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Add day 4, 5, and 6

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Signed-off-by: Alek Ratzloff <alekratz@gmail.com>
This commit is contained in:
Alek Ratzloff
2021-12-07 11:15:07 -08:00
parent adb46f38a8
commit c8c3c0dfcd
9 changed files with 1384 additions and 0 deletions
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108
day04/day04.py Executable file
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#!/usr/bin/env python3
import sys
from typing import Optional, Sequence
class Board:
def __init__(self, matrix: Sequence[Sequence[int]]):
self.matrix = matrix
self.marks = [[False] * len(matrix[0]) for _ in range(len(matrix[0]))]
def mark(self, num: int):
for i, row in enumerate(self.matrix):
for j, col in enumerate(row):
if col == num:
self.marks[i][j] = True
def row(self, i: int) -> Sequence[int]:
return self.matrix[i]
def col(self, j: int) -> Sequence[int]:
return [self.matrix[i][j] for i in range(len(self.matrix))]
def row_marks(self, i: int) -> Sequence[int]:
return self.marks[i]
def col_marks(self, j: int) -> Sequence[int]:
return [self.marks[i][j] for i in range(len(self.marks))]
def row_marked(self) -> Optional[int]:
"If an entire row is marked, return that row's index. Else return None."
for i in range(len(self.matrix)):
if all(self.row_marks(i)):
return i
return None
def col_marked(self) -> Optional[int]:
"If an entire column is marked, return that column's index. Else return None."
for j in range(len(self.matrix[0])):
if all(self.col_marks(j)):
return j
return None
def all_unmarked(self) -> Sequence[int]:
"Gets a list of all the unmarked numbers on this board"
return [
self.matrix[i][j]
for i in range(len(self.matrix))
for j in range(len(self.matrix[i]))
if not self.marks[i][j]
]
def part1(draws: Sequence[int], matrices: Sequence[Sequence[Sequence[int]]]):
boards = [Board(matrix) for matrix in matrices]
result = None
for draw in draws:
# Mark the boards
for board in boards:
board.mark(draw)
# Check to see if there are 5 in a row in any direction
row_num = board.row_marked()
if row_num is not None:
result = sum(board.all_unmarked()) * draw
break
col_num = board.col_marked()
if col_num is not None:
result = sum(board.all_unmarked()) * draw
break
if result is not None:
break
print(result)
def part2(draws: Sequence[int], matrices: Sequence[Sequence[Sequence[int]]]):
boards = [Board(matrix) for matrix in matrices]
result = None
for draw in draws:
# Mark the boards
for board in boards:
board.mark(draw)
# Filter out the winners
if len(boards) == 1:
board = boards[0]
if board.row_marked() is not None or board.col_marked() is not None:
result = sum(board.all_unmarked()) * draw
break
else:
boards = [
board
for board in boards
if board.row_marked() is None and board.col_marked() is None
]
print(result)
lines = [line.strip() for line in sys.stdin if line.strip()]
draws = [int(draw) for draw in lines.pop(0).split(",")]
# Matrices are 5 lines
matrices = [
[[int(col) for col in line.split()] for line in lines[i : i + 5]]
for i in range(0, len(lines), 5)
]
print("Part 1")
part1(draws, matrices)
