-
-
Notifications
You must be signed in to change notification settings - Fork 45.9k
/
segment_tree_other.py
237 lines (216 loc) · 7.37 KB
/
segment_tree_other.py
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
"""
Segment_tree creates a segment tree with a given array and function,
allowing queries to be done later in log(N) time
function takes 2 values and returns a same type value
"""
from collections.abc import Sequence
from queue import Queue
class SegmentTreeNode:
def __init__(self, start, end, val, left=None, right=None):
self.start = start
self.end = end
self.val = val
self.mid = (start + end) // 2
self.left = left
self.right = right
def __repr__(self):
return f"SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})"
class SegmentTree:
"""
>>> import operator
>>> num_arr = SegmentTree([2, 1, 5, 3, 4], operator.add)
>>> tuple(num_arr.traverse()) # doctest: +NORMALIZE_WHITESPACE
(SegmentTreeNode(start=0, end=4, val=15),
SegmentTreeNode(start=0, end=2, val=8),
SegmentTreeNode(start=3, end=4, val=7),
SegmentTreeNode(start=0, end=1, val=3),
SegmentTreeNode(start=2, end=2, val=5),
SegmentTreeNode(start=3, end=3, val=3),
SegmentTreeNode(start=4, end=4, val=4),
SegmentTreeNode(start=0, end=0, val=2),
SegmentTreeNode(start=1, end=1, val=1))
>>>
>>> num_arr.update(1, 5)
>>> tuple(num_arr.traverse()) # doctest: +NORMALIZE_WHITESPACE
(SegmentTreeNode(start=0, end=4, val=19),
SegmentTreeNode(start=0, end=2, val=12),
SegmentTreeNode(start=3, end=4, val=7),
SegmentTreeNode(start=0, end=1, val=7),
SegmentTreeNode(start=2, end=2, val=5),
SegmentTreeNode(start=3, end=3, val=3),
SegmentTreeNode(start=4, end=4, val=4),
SegmentTreeNode(start=0, end=0, val=2),
SegmentTreeNode(start=1, end=1, val=5))
>>>
>>> num_arr.query_range(3, 4)
7
>>> num_arr.query_range(2, 2)
5
>>> num_arr.query_range(1, 3)
13
>>>
>>> max_arr = SegmentTree([2, 1, 5, 3, 4], max)
>>> for node in max_arr.traverse():
... print(node)
...
SegmentTreeNode(start=0, end=4, val=5)
SegmentTreeNode(start=0, end=2, val=5)
SegmentTreeNode(start=3, end=4, val=4)
SegmentTreeNode(start=0, end=1, val=2)
SegmentTreeNode(start=2, end=2, val=5)
SegmentTreeNode(start=3, end=3, val=3)
SegmentTreeNode(start=4, end=4, val=4)
SegmentTreeNode(start=0, end=0, val=2)
SegmentTreeNode(start=1, end=1, val=1)
>>>
>>> max_arr.update(1, 5)
>>> for node in max_arr.traverse():
... print(node)
...
SegmentTreeNode(start=0, end=4, val=5)
SegmentTreeNode(start=0, end=2, val=5)
SegmentTreeNode(start=3, end=4, val=4)
SegmentTreeNode(start=0, end=1, val=5)
SegmentTreeNode(start=2, end=2, val=5)
SegmentTreeNode(start=3, end=3, val=3)
SegmentTreeNode(start=4, end=4, val=4)
SegmentTreeNode(start=0, end=0, val=2)
SegmentTreeNode(start=1, end=1, val=5)
>>>
>>> max_arr.query_range(3, 4)
4
>>> max_arr.query_range(2, 2)
5
>>> max_arr.query_range(1, 3)
5
>>>
>>> min_arr = SegmentTree([2, 1, 5, 3, 4], min)
>>> for node in min_arr.traverse():
... print(node)
...
