content stringlengths 7 1.05M | fixed_cases stringlengths 1 1.28M |
|---|---|
"""
Distributed optimal power flow for DC networks.
"""
| """
Distributed optimal power flow for DC networks.
""" |
"""
PASSENGERS
"""
numPassengers = 11416
passenger_arriving = (
(2, 4, 1, 3, 2, 0, 2, 2, 1, 1, 1, 0, 0, 1, 2, 2, 1, 3, 2, 2, 0, 2, 1, 1, 1, 0), # 0
(4, 1, 4, 4, 1, 1, 1, 2, 1, 1, 1, 0, 0, 4, 4, 3, 3, 6, 0, 1, 1, 0, 1, 0, 1, 0), # 1
(2, 3, 3, 0, 2, 0, 2, 1, 1, 0, 0, 0, 0, 1, 7, 3, 5, 1, 2, 3, 0, 2, 0, 0, 0, 0), # 2
(2, 4, 2, 4, 2, 1, 3, 2, 3, 0, 0, 0, 0, 3, 5, 3, 4, 4, 2, 2, 2, 2, 0, 0, 0, 0), # 3
(5, 3, 8, 3, 2, 0, 1, 2, 4, 1, 2, 0, 0, 2, 6, 1, 2, 4, 2, 2, 1, 1, 2, 0, 0, 0), # 4
(4, 2, 3, 4, 2, 1, 1, 3, 2, 1, 1, 1, 0, 1, 5, 1, 1, 2, 3, 1, 2, 4, 2, 1, 1, 0), # 5
(6, 1, 4, 4, 2, 1, 2, 3, 0, 0, 2, 0, 0, 8, 5, 3, 2, 5, 2, 3, 1, 2, 0, 0, 0, 0), # 6
(4, 5, 4, 4, 4, 2, 3, 0, 2, 0, 1, 0, 0, 6, 4, 2, 4, 4, 4, 1, 2, 1, 1, 1, 2, 0), # 7
(3, 6, 1, 5, 0, 0, 1, 1, 1, 0, 0, 1, 0, 7, 4, 2, 9, 4, 1, 6, 1, 2, 1, 0, 0, 0), # 8
(7, 7, 2, 4, 3, 2, 3, 4, 1, 2, 0, 1, 0, 4, 4, 3, 5, 4, 4, 1, 1, 0, 2, 2, 0, 0), # 9
(4, 8, 5, 2, 1, 1, 3, 3, 2, 1, 0, 1, 0, 2, 2, 4, 1, 4, 4, 3, 2, 2, 0, 0, 0, 0), # 10
(5, 7, 7, 2, 3, 2, 2, 2, 1, 1, 1, 0, 0, 5, 6, 4, 5, 7, 1, 0, 1, 2, 1, 1, 1, 0), # 11
(4, 5, 7, 1, 7, 1, 2, 2, 1, 0, 0, 1, 0, 5, 2, 4, 2, 2, 4, 3, 1, 1, 1, 1, 0, 0), # 12
(5, 6, 7, 4, 4, 1, 3, 4, 4, 3, 0, 0, 0, 0, 7, 3, 2, 6, 4, 4, 5, 2, 5, 0, 1, 0), # 13
(10, 6, 9, 3, 7, 0, 4, 1, 0, 1, 1, 1, 0, 3, 2, 4, 2, 4, 4, 1, 1, 2, 0, 1, 0, 0), # 14
(5, 7, 3, 6, 6, 1, 0, 2, 2, 1, 1, 0, 0, 1, 5, 2, 3, 2, 4, 2, 1, 1, 2, 0, 1, 0), # 15
(3, 4, 4, 3, 5, 1, 1, 1, 2, 1, 0, 0, 0, 4, 6, 4, 3, 7, 4, 2, 2, 1, 1, 2, 0, 0), # 16
(5, 3, 5, 5, 4, 0, 4, 0, 5, 1, 2, 0, 0, 3, 5, 3, 2, 2, 3, 3, 0, 1, 4, 0, 1, 0), # 17
(6, 10, 5, 3, 4, 4, 6, 2, 0, 1, 0, 0, 0, 2, 5, 4, 4, 0, 7, 3, 0, 3, 2, 0, 0, 0), # 18
(6, 6, 4, 6, 4, 1, 0, 1, 2, 1, 1, 0, 0, 6, 6, 6, 4, 2, 4, 2, 2, 3, 2, 0, 1, 0), # 19
(7, 9, 3, 6, 6, 4, 2, 1, 4, 1, 2, 0, 0, 7, 2, 8, 6, 4, 2, 2, 0, 2, 2, 0, 1, 0), # 20
(5, 5, 4, 5, 8, 1, 1, 5, 2, 2, 2, 0, 0, 10, 4, 1, 4, 5, 2, 5, 4, 5, 0, 0, 0, 0), # 21
(5, 11, 7, 3, 3, 2, 6, 3, 1, 0, 0, 0, 0, 7, 6, 1, 5, 4, 3, 2, 0, 2, 2, 1, 0, 0), # 22
(5, 4, 5, 5, 5, 0, 2, 2, 3, 0, 2, 1, 0, 1, 3, 4, 7, 4, 4, 4, 1, 2, 1, 1, 0, 0), # 23
(3, 5, 4, 5, 2, 4, 1, 3, 4, 1, 0, 1, 0, 8, 9, 6, 3, 5, 0, 4, 1, 3, 2, 3, 0, 0), # 24
(9, 7, 4, 5, 4, 3, 1, 1, 0, 2, 0, 0, 0, 5, 10, 4, 1, 6, 2, 0, 2, 0, 2, 0, 0, 0), # 25
(9, 5, 6, 1, 2, 2, 3, 2, 0, 2, 0, 1, 0, 7, 2, 3, 5, 4, 0, 1, 3, 2, 2, 1, 0, 0), # 26
(9, 4, 1, 5, 5, 2, 3, 2, 3, 0, 1, 1, 0, 8, 5, 7, 7, 5, 3, 2, 0, 5, 3, 1, 0, 0), # 27
(11, 6, 4, 8, 4, 3, 4, 2, 3, 3, 0, 0, 0, 6, 11, 3, 1, 3, 1, 0, 1, 2, 3, 0, 2, 0), # 28
(5, 7, 5, 6, 5, 2, 3, 3, 2, 0, 1, 0, 0, 7, 7, 1, 6, 7, 2, 0, 3, 4, 4, 0, 0, 0), # 29
(3, 7, 3, 10, 3, 1, 5, 1, 2, 0, 0, 1, 0, 5, 6, 4, 6, 5, 4, 3, 1, 4, 1, 1, 1, 0), # 30
(7, 5, 8, 5, 5, 4, 1, 1, 0, 0, 2, 0, 0, 4, 8, 10, 2, 6, 4, 2, 1, 4, 0, 0, 0, 0), # 31
(6, 4, 7, 2, 5, 2, 1, 3, 2, 0, 1, 1, 0, 6, 6, 2, 4, 3, 2, 3, 2, 1, 1, 1, 1, 0), # 32
(4, 7, 5, 7, 5, 0, 3, 1, 3, 0, 2, 1, 0, 4, 5, 7, 2, 6, 2, 2, 0, 1, 5, 0, 0, 0), # 33
(8, 9, 7, 6, 2, 0, 3, 3, 3, 2, 0, 0, 0, 9, 3, 3, 2, 1, 2, 3, 3, 2, 1, 0, 0, 0), # 34
(3, 4, 5, 6, 2, 2, 2, 3, 1, 2, 2, 0, 0, 6, 3, 5, 4, 6, 4, 4, 0, 4, 0, 2, 2, 0), # 35
(6, 10, 7, 9, 6, 2, 2, 4, 2, 2, 0, 0, 0, 4, 6, 4, 2, 7, 6, 4, 1, 1, 0, 0, 1, 0), # 36
(9, 10, 3, 6, 1, 2, 2, 4, 3, 3, 0, 1, 0, 5, 4, 5, 6, 6, 2, 2, 0, 1, 3, 0, 1, 0), # 37
(0, 6, 5, 2, 9, 0, 1, 1, 5, 1, 0, 0, 0, 4, 5, 5, 6, 4, 3, 5, 2, 4, 0, 0, 1, 0), # 38
(6, 6, 4, 4, 6, 3, 3, 3, 2, 3, 2, 1, 0, 9, 5, 4, 0, 3, 3, 0, 2, 0, 0, 1, 0, 0), # 39
(9, 4, 9, 4, 6, 3, 1, 3, 1, 1, 1, 0, 0, 7, 3, 3, 2, 5, 3, 4, 2, 3, 4, 0, 2, 0), # 40
(2, 3, 4, 5, 2, 3, 3, 2, 1, 1, 1, 1, 0, 4, 3, 2, 3, 6, 6, 4, 3, 5, 1, 2, 0, 0), # 41
(5, 6, 6, 5, 2, 0, 2, 1, 2, 1, 1, 0, 0, 6, 5, 4, 2, 7, 2, 2, 0, 1, 0, 0, 2, 0), # 42
(8, 5, 6, 3, 6, 2, 1, 2, 3, 1, 1, 1, 0, 6, 6, 1, 5, 4, 2, 2, 2, 2, 0, 0, 1, 0), # 43
(7, 4, 5, 12, 1, 3, 2, 3, 3, 1, 2, 0, 0, 6, 5, 3, 2, 3, 2, 2, 1, 5, 3, 3, 1, 0), # 44
(4, 8, 6, 5, 2, 1, 2, 2, 2, 1, 1, 0, 0, 3, 7, 3, 5, 2, 6, 1, 1, 3, 1, 0, 0, 0), # 45
(5, 5, 2, 2, 2, 3, 4, 2, 3, 0, 0, 0, 0, 4, 2, 3, 1, 6, 3, 5, 1, 0, 2, 1, 1, 0), # 46
(6, 8, 5, 5, 3, 3, 1, 2, 3, 4, 1, 0, 0, 7, 5, 7, 2, 3, 1, 3, 0, 5, 1, 2, 0, 0), # 47
(8, 7, 6, 9, 11, 1, 0, 4, 2, 1, 1, 0, 0, 3, 6, 3, 2, 4, 3, 2, 3, 4, 2, 1, 0, 0), # 48
(6, 10, 1, 7, 2, 2, 2, 0, 2, 0, 3, 0, 0, 6, 6, 6, 7, 4, 2, 2, 1, 4, 1, 0, 0, 0), # 49
(5, 3, 5, 9, 6, 1, 0, 1, 1, 1, 0, 0, 0, 4, 5, 1, 4, 5, 2, 1, 1, 1, 3, 0, 1, 0), # 50
(5, 4, 4, 5, 2, 4, 4, 3, 4, 1, 1, 2, 0, 7, 0, 7, 3, 6, 2, 1, 1, 1, 2, 0, 0, 0), # 51
(4, 3, 3, 7, 3, 3, 0, 3, 4, 2, 0, 0, 0, 4, 8, 3, 0, 5, 0, 4, 2, 1, 3, 3, 0, 0), # 52
(5, 3, 6, 4, 4, 4, 2, 4, 0, 1, 1, 0, 0, 3, 5, 4, 4, 6, 4, 3, 4, 4, 4, 0, 1, 0), # 53
(7, 5, 7, 6, 7, 1, 0, 1, 1, 0, 1, 1, 0, 5, 5, 3, 7, 5, 1, 3, 1, 3, 1, 0, 1, 0), # 54
(9, 7, 6, 7, 1, 3, 2, 3, 4, 2, 1, 0, 0, 3, 3, 2, 4, 5, 0, 4, 2, 4, 2, 1, 2, 0), # 55
(5, 10, 5, 12, 0, 2, 0, 0, 0, 3, 0, 0, 0, 5, 5, 4, 9, 4, 4, 4, 4, 1, 0, 0, 0, 0), # 56
(3, 3, 5, 7, 8, 3, 2, 1, 1, 1, 3, 0, 0, 10, 4, 3, 5, 9, 4, 1, 2, 5, 2, 1, 1, 0), # 57
(7, 7, 6, 3, 7, 2, 2, 4, 5, 2, 1, 0, 0, 7, 4, 5, 5, 5, 1, 2, 1, 2, 3, 1, 0, 0), # 58
(5, 7, 3, 8, 5, 0, 4, 3, 1, 1, 0, 0, 0, 6, 4, 6, 7, 5, 2, 2, 0, 3, 2, 0, 0, 0), # 59
(6, 5, 10, 4, 3, 1, 4, 1, 4, 0, 1, 0, 0, 4, 7, 5, 5, 3, 1, 2, 1, 2, 2, 4, 0, 0), # 60
(6, 8, 5, 5, 2, 2, 1, 0, 2, 1, 0, 3, 0, 7, 3, 3, 1, 5, 6, 1, 2, 4, 2, 5, 0, 0), # 61
(8, 5, 3, 4, 7, 0, 3, 3, 0, 0, 1, 0, 0, 8, 9, 2, 3, 7, 3, 1, 1, 1, 2, 1, 0, 0), # 62
(7, 5, 4, 8, 3, 1, 3, 2, 6, 1, 1, 0, 0, 6, 5, 3, 6, 6, 3, 3, 3, 1, 0, 1, 1, 0), # 63
(7, 4, 3, 10, 5, 2, 2, 2, 5, 1, 3, 0, 0, 10, 4, 5, 2, 3, 3, 1, 2, 3, 4, 2, 1, 0), # 64
(6, 7, 8, 3, 1, 1, 5, 3, 4, 1, 1, 2, 0, 9, 4, 6, 3, 3, 0, 1, 1, 2, 5, 0, 0, 0), # 65
(3, 3, 9, 11, 1, 3, 0, 0, 0, 2, 0, 0, 0, 7, 5, 5, 3, 6, 1, 5, 1, 3, 2, 0, 0, 0), # 66
(5, 5, 4, 7, 3, 2, 2, 1, 5, 1, 1, 1, 0, 8, 3, 7, 3, 5, 2, 3, 4, 0, 2, 0, 1, 0), # 67
(6, 4, 7, 8, 3, 2, 3, 0, 2, 2, 3, 1, 0, 7, 8, 1, 2, 4, 1, 1, 0, 0, 2, 0, 0, 0), # 68
(7, 5, 5, 7, 6, 1, 2, 4, 2, 2, 1, 0, 0, 7, 5, 3, 2, 6, 4, 3, 1, 2, 1, 1, 0, 0), # 69
(8, 8, 2, 1, 7, 3, 3, 1, 5, 0, 2, 0, 0, 6, 4, 5, 1, 2, 2, 0, 1, 3, 3, 0, 0, 0), # 70
(3, 5, 3, 10, 6, 3, 2, 0, 3, 0, 0, 1, 0, 11, 5, 6, 3, 5, 1, 2, 3, 3, 1, 0, 0, 0), # 71
(4, 9, 2, 3, 6, 3, 0, 5, 1, 0, 0, 0, 0, 9, 1, 4, 6, 4, 2, 1, 0, 1, 0, 1, 0, 0), # 72
(4, 7, 2, 5, 3, 6, 1, 1, 1, 3, 2, 0, 0, 5, 5, 3, 3, 7, 4, 2, 0, 1, 0, 0, 0, 0), # 73
(7, 1, 6, 2, 6, 1, 1, 2, 4, 1, 0, 0, 0, 3, 3, 2, 4, 4, 4, 4, 0, 3, 1, 1, 0, 0), # 74
(7, 6, 7, 10, 3, 1, 1, 2, 2, 1, 0, 1, 0, 5, 8, 4, 2, 3, 1, 1, 0, 4, 0, 2, 1, 0), # 75
(9, 12, 4, 2, 3, 0, 2, 2, 4, 2, 0, 0, 0, 9, 0, 5, 2, 5, 0, 3, 1, 2, 3, 1, 2, 0), # 76
(9, 7, 8, 6, 9, 1, 2, 4, 0, 0, 1, 0, 0, 8, 3, 2, 5, 3, 1, 1, 3, 3, 1, 0, 0, 0), # 77
(2, 9, 6, 3, 4, 1, 2, 3, 3, 2, 0, 0, 0, 7, 6, 3, 2, 4, 2, 1, 0, 3, 3, 1, 0, 0), # 78
(7, 3, 3, 5, 4, 2, 1, 1, 3, 2, 1, 0, 0, 2, 6, 3, 2, 3, 2, 5, 2, 0, 2, 1, 2, 0), # 79
(5, 3, 5, 3, 1, 3, 2, 3, 2, 1, 1, 0, 0, 6, 5, 3, 1, 6, 4, 3, 2, 0, 1, 3, 0, 0), # 80
(11, 4, 3, 3, 2, 2, 0, 0, 0, 0, 1, 1, 0, 5, 5, 3, 5, 6, 4, 0, 0, 1, 0, 0, 0, 0), # 81
(4, 8, 3, 7, 4, 2, 2, 4, 6, 1, 2, 0, 0, 3, 4, 10, 3, 5, 1, 2, 3, 1, 0, 0, 1, 0), # 82
(5, 5, 5, 4, 5, 2, 0, 1, 2, 0, 2, 0, 0, 3, 6, 4, 7, 1, 1, 2, 3, 1, 0, 1, 1, 0), # 83
(5, 5, 4, 9, 3, 1, 1, 3, 5, 3, 3, 1, 0, 3, 6, 5, 2, 3, 1, 1, 1, 3, 1, 1, 1, 0), # 84
(5, 5, 6, 2, 1, 0, 1, 1, 2, 1, 0, 0, 0, 6, 8, 2, 2, 4, 1, 0, 2, 3, 1, 1, 1, 0), # 85
(6, 1, 4, 8, 1, 0, 1, 1, 0, 2, 0, 1, 0, 5, 5, 2, 4, 5, 3, 6, 2, 2, 1, 1, 1, 0), # 86
(6, 3, 5, 6, 2, 1, 3, 3, 2, 1, 1, 1, 0, 3, 3, 4, 2, 5, 0, 1, 2, 1, 1, 1, 0, 0), # 87
(7, 7, 9, 10, 3, 4, 4, 1, 10, 1, 0, 1, 0, 8, 11, 4, 4, 3, 4, 3, 1, 2, 1, 0, 0, 0), # 88
(5, 3, 3, 9, 4, 1, 2, 2, 2, 2, 1, 0, 0, 10, 3, 5, 2, 6, 6, 3, 1, 2, 2, 2, 1, 0), # 89
(9, 5, 6, 4, 2, 2, 0, 2, 3, 1, 1, 1, 0, 5, 6, 2, 2, 5, 0, 0, 1, 2, 3, 2, 0, 0), # 90
(6, 2, 8, 4, 2, 3, 4, 0, 1, 0, 0, 1, 0, 7, 5, 3, 2, 3, 4, 4, 3, 5, 0, 2, 1, 0), # 91
(11, 4, 5, 5, 6, 1, 3, 5, 3, 0, 1, 0, 0, 6, 6, 5, 3, 5, 3, 4, 1, 0, 2, 2, 0, 0), # 92
(4, 10, 2, 4, 4, 2, 2, 1, 4, 2, 1, 0, 0, 7, 4, 1, 0, 1, 0, 0, 0, 4, 1, 0, 0, 0), # 93
(8, 3, 6, 4, 1, 1, 5, 5, 0, 0, 0, 0, 0, 9, 4, 7, 5, 5, 2, 0, 3, 3, 3, 2, 1, 0), # 94
(7, 7, 8, 5, 5, 1, 1, 0, 3, 0, 1, 0, 0, 6, 3, 1, 3, 2, 4, 1, 1, 3, 1, 0, 0, 0), # 95
(10, 2, 6, 6, 6, 3, 4, 1, 1, 1, 0, 2, 0, 5, 6, 6, 1, 5, 0, 3, 1, 2, 3, 0, 0, 0), # 96
(8, 5, 5, 6, 7, 4, 3, 3, 4, 2, 2, 0, 0, 7, 2, 7, 0, 10, 2, 3, 2, 2, 4, 2, 0, 0), # 97
(3, 3, 3, 8, 4, 3, 2, 0, 0, 0, 0, 0, 0, 4, 3, 0, 2, 1, 1, 2, 1, 4, 2, 0, 0, 0), # 98
(6, 3, 3, 3, 8, 1, 3, 3, 3, 0, 0, 1, 0, 7, 1, 1, 4, 4, 1, 2, 0, 2, 2, 0, 0, 0), # 99
(6, 3, 4, 6, 3, 3, 1, 1, 0, 1, 2, 0, 0, 5, 5, 4, 3, 3, 3, 2, 0, 2, 4, 1, 1, 0), # 100
(3, 2, 2, 9, 9, 3, 0, 1, 0, 2, 1, 0, 0, 8, 1, 4, 4, 2, 0, 4, 2, 2, 0, 0, 0, 0), # 101
(5, 2, 3, 5, 5, 5, 2, 2, 0, 2, 1, 2, 0, 6, 3, 2, 3, 6, 3, 3, 3, 3, 3, 3, 0, 0), # 102
(6, 6, 4, 3, 4, 2, 0, 2, 3, 0, 2, 0, 0, 8, 9, 1, 4, 2, 1, 6, 1, 0, 0, 1, 0, 0), # 103
(8, 5, 3, 4, 7, 3, 3, 1, 3, 1, 0, 0, 0, 7, 4, 7, 3, 5, 2, 0, 1, 4, 3, 0, 1, 0), # 104
(5, 5, 8, 2, 4, 1, 2, 2, 1, 0, 0, 0, 0, 10, 4, 2, 3, 5, 3, 0, 0, 4, 1, 0, 0, 0), # 105
(7, 6, 4, 6, 3, 4, 0, 4, 4, 0, 0, 0, 0, 6, 9, 4, 0, 3, 2, 4, 1, 0, 2, 2, 0, 0), # 106
(5, 4, 6, 9, 9, 0, 0, 3, 6, 1, 1, 1, 0, 4, 5, 3, 2, 0, 0, 3, 1, 1, 6, 1, 1, 0), # 107
(8, 3, 8, 4, 2, 1, 1, 1, 3, 1, 0, 0, 0, 6, 3, 5, 3, 9, 2, 2, 1, 1, 4, 0, 2, 0), # 108
(6, 1, 6, 7, 7, 5, 2, 0, 2, 1, 1, 1, 0, 5, 7, 3, 0, 2, 3, 2, 1, 2, 1, 1, 0, 0), # 109
(4, 7, 6, 2, 4, 0, 3, 1, 5, 0, 1, 0, 0, 7, 5, 2, 0, 5, 0, 5, 0, 2, 3, 0, 0, 0), # 110
(9, 7, 3, 5, 9, 5, 2, 4, 3, 1, 0, 1, 0, 4, 2, 6, 4, 7, 4, 0, 4, 4, 3, 0, 0, 0), # 111
(5, 6, 7, 4, 2, 2, 2, 2, 2, 0, 0, 0, 0, 8, 6, 6, 4, 1, 1, 2, 2, 3, 4, 2, 1, 0), # 112
(7, 5, 1, 5, 6, 2, 2, 4, 3, 2, 1, 0, 0, 7, 4, 7, 3, 3, 1, 4, 0, 1, 0, 0, 0, 0), # 113
(7, 5, 4, 5, 6, 2, 5, 1, 5, 0, 0, 2, 0, 3, 4, 3, 1, 5, 0, 2, 3, 3, 1, 0, 0, 0), # 114
(5, 2, 3, 5, 5, 3, 2, 2, 1, 1, 0, 0, 0, 7, 2, 4, 3, 3, 2, 4, 6, 1, 4, 0, 0, 0), # 115
(12, 7, 5, 4, 3, 0, 3, 0, 0, 1, 0, 0, 0, 4, 0, 2, 5, 1, 2, 3, 1, 2, 1, 1, 0, 0), # 116
(3, 5, 5, 6, 2, 4, 3, 2, 2, 0, 0, 1, 0, 3, 10, 2, 2, 2, 5, 2, 5, 4, 1, 2, 0, 0), # 117
(2, 0, 6, 2, 6, 2, 3, 2, 5, 0, 0, 1, 0, 2, 5, 6, 2, 2, 2, 0, 1, 1, 1, 2, 1, 0), # 118
(8, 4, 2, 7, 6, 0, 2, 1, 2, 0, 1, 1, 0, 8, 2, 5, 2, 4, 6, 3, 2, 3, 2, 1, 0, 0), # 119
(5, 3, 6, 5, 1, 2, 1, 1, 0, 0, 1, 1, 0, 3, 6, 3, 2, 7, 2, 1, 2, 0, 6, 0, 0, 0), # 120
(2, 3, 8, 5, 6, 0, 1, 1, 0, 3, 1, 0, 0, 6, 5, 1, 1, 4, 4, 3, 0, 2, 2, 0, 0, 0), # 121
(5, 4, 4, 6, 3, 0, 0, 5, 3, 1, 0, 0, 0, 6, 1, 4, 2, 1, 3, 1, 0, 0, 1, 0, 0, 0), # 122
(4, 6, 4, 12, 4, 1, 1, 2, 1, 0, 1, 1, 0, 9, 6, 2, 1, 4, 0, 1, 0, 4, 4, 1, 0, 0), # 123
(3, 3, 7, 3, 3, 1, 3, 1, 1, 1, 2, 0, 0, 2, 4, 1, 3, 3, 0, 1, 0, 4, 2, 2, 2, 0), # 124
(9, 3, 5, 3, 5, 1, 2, 1, 4, 2, 0, 0, 0, 6, 4, 0, 3, 1, 3, 1, 4, 4, 2, 1, 1, 0), # 125
(3, 4, 2, 8, 9, 0, 2, 1, 4, 0, 0, 0, 0, 3, 6, 3, 1, 6, 2, 3, 1, 3, 2, 1, 0, 0), # 126
(9, 4, 7, 3, 3, 3, 1, 1, 2, 0, 0, 0, 0, 3, 8, 3, 1, 6, 5, 1, 1, 1, 3, 2, 2, 0), # 127
(7, 5, 5, 10, 4, 3, 3, 0, 1, 2, 2, 1, 0, 4, 4, 0, 4, 2, 7, 0, 0, 2, 2, 0, 0, 0), # 128
(5, 7, 6, 7, 4, 2, 2, 3, 2, 0, 1, 1, 0, 11, 3, 3, 2, 1, 0, 0, 0, 1, 1, 1, 0, 0), # 129
(6, 3, 5, 6, 2, 2, 1, 3, 0, 1, 0, 0, 0, 4, 2, 3, 2, 3, 2, 2, 4, 1, 2, 0, 0, 0), # 130
(5, 3, 6, 5, 3, 2, 1, 1, 1, 1, 1, 0, 0, 8, 3, 9, 3, 5, 3, 1, 2, 1, 4, 1, 0, 0), # 131
(5, 2, 3, 6, 3, 1, 0, 5, 5, 0, 1, 0, 0, 4, 9, 4, 2, 1, 3, 3, 0, 4, 1, 0, 0, 0), # 132
(3, 6, 2, 9, 6, 1, 1, 0, 3, 0, 0, 1, 0, 6, 2, 2, 2, 5, 3, 0, 1, 2, 1, 1, 1, 0), # 133
(8, 3, 0, 2, 3, 1, 2, 2, 2, 1, 2, 0, 0, 5, 4, 1, 4, 3, 0, 2, 3, 4, 4, 0, 0, 0), # 134
(4, 2, 5, 3, 4, 2, 1, 3, 3, 0, 0, 1, 0, 5, 5, 3, 1, 9, 1, 0, 1, 1, 0, 0, 1, 0), # 135
(5, 4, 5, 2, 5, 1, 1, 1, 3, 2, 0, 1, 0, 8, 4, 5, 4, 4, 1, 1, 3, 4, 2, 3, 0, 0), # 136
(5, 4, 5, 6, 3, 2, 1, 3, 2, 1, 0, 0, 0, 6, 2, 1, 1, 2, 2, 3, 0, 3, 1, 1, 0, 0), # 137
(5, 2, 3, 2, 3, 3, 1, 0, 2, 0, 0, 0, 0, 8, 6, 4, 0, 7, 0, 2, 3, 1, 1, 0, 0, 0), # 138
(7, 2, 7, 5, 8, 1, 3, 0, 1, 0, 1, 0, 0, 6, 2, 3, 1, 2, 0, 0, 1, 3, 0, 0, 1, 0), # 139
(6, 8, 2, 6, 6, 2, 0, 2, 3, 1, 1, 0, 0, 4, 5, 6, 1, 7, 1, 2, 2, 6, 2, 0, 0, 0), # 140
(9, 2, 2, 10, 6, 3, 5, 1, 1, 0, 0, 0, 0, 7, 3, 5, 4, 6, 0, 2, 3, 1, 2, 1, 0, 0), # 141
(4, 4, 2, 3, 4, 3, 1, 1, 1, 0, 0, 0, 0, 4, 4, 3, 0, 6, 2, 2, 0, 2, 1, 2, 0, 0), # 142
(10, 3, 7, 7, 4, 1, 1, 4, 5, 0, 2, 0, 0, 2, 4, 0, 3, 4, 3, 2, 1, 3, 2, 2, 1, 0), # 143
(6, 2, 3, 1, 3, 2, 1, 2, 1, 1, 1, 2, 0, 6, 6, 1, 1, 4, 4, 1, 0, 4, 1, 2, 1, 0), # 144
(5, 7, 3, 3, 3, 3, 4, 1, 4, 0, 0, 0, 0, 8, 6, 2, 2, 3, 2, 0, 1, 2, 3, 0, 0, 0), # 145
(5, 2, 6, 5, 0, 1, 5, 2, 5, 0, 1, 0, 0, 6, 5, 1, 1, 3, 2, 0, 0, 2, 3, 0, 0, 0), # 146
(2, 4, 3, 5, 4, 1, 4, 0, 2, 0, 0, 0, 0, 8, 2, 1, 4, 4, 3, 3, 3, 0, 2, 2, 0, 0), # 147
(8, 1, 4, 1, 1, 0, 1, 1, 2, 0, 3, 0, 0, 6, 6, 4, 2, 5, 1, 2, 2, 4, 1, 0, 0, 0), # 148
(2, 5, 5, 6, 3, 1, 1, 1, 4, 1, 0, 0, 0, 3, 4, 3, 2, 4, 0, 1, 1, 2, 1, 0, 0, 0), # 149
(5, 2, 2, 4, 6, 5, 2, 1, 1, 1, 2, 1, 0, 1, 2, 1, 2, 9, 0, 2, 1, 3, 2, 1, 0, 0), # 150
(4, 3, 3, 8, 5, 0, 2, 0, 4, 1, 1, 0, 0, 4, 2, 5, 3, 5, 2, 4, 2, 2, 2, 0, 0, 0), # 151
(4, 0, 6, 4, 5, 3, 0, 1, 2, 1, 0, 0, 0, 6, 5, 4, 2, 5, 2, 1, 0, 2, 0, 2, 0, 0), # 152
(4, 3, 5, 2, 1, 1, 2, 1, 0, 0, 0, 0, 0, 5, 1, 1, 4, 2, 4, 0, 2, 4, 1, 0, 0, 0), # 153
(3, 0, 6, 5, 4, 2, 2, 1, 1, 0, 3, 0, 0, 5, 3, 1, 1, 1, 0, 1, 3, 3, 0, 0, 0, 0), # 154
(3, 6, 1, 2, 4, 1, 2, 1, 8, 1, 0, 0, 0, 8, 6, 6, 1, 3, 0, 0, 1, 1, 4, 2, 0, 0), # 155
(11, 3, 5, 9, 7, 1, 2, 2, 0, 0, 0, 1, 0, 4, 4, 1, 2, 7, 2, 1, 0, 0, 4, 1, 0, 0), # 156
(4, 2, 6, 4, 3, 0, 0, 0, 1, 0, 0, 0, 0, 6, 2, 2, 5, 4, 2, 2, 2, 0, 0, 3, 1, 0), # 157
(2, 3, 3, 3, 1, 4, 1, 0, 2, 0, 0, 2, 0, 5, 4, 3, 1, 5, 3, 2, 1, 2, 3, 0, 1, 0), # 158
(2, 2, 7, 3, 1, 3, 2, 2, 0, 1, 1, 0, 0, 4, 1, 4, 0, 2, 1, 3, 3, 2, 3, 0, 0, 0), # 159
(4, 2, 7, 5, 8, 2, 3, 1, 3, 0, 0, 0, 0, 7, 4, 5, 2, 3, 3, 1, 0, 2, 1, 1, 0, 0), # 160
(5, 3, 2, 3, 1, 0, 0, 2, 2, 1, 1, 0, 0, 2, 5, 1, 1, 6, 2, 1, 1, 1, 1, 0, 1, 0), # 161
(1, 2, 4, 3, 7, 1, 1, 4, 2, 2, 0, 2, 0, 5, 5, 2, 2, 4, 3, 2, 2, 0, 1, 0, 0, 0), # 162
(4, 2, 5, 1, 4, 3, 4, 1, 2, 0, 0, 0, 0, 3, 0, 7, 4, 6, 1, 1, 1, 1, 1, 0, 0, 0), # 163
(2, 4, 5, 4, 3, 3, 5, 1, 2, 0, 0, 0, 0, 2, 3, 1, 3, 3, 2, 0, 0, 0, 1, 0, 0, 0), # 164
(2, 1, 3, 2, 4, 2, 1, 3, 3, 0, 0, 1, 0, 6, 7, 6, 3, 1, 3, 0, 1, 0, 2, 0, 0, 0), # 165
(3, 5, 2, 6, 2, 4, 0, 3, 3, 0, 1, 0, 0, 3, 5, 3, 2, 2, 1, 0, 1, 1, 1, 2, 0, 0), # 166
(3, 4, 6, 5, 3, 3, 1, 1, 3, 2, 0, 0, 0, 3, 2, 0, 3, 7, 1, 0, 2, 0, 2, 1, 0, 0), # 167
(5, 1, 2, 3, 3, 1, 0, 4, 1, 2, 0, 0, 0, 3, 4, 3, 2, 2, 2, 2, 2, 5, 0, 0, 0, 0), # 168
(5, 1, 5, 5, 4, 2, 0, 0, 4, 1, 1, 0, 0, 3, 2, 3, 1, 5, 3, 1, 1, 0, 1, 0, 0, 0), # 169
(2, 1, 2, 3, 4, 1, 0, 4, 0, 2, 0, 2, 0, 4, 4, 2, 1, 4, 6, 2, 0, 0, 2, 1, 0, 0), # 170
(3, 2, 1, 1, 0, 3, 2, 2, 1, 0, 1, 0, 0, 4, 2, 5, 1, 5, 1, 1, 4, 1, 0, 0, 0, 0), # 171
(3, 3, 5, 3, 5, 1, 1, 3, 1, 0, 0, 1, 0, 3, 1, 5, 1, 3, 0, 0, 2, 1, 0, 0, 0, 0), # 172
(3, 2, 5, 3, 2, 1, 0, 0, 2, 0, 0, 0, 0, 4, 7, 5, 3, 3, 3, 1, 0, 2, 2, 1, 0, 0), # 173
(1, 3, 5, 3, 2, 0, 1, 0, 1, 2, 0, 0, 0, 5, 2, 5, 3, 5, 1, 1, 1, 2, 2, 0, 1, 0), # 174
(5, 2, 0, 1, 4, 3, 0, 0, 0, 0, 0, 0, 0, 1, 3, 0, 2, 2, 1, 1, 2, 0, 1, 1, 1, 0), # 175
(8, 0, 3, 1, 1, 0, 0, 0, 0, 0, 2, 0, 0, 4, 1, 5, 0, 2, 0, 1, 1, 1, 2, 0, 0, 0), # 176
(0, 5, 2, 5, 3, 0, 0, 0, 1, 0, 1, 0, 0, 5, 1, 2, 3, 1, 1, 0, 0, 2, 0, 0, 0, 0), # 177
(2, 1, 3, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 1, 1, 3, 1, 0, 0, 0, 0, 1, 2, 0), # 178
(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179
)
station_arriving_intensity = (
(3.012519347023061, 3.3151731358159005, 3.1267699377675044, 3.72880066431806, 3.3328113645657673, 1.8831929592224035, 2.487621369224349, 2.7919057037876542, 3.6540594373008046, 2.374809009313422, 2.523159098331362, 2.9387490469837045, 3.050328127547018), # 0
(3.2125962912119848, 3.5340364164868556, 3.333207954798092, 3.9750865519659704, 3.5534942024845426, 2.007590150425534, 2.6516813647582165, 2.975708233743425, 3.895347195799746, 2.53138841536629, 2.689857681573679, 3.1327299964886133, 3.2518749884639133), # 1
(3.412033805387839, 3.752031102534588, 3.5388253713284485, 4.220392622798877, 3.773377784249847, 2.1314910687074673, 2.815091104776423, 3.158775148742652, 4.13567208412653, 2.6873482650123277, 2.855893889265788, 3.3259395912318332, 3.4526188969258147), # 2
(3.6100546758879375, 3.9682923011618687, 3.742806521591913, 4.463745844519245, 3.991597005601142, 2.254404373551068, 2.9772021849887738, 3.3403806944967047, 4.374081096552656, 2.842069619055709, 3.0206090470964297, 3.517611410958277, 3.651763683752536), # 3
(3.8058816890495892, 4.181955119571465, 3.9443357398218226, 4.704173184829543, 4.207286762277896, 2.375838724439201, 3.1373662011050754, 3.51979911671695, 4.609621227349625, 2.9949335383006077, 3.1833444807543456, 3.706979035412859, 3.848513179763891), # 4
(3.9987376312101066, 4.392154664966154, 4.142597360251511, 4.940701611432237, 4.419581950019569, 2.495302780854729, 3.294934748835135, 3.696304661114756, 4.841339470788936, 3.1453210835511984, 3.34344151592828, 3.8932760443404892, 4.042071215779696), # 5
(4.1878452887068, 4.598026044548702, 4.33677571711432, 5.172358092029792, 4.627617464565627, 2.6123052022805187, 3.449259423888758, 3.8691715734014935, 5.068282821142089, 3.2926133156116553, 3.50024147830697, 4.0757360174860855, 4.231641622619764), # 6
(4.372427447876982, 4.798704365521879, 4.526055144643582, 5.398169594324678, 4.830528201655533, 2.726354648199433, 3.5996918219757514, 4.037674099288531, 5.2894982726805875, 3.4361912952861524, 3.6530856935791616, 4.253592534594558, 4.416428231103912), # 7
(4.551706895057961, 4.99332473508846, 4.709619977072638, 5.6171630860193575, 5.027449057028752, 2.836959778094334, 3.745583538805919, 4.201086484487235, 5.504032819675924, 3.575436083378865, 3.801315487433593, 4.426079175410822, 4.595634872051951), # 8
(4.724906416587052, 5.181022260451214, 4.886654548634823, 5.828365534816302, 5.217514926424746, 2.943629251448091, 3.8862861700890723, 4.358682974708978, 5.710933456399605, 3.7097287406939654, 3.9442721855590075, 4.592429519679789, 4.768465376283698), # 9
(4.89124879880156, 5.36093204881291, 5.0563431935634755, 6.030803908417973, 5.399860705582981, 3.045871727743565, 4.0211513115350135, 4.509737815665127, 5.909247177123129, 3.838450328035629, 4.081297113644145, 4.751877147146372, 4.934123574618967), # 10
(5.049956828038804, 5.532189207376325, 5.2178702460919295, 6.2235051745268395, 5.573621290242921, 3.1431958664636213, 4.1495305588535505, 4.653525253067049, 6.098020976117997, 3.960981906208032, 4.21173159737775, 4.903655637555487, 5.091813297877567), # 11
(5.200253290636088, 5.69392884334422, 5.370420040453524, 6.4054963008453685, 5.737931576144027, 3.235110327091122, 4.270775507754488, 4.789319532626113, 6.276301847655708, 4.0767045360153435, 4.3349169624485615, 5.0469985706520415, 5.240738376879321), # 12
(5.341360972930726, 5.845286063919373, 5.513176910881598, 6.575804255076027, 5.891926459025762, 3.321123769108935, 4.384237753947634, 4.91639490005369, 6.44313678600776, 4.184999278261743, 4.4501945345453215, 5.181139526180953, 5.380102642444042), # 13
(5.47250266126003, 5.985395976304554, 5.645325191609489, 6.733456004921276, 6.034740834627595, 3.400744851999921, 4.489268893142797, 5.034025601061148, 6.597572785445654, 4.285247193751401, 4.5569056393567715, 5.305312083887137, 5.509109925391539), # 14
(5.592901141961314, 6.113393687702531, 5.766049216870527, 6.877478518083592, 6.165509598688986, 3.473482235246948, 4.585220521049776, 5.141485881359854, 6.738656840240893, 4.376829343288495, 4.6543916025716525, 5.418749823515504, 5.626964056541629), # 15
(5.701779201371881, 6.22841430531608, 5.874533320898055, 7.006898762265431, 6.283367646949401, 3.538844578332876, 4.671444233378386, 5.238049986661177, 6.865435944664973, 4.4591267876771985, 4.741993749878708, 5.520686324810964, 5.732868866714128), # 16
(5.798359625829046, 6.329592936347969, 5.969961837925412, 7.120743705169268, 6.387449875148303, 3.596340540740572, 4.747291625838427, 5.322992162676491, 6.976957092989391, 4.531520587721681, 4.81905340696668, 5.610355167518434, 5.82602818672885), # 17
(5.881865201670123, 6.416064688000965, 6.051519102185929, 7.218040314497568, 6.476891179025154, 3.645478781952902, 4.812114294139711, 5.395586655117157, 7.072267279485659, 4.593391804226123, 4.8849118995243055, 5.68698993138283, 5.905645847405608), # 18
(5.95151871523242, 6.486964667477848, 6.118389447912948, 7.29781555795279, 6.55082645431942, 3.6857679614527257, 4.865263833992037, 5.4551077096945475, 7.1504134984252685, 4.644121497994697, 4.938910553240327, 5.749824196149059, 5.9709256795642185), # 19
(6.00654295285325, 6.541427981981378, 6.169757209339802, 7.359096403237413, 6.608390596770567, 3.7167167387229116, 4.906091841105218, 5.500829572120031, 7.21044274407972, 4.683090729831576, 4.980390693803491, 5.7980915415620355, 6.021071514024495), # 20
(6.046160700869921, 6.578589738714336, 6.204806720699832, 7.400909818053893, 6.648718502118054, 3.737833773246322, 4.933949911189056, 5.532026488104974, 7.251402010720514, 4.709680560540933, 5.008693646902536, 5.831025547366677, 6.055287181606248), # 21
(6.0695947456197485, 6.597585044879487, 6.222722316226372, 7.422282770104703, 6.670945066101346, 3.7486277245058206, 4.948189639953361, 5.54797270336075, 7.27233829261915, 4.723272050926946, 5.0231607382262045, 5.847859793307895, 6.0727765131292974), # 22
(6.078236018005584, 6.599834156378602, 6.224953909465022, 7.424958487654322, 6.676639233619559, 3.7500000000000004, 4.9498824013556035, 5.549696296296298, 7.274955740740742, 4.724875363511661, 5.024974822297045, 5.8499385459533615, 6.075000000000001), # 23
(6.084607447820493, 6.598522222222224, 6.224588888888889, 7.424629166666668, 6.679864568168912, 3.7500000000000004, 4.948952287581701, 5.547300000000001, 7.274605000000001, 4.723890370370371, 5.024774747474749, 5.849451851851852, 6.075000000000001), # 24
(6.090844338126949, 6.59593621399177, 6.223868312757203, 7.423977623456792, 6.683018967356703, 3.7500000000000004, 4.947119341563787, 5.542592592592594, 7.2739120370370385, 4.7219513031550076, 5.024378039655818, 5.84849108367627, 6.075000000000001), # 25
(6.096946211428821, 6.592115637860084, 6.22280205761317, 7.423011265432099, 6.6861023210526636, 3.7500000000000004, 4.944412030985234, 5.535662962962964, 7.272885740740741, 4.719090425240055, 5.023788290310513, 5.847069410150893, 6.075000000000001), # 26
(6.102912590229983, 6.5871, 6.221400000000001, 7.421737500000001, 6.689114519126529, 3.7500000000000004, 4.940858823529413, 5.526600000000001, 7.271535000000001, 4.71534, 5.023009090909092, 5.845200000000001, 6.075000000000001), # 27
(6.108742997034302, 6.580928806584363, 6.2196720164609065, 7.420163734567902, 6.6920554514480415, 3.7500000000000004, 4.936488186879691, 5.515492592592594, 7.269868703703704, 4.710732290809329, 5.022044032921811, 5.842896021947875, 6.075000000000001), # 28
(6.114436954345651, 6.573641563786009, 6.217627983539096, 7.418297376543211, 6.694925007886933, 3.7500000000000004, 4.93132858871944, 5.5024296296296304, 7.267895740740742, 4.705299561042525, 5.02089670781893, 5.8401706447187935, 6.075000000000001), # 29
(6.119993984667899, 6.565277777777779, 6.215277777777779, 7.416145833333334, 6.697723078312943, 3.7500000000000004, 4.925408496732027, 5.4875, 7.265625000000001, 4.699074074074075, 5.019570707070708, 5.837037037037037, 6.075000000000001), # 30
(6.125413610504916, 6.555876954732512, 6.212631275720166, 7.41371651234568, 6.700449552595806, 3.7500000000000004, 4.918756378600825, 5.470792592592594, 7.263065370370372, 4.692088093278464, 5.018069622147401, 5.833508367626888, 6.075000000000001), # 31
(6.130695354360573, 6.5454786008230466, 6.209698353909465, 7.411016820987656, 6.7031043206052585, 3.7500000000000004, 4.9114007020092, 5.452396296296298, 7.260225740740742, 4.6843738820301795, 5.016397044519267, 5.829597805212622, 6.075000000000001), # 32
(6.135838738738739, 6.534122222222223, 6.20648888888889, 7.408054166666667, 6.705687272211039, 3.7500000000000004, 4.903369934640524, 5.432400000000001, 7.257115000000001, 4.6759637037037045, 5.014556565656566, 5.825318518518519, 6.075000000000001), # 33
(6.140843286143286, 6.521847325102881, 6.2030127572016465, 7.404835956790125, 6.70819829728288, 3.7500000000000004, 4.894692544178167, 5.410892592592593, 7.253742037037039, 4.666889821673526, 5.012551777029555, 5.820683676268862, 6.075000000000001), # 34
(6.145708519078085, 6.508693415637861, 6.199279835390948, 7.401369598765433, 6.710637285690523, 3.7500000000000004, 4.885396998305496, 5.3879629629629635, 7.250115740740743, 4.65718449931413, 5.0103862701084925, 5.81570644718793, 6.075000000000001), # 35
(6.150433960047004, 6.4947, 6.1953000000000005, 7.397662500000001, 6.713004127303702, 3.7500000000000004, 4.875511764705883, 5.3637000000000015, 7.246245, 4.64688, 5.008063636363637, 5.810400000000001, 6.075000000000001), # 36
(6.155019131553915, 6.479906584362141, 6.191083127572017, 7.393722067901235, 6.715298711992154, 3.7500000000000004, 4.865065311062697, 5.338192592592593, 7.242138703703705, 4.636008587105625, 5.005587467265246, 5.8047775034293565, 6.075000000000001), # 37
(6.159463556102686, 6.46435267489712, 6.186639094650206, 7.389555709876545, 6.717520929625615, 3.7500000000000004, 4.8540861050593085, 5.311529629629631, 7.2378057407407415, 4.624602524005488, 5.002961354283578, 5.798852126200276, 6.075000000000001), # 38
(6.163766756197193, 6.448077777777779, 6.181977777777779, 7.385170833333334, 6.719670670073823, 3.7500000000000004, 4.842602614379086, 5.2838, 7.2332550000000015, 4.612694074074075, 5.000188888888889, 5.7926370370370375, 6.075000000000001), # 39
(6.167928254341299, 6.431121399176956, 6.177109053497943, 7.380574845679013, 6.721747823206512, 3.7500000000000004, 4.830643306705399, 5.255092592592594, 7.228495370370371, 4.6003155006858725, 4.997273662551441, 5.786145404663925, 6.075000000000001), # 40
(6.171947573038878, 6.413523045267491, 6.17204279835391, 7.375775154320989, 6.723752278893422, 3.7500000000000004, 4.818236649721618, 5.225496296296297, 7.223535740740742, 4.587499067215364, 4.99421926674149, 5.779390397805213, 6.075000000000001), # 41
(6.175824234793801, 6.395322222222224, 6.166788888888891, 7.370779166666669, 6.725683927004286, 3.7500000000000004, 4.805411111111112, 5.195100000000001, 7.218385000000001, 4.574277037037038, 4.991029292929293, 5.772385185185186, 6.075000000000001), # 42
(6.179557762109936, 6.376558436213993, 6.161357201646092, 7.365594290123458, 6.727542657408843, 3.7500000000000004, 4.79219515855725, 5.163992592592594, 7.213052037037038, 4.560681673525378, 4.987707332585111, 5.7651429355281225, 6.075000000000001), # 43
(6.183147677491157, 6.357271193415639, 6.155757613168726, 7.360227932098767, 6.729328359976828, 3.7500000000000004, 4.778617259743404, 5.132262962962964, 7.207545740740741, 4.546745240054871, 4.9842569771792, 5.7576768175583, 6.075000000000001), # 44
(6.186593503441331, 6.337500000000001, 6.150000000000001, 7.354687500000001, 6.731040924577979, 3.7500000000000004, 4.764705882352942, 5.1000000000000005, 7.201875, 4.532500000000001, 4.980681818181819, 5.75, 6.075000000000001), # 45
(6.18989476246433, 6.317284362139919, 6.144094238683128, 7.348980401234569, 6.732680241082031, 3.7500000000000004, 4.7504894940692335, 5.067292592592594, 7.196048703703704, 4.517978216735254, 4.976985447063225, 5.7421256515775045, 6.075000000000001), # 46
(6.193050977064022, 6.296663786008231, 6.138050205761318, 7.343114043209877, 6.734246199358721, 3.7500000000000004, 4.735996562575648, 5.03422962962963, 7.190075740740742, 4.5032121536351175, 4.973171455293678, 5.73406694101509, 6.075000000000001), # 47
(6.196061669744278, 6.275677777777779, 6.131877777777778, 7.337095833333335, 6.735738689277787, 3.7500000000000004, 4.721255555555556, 5.0009000000000015, 7.1839650000000015, 4.488234074074074, 4.969243434343435, 5.725837037037038, 6.075000000000001), # 48
(6.198926363008972, 6.254365843621399, 6.125586831275721, 7.330933179012347, 6.737157600708965, 3.7500000000000004, 4.7062949406923265, 4.967392592592593, 7.177725370370371, 4.473076241426613, 4.965204975682754, 5.717449108367628, 6.075000000000001), # 49
(6.201644579361971, 6.232767489711936, 6.119187242798356, 7.324633487654322, 6.73850282352199, 3.7500000000000004, 4.691143185669331, 4.933796296296297, 7.171365740740741, 4.457770919067216, 4.961059670781894, 5.70891632373114, 6.075000000000001), # 50
(6.204215841307147, 6.210922222222223, 6.112688888888889, 7.318204166666668, 6.7397742475866, 3.7500000000000004, 4.675828758169935, 4.900200000000001, 7.164895000000001, 4.442350370370371, 4.956811111111112, 5.700251851851854, 6.075000000000001), # 51
(6.206639671348368, 6.188869547325105, 6.1061016460905355, 7.311652623456791, 6.74097176277253, 3.7500000000000004, 4.660380125877512, 4.866692592592592, 7.158322037037038, 4.426846858710563, 4.9524628881406665, 5.691468861454048, 6.075000000000001), # 52
(6.2089155919895065, 6.166648971193417, 6.099435390946504, 7.304986265432099, 6.742095258949519, 3.7500000000000004, 4.644825756475431, 4.833362962962964, 7.151655740740742, 4.411292647462278, 4.948018593340816, 5.682580521262003, 6.075000000000001), # 53
(6.211043125734431, 6.144300000000001, 6.0927, 7.298212500000001, 6.743144625987302, 3.7500000000000004, 4.629194117647059, 4.8003, 7.144905000000001, 4.395720000000001, 4.943481818181818, 5.6736, 6.075000000000001), # 54
(6.213021795087014, 6.121862139917696, 6.08590534979424, 7.291338734567901, 6.744119753755615, 3.7500000000000004, 4.613513677075769, 4.767592592592593, 7.138078703703704, 4.380161179698217, 4.938856154133933, 5.664540466392319, 6.075000000000001), # 55
(6.214851122551123, 6.099374897119342, 6.079061316872429, 7.28437237654321, 6.7450205321241965, 3.7500000000000004, 4.59781290244493, 4.73532962962963, 7.131185740740742, 4.364648449931414, 4.934145192667415, 5.655415089163238, 6.075000000000001), # 56
(6.21653063063063, 6.076877777777779, 6.072177777777779, 7.277320833333334, 6.745846850962781, 3.7500000000000004, 4.582120261437909, 4.703600000000002, 7.124235000000001, 4.349214074074075, 4.929352525252526, 5.646237037037038, 6.075000000000001), # 57
(6.218059841829408, 6.054410288065845, 6.065264609053499, 7.270191512345679, 6.746598600141105, 3.7500000000000004, 4.566464221738078, 4.672492592592593, 7.117235370370372, 4.333890315500687, 4.9244817433595225, 5.637019478737998, 6.075000000000001), # 58
(6.219438278651324, 6.03201193415638, 6.0583316872427995, 7.262991820987655, 6.747275669528908, 3.7500000000000004, 4.550873251028808, 4.642096296296297, 7.110195740740743, 4.318709437585735, 4.91953643845866, 5.627775582990399, 6.075000000000001), # 59
(6.220665463600247, 6.009722222222224, 6.051388888888889, 7.255729166666668, 6.747877948995923, 3.7500000000000004, 4.535375816993464, 4.612500000000001, 7.103125000000002, 4.303703703703705, 4.914520202020203, 5.61851851851852, 6.075000000000001), # 60
(6.22174091918005, 5.987580658436215, 6.044446090534981, 7.248410956790124, 6.748405328411888, 3.7500000000000004, 4.52000038731542, 4.5837925925925935, 7.0960320370370376, 4.2889053772290815, 4.909436625514404, 5.60926145404664, 6.075000000000001), # 61
(6.222664167894603, 5.965626748971194, 6.037513168724281, 7.241044598765434, 6.7488576976465415, 3.7500000000000004, 4.504775429678045, 4.556062962962963, 7.088925740740741, 4.274346721536352, 4.9042893004115236, 5.600017558299041, 6.075000000000001), # 62
(6.223434732247776, 5.9439, 6.030600000000001, 7.233637500000002, 6.749234946569615, 3.7500000000000004, 4.489729411764706, 4.529400000000001, 7.081815000000001, 4.26006, 4.899081818181819, 5.590800000000001, 6.075000000000001), # 63
(6.224052134743439, 5.922439917695474, 6.023716460905351, 7.226197067901236, 6.74953696505085, 3.7500000000000004, 4.474890801258776, 4.503892592592594, 7.074708703703704, 4.246077475994514, 4.893817770295548, 5.581621947873801, 6.075000000000001), # 64
(6.224515897885464, 5.901286008230453, 6.01687242798354, 7.218730709876544, 6.749763642959981, 3.7500000000000004, 4.460288065843622, 4.47962962962963, 7.067615740740742, 4.2324314128943765, 4.888500748222972, 5.572496570644719, 6.075000000000001), # 65
(6.224825544177719, 5.88047777777778, 6.010077777777779, 7.211245833333335, 6.749914870166744, 3.7500000000000004, 4.445949673202615, 4.456700000000001, 7.060545000000001, 4.2191540740740745, 4.883134343434344, 5.563437037037039, 6.075000000000001), # 66
(6.224980596124076, 5.860054732510289, 6.003342386831276, 7.203749845679013, 6.749990536540879, 3.7500000000000004, 4.431904091019124, 4.435192592592594, 7.053505370370371, 4.206277722908094, 4.877722147399926, 5.554456515775034, 6.075000000000001), # 67
(6.224874968688496, 5.839949183592195, 5.996643569958848, 7.196185044283416, 6.749926773178408, 3.7499304069501602, 4.418109116897789, 4.415006310013718, 7.046452709190674, 4.193772264988301, 4.872171593124226, 5.545518013139847, 6.074925090020577), # 68
(6.2238850241545896, 5.819547311827958, 5.989793055555555, 7.188170108695653, 6.749346405228758, 3.749380246913581, 4.4041609088079685, 4.39505925925926, 7.039078703703705, 4.181283834422658, 4.865917703349282, 5.536331384015596, 6.074331597222224), # 69
(6.221931472535338, 5.798755475906014, 5.982761059670782, 7.179652274557167, 6.748199588477366, 3.7482967535436673, 4.389996080736823, 4.375171467764061, 7.031341735253774, 4.168751714677641, 4.858889331915648, 5.526853656775686, 6.073159400720166), # 70
(6.219041796385758, 5.777586101154919, 5.9755500514403295, 7.17064410225443, 6.746500847252483, 3.7466974851394608, 4.375620995723393, 4.355349519890262, 7.023253326474624, 4.156176215605584, 4.851112422470318, 5.51709176232763, 6.07142393261317), # 71
(6.215243478260871, 5.756051612903226, 5.9681625, 7.161158152173914, 6.744264705882354, 3.744600000000001, 4.361042016806723, 4.3356, 7.014825000000002, 4.143557647058824, 4.842612918660288, 5.507052631578948, 6.069140625000001), # 72
(6.210564000715693, 5.734164436479491, 5.960600874485597, 7.151206984702094, 6.741505688695232, 3.7420218564243255, 4.346265507025856, 4.315929492455419, 7.00606827846365, 4.130896318889696, 4.833416764132553, 5.496743195437152, 6.066324909979425), # 73
(6.2050308463052435, 5.711936997212267, 5.952867644032922, 7.140803160225444, 6.7382383200193665, 3.7389806127114777, 4.331297829419834, 4.296344581618656, 6.996994684499315, 4.118192540950537, 4.823549902534114, 5.486170384809761, 6.062992219650208), # 74
(6.198671497584542, 5.689381720430108, 5.944965277777778, 7.129959239130436, 6.734477124183008, 3.7354938271604947, 4.3161453470277005, 4.276851851851853, 6.9876157407407415, 4.105446623093682, 4.813038277511962, 5.475341130604289, 6.059157986111113), # 75
(6.191513437108607, 5.666511031461571, 5.936896244855968, 7.118687781803544, 6.730236625514404, 3.731579058070417, 4.3008144228884975, 4.257457887517147, 6.977942969821674, 4.092658875171468, 4.801907832713096, 5.46426236372825, 6.054837641460906), # 76
(6.183584147432457, 5.643337355635206, 5.928663014403292, 7.10700134863124, 6.725531348341806, 3.727253863740284, 4.2853114200412685, 4.238169272976681, 6.967987894375859, 4.079829607036231, 4.7901845117845125, 5.452941015089165, 6.050046617798356), # 77
(6.174911111111112, 5.619873118279572, 5.920268055555556, 7.094912500000001, 6.7203758169934655, 3.722535802469136, 4.269642701525056, 4.218992592592594, 6.957762037037037, 4.066959128540305, 4.777894258373206, 5.441384015594544, 6.044800347222224), # 78
(6.165521810699589, 5.59613074472322, 5.91171383744856, 7.082433796296297, 6.714784555797629, 3.717442432556013, 4.253814630378901, 4.199934430727024, 6.947276920438958, 4.0540477495360285, 4.765063016126174, 5.429598296151903, 6.039114261831276), # 79
(6.155443728752909, 5.5721226602947045, 5.903002829218107, 7.069577797906604, 6.708772089082548, 3.7119913122999546, 4.237833569641849, 4.181001371742113, 6.936544067215364, 4.041095779875737, 4.751716728690414, 5.417590787668762, 6.033003793724281), # 80
(6.144704347826088, 5.547861290322582, 5.8941375, 7.0563570652173935, 6.702352941176471, 3.7062000000000004, 4.221705882352942, 4.1622, 6.925575, 4.028103529411766, 4.73788133971292, 5.405368421052633, 6.026484375), # 81
(6.133331150474146, 5.523359060135405, 5.885120318930043, 7.042784158615138, 6.6955416364076505, 3.7000860539551907, 4.205437931551223, 4.143536899862826, 6.914381241426613, 4.0150713079964495, 4.723582792840689, 5.392938127211033, 6.019571437757203), # 82
(6.121351619252104, 5.498628395061729, 5.8759537551440335, 7.028871638486313, 6.688352699104334, 3.693667032464564, 4.1890360802757325, 4.12501865569273, 6.902974314128945, 4.001999425482127, 4.708847031720717, 5.380306837051478, 6.0122804140946515), # 83
(6.108793236714976, 5.4736817204301085, 5.866640277777779, 7.014632065217393, 6.680800653594773, 3.686960493827161, 4.172506691565515, 4.106651851851852, 6.891365740740741, 3.988888191721134, 4.693700000000001, 5.367481481481482, 6.004626736111112), # 84
(6.095683485417786, 5.448531461569097, 5.857182355967079, 7.000077999194849, 6.672900024207215, 3.679983996342022, 4.1558561284596145, 4.088443072702333, 6.879567043895747, 3.9757379165658038, 4.678167641325537, 5.354468991408563, 5.996625835905351), # 85
(6.082049847915549, 5.423190043807249, 5.8475824588477385, 6.985222000805155, 6.664665335269911, 3.6727550983081856, 4.139090753997072, 4.0703989026063105, 6.867589746227711, 3.962548909868475, 4.662275899344321, 5.341276297740237, 5.988293145576132), # 86
(6.067919806763285, 5.397669892473119, 5.837843055555556, 6.970076630434783, 6.656111111111113, 3.6652913580246915, 4.122216931216932, 4.052525925925926, 6.855445370370372, 3.9493214814814817, 4.64605071770335, 5.327910331384016, 5.979644097222223), # 87
(6.053320844516015, 5.371983432895261, 5.827966615226338, 6.954654448470211, 6.647251876059067, 3.657610333790581, 4.105241023158235, 4.03483072702332, 6.843145438957477, 3.936055941257161, 4.62951804004962, 5.31437802324742, 5.970694122942389), # 88
(6.0382804437287545, 5.346143090402231, 5.817955606995886, 6.938968015297908, 6.638102154442025, 3.649729583904893, 4.088169392860025, 4.017319890260632, 6.8307014746227726, 3.92275259904785, 4.612703810030127, 5.300686304237962, 5.961458654835392), # 89
(6.022826086956522, 5.320161290322582, 5.807812500000001, 6.923029891304349, 6.628676470588237, 3.6416666666666675, 4.071008403361345, 4.0, 6.818125000000002, 3.909411764705883, 4.595633971291867, 5.286842105263158, 5.951953125000001), # 90
(6.006985256754339, 5.294050457984866, 5.797539763374486, 6.906852636876009, 6.61898934882595, 3.633439140374943, 4.053764417701237, 3.9828776406035673, 6.80542753772291, 3.896033748083596, 4.578334467481836, 5.2728523572305255, 5.942192965534979), # 91
(5.990785435677224, 5.267823018717643, 5.787139866255145, 6.890448812399357, 6.6090553134834185, 3.6250645633287615, 4.036443798918746, 3.9659593964334716, 6.792620610425241, 3.882618859033326, 4.5608312422470325, 5.258723991047579, 5.932193608539095), # 92
(5.974254106280194, 5.2414913978494635, 5.776615277777778, 6.873830978260871, 6.59888888888889, 3.6165604938271607, 4.019052910052911, 3.949251851851853, 6.779715740740742, 3.8691674074074074, 4.543150239234451, 5.244463937621833, 5.921970486111111), # 93
(5.957418751118269, 5.215068020708881, 5.765968467078191, 6.8570116948470226, 6.588504599370613, 3.607944490169182, 4.001598114142777, 3.9327615912208516, 6.766724451303157, 3.8556797030581786, 4.525317402091087, 5.230079127860805, 5.911539030349795), # 94
(5.940306852746467, 5.188565312624453, 5.755201903292182, 6.840003522544285, 6.577916969256839, 3.5992341106538643, 3.984085774227387, 3.916495198902607, 6.753658264746229, 3.842156055837973, 4.507358674463938, 5.2155764926720085, 5.900914673353911), # 95
(5.922945893719809, 5.161995698924733, 5.744318055555557, 6.822819021739131, 6.5671405228758175, 3.590446913580247, 3.966522253345783, 3.9004592592592604, 6.7405287037037045, 3.828596775599129, 4.489300000000001, 5.200962962962964, 5.890112847222223), # 96
(5.90536335659331, 5.135371604938273, 5.733319393004115, 6.805470752818036, 6.556189784555799, 3.581600457247371, 3.9489139145370085, 3.88466035665295, 6.7273472908093295, 3.815002172193981, 4.47116732234627, 5.186245469641182, 5.8791489840535), # 97
(5.8875867239219914, 5.108705455993629, 5.722208384773663, 6.7879712761674735, 6.545079278625032, 3.572712299954276, 3.931267120840106, 3.869105075445817, 6.714125548696845, 3.8013725554748654, 4.452986585149744, 5.17143094361418, 5.868038515946503), # 98
(5.86964347826087, 5.0820096774193555, 5.710987500000001, 6.770333152173914, 6.533823529411766, 3.5638000000000005, 3.9135882352941187, 3.8538000000000006, 6.700875000000001, 3.787708235294118, 4.434783732057417, 5.156526315789474, 5.8567968750000015), # 99
(5.851561102164967, 5.0552966945440065, 5.6996592078189305, 6.752568941223833, 6.5224370612442515, 3.5548811156835853, 3.8958836209380876, 3.8387517146776413, 6.687607167352539, 3.7740095215040754, 4.416584706716287, 5.141538517074581, 5.8454394933127585), # 100
(5.833367078189301, 5.028578932696138, 5.6882259773662565, 6.734691203703705, 6.510934398450739, 3.54597320530407, 3.8781596408110577, 3.823966803840878, 6.674333573388204, 3.760276723957073, 4.398415452773348, 5.126474478377013, 5.83398180298354), # 101
(5.81508888888889, 5.001868817204302, 5.676690277777778, 6.716712500000002, 6.499330065359478, 3.537093827160495, 3.8604226579520704, 3.8094518518518523, 6.661065740740741, 3.7465101525054476, 4.3803019138755985, 5.1113411306042895, 5.822439236111112), # 102
(5.796754016818752, 4.975178773397054, 5.665054578189301, 6.6986453904991965, 6.4876385862987185, 3.5282605395518982, 3.8426790354001685, 3.795213443072703, 6.647815192043897, 3.7327101170015338, 4.362270033670034, 5.0961454046639245, 5.810827224794239), # 103
(5.778389944533907, 4.9485212266029475, 5.653321347736626, 6.680502435587763, 6.475874485596709, 3.519490900777321, 3.824935136194396, 3.78125816186557, 6.634593449931414, 3.7188769272976687, 4.3443457558036505, 5.080894231463433, 5.799161201131688), # 104
(5.760024154589373, 4.921908602150538, 5.641493055555556, 6.662296195652175, 6.4640522875817, 3.510802469135803, 3.8071973233737952, 3.7675925925925933, 6.621412037037038, 3.7050108932461883, 4.326555023923445, 5.0655945419103325, 5.787456597222223), # 105
(5.741684129540169, 4.89535332536838, 5.629572170781894, 6.6440392310789065, 6.452186516581943, 3.5022128029263833, 3.7894719599774076, 3.754223319615913, 6.608282475994513, 3.6911123246994273, 4.308923781676413, 5.050253266912137, 5.775728845164609), # 106
(5.723397351941315, 4.868867821585027, 5.617561162551442, 6.625744102254429, 6.4402916969256845, 3.4937394604481034, 3.7717654090442774, 3.741156927297669, 6.5952162894375865, 3.677181531509724, 4.291477972709552, 5.034877337376363, 5.763993377057614), # 107
(5.705191304347827, 4.842464516129033, 5.605462500000002, 6.607423369565219, 6.428382352941177, 3.4854000000000007, 3.7540840336134456, 3.7284000000000006, 6.582225000000001, 3.6632188235294123, 4.274243540669857, 5.019473684210528, 5.7522656250000015), # 108
(5.687093469314727, 4.816155834328954, 5.5932786522633755, 6.589089593397746, 6.416473008956671, 3.4772119798811163, 3.7364341967239576, 3.715959122085049, 6.569320130315502, 3.649224510610829, 4.257246429204325, 5.0040492383221435, 5.740561021090536), # 109
(5.66913132939703, 4.789954201513343, 5.581012088477368, 6.570755334138488, 6.4045781893004134, 3.4691929583904897, 3.718822261414854, 3.7038408779149523, 6.5565132030178335, 3.6351989026063105, 4.240512581959951, 4.988610930618729, 5.728894997427985), # 110
(5.6513323671497595, 4.763872043010754, 5.56866527777778, 6.552433152173914, 6.392712418300655, 3.4613604938271614, 3.7012545907251795, 3.6920518518518524, 6.543815740740742, 3.6211423093681923, 4.224067942583733, 4.9731656920077985, 5.717282986111112), # 111
(5.633724065127931, 4.737921784149741, 5.556240689300413, 6.5341356078905, 6.380890220285646, 3.45373214449017, 3.6837375476939753, 3.680598628257888, 6.53123926611797, 3.60705504074881, 4.207938454722666, 4.957720453396867, 5.705740419238684), # 112
(5.616302534221828, 4.712159171271572, 5.543770696951242, 6.515900329495225, 6.3691054081042235, 3.4463218615287086, 3.6663155781940624, 3.6695115412683643, 6.518827686755173, 3.592982841967638, 4.192154343691721, 4.942315761902657, 5.6942663405059335), # 113
(5.59888853874004, 4.686838310115322, 5.531427405012972, 6.497873652766403, 6.357236012739796, 3.439112765117941, 3.649210925046348, 3.6589267557030722, 6.506771421427837, 3.57918910074767, 4.176746602267919, 4.927147303267786, 5.682765248496022), # 114
(5.581430941802398, 4.661968319209828, 5.519218159624391, 6.480050703109068, 6.345244606733162, 3.4320861074992592, 3.6324357901149376, 3.648841592567226, 6.495074987201274, 3.5656951967928467, 4.161692706856257, 4.912222549535311, 5.6712039789962265), # 115
(5.5639079239425815, 4.637512968775022, 5.507119313990325, 6.4623996901598435, 6.333113115830268, 3.425225326372259, 3.6159628905167365, 3.6392281877393966, 6.483708803536699, 3.552476015069729, 4.146963558762889, 4.897513918492408, 5.659564355853536), # 116
(5.546297665694264, 4.613436029030833, 5.4951072213155925, 6.444888823555347, 6.320823465777067, 3.4185138594365347, 3.599764943368652, 3.6300586770981513, 6.472643289895323, 3.5395064405448777, 4.132530059293971, 4.882993827926251, 5.647828202914936), # 117
(5.528578347591128, 4.589701270197195, 5.483158234805021, 6.427486312932201, 6.308357582319506, 3.4119351443916837, 3.58381466578759, 3.6213051965220586, 6.461848865738362, 3.526761358184856, 4.118363109755655, 4.86863469562401, 5.635977344027416), # 118
(5.5107281501668455, 4.566272462494038, 5.471248707663435, 6.410160367927024, 6.295697391203533, 3.4054726189373, 3.568084774890454, 3.6129398818896874, 6.451295950527027, 3.5142156529562234, 4.104433611454097, 4.8544089393728616, 5.6239936030379605), # 119
(5.492725253955098, 4.543113376141296, 5.4593549930956575, 6.392879198176438, 6.282824818175099, 3.3991097207729797, 3.5525479877941524, 3.604934869079606, 6.440954963722536, 3.501844209825544, 4.09071246569545, 4.840288976959979, 5.611858803793559), # 120
(5.474547839489562, 4.520187781358898, 5.447453444306514, 6.375611013317061, 6.269721788980152, 3.3928298875983187, 3.5371770216155887, 3.5972622939703847, 6.4307963247861, 3.489621913759378, 4.07717057378587, 4.8262472261725335, 5.599554770141197), # 121
(5.456174087303913, 4.497459448366778, 5.435520414500828, 6.3583240229855145, 6.2563702293646415, 3.386616557112912, 3.521944593471671, 3.5898942924405897, 6.420790453178935, 3.4775236497242865, 4.063778837031511, 4.812256104797701, 5.587063325927863), # 122
(5.437582177931832, 4.474892147384865, 5.423532256883422, 6.340986436818417, 6.242752065074515, 3.3804531670163556, 3.5068234204793036, 3.5828030003687905, 6.410907768362253, 3.4655243026868328, 4.050508156738527, 4.798288030622653, 5.5743662950005435), # 123
(5.418750291906993, 4.452449648633093, 5.411465324659123, 6.323566464452393, 6.228849221855723, 3.374323155008244, 3.491786219755392, 3.575960553633556, 6.40111868979727, 3.453598757613577, 4.037329434213072, 4.784315421434566, 5.561445501206228), # 124
(5.399656609763076, 4.430095722331393, 5.399295971032755, 6.306032315524057, 6.214643625454214, 3.368209958788174, 3.476805708416844, 3.569339088113455, 6.391393636945197, 3.441721899471081, 4.024213570761301, 4.770310695020609, 5.548282768391898), # 125
(5.380279312033758, 4.407794138699697, 5.38700054920914, 6.288352199670033, 6.200117201615937, 3.362097016055741, 3.4618546035805626, 3.562910739687056, 6.381703029267252, 3.429868613225906, 4.011131467689368, 4.756246269167961, 5.534859920404548), # 126
(5.360596579252717, 4.385508667957935, 5.374555412393104, 6.27049432652694, 6.18525187608684, 3.3559677645105395, 3.446905622363457, 3.556647644232928, 6.372017286224645, 3.4180137838446147, 3.9980540263034277, 4.74209456166379, 5.52115878109116), # 127
(5.340586591953628, 4.363203080326041, 5.361936913789471, 6.2524269057314, 6.170029574612875, 3.349805641852167, 3.4319314818824296, 3.5505219376296377, 6.362306827278592, 3.406132296293768, 3.984952147909635, 4.727827990295274, 5.507161174298723), # 128
(5.320227530670169, 4.340841146023945, 5.349121406603064, 6.2341181469200295, 6.154432222939987, 3.343594085780217, 3.4169048992543885, 3.5445057557557567, 6.352542071890306, 3.394199035539928, 3.971796733814143, 4.713418972849582, 5.492848923874224), # 129
(5.29949757593602, 4.3183866352715805, 5.336085244038708, 6.215536259729452, 6.138441746814129, 3.3373165339942856, 3.401798591596238, 3.538571234489851, 6.3426934395210015, 3.3821888865496548, 3.958558685323107, 4.698839927113892, 5.47820385366465), # 130
(5.2783749082848574, 4.295803318288876, 5.322804779301229, 6.196649453796286, 6.122040071981248, 3.330956424193969, 3.386585276024886, 3.5326905097104904, 6.332731349631892, 3.3700767342895115, 3.945208903742681, 4.6840632708753756, 5.463207787516988), # 131
(5.256837708250356, 4.273054965295767, 5.309256365595449, 6.177425938757153, 6.105209124187293, 3.324497194078862, 3.3712376696572357, 3.5268357172962443, 6.322626221684193, 3.3578374637260593, 3.931718290379019, 4.669061421921206, 5.447842549278226), # 132
(5.234864156366198, 4.250105346512182, 5.295416356126191, 6.1578339242486715, 6.087930829178212, 3.3179222813485603, 3.355728489610194, 3.52097899312568, 6.312348475139117, 3.34544595982586, 3.9180577465382767, 4.6538067980385565, 5.432089962795352), # 133
(5.212432433166057, 4.226918232158054, 5.281261104098283, 6.137841619907463, 6.070187112699956, 3.3112151237026595, 3.3400304530006677, 3.5150924730773667, 6.301868529457878, 3.3328771075554746, 3.904198173526608, 4.6382718170146005, 5.41593185191535), # 134
(5.189520719183613, 4.203457392453315, 5.266766962716546, 6.117417235370148, 6.051959900498473, 3.3043591588407555, 3.324116276945561, 3.5091482930298725, 6.291156804101688, 3.320105791881466, 3.890110472650166, 4.622428896636512, 5.399350040485213), # 135
(5.1661071949525414, 4.179686597617896, 5.251910285185806, 6.0965289802733444, 6.033231118319711, 3.2973378244624443, 3.307958678561781, 3.5031185888617666, 6.280183718531765, 3.307106897770394, 3.8757655452151067, 4.606250454691465, 5.382326352351923), # 136
(5.142170041006521, 4.155569617871729, 5.236667424710887, 6.075145064253676, 6.0139826919096215, 3.290134558267319, 3.2915303749662335, 3.496975496451618, 6.26891969220932, 3.2938553101888215, 3.8611342925275838, 4.5897089089666325, 5.364842611362467), # 137
(5.117687437879229, 4.131070223434746, 5.221014734496611, 6.053233696947759, 5.994196547014152, 3.2827327979549787, 3.274804083275823, 3.4906911516779946, 6.25733514459557, 3.2803259141033085, 3.8461876158937516, 4.572776677249188, 5.346880641363835), # 138
(5.092637566104342, 4.106152184526877, 5.204928567747805, 6.030763087992216, 5.9738546093792495, 3.2751159812250163, 3.2577525206074562, 3.484237690419465, 6.245400495151723, 3.2664935944804188, 3.8308964166197645, 4.5554261773263045, 5.328422266203012), # 139
(5.066998606215539, 4.080779271368056, 5.188385277669293, 6.007701447023668, 5.952938804750868, 3.267267545777028, 3.2403484040780386, 3.477587248554598, 6.233086163339, 3.2523332362867117, 3.8152315960117766, 4.537629826985156, 5.30944930972699), # 140
(5.040748738746498, 4.054915254178213, 5.171361217465897, 5.984016983678733, 5.931431058874953, 3.2591709293106095, 3.2225644508044775, 3.4707119619619626, 6.220362568618609, 3.237819724488751, 3.7991640553759436, 4.519360044012916, 5.2899435957827485), # 141
(5.013866144230894, 4.02852390317728, 5.153832740342443, 5.959677907594033, 5.9093132974974525, 3.2508095695253565, 3.2043733779036763, 3.4635839665201273, 6.207200130451766, 3.222927944053097, 3.7826646960184185, 4.500589246196757, 5.26988694821728), # 142
(4.986329003202405, 4.001568988585189, 5.135776199503756, 5.934652428406186, 5.886567446364318, 3.242166904120864, 3.1857479024925417, 3.4561753981076597, 6.193569268299689, 3.207632779946312, 3.765704419245356, 4.481289851323854, 5.249261190877571), # 143
(4.958115496194711, 3.9740142806218723, 5.117167948154657, 5.908908755751814, 5.8631754312214985, 3.2332263707967286, 3.1666607416879797, 3.44845839260313, 6.179440401623586, 3.1919091171349563, 3.748254126362911, 4.46143427718138, 5.228048147610609), # 144
(4.929203803741487, 3.94582354950726, 5.097984339499974, 5.882415099267537, 5.839119177814941, 3.2239714072525447, 3.1470846126068963, 3.4404050858851063, 6.164783949884673, 3.175731840585593, 3.7302847186772374, 4.440994941556509, 5.206229642263381), # 145
(4.899572106376411, 3.916960565461286, 5.07820172674453, 5.855139668589977, 5.814380611890596, 3.214385451187909, 3.1269922323661983, 3.4319876138321566, 6.149570332544164, 3.1590758352647828, 3.71176709749449, 4.419944262236412, 5.183787498682872), # 146
(4.8691985846331605, 3.8873890987038786, 5.057796463093147, 5.827050673355749, 5.788941659194411, 3.204451940302415, 3.106356318082789, 3.4231781123228497, 6.133769969063275, 3.1419159861390877, 3.692672164120822, 4.398254657008267, 5.160703540716072), # 147
(4.838061419045413, 3.857072919454973, 5.036744901750651, 5.798116323201479, 5.7627842454723375, 3.194154312295661, 3.0851495868735763, 3.4139487172357548, 6.117353278903218, 3.124227178175069, 3.67297081986239, 4.375898543659242, 5.136959592209966), # 148
(4.806138790146848, 3.8259757979344986, 5.015023395921867, 5.7683048277637825, 5.735890296470323, 3.18347600486724, 3.0633447558554647, 3.4042715644494406, 6.100290681525204, 3.1059842963392885, 3.652633966025346, 4.352848339976515, 5.112537477011543), # 149
(4.773408878471139, 3.794061504362388, 4.992608298811617, 5.737584396679283, 5.708241737934316, 3.17240045571675, 3.040914542145361, 3.3941187898424743, 6.082552596390452, 3.0871622255983064, 3.631632503915846, 4.329076463747258, 5.087419018967789), # 150
(4.7398498645519656, 3.761293808958573, 4.969475963624726, 5.705923239584599, 5.679820495610267, 3.1609111025437833, 3.0178316628601705, 3.3834625292934266, 6.0641094429601745, 3.067735850918687, 3.609937334840043, 4.304555332758643, 5.0615860419256915), # 151
(4.705439928923006, 3.727636481942984, 4.945602743566021, 5.673289566116352, 5.650608495244122, 3.1489913830479384, 2.994068835116799, 3.372274918680865, 6.044931640695583, 3.04768005726699, 3.5875193601040936, 4.2792573647978465, 5.035020369732239), # 152
(4.670157252117937, 3.6930532935355544, 4.9209649918403215, 5.63965158591116, 5.620587662581834, 3.1366247349288097, 2.969598776032152, 3.3605280938833575, 6.0249896090578945, 3.0269697296097777, 3.5643494810141503, 4.253154977652039, 5.007703826234417), # 153
(4.6339800146704375, 3.657508013956215, 4.895539061652456, 5.604977508605646, 5.589739923369349, 3.1237945958859927, 2.9443942027231373, 3.3481941907794743, 6.00425376750832, 3.005579752913612, 3.5403985988763678, 4.2262205891083955, 4.979618235279215), # 154
(4.596886397114182, 3.6209644134248973, 4.869301306207246, 5.569235543836427, 5.5580472033526185, 3.110484403619083, 2.9184278323066573, 3.335245345247782, 5.982694535508077, 2.983485012145053, 3.5156376149969004, 4.198426616954089, 4.950745420713616), # 155
(4.5588545799828495, 3.5833862621615333, 4.842228078709517, 5.532393901240126, 5.525491428277589, 3.096677595827677, 2.89167238189962, 3.3216536931668514, 5.960282332518377, 2.9606603922706642, 3.490037430681903, 4.169745478976294, 4.9210672063846115), # 156
(4.519862743810118, 3.5447373303860545, 4.814295732364092, 5.494420790453363, 5.492054523890212, 3.0823576102113686, 2.8641005686189316, 3.3073913704152496, 5.936987578000434, 2.937080778257005, 3.4635689472375297, 4.1401495929621825, 4.890565416139187), # 157
(4.478808567843144, 3.5042718724633555, 4.784155172341414, 5.453861748990747, 5.4562086635226, 3.0666146857902663, 2.8350640325567147, 3.291478171409624, 5.910997254959459, 2.9120195497746866, 3.435357451523366, 4.108559738516604, 4.857891515649208), # 158
(4.429372060187042, 3.457839191759687, 4.744042691041793, 5.402386295273073, 5.409114785868978, 3.0442137888042624, 2.80092765803143, 3.26832811965863, 5.8718563567332875, 2.8813685964592475, 3.400450161371397, 4.068817514209865, 4.815256588152117), # 159
(4.370923256942587, 3.405058037124429, 4.693152574773534, 5.339146506245316, 5.349852078808078, 3.0146047776286107, 2.7613462490302707, 3.237359513716408, 5.8184551363371915, 2.8447233911177365, 3.3583557051657245, 4.020301169332709, 4.761852365336149), # 160
(4.303933232751577, 3.3462725208482818, 4.632028183146186, 5.264743502254038, 5.279035874569268, 2.9781463449421888, 2.7166088676041262, 3.1989603198658685, 5.751497860199412, 2.8023949159025627, 3.3094449927598246, 3.963460481344543, 4.698224426891459), # 161
(4.228873062255815, 3.281826755221944, 4.561212875769298, 5.179778403645797, 5.197281505381923, 2.9351971834238735, 2.667004575803886, 3.1535185043899214, 5.671688794748182, 2.7546941529661395, 3.254088934007173, 3.8987452277047767, 4.6249183525082005), # 162
(4.146213820097099, 3.212064852536115, 4.4812500122524215, 5.084852330767161, 5.105204303475413, 2.886115985752544, 2.6128224356804406, 3.1014220335714753, 5.5797322064117445, 2.7019320844608754, 3.1926584387612453, 3.82660518587282, 4.5424797218765285), # 163
(4.056426580917231, 3.1373309250814927, 4.3926829522051065, 4.9805664039646915, 5.003419601079114, 2.831261444607078, 2.55435150928468, 3.043058873693442, 5.476332361618335, 2.644419692539181, 3.125524416875518, 3.7474901333080823, 4.451454114686597), # 164
(3.9599824193580107, 3.0579690851487795, 4.296055055236902, 4.867521743584952, 4.892542730422395, 2.770992252666352, 2.4918808586674936, 2.978816991038728, 5.362193526796188, 2.5824679593534685, 3.0530577782034674, 3.6618498474699726, 4.3523871106285625), # 165
(3.857352410061239, 2.974323445028673, 4.191909680957357, 4.746319469974502, 4.773189023734629, 2.7056671026092456, 2.425699545879772, 2.9090843518902467, 5.238019968373544, 2.5163878670561477, 2.9756294325985677, 3.5701341058179015, 4.245824289392578), # 166
(3.749007627668714, 2.886738117011873, 4.080790188976023, 4.617560703479906, 4.645973813245188, 2.6356446871146355, 2.356096632972405, 2.834248922530906, 5.10451595277864, 2.4464903977996286, 2.8936102899142964, 3.4727926858112754, 4.132311230668798), # 167
(3.6354191468222377, 2.7955572133890776, 3.9632399389024493, 4.4818465644477286, 4.511512431183446, 2.5612836988614, 2.2833611819962827, 2.754698669243616, 4.962385746439714, 2.3730865337363234, 2.8073712600041287, 3.3702753649095074, 4.012393514147377), # 168
(3.5170580421636095, 2.701124846450988, 3.839802290346186, 4.339778173224531, 4.370420209778772, 2.482942830528417, 2.207782255002295, 2.6708215583112875, 4.812333615785003, 2.2964872570186423, 2.717283252721541, 3.2630319205720038, 3.8866167195184715), # 169
