Start fixing 2015 for new API.

.drone.yml

@@ -0,0 +1,12 @@
+---
+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 +1,6 @@
+# python / VS Code
 venv
+__pycache__
+.ruff_cache
+.vscode
+build

2022/day15.py

@@ -1,90 +0,0 @@
-# -*- 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

@@ -1,270 +0,0 @@
-# -*- encoding: utf-8 -*-
-
-from __future__ import annotations
-
-import heapq
-import itertools
-import re
-import sys
-import time as time_p
-from collections import defaultdict
-from typing import FrozenSet, NamedTuple
-
-from tqdm import tqdm, trange
-
-
-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,
-    pipes: dict[str, Pipe],
-    relevant_pipes: FrozenSet[Pipe],
-    distances: dict[tuple[Pipe, Pipe], int],
-):
-
-    node_at_times: dict[
-        int, dict[tuple[Pipe, Pipe], dict[FrozenSet[Pipe], int]]
-    ] = defaultdict(lambda: defaultdict(lambda: defaultdict(lambda: 0)))
-    node_at_times[0] = {(start_pipe, start_pipe): {frozenset(): 0}}
-
-    # map node + distance to
-    d1, d2, d3, d4 = 0, 0, 0, 0
-    best_flow = 0
-
-    for time in range(max_time):
-        print(
-            f"{time + 1:2d}/{max_time} - {best_flow:4d} - "
-            f"{sum(map(len, node_at_times[time].values())):7d} - "
-            f"{d1:.3f} {d2:.3f} {d3:.3f} {d4:.3f}"
-        )
-
-        d1, d2, d3, d4 = 0, 0, 0, 0
-        for (c_pipe, e_pipe), nodes in node_at_times[time].items():
-            for flowing, flow in nodes.items():
-
-                t1 = time_p.time()
-
-                c_best_flow = (
-                    flow
-                    + sum(pipe.flow for pipe in flowing) * (max_time - time)
-                    + sum(
-                        (
-                            pipe.flow
-                            * (
-                                max_time
-                                - time
-                                - 1
-                                - min(distances[c_pipe, pipe], distances[e_pipe, pipe])
-                            )
-                            for pipe in relevant_pipes
-                            if pipe not in flowing
-                        ),
-                        start=0,
-                    )
-                )
-
-                d1 += time_p.time() - t1
-
-                if c_best_flow < best_flow:
-                    continue
-
-                best_flow = max(
-                    best_flow,
-                    flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
-                )
-
-                t1 = time_p.time()
-
-                if flowing != relevant_pipes:
-                    for c_next_s, e_next_s in itertools.product(
-                        c_pipe.tunnels, e_pipe.tunnels
-                    ):
-
-                        c_next = pipes[c_next_s]
-                        e_next = pipes[e_next_s]
-                        update_with_better(
-                            node_at_times[time + 1][c_next, e_next],
-                            flow + sum(pipe.flow for pipe in flowing),
-                            flowing,
-                        )
-
-                d2 += time_p.time() - t1
-
-                t1 = time_p.time()
-
-                if c_pipe in relevant_pipes and c_pipe not in flowing:
-                    for e_next_s in e_pipe.tunnels:
-
-                        e_next = pipes[e_next_s]
-
-                        update_with_better(
-                            node_at_times[time + 1][c_pipe, e_next],
-                            flow + sum(pipe.flow for pipe in flowing),
-                            flowing | {c_pipe},
-                        )
-
-                if e_pipe in relevant_pipes and e_pipe not in flowing:
-                    for c_next_s in c_pipe.tunnels:
-
-                        c_next = pipes[c_next_s]
-
-                        update_with_better(
-                            node_at_times[time + 1][c_next, e_pipe],
-                            flow + sum(pipe.flow for pipe in flowing),
-                            flowing | {e_pipe},
-                        )
-
-                if (
-                    e_pipe in relevant_pipes
-                    and c_pipe in relevant_pipes
-                    and e_pipe not in flowing
-                    and c_pipe not in flowing
-                ):
-                    update_with_better(
-                        node_at_times[time + 1][c_pipe, e_pipe],
-                        flow + sum(pipe.flow for pipe in flowing),
-                        flowing | {c_pipe, e_pipe},
-                    )
-
-                update_with_better(
-                    node_at_times[max_time][c_pipe, e_pipe],
-                    flow + sum(pipe.flow for pipe in flowing) * (max_time - time),
-                    flowing,
-                )
-
-                d3 += time_p.time() - t1
-
-    return max(
-        flow
-        for nodes_of_pipe in node_at_times[max_time].values()
-        for flow in nodes_of_pipe.values()
-    )
-
-
-# === 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, pipes, relevant_pipes, distances))

2023/day1.py

@@ -1,45 +0,0 @@
-import sys
-
-lines = sys.stdin.read().splitlines()
-
-lookups_1 = {str(d): d for d in range(1, 10)}
-lookups_2 = lookups_1 | {
-    d: i + 1
-    for i, d in enumerate(
-        (
-            "one",
-            "two",
-            "three",
-            "four",
-            "five",
-            "six",
-            "seven",
-            "eight",
-            "nine",
-        )
-    )
-}
-
-
-def find_values(lookups: dict[str, int]) -> list[int]:
-    values: list[int] = []
-
-    for line in filter(bool, lines):
-        first_digit = min(
-            lookups,
-            key=lambda lookup: index
-            if (index := line.find(lookup)) >= 0
-            else len(line),
-        )
-        last_digit = max(
-            lookups,
-            key=lambda lookup: index if (index := line.rfind(lookup)) >= 0 else -1,
-        )
-
-        values.append(10 * lookups[first_digit] + lookups[last_digit])
-
-    return values
-
-
-print(f"answer 1 is {sum(find_values(lookups_1))}")
-print(f"answer 2 is {sum(find_values(lookups_2))}")

2023/day2.py

@@ -1,45 +0,0 @@
-import operator
-import sys
-from functools import reduce
-from typing import Literal, TypeAlias, cast
-
-CubeType: TypeAlias = Literal["red", "blue", "green"]
-
-MAX_CUBES: dict[CubeType, int] = {"red": 12, "green": 13, "blue": 14}
-
-# parse games
-lines = sys.stdin.read().splitlines()
-games: dict[int, list[dict[CubeType, int]]] = {}
-for line in filter(bool, lines):
-    id_part, sets_part = line.split(":")
-
-    games[int(id_part.split(" ")[-1])] = [
-        {
-            cast(CubeType, s[1]): int(s[0])
-            for cube_draw in cube_set_s.strip().split(", ")
-            if (s := cube_draw.split(" "))
-        }
-        for cube_set_s in sets_part.strip().split(";")
-    ]
-
-# part 1
-answer_1 = sum(
-    id
-    for id, set_of_cubes in games.items()
-    if all(
-        n_cubes <= MAX_CUBES[cube]
-        for cube_set in set_of_cubes
-        for cube, n_cubes in cube_set.items()
-    )
-)
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = sum(
-    reduce(
-        operator.mul,
-        (max(cube_set.get(cube, 0) for cube_set in set_of_cubes) for cube in MAX_CUBES),
-    )
-    for set_of_cubes in games.values()
-)
-print(f"answer 2 is {answer_2}")

