Ignore root files folder.

Co-authored-by: Mikael CAPELLE <mikael.capelle@thalesaleniaspace.com>
Co-authored-by: Mikaël Capelle <capelle.mikael@gmail.com>
Reviewed-on: #3

.gitignore

@@ -4,3 +4,4 @@ __pycache__
 .ruff_cache
 .vscode
 build
+files

poetry.lock

@@ -1,4 +1,15 @@
-# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+
+[[package]]
+name = "absl-py"
+version = "2.1.0"
+description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "absl-py-2.1.0.tar.gz", hash = "sha256:7820790efbb316739cde8b4e19357243fc3608a152024288513dd968d7d959ff"},
+    {file = "absl_py-2.1.0-py3-none-any.whl", hash = "sha256:526a04eadab8b4ee719ce68f204172ead1027549089702d99b9059f129ff1308"},
+]
 
 [[package]]
 name = "appnope"
@@ -133,6 +144,30 @@ traitlets = ">=4"
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "cplex"
+version = "22.1.1.2"
+description = "A Python interface to the CPLEX Callable Library, Community Edition."
+optional = false
+python-versions = "*"
+files = [
+    {file = "cplex-22.1.1.2-cp310-cp310-macosx_10_6_x86_64.whl", hash = "sha256:d74a91f6e9c6f4ad4c7c69f7ab937ea9e91178a556f6f105c87eef9e434ea42e"},
+    {file = "cplex-22.1.1.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b066b5aa01fcf7cb471ad41920b3fecdd87dc95686e9a7031ff470873f0db10f"},
+    {file = "cplex-22.1.1.2-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:a7230032928b1a657c384d3f49c04d8b80d0ab8134a2f4c0b26ff50e71ec767a"},
+    {file = "cplex-22.1.1.2-cp310-cp310-manylinux2014_ppc64le.whl", hash = "sha256:dd81e8ee7a7f1fb5769bcbb1349b084b37c495cbd0db1a095d774f97d790ee3c"},
+    {file = "cplex-22.1.1.2-cp310-cp310-win_amd64.whl", hash = "sha256:68b33bb9ff84be3442a6f71000e7214781c6aa8674143a9aa79cb9a84e697dfd"},
+    {file = "cplex-22.1.1.2-cp311-cp311-macosx_10_6_x86_64.whl", hash = "sha256:cda2f59af50d6c3d6476b2e38aba1e947f9bd72591d71961a9d53b5582062ba9"},
+    {file = "cplex-22.1.1.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:0f69a539ed50994e26e32c3d2b203eb5f112d1ba64400241614e1a91c0933974"},
+    {file = "cplex-22.1.1.2-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:2a0f6984980779e6878a6cded52ee08806bae49af6bd209c7740549417e69e96"},
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+    {file = "cplex-22.1.1.2-cp311-cp311-win_amd64.whl", hash = "sha256:46550cac476d74cc95dc3abf6f9bfe08c9fd61d889e20f2028f754b9fe503b88"},
+    {file = "cplex-22.1.1.2-cp39-cp39-macosx_10_6_x86_64.whl", hash = "sha256:21f6fd1ad4876a7775e64fe8a1fb43f6bb7a010c5e099abdb8c01887a8cc1d84"},
+    {file = "cplex-22.1.1.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:d6acbf74c3fe32f2138a98730d1ebe3fa275c8c3fdcd8b1f68d312bfe9ef6899"},
+    {file = "cplex-22.1.1.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:3211f9c84f44c6317ea1e83a6c2ff1cfdc08532f421987b7faa8c07a018dfae5"},
+    {file = "cplex-22.1.1.2-cp39-cp39-manylinux2014_ppc64le.whl", hash = "sha256:648ad8c1c83ea30b0802c571a0dbf7fac23dcb9dc121ea0768c1794313aec2a7"},
+    {file = "cplex-22.1.1.2-cp39-cp39-win_amd64.whl", hash = "sha256:285b26008a77942c6c9c29bff91e1658c1beed2aa520e1a8b26137d81abf81dc"},
+]
+
 [[package]]
 name = "debugpy"
 version = "1.8.9"
@@ -179,6 +214,19 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
+[[package]]
+name = "docplex"
+version = "2.28.240"
+description = "The IBM Decision Optimization CPLEX Modeling for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "docplex-2.28.240.tar.gz", hash = "sha256:c0de407e33f8709bb4cd91b6efeb96fd88bfecbdce2caec51afb79253bde6ff5"},
+]
+
+[package.dependencies]
+six = "*"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.2"
@@ -207,6 +255,50 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "imageio"
+version = "2.36.1"
+description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
+optional = false
+python-versions = ">=3.9"
+files = [
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+    {file = "imageio-2.36.1.tar.gz", hash = "sha256:e4e1d231f47f9a9e16100b0f7ce1a86e8856fb4d1c0fa2c4365a316f1746be62"},
+]
+
+[package.dependencies]
+numpy = "*"
+pillow = ">=8.3.2"
+
+[package.extras]
+all-plugins = ["astropy", "av", "imageio-ffmpeg", "numpy (>2)", "pillow-heif", "psutil", "rawpy", "tifffile"]
+all-plugins-pypy = ["av", "imageio-ffmpeg", "pillow-heif", "psutil", "tifffile"]
+build = ["wheel"]
+dev = ["black", "flake8", "fsspec[github]", "pytest", "pytest-cov"]
+docs = ["numpydoc", "pydata-sphinx-theme", "sphinx (<6)"]
+ffmpeg = ["imageio-ffmpeg", "psutil"]
+fits = ["astropy"]
+full = ["astropy", "av", "black", "flake8", "fsspec[github]", "gdal", "imageio-ffmpeg", "itk", "numpy (>2)", "numpydoc", "pillow-heif", "psutil", "pydata-sphinx-theme", "pytest", "pytest-cov", "rawpy", "sphinx (<6)", "tifffile", "wheel"]
+gdal = ["gdal"]
+itk = ["itk"]
+linting = ["black", "flake8"]
+pillow-heif = ["pillow-heif"]
+pyav = ["av"]
+rawpy = ["numpy (>2)", "rawpy"]
+test = ["fsspec[github]", "pytest", "pytest-cov"]
+tifffile = ["tifffile"]
+
+[[package]]
+name = "immutabledict"
+version = "4.2.1"
+description = "Immutable wrapper around dictionaries (a fork of frozendict)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "immutabledict-4.2.1-py3-none-any.whl", hash = "sha256:c56a26ced38c236f79e74af3ccce53772827cef5c3bce7cab33ff2060f756373"},
+    {file = "immutabledict-4.2.1.tar.gz", hash = "sha256:d91017248981c72eb66c8ff9834e99c2f53562346f23e7f51e7a5ebcf66a3bcc"},
+]
+
 [[package]]
 name = "ipykernel"
 version = "6.29.5"
@@ -430,68 +522,133 @@ files = [
 
 [[package]]
 name = "numpy"
-version = "2.1.3"
+version = "2.2.0"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.10"
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 ]
 
 [package.dependencies]
@@ -1026,90 +1308,40 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "ruff"
-version = "0.8.1"
+version = "0.8.3"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "ruff-0.8.3.tar.gz", hash = "sha256:5e7558304353b84279042fc584a4f4cb8a07ae79b2bf3da1a7551d960b5626d3"},
 ]
 
-[[package]]
-name = "scipy"
-version = "1.14.1"
-description = "Fundamental algorithms for scientific computing in Python"
-optional = false
-python-versions = ">=3.10"
-files = [
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-]
-
-[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 = "1.16.0"
+version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
-    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
-    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+    {file = "six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
+    {file = "six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81"},
 ]
 
 [[package]]
@@ -1295,4 +1527,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "c91bc307ff4a5b3e8cd1976ebea211c9749fe09d563dd80861f70ce26826cda9"
+content-hash = "5b57bccd8dc65a9acecbe187939bae625ef6a259f4188c6587907245bcfa604f"

pyproject.toml

@@ -12,10 +12,12 @@ 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"
-pandas = "^2.2.3"
+pillow = "^11.0.0"
+imageio = "^2.36.1"
+pygifsicle = "^1.1.0"
+opencv-python = "^4.10.0.84"
 
 [tool.poetry.group.dev.dependencies]
 pyright = "^1.1.389"
@@ -25,6 +27,13 @@ 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"
 

src/holt59/aoc/2015/day19.py

@@ -52,7 +52,6 @@ class Solver(BaseSolver):
                     m2 += molecule[i]
                     i += 1
 
-            # print(m2)
             molecule = m2
 
         yield count

src/holt59/aoc/2015/day22.py

@@ -173,7 +173,6 @@ class Solver(BaseSolver):
             )
         )
 
-        # 1242 (not working)
         yield sum(
             c
             for _, c in play(

src/holt59/aoc/2015/day23.py

@@ -0,0 +1,107 @@
+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"]

src/holt59/aoc/2015/day24.py

@@ -0,0 +1,88 @@
+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)

src/holt59/aoc/2015/day25.py

@@ -0,0 +1,16 @@
+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

src/holt59/aoc/2021/day1.py

@@ -1,14 +1,17 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-values = [int(line) for line in lines]
 
-# part 1
-answer_1 = sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:]))
-print(f"answer 1 is {answer_1}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
-# part 2
-runnings = [sum(values[i : i + 3]) for i in range(len(values) - 2)]
-answer_2 = sum(v2 > v1 for v1, v2 in zip(runnings[:-1], runnings[1:]))
-print(f"answer 2 is {answer_2}")
+        values = [int(line) for line in lines]
+
+        # part 1
+        yield sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:]))
+
+        # part 2
+        runnings = [sum(values[i : i + 3]) for i in range(len(values) - 2)]
+        yield sum(v2 > v1 for v1, v2 in zip(runnings[:-1], runnings[1:]))

src/holt59/aoc/2021/day10.py

@@ -1,11 +1,47 @@
-import sys
+from functools import reduce
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
+BRACKETS = {"{": "}", "[": "]", "<": ">", "(": ")"}
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+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]

src/holt59/aoc/2021/day11.py

@@ -1,11 +1,66 @@
-import sys
+import itertools as it
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+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

src/holt59/aoc/2021/day12.py

@@ -1,11 +1,64 @@
-import sys
+import string
+from collections import defaultdict
+from functools import cache
+from typing import Any, Iterator, Mapping, Sequence
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+@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)))

src/holt59/aoc/2021/day13.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day14.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day15.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day16.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day17.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day18.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day19.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day2.py

@@ -1,41 +1,38 @@
-import sys
 from math import prod
-from typing import Literal, TypeAlias, cast
+from typing import Any, Iterator, Literal, TypeAlias, cast
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
 Command: TypeAlias = Literal["forward", "up", "down"]
 
-commands: list[tuple[Command, int]] = [
-    (cast(Command, (p := line.split())[0]), int(p[1])) for line in lines
-]
 
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
-def depth_and_position(use_aim: bool):
-    aim, pos, depth = 0, 0, 0
-    for command, value in commands:
-        d_depth = 0
-        match command:
-            case "forward":
-                pos += value
-                depth += value * aim
-            case "up":
-                d_depth = -value
-            case "down":
-                d_depth = value
+        commands: list[tuple[Command, int]] = [
+            (cast(Command, (p := line.split())[0]), int(p[1])) for line in lines
+        ]
 
-        if use_aim:
-            aim += d_depth
-        else:
-            depth += value
+        def depth_and_position(use_aim: bool):
+            aim, pos, depth = 0, 0, 0
+            for command, value in commands:
+                d_depth = 0
+                match command:
+                    case "forward":
+                        pos += value
+                        depth += value * aim
+                    case "up":
+                        d_depth = -value
+                    case "down":
+                        d_depth = value
 
-    return depth, pos
+                if use_aim:
+                    aim += d_depth
+                else:
+                    depth += value
 
+            return depth, pos
 
-# part 1
-answer_1 = prod(depth_and_position(False))
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = prod(depth_and_position(True))
-print(f"answer 2 is {answer_2}")
+        yield prod(depth_and_position(False))
+        yield prod(depth_and_position(True))

src/holt59/aoc/2021/day20.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day21.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day22.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day23.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day24.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day25.py

@@ -1,11 +1,7 @@
-import sys
+from typing import Any, Iterator
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
 
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]: ...

src/holt59/aoc/2021/day3.py

@@ -1,6 +1,7 @@
-import sys
 from collections import Counter
-from typing import Literal
+from typing import Any, Iterator, Literal
+
+from ..base import BaseSolver
 
 
 def generator_rating(
@@ -20,20 +21,23 @@ def generator_rating(
     return values[0]
 
 
-lines = sys.stdin.read().splitlines()
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
+        # part 1
+        most_and_least_common = [
+            tuple(
+                Counter(line[col] for line in lines).most_common(2)[m][0]
+                for m in range(2)
+            )
+            for col in range(len(lines[0]))
+        ]
+        gamma_rate = int("".join(most for most, _ in most_and_least_common), base=2)
+        epsilon_rate = int("".join(least for _, least in most_and_least_common), base=2)
+        yield gamma_rate * epsilon_rate
 
-# part 1
-most_and_least_common = [
-    tuple(Counter(line[col] for line in lines).most_common(2)[m][0] for m in range(2))
-    for col in range(len(lines[0]))
-]
-gamma_rate = int("".join(most for most, _ in most_and_least_common), base=2)
-epsilon_rate = int("".join(least for _, least in most_and_least_common), base=2)
-print(f"answer 1 is {gamma_rate * epsilon_rate}")
-
-# part 2
-oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2)
-co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2)
-answer_2 = oxygen_generator_rating * co2_scrubber_rating
-print(f"answer 2 is {answer_2}")
+        # part 2
+        oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2)
+        co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2)
+        yield oxygen_generator_rating * co2_scrubber_rating

src/holt59/aoc/2021/day4.py

@@ -1,45 +1,52 @@
-import sys
+from typing import Any, Iterator
 
 import numpy as np
 
-lines = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-numbers = [int(c) for c in lines[0].split(",")]
 