(3.3943953883346305, 2.603785128488303, 3.7110206029167814, 4.191956650156873, 4.223312481260541, 2.400980774794564, 2.129648914041332, 2.5830055560168286, 4.655063827242744, 2.217003549798995, 2.62371717792001, 3.1515121302581757, 3.7555264264722337), # 170
(3.2679022599771006, 2.503882171791721, 3.577438236223787, 4.038983115591321, 4.070804577858124, 2.3157562243387195, 2.0492502211642836, 2.49163862864315, 4.491280647241174, 2.1349463942297935, 2.527043945453009, 3.036165771427432, 3.6196682146988195), # 171
(3.1380497317328193, 2.401760088651942, 3.4395985498767523, 3.8814586898744383, 3.913511831800893, 2.2276278718397604, 1.9668752384220396, 2.3971087424731627, 4.321688342208532, 2.050626772463448, 2.4276344651740165, 2.917442621539183, 3.4795876638883825), # 172
(3.0053088782435884, 2.2977629913596656, 3.2980449034852275, 3.719984493352786, 3.7520495753182215, 2.1369544099765654, 1.88281302786549, 2.2998038637897746, 4.146991178573054, 1.9643556666523692, 2.325859646936507, 2.7957924580528353, 3.335830353731078), # 173
(2.8701507741512065, 2.192234992205591, 3.1533206566587615, 3.555161646372925, 3.5870331406394804, 2.0440945314280112, 1.7973526515455256, 2.2001119588758966, 3.967893422762979, 1.8764440589489682, 2.222090400593957, 2.671665058427801, 3.1889418639170604), # 174
(2.7330464940974735, 2.0855202034804172, 3.0059691690069053, 3.3875912692814207, 3.419077859994042, 1.9494069288729774, 1.710783171513035, 2.098420994014438, 3.7850993412065437, 1.7872029315056548, 2.116697635999842, 2.545510200123489, 3.039467774136485), # 175
(2.5944671127241916, 1.977962737474844, 2.8565338001392075, 3.2178744824248353, 3.2487990656112786, 1.8532502949903402, 1.6233936498189092, 1.9951189354883097, 3.5993132003319857, 1.6969432664748405, 2.0100522630076383, 2.4177776605993078, 2.8879536640795047), # 176
(2.45488370467316, 1.8699067064795711, 2.7055579096652185, 3.0466124061497304, 3.076812089720564, 1.7559833224589783, 1.5354731485140378, 1.89059374958042, 3.4112392665675424, 1.605976046008935, 1.9025251914708217, 2.2889172173146677, 2.734945113436275), # 177
(2.3147673445861785, 1.7616962227852973, 2.5535848571944886, 2.87440616080267, 2.9037322645512686, 1.6579647039577698, 1.4473107296493106, 1.7852334025736796, 3.221581806341452, 1.5146122522603502, 1.7944873312428677, 2.1593786477289765, 2.5809877018969516), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_arriving_acc = (
(2, 4, 1, 3, 2, 0, 2, 2, 1, 1, 1, 0, 0, 1, 2, 2, 1, 3, 2, 2, 0, 2, 1, 1, 1, 0), # 0
(6, 5, 5, 7, 3, 1, 3, 4, 2, 2, 2, 0, 0, 5, 6, 5, 4, 9, 2, 3, 1, 2, 2, 1, 2, 0), # 1
(8, 8, 8, 7, 5, 1, 5, 5, 3, 2, 2, 0, 0, 6, 13, 8, 9, 10, 4, 6, 1, 4, 2, 1, 2, 0), # 2
(10, 12, 10, 11, 7, 2, 8, 7, 6, 2, 2, 0, 0, 9, 18, 11, 13, 14, 6, 8, 3, 6, 2, 1, 2, 0), # 3
(15, 15, 18, 14, 9, 2, 9, 9, 10, 3, 4, 0, 0, 11, 24, 12, 15, 18, 8, 10, 4, 7, 4, 1, 2, 0), # 4
(19, 17, 21, 18, 11, 3, 10, 12, 12, 4, 5, 1, 0, 12, 29, 13, 16, 20, 11, 11, 6, 11, 6, 2, 3, 0), # 5
(25, 18, 25, 22, 13, 4, 12, 15, 12, 4, 7, 1, 0, 20, 34, 16, 18, 25, 13, 14, 7, 13, 6, 2, 3, 0), # 6
(29, 23, 29, 26, 17, 6, 15, 15, 14, 4, 8, 1, 0, 26, 38, 18, 22, 29, 17, 15, 9, 14, 7, 3, 5, 0), # 7
(32, 29, 30, 31, 17, 6, 16, 16, 15, 4, 8, 2, 0, 33, 42, 20, 31, 33, 18, 21, 10, 16, 8, 3, 5, 0), # 8
(39, 36, 32, 35, 20, 8, 19, 20, 16, 6, 8, 3, 0, 37, 46, 23, 36, 37, 22, 22, 11, 16, 10, 5, 5, 0), # 9
(43, 44, 37, 37, 21, 9, 22, 23, 18, 7, 8, 4, 0, 39, 48, 27, 37, 41, 26, 25, 13, 18, 10, 5, 5, 0), # 10
(48, 51, 44, 39, 24, 11, 24, 25, 19, 8, 9, 4, 0, 44, 54, 31, 42, 48, 27, 25, 14, 20, 11, 6, 6, 0), # 11
(52, 56, 51, 40, 31, 12, 26, 27, 20, 8, 9, 5, 0, 49, 56, 35, 44, 50, 31, 28, 15, 21, 12, 7, 6, 0), # 12
(57, 62, 58, 44, 35, 13, 29, 31, 24, 11, 9, 5, 0, 49, 63, 38, 46, 56, 35, 32, 20, 23, 17, 7, 7, 0), # 13
(67, 68, 67, 47, 42, 13, 33, 32, 24, 12, 10, 6, 0, 52, 65, 42, 48, 60, 39, 33, 21, 25, 17, 8, 7, 0), # 14
(72, 75, 70, 53, 48, 14, 33, 34, 26, 13, 11, 6, 0, 53, 70, 44, 51, 62, 43, 35, 22, 26, 19, 8, 8, 0), # 15
(75, 79, 74, 56, 53, 15, 34, 35, 28, 14, 11, 6, 0, 57, 76, 48, 54, 69, 47, 37, 24, 27, 20, 10, 8, 0), # 16
(80, 82, 79, 61, 57, 15, 38, 35, 33, 15, 13, 6, 0, 60, 81, 51, 56, 71, 50, 40, 24, 28, 24, 10, 9, 0), # 17
(86, 92, 84, 64, 61, 19, 44, 37, 33, 16, 13, 6, 0, 62, 86, 55, 60, 71, 57, 43, 24, 31, 26, 10, 9, 0), # 18
(92, 98, 88, 70, 65, 20, 44, 38, 35, 17, 14, 6, 0, 68, 92, 61, 64, 73, 61, 45, 26, 34, 28, 10, 10, 0), # 19
(99, 107, 91, 76, 71, 24, 46, 39, 39, 18, 16, 6, 0, 75, 94, 69, 70, 77, 63, 47, 26, 36, 30, 10, 11, 0), # 20
(104, 112, 95, 81, 79, 25, 47, 44, 41, 20, 18, 6, 0, 85, 98, 70, 74, 82, 65, 52, 30, 41, 30, 10, 11, 0), # 21
(109, 123, 102, 84, 82, 27, 53, 47, 42, 20, 18, 6, 0, 92, 104, 71, 79, 86, 68, 54, 30, 43, 32, 11, 11, 0), # 22
(114, 127, 107, 89, 87, 27, 55, 49, 45, 20, 20, 7, 0, 93, 107, 75, 86, 90, 72, 58, 31, 45, 33, 12, 11, 0), # 23
(117, 132, 111, 94, 89, 31, 56, 52, 49, 21, 20, 8, 0, 101, 116, 81, 89, 95, 72, 62, 32, 48, 35, 15, 11, 0), # 24
(126, 139, 115, 99, 93, 34, 57, 53, 49, 23, 20, 8, 0, 106, 126, 85, 90, 101, 74, 62, 34, 48, 37, 15, 11, 0), # 25
(135, 144, 121, 100, 95, 36, 60, 55, 49, 25, 20, 9, 0, 113, 128, 88, 95, 105, 74, 63, 37, 50, 39, 16, 11, 0), # 26
(144, 148, 122, 105, 100, 38, 63, 57, 52, 25, 21, 10, 0, 121, 133, 95, 102, 110, 77, 65, 37, 55, 42, 17, 11, 0), # 27
(155, 154, 126, 113, 104, 41, 67, 59, 55, 28, 21, 10, 0, 127, 144, 98, 103, 113, 78, 65, 38, 57, 45, 17, 13, 0), # 28
(160, 161, 131, 119, 109, 43, 70, 62, 57, 28, 22, 10, 0, 134, 151, 99, 109, 120, 80, 65, 41, 61, 49, 17, 13, 0), # 29
(163, 168, 134, 129, 112, 44, 75, 63, 59, 28, 22, 11, 0, 139, 157, 103, 115, 125, 84, 68, 42, 65, 50, 18, 14, 0), # 30
(170, 173, 142, 134, 117, 48, 76, 64, 59, 28, 24, 11, 0, 143, 165, 113, 117, 131, 88, 70, 43, 69, 50, 18, 14, 0), # 31
(176, 177, 149, 136, 122, 50, 77, 67, 61, 28, 25, 12, 0, 149, 171, 115, 121, 134, 90, 73, 45, 70, 51, 19, 15, 0), # 32
(180, 184, 154, 143, 127, 50, 80, 68, 64, 28, 27, 13, 0, 153, 176, 122, 123, 140, 92, 75, 45, 71, 56, 19, 15, 0), # 33
(188, 193, 161, 149, 129, 50, 83, 71, 67, 30, 27, 13, 0, 162, 179, 125, 125, 141, 94, 78, 48, 73, 57, 19, 15, 0), # 34
(191, 197, 166, 155, 131, 52, 85, 74, 68, 32, 29, 13, 0, 168, 182, 130, 129, 147, 98, 82, 48, 77, 57, 21, 17, 0), # 35
(197, 207, 173, 164, 137, 54, 87, 78, 70, 34, 29, 13, 0, 172, 188, 134, 131, 154, 104, 86, 49, 78, 57, 21, 18, 0), # 36
(206, 217, 176, 170, 138, 56, 89, 82, 73, 37, 29, 14, 0, 177, 192, 139, 137, 160, 106, 88, 49, 79, 60, 21, 19, 0), # 37
(206, 223, 181, 172, 147, 56, 90, 83, 78, 38, 29, 14, 0, 181, 197, 144, 143, 164, 109, 93, 51, 83, 60, 21, 20, 0), # 38
(212, 229, 185, 176, 153, 59, 93, 86, 80, 41, 31, 15, 0, 190, 202, 148, 143, 167, 112, 93, 53, 83, 60, 22, 20, 0), # 39
(221, 233, 194, 180, 159, 62, 94, 89, 81, 42, 32, 15, 0, 197, 205, 151, 145, 172, 115, 97, 55, 86, 64, 22, 22, 0), # 40
(223, 236, 198, 185, 161, 65, 97, 91, 82, 43, 33, 16, 0, 201, 208, 153, 148, 178, 121, 101, 58, 91, 65, 24, 22, 0), # 41
(228, 242, 204, 190, 163, 65, 99, 92, 84, 44, 34, 16, 0, 207, 213, 157, 150, 185, 123, 103, 58, 92, 65, 24, 24, 0), # 42
(236, 247, 210, 193, 169, 67, 100, 94, 87, 45, 35, 17, 0, 213, 219, 158, 155, 189, 125, 105, 60, 94, 65, 24, 25, 0), # 43
(243, 251, 215, 205, 170, 70, 102, 97, 90, 46, 37, 17, 0, 219, 224, 161, 157, 192, 127, 107, 61, 99, 68, 27, 26, 0), # 44
(247, 259, 221, 210, 172, 71, 104, 99, 92, 47, 38, 17, 0, 222, 231, 164, 162, 194, 133, 108, 62, 102, 69, 27, 26, 0), # 45
(252, 264, 223, 212, 174, 74, 108, 101, 95, 47, 38, 17, 0, 226, 233, 167, 163, 200, 136, 113, 63, 102, 71, 28, 27, 0), # 46
(258, 272, 228, 217, 177, 77, 109, 103, 98, 51, 39, 17, 0, 233, 238, 174, 165, 203, 137, 116, 63, 107, 72, 30, 27, 0), # 47
(266, 279, 234, 226, 188, 78, 109, 107, 100, 52, 40, 17, 0, 236, 244, 177, 167, 207, 140, 118, 66, 111, 74, 31, 27, 0), # 48
(272, 289, 235, 233, 190, 80, 111, 107, 102, 52, 43, 17, 0, 242, 250, 183, 174, 211, 142, 120, 67, 115, 75, 31, 27, 0), # 49
(277, 292, 240, 242, 196, 81, 111, 108, 103, 53, 43, 17, 0, 246, 255, 184, 178, 216, 144, 121, 68, 116, 78, 31, 28, 0), # 50
(282, 296, 244, 247, 198, 85, 115, 111, 107, 54, 44, 19, 0, 253, 255, 191, 181, 222, 146, 122, 69, 117, 80, 31, 28, 0), # 51
(286, 299, 247, 254, 201, 88, 115, 114, 111, 56, 44, 19, 0, 257, 263, 194, 181, 227, 146, 126, 71, 118, 83, 34, 28, 0), # 52
(291, 302, 253, 258, 205, 92, 117, 118, 111, 57, 45, 19, 0, 260, 268, 198, 185, 233, 150, 129, 75, 122, 87, 34, 29, 0), # 53
(298, 307, 260, 264, 212, 93, 117, 119, 112, 57, 46, 20, 0, 265, 273, 201, 192, 238, 151, 132, 76, 125, 88, 34, 30, 0), # 54
(307, 314, 266, 271, 213, 96, 119, 122, 116, 59, 47, 20, 0, 268, 276, 203, 196, 243, 151, 136, 78, 129, 90, 35, 32, 0), # 55
(312, 324, 271, 283, 213, 98, 119, 122, 116, 62, 47, 20, 0, 273, 281, 207, 205, 247, 155, 140, 82, 130, 90, 35, 32, 0), # 56
(315, 327, 276, 290, 221, 101, 121, 123, 117, 63, 50, 20, 0, 283, 285, 210, 210, 256, 159, 141, 84, 135, 92, 36, 33, 0), # 57
(322, 334, 282, 293, 228, 103, 123, 127, 122, 65, 51, 20, 0, 290, 289, 215, 215, 261, 160, 143, 85, 137, 95, 37, 33, 0), # 58
(327, 341, 285, 301, 233, 103, 127, 130, 123, 66, 51, 20, 0, 296, 293, 221, 222, 266, 162, 145, 85, 140, 97, 37, 33, 0), # 59
(333, 346, 295, 305, 236, 104, 131, 131, 127, 66, 52, 20, 0, 300, 300, 226, 227, 269, 163, 147, 86, 142, 99, 41, 33, 0), # 60
(339, 354, 300, 310, 238, 106, 132, 131, 129, 67, 52, 23, 0, 307, 303, 229, 228, 274, 169, 148, 88, 146, 101, 46, 33, 0), # 61
(347, 359, 303, 314, 245, 106, 135, 134, 129, 67, 53, 23, 0, 315, 312, 231, 231, 281, 172, 149, 89, 147, 103, 47, 33, 0), # 62
(354, 364, 307, 322, 248, 107, 138, 136, 135, 68, 54, 23, 0, 321, 317, 234, 237, 287, 175, 152, 92, 148, 103, 48, 34, 0), # 63
(361, 368, 310, 332, 253, 109, 140, 138, 140, 69, 57, 23, 0, 331, 321, 239, 239, 290, 178, 153, 94, 151, 107, 50, 35, 0), # 64
(367, 375, 318, 335, 254, 110, 145, 141, 144, 70, 58, 25, 0, 340, 325, 245, 242, 293, 178, 154, 95, 153, 112, 50, 35, 0), # 65
(370, 378, 327, 346, 255, 113, 145, 141, 144, 72, 58, 25, 0, 347, 330, 250, 245, 299, 179, 159, 96, 156, 114, 50, 35, 0), # 66
(375, 383, 331, 353, 258, 115, 147, 142, 149, 73, 59, 26, 0, 355, 333, 257, 248, 304, 181, 162, 100, 156, 116, 50, 36, 0), # 67
(381, 387, 338, 361, 261, 117, 150, 142, 151, 75, 62, 27, 0, 362, 341, 258, 250, 308, 182, 163, 100, 156, 118, 50, 36, 0), # 68
(388, 392, 343, 368, 267, 118, 152, 146, 153, 77, 63, 27, 0, 369, 346, 261, 252, 314, 186, 166, 101, 158, 119, 51, 36, 0), # 69
(396, 400, 345, 369, 274, 121, 155, 147, 158, 77, 65, 27, 0, 375, 350, 266, 253, 316, 188, 166, 102, 161, 122, 51, 36, 0), # 70
(399, 405, 348, 379, 280, 124, 157, 147, 161, 77, 65, 28, 0, 386, 355, 272, 256, 321, 189, 168, 105, 164, 123, 51, 36, 0), # 71
(403, 414, 350, 382, 286, 127, 157, 152, 162, 77, 65, 28, 0, 395, 356, 276, 262, 325, 191, 169, 105, 165, 123, 52, 36, 0), # 72
(407, 421, 352, 387, 289, 133, 158, 153, 163, 80, 67, 28, 0, 400, 361, 279, 265, 332, 195, 171, 105, 166, 123, 52, 36, 0), # 73
(414, 422, 358, 389, 295, 134, 159, 155, 167, 81, 67, 28, 0, 403, 364, 281, 269, 336, 199, 175, 105, 169, 124, 53, 36, 0), # 74
(421, 428, 365, 399, 298, 135, 160, 157, 169, 82, 67, 29, 0, 408, 372, 285, 271, 339, 200, 176, 105, 173, 124, 55, 37, 0), # 75
(430, 440, 369, 401, 301, 135, 162, 159, 173, 84, 67, 29, 0, 417, 372, 290, 273, 344, 200, 179, 106, 175, 127, 56, 39, 0), # 76
(439, 447, 377, 407, 310, 136, 164, 163, 173, 84, 68, 29, 0, 425, 375, 292, 278, 347, 201, 180, 109, 178, 128, 56, 39, 0), # 77
(441, 456, 383, 410, 314, 137, 166, 166, 176, 86, 68, 29, 0, 432, 381, 295, 280, 351, 203, 181, 109, 181, 131, 57, 39, 0), # 78
(448, 459, 386, 415, 318, 139, 167, 167, 179, 88, 69, 29, 0, 434, 387, 298, 282, 354, 205, 186, 111, 181, 133, 58, 41, 0), # 79
(453, 462, 391, 418, 319, 142, 169, 170, 181, 89, 70, 29, 0, 440, 392, 301, 283, 360, 209, 189, 113, 181, 134, 61, 41, 0), # 80
(464, 466, 394, 421, 321, 144, 169, 170, 181, 89, 71, 30, 0, 445, 397, 304, 288, 366, 213, 189, 113, 182, 134, 61, 41, 0), # 81
(468, 474, 397, 428, 325, 146, 171, 174, 187, 90, 73, 30, 0, 448, 401, 314, 291, 371, 214, 191, 116, 183, 134, 61, 42, 0), # 82
(473, 479, 402, 432, 330, 148, 171, 175, 189, 90, 75, 30, 0, 451, 407, 318, 298, 372, 215, 193, 119, 184, 134, 62, 43, 0), # 83
(478, 484, 406, 441, 333, 149, 172, 178, 194, 93, 78, 31, 0, 454, 413, 323, 300, 375, 216, 194, 120, 187, 135, 63, 44, 0), # 84
(483, 489, 412, 443, 334, 149, 173, 179, 196, 94, 78, 31, 0, 460, 421, 325, 302, 379, 217, 194, 122, 190, 136, 64, 45, 0), # 85
(489, 490, 416, 451, 335, 149, 174, 180, 196, 96, 78, 32, 0, 465, 426, 327, 306, 384, 220, 200, 124, 192, 137, 65, 46, 0), # 86
(495, 493, 421, 457, 337, 150, 177, 183, 198, 97, 79, 33, 0, 468, 429, 331, 308, 389, 220, 201, 126, 193, 138, 66, 46, 0), # 87
(502, 500, 430, 467, 340, 154, 181, 184, 208, 98, 79, 34, 0, 476, 440, 335, 312, 392, 224, 204, 127, 195, 139, 66, 46, 0), # 88
(507, 503, 433, 476, 344, 155, 183, 186, 210, 100, 80, 34, 0, 486, 443, 340, 314, 398, 230, 207, 128, 197, 141, 68, 47, 0), # 89
(516, 508, 439, 480, 346, 157, 183, 188, 213, 101, 81, 35, 0, 491, 449, 342, 316, 403, 230, 207, 129, 199, 144, 70, 47, 0), # 90
(522, 510, 447, 484, 348, 160, 187, 188, 214, 101, 81, 36, 0, 498, 454, 345, 318, 406, 234, 211, 132, 204, 144, 72, 48, 0), # 91
(533, 514, 452, 489, 354, 161, 190, 193, 217, 101, 82, 36, 0, 504, 460, 350, 321, 411, 237, 215, 133, 204, 146, 74, 48, 0), # 92
(537, 524, 454, 493, 358, 163, 192, 194, 221, 103, 83, 36, 0, 511, 464, 351, 321, 412, 237, 215, 133, 208, 147, 74, 48, 0), # 93
(545, 527, 460, 497, 359, 164, 197, 199, 221, 103, 83, 36, 0, 520, 468, 358, 326, 417, 239, 215, 136, 211, 150, 76, 49, 0), # 94
(552, 534, 468, 502, 364, 165, 198, 199, 224, 103, 84, 36, 0, 526, 471, 359, 329, 419, 243, 216, 137, 214, 151, 76, 49, 0), # 95
(562, 536, 474, 508, 370, 168, 202, 200, 225, 104, 84, 38, 0, 531, 477, 365, 330, 424, 243, 219, 138, 216, 154, 76, 49, 0), # 96
(570, 541, 479, 514, 377, 172, 205, 203, 229, 106, 86, 38, 0, 538, 479, 372, 330, 434, 245, 222, 140, 218, 158, 78, 49, 0), # 97
(573, 544, 482, 522, 381, 175, 207, 203, 229, 106, 86, 38, 0, 542, 482, 372, 332, 435, 246, 224, 141, 222, 160, 78, 49, 0), # 98
(579, 547, 485, 525, 389, 176, 210, 206, 232, 106, 86, 39, 0, 549, 483, 373, 336, 439, 247, 226, 141, 224, 162, 78, 49, 0), # 99
(585, 550, 489, 531, 392, 179, 211, 207, 232, 107, 88, 39, 0, 554, 488, 377, 339, 442, 250, 228, 141, 226, 166, 79, 50, 0), # 100
(588, 552, 491, 540, 401, 182, 211, 208, 232, 109, 89, 39, 0, 562, 489, 381, 343, 444, 250, 232, 143, 228, 166, 79, 50, 0), # 101
(593, 554, 494, 545, 406, 187, 213, 210, 232, 111, 90, 41, 0, 568, 492, 383, 346, 450, 253, 235, 146, 231, 169, 82, 50, 0), # 102
(599, 560, 498, 548, 410, 189, 213, 212, 235, 111, 92, 41, 0, 576, 501, 384, 350, 452, 254, 241, 147, 231, 169, 83, 50, 0), # 103
(607, 565, 501, 552, 417, 192, 216, 213, 238, 112, 92, 41, 0, 583, 505, 391, 353, 457, 256, 241, 148, 235, 172, 83, 51, 0), # 104
(612, 570, 509, 554, 421, 193, 218, 215, 239, 112, 92, 41, 0, 593, 509, 393, 356, 462, 259, 241, 148, 239, 173, 83, 51, 0), # 105
(619, 576, 513, 560, 424, 197, 218, 219, 243, 112, 92, 41, 0, 599, 518, 397, 356, 465, 261, 245, 149, 239, 175, 85, 51, 0), # 106
(624, 580, 519, 569, 433, 197, 218, 222, 249, 113, 93, 42, 0, 603, 523, 400, 358, 465, 261, 248, 150, 240, 181, 86, 52, 0), # 107
(632, 583, 527, 573, 435, 198, 219, 223, 252, 114, 93, 42, 0, 609, 526, 405, 361, 474, 263, 250, 151, 241, 185, 86, 54, 0), # 108
(638, 584, 533, 580, 442, 203, 221, 223, 254, 115, 94, 43, 0, 614, 533, 408, 361, 476, 266, 252, 152, 243, 186, 87, 54, 0), # 109
(642, 591, 539, 582, 446, 203, 224, 224, 259, 115, 95, 43, 0, 621, 538, 410, 361, 481, 266, 257, 152, 245, 189, 87, 54, 0), # 110
(651, 598, 542, 587, 455, 208, 226, 228, 262, 116, 95, 44, 0, 625, 540, 416, 365, 488, 270, 257, 156, 249, 192, 87, 54, 0), # 111
(656, 604, 549, 591, 457, 210, 228, 230, 264, 116, 95, 44, 0, 633, 546, 422, 369, 489, 271, 259, 158, 252, 196, 89, 55, 0), # 112
(663, 609, 550, 596, 463, 212, 230, 234, 267, 118, 96, 44, 0, 640, 550, 429, 372, 492, 272, 263, 158, 253, 196, 89, 55, 0), # 113
(670, 614, 554, 601, 469, 214, 235, 235, 272, 118, 96, 46, 0, 643, 554, 432, 373, 497, 272, 265, 161, 256, 197, 89, 55, 0), # 114
(675, 616, 557, 606, 474, 217, 237, 237, 273, 119, 96, 46, 0, 650, 556, 436, 376, 500, 274, 269, 167, 257, 201, 89, 55, 0), # 115
(687, 623, 562, 610, 477, 217, 240, 237, 273, 120, 96, 46, 0, 654, 556, 438, 381, 501, 276, 272, 168, 259, 202, 90, 55, 0), # 116
(690, 628, 567, 616, 479, 221, 243, 239, 275, 120, 96, 47, 0, 657, 566, 440, 383, 503, 281, 274, 173, 263, 203, 92, 55, 0), # 117
(692, 628, 573, 618, 485, 223, 246, 241, 280, 120, 96, 48, 0, 659, 571, 446, 385, 505, 283, 274, 174, 264, 204, 94, 56, 0), # 118
(700, 632, 575, 625, 491, 223, 248, 242, 282, 120, 97, 49, 0, 667, 573, 451, 387, 509, 289, 277, 176, 267, 206, 95, 56, 0), # 119
(705, 635, 581, 630, 492, 225, 249, 243, 282, 120, 98, 50, 0, 670, 579, 454, 389, 516, 291, 278, 178, 267, 212, 95, 56, 0), # 120
(707, 638, 589, 635, 498, 225, 250, 244, 282, 123, 99, 50, 0, 676, 584, 455, 390, 520, 295, 281, 178, 269, 214, 95, 56, 0), # 121
(712, 642, 593, 641, 501, 225, 250, 249, 285, 124, 99, 50, 0, 682, 585, 459, 392, 521, 298, 282, 178, 269, 215, 95, 56, 0), # 122
(716, 648, 597, 653, 505, 226, 251, 251, 286, 124, 100, 51, 0, 691, 591, 461, 393, 525, 298, 283, 178, 273, 219, 96, 56, 0), # 123
(719, 651, 604, 656, 508, 227, 254, 252, 287, 125, 102, 51, 0, 693, 595, 462, 396, 528, 298, 284, 178, 277, 221, 98, 58, 0), # 124
(728, 654, 609, 659, 513, 228, 256, 253, 291, 127, 102, 51, 0, 699, 599, 462, 399, 529, 301, 285, 182, 281, 223, 99, 59, 0), # 125
(731, 658, 611, 667, 522, 228, 258, 254, 295, 127, 102, 51, 0, 702, 605, 465, 400, 535, 303, 288, 183, 284, 225, 100, 59, 0), # 126
(740, 662, 618, 670, 525, 231, 259, 255, 297, 127, 102, 51, 0, 705, 613, 468, 401, 541, 308, 289, 184, 285, 228, 102, 61, 0), # 127
(747, 667, 623, 680, 529, 234, 262, 255, 298, 129, 104, 52, 0, 709, 617, 468, 405, 543, 315, 289, 184, 287, 230, 102, 61, 0), # 128
(752, 674, 629, 687, 533, 236, 264, 258, 300, 129, 105, 53, 0, 720, 620, 471, 407, 544, 315, 289, 184, 288, 231, 103, 61, 0), # 129
(758, 677, 634, 693, 535, 238, 265, 261, 300, 130, 105, 53, 0, 724, 622, 474, 409, 547, 317, 291, 188, 289, 233, 103, 61, 0), # 130
(763, 680, 640, 698, 538, 240, 266, 262, 301, 131, 106, 53, 0, 732, 625, 483, 412, 552, 320, 292, 190, 290, 237, 104, 61, 0), # 131
(768, 682, 643, 704, 541, 241, 266, 267, 306, 131, 107, 53, 0, 736, 634, 487, 414, 553, 323, 295, 190, 294, 238, 104, 61, 0), # 132
(771, 688, 645, 713, 547, 242, 267, 267, 309, 131, 107, 54, 0, 742, 636, 489, 416, 558, 326, 295, 191, 296, 239, 105, 62, 0), # 133
(779, 691, 645, 715, 550, 243, 269, 269, 311, 132, 109, 54, 0, 747, 640, 490, 420, 561, 326, 297, 194, 300, 243, 105, 62, 0), # 134
(783, 693, 650, 718, 554, 245, 270, 272, 314, 132, 109, 55, 0, 752, 645, 493, 421, 570, 327, 297, 195, 301, 243, 105, 63, 0), # 135
(788, 697, 655, 720, 559, 246, 271, 273, 317, 134, 109, 56, 0, 760, 649, 498, 425, 574, 328, 298, 198, 305, 245, 108, 63, 0), # 136
(793, 701, 660, 726, 562, 248, 272, 276, 319, 135, 109, 56, 0, 766, 651, 499, 426, 576, 330, 301, 198, 308, 246, 109, 63, 0), # 137
(798, 703, 663, 728, 565, 251, 273, 276, 321, 135, 109, 56, 0, 774, 657, 503, 426, 583, 330, 303, 201, 309, 247, 109, 63, 0), # 138
(805, 705, 670, 733, 573, 252, 276, 276, 322, 135, 110, 56, 0, 780, 659, 506, 427, 585, 330, 303, 202, 312, 247, 109, 64, 0), # 139
(811, 713, 672, 739, 579, 254, 276, 278, 325, 136, 111, 56, 0, 784, 664, 512, 428, 592, 331, 305, 204, 318, 249, 109, 64, 0), # 140
(820, 715, 674, 749, 585, 257, 281, 279, 326, 136, 111, 56, 0, 791, 667, 517, 432, 598, 331, 307, 207, 319, 251, 110, 64, 0), # 141
(824, 719, 676, 752, 589, 260, 282, 280, 327, 136, 111, 56, 0, 795, 671, 520, 432, 604, 333, 309, 207, 321, 252, 112, 64, 0), # 142
(834, 722, 683, 759, 593, 261, 283, 284, 332, 136, 113, 56, 0, 797, 675, 520, 435, 608, 336, 311, 208, 324, 254, 114, 65, 0), # 143
(840, 724, 686, 760, 596, 263, 284, 286, 333, 137, 114, 58, 0, 803, 681, 521, 436, 612, 340, 312, 208, 328, 255, 116, 66, 0), # 144
(845, 731, 689, 763, 599, 266, 288, 287, 337, 137, 114, 58, 0, 811, 687, 523, 438, 615, 342, 312, 209, 330, 258, 116, 66, 0), # 145
(850, 733, 695, 768, 599, 267, 293, 289, 342, 137, 115, 58, 0, 817, 692, 524, 439, 618, 344, 312, 209, 332, 261, 116, 66, 0), # 146
(852, 737, 698, 773, 603, 268, 297, 289, 344, 137, 115, 58, 0, 825, 694, 525, 443, 622, 347, 315, 212, 332, 263, 118, 66, 0), # 147
(860, 738, 702, 774, 604, 268, 298, 290, 346, 137, 118, 58, 0, 831, 700, 529, 445, 627, 348, 317, 214, 336, 264, 118, 66, 0), # 148
(862, 743, 707, 780, 607, 269, 299, 291, 350, 138, 118, 58, 0, 834, 704, 532, 447, 631, 348, 318, 215, 338, 265, 118, 66, 0), # 149
(867, 745, 709, 784, 613, 274, 301, 292, 351, 139, 120, 59, 0, 835, 706, 533, 449, 640, 348, 320, 216, 341, 267, 119, 66, 0), # 150
(871, 748, 712, 792, 618, 274, 303, 292, 355, 140, 121, 59, 0, 839, 708, 538, 452, 645, 350, 324, 218, 343, 269, 119, 66, 0), # 151
(875, 748, 718, 796, 623, 277, 303, 293, 357, 141, 121, 59, 0, 845, 713, 542, 454, 650, 352, 325, 218, 345, 269, 121, 66, 0), # 152
(879, 751, 723, 798, 624, 278, 305, 294, 357, 141, 121, 59, 0, 850, 714, 543, 458, 652, 356, 325, 220, 349, 270, 121, 66, 0), # 153
(882, 751, 729, 803, 628, 280, 307, 295, 358, 141, 124, 59, 0, 855, 717, 544, 459, 653, 356, 326, 223, 352, 270, 121, 66, 0), # 154
(885, 757, 730, 805, 632, 281, 309, 296, 366, 142, 124, 59, 0, 863, 723, 550, 460, 656, 356, 326, 224, 353, 274, 123, 66, 0), # 155
(896, 760, 735, 814, 639, 282, 311, 298, 366, 142, 124, 60, 0, 867, 727, 551, 462, 663, 358, 327, 224, 353, 278, 124, 66, 0), # 156
(900, 762, 741, 818, 642, 282, 311, 298, 367, 142, 124, 60, 0, 873, 729, 553, 467, 667, 360, 329, 226, 353, 278, 127, 67, 0), # 157
(902, 765, 744, 821, 643, 286, 312, 298, 369, 142, 124, 62, 0, 878, 733, 556, 468, 672, 363, 331, 227, 355, 281, 127, 68, 0), # 158
(904, 767, 751, 824, 644, 289, 314, 300, 369, 143, 125, 62, 0, 882, 734, 560, 468, 674, 364, 334, 230, 357, 284, 127, 68, 0), # 159
(908, 769, 758, 829, 652, 291, 317, 301, 372, 143, 125, 62, 0, 889, 738, 565, 470, 677, 367, 335, 230, 359, 285, 128, 68, 0), # 160
(913, 772, 760, 832, 653, 291, 317, 303, 374, 144, 126, 62, 0, 891, 743, 566, 471, 683, 369, 336, 231, 360, 286, 128, 69, 0), # 161
(914, 774, 764, 835, 660, 292, 318, 307, 376, 146, 126, 64, 0, 896, 748, 568, 473, 687, 372, 338, 233, 360, 287, 128, 69, 0), # 162
(918, 776, 769, 836, 664, 295, 322, 308, 378, 146, 126, 64, 0, 899, 748, 575, 477, 693, 373, 339, 234, 361, 288, 128, 69, 0), # 163
(920, 780, 774, 840, 667, 298, 327, 309, 380, 146, 126, 64, 0, 901, 751, 576, 480, 696, 375, 339, 234, 361, 289, 128, 69, 0), # 164
(922, 781, 777, 842, 671, 300, 328, 312, 383, 146, 126, 65, 0, 907, 758, 582, 483, 697, 378, 339, 235, 361, 291, 128, 69, 0), # 165
(925, 786, 779, 848, 673, 304, 328, 315, 386, 146, 127, 65, 0, 910, 763, 585, 485, 699, 379, 339, 236, 362, 292, 130, 69, 0), # 166
(928, 790, 785, 853, 676, 307, 329, 316, 389, 148, 127, 65, 0, 913, 765, 585, 488, 706, 380, 339, 238, 362, 294, 131, 69, 0), # 167
(933, 791, 787, 856, 679, 308, 329, 320, 390, 150, 127, 65, 0, 916, 769, 588, 490, 708, 382, 341, 240, 367, 294, 131, 69, 0), # 168
(938, 792, 792, 861, 683, 310, 329, 320, 394, 151, 128, 65, 0, 919, 771, 591, 491, 713, 385, 342, 241, 367, 295, 131, 69, 0), # 169
(940, 793, 794, 864, 687, 311, 329, 324, 394, 153, 128, 67, 0, 923, 775, 593, 492, 717, 391, 344, 241, 367, 297, 132, 69, 0), # 170
(943, 795, 795, 865, 687, 314, 331, 326, 395, 153, 129, 67, 0, 927, 777, 598, 493, 722, 392, 345, 245, 368, 297, 132, 69, 0), # 171
(946, 798, 800, 868, 692, 315, 332, 329, 396, 153, 129, 68, 0, 930, 778, 603, 494, 725, 392, 345, 247, 369, 297, 132, 69, 0), # 172
(949, 800, 805, 871, 694, 316, 332, 329, 398, 153, 129, 68, 0, 934, 785, 608, 497, 728, 395, 346, 247, 371, 299, 133, 69, 0), # 173
(950, 803, 810, 874, 696, 316, 333, 329, 399, 155, 129, 68, 0, 939, 787, 613, 500, 733, 396, 347, 248, 373, 301, 133, 70, 0), # 174
(955, 805, 810, 875, 700, 319, 333, 329, 399, 155, 129, 68, 0, 940, 790, 613, 502, 735, 397, 348, 250, 373, 302, 134, 71, 0), # 175
(963, 805, 813, 876, 701, 319, 333, 329, 399, 155, 131, 68, 0, 944, 791, 618, 502, 737, 397, 349, 251, 374, 304, 134, 71, 0), # 176
(963, 810, 815, 881, 704, 319, 333, 329, 400, 155, 132, 68, 0, 949, 792, 620, 505, 738, 398, 349, 251, 376, 304, 134, 71, 0), # 177
(965, 811, 818, 882, 704, 319, 333, 329, 400, 155, 132, 68, 0, 951, 794, 621, 506, 741, 399, 349, 251, 376, 304, 135, 73, 0), # 178
(965, 811, 818, 882, 704, 319, 333, 329, 400, 155, 132, 68, 0, 951, 794, 621, 506, 741, 399, 349, 251, 376, 304, 135, 73, 0), # 179
)
passenger_arriving_rate = (
(3.012519347023061, 3.038908707831242, 2.605641614806254, 2.796600498238545, 2.2218742430438447, 1.0985292262130688, 1.2438106846121746, 1.163294043244856, 1.2180198124336015, 0.5937022523283556, 0.42052651638856037, 0.24489575391530874, 0.0, 3.050328127547018, 2.6938532930683956, 2.102632581942802, 1.7811067569850665, 2.436039624867203, 1.6286116605427985, 1.2438106846121746, 0.7846637330093348, 1.1109371215219224, 0.9322001660795152, 0.5211283229612508, 0.2762644279846584, 0.0), # 0
(3.2125962912119848, 3.2395333817796175, 2.777673295665077, 2.9813149139744777, 2.368996134989695, 1.1710942544148948, 1.3258406823791082, 1.2398784307264272, 1.2984490652665819, 0.6328471038415726, 0.4483096135956133, 0.2610608330407178, 0.0, 3.2518749884639133, 2.8716691634478955, 2.241548067978066, 1.8985413115247174, 2.5968981305331638, 1.735829803016998, 1.3258406823791082, 0.8364958960106391, 1.1844980674948475, 0.9937716379914928, 0.5555346591330154, 0.294503034707238, 0.0), # 1
(3.412033805387839, 3.439361843990039, 2.949021142773707, 3.165294467099158, 2.5155851894998977, 1.243369790079356, 1.4075455523882114, 1.316156311976105, 1.37855736137551, 0.671837066253082, 0.47598231487763143, 0.2771616326026528, 0.0, 3.4526188969258147, 3.0487779586291803, 2.379911574388157, 2.0155111987592456, 2.75711472275102, 1.842618836766547, 1.4075455523882114, 0.8881212786281114, 1.2577925947499489, 1.0550981556997194, 0.5898042285547415, 0.312669258544549, 0.0), # 2
(3.6100546758879375, 3.637601276065046, 3.1190054346599276, 3.347809383389434, 2.6610646704007612, 1.3150692179047898, 1.4886010924943869, 1.391825289373627, 1.4580270321842186, 0.7105174047639273, 0.5034348411827384, 0.2931342842465231, 0.0, 3.651763683752536, 3.224477126711754, 2.5171742059136917, 2.1315522142917818, 2.916054064368437, 1.9485554051230778, 1.4886010924943869, 0.9393351556462783, 1.3305323352003806, 1.1159364611298115, 0.6238010869319855, 0.3306910250968224, 0.0), # 3
(3.8058816890495892, 3.833458859607176, 3.286946449851519, 3.528129888622157, 2.804857841518597, 1.385905922589534, 1.5686831005525377, 1.4665829652987292, 1.5365404091165416, 0.748733384575152, 0.5305574134590577, 0.30891491961773826, 0.0, 3.848513179763891, 3.3980641157951204, 2.652787067295288, 2.246200153725456, 3.073080818233083, 2.053216151418221, 1.5686831005525377, 0.9899328018496671, 1.4024289207592986, 1.176043296207386, 0.6573892899703039, 0.3484962599642888, 0.0), # 4
(3.9987376312101066, 4.026141776218974, 3.452164466876259, 3.705526208574178, 2.9463879666797124, 1.4555932888319254, 1.6474673744175674, 1.5401269421311483, 1.6137798235963121, 0.7863302708877998, 0.5572402526547134, 0.32443967036170746, 0.0, 4.042071215779696, 3.568836373978782, 2.7862012632735667, 2.3589908126633987, 3.2275596471926242, 2.1561777189836078, 1.6474673744175674, 1.0397094920228038, 1.4731939833398562, 1.2351754028580595, 0.6904328933752518, 0.3660128887471795, 0.0), # 5
(4.1878452887068, 4.214857207502976, 3.613979764261934, 3.8792685690223436, 3.0850783097104175, 1.5238447013303027, 1.724629711944379, 1.6121548222506223, 1.689427607047363, 0.823153328902914, 0.5833735797178284, 0.3396446681238405, 0.0, 4.231641622619764, 3.736091349362245, 2.9168678985891416, 2.4694599867087415, 3.378855214094726, 2.2570167511508714, 1.724629711944379, 1.0884605009502162, 1.5425391548552088, 1.2930895230074482, 0.7227959528523867, 0.3831688370457252, 0.0), # 6
(4.372427447876982, 4.398812335061723, 3.7717126205363183, 4.048627195743508, 3.220352134437022, 1.5903735447830027, 1.7998459109878757, 1.6823642080368881, 1.7631660908935292, 0.8590478238215383, 0.608847615596527, 0.35446604454954656, 0.0, 4.416428231103912, 3.8991264900450116, 3.0442380779826346, 2.5771434714646144, 3.5263321817870583, 2.3553098912516433, 1.7998459109878757, 1.1359811034164304, 1.610176067218511, 1.3495423985811696, 0.7543425241072638, 0.39989203046015664, 0.0), # 7
(4.551706895057961, 4.577214340497755, 3.9246833142271984, 4.212872314514518, 3.3516327046858345, 1.6548932038883617, 1.8727917694029594, 1.7504527018696814, 1.8346776065586412, 0.8938590208447165, 0.6335525812389322, 0.36883993128423526, 0.0, 4.595634872051951, 4.057239244126587, 3.167762906194661, 2.681577062534149, 3.6693552131172824, 2.450633782617554, 1.8727917694029594, 1.1820665742059726, 1.6758163523429173, 1.4042907715048396, 0.7849366628454397, 0.41611039459070503, 0.0), # 8
(4.724906416587052, 4.749270405413613, 4.072212123862353, 4.371274151112226, 3.478343284283164, 1.7171170633447197, 1.9431430850445361, 1.8161179061287411, 1.9036444854665349, 0.9274321851734916, 0.657378697593168, 0.3827024599733158, 0.0, 4.768465376283698, 4.2097270597064735, 3.28689348796584, 2.782296555520474, 3.8072889709330697, 2.5425650685802377, 1.9431430850445361, 1.2265121881033711, 1.739171642141582, 1.4570913837040758, 0.8144424247724705, 0.4317518550376012, 0.0), # 9
(4.89124879880156, 4.914187711411834, 4.213619327969563, 4.52310293131348, 3.5999071370553204, 1.7767585078504131, 2.0105756557675067, 1.8790574231938029, 1.969749059041043, 0.9596125820089074, 0.6802161856073575, 0.3959897622621977, 0.0, 4.934123574618967, 4.355887384884174, 3.4010809280367877, 2.8788377460267216, 3.939498118082086, 2.6306803924713242, 2.0105756557675067, 1.269113219893152, 1.7999535685276602, 1.5077009771044938, 0.8427238655939127, 0.4467443374010759, 0.0), # 10
(5.049956828038804, 5.071173440094964, 4.348225205076608, 4.66762888089513, 3.715747526828614, 1.8335309221037792, 2.0747652794267752, 1.9389688554446038, 2.032673658705999, 0.9902454765520082, 0.7019552662296251, 0.40863796979629063, 0.0, 5.091813297877567, 4.495017667759196, 3.5097763311481254, 2.970736429656024, 4.065347317411998, 2.7145563976224456, 2.0747652794267752, 1.3096649443598423, 1.857873763414307, 1.5558762936317103, 0.8696450410153217, 0.46101576728136046, 0.0), # 11
(5.200253290636088, 5.219434773065535, 4.475350033711271, 4.804122225634027, 3.8252877174293514, 1.8871476908031546, 2.135387753877244, 1.9955498052608804, 2.092100615885236, 1.019176134003836, 0.7224861604080937, 0.42058321422100353, 0.0, 5.240738376879321, 4.626415356431038, 3.612430802040468, 3.0575284020115077, 4.184201231770472, 2.7937697273652327, 2.135387753877244, 1.3479626362879675, 1.9126438587146757, 1.6013740752113426, 0.8950700067422541, 0.47449407027868507, 0.0), # 12
(5.341360972930726, 5.358178891926092, 4.594314092401332, 4.93185319130702, 3.927950972683841, 1.9373221986468787, 2.192118876973817, 2.048497875022371, 2.1477122620025866, 1.046249819565436, 0.741699089090887, 0.43176162718174615, 0.0, 5.380102642444042, 4.749377898999207, 3.7084954454544348, 3.1387494586963074, 4.295424524005173, 2.8678970250313194, 2.192118876973817, 1.3838015704620563, 1.9639754863419205, 1.6439510637690071, 0.9188628184802665, 0.48710717199328113, 0.0), # 13
(5.47250266126003, 5.486612978279174, 4.704437659674574, 5.050092003690957, 4.0231605564183965, 1.9837678303332873, 2.2446344465713985, 2.097510667108812, 2.1991909284818845, 1.0713117984378504, 0.7594842732261287, 0.4421093403239281, 0.0, 5.509109925391539, 4.863202743563209, 3.797421366130643, 3.2139353953135505, 4.398381856963769, 2.9365149339523366, 2.2446344465713985, 1.4169770216666338, 2.0115802782091983, 1.6833640012303195, 0.9408875319349149, 0.49878299802537956, 0.0), # 14
(5.592901141961314, 5.60394421372732, 4.805041014058772, 5.158108888562694, 4.110339732459323, 2.0261979705607196, 2.292610260524888, 2.1422857838999394, 2.246218946746964, 1.094207335822124, 0.7757319337619422, 0.4515624852929587, 0.0, 5.626964056541629, 4.967187338222545, 3.8786596688097106, 3.2826220074663714, 4.492437893493928, 2.999200097459915, 2.292610260524888, 1.4472842646862283, 2.0551698662296616, 1.7193696295208984, 0.9610082028117546, 0.509449473975211, 0.0), # 15
(5.701779201371881, 5.709379779873073, 4.895444434081713, 5.255174071699074, 4.188911764632934, 2.064326004027511, 2.335722116689193, 2.1825208277754906, 2.2884786482216573, 1.1147816969192998, 0.7903322916464515, 0.4600571937342471, 0.0, 5.732868866714128, 5.060629131076717, 3.951661458232257, 3.3443450907578987, 4.5769572964433145, 3.0555291588856868, 2.335722116689193, 1.474518574305365, 2.094455882316467, 1.7517246905663582, 0.9790888868163427, 0.5190345254430068, 0.0), # 16
(5.798359625829046, 5.802126858318971, 4.974968198271177, 5.340557778876951, 4.2582999167655355, 2.0978653154320006, 2.3736458129192135, 2.217913401115205, 2.325652364329797, 1.1328801469304204, 0.8031755678277801, 0.46752959729320287, 0.0, 5.82602818672885, 5.142825570225231, 4.0158778391389, 3.3986404407912607, 4.651304728659594, 3.1050787615612867, 2.3736458129192135, 1.4984752253085718, 2.1291499583827678, 1.7801859262923174, 0.9949936396542355, 0.5274660780289975, 0.0), # 17
(5.881865201670123, 5.881392630667551, 5.042932585154941, 5.413530235873176, 4.317927452683436, 2.1265292894725265, 2.4060571470698555, 2.2481611062988156, 2.3574224264952193, 1.1483479510565309, 0.814151983254051, 0.4739158276152359, 0.0, 5.905645847405608, 5.213074103767594, 4.070759916270255, 3.445043853169592, 4.7148448529904385, 3.1474255488183416, 2.4060571470698555, 1.518949492480376, 2.158963726341718, 1.8045100786243924, 1.0085865170309882, 0.5346720573334138, 0.0), # 18
(5.95151871523242, 5.94638427852136, 5.09865787326079, 5.473361668464593, 4.3672176362129465, 2.1500313108474236, 2.4326319169960184, 2.2729615457060617, 2.383471166141756, 1.1610303744986745, 0.823151758873388, 0.479152016345755, 0.0, 5.9709256795642185, 5.270672179803304, 4.11575879436694, 3.483091123496023, 4.766942332283512, 3.1821461639884863, 2.4326319169960184, 1.5357366506053025, 2.1836088181064732, 1.8244538894881979, 1.0197315746521582, 0.5405803889564874, 0.0), # 19
(6.00654295285325, 5.996308983482929, 5.141464341116502, 5.51932230242806, 4.405593731180378, 2.168084764255032, 2.453045920552609, 2.2920123217166797, 2.40348091469324, 1.1707726824578941, 0.8300651156339153, 0.4831742951301697, 0.0, 6.021071514024495, 5.3149172464318655, 4.150325578169576, 3.5123180473736815, 4.80696182938648, 3.2088172504033516, 2.453045920552609, 1.5486319744678798, 2.202796865590189, 1.8397741008093538, 1.0282928682233006, 0.5451189984984482, 0.0), # 20
(6.046160700869921, 6.030373927154808, 5.17067226724986, 5.550682363540419, 4.432479001412036, 2.180403034393688, 2.466974955594528, 2.305011036710406, 2.4171340035735045, 1.1774201401352336, 0.8347822744837561, 0.4859187956138898, 0.0, 6.055287181606248, 5.345106751752787, 4.173911372418781, 3.5322604204057, 4.834268007147009, 3.2270154513945686, 2.466974955594528, 1.557430738852634, 2.216239500706018, 1.8502274545134736, 1.0341344534499721, 0.548215811559528, 0.0), # 21
(6.0695947456197485, 6.04778629113953, 5.185601930188644, 5.5667120775785275, 4.44729671073423, 2.186699505961729, 2.4740948199766803, 2.311655293066979, 2.424112764206383, 1.1808180127317367, 0.8371934563710342, 0.4873216494423246, 0.0, 6.0727765131292974, 5.36053814386557, 4.185967281855171, 3.5424540381952094, 4.848225528412766, 3.236317410293771, 2.4740948199766803, 1.561928218544092, 2.223648355367115, 1.8555706925261761, 1.037120386037729, 0.5497987537399573, 0.0), # 22
(6.078236018005584, 6.049847976680385, 5.187461591220852, 5.568718865740742, 4.451092822413039, 2.1875000000000004, 2.4749412006778018, 2.312373456790124, 2.4249852469135806, 1.1812188408779154, 0.8374958037161743, 0.48749487882944686, 0.0, 6.075000000000001, 5.362443667123914, 4.187479018580871, 3.5436565226337455, 4.849970493827161, 3.2373228395061737, 2.4749412006778018, 1.5625000000000002, 2.2255464112065195, 1.856239621913581, 1.0374923182441704, 0.549986179698217, 0.0), # 23
(6.084607447820493, 6.048645370370371, 5.187157407407408, 5.568471875000001, 4.453243045445941, 2.1875000000000004, 2.4744761437908505, 2.3113750000000004, 2.4248683333333334, 1.180972592592593, 0.8374624579124582, 0.4874543209876544, 0.0, 6.075000000000001, 5.361997530864198, 4.187312289562291, 3.5429177777777783, 4.849736666666667, 3.235925000000001, 2.4744761437908505, 1.5625000000000002, 2.2266215227229704, 1.8561572916666675, 1.0374314814814818, 0.5498768518518521, 0.0), # 24
(6.090844338126949, 6.046274862825789, 5.186556927297669, 5.567983217592594, 4.455345978237801, 2.1875000000000004, 2.4735596707818934, 2.3094135802469142, 2.4246373456790127, 1.180487825788752, 0.8373963399426364, 0.4873742569730225, 0.0, 6.075000000000001, 5.361116826703247, 4.186981699713182, 3.5414634773662557, 4.849274691358025, 3.23317901234568, 2.4735596707818934, 1.5625000000000002, 2.2276729891189007, 1.8559944058641984, 1.037311385459534, 0.5496613511659809, 0.0), # 25
(6.096946211428821, 6.04277266803841, 5.185668381344309, 5.567258449074075, 4.457401547368442, 2.1875000000000004, 2.472206015492617, 2.306526234567902, 2.42429524691358, 1.179772606310014, 0.8372980483850856, 0.48725578417924115, 0.0, 6.075000000000001, 5.359813625971652, 4.186490241925428, 3.5393178189300416, 4.84859049382716, 3.2291367283950625, 2.472206015492617, 1.5625000000000002, 2.228700773684221, 1.8557528163580252, 1.0371336762688619, 0.5493429698216737, 0.0), # 26
(6.102912590229983, 6.038175, 5.184500000000001, 5.566303125000001, 4.459409679417686, 2.1875000000000004, 2.4704294117647065, 2.3027500000000005, 2.423845, 1.1788350000000003, 0.8371681818181821, 0.48710000000000014, 0.0, 6.075000000000001, 5.358100000000001, 4.18584090909091, 3.536505, 4.84769, 3.223850000000001, 2.4704294117647065, 1.5625000000000002, 2.229704839708843, 1.8554343750000006, 1.0369000000000004, 0.5489250000000001, 0.0), # 27
(6.108742997034302, 6.032518072702333, 5.183060013717422, 5.565122800925927, 4.461370300965361, 2.1875000000000004, 2.4682440934398455, 2.2981219135802475, 2.4232895679012345, 1.1776830727023324, 0.837007338820302, 0.48690800182898963, 0.0, 6.075000000000001, 5.355988020118885, 4.18503669410151, 3.5330492181069966, 4.846579135802469, 3.2173706790123466, 2.4682440934398455, 1.5625000000000002, 2.2306851504826803, 1.855040933641976, 1.0366120027434846, 0.5484107338820303, 0.0), # 28
(6.114436954345651, 6.025838100137175, 5.181356652949247, 5.563723032407408, 4.463283338591289, 2.1875000000000004, 2.46566429435972, 2.2926790123456793, 2.422631913580247, 1.1763248902606314, 0.8368161179698218, 0.48668088705989954, 0.0, 6.075000000000001, 5.353489757658894, 4.184080589849109, 3.5289746707818934, 4.845263827160494, 3.209750617283951, 2.46566429435972, 1.5625000000000002, 2.2316416692956444, 1.8545743441358031, 1.0362713305898494, 0.5478034636488341, 0.0), # 29
(6.119993984667899, 6.018171296296297, 5.179398148148149, 5.562109375, 4.4651487188752945, 2.1875000000000004, 2.4627042483660135, 2.2864583333333335, 2.421875, 1.174768518518519, 0.8365951178451181, 0.4864197530864198, 0.0, 6.075000000000001, 5.350617283950617, 4.18297558922559, 3.5243055555555562, 4.84375, 3.201041666666667, 2.4627042483660135, 1.5625000000000002, 2.2325743594376473, 1.854036458333334, 1.03587962962963, 0.5471064814814817, 0.0), # 30
(6.125413610504916, 6.009553875171469, 5.177192729766805, 5.56028738425926, 4.466966368397204, 2.1875000000000004, 2.4593781893004123, 2.2794969135802474, 2.421021790123457, 1.1730220233196162, 0.8363449370245669, 0.48612569730224076, 0.0, 6.075000000000001, 5.347382670324647, 4.181724685122834, 3.519066069958848, 4.842043580246914, 3.1912956790123466, 2.4593781893004123, 1.5625000000000002, 2.233483184198602, 1.8534291280864204, 1.035438545953361, 0.5463230795610428, 0.0), # 31
(6.130695354360573, 6.000022050754459, 5.174748628257888, 5.558262615740742, 4.468736213736839, 2.1875000000000004, 2.4557003510046, 2.2718317901234575, 2.4200752469135804, 1.171093470507545, 0.8360661740865446, 0.48579981710105186, 0.0, 6.075000000000001, 5.34379798811157, 4.180330870432723, 3.5132804115226346, 4.840150493827161, 3.1805645061728405, 2.4557003510046, 1.5625000000000002, 2.2343681068684194, 1.8527542052469144, 1.0349497256515776, 0.5454565500685873, 0.0), # 32
(6.135838738738739, 5.989612037037038, 5.172074074074075, 5.5560406250000005, 4.470458181474026, 2.1875000000000004, 2.451684967320262, 2.2635000000000005, 2.4190383333333334, 1.1689909259259263, 0.8357594276094278, 0.4854432098765433, 0.0, 6.075000000000001, 5.339875308641975, 4.1787971380471385, 3.5069727777777784, 4.838076666666667, 3.1689000000000007, 2.451684967320262, 1.5625000000000002, 2.235229090737013, 1.8520135416666672, 1.0344148148148151, 0.5445101851851853, 0.0), # 33
(6.140843286143286, 5.978360048010974, 5.169177297668039, 5.553626967592594, 4.472132198188587, 2.1875000000000004, 2.4473462720890833, 2.254538580246914, 2.4179140123456797, 1.1667224554183817, 0.8354252961715926, 0.48505697302240525, 0.0, 6.075000000000001, 5.335626703246457, 4.177126480857963, 3.5001673662551447, 4.835828024691359, 3.1563540123456795, 2.4473462720890833, 1.5625000000000002, 2.2360660990942933, 1.8512089891975316, 1.033835459533608, 0.5434872770919068, 0.0), # 34
(6.145708519078085, 5.966302297668039, 5.166066529492457, 5.551027199074074, 4.473758190460348, 2.1875000000000004, 2.442698499152748, 2.244984567901235, 2.4167052469135806, 1.1642961248285326, 0.8350643783514156, 0.48464220393232754, 0.0, 6.075000000000001, 5.331064243255602, 4.175321891757077, 3.492888374485597, 4.833410493827161, 3.142978395061729, 2.442698499152748, 1.5625000000000002, 2.236879095230174, 1.8503423996913586, 1.0332133058984916, 0.5423911179698219, 0.0), # 35
(6.150433960047004, 5.953475, 5.162750000000001, 5.548246875, 4.475336084869134, 2.1875000000000004, 2.4377558823529415, 2.2348750000000006, 2.415415, 1.1617200000000003, 0.834677272727273, 0.4842000000000002, 0.0, 6.075000000000001, 5.326200000000001, 4.173386363636364, 3.4851600000000005, 4.83083, 3.128825000000001, 2.4377558823529415, 1.5625000000000002, 2.237668042434567, 1.8494156250000007, 1.0325500000000003, 0.5412250000000001, 0.0), # 36
(6.155019131553915, 5.939914368998629, 5.159235939643348, 5.545291550925926, 4.476865807994769, 2.1875000000000004, 2.4325326555313485, 2.2242469135802474, 2.4140462345679015, 1.1590021467764065, 0.8342645778775412, 0.4837314586191131, 0.0, 6.075000000000001, 5.3210460448102435, 4.171322889387706, 3.4770064403292187, 4.828092469135803, 3.113945679012346, 2.4325326555313485, 1.5625000000000002, 2.2384329039973845, 1.8484305169753092, 1.0318471879286697, 0.5399922153635118, 0.0), # 37
(6.159463556102686, 5.925656618655693, 5.155532578875172, 5.542166782407408, 4.478347286417076, 2.1875000000000004, 2.4270430525296542, 2.213137345679013, 2.412601913580247, 1.1561506310013723, 0.8338268923805964, 0.4832376771833564, 0.0, 6.075000000000001, 5.31561444901692, 4.169134461902981, 3.468451893004116, 4.825203827160494, 3.0983922839506186, 2.4270430525296542, 1.5625000000000002, 2.239173643208538, 1.8473889274691366, 1.0311065157750345, 0.5386960562414268, 0.0), # 38
(6.163766756197193, 5.910737962962964, 5.1516481481481495, 5.538878125000001, 4.479780446715882, 2.1875000000000004, 2.421301307189543, 2.2015833333333337, 2.4110850000000004, 1.153173518518519, 0.833364814814815, 0.48271975308641984, 0.0, 6.075000000000001, 5.309917283950617, 4.166824074074075, 3.4595205555555566, 4.822170000000001, 3.082216666666667, 2.421301307189543, 1.5625000000000002, 2.239890223357941, 1.846292708333334, 1.03032962962963, 0.537339814814815, 0.0), # 39
(6.167928254341299, 5.895194615912209, 5.147590877914952, 5.53543113425926, 4.481165215471008, 2.1875000000000004, 2.4153216533526995, 2.1896219135802477, 2.4094984567901236, 1.1500788751714683, 0.8328789437585736, 0.4821787837219938, 0.0, 6.075000000000001, 5.303966620941931, 4.164394718792868, 3.450236625514404, 4.818996913580247, 3.0654706790123467, 2.4153216533526995, 1.5625000000000002, 2.240582607735504, 1.8451437114197538, 1.0295181755829905, 0.5359267832647464, 0.0), # 40
(6.171947573038878, 5.879062791495199, 5.143368998628259, 5.531831365740741, 4.482501519262281, 2.1875000000000004, 2.409118324860809, 2.1772901234567907, 2.4078452469135803, 1.1468747668038413, 0.8323698777902485, 0.4816158664837678, 0.0, 6.075000000000001, 5.297774531321445, 4.161849388951242, 3.440624300411523, 4.8156904938271605, 3.048206172839507, 2.409118324860809, 1.5625000000000002, 2.2412507596311406, 1.8439437885802477, 1.0286737997256519, 0.534460253772291, 0.0), # 41
(6.175824234793801, 5.862378703703705, 5.138990740740742, 5.5280843750000015, 4.483789284669523, 2.1875000000000004, 2.402705555555556, 2.1646250000000005, 2.4061283333333336, 1.1435692592592597, 0.8318382154882157, 0.48103209876543224, 0.0, 6.075000000000001, 5.291353086419754, 4.159191077441078, 3.430707777777778, 4.812256666666667, 3.030475000000001, 2.402705555555556, 1.5625000000000002, 2.2418946423347617, 1.8426947916666676, 1.0277981481481486, 0.5329435185185187, 0.0), # 42
(6.179557762109936, 5.845178566529493, 5.1344643347050765, 5.524195717592594, 4.485028438272561, 2.1875000000000004, 2.396097579278625, 2.151663580246914, 2.404350679012346, 1.1401704183813448, 0.8312845554308519, 0.48042857796067695, 0.0, 6.075000000000001, 5.284714357567445, 4.156422777154259, 3.4205112551440338, 4.808701358024692, 3.01232901234568, 2.396097579278625, 1.5625000000000002, 2.2425142191362806, 1.841398572530865, 1.0268928669410153, 0.5313798696844995, 0.0), # 43
(6.183147677491157, 5.827498593964336, 5.129798010973938, 5.520170949074076, 4.486218906651218, 2.1875000000000004, 2.389308629871702, 2.1384429012345687, 2.4025152469135804, 1.136686310013718, 0.8307094961965334, 0.47980640146319176, 0.0, 6.075000000000001, 5.277870416095109, 4.153547480982667, 3.410058930041153, 4.805030493827161, 2.993820061728396, 2.389308629871702, 1.5625000000000002, 2.243109453325609, 1.8400569830246922, 1.0259596021947879, 0.5297725994513033, 0.0), # 44
(6.186593503441331, 5.809375000000001, 5.125000000000001, 5.5160156250000005, 4.487360616385319, 2.1875000000000004, 2.382352941176471, 2.1250000000000004, 2.400625, 1.1331250000000004, 0.8301136363636366, 0.47916666666666674, 0.0, 6.075000000000001, 5.270833333333333, 4.1505681818181825, 3.3993750000000005, 4.80125, 2.9750000000000005, 2.382352941176471, 1.5625000000000002, 2.2436803081926593, 1.8386718750000006, 1.0250000000000004, 0.5281250000000002, 0.0), # 45
(6.18989476246433, 5.790843998628259, 5.12007853223594, 5.511735300925927, 4.488453494054687, 2.1875000000000004, 2.3752447470346167, 2.1113719135802476, 2.398682901234568, 1.1294945541838137, 0.8294975745105375, 0.4785104709647921, 0.0, 6.075000000000001, 5.263615180612712, 4.147487872552688, 3.3884836625514403, 4.797365802469136, 2.9559206790123467, 2.3752447470346167, 1.5625000000000002, 2.2442267470273434, 1.8372451003086427, 1.0240157064471882, 0.52644036351166, 0.0), # 46
(6.193050977064022, 5.771941803840877, 5.115041838134432, 5.507335532407408, 4.489497466239147, 2.1875000000000004, 2.367998281287824, 2.097595679012346, 2.396691913580247, 1.1258030384087796, 0.8288619092156131, 0.4778389117512576, 0.0, 6.075000000000001, 5.256228029263832, 4.144309546078065, 3.377409115226338, 4.793383827160494, 2.9366339506172845, 2.367998281287824, 1.5625000000000002, 2.2447487331195735, 1.8357785108024698, 1.0230083676268864, 0.5247219821673527, 0.0), # 47
(6.196061669744278, 5.752704629629631, 5.109898148148149, 5.502821875000001, 4.490492459518524, 2.1875000000000004, 2.360627777777778, 2.083708333333334, 2.394655, 1.1220585185185188, 0.8282072390572391, 0.4771530864197532, 0.0, 6.075000000000001, 5.248683950617284, 4.141036195286196, 3.3661755555555555, 4.78931, 2.9171916666666675, 2.360627777777778, 1.5625000000000002, 2.245246229759262, 1.8342739583333343, 1.02197962962963, 0.5229731481481483, 0.0), # 48
(6.198926363008972, 5.733168689986282, 5.104655692729768, 5.49819988425926, 4.491438400472643, 2.1875000000000004, 2.3531474703461632, 2.0697469135802473, 2.3925751234567905, 1.1182690603566534, 0.8275341626137924, 0.4764540923639691, 0.0, 6.075000000000001, 5.240995016003659, 4.137670813068962, 3.3548071810699596, 4.785150246913581, 2.897645679012346, 2.3531474703461632, 1.5625000000000002, 2.2457192002363215, 1.8327332947530872, 1.0209311385459536, 0.5211971536351167, 0.0), # 49
(6.201644579361971, 5.7133701989026076, 5.099322702331963, 5.4934751157407415, 4.492335215681326, 2.1875000000000004, 2.3455715928346654, 2.055748456790124, 2.3904552469135805, 1.1144427297668043, 0.826843278463649, 0.4757430269775951, 0.0, 6.075000000000001, 5.233173296753545, 4.134216392318245, 3.3433281893004123, 4.780910493827161, 2.8780478395061735, 2.3455715928346654, 1.5625000000000002, 2.246167607840663, 1.8311583719135809, 1.0198645404663929, 0.5193972908093281, 0.0), # 50
(6.204215841307147, 5.693345370370371, 5.093907407407408, 5.488653125000001, 4.4931828317244, 2.1875000000000004, 2.3379143790849675, 2.0417500000000004, 2.3882983333333336, 1.110587592592593, 0.8261351851851855, 0.4750209876543212, 0.0, 6.075000000000001, 5.225230864197532, 4.130675925925927, 3.3317627777777785, 4.776596666666667, 2.858450000000001, 2.3379143790849675, 1.5625000000000002, 2.2465914158622, 1.8295510416666674, 1.0187814814814817, 0.517576851851852, 0.0), # 51
(6.206639671348368, 5.673130418381346, 5.08841803840878, 5.483739467592593, 4.493981175181686, 2.1875000000000004, 2.330190062938756, 2.0277885802469138, 2.3861073456790125, 1.106711714677641, 0.8254104813567779, 0.4742890717878374, 0.0, 6.075000000000001, 5.21717978966621, 4.127052406783889, 3.3201351440329225, 4.772214691358025, 2.838904012345679, 2.330190062938756, 1.5625000000000002, 2.246990587590843, 1.8279131558641981, 1.0176836076817561, 0.5157391289437588, 0.0), # 52
(6.2089155919895065, 5.652761556927298, 5.082862825788753, 5.478739699074074, 4.494730172633012, 2.1875000000000004, 2.3224128782377154, 2.0139012345679017, 2.3838852469135805, 1.1028231618655697, 0.8246697655568027, 0.47354837677183365, 0.0, 6.075000000000001, 5.20903214449017, 4.123348827784014, 3.3084694855967083, 4.767770493827161, 2.8194617283950625, 2.3224128782377154, 1.5625000000000002, 2.247365086316506, 1.8262465663580252, 1.0165725651577509, 0.5138874142661182, 0.0), # 53
(6.211043125734431, 5.632275000000001, 5.07725, 5.473659375, 4.495429750658201, 2.1875000000000004, 2.3145970588235296, 2.000125, 2.381635, 1.0989300000000004, 0.8239136363636363, 0.4728000000000001, 0.0, 6.075000000000001, 5.2008, 4.119568181818182, 3.2967900000000006, 4.76327, 2.8001750000000003, 2.3145970588235296, 1.5625000000000002, 2.2477148753291005, 1.8245531250000007, 1.0154500000000002, 0.5120250000000002, 0.0), # 54
(6.213021795087014, 5.611706961591222, 5.0715877914952, 5.468504050925926, 4.496079835837076, 2.1875000000000004, 2.3067568385378845, 1.9864969135802473, 2.3793595679012345, 1.0950402949245546, 0.8231426923556555, 0.47204503886602667, 0.0, 6.075000000000001, 5.192495427526293, 4.115713461778277, 3.2851208847736633, 4.758719135802469, 2.7810956790123464, 2.3067568385378845, 1.5625000000000002, 2.248039917918538, 1.8228346836419758, 1.0143175582990402, 0.5101551783264747, 0.0), # 55
(6.214851122551123, 5.59109365569273, 5.065884430727024, 5.463279282407408, 4.496680354749464, 2.1875000000000004, 2.298906451222465, 1.9730540123456795, 2.3770619135802473, 1.0911621124828537, 0.822357532111236, 0.47128459076360324, 0.0, 6.075000000000001, 5.184130498399635, 4.11178766055618, 3.2734863374485603, 4.754123827160495, 2.7622756172839513, 2.298906451222465, 1.5625000000000002, 2.248340177374732, 1.821093094135803, 1.013176886145405, 0.5082812414266119, 0.0), # 56
(6.21653063063063, 5.570471296296297, 5.06014814814815, 5.457990625000001, 4.497231233975187, 2.1875000000000004, 2.2910601307189546, 1.959833333333334, 2.3747450000000003, 1.087303518518519, 0.8215587542087543, 0.47051975308641986, 0.0, 6.075000000000001, 5.175717283950617, 4.107793771043772, 3.261910555555556, 4.749490000000001, 2.7437666666666676, 2.2910601307189546, 1.5625000000000002, 2.2486156169875935, 1.819330208333334, 1.01202962962963, 0.5064064814814816, 0.0), # 57
(6.218059841829408, 5.549876097393691, 5.054387174211249, 5.4526436342592595, 4.49773240009407, 2.1875000000000004, 2.283232110869039, 1.946871913580247, 2.372411790123457, 1.083472578875172, 0.8207469572265872, 0.46975162322816655, 0.0, 6.075000000000001, 5.167267855509832, 4.103734786132936, 3.2504177366255154, 4.744823580246914, 2.725620679012346, 2.283232110869039, 1.5625000000000002, 2.248866200047035, 1.8175478780864203, 1.01087743484225, 0.5045341906721538, 0.0), # 58
(6.219438278651324, 5.529344272976681, 5.048609739369, 5.447243865740742, 4.498183779685938, 2.1875000000000004, 2.275436625514404, 1.9342067901234572, 2.3700652469135806, 1.079677359396434, 0.8199227397431101, 0.4689812985825333, 0.0, 6.075000000000001, 5.158794284407866, 4.099613698715551, 3.239032078189301, 4.740130493827161, 2.7078895061728403, 2.275436625514404, 1.5625000000000002, 2.249091889842969, 1.8157479552469142, 1.0097219478738, 0.5026676611796984, 0.0), # 59
(6.220665463600247, 5.508912037037038, 5.042824074074074, 5.4417968750000005, 4.498585299330615, 2.1875000000000004, 2.267687908496732, 1.9218750000000004, 2.3677083333333337, 1.0759259259259264, 0.8190867003367005, 0.46820987654321, 0.0, 6.075000000000001, 5.150308641975309, 4.095433501683503, 3.2277777777777787, 4.7354166666666675, 2.6906250000000007, 2.267687908496732, 1.5625000000000002, 2.2492926496653074, 1.8139322916666674, 1.008564814814815, 0.5008101851851854, 0.0), # 60
(6.22174091918005, 5.48861560356653, 5.037038408779151, 5.436308217592593, 4.498936885607925, 2.1875000000000004, 2.26000019365771, 1.909913580246914, 2.365344012345679, 1.0722263443072706, 0.8182394375857341, 0.46743845450388677, 0.0, 6.075000000000001, 5.141822999542754, 4.09119718792867, 3.216679032921811, 4.730688024691358, 2.67387901234568, 2.26000019365771, 1.5625000000000002, 2.2494684428039626, 1.8121027391975315, 1.0074076817558304, 0.4989650548696847, 0.0), # 61
(6.222664167894603, 5.4684911865569275, 5.031260973936901, 5.430783449074076, 4.499238465097694, 2.1875000000000004, 2.2523877148390223, 1.8983595679012348, 2.3629752469135803, 1.0685866803840882, 0.8173815500685874, 0.46666812985825346, 0.0, 6.075000000000001, 5.133349428440788, 4.086907750342936, 3.205760041152264, 4.725950493827161, 2.657703395061729, 2.2523877148390223, 1.5625000000000002, 2.249619232548847, 1.810261149691359, 1.0062521947873804, 0.4971355624142662, 0.0), # 62
(6.223434732247776, 5.448575, 5.025500000000001, 5.425228125000002, 4.499489964379743, 2.1875000000000004, 2.244864705882353, 1.8872500000000003, 2.360605, 1.0650150000000003, 0.8165136363636366, 0.4659000000000001, 0.0, 6.075000000000001, 5.1249, 4.082568181818183, 3.1950450000000004, 4.72121, 2.6421500000000004, 2.244864705882353, 1.5625000000000002, 2.2497449821898714, 1.808409375000001, 1.0051000000000003, 0.49532500000000007, 0.0), # 63
(6.224052134743439, 5.428903257887518, 5.019763717421125, 5.419647800925927, 4.499691310033899, 2.1875000000000004, 2.237445400629388, 1.8766219135802475, 2.3582362345679013, 1.0615193689986286, 0.815636295049258, 0.4651351623228168, 0.0, 6.075000000000001, 5.116486785550984, 4.07818147524629, 3.184558106995885, 4.716472469135803, 2.6272706790123466, 2.237445400629388, 1.5625000000000002, 2.2498456550169497, 1.8065492669753094, 1.0039527434842253, 0.49353665980795625, 0.0), # 64
(6.224515897885464, 5.409512174211248, 5.0140603566529505, 5.414048032407408, 4.499842428639987, 2.1875000000000004, 2.230144032921811, 1.8665123456790127, 2.355871913580247, 1.0581078532235944, 0.8147501247038288, 0.46437471422039334, 0.0, 6.075000000000001, 5.108121856424326, 4.073750623519143, 3.1743235596707824, 4.711743827160494, 2.613117283950618, 2.230144032921811, 1.5625000000000002, 2.2499212143199934, 1.8046826774691365, 1.0028120713305901, 0.49177383401920444, 0.0), # 65
(6.224825544177719, 5.390437962962965, 5.008398148148149, 5.408434375000001, 4.499943246777829, 2.1875000000000004, 2.2229748366013076, 1.856958333333334, 2.3535150000000002, 1.0547885185185188, 0.8138557239057241, 0.46361975308641995, 0.0, 6.075000000000001, 5.099817283950618, 4.06927861952862, 3.164365555555556, 4.7070300000000005, 2.5997416666666675, 2.2229748366013076, 1.5625000000000002, 2.2499716233889147, 1.8028114583333341, 1.00167962962963, 0.49003981481481507, 0.0), # 66
(6.224980596124076, 5.371716838134431, 5.002785322359397, 5.40281238425926, 4.499993691027252, 2.1875000000000004, 2.215952045509562, 1.8479969135802476, 2.3511684567901234, 1.0515694307270238, 0.8129536912333212, 0.46287137631458625, 0.0, 6.075000000000001, 5.091585139460448, 4.064768456166606, 3.1547082921810707, 4.702336913580247, 2.5871956790123467, 2.215952045509562, 1.5625000000000002, 2.249996845513626, 1.8009374614197537, 1.0005570644718795, 0.48833789437585745, 0.0), # 67
(6.224874968688496, 5.353286751626178, 4.997202974965707, 5.3971387832125615, 4.499951182118938, 2.1874594040542603, 2.2090545584488943, 1.8395859625057158, 2.3488175697302243, 1.0484430662470754, 0.8120285988540378, 0.4621265010949873, 0.0, 6.074925090020577, 5.08339151204486, 4.060142994270189, 3.1453291987412255, 4.6976351394604485, 2.575420347508002, 2.2090545584488943, 1.5624710028959001, 2.249975591059469, 1.7990462610708544, 0.9994405949931414, 0.4866624319660163, 0.0), # 68
(6.2238850241545896, 5.334585035842295, 4.991494212962963, 5.39112758152174, 4.499564270152505, 2.187138477366256, 2.2020804544039843, 1.8312746913580251, 2.346359567901235, 1.0453209586056647, 0.8109862838915471, 0.4613609486679664, 0.0, 6.074331597222224, 5.0749704353476295, 4.054931419457736, 3.1359628758169933, 4.69271913580247, 2.5637845679012354, 2.2020804544039843, 1.5622417695473254, 2.2497821350762526, 1.7970425271739137, 0.9982988425925927, 0.4849622759856632, 0.0), # 69
(6.221931472535338, 5.315525852913846, 4.985634216392318, 5.384739205917875, 4.498799725651577, 2.186506439567139, 2.1949980403684113, 1.8229881115683588, 2.3437805784179244, 1.0421879286694105, 0.8098148886526081, 0.46057113806464056, 0.0, 6.073159400720166, 5.066282518711046, 4.049074443263041, 3.126563786008231, 4.687561156835849, 2.5521833561957026, 2.1949980403684113, 1.5617903139765281, 2.2493998628257885, 1.7949130686392922, 0.9971268432784638, 0.4832296229921679, 0.0), # 70
