2024 day 23.

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

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 = [
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+]
 
 [[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 = "*"
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+
 [[package]]
 name = "debugpy"
 version = "1.8.9"
@@ -179,6 +214,19 @@ files = [
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 ]
 
+[[package]]
+name = "docplex"
+version = "2.28.240"
+description = "The IBM Decision Optimization CPLEX Modeling for Python"
+optional = false
+python-versions = "*"
+files = [
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+
+[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]]
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+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"
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+
+[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"]
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+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]]
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+optional = false
+python-versions = ">=3.8"
+files = [
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 [[package]]
 name = "ipykernel"
 version = "6.29.5"
@@ -430,68 +522,133 @@ files = [
 
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+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
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 [[package]]
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+python-versions = "*"
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+
 [[package]]
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 [[package]]
 name = "pyright"
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 [[package]]
 name = "ruff"
-version = "0.8.1"
+version = "0.8.3"
 description = "An extremely fast Python linter and code formatter, written in Rust."
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-
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-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-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274"},
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+    {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/day10.py

@@ -1,7 +1,47 @@
+from functools import reduce
 from typing import Any, Iterator
 
 from ..base import BaseSolver
 
+BRACKETS = {"{": "}", "[": "]", "<": ">", "(": ")"}
+
+CORRUPT_SCORES = {")": 3, "]": 57, "}": 1197, ">": 25137}
+COMPLETE_SCORES = {")": 1, "]": 2, "}": 3, ">": 4}
+
+
+def corrupted_or_incomplete(line: str) -> tuple[bool, str]:
+    opens: list[str] = []
+
+    for c in line:
+        if c in BRACKETS:
+            opens.append(c)
+        elif BRACKETS[opens[-1]] != c:
+            return True, c
+        else:
+            opens.pop()
+
+    return (False, "".join(opens))
+
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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

@@ -1,7 +1,66 @@
+import itertools as it
 from typing import Any, Iterator
 
 from ..base import BaseSolver
 
 
+def do_step(values: list[list[int]]) -> tuple[list[list[int]], set[tuple[int, int]]]:
+    values = [[c + 1 for c in r] for r in values]
+    flashed: set[tuple[int, int]] = set()
+
+    while True:
+        found = False
+
+        for i_row, row in enumerate(values):
+            for i_col, col in enumerate(row):
+                if col <= 9 or (i_row, i_col) in flashed:
+                    continue
+
+                found = True
+                flashed.add((i_row, i_col))
+                for dr, dc in it.product((-1, 0, 1), repeat=2):
+                    if 0 <= i_row + dr < len(values) and 0 <= i_col + dc < len(
+                        values[0]
+                    ):
+                        values[i_row + dr][i_col + dc] += 1
+
+        if not found:
+            break
+
+    for i, j in flashed:
+        values[i][j] = 0
+
+    return values, flashed
+
+
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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

@@ -1,7 +1,64 @@
-from typing import Any, Iterator
+import string
+from collections import defaultdict
+from functools import cache
+from typing import Any, Iterator, Mapping, Sequence
 
 from ..base import BaseSolver
 
 
+@cache
+def is_small(node: str):
+    return all(c in string.ascii_lowercase for c in node)
+
+
+def enumerate_paths(
+    neighbors: Mapping[str, Sequence[str]],
+    duplicate_smalls: int = 0,
+    start: str = "start",
+    current: tuple[str, ...] = ("start",),
+) -> Iterator[tuple[str, ...]]:
+    if start == "end":
+        yield current
+
+    for neighbor in neighbors[start]:
+        if not is_small(neighbor):
+            yield from enumerate_paths(
+                neighbors, duplicate_smalls, neighbor, current + (neighbor,)
+            )
+        elif neighbor not in current:
+            yield from enumerate_paths(
+                neighbors, duplicate_smalls, neighbor, current + (neighbor,)
+            )
+        elif duplicate_smalls > 0:
+            yield from enumerate_paths(
+                neighbors, duplicate_smalls - 1, neighbor, current + (neighbor,)
+            )
+
+
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    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/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.files.create(
-            self.logger.info("".join(row))
+            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.files.create(
-            self.logger.info(
+            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/day16.py

@@ -6,8 +6,6 @@ import re
 from collections import defaultdict
 from typing import Any, FrozenSet, Iterator, NamedTuple
 
-from tqdm import tqdm
-
 from ..base import BaseSolver
 
 
@@ -62,68 +60,70 @@ 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 ===
 
 
 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
+
+                        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(
+        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
+            )
+
+        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))
+
     def solve(self, input: str) -> Iterator[Any]:
         lines = [line.strip() for line in input.splitlines()]
 
@@ -153,7 +153,7 @@ class Solver(BaseSolver):
         relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
 
         # 1651, 1653
-        yield part_1(pipes["AA"], 30, distances, relevant_pipes)
+        yield self.part_1(pipes["AA"], 30, distances, relevant_pipes)
 
         # 1707, 2223
-        yield part_2(pipes["AA"], 26, distances, relevant_pipes)
+        yield self.part_2(pipes["AA"], 26, distances, relevant_pipes)

src/holt59/aoc/2022/day17.py

@@ -10,17 +10,6 @@ T = TypeVar("T")
 Tower: TypeAlias = NDArray[np.bool]
 
 
-def print_tower(tower: Tower, out: str = "#"):
-    print("-" * (tower.shape[1] + 2))
-    non_empty = False
-    for row in reversed(range(1, tower.shape[0])):
-        if not non_empty and not tower[row, :].any():
-            continue
-        non_empty = True
-        print("|" + "".join(out if c else "." for c in tower[row, :]) + "|")
-    print("+" + "-" * tower.shape[1] + "+")
-
-
 def tower_height(tower: Tower) -> int:
     return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
 

src/holt59/aoc/2022/day23.py

@@ -24,18 +24,6 @@ def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]:
     return min(ys), min(xs), max(ys), max(xs)
 
 
-def print_positions(positions: set[tuple[int, int]]):
-    min_y, min_x, max_y, max_x = min_max_yx(positions)
-    print(
-        "\n".join(
-            "".join(
-                "#" if (y, x) in positions else "." for x in range(min_x - 1, max_x + 2)
-            )
-            for y in range(min_y - 1, max_y + 2)
-        )
-    )
-
-
 def round(
     positions: set[tuple[int, int]],
     directions: Directions,

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:
+        if self.files:
-            for i in range(len(lines)):
+            rows = [["." for _j in range(len(lines[0]))] for _i in range(len(lines))]
-                s = ""
+            rows[si][sj] = "\033[91mS\033[0m"
-                for j in range(len(lines[0])):
+
-                    if (i, j) == (si, sj):
+            for i, j in loop:
-                        s += "\033[91mS\033[0m"
+                rows[i][j] = lines[i][j]
-                    elif (i, j) in loop:
+            for i, j in inside:
-                        s += lines[i][j]
+                rows[i][j] = "\033[92mI\033[0m"
-                    elif (i, j) in inside:
+
-                        s += "\033[92mI\033[0m"
+            self.files.create(
-                    else:
+                "output.txt", "\n".join("".join(row) for row in rows).encode(), True
-                        s += "."
+            )
-                self.logger.info(s)
 
         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:
+        if self.files:
-            for row in beams:
+            self.files.create(
-                self.logger.info("".join("#" if col else "." for col in row))
+                "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.files.create(
-            self.logger.info("".join(row))
+            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(f"shortest-path_{name}.txt", grid, target, per_cell)
-            self.print_shortest_path(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:
+        if self.files:
-            with open("./day20.dot", "w") as fp:
+            contents = "digraph G {\n"
-                fp.write("digraph G {\n")
+            contents += "rx [shape=circle, color=red, style=filled];\n"
-                fp.write("rx [shape=circle, color=red, style=filled];\n")
+            for name, (type, outputs) in self._modules.items():
-                for name, (type, outputs) in self._modules.items():
+                if type == "conjunction":
-                    if type == "conjunction":
+                    shape = "diamond"
-                        shape = "diamond"
+                elif type == "flip-flop":
-                    elif type == "flip-flop":
+                    shape = "box"
-                        shape = "box"
+                else:
-                    else:
+                    shape = "circle"
-                        shape = "circle"
+                contents += f"{name} [shape={shape}];\n"
-                    fp.write(f"{name} [shape={shape}];\n")
+            for name, (type, outputs) in self._modules.items():
-                for name, (type, outputs) in self._modules.items():
+                for output in outputs:
-                    for output in outputs:
+                    contents += f"{name} -> {output};\n"
-                        fp.write(f"{name} -> {output};\n")
+            contents += "}\n"
-                fp.write("}\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.files.create(
-                self.logger.info("".join(row))
+                "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 = [
+        # counts = [
-            [
+        #     [
-                sum(
+        #         sum(
-                    (i, j) in tiles
+        #             (i, j) in tiles
-                    for i in range(ci * cycle, (ci + 1) * cycle)
+        #             for i in range(ci * cycle, (ci + 1) * cycle)
-                    for j in range(cj * cycle, (cj + 1) * cycle)
+        #             for j in range(cj * cycle, (cj + 1) * cycle)
-                )
+        #         )
-                for cj in range(-2, 3)
+        #         for cj in range(-2, 3)
-            ]
+        #     ]
-            for ci in range(-2, 3)
+        #     for ci in range(-2, 3)
-        ]
+        # ]
 
