This file is indexed.

/usr/lib/python2.7/dist-packages/unicodecsv/py2.py is in python-unicodecsv 0.14.1-1.

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
 71
 72
 73
 74
 75
 76
 77
 78
 79
 80
 81
 82
 83
 84
 85
 86
 87
 88
 89
 90
 91
 92
 93
 94
 95
 96
 97
 98
 99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
# -*- coding: utf-8 -*-
import csv
import numbers

from itertools import izip

pass_throughs = [
    'register_dialect',
    'unregister_dialect',
    'get_dialect',
    'list_dialects',
    'field_size_limit',
    'Dialect',
    'excel',
    'excel_tab',
    'Sniffer',
    'QUOTE_ALL',
    'QUOTE_MINIMAL',
    'QUOTE_NONNUMERIC',
    'QUOTE_NONE',
    'Error'
]
__all__ = [
    'reader',
    'writer',
    'DictReader',
    'DictWriter',
] + pass_throughs

for prop in pass_throughs:
    globals()[prop] = getattr(csv, prop)


def _stringify(s, encoding, errors):
    if s is None:
        return ''
    if isinstance(s, unicode):
        return s.encode(encoding, errors)
    elif isinstance(s, numbers.Number):
        pass  # let csv.QUOTE_NONNUMERIC do its thing.
    elif not isinstance(s, str):
        s = str(s)
    return s


def _stringify_list(l, encoding, errors='strict'):
    try:
        return [_stringify(s, encoding, errors) for s in iter(l)]
    except TypeError as e:
        raise csv.Error(str(e))


def _unicodify(s, encoding):
    if s is None:
        return None
    if isinstance(s, (unicode, int, float)):
        return s
    elif isinstance(s, str):
        return s.decode(encoding)
    return s


class UnicodeWriter(object):
    """
    >>> import unicodecsv
    >>> from cStringIO import StringIO
    >>> f = StringIO()
    >>> w = unicodecsv.writer(f, encoding='utf-8')
    >>> w.writerow((u'é', u'ñ'))
    >>> f.seek(0)
    >>> r = unicodecsv.reader(f, encoding='utf-8')
    >>> row = r.next()
    >>> row[0] == u'é'
    True
    >>> row[1] == u'ñ'
    True
    """
    def __init__(self, f, dialect=csv.excel, encoding='utf-8', errors='strict',
                 *args, **kwds):
        self.encoding = encoding
        self.writer = csv.writer(f, dialect, *args, **kwds)
        self.encoding_errors = errors

    def writerow(self, row):
        return self.writer.writerow(
                _stringify_list(row, self.encoding, self.encoding_errors))

    def writerows(self, rows):
        for row in rows:
            self.writerow(row)

    @property
    def dialect(self):
        return self.writer.dialect
writer = UnicodeWriter


class UnicodeReader(object):
    def __init__(self, f, dialect=None, encoding='utf-8', errors='strict',
                 **kwds):

        format_params = ['delimiter', 'doublequote', 'escapechar',
                         'lineterminator', 'quotechar', 'quoting',
                         'skipinitialspace']

        if dialect is None:
            if not any([kwd_name in format_params
                        for kwd_name in kwds.keys()]):
                dialect = csv.excel
        self.reader = csv.reader(f, dialect, **kwds)
        self.encoding = encoding
        self.encoding_errors = errors
        self._parse_numerics = bool(
            self.dialect.quoting & csv.QUOTE_NONNUMERIC)

    def next(self):
        row = self.reader.next()
        encoding = self.encoding
        encoding_errors = self.encoding_errors
        unicode_ = unicode
        if self._parse_numerics:
            float_ = float
            return [(value if isinstance(value, float_) else
                    unicode_(value, encoding, encoding_errors))
                    for value in row]
        else:
            return [unicode_(value, encoding, encoding_errors)
                    for value in row]

    def __iter__(self):
        return self

    @property
    def dialect(self):
        return self.reader.dialect

    @property
    def line_num(self):
        return self.reader.line_num
reader = UnicodeReader