print("Part 2")
part2(draws, matrices)

19
day04/example.txt Normal file
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7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1
22 13 17 11 0
8 2 23 4 24
21 9 14 16 7
6 10 3 18 5
1 12 20 15 19
3 15 0 2 22
9 18 13 17 5
19 8 7 25 23
20 11 10 24 4
14 21 16 12 6
14 21 17 24 4
10 16 15 9 19
18 8 23 26 20
22 11 13 6 5
2 0 12 3 7

601
day04/input.txt Normal file
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23,30,70,61,79,49,19,37,64,48,72,34,69,53,15,74,89,38,46,36,28,32,45,2,39,58,11,62,97,40,14,87,96,94,91,92,80,99,6,31,57,98,65,10,33,63,42,17,47,66,26,22,73,27,7,0,55,8,56,29,86,25,4,12,51,60,35,50,5,75,95,44,16,93,21,3,24,52,77,76,43,41,9,84,67,71,83,88,59,68,85,82,1,18,13,78,20,90,81,54
50 98 65 14 47
0 22 3 83 46
87 93 81 84 58
40 35 28 74 48
45 99 59 37 64
85 66 90 32 88
95 6 4 74 27
1 10 70 41 92
54 36 42 9 39
60 99 31 67 16
4 44 66 10 58
33 64 93 42 46
19 63 6 83 54
60 51 76 8 30
71 49 73 7 55
17 67 52 61 98
46 5 4 51 76
73 59 74 8 33
48 96 20 26 15
55 19 86 29 43
20 75 12 67 41
89 36 65 66 92
40 19 1 0 28
99 61 85 58 50
44 72 57 35 86
69 87 27 59 33
47 34 60 93 9
71 84 46 24 96
15 91 5 61 19
57 78 55 31 8
19 10 1 81 96
27 71 2 52 56
15 22 48 82 34
64 47 42 49 51
26 72 61 12 57
71 94 40 34 26
12 80 57 38 55
4 56 11 73 49
75 60 61 9 50
91 70 23 1 90
39 86 30 73 38
6 53 58 14 36
85 12 75 88 5
0 29 41 21 15
47 66 59 54 1
99 97 50 17 60
36 13 29 80 32
49 85 75 71 15
10 79 41 61 66
68 57 55 74 98
68 33 87 89 59
96 35 76 78 55
4 63 51 10 65
58 38 22 54 9
66 18 37 60 6
43 86 50 23 77
10 42 19 61 2
40 29 20 84 0
70 59 96 80 57
76 12 39 36 6
73 43 92 37 99
36 42 10 77 87
3 57 4 20 35
18 7 46 91 11
17 98 8 53 61
22 37 89 51 9
71 6 72 87 32
13 79 86 53 98
16 2 93 48 38
63 82 66 61 69
73 90 85 54 65
9 66 28 5 63
91 50 70 59 80
95 68 92 72 67
69 88 36 43 53
36 81 66 78 90
2 25 94 82 55
34 45 1 14 37
13 4 70 48 75
67 73 32 18 91
33 93 71 48 47
8 79 69 53 82
5 31 80 45 37
67 77 41 56 97
65 46 62 42 81
67 70 59 24 88
84 11 29 52 78
4 39 12 90 2
44 3 10 75 89
30 93 22 14 8
79 60 98 99 49
23 26 86 91 38
77 45 95 66 75
81 42 85 21 3
40 37 65 20 50
12 54 0 86 52
15 56 29 39 94
66 79 14 65 26
3 4 59 60 40
47 48 19 13 85
32 44 69 90 21
35 8 1 59 56
72 71 84 18 11
96 38 23 37 79
92 20 33 94 17
1 94 42 21 82
92 60 9 32 38
71 3 37 77 18
89 16 74 76 2
83 30 28 11 70
94 3 1 71 87
6 66 19 76 28
10 86 22 62 2
67 0 31 46 27
8 33 43 92 29
35 90 8 30 27
67 60 82 68 1
5 29 93 44 34
56 65 48 37 51
57 45 63 94 77
67 80 45 57 43
37 81 25 84 82
50 8 9 64 7
29 18 52 16 14
73 28 11 76 6
5 76 67 18 16
68 47 15 29 59
46 32 40 9 84
30 17 20 22 3
35 80 38 72 88
35 44 14 89 72
75 67 56 2 3
58 41 49 12 52
92 9 22 34 88
65 39 93 61 47
38 67 33 18 60
34 50 69 31 83
29 30 9 12 95
79 2 24 54 87
46 68 48 58 42
61 87 46 26 34
74 85 9 54 38
50 29 84 40 4
49 39 33 99 53
77 59 0 42 35
86 68 23 62 5
96 92 7 4 1
50 70 12 83 46
34 63 91 56 11
76 90 71 88 95
19 18 13 3 62
42 29 57 79 85
39 64 14 28 98
99 36 91 9 63
69 66 2 17 31
51 43 49 98 94
31 64 53 54 57
3 28 10 12 2
24 99 95 35 17
76 27 48 0 41
80 62 13 38 98
32 15 16 8 96
93 43 81 99 40
