Implementing RDF/XML serialisation using meta-data attributes.
[PyCIM.git] / schemata / CIM14 / IEC61968 / Common / TownDetail.py
blobfe8bcca6cc5cf42f08a0c70412ba42c10cda26cf
1 # Copyright (C) 2010 Richard Lincoln
3 # This library is free software; you can redistribute it and/or
4 # modify it under the terms of the GNU Lesser General Public
5 # License as published by the Free Software Foundation; either
6 # version 2.1 of the License, or (at your option) any later version.
8 # This library is distributed in the hope that it will be useful,
9 # but WITHOUT ANY WARRANTY; without even the implied warranty of
10 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
11 # Lesser General Public License for more details.
13 # You should have received a copy of the GNU Lesser General Public
14 # License along with this library; if not, write to the Free Software
15 # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA, USA
17 from CIM14.Element import Element
19 class TownDetail(Element):
20 """Town details, in the context of address.
21 """
23 def __init__(self, code='', country='', stateOrProvince='', name='', section='', *args, **kw_args):
24 """Initialises a new 'TownDetail' instance.
26 @param code: Town code.
27 @param country: Name of the country.
28 @param stateOrProvince: Name of the state or province.
29 @param name: Town name.
30 @param section: Town section. For example, it is common for there to be 36 sections per township.
31 """
32 #: Town code.
33 self.code = code
35 #: Name of the country.
36 self.country = country
38 #: Name of the state or province.
39 self.stateOrProvince = stateOrProvince
41 #: Town name.
42 self.name = name
44 #: Town section. For example, it is common for there to be 36 sections per township.
45 self.section = section
47 super(TownDetail, self).__init__(*args, **kw_args)
49 _attrs = ["code", "country", "stateOrProvince", "name", "section"]
50 _attr_types = {"code": str, "country": str, "stateOrProvince": str, "name": str, "section": str}
51 _defaults = {"code": '', "country": '', "stateOrProvince": '', "name": '', "section": ''}
52 _enums = {}
53 _refs = []
54 _many_refs = []