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dev/refact
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504
poetry.lock
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504
poetry.lock
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{file = "scipy-1.14.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:8bddf15838ba768bb5f5083c1ea012d64c9a444e16192762bd858f1e126196d0"},
|
||||
{file = "scipy-1.14.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:97c5dddd5932bd2a1a31c927ba5e1463a53b87ca96b5c9bdf5dfd6096e27efc3"},
|
||||
{file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2ff0a7e01e422c15739ecd64432743cf7aae2b03f3084288f399affcefe5222d"},
|
||||
{file = "scipy-1.14.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e32dced201274bf96899e6491d9ba3e9a5f6b336708656466ad0522d8528f69"},
|
||||
{file = "scipy-1.14.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:8426251ad1e4ad903a4514712d2fa8fdd5382c978010d1c6f5f37ef286a713ad"},
|
||||
{file = "scipy-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:a49f6ed96f83966f576b33a44257d869756df6cf1ef4934f59dd58b25e0327e5"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-macosx_10_13_x86_64.whl", hash = "sha256:2da0469a4ef0ecd3693761acbdc20f2fdeafb69e6819cc081308cc978153c675"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:c0ee987efa6737242745f347835da2cc5bb9f1b42996a4d97d5c7ff7928cb6f2"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:3a1b111fac6baec1c1d92f27e76511c9e7218f1695d61b59e05e0fe04dc59617"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8475230e55549ab3f207bff11ebfc91c805dc3463ef62eda3ccf593254524ce8"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:278266012eb69f4a720827bdd2dc54b2271c97d84255b2faaa8f161a158c3b37"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:fef8c87f8abfb884dac04e97824b61299880c43f4ce675dd2cbeadd3c9b466d2"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b05d43735bb2f07d689f56f7b474788a13ed8adc484a85aa65c0fd931cf9ccd2"},
|
||||
{file = "scipy-1.14.1-cp311-cp311-win_amd64.whl", hash = "sha256:716e389b694c4bb564b4fc0c51bc84d381735e0d39d3f26ec1af2556ec6aad94"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:631f07b3734d34aced009aaf6fedfd0eb3498a97e581c3b1e5f14a04164a456d"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:af29a935803cc707ab2ed7791c44288a682f9c8107bc00f0eccc4f92c08d6e07"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:2843f2d527d9eebec9a43e6b406fb7266f3af25a751aa91d62ff416f54170bc5"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:eb58ca0abd96911932f688528977858681a59d61a7ce908ffd355957f7025cfc"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:30ac8812c1d2aab7131a79ba62933a2a76f582d5dbbc695192453dae67ad6310"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f9ea80f2e65bdaa0b7627fb00cbeb2daf163caa015e59b7516395fe3bd1e066"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:edaf02b82cd7639db00dbff629995ef185c8df4c3ffa71a5562a595765a06ce1"},
|
||||
{file = "scipy-1.14.1-cp312-cp312-win_amd64.whl", hash = "sha256:2ff38e22128e6c03ff73b6bb0f85f897d2362f8c052e3b8ad00532198fbdae3f"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1729560c906963fc8389f6aac023739ff3983e727b1a4d87696b7bf108316a79"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-macosx_12_0_arm64.whl", hash = "sha256:4079b90df244709e675cdc8b93bfd8a395d59af40b72e339c2287c91860deb8e"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:e0cf28db0f24a38b2a0ca33a85a54852586e43cf6fd876365c86e0657cfe7d73"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:0c2f95de3b04e26f5f3ad5bb05e74ba7f68b837133a4492414b3afd79dfe540e"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b99722ea48b7ea25e8e015e8341ae74624f72e5f21fc2abd45f3a93266de4c5d"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5149e3fd2d686e42144a093b206aef01932a0059c2a33ddfa67f5f035bdfe13e"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:e4f5a7c49323533f9103d4dacf4e4f07078f360743dec7f7596949149efeec06"},
|
||||
{file = "scipy-1.14.1-cp313-cp313-win_amd64.whl", hash = "sha256:baff393942b550823bfce952bb62270ee17504d02a1801d7fd0719534dfb9c84"},
|
||||
{file = "scipy-1.14.1.tar.gz", hash = "sha256:5a275584e726026a5699459aa72f828a610821006228e841b94275c4a7c08417"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = ">=1.23.5,<2.3"
|
||||
|
||||
[package.extras]
|
||||
dev = ["cython-lint (>=0.12.2)", "doit (>=0.36.0)", "mypy (==1.10.0)", "pycodestyle", "pydevtool", "rich-click", "ruff (>=0.0.292)", "types-psutil", "typing_extensions"]
|
||||
doc = ["jupyterlite-pyodide-kernel", "jupyterlite-sphinx (>=0.13.1)", "jupytext", "matplotlib (>=3.5)", "myst-nb", "numpydoc", "pooch", "pydata-sphinx-theme (>=0.15.2)", "sphinx (>=5.0.0,<=7.3.7)", "sphinx-design (>=0.4.0)"]
|
||||
test = ["Cython", "array-api-strict (>=2.0)", "asv", "gmpy2", "hypothesis (>=6.30)", "meson", "mpmath", "ninja", "pooch", "pytest", "pytest-cov", "pytest-timeout", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
|
||||
|
||||
[[package]]
|
||||
name = "six"
|
||||
version = "1.17.0"
|
||||
version = "1.16.0"
|
||||
description = "Python 2 and 3 compatibility utilities"
|
||||
optional = false
|
||||
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
|
||||
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
|
||||
files = [
|
||||
{file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
|
||||
{file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
|
||||
{file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
|
||||
{file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1527,4 +1295,4 @@ files = [
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "5b57bccd8dc65a9acecbe187939bae625ef6a259f4188c6587907245bcfa604f"
|
||||
content-hash = "c91bc307ff4a5b3e8cd1976ebea211c9749fe09d563dd80861f70ce26826cda9"
|
||||
|
||||
@ -12,12 +12,10 @@ python = "^3.10"
|
||||
numpy = "^2.1.3"
|
||||
tqdm = "^4.67.1"
|
||||
parse = "^1.20.2"
|
||||
scipy = "^1.14.1"
|
||||
sympy = "^1.13.3"
|
||||
networkx = "^3.4.2"
|
||||
pillow = "^11.0.0"
|
||||
imageio = "^2.36.1"
|
||||
pygifsicle = "^1.1.0"
|
||||
opencv-python = "^4.10.0.84"
|
||||
pandas = "^2.2.3"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pyright = "^1.1.389"
|
||||
@ -27,13 +25,6 @@ ipykernel = "^6.29.5"
|
||||
networkx-stubs = "^0.0.1"
|
||||
types-networkx = "^3.4.2.20241115"
|
||||
|
||||
[tool.poetry.group.cplex.dependencies]
|
||||
docplex = "^2.28.240"
|
||||
cplex = "^22.1.1.2"
|
||||
|
||||
[tool.poetry.group.ortools.dependencies]
|
||||
ortools = "^9.11.4210"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
holt59-aoc = "holt59.aoc.__main__:main"
|
||||
|
||||
|
||||
@ -52,6 +52,7 @@ class Solver(BaseSolver):
|
||||
m2 += molecule[i]
|
||||
i += 1
|
||||
|
||||
# print(m2)
|
||||
molecule = m2
|
||||
|
||||
yield count
|
||||
|
||||
@ -173,6 +173,7 @@ class Solver(BaseSolver):
|
||||
)
|
||||
)
|
||||
|
||||
# 1242 (not working)
|
||||
yield sum(
|
||||
c
|
||||
for _, c in play(
|
||||
|
||||
@ -1,107 +0,0 @@
|
||||
import inspect
|
||||
from typing import Any, Callable, Final, Iterator, Mapping
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
class Instruction:
|
||||
def __init__(self, fn: Callable[..., None]):
|
||||
self._fn = fn
|
||||
|
||||
args = inspect.getfullargspec(fn)
|
||||
|
||||
self._argtypes = [args.annotations[arg] for arg in args.args[1:]]
|
||||
|
||||
def __call__(self, args: tuple[str, ...]):
|
||||
self._fn(
|
||||
*(argtype(arg) for arg, argtype in zip(args, self._argtypes, strict=True))
|
||||
)
|
||||
|
||||
|
||||
class Machine:
|
||||
def __init__(
|
||||
self, instructions: list[str], registers: dict[str, int] = {"a": 0, "b": 1}
|
||||
):
|
||||
self.instructions: Final = [
|
||||
(part[0], tuple(arg.strip() for arg in " ".join(part[1:]).split(",")))
|
||||
for instruction in instructions
|
||||
if (part := instruction.split())
|
||||
]
|
||||
|
||||
self._fns = {
|
||||
name: Instruction(getattr(self, name))
|
||||
for name in ("hlf", "tpl", "inc", "jmp", "jie", "jio")
|
||||
}
|
||||
|
||||
self._registers = registers.copy()
|
||||
self._ip = 0
|
||||
|
||||
@property
|
||||
def registers(self) -> Mapping[str, int]:
|
||||
return self._registers
|
||||
|
||||
@property
|
||||
def ip(self) -> int:
|
||||
return self._ip
|
||||
|
||||
def reset(self, registers: dict[str, int] = {"a": 0, "b": 0}):
|
||||
self._registers = registers.copy()
|
||||
self._ip = 0
|
||||
|
||||
def hlf(self, register: str):
|
||||
self._registers[register] //= 2
|
||||
self._ip += 1
|
||||
|
||||
def tpl(self, register: str):
|
||||
self._registers[register] *= 3
|
||||
self._ip += 1
|
||||
|
||||
def inc(self, register: str):
|
||||
self._registers[register] += 1
|
||||
self._ip += 1
|
||||
|
||||
def jmp(self, offset: int):
|
||||
self._ip += offset
|
||||
assert 0 <= self._ip < len(self.instructions)
|
||||
|
||||
def jie(self, register: str, offset: int):
|
||||
if self._registers[register] % 2 == 0:
|
||||
self._ip += offset
|
||||
else:
|
||||
self._ip += 1
|
||||
|
||||
def jio(self, register: str, offset: int):
|
||||
if self._registers[register] == 1:
|
||||
self._ip += offset
|
||||
else:
|
||||
self._ip += 1
|
||||
|
||||
def _exec(self) -> bool:
|
||||
# execute next instruction
|
||||
if self._ip >= len(self.instructions):
|
||||
return False
|
||||
|
||||
ins, args = self.instructions[self._ip]
|
||||
|
||||
if ins not in self._fns:
|
||||
return False
|
||||
|
||||
self._fns[ins](args)
|
||||
return True
|
||||
|
||||
def run(self):
|
||||
while self._exec():
|
||||
...
|
||||
return self.registers
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
machine = Machine(input.splitlines())
|
||||
|
||||
registers = machine.run()
|
||||
yield registers["b"]
|
||||
|
||||
machine.reset({"a": 1, "b": 0})
|
||||
registers = machine.run()
|
||||
yield registers["b"]
|
||||
@ -1,88 +0,0 @@
|
||||
from typing import Any, Iterator, TypeAlias
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
TupleOfInts: TypeAlias = tuple[int, ...]
|
||||
|
||||
|
||||
def check_n_groups(
|
||||
target: int, groups: tuple[TupleOfInts, ...], numbers: TupleOfInts
|
||||
) -> bool:
|
||||
n_groups = len(groups)
|
||||
groups_s = tuple(sum(group) for group in groups)
|
||||
|
||||
if all(target == group_s for group_s in groups_s):
|
||||
return not numbers
|
||||
|
||||
if not numbers:
|
||||
return False
|
||||
|
||||
head, *tail_l = numbers
|
||||
tail, tail_s = tuple(tail_l), sum(tail_l)
|
||||
|
||||
return any(
|
||||
groups_s[i] + head <= target
|
||||
and sum(groups_s[j] for j in range(len(groups)) if i != j) + tail_s
|
||||
>= (n_groups - 1) * target
|
||||
and check_n_groups(
|
||||
target, groups[:i] + ((groups[i] + (head,)),) + groups[i + 1 :], tail
|
||||
)
|
||||
for i in range(len(groups))
|
||||
)
|
||||
|
||||
|
||||
def enumerate_single_subset(
|
||||
target: int, numbers: TupleOfInts
|
||||
) -> Iterator[tuple[int, TupleOfInts, TupleOfInts]]:
|
||||
"""
|
||||
Enumerate subset of numbers whose sum equals target.
|
||||
|
||||
Subset are enumerated in increasing order of length, then product (quantum value).
|
||||
|
||||
Args:
|
||||
target: Target for the sum of the subset.
|
||||
numbers: Tuple of integers to find the subset from.
|
||||
|
||||
Returns:
|
||||
A generator (quantum, subset, remaining) where subset if the subset of numbers
|
||||
whose sum equals target, quantum the product of the subset, and remaining the
|
||||
remaining numbers.
|
||||
"""
|
||||
groups: list[tuple[int, TupleOfInts, TupleOfInts]] = [(1, (), numbers)]
|
||||
|
||||
for _ in range(len(numbers)):
|
||||
new_groups: list[tuple[int, TupleOfInts, TupleOfInts]] = []
|
||||
|
||||
for g_quantum, group, remaining in groups:
|
||||
sg = sum(group)
|
||||
for i in range(len(remaining)):
|
||||
if group and remaining[i] <= group[-1]:
|
||||
continue
|
||||
|
||||
uv = remaining[:i] + remaining[i + 1 :]
|
||||
kv = g_quantum * remaining[i], group + (remaining[i],), uv
|
||||
|
||||
if sg + remaining[i] == target:
|
||||
yield kv
|
||||
elif sg + remaining[i] < target:
|
||||
new_groups.append(kv)
|
||||
|
||||
groups = new_groups
|
||||
|
||||
|
||||
def find_min_quantum(numbers: tuple[int, ...], n_groups: int):
|
||||
return next(
|
||||
g_quantum
|
||||
for g_quantum, group_1v2, group_234v2 in enumerate_single_subset(
|
||||
sum(numbers) // n_groups, numbers
|
||||
)
|
||||
if check_n_groups(sum(group_1v2), ((),) * (n_groups - 1), group_234v2)
|
||||
)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
numbers = tuple(map(int, input.split()))
|
||||
|
||||
yield find_min_quantum(numbers, 3)
|
||||
yield find_min_quantum(numbers, 4)
|
||||
@ -1,16 +0,0 @@
|
||||
import re
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
from ..tools.math import pow_mod
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
m = re.search(r"row\s*([0-9]+)\s*,\s*column\s*([0-9]+)", input)
|
||||
assert m is not None
|
||||
|
||||
row, col = int(m.group(1)), int(m.group(2))
|
||||
n = (row * (row - 1)) // 2 + col * (col + 1) // 2 + (row - 1) * (col - 1)
|
||||
|
||||
yield (20151125 * pow_mod(252533, n - 1, 33554393)) % 33554393
|
||||
@ -1,47 +1,7 @@
|
||||
from functools import reduce
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
BRACKETS = {"{": "}", "[": "]", "<": ">", "(": ")"}
|
||||
|
||||
CORRUPT_SCORES = {")": 3, "]": 57, "}": 1197, ">": 25137}
|
||||
COMPLETE_SCORES = {")": 1, "]": 2, "}": 3, ">": 4}
|
||||
|
||||
|
||||
def corrupted_or_incomplete(line: str) -> tuple[bool, str]:
|
||||
opens: list[str] = []
|
||||
|
||||
for c in line:
|
||||
if c in BRACKETS:
|
||||
opens.append(c)
|
||||
elif BRACKETS[opens[-1]] != c:
|
||||
return True, c
|
||||
else:
|
||||
opens.pop()
|
||||
|
||||
return (False, "".join(opens))
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
lines = input.splitlines()
|
||||
|
||||
answer_1: int = 0
|
||||
incomplete_scores: list[int] = []
|
||||
|
||||
for line in lines:
|
||||
c, r = corrupted_or_incomplete(line)
|
||||
if c:
|
||||
answer_1 += CORRUPT_SCORES[r]
|
||||
else:
|
||||
incomplete_scores.append(
|
||||
reduce(
|
||||
lambda s, c: s * 5 + COMPLETE_SCORES[BRACKETS[c]],
|
||||
reversed(r),
|
||||
0,
|
||||
),
|
||||
)
|
||||
|
||||
yield answer_1
|
||||
yield sorted(incomplete_scores)[len(incomplete_scores) // 2]
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,66 +1,7 @@
|
||||
import itertools as it
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
def do_step(values: list[list[int]]) -> tuple[list[list[int]], set[tuple[int, int]]]:
|
||||
values = [[c + 1 for c in r] for r in values]
|
||||
flashed: set[tuple[int, int]] = set()
|
||||
|
||||
while True:
|
||||
found = False
|
||||
|
||||
for i_row, row in enumerate(values):
|
||||
for i_col, col in enumerate(row):
|
||||
if col <= 9 or (i_row, i_col) in flashed:
|
||||
continue
|
||||
|
||||
found = True
|
||||
flashed.add((i_row, i_col))
|
||||
for dr, dc in it.product((-1, 0, 1), repeat=2):
|
||||
if 0 <= i_row + dr < len(values) and 0 <= i_col + dc < len(
|
||||
values[0]
|
||||
):
|
||||
values[i_row + dr][i_col + dc] += 1
|
||||
|
||||
if not found:
|
||||
break
|
||||
|
||||
for i, j in flashed:
|
||||
values[i][j] = 0
|
||||
|
||||
return values, flashed
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def print_grid(self, values: list[list[int]], flashed: set[tuple[int, int]]):
|
||||
for i_row, row in enumerate(values):
|
||||
s_row = ""
|
||||
for i_col, col in enumerate(row):
|
||||
if (i_row, i_col) in flashed:
|
||||
s_row += f"\033[0;31m{col}\033[0;00m"
|
||||
else:
|
||||
s_row += str(col)
|
||||
self.logger.info(s_row)
|
||||
self.logger.info("")
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
values_0 = [[int(c) for c in r] for r in input.splitlines()]
|
||||
|
||||
values = values_0
|
||||
total_flashed: int = 0
|
||||
for _ in range(100):
|
||||
values, flashed = do_step(values)
|
||||
total_flashed += len(flashed)
|
||||
|
||||
yield total_flashed
|
||||
|
||||
n_cells = len(values) * len(values[0])
|
||||
flashed: set[tuple[int, int]] = set()
|
||||
values, step = values_0, 0
|
||||
while len(flashed) != n_cells:
|
||||
values, flashed = do_step(values)
|
||||
step += 1
|
||||
|
||||
yield step
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,64 +1,7 @@
|
||||
import string
|
||||
from collections import defaultdict
|
||||
from functools import cache
|
||||
from typing import Any, Iterator, Mapping, Sequence
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
@cache
|
||||
def is_small(node: str):
|
||||
return all(c in string.ascii_lowercase for c in node)
|
||||
|
||||
|
||||
def enumerate_paths(
|
||||
neighbors: Mapping[str, Sequence[str]],
|
||||
duplicate_smalls: int = 0,
|
||||
start: str = "start",
|
||||
current: tuple[str, ...] = ("start",),
|
||||
) -> Iterator[tuple[str, ...]]:
|
||||
if start == "end":
|
||||
yield current
|
||||
|
||||
for neighbor in neighbors[start]:
|
||||
if not is_small(neighbor):
|
||||
yield from enumerate_paths(
|
||||
neighbors, duplicate_smalls, neighbor, current + (neighbor,)
|
||||
)
|
||||
elif neighbor not in current:
|
||||
yield from enumerate_paths(
|
||||
neighbors, duplicate_smalls, neighbor, current + (neighbor,)
|
||||
)
|
||||
elif duplicate_smalls > 0:
|
||||
yield from enumerate_paths(
|
||||
neighbors, duplicate_smalls - 1, neighbor, current + (neighbor,)
|
||||
)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
neighbors: dict[str, list[str]] = defaultdict(list)
|
||||
|
||||
for row in input.splitlines():
|
||||
a, b = row.split("-")
|
||||
if a != "end" and b != "start":
|
||||
neighbors[a].append(b)
|
||||
if b != "end" and a != "start":
|
||||
neighbors[b].append(a)
|
||||
|
||||
if self.files:
|
||||
graph = "graph {\n"
|
||||
for node, neighbors_of in neighbors.items():
|
||||
graph += (
|
||||
" ".join(
|
||||
f"{node} -- {neighbor};"
|
||||
for neighbor in neighbors_of
|
||||
if node <= neighbor or node == "start" or neighbor == "end"
|
||||
)
|
||||
+ "\n"
|
||||
)
|
||||
graph += "}\n"
|
||||
self.files.create("graph.dot", graph.encode(), False)
|
||||
|
||||
yield len(list(enumerate_paths(neighbors)))
|
||||
yield len(list(enumerate_paths(neighbors, 1)))
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -97,12 +97,7 @@ def neighbors(
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def print_path(
|
||||
self, name: str, path: list[tuple[int, int]], n_rows: int, n_cols: int
|
||||
) -> None:
|
||||
if not self.files:
|
||||
return
|
||||
|
||||
def print_path(self, path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
|
||||
end = path[-1]
|
||||
|
||||
graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
|
||||
@ -123,11 +118,8 @@ class Solver(BaseSolver):
|
||||
else:
|
||||
assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
|
||||
|
||||
self.files.create(
|
||||
f"graph_{name}.txt",
|
||||
"\n".join("".join(row) for row in graph).encode(),
|
||||
text=True,
|
||||
)
|
||||
for row in graph:
|
||||
self.logger.info("".join(row))
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
lines = input.splitlines()
|
||||
@ -165,7 +157,7 @@ class Solver(BaseSolver):
|
||||
path_1 = make_path(parents_1, start, end)
|
||||
assert path_1 is not None
|
||||
|
||||
self.print_path("answer1", path_1, n_rows=len(grid), n_cols=len(grid[0]))
|
||||
self.print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
|
||||
yield lengths_1[end] - 1
|
||||
|
||||
lengths_2, _ = dijkstra(
|
||||
|
||||
@ -67,16 +67,13 @@ def flow(
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def print_blocks(self, name: str, blocks: dict[tuple[int, int], Cell]):
|
||||
def print_blocks(self, blocks: dict[tuple[int, int], Cell]):
|
||||
"""
|
||||
Print the given set of blocks on a grid.
|
||||
|
||||
Args:
|
||||
blocks: Set of blocks to print.