20 57 37 24 3
94 17 70 14 7
52 71 49 95 84
76 38 45 59 89
1 7 27 0 98
92 64 8 50 68
13 91 26 51 2
31 45 25 1 5
50 68 77 61 53
74 20 99 38 63
76 44 15 42 51
67 87 86 12 24
49 0 70 82 9
2 24 96 74 60
68 16 40 32 20
48 6 98 11 65
94 10 54 8 95
74 41 11 33 76
2 10 44 89 23
56 45 78 60 34
15 5 26 83 71
20 72 85 75 54
15 59 93 53 8
4 10 84 44 36
17 62 24 27 98
87 54 73 13 35
9 48 52 33 7
56 80 70 74 35
53 69 75 25 27
47 91 85 62 32
93 26 89 18 52
16 73 49 55 77
42 40 54 67 73
11 10 49 35 59
12 93 37 15 69
97 41 47 39 2
75 99 21 29 26
23 75 41 10 86
71 67 66 38 99
91 92 63 40 28
69 97 42 77 60
44 53 12 84 57
72 51 31 90 37
35 89 55 73 87
46 32 45 0 58
50 81 13 18 66
38 4 40 62 22
14 48 35 76 83
13 70 26 4 1
30 22 91 93 29
69 41 74 40 63
80 65 66 72 23
23 65 33 56 38
84 41 34 21 2
4 78 27 17 11
22 53 52 32 80
24 25 42 91 99
54 51 0 23 52
92 69 10 46 7
20 35 12 37 73
19 56 26 79 32
27 74 34 5 57
75 10 24 32 7
96 54 22 78 5
23 69 65 43 20
29 85 44 92 71
41 87 73 0 48
54 92 16 36 37
42 59 4 9 44
52 14 12 6 47
57 38 70 82 0
53 81 32 35 3
17 22 62 80 30
8 28 15 42 46
79 64 32 29 75
5 0 9 90 69
41 71 85 1 6
68 89 40 31 39
32 48 64 38 28
80 98 88 14 97
6 60 52 11 55
95 34 63 81 4
80 33 14 83 68
78 69 81 59 15
72 0 74 21 75
49 6 67 73 64
8 25 87 3 45
34 97 86 1 79
49 12 63 10 59
88 30 84 74 87
67 47 26 0 57
71 40 2 76 98
15 89 23 65 44
27 87 54 38 12
43 29 18 39 94
48 0 7 57 61
70 28 60 68 50
13 34 49 67 40
88 74 99 20 26
63 69 62 24 32
35 45 96 79 1
92 7 17 76 30
95 21 75 46 74
39 7 58 23 90
61 64 37 81 82
92 36 54 9 53
17 51 33 10 27
67 35 44 22 23
28 96 1 56 29
0 12 5 50 99
70 42 8 24 25
39 53 51 89 85
50 15 94 84 27
72 26 51 3 85
63 45 1 64 44
17 80 13 88 2
12 97 91 25 18
59 14 9 67 63
6 18 26 98 50
86 74 75 56 34
48 7 99 20 64
8 53 10 15 57
6 35 13 68 24
90 19 91 71 86
95 58 10 44 98
8 41 60 1 16
29 59 43 84 48
48 56 8 74 4
66 30 77 35 90
94 0 75 49 84
5 39 11 54 87
33 58 96 22 2
5 38 57 63 65
74 58 22 8 81
45 96 78 3 11
28 42 30 39 51
87 33 34 75 14
56 34 67 70 17
7 80 10 31 85
68 59 63 74 40
13 81 99 62 6
92 84 71 37 39
85 99 74 16 10
12 21 91 2 83
4 94 38 51 36
41 97 45 65 24
50 82 92 52 35
28 65 6 13 23
7 57 86 18 67
26 85 29 22 89
99 62 94 31 96
14 17 50 56 9
98 10 63 4 8
46 21 58 89 3
27 12 11 55 16
61 38 43 33 54
53 14 99 31 25
25 70 24 40 14
75 82 58 68 41
22 71 72 93 1
47 97 6 81 45
92 42 2 76 12
31 84 30 0 85
55 70 72 45 57
78 52 67 60 22
43 32 8 44 34
14 64 91 89 18
70 19 62 16 56
84 49 41 3 20
85 5 76 95 22
63 55 37 31 72
42 17 28 65 1
85 17 57 62 48
34 29 69 52 28
90 64 54 21 38
0 50 84 44 60
93 80 75 89 83
39 84 78 12 5
29 4 35 7 85
73 25 58 27 45
22 90 91 47 74
60 96 15 24 26
13 30 82 31 43
23 71 1 51 36
40 62 25 54 86
8 83 2 47 34
33 41 27 98 24
13 25 53 50 56
77 4 41 19 22
68 70 75 9 65
30 33 60 74 80
31 83 34 79 11
11 90 38 78 73
17 16 14 37 4
80 68 21 70 92
47 26 81 67 25
10 31 23 41 22
90 62 2 50 79
77 51 8 11 13
32 29 43 88 33
39 34 89 45 23
91 9 6 68 3
62 70 89 27 87
45 65 96 80 29
1 54 90 68 16
72 50 28 95 12
21 71 81 10 60
33 14 60 44 78
6 65 87 11 8
79 21 59 35 19
26 69 67 42 27
25 36 80 10 45
71 24 80 87 56
7 61 43 38 18
52 46 41 28 48
