2.87.30 C:\barry\spectra\low_conf_image\Test set 1072Mover{1,HP22141067}.Drawer{6-f-2-20}.20220115042025285.hax{144246}.vax{57879}.triangulationFailure.bmp 7199 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12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 101 101 MY_X1 MY_Y1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 100.0 100.0 MY_X2 MY_Y2 0 MY_DIST MOUSE_CLICK_X MY_X1 MOUSE_CLICK_Y MY_Y1 red 2 FALSE FALSE white Normal (10pt) MY_DIST = [MY_DIST] 1 MY_DIST 95 50 39 50 0 green 1 1 3 1 200 MOUSE_CLICK_X 100 MY_X1 100 MOUSE_CLICK_Y 100 MY_Y1 3 -1 -1 -1 -1 -1 3 -1 -1 -1 -1 -1 TRUE FALSE -1 -1 -1 -1 -1 20 MY_DIST red 2 FALSE FALSE white Normal (10pt) LONG! 1 86 50 22 50 red 2 FALSE FALSE white Normal (10pt) SHORT! 1 86 50 22 50