2023/day3.py

@@ -1,53 +0,0 @@
-import string
-import sys
-from collections import defaultdict
-
-NOT_A_SYMBOL = "." + string.digits
-
-lines = sys.stdin.read().splitlines()
-
-values: list[int] = []
-gears: dict[tuple[int, int], list[int]] = defaultdict(list)
-
-for i, line in enumerate(lines):
-    j = 0
-    while j < len(line):
-        # skip everything until a digit is found (start of a number)
-        if line[j] not in string.digits:
-            j += 1
-            continue
-
-        # extract the range of the number and its value
-        k = j + 1
-        while k < len(line) and line[k] in string.digits:
-            k += 1
-
-        value = int(line[j:k])
-
-        # lookup around the number if there is a symbol - we go through the number
-        # itself but that should not matter since it only contains digits
-        found = False
-        for i2 in range(max(0, i - 1), min(i + 1, len(lines) - 1) + 1):
-            for j2 in range(max(0, j - 1), min(k, len(line) - 1) + 1):
-                assert i2 >= 0 and i2 < len(lines)
-                assert j2 >= 0 and j2 < len(line)
-
-                if lines[i2][j2] not in NOT_A_SYMBOL:
-                    found = True
-
-                    if lines[i2][j2] == "*":
-                        gears[i2, j2].append(value)
-
-        if found:
-            values.append(value)
-
-        # continue starting from the end of the number
-        j = k
-
-# part 1
-answer_1 = sum(values)
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = sum(v1 * v2 for v1, v2 in filter(lambda vs: len(vs) == 2, gears.values()))
-print(f"answer 2 is {answer_2}")

2023/day4.py

@@ -1,41 +0,0 @@
-import sys
-from dataclasses import dataclass
-
-
-@dataclass(frozen=True)
-class Card:
-    id: int
-    numbers: list[int]
-    values: list[int]
-
-
-lines = sys.stdin.read().splitlines()
-
-cards: list[Card] = []
-for line in lines:
-    id_part, e_part = line.split(":")
-    numbers_s, values_s = e_part.split("|")
-    cards.append(
-        Card(
-            id=int(id_part.split()[1]),
-            numbers=[int(v.strip()) for v in numbers_s.strip().split()],
-            values=[int(v.strip()) for v in values_s.strip().split()],
-        )
-    )
-
-winnings = [sum(1 for n in card.values if n in card.numbers) for card in cards]
-
-# part 1
-answer_1 = sum(2 ** (winning - 1) for winning in winnings if winning > 0)
-print(f"answer 1 is {answer_1}")
-
-# part 2
-card2cards = {i: list(range(i + 1, i + w + 1)) for i, w in enumerate(winnings)}
-card2values = {i: 0 for i in range(len(cards))}
-
-for i in range(len(cards)):
-    card2values[i] += 1
-    for j in card2cards[i]:
-        card2values[j] += card2values[i]
-
-print(f"answer 2 is {sum(card2values.values())}")

2023/day5.py

@@ -1,129 +0,0 @@
-import sys
-from typing import Sequence
-
-MAP_ORDER = [
-    "seed",
-    "soil",
-    "fertilizer",
-    "water",
-    "light",
-    "temperature",
-    "humidity",
-    "location",
-]
-
-lines = sys.stdin.read().splitlines()
-
-# mappings from one category to another, each list contains
-# ranges stored as (source, target, length), ordered by start and
-# completed to have no "hole"
-maps: dict[tuple[str, str], list[tuple[int, int, int]]] = {}
-
-# parsing
-index = 2
-while index < len(lines):
-    p1, _, p2 = lines[index].split()[0].split("-")
-
-    # extract the existing ranges from the file - we store as (source, target, length)
-    # whereas the file is in order (target, source, length)
-    index += 1
-    values: list[tuple[int, int, int]] = []
-    while index < len(lines) and lines[index]:
-        n1, n2, n3 = lines[index].split()
-        values.append((int(n2), int(n1), int(n3)))
-        index += 1
-
-    # sort by source value
-    values.sort()
-
-    # add a 'fake' interval starting at 0 if missing
-    if values[0][0] != 0:
-        values.insert(0, (0, 0, values[0][0]))
-
-    # fill gaps between intervals
-    for i in range(len(values) - 1):
-        next_start = values[i + 1][0]
-        end = values[i][0] + values[i][2]
-        if next_start != end:
-            values.insert(
-                i + 1,
-                (end, end, next_start - end),
-            )
-
-    # add an interval covering values up to at least 2**32 at the end
-    last_start, _, last_length = values[-1]
-    values.append((last_start + last_length, last_start + last_length, 2**32))
-
-    assert all(v1[0] + v1[2] == v2[0] for v1, v2 in zip(values[:-1], values[1:]))
-    assert values[0][0] == 0
-    assert values[-1][0] + values[-1][-1] >= 2**32
-
-    maps[p1, p2] = values
-    index += 1
-
-
-def find_range(
-    values: tuple[int, int], map: list[tuple[int, int, int]]
-) -> list[tuple[int, int]]:
-    """
-    Given an input range, use the given mapping to find the corresponding list of
-    ranges in the target domain.
-    """
-    r_start, r_length = values
-    ranges: list[tuple[int, int]] = []
-
-    # find index of the first and last intervals in map that overlaps the input
-    # interval
-    index_start, index_end = -1, -1
-
-    for index_start, (start, _, length) in enumerate(map):
-        if start <= r_start and start + length > r_start:
-            break
-
-    for index_end, (start, _, length) in enumerate(
-        map[index_start:], start=index_start
-    ):
-        if r_start + r_length >= start and r_start + r_length < start + length:
-            break
-
-    assert index_start >= 0 and index_end >= 0
-
-    # special case if one interval contains everything
-    if index_start == index_end:
-        start, target, length = map[index_start]
-        ranges.append((target + r_start - start, r_length))
-    else:
-        # add the start interval part
-        start, target, length = map[index_start]
-        ranges.append((target + r_start - start, start + length - r_start))
-
-        # add all intervals between the first and last (excluding both)
-        index = index_start + 1
-        while index < index_end:
-            start, target, length = map[index]
-            ranges.append((target, length))
-            index += 1
-
-        # add the last interval
-        start, target, length = map[index_end]
-        ranges.append((target, r_start + r_length - start))
-
-    return ranges
-
-
-def find_location_ranges(seeds: Sequence[tuple[int, int]]) -> Sequence[tuple[int, int]]:
-    for map1, map2 in zip(MAP_ORDER[:-1], MAP_ORDER[1:]):
-        seeds = [s2 for s1 in seeds for s2 in find_range(s1, maps[map1, map2])]
-    return seeds
-
-
-# part 1 - use find_range() with range of length 1
-seeds_p1 = [(int(s), 1) for s in lines[0].split(":")[1].strip().split()]
-answer_1 = min(start for start, _ in find_location_ranges(seeds_p1))
-print(f"answer 1 is {answer_1}")
-
-# # part 2
-parts = lines[0].split(":")[1].strip().split()
-seeds_p2 = [(int(s), int(e)) for s, e in zip(parts[::2], parts[1::2])]
-answer_2 = min(start for start, _ in find_location_ranges(seeds_p2))
-print(f"answer 2 is {answer_2}")

2023/day6.py

@@ -1,13 +0,0 @@
-import sys
-from collections import defaultdict
-from dataclasses import dataclass
-
-lines = sys.stdin.read().splitlines()
-
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")

2023/day7.py

@@ -1,13 +0,0 @@
-import sys
-from collections import defaultdict
-from dataclasses import dataclass
-
-lines = sys.stdin.read().splitlines()
-
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")

2023/day8.py

@@ -1,13 +0,0 @@
-import sys
-from collections import defaultdict
-from dataclasses import dataclass
-
-lines = sys.stdin.read().splitlines()
-
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")

