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Sourcecode: octave3.2 version File versions

test_io.m

## Copyright (C) 2006, 2007, 2008, 2009 John W. Eaton
##
## This file is part of Octave.
##
## Octave is free software; you can redistribute it and/or modify it
## under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 3 of the License, or (at
## your option) any later version.
##
## Octave is distributed in the hope that it will be useful, but
## WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
## General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with Octave; see the file COPYING.  If not, see
## <http://www.gnu.org/licenses/>.

## FIXME -- we should skip (or mark as an expected failure) the test for
## saving sparse matrices to MAT files when using 64-bit indexing since
## that is not implemented yet.

%% test/octave.test/io/load-save.m
%!function [ret, files] = testls (input)
%!  ## flag a1 global so as to test the storage of global flags
%!  global a1;
%!
%!  ## Input or output, so as to be able to exchange between versions
%!  if (nargin < 1)
%!    input = 0;
%!  endif
%!
%!  ## Setup some variable to be saved or compared to loaded variables
%!
%!  ## scalar
%!  a1 = 1;
%!  ## matrix
%!  persistent a2 = hilb(3);
%!  ## complex scalar
%!  persistent a3 = 1 + 1i;
%!  ## complex matrix
%!  persistent a4 = hilb(3) + 1i*hilb(3);
%!  ## bool
%!  persistent a5 = (1 == 1);
%!  ## bool matrix
%!  persistent a6 = ( == ones(1,10));
%!  ## range
%!  persistent a7 = 1:10;
%!  ## structure
%!  persistent a8 = struct ("a", a1, "b", a3);
%!  ## cell array
%!  persistent a9 = {a1, a3};
%!  ## string
%!  persistent a10 = ;
%!  ## int8 array
%!  persistent a11 = int8(floor(256*rand(2,2)));
%!  ## int16 array
%!  persistent a12 = int16(floor(65536*rand(2,2)));
%!  ## int32 array
%!  persistent a13 = int32(floor(1e6*rand(2,2)));
%!  ## int64 array
%!  persistent a14 = int64(floor(10*rand(2,2)));
%!  ## uint8 array
%!  persistent a15 = uint8(floor(256*rand(2,2)));
%!  ## uint16 array
%!  persistent a16 = uint16(floor(65536*rand(2,2)));
%!  ## int32 array
%!  persistent a17 = uint32(floor(1e6*rand(2,2)));
%!  ## uint64 array
%!  persistent a18 = uint64(floor(10*rand(2,2)));
%!  ## sparse
%!  persistent a19 = sprandn(100,100,0.01);
%!  ## complex sparse
%!  persistent a20 = sprandn(100,100,0.01) + 1i * sprandn(100,100,0.01);
%!
%!  ret = 0;
%!
%!  files = {"text.mat", "binary.mat", "mat5.mat", "mat7.mat"};
%!  opts = {"-z -text", "-z -binary", "-z -mat", "-v7"};
%!  tols = {2*eps, 0, 0, 0};
%!
%!  vars = "a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 a11 a12 a13 a14 a15 a16 a17 a18 a19 a20";
%!  if (! input)
%!    for i = 1:length (files)
%!      eval (sprintf ("save %s %s %s", opts{i}, files{i}, vars));
%!    endfor
%!  else
%!    b1 = a1; b2 = a2; b3 = a3; b4 = a4; b5 = a5;
%!    b6 = a6; b7 = a7; b8 = a8; b9 = a9;
%!    b10 = a10; b11 = a11; b12 = a12; b13 = a13; b14 = a14; b15 = a15;
%!    b16 = a16; b17 = a17; b18 = a18; b19 = a19; b20 = a20;
%!
%!    for i = length (files)
%!
%!      clear a1 a2 a3 a4 a5 a6 a7 a8 a9 a10 a11 a12 a13 a14 a15 a16 a17 a19 a20;
%!
%!      file = files{i};
%!      tol = tols{i};
%!
%!      load (file);
%!
%!      assert (a1, b1, tol);
%!      assert (a2, b2, tol);
%!      assert (a3, b3, tol);
%!      assert (a4, b4, tol);
%!
%!      if (! isequal (a5, b5))
%!      error ("failed: %s boolean", file);
%!      endif
%!
%!      if (! strcmp (file, "mat5") && ! strcmp (file, "mat7"))
%!        if (! isequal (a6, b6))
%!        error ("failed: %s boolean matrix", file);
%!        endif
%!      endif
%!
%!      assert ([a7], [b7], tol);
%!
%!      if (! isequal (a8, b8))
%!      error ("failed: %s struct", file);
%!      endif
%!      
%!      if (! isequal (a9, b9))
%!      error ("failed: %s cell", file);
%!      endif
%!      
%!      if (! isequal (a10, b10))
%!      error ("failed: %s string", file);
%!      endif
%!
%!      if (! isequal (a11, b11))
%!      error ("failed: %s int8", file);
%!      endif
%!
%!      if (! isequal (a12, b12))
%!      error ("failed: %s int16", file);
%!      endif
%!
%!      if (! isequal (a13, b13))
%!      error ("failed: %s int32", file);
%!      endif
%!
%!      if (! isequal (a14, b14))
%!      error ("failed: %s int64", file);
%!      endif
%!
%!      if (! isequal (a15, b15))
%!      error ("failed: %s uint8", file);
%!      endif
%!
%!      if (! isequal (a16, b16))
%!      error ("failed: %s uint16", file);
%!      endif
%!
%!      if (! isequal (a17, b17))
%!      error ("failed: %s uint32", file);
%!      endif
%!
%!      if (! isequal (a18, b18))
%!      error ("failed: %s uint64", file);
%!      endif
%!
%!      assert (a19, b19, tol);
%!      assert (a20, b20, tol);
%!
%!      ## Test for global flags
%!      if (! isglobal ("a1") || isglobal ("a2") || isglobal ("a3")
%!          || isglobal ("a4") || isglobal ("a5") || isglobal ("a6")
%!          || isglobal ("a7") || isglobal ("a8") || isglobal ("a9")
%!          || isglobal ("a10") || isglobal ("a11") || isglobal ("a12")
%!          || isglobal ("a13") || isglobal ("a14") || isglobal ("a15")
%!          || isglobal ("a16") || isglobal ("a17") || isglobal ("a18")
%!          || isglobal ("a19") || isglobal ("a20"))
%!      error ("failed: %s global test", file); 
%!      endif
%!    endfor
%!  endif
%!
%!  ret = 1;
%!
%!test
%! 
%! [save_status, save_files] = testls (0);
%! [load_status, load_files] = testls (1);
%! 
%! for f = [save_files, load_files]
%!   unlink (f{1});
%! endfor
%! 
%! assert(save_status && load_status);
%!
%!test
%! 
%! STR.scalar_fld = 1;
%! STR.matrix_fld = ;
%! STR.string_fld = "Octave";
%! STR.struct_fld.x = 0;
%! STR.struct_fld.y = 1;
%! 
%! save struct.dat -struct STR;
%! STR = load ("struct.dat");
%!
%! assert(STR.scalar_fld == 1 && ...
%!    STR.matrix_fld == [1.1,2;3,4] && ...
%!    STR.string_fld == "Octave" && ...
%!    STR.struct_fld.x == 0 && ...
%!    STR.struct_fld.y == 1 );
%!
%!
%! save -binary struct.dat -struct STR matrix_fld str*_fld;
%! STR = load ("struct.dat");
%!
%! assert(!isfield(STR,"scalar_fld") && ...
%!    STR.matrix_fld == [1.1,2;3,4] && ...
%!    STR.string_fld == "Octave" && ...
%!    STR.struct_fld.x == 0 && ...
%!    STR.struct_fld.y == 1);
%!
%! delete struct.dat;
%!
%!test
%! matrix1 = rand(100, 2);
%! save -ascii matrix.ascii matrix1
%! matrix2 = load ("matrix.ascii");
%! assert (matrix1, matrix2, 1e-9)
%!
%! delete matrix.ascii;

%% FIXME Disable this test as it writes to stdout and there is no easy
%% way to recover output. Need to spawn new octave process and pipe stdout
%% somewhere to treat this case
%% test/octave.test/io/puts-1.m
%!#test
%! puts ("foo\n");

%% test/octave.test/io/puts-2.m
%!assert(puts (1),-1);

%% test/octave.test/io/puts-3.m
%!error <Invalid call to puts.*> puts ();

%% test/octave.test/io/puts-4.m
%!error <Invalid call to puts.*> puts (1, 2);

%% test/octave.test/io/sscanf-1.m
%!test
%! [a, b, c] = sscanf ("1.2 3 foo", "%f%d%s", "C");
%! [v1, c1, m1] = sscanf ("1 2 3 4 5 6", "%d");
%! [v2, c2, m2] = sscanf ("1 2 bar 3 4 5 6", "%d");
%! 
%! assert((a == 1.2 && b == 3 && c == "foo"
%! && v1 == [1; 2; 3; 4; 5; 6] && c1 == 6 && ischar (m1)
%! && v2 ==  && c2 == 2 && ischar (m2)));

%% test/octave.test/io/sscanf-2.m
%!error <Invalid call to sscanf.*> sscanf ();