-        radius = (26501365 - rhombus) // cycle - 1
+        # radius = (26501365 - rhombus) // cycle - 1
-        A = counts[2][2] if radius % 2 == 0 else counts[2][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]
+        # B = counts[2][2] if radius % 2 == 1 else counts[2][1]
-        answer_2 = (
+        # answer_2 = (
-            (radius + 1) * A
+        #     (radius + 1) * A
-            + radius * B
+        #     + radius * B
-            + 2 * radius * (radius + 1) // 2 * A
+        #     + 2 * radius * (radius + 1) // 2 * A
-            + 2 * radius * (radius - 1) // 2 * B
+        #     + 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, 2), (-1, 2), (2, 0), (2, -1)))
-            + sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3)))
+        #     + sum(counts[i][j] for i, j in ((0, 1), (0, 3), (-1, 1), (-1, 3)))
-            * (radius + 1)
+        #     * (radius + 1)
-            + sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius
+        #     + sum(counts[i][j] for i, j in ((1, 1), (1, 3), (-2, 1), (-2, 3))) * radius
-        )
+        # )
-        print(f"answer 2 (v1) is {answer_2}")
 
         # version 2: fitting a polynomial
         #

src/holt59/aoc/2023/day24.py

@@ -63,6 +63,7 @@ class Solver(BaseSolver):
                 (x, y, z), (vx, vy, vz), positions[i1], velocities[i1]
             ):
                 equations.append(p + ti * d - pi - ti * di)
+        print(equations)
 
         r = solve(equations, [x, y, z, vx, vy, vz] + list(ts), dict=True)[0]
         yield r[x] + r[y] + r[z]

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 +1,121 @@
-from typing import Any, Iterator
+import heapq
+from dataclasses import dataclass
+from typing import Any, Iterator, Literal, Sequence, TypeAlias, cast
 
 from ..base import BaseSolver
 
+Action: TypeAlias = Literal[">", "<", "v", "^", "A"]
+
+NUM_PAD = ((7, 8, 9), (4, 5, 6), (1, 2, 3), (None, 0, "A"))
+MOV_PAD: tuple[tuple[Action | None, ...], ...] = ((None, "^", "A"), ("<", "v", ">"))
+
+
+@dataclass(frozen=True, order=True)
+class Node:
+    robot_1: tuple[int, int] = (0, 2)
+    robot_2: tuple[int, int] = (0, 2)
+    robot_3: tuple[int, int] = (3, 2)
+
+    code: str = ""
+
+
+def apply_action(
+    robot: tuple[int, int],
+    action: Action,
+    pad: tuple[tuple[int | str | None, ...], ...],
+):
+    d_row, d_col = {"^": (-1, 0), "v": (1, 0), ">": (0, 1), "<": (0, -1)}[action]
+    row, col = robot[0] + d_row, robot[1] + d_col
+
+    if 0 <= row < len(pad) and 0 <= col < len(pad[row]) and pad[row][col] is not None:
+        return (row, col)
+
+    return None
+
+
+def create_node(node: Node, action: Action) -> Node | None:
+    # main pad moves -> move first robot
+    if action != "A":
+        robot = apply_action(node.robot_1, action, MOV_PAD)
+        if robot is not None:
+            return Node(
+                robot_1=robot,
+                robot_2=node.robot_2,
+                robot_3=node.robot_3,
+                code=node.code,
+            )
+
+        return None
+
+    # activate pad 1 -> action on robot 1
+    robot_1_action = MOV_PAD[node.robot_1[0]][node.robot_1[1]]
+    assert robot_1_action is not None
+
+    if robot_1_action != "A":
+        robot2 = apply_action(node.robot_2, robot_1_action, MOV_PAD)
+        if robot2 is not None:
+            return Node(
+                robot_1=node.robot_1,
+                robot_2=robot2,
+                robot_3=node.robot_3,
+                code=node.code,
+            )
+        return None
+
+    # activate pad 2 -> action on robot 2
+    robot_2_action = MOV_PAD[node.robot_2[0]][node.robot_2[1]]
+    assert robot_2_action is not None
+
+    if robot_2_action != "A":
+        robot3 = apply_action(node.robot_3, robot_2_action, NUM_PAD)
+        if robot3 is not None:
+            return Node(
+                robot_1=node.robot_1,
+                robot_2=node.robot_2,
+                robot_3=robot3,
+                code=node.code,
+            )
+        return None
+
+    value = NUM_PAD[node.robot_3[0]][node.robot_3[1]]
+    assert value is not None
+    return Node(
+        robot_1=node.robot_1,
+        robot_2=node.robot_2,
+        robot_3=node.robot_3,
+        code=node.code + str(value),
+    )
+
 
 class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]: ...
+    def dijkstra_for_code(self, target: str):
+        queue: list[tuple[float, Node, tuple[str, ...]]] = [(0, Node(), ())]
+        preds: dict[Node, tuple[str, ...]] = {}
+
+        while queue:
+            dis, node, path = heapq.heappop(queue)
+
+            if not target.startswith(node.code):
+                continue
+
+            if node in preds:
+                continue
+
+            preds[node] = path
+
+            if node.code == target:
+                self.logger.info(f"found [{target}]: {''.join(path)} ({len(path)})")
+                return path
+
+            for action in cast(Sequence[Action], "A^v<>"):
+                node_2 = create_node(node, action)
+                if node_2:
+                    heapq.heappush(queue, (dis + 1, node_2, path + (action,)))
+
+        return None
+
+    def solve(self, input: str) -> Iterator[Any]:
+        yield sum(
+            len(self.dijkstra_for_code(code) or ()) * int(code[:-1], 10)
+            for code in input.splitlines()
+        )

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/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

@@ -1,107 +1,15 @@
 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
-
+from .utils.api import FileHandlerAPI, LoggerAPIHandler, ProgressAPI, dump_answer
-_T = TypeVar("_T")
+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,
-    )
-
-
-class LoggerAPIHandler(logging.Handler):
-    def __init__(self, output: TextIO = sys.stdout):
-        super().__init__()
-        self.output = output
-
-    def emit(self, record: logging.LogRecord):
-        dump_api_message(
-            "log", {"level": record.levelname, "message": record.getMessage()}
-        )
-
-
-class ProgressAPI:
-    def __init__(
-        self,
-        min_step: int = 1,
-        min_time: timedelta = timedelta(milliseconds=100),
-        output: TextIO = sys.stdout,
-    ):
-        super().__init__()
-
-        self.counter = 0
-        self.output = output
-        self.min_step = min_step
-        self.min_time = min_time
-
-    def wrap(
-        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
-    ) -> Iterator[_T]:
-        total = total or len(values)  # type: ignore
-
-        current = self.counter
-        self.counter += 1
-
-        dump_api_message("progress-start", {"counter": current, "total": total})
-
-        try:
-            percent = 0
-            time = datetime.now()
-
-            for i_value, value in enumerate(values):
-                yield value
-
-                if datetime.now() - time < self.min_time:
-                    continue
-
-                time = datetime.now()
-
-                c_percent = round(i_value / total * 100)
-
-                if c_percent >= percent + self.min_step:
-                    dump_api_message(
-                        "progress-step", {"counter": current, "percent": c_percent}
-                    )
-                    percent = c_percent
-        finally:
-            dump_api_message(
-                "progress-end",
-                {"counter": current},
-            )
-
-
-class ProgressTQDM:
-    def wrap(
-        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
-    ) -> Iterator[_T]:
-        return iter(tqdm(values, total=total))
-
-
-class ProgressNone:
-    def wrap(
-        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
-    ) -> Iterator[_T]:
-        return iter(values)
 
 
 def main():
@@ -109,6 +17,13 @@ def main():
     parser.add_argument("-v", "--verbose", action="store_true", help="verbose mode")
     parser.add_argument("-t", "--test", action="store_true", help="test mode")
     parser.add_argument("-a", "--api", action="store_true", help="API mode")
+    parser.add_argument(
+        "-o",
+        "--output",
+        type=Path,
+        default=Path("files"),
+        help="output folder for created files",
+    )
     parser.add_argument(
         "-u", "--user", type=str, default="holt59", help="user input to use"
     )
@@ -135,14 +50,14 @@ def main():
     test: bool = args.test
     stdin: bool = args.stdin
     user: str = args.user
+    files_output: Path = args.output
     input_path: Path | None = args.input
 
     year: int = args.year
     day: int = args.day
 
-    # TODO: change this
     logging.basicConfig(
-        level=logging.INFO if verbose or api else logging.WARNING,
+        level=logging.INFO if verbose else logging.WARNING,
         handlers=[LoggerAPIHandler()] if api else None,
     )
 
@@ -166,7 +81,11 @@ 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
@@ -189,14 +108,11 @@ def main():
         current = datetime.now()
 
         if api:
-            dump_api_message(
+            dump_answer(
-                "answer",
+                part=i_answer + 1,
-                {
+                answer=answer,
-                    "answer": i_answer + 1,
+                answer_time=current - last,
-                    "value": str(answer),
+                total_time=current - start,
-                    "answerTime_s": (current - last).total_seconds(),
-                    "totalTime_s": (current - start).total_seconds(),
-                },
             )
         else:
             print(

src/holt59/aoc/base.py

@@ -1,6 +1,18 @@
 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")
 
@@ -13,6 +25,56 @@ class ProgressHandler(Protocol):
     def wrap(self, values: Iterable[_T], total: int) -> Iterator[_T]: ...
 
