forked from TheAlgorithms/Python
-
Notifications
You must be signed in to change notification settings - Fork 0
/
randomized_heap.py
222 lines (178 loc) · 5.19 KB
/
randomized_heap.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
#!/usr/bin/env python3
from __future__ import annotations
import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar
T = TypeVar("T", bound=bool)
class RandomizedHeapNode(Generic[T]):
"""
One node of the randomized heap. Contains the value and references to
two children.
"""
def __init__(self, value: T) -> None:
self._value: T = value
self.left: RandomizedHeapNode[T] | None = None
self.right: RandomizedHeapNode[T] | None = None
@property
def value(self) -> T:
"""
Return the value of the node.
>>> rhn = RandomizedHeapNode(10)
>>> rhn.value
10
>>> rhn = RandomizedHeapNode(-10)
>>> rhn.value
-10
"""
return self._value
@staticmethod
def merge(
root1: RandomizedHeapNode[T] | None, root2: RandomizedHeapNode[T] | None
) -> RandomizedHeapNode[T] | None:
"""
Merge 2 nodes together.
>>> rhn1 = RandomizedHeapNode(10)
>>> rhn2 = RandomizedHeapNode(20)
>>> RandomizedHeapNode.merge(rhn1, rhn2).value
10
>>> rhn1 = RandomizedHeapNode(20)
>>> rhn2 = RandomizedHeapNode(10)
>>> RandomizedHeapNode.merge(rhn1, rhn2).value
10
>>> rhn1 = RandomizedHeapNode(5)
>>> rhn2 = RandomizedHeapNode(0)
>>> RandomizedHeapNode.merge(rhn1, rhn2).value
0
"""
if not root1:
return root2
if not root2:
return root1
if root1.value > root2.value:
root1, root2 = root2, root1
if random.choice([True, False]):
root1.left, root1.right = root1.right, root1.left
root1.left = RandomizedHeapNode.merge(root1.left, root2)
return root1
class RandomizedHeap(Generic[T]):
"""
A data structure that allows inserting a new value and to pop the smallest
values. Both operations take O(logN) time where N is the size of the
structure.
Wiki: https://en.wikipedia.org/wiki/Randomized_meldable_heap
>>> RandomizedHeap([2, 3, 1, 5, 1, 7]).to_sorted_list()
[1, 1, 2, 3, 5, 7]
>>> rh = RandomizedHeap()
>>> rh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
>>> rh.insert(1)
>>> rh.insert(-1)
>>> rh.insert(0)
>>> rh.to_sorted_list()
[-1, 0, 1]
"""
def __init__(self, data: Iterable[T] | None = ()) -> None:
"""
>>> rh = RandomizedHeap([3, 1, 3, 7])
>>> rh.to_sorted_list()
[1, 3, 3, 7]
"""
self._root: RandomizedHeapNode[T] | None = None
if data:
for item in data:
self.insert(item)
def insert(self, value: T) -> None:
"""
Insert the value into the heap.
>>> rh = RandomizedHeap()
>>> rh.insert(3)
>>> rh.insert(1)
>>> rh.insert(3)
>>> rh.insert(7)
>>> rh.to_sorted_list()
[1, 3, 3, 7]
"""
self._root = RandomizedHeapNode.merge(self._root, RandomizedHeapNode(value))
def pop(self) -> T | None:
"""
Pop the smallest value from the heap and return it.
>>> rh = RandomizedHeap([3, 1, 3, 7])
>>> rh.pop()
1
>>> rh.pop()
3
>>> rh.pop()
3
>>> rh.pop()
7
>>> rh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
"""
result = self.top()
if self._root is None:
return None
self._root = RandomizedHeapNode.merge(self._root.left, self._root.right)
return result
def top(self) -> T:
"""
Return the smallest value from the heap.
>>> rh = RandomizedHeap()
>>> rh.insert(3)
>>> rh.top()
3
>>> rh.insert(1)
>>> rh.top()
1
>>> rh.insert(3)
>>> rh.top()
1
>>> rh.insert(7)
>>> rh.top()
1
"""
if not self._root:
raise IndexError("Can't get top element for the empty heap.")
return self._root.value
def clear(self) -> None:
"""
Clear the heap.
>>> rh = RandomizedHeap([3, 1, 3, 7])
>>> rh.clear()
>>> rh.pop()
Traceback (most recent call last):
...
IndexError: Can't get top element for the empty heap.
"""
self._root = None
def to_sorted_list(self) -> list[Any]:
"""
Returns sorted list containing all the values in the heap.
>>> rh = RandomizedHeap([3, 1, 3, 7])
>>> rh.to_sorted_list()
[1, 3, 3, 7]
"""
result = []
while self:
result.append(self.pop())
return result
def __bool__(self) -> bool:
"""
Check if the heap is not empty.
>>> rh = RandomizedHeap()
>>> bool(rh)
False
>>> rh.insert(1)
>>> bool(rh)
True
>>> rh.clear()
>>> bool(rh)
False
"""
return self._root is not None
if __name__ == "__main__":
import doctest
doctest.testmod()