c=========================================================================== program red c July 17, 1999, August 5, 1999 c calculates interstellar reddening in the central area of Baade's Window c in the field: c 18.050863 < RA < 18.068258 [hours] c -30.153542 < DEC < -29.910292 [degrees] c INPUT: c alpha = RA of a star, in a 'free' format, which can be: c - a floating point number expressed in hours c - string, eg.: 10:20:30.55 -0:20.5 13d45m12s c any character(s) other than "-+0-9." can serve as separator c delta = DEC of a star, in a 'free' format, as "alpha" above c c a series of these numbers are stored in file "red.in" c c OUTPUT: c evi = E_{V-I}, reddening in the V-I color c stored in file red.out c reads two tables: viav(39,42) and nvi(39,42) from grid50n.res c these contain the values of average (V-I) colors and the number of stars per c grid square for ix=39 iy=42 squares, each made of 50x50 CCD pixels of 0.417" implicit double precision (a-h,o-z) character*80 line c - - - - - read the map of average color data: call readt c - - - - - set the (RA,DEC) -> (x,y) conversion constants: call convc open(11,file='red.in') open(12,file='red.out') nred=0 ntot=0 10 read(11,'(a)',end=20) line call readline(line,alpha,delta,iflag) if (iflag .ne. 1) goto 10 ntot = ntot+1 call redden(alpha,delta,evi,iflag) write(12,100)alpha,delta,evi,iflag 100 format(1x,2f12.7,f8.3,i7) if(iflag.gt.0)nred=nred+1 goto 10 20 continue c nred = number of stars for which reddening has been calculated write(*,101)ntot,nred 101 format(' ntot, nred =',2i7) close(11) close(12) stop end c=========================================================================== subroutine redden(alpha,delta,evi,iflag) c calculates reddening in the Baade's Window Central field, BWC c by interpolating in the table viav(38,41) c it works for 0 < x < 1950; 3500 < y < 5600 c INPUT: c alpha = RA as a floating point number expressed in hours c delta = DEC as a floating point number expressed in degrees c OUTPUT: c evi = the (V-I) color c iflag = 1 if the color is good c iflag = -1 if the color could not be calculated (x or y out of range) implicit double precision (a-h,o-z) common/table/vi(38,41),pix,n(38,41),nx,ny c conversion from (RA,DEC) to (x,y) c x = pixel number in the RA direction for the extinction map c y = pixel number in the DEC direction for the extinction map call conv(alpha,delta,x,y) if(x.le.0.0d0.or.x.ge.1950.0d0)go to 7 if(y.le.3500.0d0.or.y.ge.5600.0d0)go to 7 c coordinates are good, calculate the color iflag=1 one=1.0d0 ix=int(x/50.0d0+1)-1 iy=int((y-3500.0d0)/50.0d0+1)-1 if(ix.eq.0.and.iy.eq.0)go to 1 if(ix.eq.0.and.iy.eq.ny)go to 2 if(ix.eq.nx.and.iy.eq.0)go to 3 if(ix.eq.nx.and.iy.eq.ny)go to 4 if(ix.eq.0.or.ix.eq.nx)go to 5 if(iy.eq.0.or.iy.eq.ny)go to 6 fx=x/50.0d0-ix fy=(y-3500.0d0)/50.0d0-iy evi=(one-fx)*(vi(ix,iy)*(one-fy)+vi(ix,iy+1)*fy)+ & fx*(vi(ix+1,iy)*(one-fy)+vi(ix+1,iy+1)*fy) return 1 continue c ix.eq.0.and.iy.eq.0 evi=vi(1,1) return 2 continue c ix.eq.0.and.iy.eq.ny evi=vi(1,ny) return 3 continue c ix.eq.nx.and.iy.eq.0 evi=vi(nx,1) return 4 continue c ix.eq.nx.and.iy.eq.ny evi=vi(nx,ny) return 5 continue c ix.eq.0.or.ix.eq.nx but 1 < iy < ny if(ix.eq.0)ix=1 fy=(y-3500.0d0)/50.0d0-iy evi=(one-fy)*vi(ix,iy)+fy*vi(ix,iy+1) return 6 continue c iy.eq.0.or.iy.eq.ny but 1 < ix < nx if(iy.eq.0)iy=1 fx=x/50.0d0-ix evi=(one-fx)*vi(ix,iy)+fx*vi(ix+1,iy) return 7 continue c coordinates out of range iflag=-1 evi=-9.99 return end c============================================================================== subroutine readt c c prepares working tables from data stored in segment BLOCK DATA input c which contains the table with the number of stars and c the average colors of the stars on a grid of 50 x 50 pixels in the central c area of Baade's Window c calculates average (V-I) colors on a grid made of 100x100 pixels c with a shift of 50 pixels (i.e. partial overlap) for stars in the c four regions in the CMD; subtracts 0.9314 from those colors to c obtain E_{V-I}; the constant 0.9314 has been obtained by comparing c the OGLE-II colors in grid50n.res with Stanek's reddening map in map3.res implicit double precision (a-h,o-z) parameter (ng=1638) dimension viav(40,42),nviav(40,42) common /intable/ ixtab(ng),iytab(ng),nvtab(ng),vtab(ng) common/table/viav2(38,41),pix,nviav2(38,41),nx,ny nx=38 ny=41 pix=100.0 ngrid=ng do 1 i=1,ngrid ix = ixtab(i) iy = iytab(i) nviav(ix,iy) = nvtab(i) viav(ix,iy) = vtab(i) 1 continue do 4 ix=1,nx do 3 iy=1,ny nviav2(ix,iy)= & nviav(ix,iy)+nviav(ix+1,iy)+nviav(ix,iy+1)+nviav(ix+1,iy+1) viav2a=(viav(ix,iy)*nviav(ix,iy) & +viav(ix,iy+1)*nviav(ix,iy+1) & +viav(ix+1,iy)*nviav(ix+1,iy) & +viav(ix+1,iy+1)*nviav(ix+1,iy+1))/nviav2(ix,iy) viav2(ix,iy)=viav2a-0.9314 3 continue 4 continue return end c============================================================================== subroutine convc c sets the conversion constants from (RA,DEC) to pixels (x,y) c OUTPUT: c constants in common/const/ c the center of NGC 6522 is at at (x,y) = (982.8,4520.8), and it is close c to the field center; pixel size = 0.417" implicit double precision (a-h,o-z) common/const/rangc,decngc,xngc,yngc,drax,ddecy rangc=18.05963 decngc=-30.0353 c rangc = RA of NGC 6522 expressed in hours c decngc = DEC of NGC 6522 expressed in degrees xngc=982.8 yngc=4520.8 c xngc = RA of NGC 6522 expressed in pixels c yngc = DEC of NGC 6522 expressed in pixels ddecy=3600.0/0.417 drax=3600.0*15.0/0.4817 c NOTE: 0.4817 = 0.417 / cos (decngc) c ddecy = conversion factor from DEC to y-pixel c drax = conversion factor from RA to x-pixel return end c=========================================================================== subroutine conv(alpha,delta,x,y) c INPUT: c alpha = RA as a floating point number expressed in hours c delta = DEC as a floating point number expressed in degrees c (RA,DEC) -> (x,y) conversion constants in common/const/ c OUTPUT: c x = pixel number in the RA direction for the extinction map c y = pixel number in the DEC direction for the extinction map c the center of NGC 6522 is at at (x,y) = (982.8,4520.8), and it is close c to the field center; pixel size = 0.417" implicit double precision (a-h,o-z) common/const/rangc,decngc,xngc,yngc,drax,ddecy x=xngc+(alpha-rangc)*drax y=yngc+(delta-decngc)*ddecy x=x-17.65 y=y-7.68 c resulting errors: