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lib/AI/Pathfinding/OptimizeMultiple/DataInputObj.pm  view on Meta::CPAN

    lazy => 1,
);

has _scan_ids_to_indexes => (
    isa     => 'HashRef[Int]',
    is      => 'ro',
    lazy    => 1,
    default => sub {
        my ($self) = @_;

        my $scan_ids = $self->get_scan_ids_aref;
        return +{ map { $scan_ids->[$_] => $_ } 0 .. $#$scan_ids };
    },
);

sub _slurp
{
    my $filename = shift;

    open my $in, "<", $filename
        or die "Could not open $filename";

    binmode $in;
    local $/;
    my $content = <$in>;
    close($in);
    return $content;
}

sub _read_text_ints_file
{
    my $self = shift;

    my $filename = shift;

    my $text = _slurp($filename);

    return [ split( /[\n\r]+/, $text ) ];
}

# Number of selected scans.
sub _num_sel_scans
{
    my $self = shift;

    return scalar( @{ $self->selected_scans() } );
}

sub _gen_initial_scans_tensor
{
    my $self       = shift;
    my $extra_dims = shift || [];

    return zeroes( $self->num_boards(), $self->_num_sel_scans, @$extra_dims );
}

sub _should_update
{
    my ( $self, $src_path, $dest_path ) = @_;

    my @orig_stat = stat($src_path);
    my @proc_stat = stat($dest_path);

    return ( ( !@proc_stat ) || ( $orig_stat[9] > $proc_stat[9] ) );
}

# Number of numbers in the header of the solutions' iteration counts
my $NUM_NUMBERS_IN_HEADER = 3;

my $HEADER_START_BOARD_IDX  = 0;
my $HEADER_NUM_BOARDS       = 1;
my $HEADER_ITERATIONS_LIMIT = 2;

sub _get_scans_data_helper
{
    my $self = shift;

    my $selected_scans = $self->selected_scans();

    my $start_board = $self->start_board();

    my $scans_data      = {};
    my $scans_lens_data = {};

    my $data_dir = ".data-proc";
    my $lens_dir = ".data-len-proc";

    mkpath( [ $data_dir, $lens_dir ] );

    foreach my $scan (@$selected_scans)
    {
        {
            my $dest_path = $data_dir . "/" . $scan->id();
            {
                if (
                    $self->_should_update(
                        $scan->data_file_path(), $dest_path
                    )
                    )
                {
                    my $data_s = _slurp( $scan->data_file_path() );
                    my @array  = unpack( "l*", $data_s );
                    if (   ( $array[$HEADER_START_BOARD_IDX] != 1 )
                        || ( $array[$HEADER_NUM_BOARDS] < $self->num_boards ) )
                    {
                        die "Incorrect file format in scan "
                            . $scan->{'id'} . "!\n";
                    }

                    my $c = pdl( \@array );

                    writefraw( $c, $dest_path );
                }
            }
            {
                my $start_idx = $NUM_NUMBERS_IN_HEADER + ( $start_board - 1 );
                my $scan_vec  = readfraw($dest_path);
                $scans_data->{ $scan->id() } =
                    $scan_vec->slice( $start_idx . ":"
                        . ( $start_idx + $self->num_boards() - 1 ) );
            }
        }

lib/AI/Pathfinding/OptimizeMultiple/DataInputObj.pm  view on Meta::CPAN

                        \@iters,
                        $self->_read_text_ints_file(
                            "data/" . $scan->id() . ".fcs.moves.txt"
                        ),
                        $self->_read_text_ints_file(
                            "data/" . $scan->id() . ".fcpro.moves.txt"
                        ),
                    ]
                );

                writefraw( $c, $dest );
            }
            {
                my $scan_vec = readfraw($dest);
                $scans_lens_data->{ $scan->id() } = $scan_vec->slice(
                    sprintf( "%d:%d,:,*",
                        ( $start_board - 1 ),
                        ( ( $self->num_boards() - 1 ) + ( $start_board - 1 ) ) )
                )->xchg( 1, 2 );
            }
        }
    }

    return { 'scans' => $scans_data, 'with_lens' => $scans_lens_data };
}

sub _get_scans_data_generic
{
    my ( $self, $id ) = @_;

    return $self->_get_scans_data_helper()->{$id};
}

sub get_scans_iters_pdls
{
    my $self = shift;

    return $self->_get_scans_data_generic('scans');
}

sub get_scans_lens_iters_pdls
{
    my $self = shift;

    return $self->_get_scans_data_generic('with_lens');
}

sub _filter_scans_based_on_black_list_ids
{
    my ( $scans, $black_list_ids ) = @_;

    my %black_list = ( map { /(\d+)/ ? ( $1 => 1 ) : () } @$black_list_ids );

    return [ grep { !exists( $black_list{ $_->id() } ) } @$scans ];
}

sub _is_scan_suitable
{
    my ( $self, $scan ) = @_;

    my @stat = stat( $scan->data_file_path() );
    return (
        scalar(@stat)
            && ( $stat[7] >=
            12 + ( $self->num_boards() + $self->start_board() - 1 ) * 4 )
    );
}

sub _get_scans_registry_file_path
{
    return "scans.txt";
}

sub _get_all_scans_list_from_file
{
    my $self = shift;

    my @scans;

    my $scans_fn = $self->_get_scans_registry_file_path;

    open my $scans_fh, "<", $scans_fn
        or die "Could not open '$scans_fn' - $!.";
    while ( my $line = <$scans_fh> )
    {
        chomp($line);
        my ( $id, $cmd_line ) = split( /\t/, $line );
        push @scans,
            AI::Pathfinding::OptimizeMultiple::Scan->new(
            id       => $id,
            cmd_line => $cmd_line
            );
    }
    close($scans_fh);

    return \@scans;
}

sub _black_list_ids_list
{
    my $self = shift;

    open my $black_list_fh, "<", "scans-black-list.txt"
        or die "Could not open 'scans-black-list.txt'! $!.";
    my @black_list_ids = <$black_list_fh>;
    chomp(@black_list_ids);
    close($black_list_fh);

    return \@black_list_ids;
}

sub _suitable_scans_list
{
    my $self = shift;

    return [ grep { $self->_is_scan_suitable($_) }
            @{ $self->_get_all_scans_list_from_file() } ];
}

sub _calc_selected_scan_list
{