2023/day9.py

@@ -1,13 +0,0 @@
-import sys
-from collections import defaultdict
-from dataclasses import dataclass
-
-lines = sys.stdin.read().splitlines()
-
-# part 1
-answer_1 = ...
-print(f"answer 1 is {answer_1}")
-
-# part 2
-answer_2 = ...
-print(f"answer 2 is {answer_2}")

README.md

@@ -1,7 +1,36 @@
-# Advent Of Code
+# Holt59 - Advent Of Code
 
-To run any script, you need to pipe the input:
+Installation (with [`poetry`](https://python-poetry.org/)):
 
 ```bash
-cat 2022/inputs/day2.txt | python 2022/day2.py
+poetry install
+```
+
+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

@@ -0,0 +1,43 @@
+[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"
+scipy = "^1.14.1"
+sympy = "^1.13.3"
+networkx = "^3.4.2"
+pandas = "^2.2.3"
+
+[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.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

@@ -1,11 +0,0 @@
-param(
-    [switch]$Test,
-    [PSDefaultValue()]
-    [Parameter(Mandatory = $false)]
-    $Year = 2023,
-    [Parameter(Mandatory = $true, Position = 0)]
-    $Day)
-
-$folder = $Test ? "tests" : "inputs"
-
-Get-Content ".\$Year\$folder\day$Day.txt" | python ".\$Year\day$Day.py"

src/holt59/aoc/2015/day1.py

@@ -0,0 +1,12 @@
+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

@@ -0,0 +1,147 @@
+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

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

@@ -0,0 +1,27 @@
+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

@@ -0,0 +1,40 @@
+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

@@ -0,0 +1,63 @@
+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

@@ -0,0 +1,56 @@
+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

@@ -0,0 +1,57 @@
+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

@@ -0,0 +1,34 @@
+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

@@ -0,0 +1,66 @@
+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

@@ -0,0 +1,58 @@
+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
+
+            # print(m2)
+            molecule = m2
+
+        yield count

src/holt59/aoc/2015/day2.py

@@ -0,0 +1,24 @@
+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

@@ -0,0 +1,29 @@
+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

@@ -0,0 +1,64 @@
+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

@@ -0,0 +1,182 @@
+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
+            )
+        )
+
+        # 1242 (not working)
+        yield sum(
+            c
+            for _, c in play(
+                player_hp, player_mana, player_armor, boss_hp, boss_attack, True
+            )
+        )

src/holt59/aoc/2015/day3.py

@@ -0,0 +1,33 @@
+from collections import defaultdict
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+
+def process(directions: str) -> dict[tuple[int, int], int]:
+    counts: dict[tuple[int, int], int] = defaultdict(lambda: 0)
+    counts[0, 0] = 1
+    x, y = (0, 0)
+
+    for c in directions:
+        match c:
+            case ">":
+                x += 1
+            case "<":
+                x -= 1
+            case "^":
+                y -= 1
+            case "v":
+                y += 1
+            case _:
+                raise ValueError()
+
+        counts[x, y] += 1
+
+    return counts
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        yield len(process(input))
+        yield len(process(input[::2]) | process(input[1::2]))

src/holt59/aoc/2015/day4.py

@@ -0,0 +1,20 @@
+import hashlib
+import itertools
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        it = iter(itertools.count(1))
+        yield next(
+            i
+            for i in it
+            if hashlib.md5(f"{input}{i}".encode()).hexdigest().startswith("00000")
+        )
+        yield next(
+            i
+            for i in it
+            if hashlib.md5(f"{input}{i}".encode()).hexdigest().startswith("000000")
+        )

src/holt59/aoc/2015/day5.py

@@ -0,0 +1,36 @@
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+VOWELS = "aeiou"
+FORBIDDEN = {"ab", "cd", "pq", "xy"}
+
+
+def is_nice_1(s: str) -> bool:
+    if sum(c in VOWELS for c in s) < 3:
+        return False
+
+    if not any(a == b for a, b in zip(s[:-1:], s[1::])):
+        return False
+
+    if any(s.find(f) >= 0 for f in FORBIDDEN):
+        return False
+
+    return True
+
+
+def is_nice_2(s: str) -> bool:
+    if not any(s.find(s[i : i + 2], i + 2) >= 0 for i in range(len(s))):
+        return False
+
+    if not any(a == b for a, b in zip(s[:-1:], s[2::])):
+        return False
+
+    return True
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+        yield sum(map(is_nice_1, lines))
+        yield sum(map(is_nice_2, lines))

src/holt59/aoc/2015/day6.py

@@ -0,0 +1,32 @@
+from typing import Any, Iterator, Literal, cast
+
+import numpy as np
+import parse  # type: ignore
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lights_1 = np.zeros((1000, 1000), dtype=bool)
+        lights_2 = np.zeros((1000, 1000), dtype=int)
+        for line in input.splitlines():
+            action, sx, sy, ex, ey = cast(
+                tuple[Literal["turn on", "turn off", "toggle"], int, int, int, int],
+                parse.parse("{} {:d},{:d} through {:d},{:d}", line),  # type: ignore
+            )
+            ex, ey = ex + 1, ey + 1
+
+            match action:
+                case "turn on":
+                    lights_1[sx:ex, sy:ey] = True
+                    lights_2[sx:ex, sy:ey] += 1
+                case "turn off":
+                    lights_1[sx:ex, sy:ey] = False
+                    lights_2[sx:ex, sy:ey] = np.maximum(lights_2[sx:ex, sy:ey] - 1, 0)
+                case "toggle":
+                    lights_1[sx:ex, sy:ey] = ~lights_1[sx:ex, sy:ey]
+                    lights_2[sx:ex, sy:ey] += 2
+
+        yield lights_1.sum()
+        yield lights_2.sum()

src/holt59/aoc/2015/day7.py

@@ -0,0 +1,96 @@
+import operator
+from typing import Any, Callable, Iterator
+
+from ..base import BaseSolver
+
+OPERATORS = {
+    "AND": operator.and_,
+    "OR": operator.or_,
+    "LSHIFT": operator.lshift,
+    "RSHIFT": operator.rshift,
+}
+
+ValueGetter = Callable[[dict[str, int]], int]
+Signals = dict[
+    str,
+    tuple[
+        tuple[str, str],
+        tuple[ValueGetter, ValueGetter],
+        Callable[[int, int], int],
+    ],
+]
+
+
+def zero_op(_a: int, _b: int) -> int:
+    return 0
+
+
+def value_of(key: str) -> tuple[str, Callable[[dict[str, int]], int]]:
+    try:
+        return "", lambda _p, _v=int(key): _v
+    except ValueError:
+        return key, lambda values: values[key]
+
+
+def process(
+    signals: Signals,
+    values: dict[str, int],
+) -> dict[str, int]:
+    while signals:
+        signal = next(s for s in signals if all(p in values for p in signals[s][0]))
+        _, deps, command = signals[signal]
+        values[signal] = command(deps[0](values), deps[1](values)) % 65536
+        del signals[signal]
+
+    return values
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any] | None:
+        lines = input.splitlines()
+
+        signals: Signals = {}
+        values: dict[str, int] = {"": 0}
+
+        for line in lines:
+            command, signal = line.split(" -> ")
+
+            if command.startswith("NOT"):
+                name = command.split(" ")[1]
+                signals[signal] = (
+                    (name, ""),
+                    (lambda values, _n=name: values[_n], lambda _v: 0),
