Backup local 2022 day 16.

.drone.yml

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

.gitignore

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

2021/day5.py

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

2022/day1.py

@@ -0,0 +1,9 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+blocks = sys.stdin.read().split("\n\n")
+values = sorted(sum(map(int, block.split())) for block in blocks)
+
+print(f"answer 1 is {values[-1]}")
+print(f"answer 2 is {sum(values[-3:])}")

2022/day10.py

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

2022/day11.py

@@ -1,11 +1,13 @@
-import copy
+# -*- encoding: utf-8 -*-
-from functools import reduce
-from typing import Any, Callable, Final, Iterator, Mapping, Sequence
 
-from ..base import BaseSolver
+import copy
+import sys
+from functools import reduce
+from typing import Callable, Final, Mapping, Sequence
 
 
 class Monkey:
+
     id: Final[int]
     items: Final[Sequence[int]]
     worry_fn: Final[Callable[[int], int]]
@@ -95,7 +97,8 @@ def run(
     # number of inspects
     inspects = {monkey: 0 for monkey in monkeys}
 
-    for _ in range(n_rounds):
+    for round in range(n_rounds):
+
         for monkey in monkeys:
             for item in items[monkey]:
                 inspects[monkey] += 1
@@ -120,14 +123,13 @@ def monkey_business(inspects: dict[Monkey, int]) -> int:
     return sorted_levels[-2] * sorted_levels[-1]
 
 
-class Solver(BaseSolver):
+monkeys = [parse_monkey(block.splitlines()) for block in sys.stdin.read().split("\n\n")]
-    def solve(self, input: str) -> Iterator[Any]:
-        monkeys = [parse_monkey(block.splitlines()) for block in input.split("\n\n")]
 
 # case 1: we simply divide the worry by 3 after applying the monkey worry operation
-        yield monkey_business(
+answer_1 = monkey_business(
     run(copy.deepcopy(monkeys), 20, me_worry_fn=lambda w: w // 3)
 )
+print(f"answer 1 is {answer_1}")
 
 # case 2: to keep reasonable level values, we can use a modulo operation, we need to
 # use the product of all "divisible by" test so that the test remains valid
@@ -138,10 +140,7 @@ class Solver(BaseSolver):
 # we use the product of all test value
 #
 total_test_value = reduce(lambda w, m: w * m.test_value, monkeys, 1)
-        yield monkey_business(
+answer_2 = monkey_business(
-            run(
+    run(copy.deepcopy(monkeys), 10_000, me_worry_fn=lambda w: w % total_test_value)
-                copy.deepcopy(monkeys),
-                10_000,
-                me_worry_fn=lambda w: w % total_test_value,
-            )
 )
+print(f"answer 2 is {answer_2}")

2022/day12.py

@@ -1,7 +1,8 @@
-import heapq
+# -*- encoding: utf-8 -*-
-from typing import Any, Callable, Iterator, TypeVar
 
-from ..base import BaseSolver
+import heapq
+import sys
+from typing import Callable, Iterator, TypeVar
 
 Node = TypeVar("Node")
 
@@ -43,6 +44,7 @@ def dijkstra(
         visited.add(current)
 
         for neighbor in neighbors(current):
+
             if neighbor in visited:
                 continue
 
@@ -58,6 +60,7 @@ def dijkstra(
 
 
 def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] | None:
+
     if end not in parents:
         return None
 
@@ -69,35 +72,7 @@ def make_path(parents: dict[Node, Node], start: Node, end: Node) -> list[Node] |
     return list(reversed(path))
 
 
-def neighbors(
+def print_path(path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
-    grid: list[list[int]], node: tuple[int, int], up: bool
-) -> Iterator[tuple[int, int]]:
-    n_rows = len(grid)
-    n_cols = len(grid[0])
-
-    c_row, c_col = node
-    for n_row, n_col in (
-        (c_row - 1, c_col),
-        (c_row + 1, c_col),
-        (c_row, c_col - 1),
-        (c_row, c_col + 1),
-    ):
-        if not (n_row >= 0 and n_row < n_rows and n_col >= 0 and n_col < n_cols):
-            continue
-
-        if up and grid[n_row][n_col] > grid[c_row][c_col] + 1:
-            continue
-        elif not up and grid[n_row][n_col] < grid[c_row][c_col] - 1:
-            continue
-
-        yield n_row, n_col
-
-
-# === main code ===
-
-
-class Solver(BaseSolver):
-    def print_path(self, path: list[tuple[int, int]], n_rows: int, n_cols: int) -> None:
     end = path[-1]
 
     graph = [["." for _c in range(n_cols)] for _r in range(n_rows)]
@@ -118,16 +93,42 @@ class Solver(BaseSolver):
         else:
             assert False, "{} -> {} infeasible".format(path[i], path[i + 1])
 
