-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathstudent_attendance_record.py
More file actions
135 lines (107 loc) · 3.18 KB
/
student_attendance_record.py
File metadata and controls
135 lines (107 loc) · 3.18 KB
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
import unittest
from functools import lru_cache
# see derivation of solution here:
# https://massivealgorithms.blogspot.com/2017/04/leetcode-552-student-attendance-record.html
# p(n) = a(n-1) + p(n-1) + l(n-1)
# l(n) = a(n-1) + p(n-1) + a(n-2) + p(n-2)
# a(n) = a(n-1) + a(n-2) + a(n-3)
# p(1) = 1
# l(1) = 1, l(2) = 3
# a(1) = 1, a(2) = 2, a(3) = 4
# these relations can be summarized as
# a(n) = a(n-1) + a(n-2) + a(n-3), a(1)=1, a(2)=2, a(3)=4
# p(n) = p(n-1) + p(n-2) + p(n-3) + a(n), p(0)=0, p(1)=1, p(2)=4
# note that total(n) = a(n) + p(n) + L(n)
# this simplifies to total(n) = p(n+1)
@lru_cache(maxsize=None)
def p(n: int) -> int:
if n == 1:
return 1
return a(n-1) + p(n-1) + L(n-1)
@lru_cache(maxsize=None)
def L(n: int) -> int:
if n == 1:
return 1
if n == 2:
return 3
return a(n-1) + p(n-1) + a(n-2) + p(n-2)
@lru_cache(maxsize=None)
def a(n: int) -> int:
if n == 0:
return 1
if n == 1:
return 1
if n == 2:
return 2
return a(n-1) + a(n-2) + a(n-3)
def t(n: int) -> int:
"""See derivation here: https://github.com/KerimovEmil/MathLatexDocs/blob/main/pdfs/tribonacci_numbers_main.pdf """
q1 = pow(19 + 3 * pow(33, 0.5), 1/3)
q2 = pow(19 - 3 * pow(33, 0.5), 1/3)
# x1, x2, x3 = alpha, beta, gamma = roots of x^3 = x^2 + x + 1
x1 = (1 + q1 + q2) / 3
x2 = 1/3 - (q1 + q2) / 6 + complex(0, 1) * (q1 - q2) / (2 * pow(3, 0.5))
x3 = 1/3 - (q1 + q2) / 6 - complex(0, 1) * (q1 - q2) / (2 * pow(3, 0.5))
b1 = -pow(x1, 2) + 4*x1 - 1
b2 = -pow(x2, 2) + 4*x2 - 1
b3 = -pow(x3, 2) + 4*x3 - 1
ans = pow(x1, n) / b1 + pow(x2, n) / b2 + pow(x3, n) / b3
return int(round(ans.real, 0))
def a_analytical(n: int) -> int:
"""a(n) = t(n+1)"""
return t(n+1)
def p_analytical(n: int) -> int:
ans = 1/22 * (10*n * t(n+1) + (7+5*n)*t(n) + (3+3*n)*t(n-1))
return int(round(ans, 0))
class RecurrenceTesting(unittest.TestCase):
def test_a(self):
for i in range(1, 10):
with self.subTest(f'a({i})'):
self.assertEqual(a_analytical(i), a(i))
def test_p(self):
for i in range(1, 10):
with self.subTest(f'p({i})'):
self.assertEqual(p_analytical(i), p(i))
if __name__ == '__main__':
unittest.main()
# solving for recurrence solution for p(n)
# from sympy import Symbol, Eq, solve
#
# a1 = Symbol('a1')
# a2 = Symbol('a2')
# a3 = Symbol('a3')
# a4 = Symbol('a4')
# b1 = Symbol('b1')
# b2 = Symbol('b2')
# b3 = Symbol('b3')
# b4 = Symbol('b4')
#
#
# def t(n: int) -> int:
# if n == -2:
# return 1
# if n == -1:
# return 0
# if n == 0:
# return 0
# if n == 1:
# return 1
# if n == 2:
# return 1
# return t(n-1) + t(n-2) + t(n-3)
#
# def p(n: int) -> int:
# if n == 1:
# return 1
# if n == 2:
# return 3
# if n == 3:
# return 8
# return t(n) + t(n-1) + t(n-2) + p(n-1) + p(n-2) + p(n-3)
#
# ls_eq = []
# for n in range(16):
# eq = Eq(p(n), (a1 + b1 * n) * t(n+1) + (a2 + b2 * n) * t(n) + (a3 + b3 * n) * t(n-1) + (a4 + b4 * n) * t(n-2))
# ls_eq.append(eq)
#
# ans = solve(ls_eq, (a1, a2, a3, a4, b1, b2, b3, b4))