(6.219041796385758, 5.296120592725343, 4.9796250428669415, 5.377983076690823, 4.497667231501655, 2.185573532998019, 2.1878104978616966, 1.8147289666209425, 2.3410844421582078, 1.0390440539013963, 0.8085187370783864, 0.4597576468606359, 0.0, 6.07142393261317, 5.057334115466994, 4.042593685391932, 3.1171321617041885, 4.6821688843164155, 2.54062055326932, 2.1878104978616966, 1.561123952141442, 2.2488336157508275, 1.792661025563608, 0.9959250085733884, 0.4814655084295767, 0.0), # 71
(6.215243478260871, 5.27638064516129, 4.97346875, 5.370868614130435, 4.496176470588235, 2.1843500000000007, 2.1805210084033617, 1.8065000000000002, 2.3382750000000003, 1.0358894117647062, 0.8071021531100481, 0.45892105263157906, 0.0, 6.069140625000001, 5.048131578947369, 4.0355107655502405, 3.107668235294118, 4.676550000000001, 2.5291000000000006, 2.1805210084033617, 1.5602500000000006, 2.2480882352941176, 1.790289538043479, 0.9946937500000002, 0.47967096774193557, 0.0), # 72
(6.210564000715693, 5.2563174001062, 4.9671673954046645, 5.363405238526571, 4.494337125796821, 2.18284608291419, 2.173132753512928, 1.7983039551897582, 2.3353560928212165, 1.0327240797224242, 0.805569460688759, 0.45806193295309605, 0.0, 6.066324909979425, 5.038681262484056, 4.027847303443795, 3.0981722391672717, 4.670712185642433, 2.5176255372656615, 2.173132753512928, 1.5591757735101357, 2.2471685628984104, 1.787801746175524, 0.9934334790809329, 0.47784703637329096, 0.0), # 73
(6.2050308463052435, 5.235942247444578, 4.960723036694102, 5.355602370169082, 4.49215888001291, 2.1810720240816956, 2.165648914709917, 1.79014357567444, 2.3323315614997715, 1.0295481352376346, 0.8039249837556858, 0.4571808654008135, 0.0, 6.062992219650208, 5.028989519408948, 4.019624918778429, 3.0886444057129028, 4.664663122999543, 2.506201005944216, 2.165648914709917, 1.5579085886297825, 2.246079440006455, 1.7852007900563613, 0.9921446073388204, 0.47599474976768896, 0.0), # 74
(6.198671497584542, 5.215266577060932, 4.954137731481482, 5.347469429347827, 4.489651416122005, 2.179038065843622, 2.1580726735138502, 1.782021604938272, 2.32920524691358, 1.0263616557734208, 0.8021730462519937, 0.4562784275503575, 0.0, 6.059157986111113, 5.019062703053931, 4.010865231259968, 3.0790849673202616, 4.65841049382716, 2.494830246913581, 2.1580726735138502, 1.5564557613168728, 2.2448257080610023, 1.7824898097826094, 0.9908275462962965, 0.4741151433691757, 0.0), # 75
(6.191513437108607, 5.194301778839773, 4.9474135373799735, 5.339015836352658, 4.486824417009602, 2.1767544505410767, 2.1504072114442487, 1.7739407864654781, 2.325980989940558, 1.0231647187928672, 0.8003179721188494, 0.4553551969773542, 0.0, 6.054837641460906, 5.0089071667508955, 4.001589860594247, 3.069494156378601, 4.651961979881116, 2.4835171010516697, 2.1504072114442487, 1.5548246075293404, 2.243412208504801, 1.7796719454508865, 0.9894827074759949, 0.47220925262179764, 0.0), # 76
(6.183584147432457, 5.173059242665606, 4.940552512002744, 5.33025101147343, 4.483687565561204, 2.1742314205151656, 2.1426557100206343, 1.765903863740284, 2.3226626314586194, 1.019957401759058, 0.7983640852974189, 0.45441175125743044, 0.0, 6.050046617798356, 4.998529263831734, 3.991820426487094, 3.0598722052771734, 4.645325262917239, 2.472265409236398, 2.1426557100206343, 1.5530224432251183, 2.241843782780602, 1.7767503371578104, 0.9881105024005488, 0.4702781129696006, 0.0), # 77
(6.174911111111112, 5.1515503584229405, 4.933556712962964, 5.321184375000001, 4.48025054466231, 2.171479218106996, 2.134821350762528, 1.7579135802469141, 2.319254012345679, 1.0167397821350765, 0.7963157097288678, 0.453448667966212, 0.0, 6.044800347222224, 4.987935347628332, 3.9815785486443387, 3.050219346405229, 4.638508024691358, 2.46107901234568, 2.134821350762528, 1.5510565843621402, 2.240125272331155, 1.7737281250000008, 0.9867113425925927, 0.4683227598566311, 0.0), # 78
(6.165521810699589, 5.129786515996284, 4.9264281978738005, 5.311825347222223, 4.476523037198419, 2.1685080856576744, 2.1269073151894506, 1.7499726794695933, 2.3157589734796526, 1.0135119373840074, 0.7941771693543623, 0.45246652467932535, 0.0, 6.039114261831276, 4.977131771472578, 3.970885846771812, 3.0405358121520214, 4.631517946959305, 2.4499617512574305, 2.1269073151894506, 1.5489343468983388, 2.2382615185992094, 1.7706084490740748, 0.9852856395747601, 0.46634422872693504, 0.0), # 79
(6.155443728752909, 5.107779105270145, 4.919169024348423, 5.302183348429953, 4.4725147260550315, 2.165328265508307, 2.1189167848209247, 1.7420839048925472, 2.3121813557384545, 1.0102739449689344, 0.7919527881150691, 0.45146589897239686, 0.0, 6.033003793724281, 4.966124888696365, 3.959763940575345, 3.030821834906803, 4.624362711476909, 2.438917466849566, 2.1189167848209247, 1.5466630467916478, 2.2362573630275158, 1.7673944494766514, 0.9838338048696846, 0.46434355502455876, 0.0), # 80
(6.144704347826088, 5.0855395161290335, 4.911781250000001, 5.292267798913045, 4.4682352941176475, 2.1619500000000005, 2.110852941176471, 1.7342500000000003, 2.308525, 1.0070258823529417, 0.7896468899521534, 0.4504473684210528, 0.0, 6.026484375, 4.95492105263158, 3.9482344497607667, 3.0210776470588243, 4.61705, 2.4279500000000005, 2.110852941176471, 1.5442500000000001, 2.2341176470588238, 1.7640892663043488, 0.9823562500000002, 0.4623217741935486, 0.0), # 81
(6.133331150474146, 5.0630791384574545, 4.904266932441702, 5.2820881189613536, 4.463694424271766, 2.1583835314738615, 2.1027189657756113, 1.7264737082761776, 2.304793747142204, 1.0037678269991126, 0.7872637988067815, 0.44941151060091944, 0.0, 6.019571437757203, 4.9435266166101135, 3.936318994033907, 3.011303480997337, 4.609587494284408, 2.417063191586649, 2.1027189657756113, 1.5417025224813294, 2.231847212135883, 1.760696039653785, 0.9808533864883406, 0.4602799216779505, 0.0), # 82
(6.121351619252104, 5.040409362139918, 4.896628129286695, 5.2716537288647345, 4.458901799402889, 2.1546391022709956, 2.0945180401378662, 1.7187577732053043, 2.3009914380429812, 1.000499856370532, 0.7848078386201196, 0.4483589030876232, 0.0, 6.0122804140946515, 4.931947933963855, 3.924039193100598, 3.0014995691115955, 4.6019828760859625, 2.4062608824874263, 2.0945180401378662, 1.5390279301935683, 2.2294508997014444, 1.7572179096215788, 0.9793256258573391, 0.4582190329218108, 0.0), # 83
(6.108793236714976, 5.017541577060933, 4.888866898148149, 5.260974048913045, 4.453867102396515, 2.1507269547325105, 2.0862533457827577, 1.7111049382716053, 2.2971219135802468, 0.9972220479302837, 0.7822833333333336, 0.4472901234567902, 0.0, 6.004626736111112, 4.920191358024692, 3.911416666666667, 2.9916661437908503, 4.5942438271604935, 2.3955469135802474, 2.0862533457827577, 1.5362335390946504, 2.2269335511982575, 1.7536580163043487, 0.97777337962963, 0.45614014336917574, 0.0), # 84
(6.095683485417786, 4.994487173105005, 4.880985296639232, 5.250058499396136, 4.448600016138143, 2.146657331199513, 2.0779280642298072, 1.7035179469593054, 2.2931890146319156, 0.9939344791414512, 0.7796946068875895, 0.446205749284047, 0.0, 5.996625835905351, 4.908263242124516, 3.8984730344379477, 2.981803437424353, 4.586378029263831, 2.3849251257430275, 2.0779280642298072, 1.533326665142509, 2.2243000080690716, 1.7500194997987126, 0.9761970593278466, 0.45404428846409145, 0.0), # 85
(6.082049847915549, 4.971257540156645, 4.872985382373115, 5.2389165006038665, 4.443110223513274, 2.1424404740131084, 2.069545376998536, 1.6959995427526295, 2.2891965820759035, 0.990637227467119, 0.7770459832240536, 0.44510635814501975, 0.0, 5.988293145576132, 4.896169939595216, 3.8852299161202675, 2.9719116824013563, 4.578393164151807, 2.3743993598536814, 2.069545376998536, 1.5303146242950774, 2.221555111756637, 1.7463055002012893, 0.9745970764746232, 0.45193250365060417, 0.0), # 86
(6.067919806763285, 4.947864068100359, 4.864869212962963, 5.227557472826088, 4.437407407407409, 2.1380866255144033, 2.061108465608466, 1.6885524691358027, 2.285148456790124, 0.9873303703703706, 0.7743417862838917, 0.44399252761533475, 0.0, 5.979644097222223, 4.883917803768681, 3.8717089314194584, 2.9619911111111112, 4.570296913580248, 2.363973456790124, 2.061108465608466, 1.5272047325102882, 2.2187037037037043, 1.7425191576086962, 0.9729738425925928, 0.44980582437275995, 0.0), # 87
(6.053320844516015, 4.924318146820656, 4.856638846021949, 5.215990836352658, 4.431501250706044, 2.1336060280445057, 2.0526205115791174, 1.6811794695930502, 2.281048479652492, 0.9840139853142905, 0.77158634000827, 0.4428648352706184, 0.0, 5.970694122942389, 4.871513187976801, 3.85793170004135, 2.952041955942871, 4.562096959304984, 2.35365125743027, 2.0526205115791174, 1.5240043057460755, 2.215750625353022, 1.7386636121175532, 0.9713277692043898, 0.44766528607460515, 0.0), # 88
(6.0382804437287545, 4.900631166202045, 4.848296339163238, 5.2042260114734304, 4.425401436294683, 2.129008923944521, 2.0440846964300126, 1.6738832876085967, 2.276900491540924, 0.9806881497619627, 0.7687839683383546, 0.4417238586864969, 0.0, 5.961458654835392, 4.858962445551465, 3.843919841691773, 2.9420644492858874, 4.553800983081848, 2.3434366026520355, 2.0440846964300126, 1.5207206599603722, 2.2127007181473415, 1.7347420038244774, 0.9696592678326478, 0.445511924200186, 0.0), # 89
(6.022826086956522, 4.876814516129033, 4.839843750000001, 5.192272418478262, 4.419117647058824, 2.1243055555555563, 2.0355042016806726, 1.6666666666666667, 2.272708333333334, 0.977352941176471, 0.7659389952153112, 0.44057017543859656, 0.0, 5.951953125000001, 4.846271929824561, 3.829694976076556, 2.9320588235294123, 4.545416666666668, 2.3333333333333335, 2.0355042016806726, 1.5173611111111116, 2.209558823529412, 1.7307574728260877, 0.9679687500000003, 0.4433467741935485, 0.0), # 90
(6.006985256754339, 4.852879586486127, 4.831283136145405, 5.180139477657006, 4.412659565883967, 2.119506165218717, 2.0268822088506186, 1.6595323502514865, 2.2684758459076364, 0.9740084370208992, 0.7630557445803061, 0.4394043631025438, 0.0, 5.942192965534979, 4.833447994127981, 3.8152787229015304, 2.922025311062697, 4.536951691815273, 2.3233452903520813, 2.0268822088506186, 1.5139329751562263, 2.2063297829419835, 1.7267131592190026, 0.9662566272290811, 0.4411708714987389, 0.0), # 91
(5.990785435677224, 4.8288377671578395, 4.822616555212621, 5.167836609299518, 4.406036875655612, 2.114620995275111, 2.018221899459373, 1.65248308184728, 2.264206870141747, 0.9706547147583318, 0.7601385403745055, 0.43822699925396497, 0.0, 5.932193608539095, 4.820496991793614, 3.8006927018725274, 2.911964144274995, 4.528413740283494, 2.313476314586192, 2.018221899459373, 1.5104435680536508, 2.203018437827806, 1.7226122030998396, 0.9645233110425242, 0.43898525155980367, 0.0), # 92
(5.974254106280194, 4.804700448028675, 4.813846064814816, 5.155373233695654, 4.39925925925926, 2.109660288065844, 2.0095264550264553, 1.6455216049382722, 2.2599052469135805, 0.9672918518518521, 0.7571917065390752, 0.43703866146848613, 0.0, 5.921970486111111, 4.807425276153347, 3.7859585326953757, 2.9018755555555558, 4.519810493827161, 2.303730246913581, 2.0095264550264553, 1.506900205761317, 2.19962962962963, 1.7184577445652183, 0.9627692129629631, 0.4367909498207887, 0.0), # 93
(5.957418751118269, 4.780479018983141, 4.804973722565159, 5.1427587711352665, 4.392336399580408, 2.104634285932023, 2.0007990570713887, 1.6386506630086881, 2.255574817101052, 0.9639199257645449, 0.7542195670151812, 0.4358399273217338, 0.0, 5.911539030349795, 4.794239200539072, 3.771097835075906, 2.891759777293634, 4.511149634202104, 2.2941109282121634, 2.0007990570713887, 1.503310204237159, 2.196168199790204, 1.714252923711756, 0.960994744513032, 0.43458900172574016, 0.0), # 94
(5.940306852746467, 4.7561848699057485, 4.796001586076819, 5.130002641908213, 4.3852779795045596, 2.0995532312147542, 1.9920428871136935, 1.631872999542753, 2.251219421582076, 0.9605390139594935, 0.7512264457439898, 0.4346313743893341, 0.0, 5.900914673353911, 4.780945118282674, 3.7561322287199483, 2.8816170418784797, 4.502438843164152, 2.284622199359854, 1.9920428871136935, 1.49968087943911, 2.1926389897522798, 1.7100008806360716, 0.9592003172153638, 0.43238044271870446, 0.0), # 95
(5.922945893719809, 4.731829390681005, 4.786931712962964, 5.117114266304348, 4.378093681917211, 2.094427366255144, 1.9832611266728915, 1.625191358024692, 2.246842901234568, 0.9571491938997825, 0.7482166666666669, 0.43341358024691373, 0.0, 5.890112847222223, 4.767549382716051, 3.7410833333333344, 2.8714475816993468, 4.493685802469136, 2.2752679012345687, 1.9832611266728915, 1.496019547325103, 2.1890468409586057, 1.7057047554347833, 0.957386342592593, 0.4301663082437278, 0.0), # 96
(5.90536335659331, 4.707423971193417, 4.777766160836763, 5.104103064613527, 4.370793189703866, 2.0892669333943, 1.9744569572685042, 1.6186084819387292, 2.242449096936443, 0.9537505430484955, 0.7451945537243784, 0.4321871224700986, 0.0, 5.8791489840535, 4.7540583471710836, 3.725972768621892, 2.8612516291454857, 4.484898193872886, 2.266051874714221, 1.9744569572685042, 1.4923335238530713, 2.185396594851933, 1.7013676882045095, 0.9555532321673527, 0.4279476337448561, 0.0), # 97
(5.8875867239219914, 4.682980001327493, 4.768506987311386, 5.090978457125605, 4.363386185750021, 2.084082174973328, 1.965633560420053, 1.6121271147690905, 2.238041849565615, 0.9503431388687166, 0.7421644308582908, 0.430952578634515, 0.0, 5.868038515946503, 4.740478364979665, 3.7108221542914532, 2.851029416606149, 4.47608369913123, 2.2569779606767266, 1.965633560420053, 1.4886301249809484, 2.1816930928750105, 1.6969928190418688, 0.9537013974622772, 0.4257254546661358, 0.0), # 98
(5.86964347826087, 4.658508870967743, 4.759156250000001, 5.0777498641304355, 4.355882352941177, 2.0788833333333336, 1.9567941176470594, 1.6057500000000002, 2.233625, 0.9469270588235297, 0.7391306220095696, 0.42971052631578954, 0.0, 5.8567968750000015, 4.726815789473684, 3.6956531100478474, 2.840781176470588, 4.46725, 2.2480500000000005, 1.9567941176470594, 1.4849166666666669, 2.1779411764705885, 1.692583288043479, 0.9518312500000002, 0.42350080645161303, 0.0), # 99
(5.851561102164967, 4.634021969998672, 4.749716006515776, 5.0644267059178745, 4.348291374162834, 2.073680650815425, 1.9479418104690438, 1.5994798811156838, 2.229202389117513, 0.9435023803760191, 0.7360974511193812, 0.4284615430895485, 0.0, 5.8454394933127585, 4.713076973985032, 3.6804872555969057, 2.8305071411280567, 4.458404778235026, 2.2392718335619577, 1.9479418104690438, 1.4812004648681607, 2.174145687081417, 1.6881422353059587, 0.9499432013031552, 0.42127472454533393, 0.0), # 100
(5.833367078189301, 4.609530688304793, 4.74018831447188, 5.051018402777779, 4.340622932300493, 2.0684843697607076, 1.9390798204055288, 1.5933195016003658, 2.224777857796068, 0.9400691809892685, 0.7330692421288914, 0.4272062065314178, 0.0, 5.83398180298354, 4.699268271845595, 3.6653462106444565, 2.820207542967805, 4.449555715592136, 2.230647302240512, 1.9390798204055288, 1.4774888355433624, 2.1703114661502463, 1.6836728009259267, 0.9480376628943762, 0.41904824439134486, 0.0), # 101
(5.81508888888889, 4.58504641577061, 4.730575231481482, 5.037534375000002, 4.332886710239652, 2.063304732510289, 1.9302113289760352, 1.5872716049382718, 2.2203552469135803, 0.9366275381263621, 0.7300503189792665, 0.4259450942170242, 0.0, 5.822439236111112, 4.6853960363872655, 3.650251594896332, 2.809882614379086, 4.440710493827161, 2.2221802469135805, 1.9302113289760352, 1.4737890946502061, 2.166443355119826, 1.6791781250000009, 0.9461150462962965, 0.4168224014336919, 0.0), # 102
(5.796754016818752, 4.560580542280633, 4.720878815157751, 5.023984042874398, 4.325092390865812, 2.058151981405274, 1.9213395177000843, 1.5813389346136262, 2.2159383973479656, 0.9331775292503837, 0.7270450056116725, 0.42467878372199375, 0.0, 5.810827224794239, 4.67146662094193, 3.635225028058362, 2.79953258775115, 4.431876794695931, 2.2138745084590767, 1.9213395177000843, 1.4701085581466242, 2.162546195432906, 1.6746613476247996, 0.9441757630315504, 0.4145982311164212, 0.0), # 103
(5.778389944533907, 4.536144457719368, 4.711101123113855, 5.010376826690822, 4.3172496570644725, 2.0530363587867706, 1.912467568097198, 1.5755242341106543, 2.2115311499771377, 0.9297192318244174, 0.7240576259672752, 0.4234078526219528, 0.0, 5.799161201131688, 4.65748637884148, 3.6202881298363754, 2.7891576954732518, 4.4230622999542755, 2.205733927754916, 1.912467568097198, 1.4664545419905504, 2.1586248285322363, 1.6701256088969412, 0.9422202246227711, 0.412376768883579, 0.0), # 104
(5.760024154589373, 4.5117495519713255, 4.701244212962964, 4.996722146739131, 4.309368191721133, 2.047968106995885, 1.9035986616868976, 1.5698302469135805, 2.2071373456790124, 0.9262527233115473, 0.721092503987241, 0.4221328784925278, 0.0, 5.787456597222223, 4.6434616634178045, 3.6054625199362045, 2.7787581699346413, 4.414274691358025, 2.197762345679013, 1.9035986616868976, 1.462834362139918, 2.1546840958605666, 1.6655740489130442, 0.9402488425925928, 0.4101590501792115, 0.0), # 105
(5.741684129540169, 4.487407214921015, 4.691310142318245, 4.98302942330918, 4.301457677721295, 2.0429574683737237, 1.8947359799887038, 1.5642597165066305, 2.202760825331504, 0.922778081174857, 0.7181539636127356, 0.4208544389093448, 0.0, 5.775728845164609, 4.629398828002793, 3.590769818063678, 2.7683342435245706, 4.405521650663008, 2.1899636031092826, 1.8947359799887038, 1.4592553345526598, 2.1507288388606476, 1.661009807769727, 0.9382620284636491, 0.40794611044736506, 0.0), # 106
(5.723397351941315, 4.463128836452942, 4.681300968792868, 4.9693080766908215, 4.293527797950456, 2.038014685261394, 1.8858827045221387, 1.5588153863740288, 2.198405429812529, 0.9192953828774312, 0.7152463287849253, 0.41957311144803033, 0.0, 5.763993377057614, 4.615304225928333, 3.5762316439246264, 2.7578861486322928, 4.396810859625058, 2.18234154092364, 1.8858827045221387, 1.4557247751867097, 2.146763898975228, 1.6564360255636077, 0.9362601937585737, 0.40573898513208567, 0.0), # 107
(5.705191304347827, 4.438925806451614, 4.671218750000001, 4.955567527173915, 4.285588235294117, 2.0331500000000005, 1.8770420168067228, 1.5535000000000003, 2.194075, 0.9158047058823533, 0.7123739234449762, 0.4182894736842107, 0.0, 5.7522656250000015, 4.601184210526317, 3.5618696172248807, 2.7474141176470592, 4.38815, 2.1749000000000005, 1.8770420168067228, 1.4522500000000003, 2.1427941176470586, 1.6518558423913052, 0.9342437500000004, 0.4035387096774195, 0.0), # 108
(5.687093469314727, 4.414809514801541, 4.661065543552813, 4.941817195048309, 4.27764867263778, 2.0283736549306512, 1.8682170983619788, 1.5483163008687704, 2.189773376771834, 0.9123061276527075, 0.7095410715340542, 0.417004103193512, 0.0, 5.740561021090536, 4.587045135128632, 3.547705357670271, 2.736918382958122, 4.379546753543668, 2.167642821216279, 1.8682170983619788, 1.4488383249504653, 2.13882433631889, 1.6472723983494368, 0.9322131087105627, 0.40134631952741284, 0.0), # 109
(5.66913132939703, 4.3907913513872305, 4.650843407064474, 4.928066500603865, 4.269718792866942, 2.0236958923944526, 1.859411130707427, 1.5432670324645634, 2.1855044010059443, 0.9087997256515778, 0.7067520969933253, 0.4157175775515608, 0.0, 5.728894997427985, 4.572893353067168, 3.533760484966626, 2.726399176954733, 4.371008802011889, 2.160573845450389, 1.859411130707427, 1.4454970659960373, 2.134859396433471, 1.6426888335346224, 0.9301686814128948, 0.3991628501261119, 0.0), # 110
(5.6513323671497595, 4.366882706093191, 4.64055439814815, 4.914324864130435, 4.261808278867103, 2.019126954732511, 1.8506272953625897, 1.5383549382716053, 2.181271913580247, 0.9052855773420483, 0.7040113237639555, 0.4144304743339832, 0.0, 5.717282986111112, 4.558735217673815, 3.5200566188197775, 2.715856732026144, 4.362543827160494, 2.1536969135802475, 1.8506272953625897, 1.4422335390946506, 2.1309041394335515, 1.638108288043479, 0.92811087962963, 0.3969893369175629, 0.0), # 111
(5.633724065127931, 4.343094968803928, 4.630200574417011, 4.900601705917875, 4.253926813523764, 2.0146770842859327, 1.8418687738469877, 1.5335827617741202, 2.1770797553726564, 0.9017637601872027, 0.7013230757871111, 0.4131433711164056, 0.0, 5.705740419238684, 4.544577082280461, 3.5066153789355554, 2.7052912805616076, 4.354159510745313, 2.1470158664837684, 1.8418687738469877, 1.4390550602042376, 2.126963406761882, 1.6335339019726254, 0.9260401148834023, 0.39482681534581177, 0.0), # 112
(5.616302534221828, 4.319479240332274, 4.619808914126035, 4.886925247121419, 4.246070272069482, 2.01035441922508, 1.8331577890970312, 1.528963142195152, 2.172942562251724, 0.8982457104919097, 0.6986923906152869, 0.41185964682522147, 0.0, 5.6942663405059335, 4.530456115077436, 3.493461953076434, 2.6947371314757285, 4.345885124503448, 2.1405483990732126, 1.8331577890970312, 1.4359674423036286, 2.123035136034741, 1.6289750823738067, 0.9239617828252071, 0.3926799309392977, 0.0), # 113
(5.59888853874004, 4.296268450939045, 4.60952283751081, 4.873405239574803, 4.238157341826531, 2.0061491129854656, 1.824605462523174, 1.5245528148762801, 2.1689238071426122, 0.8947972751869178, 0.6961244337113198, 0.41059560860564887, 0.0, 5.682765248496022, 4.5165516946621365, 3.4806221685565992, 2.684391825560753, 4.3378476142852245, 2.134373940826792, 1.824605462523174, 1.4329636521324756, 2.1190786709132654, 1.6244684131916012, 0.9219045675021622, 0.39056985917627685, 0.0), # 114
(5.581430941802398, 4.273470959275675, 4.59934846635366, 4.860038027331801, 4.230163071155441, 2.002050229374568, 1.8162178950574688, 1.5203506635696775, 2.165024995733758, 0.8914237991982119, 0.6936154511427095, 0.40935187912794263, 0.0, 5.6712039789962265, 4.502870670407368, 3.4680772557135473, 2.674271397594635, 4.330049991467516, 2.1284909289975484, 1.8162178950574688, 1.4300358781246914, 2.1150815355777204, 1.6200126757772675, 0.919869693270732, 0.3884973599341524, 0.0), # 115
(5.5639079239425815, 4.251053554710436, 4.589266094991937, 4.846799767619883, 4.222075410553511, 1.9980481070504847, 1.8079814452583682, 1.5163450782247487, 2.1612362678455663, 0.8881190037674325, 0.6911605931271482, 0.4081261598743674, 0.0, 5.659564355853536, 4.489387758618041, 3.455802965635741, 2.6643570113022967, 4.322472535691133, 2.1228831095146483, 1.8079814452583682, 1.4271772193217747, 2.1110377052767557, 1.6155999225399613, 0.9178532189983876, 0.3864594140645852, 0.0), # 116
(5.546297665694264, 4.228983026611597, 4.579256017762994, 4.833666617666511, 4.213882310518045, 1.9941330846713121, 1.799882471684326, 1.5125244487908964, 2.1575477632984406, 0.8848766101362197, 0.6887550098823285, 0.40691615232718764, 0.0, 5.647828202914936, 4.476077675599063, 3.4437750494116424, 2.654629830408658, 4.315095526596881, 2.117534228307255, 1.799882471684326, 1.4243807747652228, 2.1069411552590225, 1.6112222058888372, 0.9158512035525989, 0.38445300241923613, 0.0), # 117
(5.528578347591128, 4.2072261643474285, 4.569298529004184, 4.82061473469915, 4.205571721546337, 1.9902955008951488, 1.791907332893795, 1.5088771652175246, 2.153949621912787, 0.8816903395462142, 0.6863938516259426, 0.40571955796866754, 0.0, 5.635977344027416, 4.462915137655342, 3.4319692581297123, 2.645071018638642, 4.307899243825574, 2.1124280313045345, 1.791907332893795, 1.4216396434965348, 2.1027858607731686, 1.6068715782330507, 0.913859705800837, 0.3824751058497663, 0.0), # 118
(5.5107281501668455, 4.185749757286201, 4.5593739230528625, 4.807620275945268, 4.197131594135689, 1.986525694380092, 1.784042387445227, 1.5053916174540365, 2.1504319835090087, 0.8785539132390561, 0.6840722685756829, 0.40453407828107185, 0.0, 5.6239936030379605, 4.449874861091789, 3.4203613428784148, 2.6356617397171673, 4.300863967018017, 2.107548264435651, 1.784042387445227, 1.4189469245572084, 2.0985657970678444, 1.6025400919817565, 0.9118747846105726, 0.38052270520783654, 0.0), # 119
(5.492725253955098, 4.164520594796188, 4.549462494246382, 4.794659398632328, 4.188549878783399, 1.9828140037842383, 1.7762739938970762, 1.502056195449836, 2.146984987907512, 0.8754610524563862, 0.6817854109492417, 0.4033574147466649, 0.0, 5.611858803793559, 4.436931562213314, 3.4089270547462087, 2.626383157369158, 4.293969975815024, 2.10287867362977, 1.7762739938970762, 1.4162957169887416, 2.0942749393916995, 1.5982197995441099, 0.9098924988492764, 0.37859278134510804, 0.0), # 120
(5.474547839489562, 4.1435054662456565, 4.539544536922095, 4.781708259987796, 4.179814525986767, 1.979150767765686, 1.7685885108077943, 1.498859289154327, 2.1435987749286998, 0.8724054784398447, 0.6795284289643118, 0.40218726884771117, 0.0, 5.599554770141197, 4.424059957324822, 3.3976421448215586, 2.6172164353195333, 4.2871975498573995, 2.098403004816058, 1.7685885108077943, 1.4136791198326328, 2.0899072629933837, 1.5939027533292658, 0.9079089073844191, 0.3766823151132416, 0.0), # 121
(5.456174087303913, 4.122671161002879, 4.529600345417356, 4.768743017239136, 4.170913486243094, 1.9755263249825321, 1.7609722967358354, 1.4957892885169124, 2.140263484392978, 0.8693809124310719, 0.6772964728385852, 0.4010213420664751, 0.0, 5.587063325927863, 4.411234762731225, 3.386482364192926, 2.608142737293215, 4.280526968785956, 2.0941050039236773, 1.7609722967358354, 1.41109023213038, 2.085456743121547, 1.589581005746379, 0.9059200690834714, 0.3747882873638982, 0.0), # 122
(5.437582177931832, 4.101984468436126, 4.519610214069519, 4.755739827613812, 4.161834710049677, 1.9719310140928743, 1.7534117102396518, 1.492834583486996, 2.136969256120751, 0.8663810756717084, 0.6750846927897546, 0.39985733588522115, 0.0, 5.5743662950005435, 4.398430694737432, 3.3754234639487724, 2.5991432270151247, 4.273938512241502, 2.0899684168817947, 1.7534117102396518, 1.4085221529234815, 2.0809173550248383, 1.5852466092046047, 0.9039220428139038, 0.3729076789487388, 0.0), # 123
(5.418750291906993, 4.081412177913668, 4.509554437215936, 4.742674848339295, 4.152566147903816, 1.968355173754809, 1.745893109877696, 1.4899835640139818, 2.1337062299324234, 0.8633996894033945, 0.6728882390355121, 0.39869295178621383, 0.0, 5.561445501206228, 4.385622469648352, 3.3644411951775606, 2.590199068210183, 4.267412459864847, 2.0859769896195743, 1.745893109877696, 1.4059679812534351, 2.076283073951908, 1.5808916161130986, 0.9019108874431874, 0.37103747071942444, 0.0), # 124
(5.399656609763076, 4.060921078803776, 4.4994133091939625, 4.729524236643043, 4.143095750302809, 1.964789142626435, 1.738402854208422, 1.487224620047273, 2.130464545648399, 0.8604304748677705, 0.6707022617935502, 0.3975258912517175, 0.0, 5.548282768391898, 4.372784803768892, 3.353511308967751, 2.581291424603311, 4.260929091296798, 2.082114468066182, 1.738402854208422, 1.4034208161617392, 2.0715478751514045, 1.5765080788810146, 0.8998826618387926, 0.3691746435276161, 0.0), # 125
(5.380279312033758, 4.040477960474722, 4.48916712434095, 4.716264149752525, 4.133411467743958, 1.9612232593658492, 1.7309273017902813, 1.4845461415362735, 2.127234343089084, 0.8574671533064767, 0.6685219112815614, 0.3963538557639968, 0.0, 5.534859920404548, 4.359892413403964, 3.342609556407807, 2.5724014599194294, 4.254468686178168, 2.078364598150783, 1.7309273017902813, 1.4008737566898921, 2.066705733871979, 1.5720880499175087, 0.8978334248681901, 0.3673161782249748, 0.0), # 126
(5.360596579252717, 4.020049612294773, 4.478796176994253, 4.702870744895205, 4.123501250724559, 1.9576478626311482, 1.7234528111817284, 1.4819365184303865, 2.124005762074882, 0.8545034459611539, 0.666342337717238, 0.3951745468053159, 0.0, 5.52115878109116, 4.346920014858474, 3.3317116885861897, 2.563510337883461, 4.248011524149764, 2.0747111258025415, 1.7234528111817284, 1.3983199018793915, 2.0617506253622797, 1.5676235816317354, 0.8957592353988507, 0.3654590556631613, 0.0), # 127
(5.340586591953628, 3.9996028236322045, 4.468280761491226, 4.68932017929855, 4.113353049741916, 1.954053291080431, 1.7159657409412148, 1.4793841406790158, 2.120768942426197, 0.8515330740734423, 0.6641586913182725, 0.39398566585793954, 0.0, 5.507161174298723, 4.3338423244373345, 3.3207934565913626, 2.554599222220326, 4.241537884852394, 2.071137796950622, 1.7159657409412148, 1.3957523507717362, 2.056676524870958, 1.5631067264328504, 0.8936561522982452, 0.36360025669383683, 0.0), # 128
(5.320227530670169, 3.9791043838552826, 4.457601172169221, 4.675588610190022, 4.102954815293325, 1.9504298833717935, 1.7084524496271942, 1.4768773982315653, 2.117514023963435, 0.8485497588849822, 0.6619661223023573, 0.3927849144041319, 0.0, 5.492848923874224, 4.32063405844545, 3.309830611511786, 2.545649276654946, 4.23502804792687, 2.0676283575241916, 1.7084524496271942, 1.3931642024084239, 2.0514774076466624, 1.5585295367300078, 0.8915202344338442, 0.36173676216866213, 0.0), # 129
(5.29949757593602, 3.958521082332282, 4.44673770336559, 4.661652194797089, 4.092294497876086, 1.9467679781633334, 1.700899295798119, 1.4744046810374378, 2.1142311465070005, 0.8455472216374139, 0.6597597808871846, 0.3915699939261577, 0.0, 5.47820385366465, 4.307269933187734, 3.2987989044359227, 2.536641664912241, 4.228462293014001, 2.064166553452413, 1.700899295798119, 1.3905485558309525, 2.046147248938043, 1.5538840649323635, 0.8893475406731182, 0.3598655529392984, 0.0), # 130
(5.2783749082848574, 3.9378197084314697, 4.435670649417691, 4.647487090347214, 4.0813600479874985, 1.9430579141131485, 1.693292638012443, 1.4719543790460377, 2.1109104498772973, 0.8425191835723781, 0.6575348172904469, 0.39033860590628133, 0.0, 5.463207787516988, 4.293724664969094, 3.2876740864522342, 2.5275575507171335, 4.2218208997545945, 2.060736130664453, 1.693292638012443, 1.3878985100808203, 2.0406800239937493, 1.5491623634490719, 0.8871341298835383, 0.3579836098574064, 0.0), # 131
(5.256837708250356, 3.9169670515211195, 4.424380304662874, 4.633069454067865, 4.070139416124862, 1.9392900298793363, 1.6856188348286179, 1.4695148822067685, 2.107542073894731, 0.839459365931515, 0.6552863817298366, 0.38908845182676716, 0.0, 5.447842549278226, 4.2799729700944384, 3.2764319086491827, 2.5183780977945442, 4.215084147789462, 2.057320835089476, 1.6856188348286179, 1.3852071641995258, 2.035069708062431, 1.5443564846892888, 0.8848760609325749, 0.35608791377464727, 0.0), # 132
(5.234864156366198, 3.8959299009695, 4.412846963438493, 4.618375443186504, 4.058620552785475, 1.9354546641199937, 1.677864244805097, 1.4670745804690333, 2.1041161583797052, 0.8363614899564652, 0.6530096244230462, 0.38781723316987976, 0.0, 5.432089962795352, 4.2659895648686765, 3.2650481221152305, 2.509084469869395, 4.2082323167594105, 2.053904412656647, 1.677864244805097, 1.3824676172285668, 2.0293102763927373, 1.5394584810621683, 0.8825693926876986, 0.3541754455426819, 0.0), # 133
(5.212432433166057, 3.874675046144883, 4.401050920081903, 4.6033812149305975, 4.046791408466637, 1.9315421554932182, 1.6700152265003338, 1.4646218637822361, 2.100622843152626, 0.8332192768888689, 0.6506996955877681, 0.3865226514178834, 0.0, 5.41593185191535, 4.251749165596717, 3.25349847793884, 2.4996578306666057, 4.201245686305252, 2.0504706092951306, 1.6700152265003338, 1.3796729682094415, 2.0233957042333186, 1.5344604049768662, 0.8802101840163805, 0.35224318601317123, 0.0), # 134
(5.189520719183613, 3.8531692764155387, 4.388972468930455, 4.588062926527611, 4.034639933665648, 1.9275428426571075, 1.6620581384727806, 1.4621451220957802, 2.097052268033896, 0.8300264479703667, 0.6483517454416944, 0.3852024080530427, 0.0, 5.399350040485213, 4.237226488583469, 3.241758727208472, 2.4900793439110993, 4.194104536067792, 2.0470031709340923, 1.6620581384727806, 1.3768163161836482, 2.017319966832824, 1.5293543088425374, 0.8777944937860911, 0.3502881160377763, 0.0), # 135
(5.1661071949525414, 3.8313793811497376, 4.376591904321505, 4.572396735205008, 4.022154078879807, 1.9234470642697592, 1.6539793392808906, 1.4596327453590694, 2.0933945728439216, 0.8267767244425988, 0.6459609242025178, 0.38385420455762215, 0.0, 5.382326352351923, 4.222396250133843, 3.229804621012589, 2.4803301733277956, 4.186789145687843, 2.0434858435026975, 1.6539793392808906, 1.373890760192685, 2.0110770394399036, 1.5241322450683366, 0.8753183808643011, 0.34830721646815804, 0.0), # 136
(5.142170041006521, 3.8092721497157513, 4.363889520592406, 4.556358798190257, 4.009321794606414, 1.9192451589892696, 1.6457651874831167, 1.4570731235215075, 2.0896398974031065, 0.8234638275472056, 0.6435223820879307, 0.3824757424138861, 0.0, 5.364842611362467, 4.207233166552746, 3.2176119104396532, 2.4703914826416162, 4.179279794806213, 2.0399023729301105, 1.6457651874831167, 1.3708893992780498, 2.004660897303207, 1.5187862660634195, 0.8727779041184812, 0.34629746815597745, 0.0), # 137
(5.117687437879229, 3.78681437148185, 4.3508456120805095, 4.5399252727108195, 3.9961310313427676, 1.9149274654737378, 1.6374020416379116, 1.454454646532498, 2.0857783815318562, 0.8200814785258274, 0.6410312693156254, 0.381064723104099, 0.0, 5.346880641363835, 4.191711954145088, 3.2051563465781263, 2.4602444355774815, 4.1715567630637125, 2.036236505145497, 1.6374020416379116, 1.3678053324812411, 1.9980655156713838, 1.5133084242369401, 0.870169122416102, 0.3442558519528955, 0.0), # 138
(5.092637566104342, 3.763972835816304, 4.337440473123171, 4.5230723159941615, 3.9825697395861663, 1.9104843223812598, 1.6288762603037281, 1.4517657043414438, 2.0818001650505744, 0.8166233986201049, 0.6384827361032942, 0.37961884811052543, 0.0, 5.328422266203012, 4.175807329215779, 3.1924136805164705, 2.449870195860314, 4.163600330101149, 2.032471986078021, 1.6288762603037281, 1.3646316588437568, 1.9912848697930832, 1.5076907719980543, 0.8674880946246343, 0.34217934871057315, 0.0), # 139
(5.066998606215539, 3.7407143320873844, 4.323654398057744, 4.505776085267751, 3.968625869833912, 1.9059060683699331, 1.6201742020390193, 1.4489946868977492, 2.0776953877796664, 0.8130833090716781, 0.6358719326686295, 0.3781358189154297, 0.0, 5.30944930972699, 4.159494008069726, 3.1793596633431473, 2.439249927215034, 4.155390775559333, 2.0285925616568488, 1.6201742020390193, 1.361361477407095, 1.984312934916956, 1.5019253617559174, 0.8647308796115489, 0.34006493928067133, 0.0), # 140
(5.040748738746498, 3.7170056496633617, 4.309467681221581, 4.48801273775905, 3.954287372583302, 1.9011830420978557, 1.6112822254022388, 1.4461299841508177, 2.073454189539536, 0.809454931122188, 0.633194009229324, 0.37661333700107635, 0.0, 5.2899435957827485, 4.142746707011839, 3.1659700461466196, 2.4283647933665633, 4.146908379079072, 2.024581977811145, 1.6112822254022388, 1.357987887212754, 1.977143686291651, 1.4960042459196834, 0.8618935362443163, 0.33790960451485114, 0.0), # 141
(5.013866144230894, 3.692813577912507, 4.294860616952036, 4.469758430695524, 3.939542198331635, 1.8963055822231247, 1.6021866889518381, 1.443159986050053, 2.0690667101505884, 0.8057319860132744, 0.6304441160030698, 0.3750491038497298, 0.0, 5.26988694821728, 4.125540142347027, 3.152220580015349, 2.4171959580398226, 4.138133420301177, 2.0204239804700745, 1.6021866889518381, 1.354503987302232, 1.9697710991658175, 1.4899194768985085, 0.8589721233904073, 0.3357103252647734, 0.0), # 142
(4.986329003202405, 3.6681049062030895, 4.279813499586464, 4.45098932130464, 3.924378297576212, 1.8912640274038375, 1.5928739512462708, 1.4400730825448582, 2.0645230894332296, 0.8019081949865782, 0.6276174032075594, 0.37344082094365455, 0.0, 5.249261190877571, 4.1078490303801996, 3.138087016037797, 2.4057245849597337, 4.129046178866459, 2.0161023155628017, 1.5928739512462708, 1.3509028767170268, 1.962189148788106, 1.4836631071015467, 0.8559626999172927, 0.33346408238209907, 0.0), # 143
(4.958115496194711, 3.6428464239033826, 4.264306623462215, 4.431681566813861, 3.908783620814332, 1.886048716298092, 1.5833303708439899, 1.4368576635846375, 2.059813467207862, 0.7979772792837393, 0.6247090210604852, 0.371786189765115, 0.0, 5.228048147610609, 4.089648087416265, 3.123545105302426, 2.393931837851217, 4.119626934415724, 2.0116007290184927, 1.5833303708439899, 1.347177654498637, 1.954391810407166, 1.4772271889379538, 0.852861324692443, 0.3311678567184894, 0.0), # 144
(4.929203803741487, 3.617004920381655, 4.248320282916645, 4.411811324450653, 3.8927461185432937, 1.8806499875639846, 1.5735423063034482, 1.4335021191187944, 2.054927983294891, 0.7939329601463985, 0.6217141197795396, 0.3700829117963758, 0.0, 5.206229642263381, 4.070912029760133, 3.108570598897698, 2.3817988804391947, 4.109855966589782, 2.006902966766312, 1.5735423063034482, 1.3433214196885603, 1.9463730592716468, 1.4706037748168845, 0.8496640565833291, 0.32881862912560506, 0.0), # 145
(4.899572106376411, 3.5905471850061783, 4.231834772287109, 4.391354751442482, 3.8762537412603972, 1.8750581798596135, 1.5634961161830991, 1.4299948390967319, 2.049856777514721, 0.7897689588161959, 0.618627849582415, 0.3683286885197011, 0.0, 5.183787498682872, 4.051615573716711, 3.093139247912075, 2.369306876448587, 4.099713555029442, 2.0019927747354247, 1.5634961161830991, 1.3393272713282953, 1.9381268706301986, 1.4637849171474944, 0.8463669544574218, 0.3264133804551072, 0.0), # 146
(4.8691985846331605, 3.563440007145222, 4.214830385910956, 4.370288005016811, 3.859294439462941, 1.8692636318430758, 1.5531781590413944, 1.4263242134678542, 2.044589989687758, 0.7854789965347722, 0.6154453606868038, 0.3665212214173556, 0.0, 5.160703540716072, 4.031733435590911, 3.0772268034340184, 2.356436989604316, 4.089179979375516, 1.9968538988549958, 1.5531781590413944, 1.3351883084593397, 1.9296472197314705, 1.4567626683389374, 0.8429660771821912, 0.3239490915586566, 0.0), # 147
(4.838061419045413, 3.5356501761670587, 4.197287418125542, 4.348587242401109, 3.8418561636482247, 1.863256682172469, 1.5425747934367882, 1.4224786321815646, 2.039117759634406, 0.7810567945437674, 0.6121618033103984, 0.3646582119716036, 0.0, 5.136959592209966, 4.011240331687639, 3.0608090165519917, 2.3431703836313016, 4.078235519268812, 1.9914700850541904, 1.5425747934367882, 1.330897630123192, 1.9209280818241123, 1.44952908080037, 0.8394574836251085, 0.3214227432879145, 0.0), # 148
(4.806138790146848, 3.507144481439957, 4.179186163268223, 4.326228620822837, 3.823926864313549, 1.8570276695058903, 1.5316723779277324, 1.418446485187267, 2.0334302271750677, 0.7764960740848224, 0.6087723276708911, 0.36273736166470966, 0.0, 5.112537477011543, 3.9901109783118054, 3.0438616383544552, 2.3294882222544664, 4.066860454350135, 1.9858250792621739, 1.5316723779277324, 1.32644833536135, 1.9119634321567744, 1.4420762069409458, 0.8358372326536446, 0.3188313164945416, 0.0), # 149
(4.773408878471139, 3.477889712332189, 4.160506915676348, 4.303188297509463, 3.805494491956211, 1.8505669325014376, 1.5204572710726805, 1.4142161624343643, 2.0275175321301506, 0.7717905563995768, 0.6052720839859744, 0.36075637197893823, 0.0, 5.087419018967789, 3.96832009176832, 3.0263604199298717, 2.31537166919873, 4.055035064260301, 1.9799026274081102, 1.5204572710726805, 1.3218335232153124, 1.9027472459781054, 1.434396099169821, 0.8321013831352696, 0.316171792030199, 0.0), # 150
(4.7398498645519656, 3.447852658212025, 4.141229969687272, 4.279442429688449, 3.7865469970735113, 1.843864809817207, 1.5089158314300852, 1.4097760538722612, 2.021369814320058, 0.766933962729672, 0.6016562224733406, 0.35871294439655366, 0.0, 5.0615860419256915, 3.9458423883620894, 3.008281112366703, 2.300801888189015, 4.042739628640116, 1.9736864754211656, 1.5089158314300852, 1.3170462927265765, 1.8932734985367556, 1.42648080989615, 0.8282459939374544, 0.31344115074654777, 0.0), # 151
(4.705439928923006, 3.4170001084477355, 4.1213356196383515, 4.2549671745872635, 3.767072330162748, 1.8369116401112975, 1.4970344175583996, 1.4051145494503605, 2.014977213565194, 0.7619200143167477, 0.5979198933506823, 0.3566047803998206, 0.0, 5.035020369732239, 3.9226525843980258, 2.9895994667534116, 2.2857600429502423, 4.029954427130388, 1.9671603692305049, 1.4970344175583996, 1.312079742936641, 1.883536165081374, 1.4183223915290881, 0.8242671239276703, 0.3106363734952487, 0.0), # 152
(4.670157252117937, 3.3852988524075913, 4.100804159866935, 4.22973868943337, 3.7470584417212227, 1.8296977620418058, 1.484799388016076, 1.4002200391180657, 2.008329869685965, 0.7567424324024447, 0.5940582468356918, 0.3544295814710033, 0.0, 5.007703826234417, 3.8987253961810353, 2.970291234178459, 2.270227297207333, 4.01665973937193, 1.960308054765292, 1.484799388016076, 1.306926972887004, 1.8735292208606114, 1.4099128964777903, 0.820160831973387, 0.3077544411279629, 0.0), # 153
(4.6339800146704375, 3.3527156794598634, 4.07961588471038, 4.203733131454235, 3.726493282246232, 1.8222135142668292, 1.4721971013615687, 1.395080912824781, 2.0014179225027733, 0.7513949382284032, 0.5900664331460613, 0.3521850490923663, 0.0, 4.979618235279215, 3.874035540016029, 2.9503321657303068, 2.254184814685209, 4.002835845005547, 1.9531132779546936, 1.4721971013615687, 1.3015810816191637, 1.863246641123116, 1.4012443771514118, 0.8159231769420761, 0.3047923344963513, 0.0), # 154
(4.596886397114182, 3.3192173789728225, 4.057751088506039, 4.1769266578773205, 3.7053648022350787, 1.8144492354444652, 1.4592139161533286, 1.3896855605199092, 1.9942315118360256, 0.7458712530362633, 0.5859396024994835, 0.3498688847461741, 0.0, 4.950745420713616, 3.8485577322079147, 2.929698012497417, 2.2376137591087897, 3.9884630236720513, 1.945559784727873, 1.4592139161533286, 1.296035168174618, 1.8526824011175393, 1.392308885959107, 0.8115502177012078, 0.3017470344520748, 0.0), # 155
(4.5588545799828495, 3.284770740314739, 4.035190065591264, 4.149295425930094, 3.6836609521850594, 1.8063952642328118, 1.44583619094981, 1.3840223721528548, 1.9867607775061256, 0.7401650980676662, 0.5816729051136506, 0.3474787899146912, 0.0, 4.9210672063846115, 3.822266689061603, 2.9083645255682526, 2.220495294202998, 3.973521555012251, 1.9376313210139968, 1.44583619094981, 1.2902823315948655, 1.8418304760925297, 1.3830984753100317, 0.8070380131182529, 0.29861552184679446, 0.0), # 156
(4.519862743810118, 3.249342552853883, 4.01191311030341, 4.120815592840023, 3.6613696825934743, 1.7980419392899651, 1.4320502843094658, 1.3780797376730207, 1.978995859333478, 0.7342701945642514, 0.577261491206255, 0.34501246608018193, 0.0, 4.890565416139187, 3.7951371268820004, 2.886307456031275, 2.2028105836927536, 3.957991718666956, 1.929311632742229, 1.4320502843094658, 1.2843156709214036, 1.8306848412967371, 1.373605197613341, 0.802382622060682, 0.29539477753217125, 0.0), # 157
(4.478808567843144, 3.2122492164247425, 3.9867959769511785, 4.09039631174306, 3.6374724423483995, 1.7888585667109889, 1.4175320162783573, 1.3714492380873433, 1.9703324183198196, 0.7280048874436718, 0.5725595752538944, 0.34237997820971705, 0.0, 4.857891515649208, 3.766179760306887, 2.8627978762694717, 2.184014662331015, 3.9406648366396393, 1.9200289333222809, 1.4175320162783573, 1.2777561190792777, 1.8187362211741998, 1.3634654372476869, 0.7973591953902358, 0.292022656038613, 0.0), # 158
(4.429372060187042, 3.169685925779713, 3.9533689092014943, 4.051789721454805, 3.6060765239126518, 1.7757913768024864, 1.400463829015715, 1.3618033831910958, 1.9572854522444292, 0.720342149114812, 0.5667416935618995, 0.33906812618415544, 0.0, 4.815256588152117, 3.7297493880257093, 2.8337084678094975, 2.161026447344436, 3.9145709044888584, 1.9065247364675344, 1.400463829015715, 1.268422412001776, 1.8030382619563259, 1.3505965738182684, 0.7906737818402989, 0.288153265979974, 0.0), # 159
(4.370923256942587, 3.121303200697393, 3.910960478977945, 4.004359879683987, 3.5665680525387184, 1.7585194536166897, 1.3806731245151354, 1.3488997973818369, 1.9394850454457304, 0.7111808477794342, 0.5597259508609541, 0.3350250974443924, 0.0, 4.761852365336149, 3.685276071888316, 2.7986297543047707, 2.1335425433383026, 3.878970090891461, 1.8884597163345715, 1.3806731245151354, 1.2560853240119212, 1.7832840262693592, 1.3347866265613293, 0.7821920957955891, 0.28375483642703575, 0.0), # 160
(4.303933232751577, 3.067416477444258, 3.860023485955155, 3.948557626690528, 3.5193572497128454, 1.7372520345496103, 1.3583044338020631, 1.3329001332774453, 1.9171659533998038, 0.7005987289756408, 0.5515741654599708, 0.3302883734453786, 0.0, 4.698224426891459, 3.6331721078991643, 2.757870827299854, 2.101796186926922, 3.8343319067996076, 1.8660601865884234, 1.3583044338020631, 1.2408943103925787, 1.7596786248564227, 1.3161858755635096, 0.7720046971910312, 0.27885604340402353, 0.0), # 161
(4.228873062255815, 3.0083411922867818, 3.8010107298077487, 3.8848338027343474, 3.464854336921282, 1.7121983569972596, 1.333502287901943, 1.3139660434958007, 1.8905629315827275, 0.688673538241535, 0.5423481556678622, 0.32489543564206474, 0.0, 4.6249183525082005, 3.573849792062712, 2.7117407783393106, 2.0660206147246045, 3.781125863165455, 1.839552460894121, 1.333502287901943, 1.222998826426614, 1.732427168460641, 1.2949446009114494, 0.7602021459615498, 0.273485562935162, 0.0), # 162
(4.146213820097099, 2.9443927814914383, 3.7343750102103512, 3.8136392480753707, 3.4034695356502755, 1.6835676583556507, 1.3064112178402203, 1.2922591806547814, 1.8599107354705815, 0.675483021115219, 0.5321097397935409, 0.3188837654894017, 0.0, 4.5424797218765285, 3.5077214203834184, 2.6605486989677045, 2.0264490633456567, 3.719821470941163, 1.809162852916694, 1.3064112178402203, 1.2025483273968933, 1.7017347678251378, 1.2712130826917905, 0.7468750020420704, 0.2676720710446763, 0.0), # 163
(4.056426580917231, 2.8758866813247015, 3.660569126837589, 3.735424802973519, 3.3356130673860758, 1.6515691760207956, 1.27717575464234, 1.2679411973722674, 1.8254441205394447, 0.6611049231347954, 0.5209207361459197, 0.31229084444234023, 0.0, 4.451454114686597, 3.435199288865742, 2.6046036807295985, 1.983314769404386, 3.6508882410788894, 1.7751176763211745, 1.27717575464234, 1.1796922685862825, 1.6678065336930379, 1.245141600991173, 0.7321138253675178, 0.2614442437567911, 0.0), # 164
(3.9599824193580107, 2.803138328053048, 3.5800458793640852, 3.650641307688714, 3.26169515361493, 1.6164121473887054, 1.2459404293337468, 1.2411737462661367, 1.787397842265396, 0.6456169898383672, 0.5088429630339113, 0.30515415395583106, 0.0, 4.3523871106285625, 3.3566956935141414, 2.544214815169556, 1.9368509695151013, 3.574795684530792, 1.7376432447725916, 1.2459404293337468, 1.1545801052776468, 1.630847576807465, 1.2168804358962382, 0.7160091758728171, 0.25483075709573166, 0.0), # 165
(3.857352410061239, 2.72646315794295, 3.493258067464464, 3.5597396024808763, 3.1821260158230857, 1.5783058098553933, 1.212849772939886, 1.2121184799542695, 1.7460066561245147, 0.629096966764037, 0.495938238766428, 0.29751117548482514, 0.0, 4.245824289392578, 3.272622930333076, 2.47969119383214, 1.8872909002921108, 3.4920133122490293, 1.6969658719359773, 1.212849772939886, 1.1273612927538523, 1.5910630079115429, 1.1865798674936257, 0.698651613492893, 0.24786028708572277, 0.0), # 166
(3.749007627668714, 2.6461766072608834, 3.4006584908133526, 3.46317052760993, 3.097315875496792, 1.5374594008168707, 1.1780483164862026, 1.1809370510545443, 1.70150531759288, 0.6116225994499073, 0.4822683816523828, 0.289399390484273, 0.0, 4.132311230668798, 3.1833932953270025, 2.411341908261914, 1.8348677983497215, 3.40301063518576, 1.653311871476362, 1.1780483164862026, 1.0981852862977648, 1.548657937748396, 1.1543901758699768, 0.6801316981626705, 0.24056150975098944, 0.0), # 167
(3.6354191468222377, 2.562594112273321, 3.3026999490853743, 3.3613849233357964, 3.0076749541222974, 1.49408215766915, 1.1416805909981413, 1.14779111218484, 1.6541285821465712, 0.593271633434081, 0.4678952100006882, 0.28085628040912564, 0.0, 4.012393514147377, 3.0894190845003817, 2.339476050003441, 1.7798149003022425, 3.3082571642931424, 1.606907557058776, 1.1416805909981413, 1.06720154119225, 1.5038374770611487, 1.1204616411119324, 0.660539989817075, 0.2329631011157565, 0.0), # 168
(3.5170580421636095, 2.476031109246739, 3.1998352419551552, 3.254833629918398, 2.913613473185848, 1.4483833178082435, 1.1038911275011476, 1.1128423159630365, 1.6041112052616677, 0.5741218142546607, 0.4528805421202569, 0.27191932671433366, 0.0, 3.8866167195184715, 2.99111259385767, 2.2644027106012845, 1.7223654427639818, 3.2082224105233355, 1.5579792423482512, 1.1038911275011476, 1.0345595127201739, 1.456806736592924, 1.0849445433061329, 0.639967048391031, 0.22509373720424902, 0.0), # 169
(3.3943953883346305, 2.386803034447611, 3.092517169097318, 3.1439674876176547, 2.8155416541736935, 1.4005721186301625, 1.064824457020666, 1.076252315007012, 1.5516879424142478, 0.5542508874497488, 0.4372861963200017, 0.262626010854848, 0.0, 3.7555264264722337, 2.8888861194033275, 2.1864309816000085, 1.6627526623492461, 3.1033758848284956, 1.5067532410098168, 1.064824457020666, 1.0004086561644019, 1.4077708270868468, 1.0479891625392184, 0.6185034338194636, 0.21698209404069194, 0.0), # 170
(3.2679022599771006, 2.2952253241424105, 2.9811985301864894, 3.029237336693491, 2.7138697185720826, 1.3508577975309197, 1.0246251105821418, 1.038182761934646, 1.4970935490803914, 0.5337365985574485, 0.4211739909088349, 0.25301381428561937, 0.0, 3.6196682146988195, 2.7831519571418126, 2.1058699545441746, 1.6012097956723452, 2.9941870981607828, 1.4534558667085042, 1.0246251105821418, 0.9648984268077998, 1.3569348592860413, 1.0097457788978306, 0.5962397060372979, 0.20865684764931008, 0.0), # 171
(3.1380497317328193, 2.2016134145976136, 2.8663321248972937, 2.9110940174058286, 2.6090078878672616, 1.299449591906527, 0.9834376192110198, 0.9987953093638179, 1.4405627807361772, 0.5126566931158621, 0.40460574419566947, 0.24312021846159862, 0.0, 3.4795876638883825, 2.6743224030775843, 2.0230287209783473, 1.5379700793475861, 2.8811255614723543, 1.398313433109345, 0.9834376192110198, 0.9281782799332335, 1.3045039439336308, 0.9703646724686098, 0.5732664249794588, 0.20014667405432854, 0.0), # 172
(3.0053088782435884, 2.1062827420796935, 2.748370752904356, 2.7899883700145893, 2.5013663835454807, 1.2465567391529966, 0.941406513932745, 0.9582516099124061, 1.3823303928576847, 0.4910889166630924, 0.3876432744894179, 0.2329827048377363, 0.0, 3.335830353731078, 2.562809753215099, 1.938216372447089, 1.4732667499892769, 2.7646607857153693, 1.3415522538773685, 0.941406513932745, 0.8903976708235689, 1.2506831917727403, 0.9299961233381967, 0.5496741505808713, 0.19148024927997215, 0.0), # 173
(2.8701507741512065, 2.009548742855125, 2.627767213882301, 2.6663712347796937, 2.3913554270929867, 1.19238847666634, 0.8986763257727628, 0.9167133161982903, 1.322631140920993, 0.46911101473724215, 0.37034840009899284, 0.22263875486898346, 0.0, 3.1889418639170604, 2.4490263035588176, 1.851742000494964, 1.4073330442117262, 2.645262281841986, 1.2833986426776065, 0.8986763257727628, 0.8517060547616714, 1.1956777135464933, 0.8887904115932315, 0.5255534427764603, 0.18268624935046593, 0.0), # 174
(2.7330464940974735, 1.9117268531903824, 2.5049743075057544, 2.5406934519610656, 2.279385239996028, 1.1371540418425703, 0.8553915857565175, 0.8743420808393492, 1.2616997804021812, 0.4468007328764138, 0.352782939333307, 0.21212585001029077, 0.0, 3.039467774136485, 2.333384350113198, 1.763914696666535, 1.3404021986292411, 2.5233995608043625, 1.2240789131750889, 0.8553915857565175, 0.8122528870304073, 1.139692619998014, 0.8468978173203554, 0.5009948615011509, 0.1737933502900348, 0.0), # 175
(2.5944671127241916, 1.8131325093519404, 2.3804448334493395, 2.4134058618186263, 2.165866043740852, 1.0810626720776986, 0.8116968249094546, 0.8312995564534624, 1.1997710667773285, 0.42423581661871024, 0.33500871050127307, 0.201481471716609, 0.0, 2.8879536640795047, 2.2162961888826986, 1.6750435525063654, 1.2727074498561304, 2.399542133554657, 1.1638193790348474, 0.8116968249094546, 0.7721876229126418, 1.082933021870426, 0.804468620606209, 0.476088966689868, 0.16483022812290368, 0.0), # 176
(2.45488370467316, 1.7140811476062734, 2.254631591387682, 2.284959304612298, 2.0512080598137095, 1.0243236047677373, 0.7677365742570189, 0.7877473956585084, 1.137079755522514, 0.40149401150223385, 0.31708753191180367, 0.190743101442889, 0.0, 2.734945113436275, 2.0981741158717786, 1.585437659559018, 1.204482034506701, 2.274159511045028, 1.1028463539219118, 0.7677365742570189, 0.7316597176912409, 1.0256040299068547, 0.7616531015374328, 0.4509263182775365, 0.1558255588732976, 0.0), # 177
(2.3147673445861785, 1.6148882042198558, 2.1279873809954073, 2.1558046206020025, 1.9358215097008458, 0.9671460773086992, 0.7236553648246553, 0.7438472510723665, 1.0738606021138173, 0.37865306306508767, 0.2990812218738113, 0.1799482206440814, 0.0, 2.5809877018969516, 1.979430427084895, 1.4954061093690565, 1.1359591891952627, 2.1477212042276346, 1.0413861515013132, 0.7236553648246553, 0.6908186266490708, 0.9679107548504229, 0.7186015402006676, 0.4255974761990815, 0.14680801856544146, 0.0), # 178
(0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179
)
passenger_allighting_rate = (
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 2
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 3
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 4
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 5
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 6
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 7
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 8
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 9
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 10
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 11
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 12
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 13
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 14
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 15
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 16
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 17
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 35
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 36
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 37
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 38
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 39
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 40
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 41
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 42
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 43
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 44
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 45
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 46
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 47
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 48
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 49
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 50
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 51
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 52
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 53
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 54
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 55
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 56
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 57
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 58
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 59
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 60
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 61
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 62
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 63
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 64
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 65
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 66
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 67
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 68
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 69
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 70
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 71
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 72
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 73
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 74
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 75
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 76
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 77
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 78
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 79
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 80
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 81
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 82
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 83
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 84
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 85
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 86
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 87
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 88
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 89
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 90
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 91
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 92
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 93
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 94
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 95
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 96
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 97
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 98
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 99
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 100
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 101
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 102
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 103
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 104
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 105
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 106
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 107
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 108
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 109
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 110
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 111
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 112
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 113
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 114
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 115
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 116
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 119
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 120
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 121
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 122
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 124
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 125
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 126
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 127
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 128
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 129
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 130
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 131
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 139
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 141
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 142
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 143