|
||||
"""
|
||||
if not self.files:
|
||||
return
|
||||
|
||||
x_min, y_min, x_max, y_max = (
|
||||
min(x for x, _ in blocks),
|
||||
0,
|
||||
@ -84,15 +81,11 @@ class Solver(BaseSolver):
|
||||
max(y for _, y in blocks),
|
||||
)
|
||||
|
||||
self.files.create(
|
||||
f"blocks_{name}.txt",
|
||||
"\n".join(
|
||||
for y in range(y_min, y_max + 1):
|
||||
self.logger.info(
|
||||
"".join(
|
||||
str(blocks.get((x, y), Cell.AIR)) for x in range(x_min, x_max + 1)
|
||||
)
|
||||
for y in range(y_min, y_max + 1)
|
||||
).encode(),
|
||||
True,
|
||||
)
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
@ -122,7 +115,7 @@ class Solver(BaseSolver):
|
||||
for y in range(y_start, y_end):
|
||||
blocks[x, y] = Cell.ROCK
|
||||
|
||||
self.print_blocks("start", blocks)
|
||||
self.print_blocks(blocks)
|
||||
|
||||
y_max = max(y for _, y in blocks)
|
||||
|
||||
@ -131,7 +124,7 @@ class Solver(BaseSolver):
|
||||
blocks_1 = flow(
|
||||
blocks.copy(), stop_fn=lambda x, y: y > y_max, fill_fn=lambda x, y: Cell.AIR
|
||||
)
|
||||
self.print_blocks("part1", blocks_1)
|
||||
self.print_blocks(blocks_1)
|
||||
yield sum(v == Cell.SAND for v in blocks_1.values())
|
||||
|
||||
# === part 2 ===
|
||||
@ -142,5 +135,5 @@ class Solver(BaseSolver):
|
||||
fill_fn=lambda x, y: Cell.AIR if y < y_max + 2 else Cell.ROCK,
|
||||
)
|
||||
blocks_2[500, 0] = Cell.SAND
|
||||
self.print_blocks("part2", blocks_2)
|
||||
self.print_blocks(blocks_2)
|
||||
yield sum(v == Cell.SAND for v in blocks_2.values())
|
||||
|
||||
@ -6,6 +6,8 @@ import re
|
||||
from collections import defaultdict
|
||||
from typing import Any, FrozenSet, Iterator, NamedTuple
|
||||
|
||||
from tqdm import tqdm
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
@ -60,17 +62,12 @@ def update_with_better(
|
||||
node_at_times[flowing] = max(node_at_times[flowing], flow)
|
||||
|
||||
|
||||
# === MAIN ===
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def part_1(
|
||||
self,
|
||||
def part_1(
|
||||
start_pipe: Pipe,
|
||||
max_time: int,
|
||||
distances: dict[tuple[Pipe, Pipe], int],
|
||||
relevant_pipes: FrozenSet[Pipe],
|
||||
):
|
||||
):
|
||||
node_at_times: dict[int, dict[Pipe, dict[FrozenSet[Pipe], int]]] = defaultdict(
|
||||
lambda: defaultdict(lambda: defaultdict(lambda: 0))
|
||||
)
|
||||
@ -102,17 +99,15 @@ class Solver(BaseSolver):
|
||||
for flow in nodes_of_pipe.values()
|
||||
)
|
||||
|
||||
def part_2(
|
||||
self,
|
||||
|
||||
def part_2(
|
||||
start_pipe: Pipe,
|
||||
max_time: int,
|
||||
distances: dict[tuple[Pipe, Pipe], int],
|
||||
relevant_pipes: FrozenSet[Pipe],
|
||||
):
|
||||
):
|
||||
def compute(pipes_for_me: FrozenSet[Pipe]) -> int:
|
||||
return self.part_1(
|
||||
start_pipe, max_time, distances, pipes_for_me
|
||||
) + self.part_1(
|
||||
return part_1(start_pipe, max_time, distances, pipes_for_me) + part_1(
|
||||
start_pipe, max_time, distances, relevant_pipes - pipes_for_me
|
||||
)
|
||||
|
||||
@ -122,8 +117,13 @@ class Solver(BaseSolver):
|
||||
for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
|
||||
]
|
||||
|
||||
return max(compute(comb) for comb in self.progress.wrap(combs))
|
||||
return max(compute(comb) for comb in tqdm(combs))
|
||||
|
||||
|
||||
# === MAIN ===
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
lines = [line.strip() for line in input.splitlines()]
|
||||
|
||||
@ -153,7 +153,7 @@ class Solver(BaseSolver):
|
||||
relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
|
||||
|
||||
# 1651, 1653
|
||||
yield self.part_1(pipes["AA"], 30, distances, relevant_pipes)
|
||||
yield part_1(pipes["AA"], 30, distances, relevant_pipes)
|
||||
|
||||
# 1707, 2223
|
||||
yield self.part_2(pipes["AA"], 26, distances, relevant_pipes)
|
||||
yield part_2(pipes["AA"], 26, distances, relevant_pipes)
|
||||
|
||||
@ -10,6 +10,17 @@ T = TypeVar("T")
|
||||
Tower: TypeAlias = NDArray[np.bool]
|
||||
|
||||
|
||||
def print_tower(tower: Tower, out: str = "#"):
|
||||
print("-" * (tower.shape[1] + 2))
|
||||
non_empty = False
|
||||
for row in reversed(range(1, tower.shape[0])):
|
||||
if not non_empty and not tower[row, :].any():
|
||||
continue
|
||||
non_empty = True
|
||||
print("|" + "".join(out if c else "." for c in tower[row, :]) + "|")
|
||||
print("+" + "-" * tower.shape[1] + "+")
|
||||
|
||||
|
||||
def tower_height(tower: Tower) -> int:
|
||||
return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
|
||||
|
||||
|
||||
@ -24,6 +24,18 @@ def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]:
|
||||
return min(ys), min(xs), max(ys), max(xs)
|
||||
|
||||
|
||||
def print_positions(positions: set[tuple[int, int]]):
|
||||
min_y, min_x, max_y, max_x = min_max_yx(positions)
|
||||
print(
|
||||
"\n".join(
|
||||
"".join(
|
||||
"#" if (y, x) in positions else "." for x in range(min_x - 1, max_x + 2)
|
||||
)
|
||||
for y in range(min_y - 1, max_y + 2)
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
def round(
|
||||
positions: set[tuple[int, int]],
|
||||
directions: Directions,
|
||||
|
||||
@ -83,17 +83,18 @@ class Solver(BaseSolver):
|
||||
if (i, j) in loop_s and lines[i][j] in "|LJ":
|
||||
cnt += 1
|
||||
|
||||
if self.files:
|
||||
rows = [["." for _j in range(len(lines[0]))] for _i in range(len(lines))]
|
||||
rows[si][sj] = "\033[91mS\033[0m"
|
||||
|
||||
for i, j in loop:
|
||||
rows[i][j] = lines[i][j]
|
||||
for i, j in inside:
|
||||
rows[i][j] = "\033[92mI\033[0m"
|
||||
|
||||
self.files.create(
|
||||
"output.txt", "\n".join("".join(row) for row in rows).encode(), True
|
||||
)
|
||||
if self.verbose:
|
||||
for i in range(len(lines)):
|
||||
s = ""
|
||||
for j in range(len(lines[0])):
|
||||
if (i, j) == (si, sj):
|
||||
s += "\033[91mS\033[0m"
|
||||
elif (i, j) in loop:
|
||||
s += lines[i][j]
|
||||
elif (i, j) in inside:
|
||||
s += "\033[92mI\033[0m"
|
||||
else:
|
||||
s += "."
|
||||
self.logger.info(s)
|
||||
|
||||
yield len(inside)
|
||||
|
||||
@ -84,14 +84,9 @@ class Solver(BaseSolver):
|
||||
|
||||
beams = propagate(layout, (0, 0), "R")
|
||||
|
||||
if self.files:
|
||||
self.files.create(
|
||||
"beams.txt",
|
||||
"\n".join(
|
||||
"".join("#" if col else "." for col in row) for row in beams
|
||||
).encode(),
|
||||
True,
|
||||
)
|
||||
if self.verbose:
|
||||
for row in beams:
|
||||
self.logger.info("".join("#" if col else "." for col in row))
|
||||
|
||||
# part 1
|
||||
yield sum(sum(map(bool, row)) for row in beams)
|
||||
|
||||
@ -33,14 +33,10 @@ MAPPINGS: dict[Direction, tuple[int, int, Direction]] = {
|
||||
class Solver(BaseSolver):
|
||||
def print_shortest_path(
|
||||
self,
|
||||
name: str,
|
||||
grid: list[list[int]],
|
||||
target: tuple[int, int],
|
||||
per_cell: dict[tuple[int, int], list[tuple[Label, int]]],
|
||||
):
|
||||
if not self.files:
|
||||
return
|
||||
|
||||
assert len(per_cell[target]) == 1
|
||||
label = per_cell[target][0][0]
|
||||
|
||||
@ -78,9 +74,8 @@ class Solver(BaseSolver):
|
||||
|
||||
p_grid[0][0] = f"\033[92m{grid[0][0]}\033[0m"
|
||||
|
||||
self.files.create(
|
||||
name, "\n".join("".join(row) for row in p_grid).encode(), True
|
||||
)
|
||||
for row in p_grid:
|
||||
self.logger.info("".join(row))
|
||||
|
||||
def shortest_many_paths(self, grid: list[list[int]]) -> dict[tuple[int, int], int]:
|
||||
n_rows, n_cols = len(grid), len(grid[0])
|
||||
@ -134,7 +129,6 @@ class Solver(BaseSolver):
|
||||
|
||||
def shortest_path(
|
||||
self,
|
||||
name: str,
|
||||
grid: list[list[int]],
|
||||
min_straight: int,
|
||||
max_straight: int,
|
||||
@ -223,7 +217,8 @@ class Solver(BaseSolver):
|
||||
),
|
||||
)
|
||||
|
||||
self.print_shortest_path(f"shortest-path_{name}.txt", grid, target, per_cell)
|
||||
if self.verbose:
|
||||
self.print_shortest_path(grid, target, per_cell)
|
||||
|
||||
return per_cell[target][0][1]
|
||||
|
||||
@ -232,7 +227,7 @@ class Solver(BaseSolver):
|
||||
estimates = self.shortest_many_paths(data)
|
||||
|
||||
# part 1
|
||||
yield self.shortest_path("answer_1", data, 1, 3, lower_bounds=estimates)
|
||||
yield self.shortest_path(data, 1, 3, lower_bounds=estimates)
|
||||
|
||||
# part 2
|
||||
yield self.shortest_path("answer_2", data, 4, 10, lower_bounds=estimates)
|
||||
yield self.shortest_path(data, 4, 10, lower_bounds=estimates)
|
||||
|
||||
@ -1,3 +1,4 @@
|
||||
import sys
|
||||
from collections import defaultdict
|
||||
from math import lcm
|
||||
from typing import Any, Iterator, Literal, TypeAlias
|
||||
@ -66,7 +67,7 @@ class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
self._modules = {}
|
||||
|
||||
lines = input.splitlines()
|
||||
lines = sys.stdin.read().splitlines()
|
||||
|
||||
for line in lines:
|
||||
name, outputs_s = line.split(" -> ")
|
||||
@ -79,9 +80,10 @@ class Solver(BaseSolver):
|
||||
outputs,
|
||||
)
|
||||
|
||||
if self.files:
|
||||
contents = "digraph G {\n"
|
||||
contents += "rx [shape=circle, color=red, style=filled];\n"
|
||||
if self.outputs:
|
||||
with open("./day20.dot", "w") as fp:
|
||||
fp.write("digraph G {\n")
|
||||
fp.write("rx [shape=circle, color=red, style=filled];\n")
|
||||
for name, (type, outputs) in self._modules.items():
|
||||
if type == "conjunction":
|
||||
shape = "diamond"
|
||||
@ -89,13 +91,11 @@ class Solver(BaseSolver):
|
||||
shape = "box"
|
||||
else:
|
||||
shape = "circle"
|
||||
contents += f"{name} [shape={shape}];\n"
|
||||
fp.write(f"{name} [shape={shape}];\n")
|
||||
for name, (type, outputs) in self._modules.items():
|
||||
for output in outputs:
|
||||
contents += f"{name} -> {output};\n"
|
||||
contents += "}\n"
|
||||
|
||||
self.files.create("day20.dot", contents.encode(), False)
|
||||
fp.write(f"{name} -> {output};\n")
|
||||
fp.write("}\n")
|
||||
|
||||
# part 1
|
||||
flip_flop_states: dict[str, Literal["on", "off"]] = {
|
||||
|
||||
@ -50,7 +50,7 @@ class Solver(BaseSolver):
|
||||
values.append(len(tiles := reachable(map, tiles, cycle)))
|
||||
values.append(len(tiles := reachable(map, tiles, cycle)))
|
||||
|
||||
if self.files:
|
||||
if self.verbose:
|
||||
n_rows, n_cols = len(map), len(map[0])
|
||||
|
||||
rows = [
|
||||
@ -66,9 +66,8 @@ class Solver(BaseSolver):
|
||||
if (i // cycle) % 2 == (j // cycle) % 2:
|
||||
rows[i][j] = f"\033[91m{rows[i][j]}\033[0m"
|
||||
|
||||
self.files.create(
|
||||
"cycle.txt", "\n".join("".join(row) for row in rows).encode(), True
|
||||
)
|
||||
for row in rows:
|
||||
self.logger.info("".join(row))
|
||||
|
||||
self.logger.info(f"values to fit: {values}")
|
||||
|
||||
@ -102,31 +101,32 @@ class Solver(BaseSolver):
|
||||
# depending on the number of cycles, either A or B will be in the center
|
||||
#
|
||||
|
||||
# counts = [
|
||||
# [
|
||||
# sum(
|
||||
# (i, j) in tiles
|
||||
# for i in range(ci * cycle, (ci + 1) * cycle)
|
||||
# for j in range(cj * cycle, (cj + 1) * cycle)
|
||||
# )
|
||||
# for cj in range(-2, 3)
|
||||
# ]
|
||||
# for ci in range(-2, 3)
|
||||
# ]
|
||||
counts = [
|
||||
[
|
||||
sum(
|
||||
(i, j) in tiles
|
||||
for i in range(ci * cycle, (ci + 1) * cycle)
|
||||
for j in range(cj * cycle, (cj + 1) * cycle)
|
||||
)
|
||||
for cj in range(-2, 3)
|
||||
]
|
||||
for ci in range(-2, 3)
|
||||
]
|
||||
|
||||
# radius = (26501365 - rhombus) // cycle - 1
|
||||
# A = counts[2][2] if radius % 2 == 0 else counts[2][1]
|
||||
# B = counts[2][2] if radius % 2 == 1 else counts[2][1]
|
||||
# answer_2 = (
|
||||
# (radius + 1) * A
|
||||
# + radius * B
|
||||
# + 2 * radius * (radius + 1) // 2 * A
|
||||
# + 2 * radius * (radius - 1) // 2 * B
|
||||
# + sum(counts[i][j] for i, j in ((0, 2), (-1, 2), (2, 0), (2, -1)))
|
||||
# + sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3)))
|
||||
# * (radius + 1)
|
||||
# + sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius
|
||||
# )
|
||||
radius = (26501365 - rhombus) // cycle - 1
|
||||
A = counts[2][2] if radius % 2 == 0 else counts[2][1]
|
||||
B = counts[2][2] if radius % 2 == 1 else counts[2][1]
|
||||
answer_2 = (
|
||||
(radius + 1) * A
|
||||
+ radius * B
|
||||
+ 2 * radius * (radius + 1) // 2 * A
|
||||
+ 2 * radius * (radius - 1) // 2 * B
|
||||
+ sum(counts[i][j] for i, j in ((0, 2), (-1, 2), (2, 0), (2, -1)))
|
||||
+ sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3)))
|
||||
* (radius + 1)
|
||||
+ sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius
|
||||
)
|
||||
print(f"answer 2 (v1) is {answer_2}")
|
||||
|
||||
# version 2: fitting a polynomial
|
||||
#
|
||||
|
||||
@ -63,7 +63,6 @@ class Solver(BaseSolver):
|
||||
(x, y, z), (vx, vy, vz), positions[i1], velocities[i1]
|
||||
):
|
||||
equations.append(p + ti * d - pi - ti * di)
|
||||
print(equations)
|
||||
|
||||
r = solve(equations, [x, y, z, vx, vy, vz] + list(ts), dict=True)[0]
|
||||
yield r[x] + r[y] + r[z]
|
||||
|
||||
@ -1,35 +1,7 @@
|
||||
import itertools as it
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
def process(
|
||||
grid: list[list[int]], current: tuple[int, int]
|
||||
) -> set[tuple[tuple[int, int], ...]]:
|
||||
row, col = current
|
||||
value = grid[row][col] + 1
|
||||
|
||||
if grid[row][col] == 9:
|
||||
return {((row, col),)}
|
||||
|
||||
return {
|
||||
((row, col),) + path
|
||||
for i, j in ((row - 1, col), (row, col + 1), (row + 1, col), (row, col - 1))
|
||||
if 0 <= i < len(grid) and 0 <= j < len(grid[i]) and grid[i][j] == value
|
||||
for path in process(grid, (i, j))
|
||||
}
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
grid = [[int(col) for col in row] for row in input.splitlines()]
|
||||
|
||||
paths = {
|
||||
(i, j): process(grid, (i, j))
|
||||
for i, j in it.product(range(len(grid)), range(len(grid[0])))
|
||||
if grid[i][j] == 0
|
||||
}
|
||||
|
||||
yield sum(len({path[-1] for path in paths[head]}) for head in paths)
|
||||
yield sum(len(paths_of) for paths_of in paths.values())
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,36 +1,7 @@
|
||||
from functools import cache
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
def n_digits(n: int) -> int:
|
||||
c = int(n == 0)
|
||||
while n > 0:
|
||||
c, n = c + 1, n // 10
|
||||
return c
|
||||
|
||||
|
||||
@cache
|
||||
def blink_one_stone(stone: int, round: int) -> int:
|
||||
if round == 0:
|
||||
return 1
|
||||
|
||||
if stone == 0:
|
||||
return blink_one_stone(1, round - 1)
|
||||
|
||||
if (n := n_digits(stone)) % 2 == 0:
|
||||
p = 10 ** (n // 2)
|
||||
return blink_one_stone(stone // p, round - 1) + blink_one_stone(
|
||||
stone % p, round - 1
|
||||
)
|
||||
|
||||
return blink_one_stone(stone * 2024, round - 1)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
stones = list(map(int, input.split()))
|
||||
|
||||
yield sum(blink_one_stone(stone, 25) for stone in stones)
|
||||
yield sum(blink_one_stone(stone, 75) for stone in stones)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,101 +1,7 @@
|
||||
import itertools as it
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Iterator, TypeAlias
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
Node: TypeAlias = tuple[int, int]
|
||||
Edge: TypeAlias = tuple[Node, Node]
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class Region:
|
||||
value: str
|
||||
cells: set[tuple[int, int]]
|
||||
edges: set[Edge]
|
||||
sides: list[tuple[Edge, ...]]
|
||||
|
||||
|
||||
def extract_region(grid: list[str], cell: tuple[int, int]):
|
||||
n_rows, n_cols = len(grid), len(grid[0])
|
||||
row, col = cell
|
||||
|
||||
value = grid[row][col]
|
||||
|
||||
cells: set[tuple[int, int]] = set()
|
||||
edges: set[Edge] = set()
|
||||
sides: list[tuple[Edge, ...]] = []
|
||||
|
||||
queue: list[tuple[int, int]] = [(row, col)]
|
||||
while queue:
|
||||
row, col = queue.pop(0)
|
||||
|
||||
if (row, col) in cells:
|
||||
continue
|
||||
|
||||
cells.add((row, col))
|
||||
|
||||
for ur, uc in (
|
||||
(row - 1, col),
|
||||
(row, col + 1),
|
||||
(row + 1, col),
|
||||
(row, col - 1),
|
||||
):
|
||||
if 0 <= ur < n_rows and 0 <= uc < n_cols and grid[ur][uc] == value:
|
||||
queue.append((ur, uc))
|
||||
continue
|
||||
|
||||
if ((row, col), (ur, uc)) in edges:
|
||||
continue
|
||||
|
||||
if col == uc:
|
||||
mid, max = col, n_cols
|
||||
|
||||
def get(v: int):
|
||||
return (row, v, ur, v)
|
||||
else:
|
||||
mid, max = row, n_rows
|
||||
|
||||
def get(v: int):
|
||||
return (v, col, v, uc)
|
||||
|
||||
side: tuple[Edge, ...] = ((((row, col), (ur, uc))),)
|
||||
for rng in (range(mid - 1, -1, -1), range(mid, max)):
|
||||
for r2, c2, ur2, uc2 in map(get, rng):
|
||||
if grid[r2][c2] != value or (
|
||||
0 <= ur2 < n_rows
|
||||
and 0 <= uc2 < n_cols
|
||||
and grid[r2][c2] == grid[ur2][uc2]
|
||||
):
|
||||
break
|
||||
side += ((((r2, c2), (ur2, uc2))),)
|
||||
|
||||
sides.append(side)
|
||||
edges = edges.union(side)
|
||||
|
||||
return Region(value=value, cells=cells, edges=edges, sides=sides)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
grid = input.splitlines()
|
||||
|
||||
regions: list[Region] = []
|
||||
to_visit: set[tuple[int, int]] = set(
|
||||
it.product(range(len(grid)), range(len(grid[0])))
|
||||
)
|
||||
|
||||
while to_visit:
|
||||
region = extract_region(grid, next(iter(to_visit)))
|
||||
|
||||
self.logger.info(
|
||||
f"region with {region.value}: "
|
||||
f"{len(region.cells)} * {len(region.edges)} = {len(region.cells) * len(region.edges)}, "
|
||||
f"{len(region.cells)} * {len(region.sides)} = {len(region.cells) * len(region.sides)}"
|
||||
)
|
||||
|
||||
to_visit.difference_update(region.cells)
|
||||
regions.append(region)
|
||||
|
||||
yield sum(len(region.cells) * len(region.edges) for region in regions)
|
||||
yield sum(len(region.cells) * len(region.sides) for region in regions)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,79 +1,7 @@
|
||||
import math
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Iterator
|
||||
|
||||
import parse # pyright: ignore[reportMissingTypeStubs]
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class Machine:
|
||||
prize: tuple[int, int]
|
||||
button_a: tuple[int, int]
|
||||
button_b: tuple[int, int]
|
||||
|
||||
|
||||
def read_machine(block: str) -> Machine:
|
||||
ba = parse.parse( # type: ignore
|
||||
"""Button A: X{bax:d}, Y{bay:d}
|
||||
Button B: X{bbx:d}, Y{bby:d}
|
||||
Prize: X={px:d}, Y={py:d}""",
|
||||
block,
|
||||
)
|
||||
return Machine(
|
||||
prize=(ba["px"], ba["py"]), # type: ignore
|
||||
button_a=(ba["bax"], ba["bay"]), # type: ignore
|
||||
button_b=(ba["bbx"], ba["bby"]), # type: ignore
|
||||
)
|
||||
|
||||
|
||||
def diophantine(a: int, b: int, c: int) -> tuple[int, int]:
|
||||
q, r = divmod(a, b)
|
||||
if r == 0:
|
||||
return (0, c // b)
|
||||
else:
|
||||
u, v = diophantine(b, r, c)
|
||||
return (v, u - q * v)
|
||||
|
||||
|
||||
def solve(machine: Machine) -> int:
|
||||
(ax, ay), (bx, by), (px, py) = machine.button_a, machine.button_b, machine.prize
|
||||
dx, dy = math.gcd(ax, bx), math.gcd(ay, by)
|
||||
|
||||
if px % dx != 0 or py % dy != 0:
|
||||
return 0
|
||||
|
||||
xa, xb = diophantine(ax, bx, px)
|
||||
ya, yb = diophantine(ay, by, py)
|
||||
|
||||
# expr (x): xa - kx * bx / dx, xb + kx * ax / dx
|
||||
# expr (y): ya - ky * by / dy, yb + ky * ay / dy
|
||||
|
||||
num = ay * (ya - xa) + by * (yb - xb)
|
||||
den = (ax * by - ay * bx) // dx
|
||||
|
||||
if num % den != 0:
|
||||
return 0
|
||||
|
||||
kx = num // den
|
||||
pa, pb = xa - kx * bx // dx, xb + kx * ax // dx
|
||||
return 3 * pa + pb
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
machines = [read_machine(block) for block in input.split("\n\n")]
|
||||
|
||||
yield sum(map(solve, machines))
|
||||
|
||||
shift = 10000000000000
|
||||
machines = [
|
||||
Machine(
|
||||
prize=(shift + m.prize[0], shift + m.prize[1]),
|
||||
button_a=m.button_a,
|
||||
button_b=m.button_b,
|
||||
)
|
||||
for m in machines
|
||||
]
|
||||
yield sum(map(solve, machines))
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,74 +1,7 @@
|
||||
import itertools as it
|
||||
import operator as op
|
||||
from math import prod
|
||||
from typing import Any, Iterator
|
||||
|
||||
import numpy as np
|
||||
import parse # pyright: ignore[reportMissingTypeStubs]
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
positions: list[tuple[int, int]] = []
|
||||
velocities: list[tuple[int, int]] = []
|
||||
|
||||
for line in input.splitlines():
|
||||
r = parse.parse("p={x:d},{y:d} v={vx:d},{vy:d}", line) # type: ignore
|
||||
positions.append((r["y"], r["x"])) # type: ignore
|
||||
velocities.append((r["vy"], r["vx"])) # type: ignore
|
||||
|
||||
n_rows, n_cols = 103, 101
|
||||
if len(positions) < 20:
|
||||
n_rows, n_cols = 7, 11
|
||||
|
||||
n_rounds = 100
|
||||
new_positions = [
|
||||
((row + v_row * n_rounds) % n_rows, (col + v_col * n_rounds) % n_cols)
|
||||
for (row, col), (v_row, v_col) in zip(positions, velocities, strict=True)
|
||||
]
|
||||
|
||||
midrow = n_rows // 2
|
||||
midcol = n_cols // 2
|
||||
|
||||
yield prod(
|
||||
(
|
||||
sum(opr(row, midrow) and opc(col, midcol) for row, col in new_positions)
|
||||
for opr, opc in it.product((op.gt, op.lt), repeat=2)
|
||||
)
|
||||
)
|
||||
|
||||
new_positions = positions.copy()
|
||||
for rnd in self.progress.wrap(range(10000)):
|
||||
new_positions = [
|
||||
((row + v_row) % n_rows, (col + v_col) % n_cols)
|
||||
for (row, col), (v_row, v_col) in zip(
|
||||
new_positions, velocities, strict=True
|
||||
)
|
||||
]
|
||||
m = [[False for _ in range(n_cols)] for _ in range(n_rows)]
|
||||
for row, col in new_positions:
|
||||
m[row][col] = True
|
||||
|
||||
found = False
|
||||
for row in m:
|
||||
if sum(row) <= 10:
|
||||
continue
|
||||
if any(all(row[i : i + 10]) for i in range(n_cols - 10)):
|
||||
if self.files:
|
||||
self.files.create(
|
||||
f"result_{rnd+1}.txt",
|
||||
"\n".join(
|
||||
"".join("#" if m[i][j] else "." for j in range(n_cols))
|
||||
for i in range(n_rows)
|
||||
).encode(),
|
||||
True,
|
||||
)
|
||||
self.files.image(f"result_{rnd+1}.png", np.array(m))
|
||||
yield rnd + 1
|
||||
# found = True
|
||||
break
|
||||
|
||||
if found:
|
||||
break
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,282 +1,7 @@
|
||||
from typing import Any, Callable, Final, Iterator, TypeAlias
|
||||
|
||||
import numpy as np
|
||||
from numpy.typing import NDArray
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
ImageGrid: TypeAlias = NDArray[np.uint8]
|
||||
|
||||
|
||||
class Grid:
|
||||
FREE: Final = 0
|
||||
BLOCK: Final = 1
|
||||
ROBOT: Final = 2
|
||||
|
||||
robot: tuple[int, int]
|
||||
|
||||
def __init__(self, grid_s: list[str], large: bool):
|
||||
grid: list[list[int]] = []
|
||||
robot: tuple[int, int] | None = None
|
||||
box_counter = 4 if not large else 5
|
||||
for i_row, row in enumerate(grid_s):
|
||||
row_u: list[int] = []
|
||||
for i_col, col in enumerate(row):
|
||||
if col in ".@":
|
||||
row_u.extend((Grid.FREE, Grid.FREE) if large else (Grid.FREE,))
|
||||
if col == "@":
|
||||
robot = (i_row, i_col * 2 if large else i_col)
|
||||
elif col == "#":
|
||||
row_u.extend((Grid.BLOCK, Grid.BLOCK) if large else (Grid.BLOCK,))
|
||||
else:
|
||||
row_u.extend(
|
||||
(box_counter, -box_counter) if large else (box_counter,)
|
||||
)
|
||||
box_counter += 2
|
||||
grid.append(row_u)
|
||||
|
||||
self.grid = np.array(grid)
|
||||
|
||||
assert robot is not None
|
||||
self.robot = robot
|
||||
|
||||
@property
|
||||
def n_rows(self):
|
||||
return len(self.grid)
|
||||
|
||||
@property
|
||||
def n_columns(self):
|
||||
return len(self.grid[0])
|
||||
|
||||
def __len__(self):
|
||||
return self.n_rows
|
||||
|
||||
def __iter__(self):
|
||||
return iter(self.grid)
|
||||
|
||||
def __getitem__(self, index: tuple[int, int]):
|
||||
return self.grid[*index]
|
||||
|
||||
def __setitem__(self, index: tuple[int, int], value: int):
|
||||
self.grid[*index] = value
|
||||
|
||||
def is_free(self, row: int, col: int):
|
||||
return self[row, col] == Grid.FREE
|
||||
|
||||
def is_block(self, row: int, col: int):
|
||||
return self[row, col] == Grid.BLOCK
|
||||
|
||||
def is_box(self, row: int, col: int):
|
||||
return (c := self[row, col]) >= 4 and c % 2 == 0
|
||||
|
||||
def is_open_or_close_box(self, row: int, col: int):
|
||||
return abs(c := self[row, col]) >= 4 and c % 2 == 1
|
||||
|
||||
def is_open_box(self, row: int, col: int):
|
||||
return (c := self[row, col]) >= 4 and c % 2 == 1
|
||||
|
||||
def is_close_box(self, row: int, col: int):
|
||||
return self[row, col] < 0
|
||||
|
||||
def _to_char(self, row: int, col: int):
|
||||
if self.is_free(row, col):
|
||||
return "."