-boards = np.asarray(
-    [
-        [[int(c) for c in line.split()] for line in lines[start : start + 5]]
-        for start in range(2, len(lines), 6)
-    ]
-)
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
-# (round, score) for each board (-1 when not found)
-winning_rounds: list[tuple[int, int]] = [(-1, -1) for _ in range(len(boards))]
-marked = np.zeros_like(boards, dtype=bool)
+        numbers = [int(c) for c in lines[0].split(",")]
 
-for round, number in enumerate(numbers):
-    # mark boards
-    marked[boards == number] = True
+        boards = np.asarray(
+            [
+                [[int(c) for c in line.split()] for line in lines[start : start + 5]]
+                for start in range(2, len(lines), 6)
+            ]
+        )
 
-    # check each board for winning
-    for index in range(len(boards)):
-        if winning_rounds[index][0] > 0:
-            continue
+        # (round, score) for each board (-1 when not found)
+        winning_rounds: list[tuple[int, int]] = [(-1, -1) for _ in range(len(boards))]
+        marked = np.zeros_like(boards, dtype=bool)
 
-        if np.any(np.all(marked[index], axis=0) | np.all(marked[index], axis=1)):
-            winning_rounds[index] = (
-                round,
-                number * int(np.sum(boards[index][~marked[index]])),
-            )
+        for round, number in enumerate(numbers):
+            # mark boards
+            marked[boards == number] = True
 
-    # all boards are winning - break
-    if np.all(marked.all(axis=1) | marked.all(axis=2)):
-        break
+            # check each board for winning
+            for index in range(len(boards)):
+                if winning_rounds[index][0] > 0:
+                    continue
 
-# part 1
-(_, score) = min(winning_rounds, key=lambda w: w[0])
-print(f"answer 1 is {score}")
+                if np.any(
+                    np.all(marked[index], axis=0) | np.all(marked[index], axis=1)
+                ):
+                    winning_rounds[index] = (
+                        round,
+                        number * int(np.sum(boards[index][~marked[index]])),
+                    )
 
-# part 2
-(_, score) = max(winning_rounds, key=lambda w: w[0])
-print(f"answer 2 is {score}")
+            # all boards are winning - break
+            if np.all(marked.all(axis=1) | marked.all(axis=2)):
+                break
+
+        # part 1
+        (_, score) = min(winning_rounds, key=lambda w: w[0])
+        yield score
+
+        # part 2
+        (_, score) = max(winning_rounds, key=lambda w: w[0])
+        yield score

src/holt59/aoc/2021/day5.py

@@ -1,48 +1,48 @@
-import sys
+from typing import Any, Iterator
 
 import numpy as np
 
-lines: list[str] = sys.stdin.read().splitlines()
+from ..base import BaseSolver
 
-sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
-    (
-        (
-            int(line.split(" -> ")[0].split(",")[0]),
-            int(line.split(" -> ")[0].split(",")[1]),
-        ),
-        (
-            int(line.split(" -> ")[1].split(",")[0]),
-            int(line.split(" -> ")[1].split(",")[1]),
-        ),
-    )
-    for line in lines
-]
 
-np_sections = np.array(sections).reshape(-1, 4)
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
-x_min, x_max, y_min, y_max = (
-    min(np_sections[:, 0].min(), np_sections[:, 2].min()),
-    max(np_sections[:, 0].max(), np_sections[:, 2].max()),
-    min(np_sections[:, 1].min(), np_sections[:, 3].min()),
-    max(np_sections[:, 1].max(), np_sections[:, 3].max()),
-)
+        sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
+            (
+                (
+                    int(line.split(" -> ")[0].split(",")[0]),
+                    int(line.split(" -> ")[0].split(",")[1]),
+                ),
+                (
+                    int(line.split(" -> ")[1].split(",")[0]),
+                    int(line.split(" -> ")[1].split(",")[1]),
+                ),
+            )
+            for line in lines
+        ]
 
-counts_1 = np.zeros((y_max + 1, x_max + 1), dtype=int)
-counts_2 = counts_1.copy()
+        np_sections = np.array(sections).reshape(-1, 4)
 
-for (x1, y1), (x2, y2) in sections:
-    x_rng = range(x1, x2 + 1, 1) if x2 >= x1 else range(x1, x2 - 1, -1)
-    y_rng = range(y1, y2 + 1, 1) if y2 >= y1 else range(y1, y2 - 1, -1)
+        x_max, y_max = (
+            max(np_sections[:, 0].max(), np_sections[:, 2].max()),
+            max(np_sections[:, 1].max(), np_sections[:, 3].max()),
+        )
 
-    if x1 == x2 or y1 == y2:
-        counts_1[list(y_rng), list(x_rng)] += 1
-        counts_2[list(y_rng), list(x_rng)] += 1
-    elif abs(x2 - x1) == abs(y2 - y1):
-        for i, j in zip(y_rng, x_rng):
-            counts_2[i, j] += 1
+        counts_1 = np.zeros((y_max + 1, x_max + 1), dtype=int)
+        counts_2 = counts_1.copy()
 
-answer_1 = (counts_1 >= 2).sum()
-print(f"answer 1 is {answer_1}")
+        for (x1, y1), (x2, y2) in sections:
+            x_rng = range(x1, x2 + 1, 1) if x2 >= x1 else range(x1, x2 - 1, -1)
+            y_rng = range(y1, y2 + 1, 1) if y2 >= y1 else range(y1, y2 - 1, -1)
 
-answer_2 = (counts_2 >= 2).sum()
-print(f"answer 2 is {answer_2}")
+            if x1 == x2 or y1 == y2:
+                counts_1[list(y_rng), list(x_rng)] += 1
+                counts_2[list(y_rng), list(x_rng)] += 1
+            elif abs(x2 - x1) == abs(y2 - y1):
+                for i, j in zip(y_rng, x_rng):
+                    counts_2[i, j] += 1
+
+        yield (counts_1 >= 2).sum()
+        yield (counts_2 >= 2).sum()

src/holt59/aoc/2021/day6.py

@@ -1,21 +1,21 @@
-import sys
+from typing import Any, Iterator
 
-values = [int(c) for c in sys.stdin.read().strip().split(",")]
+from ..base import BaseSolver
 
-days = 256
-lanterns = {day: 0 for day in range(days)}
-for value in values:
-    for day in range(value, days, 7):
-        lanterns[day] += 1
 
-for day in range(days):
-    for day2 in range(day + 9, days, 7):
-        lanterns[day2] += lanterns[day]
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        values = [int(c) for c in input.split(",")]
 
-# part 1
-answer_1 = sum(v for k, v in lanterns.items() if k < 80) + len(values)
-print(f"answer 1 is {answer_1}")
+        days = 256
+        lanterns = {day: 0 for day in range(days)}
+        for value in values:
+            for day in range(value, days, 7):
+                lanterns[day] += 1
 
-# part 2
-answer_2 = sum(lanterns.values()) + len(values)
-print(f"answer 2 is {answer_2}")
+        for day in range(days):
+            for day2 in range(day + 9, days, 7):
+                lanterns[day2] += lanterns[day]
+
+        yield sum(v for k, v in lanterns.items() if k < 80) + len(values)
+        yield sum(lanterns.values()) + len(values)

src/holt59/aoc/2021/day7.py

@@ -1,19 +1,22 @@
-import sys
+from typing import Any, Iterator
 
-positions = [int(c) for c in sys.stdin.read().strip().split(",")]
+from ..base import BaseSolver
 
-min_position, max_position = min(positions), max(positions)
 
-# part 1
-answer_1 = min(
-    sum(abs(p - position) for p in positions)
-    for position in range(min_position, max_position + 1)
-)
-print(f"answer 1 is {answer_1}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        positions = [int(c) for c in input.split(",")]
 
-# part 2
-answer_2 = min(
-    sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions)
-    for position in range(min_position, max_position + 1)
-)
-print(f"answer 2 is {answer_2}")
+        min_position, max_position = min(positions), max(positions)
+
+        # part 1
+        yield min(
+            sum(abs(p - position) for p in positions)
+            for position in range(min_position, max_position + 1)
+        )
+
+        # part 2
+        yield min(
+            sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions)
+            for position in range(min_position, max_position + 1)
+        )

src/holt59/aoc/2021/day8.py

@@ -1,8 +1,7 @@
 import itertools
-import os
-import sys
+from typing import Any, Iterator
 
-VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+from ..base import BaseSolver
 
 digits = {
     "abcefg": 0,
@@ -17,71 +16,74 @@ digits = {
     "abcdfg": 9,
 }
 
-lines = sys.stdin.read().splitlines()
 
-# part 1
-lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)}
-answer_1 = sum(
-    len(p) in lengths for line in lines for p in line.split("|")[1].strip().split()
-)
-print(f"answer 1 is {answer_1}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
 
-# part 2
-values: list[int] = []
+        # part 1
+        lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)}
+        yield sum(
+            len(p) in lengths
+            for line in lines
+            for p in line.split("|")[1].strip().split()
+        )
 
-for line in lines:
-    parts = line.split("|")
-    broken_digits = sorted(parts[0].strip().split(), key=len)
+        # part 2
+        values: list[int] = []
 
-    per_length = {
-        k: list(v)
-        for k, v in itertools.groupby(sorted(broken_digits, key=len), key=len)
-    }
+        for line in lines:
+            parts = line.split("|")
+            broken_digits = sorted(parts[0].strip().split(), key=len)
 
-    # a can be found immediately
-    a = next(u for u in per_length[3][0] if u not in per_length[2][0])
+            per_length = {
+                k: list(v)
+                for k, v in itertools.groupby(sorted(broken_digits, key=len), key=len)
+            }
 
-    # c and f have only two possible values corresponding to the single entry of
-    # length 2
-    cf = list(per_length[2][0])
+            # a can be found immediately
+            a = next(u for u in per_length[3][0] if u not in per_length[2][0])
 
-    # the only digit of length 4 contains bcdf, so we can deduce bd by removing cf
-    bd = [u for u in per_length[4][0] if u not in cf]
+            # c and f have only two possible values corresponding to the single entry of
+            # length 2
+            cf = list(per_length[2][0])
 
-    # the 3 digits of length 5 have a, d and g in common
-    adg = [u for u in per_length[5][0] if all(u in pe for pe in per_length[5][1:])]
+            # the only digit of length 4 contains bcdf, so we can deduce bd by removing cf
+            bd = [u for u in per_length[4][0] if u not in cf]
 
-    # we can remove a
-    dg = [u for u in adg if u != a]
+            # the 3 digits of length 5 have a, d and g in common
+            adg = [
+                u for u in per_length[5][0] if all(u in pe for pe in per_length[5][1:])
+            ]
 
-    # we can deduce d and g
-    d = next(u for u in dg if u in bd)
-    g = next(u for u in dg if u != d)
+            # we can remove a
+            dg = [u for u in adg if u != a]
 
-    # then b
-    b = next(u for u in bd if u != d)
+            # we can deduce d and g
+            d = next(u for u in dg if u in bd)
+            g = next(u for u in dg if u != d)
 
-    # f is in the three 6-length digits, while c is only in 2
-    f = next(u for u in cf if all(u in p for p in per_length[6]))
+            # then b
+            b = next(u for u in bd if u != d)
 
-    # c is not f
-    c = next(u for u in cf if u != f)
+            # f is in the three 6-length digits, while c is only in 2
+            f = next(u for u in cf if all(u in p for p in per_length[6]))
 
-    # e is the last one
-    e = next(u for u in "abcdefg" if u not in {a, b, c, d, f, g})
+            # c is not f
+            c = next(u for u in cf if u != f)
 
-    mapping = dict(zip((a, b, c, d, e, f, g), "abcdefg"))
+            # e is the last one
+            e = next(u for u in "abcdefg" if u not in {a, b, c, d, f, g})
 
-    value = 0
-    for number in parts[1].strip().split():
-        digit = "".join(sorted(mapping[c] for c in number))
-        value = 10 * value + digits[digit]
+            mapping = dict(zip((a, b, c, d, e, f, g), "abcdefg"))
 
-    if VERBOSE:
-        print(value)
+            value = 0
+            for number in parts[1].strip().split():
+                digit = "".join(sorted(mapping[c] for c in number))
+                value = 10 * value + digits[digit]
 
-    values.append(value)
+            self.logger.info(f"value for '{line}' is {value}")
 
+            values.append(value)
 
-answer_2 = sum(values)
-print(f"answer 2 is {answer_2}")
+        yield sum(values)

src/holt59/aoc/2021/day9.py

@@ -1,18 +1,18 @@
-import sys
 from math import prod
+from typing import Any, Iterator
 
-values = [[int(c) for c in row] for row in sys.stdin.read().splitlines()]
-n_rows, n_cols = len(values), len(values[0])
+from ..base import BaseSolver
 
 
-def neighbors(point: tuple[int, int]):
+def neighbors(point: tuple[int, int], n_rows: int, n_cols: int):
     i, j = point
     for di, dj in ((-1, 0), (+1, 0), (0, -1), (0, +1)):
         if 0 <= i + di < n_rows and 0 <= j + dj < n_cols:
             yield (i + di, j + dj)
 
 
-def basin(start: tuple[int, int]) -> set[tuple[int, int]]:
+def basin(values: list[list[int]], start: tuple[int, int]) -> set[tuple[int, int]]:
+    n_rows, n_cols = len(values), len(values[0])
     visited: set[tuple[int, int]] = set()
     queue = [start]
 
@@ -23,22 +23,25 @@ def basin(start: tuple[int, int]) -> set[tuple[int, int]]:
             continue
 
         visited.add((i, j))
-        queue.extend(neighbors((i, j)))
+        queue.extend(neighbors((i, j), n_rows, n_cols))
 
     return visited
 
 
-low_points = [
-    (i, j)
-    for i in range(n_rows)
-    for j in range(n_cols)
-    if all(values[ti][tj] > values[i][j] for ti, tj in neighbors((i, j)))
-]
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        values = [[int(c) for c in row] for row in input.splitlines()]
+        n_rows, n_cols = len(values), len(values[0])
 
-# part 1
-answer_1 = sum(values[i][j] + 1 for i, j in low_points)
-print(f"answer 1 is {answer_1}")
+        low_points = [
+            (i, j)
+            for i in range(n_rows)
+            for j in range(n_cols)
+            if all(
+                values[ti][tj] > values[i][j]
+                for ti, tj in neighbors((i, j), n_rows, n_cols)
+            )
+        ]
 
