Ugly day 22.

.drone.yml

@@ -1,12 +0,0 @@
----
-kind: pipeline
-type: docker
-name: default
-
-steps:
-  - name: tests
-    image: python:3.10-slim
-    commands:
-      - pip install poetry
-      - poetry install
-      - poetry run poe lint

.gitignore

@@ -1,7 +1 @@
-# python / VS Code
 venv
-__pycache__
-.ruff_cache
-.vscode
-build
-files

2021/day5.py

@@ -0,0 +1,52 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+from collections import defaultdict
+
+import numpy as np
+
+lines: list[str] = sys.stdin.read().splitlines()
+
+sections: list[tuple[tuple[int, int], tuple[int, int]]] = [
+    (
+        (
+            int(line.split(" -> ")[0].split(",")[0]),
+            int(line.split(" -> ")[0].split(",")[1]),
+        ),
+        (
+            int(line.split(" -> ")[1].split(",")[0]),
+            int(line.split(" -> ")[1].split(",")[1]),
+        ),
+    )
+    for line in lines
+]
+
+np_sections = np.array(sections).reshape(-1, 4)
+
+x_min, x_max, y_min, y_max = (
+    min(np_sections[:, 0].min(), np_sections[:, 2].min()),
+    max(np_sections[:, 0].max(), np_sections[:, 2].max()),
+    min(np_sections[:, 1].min(), np_sections[:, 3].min()),
+    max(np_sections[:, 1].max(), np_sections[:, 3].max()),
+)
+
+counts_1 = np.zeros((y_max + 1, x_max + 1), dtype=int)
+counts_2 = counts_1.copy()
+
+for (x1, y1), (x2, y2) in sections:
+
+    x_rng = range(x1, x2 + 1, 1) if x2 >= x1 else range(x1, x2 - 1, -1)
+    y_rng = range(y1, y2 + 1, 1) if y2 >= y1 else range(y1, y2 - 1, -1)
+
+    if x1 == x2 or y1 == y2:
+        counts_1[list(y_rng), list(x_rng)] += 1
+        counts_2[list(y_rng), list(x_rng)] += 1
+    elif abs(x2 - x1) == abs(y2 - y1):
+        for i, j in zip(y_rng, x_rng):
+            counts_2[i, j] += 1
+
+answer_1 = (counts_1 >= 2).sum()
+print(f"answer 1 is {answer_1}")
+
+answer_2 = (counts_2 >= 2).sum()
+print(f"answer 2 is {answer_2}")

2022/day1.py

@@ -0,0 +1,20 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+lines = sys.stdin.readlines()
+
+# we store the list of calories for each elf in values, and we use the last element
+# of values to accumulate
+values: list[int] = [0]
+for line in lines:
+    if not line.strip():
+        values = values + [0]
+    else:
+        values[-1] += int(line.strip())
+
+# part 1
+print(f"answer 1 is {max(values)}")
+
+# part 2
+print(f"answer 2 is {sum(sorted(values)[-3:])}")

2022/day10.py

@@ -0,0 +1,40 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+lines = sys.stdin.read().splitlines()
+
+cycle = 1
+x = 1
+
+values = {cycle: x}
+
+for line in lines:
+    cycle += 1
+
+    if line == "noop":
+        pass
+    else:
+        r = int(line.split()[1])
+
+        values[cycle] = x
+
+        cycle += 1
+        x += r
+
+    values[cycle] = x
+
+answer_1 = sum(c * values[c] for c in range(20, max(values.keys()) + 1, 40))
+print(f"answer 1 is {answer_1}")
+
+
+for i in range(6):
+    for j in range(40):
+        v = values[1 + i * 40 + j]
+
+        if j >= v - 1 and j <= v + 1:
+            print("#", end="")
+        else:
+            print(".", end="")
+
+    print()

2022/day11.py

@@ -1,11 +1,13 @@
-import copy
+# -*- encoding: utf-8 -*-
-from functools import reduce
-from typing import Any, Callable, Final, Iterator, Mapping, Sequence
 
-from ..base import BaseSolver
+import copy
+import sys
+from functools import reduce
+from typing import Callable, Final, Mapping, Sequence
 
 
 class Monkey:
+
     id: Final[int]
     items: Final[Sequence[int]]
     worry_fn: Final[Callable[[int], int]]
@@ -95,7 +97,8 @@ def run(
     # number of inspects
     inspects = {monkey: 0 for monkey in monkeys}
 
-    for _ in range(n_rounds):
+    for round in range(n_rounds):
+
         for monkey in monkeys:
             for item in items[monkey]:
                 inspects[monkey] += 1
@@ -120,28 +123,24 @@ def monkey_business(inspects: dict[Monkey, int]) -> int:
     return sorted_levels[-2] * sorted_levels[-1]
 
 
-class Solver(BaseSolver):
+monkeys = [parse_monkey(block.splitlines()) for block in sys.stdin.read().split("\n\n")]
-    def solve(self, input: str) -> Iterator[Any]:
-        monkeys = [parse_monkey(block.splitlines()) for block in input.split("\n\n")]
 
-        # case 1: we simply divide the worry by 3 after applying the monkey worry operation
+# case 1: we simply divide the worry by 3 after applying the monkey worry operation
-        yield monkey_business(
+answer_1 = monkey_business(
     run(copy.deepcopy(monkeys), 20, me_worry_fn=lambda w: w // 3)
-        )
+)
+print(f"answer 1 is {answer_1}")
 
-        # case 2: to keep reasonable level values, we can use a modulo operation, we need to
+# case 2: to keep reasonable level values, we can use a modulo operation, we need to
-        # use the product of all "divisible by" test so that the test remains valid
+# use the product of all "divisible by" test so that the test remains valid
-        #
+#
-        # (a + b) % c == ((a % c) + (b % c)) % c --- this would work for a single test value
+# (a + b) % c == ((a % c) + (b % c)) % c --- this would work for a single test value
-        #
+#
-        # (a + b) % c == ((a % d) + (b % d)) % c --- if d is a multiple of c, which is why here
+# (a + b) % c == ((a % d) + (b % d)) % c --- if d is a multiple of c, which is why here
-        # we use the product of all test value
+# we use the product of all test value
-        #
+#
-        total_test_value = reduce(lambda w, m: w * m.test_value, monkeys, 1)
+total_test_value = reduce(lambda w, m: w * m.test_value, monkeys, 1)
-        yield monkey_business(
+answer_2 = monkey_business(
-            run(
+    run(copy.deepcopy(monkeys), 10_000, me_worry_fn=lambda w: w % total_test_value)
-                copy.deepcopy(monkeys),
+)
-                10_000,
+print(f"answer 2 is {answer_2}")
-                me_worry_fn=lambda w: w % total_test_value,
-            )
-        )

2022/day12.py

@@ -0,0 +1,165 @@
+# -*- encoding: utf-8 -*-
+
+import heapq
+import sys
+from typing import Callable, Iterator, TypeVar
+
+Node = TypeVar("Node")
+
+
+def dijkstra(
+    start: Node,
+    neighbors: Callable[[Node], Iterator[Node]],
+    cost: Callable[[Node, Node], float],
+) -> tuple[dict[Node, float], dict[Node, Node]]:
+    """
+    Compute shortest paths from one node to all reachable ones.
+
+    Args:
+        start: Starting node.
+        neighbors: Function returning the neighbors of a node.
+        cost: Function to compute the cost of an edge.
+
+    Returns:
+        A tuple (lengths, parents) where lengths is a mapping from Node to distance
+        (from the starting node) and parents a mapping from parents Node (in the
+        shortest path). If keyset of lengths and parents is the same. If a Node is not
+        in the mapping, it cannot be reached from the starting node.
+    """
+
+    queue: list[tuple[float, Node]] = []
+
+    visited: set[Node] = set()
+    lengths: dict[Node, float] = {start: 0}
+    parents: dict[Node, Node] = {}
+
+    heapq.heappush(queue, (0, start))
+
+    while queue:
+        length, current = heapq.heappop(queue)
+
+        if current in visited:
+            continue
+
+        visited.add(current)
+
+        for neighbor in neighbors(current):
+
+            if neighbor in visited:
+                continue
+
+            neighbor_cost = length + cost(current, neighbor)
+
+            if neighbor_cost < lengths.get(neighbor, float("inf")):
+                lengths[neighbor] = neighbor_cost
+                parents[neighbor] = current
+
+                heapq.heappush(queue, (neighbor_cost, neighbor))
+
+    return lengths, parents
+
+
+def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] | None:
+
+    if end not in parents:
+        return None
+
+    path: list[Node] = [end]
+
+    while path[-1] is not start:
+        path.append(parents[path[-1]])
+
+    return list(reversed(path))
+
+
+def print_path(path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
+    end = path[-1]
+
+    graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
+    graph[end[0]][end[1]] = "E"
+
+    for i in range(0, len(path) - 1):
+        cr, cc = path[i]
+        nr, nc = path[i + 1]
+
+        if cr == nr and nc == cc - 1:
+            graph[cr][cc] = "<"
+        elif cr == nr and nc == cc + 1:
+            graph[cr][cc] = ">"
+        elif cr == nr - 1 and nc == cc:
+            graph[cr][cc] = "v"
+        elif cr == nr + 1 and nc == cc:
+            graph[cr][cc] = "^"
+        else:
+            assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
+
+    print("\n".join("".join(row) for row in graph))
+
+
+def neighbors(
+    grid: list[list[int]], node: tuple[int, int], up: bool
+) -> Iterator[tuple[int, int]]:
+    n_rows = len(grid)
+    n_cols = len(grid[0])
+
+    c_row, c_col = node
+    for n_row, n_col in (
+        (c_row - 1, c_col),
+        (c_row + 1, c_col),
+        (c_row, c_col - 1),
+        (c_row, c_col + 1),
+    ):
+
+        if not (n_row >= 0 and n_row < n_rows and n_col >= 0 and n_col < n_cols):
+            continue
+
+        if up and grid[n_row][n_col] > grid[c_row][c_col] + 1:
+            continue
+        elif not up and grid[n_row][n_col] < grid[c_row][c_col] - 1:
+            continue
+
+        yield n_row, n_col
+
+
+# === main code ===
+
+lines = sys.stdin.read().splitlines()
+
+grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
+
+start: tuple[int, int]
+end: tuple[int, int]
+
+# for part 2
+start_s: list[tuple[int, int]] = []
+
+for i_row, row in enumerate(grid):
+    for i_col, col in enumerate(row):
+        if chr(col + ord("a")) == "S":
+            start = (i_row, i_col)
+            start_s.append(start)
+        elif chr(col + ord("a")) == "E":
+            end = (i_row, i_col)
+        elif col == 0:
+            start_s.append((i_row, i_col))
+
+# fix values
+grid[start[0]][start[1]] = 0
+grid[end[0]][end[1]] = ord("z") - ord("a")
+
+
+lengths_1, parents_1 = dijkstra(
+    start=start, neighbors=lambda n: neighbors(grid, n, True), cost=lambda lhs, rhs: 1
+)
+path_1 = make_path(parents_1, start, end)
+assert path_1 is not None
+
+print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
+
+print(f"answer 1 is {lengths_1[end] - 1}")
+
+lengths_2, parents_2 = dijkstra(
+    start=end, neighbors=lambda n: neighbors(grid, n, False), cost=lambda lhs, rhs: 1
+)
+answer_2 = min(lengths_2.get(start, float("inf")) for start in start_s)
+print(f"answer 2 is {answer_2}")