class DictWriter(csv.DictWriter):
    """
    >>> from cStringIO import StringIO
    >>> f = StringIO()
    >>> w = DictWriter(f, ['a', u'ñ', 'b'], restval=u'î')
    >>> w.writerow({'a':'1', u'ñ':'2'})
    >>> w.writerow({'a':'1', u'ñ':'2', 'b':u'ø'})
    >>> w.writerow({'a':u'é', u'ñ':'2'})
    >>> f.seek(0)
    >>> r = DictReader(f, fieldnames=['a', u'ñ'], restkey='r')
    >>> r.next() == {'a': u'1', u'ñ':'2', 'r': [u'î']}
    True
    >>> r.next() == {'a': u'1', u'ñ':'2', 'r': [u'\xc3\xb8']}
    True
    >>> r.next() == {'a': u'\xc3\xa9', u'ñ':'2', 'r': [u'\xc3\xae']}
    True
    """
    def __init__(self, csvfile, fieldnames, restval='',
                 extrasaction='raise', dialect='excel', encoding='utf-8',
                 errors='strict', *args, **kwds):
        self.encoding = encoding
        csv.DictWriter.__init__(self, csvfile, fieldnames, restval,
                                extrasaction, dialect, *args, **kwds)
        self.writer = UnicodeWriter(csvfile, dialect, encoding=encoding,
                                    errors=errors, *args, **kwds)
        self.encoding_errors = errors

    def writeheader(self):
        header = dict(zip(self.fieldnames, self.fieldnames))
        self.writerow(header)


class DictReader(csv.DictReader):
    """
    >>> from cStringIO import StringIO
    >>> f = StringIO()
    >>> w = DictWriter(f, fieldnames=['name', 'place'])
    >>> w.writerow({'name': 'Cary Grant', 'place': 'hollywood'})
    >>> w.writerow({'name': 'Nathan Brillstone', 'place': u'øLand'})
    >>> w.writerow({'name': u'Will ø. Unicoder', 'place': u'éSpandland'})
    >>> f.seek(0)
    >>> r = DictReader(f, fieldnames=['name', 'place'])
    >>> print r.next() == {'name': 'Cary Grant', 'place': 'hollywood'}
    True
    >>> print r.next() == {'name': 'Nathan Brillstone', 'place': u'øLand'}
    True
    >>> print r.next() == {'name': u'Will ø. Unicoder', 'place': u'éSpandland'}
    True
    """
    def __init__(self, csvfile, fieldnames=None, restkey=None, restval=None,
                 dialect='excel', encoding='utf-8', errors='strict', *args,
                 **kwds):
        if fieldnames is not None:
            fieldnames = _stringify_list(fieldnames, encoding)
        csv.DictReader.__init__(self, csvfile, fieldnames, restkey, restval,
                                dialect, *args, **kwds)
        self.reader = UnicodeReader(csvfile, dialect, encoding=encoding,
                                    errors=errors, *args, **kwds)
        if fieldnames is None and not hasattr(csv.DictReader, 'fieldnames'):
            # Python 2.5 fieldnames workaround.
            # See http://bugs.python.org/issue3436
            reader = UnicodeReader(csvfile, dialect, encoding=encoding,
                                   *args, **kwds)
            self.fieldnames = _stringify_list(reader.next(), reader.encoding)

        if self.fieldnames is not None:
            self.unicode_fieldnames = [_unicodify(f, encoding) for f in
                                       self.fieldnames]
        else:
            self.unicode_fieldnames = []

        self.unicode_restkey = _unicodify(restkey, encoding)

    def next(self):
        row = csv.DictReader.next(self)
        result = dict((uni_key, row[str_key]) for (str_key, uni_key) in
                      izip(self.fieldnames, self.unicode_fieldnames))
        rest = row.get(self.restkey)
        if rest:
            result[self.unicode_restkey] = rest
        return result