-# part 2
-answer_2 = prod(sorted(len(basin(point)) for point in low_points)[-3:])
-print(f"answer 2 is {answer_2}")
+        yield sum(values[i][j] + 1 for i, j in low_points)
+        yield prod(sorted(len(basin(values, point)) for point in low_points)[-3:])

src/holt59/aoc/2022/day12.py

@@ -97,7 +97,12 @@ def neighbors(
 
 
 class Solver(BaseSolver):
-    def print_path(self, path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
+    def print_path(
+        self, name: str, path: list[tuple[int, int]], n_rows: int, n_cols: int
+    ) -> None:
+        if not self.files:
+            return
+
         end = path[-1]
 
         graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
@@ -118,8 +123,11 @@ class Solver(BaseSolver):
             else:
                 assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
 
-        for row in graph:
-            self.logger.info("".join(row))
+        self.files.create(
+            f"graph_{name}.txt",
+            "\n".join("".join(row) for row in graph).encode(),
+            text=True,
+        )
 
     def solve(self, input: str) -> Iterator[Any]:
         lines = input.splitlines()
@@ -157,7 +165,7 @@ class Solver(BaseSolver):
         path_1 = make_path(parents_1, start, end)
         assert path_1 is not None
 
-        self.print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
+        self.print_path("answer1", path_1, n_rows=len(grid), n_cols=len(grid[0]))
         yield lengths_1[end] - 1
 
         lengths_2, _ = dijkstra(

src/holt59/aoc/2022/day14.py

@@ -67,13 +67,16 @@ def flow(
 
 
 class Solver(BaseSolver):
-    def print_blocks(self, blocks: dict[tuple[int, int], Cell]):
+    def print_blocks(self, name: str, 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,
@@ -81,12 +84,16 @@ class Solver(BaseSolver):
             max(y for _, y in blocks),
         )
 
-        for y in range(y_min, y_max + 1):
-            self.logger.info(
+        self.files.create(
+            f"blocks_{name}.txt",
+            "\n".join(
                 "".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]:
         lines = [line.strip() for line in input.splitlines()]
@@ -115,7 +122,7 @@ class Solver(BaseSolver):
                     for y in range(y_start, y_end):
                         blocks[x, y] = Cell.ROCK
 
-        self.print_blocks(blocks)
+        self.print_blocks("start", blocks)
 
         y_max = max(y for _, y in blocks)
 
@@ -124,7 +131,7 @@ 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(blocks_1)
+        self.print_blocks("part1", blocks_1)
         yield sum(v == Cell.SAND for v in blocks_1.values())
 
         # === part 2 ===
@@ -135,5 +142,5 @@ 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(blocks_2)
+        self.print_blocks("part2", blocks_2)
         yield sum(v == Cell.SAND for v in blocks_2.values())

src/holt59/aoc/2022/day15.py

@@ -1,3 +1,4 @@
+import itertools as it
 from typing import Any, Iterator
 
 import numpy as np
@@ -20,9 +21,7 @@ class Solver(BaseSolver):
             no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1))  # type: ignore
 
         beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
-        no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(
-            beacons_at_row
-        )  # type: ignore
+        no_beacons_row = set(it.chain(*no_beacons_row_l)).difference(beacons_at_row)  # type: ignore
 
         return len(no_beacons_row)
 
@@ -92,5 +91,5 @@ class Solver(BaseSolver):
 
         # x, y, a2 = part2_cplex(sensor_to_beacon, xy_max)
         x, y, a2 = self.part2_intervals(sensor_to_beacon, xy_max)
-        self.logger.info("answer 2 is {at} (x={x}, y={y})")
+        self.logger.info(f"answer 2 is {a2} (x={x}, y={y})")
         yield a2

src/holt59/aoc/2022/day16.py

@@ -3,12 +3,9 @@ from __future__ import annotations
 import heapq
 import itertools
 import re
-import sys
 from collections import defaultdict
 from typing import Any, FrozenSet, Iterator, NamedTuple
 
-from tqdm import tqdm
-
 from ..base import BaseSolver
 
 
@@ -38,8 +35,8 @@ def breadth_first_search(pipes: dict[str, Pipe], pipe: Pipe) -> dict[Pipe, int]:
     Runs a BFS from the given pipe and return the shortest distance (in term of hops)
     to all other pipes.
     """
-    queue = [(0, pipe_1)]
-    visited = set()
+    queue = [(0, pipe)]
+    visited: set[Pipe] = set()
     distances: dict[Pipe, int] = {}
 
     while len(distances) < len(pipes):
@@ -63,98 +60,100 @@ def update_with_better(
     node_at_times[flowing] = max(node_at_times[flowing], flow)
 
 
-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))
-    )
-    node_at_times[0] = {start_pipe: {frozenset(): 0}}
-
-    for time in range(max_time):
-        for c_pipe, nodes in node_at_times[time].items():
-            for flowing, flow in nodes.items():
-                for target in relevant_pipes:
-                    distance = distances[c_pipe, target] + 1
-                    if time + distance >= max_time or target in flowing:
-                        continue
-
-                    update_with_better(
-                        node_at_times[time + distance][target],
-                        flow + sum(pipe.flow for pipe in flowing) * distance,
-                        flowing | {target},
-                    )
-
-                update_with_better(
-                    node_at_times[max_time][c_pipe],
-                    flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
-                    flowing,
-                )
-
-    return max(
-        flow
-        for nodes_of_pipe in node_at_times[max_time].values()
-        for flow in nodes_of_pipe.values()
-    )
-
-
-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 part_1(start_pipe, max_time, distances, pipes_for_me) + part_1(
-            start_pipe, max_time, distances, relevant_pipes - pipes_for_me
-        )
-
-    combs = [
-        frozenset(relevant_pipes_1)
-        for r in range(2, len(relevant_pipes) // 2 + 1)
-        for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
-    ]
-
-    return max(compute(comb) for comb in tqdm(combs))
-
-
 # === MAIN ===
 
 
-lines = sys.stdin.read().splitlines()
+class Solver(BaseSolver):
+    def part_1(
+        self,
+        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))
+        )
+        node_at_times[0] = {start_pipe: {frozenset(): 0}}
 
+        for time in range(max_time):
+            for c_pipe, nodes in node_at_times[time].items():
+                for flowing, flow in nodes.items():
+                    for target in relevant_pipes:
+                        distance = distances[c_pipe, target] + 1
+                        if time + distance >= max_time or target in flowing:
+                            continue
 
-pipes: dict[str, Pipe] = {}
-for line in lines:
-    r = re.match(
-        R"Valve ([A-Z]+) has flow rate=([0-9]+); tunnels? leads? to valves? (.+)",
-        line,
-    )
-    assert r
+                        update_with_better(
+                            node_at_times[time + distance][target],
+                            flow + sum(pipe.flow for pipe in flowing) * distance,
+                            flowing | {target},
+                        )
 
-    g = r.groups()
+                    update_with_better(
+                        node_at_times[max_time][c_pipe],
+                        flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
+                        flowing,
+                    )
 
-    pipes[g[0]] = Pipe(g[0], int(g[1]), g[2].split(", "))
+        return max(
+            flow
+            for nodes_of_pipe in node_at_times[max_time].values()
+            for flow in nodes_of_pipe.values()
+        )
 
-# compute distances from one valve to any other
-distances: dict[tuple[Pipe, Pipe], int] = {}
-for pipe_1 in pipes.values():
-    distances.update(
-        {
-            (pipe_1, pipe_2): distance
-            for pipe_2, distance in breadth_first_search(pipes, pipe_1).items()
-        }
-    )
+    def part_2(
+        self,
+        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(
+                start_pipe, max_time, distances, relevant_pipes - pipes_for_me
+            )
 
-# valves with flow
-relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
+        combs = [
+            frozenset(relevant_pipes_1)
+            for r in range(2, len(relevant_pipes) // 2 + 1)
+            for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
+        ]
 
+        return max(compute(comb) for comb in self.progress.wrap(combs))
 
-# 1651, 1653
-print(part_1(pipes["AA"], 30, distances, relevant_pipes))
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = [line.strip() for line in input.splitlines()]
 
-# 1707, 2223
-print(part_2(pipes["AA"], 26, distances, relevant_pipes))
+        pipes: dict[str, Pipe] = {}
+        for line in lines:
+            r = re.match(
+                R"Valve ([A-Z]+) has flow rate=([0-9]+); tunnels? leads? to valves? (.+)",
+                line,
+            )
+            assert r
+
+            g = r.groups()
+
+            pipes[g[0]] = Pipe(g[0], int(g[1]), g[2].split(", "))
+
+        # compute distances from one valve to any other
+        distances: dict[tuple[Pipe, Pipe], int] = {}
+        for pipe_1 in pipes.values():
+            distances.update(
+                {
+                    (pipe_1, pipe_2): distance
+                    for pipe_2, distance in breadth_first_search(pipes, pipe_1).items()
+                }
+            )
+
+        # valves with flow
+        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)
+
+        # 1707, 2223
+        yield self.part_2(pipes["AA"], 26, distances, relevant_pipes)

src/holt59/aoc/2022/day17.py

@@ -1,25 +1,16 @@
-import sys
-from typing import Any, Iterator, Sequence, TypeVar
+from typing import Any, Iterator, Sequence, TypeAlias, TypeVar
 
 import numpy as np
+from numpy.typing import NDArray
 
 from ..base import BaseSolver
 
 T = TypeVar("T")
 
-
-def print_tower(tower: np.ndarray, 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] + "+")
+Tower: TypeAlias = NDArray[np.bool]
 
 
-def tower_height(tower: np.ndarray) -> int:
+def tower_height(tower: Tower) -> int:
     return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
 
 
@@ -47,8 +38,8 @@ def build_tower(
     n_rocks: int,
     jets: str,
     early_stop: bool = False,
-    init: np.ndarray = np.ones(WIDTH, dtype=bool),
-) -> tuple[np.ndarray, int, int, dict[int, int]]:
+    init: Tower = np.ones(WIDTH, dtype=bool),
+) -> tuple[Tower, int, int, dict[int, int]]:
     tower = EMPTY_BLOCKS.copy()
     tower[0, :] = init
 
@@ -97,26 +88,24 @@ def build_tower(
     return tower, rock_count, done_at.get((i_rock, i_jet), -1), heights
 
 
-line = sys.stdin.read().strip()
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        tower, *_ = build_tower(2022, input)
+        yield tower_height(tower)
 
-tower, *_ = build_tower(2022, line)
-answer_1 = tower_height(tower)
-print(f"answer 1 is {answer_1}")
+        TOTAL_ROCKS = 1_000_000_000_000
+        _tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, input, True)
+        assert prev_1 > 0
 
-TOTAL_ROCKS = 1_000_000_000_000
-tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, line, True)
-assert prev_1 > 0
+        # 2767 1513
+        remaining_rocks = TOTAL_ROCKS - n_rocks_1
+        n_repeat_rocks = n_rocks_1 - prev_1
+        n_repeat_towers = remaining_rocks // n_repeat_rocks
 
-# 2767 1513
-remaining_rocks = TOTAL_ROCKS - n_rocks_1
-n_repeat_rocks = n_rocks_1 - prev_1
-n_repeat_towers = remaining_rocks // n_repeat_rocks
+        base_height = heights_1[prev_1]
+        repeat_height = heights_1[prev_1 + n_repeat_rocks - 1] - heights_1[prev_1]
+        remaining_height = (
+            heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1]
+        )
 
-base_height = heights_1[prev_1]
-repeat_height = heights_1[prev_1 + n_repeat_rocks - 1] - heights_1[prev_1]
-remaining_height = (
-    heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1]
-)
-
-answer_2 = base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
-print(f"answer 2 is {answer_2}")
+        yield base_height + (n_repeat_towers + 1) * repeat_height + remaining_height

src/holt59/aoc/2022/day18.py

@@ -1,53 +1,58 @@
-import sys
 from typing import Any, Iterator
 
 import numpy as np
 
 from ..base import BaseSolver
 
-xyz = np.asarray(
-    [
-        tuple(int(x) for x in row.split(","))  # type: ignore
-        for row in sys.stdin.read().splitlines()
-    ]
-)
 
-xyz = xyz - xyz.min(axis=0) + 1
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        xyz = np.asarray(
+            [
+                tuple(int(x) for x in row.split(","))  # type: ignore
+                for row in input.splitlines()
+            ]
+        )
 
-cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool)
-cubes[xyz[:, 0], xyz[:, 1], xyz[:, 2]] = True
+        xyz = xyz - xyz.min(axis=0) + 1
 
-n_dims = len(cubes.shape)
+        cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool)
+        cubes[xyz[:, 0], xyz[:, 1], xyz[:, 2]] = True
 
-faces = [(-1, 0, 0), (1, 0, 0), (0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)]
+        faces = [(-1, 0, 0), (1, 0, 0), (0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)]
 
-answer_1 = sum(
-    1 for x, y, z in xyz for dx, dy, dz in faces if not cubes[x + dx, y + dy, z + dz]
-)
-print(f"answer 1 is {answer_1}")
+        yield sum(
+            1
+            for x, y, z in xyz
+            for dx, dy, dz in faces
+            if not cubes[x + dx, y + dy, z + dz]
+        )
 
-visited = np.zeros_like(cubes, dtype=bool)
-queue = [(0, 0, 0)]
+        visited = np.zeros_like(cubes, dtype=bool)
+        queue = [(0, 0, 0)]
 
-n_faces = 0
-while queue:
-    x, y, z = queue.pop(0)
+        n_faces = 0
+        while queue:
+            x, y, z = queue.pop(0)
 
-    if visited[x, y, z]:
-        continue
+            if visited[x, y, z]:
+                continue
 
-    visited[x, y, z] = True
+            visited[x, y, z] = True
 
-    for dx, dy, dz in faces:
-        nx, ny, nz = x + dx, y + dy, z + dz
-        if not all(n >= 0 and n < cubes.shape[i] for i, n in enumerate((nx, ny, nz))):
-            continue
+            for dx, dy, dz in faces:
+                nx, ny, nz = x + dx, y + dy, z + dz
+                if not all(
+                    n >= 0 and n < cubes.shape[i] for i, n in enumerate((nx, ny, nz))
+                ):
+                    continue
 