%% test/octave.test/io/sscanf-3.m
%!error sscanf (1, 2);

%% test/octave.test/io/sscanf-4.m
%!error <Invalid call to sscanf.*> sscanf ("foo", "bar", "C", 1);

%% test/octave.test/io/sscanf-5.m
%!test
%! [x, n] = sscanf("   0.024000 0.200 0.200 2.000         1987           5           0  0 0 0 0 0 0 0 0 0 0 1 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 2 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 2 0 0 1 1 0 0 0 0 1 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 2 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 4 5 1 2    2 5 5 8 2 8 12 6 15 18 28 26 47 88 118 162 192 130 88 56 27 23 14 9 6 3 4 1 0    2 3 1 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0    1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0   0.026000 0.250 0.250 2.100         3115           3           0  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0    0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0    0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 1 0 1    1 1 0 1 0 1 3 2 0 5 15 25 44 66 145 179 193 172 104 57 17 11 12 2 1 0 1 1 0 1    0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 1 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 0 0 0 0 0 0 0 0 0 0 0    0 0 0 0 1 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   0.028000 0.300 0.300 2.200         4929           3           0  1 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 0 0 0 0 0 0    0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0    0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0    1 0 1 0 1 2 2 3 2 3 14 21 49 80 148 184 218 159 124 63 37 13 12 3 1 1 0 0 0 0    0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 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 0 1 0 0 0 0 0 0 0    0 0 1 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   0.030000 0.350 0.350 2.300         7051           5           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 1 0 0 1 1 0 1 0 0    0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1    0 0 1 0 0 0 2 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 1    0 0 0 2 0 0 0 1 5 6 14 28 51 88 154 177 208 169 124 65 39 15 5 3 3 2 1 0 1 0 1   0 0 0 0 1 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 0 0 0    0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 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 0 0 0 0 0 0 0 0 0 0 0   0.032000 0.400 0.400 2.400         9113           4           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 1 0 0 0 0 0 1 0    1 0 0 0 0 2 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0    0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 2 0    1 0 0 1 1 0 2 3 5 3 17 30 60 117 156 189 209 129 102 64 56 16 11 4 2 2 0 0 0 0   1 1 0 1 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 0 0 0    1 0 0 0 1 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 1 0    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0   0.034000 0.450 0.450 2.500        11811           6           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 0 0 0 0 0 0 0 0    0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0    0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0    0 0 2 1 0 0 1 0 5 5 15 21 57 99 149 190 195 159 130 69 41 16 10 2 5 3 0 1 0 0    0 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0    0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 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 0   0.036000 0.500 0.500 2.600        14985           3           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 1 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 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0    0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0 0 1 0 0 0 0    0 0 0 0 1 0 0 2 2 6 10 34 60 95 126 177 194 155 99 71 44 17 6 7 2 0 0 0 3 0 0    1 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0   0.038000 0.550 0.550 2.700        18391           3           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 1 0 0 1 0 0 0 1 0 0 0 0    0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 2    1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 2 0 0 1 1 0 1    2 1 0 0 0 1 0 1 3 6 19 27 52 95 161 154 169 134 94 64 37 19 9 6 0 2 1 0 0 0 0    1 2 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 2 2 0 1 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0    0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0   0.040000 0.600 0.600 2.800        22933           5           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 1 0 0 0 0 0 0 0 0 0 0    0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 1    0 0 0 0 0 2 0 3 4 7 18 27 47 82 134 163 133 138 101 58 34 26 10 5 2 1 2 1 1 0    2 1 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 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 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0   0.042000 0.650 0.650 2.900        27719           5           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 0 0 0 0 0 0 0 0    0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0    0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0    0 0 1 0 0 0 1 1 2 8 16 37 51 87 128 153 146 123 105 62 35 24 8 3 5 0 1 2 1 0 0   0 1 1 1 0 0 0 1 0 1 0 0 2 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0    0 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 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 0 0 0 0   0.044000 0.700 0.700 3.000        32922           5           0  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 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 1 0 1 0 0 0 1 0 0 0 0 2 0    0 0 0 0 0 0 0 2 1 0 0 0 0 1 1 1 1 0 0 1 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 1 1    1 1 0 0 0 1 