2023 day 17, v2.

2023/day12.py

@@ -1,13 +1,107 @@
+import os
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from functools import lru_cache
+from typing import Iterable
+
+VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+
+
+@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
+        )
+
+
+def compute_all_possible_arrangements(lines: Iterable[str], repeat: int) -> int:
+    count = 0
+
+    if VERBOSE:
+        from tqdm import tqdm
+
+        lines = tqdm(lines)
+
+    for line in lines:
+        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
+
 
 lines = sys.stdin.read().splitlines()
 
+
 # part 1
-answer_1 = ...
+answer_1 = compute_all_possible_arrangements(lines, 1)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_2 = ...
+answer_2 = compute_all_possible_arrangements(lines, 5)
 print(f"answer 2 is {answer_2}")

2023/day13.py

@@ -1,13 +1,43 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from typing import Callable, Literal
+
+
+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
+
+
+blocks = [block.splitlines() for block in sys.stdin.read().split("\n\n")]
 
-lines = sys.stdin.read().splitlines()
 
 # part 1
-answer_1 = ...
+answer_1 = sum(
+    split(block, axis=1, count=0) + 100 * split(block, axis=0, count=0)
+    for block in blocks
+)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_2 = ...
+answer_2 = sum(
+    split(block, axis=1, count=1) + 100 * split(block, axis=0, count=1)
+    for block in blocks
+)
 print(f"answer 2 is {answer_2}")

2023/day14.py

@@ -1,13 +1,68 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from typing import TypeAlias
 
-lines = sys.stdin.read().splitlines()
+RockGrid: TypeAlias = list[list[str]]
+
+rocks0 = [list(line) for line in sys.stdin.read().splitlines()]
+
+
+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
+
+
+rocks = slide_rocks_top([[c for c in r] for r in rocks0])
 
 # part 1
-answer_1 = ...
+answer_1 = sum(
+    (len(rocks) - i) * sum(1 for c in row if c == "O") for i, row in enumerate(rocks)
+)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_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
+
+answer_2 = sum(
+    (len(rocks) - i) * sum(1 for c in row if c == "O")
+    for i, row in enumerate(cycles[ci])
+)
 print(f"answer 2 is {answer_2}")

2023/day15.py

@@ -1,13 +1,31 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from functools import reduce
+
+steps = sys.stdin.read().strip().split(",")
+
+
+def _hash(s: str) -> int:
+    return reduce(lambda v, u: ((v + ord(u)) * 17) % 256, s, 0)
 
-lines = sys.stdin.read().splitlines()
 
 # part 1
-answer_1 = ...
+answer_1 = sum(map(_hash, steps))
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_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)
+
+answer_2 = 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)
+)
 print(f"answer 2 is {answer_2}")

2023/day16.py

@@ -1,13 +1,110 @@
+import os
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from typing import Literal, TypeAlias, cast
 
-lines = sys.stdin.read().splitlines()
+VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+
+CellType: TypeAlias = Literal[".", "|", "-", "\\", "/"]
+Direction: TypeAlias = Literal["R", "L", "U", "D"]
+
+Mappings: dict[
+    CellType,
+    dict[
+        Direction,
+        tuple[tuple[tuple[int, int, Direction], ...], tuple[Direction, ...]],
+    ],
+] = {
+    ".": {
+        "R": (((0, +1, "R"),), ("R", "L")),
+        "L": (((0, -1, "L"),), ("R", "L")),
+        "U": (((-1, 0, "U"),), ("U", "D")),
+        "D": (((+1, 0, "D"),), ("U", "D")),
+    },
+    "-": {
+        "R": (((0, +1, "R"),), ("R", "L")),
+        "L": (((0, -1, "L"),), ("R", "L")),
+        "U": (((0, +1, "R"), (0, -1, "L")), ("U", "D")),
+        "D": (((0, +1, "R"), (0, -1, "L")), ("U", "D")),
+    },
+    "|": {
+        "U": (((-1, 0, "U"),), ("U", "D")),
+        "D": (((+1, 0, "D"),), ("U", "D")),
+        "R": (((-1, 0, "U"), (+1, 0, "D")), ("R", "L")),
+        "L": (((-1, 0, "U"), (+1, 0, "D")), ("R", "L")),
+    },
+    "/": {
+        "R": (((-1, 0, "U"),), ("R", "D")),
+        "L": (((+1, 0, "D"),), ("L", "U")),
+        "U": (((0, +1, "R"),), ("U", "L")),
+        "D": (((0, -1, "L"),), ("R", "D")),
+    },
+    "\\": {
+        "R": (((+1, 0, "D"),), ("R", "U")),
+        "L": (((-1, 0, "U"),), ("L", "D")),
+        "U": (((0, -1, "L"),), ("U", "R")),
+        "D": (((0, +1, "R"),), ("L", "D")),
+    },
+}
+
+
+def propagate(
+    layout: list[list[CellType]], start: tuple[int, int], direction: Direction
+) -> list[list[tuple[Direction, ...]]]:
+    n_rows, n_cols = len(layout), len(layout[0])
+
+    beams: list[list[tuple[Direction, ...]]] = [
+        [() for _ in range(len(layout[0]))] for _ in range(len(layout))
+    ]
+
+    queue = [(start, direction)]
+
+    while queue:
+        (row, col), direction = queue.pop()
+
+        if (
+            row not in range(0, n_rows)
+            or col not in range(0, n_cols)
+            or direction in beams[row][col]
+        ):
+            continue
+
+        moves, update = Mappings[layout[row][col]][direction]
+
+        beams[row][col] += update
+
+        for move in moves:
+            queue.append(((row + move[0], col + move[1]), move[2]))
+
+    return beams
+
+
+layout: list[list[CellType]] = [
+    [cast(CellType, col) for col in row] for row in sys.stdin.read().splitlines()
+]
+
+
+beams = propagate(layout, (0, 0), "R")
+
+if VERBOSE:
+    print("\n".join(["".join("#" if col else "." for col in row) for row in beams]))
 