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(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 175
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 176
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 177
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 178
(0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 179
)
"""
parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html
"""
#initial entropy
entropy = 8991598675325360468762009371570610170
#index for seed sequence child
child_seed_index = (
1, # 0
74, # 1
)
| """
PASSENGERS
"""
num_passengers = 11416
passenger_arriving = ((2, 4, 1, 3, 2, 0, 2, 2, 1, 1, 1, 0, 0, 1, 2, 2, 1, 3, 2, 2, 0, 2, 1, 1, 1, 0), (4, 1, 4, 4, 1, 1, 1, 2, 1, 1, 1, 0, 0, 4, 4, 3, 3, 6, 0, 1, 1, 0, 1, 0, 1, 0), (2, 3, 3, 0, 2, 0, 2, 1, 1, 0, 0, 0, 0, 1, 7, 3, 5, 1, 2, 3, 0, 2, 0, 0, 0, 0), (2, 4, 2, 4, 2, 1, 3, 2, 3, 0, 0, 0, 0, 3, 5, 3, 4, 4, 2, 2, 2, 2, 0, 0, 0, 0), (5, 3, 8, 3, 2, 0, 1, 2, 4, 1, 2, 0, 0, 2, 6, 1, 2, 4, 2, 2, 1, 1, 2, 0, 0, 0), (4, 2, 3, 4, 2, 1, 1, 3, 2, 1, 1, 1, 0, 1, 5, 1, 1, 2, 3, 1, 2, 4, 2, 1, 1, 0), (6, 1, 4, 4, 2, 1, 2, 3, 0, 0, 2, 0, 0, 8, 5, 3, 2, 5, 2, 3, 1, 2, 0, 0, 0, 0), (4, 5, 4, 4, 4, 2, 3, 0, 2, 0, 1, 0, 0, 6, 4, 2, 4, 4, 4, 1, 2, 1, 1, 1, 2, 0), (3, 6, 1, 5, 0, 0, 1, 1, 1, 0, 0, 1, 0, 7, 4, 2, 9, 4, 1, 6, 1, 2, 1, 0, 0, 0), (7, 7, 2, 4, 3, 2, 3, 4, 1, 2, 0, 1, 0, 4, 4, 3, 5, 4, 4, 1, 1, 0, 2, 2, 0, 0), (4, 8, 5, 2, 1, 1, 3, 3, 2, 1, 0, 1, 0, 2, 2, 4, 1, 4, 4, 3, 2, 2, 0, 0, 0, 0), (5, 7, 7, 2, 3, 2, 2, 2, 1, 1, 1, 0, 0, 5, 6, 4, 5, 7, 1, 0, 1, 2, 1, 1, 1, 0), (4, 5, 7, 1, 7, 1, 2, 2, 1, 0, 0, 1, 0, 5, 2, 4, 2, 2, 4, 3, 1, 1, 1, 1, 0, 0), (5, 6, 7, 4, 4, 1, 3, 4, 4, 3, 0, 0, 0, 0, 7, 3, 2, 6, 4, 4, 5, 2, 5, 0, 1, 0), (10, 6, 9, 3, 7, 0, 4, 1, 0, 1, 1, 1, 0, 3, 2, 4, 2, 4, 4, 1, 1, 2, 0, 1, 0, 0), (5, 7, 3, 6, 6, 1, 0, 2, 2, 1, 1, 0, 0, 1, 5, 2, 3, 2, 4, 2, 1, 1, 2, 0, 1, 0), (3, 4, 4, 3, 5, 1, 1, 1, 2, 1, 0, 0, 0, 4, 6, 4, 3, 7, 4, 2, 2, 1, 1, 2, 0, 0), (5, 3, 5, 5, 4, 0, 4, 0, 5, 1, 2, 0, 0, 3, 5, 3, 2, 2, 3, 3, 0, 1, 4, 0, 1, 0), (6, 10, 5, 3, 4, 4, 6, 2, 0, 1, 0, 0, 0, 2, 5, 4, 4, 0, 7, 3, 0, 3, 2, 0, 0, 0), (6, 6, 4, 6, 4, 1, 0, 1, 2, 1, 1, 0, 0, 6, 6, 6, 4, 2, 4, 2, 2, 3, 2, 0, 1, 0), (7, 9, 3, 6, 6, 4, 2, 1, 4, 1, 2, 0, 0, 7, 2, 8, 6, 4, 2, 2, 0, 2, 2, 0, 1, 0), (5, 5, 4, 5, 8, 1, 1, 5, 2, 2, 2, 0, 0, 10, 4, 1, 4, 5, 2, 5, 4, 5, 0, 0, 0, 0), (5, 11, 7, 3, 3, 2, 6, 3, 1, 0, 0, 0, 0, 7, 6, 1, 5, 4, 3, 2, 0, 2, 2, 1, 0, 0), (5, 4, 5, 5, 5, 0, 2, 2, 3, 0, 2, 1, 0, 1, 3, 4, 7, 4, 4, 4, 1, 2, 1, 1, 0, 0), (3, 5, 4, 5, 2, 4, 1, 3, 4, 1, 0, 1, 0, 8, 9, 6, 3, 5, 0, 4, 1, 3, 2, 3, 0, 0), (9, 7, 4, 5, 4, 3, 1, 1, 0, 2, 0, 0, 0, 5, 10, 4, 1, 6, 2, 0, 2, 0, 2, 0, 0, 0), (9, 5, 6, 1, 2, 2, 3, 2, 0, 2, 0, 1, 0, 7, 2, 3, 5, 4, 0, 1, 3, 2, 2, 1, 0, 0), (9, 4, 1, 5, 5, 2, 3, 2, 3, 0, 1, 1, 0, 8, 5, 7, 7, 5, 3, 2, 0, 5, 3, 1, 0, 0), (11, 6, 4, 8, 4, 3, 4, 2, 3, 3, 0, 0, 0, 6, 11, 3, 1, 3, 1, 0, 1, 2, 3, 0, 2, 0), (5, 7, 5, 6, 5, 2, 3, 3, 2, 0, 1, 0, 0, 7, 7, 1, 6, 7, 2, 0, 3, 4, 4, 0, 0, 0), (3, 7, 3, 10, 3, 1, 5, 1, 2, 0, 0, 1, 0, 5, 6, 4, 6, 5, 4, 3, 1, 4, 1, 1, 1, 0), (7, 5, 8, 5, 5, 4, 1, 1, 0, 0, 2, 0, 0, 4, 8, 10, 2, 6, 4, 2, 1, 4, 0, 0, 0, 0), (6, 4, 7, 2, 5, 2, 1, 3, 2, 0, 1, 1, 0, 6, 6, 2, 4, 3, 2, 3, 2, 1, 1, 1, 1, 0), (4, 7, 5, 7, 5, 0, 3, 1, 3, 0, 2, 1, 0, 4, 5, 7, 2, 6, 2, 2, 0, 1, 5, 0, 0, 0), (8, 9, 7, 6, 2, 0, 3, 3, 3, 2, 0, 0, 0, 9, 3, 3, 2, 1, 2, 3, 3, 2, 1, 0, 0, 0), (3, 4, 5, 6, 2, 2, 2, 3, 1, 2, 2, 0, 0, 6, 3, 5, 4, 6, 4, 4, 0, 4, 0, 2, 2, 0), (6, 10, 7, 9, 6, 2, 2, 4, 2, 2, 0, 0, 0, 4, 6, 4, 2, 7, 6, 4, 1, 1, 0, 0, 1, 0), (9, 10, 3, 6, 1, 2, 2, 4, 3, 3, 0, 1, 0, 5, 4, 5, 6, 6, 2, 2, 0, 1, 3, 0, 1, 0), (0, 6, 5, 2, 9, 0, 1, 1, 5, 1, 0, 0, 0, 4, 5, 5, 6, 4, 3, 5, 2, 4, 0, 0, 1, 0), (6, 6, 4, 4, 6, 3, 3, 3, 2, 3, 2, 1, 0, 9, 5, 4, 0, 3, 3, 0, 2, 0, 0, 1, 0, 0), (9, 4, 9, 4, 6, 3, 1, 3, 1, 1, 1, 0, 0, 7, 3, 3, 2, 5, 3, 4, 2, 3, 4, 0, 2, 0), (2, 3, 4, 5, 2, 3, 3, 2, 1, 1, 1, 1, 0, 4, 3, 2, 3, 6, 6, 4, 3, 5, 1, 2, 0, 0), (5, 6, 6, 5, 2, 0, 2, 1, 2, 1, 1, 0, 0, 6, 5, 4, 2, 7, 2, 2, 0, 1, 0, 0, 2, 0), (8, 5, 6, 3, 6, 2, 1, 2, 3, 1, 1, 1, 0, 6, 6, 1, 5, 4, 2, 2, 2, 2, 0, 0, 1, 0), (7, 4, 5, 12, 1, 3, 2, 3, 3, 1, 2, 0, 0, 6, 5, 3, 2, 3, 2, 2, 1, 5, 3, 3, 1, 0), (4, 8, 6, 5, 2, 1, 2, 2, 2, 1, 1, 0, 0, 3, 7, 3, 5, 2, 6, 1, 1, 3, 1, 0, 0, 0), (5, 5, 2, 2, 2, 3, 4, 2, 3, 0, 0, 0, 0, 4, 2, 3, 1, 6, 3, 5, 1, 0, 2, 1, 1, 0), (6, 8, 5, 5, 3, 3, 1, 2, 3, 4, 1, 0, 0, 7, 5, 7, 2, 3, 1, 3, 0, 5, 1, 2, 0, 0), (8, 7, 6, 9, 11, 1, 0, 4, 2, 1, 1, 0, 0, 3, 6, 3, 2, 4, 3, 2, 3, 4, 2, 1, 0, 0), (6, 10, 1, 7, 2, 2, 2, 0, 2, 0, 3, 0, 0, 6, 6, 6, 7, 4, 2, 2, 1, 4, 1, 0, 0, 0), (5, 3, 5, 9, 6, 1, 0, 1, 1, 1, 0, 0, 0, 4, 5, 1, 4, 5, 2, 1, 1, 1, 3, 0, 1, 0), (5, 4, 4, 5, 2, 4, 4, 3, 4, 1, 1, 2, 0, 7, 0, 7, 3, 6, 2, 1, 1, 1, 2, 0, 0, 0), (4, 3, 3, 7, 3, 3, 0, 3, 4, 2, 0, 0, 0, 4, 8, 3, 0, 5, 0, 4, 2, 1, 3, 3, 0, 0), (5, 3, 6, 4, 4, 4, 2, 4, 0, 1, 1, 0, 0, 3, 5, 4, 4, 6, 4, 3, 4, 4, 4, 0, 1, 0), (7, 5, 7, 6, 7, 1, 0, 1, 1, 0, 1, 1, 0, 5, 5, 3, 7, 5, 1, 3, 1, 3, 1, 0, 1, 0), (9, 7, 6, 7, 1, 3, 2, 3, 4, 2, 1, 0, 0, 3, 3, 2, 4, 5, 0, 4, 2, 4, 2, 1, 2, 0), (5, 10, 5, 12, 0, 2, 0, 0, 0, 3, 0, 0, 0, 5, 5, 4, 9, 4, 4, 4, 4, 1, 0, 0, 0, 0), (3, 3, 5, 7, 8, 3, 2, 1, 1, 1, 3, 0, 0, 10, 4, 3, 5, 9, 4, 1, 2, 5, 2, 1, 1, 0), (7, 7, 6, 3, 7, 2, 2, 4, 5, 2, 1, 0, 0, 7, 4, 5, 5, 5, 1, 2, 1, 2, 3, 1, 0, 0), (5, 7, 3, 8, 5, 0, 4, 3, 1, 1, 0, 0, 0, 6, 4, 6, 7, 5, 2, 2, 0, 3, 2, 0, 0, 0), (6, 5, 10, 4, 3, 1, 4, 1, 4, 0, 1, 0, 0, 4, 7, 5, 5, 3, 1, 2, 1, 2, 2, 4, 0, 0), (6, 8, 5, 5, 2, 2, 1, 0, 2, 1, 0, 3, 0, 7, 3, 3, 1, 5, 6, 1, 2, 4, 2, 5, 0, 0), (8, 5, 3, 4, 7, 0, 3, 3, 0, 0, 1, 0, 0, 8, 9, 2, 3, 7, 3, 1, 1, 1, 2, 1, 0, 0), (7, 5, 4, 8, 3, 1, 3, 2, 6, 1, 1, 0, 0, 6, 5, 3, 6, 6, 3, 3, 3, 1, 0, 1, 1, 0), (7, 4, 3, 10, 5, 2, 2, 2, 5, 1, 3, 0, 0, 10, 4, 5, 2, 3, 3, 1, 2, 3, 4, 2, 1, 0), (6, 7, 8, 3, 1, 1, 5, 3, 4, 1, 1, 2, 0, 9, 4, 6, 3, 3, 0, 1, 1, 2, 5, 0, 0, 0), (3, 3, 9, 11, 1, 3, 0, 0, 0, 2, 0, 0, 0, 7, 5, 5, 3, 6, 1, 5, 1, 3, 2, 0, 0, 0), (5, 5, 4, 7, 3, 2, 2, 1, 5, 1, 1, 1, 0, 8, 3, 7, 3, 5, 2, 3, 4, 0, 2, 0, 1, 0), (6, 4, 7, 8, 3, 2, 3, 0, 2, 2, 3, 1, 0, 7, 8, 1, 2, 4, 1, 1, 0, 0, 2, 0, 0, 0), (7, 5, 5, 7, 6, 1, 2, 4, 2, 2, 1, 0, 0, 7, 5, 3, 2, 6, 4, 3, 1, 2, 1, 1, 0, 0), (8, 8, 2, 1, 7, 3, 3, 1, 5, 0, 2, 0, 0, 6, 4, 5, 1, 2, 2, 0, 1, 3, 3, 0, 0, 0), (3, 5, 3, 10, 6, 3, 2, 0, 3, 0, 0, 1, 0, 11, 5, 6, 3, 5, 1, 2, 3, 3, 1, 0, 0, 0), (4, 9, 2, 3, 6, 3, 0, 5, 1, 0, 0, 0, 0, 9, 1, 4, 6, 4, 2, 1, 0, 1, 0, 1, 0, 0), (4, 7, 2, 5, 3, 6, 1, 1, 1, 3, 2, 0, 0, 5, 5, 3, 3, 7, 4, 2, 0, 1, 0, 0, 0, 0), (7, 1, 6, 2, 6, 1, 1, 2, 4, 1, 0, 0, 0, 3, 3, 2, 4, 4, 4, 4, 0, 3, 1, 1, 0, 0), (7, 6, 7, 10, 3, 1, 1, 2, 2, 1, 0, 1, 0, 5, 8, 4, 2, 3, 1, 1, 0, 4, 0, 2, 1, 0), (9, 12, 4, 2, 3, 0, 2, 2, 4, 2, 0, 0, 0, 9, 0, 5, 2, 5, 0, 3, 1, 2, 3, 1, 2, 0), (9, 7, 8, 6, 9, 1, 2, 4, 0, 0, 1, 0, 0, 8, 3, 2, 5, 3, 1, 1, 3, 3, 1, 0, 0, 0), (2, 9, 6, 3, 4, 1, 2, 3, 3, 2, 0, 0, 0, 7, 6, 3, 2, 4, 2, 1, 0, 3, 3, 1, 0, 0), (7, 3, 3, 5, 4, 2, 1, 1, 3, 2, 1, 0, 0, 2, 6, 3, 2, 3, 2, 5, 2, 0, 2, 1, 2, 0), (5, 3, 5, 3, 1, 3, 2, 3, 2, 1, 1, 0, 0, 6, 5, 3, 1, 6, 4, 3, 2, 0, 1, 3, 0, 0), (11, 4, 3, 3, 2, 2, 0, 0, 0, 0, 1, 1, 0, 5, 5, 3, 5, 6, 4, 0, 0, 1, 0, 0, 0, 0), (4, 8, 3, 7, 4, 2, 2, 4, 6, 1, 2, 0, 0, 3, 4, 10, 3, 5, 1, 2, 3, 1, 0, 0, 1, 0), (5, 5, 5, 4, 5, 2, 0, 1, 2, 0, 2, 0, 0, 3, 6, 4, 7, 1, 1, 2, 3, 1, 0, 1, 1, 0), (5, 5, 4, 9, 3, 1, 1, 3, 5, 3, 3, 1, 0, 3, 6, 5, 2, 3, 1, 1, 1, 3, 1, 1, 1, 0), (5, 5, 6, 2, 1, 0, 1, 1, 2, 1, 0, 0, 0, 6, 8, 2, 2, 4, 1, 0, 2, 3, 1, 1, 1, 0), (6, 1, 4, 8, 1, 0, 1, 1, 0, 2, 0, 1, 0, 5, 5, 2, 4, 5, 3, 6, 2, 2, 1, 1, 1, 0), (6, 3, 5, 6, 2, 1, 3, 3, 2, 1, 1, 1, 0, 3, 3, 4, 2, 5, 0, 1, 2, 1, 1, 1, 0, 0), (7, 7, 9, 10, 3, 4, 4, 1, 10, 1, 0, 1, 0, 8, 11, 4, 4, 3, 4, 3, 1, 2, 1, 0, 0, 0), (5, 3, 3, 9, 4, 1, 2, 2, 2, 2, 1, 0, 0, 10, 3, 5, 2, 6, 6, 3, 1, 2, 2, 2, 1, 0), (9, 5, 6, 4, 2, 2, 0, 2, 3, 1, 1, 1, 0, 5, 6, 2, 2, 5, 0, 0, 1, 2, 3, 2, 0, 0), (6, 2, 8, 4, 2, 3, 4, 0, 1, 0, 0, 1, 0, 7, 5, 3, 2, 3, 4, 4, 3, 5, 0, 2, 1, 0), (11, 4, 5, 5, 6, 1, 3, 5, 3, 0, 1, 0, 0, 6, 6, 5, 3, 5, 3, 4, 1, 0, 2, 2, 0, 0), (4, 10, 2, 4, 4, 2, 2, 1, 4, 2, 1, 0, 0, 7, 4, 1, 0, 1, 0, 0, 0, 4, 1, 0, 0, 0), (8, 3, 6, 4, 1, 1, 5, 5, 0, 0, 0, 0, 0, 9, 4, 7, 5, 5, 2, 0, 3, 3, 3, 2, 1, 0), (7, 7, 8, 5, 5, 1, 1, 0, 3, 0, 1, 0, 0, 6, 3, 1, 3, 2, 4, 1, 1, 3, 1, 0, 0, 0), (10, 2, 6, 6, 6, 3, 4, 1, 1, 1, 0, 2, 0, 5, 6, 6, 1, 5, 0, 3, 1, 2, 3, 0, 0, 0), (8, 5, 5, 6, 7, 4, 3, 3, 4, 2, 2, 0, 0, 7, 2, 7, 0, 10, 2, 3, 2, 2, 4, 2, 0, 0), (3, 3, 3, 8, 4, 3, 2, 0, 0, 0, 0, 0, 0, 4, 3, 0, 2, 1, 1, 2, 1, 4, 2, 0, 0, 0), (6, 3, 3, 3, 8, 1, 3, 3, 3, 0, 0, 1, 0, 7, 1, 1, 4, 4, 1, 2, 0, 2, 2, 0, 0, 0), (6, 3, 4, 6, 3, 3, 1, 1, 0, 1, 2, 0, 0, 5, 5, 4, 3, 3, 3, 2, 0, 2, 4, 1, 1, 0), (3, 2, 2, 9, 9, 3, 0, 1, 0, 2, 1, 0, 0, 8, 1, 4, 4, 2, 0, 4, 2, 2, 0, 0, 0, 0), (5, 2, 3, 5, 5, 5, 2, 2, 0, 2, 1, 2, 0, 6, 3, 2, 3, 6, 3, 3, 3, 3, 3, 3, 0, 0), (6, 6, 4, 3, 4, 2, 0, 2, 3, 0, 2, 0, 0, 8, 9, 1, 4, 2, 1, 6, 1, 0, 0, 1, 0, 0), (8, 5, 3, 4, 7, 3, 3, 1, 3, 1, 0, 0, 0, 7, 4, 7, 3, 5, 2, 0, 1, 4, 3, 0, 1, 0), (5, 5, 8, 2, 4, 1, 2, 2, 1, 0, 0, 0, 0, 10, 4, 2, 3, 5, 3, 0, 0, 4, 1, 0, 0, 0), (7, 6, 4, 6, 3, 4, 0, 4, 4, 0, 0, 0, 0, 6, 9, 4, 0, 3, 2, 4, 1, 0, 2, 2, 0, 0), (5, 4, 6, 9, 9, 0, 0, 3, 6, 1, 1, 1, 0, 4, 5, 3, 2, 0, 0, 3, 1, 1, 6, 1, 1, 0), (8, 3, 8, 4, 2, 1, 1, 1, 3, 1, 0, 0, 0, 6, 3, 5, 3, 9, 2, 2, 1, 1, 4, 0, 2, 0), (6, 1, 6, 7, 7, 5, 2, 0, 2, 1, 1, 1, 0, 5, 7, 3, 0, 2, 3, 2, 1, 2, 1, 1, 0, 0), (4, 7, 6, 2, 4, 0, 3, 1, 5, 0, 1, 0, 0, 7, 5, 2, 0, 5, 0, 5, 0, 2, 3, 0, 0, 0), (9, 7, 3, 5, 9, 5, 2, 4, 3, 1, 0, 1, 0, 4, 2, 6, 4, 7, 4, 0, 4, 4, 3, 0, 0, 0), (5, 6, 7, 4, 2, 2, 2, 2, 2, 0, 0, 0, 0, 8, 6, 6, 4, 1, 1, 2, 2, 3, 4, 2, 1, 0), (7, 5, 1, 5, 6, 2, 2, 4, 3, 2, 1, 0, 0, 7, 4, 7, 3, 3, 1, 4, 0, 1, 0, 0, 0, 0), (7, 5, 4, 5, 6, 2, 5, 1, 5, 0, 0, 2, 0, 3, 4, 3, 1, 5, 0, 2, 3, 3, 1, 0, 0, 0), (5, 2, 3, 5, 5, 3, 2, 2, 1, 1, 0, 0, 0, 7, 2, 4, 3, 3, 2, 4, 6, 1, 4, 0, 0, 0), (12, 7, 5, 4, 3, 0, 3, 0, 0, 1, 0, 0, 0, 4, 0, 2, 5, 1, 2, 3, 1, 2, 1, 1, 0, 0), (3, 5, 5, 6, 2, 4, 3, 2, 2, 0, 0, 1, 0, 3, 10, 2, 2, 2, 5, 2, 5, 4, 1, 2, 0, 0), (2, 0, 6, 2, 6, 2, 3, 2, 5, 0, 0, 1, 0, 2, 5, 6, 2, 2, 2, 0, 1, 1, 1, 2, 1, 0), (8, 4, 2, 7, 6, 0, 2, 1, 2, 0, 1, 1, 0, 8, 2, 5, 2, 4, 6, 3, 2, 3, 2, 1, 0, 0), (5, 3, 6, 5, 1, 2, 1, 1, 0, 0, 1, 1, 0, 3, 6, 3, 2, 7, 2, 1, 2, 0, 6, 0, 0, 0), (2, 3, 8, 5, 6, 0, 1, 1, 0, 3, 1, 0, 0, 6, 5, 1, 1, 4, 4, 3, 0, 2, 2, 0, 0, 0), (5, 4, 4, 6, 3, 0, 0, 5, 3, 1, 0, 0, 0, 6, 1, 4, 2, 1, 3, 1, 0, 0, 1, 0, 0, 0), (4, 6, 4, 12, 4, 1, 1, 2, 1, 0, 1, 1, 0, 9, 6, 2, 1, 4, 0, 1, 0, 4, 4, 1, 0, 0), (3, 3, 7, 3, 3, 1, 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passenger_arriving_acc = ((2, 4, 1, 3, 2, 0, 2, 2, 1, 1, 1, 0, 0, 1, 2, 2, 1, 3, 2, 2, 0, 2, 1, 1, 1, 0), (6, 5, 5, 7, 3, 1, 3, 4, 2, 2, 2, 0, 0, 5, 6, 5, 4, 9, 2, 3, 1, 2, 2, 1, 2, 0), (8, 8, 8, 7, 5, 1, 5, 5, 3, 2, 2, 0, 0, 6, 13, 8, 9, 10, 4, 6, 1, 4, 2, 1, 2, 0), (10, 12, 10, 11, 7, 2, 8, 7, 6, 2, 2, 0, 0, 9, 18, 11, 13, 14, 6, 8, 3, 6, 2, 1, 2, 0), (15, 15, 18, 14, 9, 2, 9, 9, 10, 3, 4, 0, 0, 11, 24, 12, 15, 18, 8, 10, 4, 7, 4, 1, 2, 0), (19, 17, 21, 18, 11, 3, 10, 12, 12, 4, 5, 1, 0, 12, 29, 13, 16, 20, 11, 11, 6, 11, 6, 2, 3, 0), (25, 18, 25, 22, 13, 4, 12, 15, 12, 4, 7, 1, 0, 20, 34, 16, 18, 25, 13, 14, 7, 13, 6, 2, 3, 0), (29, 23, 29, 26, 17, 6, 15, 15, 14, 4, 8, 1, 0, 26, 38, 18, 22, 29, 17, 15, 9, 14, 7, 3, 5, 0), (32, 29, 30, 31, 17, 6, 16, 16, 15, 4, 8, 2, 0, 33, 42, 20, 31, 33, 18, 21, 10, 16, 8, 3, 5, 0), (39, 36, 32, 35, 20, 8, 19, 20, 16, 6, 8, 3, 0, 37, 46, 23, 36, 37, 22, 22, 11, 16, 10, 5, 5, 0), (43, 44, 37, 37, 21, 9, 22, 23, 18, 7, 8, 4, 0, 39, 48, 27, 37, 41, 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'\nparameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html\n'
entropy = 8991598675325360468762009371570610170
child_seed_index = (1, 74) |
def findReplaceString(s, indexes, sources, targets):
dupe_s = s[:]
for i in range(len(indexes)):
curr = s[indexes[i]]
if curr == sources[i][0]:
print(curr)
dupe_s = dupe_s.replace(sources[i], targets[i])
print(dupe_s)
return dupe_s | def find_replace_string(s, indexes, sources, targets):
dupe_s = s[:]
for i in range(len(indexes)):
curr = s[indexes[i]]
if curr == sources[i][0]:
print(curr)
dupe_s = dupe_s.replace(sources[i], targets[i])
print(dupe_s)
return dupe_s |
#
# Copyright (C) 2020 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
layout = BoolScalar("layout", False) # NHWC
# This test makes sure that executing DEPTHWISE_CONV_2D results in a failure when
# the first dimension of the filter tensor is not 1.
i1 = Input("op1", "TENSOR_FLOAT32", "{1, 3, 3, 2}")
f1 = Parameter("op2", "TENSOR_FLOAT32", "{2, 2, 2, 4}", [0.] * (2 * 2 * 2 * 4))
b1 = Parameter("op3", "TENSOR_FLOAT32", "{4}", [0.] * 4)
o1 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 4}")
Model().Operation("DEPTHWISE_CONV_2D", i1, f1, b1, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o1)
# Additional data type
quant8 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
f1: ("TENSOR_QUANT8_ASYMM", 0.01, 0),
b1: ("TENSOR_INT32", 0.005, 0),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
})
channelQuant8 = DataTypeConverter().Identify({
i1: ("TENSOR_QUANT8_ASYMM", 0.5, 0),
f1: ("TENSOR_QUANT8_SYMM_PER_CHANNEL", 0, 0,
SymmPerChannelQuantParams(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])),
b1: ("TENSOR_INT32", 0.0, 0,
SymmPerChannelQuantParams(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)),
o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
})
# Instantiate an example
example = Example({
i1: [0.] * (1 * 3 * 3 * 2),
o1: [0.] * (1 * 2 * 2 * 4)
}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", channelQuant8,
quant8).ExpectFailure()
| layout = bool_scalar('layout', False)
i1 = input('op1', 'TENSOR_FLOAT32', '{1, 3, 3, 2}')
f1 = parameter('op2', 'TENSOR_FLOAT32', '{2, 2, 2, 4}', [0.0] * (2 * 2 * 2 * 4))
b1 = parameter('op3', 'TENSOR_FLOAT32', '{4}', [0.0] * 4)
o1 = output('op4', 'TENSOR_FLOAT32', '{1, 2, 2, 4}')
model().Operation('DEPTHWISE_CONV_2D', i1, f1, b1, 0, 0, 0, 0, 1, 1, 2, 0, layout).To(o1)
quant8 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), f1: ('TENSOR_QUANT8_ASYMM', 0.01, 0), b1: ('TENSOR_INT32', 0.005, 0), o1: ('TENSOR_QUANT8_ASYMM', 0.1, 0)})
channel_quant8 = data_type_converter().Identify({i1: ('TENSOR_QUANT8_ASYMM', 0.5, 0), f1: ('TENSOR_QUANT8_SYMM_PER_CHANNEL', 0, 0, symm_per_channel_quant_params(channelDim=3, scales=[0.01, 0.005, 0.01, 0.005])), b1: ('TENSOR_INT32', 0.0, 0, symm_per_channel_quant_params(channelDim=0, scales=[0.005, 0.0025, 0.005, 0.0025], hide=True)), o1: ('TENSOR_QUANT8_ASYMM', 0.1, 0)})
example = example({i1: [0.0] * (1 * 3 * 3 * 2), o1: [0.0] * (1 * 2 * 2 * 4)}).AddNchw(i1, o1, layout).AddVariations('relaxed', 'float16', channelQuant8, quant8).ExpectFailure() |
class twitter_nlp_toolkit:
def __init__(self):
print("twitter_nlp_toolkit initialized")
| class Twitter_Nlp_Toolkit:
def __init__(self):
print('twitter_nlp_toolkit initialized') |
#difference between a given number and 17, if the number is greater than 17 return double the absolute difference.
x = int(input('Enter the number:'))
y = 17
n = y-x
if x > 17:
print(abs(n)*2)
else:
print(n) | x = int(input('Enter the number:'))
y = 17
n = y - x
if x > 17:
print(abs(n) * 2)
else:
print(n) |
def compare(physical_inventory, digital_inventory):
if physical_inventory == digital_inventory:
return {}
discrepencies = {}
for item, quantity in digital_inventory.items():
if item not in physical_inventory:
discrepencies[item] = {"physical":None,"digital":quantity}
for item, quantity in physical_inventory.items():
if item not in digital_inventory:
discrepencies[item] = {"physical":quantity,"digital":None}
elif digital_inventory[item] != quantity:
discrepencies[item] = {"physical":quantity,"digital":digital_inventory[item]}
return discrepencies | def compare(physical_inventory, digital_inventory):
if physical_inventory == digital_inventory:
return {}
discrepencies = {}
for (item, quantity) in digital_inventory.items():
if item not in physical_inventory:
discrepencies[item] = {'physical': None, 'digital': quantity}
for (item, quantity) in physical_inventory.items():
if item not in digital_inventory:
discrepencies[item] = {'physical': quantity, 'digital': None}
elif digital_inventory[item] != quantity:
discrepencies[item] = {'physical': quantity, 'digital': digital_inventory[item]}
return discrepencies |
print(type(1))
print(type(1.1))
print(type('texto'))
print(type(False))
print(type(True))
| print(type(1))
print(type(1.1))
print(type('texto'))
print(type(False))
print(type(True)) |
app_host = '127.0.0.1'
app_port = 9090
app_desc = 'Local Server'
app_title = 'API Template'
app_key = 'AWEREG#Q$^#!%^QEH$##%'
admin_id = 'admin'
admin_pw = 'w4b35ya253vu5e6n'
db_type = 'mysql+pymysql'
db_host = 'localhost'
db_port = '33066'
db_name = 'hrms'
db_user = 'root'
db_pass = 'fnxm1qazXSW@' | app_host = '127.0.0.1'
app_port = 9090
app_desc = 'Local Server'
app_title = 'API Template'
app_key = 'AWEREG#Q$^#!%^QEH$##%'
admin_id = 'admin'
admin_pw = 'w4b35ya253vu5e6n'
db_type = 'mysql+pymysql'
db_host = 'localhost'
db_port = '33066'
db_name = 'hrms'
db_user = 'root'
db_pass = 'fnxm1qazXSW@' |
s = float(input('digite o salario do funcionario? R$'))
if s <= 1250.0:
c1 = (s * 15 / 100) + s
print('agora o funcionario vai ter o reajuste de 15%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c1))
else:
c2 = (s * 10 / 100) + s
print('agora o fucionario vai ter o reajuste de 10%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c2))
| s = float(input('digite o salario do funcionario? R$'))
if s <= 1250.0:
c1 = s * 15 / 100 + s
print('agora o funcionario vai ter o reajuste de 15%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c1))
else:
c2 = s * 10 / 100 + s
print('agora o fucionario vai ter o reajuste de 10%\nentao o salario dele que era R${:.2f}, passa a ser de R${:.2f}'.format(s, c2)) |
def name(firstname,lastname):
return f"My name is {firstname} {lastname}"
print(name("Atherv", "Patil"))
| def name(firstname, lastname):
return f'My name is {firstname} {lastname}'
print(name('Atherv', 'Patil')) |
# -*- coding: utf-8 -*-
def view_grid(grid_space):
for row in range(len(grid_space)):
for column in range(len(grid_space[0])):
print (grid_space[row][column],end = ' '),
if column == 2 or column == 5:
print('|', end=' ')
if row == 2 or row == 5:
print('')
print('-'*6+"+"+'-'*7+"+"+'-'*7,end ='')
print ('')
#check to see if an input would be valid
#check row, column, and square
def valid_input(guess,loc,grid_space):
#loc is a tuple returned from the zero_loc function
#row id-> loc[0] ; column id -> loc[1]
#check row
for num in range(len(grid_space)):
if guess == grid_space[loc[0]][num]:
return False
#check column
for num in range(len(grid_space[0])):
if guess == grid_space[num][loc[1]]:
return False
#check square
#I dont like the square check, there should be a cleaner way, but it works
#this will slow down the algorithm
subsquare_elements =[]
#creates the list for the items in each subsquare
#map is above
for row in range(len(grid_space)):
if loc[0]//3 == row//3:
for column in range(len(grid_space[0])):
if column//3 == loc[1]//3:
subsquare_elements.append(grid_space[row][column])
#if the item is in the list, then it is in the subsquare
if guess in subsquare_elements:
return False
#if its not in the row, column, or susquare, then it is a valid input
return True
def zero_loc(grid_space):
for row in range(len(grid_space)):
for col in range(len(grid_space[0])):
if grid_space[row][col] == 0:
return (row,col)
return False
def solve(grid_space):
#if there are no zeros:
if zero_loc(grid_space) == False:
#then the puzzle is soved
return True
#otherwise, move into the solving algorithm
else:
#unpack the tuple
row,col = zero_loc(grid_space)
#start trying #1-9
for guess in range(1,len(grid_space)+1):
if valid_input(guess,(row,col),grid_space):
#if a valid number is found, replace it in the grid
grid_space[row][col] = guess
#call this function again and see if it is True(solved)
if solve(grid_space):
return True
#if not then reset and move onto the next value in the guess for loop
grid_space[row][col] = 0
if __name__ == "__main__":
print('NO')
| def view_grid(grid_space):
for row in range(len(grid_space)):
for column in range(len(grid_space[0])):
(print(grid_space[row][column], end=' '),)
if column == 2 or column == 5:
print('|', end=' ')
if row == 2 or row == 5:
print('')
print('-' * 6 + '+' + '-' * 7 + '+' + '-' * 7, end='')
print('')
def valid_input(guess, loc, grid_space):
for num in range(len(grid_space)):
if guess == grid_space[loc[0]][num]:
return False
for num in range(len(grid_space[0])):
if guess == grid_space[num][loc[1]]:
return False
subsquare_elements = []
for row in range(len(grid_space)):
if loc[0] // 3 == row // 3:
for column in range(len(grid_space[0])):
if column // 3 == loc[1] // 3:
subsquare_elements.append(grid_space[row][column])
if guess in subsquare_elements:
return False
return True
def zero_loc(grid_space):
for row in range(len(grid_space)):
for col in range(len(grid_space[0])):
if grid_space[row][col] == 0:
return (row, col)
return False
def solve(grid_space):
if zero_loc(grid_space) == False:
return True
else:
(row, col) = zero_loc(grid_space)
for guess in range(1, len(grid_space) + 1):
if valid_input(guess, (row, col), grid_space):
grid_space[row][col] = guess
if solve(grid_space):
return True
grid_space[row][col] = 0
if __name__ == '__main__':
print('NO') |
"""
dp[i][k] := minimum difficulty of a k days job schedule, D[:i].
maxInRange[i][j] := max(D[i:j+1])
"""
class Solution(object):
def minDifficulty(self, D, K):
if not D or not K or K>len(D): return -1
N = len(D)
maxInRange = [[0 for _ in xrange(N)] for _ in xrange(N)]
for i in xrange(N): maxInRange[i][i] = D[i]
for l in xrange(2, N+1):
for i in xrange(N):
j = i+l-1
if j>=N: continue
maxInRange[i][j] = max(maxInRange[i+1][j-1], D[i], D[j])
dp = [[float('inf') for _ in xrange(K+1)] for _ in xrange(N+1)]
dp[0][0] = 0
for i in xrange(1, N+1):
for k in xrange(1, min(i, K)+1):
for j in xrange(k, i+1):
dp[i][k] = min(dp[i][k], dp[j-1][k-1]+maxInRange[j-1][i-1])
#if you don't pre-calculate maxInRange
#dp[i][k] = min(dp[i][k], dp[j-1][k-1]+max(D[j-1:i]))
return dp[N][K] | """
dp[i][k] := minimum difficulty of a k days job schedule, D[:i].
maxInRange[i][j] := max(D[i:j+1])
"""
class Solution(object):
def min_difficulty(self, D, K):
if not D or not K or K > len(D):
return -1
n = len(D)
max_in_range = [[0 for _ in xrange(N)] for _ in xrange(N)]
for i in xrange(N):
maxInRange[i][i] = D[i]
for l in xrange(2, N + 1):
for i in xrange(N):
j = i + l - 1
if j >= N:
continue
maxInRange[i][j] = max(maxInRange[i + 1][j - 1], D[i], D[j])
dp = [[float('inf') for _ in xrange(K + 1)] for _ in xrange(N + 1)]
dp[0][0] = 0
for i in xrange(1, N + 1):
for k in xrange(1, min(i, K) + 1):
for j in xrange(k, i + 1):
dp[i][k] = min(dp[i][k], dp[j - 1][k - 1] + maxInRange[j - 1][i - 1])
return dp[N][K] |
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 23 17:32:12 2019
@author: giles
"""
'''
Question 1
Can you remember how to check if a key exists in a dictionary?
Using the capitals dictionary below write some code to ask the user to input
a country, then check to see if that country is in the dictionary and if it is
print the capital. If not tell the user it's not there.
'''
#capitals = {'France':'Paris','Spain':'Madrid','United Kingdom':'London',
# 'India':'New Delhi','United States':'Washington DC','Italy':'Rome',
# 'Denmark':'Copenhagen','Germany':'Berlin','Greece':'Athens',
# 'Bulgaria':'Sofia','Ireland':'Dublin','Mexico':'Mexico City'
# }
#
#user_input = input('Which country would you like to check?:> ')
#
#user_input = user_input.lower()
#
#
#
#while ('united kingdom' not in user_input and not user_input.isalpha()):
# if user_input == 'united states':
# break
# print('You must input a string')
# user_input = input('Which country would you like to check?:> ')
#
#user_input = user_input.title()
##print(user_input)
#if user_input in capitals:
# print(f'The capital of {user_input} is {capitals[user_input]}')
#else:
# print('No data available')
'''
Question 2
Write python code that will create a dictionary containing key, value pairs
that represent the first 12 values of the Fibonacci sequence
i.e {1:0,2:1,3:1,4:2,5:3,6:5,7:8 etc}
'''
#n = 12
#a = 0
#b = 1
#d = dict()
#for i in range(1,n+1):
# d[i] = a
# a,b = b,a+b
#print(d)
'''
Question 3
Create a dictionary to represent the open, high, low, close share price data
for 4 imaginary companies. 'Python DS', 'PythonSoft', 'Pythazon' and 'Pybook'
the 4 sets of data are [12.87, 13.23, 11.42, 13.10],[23.54,25.76,21.87,22.33],
[98.99,102.34,97.21,100.065],[203.63,207.54,202.43,205.24]
'''
#companies = ['Python DS', 'PythonSoft', 'Pythazon', 'Pybook']
#key_names = ['Open','High','Low','Close']
#prices = [[12.87, 13.23, 11.42, 13.10],[23.54,25.76,21.87,22.33],
#[98.99,102.34,97.21,100.065],[203.63,207.54,202.43,205.24]]
#
#d_1 = {}
#
#for i in range(len(key_names)):
# d_1[companies[i]] = dict(zip(key_names,prices[i]))
#
#print(d_1)
'''
Question 4
Go to the python module web page and find a module that you like. Play with it,
read the documentation and try to implement it.
'''
## Days until holiday!
#import datetime
#
#today = datetime.date.today()
#
#print(f"Today's date is {today}")
#holiday = datetime.date(2019,12,25)
#delta = holiday - today
#
#print(f"Just {delta.days} days until the holidays!")
'''
Question 5
Create a dictoinary containing as keys the letters from A-Z, the values should
be random numbers created from the random module. Can you draw a bar graph of
the results?
'''
#import random
#
#keys = 'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
#
#d = dict()
#
#for letter in keys:
# d[letter] = random.randint(1,100)
#
#print(d)
#
#import matplotlib.pyplot as plt
#
#x,y = zip(*d.items())
#
#plt.bar(x,y)
'''
Question 6
Create a dictionary containing 4 suits of 13 cards
['Ace','2','3','4','5','6','7','8','9','10','Jack','Queen','King']
'''
suits = ['Spades','Clubs','Hearts','Diamonds']
rank = ['Ace','2','3','4','5','6','7','8','9','10','Jack','Queen','King']
deck = dict()
for i in suits:
deck[i] = rank
print(deck)
| """
Created on Wed Oct 23 17:32:12 2019
@author: giles
"""
"\nQuestion 1\nCan you remember how to check if a key exists in a dictionary?\nUsing the capitals dictionary below write some code to ask the user to input\na country, then check to see if that country is in the dictionary and if it is\nprint the capital. If not tell the user it's not there.\n"
'\nQuestion 2\nWrite python code that will create a dictionary containing key, value pairs\nthat represent the first 12 values of the Fibonacci sequence \ni.e {1:0,2:1,3:1,4:2,5:3,6:5,7:8 etc} \n'
"\nQuestion 3\nCreate a dictionary to represent the open, high, low, close share price data \nfor 4 imaginary companies. 'Python DS', 'PythonSoft', 'Pythazon' and 'Pybook'\nthe 4 sets of data are [12.87, 13.23, 11.42, 13.10],[23.54,25.76,21.87,22.33],\n[98.99,102.34,97.21,100.065],[203.63,207.54,202.43,205.24]\n"
'\nQuestion 4\nGo to the python module web page and find a module that you like. Play with it, \nread the documentation and try to implement it.\n'
'\nQuestion 5\nCreate a dictoinary containing as keys the letters from A-Z, the values should \nbe random numbers created from the random module. Can you draw a bar graph of \nthe results?\n'
"\nQuestion 6\nCreate a dictionary containing 4 suits of 13 cards \n['Ace','2','3','4','5','6','7','8','9','10','Jack','Queen','King']\n"
suits = ['Spades', 'Clubs', 'Hearts', 'Diamonds']
rank = ['Ace', '2', '3', '4', '5', '6', '7', '8', '9', '10', 'Jack', 'Queen', 'King']
deck = dict()
for i in suits:
deck[i] = rank
print(deck) |
n = int(input())
sl = {}
for i in range(n):
s = input()
if not(s in sl):
sl[s] = 0
else:
sl[s] += 1
ans = []
s_max = max(sl.values())
for key in sl:
if sl[key] == s_max:
ans.append(key)
ans.sort()
for a in ans:
print(a)
| n = int(input())
sl = {}
for i in range(n):
s = input()
if not s in sl:
sl[s] = 0
else:
sl[s] += 1
ans = []
s_max = max(sl.values())
for key in sl:
if sl[key] == s_max:
ans.append(key)
ans.sort()
for a in ans:
print(a) |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__title__ = 'lasotuvi'
__version__ = '1.0.1'
__author__ = 'doanguyen'
__author_email__ = 'dungnv2410 at gmail.com'
__license__ = 'MIT License'
| __title__ = 'lasotuvi'
__version__ = '1.0.1'
__author__ = 'doanguyen'
__author_email__ = 'dungnv2410 at gmail.com'
__license__ = 'MIT License' |
#Robot in a grid. Imagine a robot sitting in the upper left corner of a grid
#with r rows and c columns. The robot can only move in two directions,
#right and down, but certain cells are "off limits" such that the robot
#cannot step on them. Design an algorithm to find a path for the robot
#from the top left to the bottom right.
def has_path(n, m, clear):
if n < 0 or n >= len(clear) or m < 0 or m >= len(clear[0]):
return False
if n == 0 and m == 0 and clear[n][m]:
return True
return clear[n, m] and (has_path(n, m-1, clear) or has_path(n-1, m, clear)) | def has_path(n, m, clear):
if n < 0 or n >= len(clear) or m < 0 or (m >= len(clear[0])):
return False
if n == 0 and m == 0 and clear[n][m]:
return True
return clear[n, m] and (has_path(n, m - 1, clear) or has_path(n - 1, m, clear)) |
#!/usr/bin/env python3.7
# -*- coding: utf-8 -*-
class Connection:
"""
A representation for the connection between the camera and the host
"""
def __init__(self, api, api_requests):
self._api = api
self._requests = api_requests
def get_connection_info(self) -> str:
"""
Obtain information about the connection
between the host and the device /
the router and the device
and other network stuff
"""
return self._api.request("POST", data=self._requests.network_interface_get)["LocalLink"]
def get_ports_services(self) -> dict:
"""
Obtain information about which services run on
which ports on the device specified
"""
return self._api.request("POST", data=self._requests.open_ports_services_get)["NetPort"]
| class Connection:
"""
A representation for the connection between the camera and the host
"""
def __init__(self, api, api_requests):
self._api = api
self._requests = api_requests
def get_connection_info(self) -> str:
"""
Obtain information about the connection
between the host and the device /
the router and the device
and other network stuff
"""
return self._api.request('POST', data=self._requests.network_interface_get)['LocalLink']
def get_ports_services(self) -> dict:
"""
Obtain information about which services run on
which ports on the device specified
"""
return self._api.request('POST', data=self._requests.open_ports_services_get)['NetPort'] |
'''
Given the root of a binary tree, return the bottom-up level order traversal of its nodes' values. (i.e., from left to right, level by level from leaf to root).
'''
# RECURSION
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object):
def driver(self, node, res, level):
if not node:
return res
if len(res) == level:
res.append([])
res[level].append(node.val)
if node.left:
self.driver(node.left, res, level + 1)
if node.right:
self.driver(node.right, res, level + 1)
def levelOrderBottom(self, root):
res = []
self.driver(root, res, 0)
return res[::-1]
# ITERATIVE (BFS)
# Definition for a binary tree node.
# class TreeNode(object):
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution(object):
def levelOrderBottom(self, root):
res = []
next_level = deque([root])
while root and next_level:
curr_level = next_level
next_level = deque()
res.append([])
for node in curr_level:
# append the current node value
res[-1].append(node.val)
# process child nodes for the next level
if node.left:
next_level.append(node.left)
if node.right:
next_level.append(node.right)
return res[::-1]
| """
Given the root of a binary tree, return the bottom-up level order traversal of its nodes' values. (i.e., from left to right, level by level from leaf to root).
"""
class Solution(object):
def driver(self, node, res, level):
if not node:
return res
if len(res) == level:
res.append([])
res[level].append(node.val)
if node.left:
self.driver(node.left, res, level + 1)
if node.right:
self.driver(node.right, res, level + 1)
def level_order_bottom(self, root):
res = []
self.driver(root, res, 0)
return res[::-1]
class Solution(object):
def level_order_bottom(self, root):
res = []
next_level = deque([root])
while root and next_level:
curr_level = next_level
next_level = deque()
res.append([])
for node in curr_level:
res[-1].append(node.val)
if node.left:
next_level.append(node.left)
if node.right:
next_level.append(node.right)
return res[::-1] |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Exception classes used by filters."""
class ImageErrors(Exception):
"""The base class for filter errors."""
pass
class NotSquareImage(ImageErrors):
"""The image not have NxN dimension"""
pass
class DimensionNotIsPowerTwo(ImageErrors):
""""The dimension n not is power two"""
pass
class DepthType(ImageErrors):
"""The depth not is an int value"""
pass
class DepthInconsistent(ImageErrors):
"""The filtering depth was greater than the image dimension base."""
pass
class DepthNegative(ImageErrors):
"""The filtering depth was greater than the height of the automaton tree"""
pass | """Exception classes used by filters."""
class Imageerrors(Exception):
"""The base class for filter errors."""
pass
class Notsquareimage(ImageErrors):
"""The image not have NxN dimension"""
pass
class Dimensionnotispowertwo(ImageErrors):
""""The dimension n not is power two"""
pass
class Depthtype(ImageErrors):
"""The depth not is an int value"""
pass
class Depthinconsistent(ImageErrors):
"""The filtering depth was greater than the image dimension base."""
pass
class Depthnegative(ImageErrors):
"""The filtering depth was greater than the height of the automaton tree"""
pass |
# Print out numbers from 1 to 100 (including 100).
# But, instead of printing multiples of 3, print "Fizz"
# Instead of printing multiples of 5, print "Buzz"
# Instead of printing multiples of both 3 and 5, print "FizzBuzz".
for number in range(1, 101):
if number % 3 == 0 and number % 5 == 0:
print("FizzBuzz")
elif number % 3 == 0:
print("Fizz")
elif number % 5 == 0:
print("Buzz")
else:
print(number)
# Usig a while loop
counter = 1
while counter < 101:
if (counter % 3 == 0) and (counter % 5 == 0):
print('FizzBuzz')
elif counter % 5 == 0:
print('Buzz')
elif counter % 3 == 0:
print('Fizz')
else:
print(counter)
counter += 1
| for number in range(1, 101):
if number % 3 == 0 and number % 5 == 0:
print('FizzBuzz')
elif number % 3 == 0:
print('Fizz')
elif number % 5 == 0:
print('Buzz')
else:
print(number)
counter = 1
while counter < 101:
if counter % 3 == 0 and counter % 5 == 0:
print('FizzBuzz')
elif counter % 5 == 0:
print('Buzz')
elif counter % 3 == 0:
print('Fizz')
else:
print(counter)
counter += 1 |
# Stackmaps don't get emitted for code that's dead even if it exists in IR:
class C(object):
pass
c = C()
if 1 == 0:
c.x = 1
| class C(object):
pass
c = c()
if 1 == 0:
c.x = 1 |
class FlipFlop:
GATE_LVL = False
def __init__(self, clock, input, name="FlipFlop"):
self.clock = clock
self.input = input
self.output = None
self.outputp = None
self.output_star = None
self.name = name
self.build()
def logic(self):
pass
def build(self):
pass
def set_input(self, input):
self.input = input
self.build()
def set_clock(self, clock):
self.clock = clock
self.build()
def set(self):
self.output.output = 1
self.outputp.output = 0
def reset(self):
self.output.output = 0
self.outputp.output = 1
def q(self):
return self.output.output
def __repr__(self):
return f"{self.name}: {self.output}"
| class Flipflop:
gate_lvl = False
def __init__(self, clock, input, name='FlipFlop'):
self.clock = clock
self.input = input
self.output = None
self.outputp = None
self.output_star = None
self.name = name
self.build()
def logic(self):
pass
def build(self):
pass
def set_input(self, input):
self.input = input
self.build()
def set_clock(self, clock):
self.clock = clock
self.build()
def set(self):
self.output.output = 1
self.outputp.output = 0
def reset(self):
self.output.output = 0
self.outputp.output = 1
def q(self):
return self.output.output
def __repr__(self):
return f'{self.name}: {self.output}' |
def SelectionSort(array):
# Traverse through all array elements
for i in range(len(array)):
# Find the minimum element in remaining
# unsorted array
min_idx = i
for j in range(i+1, len(array)):
if array[min_idx] > array[j]:
min_idx = j
# Swap the found minimum element with
# the first element
array[i], array[min_idx] = array[min_idx], array[i]
return array
array = [24, 6, 2, 9, 0, 7]
print(SelectionSort(array)) | def selection_sort(array):
for i in range(len(array)):
min_idx = i
for j in range(i + 1, len(array)):
if array[min_idx] > array[j]:
min_idx = j
(array[i], array[min_idx]) = (array[min_idx], array[i])
return array
array = [24, 6, 2, 9, 0, 7]
print(selection_sort(array)) |
def yes_no_bool(val):
if val.lower() == 'yes':
return True
elif val.lower() == 'no':
return False
else:
raise ValueError(
'Cannot translate "{}" to bool'.format(val))
| def yes_no_bool(val):
if val.lower() == 'yes':
return True
elif val.lower() == 'no':
return False
else:
raise value_error('Cannot translate "{}" to bool'.format(val)) |
# Calculate distance of 1056 feet in yard and miles.
# 1 mile = 1760 yards and 1 yard = 3 feet.
feet = 1056
yard = feet / 3
print("1056 feet is",yard,"yards")
mile = yard / 1760
print("1056 feet is",mile,"miles") | feet = 1056
yard = feet / 3
print('1056 feet is', yard, 'yards')
mile = yard / 1760
print('1056 feet is', mile, 'miles') |
# -----
model_path_asr= 'models/asr/'
processor_path_asr='models/asr/'
device_asr = 'cuda'
min_len_sec=100
max_len_sec=150
# -----
model_path_punctuation='models/v1_4lang_q.pt'
step_punctuation=30
# -----
model_path_summarization= 'models/sum/'
tokenizer_path_summarization='models/sum/'
max_length_sum=50
step_sum=450
device_summarization='cpu'
# -----
model_path_Q_A='models/Q_A/'
tokenizer_Q_A='models/Q_A/'
max_length_step_Q_A = 250
device_Q_A='cpu'
# -----
| model_path_asr = 'models/asr/'
processor_path_asr = 'models/asr/'
device_asr = 'cuda'
min_len_sec = 100
max_len_sec = 150
model_path_punctuation = 'models/v1_4lang_q.pt'
step_punctuation = 30
model_path_summarization = 'models/sum/'
tokenizer_path_summarization = 'models/sum/'
max_length_sum = 50
step_sum = 450
device_summarization = 'cpu'
model_path_q_a = 'models/Q_A/'
tokenizer_q_a = 'models/Q_A/'
max_length_step_q_a = 250
device_q_a = 'cpu' |
# detection params
detector_path = 'retina_r50/'
box_score_thresh = 0.8
img_target_size = 480
img_max_size = 640
nms_thresh = 0.4
| detector_path = 'retina_r50/'
box_score_thresh = 0.8
img_target_size = 480
img_max_size = 640
nms_thresh = 0.4 |
def main():
n = int(input())
player_hp = [11 + i for i in range(n)]
i = 0
out = 0
out_indexes = []
while out < len(player_hp) - 1:
if player_hp[i] == 0:
i += 1
if i == len(player_hp):
i = 0
continue
hp = player_hp[target(player_hp, i)] - player_hp[i]
if hp <= 0:
out += 1
print(out)
print(player_hp)
if out == 1:
out_indexes.append(target(player_hp, i))
if out == 10:
out_indexes.append(target(player_hp, i))
player_hp[target(player_hp, i)] = max(0, hp)
i += 1
if i == len(player_hp):
i = 0
print(out_indexes[0] + 1)
print(out_indexes[1])
if i == 0:
print(len(player_hp))
else:
print(i - 1)
def target(list, index):
# Gets the maxium
i = index + 1
max_index = i + 1
while i < len(list) + index:
if list[i % len(list)] > list[max_index % len(list)]:
max_index = i
i += 1
if max_index % len(list) == index:
print("fuik1")
return max_index % len(list)
if __name__ == "__main__":
main()
| def main():
n = int(input())
player_hp = [11 + i for i in range(n)]
i = 0
out = 0
out_indexes = []
while out < len(player_hp) - 1:
if player_hp[i] == 0:
i += 1
if i == len(player_hp):
i = 0
continue
hp = player_hp[target(player_hp, i)] - player_hp[i]
if hp <= 0:
out += 1
print(out)
print(player_hp)
if out == 1:
out_indexes.append(target(player_hp, i))
if out == 10:
out_indexes.append(target(player_hp, i))
player_hp[target(player_hp, i)] = max(0, hp)
i += 1
if i == len(player_hp):
i = 0
print(out_indexes[0] + 1)
print(out_indexes[1])
if i == 0:
print(len(player_hp))
else:
print(i - 1)
def target(list, index):
i = index + 1
max_index = i + 1
while i < len(list) + index:
if list[i % len(list)] > list[max_index % len(list)]:
max_index = i
i += 1
if max_index % len(list) == index:
print('fuik1')
return max_index % len(list)
if __name__ == '__main__':
main() |
#TODOS LOS METODOS QUE EXISTEN PARA HACER COMENTARIOS EN PYTHON
#ESTE ES UN EJEMPLO DE COMENTARIO
print('COMETARIOS EN EL CODIGO')
"ESTE ES OTRO EJEMPLO DE COMO HACER COMENTARIOS"
'''HOLA
ESTO ES EJEMPLO DE COMO HACER
COMENTARIOS MULTILINEA
'''
| print('COMETARIOS EN EL CODIGO')
'ESTE ES OTRO EJEMPLO DE COMO HACER COMENTARIOS'
'HOLA\nESTO ES EJEMPLO DE COMO HACER\nCOMENTARIOS MULTILINEA\n' |
#-*-coding:utf-8-*-
# Create dummy secrey key so we can use sessions
SECRET_KEY = '123456790'
# Create in-memory database
DATABASE_FILE = '../hhlyDevops_db.sqlite'
SQLALCHEMY_DATABASE_URI = 'sqlite:///' + DATABASE_FILE
SQLALCHEMY_ECHO = True
SQLALCHEMY_TRACK_MODIFICATIONS = True
SQLALCHEMY_COMMIT_ON_TEARDOWN = True
#flask-bootstrap config
BOOTSTRAP_USE_MINIFIED = True
BOOTSTRAP_SERVE_LOCAL = True #not default
BOOTSTRAP_CDN_FORCE_SSL = True
BOOTSTRAP_QUERYSTRING_REVVING = True
| secret_key = '123456790'
database_file = '../hhlyDevops_db.sqlite'
sqlalchemy_database_uri = 'sqlite:///' + DATABASE_FILE
sqlalchemy_echo = True
sqlalchemy_track_modifications = True
sqlalchemy_commit_on_teardown = True
bootstrap_use_minified = True
bootstrap_serve_local = True
bootstrap_cdn_force_ssl = True
bootstrap_querystring_revving = True |
num1 = 10
print("Global variable num1=",num1)
def func(num2):
print("In function num2 = " ,num2)
num3 = 30
print("In function num3 = " ,num3)
func(20)
print("num1 again=",num1)
print("num3 outside function =",num3) # it will throw error since is local variable.
| num1 = 10
print('Global variable num1=', num1)
def func(num2):
print('In function num2 = ', num2)
num3 = 30
print('In function num3 = ', num3)
func(20)
print('num1 again=', num1)
print('num3 outside function =', num3) |
red='\033[1;31m'
aqua = '\033[1;36m'
blink = "\033[5m"
reset = reset="\033[0m"
b = f"""
{red} ____ _ ____ _ _
| _ \ ___ __| |/ ___(_)_ __ | |__ ___ _ __
| |_) / _ \/ _` | | | | '_ \| '_ \ / _ \ '__|
| _ < __/ (_| | |___| | |_) | | | | __/ |
|_| \_\___|\__,_|\____|_| .__/|_| |_|\___|_|
|_|
{aqua}-={red} By RedMad :$ {aqua}=-
{aqua}-={red} https://github.com/RedMads/ {aqua}=-
{red}Professional Encryption {aqua}/{red} Decryption tool {aqua}!
{aqua}============================================{red}
"""
def banner():
print(b)
| red = '\x1b[1;31m'
aqua = '\x1b[1;36m'
blink = '\x1b[5m'
reset = reset = '\x1b[0m'
b = f"\n{red} ____ _ ____ _ _ \n | _ \\ ___ __| |/ ___(_)_ __ | |__ ___ _ __ \n | |_) / _ \\/ _` | | | | '_ \\| '_ \\ / _ \\ '__|\n | _ < __/ (_| | |___| | |_) | | | | __/ | \n |_| \\_\\___|\\__,_|\\____|_| .__/|_| |_|\\___|_| \n |_| \n\n {aqua}-={red} By RedMad :$ {aqua}=-\n\n {aqua}-={red} https://github.com/RedMads/ {aqua}=-\n\n {red}Professional Encryption {aqua}/{red} Decryption tool {aqua}!\n\n {aqua}============================================{red}\n\n"
def banner():
print(b) |
class Solution:
def removeElement(self, nums: List[int], val: int) -> int:
size = len(nums)
if (size == 0):
return 0
j = 0
k = size - 1
while (j < k) :
while (j < k and nums[j] != val):
j += 1
while (j < k and nums[k] == val):
k -= 1
temp = nums[j]
nums[j] = nums[k]
nums[k] = temp
if (nums[j] == val):
return j
else:
return (j+1)
| class Solution:
def remove_element(self, nums: List[int], val: int) -> int:
size = len(nums)
if size == 0:
return 0
j = 0
k = size - 1
while j < k:
while j < k and nums[j] != val:
j += 1
while j < k and nums[k] == val:
k -= 1
temp = nums[j]
nums[j] = nums[k]
nums[k] = temp
if nums[j] == val:
return j
else:
return j + 1 |
controlNum = list(map(int, input().split()))
controlArr = list(map(int, input().split()))
tvChannelCost = []
for i in range(10):
tvChannelCost.extend(list(map(int, input().split())))
origin, destination = input().split()
origin = int(origin)
destination = int(destination)
results = []
# check can go directly to destination with controlNum
if (destination > 9):
if (controlArr[0] == 1):
decimal = int((destination - (destination % 10))/10)
if (controlNum[decimal] == 1) & (controlNum[destination % 10] == 1):
results.append(3+tvChannelCost[origin]+tvChannelCost[destination])
elif controlNum[destination] == 1:
results.append(1+tvChannelCost[origin]+tvChannelCost[destination])
## Combine points section
combinPoints = []
# Left far
for i in range(10):
if controlNum[i] == 1:
combinPoints.append(i)
break
# Left close
decimal = None
if ((destination > 9) & controlArr[0] == 1) | (destination < 10):
if controlNum[int(destination/10)] == 1:
decimal = int(destination/10)
for i in range((destination % 10)-1, -1, -1):
if controlNum[i] == 1:
combinPoints.append(decimal*10 + i)
break
else:
for i in range(int(destination/10)-1, -1, -1):
if controlNum[i] == 1:
decimal = i
for i in range(9, -1, -1):
if controlNum[i] == 1:
combinPoints.append(decimal*10 + i)
break
else:
for i in range(9, -1, -1):
if controlNum[i] == 1:
combinPoints.append(i)
break
# Right far
for i in range(9,-1, -1):
if controlNum[i] == 1:
combinPoints.append(i*10 +i)
break
# Right close
if ((destination > 9) & controlArr[0]==1) | (destination < 10):
if controlNum[int(destination/10)] == 1:
decimal = int(destination/10)
for i in range(destination%10+1,10):
if controlNum[i] == 1:
combinPoints.append(decimal*10 + i)
break
else:
for i in range(int(destination/10)+1,10):
if controlNum[i] == 1:
decimal = i
break
for i in range(10):
if controlNum[i] == 1:
combinPoints.append(decimal*10 + i)
break
## End combin points section
# just with up arrow
def upArr(origin, destination):
if origin < destination:
return sum(tvChannelCost[i] for i in range(origin, destination+1)) + (destination-origin)
else:
score = sum(tvChannelCost[i]
for i in range(origin, len(tvChannelCost))) + (len(tvChannelCost) - origin)
score += sum(tvChannelCost[i] for i in range(0, origin)) + origin
return score
# just with down arrow
def downArr(origin, destination):
if origin > destination:
return sum(tvChannelCost[i] for i in range(destination, origin+1)) + (origin - destination)
else:
score = sum(tvChannelCost[i] for i in range(0, origin+1)) + origin + 1
score += sum(tvChannelCost[i]
for i in range(destination, len(tvChannelCost))) + (len(tvChannelCost) - destination)
return score
if controlArr[1] ==1:
results.append(upArr(origin,destination))
for cp in combinPoints:
results.append(tvChannelCost[origin]+upArr(cp,destination) + 1 + (2*bool(cp>9)))
if controlArr[2] == 1:
results.append(downArr(origin,destination))
for cp in combinPoints:
results.append(tvChannelCost[origin]+downArr(cp,destination) + 1 + (2*bool(cp>9)))
if results:
print(min(results))
else:
print('-1')
| control_num = list(map(int, input().split()))
control_arr = list(map(int, input().split()))
tv_channel_cost = []
for i in range(10):
tvChannelCost.extend(list(map(int, input().split())))
(origin, destination) = input().split()
origin = int(origin)
destination = int(destination)
results = []
if destination > 9:
if controlArr[0] == 1:
decimal = int((destination - destination % 10) / 10)
if (controlNum[decimal] == 1) & (controlNum[destination % 10] == 1):
results.append(3 + tvChannelCost[origin] + tvChannelCost[destination])
elif controlNum[destination] == 1:
results.append(1 + tvChannelCost[origin] + tvChannelCost[destination])
combin_points = []
for i in range(10):
if controlNum[i] == 1:
combinPoints.append(i)
break
decimal = None
if ((destination > 9) & controlArr[0] == 1) | (destination < 10):
if controlNum[int(destination / 10)] == 1:
decimal = int(destination / 10)
for i in range(destination % 10 - 1, -1, -1):
if controlNum[i] == 1:
combinPoints.append(decimal * 10 + i)
break
else:
for i in range(int(destination / 10) - 1, -1, -1):
if controlNum[i] == 1:
decimal = i
for i in range(9, -1, -1):
if controlNum[i] == 1:
combinPoints.append(decimal * 10 + i)
break
else:
for i in range(9, -1, -1):
if controlNum[i] == 1:
combinPoints.append(i)
break
for i in range(9, -1, -1):
if controlNum[i] == 1:
combinPoints.append(i * 10 + i)
break
if ((destination > 9) & controlArr[0] == 1) | (destination < 10):
if controlNum[int(destination / 10)] == 1:
decimal = int(destination / 10)
for i in range(destination % 10 + 1, 10):
if controlNum[i] == 1:
combinPoints.append(decimal * 10 + i)
break
else:
for i in range(int(destination / 10) + 1, 10):
if controlNum[i] == 1:
decimal = i
break
for i in range(10):
if controlNum[i] == 1:
combinPoints.append(decimal * 10 + i)
break
def up_arr(origin, destination):
if origin < destination:
return sum((tvChannelCost[i] for i in range(origin, destination + 1))) + (destination - origin)
else:
score = sum((tvChannelCost[i] for i in range(origin, len(tvChannelCost)))) + (len(tvChannelCost) - origin)
score += sum((tvChannelCost[i] for i in range(0, origin))) + origin
return score
def down_arr(origin, destination):
if origin > destination:
return sum((tvChannelCost[i] for i in range(destination, origin + 1))) + (origin - destination)
else:
score = sum((tvChannelCost[i] for i in range(0, origin + 1))) + origin + 1
score += sum((tvChannelCost[i] for i in range(destination, len(tvChannelCost)))) + (len(tvChannelCost) - destination)
return score
if controlArr[1] == 1:
results.append(up_arr(origin, destination))
for cp in combinPoints:
results.append(tvChannelCost[origin] + up_arr(cp, destination) + 1 + 2 * bool(cp > 9))
if controlArr[2] == 1:
results.append(down_arr(origin, destination))
for cp in combinPoints:
results.append(tvChannelCost[origin] + down_arr(cp, destination) + 1 + 2 * bool(cp > 9))
if results:
print(min(results))
else:
print('-1') |
size(200, 200)
path = BezierPath()
path.rect(50, 50, 100, 100)
path.reverse()
path.rect(75, 75, 50, 50)
drawPath(path)
| size(200, 200)
path = bezier_path()
path.rect(50, 50, 100, 100)
path.reverse()
path.rect(75, 75, 50, 50)
draw_path(path) |
class vowels:
__VOWELS = ["A", "a", "E", "e",
"I", "i", "O", "o",
"U", "u", "Y", "y"]
def __init__(self, text):
self.text = text
self.start = 0
@staticmethod
def is_vowel(char):
return char in vowels.__VOWELS
def __iter__(self):
return self
def __next__(self):
index = self.start
if index > len(self.text) - 1:
raise StopIteration
char = self.text[index]
self.start += 1
if not self.is_vowel(char):
return self.__next__()
return char
# test code
my_string = vowels('Abcedifuty0o')
for char in my_string:
print(char)
| class Vowels:
__vowels = ['A', 'a', 'E', 'e', 'I', 'i', 'O', 'o', 'U', 'u', 'Y', 'y']
def __init__(self, text):
self.text = text
self.start = 0
@staticmethod
def is_vowel(char):
return char in vowels.__VOWELS
def __iter__(self):
return self
def __next__(self):
index = self.start
if index > len(self.text) - 1:
raise StopIteration
char = self.text[index]
self.start += 1
if not self.is_vowel(char):
return self.__next__()
return char
my_string = vowels('Abcedifuty0o')
for char in my_string:
print(char) |
@xbot.xfunction
@bot.command(name='add')
async def add(ctx):
"""__GENERATED__ cross platform generated function"""
try:
message = ctx.message.content
(_, left, right) = message.split(' ')
result = (int(left) + int(right))
await ctx.send(result)
except (IndexError, ValueError):
await ctx.send('Usage: /add <left> <right>')
@xbot.xfunction
@bot.command(name='subtract')
async def subtract(ctx):
"""__GENERATED__ cross platform generated function"""
try:
message = ctx.message.content
(_, left, right) = message.split(' ')
result = (int(left) - int(right))
await ctx.send(result)
except (IndexError, ValueError):
await ctx.send('Usage: /subtract <left> <right>')
@xbot.xfunction
@bot.command(name='echo')
async def echo(ctx):
"""__GENERATED__ cross platform generated function"""
await ctx.send(ctx.message.content)
@xbot.xfunction
@bot.command(name='echo_additional_arguments')
async def echo_additional_arguments(ctx, custom_argument_1, custom_argument_2):
"""__GENERATED__ cross platform generated function"""
await ctx.send(ctx.message.content) | @xbot.xfunction
@bot.command(name='add')
async def add(ctx):
"""__GENERATED__ cross platform generated function"""
try:
message = ctx.message.content
(_, left, right) = message.split(' ')
result = int(left) + int(right)
await ctx.send(result)
except (IndexError, ValueError):
await ctx.send('Usage: /add <left> <right>')
@xbot.xfunction
@bot.command(name='subtract')
async def subtract(ctx):
"""__GENERATED__ cross platform generated function"""
try:
message = ctx.message.content
(_, left, right) = message.split(' ')
result = int(left) - int(right)
await ctx.send(result)
except (IndexError, ValueError):
await ctx.send('Usage: /subtract <left> <right>')
@xbot.xfunction
@bot.command(name='echo')
async def echo(ctx):
"""__GENERATED__ cross platform generated function"""
await ctx.send(ctx.message.content)
@xbot.xfunction
@bot.command(name='echo_additional_arguments')
async def echo_additional_arguments(ctx, custom_argument_1, custom_argument_2):
"""__GENERATED__ cross platform generated function"""
await ctx.send(ctx.message.content) |
"""
Stworz prosty symulator gry karcianej wojna.
Zadaniem Twojej funkcji jest wskazanie, ktora karta
zwyciezy. Parametrami sa znaki card1 oraz card2.
Moga one przyjmowac wartosci:
<"1", "2", "3", ..., "10", "J", "D", "K", "A"> - wielkosc
liter bedzie miala znaczenie (choc mozna przedstawic rozwiazanie,
w ktorym nie bedzie znaczylo czy litera jest duza czy mala).
Funkcja powinna zwracac liczbe 1, jezeli wygra gracz 1,
2 - jezeli zwyciezy gracz 2 lub 0 jesli karty sa takie same.
Przyklady:
>> determine_the_winner("5", "2")
1
>> determine_the_winner("D", "A")
2
>> determine_the_winner("K", "8")
1
>> determine_the_winner("4", "4")
0
"""
def determine_the_winner(card1, card2):
"""Wskazuje zwyciezce potyczki w grze wojna.
:param card1: litera (string) reprezentujaca karte gracza 1.
:param card2: litera (string) reprezentujaca karte gracza 2.
:return: 0 dla remisu, 1 jesli zwyciezy gracz 1, 2 dla zwyciestwa gracza 2.
"""
pass
| """
Stworz prosty symulator gry karcianej wojna.
Zadaniem Twojej funkcji jest wskazanie, ktora karta
zwyciezy. Parametrami sa znaki card1 oraz card2.
Moga one przyjmowac wartosci:
<"1", "2", "3", ..., "10", "J", "D", "K", "A"> - wielkosc
liter bedzie miala znaczenie (choc mozna przedstawic rozwiazanie,
w ktorym nie bedzie znaczylo czy litera jest duza czy mala).
Funkcja powinna zwracac liczbe 1, jezeli wygra gracz 1,
2 - jezeli zwyciezy gracz 2 lub 0 jesli karty sa takie same.
Przyklady:
>> determine_the_winner("5", "2")
1
>> determine_the_winner("D", "A")
2
>> determine_the_winner("K", "8")
1
>> determine_the_winner("4", "4")
0
"""
def determine_the_winner(card1, card2):
"""Wskazuje zwyciezce potyczki w grze wojna.
:param card1: litera (string) reprezentujaca karte gracza 1.
:param card2: litera (string) reprezentujaca karte gracza 2.
:return: 0 dla remisu, 1 jesli zwyciezy gracz 1, 2 dla zwyciestwa gracza 2.
"""
pass |
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
if len(nums1) > len(nums2):
return self.intersect(nums2, nums1)
freq = {}
for ele in nums1:
if(ele in freq):
freq[ele] += 1
else:
freq[ele] = 1
out = []
for ele in nums2:
if(ele in freq):
if(freq[ele] > 0):
out.append(ele)
freq[ele] -= 1
return out | class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
if len(nums1) > len(nums2):
return self.intersect(nums2, nums1)
freq = {}
for ele in nums1:
if ele in freq:
freq[ele] += 1
else:
freq[ele] = 1
out = []
for ele in nums2:
if ele in freq:
if freq[ele] > 0:
out.append(ele)
freq[ele] -= 1
return out |
print(len("Python"))
print(len("programming"))
print(len(" "))
print("Maciej" + "Zurek")
print("Maciej " + "Zurek")
print("Maciej" + " Zurek")
print("Maciej" + " " + "Zurek")
print("a" "b" "c")
print("---" * 10)
| print(len('Python'))
print(len('programming'))
print(len(' '))
print('Maciej' + 'Zurek')
print('Maciej ' + 'Zurek')
print('Maciej' + ' Zurek')
print('Maciej' + ' ' + 'Zurek')
print('abc')
print('---' * 10) |
# Find the IP address in the following line using a regex group and the
# re.search function. Print the IP address using the match object group
# method, as well as the index of where the grouping starts and ends.
log = '208.115.111.73 - - [01/Apr/2013:06:30:26 -0700] "GET /nanowiki/index.php/1_November_2007_-_Day_1 HTTP/1.1" 404 36 "-" "Mozilla/5.0 (compatible; Ezooms/1.0; ezooms.bot@gmail.com)"'
| log = '208.115.111.73 - - [01/Apr/2013:06:30:26 -0700] "GET /nanowiki/index.php/1_November_2007_-_Day_1 HTTP/1.1" 404 36 "-" "Mozilla/5.0 (compatible; Ezooms/1.0; ezooms.bot@gmail.com)"' |
__author__ = 'ivan.arar@gmail.com'
class Paging(object):
def __init__(self, paging_data):
self.paging_data = paging_data
def has_next(self):
if int(self.paging_data['page']) == int(self.paging_data['pages']):
return False
else:
return True
def has_previous(self):
if int(self.paging_data['page']) == 1:
return False
else:
return True
def next(self):
if self.has_next():
return int(self.paging_data['page'])+1
else:
return False
def previous(self):
if self.has_previous():
return int(self.paging_data['page'])-1
else:
return False
| __author__ = 'ivan.arar@gmail.com'
class Paging(object):
def __init__(self, paging_data):
self.paging_data = paging_data
def has_next(self):
if int(self.paging_data['page']) == int(self.paging_data['pages']):
return False
else:
return True
def has_previous(self):
if int(self.paging_data['page']) == 1:
return False
else:
return True
def next(self):
if self.has_next():
return int(self.paging_data['page']) + 1
else:
return False
def previous(self):
if self.has_previous():
return int(self.paging_data['page']) - 1
else:
return False |
f = open("01.txt", "r")
past = 150 # using this as base case since first number on file is 150 (prevent dec or inc count from chaning)
dec = 0
inc = 0
for i in f.read().splitlines():
if i > past:
inc += 1
elif i < past:
dec += 1
past = i
print(inc)
| f = open('01.txt', 'r')
past = 150
dec = 0
inc = 0
for i in f.read().splitlines():
if i > past:
inc += 1
elif i < past:
dec += 1
past = i
print(inc) |
mapping = {
"files": [
("site-example.conf", "/etc/nginx/sites-available/site-example.conf")
],
"templates": [
("index.html.tmpl", "/var/www/html/index.html")
]
}
| mapping = {'files': [('site-example.conf', '/etc/nginx/sites-available/site-example.conf')], 'templates': [('index.html.tmpl', '/var/www/html/index.html')]} |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
class CacheTypes(object):
"""Cache Types ENUM
"""
UNDEFINED = None
MEMCACHED_CACHE = 'Memcached'
@staticmethod
def validate(cache_type):
return cache_type in [
CacheTypes.MEMCACHED_CACHE,
] | class Cachetypes(object):
"""Cache Types ENUM
"""
undefined = None
memcached_cache = 'Memcached'
@staticmethod
def validate(cache_type):
return cache_type in [CacheTypes.MEMCACHED_CACHE] |
# - helloworld.py *- coding: utf-8 -*-
"""
This program simply prints the phrase "Hello, World!"