2022/day13.py

@@ -0,0 +1,41 @@
+# -*- encoding: utf-8 -*-
+
+import json
+import sys
+from functools import cmp_to_key
+
+blocks = sys.stdin.read().strip().split("\n\n")
+
+pairs = [tuple(json.loads(p) for p in block.split("\n")) for block in blocks]
+
+
+def compare(lhs: list[int | list], rhs: list[int | list]) -> int:
+
+    for lhs_a, rhs_a in zip(lhs, rhs):
+        if isinstance(lhs_a, int) and isinstance(rhs_a, int):
+            if lhs_a != rhs_a:
+                return rhs_a - lhs_a
+        else:
+            if not isinstance(lhs_a, list):
+                lhs_a = [lhs_a]
+            elif not isinstance(rhs_a, list):
+                rhs_a = [rhs_a]
+            assert isinstance(rhs_a, list) and isinstance(lhs_a, list)
+            r = compare(lhs_a, rhs_a)
+            if r != 0:
+                return r
+
+    return len(rhs) - len(lhs)
+
+
+answer_1 = sum(i + 1 for i, (lhs, rhs) in enumerate(pairs) if compare(lhs, rhs) > 0)
+print(f"answer_1 is {answer_1}")
+
+dividers = [[[2]], [[6]]]
+
+packets = [packet for packets in pairs for packet in packets]
+packets.extend(dividers)
+packets = list(reversed(sorted(packets, key=cmp_to_key(compare))))
+
+d_index = [packets.index(d) + 1 for d in dividers]
+print(f"answer 2 is {d_index[0] * d_index[1]}")

2022/day14.py

@@ -0,0 +1,144 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+from collections import defaultdict
+from enum import Enum, auto
+from typing import Callable, cast
+
+
+class Cell(Enum):
+    AIR = auto()
+    ROCK = auto()
+    SAND = auto()
+
+    def __str__(self) -> str:
+        return {Cell.AIR: ".", Cell.ROCK: "#", Cell.SAND: "O"}[self]
+
+
+def print_blocks(blocks: dict[tuple[int, int], Cell]):
+    """
+    Print the given set of blocks on a grid.
+
+    Args:
+        blocks: Set of blocks to print.
+    """
+    x_min, y_min, x_max, y_max = (
+        min(x for x, y in blocks),
+        0,
+        max(x for x, y in blocks),
+        max(y for x, y in blocks),
+    )
+
+    for y in range(y_min, y_max + 1):
+        print(
+            "".join(str(blocks.get((x, y), Cell.AIR)) for x in range(x_min, x_max + 1))
+        )
+
+
+def flow(
+    blocks: dict[tuple[int, int], Cell],
+    stop_fn: Callable[[int, int], bool],
+    fill_fn: Callable[[int, int], Cell],
+) -> dict[tuple[int, int], Cell]:
+    """
+    Flow sands onto the given set of blocks
+
+    Args:
+        blocks: Blocks containing ROCK position. Modified in-place.
+        stop_fn: Function called with the last (assumed) position of a grain of
+            sand BEFORE adding it to blocks. If the function returns True, the grain
+            is added and a new one is flowed, otherwise, the whole procedure stops
+            and the function returns (without adding the final grain).
+        fill_fn: Function called when the target position of a grain (during the
+            flowing process) is missing from blocks.
+
+    Returns:
+        The input blocks.
+    """
+
+    y_max = max(y for x, y in blocks)
+
+    while True:
+        x, y = 500, 0
+
+        while y <= y_max:
+
+            moved = False
+            for cx, cy in ((x, y + 1), (x - 1, y + 1), (x + 1, y + 1)):
+                if (cx, cy) not in blocks and fill_fn(cx, cy) == Cell.AIR:
+                    x, y = cx, cy
+                    moved = True
+                elif blocks[cx, cy] == Cell.AIR:
+                    x, y = cx, cy
+                    moved = True
+
+                if moved:
+                    break
+
+            if not moved:
+                break
+
+        if stop_fn(x, y):
+            break
+
+        blocks[x, y] = Cell.SAND
+
+    return blocks
+
+
+# === inputs ===
+
+lines = sys.stdin.read().splitlines()
+
+paths: list[list[tuple[int, int]]] = []
+for line in lines:
+    parts = line.split(" -> ")
+    paths.append(
+        [
+            cast(tuple[int, int], tuple(int(c.strip()) for c in part.split(",")))
+            for part in parts
+        ]
+    )
+
+
+blocks: dict[tuple[int, int], Cell] = {}
+for path in paths:
+    for start, end in zip(path[:-1], path[1:]):
+        x_start = min(start[0], end[0])
+        x_end = max(start[0], end[0]) + 1
+        y_start = min(start[1], end[1])
+        y_end = max(start[1], end[1]) + 1
+
+        for x in range(x_start, x_end):
+            for y in range(y_start, y_end):
+                blocks[x, y] = Cell.ROCK
+
+print_blocks(blocks)
+print()
+
+x_min, y_min, x_max, y_max = (
+    min(x for x, y in blocks),
+    0,
+    max(x for x, y in blocks),
+    max(y for x, y in blocks),
+)
+
+# === part 1 ===
+
+blocks_1 = flow(
+    blocks.copy(), stop_fn=lambda x, y: y > y_max, fill_fn=lambda x, y: Cell.AIR
+)
+print_blocks(blocks_1)
+print(f"answer 1 is {sum(v == Cell.SAND for v in blocks_1.values())}")
+print()
+
+# === part 2 ===
+
+blocks_2 = flow(
+    blocks.copy(),
+    stop_fn=lambda x, y: x == 500 and y == 0,
+    fill_fn=lambda x, y: Cell.AIR if y < y_max + 2 else Cell.ROCK,
+)
+blocks_2[500, 0] = Cell.SAND
+print_blocks(blocks_2)
+print(f"answer 2 is {sum(v == Cell.SAND for v in blocks_2.values())}")

2022/day15.py

@@ -0,0 +1,90 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+import numpy as np
+import parse
+
+
+def part1(sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int) -> int:
+
+    no_beacons_row_l: list[np.ndarray] = []
+
+    for (sx, sy), (bx, by) in sensor_to_beacon.items():
+        d = abs(sx - bx) + abs(sy - by)  # closest
+
+        no_beacons_row_l.append(sx - np.arange(0, d - abs(sy - row) + 1))
+        no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1))
+
+    beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
+    no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(beacons_at_row)
+
+    return len(no_beacons_row)
+
+
+def part2_intervals(
+    sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
+) -> tuple[int, int, int]:
+    from tqdm import trange
+
+    for y in trange(xy_max + 1):
+        its: list[tuple[int, int]] = []
+        for (sx, sy), (bx, by) in sensor_to_beacon.items():
+            d = abs(sx - bx) + abs(sy - by)
+            dx = d - abs(sy - y)
+
+            if dx >= 0:
+                its.append((max(0, sx - dx), min(sx + dx, xy_max)))
+
+        its = sorted(its)
+        s, e = its[0]
+
+        for si, ei in its[1:]:
+            if si > e + 1:
+                return si - 1, y, 4_000_000 * (si - 1) + y
+            if ei > e:
+                e = ei
+
+    return (0, 0, 0)
+
+
+def part2_cplex(
+    sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
+) -> tuple[int, int, int]:
+    from docplex.mp.model import Model
+
+    m = Model()
+
+    x, y = m.continuous_var_list(2, ub=xy_max, name=["x", "y"])
+
+    for (sx, sy), (bx, by) in sensor_to_beacon.items():
+        d = abs(sx - bx) + abs(sy - by)
+        m.add_constraint(m.abs(x - sx) + m.abs(y - sy) >= d + 1, ctname=f"ct_{sx}_{sy}")
+
+    m.set_objective("min", x + y)
+
+    s = m.solve()
+
+    vx = int(s.get_value(x))
+    vy = int(s.get_value(y))
+    return vx, vy, 4_000_000 * vx + vy
+
+
+lines = sys.stdin.read().splitlines()
+
+sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
+
+for line in lines:
+    r = parse.parse(
+        "Sensor at x={sx}, y={sy}: closest beacon is at x={bx}, y={by}", line
+    )
+    sensor_to_beacon[int(r["sx"]), int(r["sy"])] = (int(r["bx"]), int(r["by"]))
+
+xy_max = 4_000_000 if max(sensor_to_beacon) > (1_000, 0) else 20
+row = 2_000_000 if max(sensor_to_beacon) > (1_000, 0) else 10
+
+print(f"answer 1 is {part1(sensor_to_beacon, row)}")
+
+# x, y, a2 = part2_cplex(sensor_to_beacon, xy_max)
+x, y, a2 = part2_intervals(sensor_to_beacon, xy_max)
+print(f"answer 2 is {a2} (x={x}, y={y})")