4 3 5 5 15 35 54 88 132 168 149 105 92 62 30 16 17 4 5 1 0 0 1 0 1   1 0 1 1 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 1 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 1 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0   0.046000 0.750 0.750 3.100        38973           3           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 0 0 0 0 0 0 1 0    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1    0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 0 0    0 0 0 1 0 0 0 4 3 5 20 37 56 94 110 135 149 124 84 58 36 17 14 7 1 0 2 0 1 0 0   1 1 0 0 0 0 0 1 1 0 0 0 1 0 1 1 0 0 1 1 1 0 0 0 0 1 1 0 0 1 0 0 0 0 1 0 0 0 1    1 0 1 0 1 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0    1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0   0.048000 0.800 0.800 3.200        45376           5           0  1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0    0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 1 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 1 0 0 0 1 1 0 0 1 1 0 0 2 1 1 2 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0    0 0 0 1 0 0 0 0 1 3 18 34 55 82 104 135 116 99 79 60 51 29 10 4 3 1 1 1 0 0 1    0 0 0 1 0 0 3 1 2 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 1    0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0    1 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   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5 7 5    4 3 5 3 1 4 4 9 5 3 1 4 0 0 6 2 5 3 3 3 1 2 3 2 4 1 5 5 3 8 2 1 1 4 1 7 5 6 6    4 4 3 2 6 3 3 3 3 1 3 4 5 4 3 4 3 1 2 3 1 2 1 2 2 6 5 2 2 2 4 2 2 0 2 3 3 2 7    4 4 1 4 2 0 3 1 1 2 1 2 3 1 3 2 2 4 3 1 4 0 0 4 2 2 2 1 0 0 0 0   0.116000 2.500 2.500 6.600       745364           5           0  0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 1 2 1 1 2 1 1 1 0 1 0 2 0 1 1    0 1 0 1 0 0 0 0 0 0 1 0 1 0 0 0 0 0 1 1 2 3 0 1 4 4 0 4 0 1 0 1 3 3 0 2 1 2 3    2 1 1 1 2 0 4 0 0 4 5 2 5 4 1 3 5 5 4 0 4 4 2 3 2 3 5 2 2 4 2 3 4 2 3 3 3 3 3    2 4 12 10 13 14 19 22 23 24 36 19 32 25 25 36 24 18 20 21 14 18 13 8 6 9 2 9 5   2 5 3 4 4 3 3 0 4 3 2 5 3 4 2 2 6 3 4 0 2 4 1 3 4 7 4 5 3 2 4 5 5 3 4 4 4 2 3    2 4 4 2 1 5 7 1 5 2 4 1 5 5 3 4 4 3 2 4 2 4 0 6 2 3 4 1 2 2 2 4 1 4 2 2 2 5 6    5 1 4 4 2 3 3 3 1 4 3 4 2 6 2 5 3 2 2 1 3 2 2 5 1 1 0 0 1 0 0 0   0.118000 2.550 2.550 6.700       791846           4           0  0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 2 1 1 0 0 0 0 0 1 0 0 0 1 1 0 1 0 1 0 1 1 0 1 0    1 4 1 2 3 0 3 1 0 1 1 1 0 3 1 2 1 1 1 0 0 1 1 1 3 1 3 2 3 1 2 2 1 3 2 4 1 4 0    2 4 1 4 3 2 1 1 2 1 3 2 3 3 2 1 1 5 3 3 3 3 2 3 4 3 5 3 1 1 2 2 3 5 1 2 1 1 4    4 6 9 6 6 13 17 21 20 24 22 25 20 29 23 28 30 26 27 18 20 17 16 17 12 10 8 5 6   6 6 4 3 1 2 4 6 9 2 2 3 5 7 6 2 3 8 5 4 5 6 4 6 5 3 5 3 2 5 3 2 8 3 5 4 5 3 5    4 3 4 8 4 3 8 3 3 3 1 1 2 2 5 4 7 3 2 3 3 2 2 3 6 3 2 2 1 1 5 2 5 6 3 5 3 4 1    3 1 2 1 0 4 1 4 2 2 2 3 1 1 1 1 3 2 0 1 6 1 1 0 2 1 0 1 0 0 0 0   0.120000 2.600 2.600 6.800       833394           3           0  0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 2 1 1 1 2 1 0 0 0 1 0 1 0 0 0 1 0 0 1 1 2 1 0 0    0 0 0 2 2 0 3 1 0 0 2 1 1 1 1 0 1 2 1 5 0 1 0 2 2 1 2 0 4 2 1 4 3 4 2 2 1 2 1    5 2 3 1 3 0 2 2 2 2 3 4 0 4 2 3 3 4 5 2 2 6 3 4 5 5 5 3 4 6 5 1 3 0 5 4 5 1 3    2 2 6 18 13 17 27 27 21 28 28 24 26 27 29 23 21 16 17 19 22 14 11 9 5 14 7 7 6   4 4 12 3 6 4 5 4 6 4 2 0 1 8 1 6 8 5 2 3 4 5 6 4 2 5 8 3 1 1 6 3 7 8 4 1 6 5 2   8 11 5 6 5 6 2 4 5 1 2 7 2 2 5 5 6 3 3 2 3 8 5 1 9 3 3 2 3 6 3 5 3 2 4 6 3 1 3   5 4 4 4 6 3 3 5 0 2 2 5 1 3 2 2 1 4 2 0 2 2 2 2 4 1 2 1 2 1 1 0   0.122000 2.650 2.650 6.900       876007           3           0  0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 2 1 1 1 1 2 2 1 0 0 1 0 0 0 1 1 0 0 0 2 0 0    4 1 0 2 1 2 0 1 2 0 1 3 2 1 0 1 1 0 1 2 1 0 2 3 3 5 3 3 3 0 1 4 0 1 5 3 4 3 1    2 2 2 4 1 3 3 3 2 3 2 3 2 1 4 4 2 2 5 5 3 4 1 2 1 2 4 2 4 7 2 4 4 2 7 3 5 7 5    3 6 8 10 10 18 21 22 24 14 25 27 29 31 22 25 24 21 27 20 19 22 19 14 13 14 10    5 7 3 4 5 5 3 1 4 3 8 4 5 4 0 3 4 3 4 1 7 6 1 1 3 4 4 3 4 3 6 4 3 4 2 4 4 3 5    6 5 1 1 6 2 6 6 3 5 5 3 2 6 5 4 3 4 6 4 3 5 5 6 5 6 2 4 2 1 2 2 4 2 7 6 2 1 3    1 5 2 1 2 4 3 3 3 2 5 2 4 1 4 3 2 2 5 5 1 1 3 3 2 2 2 2 1 0 0 0 0 0   0.124000 2.700 2.700 7.000       925764           3           0  0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 2 1 3 0 1 1 0 0 0 0 0 1 1 1 1 0 0 0 1 1 0    1 2 0 0 3 2 0 1 2 1 1 2 0 2 1 2 2 0 0 2 3 2 3 2 2 3 2 2 4 0 2 0 5 1 3 2 3 1 2    3 2 0 6 4 3 6 2 5 0 5 2 1 4 4 5 7 4 2 3 5 2 0 2 5 2 4 7 4 4 4 8 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5           0  0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 1 0 1 1 0 0 1 1 1 0 0 0 2 1 0 0 4 0 0 1 2 3    1 1 0 1 0 1 0 3 1 1 1 2 2 1 1 1 3 1 0 2 4 2 1 2 1 2 0 3 1 3 2 1 5 2 1 3 1 2 1    5 3 2 1 2 5 3 8 2 3 2 5 5 4 3 6 4 4 4 3 2 3 8 4 3 4 5 4 5 4 7 6 5 3 3 3 5 2 9    10 7 9 12 11 13 17 15 22 19 33 24 28 30 26 21 24 22 27 20 26 16 10 10 9 20 10    7 4 5 7 7 2 7 5 3 5 1 6 1 5 7 5 6 3 1 5 1 1 3 4 8 6 3 9 5 5 3 6 7 4 6 7 6 4 2    4 6 2 3 6 5 6 7 6 4 4 9 6 8 6 9 7 1 2 6 2 7 5 4 4 4 4 5 5 4 4 3 6 3 5 3 6 4 3    6 6 2 5 2 8 4 5 3 6 5 4 5 8 4 3 5 6 5 5 2 8 1 2 2 5 4 1 3 0 0 0 0 0   0.130000 2.850 2.850 7.300      1081669           3           0  0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 5 0 0 2 2 0 0 1 0 0 0 1 1 0 2 0 2 2 2 1 0    1 0 2 2 3 1 1 0 2 0 1 0 2 1 1 2 2 0 1 4 3 0 2 1 1 0 2 5 2 1 0 1 3 2 5 2 1 2 5    2 3 4 3 6 6 6 4 6 6 3 1 3 2 3 4 7 5 2 9 7 4 1 4 4 3 2 2 2 7 4 8 4 7 4 6 8 5 1    8 6 10 18 21 18 15 21 24 21 26 22 30 28 27 23 22 21 17 25 20 17 13 17 9 12 7 8   5 4 4 5 5 2 4 1 1 2 5 7 6 4 9 7 7 5 5 5 5 5 2 4 5 3 6 8 2 4 9 4 10 5 1 4 5 5 5   10 3 2 8 6 5 7 3 13 3 3 6 5 1 4 5 9 5 2 7 