|
||||
elif self.is_block(row, col):
|
||||
return "#"
|
||||
elif self.is_box(row, col):
|
||||
return "O"
|
||||
elif self.is_open_box(row, col):
|
||||
return "["
|
||||
else:
|
||||
return "]"
|
||||
|
||||
def as_numpy(self):
|
||||
arr = self.grid.copy()
|
||||
arr[*self.robot] = Grid.ROBOT
|
||||
return arr
|
||||
|
||||
def as_printable(self):
|
||||
grid_s = [
|
||||
[self._to_char(row, col) for col in range(self.n_columns)]
|
||||
for row in range(self.n_rows)
|
||||
]
|
||||
grid_s[self.robot[0]][self.robot[1]] = "\033[31;1m@\033[00m"
|
||||
return "\n".join("".join(row) for row in grid_s)
|
||||
|
||||
def __str__(self):
|
||||
return self.as_printable()
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def save_grid(self, name: str, grid: Grid):
|
||||
if self.files:
|
||||
self.files.create(name, grid.as_printable().encode(), True)
|
||||
|
||||
def step_part1(self, grid: Grid, move: str):
|
||||
match move:
|
||||
case "^":
|
||||
d_row, d_col = -1, 0
|
||||
case ">":
|
||||
d_row, d_col = 0, 1
|
||||
case "v":
|
||||
d_row, d_col = 1, 0
|
||||
case "<":
|
||||
d_row, d_col = 0, -1
|
||||
case _:
|
||||
assert False
|
||||
|
||||
row, col = grid.robot
|
||||
if grid.is_free(row + d_row, col + d_col):
|
||||
grid.robot = (row + d_row, col + d_col)
|
||||
elif not grid.is_block(row + d_row, col + d_col):
|
||||
n = 1
|
||||
while grid.is_box(row + n * d_row, col + n * d_col):
|
||||
n += 1
|
||||
|
||||
if grid.is_free(row + n * d_row, col + n * d_col):
|
||||
grid.robot = (row + d_row, col + d_col)
|
||||
for k in range(2, n + 1):
|
||||
grid[row + k * d_row, col + k * d_col] = grid[
|
||||
row + (k - 1) * d_row, col + (k - 1) * d_col
|
||||
]
|
||||
grid[row + d_row, col + d_col] = Grid.FREE
|
||||
|
||||
return grid
|
||||
|
||||
def step_part2(self, grid: Grid, move: str):
|
||||
match move:
|
||||
case "^":
|
||||
d_row, d_col = -1, 0
|
||||
case ">":
|
||||
d_row, d_col = 0, 1
|
||||
case "v":
|
||||
d_row, d_col = 1, 0
|
||||
case "<":
|
||||
d_row, d_col = 0, -1
|
||||
case _:
|
||||
assert False
|
||||
|
||||
row, col = grid.robot
|
||||
if grid.is_free(row + d_row, col + d_col):
|
||||
grid.robot = (row + d_row, col + d_col)
|
||||
elif grid.is_block(row + d_row, col + d_col):
|
||||
...
|
||||
elif move in "<>":
|
||||
n = 1
|
||||
while grid.is_open_or_close_box(row, col + n * d_col):
|
||||
n += 1
|
||||
|
||||
if grid.is_free(row, col + n * d_col):
|
||||
grid.robot = (row, col + d_col)
|
||||
for k in range(n, 1, -1):
|
||||
grid[row, col + k * d_col] = grid[row, col + (k - 1) * d_col]
|
||||
grid[row + d_row, col + d_col] = Grid.FREE
|
||||
|
||||
elif move in "^v":
|
||||
n = 1
|
||||
boxes: list[set[int]] = [{col}]
|
||||
while True:
|
||||
to_move = boxes[-1]
|
||||
if any(grid.is_block(row + n * d_row, c) for c in to_move):
|
||||
break
|
||||
if all(grid.is_free(row + n * d_row, c) for c in to_move):
|
||||
break
|
||||
|
||||
as_move: set[int] = set()
|
||||
|
||||
for c in to_move:
|
||||
if grid.is_close_box(row + n * d_row, c):
|
||||
as_move.update({c - 1, c})
|
||||
elif grid.is_open_box(row + n * d_row, c):
|
||||
as_move.update({c, c + 1})
|
||||
|
||||
boxes.append(as_move)
|
||||
n += 1
|
||||
|
||||
if all(grid.is_free(row + n * d_row, c) for c in boxes[-1]):
|
||||
for k, to_move in zip(range(n, 1, -1), boxes[-1:0:-1], strict=True):
|
||||
for c in to_move:
|
||||
grid[row + k * d_row, c] = grid[row + (k - 1) * d_row, c]
|
||||
grid[row + (k - 1) * d_row, c] = Grid.FREE
|
||||
grid.robot = (row + d_row, col + d_col)
|
||||
|
||||
return grid
|
||||
|
||||
def run(
|
||||
self,
|
||||
name: str,
|
||||
grid: Grid,
|
||||
moves: str,
|
||||
fn: Callable[[Grid, str], Grid],
|
||||
generate: bool,
|
||||
) -> tuple[Grid, list[ImageGrid]]:
|
||||
# initialize
|
||||
images: list[ImageGrid] = []
|
||||
|
||||
if generate:
|
||||
images.append(grid.as_numpy())
|
||||
|
||||
self.save_grid(f"initial_grid_{name}.txt", grid)
|
||||
|
||||
for move in self.progress.wrap(moves):
|
||||
self.logger.debug(f"Move '{move}'...")
|
||||
grid = fn(grid, move)
|
||||
|
||||
if generate:
|
||||
images.append(grid.as_numpy())
|
||||
|
||||
self.save_grid(f"final_grid_{name}.txt", grid)
|
||||
|
||||
return grid, images
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
grid_s, moves = input.split("\n\n")
|
||||
moves = "".join(moves.split())
|
||||
|
||||
n_boxes = grid_s.count("O")
|
||||
colors = np.concatenate(
|
||||
[
|
||||
np.array(
|
||||
[[255, 255, 255], [64, 64, 64], [255, 0, 0]],
|
||||
dtype=np.uint8,
|
||||
),
|
||||
np.random.randint(0, 256, size=(n_boxes, 3), dtype=np.uint8),
|
||||
],
|
||||
dtype=np.uint8,
|
||||
)
|
||||
|
||||
grid, images = self.run(
|
||||
"part1",
|
||||
Grid(grid_s.splitlines(), False),
|
||||
moves,
|
||||
self.step_part1,
|
||||
self.files is not None,
|
||||
)
|
||||
if self.files:
|
||||
images = np.stack(images, axis=0)
|
||||
images[images >= 2] = 1 + images[images >= 2] // 2
|
||||
self.files.video("anim_part1.webm", colors[images])
|
||||
yield sum(
|
||||
100 * row + col
|
||||
for row in range(grid.n_rows)
|
||||
for col in range(grid.n_columns)
|
||||
if grid.is_box(row, col)
|
||||
)
|
||||
|
||||
grid, images = self.run(
|
||||
"part2",
|
||||
Grid(grid_s.splitlines(), True),
|
||||
moves,
|
||||
self.step_part2,
|
||||
self.files is not None,
|
||||
)
|
||||
if self.files:
|
||||
images = np.abs(np.stack(images, axis=0))
|
||||
images[images >= 2] = 1 + images[images >= 2] // 2
|
||||
self.files.video("anim_part2.webm", colors[images])
|
||||
yield sum(
|
||||
100 * row + col
|
||||
for row in range(grid.n_rows)
|
||||
for col in range(grid.n_columns)
|
||||
if grid.is_open_box(row, col)
|
||||
)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,62 +1,7 @@
|
||||
import heapq
|
||||
from collections import defaultdict
|
||||
from typing import Any, Iterator, TypeAlias
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
Position: TypeAlias = tuple[int, int]
|
||||
Direction: TypeAlias = tuple[int, int]
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
grid = [list(r) for r in input.splitlines()]
|
||||
n_rows, n_cols = len(grid), len(grid[0])
|
||||
rein = next(
|
||||
(i, j) for i in range(n_rows) for j in range(n_cols) if grid[i][j] == "S"
|
||||
)
|
||||
target = next(
|
||||
(i, j) for i in range(n_rows) for j in range(n_cols) if grid[i][j] == "E"
|
||||
)
|
||||
|
||||
queue: list[tuple[int, Position, Direction, tuple[Position, ...]]] = [
|
||||
(0, rein, (0, 1), (rein,))
|
||||
]
|
||||
|
||||
max_score = n_rows * n_cols * 1000
|
||||
target_score: int = max_score
|
||||
scores: dict[tuple[Position, Direction], int] = defaultdict(lambda: max_score)
|
||||
visited: set[Position] = set()
|
||||
|
||||
while queue:
|
||||
score, pos, dir, path = heapq.heappop(queue)
|
||||
|
||||
if target_score < score:
|
||||
break
|
||||
|
||||
if pos == target:
|
||||
target_score = score
|
||||
visited |= set(path)
|
||||
continue
|
||||
|
||||
scores[pos, dir] = score
|
||||
|
||||
row, col = pos
|
||||
d_row, d_col = dir
|
||||
|
||||
for cost, n_pos, n_dir in (
|
||||
(1, (row + d_row, col + d_col), dir),
|
||||
(1000, pos, (1, 0) if d_row == 0 else (0, 1)),
|
||||
(1000, pos, (-1, 0) if d_row == 0 else (0, -1)),
|
||||
):
|
||||
n_row, n_col = n_pos
|
||||
score_n = score + cost
|
||||
if grid[n_row][n_col] != "#" and score_n < scores[n_pos, n_dir]:
|
||||
heapq.heappush(
|
||||
queue,
|
||||
(score_n, n_pos, n_dir, path + (n_pos,)),
|
||||
)
|
||||
|
||||
assert target_score is not None
|
||||
yield target_score
|
||||
yield len(visited)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -3,128 +3,5 @@ from typing import Any, Iterator
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
def combo(registers: dict[str, int], operand: int):
|
||||
if operand < 4:
|
||||
return operand
|
||||
assert operand < 7
|
||||
return registers["ABC"[operand - 4]]
|
||||
|
||||
|
||||
def adv(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["A"] = registers["A"] >> combo(registers, operand)
|
||||
|
||||
|
||||
def bxl(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["B"] ^= operand
|
||||
|
||||
|
||||
def bst(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["B"] = combo(registers, operand) % 8
|
||||
|
||||
|
||||
def jnz(registers: dict[str, int], operand: int) -> int | None:
|
||||
if registers["A"] != 0:
|
||||
return operand
|
||||
|
||||
|
||||
def bxc(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["B"] = registers["B"] ^ registers["C"]
|
||||
|
||||
|
||||
def bdv(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["B"] = registers["A"] >> combo(registers, operand)
|
||||
|
||||
|
||||
def cdv(registers: dict[str, int], operand: int) -> int | None:
|
||||
registers["C"] = registers["A"] >> combo(registers, operand)
|
||||
|
||||
|
||||
def run(registers: dict[str, int], program: list[int]):
|
||||
outputs: list[int] = []
|
||||
|
||||
def out(registers: dict[str, int], operand: int) -> int | None:
|
||||
outputs.append(combo(registers, operand) % 8)
|
||||
|
||||
instructions = [adv, bxl, bst, jnz, bxc, out, bdv, cdv]
|
||||
|
||||
index = 0
|
||||
while index < len(program):
|
||||
instruction, operand = instructions[program[index]], program[index + 1]
|
||||
|
||||
ret = instruction(registers, operand)
|
||||
|
||||
if ret is None:
|
||||
index += 2
|
||||
else:
|
||||
index = ret
|
||||
|
||||
return outputs
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
register_s, program_s = input.split("\n\n")
|
||||
|
||||
registers = {
|
||||
p[0][-1]: int(p[1].strip())
|
||||
for line in register_s.splitlines()
|
||||
if (p := line.split(":"))
|
||||
}
|
||||
program = [int(c) for c in program_s.split(":")[1].strip().split(",")]
|
||||
|
||||
self.logger.info(f"program ({len(program)}): " + ",".join(map(str, program)))
|
||||
|
||||
instruction_s = [
|
||||
"A = A >> {}",
|
||||
"B = B ^ {}",
|
||||
"B = {} % 8",
|
||||
"JMP {}",
|
||||
"B = B ^ C",
|
||||
"OUT {} % 8",
|
||||
"B = A >> {}",
|
||||
"C = A >> {}",
|
||||
]
|
||||
|
||||
self.logger.info("PROGRAM:")
|
||||
for index in range(0, len(program), 2):
|
||||
self.logger.info(
|
||||
instruction_s[program[index]].format(
|
||||
""
|
||||
if program[index] == 4
|
||||
else (
|
||||
program[index + 1]
|
||||
if program[index] in (1, 3) or program[index + 1] < 4
|
||||
else "ABC"[program[index + 1] - 4]
|
||||
)
|
||||
),
|
||||
)
|
||||
|
||||
yield ",".join(map(str, run(registers.copy(), program)))
|
||||
|
||||
# last instruction is JNZ 0 (jump at the beginning), and it is the only jump
|
||||
# in the program
|
||||
jnz_indices = [i for i in range(0, len(program), 2) if program[i] == 3]
|
||||
assert jnz_indices == [len(program) - 2] and program[-1] == 0
|
||||
|
||||
# previous instruction is dividing A by 8, or A = A >> 3
|
||||
assert program[-4:-2] == [0, 3]
|
||||
|
||||
# previous instruction is a OUT B % 8, and it is the only OUT in the program
|
||||
out_indices = [i for i in range(0, len(program), 2) if program[i] == 5]
|
||||
assert out_indices == [len(program) - 6] and program[len(program) - 5] == 5
|
||||
|
||||
valid: list[int] = [0]
|
||||
for p in reversed(program):
|
||||
new_valid: list[int] = []
|
||||
for v in valid:
|
||||
a_high = v << 3
|
||||
for a_low in range(0, 2**3):
|
||||
registers["A"] = a_high | a_low
|
||||
run(registers, program[:-6])
|
||||
if registers["B"] % 8 == p:
|
||||
new_valid.append(a_high | a_low)
|
||||
valid = new_valid
|
||||
|
||||
assert run(registers | {"A": min(valid)}, program) == program
|
||||
|
||||
yield min(valid)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,58 +1,7 @@
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
from ..tools import graphs
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def print_grid(self, grid: list[tuple[int, int]], n_rows: int, n_cols: int):
|
||||
values = set(grid)
|
||||
if self.files:
|
||||
self.files.create(
|
||||
"graph.txt",
|
||||
"\n".join(
|
||||
"".join(
|
||||
"#" if (row, col) in values else "." for col in range(n_cols)
|
||||
)
|
||||
for row in range(n_rows)
|
||||
).encode(),
|
||||
text=True,
|
||||
)
|
||||
else:
|
||||
for row in range(n_rows):
|
||||
self.logger.info(
|
||||
"".join(
|
||||
"#" if (row, col) in values else "." for col in range(n_cols)
|
||||
)
|
||||
)
|
||||
|
||||
def dijkstra(self, corrupted: list[tuple[int, int]], n_rows: int, n_cols: int):
|
||||
return graphs.dijkstra(
|
||||
(0, 0),
|
||||
(n_rows - 1, n_cols - 1),
|
||||
graphs.make_neighbors_grid_fn(n_rows, n_cols, set(corrupted)),
|
||||
)
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
values = [
|
||||
(int(p[0]), int(p[1])) for r in input.splitlines() if (p := r.split(","))
|
||||
]
|
||||
|
||||
_is_test = len(values) < 100
|
||||
|
||||
n_rows, n_cols, n_bytes_p1 = (7, 7, 12) if _is_test else (71, 71, 1024)
|
||||
|
||||
bytes_p1 = values[:n_bytes_p1]
|
||||
self.print_grid(bytes_p1, n_rows, n_cols)
|
||||
|
||||
path_p1, cost_p1 = self.dijkstra(bytes_p1, n_rows, n_cols) or ((), -1)
|
||||
yield cost_p1
|
||||
|
||||
path = path_p1
|
||||
for b in range(n_bytes_p1, len(values)):
|
||||
if values[b] not in path:
|
||||
continue
|
||||
path, _ = self.dijkstra(values[: b + 1], n_rows, n_cols) or (None, -1)
|
||||
if path is None:
|
||||
yield ",".join(map(str, values[b]))
|
||||
break
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,42 +1,7 @@
|
||||
from functools import cache
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
@cache
|
||||
def is_valid(design: str, towels: tuple[str, ...]) -> bool:
|
||||
if not design:
|
||||
return True
|
||||
|
||||
return any(
|
||||
design.startswith(towel) and is_valid(design[len(towel) :], towels)
|
||||
for towel in towels
|
||||
)
|
||||
|
||||
|
||||
@cache
|
||||
def count_valid(design: str, towels: tuple[str, ...]) -> int:
|
||||
if not design:
|
||||
return 1
|
||||
|
||||
return sum(
|
||||
design.startswith(towel) and count_valid(design[len(towel) :], towels)
|
||||
for towel in towels
|
||||
)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
towels_s, designs_s = input.split("\n\n")
|
||||
|
||||
towels = tuple(s.strip() for s in towels_s.split(","))
|
||||
|
||||
designs = [
|
||||
design
|
||||
for design in self.progress.wrap(designs_s.splitlines())
|
||||
if is_valid(design, towels)
|
||||
]
|
||||
|
||||
yield len(designs)
|
||||
yield sum(count_valid(design, towels) for design in self.progress.wrap(designs))
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,95 +1,7 @@
|
||||
import itertools
|
||||
from collections import Counter
|
||||
from typing import Any, Callable, Iterable, Iterator, Sequence, TypeAlias
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
from ..tools.graphs import dijkstra, make_neighbors_grid_fn
|
||||
|
||||
Node: TypeAlias = tuple[int, int]
|
||||
|
||||
|
||||
def make_neighbors_fn(grid: list[str], cheat_length: int):
|
||||
n_rows, n_cols = len(grid), len(grid[0])
|
||||
|
||||
def _fn(node: Node):
|
||||
row, col = node
|
||||
return (
|
||||
((row_n, col_n), abs(row_n - row) + abs(col_n - col))
|
||||
for row_d in range(-cheat_length, cheat_length + 1)
|
||||
for col_d in range(
|
||||
-cheat_length + abs(row_d), cheat_length - abs(row_d) + 1
|
||||
)
|
||||
if 0 <= (row_n := row + row_d) < n_rows
|
||||
and 0 <= (col_n := col + col_d) < n_cols
|
||||
and grid[row_n][col_n] != "#"
|
||||
)
|
||||
|
||||
return _fn
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def find_cheats(
|
||||
self,
|
||||
path: Sequence[Node],
|
||||
cost: float,
|
||||
costs_to_target: dict[Node, float],
|
||||
neighbors_fn: Callable[[Node], Iterable[tuple[Node, float]]],
|
||||
):
|
||||
cheats: dict[tuple[tuple[int, int], tuple[int, int]], float] = {}
|
||||
|
||||
for i_node, node in enumerate(self.progress.wrap(path)):
|
||||
for reach_node, reach_cost in neighbors_fn(node):
|
||||
n_cost = (
|
||||
i_node + reach_cost + costs_to_target.get(reach_node, float("inf"))
|
||||
)
|
||||
if n_cost < cost:
|
||||
cheats[node, reach_node] = cost - n_cost
|
||||
|
||||
return cheats
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
grid = input.splitlines()
|
||||
n_rows, n_cols = len(grid), len(grid[0])
|
||||
start = next(
|
||||
(i, j) for i in range(n_rows) for j in range(n_cols) if grid[i][j] == "S"
|
||||
)
|
||||
target = next(
|
||||
(i, j) for i in range(n_rows) for j in range(n_cols) if grid[i][j] == "E"
|
||||
)
|
||||
|
||||
reachable = dijkstra(
|
||||
target,
|
||||
None,
|
||||
make_neighbors_grid_fn(
|
||||
n_rows,
|
||||
n_cols,
|
||||
excluded=(
|
||||
(i, j)
|
||||
for i in range(n_rows)
|
||||
for j in range(n_cols)
|
||||
if grid[i][j] == "#"
|
||||
),
|
||||
),
|
||||
)
|
||||
|
||||
# note: path is inverted here
|
||||
path, cost = reachable[start]
|
||||
costs_to_target = {k: c for k, (_, c) in reachable.items()}
|
||||
|
||||
self.logger.info(f"found past from start to target with cost {cost}")
|
||||
|
||||
for cheat_length in (2, 20):
|
||||
cheats = self.find_cheats(
|
||||
list(reversed(path)),
|
||||
cost,
|
||||
costs_to_target,
|
||||
make_neighbors_fn(grid, cheat_length),
|
||||
)
|
||||
|
||||
for saving, count in sorted(Counter(cheats.values()).items()):
|
||||
self.logger.debug(
|
||||
f"There are {count} cheats that save {saving} picoseconds."