-        for row in graph:
+    print("\n".join("".join(row) for row in graph))
-            self.logger.info("".join(row))
 
-    def solve(self, input: str) -> Iterator[Any]:
+
-        lines = input.splitlines()
+def neighbors(
+    grid: list[list[int]], node: tuple[int, int], up: bool
+) -> Iterator[tuple[int, int]]:
+    n_rows = len(grid)
+    n_cols = len(grid[0])
+
+    c_row, c_col = node
+    for n_row, n_col in (
+        (c_row - 1, c_col),
+        (c_row + 1, c_col),
+        (c_row, c_col - 1),
+        (c_row, c_col + 1),
+    ):
+
+        if not (n_row >= 0 and n_row < n_rows and n_col >= 0 and n_col < n_cols):
+            continue
+
+        if up and grid[n_row][n_col] > grid[c_row][c_col] + 1:
+            continue
+        elif not up and grid[n_row][n_col] < grid[c_row][c_col] - 1:
+            continue
+
+        yield n_row, n_col
+
+
+# === main code ===
+
+lines = sys.stdin.read().splitlines()
 
 grid = [[ord(cell) - ord("a") for cell in line] for line in lines]
 
-        start: tuple[int, int] | None = None
+start: tuple[int, int]
-        end: tuple[int, int] | None = None
+end: tuple[int, int]
 
 # for part 2
 start_s: list[tuple[int, int]] = []
@@ -142,27 +143,23 @@ class Solver(BaseSolver):
         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")
 
+
 lengths_1, parents_1 = dijkstra(
-            start=start,
+    start=start, neighbors=lambda n: neighbors(grid, n, True), cost=lambda lhs, rhs: 1
-            neighbors=lambda n: neighbors(grid, n, True),
-            cost=lambda lhs, rhs: 1,
 )
 path_1 = make_path(parents_1, start, end)
 assert path_1 is not None
 
-        self.print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
+print_path(path_1, n_rows=len(grid), n_cols=len(grid[0]))
-        yield lengths_1[end] - 1
 
-        lengths_2, _ = dijkstra(
+print(f"answer 1 is {lengths_1[end] - 1}")
-            start=end,
+
-            neighbors=lambda n: neighbors(grid, n, False),
+lengths_2, parents_2 = dijkstra(
-            cost=lambda lhs, rhs: 1,
+    start=end, neighbors=lambda n: neighbors(grid, n, False), cost=lambda lhs, rhs: 1
 )
-        yield min(lengths_2.get(start, float("inf")) for start in start_s)
+answer_2 = min(lengths_2.get(start, float("inf")) for start in start_s)
+print(f"answer 2 is {answer_2}")

2022/day13.py

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

2022/day14.py

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

2022/day15.py

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

2022/day16.py

@@ -0,0 +1,270 @@
+# -*- 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))

2022/day17.py

@@ -1,16 +1,14 @@
-from typing import Any, Iterator, Sequence, TypeAlias, TypeVar
+# -*- encoding: utf-8 -*-
+
+import sys
+from typing import Sequence, TypeVar
 
 import numpy as np
-from numpy.typing import NDArray
-
-from ..base import BaseSolver
 
 T = TypeVar("T")
 
-Tower: TypeAlias = NDArray[np.bool]
 
-
+def print_tower(tower: np.ndarray, out: str = "#"):
-def print_tower(tower: Tower, out: str = "#"):
     print("-" * (tower.shape[1] + 2))
     non_empty = False
     for row in reversed(range(1, tower.shape[0])):
@@ -21,7 +19,7 @@ def print_tower(tower: Tower, out: str = "#"):
     print("+" + "-" * tower.shape[1] + "+")
 
 
-def tower_height(tower: Tower) -> int:
+def tower_height(tower: np.ndarray) -> int:
     return int(tower.shape[0] - tower[::-1, :].argmax(axis=0).min() - 1)
 