0 74 20 34 63
3 84 42 85 9
36 64 41 7 49
91 92 13 94 88
73 98 79 0 12
76 66 86 67 9
2 85 74 5 34
8 81 7 56 28
36 13 42 29 75
12 27 85 45 9
26 25 62 41 22
79 11 95 0 24
72 76 81 67 16
96 41 94 58 7
0 79 38 27 11
61 36 56 88 39
89 63 31 75 8
62 51 5 46 28
77 97 89 86 13
87 55 73 90 57
84 44 40 49 34
25 0 58 6 21
7 56 15 41 94
42 89 16 18 74
57 79 96 35 3
14 45 20 19 80
87 85 28 69 17
27 88 54 62 65
44 93 69 13 9
85 63 43 11 47
83 57 30 20 56
71 46 49 7 77
45 24 75 39 69
48 74 44 49 64
65 25 22 46 93
88 52 27 37 50
19 35 47 54 67
44 32 71 13 57
7 38 26 98 65
46 1 21 8 55
30 62 92 27 3
69 50 99 85 11
86 6 64 34 97
47 98 7 38 9
26 68 75 92 54
58 42 13 78 37
85 28 81 16 51
82 74 15 4 86
55 0 70 88 24
50 79 63 40 21
47 39 61 49 36
89 16 13 2 37
89 19 9 82 13
84 34 58 56 10
27 92 46 4 94
44 24 52 86 55
39 23 22 99 5
65 92 8 86 77
98 79 72 28 78
16 23 3 55 48
68 95 66 30 43
50 31 15 11 45
32 70 25 59 31
47 68 77 56 23
66 78 54 88 50
55 60 58 89 83
84 99 86 97 95
53 46 1 94 87
8 80 38 77 81
17 51 47 19 69
86 50 71 5 93
61 66 36 58 0
90 58 17 29 92
67 1 8 64 99
63 22 57 19 68
78 36 93 53 2
27 48 62 39 14
8 49 22 90 54
26 4 99 27 34
78 25 11 85 28
31 42 36 53 15
64 75 60 45 35
99 84 26 53 90
61 51 98 39 86
47 37 52 80 63
67 49 35 70 11
32 45 94 73 43
91 92 74 94 32
27 56 50 33 54
67 46 35 25 10
93 97 30 90 4
57 15 69 83 39
71 68 74 81 11
44 98 60 17 73
43 40 32 38 39
61 56 97 94 70
23 2 86 91 54
19 98 93 42 88
0 16 30 32 71
89 86 81 76 68
29 2 14 72 63
7 27 67 59 1
24 18 28 98 95
10 62 80 71 36
3 89 20 63 46
47 65 84 22 6
82 19 81 38 45
54 85 67 34 79
25 58 38 73 61
72 98 4 19 40
32 10 29 31 89
15 33 5 7 63
49 48 71 81 88
70 5 39 41 22
19 20 7 75 23
69 46 63 14 54
80 45 94 6 55
88 62 76 78 95
64 65 36 58 22
7 21 98 93 42
79 99 9 89 10
6 5 33 92 72

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day05/day05.py Executable file
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#!/usr/bin/env python3
from collections import defaultdict
import dataclasses
import sys
from typing import DefaultDict, Generator, Sequence, Tuple
import re
from itertools import repeat
import pprint
SEG_PAT = re.compile(r"(?P<x1>[\d]+),(?P<y1>[\d]+) -> (?P<x2>[\d]+),(?P<y2>[\d]+)")
@dataclasses.dataclass
class Seg:
x1: int
y1: int
x2: int
y2: int
@staticmethod
def from_str(s: str) -> "Seg":
match = SEG_PAT.match(s)
assert match
return Seg(
int(match["x1"]), int(match["y1"]), int(match["x2"]), int(match["y2"])
)
def points(self, diag: bool) -> Generator[Tuple[int, int], None, None]:
if self.x1 == self.x2:
# We're going up and down
if self.y1 > self.y2:
lo = self.y2
hi = self.y1
else:
lo = self.y1
hi = self.y2
yield from zip(repeat(self.x1), range(lo, hi + 1))
elif self.y1 == self.y2:
# We're going side to side
if self.x1 > self.x2:
lo = self.x2
hi = self.x1
else:
lo = self.x1
hi = self.x2
yield from zip(range(lo, hi + 1), repeat(self.y1))
elif diag:
# Figure out the slope
if self.x1 > self.x2:
# right to left
lox = self.x2
hix = self.x1
loy = self.y2
hiy = self.y1
else:
lox = self.x1
hix = self.x2
loy = self.y1
hiy = self.y2
slope = float(hiy - loy) / float(hix - lox)
yf = float(loy)