 # part 1
-answer_1 = ...
+answer_1 = sum(sum(map(bool, row)) for row in beams)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_2 = ...
+n_rows, n_cols = len(layout), len(layout[0])
+cases: list[tuple[tuple[int, int], Direction]] = []
+
+for row in range(n_rows):
+    cases.append(((row, 0), "R"))
+    cases.append(((row, n_cols - 1), "L"))
+for col in range(n_cols):
+    cases.append(((0, col), "D"))
+    cases.append(((n_rows - 1, col), "U"))
+
+answer_2 = max(
+    sum(sum(map(bool, row)) for row in propagate(layout, start, direction))
+    for start, direction in cases
+)
 print(f"answer 2 is {answer_2}")

2023/day17.py

@@ -1,13 +1,214 @@
+from __future__ import annotations
+
+import heapq
+import os
 import sys
 from collections import defaultdict
 from dataclasses import dataclass
+from typing import Literal, TypeAlias
 
-lines = sys.stdin.read().splitlines()
+VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+
+Direction: TypeAlias = Literal[">", "<", "^", "v"]
+
+
+@dataclass(frozen=True, order=True)
+class Label:
+    row: int
+    col: int
+
+    direction: Direction
+
+    parent: Label | None = None
+
+
+# mappings from direction to row shift / col shift / opposite direction
+MAPPINGS: dict[Direction, tuple[int, int, Direction]] = {
+    ">": (0, +1, "<"),
+    "<": (0, -1, ">"),
+    "v": (+1, 0, "^"),
+    "^": (-1, 0, "v"),
+}
+
+
+def print_shortest_path(
+    grid: list[list[int]],
+    target: tuple[int, int],
+    per_cell: dict[tuple[int, int], list[tuple[Label, int]]],
+):
+    assert len(per_cell[target]) == 1
+    label = per_cell[target][0][0]
+
+    path: list[Label] = []
+    while True:
+        path.insert(0, label)
+        if label.parent is None:
+            break
+        label = label.parent
+
+    p_grid = [[str(c) for c in r] for r in grid]
+
+    for i in range(len(grid)):
+        for j in range(len(grid[0])):
+            if per_cell[i, j]:
+                p_grid[i][j] = f"\033[94m{grid[i][j]}\033[0m"
+
+    prev_label = path[0]
+    for label in path[1:]:
+        for r in range(
+            min(prev_label.row, label.row), max(prev_label.row, label.row) + 1
+        ):
+            for c in range(
+                min(prev_label.col, label.col),
+                max(prev_label.col, label.col) + 1,
+            ):
+                if (r, c) != (prev_label.row, prev_label.col):
+                    p_grid[r][c] = f"\033[93m{grid[r][c]}\033[0m"
+
+        p_grid[label.row][label.col] = f"\033[91m{grid[label.row][label.col]}\033[0m"
+
+        prev_label = label
+
+    p_grid[0][0] = f"\033[92m{grid[0][0]}\033[0m"
+
+    print("\n".join("".join(row) for row in p_grid))
+
+
+def shortest_many_paths(grid: list[list[int]]) -> dict[tuple[int, int], int]:
+    n_rows, n_cols = len(grid), len(grid[0])
+
+    visited: dict[tuple[int, int], tuple[Label, int]] = {}
+
+    queue: list[tuple[int, Label]] = [
+        (0, Label(row=n_rows - 1, col=n_cols - 1, direction="^"))
+    ]
+
+    while queue and len(visited) != n_rows * n_cols:
+        distance, label = heapq.heappop(queue)
+
+        if (label.row, label.col) in visited:
+            continue
+
+        visited[label.row, label.col] = (label, distance)
+
+        for direction, (c_row, c_col, i_direction) in MAPPINGS.items():
+            if label.direction == i_direction:
+                continue
+            else:
+                row, col = (label.row + c_row, label.col + c_col)
+
+            # exclude labels outside the grid or with too many moves in the same
+            # direction
+            if row not in range(0, n_rows) or col not in range(0, n_cols):
+                continue
+
+            heapq.heappush(
+                queue,
+                (
+                    distance
+                    + sum(
+                        grid[r][c]
+                        for r in range(min(row, label.row), max(row, label.row) + 1)
+                        for c in range(min(col, label.col), max(col, label.col) + 1)
+                    )
+                    - grid[row][col],
+                    Label(
+                        row=row,
+                        col=col,
+                        direction=direction,