delx ,sigx, dely ,sigy= 0.0, 3.84, 0.0, 4.09 return end c=========================================================================== subroutine readline(line,val1,val2,iflag) c c INPUT: c line = line containing 2 whitespace-separated strings c OUTPUT: c val1 = first string converted to decimal value by str2dec c val2 = second string converted to decimal value by str2dec c iflag = 1 - conversion OK, .lt.0 - conversion failed c implicit double precision (a-h,o-z) character*(*) line character*32 str1, str2 call findstr(line,1,ifirst,ilast) if ( ilast .lt. ifirst ) then iflag = -1 return endif call str2dec(line(ifirst:ilast),val1,iflag) if ( iflag .lt. 0 ) return call findstr(line,ilast+1,ifirst,ilast) if ( ilast .lt. ifirst ) then iflag = -1 return endif call str2dec(line(ifirst:ilast),val2,iflag) return end c=========================================================================== subroutine findstr(line,nstart,ifirst,ilast) c c INPUT: c line = line containing whitespace-separated strings c nstart = index of first character to start search c OUTPUT: c ifirst = index of first non-space char found c ilast = index of last consecutive non-space char found c character*(*) line ifirst = nstart ilast = len(line) do i=nstart,len(line) if ( line(i:i).ne.' ' .and. line(i:i).ne.char(9) ) then ifirst = i goto 10 endif enddo 10 continue do i=ifirst,len(line) if ( line(i:i).eq.' ' .or. line(i:i).eq.char(9) ) then ilast = i-1 goto 20 endif enddo 20 continue return end c=========================================================================== subroutine str2dec(str, val, iflag) c c INPUT: c str = string representing hexagesimal value in 'free' format: c - a floating point number expressed in hours c - string, eg.: 10:20:30.55 -0:20.5 13d45m12s c any character(s) other than "-+0-9." can serve as separator c OUTPUT: c val = decimal value (in hours/degrees) c iflag = 1 - conversion OK, .lt.0 - conversion failed c implicit double precision (a-h,o-z) character*(*) str character*10 valstr(3) integer nchar(3) character ch double precision m c do i=1,3 valstr(i) = '' nchar(i) = 0 enddo idx = 1 nch = 1 sign = 1 nonsp = 0 do i=1,len(str) ch = str(i:i) c c ignore all spaces c if ( ch .eq. ' ' ) goto 10 nonsp = nonsp + 1 c c seconds' field may be followed by only one non-space separator c if ( idx .gt. 3 ) then iflag = -1 return endif c c minus sign may be only the first non-space character c if ( ch .eq. '-' ) then if ( nonsp .gt. 1 ) then iflag = -1 return endif sign = -1 goto 10 endif c c plus sign (ignored) may be only the first non-space character c if ( ch .eq. '+' ) then if ( nonsp .gt. 1 ) then iflag = -1 return endif goto 10 endif if ( ch.ge.'0' .and. ch.le.'9' .or. ch.eq.'.' ) then valstr(idx)(nch:nch) = ch nch = nch + 1 nchar(idx) = nch else idx = idx+1 nch = 1 endif 10 continue enddo if ( nchar(1).eq.0 ) then iflag = -1 return endif h = 0.0 m = 0.0 s = 0.0 read(valstr(1),*) h val = h if ( idx.gt.1 .and. nchar(2).gt.0 ) then read(valstr(2),*) m val = val + m/60 endif if ( idx.gt.2 .and. nchar(3).gt.0 ) then read(valstr(3),*) s val = val + s/3600 endif val = val*sign iflag = 1 return end c=========================================================================== block data input implicit double precision (a-h,o-z) parameter (ng=1638) common /intable/ ixtab(ng),iytab(ng),nvtab(ng),vtab(ng) data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1,18) / $ 1, 1, 7, 1.7057, $ 2, 1, 8, 1.6650, $ 3, 1, 11, 1.6425, $ 4, 1, 8, 1.7000, $ 5, 1, 6, 1.6663, $ 6, 1, 13, 1.6668, $ 7, 1, 10, 1.7086, $ 8, 1, 7, 1.5413, $ 9, 1, 15, 1.5586, $ 10, 1, 10, 1.6629, $ 11, 1, 10, 1.5566, $ 12, 1, 11, 1.6138, $ 13, 1, 11, 1.5955, $ 14, 1, 10, 1.5704, $ 15, 1, 14, 1.5211, $ 16, 1, 12, 1.5832, $ 17, 1, 19, 1.5725, $ 18, 1, 9, 1.6802 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=19,36) / $ 19, 1, 12, 1.6333, $ 20, 1, 11, 1.6422, $ 21, 1, 17, 1.6273, $ 22, 1, 10, 1.5663, $ 23, 1, 14, 1.5896, $ 24, 1, 10, 1.6056, $ 25, 1, 15, 1.5679, $ 26, 1, 11, 1.5619, $ 27, 1, 12, 1.5395, $ 28, 1, 12, 1.5542, $ 29, 1, 15, 1.5111, $ 30, 1, 10, 1.4478, $ 31, 1, 12, 1.5508, $ 32, 1, 20, 1.5654, $ 33, 1, 15, 1.5957, $ 34, 1, 17, 1.5955, $ 35, 1, 17, 1.5644, $ 36, 1, 10, 1.5630 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=37,54) / $ 37, 1, 13, 1.6145, $ 38, 1, 8, 1.5668, $ 39, 1, 11, 1.5817, $ 1, 2, 6, 1.6132, $ 2, 2, 7, 1.7159, $ 3, 2, 9, 1.7758, $ 4, 2, 9, 1.7094, $ 5, 2, 7, 1.7226, $ 6, 2, 3, 1.6553, $ 7, 2, 7, 1.6330, $ 8, 2, 12, 1.5610, $ 9, 2, 13, 1.6323, $ 10, 2, 5, 1.6158, $ 11, 2, 12, 1.6351, $ 12, 2, 11, 1.6248, $ 13, 2, 6, 1.6167, $ 14, 2, 14, 1.5704, $ 15, 2, 11, 1.5355 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=55,72) / $ 16, 2, 11, 1.5560, $ 17, 2, 7, 1.5393, $ 18, 2, 9, 1.6483, $ 19, 2, 7, 1.6309, $ 20, 2, 12, 1.6658, $ 21, 2, 11, 1.6422, $ 22, 2, 11, 1.5857, $ 23, 2, 18, 1.5900, $ 24, 2, 11, 1.5950, $ 25, 2, 17, 1.6316, $ 26, 2, 4, 1.5933, $ 27, 2, 6, 1.6458, $ 28, 2, 13, 1.5183, $ 29, 2, 12, 1.5311, $ 30, 2, 9, 1.5422, $ 31, 2, 11, 1.4898, $ 32, 2, 11, 1.5515, $ 33, 2, 15, 1.5729 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=73,90) / $ 34, 2, 15, 1.5454, $ 35, 2, 15, 1.5759, $ 36, 2, 8, 1.5410, $ 37, 2, 13, 1.6240, $ 38, 2, 12, 1.5609, $ 39, 2, 14, 1.6311, $ 1, 3, 4, 1.5805, $ 2, 3, 4, 1.6108, $ 3, 3, 4, 1.6452, $ 4, 3, 3, 1.6093, $ 5, 3, 6, 1.6260, $ 6, 3, 6, 1.5417, $ 7, 3, 3, 1.6243, $ 8, 3, 4, 1.6825, $ 9, 3, 7, 1.6400, $ 10, 3, 9, 1.5592, $ 11, 3, 4, 1.5555, $ 12, 3, 8, 1.4852 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=91,108) / $ 13, 3, 10, 1.5411, $ 14, 3, 8, 1.4579, $ 15, 3, 7, 1.4870, $ 16, 3, 9, 1.4492, $ 17, 3, 11, 1.5948, $ 18, 3, 6, 1.5368, $ 19, 3, 8, 1.5506, $ 20, 3, 9, 1.6208, $ 21, 3, 8, 1.6129, $ 22, 3, 14, 1.5706, $ 23, 3, 6, 1.4833, $ 24, 3, 14, 1.5883, $ 25, 3, 11, 1.5608, $ 26, 3, 3, 1.5130, $ 27, 3, 8, 1.5220, $ 28, 3, 9, 1.5359, $ 29, 3, 5, 1.5494, $ 30, 3, 6, 1.5833 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=109,126) / $ 31, 3, 16, 1.5487, $ 32, 3, 10, 1.5760, $ 33, 3, 5, 1.6014, $ 34, 3, 13, 1.5799, $ 35, 3, 12, 1.6027, $ 36, 3, 20, 1.5599, $ 37, 3, 10, 1.5719, $ 38, 3, 5, 1.5902, $ 39, 3, 5, 1.5450, $ 1, 4, 5, 1.5578, $ 2, 4, 5, 1.6064, $ 3, 4, 9, 1.6471, $ 4, 4, 5, 1.6330, $ 5, 4, 7, 1.6151, $ 6, 4, 4, 1.5130, $ 7, 4, 7, 1.5869, $ 8, 4, 7, 1.6646, $ 9, 