2022/day16.py

@@ -0,0 +1,162 @@
+# -*- encoding: utf-8 -*-
+
+from __future__ import annotations
+
+import heapq
+import itertools
+import re
+import sys
+from collections import defaultdict
+from typing import FrozenSet, NamedTuple
+
+from tqdm import tqdm
+
+
+class Pipe(NamedTuple):
+    name: str
+    flow: int
+    tunnels: list[str]
+
+    def __lt__(self, other: object) -> bool:
+        return isinstance(other, Pipe) and other.name < self.name
+
+    def __eq__(self, other: object) -> bool:
+        return isinstance(other, Pipe) and other.name == self.name
+
+    def __hash__(self) -> int:
+        return hash(self.name)
+
+    def __str__(self) -> str:
+        return self.name
+
+    def __repr__(self) -> str:
+        return self.name
+
+
+def breadth_first_search(pipes: dict[str, Pipe], pipe: Pipe) -> dict[Pipe, int]:
+    """
+    Runs a BFS from the given pipe and return the shortest distance (in term of hops)
+    to all other pipes.
+    """
+    queue = [(0, pipe_1)]
+    visited = set()
+    distances: dict[Pipe, int] = {}
+
+    while len(distances) < len(pipes):
+        distance, current = heapq.heappop(queue)
+
+        if current in visited:
+            continue
+
+        visited.add(current)
+        distances[current] = distance
+
+        for tunnel in current.tunnels:
+            heapq.heappush(queue, (distance + 1, pipes[tunnel]))
+
+    return distances
+
+
+def update_with_better(
+    node_at_times: dict[FrozenSet[Pipe], int], flow: int, flowing: FrozenSet[Pipe]
+) -> None:
+    node_at_times[flowing] = max(node_at_times[flowing], flow)
+
+
+def part_1(
+    start_pipe: Pipe,
+    max_time: int,
+    distances: dict[tuple[Pipe, Pipe], int],
+    relevant_pipes: FrozenSet[Pipe],
+):
+
+    node_at_times: dict[int, dict[Pipe, dict[FrozenSet[Pipe], int]]] = defaultdict(
+        lambda: defaultdict(lambda: defaultdict(lambda: 0))
+    )
+    node_at_times[0] = {start_pipe: {frozenset(): 0}}
+
+    for time in range(max_time):
+        for c_pipe, nodes in node_at_times[time].items():
+            for flowing, flow in nodes.items():
+                for target in relevant_pipes:
+
+                    distance = distances[c_pipe, target] + 1
+                    if time + distance >= max_time or target in flowing:
+                        continue
+
+                    update_with_better(
+                        node_at_times[time + distance][target],
+                        flow + sum(pipe.flow for pipe in flowing) * distance,
+                        flowing | {target},
+                    )
+
+                update_with_better(
+                    node_at_times[max_time][c_pipe],
+                    flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
+                    flowing,
+                )
+
+    return max(
+        flow
+        for nodes_of_pipe in node_at_times[max_time].values()
+        for flow in nodes_of_pipe.values()
+    )
+
+
+def part_2(
+    start_pipe: Pipe,
+    max_time: int,
+    distances: dict[tuple[Pipe, Pipe], int],
+    relevant_pipes: FrozenSet[Pipe],
+):
+    def compute(pipes_for_me: FrozenSet[Pipe]) -> int:
+        return part_1(start_pipe, max_time, distances, pipes_for_me) + part_1(
+            start_pipe, max_time, distances, relevant_pipes - pipes_for_me
+        )
+
+    combs = [
+        frozenset(relevant_pipes_1)
+        for r in range(2, len(relevant_pipes) // 2 + 1)
+        for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
+    ]
+
+    return max(compute(comb) for comb in tqdm(combs))
+
+
+# === MAIN ===
+
+
+lines = sys.stdin.read().splitlines()
+
+
+pipes: dict[str, Pipe] = {}
+for line in lines:
+    r = re.match(
+        R"Valve ([A-Z]+) has flow rate=([0-9]+); tunnels? leads? to valves? (.+)",
+        line,
+    )
+    assert r
+
+    g = r.groups()
+
+    pipes[g[0]] = Pipe(g[0], int(g[1]), g[2].split(", "))
+
+# compute distances from one valve to any other
+distances: dict[tuple[Pipe, Pipe], int] = {}
+for pipe_1 in pipes.values():
+    distances.update(
+        {
+            (pipe_1, pipe_2): distance
+            for pipe_2, distance in breadth_first_search(pipes, pipe_1).items()
+        }
+    )
+
+# valves with flow
+relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
+
+
+# 1651, 1653
+print(part_1(pipes["AA"], 30, distances, relevant_pipes))
+
+# 1707, 2223
+print(part_2(pipes["AA"], 26, distances, relevant_pipes))

2022/day17.py

@@ -1,16 +1,25 @@
-from typing import Any, Iterator, Sequence, TypeAlias, TypeVar
+# -*- encoding: utf-8 -*-
+
+import sys
+from typing import Sequence, TypeVar
 
 import numpy as np
-from numpy.typing import NDArray
-
-from ..base import BaseSolver
 
 T = TypeVar("T")
 
-Tower: TypeAlias = NDArray[np.bool]
+
+def print_tower(tower: np.ndarray, out: str = "#"):
+    print("-" * (tower.shape[1] + 2))
+    non_empty = False
+    for row in reversed(range(1, tower.shape[0])):
+        if not non_empty and not tower[row, :].any():
+            continue
+        non_empty = True
+        print("|" + "".join(out if c else "." for c in tower[row, :]) + "|")
+    print("+" + "-" * tower.shape[1] + "+")
 
 
-def tower_height(tower: Tower) -> int:
+def tower_height(tower: np.ndarray) -> int:
     return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
 
 
@@ -38,8 +47,9 @@ def build_tower(
     n_rocks: int,
     jets: str,
     early_stop: bool = False,
-    init: Tower = np.ones(WIDTH, dtype=bool),
+    init: np.ndarray = np.ones(WIDTH, dtype=bool),
-) -> tuple[Tower, int, int, dict[int, int]]:
+) -> tuple[np.ndarray, int, int, dict[int, int]]:
+
     tower = EMPTY_BLOCKS.copy()
     tower[0, :] = init
 
@@ -49,6 +59,7 @@ def build_tower(
     rock_count = 0
 
     for rock_count in range(n_rocks):
+
         if early_stop:
             if i_rock == 0 and (i_rock, i_jet) in done_at:
                 break
@@ -64,6 +75,7 @@ def build_tower(
             tower = np.concatenate([tower, EMPTY_BLOCKS], axis=0)
 
         while True:
+
             jet, i_jet = next_cycle(jets, i_jet)
 
             dx = 0
@@ -88,24 +100,26 @@ def build_tower(
     return tower, rock_count, done_at.get((i_rock, i_jet), -1), heights
 
 
-class Solver(BaseSolver):
+line = sys.stdin.read().strip()
-    def solve(self, input: str) -> Iterator[Any]:
-        tower, *_ = build_tower(2022, input)
-        yield tower_height(tower)
 
-        TOTAL_ROCKS = 1_000_000_000_000
+tower, *_ = build_tower(2022, line)
-        _tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, input, True)
+answer_1 = tower_height(tower)
-        assert prev_1 > 0
+print(f"answer 1 is {answer_1}")
 
-        # 2767 1513
+TOTAL_ROCKS = 1_000_000_000_000
-        remaining_rocks = TOTAL_ROCKS - n_rocks_1
+tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, line, True)
-        n_repeat_rocks = n_rocks_1 - prev_1
+assert prev_1 > 0
-        n_repeat_towers = remaining_rocks // n_repeat_rocks
 
-        base_height = heights_1[prev_1]
+# 2767 1513
-        repeat_height = heights_1[prev_1 + n_repeat_rocks - 1] - heights_1[prev_1]
+remaining_rocks = TOTAL_ROCKS - n_rocks_1
-        remaining_height = (
+n_repeat_rocks = n_rocks_1 - prev_1
+n_repeat_towers = remaining_rocks // n_repeat_rocks
+
+base_height = heights_1[prev_1]
+repeat_height = heights_1[prev_1 + n_repeat_rocks - 1] - heights_1[prev_1]
+remaining_height = (
     heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1]
-        )
+)
 
-        yield base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
+answer_2 = base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
+print(f"answer 2 is {answer_2}")

2022/day18.py

@@ -0,0 +1,53 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+from typing import FrozenSet
+
+import numpy as np
+
+xyz = np.asarray(
+    [
+        tuple(int(x) for x in row.split(","))  # type: ignore
+        for row in sys.stdin.read().splitlines()
+    ]
+)
+
+xyz = xyz - xyz.min(axis=0) + 1
+
+cubes = np.zeros(xyz.max(axis=0) + 3, dtype=bool)
+cubes[xyz[:, 0], xyz[:, 1], xyz[:, 2]] = True
+
+n_dims = len(cubes.shape)
+
+faces = [(-1, 0, 0), (1, 0, 0), (0, -1, 0), (0, 1, 0), (0, 0, -1), (0, 0, 1)]
+
+answer_1 = sum(
+    1 for x, y, z in xyz for dx, dy, dz in faces if not cubes[x + dx, y + dy, z + dz]
+)
+print(f"answer 1 is {answer_1}")
+
+visited = np.zeros_like(cubes, dtype=bool)
+queue = [(0, 0, 0)]
+
+n_faces = 0
+while queue:
+    x, y, z = queue.pop(0)
+
+    if visited[x, y, z]:
+        continue
+
+    visited[x, y, z] = True
+
+    for dx, dy, dz in faces:
+        nx, ny, nz = x + dx, y + dy, z + dz
+        if not all(n >= 0 and n < cubes.shape[i] for i, n in enumerate((nx, ny, nz))):
+            continue
+
+        if visited[nx, ny, nz]:
+            continue
+
+        if cubes[nx, ny, nz]:
+            n_faces += 1
+        else:
+            queue.append((nx, ny, nz))
+print(f"answer 2 is {n_faces}")

2022/day19.py

@@ -1,10 +1,11 @@
-from typing import Any, Iterator, Literal
+# -*- encoding: utf-8 -*-
+
+import sys
+from typing import Literal
 
 import numpy as np
-import parse  # pyright: ignore[reportMissingTypeStubs]
+import parse
-from numpy.typing import NDArray
+from tqdm import tqdm
-
-from ..base import BaseSolver
 
 Reagent = Literal["ore", "clay", "obsidian", "geode"]
 REAGENTS: tuple[Reagent, ...] = (
@@ -36,7 +37,7 @@ class State:
             self.robots = robots
             self.reagents = reagents
 
-    def __eq__(self, other: object) -> bool:
+    def __eq__(self, other) -> bool:
         return (
             isinstance(other, State)
             and self.robots == other.robots
@@ -63,7 +64,31 @@ def dominates(lhs: State, rhs: State):
     )
 
 
+lines = sys.stdin.read().splitlines()
+
+blueprints: list[dict[Reagent, IntOfReagent]] = []
+for line in lines:
+    r = parse.parse(
+        "Blueprint {}: "
+        "Each ore robot costs {:d} ore. "
+        "Each clay robot costs {:d} ore. "
+        "Each obsidian robot costs {:d} ore and {:d} clay. "
+        "Each geode robot costs {:d} ore and {:d} obsidian.",
+        line,
+    )
+
+    blueprints.append(
+        {
+            "ore": {"ore": r[1]},
+            "clay": {"ore": r[2]},
+            "obsidian": {"ore": r[3], "clay": r[4]},
+            "geode": {"ore": r[5], "obsidian": r[6]},
+        }
+    )
+
+
 def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
+
     # since we can only build one robot per time, we do not need more than X robots
     # of type K where X is the maximum number of K required among all robots, e.g.,
     # in the first toy blueprint, we need at most 4 ore robots, 14 clay ones and 7
@@ -72,12 +97,12 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
         name: max(blueprint[r].get(name, 0) for r in REAGENTS) for name in REAGENTS
     }
 
-    state_after_t: dict[int, set[State]] = {0: {State()}}
+    state_after_t: dict[int, set[State]] = {0: [State()]}
 
     for t in range(1, max_time + 1):
+
         # list of new states at the end of step t that we are going to prune later
         states_for_t: set[State] = set()
-        robots_that_can_be_built: list[Reagent]
 
         for state in state_after_t[t - 1]:
             robots_that_can_be_built = [
@@ -111,7 +136,7 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
             for robot in robots_that_can_be_built:
                 robots = state.robots.copy()
                 robots[robot] += 1
-                reagents: IntOfReagent = {
+                reagents = {
                     reagent: state.reagents[reagent]
                     + state.robots[reagent]
                     - blueprint[robot].get(reagent, 0)
@@ -130,7 +155,7 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
             ]
         )
 
-        to_keep: list[NDArray[np.integer[Any]]] = []
+        to_keep = []
         while len(np_states) > 0:
             first_dom = (np_states[1:] >= np_states[0]).all(axis=1).any()
 
@@ -151,31 +176,11 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
     return max(state.reagents["geode"] for state in state_after_t[max_time])
 