+                        parent=label,
+                    ),
+                ),
+            )
+
+    return {(r, c): visited[r, c][1] for r in range(n_rows) for c in range(n_cols)}
+
+
+def shortest_path(
+    grid: list[list[int]],
+    min_straight: int,
+    max_straight: int,
+    lower_bounds: dict[tuple[int, int], int],
+) -> int:
+    n_rows, n_cols = len(grid), len(grid[0])
+
+    target = (len(grid) - 1, len(grid[0]) - 1)
+
+    # for each tuple (row, col, direction, count), the associated label when visited
+    visited: dict[tuple[int, int, Direction], Label] = {}
+
+    # list of all visited labels for a cell (with associated distance)
+    per_cell: dict[tuple[int, int], list[tuple[Label, int]]] = defaultdict(list)
+
+    # need to add two start labels, otherwise one of the two possible direction will
+    # not be possible
+    queue: list[tuple[int, int, Label]] = [
+        (lower_bounds[0, 0], 0, Label(row=0, col=0, direction="^")),
+        (lower_bounds[0, 0], 0, Label(row=0, col=0, direction="<")),
+    ]
+
+    while queue:
+        _, distance, label = heapq.heappop(queue)
+
+        if (label.row, label.col, label.direction) in visited:
+            continue
+
+        visited[label.row, label.col, label.direction] = label
+        per_cell[label.row, label.col].append((label, distance))
+
+        if (label.row, label.col) == target:
+            break
+
+        for direction, (c_row, c_col, i_direction) in MAPPINGS.items():
+            # cannot move in the opposite direction
+            if label.direction == i_direction or label.direction == direction:
+                continue
+
+            distance_to = distance
+
+            for amount in range(1, max_straight + 1):
+                row, col = (
+                    label.row + amount * c_row,
+                    label.col + amount * c_col,
+                )
+
+                # exclude labels outside the grid or with too many moves in the same
+                # direction
+                if not (0 <= row < n_rows and 0 <= col < n_cols):
+                    break
+
+                distance_to += grid[row][col]
+
+                if amount < min_straight:
+                    continue
+
+                heapq.heappush(
+                    queue,
+                    (
+                        distance_to + lower_bounds[row, col],
+                        distance_to,
+                        Label(
+                            row=row,
+                            col=col,
+                            direction=direction,
+                            parent=label,
+                        ),
+                    ),
+                )
+
+    if VERBOSE:
+        print_shortest_path(grid, target, per_cell)
+
+    return per_cell[target][0][1]
+
+
+data = [[int(c) for c in r] for r in sys.stdin.read().splitlines()]
+estimates = shortest_many_paths(data)
 
 # part 1
-answer_1 = ...
+answer_1 = shortest_path(data, 1, 3, lower_bounds=estimates)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_2 = ...
+answer_2 = shortest_path(data, 4, 10, lower_bounds=estimates)
 print(f"answer 2 is {answer_2}")

2023/day18.py

@@ -1,13 +1,54 @@
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from typing import Literal, TypeAlias, cast
+
+Direction: TypeAlias = Literal["R", "L", "U", "D"]
+
+DIRECTIONS: list[Direction] = ["R", "D", "L", "U"]
+MOVES: dict[Direction, tuple[int, int]] = {
+    "R": (0, +1),
+    "L": (0, -1),
+    "U": (-1, 0),
+    "D": (+1, 0),
+}
+
+
+def area(corners: list[tuple[int, int]], perimeter: int) -> int:
+    area = abs(
+        sum(c0[0] * c1[1] - c0[1] * c1[0] for c0, c1 in zip(corners, corners[1::])) // 2
+    )
+    return 1 + area - perimeter // 2 + perimeter
+
+
+def polygon(values: list[tuple[Direction, int]]) -> tuple[list[tuple[int, int]], int]:
+    perimeter = 0
+    corners: list[tuple[int, int]] = [(0, 0)]
+    for direction, amount in values:
+        perimeter += amount
+        corners.append(
+            (
+                corners[-1][0] + amount * MOVES[direction][0],
+                corners[-1][1] + amount * MOVES[direction][1],
+            )
+        )
+    return corners, perimeter
+
 
 lines = sys.stdin.read().splitlines()
 
