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Andrew 2023-03-26 14:48:47 +07:00
commit 2773df212e
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{
"cells": [
{
"cell_type": "markdown",
"id": "335e32f0-2c5a-4f77-84dd-66c2266e6312",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "42055a53-b495-4615-bdb4-eaddd9380e92",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"72602"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc1_input.txt\", \"r\") as f:\n",
" elves_raw = f.read().split(\"\\n\\n\")\n",
" elves = map(lambda x: sum(map(int, x.split(\"\\n\"))), elves_raw)\n",
" most_calories = max(elves)\n",
"\n",
"most_calories"
]
},
{
"cell_type": "markdown",
"id": "4523a59c-06bb-4214-a9ce-143885257bb4",
"metadata": {},
"source": [
"### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "614216a4-bbe9-40e9-a4b1-108e85946186",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"207410"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc1_input.txt\", \"r\") as f:\n",
" elves_raw = f.read().split(\"\\n\\n\")\n",
" elves = map(lambda x: sum(map(int, x.split(\"\\n\"))), elves_raw)\n",
" top_3_calories = sum(sorted(elves)[-3:])\n",
"\n",
"top_3_calories"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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{
"cells": [
{
"cell_type": "markdown",
"id": "6da7f724-829d-4ce7-ba59-42ac322d072b",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "6b0efa14-33f7-48fe-bed9-1079fdaca7b5",
"metadata": {},
"outputs": [],
"source": [
"score_from_shape = {\n",
" \"X\": 1, # Rock\n",
" \"Y\": 2, # Paper\n",
" \"Z\": 3, # Scissors\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "b9d1cb75-2a68-4593-8967-b757dbf28ff3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"13446"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc2_input.txt\") as f:\n",
" score = 0\n",
" for game in f:\n",
" score += score_from_shape[game.split()[1]]\n",
" match game.strip():\n",
" case \"A Y\" | \"B Z\" | \"C X\":\n",
" score += 6\n",
" case \"A X\" | \"B Y\" | \"C Z\":\n",
" score += 3\n",
" case _:\n",
" score += 0\n",
" \n",
"score"
]
},
{
"cell_type": "markdown",
"id": "910b30ba-03e9-41cb-af02-281623ef50ce",
"metadata": {},
"source": [
"### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4893b160-0d7e-4833-b629-99f54ba07abf",
"metadata": {},
"outputs": [],
"source": [
"highest_loose = {\n",
" \"A\": 3, # Rock -> Scissors\n",
" \"B\": 1, # Paper -> Rock\n",
" \"C\": 2, # Scissors -> Paper\n",
"}\n",
"\n",
"opponent_matching = {\n",
" \"A\": 1, # Rock\n",
" \"B\": 2, # Paper\n",
" \"C\": 3, # Scissors\n",
"}\n",
"\n",
"highest_win = {\n",
" \"A\": 2, # Rock -> Paper\n",
" \"B\": 3, # Paper -> Scissors\n",
" \"C\": 1, # Scissors -> Rock\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "cb35d20f-987e-4d40-86bc-38e5504eb7ae",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"13509"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc2_input.txt\") as f:\n",
" score = 0\n",
" for game in f:\n",
" opponent, strategy = game.split()\n",
" match strategy:\n",
" case \"X\":\n",
" score += 0 + highest_loose[opponent]\n",
" case \"Y\":\n",
" score += 3 + opponent_matching[opponent]\n",
" case \"Z\":\n",
" score += 6 + highest_win[opponent]\n",
" case _:\n",
" score += 0\n",
" \n",
"score"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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{
"cells": [
{
"cell_type": "markdown",
"id": "297093bf-b2ad-4645-935b-b2adea775c55",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "129613b8-f732-4f41-a745-edf2c979b213",
"metadata": {},
"outputs": [],
"source": [
"def item_priority(item: str) -> int:\n",
" if item.isupper():\n",
" return ord(item) - 38\n",
" else:\n",
" return ord(item) - 96\n",
"\n",
"def string_halves(string: str) -> [str, str]:\n",
" length = int(len(string) / 2)\n",
" first_part = string[:length]\n",
" second_part = string[length:]\n",