4 5 6 3 5 6 5 4 5 9 6 4 3 4 4 4 5 8    5 5 0 3 6 3 4 3 7 5 6 4 3 3 6 8 4 1 3 1 2 7 3 4 6 6 1 3 4 1 0 1 0 0   0.132000 2.900 2.900 7.400      1131887           3           0  0 0 0 0 0 0 0 0 1 0 0 1 2 1 1 0 0 0 1 2 2 1 1 0 2 1 1 0 1 1 1 0 2 2 3 1 0 1 0    1 0 2 0 2 0 1 4 0 1 2 2 0 0 0 2 3 0 1 2 3 0 1 2 3 5 6 2 2 3 1 4 4 8 4 3 3 3 7    2 2 5 7 4 1 2 4 8 1 5 2 7 3 4 2 9 6 5 5 6 2 2 3 6 2 5 6 7 7 2 8 3 3 3 3 6 6 5    3 10 15 15 17 19 13 29 20 23 22 34 28 28 33 20 20 22 17 22 18 15 19 14 11 9 13   6 6 13 4 2 9 8 8 7 6 5 6 4 4 9 6 2 8 9 7 2 6 3 7 3 6 3 7 4 4 5 4 5 6 4 7 5 4     10 2 6 6 8 3 6 6 9 5 8 8 7 6 4 8 5 7 5 5 7 3 5 5 5 10 7 3 8 7 5 7 2 4 4 6 4 10   7 6 4 4 4 4 3 2 4 2 6 5 9 7 3 2 6 2 5 1 5 6 2 2 1 9 2 5 2 5 1 0 0 0 1 1   0.134000 2.950 2.950 7.500      1185706           3           0  0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 3 2 1 0 1 1 0 0 0 0 0 1 0 1 1 2 0 1 0 1 2 0 0 0    1 1 0 1 1 1 0 2 2 0 1 3 3 2 3 0 0 2 2 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0.144000 3.200 3.200 8.000      1493946           3           0  0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 2 3 0 0 1 2 1 1 1 4 1 0 1 0 1 2 1 3 1 1 1 1 2    1 1 3 2 6 0 4 0 1 4 2 4 5 2 1 3 0 2 2 4 2 3 2 4 3 5 4 4 4 1 5 1 3 4 5 6 4 7 2    8 8 8 5 3 6 0 7 3 2 2 5 7 5 7 5 8 9 6 4 3 6 8 6 10 2 5 6 3 3 6 6 6 6 17 5 10 6   6 11 11 13 12 21 26 18 24 21 24 23 30 18 22 20 24 19 13 17 25 22 17 15 8 13 7    10 8 9 6 7 9 8 7 8 9 7 7 6 12 5 9 9 12 9 12 6 9 7 10 7 7 4 9 7 4 2 7 4 5 8 8 9   7 6 7 5 9 4 8 13 6 5 4 7 9 6 7 7 9 4 4 5 8 10 9 10 6 6 7 9 12 11 8 8 9 11 5 8    7 5 5 8 5 9 10 5 5 11 11 6 8 8 4 8 5 5 5 4 7 4 5 6 5 6 6 7 7 4 2 6 3 2 1 0 0 0   0 0   0.146000 3.250 3.250 8.100      1562352           5           0  0 0 0 0 0 0 0 0 0 0 0 0 0 2 2 0 2 0 1 2 1 1 0 0 1 0 1 2 0 0 0 3 1 2 0 4 4 2 0    0 2 3 2 0 1 3 3 4 0 1 4 3 3 4 5 5 4 2 1 4 2 5 3 2 7 6 3 5 6 5 5 5 1 5 2 7 4 8    7 4 6 5 7 5 3 5 8 1 6 4 6 8 7 6 7 6 3 4 6 3 5 8 4 10 3 3 11 6 5 3 9 6 4 3 17 9   11 11 24 13 15 14 25 26 26 21 17 32 32 22 18 25 29 29 27 24 21 12 23 14 12 11    9 17 7 9 11 3 7 6 5 5 12 3 6 8 7 4 7 11 10 8 9 5 8 2 10 9 8 10 10 7 7 4 7 5 7    7 9 10 8 7 7 16 6 8 10 5 6 6 12 12 7 11 11 8 9 7 8 12 10 7 8 7 11 8 9 7 7 4 9    4 7 14 9 8 8 13 9 8 7 13 5 9 5 7 4 9 5 7 8 7 8 7 3 10 9 3 4 4 4 5 2 6 6 3 5 10   4 4 2 3 0 1 0 0   0.148000 3.300 3.300 8.200      1630559           3           0  0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 4 2 1 1 1 2 1 2 0 2 1 5 0 1 1 4 0 2 1 4 5 3 0    1 1 1 2 1 3 3 3 1 1 1 1 1 3 4 6 6 8 8 4 3 2 7 2 2 1 7 4 4 5 1 10 6 4 4 4 3 3 3   6 11 6 4 5 4 8 5 5 9 4 5 5 7 6 4 13 12 3 6 7 5 2 7 9 7 8 8 4 7 6 4 10 6 8 9 9    9 13 15 17 23 25 13 16 24 22 26 21 27 24 24 21 21 21 15 17 22 25 21 22 17 14     11 8 12 5 9 7 8 5 11 10 6 6 5 9 13 10 9 8 8 8 6 4 9 10 9 9 7 8 7 5 7 8 14 13 5   14 5 12 11 8 9 6 5 4 9 13 7 10 13 11 11 8 5 9 10 8 7 6 7 13 3 13 8 7 13 17 5 8   5 10 7 12 7 6 6 9 7 8 8 11 8 11 9 11 11 8 5 6 10 4 9 3 10 8 7 10 8 7 8 10 10 7   4 11 5 7 8 2 4 3 0 0 1 0 1   0.150000 3.350 3.350 8.300      1707576           3           0  0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 1 2 1 0 2 0 2 3 1 3 2 2 2 2 0 2 1 4 3 2 2 3    1 2 1 0 2 2 4 2 5 3 3 5 2 8 4 5 4 2 3 6 7 6 1 0 7 4 7 7 6 5 4 3 4 6 6 7 6 2 7    4 4 2 5 5 6 9 3 3 3 6 6 5 3 5 7 8 8 6 8 8 6 8 3 9 6 6 8 8 6 4 8 6 6 10 4 11 6    11 15 23 16 8 17 20 21 19 24 15 14 19 21 30 25 21 15 19 16 18 21 21 15 14 12     16 8 10 12 7 10 9 8 10 10 7 9 8 10 12 6 6 9 11 6 5 9 12 6 7 12 7 5 6 8 5 9 4     11 9 8 8 10 7 6 10 7 11 13 7 4 13 11 8 11 9 16 6 12 11 10 10 19 2 9 11 8 7 8 8   6 13 6 10 12 12 9 12 9 9 8 7 7 9 6 12 8 4 9 9 8 5 7 8 9 5 12 5 7 5 9 10 9 10 3   6 6 8 7 11 3 5 5 4 2 0 0 0 0   0.152000 3.400 3.400 8.400      1777231           3           0  0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 1 1 3 1 0 3 4 2 3 3 3 3 3 2 1 1 1 1 3 3 0    1 8 0 0 5 3 7 4 4 4 4 4 3 5 2 2 5 3 6 1 7 6 1 2 2 5 2 1 6 6 8 7 7 5 10 4 1 6 9   3 4 5 3 5 8 4 9 8 11 8 3 2 7 7 9 10 9 10 8 6 8 6 8 7 10 8 7 3 8 4 10 7 6 8 9 6   5 16 9 19 24 23 17 23 24 22 30 21 15 23 27 20 20 20 18 20 23 18 17 15 19 17 18   13 9 4 4 7 12 7 10 4 8 6 10 5 6 13 2 3 8 7 8 7 3 11 8 7 9 7 19 7 8 9 6 14 8 8    11 10 11 13 14 10 16 8 9 13 8 9 9 12 7 12 11 6 9 15 5 9 9 9 11 11 13 6 10 6 4    12 9 9 12 11 8 6 9 16 10 10 10 8 10 10 6 7 4 1 15 6 8 4 9 13 11 8 10 11 9 8 3    3 6 6 7 9 4 6 8 7 4 2 1 2 2 1 0   0.154000 3.450 3.450 8.500      1849489           6           0  0 0 0 0 0 0 0 0 0 0 1 1 3 0 1 2 2 0 1 4 1 1 0 1 0 2 1 0 0 1 1 1 1 6 3 6 1 3 1    3 3 0 6 0 4 2 7 4 6 4 4 3 7 4 5 7 5 5 2 3 9 9 2 5 5 3 9 4 2 7 6 2 8 2 5 7 12 6   5 4 5 10 4 12 10 6 4 14 7 9 10 11 7 7 7 7 3 9 7 4 3 8 7 5 7 9 6 8 9 6 8 8 12 6   5 11 12 13 11 13 21 26 19 23 25 18 23 22 23 23 18 27 20 15 20 25 24 19 18 12     14 13 15 8 15 10 11 7 9 13 11 12 13 11 11 7 11 13 6 5 10 6 6 10 8 14 5 14 11 8   5 9 7 10 10 8 7 15 13 3 13 12 18 15 7 10 9 10 8 15 9 6 8 9 10 10 9 5 7 7 5 10    11 13 12 12 12 10 6 17 10 11 9 4 8 7 6 6 9 12 8 16 18 7 5 10 8 12 10 15 6 13     11 6 10 16 10 11 16 8 9 5 11 10 14 11 5 2 5 7 3 1 1 0 1 0   0.156000 3.500 3.500 8.600      1920727           4           0  0 0 0 0 0 0 0 0 0 0 0 1 1 0 1 0 2 1 2 0 3 0 1 1 0 1 0 3 0 4 4 1 3 1 2 3 3 4 3    1 2 3 9 5 2 3 7 3 3 6 5 2 6 1 4 3 2 3 6 5 1 8 3 8 5 3 7 6 13 11 9 5 8 7 7 5 8    7 4 8 6 4 10 4 6 5 6 9 9 12 6 7 10 9 9 8 8 3 8 9 8 8 2 12 11 13 8 13 7 8 6 6 9   6 8 16 13 14 16 16 22 20 21 21 17 20 18 19 22 20 11 20 22 21 14 19 15 23 17 15   12 14 19 16 10 11 14 11 9 11 9 12 8 16 14 9 6 18 10 11 7 10 11 17 10 13 8 10     12 9 12 7 7 10 10 11 11 9 8 8 14 10 10 9 14 9 14 13 9 19 16 17 4 11 8 12 11 10   21 6 10 8 9 12 9 7 7 12 7 16 14 10 13 6 13 8 9 10 6 10 8 7 10 4 6 11 19 12 6 7   5 8 11 10 12 13 9 6 10 5 11 11 