 
@@ -49,8 +47,9 @@ def build_tower(
     n_rocks: int,
     jets: str,
     early_stop: bool = False,
-    init: Tower = np.ones(WIDTH, dtype=bool),
+    init: np.ndarray = np.ones(WIDTH, dtype=bool),
-) -> tuple[Tower, int, int, dict[int, int]]:
+) -> tuple[np.ndarray, int, int, dict[int, int]]:
+
     tower = EMPTY_BLOCKS.copy()
     tower[0, :] = init
 
@@ -60,6 +59,7 @@ def build_tower(
     rock_count = 0
 
     for rock_count in range(n_rocks):
+
         if early_stop:
             if i_rock == 0 and (i_rock, i_jet) in done_at:
                 break
@@ -75,6 +75,7 @@ def build_tower(
             tower = np.concatenate([tower, EMPTY_BLOCKS], axis=0)
 
         while True:
+
             jet, i_jet = next_cycle(jets, i_jet)
 
             dx = 0
@@ -99,13 +100,14 @@ def build_tower(
     return tower, rock_count, done_at.get((i_rock, i_jet), -1), heights
 
 
-class Solver(BaseSolver):
+line = sys.stdin.read().strip()
-    def solve(self, input: str) -> Iterator[Any]:
+
-        tower, *_ = build_tower(2022, input)
+tower, *_ = build_tower(2022, line)
-        yield tower_height(tower)
+answer_1 = tower_height(tower)
+print(f"answer 1 is {answer_1}")
 
 TOTAL_ROCKS = 1_000_000_000_000
-        _tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, input, True)
+tower_1, n_rocks_1, prev_1, heights_1 = build_tower(TOTAL_ROCKS, line, True)
 assert prev_1 > 0
 
 # 2767 1513
@@ -119,4 +121,5 @@ class Solver(BaseSolver):
     heights_1[prev_1 + remaining_rocks % n_repeat_rocks] - heights_1[prev_1]
 )
 
-        yield base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
+answer_2 = base_height + (n_repeat_towers + 1) * repeat_height + remaining_height
+print(f"answer 2 is {answer_2}")

2022/day18.py

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

2022/day19.py

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

2022/day2.py

@@ -1,6 +1,6 @@
-from typing import Any, Iterator
+# -*- encoding: utf-8 -*-
 
-from ..base import BaseSolver
+import sys
 
 
 def score_1(ux: int, vx: int) -> int:
@@ -35,9 +35,7 @@ def score_2(ux: int, vx: int) -> int:
     return (ux + vx - 1) % 3 + 1 + vx * 3
 
 
-class Solver(BaseSolver):
+lines = sys.stdin.readlines()
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = input.splitlines()
 
 # the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
 # modulo-3 arithmetic
@@ -51,7 +49,7 @@ class Solver(BaseSolver):
 values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
 
 # part 1 - 13526
-        yield sum(score_1(*v) for v in values)
+print(f"score 1 is {sum(score_1(*v) for v in values)}")
 
 # part 2 - 14204
-        yield sum(score_2(*v) for v in values)
+print(f"score 2 is {sum(score_2(*v) for v in values)}")

2022/day20.py

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

2022/day21.py

@@ -1,7 +1,8 @@
-import operator
+# -*- encoding: utf-8 -*-
-from typing import Any, Callable, Iterator
 
-from ..base import BaseSolver
+import operator
+import sys
+from typing import Callable
 
 
 def compute(monkeys: dict[str, int | tuple[str, str, str]], monkey: str) -> int:
@@ -78,9 +79,7 @@ def invert(
     return monkeys
 
 
-class Solver(BaseSolver):
+lines = sys.stdin.read().splitlines()
-    def solve(self, input: str) -> Iterator[Any]:
-        lines = [line.strip() for line in input.splitlines()]
 
 monkeys: dict[str, int | tuple[str, str, str]] = {}
 
@@ -99,10 +98,12 @@ class Solver(BaseSolver):
 
         op_monkeys.add(name)
 
-        yield compute(monkeys.copy(), "root")
+
+answer_1 = compute(monkeys.copy(), "root")
+print(f"answer 1 is {answer_1}")
 
 # assume the second operand of 'root' can be computed, and the first one depends on
 # humn, which is the case is my input and the test input
-        assert isinstance(monkeys["root"], tuple)
 p1, _, p2 = monkeys["root"]  # type: ignore
-        yield compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
+answer_2 = compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
+print(f"answer 2 is {answer_2}")

