
    g                         d dl mZ d Zy)    )defaultdictc                    	
 |j                         D cg c]*  }t        t        t        |j                  d                  , }}|j                         D cg c]*  }t        t        t        |j                  d                  , }}g dt	        |      j                  t	        |            
t	        |      j                  t	        |            t        t              	
D ]-  \  }}	d   j                  |       	d   j                  |       / 	
 fd}	
 fd} |         ||        ||       t        
      S c c}w c c}w )u"  
    This module symmetrisatizes the source-to-target and target-to-source
    word alignment output and produces, aka. GDFA algorithm (Koehn, 2005).

    Step 1: Find the intersection of the bidirectional alignment.

    Step 2: Search for additional neighbor alignment points to be added, given
            these criteria: (i) neighbor alignments points are not in the
            intersection and (ii) neighbor alignments are in the union.

    Step 3: Add all other alignment points that are not in the intersection, not in
            the neighboring alignments that met the criteria but in the original
            forward/backward alignment outputs.

        >>> forw = ('0-0 2-1 9-2 21-3 10-4 7-5 11-6 9-7 12-8 1-9 3-10 '
        ...         '4-11 17-12 17-13 25-14 13-15 24-16 11-17 28-18')
        >>> back = ('0-0 1-9 2-9 3-10 4-11 5-12 6-6 7-5 8-6 9-7 10-4 '
        ...         '11-6 12-8 13-12 15-12 17-13 18-13 19-12 20-13 '
        ...         '21-3 22-12 23-14 24-17 25-15 26-17 27-18 28-18')
        >>> srctext = ("この よう な ハロー 白色 わい 星 の Ｌ 関数 "
        ...            "は Ｌ と 共 に 不連続 に 増加 する こと が "
        ...            "期待 さ れる こと を 示し た 。")
        >>> trgtext = ("Therefore , we expect that the luminosity function "
        ...            "of such halo white dwarfs increases discontinuously "
        ...            "with the luminosity .")
        >>> srclen = len(srctext.split())
        >>> trglen = len(trgtext.split())
        >>>
        >>> gdfa = grow_diag_final_and(srclen, trglen, forw, back)
        >>> gdfa == sorted(set([(28, 18), (6, 6), (24, 17), (2, 1), (15, 12), (13, 12),
        ...         (2, 9), (3, 10), (26, 17), (25, 15), (8, 6), (9, 7), (20,
        ...         13), (18, 13), (0, 0), (10, 4), (13, 15), (23, 14), (7, 5),
        ...         (25, 14), (1, 9), (17, 13), (4, 11), (11, 17), (9, 2), (22,
        ...         12), (27, 18), (24, 16), (21, 3), (19, 12), (17, 12), (5,
        ...         12), (11, 6), (12, 8)]))
        True

    References:
    Koehn, P., A. Axelrod, A. Birch, C. Callison, M. Osborne, and D. Talbot.
    2005. Edinburgh System Description for the 2005 IWSLT Speech
    Translation Evaluation. In MT Eval Workshop.

    :type srclen: int
    :param srclen: the number of tokens in the source language
    :type trglen: int
    :param trglen: the number of tokens in the target language
    :type e2f: str
    :param e2f: the forward word alignment outputs from source-to-target
                language (in pharaoh output format)
    :type f2e: str
    :param f2e: the backward word alignment outputs from target-to-source
                language (in pharaoh output format)
    :rtype: set(tuple(int))
    :return: the symmetrized alignment points from the GDFA algorithm
    -))r   )r   r   )   r   )r   r   )r   r   )r   r   )r   r   )r   r   efc            
         t              dz
  } | t              k  rd}t        
      D ]  }t              D ]  }||fv s
	D ]t  }t        d t        ||f|      D              }|\  }}|vs+|vs0|v s5j	                  |       d   j	                  |       d   j	                  |       | dz  } d}v   |ry| t              k  ryy)zz
        Search for the neighbor points and them to the intersected alignment
        points if criteria are met.
        r   Tc              3   ,   K   | ]  \  }}||z     y w)N ).0ijs      H/var/www/openai/venv/lib/python3.12/site-packages/nltk/translate/gdfa.py	<genexpr>z9grow_diag_final_and.<locals>.grow_diag.<locals>.<genexpr>c   s     ,U?Ttq!QU?Ts   r   r	   FN)lenrangetuplezipadd)prev_lenno_new_pointsr   r	   neighbore_newf_newaligned	alignment	neighborssrclentrglenunions          r   	grow_diagz&grow_diag_final_and.<locals>.grow_diagR   s    
 y>A%Y' M6]vA1v*(1H',,UsAq68?T,U'UH+3LE5 !&W 4g9M"*e"3 )h 7 ' 0 0 7 ' 0 0 7 (A05 )2	 ' #( 1 Y'    c                     t              D ]^  }t              D ]N  }|vs|vs||fv sj                  ||f       d   j                  |       d   j                  |       P ` y)z
        Adds remaining points that are not in the intersection, not in the
        neighboring alignments but in the original *e2f* and *f2e* alignments
        r   r	   N)r   r   )ar   r   r   r   r   r    r!   s      r   	final_andz&grow_diag_final_and.<locals>.final_ands   ss     6]Ev (W,%/MM5%.1CL$$U+CL$$U+ ' #r#   )
splitr   mapintsetintersectionr!   r   r   sorted)r   r    e2ff2er%   r   r   r"   r&   r   r   r   r!   s   ``       @@@@r   grow_diag_final_andr/      s   t 36))+
>+Q5S!''#,'(+C
>25))+
>+Q5S!''#,'(+C
>VIC%%c#h/IHNN3s8$E #G1  B, ,( KcNcN)K ?
>s   /E/EN)collectionsr   r/   r   r#   r   <module>r1      s    $r#   