 
+class FileHandler:
+    @abstractmethod
+    def make_path(self, filename: str) -> Path: ...
+
+    @abstractmethod
+    def notify_created(self, path: Path): ...
+
+    @abstractmethod
+    def _create(
+        self, path: Path, content: bytes, text: bool = False
+    ) -> Path | None: ...
+
+    def create(self, filename: str, content: bytes, text: bool = False):
+        path = self._create(self.make_path(filename), content, text)
+
+        if path is not None:
+            self.notify_created(path)
+
+    def image(self, filename: str, image: NDArray[Any]):
+        import imageio.v3 as iio
+        from pygifsicle import optimize  # type: ignore
+
+        path = self.make_path(filename)
+
+        iio.imwrite(path, image)  # type: ignore
+        optimize(path, options=["--no-warnings"])
+
+        self.notify_created(path)
+
+    def video(self, filename: str, video: NDArray[Any]):
+        import cv2
+
+        path = self.make_path(filename)
+        fps = 5
+        out = cv2.VideoWriter(
+            path.as_posix(),
+            cv2.VideoWriter_fourcc(*"vp80"),  # type: ignore
+            fps,
+            (video.shape[2], video.shape[1]),
+            True,
+        )
+
+        for picture in video:
+            out.write(picture)
+
+        out.release()
+
+        self.notify_created(path)
+
+
 class BaseSolver:
     def __init__(
         self,
@@ -21,14 +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: ...

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

@@ -0,0 +1,10 @@
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src/holt59/aoc/inputs/holt59/2021/day12.txt