2022/day22.py

@@ -0,0 +1,226 @@
+# -*- encoding: utf-8 -*-
+
+import re
+import sys
+from typing import Callable
+
+import numpy as np
+
+VOID, EMPTY, WALL = 0, 1, 2
+TILE_FROM_CHAR = {" ": VOID, ".": EMPTY, "#": WALL}
+
+SCORES = {"E": 0, "S": 1, "W": 2, "N": 3}
+
+
+board_map_s, direction_s = sys.stdin.read().split("\n\n")
+
+# board
+board_lines = board_map_s.splitlines()
+max_line = max(len(line) for line in board_lines)
+board = np.array(
+    [
+        [TILE_FROM_CHAR[c] for c in row] + [VOID] * (max_line - len(row))
+        for row in board_map_s.splitlines()
+    ]
+)
+
+directions = [
+    int(p1) if p2 else p1 for p1, p2 in re.findall(R"(([0-9])+|L|R)", direction_s)
+]
+
+
+# find on each row and column the first and last non-void
+row_first_non_void = np.argmax(board != VOID, axis=1)
+row_last_non_void = board.shape[1] - np.argmax(board[:, ::-1] != VOID, axis=1) - 1
+col_first_non_void = np.argmax(board != VOID, axis=0)
+col_last_non_void = board.shape[0] - np.argmax(board[::-1, :] != VOID, axis=0) - 1
+
+
+faces = np.zeros_like(board)
+size = np.gcd(board.shape[0], board.shape[1])
+for row in range(0, board.shape[0], size):
+    for col in range(row_first_non_void[row], row_last_non_void[row], size):
+        faces[row : row + size, col : col + size] = faces.max() + 1
+
+SIZE = np.gcd(*board.shape)
+
+# TODO: deduce this from the actual cube...
+faces_wrap: dict[int, dict[str, Callable[[int, int], tuple[int, int, str]]]]
+
+if board.shape == (12, 16):  # example
+    faces_wrap = {
+        1: {
+            "W": lambda y, x: (4, 4 + y, "S"),  # 3N
+            "N": lambda y, x: (4, 11 - x, "S"),  # 2N
+            "E": lambda y, x: (11 - y, 15, "W"),  # 6E
+        },
+        2: {
+            "W": lambda y, x: (11, 19 - y, "N"),  # 6S
+            "N": lambda y, x: (0, 11 - y, "S"),  # 1N
+            "S": lambda y, x: (11, 11 - x, "N"),  # 5S
+        },
+        3: {
+            "N": lambda y, x: (x - 4, 8, "E"),  # 1W
+            "S": lambda y, x: (15 - x, 8, "E"),  # 5W
+        },
+        4: {"E": lambda y, x: (8, 19 - y, "S")},  # 6N
+        5: {
+            "W": lambda y, x: (7, 15 - y, "N"),  # 3S
+            "S": lambda y, x: (7, 11 - x, "N"),  # 2S
+        },
+        6: {
+            "N": lambda y, x: (19 - x, 11, "W"),  # 4E
+            "E": lambda y, x: (11 - y, 11, "W"),  # 1E
+            "S": lambda y, x: (19 - x, 0, "E"),  # 2W
+        },
+    }
+
+else:
+    faces_wrap = {
+        1: {
+            "W": lambda y, x: (3 * SIZE - y - 1, 0, "E"),  # 4W
+            "N": lambda y, x: (2 * SIZE + x, 0, "E"),  # 6W
+        },
+        2: {
+            "N": lambda y, x: (4 * SIZE - 1, x - 2 * SIZE, "N"),  # 6S
+            "E": lambda y, x: (3 * SIZE - y - 1, 2 * SIZE - 1, "W"),  # 5E
+            "S": lambda y, x: (x - SIZE, 2 * SIZE - 1, "W"),  # 3E
+        },
+        3: {
+            "W": lambda y, x: (2 * SIZE, y - SIZE, "S"),  # 4N
+            "E": lambda y, x: (SIZE - 1, SIZE + y, "N"),  # 2S
+        },
+        4: {
+            "W": lambda y, x: (3 * SIZE - y - 1, SIZE, "E"),  # 1W
+            "N": lambda y, x: (SIZE + x, SIZE, "E"),  # 3W
+        },
+        5: {
+            "E": lambda y, x: (3 * SIZE - y - 1, 3 * SIZE - 1, "W"),  # 2E
+            "S": lambda y, x: (2 * SIZE + x, SIZE - 1, "W"),  # 6E
+        },
+        6: {
+            "W": lambda y, x: (0, y - 2 * SIZE, "S"),  # 1N
+            "E": lambda y, x: (3 * SIZE - 1, y - 2 * SIZE, "N"),  # 5S
+            "S": lambda y, x: (0, x + 2 * SIZE, "S"),  # 2N
+        },
+    }
+
+
+def wrap_part_1(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+    if r0 == "E":
+        return y0, row_first_non_void[y0], r0
+    elif r0 == "S":
+        return col_first_non_void[x0], x0, r0
+    elif r0 == "W":
+        return y0, row_last_non_void[y0], r0
+    elif r0 == "N":
+        return col_last_non_void[x0], x0, r0
+
+    assert False
+
+