" return first_part, second_part"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "069cad24-9cd2-4d1a-bfa5-f265fa578909",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"7795"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc3_input.txt\", \"r\") as f:\n",
" sum_priority = 0\n",
" for rucksack in f:\n",
" comp1, comp2 = map(set, string_halves(rucksack.strip()))\n",
" intrsct = comp1.intersection(comp2)\n",
" sum_priority += sum(map(item_priority, intrsct))\n",
"\n",
"sum_priority"
]
},
{
"cell_type": "markdown",
"id": "86d642f4-2504-42c0-a703-2dc063810a2c",
"metadata": {},
"source": [
"### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "921090d1-2d2b-4161-aad2-23af1b358645",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2703"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc3_input.txt\", \"r\") as f:\n",
" sum_badge_priority = 0\n",
" for r1 in f:\n",
" r1 = set(r1.strip())\n",
" r2, r3 = set(next(f).strip()), set(next(f).strip())\n",
" sum_badge_priority += sum(map(item_priority, r1.intersection(r2).intersection(r3)))\n",
"\n",
"sum_badge_priority"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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HbbbcpTHHMMqNTCddCVBQvgPzJPJWQBQjvpBvQ
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HPTzRPffJJNzjCFpDWDz
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123
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{
"cells": [
{
"cell_type": "markdown",
"id": "298d175e-fe20-4d97-8d3c-5b77b045a33a",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "aed8a1d4-93f0-4bb8-9810-a20b1113ff1f",
"metadata": {},
"outputs": [],
"source": [
"def range_contains_range(range1, range2):\n",
" return range1.start in range2 and range1.stop in range2"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "2385899f-2a65-467e-8abf-2d7fa90aba84",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"532"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc4_input.txt\", \"r\") as f:\n",
" fully_contains_count = 0\n",
" for assignment_pair in f:\n",
" match list(map(lambda x: list(map(int, x.split(\"-\"))), assignment_pair.strip().split(\",\"))):\n",
" case [[fa1, fa2], [sa1, sa2]]:\n",
" r1, r2 = range(fa1, fa2), range(sa1, sa2)\n",
" c = int(range_contains_range(r1, range(sa1, sa2+1)) or range_contains_range(r2, range(fa1, fa2+1)))\n",
" fully_contains_count += c\n",
"\n",
"fully_contains_count"
]
},
{
"cell_type": "markdown",
"id": "5886c69c-229a-45f6-b31e-556b55b1bbec",
"metadata": {},
"source": [
"### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "c567162f-8ef0-47c1-ba17-84bf667b3496",
"metadata": {},
"outputs": [],
"source": [
"def range_overlap_range(range1, range2):\n",
" return range1.start in range2 or range1.stop in range2"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "f3142767-65a1-4bf0-a64d-83ef53711e20",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"854"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc4_input.txt\", \"r\") as f:\n",
" overlapping_ranges_count = 0\n",
" for assignment_pair in f:\n",
" match list(map(lambda x: list(map(int, x.split(\"-\"))), assignment_pair.strip().split(\",\"))):\n",
" case [[fa1, fa2], [sa1, sa2]]:\n",
" r1, r2 = range(fa1, fa2), range(sa1, sa2)\n",
" c = int(range_overlap_range(r1, range(sa1, sa2+1)) or range_overlap_range(r2, range(fa1, fa2+1)))\n",
" overlapping_ranges_count += c\n",
"\n",
"overlapping_ranges_count"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

1000
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133
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{
"cells": [
{
"cell_type": "markdown",
"id": "a19b0da1-9ac5-4d7f-9957-6268d3536564",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "dc5032e6-5ad2-4b32-8a58-29679cfba227",
"metadata": {},
"outputs": [],
"source": [
"def split_def_in_sectors(line):\n",
" for i in range(0, len(line), 4):\n",
" yield line[i:i+3].strip()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"id": "cdccaa3e-0aaf-4e0a-8171-179f90c65bb6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'VQZNJMWTR'"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc5_input.txt\", \"r\") as f:\n",