|
||||
)
|
||||
|
||||
target_saving = 100 if len(grid) > 20 else 50
|
||||
yield sum(saving >= target_saving for saving in cheats.values())
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,121 +1,7 @@
|
||||
import heapq
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Iterator, Literal, Sequence, TypeAlias, cast
|
||||
from typing import Any, Iterator
|
||||
|
||||
from ..base import BaseSolver
|
||||
|
||||
Action: TypeAlias = Literal[">", "<", "v", "^", "A"]
|
||||
|
||||
NUM_PAD = ((7, 8, 9), (4, 5, 6), (1, 2, 3), (None, 0, "A"))
|
||||
MOV_PAD: tuple[tuple[Action | None, ...], ...] = ((None, "^", "A"), ("<", "v", ">"))
|
||||
|
||||
|
||||
@dataclass(frozen=True, order=True)
|
||||
class Node:
|
||||
robot_1: tuple[int, int] = (0, 2)
|
||||
robot_2: tuple[int, int] = (0, 2)
|
||||
robot_3: tuple[int, int] = (3, 2)
|
||||
|
||||
code: str = ""
|
||||
|
||||
|
||||
def apply_action(
|
||||
robot: tuple[int, int],
|
||||
action: Action,
|
||||
pad: tuple[tuple[int | str | None, ...], ...],
|
||||
):
|
||||
d_row, d_col = {"^": (-1, 0), "v": (1, 0), ">": (0, 1), "<": (0, -1)}[action]
|
||||
row, col = robot[0] + d_row, robot[1] + d_col
|
||||
|
||||
if 0 <= row < len(pad) and 0 <= col < len(pad[row]) and pad[row][col] is not None:
|
||||
return (row, col)
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def create_node(node: Node, action: Action) -> Node | None:
|
||||
# main pad moves -> move first robot
|
||||
if action != "A":
|
||||
robot = apply_action(node.robot_1, action, MOV_PAD)
|
||||
if robot is not None:
|
||||
return Node(
|
||||
robot_1=robot,
|
||||
robot_2=node.robot_2,
|
||||
robot_3=node.robot_3,
|
||||
code=node.code,
|
||||
)
|
||||
|
||||
return None
|
||||
|
||||
# activate pad 1 -> action on robot 1
|
||||
robot_1_action = MOV_PAD[node.robot_1[0]][node.robot_1[1]]
|
||||
assert robot_1_action is not None
|
||||
|
||||
if robot_1_action != "A":
|
||||
robot2 = apply_action(node.robot_2, robot_1_action, MOV_PAD)
|
||||
if robot2 is not None:
|
||||
return Node(
|
||||
robot_1=node.robot_1,
|
||||
robot_2=robot2,
|
||||
robot_3=node.robot_3,
|
||||
code=node.code,
|
||||
)
|
||||
return None
|
||||
|
||||
# activate pad 2 -> action on robot 2
|
||||
robot_2_action = MOV_PAD[node.robot_2[0]][node.robot_2[1]]
|
||||
assert robot_2_action is not None
|
||||
|
||||
if robot_2_action != "A":
|
||||
robot3 = apply_action(node.robot_3, robot_2_action, NUM_PAD)
|
||||
if robot3 is not None:
|
||||
return Node(
|
||||
robot_1=node.robot_1,
|
||||
robot_2=node.robot_2,
|
||||
robot_3=robot3,
|
||||
code=node.code,
|
||||
)
|
||||
return None
|
||||
|
||||
value = NUM_PAD[node.robot_3[0]][node.robot_3[1]]
|
||||
assert value is not None
|
||||
return Node(
|
||||
robot_1=node.robot_1,
|
||||
robot_2=node.robot_2,
|
||||
robot_3=node.robot_3,
|
||||
code=node.code + str(value),
|
||||
)
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def dijkstra_for_code(self, target: str):
|
||||
queue: list[tuple[float, Node, tuple[str, ...]]] = [(0, Node(), ())]
|
||||
preds: dict[Node, tuple[str, ...]] = {}
|
||||
|
||||
while queue:
|
||||
dis, node, path = heapq.heappop(queue)
|
||||
|
||||
if not target.startswith(node.code):
|
||||
continue
|
||||
|
||||
if node in preds:
|
||||
continue
|
||||
|
||||
preds[node] = path
|
||||
|
||||
if node.code == target:
|
||||
self.logger.info(f"found [{target}]: {''.join(path)} ({len(path)})")
|
||||
return path
|
||||
|
||||
for action in cast(Sequence[Action], "A^v<>"):
|
||||
node_2 = create_node(node, action)
|
||||
if node_2:
|
||||
heapq.heappush(queue, (dis + 1, node_2, path + (action,)))
|
||||
|
||||
return None
|
||||
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
yield sum(
|
||||
len(self.dijkstra_for_code(code) or ()) * int(code[:-1], 10)
|
||||
for code in input.splitlines()
|
||||
)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -3,57 +3,5 @@ from typing import Any, Iterator
|
||||
from ..base import BaseSolver
|
||||
|
||||
|
||||
def mix(secret: int, value: int) -> int:
|
||||
return secret ^ value
|
||||
|
||||
|
||||
def prune(secret: int) -> int:
|
||||
return secret % 16777216
|
||||
|
||||
|
||||
def next_number(secret: int) -> int:
|
||||
# Calculate the result of multiplying the secret number by 64. Then, mix this
|
||||
# result into the secret number. Finally, prune the secret number.
|
||||
secret = prune(mix(secret, secret * 64))
|
||||
|
||||
# Calculate the result of dividing the secret number by 32. Round the result down
|
||||
# to the nearest integer. Then, mix this result into the secret number. Finally,
|
||||
# prune the secret number.
|
||||
secret = prune(mix(secret, secret // 32))
|
||||
|
||||
# Calculate the result of multiplying the secret number by 2048. Then, mix this
|
||||
# result into the secret number. Finally, prune the secret number.
|
||||
secret = prune(mix(secret, secret * 2048))
|
||||
|
||||
return secret
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
starts = [int(r) for r in input.splitlines()]
|
||||
|
||||
ends: list[int] = []
|
||||
prices: list[int] = [0 for _ in range(2**16)]
|
||||
|
||||
for secret in self.progress.wrap(starts):
|
||||
checked: list[bool] = [False] * len(prices)
|
||||
hashed: int = 0
|
||||
|
||||
for i in range(2000):
|
||||
last = secret % 10
|
||||
secret = next_number(secret)
|
||||
next = secret % 10
|
||||
|
||||
hashed = ((hashed << 4) & 0xFFFF) | ((last - next) & 0xF)
|
||||
|
||||
if i >= 3 and not checked[hashed]:
|
||||
checked[hashed] = True
|
||||
prices[hashed] += next
|
||||
|
||||
ends.append(secret)
|
||||
|
||||
for start, end in zip(starts, ends, strict=True):
|
||||
self.logger.info(f"{start}: {end}")
|
||||
|
||||
yield sum(ends)
|
||||
yield max(prices)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -4,64 +4,4 @@ from ..base import BaseSolver
|
||||
|
||||
|
||||
class Solver(BaseSolver):
|
||||
def solve(self, input: str) -> Iterator[Any]:
|
||||
blocks: list[tuple[int, int]] = []
|
||||
frees: list[tuple[int, int]] = []
|
||||
|
||||
contents_0: list[int | None] = [None for _ in range(sum(map(int, input)))]
|
||||
|
||||
acc = 0
|
||||
for i, c in enumerate(input):
|
||||
if i % 2 == 0:
|
||||
for j in range(acc, acc + int(c)):
|
||||
contents_0[j] = i // 2
|
||||
blocks.append((acc, int(c)))
|
||||
else:
|
||||
frees.append((acc, int(c)))
|
||||
acc += int(c)
|
||||
|
||||
assert contents_0[-1] is not None
|
||||
|
||||
contents = contents_0.copy()
|
||||
|
||||
free_0 = next(i for i, c in enumerate(contents) if c is None)
|
||||
next_b = len(contents) - 1
|
||||
|
||||
while free_0 < next_b:
|
||||
contents[free_0], contents[next_b] = contents[next_b], contents[free_0]
|
||||
|
||||
free_0 += 1
|
||||
while free_0 < len(contents) and contents[free_0] is not None:
|
||||
free_0 += 1
|
||||
|
||||
next_b -= 1
|
||||
while next_b >= 0 and contents[next_b] is None:
|
||||
next_b -= 1
|
||||
|
||||
yield sum(i * c for i, c in enumerate(contents) if c is not None)
|
||||
|
||||
contents = contents_0.copy()
|
||||
|
||||
for block_start, block_length in self.progress.wrap(blocks[::-1]):
|
||||
try:
|
||||
i_free = next(
|
||||
i_free
|
||||
for i_free, (free_start, free_length) in enumerate(frees)
|
||||
if free_start < block_start and free_length >= block_length
|
||||
)
|
||||
except StopIteration:
|
||||
continue
|
||||
|
||||
free_start, free_length = frees[i_free]
|
||||
|
||||
contents[free_start : free_start + block_length] = contents[
|
||||
block_start : block_start + block_length
|
||||
]
|
||||
contents[block_start : block_start + block_length] = [None] * block_length
|
||||
|
||||
if free_length == block_length:
|
||||
del frees[i_free]
|
||||
else:
|
||||
frees[i_free] = (free_start + block_length, free_length - block_length)
|
||||
|
||||
yield sum(i * c for i, c in enumerate(contents) if c is not None)
|
||||
def solve(self, input: str) -> Iterator[Any]: ...
|
||||
|
||||
@ -1,15 +1,107 @@
|
||||
import argparse
|
||||
import importlib
|
||||
import json
|
||||
import logging
|
||||
import logging.handlers
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any, Iterable, Iterator, Literal, Sequence, TextIO, TypeVar
|
||||
|
||||
from tqdm import tqdm
|
||||
|
||||
from .base import BaseSolver
|
||||
from .utils.api import FileHandlerAPI, LoggerAPIHandler, ProgressAPI, dump_answer
|
||||
from .utils.files import SimpleFileHandler
|
||||
from .utils.progress import ProgressNone, ProgressTQDM
|
||||
|
||||
_T = TypeVar("_T")
|
||||
|
||||
|
||||
def dump_api_message(
|
||||
type: Literal["log", "answer", "progress-start", "progress-step", "progress-end"],
|
||||
content: Any,
|
||||
file: TextIO = sys.stdout,
|
||||
):
|
||||
print(
|
||||
json.dumps(
|
||||
{"type": type, "time": datetime.now().isoformat(), "content": content}
|
||||
),
|
||||
flush=True,
|
||||
file=file,
|
||||
)
|
||||
|
||||
|
||||
class LoggerAPIHandler(logging.Handler):
|
||||
def __init__(self, output: TextIO = sys.stdout):
|
||||
super().__init__()
|
||||
self.output = output
|
||||
|
||||
def emit(self, record: logging.LogRecord):
|
||||
dump_api_message(
|
||||
"log", {"level": record.levelname, "message": record.getMessage()}
|
||||
)
|
||||
|
||||
|
||||
class ProgressAPI:
|
||||
def __init__(
|
||||
self,
|
||||
min_step: int = 1,
|
||||
min_time: timedelta = timedelta(milliseconds=100),
|
||||
output: TextIO = sys.stdout,
|
||||
):
|
||||
super().__init__()
|
||||
|
||||
self.counter = 0
|
||||
self.output = output
|
||||
self.min_step = min_step
|
||||
self.min_time = min_time
|
||||
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
total = total or len(values) # type: ignore
|
||||
|
||||
current = self.counter
|
||||
self.counter += 1
|
||||
|
||||
dump_api_message("progress-start", {"counter": current, "total": total})
|
||||
|
||||
try:
|
||||
percent = 0
|
||||
time = datetime.now()
|
||||
|
||||
for i_value, value in enumerate(values):
|
||||
yield value
|
||||
|
||||
if datetime.now() - time < self.min_time:
|
||||
continue
|
||||
|
||||
time = datetime.now()
|
||||
|
||||
c_percent = round(i_value / total * 100)
|
||||
|
||||
if c_percent >= percent + self.min_step:
|
||||
dump_api_message(
|
||||
"progress-step", {"counter": current, "percent": c_percent}
|
||||
)
|
||||
percent = c_percent
|
||||
finally:
|
||||
dump_api_message(
|
||||
"progress-end",
|
||||
{"counter": current},
|
||||
)
|
||||
|
||||
|
||||
class ProgressTQDM:
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
return iter(tqdm(values, total=total))
|
||||
|
||||
|
||||
class ProgressNone:
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
return iter(values)
|
||||
|
||||
|
||||
def main():
|
||||
@ -17,13 +109,6 @@ def main():
|
||||
parser.add_argument("-v", "--verbose", action="store_true", help="verbose mode")
|
||||
parser.add_argument("-t", "--test", action="store_true", help="test mode")
|
||||
parser.add_argument("-a", "--api", action="store_true", help="API mode")
|
||||
parser.add_argument(
|
||||
"-o",
|
||||
"--output",
|
||||
type=Path,
|
||||
default=Path("files"),
|
||||
help="output folder for created files",
|
||||
)
|
||||
parser.add_argument(
|
||||
"-u", "--user", type=str, default="holt59", help="user input to use"
|
||||
)
|
||||
@ -50,14 +135,14 @@ def main():
|
||||
test: bool = args.test
|
||||
stdin: bool = args.stdin
|
||||
user: str = args.user
|
||||
files_output: Path = args.output
|
||||
input_path: Path | None = args.input
|
||||
|
||||
year: int = args.year
|
||||
day: int = args.day
|
||||
|
||||
# TODO: change this
|
||||
logging.basicConfig(
|
||||
level=logging.INFO if verbose else logging.WARNING,
|
||||
level=logging.INFO if verbose or api else logging.WARNING,
|
||||
handlers=[LoggerAPIHandler()] if api else None,
|
||||
)
|
||||
|
||||
@ -81,11 +166,7 @@ def main():
|
||||
else ProgressTQDM()
|
||||
if verbose
|
||||
else ProgressNone(), # type: ignore
|
||||
files=FileHandlerAPI(files_output)
|
||||
if api and verbose
|
||||
else SimpleFileHandler(logging.getLogger("AOC"), files_output)
|
||||
if verbose
|
||||
else None,
|
||||
outputs=not api,
|
||||
)
|
||||
|
||||
data: str
|
||||
@ -108,11 +189,14 @@ def main():
|
||||
current = datetime.now()
|
||||
|
||||
if api:
|
||||
dump_answer(
|
||||
part=i_answer + 1,
|
||||
answer=answer,
|
||||
answer_time=current - last,
|
||||
total_time=current - start,
|
||||
dump_api_message(
|
||||
"answer",
|
||||
{
|
||||
"answer": i_answer + 1,
|
||||
"value": str(answer),
|
||||
"answerTime_s": (current - last).total_seconds(),
|
||||
"totalTime_s": (current - start).total_seconds(),
|
||||
},
|
||||
)
|
||||
else:
|
||||
print(
|
||||
|
||||
@ -1,18 +1,6 @@
|
||||
from abc import abstractmethod
|
||||
from logging import Logger
|
||||
from pathlib import Path
|
||||
from typing import (
|
||||
Any,
|
||||
Final,
|
||||
Iterable,
|
||||
Iterator,
|
||||
Protocol,
|
||||
Sequence,
|
||||
TypeVar,
|
||||
overload,
|
||||
)
|
||||
|
||||
from numpy.typing import NDArray
|
||||
from typing import Any, Final, Iterable, Iterator, Protocol, Sequence, TypeVar, overload
|
||||
|
||||
_T = TypeVar("_T")
|
||||
|
||||
@ -25,56 +13,6 @@ class ProgressHandler(Protocol):
|
||||
def wrap(self, values: Iterable[_T], total: int) -> Iterator[_T]: ...
|
||||
|
||||
|
||||
class FileHandler:
|
||||
@abstractmethod
|
||||
def make_path(self, filename: str) -> Path: ...
|
||||
|
||||
@abstractmethod
|
||||
def notify_created(self, path: Path): ...
|
||||
|
||||
@abstractmethod
|
||||
def _create(
|
||||
self, path: Path, content: bytes, text: bool = False
|
||||
) -> Path | None: ...
|
||||
|
||||
def create(self, filename: str, content: bytes, text: bool = False):
|
||||
path = self._create(self.make_path(filename), content, text)
|
||||
|
||||
if path is not None:
|
||||
self.notify_created(path)
|
||||
|
||||
def image(self, filename: str, image: NDArray[Any]):
|
||||
import imageio.v3 as iio
|
||||
from pygifsicle import optimize # type: ignore
|
||||
|
||||
path = self.make_path(filename)
|
||||
|
||||
iio.imwrite(path, image) # type: ignore
|
||||
optimize(path, options=["--no-warnings"])
|
||||
|
||||
self.notify_created(path)
|
||||
|
||||
def video(self, filename: str, video: NDArray[Any]):
|
||||
import cv2
|
||||
|
||||
path = self.make_path(filename)
|
||||
fps = 5
|
||||
out = cv2.VideoWriter(
|
||||
path.as_posix(),
|
||||
cv2.VideoWriter_fourcc(*"vp80"), # type: ignore
|
||||
fps,
|
||||
(video.shape[2], video.shape[1]),
|
||||
True,
|
||||
)
|
||||
|
||||
for picture in video:
|
||||
out.write(picture)
|
||||
|
||||
out.release()
|
||||
|
||||
self.notify_created(path)
|
||||
|
||||
|
||||
class BaseSolver:
|
||||
def __init__(
|
||||
self,
|
||||
@ -83,14 +21,14 @@ class BaseSolver:
|
||||
year: int,
|
||||
day: int,
|
||||
progress: ProgressHandler,
|
||||
files: FileHandler | None = None,
|
||||
outputs: bool = False,
|
||||
):
|
||||
self.logger: Final = logger
|
||||
self.verbose: Final = verbose
|
||||
self.year: Final = year
|
||||
self.day: Final = day
|
||||
self.progress: Final = progress
|
||||
self.files: Final = files
|
||||
self.outputs = outputs
|
||||
|
||||
@abstractmethod
|
||||
def solve(self, input: str) -> Iterator[Any] | None: ...
|
||||
|
||||
@ -1,49 +0,0 @@
|
||||
jio a, +19
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
tpl a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
jmp +23
|
||||
tpl a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
inc a
|
||||
inc a
|
||||
tpl a
|
||||
tpl a
|
||||
inc a
|
||||
jio a, +8
|
||||
inc b
|
||||
jie a, +4
|
||||
tpl a
|
||||
inc a
|
||||
jmp +2
|
||||
hlf a
|
||||
jmp -7
|
||||
@ -1,28 +0,0 @@
|
||||
1
|
||||
3
|
||||
5
|
||||
11
|
||||
13
|
||||
17
|
||||
19
|
||||
23
|
||||
29
|
||||
31
|
||||
41
|
||||
43
|
||||
47
|
||||
53
|
||||
59
|
||||
61
|
||||
67
|
||||
71
|
||||
73
|
||||
79
|
||||
83
|
||||
89
|
||||
97
|
||||
101
|
||||
103
|
||||
107
|
||||
109
|
||||
113
|
||||
@ -1 +0,0 @@
|
||||
To continue, please consult the code grid in the manual. Enter the code at row 3010, column 3019.
|
||||
@ -1,94 +0,0 @@
|
||||
<[<<({{<{<[[([()][()()])<{[]<>}{<>}>><<<[]{}>>{<<><>>({}{})}>][<<<{}<>>([])>{<{}><()>}>]><(<{(()[]){[](
|
||||
<{([({{[(<[({({}{})[()<>]}{{<>{}}[(){}]})]>({(<<<><>>{{}()}>)<<<[]><{}<>>><[{}[]]<<>[]>>>}))[{(<{([]
|