+def wrap_part_2(y0: int, x0: int, r0: str) -> tuple[int, int, str]:
+    cube = faces[y0, x0]
+    assert r0 in faces_wrap[cube]
+    return faces_wrap[cube][r0](y0, x0)
+
+
+def run(wrap: Callable[[int, int, str], tuple[int, int, str]]) -> tuple[int, int, str]:
+
+    y0 = 0
+    x0 = np.where(board[0] == EMPTY)[0][0]
+    r0 = "E"
+
+    for direction in directions:
+        if isinstance(direction, int):
+            while direction > 0:
+                if r0 == "E":
+                    xi = np.where(board[y0, x0 + 1 : x0 + direction + 1] == WALL)[0]
+                    if len(xi):
+                        x0 = x0 + xi[0]
+                        direction = 0
+                    elif (
+                        x0 + direction < board.shape[1]
+                        and board[y0, x0 + direction] == EMPTY
+                    ):
+                        x0 = x0 + direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            x0 = row_last_non_void[y0]
+                            direction = 0
+                        else:
+                            direction = direction - (row_last_non_void[y0] - x0) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "S":
+                    yi = np.where(board[y0 + 1 : y0 + direction + 1, x0] == WALL)[0]
+                    if len(yi):
+                        y0 = y0 + yi[0]
+                        direction = 0
+                    elif (
+                        y0 + direction < board.shape[0]
+                        and board[y0 + direction, x0] == EMPTY
+                    ):
+                        y0 = y0 + direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            y0 = col_last_non_void[x0]
+                            direction = 0
+                        else:
+                            direction = direction - (col_last_non_void[x0] - y0) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "W":
+                    left = max(x0 - direction - 1, 0)
+                    xi = np.where(board[y0, left:x0] == WALL)[0]
+                    if len(xi):
+                        x0 = left + xi[-1] + 1
+                        direction = 0
+                    elif x0 - direction >= 0 and board[y0, x0 - direction] == EMPTY:
+                        x0 = x0 - direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            x0 = row_first_non_void[y0]
+                            direction = 0
+                        else:
+                            direction = direction - (x0 - row_first_non_void[y0]) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+                elif r0 == "N":
+                    top = max(y0 - direction - 1, 0)
+                    yi = np.where(board[top:y0, x0] == WALL)[0]
+                    if len(yi):
+                        y0 = top + yi[-1] + 1
+                        direction = 0
+                    elif y0 - direction >= 0 and board[y0 - direction, x0] == EMPTY:
+                        y0 = y0 - direction
+                        direction = 0
+                    else:
+                        y0_t, x0_t, r0_t = wrap(y0, x0, r0)
+                        if board[y0_t, x0_t] == WALL:
+                            y0 = col_first_non_void[x0]
+                            direction = 0
+                        else:
+                            direction = direction - (y0 - col_first_non_void[x0]) - 1
+                            y0, x0, r0 = y0_t, x0_t, r0_t
+        else:
+            r0 = {
+                "E": {"L": "N", "R": "S"},
+                "N": {"L": "W", "R": "E"},
+                "W": {"L": "S", "R": "N"},
+                "S": {"L": "E", "R": "W"},
+            }[r0][direction]
+
+    return y0, x0, r0
+
+
+y1, x1, r1 = run(wrap_part_1)
+answer_1 = 1000 * (1 + y1) + 4 * (1 + x1) + SCORES[r1]
+print(f"answer 1 is {answer_1}")
+
+y2, x2, r2 = run(wrap_part_2)
+answer_2 = 1000 * (1 + y2) + 4 * (1 + x2) + SCORES[r2]
+print(f"answer 2 is {answer_2}")

