#!/usr/bin/perl
# Marpa::R3 is Copyright (C) 2016, Jeffrey Kegler.
#
# This module is free software; you can redistribute it and/or modify it
# under the same terms as Perl 5.10.1. For more details, see the full text
# of the licenses in the directory LICENSES.
#
# This program is distributed in the hope that it will be
# useful, but it is provided “as is” and without any express
# or implied warranties. For details, see the full text of
# of the licenses in the directory LICENSES.

# CENSUS: ASIS
# Note: SLIF TEST

# This example parses ambiguous English sentences.  The target annotation
# is Penn Treebank's syntactic bracketing tags.  For details, see
# http://www.cis.upenn.edu/~treebank/

use 5.010001;
use strict;
use warnings;
use English qw( -no_match_vars );

use Test::More tests => 3;
use lib 'inc';
use Marpa::R3::Test;
use Marpa::R3;

my $dsl = <<'END_OF_SOURCE';

:default ::= action => [ values ] bless => ::lhs
lexeme default = action => [ value ] bless => ::name

S   ::= NP  VP  period  bless => S

NP  ::= NN              bless => NP
    |   NNS          bless => NP
    |   DT  NN          bless => NP
    |   NN  NNS         bless => NP
    |   NNS CC NNS  bless => NP

VP  ::= VBZ NP          bless => VP
    | VP VBZ NNS        bless => VP
    | VP CC VP bless => VP
    | VP VP CC VP bless => VP
    | VBZ bless => VP

period ~ '.'

:discard ~ whitespace
whitespace ~ [\s]+

CC ~ 'and'
DT  ~ 'a' | 'an'
NN  ~ 'panda'
NNS  ~ 'shoots' | 'leaves'
VBZ ~ 'eats' | 'shoots' | 'leaves'

END_OF_SOURCE

my $grammar = Marpa::R3::Scanless::G->new(
    { bless_package => 'PennTags', source => \$dsl, } );

my $full_expected = <<'END_OF_OUTPUT';
(S (NP (DT a) (NN panda))
   (VP (VBZ eats) (NP (NNS shoots) (CC and) (NNS leaves)))
   (. .))
(S (NP (DT a) (NN panda))
   (VP (VP (VBZ eats) (NP (NNS shoots))) (CC and) (VP (VBZ leaves)))
   (. .))
(S (NP (DT a) (NN panda))
   (VP (VP (VBZ eats)) (VP (VBZ shoots)) (CC and) (VP (VBZ leaves)))
   (. .))
END_OF_OUTPUT

my $sentence = 'a panda eats shoots and leaves.';

my @actual = ();

my $recce = Marpa::R3::Scanless::R->new( { grammar => $grammar } );

$recce->read( \$sentence );

while ( defined( my $value_ref = $recce->value() ) ) {
    my $value = $value_ref ? ${$value_ref}->bracket() : 'No parse';
    push @actual, $value;
}

Marpa::R3::Test::is( ( join "\n", sort @actual ) . "\n",
    $full_expected, 'Ambiguous English sentence using value()' );

my $panda_grammar = Marpa::R3::Scanless::G->new(
    { bless_package => 'PennTags', source => \$dsl, } );
my $panda_recce = Marpa::R3::Scanless::R->new( { grammar => $panda_grammar } );
$panda_recce->read( \$sentence );
my $asf = Marpa::R3::ASF->new( { slr=>$panda_recce } );
my $full_result = $asf->traverse( {}, \&full_traverser );
my $pruned_result = $asf->traverse( {}, \&pruning_traverser );

sub full_traverser {

    # This routine converts the glade into a list of Penn-tagged elements
    # by calling semantic action closures fetched from the recognizer.
    # It is called recursively.
    my ($glade, $scratch)     = @_;
    my $rule_id     = $glade->rule_id();
    my $symbol_id   = $glade->symbol_id();
    my $symbol_name = $panda_grammar->symbol_name($symbol_id);

    # A token is a single choice and we just return it as a literal wrapped
    # to match the rule closures parameter list
    if ( not defined $rule_id ) {
        my $literal = $glade->literal();
        my $penn_tag = penn_tag($symbol_name);
        return ["($penn_tag $literal)"];
    } ## end if ( not defined $rule_id )