4, 6, 1.6798 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=127,144) / $ 10, 4, 4, 1.5495, $ 11, 4, 16, 1.5647, $ 12, 4, 19, 1.5700, $ 13, 4, 9, 1.4811, $ 14, 4, 17, 1.5254, $ 15, 4, 5, 1.4492, $ 16, 4, 10, 1.5610, $ 17, 4, 15, 1.5435, $ 18, 4, 8, 1.5681, $ 19, 4, 8, 1.6184, $ 20, 4, 7, 1.5694, $ 21, 4, 5, 1.5742, $ 22, 4, 9, 1.5572, $ 23, 4, 9, 1.6549, $ 24, 4, 8, 1.5695, $ 25, 4, 4, 1.5023, $ 26, 4, 5, 1.6096, $ 27, 4, 9, 1.5462 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=145,162) / $ 28, 4, 14, 1.5690, $ 29, 4, 15, 1.5394, $ 30, 4, 18, 1.5129, $ 31, 4, 10, 1.6223, $ 32, 4, 13, 1.5487, $ 33, 4, 10, 1.5882, $ 34, 4, 9, 1.5446, $ 35, 4, 18, 1.6312, $ 36, 4, 9, 1.5867, $ 37, 4, 14, 1.6428, $ 38, 4, 10, 1.5825, $ 39, 4, 4, 1.6440, $ 1, 5, 4, 1.5422, $ 2, 5, 9, 1.5367, $ 3, 5, 11, 1.6106, $ 4, 5, 8, 1.5512, $ 5, 5, 12, 1.6374, $ 6, 5, 3, 1.5847 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=163,180) / $ 7, 5, 8, 1.5872, $ 8, 5, 7, 1.5953, $ 9, 5, 6, 1.6215, $ 10, 5, 9, 1.6643, $ 11, 5, 6, 1.5343, $ 12, 5, 11, 1.4986, $ 13, 5, 15, 1.5575, $ 14, 5, 12, 1.5100, $ 15, 5, 13, 1.5218, $ 16, 5, 15, 1.5136, $ 17, 5, 4, 1.5185, $ 18, 5, 11, 1.5321, $ 19, 5, 14, 1.5529, $ 20, 5, 13, 1.6186, $ 21, 5, 7, 1.5847, $ 22, 5, 7, 1.5466, $ 23, 5, 8, 1.5041, $ 24, 5, 14, 1.5614 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=181,198) / $ 25, 5, 20, 1.6277, $ 26, 5, 7, 1.4594, $ 27, 5, 6, 1.6065, $ 28, 5, 7, 1.6131, $ 29, 5, 14, 1.5698, $ 30, 5, 8, 1.5889, $ 31, 5, 12, 1.5638, $ 32, 5, 11, 1.6199, $ 33, 5, 12, 1.6139, $ 34, 5, 17, 1.5886, $ 35, 5, 9, 1.5352, $ 36, 5, 11, 1.5642, $ 37, 5, 15, 1.5822, $ 38, 5, 13, 1.6658, $ 39, 5, 13, 1.6480, $ 1, 6, 8, 1.5371, $ 2, 6, 8, 1.5011, $ 3, 6, 10, 1.5821 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=199,216) / $ 4, 6, 11, 1.5750, $ 5, 6, 11, 1.5412, $ 6, 6, 18, 1.4958, $ 7, 6, 15, 1.5545, $ 8, 6, 18, 1.5187, $ 9, 6, 10, 1.5885, $ 10, 6, 11, 1.6289, $ 11, 6, 14, 1.6119, $ 12, 6, 14, 1.5839, $ 13, 6, 10, 1.5929, $ 14, 6, 16, 1.5198, $ 15, 6, 11, 1.5529, $ 16, 6, 15, 1.5816, $ 17, 6, 7, 1.5366, $ 18, 6, 15, 1.5607, $ 19, 6, 15, 1.5391, $ 20, 6, 11, 1.5574, $ 21, 6, 16, 1.6095 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=217,234) / $ 22, 6, 11, 1.5818, $ 23, 6, 11, 1.5825, $ 24, 6, 14, 1.5315, $ 25, 6, 13, 1.5971, $ 26, 6, 2, 1.6000, $ 27, 6, 14, 1.6030, $ 28, 6, 21, 1.5244, $ 29, 6, 17, 1.5748, $ 30, 6, 11, 1.6108, $ 31, 6, 10, 1.5690, $ 32, 6, 13, 1.6274, $ 33, 6, 14, 1.6223, $ 34, 6, 11, 1.5869, $ 35, 6, 13, 1.5800, $ 36, 6, 11, 1.6441, $ 37, 6, 8, 1.5805, $ 38, 6, 16, 1.6231, $ 39, 6, 11, 1.7089 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=235,252) / $ 1, 7, 5, 1.5232, $ 2, 7, 8, 1.6007, $ 3, 7, 10, 1.6096, $ 4, 7, 9, 1.6097, $ 5, 7, 17, 1.5248, $ 6, 7, 15, 1.6040, $ 7, 7, 10, 1.5104, $ 8, 7, 13, 1.5514, $ 9, 7, 12, 1.5884, $ 10, 7, 9, 1.5700, $ 11, 7, 15, 1.5441, $ 12, 7, 17, 1.5294, $ 13, 7, 12, 1.5441, $ 14, 7, 9, 1.5434, $ 15, 7, 8, 1.5618, $ 16, 7, 16, 1.5454, $ 17, 7, 14, 1.5957, $ 18, 7, 8, 1.5658 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=253,270) / $ 19, 7, 11, 1.5535, $ 20, 7, 10, 1.5220, $ 21, 7, 13, 1.5728, $ 22, 7, 14, 1.6213, $ 23, 7, 17, 1.5823, $ 24, 7, 12, 1.5502, $ 25, 7, 5, 1.6450, $ 26, 7, 7, 1.5963, $ 27, 7, 14, 1.5362, $ 28, 7, 10, 1.5824, $ 29, 7, 15, 1.5865, $ 30, 7, 11, 1.5627, $ 31, 7, 14, 1.5646, $ 32, 7, 12, 1.6083, $ 33, 7, 12, 1.6410, $ 34, 7, 10, 1.6597, $ 35, 7, 12, 1.6798, $ 36, 7, 13, 1.5922 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=271,288) / $ 37, 7, 16, 1.6684, $ 38, 7, 12, 1.6569, $ 39, 7, 15, 1.6016, $ 1, 8, 11, 1.5762, $ 2, 8, 7, 1.5181, $ 3, 8, 10, 1.5442, $ 4, 8, 16, 1.5099, $ 5, 8, 14, 1.5651, $ 6, 8, 13, 1.5149, $ 7, 8, 16, 1.5471, $ 8, 8, 10, 1.5335, $ 9, 8, 18, 1.5479, $ 10, 8, 12, 1.5645, $ 11, 8, 13, 1.6323, $ 12, 8, 18, 1.5354, $ 13, 8, 14, 1.5865, $ 14, 8, 13, 1.5948, $ 15, 8, 12, 1.6470 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=289,306) / $ 16, 8, 14, 1.5486, $ 17, 8, 5, 1.5766, $ 18, 8, 7, 1.5471, $ 19, 8, 17, 1.5908, $ 20, 8, 15, 1.5835, $ 21, 8, 12, 1.6251, $ 22, 8, 13, 1.6068, $ 23, 8, 10, 1.4985, $ 24, 8, 14, 1.6173, $ 25, 8, 15, 1.5722, $ 26, 8, 8, 1.5009, $ 27, 8, 12, 1.4905, $ 28, 8, 11, 1.5316, $ 29, 8, 16, 1.5596, $ 30, 8, 11, 1.5232, $ 31, 8, 9, 1.6183, $ 32, 8, 20, 1.5677, $ 33, 8, 16, 1.6026 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=307,324) / $ 34, 8, 25, 1.6062, $ 35, 8, 16, 1.6337, $ 36, 8, 12, 1.6142, $ 37, 8, 8, 1.6635, $ 38, 8, 10, 1.5743, $ 39, 8, 8, 1.6955, $ 1, 9, 8, 1.6801, $ 2, 9, 11, 1.6347, $ 3, 9, 9, 1.6089, $ 4, 9, 16, 1.5729, $ 5, 9, 13, 1.4568, $ 6, 9, 13, 1.5310, $ 7, 9, 14, 1.5267, $ 8, 9, 15, 1.5846, $ 9, 9, 20, 1.5152, $ 10, 9, 11, 1.5249, $ 11, 9, 15, 1.5434, $ 12, 9, 8, 1.6184 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=325,342) / $ 13, 9, 14, 1.5987, $ 14, 9, 18, 1.5901, $ 15, 9, 15, 1.5487, $ 16, 9, 16, 1.5463, $ 17, 9, 16, 1.5516, $ 18, 9, 8, 1.6101, $ 19, 9, 15, 1.5317, $ 20, 9, 15, 1.5928, $ 21, 9, 17, 1.6118, $ 22, 9, 19, 1.5662, $ 23, 9, 16, 1.6064, $ 24, 9, 16, 1.5901, $ 25, 9, 15, 1.5017, $ 26, 9, 5, 1.5380, $ 27, 9, 12, 1.4972, $ 28, 9, 16, 1.5229, $ 29, 9, 9, 1.6156, $ 30, 9, 16, 1.5343 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=343,360) / $ 31, 9, 8, 1.5074, $ 32, 9, 13, 1.5387, $ 33, 9, 9, 1.5459, $ 34, 9, 19, 1.5443, $ 35, 9, 16, 1.6188, $ 36, 9, 22, 1.5720, $ 37, 9, 9, 1.5589, $ 38, 9, 17, 1.6906, $ 39, 9, 11, 1.7177, $ 1, 10, 11, 1.5893, $ 2, 10, 10, 1.5827, $ 3, 10, 11, 1.5456, $ 4, 10, 14, 1.6421, $ 5, 10, 16, 1.4824, $ 6, 10, 15, 1.4914, $ 7, 10, 6, 1.5322, $ 8, 10, 11, 1.5376, $ 9, 10, 13, 1.5438 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=361,378) / $ 10, 10, 10, 1.5323, $ 11, 10, 13, 1.5222, $ 12, 10, 12, 1.5375, $ 13, 10, 11, 1.5759, $ 14, 10, 14, 1.6371, $ 15, 10, 13, 1.5868, $ 16, 10, 11, 1.5812, $ 17, 10, 11, 1.5490, $ 18, 10, 14, 1.5764, $ 19, 10, 20, 1.6091, $ 20, 10, 13, 1.5806, $ 21, 10, 14, 1.6039, $ 22, 10, 17, 1.5994, $ 23, 10, 14, 1.5611, $ 24, 10, 15, 1.5969, $ 25, 10, 13, 1.5662, $ 26, 10, 7, 1.5449, $ 27, 10, 11, 1.5264 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=379,396) / $ 28, 10, 8, 1.5050, $ 29, 10, 7, 1.4617, $ 30, 10, 16, 1.5311, $ 31, 10, 9, 1.5928, $ 32, 10, 12, 1.5401, $ 33, 10, 20, 1.5333, $ 34, 10, 9, 