" line = next(f).rstrip(\"\\n\")\n",
" stacks = [[] for _ in range((len(line) + 1) // 4)]\n",
" while \"[\" in line:\n",
" for i, e in enumerate(split_def_in_sectors(line)):\n",
" if e:\n",
" stacks[i].append(e[1])\n",
" line = next(f).rstrip(\"\\n\")\n",
" next(f)\n",
" for stack in stacks:\n",
" stack.reverse()\n",
" for cmd in f:\n",
" match cmd.split():\n",
" case [\"move\", amount, \"from\", pos, \"to\", newpos]:\n",
" amount, pos, newpos = int(amount), int(pos)-1, int(newpos)-1\n",
" stack_left, stack_right = stacks[pos][:-amount], reversed(stacks[pos][-amount:])\n",
" stacks[pos] = stack_left\n",
" stacks[newpos] += stack_right\n",
"\n",
"\"\".join(stack[-1] for stack in stacks)"
]
},
{
"cell_type": "markdown",
"id": "b9df4a1d-f7ec-406c-870d-e5a7269ccf0c",
"metadata": {},
"source": [
"### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 61,
"id": "55ade032-7a23-4e6e-a984-71f0e452b224",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'NLCDCLVMQ'"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc5_input.txt\", \"r\") as f:\n",
" line = next(f).rstrip(\"\\n\")\n",
" stacks = [[] for _ in range((len(line) + 1) // 4)]\n",
" while \"[\" in line:\n",
" for i, e in enumerate(split_def_in_sectors(line)):\n",
" if e:\n",
" stacks[i].append(e[1])\n",
" line = next(f).rstrip(\"\\n\")\n",
" next(f)\n",
" for stack in stacks:\n",
" stack.reverse()\n",
" for cmd in f:\n",
" match cmd.split():\n",
" case [\"move\", amount, \"from\", pos, \"to\", newpos]:\n",
" amount, pos, newpos = int(amount), int(pos)-1, int(newpos)-1\n",
" stack_left, stack_right = stacks[pos][:-amount], stacks[pos][-amount:]\n",
" stacks[pos] = stack_left\n",
" stacks[newpos] += stack_right\n",
"\n",
"\"\".join(stack[-1] for stack in stacks)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

511
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[L] [M] [M]
[D] [R] [Z] [C] [L]
[C] [S] [T] [G] [V] [M]
[R] [L] [Q] [B] [B] [D] [F]
[H] [B] [G] [D] [Q] [Z] [T] [J]
[M] [J] [H] [M] [P] [S] [V] [L] [N]
[P] [C] [N] [T] [S] [F] [R] [G] [Q]
[Z] [P] [S] [F] [F] [T] [N] [P] [W]
1 2 3 4 5 6 7 8 9
move 7 from 3 to 9
move 5 from 8 to 9
move 3 from 9 to 5
move 6 from 9 to 2
move 9 from 9 to 3
move 3 from 7 to 3
move 8 from 2 to 3
move 9 from 3 to 1
move 11 from 3 to 8
move 5 from 6 to 9
move 1 from 6 to 3
move 1 from 2 to 7
move 1 from 4 to 8
move 1 from 3 to 9
move 4 from 4 to 3
move 6 from 8 to 3
move 2 from 8 to 2
move 4 from 9 to 3
move 3 from 2 to 5
move 2 from 5 to 4
move 5 from 3 to 4
move 11 from 1 to 4
move 1 from 7 to 6
move 1 from 3 to 5
move 2 from 1 to 9
move 1 from 1 to 4
move 7 from 5 to 8
move 21 from 4 to 6
move 6 from 6 to 2
move 6 from 8 to 9
move 5 from 8 to 5
move 2 from 2 to 7
move 4 from 3 to 7
move 1 from 2 to 6
move 1 from 2 to 5
move 2 from 2 to 7
move 4 from 3 to 7
move 1 from 4 to 6
move 9 from 5 to 3
move 7 from 3 to 4
move 7 from 7 to 3
move 7 from 4 to 1
move 8 from 3 to 5
move 1 from 3 to 5
move 3 from 8 to 2
move 2 from 2 to 9
move 13 from 9 to 4
move 5 from 5 to 3
move 4 from 7 to 6
move 1 from 7 to 4
move 2 from 4 to 2
move 3 from 3 to 4
move 2 from 5 to 2
move 6 from 1 to 7
move 1 from 2 to 8
move 1 from 3 to 8
move 1 from 1 to 6
move 1 from 3 to 4
move 1 from 2 to 6
move 24 from 6 to 1
move 3 from 2 to 3
move 3 from 3 to 5
move 2 from 8 to 6
move 2 from 5 to 4
move 3 from 5 to 1
move 7 from 4 to 8
move 3 from 8 to 9
move 2 from 9 to 5
move 2 from 6 to 3
move 1 from 9 to 8
move 5 from 7 to 5
move 2 from 3 to 1
move 1 from 7 to 1
move 7 from 4 to 7
move 2 from 4 to 8
move 6 from 8 to 6
move 3 from 6 to 9
move 10 from 5 to 1
move 7 from 7 to 1
move 1 from 4 to 9
move 1 from 6 to 3
move 2 from 9 to 7
move 1 from 4 to 2
move 1 from 9 to 5
move 1 from 8 to 5
move 39 from 1 to 8
move 1 from 2 to 5
move 2 from 6 to 9
move 3 from 9 to 5
move 3 from 1 to 6
move 1 from 7 to 2
move 1 from 3 to 2
move 2 from 6 to 2
move 3 from 2 to 3
move 1 from 6 to 2
move 1 from 1 to 8
move 3 from 1 to 2
move 3 from 2 to 4
move 2 from 4 to 5
move 2 from 3 to 8
move 8 from 5 to 2
