0028707037786765087 0.0037952790979721542 0.0049037594188971944 0.0054007304926474509;0.0050276636309078849 0.70663961870115743 0.0064560311152838728 0.0042448485212383553 0.18995241941693275 0.0037300214566250165 0.0043494378575895292 0.0044687131808429066 0.0047772673680371702 0.020505855170227051 0.004770376393039108 0.0062626024122567087 0.0053217379292865886 0.9577527384870268 0.0039856469873268043 0.64622533799398529 0.77390262891984118 0.0065559355500817195 0.57882860160063832 0.012718612998479028 0.0064677780979055651 0.84643764845135006 0.0098271015367037244 0.0054329924467132178 0.04666900241084132 0.61639459922763018 0.0086043978966761515 0.74244925273931328 0.0049791353776920139 0.0047688990082760951 0.005122690168403366 0.51802992070178733 0.0033056500474453049 0.0045284321268887718 0.0065435148206716932 0.0029325152495648411 0.0039704919882117638 0.016438915149101757 0.0046099675866110674 0.0033564748445532614 0.0043330915944135451 0.0069283580212264146 0.97205787193776305 0.0033228131999979201 0.0052942321921972853 0.01207045787135467 0.025546890970891301 0.40531282342619529 0.2862045756710313 0.0030615294504876488 0.0043087287939471541 0.0041064471387331648 0.0038092636347416787 0.076503937607565492 0.30670597436961144 0.0058146290638616963 0.0060546743040781545 0.0039516445636433055 0.0042007911262051051 0.0051680108086397201 0.0029748129588209366 0.0095225738578571043 0.003244540544441329 0.0059620853761330099 0.0029864575844430817 0.008714974924535851 0.0029850584720532407 0.98091492386796508 0.0041441435878667729 0.00732818331144578 0.0053673905344380829 0.0086932307618808706 0.003737350068483138 0.0044602396605582899 0.0041281168911581198 0.0063781782917233512 0.0057794986045487133 0.97243135488310206 0.0041845672185634513 0.0023290866314634091 0.0026571273655657261 0.001762066789842953 0.0053944493522603033 0.0030413754273923401 0.003840791357001978 0.004761171025013884 0.0028726901147620473 0.0028071211739708985 0.14024293766505505 0.0061329952323607743 0.003549522058635908 0.0040088769003063726 0.0044562627620938541 0.68484829212253706 0.0039369336227857397 0.59849937161507005 0.75109809766106383 0.96248519570544155 0.0047424453730600209 0.0035289953873869949 0.0049088335997579634 0.0036746802672594971 0.0037599373012239755 0.004633453037031077 0.11543309605179775 0.004589937995264786 0.004757077286264403 0.60541531029069839 0.0040395199405417071 0.006363175286450428 0.0057222945410085905 0.0085793191904673383 0.003951852740130898 0.34430525158097941 0.0039257761507937574 0.0057186334833607367 0.003048689384224766 0.0042392122382555152 0.0033804909210177038 0.0078654983859952395 0.004778758505704298 0.67498913314560527 0.67248023421165093 0.032553451248913248 0.56019603126990414 0.62371408940951656 0.29346115045282595 0.0040036889971257206 0.0036210558034257372 0.0036390142353398694 0.017797218841063611 0.0051625525328506134 0.0066535856340444888 0.043132428989925115 0.0044842538528826357 0.0044976390247237945 0.004313634601523687 0.0045483250443661104 0.0058127573390142212 0.0048386685693557543 0.87281647696125675 0.98856048969080401 0.0038208856805944311 0.49019678248444393 0.004438184394346522 0.0057519044719280656 0.01576862469386154 0.020033801512729807 0.0048906138242755101 0.0049242691489873652 0.0022444396055552158 0.0083922428602439172 0.23223272474730491 0.0026491686427977997 0.0028927446798915337 0.0048143253692918501 0.003434105242696152 0.49490554602186904 0.0049466005372902373 0.0055062543297176416 0.9790851554304113 0.0042208838249769192 0.0039892577217351738 0.0052284875275974444 0.003712243947601022 0.0033206163932391632 0.0055274331395074698 0.0049468924934559051 0.46163270756200797 0.0034302524835463978 0.0033202682100155019 0.003464177576979565 0.96712609030714525 0.0042098571154852056 0.0048556604841600024 0.006337843685415746 0.0033195673768999612 0.85761357118337933 0.43254499360398813 0.0066951709880102 0.010535543426513971 0.95840194286174585 0.0040367188668789817 0.0052533881421771931 0.0051784102664718503 0.32023780975839239 0.0041275807066500645 0.40021416772287816 0.0067866102705185505 0.0349071286859991 0.015140319317051414 0.0062968815983915861 0.0036624582191163487 0.0036776458737078294 0.74057066933825388 0.0043665221653511142 0.0066871247522596712 0.0087056046881087215 0.0041920097020056819 0.66167460090658836 0.003726091782413446 0.0041930598402424935 0.11093688592466139 0.0035077154009313222 0.98980267754089057 0.0046268213399974943 0.0039164537532819415 0.004163230630952002 0.30203565515382824 0.0033029802716526883 0.0052496649911734977 0.0042983161779308818 0.41685325661678158 0.0032165336925280784 0.0080858317293981373 0.031247379653200014 0.0028496066661519428 0.4014464420055846 0.0050601623746977954 0.0063350401937759641 0.0036206467388342953 0.0023491532361590889 0.006233604043967435 0.97382231688630028 0.0060029268078854413 0.0070796345650266821 0.0029906157367198803 0.004558104474529423 0.020008809361225226 0.0052683553262786124 0.96377253581208355 0.3167867388642821 0.42682626189416961 0.46997618430824384 0.0029906675693696485 0.0046690485458269248 0.39360559054893984 0.015432232295760327 0.0056786651511641917 0.0045169965911136273 0.0043932412679689378 0.0058149582584610593 0.0077279526140298354 0.0076774895600748962 0.0038388919197015915 0.94682843553941298 0.0033604884921512707 0.0047226235621081036 0.0075926544580704122 0.0022293322868999557 0.004075253675767789 0.0037929623557419485 0.0045201218390438815 0.0059946492582179873 0.0037896639305873251 0.0042406845582289403 0.0069144476603028781 0.0044146241016844723 0.0056873919223700007 0.0043876017127248996 0.0030985140172739667 0.0048144843477770137 0.0042029488268455536 0.0043569841273619538 0.13131144538127362 0.0041843973032440777 0.0055439790374445606 0.0038651798954915588 0.76163844161991312 0.0050646316149757266 0.0042002898538653754 0.0040263690790735334 0.0023901650368207965 0.0044779245286370208 0.007424319539059825 0.22309902151557306 0.010310689052672408 0.0035231980654529729 0.10754444684913451 0.12124214551112497 0.0050319080769855732 0.0037611223555506727 0.25474677151237662 0.56539954739236886 0.97825906114864947 0.59066356065554937 0.0052152351828853348 0.0054712391688648528 0.39500137137610714 0.0054386880764269981 0.0039194863104059074 0.68332775555585057 0.82987926707554782 0.0058125091926028499 0.0050450503651526101 0.0053413880552132288 0.007894589349195116 0.0060278022920637591 0.0095456631565483153 0.0041646442177221427 0.0032229525837297181 0.062528263084278085 0.98319132308375667 0.0044076217017049541 0.005622314340676832 0.5845339525780785 0.012433139069305358 0.0054307032552649986 0.51375654084916733 0.23949267752724254 0.004273317442507571 0.0051690764126853337 0.02758733330144595 0.0042497974477636287 0.0048609105329056454 0.0052570426798415632 0.006241789099527187 0.0040107448910024551 0.20425312376994079 0.20978947378023 0.0046767823684317044 0.0049454708515486619 0.0042468467340520928 0.0034151312336341377 0.0030557028340035559 0.0029402349704307548 0.0038409768117517351 0.28858697026296432 0.005243770250640158 0.0040832878596625648 0.0042412315968767943 0.0053370759550083737 0.007707623019956796 0.0031807881537426292 0.00391162255401318 0.0038902501384235665 0.0035210177213067777 0.0042222956457803346 0.017759776262761925 0.0048996137847383296 0.064487869023323735 0.0056118333769639836 0.0047050595007721678 0.78866206455228216 0.005510615743953607 0.0036290466944553989 0.005136081395607825 0.02210270956323496 0.0034198860573144527 0.97897154756808102 0.0069316018914475884 0.0036603216192672228 0.012479601359852705 0.004272640028237522 0.0079857360502276018 0.004133990548622072 0.0045291477014147985 0.0050020481506660554 0.0058847638884402973 0.58168472170844021 0.0033859301886999659 0.0045680497054978522 0.0035414363940314119 0.32750384444273661 0.010715392902583457 0.89667676688463005 0.0030759733721579569 0.0035988891221120024 0.88108585315537791 0.014364622766846096 0.023909010176932262 0.98185841875023461 0.0043106265095838722 0.58668411461811587 0.0034056922736211497 0.0039759489268102223 0.0047467646997219138 0.0091034547031850453 0.36548211027147742 0.0061933870295381348 0.86628252651682869 0.0052473568237304848 0.0067614805073958045 0.39788013610760975 0.005103856212502306 0.85401030169545855 0.0055031027676206729 0.0045615743258149745 0.0048318202751595121 0.0051858173622685031 0.0035937058814018248 0.201788240637884 0.88126295615878802 0.0033788332378188418 0.0096858131463998486 0.0035817461605353301 0.0028805798948797899 0.0049386495591227019 0.0043058470238206345 0.0029108453025585559;0.0035301983492375846 0.99357509610048866 0.0064579851070949677 0.0045196114997240119 0.19391067170311554 0.0022556934097136133 0.0038342852494581362 0.0037430415378946966 0.18344986058452123 0.0047295975743469696 0.0024321767235616202 0.0074853368808993426 0.0041300684017370271 0.25732418583312583 0.0027472428547036551 0.73178409228989894 0.56197701504799935 0.0031004045367976118 0.20077283605736579 0.43192597214698636 0.0064038119926035572 0.015305253214579449 0.14887093212576055 0.0054527542674454206 0.38208109266633583 0.0066170719744534628 0.0074755796084051314 0.26090173969372654 0.0037626881257225809 0.0029680557647727896 0.0036637848815490228 0.86793933207978935 0.0022341356159500439 0.0032232145611306813 0.0053372567294562336 0.0030302218213699634 0.0045548038116638417 0.66409121554882822 0.0050537882350155583 0.065055462315535148 0.0045184146513517487 0.005455791277983655 0.99051029157674852 0.0025782826407952696 0.0039066927339301803 0.12832482073860477 0.34632108925797533 0.085235730869268653 0.0041995646036262898 0.0024997781796483255 0.003537667367622514 0.0034574020321132839 0.0026038174627158513 0.9045659434337785 0.31939280271398973 0.0063961025252956549 0.0042988594515246678 0.0028288791698547616 0.0038275026248618662 0.010269484488451327 0.0026159242890642039 0.0077221079296730865 0.0025074742826010641 0.007638230486180779 0.0030446603743739778 0.0047681064363098878 0.0042489989949061023 0.37350517771695252 0.002964334649493118 0.0063186082990828972 0.23458519727651461 0.59852556489956243 0.0036325926656936777 0.0040540019812008096 0.0033029879866741723 0.0062043409505394527 0.0051990066261818632 0.38722547863914741 0.55036165693895622 0.63372898227887164 0.001815279731872523 0.0020452277757742059 0.0049930209053400711 0.0027180546292832866 0.0039948071772025785 0.0039978953688815568 0.0034580693050730604 0.001934928218209891 0.90488696512077016 0.0049342231128917495 0.0028884345286188076 0.0038007634132519587 0.0032936197248741284 0.59980243624011775 0.0042379880965868113 0.90587701933831444 0.011564077013295964 0.56639618180752438 0.003115404517677103 0.0026251174693284495 0.0040053777417784157 0.0028989665117310193 0.0031295839790663684 0.0045101192304211977 0.62152652008965137 0.0030901480988240319 0.0036979788867273931 0.0077948152262617915 0.0032317396911278043 0.0048801114810378887 0.0044793020623051369 0.1894275824798661 0.0041803445846391122 0.98292425178419485 0.61531180648982631 0.0053996407627711334 0.0027618107479353707 0.0032312118280881348 0.0033165419062912323 0.071133501376311983 0.0039813517450272128 0.01259527159150137 0.33135028585817039 0.012939096467973888 0.067445169954083381 0.52905301543366379 0.87314053872849773 0.0024367397204400573 0.23200080264105633 0.0030383225299288933 0.020169085004097167 0.0045538033960761557 0.18869095668195401 0.82315582858869152 0.0027596519822092884 0.0034559684069689978 0.0031937549343233514 0.0041629556533860834 0.0037994038784071242 0.0051022107691154304 0.20864617684539871 0.98623803644506958 0.0026719411890144839 0.069409695962590251 0.0042785589798021561 0.0057421426700545409 0.43352459356647016 0.0086986339699105172 0.0037567060378181517 0.0033035638114017646 0.0018195260322851519 0.0073688681764240973 0.12726585683797495 0.074725252575636752 0.018451965717109515 0.0047361820411590426 0.0037631426808016396 0.50185159953325342 0.0043246961241371435 0.0052951923752095689 0.3016057478382429 0.0031900846650809796 0.0034380318330294469 0.0034550945763897074 0.29460460892919044 0.0030044266404329312 0.0045108732048210797 0.00284989071863479 0.4524115279800271 0.0027738509681405157 0.0024104840095355269 0.002739596130985498 0.3677761883942734 0.010025686394903914 0.004218037909169684 0.0052377916928799369 0.0029429000816547802 0.015336839810970573 0.13583039228140148 0.43237464465659819 0.01122442869025589 0.53970548673298413 0.0029710462861342103 0.0048264404697113319 0.004271290064390189 0.0040944890757529983 0.0033756717386302366 0.56894985767201078 0.0054773619777577602 0.65543088816270534 0.0034909540991524312 0.004721122167709548 0.0027131401237598931 0.003658010143739687 0.38734789035405648 0.0024137567747897545 0.0031836013958575814 0.23828050058535472 0.0057715379171814751 0.3630389892521948 0.0033404523705618241 0.0031720533745866874 0.6529732680694369 0.0045838128369523126 0.98987573202771817 0.0041657717796862526 0.009676031799243404 0.0030588694897489182 0.066941087995572995 0.0026734406196498341 0.0071007595253827077 0.0031284614892257813 0.95171045544336985 0.0026128541516077931 0.0068173763593011834 0.064480187416318627 0.065324278180819456 0.17709105850292436 0.0058830031977894813 0.0060071782035324341 0.0024222368275222898 0.022941826802934967 0.0053008603620331501 0.4975627337178728 0.0070210135540485583 0.43685709712741505 0.0021742093217331834 0.0053090005383917551 0.0055873677358563197 0.0042822976397340453 0.1776537843886456 0.0089354389071088242 0.0066221119843703794 0.1263719748452147 0.31011991480834356 0.55890390958962988 0.0041021019341642602 0.0057109505656928721 0.0040433464811393321 0.0037264832973278959 0.003275778863207646 0.0039783470396223533 0.42299440685996076 0.006129936013642338 0.0035784636228322671 0.02826120245008526 0.0026463412232561488 0.003818015164474465 0.0071468430894091849 0.0021540735727617181 0.0029139816305722706 0.0032960910520710269 0.0042887897369350229 0.0052115196291106156 0.004915156030439816 0.0029002320724279963 0.0081727751205665777 0.0032877758564839425 0.0039811117648029231 0.0032790070962217485 0.0021947354459955514 0.0044918012457234712 0.0044018249033973746 0.0078942907840015095 0.96824154803673734 0.0024033788774603256 0.0040166144686472009 0.0043552850952359003 0.011122640370039684 0.003886306667807368 0.0050716051249257311 0.002908870828654762 0.0023691687493667102 0.0031155535043331014 0.010653639945748064 0.97516746947510313 0.0037104734452139939 0.0027042526313269177 0.66638868480612556 0.73057245739435439 0.0041908393448316563 0.0033814210087192136 0.49203762860310163 0.0070821200001869641 0.60589944394538287 0.49060734822103319 0.0047929020251751449 0.0042590756871934447 0.48884246617032806 0.43441929903270127 0.0032013577633996813 0.76042324733535682 0.01776869333343218 0.0051936190890512716 0.0039639557917086274 0.0041253400720190478 0.2333116271336784 0.0050561447202883605 0.0053865159209109626 0.0054455619175529588 0.0031351909683220015 0.91997454654503374 0.23675231171080791 0.49351421428258779 0.0043144977851573068 0.99054164610809792 0.0052003584854599704 0.0057561495850094371 0.39280615042520789 0.42884670628777888 0.0039356921621649752 0.0050002870900259415 0.90566691974847424 0.0028521064975250612 0.0030793880357663883 0.0025659618217257845 0.0068427764204991191 0.0030318473970846038 0.5717229033440665 0.3912263497080638 0.0046810205001485018 0.0034120111120348974 0.0027165427522983401 0.0023285844819571294 0.0027507098843530956 0.0030118993569119984 0.0026745612064321776 0.0062160697330982577 0.51641109335312607 0.0031153944407362991 0.0048476518117710459 0.0041942693565401269 0.0084586104098554153 0.0037528340451680508 0.0029043817943584542 0.0036237609760038994 0.0024884289262431837 0.0033571436871993651 0.0032232304577212408 0.0033517604082332949 0.90765799677971604 0.13755220769501253 0.0033146716361462727 0.067538502840324893 0.0052393120891527428 0.0030948780679671923 0.0049791359960964727 0.78726467082819618 0.0031834101509731635 0.87884068036782093 0.0031623146548697195 0.0032821015176518684 0.0039413877709007887 0.012108623110771632 0.58083735952249194 0.0037034818592410284 0.0034911131956232144 0.0051542609773960841 0.12535675376033018 0.66242415393531762 0.0034073285195728993 0.004170695475926892 0.0042851015154399333 0.55038553234397236 0.70083995832158796 0.031192447050999602 0.0018470932034749406 0.0030207105005236557 0.53502724619630737 0.3744433762618925 0.0084903000081457906 0.3245068867888018 0.0046420262342272917 0.0069062663430460676 0.0036468156010235273 0.0026145176684455838 0.0051308195890211183 0.0042227815661250506 0.29854613472626207 0.3771885155224321 0.031884324219851656 0.003645090234655196 0.0042493782961550994 0.3145714296815314 0.0067633096224449935 0.015507798141888084 0.01259754851382414 0.0060279647885965477 0.37658731672385903 0.0037377453789527995 0.0031367842245163592 0.86829554367741435 0.29448034691586317 0.01365626621179785 0.0070631321008166967 0.0029862752166248761 0.0029947980094728469 0.0050041919539295576 0.0045606061097177627 0.0021727488630241109]; % ===== SIMULATION ======== % Format Input Arguments isCellX = iscell(X); if ~isCellX, X = {X}; end; % Dimensions TS = size(X,2); % timesteps % Allocate Outputs Y = cell(1,TS); % Time loop for ts=1:TS % Input 1 % no processing % Layer 1 z1 = negdist_apply(IW1_1,X{1,ts}); a1 = compet_apply(z1); % Output 1 Y{1,ts} = a1; end % Final Delay States Xf = cell(1,0); Af = cell(1,0); % Format Output Arguments if ~isCellX, Y = cell2mat(Y); end end % ===== MODULE FUNCTIONS ======== % Negative Distance Weight Function function z = negdist_apply(w,p,~) [S,R] = size(w); Q = size(p,2); if isa(w,'gpuArray') z = iNegDistApplyGPU(w,p,R,S,Q); else z = iNegDistApplyCPU(w,p,S,Q); end end function z = iNegDistApplyCPU(w,p,S,Q) z = zeros(S,Q); if (Q<S) pt = p'; for q=1:Q z(:,q) = sum(bsxfun(@minus,w,pt(q,:)).^2,2); end else wt = w'; for i=1:S z(i,:) = sum(bsxfun(@minus,wt(:,i),p).^2,1); end end z = -sqrt(z); end function z = iNegDistApplyGPU(w,p,R,S,Q) p = reshape(p,1,R,Q); sd = arrayfun(@iNegDistApplyGPUHelper,w,p); z = -sqrt(reshape(sum(sd,2),S,Q)); end function sd = iNegDistApplyGPUHelper(w,p) sd = (w-p) .^ 2; end % Competitive Transfer Function function a = compet_apply(n,~) if isempty(n) a = n; else [S,Q] = size(n); nanInd = any(isnan(n),1); a = zeros(S,Q,'like',n); [~,maxRows] = max(n,[],1); onesInd = maxRows + S*(0:(Q-1)); a(onesInd) = 1; a(:,nanInd) = NaN; end end
github
zhangchn/otx-master
PPCProcessor.m
.m
otx-master/src/source/Processors/PPCProcessor.m
62,175
utf_8
713d85183996bcd7d3f41e667af270b8
/* PPCProcessor.m A subclass of ExeProcessor that handles PPC-specific issues. This file is in the public domain. */ #import <Cocoa/Cocoa.h> #import "PPCProcessor.h" #import "ArchSpecifics.h" #import "ListUtils.h" #import "ObjcAccessors.h" #import "ObjectLoader.h" #import "Searchers.h" #import "SyscallStrings.h" #import "UserDefaultKeys.h" extern BOOL gCancel; @implementation PPCProcessor // initWithURL:controller:options: // ---------------------------------------------------------------------------- - (id)initWithURL: (NSURL*)inURL controller: (id)inController options: (ProcOptions*)inOptions { if ((self = [super initWithURL: inURL controller: inController options: inOptions])) { strncpy(iArchString, "ppc", 4); iArchSelector = CPU_TYPE_POWERPC; iFieldWidths.offset = 8; iFieldWidths.address = 10; iFieldWidths.instruction = 10; iFieldWidths.mnemonic = 9; iFieldWidths.operands = 17; } return self; } // dealloc // ---------------------------------------------------------------------------- - (void)dealloc { if (iLocalSelves) { free(iLocalSelves); iLocalSelves = NULL; } if (iLocalVars) { free(iLocalVars); iLocalVars = NULL; } } // loadDyldDataSection: // ---------------------------------------------------------------------------- - (void)loadDyldDataSection: (section*)inSect { [super loadDyldDataSection: inSect]; if (!iAddrDyldStubBindingHelper) return; iAddrDyldFuncLookupPointer = iAddrDyldStubBindingHelper + 24; } // codeFromLine: // ---------------------------------------------------------------------------- - (void)codeFromLine: (Line*)inLine { uint32_t theInstruction = (iMachHeader.filetype == MH_OBJECT) ? *(uint32_t*)((char*)iMachHeaderPtr + (inLine->info.address + iTextOffset)) : *(uint32_t*)((char*)iMachHeaderPtr + (inLine->info.address - iTextOffset)); inLine->info.codeLength = 4; uint32_t* intPtr = (uint32_t*)&inLine->info.code[0]; *intPtr = theInstruction; } #pragma mark - // commentForLine: // ---------------------------------------------------------------------------- - (void)commentForLine: (Line*)inLine; { uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); char* theDummyPtr = NULL; char* theSymPtr = NULL; UInt8 opcode = PO(theCode); uint32_t localAddy; iLineCommentCString[0] = 0; // Examine the primary opcode to see if we need to look for comments. switch (opcode) { case 0x0a: // cmpli | cmplwi UIMM case 0x0b: // cmpi | cmpwi SIMM { SInt16 imm = SIMM(theCode); // Check for a single printable 7-bit char. if (imm >= 0x20 && imm < 0x7f) snprintf(iLineCommentCString, 4, "'%c'", imm); break; } case 0x11: // sc [self commentForSystemCall]; break; case 0x10: // bc, bca, bcl, bcla case 0x12: // b, ba, bl, bla { // Check for absolute branches to the ObjC runtime page. Similar to // the comm page behavior described at // http://www.opensource.apple.com/darwinsource/10.4.7.ppc/xnu-792.6.76/osfmk/ppc/cpu_capabilities.h // However, the ObjC runtime page is not really a comm page, and it // cannot be accessed by bca and bcla instructions, due to their // 16-bit limitation. // Deal with absolute branches. if (AA(theCode)) { uint32_t target = LI(theCode); switch (target) { case kRTAddress_objc_msgSend: { char tempComment[MAX_COMMENT_LENGTH]; strncpy(tempComment, kRTName_objc_msgSend, strlen(kRTName_objc_msgSend) + 1); if (iOpts.verboseMsgSends) [self commentForMsgSend:tempComment fromLine:inLine]; strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } case kRTAddress_objc_assign_ivar: { char tempComment[MAX_COMMENT_LENGTH]; strncpy(tempComment, kRTName_objc_assign_ivar, strlen(kRTName_objc_assign_ivar) + 1); // Bail if we don't know about the class. if (!iCurrentClass) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } if (iRegInfos[5].isValid) { objc1_32_ivar theIvar = {0}; objc1_32_class swappedClass = *(objc1_32_class *)iCurrentClass; #if __LITTLE_ENDIAN__ swap_objc1_32_class(&swappedClass); #endif if (!iIsInstanceMethod) { if (![self getObjc1MetaClass:&swappedClass fromClass:&swappedClass]) break; #if __LITTLE_ENDIAN__ swap_objc1_32_class(&swappedClass); #endif } if (![self findIvar:&theIvar inClass:&swappedClass withOffset:iRegInfos[5].value]) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } theSymPtr = [self getPointer:theIvar.ivar_name type:NULL]; if (!theSymPtr) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription: theTypeCString forType: [self getPointer:theIvar.ivar_type type:NULL]]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s (%s)%s", tempComment, theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s %s", tempComment, theSymPtr); } else // !mReginfos[5].isValid snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", tempComment); break; } case kRTAddress_objc_assign_global: strncpy(iLineCommentCString, kRTName_objc_assign_global, strlen(kRTName_objc_assign_global) + 1); break; case kRTAddress_objc_assign_strongCast: strncpy(iLineCommentCString, kRTName_objc_assign_strongCast, strlen(kRTName_objc_assign_strongCast) + 1); break; default: break; } } else // not an absolute branch { // Insert anonymous label or 'return' if there's not a comment yet. if (iLineCommentCString[0]) break; uint32_t absoluteAddy; if (opcode == 0x12) absoluteAddy = inLine->info.address + LI(theCode); else absoluteAddy = inLine->info.address + BD(theCode); FunctionInfo searchKey = {absoluteAddy, NULL, 0, 0}; FunctionInfo* funcInfo = bsearch(&searchKey, iFuncInfos, iNumFuncInfos, sizeof(FunctionInfo), (COMPARISON_FUNC_TYPE)Function_Info_Compare); if (funcInfo && funcInfo->genericFuncNum != 0) { snprintf(iLineCommentCString, ANON_FUNC_BASE_LENGTH + 11, "%s%d", ANON_FUNC_BASE, funcInfo->genericFuncNum); break; } // FIXME: mCurrentFuncInfoIndex is -1 here when it should not be funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; if (!funcInfo->blocks) break; uint32_t i; for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress != absoluteAddy) continue; if (funcInfo->blocks[i].isEpilog) snprintf(iLineCommentCString, 8, "return;"); break; } } break; } case 0x13: // bcctr, bclr, isync if (SO(theCode) != 528) // bcctr break; // Print value of ctr, ignoring the low 2 bits. if (iCTR.isValid) snprintf(iLineCommentCString, 10, "0x%x", iCTR.value & ~3); break; case 0x30: // lfs SIMM case 0x34: // stfs SIMM case 0x32: // lfd SIMM case 0x36: // stfd SIMM { if (!iRegInfos[RA(theCode)].isValid || RA(theCode) == 0) break; if (iRegInfos[RA(theCode)].classPtr) { // search instance vars objc_32_class_ptr classPtr = iRegInfos[RA(theCode)].classPtr; uint32_t offset = UIMM(theCode); char *typePtr = NULL; if (![self getIvarName:&theSymPtr type:&typePtr withOffset:offset inClass:classPtr]) break; if (theSymPtr) { if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:typePtr]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "(%s)%s", theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } else { localAddy = iRegInfos[RA(theCode)].value + SIMM(theCode); theDummyPtr = [self getPointer:localAddy type:NULL]; if (!theDummyPtr) break; if (opcode == 0x32 || opcode == 0x36) // lfd | stfd { UInt64 theInt64 = *(UInt64*)theDummyPtr; theInt64 = OSSwapBigToHostInt64(theInt64); // dance around printf's type coersion snprintf(iLineCommentCString, 30, "%lG", *(double*)&theInt64); } else // lfs | stfs { uint32_t theInt32 = *(uint32_t*)theDummyPtr; theInt32 = OSSwapBigToHostInt32(theInt32); // dance around printf's type coersion snprintf(iLineCommentCString, 30, "%G", *(float*)&theInt32); } } break; } case 0x0e: // li | addi SIMM case 0x18: // ori UIMM case 0x20: // lwz SIMM case 0x22: // lbz SIMM case 0x24: // stw SIMM case 0x26: // stb SIMM case 0x28: // lhz SIMM case 0x2c: // sth SIMM { if (!iRegInfos[RA(theCode)].isValid || RA(theCode) == 0) break; if (iRegInfos[RA(theCode)].classPtr) // relative to a class { // search instance vars objc_32_class_ptr classPtr = iRegInfos[RA(theCode)].classPtr; uint32_t offset = UIMM(theCode); char *typePtr = NULL; if (![self getIvarName:&theSymPtr type:&typePtr withOffset:offset inClass:classPtr]) break; if (theSymPtr) { if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:typePtr]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "(%s)%s", theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } else // absolute address { if (opcode == 0x18) // ori UIMM localAddy = iRegInfos[RA(theCode)].value | UIMM(theCode); else localAddy = iRegInfos[RA(theCode)].value + SIMM(theCode); UInt8 theType = PointerType; uint32_t theValue; theSymPtr = [self getPointer:localAddy type:&theType]; if (theSymPtr) { switch (theType) { case DataGenericType: theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:&theType]; switch (theType) { case PointerType: theSymPtr = theDummyPtr; break; default: theSymPtr = NULL; break; } break; case DataConstType: theSymPtr = NULL; break; // See http://www.opensource.apple.com/darwinsource/10.4.7.ppc/Csu-58/dyld.s // They hardcoded the values, we may as well... case DYLDType: { char* dyldComment = NULL; theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); switch(theValue) { case kDyldAddress_LaSymBindingEntry: dyldComment = kDyldName_LaSymBindingEntry; break; case kDyldAddress_FuncLookupPointer: dyldComment = kDyldName_FuncLookupPointer; break; default: break; } if (dyldComment) snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", dyldComment); break; } case PointerType: break; case CFStringType: { cfstring_object theCFString = *(cfstring_object*)theSymPtr; if (theCFString.oc_string.length == 0) { theSymPtr = NULL; break; } theCFString.oc_string.chars = OSSwapBigToHostInt32(theCFString.oc_string.chars); theSymPtr = [self getPointer:theCFString.oc_string.chars type:NULL]; break; } case ImpPtrType: case NLSymType: { theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:NULL]; if (!theDummyPtr) { theSymPtr = NULL; break; } theValue = *(uint32_t*)(theDummyPtr + 4); theValue = OSSwapBigToHostInt32(theValue); if (theValue != typeid_NSString) { theValue = *(uint32_t*)theDummyPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:NULL]; if (!theDummyPtr) { theSymPtr = NULL; break; } } cfstring_object theCFString = *(cfstring_object*)theDummyPtr; if (theCFString.oc_string.length == 0) { theSymPtr = NULL; break; } theCFString.oc_string.chars = OSSwapBigToHostInt32(theCFString.oc_string.chars); theSymPtr = [self getPointer:theCFString.oc_string.chars type:NULL]; break; } case OCGenericType: case OCStrObjectType: case OCClassType: case OCModType: if (![self getObjc1Description:&theDummyPtr fromObject:theSymPtr type:theType]) break; if (theDummyPtr) { switch (theType) { case OCClassType: iRegInfos[RT(theCode)].classPtr = (objc_32_class_ptr)theSymPtr; break; default: break; } } theSymPtr = theDummyPtr; break; default: break; } if (theSymPtr && !iLineCommentCString[0]) { if (theType == PStringType) snprintf(iLineCommentCString, 255, "%*s", theSymPtr[0], theSymPtr + 1); else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } // if (theSymPtr) else { // Maybe it's a four-char code... if ((opcode == 0x0e || opcode == 0x18) && // li | addi | ori localAddy >= 0x20202020 && localAddy < 0x7f7f7f7f) { localAddy = OSSwapBigToHostInt32(localAddy); char* fcc = (char*)&localAddy; if (fcc[0] >= 0x20 && fcc[0] < 0x7f && fcc[1] >= 0x20 && fcc[1] < 0x7f && fcc[2] >= 0x20 && fcc[2] < 0x7f && fcc[3] >= 0x20 && fcc[3] < 0x7f) snprintf(iLineCommentCString, 7, "'%.4s'", fcc); } } } // if !(.classPtr) break; } // case 0x0e... default: break; } } // commentForSystemCall // ---------------------------------------------------------------------------- // System call number is stored in r0, possible values defined in // <sys/syscall.h>. Call numbers are indices into a lookup table of handler // routines. Args being passed to the looked-up handler start at r3 or r4, // depending on whether it's an indirect SYS_syscall. - (void)commentForSystemCall { if (!iRegInfos[0].isValid || iRegInfos[0].value > SYS_MAXSYSCALL) { snprintf(iLineCommentCString, 11, "syscall(?)"); return; } BOOL isIndirect = (iRegInfos[0].value == SYS_syscall); uint32_t syscallNumReg = isIndirect ? 3 : 0; uint32_t syscallArg1Reg = isIndirect ? 4 : 3; if (!iRegInfos[syscallNumReg].isValid || iRegInfos[syscallNumReg].value > SYS_MAXSYSCALL) { snprintf(iLineCommentCString, 11, "syscall(?)"); return; } const char* theSysString = gSysCalls[iRegInfos[syscallNumReg].value]; if (!theSysString) return; char theTempComment[50]; theTempComment[0] = 0; strncpy(theTempComment, theSysString, strlen(theSysString) + 1); // Handle various system calls. switch (iRegInfos[syscallNumReg].value) { case SYS_ptrace: if (iRegInfos[syscallArg1Reg].isValid && iRegInfos[syscallArg1Reg].value == PT_DENY_ATTACH) snprintf(iLineCommentCString, 40, "%s(%s)", theTempComment, "PT_DENY_ATTACH"); else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theTempComment); break; default: snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theTempComment); break; } } // selectorForMsgSend:fromLine: // ---------------------------------------------------------------------------- - (char*)selectorForMsgSend: (char*)outComment fromLine: (Line*)inLine { char* selString = NULL; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); // Bail if this is not an eligible branch. if (PO(theCode) != 0x12) // b, bl, ba, bla return NULL; // Bail if this is not an objc_msgSend variant. if (memcmp(outComment, "_objc_msgSend", 13)) return NULL; UInt8 sendType = [self sendTypeFromMsgSend:outComment]; uint32_t selectorRegNum = (sendType == sendSuper_stret || sendType == send_stret) ? 5 : 4; if (!iRegInfos[selectorRegNum].isValid || !iRegInfos[selectorRegNum].value) return NULL; // Get at the selector. UInt8 selType = PointerType; char* selPtr = [self getPointer:iRegInfos[selectorRegNum].value type:&selType]; switch (selType) { case PointerType: selString = selPtr; break; case OCGenericType: if (selPtr) { uint32_t selPtrValue = *(uint32_t*)selPtr; selPtrValue = OSSwapBigToHostInt32(selPtrValue); selString = [self getPointer:selPtrValue type:NULL]; } break; default: fprintf(stderr, "otx: [PPCProcessor selectorForMsgSend:fromLine:]: " "unsupported selector type: %d at address: 0x%x\n", selType, inLine->info.address); break; } return selString; } // commentForMsgSend:fromLine: // ---------------------------------------------------------------------------- - (void)commentForMsgSend: (char*)ioComment fromLine: (Line*)inLine { char* selString = [self selectorForMsgSend:ioComment fromLine:inLine]; // Bail if we couldn't find the selector. if (!selString) { iMissedSelectorCount++; return; } iMatchedSelectorCount++; UInt8 sendType = [self sendTypeFromMsgSend:ioComment]; // Get the address of the class name string, if this a class method. uint32_t classNameAddy = 0; // If *.classPtr is non-NULL, it's not a name string. if (sendType == sendSuper_stret || sendType == send_stret) { if (iRegInfos[4].isValid && !iRegInfos[4].classPtr) classNameAddy = iRegInfos[4].value; } else { if (iRegInfos[3].isValid && !iRegInfos[3].classPtr) classNameAddy = iRegInfos[3].value; } char* className = NULL; char* returnTypeString = (sendType == sendSuper_stret || sendType == send_stret) ? "(struct)" : ""; char tempComment[MAX_COMMENT_LENGTH]; tempComment[0] = 0; if (classNameAddy) { // Get at the class name UInt8 classNameType = PointerType; char* classNamePtr = [self getPointer:classNameAddy type:&classNameType]; switch (classNameType) { // Receiver can be various things in these sections, but we // only want to display class names as receivers. case DataGenericType: case DataConstType: case CFStringType: case ImpPtrType: case OCStrObjectType: case OCModType: case PStringType: case DoubleType: break; case NLSymType: if (classNamePtr) { uint32_t namePtrValue = *(uint32_t*)classNamePtr; namePtrValue = OSSwapBigToHostInt32(namePtrValue); classNamePtr = [self getPointer:namePtrValue type:&classNameType]; switch (classNameType) { case CFStringType: if (classNamePtr != NULL) { cfstring_object classNameCFString = *(cfstring_object*)classNamePtr; namePtrValue = classNameCFString.oc_string.chars; namePtrValue = OSSwapBigToHostInt32(namePtrValue); classNamePtr = [self getPointer:namePtrValue type:NULL]; className = classNamePtr; } break; // Not sure what these are for, but they're out there. case NLSymType: case FloatType: break; default: printf("otx: [PPCProcessor commentForMsgSend:fromLine:]: " "non-lazy symbol pointer points to unrecognized section: %d\n", classNameType); break; } } break; case PointerType: className = classNamePtr; break; case OCGenericType: if (classNamePtr) { uint32_t namePtrValue = *(uint32_t*)classNamePtr; namePtrValue = OSSwapBigToHostInt32(namePtrValue); className = [self getPointer:namePtrValue type:NULL]; } break; case OCClassType: if (classNamePtr) [self getObjc1Description:&className fromObject:classNamePtr type:OCClassType]; break; default: fprintf(stderr, "otx: [PPCProcessor commentForMsgSend]: " "unsupported class name type: %d at address: 0x%x\n", classNameType, inLine->info.address); break; } } if (className) { snprintf(tempComment, MAX_COMMENT_LENGTH, ((sendType == sendSuper || sendType == sendSuper_stret) ? "+%s[[%s super] %s]" : "+%s[%s %s]"), returnTypeString, className, selString); } else { switch (sendType) { case send: case send_rtp: case send_variadic: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[r3 %s]", returnTypeString, selString); break; case sendSuper: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[[r3 super] %s]", returnTypeString, selString); break; case send_stret: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[r4 %s]", returnTypeString, selString); break; case sendSuper_stret: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[[r4 super] %s]", returnTypeString, selString); break; default: break; } } if (tempComment[0]) strncpy(ioComment, tempComment, strlen(tempComment) + 1); } // chooseLine: // ---------------------------------------------------------------------------- - (void)chooseLine: (Line**)ioLine { if (!(*ioLine) || !(*ioLine)->info.isCode || !(*ioLine)->alt || !