ó ù`]c@sddlmZddlmZmZd„Zd„Zd„Zdefd„ƒYZ d„Z d „Z d „Z d „Z d S( iÿÿÿÿ(tfinditer(tescapetunescapeccs³t|ƒdkr!tdƒ‚nd}x…tr®y0|j||ƒ}|dkr_||fVnWn8tk rš|t|ƒkr–|t|ƒfVnPnX|t|ƒ}q*WdS(sŽ Return the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, by splitting the string at each occurrence of *sep*. >>> from nltk.tokenize.util import string_span_tokenize >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(string_span_tokenize(s, " ")) [(0, 4), (5, 12), (13, 17), (18, 26), (27, 30), (31, 36), (37, 37), (38, 44), (45, 48), (49, 55), (56, 58), (59, 73)] :param s: the string to be tokenized :type s: str :param sep: the token separator :type sep: str :rtype: iter(tuple(int, int)) is!Token delimiter must not be emptyN(tlent ValueErrortTruetindex(tstseptlefttright((s1lib/python2.7/site-packages/nltk/tokenize/util.pytstring_span_tokenize s   ccsgd}xIt||ƒD]8}|jƒ\}}||krH||fVn|}qW|t|ƒfVdS(sä Return the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, by splitting the string at each successive match of *regexp*. >>> from nltk.tokenize.util import regexp_span_tokenize >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(regexp_span_tokenize(s, r'\s')) [(0, 4), (5, 12), (13, 17), (18, 23), (24, 26), (27, 30), (31, 36), (38, 44), (45, 48), (49, 51), (52, 55), (56, 58), (59, 64), (66, 73)] :param s: the string to be tokenized :type s: str :param regexp: regular expression that matches token separators (must not be empty) :type regexp: str :rtype: iter(tuple(int, int)) iN(RtspanR(RtregexpR tmR tnext((s1lib/python2.7/site-packages/nltk/tokenize/util.pytregexp_span_tokenize/s  ccs:d}x-|D]%\}}||||fV|}q WdS(sŠ Return a sequence of relative spans, given a sequence of spans. >>> from nltk.tokenize import WhitespaceTokenizer >>> from nltk.tokenize.util import spans_to_relative >>> s = '''Good muffins cost $3.88\nin New York. Please buy me ... two of them.\n\nThanks.''' >>> list(spans_to_relative(WhitespaceTokenizer().span_tokenize(s))) [(0, 4), (1, 7), (1, 4), (1, 5), (1, 2), (1, 3), (1, 5), (2, 6), (1, 3), (1, 2), (1, 3), (1, 2), (1, 5), (2, 7)] :param spans: a sequence of (start, end) offsets of the tokens :type spans: iter(tuple(int, int)) :rtype: iter(tuple(int, int)) iN((tspanstprevR R ((s1lib/python2.7/site-packages/nltk/tokenize/util.pytspans_to_relativeJstCJKCharscBs\eZdZdZdZdZdZdZdZdZ dZ eeeeeee e gZ RS(s] An object that enumerates the code points of the CJK characters as listed on http://en.wikipedia.org/wiki/Basic_Multilingual_Plane#Basic_Multilingual_Plane This is a Python port of the CJK code point enumerations of Moses tokenizer: https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/detokenizer.perl#L309 iiÿi€.iϤi@¨i¨i¬i¯×iùiÿúi0þiOþieÿiÜÿiiÿÿ(iiÿ(i€.iϤ(i@¨i¨(i¬i¯×(iùiÿú(i0þiOþ(ieÿiÜÿ(iiÿÿ( t__name__t __module__t__doc__t Hangul_Jamot CJK_RadicalstPhags_PatHangul_SyllablestCJK_Compatibility_IdeographstCJK_Compatibility_FormstKatakana_Hangul_HalfwidthtSupplementary_Ideographic_Planetranges(((s1lib/python2.7/site-packages/nltk/tokenize/util.pyR`s$c CsWtgddddddddgD].