SegmentTreeNode(start=0, end=4, val=1)
SegmentTreeNode(start=0, end=2, val=1)
SegmentTreeNode(start=3, end=4, val=3)
SegmentTreeNode(start=0, end=1, val=1)
SegmentTreeNode(start=2, end=2, val=5)
SegmentTreeNode(start=3, end=3, val=3)
SegmentTreeNode(start=4, end=4, val=4)
SegmentTreeNode(start=0, end=0, val=2)
SegmentTreeNode(start=1, end=1, val=1)
>>>
>>> min_arr.update(1, 5)
>>> for node in min_arr.traverse():
... print(node)
...
SegmentTreeNode(start=0, end=4, val=2)
SegmentTreeNode(start=0, end=2, val=2)
SegmentTreeNode(start=3, end=4, val=3)
SegmentTreeNode(start=0, end=1, val=2)
SegmentTreeNode(start=2, end=2, val=5)
SegmentTreeNode(start=3, end=3, val=3)
SegmentTreeNode(start=4, end=4, val=4)
SegmentTreeNode(start=0, end=0, val=2)
SegmentTreeNode(start=1, end=1, val=5)
>>>
>>> min_arr.query_range(3, 4)
3
>>> min_arr.query_range(2, 2)
5
>>> min_arr.query_range(1, 3)
3
>>>
"""
def __init__(self, collection: Sequence, function):
self.collection = collection
self.fn = function
if self.collection:
self.root = self._build_tree(0, len(collection) - 1)
def update(self, i, val):
"""
Update an element in log(N) time
:param i: position to be update
:param val: new value
>>> import operator
>>> num_arr = SegmentTree([2, 1, 5, 3, 4], operator.add)
>>> num_arr.update(1, 5)
>>> num_arr.query_range(1, 3)
13
"""
self._update_tree(self.root, i, val)
def query_range(self, i, j):
"""
Get range query value in log(N) time
:param i: left element index
:param j: right element index
:return: element combined in the range [i, j]
>>> import operator
>>> num_arr = SegmentTree([2, 1, 5, 3, 4], operator.add)
>>> num_arr.update(1, 5)
>>> num_arr.query_range(3, 4)
7
>>> num_arr.query_range(2, 2)
5
>>> num_arr.query_range(1, 3)
13
>>>
"""
return self._query_range(self.root, i, j)
def _build_tree(self, start, end):
if start == end:
return SegmentTreeNode(start, end, self.collection[start])
mid = (start + end) // 2
left = self._build_tree(start, mid)
right = self._build_tree(mid + 1, end)
return SegmentTreeNode(start, end, self.fn(left.val, right.val), left, right)
def _update_tree(self, node, i, val):
if node.start == i and node.end == i:
node.val = val
return
if i <= node.mid:
self._update_tree(node.left, i, val)
else:
self._update_tree(node.right, i, val)
node.val = self.fn(node.left.val, node.right.val)
def _query_range(self, node, i, j):
if node.start == i and node.end == j:
return node.val
if i <= node.mid:
if j <= node.mid:
# range in left child tree
return self._query_range(node.left, i, j)
else:
# range in left child tree and right child tree
return self.fn(
self._query_range(node.left, i, node.mid),
self._query_range(node.right, node.mid + 1, j),
)
else:
# range in right child tree
return self._query_range(node.right, i, j)
def traverse(self):
if self.root is not None:
queue = Queue()
queue.put(self.root)
while not queue.empty():
node = queue.get()
yield node
if node.left is not None:
queue.put(node.left)
if node.right is not None:
queue.put(node.right)
if __name__ == "__main__":
import operator
for fn in [operator.add, max, min]:
print("*" * 50)
arr = SegmentTree([2, 1, 5, 3, 4], fn)
for node in arr.traverse():
print(node)
print()
arr.update(1, 5)
for node in arr.traverse():
print(node)
print()
print(arr.query_range(3, 4)) # 7
print(arr.query_range(2, 2)) # 5
print(arr.query_range(1, 3)) # 13
print()