(*ioLine)->alt->chars) return; uint32_t theCode = *(uint32_t*)(*ioLine)->info.code; theCode = OSSwapBigToHostInt32(theCode); if (PO(theCode) == 18) // b, ba, bl, bla { Line* theNewLine = malloc(sizeof(Line)); memcpy(theNewLine, (*ioLine)->alt, sizeof(Line)); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, (*ioLine)->alt->chars, theNewLine->length + 1); // Swap in the verbose line and free the previous verbose lines. [self deleteLinesBefore:(*ioLine)->alt fromList:&iVerboseLineListHead]; [self replaceLine:*ioLine withLine:theNewLine inList:&iPlainLineListHead]; *ioLine = theNewLine; } } #pragma mark - // resetRegisters: // ---------------------------------------------------------------------------- - (void)resetRegisters: (Line*)inLine { if (!inLine) { fprintf(stderr, "otx: [PPCProcessor resetRegisters]: " "tried to reset with NULL inLine\n"); return; } // Setup the registers with default info. r3 is 'self' at the beginning // of any Obj-C method, and r12 holds the address of the 1st instruction // if the function was called indirectly. In the case of direct calls, // r12 will be overwritten before it is used, if it is used at all. [self getObjcClassPtr:&iCurrentClass fromMethod:inLine->info.address]; [self getObjc1CatPtr:&iCurrentCat fromMethod:inLine->info.address]; memset(iRegInfos, 0, sizeof(GPRegisterInfo) * 32); // If we didn't get the class from the method, try to get it from the // category. if (!iCurrentClass && iCurrentCat) { objc1_32_category swappedCat = *iCurrentCat; #if __LITTLE_ENDIAN__ swap_objc1_32_category(&swappedCat); #endif [self getObjcClassPtr:&iCurrentClass fromName:[self getPointer:swappedCat.class_name type:NULL]]; } iRegInfos[3].classPtr = iCurrentClass; iRegInfos[3].catPtr = iCurrentCat; iRegInfos[3].isValid = YES; iRegInfos[12].value = iCurrentFuncPtr; iRegInfos[12].isValid = YES; iLR = (GPRegisterInfo){0}; iCTR = (GPRegisterInfo){0}; // Try to find out whether this is a class or instance method. MethodInfo* thisMethod = NULL; if ([self getObjcMethod:&thisMethod fromAddress:inLine->info.address]) iIsInstanceMethod = thisMethod->inst; if (iLocalSelves) { free(iLocalSelves); iLocalSelves = NULL; iNumLocalSelves = 0; } if (iLocalVars) { free(iLocalVars); iLocalVars = NULL; iNumLocalVars = 0; } iCurrentFuncInfoIndex++; if (iCurrentFuncInfoIndex >= iNumFuncInfos) iCurrentFuncInfoIndex = -1; } // updateRegisters: // ---------------------------------------------------------------------------- // Keep our local copy of the GPRs in sync as much as possible with the // values that the exe will use at runtime. Assign classPtr and catPtr fields // in a register's info if its new value points to a class or category. // http://developer.apple.com/documentation/DeveloperTools/Conceptual/LowLevelABI/Articles/32bitPowerPC.html // http://developer.apple.com/documentation/DeveloperTools/Conceptual/MachOTopics/Articles/dynamic_code.html - (void)updateRegisters: (Line*)inLine; { if (!inLine) { fprintf(stderr, "otx: [PPCProcessor updateRegisters]: " "tried to update with NULL inLine\n"); return; } uint32_t theNewValue; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (IS_BRANCH_LINK(theCode)) { iLR.value = inLine->info.address + 4; iLR.isValid = YES; } switch (PO(theCode)) { case 0x07: // mulli SIMM { if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; } UInt64 theProduct = (SInt32)iRegInfos[RA(theCode)].value * SIMM(theCode); iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = (uint32_t)(theProduct & 0xffffffff); iRegInfos[RT(theCode)].isValid = YES; break; } case 0x08: // subfic SIMM if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; } theNewValue = iRegInfos[RA(theCode)].value - SIMM(theCode); iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 0x0c: // addic SIMM case 0x0d: // addic. SIMM case 0x0e: // addi | li SIMM if (RA(theCode) == 1 && // current reg is stack pointer (r1) SIMM(theCode) >= 0) // we're accessing local vars, not args { BOOL found = NO; uint32_t i; // Check for copied self pointer. This happens mostly in "init" // methods, as in: "self = [super init]" if (iLocalSelves) // self was copied to a local variable { // If we're accessing a local var copy of self, // copy that info back to the reg in question. for (i = 0; i < iNumLocalSelves; i++) { if (iLocalSelves[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalSelves[i].regInfo; found = YES; break; } } if (found) break; // Check for other local variables. if (iLocalVars) { for (i = 0; i < iNumLocalVars; i++) { if (iLocalVars[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalVars[i].regInfo; found = YES; break; } } if (found) break; } // We didn't find any local variables, try immediates. if (RA(theCode) == 0) // li { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = UIMM(theCode); iRegInfos[RT(theCode)].isValid = YES; } else // addi { // Update rD if we know what rA is. if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; } iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].catPtr = NULL; theNewValue = iRegInfos[RA(theCode)].value + SIMM(theCode); iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; } break; case 0x0f: // addis | lis iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].catPtr = NULL; if (RA(theCode) == 0) // lis { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = UIMM(theCode) << 16; iRegInfos[RT(theCode)].isValid = YES; break; } // addis if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; } theNewValue = iRegInfos[RA(theCode)].value + (SIMM(theCode) << 16); iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 0x10: // bcl, bcla case 0x13: // bclrl, bcctrl if (!IS_BRANCH_LINK(theCode)) // fall thru if link break; case 0x12: // b, ba, bl, bla { if (!LK(theCode)) // bl, bla break; iRegInfos[3] = (GPRegisterInfo){0}; break; } case 0x15: // rlwinm { if (!iRegInfos[RT(theCode)].isValid) { iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; break; } uint32_t rotatedRT = rotl(iRegInfos[RT(theCode)].value, RB(theCode)); uint32_t theMask = 0x0; UInt8 i; for (i = MB(theCode); i <= ME(theCode); i++) theMask |= 1 << (31 - i); theNewValue = rotatedRT & theMask; iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; } case 0x18: // ori if (!iRegInfos[RT(theCode)].isValid) { iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; break; } theNewValue = iRegInfos[RT(theCode)].value | (uint32_t)UIMM(theCode); iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; case 0x1f: // multiple instructions switch (SO(theCode)) { case 23: // lwzx iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; case 8: // subfc case 40: // subf if (!iRegInfos[RA(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; } // 2's complement subtraction theNewValue = (iRegInfos[RA(theCode)].value ^= 0xffffffff) + iRegInfos[RB(theCode)].value + 1; iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 339: // mfspr iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; if (SPR(theCode) == LR && // from LR iLR.isValid) { // Copy LR into rD. iRegInfos[RT(theCode)].value = iLR.value; iRegInfos[RT(theCode)].isValid = YES; } break; case 444: // or | or. if (!iRegInfos[RT(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; break; } theNewValue = (iRegInfos[RT(theCode)].value | iRegInfos[RB(theCode)].value); iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; // If we just copied a register, copy the // remaining fields. if (RT(theCode) == RB(theCode)) { iRegInfos[RA(theCode)].classPtr = iRegInfos[RB(theCode)].classPtr; iRegInfos[RA(theCode)].catPtr = iRegInfos[RB(theCode)].catPtr; } break; case 467: // mtspr if (SPR(theCode) == CTR) // to CTR { if (!iRegInfos[RS(theCode)].isValid) { iCTR = (GPRegisterInfo){0}; break; } iCTR.value = iRegInfos[RS(theCode)].value; iCTR.isValid = YES; } break; case 24: // slw if (!iRegInfos[RS(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; break; } if (SB(iRegInfos[RB(theCode)].value)) { theNewValue = iRegInfos[RS(theCode)].value << SV(iRegInfos[RB(theCode)].value); } else // If RB.5 == 0, RA = 0. theNewValue = 0; iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; case 536: // srw if (!iRegInfos[RS(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; break; } theNewValue = iRegInfos[RS(theCode)].value >> SV(iRegInfos[RB(theCode)].value); iRegInfos[RA(theCode)] = (GPRegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; default: break; } break; case 0x20: // lwz case 0x22: // lbz if (RA(theCode) == 0) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = SIMM(theCode); iRegInfos[RT(theCode)].isValid = YES; } else if (iRegInfos[RA(theCode)].isValid) { void *tempPtr = [self getPointer:iRegInfos[RA(theCode)].value + SIMM(theCode) type:NULL]; if (tempPtr) { iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; iRegInfos[RT(theCode)].value = *(uint32_t*)tempPtr; iRegInfos[RT(theCode)].value = OSSwapBigToHostInt32(iRegInfos[RT(theCode)].value); iRegInfos[RT(theCode)].isValid = YES; } else iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; } else if (iLocalVars) { uint32_t i; for (i = 0; i < iNumLocalVars; i++) { if (iLocalVars[i].offset == SIMM(theCode)) { iRegInfos[RT(theCode)] = iLocalVars[i].regInfo; break; } } } else iRegInfos[RT(theCode)] = (GPRegisterInfo){0}; break; /* case 0x22: // lbz mRegInfos[RT(theCode)] = (GPRegisterInfo){0}; if (RA(theCode) == 0) { mRegInfos[RT(theCode)].value = SIMM(theCode); mRegInfos[RT(theCode)].isValid = YES; } break;*/ case 0x24: // stw if (!iRegInfos[RT(theCode)].isValid || RA(theCode) != 1 || SIMM(theCode) < 0) break; if (iRegInfos[RT(theCode)].classPtr) // if it's a class { iNumLocalSelves++; iLocalSelves = realloc(iLocalSelves, iNumLocalSelves * sizeof(VarInfo)); iLocalSelves[iNumLocalSelves - 1] = (VarInfo) {iRegInfos[RT(theCode)], UIMM(theCode)}; } else { iNumLocalVars++; iLocalVars = realloc(iLocalVars, iNumLocalVars * sizeof(VarInfo)); iLocalVars[iNumLocalVars - 1] = (VarInfo) {iRegInfos[RT(theCode)], UIMM(theCode)}; } break; /* case 0x21: case 0x23: case 0x25: case 0x26: case 0x27: case 0x28: case 0x29: case 0x2a: case 0x2b: case 0x2c: case 0x2d: case 0x2e: case 0x2f: break;*/ default: break; } } // restoreRegisters: // ---------------------------------------------------------------------------- - (BOOL)restoreRegisters: (Line*)inLine { if (!inLine) { fprintf(stderr, "otx: [PPCProcessor restoreRegisters]: " "tried to restore with NULL inLine\n"); return NO; } BOOL needNewLine = NO; if (iCurrentFuncInfoIndex < 0) return NO; // Search current FunctionInfo for blocks that start at this address. FunctionInfo* funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; if (!funcInfo->blocks) return NO; uint32_t i; for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress != inLine->info.address) continue; // Update machine state. MachineState machState = funcInfo->blocks[i].state; memcpy(iRegInfos, machState.regInfos, sizeof(GPRegisterInfo) * 32); iLR = machState.regInfos[LRIndex]; iCTR = machState.regInfos[CTRIndex]; if (machState.localSelves) { if (iLocalSelves) free(iLocalSelves); iNumLocalSelves = machState.numLocalSelves; iLocalSelves = malloc( sizeof(VarInfo) * iNumLocalSelves); memcpy(iLocalSelves, machState.localSelves, sizeof(VarInfo) * iNumLocalSelves); } if (machState.localVars) { if (iLocalVars) free(iLocalVars); iNumLocalVars = machState.numLocalVars; iLocalVars = malloc( sizeof(VarInfo) * iNumLocalVars); memcpy(iLocalVars, machState.localVars, sizeof(VarInfo) * iNumLocalVars); } // Optionally add a blank line before this block. if (iOpts.separateLogicalBlocks && inLine->chars[0] != '\n' && !inLine->info.isFunction) needNewLine = YES; break; } // for (i = 0...) return needNewLine; } // lineIsFunction: // ---------------------------------------------------------------------------- - (BOOL)lineIsFunction: (Line*)inLine { if (!inLine) return NO; uint32_t theAddy = inLine->info.address; if (theAddy == iAddrDyldStubBindingHelper || theAddy == iAddrDyldFuncLookupPointer) return YES; MethodInfo* theDummyInfo = NULL; // In Obj-C apps, the majority of funcs will have Obj-C symbols, so check // those first. if ([self findClassMethod:&theDummyInfo byAddress:theAddy]) return YES; if ([self findCatMethod:&theDummyInfo byAddress:theAddy]) return YES; // If it's not an Obj-C method, maybe there's an nlist. if ([self findSymbolByAddress:theAddy]) return YES; // If otool gave us a function name... if (inLine->prev && !inLine->prev->info.isCode) return YES; BOOL isFunction = NO; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if ((theCode & 0xfc1fffff) == 0x7c0802a6) // mflr to any reg { // Allow for late mflr BOOL foundUB = NO; Line* thePrevLine = inLine->prev; // Walk back to the most recent unconditional branch, looking // for existing symbols. while (!foundUB && thePrevLine) { // Allow for multiple mflr's if (thePrevLine->info.isFunction) return NO; theCode = *(uint32_t*)thePrevLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if ((theCode & 0xfc0007ff) == 0x7c000008) // trap { foundUB = YES; continue; } UInt8 opcode = PO(theCode); if (opcode == 16 || opcode == 18 || opcode == 19) // bc, bca, bcl, bcla, b, ba, bl, bla, bclr, bclrl and more { if (!IS_BRANCH_CONDITIONAL(theCode) && theCode != 0x429f0005 && // bcl w/ "always branch" (theCode & 0x48000001) != 0x48000001) // bl foundUB = YES; } if (!foundUB) thePrevLine = thePrevLine->prev; } if (!thePrevLine) return YES; thePrevLine = thePrevLine->next; // If the code line following the most recent unconditional // branch is not already recognized, flag it now. if (thePrevLine == inLine) isFunction = YES; else { BOOL foundStart = NO; for (; thePrevLine != inLine; thePrevLine = thePrevLine->next) { if (!thePrevLine->info.isCode) continue; // not code, keep looking else if (!thePrevLine->info.isFunction) { // not yet recognized, try it theCode = *(uint32_t*)thePrevLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (theCode == 0x7fe00008 || // ignore traps theCode == 0x60000000 || // ignore nops theCode == 0x00000000) // ignore .longs continue; else { thePrevLine->info.isFunction = YES; foundStart = YES; break; } } else // already recognized, bail { foundStart = YES; break; } } if (!foundStart) isFunction = YES; } } // if (theCode == 0x7c0802a6) return isFunction; } // codeIsBlockJump: // ---------------------------------------------------------------------------- - (BOOL)codeIsBlockJump: (UInt8*)inCode { uint32_t theCode = *(uint32_t*)inCode; theCode = OSSwapBigToHostInt32(theCode); return IS_BLOCK_BRANCH(theCode); } // gatherFuncInfos // ---------------------------------------------------------------------------- - (void)gatherFuncInfos { Line* theLine = iPlainLineListHead; uint32_t theCode; uint32_t progCounter = 0; // Loop thru lines. while (theLine) { if (!(progCounter % (PROGRESS_FREQ * 5))) { if (gCancel == YES) return; // [NSThread sleepForTimeInterval: 0.0]; } if (!theLine->info.isCode) { theLine = theLine->next; continue; } theCode = *(uint32_t*)theLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (theLine->info.isFunction) { iCurrentFuncPtr = theLine->info.address; [self resetRegisters:theLine]; } else [self restoreRegisters:theLine]; [self updateRegisters:theLine]; // Check if we need to save the machine state. if (IS_BLOCK_BRANCH(theCode) && iCurrentFuncInfoIndex >= 0 && PO(theCode) != 0x13) // no new blocks for blr, bctr { uint32_t branchTarget = 0; // Retrieve the branch target. if (PO(theCode) == 0x12) // b branchTarget = theLine->info.address + LI(theCode); else if (PO(theCode) == 0x10) // bc branchTarget = theLine->info.address + BD(theCode); // Retrieve current FunctionInfo. FunctionInfo* funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; // 'currentBlock' will point to either an existing block which // we will update, or a newly allocated block. BlockInfo* currentBlock = NULL; Line* endLine = NULL; BOOL isEpilog = NO; uint32_t i; if (funcInfo->blocks) { // Blocks exist, find 1st one matching this address. // This is an exhaustive search, but the speed hit should // only be an issue with extremely long functions. for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress == branchTarget) { currentBlock = &funcInfo->blocks[i]; break; } } if (currentBlock) { // Determine if the target block is an epilog. if (currentBlock->endLine == NULL && iOpts.returnStatements) { // Find the first line of the target block. Line searchKey = {NULL, 0, NULL, NULL, NULL, {branchTarget, {0}, YES, NO}}; Line* searchKeyPtr = &searchKey; Line** beginLine = bsearch(&searchKeyPtr, iLineArray, iNumCodeLines, sizeof(Line*), (COMPARISON_FUNC_TYPE)Line_Address_Compare); if (beginLine != NULL) { // Walk through the block. It's an epilog if it ends // with 'blr' and contains no 'bl's. Line* nextLine = *beginLine; BOOL canBeEpliog = YES; uint32_t tempCode; while (nextLine) { tempCode = *(uint32_t*)nextLine->info.code; tempCode = OSSwapBigToHostInt32(tempCode); if (IS_BRANCH_LINK(tempCode)) canBeEpliog = NO; if (IS_BLOCK_BRANCH(tempCode)) { endLine = nextLine; if (canBeEpliog && IS_BLR(tempCode)) isEpilog = YES; break; } nextLine = nextLine->next; } } // currentBlock->endLine = endLine; } } else { // No matching blocks found, so allocate a new one. funcInfo->numBlocks++; funcInfo->blocks = realloc(funcInfo->blocks, sizeof(BlockInfo) * funcInfo->numBlocks); currentBlock = &funcInfo->blocks[funcInfo->numBlocks - 1]; *currentBlock = (BlockInfo){0}; } } else { // No existing blocks, allocate one. funcInfo->numBlocks++; funcInfo->blocks = calloc(1, sizeof(BlockInfo)); currentBlock = funcInfo->blocks; } // sanity check if (!currentBlock) { fprintf(stderr, "otx: [PPCProcessor gatherFuncInfos] " "currentBlock is NULL. Flame the dev.\n"); return; } // Create a new MachineState. GPRegisterInfo* savedRegs = malloc( sizeof(GPRegisterInfo) * 34); memcpy(savedRegs, iRegInfos, sizeof(GPRegisterInfo) * 32); savedRegs[LRIndex] = iLR; savedRegs[CTRIndex] = iCTR; VarInfo* savedSelves = NULL; if (iLocalSelves) { savedSelves = malloc( sizeof(VarInfo) * iNumLocalSelves); memcpy(savedSelves, iLocalSelves, sizeof(VarInfo) * iNumLocalSelves); } VarInfo* savedVars = NULL; if (iLocalVars) { savedVars = malloc( sizeof(VarInfo) * iNumLocalVars); memcpy(savedVars, iLocalVars, sizeof(VarInfo) * iNumLocalVars); } MachineState machState = {savedRegs, savedSelves, iNumLocalSelves, savedVars, iNumLocalVars}; // Store the new BlockInfo. BlockInfo blockInfo = {branchTarget, endLine, isEpilog, machState}; memcpy(currentBlock, &blockInfo, sizeof(BlockInfo)); } theLine = theLine->next; progCounter++; } iCurrentFuncInfoIndex = -1; } #ifdef OTX_DEBUG // printBlocks: // ---------------------------------------------------------------------------- - (void)printBlocks: (uint32_t)inFuncIndex; { if (!iFuncInfos) return; FunctionInfo* funcInfo = &iFuncInfos[inFuncIndex]; if (!funcInfo || !funcInfo->blocks) return; uint32_t i, j; fprintf(stderr, "\nfunction at 0x%x:\n\n", funcInfo->address); fprintf(stderr, "%d blocks\n", funcInfo->numBlocks); for (i = 0; i < funcInfo->numBlocks; i++) { fprintf(stderr, "\nblock %d at 0x%x:\n\n", i + 1, funcInfo->blocks[i].beginAddress); for (j = 0; j < 32; j++) { if (!funcInfo->blocks[i].state.regInfos[j].isValid) continue; fprintf(stderr, "\t\tr%d: 0x%x\n", j, funcInfo->blocks[i].state.regInfos[j].value); } } } #endif // OTX_DEBUG @end
github
zhangchn/otx-master
Exe32Processor.m
.m
otx-master/src/source/Processors/Exe32Processor.m
71,832
utf_8
fb7d3166b5926cb8213fe98a8dd69574
/* Exe32Processor.m This file relies upon, and steals code from, the cctools source code available from: http://www.opensource.apple.com/darwinsource/ This file is in the public domain. */ #import <Cocoa/Cocoa.h> #import <mach/mach_time.h> #import "Exe32Processor.h" #import "ArchSpecifics.h" #import "ListUtils.h" #import "ObjcAccessors.h" #import "ObjectLoader.h" #import "Searchers.h" #import "SysUtils.h" #import "UserDefaultKeys.h" #import "X86Processor.h" @implementation Exe32Processor // Exe32Processor is a base class that handles processor-independent issues. // PPCProcessor and X86Processor are subclasses that add functionality // specific to those CPUs. The AppController class creates a new instance of // one of those subclasses for each processing, and deletes the instance as // soon as possible. Member variables may or may not be re-initialized before // destruction. Do not reuse a single instance of those subclasses for // multiple processings. // initWithURL:controller:options: // ---------------------------------------------------------------------------- - (id)initWithURL: (NSURL*)inURL controller: (id)inController options: (ProcOptions*)inOptions { if (!inURL || !inController || !inOptions) return nil; if ((self = [super initWithURL: inURL controller: inController options: inOptions]) == nil) return nil; return self; } // dealloc // ---------------------------------------------------------------------------- - (void)dealloc { if (iFuncSyms) { free(iFuncSyms); iFuncSyms = NULL; } if (iObjcSects) { free(iObjcSects); iObjcSects = NULL; } if (iClassMethodInfos) { free(iClassMethodInfos); iClassMethodInfos = NULL; } if (iCatMethodInfos) { free(iCatMethodInfos); iCatMethodInfos = NULL; } if (iClassIvars) { free(iClassIvars); iClassIvars = NULL; } if (iLineArray) { free(iLineArray); iLineArray = NULL; } [self deleteFuncInfos]; [self deleteLinesFromList: iPlainLineListHead]; [self deleteLinesFromList: iVerboseLineListHead]; } // deleteFuncInfos // ---------------------------------------------------------------------------- - (void)deleteFuncInfos { if (!iFuncInfos) return; uint32_t i; uint32_t j; FunctionInfo* funcInfo; BlockInfo* blockInfo; for (i = 0; i < iNumFuncInfos; i++) { funcInfo = &iFuncInfos[i]; if (funcInfo->blocks) { for (j = 0; j < funcInfo->numBlocks; j++) { blockInfo = &funcInfo->blocks[j]; if (blockInfo->state.regInfos) { free(blockInfo->state.regInfos); blockInfo->state.regInfos = NULL; } if (blockInfo->state.localSelves) { free(blockInfo->state.localSelves); blockInfo->state.localSelves = NULL; } } free(funcInfo->blocks); funcInfo->blocks = NULL; } } free(iFuncInfos); iFuncInfos = NULL; } #pragma mark - // processExe: // ---------------------------------------------------------------------------- // The master processing method, designed to be executed in a separate thread. - (BOOL)processExe: (NSString*)inOutputFilePath { if (!iFileArchMagic) { fprintf(stderr, "otx: tried to process non-machO file\n"); return NO; } iOutputFilePath = inOutputFilePath; iMachHeaderPtr = NULL; if (![self loadMachHeader]) { fprintf(stderr, "otx: failed to load mach header\n"); return NO; } [self loadLCommands]; NSMutableDictionary* progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithBool: YES], PRNewLineKey, @"Calling otool", PRDescriptionKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif [self populateLineLists]; if (gCancel == YES) return NO; progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithBool: YES], PRNewLineKey, @"Gathering info", PRDescriptionKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif // Gather info about lines while they're virgin. [self gatherLineInfos]; if (gCancel == YES) return NO; // Find functions and allocate funcInfo's. [self findFunctions]; if (gCancel == YES) return NO; // Gather info about logical blocks. The second pass applies info // for backward branches. [self gatherFuncInfos]; if (gCancel == YES) return NO; [self gatherFuncInfos]; if (gCancel == YES) return NO; uint32_t progCounter = 0; double progValue = 0.0; progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithBool: NO], PRIndeterminateKey, [NSNumber numberWithDouble: progValue], PRValueKey, [NSNumber numberWithBool: YES], PRNewLineKey, @"Generating file", PRDescriptionKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif Line* theLine = iPlainLineListHead; // Loop thru lines. while (theLine) { if (!(progCounter % PROGRESS_FREQ)) { if (gCancel == YES) return NO; progValue = (double)progCounter / iNumLines * 100; progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithDouble: progValue], PRValueKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif } if (theLine->info.isCode) { [self processCodeLine:&theLine]; if (iOpts.entabOutput) [self entabLine:theLine]; } else [self processLine:theLine]; theLine = theLine->next; progCounter++; } if (gCancel == YES) return NO; progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithBool: YES], PRIndeterminateKey, [NSNumber numberWithBool: YES], PRNewLineKey, @"Writing file", PRDescriptionKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif // Create output file. if (![self printLinesFromList: iPlainLineListHead]) { return NO; } if (iOpts.dataSections) { if (![self printDataSections]) { return NO; } } progDict = [[NSMutableDictionary alloc] initWithObjectsAndKeys: [NSNumber numberWithBool: YES], PRCompleteKey, nil]; #ifdef OTX_CLI [iController reportProgress: progDict]; #else [iController performSelectorOnMainThread: @selector(reportProgress:) withObject: progDict waitUntilDone: NO]; #endif return YES; } // populateLineLists // ---------------------------------------------------------------------------- - (BOOL)populateLineLists { Line* thePrevVerboseLine = NULL; Line* thePrevPlainLine = NULL; // Read __text lines. [self populateLineList: &iVerboseLineListHead verbosely: YES fromSection: "__text" afterLine: &thePrevVerboseLine includingPath: YES]; [self populateLineList: &iPlainLineListHead verbosely: NO fromSection: "__text" afterLine: &thePrevPlainLine includingPath: YES]; // Read __coalesced_text lines. if (iCoalTextSect.size) { [self populateLineList: &iVerboseLineListHead verbosely: YES fromSection: "__coalesced_text" afterLine: &thePrevVerboseLine includingPath: NO]; [self populateLineList: &iPlainLineListHead verbosely: NO fromSection: "__coalesced_text" afterLine: &thePrevPlainLine includingPath: NO]; } // Read __textcoal_nt lines. if (iCoalTextNTSect.size) { [self populateLineList: &iVerboseLineListHead verbosely: YES fromSection: "__textcoal_nt" afterLine: &thePrevVerboseLine includingPath: NO]; [self populateLineList: &iPlainLineListHead verbosely: NO fromSection: "__textcoal_nt" afterLine: &thePrevPlainLine includingPath: NO]; } // Connect the 2 lists. Line* verboseLine = iVerboseLineListHead; Line* plainLine = iPlainLineListHead; while (verboseLine && plainLine) { verboseLine->alt = plainLine; plainLine->alt = verboseLine; verboseLine = verboseLine->next; plainLine = plainLine->next; } // Optionally insert md5. if (iOpts.checksum) [self insertMD5]; return YES; } // populateLineList:verbosely:fromSection:afterLine:includingPath: // ---------------------------------------------------------------------------- - (BOOL)populateLineList: (Line**)inList verbosely: (BOOL)inVerbose fromSection: (char*)inSectionName afterLine: (Line**)inLine includingPath: (BOOL)inIncludePath { char cmdString[MAX_UNIBIN_OTOOL_CMD_SIZE] = ""; NSString* otoolPath = [self pathForTool: @"otool"]; NSUInteger otoolPathLength = [otoolPath length]; size_t archStringLength = strlen(iArchString); // otool freaks out when somebody says -arch and it's not a unibin. if (iExeIsFat) { // Bail if it won't fit. if ((otoolPathLength + archStringLength + 7 /* strlen(" -arch ") */) >= MAX_UNIBIN_OTOOL_CMD_SIZE) return NO; snprintf(cmdString, MAX_UNIBIN_OTOOL_CMD_SIZE, "%s -arch %s", [otoolPath UTF8String], iArchString); } else { // Bail if it won't fit. if (otoolPathLength >= MAX_UNIBIN_OTOOL_CMD_SIZE) return NO; strncpy(cmdString, [otoolPath UTF8String], otoolPathLength); } NSString* oPath = [iOFile path]; NSString* otoolString = [NSString stringWithFormat: @"%s %s -s __TEXT %s \"%@\"%s", cmdString, (inVerbose) ? "-VQ" : "-vQ", inSectionName, oPath, (inIncludePath) ? "" : " | sed '1 d'"]; FILE* otoolPipe = popen(UTF8STRING(otoolString), "r"); if (!otoolPipe) { fprintf(stderr, "otx: unable to open %s otool pipe\n", (inVerbose) ? "verbose" : "plain"); return NO; } char theCLine[MAX_LINE_LENGTH]; while (fgets(theCLine, MAX_LINE_LENGTH, otoolPipe)) { // Many thanx to Peter Hosey for the calloc speed test. // http://boredzo.org/blog/archives/2006-11-26/calloc-vs-malloc Line* theNewLine = calloc(1, sizeof(Line)); theNewLine->length = strlen(theCLine); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, theCLine, theNewLine->length + 1); // Add the line to the list. [self insertLine:theNewLine after:*inLine inList:inList]; *inLine = theNewLine; } if (pclose(otoolPipe) == -1) { perror((inVerbose) ? "otx: unable to close verbose otool pipe" : "otx: unable to close plain otool pipe"); return NO; } return YES; } #pragma mark - // gatherLineInfos // ---------------------------------------------------------------------------- // To make life easier as we make changes to the lines, whatever info we need // is harvested early here. - (void)gatherLineInfos { Line* theLine = iPlainLineListHead; uint32_t progCounter = 0; while (theLine) { if (!(progCounter % (PROGRESS_FREQ * 5))) { if (gCancel == YES) return; // [NSThread sleepForTimeInterval: 0.0]; } if ([self lineIsCode:theLine->chars]) { theLine->info.isCode = YES; theLine->info.address = [self addressFromLine:theLine->chars]; [self codeFromLine:theLine]; // FIXME: return a value like the cool kids do. if (theLine->alt) { theLine->alt->info.isCode = theLine->info.isCode; theLine->alt->info.address = theLine->info.address; theLine->alt->info.codeLength = theLine->info.codeLength; memcpy(theLine->alt->info.code, theLine->info.code, sizeof(theLine->info.code)); } [self checkThunk:theLine]; } else // not code... { if (strstr(theLine->chars, "(__TEXT,__coalesced_text)")) iEndOfText = iCoalTextSect.s.addr + iCoalTextSect.s.size; else if (strstr(theLine->chars, "(__TEXT,__textcoal_nt)")) iEndOfText = iCoalTextNTSect.s.addr + iCoalTextNTSect.s.size; } theLine = theLine->next; progCounter++; iNumLines++; } iEndOfText = iTextSect.s.addr + iTextSect.s.size; } // findFunctions // ---------------------------------------------------------------------------- - (void)findFunctions { // Loop once to flag all funcs. Line* theLine = iPlainLineListHead; while (theLine) { theLine->info.isFunction = [self lineIsFunction:theLine]; if (theLine->alt) theLine->alt->info.isFunction = theLine->info.isFunction; theLine = theLine->next; } // Loop again to allocate funcInfo's. theLine = iPlainLineListHead; iLineArray = calloc(iNumLines, sizeof(Line*)); iNumCodeLines = 0; while (theLine) { if (theLine->info.isFunction) { iNumFuncInfos++; iFuncInfos = realloc(iFuncInfos, sizeof(FunctionInfo) * iNumFuncInfos); uint32_t genericFuncNum = 0; if (theLine->prev && theLine->prev->info.isCode) genericFuncNum = ++iCurrentGenericFuncNum; iFuncInfos[iNumFuncInfos - 1] = (FunctionInfo) {theLine->info.address, NULL, 0, genericFuncNum}; } if (theLine->info.isCode) iLineArray[iNumCodeLines++] = theLine; theLine = theLine->next; } } // processLine: // ---------------------------------------------------------------------------- - (void)processLine: (Line*)ioLine; { if (!strlen(ioLine->chars)) return; // otool is inconsistent in printing section headers. Sometimes it // prints "Contents of (x)" and sometimes just "(x)". We'll take this // opportunity to use the shorter version in all cases. char* theContentsString = "Contents of "; UInt8 theContentsStringLength = strlen(theContentsString); char* theTextSegString = "(__TEXT,__"; // Kill the "Contents of" if it exists. if (strstr(ioLine->chars, theContentsString)) { char theTempLine[MAX_LINE_LENGTH]; theTempLine[0] = '\n'; theTempLine[1] = 0; strncat(theTempLine, &ioLine->chars[theContentsStringLength], strlen(&ioLine->chars[theContentsStringLength])); ioLine->length = strlen(theTempLine); strncpy(ioLine->chars, theTempLine, ioLine->length + 1); return; } else if (strstr(ioLine->chars, theTextSegString)) { if (strstr(ioLine->chars, "__coalesced_text)")) { iEndOfText = iCoalTextSect.s.addr + iCoalTextSect.s.size; iCurrentFunctionStart = ioLine->info.address; } else if (strstr(ioLine->chars, "__textcoal_nt)")) { iEndOfText = iCoalTextNTSect.s.addr + iCoalTextNTSect.s.size; iCurrentFunctionStart = ioLine->info.address; } char theTempLine[MAX_LINE_LENGTH]; theTempLine[0] = '\n'; theTempLine[1] = 0; strncat(theTempLine, ioLine->chars, strlen(ioLine->chars)); ioLine->length++; ioLine->chars = (char*)realloc(ioLine->chars, ioLine->length + 1); strncpy(ioLine->chars, theTempLine, ioLine->length + 1); return; } // If we got here, we have a symbol name. if (iOpts.demangleCppNames) { if (strstr(ioLine->chars, "__Z") == ioLine->chars) { char demangledName[MAX_LINE_LENGTH]; // Line should end with ":\n". Terminate over the colon if it exists. if (ioLine->chars[ioLine->length - 2] == ':') ioLine->chars[ioLine->length - 2] = 0; else ioLine->chars[ioLine->length - 1] = 0; NSFileHandle* filtWrite = [iCPFiltInputPipe fileHandleForWriting]; NSFileHandle* filtRead = [iCPFiltOutputPipe fileHandleForReading]; NSMutableData* dataToWrite = [NSMutableData dataWithBytes: ioLine->chars length: strlen(ioLine->chars)]; [dataToWrite appendBytes: "\n" length: 1]; @try { [filtWrite writeData: dataToWrite]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processLine:] failed to write to c++filt: %@", [e reason]); } NSData* readData = nil; @try { readData = [filtRead availableData]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processLine:] failed to read from c++filt: %@", [e reason]); } if (readData != nil) { NSUInteger demangledDataLength = [readData length]; NSUInteger demangledStringLength = MIN(demangledDataLength, MAX_LINE_LENGTH - 1); if (demangledStringLength < demangledDataLength) NSLog(@"otx: demangled C++ name is too large. Increase MAX_LINE_LENGTH to %lu.\n" "Name demangling will now go off the rails.", (unsigned long)demangledDataLength); // Get the string and terminate it. [readData getBytes: demangledName length: demangledStringLength]; demangledName[demangledStringLength] = 0; free(ioLine->chars); ioLine->length = demangledStringLength; ioLine->chars = malloc(ioLine->length + 1); strncpy(ioLine->chars, demangledName, ioLine->length + 1); } else { NSLog(@"otx: [Exe32Processor processLine:] got nil data from c++filt"); } } } } // processCodeLine: // ---------------------------------------------------------------------------- - (void)processCodeLine: (Line**)ioLine; { if (!ioLine || !(*ioLine) || !((*ioLine)->chars)) { fprintf(stderr, "otx: tried to process NULL code line\n"); return; } [self chooseLine:ioLine]; size_t theOrigLength = (*ioLine)->length; char localOffsetString[9] = {0}; char theAddressCString[9] = {0}; char theMnemonicCString[20] = {0}; char addrSpaces[MAX_FIELD_SPACING]; char instSpaces[MAX_FIELD_SPACING]; char mnemSpaces[MAX_FIELD_SPACING]; char opSpaces[MAX_FIELD_SPACING]; char commentSpaces[MAX_FIELD_SPACING]; char theOrigCommentCString[MAX_COMMENT_LENGTH]; char theCommentCString[MAX_COMMENT_LENGTH]; theOrigCommentCString[0] = 0; theCommentCString[0] = 0; // Swap in saved registers if necessary BOOL needNewLine = [self restoreRegisters:*ioLine]; iLineOperandsCString[0] = 0; char* origFormatString = "%s\t%s\t%s%n"; uint32_t consumedAfterOp = 0; // The address and mnemonic always exist, separated by a tab. sscanf((*ioLine)->chars, origFormatString, theAddressCString, theMnemonicCString, iLineOperandsCString, &consumedAfterOp); // If we didn't grab everything up to the newline, there's a comment // remaining. Copy it, starting after the preceding tab. if (consumedAfterOp && consumedAfterOp < theOrigLength - 1) { size_t origCommentLength = theOrigLength - consumedAfterOp - 1; strncpy(theOrigCommentCString, (*ioLine)->chars + consumedAfterOp + 1, origCommentLength); // Add the null terminator. theOrigCommentCString[origCommentLength - 1] = 0; } char theCodeCString[32] = {0}; UInt8* inBuffer = (*ioLine)->info.code; SInt16 i; char codeFormatString[61] = "%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x%02x"; if ((*ioLine)->info.codeLength > 15) { fprintf(stderr, "otx: surprisingly long instruction of %u bytes at 0x%08x\n", (*ioLine)->info.codeLength, (*ioLine)->info.address); return; } codeFormatString[(*ioLine)->info.codeLength * 4] = 0; snprintf(theCodeCString, 31, codeFormatString, inBuffer[0], inBuffer[1], inBuffer[2], inBuffer[3], inBuffer[4], inBuffer[5], inBuffer[6], inBuffer[7], inBuffer[8], inBuffer[9], inBuffer[10], inBuffer[11], inBuffer[12], inBuffer[13], inBuffer[14]); i = iFieldWidths.instruction - strlen(theCodeCString); mnemSpaces[i - 1] = 0; for (; i > 1; i--) mnemSpaces[i - 2] = 0x20; i = iFieldWidths.mnemonic - strlen(theMnemonicCString); opSpaces[i - 1] = 0; for (; i > 1; i--) opSpaces[i - 2] = 0x20; // Fill up commentSpaces based on operands field width. if (iLineOperandsCString[0] && theOrigCommentCString[0]) { i = iFieldWidths.operands - strlen(iLineOperandsCString); commentSpaces[i - 1] = 0; for (; i > 1; i--) commentSpaces[i - 2] = 0x20; } // Remove "; symbol stub for: " if (theOrigCommentCString[0]) { char* theSubstring = strstr(theOrigCommentCString, "; symbol stub for: "); if (theSubstring) snprintf(theCommentCString, MAX_COMMENT_LENGTH, "%s", &theOrigCommentCString[19]); else snprintf(theCommentCString, MAX_COMMENT_LENGTH, "%s", theOrigCommentCString); } BOOL needFuncName = NO; char theMethCName[1000]; theMethCName[0] = 0; // Check if this is the beginning of a function. if ((*ioLine)->info.isFunction) { // Squash the new block flag, just in case. iEnteringNewBlock = NO; // New function, new local offset count and current func. iCurrentFunctionStart = iCurrentFuncPtr = (*ioLine)->info.address; // Try to build the method name. MethodInfo* theSwappedInfoPtr = NULL; MethodInfo theSwappedInfo; if ([self getObjcMethod:&theSwappedInfoPtr fromAddress:iCurrentFuncPtr]) { theSwappedInfo = *theSwappedInfoPtr; char* className = NULL; char* catName = NULL; if (iObjcVersion < 2) { if (iSwapped) { swap_objc1_32_method(&theSwappedInfo.m); swap_objc1_32_class(&theSwappedInfo.oc_class); swap_objc1_32_category(&theSwappedInfo.oc_cat); } if (theSwappedInfo.oc_cat.category_name) { className = [self getPointer:theSwappedInfo.oc_cat.class_name type:NULL]; catName = [self getPointer:theSwappedInfo.oc_cat.category_name type:NULL]; } else if (theSwappedInfo.oc_class.name) { className = [self getPointer:theSwappedInfo.oc_class.name type:NULL]; } } else if (iObjcVersion == 2) { if (iSwapped) { swap_objc2_32_method(&theSwappedInfo.m2); swap_objc2_32_class(&theSwappedInfo.oc_class2); } if (theSwappedInfo.oc_class2.data) { objc2_32_class_ro_t* roData = (objc2_32_class_ro_t*)(iObjcConstSect.contents + (uintptr_t)(theSwappedInfo.oc_class2.data - iObjcConstSect.s.addr)); UInt32 name = roData->name; if (iSwapped) name = OSSwapInt32(name); className = [self getPointer:name type:NULL]; } } if (className) { char* selName = [self getPointer:theSwappedInfo.m.method_name type:NULL]; if (selName) { if (!theSwappedInfo.m.method_types) return; char* methTypes = [self getPointer:theSwappedInfo.m.method_types type:NULL]; char returnCType[MAX_TYPE_STRING_LENGTH]; returnCType[0] = 0; if (methTypes) { [self decodeMethodReturnType: methTypes output: returnCType]; } else { strncpy(returnCType, "???", 4); } if (catName) { char* methNameFormat = iOpts.returnTypes ? "\n%1$c(%5$s)[%2$s(%3$s) %4$s]:\n" : "\n%c[%s(%s) %s]:\n"; snprintf(theMethCName, 1000, methNameFormat, (theSwappedInfo.inst) ? '-' : '+', className, catName, selName, returnCType); } else { char* methNameFormat = iOpts.returnTypes ? "\n%1$c(%4$s)[%2$s %3$s]:\n" : "\n%c[%s %s]:\n"; snprintf(theMethCName, 1000, methNameFormat, (theSwappedInfo.inst) ? '-' : '+', className, selName, returnCType); } } } } // if ([self getObjcMethod:&theSwappedInfoPtr fromAddress:mCurrentFuncPtr]) // Add or replace the method name if possible, else add '\n'. if ((*ioLine)->prev && (*ioLine)->prev->info.isCode) // prev line is code { if (theMethCName[0]) { Line* theNewLine = malloc(sizeof(Line)); theNewLine->length = strlen(theMethCName); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, theMethCName, theNewLine->length + 1); [self insertLine:theNewLine before:*ioLine inList:&iPlainLineListHead]; } else if ((*ioLine)->info.address == iAddrDyldStubBindingHelper) { Line* theNewLine = malloc(sizeof(Line)); char* theDyldName = "\ndyld_stub_binding_helper:\n"; theNewLine->length = strlen(theDyldName); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, theDyldName, theNewLine->length + 1); [self insertLine:theNewLine before:*ioLine inList:&iPlainLineListHead]; } else if ((*ioLine)->info.address == iAddrDyldFuncLookupPointer) { Line* theNewLine = malloc(sizeof(Line)); char* theDyldName = "\n__dyld_func_lookup:\n"; theNewLine->length = strlen(theDyldName); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, theDyldName, theNewLine->length + 1); [self insertLine:theNewLine before:*ioLine inList:&iPlainLineListHead]; } else needFuncName = YES; } else // prev line is not code { if (theMethCName[0]) { Line* theNewLine = malloc(sizeof(Line)); theNewLine->length = strlen(theMethCName); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, theMethCName, theNewLine->length + 1); [self replaceLine:(*ioLine)->prev withLine:theNewLine inList:&iPlainLineListHead]; } else { // theMethName sux, add '\n' to otool's method name. char theNewLine[MAX_LINE_LENGTH]; if ((*ioLine)->prev->chars[0] != '\n') { theNewLine[0] = '\n'; theNewLine[1] = 0; } else theNewLine[0] = 0; strncat(theNewLine, (*ioLine)->prev->chars, (*ioLine)->prev->length); free((*ioLine)->prev->chars); (*ioLine)->prev->length = strlen(theNewLine); (*ioLine)->prev->chars = malloc((*ioLine)->prev->length + 1); strncpy((*ioLine)->prev->chars, theNewLine, (*ioLine)->prev->length + 1); } } [self resetRegisters:*ioLine]; } // if ((*ioLine)->info.isFunction) // Find a comment if necessary. if (!theCommentCString[0]) { [self commentForLine:*ioLine]; size_t origCommentLength = strlen(iLineCommentCString); if (origCommentLength) { char tempComment[MAX_COMMENT_LENGTH]; uint32_t i, j = 0; // Escape newlines, carriage returns and tabs. for (i = 0; i < origCommentLength; i++) { if (iLineCommentCString[i] == '\n') { tempComment[j++] = '\\'; tempComment[j++] = 'n'; } else if (iLineCommentCString[i] == '\r') { tempComment[j++] = '\\'; tempComment[j++] = 'r'; } else if (iLineCommentCString[i] == '\t') { tempComment[j++] = '\\'; tempComment[j++] = 't'; } else tempComment[j++] = iLineCommentCString[i]; } // Add the null terminator. tempComment[j] = 0; if (iLineOperandsCString[0]) snprintf(theCommentCString, MAX_COMMENT_LENGTH, "%s", tempComment); else snprintf(iLineOperandsCString, MAX_COMMENT_LENGTH, "%s", tempComment); // Fill up commentSpaces based on operands field width. SInt32 k = (SInt32)(iFieldWidths.operands - strlen(iLineOperandsCString)); commentSpaces[k - 1] = 0; for (; k > 1; k--) commentSpaces[k - 2] = 0x20; } } // if (!theCommentCString[0]) else // otool gave us a comment. { // Optionally modify otool's comment. if (iOpts.verboseMsgSends) [self commentForMsgSend:theCommentCString fromLine:*ioLine]; } // Demangle operands if necessary. if (iLineOperandsCString[0] && iOpts.demangleCppNames) { if (strstr(iLineOperandsCString, "__Z") == iLineOperandsCString) { char demangledName[MAX_OPERANDS_LENGTH]; NSFileHandle* filtWrite = [iCPFiltInputPipe fileHandleForWriting]; NSFileHandle* filtRead = [iCPFiltOutputPipe fileHandleForReading]; NSMutableData* dataToWrite = [NSMutableData dataWithBytes: iLineOperandsCString length: strlen(iLineOperandsCString)]; [dataToWrite appendBytes: "\n" length: 1]; @try { [filtWrite writeData: dataToWrite]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processCodeLine:] failed to write operands to c++filt: %@", [e reason]); } NSData* readData = nil; @try { readData = [filtRead availableData]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processCodeLine:] failed to read operands from c++filt: %@", [e reason]); } if (readData != nil) { NSUInteger demangledDataLength = [readData length]; NSUInteger demangledStringLength = MIN(demangledDataLength, MAX_OPERANDS_LENGTH - 1); if (demangledStringLength < demangledDataLength) NSLog(@"otx: demangled C++ name is too large. Increase MAX_OPERANDS_LENGTH to %lu.