-        if visited[nx, ny, nz]:
-            continue
+                if visited[nx, ny, nz]:
+                    continue
 
-        if cubes[nx, ny, nz]:
-            n_faces += 1
-        else:
-            queue.append((nx, ny, nz))
-print(f"answer 2 is {n_faces}")
+                if cubes[nx, ny, nz]:
+                    n_faces += 1
+                else:
+                    queue.append((nx, ny, nz))
+
+        yield n_faces

src/holt59/aoc/2022/day19.py

@@ -1,4 +1,3 @@
-import sys
 from typing import Any, Iterator, Literal
 
 import numpy as np
@@ -64,29 +63,6 @@ def dominates(lhs: State, rhs: State):
     )
 
 
-lines = sys.stdin.read().splitlines()
-
-blueprints: list[dict[Reagent, IntOfReagent]] = []
-for line in lines:
-    r: list[int] = parse.parse(  # type: ignore
-        "Blueprint {}: "
-        "Each ore robot costs {:d} ore. "
-        "Each clay robot costs {:d} ore. "
-        "Each obsidian robot costs {:d} ore and {:d} clay. "
-        "Each geode robot costs {:d} ore and {:d} obsidian.",
-        line,
-    )
-
-    blueprints.append(
-        {
-            "ore": {"ore": r[1]},
-            "clay": {"ore": r[2]},
-            "obsidian": {"ore": r[3], "clay": r[4]},
-            "geode": {"ore": r[5], "obsidian": r[6]},
-        }
-    )
-
-
 def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
     # since we can only build one robot per time, we do not need more than X robots
     # of type K where X is the maximum number of K required among all robots, e.g.,
@@ -175,11 +151,31 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
     return max(state.reagents["geode"] for state in state_after_t[max_time])
 
 
-answer_1 = sum(
-    (i_blueprint + 1) * run(blueprint, 24)
-    for i_blueprint, blueprint in enumerate(blueprints)
-)
-print(f"answer 1 is {answer_1}")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        blueprints: list[dict[Reagent, IntOfReagent]] = []
+        for line in input.splitlines():
+            r: list[int] = parse.parse(  # type: ignore
+                "Blueprint {}: "
+                "Each ore robot costs {:d} ore. "
+                "Each clay robot costs {:d} ore. "
+                "Each obsidian robot costs {:d} ore and {:d} clay. "
+                "Each geode robot costs {:d} ore and {:d} obsidian.",
+                line,
+            )
 
-answer_2 = run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32)
-print(f"answer 2 is {answer_2}")
+            blueprints.append(
+                {
+                    "ore": {"ore": r[1]},
+                    "clay": {"ore": r[2]},
+                    "obsidian": {"ore": r[3], "clay": r[4]},
+                    "geode": {"ore": r[5], "obsidian": r[6]},
+                }
+            )
+
+        yield sum(
+            (i_blueprint + 1) * run(blueprint, 24)
+            for i_blueprint, blueprint in enumerate(blueprints)
+        )
+
+        yield (run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32))

src/holt59/aoc/2022/day20.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import sys
 from typing import Any, Iterator
 
 from ..base import BaseSolver
@@ -68,10 +67,9 @@ def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
     )
 
 
-numbers = [Number(int(x)) for i, x in enumerate(sys.stdin.readlines())]
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        numbers = [Number(int(x)) for x in input.splitlines()]
 
-answer_1 = decrypt(numbers, 1, 1)
-print(f"answer 1 is {answer_1}")
-
-answer_2 = decrypt(numbers, 811589153, 10)
-print(f"answer 2 is {answer_2}")
+        yield decrypt(numbers, 1, 1)
+        yield decrypt(numbers, 811589153, 10)

src/holt59/aoc/2022/day21.py

@@ -1,5 +1,4 @@
 import operator
-import sys
 from typing import Any, Callable, Iterator
 
 from ..base import BaseSolver
@@ -79,31 +78,31 @@ def invert(
     return monkeys
 
 
-lines = sys.stdin.read().splitlines()
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = [line.strip() for line in input.splitlines()]
 
-monkeys: dict[str, int | tuple[str, str, str]] = {}
+        monkeys: dict[str, int | tuple[str, str, str]] = {}
 
-op_monkeys: set[str] = set()
+        op_monkeys: set[str] = set()
 
-for line in lines:
-    parts = line.split(":")
-    name = parts[0].strip()
+        for line in lines:
+            parts = line.split(":")
+            name = parts[0].strip()
 
-    try:
-        value = int(parts[1].strip())
-        monkeys[name] = value
-    except ValueError:
-        op1, ope, op2 = parts[1].strip().split()
-        monkeys[name] = (op1, ope, op2)
+            try:
+                value = int(parts[1].strip())
+                monkeys[name] = value
+            except ValueError:
+                op1, ope, op2 = parts[1].strip().split()
+                monkeys[name] = (op1, ope, op2)
 
-        op_monkeys.add(name)
+                op_monkeys.add(name)
 
+        yield compute(monkeys.copy(), "root")
 
-answer_1 = compute(monkeys.copy(), "root")
-print(f"answer 1 is {answer_1}")
-
-# assume the second operand of 'root' can be computed, and the first one depends on
-# humn, which is the case is my input and the test input
-p1, _, p2 = monkeys["root"]  # type: ignore
-answer_2 = compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
-print(f"answer 2 is {answer_2}")
+        # assume the second operand of 'root' can be computed, and the first one depends on
+        # humn, which is the case is my input and the test input
+        assert isinstance(monkeys["root"], tuple)
+        p1, _, p2 = monkeys["root"]  # type: ignore
+        yield compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")

src/holt59/aoc/2022/day22.py

@@ -1,5 +1,4 @@
 import re
-import sys
 from typing import Any, Callable, Iterator
 
 import numpy as np
@@ -12,214 +11,233 @@ TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
 SCORES = {"E": 0, "S": 1, "W": 2, "N": 3}
 
 
-board_map_s, direction_s = sys.stdin.read().split("\n\n")
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        board_map_s, direction_s = input.split("\n\n")
 
-# board
-board_lines = board_map_s.splitlines()
-max_line = max(len(line) for line in board_lines)
-board = np.array(
-    [
-        [TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
-        for row in board_map_s.splitlines()
-    ]
-)
+        # board
+        board_lines = board_map_s.splitlines()
+        max_line = max(len(line) for line in board_lines)
+        board = np.array(
+            [
+                [TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
+                for row in board_map_s.splitlines()
+            ]
+        )
 
-directions = [
-    int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
-]
+        directions = [
+            int(p1) if p2 else p1
+            for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
+        ]
 
+        # find on each row and column the first and last non-void
+        row_first_non_void = np.argmax(board != VOID, axis=1)
+        row_last_non_void = (
+            board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
+        )
+        col_first_non_void = np.argmax(board != VOID, axis=0)
+        col_last_non_void = (
+            board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
+        )
 
-# find on each row and column the first and last non-void
-row_first_non_void = np.argmax(board != VOID, axis=1)
-row_last_non_void = board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
-col_first_non_void = np.argmax(board != VOID, axis=0)
-col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
+        faces = np.zeros_like(board)
+        size = np.gcd(board.shape[0], board.shape[1])
+        for row in range(0, board.shape[0], size):
+            for col in range(row_first_non_void[row], row_last_non_void[row], size):
+                faces[row : row + size, col : col + size] = faces.max() + 1
 
+        SIZE = np.gcd(*board.shape)
 
-faces = np.zeros_like(board)
-size = np.gcd(board.shape[0], board.shape[1])
-for row in range(0, board.shape[0], size):
-    for col in range(row_first_non_void[row], row_last_non_void[row], size):
-        faces[row : row + size, col : col + size] = faces.max() + 1
+        # TODO: deduce this from the actual cube...
+        faces_wrap: dict[int, dict[str, Callable[[int, int], tuple[int, int, str]]]]
 
-SIZE = np.gcd(*board.shape)
+        if board.shape == (12, 16):  # example
+            faces_wrap = {
+                1: {
+                    "W": lambda y, x: (4, 4 + y, "S"),  # 3N
+                    "N": lambda y, x: (4, 11 - x, "S"),  # 2N
+                    "E": lambda y, x: (11 - y, 15, "W"),  # 6E
+                },
+                2: {
+                    "W": lambda y, x: (11, 19 - y, "N"),  # 6S
+                    "N": lambda y, x: (0, 11 - y, "S"),  # 1N
+                    "S": lambda y, x: (11, 11 - x, "N"),  # 5S
+                },
+                3: {
+                    "N": lambda y, x: (x - 4, 8, "E"),  # 1W
+                    "S": lambda y, x: (15 - x, 8, "E"),  # 5W
+                },
+                4: {"E": lambda y, x: (8, 19 - y, "S")},  # 6N
+                5: {
+                    "W": lambda y, x: (7, 15 - y, "N"),  # 3S
+                    "S": lambda y, x: (7, 11 - x, "N"),  # 2S
+                },
+                6: {
+                    "N": lambda y, x: (19 - x, 11, "W"),  # 4E
+                    "E": lambda y, x: (11 - y, 11, "W"),  # 1E
+                    "S": lambda y, x: (19 - x, 0, "E"),  # 2W
+                },
+            }
 
-# TODO: deduce this from the actual cube...
-faces_wrap: dict[int, dict[str, Callable[[int, int], tuple[int, int, str]]]]
-
-if board.shape == (12, 16):  # example
-    faces_wrap = {
-        1: {
-            "W": lambda y, x: (4, 4 + y, "S"),  # 3N
-            "N": lambda y, x: (4, 11 - x, "S"),  # 2N
-            "E": lambda y, x: (11 - y, 15, "W"),  # 6E
-        },
-        2: {
-            "W": lambda y, x: (11, 19 - y, "N"),  # 6S
-            "N": lambda y, x: (0, 11 - y, "S"),  # 1N
-            "S": lambda y, x: (11, 11 - x, "N"),  # 5S
-        },
-        3: {
-            "N": lambda y, x: (x - 4, 8, "E"),  # 1W
-            "S": lambda y, x: (15 - x, 8, "E"),  # 5W
-        },
-        4: {"E": lambda y, x: (8, 19 - y, "S")},  # 6N
-        5: {
-            "W": lambda y, x: (7, 15 - y, "N"),  # 3S
-            "S": lambda y, x: (7, 11 - x, "N"),  # 2S
-        },
-        6: {
-            "N": lambda y, x: (19 - x, 11, "W"),  # 4E
-            "E": lambda y, x: (11 - y, 11, "W"),  # 1E
-            "S": lambda y, x: (19 - x, 0, "E"),  # 2W
-        },
-    }
-
-else:
-    faces_wrap = {
-        1: {
-            "W": lambda y, x: (3 * SIZE - y - 1, 0, "E"),  # 4W
-            "N": lambda y, x: (2 * SIZE + x, 0, "E"),  # 6W
-        },
-        2: {
-            "N": lambda y, x: (4 * SIZE - 1, x - 2 * SIZE, "N"),  # 6S
-            "E": lambda y, x: (3 * SIZE - y - 1, 2 * SIZE - 1, "W"),  # 5E
-            "S": lambda y, x: (x - SIZE, 2 * SIZE - 1, "W"),  # 3E
-        },
-        3: {
-            "W": lambda y, x: (2 * SIZE, y - SIZE, "S"),  # 4N
-            "E": lambda y, x: (SIZE - 1, SIZE + y, "N"),  # 2S
-        },
-        4: {
-            "W": lambda y, x: (3 * SIZE - y - 1, SIZE, "E"),  # 1W
-            "N": lambda y, x: (SIZE + x, SIZE, "E"),  # 3W
-        },
-        5: {
-            "E": lambda y, x: (3 * SIZE - y - 1, 3 * SIZE - 1, "W"),  # 2E
-            "S": lambda y, x: (2 * SIZE + x, SIZE - 1, "W"),  # 6E
-        },
-        6: {
-            "W": lambda y, x: (0, y - 2 * SIZE, "S"),  # 1N
-            "E": lambda y, x: (3 * SIZE - 1, y - 2 * SIZE, "N"),  # 5S
-            "S": lambda y, x: (0, x + 2 * SIZE, "S"),  # 2N
-        },
-    }
-
-
-def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
-    if r0 == "E":
-        return y0, row_first_non_void[y0], r0
-    elif r0 == "S":
-        return col_first_non_void[x0], x0, r0
-    elif r0 == "W":
-        return y0, row_last_non_void[y0], r0
-    elif r0 == "N":
-        return col_last_non_void[x0], x0, r0
-
-    assert False
-
-
-def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
-    cube = faces[y0, x0]
-    assert r0 in faces_wrap[cube]
-    return faces_wrap[cube][r0](y0, x0)
-
-
-def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int, str]:
-    y0 = 0
-    x0 = np.where(board[0] == EMPTY)[0][0]
-    r0 = "E"
-
-    for direction in directions:
-        if isinstance(direction, int):
-            while direction > 0:
-                if r0 == "E":
-                    xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0]
-                    if len(xi):
-                        x0 = x0 + xi[0]
-                        direction = 0
-                    elif (
-                        x0 + direction < board.shape[1]
-                        and board[y0, x0 + direction] == EMPTY
-                    ):
-                        x0 = x0 + direction
-                        direction = 0
-                    else:
-                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
-                        if board[y0_t, x0_t] == WALL:
-                            x0 = row_last_non_void[y0]
-                            direction = 0
-                        else:
-                            direction = direction - (row_last_non_void[y0] - x0) - 1
-                            y0, x0, r0 = y0_t, x0_t, r0_t
-                elif r0 == "S":
-                    yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0]
-                    if len(yi):
-                        y0 = y0 + yi[0]
-                        direction = 0
-                    elif (
-                        y0 + direction < board.shape[0]
-                        and board[y0 + direction, x0] == EMPTY
-                    ):
-                        y0 = y0 + direction
-                        direction = 0
-                    else:
-                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
-                        if board[y0_t, x0_t] == WALL:
-                            y0 = col_last_non_void[x0]
-                            direction = 0
-                        else:
-                            direction = direction - (col_last_non_void[x0] - y0) - 1
-                            y0, x0, r0 = y0_t, x0_t, r0_t
-                elif r0 == "W":
-                    left = max(x0 - direction - 1, 0)
-                    xi = np.where(board[y0, left:x0] == WALL)[0]
-                    if len(xi):
-                        x0 = left + xi[-1] + 1
-                        direction = 0
-                    elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY:
-                        x0 = x0 - direction
-                        direction = 0
-                    else:
-                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
-                        if board[y0_t, x0_t] == WALL:
-                            x0 = row_first_non_void[y0]
-                            direction = 0
-                        else:
-                            direction = direction - (x0 - row_first_non_void[y0]) - 1
-                            y0, x0, r0 = y0_t, x0_t, r0_t
-                elif r0 == "N":
-                    top = max(y0 - direction - 1, 0)
-                    yi = np.where(board[top:y0, x0] == WALL)[0]
-                    if len(yi):
-                        y0 = top + yi[-1] + 1
-                        direction = 0
-                    elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY:
-                        y0 = y0 - direction
-                        direction = 0
-                    else:
-                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
-                        if board[y0_t, x0_t] == WALL:
-                            y0 = col_first_non_void[x0]
-                            direction = 0
-                        else:
-                            direction = direction - (y0 - col_first_non_void[x0]) - 1
-                            y0, x0, r0 = y0_t, x0_t, r0_t
         else:
-            r0 = {
-                "E": {"L": "N", "R": "S"},
-                "N": {"L": "W", "R": "E"},
-                "W": {"L": "S", "R": "N"},
-                "S": {"L": "E", "R": "W"},
-            }[r0][direction]
+            faces_wrap = {
+                1: {
+                    "W": lambda y, x: (3 * SIZE - y - 1, 0, "E"),  # 4W
+                    "N": lambda y, x: (2 * SIZE + x, 0, "E"),  # 6W
+                },
+                2: {
+                    "N": lambda y, x: (4 * SIZE - 1, x - 2 * SIZE, "N"),  # 6S
+                    "E": lambda y, x: (3 * SIZE - y - 1, 2 * SIZE - 1, "W"),  # 5E
+                    "S": lambda y, x: (x - SIZE, 2 * SIZE - 1, "W"),  # 3E
+                },
+                3: {
+                    "W": lambda y, x: (2 * SIZE, y - SIZE, "S"),  # 4N
+                    "E": lambda y, x: (SIZE - 1, SIZE + y, "N"),  # 2S
+                },
+                4: {
+                    "W": lambda y, x: (3 * SIZE - y - 1, SIZE, "E"),  # 1W
+                    "N": lambda y, x: (SIZE + x, SIZE, "E"),  # 3W
+                },
+                5: {
+                    "E": lambda y, x: (3 * SIZE - y - 1, 3 * SIZE - 1, "W"),  # 2E
+                    "S": lambda y, x: (2 * SIZE + x, SIZE - 1, "W"),  # 6E
+                },
+                6: {
+                    "W": lambda y, x: (0, y - 2 * SIZE, "S"),  # 1N
+                    "E": lambda y, x: (3 * SIZE - 1, y - 2 * SIZE, "N"),  # 5S
+                    "S": lambda y, x: (0, x + 2 * SIZE, "S"),  # 2N
+                },
+            }
 