+
 # part 1
-answer_1 = ...
+answer_1 = area(
+    *polygon([(cast(Direction, (p := line.split())[0]), int(p[1])) for line in lines])
+)
 print(f"answer 1 is {answer_1}")
 
 # part 2
-answer_2 = ...
+answer_2 = area(
+    *polygon(
+        [
+            (DIRECTIONS[int((h := line.split()[-1])[-2])], int(h[2:-2], 16))
+            for line in lines
+        ]
+    )
+)
 print(f"answer 2 is {answer_2}")

2023/day19.py

@@ -1,13 +1,132 @@
+import logging
+import operator
+import os
 import sys
-from collections import defaultdict
-from dataclasses import dataclass
+from math import prod
+from typing import Literal, TypeAlias, cast
 
-lines = sys.stdin.read().splitlines()
+VERBOSE = os.getenv("AOC_VERBOSE") == "True"
+
+logging.basicConfig(level=logging.INFO if VERBOSE else logging.WARNING)
+
+Category: TypeAlias = Literal["x", "m", "a", "s"]
+Part: TypeAlias = dict[Category, int]
+PartWithBounds: TypeAlias = dict[Category, tuple[int, int]]
+
+OPERATORS = {"<": operator.lt, ">": operator.gt}
+
+# None if there is no check (last entry), otherwise (category, sense, value)
+Check: TypeAlias = tuple[Category, Literal["<", ">"], int] | None
+
+# workflow as a list of check, in specified order, with target
+Workflow: TypeAlias = list[tuple[Check, str]]
+
+
+def accept(workflows: dict[str, Workflow], part: Part) -> bool:
+    workflow = "in"
+    decision: bool | None = None
+
+    while decision is None:
+        for check, target in workflows[workflow]:
+            ok = check is None
+            if check is not None:
+                category, sense, value = check
+                ok = OPERATORS[sense](part[category], value)
+
+            if ok:
+                if target in workflows:
+                    workflow = target
+                else:
+                    decision = target == "A"
+                break
+
+    return decision
+
+
+def propagate(workflows: dict[str, Workflow], start: PartWithBounds) -> int:
+    def transfer_or_accept(
+        target: str, meta: PartWithBounds, queue: list[tuple[PartWithBounds, str]]
+    ) -> int:
+        if target in workflows:
+            logging.info(f"  transfer to {target}")
+            queue.append((meta, target))
+            return 0
+        elif target == "A":
+            logging.info("  accepted")
+            return prod((high - low + 1) for low, high in meta.values())
+        else:
+            logging.info("  rejected")
+            return 0
+
+    accepted = 0
+    queue: list[tuple[PartWithBounds, str]] = [(start, "in")]
+
+    while queue:
+        meta, workflow = queue.pop()
+        logging.info(f"{workflow}: {meta}")
+        for check, target in workflows[workflow]:
+            if check is None:
+                accepted += transfer_or_accept(target, meta, queue)
+                continue
+
+            category, sense, value = check
+            bounds, op = meta[category], OPERATORS[sense]
+
+            logging.info(f"  splitting {meta} into {category} {sense} {value}")
+
+            if not op(bounds[0], value) and not op(bounds[1], value):
+                logging.info("  reject, always false")
+                continue
+
+            if op(meta[category][0], value) and op(meta[category][1], value):
+                logging.info("  accept, always true")
+                accepted += transfer_or_accept(target, meta, queue)
+                break
+
+            meta2 = meta.copy()
+            if sense == "<":
+                meta2[category] = (meta[category][0], value - 1)
+                meta[category] = (value, meta[category][1])
+            else:
+                meta2[category] = (value + 1, meta[category][1])
+                meta[category] = (meta[category][0], value)
+            logging.info(f"  split {meta2} ({target}), {meta}")
+
+            accepted += transfer_or_accept(target, meta2, queue)
+
+    return accepted
+
+
+workflows_s, parts_s = sys.stdin.read().strip().split("\n\n")
+
+workflows: dict[str, Workflow] = {}
+for workflow_s in workflows_s.split("\n"):
+    name, block_s = workflow_s.split("{")
+    workflows[name] = []
+
+    for block in block_s[:-1].split(","):
+        check: Check
+        if (i := block.find(":")) >= 0:
+            check, target = (
+                cast(Category, block[0]),
+                cast(Literal["<", ">"], block[1]),
+                int(block[2:i]),
+            ), block[i + 1 :]
+        else:
+            check, target = None, block
+        workflows[name].append((check, target))
 