4 14 10 7 2 6 5 1 2 5 1 1 0 0   0.158000 3.550 3.550 8.700      1999833           3           0  0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 2 2 3 2 2 2 1 2 3 0 1 0 1 3 2 0 0 3 2 3 2 5 7 0    3 4 1 10 7 7 4 5 2 3 4 3 8 3 6 4 4 4 8 2 3 4 5 5 7 1 6 7 8 1 6 8 1 4 4 11 9 4    7 11 9 10 5 6 8 4 3 9 7 9 11 5 5 8 8 4 8 7 8 11 9 12 6 4 13 4 12 10 6 9 11 10    11 10 11 11 11 14 15 14 23 18 17 29 16 26 23 15 19 14 18 19 22 31 13 21 20 12    16 15 14 18 17 15 8 12 14 13 10 10 10 10 10 13 11 6 8 11 8 14 8 10 11 11 8 10    13 5 14 7 12 9 10 10 12 15 18 8 6 9 9 12 8 9 20 14 16 10 11 14 5 5 13 6 11 9     11 15 6 9 13 11 7 8 7 10 8 16 12 11 8 10 14 11 17 11 8 16 13 9 10 5 10 17 13     14 16 8 10 9 11 5 10 9 10 12 8 11 12 11 8 6 7 12 15 13 12 7 13 5 0 3 2 0 0 0 0   0.160000 3.600 3.600 8.800      2073149           3           0  0 0 0 0 0 0 0 0 0 1 0 0 0 0 2 1 2 1 2 2 1 0 2 2 1 0 3 6 4 5 5 2 2 2 5 5 3 6 4    6 4 5 2 4 4 3 2 4 6 3 3 6 5 7 4 5 7 5 3 5 6 13 5 3 10 5 9 7 4 5 6 5 10 6 5 5 6   6 4 14 7 6 11 6 9 10 9 8 5 3 8 10 10 6 6 8 9 5 6 14 7 11 10 9 9 11 13 8 4 5 10   12 6 16 8 8 7 19 20 23 10 16 27 25 23 19 26 21 16 20 21 24 18 25 8 11 13 16 18   13 22 18 9 16 4 16 10 12 13 9 7 9 8 17 11 10 13 10 14 4 9 12 16 8 9 16 17 13     11 14 8 8 13 9 11 15 10 11 14 8 6 4 9 11 18 9 9 8 9 15 11 11 11 9 6 13 13 10 7   8 10 15 14 9 7 4 10 12 17 10 14 13 10 10 12 20 9 7 6 11 15 11 10 8 9 6 10 13     17 6 8 9 6 13 13 16 10 15 5 11 14 11 12 6 5 12 9 4 9 2 4 1 1 0 0 0   0.162000 3.650 3.650 8.900      2156456           5           0  0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 2 0 1 1 3 2 3 4 3 3 2 1 3 6 5 2 3 4 4 3 6 2 3    4 4 5 5 3 4 1 4 5 9 3 3 4 3 3 8 5 6 12 2 10 3 4 6 8 9 8 8 2 2 7 5 8 2 8 9 7 2    6 8 6 5 8 2 7 5 6 13 5 6 8 11 6 10 5 6 3 8 10 11 10 10 14 10 11 8 11 8 12 6 12   5 15 12 13 10 13 13 18 23 12 21 18 21 23 20 30 20 23 26 24 24 21 21 29 19 21     16 23 20 13 19 13 16 11 15 13 13 11 8 11 14 14 13 4 16 15 18 13 9 19 8 11 6 9    14 8 13 12 13 10 13 10 14 11 13 11 8 10 13 11 11 14 11 8 14 11 10 9 14 12 14     18 8 12 7 13 12 10 14 14 8 12 17 11 13 9 12 12 15 7 9 13 17 11 11 11 12 17 12    11 16 15 8 9 12 7 13 15 11 16 7 10 7 14 5 18 10 10 8 8 6 6 13 14 6 9 11 9 9 3    5 1 1 3 0 0   0.164000 3.700 3.700 9.000      2234753           3           0  0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 4 1 4 2 1 3 1 1 3 2 3 3 1 3 6 2 4 4 3 3 3 6 5 2    6 4 1 3 3 7 1 4 4 6 12 4 5 2 6 4 9 3 1 8 11 5 2 7 6 3 8 4 7 3 8 3 9 6 7 8 9 2    7 6 9 6 15 6 9 5 9 4 9 17 15 10 2 10 6 8 12 12 11 12 10 9 7 11 8 7 5 11 10 14    16 7 7 7 13 15 10 16 17 21 19 14 18 24 19 27 27 24 20 22 24 21 20 14 24 17 17    18 32 15 12 13 15 12 8 14 11 11 19 11 14 15 18 10 5 12 11 11 9 15 9 7 9 16 12    9 12 10 15 9 18 7 11 12 14 7 20 8 10 13 14 11 6 6 9 11 8 10 16 8 17 13 17 9 16   11 10 9 13 20 17 14 12 10 13 11 9 9 17 20 10 16 8 14 13 14 18 15 15 8 10 12 11   22 12 13 9 12 9 11 14 19 12 12 8 8 12 11 19 11 11 12 15 11 15 13 9 9 10 9 4 9    4 2 1 0 0   0.166000 3.750 3.750 9.100      2327990           3           0  0 0 0 0 0 0 0 0 0 0 0 0 3 2 2 0 1 2 2 1 1 0 0 3 1 4 2 6 4 2 4 3 2 5 5 2 3 1 3    1 2 10 2 7 4 3 4 3 3 4 3 10 6 9 6 3 8 5 5 3 4 4 6 8 4 4 7 5 5 11 14 5 3 6 8 8    7 10 11 7 17 7 11 10 8 7 8 12 13 11 12 6 13 9 7 7 6 5 8 13 10 10 14 11 11 8 12   15 14 9 13 10 9 18 13 18 12 23 14 17 24 15 23 25 31 19 17 29 19 19 19 26 25 19   17 22 19 19 19 11 11 12 22 21 8 10 18 10 14 19 17 13 14 10 6 9 10 15 11 5 13     13 11 11 17 16 9 7 14 7 19 6 10 13 7 12 18 14 7 12 15 13 13 9 13 13 13 12 12     14 12 19 10 16 18 18 12 8 10 10 9 7 14 9 11 13 12 8 15 12 11 10 12 11 17 15 19   14 14 12 7 7 12 11 15 16 12 11 12 10 19 19 12 14 12 15 11 20 13 7 18 9 15 19     16 11 5 9 8 6 2 4 0 2 0 1   0.168000 3.800 3.800 9.200      2406866           3           0  0 0 0 0 0 0 0 0 0 1 0 2 0 1 0 2 3 2 3 1 2 1 2 2 5 2 1 2 3 2 2 2 5 3 5 3 3 1 3    6 8 6 1 3 9 6 3 6 10 5 5 7 4 5 7 12 9 5 7 5 6 6 8 3 5 4 7 8 5 6 5 8 13 4 10 2    10 9 7 7 16 9 10 9 13 8 12 9 13 15 9 15 9 10 11 6 6 6 7 7 6 8 15 9 8 9 6 12 12   11 14 12 11 13 8 17 18 18 11 14 19 14 25 21 15 10 15 19 27 23 22 24 17 19 18     12 16 22 21 25 9 25 15 19 15 21 15 8 11 13 12 10 12 7 13 11 17 11 13 10 16 19    14 23 11 8 12 13 10 9 17 4 14 10 7 10 17 14 11 11 20 18 13 8 12 6 8 13 12 23     15 14 15 16 9 14 9 13 14 17 11 17 11 10 15 17 11 6 12 12 14 15 17 12 16 16 8     17 15 15 10 15 11 10 15 12 13 9 12 9 12 15 12 6 18 7 15 14 12 21 18 11 10 18     11 19 11 7 11 3 2 5 4 0 1 1   0.170000 3.850 3.850 9.300      2508471           7           0  0 0 0 0 0 0 0 0 0 0 0 0 1 3 1 2 1 4 3 3 1 2 7 0 3 2 2 2 2 5 2 3 2 3 3 4 3 7 3    5 3 4 4 6 2 3 10 4 11 3 13 7 7 5 6 3 8 10 6 6 4 10 11 4 12 7 8 9 7 7 8 4 6 7 9   9 5 9 11 5 14 9 10 7 9 8 8 5 6 11 13 14 10 10 10 10 8 9 9 9 9 14 14 13 11 8 18   9 10 9 16 12 13 15 13 10 17 16 20 14 22 20 26 29 29 27 24 20 37 21 24 13 18 13   28 24 22 25 21 13 14 15 9 11 18 8 16 17 16 13 12 16 11 11 17 15 11 15 10 11 12   13 12 12 20 15 14 15 16 12 17 15 15 12 10 14 14 17 15 19 15 13 13 11 12 16 14    17 16 8 16 12 8 14 13 13 10 10 9 12 11 19 20 13 11 4 15 11 14 11 20 18 18 13     20 12 20 21 15 15 12 13 18 18 11 16 9 14 9 18 11 10 11 20 11 13 17 13 13 12 14   16 10 12 12 23 12 11 12 8 8 1 0 1 2 0   0.172000 3.900 3.900 9.400      2591210           3           0  0 0 0 0 0 0 0 0 0 0 0 0 1 1 0 4 4 3 2 1 3 3 2 3 0 3 6 1 3 1 5 5 4 3 9 9 0 4 7    5 3 5 5 8 7 3 3 5 5 8 5 11 10 8 10 3 6 6 6 7 7 8 8 12 9 6 10 8 7 10 8 8 10 4 6   12 20 4 6 11 7 9 10 7 5 10 6 12 11 7 13 13 16 12 6 8 14 13 9 7 5 14 17 17 10     12 11 6 13 11 17 3 23 13 21 12 21 28 11 23 30 28 23 24 26 26 17 21 15 27 23 33   16 22 25 11 20 22 23 21 20 7 21 13 16 12 16 16 13 18 18 9 13 16 15 9 20 13 19    15 8 9 11 14 13 10 9 10 16 15 14 17 