 
-class Solver(BaseSolver):
+answer_1 = sum(
-    def solve(self, input: str) -> Iterator[Any]:
-        blueprints: list[dict[Reagent, IntOfReagent]] = []
-        for line in input.splitlines():
-            r: list[int] = parse.parse(  # type: ignore
-                "Blueprint {}: "
-                "Each ore robot costs {:d} ore. "
-                "Each clay robot costs {:d} ore. "
-                "Each obsidian robot costs {:d} ore and {:d} clay. "
-                "Each geode robot costs {:d} ore and {:d} obsidian.",
-                line,
-            )
-
-            blueprints.append(
-                {
-                    "ore": {"ore": r[1]},
-                    "clay": {"ore": r[2]},
-                    "obsidian": {"ore": r[3], "clay": r[4]},
-                    "geode": {"ore": r[5], "obsidian": r[6]},
-                }
-            )
-
-        yield sum(
     (i_blueprint + 1) * run(blueprint, 24)
     for i_blueprint, blueprint in enumerate(blueprints)
-        )
+)
+print(f"answer 1 is {answer_1}")
 
-        yield (run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32))
+answer_2 = run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32)
+print(f"answer 2 is {answer_2}")

2022/day2.py

@@ -1,6 +1,19 @@
-from typing import Any, Iterator
+# -*- encoding: utf-8 -*-
 
-from ..base import BaseSolver
+import sys
+
+lines = sys.stdin.readlines()
+
+# the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
+# modulo-3 arithmetic
+#
+# in modulo-3 arithmetic, the winning move is 1 + the opponent move (e.g., winning move
+# if opponent plays 0 is 1, or 0 if opponent plays 2 (0 = (2 + 1 % 3)))
+#
+
+# we read the lines in a Nx2 in array with value 0/1/2 instead of A/B/C or X/Y/Z for
+# easier manipulation
+values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
 
 
 def score_1(ux: int, vx: int) -> int:
@@ -35,23 +48,8 @@ def score_2(ux: int, vx: int) -> int:
     return (ux + vx - 1) % 3 + 1 + vx * 3
 
 
-class Solver(BaseSolver):
+# part 1 - 13526
-    def solve(self, input: str) -> Iterator[Any]:
+print(f"score 1 is {sum(score_1(*v) for v in values)}")
-        lines = input.splitlines()
 
-        # the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
+# part 2 - 14204
-        # modulo-3 arithmetic
+print(f"score 2 is {sum(score_2(*v) for v in values)}")
-        #
-        # in modulo-3 arithmetic, the winning move is 1 + the opponent move (e.g., winning move
-        # if opponent plays 0 is 1, or 0 if opponent plays 2 (0 = (2 + 1 % 3)))
-        #
-
-        # we read the lines in a Nx2 in array with value 0/1/2 instead of A/B/C or X/Y/Z for
-        # easier manipulation
-        values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
-
-        # part 1 - 13526
-        yield sum(score_1(*v) for v in values)
-
-        # part 2 - 14204
-        yield sum(score_2(*v) for v in values)

2022/day20.py

@@ -1,8 +1,8 @@
+# -*- encoding: utf-8 -*-
+
 from __future__ import annotations
 
-from typing import Any, Iterator
+import sys
-
-from ..base import BaseSolver
 
 
 class Number:
@@ -21,6 +21,7 @@ class Number:
 
 
 def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
+
     numbers = numbers.copy()
     original = numbers.copy()
 
@@ -67,9 +68,10 @@ def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
     )
 
 
-class Solver(BaseSolver):
+numbers = [Number(int(x)) for i, x in enumerate(sys.stdin.readlines())]
-    def solve(self, input: str) -> Iterator[Any]:
-        numbers = [Number(int(x)) for x in input.splitlines()]
 
-        yield decrypt(numbers, 1, 1)
+answer_1 = decrypt(numbers, 1, 1)
-        yield decrypt(numbers, 811589153, 10)
+print(f"answer 1 is {answer_1}")
+
+answer_2 = decrypt(numbers, 811589153, 10)
+print(f"answer 2 is {answer_2}")

2022/day21.py

@@ -1,7 +1,8 @@
-import operator
+# -*- encoding: utf-8 -*-
-from typing import Any, Callable, Iterator
 
-from ..base import BaseSolver
+import operator
+import sys
+from typing import Callable
 
 
 def compute(monkeys: dict[str, int | tuple[str, str, str]], monkey: str) -> int:
@@ -78,15 +79,13 @@ def invert(
     return monkeys
 
 
-class Solver(BaseSolver):
+lines = sys.stdin.read().splitlines()
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = [line.strip() for line in input.splitlines()]
 
-        monkeys: dict[str, int | tuple[str, str, str]] = {}
+monkeys: dict[str, int | tuple[str, str, str]] = {}
 
-        op_monkeys: set[str] = set()
+op_monkeys: set[str] = set()
 
-        for line in lines:
+for line in lines:
     parts = line.split(":")
     name = parts[0].strip()
 
@@ -99,10 +98,12 @@ class Solver(BaseSolver):
 
         op_monkeys.add(name)
 
-        yield compute(monkeys.copy(), "root")
 
-        # assume the second operand of 'root' can be computed, and the first one depends on
+answer_1 = compute(monkeys.copy(), "root")
-        # humn, which is the case is my input and the test input
+print(f"answer 1 is {answer_1}")
-        assert isinstance(monkeys["root"], tuple)
+
-        p1, _, p2 = monkeys["root"]  # type: ignore
+# assume the second operand of 'root' can be computed, and the first one depends on
-        yield compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
+# humn, which is the case is my input and the test input
+p1, _, p2 = monkeys["root"]  # type: ignore
+answer_2 = compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
+print(f"answer 2 is {answer_2}")

2022/day22.py

@@ -0,0 +1,225 @@
+# -*- encoding: utf-8 -*-
+
+import re
+import sys
+from typing import Callable
+
+import numpy as np
+
+VOID, EMPTY, WALL = 0, 1, 2
+TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
+
+SCORES = {"E": 0, "S": 1, "W": 2, "N": 3}
+
+
+board_map_s, direction_s = sys.stdin.read().split("\n\n")
+
+# board
+board_lines = board_map_s.splitlines()
+max_line = max(len(line) for line in board_lines)
+board = np.array(
+    [
+        [TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
+        for row in board_map_s.splitlines()
+    ]
+)
+
+directions = [
+    int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
+]
+
+
+# find on each row and column the first and last non-void
+row_first_non_void = np.argmax(board != VOID, axis=1)
+row_last_non_void = board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
+col_first_non_void = np.argmax(board != VOID, axis=0)
+col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
+
+
+faces = np.zeros_like(board)
+size = np.gcd(board.shape[0], board.shape[1])
+for row in range(0, board.shape[0], size):
+    for col in range(row_first_non_void[row], row_last_non_void[row], size):
+        faces[row : row + size, col : col + size] = faces.max() + 1
+
+SIZE = np.gcd(*board.shape)
+
+# TODO: deduce this from the actual cube...
+faces_wrap: dict[int, dict[str, Callable[[int, int], tuple[int, int, str]]]]
+if board.shape == (12, 16):  # example
+    faces_wrap = {
+        1: {
+            "W": lambda y, x: (4, 4 + y, "S"),  # 3N
+            "N": lambda y, x: (4, 11 - x, "S"),  # 2N
+            "E": lambda y, x: (11 - y, 15, "W"),  # 6E
+        },
+        2: {
+            "W": lambda y, x: (11, 19 - y, "N"),  # 6S
+            "N": lambda y, x: (0, 11 - y, "S"),  # 1N
+            "S": lambda y, x: (11, 11 - x, "N"),  # 5S
+        },
+        3: {
+            "N": lambda y, x: (x - 4, 8, "E"),  # 1W
+            "S": lambda y, x: (15 - x, 8, "E"),  # 5W
+        },
+        4: {"E": lambda y, x: (8, 19 - y, "S")},  # 6N
+        5: {
+            "W": lambda y, x: (7, 15 - y, "N"),  # 3S
+            "S": lambda y, x: (7, 11 - x, "N"),  # 2S
+        },
+        6: {
+            "N": lambda y, x: (19 - x, 11, "W"),  # 4E
+            "E": lambda y, x: (11 - y, 11, "W"),  # 1E
+            "S": lambda y, x: (19 - x, 0, "E"),  # 2W
+        },
+    }
+
+else:
+    faces_wrap = {
+        1: {
+            "W": lambda y, x: (3 * SIZE - y - 1, 0, "E"),  # 4W
+            "N": lambda y, x: (2 * SIZE + x, 0, "E"),  # 6W
+        },
+        2: {
+            "N": lambda y, x: (4 * SIZE - 1, x - 2 * SIZE, "N"),  # 6S
+            "E": lambda y, x: (3 * SIZE - y - 1, 2 * SIZE - 1, "W"),  # 5E
+            "S": lambda y, x: (x - SIZE, 2 * SIZE - 1, "W"),  # 3E
+        },
+        3: {
+            "W": lambda y, x: (2 * SIZE, y - SIZE, "S"),  # 4N
+            "E": lambda y, x: (SIZE - 1, SIZE + y, "N"),  # 2S
+        },
+        4: {
+            "W": lambda y, x: (3 * SIZE - y - 1, SIZE, "E"),  # 1W
+            "N": lambda y, x: (SIZE + x, SIZE, "E"),  # 3W
+        },
+        5: {
+            "E": lambda y, x: (3 * SIZE - y - 1, 3 * SIZE - 1, "W"),  # 2E
+            "S": lambda y, x: (2 * SIZE + x, SIZE - 1, "W"),  # 6E
+        },
+        6: {
+            "W": lambda y, x: (0, y - 2 * SIZE, "S"),  # 1N
+            "E": lambda y, x: (3 * SIZE - 1, y - 2 * SIZE, "N"),  # 5S
+            "S": lambda y, x: (0, x + 2 * SIZE, "S"),  # 2N
+        },
+    }
+
+
+def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+    if r0 == "E":
+        return y0, row_first_non_void[y0], r0
+    elif r0 == "S":
+        return col_first_non_void[x0], x0, r0
+    elif r0 == "W":
+        return y0, row_last_non_void[y0], r0
+    elif r0 == "N":
+        return col_last_non_void[x0], x0, r0
+
+    assert False
+
+
+def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+    cube = faces[y0, x0]
+    assert r0 in faces_wrap[cube]
+    return faces_wrap[cube][r0](y0, x0)
+
+
+def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int, str]:
+
+    y0 = 0
+    x0 = np.where(board[0] == EMPTY)[0][0]
+    r0 = "E"
+
+    for direction in directions:
+        if isinstance(direction, int):
+            while direction > 0:
+                if r0 == "E":
+                    xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0]
+                    if len(xi):
+                        x0 = x0 + xi[0]
+                        direction = 0
+                    elif (
+                        x0 + direction < board.shape[1]
+                        and board[y0, x0 + direction] == EMPTY
+                    ):
+                        x0 = x0 + direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            x0 = row_last_non_void[y0]
+                            direction = 0
+                        else:
+                            direction = direction - (row_last_non_void[y0] - x0) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "S":
+                    yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0]
+                    if len(yi):
+                        y0 = y0 + yi[0]
+                        direction = 0
+                    elif (
+                        y0 + direction < board.shape[0]
+                        and board[y0 + direction, x0] == EMPTY
+                    ):
+                        y0 = y0 + direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            y0 = col_last_non_void[x0]
+                            direction = 0
+                        else:
+                            direction = direction - (col_last_non_void[x0] - y0) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "W":
+                    left = max(x0 - direction - 1, 0)
+                    xi = np.where(board[y0, left:x0] == WALL)[0]
+                    if len(xi):
+                        x0 = left + xi[-1] + 1
+                        direction = 0
+                    elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY:
+                        x0 = x0 - direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            x0 = row_first_non_void[y0]
+                            direction = 0
+                        else:
+                            direction = direction - (x0 - row_first_non_void[y0]) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "N":
+                    top = max(y0 - direction - 1, 0)
+                    yi = np.where(board[top:y0, x0] == WALL)[0]
+                    if len(yi):
+                        y0 = top + yi[-1] + 1
+                        direction = 0
+                    elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY:
+                        y0 = y0 - direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            y0 = col_first_non_void[x0]
+                            direction = 0
+                        else:
+                            direction = direction - (y0 - col_first_non_void[x0]) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+        else:
+            r0 = {
+                "E": {"L": "N", "R": "S"},
+                "N": {"L": "W", "R": "E"},
+                "W": {"L": "S", "R": "N"},
+                "S": {"L": "E", "R": "W"},
+            }[r0][direction]
+
+    return y0, x0, r0
+
+
+y1, x1, r1 = run(wrap_part_1)
+answer_1 = 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
+print(f"answer 1 is {answer_1}")
+
+y2, x2, r2 = run(wrap_part_2)
+answer_2 = 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]
+print(f"answer 2 is {answer_2}")

