# Natural Language Toolkit: Tokenizers
#
# Copyright (C) 2001-2010 NLTK Project
# Author: Yoav Goldberg <yoavg@cs.bgu.ac.il>
#         Steven Bird <sb@csse.unimelb.edu.au> (minor edits)
# URL: <http://nltk.sourceforge.net>
# For license information, see LICENSE.TXT

"""
A tokenizer that divides strings into s-expressions.  E.g.:

    >>> sexpr_tokenize('(a b (c d)) e f (g)')
    ['(a b (c d))', 'e', 'f', '(g)']
"""

import re

from api import *

class SExprTokenizer(TokenizerI):
    """
    A tokenizer that divides strings into X{s-expressions}.  An
    s-expresion can be either:
   
      - A parenthasized expression, including any nested parenthasized
        expressions.
      - A sequence of non-whitespace non-parenthasis characters.
    
    For example, the string C{'(a (b c)) d e (f)'} consists of four
    s-expressions: C{'(a (b c))'}, C{'d'}, C{'e'}, and C{'(f)'}.  
    """
    def __init__(self, parens='()', strict=True):
        """
        Construct a new SExpr tokenizer.  By default, the characters
        C{'('} and C{')'} are treated as open and close parenthases;
        but alternative strings may be specified.

        @param parens: A two-element sequence specifying the open and
            close parenthases that should be used to find sexprs.  This
            will typically be either a two-character string, or a list
            of two strings.
        @type parens: C{str} or C{list}
        @param strict: If true, then raise an exception when tokenizing
            an ill-formed sexpr.
        """
        if len(parens) != 2:
            raise ValueError('parens must contain exactly two strings')
        self._strict = strict
        self._open_paren = parens[0]
        self._close_paren = parens[1]
        self._paren_regexp = re.compile('%s|%s' % (re.escape(parens[0]),
                                                   re.escape(parens[1])))
    
    def tokenize(self, text):
        """
        Tokenize the text into s-expressions.  For example:
    
            >>> SExprTokenizer().tokenize('(a b (c d)) e f (g)')
            ['(a b (c d))', 'e', 'f', '(g)']

        All parenthases are assumed to mark sexprs.  In particular, no
        special processing is done to exclude parenthases that occur
        inside strings, or following backslash characters.

        If the given expression contains non-matching parenthases,
        then the behavior of the tokenizer depends on the C{strict}
        parameter to the constructor.  If C{strict} is C{True}, then
        raise a C{ValueError}.  If C{strict} is C{False}, then any
        unmatched close parenthases will be listed as their own
        s-expression; and the last partial sexpr with unmatched open
        parenthases will be listed as its own sexpr:

            >>> SExprTokenizer(strict=False).tokenize('c) d) e (f (g')
            ['c', ')', 'd', ')', 'e', '(f (g']
        
        @param text: the string to be tokenized
        @type text: C{string} or C{iter(string)}
        @return: An iterator over tokens (each of which is an s-expression)
        """
        result = []
        pos = 0
        depth = 0
        for m in self._paren_regexp.finditer(text):
            paren = m.group()
            if depth == 0:
                result += text[pos:m.start()].split()
                pos = m.start()
            if paren == self._open_paren:
                depth += 1
            if paren == self._close_paren:
                if self._strict and depth == 0:
                    raise ValueError('Un-matched close paren at char %d'
                                     % m.start())
                depth = max(0, depth-1)
                if depth == 0:
                    result.append(text[pos:m.end()])
                    pos = m.end()
        if self._strict and depth > 0:
            raise ValueError('Un-matched open paren at char %d' % pos)
        if pos < len(text):
            result.append(text[pos:])
        return result

sexpr_tokenize = SExprTokenizer().tokenize

def demo():
    from nltk import tokenize

    example = "d (d ((e) ((f) ss) a a c) d) r (t i) (iu a"
    example = "d [d [[e] [[f] ss] a a c] d] r [t i]"
    print 'Input text:'
    print example
    print
    print 'Tokenize s-expressions:'
    for x in SExprTokenizer('[]').tokenize(example):
        print x

if __name__ == '__main__':
    demo()