||||
([<([({(<([<({()()}(<>[]))[<[]()>{<>{}}]>]<{{{{}{}}{()()})({[]}[<>{}])}>)>)}){<<{{(<<<()<>><<><>>>
|
||||
[{{[<<[{([[{{[<>{}]<()<>>}[(()<>)[{}<>]]}<<[{}[]]([]<>)>{{[]{}}{()()}}>]][[{<({}{})<[]{}>>
|
||||
<<{{<([(((([{<[]<>>{()<>}}(<<>[]>{(){}})]([{{}<>}<[]>](<[][]><{}()>)))))[({{{<[]{}>[()]}<<<><>>
|
||||
<(<[{(<[{{{<{[[]<>]{<>()}}><[[{}()][(){}]]>}}<[<[<()()>({}<>)]><[{[]()}([][])](<(){}>[<><>])>]{
|
||||
{[[<{{<<[[<<(({}<>){<><>})[[<>()][[]{})]>[[[{}[]]<<>>]{(<>[])}]>{{<<()[]>{<>{}}>[{[]<>}<[]{}>]
|
||||
({[((((([{[({[{}[]]<[]()>}[({}{})<<>[]>])<[(()[])<{}()>]{[[]<>]{[]()})>](([({}<>)(()[])][<[]{}>])
|
||||
{[[{[({(<<{<([{}<>])<({}<>)({}<>}>>[<[{}()]([]<>)>((<>())<[]{}>)]}<([(<>())[(){}]]{[{}<>]<[][]>}){<{<><
|
||||
(<{<<[<<([[([<<><>>]<<{}()><[]<>>>)]][{(({<>{}}(()())))(<[()()]<[]()>>)}[[<<<>()><<>{}>>([{}<>][{}[]])]{<{(
|
||||
<<[({{{{{[<([((){})([]())]<((){})({}[])>)[{[{}()]{[]<>}}]>([<{{}<>}><({}<>)({}[])>]<[{<>{}}
|
||||
(([[{{({{{[<<{[]()}({})>{{{}()}[[]<>]}>{<([])>[[[]{}]]}](([<[]{}>]<<[]<>><{}[]>>))}}}(([[[{[<><>
|
||||
<<[(<[{{<((<[<()>[<><>]][[<><>]([]())]>[({<>})<<()<>><{}[]>>])[[(<[]<>>([]())){{<>[]}(()())}]]){(<(<[]<>>
|
||||
({[<<[[{<[[{{[()()]{()[]}}}]<{([{}{}]{[]()})[[()[]]<<>>]}>]>}[({((<{<><>)>{{[]()}{{}[]}}){([{}[]]<{}{}>)<
|
||||
([{{<{[(<[<<[({}())({}())]>>[{[<<>[]>[<>()]]<(<>[]){()[]}>}(<<<>[]>[<>[]]>{<<>[]>{{}()}})]]{
|
||||
<[{{<[((<([[{<<><>>{()}}{<{}[]><[]()]}]])<{({<()>{()[]}}(<(){}><[]<>>)){[({}[]){<>[]}]}}<<([()()]<()(
|
||||
<{<{[(({(({({<[]>([])}<<()<>>{<>()}>){[[()[]]<{}()>]{({}[])[()<>]}}}<[<<{}()><[]{}>>({[][]}[()<>])}{<<[]
|
||||
<[{{[<({(<[<[[()<>]({}[])]([{}[]]([]))>]{[{{<>[]}[[]{}]}(({}<>)<()[]>)]<<[()[]]>({(){}}<{}()>)>}>)}<<[[[[<<>(
|
||||
{{<(<[((({(<[<[]{}>[(){}]](<{}<>>((){}))>){(({[]{}}<{}[]>){{<><>}[[]{}]}))}<([<(<>)>[<<>{}>[{}
|
||||
<([({[<[(({[(({}))(<{}()><<>{}>)]<[{{}[]}{{}<>}]{[{}()]{{}()}}>})([[<(<>())({}{})>[<[]<>>[
|
||||
{((<<<{<(<[[[<{}<>}]<(<><>)>]]<(([(){}]{[]()}))<({{}<>}<()<>>){<()<>>{(){}}}>>>{({({()[]}[<>
|
||||
([<[[((<(<[<([{}[]])>{<(()<>)((){})>{<<>>(()<>)}}][{[(<>[])(<>[])]}[[{{}[]}[()()]]<<[]<>>{(){}}>]]><({(
|
||||
[{<([[[{([{<<([]<>){<><>}>[<(){}>]><{[<>[]](()<>)}[{()()}]>}<({{{}{}}}{[{}{}]<<>()>})<(<[]<
|
||||
(<({[{{[[(<[<(<>[])[[][]]>]{((<>[])({}<>))({[]<>})}>({<[()[]]]<{()[]}>})){(<(<<>[]>[<>{}])>{[({}<
|
||||
(<{<(({[(({[[<<>{}>({}<>)]{({}{}){(){}}}]{(<(){}>[[][]])<{()<>}>}}[[[{[]{}}[()]]](([[]()][(){}]))])
|
||||
([({<{[{<[{<({{}()}{{}()})>}]>}<<[[{{((){})<<>{}>}(({}[]){<>[]})}]]><[{{<({}<>)(()())>[{<>()}{{}()}]}{<{
|
||||
<[{[({[<<[[<<{{}{}}<{}{}>>([<>][(){}])><<<{}{}>>>]]{([{[[]()][[][]]}<{[]<>}>]<<[<>[]][[]()]><<()[
|
||||
[{({{{<<{[{([[()]({}[])]{[()()]})(((<>{})[[][]])<{{}{}}>)}]}>>}[((({{<([[]()][[]])}}{{<({}[])[{}
|
||||
{[({<{<<{[(([<<>[]>({}{})>))]{(<{{{}<>}<<>{}>}>)}}><(<(({([]())(<>[])}{{[]()}{[][]}})<{(()[])[<>{}]}>){({
|
||||
[<((<[<<(<<{<(<>)<[]{}>>[<[]{}><[]()>]}<((()[])((){}))[({}[]){[]{}}]>>([<[{}()][[]{}]>{{()[]}}][{[{}<>]<[]<
|
||||
[<[({({[([{<(([]<>)({}[]))<{{}[]}[<>[]]>><[<{}[]>({}<>)]<(())>>]]([[[{[]<>}({}[])](<[]{}>{<>()
|
||||
{[<<{(<[{(<[({[]{}}{[]{}}}]({<()[]><<>[]>}{<[]()>[{}{}]})>)}{[{(((<><>))(<[]<>>(()[])))[[<[]()>[{}()]](((
|
||||
({[<<([[{(<<<{<>()}<{}<>>>[[[]{}){()}]><[[(){}]<[]<>>]({(){}}[[]{}])>>{[{[()<>][{}()]}][[[{}{}]<<>()
|
||||
([(<((<{[[[[[{{}()}{()[]}]]<([[]<>])<[()<>][[][]]>>]][{([{()[]}(()[])]({<>{}}{[]()}))}({([[]
|
||||
(({{[<<{(([{<{()()}[[]()]>{<()<>>[[]{}]}}{[<()()>[[]{}]]{([]())({}[])}}][(<{<>[]}[()()]><<()>(()())>)
|
||||
[<(<{{{<{(<{(<<>[]><<>()>){<{}()><()<>>}}(<[<>{}]{<>{}}><[{}{}][<>()]>)>)}{{{(<(<><>)(<>())><{[]}([][
|
||||
<<<{([[<[[[(([[]{}])<({}())(<>())>)({[<>{}]{[]()}}<<(){}>{(){}}>)]{([(()()>({}[])]((<><>)<
|
||||
{{({<<<[[<(<{{{}<>}({}[])}{<{}<>><<>()>}>{({{}<>}({}()}){[[]<>]([]{})}}){{[[[][]](()())]}([<<>{}
|
||||
<<[[<{{({<{[{<<>()><()()>}<[()<>]<()()>>]{(([]<>)[{}[]]){{{}<>}{[]<>})}}>{{<[<{}<>>({}())]
|
||||
({[<[[{<<{{[{(<>{})}]{<[{}{}][[]()]>[[[]{}][()()]]}}[(<<{}[]>{<>[]}>{{{}<>}[(){}]}){{[<>{}]<{}{}>}{
|
||||
(([<{<[[([[(((()<>))({{}[]}<()<>>))[[({}[])(())]<{(){})>]][{((()){[]()}){{()<>}{<><>}}}[{{()}{()[]}}]]]){{(({
|
||||
{<[{(<[{[{{[<([]<>)<{}<>>>]}}]}]><{{<[[([{<>()}[[]{}]]({{}()}{<>{}}))]{([<[]{}>(()<>)]<[[]<>]([])
|
||||
{[<<[<(<[{<<[{{}()}{<>{}}](<{}<>>({}<>))>><{<({}[])<()<>>>[[<>[]][<><>]]}[<(<><>){{}<>}>[<[]()>{[]}]]>}]{[<{<
|
||||
(<({{[{<(<<<{[{}<>]({}[])}{[[]{}]<()[]>}>(<[[]()][()()]><[()[]][<>()]>)>>[(<<<{}()>{<><>}>>){<<{<><>}(
|
||||
(<{[[{{<(<(<({{}<>}{{}()}){[()<>]<{}[]>}>[(<{}{}><[]()>)<({}<>){()()}>]){[[([]{}){{}[]}]<[{}{}]<[][]>>][{<()
|
||||
[(<([({[[[<[[[[][]][{}{}]]([{}()]{<>{}})]{<{()()}<()<>>><{{}<>}<(){}>>}>]{{[([[][]]<()()>)
|
||||
(<(<<({{(<[{{[()<>][<>{}]}[<[]<>>]}<<{[]{}}>[[{}()]{()()}]>]{[([()()]<<>>)({()<>}[<>[]])][{{[][]}(<>())}
|
||||
[[((({(({{{[{{<>[]}[<>{}]}[[{}<>]([]())]][{(<><>)}]}][(<{{[][]}(<><>)}<[[]()]>>([[{}()]<[]<>>][<[][]>[()()]])
|
||||
<{({(([((<[<{(()[])<[][]>}{<<><>><[]<>>}><<([]<>)([]<>)>>]{[<([]{}]{<>{}}>]}>[{[(([]{})[{}{}])[<<>{}
|
||||
{(([<{(({<({{{{}{}}}[[[]]{[]()}]}{<[[]]<<>()>>(<()>[()<>])})>{{[(([]<>){{}()}){[{}]{{}<>}}]}([[([]{})]<[[](
|
||||
<{[({<{[[[{{{[{}{}]}}([<[][]>[<>[]}][<<>()>{()}])}((<({}[])[<><>]>(((){})[{}()]))[[<{}[]>[(
|
||||
{<[([(<((<<<<[{}[]]({}{})>((()())[(){}])><([[]{}][()<>])<<<>[]>([]<>)>>><[[((){}){[][]}}{[[]]
|
||||
[{(<{<{<<({({(()<>){{}[]}}([[]()]{()<>}))(([[]<>](())))}<{({()[]}{[][]})}])>>}>(({[{[{{([]())(<><>)
|
||||
<[[<([<<({[[(<[]()><<><>>)({<>})]{{<<><>>[()[]]}([()<>](()[]))}]((<{<>{}}<(){}>>))}<<[(<(){}><<>{}>)[[()[
|
||||
<[{<<<{[{<{(<[<>{}][{}()]>((<>[])[<><>]))<[({}<>)<<>[]>]<(<><>)(<>{})>>}({<<[][]>([]<>)>([<>{}><<>[]>
|
||||
[<<(<{((<([<({{}{}](<>[]))[[()<>]([][])]>((([])<(){}>))]){<{{<()[]>(()<>)}(<[]<>>([][]))}><[([(
|
||||
{[[[{{<[[{<[<<<>[]>{<><>}>{<<>{}><[]<>>}]((<{}()>(<>[])))><<{<<>{}>{(){}}}([{}{}]<<>()>)><[{<>{}}]>>}]
|
||||
((((([[(([{<({()[]}<()<>>)><<<<>()>({}{})>{{(){}}(<>[])}>}<<<{<><>}>><(((){})<[]()>){{()()}({}<>)}>
|
||||
<<[<[{<[<[<{[[()[]]({}[])]{<{}<>>[{}{}]}}[([[][]])[([]())[[]<>]]]>[(<<{}()>(()<>)>{{[]{}}<{}{}>})({([
|
||||
[{<(<{(<[<[[[{()<>}[[][]]][(()<>){{}[]}]](<{<>{}}[()[]]>(<[]>[{}()]))]([([<>{}]<()[]>){{<>{}}{()
|
||||
<[<({<({[{({{(<>{}){[]()}}<{[]<>}[(){}]>}({[<>[]]{[]<>}}))<{([{}[]])(({}[]){(){}})}[{[[]<>]}[({}())[(){}]]]
|
||||
[[[{<[((<[<{([[]<>]{<><>})<<{}[]>[[][]]>}{[[<>{}]]<<{}>([]<>)>}>{<{{<>[]}}[(<><>)[[]<>]])<{[(){}]<()()>}>}]{{
|
||||
([(<({[[{<([{{<>{}}([]<>)}[[{}[]]{<>{}}]](<[{}<>]{[]()}><((){})[[][])>)){({{{}{}}{{}{}}}[<{}{}>({}<
|
||||
<[{(((({[[{{({{}[]]<<>>)<{[]()}<()<>>>}((<(){}>([]{})))}{({[()()]([]<>)}<([]<>)[()()]>)<[{{}[
|
||||
<[({[<<<<{[({{(){}}[{}<>}}(<<>[]>[[]()])){(<()[]><<>()>)}]}><({<[{()()}]({[]{}}<{}>)>[({[]
|
||||
<<([[<{{([{<{([]{})[(){}]}{([]{})<{}[]>}><<(<>{})[<>()]>({{}<>})>}<[(<<>()><{}()>)<{()<>}<<>>
|
||||
<[[[({[({<[{((<>[]]<{}<>>){<<>()>{[]()}}}<{<{}{}>[<>{}]}{{{}[]}{{}()}}>]{<{{()()}<[]<>>}((
|
||||
[[({(([[(([<[([]<>){{}()}]>(<{{}{}}(()<>)>[{<><>}{{}<>}])]{{<[[]<>]>[[{}()]]}([<{}()>][([]{})<{}
|
||||
<(([<{([[<[((([]<>)<<><>>){[[]()]({}{})})({{(){}}((){}]}({{}()}))]([<{<>()}<[]{}>><{[]{}}<(){}>>])>
|
||||
<<[[{<<{[(<<{{[][]}[[]<>]}<<[][]><<>[]>]>([{<>}[<>[]]]{{[]()}<{}()>})>{({({}<>){[]<>}}[{<>{}}[<>[]]
|
||||
((<<<<[[(({[[<()<>>[(){}]]{(<>()){<>{}}}]}{(([<>[]><<>()>)<<(){}><()()>>)[(<{}{}>((){}))[{[][]}(()<>)]]})){
|
||||
[({(<{{<<<{<[{[]()}<<><>>][[()[]][<>[]]]>}>([([<[]<>>]{<<>()><()<>>})({<{}[]><()()>}[[[]()]])]<{<(()
|
||||
([(<({[([{{{((()())[<>[]]){{[]<>}[{}{}]}}([{()<>}<{}()>])}}<{[({(){}}(<><>)}<(<>())>][<[(){}]{(){}}
|
||||
{[[{((((([[{{[[]{}]({}{})}{[[]<>](()[])}}[{[()()]}((<>{})<(){}>)]]{(<{<>()}<(){}>>){(<{}()>{{}<>})({<>(
|
||||
([[{<[<[[<<{<{()<>}[<>()]>[[[]{}]{{}{}}]}<[{{}[]}]>>{<{{<>{}}([]())}>[(<<>()>)(<{}()>[<>()])]}>{({<[()<>]
|
||||
{(([{[{{(({(<[()[]][<>[]]>)<[(()<>){{}{}}]>}[(<<{}{}><{}<>>>){<[()()]<()()>>({[][]}<<><>>)}
|
||||
<[{<(<<[{[({[({}<>)<<>[]>](<<>()>(<><>))})[([{<><>}<()()>])]]}]><<[<({{{<>}}<([]][<>{}]>}[<(())<<><>>>])
|
||||
(<(({<[[{{[<[{<>[]}[()<>])((()()){{}[]})>]}}]]((<<<((({}{})<{}>){{{}<>}{<>}})[({{}()}{<>()}){{{}()}}]
|
||||
{[<[{(([<[{{[([]{})<[][]>]{([][])[()<>]}}<<(()<>)>>}[[(({}{}){{}<>})]]]{{[(<{}{}>[{}()])({()()}
|
||||
[{{((<<[[((<<{[]<>}<{}>>(<{}<>>{[]()})>({<()>([][])><[{}{}]{{}()}>))(({([]<>)([]())}<{[][]}<()>>)
|
||||
({([{({[({[<({{}{}}([]()))(((){}){{}{}}>>({(()()){{}()}})]<[[{{}{}}<{}[]>]{<[][]><<>[]>}]({<<>[]>
|
||||
{[({[{{[<[{([<{}{}>[(){}]](<{}<>>{{}()}))([([]()){()[]}]([{}<>]{<>{}}))}]>[{{[[{[][]}]]<((()[])([]{}))<[()
|
||||
[[(({{{(([[[{[()()]([]())}((<>){{}{}])]]({<[<>]({}{})>([<>{}]{{}{}})})]))}[(<[[(([[][]]{<>{}}){{(){}}})
|
||||
<(<({<{<[<(<{<()><<><>>}<<{}[]>([]<>)>>)<{<{[]{}}[{}()]>}([(()[]){[]<>}]{{<>()}{{}<>}})>}{[[{(()[]){(
|
||||
[(<(<([{<[{<(<()>([]<>))[{()()}<{}<>>]><{([]())<<>()>}(<{}{}>[()[]])>}]<{<({[][]}<[]()>){{{}[
|
||||
[<({<{(<<[[[<{()[]}{{}[]}>{[<><>]}]{[<()<>>({}<>)]}]][[{<[<>[]>([]())><{()()}{[]{}}>}([({}{})[[](
|
||||
<<[[{{<<([[{[(()())[()]][[{}[]]{{}}]}[[({}<>){[]{}}]{{<><>}[()[]]}]]{<[(<>())]>{({{}()}(()<>))}}])
|
||||
{<[{({[({{<({[{}()]([][])}([{}<>]{[]()}))[<(<><>)([]{})><{()()}(<>[])>]>{{(<[]<>>[{}])}[<{(){}}(<>
|
||||
<{{(({([[<[{<(<>)([]{})>{<<>{}>{(){}}}}]{[<([]{})<{}{}>>[[<>{}]{()<>}]][{{<><>}([]())}({()<>}<()>)]}>]
|
||||
{<{[{[({[(({<[{}()]({}[]}>[<()>]}{(<<>>)}))]})]{<{<{[[{(<>())[()[]]}[[{}{}][[]]]][([[]()]<{}<>>)[<[]{}>([]<>
|
||||
((<{{<[[<{{([([]{})<<>()>]<(<>{})(()<>)))([{()()}(<><>)]<(<>)(<>{})>)}([<{(){}}<<>{}>>]<[([]<
|
||||
[<<<{(((<<{([<()[]>({})]({<>()}(()())))({([])<<>>}((()[])[()[]]))}{<[<{}()>]<[{}{}]({}<>)>>{<<
|
||||
[[[<<<<[{(<<[{{}[]}]<(<><>)(<>[])>><<<<><>][[][]]>(([]{}))>>([<[[]<>]<[]<>>><{()<>}([][])>]))}<(
|
||||
<<{[[[{{{{[[(([]{}))([<>[]]<()>)][{(<>()){[]()}})]{(({<><>}{<>[]})[<<>[]>[()()]])}}}<{(<((<><>)(<>{}))<{
|
||||
@ -1,10 +0,0 @@
|
||||
4738615556
|
||||
6744423741
|
||||
2812868827
|
||||
8844365624
|
||||
4546674266
|
||||
4518674278
|
||||
7457237431
|
||||
4524873247
|
||||
3153341314
|
||||
3721414667
|
||||
@ -1,26 +0,0 @@
|
||||
xq-XZ
|
||||
zo-yr
|
||||
CT-zo
|
||||
yr-xq
|
||||
yr-LD
|
||||
xq-ra
|
||||
np-zo
|
||||
end-LD
|
||||
np-LD
|
||||
xq-kq
|
||||
start-ra
|
||||
np-kq
|
||||
LO-end
|
||||
start-xq
|
||||
zo-ra
|
||||
LO-np
|
||||
XZ-start
|
||||
zo-kq
|
||||
LO-yr
|
||||
kq-XZ
|
||||
zo-LD
|
||||
kq-ra
|
||||
XZ-yr
|
||||
LD-ws
|
||||
np-end
|
||||
kq-yr
|
||||
@ -1,50 +0,0 @@
|
||||
14567892107654348943218769016567650154541210421036
|
||||
03456783298993267654309458122168743243450344323145
|
||||
12567654456780154327812367433059804012769455410234
|
||||
03498012349876065016901056544965418765898766708943
|
||||
12345101212145076545411034545878329658981055899854
|
||||
09876876705034187632110123656789421047432765988765
|
||||
67878965896123298901001656743078431236598894012034
|
||||
50965014387654567650012349856127340012367653213125
|
||||
41234321298347656543243492347833458903458743404987
|
||||
30087430178298343650156781016942167812769252985676
|
||||
21196567069121243761056432679851043212890101679854
|
||||
33203498451080252852347841589765654301285234521763
|
||||
14512432347890161943210950432106567610106501430012
|
||||
01693501036543270856102167645656788943217432567897
|
||||
32789672321015389987343078938765497654998549879898
|
||||
45679987410234578101256560129812321067801456734787
|
||||
03478756500187665432107452121901054328982340125676
|
||||
12568767891098987013898943030810167017654321010210
|
||||
21079458910127698123965436945107878988901267124378
|
||||
30980349821034787654876327876716901210985458095469
|
||||
45671210136765693454761016329825432345671329186954
|
||||
12789800345876548763876125419434501654510413277843
|
||||
03543211238989439012985630308765898746701204567832
|
||||
14623400141232323101234521678906567239874343236901
|
||||
25710519850541014143219834567611452108965650145690
|
||||
76897678769650001054301712106320143210345789036781
|
||||
87678989678742112363212601235431234321276988325432
|
||||
90549876349233678478004592347842389123489676710876
|
||||
21632305256104569589123487656965476016512369856945
|
||||
52301014107012345670149874565456365017603450747832
|
||||
65490123458912396501234563432147454328214921632401
|
||||
86985432167905487654341012563038901039309834521321
|
||||
97876789001856778761232127678127612398712701100410
|
||||
89810678012760869890103238999210543125625632234509
|
||||
76701549013451987217876434785695610034534548765678
|
||||
05432432174012987301987325654780123435210159854789
|
||||
12980120985123673458986510783279234987346543123898
|
||||
43878921976034562567603412892168765679857012010187
|
||||
34565437852178901070412103601001410012768001921236
|
||||
45430566543065012181543014580432321003459122876545
|
||||
50121098767654327892678877698569457654219433468904
|
||||
23292145678954218983019988087658768894308596567812
|
||||
14587239010563007654128679112565489765107687656521
|
||||
05674678323472167659436543203474321087230156785430
|
||||
96983565401089898748540987654589321098543243896543
|
||||
87874328992396701037621296562105465407698012565432
|
||||
78765017687478632128760345673456978312789801478521
|
||||
29653078596569543019656921087567889213456700329650
|
||||
12532169430430156010567892193610367804765410418789
|
||||
03445678321321060123456543012323458912894321001678
|
||||
@ -1 +0,0 @@
|
||||
2 77706 5847 9258441 0 741 883933 12
|
||||
@ -1,140 +0,0 @@
|
||||
QQQQQQCCCCCCCCCCCCXXXXXXXXXXXXXXUUUUUUJEEJJJJJQQQQIIISSVVVVVVVVVMMMMMMMMMMMMMMMMMMVVVVVWWWWFFFFFFFFFFFFAFZZZZZZZZZZZMMMMMMMMMMMMMMMMMMVMMQQQ
|
||||
QQQQQCCCCCCCCCCCCCCCCXXXXXXXXXXUUUUUUUJJJJJJJJIIIQIIIIVVVVVVVVVVMMMMMMFMMMMMMMMMMMMVVVWWWWWFFFFFFFFFFFFFFZZZZZZZZLLZMMMMMMMMMMMMMMMMMMMMQQQQ
|
||||
QQQQQQCCCCCCCCCCCCCCCCCCCXXXXXXUUUUUUJJJJJJJJJIIIIIIIIIVVVVVVVVMMMFFFFFMMMMMMMMMMMWWWWWWWWFFFFFFFFFFFFFFFZZZZZZZZLLZMMMMMMMMMMMMMMMHMQQMQQQQ
|
||||
QQQQQCCCCCCCCCCCCCCCCCCCXXXXXXXUUUUUUUJJJJJJJJIIIIIIIIIIVVVVVVVVMMMMFFFMMMMMMMMMMMWWFFWWWWFFFFFFFFFFFFFFFZZZZZZZZMMMMMMMMMMMMMMMHHMHQQQQQQQQ
|
||||
QQQQQQCCCCCCCCCCCCCCCCCXXZXXXXXXUUUUUUJJJJJJJYIIIIIIIIIIVVVVVVVVVVVFFFBBBMMMMMMMMFFWFFWWWWFFFFFFFFFFFFZZZZZZZZZZZLLMMMMMMMMMHMMHHHHHQQQQQQQQ
|
||||
QQQQQQCCCCCCCCCCCCCCCZZZZZXXXXXXXUUUUUJJJOJJJYIIIIIIIIIVVVVVVVVVVVBFFFBBBBMMMMMMFFFFFFWZWWWWFFFFFFFFFFZZZZZZZZZZLLMMMMMMMMHHHHHRHHHHHHQQQQQQ
|
||||
QQQQQQCCCCCCCCCCCCCCCZZZZTTXXXUUUUUUUUUUUOJJJJIIIIIIIIIIVVVVVVVVVVBBFBBBBBMMMMMMFFFFZDZZZWWWFFFFFFFFFFZZZZZZZZZZLLMMMMMMMMMHHHHHHHHHHHQQQQQQ
|
||||
QQQQQQCCCCCCCCCCCCCCZZZZPTTTXXXXXUXXUUUUUOOJUUUUUIIIIIIIVVVVVVVVVBBBBBBBBBBBMMMFFFFFZZZZWWWAAAFFFFFFFFZZZZZZZZZZZLMMMMMMMMMMMHHHHHHHHHQQQQQQ
|
||||
QIIIIIICCIWCCCCCCCCZZTTTTTTTTXXXXXXXXUUUUOXJUXUUUIIIQQQQQQQVVVVVVBBBBBBBBBBBMFFFFFFFZZZZAAAAAFFFFFFFDZZZZZZZZLLLZLLLMMMMMMMMMHHHHHHJJQQQQQQQ
|
||||
IIIIIIICCIIMMQCCCCZZTTTTTTTTXXXXRRXXXUUUGXXXXXUUUIIIQQQQQQQVVVVVVBBBBBBBABMBMFFEFFFFFZZZZAAAAFFFFFFFDAZZZAAAALLLLLLMMMMMMMMMHHHHHHHJJQQQQQQQ
|
||||
IIIIIIIIIIIMMMCCCCTTTTTTTTTXXXXXRTRXXXRRRXXXKKUUUUIOQQQQQQQVVVVVBBBBBBBBBBMMMFFFFFFFZZZZZAAAAFFFFAAFFAZZAAAAALLLLLLLLLLMMMMMHRHHHHHHJJJQQQQE
|
||||
IMIIIIIIIIINNNNNNNNTTTTTTTTTTXRRRRRRRRRRRXXXXKKUUKOOQQQQQQQTVVVVBBBBBBBBBMMMFFFFFFFFZZZZZZZAAAAAAAABAAAAAAAAALLLLLLLLLMMMMMRRRRHHHPIJJJJBBBE
|
||||
GIIIIIIIIIINNNNNNNNTTTTTTTTTTXRRRRRRRRRRXXKXXKKUUKOOQQQQQQQTVVVBBBBBUUUUMMMMFFFFFFFFFZZZZFAAAAAAAAAAAAAAAAAAIILLLLLLLLFMMMMRRRRHHIIIJJJJBBBB
|
||||
GIIIIIIIIIINNNNNNNNTTTTTTTTTXXRRRRRRRRRXXXKKKKKUUKOOQQQQQQQQQBBBBBBBUUUUMMMMFFFFFFFFFZZZFFFAAAAAAAAAAAAAAAAAAATLLLLLLLFMMMMRRRRIIIIIJJBJBBBB
|
||||
GIIIIIIIIIINNNNNNNNTTTTTTTTYXYRRRRRRRRRRRRPKKKKKKKOOQQQQQQQQQBBBBUUBUUUVUMMMFFFFFFFFFZZHFAAAAAAAAAAAAAAAAAAAGTTTLLLLJLLJMRRRRRIIIIIIIBBBBBBB
|
||||
GGGIIIIIIIINNNNNNNNNNNNNTTCYYYRRRRRRRRRRRRPKKKKKKKKKQQQQQQQQQBBUUUUUUUUUUMMMMFFSFFFFFFFFFAAAAAAAAAAAAAAAAAAAATTTLLLLJJLJRRRRRRIIIIIIIBBBBBBB
|
||||
GGGIIBIIIIINNNNNNNNNNNNNTTCYYYYYRRRRRRRRRRKKKKKKKKKVQQQQQQQTUBBUVUUUUUUUUUUMMMFFFFFFFFFFFAAAAAAAAAAAAAAAAAAATTTTTTTJJJJJRRRRRRRPIIIIIBBBBBBB
|
||||
GGGGGGIIIKINNNNNNNNNNNNNTTCYYYYYRRRRRRRRRKKKKKKKKKKKQQQQQQQFFFFFFFFFFUUUUJUFFFFFFXXFFFFFFAAAAAAAAAAAAAVAEACATTTTTTTTTJJRRRRRRRRPIIZZIBBBBBBB
|
||||
GGGGGGIIKKKNNNNNNNNNNNNNTTTYYYYYRRRRRRRRHKKKKKKKKKKKQQQQQQQFFFFFFFFFFUQUUUGGPGFFFFXFFFAFAAAAAAAAAAAAAAAAERCTTTTTTTTTVVVNNNRRRRRPIIZLLPBWBBBB
|
||||