\}}|t|ƒkoK|kn^q"ƒS(s’ Python port of Moses' code to check for CJK character. >>> CJKChars().ranges [(4352, 4607), (11904, 42191), (43072, 43135), (44032, 55215), (63744, 64255), (65072, 65103), (65381, 65500), (131072, 196607)] >>> is_cjk(u'\u33fe') True >>> is_cjk(u'\uFE5F') False :param character: The character that needs to be checked. :type character: char :return: bool iiÿi€.iϤi@¨i¨i¬i¯×iùiÿúi0þiOþieÿiÜÿiiÿÿ(iiÿ(i€.iϤ(i@¨i¨(i¬i¯×(iùiÿú(i0þiOþ(ieÿiÜÿ(iiÿÿ(tanytord(t charactertstarttend((s1lib/python2.7/site-packages/nltk/tokenize/util.pytis_cjk¢scCs3t|didd6dd6dd6dd 6d d 6ƒS( sŒ This function transforms the input text into an "escaped" version suitable for well-formed XML formatting. Note that the default xml.sax.saxutils.escape() function don't escape some characters that Moses does so we have to manually add them to the entities dictionary. >>> input_str = ''')| & < > ' " ] [''' >>> expected_output = ''')| & < > ' " ] [''' >>> escape(input_str) == expected_output True >>> xml_escape(input_str) ')| & < > ' " ] [' :param text: The text that needs to be escaped. :type text: str :rtype: str tentitiess't's"t"s|t|s[t[s]t](R(ttext((s1lib/python2.7/site-packages/nltk/tokenize/util.pyt xml_escapeÂscCs3t|didd6dd6dd6dd 6d d 6ƒS( sj This function transforms the "escaped" version suitable for well-formed XML formatting into humanly-readable string. Note that the default xml.sax.saxutils.unescape() function don't unescape some characters that Moses does so we have to manually add them to the entities dictionary. >>> from xml.sax.saxutils import unescape >>> s = ')| & < > ' " ] [' >>> expected = ''')| & < > ' " ] [''' >>> xml_unescape(s) == expected True :param text: The text that needs to be unescaped. :type text: str :rtype: str R'R(s'R)s"R*s|R+s[R,s](R(R-((s1lib/python2.7/site-packages/nltk/tokenize/util.pyt xml_unescapeâscCs†d}g}xs|D]k}y|j||ƒ}Wn)tk rZtdj||ƒƒ‚nX|t|ƒ}|j||fƒqW|S(sÅ This module attempt to find the offsets of the tokens in *s*, as a sequence of ``(start, end)`` tuples, given the tokens and also the source string. >>> from nltk.tokenize import TreebankWordTokenizer >>> from nltk.tokenize.util import align_tokens >>> s = str("The plane, bound for St Petersburg, crashed in Egypt's " ... "Sinai desert just 23 minutes after take-off from Sharm el-Sheikh " ... "on Saturday.") >>> tokens = TreebankWordTokenizer().tokenize(s) >>> expected = [(0, 3), (4, 9), (9, 10), (11, 16), (17, 20), (21, 23), ... (24, 34), (34, 35), (36, 43), (44, 46), (47, 52), (52, 54), ... (55, 60), (61, 67), (68, 72), (73, 75), (76, 83), (84, 89), ... (90, 98), (99, 103), (104, 109), (110, 119), (120, 122), ... (123, 131), (131, 132)] >>> output = list(align_tokens(tokens, s)) >>> len(tokens) == len(expected) == len(output) # Check that length of tokens and tuples are the same. True >>> expected == list(align_tokens(tokens, s)) # Check that the output is as expected. True >>> tokens == [s[start:end] for start, end in output] # Check that the slices of the string corresponds to the tokens. True :param tokens: The list of strings that are the result of tokenization :type tokens: list(str) :param sentence: The original string :type sentence: str :rtype: list(tuple(int,int)) is substring "{}" not found in "{}"(RRtformatRtappend(ttokenstsentencetpointtoffsetsttokenR$((s1lib/python2.7/site-packages/nltk/tokenize/util.pyt align_tokenss  N(treRtxml.sax.saxutilsRRR RRtobjectRR&R.R/R7(((s1lib/python2.7/site-packages/nltk/tokenize/util.pyt s "  B