-    return y0, x0, r0
+        def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+            if r0 == "E":
+                return y0, row_first_non_void[y0], r0
+            elif r0 == "S":
+                return col_first_non_void[x0], x0, r0
+            elif r0 == "W":
+                return y0, row_last_non_void[y0], r0
+            elif r0 == "N":
+                return col_last_non_void[x0], x0, r0
 
+            assert False
 
-y1, x1, r1 = run(wrap_part_1)
-answer_1 = 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
-print(f"answer 1 is {answer_1}")
+        def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+            cube = faces[y0, x0]
+            assert r0 in faces_wrap[cube]
+            return faces_wrap[cube][r0](y0, x0)
 
-y2, x2, r2 = run(wrap_part_2)
-answer_2 = 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]
-print(f"answer 2 is {answer_2}")
+        def run(
+            wrap: Callable[[int, int, str], tuple[int, int, str]],
+        ) -> tuple[int, int, str]:
+            y0 = 0
+            x0 = np.where(board[0] == EMPTY)[0][0]
+            r0 = "E"
+
+            for direction in directions:
+                if isinstance(direction, int):
+                    while direction > 0:
+                        if r0 == "E":
+                            xi = np.where(
+                                board[y0, x0 + 1 : x0 + direction + 1] == WALL
+                            )[0]
+                            if len(xi):
+                                x0 = x0 + xi[0]
+                                direction = 0
+                            elif (
+                                x0 + direction < board.shape[1]
+                                and board[y0, x0 + direction] == EMPTY
+                            ):
+                                x0 = x0 + direction
+                                direction = 0
+                            else:
+                                y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                                if board[y0_t, x0_t] == WALL:
+                                    x0 = row_last_non_void[y0]
+                                    direction = 0
+                                else:
+                                    direction = (
+                                        direction - (row_last_non_void[y0] - x0) - 1
+                                    )
+                                    y0, x0, r0 = y0_t, x0_t, r0_t
+                        elif r0 == "S":
+                            yi = np.where(
+                                board[y0 + 1 : y0 + direction + 1, x0] == WALL
+                            )[0]
+                            if len(yi):
+                                y0 = y0 + yi[0]
+                                direction = 0
+                            elif (
+                                y0 + direction < board.shape[0]
+                                and board[y0 + direction, x0] == EMPTY
+                            ):
+                                y0 = y0 + direction
+                                direction = 0
+                            else:
+                                y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                                if board[y0_t, x0_t] == WALL:
+                                    y0 = col_last_non_void[x0]
+                                    direction = 0
+                                else:
+                                    direction = (
+                                        direction - (col_last_non_void[x0] - y0) - 1
+                                    )
+                                    y0, x0, r0 = y0_t, x0_t, r0_t
+                        elif r0 == "W":
+                            left = max(x0 - direction - 1, 0)
+                            xi = np.where(board[y0, left:x0] == WALL)[0]
+                            if len(xi):
+                                x0 = left + xi[-1] + 1
+                                direction = 0
+                            elif (
+                                x0 - direction >= 0
+                                and board[y0, x0 - direction] == EMPTY
+                            ):
+                                x0 = x0 - direction
+                                direction = 0
+                            else:
+                                y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                                if board[y0_t, x0_t] == WALL:
+                                    x0 = row_first_non_void[y0]
+                                    direction = 0
+                                else:
+                                    direction = (
+                                        direction - (x0 - row_first_non_void[y0]) - 1
+                                    )
+                                    y0, x0, r0 = y0_t, x0_t, r0_t
+                        elif r0 == "N":
+                            top = max(y0 - direction - 1, 0)
+                            yi = np.where(board[top:y0, x0] == WALL)[0]
+                            if len(yi):
+                                y0 = top + yi[-1] + 1
+                                direction = 0
+                            elif (
+                                y0 - direction >= 0
+                                and board[y0 - direction, x0] == EMPTY
+                            ):
+                                y0 = y0 - direction
+                                direction = 0
+                            else:
+                                y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                                if board[y0_t, x0_t] == WALL:
+                                    y0 = col_first_non_void[x0]
+                                    direction = 0
+                                else:
+                                    direction = (
+                                        direction - (y0 - col_first_non_void[x0]) - 1
+                                    )
+                                    y0, x0, r0 = y0_t, x0_t, r0_t
+                else:
+                    r0 = {
+                        "E": {"L": "N", "R": "S"},
+                        "N": {"L": "W", "R": "E"},
+                        "W": {"L": "S", "R": "N"},
+                        "S": {"L": "E", "R": "W"},
+                    }[r0][direction]
+
+            return y0, x0, r0
+
+        y1, x1, r1 = run(wrap_part_1)
+        yield 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
+
+        y2, x2, r2 = run(wrap_part_2)
+        yield 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]

src/holt59/aoc/2022/day23.py

@@ -1,5 +1,4 @@
 import itertools
-import sys
 from collections import defaultdict
 from typing import Any, Iterator
 
@@ -21,22 +20,10 @@ DIRECTIONS: Directions = [
 
 
 def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]:
-    ys, xs = {y for y, x in positions}, {x for y, x in positions}
+    ys, xs = {y for y, _x in positions}, {x for _y, x in positions}
     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,
@@ -72,35 +59,38 @@ def round(
     directions.append(directions.pop(0))
 
 
-POSITIONS = {
-    (i, j)
-    for i, row in enumerate(sys.stdin.read().splitlines())
-    for j, col in enumerate(row)
-    if col == "#"
-}
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        POSITIONS = {
+            (i, j)
+            for i, row in enumerate(input.splitlines())
+            for j, col in enumerate(row)
+            if col == "#"
+        }
 
-# === part 1 ===
+        # === part 1 ===
 
-p1, d1 = POSITIONS.copy(), DIRECTIONS.copy()
-for r in range(10):
-    round(p1, d1)
+        p1, d1 = POSITIONS.copy(), DIRECTIONS.copy()
+        for _ in range(10):
+            round(p1, d1)
 
-min_y, min_x, max_y, max_x = min_max_yx(p1)
-answer_1 = sum(
-    (y, x) not in p1 for y in range(min_y, max_y + 1) for x in range(min_x, max_x + 1)
-)
-print(f"answer 1 is {answer_1}")
+        min_y, min_x, max_y, max_x = min_max_yx(p1)
+        yield sum(
+            (y, x) not in p1
+            for y in range(min_y, max_y + 1)
+            for x in range(min_x, max_x + 1)
+        )
 
-# === part 2 ===
+        # === part 2 ===
 
-p2, d2 = POSITIONS.copy(), DIRECTIONS.copy()
-answer_2 = 0
-while True:
-    answer_2 += 1
-    backup = p2.copy()
-    round(p2, d2)
+        p2, d2 = POSITIONS.copy(), DIRECTIONS.copy()
+        answer_2 = 0
+        while True:
+            answer_2 += 1
+            backup = p2.copy()
+            round(p2, d2)
 
-    if backup == p2:
-        break
+            if backup == p2:
+                break
 
-print(f"answer 2 is {answer_2}")
+        yield answer_2

src/holt59/aoc/2022/day24.py

@@ -1,101 +1,117 @@
 import heapq
 import math
-import sys
 from collections import defaultdict
 from typing import Any, Iterator
 
 from ..base import BaseSolver
 
-lines = sys.stdin.read().splitlines()
 
-winds = {
-    (i - 1, j - 1, lines[i][j])
-    for i in range(1, len(lines) - 1)
-    for j in range(1, len(lines[i]) - 1)
-    if lines[i][j] != "."
-}
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = [line.strip() for line in input.splitlines()]
 
-n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2
-CYCLE = math.lcm(n_rows, n_cols)
+        winds = {
+            (i - 1, j - 1, lines[i][j])
+            for i in range(1, len(lines) - 1)
+            for j in range(1, len(lines[i]) - 1)
+            if lines[i][j] != "."
+        }
 
-east_winds = [{j for j in range(n_cols) if (i, j, ">") in winds} for i in range(n_rows)]
-west_winds = [{j for j in range(n_cols) if (i, j, "<") in winds} for i in range(n_rows)]
-north_winds = [
-    {i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols)
-]
-south_winds = [
-    {i for i in range(n_rows) if (i, j, "v") in winds} for j in range(n_cols)
-]
+        n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2
+        CYCLE = math.lcm(n_rows, n_cols)
 
+        east_winds = [
+            {j for j in range(n_cols) if (i, j, ">") in winds} for i in range(n_rows)
+        ]
+        west_winds = [
+            {j for j in range(n_cols) if (i, j, "<") in winds} for i in range(n_rows)
+        ]
+        north_winds = [
+            {i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols)
+        ]
+        south_winds = [
+            {i for i in range(n_rows) if (i, j, "v") in winds} for j in range(n_cols)
+        ]
 
-def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
-    def heuristic(y: int, x: int) -> int:
-        return abs(end[0] - y) + abs(end[1] - x)
+        def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
+            def heuristic(y: int, x: int) -> int:
+                return abs(end[0] - y) + abs(end[1] - x)
 
-    # (distance + heuristic, distance, (start_pos, cycle))
-    queue = [(heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))]
-    visited: set[tuple[tuple[int, int], int]] = set()
-    distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {})
+            # (distance + heuristic, distance, (start_pos, cycle))
+            queue = [
+                (heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))
+            ]
+            visited: set[tuple[tuple[int, int], int]] = set()
+            distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {})
 
-    while queue:
-        _, distance, ((y, x), cycle) = heapq.heappop(queue)
+            while queue:
+                _, distance, ((y, x), cycle) = heapq.heappop(queue)
 
-        if ((y, x), cycle) in visited:
-            continue
-
-        distances[y, x][cycle] = distance
-
-        visited.add(((y, x), cycle))
-
-        if (y, x) == (end[0], end[1]):
-            break
-
-        for dy, dx in (0, 0), (-1, 0), (1, 0), (0, -1), (0, 1):
-            ty = y + dy
-            tx = x + dx
-
-            n_cycle = (cycle + 1) % CYCLE
-
-            if (ty, tx) == end:
-                heapq.heappush(queue, (distance + 1, distance + 1, ((ty, tx), n_cycle)))
-                break
-
-            if ((ty, tx), n_cycle) in visited:
-                continue
-
-            if (ty, tx) != start and (ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols):
-                continue
-
-            if (ty, tx) != start:
-                if (ty - n_cycle) % n_rows in south_winds[tx]:
-                    continue
-                if (ty + n_cycle) % n_rows in north_winds[tx]:
-                    continue
-                if (tx + n_cycle) % n_cols in west_winds[ty]:
-                    continue
-                if (tx - n_cycle) % n_cols in east_winds[ty]:
+                if ((y, x), cycle) in visited:
                     continue
 
-            heapq.heappush(
-                queue,
-                ((heuristic(ty, tx) + distance + 1, distance + 1, ((ty, tx), n_cycle))),
-            )
+                distances[y, x][cycle] = distance
 
-    return distances, next(iter(distances[end].values()))
+                visited.add(((y, x), cycle))
 