move 8 from 8 to 2
move 15 from 2 to 7
move 1 from 1 to 5
move 25 from 8 to 7
move 2 from 2 to 4
move 2 from 4 to 3
move 1 from 8 to 4
move 2 from 4 to 6
move 1 from 2 to 1
move 26 from 7 to 2
move 15 from 2 to 1
move 7 from 8 to 9
move 10 from 1 to 6
move 10 from 7 to 2
move 1 from 8 to 1
move 5 from 9 to 8
move 1 from 8 to 9
move 2 from 6 to 9
move 3 from 7 to 1
move 1 from 7 to 1
move 5 from 9 to 2
move 1 from 3 to 1
move 9 from 6 to 3
move 1 from 6 to 1
move 4 from 2 to 4
move 3 from 4 to 8
move 1 from 4 to 1
move 9 from 3 to 1
move 1 from 7 to 6
move 9 from 2 to 5
move 14 from 1 to 6
move 1 from 3 to 8
move 5 from 2 to 6
move 8 from 1 to 8
move 6 from 6 to 8
move 14 from 6 to 7
move 1 from 1 to 7
move 10 from 5 to 4
move 11 from 8 to 5
move 15 from 7 to 1
move 4 from 5 to 6
move 4 from 8 to 9
move 6 from 5 to 3
move 1 from 6 to 9
move 1 from 1 to 6
move 1 from 5 to 8
move 2 from 6 to 2
move 6 from 1 to 5
move 1 from 5 to 8
move 2 from 5 to 4
move 9 from 2 to 9
move 13 from 9 to 8
move 1 from 2 to 1
move 1 from 4 to 8
move 3 from 3 to 1
move 2 from 4 to 5
move 2 from 1 to 5
move 1 from 9 to 3
move 17 from 8 to 1
move 3 from 3 to 2
move 4 from 5 to 1
move 2 from 2 to 4
move 1 from 6 to 1
move 1 from 2 to 8
move 4 from 4 to 6
move 1 from 5 to 9
move 5 from 6 to 8
move 1 from 5 to 4
move 1 from 5 to 6
move 3 from 8 to 6
move 8 from 4 to 5
move 32 from 1 to 7
move 11 from 7 to 6
move 8 from 5 to 3
move 3 from 8 to 7
move 6 from 3 to 9
move 4 from 3 to 8
move 5 from 8 to 2
move 1 from 8 to 5
move 11 from 6 to 3
move 1 from 5 to 2
move 2 from 8 to 6
move 12 from 7 to 8
move 2 from 6 to 2
move 2 from 6 to 4
move 5 from 2 to 5
move 8 from 7 to 2
move 2 from 7 to 1
move 2 from 7 to 6
move 5 from 5 to 4
move 5 from 4 to 7
move 5 from 8 to 2
move 2 from 9 to 7
move 5 from 8 to 4
move 2 from 7 to 3
move 2 from 9 to 3
move 3 from 7 to 9
move 1 from 1 to 8
move 2 from 6 to 1
move 2 from 9 to 8
move 1 from 7 to 8
move 1 from 2 to 5
move 1 from 7 to 9
move 7 from 4 to 3
move 3 from 3 to 6
move 5 from 8 to 6
move 3 from 9 to 5
move 16 from 3 to 1
move 2 from 9 to 1
move 7 from 1 to 8
move 1 from 1 to 2
move 5 from 8 to 2
move 12 from 1 to 4
move 1 from 3 to 5
move 1 from 2 to 9
move 1 from 9 to 4
move 4 from 6 to 5
move 5 from 6 to 1
move 1 from 6 to 5
move 1 from 1 to 4
move 1 from 4 to 7
move 1 from 3 to 7
move 9 from 4 to 6
move 2 from 7 to 8
move 1 from 3 to 4
move 2 from 8 to 9
move 4 from 8 to 4
move 4 from 2 to 8
move 2 from 9 to 7
move 2 from 7 to 8
move 10 from 2 to 4
move 1 from 2 to 1
move 5 from 4 to 7
move 1 from 1 to 3
move 3 from 8 to 7
move 6 from 7 to 2
move 3 from 2 to 7
move 1 from 6 to 7
move 5 from 5 to 8
move 4 from 1 to 3
move 4 from 3 to 1
move 8 from 4 to 2
move 1 from 3 to 2
move 2 from 7 to 2
move 2 from 6 to 3
move 4 from 7 to 2
move 4 from 5 to 7
move 14 from 2 to 7
move 3 from 2 to 1
move 3 from 8 to 2
move 1 from 5 to 7
move 6 from 2 to 4
move 2 from 2 to 7
move 2 from 3 to 6
move 6 from 8 to 2
move 4 from 6 to 4
move 2 from 6 to 9
move 4 from 4 to 2
move 2 from 4 to 8
move 10 from 7 to 2
move 18 from 2 to 6
move 2 from 2 to 6
move 2 from 9 to 2
move 2 from 8 to 5
move 1 from 2 to 9
move 1 from 2 to 9
move 1 from 5 to 7
move 1 from 2 to 6
move 2 from 9 to 2
move 6 from 7 to 3
move 7 from 6 to 8
move 5 from 7 to 2
move 1 from 7 to 4
move 1 from 5 to 7
move 4 from 8 to 7
move 5 from 2 to 3
move 1 from 7 to 5
move 2 from 2 to 8
move 9 from 4 to 3
move 13 from 6 to 8
move 10 from 3 to 1
move 1 from 5 to 2
move 3 from 6 to 8
move 5 from 1 to 2
move 1 from 1 to 8
move 2 from 4 to 3
move 17 from 8 to 6
move 5 from 6 to 3
move 3 from 1 to 2
move 9 from 6 to 5
move 2 from 6 to 8
move 5 from 5 to 9
move 3 from 9 to 8
move 3 from 1 to 3
move 3 from 7 to 5
move 6 from 5 to 8
move 7 from 2 to 4
move 1 from 6 to 3
move 1 from 1 to 5
move 4 from 4 to 5
move 2 from 2 to 9
move 3 from 1 to 3
move 4 from 5 to 8
move 1 from 4 to 5
move 6 from 8 to 7
move 1 from 5 to 2
move 4 from 9 to 2
move 2 from 5 to 9
move 2 from 1 to 8
move 2 from 4 to 9
move 6 from 7 to 5