@author: wboyd
"""
print("Hello, World!")
| """
This program simply prints the phrase "Hello, World!"
@author: wboyd
"""
print('Hello, World!') |
#----------------------------------------------------------------------------------------------------------
#
# AUTOMATICALLY GENERATED FILE TO BE USED BY W_HOTBOX
#
# NAME: Toggle Adjust Points
# COLOR: #3a97bd
#
#----------------------------------------------------------------------------------------------------------
ns = nuke.selectedNodes()
for n in ns:
n.knob('toggleAdjustKnobs').execute()
| ns = nuke.selectedNodes()
for n in ns:
n.knob('toggleAdjustKnobs').execute() |
#!/usr/bin/env python3
# ## Algorithm:
#
# - Initialize an empty set to store the already visited elements
# - Iterate through the list
# - If the current element is in the set, return True
# - Otherwise, add the element to the set
#
# ## Time Complexity:
#
# - O(n) to run through the entire list
# - O(1) to add an element to the set
# - O(1) to check if an element is present in the set
# - Hence the total time complexity is O(n)
#
# ## Code:
class Solution:
def containsDuplicate(self, nums: List[int]) -> bool:
seen = set()
for x in nums:
if x in seen:
return True
else:
seen.add(x)
return False
| class Solution:
def contains_duplicate(self, nums: List[int]) -> bool:
seen = set()
for x in nums:
if x in seen:
return True
else:
seen.add(x)
return False |
#==============================================================================================
#Multiples of 3 and 5
#===============================================================================================
#Problem 1
#If we list all the natural numbers below 10 that are multiples of 3 or 5, we get 3, 5, 6 and 9. The sum of these multiples is 23.
#Find the sum of all the multiples of 3 or 5 below 1000.
###############################################################################################
rezultat = [i for i in range(1000) if i % 3 == 0 or i % 5 == 0] #[0, 3, 5, 6, 9, 10, 12, 15, 18, 20, 21, 24, 25, 27, ...]
print(sum(rezultat)) #233168
| rezultat = [i for i in range(1000) if i % 3 == 0 or i % 5 == 0]
print(sum(rezultat)) |
# -*- coding: utf-8 -*-
__author__ = "Paul Schifferer <dm@sweetrpg.com>"
"""
"""
__title__ = 'PACKAGE_NAME'
__description__ = 'PACKAGE_DESC'
__url__ = 'PACKAGE_URL'
__version__ = '0.0.0'
__build__ = 0x000000
__author__ = 'PACKAGE_AUTHOR'
__author_email__ = 'PACKAGE_AUTHOR_EMAIL'
__license__ = 'MIT'
__copyright__ = 'Copyright 2021 SweetRPG'
__cake__ = u'\u2728 \U0001f370 \u2728'
| __author__ = 'Paul Schifferer <dm@sweetrpg.com>'
'\n'
__title__ = 'PACKAGE_NAME'
__description__ = 'PACKAGE_DESC'
__url__ = 'PACKAGE_URL'
__version__ = '0.0.0'
__build__ = 0
__author__ = 'PACKAGE_AUTHOR'
__author_email__ = 'PACKAGE_AUTHOR_EMAIL'
__license__ = 'MIT'
__copyright__ = 'Copyright 2021 SweetRPG'
__cake__ = u'✨ 🍰 ✨' |
# Do not edit this file directly.
# It was auto-generated by: code/programs/reflexivity/reflexive_refresh
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
def pthreadpool():
http_archive(
name = "pthreadpool",
build_file = "//bazel/deps/pthreadpool:build.BUILD",
sha256 = "7a523b439a996e2f4376169279409059101f2f71eed4fcc915971368990504a0",
strip_prefix = "pthreadpool-6673a4c71fe35e077c6843a74017d9c25610c537",
urls = [
"https://github.com/Unilang/pthreadpool/archive/6673a4c71fe35e077c6843a74017d9c25610c537.tar.gz",
],
)
| load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_archive')
load('@bazel_tools//tools/build_defs/repo:http.bzl', 'http_file')
def pthreadpool():
http_archive(name='pthreadpool', build_file='//bazel/deps/pthreadpool:build.BUILD', sha256='7a523b439a996e2f4376169279409059101f2f71eed4fcc915971368990504a0', strip_prefix='pthreadpool-6673a4c71fe35e077c6843a74017d9c25610c537', urls=['https://github.com/Unilang/pthreadpool/archive/6673a4c71fe35e077c6843a74017d9c25610c537.tar.gz']) |
class Message(object):
def __init__(self, text, user_agent, message_date, email=None, referer=None, device=None):
"""Message
:param text: text of the message
:param user_agent: User-Agent from the query
:param message_date: date of the message
:param email: email address of the sender
:param referer: optional referer
"""
self.text = text
self.user_agent = user_agent
self.message_date = message_date
self.email = email
self.referer = referer
self.device = device
text = None
user_agent = None
message_date = None
email = None
referer = None
device = None | class Message(object):
def __init__(self, text, user_agent, message_date, email=None, referer=None, device=None):
"""Message
:param text: text of the message
:param user_agent: User-Agent from the query
:param message_date: date of the message
:param email: email address of the sender
:param referer: optional referer
"""
self.text = text
self.user_agent = user_agent
self.message_date = message_date
self.email = email
self.referer = referer
self.device = device
text = None
user_agent = None
message_date = None
email = None
referer = None
device = None |
#
# PySNMP MIB module HPICF-SAVI-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPICF-SAVI-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:33:53 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
hpSwitchExperimental, = mibBuilder.importSymbols("HP-ICF-OID", "hpSwitchExperimental")
InterfaceIndex, = mibBuilder.importSymbols("IF-MIB", "InterfaceIndex")
InetVersion, InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetVersion", "InetAddressType", "InetAddress")
ObjectGroup, ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ObjectGroup", "ModuleCompliance", "NotificationGroup")
Integer32, Bits, ModuleIdentity, Unsigned32, iso, MibScalar, MibTable, MibTableRow, MibTableColumn, TimeTicks, NotificationType, IpAddress, Counter32, Gauge32, ObjectIdentity, Counter64, MibIdentifier = mibBuilder.importSymbols("SNMPv2-SMI", "Integer32", "Bits", "ModuleIdentity", "Unsigned32", "iso", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "TimeTicks", "NotificationType", "IpAddress", "Counter32", "Gauge32", "ObjectIdentity", "Counter64", "MibIdentifier")
TextualConvention, MacAddress, RowStatus, DisplayString, TimeInterval = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "MacAddress", "RowStatus", "DisplayString", "TimeInterval")
hpicfSaviMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1))
hpicfSaviMIB.setRevisions(('2017-11-08 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: hpicfSaviMIB.setRevisionsDescriptions(('Initial version',))
if mibBuilder.loadTexts: hpicfSaviMIB.setLastUpdated('201711080000Z')
if mibBuilder.loadTexts: hpicfSaviMIB.setOrganization('HP Networking')
if mibBuilder.loadTexts: hpicfSaviMIB.setContactInfo('Hewlett-Packard Company 8000 Foothills Blvd. Roseville, CA 95747')
if mibBuilder.loadTexts: hpicfSaviMIB.setDescription('This MIB Module is designed to support the configuration and monitoring of DHCPv6 Snooping protocol. This MIB module was based off the IETF draft of SAVI mib, which was designed to support configuration and monitoring of SAVI protocol by Changging An(acq@cernet.edu.cn) and Jiahai Yang(yang@cernet.edu.cu), https://tools.ietf.org/html/draft-an-savi-mib-02.\\u201d.')
hpicfSaviObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1))
hpicfSaviObjectsPortTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1), )
if mibBuilder.loadTexts: hpicfSaviObjectsPortTable.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsPortTable.setDescription('The table containing hpicfSAVI parameters of each anchor.')
hpicfSaviObjectsPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1), ).setIndexNames((0, "HPICF-SAVI-MIB", "hpicfSaviObjectsPortIPVersion"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjectsPortIfIndex"))
if mibBuilder.loadTexts: hpicfSaviObjectsPortEntry.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsPortEntry.setDescription('An entry containing hpicfSAVI running parameters of an anchor.')
hpicfSaviObjectsPortIPVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 1), InetVersion())
if mibBuilder.loadTexts: hpicfSaviObjectsPortIPVersion.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsPortIPVersion.setDescription('The IP version.')
hpicfSaviObjectsPortIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 2), InterfaceIndex())
if mibBuilder.loadTexts: hpicfSaviObjectsPortIfIndex.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsPortIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicfSaviObjPortDhcpTrustAttr = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enable", 1), ("disable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpicfSaviObjPortDhcpTrustAttr.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjPortDhcpTrustAttr.setDescription('The DHCP trust attribute of the port. enable(1), the attribute is set. disable(2), the attribute is not set.')
hpicfSaviObjectsPortFilteringNum = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 4), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpicfSaviObjectsPortFilteringNum.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsPortFilteringNum.setDescription('The max filtering number of the Port.')
hpicfSaviObjectsBindingTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2), )
if mibBuilder.loadTexts: hpicfSaviObjectsBindingTable.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingTable.setDescription('The table containing the state of binding between source address and anchor.')
hpicfSaviObjectsBindingEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1), ).setIndexNames((0, "HPICF-SAVI-MIB", "hpicfSaviObjBindingIpAddrType"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjectsBindingType"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjectsBindingIfIndex"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjectsBindingIpAddress"))
if mibBuilder.loadTexts: hpicfSaviObjectsBindingEntry.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingEntry.setDescription('An entry containing the state of binding between source address and anchor. Entries are keyed on the source IP address type, binding type, anchor, and source IP address.')
hpicfSaviObjBindingIpAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 1), InetAddressType())
if mibBuilder.loadTexts: hpicfSaviObjBindingIpAddrType.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjBindingIpAddrType.setDescription('IP address type of the binding source IP.')
hpicfSaviObjectsBindingType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("manual", 1), ("slaac", 2), ("dhcp", 3), ("send", 4))))
if mibBuilder.loadTexts: hpicfSaviObjectsBindingType.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingType.setDescription('IP address assignment methods.')
hpicfSaviObjectsBindingIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 3), InterfaceIndex())
if mibBuilder.loadTexts: hpicfSaviObjectsBindingIfIndex.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicfSaviObjectsBindingIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 4), InetAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(4, 4), ValueSizeConstraint(16, 16), )))
if mibBuilder.loadTexts: hpicfSaviObjectsBindingIpAddress.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingIpAddress.setDescription('The binding source IP address.')
hpicfSaviObjectsBindingMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 5), MacAddress()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpicfSaviObjectsBindingMacAddr.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingMacAddr.setDescription('The binding source mac address.')
hpicfSaviObjectsBindingLifetime = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 6), TimeInterval()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpicfSaviObjectsBindingLifetime.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingLifetime.setDescription("The remaining lifetime of the entry. TimeInterval is defined in RFC 2579, it's a period of time, measured in units of 0.01 seconds, and the value is (0..2147483647). If hpicfSaviObjectsBindingType=manual, a value of 2147483647 represents infinity.")
hpicfSaviObjectsBindingRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 7), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpicfSaviObjectsBindingRowStatus.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsBindingRowStatus.setDescription('The status of this row, by which new entries may be created, or old entries deleted from this table. An Entry can be created or deleted only when hpicfSaviObjectsBindingType=manual. Row statuses createAndWait(5), notReady(3) and notInService(2) are not supported.')
hpicfSaviObjectsFilteringTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3), )
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringTable.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringTable.setDescription('The table containing the filtering entries.')
hpicfSaviObjectsFilteringEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1), ).setIndexNames((0, "HPICF-SAVI-MIB", "hpicfSaviObjFilteringIpAddrType"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjectsFilteringIfIndex"), (0, "HPICF-SAVI-MIB", "hpicfSaviObjFilteringIpAddr"))
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringEntry.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringEntry.setDescription('An entry containing the filtering parameters. Entries are keyed on the source IP address type, anchor, and source IP address.')
hpicfSaviObjFilteringIpAddrType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 1), InetAddressType())
if mibBuilder.loadTexts: hpicfSaviObjFilteringIpAddrType.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjFilteringIpAddrType.setDescription('IP address type of the filtering source IP.')
hpicfSaviObjectsFilteringIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 2), InterfaceIndex())
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringIfIndex.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicfSaviObjFilteringIpAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 3), InetAddress().subtype(subtypeSpec=ConstraintsUnion(ValueSizeConstraint(4, 4), ValueSizeConstraint(16, 16), )))
if mibBuilder.loadTexts: hpicfSaviObjFilteringIpAddr.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjFilteringIpAddr.setDescription('The filtering source IP address.')
hpicfSaviObjectsFilteringMacAddr = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 4), MacAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringMacAddr.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviObjectsFilteringMacAddr.setDescription('The filtering source mac address.')
hpicfSaviConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2))
hpicfSaviCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 1))
hpicfSaviCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 1, 1)).setObjects(("HPICF-SAVI-MIB", "hpicfSaviportGroup"), ("HPICF-SAVI-MIB", "hpicfSavibindingGroup"), ("HPICF-SAVI-MIB", "hpicfSavifilteringGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicfSaviCompliance = hpicfSaviCompliance.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviCompliance.setDescription('The compliance statement for entities which implement hpicfSAVI protocol.')
hpicfSaviGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2))
hpicfSaviportGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 1)).setObjects(("HPICF-SAVI-MIB", "hpicfSaviObjPortDhcpTrustAttr"), ("HPICF-SAVI-MIB", "hpicfSaviObjectsPortFilteringNum"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicfSaviportGroup = hpicfSaviportGroup.setStatus('current')
if mibBuilder.loadTexts: hpicfSaviportGroup.setDescription('The if group contains objects corresponding to the hpicfSavi running parameters of each anchor.')
hpicfSavibindingGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 2)).setObjects(("HPICF-SAVI-MIB", "hpicfSaviObjectsBindingMacAddr"), ("HPICF-SAVI-MIB", "hpicfSaviObjectsBindingLifetime"), ("HPICF-SAVI-MIB", "hpicfSaviObjectsBindingRowStatus"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicfSavibindingGroup = hpicfSavibindingGroup.setStatus('current')
if mibBuilder.loadTexts: hpicfSavibindingGroup.setDescription('The binding group contains the binding information of anchor and source ip address.')
hpicfSavifilteringGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 3)).setObjects(("HPICF-SAVI-MIB", "hpicfSaviObjectsFilteringMacAddr"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicfSavifilteringGroup = hpicfSavifilteringGroup.setStatus('current')
if mibBuilder.loadTexts: hpicfSavifilteringGroup.setDescription('The filtering group contains the filtering information of anchor and source ip address.')
mibBuilder.exportSymbols("HPICF-SAVI-MIB", hpicfSaviObjectsBindingEntry=hpicfSaviObjectsBindingEntry, hpicfSaviObjectsBindingMacAddr=hpicfSaviObjectsBindingMacAddr, hpicfSaviObjPortDhcpTrustAttr=hpicfSaviObjPortDhcpTrustAttr, hpicfSaviGroups=hpicfSaviGroups, hpicfSaviportGroup=hpicfSaviportGroup, hpicfSaviObjectsFilteringIfIndex=hpicfSaviObjectsFilteringIfIndex, hpicfSaviConformance=hpicfSaviConformance, hpicfSaviObjBindingIpAddrType=hpicfSaviObjBindingIpAddrType, hpicfSaviObjFilteringIpAddr=hpicfSaviObjFilteringIpAddr, hpicfSaviObjectsPortIPVersion=hpicfSaviObjectsPortIPVersion, hpicfSaviCompliances=hpicfSaviCompliances, hpicfSaviObjFilteringIpAddrType=hpicfSaviObjFilteringIpAddrType, hpicfSavifilteringGroup=hpicfSavifilteringGroup, hpicfSaviObjectsBindingLifetime=hpicfSaviObjectsBindingLifetime, hpicfSaviObjectsPortFilteringNum=hpicfSaviObjectsPortFilteringNum, PYSNMP_MODULE_ID=hpicfSaviMIB, hpicfSaviMIB=hpicfSaviMIB, hpicfSaviObjectsFilteringMacAddr=hpicfSaviObjectsFilteringMacAddr, hpicfSaviObjectsFilteringEntry=hpicfSaviObjectsFilteringEntry, hpicfSaviObjectsPortEntry=hpicfSaviObjectsPortEntry, hpicfSaviObjectsBindingIfIndex=hpicfSaviObjectsBindingIfIndex, hpicfSaviObjectsBindingType=hpicfSaviObjectsBindingType, hpicfSaviObjectsFilteringTable=hpicfSaviObjectsFilteringTable, hpicfSaviObjectsBindingIpAddress=hpicfSaviObjectsBindingIpAddress, hpicfSaviObjectsPortTable=hpicfSaviObjectsPortTable, hpicfSaviObjectsPortIfIndex=hpicfSaviObjectsPortIfIndex, hpicfSaviCompliance=hpicfSaviCompliance, hpicfSaviObjects=hpicfSaviObjects, hpicfSaviObjectsBindingTable=hpicfSaviObjectsBindingTable, hpicfSaviObjectsBindingRowStatus=hpicfSaviObjectsBindingRowStatus, hpicfSavibindingGroup=hpicfSavibindingGroup)
| (integer, object_identifier, octet_string) = mibBuilder.importSymbols('ASN1', 'Integer', 'ObjectIdentifier', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(constraints_union, constraints_intersection, single_value_constraint, value_size_constraint, value_range_constraint) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ConstraintsUnion', 'ConstraintsIntersection', 'SingleValueConstraint', 'ValueSizeConstraint', 'ValueRangeConstraint')
(hp_switch_experimental,) = mibBuilder.importSymbols('HP-ICF-OID', 'hpSwitchExperimental')
(interface_index,) = mibBuilder.importSymbols('IF-MIB', 'InterfaceIndex')
(inet_version, inet_address_type, inet_address) = mibBuilder.importSymbols('INET-ADDRESS-MIB', 'InetVersion', 'InetAddressType', 'InetAddress')
(object_group, module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ObjectGroup', 'ModuleCompliance', 'NotificationGroup')
(integer32, bits, module_identity, unsigned32, iso, mib_scalar, mib_table, mib_table_row, mib_table_column, time_ticks, notification_type, ip_address, counter32, gauge32, object_identity, counter64, mib_identifier) = mibBuilder.importSymbols('SNMPv2-SMI', 'Integer32', 'Bits', 'ModuleIdentity', 'Unsigned32', 'iso', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'TimeTicks', 'NotificationType', 'IpAddress', 'Counter32', 'Gauge32', 'ObjectIdentity', 'Counter64', 'MibIdentifier')
(textual_convention, mac_address, row_status, display_string, time_interval) = mibBuilder.importSymbols('SNMPv2-TC', 'TextualConvention', 'MacAddress', 'RowStatus', 'DisplayString', 'TimeInterval')
hpicf_savi_mib = module_identity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1))
hpicfSaviMIB.setRevisions(('2017-11-08 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts:
hpicfSaviMIB.setRevisionsDescriptions(('Initial version',))
if mibBuilder.loadTexts:
hpicfSaviMIB.setLastUpdated('201711080000Z')
if mibBuilder.loadTexts:
hpicfSaviMIB.setOrganization('HP Networking')
if mibBuilder.loadTexts:
hpicfSaviMIB.setContactInfo('Hewlett-Packard Company 8000 Foothills Blvd. Roseville, CA 95747')
if mibBuilder.loadTexts:
hpicfSaviMIB.setDescription('This MIB Module is designed to support the configuration and monitoring of DHCPv6 Snooping protocol. This MIB module was based off the IETF draft of SAVI mib, which was designed to support configuration and monitoring of SAVI protocol by Changging An(acq@cernet.edu.cn) and Jiahai Yang(yang@cernet.edu.cu), https://tools.ietf.org/html/draft-an-savi-mib-02.\\u201d.')
hpicf_savi_objects = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1))
hpicf_savi_objects_port_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1))
if mibBuilder.loadTexts:
hpicfSaviObjectsPortTable.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortTable.setDescription('The table containing hpicfSAVI parameters of each anchor.')
hpicf_savi_objects_port_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1)).setIndexNames((0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsPortIPVersion'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsPortIfIndex'))
if mibBuilder.loadTexts:
hpicfSaviObjectsPortEntry.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortEntry.setDescription('An entry containing hpicfSAVI running parameters of an anchor.')
hpicf_savi_objects_port_ip_version = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 1), inet_version())
if mibBuilder.loadTexts:
hpicfSaviObjectsPortIPVersion.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortIPVersion.setDescription('The IP version.')
hpicf_savi_objects_port_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 2), interface_index())
if mibBuilder.loadTexts:
hpicfSaviObjectsPortIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicf_savi_obj_port_dhcp_trust_attr = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enable', 1), ('disable', 2)))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
hpicfSaviObjPortDhcpTrustAttr.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjPortDhcpTrustAttr.setDescription('The DHCP trust attribute of the port. enable(1), the attribute is set. disable(2), the attribute is not set.')
hpicf_savi_objects_port_filtering_num = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 1, 1, 4), unsigned32()).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortFilteringNum.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsPortFilteringNum.setDescription('The max filtering number of the Port.')
hpicf_savi_objects_binding_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2))
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingTable.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingTable.setDescription('The table containing the state of binding between source address and anchor.')
hpicf_savi_objects_binding_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1)).setIndexNames((0, 'HPICF-SAVI-MIB', 'hpicfSaviObjBindingIpAddrType'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingType'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingIfIndex'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingIpAddress'))
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingEntry.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingEntry.setDescription('An entry containing the state of binding between source address and anchor. Entries are keyed on the source IP address type, binding type, anchor, and source IP address.')
hpicf_savi_obj_binding_ip_addr_type = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 1), inet_address_type())
if mibBuilder.loadTexts:
hpicfSaviObjBindingIpAddrType.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjBindingIpAddrType.setDescription('IP address type of the binding source IP.')
hpicf_savi_objects_binding_type = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('manual', 1), ('slaac', 2), ('dhcp', 3), ('send', 4))))
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingType.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingType.setDescription('IP address assignment methods.')
hpicf_savi_objects_binding_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 3), interface_index())
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicf_savi_objects_binding_ip_address = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 4), inet_address().subtype(subtypeSpec=constraints_union(value_size_constraint(4, 4), value_size_constraint(16, 16))))
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingIpAddress.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingIpAddress.setDescription('The binding source IP address.')
hpicf_savi_objects_binding_mac_addr = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 5), mac_address()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingMacAddr.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingMacAddr.setDescription('The binding source mac address.')
hpicf_savi_objects_binding_lifetime = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 6), time_interval()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingLifetime.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingLifetime.setDescription("The remaining lifetime of the entry. TimeInterval is defined in RFC 2579, it's a period of time, measured in units of 0.01 seconds, and the value is (0..2147483647). If hpicfSaviObjectsBindingType=manual, a value of 2147483647 represents infinity.")
hpicf_savi_objects_binding_row_status = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 2, 1, 7), row_status()).setMaxAccess('readcreate')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingRowStatus.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsBindingRowStatus.setDescription('The status of this row, by which new entries may be created, or old entries deleted from this table. An Entry can be created or deleted only when hpicfSaviObjectsBindingType=manual. Row statuses createAndWait(5), notReady(3) and notInService(2) are not supported.')
hpicf_savi_objects_filtering_table = mib_table((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3))
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringTable.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringTable.setDescription('The table containing the filtering entries.')
hpicf_savi_objects_filtering_entry = mib_table_row((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1)).setIndexNames((0, 'HPICF-SAVI-MIB', 'hpicfSaviObjFilteringIpAddrType'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjectsFilteringIfIndex'), (0, 'HPICF-SAVI-MIB', 'hpicfSaviObjFilteringIpAddr'))
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringEntry.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringEntry.setDescription('An entry containing the filtering parameters. Entries are keyed on the source IP address type, anchor, and source IP address.')
hpicf_savi_obj_filtering_ip_addr_type = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 1), inet_address_type())
if mibBuilder.loadTexts:
hpicfSaviObjFilteringIpAddrType.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjFilteringIpAddrType.setDescription('IP address type of the filtering source IP.')
hpicf_savi_objects_filtering_if_index = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 2), interface_index())
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringIfIndex.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringIfIndex.setDescription("The index value that uniquely identifies the interface to which this entry is applicable. The interface identified by a particular value of this index is the same interface as identified by the same value of the IF-MIB's ifIndex.")
hpicf_savi_obj_filtering_ip_addr = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 3), inet_address().subtype(subtypeSpec=constraints_union(value_size_constraint(4, 4), value_size_constraint(16, 16))))
if mibBuilder.loadTexts:
hpicfSaviObjFilteringIpAddr.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjFilteringIpAddr.setDescription('The filtering source IP address.')
hpicf_savi_objects_filtering_mac_addr = mib_table_column((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 1, 3, 1, 4), mac_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringMacAddr.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviObjectsFilteringMacAddr.setDescription('The filtering source mac address.')
hpicf_savi_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2))
hpicf_savi_compliances = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 1))
hpicf_savi_compliance = module_compliance((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 1, 1)).setObjects(('HPICF-SAVI-MIB', 'hpicfSaviportGroup'), ('HPICF-SAVI-MIB', 'hpicfSavibindingGroup'), ('HPICF-SAVI-MIB', 'hpicfSavifilteringGroup'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicf_savi_compliance = hpicfSaviCompliance.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviCompliance.setDescription('The compliance statement for entities which implement hpicfSAVI protocol.')
hpicf_savi_groups = mib_identifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2))
hpicf_saviport_group = object_group((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 1)).setObjects(('HPICF-SAVI-MIB', 'hpicfSaviObjPortDhcpTrustAttr'), ('HPICF-SAVI-MIB', 'hpicfSaviObjectsPortFilteringNum'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicf_saviport_group = hpicfSaviportGroup.setStatus('current')
if mibBuilder.loadTexts:
hpicfSaviportGroup.setDescription('The if group contains objects corresponding to the hpicfSavi running parameters of each anchor.')
hpicf_savibinding_group = object_group((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 2)).setObjects(('HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingMacAddr'), ('HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingLifetime'), ('HPICF-SAVI-MIB', 'hpicfSaviObjectsBindingRowStatus'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicf_savibinding_group = hpicfSavibindingGroup.setStatus('current')
if mibBuilder.loadTexts:
hpicfSavibindingGroup.setDescription('The binding group contains the binding information of anchor and source ip address.')
hpicf_savifiltering_group = object_group((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 5, 2, 1, 2, 2, 3)).setObjects(('HPICF-SAVI-MIB', 'hpicfSaviObjectsFilteringMacAddr'))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
hpicf_savifiltering_group = hpicfSavifilteringGroup.setStatus('current')
if mibBuilder.loadTexts:
hpicfSavifilteringGroup.setDescription('The filtering group contains the filtering information of anchor and source ip address.')
mibBuilder.exportSymbols('HPICF-SAVI-MIB', hpicfSaviObjectsBindingEntry=hpicfSaviObjectsBindingEntry, hpicfSaviObjectsBindingMacAddr=hpicfSaviObjectsBindingMacAddr, hpicfSaviObjPortDhcpTrustAttr=hpicfSaviObjPortDhcpTrustAttr, hpicfSaviGroups=hpicfSaviGroups, hpicfSaviportGroup=hpicfSaviportGroup, hpicfSaviObjectsFilteringIfIndex=hpicfSaviObjectsFilteringIfIndex, hpicfSaviConformance=hpicfSaviConformance, hpicfSaviObjBindingIpAddrType=hpicfSaviObjBindingIpAddrType, hpicfSaviObjFilteringIpAddr=hpicfSaviObjFilteringIpAddr, hpicfSaviObjectsPortIPVersion=hpicfSaviObjectsPortIPVersion, hpicfSaviCompliances=hpicfSaviCompliances, hpicfSaviObjFilteringIpAddrType=hpicfSaviObjFilteringIpAddrType, hpicfSavifilteringGroup=hpicfSavifilteringGroup, hpicfSaviObjectsBindingLifetime=hpicfSaviObjectsBindingLifetime, hpicfSaviObjectsPortFilteringNum=hpicfSaviObjectsPortFilteringNum, PYSNMP_MODULE_ID=hpicfSaviMIB, hpicfSaviMIB=hpicfSaviMIB, hpicfSaviObjectsFilteringMacAddr=hpicfSaviObjectsFilteringMacAddr, hpicfSaviObjectsFilteringEntry=hpicfSaviObjectsFilteringEntry, hpicfSaviObjectsPortEntry=hpicfSaviObjectsPortEntry, hpicfSaviObjectsBindingIfIndex=hpicfSaviObjectsBindingIfIndex, hpicfSaviObjectsBindingType=hpicfSaviObjectsBindingType, hpicfSaviObjectsFilteringTable=hpicfSaviObjectsFilteringTable, hpicfSaviObjectsBindingIpAddress=hpicfSaviObjectsBindingIpAddress, hpicfSaviObjectsPortTable=hpicfSaviObjectsPortTable, hpicfSaviObjectsPortIfIndex=hpicfSaviObjectsPortIfIndex, hpicfSaviCompliance=hpicfSaviCompliance, hpicfSaviObjects=hpicfSaviObjects, hpicfSaviObjectsBindingTable=hpicfSaviObjectsBindingTable, hpicfSaviObjectsBindingRowStatus=hpicfSaviObjectsBindingRowStatus, hpicfSavibindingGroup=hpicfSavibindingGroup) |
__title__ = 'db_cache'
__description__ = 'DB Cache'
__url__ = 'https://github.com/dskrypa/db_cache'
__version__ = '2020.09.19-1'
__author__ = 'Doug Skrypa'
__author_email__ = 'dskrypa@gmail.com'
__copyright__ = 'Copyright 2020 Doug Skrypa'
| __title__ = 'db_cache'
__description__ = 'DB Cache'
__url__ = 'https://github.com/dskrypa/db_cache'
__version__ = '2020.09.19-1'
__author__ = 'Doug Skrypa'
__author_email__ = 'dskrypa@gmail.com'
__copyright__ = 'Copyright 2020 Doug Skrypa' |
'''
Created on 29 Oct 2009
@author: charanpal
An abstract class which reads graphs from files.
'''
class GraphReader(object):
def __init__(self):
pass
def readFromFile(self, fileName):
pass
| """
Created on 29 Oct 2009
@author: charanpal
An abstract class which reads graphs from files.
"""
class Graphreader(object):
def __init__(self):
pass
def read_from_file(self, fileName):
pass |
class FPS:
sum_e=(911660635, 509520358, 369330050, 332049552, 983190778, 123842337, 238493703, 975955924, 603855026, 856644456, 131300601, 842657263, 730768835, 942482514, 806263778, 151565301, 510815449, 503497456, 743006876, 741047443, 56250497)
sum_ie=(86583718, 372528824, 373294451, 645684063, 112220581, 692852209, 155456985, 797128860, 90816748, 860285882, 927414960, 354738543, 109331171, 293255632, 535113200, 308540755, 121186627, 608385704, 438932459, 359477183, 824071951)
mod=998244353
Func=[0]
def __init__(self,L):
self.Func=[x%self.mod for x in L]
def butterfly(self,a):
n=len(a)
h=(n-1).bit_length()
for ph in range(1,h+1):
w=1<<(ph-1)
p=1<<(h-ph)
now=1
for s in range(w):
offset=s<<(h-ph+1)
for i in range(p):
l=a[i+offset]
r=a[i+offset+p]*now
r%=self.mod
a[i+offset]=l+r
a[i+offset]%=self.mod
a[i+offset+p]=l-r
a[i+offset+p]%=self.mod
now*=self.sum_e[(~s & -~s).bit_length()-1]
now%=self.mod
return a
def butterfly_inv(self,a):
n=len(a)
h=(n-1).bit_length()
for ph in range(h,0,-1):
w=1<<(ph-1)
p=1<<(h-ph)
inow=1
for s in range(w):
offset=s<<(h-ph+1)
for i in range(p):
l=a[i+offset]
r=a[i+offset+p]
a[i+offset]=l+r
a[i+offset]%=self.mod
a[i+offset+p]=(l-r)*inow
a[i+offset+p]%=self.mod
inow*=self.sum_ie[(~s & -~s).bit_length()-1]
inow%=self.mod
return a
def __mul__(self,other):
if type(other)==int:
ret=[(x*other)%self.mod for x in self.Func]
return FPS(ret)
a=self.Func
b=other.Func
n=len(a);m=len(b)
if not(a) or not(b):
return FPS([])
if min(n,m)<=40:
if n<m:
n,m=m,n
a,b=b,a
res=[0]*(n+m-1)
for i in range(n):
for j in range(m):
res[i+j]+=a[i]*b[j]
res[i+j]%=self.mod
return FPS(res)
z=1<<((n+m-2).bit_length())
a=a+[0]*(z-n)
b=b+[0]*(z-m)
a=self.butterfly(a)
b=self.butterfly(b)
c=[0]*z
for i in range(z):
c[i]=(a[i]*b[i])%self.mod
self.butterfly_inv(c)
iz=pow(z,self.mod-2,self.mod)
for i in range(n+m-1):
c[i]=(c[i]*iz)%self.mod
return FPS(c[:n+m-1])
def __imul__(self,other):
self=self*other
return self
def __add__(self,other):
res=[0 for i in range(max(len(self.Func),len(other.Func)))]
for i,x in enumerate(self.Func):
res[i]+=x
res[i]%=self.mod
for i,x in enumerate(other.Func):
res[i]+=x
res[i]%=self.mod
return FPS(res)
def __iadd__(self,other):
self=(self+other)
return self
def __sub__(self,other):
res=[0 for i in range(max(len(self.Func),len(other.Func)))]
for i,x in enumerate(self.Func):
res[i]+=x
res[i]%=self.mod
for i,x in enumerate(other.Func):
res[i]-=x
res[i]%=self.mod
return FPS(res)
def __isub__(self,other):
self=self-other
return self
def inv(self,d=-1):
n=len(self.Func)
assert n!=0 and self.Func[0]!=0
if d==-1:d=n
assert d>0
res=[pow(self.Func[0],self.mod-2,self.mod)]
while(len(res)<d):
m=len(res)
f=[self.Func[i] for i in range(min(n,2*m))]
r=res[:]
if len(f)<2*m:
f+=[0]*(2*m-len(f))
elif len(f)>2*m:
f=f[:2*m]
if len(r)<2*m:
r+=[0]*(2*m-len(r))
elif len(r)>2*m:
r=r[:2*m]
f=self.butterfly(f)
r=self.butterfly(r)
for i in range(2*m):
f[i]*=r[i]
f[i]%=self.mod
f=self.butterfly_inv(f)
f=f[m:]
if len(f)<2*m:
f+=[0]*(2*m-len(f))
elif len(f)>2*m:
f=f[:2*m]
f=self.butterfly(f)
for i in range(2*m):
f[i]*=r[i]
f[i]%=self.mod
f=self.butterfly_inv(f)
iz=pow(2*m,self.mod-2,self.mod)
iz*=-iz
iz%=self.mod
for i in range(m):
f[i]*=iz
f[i]%=self.mod
res+=f[:m]
return FPS(res[:d])
def __truediv__(self,other):
if type(other)==int:
invother=pow(other,self.mod-2,self.mod)
ret=[(x*invother)%self.mod for x in self.Func]
return FPS(ret)
assert (other.Func[0]!=0)
return self*(other.inv())
def __itruediv__(self,other):
self=self/other
return self
def __lshift__(self,d):
n=len(self.Func)
self.Func=[0]*d+self.Func
return FPS(self.Func[:n])
def __ilshift__(self,d):
self=self<<d
return self
def __rshift__(self,d):
n=len(self.Func)
self.Func=self.Func[min(n,d):]
self.Func+=[0]*(n-len(self.Func))
return FPS(self.Func)
def __irshift__(self,d):
self=self>>d
return self
def __str__(self):
return f'FPS({self.Func})'
def diff(self):
n=len(self.Func)
ret=[0 for i in range(max(0,n-1))]
for i in range(1,n):
ret[i-1]=(self.Func[i]*i)%self.mod
return FPS(ret)
def integral(self):
n=len(self.Func)
ret=[0 for i in range(n+1)]
for i in range(n):
ret[i+1]=self.Func[i]*pow(i+1,self.mod-2,self.mod)%self.mod
return FPS(ret)
def log(self,deg=-1):
assert self.Func[0]==1
n=len(self.Func)
if deg==-1:deg=n
return (self.diff()*self.inv()).integral()
def mod_sqrt(self,a):
p=self.mod
assert 0<=a and a<p
if a<2:return a
if pow(a,(p-1)//2,p)!=1:return -1
b=1;one=1
while(pow(b,(p-1)>>1,p)==1):
b+=one
m=p-1;e=0
while(m%2==0):
m>>=1
e+=1
x=pow(a,(m-1)>>1,p)
y=(a*x*x)%p
x*=a;
x%=p
z=pow(b,m,p)
while(y!=1):
j=0
t=y
while(t!=one):
j+=1
t*=t
t%=p
z=pow(z,1<<(e-j-1),p)
x*=z
x%=p
z*=z
z%=p
y*=z
y%=p
e=j
return x
def sqrt(self,deg=-1):
n=len(self.Func)
if deg==-1:deg=n
if n==0:return FPS([0 for i in range(deg)])
if self.Func[0]==0:
for i in range(1,n):
if self.Func[i]!=0:
if i&1:return FPS([])
if deg-i//2<=0:break
ret=(self>>i).sqrt(deg-i//2)
if len(ret.Func)==0:return FPS([])
ret=ret<<(i//2)
if len(ret.Func)<deg:
ret.Func+=[0]*(deg-len(ret.Func))
return ret
return FPS([0]*deg)
sqr=self.mod_sqrt(self.Func[0])
if sqr==-1:return FPS([])
assert sqr*sqr%self.mod==self.Func[0]
ret=FPS([sqr])
inv2=(self.mod+1)//2
i=1
while(i<deg):
ret=(ret+FPS(self.Func[:i<<1])*ret.inv(i<<1))*inv2
i<<=1
return FPS(ret.Func[:deg])
def resize(self,deg):
if len(self.Func)<deg:
return FPS(self.Func+[0]*(deg-len(self.Func)))
elif len(self.Func)>deg:
return FPS(self.Func[:deg])
else:
return self
def exp(self,deg=-1):
n=len(self.Func)
assert n>0 and self.Func[0]==0
if deg==-1:deg=n
assert deg>=0
g=[1]
g_fft=[1,1]
self.Func[0]=1
self.resize(deg)
h_drv=self.diff()
m=2
while(m<deg):
f_fft=self.Func[:m]+[0]*m
self.butterfly(f_fft)
#step 2.a
_g=[f_fft[i]*g_fft[i]%self.mod for i in range(m)]
self.butterfly_inv(_g)
_g=_g[m//2:m]+[0]*(m//2)
self.butterfly(_g)
for i in range(m):
_g[i]*=g_fft[i]
_g[i]%=self.mod
self.butterfly_inv(_g)
tmp=pow(-m*m,self.mod-2,self.mod)
for i in range(m):
_g[i]*=tmp
_g[i]%=self.mod
g+=_g[:m//2]
#step 2.b--2.d
t=FPS(self.Func[:m]).diff()
r=h_drv.Func[:m-1]+[0]
self.butterfly(r)
for i in range(m):
r[i]*=f_fft[i]
r[i]%=self.mod
self.butterfly_inv(r)
tmp=pow(-m,self.mod-2,self.mod)
for i in range(m):
r[i]*=tmp
r[i]%=self.mod
t=(t+FPS(r)).Func
t=[t[-1]]+t
t.pop()
#step 2.e
if (2*m<deg):
if len(t)<2*m:
t+=[0]*(2*m-len(t))
elif len(t)>2*m:
t=t[:2*m]
self.butterfly(t)
g_fft=g[:]
if len(g_fft)<2*m:
g_fft+=[0]*(2*m-len(g_fft))
elif len(g_fft)>2*m:
g_fft=g_fft[:2*m]
self.butterfly(g_fft)
for i in range(2*m):
t[i]*=g_fft[i]
t[i]%=self.mod
self.butterfly_inv(t)
tmp=pow(2*m,self.mod-2,self.mod)
t=t[:m]
for i in range(m):
t[i]*=tmp
t[i]%=self.mod
else:
g1=g[m//2:]
s1=t[m//2:]
t=t[:m//2]
g1+=[0]*(m-len(g1))
s1+=[0]*(m-len(s1))
t+=[0]*(m-len(t))
self.butterfly(g1)
self.butterfly(t)
self.butterfly(s1)
for i in range(m):
s1[i]=(g_fft[i]*s1[i]+g1[i]*t[i])%self.mod
for i in range(m):
t[i]*=g_fft[i]
t[i]%=self.mod
self.butterfly_inv(t)
self.butterfly_inv(s1)
for i in range(m//2):
t[i+m//2]+=s1[i]
t[i+m//2]%=self.mod
tmp=pow(m,self.mod-2,self.mod)
for i in range(m):
t[i]*=tmp
t[i]%=self.mod
#step 2.f
v=self.Func[m:min(deg,2*m)]+[0]*(2*m-min(deg,2*m))
t=[0]*(m-1)+t
t=FPS(t).integral().Func
for i in range(m):
v[i]-=t[m+i]
v[i]%=self.mod
#step 2.g
if len(v)<2*m:
v+=[0]*(2*m-len(v))
else:
v=v[:2*m]
self.butterfly(v)
for i in range(2*m):
v[i]*=f_fft[i]
v[i]%=self.mod
self.butterfly_inv(v)
v=v[:m]
tmp=pow(2*m,self.mod-2,self.mod)
for i in range(m):
v[i]*=tmp
v[i]%=self.mod
#step 2.h
for i in range(min(deg-m,m)):
self.Func[m+i]=v[i]
m*=2
return self
def powfps(self,k,deg=-1):
a=self.Func[:]
n=len(self.Func)
l=0
while(l<len(a) and not a[l]):
l+=1
if l*k>=n:
return FPS([0]*n)
ic=pow(a[l],self.mod-2,self.mod)
pc=pow(a[l],k,self.mod)
a=FPS([(a[i]*ic)%self.mod for i in range(l,len(a))]).log()
a*=k
a=a.exp()
a*=pc
a=[0]*(l*k)+a.Func[:n-l*k]
return FPS(a)
| class Fps:
sum_e = (911660635, 509520358, 369330050, 332049552, 983190778, 123842337, 238493703, 975955924, 603855026, 856644456, 131300601, 842657263, 730768835, 942482514, 806263778, 151565301, 510815449, 503497456, 743006876, 741047443, 56250497)
sum_ie = (86583718, 372528824, 373294451, 645684063, 112220581, 692852209, 155456985, 797128860, 90816748, 860285882, 927414960, 354738543, 109331171, 293255632, 535113200, 308540755, 121186627, 608385704, 438932459, 359477183, 824071951)
mod = 998244353
func = [0]
def __init__(self, L):
self.Func = [x % self.mod for x in L]
def butterfly(self, a):
n = len(a)
h = (n - 1).bit_length()
for ph in range(1, h + 1):
w = 1 << ph - 1
p = 1 << h - ph
now = 1
for s in range(w):
offset = s << h - ph + 1
for i in range(p):
l = a[i + offset]
r = a[i + offset + p] * now
r %= self.mod
a[i + offset] = l + r
a[i + offset] %= self.mod
a[i + offset + p] = l - r
a[i + offset + p] %= self.mod
now *= self.sum_e[(~s & -~s).bit_length() - 1]
now %= self.mod
return a
def butterfly_inv(self, a):
n = len(a)
h = (n - 1).bit_length()
for ph in range(h, 0, -1):
w = 1 << ph - 1
p = 1 << h - ph
inow = 1
for s in range(w):
offset = s << h - ph + 1
for i in range(p):
l = a[i + offset]
r = a[i + offset + p]
a[i + offset] = l + r
a[i + offset] %= self.mod
a[i + offset + p] = (l - r) * inow
a[i + offset + p] %= self.mod
inow *= self.sum_ie[(~s & -~s).bit_length() - 1]
inow %= self.mod
return a
def __mul__(self, other):
if type(other) == int:
ret = [x * other % self.mod for x in self.Func]
return fps(ret)
a = self.Func
b = other.Func
n = len(a)
m = len(b)
if not a or not b:
return fps([])
if min(n, m) <= 40:
if n < m:
(n, m) = (m, n)
(a, b) = (b, a)
res = [0] * (n + m - 1)
for i in range(n):
for j in range(m):
res[i + j] += a[i] * b[j]
res[i + j] %= self.mod
return fps(res)
z = 1 << (n + m - 2).bit_length()
a = a + [0] * (z - n)
b = b + [0] * (z - m)
a = self.butterfly(a)
b = self.butterfly(b)
c = [0] * z
for i in range(z):
c[i] = a[i] * b[i] % self.mod
self.butterfly_inv(c)
iz = pow(z, self.mod - 2, self.mod)
for i in range(n + m - 1):
c[i] = c[i] * iz % self.mod
return fps(c[:n + m - 1])
def __imul__(self, other):
self = self * other
return self
def __add__(self, other):
res = [0 for i in range(max(len(self.Func), len(other.Func)))]
for (i, x) in enumerate(self.Func):
res[i] += x
res[i] %= self.mod
for (i, x) in enumerate(other.Func):
res[i] += x
res[i] %= self.mod
return fps(res)
def __iadd__(self, other):
self = self + other
return self
def __sub__(self, other):
res = [0 for i in range(max(len(self.Func), len(other.Func)))]
for (i, x) in enumerate(self.Func):
res[i] += x
res[i] %= self.mod
for (i, x) in enumerate(other.Func):
res[i] -= x
res[i] %= self.mod
return fps(res)
def __isub__(self, other):
self = self - other
return self
def inv(self, d=-1):
n = len(self.Func)
assert n != 0 and self.Func[0] != 0
if d == -1:
d = n
assert d > 0
res = [pow(self.Func[0], self.mod - 2, self.mod)]
while len(res) < d:
m = len(res)
f = [self.Func[i] for i in range(min(n, 2 * m))]
r = res[:]
if len(f) < 2 * m:
f += [0] * (2 * m - len(f))
elif len(f) > 2 * m:
f = f[:2 * m]
if len(r) < 2 * m:
r += [0] * (2 * m - len(r))
elif len(r) > 2 * m:
r = r[:2 * m]
f = self.butterfly(f)
r = self.butterfly(r)
for i in range(2 * m):
f[i] *= r[i]
f[i] %= self.mod
f = self.butterfly_inv(f)
f = f[m:]
if len(f) < 2 * m:
f += [0] * (2 * m - len(f))
elif len(f) > 2 * m:
f = f[:2 * m]
f = self.butterfly(f)
for i in range(2 * m):
f[i] *= r[i]
f[i] %= self.mod
f = self.butterfly_inv(f)
iz = pow(2 * m, self.mod - 2, self.mod)
iz *= -iz
iz %= self.mod
for i in range(m):
f[i] *= iz
f[i] %= self.mod
res += f[:m]
return fps(res[:d])
def __truediv__(self, other):
if type(other) == int:
invother = pow(other, self.mod - 2, self.mod)
ret = [x * invother % self.mod for x in self.Func]
return fps(ret)
assert other.Func[0] != 0
return self * other.inv()
def __itruediv__(self, other):
self = self / other
return self
def __lshift__(self, d):
n = len(self.Func)
self.Func = [0] * d + self.Func
return fps(self.Func[:n])
def __ilshift__(self, d):
self = self << d
return self
def __rshift__(self, d):
n = len(self.Func)
self.Func = self.Func[min(n, d):]
self.Func += [0] * (n - len(self.Func))
return fps(self.Func)
def __irshift__(self, d):
self = self >> d
return self
def __str__(self):
return f'FPS({self.Func})'
def diff(self):
n = len(self.Func)
ret = [0 for i in range(max(0, n - 1))]
for i in range(1, n):
ret[i - 1] = self.Func[i] * i % self.mod
return fps(ret)
def integral(self):
n = len(self.Func)
ret = [0 for i in range(n + 1)]
for i in range(n):
ret[i + 1] = self.Func[i] * pow(i + 1, self.mod - 2, self.mod) % self.mod
return fps(ret)
def log(self, deg=-1):
assert self.Func[0] == 1
n = len(self.Func)
if deg == -1:
deg = n
return (self.diff() * self.inv()).integral()
def mod_sqrt(self, a):
p = self.mod
assert 0 <= a and a < p
if a < 2:
return a
if pow(a, (p - 1) // 2, p) != 1:
return -1
b = 1
one = 1
while pow(b, p - 1 >> 1, p) == 1:
b += one
m = p - 1
e = 0
while m % 2 == 0:
m >>= 1
e += 1
x = pow(a, m - 1 >> 1, p)
y = a * x * x % p
x *= a
x %= p
z = pow(b, m, p)
while y != 1:
j = 0
t = y
while t != one:
j += 1
t *= t
t %= p
z = pow(z, 1 << e - j - 1, p)
x *= z
x %= p
z *= z
z %= p
y *= z
y %= p
e = j
return x
def sqrt(self, deg=-1):
n = len(self.Func)
if deg == -1:
deg = n
if n == 0:
return fps([0 for i in range(deg)])
if self.Func[0] == 0:
for i in range(1, n):
if self.Func[i] != 0:
if i & 1:
return fps([])
if deg - i // 2 <= 0:
break
ret = (self >> i).sqrt(deg - i // 2)
if len(ret.Func) == 0:
return fps([])
ret = ret << i // 2
if len(ret.Func) < deg:
ret.Func += [0] * (deg - len(ret.Func))
return ret
return fps([0] * deg)
sqr = self.mod_sqrt(self.Func[0])
if sqr == -1:
return fps([])
assert sqr * sqr % self.mod == self.Func[0]
ret = fps([sqr])
inv2 = (self.mod + 1) // 2
i = 1
while i < deg:
ret = (ret + fps(self.Func[:i << 1]) * ret.inv(i << 1)) * inv2
i <<= 1
return fps(ret.Func[:deg])
def resize(self, deg):
if len(self.Func) < deg:
return fps(self.Func + [0] * (deg - len(self.Func)))
elif len(self.Func) > deg:
return fps(self.Func[:deg])
else:
return self
def exp(self, deg=-1):
n = len(self.Func)
assert n > 0 and self.Func[0] == 0
if deg == -1:
deg = n
assert deg >= 0
g = [1]
g_fft = [1, 1]
self.Func[0] = 1
self.resize(deg)
h_drv = self.diff()
m = 2
while m < deg:
f_fft = self.Func[:m] + [0] * m
self.butterfly(f_fft)
_g = [f_fft[i] * g_fft[i] % self.mod for i in range(m)]
self.butterfly_inv(_g)
_g = _g[m // 2:m] + [0] * (m // 2)
self.butterfly(_g)
for i in range(m):
_g[i] *= g_fft[i]
_g[i] %= self.mod
self.butterfly_inv(_g)
tmp = pow(-m * m, self.mod - 2, self.mod)
for i in range(m):
_g[i] *= tmp
_g[i] %= self.mod
g += _g[:m // 2]
t = fps(self.Func[:m]).diff()
r = h_drv.Func[:m - 1] + [0]
self.butterfly(r)
for i in range(m):
r[i] *= f_fft[i]
r[i] %= self.mod
self.butterfly_inv(r)
tmp = pow(-m, self.mod - 2, self.mod)
for i in range(m):
r[i] *= tmp
r[i] %= self.mod
t = (t + fps(r)).Func
t = [t[-1]] + t
t.pop()
if 2 * m < deg:
if len(t) < 2 * m:
t += [0] * (2 * m - len(t))
elif len(t) > 2 * m:
t = t[:2 * m]
self.butterfly(t)
g_fft = g[:]
if len(g_fft) < 2 * m:
g_fft += [0] * (2 * m - len(g_fft))
elif len(g_fft) > 2 * m:
g_fft = g_fft[:2 * m]
self.butterfly(g_fft)
for i in range(2 * m):
t[i] *= g_fft[i]
t[i] %= self.mod
self.butterfly_inv(t)
tmp = pow(2 * m, self.mod - 2, self.mod)
t = t[:m]
for i in range(m):
t[i] *= tmp
t[i] %= self.mod
else:
g1 = g[m // 2:]
s1 = t[m // 2:]
t = t[:m // 2]
g1 += [0] * (m - len(g1))
s1 += [0] * (m - len(s1))
t += [0] * (m - len(t))
self.butterfly(g1)
self.butterfly(t)
self.butterfly(s1)
for i in range(m):
s1[i] = (g_fft[i] * s1[i] + g1[i] * t[i]) % self.mod
for i in range(m):
t[i] *= g_fft[i]
t[i] %= self.mod
self.butterfly_inv(t)
self.butterfly_inv(s1)
for i in range(m // 2):
t[i + m // 2] += s1[i]
t[i + m // 2] %= self.mod
tmp = pow(m, self.mod - 2, self.mod)
for i in range(m):
t[i] *= tmp
t[i] %= self.mod
v = self.Func[m:min(deg, 2 * m)] + [0] * (2 * m - min(deg, 2 * m))
t = [0] * (m - 1) + t
t = fps(t).integral().Func
for i in range(m):
v[i] -= t[m + i]
v[i] %= self.mod
if len(v) < 2 * m:
v += [0] * (2 * m - len(v))
else:
v = v[:2 * m]
self.butterfly(v)
for i in range(2 * m):
v[i] *= f_fft[i]
v[i] %= self.mod
self.butterfly_inv(v)
v = v[:m]
tmp = pow(2 * m, self.mod - 2, self.mod)
for i in range(m):
v[i] *= tmp
v[i] %= self.mod
for i in range(min(deg - m, m)):
self.Func[m + i] = v[i]
m *= 2
return self
def powfps(self, k, deg=-1):
a = self.Func[:]
n = len(self.Func)
l = 0
while l < len(a) and (not a[l]):
l += 1
if l * k >= n:
return fps([0] * n)
ic = pow(a[l], self.mod - 2, self.mod)
pc = pow(a[l], k, self.mod)
a = fps([a[i] * ic % self.mod for i in range(l, len(a))]).log()
a *= k
a = a.exp()
a *= pc
a = [0] * (l * k) + a.Func[:n - l * k]
return fps(a) |
def build_shopkeeper_dialog(scene, buyer, seller):
class ItemDisplay(gui.BorderedControl):
def __init__(self, item, depreciate=True, **kwargs):
gui.BorderedControl.__init__(self, **kwargs)
self.item = item
self.depreciate = depreciate
self._initComponents()
def _initComponents(self):
fc = (0,0,0)
# Item Image
image = gui.Image(parent=self, surface=self.item.image, width=50, height=50, borderWidth=2)
# Item Name
name = gui.Label(parent=self, text=self.item.name, fontColor=fc)
# Item Count (if greater than 1)
self.count = gui.Label(parent=self, text="Count: %d" % self.item.count if self.item.count > 0 else "", fontColor=fc)
# Item Cost
value = self.item.worth if self.depreciate else self.item.fullValue
cost = gui.Label(parent=self, text="Cost: %d" % value, fontColor=fc)
# position the controls
image.x, image.y = 10, 10
name.x = image.right + 5
name.y = image.y+(image.height-name.height)/2
self.count.x = image.x
self.count.y = image.bottom + 5
cost.x = self.count.x
cost.y = self.count.bottom + 5
self.add(image)
self.add(name)
self.add(self.count)
self.add(cost)
class ShopInterface(gui.Application):
'''Constructs a shop interface based on a passed in actor's inventory.'''
def __init__(self, scene, buyer, seller, **kwargs):
gui.Application.__init__(self, **kwargs)
if 'backgroundColor' not in kwargs: self.backgroundColor = (0,0,0,50)
self.scene = scene
self.buyer = buyer
self.seller = seller
self.itemDisplayShown = None
self.itemDisplayLabel = None
self._initComponents()
def __repr__(self): return 'ShopInterface'
def _initComponents(self):
# title
title = gui.Label(text='Storekeeper Interface for %s' % self.seller.name, parent=self)
title.x = 10
title.y = 10
self.add(title)
# buyer/seller lists container
self.frame = gui.BorderedControl(parent=self)
# buyer's title
buyerTitle = gui.Label(text="%s's Inventory" % self.buyer.name, parent=self.frame)
buyerTitle.x = 10
buyerTitle.y = 10
# buyer's money
self.buyerMoney = gui.Label(text='Money: %s' % self.buyer.money, parent=self.frame)
self.buyerMoney.x = buyerTitle.x
self.buyerMoney.y = buyerTitle.bottom + 10
# build the buyer list
self.buyerList = gui.ListBox(parent=self.frame, width=300, height=300)
self.buyerList.x = self.buyerMoney.x
self.buyerList.y = self.buyerMoney.bottom + 10
# buy/sell buttons
self.buyButton = gui.Button(text="Buy", width=50, height=50)
self.buyButton.callback = self.buyButtonCb
self.sellButton = gui.Button(text="Sell", width=50, height=50)
self.sellButton.callback = self.sellButtonCb
self.buyButton.x = self.buyerList.right + 10
self.buyButton.y = self.buyerList.y + self.buyerList.height / 3
self.sellButton.x = self.buyButton.x
self.sellButton.y = self.buyButton.bottom + 10
# seller's title
sellerTitle = gui.Label(text="%s's Inventory" % self.seller.name, parent=self.frame)
sellerTitle.y = 10
sellerTitle.x = self.buyButton.right + 10
sellerTitle.y = buyerTitle.y
# seller's money
self.sellerMoney = gui.Label(text="Money: %s" % self.seller.money, parent=self.frame)
self.sellerMoney.x = sellerTitle.x
self.sellerMoney.y = sellerTitle.bottom + 10
# build the seller list
self.sellerList = gui.ListBox(parent=self.frame, width=300, height=300)
self.sellerList.x = self.sellerMoney.x
self.sellerList.y = self.sellerMoney.bottom + 10
self.frame.add(buyerTitle)
self.frame.add(self.buyerMoney)
self.frame.add(self.buyerList)
self.frame.add(self.buyButton)
self.frame.add(self.sellButton)
self.frame.add(sellerTitle)
self.frame.add(self.sellerMoney)
self.frame.add(self.sellerList)
self.frame.width = max(self.frame.width, 10+self.buyerList.width+10+self.buyButton.width+10+self.sellerList.width+10)
self.frame.height = max(self.frame.height, buyerTitle.height + self.buyerMoney.height + self.buyerList.height + 40)
self.frame.x = (self.width-self.frame.width)/2
self.frame.y = (self.height-self.frame.height)/2
# done button
doneButton = gui.Button(text="Done", callback=lambda x,y: y.ancestor.exit(), parent=self, width=100, height=50)
doneButton.x = self.frame.right - doneButton.width
doneButton.y = self.frame.bottom + 10
self.add(doneButton)
self.add(self.frame)
self.populateList(self.buyerList, self.buyer, True)
self.populateList(self.sellerList, self.seller, False)
def populateList(self, list, actor, buyer):
for item in actor.inventory.stowed:
if item.count <= 0: continue
id = ItemDisplay(item, buyer)
id.borderRenderer = gui.RoundBorderRenderer(id, borderWidth=2, backgroundColor=(255,255,255))
id.borderRenderer.cornerRadius = 20
id.width = self.frame.width - 20
id.y = 10
id.height = self.frame.y - 20
id.x = (self.width-id.width)/2
id.show = False
self.add(id)
lbl = gui.Label(text=item.name, width=list.width)
ih = self.ItemHover(self, id, lbl, buyer)
lbl.clicked = ih.clicked
list.add(lbl)
def redraw(self):
self.buyerMoney.text = 'Money: %s' % self.buyer.money
self.sellerMoney.text = 'Money: %s' % self.seller.money
self.itemDisplayShown.show = False
self.buyerList.removeAllChildren()
self.populateList(self.buyerList, self.buyer, True)
self.sellerList.removeAllChildren()
self.populateList(self.sellerList, self.seller, False)
def buyButtonCb(self, event, control):
item = self.itemDisplayShown.item
if self.buyer.canBuyItem(item):
ynd = gui.Dialog.createYesNoDialog('Are you sure you want to buy the %s?' % item.name)
ynd.run()
if ynd.result: self.buyer.buyItem(self.seller, item)
else:
gui.Dialog.createOkDialog('You cannot afford to buy the %s.' % item.name).run()
self.redraw()
def sellButtonCb(self, event, control):
item = self.itemDisplayShown.item
if self.seller.canBuyItem(item, False):
ynd = gui.Dialog.createYesNoDialog('Are you sure you want to sell the %s?' % item.name)
ynd.run()
if ynd.result: self.seller.buyItem(self.buyer, item, False)
else:
gui.Dialog.createOkDialog('%s cannot afford to buy the %s.' % (seller.name, item.name)).run()
self.redraw()
class ItemHover:
def __init__(self, app, itemDisplay, label, buyer=True):
self.app = app
self.id = itemDisplay
self.label = label
self.buyer = buyer
self.origBuyClicked = None
self.origSellClicked = None
def clicked(self, event, control):
if self.app.itemDisplayShown:
self.app.itemDisplayShown.show = False
if self.app.itemDisplayLabel:
self.app.itemDisplayLabel.backgroundColor = (0,0,0,0)
self.id.show = True
self.label.backgroundColor = (0,0,0,50)
self.app.itemDisplayShown = self.id
self.app.itemDisplayLabel = self.label
if self.buyer:
self.app.buyButton.enabled = False
self.app.sellButton.enabled = True
else:
self.app.buyButton.enabled = True
self.app.sellButton.enabled = False
def mouseEnter(self, event): self.id.show = True
def mouseLeave(self, event): self.id.show = False
return ShopInterface(scene, buyer, seller)
def speak(otherFuncs, actor, scene):
scene.playDialog(actor, 'I have a few items I can sell...')
otherFuncs.build_shopkeeper_dialog(scene, scene.player, actor).run() | def build_shopkeeper_dialog(scene, buyer, seller):
class Itemdisplay(gui.BorderedControl):
def __init__(self, item, depreciate=True, **kwargs):
gui.BorderedControl.__init__(self, **kwargs)
self.item = item
self.depreciate = depreciate
self._initComponents()
def _init_components(self):
fc = (0, 0, 0)
image = gui.Image(parent=self, surface=self.item.image, width=50, height=50, borderWidth=2)
name = gui.Label(parent=self, text=self.item.name, fontColor=fc)
self.count = gui.Label(parent=self, text='Count: %d' % self.item.count if self.item.count > 0 else '', fontColor=fc)
value = self.item.worth if self.depreciate else self.item.fullValue
cost = gui.Label(parent=self, text='Cost: %d' % value, fontColor=fc)
(image.x, image.y) = (10, 10)
name.x = image.right + 5
name.y = image.y + (image.height - name.height) / 2
self.count.x = image.x
self.count.y = image.bottom + 5
cost.x = self.count.x
cost.y = self.count.bottom + 5
self.add(image)
self.add(name)
self.add(self.count)
self.add(cost)
class Shopinterface(gui.Application):
"""Constructs a shop interface based on a passed in actor's inventory."""
def __init__(self, scene, buyer, seller, **kwargs):
gui.Application.__init__(self, **kwargs)
if 'backgroundColor' not in kwargs:
self.backgroundColor = (0, 0, 0, 50)
self.scene = scene
self.buyer = buyer
self.seller = seller
self.itemDisplayShown = None
self.itemDisplayLabel = None
self._initComponents()
def __repr__(self):
return 'ShopInterface'
def _init_components(self):
title = gui.Label(text='Storekeeper Interface for %s' % self.seller.name, parent=self)
title.x = 10
title.y = 10
self.add(title)
self.frame = gui.BorderedControl(parent=self)
buyer_title = gui.Label(text="%s's Inventory" % self.buyer.name, parent=self.frame)
buyerTitle.x = 10
buyerTitle.y = 10
self.buyerMoney = gui.Label(text='Money: %s' % self.buyer.money, parent=self.frame)
self.buyerMoney.x = buyerTitle.x
self.buyerMoney.y = buyerTitle.bottom + 10
self.buyerList = gui.ListBox(parent=self.frame, width=300, height=300)
self.buyerList.x = self.buyerMoney.x
self.buyerList.y = self.buyerMoney.bottom + 10
self.buyButton = gui.Button(text='Buy', width=50, height=50)
self.buyButton.callback = self.buyButtonCb
self.sellButton = gui.Button(text='Sell', width=50, height=50)
self.sellButton.callback = self.sellButtonCb
self.buyButton.x = self.buyerList.right + 10
self.buyButton.y = self.buyerList.y + self.buyerList.height / 3
self.sellButton.x = self.buyButton.x
self.sellButton.y = self.buyButton.bottom + 10
seller_title = gui.Label(text="%s's Inventory" % self.seller.name, parent=self.frame)
sellerTitle.y = 10
sellerTitle.x = self.buyButton.right + 10
sellerTitle.y = buyerTitle.y
self.sellerMoney = gui.Label(text='Money: %s' % self.seller.money, parent=self.frame)
self.sellerMoney.x = sellerTitle.x
self.sellerMoney.y = sellerTitle.bottom + 10
self.sellerList = gui.ListBox(parent=self.frame, width=300, height=300)
self.sellerList.x = self.sellerMoney.x
self.sellerList.y = self.sellerMoney.bottom + 10
self.frame.add(buyerTitle)
self.frame.add(self.buyerMoney)
self.frame.add(self.buyerList)
self.frame.add(self.buyButton)
self.frame.add(self.sellButton)
self.frame.add(sellerTitle)
self.frame.add(self.sellerMoney)
self.frame.add(self.sellerList)
self.frame.width = max(self.frame.width, 10 + self.buyerList.width + 10 + self.buyButton.width + 10 + self.sellerList.width + 10)
self.frame.height = max(self.frame.height, buyerTitle.height + self.buyerMoney.height + self.buyerList.height + 40)
self.frame.x = (self.width - self.frame.width) / 2
self.frame.y = (self.height - self.frame.height) / 2
done_button = gui.Button(text='Done', callback=lambda x, y: y.ancestor.exit(), parent=self, width=100, height=50)
doneButton.x = self.frame.right - doneButton.width
doneButton.y = self.frame.bottom + 10
self.add(doneButton)
self.add(self.frame)
self.populateList(self.buyerList, self.buyer, True)
self.populateList(self.sellerList, self.seller, False)
def populate_list(self, list, actor, buyer):
for item in actor.inventory.stowed:
if item.count <= 0:
continue
id = item_display(item, buyer)
id.borderRenderer = gui.RoundBorderRenderer(id, borderWidth=2, backgroundColor=(255, 255, 255))
id.borderRenderer.cornerRadius = 20
id.width = self.frame.width - 20
id.y = 10
id.height = self.frame.y - 20
id.x = (self.width - id.width) / 2
id.show = False
self.add(id)
lbl = gui.Label(text=item.name, width=list.width)
ih = self.ItemHover(self, id, lbl, buyer)
lbl.clicked = ih.clicked
list.add(lbl)
def redraw(self):
self.buyerMoney.text = 'Money: %s' % self.buyer.money
self.sellerMoney.text = 'Money: %s' % self.seller.money
self.itemDisplayShown.show = False
self.buyerList.removeAllChildren()
self.populateList(self.buyerList, self.buyer, True)
self.sellerList.removeAllChildren()
self.populateList(self.sellerList, self.seller, False)
def buy_button_cb(self, event, control):
item = self.itemDisplayShown.item
if self.buyer.canBuyItem(item):
ynd = gui.Dialog.createYesNoDialog('Are you sure you want to buy the %s?' % item.name)
ynd.run()
if ynd.result:
self.buyer.buyItem(self.seller, item)
else:
gui.Dialog.createOkDialog('You cannot afford to buy the %s.' % item.name).run()
self.redraw()
def sell_button_cb(self, event, control):
item = self.itemDisplayShown.item
if self.seller.canBuyItem(item, False):
ynd = gui.Dialog.createYesNoDialog('Are you sure you want to sell the %s?' % item.name)
ynd.run()
if ynd.result:
self.seller.buyItem(self.buyer, item, False)
else:
gui.Dialog.createOkDialog('%s cannot afford to buy the %s.' % (seller.name, item.name)).run()
self.redraw()
class Itemhover:
def __init__(self, app, itemDisplay, label, buyer=True):
self.app = app
self.id = itemDisplay
self.label = label
self.buyer = buyer
self.origBuyClicked = None
self.origSellClicked = None
def clicked(self, event, control):
if self.app.itemDisplayShown:
self.app.itemDisplayShown.show = False
if self.app.itemDisplayLabel:
self.app.itemDisplayLabel.backgroundColor = (0, 0, 0, 0)
self.id.show = True
self.label.backgroundColor = (0, 0, 0, 50)
self.app.itemDisplayShown = self.id
self.app.itemDisplayLabel = self.label
if self.buyer:
self.app.buyButton.enabled = False
self.app.sellButton.enabled = True
else:
self.app.buyButton.enabled = True
self.app.sellButton.enabled = False
def mouse_enter(self, event):
self.id.show = True
def mouse_leave(self, event):
self.id.show = False
return shop_interface(scene, buyer, seller)
def speak(otherFuncs, actor, scene):
scene.playDialog(actor, 'I have a few items I can sell...')