2022/day23.py

@@ -1,8 +1,8 @@
-import itertools
+# -*- encoding: utf-8 -*-
-from collections import defaultdict
-from typing import Any, Iterator
 
-from ..base import BaseSolver
+import itertools
+import sys
+from collections import defaultdict
 
 Directions = list[
     tuple[
@@ -20,7 +20,7 @@ DIRECTIONS: Directions = [
 
 
 def min_max_yx(positions: set[tuple[int, int]]) -> tuple[int, int, int, int]:
-    ys, xs = {y for y, _x in positions}, {x for _y, x in positions}
+    ys, xs = {y for y, x in positions}, {x for y, x in positions}
     return min(ys), min(xs), max(ys), max(xs)
 
 
@@ -41,7 +41,7 @@ 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))
@@ -71,11 +71,9 @@ def round(
     directions.append(directions.pop(0))
 
 
-class Solver(BaseSolver):
-    def solve(self, input: str) -> Iterator[Any]:
 POSITIONS = {
     (i, j)
-            for i, row in enumerate(input.splitlines())
+    for i, row in enumerate(sys.stdin.read().splitlines())
     for j, col in enumerate(row)
     if col == "#"
 }
@@ -83,15 +81,14 @@ class Solver(BaseSolver):
 # === part 1 ===
 
 p1, d1 = POSITIONS.copy(), DIRECTIONS.copy()
-        for _ in range(10):
+for r in range(10):
     round(p1, d1)
 
 min_y, min_x, max_y, max_x = min_max_yx(p1)
-        yield sum(
+answer_1 = sum(
-            (y, x) not in p1
+    (y, x) not in p1 for y in range(min_y, max_y + 1) for x in range(min_x, max_x + 1)
-            for y in range(min_y, max_y + 1)
-            for x in range(min_x, max_x + 1)
 )
+print(f"answer 1 is {answer_1}")
 
 # === part 2 ===
 
@@ -105,4 +102,4 @@ class Solver(BaseSolver):
     if backup == p2:
         break
 
-        yield answer_2
+print(f"answer 2 is {answer_2}")

2022/day24.py

@@ -0,0 +1,100 @@
+# -*- encoding: utf-8 -*-
+
+import heapq
+import math
+import sys
+from collections import defaultdict
+
+lines = sys.stdin.read().splitlines()
+
+winds = {
+    (i - 1, j - 1, lines[i][j])
+    for i in range(1, len(lines) - 1)
+    for j in range(1, len(lines[i]) - 1)
+    if lines[i][j] != "."
+}
+
+n_rows, n_cols = len(lines) - 2, len(lines[0]) - 2
+CYCLE = math.lcm(n_rows, n_cols)
+
+east_winds = [{j for j in range(n_cols) if (i, j, ">") in winds} for i in range(n_rows)]
+west_winds = [{j for j in range(n_cols) if (i, j, "<") in winds} for i in range(n_rows)]
+north_winds = [
+    {i for i in range(n_rows) if (i, j, "^") in winds} for j in range(n_cols)
+]
+south_winds = [
+    {i for i in range(n_rows) if (i, j, "v") in winds} for j in range(n_cols)
+]
+
+
+def run(start: tuple[int, int], start_cycle: int, end: tuple[int, int]):
+    def heuristic(y: int, x: int) -> int:
+        return abs(end[0] - y) + abs(end[1] - x)
+
+    # (distance + heuristic, distance, (start_pos, cycle))
+    queue = [(heuristic(start[0], start[1]), 0, ((start[0], start[1]), start_cycle))]
+    visited: set[tuple[tuple[int, int], int]] = set()
+    distances: dict[tuple[int, int], dict[int, int]] = defaultdict(lambda: {})
+
+    while queue:
+        _, distance, ((y, x), cycle) = heapq.heappop(queue)
+
+        if ((y, x), cycle) in visited:
+            continue
+
+        distances[y, x][cycle] = distance
+
+        visited.add(((y, x), cycle))
+
+        if (y, x) == (end[0], end[1]):
+            break
+
+        for dy, dx in (0, 0), (-1, 0), (1, 0), (0, -1), (0, 1):
+            ty = y + dy
+            tx = x + dx
+
+            n_cycle = (cycle + 1) % CYCLE
+
+            if (ty, tx) == end:
+                heapq.heappush(queue, (distance + 1, distance + 1, ((ty, tx), n_cycle)))
+                break
+
+            if ((ty, tx), n_cycle) in visited:
+                continue
+
+            if (ty, tx) != start and (ty < 0 or tx < 0 or ty >= n_rows or tx >= n_cols):
+                continue
+
+            if (ty, tx) != start:
+                if (ty - n_cycle) % n_rows in south_winds[tx]:
+                    continue
+                if (ty + n_cycle) % n_rows in north_winds[tx]:
+                    continue
+                if (tx + n_cycle) % n_cols in west_winds[ty]:
+                    continue
+                if (tx - n_cycle) % n_cols in east_winds[ty]:
+                    continue
+
+            heapq.heappush(
+                queue,
+                ((heuristic(ty, tx) + distance + 1, distance + 1, ((ty, tx), n_cycle))),
+            )
+
+    return distances, next(iter(distances[end].values()))
+
+
+start = (
+    -1,
+    next(j for j in range(1, len(lines[0]) - 1) if lines[0][j] == ".") - 1,
+)
+end = (
+    n_rows,
+    next(j for j in range(1, len(lines[-1]) - 1) if lines[-1][j] == ".") - 1,
+)
+
+distances_1, forward_1 = run(start, 0, end)
+print(f"answer 1 is {forward_1}")
+
+distances_2, return_1 = run(end, next(iter(distances_1[end].keys())), start)
+distances_3, forward_2 = run(start, next(iter(distances_2[start].keys())), end)
+print(f"answer 2 is {forward_1 + return_1 + forward_2}")