move 3 from 5 to 2
move 3 from 2 to 5
move 10 from 8 to 3
move 2 from 8 to 5
move 3 from 2 to 5
move 6 from 5 to 1
move 4 from 5 to 6
move 1 from 7 to 5
move 23 from 3 to 7
move 2 from 5 to 9
move 2 from 1 to 5
move 2 from 6 to 3
move 6 from 3 to 1
move 1 from 1 to 7
move 4 from 3 to 1
move 1 from 8 to 5
move 2 from 9 to 2
move 3 from 3 to 8
move 2 from 6 to 8
move 12 from 1 to 3
move 1 from 9 to 7
move 3 from 5 to 9
move 9 from 3 to 8
move 1 from 1 to 7
move 1 from 9 to 4
move 3 from 3 to 6
move 3 from 2 to 1
move 3 from 8 to 6
move 1 from 4 to 2
move 1 from 2 to 9
move 1 from 2 to 7
move 20 from 7 to 5
move 3 from 7 to 3
move 3 from 1 to 3
move 5 from 8 to 1
move 5 from 1 to 5
move 4 from 5 to 2
move 3 from 2 to 6
move 3 from 8 to 7
move 1 from 2 to 6
move 2 from 8 to 6
move 2 from 7 to 5
move 2 from 3 to 6
move 12 from 5 to 1
move 6 from 5 to 7
move 12 from 6 to 8
move 4 from 9 to 3
move 4 from 5 to 8
move 3 from 1 to 5
move 4 from 7 to 4
move 3 from 5 to 9
move 7 from 1 to 6
move 1 from 1 to 3
move 6 from 7 to 6
move 1 from 1 to 3
move 10 from 3 to 6
move 10 from 6 to 2
move 2 from 9 to 5
move 4 from 6 to 5
move 9 from 6 to 1
move 16 from 8 to 7
move 3 from 8 to 7
move 1 from 8 to 1
move 7 from 2 to 1
move 1 from 5 to 9
move 1 from 6 to 1
move 2 from 2 to 1
move 3 from 1 to 4
move 1 from 6 to 8
move 7 from 4 to 1
move 1 from 8 to 2
move 22 from 1 to 8
move 18 from 7 to 9
move 6 from 5 to 2
move 2 from 2 to 7
move 2 from 1 to 5
move 4 from 7 to 6
move 1 from 5 to 6
move 2 from 8 to 2
move 3 from 2 to 6
move 1 from 5 to 6
move 15 from 9 to 6
move 6 from 9 to 5
move 1 from 9 to 8
move 1 from 2 to 9
move 5 from 5 to 9
move 9 from 8 to 6
move 3 from 2 to 7
move 12 from 8 to 9
move 1 from 7 to 5
move 1 from 5 to 7
move 3 from 7 to 1
move 17 from 6 to 3
move 1 from 2 to 6
move 2 from 1 to 4
move 16 from 6 to 4
move 7 from 4 to 6
move 1 from 5 to 7
move 8 from 4 to 5
move 9 from 9 to 8
move 16 from 3 to 7
move 1 from 1 to 5
move 3 from 5 to 1
move 5 from 6 to 2
move 3 from 1 to 7
move 3 from 6 to 7
move 3 from 9 to 3
move 5 from 8 to 5
move 11 from 5 to 7
move 2 from 3 to 7
move 1 from 2 to 1
move 1 from 3 to 6
move 17 from 7 to 9
move 1 from 3 to 2
move 3 from 4 to 6
move 1 from 1 to 2
move 1 from 6 to 4
move 14 from 7 to 6
move 15 from 9 to 6
move 4 from 8 to 7
move 1 from 4 to 7
move 7 from 9 to 5
move 5 from 2 to 9
move 7 from 5 to 1
move 3 from 1 to 7
move 29 from 6 to 4
move 1 from 2 to 4
move 18 from 4 to 2
move 3 from 1 to 4
move 1 from 1 to 7
move 18 from 2 to 4
move 3 from 6 to 5
move 15 from 4 to 1
move 1 from 5 to 1
move 1 from 5 to 4
move 9 from 4 to 1
move 5 from 1 to 3
move 9 from 1 to 5
move 2 from 4 to 3
move 5 from 5 to 6
move 3 from 7 to 9
move 7 from 7 to 5
move 6 from 4 to 6
move 2 from 3 to 7
move 6 from 5 to 8
move 2 from 8 to 4
move 1 from 8 to 9
move 9 from 6 to 2
move 3 from 9 to 3
move 1 from 2 to 1
move 6 from 7 to 4
move 2 from 2 to 8
move 3 from 9 to 5
move 5 from 4 to 8
move 1 from 6 to 9
move 1 from 3 to 1
move 1 from 3 to 4
move 1 from 6 to 5
move 1 from 9 to 3
move 10 from 8 to 7
move 3 from 9 to 2
move 7 from 2 to 4
move 6 from 5 to 7
move 4 from 5 to 8
move 7 from 3 to 2
move 3 from 7 to 1
move 9 from 1 to 5
move 5 from 7 to 9
move 7 from 1 to 4
move 11 from 4 to 2
move 4 from 8 to 3
move 5 from 4 to 7
move 4 from 4 to 1
move 1 from 3 to 6
move 12 from 7 to 4
move 2 from 1 to 8
move 5 from 9 to 7
move 7 from 5 to 6
move 1 from 1 to 4
move 1 from 9 to 8
move 1 from 4 to 7
move 1 from 8 to 9
move 5 from 7 to 9
move 2 from 7 to 5
move 2 from 6 to 3
move 5 from 2 to 7
move 1 from 7 to 8
move 1 from 1 to 6
move 3 from 5 to 1

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{
"cells": [
{
"cell_type": "markdown",
"id": "14be2365-970d-41a2-bc43-000c718aac46",
"metadata": {},
"source": [
"### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "47f56d42-e07f-4fdc-a3a3-0cd97c09bde9",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1238"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc6_input.txt\", \"r\") as f:\n",