1.6053, $ 35, 10, 15, 1.6035, $ 36, 10, 18, 1.6360, $ 37, 10, 18, 1.6082, $ 38, 10, 13, 1.6382, $ 39, 10, 18, 1.6463, $ 1, 11, 9, 1.6456, $ 2, 11, 12, 1.5622, $ 3, 11, 15, 1.5637, $ 4, 11, 15, 1.5742, $ 5, 11, 17, 1.5423, $ 6, 11, 13, 1.5150 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=397,414) / $ 7, 11, 15, 1.5423, $ 8, 11, 19, 1.5452, $ 9, 11, 11, 1.5290, $ 10, 11, 11, 1.5916, $ 11, 11, 20, 1.5543, $ 12, 11, 11, 1.5512, $ 13, 11, 12, 1.5273, $ 14, 11, 11, 1.6045, $ 15, 11, 16, 1.5329, $ 16, 11, 13, 1.5631, $ 17, 11, 16, 1.5835, $ 18, 11, 14, 1.6074, $ 19, 11, 10, 1.5498, $ 20, 11, 10, 1.5505, $ 21, 11, 14, 1.5801, $ 22, 11, 10, 1.5844, $ 23, 11, 13, 1.5929, $ 24, 11, 9, 1.5910 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=415,432) / $ 25, 11, 13, 1.6152, $ 26, 11, 7, 1.5801, $ 27, 11, 7, 1.5206, $ 28, 11, 14, 1.5563, $ 29, 11, 13, 1.5482, $ 30, 11, 17, 1.5356, $ 31, 11, 15, 1.5629, $ 32, 11, 20, 1.6020, $ 33, 11, 10, 1.6030, $ 34, 11, 11, 1.5643, $ 35, 11, 20, 1.5898, $ 36, 11, 14, 1.5544, $ 37, 11, 18, 1.6278, $ 38, 11, 10, 1.6000, $ 39, 11, 4, 1.6587, $ 1, 12, 16, 1.6420, $ 2, 12, 14, 1.5361, $ 3, 12, 12, 1.5663 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=433,450) / $ 4, 12, 18, 1.5436, $ 5, 12, 14, 1.5397, $ 6, 12, 12, 1.5438, $ 7, 12, 16, 1.5534, $ 8, 12, 9, 1.5269, $ 9, 12, 17, 1.6009, $ 10, 12, 8, 1.5669, $ 11, 12, 10, 1.5634, $ 12, 12, 12, 1.5780, $ 13, 12, 17, 1.5751, $ 14, 12, 14, 1.5266, $ 15, 12, 16, 1.5326, $ 16, 12, 10, 1.5618, $ 17, 12, 13, 1.5550, $ 18, 12, 10, 1.5695, $ 19, 12, 13, 1.5599, $ 20, 12, 16, 1.5548, $ 21, 12, 22, 1.6010 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=451,468) / $ 22, 12, 14, 1.5367, $ 23, 12, 11, 1.5284, $ 24, 12, 14, 1.5196, $ 25, 12, 15, 1.5875, $ 26, 12, 4, 1.4347, $ 27, 12, 8, 1.5374, $ 28, 12, 11, 1.5951, $ 29, 12, 17, 1.5745, $ 30, 12, 16, 1.5856, $ 31, 12, 11, 1.5879, $ 32, 12, 15, 1.6059, $ 33, 12, 10, 1.5278, $ 34, 12, 13, 1.5528, $ 35, 12, 13, 1.5413, $ 36, 12, 13, 1.6128, $ 37, 12, 14, 1.5936, $ 38, 12, 13, 1.5951, $ 39, 12, 7, 1.6093 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=469,486) / $ 1, 13, 16, 1.5453, $ 2, 13, 16, 1.5722, $ 3, 13, 8, 1.6062, $ 4, 13, 10, 1.5253, $ 5, 13, 12, 1.5166, $ 6, 13, 9, 1.5241, $ 7, 13, 12, 1.5450, $ 8, 13, 16, 1.6078, $ 9, 13, 8, 1.4370, $ 10, 13, 20, 1.5539, $ 11, 13, 7, 1.5176, $ 12, 13, 9, 1.5461, $ 13, 13, 12, 1.5358, $ 14, 13, 14, 1.5365, $ 15, 13, 15, 1.4807, $ 16, 13, 14, 1.5114, $ 17, 13, 13, 1.5388, $ 18, 13, 8, 1.4683 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=487,504) / $ 19, 13, 8, 1.5511, $ 20, 13, 12, 1.5647, $ 21, 13, 9, 1.5314, $ 22, 13, 14, 1.5402, $ 23, 13, 12, 1.4586, $ 24, 13, 8, 1.4737, $ 25, 13, 15, 1.5609, $ 26, 13, 8, 1.5385, $ 27, 13, 11, 1.5744, $ 28, 13, 5, 1.5588, $ 29, 13, 12, 1.5824, $ 30, 13, 16, 1.5647, $ 31, 13, 7, 1.5309, $ 32, 13, 13, 1.5473, $ 33, 13, 16, 1.6095, $ 34, 13, 11, 1.5348, $ 35, 13, 15, 1.5804, $ 36, 13, 16, 1.5503 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=505,522) / $ 37, 13, 7, 1.5340, $ 38, 13, 15, 1.5962, $ 39, 13, 11, 1.6303, $ 1, 14, 15, 1.5959, $ 2, 14, 12, 1.5181, $ 3, 14, 19, 1.4818, $ 4, 14, 8, 1.5382, $ 5, 14, 15, 1.4798, $ 6, 14, 13, 1.5505, $ 7, 14, 17, 1.5594, $ 8, 14, 16, 1.5474, $ 9, 14, 7, 1.5017, $ 10, 14, 17, 1.5267, $ 11, 14, 19, 1.5100, $ 12, 14, 19, 1.5471, $ 13, 14, 10, 1.5159, $ 14, 14, 10, 1.5332, $ 15, 14, 14, 1.5287 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=523,540) / $ 16, 14, 13, 1.4714, $ 17, 14, 12, 1.5591, $ 18, 14, 11, 1.5440, $ 19, 14, 20, 1.5345, $ 20, 14, 18, 1.5281, $ 21, 14, 13, 1.5315, $ 22, 14, 17, 1.5399, $ 23, 14, 12, 1.5002, $ 24, 14, 18, 1.5365, $ 25, 14, 16, 1.5456, $ 26, 14, 6, 1.5997, $ 27, 14, 5, 1.5750, $ 28, 14, 13, 1.6642, $ 29, 14, 18, 1.5650, $ 30, 14, 20, 1.5926, $ 31, 14, 14, 1.6075, $ 32, 14, 10, 1.5556, $ 33, 14, 13, 1.5649 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=541,558) / $ 34, 14, 12, 1.6006, $ 35, 14, 10, 1.6366, $ 36, 14, 16, 1.5670, $ 37, 14, 19, 1.5435, $ 38, 14, 11, 1.5102, $ 39, 14, 10, 1.6536, $ 1, 15, 9, 1.5643, $ 2, 15, 8, 1.5165, $ 3, 15, 28, 1.5628, $ 4, 15, 23, 1.5160, $ 5, 15, 11, 1.5021, $ 6, 15, 17, 1.5244, $ 7, 15, 8, 1.5798, $ 8, 15, 19, 1.5278, $ 9, 15, 16, 1.5084, $ 10, 15, 12, 1.4960, $ 11, 15, 9, 1.5928, $ 12, 15, 13, 1.4745 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=559,576) / $ 13, 15, 9, 1.5380, $ 14, 15, 15, 1.4996, $ 15, 15, 15, 1.4279, $ 16, 15, 13, 1.4779, $ 17, 15, 22, 1.4864, $ 18, 15, 15, 1.5487, $ 19, 15, 13, 1.4882, $ 20, 15, 12, 1.4752, $ 21, 15, 19, 1.5762, $ 22, 15, 15, 1.5227, $ 23, 15, 18, 1.5589, $ 24, 15, 14, 1.4720, $ 25, 15, 13, 1.5556, $ 26, 15, 8, 1.5619, $ 27, 15, 8, 1.5851, $ 28, 15, 10, 1.6254, $ 29, 15, 10, 1.5679, $ 30, 15, 13, 1.5728 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=577,594) / $ 31, 15, 14, 1.6576, $ 32, 15, 19, 1.5971, $ 33, 15, 14, 1.6480, $ 34, 15, 11, 1.5618, $ 35, 15, 17, 1.5345, $ 36, 15, 13, 1.5150, $ 37, 15, 13, 1.5525, $ 38, 15, 10, 1.5890, $ 39, 15, 21, 1.6510, $ 1, 16, 7, 1.5471, $ 2, 16, 13, 1.6173, $ 3, 16, 11, 1.5915, $ 4, 16, 11, 1.6316, $ 5, 16, 10, 1.5817, $ 6, 16, 10, 1.5535, $ 7, 16, 20, 1.5423, $ 8, 16, 19, 1.5356, $ 9, 16, 17, 1.4911 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=595,612) / $ 10, 16, 14, 1.5403, $ 11, 16, 19, 1.4965, $ 12, 16, 14, 1.4814, $ 13, 16, 18, 1.4639, $ 14, 16, 11, 1.4876, $ 15, 16, 14, 1.4731, $ 16, 16, 13, 1.5222, $ 17, 16, 11, 1.5215, $ 18, 16, 14, 1.4721, $ 19, 16, 20, 1.4870, $ 20, 16, 19, 1.5174, $ 21, 16, 22, 1.5461, $ 22, 16, 17, 1.5628, $ 23, 16, 21, 1.5911, $ 24, 16, 13, 1.5400, $ 25, 16, 17, 1.5399, $ 26, 16, 4, 1.5640, $ 27, 16, 6, 1.4947 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=613,630) / $ 28, 16, 12, 1.5914, $ 29, 16, 11, 1.5170, $ 30, 16, 19, 1.5556, $ 31, 16, 10, 1.5612, $ 32, 16, 16, 1.5953, $ 33, 16, 14, 1.5774, $ 34, 16, 24, 1.5933, $ 35, 16, 25, 1.5646, $ 36, 16, 13, 1.6195, $ 37, 16, 16, 1.5452, $ 38, 16, 19, 1.6060, $ 39, 16, 13, 1.6206, $ 1, 17, 2, 1.5785, $ 2, 17, 14, 1.6732, $ 3, 17, 8, 1.7270, $ 4, 17, 15, 1.5815, $ 5, 17, 16, 1.5026, $ 6, 17, 15, 1.5585 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=631,648) / $ 7, 17, 17, 1.5485, $ 8, 17, 13, 1.5998, $ 9, 17, 16, 1.5166, $ 10, 17, 17, 1.5408, $ 11, 17, 19, 1.5796, $ 12, 17, 22, 