+                    lambda a, _b: ~a,
+                )
+
+            elif not any(command.find(name) >= 0 for name in OPERATORS):
+                try:
+                    values[signal] = int(command)
+                except ValueError:
+                    signals[signal] = (
+                        (command, ""),
+                        (lambda values, _c=command: values[_c], lambda _v: 0),
+                        lambda a, _b: a,
+                    )
+
+            else:
+                op: Callable[[int, int], int] = zero_op
+                lhs_s, rhs_s = "", ""
+
+                for name in OPERATORS:
+                    if command.find(name) >= 0:
+                        op = OPERATORS[name]
+                        lhs_s, rhs_s = command.split(f" {name} ")
+                        break
+
+                lhs_s, lhs_fn = value_of(lhs_s)
+                rhs_s, rhs_fn = value_of(rhs_s)
+
+                signals[signal] = ((lhs_s, rhs_s), (lhs_fn, rhs_fn), op)
+
+        values_1 = process(signals.copy(), values.copy())
+        for k in sorted(values_1):
+            self.logger.info(f"{k}: {values_1[k]}")
+        yield values_1["a"]
+
+        yield process(signals.copy(), values | {"b": values_1["a"]})["a"]

src/holt59/aoc/2015/day8.py

@@ -0,0 +1,32 @@
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+
+        yield sum(
+            # left and right quotes (not in memory)
+            2
+            # each \\ adds one character in the literals (compared to memory)
+            + line.count(R"\\")
+            # each \" adds one character in the literals (compared to memory)
+            + line[1:-1].count(R"\"")
+            # each \xFF adds 3 characters in the literals (compared to memory), but we must not
+            # count A\\x (A != \), but we must count A\\\x (A != \) - in practice we should also
+            # avoid \\\\x, etc., but this does not occur in the examples and the actual input
+            + 3 * (line.count(R"\x") - line.count(R"\\x") + line.count(R"\\\x"))
+            for line in lines
+        )
+
+        yield sum(
+            # needs to wrap in quotes (2 characters)
+            2
+            # needs to escape every \ with an extra \
+            + line.count("\\")
+            # needs to escape every " with an extra \ (including the first and last ones)
+            + line.count('"')
+            for line in lines
+        )

src/holt59/aoc/2015/day9.py

@@ -0,0 +1,28 @@
+import itertools
+from collections import defaultdict
+from typing import Any, Iterator, cast
+
+import parse  # type: ignore
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+
+        distances: dict[str, dict[str, int]] = defaultdict(dict)
+        for line in lines:
+            origin, destination, length = cast(
+                tuple[str, str, int],
+                parse.parse("{} to {} = {:d}", line),  # type: ignore
+            )
+            distances[origin][destination] = distances[destination][origin] = length
+
+        distance_of_routes = {
+            route: sum(distances[o][d] for o, d in zip(route[:-1], route[1:]))
+            for route in map(tuple, itertools.permutations(distances))
+        }
+
+        yield min(distance_of_routes.values())
+        yield max(distance_of_routes.values())

src/holt59/aoc/2021/day1.py

@@ -0,0 +1,14 @@
+import sys
+
+lines = sys.stdin.read().splitlines()
+
+values = [int(line) for line in lines]
+
+# part 1
+answer_1 = sum(v2 > v1 for v1, v2 in zip(values[:-1], values[1:]))
+print(f"answer 1 is {answer_1}")
+
+# part 2
+runnings = [sum(values[i : i + 3]) for i in range(len(values) - 2)]
+answer_2 = sum(v2 > v1 for v1, v2 in zip(runnings[:-1], runnings[1:]))
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2021/day10.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day11.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day12.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day13.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day14.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day15.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day16.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day17.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day18.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day19.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day2.py

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

src/holt59/aoc/2021/day20.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day21.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day22.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day23.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day24.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day25.py

@@ -1,6 +1,4 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
 
 lines = sys.stdin.read().splitlines()
 

src/holt59/aoc/2021/day3.py

@@ -0,0 +1,39 @@
+import sys
+from collections import Counter
+from typing import Literal
+
+
+def generator_rating(
+    values: list[str], most_common: bool, default: Literal["0", "1"]
+) -> str:
+    index = 0
+    most_common_idx = 0 if most_common else 1
+
+    while len(values) > 1:
+        cnt = Counter(value[index] for value in values)
+        bit = cnt.most_common(2)[most_common_idx][0]
+        if cnt["0"] == cnt["1"]:
+            bit = default
+        values = [value for value in values if value[index] == bit]
+        index += 1
+
+    return values[0]
+
+
+lines = sys.stdin.read().splitlines()
+
+
+# part 1
+most_and_least_common = [
+    tuple(Counter(line[col] for line in lines).most_common(2)[m][0] for m in range(2))
+    for col in range(len(lines[0]))
+]
+gamma_rate = int("".join(most for most, _ in most_and_least_common), base=2)
+epsilon_rate = int("".join(least for _, least in most_and_least_common), base=2)
+print(f"answer 1 is {gamma_rate * epsilon_rate}")
+
+# part 2
+oxygen_generator_rating = int(generator_rating(lines, True, "1"), base=2)
+co2_scrubber_rating = int(generator_rating(lines, False, "0"), base=2)
+answer_2 = oxygen_generator_rating * co2_scrubber_rating
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2021/day4.py

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

src/holt59/aoc/2021/day5.py

@@ -1,7 +1,4 @@
-# -*- encoding: utf-8 -*-
-
 import sys
-from collections import defaultdict
 
 import numpy as np
 
@@ -34,7 +31,6 @@ 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)
 

src/holt59/aoc/2021/day6.py

@@ -0,0 +1,21 @@
+import sys
+
+values = [int(c) for c in sys.stdin.read().strip().split(",")]
+
+days = 256
+lanterns = {day: 0 for day in range(days)}
+for value in values:
+    for day in range(value, days, 7):
+        lanterns[day] += 1
+
+for day in range(days):
+    for day2 in range(day + 9, days, 7):
+        lanterns[day2] += lanterns[day]
+
+# part 1
+answer_1 = sum(v for k, v in lanterns.items() if k < 80) + len(values)
+print(f"answer 1 is {answer_1}")
+
+# part 2
+answer_2 = sum(lanterns.values()) + len(values)
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2021/day7.py

@@ -0,0 +1,19 @@
+import sys
+
+positions = [int(c) for c in sys.stdin.read().strip().split(",")]
+
+min_position, max_position = min(positions), max(positions)
+
+# part 1
+answer_1 = min(
+    sum(abs(p - position) for p in positions)
+    for position in range(min_position, max_position + 1)
+)
+print(f"answer 1 is {answer_1}")
+
+# part 2
+answer_2 = min(