@@ -0,0 +1,26 @@
+xq-XZ
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+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 @@
+QQQQQQCCCCCCCCCCCCXXXXXXXXXXXXXXUUUUUUJEEJJJJJQQQQIIISSVVVVVVVVVMMMMMMMMMMMMMMMMMMVVVVVWWWWFFFFFFFFFFFFAFZZZZZZZZZZZMMMMMMMMMMMMMMMMMMVMMQQQ
+QQQQQCCCCCCCCCCCCCCCCXXXXXXXXXXUUUUUUUJJJJJJJJIIIQIIIIVVVVVVVVVVMMMMMMFMMMMMMMMMMMMVVVWWWWWFFFFFFFFFFFFFFZZZZZZZZLLZMMMMMMMMMMMMMMMMMMMMQQQQ
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+EEEEEEEEEEWWWWWYYDYYYYYYYYYYYYYIIXXXXXXXXXXXKKKJJJJJFFFFFFFFFFFFDDDDDZZZZZZZBBBBAAAAAAAAAAAAAEMHHHHHHIIIIIIIIIIIIIQQQQQQQQQQQQQQQQQQKKKKKKKK
+EEEEEEEWWWWWWWWWWYYYYYYYYYYYYYYYIXNNNNXXXXXXXXJJJJJJJFFFFFFFFFFFFDDTZZZZZZBBBBBBAAJAAAAAAAAMMLLLLLLLLIIIXIIIIIIIIIQQQQQQQQQQQQQQQQQQKKKKKKKK
+EEEEEEKKWWWWWWWWWYYYYYYYYYYYYYYVAZXXXXXXXXXXXXJJJJJJJFFFFFFFFFFFWDDDZZZZZZBBBBBBAPJJAAAAAAAAMLLLLLLLLIIIIIIIIIIIIIIQQQQQQQQQQQQQQQKKKKKKKKKK
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+AAOOOOOOMMDDDDDTTTTTQQRTRYRKROOOOOOOOOOOOOIIIAAAAAAAAAJJJJJVVVVVCCCCCVVVVVVVVVVVVVRRPPJZIIIIIIIIIIIIZZZZZWWWWWTWWWWBAAAHHHHHHHHHHAAAAAAAAABB
+AAOOOOOODDDDDDQQTTTQQQRYYYRRYYOOOOOOOOOOOIIIIIAAAAAAAAAJJJVVVVVCCCCCCVVVVVVVVVVVVVVVVVWUIIIIIIIIIIIIZZZZZWWWWWTTWWWBBAAHHHHHHHHHMARAAAAOAAOC
+AAAOOOOODDDDDDDQQTTQQQQYYYYYYYYOOOOOOOZOOIIIIAAAAAAAAAJJJJJVVVVCVCCCCVVVVVVVVVVVVVVVPUWUIIIIIIIIIIIIZZZZZWWWWZZZZZZZZHAHHHHHHHHHHAAOOOOOOOOC
+AAAAAOJJDJDDDDDQQQQQQQQQYYOYYYYYYOOOOZZOZIIIIAAAAAAAAAJJJJJVVVVVVCCCCVVVVVVVVVVVVVVVNUUUIIIIIIIIIUGGZZZZWWWWWZZZZZZZZHHHHHHHHHHHMCOOOOOOOOOO
+AAAAAAAJJJJDDDQQQQQQQQQQQYOYYYYYYYDOOZZOZIIIIAAAAAAAAAJJJJJJJVVVVVCCCCVVVVVVVVVVVVVVNNFUIIIIIIIIIUZZZZZZZTTWWZZZZZZZZHHHHHHHHHHHHCOOOOOOOOOO
+AAAAAAAAJJDDDDDQQQQQQQQQQOOOWOOOODDOZZZZZZIIAAAAAAAAAAJJJJJJJVJVVDDDCCCVVVVVVVVVVVVNNNNUIIIIIIIIIUUUZZZZZPTTWTTTTWWHHHHHHHHHHHHHCCCCOOOOOOOO
+AAAAAAAAAJJJDDQQQQQQQQQQOOOOOOODDDDZZZZZZZIIAAAAAAAAAAAJJJJJJJJJVDDDCCCCDKVVVVVVVVNNNNUUUUIIIIIIIUUUUZZZZTTTTITTTTWHHHHHHHHHHHHHCCCCCCCOOOOO
+AAAAAAAAAAJBBQQBBBQQQQQOOOOOOOODZDDDZZZZZZIIAAAAAAAAAAAAJJJJJJJJDDDDDDDDDDDDVVVVVNNNNNNUUUIIIIIIIUUUUUZZZTTTTTTTTTHHHHHHHHHHHHHHCCCCCCCCOOOO
+AAAAAAAAAAJBBBBBEBBBQQQOOOOOOOODZZZZZZZZZZZAAAAAAAAAAAAJJJJJJJJDDDDDDDDDDDDVVVVVNNNNNNNUUUIIIIIIIUUUUUUZTTTTTTTTTTTTHHRRHHHHHHHCCCCCCCOOOOOO
+AAAAAAAAAAJBBBBBBBBBBOOOOOOOOOOOOOZZZZOZAAAAAAAAAAAAAAAAAJJJJJDDDDDDDDDDDDDVVVVVNNNNNNNNNNIIIIIIIUUUPPPKKKKTTTTTTTTTTHRRRHCCCHCCCCCCCCOOOOOO
+AAAAAAAAAABBBBBBBBBBBOOOOOOOOOOOOOZZZZOZAOOAAAAAAAAGGGJJAJJJJJDDDDDDDDDDDDVVVVVVVVNNNNNNNNIIIIIIIUUPPPPKKKKTTTTTTTTTTTTRTTCCCFCCCCCCCCCOOOOO
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+XPPPPPPPAAJJAABAACBBYYZZZZYZYYGGGGGGGGGGGGAAZZZZZZLLBBBBBBBLLLLLBBBBBOOOOOOOOOOOOOOOOOOOOOOMMMMMMMMJJJPLZZZZZAZYYYYYYYYYYYJJJJJJBJVVVVVVVVVV
+XPPPPPPPJJJJAAAACCYBYYZYYYYYYYYGGGGGGGGGGGAAZZZZZZZZBBBBBBBLLLLLBBBBBBBBOOOOOOOOOOOOOOOOOOOMMMMMMMMMJJZZZZZZZZZYYYYYYYYYYYJJJJJJJJBVVVVVVVVV
+XPPXPPPPJJJJAAACCCYYYYZYHYHYYYHGGGGGGGGGGGAAAZZZZZZZBBBBBBBBBLLBBBBBBBBBOOOOOOOXOOOOOOOOOOOMMMMMMMMMJJZZZZZZZZZZOOOOJJJYYYJJJJJJVJBVVVVVVVVV
+XXXPPPPJJJJJJAACCYYHYYYHHHHHHHHGGGGGGGGGGGEAEZZZZZZZBBUBBBBBBBBBIIIBBBBOOOOOOOOOOOOOOOOOOOOOMMMMMMMMJJZZZZZZZZZOOOOOOJJYYYJJJJJJJJVVVVVVVVVV
+XXXPPPPPPJJJJPACCCHHHYHHHHHHHHHGGGGGGGGGGEEEEZZZZZZZZUUUUBBBUUBBBIIIBIBBBOOOOOOOOOOOOOOOOOOOMMMMMZZZZZZZZKKZZZZZOOOOCCYYYYYYJJJJJJVVVVVVVVVV
+XXXXPPPPPJJJPPAAAAHHHHHHHHHHHHYYYGGGGGEEEEEEZZZZZZZZZZUUUUUUUBBBIIIIIIIBBBOOOOMMMOOOOOOOOOYOMMMMMZZZZZZZZKKZZZZZZZOCCCYYYYYYJJJJJJVVQQVQQVVV
+XXXPPPPJJQJJPPPAAHHOHHHHHHHHHHYYYYEEWEEEEEEEEZZZZZZZZUUUUUUUUUUIIIIIIIIIBOOOOOMMMMOMOOSOOOOOOMMMMZZZZZZZZKKZZZZZZZCCCCYYYYYYJJJJJJJJOQQQVVVV
+XXXXXPPJJJJPPPPRROOOHHHHHHHHYYYYYYYEEEEEEEEEEEEZZZZUUUUUUUUUUUIIIIIIIIIIMMOOOMMMMMOMNNNOOOONNNNJEZZZZZZZZKKZZZZZZZCCCCYYYYYYJJJJJJJXQQQQQQQQ
+XXJXXJJJJJJPPPRRRROOHHHHHHHHYYYYEEEEEEEEEEEEEEEZZZZZUUUUUUIIIIIIIIIIIIBBMMOOMMMMMMMMNNNCNNNNNNJJFZZZZZZZZKKKZZZCCCCCCCYYYYYYJJJJJJJQQQQUQQQQ
+XXJJJJJJJJJPPYPVRJJHHPHHHHHHYYYYEEEEEEEEEEEEEEZZZZZZUUUUUTTIIIIIIINIIBBIMMMMMMMMMMMMNNNNNNNNNNFFFKKKKKKKKKKKZZZCCCCCCCYYYYYYJJJJJJCQQQQQQQQQ
+XXJJJJJJJJPPJPPPPPJJJPPPHHHHHYYYEEEEEEEEEEEEXPZZZZZZZZUUUTTINNNNINNKIBIIMMMMMMMMMMMMMNNNNNNNNFFFFFKKKKKKKKKKZZZCCCCCCCYYYYYYJJJJJQQQQQQQQQQQ
+XJJJJJJJPPPPPPPPPPJJJHHHHHHDHDYYYYYEEEEEEEEXXXZGGZZZZZUUUNNNNNNNNNNIIIIIMMMMMMMMMMMMNNNNNNNNNFFFFKKKKKKKKKKKKKKCCCCCCCYYYYYYYYYZZQQQQQQQQQQQ
+JJJJJJJPPPPPPPPPPJJJJJJJJHHDDDDYYYYYEEEEEEEXXGGGGEEZZZUUDNANNNNNNNAIIIIIMMMMMQMMMMMMNNNNNNNNFFFFFKKKKKKKKKKKKKKCCCCCCCYYYYYYYYYZQQQQQQQQQQQQ
+JJJJJJJJPPPPPPPPPJJJJJJJJJDDDDDYYYYEEEEEEXXXXXGGGGEEEZEUDNNNNNNNNAAAIIIIMMMMQQQQMMNNNNNNNNNNFFFFFCKKKKKKKKKKKKKKWCCCCIYYYYYYYYYZZZXQXQQQQQQQ
+JJJJJJPPPPPPPPPPPJJJJJJJJJDDDDDDDYYEEEEEEXXXXGGSEEEEEEEENNNNNNNNNVVAAIIMMMMQQQQQMMNNNNNNNNNNOFFFFFKKKKKKKKKKKUUKKUCCCCCCCZYYYYYZZZXXXXQQQQQQ
+HJJJJJPPPPPPPPPPPPPJJJJJJJJDDDDDDYYYEEEEEXXXSSSSEEEEEEEENNNNNNNNNNVAAAVVMQQQQQQQMMNNNNNNNHNNNFFFFFKKKKKKKKKKKUUUUUCCUUUUCCYYYYYXXXXXXXQQQQQQ
+HJJJJNPPPPPPPPPPFPPJJJJJJJJDDDDYYYYXXNNEXXXSSSSSEEEEEEENNNNNNNNNNVVVVAVVQQQQQQQQMNNNHHNNNHNNNFFFFFKKKKKKKKKKKUUUUUUUUUUUUUUUHZZZXXXXXQQQQQQQ
+HHJVJRPPPPPPPPPPPPPPLJJJJJJDDDLLLLXXXXXEXXXXXXXSUUUUNNNNNNNNNNNNNVVVVVVVQQQQQQQQMMMNHHHNNHHHHHHHHFHHHKKKKKKKKUUUUUUUUUUUUUHHHHHXXXXXXXQQQQQQ
+HRRRRRRPRPUPPPPPPPPLLLLJJJDDDLLLLUUUXXXXXXXXXXXXXXUUUUNNNNNNNNNNNVVVVVVVQQQQQQQQMMMMHHHHHHHHHHHHHHHHHKHHHKKKKUUUUUUUUUUUUHHHHHHHHXXXXXXXQQQQ