for x in range(lox, hix + 1):
yield (x, int(yf))
yf += slope
else:
# No support for diagonals
return None
def part1(segments: Sequence[Seg]):
# Create a counting dict, we can probably avoid the matrix stuff
points: DefaultDict[Tuple[int, int], int] = defaultdict(lambda: 0)
for seg in segments:
for point in seg.points(diag=False):
points[point] += 1
# Figure out how many locations where at least 2 lines overlap
count = len([overlap for overlap in points.values() if overlap > 1])
print(f"{count} overlaps >1")
def part2(segments: Sequence[Seg]):
# Create a counting dict, we can probably avoid the matrix stuff
points: DefaultDict[Tuple[int, int], int] = defaultdict(lambda: 0)
for seg in segments:
for point in seg.points(diag=True):
points[point] += 1
# Figure out how many locations where at least 2 lines overlap
count = len([overlap for overlap in points.values() if overlap > 1])
print(f"{count} overlaps >1")
segments = [Seg.from_str(line) for line in sys.stdin]
print("Part 1")
part1(segments)
print("Part 2")
part2(segments)

10
day05/example.txt Normal file
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0,9 -> 5,9
8,0 -> 0,8
9,4 -> 3,4
2,2 -> 2,1
7,0 -> 7,4
6,4 -> 2,0
0,9 -> 2,9
3,4 -> 1,4
0,0 -> 8,8
5,5 -> 8,2

500
day05/input.txt Normal file
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@@ -0,0 +1,500 @@
419,207 -> 419,109
300,888 -> 803,385
104,959 -> 457,959
987,951 -> 987,385
173,602 -> 919,602
173,70 -> 305,70
341,19 -> 486,19
128,579 -> 128,100
210,867 -> 969,867
880,493 -> 880,58
937,831 -> 131,25
520,921 -> 476,965
760,147 -> 461,147
646,108 -> 646,27
99,906 -> 99,591
19,956 -> 19,273
89,201 -> 326,201
275,948 -> 962,261
292,489 -> 689,489
674,109 -> 20,763
861,861 -> 529,529
155,200 -> 273,200
628,803 -> 209,384
654,401 -> 578,325
723,625 -> 828,730
137,406 -> 862,406
893,45 -> 41,897
631,10 -> 941,320
618,435 -> 537,435
939,29 -> 30,938
505,796 -> 505,244
799,779 -> 77,779
938,576 -> 427,576
522,635 -> 405,518
244,89 -> 946,89
447,791 -> 316,660
560,731 -> 687,731
16,878 -> 835,59
45,707 -> 45,565
767,166 -> 404,529
791,260 -> 791,950
373,949 -> 373,156
38,774 -> 38,557
445,537 -> 445,370
817,756 -> 959,898
472,551 -> 952,71
696,381 -> 657,420
43,829 -> 43,190
101,635 -> 728,635
197,532 -> 140,532
693,368 -> 299,368
433,140 -> 433,610
136,58 -> 136,666
472,294 -> 886,294
690,883 -> 671,864
141,598 -> 141,118
56,651 -> 56,957
747,82 -> 747,91
219,455 -> 55,291
444,131 -> 444,802
326,459 -> 528,661
245,965 -> 143,965
916,316 -> 630,316
263,55 -> 977,769
262,451 -> 587,451
960,178 -> 960,564
960,88 -> 476,572
314,259 -> 314,169
404,742 -> 429,742
830,921 -> 409,921
181,396 -> 463,678
338,293 -> 23,608
851,667 -> 851,350
181,859 -> 718,322
314,240 -> 870,796
778,984 -> 77,283
476,178 -> 440,178
935,357 -> 841,263
695,683 -> 414,964
760,241 -> 306,241
390,355 -> 791,355
460,710 -> 851,710
559,448 -> 870,448
161,526 -> 301,386
935,495 -> 633,193
205,536 -> 383,536
290,626 -> 290,94
55,972 -> 946,81
240,531 -> 631,922
189,806 -> 573,806
518,827 -> 866,479
239,829 -> 260,829
151,51 -> 849,51
301,736 -> 532,736
23,889 -> 336,889
284,124 -> 284,933