\n" "Name demangling will now go off the rails.", (unsigned long)demangledDataLength); [readData getBytes: demangledName length: demangledStringLength]; // Remove the trailing newline and terminate. demangledStringLength--; demangledName[demangledStringLength] = 0; strncpy(iLineOperandsCString, demangledName, demangledStringLength + 1); } else { NSLog(@"otx: [Exe32Processor processCodeLine:] got nil operands data from c++filt"); } } } // Demangle comment if necessary. if (theCommentCString[0] && iOpts.demangleCppNames) { if (strstr(theCommentCString, "__Z") == theCommentCString) { char demangledName[MAX_COMMENT_LENGTH]; NSFileHandle* filtWrite = [iCPFiltInputPipe fileHandleForWriting]; NSFileHandle* filtRead = [iCPFiltOutputPipe fileHandleForReading]; NSMutableData* dataToWrite = [NSMutableData dataWithBytes: theCommentCString length: strlen(theCommentCString)]; [dataToWrite appendBytes: "\n" length: 1]; @try { [filtWrite writeData: dataToWrite]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processCodeLine:] failed to write comment to c++filt: %@", [e reason]); } NSData* readData = nil; @try { readData = [filtRead availableData]; } @catch (NSException* e) { NSLog(@"otx: [Exe32Processor processCodeLine:] failed to read comment from c++filt: %@", [e reason]); } if (readData != nil) { NSUInteger demangledDataLength = [readData length]; NSUInteger demangledStringLength = MIN(demangledDataLength, MAX_COMMENT_LENGTH - 1); if (demangledStringLength < demangledDataLength) NSLog(@"otx: demangled C++ name is too large. Increase MAX_COMMENT_LENGTH to %lu.\n" "Name demangling will now go off the rails.", (unsigned long)demangledDataLength); [readData getBytes: demangledName length: demangledStringLength]; // Remove the trailing newline and terminate. demangledStringLength--; demangledName[demangledStringLength] = 0; strncpy(theCommentCString, demangledName, demangledStringLength + 1); } else { NSLog(@"otx: [Exe32Processor processCodeLine:] got nil comment data from c++filt"); } } } // Optionally add local offset. if (iOpts.localOffsets) { // Build a right-aligned string with a '+' in it. snprintf((char*)&localOffsetString, iFieldWidths.offset, "%6u", ((*ioLine)->info.address - iCurrentFunctionStart)); // Find the space that's followed by a nonspace. // *Reverse count to optimize for short functions. for (i = 0; i < 5; i++) { if (localOffsetString[i] == 0x20 && localOffsetString[i + 1] != 0x20) { localOffsetString[i] = '+'; break; } } // Fill up addrSpaces based on offset field width. i = iFieldWidths.offset - 6; addrSpaces[i - 1] = 0; for (; i > 1; i--) addrSpaces[i - 2] = 0x20; } // Fill up instSpaces based on address field width. i = iFieldWidths.address - 8; instSpaces[i - 1] = 0; for (; i > 1; i--) instSpaces[i - 2] = 0x20; // Insert a generic function name if needed. if (needFuncName) { FunctionInfo searchKey = {(*ioLine)->info.address, NULL, 0, 0}; FunctionInfo* funcInfo = bsearch(&searchKey, iFuncInfos, iNumFuncInfos, sizeof(FunctionInfo), (COMPARISON_FUNC_TYPE)Function_Info_Compare); // sizeof(UINT32_MAX) + '\n' * 2 + ':' + null term UInt8 maxlength = ANON_FUNC_BASE_LENGTH + 14; Line* funcName = calloc(1, sizeof(Line)); funcName->chars = malloc(maxlength); // Hack Alert: In the case that we have too few funcInfo's, print // \nAnon???. Of course, we'll still intermittently crash later, but // when we don't, the output will look pretty. // Replace "if (funcInfo)" from rev 319 around this... if (funcInfo) funcName->length = snprintf(funcName->chars, maxlength, "\n%s%d:\n", ANON_FUNC_BASE, funcInfo->genericFuncNum); else funcName->length = snprintf(funcName->chars, maxlength, "\n%s???:\n", ANON_FUNC_BASE); [self insertLine:funcName before:*ioLine inList:&iPlainLineListHead]; } // Finally, assemble the new string. char finalFormatCString[MAX_FORMAT_LENGTH]; uint32_t formatMarker = 0; if (needNewLine) { formatMarker++; finalFormatCString[0] = '\n'; finalFormatCString[1] = 0; } else finalFormatCString[0] = 0; if (iOpts.localOffsets) formatMarker += snprintf(&finalFormatCString[formatMarker], 10, "%s", "%s %s"); if (iOpts.showCode) formatMarker += snprintf(&finalFormatCString[formatMarker], 10, "%s", "%s %s"); if (iLineOperandsCString[0]) { if (theCommentCString[0]) snprintf(&finalFormatCString[formatMarker], 30, "%s", "%s %s%s %s%s %s%s\n"); else snprintf(&finalFormatCString[formatMarker], 30, "%s", "%s %s%s %s%s\n"); } else snprintf(&finalFormatCString[formatMarker], 30, "%s", "%s %s%s\n"); char theFinalCString[MAX_LINE_LENGTH] = ""; if (iOpts.localOffsets && iOpts.showCode) snprintf(theFinalCString, MAX_LINE_LENGTH, finalFormatCString, localOffsetString, addrSpaces, theAddressCString, instSpaces, theCodeCString, mnemSpaces, theMnemonicCString, opSpaces, iLineOperandsCString, commentSpaces, theCommentCString); else if (iOpts.localOffsets) snprintf(theFinalCString, MAX_LINE_LENGTH, finalFormatCString, localOffsetString, addrSpaces, theAddressCString, instSpaces, theMnemonicCString, opSpaces, iLineOperandsCString, commentSpaces, theCommentCString); else if (iOpts.showCode) snprintf(theFinalCString, MAX_LINE_LENGTH, addrSpaces, theAddressCString, instSpaces, theCodeCString, mnemSpaces, theMnemonicCString, opSpaces, iLineOperandsCString, commentSpaces, theCommentCString); else snprintf(theFinalCString, MAX_LINE_LENGTH, finalFormatCString, theAddressCString, instSpaces, theMnemonicCString, opSpaces, iLineOperandsCString, commentSpaces, theCommentCString); free((*ioLine)->chars); if (iOpts.separateLogicalBlocks && iEnteringNewBlock && theFinalCString[0] != '\n') { (*ioLine)->length = strlen(theFinalCString) + 1; (*ioLine)->chars = malloc((*ioLine)->length + 1); (*ioLine)->chars[0] = '\n'; strncpy(&(*ioLine)->chars[1], theFinalCString, (*ioLine)->length); } else { (*ioLine)->length = strlen(theFinalCString); (*ioLine)->chars = malloc((*ioLine)->length + 1); strncpy((*ioLine)->chars, theFinalCString, (*ioLine)->length + 1); } // The test above can fail even if mEnteringNewBlock was YES, so we // should reset it here instead. iEnteringNewBlock = NO; [self updateRegisters:*ioLine]; [self postProcessCodeLine:ioLine]; // Possibly prepend a \n to the following line. if ([self codeIsBlockJump:(*ioLine)->info.code]) iEnteringNewBlock = YES; } // addressFromLine: // ---------------------------------------------------------------------------- - (uint32_t)addressFromLine: (const char*)inLine { // sanity check if ((inLine[0] < '0' || inLine[0] > '9') && (inLine[0] < 'a' || inLine[0] > 'f')) return 0; uint32_t theAddress = 0; sscanf(inLine, "%08x", &theAddress); return theAddress; } // lineIsCode: // ---------------------------------------------------------------------------- // Line is code if first 8 chars are hex numbers and 9th is tab. - (BOOL)lineIsCode: (const char*)inLine { if (strlen(inLine) < 10) return NO; UInt16 i; for (i = 0 ; i < 8; i++) { if ((inLine[i] < '0' || inLine[i] > '9') && (inLine[i] < 'a' || inLine[i] > 'f')) return NO; } return (inLine[8] == '\t'); } // chooseLine: // ---------------------------------------------------------------------------- // Subclasses may override. - (void)chooseLine: (Line**)ioLine {} #pragma mark - // printDataSections // ---------------------------------------------------------------------------- // Append data sections to output file. - (BOOL)printDataSections { FILE* outFile = NULL; if (iOutputFilePath) outFile = fopen(UTF8STRING(iOutputFilePath), "a"); else outFile = stdout; if (!outFile) { perror("otx: unable to open output file"); return NO; } if (iDataSect.size) { if (fprintf(outFile, "\n(__DATA,__data) section\n") < 0) { perror("otx: unable to write to output file"); return NO; } [self printDataSection: &iDataSect toFile: outFile]; } if (iCoalDataSect.size) { if (fprintf(outFile, "\n(__DATA,__coalesced_data) section\n") < 0) { perror("otx: unable to write to output file"); return NO; } [self printDataSection: &iCoalDataSect toFile: outFile]; } if (iCoalDataNTSect.size) { if (fprintf(outFile, "\n(__DATA,__datacoal_nt) section\n") < 0) { perror("otx: unable to write to output file"); return NO; } [self printDataSection: &iCoalDataNTSect toFile: outFile]; } if (iOutputFilePath) { if (fclose(outFile) != 0) { perror("otx: unable to close output file"); return NO; } } return YES; } // printDataSection:toFile: // ---------------------------------------------------------------------------- - (void)printDataSection: (section_info*)inSect toFile: (FILE*)outFile; { uint32_t i, j, k, bytesLeft; uint32_t theDataSize = inSect->size; char theLineCString[70]; char* theMachPtr = (char*)iMachHeaderPtr; theLineCString[0] = 0; for (i = 0; i < theDataSize; i += 16) { bytesLeft = theDataSize - i; if (bytesLeft < 16) // last line { theLineCString[0] = 0; snprintf(theLineCString, 20 ,"%08x |", inSect->s.addr + i); unsigned char theHexData[17] = {0}; unsigned char theASCIIData[17] = {0}; memcpy(theHexData, (const void*)(theMachPtr + inSect->s.offset + i), bytesLeft); memcpy(theASCIIData, (const void*)(theMachPtr + inSect->s.offset + i), bytesLeft); j = 10; for (k = 0; k < bytesLeft; k++) { if (!(k % 4)) theLineCString[j++] = 0x20; snprintf(&theLineCString[j], 4, "%02x", theHexData[k]); j += 2; if (theASCIIData[k] < 0x20 || theASCIIData[k] == 0x7f) theASCIIData[k] = '.'; } // Append spaces. for (; j < 48; j++) theLineCString[j] = 0x20; // Append ASCII chars. snprintf(&theLineCString[j], 70, "%s\n", theASCIIData); } else // first lines { uint32_t* theHexPtr = (uint32_t*) (theMachPtr + inSect->s.offset + i); unsigned char theASCIIData[17] = {0}; UInt8 j; memcpy(theASCIIData, (const void*)(theMachPtr + inSect->s.offset + i), 16); for (j = 0; j < 16; j++) if (theASCIIData[j] < 0x20 || theASCIIData[j] == 0x7f) theASCIIData[j] = '.'; #if TARGET_RT_LITTLE_ENDIAN theHexPtr[0] = OSSwapInt32(theHexPtr[0]); theHexPtr[1] = OSSwapInt32(theHexPtr[1]); theHexPtr[2] = OSSwapInt32(theHexPtr[2]); theHexPtr[3] = OSSwapInt32(theHexPtr[3]); #endif snprintf(theLineCString, sizeof(theLineCString), "%08x | %08x %08x %08x %08x %s\n", inSect->s.addr + i, theHexPtr[0], theHexPtr[1], theHexPtr[2], theHexPtr[3], theASCIIData); } if (fprintf(outFile, "%s", theLineCString) < 0) { perror("otx: [ExeProcessor printDataSection:toFile:]: " "unable to write to output file"); return; } } } #pragma mark - // selectorForMsgSend:fromLine: // ---------------------------------------------------------------------------- // Subclasses may override. - (char*)selectorForMsgSend: (char*)outComment fromLine: (Line*)inLine { return NULL; } #pragma mark - // insertMD5 // ---------------------------------------------------------------------------- - (void)insertMD5 { NSString* md5String = [self generateMD5String]; Line* newLine = calloc(1, sizeof(Line)); const char* utf8String = [md5String UTF8String]; newLine->length = [md5String length]; newLine->chars = malloc(newLine->length + 1); strncpy(newLine->chars, utf8String, newLine->length + 1); [self insertLine:newLine after:iPlainLineListHead inList:&iPlainLineListHead]; } #pragma mark - // entabLine: // ---------------------------------------------------------------------------- // A cheap and fast way to entab a line, assuming it contains no tabs already. // If tabs get added in the future, this WILL break. Single spaces are not // replaced with tabs, even when possible, since it would save no additional // bytes. Comments are not entabbed, as that would remove the user's ability // to search for them in the source code or a hex editor. - (void)entabLine: (Line*)ioLine; { if (!ioLine || !ioLine->chars) return; // only need to do this math once... static uint32_t startOfComment = 0; if (startOfComment == 0) { startOfComment = iFieldWidths.address + iFieldWidths.instruction + iFieldWidths.mnemonic + iFieldWidths.operands; if (iOpts.localOffsets) startOfComment += iFieldWidths.offset; } char entabbedLine[MAX_LINE_LENGTH]; size_t theOrigLength = ioLine->length; // If 1st char is '\n', skip it. uint32_t firstChar = (ioLine->chars[0] == '\n'); uint32_t i; // old line marker uint32_t j = 0; // new line marker if (firstChar) { j++; entabbedLine[0] = '\n'; entabbedLine[1] = 0; } else entabbedLine[0] = 0; // Inspect 4 bytes at a time. for (i = firstChar; i < theOrigLength; i += 4) { // Don't entab comments. if (i >= (startOfComment + firstChar) - 4) { strncpy(&entabbedLine[j], &ioLine->chars[i], (theOrigLength - i) + 1); break; } // If fewer than 4 bytes remain, adding any tabs is pointless. if (i > theOrigLength - 4) { // Copy the remainder and split. while (i < theOrigLength) entabbedLine[j++] = ioLine->chars[i++]; // Add the null terminator. entabbedLine[j] = 0; break; } // If the 4th char is not a space, the first 3 chars don't matter. if (ioLine->chars[i + 3] == 0x20) // 4th char is a space... { if (ioLine->chars[i + 2] == 0x20) // 3rd char is a space... { if (ioLine->chars[i + 1] == 0x20) // 2nd char is a space... { if (ioLine->chars[i] == 0x20) // all 4 chars are spaces! entabbedLine[j++] = '\t'; // write a tab and split else // only the 1st char is not a space { // copy 1st char and tab entabbedLine[j++] = ioLine->chars[i]; entabbedLine[j++] = '\t'; } } else // 2nd char is not a space { // copy 1st 2 chars and tab entabbedLine[j++] = ioLine->chars[i]; entabbedLine[j++] = ioLine->chars[i + 1]; entabbedLine[j++] = '\t'; } } else // 3rd char is not a space { // copy 1st 3 chars and tab entabbedLine[j++] = ioLine->chars[i]; entabbedLine[j++] = ioLine->chars[i + 1]; entabbedLine[j++] = ioLine->chars[i + 2]; entabbedLine[j++] = '\t'; } } else // 4th char is not a space { // copy all 4 chars memcpy(&entabbedLine[j], &ioLine->chars[i], 4); j += 4; } // Add the null terminator. entabbedLine[j] = 0; } // Replace the old C string with the new one. free(ioLine->chars); ioLine->length = strlen(entabbedLine); ioLine->chars = malloc(ioLine->length + 1); strncpy(ioLine->chars, entabbedLine, ioLine->length + 1); } - (BOOL)getIvarName:(char **)outName type:(char **)outType withOffset:(uint32_t)offset inClass:(objc_32_class_ptr)classPtr { if (iObjcVersion == 1) { objc1_32_ivar ivar = {0}; objc1_32_class cls = *(objc1_32_class *)classPtr; #if __BIG_ENDIAN__ swap_objc1_32_class(&cls); #endif if (!iIsInstanceMethod) { if (![self getObjc1MetaClass:&cls fromClass:&cls]) return NO; #if __BIG_ENDIAN__ swap_objc1_32_class(&cls); #endif } if (![self findIvar:&ivar inClass:&cls withOffset:offset]) return NO; char *name = [self getPointer:ivar.ivar_name type:NULL]; char *type = [self getPointer:ivar.ivar_type type:NULL]; if (outName) *outName = name; if (outType) *outType = type; return YES; } else if (iObjcVersion == 2) { objc2_32_ivar_t* ivar; if ([self findIvar:&ivar inClass2:(objc2_32_class_t *)classPtr withOffset:offset]) { char *name = [self getPointer:ivar->name type:NULL]; char *type = [self getPointer:ivar->type type:NULL]; if (outName) *outName = name; if (outType) *outType = type; } return YES; } return NO; } // getPointer:type: (was get_pointer) // ---------------------------------------------------------------------------- // Convert a relative ptr to an absolute ptr. Return which data type is being // referenced in outType. - (char*)getPointer: (uint32_t)inAddr type: (UInt8*)outType { if (inAddr == 0) return NULL; if (outType) *outType = PointerType; char* thePtr = NULL; uint32_t i; // (__TEXT,__cstring) (char*) if (inAddr >= iCStringSect.s.addr && inAddr < iCStringSect.s.addr + iCStringSect.size) { thePtr = (iCStringSect.contents + (inAddr - iCStringSect.s.addr)); // Make sure we're pointing to the beginning of a string, // not somewhere in the middle. if (*(thePtr - 1) != 0 && inAddr != iCStringSect.s.addr) thePtr = NULL; // Check if this may be a Pascal string. Thanks, Metrowerks. else if (outType && strlen(thePtr) == thePtr[0] + 1) *outType = PStringType; } else // (__TEXT,__const) (Str255* sometimes) if (inAddr >= iConstTextSect.s.addr && inAddr < iConstTextSect.s.addr + iConstTextSect.size) { thePtr = (iConstTextSect.contents + (inAddr - iConstTextSect.s.addr)); if (outType && strlen(thePtr) == thePtr[0] + 1) *outType = PStringType; else thePtr = NULL; } else // (__TEXT,__objc_methname) (char*) if (inAddr >= iObjcMethnameSect.s.addr && inAddr < iObjcMethnameSect.s.addr + iObjcMethnameSect.size) { thePtr = (iObjcMethnameSect.contents + (inAddr - iObjcMethnameSect.s.addr)); } else // (__TEXT,__objc_methtype) (char*) if (inAddr >= iObjcMethtypeSect.s.addr && inAddr < iObjcMethtypeSect.s.addr + iObjcMethtypeSect.size) { thePtr = (iObjcMethtypeSect.contents + (inAddr - iObjcMethtypeSect.s.addr)); } else // (__TEXT,__objc_classname) (char*) if (inAddr >= iObjcClassnameSect.s.addr && inAddr < iObjcClassnameSect.s.addr + iObjcClassnameSect.size) { thePtr = (iObjcClassnameSect.contents + (inAddr - iObjcClassnameSect.s.addr)); } else // (__TEXT,__literal4) (float) if (inAddr >= iLit4Sect.s.addr && inAddr < iLit4Sect.s.addr + iLit4Sect.size) { thePtr = (char*)(iLit4Sect.contents + (inAddr - iLit4Sect.s.addr)); if (outType) *outType = FloatType; } else // (__TEXT,__literal8) (double) if (inAddr >= iLit8Sect.s.addr && inAddr < iLit8Sect.s.addr + iLit8Sect.size) { thePtr = (char*)(iLit8Sect.contents + (inAddr - iLit8Sect.s.addr)); if (outType) *outType = DoubleType; } if (thePtr) return thePtr; // (__OBJC,__cstring_object) (objc_string_object) if (inAddr >= iNSStringSect.s.addr && inAddr < iNSStringSect.s.addr + iNSStringSect.size) { thePtr = (char*)(iNSStringSect.contents + (inAddr - iNSStringSect.s.addr)); if (outType) *outType = OCStrObjectType; } else // (__OBJC,__class) (objc_class) if (inAddr >= iClassSect.s.addr && inAddr < iClassSect.s.addr + iClassSect.size) { thePtr = (char*)(iClassSect.contents + (inAddr - iClassSect.s.addr)); if (outType) *outType = OCClassType; } else // (__OBJC,__meta_class) (objc_class) if (inAddr >= iMetaClassSect.s.addr && inAddr < iMetaClassSect.s.addr + iMetaClassSect.size) { thePtr = (char*)(iMetaClassSect.contents + (inAddr - iMetaClassSect.s.addr)); if (outType) *outType = OCClassType; } else // (__OBJC,__module_info) (objc_module) if (inAddr >= iObjcModSect.s.addr && inAddr < iObjcModSect.s.addr + iObjcModSect.size) { thePtr = (char*)(iObjcModSect.contents + (inAddr - iObjcModSect.s.addr)); if (outType) *outType = OCModType; } // (__OBJC, ??) (char*) // __message_refs, __class_refs, __instance_vars, __symbols for (i = 0; !thePtr && i < iNumObjcSects; i++) { if (inAddr >= iObjcSects[i].s.addr && inAddr < iObjcSects[i].s.addr + iObjcSects[i].size) { thePtr = (char*)(iObjcSects[i].contents + (inAddr - iObjcSects[i].s.addr)); if (outType) *outType = OCGenericType; } } if (thePtr) return thePtr; // (__IMPORT,__pointers) (cf_string_object*) if (inAddr >= iImpPtrSect.s.addr && inAddr < iImpPtrSect.s.addr + iImpPtrSect.size) { thePtr = (char*)(iImpPtrSect.contents + (inAddr - iImpPtrSect.s.addr)); if (outType) *outType = ImpPtrType; } if (thePtr) return thePtr; // (__DATA,__data) (char**) if (inAddr >= iDataSect.s.addr && inAddr < iDataSect.s.addr + iDataSect.size) { thePtr = (char*)(iDataSect.contents + (inAddr - iDataSect.s.addr)); UInt8 theType = DataGenericType; uint32_t theValue = *(uint32_t*)thePtr; if (iSwapped) theValue = OSSwapInt32(theValue); if (theValue != 0) { theType = PointerType; static uint32_t recurseCount = 0; while (theType == PointerType) { recurseCount++; if (recurseCount > 5) { theType = DataGenericType; break; } thePtr = [self getPointer:theValue type:&theType]; if (!thePtr) { theType = DataGenericType; break; } theValue = *(uint32_t*)thePtr; } recurseCount = 0; } if (outType) *outType = theType; } else // (__DATA,__const) (void*) if (inAddr >= iConstDataSect.s.addr && inAddr < iConstDataSect.s.addr + iConstDataSect.size) { thePtr = (char*)(iConstDataSect.contents + (inAddr - iConstDataSect.s.addr)); if (outType) { uint32_t theID = *(uint32_t*)thePtr; if (iSwapped) theID = OSSwapInt32(theID); if (theID == typeid_NSString) *outType = OCStrObjectType; else { theID = *(uint32_t*)(thePtr + 4); if (iSwapped) theID = OSSwapInt32(theID); if (theID == typeid_NSString) *outType = CFStringType; else *outType = DataConstType; } } } else // (__DATA,__cfstring) (cf_string_object*) if (inAddr >= iCFStringSect.s.addr && inAddr < iCFStringSect.s.addr + iCFStringSect.size) { thePtr = (char*)(iCFStringSect.contents + (inAddr - iCFStringSect.s.addr)); if (outType) *outType = CFStringType; } else // (__DATA,__objc_classrefs) if (inAddr >= iObjcClassRefsSect.s.addr && inAddr < iObjcClassRefsSect.s.addr + iObjcClassRefsSect.size) { if (inAddr % 4 == 0) { UInt32 classRef = *(UInt32*)(iObjcClassRefsSect.contents + (inAddr - iObjcClassRefsSect.s.addr)); if (classRef && classRef >= iObjcDataSect.s.addr && classRef < iObjcDataSect.s.addr + iObjcDataSect.s.size) { if (iSwapped) classRef = OSSwapInt32(classRef); objc2_32_class_t swappedClass = *(objc2_32_class_t*)(iObjcDataSect.contents + (classRef - iObjcDataSect.s.addr)); if (iSwapped) swap_objc2_32_class(&swappedClass); if (swappedClass.data && swappedClass.data >= iObjcConstSect.s.addr && swappedClass.data < iObjcConstSect.s.addr + iObjcConstSect.s.size) { objc2_32_class_ro_t roData = *(objc2_32_class_ro_t*)(iObjcConstSect.contents + (swappedClass.data - iObjcConstSect.s.addr)); if (iSwapped) roData.name = OSSwapInt32(roData.name); thePtr = [self getPointer:roData.name type:NULL]; if (outType) *outType = OCClassRefType; } } } } else // (__DATA,__objc_msgrefs) if (inAddr >= iObjcMsgRefsSect.s.addr && inAddr < iObjcMsgRefsSect.s.addr + iObjcMsgRefsSect.size) { objc2_32_message_ref_t ref = *(objc2_32_message_ref_t*)(iObjcMsgRefsSect.contents + (inAddr - iObjcMsgRefsSect.s.addr)); if (iSwapped) ref.sel = OSSwapInt32(ref.sel); thePtr = [self getPointer:ref.sel type:NULL]; if (outType) *outType = OCMsgRefType; } else // (__DATA,__objc_catlist) if (inAddr >= iObjcCatListSect.s.addr && inAddr < iObjcCatListSect.s.addr + iObjcCatListSect.size) { } else // (__DATA,__objc_superrefs) if (inAddr >= iObjcSuperRefsSect.s.addr && inAddr < iObjcSuperRefsSect.s.addr + iObjcSuperRefsSect.size) { UInt32 superAddy = *(UInt32*)(iObjcSuperRefsSect.contents + (inAddr - iObjcSuperRefsSect.s.addr)); if (iSwapped) superAddy = OSSwapInt32(superAddy); if (superAddy && superAddy >= iObjcDataSect.s.addr && superAddy < iObjcDataSect.s.addr + iObjcDataSect.s.size) { objc2_32_class_t swappedClass = *(objc2_32_class_t*)(iObjcDataSect.contents + (superAddy - iObjcDataSect.s.addr)); if (iSwapped) swap_objc2_32_class(&swappedClass); if (swappedClass.data && swappedClass.data >= iObjcConstSect.s.addr && swappedClass.data < iObjcConstSect.s.addr + iObjcConstSect.s.size) { objc2_32_class_ro_t* roPtr = (objc2_32_class_ro_t*)(iObjcConstSect.contents + (swappedClass.data - iObjcConstSect.s.addr)); UInt32 namePtr = roPtr->name; if (iSwapped) namePtr = OSSwapInt32(namePtr); if (namePtr != 0) { thePtr = [self getPointer:namePtr type:NULL]; if (outType) *outType = OCSuperRefType; } } } } else // (__DATA,__objc_selrefs) if (inAddr >= iObjcSelRefsSect.s.addr && inAddr < iObjcSelRefsSect.s.addr + iObjcSelRefsSect.size) { UInt32 selAddy = *(UInt32*)(iObjcSelRefsSect.contents + (inAddr - iObjcSelRefsSect.s.addr)); if (iSwapped) selAddy = OSSwapInt32(selAddy); if (selAddy != 0) { thePtr = [self getPointer:selAddy type:NULL]; if (outType) *outType = OCSelRefType; } } else if ((inAddr >= iObjcProtoRefsSect.s.addr && // (__DATA,__objc_protorefs) inAddr < iObjcProtoRefsSect.s.addr + iObjcProtoRefsSect.size) || (inAddr >= iObjcProtoListSect.s.addr && // (__DATA,__objc_protolist) inAddr < iObjcProtoListSect.s.addr + iObjcProtoListSect.size)) { UInt32 protoAddy; UInt8 tempType; if (inAddr >= iObjcProtoRefsSect.s.addr && inAddr < iObjcProtoRefsSect.s.addr + iObjcProtoRefsSect.size) { protoAddy = *(UInt32*)(iObjcProtoRefsSect.contents + (inAddr - iObjcProtoRefsSect.s.addr)); tempType = OCProtoRefType; } else { protoAddy = *(UInt32*)(iObjcProtoListSect.contents + (inAddr - iObjcProtoListSect.s.addr)); tempType = OCProtoListType; } if (iSwapped) protoAddy = OSSwapInt32(protoAddy); if (protoAddy != 0 && (protoAddy >= iDataSect.s.addr && protoAddy < (iDataSect.s.addr + iDataSect.size))) { objc2_32_protocol_t* proto = (objc2_32_protocol_t*)(iDataSect.contents + (protoAddy - iDataSect.s.addr)); UInt32 protoName = proto->name; if (iSwapped) protoName = OSSwapInt32(protoName); if (protoName != 0) { thePtr = [self getPointer:protoName type:NULL]; if (outType) *outType = tempType; } } } else // (__DATA,__nl_symbol_ptr) (cf_string_object*) if (inAddr >= iNLSymSect.s.addr && inAddr < iNLSymSect.s.addr + iNLSymSect.size) { thePtr = (char*)(iNLSymSect.contents + (inAddr - iNLSymSect.s.addr)); if (outType) *outType = NLSymType; } else // (__DATA,__dyld) (function ptr) if (inAddr >= iDyldSect.s.addr && inAddr < iDyldSect.s.addr + iDyldSect.size) { thePtr = (char*)(iDyldSect.contents + (inAddr - iDyldSect.s.addr)); if (outType) *outType = DYLDType; } // should implement these if they ever contain CFStrings or NSStrings /* else // (__DATA, __coalesced_data) (?) if (localAddy >= mCoalDataSect.s.addr && localAddy < mCoalDataSect.s.addr + mCoalDataSect.size) { } else // (__DATA, __datacoal_nt) (?) if (localAddy >= mCoalDataNTSect.s.addr && localAddy < mCoalDataNTSect.s.addr + mCoalDataNTSect.size) { }*/ return thePtr; } #ifdef OTX_DEBUG // printSymbol: // ---------------------------------------------------------------------------- // Used for symbol debugging. - (void)printSymbol: (nlist)inSym { fprintf(stderr, "----------------\n\n"); fprintf(stderr, " n_strx = 0x%08x\n", inSym.n_un.n_strx); fprintf(stderr, " n_type = 0x%02x\n", inSym.n_type); fprintf(stderr, " n_sect = 0x%02x\n", inSym.n_sect); fprintf(stderr, " n_desc = 0x%04x\n", inSym.n_desc); fprintf(stderr, "n_value = 0x%08x (%u)\n\n", inSym.n_value, inSym.n_value); if ((inSym.n_type & N_STAB) != 0) { // too complicated, see <mach-o/stab.h> fprintf(stderr, "STAB symbol\n"); } else // not a STAB { if ((inSym.n_type & N_PEXT) != 0) fprintf(stderr, "Private external symbol\n\n"); else if ((inSym.n_type & N_EXT) != 0) fprintf(stderr, "External symbol\n\n"); UInt8 theNType = inSym.n_type & N_TYPE; UInt16 theRefType = inSym.n_desc & REFERENCE_TYPE; fprintf(stderr, "Symbol name: %s\n", (char*)((char *)iMachHeaderPtr + iStringTableOffset + inSym.n_un.n_strx)); fprintf(stderr, "Symbol type: "); if (theNType == N_ABS) fprintf(stderr, "Absolute\n"); else if (theNType == N_SECT) fprintf(stderr, "Defined in section %u\n", inSym.n_sect); else if (theNType == N_INDR) fprintf(stderr, "Indirect\n"); else { if (theNType == N_UNDF) fprintf(stderr, "Undefined\n"); else if (theNType == N_PBUD) fprintf(stderr, "Prebound undefined\n"); switch (theRefType) { case REFERENCE_FLAG_UNDEFINED_NON_LAZY: fprintf(stderr, "REFERENCE_FLAG_UNDEFINED_NON_LAZY\n"); break; case REFERENCE_FLAG_UNDEFINED_LAZY: fprintf(stderr, "REFERENCE_FLAG_UNDEFINED_LAZY\n"); break; case REFERENCE_FLAG_DEFINED: fprintf(stderr, "REFERENCE_FLAG_DEFINED\n"); break; case REFERENCE_FLAG_PRIVATE_DEFINED: fprintf(stderr, "REFERENCE_FLAG_PRIVATE_DEFINED\n"); break; case REFERENCE_FLAG_PRIVATE_UNDEFINED_NON_LAZY: fprintf(stderr, "REFERENCE_FLAG_PRIVATE_UNDEFINED_NON_LAZY\n"); break; case REFERENCE_FLAG_PRIVATE_UNDEFINED_LAZY: fprintf(stderr, "REFERENCE_FLAG_PRIVATE_UNDEFINED_LAZY\n"); break; default: break; } } } fprintf(stderr, "\n"); } // printBlocks: // ---------------------------------------------------------------------------- // Used for block debugging. Subclasses may override. - (void)printBlocks: (uint32_t)inFuncIndex; { if (!iFuncInfos) return; FunctionInfo* funcInfo = &iFuncInfos[inFuncIndex]; if (!funcInfo || !funcInfo->blocks) return; uint32_t i; fprintf(stderr, "\nfunction at 0x%x:\n\n", funcInfo->address); fprintf(stderr, "%d blocks\n", funcInfo->numBlocks); for (i = 0; i < funcInfo->numBlocks; i++) { fprintf(stderr, "\nblock %d at 0x%x:\n\n", i + 1, funcInfo->blocks[i].beginAddress); GPRegisterInfo *regInfo = funcInfo->blocks[i].state.regInfos; if (regInfo[EAX].isValid) fprintf(stderr, "\t\teax: 0x%x\n", regInfo[EAX].value); if (regInfo[EBX].isValid) fprintf(stderr, "\t\tebx: 0x%x\n", regInfo[EBX].value); if (regInfo[ECX].isValid) fprintf(stderr, "\t\tecx: 0x%x\n", regInfo[ECX].value); if (regInfo[EDX].isValid) fprintf(stderr, "\t\tedx: 0x%x\n", regInfo[EDX].value); if (regInfo[ESP].isValid) fprintf(stderr, "\t\tesp: 0x%x\n", regInfo[ESP].value); if (regInfo[EBP].isValid) fprintf(stderr, "\t\tebp: 0x%x\n", regInfo[EBP].value); if (regInfo[ESI].isValid) fprintf(stderr, "\t\tesi: 0x%x\n", regInfo[ESI].value); if (regInfo[EDI].isValid) fprintf(stderr, "\t\tedi: 0x%x\n", regInfo[EDI].value); } } #endif // OTX_DEBUG @end
github
zhangchn/otx-master
PPC64Processor.m
.m
otx-master/src/source/Processors/PPC64Processor.m
74,333
utf_8
6357b279a717e624564964c7ba8e1495
/* PPC64Processor.m A subclass of Exe64Processor that handles PPC64-specific issues. This file is in the public domain. */ #import <Cocoa/Cocoa.h> #import "PPC64Processor.h" #import "PPCProcessor.h" #import "Arch64Specifics.h" #import "List64Utils.h" #import "Objc64Accessors.h" #import "Object64Loader.h" #import "Searchers64.h" #import "SyscallStrings.h" #import "UserDefaultKeys.h" @implementation PPC64Processor // initWithURL:controller:options: // ---------------------------------------------------------------------------- - (id)initWithURL: (NSURL*)inURL controller: (id)inController options: (ProcOptions*)inOptions { if ((self = [super initWithURL: inURL controller: inController options: inOptions])) { strncpy(iArchString, "ppc64", 6); iArchSelector = CPU_TYPE_POWERPC64; iFieldWidths.offset = 8; iFieldWidths.address = 18; iFieldWidths.instruction = 10; iFieldWidths.mnemonic = 9; iFieldWidths.operands = 17; } return self; } // dealloc // ---------------------------------------------------------------------------- - (void)dealloc { if (iLocalSelves) { free(iLocalSelves); iLocalSelves = NULL; } if (iLocalVars) { free(iLocalVars); iLocalVars = NULL; } } // loadDyldDataSection: // ---------------------------------------------------------------------------- - (void)loadDyldDataSection: (section_64*)inSect { [super loadDyldDataSection: inSect]; if (!iAddrDyldStubBindingHelper) return; iAddrDyldFuncLookupPointer = iAddrDyldStubBindingHelper + 24; } // codeFromLine: // ---------------------------------------------------------------------------- - (void)codeFromLine: (Line64*)inLine { uint32_t theInstruction = (iMachHeader.filetype == MH_OBJECT) ? *(uint32_t*)((char*)iMachHeaderPtr + (inLine->info.address + iTextOffset)) : *(uint32_t*)((char*)iMachHeaderPtr + (inLine->info.address - iTextOffset)); inLine->info.codeLength = 4; uint32_t* intPtr = (uint32_t*)&inLine->info.code[0]; *intPtr = theInstruction; } #pragma mark - // commentForLine: // ---------------------------------------------------------------------------- - (void)commentForLine: (Line64*)inLine; { uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); char* theDummyPtr = NULL; char* theSymPtr = NULL; UInt8 opcode = PO(theCode); UInt64 localAddy; iLineCommentCString[0] = 0; // Examine the primary opcode to see if we need to look for comments. switch (opcode) { case 0x0a: // cmpli | cmplwi UIMM case 0x0b: // cmpi | cmpwi SIMM { SInt16 imm = SIMM(theCode); // Check for a single printable 7-bit char. if (imm >= 0x20 && imm < 0x7f) snprintf(iLineCommentCString, 4, "'%c'", imm); break; } case 0x11: // sc [self commentForSystemCall]; break; case 0x10: // bc, bca, bcl, bcla case 0x12: // b, ba, bl, bla { // Check for absolute branches to the ObjC runtime page. Similar to // the comm page behavior described at // http://www.opensource.apple.com/darwinsource/10.4.7.ppc/xnu-792.6.76/osfmk/ppc/cpu_capabilities.h // However, the ObjC runtime page is not really a comm page, and it // cannot be accessed by bca and bcla instructions, due to their // 16-bit limitation. // Deal with absolute branches. if (AA(theCode)) { uint32_t target = LI(theCode); switch (target) { case kRTAddress_objc_msgSend: { char tempComment[MAX_COMMENT_LENGTH]; strncpy(tempComment, kRTName_objc_msgSend, strlen(kRTName_objc_msgSend) + 1); if (iOpts.verboseMsgSends) [self commentForMsgSend:tempComment fromLine:inLine]; strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } case kRTAddress_objc_assign_ivar: { char tempComment[MAX_COMMENT_LENGTH]; strncpy(tempComment, kRTName_objc_assign_ivar, strlen(kRTName_objc_assign_ivar) + 1); // Bail if we don't know about the class. if (!iCurrentClass) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } if (iRegInfos[5].isValid) { objc2_64_ivar_t* theIvar = NULL; objc2_64_class_t swappedClass = *iCurrentClass; #if __LITTLE_ENDIAN__ swap_objc2_64_class(&swappedClass); #endif if (!iIsInstanceMethod) { if (![self getObjcMetaClass:&swappedClass fromClass:&swappedClass]) break; #if __LITTLE_ENDIAN__ swap_objc2_64_class(&swappedClass); #endif } if (![self findIvar:&theIvar inClass:&swappedClass withOffset:iRegInfos[5].value]) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } theSymPtr = [self getPointer:theIvar->name type:NULL]; if (!theSymPtr) { strncpy(iLineCommentCString, tempComment, strlen(tempComment) + 1); break; } if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:[self getPointer:theIvar->type type:NULL]]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s (%s)%s", tempComment, theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s %s", tempComment, theSymPtr); } else // !mReginfos[5].isValid snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", tempComment); break; } case kRTAddress_objc_assign_global: strncpy(iLineCommentCString, kRTName_objc_assign_global, strlen(kRTName_objc_assign_global) + 1); break; case kRTAddress_objc_assign_strongCast: strncpy(iLineCommentCString, kRTName_objc_assign_strongCast, strlen(kRTName_objc_assign_strongCast) + 1); break; default: break; } } else // not an absolute branch { // Insert anonymous label or 'return' if there's not a comment yet. if (iLineCommentCString[0]) break; UInt64 absoluteAddy; if (opcode == 0x12) absoluteAddy = inLine->info.address + LI(theCode); else absoluteAddy = inLine->info.address + BD(theCode); Function64Info searchKey = {absoluteAddy, NULL, 0, 0}; Function64Info* funcInfo = bsearch(&searchKey, iFuncInfos, iNumFuncInfos, sizeof(Function64Info), (COMPARISON_FUNC_TYPE)Function_Info_Compare); if (funcInfo && funcInfo->genericFuncNum != 0) { snprintf(iLineCommentCString, ANON_FUNC_BASE_LENGTH + 11, "%s%d", ANON_FUNC_BASE, funcInfo->genericFuncNum); break; } // FIXME: mCurrentFuncInfoIndex is -1 here when it should not be funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; if (!funcInfo->blocks) break; uint32_t i; for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress != absoluteAddy) continue; if (funcInfo->blocks[i].isEpilog) snprintf(iLineCommentCString, 8, "return;"); break; } } break; } case 0x13: // bcctr, bclr, isync if (SO(theCode) != 528) // bcctr break; if (iRegInfos[4].messageRefSel != NULL) { char* sel = iRegInfos[4].messageRefSel; strncpy(iLineOperandsCString, " ", 2); if (iRegInfos[3].className != NULL) snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "+[%s %s]", iRegInfos[3].className, sel); else // Instance method? if (iRegInfos[3].isValid) snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "objc_msgSend(%%r3, %s)", sel); else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "-[%%r3 %s]", sel); } // Print value of ctr, ignoring the low 2 bits. // if (iCTR.isValid) // snprintf(iLineCommentCString, 10, "0x%x", // iCTR.value & ~3); break; case 0x30: // lfs SIMM case 0x34: // stfs SIMM case 0x32: // lfd SIMM case 0x36: // stfd SIMM { if (!iRegInfos[RA(theCode)].isValid || RA(theCode) == 0) break; if (iRegInfos[RA(theCode)].classPtr) { // search instance vars objc2_64_ivar_t* theIvar = NULL; objc2_64_class_t swappedClass = *iRegInfos[RA(theCode)].classPtr; #if __LITTLE_ENDIAN__ swap_objc2_64_class(&swappedClass); #endif if (!iIsInstanceMethod) { if (![self getObjcMetaClass:&swappedClass fromClass:&swappedClass]) break; #if __LITTLE_ENDIAN__ swap_objc2_64_class(&swappedClass); #endif } if (![self findIvar:&theIvar inClass:&swappedClass withOffset:UIMM(theCode)]) break; theSymPtr = [self getPointer:theIvar->name type:NULL]; if (theSymPtr) { if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:[self getPointer:theIvar->type type:NULL]]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "(%s)%s", theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } else { localAddy = iRegInfos[RA(theCode)].value + SIMM(theCode); theDummyPtr = [self getPointer:localAddy type:NULL]; if (!theDummyPtr) break; if (opcode == 0x32 || opcode == 0x36) // lfd | stfd { UInt64 theInt64 = *(UInt64*)theDummyPtr; theInt64 = OSSwapBigToHostInt64(theInt64); // dance around printf's type coersion snprintf(iLineCommentCString, 30, "%lG", *(double*)&theInt64); } else // lfs | stfs { uint32_t theInt32 = *(uint32_t*)theDummyPtr; theInt32 = OSSwapBigToHostInt32(theInt32); // dance around printf's type coersion snprintf(iLineCommentCString, 30, "%G", *(float*)&theInt32); } } break; } case 0x0e: // li | addi SIMM case 0x18: // ori UIMM case 0x20: // lwz SIMM case 0x22: // lbz SIMM case 0x24: // stw SIMM case 0x26: // stb SIMM case 0x28: // lhz SIMM case 0x2c: // sth SIMM { if (!iRegInfos[RA(theCode)].isValid || RA(theCode) == 0) break; if (iRegInfos[RA(theCode)].classPtr) // relative to a class { // search instance vars objc2_64_ivar_t* theIvar = NULL; objc2_64_class_t swappedClass = *iRegInfos[RA(theCode)].classPtr; if (![self findIvar:&theIvar inClass:&swappedClass withOffset:UIMM(theCode)]) break; theSymPtr = [self getPointer:theIvar->name type:NULL]; if (theSymPtr) { if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:[self getPointer:theIvar->type type:NULL]]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "(%s)%s", theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } else // absolute address { if (opcode == 0x18) // ori UIMM localAddy = iRegInfos[RA(theCode)].value | UIMM(theCode); else localAddy = iRegInfos[RA(theCode)].value + SIMM(theCode); UInt8 theType = PointerType; uint32_t theValue; theSymPtr = [self getPointer:localAddy type:&theType]; if (theSymPtr) { switch (theType) { case DataGenericType: theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:&theType]; switch (theType) { case PointerType: theSymPtr = theDummyPtr; break; default: theSymPtr = NULL; break; } break; case DataConstType: theSymPtr = NULL; break; // See http://www.opensource.apple.com/darwinsource/10.4.7.ppc/Csu-58/dyld.s // They hardcoded the values, we may as well... case DYLDType: { char* dyldComment = NULL; theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); switch(theValue) { case kDyldAddress_LaSymBindingEntry: dyldComment = kDyldName_LaSymBindingEntry; break; case kDyldAddress_FuncLookupPointer: dyldComment = kDyldName_FuncLookupPointer; break; default: break; } if (dyldComment) strcpy(iLineCommentCString, dyldComment); break; } case PointerType: break; case CFStringType: { cfstring_object_64 theCFString = *(cfstring_object_64*)theSymPtr; if (theCFString.oc_string.length == 0) { theSymPtr = NULL; break; } theCFString.oc_string.chars = OSSwapBigToHostInt64(theCFString.oc_string.chars); theSymPtr = [self getPointer:theCFString.oc_string.chars type:NULL]; break; } case ImpPtrType: case NLSymType: { theValue = *(uint32_t*)theSymPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:NULL]; if (!theDummyPtr) { theSymPtr = NULL; break; } theValue = *(uint32_t*)(theDummyPtr + 4); theValue = OSSwapBigToHostInt32(theValue); if (theValue != typeid_NSString) { theValue = *(uint32_t*)theDummyPtr; theValue = OSSwapBigToHostInt32(theValue); theDummyPtr = [self getPointer:theValue type:NULL]; if (!theDummyPtr) { theSymPtr = NULL; break; } } cfstring_object_64 theCFString = *(cfstring_object_64*)theDummyPtr; if (theCFString.oc_string.length == 0) { theSymPtr = NULL; break; } theCFString.oc_string.chars = OSSwapBigToHostInt64(theCFString.oc_string.chars); theSymPtr = [self getPointer:theCFString.oc_string.chars type:NULL]; break; } case OCGenericType: case OCStrObjectType: case OCClassType: case OCModType: if (![self getObjcDescription:&theDummyPtr fromObject:theSymPtr type:theType]) break; if (theDummyPtr) { switch (theType) { case OCClassType: iRegInfos[RT(theCode)].classPtr = (objc2_64_class_t*)theSymPtr; break; default: break; } } theSymPtr = theDummyPtr; break; default: break; } if (theSymPtr && !iLineCommentCString[0]) { if (theType == PStringType) snprintf(iLineCommentCString, 255, "%*s", theSymPtr[0], theSymPtr + 1); else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } // if (theSymPtr) else { // Maybe it's a four-char code... if ((opcode == 0x0e || opcode == 0x18) && // li | addi | ori localAddy >= 0x20202020 && localAddy < 0x7f7f7f7f) { localAddy = OSSwapBigToHostInt64(localAddy); char* fcc = (char*)&localAddy; if (fcc[0] >= 0x20 && fcc[0] < 0x7f && fcc[1] >= 0x20 && fcc[1] < 0x7f && fcc[2] >= 0x20 && fcc[2] < 0x7f && fcc[3] >= 0x20 && fcc[3] < 0x7f) snprintf(iLineCommentCString, 7, "'%.4s'", fcc); } } } // if !