+HHHHRRRRRRRRRRPPPPWLLLLLLLLLDLLLLUUUVVVXXXCCCXXXXXXXKNNNNNNNNNNNNVVFVVVTTQQQQQQTMMMHHHHHHHHHHHHHHHHHHHHHHHKKUUUUUUUUUUUUUUHHHHHXXXXXHQHXQQQQ
+HRRRRRRRRRRRRRRPPBGLLLLLJLLLLLLLLULUVVVXXCCCCCXXXXXXKKNNNNNNNNNNVVVVTTTTTTTTQQQTTTMLLHHHHHHHHHHHHHQQQHHHHUKUUUUUUUUUUUUQUUHHHXXXXXXXHHHHQHAH
+RRRRRRRRRRRRRRRRPPGLLLJJJLJLLLLLLLLUVVVXCCCCCCXXXXXKKKNNNNNNNNNNVVVVTTTTTTTTTTTTTMMLLHLHHHHHHHHHHHQQQQHHHUUUUUUUUUUUUUUQUQHSXXXXXXXXXXHHHHHH
+RRRRRRRRRRRRRRRRRGGGLJJJJJJLLLLLLLVVVVVECCCCMMMMMMKKKKKKNNNNNNNNNVVTTTTTTTTTTTTTULLLLLLHHHHHHHHHQQQQQHHHUUUUUUUUUUUUUQQQQQQSXXXXXXXXXXXHHHHH
+RRRRRRRRRRRRRRRRRGGGGJJJJJJLLLLLLJVVVVVVGCCCMMMMMMKKKKKNNSSNNNNNNVTTTTTTTTTTTTTULLLLLLHHHHGGGGGHHQQQHHHHHUUUUUUUUUUUUQQQQQQSSXXXXXXXXXHHHHHH
+VRRRRRRRRRRRRRRRRGGGJJJJJJJLLLLLLJVVVVVVGCCCMMMMMMKKKKNNGSGNNNNNYYTTTTTTTTTTTTLLLLLLLLLHHHGGGGQQQQQQHQHHHUUUUUUUUUUUUQQQQQQQSXXXAXXXXXHHHHHH
+VVVRTRRRRRRRRRRRJGGGGQJJJJJJJLLLGVVVVVVGGCCCMMMMMMKKGKGGGGGGGGYYYYDTDTTTTTTTTTLLLLLLLLLHHHGGGGQQQQQQQQHHOOOOUUOOUUUUUQQQQQQQQXUAAXXMHHHHHHHH
+VRRRTTTTRFFRRJRRGGGGQQJUJJJJJJGLLGGGGVGGGGGCMMMMMMKKGGGGGGGFFFYYDDDDDDDDTTTTTTTLLLLLLLLLHHGGGGQQQQQQQQQOOOOOUUOOUOUZUQQQQPQQUUUTTTTTHHHHHHHH
+VVRAAATTYTFRYDDFGDGGQQJJJJJJGGGGGGGGGGGGGTTTTTTTMMKZGGGGFGGFFFYYDDDDDDDCTTTTTTTLLLLLLLLHHGGGGGGQQQQQQQOOOOOOOUOOOOOUGUUQQQQQUUUTTWTTKKNNHHNN
+VVUUATTTTTDDDDDDMDGGQQJJJJJJGDGGGGGGGGGGGTTTTTTTKKZZGIIIFFFFFFYDDDDDDDDDDDTTTTTLLLLLLLLGGGGGGGGQQQQQQQOOOOOOOOOOOOWUUUUUUUUUUUUUUUKKKKKNHNNN
+UUUUTTTTTQDDDDDDMDDDQQQQJJJJGDGGGGGGGGGGGTTTTTTTKKZZZIIIIFFFFDDDDDDDDDDHHHHTTTHLLLLLLLLIIGGGGGGQQQQQQOOOOOOOOOOOOOWKWWUUUUUUUUUUUUNNNNNNNNNN
+UUUUTTTTTTDDDDDDDDDDDQQJJJCCDDGGGGGGGGTTTTTTTTTTCZZZIIIIIIFFFFDDDDDDDEDHHHHTHHHHLLLLLLLLLGGGGGGQQQQOQOOOOOOOOWOOOWWWWUUUUUUUUUUUUGNNNNNNNNNN
+UUUUUTBTTTDDDDDDDDDDDDQJJJCCDDDGGDGGDGTTTTTTTTTTZZTZZIFFIFFFFFFDDDDDDDHHHHHHHHHLLLLLLLLLLGGGGGGQQQQOOOOOOOOOOWWWWWWWWUUUUUUUUUUUUNNNNNNNNNNN
+UUUUUUUTTTTDDDDDDDDDDQQQQDDDDDDGDDDDDDTTTTTTTTTTNZZZZIIFFFFFFFFFDDDDDDDHHHHHHHHHHHLLLLLGGGGGGGGGGGOOOOOOOOOOOWWWWWWWWUUUUUUUUUUUUUNNNNNNNNNN
+UUUUUUUTUUUDDDDDDDDDQQQQQQDDDDDDDDDDDDTTTTTTTTTTZZZZZFFFFFFFFFFFDFDDDZZZHHHHHHHHHHHHGGGGGGGGGGGGGOOOOOOOOOOOOOWWWWWWWWWWUUUUUUUUUNMNNNNNNNNN
+UUUUUUUUUUDQDDDDDDDDQQQQQQDDDDDDDDDDDDTTTTTTTTTTZZZZZZZFFFFFFFFFFFDDDDZZHHHHHHHHHHGGGGGGGGGGGGGGGOOOOOOOOOOOOWWWWWWWWWWUUUUUUUUUUNNNNNNNNNNN
+UUUUUUUUUDDDDDDDDDQQQQQQQDDDDDDDDDDDAZTTTTTTTTTTNZZZZFFFFFFFFFFFDDDDJJZZZHHHHFFFFFGGGGGGGGGGGGGGGOOOOOOOOOOOOOWWWWWWWWWUUUUUUUUUUUNNNNNNNNNN
+UUUUUUUDDDDDDDDDDDQQQQQQQDDDDDDDDDDDDETTTTTTTTTTNPZZZFFFFFFFFFFFFIIZZZZZZZZFFFFFFFXGGGGGGGGLGGGGGGGOOOAAOOOOOOWWWWWWWWWUUUUUUUUUDUDNNNNNNNNN
+UUUUUUUDDDDDDDDDDQQQQQQQQQDDDDDDDDDDDEEEVVVVVVVNNPZZZFFFFFFFFFFFDIDZZZZZZZZIIIIIIFXXXXGGGGGLLGGGGGOOOOOAOOOOOOOWWWWWWWUUUUUUUUDDDDDNNNNNNNNN
+UUUUUUUDDDDDDDDQQQQQQQQQQVVVDDDDDDDDEEEEVVVVHHPNPPPZZZZFFFFFFFWWDDDZZZZZZZZZIIIIIIJXXJJGJJLLLLGGLGGOWWFAOAOOAOWWWWWWWWWWUUUUUUDDDDDDNNNNNNNN
+UUUUUUUUDIDDDDDQQQQQQQQQQQVDDDDDDDDDDDEEEEVVVHPPPPPZZZZFZZZZZZWWDDDDDZZZZZZZIIIIIIJJJJJJJJLLLLLGLGGOWWFFFAAAAAWWWWWWWWWWUUZZUUUDDDDDDNNCNNNH
+UUUUUUUUPDDDDDJJQQQQQQQVVVVDDDDDDDDDDEEEEEEVGPPPPPPZPZZFZZZZZWNWWWDDDDZZZZZZIIIIIIIJJIIILLLLLLLLLGLOWFFFFAAAAAWWWWWWWWWWWUZZUDDDDDDDDDNNNNNN
+UUUUUUUUUDDDDDJJJQQQQQQQQQQQDTDDDDDDDDEEEEEPPPPPPPPPPPZZZZZZZWWWWWDDDDDZZZZZZNIIIIIIIIICCLLLLLLLLLLBFFFFFFFAAEWWWWWWWWWZZZZZZDDDDDDDDDDNNNNN
+UUUUGGUUEEDDDDJJJJJJJQQQQQQQQDDDQDDDDEEEEEEEKPPPPPPPPPPZZZZWWWWPWDDDDDDZZZZZZNNIIIIIIILLLLLLLLLLLLLLFFFFFFFFFEWWWWWWWWWZZZZZDDDDDDDDDDDNNNNN
+UUGUGGGEEEDJJJJJJJJJJJQQQQQQQDDDQQDDEEEEEEEEPPPPPPPPPPPZZWWWWWWWWDWDDDDZZZZZNNNNNIIIIILLLLLLLLLLLLLLLGFFFFFFEEEEEEWWWWZZQZZZDDDDDDDNNDNNNNNN
+UGGGGGGGEEEJJJJJJJJJJJQQQQQQQQDQQQEEEEEEEEEEPPPPPPPPPPZZZWWWWWWWWWWWDDDZZZZINNNIIIIIIILLLLLLLLLLLLMGGGFEEEEEEEEEEWWWWWWZZZZZZDDDDNNNNNNNNNNN
+UGGGGGGGGEJJJJJJJJQJQQQQQQQQQQQQQEEEEEEEEPPPPPPPPPPPPZZZZWWWWWWWWWWWDDZZNNNINNIIIIIIIILLGHLLLLLLLLLGGEEEEEEEEEEEEWWWWWZZZZZZZDDDDNNNNNNNNNNN
+UGGGGGGGGGQJJJJJJJQQQQQQQQQQQQQQQQEEYEEYYYOPPPPPPPPPZZZWWWWWWWWWWWWWDDDNNNNNNNNIIINIIIIAGLLLLLLLLLLLGEEEEEEEEEEECPPPZZZZZZZZZDDNNNNNNNNNNNNN
+SGGGGGGGGGJJJJJJJJQGQQQQQQQQQQQQQQQYYYYYYYYPYPPPBPZZZZZZWWWWWWWWWWWWNNNNNNNNNNNNNINIIIIGGLGGLLLLLLGGGGEEEEEEEEEECCPPPPPPZZZOZDNNNNNNNNNNNNNN
+GGGGGGGGGGAJJJJJJJJQQQQQQQQQQQQQQQQYYYYYYYYYYPPPPZZZZZZZZZWWWWWWWWWRRRNNNNNNNNNNNNNIGIIIGGGLLLLGGGGGGEEEEEEEEEMMPCPPPPPPPPZZPPPPNNNNNNNNNNNN
+GGGGGGGGGGGGJLJJJJJJDQQQTTTQQQQQQQQYYYYYYYYYYPYPYZZZZZZZZZZZWWWWWWWRRRNNNNNNNNNVVGGGGGGGGGGGLLGGGGGGGRNEEEEEEEMMPPPQPPPPPPPPPPPUNNNNNNNNNNNN
+GGGGGGGGGGGGLLJJJJJTTDTQTTTQQQQQQEEEEEYYYYYYYYYYYYZZZZJZZWWWWWWWWWWRRRNNNNNNNNNNNRLLGGGGGGGGGGGGGGRRRRRREKKEEEMMPPPPPPPPPPPPPPPPZZZZZNNNNNNN
+GGGGGGGGGGGGLYPPJJTTTTTTTQQQQQQQQEEEEEYYYYYYYYYYYYZZJJJJJJMWWWWWWWWWRRRRRNNNNRRRRRLLLGLGGGGGGGGGGGGRRRREEKKKKKKKUUPBPPPPPPPPZZZZZZZZNNNNNNNN
+GGGGGGGGGGGGYYPPJJTTTTTTTTTTQQQQQEEEEEYPYYYYYYYYYZZZJJJJJJMMMWWWWWWWRRRRRRRRRRRRRLLLLLLGGGGGGGGGGGGRRRRRERKKKKKKKUPBBPPPPPPPZZZZZZZZZNNNNNNN
+GGGGGGGGGGGYYYYYJJTTTTTTTTTQQQQQEOEEEEEYYYYYYYYYYZZZQJJJJJJJMWWWWWWWRRRRRRRRRRRRRLPLLLLLGGGGGGGGGGGRRERRRRRKKKKKKPPPPPPPPPPPZZZZZPZPPPPPNNNN
+GGGGGGGGGGGYYYYYYJPTTTTTTTTTQQQQEEEEEEEYYYYYYYYYYYZJJJJJJJJJWWWWWRRWRRRRRRRRRRRRRLLLLLLLLGGGGGGGGGGGGRRRRRRRTKKKKPPPPPPPPPPPZZZZPPPPPPPPNNPP
+GGGGGGGGGGYYYYYYYTTTTTTTTTTQQQQQEQEEEEEYYYYYYYYYYYZJJJJJJJJJJJWWRRRRRRRRRRRRRRRRRRRRLLLLLGGGGGGGGGGRRRRRRRRTTTTKTTPRPPPPPPPPZZFZPPPPPPPPNPPP
+GGGGGGGGGGKKKKKKKKTTTTTTTTQQQQQQQQEYEEHHHHHHYYYYYYJJJJJJJJJJJJJRRRRRRRRRRRRRRRRRRRRRLLLLGGGGGGGGGGGGGRRRRRRRTTTTTTTPPPPPPPPRZZFZPPPPPPPPPPPP