15 19 16 12 14 12 14 14 16 19 19 4 24 8 12   15 16 11 15 14 20 14 13 13 14 16 19 14 13 19 14 18 23 15 15 4 14 17 14 8 10 15   20 11 15 19 12 9 13 12 11 16 12 16 13 14 16 13 16 16 19 19 12 11 10 19 15 15     14 12 5 11 18 17 10 13 12 9 6 2 0 0 1 0   0.174000 3.950 3.950 9.500      2675515           3           0  0 0 0 0 0 0 0 0 0 0 2 0 1 1 0 2 1 2 3 3 1 3 1 3 7 5 3 6 4 3 9 4 5 2 5 3 3 3 6    9 5 5 2 6 8 5 8 4 8 5 6 5 6 4 6 3 7 11 6 9 9 3 6 6 7 6 8 7 9 12 18 6 9 8 11 11   8 14 15 15 11 15 13 9 19 10 15 14 9 4 18 5 8 10 8 10 13 9 12 11 8 8 12 6 15 8    9 9 18 7 17 21 9 13 18 14 21 24 18 22 17 26 15 21 23 25 19 26 23 20 27 17 27     20 26 15 22 15 19 15 16 24 12 15 24 13 13 17 11 7 10 21 15 15 16 13 20 22 12     16 12 16 15 14 18 11 12 14 14 24 10 13 16 19 8 11 18 19 15 15 23 16 16 11 12     18 11 13 14 16 10 14 13 18 12 15 15 14 8 11 17 12 22 13 12 14 15 10 11 15 19     15 12 17 8 21 23 13 19 11 8 12 15 11 14 15 19 15 10 17 9 16 14 18 14 16 14 14    23 14 14 13 16 12 14 15 14 9 14 7 5 2 3 1 1 1   0.176000 4.000 4.000 9.600      2779386           5           0  0 0 0 0 0 0 0 0 0 0 0 2 2 3 0 1 3 0 6 2 6 3 1 5 0 4 1 6 5 1 6 3 6 5 6 2 5 4 5    3 9 8 5 7 5 8 4 12 8 12 6 8 5 7 5 7 10 5 5 6 7 9 7 10 7 10 10 8 12 10 6 13 10    11 12 11 10 10 16 9 6 12 9 11 17 10 11 10 14 11 16 7 11 13 12 10 17 14 11 13     12 10 13 16 16 17 17 15 14 11 8 15 13 27 22 14 19 17 22 22 27 18 28 19 27 32     24 33 21 17 23 12 27 25 20 20 17 22 14 15 22 21 14 9 16 12 19 16 17 16 16 20     14 18 15 14 18 10 12 9 16 12 12 10 13 19 12 12 15 14 15 22 12 11 15 18 19 18     10 6 11 14 10 23 17 14 16 19 10 10 16 19 17 23 16 18 19 18 16 12 14 14 14 13     11 10 24 21 22 26 18 18 18 14 17 5 13 17 11 13 16 14 18 16 9 15 15 18 16 14 21   13 22 17 9 8 16 17 16 16 19 7 20 19 18 16 10 6 10 6 3 5 1 0 0 2   0.178000 4.050 4.050 9.700      2869617           3           0  0 0 0 0 0 0 0 0 0 0 2 2 2 0 1 4 1 3 2 2 1 2 3 2 2 4 4 7 5 6 5 3 6 6 5 7 8 1 5    2 3 5 5 8 10 7 6 10 9 6 8 9 7 8 10 15 4 10 5 8 8 6 11 8 8 11 7 5 8 14 5 11 7     13 10 9 7 8 9 14 12 10 9 11 6 14 15 14 13 11 9 18 18 10 14 14 10 12 16 12 9 8    14 15 6 11 11 12 10 14 12 11 18 13 13 27 16 23 23 20 21 32 20 18 25 22 24 32     25 34 19 23 21 25 22 25 19 23 19 21 16 19 16 18 9 18 6 13 12 13 18 12 8 19 14    14 11 16 13 15 14 21 11 14 14 13 11 20 14 14 26 10 22 16 18 15 20 24 18 19 19    16 14 14 14 21 13 19 18 20 13 17 11 17 14 22 17 15 15 20 8 21 15 16 16 23 17     13 19 21 20 12 15 18 15 19 15 18 17 20 15 13 14 24 18 15 15 14 18 20 19 17 19    20 21 21 15 19 19 17 11 16 16 11 23 10 20 13 10 5 10 2 3 1 1 0   0.180000 4.100 4.100 9.800      2975040           3           0  0 0 0 0 0 0 0 0 1 0 0 1 2 2 4 4 2 4 4 1 2 5 0 3 3 5 2 5 5 4 9 2 7 8 4 8 3 11 6   10 4 7 8 6 6 5 8 8 7 11 4 4 11 12 7 11 7 10 11 7 11 11 10 9 7 13 12 18 8 14 12   14 12 8 8 16 10 10 14 16 10 6 8 15 15 15 22 13 19 18 12 6 11 10 7 12 12 24 15    17 9 17 21 10 17 18 14 14 14 9 22 11 23 17 15 23 32 20 11 12 20 15 23 30 20 25   19 26 29 19 27 23 15 19 11 30 16 21 24 18 18 14 8 6 25 13 21 13 13 19 13 21 25   23 18 14 14 13 20 12 14 8 10 25 14 15 20 15 10 15 16 21 8 15 20 21 20 13 16 15   20 11 18 17 17 9 12 24 19 13 18 17 20 14 15 20 10 23 19 25 8 7 13 14 11 15 18    13 10 12 10 17 11 24 16 17 11 12 13 16 20 14 26 12 17 13 14 16 16 6 20 16 23     22 11 17 16 14 25 19 17 21 22 19 13 19 16 18 10 11 7 4 6 0 0 2   0.182000 4.150 4.150 9.900      3083416           6           0  0 0 0 0 0 0 0 0 0 0 2 1 1 4 1 3 4 3 5 6 2 1 4 2 3 5 6 6 7 2 4 1 11 7 5 2 6 6 8   9 8 12 7 11 9 6 12 7 8 9 6 6 8 11 6 6 8 11 8 11 12 11 13 9 10 7 9 6 11 9 13 12   12 8 14 15 8 9 8 8 11 22 16 6 11 16 15 9 13 12 12 13 11 15 9 9 16 14 14 12 21    12 12 12 16 19 10 15 18 8 16 14 16 16 21 30 22 9 25 19 19 26 23 33 25 22 21 19   21 20 20 21 20 26 20 29 27 25 25 21 20 25 21 21 18 14 19 15 6 20 18 16 20 16     13 13 15 15 15 15 22 16 15 15 11 21 19 11 19 13 14 15 17 21 12 18 12 22 18 21    18 13 23 15 18 9 21 11 14 23 18 21 25 18 22 15 21 23 15 15 16 19 21 18 19 21     17 13 24 23 22 19 14 20 22 15 14 14 20 20 23 13 18 15 18 20 20 24 9 12 17 21     21 12 16 17 16 16 21 26 19 15 21 22 24 15 11 13 13 6 8 1 4 0 1 0   0.184000 4.200 4.200 10.00      3174897           3           0  0 0 0 0 0 0 0 0 0 0 1 1 2 3 0 5 4 3 3 0 7 3 2 4 2 8 6 4 5 9 3 8 6 4 2 7 6 8 7    9 3 5 8 5 9 7 7 6 11 14 7 12 9 9 5 15 12 14 15 12 9 11 5 8 13 11 12 10 9 17 12   11 8 17 11 19 11 15 9 11 7 15 14 16 16 16 7 12 10 14 13 13 16 16 11 15 13 14     12 16 11 12 13 17 10 13 19 11 17 11 13 14 13 10 19 19 23 24 22 24 24 31 19 23    22 28 21 25 29 17 23 17 21 30 22 19 25 27 27 22 23 23 17 25 17 20 17 12 23 21    9 17 20 16 19 16 17 20 9 16 11 22 16 15 12 15 17 23 24 16 16 18 26 11 16 20 18   10 14 17 26 19 17 15 17 19 12 21 20 24 17 27 13 16 18 19 23 14 19 14 10 11 18    19 6 15 21 23 25 17 17 18 21 27 20 17 18 20 25 22 20 18 22 18 17 15 24 16 15     22 18 22 14 20 20 22 18 22 25 19 26 12 19 19 13 12 16 19 14 9 7 5 4 2 0 2   0.186000 4.250 4.250 10.10      3283256           3           0  0 0 0 0 0 0 0 1 0 0 1 1 4 1 5 2 5 5 3 4 6 3 2 4 7 8 2 6 6 4 10 7 8 7 5 4 4 9 8   18 10 7 6 6 13 12 10 13 10 7 15 4 7 10 13 12 8 8 13 5 14 6 9 14 9 10 16 12 13    11 8 12 11 10 13 9 11 15 17 23 18 13 10 12 11 12 14 14 14 10 12 12 16 13 15 13   13 14 18 10 13 17 14 14 14 12 12 8 18 14 23 20 16 19 16 16 16 27 18 21 19 20     19 37 22 21 22 28 24 26 18 21 28 21 22 21 21 22 16 15 13 22 22 27 22 11 13 20    10 17 16 19 20 30 18 25 8 7 22 18 17 14 23 16 17 11 16 24 19 18 22 15 15 23 16   13 15 22 14 8 12 18 13 15 22 17 15 15 17 27 21 19 21 24 17 10 12 14 19 17 22     18 19 17 28 19 15 14 16 28 17 20 15 11 22 18 19 16 21 17 24 19 22 22 20 10 20    18 18 18 21 18 23 18 32 26 21 21 22 20 22 16 17 20 22 21 17 13 13 11 9 5 0 1 1   1   