(.classPtr) break; } // case 0x0e... case 0x3a: // ld { if (iRegInfos[RA(theCode)].isValid == NO) break; UInt64 address = iRegInfos[RA(theCode)].value + DS(theCode); UInt8 type; char* symName = NULL; theSymPtr = [self getPointer:address type:&type]; if (theSymPtr) { switch (type) { case CFStringType: [self getObjcDescription:&symName fromObject:theSymPtr type:type]; if (symName) snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", symName); break; case OCClassRefType: case OCSuperRefType: case OCProtoRefType: case OCProtoListType: case OCMsgRefType: case OCSelRefType: snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); break; default: break; } } else { if (address >= iDataSect.s.addr && address < (iDataSect.s.addr + iDataSect.size)) { objc2_64_ivar_t* foundIvar = NULL; objc2_64_ivar_t* maybeIvar = (objc2_64_ivar_t*)((iDataSect.contents) + (address - iDataSect.s.addr)); if (maybeIvar->offset != 0) { UInt64 offset = OSSwapBigToHostInt64(maybeIvar->offset); if ([self findIvar:&foundIvar inClass:iCurrentClass withOffset:offset]) { theSymPtr = [self getPointer:foundIvar->name type:NULL]; if (theSymPtr) { if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:[self getPointer:foundIvar->type type:NULL]]; snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "(%s)%s", theTypeCString, theSymPtr); } else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theSymPtr); } } } } } break; } default: break; } } // commentForSystemCall // ---------------------------------------------------------------------------- // System call number is stored in r0, possible values defined in // <sys/syscall.h>. Call numbers are indices into a lookup table of handler // routines. Args being passed to the looked-up handler start at r3 or r4, // depending on whether it's an indirect SYS_syscall. - (void)commentForSystemCall { if (!iRegInfos[0].isValid || iRegInfos[0].value > SYS_MAXSYSCALL) { snprintf(iLineCommentCString, 11, "syscall(?)"); return; } BOOL isIndirect = (iRegInfos[0].value == SYS_syscall); uint32_t syscallNumReg = isIndirect ? 3 : 0; uint32_t syscallArg1Reg = isIndirect ? 4 : 3; if (!iRegInfos[syscallNumReg].isValid || iRegInfos[syscallNumReg].value > SYS_MAXSYSCALL) { snprintf(iLineCommentCString, 11, "syscall(?)"); return; } const char* theSysString = gSysCalls[iRegInfos[syscallNumReg].value]; if (!theSysString) return; char theTempComment[50]; theTempComment[0] = 0; strncpy(theTempComment, theSysString, strlen(theSysString) + 1); // Handle various system calls. switch (iRegInfos[syscallNumReg].value) { case SYS_ptrace: if (iRegInfos[syscallArg1Reg].isValid && iRegInfos[syscallArg1Reg].value == PT_DENY_ATTACH) snprintf(iLineCommentCString, 40, "%s(%s)", theTempComment, "PT_DENY_ATTACH"); else snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theTempComment); break; default: snprintf(iLineCommentCString, MAX_COMMENT_LENGTH, "%s", theTempComment); break; } } // selectorForMsgSend:fromLine: // ---------------------------------------------------------------------------- - (char*)selectorForMsgSend: (char*)outComment fromLine: (Line64*)inLine { char* selString = NULL; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); // Bail if this is not an eligible branch. if (PO(theCode) != 0x12) // b, bl, ba, bla return NULL; // Bail if this is not an objc_msgSend variant. if (memcmp(outComment, "_objc_msgSend", 13)) return NULL; UInt8 sendType = [self sendTypeFromMsgSend:outComment]; uint32_t selectorRegNum = (sendType == sendSuper_stret || sendType == send_stret) ? 5 : 4; if (!iRegInfos[selectorRegNum].isValid || !iRegInfos[selectorRegNum].value) return NULL; // Get at the selector. UInt8 selType = PointerType; char* selPtr = [self getPointer:iRegInfos[selectorRegNum].value type:&selType]; switch (selType) { case PointerType: selString = selPtr; break; case OCGenericType: if (selPtr) { uint32_t selPtrValue = *(uint32_t*)selPtr; selPtrValue = OSSwapBigToHostInt32(selPtrValue); selString = [self getPointer:selPtrValue type:NULL]; } break; default: fprintf(stderr, "otx: [PPC64Processor selectorForMsgSend:fromLine:]: " "unsupported selector type: %d at address: 0x%llx\n", selType, inLine->info.address); break; } return selString; } // commentForMsgSend:fromLine: // ---------------------------------------------------------------------------- - (void)commentForMsgSend: (char*)ioComment fromLine: (Line64*)inLine { char tempComment[MAX_COMMENT_LENGTH]; tempComment[0] = 0; if (!strncmp(ioComment, "_objc_msgSend", 13)) { char* selString = [self selectorForMsgSend:ioComment fromLine:inLine]; // Bail if we couldn't find the selector. if (!selString) { iMissedSelectorCount++; return; } iMatchedSelectorCount++; UInt8 sendType = [self sendTypeFromMsgSend:ioComment]; // Get the address of the class name string, if this a class method. UInt64 classNameAddy = 0; // If *.classPtr is non-NULL, it's not a name string. if (sendType == sendSuper_stret || sendType == send_stret) { if (iRegInfos[4].isValid && !iRegInfos[4].classPtr) classNameAddy = iRegInfos[4].value; } else { if (iRegInfos[3].isValid && !iRegInfos[3].classPtr) classNameAddy = iRegInfos[3].value; } char* className = NULL; char* returnTypeString = (sendType == sendSuper_stret || sendType == send_stret) ? "(struct)" : ""; // char tempComment[MAX_COMMENT_LENGTH]; // tempComment[0] = 0; if (classNameAddy) { // Get at the class name UInt8 classNameType = PointerType; char* classNamePtr = [self getPointer:classNameAddy type:&classNameType]; switch (classNameType) { // Receiver can be a static string or pointer in these sections, but we // only want to display class names as receivers. case DataGenericType: case DataConstType: case CFStringType: case ImpPtrType: case OCStrObjectType: break; case NLSymType: if (classNamePtr) { UInt64 namePtrValue = *(UInt64*)classNamePtr; namePtrValue = OSSwapBigToHostInt64(namePtrValue); classNamePtr = [self getPointer:namePtrValue type:&classNameType]; switch (classNameType) { case CFStringType: if (classNamePtr != NULL) { cfstring_object_64 classNameCFString = *(cfstring_object_64*)classNamePtr; namePtrValue = classNameCFString.oc_string.chars; namePtrValue = OSSwapBigToHostInt64(namePtrValue); classNamePtr = [self getPointer:namePtrValue type:NULL]; className = classNamePtr; } break; // Not sure what these are for, but they're NULL. case NLSymType: break; default: printf("otx: [PPC64Processor commentForMsgSend:fromLine:]: " "non-lazy symbol pointer points to unrecognized section: %d\n", classNameType); break; } } break; case PointerType: className = classNamePtr; break; case OCGenericType: if (classNamePtr) { uint32_t namePtrValue = *(uint32_t*)classNamePtr; namePtrValue = OSSwapBigToHostInt32(namePtrValue); className = [self getPointer:namePtrValue type:NULL]; } break; case OCClassType: if (classNamePtr) [self getObjcDescription:&className fromObject:classNamePtr type:OCClassType]; break; default: fprintf(stderr, "otx: [PPC64Processor commentForMsgSend]: " "unsupported class name type: %d at address: 0x%llx\n", classNameType, inLine->info.address); break; } } if (className) { snprintf(tempComment, MAX_COMMENT_LENGTH, ((sendType == sendSuper || sendType == sendSuper_stret) ? "+%s[[%s super] %s]" : "+%s[%s %s]"), returnTypeString, className, selString); } else { switch (sendType) { case send: case send_rtp: case send_variadic: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[r3 %s]", returnTypeString, selString); break; case sendSuper: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[[r3 super] %s]", returnTypeString, selString); break; case send_stret: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[r4 %s]", returnTypeString, selString); break; case sendSuper_stret: snprintf(tempComment, MAX_COMMENT_LENGTH, "-%s[[r4 super] %s]", returnTypeString, selString); break; default: break; } } } // if (!strncmp(ioComment, "_objc_msgSend", 13)) else if (!strncmp(ioComment, "_objc_assign_ivar", 17)) { if (iCurrentClass && iRegInfos[5].isValid) { char* theSymPtr = NULL; objc2_64_ivar_t* theIvar = NULL; objc2_64_class_t swappedClass = *iCurrentClass; if (!iIsInstanceMethod) { if (![self getObjcMetaClass:&swappedClass fromClass:&swappedClass]) return; #if __LITTLE_ENDIAN__ swap_objc2_64_class(&swappedClass); #endif } if (![self findIvar:&theIvar inClass:&swappedClass withOffset:iRegInfos[5].value]) return; theSymPtr = [self getPointer:theIvar->name type:NULL]; if (!theSymPtr) return; if (iOpts.variableTypes) { char theTypeCString[MAX_TYPE_STRING_LENGTH]; theTypeCString[0] = 0; [self getDescription:theTypeCString forType:[self getPointer:theIvar->type type:NULL]]; snprintf(tempComment, MAX_COMMENT_LENGTH, " (%s)%s", theTypeCString, theSymPtr); } else snprintf(tempComment, MAX_COMMENT_LENGTH, " %s", theSymPtr); strncat(ioComment, tempComment, strlen(tempComment)); } } } // chooseLine: // ---------------------------------------------------------------------------- - (void)chooseLine: (Line64**)ioLine { if (!(*ioLine) || !(*ioLine)->info.isCode || !(*ioLine)->alt || !(*ioLine)->alt->chars) return; uint32_t theCode = *(uint32_t*)(*ioLine)->info.code; theCode = OSSwapBigToHostInt32(theCode); if (PO(theCode) == 18) // b, ba, bl, bla { Line64* theNewLine = malloc(sizeof(Line64)); memcpy(theNewLine, (*ioLine)->alt, sizeof(Line64)); theNewLine->chars = malloc(theNewLine->length + 1); strncpy(theNewLine->chars, (*ioLine)->alt->chars, theNewLine->length + 1); // Swap in the verbose line and free the previous verbose lines. [self deleteLinesBefore:(*ioLine)->alt fromList:&iVerboseLineListHead]; [self replaceLine:*ioLine withLine:theNewLine inList:&iPlainLineListHead]; *ioLine = theNewLine; } } #pragma mark - // resetRegisters: // ---------------------------------------------------------------------------- - (void)resetRegisters: (Line64*)inLine { if (!inLine) { fprintf(stderr, "otx: [PPC64Processor resetRegisters]: " "tried to reset with NULL inLine\n"); return; } // Setup the registers with default info. r3 is 'self' at the beginning // of any Obj-C method, and r12 holds the address of the 1st instruction // if the function was called indirectly. In the case of direct calls, // r12 will be overwritten before it is used, if it is used at all. [self getObjcClassPtr:&iCurrentClass fromMethod:inLine->info.address]; // [self getObjcCatPtr:&iCurrentCat fromMethod:inLine->info.address]; memset(iRegInfos, 0, sizeof(GP64RegisterInfo) * 32); // If we didn't get the class from the method, try to get it from the // category. /* if (!iCurrentClass && iCurrentCat) { objc_category swappedCat = *iCurrentCat; #if __LITTLE_ENDIAN__ swap_objc_category(&swappedCat); #endif [self getObjcClassPtr:&iCurrentClass fromName:[self getPointer:swappedCat.class_name type:NULL]]; }*/ iRegInfos[3].classPtr = iCurrentClass; // iRegInfos[3].catPtr = iCurrentCat; iRegInfos[3].isValid = YES; iRegInfos[12].value = iCurrentFuncPtr; iRegInfos[12].isValid = YES; iLR = (GP64RegisterInfo){0}; iCTR = (GP64RegisterInfo){0}; // Try to find out whether this is a class or instance method. Method64Info* thisMethod = NULL; if ([self getObjcMethod:&thisMethod fromAddress:inLine->info.address]) iIsInstanceMethod = thisMethod->inst; if (iLocalSelves) { free(iLocalSelves); iLocalSelves = NULL; iNumLocalSelves = 0; } if (iLocalVars) { free(iLocalVars); iLocalVars = NULL; iNumLocalVars = 0; } iCurrentFuncInfoIndex++; if (iCurrentFuncInfoIndex >= iNumFuncInfos) iCurrentFuncInfoIndex = -1; } // updateRegisters: // ---------------------------------------------------------------------------- // Keep our local copy of the GPRs in sync as much as possible with the // values that the exe will use at runtime. Assign classPtr and catPtr fields // in a register's info if its new value points to a class or category. // http://developer.apple.com/documentation/DeveloperTools/Conceptual/LowLevelABI/Articles/32bitPowerPC.html // http://developer.apple.com/documentation/DeveloperTools/Conceptual/MachOTopics/Articles/dynamic_code.html - (void)updateRegisters: (Line64*)inLine; { if (!inLine) { fprintf(stderr, "otx: [PPC64Processor updateRegisters]: " "tried to update with NULL inLine\n"); return; } UInt64 theNewValue; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (IS_BRANCH_LINK(theCode)) { iLR.value = inLine->info.address + 4; iLR.isValid = YES; } switch (PO(theCode)) { case 0x07: // mulli SIMM { if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } UInt64 theProduct = (SInt32)iRegInfos[RA(theCode)].value * SIMM(theCode); iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = theProduct & 0xffffffff; iRegInfos[RT(theCode)].isValid = YES; break; } case 0x08: // subfic SIMM if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = iRegInfos[RA(theCode)].value - SIMM(theCode); iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 0x0c: // addic SIMM case 0x0d: // addic. SIMM case 0x0e: // addi | li SIMM if (RA(theCode) == 1 && // current reg is stack pointer (r1) SIMM(theCode) >= 0) // we're accessing local vars, not args { BOOL found = NO; uint32_t i; // Check for copied self pointer. This happens mostly in "init" // methods, as in: "self = [super init]" if (iLocalSelves) // self was copied to a local variable { // If we're accessing a local var copy of self, // copy that info back to the reg in question. for (i = 0; i < iNumLocalSelves; i++) { if (iLocalSelves[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalSelves[i].regInfo; found = YES; break; } } if (found) break; // Check for other local variables. if (iLocalVars) { for (i = 0; i < iNumLocalVars; i++) { if (iLocalVars[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalVars[i].regInfo; found = YES; break; } } if (found) break; } // We didn't find any local variables, try immediates. if (RA(theCode) == 0) // li { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = UIMM(theCode); iRegInfos[RT(theCode)].isValid = YES; } else // addi { // Update rD if we know what rA is. if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].className = NULL; iRegInfos[RT(theCode)].messageRefSel = NULL; // iRegInfos[RT(theCode)].catPtr = NULL; theNewValue = iRegInfos[RA(theCode)].value + SIMM(theCode); UInt8 type; char* ref = [self getPointer:theNewValue type:&type]; if (type == OCMsgRefType) iRegInfos[RT(theCode)].messageRefSel = ref; else if (type == OCClassRefType) iRegInfos[RT(theCode)].className = ref; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; } break; case 0x0f: // addis | lis iRegInfos[RT(theCode)].classPtr = NULL; // iRegInfos[RT(theCode)].catPtr = NULL; if (RA(theCode) == 0) // lis { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = UIMM(theCode) << 16; iRegInfos[RT(theCode)].isValid = YES; break; } // addis if (!iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = iRegInfos[RA(theCode)].value + (SIMM(theCode) << 16); iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 0x10: // bcl, bcla case 0x13: // bclrl, bcctrl if (!IS_BRANCH_LINK(theCode)) // fall thru if link break; case 0x12: // b, ba, bl, bla { if (!LK(theCode)) // bl, bla break; iRegInfos[3] = (GP64RegisterInfo){0}; break; } case 0x15: // rlwinm { if (!iRegInfos[RT(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } UInt64 rotatedRT = rotl(iRegInfos[RT(theCode)].value, RB(theCode)); uint32_t theMask = 0x0; UInt8 i; for (i = MB(theCode); i <= ME(theCode); i++) theMask |= 1 << (31 - i); theNewValue = rotatedRT & theMask; iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; } case 0x18: // ori if (!iRegInfos[RT(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = iRegInfos[RT(theCode)].value | (uint32_t)UIMM(theCode); iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; case 0x1e: // rldicl { if (!iRegInfos[RT(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } UInt8 shift = SH(theCode); UInt8 maskBegin = MB64(theCode); UInt64 rotatedRT = rotl64(iRegInfos[RT(theCode)].value, shift); UInt64 theMask = (UInt64)-1 >> maskBegin; theNewValue = rotatedRT & theMask; iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; } case 0x1f: // multiple instructions switch (SO(theCode)) { case 21: // ldx /* if ((RA(theCode) != 0 && !iRegInfos[RA(theCode)].isValid) || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = (RA(theCode) == 0) ? 0 : iRegInfos[RA(theCode)].value + iRegInfos[RB(theCode)].value;*/ iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; case 23: // lwzx iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; case 8: // subfc case 40: // subf if (!iRegInfos[RA(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; } // 2's complement subtraction theNewValue = (iRegInfos[RA(theCode)].value ^= 0xffffffff) + iRegInfos[RB(theCode)].value + 1; iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = theNewValue; iRegInfos[RT(theCode)].isValid = YES; break; case 266: // add if (iRegInfos[RA(theCode)].isValid && iRegInfos[RB(theCode)].isValid) { iRegInfos[RT(theCode)].value = iRegInfos[RA(theCode)].value + iRegInfos[RB(theCode)].value; iRegInfos[RT(theCode)].isValid = YES; iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].className = NULL; iRegInfos[RT(theCode)].messageRefSel = NULL; } else iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; case 339: // mfspr iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; if (SPR(theCode) == LR && // from LR iLR.isValid) { // Copy LR into rD. iRegInfos[RT(theCode)].value = iLR.value; iRegInfos[RT(theCode)].isValid = YES; } break; case 444: // or | or. if (!iRegInfos[RT(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = (iRegInfos[RT(theCode)].value | iRegInfos[RB(theCode)].value); iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; // If we just copied a register, copy the // remaining fields. if (RT(theCode) == RB(theCode)) { iRegInfos[RA(theCode)].classPtr = iRegInfos[RB(theCode)].classPtr; iRegInfos[RA(theCode)].className = iRegInfos[RB(theCode)].className; iRegInfos[RA(theCode)].messageRefSel = iRegInfos[RB(theCode)].messageRefSel; // iRegInfos[RA(theCode)].catPtr = // iRegInfos[RB(theCode)].catPtr; } break; case 467: // mtspr if (SPR(theCode) == CTR) // to CTR { if (!iRegInfos[RS(theCode)].isValid) { iCTR = (GP64RegisterInfo){0}; break; } iCTR.value = iRegInfos[RS(theCode)].value; iCTR.isValid = YES; } break; case 24: // slw if (!iRegInfos[RS(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } if (SB(iRegInfos[RB(theCode)].value)) { theNewValue = iRegInfos[RS(theCode)].value << SV(iRegInfos[RB(theCode)].value); } else // If RB.5 == 0, RA = 0. theNewValue = 0; iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; case 536: // srw if (!iRegInfos[RS(theCode)].isValid || !iRegInfos[RB(theCode)].isValid) { iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; break; } theNewValue = iRegInfos[RS(theCode)].value >> SV(iRegInfos[RB(theCode)].value); iRegInfos[RA(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RA(theCode)].value = theNewValue; iRegInfos[RA(theCode)].isValid = YES; break; default: // Ideally, we would zero the destination register here. Sadly, because SO values can vary in their formats, we don't know which register is the destination. break; } break; case 0x20: // lwz case 0x22: // lbz if (RA(theCode) == 0) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = SIMM(theCode); iRegInfos[RT(theCode)].isValid = YES; } else if (iRegInfos[RA(theCode)].isValid) { void *tempPtr = [self getPointer:iRegInfos[RA(theCode)].value + SIMM(theCode) type:NULL]; if (tempPtr) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = *(uint32_t*)tempPtr; iRegInfos[RT(theCode)].value = OSSwapBigToHostInt64(iRegInfos[RT(theCode)].value); iRegInfos[RT(theCode)].isValid = YES; } else iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; } else if (iLocalVars) { uint32_t i; for (i = 0; i < iNumLocalVars; i++) { if (iLocalVars[i].offset == SIMM(theCode)) { iRegInfos[RT(theCode)] = iLocalVars[i].regInfo; break; } } } else iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; break; /* case 0x22: // lbz mRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; if (RA(theCode) == 0) { mRegInfos[RT(theCode)].value = SIMM(theCode); mRegInfos[RT(theCode)].isValid = YES; } break;*/ case 0x24: // stw if (!iRegInfos[RT(theCode)].isValid || RA(theCode) != 1 || SIMM(theCode) < 0) break; if (iRegInfos[RT(theCode)].classPtr) // if it's a class { iNumLocalSelves++; iLocalSelves = realloc(iLocalSelves, iNumLocalSelves * sizeof(Var64Info)); iLocalSelves[iNumLocalSelves - 1] = (Var64Info) {iRegInfos[RT(theCode)], UIMM(theCode)}; } else { iNumLocalVars++; iLocalVars = realloc(iLocalVars, iNumLocalVars * sizeof(Var64Info)); iLocalVars[iNumLocalVars - 1] = (Var64Info) {iRegInfos[RT(theCode)], UIMM(theCode)}; } break; /* case 0x21: case 0x23: case 0x25: case 0x26: case 0x27: case 0x28: case 0x29: case 0x2a: case 0x2b: case 0x2c: case 0x2d: case 0x2e: case 0x2f: break;*/ case 0x3a: // ld { if (RA(theCode) == 0) { iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; iRegInfos[RT(theCode)].value = DS(theCode); iRegInfos[RT(theCode)].isValid = YES; } else if (iRegInfos[RA(theCode)].className != NULL && DS(theCode) == 0) { iRegInfos[RT(theCode)] = iRegInfos[RA(theCode)]; } else if (iRegInfos[RA(theCode)].isValid) { iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].className = NULL; iRegInfos[RT(theCode)].messageRefSel = NULL; UInt64 newValue = iRegInfos[RA(theCode)].value + DS(theCode); iRegInfos[RT(theCode)].value = newValue; iRegInfos[RT(theCode)].isValid = YES; UInt8 type; char* ref = [self getPointer:newValue type:&type]; if (type == OCClassRefType || type == OCSuperRefType) iRegInfos[RT(theCode)].className = ref; } else if (RA(theCode) == 1 && DS(theCode) >= 0) { BOOL found = NO; uint32_t i; // Check for copied self pointer. This happens mostly in "init" // methods, as in: "self = [super init]" if (iLocalSelves) // self was copied to a local variable { // If we're accessing a local var copy of self, // copy that info back to the reg in question. for (i = 0; i < iNumLocalSelves; i++) { if (iLocalSelves[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalSelves[i].regInfo; found = YES; break; } } if (found) break; // Check for other local variables. if (iLocalVars) { for (i = 0; i < iNumLocalVars; i++) { if (iLocalVars[i].offset != UIMM(theCode)) continue; iRegInfos[RT(theCode)] = iLocalVars[i].regInfo; found = YES; break; } } // We don't know what's being loaded, just zero the receiver. if (found == NO) iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; } else iRegInfos[RT(theCode)] = (GP64RegisterInfo){0}; /* else if (iRegInfos[RA(theCode)].isValid) { UInt64 address = iRegInfos[RA(theCode)].value + DS(theCode); UInt8 ptrType = PointerType; char* sel = [self getPointer:address type:&ptrType]; if (sel != NULL && ptrType == OCMsgRefType) iRegInfos[RT(theCode)].messageRefSel = sel; else iRegInfos[RT(theCode)].messageRefSel = NULL; iRegInfos[RT(theCode)].classPtr = NULL; iRegInfos[RT(theCode)].className = NULL; iRegInfos[RT(theCode)].value = address; iRegInfos[RT(theCode)].isValid = YES; }*/ break; } case 0x3e: // std if (!iRegInfos[RT(theCode)].isValid || RA(theCode) != 1 || DS(theCode) < 0) break; if (iRegInfos[RT(theCode)].classPtr) // if it's a class { iNumLocalSelves++; iLocalSelves = realloc(iLocalSelves, iNumLocalSelves * sizeof(Var64Info)); iLocalSelves[iNumLocalSelves - 1] = (Var64Info){iRegInfos[RT(theCode)], (uint32_t)DS(theCode)}; } else { iNumLocalVars++; iLocalVars = realloc(iLocalVars, iNumLocalVars * sizeof(Var64Info)); iLocalVars[iNumLocalVars - 1] = (Var64Info) {iRegInfos[RT(theCode)], (uint32_t)DS(theCode)}; } break; default: break; } } // restoreRegisters: // ---------------------------------------------------------------------------- - (BOOL)restoreRegisters: (Line64*)inLine { if (!inLine) { fprintf(stderr, "otx: [PPC64Processor restoreRegisters]: " "tried to restore with NULL inLine\n"); return NO; } BOOL needNewLine = NO; if (iCurrentFuncInfoIndex < 0) return NO; // Search current Function64Info for blocks that start at this address. Function64Info* funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; if (!funcInfo->blocks) return NO; uint32_t i; for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress != inLine->info.address) continue; // Update machine state. Machine64State machState = funcInfo->blocks[i].state; memcpy(iRegInfos, machState.regInfos, sizeof(GP64RegisterInfo) * 32); iLR = machState.regInfos[LRIndex]; iCTR = machState.regInfos[CTRIndex]; if (machState.localSelves) { if (iLocalSelves) free(iLocalSelves); iNumLocalSelves = machState.numLocalSelves; iLocalSelves = malloc( sizeof(Var64Info) * iNumLocalSelves); memcpy(iLocalSelves, machState.localSelves, sizeof(Var64Info) * iNumLocalSelves); } if (machState.localVars) { if (iLocalVars) free(iLocalVars); iNumLocalVars = machState.numLocalVars; iLocalVars = malloc( sizeof(Var64Info) * iNumLocalVars); memcpy(iLocalVars, machState.localVars, sizeof(Var64Info) * iNumLocalVars); } // Optionally add a blank line before this block. if (iOpts.separateLogicalBlocks && inLine->chars[0] != '\n' && !inLine->info.isFunction) needNewLine = YES; break; } // for (i = 0...) return needNewLine; } // lineIsFunction: // ---------------------------------------------------------------------------- - (BOOL)lineIsFunction: (Line64*)inLine { if (!inLine) return NO; UInt64 theAddy = inLine->info.address; if (theAddy == iAddrDyldStubBindingHelper || theAddy == iAddrDyldFuncLookupPointer) return YES; Method64Info* theDummyInfo = NULL; // In Obj-C apps, the majority of funcs will have Obj-C symbols, so check // those first. if ([self findClassMethod:&theDummyInfo byAddress:theAddy]) return YES; // if ([self findCatMethod:&theDummyInfo byAddress:theAddy]) // return YES; // If it's not an Obj-C method, maybe there's an nlist. if ([self findSymbolByAddress:theAddy]) return YES; // If otool gave us a function name... if (inLine->prev && !inLine->prev->info.isCode) return YES; BOOL isFunction = NO; uint32_t theCode = *(uint32_t*)inLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if ((theCode & 0xfc1fffff) == 0x7c0802a6) // mflr to any reg { // Allow for late mflr BOOL foundUB = NO; Line64* thePrevLine = inLine->prev; // Walk back to the most recent unconditional branch, looking // for existing symbols. while (!foundUB && thePrevLine) { // Allow for multiple mflr's if (thePrevLine->info.isFunction) return NO; theCode = *(uint32_t*)thePrevLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if ((theCode & 0xfc0007ff) == 0x7c000008) // trap { foundUB = YES; continue; } UInt8 opcode = PO(theCode); if (opcode == 16 || opcode == 18 || opcode == 19) // bc, bca, bcl, bcla, b, ba, bl, bla, bclr, bclrl and more { if (!IS_BRANCH_CONDITIONAL(theCode) && theCode != 0x429f0005 && // bcl w/ "always branch" (theCode & 0x48000001) != 0x48000001) // bl foundUB = YES; } if (!foundUB) thePrevLine = thePrevLine->prev; } if (!thePrevLine) return YES; thePrevLine = thePrevLine->next; // If the code line following the most recent unconditional // branch is not already recognized, flag it now. if (thePrevLine == inLine) isFunction = YES; else { BOOL foundStart = NO; for (; thePrevLine != inLine; thePrevLine = thePrevLine->next) { if (!thePrevLine->info.isCode) continue; // not code, keep looking else if (!thePrevLine->info.isFunction) { // not yet recognized, try it theCode = *(uint32_t*)thePrevLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (theCode == 0x7fe00008 || // ignore traps theCode == 0x60000000 || // ignore nops theCode == 0x00000000) // ignore .longs continue; else { thePrevLine->info.isFunction = YES; foundStart = YES; break; } } else // already recognized, bail { foundStart = YES; break; } } if (!foundStart) isFunction = YES; } } // if (theCode == 0x7c0802a6) return isFunction; } // codeIsBlockJump: // ---------------------------------------------------------------------------- - (BOOL)codeIsBlockJump: (UInt8*)inCode { uint32_t theCode = *(uint32_t*)inCode; theCode = OSSwapBigToHostInt32(theCode); return IS_BLOCK_BRANCH(theCode); } // gatherFuncInfos // ---------------------------------------------------------------------------- - (void)gatherFuncInfos { Line64* theLine = iPlainLineListHead; uint32_t theCode; uint32_t progCounter = 0; // Loop thru lines. while (theLine) { if (!(progCounter % (PROGRESS_FREQ * 5))) { if (gCancel == YES) return; // [NSThread sleepForTimeInterval: 0.0]; } if (!theLine->info.isCode) { theLine = theLine->next; continue; } theCode = *(uint32_t*)theLine->info.code; theCode = OSSwapBigToHostInt32(theCode); if (theLine->info.isFunction) { iCurrentFuncPtr = theLine->info.address; [self resetRegisters:theLine]; } else [self restoreRegisters:theLine]; [self updateRegisters:theLine]; // Check if we need to save the machine state. if (IS_BLOCK_BRANCH(theCode) && iCurrentFuncInfoIndex >= 0 && PO(theCode) != 0x13) // no new blocks for blr, bctr { UInt64 branchTarget = 0; // Retrieve the branch target. if (PO(theCode) == 0x12) // b branchTarget = theLine->info.address + LI(theCode); else if (PO(theCode) == 0x10) // bc branchTarget = theLine->info.address + BD(theCode); // Retrieve current Function64Info. Function64Info* funcInfo = &iFuncInfos[iCurrentFuncInfoIndex]; // 'currentBlock' will point to either an existing block which // we will update, or a newly allocated block. Block64Info* currentBlock = NULL; Line64* endLine = NULL; BOOL isEpilog = NO; uint32_t i; if (funcInfo->blocks) { // Blocks exist, find 1st one matching this address. // This is an exhaustive search, but the speed hit should // only be an issue with extremely long functions. for (i = 0; i < funcInfo->numBlocks; i++) { if (funcInfo->blocks[i].beginAddress == branchTarget) { currentBlock = &funcInfo->blocks[i]; break; } } if (currentBlock) { // Determine if the target block is an epilog. if (currentBlock->endLine == NULL && iOpts.returnStatements) { // Find the first line of the target block. Line64 searchKey = {NULL, 0, NULL, NULL, NULL, {branchTarget, {0}, YES, NO}}; Line64* searchKeyPtr = &searchKey; Line64** beginLine = bsearch(&searchKeyPtr, iLineArray, iNumCodeLines, sizeof(Line64*), (COMPARISON_FUNC_TYPE)Line_Address_Compare); if (beginLine != NULL) { // Walk through the block. It's an epilog if it ends // with 'blr'. Line64* nextLine = *beginLine; uint32_t tempCode; while (nextLine) { tempCode = *(uint32_t*)nextLine->info.code; tempCode = OSSwapBigToHostInt32(tempCode); if (IS_BLOCK_BRANCH(tempCode)) { endLine = nextLine; if (IS_BLR(tempCode)) isEpilog = YES; break; } nextLine = nextLine->next; } } // currentBlock->endLine = endLine; } } else { // No matching blocks found, so allocate a new one. funcInfo->numBlocks++; funcInfo->blocks = realloc(funcInfo->blocks, sizeof(Block64Info) * funcInfo->numBlocks); currentBlock = &funcInfo->blocks[funcInfo->numBlocks - 1]; *currentBlock = (Block64Info){0}; } } else { // No existing blocks, allocate one. funcInfo->numBlocks++; funcInfo->blocks = calloc(1, sizeof(Block64Info)); currentBlock = funcInfo->blocks; } // sanity check if (!currentBlock) { fprintf(stderr, "otx: [PPC64Processor gatherFuncInfos] " "currentBlock is NULL. Flame the dev.\n"); return; } // Create a new Machine64State. GP64RegisterInfo* savedRegs = malloc( sizeof(GP64RegisterInfo) * 34); memcpy(savedRegs, iRegInfos, sizeof(GP64RegisterInfo) * 32); savedRegs[LRIndex] = iLR; savedRegs[CTRIndex] = iCTR; Var64Info* savedSelves = NULL; if (iLocalSelves) { savedSelves = malloc( sizeof(Var64Info) * iNumLocalSelves); memcpy(savedSelves, iLocalSelves, sizeof(Var64Info) * iNumLocalSelves); } Var64Info* savedVars = NULL; if (iLocalVars) { savedVars = malloc( sizeof(Var64Info) * iNumLocalVars); memcpy(savedVars, iLocalVars, sizeof(Var64Info) * iNumLocalVars); } Machine64State machState = {savedRegs, savedSelves, iNumLocalSelves, savedVars, iNumLocalVars}; // Store the new Block64Info. Block64Info blockInfo = {branchTarget, endLine, isEpilog, machState}; memcpy(currentBlock, &blockInfo, sizeof(Block64Info)); } theLine = theLine->next; progCounter++; } iCurrentFuncInfoIndex = -1; } #ifdef OTX_DEBUG // printBlocks: // ---------------------------------------------------------------------------- - (void)printBlocks: (uint32_t)inFuncIndex; { if (!iFuncInfos) return; Function64Info* funcInfo = &iFuncInfos[inFuncIndex]; if (!funcInfo || !funcInfo->blocks) return; uint32_t i, j; fprintf(stderr, "\nfunction at 0x%llx:\n\n", funcInfo->address); fprintf(stderr, "%d blocks\n", funcInfo->numBlocks); for (i = 0; i < funcInfo->numBlocks; i++) { fprintf(stderr, "\nblock %d at 0x%llx:\n\n", i + 1, funcInfo->blocks[i].beginAddress); for (j = 0; j < 32; j++) { if (!funcInfo->blocks[i].state.regInfos[j].isValid) continue; fprintf(stderr, "\t\tr%d: 0x%llx\n", j, funcInfo->blocks[i].state.regInfos[j].value); } } } #endif // OTX_DEBUG @end
github
amcorrigan/IA-Lab-master
choosePlanes.m
.m
IA-Lab-master/GUI/choosePlanes.m
1,713
utf_8
8b73f8946c63776dba8f7342c186874b
function zvalues = choosePlanes(IL,initSelection,parenth) % choose selected z planes for modifying the import file. zidx = find(strcmpi('zslice',IL.ChoiceStruct.Labels),1,'first'); origzvalues = IL.ChoiceStruct.Choices{zidx}; if nargin<3 || isempty(parenth) parenth = gfigure(); end set(parenth,'closerequestfcn',@figclosefun) vbox = uix.VBox('parent',parenth,'padding',20); uicontrol('parent',vbox,'style','text','String','Select planes:'); lbox = uicontrol('parent',vbox,'style','listbox','Max',100,'min',0,... 'string',arrayfun(@num2str,origzvalues,'uni',false),'value',[]); if nargin>1 && ~isempty(initSelection) selinds = any(bsxfun(@eq,origzvalues(:),initSelection(:)'),2); set(lbox,'value',origzvalues(selinds)) end temphbox = uix.HBox('parent',vbox); uicontrol('parent',temphbox,'style','pushbutton','String','Select all',... 'callback',{@selectallcallback,lbox}); uix.Empty('parent',temphbox); uicontrol('parent',temphbox,'style','pushbutton','String','Finish',... 'callback',@(src,evt)close(parenth)); set(temphbox,'widths',[-1,-2,-2]) set(vbox,'heights',[-1,-5,-1]); uiwait(parenth); % get the selected wells, then delete the figure zinds = get(lbox,'value'); zvalues = origzvalues(zinds); delete(parenth) end function selectallcallback(src,evt,lbox) numvals = numel(get(lbox,'String')); % need to check this works even in the event of one plane set(lbox,'value',1:numvals) end function figclosefun(src,evt) if isequal(get(src, 'waitstatus'), 'waiting') % The GUI is still in UIWAIT, us UIRESUME uiresume(src); else % The GUI is no longer waiting, just close it delete(src); end end
github
amcorrigan/IA-Lab-master
chooseWells.m
.m
IA-Lab-master/GUI/chooseWells.m
1,183
utf_8
db96ecfe82d88de9511f61be6874106f
function wellrowcol = chooseWells(IL,initSelection,parenth) % find out what choices are available wellidx = find(strcmpi('well',IL.ChoiceStruct.Labels),1,'first'); [r,c] = wellstr2rowcol(IL.ChoiceStruct.Choices{wellidx}); data = NaN*zeros(IL.PlateDimensions([2,1])); data(amcSub2Ind(size(data),[r,c])) = 1; if nargin<3 || isempty(parenth) parenth = gfigure(); end set(parenth,'closerequestfcn',@figclosefun) if nargin<2 || isempty(initSelection) initSelection = zeros(size(data)); elseif size(initSelection,2)==2 && size(data,2)~=2 temp = initSelection; initSelection = zeros(size(data)); initSelection(amcSub2Ind(size(data),temp)) = 1; end this.WellSelector = PlateShowSelect(data(:,:,[1,1,1]),parenth,initSelection); uiwait(parenth); % get the selected wells, then delete the figure wellinds = this.WellSelector.Status==1; wellrowcol = findn(wellinds); delete(parenth) end function figclosefun(src,evt) if isequal(get(src, 'waitstatus'), 'waiting') % The GUI is still in UIWAIT, us UIRESUME uiresume(src); else % The GUI is no longer waiting, just close it delete(src); end end
github
amcorrigan/IA-Lab-master
getStringGUI.m
.m
IA-Lab-master/GUI/getStringGUI.m
1,184
utf_8
5fc2dd0f88ca0bf52baa4d95bb53748c
function str = getStringGUI(title, msg, varargin) % get the user to enter a string if nargin<2 || isempty(msg) msg = 'Enter some text:'; end if nargin<1 || isempty(title) title = 'Get text'; end fig = gfigure('Name',title,'closerequestfcn',@closereqfun,varargin{:}); vbox = uix.VBox('parent',fig); texth = uicontrol('style','text','String',msg,'parent',vbox); edith = uicontrol('style','edit','parent',vbox); hbox = uix.HBox('parent',vbox); uix.Empty('parent',hbox); okbutton = uicontrol('style','pushbutton','String','OK','parent',hbox,... 'callback',{@OKcallback,fig}); set(hbox,'widths',[-4,-1]) set(vbox,'heights',[-2,-2,-1],'spacing',10,'padding',10) uiwait(fig); str = get(edith,'String'); delete(fig); end function OKcallback(src,evt,fig) uiresume(fig); end function closereqfun(src,evt) if isequal(get(src, 'waitstatus'), 'waiting') % The GUI is still in UIWAIT, us UIRESUME uiresume(src); else % The GUI is no longer waiting, just close it delete(src); end end
github
amcorrigan/IA-Lab-master
chooseFields.m
.m
IA-Lab-master/GUI/chooseFields.m
1,820
utf_8
8cff1357e138e3aeb7e124e10002eb05
function fvalues = chooseFields(IL,initSelection,parenth) % choose selected z planes for modifying the import file. % This could be completely generalised, nothing field or z specific here % apart from the choice of label fidx = find(strcmpi('field',IL.ChoiceStruct.Labels),1,'first'); origfvalues = IL.ChoiceStruct.Choices{fidx}; if nargin<3 || isempty(parenth) parenth = gfigure(); end set(parenth,'closerequestfcn',@figclosefun) vbox = uix.VBox('parent',parenth,'padding',20); uicontrol('parent',vbox,'style','text','String','Select planes:'); lbox = uicontrol('parent',vbox,'style','listbox','Max',100,'min',0,... 'string',arrayfun(@num2str,origfvalues,'uni',false),'value',[]); if nargin>1 && ~isempty(initSelection) selinds = any(bsxfun(@eq,origfvalues(:),initSelection(:)'),2); set(lbox,'value',origfvalues(selinds)) end temphbox = uix.HBox('parent',vbox); uicontrol('parent',temphbox,'style','pushbutton','String','Select all',... 'callback',{@selectallcallback,lbox}); uix.Empty('parent',temphbox); uicontrol('parent',temphbox,'style','pushbutton','String','Finish',... 'callback',@(src,evt)close(parenth)); set(temphbox,'widths',[-1,-2,-2]) set(vbox,'heights',[-1,-5,-1]); uiwait(parenth); % get the selected wells, then delete the figure finds = get(lbox,'value'); fvalues = origfvalues(finds); delete(parenth) end function selectallcallback(src,evt,lbox) numvals = numel(get(lbox,'String')); % need to check this works even in the event of one plane set(lbox,'value',1:numvals) end function figclosefun(src,evt) if isequal(get(src, 'waitstatus'), 'waiting') % The GUI is still in UIWAIT, us UIRESUME uiresume(src); else % The GUI is no longer waiting, just close it delete(src); end end
github
amcorrigan/IA-Lab-master
prepareForExport.m
.m
IA-Lab-master/ExportClasses/prepareForExport.m
2,849
utf_8
b51365d0b86be053e25c4b1c4fc72590