" read_str_before_packet = f.read(3)\n",
" while c := f.read(1):\n",
" read_str_before_packet += c\n",
" if len(set(read_str_before_packet[-4:])) == 4:\n",
" break\n",
"\n",
"len(read_str_before_packet)"
]
},
{
"cell_type": "markdown",
"id": "10e8a318-7517-4212-b619-ad1406f144e3",
"metadata": {},
"source": [
"#### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "139b3b21-76a0-49d7-9533-caf170e18cb0",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"3037"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc6_input.txt\", \"r\") as f:\n",
" read_str_before_marker = f.read(13)\n",
" while c := f.read(1):\n",
" read_str_before_marker += c\n",
" if len(set(read_str_before_marker[-14:])) == 14:\n",
" break\n",
"\n",
"len(read_str_before_marker)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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dcbcsbblhhgdgssmcmqccdwdvwdvvcfvcfvvpvmmwccdqddshhdppcfpfbbfggfjfvvhzhmmsqswsttcgtctggjllhnnqbnnnldlglplvlbvbzztpzzvpphshwwfhhgssvgsvvpfvfzznbznndqqtsqttnvtvqqqrgqrrgzzlqzzbvzbzmzffnbfnbffcggdcggqhqpqzpqzqbbqvbqbhhtzhhrrrprlrclrcrssqspqpbblggfvvbpvbbssvttsztzpzjjwffnpnfnrrqhqgqrrzqzbzzdpdjpplpclpptltztjtztqthtmmmpsmmpjpqpvvshhsfshhrvrdvdggwssdbbzbttlmlmpprmrmlrrmqrqsshjhjljzjnjllbbvjvnnppqbppqqfffrbfbdfbbqppmtppfttqddtzzwbblqqbddgwgqwqzwwpzwzjjbccdjdwwrggrmrtmrtmrrvpptwwcdcwwsdshhjjhwjwqjwwqsshrrbsblssphspsjpssnsmsqswqwfwjwccdvccrqqnsqnsnwsnsmnmccvcqqfjjfljfljfjgjffjvffvjvhjhfhrfrlrrtpphbhwbbvmmnpndnlljdjfjsffvccnhchwhddrccljllmnnhmnmpnnhtnthnhvnhnwnqqjmmgzzvssphhjljbjwjbwwdnwwdvvzpvvhccvjjlclrrppgjgsshghvvzjvvpvvbjjqhjqqfcqffchcmmvdvtddftdtppfnppcnpnznwwpdpjpnpttlbbmmqfqmffqnfnbffbrbgbwggsmsbbfgbbfbzbtzbbvmmdlmlrlnlwwbswsjjpjhhwqwzqznqzqvvwccwvwwcbbpvvwcvcvzzhzchzccbnccjlljsjbjdbbvqbvvfdfgdfggzfzlzmzrznnqsnncmnnljjtcjcfftrthtrhrgrvvjggzpggrcrpcppggdfggpmmwnmnlmlglvvmjvvddsmsjsnjssqffffctczcjzjjlbbhpbbfdbdzbbsjbjnjbbqqjbqjbjjhwhssmvsschhhwppbjppllprpjrppdpfpgpjptjtptplpnptnptpjjmcmnnnhnjhjlhjlhjlhlwwhwmwjjbhhlfffrbbgvvqwvwswtstmmmfpmfpffmcfcrrqsqzqjjjnpnnztnznddlwdldsdbssstzstswwjtttmmwmsmwssvswszsjzsjjsffmccmfccqzzvpmbbbsqffgzdqbjtzhlqdzhlpwghlstcrcrffrnbwjnqgmbmpgttfmsswdqctlrpdnlsgnlldvbfpwtcptvbwftzcnbbscrrcpnwtmllcvsrmwzzlsdmfctdcwsqdlsnzgfpmzrnswhbqjhstztzzmzpcttsgsggnlhvjmcbbrhgqhsfmglpcbdvmmmnfbtbfrqbpcmttjtnwvznbshwrmznnsvpjqjntlzspljnbwtjcqztsfcqlrggrpzjgjsvqqcrmrjmzwdsshqfhbtfmlwmfvtbcgdmjgtcnphfmfmjlbjzrvjslccftnwcchgdwjnlthlwgldjwqwgdptdjdmzdrrzcdpbfrtdgcspjtqdqvzswwdwrhggdrqjjgwwrbwhhlrpqmszvlvjfqptncjlscvzbgzgmsttlbhbfrctnsphjcrcwlhcgrcrsjbrjvptgfbjgjrvtzmnhpzcgptbmrgvstsltnctjphsjdwpdqblfswzfhgjbpfrptlmhfwcpdlzqccgtdvbzhwngrhlqftmlhjprscflgzpflvvpfsjmlnmbzsrlrshvnsqrhhlqdlzhrcbjjjfrbqcdspwsmltcrtlbdnbnvhbbwgqdcncsztbfwztzdbqgcrnvndmpstpncbwvtctzdpmcpvrgqvjjztfwpvjtdqlvcvdpfzgcghsmbcwtzztmqwdpsprgsmfhphqsqmflrjdqzjscgzlnvcwcrlmpdscnhqpqjfdbdftqgttwntdbpnshdwnmwsrslfgnzlnwwwqgdbfnthhqtvbzsqgzjhhghtmvvfhlmlpbghnsvlttzsjlgndhdqmqqfdlqnbfscsnnqzcdwzdlqcnstcbsffghftqvwrsshgwmlnprhdnnwslwfwtmtfzdjwpmlvvdhjvdwrhvdsmpgrdpnqsjpqmhttrmdwllrmnbznwjwvvpjnnbnfzbdnhjbqqrnzgdqbspbqtwdpgsbwpzfdbpvzfjpsgmztnzrpvvhwlfscfvfpfblvplgdbhvjjpdjtnwrmvpjsphvglpsntvwtqwqvprcgwjltddpjngvmzfzhmqnnwglbzsbrcztpplpsmgmcfgzgpbtgsjrfvdzzcsthznvdpbwvdlcgdhncsjdvpcbbmtrqczctjljdfghsrvrsfjglqqhjttfdhqdqwhzhqrggsjwlldrntwmmbftgqjhpvvctpbtgltnttlhdqbsbwcqmctwlsnhmhncpmnzsllmjhcgnlfgvpcqrwzvsstgwbvjtnrlbblclzdrcwddrwnptqzgwdwtgrfwffpzjmwbqfmmrcfzfzjbwsslbhggtwtcrlhffzgfgrtljgnznnlgzwfmtwwqzhlthvpfclrtmrqfzrggbctzfsmjhrtwzpfrnhwwprnbwmvwvmvnzqpggmzgslctqbqdtvhgzjwzsnblqzmcpnpwllzhvzzmfqzfjlrsrcnjzqdzbpjftljtzvvmrjszvqllnhhgnrnqttnwlvllphjtnmlwqhcvmbsvnwtcdmhsmhdcwqwtvggcqfpdsrsscmhcvfzvdnffrfhdfmgbsghdbpwdwrdmlvsnzwcfchcqvccszdqrbnfvrpbftcwnjmczwgqzmtlmrthlhtjpmchltcmcqwgfgshtvtpmcmpbmlnjmhnpdsljjmjzddnlgtnjqztzsqqlhtqcscjvjncjvfcvsgjhqgzrmtjjcgvvmwswffmlcvlhqhbvrldrvbrfmmqcnqmfzlsghvclrdbsvcbqspgbzmjnlrdhvncnbcfmdlqrssggsmlwwglcjjzmcdwcnrgvvmgjcfbzlncmgqtllgldbdztbtfcjczqtjjlnpqmrgtjsmrbscvqlgqghfbgwccgwrjrzrsbbrqnjcqhllsqmrjtzmjnndwwmdjfhspjpgdcjjpdvwrsgjcfnpllnnnccvnfvqbpddgvbgbsbczmbzrbclczljdmbhpgmhwlqvnjzjwzzfjmsmcchjrqrtmhwlgjsptctlbtdnrqgntcvngcrqdqptfmhbvlhrqchdtwdwbrbqwtswzcrrfndldwmjbczppzrnncvvqsmpvvqcnsvhprhlmrhnjbwdvrbbwwdtmzrqttschrztgjcshlhfbmhmwrrmwgmfshpdhjwgdmcfdvqrmmwgmzbrlgbfltvlzmvqbgvhppdzglqbdlrhjnntnfvtmzjqccmqdbpjqphfggmjqdrndhclcfvqsjrsbcgdhcrbjsdjmwrzvpfpcjwjfdltztfzgmlzqzmztpvbflppgnhdzssznngfjggczdtdmcczjzfsnflpwqrbggmqdbbprfptzcdqvhrvszzjqqjlrlrdpwcnzhvgfhpcdbbgsfmtnszwbhwcdwdghqqctwqlqrlqbdwfvjnhcpmzchqfrwzhzgslzhncmrlrpzcjczvzwcvwcldbmscfqnnqnwwvrpfvjswqmhgmhgnmfzpsjmdhbpvsftccttvdpcdzcnzswqmtrwbctpbgmzrvrrshjjgdqsqrwfpcmsbvqhccvjqpztlttwjjdtbmwslschpqjjllvjcjwtmrtvvwdzglstvtpndmmzcpgqsvqgfdtqdjdctsbsbmqzqhtczhgqgwbdlrhjrwcmtbzfndsbnpnhmsdhtghwwzvtdwtscdnwzmrjrsrjvvbvrpbszchwbltrjbcqmlhqnzcfbhjqnsjghlnlbsrgzrrzfvslwpbqmgfswhgjdsdfrzsdhvdqvqfbcbvmbfhjfpzwlbspcbnvrgpfnmjbwbsnpqpqhjpsnwrlcmfhpdmjbvpnctcfqgdmwzblsnr

217
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{
"cells": [
{
"cell_type": "markdown",
"id": "34af346b-bcec-4d44-b3d9-4f3fa2caeb14",
"metadata": {},
"source": [
"#### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 121,
"id": "45e4c72c-1ce9-4012-9937-ac0f0d4db3c6",
"metadata": {},
"outputs": [],
"source": [
"from dataclasses import dataclass, field\n",
"from queue import SimpleQueue"
]
},
{
"cell_type": "code",
"execution_count": 122,
"id": "a54cd000-15b6-4257-abe5-000df7ed59c5",
"metadata": {},
"outputs": [],
"source": [
"@dataclass\n",
"class File:\n",
" name: str\n",
" size: int\n",
"\n",
"\n",
"@dataclass\n",
"class Dir:\n",
" name: str\n",
" files: list[File] = field(default_factory=list)\n",
" subdirs: 'list[Dir]' = field(default_factory=list)\n",
" parent: 'Dir' = None\n",
" _cached_size: int = None\n",
" _cached_path: str = None\n",
" \n",
" @property\n",
" def size(self) -> int:\n",
" if self._cached_size is None:\n",
" self._cached_size = 0\n",
" for file in self.files:\n",
" self._cached_size += file.size\n",
" for subdir in self.subdirs:\n",
" self._cached_size += subdir.size\n",
" return self._cached_size\n",
" \n",
" @property\n",
" def path(self) -> str:\n",
" if self._cached_path is None:\n",
" if self.parent is None:\n",
" self._cached_path = self.name\n",
" else:\n",
" self._cached_path = f\"{self.parent.path}{self.name}/\"\n",
" self._cached_path = self._cached_path.replace(\"//\", \"/\")\n",
" return self._cached_path"
]
},
{
"cell_type": "code",
"execution_count": 123,
"id": "6303fecb-3618-493d-b6fb-e9c1858af90e",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('/', 44795677, 1, 8)"
]
},
"execution_count": 123,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with open(\"aoc7_input.txt\", \"r\") as f:\n",
" root = Dir(name=\"/\")\n",
" next(f)\n",
" pwd = root\n",
" for line in f:\n",
" match line.strip().split():\n",
" case [\"$\", \"cd\", \"..\"]:\n",
" pwd = pwd.parent\n",
" case [\"$\", \"cd\", cd]:\n",
" for subdir in pwd.subdirs:\n",
" if subdir.name == cd:\n",
" pwd = subdir\n",
" break\n",
" else:\n",
" raise AttributeError(f\"Folder '{cd}' not found in current dir!\")\n",
" case [\"$\", \"ls\"]:\n",
" ...\n",
" case [\"dir\", dirname]:\n",
" pwd.subdirs.append(Dir(name=dirname, parent=pwd))\n",
" case [filesize, filename]:\n",
" pwd.files.append(File(name=filename, size=int(filesize)))\n",
"\n",
"root.name, root.size, len(root.files), len(root.subdirs)"
]
},
{
"cell_type": "code",
"execution_count": 124,
"id": "8ed82a45-dd7c-4a8f-b087-bc741148da47",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1391690"
]
},
"execution_count": 124,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"traversible, traversed, requested = SimpleQueue(), set(), []\n",
"traversible.put(root)\n",
"\n",
"while not traversible.empty():\n",
" dir: Dir = traversible.get()\n",
" if dir.path in traversed:\n",
" continue\n",
" if dir.size <= 100000:\n",
" requested.append(dir)\n",
" for subdir in dir.subdirs:\n",
" traversible.put(subdir)\n",
" traversed.add(dir.path)\n",
"\n",
"cumm_sum = sum(map(lambda x: x.size, requested))\n",