 # part 1
-answer_1 = ...
+parts: list[Part] = [
+    {cast(Category, s[0]): int(s[2:]) for s in part_s[1:-1].split(",")}
+    for part_s in parts_s.split("\n")
+]
+answer_1 = sum(sum(part.values()) for part in parts if accept(workflows, part))
 print(f"answer 1 is {answer_1}")
 
+
 # part 2
-answer_2 = ...
+answer_2 = propagate(
+    workflows, {cast(Category, c): (1, 4000) for c in ["x", "m", "a", "s"]}
+)
 print(f"answer 2 is {answer_2}")

2023/inputs/day14.txt

@@ -0,0 +1,100 @@
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2023/inputs/day16.txt

@@ -0,0 +1,110 @@
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+U 9 (#1cc023)
+L 6 (#45f0c2)
+D 11 (#5e68b3)
+L 9 (#786dd0)
+D 14 (#1ceb83)
+R 9 (#75c2b2)
+D 9 (#150751)
+L 5 (#4f6762)
+D 5 (#267841)
+L 8 (#250ed2)
+U 3 (#6b17c1)
+L 10 (#583a82)
+U 3 (#3bef71)
+L 5 (#68e0f2)
+U 11 (#4fdf61)
+L 12 (#485b32)
+U 4 (#0dfe11)
+R 4 (#614b92)
+U 6 (#8b2c33)
+R 10 (#58dab2)
+D 6 (#349073)
+R 3 (#5d7782)
+U 4 (#248903)
+R 10 (#19ee82)
+U 6 (#6c1543)
+L 6 (#6a8212)
+U 8 (#2c7ee3)
+L 5 (#22ab82)
+U 3 (#8a9d43)
+L 11 (#217212)
+U 4 (#385233)
+L 2 (#10d002)
+U 9 (#4d36b1)
+L 9 (#19ace2)
+U 5 (#6f27d1)
+L 4 (#7d9e82)
+U 11 (#241d03)
+L 9 (#0e0cc2)
+U 5 (#1e5093)
+L 4 (#8a9a32)
+U 6 (#414ef3)
+R 12 (#8a9a30)
+U 2 (#38a203)
+L 12 (#3456f2)
+U 3 (#156dd3)
+L 3 (#267ac2)
+U 10 (#3b5203)
+L 2 (#4912d2)
+U 5 (#750db3)
+L 11 (#4912d0)
+U 8 (#15f963)
+L 3 (#5897d2)
+U 3 (#401cc3)
+L 9 (#32ffc2)
+U 7 (#78bde3)
+L 6 (#3fc702)
+D 6 (#4fd523)
+L 12 (#5be3d2)
+D 2 (#401483)
+L 3 (#4eb542)
+D 13 (#0cf9c3)
+L 3 (#4b3d42)
+U 14 (#6716d3)
+L 6 (#12d372)
+U 7 (#69f8a3)
+L 9 (#7210b2)
+D 7 (#1740b3)
+L 5 (#083fe2)
+U 9 (#515bc3)