637,610 -> 67,40
610,828 -> 610,159
763,590 -> 763,963
804,576 -> 804,694
689,872 -> 82,265
440,377 -> 190,127
933,330 -> 310,953
873,99 -> 873,328
756,808 -> 860,808
119,64 -> 928,873
74,144 -> 489,559
957,938 -> 838,938
148,320 -> 932,320
386,171 -> 386,985
357,171 -> 494,171
254,67 -> 254,95
196,910 -> 827,910
107,114 -> 758,114
971,40 -> 801,40
504,602 -> 215,891
184,310 -> 720,846
280,300 -> 955,975
49,637 -> 49,572
352,512 -> 739,899
610,123 -> 585,123
808,881 -> 758,881
646,980 -> 818,980
948,482 -> 384,482
115,144 -> 852,881
506,836 -> 547,836
985,369 -> 374,980
883,975 -> 48,975
447,664 -> 312,799
24,597 -> 24,331
45,19 -> 979,953
210,689 -> 210,430
704,806 -> 704,612
985,982 -> 124,121
70,174 -> 550,174
463,12 -> 637,12
107,97 -> 716,97
935,265 -> 390,810
42,223 -> 42,86
60,245 -> 60,473
695,735 -> 208,735
547,265 -> 802,265
941,667 -> 941,806
250,286 -> 611,286
10,64 -> 630,64
482,889 -> 482,150
441,820 -> 776,820
529,474 -> 529,265
533,465 -> 217,149
242,473 -> 242,830
633,160 -> 476,317
942,24 -> 942,784
80,313 -> 92,325
295,109 -> 295,712
31,964 -> 857,138
285,255 -> 955,925
650,610 -> 650,366
722,586 -> 625,586
580,384 -> 580,531
78,407 -> 896,407
296,310 -> 730,744
717,966 -> 924,966
524,551 -> 524,671
44,127 -> 784,867
214,849 -> 238,849
749,320 -> 749,241
886,146 -> 336,696
889,933 -> 455,499
644,232 -> 79,797
400,979 -> 626,979
433,681 -> 433,523
447,57 -> 676,57
185,416 -> 659,890
849,645 -> 257,53
633,721 -> 633,901
766,355 -> 766,56
669,393 -> 669,523
833,336 -> 833,58
52,114 -> 52,413
699,957 -> 109,957
14,953 -> 945,22
641,15 -> 929,303
25,874 -> 866,33
856,73 -> 28,901
94,892 -> 592,892
256,357 -> 256,700
960,579 -> 31,579
940,859 -> 940,987
507,673 -> 820,986
164,361 -> 133,361
210,424 -> 876,424
28,186 -> 28,376
452,149 -> 531,149
142,160 -> 142,435
180,801 -> 180,439
681,267 -> 42,267
724,414 -> 786,476
762,492 -> 762,427
902,808 -> 227,133
70,923 -> 821,172
468,12 -> 457,12
208,129 -> 986,907
78,786 -> 78,352
573,869 -> 820,869
780,680 -> 520,940
276,66 -> 276,244
423,629 -> 592,629
888,507 -> 888,139
869,878 -> 869,951
274,614 -> 625,965
926,289 -> 982,233
102,687 -> 102,214
52,264 -> 52,12
904,43 -> 657,43
184,685 -> 184,628
506,912 -> 601,817
356,524 -> 87,524
202,260 -> 202,276
970,63 -> 83,950
402,332 -> 950,880
195,666 -> 843,666
13,82 -> 892,961
614,28 -> 614,871
892,162 -> 892,101
363,665 -> 59,665
768,208 -> 410,208
483,300 -> 295,300
590,108 -> 881,108
837,967 -> 837,326
368,731 -> 368,913
900,921 -> 873,921
896,931 -> 848,979
562,939 -> 857,939
85,351 -> 598,351
917,30 -> 624,30
605,314 -> 605,303
382,655 -> 340,697
949,115 -> 653,115
667,311 -> 370,608
971,983 -> 39,51
178,687 -> 178,69
906,197 -> 296,807
947,886 -> 383,322
551,667 -> 551,238
86,65 -> 916,895
589,887 -> 865,611
332,53 -> 84,53
361,148 -> 55,148
883,205 -> 661,205
415,552 -> 52,552
46,42 -> 46,952
955,13 -> 39,929
677,482 -> 208,482
414,268 -> 927,268
101,509 -> 101,149
946,971 -> 139,164
223,597 -> 223,517
805,896 -> 796,896
565,875 -> 878,875
472,431 -> 472,732
643,15 -> 643,202
618,725 -> 618,284
376,532 -> 376,120
807,981 -> 415,981