otherFuncs.build_shopkeeper_dialog(scene, scene.player, actor).run() |
input_file = 'input.txt'
def process_input():
with open(input_file) as f:
content = f.readlines()
# stripping whitespace
stripped = [x.strip() for x in content]
return stripped
def build_rules(raw):
# converts the line-by-line representation
# into a dictionary, keyed by the bag (e.g. "mirrored black")
# with each value being an array of tuples, (bag name, freq)
# where each tuple corresponds with one type of bag it contains,
# and has the bag name + the frequency
# O(n * m), where n is the num of lines, and m is the avg number of bags
# each bag contains
rules = {}
for line in raw:
# first, splits into current bag and the bags it contains
spl = line.split(" bags contain")
current = spl[0]
buffer = []
if "no other bags" not in spl[1]:
# now, split on the bags it contains
inner = spl[1].split(",")
for bag_str in inner:
# a little ugly, but create the tuple described above
bag = bag_str.split()
buffer.append(("{} {}".format(bag[1], bag[2]), int(bag[0])))
rules[current] = buffer
return rules
# # for posterity - my failed attempt at a recursive search
# def recur_search(rules, search, current):
# if len(rules[current]) == 0:
# return 0
# elif current == search:
# return 1
# else:
# ans = 0
# for bag in rules[current]:
# ans += recur_search(rules, search, bag[0])
# return ans
def part_one(rules, search):
# not my favourite approach here, but basically a mark-and-sweep style
# in each iteration of the while loop,
# loop through each type of bag
# if we haven't confirmed it contains our bag,
# check all of its bags, and see if we know any of them;
# if so, add it to our set of bags that contain search
# repeat until one iteration adds no new bags to our known set
# time complexity: pretty bad, but ~ O(n * t)
# where n is number of bags, and t is the tree-depth of the
# bag inheritance tree (approximates number of times while loop runs)
ans = 0
contained = set([search])
diff = 1
while diff > 0:
diff = 0
for bag in rules.keys():
if bag not in contained:
for inner in rules[bag]:
if inner[0] in contained:
contained.add(bag)
diff += 1
break
# sub 1 because the bag itself doesn't count
return len(contained) - 1
def count_nested_bags(rules, current):
# simple recursive function that counts how many bags are contained
# within one 'current' bag, including itself
# one iteration has O(m) complexity with m average bags per bag
# in total, expect to call it O(n * m * t) times, with n bags,
# m avg bags, and t average tree-depth of bag tree
if len(rules[current]) == 0:
return 1
else:
# note the add 1 - we count ourselves
return sum(map(lambda x: x[1] * count_nested_bags(rules, x[0]), rules[current])) + 1
def part_two(rules, search):
# see above; subtract one since we don't count our original bag
return count_nested_bags(rules, search) - 1
def main():
raw = process_input()
rules = build_rules(raw)
p1 = part_one(rules, "shiny gold")
print("P1: the total number of outer bags is {}".format(p1))
p2 = part_two(rules, "shiny gold")
print("P2: the total number of inner bags {}".format(p2))
if __name__ == "__main__":
main()
| input_file = 'input.txt'
def process_input():
with open(input_file) as f:
content = f.readlines()
stripped = [x.strip() for x in content]
return stripped
def build_rules(raw):
rules = {}
for line in raw:
spl = line.split(' bags contain')
current = spl[0]
buffer = []
if 'no other bags' not in spl[1]:
inner = spl[1].split(',')
for bag_str in inner:
bag = bag_str.split()
buffer.append(('{} {}'.format(bag[1], bag[2]), int(bag[0])))
rules[current] = buffer
return rules
def part_one(rules, search):
ans = 0
contained = set([search])
diff = 1
while diff > 0:
diff = 0
for bag in rules.keys():
if bag not in contained:
for inner in rules[bag]:
if inner[0] in contained:
contained.add(bag)
diff += 1
break
return len(contained) - 1
def count_nested_bags(rules, current):
if len(rules[current]) == 0:
return 1
else:
return sum(map(lambda x: x[1] * count_nested_bags(rules, x[0]), rules[current])) + 1
def part_two(rules, search):
return count_nested_bags(rules, search) - 1
def main():
raw = process_input()
rules = build_rules(raw)
p1 = part_one(rules, 'shiny gold')
print('P1: the total number of outer bags is {}'.format(p1))
p2 = part_two(rules, 'shiny gold')
print('P2: the total number of inner bags {}'.format(p2))
if __name__ == '__main__':
main() |
# Enter your code here. Read input from STDIN. Print output to STDOUT
n_input = input()
int_input = input().split()
print(all([int(i) > 0 for i in int_input]) and any([j == j[::-1] for j in int_input]))
| n_input = input()
int_input = input().split()
print(all([int(i) > 0 for i in int_input]) and any([j == j[::-1] for j in int_input])) |
# Class Method
class sample:
x = 10
@classmethod
def modify(cls):
cls.x += 1
s1 = Sample()
s2 = Sample()
print(s1.x, s2.x)
s1.modify()
print(s1.x, s2.x)
s1.x += 1
print(s1.x, s2.x)
| class Sample:
x = 10
@classmethod
def modify(cls):
cls.x += 1
s1 = sample()
s2 = sample()
print(s1.x, s2.x)
s1.modify()
print(s1.x, s2.x)
s1.x += 1
print(s1.x, s2.x) |
# Settings for finals
# Foreign language classes for finals logic
FOREIGN_LANGUAGES = {
'ARABIC': ['100A', '100B', '1A', '1B', '20A', '20B'],
'ARMENI': ['101A', '101B', '1A', '1B'],
'BANGLA': ['101A', '101B', '1A', '1B'],
'BERMESE': ['1A', '1B'],
'BOSCRSR': ['117A', '117B', '27A', '27B'],
'BULGARI': ['118A', '118B', '28A', '28B'],
'CATALAN': ['101', '102'],
'CELTIC': ['16', '85', '86', '144A', '144B', '145A', '145B', '146A', '146B'],
'CHINESE': ['1A', '1B', '1X', '1Y', '10A', '10B', '10X', '10Y', '100A', '100B', '100XA', '100XB'],
'CUNEIF': ['100A', '100B', '102A', '102B', '200A', '200B'],
'CZECH': ['116A', '116B', '26A', '26B'],
'DANISH': ['1A', '1B'],
'DUTCH': ['1', '2', '110'],
'EGYPT': ['100A', '100B', '101A', '101B'],
'FILIPN': ['100A', '100B', '101A', '101B', '1A', '1B'],
'FINNISH': ['102A', '102B', '1A', '1B'],
'FRENCH': ['1', '2', '3', '4', '14'],
'GERMAN': ['1', '2', '3', '4', '101', '102', '102A', '102D', '110', '2', '3', '4'],
'GREEK': ['1', '2', '10'],
'HEBREW': ['100A', '100B', '106A', '106B', '1A', '1B', '20A', '20B'],
'HIN-URD': ['1A', '1B', '2A', '2B', '100A', '100B', '103A', '103B', '104A', '104B'],
'HUNGARI': ['1A', '1B'],
'ICELAND': ['1A', '1B'],
'ITALIAN': ['1', '1S', '2', '3', '4', '12'],
'JAPAN': ['100A', '100B', '100X', '10A', '10B', '10X', '1A', '1B'],
'JEWISH': ['101'],
'KHMER': ['100A', '100B', '101A', '101B', '1A', '1B'],
'KOREAN': ['1A', '1AX', '1B', '1BX', '10A', '10AX', '10B', '100A', '10BX', '100AX', '100B', '100BX'],
'LATIN': ['1', '2'],
'MALAY/I': ['100A', '100B', '1A', '1B'],
'MONGOLN': ['1A', '1B'],
'NORWEGN': ['1A', '1B'],
'PERSIAN': ['100A', '100B', '1A', '1B', '20A', '20B'],
'POLISH': ['115A', '155B', '25A', '25B'],
'PORTUG': ['101A', '102', '11', '12', '26', '8'],
'PUNJABI': ['100A', '100B', '1A', '1B'],
'ROMANI': ['102A', '102B', '1A', '1B'],
'RUSSIAN': ['1', '103A', '103B', '2', '3', '4', '6A', '6B'],
'SANSKR': ['100A', '100B', '101A', '101B', '101C'],
'SCANDIN': ['101A', '101B'],
'SEMETIC': ['100A', '100B', '205A', '205B'],
'SPANISH': ['1', '12', '2', '21', '22', '26', '3', '4', '8'],
'SWEDISH': ['1A', '1B'],
'TAMIL': ['101A', '101B', '1A', '1B'],
'TELUGU': ['1A', '1B'],
'THAI': ['100A', '100B', '101A', '101B', '1A', '1B'],
'TIBETAN': ['10A', '10B', '1A', '1B'],
'TURKISH': ['100A', '100B', '10A', '1A', '1B'],
'VIETNMS': ['100A', '100B', '101A', '101B', '1A', '1B'],
'YIDDISH': ['101'],
}
# Standard final times for every semester
FINAL_TIMES = {
"Monday8-11AM": (1, "08:00:00", "11:00:00"),
"Monday11:30-2:30PM": (1, "11:30:00", "14:30:00"),
"Monday3-6PM": (1, "15:00:00", "18:00:00"),
"Monday7-10PM": (1, "19:00:00", "22:00:00"),
"Tuesday8-11AM": (2, "08:00:00", "11:00:00"),
"Tuesday11:30-2:30PM": (2, "11:30:00", "14:30:00"),
"Tuesday3-6PM": (2, "15:00:00", "18:00:00"),
"Tuesday7-10PM": (2, "19:00:00", "22:00:00"),
"Wednesday8-11AM": (3, "08:00:00", "11:00:00"),
"Wednesday11:30-2:30PM": (3, "11:30:00", "14:30:00"),
"Wednesday3-6PM": (3, "15:00:00", "18:00:00"),
"Wednesday7-10PM": (3, "19:00:00", "22:00:00"),
"Thursday8-11AM": (4, "08:00:00", "11:00:00"),
"Thursday11:30-2:30PM": (4, "11:30:00", "14:30:00"),
"Thursday3-6PM": (4, "15:00:00", "18:00:00"),
"Thursday7-10PM": (4, "19:00:00", "22:00:00"),
"Friday8-11AM": (5, "08:00:00", "11:00:00"),
"Friday11:30-2:30PM": (5, "11:30:00", "14:30:00"),
"Friday3-6PM": (5, "15:00:00", "18:00:00"),
"Friday7-10PM": (5, "19:00:00", "22:00:00"),
}
| foreign_languages = {'ARABIC': ['100A', '100B', '1A', '1B', '20A', '20B'], 'ARMENI': ['101A', '101B', '1A', '1B'], 'BANGLA': ['101A', '101B', '1A', '1B'], 'BERMESE': ['1A', '1B'], 'BOSCRSR': ['117A', '117B', '27A', '27B'], 'BULGARI': ['118A', '118B', '28A', '28B'], 'CATALAN': ['101', '102'], 'CELTIC': ['16', '85', '86', '144A', '144B', '145A', '145B', '146A', '146B'], 'CHINESE': ['1A', '1B', '1X', '1Y', '10A', '10B', '10X', '10Y', '100A', '100B', '100XA', '100XB'], 'CUNEIF': ['100A', '100B', '102A', '102B', '200A', '200B'], 'CZECH': ['116A', '116B', '26A', '26B'], 'DANISH': ['1A', '1B'], 'DUTCH': ['1', '2', '110'], 'EGYPT': ['100A', '100B', '101A', '101B'], 'FILIPN': ['100A', '100B', '101A', '101B', '1A', '1B'], 'FINNISH': ['102A', '102B', '1A', '1B'], 'FRENCH': ['1', '2', '3', '4', '14'], 'GERMAN': ['1', '2', '3', '4', '101', '102', '102A', '102D', '110', '2', '3', '4'], 'GREEK': ['1', '2', '10'], 'HEBREW': ['100A', '100B', '106A', '106B', '1A', '1B', '20A', '20B'], 'HIN-URD': ['1A', '1B', '2A', '2B', '100A', '100B', '103A', '103B', '104A', '104B'], 'HUNGARI': ['1A', '1B'], 'ICELAND': ['1A', '1B'], 'ITALIAN': ['1', '1S', '2', '3', '4', '12'], 'JAPAN': ['100A', '100B', '100X', '10A', '10B', '10X', '1A', '1B'], 'JEWISH': ['101'], 'KHMER': ['100A', '100B', '101A', '101B', '1A', '1B'], 'KOREAN': ['1A', '1AX', '1B', '1BX', '10A', '10AX', '10B', '100A', '10BX', '100AX', '100B', '100BX'], 'LATIN': ['1', '2'], 'MALAY/I': ['100A', '100B', '1A', '1B'], 'MONGOLN': ['1A', '1B'], 'NORWEGN': ['1A', '1B'], 'PERSIAN': ['100A', '100B', '1A', '1B', '20A', '20B'], 'POLISH': ['115A', '155B', '25A', '25B'], 'PORTUG': ['101A', '102', '11', '12', '26', '8'], 'PUNJABI': ['100A', '100B', '1A', '1B'], 'ROMANI': ['102A', '102B', '1A', '1B'], 'RUSSIAN': ['1', '103A', '103B', '2', '3', '4', '6A', '6B'], 'SANSKR': ['100A', '100B', '101A', '101B', '101C'], 'SCANDIN': ['101A', '101B'], 'SEMETIC': ['100A', '100B', '205A', '205B'], 'SPANISH': ['1', '12', '2', '21', '22', '26', '3', '4', '8'], 'SWEDISH': ['1A', '1B'], 'TAMIL': ['101A', '101B', '1A', '1B'], 'TELUGU': ['1A', '1B'], 'THAI': ['100A', '100B', '101A', '101B', '1A', '1B'], 'TIBETAN': ['10A', '10B', '1A', '1B'], 'TURKISH': ['100A', '100B', '10A', '1A', '1B'], 'VIETNMS': ['100A', '100B', '101A', '101B', '1A', '1B'], 'YIDDISH': ['101']}
final_times = {'Monday8-11AM': (1, '08:00:00', '11:00:00'), 'Monday11:30-2:30PM': (1, '11:30:00', '14:30:00'), 'Monday3-6PM': (1, '15:00:00', '18:00:00'), 'Monday7-10PM': (1, '19:00:00', '22:00:00'), 'Tuesday8-11AM': (2, '08:00:00', '11:00:00'), 'Tuesday11:30-2:30PM': (2, '11:30:00', '14:30:00'), 'Tuesday3-6PM': (2, '15:00:00', '18:00:00'), 'Tuesday7-10PM': (2, '19:00:00', '22:00:00'), 'Wednesday8-11AM': (3, '08:00:00', '11:00:00'), 'Wednesday11:30-2:30PM': (3, '11:30:00', '14:30:00'), 'Wednesday3-6PM': (3, '15:00:00', '18:00:00'), 'Wednesday7-10PM': (3, '19:00:00', '22:00:00'), 'Thursday8-11AM': (4, '08:00:00', '11:00:00'), 'Thursday11:30-2:30PM': (4, '11:30:00', '14:30:00'), 'Thursday3-6PM': (4, '15:00:00', '18:00:00'), 'Thursday7-10PM': (4, '19:00:00', '22:00:00'), 'Friday8-11AM': (5, '08:00:00', '11:00:00'), 'Friday11:30-2:30PM': (5, '11:30:00', '14:30:00'), 'Friday3-6PM': (5, '15:00:00', '18:00:00'), 'Friday7-10PM': (5, '19:00:00', '22:00:00')} |
#%%
file = open("../dataset/novel.txt")
# %%
characters = []
file2 = open("../dataset/character.txt")
for line in file2:
if line != '\n':
line = line.strip('\n')
characters.append(line)
# %%
relationship = [[0 for column in range(len(characters))] for row in range(len(characters))]
lines = file.readlines()
for line in lines:
if line != '\n':
links = []
for index in range(len(characters)):
if characters[index] in line:
links.append(index)
for row in range(len(links)):
for column in range(row + 1, len(links)):
relationship[links[row]][links[column]] += 1
# %%
charactersDegree=[0]*len(characters)
for row in range(len(characters)):
for column in range(row + 1, len(characters)):
if relationship[row][column] != 0:
charactersDegree[row] += 1
charactersDegree[column] += 1
# print(charactersDegree)
# %%
degree_dict = {i:charactersDegree.count(i) for i in charactersDegree}
degree_dict = {k: v for k, v in sorted(degree_dict.items(), key=lambda item: item[1])}
print(degree_dict)
#%%
# %%
labelStr = ""
valueStr = ""
for key, value in degree_dict.items():
labelStr = labelStr + "\"" + str(key) + "\","
valueStr = valueStr + str(value) + ","
print(labelStr)
print(valueStr)
# %%
| file = open('../dataset/novel.txt')
characters = []
file2 = open('../dataset/character.txt')
for line in file2:
if line != '\n':
line = line.strip('\n')
characters.append(line)
relationship = [[0 for column in range(len(characters))] for row in range(len(characters))]
lines = file.readlines()
for line in lines:
if line != '\n':
links = []
for index in range(len(characters)):
if characters[index] in line:
links.append(index)
for row in range(len(links)):
for column in range(row + 1, len(links)):
relationship[links[row]][links[column]] += 1
characters_degree = [0] * len(characters)
for row in range(len(characters)):
for column in range(row + 1, len(characters)):
if relationship[row][column] != 0:
charactersDegree[row] += 1
charactersDegree[column] += 1
degree_dict = {i: charactersDegree.count(i) for i in charactersDegree}
degree_dict = {k: v for (k, v) in sorted(degree_dict.items(), key=lambda item: item[1])}
print(degree_dict)
label_str = ''
value_str = ''
for (key, value) in degree_dict.items():
label_str = labelStr + '"' + str(key) + '",'
value_str = valueStr + str(value) + ','
print(labelStr)
print(valueStr) |
with open("sample.txt",'r+') as f:
for line in f:
for letter in line:
print(letter)
| with open('sample.txt', 'r+') as f:
for line in f:
for letter in line:
print(letter) |
class Solution:
def numUniqueEmails(self, emails):
_dict = {}
for email in emails:
at_idx = email.index('@')
if email[:at_idx].count('+') == 0:
if email[:at_idx].count('.') == 0:
new_mail_address = email
else:
new_mail_address = email[:at_idx].replace('.', '') + email[at_idx:]
else:
if email[:at_idx].count('.') == 0:
new_mail_address = email[:email.index('+')] + email[at_idx:]
else:
new_mail_address = email[:email.index('+')].replace('.', '') + email[at_idx:]
if new_mail_address not in _dict.keys():
_dict[new_mail_address] = 1
return len(_dict.keys())
class Solution2:
def numUniqueEmails(self, emails):
_dict = {}
for email in emails:
tmp = email.split('@')
local_name = tmp[0].split('+')[0].replace('.', '')
if local_name + '@' + tmp[1] not in _dict.keys():
_dict[local_name+'@'+tmp[1]] = 1
return len(_dict.keys())
| class Solution:
def num_unique_emails(self, emails):
_dict = {}
for email in emails:
at_idx = email.index('@')
if email[:at_idx].count('+') == 0:
if email[:at_idx].count('.') == 0:
new_mail_address = email
else:
new_mail_address = email[:at_idx].replace('.', '') + email[at_idx:]
elif email[:at_idx].count('.') == 0:
new_mail_address = email[:email.index('+')] + email[at_idx:]
else:
new_mail_address = email[:email.index('+')].replace('.', '') + email[at_idx:]
if new_mail_address not in _dict.keys():
_dict[new_mail_address] = 1
return len(_dict.keys())
class Solution2:
def num_unique_emails(self, emails):
_dict = {}
for email in emails:
tmp = email.split('@')
local_name = tmp[0].split('+')[0].replace('.', '')
if local_name + '@' + tmp[1] not in _dict.keys():
_dict[local_name + '@' + tmp[1]] = 1
return len(_dict.keys()) |
search_fruit = 'apple'
fruit_box = ['banana', 'mango', 'apple', 'pineapple']
for fruit in fruit_box:
if fruit == search_fruit:
print('Found fruit : {}'.format(search_fruit))
break
else:
print('{} fruit not found'.format(search_fruit))
| search_fruit = 'apple'
fruit_box = ['banana', 'mango', 'apple', 'pineapple']
for fruit in fruit_box:
if fruit == search_fruit:
print('Found fruit : {}'.format(search_fruit))
break
else:
print('{} fruit not found'.format(search_fruit)) |
#!/usr/bin/env python3
# encoding: UTF-8
"""
This file is part of IPGeoLocation tool.
Copyright (C) 2015-2016 @maldevel
https://github.com/maldevel/IPGeoLocation
IPGeoLocation - Retrieve IP Geolocation information
Powered by http://ip-api.com
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
For more see the file 'LICENSE' for copying permission.
"""
__author__ = 'maldevel'
class IpGeoLocation:
"""Represents an IP Geolocation information object"""
def __init__(self, query, jsonData = None):
self.Query = query
self.ASN = '-'
self.City = '-'
self.Country = '-'
self.CountryCode = '-'
self.ISP = '-'
self.Latitude = 0.0
self.Longtitude = 0.0
self.Organization = '-'
self.IP = '0.0.0.0'
self.Region = '-'
self.RegionName = '-'
self.Status = '-'
self.Timezone = '-'
self.Zip = '-'
self.GoogleMapsLink = ''
if jsonData != None:
if type(jsonData) is dict:
if 'as' in jsonData:
self.ASN = jsonData['as']
if 'city' in jsonData:
self.City = jsonData['city']
if 'country' in jsonData:
self.Country = jsonData['country']
if 'countryCode' in jsonData:
self.CountryCode = jsonData['countryCode']
if 'isp' in jsonData:
self.ISP = jsonData['isp']
if 'lat' in jsonData:
self.Latitude = jsonData['lat']
if 'lon' in jsonData:
self.Longtitude = jsonData['lon']
if 'org' in jsonData:
self.Organization = jsonData['org']
if 'query' in jsonData:
self.IP = jsonData['query']
if 'region' in jsonData:
self.Region = jsonData['region']
if 'regionName' in jsonData:
self.RegionName = jsonData['regionName']
if 'status' in jsonData:
self.Status = jsonData['status']
if 'timezone' in jsonData:
self.Timezone = jsonData['timezone']
if 'zip' in jsonData:
self.Zip = jsonData['zip']
if type(self.Latitude) == float and type(self.Longtitude) == float:
self.GoogleMapsLink = 'http://www.google.com/maps/place/{0},{1}/@{0},{1},16z'.format(self.Latitude, self.Longtitude)
def ToDict(self):
#self.__dict__.
return {'Target':self.Query, 'IP':self.IP, 'ASN':self.ASN, 'City':self.City,
'Country':self.Country, 'Country Code':self.CountryCode, 'ISP':self.ISP,
'Latitude':str(self.Latitude), 'Longtitude':str(self.Longtitude),
'Organization':self.Organization, 'Region':self.Region,
'Region Name':self.RegionName, 'Timezone':self.Timezone,
'Zip':self.Zip, 'Google Maps':self.GoogleMapsLink
} | """
This file is part of IPGeoLocation tool.
Copyright (C) 2015-2016 @maldevel
https://github.com/maldevel/IPGeoLocation
IPGeoLocation - Retrieve IP Geolocation information
Powered by http://ip-api.com
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
For more see the file 'LICENSE' for copying permission.
"""
__author__ = 'maldevel'
class Ipgeolocation:
"""Represents an IP Geolocation information object"""
def __init__(self, query, jsonData=None):
self.Query = query
self.ASN = '-'
self.City = '-'
self.Country = '-'
self.CountryCode = '-'
self.ISP = '-'
self.Latitude = 0.0
self.Longtitude = 0.0
self.Organization = '-'
self.IP = '0.0.0.0'
self.Region = '-'
self.RegionName = '-'
self.Status = '-'
self.Timezone = '-'
self.Zip = '-'
self.GoogleMapsLink = ''
if jsonData != None:
if type(jsonData) is dict:
if 'as' in jsonData:
self.ASN = jsonData['as']
if 'city' in jsonData:
self.City = jsonData['city']
if 'country' in jsonData:
self.Country = jsonData['country']
if 'countryCode' in jsonData:
self.CountryCode = jsonData['countryCode']
if 'isp' in jsonData:
self.ISP = jsonData['isp']
if 'lat' in jsonData:
self.Latitude = jsonData['lat']
if 'lon' in jsonData:
self.Longtitude = jsonData['lon']
if 'org' in jsonData:
self.Organization = jsonData['org']
if 'query' in jsonData:
self.IP = jsonData['query']
if 'region' in jsonData:
self.Region = jsonData['region']
if 'regionName' in jsonData:
self.RegionName = jsonData['regionName']
if 'status' in jsonData:
self.Status = jsonData['status']
if 'timezone' in jsonData:
self.Timezone = jsonData['timezone']
if 'zip' in jsonData:
self.Zip = jsonData['zip']
if type(self.Latitude) == float and type(self.Longtitude) == float:
self.GoogleMapsLink = 'http://www.google.com/maps/place/{0},{1}/@{0},{1},16z'.format(self.Latitude, self.Longtitude)
def to_dict(self):
return {'Target': self.Query, 'IP': self.IP, 'ASN': self.ASN, 'City': self.City, 'Country': self.Country, 'Country Code': self.CountryCode, 'ISP': self.ISP, 'Latitude': str(self.Latitude), 'Longtitude': str(self.Longtitude), 'Organization': self.Organization, 'Region': self.Region, 'Region Name': self.RegionName, 'Timezone': self.Timezone, 'Zip': self.Zip, 'Google Maps': self.GoogleMapsLink} |
apps = ["admin", "AjaxSpreadsheet", "AppointmentManager", "ArXivInterface", "BingApi", "BitcoinExample", "CarSales", "CeleryIntegrationExample", "CookbookExample", "CssDesigner", "CustomerRelationshipManagement", "DnaAnalysisNeedlemanWunsh", "eCardsOnMap", "EmailContactForm", "EStoreExample", "FacebookClone", "FacebookConnectExample", "FacebookExample", "FileManager", "FileTreeBrowser", "FindRideSharing", "GeolocateByIp", "HotelManagementExample", "ImageGallery", "IssueTracker", "KPax2", "LabSoftwareManagement", "LearningObjectives", "LibraryServices", "LostAndFoundItalian", "ManageContacts", "MazeGenerator", "MedicalSocialNetwork", "MetraTrainSchedule", "MinimalistWiki", "MovieReviews", "OnlineFormsToPdf", "OnlineMagazine", "OpenOpine", "PhysicsSimulator2D", "PosOnlineStore", "PoweredBy", "ProcessingJsExample", "ProjectManager", "PyForum2", "QuizBuilder", "RadioScheduleLogs", "RedditClone", "RemoteWebsiteMonitor", "RestaurantsListing", "RsvpService", "SemaCodeGenerator", "SemanticWebExample", "ServerStats", "SkeletonLayout", "SnakeGameInProcessing", "SqlDesigner", "SudokuGame", "SuperComputing2010", "SurveyAppFlourish", "SysadminInterface", "TrainCountingGame", "UploadAndShareFiles", "VideoLibrary", "Web2pyPackagingApp"]
def index():
return dict(apps=apps)
| apps = ['admin', 'AjaxSpreadsheet', 'AppointmentManager', 'ArXivInterface', 'BingApi', 'BitcoinExample', 'CarSales', 'CeleryIntegrationExample', 'CookbookExample', 'CssDesigner', 'CustomerRelationshipManagement', 'DnaAnalysisNeedlemanWunsh', 'eCardsOnMap', 'EmailContactForm', 'EStoreExample', 'FacebookClone', 'FacebookConnectExample', 'FacebookExample', 'FileManager', 'FileTreeBrowser', 'FindRideSharing', 'GeolocateByIp', 'HotelManagementExample', 'ImageGallery', 'IssueTracker', 'KPax2', 'LabSoftwareManagement', 'LearningObjectives', 'LibraryServices', 'LostAndFoundItalian', 'ManageContacts', 'MazeGenerator', 'MedicalSocialNetwork', 'MetraTrainSchedule', 'MinimalistWiki', 'MovieReviews', 'OnlineFormsToPdf', 'OnlineMagazine', 'OpenOpine', 'PhysicsSimulator2D', 'PosOnlineStore', 'PoweredBy', 'ProcessingJsExample', 'ProjectManager', 'PyForum2', 'QuizBuilder', 'RadioScheduleLogs', 'RedditClone', 'RemoteWebsiteMonitor', 'RestaurantsListing', 'RsvpService', 'SemaCodeGenerator', 'SemanticWebExample', 'ServerStats', 'SkeletonLayout', 'SnakeGameInProcessing', 'SqlDesigner', 'SudokuGame', 'SuperComputing2010', 'SurveyAppFlourish', 'SysadminInterface', 'TrainCountingGame', 'UploadAndShareFiles', 'VideoLibrary', 'Web2pyPackagingApp']
def index():
return dict(apps=apps) |
# Approach 1
class Solution:
def maxProfit(self, prices: List[int]) -> int:
i = 0
maxprofit = 0
v = prices[0]
p = prices[0]
while i < len(prices) - 1:
while i < len(prices) - 1 and prices[i] > prices[i + 1]:
i += 1
v = prices[i]
i += 1
while i < len(prices) - 1 and prices[i] < prices[i + 1]:
i += 1
if i < len(prices):
p = prices[i]
i += 1
maxprofit += p - v
return maxprofit
# Approach 2
class Solution:
def maxProfit(self, prices: List[int]) -> int:
maxprofit = 0
for i in range(1, len(prices)):
if prices[i] > prices[i - 1]:
maxprofit += prices[i] - prices[i - 1]
return maxprofit | class Solution:
def max_profit(self, prices: List[int]) -> int:
i = 0
maxprofit = 0
v = prices[0]
p = prices[0]
while i < len(prices) - 1:
while i < len(prices) - 1 and prices[i] > prices[i + 1]:
i += 1
v = prices[i]
i += 1
while i < len(prices) - 1 and prices[i] < prices[i + 1]:
i += 1
if i < len(prices):
p = prices[i]
i += 1
maxprofit += p - v
return maxprofit
class Solution:
def max_profit(self, prices: List[int]) -> int:
maxprofit = 0
for i in range(1, len(prices)):
if prices[i] > prices[i - 1]:
maxprofit += prices[i] - prices[i - 1]
return maxprofit |
class Parameters:
course_number_per_program = {"min":3,"max":6}
remote_learning_start_year = 2018
professor_number = 3000
student_enrollment_year = {"start":2015,"end":2016}
student_number = 20000
before_remote_learning_drop_off = {"rate":10,"remote":20}
after_remote_learning_drop_off = {"rate":30,"remote":50}
# Set the number yourself
student_dob_year = 1980
professor_dob_year = 1960
professor_start_working_year = 1990
def setCourseNumberPerProgram(self, min, max):
self.course_number_per_program["min"] = int(min)
self.course_number_per_program["max"] = int(max)
def setRemoteLearningStartYear(self, year):
self.remote_learning_start_year = int(year)
def setProfessorNumber(self, number):
self.professor_number = int(number)
def setStudentEnrollmentYear(self, start, end):
self.student_enrollment_year["start"] = int(start)
self.student_enrollment_year["end"] = int(end)
def setStudentNumber(self, number):
self.student_number = int(number)
def setBeforeRemoteLearningDropOffAndReasonRate(self,drop_off_rate, remote_reason_rate):
self.before_remote_learning_drop_off["rate"] = int(drop_off_rate)
self.before_remote_learning_drop_off["remote"] = int(remote_reason_rate)
def setAfterRemoteLearningDropOffAndReasonRate(self,drop_off_rate, remote_reason_rate):
self.after_remote_learning_drop_off["rate"] = int(drop_off_rate)
self.after_remote_learning_drop_off["remote"] = int(remote_reason_rate)
| class Parameters:
course_number_per_program = {'min': 3, 'max': 6}
remote_learning_start_year = 2018
professor_number = 3000
student_enrollment_year = {'start': 2015, 'end': 2016}
student_number = 20000
before_remote_learning_drop_off = {'rate': 10, 'remote': 20}
after_remote_learning_drop_off = {'rate': 30, 'remote': 50}
student_dob_year = 1980
professor_dob_year = 1960
professor_start_working_year = 1990
def set_course_number_per_program(self, min, max):
self.course_number_per_program['min'] = int(min)
self.course_number_per_program['max'] = int(max)
def set_remote_learning_start_year(self, year):
self.remote_learning_start_year = int(year)
def set_professor_number(self, number):
self.professor_number = int(number)
def set_student_enrollment_year(self, start, end):
self.student_enrollment_year['start'] = int(start)
self.student_enrollment_year['end'] = int(end)
def set_student_number(self, number):
self.student_number = int(number)
def set_before_remote_learning_drop_off_and_reason_rate(self, drop_off_rate, remote_reason_rate):
self.before_remote_learning_drop_off['rate'] = int(drop_off_rate)
self.before_remote_learning_drop_off['remote'] = int(remote_reason_rate)
def set_after_remote_learning_drop_off_and_reason_rate(self, drop_off_rate, remote_reason_rate):
self.after_remote_learning_drop_off['rate'] = int(drop_off_rate)
self.after_remote_learning_drop_off['remote'] = int(remote_reason_rate) |
'''
#####################################
# 300. Longest Increasing Subsequence
#####################################
class Solution:
def lengthOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
tail = [0] * len(nums)
size = 0
for num in nums:
i, j = 0, size
print (i, j)
while i!=j:
m = (i+j)//2
if tail[m]<num:
i = m + 1
else:
j = m
tail[j] = num
size = max(j+1, size)
print (tail)
return size
nums = [10,9,2,5,3,7,101,18]
solu = Solution()
print (solu.lengthOfLIS(nums))
'''
'''
#####################################
# 322. Coin Change
#####################################
class Solution:
def coinChange(self, coins, amount):
"""
:type coins: List[int]
:type amount: int
:rtype: int
"""
if amount==0:
return 0
stack = [amount]
visited = [False] * amount
count = 0
visited[-1] = True
while stack:
count += 1
temp = []
for money in stack:
for i in coins:
t = money-i
if t==0: return count
if t>0 and visited[t-1]==False:
temp.append(money-i)
visited[t-1] = True
stack = temp
return -1
coins = [357,239,73,52]
amount = 9832
coins = []
amount = 1
solu = Solution()
print (solu.coinChange(coins, amount))
'''
'''
#####################################
# 337. House Robber III
#####################################
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
class Solution:
def rob(self, root):
"""
:type root: TreeNode
:rtype: int
"""
res = self.maxmoney(root)
return max(res[0], res[1])
def maxmoney(self, root):
if root==None: return [0, 0]
left = self.maxmoney(root.left)
right = self.maxmoney(root.right)
res = [0, 0]
res[0] = max(left[0],left[1]) + max(right[0], right[1])
res[1] = root.val + left[0] + right[0]
return res
root = TreeNode(3)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.right = TreeNode(3)
root.right.right = TreeNode(1)
solu = Solution()
print (solu.rob(root))
'''
'''
#####################################
# 338. Counting Bits
#####################################
class Solution:
def countBits(self, num):
"""
:type num: int
:rtype: List[int]
"""
l = [0,1,1,2]
if num<4: return l[:num+1]
while len(l)<=num:
temp = l + [x+1 for x in l]
l = temp
return l[:num+1]
num = 10
solu = Solution()
print (solu.countBits(num))
'''
#####################################
# 347. Top K Frequent Elements
#####################################
class Solution:
def topKFrequent(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[int]
"""
count = {}
f = {}
for i in range (len(nums)):
if nums[i] not in count:
count[nums[i]] = 1
else:
count[nums[i]] += 1
for i in count:
if count[i] not in f:
f[count[i]] = [i]
else:
f[count[i]].append(i)
l = []
t = sorted(f, reverse=True)
i = 0
while k>0:
l += f[t[i]]
k -= len(f[t[i]])
i += 1
return l
nums = [1,2]
k = 2
solu = Solution()
print (solu.topKFrequent(nums, k))
| '''
#####################################
# 300. Longest Increasing Subsequence
#####################################
class Solution:
def lengthOfLIS(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
tail = [0] * len(nums)
size = 0
for num in nums:
i, j = 0, size
print (i, j)
while i!=j:
m = (i+j)//2
if tail[m]<num:
i = m + 1
else:
j = m
tail[j] = num
size = max(j+1, size)
print (tail)
return size
nums = [10,9,2,5,3,7,101,18]
solu = Solution()
print (solu.lengthOfLIS(nums))
'''
'\n#####################################\n# 322. Coin Change\n#####################################\nclass Solution:\n def coinChange(self, coins, amount):\n """\n :type coins: List[int]\n :type amount: int\n :rtype: int\n """\n if amount==0:\n return 0\n stack = [amount]\n visited = [False] * amount\n count = 0\n visited[-1] = True\n while stack:\n count += 1\n temp = []\n for money in stack:\n for i in coins:\n t = money-i\n if t==0: return count\n if t>0 and visited[t-1]==False:\n temp.append(money-i)\n visited[t-1] = True\n stack = temp\n return -1\n\ncoins = [357,239,73,52]\namount = 9832\ncoins = []\namount = 1\nsolu = Solution()\nprint (solu.coinChange(coins, amount))\n'
'\n#####################################\n# 337. House Robber III\n#####################################\n# Definition for a binary tree node.\nclass TreeNode:\n def __init__(self, x):\n self.val = x\n self.left = None\n self.right = None\n\nclass Solution:\n def rob(self, root):\n """\n :type root: TreeNode\n :rtype: int\n """\n res = self.maxmoney(root)\n return max(res[0], res[1])\n \n def maxmoney(self, root):\n if root==None: return [0, 0]\n left = self.maxmoney(root.left)\n right = self.maxmoney(root.right)\n res = [0, 0]\n res[0] = max(left[0],left[1]) + max(right[0], right[1])\n res[1] = root.val + left[0] + right[0]\n return res\n\nroot = TreeNode(3)\nroot.left = TreeNode(2)\nroot.right = TreeNode(3)\nroot.left.right = TreeNode(3)\nroot.right.right = TreeNode(1)\nsolu = Solution()\nprint (solu.rob(root))\n'
'\n#####################################\n# 338. Counting Bits\n#####################################\nclass Solution:\n def countBits(self, num):\n """\n :type num: int\n :rtype: List[int]\n """\n l = [0,1,1,2]\n if num<4: return l[:num+1]\n while len(l)<=num:\n temp = l + [x+1 for x in l]\n l = temp\n return l[:num+1]\n\nnum = 10\nsolu = Solution()\nprint (solu.countBits(num))\n'
class Solution:
def top_k_frequent(self, nums, k):
"""
:type nums: List[int]
:type k: int
:rtype: List[int]
"""
count = {}
f = {}
for i in range(len(nums)):
if nums[i] not in count:
count[nums[i]] = 1
else:
count[nums[i]] += 1
for i in count:
if count[i] not in f:
f[count[i]] = [i]
else:
f[count[i]].append(i)
l = []
t = sorted(f, reverse=True)
i = 0
while k > 0:
l += f[t[i]]
k -= len(f[t[i]])
i += 1
return l
nums = [1, 2]
k = 2
solu = solution()
print(solu.topKFrequent(nums, k)) |
#!/usr/bin/env python
# coding=UTF-8
"""
@Author: WEN Hao
@LastEditors: WEN Hao
@Description:
@Date: 2021-07-22
@LastEditTime: 2021-09-01
"""
# from .attack import Attack
# from .attack_args import AttackArgs
# from .attack_generator import AttackGenerator
# from .attack_eval import AttackEval
# from .attack_result import AttackResult
# from .text_fooler import TextFooler
# __all__ = [
# "Attack",
# "AttackArgs",
# "AttackGenerator",
# "AttackEval",
# "AttackResult",
# "TextFooler"
# ]
| """
@Author: WEN Hao
@LastEditors: WEN Hao
@Description:
@Date: 2021-07-22
@LastEditTime: 2021-09-01
""" |
# Introduction fo Computation and Programming Using Python (2021)
# Chapter 3, Finger Exercise 1
"""
Change the code in Figure 3-2 so that it returns
the largest rather than the smallest divisor. Hint: if y*z = x and y is
the smallest divisor of x, z is the largest divisor of x.
Code in Figure 3-2:
# Test if an int > 2 is prime. If not, print smallest divisor
x = int(input('Enter an integer greater than 2: '))
smallest_divisor = None
for guess in range(2, x):
if x%guess == 0:
smallest_divisor = guess
break
if smallest_divisor != None:
print('Smallest divisor of', x, 'is', smallest_divisor)
else:
print(x, 'is a prime number')
"""
"""
Here is my code without the hint.
# Test if an int > 2 is prime. If not, print largest divisor
x = int(input('Enter an integer greater than 2: '))
largest_divisor = None
for guess in range(2, x):
if x%guess == 0:
largest_divisor = guess
# break We want it to keep going after finding the smallest
if largest_divisor != None:
print('Largest divisor of', x, 'is', largest_divisor)
else:
print(x, 'is a prime number')
"""
# Here is my code with the hint.
# Test if an int > 2 is prime. If not, print smallest divisor
x = int(input('Enter an integer greater than 2: '))
smallest_divisor = None
for guess in range(2, x):
if x%guess == 0:
smallest_divisor = guess
break
if smallest_divisor != None:
print('Smallest divisor of', x, 'is', smallest_divisor)
print(f"Largest divisor of {x} is {x//smallest_divisor}.")
else:
print(x, 'is a prime number')
| """
Change the code in Figure 3-2 so that it returns
the largest rather than the smallest divisor. Hint: if y*z = x and y is
the smallest divisor of x, z is the largest divisor of x.
Code in Figure 3-2:
# Test if an int > 2 is prime. If not, print smallest divisor
x = int(input('Enter an integer greater than 2: '))
smallest_divisor = None
for guess in range(2, x):
if x%guess == 0:
smallest_divisor = guess
break
if smallest_divisor != None:
print('Smallest divisor of', x, 'is', smallest_divisor)
else:
print(x, 'is a prime number')
"""
"\nHere is my code without the hint.\n\n# Test if an int > 2 is prime. If not, print largest divisor\nx = int(input('Enter an integer greater than 2: '))\nlargest_divisor = None\nfor guess in range(2, x):\n if x%guess == 0:\n largest_divisor = guess\n# break We want it to keep going after finding the smallest\nif largest_divisor != None:\n print('Largest divisor of', x, 'is', largest_divisor)\nelse:\n print(x, 'is a prime number')\n"
x = int(input('Enter an integer greater than 2: '))
smallest_divisor = None
for guess in range(2, x):
if x % guess == 0:
smallest_divisor = guess
break
if smallest_divisor != None:
print('Smallest divisor of', x, 'is', smallest_divisor)
print(f'Largest divisor of {x} is {x // smallest_divisor}.')
else:
print(x, 'is a prime number') |
word_size = 27
num_words = 512
words_per_row = 4
local_array_size = 60
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True
| word_size = 27
num_words = 512
words_per_row = 4
local_array_size = 60
output_extended_config = True
output_datasheet_info = True
netlist_only = True
nominal_corner_only = True |
"""Utilities for tracking progress of runs, including time taken per
generation, fitness plots, fitness caches, etc."""
cache = {}
# This dict stores the cache for an evolutionary run. The key for each entry
# is the phenotype of the individual, the value is its fitness.
runtime_error_cache = []
# This list stores a list of phenotypes which produce runtime errors over an
# evolutionary run.
best_fitness_list = []
# fitness_plot is simply a list of the best fitnesses at each generation.
# Useful for plotting evolutionary progress.
first_pareto_list = []
# first_pareto_list stores the list of all individuals stored on the first
# pareto front during multi objective optimisation.
time_list = []
# time_list stores the system time after each generation has been completed.
# Useful for keeping track of how long each generation takes.
stats_list = []
# List for storing stats at each generation
# Used when verbose mode is off to speed up program
best_ever = None
# Store the best ever individual here.
| """Utilities for tracking progress of runs, including time taken per
generation, fitness plots, fitness caches, etc."""
cache = {}
runtime_error_cache = []
best_fitness_list = []
first_pareto_list = []
time_list = []
stats_list = []
best_ever = None |
# Copyright Hybrid Logic Ltd. See LICENSE file for details.
"""
Tests for components for Flocker documentation.
"""
| """
Tests for components for Flocker documentation.
""" |
"""Nevermore is a multiple task learning benckmark."""
__version__ = '0.0.1'
__author__ = ''
| """Nevermore is a multiple task learning benckmark."""
__version__ = '0.0.1'
__author__ = '' |
"""
TODO:
- does the last plane fit the first plane?
"""
def is_periodic(wire) -> bool:
return wire.planes[0].fits(wire.planes[-1])
| """
TODO:
- does the last plane fit the first plane?
"""
def is_periodic(wire) -> bool:
return wire.planes[0].fits(wire.planes[-1]) |
'''
Created on Dec 19, 2013
@author: kyle
'''
def convert_array_to_YxZ(val, z):
out_list_list = []
for i in xrange(len(val)/z + 1):
out_list_list.append([])
for j in xrange(z):
if i*z+j < len(val):
out_list_list[i].append( val[i*z+j] )
return out_list_list
| """
Created on Dec 19, 2013
@author: kyle
"""
def convert_array_to__yx_z(val, z):
out_list_list = []
for i in xrange(len(val) / z + 1):
out_list_list.append([])
for j in xrange(z):
if i * z + j < len(val):
out_list_list[i].append(val[i * z + j])
return out_list_list |
class Metric(object):
def reset(self):
raise NotImplementedError
def update(self, x, y):
raise NotImplementedError
def score(self):
raise NotImplementedError
def mean(self):
raise NotImplementedError
| class Metric(object):
def reset(self):
raise NotImplementedError
def update(self, x, y):
raise NotImplementedError
def score(self):
raise NotImplementedError
def mean(self):
raise NotImplementedError |
def get_php_bp_obd():
return """
$dir=pos(glob("./*", GLOB_ONLYDIR));
$cwd=getcwd();
$ndir="./%s";
if($dir === false){
$r=mkdir($ndir);
if($r === true){$dir=$ndir;}}
chdir($dir);
if(function_exists("ini_set")){
ini_set("open_basedir","..");
} else {
ini_alter("open_basedir","..");
}
$c=substr_count(getcwd(), "/");
for($i=0;$i<$c;$i++) chdir("..");
ini_set("open_basedir", "/");
chdir($cwd);rmdir($ndir);
""" | def get_php_bp_obd():
return '\n $dir=pos(glob("./*", GLOB_ONLYDIR));\n $cwd=getcwd();\n $ndir="./%s";\n if($dir === false){\n $r=mkdir($ndir);\n if($r === true){$dir=$ndir;}}\n chdir($dir);\n if(function_exists("ini_set")){\n ini_set("open_basedir","..");\n } else {\n ini_alter("open_basedir","..");\n }\n $c=substr_count(getcwd(), "/");\n for($i=0;$i<$c;$i++) chdir("..");\n ini_set("open_basedir", "/");\n chdir($cwd);rmdir($ndir);\n ' |
def gcd(a,b):
return gcd(b,a%b) if b else a
def lcm3(a,b,c):
return a*b*c*gcd(gcd(a,b),c)//gcd(a,b)//gcd(b,c)//gcd(a,c)
x=[*map(int,input().split())]
r=100**5
for i in range(5):
for j in range(i+1,5):
for k in range(j+1,5):
n=lcm3(x[i],x[j],x[k])
r=min(n,r)
print(r) | def gcd(a, b):
return gcd(b, a % b) if b else a
def lcm3(a, b, c):
return a * b * c * gcd(gcd(a, b), c) // gcd(a, b) // gcd(b, c) // gcd(a, c)
x = [*map(int, input().split())]
r = 100 ** 5
for i in range(5):
for j in range(i + 1, 5):
for k in range(j + 1, 5):
n = lcm3(x[i], x[j], x[k])
r = min(n, r)
print(r) |
for _ in range(int(input())):
v,e=input().split()
v=float(v)
if e=="kg":print("%.4f"%(v*2.2046),"lb")
if e=="lb":print("%.4f"%(v*0.4536),"kg")
if e=="l":print("%.4f"%(v*0.2642),"g")
if e=="g":print("%.4f"%(v*3.7854),"l") | for _ in range(int(input())):
(v, e) = input().split()
v = float(v)
if e == 'kg':
print('%.4f' % (v * 2.2046), 'lb')
if e == 'lb':
print('%.4f' % (v * 0.4536), 'kg')
if e == 'l':
print('%.4f' % (v * 0.2642), 'g')
if e == 'g':
print('%.4f' % (v * 3.7854), 'l') |
coordinates_E0E1E1 = ((126, 108),
(127, 80), (127, 81), (127, 100), (127, 108), (127, 120), (128, 78), (128, 79), (128, 81), (128, 89), (128, 99), (128, 100), (128, 108), (128, 109), (128, 120), (129, 75), (129, 81), (129, 87), (129, 89), (129, 98), (129, 101), (129, 108), (129, 109), (129, 120), (130, 75), (130, 77), (130, 78), (130, 79), (130, 81), (130, 86), (130, 89), (130, 99), (130, 101), (130, 107), (130, 109), (130, 120), (130, 129), (131, 75), (131, 77), (131, 78), (131, 79), (131, 80), (131, 81), (131, 82), (131, 83), (131, 84), (131, 87), (131, 89), (131, 95), (131, 98), (131, 99), (131, 100), (131, 102), (131, 106), (131, 110), (131, 120), (131, 121), (131, 129), (132, 75), (132, 77), (132, 78), (132, 79), (132, 80), (132, 81), (132, 86), (132, 87), (132, 89), (132, 94), (132, 97), (132, 104), (132, 106), (132, 109), (132, 112),
(132, 120), (132, 121), (132, 128), (132, 129), (133, 75), (133, 77), (133, 78), (133, 79), (133, 80), (133, 81), (133, 82), (133, 83), (133, 84), (133, 85), (133, 86), (133, 87), (133, 88), (133, 89), (133, 93), (133, 95), (133, 96), (133, 99), (133, 100), (133, 101), (133, 102), (133, 104), (133, 110), (133, 111), (133, 120), (133, 121), (133, 128), (134, 74), (134, 75), (134, 77), (134, 78), (134, 79), (134, 80), (134, 81), (134, 82), (134, 83), (134, 84), (134, 85), (134, 86), (134, 87), (134, 88), (134, 89), (134, 91), (134, 94), (134, 95), (134, 97), (134, 120), (134, 121), (134, 128), (135, 74), (135, 76), (135, 77), (135, 78), (135, 79), (135, 80), (135, 81), (135, 82), (135, 83), (135, 84), (135, 90), (135, 92), (135, 93), (135, 94), (135, 96), (135, 120), (135, 121), (135, 128), (136, 73),
(136, 75), (136, 76), (136, 81), (136, 82), (136, 85), (136, 86), (136, 87), (136, 88), (136, 90), (136, 91), (136, 92), (136, 93), (136, 94), (136, 96), (136, 120), (136, 121), (136, 128), (136, 130), (136, 131), (136, 133), (137, 73), (137, 75), (137, 78), (137, 79), (137, 80), (137, 84), (137, 90), (137, 92), (137, 93), (137, 95), (137, 120), (137, 121), (137, 128), (138, 73), (138, 76), (138, 81), (138, 82), (138, 90), (138, 92), (138, 93), (138, 95), (138, 120), (138, 121), (138, 128), (139, 73), (139, 75), (139, 91), (139, 93), (139, 95), (139, 120), (139, 121), (139, 127), (140, 73), (140, 74), (140, 91), (140, 93), (140, 94), (140, 96), (140, 105), (140, 120), (140, 121), (140, 127), (140, 130), (141, 90), (141, 91), (141, 92), (141, 93), (141, 94), (141, 96), (141, 104), (141, 107), (141, 120),
(141, 121), (141, 127), (141, 129), (142, 90), (142, 92), (142, 93), (142, 94), (142, 95), (142, 97), (142, 105), (142, 108), (142, 121), (142, 127), (142, 128), (143, 89), (143, 93), (143, 94), (143, 95), (143, 96), (143, 99), (143, 100), (143, 101), (143, 104), (143, 105), (143, 106), (143, 107), (143, 109), (143, 120), (143, 122), (143, 126), (143, 128), (144, 88), (144, 91), (144, 92), (144, 93), (144, 97), (144, 102), (144, 103), (144, 104), (144, 105), (144, 106), (144, 107), (144, 108), (144, 110), (144, 120), (144, 122), (144, 123), (144, 126), (144, 128), (145, 87), (145, 89), (145, 90), (145, 93), (145, 94), (145, 95), (145, 96), (145, 100), (145, 101), (145, 102), (145, 103), (145, 104), (145, 105), (145, 106), (145, 107), (145, 108), (145, 109), (145, 111), (145, 119), (145, 121), (145, 122), (145, 124), (145, 127),
(146, 82), (146, 83), (146, 84), (146, 85), (146, 88), (146, 98), (146, 99), (146, 100), (146, 101), (146, 102), (146, 103), (146, 104), (146, 105), (146, 106), (146, 107), (146, 108), (146, 109), (146, 110), (146, 112), (146, 118), (146, 120), (146, 121), (146, 122), (146, 123), (146, 127), (147, 79), (147, 80), (147, 86), (147, 100), (147, 102), (147, 103), (147, 104), (147, 105), (147, 106), (147, 107), (147, 108), (147, 109), (147, 110), (147, 111), (147, 114), (147, 115), (147, 116), (147, 117), (147, 119), (147, 120), (147, 121), (147, 122), (147, 123), (147, 124), (147, 125), (147, 127), (148, 81), (148, 82), (148, 83), (148, 100), (148, 102), (148, 103), (148, 104), (148, 105), (148, 106), (148, 107), (148, 108), (148, 109), (148, 110), (148, 111), (148, 112), (148, 113), (148, 118), (148, 119), (148, 120), (148, 121), (148, 122),
(148, 123), (148, 124), (148, 125), (148, 127), (149, 99), (149, 101), (149, 102), (149, 103), (149, 104), (149, 105), (149, 106), (149, 107), (149, 108), (149, 109), (149, 110), (149, 111), (149, 112), (149, 113), (149, 114), (149, 115), (149, 116), (149, 117), (149, 118), (149, 119), (149, 120), (149, 121), (149, 122), (149, 123), (149, 124), (149, 125), (149, 126), (149, 128), (149, 140), (150, 97), (150, 100), (150, 101), (150, 102), (150, 103), (150, 104), (150, 105), (150, 106), (150, 107), (150, 108), (150, 109), (150, 110), (150, 111), (150, 112), (150, 113), (150, 114), (150, 115), (150, 116), (150, 117), (150, 118), (150, 119), (150, 120), (150, 121), (150, 122), (150, 123), (150, 124), (150, 125), (150, 126), (150, 127), (150, 129), (150, 139), (151, 94), (151, 95), (151, 96), (151, 99), (151, 100), (151, 101), (151, 102), (151, 103),
(151, 104), (151, 105), (151, 106), (151, 107), (151, 108), (151, 109), (151, 110), (151, 111), (151, 112), (151, 113), (151, 114), (151, 115), (151, 116), (151, 117), (151, 118), (151, 119), (151, 120), (151, 121), (151, 122), (151, 123), (151, 124), (151, 125), (151, 126), (151, 127), (151, 128), (151, 130), (151, 131), (151, 134), (151, 135), (151, 136), (151, 137), (151, 139), (152, 92), (152, 97), (152, 98), (152, 101), (152, 102), (152, 103), (152, 104), (152, 105), (152, 106), (152, 107), (152, 108), (152, 109), (152, 110), (152, 111), (152, 112), (152, 113), (152, 114), (152, 115), (152, 116), (152, 120), (152, 121), (152, 122), (152, 123), (152, 124), (152, 125), (152, 126), (152, 127), (152, 128), (152, 129), (152, 132), (152, 133), (152, 134), (152, 139), (153, 90), (153, 93), (153, 94), (153, 95), (153, 96), (153, 97), (153, 98),
(153, 99), (153, 100), (153, 102), (153, 103), (153, 104), (153, 105), (153, 106), (153, 107), (153, 108), (153, 109), (153, 110), (153, 111), (153, 112), (153, 113), (153, 117), (153, 118), (153, 120), (153, 121), (153, 122), (153, 123), (153, 124), (153, 125), (153, 126), (153, 127), (153, 128), (153, 129), (153, 130), (153, 131), (153, 134), (153, 135), (153, 136), (153, 138), (154, 89), (154, 93), (154, 101), (154, 103), (154, 104), (154, 105), (154, 106), (154, 107), (154, 108), (154, 109), (154, 110), (154, 111), (154, 112), (154, 116), (154, 120), (154, 122), (154, 123), (154, 124), (154, 125), (154, 126), (154, 127), (154, 128), (154, 129), (154, 130), (154, 131), (154, 132), (154, 133), (154, 134), (154, 135), (154, 136), (154, 138), (155, 88), (155, 92), (155, 102), (155, 104), (155, 105), (155, 106), (155, 107), (155, 108), (155, 109),
(155, 110), (155, 111), (155, 113), (155, 121), (155, 123), (155, 124), (155, 125), (155, 126), (155, 127), (155, 128), (155, 129), (155, 130), (155, 131), (155, 132), (155, 133), (155, 134), (155, 135), (155, 137), (156, 83), (156, 85), (156, 86), (156, 87), (156, 90), (156, 92), (156, 103), (156, 105), (156, 106), (156, 107), (156, 108), (156, 109), (156, 112), (156, 121), (156, 123), (156, 124), (156, 125), (156, 126), (156, 127), (156, 128), (156, 129), (156, 130), (156, 131), (156, 132), (156, 133), (156, 134), (156, 135), (156, 137), (157, 88), (157, 90), (157, 91), (157, 93), (157, 104), (157, 106), (157, 107), (157, 108), (157, 111), (157, 121), (157, 123), (157, 124), (157, 125), (157, 126), (157, 127), (157, 128), (157, 129), (157, 130), (157, 131), (157, 132), (157, 133), (157, 134), (157, 135), (157, 137), (158, 88), (158, 94),
(158, 105), (158, 107), (158, 110), (158, 121), (158, 123), (158, 124), (158, 125), (158, 126), (158, 127), (158, 128), (158, 129), (158, 130), (158, 133), (158, 134), (158, 135), (158, 137), (159, 89), (159, 91), (159, 92), (159, 93), (159, 95), (159, 106), (159, 109), (159, 121), (159, 123), (159, 124), (159, 125), (159, 126), (159, 127), (159, 128), (159, 129), (159, 131), (159, 134), (159, 135), (159, 137), (160, 96), (160, 106), (160, 108), (160, 121), (160, 123), (160, 124), (160, 125), (160, 126), (160, 127), (160, 128), (160, 133), (160, 138), (161, 97), (161, 107), (161, 122), (161, 124), (161, 125), (161, 126), (161, 127), (161, 129), (161, 134), (161, 136), (161, 137), (161, 138), (161, 140), (162, 97), (162, 122), (162, 124), (162, 125), (162, 126), (162, 128), (162, 141), (162, 143), (163, 97), (163, 122), (163, 124), (163, 125),
(163, 127), (163, 142), (163, 145), (164, 97), (164, 122), (164, 125), (164, 127), (164, 142), (164, 144), (165, 97), (165, 121), (165, 123), (165, 127), (165, 142), (165, 144), (166, 121), (166, 125), (166, 126), (166, 142), (166, 143), (167, 120), (167, 126), (168, 98), (168, 126), (169, 126), (170, 126), (171, 126), (173, 127), )
coordinates_E1E1E1 = ((70, 122),
(70, 123), (71, 122), (71, 123), (72, 122), (72, 123), (73, 122), (73, 123), (74, 122), (74, 123), (75, 121), (75, 123), (75, 131), (76, 120), (76, 123), (76, 131), (77, 118), (77, 121), (77, 123), (77, 131), (78, 96), (78, 98), (78, 119), (78, 121), (78, 123), (78, 131), (79, 94), (79, 95), (79, 119), (79, 121), (79, 123), (79, 131), (80, 92), (80, 94), (80, 120), (80, 123), (80, 130), (80, 132), (81, 91), (81, 94), (81, 120), (81, 122), (81, 130), (81, 132), (82, 91), (82, 94), (82, 120), (82, 122), (82, 130), (82, 133), (83, 92), (83, 94), (83, 120), (83, 122), (83, 130), (83, 133), (84, 92), (84, 94), (84, 112), (84, 120), (84, 122), (84, 130), (84, 133), (85, 94), (85, 112), (85, 119), (85, 122), (85, 129), (85, 131), (85, 133), (85, 144), (86, 93), (86, 94),
(86, 112), (86, 119), (86, 122), (86, 129), (86, 131), (86, 133), (86, 142), (86, 145), (87, 94), (87, 111), (87, 113), (87, 120), (87, 121), (87, 123), (87, 128), (87, 130), (87, 131), (87, 132), (87, 134), (87, 141), (87, 144), (88, 94), (88, 95), (88, 103), (88, 111), (88, 113), (88, 116), (88, 119), (88, 120), (88, 121), (88, 122), (88, 123), (88, 124), (88, 127), (88, 129), (88, 130), (88, 131), (88, 132), (88, 133), (88, 135), (88, 139), (88, 142), (89, 93), (89, 95), (89, 102), (89, 105), (89, 109), (89, 111), (89, 112), (89, 113), (89, 115), (89, 118), (89, 119), (89, 120), (89, 121), (89, 122), (89, 123), (89, 125), (89, 128), (89, 129), (89, 130), (89, 131), (89, 132), (89, 133), (89, 134), (89, 136), (89, 137), (89, 138), (89, 141), (90, 92), (90, 94), (90, 96),
(90, 101), (90, 103), (90, 106), (90, 107), (90, 108), (90, 111), (90, 112), (90, 113), (90, 116), (90, 117), (90, 118), (90, 119), (90, 120), (90, 121), (90, 122), (90, 123), (90, 124), (90, 127), (90, 128), (90, 129), (90, 130), (90, 131), (90, 132), (90, 133), (90, 134), (90, 135), (90, 140), (91, 91), (91, 93), (91, 94), (91, 95), (91, 97), (91, 102), (91, 103), (91, 104), (91, 105), (91, 109), (91, 110), (91, 111), (91, 112), (91, 113), (91, 114), (91, 115), (91, 116), (91, 117), (91, 118), (91, 119), (91, 120), (91, 121), (91, 122), (91, 123), (91, 124), (91, 125), (91, 126), (91, 127), (91, 128), (91, 129), (91, 130), (91, 131), (91, 132), (91, 133), (91, 134), (91, 135), (91, 136), (91, 137), (91, 138), (91, 140), (92, 91), (92, 93), (92, 94), (92, 95), (92, 96),
(92, 98), (92, 99), (92, 101), (92, 102), (92, 103), (92, 104), (92, 105), (92, 106), (92, 107), (92, 108), (92, 109), (92, 110), (92, 111), (92, 112), (92, 113), (92, 114), (92, 115), (92, 116), (92, 117), (92, 118), (92, 119), (92, 120), (92, 121), (92, 122), (92, 123), (92, 124), (92, 125), (92, 126), (92, 127), (92, 128), (92, 129), (92, 130), (92, 131), (92, 132), (92, 133), (92, 140), (93, 91), (93, 95), (93, 96), (93, 97), (93, 100), (93, 104), (93, 105), (93, 106), (93, 107), (93, 108), (93, 109), (93, 110), (93, 111), (93, 112), (93, 113), (93, 114), (93, 115), (93, 116), (93, 117), (93, 118), (93, 119), (93, 120), (93, 121), (93, 122), (93, 123), (93, 124), (93, 127), (93, 128), (93, 129), (93, 130), (93, 134), (93, 135), (93, 136), (93, 137), (93, 138), (93, 140),
(94, 92), (94, 96), (94, 97), (94, 98), (94, 99), (94, 101), (94, 102), (94, 103), (94, 107), (94, 108), (94, 109), (94, 110), (94, 111), (94, 112), (94, 113), (94, 114), (94, 115), (94, 116), (94, 117), (94, 118), (94, 119), (94, 120), (94, 121), (94, 122), (94, 123), (94, 124), (94, 125), (94, 126), (94, 128), (94, 129), (94, 132), (94, 133), (95, 95), (95, 97), (95, 98), (95, 99), (95, 105), (95, 106), (95, 108), (95, 109), (95, 110), (95, 111), (95, 112), (95, 113), (95, 114), (95, 115), (95, 116), (95, 117), (95, 118), (95, 119), (95, 120), (95, 121), (95, 122), (95, 123), (95, 127), (95, 130), (96, 96), (96, 99), (96, 108), (96, 109), (96, 110), (96, 111), (96, 112), (96, 113), (96, 114), (96, 115), (96, 116), (96, 117), (96, 118), (96, 119), (96, 120), (96, 121),
(96, 123), (96, 128), (96, 129), (97, 97), (97, 108), (97, 110), (97, 111), (97, 117), (97, 118), (97, 119), (97, 120), (97, 121), (97, 123), (97, 129), (98, 98), (98, 108), (98, 110), (98, 113), (98, 114), (98, 115), (98, 116), (98, 118), (98, 119), (98, 120), (98, 121), (98, 122), (98, 124), (98, 129), (99, 107), (99, 109), (99, 111), (99, 118), (99, 119), (99, 120), (99, 121), (99, 122), (99, 124), (99, 128), (99, 129), (100, 107), (100, 110), (100, 118), (100, 120), (100, 121), (100, 122), (100, 123), (100, 124), (100, 125), (100, 126), (100, 129), (101, 83), (101, 106), (101, 109), (101, 119), (101, 122), (101, 128), (101, 129), (102, 76), (102, 78), (102, 79), (102, 80), (102, 84), (102, 105), (102, 108), (102, 119), (102, 122), (102, 129), (102, 130), (103, 78), (103, 79), (103, 80), (103, 81),
(103, 82), (103, 85), (103, 90), (103, 91), (103, 104), (103, 107), (103, 119), (103, 122), (103, 129), (103, 130), (104, 83), (104, 84), (104, 87), (104, 88), (104, 92), (104, 106), (104, 118), (104, 120), (104, 122), (104, 129), (104, 130), (105, 85), (105, 90), (105, 93), (105, 101), (105, 104), (105, 106), (105, 118), (105, 120), (105, 122), (105, 129), (105, 131), (106, 86), (106, 88), (106, 89), (106, 90), (106, 91), (106, 100), (106, 103), (106, 104), (106, 106), (106, 118), (106, 120), (106, 122), (106, 129), (107, 86), (107, 88), (107, 89), (107, 90), (107, 91), (107, 92), (107, 95), (107, 96), (107, 97), (107, 98), (107, 101), (107, 102), (107, 103), (107, 104), (107, 105), (107, 106), (107, 107), (107, 109), (107, 117), (107, 119), (107, 120), (107, 122), (107, 129), (107, 134), (108, 86), (108, 88), (108, 89),
(108, 90), (108, 91), (108, 92), (108, 93), (108, 94), (108, 99), (108, 100), (108, 101), (108, 102), (108, 103), (108, 104), (108, 105), (108, 106), (108, 108), (108, 117), (108, 119), (108, 120), (108, 121), (108, 129), (108, 131), (108, 132), (108, 134), (109, 85), (109, 90), (109, 91), (109, 92), (109, 93), (109, 94), (109, 95), (109, 96), (109, 97), (109, 98), (109, 99), (109, 100), (109, 101), (109, 102), (109, 103), (109, 104), (109, 105), (109, 106), (109, 117), (109, 119), (109, 121), (109, 128), (109, 129), (109, 133), (110, 74), (110, 76), (110, 77), (110, 78), (110, 79), (110, 80), (110, 81), (110, 82), (110, 83), (110, 87), (110, 88), (110, 91), (110, 92), (110, 93), (110, 94), (110, 95), (110, 96), (110, 97), (110, 98), (110, 99), (110, 100), (110, 101), (110, 102), (110, 103), (110, 104), (110, 105),
(110, 107), (110, 117), (110, 119), (110, 121), (110, 128), (111, 85), (111, 90), (111, 92), (111, 93), (111, 94), (111, 95), (111, 96), (111, 97), (111, 98), (111, 99), (111, 100), (111, 101), (111, 103), (111, 104), (111, 106), (111, 118), (111, 120), (111, 128), (112, 78), (112, 80), (112, 81), (112, 82), (112, 83), (112, 85), (112, 91), (112, 93), (112, 94), (112, 95), (112, 97), (112, 98), (112, 99), (112, 100), (112, 106), (112, 118), (112, 120), (112, 128), (113, 79), (113, 81), (113, 82), (113, 84), (113, 92), (113, 96), (113, 98), (113, 99), (113, 100), (113, 101), (113, 106), (113, 120), (113, 128), (114, 79), (114, 82), (114, 84), (114, 93), (114, 97), (114, 98), (114, 100), (114, 106), (114, 128), (115, 80), (115, 83), (115, 93), (115, 98), (115, 100), (115, 105), (116, 82), (116, 93), (116, 98),
(116, 99), (116, 106), (116, 107), (116, 127), (117, 99), (117, 106), (117, 107), (118, 99), )
coordinates_771286 = ((147, 125),
(148, 125), (149, 125), )
coordinates_781286 = ((97, 126),
(98, 126), )
coordinates_31CD32 = ((171, 140),
(172, 140), (173, 140), (173, 142), (174, 140), (174, 141), (175, 140), )
coordinates_32CD32 = ((73, 145),
(73, 147), (73, 149), (74, 144), (74, 147), (74, 150), (75, 143), (75, 145), (75, 146), (75, 147), (75, 148), (75, 150), (76, 142), (76, 144), (76, 145), (76, 146), (76, 149), (77, 142), (77, 144), (77, 145), (77, 148), (77, 149), (78, 142), (78, 144), (78, 146), (79, 142), (79, 145), (80, 141), (80, 144), (81, 141), (82, 141), )
coordinates_DCF8A4 = ((91, 165),
(92, 157), (92, 165), (93, 157), (93, 165), (94, 157), (94, 164), (94, 165), (95, 158), (95, 164), (95, 165), (96, 158), (96, 164), (96, 165), (97, 158), (97, 159), (97, 164), (98, 158), (98, 159), (98, 163), (98, 164), (99, 159), (99, 161), (99, 164), (100, 159), (100, 164), (101, 159), (101, 161), (101, 163), (102, 159), (102, 161), (102, 163), (103, 159), (103, 161), (103, 163), (104, 159), (104, 161), (104, 163), (105, 158), (105, 160), (105, 161), (105, 163), (106, 158), (106, 160), (106, 161), (106, 163), (107, 158), (107, 160), (107, 161), (107, 163), (108, 158), (108, 160), (108, 161), (108, 162), (108, 164), (109, 157), (109, 159), (109, 160), (109, 161), (109, 162), (109, 164), (110, 157), (110, 158), (110, 159), (110, 160), (110, 161), (110, 162), (110, 164), (110, 166), (111, 156), (111, 158), (111, 159), (111, 160),
(111, 163), (111, 167), (112, 155), (112, 157), (112, 158), (112, 159), (112, 162), (113, 154), (113, 156), (113, 157), (113, 158), (113, 159), (113, 161), (114, 147), (114, 148), (114, 153), (114, 155), (114, 156), (114, 157), (114, 160), (115, 147), (115, 148), (115, 155), (115, 156), (115, 159), (116, 149), (116, 152), (116, 156), (116, 158), (117, 145), (117, 147), (117, 148), (117, 149), (117, 150), (117, 151), (117, 152), (117, 153), (117, 154), (117, 155), )
coordinates_DBF8A4 = ((130, 149),
(130, 152), (130, 154), (131, 148), (131, 149), (131, 153), (131, 155), (132, 148), (132, 153), (132, 157), (133, 148), (133, 154), (133, 159), (133, 160), (133, 161), (134, 147), (134, 155), (134, 157), (134, 158), (134, 162), (134, 163), (134, 165), (135, 147), (135, 155), (135, 157), (135, 158), (135, 159), (135, 160), (135, 161), (135, 162), (135, 166), (136, 147), (136, 156), (136, 158), (136, 159), (136, 160), (136, 161), (136, 162), (136, 163), (136, 164), (136, 166), (137, 157), (137, 159), (137, 160), (137, 161), (137, 162), (137, 163), (137, 164), (137, 166), (138, 157), (138, 159), (138, 160), (138, 161), (138, 162), (138, 163), (138, 164), (138, 167), (139, 158), (139, 160), (139, 161), (139, 162), (139, 163), (139, 167), (140, 158), (140, 160), (140, 161), (140, 162), (140, 164), (140, 169), (141, 158), (141, 160), (141, 161), (141, 163),
(141, 170), (142, 158), (142, 160), (142, 161), (142, 163), (143, 158), (143, 160), (143, 161), (143, 163), (144, 158), (144, 160), (144, 161), (144, 162), (144, 164), (145, 158), (145, 160), (145, 161), (145, 162), (145, 164), (146, 158), (146, 160), (146, 161), (146, 162), (146, 164), (147, 158), (147, 164), (148, 158), (148, 161), (148, 164), (149, 158), (149, 159), (149, 163), (149, 164), (150, 158), (150, 164), (150, 165), (151, 157), (151, 158), (151, 164), (151, 165), (152, 157), (152, 164), (152, 166), (153, 157), (153, 166), (154, 157), (154, 165), (155, 156), (155, 157), (156, 156), (157, 156), (157, 165), (158, 156), (159, 156), (160, 156), )
coordinates_60CC60 = ((76, 157),
(76, 161), (76, 164), (77, 156), (77, 158), (77, 159), (77, 160), (77, 165), (78, 154), (78, 157), (78, 161), (78, 162), (78, 163), (78, 164), (78, 166), (79, 154), (79, 156), (79, 157), (79, 158), (79, 159), (79, 160), (79, 161), (79, 162), (79, 163), (79, 164), (79, 165), (79, 167), (80, 153), (80, 155), (80, 156), (80, 157), (80, 158), (80, 159), (80, 160), (80, 161), (80, 162), (80, 163), (80, 164), (80, 165), (80, 166), (80, 168), (81, 153), (81, 155), (81, 156), (81, 157), (81, 158), (81, 159), (81, 160), (81, 161), (81, 162), (81, 163), (81, 164), (81, 165), (81, 166), (81, 167), (81, 169), (82, 153), (82, 155), (82, 156), (82, 157), (82, 158), (82, 159), (82, 160), (82, 161), (82, 162), (82, 163), (82, 164), (82, 165), (82, 166), (82, 167), (82, 168), (82, 170), (83, 152),
(83, 154), (83, 155), (83, 156), (83, 157), (83, 158), (83, 159), (83, 160), (83, 161), (83, 162), (83, 163), (83, 164), (83, 165), (83, 166), (83, 167), (83, 168), (83, 169), (83, 172), (84, 152), (84, 154), (84, 155), (84, 156), (84, 157), (84, 158), (84, 159), (84, 160), (84, 161), (84, 162), (84, 163), (84, 164), (84, 165), (84, 166), (84, 167), (84, 168), (84, 169), (84, 170), (84, 173), (85, 151), (85, 153), (85, 154), (85, 155), (85, 156), (85, 157), (85, 158), (85, 159), (85, 160), (85, 161), (85, 162), (85, 163), (85, 164), (85, 165), (85, 166), (85, 167), (85, 168), (85, 169), (85, 170), (85, 171), (85, 173), (86, 151), (86, 153), (86, 154), (86, 155), (86, 156), (86, 157), (86, 158), (86, 159), (86, 160), (86, 161), (86, 162), (86, 163), (86, 164), (86, 165), (86, 166),
(86, 167), (86, 168), (86, 169), (86, 170), (86, 171), (86, 172), (86, 174), (87, 151), (87, 153), (87, 154), (87, 155), (87, 156), (87, 157), (87, 158), (87, 159), (87, 160), (87, 161), (87, 162), (87, 163), (87, 164), (87, 166), (87, 167), (87, 168), (87, 169), (87, 170), (87, 171), (87, 172), (87, 174), (88, 150), (88, 152), (88, 153), (88, 154), (88, 155), (88, 158), (88, 159), (88, 160), (88, 161), (88, 162), (88, 163), (88, 164), (88, 167), (88, 168), (88, 169), (88, 170), (88, 171), (88, 172), (88, 173), (88, 175), (89, 150), (89, 152), (89, 153), (89, 154), (89, 155), (89, 158), (89, 159), (89, 160), (89, 161), (89, 162), (89, 164), (89, 167), (89, 169), (89, 170), (89, 171), (89, 172), (89, 173), (89, 175), (90, 149), (90, 151), (90, 152), (90, 153), (90, 155), (90, 158),
(90, 160), (90, 161), (90, 163), (90, 167), (90, 169), (90, 170), (90, 171), (90, 172), (90, 173), (90, 174), (90, 176), (91, 149), (91, 151), (91, 152), (91, 153), (91, 155), (91, 158), (91, 159), (91, 160), (91, 161), (91, 163), (91, 167), (91, 169), (91, 170), (91, 171), (91, 172), (91, 173), (91, 174), (91, 176), (92, 148), (92, 150), (92, 151), (92, 152), (92, 153), (92, 155), (92, 159), (92, 161), (92, 163), (92, 167), (92, 169), (92, 170), (92, 171), (92, 172), (92, 173), (92, 174), (92, 176), (93, 148), (93, 150), (93, 151), (93, 152), (93, 153), (93, 155), (93, 159), (93, 162), (93, 167), (93, 169), (93, 170), (93, 171), (93, 172), (93, 173), (93, 174), (93, 175), (93, 177), (94, 147), (94, 149), (94, 150), (94, 151), (94, 152), (94, 153), (94, 155), (94, 160), (94, 162),
(94, 167), (94, 169), (94, 170), (94, 171), (94, 172), (94, 173), (94, 174), (94, 175), (94, 177), (95, 147), (95, 149), (95, 150), (95, 151), (95, 152), (95, 153), (95, 155), (95, 160), (95, 162), (95, 167), (95, 169), (95, 170), (95, 171), (95, 172), (95, 173), (95, 174), (95, 175), (95, 176), (95, 178), (96, 147), (96, 149), (96, 150), (96, 151), (96, 152), (96, 153), (96, 154), (96, 156), (96, 160), (96, 162), (96, 167), (96, 169), (96, 170), (96, 171), (96, 172), (96, 173), (96, 174), (96, 175), (96, 176), (96, 177), (97, 146), (97, 148), (97, 149), (97, 150), (97, 151), (97, 152), (97, 153), (97, 154), (97, 156), (97, 161), (97, 167), (97, 169), (97, 170), (97, 171), (97, 172), (97, 173), (97, 174), (97, 175), (97, 176), (97, 177), (97, 179), (98, 145), (98, 147), (98, 148),
(98, 149), (98, 150), (98, 151), (98, 152), (98, 153), (98, 154), (98, 156), (98, 166), (98, 168), (98, 169), (98, 170), (98, 171), (98, 172), (98, 173), (98, 174), (98, 175), (98, 176), (98, 177), (98, 178), (98, 180), (99, 145), (99, 147), (99, 148), (99, 149), (99, 150), (99, 151), (99, 152), (99, 153), (99, 154), (99, 156), (99, 166), (99, 168), (99, 169), (99, 170), (99, 171), (99, 172), (99, 173), (99, 174), (99, 175), (99, 176), (99, 177), (99, 178), (99, 180), (100, 144), (100, 146), (100, 147), (100, 148), (100, 149), (100, 150), (100, 151), (100, 152), (100, 153), (100, 154), (100, 156), (100, 166), (100, 168), (100, 169), (100, 170), (100, 171), (100, 172), (100, 173), (100, 174), (100, 175), (100, 176), (100, 177), (100, 179), (101, 144), (101, 146), (101, 147), (101, 148), (101, 149), (101, 150),
(101, 151), (101, 152), (101, 153), (101, 154), (101, 156), (101, 166), (101, 168), (101, 169), (101, 170), (101, 171), (101, 172), (101, 173), (101, 174), (101, 175), (101, 176), (101, 177), (101, 179), (102, 143), (102, 145), (102, 146), (102, 147), (102, 148), (102, 149), (102, 150), (102, 151), (102, 152), (102, 153), (102, 154), (102, 156), (102, 165), (102, 167), (102, 168), (102, 169), (102, 170), (102, 171), (102, 172), (102, 173), (102, 174), (102, 175), (102, 176), (102, 177), (102, 179), (103, 143), (103, 145), (103, 146), (103, 147), (103, 148), (103, 149), (103, 150), (103, 151), (103, 152), (103, 153), (103, 154), (103, 156), (103, 165), (103, 167), (103, 168), (103, 169), (103, 170), (103, 171), (103, 172), (103, 173), (103, 174), (103, 175), (103, 176), (103, 178), (104, 143), (104, 145), (104, 146), (104, 147), (104, 148), (104, 149),
(104, 150), (104, 151), (104, 152), (104, 153), (104, 154), (104, 156), (104, 165), (104, 167), (104, 168), (104, 169), (104, 170), (104, 171), (104, 172), (104, 173), (104, 174), (104, 175), (104, 176), (104, 178), (105, 142), (105, 144), (105, 145), (105, 146), (105, 147), (105, 148), (105, 149), (105, 150), (105, 151), (105, 152), (105, 153), (105, 154), (105, 156), (105, 165), (105, 167), (105, 168), (105, 169), (105, 170), (105, 171), (105, 172), (105, 173), (105, 174), (105, 175), (105, 176), (105, 178), (106, 141), (106, 143), (106, 144), (106, 145), (106, 146), (106, 147), (106, 148), (106, 149), (106, 150), (106, 151), (106, 152), (106, 153), (106, 154), (106, 156), (106, 165), (106, 167), (106, 168), (106, 169), (106, 170), (106, 171), (106, 172), (106, 173), (106, 174), (106, 175), (106, 177), (107, 141), (107, 143), (107, 144), (107, 145),
(107, 146), (107, 147), (107, 148), (107, 149), (107, 150), (107, 151), (107, 152), (107, 153), (107, 154), (107, 156), (107, 168), (107, 169), (107, 170), (107, 171), (107, 172), (107, 173), (107, 174), (107, 175), (107, 177), (108, 140), (108, 142), (108, 143), (108, 144), (108, 145), (108, 146), (108, 147), (108, 148), (108, 149), (108, 150), (108, 151), (108, 152), (108, 153), (108, 155), (108, 166), (108, 169), (108, 170), (108, 171), (108, 172), (108, 173), (108, 174), (108, 175), (108, 177), (109, 140), (109, 142), (109, 143), (109, 144), (109, 145), (109, 146), (109, 147), (109, 148), (109, 149), (109, 150), (109, 151), (109, 152), (109, 153), (109, 155), (109, 168), (109, 170), (109, 171), (109, 172), (109, 173), (109, 174), (109, 175), (109, 177), (110, 139), (110, 141), (110, 142), (110, 143), (110, 144), (110, 145), (110, 146), (110, 149),
(110, 150), (110, 151), (110, 152), (110, 154), (110, 169), (110, 171), (110, 172), (110, 173), (110, 174), (110, 175), (110, 177), (111, 138), (111, 140), (111, 141), (111, 142), (111, 143), (111, 144), (111, 145), (111, 146), (111, 149), (111, 150), (111, 151), (111, 153), (111, 169), (111, 171), (111, 172), (111, 173), (111, 174), (111, 175), (111, 177), (112, 137), (112, 139), (112, 140), (112, 141), (112, 144), (112, 146), (112, 149), (112, 150), (112, 151), (112, 153), (112, 164), (112, 169), (112, 171), (112, 172), (112, 173), (112, 174), (112, 176), (113, 136), (113, 138), (113, 139), (113, 140), (113, 141), (113, 142), (113, 145), (113, 146), (113, 149), (113, 152), (113, 163), (113, 167), (113, 168), (113, 169), (113, 170), (113, 171), (113, 172), (113, 173), (113, 174), (113, 176), (114, 135), (114, 137), (114, 138), (114, 139), (114, 141),
(114, 144), (114, 145), (114, 150), (114, 151), (114, 162), (114, 165), (114, 169), (114, 170), (114, 171), (114, 172), (114, 173), (114, 174), (114, 176), (115, 135), (115, 137), (115, 138), (115, 139), (115, 141), (115, 145), (115, 161), (115, 171), (115, 172), (115, 173), (115, 174), (115, 176), (116, 135), (116, 137), (116, 138), (116, 139), (116, 141), (116, 160), (116, 162), (116, 163), (116, 164), (116, 165), (116, 166), (116, 167), (116, 168), (116, 169), (116, 173), (116, 175), (117, 134), (117, 142), (117, 159), (117, 171), (117, 175), (118, 134), (118, 136), (118, 137), (118, 138), (118, 139), (118, 140), (118, 141), (118, 142), (118, 143), (118, 157), (118, 158), (118, 174), (119, 133), )
coordinates_5FCC60 = ((127, 158),
(128, 157), (128, 159), (128, 174), (129, 137), (129, 157), (129, 160), (129, 169), (129, 170), (130, 137), (130, 139), (130, 140), (130, 141), (130, 142), (130, 143), (130, 144), (130, 146), (130, 157), (130, 162), (130, 163), (130, 164), (130, 165), (130, 166), (130, 167), (130, 168), (130, 171), (130, 175), (131, 138), (131, 146), (131, 159), (131, 160), (131, 161), (131, 162), (131, 169), (131, 170), (131, 173), (131, 175), (132, 138), (132, 140), (132, 141), (132, 142), (132, 143), (132, 144), (132, 146), (132, 151), (132, 164), (132, 165), (132, 168), (132, 169), (132, 170), (132, 171), (132, 172), (132, 173), (132, 175), (133, 139), (133, 141), (133, 142), (133, 143), (133, 145), (133, 150), (133, 152), (133, 167), (133, 169), (133, 170), (133, 171), (133, 172), (133, 173), (133, 174), (133, 176), (134, 140), (134, 142), (134, 143), (134, 145),
(134, 150), (134, 152), (134, 168), (134, 170), (134, 171), (134, 172), (134, 173), (134, 174), (134, 176), (135, 140), (135, 142), (135, 143), (135, 145), (135, 149), (135, 151), (135, 153), (135, 168), (135, 170), (135, 171), (135, 172), (135, 173), (135, 174), (135, 175), (135, 176), (135, 177), (136, 141), (136, 143), (136, 145), (136, 149), (136, 151), (136, 152), (136, 154), (136, 168), (136, 170), (136, 171), (136, 172), (136, 173), (136, 174), (136, 175), (136, 176), (136, 177), (137, 141), (137, 143), (137, 145), (137, 149), (137, 151), (137, 152), (137, 154), (137, 169), (137, 171), (137, 172), (137, 173), (137, 174), (137, 175), (137, 176), (137, 177), (138, 142), (138, 145), (138, 148), (138, 150), (138, 151), (138, 152), (138, 153), (138, 155), (138, 169), (138, 172), (138, 173), (138, 174), (138, 175), (138, 177), (139, 142), (139, 145),
(139, 148), (139, 150), (139, 151), (139, 152), (139, 153), (139, 155), (139, 170), (139, 172), (139, 173), (139, 174), (139, 175), (139, 177), (140, 143), (140, 145), (140, 147), (140, 148), (140, 149), (140, 150), (140, 151), (140, 152), (140, 153), (140, 154), (140, 156), (140, 172), (140, 174), (140, 175), (140, 177), (141, 143), (141, 145), (141, 148), (141, 149), (141, 150), (141, 151), (141, 152), (141, 153), (141, 154), (141, 156), (141, 166), (141, 172), (141, 174), (141, 175), (141, 177), (142, 143), (142, 145), (142, 146), (142, 147), (142, 148), (142, 149), (142, 150), (142, 151), (142, 152), (142, 153), (142, 154), (142, 156), (142, 165), (142, 169), (142, 172), (142, 174), (142, 175), (142, 176), (142, 177), (142, 178), (143, 143), (143, 145), (143, 146), (143, 147), (143, 148), (143, 149), (143, 150), (143, 151), (143, 152), (143, 153),
(143, 154), (143, 156), (143, 165), (143, 167), (143, 170), (143, 171), (143, 172), (143, 173), (143, 174), (143, 175), (143, 176), (143, 177), (143, 178), (144, 144), (144, 146), (144, 147), (144, 148), (144, 149), (144, 150), (144, 151), (144, 152), (144, 153), (144, 154), (144, 156), (144, 166), (144, 168), (144, 169), (144, 172), (144, 173), (144, 174), (144, 175), (144, 176), (144, 177), (144, 178), (145, 144), (145, 146), (145, 147), (145, 148), (145, 149), (145, 150), (145, 151), (145, 152), (145, 153), (145, 154), (145, 156), (145, 166), (145, 168), (145, 169), (145, 170), (145, 171), (145, 172), (145, 173), (145, 174), (145, 175), (145, 176), (145, 177), (145, 178), (146, 144), (146, 145), (146, 146), (146, 147), (146, 148), (146, 149), (146, 150), (146, 151), (146, 152), (146, 153), (146, 154), (146, 156), (146, 166), (146, 168), (146, 169),
(146, 170), (146, 171), (146, 172), (146, 173), (146, 174), (146, 175), (146, 177), (147, 145), (147, 147), (147, 148), (147, 149), (147, 150), (147, 151), (147, 152), (147, 153), (147, 154), (147, 156), (147, 166), (147, 168), (147, 169), (147, 170), (147, 171), (147, 172), (147, 173), (147, 174), (147, 175), (147, 176), (147, 178), (148, 145), (148, 147), (148, 148), (148, 149), (148, 150), (148, 151), (148, 152), (148, 153), (148, 154), (148, 156), (148, 166), (148, 168), (148, 169), (148, 170), (148, 171), (148, 172), (148, 173), (148, 174), (148, 175), (148, 176), (148, 178), (149, 146), (149, 148), (149, 149), (149, 150), (149, 151), (149, 152), (149, 153), (149, 154), (149, 156), (149, 167), (149, 169), (149, 170), (149, 171), (149, 172), (149, 173), (149, 174), (149, 175), (149, 176), (149, 178), (150, 146), (150, 148), (150, 149), (150, 150),