2023/inputs/day19.txt

@@ -0,0 +1,779 @@
+qq{m<124:cln,s>2278:ngs,flb}
+zpg{s<2205:R,A}
+sqc{s<3500:tt,a>3595:vcv,msq}
+mxk{a<3598:R,R}
+rl{s>3383:R,s>3213:A,A}
+jkf{x<1611:A,m>2419:A,a<3305:A,R}
+fg{s>2520:klk,s<2081:xv,R}
+hs{s>466:kv,ks}
+vhk{x>372:A,jqj}
+cf{x>304:R,A}
+jbn{x>3003:A,rgz}
+tc{s<441:R,R}
+dh{m>2530:tr,A}
+vz{s<808:fl,x<1142:R,bc}
+mt{x>2677:A,m<1517:R,a>3096:R,A}
+bh{a<1985:R,R}
+vns{m>1190:xxl,x>1874:R,a>2111:dfq,A}
+bns{s>1309:A,s>1016:R,R}
+gnn{s<2045:vm,m<1120:R,A}
+gxs{x>2353:rp,dsj}
+xtn{m>780:A,R}
+jtj{a<403:R,a<710:jhv,s>2646:gt,A}
+vfd{x<3531:R,x>3697:A,A}
+th{s>3251:rd,prz}
+bbk{x>2564:nr,m>844:A,A}
+pc{a<717:nn,s>1340:R,rh}
+lcm{m<318:R,m<357:xps,x<2342:A,ptz}
+zxg{a<1397:R,A}
+fx{a>3110:tsg,m<1200:nqz,x>693:qgr,gkc}
+jqj{s<3265:A,m<352:R,a<2123:A,R}
+gcm{a>2418:A,zrr}
+hn{s<3612:A,A}
+prh{a>3047:A,m>1086:R,R}
+vlv{x>1193:R,R}
+dv{s>3789:R,m<721:A,A}
+rc{s>358:fm,a<3107:psv,m<2563:R,dn}
+ns{s>857:rn,x>2466:hs,m<2861:rvr,mg}
+gt{a<852:A,A}
+rgz{a>1013:R,x<2875:R,A}
+tmh{m<1289:R,A}
+qp{a>3693:fqf,R}
+sjh{x<2554:pnh,zzs}
+qx{m>95:A,s>1748:R,A}
+jrq{s>383:ls,glt}
+qtz{m<1232:R,x>118:A,x<48:A,A}
+xqj{s>2609:R,s>2220:A,s<1882:R,A}
+cnj{m<837:A,m>953:A,A}
+rfd{m>409:A,A}
+mj{m<1083:R,m>1143:R,m<1117:R,A}
+zrr{s>3159:R,x<649:A,m<1930:R,R}
+vd{a<619:A,s>1355:rs,thz}
+psv{a<2658:R,A}
+km{x<887:A,A}
+lk{s<3018:A,s<3214:A,A}
+bx{m<3605:dp,s>796:tpc,s>736:tl,A}
+xbb{x>1990:R,A}
+ljr{a>1453:A,a<664:A,s>826:R,R}
+pxc{x<3410:mv,A}
+pz{a<1021:vd,dh}
+tsq{a<2081:td,x<3227:A,a>2737:A,A}
+ndk{a>2912:A,x<3692:A,R}
+pmx{s>1991:R,x<925:A,A}
+mb{m<762:A,R}
+rqr{a>3566:lkn,a>3365:km,R}
+jbh{s>3368:A,x>966:A,x<609:R,A}
+sj{x>426:A,m<1035:A,x<382:R,A}
+nkg{a<1481:A,A}
+dzz{x>1787:R,x<1661:A,s<1983:R,R}
+tj{s<1421:R,R}
+ggq{a<3565:A,a<3673:A,x>1988:A,A}
+lq{x>551:vz,s<965:cz,s<1430:mc,hvz}
+rx{a<124:A,s<3662:R,R}
+qgk{a<41:kjf,xp}
+jt{x<2480:R,x>3296:R,A}
+vxn{a>3362:R,s<2834:A,R}
+fbg{s<387:R,a>2827:A,a>2450:R,A}
+kxz{a>222:A,m>722:A,s>3555:R,A}
+ngs{a<1478:A,A}
+rfz{s>1384:A,R}
+ln{a<3096:A,x>2407:R,A}
+rxd{a<2871:A,s<186:R,R}
+dm{a<2822:A,m<1559:dzz,m>1662:rql,glh}
+gd{m<1204:jn,qqm}
+bgv{a>3681:A,a>3496:R,x>2728:A,R}
+zld{m>1547:A,A}
+hc{a<528:A,R}
+rvr{a<2846:hzv,x<1787:jkf,x<2087:nh,lz}
+ff{s<2834:A,m<1066:A,x>3407:R,A}
+lmz{m>1324:A,x<2306:R,A}
+xr{x>482:tpd,hbb}
+fv{x>2322:A,m<1171:A,R}
+rgm{x>727:fhl,m<327:tj,nt}
+zn{m<934:nsd,A}
+bjm{x>2872:tn,a<392:A,gq}
+mf{x<2780:gvc,x>3259:bs,a>625:chc,lb}
+hxq{a<1254:rqc,s<3467:R,m>794:ssm,dv}
+rf{s<1024:R,qjh}