716,401 -> 61,401
893,955 -> 743,805
264,935 -> 264,677
586,908 -> 638,908
780,277 -> 780,418
234,410 -> 428,410
899,214 -> 899,703
948,51 -> 948,509
238,664 -> 879,23
20,877 -> 638,877
146,738 -> 109,738
670,893 -> 524,893
317,423 -> 27,713
91,600 -> 477,986
902,63 -> 902,797
647,839 -> 647,667
227,358 -> 236,349
985,541 -> 660,866
86,562 -> 86,949
368,851 -> 863,356
327,905 -> 57,635
561,275 -> 781,495
196,65 -> 626,65
110,688 -> 720,78
720,472 -> 115,472
817,135 -> 817,876
752,387 -> 752,104
78,127 -> 635,684
812,170 -> 155,170
606,718 -> 804,916
843,494 -> 979,494
919,346 -> 454,346
866,828 -> 818,828
114,115 -> 114,250
895,308 -> 370,308
665,893 -> 690,893
939,275 -> 741,275
290,321 -> 290,910
747,327 -> 107,967
734,715 -> 391,372
368,497 -> 506,359
773,945 -> 391,563
772,537 -> 733,537
271,679 -> 488,679
665,745 -> 665,984
143,177 -> 685,719
671,860 -> 147,860
674,365 -> 857,182
343,74 -> 985,716
284,46 -> 180,46
595,800 -> 20,225
57,278 -> 792,278
649,285 -> 165,769
600,24 -> 600,116
862,939 -> 862,871
153,917 -> 682,388
117,884 -> 257,884
726,763 -> 531,763
810,985 -> 899,985
718,942 -> 718,466
674,19 -> 674,203
117,677 -> 117,918
928,261 -> 928,945
719,390 -> 719,321
822,601 -> 484,263
725,793 -> 725,111
201,745 -> 588,745
404,889 -> 908,385
981,39 -> 610,410
148,426 -> 711,989
128,260 -> 319,451
325,306 -> 325,585
557,415 -> 557,745
915,101 -> 648,101
104,636 -> 104,520
93,964 -> 641,416
201,709 -> 201,90
921,571 -> 798,571
313,624 -> 313,510
343,649 -> 28,649
688,246 -> 24,910
696,610 -> 353,610
126,310 -> 126,394
457,98 -> 457,981
277,707 -> 277,531
943,721 -> 37,721
959,295 -> 702,295
23,547 -> 891,547
209,114 -> 931,836
737,174 -> 737,195
208,890 -> 115,797
170,401 -> 726,401
11,218 -> 11,297
989,10 -> 10,989
866,86 -> 487,86
867,31 -> 867,334
846,414 -> 861,414
478,315 -> 478,697
572,843 -> 731,843
657,12 -> 161,508
903,194 -> 142,955
612,321 -> 147,786
813,920 -> 259,920
834,389 -> 651,206
824,153 -> 824,557
399,871 -> 115,871
270,785 -> 270,120
469,640 -> 753,640
620,132 -> 620,175
620,234 -> 666,234
594,409 -> 948,55
670,323 -> 670,89
262,65 -> 262,379
879,617 -> 284,22
493,423 -> 761,423
17,931 -> 906,42
512,494 -> 473,494
122,230 -> 122,87
15,207 -> 533,207
216,183 -> 50,183
360,107 -> 280,107
403,841 -> 941,841
913,442 -> 500,29
864,947 -> 864,85
500,516 -> 634,382
283,20 -> 669,20
916,770 -> 176,30
966,73 -> 252,787
847,841 -> 171,165
163,219 -> 766,219
482,515 -> 275,308
528,949 -> 240,949
725,574 -> 847,696
109,131 -> 109,538
655,837 -> 476,837
803,631 -> 803,51
977,83 -> 149,911
207,231 -> 171,231
617,29 -> 617,294
838,708 -> 446,708
711,597 -> 612,498
975,942 -> 279,246
315,128 -> 315,293
146,962 -> 873,235
448,180 -> 54,180
177,680 -> 866,680
891,265 -> 741,265
656,949 -> 414,949
909,456 -> 196,456
574,286 -> 58,286
861,691 -> 861,383
779,351 -> 779,827
459,989 -> 459,350
936,480 -> 936,699
645,309 -> 348,606
861,62 -> 621,302
568,324 -> 568,358
889,221 -> 889,335
538,759 -> 538,266
780,736 -> 780,827
866,518 -> 983,401
67,871 -> 840,98
432,664 -> 664,664
146,24 -> 755,24
964,585 -> 964,770
372,144 -> 809,144
688,827 -> 867,827