+                if (y, x) == (end[0], end[1]):
+                    break
 
-start = (
-    -1,
-    next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1,
-)
-end = (
-    n_rows,
-    next(j for j in range(1, len(lines[-1]) - 1) if lines[-1][j] == ".") - 1,
-)
+                for dy, dx in (0, 0), (-1, 0), (1, 0), (0, -1), (0, 1):
+                    ty = y + dy
+                    tx = x + dx
 
-distances_1, forward_1 = run(start, 0, end)
-print(f"answer 1 is {forward_1}")
+                    n_cycle = (cycle + 1) % CYCLE
 
-distances_2, return_1 = run(end, next(iter(distances_1[end].keys())), start)
-distances_3, forward_2 = run(start, next(iter(distances_2[start].keys())), end)
-print(f"answer 2 is {forward_1 + return_1 + forward_2}")
+                    if (ty, tx) == end:
+                        heapq.heappush(
+                            queue, (distance + 1, distance + 1, ((ty, tx), n_cycle))
+                        )
+                        break
+
+                    if ((ty, tx), n_cycle) in visited:
+                        continue
+
+                    if (ty, tx) != start and (
+                        ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols
+                    ):
+                        continue
+
+                    if (ty, tx) != start:
+                        if (ty - n_cycle) % n_rows in south_winds[tx]:
+                            continue
+                        if (ty + n_cycle) % n_rows in north_winds[tx]:
+                            continue
+                        if (tx + n_cycle) % n_cols in west_winds[ty]:
+                            continue
+                        if (tx - n_cycle) % n_cols in east_winds[ty]:
+                            continue
+
+                    heapq.heappush(
+                        queue,
+                        (
+                            (
+                                heuristic(ty, tx) + distance + 1,
+                                distance + 1,
+                                ((ty, tx), n_cycle),
+                            )
+                        ),
+                    )
+
+            return distances, next(iter(distances[end].values()))
+
+        start = (
+            -1,
+            next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1,
+        )
+        end = (
+            n_rows,
+            next(j for j in range(1, len(lines[-1]) - 1) if lines[-1][j] == ".") - 1,
+        )
+
+        distances_1, forward_1 = run(start, 0, end)
+        yield forward_1
+
+        distances_2, return_1 = run(end, next(iter(distances_1[end].keys())), start)
+        _distances_3, forward_2 = run(start, next(iter(distances_2[start].keys())), end)
+        yield forward_1 + return_1 + forward_2

src/holt59/aoc/2022/day25.py

@@ -1,30 +1,28 @@
-import sys
 from typing import Any, Iterator
 
 from ..base import BaseSolver
 
-lines = sys.stdin.read().splitlines()
 
-coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2}
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = [line.strip() for line in input.splitlines()]
 
+        coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2}
 
-def snafu2number(number: str) -> int:
-    value = 0
-    for c in number:
-        value *= 5
-        value += coeffs[c]
-    return value
+        def snafu2number(number: str) -> int:
+            value = 0
+            for c in number:
+                value *= 5
+                value += coeffs[c]
+            return value
 
+        def number2snafu(number: int) -> str:
+            values = ["0", "1", "2", "=", "-"]
+            res = ""
+            while number > 0:
+                mod = number % 5
+                res = res + values[mod]
+                number = number // 5 + int(mod >= 3)
+            return "".join(reversed(res))
 
-def number2snafu(number: int) -> str:
-    values = ["0", "1", "2", "=", "-"]
-    res = ""
-    while number > 0:
-        mod = number % 5
-        res = res + values[mod]
-        number = number // 5 + int(mod >= 3)
-    return "".join(reversed(res))
-
-
-answer_1 = number2snafu(sum(map(snafu2number, lines)))
-print(f"answer 1 is {answer_1}")
+        yield number2snafu(sum(map(snafu2number, lines)))

src/holt59/aoc/2023/day10.py

@@ -83,18 +83,17 @@ class Solver(BaseSolver):
                 if (i, j) in loop_s and lines[i][j] in "|LJ":
                     cnt += 1
 
-        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)
+        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
+            )
 
         yield len(inside)

src/holt59/aoc/2023/day16.py

@@ -84,9 +84,14 @@ class Solver(BaseSolver):
 
         beams = propagate(layout, (0, 0), "R")
 
-        if self.verbose:
-            for row in beams:
-                self.logger.info("".join("#" if col else "." for col in row))
+        if self.files:
+            self.files.create(
+                "beams.txt",
+                "\n".join(
+                    "".join("#" if col else "." for col in row) for row in beams
+                ).encode(),
+                True,
+            )
 
         # part 1
         yield sum(sum(map(bool, row)) for row in beams)

src/holt59/aoc/2023/day17.py

@@ -33,10 +33,14 @@ 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]
 
@@ -74,8 +78,9 @@ class Solver(BaseSolver):
 
         p_grid[0][0] = f"\033[92m{grid[0][0]}\033[0m"
 
-        for row in p_grid:
-            self.logger.info("".join(row))
+        self.files.create(
+            name, "\n".join("".join(row) for row in p_grid).encode(), True
+        )
 
     def shortest_many_paths(self, grid: list[list[int]]) -> dict[tuple[int, int], int]:
         n_rows, n_cols = len(grid), len(grid[0])
@@ -129,6 +134,7 @@ class Solver(BaseSolver):
 
     def shortest_path(
         self,
+        name: str,
         grid: list[list[int]],
         min_straight: int,
         max_straight: int,
@@ -217,8 +223,7 @@ class Solver(BaseSolver):
                     ),
                 )
 
-        if self.verbose:
-            self.print_shortest_path(grid, target, per_cell)
+        self.print_shortest_path(f"shortest-path_{name}.txt", grid, target, per_cell)
 
         return per_cell[target][0][1]
 
@@ -227,7 +232,7 @@ class Solver(BaseSolver):
         estimates = self.shortest_many_paths(data)
 
         # part 1
-        yield self.shortest_path(data, 1, 3, lower_bounds=estimates)
+        yield self.shortest_path("answer_1", data, 1, 3, lower_bounds=estimates)
 
         # part 2
-        yield self.shortest_path(data, 4, 10, lower_bounds=estimates)
+        yield self.shortest_path("answer_2", data, 4, 10, lower_bounds=estimates)

src/holt59/aoc/2023/day20.py

@@ -1,4 +1,3 @@
-import sys
 from collections import defaultdict
 from math import lcm
 from typing import Any, Iterator, Literal, TypeAlias
@@ -67,7 +66,7 @@ class Solver(BaseSolver):
     def solve(self, input: str) -> Iterator[Any]:
         self._modules = {}
 
-        lines = sys.stdin.read().splitlines()
+        lines = input.splitlines()
 
         for line in lines:
             name, outputs_s = line.split(" -> ")
@@ -80,22 +79,23 @@ class Solver(BaseSolver):
                     outputs,
                 )
 
-        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"
-                    elif type == "flip-flop":
-                        shape = "box"
-                    else:
-                        shape = "circle"
-                    fp.write(f"{name} [shape={shape}];\n")
-                for name, (type, outputs) in self._modules.items():
-                    for output in outputs:
-                        fp.write(f"{name} -> {output};\n")
-                fp.write("}\n")
+        if self.files:
+            contents = "digraph G {\n"
+            contents += "rx [shape=circle, color=red, style=filled];\n"
+            for name, (type, outputs) in self._modules.items():
+                if type == "conjunction":
+                    shape = "diamond"
+                elif type == "flip-flop":
+                    shape = "box"
+                else:
+                    shape = "circle"
+                contents += 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)
 
         # part 1
         flip_flop_states: dict[str, Literal["on", "off"]] = {

src/holt59/aoc/2023/day21.py

@@ -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.verbose:
+        if self.files:
             n_rows, n_cols = len(map), len(map[0])
 
             rows = [
@@ -66,8 +66,9 @@ class Solver(BaseSolver):
                     if (i // cycle) % 2 == (j // cycle) % 2:
                         rows[i][j] = f"\033[91m{rows[i][j]}\033[0m"
 
-            for row in rows:
-                self.logger.info("".join(row))
+            self.files.create(
+                "cycle.txt", "\n".join("".join(row) for row in rows).encode(), True
+            )
 
         self.logger.info(f"values to fit: {values}")
 
@@ -101,32 +102,31 @@ 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
-        )
-        print(f"answer 2 (v1) is {answer_2}")
+        # 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
+        # )
 
         # version 2: fitting a polynomial
         #

src/holt59/aoc/2024/day10.py

@@ -1,7 +1,35 @@
+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]: ...
+    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())

src/holt59/aoc/2024/day11.py

@@ -1,7 +1,36 @@
+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]: ...
+    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)

src/holt59/aoc/2024/day12.py

@@ -1,7 +1,101 @@
-from typing import Any, Iterator
+import itertools as it
+from dataclasses import dataclass
+from typing import Any, Iterator, TypeAlias
 
 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]: ...
+    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)

src/holt59/aoc/2024/day13.py

@@ -1,7 +1,79 @@
+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]: ...
+    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))

src/holt59/aoc/2024/day14.py

@@ -1,7 +1,74 @@
+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]: ...
+    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

src/holt59/aoc/2024/day15.py

@@ -1,7 +1,282 @@
-from typing import Any, Iterator
+from typing import Any, Callable, Final, Iterator, TypeAlias
+
+import numpy as np
+from numpy.typing import NDArray
 
 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 solve(self, input: str) -> Iterator[Any]: ...
+    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)
+        )

src/holt59/aoc/2024/day16.py

@@ -1,7 +1,62 @@
-from typing import Any, Iterator
+import heapq
+from collections import defaultdict
+from typing import Any, Iterator, TypeAlias
 
 from ..base import BaseSolver
 
+Position: TypeAlias = tuple[int, int]
+Direction: TypeAlias = tuple[int, int]
+
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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)

src/holt59/aoc/2024/day17.py

@@ -3,5 +3,128 @@ 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]: ...
+    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)

src/holt59/aoc/2024/day18.py

@@ -1,7 +1,58 @@
 from typing import Any, Iterator
 
 from ..base import BaseSolver
+from ..tools import graphs
 
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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

src/holt59/aoc/2024/day19.py

@@ -1,7 +1,42 @@
+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]: ...
+    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))

src/holt59/aoc/2024/day20.py

@@ -1,7 +1,95 @@
-from typing import Any, Iterator
+import itertools
+from collections import Counter
+from typing import Any, Callable, Iterable, Iterator, Sequence, TypeAlias
 
 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 solve(self, input: str) -> Iterator[Any]: ...
+    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())

src/holt59/aoc/2024/day21.py

@@ -1,7 +1,85 @@
-from typing import Any, Iterator
+import itertools
+from functools import cache
+from typing import Any, Iterator, Literal
 
 from ..base import BaseSolver
 
+NUM_PAD_P = {
+    v: (i, j)
+    for i, r in enumerate(("789", "456", "123", " 0A"))
+    for j, v in enumerate(r)
+    if v.strip()
+}
+MOV_PAD_P = {
+    v: (i, j)
+    for i, r in enumerate((" ^A", "<v>"))
+    for j, v in enumerate(r)
+    if v.strip()
+}
+
+
+def path(start: tuple[int, int], end: tuple[int, int], pad: Literal["num", "mov"]):
+    # a move in the grid is composed of at most two straight line: up/down and
+    # left/right, since doing some kind of diagonal moves would create long path for
+    # the robot above (since this involves going back-and-forth to the letter 'A')
+    #
+    row_s, col_s = start
+    row_e, col_e = end
+
+    le, de, ue, re = (
+        "<" * max(0, col_s - col_e),
+        "v" * max(0, row_e - row_s),
+        "^" * max(0, row_s - row_e),
+        ">" * max(0, col_e - col_s),
+    )
+
+    # when the robot starts or ends on the row/column with the empty cell, there is
+    # only one way to move
+    #
+    if pad == "num" and (row_s, col_e) == (3, 0):
+        return ue + le
+    elif pad == "num" and (col_s, row_e) == (0, 3):
+        return re + de
+    elif pad == "mov" and col_s == 0:
+        return re + ue
+    elif pad == "mov" and col_e == 0:
+        return de + le
+
+    # otherwise, we need to decide if we want to go up/down first, or left/right, and
+    # apparently this is the best way to do it...
+    return le + de + ue + re
+
+
+@cache
+def v_clicks(clicks: str, depth: int) -> int:
+    if depth == 0:
+        return len(clicks)
+
+    n_clicks = 0
+    at = "A"
+    for _, group in itertools.groupby(clicks):
+        group = list(group)
+        n_clicks += v_clicks(
+            path(MOV_PAD_P[at], MOV_PAD_P[group[0]], "mov") + "A" * len(group),
+            depth - 1,
+        )
+        at = group[0]
+
+    return n_clicks
+
+
+def path_length(code: str, depth: int):
+    return sum(
+        v_clicks(path(NUM_PAD_P[start], NUM_PAD_P[end], "num") + "A", depth)
+        for start, end in zip("A" + code[:-1], code, strict=True)
+    )
+
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    def solve(self, input: str) -> Iterator[Any]:
+        yield sum(
+            path_length(code, 2) * int(code[:-1], 10) for code in input.splitlines()
+        )
+        yield sum(
+            path_length(code, 25) * int(code[:-1], 10) for code in input.splitlines()
+        )

src/holt59/aoc/2024/day22.py

@@ -3,5 +3,57 @@ 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]: ...
+    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)

src/holt59/aoc/2024/day23.py

@@ -1,7 +1,36 @@
+from collections import defaultdict
 from typing import Any, Iterator
 
 from ..base import BaseSolver
+from ..tools.graphs import iter_max_cliques
 
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    def solve(self, input: str) -> Iterator[Any]:
+        connections: dict[str, set[str]] = defaultdict(set)
+        for row in input.splitlines():
+            src, dst = row.split("-")
+            connections[src].add(dst)
+            connections[dst].add(src)
+
+        if self.files:
+            content = "graph G {\n"
+            for row in input.splitlines():
+                src, dst = row.split("-")
+                content += f"{src} -- {dst}\n"
+            content += "}"
+            self.files.create("graph.dot", content.encode(), False)
+
+        cliques: set[frozenset[str]] = set()
+
+        for node1, neighbors in connections.items():
+            for node2 in neighbors:
+                for node3 in connections[node2].intersection(neighbors):
+                    cliques.add(frozenset({node1, node2, node3}))
+
+        self.logger.info(f"found {len(cliques)} cliques of size 3")
+        yield sum(any(node.startswith("t") for node in clique) for clique in cliques)
+
+        # clique = max(nx.algorithms.clique.find_cliques(G), key=len)
+        clique = max(iter_max_cliques(connections), key=len)
+        yield ",".join(sorted(clique))