2022/day23.py

@@ -0,0 +1,3 @@
+# -*- encoding: utf-8 -*-
+
+import sys

2022/day24.py

@@ -0,0 +1,3 @@
+# -*- encoding: utf-8 -*-
+
+import sys

2022/day25.py

@@ -0,0 +1,3 @@
+# -*- encoding: utf-8 -*-
+
+import sys

2022/day3.py

@@ -0,0 +1,25 @@
+# -*- encoding: utf-8 -*-
+
+import string
+import sys
+
+lines = [line.strip() for line in sys.stdin.readlines()]
+
+# extract content of each part
+parts = [(set(line[: len(line) // 2]), set(line[len(line) // 2 :])) for line in lines]
+
+# priorities
+priorities = {c: i + 1 for i, c in enumerate(string.ascii_letters)}
+
+# part 1
+part1 = sum(priorities[c] for p1, p2 in parts for c in p1.intersection(p2))
+print(f"score 1 is {part1}")
+
+# part 2
+n_per_group = 3
+part2 = sum(
+    priorities[c]
+    for i in range(0, len(lines), n_per_group)
+    for c in set.intersection(*map(set, (lines[i : i + n_per_group])))
+)
+print(f"score 2 is {part2}")

2022/day4.py

@@ -0,0 +1,19 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+lines = [line.strip() for line in sys.stdin.readlines()]
+
+
+def make_range(value: str) -> set[int]:
+    parts = value.split("-")
+    return set(range(int(parts[0]), int(parts[1]) + 1))
+
+
+sections = [tuple(make_range(part) for part in line.split(",")) for line in lines]
+
+score_1 = sum(s1.issubset(s2) or s2.issubset(s1) for s1, s2 in sections)
+print(f"score 1 is {score_1}")
+
+score_2 = sum(bool(s1.intersection(s2)) for s1, s2 in sections)
+print(f"score 1 is {score_2}")

2022/day5.py

@@ -0,0 +1,43 @@
+# -*- encoding: utf-8 -*-
+
+import copy
+import sys
+
+blocks_s, moves_s = (part.splitlines() for part in sys.stdin.read().split("\n\n"))
+
+blocks: dict[str, list[str]] = {stack: [] for stack in blocks_s[-1].split()}
+
+# this codes assumes that the lines are regular, i.e., 4 characters per "crate" in the
+# form of '[X] ' (including the trailing space)
+#
+for block in blocks_s[-2::-1]:
+    for stack, index in zip(blocks, range(0, len(block), 4)):
+        crate = block[index + 1 : index + 2].strip()
+
+        if crate:
+            blocks[stack].append(crate)
+
+# part 1 - deep copy for part 2
+blocks_1 = copy.deepcopy(blocks)
+
+for move in moves_s:
+    _, count_s, _, from_, _, to_ = move.strip().split()
+
+    for _i in range(int(count_s)):
+        blocks_1[to_].append(blocks_1[from_].pop())
+
+# part 2
+blocks_2 = copy.deepcopy(blocks)
+
+for move in moves_s:
+    _, count_s, _, from_, _, to_ = move.strip().split()
+    count = int(count_s)
+
+    blocks_2[to_].extend(blocks_2[from_][-count:])
+    del blocks_2[from_][-count:]
+
+answer_1 = "".join(s[-1] for s in blocks_1.values())
+print(f"answer 1 is {answer_1}")
+
+answer_2 = "".join(s[-1] for s in blocks_2.values())
+print(f"answer 2 is {answer_2}")

2022/day6.py

@@ -0,0 +1,16 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+data = sys.stdin.read().strip()
+
+
+def index_of_first_n_differents(data: str, n: int) -> int:
+    for i in range(len(data)):
+        if len(set(data[i : i + n])) == n:
+            return i + n
+    return -1
+
+
+print(f"answer 1 is {index_of_first_n_differents(data, 4)}")
+print(f"answer 2 is {index_of_first_n_differents(data, 14)}")

2022/day7.py

@@ -0,0 +1,82 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+from pathlib import Path
+
+lines = sys.stdin.read().splitlines()
+
+# we are going to use Path to create path and go up/down in the file tree since it
+# implements everything we need
+#
+# we can use .resolve() to get normalized path, although this will add C:\ to all paths
+# on Windows but that is not an issue since only the sizes matter
+#
+
+# mapping from path to list of files or directories
+trees: dict[Path, list[Path]] = {}
+
+# mapping from paths to either size (for file) or -1 for directory
+sizes: dict[Path, int] = {}
+
+# first line must be a cd otherwise we have no idea where we are
+assert lines[0].startswith("$ cd")
+base_path = Path(lines[0].strip("$").split()[1]).resolve()
+cur_path = base_path
+
+trees[cur_path] = []
+sizes[cur_path] = -1
+
+for line in lines[1:]:
+    # command
+    if line.startswith("$"):
+        parts = line.strip("$").strip().split()
+        command = parts[0]
+
+        if command == "cd":
+            cur_path = cur_path.joinpath(parts[1]).resolve()
+
+            # just initialize the lis of files if not already done
+            if cur_path not in trees:
+                trees[cur_path] = []
+        else:
+            # nothing to do here
+            pass
+
+    # fill the current path
+    else:
+        parts = line.split()
+        name: str = parts[1]
+        if line.startswith("dir"):
+            size = -1
+        else:
+            size = int(parts[0])
+
+        path = cur_path.joinpath(name)
+        trees[cur_path].append(path)
+        sizes[path] = size
+
+
+def compute_size(path: Path) -> int:
+    size = sizes[path]
+
+    if size >= 0:
+        return size
+
+    return sum(compute_size(sub) for sub in trees[path])
+
+
+acc_sizes = {path: compute_size(path) for path in trees}
+
+# part 1
+answer_1 = sum(size for size in acc_sizes.values() if size <= 100_000)
+print(f"answer 1 is {answer_1}")
+
+# part 2
+total_space = 70_000_000
+update_space = 30_000_000
+free_space = total_space - acc_sizes[base_path]
+
+to_free_space = update_space - free_space
+
+answer_2 = min(size for size in acc_sizes.values() if size >= to_free_space)
+print(f"answer 2 is {answer_2}")

2022/day8.py

@@ -0,0 +1,54 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+import numpy as np
+
+lines = sys.stdin.read().splitlines()
+
+trees = np.array([[int(x) for x in row] for row in lines])
+
+# answer 1
+highest_trees = np.ones(trees.shape + (4,), dtype=int) * -1
+highest_trees[1:-1, 1:-1] = [
+    [
+        [
+            trees[:i, j].max(),
+            trees[i + 1 :, j].max(),
+            trees[i, :j].max(),
+            trees[i, j + 1 :].max(),
+        ]
+        for j in range(1, trees.shape[1] - 1)
+    ]
+    for i in range(1, trees.shape[0] - 1)
+]
+
+answer_1 = (highest_trees.min(axis=2) < trees).sum()
+print(f"answer 1 is {answer_1}")
+
+
+def viewing_distance(row_of_trees: np.ndarray, value: int) -> int:
+    w = np.where(row_of_trees >= value)[0]
+
+    if not w.size:
+        return len(row_of_trees)
+
+    return w[0] + 1
+
+
+# answer 2
+v_distances = np.zeros(trees.shape + (4,), dtype=int)
+v_distances[1:-1, 1:-1, :] = [
+    [
+        [
+            viewing_distance(trees[i - 1 :: -1, j], trees[i, j]),
+            viewing_distance(trees[i, j - 1 :: -1], trees[i, j]),
+            viewing_distance(trees[i, j + 1 :], trees[i, j]),
+            viewing_distance(trees[i + 1 :, j], trees[i, j]),
+        ]
+        for j in range(1, trees.shape[1] - 1)
+    ]
+    for i in range(1, trees.shape[0] - 1)
+]
+answer_2 = np.prod(v_distances, axis=2).max()
+print(f"answer 2 is {answer_2}")

2022/day9.py

@@ -1,12 +1,12 @@
-import itertools as it
+# -*- encoding: utf-8 -*-
-from typing import Any, Iterator
+
+import sys
 
 import numpy as np
 
-from ..base import BaseSolver
-
 
 def move(head: tuple[int, int], command: str) -> tuple[int, int]:
+
     h_col, h_row = head
 
     if command == "L":
@@ -22,6 +22,7 @@ def move(head: tuple[int, int], command: str) -> tuple[int, int]:
 
 
 def follow(head: tuple[int, int], tail: tuple[int, int]) -> tuple[int, int]:
+
     h_col, h_row = head
     t_col, t_row = tail
 
@@ -32,7 +33,8 @@ def follow(head: tuple[int, int], tail: tuple[int, int]) -> tuple[int, int]:
 
 
 def run(commands: list[str], n_blocks: int) -> list[tuple[int, int]]:
-    blocks: list[tuple[int, int]] = [(0, 0) for _ in range(n_blocks)]
+
+    blocks = [(0, 0) for _ in range(n_blocks)]
     visited = [blocks[-1]]
 
     for command in commands:
@@ -46,14 +48,17 @@ def run(commands: list[str], n_blocks: int) -> list[tuple[int, int]]:
     return visited
 
 
-class Solver(BaseSolver):
+lines = sys.stdin.read().splitlines()
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = [line.strip() for line in input.splitlines()]
 
-        # flatten the commands
+# flatten the commands
-        commands = list(
+commands: list[str] = []
-            it.chain(*(p[0] * int(p[1]) for line in lines if (p := line.split())))
+for line in lines:
-        )
+    d, c = line.split()
+    commands.extend(d * int(c))
 
-        yield len(set(run(commands, n_blocks=2)))
+
-        yield len(set(run(commands, n_blocks=10)))
+visited_1 = run(commands, n_blocks=2)
+print(f"answer 1 is {len(set(visited_1))}")
+
+visited_2 = run(commands, n_blocks=10)
+print(f"answer 2 is {len(set(visited_2))}")

