This file is indexed.

/usr/share/pyshared/translate/lang/zh.py is in translate-toolkit 1.10.0-2.

This file is owned by root:root, with mode 0o644.

The actual contents of the file can be viewed below.

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2007 Zuza Software Foundation
#
# This file is part of translate.
#
# translate is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# translate is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, see <http://www.gnu.org/licenses/>.

"""This module represents the Chinese language (Both tradisional and simplified).

.. seealso:: http://en.wikipedia.org/wiki/Chinese_language
"""

import re

from translate.lang import common


class zh(common.Common):
    """This class represents Chinese."""

    listseperator = u"、"

    sentenceend = u"。!?…"

    # Compared to common.py, we make the space after the sentence ending
    # optional and don't demand an uppercase letter to follow.
    sentencere = re.compile(r"""(?s) # make . also match newlines
                            .*?      # any text, but match non-greedy
                            [%s]     # the puntuation for sentence ending
                            \s*      # the optional space after the puntuation
                            """ % sentenceend, re.VERBOSE)

    # The following transformation rules should be mostly useful for all types
    # of Chinese. The comma (,) is not handled here, since it maps to two
    # different characters, depending on context.
    # If comma is used as seperation of sentence, it should be converted to a
    # fullwidth comma (","). If comma is used as seperation of list items
    # like "apple, orange, grape, .....", "、" is used.
    puncdict = {
        u". ": u"。",
        u"; ": u";",
        u": ": u":",
        u"! ": u"!",
        u"? ": u"?",
        u".\n": u"。\n",
        u";\n": u";\n",
        u":\n": u":\n",
        u"!\n": u"!\n",
        u"?\n": u"?",
        u"% ": u"%",
    }

    def length_difference(cls, length):
        return 10 - length / 2
    length_difference = classmethod(length_difference)

    ignoretests = ["startcaps", "simplecaps"]