2022/day25.py

@@ -0,0 +1,29 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+lines = sys.stdin.read().splitlines()
+
+coeffs = {"2": 2, "1": 1, "0": 0, "-": -1, "=": -2}
+
+
+def snafu2number(number: str) -> int:
+    value = 0
+    for c in number:
+        value *= 5
+        value += coeffs[c]
+    return value
+
+
+def number2snafu(number: int) -> str:
+    values = ["0", "1", "2", "=", "-"]
+    res = ""
+    while number > 0:
+        mod = number % 5
+        res = res + values[mod]
+        number = number // 5 + int(mod >= 3)
+    return "".join(reversed(res))
+
+
+answer_1 = number2snafu(sum(map(snafu2number, lines)))
+print(f"answer 1 is {answer_1}")

2022/day3.py

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

2022/day4.py

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

2022/day5.py

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

2022/day6.py

@@ -0,0 +1,17 @@
+# -*- encoding: utf-8 -*-
+
+import sys
+
+
+def index_of_first_n_differents(data: str, n: int) -> int:
+    for i in range(len(data)):
+        if len(set(data[i : i + n])) == n:
+            return i + n
+    return -1
+
+
+data = sys.stdin.read().strip()
+
+
+print(f"answer 1 is {index_of_first_n_differents(data, 4)}")
+print(f"answer 2 is {index_of_first_n_differents(data, 14)}")

2022/day7.py

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

2022/day8.py

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

2022/day9.py

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

2023/day1.py

@@ -0,0 +1,45 @@
+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/day10.py

@@ -0,0 +1,13 @@
+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/day11.py

@@ -0,0 +1,13 @@
+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/day12.py

@@ -0,0 +1,13 @@
+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/day13.py

@@ -0,0 +1,13 @@
+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/day14.py

@@ -0,0 +1,13 @@
+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/day15.py

@@ -0,0 +1,13 @@
+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/day16.py

@@ -0,0 +1,13 @@
+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/day17.py

@@ -0,0 +1,13 @@
+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/day18.py

@@ -0,0 +1,13 @@
+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/day19.py

@@ -0,0 +1,13 @@
+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/day2.py

@@ -0,0 +1,45 @@
+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/day20.py

@@ -0,0 +1,13 @@
+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/day21.py

@@ -0,0 +1,13 @@
+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/day22.py

@@ -0,0 +1,13 @@
+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/day23.py

@@ -0,0 +1,13 @@
+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/day24.py

@@ -0,0 +1,13 @@
+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/day25.py

@@ -0,0 +1,13 @@
+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/day3.py

@@ -0,0 +1,53 @@
+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

@@ -0,0 +1,41 @@
+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

@@ -0,0 +1,129 @@
+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}")