README.md

@@ -1,36 +1,7 @@
-# Holt59 - Advent Of Code
+# Advent Of Code
 
-Installation (with [`poetry`](https://python-poetry.org/)):
+To run any script, you need to pipe the input:
 
 ```bash
-poetry install
+cat 2022/inputs/day2.txt | python 2022/day2.py
-```
-
-To run any day:
-
-```bash
-holt59-aoc $day
-```
-
-You can use `-v` / `--verbose` for extra outputs in some case, `-t` / `--test` to run
-the code on the test data (one of the test data if multiple are present) or even
-`-u XXX` / `--user XXX` to run the code on a specific input after putting the input
-file under `src/holt59/aoc/inputs/XXX/$year/$day`.
-
-Full usage:
-
-```bash
-usage: Holt59 Advent-Of-Code Runner [-h] [-v] [-t] [-u USER] [-i INPUT] [-y YEAR] day
-
-positional arguments:
-  day                   day to run
-
-options:
-  -h, --help            show this help message and exit
-  -v, --verbose         verbose mode
-  -t, --test            test mode
-  -u USER, --user USER  user input to use
-  -i INPUT, --input INPUT
-                        input to use (override user and test)
-  -y YEAR, --year YEAR  year to run
 ```

pyproject.toml

@@ -1,52 +0,0 @@
-[tool.poetry]
-name = "holt59-advent-of-code"
-version = "0.1.0"
-description = ""
-authors = ["Mikael CAPELLE <capelle.mikael@gmail.com>"]
-license = "MIT"
-readme = "README.md"
-packages = [{ include = "holt59", from = "src" }]
-
-[tool.poetry.dependencies]
-python = "^3.10"
-numpy = "^2.1.3"
-tqdm = "^4.67.1"
-parse = "^1.20.2"
-sympy = "^1.13.3"
-networkx = "^3.4.2"
-pillow = "^11.0.0"
-imageio = "^2.36.1"
-pygifsicle = "^1.1.0"
-opencv-python = "^4.10.0.84"
-
-[tool.poetry.group.dev.dependencies]
-pyright = "^1.1.389"
-ruff = "^0.8.1"
-poethepoet = "^0.31.1"
-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"
-
-[tool.poe.tasks]
-format-imports = "ruff check --select I src --fix"
-format-ruff = "ruff format src"
-format.sequence = ["format-imports", "format-ruff"]
-lint-ruff = "ruff check src"
-lint-ruff-format = "ruff format --check src"
-lint-pyright = "pyright src"
-lint.sequence = ["lint-ruff", "lint-ruff-format", "lint-pyright"]
-lint.ignore_fail = "return_non_zero"
-
-[build-system]
-requires = ["poetry-core"]
-build-backend = "poetry.core.masonry.api"

run.ps1

@@ -0,0 +1,5 @@
+param([switch]$Test, $day)
+
+$folder = $Test ? "tests" : "inputs"
+
+Get-Content ".\2022\$folder\day$day.txt" | python ".\2022\day$day.py"

src/holt59/aoc/2015/day1.py

@@ -1,12 +0,0 @@
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        floor = 0
-        floors = [(floor := floor + (1 if c == "(" else -1)) for c in input]
-
-        yield floors[-1]
-        yield floors.index(-1)

src/holt59/aoc/2015/day10.py

@@ -1,147 +0,0 @@
-import itertools
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-# see http://www.se16.info/js/lands2.htm for the explanation of 'atoms' (or elements)
-#
-# see also https://www.youtube.com/watch?v=ea7lJkEhytA (video link from AOC) and this
-# CodeGolf answer https://codegolf.stackexchange.com/a/8479/42148
-
-# fmt: off
-ATOMS: list[tuple[str, tuple[int, ...]]] = [
-    ("22", (0, )),  # 0
-    ("13112221133211322112211213322112", (71, 90, 0, 19, 2, )),  # 1
-    ("312211322212221121123222112", (1, )),  # 2
-    ("111312211312113221133211322112211213322112", (31, 19, 2, )),  # 3
-    ("1321132122211322212221121123222112", (3, )),  # 4
-    ("3113112211322112211213322112", (4, )),  # 5
-    ("111312212221121123222112", (5, )),  # 6
-    ("132112211213322112", (6, )),  # 7
-    ("31121123222112", (7, )),  # 8
-    ("111213322112", (8, )),  # 9
-    ("123222112", (9, )),  # 10
-    ("3113322112", (60, 10, )),  # 11
-    ("1113222112", (11, )),  # 12
-    ("1322112", (12, )),  # 13
-    ("311311222112", (66, 13, )),  # 14
-    ("1113122112", (14, )),  # 15
-    ("132112", (15, )),  # 16
-    ("3112", (16, )),  # 17
-    ("1112", (17, )),  # 18
-    ("12", (18, )),  # 19
-    ("3113112221133112", (66, 90, 0, 19, 26, )),  # 20
-    ("11131221131112", (20, )),  # 21
-    ("13211312", (21, )),  # 22
-    ("31132", (22, )),  # 23
-    ("111311222112", (23, 13, )),  # 24
-    ("13122112", (24, )),  # 25
-    ("32112", (25, )),  # 26
-    ("11133112", (29, 26, )),  # 27
-    ("131112", (27, )),  # 28
-    ("312", (28, )),  # 29
-    ("13221133122211332", (62, 19, 88, 0, 19, 29, )),  # 30
-    ("31131122211311122113222", (66, 30, )),  # 31
-    ("11131221131211322113322112", (31, 10, )),  # 32
-    ("13211321222113222112", (32, )),  # 33
-    ("3113112211322112", (33, )),  # 34
-    ("11131221222112", (34, )),  # 35
-    ("1321122112", (35, )),  # 36
-    ("3112112", (36, )),  # 37
-    ("1112133", (37, 91, )),  # 38
-    ("12322211331222113112211", (38, 0, 19, 42, )),  # 39
-    ("1113122113322113111221131221", (67, 39, )),  # 40
-    ("13211322211312113211", (40, )),  # 41
-    ("311322113212221", (41, )),  # 42
-    ("132211331222113112211", (62, 19, 42, )),  # 43
-    ("311311222113111221131221", (66, 43, )),  # 44
-    ("111312211312113211", (44, )),  # 45
-    ("132113212221", (45, )),  # 46
-    ("3113112211", (46, )),  # 47
-    ("11131221", (47, )),  # 48
-    ("13211", (48, )),  # 49
-    ("3112221", (60, 49, )),  # 50
-    ("1322113312211", (62, 19, 50, )),  # 51
-    ("311311222113111221", (66, 51, )),  # 52
-    ("11131221131211", (52, )),  # 53
-    ("13211321", (53, )),  # 54
-    ("311311", (54, )),  # 55
-    ("11131", (55, )),  # 56
-    ("1321133112", (56, 0, 19, 26, )),  # 57
-    ("31131112", (57, )),  # 58
-    ("111312", (58, )),  # 59
-    ("132", (59, )),  # 60
-    ("311332", (60, 19, 29, )),  # 61
-    ("1113222", (61, )),  # 62
-    ("13221133112", (62, 19, 26, )),  # 63
-    ("3113112221131112", (66, 63, )),  # 64
-    ("111312211312", (64, )),  # 65
-    ("1321132", (65, )),  # 66
-    ("311311222", (66, 60, )),  # 67
-    ("11131221133112", (67, 19, 26, )),  # 68
-    ("1321131112", (68, )),  # 69
-    ("311312", (69, )),  # 70
-    ("11132", (70, )),  # 71
-    ("13112221133211322112211213322113", (71, 90, 0, 19, 73, )),  # 72
-    ("312211322212221121123222113", (72, )),  # 73
-    ("111312211312113221133211322112211213322113", (31, 19, 73, )),  # 74
-    ("1321132122211322212221121123222113", (74, )),  # 75
-    ("3113112211322112211213322113", (75, )),  # 76
-    ("111312212221121123222113", (76, )),  # 77
-    ("132112211213322113", (77, )),  # 78
-    ("31121123222113", (78, )),  # 79
-    ("111213322113", (79, )),  # 80
-    ("123222113", (80, )),  # 81
-    ("3113322113", (60, 81, )),  # 82
-    ("1113222113", (82, )),  # 83
-    ("1322113", (83, )),  # 84
-    ("311311222113", (66, 84, )),  # 85
-    ("1113122113", (85, )),  # 86
-    ("132113", (86, )),  # 87
-    ("3113", (87, )),  # 88
-    ("1113", (88, )),  # 89
-    ("13", (89, )),  # 90
-    ("3", (90, )),  # 91
-]
-# fmt: on
-
-STARTERS = [
-    "1",
-    "11",
-    "21",
-    "1211",
-    "111221",
-    "312211",
-    "13112221",
-    "1113213211",
-    "31131211131221",
-]
-
-
-def look_and_say_length(s: str, n: int) -> int:
-    if n == 0:
-        return len(s)
-
-    if s in STARTERS:
-        return look_and_say_length(
-            "".join(f"{len(list(g))}{k}" for k, g in itertools.groupby(s)), n - 1
-        )
-
-    counts = {i: 0 for i in range(len(ATOMS))}
-    idx = next(i for i, (a, _) in enumerate(ATOMS) if s == a)
-    counts[idx] = 1
-
-    for _ in range(n):
-        c2 = {i: 0 for i in range(len(ATOMS))}
-        for i in counts:
-            for j in ATOMS[i][1]:
-                c2[j] += counts[i]
-        counts = c2
-
-    return sum(counts[i] * len(a[0]) for i, a in enumerate(ATOMS))
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any] | None:
-        yield look_and_say_length(input, 40)
-        yield look_and_say_length(input, 50)

src/holt59/aoc/2015/day11.py

@@ -1,49 +0,0 @@
-import itertools
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-
-def is_valid(p: str) -> bool:
-    if any(c in "iol" for c in p):
-        return False
-
-    if not any(
-        ord(a) + 1 == ord(b) and ord(b) + 1 == ord(c)
-        for a, b, c in zip(p, p[1:], p[2:])
-    ):
-        return False
-
-    if sum(len(list(g)) >= 2 for _, g in itertools.groupby(p)) < 2:
-        return False
-
-    return True
-
-
-assert not is_valid("hijklmmn")
-assert not is_valid("abbceffg")
-assert not is_valid("abbcegjk")
-assert is_valid("abcdffaa")
-assert is_valid("ghjaabcc")
-
-
-def increment(p: str) -> str:
-    if p[-1] == "z":
-        return increment(p[:-1]) + "a"
-    elif p[-1] in "iol":
-        return p[:-1] + chr(ord(p[-1]) + 2)
-    else:
-        return p[:-1] + chr(ord(p[-1]) + 1)
-
-
-def find_next_password(p: str) -> str:
-    while not is_valid(p):
-        p = increment(p)
-    return p
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        answer_1 = find_next_password(input)
-        yield answer_1
-        yield find_next_password(increment(answer_1))

src/holt59/aoc/2015/day12.py

@@ -1,27 +0,0 @@
-import json
-from typing import Any, Iterator, TypeAlias
-
-from ..base import BaseSolver
-
-JsonObject: TypeAlias = dict[str, "JsonObject"] | list["JsonObject"] | int | str
-
-
-def json_sum(value: JsonObject, ignore: str | None = None) -> int:
-    if isinstance(value, str):
-        return 0
-    elif isinstance(value, int):
-        return value
-    elif isinstance(value, list):
-        return sum(json_sum(v, ignore=ignore) for v in value)
-    elif ignore not in value.values():
-        return sum(json_sum(v, ignore=ignore) for v in value.values())
-    else:
-        return 0
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        data: JsonObject = json.loads(input)
-
-        yield json_sum(data)
-        yield json_sum(data, "red")