function stats2 = prepareForExport(stats,include,exclude) % prepare the statistics structure for export % % To export to a csv-type file, each of the fields should contain only % scalars % So go through the fields, and if there are non-scalars, replace the field % with multiple fields, one for each element fnames = fieldnames(stats); if nargin<3 if nargin==2 && isstruct(include) inames = fieldnames(include); ind = find(strcmpi('exclude',inames),1,'first'); if ~isempty(ind) exclude = include.(inames{ind}); else exclude = false(numel(fnames),1); end ind = find(strcmpi('include',inames),1,'first'); if ~isempty(ind) include = include.(inames{ind}); else include = true(numel(fnames),1); end else exclude = false(numel(fnames),1); end end if nargin<2 || isempty(include) include = true(numel(fnames),1); end if iscell(exclude) exclude = cellfun(@(x)any(strcmpi(x,exclude)),fnames); end if iscell(include) % cell array of field names supplied % fstr = include; include = cellfun(@(x)any(strcmpi(x,include)),fnames); end maxSize = zeros(numel(fnames),1); % skip = false(numel(fnames),1); skip = exclude(:) | ~include(:); for ii = 1:numel(fnames) fieldsize = arrayfun(@(x)numel(x.(fnames{ii})),stats); maxSize(ii) = max(fieldsize); maxInd = find(fieldsize==maxSize(ii),1,'first'); if iscell(stats(maxInd).(fnames{ii})) % for a cell array, check that it's strings inside if ~ischar(stats(maxInd).(fnames{ii}){1}) skip(ii) = true; end elseif ischar(stats(maxInd).(fnames{ii})) maxSize(ii) = 1; % strings of any length can be accommodated end end trivial = maxSize<=1 & ~skip; nonTrivial = maxSize>1 & ~skip; for ii = 1:numel(fnames) if trivial(ii) % this syntax is awful! [stats2(1:numel(stats),1).(fnames{ii})] = stats.(fnames{ii}); elseif nonTrivial(ii) fmt = ['%s_%0.', num2str(ceil(log10(maxSize(ii)))), 'd']; for jj = 1:maxSize(ii) newname = sprintf(fmt,fnames{ii},jj); tempval = arrayfun(@(x)subarrayfcn(x,fnames{ii},jj),stats,'uni',false); [stats2(1:numel(stats),1).(newname)] = tempval{:}; end end end if ~exist('stats2','var') stats2 = struct; end end function val = subarrayfcn(x,fname,ind) % this function is used by arrayfun above to extract the ind'th element of % the field fname of the structure x, or NaN if that element doesn't exist % % ie % x.(fname)(ind) if numel(x.(fname))<ind val = NaN; else val = x.(fname)(ind); end end
github
amcorrigan/IA-Lab-master
label2outline.m
.m
IA-Lab-master/Utilities/label2outline.m
3,037
utf_8
5ecb67916987dd5c80e4bee236a291db
function bordxy = label2outline(L,skip,interpfact) % Currently the interpolation means that there is a bit of a discontinuity % at the join, this needs tidying up by extending the range of the % interpolation input % no real logic behind choosing these factors, just whatever looks nice and % retains the detail of the label matrix if nargin<2 || isempty(skip) skip = 6; end if nargin<3 || isempty(interpfact) interpfact = 2*skip; end stats = labelBorder2D(L); bordxy = cell(numel(stats),1); for ii = 1:numel(stats) borderskip = stats(ii).border([(1:skip:end-1),1],:); % make sure circular if ~isnan(interpfact) inds = (-1:(size(borderskip,1)+2))'; actinds = mod(inds-1,size(borderskip,1))+1; bordxy{ii} = interp1(inds,borderskip(actinds,:),... linspace(1,size(borderskip,1),interpfact*size(borderskip,1))','spline'); else bordxy{ii} = borderskip; end end end function stats = labelBorder2D(L) % return a structure which contains border information for the different % regions in the label matrix L. % Absolute means that the centroid isn't subtracted off % this approach is predicated on having 2D separation. This means that 3D % overlapping objects or objects without a boundary of zeros separating % them will cause problems bw = L>0; [B,L2] = bwboundaries(bw,8,'noholes'); if max(L2(:))==max(L(:)) cumL = borderLength(B); stats = regionprops(L2,L,'MeanIntensity'); for ii = 1:numel(stats) % stats(ii).rawborder = B{ii}; stats(ii).cumL = cumL{ii}; stats(ii).border = B{ii}; end % rearrange based on the mean region intensity, which should always match % exactly with the region in the original matrix ix = [stats.MeanIntensity]; % stats = stats(ix); stats(ix) = stats; stats = rmfield(stats,'MeanIntensity'); else % no clear 2D boundary, so have to do one label at a time % This also carries the assumption that each region is contiguous. for ii = 1:max(L(:)) if nnz(L==ii)>0 B = bwboundaries(L==ii,8,'noholes'); if ~iscell(B) B = {B}; % easier to do this way round.. end cumL = borderLength(B); tstats.cumL = cumL{1}; tstats.border = B{1}; stats(ii) = tstats; else tstats.cumL = NaN; tstats.border = NaN; stats(ii) = tstats; end end end end function cumL = borderLength(B) % return the cumulative length along the border pixels contained in B if ~iscell(B) B = {B}; end cumL = cell(size(B)); for ii = 1:numel(B) dd = diff(B{ii},1,1); sL = sqrt(sum(dd.^2,2));% simple addition may be quicker than calling sum % but MIGHT not alway be in 2D.. cumL{ii} = [0;cumsum(sL)]; end end
github
amcorrigan/IA-Lab-master
expandCellIndices.m
.m
IA-Lab-master/Utilities/expandCellIndices.m
800
utf_8
88d51af88990f29b0c4028308028871a
function expandIdx = expandCellIndices(cellidx) % expand the cell indices cellidx into a list of permutations % use a recursive function? expandIdx = recurseexpand(cellidx{1},cellidx(2:end)); end function expandIdx = recurseexpand(currlist,remcellidx) % for every element of currlist, combine with each element of the next cellidx % and then call the next level down try if isempty(remcellidx) expandIdx = currlist; else initlen = size(currlist,1); nextlen = numel(remcellidx{1}); newidx = [currlist(ceil((1:(initlen*nextlen))/nextlen),:), repmat(remcellidx{1}(:),[initlen,1])]; expandIdx = recurseexpand(newidx,remcellidx(2:end)); end catch ME rethrow(ME) end end
github
amcorrigan/IA-Lab-master
matchLabels.m
.m
IA-Lab-master/Utilities/matchLabels.m
865
utf_8
c436f156ccd8f0e0b607f5edd2c4847b
function [Lnew,probvals] = matchLabels(L2,Lseed) % adjust the values in L2 so that they match those in the seed region. % Try not to assume that the seed region will be wholely contained within % L2, but that there is overlap. % % also, optionally check for confusion in which region is which, and flag % this up L3 = L2; L3(Lseed==0) = 0; stats = regionprops(L3,'PixelIdxList'); idxlist = {stats.PixelIdxList}'; % need to remove zeros and then check that the variance is zero and find % the mean value % is this any quicker than doing in a loop?? [mu,vv] = cellfun(@(x)meanvarfunction(x,Lseed),idxlist); probvals = find(vv>0); mu(probvals) = 0; mu = [0;mu(:)]; Lnew = mu(L2+1); end function [mu,vv] = meanvarfunction(idx,L2) vals = L2(idx); vals(vals==0) = []; mu = mean(vals); vv = mean(vals.^2) - mu.^2; end
github
amcorrigan/IA-Lab-master
az_parseXML_ChannelColour_mes.m
.m
IA-Lab-master/Utilities/az_parseXML_ChannelColour_mes.m
3,396
utf_8
d6908fa960c4fea024cc188e7a861100
function o_struct = az_parseXML_ChannelColour_mes(i_fileName) % % i_fileName = '\\UK-Image-01\HCB\Technology Eval\Automated confocal\Yokogawa CV7000\CV7000 Demo Data\Corrected Images\Bead 96well_20140827_122725\AssayPlate_BD_#353219\JP_60x_beads_96w_4col.mes' try tree = xmlread(i_fileName); catch error('Failed to read XML file %s.',i_fileName); end % Recurse over child nodes. This could run into problems % with very deeply nested trees. try xmlStruct = parseChildNodes(tree); catch error('Unable to parse XML file %s.',i_fileName); end %%____________________________________________________________ %% counter = 0; for i = 1:length(xmlStruct.Children) if strcmp(xmlStruct.Children(i).Name, 'bts:ChannelList') == true for j = 1:length(xmlStruct.Children(i).Children) if strcmp(xmlStruct.Children(i).Children(j).Name, 'bts:Channel') == true counter = counter + 1; o_struct(counter).Ch = uint8(str2double(xmlStruct.Children(i).Children(j).Attributes.Ch)); o_struct(counter).Colour(1) = hex2dec(xmlStruct.Children(i).Children(j).Attributes.Color(4:5))/255; o_struct(counter).Colour(2) = hex2dec(xmlStruct.Children(i).Children(j).Attributes.Color(6:7))/255; o_struct(counter).Colour(3) = hex2dec(xmlStruct.Children(i).Children(j).Attributes.Color(8:9))/255; end; end; break; end; end; end % ----- Local function PARSECHILDNODES ----- function children = parseChildNodes(theNode) % Recurse over node children. children = []; if theNode.hasChildNodes childNodes = theNode.getChildNodes; numChildNodes = childNodes.getLength; allocCell = cell(1, numChildNodes); children = struct( ... 'Name', allocCell, ... 'Attributes', allocCell, ... 'Children', allocCell); for count = 1:numChildNodes theChild = childNodes.item(count-1); children(count) = makeStructFromNode(theChild); end end end % ----- Local function MAKESTRUCTFROMNODE ----- function nodeStruct = makeStructFromNode(theNode) % Create structure of node info. nodeStruct = struct( ... 'Name', char(theNode.getNodeName), ... 'Attributes', parseAttributes(theNode), ... 'Children', parseChildNodes(theNode)); end % ----- Local function PARSEATTRIBUTES ----- function attributes = parseAttributes(theNode) % Create attributes structure. attributes = []; if theNode.hasAttributes theAttributes = theNode.getAttributes; numAttributes = theAttributes.getLength; %-- Delete the leading 'dts:' if any token = 'bts:'; for count = 1:numAttributes attrib = theAttributes.item(count-1); %-- Delete the leading 'dts:' if any aName = char(attrib.getName); [~,endIndex] = regexp(aName,token); if ~isempty(endIndex) tempName = aName(endIndex + 1 : end); attributes.(tempName) = char(attrib.getValue); end end; end end
github
amcorrigan/IA-Lab-master
parseChildNodes.m
.m
IA-Lab-master/Utilities/parseChildNodes.m
1,742
utf_8
aa71c09fe13a05a2507661f5a965daa6
function children = parseChildNodes(theNode) % Recurse over node children. children = []; if theNode.hasChildNodes childNodes = theNode.getChildNodes; numChildNodes = childNodes.getLength; allocCell = cell(1, numChildNodes); children = struct( ... 'Name', allocCell, ... 'Attributes', allocCell, ... 'Children', allocCell); for count = 1:numChildNodes theChild = childNodes.item(count-1); children(count) = makeStructFromNode(theChild); end end end % ----- Local function MAKESTRUCTFROMNODE ----- function nodeStruct = makeStructFromNode(theNode) % Create structure of node info. nodeStruct = struct( ... 'Name', char(theNode.getNodeName), ... 'Attributes', parseAttributes(theNode), ... 'Children', parseChildNodes(theNode)); end % ----- Local function PARSEATTRIBUTES ----- function attributes = parseAttributes(theNode) % Create attributes structure. attributes = []; if theNode.hasAttributes theAttributes = theNode.getAttributes; numAttributes = theAttributes.getLength; %-- Delete the leading 'dts:' if any token = 'bts:'; for count = 1:numAttributes attrib = theAttributes.item(count-1); %-- Delete the leading 'dts:' if any aName = char(attrib.getName); [~,endIndex] = regexp(aName,token); if ~isempty(endIndex) tempName = aName(endIndex + 1 : end); attributes.(tempName) = char(attrib.getValue); end end; end end
github
amcorrigan/IA-Lab-master
savejson.m
.m
IA-Lab-master/Utilities/jsonlab/savejson.m
19,584
utf_8
116395347173d949bf39b82ac3bdd794
function json=savejson(rootname,obj,varargin) % % json=savejson(rootname,obj,filename) % or % json=savejson(rootname,obj,opt) % json=savejson(rootname,obj,'param1',value1,'param2',value2,...) % % convert a MATLAB object (cell, struct or array) into a JSON (JavaScript % Object Notation) string % % author: Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % created on 2011/09/09 % % $Id$ % % input: % rootname: the name of the root-object, when set to '', the root name % is ignored, however, when opt.ForceRootName is set to 1 (see below), % the MATLAB variable name will be used as the root name. % obj: a MATLAB object (array, cell, cell array, struct, struct array, % class instance). % filename: a string for the file name to save the output JSON data. % opt: a struct for additional options, ignore to use default values. % opt can have the following fields (first in [.|.] is the default) % % opt.FileName [''|string]: a file name to save the output JSON data % opt.FloatFormat ['%.10g'|string]: format to show each numeric element % of a 1D/2D array; % opt.ArrayIndent [1|0]: if 1, output explicit data array with % precedent indentation; if 0, no indentation % opt.ArrayToStruct[0|1]: when set to 0, savejson outputs 1D/2D % array in JSON array format; if sets to 1, an % array will be shown as a struct with fields % "_ArrayType_", "_ArraySize_" and "_ArrayData_"; for % sparse arrays, the non-zero elements will be % saved to _ArrayData_ field in triplet-format i.e. % (ix,iy,val) and "_ArrayIsSparse_" will be added % with a value of 1; for a complex array, the % _ArrayData_ array will include two columns % (4 for sparse) to record the real and imaginary % parts, and also "_ArrayIsComplex_":1 is added. % opt.ParseLogical [0|1]: if this is set to 1, logical array elem % will use true/false rather than 1/0. % opt.SingletArray [0|1]: if this is set to 1, arrays with a single % numerical element will be shown without a square % bracket, unless it is the root object; if 0, square % brackets are forced for any numerical arrays. % opt.SingletCell [1|0]: if 1, always enclose a cell with "[]" % even it has only one element; if 0, brackets % are ignored when a cell has only 1 element. % opt.ForceRootName [0|1]: when set to 1 and rootname is empty, savejson % will use the name of the passed obj variable as the % root object name; if obj is an expression and % does not have a name, 'root' will be used; if this % is set to 0 and rootname is empty, the root level % will be merged down to the lower level. % opt.Inf ['"$1_Inf_"'|string]: a customized regular expression pattern % to represent +/-Inf. The matched pattern is '([-+]*)Inf' % and $1 represents the sign. For those who want to use % 1e999 to represent Inf, they can set opt.Inf to '$11e999' % opt.NaN ['"_NaN_"'|string]: a customized regular expression pattern % to represent NaN % opt.JSONP [''|string]: to generate a JSONP output (JSON with padding), % for example, if opt.JSONP='foo', the JSON data is % wrapped inside a function call as 'foo(...);' % opt.UnpackHex [1|0]: conver the 0x[hex code] output by loadjson % back to the string form % opt.SaveBinary [0|1]: 1 - save the JSON file in binary mode; 0 - text mode. % opt.Compact [0|1]: 1- out compact JSON format (remove all newlines and tabs) % % opt can be replaced by a list of ('param',value) pairs. The param % string is equivallent to a field in opt and is case sensitive. % output: % json: a string in the JSON format (see http://json.org) % % examples: % jsonmesh=struct('MeshNode',[0 0 0;1 0 0;0 1 0;1 1 0;0 0 1;1 0 1;0 1 1;1 1 1],... % 'MeshTetra',[1 2 4 8;1 3 4 8;1 2 6 8;1 5 6 8;1 5 7 8;1 3 7 8],... % 'MeshTri',[1 2 4;1 2 6;1 3 4;1 3 7;1 5 6;1 5 7;... % 2 8 4;2 8 6;3 8 4;3 8 7;5 8 6;5 8 7],... % 'MeshCreator','FangQ','MeshTitle','T6 Cube',... % 'SpecialData',[nan, inf, -inf]); % savejson('jmesh',jsonmesh) % savejson('',jsonmesh,'ArrayIndent',0,'FloatFormat','\t%.5g') % % license: % BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details % % -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab) % if(nargin==1) varname=inputname(1); obj=rootname; if(isempty(varname)) varname='root'; end rootname=varname; else varname=inputname(2); end if(length(varargin)==1 && ischar(varargin{1})) opt=struct('filename',varargin{1}); else opt=varargin2struct(varargin{:}); end opt.IsOctave=exist('OCTAVE_VERSION','builtin'); if(isfield(opt,'norowbracket')) warning('Option ''NoRowBracket'' is depreciated, please use ''SingletArray'' and set its value to not(NoRowBracket)'); if(~isfield(opt,'singletarray')) opt.singletarray=not(opt.norowbracket); end end rootisarray=0; rootlevel=1; forceroot=jsonopt('ForceRootName',0,opt); if((isnumeric(obj) || islogical(obj) || ischar(obj) || isstruct(obj) || ... iscell(obj) || isobject(obj)) && isempty(rootname) && forceroot==0) rootisarray=1; rootlevel=0; else if(isempty(rootname)) rootname=varname; end end if((isstruct(obj) || iscell(obj))&& isempty(rootname) && forceroot) rootname='root'; end whitespaces=struct('tab',sprintf('\t'),'newline',sprintf('\n'),'sep',sprintf(',\n')); if(jsonopt('Compact',0,opt)==1) whitespaces=struct('tab','','newline','','sep',','); end if(~isfield(opt,'whitespaces_')) opt.whitespaces_=whitespaces; end nl=whitespaces.newline; json=obj2json(rootname,obj,rootlevel,opt); if(rootisarray) json=sprintf('%s%s',json,nl); else json=sprintf('{%s%s%s}\n',nl,json,nl); end jsonp=jsonopt('JSONP','',opt); if(~isempty(jsonp)) json=sprintf('%s(%s);%s',jsonp,json,nl); end % save to a file if FileName is set, suggested by Patrick Rapin filename=jsonopt('FileName','',opt); if(~isempty(filename)) if(jsonopt('SaveBinary',0,opt)==1) fid = fopen(filename, 'wb'); fwrite(fid,json); else fid = fopen(filename, 'wt'); fwrite(fid,json,'char'); end fclose(fid); end %%------------------------------------------------------------------------- function txt=obj2json(name,item,level,varargin) if(iscell(item)) txt=cell2json(name,item,level,varargin{:}); elseif(isstruct(item)) txt=struct2json(name,item,level,varargin{:}); elseif(ischar(item)) txt=str2json(name,item,level,varargin{:}); elseif(isobject(item)) txt=matlabobject2json(name,item,level,varargin{:}); else txt=mat2json(name,item,level,varargin{:}); end %%------------------------------------------------------------------------- function txt=cell2json(name,item,level,varargin) txt={}; if(~iscell(item)) error('input is not a cell'); end dim=size(item); if(ndims(squeeze(item))>2) % for 3D or higher dimensions, flatten to 2D for now item=reshape(item,dim(1),numel(item)/dim(1)); dim=size(item); end len=numel(item); ws=jsonopt('whitespaces_',struct('tab',sprintf('\t'),'newline',sprintf('\n'),'sep',sprintf(',\n')),varargin{:}); padding0=repmat(ws.tab,1,level); padding2=repmat(ws.tab,1,level+1); nl=ws.newline; bracketlevel=~jsonopt('singletcell',1,varargin{:}); if(len>bracketlevel) if(~isempty(name)) txt={padding0, '"', checkname(name,varargin{:}),'": [', nl}; name=''; else txt={padding0, '[', nl}; end elseif(len==0) if(~isempty(name)) txt={padding0, '"' checkname(name,varargin{:}) '": []'}; name=''; else txt={padding0, '[]'}; end end for i=1:dim(1) if(dim(1)>1) txt(end+1:end+3)={padding2,'[',nl}; end for j=1:dim(2) txt{end+1}=obj2json(name,item{i,j},level+(dim(1)>1)+(len>bracketlevel),varargin{:}); if(j<dim(2)) txt(end+1:end+2)={',' nl}; end end if(dim(1)>1) txt(end+1:end+3)={nl,padding2,']'}; end if(i<dim(1)) txt(end+1:end+2)={',' nl}; end %if(j==dim(2)) txt=sprintf('%s%s',txt,sprintf(',%s',nl)); end end if(len>bracketlevel) txt(end+1:end+3)={nl,padding0,']'}; end txt = sprintf('%s',txt{:}); %%------------------------------------------------------------------------- function txt=struct2json(name,item,level,varargin) txt={}; if(~isstruct(item)) error('input is not a struct'); end dim=size(item); if(ndims(squeeze(item))>2) % for 3D or higher dimensions, flatten to 2D for now item=reshape(item,dim(1),numel(item)/dim(1)); dim=size(item); end len=numel(item); forcearray= (len>1 || (jsonopt('SingletArray',0,varargin{:})==1 && level>0)); ws=struct('tab',sprintf('\t'),'newline',sprintf('\n')); ws=jsonopt('whitespaces_',ws,varargin{:}); padding0=repmat(ws.tab,1,level); padding2=repmat(ws.tab,1,level+1); padding1=repmat(ws.tab,1,level+(dim(1)>1)+forcearray); nl=ws.newline; if(isempty(item)) if(~isempty(name)) txt={padding0, '"', checkname(name,varargin{:}),'": []'}; else txt={padding0, '[]'}; end txt = sprintf('%s',txt{:}); return; end if(~isempty(name)) if(forcearray) txt={padding0, '"', checkname(name,varargin{:}),'": [', nl}; end else if(forcearray) txt={padding0, '[', nl}; end end for j=1:dim(2) if(dim(1)>1) txt(end+1:end+3)={padding2,'[',nl}; end for i=1:dim(1) names = fieldnames(item(i,j)); if(~isempty(name) && len==1 && ~forcearray) txt(end+1:end+5)={padding1, '"', checkname(name,varargin{:}),'": {', nl}; else txt(end+1:end+3)={padding1, '{', nl}; end if(~isempty(names)) for e=1:length(names) txt{end+1}=obj2json(names{e},item(i,j).(names{e}),... level+(dim(1)>1)+1+forcearray,varargin{:}); if(e<length(names)) txt{end+1}=','; end txt{end+1}=nl; end end txt(end+1:end+2)={padding1,'}'}; if(i<dim(1)) txt(end+1:end+2)={',' nl}; end end if(dim(1)>1) txt(end+1:end+3)={nl,padding2,']'}; end if(j<dim(2)) txt(end+1:end+2)={',' nl}; end end if(forcearray) txt(end+1:end+3)={nl,padding0,']'}; end txt = sprintf('%s',txt{:}); %%------------------------------------------------------------------------- function txt=str2json(name,item,level,varargin) txt={}; if(~ischar(item)) error('input is not a string'); end item=reshape(item, max(size(item),[1 0])); len=size(item,1); ws=struct('tab',sprintf('\t'),'newline',sprintf('\n'),'sep',sprintf(',\n')); ws=jsonopt('whitespaces_',ws,varargin{:}); padding1=repmat(ws.tab,1,level); padding0=repmat(ws.tab,1,level+1); nl=ws.newline; sep=ws.sep; if(~isempty(name)) if(len>1) txt={padding1, '"', checkname(name,varargin{:}),'": [', nl}; end else if(len>1) txt={padding1, '[', nl}; end end for e=1:len val=escapejsonstring(item(e,:)); if(len==1) obj=['"' checkname(name,varargin{:}) '": ' '"',val,'"']; if(isempty(name)) obj=['"',val,'"']; end txt(end+1:end+2)={padding1, obj}; else txt(end+1:end+4)={padding0,'"',val,'"'}; end if(e==len) sep=''; end txt{end+1}=sep; end if(len>1) txt(end+1:end+3)={nl,padding1,']'}; end txt = sprintf('%s',txt{:}); %%------------------------------------------------------------------------- function txt=mat2json(name,item,level,varargin) if(~isnumeric(item) && ~islogical(item)) error('input is not an array'); end ws=struct('tab',sprintf('\t'),'newline',sprintf('\n'),'sep',sprintf(',\n')); ws=jsonopt('whitespaces_',ws,varargin{:}); padding1=repmat(ws.tab,1,level); padding0=repmat(ws.tab,1,level+1); nl=ws.newline; sep=ws.sep; if(length(size(item))>2 || issparse(item) || ~isreal(item) || ... (isempty(item) && any(size(item))) ||jsonopt('ArrayToStruct',0,varargin{:})) if(isempty(name)) txt=sprintf('%s{%s%s"_ArrayType_": "%s",%s%s"_ArraySize_": %s,%s',... padding1,nl,padding0,class(item),nl,padding0,regexprep(mat2str(size(item)),'\s+',','),nl); else txt=sprintf('%s"%s": {%s%s"_ArrayType_": "%s",%s%s"_ArraySize_": %s,%s',... padding1,checkname(name,varargin{:}),nl,padding0,class(item),nl,padding0,regexprep(mat2str(size(item)),'\s+',','),nl); end else if(numel(item)==1 && jsonopt('SingletArray',0,varargin{:})==0 && level>0) numtxt=regexprep(regexprep(matdata2json(item,level+1,varargin{:}),'^\[',''),']',''); else numtxt=matdata2json(item,level+1,varargin{:}); end if(isempty(name)) txt=sprintf('%s%s',padding1,numtxt); else if(numel(item)==1 && jsonopt('SingletArray',0,varargin{:})==0) txt=sprintf('%s"%s": %s',padding1,checkname(name,varargin{:}),numtxt); else txt=sprintf('%s"%s": %s',padding1,checkname(name,varargin{:}),numtxt); end end return; end dataformat='%s%s%s%s%s'; if(issparse(item)) [ix,iy]=find(item); data=full(item(find(item))); if(~isreal(item)) data=[real(data(:)),imag(data(:))]; if(size(item,1)==1) % Kludge to have data's 'transposedness' match item's. % (Necessary for complex row vector handling below.) data=data'; end txt=sprintf(dataformat,txt,padding0,'"_ArrayIsComplex_": ','1', sep); end txt=sprintf(dataformat,txt,padding0,'"_ArrayIsSparse_": ','1', sep); if(size(item,1)==1) % Row vector, store only column indices. txt=sprintf(dataformat,txt,padding0,'"_ArrayData_": ',... matdata2json([iy(:),data'],level+2,varargin{:}), nl); elseif(size(item,2)==1) % Column vector, store only row indices. txt=sprintf(dataformat,txt,padding0,'"_ArrayData_": ',... matdata2json([ix,data],level+2,varargin{:}), nl); else % General case, store row and column indices. txt=sprintf(dataformat,txt,padding0,'"_ArrayData_": ',... matdata2json([ix,iy,data],level+2,varargin{:}), nl); end else if(isreal(item)) txt=sprintf(dataformat,txt,padding0,'"_ArrayData_": ',... matdata2json(item(:)',level+2,varargin{:}), nl); else txt=sprintf(dataformat,txt,padding0,'"_ArrayIsComplex_": ','1', sep); txt=sprintf(dataformat,txt,padding0,'"_ArrayData_": ',... matdata2json([real(item(:)) imag(item(:))],level+2,varargin{:}), nl); end end txt=sprintf('%s%s%s',txt,padding1,'}'); %%------------------------------------------------------------------------- function txt=matlabobject2json(name,item,level,varargin) if numel(item) == 0 %empty object st = struct(); else % "st = struct(item);" would produce an inmutable warning, because it % make the protected and private properties visible. Instead we get the % visible properties propertynames = properties(item); for p = 1:numel(propertynames) for o = numel(item):-1:1 % aray of objects st(o).(propertynames{p}) = item(o).(propertynames{p}); end end end txt=struct2json(name,st,level,varargin{:}); %%------------------------------------------------------------------------- function txt=matdata2json(mat,level,varargin) ws=struct('tab',sprintf('\t'),'newline',sprintf('\n'),'sep',sprintf(',\n')); ws=jsonopt('whitespaces_',ws,varargin{:}); tab=ws.tab; nl=ws.newline; if(size(mat,1)==1) pre=''; post=''; level=level-1; else pre=sprintf('[%s',nl); post=sprintf('%s%s]',nl,repmat(tab,1,level-1)); end if(isempty(mat)) txt='null'; return; end floatformat=jsonopt('FloatFormat','%.10g',varargin{:}); %if(numel(mat)>1) formatstr=['[' repmat([floatformat ','],1,size(mat,2)-1) [floatformat sprintf('],%s',nl)]]; %else % formatstr=[repmat([floatformat ','],1,size(mat,2)-1) [floatformat sprintf(',\n')]]; %end if(nargin>=2 && size(mat,1)>1 && jsonopt('ArrayIndent',1,varargin{:})==1) formatstr=[repmat(tab,1,level) formatstr]; end txt=sprintf(formatstr,mat'); txt(end-length(nl):end)=[]; if(islogical(mat) && jsonopt('ParseLogical',0,varargin{:})==1) txt=regexprep(txt,'1','true'); txt=regexprep(txt,'0','false'); end %txt=regexprep(mat2str(mat),'\s+',','); %txt=regexprep(txt,';',sprintf('],\n[')); % if(nargin>=2 && size(mat,1)>1) % txt=regexprep(txt,'\[',[repmat(sprintf('\t'),1,level) '[']); % end txt=[pre txt post]; if(any(isinf(mat(:)))) txt=regexprep(txt,'([-+]*)Inf',jsonopt('Inf','"$1_Inf_"',varargin{:})); end if(any(isnan(mat(:)))) txt=regexprep(txt,'NaN',jsonopt('NaN','"_NaN_"',varargin{:})); end %%------------------------------------------------------------------------- function newname=checkname(name,varargin) isunpack=jsonopt('UnpackHex',1,varargin{:}); newname=name; if(isempty(regexp(name,'0x([0-9a-fA-F]+)_','once'))) return end if(isunpack) isoct=jsonopt('IsOctave',0,varargin{:}); if(~isoct) newname=regexprep(name,'(^x|_){1}0x([0-9a-fA-F]+)_','${native2unicode(hex2dec($2))}'); else pos=regexp(name,'(^x|_){1}0x([0-9a-fA-F]+)_','start'); pend=regexp(name,'(^x|_){1}0x([0-9a-fA-F]+)_','end'); if(isempty(pos)) return; end str0=name; pos0=[0 pend(:)' length(name)]; newname=''; for i=1:length(pos) newname=[newname str0(pos0(i)+1:pos(i)-1) char(hex2dec(str0(pos(i)+3:pend(i)-1)))]; end if(pos(end)~=length(name)) newname=[newname str0(pos0(end-1)+1:pos0(end))]; end end end %%------------------------------------------------------------------------- function newstr=escapejsonstring(str) newstr=str; isoct=exist('OCTAVE_VERSION','builtin'); if(isoct) vv=sscanf(OCTAVE_VERSION,'%f'); if(vv(1)>=3.8) isoct=0; end end if(isoct) escapechars={'\\','\"','\/','\a','\f','\n','\r','\t','\v'}; for i=1:length(escapechars); newstr=regexprep(newstr,escapechars{i},escapechars{i}); end newstr=regexprep(newstr,'\\\\(u[0-9a-fA-F]{4}[^0-9a-fA-F]*)','\$1'); else escapechars={'\\','\"','\/','\a','\b','\f','\n','\r','\t','\v'}; for i=1:length(escapechars); newstr=regexprep(newstr,escapechars{i},regexprep(escapechars{i},'\\','\\\\')); end newstr=regexprep(newstr,'\\\\(u[0-9a-fA-F]{4}[^0-9a-fA-F]*)','\\$1'); end
github
amcorrigan/IA-Lab-master
loadjson.m
.m
IA-Lab-master/Utilities/jsonlab/loadjson.m
16,843
ibm852
76e78ae4dcbb1c593583aa12596c6608
function data = loadjson(fname,varargin) % % data=loadjson(fname,opt) % or % data=loadjson(fname,'param1',value1,'param2',value2,...) % % parse a JSON (JavaScript Object Notation) file or string % % authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % created on 2011/09/09, including previous works from % % Nedialko Krouchev: http://www.mathworks.com/matlabcentral/fileexchange/25713 % created on 2009/11/02 % François Glineur: http://www.mathworks.com/matlabcentral/fileexchange/23393 % created on 2009/03/22 % Joel Feenstra: % http://www.mathworks.com/matlabcentral/fileexchange/20565 % created on 2008/07/03 % % $Id$ % % input: % fname: input file name, if fname contains "{}" or "[]", fname % will be interpreted as a JSON string % opt: a struct to store parsing options, opt can be replaced by % a list of ('param',value) pairs - the param string is equivallent % to a field in opt. opt can have the following % fields (first in [.|.] is the default) % % opt.SimplifyCell [0|1]: if set to 1, loadjson will call cell2mat % for each element of the JSON data, and group % arrays based on the cell2mat rules. % opt.FastArrayParser [1|0 or integer]: if set to 1, use a % speed-optimized array parser when loading an % array object. The fast array parser may % collapse block arrays into a single large % array similar to rules defined in cell2mat; 0 to % use a legacy parser; if set to a larger-than-1 % value, this option will specify the minimum % dimension to enable the fast array parser. For % example, if the input is a 3D array, setting % FastArrayParser to 1 will return a 3D array; % setting to 2 will return a cell array of 2D % arrays; setting to 3 will return to a 2D cell % array of 1D vectors; setting to 4 will return a % 3D cell array. % opt.ShowProgress [0|1]: if set to 1, loadjson displays a progress bar. % % output: % dat: a cell array, where {...} blocks are converted into cell arrays, % and [...] are converted to arrays % % examples: % dat=loadjson('{"obj":{"string":"value","array":[1,2,3]}}') % dat=loadjson(['examples' filesep 'example1.json']) % dat=loadjson(['examples' filesep 'example1.json'],'SimplifyCell',1) % % license: % BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details % % -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab) % global pos inStr len esc index_esc len_esc isoct arraytoken if(regexp(fname,'^\s*(?:\[.*\])|(?:\{.*\})\s*$','once')) string=fname; elseif(exist(fname,'file')) try string = fileread(fname); catch try string = urlread(['file://',fname]); catch string = urlread(['file://',fullfile(pwd,fname)]); end end else error('input file does not exist'); end pos = 1; len = length(string); inStr = string; isoct=exist('OCTAVE_VERSION','builtin'); arraytoken=find(inStr=='[' | inStr==']' | inStr=='"'); jstr=regexprep(inStr,'\\\\',' '); escquote=regexp(jstr,'\\"'); arraytoken=sort([arraytoken escquote]); % String delimiters and escape chars identified to improve speed: esc = find(inStr=='"' | inStr=='\' ); % comparable to: regexp(inStr, '["\\]'); index_esc = 1; len_esc = length(esc); opt=varargin2struct(varargin{:}); if(jsonopt('ShowProgress',0,opt)==1) opt.progressbar_=waitbar(0,'loading ...'); end jsoncount=1; while pos <= len switch(next_char) case '{' data{jsoncount} = parse_object(opt); case '[' data{jsoncount} = parse_array(opt); otherwise error_pos('Outer level structure must be an object or an array'); end jsoncount=jsoncount+1; end % while jsoncount=length(data); if(jsoncount==1 && iscell(data)) data=data{1}; end if(isfield(opt,'progressbar_')) close(opt.progressbar_); end %%------------------------------------------------------------------------- function object = parse_object(varargin) parse_char('{'); object = []; if next_char ~= '}' while 1 str = parseStr(varargin{:}); if isempty(str) error_pos('Name of value at position %d cannot be empty'); end parse_char(':'); val = parse_value(varargin{:}); object.(valid_field(str))=val; if next_char == '}' break; end parse_char(','); end end parse_char('}'); if(isstruct(object)) object=struct2jdata(object); end %%------------------------------------------------------------------------- function object = parse_array(varargin) % JSON array is written in row-major order global pos inStr isoct parse_char('['); object = cell(0, 1); dim2=[]; arraydepth=jsonopt('JSONLAB_ArrayDepth_',1,varargin{:}); pbar=-1; if(isfield(varargin{1},'progressbar_')) pbar=varargin{1}.progressbar_; end if next_char ~= ']' if(jsonopt('FastArrayParser',1,varargin{:})>=1 && arraydepth>=jsonopt('FastArrayParser',1,varargin{:})) [endpos, e1l, e1r]=matching_bracket(inStr,pos); arraystr=['[' inStr(pos:endpos)]; arraystr=regexprep(arraystr,'"_NaN_"','NaN'); arraystr=regexprep(arraystr,'"([-+]*)_Inf_"','$1Inf'); arraystr(arraystr==sprintf('\n'))=[]; arraystr(arraystr==sprintf('\r'))=[]; %arraystr=regexprep(arraystr,'\s*,',','); % this is slow,sometimes needed if(~isempty(e1l) && ~isempty(e1r)) % the array is in 2D or higher D astr=inStr((e1l+1):(e1r-1)); astr=regexprep(astr,'"_NaN_"','NaN'); astr=regexprep(astr,'"([-+]*)_Inf_"','$1Inf'); astr(astr==sprintf('\n'))=[]; astr(astr==sprintf('\r'))=[]; astr(astr==' ')=''; if(isempty(find(astr=='[', 1))) % array is 2D dim2=length(sscanf(astr,'%f,',[1 inf])); end else % array is 1D astr=arraystr(2:end-1); astr(astr==' ')=''; [obj, count, errmsg, nextidx]=sscanf(astr,'%f,',[1,inf]); if(nextidx>=length(astr)-1) object=obj; pos=endpos; parse_char(']'); return; end end try if(~isempty(dim2)) astr=arraystr; astr(astr=='[')=''; astr(astr==']')=''; astr(astr==' ')=''; [obj, count, errmsg, nextidx]=sscanf(astr,'%f,',inf); if(nextidx>=length(astr)-1) object=reshape(obj,dim2,numel(obj)/dim2)'; pos=endpos; parse_char(']'); if(pbar>0) waitbar(pos/length(inStr),pbar,'loading ...'); end return; end end arraystr=regexprep(arraystr,'\]\s*,','];'); catch end else arraystr='['; end try arraystr=regexprep(arraystr,'^\s*\[','{','once'); arraystr=regexprep(arraystr,'\]\s*$','}','once'); if(isoct && regexp(arraystr,'"','once')) error('Octave eval can produce empty cells for JSON-like input'); end object=eval(arraystr); pos=endpos; catch while 1 newopt=varargin2struct(varargin{:},'JSONLAB_ArrayDepth_',arraydepth+1); val = parse_value(newopt); object{end+1} = val; if next_char == ']' break; end parse_char(','); end end end if(jsonopt('SimplifyCell',0,varargin{:})==1) try oldobj=object; object=cell2mat(object')'; if(iscell(oldobj) && isstruct(object) && numel(object)>1 && jsonopt('SimplifyCellArray',1,varargin{:})==0) object=oldobj; elseif(size(object,1)>1 && ismatrix(object)) object=object'; end catch end end parse_char(']'); if(pbar>0) waitbar(pos/length(inStr),pbar,'loading ...'); end %%------------------------------------------------------------------------- function parse_char(c) global pos inStr len pos=skip_whitespace(pos,inStr,len); if pos > len || inStr(pos) ~= c error_pos(sprintf('Expected %c at position %%d', c)); else pos = pos + 1; pos=skip_whitespace(pos,inStr,len); end %%------------------------------------------------------------------------- function c = next_char global pos inStr len pos=skip_whitespace(pos,inStr,len); if pos > len c = []; else c = inStr(pos); end %%------------------------------------------------------------------------- function newpos=skip_whitespace(pos,inStr,len) newpos=pos; while newpos <= len && isspace(inStr(newpos)) newpos = newpos + 1; end %%------------------------------------------------------------------------- function str = parseStr(varargin) global pos inStr len esc index_esc len_esc % len, ns = length(inStr), keyboard if inStr(pos) ~= '"' error_pos('String starting with " expected at position %d'); else pos = pos + 1; end str = ''; while pos <= len while index_esc <= len_esc && esc(index_esc) < pos index_esc = index_esc + 1; end if index_esc > len_esc str = [str inStr(pos:len)]; pos = len + 1; break; else str = [str inStr(pos:esc(index_esc)-1)]; pos = esc(index_esc); end nstr = length(str); switch inStr(pos) case '"' pos = pos + 1; if(~isempty(str)) if(strcmp(str,'_Inf_')) str=Inf; elseif(strcmp(str,'-_Inf_')) str=-Inf; elseif(strcmp(str,'_NaN_')) str=NaN; end end return; case '\' if pos+1 > len error_pos('End of file reached right after escape character'); end pos = pos + 1; switch inStr(pos) case {'"' '\' '/'} str(nstr+1) = inStr(pos); pos = pos + 1; case {'b' 'f' 'n' 'r' 't'} str(nstr+1) = sprintf(['\' inStr(pos)]); pos = pos + 1; case 'u' if pos+4 > len error_pos('End of file reached in escaped unicode character'); end str(nstr+(1:6)) = inStr(pos-1:pos+4); pos = pos + 5; end otherwise % should never happen str(nstr+1) = inStr(pos); keyboard; pos = pos + 1; end end error_pos('End of file while expecting end of inStr'); %%------------------------------------------------------------------------- function num = parse_number(varargin) global pos inStr isoct currstr=inStr(pos:min(pos+30,end)); if(isoct~=0) numstr=regexp(currstr,'^\s*-?(?:0|[1-9]\d*)(?:\.\d+)?(?:[eE][+\-]?\d+)?','end'); [num] = sscanf(currstr, '%f', 1); delta=numstr+1; else [num, one, err, delta] = sscanf(currstr, '%f', 1); if ~isempty(err) error_pos('Error reading number at position %d'); end end pos = pos + delta-1; %%------------------------------------------------------------------------- function val = parse_value(varargin) global pos inStr len if(isfield(varargin{1},'progressbar_')) waitbar(pos/len,varargin{1}.progressbar_,'loading ...'); end switch(inStr(pos)) case '"' val = parseStr(varargin{:}); return; case '[' val = parse_array(varargin{:}); return; case '{' val = parse_object(varargin{:}); return; case {'-','0','1','2','3','4','5','6','7','8','9'} val = parse_number(varargin{:}); return; case 't' if pos+3 <= len && strcmpi(inStr(pos:pos+3), 'true') val = true; pos = pos + 4; return; end case 'f' if pos+4 <= len && strcmpi(inStr(pos:pos+4), 'false') val = false; pos = pos + 5; return; end case 'n' if pos+3 <= len && strcmpi(inStr(pos:pos+3), 'null') val = []; pos = pos + 4; return; end end error_pos('Value expected at position %d'); %%------------------------------------------------------------------------- function error_pos(msg) global pos inStr len poShow = max(min([pos-15 pos-1 pos pos+20],len),1); if poShow(3) == poShow(2) poShow(3:4) = poShow(2)+[0 -1]; % display nothing after end msg = [sprintf(msg, pos) ': ' ... inStr(poShow(1):poShow(2)) '<error>' inStr(poShow(3):poShow(4)) ]; error( ['JSONparser:invalidFormat: ' msg] ); %%------------------------------------------------------------------------- function str = valid_field(str) global isoct % From MATLAB doc: field names must begin with a letter, which may be % followed by any combination of letters, digits, and underscores. % Invalid characters will be converted to underscores, and the prefix % "x0x[Hex code]_" will be added if the first character is not a letter. pos=regexp(str,'^[^A-Za-z]','once'); if(~isempty(pos)) if(~isoct) str=regexprep(str,'^([^A-Za-z])','x0x${sprintf(''%X'',unicode2native($1))}_','once'); else str=sprintf('x0x%X_%s',char(str(1)),str(2:end)); end end if(isempty(regexp(str,'[^0-9A-Za-z_]', 'once' ))) return; end if(~isoct) str=regexprep(str,'([^0-9A-Za-z_])','_0x${sprintf(''%X'',unicode2native($1))}_'); else pos=regexp(str,'[^0-9A-Za-z_]'); if(isempty(pos)) return; end str0=str; pos0=[0 pos(:)' length(str)]; str=''; for i=1:length(pos) str=[str str0(pos0(i)+1:pos(i)-1) sprintf('_0x%X_',str0(pos(i)))]; end if(pos(end)~=length(str)) str=[str str0(pos0(end-1)+1:pos0(end))]; end end %str(~isletter(str) & ~('0' <= str & str <= '9')) = '_'; %%------------------------------------------------------------------------- function endpos = matching_quote(str,pos) len=length(str); while(pos<len) if(str(pos)=='"') if(~(pos>1 && str(pos-1)=='\')) endpos=pos; return; end end pos=pos+1; end error('unmatched quotation mark'); %%------------------------------------------------------------------------- function [endpos, e1l, e1r, maxlevel] = matching_bracket(str,pos) global arraytoken level=1; maxlevel=level; endpos=0; bpos=arraytoken(arraytoken>=pos); tokens=str(bpos); len=length(tokens); pos=1; e1l=[]; e1r=[]; while(pos<=len) c=tokens(pos); if(c==']') level=level-1; if(isempty(e1r)) e1r=bpos(pos); end if(level==0) endpos=bpos(pos); return end end if(c=='[') if(isempty(e1l)) e1l=bpos(pos); end level=level+1; maxlevel=max(maxlevel,level); end if(c=='"') pos=matching_quote(tokens,pos+1); end pos=pos+1; end if(endpos==0) error('unmatched "]"'); end
github
amcorrigan/IA-Lab-master
loadubjson.m
.m
IA-Lab-master/Utilities/jsonlab/loadubjson.m
13,774
utf_8
cf1ef9319b0f46d709ea706a0048f15d