0.188000 4.300 4.300 10.20      3396610           5           0  0 0 0 0 0 0 0 0 0 0 1 2 3 0 2 5 5 4 3 3 5 1 2 3 6 9 3 3 3 8 7 2 9 5 7 5 11 8 9   7 6 9 6 4 5 8 6 10 9 14 10 15 6 7 13 15 10 13 7 15 10 10 11 14 14 6 7 17 13 19   3 13 9 6 13 13 14 10 11 12 16 17 13 10 15 15 19 19 11 11 15 11 13 9 13 20 8 18   14 18 23 23 23 15 19 20 14 11 7 18 16 15 22 28 20 24 22 25 17 20 39 24 26 25     25 33 25 25 25 33 15 29 18 29 18 12 18 23 17 24 28 22 16 20 33 23 18 23 26 23    15 24 16 16 16 16 17 15 15 16 14 11 9 23 17 13 13 18 12 19 20 30 20 20 15 21     19 16 18 20 23 19 15 10 11 15 19 13 22 22 18 19 16 19 23 16 10 25 23 20 21 20    31 19 19 18 15 22 18 14 13 21 18 19 22 19 16 17 21 14 20 26 18 26 22 19 26 19    20 22 15 13 24 23 15 21 21 21 27 18 22 19 24 17 22 16 18 23 10 12 3 5 3 3 0 0   0.190000 4.350 4.350 10.30      3502025           3           0  0 0 0 0 0 0 0 0 0 0 0 3 0 3 2 3 4 4 3 4 5 10 7 6 6 4 5 12 10 6 6 13 10 6 7 14    9 6 13 10 12 16 3 9 9 7 5 6 13 11 10 8 11 19 12 14 13 16 13 14 9 12 14 13 14     16 10 14 7 16 18 16 9 15 11 20 15 10 14 14 11 14 17 10 6 16 10 15 12 17 17 20    15 7 12 23 15 8 13 12 8 16 15 20 16 16 20 14 11 20 24 23 20 16 18 27 25 31 27    27 25 21 31 27 20 23 24 32 17 21 34 27 17 19 19 25 30 27 21 24 28 30 19 26 21    14 16 21 23 27 8 17 21 17 11 23 15 22 15 18 10 17 20 23 18 18 17 19 22 15 22     21 19 23 18 18 26 17 18 26 18 24 15 22 23 23 19 23 25 23 24 26 10 21 16 32 23    18 19 24 21 28 26 22 19 19 14 30 21 24 23 22 21 13 27 20 27 24 15 20 22 22 13    25 14 19 32 21 18 18 23 22 22 14 18 20 24 14 19 20 18 17 24 29 27 20 12 18 17    11 9 2 3 2 1 0   0.192000 4.400 4.400 10.40      3593938           3           0  0 0 0 0 0 0 0 0 0 0 1 0 1 1 2 3 4 7 8 1 5 6 8 3 7 5 4 9 8 8 7 7 9 7 9 9 15 5 7   8 15 14 9 9 13 8 8 15 10 7 10 9 10 14 7 8 18 16 17 11 14 15 13 8 15 8 15 18 16   16 22 12 8 16 13 10 13 13 10 21 11 10 16 16 13 13 17 16 20 23 13 22 16 14 15     22 19 22 15 22 24 16 16 16 19 12 15 16 17 20 18 19 26 17 23 18 32 20 28 36 22    25 30 29 31 36 24 24 21 29 24 32 29 30 23 34 19 33 34 25 20 31 27 24 16 14 21    20 13 24 17 28 13 24 16 26 15 26 21 11 15 20 13 20 18 25 23 18 24 26 22 16 22    14 13 16 20 24 25 19 29 20 15 20 16 25 26 21 22 17 24 22 21 17 23 23 15 19 30    23 17 21 19 18 21 26 14 29 24 20 33 19 15 20 23 28 19 23 25 15 19 17 31 23 18    29 26 25 14 24 25 18 19 19 24 35 31 23 23 14 15 19 11 20 19 24 17 16 9 10 12 3   2 2 0 1   0.194000 4.450 4.450 10.50      3712573           7           0  0 0 0 0 0 0 0 0 0 0 0 1 1 1 5 3 5 4 3 11 3 10 4 6 7 8 5 5 5 8 9 12 7 7 11 8 6    7 9 10 13 10 6 13 9 9 9 11 14 14 12 13 10 6 13 13 15 12 13 19 8 14 13 16 11 13   14 15 9 15 16 13 16 17 17 17 23 18 16 19 10 13 18 16 10 9 21 11 22 14 20 14 18   13 15 12 13 14 16 14 15 20 29 17 14 18 8 15 21 15 19 15 22 20 17 15 23 26 16     26 24 23 23 23 23 30 24 29 28 26 35 33 31 22 23 22 20 37 22 27 33 26 27 26 17    16 18 27 22 21 24 18 18 18 17 15 18 14 19 24 22 15 20 21 15 19 25 15 16 26 19    22 29 20 16 13 15 16 32 24 23 13 33 17 22 18 18 23 24 22 21 20 26 21 16 22 18    18 16 15 26 26 17 22 21 13 25 24 13 23 18 18 25 32 20 24 21 17 19 24 24 23 33    19 19 21 32 18 22 23 19 23 32 18 31 22 25 23 23 31 29 21 16 20 20 15 22 14 12    5 10 9 2 1 0 1   0.196000 4.500 4.500 10.60      3829518           3           0  0 0 0 0 0 0 0 0 0 1 2 2 1 6 2 6 5 9 3 5 6 8 6 3 8 10 7 11 9 4 8 9 5 11 10 13 9   16 13 10 9 5 12 9 15 10 13 9 12 18 14 19 9 13 14 12 13 21 17 17 18 16 13 12 16   14 18 10 15 15 16 11 15 22 17 19 17 11 12 26 12 17 19 18 21 20 27 17 18 19 21    14 19 16 12 16 21 20 18 8 17 17 13 13 18 15 19 15 19 20 28 21 29 27 27 34 24     26 31 25 24 16 17 23 23 30 28 18 28 32 28 37 18 26 18 16 33 21 31 21 20 22 19    20 25 18 18 20 11 17 20 22 23 14 14 17 18 20 25 20 19 20 22 19 16 33 25 21 21    24 18 16 22 29 22 16 27 26 28 21 20 22 17 25 23 20 23 18 16 19 26 22 21 22 23    15 20 19 17 23 19 20 15 22 18 22 26 23 23 31 17 29 18 13 15 19 18 24 22 28 22    17 23 24 26 21 23 25 24 29 26 18 41 24 29 22 27 23 28 16 30 24 18 23 19 17 18    21 17 14 8 2 5 2 0 0   0.198000 4.550 4.550 10.70      3950740           3           0  0 0 0 0 0 0 0 0 1 1 1 2 1 3 7 5 6 7 7 7 4 5 6 4 1 8 9 10 9 8 10 8 12 6 10 8 10   8 11 9 10 15 7 11 8 13 11 13 15 15 17 12 10 8 17 12 9 14 12 14 11 14 21 14 15    20 18 16 8 15 22 24 14 10 18 14 15 16 12 10 16 21 16 25 17 20 17 17 20 15 24     15 17 22 25 17 13 22 18 20 19 11 21 22 21 16 21 24 16 22 17 21 17 24 22 24 35    27 24 28 24 32 37 34 25 24 29 37 37 25 28 21 23 24 22 21 20 25 22 32 19 21 22    24 20 21 20 22 18 27 17 14 20 22 22 22 14 19 20 20 21 23 22 14 20 21 23 20 18    23 20 25 31 24 18 22 14 23 22 21 23 27 27 20 21 18 22 23 24 23 21 18 22 17 22    21 35 15 24 24 12 27 30 27 28 22 31 24 24 19 27 24 28 23 25 26 35 27 22 29 21    24 18 19 26 33 29 31 23 25 19 24 26 21 10 23 24 26 28 20 27 26 17 29 22 18 14    22 8 10 11 4 4 1 2 0   0.200000 4.600 4.600 10.80      4068161           5           0  0 0 0 0 0 0 0 0 0 1 1 0 1 5 5 2 9 3 11 6 9 8 7 7 8 3 3 13 10 8 7 5 8 13 8 7 14   12 10 7 15 13 13 11 12 12 14 12 13 12 10 15 11 14 7 16 15 8 15 13 15 13 18 13    17 21 15 12 13 13 17 18 18 18 16 19 20 17 14 17 24 13 12 18 19 19 13 21 18 26    21 23 16 14 18 19 13 33 13 19 20 14 20 23 14 26 19 22 21 21 16 27 30 25 28 22    32 21 30 27 31 21 30 22 27 27 31 27 21 17 38 41 17 21 20 19 30 24 27 20 20 21    30 20 19 19 31 25 24 13 21 23 19 24 33 24 17 20 17 12 25 23 18 24 11 24 25 22    33 20 11 22 31 21 20 26 27 21 26 24 14 23 23 20 20 26 28 10 20 27 24 22 17 27    28 20 23 23 33 20 24 26 32 33 29 21 25 24 17 18 19 27 26 20 24 26 24 24 26 21    19 24 21 36 32 18 33 33 20 23 25 33 19 27 25 27 24 27 21 21 23 28 18 27 25 19    24 15 17 12 15 7 2 1 0 0 ", "%f ", Inf);
%! assert(rows (x) == n);