1.5762, $ 13, 17, 11, 1.5151, $ 14, 17, 17, 1.5226, $ 15, 17, 17, 1.5277, $ 16, 17, 12, 1.4648, $ 17, 17, 15, 1.5191, $ 18, 17, 8, 1.5312, $ 19, 17, 18, 1.5168, $ 20, 17, 12, 1.5373, $ 21, 17, 8, 1.5921, $ 22, 17, 13, 1.5334, $ 23, 17, 19, 1.5552, $ 24, 17, 13, 1.4968 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=649,666) / $ 25, 17, 15, 1.5259, $ 26, 17, 9, 1.5927, $ 27, 17, 17, 1.5092, $ 28, 17, 17, 1.5121, $ 29, 17, 7, 1.5971, $ 30, 17, 17, 1.5844, $ 31, 17, 12, 1.5397, $ 32, 17, 11, 1.4955, $ 33, 17, 12, 1.6079, $ 34, 17, 20, 1.5287, $ 35, 17, 14, 1.5644, $ 36, 17, 15, 1.5631, $ 37, 17, 15, 1.5331, $ 38, 17, 11, 1.5459, $ 39, 17, 16, 1.6128, $ 1, 18, 10, 1.5743, $ 2, 18, 13, 1.6370, $ 3, 18, 9, 1.5858 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=667,684) / $ 4, 18, 13, 1.5598, $ 5, 18, 17, 1.4988, $ 6, 18, 14, 1.5326, $ 7, 18, 13, 1.5603, $ 8, 18, 23, 1.5217, $ 9, 18, 14, 1.5749, $ 10, 18, 14, 1.5069, $ 11, 18, 20, 1.4889, $ 12, 18, 8, 1.4702, $ 13, 18, 20, 1.5080, $ 14, 18, 9, 1.4198, $ 15, 18, 11, 1.5266, $ 16, 18, 7, 1.4331, $ 17, 18, 12, 1.5005, $ 18, 18, 13, 1.4882, $ 19, 18, 14, 1.4804, $ 20, 18, 12, 1.5052, $ 21, 18, 11, 1.5044 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=685,702) / $ 22, 18, 19, 1.5154, $ 23, 18, 21, 1.5014, $ 24, 18, 14, 1.4934, $ 25, 18, 11, 1.5835, $ 26, 18, 7, 1.5100, $ 27, 18, 5, 1.5052, $ 28, 18, 10, 1.5668, $ 29, 18, 15, 1.5691, $ 30, 18, 8, 1.5799, $ 31, 18, 18, 1.5379, $ 32, 18, 19, 1.5795, $ 33, 18, 17, 1.5514, $ 34, 18, 23, 1.5586, $ 35, 18, 18, 1.5741, $ 36, 18, 10, 1.5615, $ 37, 18, 13, 1.6011, $ 38, 18, 16, 1.5293, $ 39, 18, 9, 1.5352 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=703,720) / $ 1, 19, 10, 1.6410, $ 2, 19, 16, 1.6441, $ 3, 19, 10, 1.5401, $ 4, 19, 10, 1.4894, $ 5, 19, 15, 1.5107, $ 6, 19, 18, 1.5174, $ 7, 19, 12, 1.4752, $ 8, 19, 13, 1.5385, $ 9, 19, 13, 1.4902, $ 10, 19, 14, 1.4754, $ 11, 19, 16, 1.5159, $ 12, 19, 14, 1.4127, $ 13, 19, 7, 1.4749, $ 14, 19, 16, 1.5050, $ 15, 19, 18, 1.4594, $ 16, 19, 15, 1.4590, $ 17, 19, 17, 1.4855, $ 18, 19, 19, 1.5254 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=721,738) / $ 19, 19, 13, 1.5172, $ 20, 19, 12, 1.4783, $ 21, 19, 19, 1.5323, $ 22, 19, 15, 1.5526, $ 23, 19, 15, 1.5659, $ 24, 19, 26, 1.5263, $ 25, 19, 16, 1.6098, $ 26, 19, 7, 1.5694, $ 27, 19, 9, 1.5507, $ 28, 19, 8, 1.6124, $ 29, 19, 13, 1.5469, $ 30, 19, 18, 1.5266, $ 31, 19, 20, 1.5042, $ 32, 19, 10, 1.5285, $ 33, 19, 15, 1.5571, $ 34, 19, 21, 1.5598, $ 35, 19, 13, 1.5720, $ 36, 19, 16, 1.4901 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=739,756) / $ 37, 19, 16, 1.5306, $ 38, 19, 12, 1.5055, $ 39, 19, 10, 1.5812, $ 1, 20, 17, 1.5838, $ 2, 20, 7, 1.6357, $ 3, 20, 12, 1.5414, $ 4, 20, 19, 1.5572, $ 5, 20, 24, 1.5600, $ 6, 20, 11, 1.5055, $ 7, 20, 17, 1.5141, $ 8, 20, 14, 1.5454, $ 9, 20, 14, 1.5969, $ 10, 20, 12, 1.5011, $ 11, 20, 17, 1.5079, $ 12, 20, 11, 1.4513, $ 13, 20, 19, 1.4953, $ 14, 20, 16, 1.5136, $ 15, 20, 18, 1.4848 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=757,774) / $ 16, 20, 12, 1.5020, $ 17, 20, 9, 1.4484, $ 18, 20, 11, 1.3920, $ 19, 20, 18, 1.4468, $ 20, 20, 21, 1.4630, $ 21, 20, 9, 1.4550, $ 22, 20, 11, 1.4749, $ 23, 20, 17, 1.5410, $ 24, 20, 18, 1.4836, $ 25, 20, 14, 1.5451, $ 26, 20, 8, 1.5767, $ 27, 20, 7, 1.5730, $ 28, 20, 23, 1.5424, $ 29, 20, 10, 1.4813, $ 30, 20, 14, 1.4913, $ 31, 20, 18, 1.5106, $ 32, 20, 14, 1.5269, $ 33, 20, 14, 1.5097 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=775,792) / $ 34, 20, 19, 1.5180, $ 35, 20, 18, 1.5241, $ 36, 20, 14, 1.6004, $ 37, 20, 4, 1.5803, $ 38, 20, 5, 1.6226, $ 39, 20, 7, 1.5519, $ 1, 21, 16, 1.5842, $ 2, 21, 15, 1.5739, $ 3, 21, 15, 1.5798, $ 4, 21, 22, 1.5522, $ 5, 21, 14, 1.4863, $ 6, 21, 17, 1.5051, $ 7, 21, 13, 1.4809, $ 8, 21, 16, 1.4863, $ 9, 21, 20, 1.5598, $ 10, 21, 17, 1.5301, $ 11, 21, 9, 1.4258, $ 12, 21, 13, 1.4395 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=793,810) / $ 13, 21, 11, 1.5123, $ 14, 21, 21, 1.4823, $ 15, 21, 16, 1.4824, $ 16, 21, 13, 1.4114, $ 17, 21, 12, 1.5072, $ 18, 21, 17, 1.4610, $ 19, 21, 14, 1.3956, $ 20, 21, 9, 1.4237, $ 21, 21, 5, 1.4158, $ 22, 21, 10, 1.5072, $ 23, 21, 11, 1.5373, $ 24, 21, 11, 1.5673, $ 25, 21, 10, 1.5710, $ 26, 21, 13, 1.5382, $ 27, 21, 12, 1.4901, $ 28, 21, 15, 1.5291, $ 29, 21, 18, 1.5393, $ 30, 21, 15, 1.4761 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=811,828) / $ 31, 21, 18, 1.5364, $ 32, 21, 17, 1.5508, $ 33, 21, 16, 1.5470, $ 34, 21, 9, 1.5007, $ 35, 21, 19, 1.5292, $ 36, 21, 17, 1.5021, $ 37, 21, 4, 1.4880, $ 38, 21, 9, 1.5198, $ 39, 21, 12, 1.6244, $ 1, 22, 14, 1.6080, $ 2, 22, 3, 1.6470, $ 3, 22, 9, 1.5266, $ 4, 22, 13, 1.5852, $ 5, 22, 14, 1.5140, $ 6, 22, 19, 1.4945, $ 7, 22, 20, 1.5104, $ 8, 22, 17, 1.4731, $ 9, 22, 17, 1.5193 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=829,846) / $ 10, 22, 15, 1.5141, $ 11, 22, 10, 1.5689, $ 12, 22, 17, 1.4735, $ 13, 22, 18, 1.4459, $ 14, 22, 24, 1.5246, $ 15, 22, 16, 1.4872, $ 16, 22, 19, 1.4963, $ 17, 22, 14, 1.4324, $ 18, 22, 6, 1.3848, $ 19, 22, 15, 1.4721, $ 20, 22, 6, 1.4802, $ 21, 22, 8, 1.4595, $ 22, 22, 10, 1.3987, $ 23, 22, 15, 1.5563, $ 24, 22, 19, 1.5455, $ 25, 22, 14, 1.5617, $ 26, 22, 9, 1.5267, $ 27, 22, 16, 1.5324 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=847,864) / $ 28, 22, 19, 1.5146, $ 29, 22, 12, 1.4958, $ 30, 22, 12, 1.4988, $ 31, 22, 15, 1.5074, $ 32, 22, 21, 1.5065, $ 33, 22, 11, 1.5386, $ 34, 22, 22, 1.5202, $ 35, 22, 23, 1.5367, $ 36, 22, 15, 1.5277, $ 37, 22, 14, 1.5641, $ 38, 22, 14, 1.5149, $ 39, 22, 18, 1.5436, $ 1, 23, 15, 1.5696, $ 2, 23, 15, 1.5899, $ 3, 23, 9, 1.5590, $ 4, 23, 14, 1.5473, $ 5, 23, 16, 1.5358, $ 6, 23, 13, 1.4702 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=865,882) / $ 7, 23, 17, 1.4847, $ 8, 23, 16, 1.4833, $ 9, 23, 17, 1.5211, $ 10, 23, 20, 1.4441, $ 11, 23, 13, 1.4628, $ 12, 23, 9, 1.4276, $ 13, 23, 11, 1.4901, $ 14, 23, 11, 1.4637, $ 15, 23, 18, 1.4943, $ 16, 23, 12, 1.4607, $ 17, 23, 14, 1.4629, $ 18, 23, 19, 1.4764, $ 19, 23, 10, 1.4147, $ 20, 23, 12, 1.4622, $ 21, 23, 18, 1.4947, $ 22, 23, 12, 1.5262, $ 23, 23, 20, 1.5660, $ 24, 23, 16, 1.5504 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=883,900) / $ 25, 23, 20, 1.5269, $ 26, 23, 5, 1.5774, $ 27, 23, 9, 1.4469, $ 28, 23, 7, 1.4389, $ 29, 23, 