"cumm_sum"
]
},
{
"cell_type": "markdown",
"id": "a61f8782-d7f6-4908-b5b0-e7aacfec455b",
"metadata": {},
"source": [
"#### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 133,
"id": "22bbbeea-0e73-4d05-8637-09cbc6112a7b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"179 dirs\n"
]
},
{
"data": {
"text/plain": [
"('dqbnbl', '/hmw/tsrqvpbq/dqbnbl/', 5469168)"
]
},
"execution_count": 133,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"traversible, flat_file_list = SimpleQueue(), []\n",
"traversible.put(root)\n",
"\n",
"while not traversible.empty():\n",
" dir: Dir = traversible.get()\n",
" flat_file_list.append(dir)\n",
" for subdir in dir.subdirs:\n",
" traversible.put(subdir)\n",
" traversed.add(dir.path)\n",
"\n",
"print(len(flat_file_list), \"dirs\")\n",
"\n",
"space_left = 70000000 - root.size\n",
"flat_file_list.sort(key=lambda x: space_left - x.size, reverse=True)\n",
"big_enough = filter(lambda x: space_left + x.size > 30000000, flat_file_list)\n",
"needed_dir = next(big_enough)\n",
"needed_dir.name, needed_dir.path, needed_dir.size"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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176
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{
"cells": [
{
"cell_type": "markdown",
"id": "44a4d803-d75a-4954-9395-f496f05cfa3c",
"metadata": {},
"source": [
"#### Part 1"
]
},
{
"cell_type": "code",
"execution_count": 82,
"id": "472462b7-896e-4993-80c4-996f318c0c44",
"metadata": {},
"outputs": [],
"source": [
"with open(\"aoc8_input.txt\", \"r\") as f:\n",
" forest = []\n",
" for line in f:\n",
" forest.append([*map(int, line.strip())])\n",
"\n",
"W, H = len(forest[0]), len(forest)"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "828ee197-c184-4826-afc4-3700b0e97762",
"metadata": {},
"outputs": [],
"source": [
"def get_row(row):\n",
" return forest[row]\n",
"\n",
"def get_col(col):\n",
" return list(map(lambda row: row[col], forest))\n",
"\n",
"def is_visible(x: int, y:int) -> bool:\n",
" v = forest[x][y]\n",
" r, c = get_row(x), get_col(y)\n",
" \n",
" rlp = r[:y] + [0]\n",
" rrp = r[y+1:] + [0]\n",
" cup = c[:x] + [0]\n",
" cdp = c[x+1:] + [0]\n",
" \n",
" return max(rlp) >= v and max(rrp) >= v and max(cup) >= v and max(cdp) >= v"
]
},
{
"cell_type": "code",
"execution_count": 84,
"id": "92c923a5-b93f-4492-8ac0-afc98ebd0205",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1818"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"c = 0\n",
"total = W * H\n",
"\n",
"for x in range(1, len(forest)-1):\n",
" for y in range(1, len(forest[x])-1):\n",
" c += int(is_visible(x, y))\n",
"\n",
"total - c"
]
},
{
"cell_type": "markdown",
"id": "34161fd4-966e-4536-a338-17835748f372",
"metadata": {},
"source": [
"#### Part 2"
]
},
{
"cell_type": "code",
"execution_count": 85,
"id": "25132b83-3c45-46e0-80df-89ebb8a431a8",
"metadata": {},
"outputs": [],
"source": [
"def calculate_scenic_score(x: int, y: int) -> int:\n",
" v = forest[x][y]\n",
" r, c = get_row(x), get_col(y)\n",
" \n",
" \n",
" rlp = r[:y][::-1]\n",
" rrp = r[y+1:]\n",
" cup = c[:x][::-1]\n",
" cdp = c[x+1:]\n",
" \n",
" ssl, ssr, ssu, ssd = 0, 0, 0, 0\n",
" for t in rlp:\n",
" ssl += 1\n",
" if t >= v:\n",
" break\n",
" for t in rrp:\n",
" ssr += 1\n",
" if t >= v:\n",
" break\n",
" for t in cup:\n",
" ssu += 1\n",
" if t >= v:\n",
" break\n",
" for t in cdp:\n",
" ssd += 1\n",
" if t >= v:\n",
" break\n",
" \n",
" return ssl * ssr * ssu * ssd"
]
},
{
"cell_type": "code",
"execution_count": 86,
"id": "54b7e07c-4e3c-4f3b-bab8-588d11117639",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"368368"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"highest_scenic_score = 0\n",
"\n",
"for x in range(1, len(forest)-1):\n",
" for y in range(1, len(forest[x])-1):\n",
" sscore = calculate_scenic_score(x, y)\n",
" if sscore > highest_scenic_score:\n",
" highest_scenic_score = sscore\n",
"\n",
"highest_scenic_score"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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