function data = loadubjson(fname,varargin) % % data=loadubjson(fname,opt) % or % data=loadubjson(fname,'param1',value1,'param2',value2,...) % % parse a JSON (JavaScript Object Notation) file or string % % authors:Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % created on 2013/08/01 % % $Id$ % % input: % fname: input file name, if fname contains "{}" or "[]", fname % will be interpreted as a UBJSON string % opt: a struct to store parsing options, opt can be replaced by % a list of ('param',value) pairs - the param string is equivallent % to a field in opt. opt can have the following % fields (first in [.|.] is the default) % % opt.SimplifyCell [0|1]: if set to 1, loadubjson will call cell2mat % for each element of the JSON data, and group % arrays based on the cell2mat rules. % opt.IntEndian [B|L]: specify the endianness of the integer fields % in the UBJSON input data. B - Big-Endian format for % integers (as required in the UBJSON specification); % L - input integer fields are in Little-Endian order. % opt.NameIsString [0|1]: for UBJSON Specification Draft 8 or % earlier versions (JSONLab 1.0 final or earlier), % the "name" tag is treated as a string. To load % these UBJSON data, you need to manually set this % flag to 1. % % output: % dat: a cell array, where {...} blocks are converted into cell arrays, % and [...] are converted to arrays % % examples: % obj=struct('string','value','array',[1 2 3]); % ubjdata=saveubjson('obj',obj); % dat=loadubjson(ubjdata) % dat=loadubjson(['examples' filesep 'example1.ubj']) % dat=loadubjson(['examples' filesep 'example1.ubj'],'SimplifyCell',1) % % license: % BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details % % -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab) % global pos inStr len esc index_esc len_esc isoct arraytoken fileendian systemendian if(regexp(fname,'[\{\}\]\[]','once')) string=fname; elseif(exist(fname,'file')) fid = fopen(fname,'rb'); string = fread(fid,inf,'uint8=>char')'; fclose(fid); else error('input file does not exist'); end pos = 1; len = length(string); inStr = string; isoct=exist('OCTAVE_VERSION','builtin'); arraytoken=find(inStr=='[' | inStr==']' | inStr=='"'); jstr=regexprep(inStr,'\\\\',' '); escquote=regexp(jstr,'\\"'); arraytoken=sort([arraytoken escquote]); % String delimiters and escape chars identified to improve speed: esc = find(inStr=='"' | inStr=='\' ); % comparable to: regexp(inStr, '["\\]'); index_esc = 1; len_esc = length(esc); opt=varargin2struct(varargin{:}); fileendian=upper(jsonopt('IntEndian','B',opt)); [os,maxelem,systemendian]=computer; jsoncount=1; while pos <= len switch(next_char) case '{' data{jsoncount} = parse_object(opt); case '[' data{jsoncount} = parse_array(opt); otherwise error_pos('Outer level structure must be an object or an array'); end jsoncount=jsoncount+1; end % while jsoncount=length(data); if(jsoncount==1 && iscell(data)) data=data{1}; end %%------------------------------------------------------------------------- function object = parse_object(varargin) parse_char('{'); object = []; type=''; count=-1; if(next_char == '$') type=inStr(pos+1); % TODO pos=pos+2; end if(next_char == '#') pos=pos+1; count=double(parse_number()); end if next_char ~= '}' num=0; while 1 if(jsonopt('NameIsString',0,varargin{:})) str = parseStr(varargin{:}); else str = parse_name(varargin{:}); end if isempty(str) error_pos('Name of value at position %d cannot be empty'); end %parse_char(':'); val = parse_value(varargin{:}); num=num+1; object.(valid_field(str))=val; if next_char == '}' || (count>=0 && num>=count) break; end %parse_char(','); end end if(count==-1) parse_char('}'); end if(isstruct(object)) object=struct2jdata(object); end %%------------------------------------------------------------------------- function [cid,len]=elem_info(type) id=strfind('iUIlLdD',type); dataclass={'int8','uint8','int16','int32','int64','single','double'}; bytelen=[1,1,2,4,8,4,8]; if(id>0) cid=dataclass{id}; len=bytelen(id); else error_pos('unsupported type at position %d'); end %%------------------------------------------------------------------------- function [data, adv]=parse_block(type,count,varargin) global pos inStr isoct fileendian systemendian [cid,len]=elem_info(type); datastr=inStr(pos:pos+len*count-1); if(isoct) newdata=int8(datastr); else newdata=uint8(datastr); end id=strfind('iUIlLdD',type); if(id<=5 && fileendian~=systemendian) newdata=swapbytes(typecast(newdata,cid)); end data=typecast(newdata,cid); adv=double(len*count); %%------------------------------------------------------------------------- function object = parse_array(varargin) % JSON array is written in row-major order global pos inStr parse_char('['); object = cell(0, 1); dim=[]; type=''; count=-1; if(next_char == '$') type=inStr(pos+1); pos=pos+2; end if(next_char == '#') pos=pos+1; if(next_char=='[') dim=parse_array(varargin{:}); count=prod(double(dim)); else count=double(parse_number()); end end if(~isempty(type)) if(count>=0) [object, adv]=parse_block(type,count,varargin{:}); if(~isempty(dim)) object=reshape(object,dim); end pos=pos+adv; return; else endpos=matching_bracket(inStr,pos); [cid,len]=elem_info(type); count=(endpos-pos)/len; [object, adv]=parse_block(type,count,varargin{:}); pos=pos+adv; parse_char(']'); return; end end if next_char ~= ']' while 1 val = parse_value(varargin{:}); object{end+1} = val; if next_char == ']' break; end %parse_char(','); end end if(jsonopt('SimplifyCell',0,varargin{:})==1) try oldobj=object; object=cell2mat(object')'; if(iscell(oldobj) && isstruct(object) && numel(object)>1 && jsonopt('SimplifyCellArray',1,varargin{:})==0) object=oldobj; elseif(size(object,1)>1 && ismatrix(object)) object=object'; end catch end end if(count==-1) parse_char(']'); end %%------------------------------------------------------------------------- function parse_char(c) global pos inStr len skip_whitespace; if pos > len || inStr(pos) ~= c error_pos(sprintf('Expected %c at position %%d', c)); else pos = pos + 1; skip_whitespace; end %%------------------------------------------------------------------------- function c = next_char global pos inStr len skip_whitespace; if pos > len c = []; else c = inStr(pos); end %%------------------------------------------------------------------------- function skip_whitespace global pos inStr len while pos <= len && isspace(inStr(pos)) pos = pos + 1; end %%------------------------------------------------------------------------- function str = parse_name(varargin) global pos inStr bytelen=double(parse_number()); if(length(inStr)>=pos+bytelen-1) str=inStr(pos:pos+bytelen-1); pos=pos+bytelen; else error_pos('End of file while expecting end of name'); end %%------------------------------------------------------------------------- function str = parseStr(varargin) global pos inStr % len, ns = length(inStr), keyboard type=inStr(pos); if type ~= 'S' && type ~= 'C' && type ~= 'H' error_pos('String starting with S expected at position %d'); else pos = pos + 1; end if(type == 'C') str=inStr(pos); pos=pos+1; return; end bytelen=double(parse_number()); if(length(inStr)>=pos+bytelen-1) str=inStr(pos:pos+bytelen-1); pos=pos+bytelen; else error_pos('End of file while expecting end of inStr'); end %%------------------------------------------------------------------------- function num = parse_number(varargin) global pos inStr isoct fileendian systemendian id=strfind('iUIlLdD',inStr(pos)); if(isempty(id)) error_pos('expecting a number at position %d'); end type={'int8','uint8','int16','int32','int64','single','double'}; bytelen=[1,1,2,4,8,4,8]; datastr=inStr(pos+1:pos+bytelen(id)); if(isoct) newdata=int8(datastr); else newdata=uint8(datastr); end if(id<=5 && fileendian~=systemendian) newdata=swapbytes(typecast(newdata,type{id})); end num=typecast(newdata,type{id}); pos = pos + bytelen(id)+1; %%------------------------------------------------------------------------- function val = parse_value(varargin) global pos inStr switch(inStr(pos)) case {'S','C','H'} val = parseStr(varargin{:}); return; case '[' val = parse_array(varargin{:}); return; case '{' val = parse_object(varargin{:}); return; case {'i','U','I','l','L','d','D'} val = parse_number(varargin{:}); return; case 'T' val = true; pos = pos + 1; return; case 'F' val = false; pos = pos + 1; return; case {'Z','N'} val = []; pos = pos + 1; return; end error_pos('Value expected at position %d'); %%------------------------------------------------------------------------- function error_pos(msg) global pos inStr len poShow = max(min([pos-15 pos-1 pos pos+20],len),1); if poShow(3) == poShow(2) poShow(3:4) = poShow(2)+[0 -1]; % display nothing after end msg = [sprintf(msg, pos) ': ' ... inStr(poShow(1):poShow(2)) '<error>' inStr(poShow(3):poShow(4)) ]; error( ['JSONparser:invalidFormat: ' msg] ); %%------------------------------------------------------------------------- function str = valid_field(str) global isoct % From MATLAB doc: field names must begin with a letter, which may be % followed by any combination of letters, digits, and underscores. % Invalid characters will be converted to underscores, and the prefix % "x0x[Hex code]_" will be added if the first character is not a letter. pos=regexp(str,'^[^A-Za-z]','once'); if(~isempty(pos)) if(~isoct) str=regexprep(str,'^([^A-Za-z])','x0x${sprintf(''%X'',unicode2native($1))}_','once'); else str=sprintf('x0x%X_%s',char(str(1)),str(2:end)); end end if(isempty(regexp(str,'[^0-9A-Za-z_]', 'once' ))) return; end if(~isoct) str=regexprep(str,'([^0-9A-Za-z_])','_0x${sprintf(''%X'',unicode2native($1))}_'); else pos=regexp(str,'[^0-9A-Za-z_]'); if(isempty(pos)) return; end str0=str; pos0=[0 pos(:)' length(str)]; str=''; for i=1:length(pos) str=[str str0(pos0(i)+1:pos(i)-1) sprintf('_0x%X_',str0(pos(i)))]; end if(pos(end)~=length(str)) str=[str str0(pos0(end-1)+1:pos0(end))]; end end %str(~isletter(str) & ~('0' <= str & str <= '9')) = '_'; %%------------------------------------------------------------------------- function endpos = matching_quote(str,pos) len=length(str); while(pos<len) if(str(pos)=='"') if(~(pos>1 && str(pos-1)=='\')) endpos=pos; return; end end pos=pos+1; end error('unmatched quotation mark'); %%------------------------------------------------------------------------- function [endpos, e1l, e1r, maxlevel] = matching_bracket(str,pos) global arraytoken level=1; maxlevel=level; endpos=0; bpos=arraytoken(arraytoken>=pos); tokens=str(bpos); len=length(tokens); pos=1; e1l=[]; e1r=[]; while(pos<=len) c=tokens(pos); if(c==']') level=level-1; if(isempty(e1r)) e1r=bpos(pos); end if(level==0) endpos=bpos(pos); return end end if(c=='[') if(isempty(e1l)) e1l=bpos(pos); end level=level+1; maxlevel=max(maxlevel,level); end if(c=='"') pos=matching_quote(tokens,pos+1); end pos=pos+1; end if(endpos==0) error('unmatched "]"'); end
github
amcorrigan/IA-Lab-master
saveubjson.m
.m
IA-Lab-master/Utilities/jsonlab/saveubjson.m
18,302
utf_8
71eb65f95dee01aa2bf33ff80a5bf80d
function json=saveubjson(rootname,obj,varargin) % % json=saveubjson(rootname,obj,filename) % or % json=saveubjson(rootname,obj,opt) % json=saveubjson(rootname,obj,'param1',value1,'param2',value2,...) % % convert a MATLAB object (cell, struct or array) into a Universal % Binary JSON (UBJSON) binary string % % author: Qianqian Fang (fangq<at> nmr.mgh.harvard.edu) % created on 2013/08/17 % % $Id$ % % input: % rootname: the name of the root-object, when set to '', the root name % is ignored, however, when opt.ForceRootName is set to 1 (see below), % the MATLAB variable name will be used as the root name. % obj: a MATLAB object (array, cell, cell array, struct, struct array, % class instance) % filename: a string for the file name to save the output UBJSON data % opt: a struct for additional options, ignore to use default values. % opt can have the following fields (first in [.|.] is the default) % % opt.FileName [''|string]: a file name to save the output JSON data % opt.ArrayToStruct[0|1]: when set to 0, saveubjson outputs 1D/2D % array in JSON array format; if sets to 1, an % array will be shown as a struct with fields % "_ArrayType_", "_ArraySize_" and "_ArrayData_"; for % sparse arrays, the non-zero elements will be % saved to _ArrayData_ field in triplet-format i.e. % (ix,iy,val) and "_ArrayIsSparse_" will be added % with a value of 1; for a complex array, the % _ArrayData_ array will include two columns % (4 for sparse) to record the real and imaginary % parts, and also "_ArrayIsComplex_":1 is added. % opt.ParseLogical [1|0]: if this is set to 1, logical array elem % will use true/false rather than 1/0. % opt.SingletArray [0|1]: if this is set to 1, arrays with a single % numerical element will be shown without a square % bracket, unless it is the root object; if 0, square % brackets are forced for any numerical arrays. % opt.SingletCell [1|0]: if 1, always enclose a cell with "[]" % even it has only one element; if 0, brackets % are ignored when a cell has only 1 element. % opt.ForceRootName [0|1]: when set to 1 and rootname is empty, saveubjson % will use the name of the passed obj variable as the % root object name; if obj is an expression and % does not have a name, 'root' will be used; if this % is set to 0 and rootname is empty, the root level % will be merged down to the lower level. % opt.JSONP [''|string]: to generate a JSONP output (JSON with padding), % for example, if opt.JSON='foo', the JSON data is % wrapped inside a function call as 'foo(...);' % opt.UnpackHex [1|0]: conver the 0x[hex code] output by loadjson % back to the string form % % opt can be replaced by a list of ('param',value) pairs. The param % string is equivallent to a field in opt and is case sensitive. % output: % json: a binary string in the UBJSON format (see http://ubjson.org) % % examples: % jsonmesh=struct('MeshNode',[0 0 0;1 0 0;0 1 0;1 1 0;0 0 1;1 0 1;0 1 1;1 1 1],... % 'MeshTetra',[1 2 4 8;1 3 4 8;1 2 6 8;1 5 6 8;1 5 7 8;1 3 7 8],... % 'MeshTri',[1 2 4;1 2 6;1 3 4;1 3 7;1 5 6;1 5 7;... % 2 8 4;2 8 6;3 8 4;3 8 7;5 8 6;5 8 7],... % 'MeshCreator','FangQ','MeshTitle','T6 Cube',... % 'SpecialData',[nan, inf, -inf]); % saveubjson('jsonmesh',jsonmesh) % saveubjson('jsonmesh',jsonmesh,'meshdata.ubj') % % license: % BSD or GPL version 3, see LICENSE_{BSD,GPLv3}.txt files for details % % -- this function is part of JSONLab toolbox (http://iso2mesh.sf.net/cgi-bin/index.cgi?jsonlab) % if(nargin==1) varname=inputname(1); obj=rootname; if(isempty(varname)) varname='root'; end rootname=varname; else varname=inputname(2); end if(length(varargin)==1 && ischar(varargin{1})) opt=struct('filename',varargin{1}); else opt=varargin2struct(varargin{:}); end opt.IsOctave=exist('OCTAVE_VERSION','builtin'); if(isfield(opt,'norowbracket')) warning('Option ''NoRowBracket'' is depreciated, please use ''SingletArray'' and set its value to not(NoRowBracket)'); if(~isfield(opt,'singletarray')) opt.singletarray=not(opt.norowbracket); end end rootisarray=0; rootlevel=1; forceroot=jsonopt('ForceRootName',0,opt); if((isnumeric(obj) || islogical(obj) || ischar(obj) || isstruct(obj) || ... iscell(obj) || isobject(obj)) && isempty(rootname) && forceroot==0) rootisarray=1; rootlevel=0; else if(isempty(rootname)) rootname=varname; end end if((isstruct(obj) || iscell(obj))&& isempty(rootname) && forceroot) rootname='root'; end json=obj2ubjson(rootname,obj,rootlevel,opt); if(~rootisarray) json=['{' json '}']; end jsonp=jsonopt('JSONP','',opt); if(~isempty(jsonp)) json=[jsonp '(' json ')']; end % save to a file if FileName is set, suggested by Patrick Rapin filename=jsonopt('FileName','',opt); if(~isempty(filename)) fid = fopen(filename, 'wb'); fwrite(fid,json); fclose(fid); end %%------------------------------------------------------------------------- function txt=obj2ubjson(name,item,level,varargin) if(iscell(item)) txt=cell2ubjson(name,item,level,varargin{:}); elseif(isstruct(item)) txt=struct2ubjson(name,item,level,varargin{:}); elseif(ischar(item)) txt=str2ubjson(name,item,level,varargin{:}); elseif(isobject(item)) txt=matlabobject2ubjson(name,item,level,varargin{:}); else txt=mat2ubjson(name,item,level,varargin{:}); end %%------------------------------------------------------------------------- function txt=cell2ubjson(name,item,level,varargin) txt=''; if(~iscell(item)) error('input is not a cell'); end dim=size(item); if(ndims(squeeze(item))>2) % for 3D or higher dimensions, flatten to 2D for now item=reshape(item,dim(1),numel(item)/dim(1)); dim=size(item); end bracketlevel=~jsonopt('singletcell',1,varargin{:}); len=numel(item); % let's handle 1D cell first if(len>bracketlevel) if(~isempty(name)) txt=[N_(checkname(name,varargin{:})) '[']; name=''; else txt='['; end elseif(len==0) if(~isempty(name)) txt=[N_(checkname(name,varargin{:})) 'Z']; name=''; else txt='Z'; end end for j=1:dim(2) if(dim(1)>1) txt=[txt '[']; end for i=1:dim(1) txt=[txt obj2ubjson(name,item{i,j},level+(len>bracketlevel),varargin{:})]; end if(dim(1)>1) txt=[txt ']']; end end if(len>bracketlevel) txt=[txt ']']; end %%------------------------------------------------------------------------- function txt=struct2ubjson(name,item,level,varargin) txt=''; if(~isstruct(item)) error('input is not a struct'); end dim=size(item); if(ndims(squeeze(item))>2) % for 3D or higher dimensions, flatten to 2D for now item=reshape(item,dim(1),numel(item)/dim(1)); dim=size(item); end len=numel(item); forcearray= (len>1 || (jsonopt('SingletArray',0,varargin{:})==1 && level>0)); if(~isempty(name)) if(forcearray) txt=[N_(checkname(name,varargin{:})) '[']; end else if(forcearray) txt='['; end end for j=1:dim(2) if(dim(1)>1) txt=[txt '[']; end for i=1:dim(1) names = fieldnames(item(i,j)); if(~isempty(name) && len==1 && ~forcearray) txt=[txt N_(checkname(name,varargin{:})) '{']; else txt=[txt '{']; end if(~isempty(names)) for e=1:length(names) txt=[txt obj2ubjson(names{e},item(i,j).(names{e}),... level+(dim(1)>1)+1+forcearray,varargin{:})]; end end txt=[txt '}']; end if(dim(1)>1) txt=[txt ']']; end end if(forcearray) txt=[txt ']']; end %%------------------------------------------------------------------------- function txt=str2ubjson(name,item,level,varargin) txt=''; if(~ischar(item)) error('input is not a string'); end item=reshape(item, max(size(item),[1 0])); len=size(item,1); if(~isempty(name)) if(len>1) txt=[N_(checkname(name,varargin{:})) '[']; end else if(len>1) txt='['; end end for e=1:len val=item(e,:); if(len==1) obj=[N_(checkname(name,varargin{:})) '' '',S_(val),'']; if(isempty(name)) obj=['',S_(val),'']; end txt=[txt,'',obj]; else txt=[txt,'',['',S_(val),'']]; end end if(len>1) txt=[txt ']']; end %%------------------------------------------------------------------------- function txt=mat2ubjson(name,item,level,varargin) if(~isnumeric(item) && ~islogical(item)) error('input is not an array'); end if(length(size(item))>2 || issparse(item) || ~isreal(item) || ... (isempty(item) && any(size(item))) ||jsonopt('ArrayToStruct',0,varargin{:})) cid=I_(uint32(max(size(item)))); if(isempty(name)) txt=['{' N_('_ArrayType_'),S_(class(item)),N_('_ArraySize_'),I_a(size(item),cid(1)) ]; else if(isempty(item)) txt=[N_(checkname(name,varargin{:})),'Z']; return; else txt=[N_(checkname(name,varargin{:})),'{',N_('_ArrayType_'),S_(class(item)),N_('_ArraySize_'),I_a(size(item),cid(1))]; end end else if(isempty(name)) txt=matdata2ubjson(item,level+1,varargin{:}); else if(numel(item)==1 && jsonopt('SingletArray',0,varargin{:})==0) numtxt=regexprep(regexprep(matdata2ubjson(item,level+1,varargin{:}),'^\[',''),']',''); txt=[N_(checkname(name,varargin{:})) numtxt]; else txt=[N_(checkname(name,varargin{:})),matdata2ubjson(item,level+1,varargin{:})]; end end return; end if(issparse(item)) [ix,iy]=find(item); data=full(item(find(item))); if(~isreal(item)) data=[real(data(:)),imag(data(:))]; if(size(item,1)==1) % Kludge to have data's 'transposedness' match item's. % (Necessary for complex row vector handling below.) data=data'; end txt=[txt,N_('_ArrayIsComplex_'),'T']; end txt=[txt,N_('_ArrayIsSparse_'),'T']; if(size(item,1)==1) % Row vector, store only column indices. txt=[txt,N_('_ArrayData_'),... matdata2ubjson([iy(:),data'],level+2,varargin{:})]; elseif(size(item,2)==1) % Column vector, store only row indices. txt=[txt,N_('_ArrayData_'),... matdata2ubjson([ix,data],level+2,varargin{:})]; else % General case, store row and column indices. txt=[txt,N_('_ArrayData_'),... matdata2ubjson([ix,iy,data],level+2,varargin{:})]; end else if(isreal(item)) txt=[txt,N_('_ArrayData_'),... matdata2ubjson(item(:)',level+2,varargin{:})]; else txt=[txt,N_('_ArrayIsComplex_'),'T']; txt=[txt,N_('_ArrayData_'),... matdata2ubjson([real(item(:)) imag(item(:))],level+2,varargin{:})]; end end txt=[txt,'}']; %%------------------------------------------------------------------------- function txt=matlabobject2ubjson(name,item,level,varargin) if numel(item) == 0 %empty object st = struct(); else % "st = struct(item);" would produce an inmutable warning, because it % make the protected and private properties visible. Instead we get the % visible properties propertynames = properties(item); for p = 1:numel(propertynames) for o = numel(item):-1:1 % aray of objects st(o).(propertynames{p}) = item(o).(propertynames{p}); end end end txt=struct2ubjson(name,st,level,varargin{:}); %%------------------------------------------------------------------------- function txt=matdata2ubjson(mat,level,varargin) if(isempty(mat)) txt='Z'; return; end type=''; hasnegtive=(mat<0); if(isa(mat,'integer') || isinteger(mat) || (isfloat(mat) && all(mod(mat(:),1) == 0))) if(isempty(hasnegtive)) if(max(mat(:))<=2^8) type='U'; end end if(isempty(type)) % todo - need to consider negative ones separately id= histc(abs(max(mat(:))),[0 2^7 2^15 2^31 2^63]); if(isempty(id~=0)) error('high-precision data is not yet supported'); end key='iIlL'; type=key(id~=0); end txt=[I_a(mat(:),type,size(mat))]; elseif(islogical(mat)) logicalval='FT'; if(numel(mat)==1) txt=logicalval(mat+1); else txt=['[$U#' I_a(size(mat),'l') typecast(swapbytes(uint8(mat(:)')),'uint8')]; end else if(numel(mat)==1) txt=['[' D_(mat) ']']; else txt=D_a(mat(:),'D',size(mat)); end end %txt=regexprep(mat2str(mat),'\s+',','); %txt=regexprep(txt,';',sprintf('],[')); % if(nargin>=2 && size(mat,1)>1) % txt=regexprep(txt,'\[',[repmat(sprintf('\t'),1,level) '[']); % end if(any(isinf(mat(:)))) txt=regexprep(txt,'([-+]*)Inf',jsonopt('Inf','"$1_Inf_"',varargin{:})); end if(any(isnan(mat(:)))) txt=regexprep(txt,'NaN',jsonopt('NaN','"_NaN_"',varargin{:})); end %%------------------------------------------------------------------------- function newname=checkname(name,varargin) isunpack=jsonopt('UnpackHex',1,varargin{:}); newname=name; if(isempty(regexp(name,'0x([0-9a-fA-F]+)_','once'))) return end if(isunpack) isoct=jsonopt('IsOctave',0,varargin{:}); if(~isoct) newname=regexprep(name,'(^x|_){1}0x([0-9a-fA-F]+)_','${native2unicode(hex2dec($2))}'); else pos=regexp(name,'(^x|_){1}0x([0-9a-fA-F]+)_','start'); pend=regexp(name,'(^x|_){1}0x([0-9a-fA-F]+)_','end'); if(isempty(pos)) return; end str0=name; pos0=[0 pend(:)' length(name)]; newname=''; for i=1:length(pos) newname=[newname str0(pos0(i)+1:pos(i)-1) char(hex2dec(str0(pos(i)+3:pend(i)-1)))]; end if(pos(end)~=length(name)) newname=[newname str0(pos0(end-1)+1:pos0(end))]; end end end %%------------------------------------------------------------------------- function val=N_(str) val=[I_(int32(length(str))) str]; %%------------------------------------------------------------------------- function val=S_(str) if(length(str)==1) val=['C' str]; else val=['S' I_(int32(length(str))) str]; end %%------------------------------------------------------------------------- function val=I_(num) if(~isinteger(num)) error('input is not an integer'); end if(num>=0 && num<255) val=['U' data2byte(swapbytes(cast(num,'uint8')),'uint8')]; return; end key='iIlL'; cid={'int8','int16','int32','int64'}; for i=1:4 if((num>0 && num<2^(i*8-1)) || (num<0 && num>=-2^(i*8-1))) val=[key(i) data2byte(swapbytes(cast(num,cid{i})),'uint8')]; return; end end error('unsupported integer'); %%------------------------------------------------------------------------- function val=D_(num) if(~isfloat(num)) error('input is not a float'); end if(isa(num,'single')) val=['d' data2byte(num,'uint8')]; else val=['D' data2byte(num,'uint8')]; end %%------------------------------------------------------------------------- function data=I_a(num,type,dim,format) id=find(ismember('iUIlL',type)); if(id==0) error('unsupported integer array'); end % based on UBJSON specs, all integer types are stored in big endian format if(id==1) data=data2byte(swapbytes(int8(num)),'uint8'); blen=1; elseif(id==2) data=data2byte(swapbytes(uint8(num)),'uint8'); blen=1; elseif(id==3) data=data2byte(swapbytes(int16(num)),'uint8'); blen=2; elseif(id==4) data=data2byte(swapbytes(int32(num)),'uint8'); blen=4; elseif(id==5) data=data2byte(swapbytes(int64(num)),'uint8'); blen=8; end if(nargin>=3 && length(dim)>=2 && prod(dim)~=dim(2)) format='opt'; end if((nargin<4 || strcmp(format,'opt')) && numel(num)>1) if(nargin>=3 && (length(dim)==1 || (length(dim)>=2 && prod(dim)~=dim(2)))) cid=I_(uint32(max(dim))); data=['$' type '#' I_a(dim,cid(1)) data(:)']; else data=['$' type '#' I_(int32(numel(data)/blen)) data(:)']; end data=['[' data(:)']; else data=reshape(data,blen,numel(data)/blen); data(2:blen+1,:)=data; data(1,:)=type; data=data(:)'; data=['[' data(:)' ']']; end %%------------------------------------------------------------------------- function data=D_a(num,type,dim,format) id=find(ismember('dD',type)); if(id==0) error('unsupported float array'); end if(id==1) data=data2byte(single(num),'uint8'); elseif(id==2) data=data2byte(double(num),'uint8'); end if(nargin>=3 && length(dim)>=2 && prod(dim)~=dim(2)) format='opt'; end if((nargin<4 || strcmp(format,'opt')) && numel(num)>1) if(nargin>=3 && (length(dim)==1 || (length(dim)>=2 && prod(dim)~=dim(2)))) cid=I_(uint32(max(dim))); data=['$' type '#' I_a(dim,cid(1)) data(:)']; else data=['$' type '#' I_(int32(numel(data)/(id*4))) data(:)']; end data=['[' data]; else data=reshape(data,(id*4),length(data)/(id*4)); data(2:(id*4+1),:)=data; data(1,:)=type; data=data(:)'; data=['[' data(:)' ']']; end %%------------------------------------------------------------------------- function bytes=data2byte(varargin) bytes=typecast(varargin{:}); bytes=bytes(:)';
github
amcorrigan/IA-Lab-master
AddTextToImageWithBorder.m
.m
IA-Lab-master/Utilities/textimage/AddTextToImageWithBorder.m
2,034
utf_8
98e36284eff76a81ec7ab9b7a1986c24
function Image = AddTextToImageWithBorder(Image,String,Position,Color,Font,FontSize,BorderWidth,BorderColor) % Image = AddTextToImage(Image,String,Position,Color,Font,FontSize,BorderWidth,BorderColor) % % Works as AddTextToImage, except also allows for a border of thickness % BorderWidth pixels and color given by BorderColor. BorderColor should % be a 1- or 3-element vector giving Y or RGB in the range 0 to 1 % regardless of the image class. % % If no border parameters are provided, default is 1 pixel black. % % Daniel Warren % Particle Therapy Cancer Research Institute % University of Oxford if ~exist('BorderWidth','var') BorderWidth = 1; end if ~exist('BorderColor','var') BorderColor = 0; end if BorderWidth == 0 Image = AddTextToImage(Image,String,Position,Color,Font,FontSize); return; end % uint8 images go from 0 to 255, whereas double ones go from 0 to 1 if isa(Image, 'uint8') ScaleFactor = 255; else ScaleFactor = 1; end % monochrome images need monochrome text, colour images need colour text if ndims(Image) == 2 %#ok<ISMAT> BorderColor = mean(BorderColor(:)); end if ndims(Image) == 3 && numel(BorderColor) == 1 BorderColor = [BorderColor BorderColor BorderColor]; end Mask = AddTextToImage(false(size(Image(:,:,1))),String,Position,1,Font,FontSize); ConvElement = double(CircleMask(1+2*BorderWidth,1+2*BorderWidth,BorderWidth+0.5,BorderWidth+0.5,0.5+BorderWidth)); Outline = xor(conv2(double(Mask),ConvElement,'same'),Mask); Image = AddTextToImage(Image,String,Position,Color,Font,FontSize); for i = 1:size(Image,3) tmp = Image(:,:,i); tmp(Outline) = ScaleFactor*BorderColor(i); Image(:,:,i) = tmp; end end function out = CircleMask(w,h,cx,cy,r) % function out = CircleMask(w,h,cx,cy,r) % Outputs a 1D bitmap of a solid circle of radius r pixels % centered at pixel (cx,cy) within an matrix of size w x h % pixels. [x y] = meshgrid(1:w,1:h); out = ((x-cx-0.5).^2+(y-cy-0.5).^2) <= r^2; end
github
amcorrigan/IA-Lab-master
real2rgb.m
.m
IA-Lab-master/Utilities/sc/real2rgb.m
4,918
utf_8
e3d94e10c8a2aca6dfbb6e867ed707bc
function [B lims map] = real2rgb(A, cmap, lims) %REAL2RGB Converts a real-valued matrix into a truecolor image % % Examples: % B = real2rgb(A, cmap); % B = real2rgb(A, cmap, lims); % [B lims map] = real2rgb(...); % % This function converts a real-valued matrix into a truecolor image (i.e. % double array with values between 0 and 1) using the colormap specified % (either user-defined or the name of a colormap function). The output % image is suitable for display using IMAGE or IMSHOW, exporting using % IMWRITE, texture mapping a surface etc. % % Colormaps specified by name, e.g. 'hot', can be reversed ('-hot'), made % to convert linearly to grayscale when printed on a black & white printer % ('hot*'), or both ('-hot*'). % % Value limits and a colormap table can be output, for use generating the % correct colorbar, e.g.: % [B lims map] = real2rgb(peaks(256), '-hot*'); % hIm = imshow(B); % set(gcf, 'Colormap', map); % set(gca, 'CLim', lims); % set(hIm, 'CDataMapping', 'scaled'); % colorbar; % % IN: % A - MxN real matrix. % cmap - JxK user-defined colormap, or a string indicating the name % of the colormap to be used. K = 3 or 4. If K == 4 then % cmap(1:end-1,4) contains the relative widths of the bins between % colors. If cmap is a colormap function name then the prefix '-' % indicates that the colormap is to be reversed, while the suffix % '*' indicates that the colormap bins are to be rescaled so that % each bin produces the same change in gray level, such that the % colormap converts linearly to grayscale when printed in black % and white. % lims - 1x2 array of saturation limits to be used on A. Default: % [min(A(:)) max(A(:))]. % % OUT: % B - MxNx3 truecolor image. % lims - 1x2 array of saturation limits used on A. Same as input lims, if % given. % map - 256x3 colormap similar to that used to generate B. % Copyright: Oliver Woodford, 2009-2010 % Thank you to Peter Nave for reporting a bug whereby colormaps larger than % 256 entries long are returned. % Don't do much if A is wrong size [y x c] = size(A); if c > 1 error('A can only have 2 dimensions'); end if y*x*c == 0 % Create an empty array with the correct dimensions B = zeros(y, x, (c~=0)*3); return end % Generate the colormap if ischar(cmap) % If map starts with a '-' sign, invert the colormap reverseMap = cmap(1) == '-'; % If the map ends with a '*', attempt to make map convert linearly to % grayscale grayMap = cmap(end) == '*'; % Extract the map name cmap = lower(cmap(reverseMap+1:end-grayMap)); % Load the map try % Check for a concise table first map = feval(cmap, Inf); catch map = []; end if invalid_map(map) try % Just load a large table map = feval(cmap, 256); catch error('Colormap ''%s'' not found', cmap); end if invalid_map(map) error('Invalid colormap'); end end if reverseMap % Reverse the map map = map(end:-1:1,:); if size(map, 2) == 4 % Shift up the bin lengths map(1:end-1,4) = map(2:end,4); end end if grayMap && size(map, 1) > 2 % Ensure the map converts linearly to grayscale map(1:end-1,4) = abs(diff(map(:,1:3) * [0.299; 0.587; 0.114])); end else % Table-based colormap given map = cmap; end % Only work with real doubles B = reshape(double(real(A)), y*x, c); % Compute limits and scaled values maxInd = 1 + (size(map, 1) - 2) * (size(map, 2) ~= 4); if nargin < 3 lims = []; end [B lims] = rescale(B, lims, [0 maxInd]); % Compute indices and offsets if size(map, 2) == 4 % Non-linear colormap bins = map(1:end-1,4); cbins = cumsum(bins); bins(bins==0) = 1; bins = cbins(end) ./ bins; cbins = [0; cbins(1:end-1) ./ cbins(end); 1+eps]; [ind ind] = histc(B, cbins); B = (B - cbins(ind)) .* bins(ind); clear bins cbins else % Linear colormap ind = min(floor(B), maxInd-1); B = B - ind; ind = ind + 1; end % Compute the output image B = B(:,[1 1 1]); B = map(ind,1:3) .* (1 - B) + map(ind+1,1:3) .* B; B = min(max(B, 0), 1); % Rounding errors can make values slip outside bounds B = reshape(B, y, x, 3); if nargout > 2 && (size(map, 1) ~= 256 || size(map, 2) == 4) % Generate the colormap (for creating a colorbar with) map = reshape(real2rgb(0:255, map, [0 255]), 256, 3); end return function notmap = invalid_map(map) notmap = isempty(map) || ndims(map) ~= 2 || size(map, 1) < 1 || size(map, 2) < 3 || size(map, 2) > 4 || ~all(reshape(map(:,1:3) >= 0 & map(:,1:3) <= 1, [], 1));
github
amcorrigan/IA-Lab-master
imsc.m
.m
IA-Lab-master/Utilities/sc/imsc.m
1,299
utf_8
97cd4a988efe36fe0575539142fc605e
%IMSC Wrapper function to SC which replicates display behaviour of IMAGESC % % Examples: % imsc(I, varargin) % imsc(x, y, I, varargin) % h = imsc(...) % % IN: % x - 1x2 vector of x-axis bounds. If x(1) > x(2) the image is flipped % left-right. Default: [1 size(I, 2)]. % y - 1x2 vector of y-axis bounds. If y(1) > y(2) the image is flipped % up-down. Default: [1 size(I, 1)]. % I - MxNxC input image. % varargin - Extra input parameters passed to SC. See SC's help for more % information. % % OUT: % h - Handle of the image graphics object generated. % % See also IMAGESC, SC. % Copyright: Oliver Woodford, 2010 function h = imsc(varargin) % Check for x, y as first two inputs if numel(varargin{1}) == 2 && numel(varargin{2}) == 2 % Render [I clim map] = sc(varargin{3:end}); % Display h = image(varargin{1}, varargin{2}, I); else % Render [I clim map] = sc(varargin{:}); % Display h = image(I); end % Fix up colormap, if there is one if ~isempty(clim) set(h, 'CDataMapping', 'scaled'); ha = get(h, 'Parent'); set(ha, 'CLim', clim); set(get(ha, 'Parent'), 'Colormap', map); end % Don't display the handle if not requested if nargout < 1 clear h end
github
amcorrigan/IA-Lab-master
rescale.m
.m
IA-Lab-master/Utilities/sc/rescale.m
1,613
utf_8
427de5e2419533818c74ea0c8fd7f773
function [B lims] = rescale(A, lims, out_lims) %RESCALE Linearly rescale values in an array % % Examples: % B = rescale(A) % B = rescale(A, lims) % B = rescale(A, lims, out_lims) % [B lims] = rescale(A) % % Linearly rescales values in an array, saturating values outside limits. % % IN: % A - Input array of any size and class. % lims - 1x2 array of saturation limits to be used on A. Default: % [min(A(:)) max(A(:))]. % out_lims - 1x2 array of output limits the values in lims are to be % rescaled to. Default: [0 1]. % % OUT: % B - size(A) double array. % lims - 1x2 array of saturation limits used on A. Equal to the input % lims, if given. % $Id: rescale.m,v 1.2 2009/04/05 15:09:11 ojw Exp $ % Copyright: Oliver Woodford, 2009 if nargin < 3 out_lims = [0 1]; end if nargin < 2 || isempty(lims) M = isfinite(A); if ~any(reshape(M, numel(M), 1)) % All NaNs, Infs or -Infs B = double(A > 0); lims = [0 1]; else lims = [min(A(M)) max(A(M))]; B = normalize(A, lims, out_lims); end clear M else B = normalize(A, lims, out_lims); B = min(max(B, out_lims(1)), out_lims(2)); end return function B = normalize(A, lims, out_lims) if lims(2) == lims(1) || out_lims(1) == out_lims(2) B = zeros(size(A)); else B = double(A); if lims(1) B = B - lims(1); end v = (out_lims(2) - out_lims(1)) / (lims(2) - lims(1)); if v ~= 1 B = B * v; end end if out_lims(1) B = B + out_lims(1); end return
github
amcorrigan/IA-Lab-master
imdisp.m
.m
IA-Lab-master/Utilities/sc/imdisp.m
19,654
utf_8
c97ad19a7be236223dde28b870a9b800