src/holt59/aoc/inputs/holt59/2024/day14.txt

@@ -0,0 +1,500 @@
+p=99,12 v=19,18
+p=90,98 v=47,-52
+p=86,3 v=82,-13
+p=13,8 v=-67,-47
+p=36,45 v=28,65
+p=71,35 v=-8,-62
+p=75,8 v=-30,-21
+p=3,46 v=-38,-96
+p=1,89 v=78,18
+p=47,59 v=-63,99
+p=92,78 v=68,48
+p=42,31 v=78,94
+p=75,29 v=9,83
+p=46,12 v=-29,48
+p=80,16 v=-70,33
+p=18,66 v=57,-97
+p=60,12 v=89,-90
+p=21,36 v=-41,-78
+p=75,53 v=52,-62
+p=18,79 v=45,51
+p=20,29 v=63,-97
+p=22,68 v=23,1
+p=6,67 v=-24,-44
+p=44,35 v=-54,29
+p=33,80 v=28,-56
+p=48,78 v=55,-22
+p=88,79 v=99,69
+p=12,96 v=-50,-59
+p=6,57 v=80,61
+p=98,31 v=-77,14
+p=91,65 v=-13,20
+p=52,53 v=-85,41
+p=94,94 v=-15,5
+p=69,75 v=-41,-11
+p=98,77 v=71,-54
+p=23,47 v=-61,-27
+p=32,74 v=-11,96
+p=22,87 v=-5,-75
+p=65,22 v=26,71
+p=1,67 v=13,69
+p=32,96 v=-90,-94
+p=17,17 v=-5,71
+p=57,85 v=-92,28
+p=52,32 v=-41,69
+p=13,85 v=-43,-83
+p=51,39 v=-38,32
+p=64,17 v=91,82
+p=97,86 v=-69,-70
+p=98,94 v=46,-21
+p=43,31 v=61,-24
+p=42,58 v=-51,-42
+p=5,46 v=-4,91
+p=65,52 v=10,50
+p=23,6 v=-42,29
+p=54,25 v=4,44
+p=5,19 v=-77,-74
+p=44,77 v=-23,-26
+p=10,70 v=6,-72
+p=38,101 v=-50,-36
+p=9,49 v=35,72
+p=64,14 v=77,-78
+p=21,2 v=-67,-6
+p=34,97 v=-73,-37
+p=77,13 v=-30,60
+p=50,40 v=83,-58
+p=99,85 v=-59,-87
+p=65,0 v=-76,-48
+p=44,94 v=-45,34
+p=5,59 v=92,35
+p=73,100 v=93,-71
+p=50,20 v=-74,-97
+p=9,33 v=-10,-89
+p=54,49 v=-46,99
+p=99,100 v=92,51
+p=84,94 v=-53,-45
+p=92,13 v=-61,69
+p=19,52 v=56,-12
+p=20,52 v=-38,-90
+p=98,12 v=99,-22
+p=46,23 v=95,-32
+p=84,100 v=-70,70
+p=19,69 v=58,-52
+p=77,67 v=-51,31
+p=11,6 v=18,-67
+p=11,22 v=-50,-82
+p=73,43 v=25,79
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+p=22,60 v=-46,15
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+p=71,41 v=-23,45
+p=74,1 v=-70,32
+p=96,17 v=-37,95
+p=39,45 v=-6,-23
+p=46,4 v=61,55
+p=41,100 v=-35,-10
+p=65,75 v=-1,-26
+p=8,21 v=7,-32
+p=43,71 v=-12,73
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+p=73,7 v=31,-89
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+p=54,83 v=-46,-75
+p=13,66 v=-24,-98
+p=67,13 v=21,-21
+p=1,33 v=24,-66
+p=71,27 v=54,-78
+p=69,86 v=42,35
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+p=92,19 v=25,-68
+p=92,84 v=-31,16
+p=32,26 v=-6,54
+p=20,97 v=-16,36
+p=1,102 v=13,9
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+p=92,44 v=-20,30
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+p=30,69 v=-75,-46
+p=51,64 v=-73,68
+p=53,29 v=-57,-61
+p=14,100 v=-15,86
+p=80,41 v=-20,-81
+p=5,92 v=-60,1
+p=91,10 v=-49,98
+p=0,62 v=-79,9
+p=40,1 v=3,-70
+p=81,32 v=-53,41
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+p=73,83 v=-59,-65
+p=74,67 v=-8,-99
+p=71,45 v=-58,60
+p=35,29 v=-51,-92
+p=68,15 v=-92,-55
+p=74,3 v=26,30
+p=67,25 v=-58,22
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+p=29,69 v=45,23
+p=48,78 v=-23,-29
+p=41,13 v=-45,-78
+p=57,8 v=-3,26
+p=45,53 v=45,4
+p=37,23 v=-62,41
+p=41,90 v=-35,55
+p=88,96 v=53,-71
+p=38,15 v=-90,71
+p=62,20 v=4,-88
+p=64,19 v=15,-85
+p=96,61 v=10,81
+p=19,81 v=57,-45
+p=53,11 v=67,44
+p=51,83 v=66,85
+p=29,76 v=-84,-26
+p=63,23 v=-13,14
+p=23,51 v=-18,-52
+p=23,41 v=73,-55
+p=99,75 v=-32,-14
+p=68,20 v=79,45
+p=27,74 v=45,42
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+<>>>^v<<>^<<v<>^<>>><^v<<<>^<^<<vvv>^<v><>^vv^<<>v^vvv<<^v><>^v>^v><v<>>>^vv^v<vvv>^<>^<v<^^<>vvv<<^>v^^^v^>>^vv>^vv>^^>>>^<v<^v<vv>^>v>v<v<>><vv<^v>^^^vvv^^vv<>^<v><^>^<^>>v>><>><^v>^>^>^^<<vv>v>v>>^<^><<^<v<<<^<v><<^v^><^><v^^<^^<<<><>>^v><^^<<>>v^^<^v><^<v>v><>><>v<>^v^<<>>v^<>><<^<<v>^<^>v<v<vv<<v><<^<<>>v>>^>v<v^><^>^><<<><v<<<^^>vv<v^^vv^>>><v^<>v>^v<<><^<^<<>>>^vv^>^^<<<<vv>v>^^<><><^>>v>v>v>v<><vvv^>>^<>v^<^v^>v^<<><vv^>^^vvv<<<<v>^<vv<<>>>v^v^v^<><<v^<^<>><^^vv^v><v^vv<<^^<v^<>v><^><v^<>^^>^<<>vv<^><>^vv>><v>v><><<vv<v>>^><<^^><^>^vv>^v^><>v>v<>^<<v<<>^>><>v^vv>vvv>v>v>v^v^>^<vv>^<<v>^>v<^vvvv<<^^v<^^<>v<>v^>>v^v^<^v>v>><<<^v>v><vvvv<v>^<^<<<><>v>v<<^>><^vvv><<>^<>>vv>^>^<v>>>vv^<v^>><><^vv>v>v<^^><<<<<<v>^v>v>^^<v>v><<v^^v^vv>>><^v<<<v^v<<>><>^v<>>^<^v^^vv>>>^>v>^vv<<vv>^><^<>>vv>>^^<^><^^>><v^vv^<v^>vv<v<vvv>>vv^v<<>v^>><<vv>><^<>v>vv>^<v>^^>>v><<><^<>><><>^^^^v><^>^^<v^<>v>^^<^<v<vv^^^<>>v^vv^>>^^^vv<<>^^>>^v>>>>^><^^<^<v<>>><v<^<^>vv^v>^^^v^>><>vv><v<>^>>^<<v^v^v^^vv^<v>^<
+><<vv<v^^^<>>>^>v>^<^^^<v<vv<^^<>><^<>><^>><<>v<^>v^><<^><>><<v^>^<<v><^>v>><vv<^v>><>v<<^^v>v><>>><^>v>>^v>>^v<>v>><v^<v<<>>>>^v><<v>^<>>v^^v><>^v<v>>v><^^<vv<<<v><^><><<><^><v^^>v^>>^<<>^v<<^^^v^<<<><^^<><vv<>>^>^>^^>>^><>>v>v><v^>><<v^v<>^v>^^^^<^>>>>vvv>v^v>v>^<>v>v<v>>>^vv<>^><v>^<^<v<<<<>vv^v<v<v^<>^>^^^><>v^^^>v^<>>^vvv^^<>>>^<<<vv>>^v<><^>vv>v^^^<v^>>v>^v>v^>vv>vv>>>vv^vv>>v<>v^vv<v<^><^v^><^vvv^vv<vv^>vvvv<vvv><><>><^<<<^>vv^>>>v<<>v><<^>v^<<<><v<<^^<><<<><<^><>v<><<>v<^v<^^v^^>>><<^vvv<<>>^>><<vv<v<^<<^<^<<<>><<v>^v<>^^^>>>^^<^^^v^^v<<^^v^>v^<<^<>^><>^v>>>^^vvvv>v^<v^<^<v<>><v^^>>v^v^^v^^><v^^^^^^v^v><^<><><<^<vvv^><vv^<<^<v<v<^^^^><>^vvv<v>>>v<v<<v^>v>vv<>^>><<v<v<v^^^>v<<>v<><v>v>><><<v><<^^^v>^vvv>^<^>^v<<>>^><>>v><><^v<v<<^v^<<v^v>v^^<^v>>^v^v>^^^<<<<>v^>>vv<vv<<><>>^^^v^v^^^><><v<><v<<v><<v>vvv>>^^<v>v^^>^><<v<v>>>vv<>^<>^>>v>>^>v>^v>^v>>vv<^<>v>>vv<<v><>^^>><>vv<<><<^>v>>^>><>><<>v><<v>><v^<>v<>>>>v<<v>>v^>^<^>>^<>^v<<vv^<<^v>>v<>v>^>v>>^<>^<vv><^v><>^<<v>^v^^^v>^>v>^^v
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src/holt59/aoc/inputs/holt59/2024/day16.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