+mfl{s>1795:R,m<310:A,xgc}
+zm{x<2067:rb,m<2243:cb,A}
+kfb{s>1924:R,xmc}
+ss{x>209:R,x<83:R,m<1346:bf,mks}
+zzs{s<1996:R,m<3275:A,m<3657:A,A}
+rpm{x>3019:A,x>2879:R,x>2821:R,A}
+nv{a<2055:R,A}
+dsj{a>2870:qxp,s<2558:qxq,a<2508:xtn,xbb}
+lkx{a>466:pdz,qkb}
+tl{a>1430:A,A}
+mrs{s<3460:A,jq}
+rn{a<3242:xz,m<3049:hk,mvt}
+rls{s>1992:R,x<3232:R,A}
+zfl{x<342:hgd,a>3184:dhv,x<540:grt,lh}
+pxx{m>395:zl,m<236:qq,a<1341:jgx,rm}
+ffl{s<3538:R,s>3703:R,m>340:R,A}
+nxc{x<1729:R,R}
+gm{m>604:R,a<143:R,A}
+mxv{m>3188:A,R}
+kj{m<3136:A,s<1161:R,s>1526:A,A}
+rtg{s<1804:A,R}
+cx{m<1217:R,A}
+hnb{m<358:A,a<1155:R,a<1244:R,A}
+mtb{s>481:A,m<2460:A,s<209:A,A}
+kff{a>1343:gff,x>2311:px,m<494:A,A}
+zv{m>173:prx,x<3121:qx,x>3495:hhb,dbj}
+bf{x>144:R,m<967:R,m>1095:A,R}
+qjp{x<3358:A,rjj}
+jm{x>747:pj,zfl}
+fr{m<518:A,a<3852:A,s<1823:A,A}
+bjs{s<382:A,R}
+ths{a>1275:R,R}
+vm{m<1050:A,s>1802:R,R}
+vkd{s>3699:R,m>1661:R,m>1657:A,R}
+zq{a>1445:fx,a>573:xr,a>207:tz,pds}
+bxq{s<2987:A,x>2945:A,m>2477:hn,A}
+kfp{s<2067:hx,x<2905:mjh,qh}
+fhk{a>616:A,A}
+sm{x<2911:A,m<2998:R,A}
+dr{m>423:dfd,m>244:rgm,qdc}
+jc{m<296:tgc,m<329:A,m<368:R,R}
+dvm{m<2892:bdq,s<687:xsv,bx}
+dn{x>1227:A,R}
+xhf{s<291:R,A}
+hb{s<187:R,x>1651:mxv,x>1512:R,A}
+thz{s<1094:R,s>1208:A,A}
+lf{x<1807:R,R}
+kt{m>629:R,s<1410:A,A}
+ht{m>1527:A,R}
+lb{x>3046:rsr,bjm}
+drm{s<3561:A,m>1576:ln,kg}
+zt{m>1215:rzb,x>1379:jrq,x>500:cpg,hgt}
+zqx{x>857:R,m>583:R,R}
+zg{s<1905:A,a>1876:A,R}
+nrp{a>2363:A,x<1949:R,s>353:R,R}
+vf{a>1843:jbh,a>641:hdr,R}
+jkj{x>2189:njq,a<906:lpz,ch}
+ztt{a>1528:pxh,a<1377:R,R}
+pjp{s<1463:R,a>3119:A,x<2392:R,R}
+xvq{a>3038:R,a<2716:R,A}
+fn{a<2943:R,R}
+tf{m>1626:dlz,s>3304:drm,x<2822:fq,qjp}
+srj{a<1910:A,x>590:R,A}
+qnf{a>472:R,x<1093:A,A}
+zl{s>2057:jht,kff}
+xp{m>1276:R,x>1131:A,R}
+fp{a>3303:R,R}
+fqb{s<3164:cjs,vjx}
+td{a<1177:A,R}
+rql{x<2044:R,a>3496:R,R}
+np{a>1991:A,R}
+ntv{a<1430:xj,A}
+zj{m>2552:jrs,s>177:qft,fqs}
+hkk{s>3106:R,x<1911:A,s>3030:A,R}
+lx{s>3328:A,x>3075:R,m<1282:jlj,lmz}
+pds{x>913:bdt,mh}
+msq{s>3758:A,m<598:R,R}
+gx{a<3706:A,m>3342:A,a>3847:A,A}
+fq{s>2904:hkk,a<3172:vx,m<1571:fj,A}
+dnq{a>1192:R,m<282:A,s>751:R,A}
+vrc{s<2718:R,m>569:A,R}
+rbc{m<3801:mrs,tsq}
+dp{a>1019:R,x<2964:R,x>3536:A,R}
+dfm{a<454:A,A}
+qgr{m>1464:fdd,x<1064:zhg,x<1264:vlv,fg}
+jn{m<971:gxs,x>2623:sr,a>2847:ld,dhb}
+dtr{a>846:vt,A}
+xnh{s>2928:R,m>2462:mzl,gh}
+gbh{a>2860:dmk,R}
+rh{x>1962:A,a>884:A,m>1283:A,R}
+cqg{s>1074:A,s<1009:bj,A}
+krf{s<2703:A,x>844:R,R}
+xsv{m<3372:R,ll}
+ntf{m>395:R,A}