function hIm = imdisp(I, varargin) %IMDISP Display one or more images nicely % % Examples: % imdisp % imdisp(I) % imdisp(I, map) % imdisp(I, lims) % imdisp(I, map, lims) % imdisp(..., param1, value1, param2, value2, ...) % h = imdisp(...) % % This function displays one or more images nicely. Images can be defined % by arrays or filenames. Multiple images can be input in a cell array or % stacked along the fourth dimension, and are displayed as a grid of % subplots (an improvement over MONTAGE). The size of grid is calculated or % user defined. The figure size is set so that images are magnified by an % integer value. % % If the image grid size is user defined, images not fitting in the grid % can be scrolled through using the following key presses: % Up - Back a row. % Down - Forward a row. % Left - Back a page (or column if there is only one row). % Right - Forward a page (or column if there is only one row). % Shift - 2 x speed. % Ctrl - 4 x speed. % Shift + Ctrl - 8 x speed. % % This allows fast scrolling through a movie or image stack, e.g. % imdisp(imstack, 'Size', 1) % The function can be used as a visual DIR, e.g. % imdisp() % to display all images in the current directory on a grid, or % imdisp({}, 'Size', 1) % to scroll through them one at a time. % % IN: % I - MxNxCxP array of images, or 1xP cell array. C is 1 for indexed % images or 3 for RGB images. P is the number of images. If I is a % cell array then each cell must contain an image. Images can equally % be defined by filenames. If I is an empty cell array then all the % images in the current directory are used. Default: {}. % map - Kx3 colormap to be used with indexed images. Default: gray(256). % lims - [LOW HIGH] display range for indexed images. Default: [min(I(:)) % max(I(:))]. % Optional parameters - name, value parameter pairs for the following: % 'Size' - [H W] size of grid to display image on. If only H is given % then W = H. If either H or W is NaN then the number of rows % or columns is chosen such that all images fit. If both H % and W are NaN or the array is empty then the size of grid % is chosen to fit all images in as large as possible. % Default: []. % 'Indices' - 1xL list of indices of images to display. Default: 1:P. % 'Border' - [TB LR] borders to give each image top and bottom (TB) % and left and right (LR), to space out images. Borders are % normalized to the subplot size, i.e. TB = 0.01 gives a % border 1% of the height of each subplot. If only TB is % given, LR = TB. Default: 0.01. % 'DisplayRange' - Same as lims input. % 'Map' - Kx3 colormap or (additionally from above) name of MATLAB % colormap, for use with indexed images. Default: gray(256). % % OUT: % h - HxW array of handles to images. % % See also IMAGE, IMAGESC, IMSHOW, MONTAGE. % Copyright: Oliver Woodford 2010 % Parse inputs [map layout gap indices lims] = parse_inputs(varargin); if nargin == 0 || (iscell(I) && isempty(I)) % Read in all the images in the directory I = get_im_names; if isempty(I) % No images found if nargout > 0 hIm = []; end return end end % Check if input is filenames if ischar(I) [x y c] = size(I); if (x > 1 && y > 1) || c > 1 I = num2cell(I, 2); else I = {I(:)'}; end end % Get limits, etc. if isnumeric(I) || islogical(I) [y x c n] = size(I); if isempty(lims) lims = min_max(I); elseif isequal(0, lims) lims = default_limits(I); elseif c == 3 % Rescale if ~isfloat(I) I = single(I); end I = min(max((I - lims(1)) ./ (lims(2) - lims(1)), 0), 1); end if isfloat(I) && c == 3 && n > 1 I = uint8(I * 256 - 0.5); lims = round(lims * 256 - 0.5); end elseif iscell(I) n = numel(I); A = I{1}; if ischar(A) % Read in the image (or images for multi-frame files) if n == 1 I = imread_rgb_multi(A); if iscell(I) n = numel(I); A = I{1}; [y x c] = size(A); else [y x c n] = size(I); A = I; end else A = imread_rgb(A); I{1} = A; [y x c] = size(A); end else [y x c] = size(A); end % Assume all images are the same size and type as the first if isempty(lims) || isequal(0, lims) lims = default_limits(A); end else error('I not of recognized type.'); end % Select indexed images if ~isequal(indices, -1) if iscell(I) I = I(indices); n = numel(I); else I = I(:,:,:,indices); n = size(I, 4); end end % Get the current figure hFig = get(0, 'CurrentFigure'); if isempty(hFig) % Create a new figure hFig = figure; end if n < 2 % Set the colormap set(hFig, 'Colormap', map); end % Display the image(s) if n == 0 hIm = display_image([], gca, [0 1]); if nargout == 0 clear hIm % Avoid printing this out end return elseif n == 1 % IMSHOW mode % Display the single image hAx = gca; if iscell(I) I = I{1}; end hIm = display_image(I, hAx, lims); if nargout == 0 clear hIm % Avoid printing this out end % Only resize image if it is alone in the figure if numel(findobj(get(hFig, 'Children'), 'Type', 'axes')) > 1 return end % Could still be the first subplot - do another check axesPos = get(hAx, 'Position'); newAxesPos = [gap(1) gap(end) 1-2*gap(1) 1-2*gap(end)]; if isequal(axesPos, get(hFig, 'DefaultAxesPosition')) % Default position => not a subplot % Fill the window set(hAx, 'Units', 'normalized', 'Position', newAxesPos); axesPos = newAxesPos; end if ~isequal(axesPos, newAxesPos) % Figure not alone, so don't resize. return end layout = [1 1]; else % MONTAGE mode % Compute a good layout layout = choose_layout(n, y, x, layout); % Create a data structure to store the data in num = prod(layout); state.num = num * ceil(n / num); hIm = zeros(layout); hAx = zeros(layout); % Clear the figure if n > num hFig = clf(hFig, 'reset'); else hFig = clf(hFig); end % Set the colormap set(hFig, 'Colormap', map); % Set the first lot of images index = mod(0:num-1, state.num) + 1; hw = 1 ./ layout; gap = gap ./ layout; dims = hw - 2 * gap; dims = dims([2 1]); for a = 1:layout(1) for b = 1:layout(2) c = index(b + (layout(1) - a) * layout(2)); if c > n A = []; elseif iscell(I) A = I{c}; if ischar(A) A = imread_rgb(A); I{c} = A; end else A = I(:,:,:,c); end hAx(a,b) = axes('Position', [(b-1)*hw(2)+gap(2) (a-1)*hw(1)+gap(1) dims], 'Units', 'normalized'); hIm(a,b) = display_image(A, hAx(a,b), lims); end end % Check if we need to be able to scroll through images if n > num % Intialize rest of data structure state.hIm = hIm; state.hAx = hAx; state.index = 1; state.layout = layout; state.n = n; state.I = I; % Set the callback for image navigation, and save the image data in the figure set(hFig, 'KeyPressFcn', @keypress_callback, 'Interruptible', 'off', 'BusyAction', 'cancel', 'UserData', state); end % Flip hIm so it matches the layout hIm = hIm(end:-1:1,:); if nargout == 0 clear hIm % Avoid printing this out end end if strcmp(get(hFig, 'WindowStyle'), 'docked') % Figure is docked, so can't resize return end % Set the figure size well % Compute the image size ImSz = layout([2 1]) .* [x y] ./ (1 - 2 * gap([end 1])); % Get the size of the monitor we're on figPosCur = get(hFig, 'Position'); % Monitor sizes MonSz = get(0, 'MonitorPositions'); MonOn = size(MonSz, 1); if MonOn > 1 % Make the origin the top left corner of the primary monitor correction = 0; if ispc for a = 1:MonOn if isequal(MonSz(a,1:2), [1 1]) correction = MonSz(a,4); break end end end % Determine which monitor the centre of the image is on figCenter = figPosCur(1:2) + figPosCur(3:4) / 2; figCenter = MonSz - repmat(figCenter, [MonOn 2]); MonOn = all(sign(figCenter) == repmat([-1 -1 1 1], [MonOn 1]), 2); MonOn(1) = MonOn(1) | ~any(MonOn); MonSz = MonSz(MonOn,:); % Correct the size MonSz(3:4) = MonSz(3:4) - MonSz(1:2) + 1; % Correct the origin if correction MonSz(2) = correction - MonSz(4) - MonSz(2) + 2; end end % Check if the window is maximized % This is a hack which may only work on Windows! No matter, though. if isequal(MonSz([1 3]), figPosCur([1 3])) % Leave maximized return end % Compute the size to set the window MaxSz = MonSz(3:4) - [20 120]; RescaleFactor = min(MaxSz ./ ImSz); if RescaleFactor > 1 % Integer scale for enlarging, but don't make too big MaxSz = min(MaxSz, [1200 800]); RescaleFactor = max(floor(min(MaxSz ./ ImSz)), 1); end figPosNew = ceil(ImSz * RescaleFactor); % Don't move the figure if the size isn't changing if isequal(figPosCur(3:4), figPosNew) return end % Keep the centre of the figure stationary figPosNew = [floor(figPosCur(1:2)+(figPosCur(3:4)-figPosNew)/2) figPosNew]; % Ensure the figure is in bounds figPosNew(1:2) = min(max(figPosNew(1:2), MonSz(1:2)+6), MonSz(1:2)+MonSz(3:4)-[6 101]-figPosNew(3:4)); % Set the figure size and position set(hFig, 'Position', figPosNew); return %% Keypress callback % The function which does all the display stuff function keypress_callback(fig, event_data) % Check what key was pressed and update the image index as necessary switch event_data.Character case 28 % Left up = -1; % Back a page case 29 % Right up = 1; % Forward a page case 30 % Up up = -0.1; % Back a row case 31 % Down up = 0.1; % Forward a row otherwise % Another key was pressed - ignore it return end % Use control and shift for faster scrolling if ~isempty(event_data.Modifier) up = up * (2 ^ (strcmpi(event_data.Modifier, {'shift', 'control'}) * [1; 2])); end % Get the state data state = get(fig, 'UserData'); % Get the current index index = state.index; % Get number of images n = prod(state.layout); % Generate 12 valid indices if abs(up) < 1 % Increment by row index = index + state.layout(2) * (up * 10) - 1; else if state.layout(1) == 1 % Increment by column index = index + up - 1; else % Increment by page index = index + n * up - 1; end end index = mod(index:index+n, state.num) + 1; % Plot the images figure(fig); for a = 1:state.layout(1) for b = 1:state.layout(2) % Get the image c = index(b + (state.layout(1) - a) * state.layout(2)); if c > state.n % Set the image data set(state.hIm(a,b), 'CData', []); elseif iscell(state.I) A = state.I{c}; if ischar(A) % Filename - read the image from disk A = imread_rgb(A); state.I{c} = A; end % Set the image data set(state.hIm(a,b), 'CData', A); % Reset the axes limits if ~isempty(A) set(state.hAx(a,b), 'XLim', [0.5 size(A, 2)+0.5], 'YLim', [0.5 size(A, 1)+0.5]); end else % Set the image data set(state.hIm(a,b), 'CData', state.I(:,:,:,c)); end end end drawnow; % Save the current index state.index = index(1); set(fig, 'UserData', state); return %% Display the image function hIm = display_image(A, hAx, lims) if isempty(A) hIm = image(zeros(1, 1, 3)); set(hIm, 'CData', []); else hIm = image(A); end set(hAx, 'Visible', 'off', 'DataAspectRatio', [1 1 1], 'DrawMode', 'fast', 'CLim', lims); set(get(hAx, 'XLabel'), 'Visible', 'on'); set(get(hAx, 'YLabel'), 'Visible', 'on'); set(get(hAx, 'Title'), 'Visible', 'on'); set(hIm, 'CDataMapping', 'scaled'); return %% Choose a good layout for the images function layout = choose_layout(n, y, x, layout) v = numel(layout); N = isnan(layout); if v == 0 || all(N) % Compute approximate layout sz = get(0, 'ScreenSize'); sz = sz(3:4) ./ [x y]; layout = ceil(sz([2 1]) ./ sqrt(prod(sz) / n)); % Remove superfluous rows or columns while 1 switch ([prod(layout - [1 0]) prod(layout - [0 1])] >= n) * [2; 1] case 0 break; case 1 layout = layout - [0 1]; case 2 layout = layout - [1 0]; case 3 if min(sz .* (layout - [0 1])) > min(sz .* (layout - [1 0])) layout = layout - [0 1]; else layout = layout - [1 0]; end end end elseif v == 1 layout = layout([1 1]); elseif any(N) layout(N) = ceil(n / layout(~N)); end layout = reshape(layout, 1, 2); return %% Read image to uint8 rgb array function A = imread_rgb(name) try [A map alpha] = imread(name); catch % Format not recognized by imread, so create a red cross (along diagonals) A = eye(101) | diag(ones(100, 1), 1) | diag(ones(100, 1), -1); A = (uint8(1) - uint8(A | flipud(A))) * uint8(255); A = cat(3, zeros(size(A), 'uint8')+uint8(255), A, A); return end A = A(:,:,:,1); % Keep only first frame of multi-frame files if ~isempty(map) map = uint8(map * 256 - 0.5); % Convert to uint8 for storage A = reshape(map(uint32(A)+1,:), [size(A) size(map, 2)]); % Assume indexed from 0 elseif size(A, 3) == 4 if lower(name(end)) == 'f' % TIFF in CMYK colourspace - convert to RGB if isfloat(A) A = A * 255; else A = single(A); end A = 255 - A; A(:,:,4) = A(:,:,4) / 255; A = uint8(A(:,:,1:3) .* A(:,:,[4 4 4])); else % Assume 4th channel is an alpha matte alpha = A(:,:,4); A = A(:,:,1:3); end end if ~isempty(alpha) % Apply transprency over a grey checkerboard pattern if isa(alpha, 'uint8') alpha = double(alpha) / 255; end A = double(A) .* alpha(:,:,ones(1, size(A, 3))); sqSz = max(size(alpha)); sqSz = floor(max(log(sqSz / 100), 0) * 10 + 1 + min(sqSz, 100) / 20); grid = repmat(85, ceil(size(alpha) / sqSz)); grid(2:2:end,1:2:end) = 171; grid(1:2:end,2:2:end) = 171; grid = kron(grid, ones(sqSz)); alpha = grid(1:size(A, 1),1:size(A, 2)) .* (1 - alpha); A = uint8(A + alpha(:,:,ones(1, size(A, 3)))); end return %% Read (potentially) multi-frame image to uint8 rgb array function A = imread_rgb_multi(name) try % Get file info info = imfinfo(name); catch % Revert to standard case A = imread_rgb(name); return end if numel(info) < 2 % Single image A = imread_rgb(name); return else % Multi-frame image switch lower(info(1).Format) case 'gif' [A map] = imread(name, 'frames', 'all'); if ~isempty(map) map = uint8(map * 256 - 0.5); % Convert to uint8 for storage A = reshape(map(uint32(A)+1,:), [size(A) size(map, 2)]); % Assume indexed from 0 A = permute(A, [1 2 5 4 3]); end case {'tif', 'tiff'} A = cell(numel(info), 1); for a = 1:numel(A) [A{a} map] = imread(name, 'Index', a, 'Info', info); if ~isempty(map) map = uint8(map * 256 - 0.5); % Convert to uint8 for storage A{a} = reshape(map(uint32(A{a})+1,:), [size(A) size(map, 2)]); % Assume indexed from 0 end if size(A{a}, 3) == 4 % TIFF in CMYK colourspace - convert to RGB if isfloat(A{a}) A{a} = A{a} * 255; else A{a} = single(A{a}); end A{a} = 255 - A{a}; A{a}(:,:,4) = A{a}(:,:,4) / 255; A{a} = uint8(A(:,:,1:3) .* A{a}(:,:,[4 4 4])); end end otherwise % Multi-frame not supported for this format A = imread_rgb(name); return end end return %% Get the names of all images in a directory function L = get_im_names D = dir; n = 0; L = cell(size(D)); % Go through the directory list for a = 1:numel(D) % Check if file is a supported image type if numel(D(a).name) > 4 && ~D(a).isdir && (any(strcmpi(D(a).name(end-3:end), {'.png', '.tif', '.jpg', '.bmp', '.ppm', '.pgm', '.pbm', '.gif', '.ras'})) || any(strcmpi(D(a).name(end-4:end), {'.tiff', '.jpeg'}))) n = n + 1; L{n} = D(a).name; end end L = L(1:n); return %% Parse inputs function [map layout gap indices lims] = parse_inputs(inputs) % Set defaults map = []; layout = []; gap = 0; indices = -1; lims = 0; % Check for map and display range for b = 1:numel(inputs) if ~isnumeric(inputs{b}) b = b - 1; break; end if size(inputs{b}, 2) == 3 map = inputs{b}; elseif numel(inputs{b}) < 3 lims = inputs{b}; end end % Go through option pairs for a = b+1:2:numel(inputs) switch lower(inputs{a}) case 'map' map = inputs{a+1}; if ischar(map) map = feval(map, 256); end case {'size', 'grid'} layout = inputs{a+1}; case {'gap', 'border'} gap = inputs{a+1}; case 'indices' indices = inputs{a+1}; case {'lims', 'displayrange'} lims = inputs{a+1}; otherwise error('Input option %s not recognized', inputs{a}); end end if isempty(map) map = gray(256); end return %% Return default limits for the image type function lims = default_limits(A) if size(A, 3) == 1 lims = min_max(A); else lims = [0 1]; if ~isfloat(A) lims = lims * double(intmax(class(A))); end end return %% Return minimum and maximum values function lims = min_max(A) M = isfinite(A); if all(M(:)) lims = double([min(A(:)) max(A(:))]); else lims = double([min(A(M)) max(A(M))]); end if isempty(lims) lims = [0 1]; elseif lims(1) == lims(2) lims(2) = lims(1) + 1; end return
github
amcorrigan/IA-Lab-master
sc.m
.m
IA-Lab-master/Utilities/sc/sc.m
31,219
utf_8
f247fe4402993a806f759a89a6ddf8a6
function [I limits map] = sc(I, varargin) %SC Display/output truecolor images with a range of colormaps % % Examples: % sc(image) % sc(image, limits) % sc(image, map) % sc(image, limits, map) % sc(image, map, limits) % sc(..., col1, mask1, col2, mask2,...) % out = sc(...) % [out clim map] = sc(...) % sc % % Generates a truecolor RGB image based on the input values in 'image' and % any maximum and minimum limits specified, using the colormap specified. % The image is displayed on screen if there is no output argument. % % SC has these advantages over MATLAB image rendering functions: % - images can be displayed or output; makes combining/overlaying images % simple. % - images are rendered/output in truecolor (RGB [0,1]); no nasty % discretization of the input data. % - many special, built-in colormaps for viewing various types of data. % - linearly interpolates user defined linear and non-linear colormaps. % - no border and automatic, integer magnification (unless figure is % docked or maximized) for better display. % - multiple images can be generated simultaneously. % % For a demonstration, simply call SC without any input arguments. % % If you don't like the display behaviour of SC, e.g. the fixed aspect % ratio, no border and axes, then you can replicate the behaviour of % IMAGESC using the wrapper function IMSC. % % IN: % image - MxNxCxP or 3xMxNxP image array. MxN are the dimensions of the % image(s), C is the number of channels, and P the number of % images. If P > 1, images can only be exported, not displayed. % limits - [min max] where values in image less than min will be set to % min and values greater than max will be set to max. % map - Kx3 or Kx4 user defined colormap matrix, where the optional 4th % column is the relative distance between colours along the scale, % or a string containing the name of the colormap to use to create % the output image. Default: 'none', which is RGB for 3-channel % images, grayscale otherwise. Conversion of multi-channel images % to intensity for intensity-based colormaps is done using the L2 % norm. Most MATLAB colormaps are supported. All named colormaps % can be reversed by prefixing '-' to the string. This maintains % integrity of the colorbar. Special, non-MATLAB colormaps are: % 'hicontrast' - a high contrast colormap for intensity images that % maintains intensity scale when converted to % grayscale, for example when printing in black & % white. % 'prob' - first channel is plotted as hue, and the other channels % modulate intensity. Useful for laying probabilites over % images. % 'prob_jet' - first channel is plotted as jet colormap, and the other % channels modulate intensity. % 'diff' - intensity values are marked blue for > 0 and red for < 0. % Darker colour means larger absolute value. For multi- % channel images, the L2 norm of the other channels sets % green level. 3 channel images are converted to YUV and % images with more that 3 channels are projected onto the % principle components first. % 'compress' - compress many channels to RGB while maximizing % variance. % 'contrast' - apply the CONTRAST function to create an approximately % equal intensity distribution. % 'flow' - display two channels representing a 2d Cartesian vector as % hue for angle and intensity for magnitude (darker colour % indicates a larger magnitude). % 'phase' - first channel is intensity, second channel is phase in % radians. Darker colour means greater intensity, hue % represents phase from 0 to 2 pi. % 'stereo' - pair of concatenated images used to generate a red/cyan % anaglyph. % 'stereo_col' - pair of concatenated RGB images used to generate a % colour anaglyph. % 'segment' - given concatenated image and segmentation (index image), % colour each segment with the mean colour of the image in % that segment. % 'rand' - gives an index image a random colormap. Useful for viewing % segmentations. % 'rgb2gray' - converts an RGB image to grayscale in the same fashion % as MATLAB's rgb2gray (in the image processing toolbox). % col/mask pairs - Pairs of parameters for coloring specific parts of the % image differently. The first (col) parameter can be % a MATLAB color specifier, e.g. 'b' or [0.5 0 1], or % one of the colormaps named above, or an MxNx3 RGB % image. The second (mask) paramater should be an MxN % logical array indicating those pixels (true) whose % color should come from the specified color parameter. % If there is only one col parameter, without a mask % pair, then mask = any(isnan(I, 3)), i.e. the mask is % assumed to indicate the location of NaNs. Note that % col/mask pairs are applied in order, painting over % previous pixel values. % % OUT: % out - MxNx3xP truecolour (double) RGB image array in range [0, 1]. % clim - 1x2 vector of limits of the input array mapped to linearly % [0, 1] in out. [] if this mapping is not available, e.g. if % output image is multi-spectral. % map - 256x3 colormap of the output. [] is limits is []. % % See also IMAGE, IMAGESC, IMSC, COLORMAP, COLORBAR. % Copyright: Oliver Woodford, 2007-2010 %% Check for arguments if nargin == 0 % If there are no input arguments then run the demo if nargout > 0 error('Output expected from no inputs!'); end demo; % Run the demo return end %% Size our image(s) [y x c n] = size(I); I = reshape(I, y, x, c, n); %% Check if image is given with RGB colour along the first dimension if y == 3 && c > 3 % Flip colour to 3rd dimension I = permute(I, [2 3 1 4]); [y x c n] = size(I); end %% Don't do much if I is empty if isempty(I) if nargout == 0 % Clear the current axes if we were supposed to display the image cla; axis off; else % Create an empty array with the correct dimensions I = zeros(y, x, (c~=0)*3, n); end return end %% Check for multiple images % If we have a non-singleton 4th dimension we want to display the images in % a 3x4 grid and use buttons to cycle through them if n > 1 % Return transformed images in an YxXx3xN array A = zeros(y, x, 3, n); for a = 1:n A(:,:,:,a) = sc(I(:,:,:,a), varargin{:}); end I = A; if nargout == 0 clear I if n > 12 sz = [3 4]; else sz = []; end imdisp(A, 'Size', sz, 'Border', 0.01); end return end %% Parse the input arguments coming after I (1st input) [map limits mask] = parse_inputs(I, varargin, y, x); %% Call the rendering function if isnumeric(map) && (size(map, 2) == 3 || size(map, 2) == 4) % Table-based colormap [I limits map] = table_wrapper(I, map, limits); elseif ischar(map) % Predefined colormap [I limits map] = colormap_switch(I, map, limits); else error('map input invalid.'); end %% Update any masked pixels I = reshape(I, y*x, 3); for a = 1:size(mask, 2) I(mask{2,a},1) = mask{1,a}(:,1); I(mask{2,a},2) = mask{1,a}(:,2); I(mask{2,a},3) = mask{1,a}(:,3); end I = reshape(I, [y x 3]); % Reshape to correct size %% Only display if the output isn't used if nargout == 0 % Display the image hIm = imdisp(I, 'Border', 0); % Set the colormap (if valid) if ~isempty(limits) set(gcf, 'Colormap', map); set(gca, 'CLim', limits); set(hIm, 'CDataMapping', 'scaled'); end % Don't print out the matrix if we've forgotten the ";" clear I end return %% Colormap switch function [I limits map] = colormap_switch(A, cmap, limits) % Reshape [y x c] = size(A); I = full(real(double(reshape(A, y*x, 1, c)))); % If map starts with a '-' sign, invert the colormap reverseMap = cmap(1) == '-'; % If the map ends with a '*', attempt to make map convert linearly to % grayscale grayMap = cmap(end) == '*'; % Large switch statement for all the colormaps switch lower(cmap(1+reverseMap:end-grayMap)) %% Prism case 'prism' % Similar to the MATLAB internal prism colormap, but only works on % index images, assigning each index (or rounded float) to a % different colour [I limits] = index_im(I); % Generate prism colormap map = prism(6); if reverseMap map = map(end:-1:1,:); % Reverse the map end % Lookup the colours I = mod(I, 6) + 1; I = map(I,:); %% Rand case 'rand' % Assigns a random colour to each index [I limits num_vals] = index_im(I); % Generate random colormap map = rand(num_vals, 3); % Lookup the colours I = map(I,:); %% Diff case 'diff' % Show positive as blue and negative as red, white is 0 switch c case 1 I(:,2:3) = 0; case 2 % Second channel can only have absolute value I(:,3) = abs(I(:,2)); case 3 % Diff of RGB images - convert to YUV first I = rgb2yuv(I); I(:,3) = sqrt(sum(I(:,2:end) .^ 2, 2)) ./ sqrt(2); otherwise % Use difference along principle component, and other % channels to modulate second channel I = calc_prin_comps(I); I(:,3) = sqrt(sum(I(:,2:end) .^ 2, 2)) ./ sqrt(c - 1); I(:,4:end) = []; end % Generate limits if isempty(limits) limits = [min(I(:,1)) max(I(:,1))]; end limits = max(abs(limits)); if limits % Scale if c > 1 I(:,[1 3]) = I(:,[1 3]) / limits; else I = I / (limits * 0.5); end else limits = 1; end % Colour M = I(:,1) > 0; I(:,2) = -I(:,1) .* ~M; I(:,1) = I(:,1) .* M; if reverseMap % Swap first two channels I = I(:,[2 1 3]); end %I = 1 - I * [1 0.4 1; 0.4 1 1; 1 1 0.4]; % (Green/Red) I = 1 - I * [1 1 0.4; 0.4 1 1; 1 0.4 1]; % (Blue/Red) I = min(max(I, 0), 1); limits = [-limits limits]; % For colorbar %% Flow case 'flow' % Calculate amplitude and phase, and use 'phase' if c ~= 2 error('''flow'' requires two channels'); end A = sqrt(sum(I .^ 2, 3)); if isempty(limits) limits = [min(A) max(A)*2]; else limits = [0 max(abs(limits)*sqrt(2))*2]; end I(:,1) = atan2(I(:,2), I(:,1)); I(:,2) = A; if reverseMap % Invert the amplitude I(:,2) = -I(:,2); limits = -limits([2 1]); end I = phase_helper(I, limits, 2); % Last parameter tunes how saturated colors can get % Set NaNs (unknown flow) to 0 I(isnan(I)) = reverseMap; limits = []; % This colormap doesn't have a valid colorbar %% Phase case 'phase' % Plot amplitude as intensity and angle as hue if c < 2 error('''phase'' requires two channels'); end if isempty(limits) limits = [min(I(:,1)) max(I(:,1))]; end if reverseMap % Invert the phase I(:,2) = -I(:,2); end I = I(:,[2 1]); if diff(limits) I = phase_helper(I, limits, 1.3); % Last parameter tunes how saturated colors can get else % No intensity - just cycle hsv I = real2rgb(mod(I(:,1) / (2 * pi), 1), 'hsv'); end limits = []; % This colormap doesn't have a valid colorbar %% RGB2Gray case {'rgb2gray', 'rgb2grey'} % Compress RGB to greyscale [I limits] = rgb2gray(I, limits, reverseMap); %% RGB2YUV case 'rgb2yuv' % Convert RGB to YUV - not for displaying or saving to disk! [I limits] = rgb2yuv(I); %% YUV2RGB case 'yuv2rgb' % Convert YUV to RGB - undo conversion of rgb2yuv if c ~= 3 error('''yuv2rgb'' requires a 3 channel image'); end I = I(:,:) * [1 1 1; 0, -0.39465, 2.03211; 1.13983, -0.58060 0]; I = rescale(I, limits); limits = []; % This colormap doesn't have a valid colorbar %% Prob case 'prob' % Plot first channel as grey variation of 'bled' and modulate % according to other channels if c > 1 A = rgb2gray(I(:,:,2:end), [], false); I = I(:,:,1); else A = 0.5; end cmap2 = cmap; cmap2((1:4)+reverseMap) = 'bled'; [I limits] = real2rgb(I, cmap2, limits); I = rescale(A + I, [-0.1 1.3]); %% Prob_jet case 'prob_jet' % Plot first channel as 'jet' and modulate according to other % channels if c > 1 A = rgb2gray(I(:,:,2:end), [], false); I = I(:,:,1); else A = 0.5; end cmap2 = cmap; cmap2(reverseMap+(1:5)) = []; [I limits] = real2rgb(I, cmap2, limits); I = rescale(A + I, [0.2 1.8]); %% Compress case 'compress' % Compress to RGB, maximizing variance % Determine and scale to limits I = rescale(I, limits); if reverseMap % Invert after everything I = 1 - I; end % Zero mean meanCol = mean(I, 1); isBsx = exist('bsxfun', 'builtin'); if isBsx I = bsxfun(@minus, I, meanCol); else I = I - meanCol(ones(x*y, 1, 'uint8'),:); end % Calculate top 3 principle components I = calc_prin_comps(I, 3); % Normalize each channel independently if isBsx I = bsxfun(@minus, I, min(I, [], 1)); I = bsxfun(@times, I, 1./max(I, [], 1)); else for a = 1:3 I(:,a) = I(:,a) - min(I(:,a)); I(:,a) = I(:,a) / max(I(:,a)); end end % Put components in order of human eyes' response to channels I = I(:,[2 1 3]); limits = []; % This colormap doesn't have a valid colorbar %% Contrast case 'contrast' % Use MATLAB's CONTRAST function to spread the gray levels evenly [I limits] = intensity(I, limits, 0); map = contrast(I, 256); if reverseMap map = map(end:-1:1,:); end I = real2rgb(I, map, [0 1]); %% Stereo (anaglyph) case 'stereo' % Convert 2 colour images to intensity images % Show first channel as red and second channel as cyan A = rgb2gray(I(:,1:floor(end/2)), limits, false); I = rgb2gray(I(:,floor(end/2)+1:end), limits, false); if reverseMap I(:,2:3) = A(:,1:2); % Make first image cyan else I(:,1) = A(:,1); % Make first image red end limits = []; % This colormap doesn't have a valid colorbar %% Coloured anaglyph case 'stereo_col' if c ~= 6 error('''stereo_col'' requires a 6 channel image'); end I = rescale(I, limits); % Red channel from one image, green and blue from the other if reverseMap I(:,1) = I(:,4); % Make second image red else I(:,2:3) = I(:,5:6); % Make first image red end I = I(:,1:3); limits = []; % This colormap doesn't have a valid colorbar %% Coloured segments case 'segment' % Last channel assumed to be an index image. Output each segment as % a mean of the other channels in the segment. if c < 2 error('''segment'' requires at least 2 channels'); end [S num_vals num_vals] = index_im(I(:,end)); % Generate the means R = 1 ./ (accumarray(S, 1, [num_vals 1]) + 1e-300); for a = c-1:-1:1 J(:,1,a) = accumarray(S, I(:,a), [num_vals 1]) .* R; end if c == 4 J = rescale(J, limits); limits = []; else [J limits map] = table_wrapper(J, 'gray', limits); end % Generate the image I = J(S,:); %% None case 'none' % No colormap - just output the image if c == 3 I = rescale(I, limits); limits = []; if reverseMap I = 1 - I; end else cmap((1:4)+reverseMap) = 'gray'; [I limits map] = table_wrapper(I, cmap, limits); end %% Grey case 'grey' cmap(3+reverseMap) = 'a'; [I limits map] = table_wrapper(I, cmap, limits); %% Colourcube case {'colorcube2', 'colourcube2'} % Psychedelic colormap inspired by MATLAB's version [I limits] = intensity(I, limits, reverseMap); % Intensity map step = 4; I = I * (step * (1 - eps)); J = I * step; K = floor(J); I = cat(3, mod(K, step)/(step-1), J - floor(K), mod(floor(I), step)/(step-1)); %% Functional colormap otherwise [I limits map] = table_wrapper(I, cmap, limits); end I = reshape(I, y, x, 3); % Fix up the colormap if nargout > 2 if isempty(limits) map = []; elseif ~exist('map', 'var') map = (0:255) * ((limits(2) - limits(1)) / 255) + limits(1); map = squeeze(colormap_switch(map, cmap, limits)); end end return %% Parse input variables function [map limits mask] = parse_inputs(I, inputs, y, x) % Check the first two arguments for the colormap and limits ninputs = numel(inputs); map = 'none'; limits = []; mask = 1; for a = 1:min(2, ninputs) if ischar(inputs{a}) && numel(inputs{a}) > 1 % Name of colormap map = inputs{a}; elseif isnumeric(inputs{a}) [p q r] = size(inputs{a}); if (p * q * r) == 2 % Limits limits = double(inputs{a}); elseif p > 1 && (q == 3 || q == 4) && r == 1 % Table-based colormap map = inputs{a}; else break; end else break; end mask = mask + 1; end % Check for following inputs if mask > ninputs mask = cell(2, 0); return end % Following inputs must either be colour/mask pairs, or a colour for NaNs if ninputs - mask == 0 mask = cell(2, 1); mask{1} = inputs{end}; mask{2} = ~all(isfinite(I), 3); elseif mod(ninputs-mask, 2) == 1 mask = reshape(inputs(mask:end), 2, []); else error('Error parsing inputs'); end % Go through pairs and generate for a = 1:size(mask, 2) % Generate any masks from functions if isa(mask{2,a}, 'function_handle') mask{2,a} = mask{2,a}(I); end if ~islogical(mask{2,a}) error('Mask is not a logical array'); end if ~isequal(size(mask{2,a}), [y x]) error('Mask does not match image size'); end if ischar(mask{1,a}) if numel(mask{1,a}) == 1 % Generate colours from MATLAB colour strings mask{1,a} = rem(floor((strfind('kbgcrmyw', mask{1,a}) - 1) * [0.25 0.5 1]), 2); else % Assume it's a colormap name mask{1,a} = sc(I, mask{1,a}); end end mask{1,a} = reshape(mask{1,a}, [], 3); if size(mask{1,a}, 1) ~= y*x && size(mask{1,a}, 1) ~= 1 error('Replacement color/image of unexpected dimensions'); end if size(mask{1,a}, 1) ~= 1 mask{1,a} = mask{1,a}(mask{2,a},:); end end return %% RGB2gray function [B limits] = rgb2gray(A, limits, reverseMap) % Compress RGB to grayscale c = size(A, 3); B = A; if c == 3 B = reshape(reshape(B, [], 3) * [0.299; 0.587; 0.114], size(B, 1), size(B, 2)); end [B limits] = intensity(B, limits, reverseMap); % Replicate channels B = B(:,:,[1 1 1]); return %% RGB2YUV function [B limits] = rgb2yuv(A) % Convert RGB to YUV - not for displaying or saving to disk! c = size(A, 3); if c ~= 3 error('rgb2yuv requires a 3 channel image'); end B = reshape(A, [], c) * [0.299, -0.14713, 0.615; 0.587, -0.28886, -0.51498; 0.114, 0.436, -0.10001]; limits = []; % This colormap doesn't have a valid colorbar return %% Phase helper function I = phase_helper(I, limits, n) I = squeeze(I); I(:,1) = mod(I(:,1)/(2*pi), 1); I(:,2) = I(:,2) - limits(1); I(:,2) = I(:,2) * (n / (limits(2) - limits(1))); I(:,3) = n - I(:,2); I(:,[2 3]) = min(max(I(:,[2 3]), 0), 1); I = hsv2rgb(reshape(I, [], 1, 3)); return %% Real2rgb wrapper function [B limits map] = table_wrapper(A, cmap, limits) % Convert to intensity [B limits] = intensity(A, limits, 0); % Convert to colour using the specified colormap [B map map] = real2rgb(B, cmap, [0 1]); return %% Intensity maps function [I limits] = intensity(I, limits, reverseMap) % Squash to 1d using L2 norm if size(I, 3) > 1 I = sqrt(sum(I .^ 2, 3)); end % Determine and scale to limits [I limits] = rescale(I, limits); if limits(1) == limits(2) limits(2) = limits(1) + 1; end if reverseMap % Invert after everything I = 1 - I; end return %% Index images function [J limits num_vals] = index_im(I) % Returns an index image if size(I, 2) ~= 1 error('Index maps only work on single channel images'); end J = round(I); rescaled = any(abs(I - J) > 0.01); if rescaled % Appears not to be an index image. Rescale over 256 indices m = min(I); m = m * (1 - sign(m) * eps); I = I - m; I = I * (256 / max(I(:))); J = ceil(I); num_vals = 256; elseif nargout > 2 % Output the number of values J = J - (min(J) - 1); num_vals = max(J); end % These colormaps don't have valid colorbars limits = []; return %% Calculate principle components function I = calc_prin_comps(I, numComps) c = size(I, 3); I = reshape(I, [], c); if nargin < 2 numComps = c; end % Do SVD [I S] = svd(I, 0); % Calculate projection of data onto components S = diag(S); S = S(1:numComps)'; if exist('bsxfun', 'builtin') I = bsxfun(@times, I(:,1:numComps), S); else I = I(:,1:numComps) .* S(ones(size(I, 1), 1, 'uint8'),:); end return %% Demo function to show capabilities of sc function demo %% Demo gray & lack of border figure; fig = gcf; Z = peaks(256); sc(Z); display_text([... ' Lets take a standard, MATLAB, real-valued function:\n\n peaks(256)\n\n'... ' Calling:\n\n figure\n Z = peaks(256);\n sc(Z)\n\n'... ' gives (see figure). SC automatically scales intensity to fill the\n'... ' truecolor range of [0 1].\n\n'... ' If your figure isn''t docked, then the image will have no border, and\n'... ' will be magnified by an integer factor (in this case, 2) so that the\n'... ' image is a reasonable size.']); %% Demo colour image display figure(fig); clf; load mandrill; mandrill = ind2rgb(X, map); sc(mandrill); display_text([... ' That wasn''t so interesting. The default colormap is ''none'', which\n'... ' produces RGB images given a 3-channel input image, otherwise it produces\n'... ' a grayscale image. So calling:\n\n load mandrill\n'... ' mandrill = ind2rgb(X, map);\n sc(mandrill)\n\n gives (see figure).']); %% Demo discretization figure(fig); clf; subplot(121); sc(Z, 'jet'); label(Z, 'sc(Z, ''jet'')'); subplot(122); imagesc(Z); axis image off; colormap(jet(64)); % Fix the fact we change the default depth label(Z, 'imagesc(Z); axis image off; colormap(''jet'');'); display_text([... ' However, if we want to display intensity images in color we can use any\n'... ' of the MATLAB colormaps implemented (most of them) to give truecolor\n'... ' images. For example, to use ''jet'' simply call:\n\n'... ' sc(Z, ''jet'')\n\n'... ' The MATLAB alternative, shown on the right, is:\n\n'... ' imagesc(Z)\n axis equal off\n colormap(jet)\n\n'... ' which generates noticeable discretization artifacts.']); %% Demo intensity colormaps figure(fig); clf; subplot(221); sc(Z, 'hsv'); label(Z, 'sc(Z, ''hsv'')'); subplot(222); sc(Z, 'colorcube'); label(Z, 'sc(Z, ''colorcube'')'); subplot(223); sc(Z, 'hicontrast'); label(Z, 'sc(Z, ''hicontrast'')'); subplot(224); sc(Z-round(Z), 'diff'); label(Z, 'sc(Z-round(Z), ''diff'')'); display_text([... ' There are several other intensity colormaps to choose from. Calling:\n\n'... ' help sc\n\n'... ' will give you a list of them. Here are several others demonstrated.']); %% Demo saturation limits & colormap reversal figure(fig); clf; subplot(121); sc(Z, [0 max(Z(:))], '-hot'); label(Z, 'sc(Z, [0 max(Z(:))], ''-hot'')'); subplot(122); sc(mandrill, [-0.5 0.5]); label(mandrill, 'sc(mandrill, [-0.5 0.5])'); display_text([... ' SC can also rescale intensity, given an upper and lower bound provided\n'... ' by the user, and invert most colormaps simply by prefixing a ''-'' to the\n'... ' colormap name. For example:\n\n'... ' sc(Z, [0 max(Z(:))], ''-hot'');\n'... ' sc(mandrill, [-0.5 0.5]);\n\n'... ' Note that the order of the colormap and limit arguments are\n'... ' interchangable.']); %% Demo prob load gatlin; gatlin = X; figure(fig); clf; im = cat(3, abs(Z)', gatlin(1:256,end-255:end)); sc(im, 'prob'); label(im, 'sc(cat(3, prob, gatlin), ''prob'')'); display_text([... ' SC outputs the recolored data as a truecolor RGB image. This makes it\n'... ' easy to combine colormaps, either arithmetically, or by masking regions.\n'... ' For example, we could combine an image and a probability map\n'... ' arithmetically as follows:\n\n'... ' load gatlin\n'... ' gatlin = X(1:256,end-255:end);\n'... ' prob = abs(Z)'';\n'... ' im = sc(prob, ''hsv'') .* sc(prob, ''gray'') + sc(gatlin, ''rgb2gray'');\n'... ' sc(im, [-0.1 1.3]);\n\n'... ' In fact, that particular colormap has already been implemented in SC.\n'... ' Simply call:\n\n'... ' sc(cat(3, prob, gatlin), ''prob'');']); %% Demo colorbar colorbar; display_text([... ' SC also makes possible the generation of a colorbar in the normal way, \n'... ' with all the colours and data values correct. Simply call:\n\n'... ' colorbar\n\n'... ' The colorbar doesn''t work with all colormaps, but when it does,\n'... ' inverting the colormap (using ''-map'') maintains the integrity of the\n'... ' colorbar (i.e. it works correctly) - unlike if you invert the input data.']); %% Demo combine by masking figure(fig); clf; sc(Z, [0 max(Z(:))], '-hot', sc(Z-round(Z), 'diff'), Z < 0); display_text([... ' It''s just as easy to combine generated images by masking too. Here''s an\n'... ' example:\n\n'... ' im = cat(4, sc(Z, [0 max(Z(:))], ''-hot''), sc(Z-round(Z), ''diff''));\n'... ' mask = repmat(Z < 0, [1 1 3]);\n'... ' mask = cat(4, mask, ~mask);\n'... ' im = sum(im .* mask, 4);\n'... ' sc(im)\n\n'... ' In fact, SC can also do this for you, by adding image/colormap and mask\n'... ' pairs to the end of the argument list, as follows:\n\n'... ' sc(Z, [0 max(Z(:))], ''-hot'', sc(Z-round(Z), ''diff''), Z < 0);\n\n'... ' A benefit of the latter approach is that you can still display a\n'... ' colorbar for the first colormap.']); %% Demo user defined colormap figure(fig); clf; sc(abs(Z), rand(10, 3)); colorbar; display_text([... ' SC can also use user defined colormaps to display indexed images.\n'... ' These can be defined as a linear colormap. For example:\n\n'... ' sc(abs(Z), rand(10, 3))\n colorbar;\n\n'... ' Note that the colormap is automatically linearly interpolated.']); %% Demo non-linear user defined colormap figure(fig); clf; sc(abs(Z), [rand(10, 3) exp((1:10)/2)']); colorbar; display_text([... ' Non-linear colormaps can also be defined by the user, by including the\n'... ' relative distance between the given colormap points on the colormap\n'... ' scale in the fourth column of the colormap matrix. For example:\n\n'... ' sc(abs(Z), [rand(10, 3) exp((1:10)/2)''])\n colorbar;\n\n'... ' Note that the colormap is still linearly interpolated between points.']); %% Demo compress load mri; mri = D; figure(fig); clf; sc(squeeze(mri(:,:,:,1:6)), 'compress'); display_text([... ' SC has many colormaps for displaying multi-dimensional data, including\n'... ' ''flow'' for optic flow fields, ''phase'' for edge maps with phase, and\n'... ' ''stereo'' for generating anaglyphs.\n\n'... ' For images with more than 3 channels, SC can compress these images to RGB\n'... ' while maintaining the maximum amount of variance in the data. For\n'... ' example, this 6 channel image:\n\n'... ' load mri\n mri = D;\n sc(squeeze(mri(:,:,:,1:6), ''compress'')']); %% Demo texture map figure(fig); clf; surf(Z, sc(Z, 'hicontrast'), 'edgecolor', 'none'); display_text([... ' Further benefits of SC outputting the image as an array (on top of being\n'... ' able to combine images) are that the image can be saved straight to disk\n'... ' using imwrite(), or can be used to texture map a surface, thus:\n\n'... ' tex = sc(Z, ''hicontrast'');\n'... ' surf(Z, tex, ''edgecolor'', ''none'');']); %% Demo multiple images close(fig); % Only way to get round loss of focus (bug?) figure(fig); clf; sc(mri, 'bone'); display_text([... ' Finally, SC can process multiple images when passed in as a 4d array,\n'... ' either for export or for display. In the latter case, images are\n'... ' displayed as a montage of up to 12 images. For example:\n\n'... ' sc(mri, ''bone'')']); display_text([... ' Any additional images can then be viewed by scrolling through them using\n'... ' using the scroll (arrow) keys. Try it and see.']); clc; fprintf('End of demo.\n'); return %% Some helper functions for the demo function display_text(str) clc; fprintf([str '\n\n']); fprintf('Press a key to go on.\n'); figure(gcf); waitforbuttonpress; return function label(im, str) text(size(im, 2)/2, size(im, 1)+12, str,... 'Interpreter', 'none', 'HorizontalAlignment', 'center', 'VerticalAlignment', 'middle'); return
github
amcorrigan/IA-Lab-master
rescale.m
.m
IA-Lab-master/Utilities/sc/private/rescale.m
1,613
utf_8
427de5e2419533818c74ea0c8fd7f773
function [B lims] = rescale(A, lims, out_lims) %RESCALE Linearly rescale values in an array % % Examples: % B = rescale(A) % B = rescale(A, lims) % B = rescale(A, lims, out_lims) % [B lims] = rescale(A) % % Linearly rescales values in an array, saturating values outside limits. % % IN: % A - Input array of any size and class. % lims - 1x2 array of saturation limits to be used on A. Default: % [min(A(:)) max(A(:))]. % out_lims - 1x2 array of output limits the values in lims are to be % rescaled to. Default: [0 1]. % % OUT: % B - size(A) double array. % lims - 1x2 array of saturation limits used on A. Equal to the input % lims, if given. % $Id: rescale.m,v 1.2 2009/04/05 15:09:11 ojw Exp $ % Copyright: Oliver Woodford, 2009 if nargin < 3 out_lims = [0 1]; end if nargin < 2 || isempty(lims) M = isfinite(A); if ~any(reshape(M, numel(M), 1)) % All NaNs, Infs or -Infs B = double(A > 0); lims = [0 1]; else lims = [min(A(M)) max(A(M))]; B = normalize(A, lims, out_lims); end clear M else B = normalize(A, lims, out_lims); B = min(max(B, out_lims(1)), out_lims(2)); end return function B = normalize(A, lims, out_lims) if lims(2) == lims(1) || out_lims(1) == out_lims(2) B = zeros(size(A)); else B = double(A); if lims(1) B = B - lims(1); end v = (out_lims(2) - out_lims(1)) / (lims(2) - lims(1)); if v ~= 1 B = B * v; end end if out_lims(1) B = B + out_lims(1); end return
github
amcorrigan/IA-Lab-master
sfm_local_chanvese.m
.m
IA-Lab-master/ThirdParty/lanktonchanvese/sfm_local_chanvese.m
2,172
utf_8
3a6307d657f860fcd0f80de155397eb3
% [seg Lz] = sfm_local_chanvese(img,mask,iterations,lambda,rad,display) % % img - any image (2D or 3D). color images will be % converted to grayscale. % % mask - binary image representing initialization. % (1's foreground, 0's background) % % iterations - number of iterations to run % % lambda - relative weighting of curve smoothness % (lambda will ususally be between [0,1]) % % rad - the radius of the ball used for localization % % display - whether or not to display intermediate results % % seg - binary map of resulting segmentation % (1's foreground, 0's background) % % Lz - A list of the indexes of points on the zero level set. % % -------------------------------------- % written by Shawn Lankton (4/17/2009) - www.shawnlankton.com % function [seg Lz] = sfm_local_chanvese(img,mask,iterations,lam,rad,display) % ensure mex is compiled if(isempty(which('sfm_local_chanvese_mex'))) compile_sfm_local_chanvese end % check for color image and convert to grayscale if(numel(size(img))==3) %if image is 3D if(size(img,3)==3) %z dim is 3... probably color img = rgb2gray(img);%rescale to grayscale end end % mex is expecting img to be a double img = double(img); mask = double(mask); if(any(size(img)~=size(mask))) error('img and mask must be the same size'); end % default value of iterations is 100 if(~exist('iterations','var')) iterations = 100; end iterations = double(iterations); % default value of lambda is 0.1 if(~exist('lam','var')) lam = 0.1; end lam = double(lam); % default value of rad is 10 if(~exist('rad','var')) rad = 10; end rad = double(rad); % default value of display is 1 if(~exist('display','var')) display = 1; end display = double(display); if(display) clf; imagesc(img); end % perform segmentation [phi c] = sfm_local_chanvese_mex(img,mask,iterations,display,lam,rad); % get labelmap from signed distance function seg = phi<=0; Lz = uint32(c)+1;
