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
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
|
# Copyright (C) 2003-2007, 2009-2011 Nominum, Inc.
#
# Permission to use, copy, modify, and distribute this software and its
# documentation for any purpose with or without fee is hereby granted,
# provided that the above copyright notice and this permission notice
# appear in all copies.
#
# THE SOFTWARE IS PROVIDED "AS IS" AND NOMINUM DISCLAIMS ALL WARRANTIES
# WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF
# MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL NOMINUM BE LIABLE FOR
# ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES
# WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN
# ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT
# OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
"""A simple Set class."""
class Set(object):
"""A simple set class.
Sets are not in Python until 2.3, and rdata are not immutable so
we cannot use sets.Set anyway. This class implements subset of
the 2.3 Set interface using a list as the container.
@ivar items: A list of the items which are in the set
@type items: list"""
__slots__ = ['items']
def __init__(self, items=None):
"""Initialize the set.
@param items: the initial set of items
@type items: any iterable or None
"""
self.items = []
if not items is None:
for item in items:
self.add(item)
def __repr__(self):
return "dns.simpleset.Set(%s)" % repr(self.items)
def add(self, item):
"""Add an item to the set."""
if not item in self.items:
self.items.append(item)
def remove(self, item):
"""Remove an item from the set."""
self.items.remove(item)
def discard(self, item):
"""Remove an item from the set if present."""
try:
self.items.remove(item)
except ValueError:
pass
def _clone(self):
"""Make a (shallow) copy of the set.
There is a 'clone protocol' that subclasses of this class
should use. To make a copy, first call your super's _clone()
method, and use the object returned as the new instance. Then
make shallow copies of the attributes defined in the subclass.
This protocol allows us to write the set algorithms that
return new instances (e.g. union) once, and keep using them in
subclasses.
"""
cls = self.__class__
obj = cls.__new__(cls)
obj.items = list(self.items)
return obj
def __copy__(self):
"""Make a (shallow) copy of the set."""
return self._clone()
def copy(self):
"""Make a (shallow) copy of the set."""
return self._clone()
def union_update(self, other):
"""Update the set, adding any elements from other which are not
already in the set.
@param other: the collection of items with which to update the set
@type other: Set object
"""
if not isinstance(other, Set):
raise ValueError('other must be a Set instance')
if self is other:
return
for item in other.items:
self.add(item)
def intersection_update(self, other):
"""Update the set, removing any elements from other which are not
in both sets.
@param other: the collection of items with which to update the set
@type other: Set object
"""
if not isinstance(other, Set):
raise ValueError('other must be a Set instance')
if self is other:
return
# we make a copy of the list so that we can remove items from
# the list without breaking the iterator.
for item in list(self.items):
if item not in other.items:
self.items.remove(item)
def difference_update(self, other):
"""Update the set, removing any elements from other which are in
the set.
@param other: the collection of items with which to update the set
@type other: Set object
"""
if not isinstance(other, Set):
raise ValueError('other must be a Set instance')
if self is other:
self.items = []
else:
for item in other.items:
self.discard(item)
def union(self, other):
"""Return a new set which is the union of I{self} and I{other}.
@param other: the other set
@type other: Set object
@rtype: the same type as I{self}
"""
obj = self._clone()
obj.union_update(other)
return obj
def intersection(self, other):
"""Return a new set which is the intersection of I{self} and I{other}.
@param other: the other set
@type other: Set object
@rtype: the same type as I{self}
"""
obj = self._clone()
obj.intersection_update(other)
return obj
def difference(self, other):
"""Return a new set which I{self} - I{other}, i.e. the items
in I{self} which are not also in I{other}.
@param other: the other set
@type other: Set object
@rtype: the same type as I{self}
"""
obj = self._clone()
obj.difference_update(other)
return obj
def __or__(self, other):
return self.union(other)
def __and__(self, other):
return self.intersection(other)
def __add__(self, other):
return self.union(other)
def __sub__(self, other):
return self.difference(other)
def __ior__(self, other):
self.union_update(other)
return self
def __iand__(self, other):
self.intersection_update(other)
return self
def __iadd__(self, other):
self.union_update(other)
return self
def __isub__(self, other):
self.difference_update(other)
return self
def update(self, other):
"""Update the set, adding any elements from other which are not
already in the set.
@param other: the collection of items with which to update the set
@type other: any iterable type"""
for item in other:
self.add(item)
def clear(self):
"""Make the set empty."""
self.items = []
def __eq__(self, other):
# Yes, this is inefficient but the sets we're dealing with are
# usually quite small, so it shouldn't hurt too much.
for item in self.items:
if not item in other.items:
return False
for item in other.items:
if not item in self.items:
return False
return True
def __ne__(self, other):
return not self.__eq__(other)
def __len__(self):
return len(self.items)
def __iter__(self):
return iter(self.items)
def __getitem__(self, i):
return self.items[i]
def __delitem__(self, i):
del self.items[i]
def __getslice__(self, i, j):
return self.items[i:j]
def __delslice__(self, i, j):
del self.items[i:j]
def issubset(self, other):
"""Is I{self} a subset of I{other}?
@rtype: bool
"""
if not isinstance(other, Set):
raise ValueError('other must be a Set instance')
for item in self.items:
if not item in other.items:
return False
return True
def issuperset(self, other):
"""Is I{self} a superset of I{other}?
@rtype: bool
"""
if not isinstance(other, Set):
raise ValueError('other must be a Set instance')
for item in other.items:
if not item in self.items:
return False
return True
|