src/holt59/aoc/2015/day13.py

@@ -1,40 +0,0 @@
-import itertools
-from collections import defaultdict
-from typing import Any, Iterator, Literal, cast
-
-import parse  # type: ignore
-
-from ..base import BaseSolver
-
-
-def max_change_in_happiness(happiness: dict[str, dict[str, int]]) -> int:
-    guests = list(happiness)
-    return max(
-        sum(
-            happiness[o][d] + happiness[d][o]
-            for o, d in zip((guests[0],) + order, order + (guests[0],))
-        )
-        for order in map(tuple, itertools.permutations(guests[1:]))
-    )
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        happiness: dict[str, dict[str, int]] = defaultdict(dict)
-        for line in lines:
-            u1, gain_or_loose, hap, u2 = cast(
-                tuple[str, Literal["gain", "lose"], int, str],
-                parse.parse(  # type: ignore
-                    "{} would {} {:d} happiness units by sitting next to {}.", line
-                ),
-            )
-            happiness[u1][u2] = hap if gain_or_loose == "gain" else -hap
-
-        yield max_change_in_happiness(happiness)
-        for guest in list(happiness):
-            happiness["me"][guest] = 0
-            happiness[guest]["me"] = 0
-
-        yield max_change_in_happiness(happiness)

src/holt59/aoc/2015/day14.py

@@ -1,63 +0,0 @@
-from dataclasses import dataclass
-from typing import Any, Iterator, Literal, cast
-
-import parse  # type: ignore
-
-from ..base import BaseSolver
-
-
-@dataclass(frozen=True)
-class Reindeer:
-    name: str
-    speed: int
-    fly_time: int
-    rest_time: int
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        reindeers: list[Reindeer] = []
-        for line in lines:
-            reindeer, speed, speed_time, rest_time = cast(
-                tuple[str, int, int, int],
-                parse.parse(  # type: ignore
-                    "{} can fly {:d} km/s for {:d} seconds, "
-                    "but then must rest for {:d} seconds.",
-                    line,
-                ),
-            )
-            reindeers.append(
-                Reindeer(
-                    name=reindeer, speed=speed, fly_time=speed_time, rest_time=rest_time
-                )
-            )
-
-        target = 1000 if len(reindeers) <= 2 else 2503
-
-        states: dict[Reindeer, tuple[Literal["resting", "flying"], int]] = {
-            reindeer: ("resting", 0) for reindeer in reindeers
-        }
-        distances: dict[Reindeer, int] = {reindeer: 0 for reindeer in reindeers}
-        points: dict[Reindeer, int] = {reindeer: 0 for reindeer in reindeers}
-
-        for time in self.progress.wrap(range(target)):
-            for reindeer in reindeers:
-                if states[reindeer][0] == "flying":
-                    distances[reindeer] += reindeer.speed
-
-            top_distance = max(distances.values())
-            for reindeer in reindeers:
-                if distances[reindeer] == top_distance:
-                    points[reindeer] += 1
-
-            for reindeer in reindeers:
-                if states[reindeer][1] == time:
-                    if states[reindeer][0] == "resting":
-                        states[reindeer] = ("flying", time + reindeer.fly_time)
-                    else:
-                        states[reindeer] = ("resting", time + reindeer.rest_time)
-
-        yield max(distances.values())
-        yield max(points.values()) - 1

src/holt59/aoc/2015/day15.py

@@ -1,56 +0,0 @@
-import math
-from typing import Any, Iterator, Sequence, cast
-
-import parse  # type: ignore
-
-from ..base import BaseSolver
-
-
-def score(ingredients: list[list[int]], teaspoons: Sequence[int]) -> int:
-    return math.prod(
-        max(
-            0,
-            sum(
-                ingredient[prop] * teaspoon
-                for ingredient, teaspoon in zip(ingredients, teaspoons)
-            ),
-        )
-        for prop in range(len(ingredients[0]) - 1)
-    )
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        ingredients: list[list[int]] = []
-        for line in lines:
-            _, *scores = cast(
-                tuple[str, int, int, int, int, int],
-                parse.parse(  # type: ignore
-                    "{}: capacity {:d}, durability {:d}, flavor {:d}, "
-                    "texture {:d}, calories {:d}",
-                    line,
-                ),
-            )
-            ingredients.append(scores)
-
-        total_teaspoons = 100
-        calories: list[int] = []
-        scores: list[int] = []
-
-        for a in range(total_teaspoons + 1):
-            for b in range(total_teaspoons + 1 - a):
-                for c in range(total_teaspoons + 1 - a - b):
-                    teaspoons = (a, b, c, total_teaspoons - a - b - c)
-
-                    scores.append(score(ingredients, teaspoons))
-                    calories.append(
-                        sum(
-                            ingredient[-1] * teaspoon
-                            for ingredient, teaspoon in zip(ingredients, teaspoons)
-                        )
-                    )
-
-        yield max(scores)
-        yield max(score for score, calory in zip(scores, calories) if calory == 500)

src/holt59/aoc/2015/day16.py

@@ -1,57 +0,0 @@
-import operator as op
-import re
-from collections import defaultdict
-from typing import Any, Callable, Iterator
-
-from ..base import BaseSolver
-
-MFCSAM: dict[str, int] = {
-    "children": 3,
-    "cats": 7,
-    "samoyeds": 2,
-    "pomeranians": 3,
-    "akitas": 0,
-    "vizslas": 0,
-    "goldfish": 5,
-    "trees": 3,
-    "cars": 2,
-    "perfumes": 1,
-}
-
-
-def match(
-    aunts: list[dict[str, int]], operators: dict[str, Callable[[int, int], bool]]
-) -> int:
-    return next(
-        i
-        for i, aunt in enumerate(aunts, start=1)
-        if all(operators[k](aunt[k], MFCSAM[k]) for k in aunt)
-    )
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        aunts: list[dict[str, int]] = [
-            {
-                match[1]: int(match[2])
-                for match in re.findall(
-                    R"((?P<compound>[^:, ]+): (?P<quantity>\d+))", line
-                )
-            }
-            for line in lines
-        ]
-
-        yield match(aunts, defaultdict(lambda: op.eq))
-
-        yield match(
-            aunts,
-            defaultdict(
-                lambda: op.eq,
-                trees=op.gt,
-                cats=op.gt,
-                pomeranians=op.lt,
-                goldfish=op.lt,
-            ),
-        )

src/holt59/aoc/2015/day17.py

@@ -1,34 +0,0 @@
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-
-def iter_combinations(value: int, containers: list[int]) -> Iterator[tuple[int, ...]]:
-    if value < 0:
-        return
-
-    if value == 0:
-        yield ()
-
-    for i in range(len(containers)):
-        for combination in iter_combinations(
-            value - containers[i], containers[i + 1 :]
-        ):
-            yield (containers[i],) + combination
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        containers = [int(c) for c in input.split()]
-        total = 25 if len(containers) <= 5 else 150
-
-        combinations = [
-            combination for combination in iter_combinations(total, containers)
-        ]
-
-        yield len(combinations)
-
-        min_containers = min(len(combination) for combination in combinations)
-        yield sum(
-            1 for combination in combinations if len(combination) == min_containers
-        )

src/holt59/aoc/2015/day18.py

@@ -1,66 +0,0 @@
-import itertools
-from typing import Any, Iterator
-
-import numpy as np
-from numpy.typing import NDArray
-
-from ..base import BaseSolver
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        grid0 = np.array([[c == "#" for c in line] for line in input.splitlines()])
-
-        # add an always off circle around
-        grid0 = np.concatenate(
-            [
-                np.zeros((grid0.shape[0] + 2, 1), dtype=bool),
-                np.concatenate(
-                    [
-                        np.zeros((1, grid0.shape[1]), dtype=bool),
-                        grid0,
-                        np.zeros((1, grid0.shape[1]), dtype=bool),
-                    ]
-                ),
-                np.zeros((grid0.shape[0] + 2, 1), dtype=bool),
-            ],
-            axis=1,
-        )
-
-        moves = list(itertools.product([-1, 0, 1], repeat=2))
-        moves.remove((0, 0))
-
-        jjs, iis = np.meshgrid(
-            np.arange(1, grid0.shape[0] - 1, dtype=int),
-            np.arange(1, grid0.shape[1] - 1, dtype=int),
-        )
-        iis, jjs = iis.flatten(), jjs.flatten()
-
-        ins = iis[:, None] + np.array(moves)[:, 0]
-        jns = jjs[:, None] + np.array(moves)[:, 1]
-
-        def game_of_life(grid: NDArray[np.bool_]) -> NDArray[np.bool_]:
-            neighbors_on = grid[ins, jns].sum(axis=1)
-            cells_on = grid[iis, jjs]
-
-            grid = np.zeros_like(grid)
-            grid[iis, jjs] = (neighbors_on == 3) | (cells_on & (neighbors_on == 2))
-
-            return grid
-
-        grid = grid0
-        n_steps = 4 if len(grid) < 10 else 100
-        for _ in range(n_steps):
-            grid = game_of_life(grid)
-
-        yield grid.sum()
-
-        n_steps = 5 if len(grid) < 10 else 100
-        grid = grid0
-        for _ in range(n_steps):
-            grid[[1, 1, -2, -2], [1, -2, 1, -2]] = True
-            grid = game_of_life(grid)
-
-        grid[[1, 1, -2, -2], [1, -2, 1, -2]] = True
-
-        yield sum(cell for line in grid for cell in line)

src/holt59/aoc/2015/day19.py

@@ -1,57 +0,0 @@
-from collections import defaultdict
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        replacements_s, molecule = input.split("\n\n")
-
-        REPLACEMENTS: dict[str, list[str]] = defaultdict(list)
-        for replacement_s in replacements_s.splitlines():
-            p = replacement_s.split(" => ")
-            REPLACEMENTS[p[0]].append(p[1])
-        molecule = molecule.strip()
-
-        generated = [
-            molecule[:i] + replacement + molecule[i + len(symbol) :]
-            for symbol, replacements in REPLACEMENTS.items()
-            for replacement in replacements
-            for i in range(len(molecule))
-            if molecule[i:].startswith(symbol)
-        ]
-
-        yield len(set(generated))
-
-        inversion: dict[str, str] = {
-            replacement: symbol
-            for symbol, replacements in REPLACEMENTS.items()
-            for replacement in replacements
-        }
-
-        # there is actually only one way to create the molecule, and we can greedily replace
-        # tokens with their replacements, e.g., if H => OH then we can replace OH by H directly
-        # without thinking
-
-        count = 0
-        while molecule != "e":
-            i = 0
-            m2 = ""
-            while i < len(molecule):
-                found = False
-                for replacement in inversion:
-                    if molecule[i:].startswith(replacement):
-                        m2 += inversion[replacement]
-                        i += len(replacement)
-                        count += 1
-                        found = True
-                        break
-
-                if not found:
-                    m2 += molecule[i]
-                    i += 1
-
-            molecule = m2
-
-        yield count