github
amcorrigan/IA-Lab-master
fat_contour.m
.m
IA-Lab-master/ThirdParty/lanktonchanvese/fat_contour.m
571
utf_8
d41a83dbdb50798bcf825109fc225bb8
% FAT_CONTOUR draw a easily visible contour function [h1 h2] = fat_contour(phi,dashed,c1) %Coded by: Shawn Lankton %Function: Display a contour c2 = 'k'; if(~exist('c1','var')) c1 = 'r'; end if(~exist('dashed','var')) dashed = false; end t1 = 4; t2 = 2; hold on; if(dashed) h1 = contour(phi,[0 0],c1,'linewidth',t1,'linestyle','--'); h2 = contour(phi,[0 0],c2,'linewidth',t2,'linestyle','--'); else h1 = contour(phi,[0 0],c1,'linewidth',t1); h2 = contour(phi,[0 0],c2,'linewidth',t2); end hold off; end
github
amcorrigan/IA-Lab-master
AboutWound.m
.m
IA-Lab-master/Examples/Pellet/AboutWound.m
3,125
utf_8
e11339d283a2565d848bcb30104c1aa5
function varargout = AboutWound(varargin) % ABOUTWOUND MATLAB code for AboutWound.fig % ABOUTWOUND, by itself, creates a new ABOUTWOUND or raises the existing % singleton*. % % H = ABOUTWOUND returns the handle to a new ABOUTWOUND or the handle to % the existing singleton*. % % ABOUTWOUND('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in ABOUTWOUND.M with the given input arguments. % % ABOUTWOUND('Property','Value',...) creates a new ABOUTWOUND or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before AboutWound_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to AboutWound_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help AboutWound % Last Modified by GUIDE v2.5 12-Dec-2016 10:16:07 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @AboutWound_OpeningFcn, ... 'gui_OutputFcn', @AboutWound_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT end % --- Executes just before AboutWound is made visible. function AboutWound_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to AboutWound (see VARARGIN) anImage = imread('pellet.png'); imshow(anImage, [], 'Parent', handles.axes1, 'InitialMagnification', 'fit'); set(handles.axes1,'xcolor','w','ycolor','w','xtick',[],'ytick',[]); set(handles.figure1,'Name','About Pellet Explorer') % Update handles structure guidata(hObject, handles); % UIWAIT makes YEAbout wait for user response (see UIRESUME) % uiwait(handles.figure1); end % --- Outputs from this function are returned to the command line. function varargout = AboutWound_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout = cell(nargout,1); end
github
amcorrigan/IA-Lab-master
amcFillNaNs.m
.m
IA-Lab-master/Examples/Spheroid3D/utilities/amcFillNaNs.m
1,083
utf_8
58043bf2cbc8e1f285c575e09666201e
function outim = amcFillNaNs(im,blurScale,maxIts,initScale,epsilon) % fill in NaNs by iteratively blurring from the edges if nargin<2 || isempty(blurScale) blurScale = max(1,0.01*min(size(im,1),size(im,2))); end if nargin<3 || isempty(maxIts) maxIts = 40; end if nargin<4 || isempty(initScale) initScale = 5*blurScale; end if nargin<5 || isempty(epsilon) epsilon = 2e-2; end nanreg = isnan(im); fim = gaussBlurNaNs(im,initScale,nanreg); while nnz(isnan(fim))>0 fim = gaussBlurNaNs(fim,initScale); end outim = im; outim(nanreg) = fim(nanreg); for ii = 1:maxIts fim = gaussFiltND(outim,blurScale*[1,1]); if max(abs(fim(nanreg)-outim(nanreg))./outim(nanreg))<epsilon outim(nanreg) = fim(nanreg); break; else outim(nanreg) = fim(nanreg); end end end function fim = gaussBlurNaNs(im,lscale,bw) if nargin<3 || isempty(bw) bw = isnan(im); end im(bw) = 0; num = gaussFiltND(im,lscale*[1,1],0); denom = gaussFiltND(~bw,lscale*[1,1],0); fim = num./denom; end
github
amcorrigan/IA-Lab-master
bwdistsc.m
.m
IA-Lab-master/Examples/Spheroid3D/utilities/bwdistsc.m
18,385
utf_8
a8192c2781c7f03ef9cf7e9f0b91c769
function D=bwdistsc(bw,aspect) % D=BWDISTSC(BW,ASPECT) % BWDISTSC computes Euclidean distance transform of the binary 3D image % BW. For each pixel in BW, the distance transform assignes a number % that is the distance between that pixel and the nearest nonzero pixel % of BW. BW may be a single 2D image, 3D array or a cell array of % 2D slices. ASPECT is 3-component vector defining aspect ratio in % the dataset BW. If ASPECT is not specified, isotropic aspect % ratio [1 1 1] is assumed. % % BWDISTSC uses fast optimized scanning algorithm and cell-arrays to % represent internal data, so that it is less demanding to physical % memory. In many cases BWDISTSC is actually faster than MATLAB's % optimized kd-tree algorithm used for Euclidean distance % transform in 3D. % % BWDISTSC tries to use MATLAB bwdist for 2D scans if possible, which % is significantly faster. Otherwise BWDISTSC uses internal algorithm % to perform 2D scans. % % Yuriy Mishchenko JFRC HHMI Chklovskii Lab JUL 2007 % This code is free for use or modifications, just please give credit % where appropriate. And if you modify code or fix bugs, please drop % me a message at [email protected]. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Scan algorithms below use following Lema: % % LEMA: let F(X,z) be lower envelope of a family of parabola: % % F(X,z)=min_{i} [G_i(X)+(z-k_i)^2]; % % and let H_k(X,z)=A(X)+(z-k)^2 be a parabola. % % Then for H_k(X,z)==F(X,z) at each X there exist at most % % two solutions k1<k2 such that H_k12(X,z)=F(X,z), and % % H_k(X,z)<F(X,z) is restricted to at most k1<k2. % % Here X is any-dimensional coordinate. % % % % Thus, simply scan away from any z such that H_k(X,z)<F(X,z) % % in either direction as long as H_k(X,z)<F(X,z) and update % % F(X,z). Note that need to properly choose starting point; % % starting point is any z such that H_k(X,z)<F(X,z); z==k is % % usually, but not always the starting point!!! % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % parse inputs if(nargin<2 || isempty(aspect)) aspect=[1 1 1]; end % determine geometry of data if(iscell(bw)) shape=[size(bw{1}),length(bw)]; else shape=size(bw); end % fix to handle 1D & 2D images if(length(shape)<3) shape(length(shape)+1:3)=1; end if(length(aspect)<3) aspect(length(aspect)+1:3)=1; end % allocate space D=cell(1,shape(3)); for k=1:shape(3) D{k}=zeros(shape(1:2)); end %%%%%%%%%%%%% scan along XY %%%%%%%%%%%%%%%% for k=1:shape(3) if(iscell(bw)) bwXY=bw{k}; else bwXY=bw(:,:,k); end % initialize arrays DXY=zeros(shape(1:2)); D1=zeros(shape(1:2)); DK=zeros(shape(1:2)); % if can, use 2D bwdist from image processing toolbox if(exist('bwdist') && aspect(1)==aspect(2)) D1=aspect(1)^2*bwdist(bwXY).^2; else % if not, use full XY-scan %%%%%%%%%%%%%%% X-SCAN %%%%%%%%%%%%%%% % reference nearest bwXY "on"-pixel in x direction downward: % scan bottow-up, copy x-reference from previous row unless % there is bwXY "on"-pixel in that point in current row xlower=repmat(Inf,shape(1:2)); xlower(1,find(bwXY(1,:)))=1; % fill in first row for i=2:shape(1) xlower(i,:)=xlower(i-1,:); % copy previous row xlower(i,find(bwXY(i,:)))=i;% unless there is pixel end % reference nearest bwXY "on"-pixel in x direction upward: xupper=repmat(Inf,shape(1:2)); xupper(end,find(bwXY(end,:)))=shape(1); for i=shape(1)-1:-1:1 xupper(i,:)=xupper(i+1,:); xupper(i,find(bwXY(i,:)))=i; end % find points for which distance needs to be updated idx=find(~bwXY); [x,y]=ind2sub(shape(1:2),idx); % set distance as the shortest to upward or to downward DXY(idx)=aspect(1)^2*min((x-xlower(idx)).^2,(x-xupper(idx)).^2); %%%%%%%%%%%%%%% Y-SCAN %%%%%%%%%%%%%%% % this will be the envelop % envelop is initialized at Inf to ensure single scan direction, % otherwise may end up in infinite loop when trying to find % starting point D1=repmat(Inf,shape(1:2)); % these will be the references to parabolas defining the envelop DK=repmat(Inf,shape(1:2)); % starting points i0=zeros(shape(1),1); % convenience x-coords array x=(1:shape(1))'; for i=1:shape(2) % need to select starting point for each X: % * starting point should be below current envelop % * i0==i is not necessarily a starting point % * there is at most one starting point % * there may be no starting point % i0 is the starting points for each X: i0(X) is the first % y-index such that parabola from line i is below the envelop % first guess is the current y-line i0(:)=i; % some auxiliary datasets d0=DXY(:,i); % L0 indicates for which X starting point had been fixed L0=isinf(d0) | (d0==0); while(~isempty(find(~L0,1))) % reference starting points in DXY idx=sub2ind(shape(1:2),x(~L0),i0(~L0)); % reduce out trivial points (DXY==0) L=(DXY(idx)==0); L0(~L0)=L; idx=idx(~L); if(isempty(idx)) continue; end % these are current best parabolas for starting points ik=DK(idx); % these are new values from parabola from line #i dtmp=d0(~L0)+aspect(2)^2*(i0(~L0)-i).^2; % these starting points are OK - below the envelop L=D1(idx)>dtmp; D1(idx(L))=dtmp(L); % points which are still above the envelop but ik==i0, % will not get any better, so fix them as well L=L | (ik==i0(~L0)); % all other points are not OK, need new starting point: % starting point should be at least below parabola % beating us at current choice of i0 % solve quadratic equation to find where this happens ik=(ik-i); di=(D1(idx(~L))-dtmp(~L))./ik(~L)/2/aspect(2)^2; % should select next highest index to the equality di=fix(di)+sign(di); % the new starting points idx=find(~L0); i0(idx(~L))=i0(idx(~L))+di; % update L0 to indicate which points we've fixed L0(~L0)=L; L0(idx(~L))=(di==0); % points that went out of boundaries can't get better; % fix them as well idx=idx(~L); idx=idx((i0(idx)<1) | (i0(idx)>shape(2))); i0(idx)=i; L0(idx)=1; end % reduce out trivial points DXY(idx)<DXY(:,i) idx=sub2ind(shape(1:2),x,i0); L=(DXY(idx)>0) | (i0==i); idx=idx(L); % these will keep track along which X should % keep updating distances map_lower=L; map_upper=L; idx_lower=idx; idx_upper=idx; % set trivial pixels D==0 in line #i: % this has to be done b/s we manually discarded them from L0 D1(d0==0,i)=0; % scan from starting points for each X,i0 in increments of 1 di=0; % distance from current y-line eols=2; % end-of-line-scan flag totlen=prod(shape(1:2)); while(eols) eols=2; di=di+1; % select X which can be updated for di<0; % i.e. X which had been below envelop all way till now if(~isempty(idx_lower)) % shift y by -1 idx_lower=idx_lower-shape(1); % prevent index dropping below 1st L=(idx_lower>=1); map_lower(map_lower)=L; idx_lower=idx_lower(L); if(~isempty(idx_lower)) dtmp=d0(map_lower)+... aspect(2)^2*(i0(map_lower)-di-i).^2; % these pixels are to be updated with i0-di L=D1(idx_lower)>dtmp & DXY(idx_lower)>0; map_lower(map_lower)=L; idx_lower=idx_lower(L); D1(idx_lower)=dtmp(L); DK(idx_lower)=i; end else % if this is empty, get ready to quit eols=eols-1; end % select X which can be updated for di>0; % i.e. X which had been below envelop all way till now if(~isempty(idx_upper)) % shift y by +1 idx_upper=idx_upper+shape(1); % prevent index from going over array limits L=(idx_upper<=totlen); map_upper(map_upper)=L; idx_upper=idx_upper(L); if(~isempty(idx_upper)) dtmp=d0(map_upper)+... aspect(2)^2*(i0(map_upper)+di-i).^2; % check which pixels are to be updated with i0+di L=D1(idx_upper)>dtmp & DXY(idx_upper)>0; map_upper(map_upper)=L; idx_upper=idx_upper(L); D1(idx_upper)=dtmp(L); DK(idx_upper)=i; end else % if this is empty, get ready to quit eols=eols-1; end end end end D{k}=D1; end %%%%%%%%%%%%% scan along Z %%%%%%%%%%%%%%%% % this will be the envelop: % envelop has to be initialized at Inf to ensure single direction of scan, % otherwise may end up in infinite loop when trying to find starting point D1=cell(size(D)); for k=1:shape(3) D1{k}=repmat(Inf,shape(1:2)); end % these will be the references to parabolas defining the envelop DK=cell(size(D)); for k=1:shape(3) DK{k}=repmat(Inf,shape(1:2)); end % start building the envelope for k=1:shape(3) % need to select starting point for each X: % * starting point should be below current envelop % * k0==k is not necessarily a starting point % * there may be no starting point % k0 is the starting points for each XY: k0(XY) is the first % z-index such that parabola from line k is below the envelop % initial starting point guess is current slice k0=repmat(k,shape(1:2)); % L0 indicates which starting points had been fixed L0=isinf(D{k}) | (D{k}==0); idxtot=find(~L0); while(~isempty(idxtot)) % because of using cells need to explicitly scan in Z % to avoid repetitious searches in k0, parse first ss=getregions(k0(idxtot)); sslen=length(ss); for kk=1:sslen % these are starting points @kk which had not been set idx=idxtot(ss(kk).PixelIdxList); % reduce out trivial points (D==0) if(kk~=k) L=(D{kk}(idx)==0); L0(idx)=L; idx=idx(~L); end if(isempty(idx)) continue; end % these are currently best parabolas for slice kk ik=DK{kk}(idx); % these are new values for slice kk from parabola from k dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these points are OK - below current envelop L=D1{kk}(idx)>dtmp; D1{kk}(idx(L))=dtmp(L); % these points are not OK, but since ik==k0 % can't get any better L=L | (ik==kk); % all other points are not OK, need new starting point: % starting point should be at least below parabola % beating us at current choice of k0 % solve quadratic equation to find where this happens ik=(ik-k); dk=(D1{kk}(idx(~L))-dtmp(~L))./ik(~L)/2/aspect(3)^2; dk=fix(dk)+sign(dk); k0(idx(~L))=k0(idx(~L))+dk; % update starting points that had been set L0(idx)=L; L0(idx(~L))=(dk==0); % points that went out of boundaries can't get better idx=idx(~L); idx=idx((k0(idx)<1) | (k0(idx)>shape(3))); L0(idx)=1; k0(idx)=k; end idxtot=find(~L0); end % map_lower/map_upper keeps track of which pixels can be yet updated % with new distance, i.e. all such XY that had been below envelop for % all dk up to now for dk<0/dk>0 respectively map_lower=true(shape(1:2)); map_upper=true(shape(1:2)); % parse different values in k0 to avoid repetitious searching below ss=getregions(k0); sslen=length(ss); % reduce out trivially faulty starting points for kk=1:sslen if(kk==k) continue; end idx=ss(kk).PixelIdxList; L=D{kk}(idx)>D{k}(idx); map_lower(idx)=L; map_upper(idx)=L; end % these are maintained to keep fast track of whether maps are empty idx_lower=find(map_lower); idx_upper=find(map_upper); % set trivial pixels D==0 in slice k: % this has to be done b/s we manually discarded them from L0 D1{k}(D{k}==0)=0; % scan away from starting points in increments of 1 dk=0; % distance from current xy-slice eols=2; % end-of-scan flag while(eols) eols=2; dk=dk+1; if(~isempty(idx_lower)) % prevent index from going over the boundaries L=(k0(map_lower)-dk>=1); map_lower(map_lower)=L; % need to explicitly scan in Z because of using cell-arrays for kk=1:sslen-dk % get all XY such that k0-dk==kk idx=ss(kk+dk).PixelIdxList; L=map_lower(idx); idx=idx(L); if(~isempty(idx)) dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these pixels are to be updated with k0-dk L=D1{kk}(idx)>dtmp & D{kk}(idx)>0; map_lower(idx)=L; D1{kk}(idx(L))=dtmp(L); % ridiculously, but this is faster than % direct assignment dtmp=idx(L); dtmp(:)=k; DK{kk}(idx(L))=k; end end idx_lower=idx_lower(map_lower(idx_lower)); else eols=eols-1; end if(~isempty(idx_upper)) % prevent index from going over the boundaries L=(k0(map_upper)+dk<=shape(3)); map_upper(map_upper)=L; % need to explicitly scan in Z because of using cell-arrays for kk=dk+1:min(shape(3),sslen+dk) % get all XY such that k0+dk==kk idx=ss(kk-dk).PixelIdxList; L=map_upper(idx); idx=idx(L); if(~isempty(idx)) dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these pixels are to be updated with k0+dk L=D1{kk}(idx)>dtmp & D{kk}(idx)>0; map_upper(idx)=L; D1{kk}(idx(L))=dtmp(L); dtmp=idx(L); dtmp(:)=k; DK{kk}(idx(L))=dtmp; end end idx_upper=idx_upper(map_upper(idx_upper)); else eols=eols-1; end end end % the answer if(iscell(bw)) D=cell(size(bw)); for k=1:shape(3) D{k}=sqrt(D1{k}); end else D=zeros(shape); for k=1:shape(3) D(:,:,k)=sqrt(D1{k}); end end function s=getregions(map) % this function is replacer for regionprops(map,'PixelIdxList'); % it produces the list of different values along with list of % indexes of pixels in map with these values; 's' is struct-array % such that s(i).PixelIdxList contains list of pixels in map % with value i. % enable using regionprops if available, faster on 7.3 fregionprops=1; % version control for using regionprops v=version; v=str2num(v(1:3)); fregionprops=fregionprops & v>=7.3; % in later matlab regionprops is actually faster than this code if(exist('regionprops') & fregionprops) s=regionprops(map,'PixelIdxList'); return end idx=(1:prod(size(map)))'; dtmp=double(map(:)); [dtmp,ind]=sort(dtmp); idx=idx(ind); ind=[0;find([diff(dtmp(:));1])]; s=[]; for i=2:length(ind) if(dtmp(ind(i)))==0 continue; end s(dtmp(ind(i))).PixelIdxList=idx(ind(i-1)+1:ind(i)); end
github
amcorrigan/IA-Lab-master
nuclearPropertiesFunctionTest.m
.m
IA-Lab-master/Tests/nuclearPropertiesFunctionTest.m
693
utf_8
ba0a6abfb01ff7b5766b72580e174ee8
function tests = nuclearPropertiesFunctionTest tests = functiontests(localfunctions); end function setupOnce(testCase) parentfolder = fileparts(which('nuclearPropertiesWorkflow.m')); parser = ParserYokogawa(fullfile(parentfolder,'AssayPlate')); testCase.TestData.Workflow = nuclearPropertiesWorkflow('tempoutput',parser); end function testReproducibleStats(testCase) imobj = testCase.TestData.Workflow.BatchParser.ParserObj.getAC2DObj('well','E03'); testCase.verifyTrue(iscell(imobj)); testCase.verifyEqual(numel(imobj),1,'Should be 1 image object returned'); imdata = imobj{1}.getDataC2D(); testCase.verifyEqual(numel(imdata),3,'Should be 3 channels'); end
github
amcorrigan/IA-Lab-master
YEAbout.m
.m
IA-Lab-master/YokoV2/YEAbout.m
3,650
utf_8
80021317baece190475f4d64bdddfe24
function varargout = YEAbout(varargin) % YEABOUT MATLAB code for YEAbout.fig % YEABOUT, by itself, creates a new YEABOUT or raises the existing % singleton*. % % H = YEABOUT returns the handle to a new YEABOUT or the handle to % the existing singleton*. % % YEABOUT('CALLBACK',hObject,eventData,handles,...) calls the local % function named CALLBACK in YEABOUT.M with the given input arguments. % % YEABOUT('Property','Value',...) creates a new YEABOUT or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before YEAbout_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to YEAbout_OpeningFcn via varargin. % % *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one % instance to run (singleton)". % % See also: GUIDE, GUIDATA, GUIHANDLES % Edit the above text to modify the response to help YEAbout % Last Modified by GUIDE v2.5 14-Oct-2016 13:34:02 % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @YEAbout_OpeningFcn, ... 'gui_OutputFcn', @YEAbout_OutputFcn, ... 'gui_LayoutFcn', [] , ... 'gui_Callback', []); if nargin && ischar(varargin{1}) gui_State.gui_Callback = str2func(varargin{1}); end if nargout [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:}); else gui_mainfcn(gui_State, varargin{:}); end % End initialization code - DO NOT EDIT end % --- Executes just before YEAbout is made visible. function YEAbout_OpeningFcn(hObject, eventdata, handles, varargin) % This function has no output args, see OutputFcn. % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % varargin command line arguments to YEAbout (see VARARGIN) %_______________________________________________ % change Yinhai Icon % % jFrame = get(hObject,'JavaFrame'); % % jIcon = javax.swing.ImageIcon('\\UK-Image-01\IAGroup\SB\2016\Yoko\Source Code\Artworks\icon_48.png'); % % jFrame.setFigureIcon(jIcon); % commented this out until any conflict with the licensing agreement is % clarified % this isn't necessary, everything is stored in handles % hAxes = findobj('Tag', 'AxesAbout'); % anImage = imread('\\UK-Image-01\IAGroup\SB\2016\Yoko\Source Code\Artworks\panel.png'); anImage = imread('IALab.png'); imshow(anImage, [], 'Parent', handles.AxesAbout, 'InitialMagnification', 'fit'); set(handles.AxesAbout,'xcolor','w','ycolor','w','xtick',[],'ytick',[]); set(handles.figure1,'Name','About IALab') % Update handles structure guidata(hObject, handles); % UIWAIT makes YEAbout wait for user response (see UIRESUME) % uiwait(handles.figure1); end % --- Outputs from this function are returned to the command line. function varargout = YEAbout_OutputFcn(hObject, eventdata, handles) % varargout cell array for returning output args (see VARARGOUT); % hObject handle to figure % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Get default command line output from handles structure varargout = cell(nargout,1); end
github
amcorrigan/IA-Lab-master
gaussFiltND.m
.m
IA-Lab-master/Filters/gaussFiltND.m
1,751
utf_8
37578851d6366b2c6b5ba79f53e5a72c
function fim = gaussFiltND(im,frad,boundcon,relsiz) % N-dimensional Gaussian filtering % This works by permuting the image rather than the % kernel so that the filtering is always done along the first dimension, % which seems to be faster for some reason. if nargin<4 || isempty(relsiz) relsiz = 6; % size of the filter relative to the Gaussian radius end if nargin<3 || isempty(boundcon) boundcon = 'replicate'; end if ~isa(im,'double') im = double(im); end % the number of elements of frad explicitly tells us how many dimensions we % want to filter, so a scalar would mean only the x-dimension is filtered siz = odd(relsiz.*frad,'up'); % element-wise in case we've specified different relative sizes in each dimension.. % need to work out which dimensions are to be permuted totdim = numel(size(im)); % assume we won't be daft enough to use this function for low dimensional images.. ndim = numel(frad); % allow a filter radius of zero to specify no filtering pvect = 1:totdim; pvect(1:ndim) = [ndim,1:(ndim-1)]; fim = im; % work in reverse order for ii = ndim:-1:1 fim = permute(fim,pvect); if frad(ii)>0 n = (0.55:0.1:(siz(ii)+0.45))'; m = (1+siz(ii))/2; temp1 = exp(-((n-m).^2)/(2*frad(ii)^2)); kk = sum(reshape(temp1,[10,numel(temp1)/10]),1)'; kk = kk/sum(kk); fim = imfilter(fim,kk,boundcon); end end end function out = odd(x,direction) if nargin<2 direction = 'up'; end if ~ischar(direction) if direction>0 direction = 'up'; else direction = 'down'; end end switch direction case 'up' out = ceil((x + 1)/2)*2 - 1; case 'down' out = floor((x + 1)/2)*2 - 1; end end
github
amcorrigan/IA-Lab-master
amcBilateral2D.m
.m
IA-Lab-master/Filters/amcBilateral2D.m
5,348
utf_8
c9c7a1e74c52e78500f4ee6e81555d70
function fim = amcBilateral2D(im,rdata,sxy,sr,rbins,xydsc) % fast bilateral filtering, taking advantage of MATLAB's efficiency of % array indexing % Adam Corrigan % if the normalization for r-binning is done only on rg without changing % im, we don't have to scale then rescale at the end.. % first thing to do is create a 3D image of im separated by intensity if nargin<4 || isempty(rbins) rbins = 10; end if nargin<5 || isempty(xydsc) xydsc = 2; % this should really be related to the size of the xy filter end if isscalar(xydsc) xydsc = xydsc*[1,1]; end if isempty(rdata) minim = double(min(im(:))); maxim = double(max(im(:))); rg = ceil(rbins*(double(im)-minim)/(maxim-minim)); else minim = double(min(rdata(:))); maxim = double(max(rdata(:))); rg = ceil(rbins*(double(rdata)-minim)/(maxim-minim)); end rg(rg==0) = 1; rg(rg>rbins) = rbins; [xx,yy] = amcMakeGrid(im); insiz = [size(im,1),size(im,2),rbins]; outsiz = ceil(insiz./[xydsc,1]); if numel(sxy)==1 sxy = [1,1]*sxy; end % width of the z-kernel sb = sr*rbins; % width of the xy-kernel in downscaled units scxy = sxy./xydsc; % % linind = amcSub2Ind(insiz,[xx(:),yy(:),rg(:)]); loutind = amcSub2Ind(outsiz,[ceil([xx(:),yy(:)]./(ones(numel(xx),1)*xydsc)),rg(:)]); % % num3 = zeros(size(im,1),size(im,2),rbins); % % denom3 = zeros(size(num3)); % % % % for ii = 1:rbins % % ntemp = zeros(size(im)); % % dtemp = zeros(size(im)); % % ntemp(rg==ii) = im(rg==ii); % % dtemp(rg==ii) = 1; % % % % num3(:,:,ii) = ntemp; % % denom3(:,:,ii) = dtemp; % % end % % d3 = zeros(insiz); % % n3 = zeros(insiz); % % d3(linind) = 1; % % n3(linind) = im(:); % have to use the 'in' indices here because we may have duplicates in the % 'out' indices and they need to be summed. % The two lines below take half the total running time, can we find a % better way? Perhaps accumarray? % % scd = blocksum(d3,[xydsc,xydsc,1],1); % % scn = blocksum(n3,[xydsc,xydsc,1],1); % This can't deal with NaNs.. % scd = reshape(accumarray(loutind,ones(size(loutind)),[prod(outsiz),1]),outsiz); % scn = reshape(accumarray(loutind,im(:),[prod(outsiz),1]),outsiz); inds = ~isnan(im); scd = reshape(accumarray(loutind(inds),ones(nnz(inds),1),[prod(outsiz),1]),outsiz); scn = reshape(accumarray(loutind(inds),im(inds),[prod(outsiz),1]),outsiz); % the rest of the running time is the actual filtering, which might be % improved % % fi = dog3split2([scxy,sb]); % % fnum = gauss3filt(scn,fi); % % fdenom = gauss3filt(scd,fi); fnum = gaussFiltND(scn,[scxy,sb]); fdenom = gaussFiltND(scd,[scxy,sb]); fim = zeros(insiz(1:2)); fim(inds) = fnum(loutind(inds))./fdenom(loutind(inds)); end function [x,y,z] = amcMakeGrid(im) % makegrid (because it uses ndgrid) can be very memory intensive (the % problem seems to be the permute command (line 48 of ndgrid) % Do something about this if numel(im)>3 ss = size(im); else ss = im; end if numel(ss)==1 ss = ss*ones(1,nargout); end if numel(ss)==2 && nargout>2 ss = [ss,1]; end switch length(ss) case 2 % [x,y] = ndgrid(1:ss(1),1:ss(2)); x = repmat((1:ss(1))',[1 ss(2)]); y = repmat((1:ss(2)),[ss(1) 1]); z = ones(size(x)); case 3 % [x,y,z] = ndgrid(1:ss(1),1:ss(2),1:ss(3)); x = repmat((1:ss(1))',[1 ss(2) ss(3)]); y = repmat((1:ss(2)),[ss(1) 1 ss(3)]); z = repmat(permute((1:ss(3)),[1 3 2]),[ss(1) ss(2) 1]); end end function fim = gaussFiltND(im,frad,boundcon,relsiz) % N-dimensional Gaussian filtering % This works by permuting the image rather than the % kernel so that the filtering is always done along the first dimension, % which seems to be faster for some reason. if nargin<4 || isempty(relsiz) relsiz = 6; % size of the filter relative to the Gaussian radius end if nargin<3 || isempty(boundcon) boundcon = 'replicate'; end if ~isa(im,'double') im = double(im); end % the number of elements of frad explicitly tells us how many dimensions we % want to filter, so a scalar would mean only the x-dimension is filtered siz = odd(relsiz.*frad,'up'); % element-wise in case we've specified different relative sizes in each dimension.. % need to work out which dimensions are to be permuted totdim = numel(size(im)); % assume we won't be daft enough to use this function for low dimensional images.. ndim = numel(frad); % allow a filter radius of zero to specify no filtering pvect = 1:totdim; pvect(1:ndim) = [ndim,1:(ndim-1)]; fim = im; % work in reverse order for ii = ndim:-1:1 fim = permute(fim,pvect); if frad(ii)>0 n = (0.55:0.1:(siz(ii)+0.45))'; m = (1+siz(ii))/2; temp1 = exp(-((n-m).^2)/(2*frad(ii)^2)); kk = sum(reshape(temp1,[10,numel(temp1)/10]),1)'; kk = kk/sum(kk); fim = imfilter(fim,kk,boundcon); end end end function out = odd(x,direction) if nargin<2 direction = 'up'; end if ~ischar(direction) if direction>0 direction = 'up'; else direction = 'down'; end end switch direction case 'up' out = ceil((x + 1)/2)*2 - 1; case 'down' out = floor((x + 1)/2)*2 - 1; end end
github
amcorrigan/IA-Lab-master
bwdistsc.m
.m
IA-Lab-master/Filters/bwdistsc.m
18,385
utf_8
a8192c2781c7f03ef9cf7e9f0b91c769
function D=bwdistsc(bw,aspect) % D=BWDISTSC(BW,ASPECT) % BWDISTSC computes Euclidean distance transform of the binary 3D image % BW. For each pixel in BW, the distance transform assignes a number % that is the distance between that pixel and the nearest nonzero pixel % of BW. BW may be a single 2D image, 3D array or a cell array of % 2D slices. ASPECT is 3-component vector defining aspect ratio in % the dataset BW. If ASPECT is not specified, isotropic aspect % ratio [1 1 1] is assumed. % % BWDISTSC uses fast optimized scanning algorithm and cell-arrays to % represent internal data, so that it is less demanding to physical % memory. In many cases BWDISTSC is actually faster than MATLAB's % optimized kd-tree algorithm used for Euclidean distance % transform in 3D. % % BWDISTSC tries to use MATLAB bwdist for 2D scans if possible, which % is significantly faster. Otherwise BWDISTSC uses internal algorithm % to perform 2D scans. % % Yuriy Mishchenko JFRC HHMI Chklovskii Lab JUL 2007 % This code is free for use or modifications, just please give credit % where appropriate. And if you modify code or fix bugs, please drop % me a message at [email protected]. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Scan algorithms below use following Lema: % % LEMA: let F(X,z) be lower envelope of a family of parabola: % % F(X,z)=min_{i} [G_i(X)+(z-k_i)^2]; % % and let H_k(X,z)=A(X)+(z-k)^2 be a parabola. % % Then for H_k(X,z)==F(X,z) at each X there exist at most % % two solutions k1<k2 such that H_k12(X,z)=F(X,z), and % % H_k(X,z)<F(X,z) is restricted to at most k1<k2. % % Here X is any-dimensional coordinate. % % % % Thus, simply scan away from any z such that H_k(X,z)<F(X,z) % % in either direction as long as H_k(X,z)<F(X,z) and update % % F(X,z). Note that need to properly choose starting point; % % starting point is any z such that H_k(X,z)<F(X,z); z==k is % % usually, but not always the starting point!!! % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % parse inputs if(nargin<2 || isempty(aspect)) aspect=[1 1 1]; end % determine geometry of data if(iscell(bw)) shape=[size(bw{1}),length(bw)]; else shape=size(bw); end % fix to handle 1D & 2D images if(length(shape)<3) shape(length(shape)+1:3)=1; end if(length(aspect)<3) aspect(length(aspect)+1:3)=1; end % allocate space D=cell(1,shape(3)); for k=1:shape(3) D{k}=zeros(shape(1:2)); end %%%%%%%%%%%%% scan along XY %%%%%%%%%%%%%%%% for k=1:shape(3) if(iscell(bw)) bwXY=bw{k}; else bwXY=bw(:,:,k); end % initialize arrays DXY=zeros(shape(1:2)); D1=zeros(shape(1:2)); DK=zeros(shape(1:2)); % if can, use 2D bwdist from image processing toolbox if(exist('bwdist') && aspect(1)==aspect(2)) D1=aspect(1)^2*bwdist(bwXY).^2; else % if not, use full XY-scan %%%%%%%%%%%%%%% X-SCAN %%%%%%%%%%%%%%% % reference nearest bwXY "on"-pixel in x direction downward: % scan bottow-up, copy x-reference from previous row unless % there is bwXY "on"-pixel in that point in current row xlower=repmat(Inf,shape(1:2)); xlower(1,find(bwXY(1,:)))=1; % fill in first row for i=2:shape(1) xlower(i,:)=xlower(i-1,:); % copy previous row xlower(i,find(bwXY(i,:)))=i;% unless there is pixel end % reference nearest bwXY "on"-pixel in x direction upward: xupper=repmat(Inf,shape(1:2)); xupper(end,find(bwXY(end,:)))=shape(1); for i=shape(1)-1:-1:1 xupper(i,:)=xupper(i+1,:); xupper(i,find(bwXY(i,:)))=i; end % find points for which distance needs to be updated idx=find(~bwXY); [x,y]=ind2sub(shape(1:2),idx); % set distance as the shortest to upward or to downward DXY(idx)=aspect(1)^2*min((x-xlower(idx)).^2,(x-xupper(idx)).^2); %%%%%%%%%%%%%%% Y-SCAN %%%%%%%%%%%%%%% % this will be the envelop % envelop is initialized at Inf to ensure single scan direction, % otherwise may end up in infinite loop when trying to find % starting point D1=repmat(Inf,shape(1:2)); % these will be the references to parabolas defining the envelop DK=repmat(Inf,shape(1:2)); % starting points i0=zeros(shape(1),1); % convenience x-coords array x=(1:shape(1))'; for i=1:shape(2) % need to select starting point for each X: % * starting point should be below current envelop % * i0==i is not necessarily a starting point % * there is at most one starting point % * there may be no starting point % i0 is the starting points for each X: i0(X) is the first % y-index such that parabola from line i is below the envelop % first guess is the current y-line i0(:)=i; % some auxiliary datasets d0=DXY(:,i); % L0 indicates for which X starting point had been fixed L0=isinf(d0) | (d0==0); while(~isempty(find(~L0,1))) % reference starting points in DXY idx=sub2ind(shape(1:2),x(~L0),i0(~L0)); % reduce out trivial points (DXY==0) L=(DXY(idx)==0); L0(~L0)=L; idx=idx(~L); if(isempty(idx)) continue; end % these are current best parabolas for starting points ik=DK(idx); % these are new values from parabola from line #i dtmp=d0(~L0)+aspect(2)^2*(i0(~L0)-i).^2; % these starting points are OK - below the envelop L=D1(idx)>dtmp; D1(idx(L))=dtmp(L); % points which are still above the envelop but ik==i0, % will not get any better, so fix them as well L=L | (ik==i0(~L0)); % all other points are not OK, need new starting point: % starting point should be at least below parabola % beating us at current choice of i0 % solve quadratic equation to find where this happens ik=(ik-i); di=(D1(idx(~L))-dtmp(~L))./ik(~L)/2/aspect(2)^2; % should select next highest index to the equality di=fix(di)+sign(di); % the new starting points idx=find(~L0); i0(idx(~L))=i0(idx(~L))+di; % update L0 to indicate which points we've fixed L0(~L0)=L; L0(idx(~L))=(di==0); % points that went out of boundaries can't get better; % fix them as well idx=idx(~L); idx=idx((i0(idx)<1) | (i0(idx)>shape(2))); i0(idx)=i; L0(idx)=1; end % reduce out trivial points DXY(idx)<DXY(:,i) idx=sub2ind(shape(1:2),x,i0); L=(DXY(idx)>0) | (i0==i); idx=idx(L); % these will keep track along which X should % keep updating distances map_lower=L; map_upper=L; idx_lower=idx; idx_upper=idx; % set trivial pixels D==0 in line #i: % this has to be done b/s we manually discarded them from L0 D1(d0==0,i)=0; % scan from starting points for each X,i0 in increments of 1 di=0; % distance from current y-line eols=2; % end-of-line-scan flag totlen=prod(shape(1:2)); while(eols) eols=2; di=di+1; % select X which can be updated for di<0; % i.e. X which had been below envelop all way till now if(~isempty(idx_lower)) % shift y by -1 idx_lower=idx_lower-shape(1); % prevent index dropping below 1st L=(idx_lower>=1); map_lower(map_lower)=L; idx_lower=idx_lower(L); if(~isempty(idx_lower)) dtmp=d0(map_lower)+... aspect(2)^2*(i0(map_lower)-di-i).^2; % these pixels are to be updated with i0-di L=D1(idx_lower)>dtmp & DXY(idx_lower)>0; map_lower(map_lower)=L; idx_lower=idx_lower(L); D1(idx_lower)=dtmp(L); DK(idx_lower)=i; end else % if this is empty, get ready to quit eols=eols-1; end % select X which can be updated for di>0; % i.e. X which had been below envelop all way till now if(~isempty(idx_upper)) % shift y by +1 idx_upper=idx_upper+shape(1); % prevent index from going over array limits L=(idx_upper<=totlen); map_upper(map_upper)=L; idx_upper=idx_upper(L); if(~isempty(idx_upper)) dtmp=d0(map_upper)+... aspect(2)^2*(i0(map_upper)+di-i).^2; % check which pixels are to be updated with i0+di L=D1(idx_upper)>dtmp & DXY(idx_upper)>0; map_upper(map_upper)=L; idx_upper=idx_upper(L); D1(idx_upper)=dtmp(L); DK(idx_upper)=i; end else % if this is empty, get ready to quit eols=eols-1; end end end end D{k}=D1; end %%%%%%%%%%%%% scan along Z %%%%%%%%%%%%%%%% % this will be the envelop: % envelop has to be initialized at Inf to ensure single direction of scan, % otherwise may end up in infinite loop when trying to find starting point D1=cell(size(D)); for k=1:shape(3) D1{k}=repmat(Inf,shape(1:2)); end % these will be the references to parabolas defining the envelop DK=cell(size(D)); for k=1:shape(3) DK{k}=repmat(Inf,shape(1:2)); end % start building the envelope for k=1:shape(3) % need to select starting point for each X: % * starting point should be below current envelop % * k0==k is not necessarily a starting point % * there may be no starting point % k0 is the starting points for each XY: k0(XY) is the first % z-index such that parabola from line k is below the envelop % initial starting point guess is current slice k0=repmat(k,shape(1:2)); % L0 indicates which starting points had been fixed L0=isinf(D{k}) | (D{k}==0); idxtot=find(~L0); while(~isempty(idxtot)) % because of using cells need to explicitly scan in Z % to avoid repetitious searches in k0, parse first ss=getregions(k0(idxtot)); sslen=length(ss); for kk=1:sslen % these are starting points @kk which had not been set idx=idxtot(ss(kk).PixelIdxList); % reduce out trivial points (D==0) if(kk~=k) L=(D{kk}(idx)==0); L0(idx)=L; idx=idx(~L); end if(isempty(idx)) continue; end % these are currently best parabolas for slice kk ik=DK{kk}(idx); % these are new values for slice kk from parabola from k dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these points are OK - below current envelop L=D1{kk}(idx)>dtmp; D1{kk}(idx(L))=dtmp(L); % these points are not OK, but since ik==k0 % can't get any better L=L | (ik==kk); % all other points are not OK, need new starting point: % starting point should be at least below parabola % beating us at current choice of k0 % solve quadratic equation to find where this happens ik=(ik-k); dk=(D1{kk}(idx(~L))-dtmp(~L))./ik(~L)/2/aspect(3)^2; dk=fix(dk)+sign(dk); k0(idx(~L))=k0(idx(~L))+dk; % update starting points that had been set L0(idx)=L; L0(idx(~L))=(dk==0); % points that went out of boundaries can't get better idx=idx(~L); idx=idx((k0(idx)<1) | (k0(idx)>shape(3))); L0(idx)=1; k0(idx)=k; end idxtot=find(~L0); end % map_lower/map_upper keeps track of which pixels can be yet updated % with new distance, i.e. all such XY that had been below envelop for % all dk up to now for dk<0/dk>0 respectively map_lower=true(shape(1:2)); map_upper=true(shape(1:2)); % parse different values in k0 to avoid repetitious searching below ss=getregions(k0); sslen=length(ss); % reduce out trivially faulty starting points for kk=1:sslen if(kk==k) continue; end idx=ss(kk).PixelIdxList; L=D{kk}(idx)>D{k}(idx); map_lower(idx)=L; map_upper(idx)=L; end % these are maintained to keep fast track of whether maps are empty idx_lower=find(map_lower); idx_upper=find(map_upper); % set trivial pixels D==0 in slice k: % this has to be done b/s we manually discarded them from L0 D1{k}(D{k}==0)=0; % scan away from starting points in increments of 1 dk=0; % distance from current xy-slice eols=2; % end-of-scan flag while(eols) eols=2; dk=dk+1; if(~isempty(idx_lower)) % prevent index from going over the boundaries L=(k0(map_lower)-dk>=1); map_lower(map_lower)=L; % need to explicitly scan in Z because of using cell-arrays for kk=1:sslen-dk % get all XY such that k0-dk==kk idx=ss(kk+dk).PixelIdxList; L=map_lower(idx); idx=idx(L); if(~isempty(idx)) dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these pixels are to be updated with k0-dk L=D1{kk}(idx)>dtmp & D{kk}(idx)>0; map_lower(idx)=L; D1{kk}(idx(L))=dtmp(L); % ridiculously, but this is faster than % direct assignment dtmp=idx(L); dtmp(:)=k; DK{kk}(idx(L))=k; end end idx_lower=idx_lower(map_lower(idx_lower)); else eols=eols-1; end if(~isempty(idx_upper)) % prevent index from going over the boundaries L=(k0(map_upper)+dk<=shape(3)); map_upper(map_upper)=L; % need to explicitly scan in Z because of using cell-arrays for kk=dk+1:min(shape(3),sslen+dk) % get all XY such that k0+dk==kk idx=ss(kk-dk).PixelIdxList; L=map_upper(idx); idx=idx(L); if(~isempty(idx)) dtmp=D{k}(idx)+aspect(3)^2*(kk-k)^2; % these pixels are to be updated with k0+dk L=D1{kk}(idx)>dtmp & D{kk}(idx)>0; map_upper(idx)=L; D1{kk}(idx(L))=dtmp(L); dtmp=idx(L); dtmp(:)=k; DK{kk}(idx(L))=dtmp; end end idx_upper=idx_upper(map_upper(idx_upper)); else eols=eols-1; end end end % the answer if(iscell(bw)) D=cell(size(bw)); for k=1:shape(3) D{k}=sqrt(D1{k}); end else D=zeros(shape); for k=1:shape(3) D(:,:,k)=sqrt(D1{k}); end end function s=getregions(map) % this function is replacer for regionprops(map,'PixelIdxList'); % it produces the list of different values along with list of % indexes of pixels in map with these values; 's' is struct-array % such that s(i).PixelIdxList contains list of pixels in map % with value i. % enable using regionprops if available, faster on 7.3 fregionprops=1; % version control for using regionprops v=version; v=str2num(v(1:3)); fregionprops=fregionprops & v>=7.3; % in later matlab regionprops is actually faster than this code if(exist('regionprops') & fregionprops) s=regionprops(map,'PixelIdxList'); return end idx=(1:prod(size(map)))'; dtmp=double(map(:)); [dtmp,ind]=sort(dtmp); idx=idx(ind); ind=[0;find([diff(dtmp(:));1])]; s=[]; for i=2:length(ind) if(dtmp(ind(i)))==0 continue; end s(dtmp(ind(i))).PixelIdxList=idx(ind(i-1)+1:ind(i)); end