12, 1.4759, $ 30, 23, 12, 1.4673, $ 31, 23, 15, 1.4334, $ 32, 23, 18, 1.4836, $ 33, 23, 21, 1.5174, $ 34, 23, 20, 1.5125, $ 35, 23, 13, 1.4733, $ 36, 23, 20, 1.5022, $ 37, 23, 15, 1.4719, $ 38, 23, 5, 1.4374, $ 39, 23, 18, 1.5511, $ 1, 24, 13, 1.5241, $ 2, 24, 8, 1.6322, $ 3, 24, 16, 1.4935 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=901,918) / $ 4, 24, 16, 1.5696, $ 5, 24, 15, 1.4783, $ 6, 24, 8, 1.5087, $ 7, 24, 16, 1.5506, $ 8, 24, 17, 1.4340, $ 9, 24, 10, 1.5151, $ 10, 24, 19, 1.5208, $ 11, 24, 16, 1.5375, $ 12, 24, 21, 1.4290, $ 13, 24, 14, 1.4759, $ 14, 24, 19, 1.4955, $ 15, 24, 14, 1.5184, $ 16, 24, 16, 1.5314, $ 17, 24, 7, 1.3519, $ 18, 24, 7, 1.4469, $ 19, 24, 13, 1.4900, $ 20, 24, 13, 1.4224, $ 21, 24, 25, 1.5102 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=919,936) / $ 22, 24, 6, 1.4693, $ 23, 24, 17, 1.5046, $ 24, 24, 17, 1.4900, $ 25, 24, 13, 1.4608, $ 26, 24, 10, 1.5103, $ 27, 24, 9, 1.4888, $ 28, 24, 12, 1.4953, $ 29, 24, 22, 1.4856, $ 30, 24, 16, 1.4921, $ 31, 24, 12, 1.4252, $ 32, 24, 16, 1.4858, $ 33, 24, 13, 1.5205, $ 34, 24, 19, 1.5115, $ 35, 24, 8, 1.4522, $ 36, 24, 21, 1.4460, $ 37, 24, 13, 1.4680, $ 38, 24, 13, 1.4709, $ 39, 24, 18, 1.5162 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=937,954) / $ 1, 25, 13, 1.5993, $ 2, 25, 12, 1.5511, $ 3, 25, 15, 1.5275, $ 4, 25, 11, 1.5297, $ 5, 25, 12, 1.5765, $ 6, 25, 20, 1.5503, $ 7, 25, 16, 1.4376, $ 8, 25, 19, 1.4851, $ 9, 25, 18, 1.5127, $ 10, 25, 13, 1.5322, $ 11, 25, 13, 1.4693, $ 12, 25, 14, 1.4931, $ 13, 25, 8, 1.4537, $ 14, 25, 14, 1.4941, $ 15, 25, 7, 1.4364, $ 16, 25, 18, 1.4782, $ 17, 25, 15, 1.4061, $ 18, 25, 15, 1.4444 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=955,972) / $ 19, 25, 9, 1.4143, $ 20, 25, 21, 1.4861, $ 21, 25, 16, 1.4447, $ 22, 25, 15, 1.4806, $ 23, 25, 13, 1.5175, $ 24, 25, 19, 1.4633, $ 25, 25, 22, 1.4696, $ 26, 25, 12, 1.4715, $ 27, 25, 18, 1.4260, $ 28, 25, 9, 1.5290, $ 29, 25, 10, 1.3719, $ 30, 25, 14, 1.5036, $ 31, 25, 19, 1.4582, $ 32, 25, 11, 1.4585, $ 33, 25, 15, 1.4474, $ 34, 25, 16, 1.5197, $ 35, 25, 9, 1.4892, $ 36, 25, 13, 1.5140 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=973,990) / $ 37, 25, 9, 1.4482, $ 38, 25, 11, 1.5155, $ 39, 25, 29, 1.4696, $ 1, 26, 10, 1.5457, $ 2, 26, 12, 1.5992, $ 3, 26, 15, 1.5137, $ 4, 26, 15, 1.5403, $ 5, 26, 11, 1.5358, $ 6, 26, 15, 1.5167, $ 7, 26, 15, 1.4721, $ 8, 26, 12, 1.4867, $ 9, 26, 22, 1.5649, $ 10, 26, 10, 1.5494, $ 11, 26, 16, 1.4422, $ 12, 26, 22, 1.4772, $ 13, 26, 17, 1.4663, $ 14, 26, 9, 1.5036, $ 15, 26, 12, 1.4780 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=991,1008) / $ 16, 26, 12, 1.4426, $ 17, 26, 15, 1.4973, $ 18, 26, 14, 1.4519, $ 19, 26, 13, 1.4499, $ 20, 26, 17, 1.4914, $ 21, 26, 26, 1.4575, $ 22, 26, 15, 1.4722, $ 23, 26, 25, 1.4258, $ 24, 26, 18, 1.4809, $ 25, 26, 16, 1.4901, $ 26, 26, 8, 1.4914, $ 27, 26, 11, 1.4122, $ 28, 26, 15, 1.4524, $ 29, 26, 21, 1.4836, $ 30, 26, 23, 1.4796, $ 31, 26, 15, 1.4142, $ 32, 26, 17, 1.5245, $ 33, 26, 19, 1.4606 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1009,1026) / $ 34, 26, 19, 1.4753, $ 35, 26, 19, 1.5024, $ 36, 26, 19, 1.4627, $ 37, 26, 23, 1.4372, $ 38, 26, 18, 1.4476, $ 39, 26, 20, 1.4878, $ 1, 27, 13, 1.5357, $ 2, 27, 20, 1.5259, $ 3, 27, 9, 1.5027, $ 4, 27, 14, 1.5426, $ 5, 27, 11, 1.5351, $ 6, 27, 21, 1.4683, $ 7, 27, 10, 1.4810, $ 8, 27, 18, 1.5449, $ 9, 27, 18, 1.4837, $ 10, 27, 11, 1.4635, $ 11, 27, 17, 1.5135, $ 12, 27, 17, 1.5398 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1027,1044) / $ 13, 27, 18, 1.5242, $ 14, 27, 13, 1.5047, $ 15, 27, 18, 1.4894, $ 16, 27, 20, 1.4946, $ 17, 27, 14, 1.4614, $ 18, 27, 19, 1.4864, $ 19, 27, 12, 1.4057, $ 20, 27, 15, 1.4289, $ 21, 27, 18, 1.4669, $ 22, 27, 14, 1.4631, $ 23, 27, 16, 1.4380, $ 24, 27, 17, 1.4285, $ 25, 27, 19, 1.4609, $ 26, 27, 11, 1.5115, $ 27, 27, 9, 1.5318, $ 28, 27, 28, 1.4789, $ 29, 27, 14, 1.4033, $ 30, 27, 13, 1.4824 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1045,1062) / $ 31, 27, 32, 1.5021, $ 32, 27, 16, 1.5191, $ 33, 27, 15, 1.5301, $ 34, 27, 18, 1.4882, $ 35, 27, 14, 1.4569, $ 36, 27, 18, 1.4773, $ 37, 27, 15, 1.4905, $ 38, 27, 12, 1.4104, $ 39, 27, 12, 1.4335, $ 1, 28, 13, 1.4886, $ 2, 28, 22, 1.5296, $ 3, 28, 25, 1.5134, $ 4, 28, 18, 1.4733, $ 5, 28, 13, 1.4587, $ 6, 28, 16, 1.4514, $ 7, 28, 20, 1.4538, $ 8, 28, 21, 1.5239, $ 9, 28, 16, 1.5143 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1063,1080) / $ 10, 28, 19, 1.4551, $ 11, 28, 15, 1.4679, $ 12, 28, 20, 1.4825, $ 13, 28, 10, 1.4676, $ 14, 28, 15, 1.4697, $ 15, 28, 16, 1.4965, $ 16, 28, 18, 1.4915, $ 17, 28, 21, 1.4551, $ 18, 28, 13, 1.4629, $ 19, 28, 16, 1.4675, $ 20, 28, 18, 1.4546, $ 21, 28, 23, 1.4955, $ 22, 28, 17, 1.4355, $ 23, 28, 25, 1.4231, $ 24, 28, 26, 1.4513, $ 25, 28, 14, 1.4689, $ 26, 28, 14, 1.4466, $ 27, 28, 13, 1.4946 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1081,1098) / $ 28, 28, 11, 1.5006, $ 29, 28, 9, 1.5034, $ 30, 28, 21, 1.5066, $ 31, 28, 17, 1.4636, $ 32, 28, 17, 1.5292, $ 33, 28, 20, 1.4871, $ 34, 28, 24, 1.5467, $ 35, 28, 19, 1.4953, $ 36, 28, 15, 1.4853, $ 37, 28, 22, 1.4700, $ 38, 28, 14, 1.4752, $ 39, 28, 14, 1.4636, $ 1, 29, 14, 1.5581, $ 2, 29, 8, 1.5422, $ 3, 29, 21, 1.5381, $ 4, 29, 16, 1.5380, $ 5, 29, 17, 1.5304, $ 6, 29, 18, 1.5284 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1099,1116) / $ 7, 29, 19, 1.4601, $ 8, 29, 15, 1.4743, $ 9, 29, 15, 1.4917, $ 10, 29, 14, 1.4641, $ 11, 29, 15, 1.4378, $ 12, 29, 14, 1.5619, $ 13, 29, 12, 1.4700, $ 14, 29, 13, 1.4726, $ 15, 29, 13, 1.4312, $ 16, 29, 19, 1.4808, $ 17, 29, 17, 1.4676, $ 18, 29, 20, 1.4379, $ 19, 29, 18, 1.4827, $ 20, 29, 19, 1.4550, $ 21, 29, 17, 1.4363, $ 22, 29, 25, 1.4401, $ 23, 29, 22, 1.4913, $ 24, 29, 15, 1.4519 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1117,1134) / $ 25, 29, 23, 1.4942, $ 26, 29, 9, 1.4249, $ 27, 29, 7, 1.4836, $ 28, 29, 16, 1.4503, $ 29, 29, 20, 1.4401, $ 30, 29, 10, 1.4409, $ 31, 29, 17, 1.5262, $ 32, 29, 14, 1.4716, $ 33, 29, 20, 1.5149, $ 34, 29, 18, 1.4776, $ 35, 29, 16, 1.4865, $ 36, 29, 19, 1.5078, $ 37, 29, 9, 1.4567, $ 38, 29, 16, 1.4853, $ 39, 29, 16, 1.4869, $ 1, 30, 12, 1.5332, $ 2, 30, 13, 1.5120, $ 3, 30, 18, 1.4851 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1135,1152) / $ 4, 30, 11, 1.5357, $ 5, 30, 17, 1.5051, $ 