src/holt59/aoc/2024/day24.py

@@ -1,7 +1,170 @@
-from typing import Any, Iterator
+from dataclasses import dataclass
+from typing import Any, Iterator, Literal, TypeAlias, cast
 
 from ..base import BaseSolver
 
+GateType: TypeAlias = Literal["and", "or", "xor"]
+
+
+@dataclass(frozen=True, eq=True)
+class Gate:
+    type: GateType
+    lhs: str
+    rhs: str
+
+    def __call__(self, lhs: int, rhs: int) -> Any:
+        match self.type:
+            case "or":
+                return int(lhs or rhs)
+            case "and":
+                return int(lhs and rhs)
+            case "xor":
+                return int(lhs != rhs)
+
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    def solve(self, input: str) -> Iterator[Any]:
+        inputs_s, gates_s = input.split("\n\n")
+
+        wires: dict[str, int | None] = {}
+        for row in inputs_s.splitlines():
+            parts = row.split(": ")
+            wires[parts[0]] = int(parts[1])
+
+        gates: dict[str, Gate] = {}
+        for row in gates_s.splitlines():
+            parts = row.split()
+            assert parts[4] not in gates
+            assert parts[4] not in wires
+
+            lhs, rhs = sorted([parts[0], parts[2]])
+
+            gates[parts[4]] = Gate(cast(GateType, parts[1].lower()), lhs, rhs)
+            wires[parts[4]] = None
+
+        if self.files:
+            content = "digraph G {\n"
+            for wire in wires:
+                content += f'{wire} [label="{wire}"]\n'
+            for wire, gate in gates.items():
+                gate_n = f"G_{wire}"
+                content += f'{gate_n} [label="{gate.type.upper()}"]\n'
+                content += f"{gate.lhs} -> {gate_n}\n"
+                content += f"{gate.rhs} -> {gate_n}\n"
+                content += f"{gate_n} -> {wire}\n"
+            content += "}\n"
+            self.files.create("gates.dot", content.encode(), text=False)
+
+        wires_to_find = set(gates)
+
+        while wires_to_find:
+            wires_found: list[str] = []
+            for wire in wires_to_find:
+                gate = gates[wire]
+
+                lhs, rhs = wires[gate.lhs], wires[gate.rhs]
+
+                if lhs is None or rhs is None:
+                    continue
+
+                assert wires[wire] is None
+                wires[wire] = gate(lhs, rhs)
+
+                wires_found.append(wire)
+
+            wires_to_find.difference_update(wires_found)
+
+        z_wires = sorted((wire for wire in wires if wire.startswith("z")))
+        self.logger.info(
+            "binary value is '{}'".format(
+                "".join(str(wires[w]) for w in reversed(z_wires))
+            )
+        )
+        yield int("".join(str(wires[w]) for w in reversed(z_wires)), base=2)
+
+        # e00 = x00 ^ y00
+        # z00 = e00
+        # r00 = x00 & y00
+
+        # e01 = x01 ^ y01
+        # z01 = r00 ^ e01
+        # a01 = x01 & y01
+        # b01 = r00 & e01
+        # r01 = a01 | (r00 & e01)
+
+        assert gates["z00"] == Gate("xor", "x00", "y00")
+
+        # normalized names -> gate name
+        m_gates: dict[str, str] = {}
+
+        def find_gate(type: GateType, lhs: str, rhs: str):
+            try:
+                return next(
+                    wire
+                    for wire, gate in gates.items()
+                    if gate.type == type
+                    and {gate.lhs, gate.rhs}
+                    == {m_gates.get(lhs, lhs), m_gates.get(rhs, rhs)}
+                )
+            except StopIteration as ex:
+                self.logger.info(
+                    f"gate {lhs} [{m_gates.get(lhs, lhs)}] {type} {rhs} [{m_gates.get(rhs, rhs)}] not found"
+                )
+                raise ex
+
+        # find the r00 gate (= x00 & y00)
+        m_gates["r00"] = find_gate("and", "x00", "y00")
+
+        swapped: list[str] = []
+
+        for i_wire, z_wire in enumerate(z_wires[1:-1], start=1):
+            i2d = f"{i_wire:02d}"
+            r0n = f"r{i_wire - 1:02d}"
+            m_gates[f"e{i2d}"] = find_gate("xor", f"x{i2d}", f"y{i2d}")
+
+            try:
+                z_gate = find_gate("xor", r0n, f"e{i2d}")
+            except StopIteration:
+                # gate xor not found -> one of the input gate has been swapped
+                #
+                # assume there is a XOR gate with the remainder, so it is the other
+                # input that has been swapped
+                assert gates[z_wire].type == "xor"
+                assert m_gates.get(r0n, r0n) in (gates[z_wire].lhs, gates[z_wire].rhs)
+
+                wrong_wire_1 = (
+                    gates[z_wire].lhs
+                    if gates[z_wire].rhs == m_gates.get(r0n, r0n)
+                    else gates[z_wire].rhs
+                )
+                wrong_wire_2 = m_gates[f"e{i2d}"]
+
+                # we are going to fix all the gates (there is probably only 2 but
+                # eh...) whose wires needs to be swapped
+
+                self.logger.info(f"swapping {wrong_wire_1} <> {wrong_wire_2}")
+                switch = {wrong_wire_1: wrong_wire_2, wrong_wire_2: wrong_wire_1}
+
+                for wire, gate in list(gates.items()):
+                    lhs, rhs = (
+                        switch.get(gate.lhs, gate.lhs),
+                        switch.get(gate.rhs, gate.rhs),
+                    )
+                    if lhs != gate.lhs or rhs != gate.rhs:
+                        gates[wire] = Gate(gate.type, lhs, rhs)
+
+                swapped.extend((wrong_wire_1, wrong_wire_2))
+
+                z_gate = find_gate("xor", r0n, f"e{i2d}")
+
+            if z_gate != z_wire:
+                self.logger.info(f"swapping {z_gate} <> {z_wire}")
+                gates[z_gate], gates[z_wire] = gates[z_wire], gates[z_gate]
+                swapped.extend((z_gate, z_wire))
+
+            m_gates[f"a{i2d}"] = find_gate("and", f"x{i2d}", f"y{i2d}")
+            m_gates[f"b{i2d}"] = find_gate("and", r0n, f"e{i2d}")
+            m_gates[f"r{i2d}"] = find_gate("or", f"a{i2d}", f"b{i2d}")
+
+        assert len(swapped) == 8
+        yield ",".join(sorted(swapped))

src/holt59/aoc/2024/day25.py

@@ -1,7 +1,40 @@
+import itertools as it
 from typing import Any, Iterator
 
 from ..base import BaseSolver
 
 
+def read_locks_and_keys(input: str):
+    locks: list[tuple[int, ...]] = []
+    keys: list[tuple[int, ...]] = []
+
+    for block in map(str.splitlines, input.split("\n\n")):
+        n_rows, n_cols = len(block), len(block[0])
+        if block[0] == "#" * n_cols:
+            locks.append(
+                tuple(
+                    next(i for i in range(n_rows) if block[i][j] == ".") - 1
+                    for j in range(n_cols)
+                )
+            )
+        else:
+            keys.append(
+                tuple(
+                    n_rows - next(i for i in range(n_rows) if block[i][j] == "#") - 1
+                    for j in range(n_cols)
+                )
+            )
+
+    return locks, keys
+
+
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    def solve(self, input: str) -> Iterator[Any]:
+        locks, keys = read_locks_and_keys(input)
+        assert len(set(locks)) == len(locks)
+        assert len(set(keys)) == len(keys)
+
+        yield sum(
+            all(c1 + c2 <= 5 for c1, c2 in zip(lock, key, strict=True))
+            for lock, key in it.product(locks, keys)
+        )

src/holt59/aoc/2024/day9.py

@@ -4,4 +4,64 @@ from ..base import BaseSolver
 
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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)

src/holt59/aoc/__main__.py

@@ -1,114 +1,48 @@
 import argparse
 import importlib
-import json
 import logging
 import logging.handlers
 import sys
-from datetime import datetime, timedelta
+from datetime import datetime
 from pathlib import Path
-from typing import Any, Iterable, Iterator, Literal, Sequence, TextIO, TypeVar
-
-from tqdm import tqdm
 
 from .base import BaseSolver
-
-_T = TypeVar("_T")
+from .utils.api import FileHandlerAPI, LoggerAPIHandler, ProgressAPI, dump_answer
+from .utils.files import SimpleFileHandler
+from .utils.progress import ProgressNone, ProgressTQDM
 
 
-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,
-    )
+def find_input_file(folder: Path, day: int, target: Path | None):
+    if (path := folder.joinpath(f"day{day}.txt")).exists():
+        return path
 
-
-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,
+    if (
+        target is not None
+        and (path := folder.joinpath(f"day{day}_v{target}.txt")).exists()
     ):
-        super().__init__()
+        return path
 
-        self.counter = 0
-        self.output = output
-        self.min_step = min_step
-        self.min_time = min_time
+    try:
+        return next(path for path in sorted(folder.glob(f"day{day}*.txt")))
+    except StopIteration:
+        ...
 
-    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)
+    return folder.joinpath(f"day{day}.txt")
 
 
 def main():
     parser = argparse.ArgumentParser("Holt59 Advent-Of-Code Runner")
     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"
     )
@@ -135,20 +69,24 @@ 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 or api else logging.WARNING,
+        level=logging.INFO if verbose else logging.WARNING,
         handlers=[LoggerAPIHandler()] if api else None,
     )
 
-    if input_path is None:
-        input_path = Path(__file__).parent.joinpath(
-            "inputs", "tests" if test else user, str(year), f"day{day}.txt"
+    if input_path is None or not input_path.exists():
+        input_path = find_input_file(
+            Path(__file__).parent.joinpath(
+                "inputs", "tests" if test else user, str(year)
+            ),
+            day,
+            input_path,
         )
     assert input_path.exists(), f"{input_path} missing"
 
@@ -166,7 +104,11 @@ def main():
         else ProgressTQDM()
         if verbose
         else ProgressNone(),  # type: ignore
-        outputs=not api,
+        files=FileHandlerAPI(files_output)
+        if api and verbose
+        else SimpleFileHandler(logging.getLogger("AOC"), files_output)
+        if verbose
+        else None,
     )
 
     data: str
@@ -179,7 +121,7 @@ def main():
     start = datetime.now()
     last = start
 
-    it = solver.solve(data.strip())
+    it = solver.solve(data.rstrip())
 
     if it is None:
         solver.logger.error(f"no implementation for {year} day {day}")
@@ -189,14 +131,11 @@ def main():
         current = datetime.now()
 
         if api:
-            dump_api_message(
-                "answer",
-                {
-                    "answer": i_answer + 1,
-                    "value": answer,
-                    "answerTime_s": (current - last).total_seconds(),
-                    "totalTime_s": (current - start).total_seconds(),
-                },
+            dump_answer(
+                part=i_answer + 1,
+                answer=answer,
+                answer_time=current - last,
+                total_time=current - start,
             )
         else:
             print(

src/holt59/aoc/base.py

@@ -1,18 +1,78 @@
 from abc import abstractmethod
 from logging import Logger
-from typing import Any, Final, Iterable, Iterator, Protocol, Sequence, TypeVar, overload
+from pathlib import Path
+from typing import (
+    Any,
+    Final,
+    Iterable,
+    Iterator,
+    Protocol,
+    Sequence,
+    TypeVar,
+    overload,
+)
+
+from numpy.typing import NDArray
 
 _T = TypeVar("_T")
 
 
 class ProgressHandler(Protocol):
     @overload
-    def wrap(self, values: Sequence[_T]) -> Iterator[_T]:
-        ...
+    def wrap(self, values: Sequence[_T]) -> Iterator[_T]: ...
 