137,916 -> 137,942
846,131 -> 846,46
764,21 -> 457,328
140,66 -> 799,725
703,224 -> 83,844
557,67 -> 557,681
355,544 -> 764,135
625,893 -> 126,394
842,214 -> 842,322
582,778 -> 582,762
341,861 -> 341,859
143,767 -> 52,858
114,109 -> 114,200
394,210 -> 396,212
861,353 -> 861,652
873,553 -> 62,553
44,962 -> 984,22
734,56 -> 734,828
798,516 -> 950,516
367,755 -> 367,618
868,637 -> 868,780
192,952 -> 192,734
603,109 -> 705,211
12,17 -> 984,989
910,147 -> 910,620
515,749 -> 515,517
775,136 -> 761,150
662,636 -> 662,21
894,490 -> 310,490
956,732 -> 297,73
514,99 -> 140,99
308,419 -> 691,419
485,86 -> 485,187
737,783 -> 979,783
90,76 -> 869,855
959,112 -> 84,112
879,494 -> 879,257
933,425 -> 933,619
64,391 -> 64,21
106,305 -> 253,452
324,152 -> 853,152
666,225 -> 39,852
370,904 -> 257,791
592,845 -> 592,15
936,971 -> 267,302
147,210 -> 62,210
308,323 -> 495,323
212,918 -> 110,918
229,392 -> 685,848
896,132 -> 326,702
483,143 -> 605,265
251,317 -> 130,317
758,93 -> 445,93
156,286 -> 458,286
401,904 -> 383,904
244,256 -> 851,256
928,411 -> 612,411
642,920 -> 642,420
494,707 -> 494,225
87,112 -> 87,256
972,907 -> 83,18
139,104 -> 139,761
493,725 -> 493,529
981,145 -> 459,667
390,240 -> 702,240
466,982 -> 807,982
320,143 -> 692,515
477,649 -> 477,206
456,254 -> 456,578

47
day06/day06.py Executable file
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@@ -0,0 +1,47 @@
#!/usr/bin/env python3
import sys
from typing import Sequence
from copy import deepcopy
def part1(fish: Sequence[int], count: int):
for i in range(count):
new = []
for f in fish:
if f == 0:
new += [8]
f = 7
f -= 1
new += [f]
fish = new
print(len(fish))
def part2(init: Sequence[int], count: int):
# This is a mapping for the number of fish by index, 0-8
fish = [0] * 9
for i in init:
fish[i] += 1
# Go through each day, rotating everything to the left
for _ in range(count):
zeroes = fish[0]
# rotate
for i in range(1, len(fish)):
fish[i - 1] = fish[i]
# position 8
fish[len(fish) - 1] = zeroes
# position 6
fish[len(fish) - 3] += zeroes
print(sum(fish))
fish = [int(state) for state in sys.stdin.readline().strip().split(",") if state]
print("Part 1 (80 days)")
# part1(fish, 80)
# Part 2 function does the same thing except much faster
part2(fish, 80)
print(len(fish))
print("Part 2 (256 days)")
part2(fish, 256)

1
day06/example.txt Normal file
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@@ -0,0 +1 @@
3,4,3,1,2

1
day06/input.txt Normal file
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@@ -0,0 +1 @@
1,3,3,4,5,1,1,1,1,1,1,2,1,4,1,1,1,5,2,2,4,3,1,1,2,5,4,2,2,3,1,2,3,2,1,1,4,4,2,4,4,1,2,4,3,3,3,1,1,3,4,5,2,5,1,2,5,1,1,1,3,2,3,3,1,4,1,1,4,1,4,1,1,1,1,5,4,2,1,2,2,5,5,1,1,1,1,2,1,1,1,1,3,2,3,1,4,3,1,1,3,1,1,1,1,3,3,4,5,1,1,5,4,4,4,4,2,5,1,1,2,5,1,3,4,4,1,4,1,5,5,2,4,5,1,1,3,1,3,1,4,1,3,1,2,2,1,5,1,5,1,3,1,3,1,4,1,4,5,1,4,5,1,1,5,2,2,4,5,1,3,2,4,2,1,1,1,2,1,2,1,3,4,4,2,2,4,2,1,4,1,3,1,3,5,3,1,1,2,2,1,5,2,1,1,1,1,1,5,4,3,5,3,3,1,5,5,4,4,2,1,1,1,2,5,3,3,2,1,1,1,5,5,3,1,4,4,2,4,2,1,1,1,5,1,2,4,1,3,4,4,2,1,4,2,1,3,4,3,3,2,3,1,5,3,1,1,5,1,2,2,4,4,1,2,3,1,2,1,1,2,1,1,1,2,3,5,5,1,2,3,1,3,5,4,2,1,3,3,4