    # Our result will be a list of choices
    my @return_value = ();

    CHOICE: while (1) {

        # The parse results at each position are a list of choices, so
        # to produce a new result list, we need to take a Cartesian
        # product of all the choices

# Marpa::R3::Display::Start
# name: ASF all_choices() traverser method example

        my @results = $glade->all_choices();

# Marpa::R3::Display::End

        # Special case for the start rule: just collapse one level of lists
        if ( $symbol_name eq '[:start]' ) {
            return [ map { join q{}, @{$_} } @results ];
        }

        # Now we have a list of choices, as a list of lists.  Each sub list
        # is a list of parse results, which we need to pass to the rule closures
        # and join into a single Penn-tagged element.  The result will be
        # to collapse one level of lists, and leave us with a list of
        # Penn-tagged elements.
        my $join_ws = q{ };
        $join_ws = qq{\n   } if $symbol_name eq 'S';
        push @return_value,
            map { '(' . penn_tag($symbol_name) . q{ } . ( join $join_ws, @{$_} ) . ')' }
            @results;

        # Look at the next alternative in this glade, or end the
        # loop if there is none
        last CHOICE if not defined $glade->next();

    } ## end CHOICE: while (1)

    # Return the list of Penn-tagged elements for this glade
    return \@return_value;
} ## end sub full_traverser

my $cooked_result =  join "\n", (sort @{$full_result}), q{};
Marpa::R3::Test::is( $cooked_result, $full_expected,
    'Ambiguous English sentence using ASF' );

sub penn_tag {
   my ($symbol_name) = @_;
   return q{.} if $symbol_name eq 'period';
   return $symbol_name;
}

sub pruning_traverser {

    # This routine converts the glade into a list of Penn-tagged elements.  It is called recursively.
    my ($glade, $scratch)     = @_;
    my $rule_id     = $glade->rule_id();
    my $symbol_id   = $glade->symbol_id();
    my $symbol_name = $panda_grammar->symbol_name($symbol_id);

    # A token is a single choice, and we know enough to fully Penn-tag it
    if ( not defined $rule_id ) {
        my $literal = $glade->literal();
        my $penn_tag = penn_tag($symbol_name);
        return "($penn_tag $literal)";
    }

# Marpa::R3::Display::Start
# name: ASF rh_values() traverser method example

    my @return_value = $glade->rh_values();

# Marpa::R3::Display::End

    # Special case for the start rule
    return (join q{ }, @return_value) . "\n" if  $symbol_name eq '[:start]' ;

    my $join_ws = q{ };
    $join_ws = qq{\n   } if $symbol_name eq 'S';
    my $penn_tag = penn_tag($symbol_name);
    return "($penn_tag " . ( join $join_ws, @return_value ) . ')';

}

my $pruned_expected = <<'END_OF_OUTPUT';
(S (NP (DT a) (NN panda))
   (VP (VBZ eats) (NP (NNS shoots) (CC and) (NNS leaves)))
   (. .))
END_OF_OUTPUT

Marpa::R3::Test::is( $pruned_result, $pruned_expected,
    'Ambiguous English sentence using ASF: pruned' );

package PennTags;

sub contents {
    join( $_[0], map { $_->bracket() } @{ $_[1] } );
}

sub PennTags::S::bracket { "(S " . contents( "\n   ", $_[0] ) . ")" }
sub PennTags::NP::bracket { "(NP " . contents( ' ', $_[0] ) . ")" }
sub PennTags::VP::bracket { "(VP " . contents( ' ', $_[0] ) . ")" }
sub PennTags::PP::bracket { "(PP " . contents( ' ', $_[0] ) . ")" }

sub PennTags::CC::bracket  {"(CC $_[0]->[0])"}
sub PennTags::DT::bracket  {"(DT $_[0]->[0])"}
sub PennTags::IN::bracket  {"(IN $_[0]->[0])"}
sub PennTags::NN::bracket  {"(NN $_[0]->[0])"}
sub PennTags::NNS::bracket {"(NNS $_[0]->[0])"}
sub PennTags::VB::bracket  {"(VB $_[0]->[0])"}
sub PennTags::VBP::bracket {"(VBP $_[0]->[0])"}
sub PennTags::VBZ::bracket {"(VBZ $_[0]->[0])"}

sub PennTags::period::bracket {"(. .)"}

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