@@ -0,0 +1,402 @@
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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/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

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+5483143223
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src/holt59/aoc/inputs/tests/2021/day12.txt

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+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

src/holt59/aoc/inputs/tests/2024/day11.txt

@@ -0,0 +1 @@
+125 17

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

@@ -0,0 +1,10 @@
+RRRRIICCFF
+RRRRIICCCF
+VVRRRCCFFF
+VVRCCCJFFF
+VVVVCJJCFE
+VVIVCCJJEE
+VVIIICJJEE
+MIIIIIJJEE
+MIIISIJEEE
+MMMISSJEEE

src/holt59/aoc/inputs/tests/2024/day13.txt

@@ -0,0 +1,15 @@
+Button A: X+94, Y+34
+Button B: X+22, Y+67
+Prize: X=8400, Y=5400
+
+Button A: X+26, Y+66
+Button B: X+67, Y+21
+Prize: X=12748, Y=12176
+
+Button A: X+17, Y+86
+Button B: X+84, Y+37
+Prize: X=7870, Y=6450
+
+Button A: X+69, Y+23
+Button B: X+27, Y+71
+Prize: X=18641, Y=10279

src/holt59/aoc/inputs/tests/2024/day14.txt

@@ -0,0 +1,12 @@
+p=0,4 v=3,-3
+p=6,3 v=-1,-3
+p=10,3 v=-1,2
+p=2,0 v=2,-1
+p=0,0 v=1,3
+p=3,0 v=-2,-2
+p=7,6 v=-1,-3
+p=3,0 v=-1,-2
+p=9,3 v=2,3
+p=7,3 v=-1,2
+p=2,4 v=2,-3
+p=9,5 v=-3,-3

src/holt59/aoc/inputs/tests/2024/day15.txt

@@ -0,0 +1,21 @@
+##########
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+#.OO..O.O#
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+#O#..O...#
+#O..O..O.#
+#.OO.O.OO#
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+##########
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+vvv<<^>^v^^><<>>><>^<<><^vv^^<>vvv<>><^^v>^>vv<>v<<<<v<^v>^<^^>>>^<v<v
+><>vv>v^v^<>><>>>><^^>vv>v<^^^>>v^v^<^^>v^^>v^<^v>v<>>v^v^<v>v^^<^^vv<
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+^><^><>>><>^^<<^^v>>><^<v>^<vv>>v>>>^v><>^v><<<<v>>v<v<v>vvv>^<><<>^><
+^>><>^v<><^vvv<^^<><v<<<<<><^v<<<><<<^^<v<^^^><^>>^<v^><<<^>>^v<v^v<v^
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+v^^>>><<^^<>>^v^<v^vv<>v^<<>^<^v^v><^<<<><<^<v><v<>vv>>v><v^<vv<>v^<<^

src/holt59/aoc/inputs/tests/2024/day16.txt

@@ -0,0 +1,15 @@
+###############
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+#.#.#.###.#.#.#
+#.....#...#.#.#
+#.###.#.#.#.#.#
+#S..#.....#...#
+###############

src/holt59/aoc/inputs/tests/2024/day16_p1v2.txt

@@ -0,0 +1,17 @@
+#################
+#...#...#...#..E#
+#.#.#.#.#.#.#.#.#
+#.#.#.#...#...#.#
+#.#.#.#.###.#.#.#
+#...#.#.#.....#.#
+#.#.#.#.#.#####.#
+#.#...#.#.#.....#
+#.#.#####.#.###.#
+#.#.#.......#...#
+#.#.###.#####.###
+#.#.#...#.....#.#
+#.#.#.#####.###.#
+#.#.#.........#.#
+#.#.#.#########.#
+#S#.............#
+#################

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

@@ -0,0 +1,5 @@
+Register A: 729
+Register B: 0
+Register C: 0
+
+Program: 0,1,5,4,3,0

src/holt59/aoc/inputs/tests/2024/day17_p2.txt

@@ -0,0 +1,5 @@
+Register A: 2024
+Register B: 0
+Register C: 0
+
+Program: 0,3,5,4,3,0

src/holt59/aoc/inputs/tests/2024/day18.txt

@@ -0,0 +1,25 @@
+5,4
+4,2
+4,5
+3,0
+2,1
+6,3
+2,4
+1,5
+0,6
+3,3
+2,6
+5,1
+1,2
+5,5
+2,5
+6,5
+1,4
+0,4
+6,4
+1,1
+6,1
+1,0
+0,5
+1,6
+2,0

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

@@ -0,0 +1,10 @@
+r, wr, b, g, bwu, rb, gb, br
+
+brwrr
+bggr
+gbbr
+rrbgbr
+ubwu
+bwurrg
+brgr
+bbrgwb

src/holt59/aoc/inputs/tests/2024/day20.txt

@@ -0,0 +1,15 @@
+###############
+#...#...#.....#
+#.#.#.#.#.###.#
+#S#...#.#.#...#
+#######.#.#.###
+#######.#.#...#
+#######.#.###.#
+###..E#...#...#
+###.#######.###
+#...###...#...#
+#.#####.#.###.#
+#.#...#.#.#...#
+#.#.#.#.#.#.###
+#...#...#...###
+###############

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

@@ -0,0 +1,5 @@
+029A
+980A
+179A
+456A
+379A

src/holt59/aoc/inputs/tests/2024/day22.txt

@@ -0,0 +1,4 @@
+1
+10
+100
+2024

src/holt59/aoc/inputs/tests/2024/day22_p2.txt

@@ -0,0 +1,4 @@
+1
+2
+3
+2024

src/holt59/aoc/inputs/tests/2024/day23.txt

@@ -0,0 +1,32 @@
+kh-tc
+qp-kh
+de-cg
+ka-co
+yn-aq
+qp-ub
+cg-tb
+vc-aq
+tb-ka
+wh-tc
+yn-cg
+kh-ub
+ta-co
+de-co
+tc-td
+tb-wq
+wh-td
+ta-ka
+td-qp
+aq-cg
+wq-ub
+ub-vc
+de-ta
+wq-aq
+wq-vc
+wh-yn
+ka-de
+kh-ta
+co-tc
+wh-qp
+tb-vc
+td-yn

src/holt59/aoc/inputs/tests/2024/day9.txt

@@ -0,0 +1 @@
+2333133121414131402

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

@@ -0,0 +1,5 @@
+Register A: 27575648
+Register B: 0
+Register C: 0
+
+Program: 2,4,1,2,7,5,4,1,1,3,5,5,0,3,3,0