src/holt59/aoc/2015/day2.py

@@ -1,24 +0,0 @@
-from typing import Any, Iterator
-
-import numpy as np
-
-from ..base import BaseSolver
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        length, width, height = np.array(
-            [[int(c) for c in line.split("x")] for line in input.splitlines()]
-        ).T
-
-        lw, wh, hl = (length * width, width * height, height * length)
-
-        yield np.sum(2 * (lw + wh + hl) + np.min(np.stack([lw, wh, hl]), axis=0))
-
-        yield np.sum(
-            length * width * height
-            + 2
-            * np.min(
-                np.stack([length + width, length + height, height + width]), axis=0
-            )
-        )

src/holt59/aoc/2015/day20.py

@@ -1,29 +0,0 @@
-import itertools
-from typing import Any, Iterator
-
-from ..base import BaseSolver
-
-
-def presents(n: int, elf: int, max: int) -> int:
-    count = 0
-    k = 1
-    while k * k < n:
-        if n % k == 0:
-            if n // k <= max:
-                count += elf * k
-            if k <= max:
-                count += elf * (n // k)
-        k += 1
-
-    if k * k == n and k <= max:
-        count += elf * k
-
-    return count
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        target = int(input)
-
-        yield next(n for n in itertools.count(1) if presents(n, 10, target) >= target)
-        yield next(n for n in itertools.count(1) if presents(n, 11, 50) >= target)

src/holt59/aoc/2015/day21.py

@@ -1,64 +0,0 @@
-import itertools
-from math import ceil
-from typing import Any, Iterator, TypeAlias
-
-from ..base import BaseSolver
-
-Modifier: TypeAlias = tuple[str, int, int, int]
-
-WEAPONS: list[Modifier] = [
-    ("Dagger", 8, 4, 0),
-    ("Shortsword", 10, 5, 0),
-    ("Warhammer", 25, 6, 0),
-    ("Longsword", 40, 7, 0),
-    ("Greataxe", 74, 8, 0),
-]
-
-ARMORS: list[Modifier] = [
-    ("", 0, 0, 0),
-    ("Leather", 13, 0, 1),
-    ("Chainmail", 31, 0, 2),
-    ("Splintmail", 53, 0, 3),
-    ("Bandedmail", 75, 0, 4),
-    ("Platemail", 102, 0, 5),
-]
-
-RINGS: list[Modifier] = [
-    ("", 0, 0, 0),
-    ("Damage +1", 25, 1, 0),
-    ("Damage +2", 50, 2, 0),
-    ("Damage +3", 100, 3, 0),
-    ("Defense +1", 20, 0, 1),
-    ("Defense +2", 40, 0, 2),
-    ("Defense +3", 80, 0, 3),
-]
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        player_hp = 100
-
-        boss_attack = int(lines[1].split(":")[1].strip())
-        boss_armor = int(lines[2].split(":")[1].strip())
-        boss_hp = int(lines[0].split(":")[1].strip())
-
-        min_cost, max_cost = 1_000_000, 0
-        for equipments in itertools.product(WEAPONS, ARMORS, RINGS, RINGS):
-            if equipments[-1][0] != "" and equipments[-2] == equipments[-1]:
-                continue
-
-            cost, player_attack, player_armor = (
-                sum(equipment[1:][k] for equipment in equipments) for k in range(3)
-            )
-
-            if ceil(boss_hp / max(1, player_attack - boss_armor)) <= ceil(
-                player_hp / max(1, boss_attack - player_armor)
-            ):
-                min_cost = min(cost, min_cost)
-            else:
-                max_cost = max(cost, max_cost)
-
-        yield min_cost
-        yield max_cost

src/holt59/aoc/2015/day22.py

@@ -1,181 +0,0 @@
-from __future__ import annotations
-
-import heapq
-from typing import Any, Iterator, Literal, TypeAlias, cast
-
-from ..base import BaseSolver
-
-PlayerType: TypeAlias = Literal["player", "boss"]
-SpellType: TypeAlias = Literal["magic missile", "drain", "shield", "poison", "recharge"]
-BuffType: TypeAlias = Literal["shield", "poison", "recharge"]
-Node: TypeAlias = tuple[
-    PlayerType,
-    int,
-    int,
-    int,
-    int,
-    int,
-    tuple[tuple[BuffType, int], ...],
-    tuple[tuple[SpellType, int], ...],
-]
-
-ATTACK_SPELLS: list[tuple[SpellType, int, int, int]] = [
-    ("magic missile", 53, 4, 0),
-    ("drain", 73, 2, 2),
-]
-BUFF_SPELLS: list[tuple[BuffType, int, int]] = [
-    ("shield", 113, 6),
-    ("poison", 173, 6),
-    ("recharge", 229, 5),
-]
-
-
-def play(
-    player_hp: int,
-    player_mana: int,
-    player_armor: int,
-    boss_hp: int,
-    boss_attack: int,
-    hard_mode: bool,
-) -> tuple[tuple[SpellType, int], ...]:
-    winning_node: tuple[tuple[SpellType, int], ...] | None = None
-
-    visited: set[
-        tuple[PlayerType, int, int, int, int, tuple[tuple[BuffType, int], ...]]
-    ] = set()
-    nodes: list[Node] = [
-        ("player", 0, player_hp, player_mana, player_armor, boss_hp, (), ())
-    ]
-
-    while winning_node is None:
-        (
-            player,
-            mana,
-            player_hp,
-            player_mana,
-            player_armor,
-            boss_hp,
-            buffs,
-            spells,
-        ) = heapq.heappop(nodes)
-
-        if (player, player_hp, player_mana, player_armor, boss_hp, buffs) in visited:
-            continue
-
-        visited.add((player, player_hp, player_mana, player_armor, boss_hp, buffs))
-        new_buffs: list[tuple[BuffType, int]] = []
-        for buff, length in buffs:
-            length = length - 1
-            match buff:
-                case "poison":
-                    boss_hp = max(boss_hp - 3, 0)
-                case "shield":
-                    if length == 0:
-                        player_armor -= 7
-                case "recharge":
-                    player_mana += 101
-
-            if length > 0:
-                new_buffs.append((buff, length))
-
-        if hard_mode and player == "player":
-            player_hp = player_hp - 1
-
-        if player_hp <= 0:
-            continue
-
-        if boss_hp <= 0:
-            winning_node = spells
-            continue
-
-        buffs = tuple(new_buffs)
-
-        if player == "boss":
-            heapq.heappush(
-                nodes,
-                (
-                    "player",
-                    mana,
-                    max(0, player_hp - max(boss_attack - player_armor, 1)),
-                    player_mana,
-                    player_armor,
-                    boss_hp,
-                    buffs,
-                    spells,
-                ),
-            )
-        else:
-            buff_types = {b for b, _ in buffs}
-
-            for spell, cost, damage, regeneration in ATTACK_SPELLS:
-                if player_mana < cost:
-                    continue
-
-                heapq.heappush(
-                    nodes,
-                    (
-                        "boss",
-                        mana + cost,
-                        player_hp + regeneration,
-                        player_mana - cost,
-                        player_armor,
-                        max(0, boss_hp - damage),
-                        buffs,
-                        spells + cast("tuple[tuple[SpellType, int]]", ((spell, cost),)),
-                    ),
-                )
-
-            for buff_type, buff_cost, buff_length in BUFF_SPELLS:
-                if buff_type in buff_types:
-                    continue
-
-                if player_mana < buff_cost:
-                    continue
-
-                heapq.heappush(
-                    nodes,
-                    (
-                        "boss",
-                        mana + buff_cost,
-                        player_hp,
-                        player_mana - buff_cost,
-                        player_armor + 7 * (buff_type == "shield"),
-                        boss_hp,
-                        buffs
-                        + cast(
-                            "tuple[tuple[BuffType, int]]", ((buff_type, buff_length),)
-                        ),
-                        spells
-                        + cast(
-                            "tuple[tuple[SpellType, int]]", ((buff_type, buff_cost),)
-                        ),
-                    ),
-                )
-
-    return winning_node
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
-
-        player_hp = 50
-        player_mana = 500
-        player_armor = 0
-
-        boss_hp = int(lines[0].split(":")[1].strip())
-        boss_attack = int(lines[1].split(":")[1].strip())
-
-        yield sum(
-            c
-            for _, c in play(
-                player_hp, player_mana, player_armor, boss_hp, boss_attack, False
-            )
-        )
-
-        yield sum(
-            c
-            for _, c in play(
-                player_hp, player_mana, player_armor, boss_hp, boss_attack, True
-            )
-        )

src/holt59/aoc/2015/day23.py

@@ -1,107 +0,0 @@
-import inspect
-from typing import Any, Callable, Final, Iterator, Mapping
-
-from ..base import BaseSolver
-
-
-class Instruction:
-    def __init__(self, fn: Callable[..., None]):
-        self._fn = fn
-
-        args = inspect.getfullargspec(fn)
-
-        self._argtypes = [args.annotations[arg] for arg in args.args[1:]]
-
-    def __call__(self, args: tuple[str, ...]):
-        self._fn(
-            *(argtype(arg) for arg, argtype in zip(args, self._argtypes, strict=True))
-        )
-
-
-class Machine:
-    def __init__(
-        self, instructions: list[str], registers: dict[str, int] = {"a": 0, "b": 1}
-    ):
-        self.instructions: Final = [
-            (part[0], tuple(arg.strip() for arg in " ".join(part[1:]).split(",")))
-            for instruction in instructions
-            if (part := instruction.split())
-        ]
-
-        self._fns = {
-            name: Instruction(getattr(self, name))
-            for name in ("hlf", "tpl", "inc", "jmp", "jie", "jio")
-        }
-
-        self._registers = registers.copy()
-        self._ip = 0
-
-    @property
-    def registers(self) -> Mapping[str, int]:
-        return self._registers
-
-    @property
-    def ip(self) -> int:
-        return self._ip
-
-    def reset(self, registers: dict[str, int] = {"a": 0, "b": 0}):
-        self._registers = registers.copy()
-        self._ip = 0
-
-    def hlf(self, register: str):
-        self._registers[register] //= 2
-        self._ip += 1
-
-    def tpl(self, register: str):
-        self._registers[register] *= 3
-        self._ip += 1
-
-    def inc(self, register: str):
-        self._registers[register] += 1
-        self._ip += 1
-
-    def jmp(self, offset: int):
-        self._ip += offset
-        assert 0 <= self._ip < len(self.instructions)
-
-    def jie(self, register: str, offset: int):
-        if self._registers[register] % 2 == 0:
-            self._ip += offset
-        else:
-            self._ip += 1
-
-    def jio(self, register: str, offset: int):
-        if self._registers[register] == 1:
-            self._ip += offset
-        else:
-            self._ip += 1
-
-    def _exec(self) -> bool:
-        # execute next instruction
-        if self._ip >= len(self.instructions):
-            return False
-
-        ins, args = self.instructions[self._ip]
-
-        if ins not in self._fns:
-            return False
-
-        self._fns[ins](args)
-        return True
-
-    def run(self):
-        while self._exec():
-            ...
-        return self.registers
-
-
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
-        machine = Machine(input.splitlines())
-
-        registers = machine.run()
-        yield registers["b"]
-
-        machine.reset({"a": 1, "b": 0})
-        registers = machine.run()
-        yield registers["b"]