+    sum(abs(p - position) * (abs(p - position) + 1) // 2 for p in positions)
+    for position in range(min_position, max_position + 1)
+)
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2021/day8.py

@@ -0,0 +1,87 @@
+import itertools
+import os
+import sys
+
+VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+
+digits = {
+    "abcefg": 0,
+    "cf": 1,
+    "acdeg": 2,
+    "acdfg": 3,
+    "bcdf": 4,
+    "abdfg": 5,
+    "abdefg": 6,
+    "acf": 7,
+    "abcdefg": 8,
+    "abcdfg": 9,
+}
+
+lines = sys.stdin.read().splitlines()
+
+# part 1
+lengths = {len(k) for k, v in digits.items() if v in (1, 4, 7, 8)}
+answer_1 = sum(
+    len(p) in lengths for line in lines for p in line.split("|")[1].strip().split()
+)
+print(f"answer 1 is {answer_1}")
+
+# part 2
+values: list[int] = []
+
+for line in lines:
+    parts = line.split("|")
+    broken_digits = sorted(parts[0].strip().split(), key=len)
+
+    per_length = {
+        k: list(v)
+        for k, v in itertools.groupby(sorted(broken_digits, key=len), key=len)
+    }
+
+    # a can be found immediately
+    a = next(u for u in per_length[3][0] if u not in per_length[2][0])
+
+    # c and f have only two possible values corresponding to the single entry of
+    # length 2
+    cf = list(per_length[2][0])
+
+    # the only digit of length 4 contains bcdf, so we can deduce bd by removing cf
+    bd = [u for u in per_length[4][0] if u not in cf]
+
+    # the 3 digits of length 5 have a, d and g in common
+    adg = [u for u in per_length[5][0] if all(u in pe for pe in per_length[5][1:])]
+
+    # we can remove a
+    dg = [u for u in adg if u != a]
+
+    # we can deduce d and g
+    d = next(u for u in dg if u in bd)
+    g = next(u for u in dg if u != d)
+
+    # then b
+    b = next(u for u in bd if u != d)
+
+    # f is in the three 6-length digits, while c is only in 2
+    f = next(u for u in cf if all(u in p for p in per_length[6]))
+
+    # c is not f
+    c = next(u for u in cf if u != f)
+
+    # e is the last one
+    e = next(u for u in "abcdefg" if u not in {a, b, c, d, f, g})
+
+    mapping = dict(zip((a, b, c, d, e, f, g), "abcdefg"))
+
+    value = 0
+    for number in parts[1].strip().split():
+        digit = "".join(sorted(mapping[c] for c in number))
+        value = 10 * value + digits[digit]
+
+    if VERBOSE:
+        print(value)
+
+    values.append(value)
+
+
+answer_2 = sum(values)
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2021/day9.py

@@ -0,0 +1,44 @@
+import sys
+from math import prod
+
+values = [[int(c) for c in row] for row in sys.stdin.read().splitlines()]
+n_rows, n_cols = len(values), len(values[0])
+
+
+def neighbors(point: tuple[int, int]):
+    i, j = point
+    for di, dj in ((-1, 0), (+1, 0), (0, -1), (0, +1)):
+        if 0 <= i + di < n_rows and 0 <= j + dj < n_cols:
+            yield (i + di, j + dj)
+
+
+def basin(start: tuple[int, int]) -> set[tuple[int, int]]:
+    visited: set[tuple[int, int]] = set()
+    queue = [start]
+
+    while queue:
+        i, j = queue.pop()
+
+        if (i, j) in visited or values[i][j] == 9:
+            continue
+
+        visited.add((i, j))
+        queue.extend(neighbors((i, j)))
+
+    return visited
+
+
+low_points = [
+    (i, j)
+    for i in range(n_rows)
+    for j in range(n_cols)
+    if all(values[ti][tj] > values[i][j] for ti, tj in neighbors((i, j)))
+]
+
+# part 1
+answer_1 = sum(values[i][j] + 1 for i, j in low_points)
+print(f"answer 1 is {answer_1}")
+
+# part 2
+answer_2 = prod(sorted(len(basin(point)) for point in low_points)[-3:])
+print(f"answer 2 is {answer_2}")

src/holt59/aoc/2022/day1.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 blocks = sys.stdin.read().split("\n\n")

src/holt59/aoc/2022/day10.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 lines = sys.stdin.read().splitlines()

src/holt59/aoc/2022/day11.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import copy
 import sys
 from functools import reduce
@@ -7,7 +5,6 @@ from typing import Callable, Final, Mapping, Sequence
 
 
 class Monkey:
-
     id: Final[int]
     items: Final[Sequence[int]]
     worry_fn: Final[Callable[[int], int]]
@@ -97,8 +94,7 @@ def run(
     # number of inspects
     inspects = {monkey: 0 for monkey in monkeys}
 
-    for round in range(n_rounds):
-
+    for _ in range(n_rounds):
         for monkey in monkeys:
             for item in items[monkey]:
                 inspects[monkey] += 1

src/holt59/aoc/2022/day12.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import heapq
 import sys
 from typing import Callable, Iterator, TypeVar
@@ -44,7 +42,6 @@ def dijkstra(
         visited.add(current)
 
         for neighbor in neighbors(current):
-
             if neighbor in visited:
                 continue
 
@@ -60,7 +57,6 @@ def dijkstra(
 
 
 def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] | None:
-
     if end not in parents:
         return None
 
@@ -109,7 +105,6 @@ def neighbors(
         (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
 
@@ -127,8 +122,8 @@ 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]
+start: tuple[int, int] | None = None
+end: tuple[int, int] | None = None
 
 # for part 2
 start_s: list[tuple[int, int]] = []
@@ -143,6 +138,9 @@ for i_row, row in enumerate(grid):
         elif col == 0:
             start_s.append((i_row, i_col))
 
+assert start is not None
+assert end is not None
+
 # fix values
 grid[start[0]][start[1]] = 0
 grid[end[0]][end[1]] = ord("z") - ord("a")

src/holt59/aoc/2022/day13.py

@@ -1,27 +1,27 @@
-# -*- encoding: utf-8 -*-
-
 import json
 import sys
 from functools import cmp_to_key
+from typing import TypeAlias, cast
 
 blocks = sys.stdin.read().strip().split("\n\n")
 
 pairs = [tuple(json.loads(p) for p in block.split("\n")) for block in blocks]
 
+Packet: TypeAlias = list[int | list["Packet"]]
 
-def compare(lhs: list[int | list], rhs: list[int | list]) -> int:
 
+def compare(lhs: Packet, rhs: Packet) -> 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]
+                lhs_a = [lhs_a]  # type: ignore
             elif not isinstance(rhs_a, list):
-                rhs_a = [rhs_a]
+                rhs_a = [rhs_a]  # type: ignore
             assert isinstance(rhs_a, list) and isinstance(lhs_a, list)
-            r = compare(lhs_a, rhs_a)
+            r = compare(cast(Packet, lhs_a), cast(Packet, rhs_a))
             if r != 0:
                 return r
 

src/holt59/aoc/2022/day14.py

@@ -1,7 +1,4 @@
-# -*- encoding: utf-8 -*-
-
 import sys
-from collections import defaultdict
 from enum import Enum, auto
 from typing import Callable, cast
 
@@ -23,10 +20,10 @@ def print_blocks(blocks: dict[tuple[int, int], Cell]):
         blocks: Set of blocks to print.
     """
     x_min, y_min, x_max, y_max = (
-        min(x for x, y in blocks),
+        min(x for x, _ in blocks),
         0,
-        max(x for x, y in blocks),
-        max(y for x, y in blocks),
+        max(x for x, _ in blocks),
+        max(y for _, y in blocks),
     )
 
     for y in range(y_min, y_max + 1):
@@ -56,13 +53,12 @@ def flow(
         The input blocks.
     """
 
-    y_max = max(y for x, y in blocks)
+    y_max = max(y for _, 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:
@@ -117,10 +113,10 @@ print_blocks(blocks)
 print()
 
 x_min, y_min, x_max, y_max = (
-    min(x for x, y in blocks),
+    min(x for x, _ in blocks),
     0,
-    max(x for x, y in blocks),