(150, 151), (150, 152), (150, 153), (150, 155), (150, 161), (150, 167), (150, 169), (150, 170), (150, 171), (150, 172), (150, 173), (150, 174), (150, 175), (150, 176), (150, 177), (150, 179), (151, 146), (151, 147), (151, 148), (151, 149), (151, 150), (151, 151), (151, 152), (151, 153), (151, 155), (151, 160), (151, 162), (151, 168), (151, 170), (151, 171), (151, 172), (151, 173), (151, 174), (151, 175), (151, 176), (151, 178), (152, 147), (152, 149), (152, 150), (152, 151), (152, 152), (152, 153), (152, 155), (152, 160), (152, 162), (152, 168), (152, 170), (152, 171), (152, 172), (152, 173), (152, 174), (152, 175), (152, 176), (152, 178), (153, 147), (153, 149), (153, 150), (153, 151), (153, 152), (153, 153), (153, 155), (153, 159), (153, 162), (153, 169), (153, 171), (153, 172), (153, 173), (153, 174), (153, 175), (153, 176), (153, 178), (154, 148),
(154, 150), (154, 151), (154, 152), (154, 154), (154, 159), (154, 162), (154, 169), (154, 171), (154, 172), (154, 173), (154, 174), (154, 175), (154, 176), (154, 178), (155, 148), (155, 150), (155, 151), (155, 152), (155, 154), (155, 159), (155, 161), (155, 163), (155, 168), (155, 169), (155, 170), (155, 171), (155, 172), (155, 173), (155, 174), (155, 175), (155, 176), (155, 177), (156, 148), (156, 150), (156, 151), (156, 152), (156, 154), (156, 159), (156, 161), (156, 163), (156, 167), (156, 169), (156, 170), (156, 171), (156, 172), (156, 173), (156, 174), (156, 175), (156, 177), (157, 148), (157, 150), (157, 151), (157, 153), (157, 159), (157, 161), (157, 163), (157, 167), (157, 169), (157, 170), (157, 171), (157, 172), (157, 173), (157, 174), (157, 176), (158, 148), (158, 150), (158, 151), (158, 152), (158, 154), (158, 159), (158, 161), (158, 163),
(158, 166), (158, 168), (158, 169), (158, 170), (158, 171), (158, 172), (158, 173), (158, 174), (158, 176), (159, 148), (159, 150), (159, 151), (159, 152), (159, 154), (159, 158), (159, 160), (159, 161), (159, 163), (159, 166), (159, 168), (159, 169), (159, 170), (159, 171), (159, 172), (159, 173), (159, 175), (160, 149), (160, 151), (160, 152), (160, 154), (160, 158), (160, 160), (160, 161), (160, 163), (160, 166), (160, 168), (160, 169), (160, 170), (160, 171), (160, 172), (160, 173), (160, 175), (161, 149), (161, 151), (161, 152), (161, 154), (161, 158), (161, 160), (161, 161), (161, 162), (161, 163), (161, 164), (161, 166), (161, 167), (161, 168), (161, 169), (161, 170), (161, 171), (161, 172), (161, 174), (162, 150), (162, 152), (162, 153), (162, 155), (162, 158), (162, 160), (162, 161), (162, 162), (162, 163), (162, 164), (162, 166), (162, 167),
(162, 168), (162, 169), (162, 170), (162, 171), (162, 173), (163, 150), (163, 152), (163, 153), (163, 155), (163, 158), (163, 160), (163, 161), (163, 162), (163, 163), (163, 164), (163, 165), (163, 166), (163, 167), (163, 168), (163, 169), (163, 170), (163, 172), (164, 150), (164, 152), (164, 153), (164, 154), (164, 155), (164, 156), (164, 158), (164, 159), (164, 160), (164, 161), (164, 162), (164, 163), (164, 164), (164, 165), (164, 166), (164, 167), (164, 168), (164, 169), (164, 171), (165, 151), (165, 153), (165, 154), (165, 155), (165, 158), (165, 159), (165, 160), (165, 161), (165, 162), (165, 163), (165, 164), (165, 165), (165, 166), (165, 167), (165, 168), (165, 170), (166, 151), (166, 153), (166, 154), (166, 155), (166, 156), (166, 157), (166, 158), (166, 159), (166, 160), (166, 161), (166, 162), (166, 163), (166, 164), (166, 165), (166, 166),
(166, 167), (166, 169), (167, 151), (167, 153), (167, 154), (167, 155), (167, 156), (167, 157), (167, 158), (167, 159), (167, 160), (167, 161), (167, 162), (167, 163), (167, 164), (167, 165), (167, 166), (167, 168), (168, 151), (168, 153), (168, 154), (168, 155), (168, 156), (168, 157), (168, 158), (168, 159), (168, 160), (168, 161), (168, 162), (168, 163), (168, 167), (169, 152), (169, 154), (169, 155), (169, 156), (169, 157), (169, 158), (169, 159), (169, 160), (169, 161), (169, 162), (169, 166), (170, 153), (170, 155), (170, 156), (170, 157), (170, 158), (170, 159), (170, 160), (170, 161), (170, 163), (171, 153), (171, 155), (171, 156), (171, 157), (171, 162), (172, 153), (172, 158), (172, 159), (172, 160), (173, 154), (173, 156), )
coordinates_F4DEB3 = ((128, 72),
(129, 71), (129, 73), (130, 71), (130, 73), (131, 70), (131, 73), (132, 70), (132, 73), (133, 70), (133, 71), (133, 73), (134, 69), (134, 72), (135, 69), (135, 71), (136, 69), (136, 71), (137, 68), (137, 70), (138, 68), (138, 70), (138, 86), (138, 88), (139, 69), (139, 71), (139, 78), (139, 79), (139, 84), (139, 89), (140, 69), (140, 71), (140, 77), (140, 79), (140, 80), (140, 81), (140, 82), (140, 83), (140, 86), (140, 87), (140, 89), (141, 69), (141, 71), (141, 76), (141, 77), (141, 81), (141, 84), (141, 85), (141, 86), (141, 88), (142, 70), (142, 72), (142, 75), (142, 76), (142, 81), (142, 83), (142, 84), (142, 85), (142, 87), (143, 70), (143, 73), (143, 76), (143, 81), (143, 86), (144, 71), (144, 75), (144, 80), (144, 82), (144, 83), (144, 85), (145, 72), (145, 75), (145, 79),
(145, 80), (146, 76), (146, 78), (147, 76), (147, 77), (147, 90), (147, 91), (147, 92), (147, 93), (147, 94), (147, 96), (148, 75), (148, 77), (148, 88), (148, 91), (148, 92), (149, 75), (149, 86), (149, 89), (149, 90), (150, 74), (150, 76), (150, 77), (150, 78), (150, 79), (150, 80), (150, 81), (150, 82), (150, 83), (150, 84), (150, 87), (150, 88), (151, 75), (151, 83), (151, 84), (151, 85), (151, 86), )
coordinates_26408B = ((122, 112),
(122, 114), (123, 80), (123, 83), (123, 87), (123, 89), (123, 90), (123, 91), (123, 92), (123, 93), (123, 96), (123, 97), (123, 98), (123, 99), (123, 100), (123, 101), (123, 102), (123, 103), (123, 104), (123, 105), (123, 106), (123, 107), (123, 108), (123, 109), (123, 110), (123, 116), (124, 79), (124, 85), (124, 86), (124, 108), (124, 109), (124, 111), (124, 112), (124, 113), (124, 114), (124, 116), (125, 76), (125, 77), (125, 78), (125, 79), (125, 80), (125, 81), (125, 83), (125, 87), (125, 90), (125, 91), (125, 92), (125, 93), (125, 95), (125, 96), (125, 97), (125, 100), (125, 102), (125, 103), (125, 104), (125, 105), (125, 107), (125, 110), (125, 112), (125, 113), (125, 114), (125, 116), (126, 73), (126, 77), (126, 78), (126, 82), (126, 83), (126, 84), (126, 85), (126, 88), (126, 91), (126, 93), (126, 94),
(126, 95), (126, 96), (126, 98), (126, 102), (126, 103), (126, 104), (126, 106), (126, 111), (126, 113), (126, 114), (126, 115), (127, 74), (127, 76), (127, 83), (127, 87), (127, 91), (127, 93), (127, 94), (127, 95), (127, 97), (127, 102), (127, 104), (127, 106), (127, 111), (127, 113), (127, 115), (128, 83), (128, 85), (128, 91), (128, 93), (128, 94), (128, 96), (128, 102), (128, 106), (128, 111), (128, 114), (129, 83), (129, 84), (129, 91), (129, 95), (129, 103), (129, 105), (129, 111), (129, 114), (130, 91), (130, 94), (130, 104), (130, 112), (130, 115), (131, 91), (131, 113), (131, 115), (132, 114), (132, 116), (133, 114), (133, 116), (134, 106), (134, 109), (134, 113), (134, 116), (135, 99), (135, 101), (135, 102), (135, 103), (135, 104), (135, 110), (135, 111), (135, 115), (136, 98), (136, 106), (136, 107), (136, 108),
(136, 109), (136, 113), (136, 115), (137, 98), (137, 100), (137, 101), (137, 102), (137, 103), (137, 107), (137, 108), (137, 109), (137, 110), (137, 111), (137, 112), (137, 114), (138, 97), (138, 99), (138, 100), (138, 101), (138, 102), (138, 105), (138, 106), (138, 109), (138, 110), (138, 111), (138, 113), (139, 98), (139, 99), (139, 100), (139, 101), (139, 103), (139, 107), (139, 110), (139, 111), (139, 112), (139, 113), (139, 114), (140, 98), (140, 102), (140, 108), (140, 111), (140, 112), (140, 114), (141, 99), (141, 101), (141, 109), (141, 112), (141, 114), (142, 110), (142, 114), (143, 111), (143, 114), (144, 112), (144, 114), )
coordinates_F5DEB3 = ((92, 78),
(92, 79), (93, 77), (93, 79), (94, 76), (94, 78), (94, 80), (95, 75), (95, 77), (95, 78), (95, 80), (96, 75), (96, 77), (96, 78), (96, 79), (96, 81), (97, 74), (97, 76), (97, 77), (97, 78), (97, 79), (97, 80), (97, 83), (98, 74), (98, 76), (98, 77), (98, 78), (98, 79), (98, 80), (98, 85), (98, 106), (99, 73), (99, 75), (99, 81), (99, 82), (99, 86), (99, 103), (99, 105), (100, 73), (100, 75), (100, 76), (100, 77), (100, 78), (100, 80), (100, 85), (100, 88), (100, 89), (100, 90), (100, 91), (100, 93), (100, 102), (100, 104), (101, 72), (101, 74), (101, 86), (101, 89), (101, 90), (101, 94), (101, 103), (102, 72), (102, 74), (102, 87), (102, 88), (102, 92), (102, 94), (102, 101), (102, 102), (103, 73), (103, 74), (103, 93), (103, 95), (103, 101), (104, 74),
(104, 76), (104, 94), (104, 96), (104, 100), (105, 74), (105, 77), (105, 78), (105, 79), (105, 80), (105, 81), (105, 95), (105, 98), (106, 74), (106, 76), (106, 82), (106, 84), (107, 71), (107, 73), (107, 84), (108, 70), (108, 74), (108, 75), (108, 76), (108, 77), (108, 78), (108, 79), (108, 80), (108, 81), (108, 83), (109, 70), (109, 73), (110, 70), (110, 72), (111, 69), (111, 72), (112, 69), (112, 71), (113, 69), (113, 70), (114, 69), )
coordinates_016400 = ((125, 127),
(125, 128), (126, 127), (126, 129), (127, 129), (128, 130), (128, 131), (129, 130), (129, 132), (130, 131), (130, 134), (130, 135), (131, 131), (131, 135), (132, 131), (132, 133), (132, 134), (132, 136), (133, 130), (133, 135), (133, 137), (134, 130), (134, 132), (134, 133), (134, 134), (134, 135), (134, 137), (135, 136), (135, 138), (136, 136), (136, 138), (137, 135), (137, 137), (137, 139), (138, 134), (138, 139), (139, 133), (139, 136), (139, 137), (139, 140), (140, 132), (140, 134), (140, 138), (140, 140), (141, 131), (141, 133), (142, 131), (142, 132), (143, 130), (143, 132), (144, 130), (144, 131), (145, 131), (146, 129), (146, 130), (147, 129), (148, 129), )
coordinates_CC5B45 = ((149, 94),
(149, 96), (150, 92), (151, 89), (151, 90), (152, 76), (152, 78), (152, 79), (152, 80), (152, 87), (152, 89), (153, 82), (153, 83), (153, 84), (153, 85), (153, 86), (153, 88), (154, 77), (154, 79), (154, 80), (154, 81), (155, 78), (155, 81), (155, 94), (155, 95), (155, 97), (156, 78), (156, 81), (156, 95), (156, 98), (157, 79), (157, 81), (157, 82), (157, 96), (157, 98), (158, 80), (158, 83), (158, 84), (158, 86), (158, 96), (158, 99), (159, 81), (159, 86), (159, 97), (159, 99), (160, 82), (160, 84), (160, 85), (160, 87), (160, 98), (160, 99), (161, 83), (161, 85), (161, 86), (161, 87), (161, 89), (161, 90), (161, 91), (161, 92), (161, 94), (161, 99), (162, 86), (162, 87), (162, 92), (162, 95), (162, 99), (162, 100), (163, 85), (163, 90), (163, 94), (163, 95), (163, 99), (163, 100),
(164, 86), (164, 89), (164, 94), (164, 95), (164, 99), (164, 100), (165, 94), (165, 95), (165, 99), (165, 100), (165, 114), (166, 94), (166, 95), (166, 99), (166, 101), (166, 114), (167, 93), (167, 96), (167, 100), (167, 101), (167, 113), (168, 93), (168, 96), (168, 100), (168, 101), (168, 106), (168, 113), (169, 94), (169, 96), (169, 100), (169, 103), (169, 104), (169, 107), (169, 109), (169, 113), (170, 95), (170, 98), (170, 99), (170, 100), (170, 101), (170, 106), (170, 109), (170, 112), (170, 113), (171, 96), (171, 100), (171, 101), (171, 102), (171, 103), (171, 104), (171, 105), (171, 106), (171, 107), (171, 108), (171, 109), (171, 110), (171, 113), (172, 97), (172, 99), (172, 100), (172, 101), (172, 102), (172, 103), (172, 104), (172, 105), (172, 106), (172, 107), (172, 108), (172, 109), (172, 112), (172, 113), (172, 114),
(173, 98), (173, 103), (173, 104), (173, 107), (173, 108), (173, 109), (173, 110), (173, 111), (173, 112), (173, 114), (174, 99), (174, 101), (174, 102), (174, 105), (174, 108), (174, 109), (174, 110), (174, 111), (174, 112), (174, 114), (175, 104), (175, 107), (175, 110), (175, 111), (175, 112), (175, 113), (175, 115), (176, 108), (176, 115), (177, 110), (177, 111), (177, 112), (177, 114), )
coordinates_27408B = ((100, 114),
(101, 111), (101, 113), (102, 110), (102, 113), (103, 109), (103, 113), (104, 109), (104, 111), (104, 113), (105, 108), (105, 110), (105, 111), (105, 113), (106, 111), (106, 113), (107, 111), (107, 113), (108, 111), (108, 113), (109, 110), (109, 112), (110, 109), (110, 112), (111, 108), (111, 111), (112, 73), (112, 75), (112, 87), (112, 88), (112, 108), (112, 111), (113, 72), (113, 76), (113, 86), (113, 90), (113, 108), (113, 111), (114, 71), (114, 73), (114, 74), (114, 77), (114, 86), (114, 88), (114, 90), (114, 108), (114, 110), (114, 112), (115, 70), (115, 71), (115, 75), (115, 78), (115, 85), (115, 87), (115, 88), (115, 89), (115, 90), (115, 96), (115, 102), (115, 103), (115, 109), (115, 112), (116, 69), (116, 76), (116, 79), (116, 85), (116, 87), (116, 88), (116, 89), (116, 91), (116, 95), (116, 96), (116, 103),
(116, 109), (116, 111), (116, 113), (117, 77), (117, 80), (117, 84), (117, 86), (117, 87), (117, 88), (117, 89), (117, 91), (117, 94), (117, 96), (117, 101), (117, 104), (117, 109), (117, 111), (117, 112), (117, 114), (118, 77), (118, 79), (118, 82), (118, 87), (118, 88), (118, 89), (118, 90), (118, 91), (118, 97), (118, 101), (118, 104), (118, 109), (118, 111), (118, 112), (118, 113), (118, 115), (119, 78), (119, 80), (119, 85), (119, 86), (119, 97), (119, 100), (119, 105), (119, 108), (119, 113), (119, 114), (120, 79), (120, 83), (120, 87), (120, 89), (120, 90), (120, 91), (120, 92), (120, 93), (120, 96), (120, 97), (120, 98), (120, 99), (120, 100), (120, 101), (120, 102), (120, 103), (120, 104), (120, 105), (120, 106), (120, 107), (120, 108), (120, 109), (120, 110), (120, 111), (120, 112), (120, 117), (121, 79),
(121, 83), (121, 96), )
coordinates_006400 = ((98, 131),
(98, 133), (99, 131), (99, 135), (99, 136), (99, 137), (99, 138), (99, 139), (99, 140), (99, 142), (100, 132), (100, 134), (100, 142), (101, 132), (101, 134), (101, 135), (101, 136), (101, 137), (101, 138), (101, 139), (101, 141), (102, 132), (102, 134), (102, 135), (102, 136), (102, 137), (102, 138), (102, 139), (102, 141), (103, 132), (103, 134), (103, 135), (103, 136), (103, 137), (103, 138), (103, 139), (103, 141), (104, 133), (104, 135), (104, 136), (104, 137), (104, 138), (104, 140), (105, 134), (105, 136), (105, 137), (105, 138), (105, 140), (106, 135), (106, 137), (106, 139), (107, 136), (108, 136), (108, 138), (109, 136), (109, 137), (110, 131), (110, 135), (110, 136), (111, 130), (111, 133), (112, 130), (113, 130), (113, 133), (113, 134), (114, 130), (114, 131), (115, 130), (116, 129), (117, 128), (118, 126), (119, 125), )
coordinates_E1B7E7 = ((118, 160),
(118, 162), (118, 163), (118, 164), (118, 165), (118, 166), (118, 167), (118, 169), (119, 159), (119, 171), (120, 158), (120, 161), (120, 162), (120, 163), (120, 164), (120, 165), (120, 166), (120, 167), (120, 168), (120, 169), (120, 173), (121, 158), (121, 160), (121, 161), (121, 162), (121, 163), (121, 164), (121, 165), (121, 166), (121, 167), (121, 168), (121, 169), (121, 170), (121, 171), (121, 173), (122, 158), (122, 160), (122, 161), (122, 162), (122, 163), (122, 164), (122, 165), (122, 166), (122, 167), (122, 168), (122, 169), (122, 170), (122, 172), (123, 158), (123, 160), (123, 161), (123, 162), (123, 163), (123, 164), (123, 165), (123, 166), (123, 167), (123, 168), (123, 169), (123, 170), (123, 172), (124, 158), (124, 160), (124, 161), (124, 162), (124, 163), (124, 164), (124, 165), (124, 166), (124, 167), (124, 168), (124, 169), (124, 170),
(124, 172), (125, 158), (125, 161), (125, 162), (125, 163), (125, 164), (125, 165), (125, 166), (125, 167), (125, 168), (125, 169), (125, 170), (125, 172), (126, 159), (126, 162), (126, 163), (126, 164), (126, 165), (126, 166), (126, 167), (126, 172), (127, 161), (127, 168), (127, 169), (127, 170), (127, 172), (128, 162), (128, 164), (128, 165), (128, 167), )
coordinates_CD5B45 = ((65, 119),
(65, 121), (65, 122), (65, 124), (66, 118), (66, 125), (67, 117), (67, 119), (67, 120), (67, 121), (67, 124), (67, 126), (68, 106), (68, 116), (68, 118), (68, 119), (68, 120), (68, 122), (68, 123), (68, 125), (68, 127), (69, 101), (69, 103), (69, 104), (69, 107), (69, 115), (69, 117), (69, 118), (69, 119), (69, 120), (69, 121), (69, 124), (69, 127), (70, 100), (70, 106), (70, 108), (70, 114), (70, 116), (70, 117), (70, 118), (70, 120), (70, 125), (70, 127), (71, 99), (71, 101), (71, 102), (71, 105), (71, 106), (71, 107), (71, 109), (71, 113), (71, 115), (71, 116), (71, 117), (71, 118), (71, 120), (71, 125), (71, 127), (72, 98), (72, 100), (72, 101), (72, 103), (72, 106), (72, 108), (72, 109), (72, 113), (72, 114), (72, 115), (72, 116), (72, 117), (72, 118), (72, 120), (72, 127),
(73, 95), (73, 96), (73, 99), (73, 100), (73, 102), (73, 106), (73, 108), (73, 109), (73, 111), (73, 112), (73, 113), (73, 114), (73, 115), (73, 116), (73, 117), (73, 118), (73, 120), (73, 127), (74, 92), (74, 94), (74, 98), (74, 99), (74, 101), (74, 106), (74, 109), (74, 113), (74, 115), (74, 116), (74, 119), (74, 126), (75, 91), (75, 100), (75, 105), (75, 107), (75, 109), (75, 113), (75, 115), (75, 116), (75, 117), (75, 126), (76, 90), (76, 92), (76, 95), (76, 96), (76, 97), (76, 99), (76, 103), (76, 106), (76, 107), (76, 108), (76, 109), (76, 110), (76, 112), (76, 113), (76, 114), (76, 116), (76, 125), (76, 126), (77, 87), (77, 89), (77, 94), (77, 102), (77, 105), (77, 106), (77, 107), (77, 108), (77, 109), (77, 113), (77, 114), (77, 116), (77, 125), (78, 86),
(78, 92), (78, 101), (78, 103), (78, 104), (78, 105), (78, 106), (78, 107), (78, 108), (78, 109), (78, 110), (78, 112), (78, 113), (78, 114), (78, 116), (78, 125), (79, 85), (79, 87), (79, 88), (79, 99), (79, 102), (79, 103), (79, 104), (79, 105), (79, 106), (79, 107), (79, 108), (79, 109), (79, 110), (79, 111), (79, 112), (79, 113), (79, 114), (79, 115), (79, 117), (79, 125), (80, 84), (80, 86), (80, 87), (80, 89), (80, 97), (80, 101), (80, 102), (80, 103), (80, 104), (80, 105), (80, 106), (80, 107), (80, 108), (80, 109), (80, 110), (80, 111), (80, 112), (80, 113), (80, 114), (80, 115), (80, 117), (80, 125), (81, 83), (81, 85), (81, 86), (81, 87), (81, 89), (81, 96), (81, 98), (81, 99), (81, 100), (81, 101), (81, 102), (81, 103), (81, 104), (81, 105), (81, 106),
(81, 107), (81, 108), (81, 109), (81, 110), (81, 114), (81, 115), (81, 116), (81, 118), (81, 125), (82, 83), (82, 85), (82, 86), (82, 87), (82, 89), (82, 96), (82, 100), (82, 102), (82, 103), (82, 104), (82, 105), (82, 106), (82, 107), (82, 108), (82, 109), (82, 110), (82, 113), (82, 114), (82, 115), (82, 116), (82, 118), (82, 125), (83, 83), (83, 85), (83, 86), (83, 87), (83, 89), (83, 96), (83, 100), (83, 102), (83, 103), (83, 104), (83, 105), (83, 106), (83, 107), (83, 108), (83, 110), (83, 114), (83, 116), (83, 118), (83, 125), (84, 83), (84, 85), (84, 86), (84, 87), (84, 88), (84, 90), (84, 96), (84, 100), (84, 101), (84, 102), (84, 103), (84, 104), (84, 105), (84, 106), (84, 107), (84, 108), (84, 110), (84, 114), (84, 116), (84, 125), (85, 83), (85, 85),
(85, 86), (85, 87), (85, 88), (85, 90), (85, 96), (85, 100), (85, 101), (85, 105), (85, 106), (85, 107), (85, 108), (85, 110), (85, 114), (85, 117), (85, 125), (86, 84), (86, 86), (86, 87), (86, 88), (86, 89), (86, 91), (86, 96), (86, 99), (86, 100), (86, 104), (86, 107), (86, 109), (86, 116), (87, 84), (87, 86), (87, 87), (87, 88), (87, 89), (87, 91), (87, 97), (87, 99), (87, 101), (87, 105), (87, 109), (87, 115), (88, 83), (88, 85), (88, 86), (88, 87), (88, 88), (88, 89), (88, 91), (88, 97), (88, 100), (88, 108), (89, 83), (89, 85), (89, 86), (89, 87), (89, 88), (89, 90), (89, 97), (89, 100), (90, 83), (90, 85), (90, 86), (90, 87), (90, 89), (90, 98), (90, 99), (91, 83), (91, 85), (91, 86), (91, 88), (92, 84), (92, 86), (92, 88),
(93, 84), (93, 86), (93, 87), (93, 89), (94, 85), (94, 87), (94, 88), (94, 89), (95, 85), (95, 87), (95, 88), (95, 90), (96, 85), (96, 88), (96, 89), (96, 93), (96, 101), (96, 103), (97, 86), (97, 94), (97, 101), (97, 104), (98, 88), (98, 90), (98, 91), (98, 92), (98, 93), (98, 95), (98, 102), (99, 95), (99, 96), (99, 100), (100, 96), (100, 98), (100, 100), (101, 96), (101, 99), (102, 97), (102, 99), (103, 98), )
coordinates_6395ED = ((125, 123),
(125, 124), (126, 122), (126, 125), (127, 122), (127, 124), (127, 126), (128, 122), (128, 124), (128, 126), (129, 122), (129, 124), (129, 126), (130, 123), (130, 126), (131, 123), (131, 126), (132, 123), (132, 126), (133, 123), (133, 126), (134, 124), (134, 126), (135, 124), (135, 126), (136, 124), (136, 126), (137, 124), (137, 125), (138, 124), (138, 125), (139, 125), (140, 125), (141, 124), (141, 125), (142, 124), (143, 124), )
coordinates_00FFFE = ((142, 135),
(142, 137), (142, 138), (142, 139), (142, 141), (143, 134), (143, 141), (144, 135), (144, 136), (144, 137), (144, 138), (144, 139), (144, 141), (145, 133), (145, 135), (145, 136), (145, 137), (145, 138), (145, 139), (145, 140), (145, 142), (146, 132), (146, 134), (146, 135), (146, 136), (146, 137), (146, 138), (146, 142), (147, 132), (147, 134), (147, 135), (147, 136), (147, 137), (147, 139), (147, 140), (147, 141), (147, 143), (148, 131), (148, 138), (148, 142), (148, 143), (149, 130), (149, 132), (149, 133), (149, 134), (149, 135), (149, 137), (149, 142), (149, 144), (150, 142), (150, 144), (151, 141), (151, 144), (152, 141), (152, 144), (153, 140), (153, 142), (153, 143), (153, 144), (153, 145), (154, 140), (154, 142), (154, 144), (155, 140), (155, 142), (155, 144), (156, 139), (156, 141), (156, 142), (156, 144), (157, 139), (157, 141), (157, 142),
(157, 143), (157, 146), (158, 139), (158, 142), (158, 143), (158, 144), (158, 146), (159, 140), (159, 146), (160, 142), (160, 143), (160, 144), (160, 146), (160, 147), (161, 145), (161, 147), (162, 146), (162, 147), (163, 147), (163, 148), (164, 140), (164, 147), (164, 148), (165, 140), (165, 146), (165, 148), (166, 140), (166, 146), (167, 140), (167, 145), (167, 147), (168, 140), (168, 142), (168, 143), (168, 147), (169, 140), (169, 145), (169, 147), (170, 141), (170, 147), (171, 142), (171, 144), (171, 146), )
coordinates_B4E7FA = ((119, 144),
(119, 145), (119, 146), (119, 147), (119, 148), (119, 149), (119, 150), (119, 151), (119, 152), (119, 153), (119, 154), (120, 136), (120, 137), (120, 138), (120, 139), (120, 140), (120, 141), (120, 142), (120, 143), (120, 156), (121, 134), (121, 144), (121, 145), (121, 146), (121, 147), (121, 148), (121, 149), (121, 150), (121, 151), (121, 152), (121, 153), (121, 154), (121, 156), (122, 136), (122, 137), (122, 138), (122, 139), (122, 141), (122, 142), (122, 143), (122, 144), (122, 145), (122, 146), (122, 147), (122, 148), (122, 149), (122, 150), (122, 151), (122, 152), (122, 153), (122, 154), (122, 156), (123, 140), (123, 142), (123, 143), (123, 144), (123, 145), (123, 146), (123, 147), (123, 148), (123, 149), (123, 150), (123, 151), (123, 152), (123, 153), (123, 155), (124, 141), (124, 143), (124, 144), (124, 145), (124, 146), (124, 147), (124, 148),
(124, 149), (124, 150), (124, 151), (124, 152), (124, 153), (124, 154), (124, 156), (125, 141), (125, 143), (125, 144), (125, 145), (125, 146), (125, 147), (125, 148), (125, 149), (125, 150), (125, 151), (125, 152), (125, 153), (125, 154), (125, 156), (126, 141), (126, 143), (126, 144), (126, 145), (126, 146), (126, 147), (126, 148), (126, 149), (126, 150), (126, 151), (126, 152), (126, 153), (126, 154), (126, 156), (127, 139), (127, 140), (127, 155), (128, 141), (128, 142), (128, 143), (128, 144), (128, 145), (128, 146), (128, 147), (128, 148), (128, 149), (128, 150), (128, 151), (128, 152), (128, 153), (128, 155), )
coordinates_F98072 = ((124, 119),
(124, 121), (125, 118), (126, 118), (127, 117), (127, 118), (128, 117), (128, 118), (129, 117), (130, 117), (131, 118), (132, 118), (134, 118), (135, 118), (136, 117), (136, 118), (137, 116), (137, 118), (138, 116), (138, 118), (139, 116), (139, 117), (140, 116), (140, 118), (141, 116), (141, 118), (142, 116), (142, 118), (143, 116), (143, 118), (144, 117), (145, 117), )
coordinates_97FB98 = ((155, 118),
(156, 118), (157, 117), (157, 118), (158, 117), (158, 118), (159, 117), (160, 117), (160, 119), (161, 116), (161, 119), (161, 131), (162, 116), (162, 118), (162, 120), (162, 130), (162, 132), (163, 116), (163, 118), (163, 120), (163, 130), (163, 134), (163, 135), (163, 136), (163, 138), (164, 116), (164, 118), (164, 120), (164, 129), (164, 131), (164, 132), (164, 138), (165, 116), (165, 119), (165, 129), (165, 131), (165, 132), (165, 133), (165, 134), (165, 135), (165, 136), (165, 138), (166, 116), (166, 119), (166, 129), (166, 131), (166, 132), (166, 133), (166, 134), (166, 135), (166, 136), (166, 138), (167, 116), (167, 118), (167, 123), (167, 128), (167, 130), (167, 131), (167, 132), (167, 133), (167, 134), (167, 135), (167, 136), (167, 138), (168, 116), (168, 118), (168, 122), (168, 124), (168, 128), (168, 130), (168, 131), (168, 132), (168, 133),
(168, 134), (168, 135), (168, 136), (168, 138), (169, 116), (169, 118), (169, 119), (169, 120), (169, 124), (169, 128), (169, 130), (169, 131), (169, 132), (169, 133), (169, 134), (169, 135), (169, 136), (169, 138), (170, 116), (170, 118), (170, 122), (170, 124), (170, 128), (170, 130), (170, 131), (170, 132), (170, 133), (170, 134), (170, 135), (170, 136), (170, 138), (171, 116), (171, 118), (171, 119), (171, 120), (171, 121), (171, 122), (171, 124), (171, 128), (171, 130), (171, 131), (171, 132), (171, 133), (171, 134), (171, 135), (171, 136), (171, 138), (172, 116), (172, 118), (172, 119), (172, 120), (172, 121), (172, 122), (172, 124), (172, 129), (172, 131), (172, 132), (172, 133), (172, 134), (172, 135), (172, 136), (172, 138), (173, 116), (173, 120), (173, 121), (173, 122), (173, 123), (173, 125), (173, 129), (173, 133), (173, 134), (173, 135),
(173, 136), (173, 138), (174, 116), (174, 118), (174, 119), (174, 125), (174, 128), (174, 130), (174, 131), (174, 132), (174, 136), (174, 138), (175, 120), (175, 121), (175, 122), (175, 128), (175, 133), (175, 134), (175, 135), (175, 138), (176, 124), (176, 127), (176, 136), )
coordinates_323287 = ((149, 103),
(149, 108), (150, 104), (150, 106), (155, 100), (156, 100), (156, 101), (156, 115), (157, 102), (157, 113), (157, 115), (158, 101), (158, 112), (158, 115), (159, 101), (159, 103), (159, 111), (159, 115), (160, 103), (160, 104), (160, 110), (160, 112), (160, 114), (161, 104), (161, 105), (161, 113), (162, 105), (162, 106), (162, 109), (162, 112), (163, 105), (163, 107), (163, 110), (163, 112), (164, 105), (164, 109), (164, 110), (164, 112), (165, 106), (165, 108), (165, 109), (165, 112), (166, 106), (166, 111), (167, 108), (167, 109), )
coordinates_6495ED = ((102, 124),
(102, 126), (103, 124), (103, 127), (104, 124), (104, 127), (105, 124), (105, 127), (106, 124), (106, 127), (107, 124), (107, 126), (108, 124), (108, 126), (109, 123), (109, 126), (110, 123), (110, 126), (111, 122), (111, 124), (111, 126), (112, 122), (112, 124), (112, 126), (113, 122), (113, 124), (113, 126), (114, 122), (114, 125), (115, 122), (115, 125), (116, 121), (116, 123), (116, 125), (117, 121), (117, 125), (118, 121), (118, 124), (119, 121), (119, 123), (120, 122), )
coordinates_01FFFF = ((79, 148),
(79, 151), (80, 147), (80, 151), (81, 145), (81, 148), (81, 149), (81, 151), (82, 144), (82, 147), (82, 148), (82, 150), (83, 142), (83, 143), (83, 144), (83, 147), (83, 148), (83, 150), (84, 140), (84, 142), (84, 146), (84, 148), (84, 150), (85, 138), (85, 147), (85, 149), (86, 137), (86, 139), (86, 147), (86, 149), (87, 136), (87, 138), (87, 146), (87, 148), (88, 145), (88, 148), (89, 143), (89, 147), (90, 142), (90, 145), (90, 147), (91, 142), (91, 144), (91, 146), (92, 142), (92, 144), (92, 146), (93, 142), (93, 145), (94, 142), (94, 145), (95, 141), (95, 142), (95, 143), (95, 145), (96, 134), (96, 135), (96, 136), (96, 137), (96, 138), (96, 139), (96, 144), (97, 136), (97, 137), (97, 138), (97, 139), (97, 140), (97, 141), (97, 142), )
coordinates_FA8072 = ((100, 116),
(101, 115), (101, 116), (102, 115), (102, 117), (103, 115), (103, 116), (104, 115), (104, 116), (105, 115), (105, 116), (106, 115), (107, 115), (108, 115), (109, 115), (110, 114), (110, 115), (111, 114), (111, 115), (112, 113), (112, 116), (113, 113), (113, 116), (114, 114), (114, 116), (114, 118), (115, 115), (115, 119), (116, 116), (116, 119), (117, 117), (117, 119), (118, 118), (118, 119), )
coordinates_98FB98 = ((68, 132),
(68, 134), (68, 135), (69, 131), (69, 136), (69, 138), (70, 130), (70, 132), (70, 133), (70, 134), (70, 135), (70, 140), (71, 129), (71, 131), (71, 134), (71, 135), (71, 136), (71, 137), (71, 138), (71, 142), (72, 129), (72, 133), (72, 134), (72, 135), (72, 136), (72, 137), (72, 138), (72, 139), (72, 140), (72, 143), (73, 129), (73, 131), (73, 134), (73, 136), (73, 137), (73, 138), (73, 139), (73, 140), (73, 142), (74, 129), (74, 130), (74, 134), (74, 136), (74, 137), (74, 138), (74, 139), (74, 140), (74, 142), (75, 128), (75, 129), (75, 133), (75, 135), (75, 136), (75, 137), (75, 138), (75, 139), (75, 141), (76, 128), (76, 129), (76, 133), (76, 135), (76, 136), (76, 137), (76, 138), (76, 140), (77, 128), (77, 129), (77, 133), (77, 135), (77, 136), (77, 137), (77, 138), (77, 140),
(78, 127), (78, 128), (78, 133), (78, 135), (78, 136), (78, 137), (78, 139), (79, 127), (79, 128), (79, 133), (79, 135), (79, 136), (79, 137), (79, 139), (80, 127), (80, 128), (80, 134), (80, 136), (80, 137), (80, 139), (81, 127), (81, 128), (81, 135), (81, 137), (81, 139), (82, 127), (82, 128), (82, 135), (82, 137), (82, 139), (83, 127), (83, 135), (83, 138), (84, 127), (84, 135), (84, 137), (85, 127), (85, 135), )
coordinates_FEC0CB = ()
| coordinates_e0_e1_e1 = ((126, 108), (127, 80), (127, 81), (127, 100), (127, 108), (127, 120), (128, 78), (128, 79), (128, 81), (128, 89), (128, 99), (128, 100), (128, 108), (128, 109), (128, 120), (129, 75), (129, 81), (129, 87), (129, 89), (129, 98), (129, 101), (129, 108), (129, 109), (129, 120), (130, 75), (130, 77), (130, 78), (130, 79), (130, 81), (130, 86), (130, 89), (130, 99), (130, 101), (130, 107), (130, 109), (130, 120), (130, 129), (131, 75), (131, 77), (131, 78), (131, 79), (131, 80), (131, 81), (131, 82), (131, 83), (131, 84), (131, 87), (131, 89), (131, 95), (131, 98), (131, 99), (131, 100), (131, 102), (131, 106), (131, 110), (131, 120), (131, 121), (131, 129), (132, 75), (132, 77), (132, 78), (132, 79), (132, 80), (132, 81), (132, 86), (132, 87), (132, 89), (132, 94), (132, 97), (132, 104), (132, 106), (132, 109), (132, 112), (132, 120), (132, 121), (132, 128), (132, 129), (133, 75), (133, 77), (133, 78), (133, 79), (133, 80), (133, 81), (133, 82), (133, 83), (133, 84), (133, 85), (133, 86), (133, 87), (133, 88), (133, 89), (133, 93), (133, 95), (133, 96), (133, 99), (133, 100), (133, 101), (133, 102), (133, 104), (133, 110), (133, 111), (133, 120), (133, 121), (133, 128), (134, 74), (134, 75), (134, 77), (134, 78), (134, 79), (134, 80), (134, 81), (134, 82), (134, 83), (134, 84), (134, 85), (134, 86), (134, 87), (134, 88), (134, 89), (134, 91), (134, 94), (134, 95), (134, 97), (134, 120), (134, 121), (134, 128), (135, 74), (135, 76), (135, 77), (135, 78), (135, 79), (135, 80), (135, 81), (135, 82), (135, 83), (135, 84), (135, 90), (135, 92), (135, 93), (135, 94), (135, 96), (135, 120), (135, 121), (135, 128), (136, 73), (136, 75), (136, 76), (136, 81), (136, 82), (136, 85), (136, 86), (136, 87), (136, 88), (136, 90), (136, 91), (136, 92), (136, 93), (136, 94), (136, 96), (136, 120), (136, 121), (136, 128), (136, 130), (136, 131), (136, 133), (137, 73), (137, 75), (137, 78), (137, 79), (137, 80), (137, 84), (137, 90), (137, 92), (137, 93), (137, 95), (137, 120), (137, 121), (137, 128), (138, 73), (138, 76), (138, 81), (138, 82), (138, 90), (138, 92), (138, 93), (138, 95), (138, 120), (138, 121), (138, 128), (139, 73), (139, 75), (139, 91), (139, 93), (139, 95), (139, 120), (139, 121), (139, 127), (140, 73), (140, 74), (140, 91), (140, 93), (140, 94), (140, 96), (140, 105), (140, 120), (140, 121), (140, 127), (140, 130), (141, 90), (141, 91), (141, 92), (141, 93), (141, 94), (141, 96), (141, 104), (141, 107), (141, 120), (141, 121), (141, 127), (141, 129), (142, 90), (142, 92), (142, 93), (142, 94), (142, 95), (142, 97), (142, 105), (142, 108), (142, 121), (142, 127), (142, 128), (143, 89), (143, 93), (143, 94), (143, 95), (143, 96), (143, 99), (143, 100), (143, 101), (143, 104), (143, 105), (143, 106), (143, 107), (143, 109), (143, 120), (143, 122), (143, 126), (143, 128), (144, 88), (144, 91), (144, 92), (144, 93), (144, 97), (144, 102), (144, 103), (144, 104), (144, 105), (144, 106), (144, 107), (144, 108), (144, 110), (144, 120), (144, 122), (144, 123), (144, 126), (144, 128), (145, 87), (145, 89), (145, 90), (145, 93), (145, 94), (145, 95), (145, 96), (145, 100), (145, 101), (145, 102), (145, 103), (145, 104), (145, 105), (145, 106), (145, 107), (145, 108), (145, 109), (145, 111), (145, 119), (145, 121), (145, 122), (145, 124), (145, 127), (146, 82), (146, 83), (146, 84), (146, 85), (146, 88), (146, 98), (146, 99), (146, 100), (146, 101), (146, 102), (146, 103), (146, 104), (146, 105), (146, 106), (146, 107), (146, 108), (146, 109), (146, 110), (146, 112), (146, 118), (146, 120), (146, 121), (146, 122), (146, 123), (146, 127), (147, 79), (147, 80), (147, 86), (147, 100), (147, 102), (147, 103), (147, 104), (147, 105), (147, 106), (147, 107), (147, 108), (147, 109), (147, 110), (147, 111), (147, 114), (147, 115), (147, 116), (147, 117), (147, 119), (147, 120), (147, 121), (147, 122), (147, 123), (147, 124), (147, 125), (147, 127), (148, 81), (148, 82), (148, 83), (148, 100), (148, 102), (148, 103), (148, 104), (148, 105), (148, 106), (148, 107), (148, 108), (148, 109), (148, 110), (148, 111), (148, 112), (148, 113), (148, 118), (148, 119), (148, 120), (148, 121), (148, 122), (148, 123), (148, 124), (148, 125), (148, 127), (149, 99), (149, 101), (149, 102), (149, 103), (149, 104), (149, 105), (149, 106), (149, 107), (149, 108), (149, 109), (149, 110), (149, 111), (149, 112), (149, 113), (149, 114), (149, 115), (149, 116), (149, 117), (149, 118), (149, 119), (149, 120), (149, 121), (149, 122), (149, 123), (149, 124), (149, 125), (149, 126), (149, 128), (149, 140), (150, 97), (150, 100), (150, 101), (150, 102), (150, 103), (150, 104), (150, 105), (150, 106), (150, 107), (150, 108), (150, 109), (150, 110), (150, 111), (150, 112), (150, 113), (150, 114), (150, 115), (150, 116), (150, 117), (150, 118), (150, 119), (150, 120), (150, 121), (150, 122), (150, 123), (150, 124), (150, 125), (150, 126), (150, 127), (150, 129), (150, 139), (151, 94), (151, 95), (151, 96), (151, 99), (151, 100), (151, 101), (151, 102), (151, 103), (151, 104), (151, 105), (151, 106), (151, 107), (151, 108), (151, 109), (151, 110), (151, 111), (151, 112), (151, 113), (151, 114), (151, 115), (151, 116), (151, 117), (151, 118), (151, 119), (151, 120), (151, 121), (151, 122), (151, 123), (151, 124), (151, 125), (151, 126), (151, 127), (151, 128), (151, 130), (151, 131), (151, 134), (151, 135), (151, 136), (151, 137), (151, 139), (152, 92), (152, 97), (152, 98), (152, 101), (152, 102), (152, 103), (152, 104), (152, 105), (152, 106), (152, 107), (152, 108), (152, 109), (152, 110), (152, 111), (152, 112), (152, 113), (152, 114), (152, 115), (152, 116), (152, 120), (152, 121), (152, 122), (152, 123), (152, 124), (152, 125), (152, 126), (152, 127), (152, 128), (152, 129), (152, 132), (152, 133), (152, 134), (152, 139), (153, 90), (153, 93), (153, 94), (153, 95), (153, 96), (153, 97), (153, 98), (153, 99), (153, 100), (153, 102), (153, 103), (153, 104), (153, 105), (153, 106), (153, 107), (153, 108), (153, 109), (153, 110), (153, 111), (153, 112), (153, 113), (153, 117), (153, 118), (153, 120), (153, 121), (153, 122), (153, 123), (153, 124), (153, 125), (153, 126), (153, 127), (153, 128), (153, 129), (153, 130), (153, 131), (153, 134), (153, 135), (153, 136), (153, 138), (154, 89), (154, 93), (154, 101), (154, 103), (154, 104), (154, 105), (154, 106), (154, 107), (154, 108), (154, 109), (154, 110), (154, 111), (154, 112), (154, 116), (154, 120), (154, 122), (154, 123), (154, 124), (154, 125), (154, 126), (154, 127), (154, 128), (154, 129), (154, 130), (154, 131), (154, 132), (154, 133), (154, 134), (154, 135), (154, 136), (154, 138), (155, 88), (155, 92), (155, 102), (155, 104), (155, 105), (155, 106), (155, 107), (155, 108), (155, 109), (155, 110), (155, 111), (155, 113), (155, 121), (155, 123), (155, 124), (155, 125), (155, 126), (155, 127), (155, 128), (155, 129), (155, 130), (155, 131), (155, 132), (155, 133), (155, 134), (155, 135), (155, 137), (156, 83), (156, 85), (156, 86), (156, 87), (156, 90), (156, 92), (156, 103), (156, 105), (156, 106), (156, 107), (156, 108), (156, 109), (156, 112), (156, 121), (156, 123), (156, 124), (156, 125), (156, 126), (156, 127), (156, 128), (156, 129), (156, 130), (156, 131), (156, 132), (156, 133), (156, 134), (156, 135), (156, 137), (157, 88), (157, 90), (157, 91), (157, 93), (157, 104), (157, 106), (157, 107), (157, 108), (157, 111), (157, 121), (157, 123), (157, 124), (157, 125), (157, 126), (157, 127), (157, 128), (157, 129), (157, 130), (157, 131), (157, 132), (157, 133), (157, 134), (157, 135), (157, 137), (158, 88), (158, 94), (158, 105), (158, 107), (158, 110), (158, 121), (158, 123), (158, 124), (158, 125), (158, 126), (158, 127), (158, 128), (158, 129), (158, 130), (158, 133), (158, 134), (158, 135), (158, 137), (159, 89), (159, 91), (159, 92), (159, 93), (159, 95), (159, 106), (159, 109), (159, 121), (159, 123), (159, 124), (159, 125), (159, 126), (159, 127), (159, 128), (159, 129), (159, 131), (159, 134), (159, 135), (159, 137), (160, 96), (160, 106), (160, 108), (160, 121), (160, 123), (160, 124), (160, 125), (160, 126), (160, 127), (160, 128), (160, 133), (160, 138), (161, 97), (161, 107), (161, 122), (161, 124), (161, 125), (161, 126), (161, 127), (161, 129), (161, 134), (161, 136), (161, 137), (161, 138), (161, 140), (162, 97), (162, 122), (162, 124), (162, 125), (162, 126), (162, 128), (162, 141), (162, 143), (163, 97), (163, 122), (163, 124), (163, 125), (163, 127), (163, 142), (163, 145), (164, 97), (164, 122), (164, 125), (164, 127), (164, 142), (164, 144), (165, 97), (165, 121), (165, 123), (165, 127), (165, 142), (165, 144), (166, 121), (166, 125), (166, 126), (166, 142), (166, 143), (167, 120), (167, 126), (168, 98), (168, 126), (169, 126), (170, 126), (171, 126), (173, 127))
coordinates_e1_e1_e1 = ((70, 122), (70, 123), (71, 122), (71, 123), (72, 122), (72, 123), (73, 122), (73, 123), (74, 122), (74, 123), (75, 121), (75, 123), (75, 131), (76, 120), (76, 123), (76, 131), (77, 118), (77, 121), (77, 123), (77, 131), (78, 96), (78, 98), (78, 119), (78, 121), (78, 123), (78, 131), (79, 94), (79, 95), (79, 119), (79, 121), (79, 123), (79, 131), (80, 92), (80, 94), (80, 120), (80, 123), (80, 130), (80, 132), (81, 91), (81, 94), (81, 120), (81, 122), (81, 130), (81, 132), (82, 91), (82, 94), (82, 120), (82, 122), (82, 130), (82, 133), (83, 92), (83, 94), (83, 120), (83, 122), (83, 130), (83, 133), (84, 92), (84, 94), (84, 112), (84, 120), (84, 122), (84, 130), (84, 133), (85, 94), (85, 112), (85, 119), (85, 122), (85, 129), (85, 131), (85, 133), (85, 144), (86, 93), (86, 94), (86, 112), (86, 119), (86, 122), (86, 129), (86, 131), (86, 133), (86, 142), (86, 145), (87, 94), (87, 111), (87, 113), (87, 120), (87, 121), (87, 123), (87, 128), (87, 130), (87, 131), (87, 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coordinates_771286 = ((147, 125), (148, 125), (149, 125))
coordinates_781286 = ((97, 126), (98, 126))
coordinates_31_cd32 = ((171, 140), (172, 140), (173, 140), (173, 142), (174, 140), (174, 141), (175, 140))
coordinates_32_cd32 = ((73, 145), (73, 147), (73, 149), (74, 144), (74, 147), (74, 150), (75, 143), (75, 145), (75, 146), (75, 147), (75, 148), (75, 150), (76, 142), (76, 144), (76, 145), (76, 146), (76, 149), (77, 142), (77, 144), (77, 145), (77, 148), (77, 149), (78, 142), (78, 144), (78, 146), (79, 142), (79, 145), (80, 141), (80, 144), (81, 141), (82, 141))
coordinates_dcf8_a4 = ((91, 165), (92, 157), (92, 165), (93, 157), (93, 165), (94, 157), (94, 164), (94, 165), (95, 158), (95, 164), (95, 165), (96, 158), (96, 164), (96, 165), (97, 158), (97, 159), (97, 164), (98, 158), (98, 159), (98, 163), (98, 164), (99, 159), (99, 161), (99, 164), (100, 159), (100, 164), (101, 159), (101, 161), (101, 163), (102, 159), (102, 161), (102, 163), (103, 159), (103, 161), (103, 163), (104, 159), (104, 161), (104, 163), (105, 158), (105, 160), (105, 161), (105, 163), (106, 158), (106, 160), (106, 161), (106, 163), (107, 158), (107, 160), (107, 161), (107, 163), (108, 158), (108, 160), (108, 161), (108, 162), (108, 164), (109, 157), (109, 159), (109, 160), (109, 161), (109, 162), (109, 164), (110, 157), (110, 158), (110, 159), (110, 160), (110, 161), (110, 162), (110, 164), (110, 166), (111, 156), (111, 158), (111, 159), (111, 160), (111, 163), (111, 167), (112, 155), (112, 157), (112, 158), (112, 159), (112, 162), (113, 154), (113, 156), (113, 157), (113, 158), (113, 159), (113, 161), (114, 147), (114, 148), (114, 153), (114, 155), (114, 156), (114, 157), (114, 160), (115, 147), (115, 148), (115, 155), (115, 156), (115, 159), (116, 149), (116, 152), (116, 156), (116, 158), (117, 145), (117, 147), (117, 148), (117, 149), (117, 150), (117, 151), (117, 152), (117, 153), (117, 154), (117, 155))
coordinates_dbf8_a4 = ((130, 149), (130, 152), (130, 154), (131, 148), (131, 149), (131, 153), (131, 155), (132, 148), (132, 153), (132, 157), (133, 148), (133, 154), (133, 159), (133, 160), (133, 161), (134, 147), (134, 155), (134, 157), (134, 158), (134, 162), (134, 163), (134, 165), (135, 147), (135, 155), (135, 157), (135, 158), (135, 159), (135, 160), (135, 161), (135, 162), (135, 166), (136, 147), (136, 156), (136, 158), (136, 159), (136, 160), (136, 161), (136, 162), (136, 163), (136, 164), (136, 166), (137, 157), (137, 159), (137, 160), (137, 161), (137, 162), (137, 163), (137, 164), (137, 166), (138, 157), (138, 159), (138, 160), (138, 161), (138, 162), (138, 163), (138, 164), (138, 167), (139, 158), (139, 160), (139, 161), (139, 162), (139, 163), (139, 167), (140, 158), (140, 160), (140, 161), (140, 162), (140, 164), (140, 169), (141, 158), (141, 160), (141, 161), (141, 163), (141, 170), (142, 158), (142, 160), (142, 161), (142, 163), (143, 158), (143, 160), (143, 161), (143, 163), (144, 158), (144, 160), (144, 161), (144, 162), (144, 164), (145, 158), (145, 160), (145, 161), (145, 162), (145, 164), (146, 158), (146, 160), (146, 161), (146, 162), (146, 164), (147, 158), (147, 164), (148, 158), (148, 161), (148, 164), (149, 158), (149, 159), (149, 163), (149, 164), (150, 158), (150, 164), (150, 165), (151, 157), (151, 158), (151, 164), (151, 165), (152, 157), (152, 164), (152, 166), (153, 157), (153, 166), (154, 157), (154, 165), (155, 156), (155, 157), (156, 156), (157, 156), (157, 165), (158, 156), (159, 156), (160, 156))
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(113, 138), (113, 139), (113, 140), (113, 141), (113, 142), (113, 145), (113, 146), (113, 149), (113, 152), (113, 163), (113, 167), (113, 168), (113, 169), (113, 170), (113, 171), (113, 172), (113, 173), (113, 174), (113, 176), (114, 135), (114, 137), (114, 138), (114, 139), (114, 141), (114, 144), (114, 145), (114, 150), (114, 151), (114, 162), (114, 165), (114, 169), (114, 170), (114, 171), (114, 172), (114, 173), (114, 174), (114, 176), (115, 135), (115, 137), (115, 138), (115, 139), (115, 141), (115, 145), (115, 161), (115, 171), (115, 172), (115, 173), (115, 174), (115, 176), (116, 135), (116, 137), (116, 138), (116, 139), (116, 141), (116, 160), (116, 162), (116, 163), (116, 164), (116, 165), (116, 166), (116, 167), (116, 168), (116, 169), (116, 173), (116, 175), (117, 134), (117, 142), (117, 159), (117, 171), (117, 175), (118, 134), (118, 136), (118, 137), (118, 138), (118, 139), (118, 140), (118, 141), (118, 142), (118, 143), (118, 157), (118, 158), (118, 174), (119, 133))
coordinates_5_fcc60 = ((127, 158), (128, 157), (128, 159), (128, 174), (129, 137), (129, 157), (129, 160), (129, 169), (129, 170), (130, 137), (130, 139), (130, 140), (130, 141), (130, 142), (130, 143), (130, 144), (130, 146), (130, 157), (130, 162), (130, 163), (130, 164), (130, 165), (130, 166), (130, 167), (130, 168), (130, 171), (130, 175), (131, 138), (131, 146), (131, 159), (131, 160), (131, 161), (131, 162), (131, 169), (131, 170), (131, 173), (131, 175), (132, 138), (132, 140), (132, 141), (132, 142), (132, 143), (132, 144), (132, 146), (132, 151), (132, 164), (132, 165), (132, 168), (132, 169), (132, 170), (132, 171), (132, 172), (132, 173), (132, 175), (133, 139), (133, 141), (133, 142), (133, 143), (133, 145), (133, 150), (133, 152), (133, 167), (133, 169), (133, 170), (133, 171), (133, 172), (133, 173), (133, 174), (133, 176), (134, 140), (134, 142), (134, 143), (134, 145), (134, 150), (134, 152), (134, 168), (134, 170), (134, 171), (134, 172), (134, 173), (134, 174), (134, 176), (135, 140), (135, 142), (135, 143), (135, 145), (135, 149), (135, 151), (135, 153), (135, 168), (135, 170), (135, 171), (135, 172), (135, 173), (135, 174), (135, 175), (135, 176), (135, 177), (136, 141), (136, 143), (136, 145), (136, 149), (136, 151), (136, 152), (136, 154), (136, 168), (136, 170), (136, 171), (136, 172), (136, 173), (136, 174), (136, 175), (136, 176), (136, 177), (137, 141), (137, 143), (137, 145), (137, 149), (137, 151), (137, 152), (137, 154), (137, 169), (137, 171), (137, 172), (137, 173), (137, 174), (137, 175), (137, 176), (137, 177), (138, 142), (138, 145), (138, 148), (138, 150), (138, 151), (138, 152), (138, 153), (138, 155), (138, 169), (138, 172), (138, 173), (138, 174), (138, 175), (138, 177), (139, 142), (139, 145), (139, 148), (139, 150), (139, 151), (139, 152), (139, 153), (139, 155), (139, 170), (139, 172), (139, 173), (139, 174), (139, 175), (139, 177), (140, 143), (140, 145), (140, 147), (140, 148), (140, 149), (140, 150), (140, 151), (140, 152), (140, 153), (140, 154), (140, 156), (140, 172), (140, 174), (140, 175), (140, 177), (141, 143), (141, 145), (141, 148), (141, 149), (141, 150), (141, 151), (141, 152), (141, 153), (141, 154), (141, 156), (141, 166), (141, 172), (141, 174), (141, 175), (141, 177), (142, 143), (142, 145), (142, 146), (142, 147), (142, 148), (142, 149), (142, 150), (142, 151), (142, 152), (142, 153), (142, 154), (142, 156), (142, 165), (142, 169), (142, 172), (142, 174), (142, 175), (142, 176), (142, 177), (142, 178), (143, 143), (143, 145), (143, 146), (143, 147), (143, 148), (143, 149), (143, 150), (143, 151), (143, 152), (143, 153), (143, 154), (143, 156), (143, 165), (143, 167), (143, 170), (143, 171), (143, 172), (143, 173), (143, 174), (143, 175), (143, 176), (143, 177), (143, 178), (144, 144), (144, 146), (144, 147), (144, 148), (144, 149), (144, 150), (144, 151), (144, 152), (144, 153), (144, 154), (144, 156), (144, 166), (144, 168), (144, 169), (144, 172), (144, 173), (144, 174), (144, 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176), (152, 178), (153, 147), (153, 149), (153, 150), (153, 151), (153, 152), (153, 153), (153, 155), (153, 159), (153, 162), (153, 169), (153, 171), (153, 172), (153, 173), (153, 174), (153, 175), (153, 176), (153, 178), (154, 148), (154, 150), (154, 151), (154, 152), (154, 154), (154, 159), (154, 162), (154, 169), (154, 171), (154, 172), (154, 173), (154, 174), (154, 175), (154, 176), (154, 178), (155, 148), (155, 150), (155, 151), (155, 152), (155, 154), (155, 159), (155, 161), (155, 163), (155, 168), (155, 169), (155, 170), (155, 171), (155, 172), (155, 173), (155, 174), (155, 175), (155, 176), (155, 177), (156, 148), (156, 150), (156, 151), (156, 152), (156, 154), (156, 159), (156, 161), (156, 163), (156, 167), (156, 169), (156, 170), (156, 171), (156, 172), (156, 173), (156, 174), (156, 175), (156, 177), (157, 148), (157, 150), (157, 151), (157, 153), (157, 159), (157, 161), (157, 163), (157, 167), (157, 169), (157, 170), (157, 171), (157, 172), (157, 173), (157, 174), (157, 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170), (162, 171), (162, 173), (163, 150), (163, 152), (163, 153), (163, 155), (163, 158), (163, 160), (163, 161), (163, 162), (163, 163), (163, 164), (163, 165), (163, 166), (163, 167), (163, 168), (163, 169), (163, 170), (163, 172), (164, 150), (164, 152), (164, 153), (164, 154), (164, 155), (164, 156), (164, 158), (164, 159), (164, 160), (164, 161), (164, 162), (164, 163), (164, 164), (164, 165), (164, 166), (164, 167), (164, 168), (164, 169), (164, 171), (165, 151), (165, 153), (165, 154), (165, 155), (165, 158), (165, 159), (165, 160), (165, 161), (165, 162), (165, 163), (165, 164), (165, 165), (165, 166), (165, 167), (165, 168), (165, 170), (166, 151), (166, 153), (166, 154), (166, 155), (166, 156), (166, 157), (166, 158), (166, 159), (166, 160), (166, 161), (166, 162), (166, 163), (166, 164), (166, 165), (166, 166), (166, 167), (166, 169), (167, 151), (167, 153), (167, 154), (167, 155), (167, 156), (167, 157), (167, 158), (167, 159), (167, 160), (167, 161), (167, 162), (167, 163), (167, 164), (167, 165), (167, 166), (167, 168), (168, 151), (168, 153), (168, 154), (168, 155), (168, 156), (168, 157), (168, 158), (168, 159), (168, 160), (168, 161), (168, 162), (168, 163), (168, 167), (169, 152), (169, 154), (169, 155), (169, 156), (169, 157), (169, 158), (169, 159), (169, 160), (169, 161), (169, 162), (169, 166), (170, 153), (170, 155), (170, 156), (170, 157), (170, 158), (170, 159), (170, 160), (170, 161), (170, 163), (171, 153), (171, 155), (171, 156), (171, 157), (171, 162), (172, 153), (172, 158), (172, 159), (172, 160), (173, 154), (173, 156))
coordinates_f4_deb3 = ((128, 72), (129, 71), (129, 73), (130, 71), (130, 73), (131, 70), (131, 73), (132, 70), (132, 73), (133, 70), (133, 71), (133, 73), (134, 69), (134, 72), (135, 69), (135, 71), (136, 69), (136, 71), (137, 68), (137, 70), (138, 68), (138, 70), (138, 86), (138, 88), (139, 69), (139, 71), (139, 78), (139, 79), (139, 84), (139, 89), (140, 69), (140, 71), (140, 77), (140, 79), (140, 80), (140, 81), (140, 82), (140, 83), (140, 86), (140, 87), (140, 89), (141, 69), (141, 71), (141, 76), (141, 77), (141, 81), (141, 84), (141, 85), (141, 86), (141, 88), (142, 70), (142, 72), (142, 75), (142, 76), (142, 81), (142, 83), (142, 84), (142, 85), (142, 87), (143, 70), (143, 73), (143, 76), (143, 81), (143, 86), (144, 71), (144, 75), (144, 80), (144, 82), (144, 83), (144, 85), (145, 72), (145, 75), (145, 79), (145, 80), (146, 76), (146, 78), (147, 76), (147, 77), (147, 90), (147, 91), (147, 92), (147, 93), (147, 94), (147, 96), (148, 75), (148, 77), (148, 88), (148, 91), (148, 92), (149, 75), (149, 86), (149, 89), (149, 90), (150, 74), (150, 76), (150, 77), (150, 78), (150, 79), (150, 80), (150, 81), (150, 82), (150, 83), (150, 84), (150, 87), (150, 88), (151, 75), (151, 83), (151, 84), (151, 85), (151, 86))
coordinates_26408_b = ((122, 112), (122, 114), (123, 80), (123, 83), (123, 87), (123, 89), (123, 90), (123, 91), (123, 92), (123, 93), (123, 96), (123, 97), (123, 98), (123, 99), (123, 100), (123, 101), (123, 102), (123, 103), (123, 104), (123, 105), (123, 106), (123, 107), (123, 108), (123, 109), (123, 110), (123, 116), (124, 79), (124, 85), (124, 86), (124, 108), (124, 109), (124, 111), (124, 112), (124, 113), (124, 114), (124, 116), (125, 76), (125, 77), (125, 78), (125, 79), (125, 80), (125, 81), (125, 83), (125, 87), (125, 90), (125, 91), (125, 92), (125, 93), (125, 95), (125, 96), (125, 97), (125, 100), (125, 102), (125, 103), (125, 104), (125, 105), (125, 107), (125, 110), (125, 112), (125, 113), (125, 114), (125, 116), (126, 73), (126, 77), (126, 78), (126, 82), (126, 83), (126, 84), (126, 85), (126, 88), (126, 91), (126, 93), (126, 94), (126, 95), (126, 96), (126, 98), (126, 102), (126, 103), (126, 104), (126, 106), (126, 111), (126, 113), (126, 114), (126, 115), (127, 74), (127, 76), (127, 83), (127, 87), (127, 91), (127, 93), (127, 94), (127, 95), (127, 97), (127, 102), (127, 104), (127, 106), (127, 111), (127, 113), (127, 115), (128, 83), (128, 85), (128, 91), (128, 93), (128, 94), (128, 96), (128, 102), (128, 106), (128, 111), (128, 114), (129, 83), (129, 84), (129, 91), (129, 95), (129, 103), (129, 105), (129, 111), (129, 114), (130, 91), (130, 94), (130, 104), (130, 112), (130, 115), (131, 91), (131, 113), (131, 115), (132, 114), (132, 116), (133, 114), (133, 116), (134, 106), (134, 109), (134, 113), (134, 116), (135, 99), (135, 101), (135, 102), (135, 103), (135, 104), (135, 110), (135, 111), (135, 115), (136, 98), (136, 106), (136, 107), (136, 108), (136, 109), (136, 113), (136, 115), (137, 98), (137, 100), (137, 101), (137, 102), (137, 103), (137, 107), (137, 108), (137, 109), (137, 110), (137, 111), (137, 112), (137, 114), (138, 97), (138, 99), (138, 100), (138, 101), (138, 102), (138, 105), (138, 106), (138, 109), (138, 110), (138, 111), (138, 113), (139, 98), (139, 99), (139, 100), (139, 101), (139, 103), (139, 107), (139, 110), (139, 111), (139, 112), (139, 113), (139, 114), (140, 98), (140, 102), (140, 108), (140, 111), (140, 112), (140, 114), (141, 99), (141, 101), (141, 109), (141, 112), (141, 114), (142, 110), (142, 114), (143, 111), (143, 114), (144, 112), (144, 114))
coordinates_f5_deb3 = ((92, 78), (92, 79), (93, 77), (93, 79), (94, 76), (94, 78), (94, 80), (95, 75), (95, 77), (95, 78), (95, 80), (96, 75), (96, 77), (96, 78), (96, 79), (96, 81), (97, 74), (97, 76), (97, 77), (97, 78), (97, 79), (97, 80), (97, 83), (98, 74), (98, 76), (98, 77), (98, 78), (98, 79), (98, 80), (98, 85), (98, 106), (99, 73), (99, 75), (99, 81), (99, 82), (99, 86), (99, 103), (99, 105), (100, 73), (100, 75), (100, 76), (100, 77), (100, 78), (100, 80), (100, 85), (100, 88), (100, 89), (100, 90), (100, 91), (100, 93), (100, 102), (100, 104), (101, 72), (101, 74), (101, 86), (101, 89), (101, 90), (101, 94), (101, 103), (102, 72), (102, 74), (102, 87), (102, 88), (102, 92), (102, 94), (102, 101), (102, 102), (103, 73), (103, 74), (103, 93), (103, 95), (103, 101), (104, 74), (104, 76), (104, 94), (104, 96), (104, 100), (105, 74), (105, 77), (105, 78), (105, 79), (105, 80), (105, 81), (105, 95), (105, 98), (106, 74), (106, 76), (106, 82), (106, 84), (107, 71), (107, 73), (107, 84), (108, 70), (108, 74), (108, 75), (108, 76), (108, 77), (108, 78), (108, 79), (108, 80), (108, 81), (108, 83), (109, 70), (109, 73), (110, 70), (110, 72), (111, 69), (111, 72), (112, 69), (112, 71), (113, 69), (113, 70), (114, 69))
coordinates_016400 = ((125, 127), (125, 128), (126, 127), (126, 129), (127, 129), (128, 130), (128, 131), (129, 130), (129, 132), (130, 131), (130, 134), (130, 135), (131, 131), (131, 135), (132, 131), (132, 133), (132, 134), (132, 136), (133, 130), (133, 135), (133, 137), (134, 130), (134, 132), (134, 133), (134, 134), (134, 135), (134, 137), (135, 136), (135, 138), (136, 136), (136, 138), (137, 135), (137, 137), (137, 139), (138, 134), (138, 139), (139, 133), (139, 136), (139, 137), (139, 140), (140, 132), (140, 134), (140, 138), (140, 140), (141, 131), (141, 133), (142, 131), (142, 132), (143, 130), (143, 132), (144, 130), (144, 131), (145, 131), (146, 129), (146, 130), (147, 129), (148, 129))
coordinates_cc5_b45 = ((149, 94), (149, 96), (150, 92), (151, 89), (151, 90), (152, 76), (152, 78), (152, 79), (152, 80), (152, 87), (152, 89), (153, 82), (153, 83), (153, 84), (153, 85), (153, 86), (153, 88), (154, 77), (154, 79), (154, 80), (154, 81), (155, 78), (155, 81), (155, 94), (155, 95), (155, 97), (156, 78), (156, 81), (156, 95), (156, 98), (157, 79), (157, 81), (157, 82), (157, 96), (157, 98), (158, 80), (158, 83), (158, 84), (158, 86), (158, 96), (158, 99), (159, 81), (159, 86), (159, 97), (159, 99), (160, 82), (160, 84), (160, 85), (160, 87), (160, 98), (160, 99), (161, 83), (161, 85), (161, 86), (161, 87), (161, 89), (161, 90), (161, 91), (161, 92), (161, 94), (161, 99), (162, 86), (162, 87), (162, 92), (162, 95), (162, 99), (162, 100), (163, 85), (163, 90), (163, 94), (163, 95), (163, 99), (163, 100), (164, 86), (164, 89), (164, 94), (164, 95), (164, 99), (164, 100), (165, 94), (165, 95), (165, 99), (165, 100), (165, 114), (166, 94), (166, 95), (166, 99), (166, 101), (166, 114), (167, 93), (167, 96), (167, 100), (167, 101), (167, 113), (168, 93), (168, 96), (168, 100), (168, 101), (168, 106), (168, 113), (169, 94), (169, 96), (169, 100), (169, 103), (169, 104), (169, 107), (169, 109), (169, 113), (170, 95), (170, 98), (170, 99), (170, 100), (170, 101), (170, 106), (170, 109), (170, 112), (170, 113), (171, 96), (171, 100), (171, 101), (171, 102), (171, 103), (171, 104), (171, 105), (171, 106), (171, 107), (171, 108), (171, 109), (171, 110), (171, 113), (172, 97), (172, 99), (172, 100), (172, 101), (172, 102), (172, 103), (172, 104), (172, 105), (172, 106), (172, 107), (172, 108), (172, 109), (172, 112), (172, 113), (172, 114), (173, 98), (173, 103), (173, 104), (173, 107), (173, 108), (173, 109), (173, 110), (173, 111), (173, 112), (173, 114), (174, 99), (174, 101), (174, 102), (174, 105), (174, 108), (174, 109), (174, 110), (174, 111), (174, 112), (174, 114), (175, 104), (175, 107), (175, 110), (175, 111), (175, 112), (175, 113), (175, 115), (176, 108), (176, 115), (177, 110), (177, 111), (177, 112), (177, 114))
coordinates_27408_b = ((100, 114), (101, 111), (101, 113), (102, 110), (102, 113), (103, 109), (103, 113), (104, 109), (104, 111), (104, 113), (105, 108), (105, 110), (105, 111), (105, 113), (106, 111), (106, 113), (107, 111), (107, 113), (108, 111), (108, 113), (109, 110), (109, 112), (110, 109), (110, 112), (111, 108), (111, 111), (112, 73), (112, 75), (112, 87), (112, 88), (112, 108), (112, 111), (113, 72), (113, 76), (113, 86), (113, 90), (113, 108), (113, 111), (114, 71), (114, 73), (114, 74), (114, 77), (114, 86), (114, 88), (114, 90), (114, 108), (114, 110), (114, 112), (115, 70), (115, 71), (115, 75), (115, 78), (115, 85), (115, 87), (115, 88), (115, 89), (115, 90), (115, 96), (115, 102), (115, 103), (115, 109), (115, 112), (116, 69), (116, 76), (116, 79), (116, 85), (116, 87), (116, 88), (116, 89), (116, 91), (116, 95), (116, 96), (116, 103), (116, 109), (116, 111), (116, 113), (117, 77), (117, 80), (117, 84), (117, 86), (117, 87), (117, 88), (117, 89), (117, 91), (117, 94), (117, 96), (117, 101), (117, 104), (117, 109), (117, 111), (117, 112), (117, 114), (118, 77), (118, 79), (118, 82), (118, 87), (118, 88), (118, 89), (118, 90), (118, 91), (118, 97), (118, 101), (118, 104), (118, 109), (118, 111), (118, 112), (118, 113), (118, 115), (119, 78), (119, 80), (119, 85), (119, 86), (119, 97), (119, 100), (119, 105), (119, 108), (119, 113), (119, 114), (120, 79), (120, 83), (120, 87), (120, 89), (120, 90), (120, 91), (120, 92), (120, 93), (120, 96), (120, 97), (120, 98), (120, 99), (120, 100), (120, 101), (120, 102), (120, 103), (120, 104), (120, 105), (120, 106), (120, 107), (120, 108), (120, 109), (120, 110), (120, 111), (120, 112), (120, 117), (121, 79), (121, 83), (121, 96))
coordinates_006400 = ((98, 131), (98, 133), (99, 131), (99, 135), (99, 136), (99, 137), (99, 138), (99, 139), (99, 140), (99, 142), (100, 132), (100, 134), (100, 142), (101, 132), (101, 134), (101, 135), (101, 136), (101, 137), (101, 138), (101, 139), (101, 141), (102, 132), (102, 134), (102, 135), (102, 136), (102, 137), (102, 138), (102, 139), (102, 141), (103, 132), (103, 134), (103, 135), (103, 136), (103, 137), (103, 138), (103, 139), (103, 141), (104, 133), (104, 135), (104, 136), (104, 137), (104, 138), (104, 140), (105, 134), (105, 136), (105, 137), (105, 138), (105, 140), (106, 135), (106, 137), (106, 139), (107, 136), (108, 136), (108, 138), (109, 136), (109, 137), (110, 131), (110, 135), (110, 136), (111, 130), (111, 133), (112, 130), (113, 130), (113, 133), (113, 134), (114, 130), (114, 131), (115, 130), (116, 129), (117, 128), (118, 126), (119, 125))
coordinates_e1_b7_e7 = ((118, 160), (118, 162), (118, 163), (118, 164), (118, 165), (118, 166), (118, 167), (118, 169), (119, 159), (119, 171), (120, 158), (120, 161), (120, 162), (120, 163), (120, 164), (120, 165), (120, 166), (120, 167), (120, 168), (120, 169), (120, 173), (121, 158), (121, 160), (121, 161), (121, 162), (121, 163), (121, 164), (121, 165), (121, 166), (121, 167), (121, 168), (121, 169), (121, 170), (121, 171), (121, 173), (122, 158), (122, 160), (122, 161), (122, 162), (122, 163), (122, 164), (122, 165), (122, 166), (122, 167), (122, 168), (122, 169), (122, 170), (122, 172), (123, 158), (123, 160), (123, 161), (123, 162), (123, 163), (123, 164), (123, 165), (123, 166), (123, 167), (123, 168), (123, 169), (123, 170), (123, 172), (124, 158), (124, 160), (124, 161), (124, 162), (124, 163), (124, 164), (124, 165), (124, 166), (124, 167), (124, 168), (124, 169), (124, 170), (124, 172), (125, 158), (125, 161), (125, 162), (125, 163), (125, 164), (125, 165), (125, 166), (125, 167), (125, 168), (125, 169), (125, 170), (125, 172), (126, 159), (126, 162), (126, 163), (126, 164), (126, 165), (126, 166), (126, 167), (126, 172), (127, 161), (127, 168), (127, 169), (127, 170), (127, 172), (128, 162), (128, 164), (128, 165), (128, 167))
coordinates_cd5_b45 = ((65, 119), (65, 121), (65, 122), (65, 124), (66, 118), (66, 125), (67, 117), (67, 119), (67, 120), (67, 121), (67, 124), (67, 126), (68, 106), (68, 116), (68, 118), (68, 119), (68, 120), (68, 122), (68, 123), (68, 125), (68, 127), (69, 101), (69, 103), (69, 104), (69, 107), (69, 115), (69, 117), (69, 118), (69, 119), (69, 120), (69, 121), (69, 124), (69, 127), (70, 100), (70, 106), (70, 108), (70, 114), (70, 116), (70, 117), (70, 118), (70, 120), (70, 125), (70, 127), (71, 99), (71, 101), (71, 102), (71, 105), (71, 106), (71, 107), (71, 109), (71, 113), (71, 115), (71, 116), (71, 117), (71, 118), (71, 120), (71, 125), (71, 127), (72, 98), (72, 100), (72, 101), (72, 103), (72, 106), (72, 108), (72, 109), (72, 113), (72, 114), (72, 115), (72, 116), (72, 117), (72, 118), (72, 120), (72, 127), (73, 95), (73, 96), (73, 99), (73, 100), (73, 102), (73, 106), (73, 108), (73, 109), (73, 111), (73, 112), (73, 113), (73, 114), (73, 115), (73, 116), (73, 117), (73, 118), (73, 120), (73, 127), (74, 92), (74, 94), (74, 98), (74, 99), (74, 101), (74, 106), (74, 109), (74, 113), (74, 115), (74, 116), (74, 119), (74, 126), (75, 91), (75, 100), (75, 105), (75, 107), (75, 109), (75, 113), (75, 115), (75, 116), (75, 117), (75, 126), (76, 90), (76, 92), (76, 95), (76, 96), (76, 97), (76, 99), (76, 103), (76, 106), (76, 107), (76, 108), (76, 109), (76, 110), (76, 112), (76, 113), (76, 114), (76, 116), (76, 125), (76, 126), (77, 87), (77, 89), (77, 94), (77, 102), (77, 105), (77, 106), (77, 107), (77, 108), (77, 109), (77, 113), (77, 114), (77, 116), (77, 125), (78, 86), (78, 92), (78, 101), (78, 103), (78, 104), (78, 105), (78, 106), (78, 107), (78, 108), (78, 109), (78, 110), (78, 112), (78, 113), (78, 114), (78, 116), (78, 125), (79, 85), (79, 87), (79, 88), (79, 99), (79, 102), (79, 103), (79, 104), (79, 105), (79, 106), (79, 107), (79, 108), (79, 109), (79, 110), (79, 111), (79, 112), (79, 113), (79, 114), (79, 115), (79, 117), (79, 125), (80, 84), (80, 86), (80, 87), (80, 89), (80, 97), (80, 101), (80, 102), (80, 103), (80, 104), (80, 105), (80, 106), (80, 107), (80, 108), (80, 109), (80, 110), (80, 111), (80, 112), (80, 113), (80, 114), (80, 115), (80, 117), (80, 125), (81, 83), (81, 85), (81, 86), (81, 87), (81, 89), (81, 96), (81, 98), (81, 99), (81, 100), (81, 101), (81, 102), (81, 103), (81, 104), (81, 105), (81, 106), (81, 107), (81, 108), (81, 109), (81, 110), (81, 114), (81, 115), (81, 116), (81, 118), (81, 125), (82, 83), (82, 85), (82, 86), (82, 87), (82, 89), (82, 96), (82, 100), (82, 102), (82, 103), (82, 104), (82, 105), (82, 106), (82, 107), (82, 108), (82, 109), (82, 110), (82, 113), (82, 114), (82, 115), (82, 116), (82, 118), (82, 125), (83, 83), (83, 85), (83, 86), (83, 87), (83, 89), (83, 96), (83, 100), (83, 102), (83, 103), (83, 104), (83, 105), (83, 106), (83, 107), (83, 108), (83, 110), (83, 114), (83, 116), (83, 118), (83, 125), (84, 83), (84, 85), (84, 86), (84, 87), (84, 88), (84, 90), (84, 96), (84, 100), (84, 101), (84, 102), (84, 103), (84, 104), (84, 105), (84, 106), (84, 107), (84, 108), (84, 110), (84, 114), (84, 116), (84, 125), (85, 83), (85, 85), (85, 86), (85, 87), (85, 88), (85, 90), (85, 96), (85, 100), (85, 101), (85, 105), (85, 106), (85, 107), (85, 108), (85, 110), (85, 114), (85, 117), (85, 125), (86, 84), (86, 86), (86, 87), (86, 88), (86, 89), (86, 91), (86, 96), (86, 99), (86, 100), (86, 104), (86, 107), (86, 109), (86, 116), (87, 84), (87, 86), (87, 87), (87, 88), (87, 89), (87, 91), (87, 97), (87, 99), (87, 101), (87, 105), (87, 109), (87, 115), (88, 83), (88, 85), (88, 86), (88, 87), (88, 88), (88, 89), (88, 91), (88, 97), (88, 100), (88, 108), (89, 83), (89, 85), (89, 86), (89, 87), (89, 88), (89, 90), (89, 97), (89, 100), (90, 83), (90, 85), (90, 86), (90, 87), (90, 89), (90, 98), (90, 99), (91, 83), (91, 85), (91, 86), (91, 88), (92, 84), (92, 86), (92, 88), (93, 84), (93, 86), (93, 87), (93, 89), (94, 85), (94, 87), (94, 88), (94, 89), (95, 85), (95, 87), (95, 88), (95, 90), (96, 85), (96, 88), (96, 89), (96, 93), (96, 101), (96, 103), (97, 86), (97, 94), (97, 101), (97, 104), (98, 88), (98, 90), (98, 91), (98, 92), (98, 93), (98, 95), (98, 102), (99, 95), (99, 96), (99, 100), (100, 96), (100, 98), (100, 100), (101, 96), (101, 99), (102, 97), (102, 99), (103, 98))
coordinates_6395_ed = ((125, 123), (125, 124), (126, 122), (126, 125), (127, 122), (127, 124), (127, 126), (128, 122), (128, 124), (128, 126), (129, 122), (129, 124), (129, 126), (130, 123), (130, 126), (131, 123), (131, 126), (132, 123), (132, 126), (133, 123), (133, 126), (134, 124), (134, 126), (135, 124), (135, 126), (136, 124), (136, 126), (137, 124), (137, 125), (138, 124), (138, 125), (139, 125), (140, 125), (141, 124), (141, 125), (142, 124), (143, 124))
coordinates_00_fffe = ((142, 135), (142, 137), (142, 138), (142, 139), (142, 141), (143, 134), (143, 141), (144, 135), (144, 136), (144, 137), (144, 138), (144, 139), (144, 141), (145, 133), (145, 135), (145, 136), (145, 137), (145, 138), (145, 139), (145, 140), (145, 142), (146, 132), (146, 134), (146, 135), (146, 136), (146, 137), (146, 138), (146, 142), (147, 132), (147, 134), (147, 135), (147, 136), (147, 137), (147, 139), (147, 140), (147, 141), (147, 143), (148, 131), (148, 138), (148, 142), (148, 143), (149, 130), (149, 132), (149, 133), (149, 134), (149, 135), (149, 137), (149, 142), (149, 144), (150, 142), (150, 144), (151, 141), (151, 144), (152, 141), (152, 144), (153, 140), (153, 142), (153, 143), (153, 144), (153, 145), (154, 140), (154, 142), (154, 144), (155, 140), (155, 142), (155, 144), (156, 139), (156, 141), (156, 142), (156, 144), (157, 139), (157, 141), (157, 142), (157, 143), (157, 146), (158, 139), (158, 142), (158, 143), (158, 144), (158, 146), (159, 140), (159, 146), (160, 142), (160, 143), (160, 144), (160, 146), (160, 147), (161, 145), (161, 147), (162, 146), (162, 147), (163, 147), (163, 148), (164, 140), (164, 147), (164, 148), (165, 140), (165, 146), (165, 148), (166, 140), (166, 146), (167, 140), (167, 145), (167, 147), (168, 140), (168, 142), (168, 143), (168, 147), (169, 140), (169, 145), (169, 147), (170, 141), (170, 147), (171, 142), (171, 144), (171, 146))
coordinates_b4_e7_fa = ((119, 144), (119, 145), (119, 146), (119, 147), (119, 148), (119, 149), (119, 150), (119, 151), (119, 152), (119, 153), (119, 154), (120, 136), (120, 137), (120, 138), (120, 139), (120, 140), (120, 141), (120, 142), (120, 143), (120, 156), (121, 134), (121, 144), (121, 145), (121, 146), (121, 147), (121, 148), (121, 149), (121, 150), (121, 151), (121, 152), (121, 153), (121, 154), (121, 156), (122, 136), (122, 137), (122, 138), (122, 139), (122, 141), (122, 142), (122, 143), (122, 144), (122, 145), (122, 146), (122, 147), (122, 148), (122, 149), (122, 150), (122, 151), (122, 152), (122, 153), (122, 154), (122, 156), (123, 140), (123, 142), (123, 143), (123, 144), (123, 145), (123, 146), (123, 147), (123, 148), (123, 149), (123, 150), (123, 151), (123, 152), (123, 153), (123, 155), (124, 141), (124, 143), (124, 144), (124, 145), (124, 146), (124, 147), (124, 148), (124, 149), (124, 150), (124, 151), (124, 152), (124, 153), (124, 154), (124, 156), (125, 141), (125, 143), (125, 144), (125, 145), (125, 146), (125, 147), (125, 148), (125, 149), (125, 150), (125, 151), (125, 152), (125, 153), (125, 154), (125, 156), (126, 141), (126, 143), (126, 144), (126, 145), (126, 146), (126, 147), (126, 148), (126, 149), (126, 150), (126, 151), (126, 152), (126, 153), (126, 154), (126, 156), (127, 139), (127, 140), (127, 155), (128, 141), (128, 142), (128, 143), (128, 144), (128, 145), (128, 146), (128, 147), (128, 148), (128, 149), (128, 150), (128, 151), (128, 152), (128, 153), (128, 155))
coordinates_f98072 = ((124, 119), (124, 121), (125, 118), (126, 118), (127, 117), (127, 118), (128, 117), (128, 118), (129, 117), (130, 117), (131, 118), (132, 118), (134, 118), (135, 118), (136, 117), (136, 118), (137, 116), (137, 118), (138, 116), (138, 118), (139, 116), (139, 117), (140, 116), (140, 118), (141, 116), (141, 118), (142, 116), (142, 118), (143, 116), (143, 118), (144, 117), (145, 117))
coordinates_97_fb98 = ((155, 118), (156, 118), (157, 117), (157, 118), (158, 117), (158, 118), (159, 117), (160, 117), (160, 119), (161, 116), (161, 119), (161, 131), (162, 116), (162, 118), (162, 120), (162, 130), (162, 132), (163, 116), (163, 118), (163, 120), (163, 130), (163, 134), (163, 135), (163, 136), (163, 138), (164, 116), (164, 118), (164, 120), (164, 129), (164, 131), (164, 132), (164, 138), (165, 116), (165, 119), (165, 129), (165, 131), (165, 132), (165, 133), (165, 134), (165, 135), (165, 136), (165, 138), (166, 116), (166, 119), (166, 129), (166, 131), (166, 132), (166, 133), (166, 134), (166, 135), (166, 136), (166, 138), (167, 116), (167, 118), (167, 123), (167, 128), (167, 130), (167, 131), (167, 132), (167, 133), (167, 134), (167, 135), (167, 136), (167, 138), (168, 116), (168, 118), (168, 122), (168, 124), (168, 128), (168, 130), (168, 131), (168, 132), (168, 133), (168, 134), (168, 135), (168, 136), (168, 138), (169, 116), (169, 118), (169, 119), (169, 120), (169, 124), (169, 128), (169, 130), (169, 131), (169, 132), (169, 133), (169, 134), (169, 135), (169, 136), (169, 138), (170, 116), (170, 118), (170, 122), (170, 124), (170, 128), (170, 130), (170, 131), (170, 132), (170, 133), (170, 134), (170, 135), (170, 136), (170, 138), (171, 116), (171, 118), (171, 119), (171, 120), (171, 121), (171, 122), (171, 124), (171, 128), (171, 130), (171, 131), (171, 132), (171, 133), (171, 134), (171, 135), (171, 136), (171, 138), (172, 116), (172, 118), (172, 119), (172, 120), (172, 121), (172, 122), (172, 124), (172, 129), (172, 131), (172, 132), (172, 133), (172, 134), (172, 135), (172, 136), (172, 138), (173, 116), (173, 120), (173, 121), (173, 122), (173, 123), (173, 125), (173, 129), (173, 133), (173, 134), (173, 135), (173, 136), (173, 138), (174, 116), (174, 118), (174, 119), (174, 125), (174, 128), (174, 130), (174, 131), (174, 132), (174, 136), (174, 138), (175, 120), (175, 121), (175, 122), (175, 128), (175, 133), (175, 134), (175, 135), (175, 138), (176, 124), (176, 127), (176, 136))
coordinates_323287 = ((149, 103), (149, 108), (150, 104), (150, 106), (155, 100), (156, 100), (156, 101), (156, 115), (157, 102), (157, 113), (157, 115), (158, 101), (158, 112), (158, 115), (159, 101), (159, 103), (159, 111), (159, 115), (160, 103), (160, 104), (160, 110), (160, 112), (160, 114), (161, 104), (161, 105), (161, 113), (162, 105), (162, 106), (162, 109), (162, 112), (163, 105), (163, 107), (163, 110), (163, 112), (164, 105), (164, 109), (164, 110), (164, 112), (165, 106), (165, 108), (165, 109), (165, 112), (166, 106), (166, 111), (167, 108), (167, 109))
coordinates_6495_ed = ((102, 124), (102, 126), (103, 124), (103, 127), (104, 124), (104, 127), (105, 124), (105, 127), (106, 124), (106, 127), (107, 124), (107, 126), (108, 124), (108, 126), (109, 123), (109, 126), (110, 123), (110, 126), (111, 122), (111, 124), (111, 126), (112, 122), (112, 124), (112, 126), (113, 122), (113, 124), (113, 126), (114, 122), (114, 125), (115, 122), (115, 125), (116, 121), (116, 123), (116, 125), (117, 121), (117, 125), (118, 121), (118, 124), (119, 121), (119, 123), (120, 122))
coordinates_01_ffff = ((79, 148), (79, 151), (80, 147), (80, 151), (81, 145), (81, 148), (81, 149), (81, 151), (82, 144), (82, 147), (82, 148), (82, 150), (83, 142), (83, 143), (83, 144), (83, 147), (83, 148), (83, 150), (84, 140), (84, 142), (84, 146), (84, 148), (84, 150), (85, 138), (85, 147), (85, 149), (86, 137), (86, 139), (86, 147), (86, 149), (87, 136), (87, 138), (87, 146), (87, 148), (88, 145), (88, 148), (89, 143), (89, 147), (90, 142), (90, 145), (90, 147), (91, 142), (91, 144), (91, 146), (92, 142), (92, 144), (92, 146), (93, 142), (93, 145), (94, 142), (94, 145), (95, 141), (95, 142), (95, 143), (95, 145), (96, 134), (96, 135), (96, 136), (96, 137), (96, 138), (96, 139), (96, 144), (97, 136), (97, 137), (97, 138), (97, 139), (97, 140), (97, 141), (97, 142))
coordinates_fa8072 = ((100, 116), (101, 115), (101, 116), (102, 115), (102, 117), (103, 115), (103, 116), (104, 115), (104, 116), (105, 115), (105, 116), (106, 115), (107, 115), (108, 115), (109, 115), (110, 114), (110, 115), (111, 114), (111, 115), (112, 113), (112, 116), (113, 113), (113, 116), (114, 114), (114, 116), (114, 118), (115, 115), (115, 119), (116, 116), (116, 119), (117, 117), (117, 119), (118, 118), (118, 119))
coordinates_98_fb98 = ((68, 132), (68, 134), (68, 135), (69, 131), (69, 136), (69, 138), (70, 130), (70, 132), (70, 133), (70, 134), (70, 135), (70, 140), (71, 129), (71, 131), (71, 134), (71, 135), (71, 136), (71, 137), (71, 138), (71, 142), (72, 129), (72, 133), (72, 134), (72, 135), (72, 136), (72, 137), (72, 138), (72, 139), (72, 140), (72, 143), (73, 129), (73, 131), (73, 134), (73, 136), (73, 137), (73, 138), (73, 139), (73, 140), (73, 142), (74, 129), (74, 130), (74, 134), (74, 136), (74, 137), (74, 138), (74, 139), (74, 140), (74, 142), (75, 128), (75, 129), (75, 133), (75, 135), (75, 136), (75, 137), (75, 138), (75, 139), (75, 141), (76, 128), (76, 129), (76, 133), (76, 135), (76, 136), (76, 137), (76, 138), (76, 140), (77, 128), (77, 129), (77, 133), (77, 135), (77, 136), (77, 137), (77, 138), (77, 140), (78, 127), (78, 128), (78, 133), (78, 135), (78, 136), (78, 137), (78, 139), (79, 127), (79, 128), (79, 133), (79, 135), (79, 136), (79, 137), (79, 139), (80, 127), (80, 128), (80, 134), (80, 136), (80, 137), (80, 139), (81, 127), (81, 128), (81, 135), (81, 137), (81, 139), (82, 127), (82, 128), (82, 135), (82, 137), (82, 139), (83, 127), (83, 135), (83, 138), (84, 127), (84, 135), (84, 137), (85, 127), (85, 135))
coordinates_fec0_cb = () |
P4_PLUGIN = 'q-p4-plugin'
P4_AGENT = 'q-p4-agent'
P4MODULE = 'p4-module'
CONFIGURATION = 'p4-config'
| p4_plugin = 'q-p4-plugin'
p4_agent = 'q-p4-agent'
p4_module = 'p4-module'
configuration = 'p4-config' |
# -*- coding: utf-8 -*-
"""
Big Bucket o' Exceptions
"""
class PacketException(ValueError):
"""There was an error encoding or decoding your packet."""