6, 30, 16, 1.5298, $ 7, 30, 19, 1.5183, $ 8, 30, 20, 1.4686, $ 9, 30, 13, 1.4569, $ 10, 30, 24, 1.4735, $ 11, 30, 14, 1.4809, $ 12, 30, 16, 1.5011, $ 13, 30, 13, 1.4534, $ 14, 30, 12, 1.4910, $ 15, 30, 10, 1.4683, $ 16, 30, 11, 1.4179, $ 17, 30, 14, 1.4385, $ 18, 30, 12, 1.4484, $ 19, 30, 20, 1.4972, $ 20, 30, 16, 1.5113, $ 21, 30, 12, 1.4063 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1153,1170) / $ 22, 30, 20, 1.4248, $ 23, 30, 20, 1.4412, $ 24, 30, 22, 1.4414, $ 25, 30, 24, 1.4870, $ 26, 30, 7, 1.4366, $ 27, 30, 15, 1.4550, $ 28, 30, 11, 1.4434, $ 29, 30, 26, 1.4702, $ 30, 30, 21, 1.4378, $ 31, 30, 16, 1.4531, $ 32, 30, 21, 1.4629, $ 33, 30, 26, 1.4554, $ 34, 30, 14, 1.5467, $ 35, 30, 17, 1.4928, $ 36, 30, 16, 1.4906, $ 37, 30, 8, 1.4671, $ 38, 30, 16, 1.4147, $ 39, 30, 19, 1.5031 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1171,1188) / $ 1, 31, 11, 1.5458, $ 2, 31, 12, 1.5066, $ 3, 31, 16, 1.5543, $ 4, 31, 17, 1.5228, $ 5, 31, 19, 1.5689, $ 6, 31, 15, 1.4743, $ 7, 31, 18, 1.5337, $ 8, 31, 16, 1.5636, $ 9, 31, 18, 1.4316, $ 10, 31, 18, 1.5123, $ 11, 31, 16, 1.5006, $ 12, 31, 16, 1.4671, $ 13, 31, 13, 1.4474, $ 14, 31, 18, 1.4798, $ 15, 31, 12, 1.4782, $ 16, 31, 17, 1.4553, $ 17, 31, 15, 1.4444, $ 18, 31, 10, 1.5025 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1189,1206) / $ 19, 31, 13, 1.4272, $ 20, 31, 12, 1.4757, $ 21, 31, 20, 1.4543, $ 22, 31, 18, 1.4686, $ 23, 31, 20, 1.4389, $ 24, 31, 24, 1.4580, $ 25, 31, 22, 1.4773, $ 26, 31, 9, 1.3796, $ 27, 31, 12, 1.3960, $ 28, 31, 15, 1.4188, $ 29, 31, 11, 1.4638, $ 30, 31, 17, 1.4923, $ 31, 31, 28, 1.4725, $ 32, 31, 23, 1.4784, $ 33, 31, 10, 1.4646, $ 34, 31, 16, 1.5011, $ 35, 31, 21, 1.5480, $ 36, 31, 18, 1.4428 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1207,1224) / $ 37, 31, 22, 1.5226, $ 38, 31, 11, 1.4559, $ 39, 31, 19, 1.4974, $ 1, 32, 12, 1.5081, $ 2, 32, 14, 1.4979, $ 3, 32, 16, 1.5089, $ 4, 32, 23, 1.5535, $ 5, 32, 15, 1.5054, $ 6, 32, 4, 1.4863, $ 7, 32, 21, 1.5303, $ 8, 32, 15, 1.5125, $ 9, 32, 11, 1.5052, $ 10, 32, 12, 1.4188, $ 11, 32, 20, 1.4737, $ 12, 32, 18, 1.4930, $ 13, 32, 17, 1.4547, $ 14, 32, 17, 1.4575, $ 15, 32, 20, 1.4532 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1225,1242) / $ 16, 32, 14, 1.4433, $ 17, 32, 18, 1.4641, $ 18, 32, 22, 1.4736, $ 19, 32, 18, 1.4893, $ 20, 32, 12, 1.4830, $ 21, 32, 21, 1.4964, $ 22, 32, 12, 1.4505, $ 23, 32, 15, 1.4671, $ 24, 32, 24, 1.4649, $ 25, 32, 20, 1.4559, $ 26, 32, 8, 1.3764, $ 27, 32, 12, 1.4502, $ 28, 32, 18, 1.4108, $ 29, 32, 17, 1.4922, $ 30, 32, 15, 1.4786, $ 31, 32, 23, 1.4750, $ 32, 32, 20, 1.5132, $ 33, 32, 13, 1.4942 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1243,1260) / $ 34, 32, 24, 1.5189, $ 35, 32, 15, 1.4947, $ 36, 32, 21, 1.5199, $ 37, 32, 15, 1.5056, $ 38, 32, 18, 1.5081, $ 39, 32, 14, 1.4763, $ 1, 33, 7, 1.5146, $ 2, 33, 14, 1.4813, $ 3, 33, 20, 1.5091, $ 4, 33, 13, 1.5548, $ 5, 33, 9, 1.5491, $ 6, 33, 7, 1.5651, $ 7, 33, 15, 1.5136, $ 8, 33, 15, 1.5165, $ 9, 33, 16, 1.4939, $ 10, 33, 9, 1.4328, $ 11, 33, 14, 1.4614, $ 12, 33, 15, 1.4789 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1261,1278) / $ 13, 33, 13, 1.5205, $ 14, 33, 14, 1.4559, $ 15, 33, 18, 1.4484, $ 16, 33, 3, 1.4750, $ 17, 33, 7, 1.5560, $ 18, 33, 19, 1.5127, $ 19, 33, 12, 1.4786, $ 20, 33, 15, 1.5020, $ 21, 33, 15, 1.4513, $ 22, 33, 25, 1.4666, $ 23, 33, 20, 1.4742, $ 24, 33, 14, 1.4450, $ 25, 33, 16, 1.4717, $ 26, 33, 6, 1.4347, $ 27, 33, 17, 1.4371, $ 28, 33, 16, 1.4473, $ 29, 33, 14, 1.4935, $ 30, 33, 19, 1.5567 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1279,1296) / $ 31, 33, 17, 1.5271, $ 32, 33, 18, 1.4889, $ 33, 33, 11, 1.6294, $ 34, 33, 20, 1.5843, $ 35, 33, 16, 1.5899, $ 36, 33, 15, 1.5609, $ 37, 33, 16, 1.4906, $ 38, 33, 17, 1.4864, $ 39, 33, 15, 1.4985, $ 1, 34, 13, 1.5359, $ 2, 34, 10, 1.5253, $ 3, 34, 9, 1.5694, $ 4, 34, 12, 1.4612, $ 5, 34, 18, 1.5262, $ 6, 34, 19, 1.5573, $ 7, 34, 20, 1.5335, $ 8, 34, 15, 1.4910, $ 9, 34, 13, 1.4584 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1297,1314) / $ 10, 34, 22, 1.4827, $ 11, 34, 16, 1.5194, $ 12, 34, 14, 1.4180, $ 13, 34, 17, 1.4650, $ 14, 34, 8, 1.4490, $ 15, 34, 17, 1.4261, $ 16, 34, 21, 1.4734, $ 17, 34, 18, 1.4666, $ 18, 34, 17, 1.5159, $ 19, 34, 16, 1.5037, $ 20, 34, 17, 1.4901, $ 21, 34, 11, 1.4431, $ 22, 34, 17, 1.4419, $ 23, 34, 19, 1.4706, $ 24, 34, 16, 1.4429, $ 25, 34, 19, 1.3816, $ 26, 34, 8, 1.4047, $ 27, 34, 15, 1.4652 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1315,1332) / $ 28, 34, 15, 1.4294, $ 29, 34, 19, 1.4786, $ 30, 34, 13, 1.5114, $ 31, 34, 14, 1.4993, $ 32, 34, 13, 1.5798, $ 33, 34, 8, 1.6860, $ 34, 34, 7, 1.6533, $ 35, 34, 7, 1.6323, $ 36, 34, 17, 1.6162, $ 37, 34, 18, 1.5327, $ 38, 34, 16, 1.5364, $ 39, 34, 15, 1.4757, $ 1, 35, 8, 1.4950, $ 2, 35, 12, 1.5317, $ 3, 35, 12, 1.4912, $ 4, 35, 12, 1.4422, $ 5, 35, 9, 1.4194, $ 6, 35, 15, 1.5297 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1333,1350) / $ 7, 35, 18, 1.5299, $ 8, 35, 17, 1.4571, $ 9, 35, 18, 1.4830, $ 10, 35, 18, 1.4836, $ 11, 35, 13, 1.4215, $ 12, 35, 8, 1.4931, $ 13, 35, 20, 1.4220, $ 14, 35, 15, 1.4650, $ 15, 35, 13, 1.4582, $ 16, 35, 21, 1.4696, $ 17, 35, 22, 1.4705, $ 18, 35, 17, 1.4503, $ 19, 35, 10, 1.4898, $ 20, 35, 10, 1.4842, $ 21, 35, 19, 1.4705, $ 22, 35, 10, 1.5396, $ 23, 35, 14, 1.4727, $ 24, 35, 23, 1.4187 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1351,1368) / $ 25, 35, 13, 1.4776, $ 26, 35, 10, 1.4177, $ 27, 35, 14, 1.4436, $ 28, 35, 21, 1.4974, $ 29, 35, 17, 1.4343, $ 30, 35, 14, 1.5123, $ 31, 35, 20, 1.5113, $ 32, 35, 7, 1.5393, $ 33, 35, 15, 1.6549, $ 34, 35, 13, 1.6250, $ 35, 35, 13, 1.6979, $ 36, 35, 13, 1.6782, $ 37, 35, 19, 1.5637, $ 38, 35, 11, 1.5190, $ 39, 35, 11, 1.5417, $ 1, 36, 15, 1.5161, $ 2, 36, 14, 1.4836, $ 3, 36, 10, 1.5052 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1369,1386) / $ 4, 36, 12, 1.5327, $ 5, 36, 17, 1.5574, $ 6, 36, 10, 1.5385, $ 7, 36, 18, 1.5181, $ 8, 36, 18, 1.4752, $ 9, 36, 21, 1.4843, $ 10, 36, 17, 1.4896, $ 11, 36, 19, 1.4634, $ 12, 36, 16, 1.4663, $ 13, 36, 14, 1.4626, $ 14, 36, 12, 1.4860, $ 15, 36, 10, 1.3896, $ 16, 36, 19, 1.4753, $ 17, 36, 9, 1.4404, $ 18, 36, 17, 1.5322, $ 19, 36, 13, 1.5005, $ 20, 36, 17, 1.5221, $ 21, 36, 15, 1.4871 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1387,1404) / $ 