-    max(y for x, y in blocks),
+    max(x for x, _ in blocks),
+    max(y for _, y in blocks),
 )
 
 # === part 1 ===

src/holt59/aoc/2022/day15.py

@@ -0,0 +1,96 @@
+import sys
+from typing import Any, Iterator
+
+import numpy as np
+import parse  # type: ignore
+from numpy.typing import NDArray
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def part1(
+        self, sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], row: int
+    ) -> int:
+        no_beacons_row_l: list[NDArray[np.floating[Any]]] = []
+
+        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))  # type: ignore
+            no_beacons_row_l.append(sx + np.arange(0, d - abs(sy - row) + 1))  # type: ignore
+
+        beacons_at_row = set(bx for (bx, by) in sensor_to_beacon.values() if by == row)
+        no_beacons_row = set(np.concatenate(no_beacons_row_l)).difference(
+            beacons_at_row
+        )  # type: ignore
+
+        return len(no_beacons_row)
+
+    def part2_intervals(
+        self, sensor_to_beacon: dict[tuple[int, int], tuple[int, int]], xy_max: int
+    ) -> tuple[int, int, int]:
+        for y in self.progress.wrap(range(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)
+            _, 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(
+        self, 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}"
+            )  # type: ignore
+
+        m.set_objective("min", x + y)
+
+        s = m.solve()
+        assert s is not None
+
+        vx = int(s.get_value(x))
+        vy = int(s.get_value(y))
+        return vx, vy, 4_000_000 * vx + vy
+
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+
+        sensor_to_beacon: dict[tuple[int, int], tuple[int, int]] = {}
+
+        for line in lines:
+            r: dict[str, str] = parse.parse(  # type: ignore
+                "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
+
+        yield self.part1(sensor_to_beacon, row)
+
+        # x, y, a2 = part2_cplex(sensor_to_beacon, xy_max)
+        x, y, a2 = self.part2_intervals(sensor_to_beacon, xy_max)
+        self.logger.info("answer 2 is {at} (x={x}, y={y})")
+        yield a2

src/holt59/aoc/2022/day16.py

@@ -0,0 +1,158 @@
+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))

src/holt59/aoc/2022/day17.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 from typing import Sequence, TypeVar
 
@@ -49,7 +47,6 @@ def build_tower(
     early_stop: bool = False,
     init: np.ndarray = np.ones(WIDTH, dtype=bool),
 ) -> tuple[np.ndarray, int, int, dict[int, int]]:
-
     tower = EMPTY_BLOCKS.copy()
     tower[0, :] = init
 
@@ -59,7 +56,6 @@ 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
@@ -75,7 +71,6 @@ def build_tower(
             tower = np.concatenate([tower, EMPTY_BLOCKS], axis=0)
 
         while True:
-
             jet, i_jet = next_cycle(jets, i_jet)
 
             dx = 0

src/holt59/aoc/2022/day18.py

@@ -1,7 +1,4 @@
-# -*- encoding: utf-8 -*-
-
 import sys
-from typing import FrozenSet
 
 import numpy as np
 

src/holt59/aoc/2022/day19.py

@@ -1,11 +1,9 @@
-# -*- encoding: utf-8 -*-
-
 import sys
-from typing import Literal
+from typing import Any, Literal
 
 import numpy as np
-import parse
-from tqdm import tqdm
+import parse  # pyright: ignore[reportMissingTypeStubs]
+from numpy.typing import NDArray
 
 Reagent = Literal["ore", "clay", "obsidian", "geode"]
 REAGENTS: tuple[Reagent, ...] = (
@@ -37,7 +35,7 @@ class State:
             self.robots = robots
             self.reagents = reagents
 
-    def __eq__(self, other) -> bool:
+    def __eq__(self, other: object) -> bool:
         return (
             isinstance(other, State)
             and self.robots == other.robots
@@ -68,7 +66,7 @@ lines = sys.stdin.read().splitlines()
 
 blueprints: list[dict[Reagent, IntOfReagent]] = []
 for line in lines:
-    r = parse.parse(
+    r: list[int] = parse.parse(  # type: ignore
         "Blueprint {}: "
         "Each ore robot costs {:d} ore. "
         "Each clay robot costs {:d} ore. "
@@ -88,7 +86,6 @@ for line in lines:
 
 
 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
@@ -97,12 +94,12 @@ 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 = [
@@ -136,7 +133,7 @@ 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 = {
+                reagents: IntOfReagent = {
                     reagent: state.reagents[reagent]
                     + state.robots[reagent]
                     - blueprint[robot].get(reagent, 0)
@@ -155,7 +152,7 @@ def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
             ]
         )
 
-        to_keep = []
+        to_keep: list[NDArray[np.integer[Any]]] = []
         while len(np_states) > 0:
             first_dom = (np_states[1:] >= np_states[0]).all(axis=1).any()
 

src/holt59/aoc/2022/day2.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 
@@ -49,7 +47,7 @@ lines = sys.stdin.readlines()
 values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
 
 # part 1 - 13526
-print(f"score 1 is {sum(score_1(*v) for v in values)}")
+print(f"answer 1 is {sum(score_1(*v) for v in values)}")
 
 # part 2 - 14204
-print(f"score 2 is {sum(score_2(*v) for v in values)}")
+print(f"answer 2 is {sum(score_2(*v) for v in values)}")

src/holt59/aoc/2022/day20.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 from __future__ import annotations
 
 import sys
@@ -21,7 +19,6 @@ class Number:
 
 
 def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
-
     numbers = numbers.copy()
     original = numbers.copy()
 

src/holt59/aoc/2022/day21.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import operator
 import sys
 from typing import Callable

src/holt59/aoc/2022/day22.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import re
 import sys
 from typing import Callable
@@ -126,7 +124,6 @@ def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
 
 
 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"

src/holt59/aoc/2022/day23.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import itertools
 import sys
 from collections import defaultdict
@@ -41,7 +39,7 @@ def round(
     directions: Directions,
 ):
     to_move: dict[tuple[int, int], list[tuple[int, int]]] = defaultdict(lambda: [])
-    for (y, x) in positions:
+    for y, x in positions:
         elves = {
             (dy, dx): (y + dy, x + dx) in positions
             for dy, dx in itertools.product((-1, 0, 1), (-1, 0, 1))

src/holt59/aoc/2022/day24.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import heapq
 import math
 import sys

src/holt59/aoc/2022/day25.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 lines = sys.stdin.read().splitlines()

src/holt59/aoc/2022/day3.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import string
 import sys
 
@@ -13,7 +11,7 @@ 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}")
+print(f"answer 1 is {part1}")
 
 # part 2
 n_per_group = 3
@@ -22,4 +20,4 @@ part2 = sum(
     for i in range(0, len(lines), n_per_group)
     for c in set(lines[i]).intersection(*lines[i + 1 : i + n_per_group])
 )
-print(f"score 2 is {part2}")
+print(f"answer 2 is {part2}")

src/holt59/aoc/2022/day4.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 lines = [line.strip() for line in sys.stdin.readlines()]
@@ -12,8 +10,8 @@ def make_range(value: str) -> set[int]:
 
 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}")
+answer_1 = sum(s1.issubset(s2) or s2.issubset(s1) for s1, s2 in sections)
+print(f"answer 1 is {answer_1}")
 