     @overload
-    def wrap(self, values: Iterable[_T], total: int) -> Iterator[_T]:
-        ...
+    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:
@@ -23,15 +83,14 @@ class BaseSolver:
         year: int,
         day: int,
         progress: ProgressHandler,
-        outputs: bool = False,
+        files: FileHandler | None = None,
     ):
         self.logger: Final = logger
         self.verbose: Final = verbose
         self.year: Final = year
         self.day: Final = day
         self.progress: Final = progress
-        self.outputs = outputs
+        self.files: Final = files
 
     @abstractmethod
-    def solve(self, input: str) -> Iterator[Any] | None:
-        ...
+    def solve(self, input: str) -> Iterator[Any] | None: ...

src/holt59/aoc/inputs/holt59/2015/day23.txt

@@ -0,0 +1,49 @@
+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

src/holt59/aoc/inputs/holt59/2015/day24.txt

@@ -0,0 +1,28 @@
+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

src/holt59/aoc/inputs/holt59/2015/day25.txt

@@ -0,0 +1 @@
+To continue, please consult the code grid in the manual.  Enter the code at row 3010, column 3019.

src/holt59/aoc/inputs/holt59/2021/day10.txt

@@ -0,0 +1,94 @@
+<[<<({{<{<[[([()][()()])<{[]<>}{<>}>><<<[]{}>>{<<><>>({}{})}>][<<<{}<>>([])>{<{}><()>}>]><(<{(()[]){[](
+<{([({{[(<[({({}{})[()<>]}{{<>{}}[(){}]})]>({(<<<><>>{{}()}>)<<<[]><{}<>>><[{}[]]<<>[]>>>}))[{(<{([]
+([<([({(<([<({()()}(<>[]))[<[]()>{<>{}}]>]<{{{{}{}}{()()})({[]}[<>{}])}>)>)}){<<{{(<<<()<>><<><>>>
+[{{[<<[{([[{{[<>{}]<()<>>}[(()<>)[{}<>]]}<<[{}[]]([]<>)>{{[]{}}{()()}}>]][[{<({}{})<[]{}>>
+<<{{<([(((([{<[]<>>{()<>}}(<<>[]>{(){}})]([{{}<>}<[]>](<[][]><{}()>)))))[({{{<[]{}>[()]}<<<><>>
+<(<[{(<[{{{<{[[]<>]{<>()}}><[[{}()][(){}]]>}}<[<[<()()>({}<>)]><[{[]()}([][])](<(){}>[<><>])>]{
+{[[<{{<<[[<<(({}<>){<><>})[[<>()][[]{})]>[[[{}[]]<<>>]{(<>[])}]>{{<<()[]>{<>{}}>[{[]<>}<[]{}>]
+({[((((([{[({[{}[]]<[]()>}[({}{})<<>[]>])<[(()[])<{}()>]{[[]<>]{[]()})>](([({}<>)(()[])][<[]{}>])
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+({[<[[{<<{{[{(<>{})}]{<[{}{}][[]()]>[[[]{}][()()]]}}[(<<{}[]>{<>[]}>{{{}<>}[(){}]}){{[<>{}]<{}{}>}{
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+<{({(([((<[<{(()[])<[][]>}{<<><>><[]<>>}><<([]<>)([]<>)>>]{[<([]{}]{<>{}}>]}>[{[(([]{})[{}{}])[<<>{}
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src/holt59/aoc/inputs/holt59/2021/day11.txt

@@ -0,0 +1,10 @@
+4738615556
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+4546674266
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+4524873247
+3153341314
+3721414667

src/holt59/aoc/inputs/holt59/2021/day12.txt

@@ -0,0 +1,26 @@
+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

src/holt59/aoc/inputs/holt59/2024/day10.txt

@@ -0,0 +1,50 @@
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src/holt59/aoc/inputs/holt59/2024/day11.txt

@@ -0,0 +1 @@
+2 77706 5847 9258441 0 741 883933 12

src/holt59/aoc/inputs/holt59/2024/day12.txt

@@ -0,0 +1,140 @@
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+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
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src/holt59/aoc/inputs/holt59/2024/day14.txt

@@ -0,0 +1,500 @@
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src/holt59/aoc/inputs/holt59/2024/day15.txt

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src/holt59/aoc/inputs/holt59/2024/day17.txt

@@ -0,0 +1,5 @@
+Register A: 53437164
+Register B: 0
+Register C: 0
+
+Program: 2,4,1,7,7,5,4,1,1,4,5,5,0,3,3,0

src/holt59/aoc/inputs/holt59/2024/day19.txt

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src/holt59/aoc/inputs/holt59/2024/day21.txt

@@ -0,0 +1,5 @@
+129A
+540A
+789A
+596A
+582A

src/holt59/aoc/inputs/holt59/2024/day24.txt

@@ -0,0 +1,313 @@
+x00: 1
+x01: 0
+x02: 1
+x03: 1
+x04: 0
+x05: 0
+x06: 1
+x07: 1
+x08: 0
+x09: 1
+x10: 1
+x11: 1
+x12: 1
+x13: 0
+x14: 1
+x15: 1
+x16: 1
+x17: 1
+x18: 1
+x19: 1
+x20: 0
+x21: 1
+x22: 0
+x23: 1
+x24: 0
+x25: 1
+x26: 1
+x27: 1
+x28: 1
+x29: 0
+x30: 0
+x31: 1
+x32: 0
+x33: 1
+x34: 1
+x35: 0
+x36: 0
+x37: 1
+x38: 0
+x39: 1
+x40: 1
+x41: 1
+x42: 1
+x43: 0
+x44: 1
+y00: 1
+y01: 0
+y02: 0
+y03: 1
+y04: 1
+y05: 0
+y06: 0
+y07: 0
+y08: 0
+y09: 0
+y10: 0
+y11: 1
+y12: 0
+y13: 1
+y14: 0
+y15: 1
+y16: 1
+y17: 1
+y18: 1
+y19: 0
+y20: 0
+y21: 1
+y22: 1
+y23: 1
+y24: 1
+y25: 0
+y26: 0
+y27: 1
+y28: 1
+y29: 1
+y30: 1
+y31: 0
+y32: 0
+y33: 0
+y34: 1
+y35: 1
+y36: 1
+y37: 0
+y38: 1
+y39: 1
+y40: 1
+y41: 1
+y42: 0
+y43: 1
+y44: 1
+
+x03 AND y03 -> htr
+gwb AND kvf -> pkd
+x04 AND y04 -> jjm
+qcm XOR twv -> z21
+rrq XOR bmp -> z44
+x43 AND y43 -> pnn
+x06 XOR y06 -> qmt
+x26 AND y26 -> z26
+y00 AND x00 -> whb
+jfq XOR fbb -> z36
+y33 AND x33 -> mmb
+x38 AND y38 -> vqt
+bbh OR qtd -> jfq
+cbs AND ttb -> qtd
+wqs OR cmf -> tpf
+x10 AND y10 -> bfm
+djp OR pfb -> qvr
+x20 XOR y20 -> vhb
+kkd XOR cjg -> z32
+qpp XOR stg -> z41
+kkd AND cjg -> mdv
+tpp OR pfj -> twv
+www AND qdf -> vjf
+y15 XOR x15 -> hmr
+mtg XOR sqm -> z09
+x33 XOR y33 -> chc
+x41 AND y41 -> pkj
+x31 AND y31 -> cvn
+x09 AND y09 -> nvw
+mtg AND sqm -> chg
+pkr AND kcv -> thc
+x07 XOR y07 -> cds
+x15 AND y15 -> fpr
+mwv AND jsg -> wdw
+mwv XOR jsg -> z38
+y16 XOR x16 -> svs
+y14 XOR x14 -> fnq
+wth OR vjf -> btv
+bvp AND gdb -> stc
+cjb XOR rjc -> z04
+x13 AND y13 -> pfb
+x30 AND y30 -> qgf
+htq AND rtk -> dsm
+x18 XOR y18 -> kvf
+y12 AND x12 -> mqn
+bcj XOR bkh -> z03
+x07 AND y07 -> sdj
+bdf OR wbw -> qkf
+y30 XOR x30 -> kbn
+tpf AND vhb -> tpp
+hqd OR fpr -> hgh
+vfm XOR hbw -> z23
+x01 AND y01 -> bdf
+nvw OR chg -> vgp
+x21 XOR y21 -> qcm
+bwg AND mfn -> djp
+dnf OR pkj -> ksp
+y44 AND x44 -> gqr
+y11 AND x11 -> smr
+smr OR dsm -> ksn
+jkm OR pkd -> rjf
+thc OR sqt -> rbd
+qvr XOR fnq -> z14
+cjb AND rjc -> fsb
+svg XOR fmt -> z31
+x06 AND y06 -> ssv
+dtj OR vvq -> jvp
+chv XOR fqf -> z34
+cvr AND hck -> pjd
+dqp AND nbm -> hvv
+x29 AND y29 -> vvq
+y13 XOR x13 -> mfn
+ksn AND nft -> z12
+jjd XOR whb -> z01
+chc AND rnq -> vjh
+y36 AND x36 -> kfn
+cwh OR vvw -> ttb
+qkf AND wsv -> pqc
+rdj OR kfv -> gdb
+x08 AND y08 -> jrr
+x02 AND y02 -> vdf
+x12 XOR y12 -> nft
+ptf OR jrr -> sqm
+tdv OR wjp -> cjw
+qvr AND fnq -> mch
+x28 XOR y28 -> cfj
+gtn XOR qmt -> z06
+mqn OR jpj -> bwg
+x36 XOR y36 -> fbb
+qht OR bfm -> htq
+y42 AND x42 -> mkg
+ksn XOR nft -> jpj
+x20 AND y20 -> pfj
+cmt AND nbq -> gmc
+rbd XOR knm -> z25
+pvj XOR ksp -> z42
+kgj OR stc -> www
+tpf XOR vhb -> z20
+pjd OR dsg -> mwv
+cbs XOR ttb -> z35
+bfk OR jvm -> gwb
+ffj XOR rpg -> z17
+vjr OR kwg -> pkr
+pvj AND ksp -> dkc
+y37 XOR x37 -> cvr
+btv XOR cfj -> z28
+gtq OR qgf -> fmt
+nbq XOR cmt -> z39
+wgq AND dqj -> tws
+x24 AND y24 -> sqt
+whj OR pnn -> bmp
+x02 XOR y02 -> wsv
+stg AND qpp -> dnf
+kbn XOR jvp -> z30
+y39 AND x39 -> gwq
+cds AND rkv -> nph
+kvf XOR gwb -> z18
+mkg OR dkc -> sch
+bqh XOR rjf -> z19
+hck XOR cvr -> z37
+jmk OR ssv -> rkv
+x21 AND y21 -> cgd
+pqc OR vdf -> bkh
+rff OR mts -> rpg
+bkh AND bcj -> rhq
+bnv OR bst -> stg
+bwg XOR mfn -> z13
+sgt AND scc -> bnv
+btv AND cfj -> tdv
+svs AND hgh -> rff
+hbw AND vfm -> kwg
+x40 XOR y40 -> scc
+y17 AND x17 -> jvm
+y34 AND x34 -> chv
+y35 AND x35 -> bbh
+mdv OR rft -> rnq
+fqf AND chv -> cwh
+y28 AND x28 -> wjp
+sch AND srj -> whj
+htr OR rhq -> rjc
+x05 XOR y05 -> dqp
+cvn OR qnk -> cjg
+y14 AND x14 -> tfr
+y11 XOR x11 -> rtk
+jfq AND fbb -> trr
+ppb AND hmr -> hqd
+gtb OR hvv -> gtn
+y44 XOR x44 -> rrq
+rtk XOR htq -> z11
+x01 XOR y01 -> jjd
+hmv XOR rts -> z08
+y10 XOR x10 -> vpc
+jvp AND kbn -> gtq
+cjw AND ntj -> dtj
+x22 AND y22 -> prp
+ppb XOR hmr -> z15
+y18 AND x18 -> jkm
+x39 XOR y39 -> nbq
+jjd AND whb -> wbw
+x34 XOR y34 -> vvw
+x19 AND y19 -> wqs
+gwq OR gmc -> sgt
+rbd AND knm -> rdj
+srj XOR sch -> z43
+y05 AND x05 -> gtb
+x08 XOR y08 -> hmv
+y25 AND x25 -> kfv
+cgd OR jth -> dqj
+vpc XOR vgp -> z10
+tws OR prp -> hbw
+jjm OR fsb -> nbm
+wdw OR vqt -> cmt
+rrq AND bmp -> cbv
+rts AND hmv -> ptf
+svs XOR hgh -> z16
+y41 XOR x41 -> qpp
+ntj XOR cjw -> z29
+ffj AND rpg -> bfk
+gqr OR cbv -> z45
+x25 XOR y25 -> knm
+chc XOR rnq -> z33
+y43 XOR x43 -> srj
+vgp AND vpc -> qht
+x00 XOR y00 -> z00
+cds XOR rkv -> rts
+x24 XOR y24 -> kcv
+x32 AND y32 -> rft
+nbm XOR dqp -> z05
+x35 XOR y35 -> cbs
+mch OR tfr -> ppb
+x16 AND y16 -> mts
+www XOR qdf -> z27
+x23 AND y23 -> vjr
+x26 XOR y26 -> bvp
+gtn AND qmt -> jmk
+x29 XOR y29 -> ntj
+y19 XOR x19 -> bqh
+rjf AND bqh -> cmf
+y38 XOR x38 -> jsg
+x32 XOR y32 -> kkd
+y03 XOR x03 -> bcj
+y31 XOR x31 -> svg
+y22 XOR x22 -> wgq
+qkf XOR wsv -> z02
+bvp XOR gdb -> kgj
+x04 XOR y04 -> cjb
+x17 XOR y17 -> ffj
+y37 AND x37 -> dsg
+y27 AND x27 -> wth
+y23 XOR x23 -> vfm
+sgt XOR scc -> z40
+mmb OR vjh -> fqf
+qcm AND twv -> jth
+y09 XOR x09 -> mtg
+sdj OR nph -> z07
+wgq XOR dqj -> z22
+trr OR kfn -> hck
+y27 XOR x27 -> qdf
+kcv XOR pkr -> z24
+x42 XOR y42 -> pvj
+x40 AND y40 -> bst
+svg AND fmt -> qnk

src/holt59/aoc/inputs/tests/2015/day23.txt

@@ -0,0 +1,4 @@
+inc a
+jio a, +2
+tpl a
+inc a

src/holt59/aoc/inputs/tests/2015/day24.txt

@@ -0,0 +1,10 @@
+1
+2
+3
+4
+5
+7
+8
+9
+10
+11

src/holt59/aoc/inputs/tests/2015/day25.txt

@@ -0,0 +1 @@
+To continue, please consult the code grid in the manual.  Enter the code at row 6, column 5.

src/holt59/aoc/inputs/tests/2021/day10.txt

@@ -0,0 +1,10 @@
+[({(<(())[]>[[{[]{<()<>>
+[(()[<>])]({[<{<<[]>>(
+{([(<{}[<>[]}>{[]{[(<()>
+(((({<>}<{<{<>}{[]{[]{}
+[[<[([]))<([[{}[[()]]]
+[{[{({}]{}}([{[{{{}}([]
+{<[[]]>}<{[{[{[]{()[[[]
+[<(<(<(<{}))><([]([]()
+<{([([[(<>()){}]>(<<{{
+<{([{{}}[<[[[<>{}]]]>[]]

src/holt59/aoc/inputs/tests/2021/day11.txt

@@ -0,0 +1,10 @@
+5483143223
+2745854711
+5264556173
+6141336146
+6357385478
+4167524645
+2176841721
+6882881134
+4846848554
+5283751526

src/holt59/aoc/inputs/tests/2021/day12.txt

@@ -0,0 +1,18 @@
+fs-end
+he-DX
+fs-he
+start-DX
+pj-DX
+end-zg
+zg-sl
+zg-pj
+pj-he
+RW-he
+fs-DX
+pj-RW
+zg-RW
+start-pj
+he-WI
+zg-he
+pj-fs
+start-RW

src/holt59/aoc/inputs/tests/2024/day10.txt

@@ -0,0 +1,8 @@
+89010123
+78121874
+87430965
+96549874
+45678903
+32019012
+01329801
+10456732