%% Note use fprintf so output not sent to stdout
%% test/octave.test/io/printf-1.m
%!test
%! nm = tmpnam();
%! fid1 = fopen(nm,"w");
%! x = fprintf (fid1, "%s: %d\n", "test", 1);
%! fclose(fid1);
%! fid2 = fopen(nm,"r");
%! str = fscanf(fid2,"%s");
%! fclose(fid2);
%! unlink(nm);
%! assert(x,8);
%! assert(str,"test:1");

%% test/octave.test/io/printf-2.m
%!error printf (1);

%% test/octave.test/io/printf-3.m
%!error <Invalid call to printf.*> printf ();

%% test/octave.test/io/sprintf-1.m
%!test
%! [s, msg, status] = sprintf ("%s: %d\n", "test", 1);
%! 
%! assert(s == "test: 1\n" && ischar (msg) && status == 8);

%% test/octave.test/io/sprintf-2.m
%!error sprintf (1);

%% test/octave.test/io/sprintf-3.m
%!error <Invalid call to sprintf.*> sprintf ();

%% test/octave.test/io/fopen-1.m
%!test
%! arch_list = ["native"; "ieee-le"; "ieee-be"; "vaxd"; "vaxg"; "cray"];
%! 
%! status = 1;
%! 
%! for i = 1:6
%!   arch = deblank (arch_list (i,:));
%!   for j = 1:6
%!     if (j == 1)
%!       mode_list = ;
%!     elseif (j == 2)
%!       mode_list = ;
%!     endif
%!     nm = tmpnam ();
%!     for k = 1:3
%!       mode = deblank (mode_list (k,:));
%!       [id, err] = fopen (nm, mode, arch);
%!       if (id < 0)
%!         printf_assert ("open failed: %s (%s, %s): %s\n", nm, mode, arch, err);
%!         status = 0;
%!         break;
%!       else
%!         fclose (id);
%!       endif
%!       tmp_mode = cstrcat (mode, "b");
%!       [id, err] = fopen (nm, tmp_mode, arch);
%!       if (id < 0)
%!         printf_assert ("open failed: %s (%s, %s): %s\n", nm, tmp_mode, arch, err);
%!         status = 0;
%!         break;
%!       else
%!         fclose (id);
%!       endif
%!       tmp_mode = cstrcat (mode, "t");
%!       [id, err] = fopen (nm, tmp_mode, arch);
%!       if (id < 0)
%!         printf_assert ("open failed: %s (%s, %s): %s\n", nm, tmp_mode, arch, err);
%!         status = 0;
%!         break;
%!       else
%!         fclose (id);
%!       endif
%!     endfor
%!     unlink (nm);
%!     if (status == 0)
%!       break;
%!     endif
%!   endfor
%!   if (status == 0)
%!     break;
%!   endif
%! endfor
%! 
%! assert(status == 1);

%% test/octave.test/io/fopen-2.m
%!test
%! s.a = 1;
%! fail("fopen (s)");

%% test/octave.test/io/fopen-3.m
%!error fopen ("foo", "x");

%% test/octave.test/io/fopen-4.m
%! fopen ("foo", "wb", "noodle");
%! assert(prog_output_assert("error:.*"));

%% test/octave.test/io/fopen-5.m
%!error <Invalid call to fopen.*> fopen ();

%% test/octave.test/io/fopen-6.m
%!error <Invalid call to fopen.*> fopen ("foo", "wb", "native", 1);

%% test/octave.test/io/fclose-1.m
%!error fclose (0);

%% test/octave.test/io/fclose-2.m
%!error <Invalid call to fclose.*> fclose (1, 2);

%% test/octave.test/io/tmpnam-1.m
%!assert(ischar (tmpnam ()));

%% test/octave.test/io/tmpnam-2.m
%!warning tmpnam (1);

%% test/octave.test/io/tmpnam-3.m
%!warning tmpnam ("foo", 1);

%% test/octave.test/io/tmpnam-4.m
%!error <Invalid call to tmpnam.*> tmpnam (1, 2, 3);

%% test/octave.test/io/binary-io-1.m
%!test
%! type_list = ["char"; "char*1"; "integer*1"; "int8";
%! "schar"; "signed char"; "uchar"; "unsigned char";
%! "short"; "ushort"; "unsigned short"; "int";
%! "uint"; "unsigned int"; "long"; "ulong"; "unsigned long";
%! "float"; "float32"; "real*4"; "double"; "float64";
%! "real*8"; "int16"; "integer*2"; "int32"; "integer*4"];
%! 
%! n = rows (type_list);
%! 
%! nm = tmpnam ();
%! 
%! id = fopen (nm, "wb");
%! 
%! if (id > 0)
%! 
%! for i = 1:n
%! fwrite (id, i, deblank (type_list(i,:)));
%! endfor
%! 
%! fclose (id);
%! 
%! id = fopen (nm, "rb");
%! 
%! if (id > 0)
%! 
%! x = zeros (1, n);
%! 
%! for i = 1:n
%! x(i) = fread (id, [1, 1], deblank (type_list(i,:)));
%! endfor
%! 
%! if (x == 1:n)
%! printf_assert ("ok\n");
%! endif
%! 
%! endif
%! 
%! endif
%! 
%! unlink (nm);
%! assert(prog_output_assert("ok"));

%% test/octave.test/io/file-pos-1.m
%!test
%! nm = tmpnam ();
%! id = fopen (nm, "wb");
%! if (id > 0)
%!   fprintf (id, "%d\n", 1:100);
%!   fclose (id);
%!   id = fopen (nm, "rb");
%!   if (id > 0)
%!     for i = 1:101
%!       fgets (id);
%!     endfor
%!     if (feof (id))
%!       fclose (id);
%!       id = fopen (nm, "rb");
%!       pos_one = ftell (id);
%!       s_one = fgets (id);
%!       for i = 1:48
%!         s = fgets (id);
%!       endfor
%!       pos_fifty = ftell (id);
%!       s_fifty = fgets (id);
%!       fseek (id, pos_one, SEEK_SET);
%!       s_one_x = fgets (id);
%!       fseek (id, pos_fifty, SEEK_SET);
%!       s_fifty_x = fgets (id);
%!       if (s_one == s_one_x && s_fifty == s_fifty_x)
%!         frewind (id);
%!         s_one_x = fgets (id);
%!         if (s_one != s_one_x)
%!           error("bombed!!");
%!         endif
%!       endif
%!     endif
%!   endif
%! endif
%! unlink (nm);

%% test/octave.test/io/fputs-1.m
%!error <Invalid call to fputs.*> fputs ();

%% test/octave.test/io/fputs-2.m
%!error <Invalid call to fputs.*> fputs (1, "foo", 1);

%% test/octave.test/io/fputs-3.m
%!assert(fputs (1, 1),-1);

%% test/octave.test/io/fgetl-1.m
%!error <Invalid call to fgetl.*> fgetl ();

%% test/octave.test/io/fgetl-2.m
%!error <Invalid call to fgetl.*> fgetl (1, 2, 3);

%% test/octave.test/io/fgetl-3.m
%!error fgetl ("foo", 1);

%% test/octave.test/io/fgets-1.m
%!error <Invalid call to fgets.*> fgets ();

%% test/octave.test/io/fgets-2.m
%!error <Invalid call to fgets.*> fgets (1, 2, 3);

%% test/octave.test/io/fgets-3.m
%!error fgets ("foo", 1);

%% test/octave.test/io/fprintf-1.m
%!error <Invalid call to fprintf.*> fprintf ();

%% test/octave.test/io/fprintf-2.m
%!error <Invalid call to fprintf.*> fprintf (1);

%% test/octave.test/io/fprintf-3.m
%!test
%! s.a = 1;
%! fail("fprintf (s)","Invalid call to fprintf.*");

%% test/octave.test/io/fprintf-4.m
%!error fprintf (1, 1);

%% test/octave.test/io/fprintf-5.m
%!error fprintf (-1, "foo");

%% test/octave.test/io/fscanf-1.m
%!error <Invalid call to fscanf.*> fscanf ();

%% test/octave.test/io/fscanf-2.m
%!error <Invalid call to fscanf.*> fscanf (1);

%% test/octave.test/io/fscanf-3.m
%!error fscanf ("foo", "bar");

%% test/octave.test/io/fread-1.m
%!error <Invalid call to fread.*> fread ();

%% test/octave.test/io/fread-2.m
%!error <Invalid call to fread.*> fread (1, 2, "char", 1, "native", 2);

%% test/octave.test/io/fread-3.m
%!error fread ("foo");

%% test/octave.test/io/fwrite-1.m
%!error <Invalid call to fwrite.*> fwrite ();

%% test/octave.test/io/fwrite-2.m
%!error <Invalid call to fwrite.*> fwrite (1, rand (10), "char", 1, "native", 2);

%% test/octave.test/io/fwrite-3.m
%!error fwrite ("foo", 1);

%% test/octave.test/io/feof-1.m
%!error <Invalid call to feof.*> feof ();

%% test/octave.test/io/feof-2.m
%!error <Invalid call to feof.*> feof (1, 2);

%% test/octave.test/io/feof-3.m
%!error feof ("foo");

%% FIXME trimerr in test.m finds and strips ".*ferror:"!!
%% So use fail for the next two tests instead.
%% test/octave.test/io/ferror-1.m
%!test
%! fail("ferror ();","Invalid call to ferror.*");

%% test/octave.test/io/ferror-2.m
%!test
%! fail("ferror (1, \"clear\", 2);","Invalid call to ferror.*"); 

%% test/octave.test/io/ferror-3.m
%!error ferror ("foo");

%% test/octave.test/io/ftell-1.m
%!error <Invalid call to ftell.*> ftell ();

%% test/octave.test/io/ftell-2.m
%!error <Invalid call to ftell.*> ftell (1, 2);

%% test/octave.test/io/ftell-3.m
%!error ftell ("foo");

%% test/octave.test/io/fseek-1.m
%!error <Invalid call to fseek.*> fseek ();

%% test/octave.test/io/fseek-2.m
%!error <Invalid call to fseek.*> fseek (1, 0, SEEK_SET, 1);

%% test/octave.test/io/fseek-3.m
%!error fseek ("foo", 0, SEEK_SET);

%% test/octave.test/io/frewind-1.m
%!error <Invalid call to frewind.*> frewind ();

%% test/octave.test/io/frewind-2.m
%!error <Invalid call to frewind.*> frewind (1, 2);

%% test/octave.test/io/frewind-3.m
%!error frewind ("foo");


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