-score_2 = sum(bool(s1.intersection(s2)) for s1, s2 in sections)
-print(f"score 1 is {score_2}")
+answer_2 = sum(bool(s1.intersection(s2)) for s1, s2 in sections)
+print(f"answer 1 is {answer_2}")

src/holt59/aoc/2022/day5.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import copy
 import sys
 

src/holt59/aoc/2022/day6.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 

src/holt59/aoc/2022/day7.py

@@ -1,5 +1,3 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 from pathlib import Path
 

src/holt59/aoc/2022/day8.py

@@ -1,8 +1,7 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 import numpy as np
+from numpy.typing import NDArray
 
 lines = sys.stdin.read().splitlines()
 
@@ -27,7 +26,7 @@ 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:
+def viewing_distance(row_of_trees: NDArray[np.int_], value: int) -> int:
     w = np.where(row_of_trees >= value)[0]
 
     if not w.size:

src/holt59/aoc/2022/day9.py

@@ -1,12 +1,9 @@
-# -*- encoding: utf-8 -*-
-
 import sys
 
 import numpy as np
 
 
 def move(head: tuple[int, int], command: str) -> tuple[int, int]:
-
     h_col, h_row = head
 
     if command == "L":
@@ -22,7 +19,6 @@ 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
 
@@ -33,8 +29,7 @@ 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 = [(0, 0) for _ in range(n_blocks)]
+    blocks: list[tuple[int, int]] = [(0, 0) for _ in range(n_blocks)]
     visited = [blocks[-1]]
 
     for command in commands:

src/holt59/aoc/2023/day1.py

@@ -0,0 +1,49 @@
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+
+def find_values(lines: list[str], lookups: dict[str, int]) -> list[int]:
+    values: list[int] = []
+
+    for line in filter(bool, lines):
+        first_digit = min(
+            lookups,
+            key=lambda lookup: index
+            if (index := line.find(lookup)) >= 0
+            else len(line),
+        )
+        last_digit = max(
+            lookups,
+            key=lambda lookup: index if (index := line.rfind(lookup)) >= 0 else -1,
+        )
+
+        values.append(10 * lookups[first_digit] + lookups[last_digit])
+
+    return values
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lookups_1 = {str(d): d for d in range(1, 10)}
+        lookups_2 = lookups_1 | {
+            d: i + 1
+            for i, d in enumerate(
+                (
+                    "one",
+                    "two",
+                    "three",
+                    "four",
+                    "five",
+                    "six",
+                    "seven",
+                    "eight",
+                    "nine",
+                )
+            )
+        }
+
+        lines = input.splitlines()
+
+        yield sum(find_values(lines, lookups_1))
+        yield sum(find_values(lines, lookups_2))

src/holt59/aoc/2023/day10.py

@@ -0,0 +1,100 @@
+from typing import Any, Iterator, Literal, cast
+
+from ..base import BaseSolver
+
+Symbol = Literal["|", "-", "L", "J", "7", "F", ".", "S"]
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines: list[list[Symbol]] = [
+            [cast(Symbol, symbol) for symbol in line] for line in input.splitlines()
+        ]
+
+        # find starting point
+        si, sj = next(
+            (i, j)
+            for i in range(len(lines))
+            for j in range(len(lines[0]))
+            if lines[i][j] == "S"
+        )
+
+        # find one of the two outputs
+        ni, nj = si, sj
+        for ni, nj, chars in (
+            (si - 1, sj, "|7F"),
+            (si + 1, sj, "|LJ"),
+            (si, sj - 1, "-LF"),
+            (si, sj + 1, "-J7"),
+        ):
+            if lines[ni][nj] in chars:
+                break
+
+        # part 1 - find the loop (re-used in part 2)
+        loop = [(si, sj), (ni, nj)]
+        while True:
+            pi, pj = loop[-2]
+            i, j = loop[-1]
+
+            sym = lines[i][j]
+
+            if sym == "|" and pi > i or sym in "JL" and pi == i:
+                i -= 1
+            elif sym == "|" and pi < i or sym in "7F" and pi == i:
+                i += 1
+            elif sym == "-" and pj > j or sym in "J7" and pj == j:
+                j -= 1
+            elif sym == "-" and pj < j or sym in "LF" and pj == j:
+                j += 1
+
+            if (i, j) == (si, sj):
+                break
+
+            loop.append((i, j))
+
+        yield len(loop) // 2
+
+        # part 2
+
+        # replace S by an appropriate character for the loop below
+        di1, dj1 = loop[1][0] - loop[0][0], loop[1][1] - loop[0][1]
+        di2, dj2 = loop[0][0] - loop[-1][0], loop[0][1] - loop[-1][1]
+        mapping: dict[tuple[int, int], dict[tuple[int, int], Symbol]] = {
+            (0, 1): {(0, 1): "-", (-1, 0): "F", (1, 0): "L"},
+            (0, -1): {(0, -1): "-", (-1, 0): "7", (1, 0): "J"},
+            (1, 0): {(1, 0): "|", (0, 1): "7", (0, -1): "F"},
+            (-1, 0): {(-1, 0): "|", (0, -1): "L", (0, 1): "J"},
+        }
+        lines[si][sj] = mapping[di1, dj1][di2, dj2]
+
+        # find the points inside the loop using an adaptation of ray casting for a discrete
+        # grid (https://stackoverflow.com/a/218081/2666289)
+        #
+        # use a set for faster '... in loop' check
+        #
+        loop_s = set(loop)
+        inside: set[tuple[int, int]] = set()
+        for i in range(len(lines)):
+            cnt = 0
+            for j in range(len(lines[0])):
+                if (i, j) not in loop_s and cnt % 2 == 1:
+                    inside.add((i, j))
+
+                if (i, j) in loop_s and lines[i][j] in "|LJ":
+                    cnt += 1
+
+        if self.verbose:
+            for i in range(len(lines)):
+                s = ""
+                for j in range(len(lines[0])):
+                    if (i, j) == (si, sj):
+                        s += "\033[91mS\033[0m"
+                    elif (i, j) in loop:
+                        s += lines[i][j]
+                    elif (i, j) in inside:
+                        s += "\033[92mI\033[0m"
+                    else:
+                        s += "."
+                self.logger.info(s)
+
+        yield len(inside)

src/holt59/aoc/2023/day11.py

@@ -0,0 +1,42 @@
+from typing import Any, Iterator
+
+import numpy as np
+
+from ..base import BaseSolver
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+
+        data = np.array([[c == "#" for c in line] for line in lines])
+
+        rows = {c for c in range(data.shape[0]) if not data[c, :].any()}
+        columns = {c for c in range(data.shape[1]) if not data[:, c].any()}
+
+        galaxies_y, galaxies_x = np.where(data)  # type: ignore
+
+        def compute_total_distance(expansion: int) -> int:
+            distances: list[int] = []
+            for g1 in range(len(galaxies_y)):
+                x1, y1 = int(galaxies_x[g1]), int(galaxies_y[g1])
+                for g2 in range(g1 + 1, len(galaxies_y)):
+                    x2, y2 = int(galaxies_x[g2]), int(galaxies_y[g2])
+
+                    dx = sum(
+                        1 + (expansion - 1) * (x in columns)
+                        for x in range(min(x1, x2), max(x1, x2))
+                    )
+                    dy = sum(
+                        1 + (expansion - 1) * (y in rows)
+                        for y in range(min(y1, y2), max(y1, y2))
+                    )
+
+                    distances.append(dx + dy)
+            return sum(distances)
+
+        # part 1
+        yield compute_total_distance(2)