class ChannelException(ValueError):
"""Channel woes"""
| """
Big Bucket o' Exceptions
"""
class Packetexception(ValueError):
"""There was an error encoding or decoding your packet."""
class Channelexception(ValueError):
"""Channel woes""" |
def isPalindrome(s):
return s == ''.join(list(reversed(s)))
nums = sorted([x*y for x in range(1000) for y in range(x+1)], reverse=True)
for x in nums:
if isPalindrome(str(x)):
print(x)
break
| def is_palindrome(s):
return s == ''.join(list(reversed(s)))
nums = sorted([x * y for x in range(1000) for y in range(x + 1)], reverse=True)
for x in nums:
if is_palindrome(str(x)):
print(x)
break |
vendas = [ [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]]
maior = marca = media = contador = maior1 = maior2 = maior3 = maior4 = maior5 = maior6 = maiorN = anoo = 0
for l in range(0, 4):
for c in range(0, 6):
vendas[l][c] = int(input("Digite os dados para a tabela: "))
for l in range(0, 4):
for c in range(0, 6):
print(f'[{vendas[l][c]:^5}]', end='')
print()
ano = str(input("Digite um ano: "))
if ano == '2013':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][0]
marca = l + 1
if vendas[l][0] > maior:
maior = vendas[l][0]
marca = l + 1
elif ano == '2014':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][1]
marca = l + 1
if vendas[l][1] > maior:
maior = vendas[l][1]
marca = l + 1
elif ano == '2015':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][2]
marca = l + 1
if vendas[l][2] > maior:
maior = vendas[l][2]
marca = l + 1
elif ano == '2016':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][3]
marca = l + 1
if vendas[l][3] > maior:
maior = vendas[l][3]
marca = l + 1
elif ano == '2017':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][4]
marca = l + 1
if vendas[l][4] > maior:
maior = vendas[l][4]
marca = l + 1
elif ano == '2018':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][5]
marca = l + 1
if vendas[l][5] > maior:
maior = vendas[l][5]
marca = l + 1
if marca == 1:
marca = 'Fiat'
elif marca == 2:
marca = 'Ford'
elif marca == 3:
marca = 'GM'
elif marca == 4:
marca = 'Wolkswagen'
for l in range(0, 4):
for c in range(0, 6):
media += vendas[l][c]
contador += 1
media = media / contador
for l in range(0, 4):
for c in range(0, 6):
if c == 0:
maior1 += vendas[l][0]
for l in range(0, 4):
for c in range(0, 6):
if c == 1:
maior2 += vendas[l][1]
for l in range(0, 4):
for c in range(0, 6):
if c == 3:
maior3 += vendas[l][2]
for l in range(0, 4):
for c in range(0, 6):
if c == 3:
maior4 += vendas[l][3]
for l in range(0, 4):
for c in range(0, 6):
if c == 4:
maior5 += vendas[l][4]
for l in range(0, 4):
for c in range(0, 6):
if c == 5:
maior6 += vendas[l][5]
maiorN = max(maior1, maior2, maior3, maior4, maior5, maior6)
if maiorN == maior1:
anoo = '2013'
elif maiorN == maior2:
anoo = '2014'
elif maiorN == maior3:
anoo = '2015'
elif maiorN == maior4:
anoo = '2016'
elif maiorN == maior5:
anoo = '2017'
elif maiorN == maior6:
anoo = '2018'
print(f'O fabricante que mais vendeu no ano de {ano} foi {marca} e a maior venda foi de {maior} veiculos\nJuntas todas as marcas tiveram uma media de vendas de {media:.2f} durante o periodo de 2013 a 2018\nO ano de maior volume de vendas foi {anoo}, com a media de {maiorN} em vendas')
| vendas = [[0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]]
maior = marca = media = contador = maior1 = maior2 = maior3 = maior4 = maior5 = maior6 = maior_n = anoo = 0
for l in range(0, 4):
for c in range(0, 6):
vendas[l][c] = int(input('Digite os dados para a tabela: '))
for l in range(0, 4):
for c in range(0, 6):
print(f'[{vendas[l][c]:^5}]', end='')
print()
ano = str(input('Digite um ano: '))
if ano == '2013':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][0]
marca = l + 1
if vendas[l][0] > maior:
maior = vendas[l][0]
marca = l + 1
elif ano == '2014':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][1]
marca = l + 1
if vendas[l][1] > maior:
maior = vendas[l][1]
marca = l + 1
elif ano == '2015':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][2]
marca = l + 1
if vendas[l][2] > maior:
maior = vendas[l][2]
marca = l + 1
elif ano == '2016':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][3]
marca = l + 1
if vendas[l][3] > maior:
maior = vendas[l][3]
marca = l + 1
elif ano == '2017':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][4]
marca = l + 1
if vendas[l][4] > maior:
maior = vendas[l][4]
marca = l + 1
elif ano == '2018':
for l in range(0, 4):
for c in range(0, 6):
if l == 0 and c == 0:
maior = vendas[l][5]
marca = l + 1
if vendas[l][5] > maior:
maior = vendas[l][5]
marca = l + 1
if marca == 1:
marca = 'Fiat'
elif marca == 2:
marca = 'Ford'
elif marca == 3:
marca = 'GM'
elif marca == 4:
marca = 'Wolkswagen'
for l in range(0, 4):
for c in range(0, 6):
media += vendas[l][c]
contador += 1
media = media / contador
for l in range(0, 4):
for c in range(0, 6):
if c == 0:
maior1 += vendas[l][0]
for l in range(0, 4):
for c in range(0, 6):
if c == 1:
maior2 += vendas[l][1]
for l in range(0, 4):
for c in range(0, 6):
if c == 3:
maior3 += vendas[l][2]
for l in range(0, 4):
for c in range(0, 6):
if c == 3:
maior4 += vendas[l][3]
for l in range(0, 4):
for c in range(0, 6):
if c == 4:
maior5 += vendas[l][4]
for l in range(0, 4):
for c in range(0, 6):
if c == 5:
maior6 += vendas[l][5]
maior_n = max(maior1, maior2, maior3, maior4, maior5, maior6)
if maiorN == maior1:
anoo = '2013'
elif maiorN == maior2:
anoo = '2014'
elif maiorN == maior3:
anoo = '2015'
elif maiorN == maior4:
anoo = '2016'
elif maiorN == maior5:
anoo = '2017'
elif maiorN == maior6:
anoo = '2018'
print(f'O fabricante que mais vendeu no ano de {ano} foi {marca} e a maior venda foi de {maior} veiculos\nJuntas todas as marcas tiveram uma media de vendas de {media:.2f} durante o periodo de 2013 a 2018\nO ano de maior volume de vendas foi {anoo}, com a media de {maiorN} em vendas') |
class Solution:
def maxAbsValExpr(self, arr1: List[int], arr2: List[int]) -> int:
result = 0
n = len(arr1)
dirs = [[1, 1], [1, -1], [-1, 1], [-1, -1]]
for x, y in dirs:
right = x * arr1[0] + y * arr2[0] + 0
for i in range(n):
left = x * arr1[i] + y * arr2[i] + i
result = max(result, left - right)
right = min(left, right)
return result | class Solution:
def max_abs_val_expr(self, arr1: List[int], arr2: List[int]) -> int:
result = 0
n = len(arr1)
dirs = [[1, 1], [1, -1], [-1, 1], [-1, -1]]
for (x, y) in dirs:
right = x * arr1[0] + y * arr2[0] + 0
for i in range(n):
left = x * arr1[i] + y * arr2[i] + i
result = max(result, left - right)
right = min(left, right)
return result |
#Create a range from 0 to 50, excluding 50.
rng = range(0, 50)
print(list(rng))
#===============================
#Create a range from 0 to 10 with steps of 2.
rng = range(0, 10, 2)
print(list(rng))
#==========================
#Create a range from 100 to 160 with steps of 10. Then print it as a list.
rng = range(100, 160, 10)
print(list(rng))
#========================
#Can you you create a list from 1300 to 700 with descending steps of 100? Is your stop value included in the list?
rng = range(800, 1400, 100)
rng = list(rng)
rng.sort(reverse=True)
print(rng)
#======================
| rng = range(0, 50)
print(list(rng))
rng = range(0, 10, 2)
print(list(rng))
rng = range(100, 160, 10)
print(list(rng))
rng = range(800, 1400, 100)
rng = list(rng)
rng.sort(reverse=True)
print(rng) |
#
# PySNMP MIB module Wellfleet-LAPB-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Wellfleet-LAPB-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:40:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, Integer, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "OctetString", "Integer", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ValueRangeConstraint, ValueSizeConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ValueRangeConstraint", "ValueSizeConstraint", "ConstraintsIntersection", "ConstraintsUnion")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, Counter32, Bits, Counter64, iso, TimeTicks, ObjectIdentity, NotificationType, ModuleIdentity, MibIdentifier, IpAddress, Unsigned32, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "Counter32", "Bits", "Counter64", "iso", "TimeTicks", "ObjectIdentity", "NotificationType", "ModuleIdentity", "MibIdentifier", "IpAddress", "Unsigned32", "Gauge32")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
wfDataLink, = mibBuilder.importSymbols("Wellfleet-COMMON-MIB", "wfDataLink")
wfLapbTable = MibTable((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8), )
if mibBuilder.loadTexts: wfLapbTable.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbTable.setDescription('********************************************************************** LAPB MIB record *********************************************************************')
wfLapbEntry = MibTableRow((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1), ).setIndexNames((0, "Wellfleet-LAPB-MIB", "wfLapbLineNumber"), (0, "Wellfleet-LAPB-MIB", "wfLapbLLIndex"))
if mibBuilder.loadTexts: wfLapbEntry.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbEntry.setDescription('An entry in the LAPB table')
wfLapbDelete = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("created", 1), ("deleted", 2))).clone('created')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbDelete.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbDelete.setDescription('Create/Delete parameter')
wfLapbDisable = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbDisable.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbDisable.setDescription('Enable/Disable parameter')
wfLapbState = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("up", 1), ("down", 2), ("init", 3), ("notpresent", 4))).clone('notpresent')).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbState.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbState.setDescription('Line Driver state variable, Not Present, DSR Wait, Init, Down, Up')
wfLapbLineNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbLineNumber.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbLineNumber.setDescription('Instance identifier, Line Number, filled in by LAPB')
wfLapbLLIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbLLIndex.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbLLIndex.setDescription('Instance identifier, Lower Layer Index, filled in by LAPB')
wfLapbCct = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbCct.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbCct.setDescription('CCT number for this LAPB subsystem, it is associated with the driver or application running underneath it.')
wfLapbStationType = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("dte", 1), ("dce", 2), ("dxe", 3))).clone('dte')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbStationType.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbStationType.setDescription('Identifies the desired station type of this interface. A value of DxE indicates XID enabled but not negotiation has not yet taken place.')
wfLapbControlField = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("modulo8", 1), ("modulo128", 2))).clone('modulo8')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbControlField.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbControlField.setDescription('This parameter establishes the desired size of the sequence numbers used to number frames.')
wfLapbN1FrameSize = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 9), Integer32().subtype(subtypeSpec=ValueRangeConstraint(3, 4500)).clone(1600)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbN1FrameSize.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbN1FrameSize.setDescription('The default maximum N1 frame size desired in number of bytes for a frame transmitted by the DxE. This excludes flags and 0 bits inserted for transparency.')
wfLapbKWindowSize = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 127)).clone(7)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbKWindowSize.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbKWindowSize.setDescription('The default transmit and receive window size for this Interface. This is the maximum number of unacknowledged sequence frames that may be outstanding from this DxE at any one time.')
wfLapbN2RxmitCount = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbN2RxmitCount.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbN2RxmitCount.setDescription('The default N2 retry count indicates the number of retransmission attempts which will be tried per frame before a line is determined to be down. The retry count is max attempts following expiration of the T1 timer.')
wfLapbT1AckTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 12), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 9999)).clone(30)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbT1AckTimer.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbT1AckTimer.setDescription('The default T1 timer for this interface. This specifies the maximum time in tenths of seconds to wait for an acknowledgment of a frame.')
wfLapbT2AckDelayTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 13), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 9999)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbT2AckDelayTimer.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbT2AckDelayTimer.setDescription('The default T2 timer for this interface. This specifies the maximum time in seconds to wait before sending an acknowledgment for a sequenced frame. A value of one means there will be no delay in acknowledgment generation.')
wfLapbT3DisconnectTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 9999)).clone(60)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbT3DisconnectTimer.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbT3DisconnectTimer.setDescription('The T3 timer for this interface. This specifies the time in seconds to wait before considering the link disconnected. A value of one indicates the link will be considered disconnected upon completion of the frame exchange to disconnect the link.')
wfLapbT4IdleTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 9999)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbT4IdleTimer.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbT4IdleTimer.setDescription('The T4 timer for this interface. This specifies the maximum time in seconds to allow without frames being exchanged on the data link. Not implemented for this project.')
wfLapbActionInitiate = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("active", 1), ("passive", 2), ("activeDisc", 3))).clone('active')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbActionInitiate.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbActionInitiate.setDescription('This identifies the action LAPB will take to initiate link set-up.')
wfLapbXidDisable = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 17), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('disabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbXidDisable.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbXidDisable.setDescription('XID enable/disable parameter. This parameter is used to enable or disable transmission/reception of Test XID frames.')
wfLapbCommandAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 18), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 3))).clone(namedValues=NamedValues(("dte", 1), ("dce", 3))).clone('dte')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbCommandAddress.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbCommandAddress.setDescription('The local command address parameter contains the DTE or DCE value expressed as a single octet.')
wfLapbResponseAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 19), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(3, 1))).clone(namedValues=NamedValues(("dte", 3), ("dce", 1))).clone('dte')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbResponseAddress.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbResponseAddress.setDescription('The local response address parameter contains the DTE or DCE value expressed as a single octet.')
wfLapbWanProtocol = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 20), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 6, 7))).clone(namedValues=NamedValues(("standard", 1), ("x25", 6), ("lapb", 7))).clone('standard')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbWanProtocol.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbWanProtocol.setDescription('WAN protocol selection is provided via this parameter. The supported protocols can be selected per interface.')
wfLapbRxOctets = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 21), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRxOctets.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRxOctets.setDescription('Number of octets received without error')
wfLapbRxFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 22), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRxFrames.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRxFrames.setDescription('Number of frames received without error')
wfLapbTxOctets = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 23), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbTxOctets.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbTxOctets.setDescription('Number of octets transmitted without error')
wfLapbTxFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 24), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbTxFrames.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbTxFrames.setDescription('Number of frames transmitted without error')
wfLapbReXmits = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 25), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbReXmits.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbReXmits.setDescription('Number of retransmission occurances')
wfLapbRejectsTx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 26), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRejectsTx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRejectsTx.setDescription('Number of reject frames which were transmitted')
wfLapbRejectsRx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 27), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRejectsRx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRejectsRx.setDescription('Number of reject frames which were received')
wfLapbFrameRejectsTx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 28), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbFrameRejectsTx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbFrameRejectsTx.setDescription('Number of Frame Rejects transmitted')
wfLapbFrameRejectsRx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 29), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbFrameRejectsRx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbFrameRejectsRx.setDescription('Number of Frame Rejects received')
wfLapbRRsTx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 30), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRRsTx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRRsTx.setDescription('Number of Receiver Ready frames transmitted')
wfLapbRRsRx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 31), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRRsRx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRRsRx.setDescription('Number of Receiver Ready frames received')
wfLapbRNRsTx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 32), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRNRsTx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRNRsTx.setDescription('Number of Receiver Not Ready frames transmitted')
wfLapbRNRsRx = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 33), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbRNRsRx.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRNRsRx.setDescription('Number of Receiver Not Ready frames received')
wfLapbResets = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 34), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbResets.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbResets.setDescription('Number of Link Connection Resets')
wfLapbNormalDisc = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 35), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbNormalDisc.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbNormalDisc.setDescription('Number of normal link disconnections')
wfLapbAbnormalDisc = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 36), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbAbnormalDisc.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbAbnormalDisc.setDescription('Number of abnormal link disconnections')
wfLapbSetupAllowed = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 37), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbSetupAllowed.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbSetupAllowed.setDescription('Number of successful link connections')
wfLapbSetupRefused = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 38), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: wfLapbSetupRefused.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbSetupRefused.setDescription('Number of unsuccessful link connections')
wfLapbNetworkType = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 39), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("gosip", 1), ("net2", 2))).clone('net2')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbNetworkType.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbNetworkType.setDescription('The types GOSIP and NET2 are used in conjunction with the X.25 network')
wfLapbIdleRRFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 40), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("on", 1), ("off", 2))).clone('off')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbIdleRRFrames.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbIdleRRFrames.setDescription('XID enable/disable parameter. This parameter is used to enable or disable transmission/reception of Test XID frames.')
wfLapbClientType = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 41), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("x25", 2), ("ipex", 3))).clone('x25')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbClientType.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbClientType.setDescription('This parameter is used to describe the client above the LAPB protocol layer. By default, the client is the X.25 Packet layer. Currently, the only other selection is ipex or none.')
wfLapbRetransmitTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 42), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: wfLapbRetransmitTimer.setStatus('mandatory')
if mibBuilder.loadTexts: wfLapbRetransmitTimer.setDescription('The Retransmit timer for this interface. This specifies the maximum time in seconds to allow without retransmitting frames after RNR and RR received on this interface.')
mibBuilder.exportSymbols("Wellfleet-LAPB-MIB", wfLapbFrameRejectsRx=wfLapbFrameRejectsRx, wfLapbRxFrames=wfLapbRxFrames, wfLapbCommandAddress=wfLapbCommandAddress, wfLapbRNRsTx=wfLapbRNRsTx, wfLapbKWindowSize=wfLapbKWindowSize, wfLapbN2RxmitCount=wfLapbN2RxmitCount, wfLapbT4IdleTimer=wfLapbT4IdleTimer, wfLapbStationType=wfLapbStationType, wfLapbXidDisable=wfLapbXidDisable, wfLapbState=wfLapbState, wfLapbSetupRefused=wfLapbSetupRefused, wfLapbLineNumber=wfLapbLineNumber, wfLapbLLIndex=wfLapbLLIndex, wfLapbNetworkType=wfLapbNetworkType, wfLapbIdleRRFrames=wfLapbIdleRRFrames, wfLapbN1FrameSize=wfLapbN1FrameSize, wfLapbRejectsRx=wfLapbRejectsRx, wfLapbClientType=wfLapbClientType, wfLapbRRsTx=wfLapbRRsTx, wfLapbTxFrames=wfLapbTxFrames, wfLapbRxOctets=wfLapbRxOctets, wfLapbTable=wfLapbTable, wfLapbT2AckDelayTimer=wfLapbT2AckDelayTimer, wfLapbSetupAllowed=wfLapbSetupAllowed, wfLapbActionInitiate=wfLapbActionInitiate, wfLapbRetransmitTimer=wfLapbRetransmitTimer, wfLapbT1AckTimer=wfLapbT1AckTimer, wfLapbEntry=wfLapbEntry, wfLapbDelete=wfLapbDelete, wfLapbRejectsTx=wfLapbRejectsTx, wfLapbFrameRejectsTx=wfLapbFrameRejectsTx, wfLapbNormalDisc=wfLapbNormalDisc, wfLapbRRsRx=wfLapbRRsRx, wfLapbWanProtocol=wfLapbWanProtocol, wfLapbCct=wfLapbCct, wfLapbT3DisconnectTimer=wfLapbT3DisconnectTimer, wfLapbReXmits=wfLapbReXmits, wfLapbRNRsRx=wfLapbRNRsRx, wfLapbResets=wfLapbResets, wfLapbTxOctets=wfLapbTxOctets, wfLapbAbnormalDisc=wfLapbAbnormalDisc, wfLapbResponseAddress=wfLapbResponseAddress, wfLapbDisable=wfLapbDisable, wfLapbControlField=wfLapbControlField)
| (octet_string, integer, object_identifier) = mibBuilder.importSymbols('ASN1', 'OctetString', 'Integer', 'ObjectIdentifier')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(single_value_constraint, value_range_constraint, value_size_constraint, constraints_intersection, constraints_union) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'SingleValueConstraint', 'ValueRangeConstraint', 'ValueSizeConstraint', 'ConstraintsIntersection', 'ConstraintsUnion')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(mib_scalar, mib_table, mib_table_row, mib_table_column, integer32, counter32, bits, counter64, iso, time_ticks, object_identity, notification_type, module_identity, mib_identifier, ip_address, unsigned32, gauge32) = mibBuilder.importSymbols('SNMPv2-SMI', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'Integer32', 'Counter32', 'Bits', 'Counter64', 'iso', 'TimeTicks', 'ObjectIdentity', 'NotificationType', 'ModuleIdentity', 'MibIdentifier', 'IpAddress', 'Unsigned32', 'Gauge32')
(display_string, textual_convention) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention')
(wf_data_link,) = mibBuilder.importSymbols('Wellfleet-COMMON-MIB', 'wfDataLink')
wf_lapb_table = mib_table((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8))
if mibBuilder.loadTexts:
wfLapbTable.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbTable.setDescription('********************************************************************** LAPB MIB record *********************************************************************')
wf_lapb_entry = mib_table_row((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1)).setIndexNames((0, 'Wellfleet-LAPB-MIB', 'wfLapbLineNumber'), (0, 'Wellfleet-LAPB-MIB', 'wfLapbLLIndex'))
if mibBuilder.loadTexts:
wfLapbEntry.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbEntry.setDescription('An entry in the LAPB table')
wf_lapb_delete = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 1), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('created', 1), ('deleted', 2))).clone('created')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbDelete.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbDelete.setDescription('Create/Delete parameter')
wf_lapb_disable = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 2), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2))).clone('enabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbDisable.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbDisable.setDescription('Enable/Disable parameter')
wf_lapb_state = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('up', 1), ('down', 2), ('init', 3), ('notpresent', 4))).clone('notpresent')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbState.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbState.setDescription('Line Driver state variable, Not Present, DSR Wait, Init, Down, Up')
wf_lapb_line_number = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 4), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbLineNumber.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbLineNumber.setDescription('Instance identifier, Line Number, filled in by LAPB')
wf_lapb_ll_index = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 5), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbLLIndex.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbLLIndex.setDescription('Instance identifier, Lower Layer Index, filled in by LAPB')
wf_lapb_cct = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 6), integer32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbCct.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbCct.setDescription('CCT number for this LAPB subsystem, it is associated with the driver or application running underneath it.')
wf_lapb_station_type = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 7), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('dte', 1), ('dce', 2), ('dxe', 3))).clone('dte')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbStationType.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbStationType.setDescription('Identifies the desired station type of this interface. A value of DxE indicates XID enabled but not negotiation has not yet taken place.')
wf_lapb_control_field = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 8), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('modulo8', 1), ('modulo128', 2))).clone('modulo8')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbControlField.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbControlField.setDescription('This parameter establishes the desired size of the sequence numbers used to number frames.')
wf_lapb_n1_frame_size = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 9), integer32().subtype(subtypeSpec=value_range_constraint(3, 4500)).clone(1600)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbN1FrameSize.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbN1FrameSize.setDescription('The default maximum N1 frame size desired in number of bytes for a frame transmitted by the DxE. This excludes flags and 0 bits inserted for transparency.')
wf_lapb_k_window_size = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 10), integer32().subtype(subtypeSpec=value_range_constraint(1, 127)).clone(7)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbKWindowSize.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbKWindowSize.setDescription('The default transmit and receive window size for this Interface. This is the maximum number of unacknowledged sequence frames that may be outstanding from this DxE at any one time.')
wf_lapb_n2_rxmit_count = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 11), integer32().subtype(subtypeSpec=value_range_constraint(1, 64)).clone(10)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbN2RxmitCount.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbN2RxmitCount.setDescription('The default N2 retry count indicates the number of retransmission attempts which will be tried per frame before a line is determined to be down. The retry count is max attempts following expiration of the T1 timer.')
wf_lapb_t1_ack_timer = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 12), integer32().subtype(subtypeSpec=value_range_constraint(1, 9999)).clone(30)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbT1AckTimer.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbT1AckTimer.setDescription('The default T1 timer for this interface. This specifies the maximum time in tenths of seconds to wait for an acknowledgment of a frame.')
wf_lapb_t2_ack_delay_timer = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 13), integer32().subtype(subtypeSpec=value_range_constraint(1, 9999)).clone(1)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbT2AckDelayTimer.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbT2AckDelayTimer.setDescription('The default T2 timer for this interface. This specifies the maximum time in seconds to wait before sending an acknowledgment for a sequenced frame. A value of one means there will be no delay in acknowledgment generation.')
wf_lapb_t3_disconnect_timer = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 14), integer32().subtype(subtypeSpec=value_range_constraint(1, 9999)).clone(60)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbT3DisconnectTimer.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbT3DisconnectTimer.setDescription('The T3 timer for this interface. This specifies the time in seconds to wait before considering the link disconnected. A value of one indicates the link will be considered disconnected upon completion of the frame exchange to disconnect the link.')
wf_lapb_t4_idle_timer = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 15), integer32().subtype(subtypeSpec=value_range_constraint(1, 9999)).clone(1)).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbT4IdleTimer.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbT4IdleTimer.setDescription('The T4 timer for this interface. This specifies the maximum time in seconds to allow without frames being exchanged on the data link. Not implemented for this project.')
wf_lapb_action_initiate = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 16), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('active', 1), ('passive', 2), ('activeDisc', 3))).clone('active')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbActionInitiate.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbActionInitiate.setDescription('This identifies the action LAPB will take to initiate link set-up.')
wf_lapb_xid_disable = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 17), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('enabled', 1), ('disabled', 2))).clone('disabled')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbXidDisable.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbXidDisable.setDescription('XID enable/disable parameter. This parameter is used to enable or disable transmission/reception of Test XID frames.')
wf_lapb_command_address = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 18), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 3))).clone(namedValues=named_values(('dte', 1), ('dce', 3))).clone('dte')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbCommandAddress.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbCommandAddress.setDescription('The local command address parameter contains the DTE or DCE value expressed as a single octet.')
wf_lapb_response_address = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 19), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(3, 1))).clone(namedValues=named_values(('dte', 3), ('dce', 1))).clone('dte')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbResponseAddress.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbResponseAddress.setDescription('The local response address parameter contains the DTE or DCE value expressed as a single octet.')
wf_lapb_wan_protocol = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 20), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 6, 7))).clone(namedValues=named_values(('standard', 1), ('x25', 6), ('lapb', 7))).clone('standard')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbWanProtocol.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbWanProtocol.setDescription('WAN protocol selection is provided via this parameter. The supported protocols can be selected per interface.')
wf_lapb_rx_octets = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 21), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRxOctets.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRxOctets.setDescription('Number of octets received without error')
wf_lapb_rx_frames = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 22), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRxFrames.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRxFrames.setDescription('Number of frames received without error')
wf_lapb_tx_octets = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 23), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbTxOctets.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbTxOctets.setDescription('Number of octets transmitted without error')
wf_lapb_tx_frames = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 24), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbTxFrames.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbTxFrames.setDescription('Number of frames transmitted without error')
wf_lapb_re_xmits = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 25), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbReXmits.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbReXmits.setDescription('Number of retransmission occurances')
wf_lapb_rejects_tx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 26), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRejectsTx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRejectsTx.setDescription('Number of reject frames which were transmitted')
wf_lapb_rejects_rx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 27), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRejectsRx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRejectsRx.setDescription('Number of reject frames which were received')
wf_lapb_frame_rejects_tx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 28), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbFrameRejectsTx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbFrameRejectsTx.setDescription('Number of Frame Rejects transmitted')
wf_lapb_frame_rejects_rx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 29), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbFrameRejectsRx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbFrameRejectsRx.setDescription('Number of Frame Rejects received')
wf_lapb_r_rs_tx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 30), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRRsTx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRRsTx.setDescription('Number of Receiver Ready frames transmitted')
wf_lapb_r_rs_rx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 31), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRRsRx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRRsRx.setDescription('Number of Receiver Ready frames received')
wf_lapb_rn_rs_tx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 32), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRNRsTx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRNRsTx.setDescription('Number of Receiver Not Ready frames transmitted')
wf_lapb_rn_rs_rx = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 33), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbRNRsRx.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRNRsRx.setDescription('Number of Receiver Not Ready frames received')
wf_lapb_resets = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 34), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbResets.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbResets.setDescription('Number of Link Connection Resets')
wf_lapb_normal_disc = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 35), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbNormalDisc.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbNormalDisc.setDescription('Number of normal link disconnections')
wf_lapb_abnormal_disc = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 36), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbAbnormalDisc.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbAbnormalDisc.setDescription('Number of abnormal link disconnections')
wf_lapb_setup_allowed = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 37), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbSetupAllowed.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbSetupAllowed.setDescription('Number of successful link connections')
wf_lapb_setup_refused = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 38), counter32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
wfLapbSetupRefused.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbSetupRefused.setDescription('Number of unsuccessful link connections')
wf_lapb_network_type = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 39), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('gosip', 1), ('net2', 2))).clone('net2')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbNetworkType.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbNetworkType.setDescription('The types GOSIP and NET2 are used in conjunction with the X.25 network')
wf_lapb_idle_rr_frames = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 40), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2))).clone(namedValues=named_values(('on', 1), ('off', 2))).clone('off')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbIdleRRFrames.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbIdleRRFrames.setDescription('XID enable/disable parameter. This parameter is used to enable or disable transmission/reception of Test XID frames.')
wf_lapb_client_type = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 41), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3))).clone(namedValues=named_values(('none', 1), ('x25', 2), ('ipex', 3))).clone('x25')).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbClientType.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbClientType.setDescription('This parameter is used to describe the client above the LAPB protocol layer. By default, the client is the X.25 Packet layer. Currently, the only other selection is ipex or none.')
wf_lapb_retransmit_timer = mib_table_column((1, 3, 6, 1, 4, 1, 18, 3, 5, 1, 8, 1, 42), integer32().subtype(subtypeSpec=value_range_constraint(0, 255))).setMaxAccess('readwrite')
if mibBuilder.loadTexts:
wfLapbRetransmitTimer.setStatus('mandatory')
if mibBuilder.loadTexts:
wfLapbRetransmitTimer.setDescription('The Retransmit timer for this interface. This specifies the maximum time in seconds to allow without retransmitting frames after RNR and RR received on this interface.')
mibBuilder.exportSymbols('Wellfleet-LAPB-MIB', wfLapbFrameRejectsRx=wfLapbFrameRejectsRx, wfLapbRxFrames=wfLapbRxFrames, wfLapbCommandAddress=wfLapbCommandAddress, wfLapbRNRsTx=wfLapbRNRsTx, wfLapbKWindowSize=wfLapbKWindowSize, wfLapbN2RxmitCount=wfLapbN2RxmitCount, wfLapbT4IdleTimer=wfLapbT4IdleTimer, wfLapbStationType=wfLapbStationType, wfLapbXidDisable=wfLapbXidDisable, wfLapbState=wfLapbState, wfLapbSetupRefused=wfLapbSetupRefused, wfLapbLineNumber=wfLapbLineNumber, wfLapbLLIndex=wfLapbLLIndex, wfLapbNetworkType=wfLapbNetworkType, wfLapbIdleRRFrames=wfLapbIdleRRFrames, wfLapbN1FrameSize=wfLapbN1FrameSize, wfLapbRejectsRx=wfLapbRejectsRx, wfLapbClientType=wfLapbClientType, wfLapbRRsTx=wfLapbRRsTx, wfLapbTxFrames=wfLapbTxFrames, wfLapbRxOctets=wfLapbRxOctets, wfLapbTable=wfLapbTable, wfLapbT2AckDelayTimer=wfLapbT2AckDelayTimer, wfLapbSetupAllowed=wfLapbSetupAllowed, wfLapbActionInitiate=wfLapbActionInitiate, wfLapbRetransmitTimer=wfLapbRetransmitTimer, wfLapbT1AckTimer=wfLapbT1AckTimer, wfLapbEntry=wfLapbEntry, wfLapbDelete=wfLapbDelete, wfLapbRejectsTx=wfLapbRejectsTx, wfLapbFrameRejectsTx=wfLapbFrameRejectsTx, wfLapbNormalDisc=wfLapbNormalDisc, wfLapbRRsRx=wfLapbRRsRx, wfLapbWanProtocol=wfLapbWanProtocol, wfLapbCct=wfLapbCct, wfLapbT3DisconnectTimer=wfLapbT3DisconnectTimer, wfLapbReXmits=wfLapbReXmits, wfLapbRNRsRx=wfLapbRNRsRx, wfLapbResets=wfLapbResets, wfLapbTxOctets=wfLapbTxOctets, wfLapbAbnormalDisc=wfLapbAbnormalDisc, wfLapbResponseAddress=wfLapbResponseAddress, wfLapbDisable=wfLapbDisable, wfLapbControlField=wfLapbControlField) |
# https://leetcode.com/problems/coin-change-2/
class Solution:
def change(self, amount: int, coins: list[int]) -> int:
dp = [0 for _ in range(amount + 1)]
dp[0] = 1
for coin in coins:
for amount_idx in range(coin, len(dp)):
dp[amount_idx] += dp[amount_idx - coin]
return dp[-1]
| class Solution:
def change(self, amount: int, coins: list[int]) -> int:
dp = [0 for _ in range(amount + 1)]
dp[0] = 1
for coin in coins:
for amount_idx in range(coin, len(dp)):
dp[amount_idx] += dp[amount_idx - coin]
return dp[-1] |
# Map
# Looping without a loop
# Basic usage - count len
people = ['Matt', 'Bryan', 'Nicole', 'Tammy']
# OLD way
'''count = []
for x in people:
count.append(len(x))
print(f'Old way:\n{count}')'''
# MODERN way
print(f'Map function:\n{list(map(len,people))}')
# COMBINE ELEMENTS
# Notice different lengs, we are also passing multiple args
base = ('Pie', 'Cake', 'Brownies')
toppings = ('Apple', 'Chocolate', 'Fudge', 'Pizza')
def merg(a, b):
return a + ' ' + b
x = map(merg, base, toppings)
print(list(x))
# If there is nothing matched up it will fall off -> pizza toppings
# MULTIPE FUNCTIONS
# call multiple functions in one map call
def add(a, b):
return a + b
def subtract(a, b):
return a - b
def multiply(a, b):
return a * b
def divide(a, b):
return a / b
def doall(func, num):
return func(num[0], num[1])
# Tuple with all the functions
f = (add, subtract, multiply, divide)
# list inside a list
v = [[5, 3]]
n = list(v) * len(f)
print(f'{n}\n')
m = map(doall, f, n)
print(list(m))
| people = ['Matt', 'Bryan', 'Nicole', 'Tammy']
"count = []\nfor x in people:\n count.append(len(x))\nprint(f'Old way:\n{count}')"
print(f'Map function:\n{list(map(len, people))}')
base = ('Pie', 'Cake', 'Brownies')
toppings = ('Apple', 'Chocolate', 'Fudge', 'Pizza')
def merg(a, b):
return a + ' ' + b
x = map(merg, base, toppings)
print(list(x))
def add(a, b):
return a + b
def subtract(a, b):
return a - b
def multiply(a, b):
return a * b
def divide(a, b):
return a / b
def doall(func, num):
return func(num[0], num[1])
f = (add, subtract, multiply, divide)
v = [[5, 3]]
n = list(v) * len(f)
print(f'{n}\n')
m = map(doall, f, n)
print(list(m)) |
# returns minimum value from list of bms data parameter
def bms_param_min(bms_param_data):
if len(bms_param_data) !=0:
return round(min(bms_param_data),3)
return "Data not available"
# returns maximum value from list of bms data parameter
def bms_param_max(bms_param_data):
if len(bms_param_data) != 0:
return round(max(bms_param_data), 3)
return "Data not available"
# report the statistics of bms data stream received from sender
def displayOutput(bms_data):
bms_temperature_list = bms_data[0]
bms_soc_list = bms_data[1]
bms_chargeRate_list = bms_data[2]
print('Max Temperature:', bms_param_max(bms_temperature_list))
print('Min Temperature:', bms_param_min(bms_temperature_list))
print('Moving average of last five values of temperature:', bms_moving_average_last_5(bms_temperature_list))
print('Max SOC:', bms_param_max(bms_soc_list))
print('Min SOC:', bms_param_min(bms_soc_list))
print('Moving average of last five values of chargeRate:', bms_moving_average_last_5(bms_soc_list))
print('Max chargeRate:', bms_param_max(bms_chargeRate_list))
print('Min chargeRate:', bms_param_min(bms_chargeRate_list))
print('Moving average of last five values of chargeRate:', bms_moving_average_last_5(bms_chargeRate_list))
return 'Success'
# returns moving average of last 5 values in bms parameter list
def bms_moving_average_last_5(bms_param_data):
length = len(bms_param_data)
if length >= 5:
moving_average = round((sum(bms_param_data[-5:])/5),3)
return moving_average
return "Data Insufficent"
| def bms_param_min(bms_param_data):
if len(bms_param_data) != 0:
return round(min(bms_param_data), 3)
return 'Data not available'
def bms_param_max(bms_param_data):
if len(bms_param_data) != 0:
return round(max(bms_param_data), 3)
return 'Data not available'
def display_output(bms_data):
bms_temperature_list = bms_data[0]
bms_soc_list = bms_data[1]
bms_charge_rate_list = bms_data[2]
print('Max Temperature:', bms_param_max(bms_temperature_list))
print('Min Temperature:', bms_param_min(bms_temperature_list))
print('Moving average of last five values of temperature:', bms_moving_average_last_5(bms_temperature_list))
print('Max SOC:', bms_param_max(bms_soc_list))
print('Min SOC:', bms_param_min(bms_soc_list))
print('Moving average of last five values of chargeRate:', bms_moving_average_last_5(bms_soc_list))
print('Max chargeRate:', bms_param_max(bms_chargeRate_list))
print('Min chargeRate:', bms_param_min(bms_chargeRate_list))
print('Moving average of last five values of chargeRate:', bms_moving_average_last_5(bms_chargeRate_list))
return 'Success'
def bms_moving_average_last_5(bms_param_data):
length = len(bms_param_data)
if length >= 5:
moving_average = round(sum(bms_param_data[-5:]) / 5, 3)
return moving_average
return 'Data Insufficent' |
#
# PySNMP MIB module STN-SYSTEM-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/STN-SYSTEM-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:11:42 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
ModuleIdentity, Integer32, IpAddress, TimeTicks, Gauge32, NotificationType, MibIdentifier, Counter32, iso, Counter64, Bits, MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, Unsigned32 = mibBuilder.importSymbols("SNMPv2-SMI", "ModuleIdentity", "Integer32", "IpAddress", "TimeTicks", "Gauge32", "NotificationType", "MibIdentifier", "Counter32", "iso", "Counter64", "Bits", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "Unsigned32")
DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue")
stnSystems, = mibBuilder.importSymbols("SPRING-TIDE-NETWORKS-SMI", "stnSystems")
stnSystemMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 3551, 2, 4))
if mibBuilder.loadTexts: stnSystemMIB.setLastUpdated('0002160000Z')
if mibBuilder.loadTexts: stnSystemMIB.setOrganization('Spring Tide Networks, Inc.')
if mibBuilder.loadTexts: stnSystemMIB.setContactInfo(' Spring Tide Networks, Inc. Customer Service Postal: 3 Clock Tower Place Maynard, MA 01754 Tel: 1 888-786-4357 Email: stncs@springtidenet.com ')
if mibBuilder.loadTexts: stnSystemMIB.setDescription('STN System MIB.')
stnSystemMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1))
stnSystemMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 2))
stnSysTimeGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1))
stnSysAttrGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2))
stnSysServersGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3))
stnSysCfgCtrlGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4))
stnUTCOffset = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 1), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnUTCOffset.setStatus('current')
if mibBuilder.loadTexts: stnUTCOffset.setDescription('Specifies the number of hours to add or subtract from the universal time constant (UTC) when converting to local time.')
stnDaylightTime = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 2), TruthValue().clone(1)).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnDaylightTime.setStatus('current')
if mibBuilder.loadTexts: stnDaylightTime.setDescription('Specifies whether the system should adjust local time to compensate for daylight savings time.')
stnTimeSource = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("internal", 1), ("external-NTP", 2), ("external-RC868", 3), ("all", 4))).clone('all')).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnTimeSource.setStatus('current')
if mibBuilder.loadTexts: stnTimeSource.setDescription('Specifies which sources the system should use attempting to obtain the current time.')
stnRFC868Server = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 4), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnRFC868Server.setStatus('current')
if mibBuilder.loadTexts: stnRFC868Server.setDescription('If an NTP server is to be used as a time source, this value specifies the IP address of the server to query.')
stnNTPServer = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 5), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnNTPServer.setStatus('current')
if mibBuilder.loadTexts: stnNTPServer.setDescription('If an RFC-868 server is to be used as a time source this value specifies the IP address of the server to query.')
stnQueryTime = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 600)).clone(300)).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnQueryTime.setStatus('current')
if mibBuilder.loadTexts: stnQueryTime.setDescription('Specifies the time in seconds that the ETS should continue an external query for a network based time server.')
stnDeviceIPAddress = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnDeviceIPAddress.setStatus('current')
if mibBuilder.loadTexts: stnDeviceIPAddress.setDescription('The main IP address of the ETS.')
stnDeviceSubnetMask = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 2), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnDeviceSubnetMask.setStatus('current')
if mibBuilder.loadTexts: stnDeviceSubnetMask.setDescription('The IP subnet mask of the ETS.')
stnSocketDelay = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 60)).clone(5)).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnSocketDelay.setStatus('current')
if mibBuilder.loadTexts: stnSocketDelay.setDescription('The number of seconds that the ETS will wait on a socket while sending and receiving data to or from the management application before considering the socket dead.')
stnDumpMode = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("none", 1), ("core", 2), ("context", 3), ("log", 4))).clone('none')).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnDumpMode.setStatus('current')
if mibBuilder.loadTexts: stnDumpMode.setDescription('Specifies the type of crash dump to execute following a crash.')
stnTelnetServerEnabled = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 1), TruthValue().clone('true')).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnTelnetServerEnabled.setStatus('current')
if mibBuilder.loadTexts: stnTelnetServerEnabled.setDescription('Enable Telnet support for external communications.')
stnFTPServerEnabled = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 2), TruthValue().clone('true')).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnFTPServerEnabled.setStatus('current')
if mibBuilder.loadTexts: stnFTPServerEnabled.setDescription('Enable FTP support for external communications.')
stnDNSServerEnabled = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 3), TruthValue().clone('false')).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnDNSServerEnabled.setStatus('current')
if mibBuilder.loadTexts: stnDNSServerEnabled.setDescription('Enable DNS support.')
stnSysCfgCtrlNfsHost = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 1), IpAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnSysCfgCtrlNfsHost.setStatus('current')
if mibBuilder.loadTexts: stnSysCfgCtrlNfsHost.setDescription('Specifies the IP address of an NFS server which can optionally be used for automatic backup of configuration files.')
stnSysCfgCtrlNfsPath = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnSysCfgCtrlNfsPath.setStatus('current')
if mibBuilder.loadTexts: stnSysCfgCtrlNfsPath.setDescription('Specifies the path to an NFS server which can optionally be used for automatic backup of configuration files.')
stnSysCfgCtrlCommitToFlashTimeout = MibScalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 3), Integer32().clone(20)).setMaxAccess("readonly")
if mibBuilder.loadTexts: stnSysCfgCtrlCommitToFlashTimeout.setStatus('current')
if mibBuilder.loadTexts: stnSysCfgCtrlCommitToFlashTimeout.setDescription('Specifies the amount of time in seconds the system will wait before saving committed configuration changes to flash disk.')
mibBuilder.exportSymbols("STN-SYSTEM-MIB", stnSystemMIBObjects=stnSystemMIBObjects, stnSysTimeGroup=stnSysTimeGroup, stnSysCfgCtrlCommitToFlashTimeout=stnSysCfgCtrlCommitToFlashTimeout, stnSysCfgCtrlNfsHost=stnSysCfgCtrlNfsHost, stnDNSServerEnabled=stnDNSServerEnabled, stnFTPServerEnabled=stnFTPServerEnabled, stnTimeSource=stnTimeSource, stnDumpMode=stnDumpMode, stnSystemMIBConformance=stnSystemMIBConformance, stnSysAttrGroup=stnSysAttrGroup, stnUTCOffset=stnUTCOffset, stnSysCfgCtrlNfsPath=stnSysCfgCtrlNfsPath, stnTelnetServerEnabled=stnTelnetServerEnabled, stnQueryTime=stnQueryTime, stnDeviceSubnetMask=stnDeviceSubnetMask, stnSysCfgCtrlGroup=stnSysCfgCtrlGroup, stnDeviceIPAddress=stnDeviceIPAddress, stnRFC868Server=stnRFC868Server, PYSNMP_MODULE_ID=stnSystemMIB, stnSystemMIB=stnSystemMIB, stnDaylightTime=stnDaylightTime, stnNTPServer=stnNTPServer, stnSocketDelay=stnSocketDelay, stnSysServersGroup=stnSysServersGroup)
| (object_identifier, integer, octet_string) = mibBuilder.importSymbols('ASN1', 'ObjectIdentifier', 'Integer', 'OctetString')
(named_values,) = mibBuilder.importSymbols('ASN1-ENUMERATION', 'NamedValues')
(value_size_constraint, constraints_union, value_range_constraint, single_value_constraint, constraints_intersection) = mibBuilder.importSymbols('ASN1-REFINEMENT', 'ValueSizeConstraint', 'ConstraintsUnion', 'ValueRangeConstraint', 'SingleValueConstraint', 'ConstraintsIntersection')
(module_compliance, notification_group) = mibBuilder.importSymbols('SNMPv2-CONF', 'ModuleCompliance', 'NotificationGroup')
(module_identity, integer32, ip_address, time_ticks, gauge32, notification_type, mib_identifier, counter32, iso, counter64, bits, mib_scalar, mib_table, mib_table_row, mib_table_column, object_identity, unsigned32) = mibBuilder.importSymbols('SNMPv2-SMI', 'ModuleIdentity', 'Integer32', 'IpAddress', 'TimeTicks', 'Gauge32', 'NotificationType', 'MibIdentifier', 'Counter32', 'iso', 'Counter64', 'Bits', 'MibScalar', 'MibTable', 'MibTableRow', 'MibTableColumn', 'ObjectIdentity', 'Unsigned32')
(display_string, textual_convention, truth_value) = mibBuilder.importSymbols('SNMPv2-TC', 'DisplayString', 'TextualConvention', 'TruthValue')
(stn_systems,) = mibBuilder.importSymbols('SPRING-TIDE-NETWORKS-SMI', 'stnSystems')
stn_system_mib = module_identity((1, 3, 6, 1, 4, 1, 3551, 2, 4))
if mibBuilder.loadTexts:
stnSystemMIB.setLastUpdated('0002160000Z')
if mibBuilder.loadTexts:
stnSystemMIB.setOrganization('Spring Tide Networks, Inc.')
if mibBuilder.loadTexts:
stnSystemMIB.setContactInfo(' Spring Tide Networks, Inc. Customer Service Postal: 3 Clock Tower Place Maynard, MA 01754 Tel: 1 888-786-4357 Email: stncs@springtidenet.com ')
if mibBuilder.loadTexts:
stnSystemMIB.setDescription('STN System MIB.')
stn_system_mib_objects = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1))
stn_system_mib_conformance = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 2))
stn_sys_time_group = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1))
stn_sys_attr_group = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2))
stn_sys_servers_group = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3))
stn_sys_cfg_ctrl_group = mib_identifier((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4))
stn_utc_offset = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 1), unsigned32()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnUTCOffset.setStatus('current')
if mibBuilder.loadTexts:
stnUTCOffset.setDescription('Specifies the number of hours to add or subtract from the universal time constant (UTC) when converting to local time.')
stn_daylight_time = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 2), truth_value().clone(1)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnDaylightTime.setStatus('current')
if mibBuilder.loadTexts:
stnDaylightTime.setDescription('Specifies whether the system should adjust local time to compensate for daylight savings time.')
stn_time_source = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 3), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('internal', 1), ('external-NTP', 2), ('external-RC868', 3), ('all', 4))).clone('all')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnTimeSource.setStatus('current')
if mibBuilder.loadTexts:
stnTimeSource.setDescription('Specifies which sources the system should use attempting to obtain the current time.')
stn_rfc868_server = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 4), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnRFC868Server.setStatus('current')
if mibBuilder.loadTexts:
stnRFC868Server.setDescription('If an NTP server is to be used as a time source, this value specifies the IP address of the server to query.')
stn_ntp_server = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 5), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnNTPServer.setStatus('current')
if mibBuilder.loadTexts:
stnNTPServer.setDescription('If an RFC-868 server is to be used as a time source this value specifies the IP address of the server to query.')
stn_query_time = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 1, 6), integer32().subtype(subtypeSpec=value_range_constraint(0, 600)).clone(300)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnQueryTime.setStatus('current')
if mibBuilder.loadTexts:
stnQueryTime.setDescription('Specifies the time in seconds that the ETS should continue an external query for a network based time server.')
stn_device_ip_address = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 1), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnDeviceIPAddress.setStatus('current')
if mibBuilder.loadTexts:
stnDeviceIPAddress.setDescription('The main IP address of the ETS.')
stn_device_subnet_mask = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 2), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnDeviceSubnetMask.setStatus('current')
if mibBuilder.loadTexts:
stnDeviceSubnetMask.setDescription('The IP subnet mask of the ETS.')
stn_socket_delay = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 3), integer32().subtype(subtypeSpec=value_range_constraint(0, 60)).clone(5)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnSocketDelay.setStatus('current')
if mibBuilder.loadTexts:
stnSocketDelay.setDescription('The number of seconds that the ETS will wait on a socket while sending and receiving data to or from the management application before considering the socket dead.')
stn_dump_mode = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 2, 4), integer32().subtype(subtypeSpec=constraints_union(single_value_constraint(1, 2, 3, 4))).clone(namedValues=named_values(('none', 1), ('core', 2), ('context', 3), ('log', 4))).clone('none')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnDumpMode.setStatus('current')
if mibBuilder.loadTexts:
stnDumpMode.setDescription('Specifies the type of crash dump to execute following a crash.')
stn_telnet_server_enabled = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 1), truth_value().clone('true')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnTelnetServerEnabled.setStatus('current')
if mibBuilder.loadTexts:
stnTelnetServerEnabled.setDescription('Enable Telnet support for external communications.')
stn_ftp_server_enabled = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 2), truth_value().clone('true')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnFTPServerEnabled.setStatus('current')
if mibBuilder.loadTexts:
stnFTPServerEnabled.setDescription('Enable FTP support for external communications.')
stn_dns_server_enabled = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 3, 3), truth_value().clone('false')).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnDNSServerEnabled.setStatus('current')
if mibBuilder.loadTexts:
stnDNSServerEnabled.setDescription('Enable DNS support.')
stn_sys_cfg_ctrl_nfs_host = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 1), ip_address()).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnSysCfgCtrlNfsHost.setStatus('current')
if mibBuilder.loadTexts:
stnSysCfgCtrlNfsHost.setDescription('Specifies the IP address of an NFS server which can optionally be used for automatic backup of configuration files.')
stn_sys_cfg_ctrl_nfs_path = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 2), display_string().subtype(subtypeSpec=value_size_constraint(0, 128))).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnSysCfgCtrlNfsPath.setStatus('current')
if mibBuilder.loadTexts:
stnSysCfgCtrlNfsPath.setDescription('Specifies the path to an NFS server which can optionally be used for automatic backup of configuration files.')
stn_sys_cfg_ctrl_commit_to_flash_timeout = mib_scalar((1, 3, 6, 1, 4, 1, 3551, 2, 4, 1, 4, 3), integer32().clone(20)).setMaxAccess('readonly')
if mibBuilder.loadTexts:
stnSysCfgCtrlCommitToFlashTimeout.setStatus('current')
if mibBuilder.loadTexts:
stnSysCfgCtrlCommitToFlashTimeout.setDescription('Specifies the amount of time in seconds the system will wait before saving committed configuration changes to flash disk.')
mibBuilder.exportSymbols('STN-SYSTEM-MIB', stnSystemMIBObjects=stnSystemMIBObjects, stnSysTimeGroup=stnSysTimeGroup, stnSysCfgCtrlCommitToFlashTimeout=stnSysCfgCtrlCommitToFlashTimeout, stnSysCfgCtrlNfsHost=stnSysCfgCtrlNfsHost, stnDNSServerEnabled=stnDNSServerEnabled, stnFTPServerEnabled=stnFTPServerEnabled, stnTimeSource=stnTimeSource, stnDumpMode=stnDumpMode, stnSystemMIBConformance=stnSystemMIBConformance, stnSysAttrGroup=stnSysAttrGroup, stnUTCOffset=stnUTCOffset, stnSysCfgCtrlNfsPath=stnSysCfgCtrlNfsPath, stnTelnetServerEnabled=stnTelnetServerEnabled, stnQueryTime=stnQueryTime, stnDeviceSubnetMask=stnDeviceSubnetMask, stnSysCfgCtrlGroup=stnSysCfgCtrlGroup, stnDeviceIPAddress=stnDeviceIPAddress, stnRFC868Server=stnRFC868Server, PYSNMP_MODULE_ID=stnSystemMIB, stnSystemMIB=stnSystemMIB, stnDaylightTime=stnDaylightTime, stnNTPServer=stnNTPServer, stnSocketDelay=stnSocketDelay, stnSysServersGroup=stnSysServersGroup) |
stuff = []
x = True
while x is True:
y = input("")
if y.lower() != 'done':
stuff.append(y)
else:
print(stuff)
print(len(stuff))
break
| stuff = []
x = True
while x is True:
y = input('')
if y.lower() != 'done':
stuff.append(y)
else:
print(stuff)
print(len(stuff))
break |
# Define the path to the DNSMasq Lease file
dnsmasq_lease_file = '/var/lib/misc/dnsmasq.leases'
# Read list of hosts to ping from csv file ping_hosts
ping_hosts = 'ping_hosts'
| dnsmasq_lease_file = '/var/lib/misc/dnsmasq.leases'
ping_hosts = 'ping_hosts' |
def main():
l,mn,ma = list(map(int, input().split()))
if mn>l :
mn = l
if ma>l :
ma = l
mn_sum = l-mn+1
c = 1
for i in range(mn-1):
c *= 2
mn_sum += c
c = 1
mx_sum = 1
for i in range(1,ma):
c *= 2
mx_sum += c
mx_sum += (l-ma)*c
print(mn_sum,mx_sum)
if __name__=='__main__':
main()
| def main():
(l, mn, ma) = list(map(int, input().split()))
if mn > l:
mn = l
if ma > l:
ma = l
mn_sum = l - mn + 1
c = 1
for i in range(mn - 1):
c *= 2
mn_sum += c
c = 1
mx_sum = 1
for i in range(1, ma):
c *= 2
mx_sum += c
mx_sum += (l - ma) * c
print(mn_sum, mx_sum)
if __name__ == '__main__':
main() |
class Solution:
"""
@param S: a string
@return: return a list of strings
"""
def letterCasePermutation(self, S):
# write your code here
upper = sum(c.isalpha() for c in S)
result = []
for i in range(1 << upper):
b = 0
word = []
for c in S:
if c.isalpha():
if (i >> b) & 1:
word.append(c.upper())
else:
word.append(c.lower())
b += 1
else:
word.append(c)
result.append(''.join(word))
return result
| class Solution:
"""
@param S: a string
@return: return a list of strings
"""
def letter_case_permutation(self, S):
upper = sum((c.isalpha() for c in S))
result = []
for i in range(1 << upper):
b = 0
word = []
for c in S:
if c.isalpha():
if i >> b & 1:
word.append(c.upper())
else:
word.append(c.lower())
b += 1
else:
word.append(c)
result.append(''.join(word))
return result |
# Collection.find() function with hardcoded values
myColl = db.get_collection('my_collection')
myRes1 = myColl.find('age = 15').execute()
# Using the .bind() function to bind parameters
myRes2 = myColl.find('name = :param1 AND age = :param2').bind('param1','jack').bind('param2', 17).execute()
# Using named parameters
myColl.modify('name = :param').set('age', 37).bind('param', 'clare').execute()
# Binding works for all CRUD statements except add()
myRes3 = myColl.find('name like :param').bind('param', 'J%').execute()
| my_coll = db.get_collection('my_collection')
my_res1 = myColl.find('age = 15').execute()
my_res2 = myColl.find('name = :param1 AND age = :param2').bind('param1', 'jack').bind('param2', 17).execute()
myColl.modify('name = :param').set('age', 37).bind('param', 'clare').execute()
my_res3 = myColl.find('name like :param').bind('param', 'J%').execute() |
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