src/holt59/aoc/tools/graphs.py

@@ -0,0 +1,186 @@
+import heapq
+from typing import (
+    Callable,
+    Iterable,
+    Iterator,
+    Mapping,
+    TypeVar,
+    cast,
+    overload,
+)
+
+_Node = TypeVar("_Node")
+
+
+def make_neighbors_grid_fn(
+    rows: int | Iterable[int],
+    cols: int | Iterable[int],
+    excluded: Iterable[tuple[int, int]] = set(),
+    diagonals: bool = False,
+):
+    """
+    Create a neighbors function suitable for graph function for a simple grid.
+
+    Args:
+        rows: Rows of the grid. If an int is specified, the rows are assumed to be
+            numbered from 0 to rows - 1, otherwise the iterable should contain the list
+            of valid rows.
+        cols: Columns of the grid. If an int is specified, the columns are assumed to be
+            numbered from 0 to cols - 1, otherwise the iterable should contain the list
+            of valid columns.
+        excluded: Cells of the grid that cannot be used as valid nodes for the graph.
+        diagonals: If True, neighbors will include diagonal cells, otherwise, only
+            horizontal and vertical neighbors will be included.
+
+    """
+    ds = ((-1, 0), (0, 1), (1, 0), (0, -1))
+    if diagonals:
+        ds = ds + ((-1, -1), (-1, 1), (1, -1), (1, 1))
+
+    if isinstance(rows, int):
+        rows = range(rows)
+    elif not isinstance(rows, range):
+        rows = set(rows)
+
+    if isinstance(cols, int):
+        cols = range(cols)
+    elif not isinstance(cols, range):
+        cols = set(cols)
+
+    excluded = set(excluded)
+
+    def _fn(node: tuple[int, int]):
+        return (
+            ((row_n, col_n), 1)
+            for dr, dc in ds
+            if (row_n := node[0] + dr) in rows
+            and (col_n := node[1] + dc) in cols
+            and (row_n, col_n) not in excluded
+        )
+
+    return _fn
+
+
+@overload
+def dijkstra(
+    start: _Node,
+    target: None,
+    neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
+) -> dict[_Node, tuple[tuple[_Node, ...], float]]: ...
+
+
+@overload
+def dijkstra(
+    start: _Node,
+    target: _Node,
+    neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
+) -> tuple[tuple[_Node, ...], float] | None: ...
+
+
+def dijkstra(
+    start: _Node,
+    target: _Node | None,
+    neighbors: Callable[[_Node], Iterable[tuple[_Node, float]]],
+) -> (
+    dict[_Node, tuple[tuple[_Node, ...], float]]
+    | tuple[tuple[_Node, ...], float]
+    | None
+):
+    """
+    Solve shortest-path problem using simple Dijkstra algorithm from start to target,
+    using the given neighbors function.
+
+    Args:
+        start: Starting node of the path.
+        target: Target node for the path.
+        neighbors: Function that should return, for a given node, the list of
+            its neighbors with the cost to go from the node to the neighbor.
+
+    Returns:
+        One of the shortest-path from start to target with its associated cost, if one
+        is found, otherwise None.
+    """
+    queue: list[tuple[float, _Node, tuple[_Node, ...]]] = [(0, start, (start,))]
+    preds: dict[_Node, tuple[tuple[_Node, ...], float]] = {}
+
+    while queue:
+        dis, node, path = heapq.heappop(queue)
+
+        if node in preds:
+            continue
+
+        preds[node] = (path, dis)
+
+        if node == target:
+            break
+
+        for neighbor, cost in neighbors(node):
+            if neighbor in preds:
+                continue
+
+            heapq.heappush(queue, (dis + cost, neighbor, path + (neighbor,)))
+
+    if target is None:
+        return preds
+
+    return preds.get(target, None)
+
+
+def iter_max_cliques(
+    neighbors: Mapping[_Node, Iterable[_Node]], nodes: Iterable[_Node] | None = None
+) -> Iterator[list[_Node]]:
+    """
+    Find max cliques from the given set of neighbors containing the given set of nodes.
+
+    This is simply the networkx implementation with typing (and using a simple mapping
+    to avoid requiring networkx).
+    """
+    if len(neighbors) == 0:
+        return
+
+    # remove the node itself from the neighbors
+    adj = {u: {v for v in neighbors[u] if v != u} for u in neighbors}
+
+    # Initialize Q with the given nodes and subg, cand with their nbrs
+    Q: list[_Node | None] = list(nodes or [])
+    cand = set(neighbors)
+    for node in Q:
+        if node not in cand:
+            raise ValueError(f"The given `nodes` {nodes} do not form a clique")
+        cand &= adj[node]
+
+    if not cand:
+        yield cast(list[_Node], Q[:])
+        return
+
+    subg = cand.copy()
+    stack: list[tuple[set[_Node], set[_Node], set[_Node]]] = []
+    Q.append(None)
+
+    u = max(subg, key=lambda u: len(cand & adj[u]))
+    ext_u = cand - adj[u]
+
+    try:
+        while True:
+            if ext_u:
+                q = ext_u.pop()
+                cand.remove(q)
+                Q[-1] = q
+                adj_q = adj[q]
+                subg_q = subg & adj_q
+                if not subg_q:
+                    yield cast(list[_Node], Q[:])
+                else:
+                    cand_q = cand & adj_q
+                    if cand_q:
+                        stack.append((subg, cand, ext_u))
+                        Q.append(None)
+                        subg = subg_q
+                        cand = cand_q
+                        u = max(subg, key=lambda u: len(cand & adj[u]))
+                        ext_u = cand - adj[u]
+            else:
+                Q.pop()
+                subg, cand, ext_u = stack.pop()
+    except IndexError:
+        pass

src/holt59/aoc/tools/math.py

@@ -0,0 +1,21 @@
+def pow_mod(b: int, e: int, m: int):
+    """
+    Compute (b ** e) % m using right-to-left binary method.
+
+    See https://en.wikipedia.org/wiki/Modular_exponentiation.
+
+    Args:
+        b: Base to exponentiate.
+        e: Exponent.
+        m: Modulus.
+
+    Returns:
+        (b ** e) % m.
+    """
+    r = 1
+    while e > 0:
+        if e % 2 == 1:
+            r = (r * b) % m
+        e >>= 1
+        b = (b * b) % m
+    return r

src/holt59/aoc/utils/api/__init__.py

@@ -0,0 +1,13 @@
+from .answer import dump_answer
+from .base import dump_api_message
+from .files import FileHandlerAPI
+from .logger import LoggerAPIHandler
+from .progress import ProgressAPI
+
+__all__ = [
+    "dump_answer",
+    "dump_api_message",
+    "FileHandlerAPI",
+    "LoggerAPIHandler",
+    "ProgressAPI",
+]

src/holt59/aoc/utils/api/answer.py

@@ -0,0 +1,16 @@
+from datetime import timedelta
+from typing import Any
+
+from .base import dump_api_message
+
+
+def dump_answer(part: int, answer: Any, answer_time: timedelta, total_time: timedelta):
+    dump_api_message(
+        "answer",
+        {
+            "answer": part,
+            "value": str(answer),
+            "answerTime_s": answer_time.total_seconds(),
+            "totalTime_s": total_time.total_seconds(),
+        },
+    )

src/holt59/aoc/utils/api/base.py

@@ -0,0 +1,28 @@
+import json
+import sys
+from datetime import datetime
+from typing import Any, Literal, TextIO
+
+
+def _datetime_formatter(value: Any) -> Any:
+    if isinstance(value, datetime):
+        return value.isoformat()
+    else:
+        return value
+
+
+def dump_api_message(
+    type: Literal[
+        "log", "answer", "file", "progress-start", "progress-step", "progress-end"
+    ],
+    content: Any,
+    file: TextIO = sys.stdout,
+):
+    print(
+        json.dumps(
+            {"type": type, "time": datetime.now(), "content": content},
+            default=_datetime_formatter,
+        ),
+        flush=True,
+        file=file,
+    )

src/holt59/aoc/utils/api/files.py

@@ -0,0 +1,23 @@
+import os
+from pathlib import Path
+from typing import Final
+
+from ...base import FileHandler
+from .base import dump_api_message
+
+
+class FileHandlerAPI(FileHandler):
+    def __init__(self, folder: Path):
+        self.folder: Final = folder
+
+    def make_path(self, filename: str) -> Path:
+        return self.folder.joinpath(filename)
+
+    def notify_created(self, path: Path):
+        dump_api_message("file", {"filename": path.name, "size": os.stat(path).st_size})
+
+    def _create(self, path: Path, content: bytes, text: bool = False):
+        self.folder.mkdir(exist_ok=True)
+        with open(path, "wb") as fp:
+            fp.write(content)
+        return path

src/holt59/aoc/utils/api/logger.py

@@ -0,0 +1,16 @@
+import logging.handlers
+import sys
+from typing import TextIO
+
+from .base import dump_api_message
+
+
+class LoggerAPIHandler(logging.Handler):
+    def __init__(self, output: TextIO = sys.stdout):
+        super().__init__()
+        self.output = output
+
+    def emit(self, record: logging.LogRecord):
+        dump_api_message(
+            "log", {"level": record.levelname, "message": record.getMessage()}
+        )

src/holt59/aoc/utils/api/progress.py

@@ -0,0 +1,57 @@
+import sys
+from datetime import datetime, timedelta
+from typing import Iterable, Iterator, Sequence, TextIO, TypeVar
+
+from .base import dump_api_message
+
+_T = TypeVar("_T")
+
+
+class ProgressAPI:
+    def __init__(
+        self,
+        min_step: int = 1,
+        min_time: timedelta = timedelta(milliseconds=100),
+        output: TextIO = sys.stdout,
+    ):
+        super().__init__()
+
+        self.counter = 0
+        self.output = output
+        self.min_step = min_step
+        self.min_time = min_time
+
+    def wrap(
+        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
+    ) -> Iterator[_T]:
+        total = total or len(values)  # type: ignore
+
+        current = self.counter
+        self.counter += 1
+
+        dump_api_message("progress-start", {"counter": current, "total": total})
+
+        try:
+            percent = 0
+            time = datetime.now()
+
+            for i_value, value in enumerate(values):
+                yield value
+
+                if datetime.now() - time < self.min_time:
+                    continue
+
+                time = datetime.now()
+
+                c_percent = round(i_value / total * 100)
+
+                if c_percent >= percent + self.min_step:
+                    dump_api_message(
+                        "progress-step", {"counter": current, "percent": c_percent}
+                    )
+                    percent = c_percent
+        finally:
+            dump_api_message(
+                "progress-end",
+                {"counter": current},
+            )

src/holt59/aoc/utils/files.py

@@ -0,0 +1,26 @@
+import logging
+from pathlib import Path
+from typing import Final
+
+from ..base import FileHandler
+
+
+class SimpleFileHandler(FileHandler):
+    def __init__(self, logger: logging.Logger, folder: Path):
+        self.logger: Final = logger
+        self.folder: Final = folder
+
+    def make_path(self, filename: str) -> Path:
+        return self.folder.joinpath(filename)
+
+    def notify_created(self, path: Path): ...
+
+    def _create(self, path: Path, content: bytes, text: bool = False):
+        if text:
+            for line in content.decode("utf-8").splitlines():
+                self.logger.info(line)
+        else:
+            self.folder.mkdir(exist_ok=True)
+            with open(path, "wb") as fp:
+                fp.write(content)
+            return path

src/holt59/aoc/utils/progress.py

@@ -0,0 +1,19 @@
+from typing import Iterable, Iterator, Sequence, TypeVar
+
+_T = TypeVar("_T")
+
+
+class ProgressTQDM:
+    def wrap(
+        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
+    ) -> Iterator[_T]:
+        from tqdm import tqdm
+
+        return iter(tqdm(values, total=total))
+
+
+class ProgressNone:
+    def wrap(
+        self, values: Sequence[_T] | Iterable[_T], total: int | None = None
+    ) -> Iterator[_T]:
+        return iter(values)