+
+        # part 2
+        yield compute_total_distance(1000000)

src/holt59/aoc/2023/day12.py

@@ -0,0 +1,103 @@
+from functools import lru_cache
+from typing import Any, Iterable, Iterator
+
+from ..base import BaseSolver
+
+
+@lru_cache
+def compute_fitting_arrangements(pattern: str, counts: tuple[int, ...]) -> int:
+    """
+    fn3p tries to fit ALL values in counts() inside the pattern.
+    """
+    # no pattern -> ok if nothing to fit, otherwise ko
+    if not pattern:
+        count = 1 if not counts else 0
+
+    # no count -> ok if pattern has no mandatory entry, else ko
+    elif not counts:
+        count = 1 if pattern.find("#") == -1 else 0
+
+    # cannot fit all values -> ko
+    elif len(pattern) < sum(counts) + len(counts) - 1:
+        count = 0
+
+    elif len(pattern) < counts[0]:
+        count = 0
+
+    else:
+        count = 0
+
+        if pattern[0] == "?":
+            count += compute_fitting_arrangements(pattern[1:], counts)
+
+        if len(pattern) == counts[0]:
+            count += 1
+
+        elif pattern[counts[0]] != "#":
+            count += compute_fitting_arrangements(pattern[counts[0] + 1 :], counts[1:])
+
+    return count
+
+
+@lru_cache
+def compute_possible_arrangements(
+    patterns: tuple[str, ...], counts: tuple[int, ...]
+) -> int:
+    if not patterns:
+        return 1 if not counts else 0
+
+    with_hash = sum(1 for p in patterns[1:] if p.find("#") >= 0)
+
+    if with_hash > len(counts):
+        return 0
+
+    to_fit = counts if with_hash == 0 else counts[:-with_hash]
+    remaining = () if with_hash == 0 else counts[-with_hash:]
+
+    if not to_fit:
+        if patterns[0].find("#") != -1:
+            return 0
+        return compute_possible_arrangements(patterns[1:], remaining)
+
+    elif patterns[0].find("#") != -1 and len(patterns[0]) < to_fit[0]:
+        return 0
+
+    elif patterns[0].find("?") == -1:
+        if len(patterns[0]) != to_fit[0]:
+            return 0
+        return compute_possible_arrangements(patterns[1:], counts[1:])
+
+    else:
+        return sum(
+            fp * compute_possible_arrangements(patterns[1:], to_fit[i:] + remaining)
+            for i in range(len(to_fit) + 1)
+            if (fp := compute_fitting_arrangements(patterns[0], to_fit[:i])) > 0
+        )
+
+
+class Solver(BaseSolver):
+    def compute_all_possible_arrangements(
+        self, lines: Iterable[str], repeat: int
+    ) -> int:
+        count = 0
+
+        for i_line, line in enumerate(lines):
+            self.logger.info(f"processing line {i_line}: {line}...")
+            parts = line.split(" ")
+            count += compute_possible_arrangements(
+                tuple(
+                    filter(len, "?".join(parts[0] for _ in range(repeat)).split("."))
+                ),
+                tuple(int(c) for c in parts[1].split(",")) * repeat,
+            )
+
+        return count
+
+    def solve(self, input: str) -> Iterator[Any]:
+        lines = input.splitlines()
+
+        # part 1
+        yield self.compute_all_possible_arrangements(lines, 1)
+
+        # part 2
+        yield self.compute_all_possible_arrangements(lines, 5)

src/holt59/aoc/2023/day13.py

@@ -0,0 +1,43 @@
+from typing import Any, Callable, Iterator, Literal
+
+from ..base import BaseSolver
+
+
+def split(block: list[str], axis: Literal[0, 1], count: int) -> int:
+    n_iter = len(block) if axis == 0 else len(block[0])
+    n_check = len(block) if axis == 1 else len(block[0])
+
+    at: Callable[[int, int], str] = (
+        (lambda i, j: block[i][j]) if axis == 0 else (lambda i, j: block[j][i])
+    )
+
+    for i in range(n_iter - 1):
+        size = min(i + 1, n_iter - i - 1)
+        if (
+            sum(
+                at(i - s, j) != at(i + 1 + s, j)
+                for s in range(0, size)
+                for j in range(n_check)
+            )
+            == count
+        ):
+            return i + 1
+
+    return 0
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        blocks = [block.splitlines() for block in input.split("\n\n")]
+
+        # part 1
+        yield sum(
+            split(block, axis=1, count=0) + 100 * split(block, axis=0, count=0)
+            for block in blocks
+        )
+
+        # part 2
+        yield sum(
+            split(block, axis=1, count=1) + 100 * split(block, axis=0, count=1)
+            for block in blocks
+        )

src/holt59/aoc/2023/day14.py

@@ -0,0 +1,70 @@
+from typing import Any, Iterator, TypeAlias
+
+from ..base import BaseSolver
+
+RockGrid: TypeAlias = list[list[str]]
+
+
+def slide_rocks_top(rocks: RockGrid) -> RockGrid:
+    top = [0 if c == "." else 1 for c in rocks[0]]
+    for row in range(1, len(rocks)):
+        for col in range(len(rocks[0])):
+            match rocks[row][col]:
+                case "O":
+                    if top[col] != row:
+                        rocks[top[col]][col] = "O"
+                        rocks[row][col] = "."
+                    top[col] = top[col] + 1
+                case "#":
+                    top[col] = row + 1
+                case _:
+                    pass
+    return rocks
+
+
+def cycle(rocks: RockGrid) -> RockGrid:
+    for _ in range(4):
+        rocks = slide_rocks_top(rocks)
+        rocks = [
+            [rocks[len(rocks) - j - 1][i] for j in range(len(rocks))]
+            for i in range(len(rocks[0]))
+        ]
+
+    return rocks
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        rocks0 = [list(line) for line in input.splitlines()]
+
+        rocks = slide_rocks_top([[c for c in r] for r in rocks0])
+
+        # part 1
+        yield sum(
+            (len(rocks) - i) * sum(1 for c in row if c == "O")
+            for i, row in enumerate(rocks)
+        )
+
+        # part 2
+        rocks = rocks0
+
+        N = 1000000000
+        cycles: list[RockGrid] = []
+        i_cycle: int = -1
+        for i_cycle in range(N):
+            rocks = cycle(rocks)
+
+            if any(rocks == c for c in cycles):
+                break
+
+            cycles.append([[c for c in r] for r in rocks])
+
+        cycle_start = next(i for i in range(len(cycles)) if (rocks == cycles[i]))
+        cycle_length = i_cycle - cycle_start
+
+        ci = cycle_start + (N - cycle_start) % cycle_length - 1
+
+        yield sum(
+            (len(rocks) - i) * sum(1 for c in row if c == "O")
+            for i, row in enumerate(cycles[ci])
+        )

src/holt59/aoc/2023/day15.py

@@ -0,0 +1,33 @@
+from functools import reduce
+from typing import Any, Iterator
+
+from ..base import BaseSolver
+
+
+def _hash(s: str) -> int:
+    return reduce(lambda v, u: ((v + ord(u)) * 17) % 256, s, 0)
+
+
+class Solver(BaseSolver):
+    def solve(self, input: str) -> Iterator[Any]:
+        steps = input.split(",")
+
+        # part 1
+        yield sum(map(_hash, steps))
+
+        # part 2
+        boxes: list[dict[str, int]] = [{} for _ in range(256)]
+
+        for step in steps:
+            if (i := step.find("=")) >= 0:
+                label, length = step[:i], int(step[i + 1 :])
+                boxes[_hash(label)][label] = length
+            else:
+                label = step[:-1]
+                boxes[_hash(label)].pop(label, None)
+
+        yield sum(
+            i_box * i_lens * length
+            for i_box, box in enumerate(boxes, start=1)
+            for i_lens, length in enumerate(box.values(), start=1)
+        )