use Data::Dumper; use PDL; use PDL::Fit::Levmar; use PDL::Fit::Levmar::Func; use PDL::NiceSlice; use PDL::Core ':Internal'; # For topdl() use strict; use vars ( '$testno', '$ok_count', '$not_ok_count', '@g', '$Gf', '$Gh', '$Type'); # @g is global options to levmar @g = ( NOCOVAR => undef ); $ok_count = 0; $not_ok_count = 0; sub tapprox { my($a,$b) = @_; my $c = abs(topdl($a)-topdl($b)); my $d = max($c); $d < 0.0001; } sub ok { my ($v, $s) = @_; $testno = 0 unless defined $testno; $testno++; $s = '' unless defined $s; if ( not $v ) { print "not "; $s = " *** " . $s; $not_ok_count++; } else { $ok_count++; } print "ok - $testno $s\n"; } # used to check some return types to make sure computaton was float sub check_type { my (@d) = @_; my $i=0; foreach ( @d ) { die "$i: not $Type" unless $Type == $_->type; $i++; } } sub dimst { my $x = shift; return "(" . join(',',$x->dims) . ")"; } sub deb { print STDERR $_[0],"\n" } sub cpr { print $_[0],"\n" } cpr "# Test implicit threading over lemvar()"; cpr "# Compiling fit function..."; # Need to use jacobian so fitting is more robust $Gf = ' function x = p0 * exp( -t*t * p1); jacobian FLOAT ex, arg; loop arg = -t*t * p1; ex = exp(arg); d0 = ex; d1 = -p0 * t*t * ex ; '; =pod $Gf = ' function x = p0 * exp( -t*t * p1); '; =cut $Gh = levmar_func(FUNC=>$Gf); cpr "# Done compiling fit function."; sub keep_work_space { my $n = 100; my $A = 10; my $t = sequence($Type, $n); $t *= $A/$n; $t -= $A/2; my $x = zeroes($Type,$n); my $p = pdl($Type, 1,2); my $ip = pdl($Type, 3,4); $x .= $p((0)) * exp(-$t*$t * $p((1)) ); my $work = PDL->null; my $h = levmar($ip,$x,$t,$Gh,@g, WORK =>$work); ok(tapprox($h->{P},$p)); check_type($h->{COVAR}); } print "1..2\n"; print "# type double\n"; $Type = double; keep_work_space(); print "# type float\n"; $Type = float; keep_work_space(); print "# Ok count: $ok_count, Not ok count: $not_ok_count\n";