GGGGGGGKKKKKPPNNNNNNNNNNPPPPPPYYRRRRRRRHHHKKKKKKKKKKTTTTTTTFFFFFFFFFFUUUUHGGGGFXFXXFFFAAAAAAAAAAAAAAAAAARRRTTTSVTTTVVVVNNNNNRRRRNILLLLWWBBBB
|
||||
GGGGGGKKKKPPPPNNNNNNNNNNPFPPPPPPRRRRRRRRRRKKKKKKKKIIITTTTTTFFFFFFFFFFOUUHHGGGGFXXXXXFFFAAAAAAAAAAAAAAAARRRRTTAVVVVVVVBVVVNNNNVVLLLLLLLWBBBBB
|
||||
GGGGGIIIKKKKPPNNNNNNNNNNPPPPPPPPPJJJIRRIIIKKKKKKKIIIITTTTTTFFFFFFFFFFODUHHGGGGGXXXXXXRFAAAAAAAAAAAAAAARRRRROTTVVVVVVVVVHVNNVVVVVVLVVLBBBBBBB
|
||||
GGGGGGIIIKIKPPNNNNNNNNNNPPPPPPPPPJJIIIIIIIIIGIIIKIIIIITTTTFFFFFFFFFFFYDYHGGGGGXXXXXXXXCAAAAAAAAAAAAAAARRRRRRRRRRVVVVVVVHVVVVVVVVVLVVRRBBBBBB
|
||||
GGGGIIIIIIIKPPNNNNNNNNNNPPPPPPPPPPJIIIIIIIIIIJIIIIIIIIPTTTFFFFFFFFFFFYYYHGGGGGGGXGXXXXCAAAAAAAAAAAAAARRRRRRRRRRVVVVVVVVHYVVVVVVVVVVVRRBBBBBB
|
||||
GGGHIIIIIIIIPPNNNNNNNNNNPPPPPPPPPPIIIPPPPPPIIJIIIIIIIIIIGTFFFFFFFFFFFYYBBBBGGGGGGGGGCCCCCACAAAAAAAAAARRRRRRRRRRVRRVVVVVHYYVVVVVVVVVVVRRBBBGB
|
||||
GGGGFFIIIIIIZZNNNNNNNNZPPPPPPPPPPIIPIPPPPPPIIIIIIIIIIIIIITFFFFFFFFFFFYYBBBBGGBGGGGCCCCCCCCCAAAAAAAARRXRRRRRRRRRRRRVVVVVVWYVVVVVVVVVVRRRBBGGG
|
||||
TGGGIIIIIIIIZYNNNNNNNNZPPPPPPPPPPIIPPPPPPPPIIIIIIIIIIIIIDDFFFFFFFFFFFHHBBBBJGBGGGGCCCCCCCCAAACCCADDRRRRRRRRRRRRRRRRVLYYYYYYYVVVVVVVVRRGGHGGG
|
||||
GGGIIIIIIIIIIINNNNNNNNPPPPPPPPPPPIIPPPPPPPPIIIIIIIIIIIICCDFFFFFFDDHHHHHBBBBBBBGGGGGGCCCCCCCCCCICDDDRRRRRRRRRRRRRRRXVLLYYYYYYVVVVVVVVVGGGHGGG
|
||||
GGGIIIDIDIIIIYNNNNNNNNPPPPPPPPPPPPIIIIPPPPPIIIIIIIIIICCCCCFFFFFFDDHHHHBBBBBBBBBGGGGGCCCCCCCJJCCDDDDRRRRRRRRRRRUUUUYYYYYYYYYYYMMVVVVVZZGGGGGG
|
||||
DGGGDDDDDIIIYYYYYYPPPPPPPPPIPPPPPPPIIIPPXXPPPXIIIIIIIICCCCFFFFFFDDDHHBBBBBBBBBBGGGGGCCCCCJJJJCDDHHHJHNNRRQRRRSSUUUUSYYYYYYYYYYYAVVVVVZGGGGGG
|
||||
DDDDDDDDDDDYYYYYYYYYPPPPPPPIIPPPIIIIIIXXXXXPXXIIIIICCCCCCVFFFFFFDDDDHBBBBBBBBBBBAAGGCAADDDDDDDDDHHHJHNHHRRRMMSSUUUSSYYYYYYYYYYYQVVXXGGGEGGGG
|
||||
DDDDDDDDDDYYYYYYYYYPPPIPPIIIIIIIIIIIIIIIXXXPXXXBBXCCCCCCFTFFFFFFDDDDHDBBBBBBBBBAAAAAXAAAAAADDDHHHHHHHHHHHMMMSSSUSSSSYYYYYYYYYYYQQVQQQGGGGGGG
|
||||
DDDDDDDDYYYYYYYYYYYPPPIIIIIIIIIIIIIIIXXXXXXPXXXXXXCJCCCFFFFFFFDDDDDDDDDBBBBBBBBAAAAAAAAAAAADDDDHHHHHHHHHHMMHDSSSSSSSYYYYYYYYYUYYQQQGGGGGGGGG
|
||||
DDDDDEDDYYYSYYYYYYYYTYIIIIIIIIIIIIIIIXXXXXXXXXXXXCCJCCCCFFFFFFDDDDDDBBBBBBBBBBBAAAAAAAAAAAAAAHHHHHHHHHHHHHMHHSSSSSSSYYYYYYYYYYYLQQQGGGGGGGGG
|
||||
DDDDEEDDYYYYYYYYYYYYTYIYIYIIIIIIIIIIIIXXXXXXXXXXYJCJCCFFFFFFFFFDDDDDZZBBBBBBBBBAAAAAAAAAAAAAAHHHHHHHHHHHHHHHJJIBSSSSSYYYCYYQQQFQQQQNGGGGGGGG
|
||||
DDDEEEEEEEYWYYYYYYYYYYIYYYIIIIIIIIIIXXXXXXXXXXXXJJJJJJFFFFFFFFFDDDDDZZBBBBBBBBAAAAAAAAAAAAANHHHHHHHHHHIIHHHJJIIBSSQYYYYYYQYQXXQQQQAKKGKGGGGG
|
||||
EEEEEEEEEEEWWYYYYYYYYYYYYYYYIIIIXIXXXXXXXXXXXXXXXJJJJFFFFFFFFFFDDDDDDZZBBBBBBBAAAAAAAAAAAAAATHHHHHHHHHIIIIIIIIIIIQQQQYYYYQQQXXXQQQKAKKKKKKGK
|
||||
EEEEEEEEEEEWWYWYYYYYYYYYYYYYYYIIXXXXXXXXXXXXXXXXJJJJFFFFFFFFFFFDDDDZZZZZBBBBBBBBAAAAAAAAAAAAAAHHHHHHHIIIIIIIIIIIIIQQQQQYYQQQQXQQQQKKKKKKKKKK
|
||||
EEEEEEEEEEWWWWWYYDYYYYYYYYYYYYYIIXXXXXXXXXXXKKKJJJJJFFFFFFFFFFFFDDDDDZZZZZZZBBBBAAAAAAAAAAAAAEMHHHHHHIIIIIIIIIIIIIQQQQQQQQQQQQQQQQQQKKKKKKKK
|
||||
EEEEEEEWWWWWWWWWWYYYYYYYYYYYYYYYIXNNNNXXXXXXXXJJJJJJJFFFFFFFFFFFFDDTZZZZZZBBBBBBAAJAAAAAAAAMMLLLLLLLLIIIXIIIIIIIIIQQQQQQQQQQQQQQQQQQKKKKKKKK
|
||||
EEEEEEKKWWWWWWWWWYYYYYYYYYYYYYYVAZXXXXXXXXXXXXJJJJJJJFFFFFFFFFFFWDDDZZZZZZBBBBBBAPJJAAAAAAAAMLLLLLLLLIIIIIIIIIIIIIIQQQQQQQQQQQQQQQKKKKKKKKKK
|
||||
EEEEKKKKKKKKWWWWTJYTYYYYYYYAYYAAAAFFVVVXXXXXXXXXJJJJJJFFFFFJFFBFGGGGDDZZZBBBBBBNPPPAARRRRMAMLLLLLLLLLIIIIIIIIIIIIIQQQQQQQQQQQQQQQQMMMKMBKKKB
|
||||
EEEKKKKKKKKKWWWTTTTTTTYYYAYAAAAAAAAAVVVXXXXXXXJJJJJJJJJFFFFJJFBBGGGGGGGGGGZBBBBPPPPPARRRRMMMLLLLLLLLIIIIIKKKKKKKKKKKKQQQQQPQQQMQMQIMMKMBBBBB
|
||||
GKKKKKKKKKKWWTTTTTTTTTYAYAAABAAAAAAAVVVVVXXVVBBJJJCCCJJJFFJJJMBBGGGGGGGGGGZBBBBPPPPPPRRRRMMMLLLLLLLLIIWIVKKKKKKKKKKKKQQQQPPQQQMQMMMMMMMBBBBB
|
||||
GKKKKKKKKKKWWTTTTTTRTTYAAAAAAAAAAAAAVVVVVVVVVVJJJCCCCCJJJJJJJMMMGGGGGGGGGGBBBBBPPPPPJRRRRLRRRRRRRRLLMMIIIKKKKKKKKKKKKQQPQPNNNQMMMMMMMMMCBBBB
|
||||
KKKKKKKKKKKKKETTTTTTTTAAAAAAAAAAAAAAAVVVVVVVVNCLJCCCCCJJJJJJJMMMGGGGGGGGGGBBBPBPPPPPJRRRRMRRRRRRRRLLVMMMVKKKKKKKKKKICCCPPPNNNQMMMMMMWWMMMMBB
|
||||
KKKKKKKKKKKKKEETTTXXTAAAAAAAAAAAAAAAAVVVVVVVVLCCCCCCCJJJJJJJJJMGGGGGGGGGGGBBBPPPPPPPPRRRRRRRRRRRRRLLVVVVVKKKKKKKKKKCCCPPPPPNNNMMMMMMMMMMMMBB
|
||||
KKKKKKKKKKKKKEEEEMXXXAAAAAAAAAAAAAAMAVVVVVVVLLLLLCCCCJJJJJJJJJMGGGGGGGGGGBBBBPPPPPPPPRRRRRRRRRRRRRLLVVVVVKKKKKKKKKKCCCPPPPPPNUMMMMMMMMMBBBBB
|
||||
KKKKKKKKKKKKEEEEMMMMXXAAAAAAAAAAAAAAVVVVVVVVLLLCCCCCCJJJJJJJJJJGGGGGGGGGGBBBBPPPPPPPPRRRRRRRRRRRRRLVVVVVVKKKKKKKKKKCCPPPPPPPCMMMMMMMMMMMBBBB
|
||||
KKKKKKKKYKKKKKKKKMMMMXAAQAAAAAAAAAAAVVVVVVVVLLGGCCCCCJJJJJJJJJJGGGGGGGGGGBBBBBPPPPPPPRRRRJRRRRRRRRLVVVVVVKKKKKKKKKKCCPPPPPMMMMMMMMMMMMMMBBBB
|
||||
KKKKKKKKKKKKKKKKMMMMKMMQQQAAAAAAAAAAAVVVVVVVVVCCCCCCCJJJJJJJJJJGGGGGGGGGGUBBBPPPPPPPPRRRRJJJMLLLLLLVVVVVVKKKKKKKKKKPPPPPPPPPMMMMMMMMMMMMBBBB
|
||||
ZKKKTTKKMMKKMMMMMMMMMMMMQQQAQAAAAAAAVVVVVVVVVVCCCCCJJJJJJJJJJJJGGGGGGGGGGUBBBBPPPPPAPPJJJJJJJJVVVZVVVVVVVKKKKKKKKKKKKKKKPPPPPMMMMMMMMMMMMBBB
|
||||
ZZZTTTKKMMMMMMMMMMMMMMMMMQQQQAAAAAAVVVVVVVVVVCCCCCCJJJJJJJJJJJYGGGGGGGGGGUUBPPPPPPPPEJJJJJJJJJVZZZVVVVVVVVWWKKKKKKKKKKKKPPPPPAAMMMMMMMBMMBBB
|
||||
ZZZTTTTMMMMMMMMTTTTMMMMQQQQQQAAAAOAAVVVVVVVVVXCKCCCCJJJJJJJJJJYGGGGGGGGGGBBBPPPPPJJJJJJJJJJJJZZZZZZVVVVVVVWWKKKKKKKKKKKKPPPQPAAMMMCMMMBMBBBB
|
||||
ZZZTZTTMMMMMMMMTTTTMQQMQQRRQQQQAOOOOVVVVVVVVVXVVCCCCCJJJJJJJJJUUUUUUUUUUUBBBBBBBBBBJJJJJJJJJJZZZZZZVVZZZZWWWKKKKKKCCCCPMPPPAPPAAMMCMBMBBBBBB
|
||||
ZZZZZZTMMMMMMMMTTTTTQQQQQRRQQQQOOOOOOOVOVVVVVVVVGGCCJJJJJJJJJJUUUUUUUUUUUBBBBBBBBBJJJJJJJJJJZZZZZZZZVZZZZZWWKKKKKKBCCCCPPPLAAAAAAABBBBBBBBBB
|
||||
ZZZZZZZCCMMMMMMTTTTTQQQQQRRQROOOOOOOOOVOVVIIIVRVGGJJJJJJJJJUUVUUUUUUUUUUUUUBBBBBBBBBJDDJJJJJJZZZZZZZZZZZZZZWKKKKKKBBBCPPPPAAAAAAABBBBBBBBBBB
|
||||
ZZZZZZCCCMMMMMTTTTTTQQQQQRQQRRROOOOOOOOOVVIIIVIGGJJJJJJJJJUUUUUUUUUUUUUUUBBBBBBBBBBJJJJJJJKKJJZZZZZZZZZZZZZWKKKKKKBBBKPKNKAAAAAAABBBBBBBBBBB
|
||||
ZZZAZZCCCCMMMDTTTTTQQQQQQQRRRRROOOOOOOOOOIIIIIIGGGJJJJJJJJJUUUUUUUUUUUUUVVVVVVVVVBRJJJJJJJKIIIIIIIIIZZZZZWWWKKKKKKBBFKKKKKAAAAAAAABBAABBBBBB
|
||||
ZZZAZZCCCCCMMDDKTTTQQQQQRRRRRROOOOOOOOOOOOIIIIIGAAJJJJJJJJJUUUUUUUUUVVYVVVVVVVVVVBRRJJJJJUUIIIIIIIIIZZZZZZWWKKKKKKBBBKKKIIIAAAAAAAAAAAAABBBB
|
||||
ZAAAZZCCCMMMMDTTTTTQQQQQRRRRRRSOOOOOOOOOGOIIIIIAAAAJJJJJJJJMMMUUJUUXVVVVVVVVVVVVVBRRJJJZIIIIIIIIIIIIZZZZZZWWKKKKKKBBKKIIIIHHHZAAAAAAAAAABBBB
|
||||
AAAROZOMMMMDDDGGTTTTQQRRRRRKRMOOOOOOOOOOOOIIAAAPAAAAAAAJJJJMVVVVVUUUVVVVVVVVVVVVVVRRRPJZIIIIIIIIIIIIZZZZZZWWWWWWWBBBKKKIHHHHHZAAAAAAAAAAAABB
|
||||
AAOOOOOOMMDDDDDTTTTTQQRTRYRKROOOOOOOOOOOOOIIIAAAAAAAAAJJJJJVVVVVCCCCCVVVVVVVVVVVVVRRPPJZIIIIIIIIIIIIZZZZZWWWWWTWWWWBAAAHHHHHHHHHHAAAAAAAAABB
|
||||
AAOOOOOODDDDDDQQTTTQQQRYYYRRYYOOOOOOOOOOOIIIIIAAAAAAAAAJJJVVVVVCCCCCCVVVVVVVVVVVVVVVVVWUIIIIIIIIIIIIZZZZZWWWWWTTWWWBBAAHHHHHHHHHMARAAAAOAAOC
|
||||
AAAOOOOODDDDDDDQQTTQQQQYYYYYYYYOOOOOOOZOOIIIIAAAAAAAAAJJJJJVVVVCVCCCCVVVVVVVVVVVVVVVPUWUIIIIIIIIIIIIZZZZZWWWWZZZZZZZZHAHHHHHHHHHHAAOOOOOOOOC
|
||||
AAAAAOJJDJDDDDDQQQQQQQQQYYOYYYYYYOOOOZZOZIIIIAAAAAAAAAJJJJJVVVVVVCCCCVVVVVVVVVVVVVVVNUUUIIIIIIIIIUGGZZZZWWWWWZZZZZZZZHHHHHHHHHHHMCOOOOOOOOOO
|
||||
AAAAAAAJJJJDDDQQQQQQQQQQQYOYYYYYYYDOOZZOZIIIIAAAAAAAAAJJJJJJJVVVVVCCCCVVVVVVVVVVVVVVNNFUIIIIIIIIIUZZZZZZZTTWWZZZZZZZZHHHHHHHHHHHHCOOOOOOOOOO
|
||||
AAAAAAAAJJDDDDDQQQQQQQQQQOOOWOOOODDOZZZZZZIIAAAAAAAAAAJJJJJJJVJVVDDDCCCVVVVVVVVVVVVNNNNUIIIIIIIIIUUUZZZZZPTTWTTTTWWHHHHHHHHHHHHHCCCCOOOOOOOO
|
||||
AAAAAAAAAJJJDDQQQQQQQQQQOOOOOOODDDDZZZZZZZIIAAAAAAAAAAAJJJJJJJJJVDDDCCCCDKVVVVVVVVNNNNUUUUIIIIIIIUUUUZZZZTTTTITTTTWHHHHHHHHHHHHHCCCCCCCOOOOO
|
||||
AAAAAAAAAAJBBQQBBBQQQQQOOOOOOOODZDDDZZZZZZIIAAAAAAAAAAAAJJJJJJJJDDDDDDDDDDDDVVVVVNNNNNNUUUIIIIIIIUUUUUZZZTTTTTTTTTHHHHHHHHHHHHHHCCCCCCCCOOOO
|
||||
AAAAAAAAAAJBBBBBEBBBQQQOOOOOOOODZZZZZZZZZZZAAAAAAAAAAAAJJJJJJJJDDDDDDDDDDDDVVVVVNNNNNNNUUUIIIIIIIUUUUUUZTTTTTTTTTTTTHHRRHHHHHHHCCCCCCCOOOOOO
|
||||
AAAAAAAAAAJBBBBBBBBBBOOOOOOOOOOOOOZZZZOZAAAAAAAAAAAAAAAAAJJJJJDDDDDDDDDDDDDVVVVVNNNNNNNNNNIIIIIIIUUUPPPKKKKTTTTTTTTTTHRRRHCCCHCCCCCCCCOOOOOO
|
||||
AAAAAAAAAABBBBBBBBBBBOOOOOOOOOOOOOZZZZOZAOOAAAAAAAAGGGJJAJJJJJDDDDDDDDDDDDVVVVVVVVNNNNNNNNIIIIIIIUUPPPPKKKKTTTTTTTTTTTTRTTCCCFCCCCCCCCCOOOOO
|
||||
AAAAPAAAAABBBBBBBBBBBYYOOOOOOOOOPOOOZOOOOOOOAAAAAAGGGGJJJJJJJDDDDDDDDDDDDDVVVVVVVVNNNNNXXNNNNNNNPPPPPPPKKKKTTTTTTTTTTTTTTCCCCCCCCCCCCCCCOOOO
|
||||
AAAAPAAAAABBBABBBBBBBBYOOOOOOOOOOOOOOOOOOOAAAALALAGGGGGJJJJJDDDDDDDDDDDDDDDVVVVOOVVVXXXXXNNNNNNNPZZZZZZZZZZKTKTTKSTTNLLTTNCCCCCCCCCCCCCCCOOO
|
||||
AAAAPPPAABBBBABBBBBBBBBBOOOOOOLLOOGGGOOOAAAAAALLLLLGGJJJJJJJDDDDDDDDDDDDDDDDVVOOOVVVWXXXXNNNNNNNPZZZZZZZZZZKKKKYYYYYYYYYYNNCCCCCCCCCCCCCCOOO
|
||||
AAAAPPAAABBBBABBBBBBBBBBOOOOOOLOOOGGGOOOOAAAAAAALLLLJJJJJJJJJLLLDDDDDDDDDDDDDVOOOOVOWXXXXNNNNNPPPZZZZZZZZZZZZKKYYYYYYYYYYNNCCCCCCCCCBBCCOOOO
|
||||
AAAPPPAPAAAABABBBBBBBBBPOXOOOOLOOOGGGOOOOOOAAAAALLLLLLJJJJJJJLLLLDDDDDDDDDOOOOOOOOOOWXXXXNNNNNNNPZZZZZZZZZZZZKAYYYYYYYYYYYYCCCCCCCXCBBCYOOOO
|
||||
APPPPPPPPAAAAABBBBBBBBFZZXZZKKOOOOGGGOOOOOOAAAAALLLLZLJJJLJJJJLLLDDDDDDDDUUOOOOOOOOOOORRRRONOOPPPZZZZZZZZZZZZKAYYYYYYYYYYYYNCCUCCCCVBBCCPOHO
|
||||
PPPPPPPPPAAAAAABBBBBBBBZZZZMOOOOOGGGGGOOOOOAAALLLLLLLLJJLLLLLLLLLLDDDDDDOOOOOOOOOOSOOOORDDOOOOPPMMMPPPPZZZZZZAAYYYYYYYYYYYYJMCCCCVVVBVPPPVVV
|
||||
PPPPPPPPPAAAAAABBBBBBZBZZZZMMGGGGGGGGGGGGOOAZALLLLLLLLLLLLLLLLLLLLDDDDDOOOOOOOOOOOOOOOORDOOOOOPPMMMPPPPZZZZZZAAYYYYYYYYYYYYJMMMCCCVVVVVVVVVV
|
||||
PPPPPPPPPAAAAAABBBBBBZZZZZZMMGGGGGGGGGGGGAAAZALLLZLLLLLLLLLLLLLLLLLDDDOOOOOOOOOOOOOOOOOOOOOOOOOPMMMPPPPPZZZZZAAYYYYYYYYYYYYJMJMMVVVVVVVVVVVV
|
||||
XPPPPPPPAAAAAABBBTBBYZZZZZZZZYGGGGGGGGGGGGAAZZZLZZZLLLLBBBBLLLLLLLDDDDDOOOOOOOOOOOOOOOOOOOOOMMMMMMMPPPPPZZZZZAOYYYYYYYYYYYJJJJVVVVVVVVVVVVVV
|
||||
XPPPPPPPAAJJAABAACBBYYZZZZYZYYGGGGGGGGGGGGAAZZZZZZLLBBBBBBBLLLLLBBBBBOOOOOOOOOOOOOOOOOOOOOOMMMMMMMMJJJPLZZZZZAZYYYYYYYYYYYJJJJJJBJVVVVVVVVVV
|
||||
XPPPPPPPJJJJAAAACCYBYYZYYYYYYYYGGGGGGGGGGGAAZZZZZZZZBBBBBBBLLLLLBBBBBBBBOOOOOOOOOOOOOOOOOOOMMMMMMMMMJJZZZZZZZZZYYYYYYYYYYYJJJJJJJJBVVVVVVVVV
|
||||
XPPXPPPPJJJJAAACCCYYYYZYHYHYYYHGGGGGGGGGGGAAAZZZZZZZBBBBBBBBBLLBBBBBBBBBOOOOOOOXOOOOOOOOOOOMMMMMMMMMJJZZZZZZZZZZOOOOJJJYYYJJJJJJVJBVVVVVVVVV
|
||||
XXXPPPPJJJJJJAACCYYHYYYHHHHHHHHGGGGGGGGGGGEAEZZZZZZZBBUBBBBBBBBBIIIBBBBOOOOOOOOOOOOOOOOOOOOOMMMMMMMMJJZZZZZZZZZOOOOOOJJYYYJJJJJJJJVVVVVVVVVV
|
||||
XXXPPPPPPJJJJPACCCHHHYHHHHHHHHHGGGGGGGGGGEEEEZZZZZZZZUUUUBBBUUBBBIIIBIBBBOOOOOOOOOOOOOOOOOOOMMMMMZZZZZZZZKKZZZZZOOOOCCYYYYYYJJJJJJVVVVVVVVVV
|
||||
XXXXPPPPPJJJPPAAAAHHHHHHHHHHHHYYYGGGGGEEEEEEZZZZZZZZZZUUUUUUUBBBIIIIIIIBBBOOOOMMMOOOOOOOOOYOMMMMMZZZZZZZZKKZZZZZZZOCCCYYYYYYJJJJJJVVQQVQQVVV
|
||||
XXXPPPPJJQJJPPPAAHHOHHHHHHHHHHYYYYEEWEEEEEEEEZZZZZZZZUUUUUUUUUUIIIIIIIIIBOOOOOMMMMOMOOSOOOOOOMMMMZZZZZZZZKKZZZZZZZCCCCYYYYYYJJJJJJJJOQQQVVVV
|
||||
XXXXXPPJJJJPPPPRROOOHHHHHHHHYYYYYYYEEEEEEEEEEEEZZZZUUUUUUUUUUUIIIIIIIIIIMMOOOMMMMMOMNNNOOOONNNNJEZZZZZZZZKKZZZZZZZCCCCYYYYYYJJJJJJJXQQQQQQQQ
|
||||
XXJXXJJJJJJPPPRRRROOHHHHHHHHYYYYEEEEEEEEEEEEEEEZZZZZUUUUUUIIIIIIIIIIIIBBMMOOMMMMMMMMNNNCNNNNNNJJFZZZZZZZZKKKZZZCCCCCCCYYYYYYJJJJJJJQQQQUQQQQ
|
||||
XXJJJJJJJJJPPYPVRJJHHPHHHHHHYYYYEEEEEEEEEEEEEEZZZZZZUUUUUTTIIIIIIINIIBBIMMMMMMMMMMMMNNNNNNNNNNFFFKKKKKKKKKKKZZZCCCCCCCYYYYYYJJJJJJCQQQQQQQQQ
|
||||
XXJJJJJJJJPPJPPPPPJJJPPPHHHHHYYYEEEEEEEEEEEEXPZZZZZZZZUUUTTINNNNINNKIBIIMMMMMMMMMMMMMNNNNNNNNFFFFFKKKKKKKKKKZZZCCCCCCCYYYYYYJJJJJQQQQQQQQQQQ
|
||||
XJJJJJJJPPPPPPPPPPJJJHHHHHHDHDYYYYYEEEEEEEEXXXZGGZZZZZUUUNNNNNNNNNNIIIIIMMMMMMMMMMMMNNNNNNNNNFFFFKKKKKKKKKKKKKKCCCCCCCYYYYYYYYYZZQQQQQQQQQQQ
|
||||
JJJJJJJPPPPPPPPPPJJJJJJJJHHDDDDYYYYYEEEEEEEXXGGGGEEZZZUUDNANNNNNNNAIIIIIMMMMMQMMMMMMNNNNNNNNFFFFFKKKKKKKKKKKKKKCCCCCCCYYYYYYYYYZQQQQQQQQQQQQ
|
||||
JJJJJJJJPPPPPPPPPJJJJJJJJJDDDDDYYYYEEEEEEXXXXXGGGGEEEZEUDNNNNNNNNAAAIIIIMMMMQQQQMMNNNNNNNNNNFFFFFCKKKKKKKKKKKKKKWCCCCIYYYYYYYYYZZZXQXQQQQQQQ
|
||||
JJJJJJPPPPPPPPPPPJJJJJJJJJDDDDDDDYYEEEEEEXXXXGGSEEEEEEEENNNNNNNNNVVAAIIMMMMQQQQQMMNNNNNNNNNNOFFFFFKKKKKKKKKKKUUKKUCCCCCCCZYYYYYZZZXXXXQQQQQQ
|
||||
HJJJJJPPPPPPPPPPPPPJJJJJJJJDDDDDDYYYEEEEEXXXSSSSEEEEEEEENNNNNNNNNNVAAAVVMQQQQQQQMMNNNNNNNHNNNFFFFFKKKKKKKKKKKUUUUUCCUUUUCCYYYYYXXXXXXXQQQQQQ
|
||||
HJJJJNPPPPPPPPPPFPPJJJJJJJJDDDDYYYYXXNNEXXXSSSSSEEEEEEENNNNNNNNNNVVVVAVVQQQQQQQQMNNNHHNNNHNNNFFFFFKKKKKKKKKKKUUUUUUUUUUUUUUUHZZZXXXXXQQQQQQQ
|
||||
HHJVJRPPPPPPPPPPPPPPLJJJJJJDDDLLLLXXXXXEXXXXXXXSUUUUNNNNNNNNNNNNNVVVVVVVQQQQQQQQMMMNHHHNNHHHHHHHHFHHHKKKKKKKKUUUUUUUUUUUUUHHHHHXXXXXXXQQQQQQ
|
||||
HRRRRRRPRPUPPPPPPPPLLLLJJJDDDLLLLUUUXXXXXXXXXXXXXXUUUUNNNNNNNNNNNVVVVVVVQQQQQQQQMMMMHHHHHHHHHHHHHHHHHKHHHKKKKUUUUUUUUUUUUHHHHHHHHXXXXXXXQQQQ
|
||||
HHHHRRRRRRRRRRPPPPWLLLLLLLLLDLLLLUUUVVVXXXCCCXXXXXXXKNNNNNNNNNNNNVVFVVVTTQQQQQQTMMMHHHHHHHHHHHHHHHHHHHHHHHKKUUUUUUUUUUUUUUHHHHHXXXXXHQHXQQQQ
|
||||
HRRRRRRRRRRRRRRPPBGLLLLLJLLLLLLLLULUVVVXXCCCCCXXXXXXKKNNNNNNNNNNVVVVTTTTTTTTQQQTTTMLLHHHHHHHHHHHHHQQQHHHHUKUUUUUUUUUUUUQUUHHHXXXXXXXHHHHQHAH
|
||||
RRRRRRRRRRRRRRRRPPGLLLJJJLJLLLLLLLLUVVVXCCCCCCXXXXXKKKNNNNNNNNNNVVVVTTTTTTTTTTTTTMMLLHLHHHHHHHHHHHQQQQHHHUUUUUUUUUUUUUUQUQHSXXXXXXXXXXHHHHHH
|
||||
RRRRRRRRRRRRRRRRRGGGLJJJJJJLLLLLLLVVVVVECCCCMMMMMMKKKKKKNNNNNNNNNVVTTTTTTTTTTTTTULLLLLLHHHHHHHHHQQQQQHHHUUUUUUUUUUUUUQQQQQQSXXXXXXXXXXXHHHHH
|
||||
RRRRRRRRRRRRRRRRRGGGGJJJJJJLLLLLLJVVVVVVGCCCMMMMMMKKKKKNNSSNNNNNNVTTTTTTTTTTTTTULLLLLLHHHHGGGGGHHQQQHHHHHUUUUUUUUUUUUQQQQQQSSXXXXXXXXXHHHHHH
|
||||
VRRRRRRRRRRRRRRRRGGGJJJJJJJLLLLLLJVVVVVVGCCCMMMMMMKKKKNNGSGNNNNNYYTTTTTTTTTTTTLLLLLLLLLHHHGGGGQQQQQQHQHHHUUUUUUUUUUUUQQQQQQQSXXXAXXXXXHHHHHH
|
||||
VVVRTRRRRRRRRRRRJGGGGQJJJJJJJLLLGVVVVVVGGCCCMMMMMMKKGKGGGGGGGGYYYYDTDTTTTTTTTTLLLLLLLLLHHHGGGGQQQQQQQQHHOOOOUUOOUUUUUQQQQQQQQXUAAXXMHHHHHHHH
|
||||
VRRRTTTTRFFRRJRRGGGGQQJUJJJJJJGLLGGGGVGGGGGCMMMMMMKKGGGGGGGFFFYYDDDDDDDDTTTTTTTLLLLLLLLLHHGGGGQQQQQQQQQOOOOOUUOOUOUZUQQQQPQQUUUTTTTTHHHHHHHH
|
||||
VVRAAATTYTFRYDDFGDGGQQJJJJJJGGGGGGGGGGGGGTTTTTTTMMKZGGGGFGGFFFYYDDDDDDDCTTTTTTTLLLLLLLLHHGGGGGGQQQQQQQOOOOOOOUOOOOOUGUUQQQQQUUUTTWTTKKNNHHNN
|
||||
VVUUATTTTTDDDDDDMDGGQQJJJJJJGDGGGGGGGGGGGTTTTTTTKKZZGIIIFFFFFFYDDDDDDDDDDDTTTTTLLLLLLLLGGGGGGGGQQQQQQQOOOOOOOOOOOOWUUUUUUUUUUUUUUUKKKKKNHNNN
|
||||
UUUUTTTTTQDDDDDDMDDDQQQQJJJJGDGGGGGGGGGGGTTTTTTTKKZZZIIIIFFFFDDDDDDDDDDHHHHTTTHLLLLLLLLIIGGGGGGQQQQQQOOOOOOOOOOOOOWKWWUUUUUUUUUUUUNNNNNNNNNN
|
||||
UUUUTTTTTTDDDDDDDDDDDQQJJJCCDDGGGGGGGGTTTTTTTTTTCZZZIIIIIIFFFFDDDDDDDEDHHHHTHHHHLLLLLLLLLGGGGGGQQQQOQOOOOOOOOWOOOWWWWUUUUUUUUUUUUGNNNNNNNNNN
|
||||
UUUUUTBTTTDDDDDDDDDDDDQJJJCCDDDGGDGGDGTTTTTTTTTTZZTZZIFFIFFFFFFDDDDDDDHHHHHHHHHLLLLLLLLLLGGGGGGQQQQOOOOOOOOOOWWWWWWWWUUUUUUUUUUUUNNNNNNNNNNN
|
||||
UUUUUUUTTTTDDDDDDDDDDQQQQDDDDDDGDDDDDDTTTTTTTTTTNZZZZIIFFFFFFFFFDDDDDDDHHHHHHHHHHHLLLLLGGGGGGGGGGGOOOOOOOOOOOWWWWWWWWUUUUUUUUUUUUUNNNNNNNNNN
|
||||
UUUUUUUTUUUDDDDDDDDDQQQQQQDDDDDDDDDDDDTTTTTTTTTTZZZZZFFFFFFFFFFFDFDDDZZZHHHHHHHHHHHHGGGGGGGGGGGGGOOOOOOOOOOOOOWWWWWWWWWWUUUUUUUUUNMNNNNNNNNN
|
||||
UUUUUUUUUUDQDDDDDDDDQQQQQQDDDDDDDDDDDDTTTTTTTTTTZZZZZZZFFFFFFFFFFFDDDDZZHHHHHHHHHHGGGGGGGGGGGGGGGOOOOOOOOOOOOWWWWWWWWWWUUUUUUUUUUNNNNNNNNNNN
|
||||
UUUUUUUUUDDDDDDDDDQQQQQQQDDDDDDDDDDDAZTTTTTTTTTTNZZZZFFFFFFFFFFFDDDDJJZZZHHHHFFFFFGGGGGGGGGGGGGGGOOOOOOOOOOOOOWWWWWWWWWUUUUUUUUUUUNNNNNNNNNN
|
||||
UUUUUUUDDDDDDDDDDDQQQQQQQDDDDDDDDDDDDETTTTTTTTTTNPZZZFFFFFFFFFFFFIIZZZZZZZZFFFFFFFXGGGGGGGGLGGGGGGGOOOAAOOOOOOWWWWWWWWWUUUUUUUUUDUDNNNNNNNNN
|
||||
UUUUUUUDDDDDDDDDDQQQQQQQQQDDDDDDDDDDDEEEVVVVVVVNNPZZZFFFFFFFFFFFDIDZZZZZZZZIIIIIIFXXXXGGGGGLLGGGGGOOOOOAOOOOOOOWWWWWWWUUUUUUUUDDDDDNNNNNNNNN
|
||||
UUUUUUUDDDDDDDDQQQQQQQQQQVVVDDDDDDDDEEEEVVVVHHPNPPPZZZZFFFFFFFWWDDDZZZZZZZZZIIIIIIJXXJJGJJLLLLGGLGGOWWFAOAOOAOWWWWWWWWWWUUUUUUDDDDDDNNNNNNNN
|
||||
UUUUUUUUDIDDDDDQQQQQQQQQQQVDDDDDDDDDDDEEEEVVVHPPPPPZZZZFZZZZZZWWDDDDDZZZZZZZIIIIIIJJJJJJJJLLLLLGLGGOWWFFFAAAAAWWWWWWWWWWUUZZUUUDDDDDDNNCNNNH
|
||||
UUUUUUUUPDDDDDJJQQQQQQQVVVVDDDDDDDDDDEEEEEEVGPPPPPPZPZZFZZZZZWNWWWDDDDZZZZZZIIIIIIIJJIIILLLLLLLLLGLOWFFFFAAAAAWWWWWWWWWWWUZZUDDDDDDDDDNNNNNN
|
||||
UUUUUUUUUDDDDDJJJQQQQQQQQQQQDTDDDDDDDDEEEEEPPPPPPPPPPPZZZZZZZWWWWWDDDDDZZZZZZNIIIIIIIIICCLLLLLLLLLLBFFFFFFFAAEWWWWWWWWWZZZZZZDDDDDDDDDDNNNNN
|
||||
UUUUGGUUEEDDDDJJJJJJJQQQQQQQQDDDQDDDDEEEEEEEKPPPPPPPPPPZZZZWWWWPWDDDDDDZZZZZZNNIIIIIIILLLLLLLLLLLLLLFFFFFFFFFEWWWWWWWWWZZZZZDDDDDDDDDDDNNNNN
|
||||
UUGUGGGEEEDJJJJJJJJJJJQQQQQQQDDDQQDDEEEEEEEEPPPPPPPPPPPZZWWWWWWWWDWDDDDZZZZZNNNNNIIIIILLLLLLLLLLLLLLLGFFFFFFEEEEEEWWWWZZQZZZDDDDDDDNNDNNNNNN
|
||||
UGGGGGGGEEEJJJJJJJJJJJQQQQQQQQDQQQEEEEEEEEEEPPPPPPPPPPZZZWWWWWWWWWWWDDDZZZZINNNIIIIIIILLLLLLLLLLLLMGGGFEEEEEEEEEEWWWWWWZZZZZZDDDDNNNNNNNNNNN
|
||||
UGGGGGGGGEJJJJJJJJQJQQQQQQQQQQQQQEEEEEEEEPPPPPPPPPPPPZZZZWWWWWWWWWWWDDZZNNNINNIIIIIIIILLGHLLLLLLLLLGGEEEEEEEEEEEEWWWWWZZZZZZZDDDDNNNNNNNNNNN
|
||||
