/usr/lib/python3/dist-packages/unicodecsv/py2.py is in python3-unicodecsv 0.14.1-1.
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| 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
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