22, 36, 10, 1.4356, $ 23, 36, 16, 1.4408, $ 24, 36, 16, 1.4015, $ 25, 36, 21, 1.4164, $ 26, 36, 8, 1.4626, $ 27, 36, 5, 1.4198, $ 28, 36, 16, 1.4469, $ 29, 36, 21, 1.4507, $ 30, 36, 15, 1.5659, $ 31, 36, 10, 1.5532, $ 32, 36, 14, 1.4929, $ 33, 36, 20, 1.6137, $ 34, 36, 9, 1.4934, $ 35, 36, 10, 1.5254, $ 36, 36, 16, 1.5288, $ 37, 36, 22, 1.5252, $ 38, 36, 16, 1.4541, $ 39, 36, 12, 1.5086 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1405,1422) / $ 1, 37, 15, 1.5295, $ 2, 37, 14, 1.5130, $ 3, 37, 16, 1.4918, $ 4, 37, 14, 1.4708, $ 5, 37, 15, 1.5115, $ 6, 37, 12, 1.4630, $ 7, 37, 22, 1.5543, $ 8, 37, 18, 1.4944, $ 9, 37, 18, 1.5078, $ 10, 37, 12, 1.4672, $ 11, 37, 15, 1.3979, $ 12, 37, 18, 1.4476, $ 13, 37, 16, 1.4517, $ 14, 37, 16, 1.4667, $ 15, 37, 13, 1.5128, $ 16, 37, 17, 1.4762, $ 17, 37, 19, 1.4680, $ 18, 37, 6, 1.4540 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1423,1440) / $ 19, 37, 20, 1.5164, $ 20, 37, 21, 1.5048, $ 21, 37, 7, 1.4916, $ 22, 37, 19, 1.5133, $ 23, 37, 13, 1.4502, $ 24, 37, 16, 1.4850, $ 25, 37, 14, 1.4941, $ 26, 37, 9, 1.5119, $ 27, 37, 7, 1.4729, $ 28, 37, 16, 1.4601, $ 29, 37, 17, 1.4632, $ 30, 37, 14, 1.4899, $ 31, 37, 22, 1.6614, $ 32, 37, 13, 1.5459, $ 33, 37, 15, 1.5853, $ 34, 37, 16, 1.5697, $ 35, 37, 13, 1.5338, $ 36, 37, 20, 1.4964 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1441,1458) / $ 37, 37, 20, 1.5548, $ 38, 37, 13, 1.4898, $ 39, 37, 16, 1.5816, $ 1, 38, 13, 1.5315, $ 2, 38, 14, 1.5406, $ 3, 38, 14, 1.5081, $ 4, 38, 16, 1.4501, $ 5, 38, 15, 1.5029, $ 6, 38, 22, 1.4975, $ 7, 38, 20, 1.5074, $ 8, 38, 9, 1.4596, $ 9, 38, 21, 1.5095, $ 10, 38, 19, 1.4874, $ 11, 38, 16, 1.4310, $ 12, 38, 19, 1.4376, $ 13, 38, 14, 1.4624, $ 14, 38, 14, 1.4576, $ 15, 38, 15, 1.5225 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1459,1476) / $ 16, 38, 17, 1.5174, $ 17, 38, 16, 1.4926, $ 18, 38, 13, 1.4548, $ 19, 38, 16, 1.4555, $ 20, 38, 14, 1.4734, $ 21, 38, 20, 1.4312, $ 22, 38, 23, 1.4671, $ 23, 38, 14, 1.5173, $ 24, 38, 17, 1.4636, $ 25, 38, 7, 1.4626, $ 26, 38, 8, 1.4871, $ 27, 38, 15, 1.4999, $ 28, 38, 16, 1.4959, $ 29, 38, 17, 1.4941, $ 30, 38, 10, 1.5998, $ 31, 38, 11, 1.5788, $ 32, 38, 11, 1.5770, $ 33, 38, 19, 1.4912 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1477,1494) / $ 34, 38, 27, 1.5186, $ 35, 38, 13, 1.4584, $ 36, 38, 21, 1.4644, $ 37, 38, 18, 1.4948, $ 38, 38, 19, 1.5021, $ 39, 38, 14, 1.5103, $ 1, 39, 15, 1.5455, $ 2, 39, 18, 1.5254, $ 3, 39, 27, 1.5038, $ 4, 39, 12, 1.5243, $ 5, 39, 14, 1.5599, $ 6, 39, 17, 1.4961, $ 7, 39, 15, 1.5208, $ 8, 39, 9, 1.4334, $ 9, 39, 22, 1.4867, $ 10, 39, 20, 1.4692, $ 11, 39, 15, 1.4593, $ 12, 39, 8, 1.4599 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1495,1512) / $ 13, 39, 14, 1.4647, $ 14, 39, 17, 1.5346, $ 15, 39, 14, 1.5176, $ 16, 39, 15, 1.5304, $ 17, 39, 12, 1.4896, $ 18, 39, 17, 1.3963, $ 19, 39, 12, 1.4585, $ 20, 39, 14, 1.4180, $ 21, 39, 16, 1.4449, $ 22, 39, 11, 1.5366, $ 23, 39, 18, 1.4519, $ 24, 39, 16, 1.4368, $ 25, 39, 14, 1.4531, $ 26, 39, 11, 1.5224, $ 27, 39, 10, 1.4775, $ 28, 39, 6, 1.5750, $ 29, 39, 22, 1.4928, $ 30, 39, 10, 1.4790 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1513,1530) / $ 31, 39, 21, 1.5268, $ 32, 39, 20, 1.5120, $ 33, 39, 16, 1.5512, $ 34, 39, 17, 1.4341, $ 35, 39, 11, 1.5099, $ 36, 39, 21, 1.4623, $ 37, 39, 19, 1.4662, $ 38, 39, 17, 1.4595, $ 39, 39, 19, 1.5257, $ 1, 40, 5, 1.5566, $ 2, 40, 16, 1.5044, $ 3, 40, 18, 1.4998, $ 4, 40, 10, 1.4154, $ 5, 40, 19, 1.5018, $ 6, 40, 19, 1.4725, $ 7, 40, 15, 1.5015, $ 8, 40, 9, 1.4502, $ 9, 40, 16, 1.5321 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1531,1548) / $ 10, 40, 13, 1.4438, $ 11, 40, 21, 1.4437, $ 12, 40, 19, 1.4197, $ 13, 40, 18, 1.4553, $ 14, 40, 22, 1.4673, $ 15, 40, 11, 1.5059, $ 16, 40, 16, 1.5293, $ 17, 40, 17, 1.4599, $ 18, 40, 16, 1.4735, $ 19, 40, 12, 1.4905, $ 20, 40, 25, 1.4671, $ 21, 40, 8, 1.5596, $ 22, 40, 15, 1.4715, $ 23, 40, 15, 1.4722, $ 24, 40, 15, 1.4257, $ 25, 40, 21, 1.4739, $ 26, 40, 10, 1.4378, $ 27, 40, 5, 1.4070 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1549,1566) / $ 28, 40, 10, 1.5228, $ 29, 40, 15, 1.5590, $ 30, 40, 14, 1.5128, $ 31, 40, 18, 1.6008, $ 32, 40, 24, 1.5215, $ 33, 40, 29, 1.5036, $ 34, 40, 14, 1.4452, $ 35, 40, 16, 1.4559, $ 36, 40, 25, 1.4518, $ 37, 40, 16, 1.4463, $ 38, 40, 12, 1.4450, $ 39, 40, 19, 1.4647, $ 1, 41, 16, 1.5099, $ 2, 41, 21, 1.4891, $ 3, 41, 12, 1.4847, $ 4, 41, 3, 1.3570, $ 5, 41, 19, 1.4655, $ 6, 41, 17, 1.4613 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1567,1584) / $ 7, 41, 19, 1.3955, $ 8, 41, 15, 1.4456, $ 9, 41, 12, 1.4759, $ 10, 41, 19, 1.4885, $ 11, 41, 17, 1.4687, $ 12, 41, 19, 1.4517, $ 13, 41, 15, 1.4169, $ 14, 41, 17, 1.4165, $ 15, 41, 17, 1.4125, $ 16, 41, 15, 1.4932, $ 17, 41, 12, 1.4543, $ 18, 41, 18, 1.4884, $ 19, 41, 11, 1.4574, $ 20, 41, 24, 1.5067, $ 21, 41, 19, 1.4662, $ 22, 41, 9, 1.5432, $ 23, 41, 20, 1.4627, $ 24, 41, 17, 1.4705 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1585,1602) / $ 25, 41, 18, 1.4846, $ 26, 41, 8, 1.4985, $ 27, 41, 13, 1.5083, $ 28, 41, 14, 1.5349, $ 29, 41, 9, 1.4647, $ 30, 41, 13, 1.5421, $ 31, 41, 15, 1.5109, $ 32, 41, 17, 1.4392, $ 33, 41, 20, 1.5038, $ 34, 41, 23, 1.4889, $ 35, 41, 17, 1.4268, $ 36, 41, 15, 1.3719, $ 37, 41, 18, 1.4548, $ 38, 41, 24, 1.4060, $ 39, 41, 16, 1.5039, $ 1, 42, 12, 1.5143, $ 2, 42, 12, 1.4702, $ 3, 42, 17, 1.4235 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1603,1620) / $ 4, 42, 17, 1.4471, $ 5, 42, 18, 1.4578, $ 6, 42, 23, 1.4110, $ 7, 42, 12, 1.4827, $ 8, 42, 15, 1.4129, $ 9, 42, 14, 1.5065, $ 10, 42, 12, 1.4658, $ 11, 42, 23, 1.4327, $ 12, 42, 16, 1.4408, $ 13, 42, 14, 1.4391, $ 14, 42, 16, 1.4243, $ 15, 42, 15, 1.4577, $ 16, 42, 24, 1.4752, $ 17, 42, 11, 1.4744, $ 18, 42, 16, 1.4426, $ 19, 42, 10, 1.4807, $ 20, 42, 12, 1.5106, $ 21, 42, 13, 1.4722 / data (ixtab(i),iytab(i),nvtab(i),vtab(i),i=1621,1638) / $ 22, 42, 22, 1.4628, $ 23, 42, 20, 1.4114, $ 24, 42, 16, 1.4744, $ 25, 42, 10, 1.4758, $ 26, 42, 4, 1.4822, $ 27, 42, 2, 1.6720, $ 28, 42, 10, 1.5131, $ 29, 42, 6, 1.4842, $ 30, 42, 14, 1.4952, $ 31, 42, 15, 1.5285, $ 32, 42, 20, 1.4862, $ 33, 42, 14, 1.4504, $ 34, 42, 16, 1.4506, $ 35, 42, 15, 1.4931, $ 36, 42, 19, 1.4609, $ 37, 42, 16, 1.5170, $ 38, 42, 21, 1.4420, $ 39, 42, 14, 1.4861 / end