UGGGGGGGGGQJJJJJJJQQQQQQQQQQQQQQQQEEYEEYYYOPPPPPPPPPZZZWWWWWWWWWWWWWDDDNNNNNNNNIIINIIIIAGLLLLLLLLLLLGEEEEEEEEEEECPPPZZZZZZZZZDDNNNNNNNNNNNNN
|
||||
SGGGGGGGGGJJJJJJJJQGQQQQQQQQQQQQQQQYYYYYYYYPYPPPBPZZZZZZWWWWWWWWWWWWNNNNNNNNNNNNNINIIIIGGLGGLLLLLLGGGGEEEEEEEEEECCPPPPPPZZZOZDNNNNNNNNNNNNNN
|
||||
GGGGGGGGGGAJJJJJJJJQQQQQQQQQQQQQQQQYYYYYYYYYYPPPPZZZZZZZZZWWWWWWWWWRRRNNNNNNNNNNNNNIGIIIGGGLLLLGGGGGGEEEEEEEEEMMPCPPPPPPPPZZPPPPNNNNNNNNNNNN
|
||||
GGGGGGGGGGGGJLJJJJJJDQQQTTTQQQQQQQQYYYYYYYYYYPYPYZZZZZZZZZZZWWWWWWWRRRNNNNNNNNNVVGGGGGGGGGGGLLGGGGGGGRNEEEEEEEMMPPPQPPPPPPPPPPPUNNNNNNNNNNNN
|
||||
GGGGGGGGGGGGLLJJJJJTTDTQTTTQQQQQQEEEEEYYYYYYYYYYYYZZZZJZZWWWWWWWWWWRRRNNNNNNNNNNNRLLGGGGGGGGGGGGGGRRRRRREKKEEEMMPPPPPPPPPPPPPPPPZZZZZNNNNNNN
|
||||
GGGGGGGGGGGGLYPPJJTTTTTTTQQQQQQQQEEEEEYYYYYYYYYYYYZZJJJJJJMWWWWWWWWWRRRRRNNNNRRRRRLLLGLGGGGGGGGGGGGRRRREEKKKKKKKUUPBPPPPPPPPZZZZZZZZNNNNNNNN
|
||||
GGGGGGGGGGGGYYPPJJTTTTTTTTTTQQQQQEEEEEYPYYYYYYYYYZZZJJJJJJMMMWWWWWWWRRRRRRRRRRRRRLLLLLLGGGGGGGGGGGGRRRRRERKKKKKKKUPBBPPPPPPPZZZZZZZZZNNNNNNN
|
||||
GGGGGGGGGGGYYYYYJJTTTTTTTTTQQQQQEOEEEEEYYYYYYYYYYZZZQJJJJJJJMWWWWWWWRRRRRRRRRRRRRLPLLLLLGGGGGGGGGGGRRERRRRRKKKKKKPPPPPPPPPPPZZZZZPZPPPPPNNNN
|
||||
GGGGGGGGGGGYYYYYYJPTTTTTTTTTQQQQEEEEEEEYYYYYYYYYYYZJJJJJJJJJWWWWWRRWRRRRRRRRRRRRRLLLLLLLLGGGGGGGGGGGGRRRRRRRTKKKKPPPPPPPPPPPZZZZPPPPPPPPNNPP
|
||||
GGGGGGGGGGYYYYYYYTTTTTTTTTTQQQQQEQEEEEEYYYYYYYYYYYZJJJJJJJJJJJWWRRRRRRRRRRRRRRRRRRRRLLLLLGGGGGGGGGGRRRRRRRRTTTTKTTPRPPPPPPPPZZFZPPPPPPPPNPPP
|
||||
GGGGGGGGGGKKKKKKKKTTTTTTTTQQQQQQQQEYEEHHHHHHYYYYYYJJJJJJJJJJJJJRRRRRRRRRRRRRRRRRRRRRLLLLGGGGGGGGGGGGGRRRRRRRTTTTTTTPPPPPPPPRZZFZPPPPPPPPPPPP
|
||||
File diff suppressed because it is too large
Load Diff
@ -1,500 +0,0 @@
|
||||
p=99,12 v=19,18
|
||||
p=90,98 v=47,-52
|
||||
p=86,3 v=82,-13
|
||||
p=13,8 v=-67,-47
|
||||
p=36,45 v=28,65
|
||||
p=71,35 v=-8,-62
|
||||
p=75,8 v=-30,-21
|
||||
p=3,46 v=-38,-96
|
||||
p=1,89 v=78,18
|
||||
p=47,59 v=-63,99
|
||||
p=92,78 v=68,48
|
||||
p=42,31 v=78,94
|
||||
p=75,29 v=9,83
|
||||
p=46,12 v=-29,48
|
||||
p=80,16 v=-70,33
|
||||
p=18,66 v=57,-97
|
||||
p=60,12 v=89,-90
|
||||
p=21,36 v=-41,-78
|
||||
p=75,53 v=52,-62
|
||||
p=18,79 v=45,51
|
||||
p=20,29 v=63,-97
|
||||
p=22,68 v=23,1
|
||||
p=6,67 v=-24,-44
|
||||
p=44,35 v=-54,29
|
||||
p=33,80 v=28,-56
|
||||
p=48,78 v=55,-22
|
||||
p=88,79 v=99,69
|
||||
p=12,96 v=-50,-59
|
||||
p=6,57 v=80,61
|
||||
p=98,31 v=-77,14
|
||||
p=91,65 v=-13,20
|
||||
p=52,53 v=-85,41
|
||||
p=94,94 v=-15,5
|
||||
p=69,75 v=-41,-11
|
||||
p=98,77 v=71,-54
|
||||
p=23,47 v=-61,-27
|
||||
p=32,74 v=-11,96
|
||||
p=22,87 v=-5,-75
|
||||
p=65,22 v=26,71
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
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|
||||
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|
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|
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
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|
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|
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||||
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|
||||
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||||
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|
||||
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|
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|
||||
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|
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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|
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||||
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|
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|
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|
||||
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|
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|
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||||
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||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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|
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
p=8,7 v=-50,25
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
p=3,74 v=-37,-61
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||||
p=90,47 v=14,68
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||||
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||||
p=80,63 v=-98,8
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||||
p=20,27 v=-64,10
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||||
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||||
p=93,14 v=52,95
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||||
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||||
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||||
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||||
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||||
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||||
p=58,50 v=77,-31
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||||
p=59,62 v=54,43
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||||
p=66,66 v=-86,12
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||||
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||||
p=93,64 v=-47,71
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||||
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||||
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||||
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||||
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||||
p=94,77 v=81,73
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||||
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||||
p=44,70 v=-68,80
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||||
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||||
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||||
p=6,4 v=9,76
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||||
p=34,40 v=-52,3
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||||
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||||
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|
||||
p=85,67 v=1,1
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||||
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||||
p=99,29 v=-65,15
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||||
p=65,67 v=-22,-99
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||||
p=72,65 v=55,6
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||||
p=38,97 v=56,-52
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||||
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||||
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||||
p=47,4 v=33,-14
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||||
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||||
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||||
p=100,11 v=13,-93
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||||
p=94,33 v=-26,-35
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||||
p=9,43 v=52,68
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||||
p=23,73 v=-1,-50
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||||
p=76,88 v=62,-78
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||||
p=62,28 v=43,3
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||||
p=95,22 v=-80,79
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||||
p=43,81 v=-84,40
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||||
p=19,10 v=85,2
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||||
p=40,31 v=-45,-81
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||||
p=33,59 v=11,-80
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||||
p=53,66 v=27,12
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||||
p=52,94 v=5,24
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||||
p=3,96 v=-71,-33
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||||
p=18,48 v=28,-27
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||||
p=76,18 v=34,-7
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||||
p=75,73 v=93,-53
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||||
p=48,9 v=-12,48
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||||
p=65,51 v=-69,-66
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||||
p=78,10 v=-14,-40
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||||
p=44,32 v=-52,7
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||||
p=36,20 v=-68,48
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||||
p=4,58 v=63,61
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||||
p=12,62 v=-39,-53
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||||
p=31,36 v=56,-85
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||||
p=14,58 v=-51,-61
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||||
p=86,11 v=-76,-17
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||||
p=45,38 v=-79,-1
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||||
p=60,41 v=29,18
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||||
p=28,8 v=-22,-59
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||||
p=66,47 v=-13,72
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||||
p=91,15 v=-31,-55
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||||
p=69,73 v=15,-87
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||||
p=52,49 v=71,-76
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||||
p=73,69 v=-47,-49
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||||
p=87,7 v=-20,-94
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||||
p=1,0 v=-76,40
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||||
p=96,48 v=-14,88
|
||||
p=52,36 v=-46,26
|
||||
p=94,48 v=3,-39
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||||
p=36,38 v=-71,-93
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||||
p=64,8 v=55,-47
|
||||
p=75,63 v=59,-38
|
||||
p=64,97 v=15,-94
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||||
p=63,102 v=4,-40
|
||||
p=41,78 v=16,-87
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||||
p=63,82 v=58,50
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||||
p=32,24 v=48,42
|
||||
p=57,69 v=-35,31
|
||||
p=73,26 v=-2,-28
|
||||
p=31,89 v=28,32
|
||||
p=82,93 v=-14,62
|
||||
p=61,87 v=-12,-26
|
||||
p=58,36 v=-72,-13
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||||
p=80,49 v=-59,15
|
||||
p=34,10 v=72,40
|
||||
p=4,82 v=41,16
|
||||
p=46,12 v=5,82
|
||||
p=81,17 v=75,-36
|
||||
p=69,12 v=99,90
|
||||
p=98,16 v=-55,-24
|
||||
p=49,39 v=38,-89
|
||||
p=91,1 v=92,-32
|
||||
p=91,99 v=-48,-33
|
||||
p=16,44 v=-60,53
|
||||
p=26,60 v=-56,-31
|
||||
p=31,32 v=28,-16
|
||||
p=36,40 v=33,-47
|
||||
p=60,18 v=-97,-51
|
||||
p=5,2 v=36,-21
|
||||
p=83,8 v=20,-47
|
||||
p=32,40 v=-16,-39
|
||||
p=65,11 v=-84,11
|
||||
p=58,31 v=-80,-5
|
||||
p=96,38 v=-42,-65
|
||||
p=40,23 v=14,87
|
||||
p=36,81 v=67,77
|
||||
p=13,74 v=35,96
|
||||
p=6,58 v=-36,-64
|
||||
p=73,23 v=-53,-5
|
||||
p=22,18 v=45,-58
|
||||
p=67,29 v=-81,-52
|
||||
p=14,18 v=-33,-17
|
||||
p=51,28 v=43,-55
|
||||
p=98,11 v=-72,95
|
||||
p=80,17 v=-53,10
|
||||
p=76,54 v=65,-77
|
||||
p=76,98 v=-74,66
|
||||
p=12,50 v=97,64
|
||||
p=53,27 v=67,26
|
||||
p=22,89 v=57,-60
|
||||
p=23,34 v=40,-43
|
||||
p=35,85 v=17,-6
|
||||
@ -1,71 +0,0 @@
|
||||
##################################################
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
#O..O...#O.O..#OO#O....O...#....OOO...O.###.#.OO.#
|
||||
#.....O.....OO..O......O......O..........OOO..OO##
|
||||
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|
||||
#O....O...#O......O..O.OO....O..O.OO....#......O##
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
#.O........#.O..O.O..#.#O#.OOO.....O..#.....#....#
|
||||
#..O.O..#O#....OO#OO.#O#@.O..O.O.#...#.O.........#
|
||||
#O....O.....O...O.#........O.OO.O..#...O....OO...#
|
||||
#..OO.....O#.........O#........OOO...OO...#O#O..O#
|
||||
#O....O...#O.O......O..OOO....OO#O..OO...........#
|
||||
#O#.O..O...OO..........O.O...O.......OOO.........#
|
||||
#...O.....O...O..#OOOO..O......#....#.O....O.....#
|
||||
#..O..O.OOOO.O.......O.....O...#....O...O..OO.O.O#
|
||||
#..OOO..O..OO.OO..O......O...#O...#.....O.....O..#
|
||||
#..OO.O..O..#O....OO.....OO..O#O..#..O.#..#....O.#
|
||||
#.O.#.#..##O.....O.....#OO...#......O.OO.O..OOOO.#
|
||||
#..OO.O..O#.....#....O#......#......#.O..#..O..O.#
|
||||
#O#...O.O..#....O.OO#.O.#....O.....#O......O..O.##
|
||||
#......##O.OO.O#.O...O..OO#.O..###........O.OOO..#
|
||||
#...O..#..O....O.#..#......O..O..#O...O...O......#
|
||||
#.OO.OOOO.OO..#...OO......O.O.....O...O....#..O#O#
|
||||
#O..#OOOO..#.O.O.......O...O.OO...O.........OO...#
|
||||
#.O.....OO..O.....O.O#..OO...O#......O.....O....O#
|
||||
#O.O..O.O...OO.O.....##...O..O....#O...OOO...O.#.#
|
||||
##.O..O.O.O..##O#......O.OOO.#.....O.....O..#....#
|
||||
#....#...O#...#..##.O.............O..#O..O..#.O..#
|
||||
#...O..O#O....O...O...#.....O#OO...O.....#.O.....#
|
||||
#.#O...O.O.O..O.#.O....O..O#..O.OOO..O....OO.....#
|
||||
#......O..........O..#.#.....O...O..OO..O.O.##..##
|
||||
#.O..O..OO.OOO..O...O.....O....O.......OOOOOO.O..#
|
||||
#...#.O.#O#....#.O....OO..O.##....O.O.#.....#..O.#
|
||||
##################################################
|
||||
|
||||
>vv^v>^^<>vv>v>^^<<^^>>^><^v<v<^>>v^><><<<<vv<^vv<^<>>><<v<^>>>>^^>>>v^v>^<v>>^^<>>^>^v><vv>v<^<^>><<v>^v^^v<^><<<<^><^v>^<>>^^vv<<<v^^><>vv<<<^<^v<>v<<<>>>v>v^>><v<>>^v^<v^v><<v<<^>^^<<^v>^v>vv^<><v^<v<^>v^<>^><<<^>>>^v^>>^^^^<<v<^>vv<^<><<>vvv<><vv><><v><^<v^^^v><<<<<vvv<>^<^>>vv^^^>v^>^v^^^v>^^><<<>^^v>^<^<>vv>>v^v<^^<<v><>>><^^v^<^<^v<^><^vv>vvvvv><>v<^^v<^v<<v>>>v<v<<>>^<v^>vv^>v<<^^<^<>v<><^v>vv>>^>><v<v<>^^<^><>v<v<>^^<v^vvv>>><v>><vvv><>v^v^<^<<v<v^^v<^^v^>^vv>^^<>v^^^^>vv<v^^^<^^v^^<>^><v><>v>^<v^vvv^<<^>>^^>^<>vv>v>v<^><v^v^<>^<^^><>^<v>vv<>v>^>>v^^^^>>v<v<^v<<v<>v<>^<>vv<>><<>v<vv^^<v<v^<^><v>^^^<^>vvv<^<<vv<v>^^^^<^>>><>>>v>>v><^<vv^<v^<^vv>><>v^<v<>>>><<v><v^>v^v^^<v<v<^v>^><<>>>v<v^<<>^^^^^v^^^<<v^<v>>>v<^vvv^>>^v^<^vv^v>^vvv>>^^^>v^>>^><^>^^<^<<^v><^<^<<>^^<<^<vv>>v^vvvvvv><v<^^v><^><><>^<<>v^><<>v<v>><<v^^vv^^v<>^>>>>>^>>^>><<v>v<v<>^>v<v^v^^<^<vv^^>>v>v<<<>^v^<<<^>^>^vv^^>v>>>^^>><v><>^<><^>><v>>v^<<<<^v^>v^>^v^v<>v^>v<^v><<>^^<>>v<>^<>vv^>v>^v<^><v>v><^><<<^>>v^<<>>^v
|
||||
<>>>^v<<>^<<v<>^<>>><^v<<<>^<^<<vvv>^<v><>^vv^<<>v^vvv<<^v><>^v>^v><v<>>>^vv^v<vvv>^<>^<v<^^<>vvv<<^>v^^^v^>>^vv>^vv>^^>>>^<v<^v<vv>^>v>v<v<>><vv<^v>^^^vvv^^vv<>^<v><^>^<^>>v>><>><^v>^>^>^^<<vv>v>v>>^<^><<^<v<<<^<v><<^v^><^><v^^<^^<<<><>>^v><^^<<>>v^^<^v><^<v>v><>><>v<>^v^<<>>v^<>><<^<<v>^<^>v<v<vv<<v><<^<<>>v>>^>v<v^><^>^><<<><v<<<^^>vv<v^^vv^>>><v^<>v>^v<<><^<^<<>>>^vv^>^^<<<<vv>v>^^<><><^>>v>v>v>v<><vvv^>>^<>v^<^v^>v^<<><vv^>^^vvv<<<<v>^<vv<<>>>v^v^v^<><<v^<^<>><^^vv^v><v^vv<<^^<v^<>v><^><v^<>^^>^<<>vv<^><>^vv>><v>v><><<vv<v>>^><<^^><^>^vv>^v^><>v>v<>^<<v<<>^>><>v^vv>vvv>v>v>v^v^>^<vv>^<<v>^>v<^vvvv<<^^v<^^<>v<>v^>>v^v^<^v>v>><<<^v>v><vvvv<v>^<^<<<><>v>v<<^>><^vvv><<>^<>>vv>^>^<v>>>vv^<v^>><><^vv>v>v<^^><<<<<<v>^v>v>^^<v>v><<v^^v^vv>>><^v<<<v^v<<>><>^v<>>^<^v^^vv>>>^>v>^vv<<vv>^><^<>>vv>>^^<^><^^>><v^vv^<v^>vv<v<vvv>>vv^v<<>v^>><<vv>><^<>v>vv>^<v>^^>>v><<><^<>><><>^^^^v><^>^^<v^<>v>^^<^<v<vv^^^<>>v^vv^>>^^^vv<<>^^>>^v>>>>^><^^<^<v<>>><v<^<^>vv^v>^^^v^>><>vv><v<>^>>^<<v^v^v^^vv^<v>^<
|
||||
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|
||||
<v^<^^vvv^v<<^<v^<^vv^v>><>><<><>^v^^v^^^<v>v<^v<v^><v<>vv^<vv<^>^>^^>v<>vv^v^^><^^>>><vv<>><v><^>vv>>><^>v>v<^<<><<<v>v<v<>^>>>>v<^><^v^<>^>^><v>^vv<<^>>^v>^^^>^>v^v<>>^<>vv^^v^^<^<vv>v>^v>>>vv^>><v>vv<>><^<><v><v>^v>>>>^<^^<<>v<^vv><<^^<<v<v<v<<v>v>^vv>>vv<<>><^<^<v<>v<>^<^<<>v^vv>v<>^vvv>^<vv><v>^^vvv^^^>^v<^v^v^<<>^vvv>^>^vv>v^>^><vv^^v>vv<<v^><v>v<>>>>>^^>vv>vvv<vv<<^v<^<^v>^<^><v>^><<^<^<v<vv<><<v>^v><<v>>v^vv<^<<v<^>^>v<vv<^v><v^>^<v<>>v<>>^v^v^><^<<^v<vv><v^^^v<>>><>v<vvv><>^vv<>^><v>^><<<^v>>v^^>^^<^v>><^^>v<^<<>^v>><<v<^>>v<><>vv>vv>^^<v<^^<^<<^^<^^><v^>v>><<^^>v<<<^<v^><<^vv><>>v<><>^>v<^<<^>^>v><>v>^vvv<<<^>^^vv^>v<<v>^^^v<<>v^>v>><>>^v<^^><>><>v<v<vv>v<<>^>>^v^^<vv<^>^^>vvv^>v^>><><^<<>^<^<>v^>>^^^<^^v<vv>^<<<<<^vvv<><>^>>><^v<>^^^^v<^>>v>^v<<>>v^v<^>vvv<v^vvv><^^<>^v>^v>>>>^^<^^<<v><<>>>>>^v><>^><^v<>v>v<^^v^vv^^^<^>v^>^^<<v>^>>>^>^^vv<v<^v^<>v<vv^^vv^<^>v>v<<>>>^><<<^v>v<<vv^<>><v<><<>v^<^vv<>v><<^<>^><vvvv>v><<><^^<>v>>^<>vvvvv<<^^^>><v^<v>><>v><><^>><>^>>^><^<^^^^v^^vv
