AI-Pathfinding-SMAstar
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lib/AI/Pathfinding/SMAstar.pm view on Meta::CPAN
}
else{
my $num_successors = 0;
# loop over the elements in the priority queue
while(!$$priority_queue->is_empty()){
# determine the current size of the queue
my $num_states_in_queue = $$priority_queue->{_size};
# get the best candidate for expansion from the queue
$best = $$priority_queue->deepest_lowest_cost_leaf_dont_remove();
#------------------------------------------------------
if(!$DEBUG){
my $str = $log_function->($best);
$show_prog_func->($iteration, $num_states_in_queue, $str);
}
else{
my $str = $log_function->($best);
print "best is: " . $str_function->($best) . ", cost: " . $best->{_f_cost} . "\n";
}
#------------------------------------------------------
if($best->$goal_p()) {
# goal achieved! iteration: $iteration, number of
# states in queue: $num_states_in_queue.
return $best;
}
elsif($best->{_f_cost} >= $max_cost){
croak "\n\nSearch unsuccessful. max_cost reached (cost: $max_cost).\n";
}
else{
my $successors_iterator = $best->$successors_func();
my $succ = $successors_iterator->();
if($succ){
# if succ is at max depth and is not a goal node, set succ->fcost to infinity
if($succ->depth() >= $max_depth && !$succ->$goal_p() ){
$succ->{_f_cost} = $max_cost;
}
else{
# calling eval for comparison, and maintaining pathmax property
$succ->{_f_cost} = max($eval_func->($succ), $eval_func->($best));
my $descendant_index = $succ->{_descendant_index};
$best->{_descendant_fcosts}->[$descendant_index] = $succ->{_f_cost};
}
}
# determine if $best is completed, and if so backup values
if($best->is_completed()){
# remove from queue first, back up fvals, then insert back on queue.
# this way, it gets placed in its rightful place on the queue.
my $fval_before_backup = $best->{_f_cost};
# STEPS:
# 1) remove best and all antecedents from queue, but only if they are
# going to be altered by backing-up fvals. This is because
# removing and re-inserting in queue changes temporal ordering,
# and we don't want to do that unless the node will be
# placed in a new cost-bucket/tree.
# 2) then backup fvals
# 3) then re-insert best and all antecedents back on queue.
# Check if need for backup fvals
$best->check_need_fval_change();
my $cmp_func = sub {
my ($str) = @_;
return sub{
my ($obj) = @_;
my $obj_path_str = $str_function->($obj);
if($obj_path_str eq $str){
return 1;
}
else{
return 0;
}
}
};
my $antecedent = $best->{_antecedent};
my %was_on_queue;
my $i = 0;
# Now remove the offending nodes from queue, if any
if($best->need_fval_change()){
# remove best from the queue
$best = $$priority_queue->deepest_lowest_cost_leaf();
while($antecedent){
my $path_str = $str_function->($antecedent);
if($antecedent->is_on_queue() && $antecedent->need_fval_change()){
$was_on_queue{$i} = 1;
$$priority_queue->remove($antecedent, $cmp_func->($path_str));
}
$antecedent = $antecedent->{_antecedent};
$i++;
}
}
# Backup fvals
if($best->need_fval_change()){
$best->$backup_func();
}
# Put everything back on the queue
if($best->need_fval_change()){
$$priority_queue->insert($best);
my $antecedent = $best->{_antecedent};
my $i = 0;
while($antecedent){
if($was_on_queue{$i} && $antecedent->need_fval_change()){
# the antecedent needed fval change too.
$$priority_queue->insert($antecedent);
}
if($antecedent->need_fval_change()){
# set need_fval_change back to 0, so it will not be automatically seen as
# needing changed in the future. This is important, since we do not want
# to remove an element from the queue *unless* we need to change the fcost.
# This is because when we remove it from the queue and re-insert it, it
# loses its seniority in the queue (it becomes the newest node at its cost
# and depth) and will not be removed at the right time when searching for
# deepest_lowest_cost_leafs or shallowest_highest_cost_leafs.
$antecedent->{_need_fcost_change} = 0;
}
$antecedent = $antecedent->{_antecedent};
$i++;
}
# Again, set need_fval_change back to 0, so it will not be automatically
# seen as needing changed in the future.
$best->{_need_fcost_change} = 0;
}
}
#
# If best's descendants are all in memory, mark best as completed.
#
if($best->all_in_memory()) {
if(!($best->is_completed())){
$best->is_completed(1);
}
my $cmp_func = sub {
my ($str) = @_;
return sub{
my ($obj) = @_;
my $obj_str = $str_function->($obj);
if($obj_str eq $str){
return 1;
}
else{
return 0;
}
}
};
my $best_str = $str_function->($best);
# If best is not a root node
if($best->{_depth} != 0){
# descendant index is the unique index indicating which descendant
# this node is of its antecedent.
my $descendant_index = $best->{_descendant_index};
my $antecedent = $best->{_antecedent};
$$priority_queue->remove($best, $cmp_func->($best_str));
if($antecedent){
$antecedent->{_descendants_produced}->[$descendant_index] = 0;
}
}
}
# there are no more successors of $best
if(!$succ){
next;
}
my $antecedent;
my @antecedents_that_need_to_be_inserted;
# If the maximum number of states in the queue has been reached,
# we need to remove the shallowest-highest-cost leaf to make room
# for more nodes. That means we have to make sure that the antecedent
# produces this descendant again at some point in the future if needed.
if($num_states_in_queue > $max_states_in_queue){
my $shcl_obj = $$priority_queue->shallowest_highest_cost_leaf($best, $succ, $str_function);
if(!$shcl_obj){
croak "Error while pruning queue: shallowest-highest-cost-leaf was null\n";
}
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