|
||||
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|
||||
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|
||||
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|
||||
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@ -1,5 +0,0 @@
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Register B: 0
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Program: 2,4,1,7,7,5,4,1,1,4,5,5,0,3,3,0
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#.........###...###.....#...............###...........###.....#...###...###...###...#...###...#...#.....###.....#...#...#...#...#...#.......#
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||||
#############################################################################################################################################
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||||
@ -1,5 +0,0 @@
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129A
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596A
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File diff suppressed because it is too large
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File diff suppressed because one or more lines are too long
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inc a
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|
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@ -1,10 +0,0 @@
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1
|
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2
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3
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4
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5
|
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7
|
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8
|
||||
9
|
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10
|
||||
11
|
||||
@ -1 +0,0 @@
|
||||
To continue, please consult the code grid in the manual. Enter the code at row 6, column 5.
|
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@ -1,10 +0,0 @@
|
||||
[({(<(())[]>[[{[]{<()<>>
|
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|
||||
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|
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|
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|
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|
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|
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5483143223
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4167524645
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2176841721
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4846848554
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5283751526
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fs-end
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start-DX
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96549874
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MIIISIJEEE
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||||
@ -1,15 +0,0 @@
|
||||
Button A: X+94, Y+34
|
||||
Button B: X+22, Y+67
|
||||
Prize: X=8400, Y=5400
|
||||
|
||||
Button A: X+26, Y+66
|
||||
Button B: X+67, Y+21
|
||||
Prize: X=12748, Y=12176
|
||||
|
||||
Button A: X+17, Y+86
|
||||
Button B: X+84, Y+37
|
||||
Prize: X=7870, Y=6450
|
||||
|
||||
Button A: X+69, Y+23
|
||||
Button B: X+27, Y+71
|
||||
Prize: X=18641, Y=10279
|
||||
@ -1,12 +0,0 @@
|
||||
p=0,4 v=3,-3
|
||||
p=6,3 v=-1,-3
|
||||
p=10,3 v=-1,2
|
||||
p=2,0 v=2,-1
|
||||
p=0,0 v=1,3
|
||||
p=3,0 v=-2,-2
|
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p=7,6 v=-1,-3
|
||||
p=3,0 v=-1,-2
|
||||
p=9,3 v=2,3
|
||||
p=7,3 v=-1,2
|
||||
p=2,4 v=2,-3
|
||||
p=9,5 v=-3,-3
|
||||
@ -1,21 +0,0 @@
|
||||
##########
|
||||
#..O..O.O#
|
||||
#......O.#
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
##########
|
||||
|
||||
<vv>^<v^>v>^vv^v>v<>v^v<v<^vv<<<^><<><>>v<vvv<>^v^>^<<<><<v<<<v^vv^v>^
|
||||
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|
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|
||||
<<v<^>>^^^^>>>v^<>vvv^><v<<<>^^^vv^<vvv>^>v<^^^^v<>^>vvvv><>>v^<<^^^^^
|
||||
^><^><>>><>^^<<^^v>>><^<v>^<vv>>v>>>^v><>^v><<<<v>>v<v<v>vvv>^<><<>^><
|
||||
^>><>^v<><^vvv<^^<><v<<<<<><^v<<<><<<^^<v<^^^><^>>^<v^><<<^>>^v<v^v<v^
|
||||
>^>>^v>vv>^<<^v<>><<><<v<<v><>v<^vv<<<>^^v^>^^>>><<^v>>v^v><^^>>^<>vv^
|
||||
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|
||||
^^>vv<^v^v<vv>^<><v<^v>^^^>>>^^vvv^>vvv<>>>^<^>>>>>^<<^v>^vvv<>^<><<v>
|
||||
v^^>>><<^^<>>^v^<v^vv<>v^<<>^<^v^v><^<<<><<^<v><v<>vv>>v><v^<vv<>v^<<^
|
||||
@ -1,15 +0,0 @@
|
||||
###############
|
||||
#.......#....E#
|
||||
#.#.###.#.###.#
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@ -1,17 +0,0 @@
|
||||
#################
|
||||
#...#...#...#..E#
|
||||
#.#.#.#.#.#.#.#.#
|
||||
#.#.#.#...#...#.#
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
#.#.#####.#.###.#
|
||||
#.#.#.......#...#
|
||||
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|
||||
#.#.#...#.....#.#
|
||||
#.#.#.#####.###.#
|
||||
#.#.#.........#.#
|
||||
#.#.#.#########.#
|
||||
#S#.............#
|
||||
#################
|
||||
@ -1,5 +0,0 @@
|
||||
Register A: 729
|
||||
Register B: 0
|
||||
Register C: 0
|
||||
|
||||
Program: 0,1,5,4,3,0
|
||||
@ -1,5 +0,0 @@
|
||||
Register A: 2024
|
||||
Register B: 0
|
||||
Register C: 0
|
||||
|
||||
Program: 0,3,5,4,3,0
|
||||
@ -1,25 +0,0 @@
|
||||
5,4
|
||||
4,2
|
||||
4,5
|
||||
3,0
|
||||
2,1
|
||||
6,3
|
||||
2,4
|
||||
1,5
|
||||
0,6
|
||||
3,3
|
||||
2,6
|
||||
5,1
|
||||
1,2
|
||||
5,5
|
||||
2,5
|
||||
6,5
|
||||
1,4
|
||||
0,4
|
||||
6,4
|
||||
1,1
|
||||
6,1
|
||||
1,0
|
||||
0,5
|
||||
1,6
|
||||
2,0
|
||||
@ -1,10 +0,0 @@
|
||||
r, wr, b, g, bwu, rb, gb, br
|
||||
|
||||
brwrr
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@ -1,15 +0,0 @@
|
||||
###############
|
||||
#...#...#.....#
|
||||
#.#.#.#.#.###.#
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
###############
|
||||
@ -1,5 +0,0 @@
|
||||
029A
|
||||
980A
|
||||
179A
|
||||
456A
|
||||
379A
|
||||
@ -1,4 +0,0 @@
|
||||
1
|
||||
10
|
||||
100
|
||||
2024
|
||||
@ -1,4 +0,0 @@
|
||||
1
|
||||
2
|
||||
3
|
||||
2024
|
||||
@ -1 +0,0 @@
|
||||
2333133121414131402
|
||||
@ -1,5 +0,0 @@
|
||||
Register A: 27575648
|
||||
Register B: 0
|
||||
Register C: 0
|
||||
|
||||
Program: 2,4,1,2,7,5,4,1,1,3,5,5,0,3,3,0
|
||||
@ -1,118 +0,0 @@
|
||||
import heapq
|
||||
from typing import Callable, Iterable, TypeVar, overload
|
||||
|
||||
_Node = TypeVar("_Node")
|
||||
|
||||
|
||||
def make_neighbors_grid_fn(
|
||||
rows: int | Iterable[int],
|
||||
cols: int | Iterable[int],
|
||||
excluded: Iterable[tuple[int, int]] = set(),
|
||||
diagonals: bool = False,
|
||||
):
|
||||
"""
|
||||
Create a neighbors function suitable for graph function for a simple grid.
|
||||
|
||||
Args:
|
||||
rows: Rows of the grid. If an int is specified, the rows are assumed to be
|
||||
numbered from 0 to rows - 1, otherwise the iterable should contain the list
|
||||
of valid rows.
|
||||
cols: Columns of the grid. If an int is specified, the columns are assumed to be
|
||||
numbered from 0 to cols - 1, otherwise the iterable should contain the list
|
||||
of valid columns.
|
||||
excluded: Cells of the grid that cannot be used as valid nodes for the graph.
|
||||
diagonals: If True, neighbors will include diagonal cells, otherwise, only
|
||||
horizontal and vertical neighbors will be included.
|
||||
|
||||
"""
|
||||
ds = ((-1, 0), (0, 1), (1, 0), (0, -1))
|
||||
if diagonals:
|
||||
ds = ds + ((-1, -1), (-1, 1), (1, -1), (1, 1))
|
||||
|
||||
if isinstance(rows, int):
|
||||
rows = range(rows)
|
||||
elif not isinstance(rows, range):
|
||||
rows = set(rows)
|
||||
|
||||
if isinstance(cols, int):
|
||||
cols = range(cols)
|
||||
elif not isinstance(cols, range):
|
||||
cols = set(cols)
|
||||
|
||||
excluded = set(excluded)
|
||||
|
||||
def _fn(node: tuple[int, int]):
|
||||
return (
|
||||
((row_n, col_n), 1)
|
||||
for dr, dc in ds
|
||||
if (row_n := node[0] + dr) in rows
|
||||
and (col_n := node[1] + dc) in cols
|
||||
and (row_n, col_n) not in excluded
|
||||
)
|
||||
|
||||
return _fn
|
||||
|
||||
|
||||
@overload
|
||||
def dijkstra(
|
||||
start: _Node,
|
||||
target: None,
|
||||
neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
|
||||
) -> dict[_Node, tuple[tuple[_Node, ...], float]]: ...
|
||||
|
||||
|
||||
@overload
|
||||
def dijkstra(
|
||||
start: _Node,
|
||||
target: _Node,
|
||||
neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
|
||||
) -> tuple[tuple[_Node, ...], float] | None: ...
|
||||
|
||||
|
||||
def dijkstra(
|
||||
start: _Node,
|
||||
target: _Node | None,
|
||||
neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
|
||||
) -> (
|
||||
dict[_Node, tuple[tuple[_Node, ...], float]]
|
||||
| tuple[tuple[_Node, ...], float]
|
||||
| None
|
||||
):
|
||||
"""
|
||||
Solve shortest-path problem using simple Dijkstra algorithm from start to target,
|
||||
using the given neighbors function.
|
||||
|
||||
Args:
|
||||
start: Starting node of the path.
|
||||
target: Target node for the path.
|
||||
neighbors: Function that should return, for a given node, the list of
|
||||
its neighbors with the cost to go from the node to the neighbor.
|
||||
|
||||
Returns:
|
||||
One of the shortest-path from start to target with its associated cost, if one
|
||||
is found, otherwise None.
|
||||
"""
|
||||
queue: list[tuple[float, _Node, tuple[_Node, ...]]] = [(0, start, (start,))]
|
||||
preds: dict[_Node, tuple[tuple[_Node, ...], float]] = {}
|
||||
|
||||
while queue:
|
||||
dis, node, path = heapq.heappop(queue)
|
||||
|
||||
if node in preds:
|
||||
continue
|
||||
|
||||
preds[node] = (path, dis)
|
||||
|
||||
if node == target:
|
||||
break
|
||||
|
||||
for neighbor, cost in neighbors(node):
|
||||
if neighbor in preds:
|
||||
continue
|
||||
|
||||
heapq.heappush(queue, (dis + cost, neighbor, path + (neighbor,)))
|
||||
|
||||
if target is None:
|
||||
return preds
|
||||
|
||||
return preds.get(target, None)
|
||||
@ -1,21 +0,0 @@
|
||||
def pow_mod(b: int, e: int, m: int):
|
||||
"""
|
||||
Compute (b ** e) % m using right-to-left binary method.
|
||||
|
||||
See https://en.wikipedia.org/wiki/Modular_exponentiation.
|
||||
|
||||
Args:
|
||||
b: Base to exponentiate.
|
||||
e: Exponent.
|
||||
m: Modulus.
|
||||
|
||||
Returns:
|
||||
(b ** e) % m.
|
||||
"""
|
||||
r = 1
|
||||
while e > 0:
|
||||
if e % 2 == 1:
|
||||
r = (r * b) % m
|
||||
e >>= 1
|
||||
b = (b * b) % m
|
||||
return r
|
||||
@ -1,13 +0,0 @@
|
||||
from .answer import dump_answer
|
||||
from .base import dump_api_message
|
||||
from .files import FileHandlerAPI
|
||||
from .logger import LoggerAPIHandler
|
||||
from .progress import ProgressAPI
|
||||
|
||||
__all__ = [
|
||||
"dump_answer",
|
||||
"dump_api_message",
|
||||
"FileHandlerAPI",
|
||||
"LoggerAPIHandler",
|
||||
"ProgressAPI",
|
||||
]
|
||||
@ -1,16 +0,0 @@
|
||||
from datetime import timedelta
|
||||
from typing import Any
|
||||
|
||||
from .base import dump_api_message
|
||||
|
||||
|
||||
def dump_answer(part: int, answer: Any, answer_time: timedelta, total_time: timedelta):
|
||||
dump_api_message(
|
||||
"answer",
|
||||
{
|
||||
"answer": part,
|
||||
"value": str(answer),
|
||||
"answerTime_s": answer_time.total_seconds(),
|
||||
"totalTime_s": total_time.total_seconds(),
|
||||
},
|
||||
)
|
||||
@ -1,28 +0,0 @@
|
||||
import json
|
||||
import sys
|
||||
from datetime import datetime
|
||||
from typing import Any, Literal, TextIO
|
||||
|
||||
|
||||
def _datetime_formatter(value: Any) -> Any:
|
||||
if isinstance(value, datetime):
|
||||
return value.isoformat()
|
||||
else:
|
||||
return value
|
||||
|
||||
|
||||
def dump_api_message(
|
||||
type: Literal[
|
||||
"log", "answer", "file", "progress-start", "progress-step", "progress-end"
|
||||
],
|
||||
content: Any,
|
||||
file: TextIO = sys.stdout,
|
||||
):
|
||||
print(
|
||||
json.dumps(
|
||||
{"type": type, "time": datetime.now(), "content": content},
|
||||
default=_datetime_formatter,
|
||||
),
|
||||
flush=True,
|
||||
file=file,
|
||||
)
|
||||
@ -1,23 +0,0 @@
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Final
|
||||
|
||||
from ...base import FileHandler
|
||||
from .base import dump_api_message
|
||||
|
||||
|
||||
class FileHandlerAPI(FileHandler):
|
||||
def __init__(self, folder: Path):
|
||||
self.folder: Final = folder
|
||||
|
||||
def make_path(self, filename: str) -> Path:
|
||||
return self.folder.joinpath(filename)
|
||||
|
||||
def notify_created(self, path: Path):
|
||||
dump_api_message("file", {"filename": path.name, "size": os.stat(path).st_size})
|
||||
|
||||
def _create(self, path: Path, content: bytes, text: bool = False):
|
||||
self.folder.mkdir(exist_ok=True)
|
||||
with open(path, "wb") as fp:
|
||||
fp.write(content)
|
||||
return path
|
||||
@ -1,16 +0,0 @@
|
||||
import logging.handlers
|
||||
import sys
|
||||
from typing import TextIO
|
||||
|
||||
from .base import dump_api_message
|
||||
|
||||
|
||||
class LoggerAPIHandler(logging.Handler):
|
||||
def __init__(self, output: TextIO = sys.stdout):
|
||||
super().__init__()
|
||||
self.output = output
|
||||
|
||||
def emit(self, record: logging.LogRecord):
|
||||
dump_api_message(
|
||||
"log", {"level": record.levelname, "message": record.getMessage()}
|
||||
)
|
||||
@ -1,57 +0,0 @@
|
||||
import sys
|
||||
from datetime import datetime, timedelta
|
||||
from typing import Iterable, Iterator, Sequence, TextIO, TypeVar
|
||||
|
||||
from .base import dump_api_message
|
||||
|
||||
_T = TypeVar("_T")
|
||||
|
||||
|
||||
class ProgressAPI:
|
||||
def __init__(
|
||||
self,
|
||||
min_step: int = 1,
|
||||
min_time: timedelta = timedelta(milliseconds=100),
|
||||
output: TextIO = sys.stdout,
|
||||
):
|
||||
super().__init__()
|
||||
|
||||
self.counter = 0
|
||||
self.output = output
|
||||
self.min_step = min_step
|
||||
self.min_time = min_time
|
||||
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
total = total or len(values) # type: ignore
|
||||
|
||||
current = self.counter
|
||||
self.counter += 1
|
||||
|
||||
dump_api_message("progress-start", {"counter": current, "total": total})
|
||||
|
||||
try:
|
||||
percent = 0
|
||||
time = datetime.now()
|
||||
|
||||
for i_value, value in enumerate(values):
|
||||
yield value
|
||||
|
||||
if datetime.now() - time < self.min_time:
|
||||
continue
|
||||
|
||||
time = datetime.now()
|
||||
|
||||
c_percent = round(i_value / total * 100)
|
||||
|
||||
if c_percent >= percent + self.min_step:
|
||||
dump_api_message(
|
||||
"progress-step", {"counter": current, "percent": c_percent}
|
||||
)
|
||||
percent = c_percent
|
||||
finally:
|
||||
dump_api_message(
|
||||
"progress-end",
|
||||
{"counter": current},
|
||||
)
|
||||
@ -1,26 +0,0 @@
|
||||
import logging
|
||||
from pathlib import Path
|
||||
from typing import Final
|
||||
|
||||
from ..base import FileHandler
|
||||
|
||||
|
||||
class SimpleFileHandler(FileHandler):
|
||||
def __init__(self, logger: logging.Logger, folder: Path):
|
||||
self.logger: Final = logger
|
||||
self.folder: Final = folder
|
||||
|
||||
def make_path(self, filename: str) -> Path:
|
||||
return self.folder.joinpath(filename)
|
||||
|
||||
def notify_created(self, path: Path): ...
|
||||
|
||||
def _create(self, path: Path, content: bytes, text: bool = False):
|
||||
if text:
|
||||
for line in content.decode("utf-8").splitlines():
|
||||
self.logger.info(line)
|
||||
else:
|
||||
self.folder.mkdir(exist_ok=True)
|
||||
with open(path, "wb") as fp:
|
||||
fp.write(content)
|
||||
return path
|
||||
@ -1,19 +0,0 @@
|
||||
from typing import Iterable, Iterator, Sequence, TypeVar
|
||||
|
||||
_T = TypeVar("_T")
|
||||
|
||||
|
||||
class ProgressTQDM:
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
from tqdm import tqdm
|
||||
|
||||
return iter(tqdm(values, total=total))
|
||||
|
||||
|
||||
class ProgressNone:
|
||||
def wrap(
|
||||
self, values: Sequence[_T] | Iterable[_T], total: int | None = None
|
||||
) -> Iterator[_T]:
|
||||
return iter(values)
|
||||
Loading…
Reference in New Issue
Block a user