+tkz{a>1158:sd,a>1097:bt,a>1025:A,tlc}
+chb{m>1102:A,x<1184:A,A}
+mg{s>539:tzb,x>2016:rxd,m<3416:hb,xbr}
+rsr{x>3175:R,x>3125:R,x>3074:A,R}
+nc{a<1746:tg,cqb}
+mc{s>1261:kdh,x<287:A,pb}
+zp{m<459:R,m>470:A,A}
+gff{m<525:A,s<955:A,R}
+sz{s<1505:rt,x<1420:zq,a>2173:gd,ntm}
+qhp{m>482:R,a>3481:bbd,zp}
+scp{m<343:A,a>3576:R,R}
+bs{x<3708:jtj,dfm}
+zpd{s<2641:A,a>3649:R,x>1808:A,R}
+kch{m<495:A,a>3358:A,R}
+pxh{a>1769:R,s<2378:A,R}
+hp{m>375:rtg,a>3294:scp,R}
+prx{a>3091:R,s<1699:R,a>2403:R,jnl}
+qxq{s>2201:A,A}
+klk{x<1323:R,s>3383:R,x>1371:R,R}
+bbd{s<3698:R,A}
+hf{x>1060:A,A}
+pgv{x>1739:A,m<1721:R,A}
+kpg{x<2127:A,s<2348:R,a<758:R,R}
+qf{m>1314:A,m<1037:A,mn}
+mkf{m<1417:srj,csb}
+dkp{x>1917:A,R}
+rp{s>2871:zh,mb}
+jf{s<3124:R,s>3145:R,m>2988:R,R}
+xqx{m<811:R,x<2084:A,m<948:R,A}
+qng{a>2081:R,a>1837:A,x>936:A,A}
+chc{a<868:mfl,a<946:zgm,a>1000:jbn,spd}
+qnq{m>568:R,bvd}
+zc{s<455:A,A}
+mvt{m>3633:R,gx}
+tg{a>1031:pxx,x<1626:qkr,mf}
+ps{m<1395:A,m<1564:A,a<765:A,A}
+mhq{x>1140:R,s>1385:R,A}
+jmq{s<3074:vxn,R}
+nm{s>1659:A,a<1639:R,A}
+ntm{s<3024:khz,a>908:ffn,lkx}
+zcg{s>3555:cr,a<365:R,m<1210:A,qkt}
+fcx{m>1712:A,A}
+prz{a<1950:R,R}
+xc{m>1497:hnn,m>1390:R,s<2173:kmr,pch}
+rmr{a<1701:A,R}
+pdm{s>2129:R,m>92:R,m<83:A,R}
+px{x>3173:A,m<503:R,a<1203:A,A}
+jnl{s<2891:A,x>3216:A,A}
+xv{x<1328:R,s<1886:A,R}
+qkz{a>248:A,A}
+rqc{x<2656:R,A}
+dk{s>3461:lt,a<2963:dqg,jmq}
+rzb{x<2285:R,A}
+dj{a>800:R,A}
+jtm{a>3279:R,A}
+hgr{x<1371:A,R}
+nnr{s>2293:R,s>2192:A,R}
+fqs{s>103:A,dj}
+lt{s>3777:R,fcx}
+bdt{s<2481:gxl,a<74:qgk,bsk}
+mrg{s>3501:kk,x>2191:bfx,a>239:jj,R}
+gjr{s>3138:lj,R}
+vl{s>3133:R,R}
+zf{m<1034:A,s>1789:R,x>2747:hkg,nm}
+rrl{a>3092:klh,s<2055:vgh,df}
+ltb{s<3051:bn,s>3182:bh,jf}
+rm{a>1498:vs,s>2424:lcm,ntv}
+cz{x<208:ctv,ttg}
+dqt{a>3689:R,m>3136:A,R}
+xmc{a<3345:A,R}
+gvc{x>2201:skf,m<380:ptx,dkp}
+spd{m>312:R,svt}
+pm{s<1803:hgh,gfc}
+vcr{s<3216:A,R}
+vs{a<1643:dxs,jt}
+ng{x<3135:bnl,a>1105:nkg,R}
+gqs{m>1468:R,R}
+pj{s>921:mhq,x>1039:rc,bds}
+vsd{s>3368:A,vlp}
+mjh{a>323:fv,s<2389:zpg,pq}
+jth{a>1900:R,m>2883:A,A}
+xj{m<337:A,A}
+kk{a>304:R,R}
+mn{x>573:A,a>3549:R,m<1151:A,R}
+khz{a>1112:xt,a>636:vq,kfp}
+ls{a>3452:A,m<1024:R,R}
+sc{s<1996:R,R}
+crh{m>1180:R,x<1333:R,a<257:R,A}
+pkh{a>315:A,x>1206:crh,qkz}
+mks{m<1571:R,R}
+xz{s<1464:R,s>1612:A,m<2600:snb,A}
+fdd{m<1615:xqj,qng}
+sd{x>1040:A,A}
+ztc{x<569:A,a<2818:R,m>1428:A,A}
+qkt{s>3318:R,s<3216:R,A}
+mx{a<2344:R,m<376:R,R}
+cgr{m>875:A,kxz}
+sgv{s>2367:tmh,s>1876:A,A}
+vq{x>2492:dtr,a>949:qz,m>1264:xc,pl}
+jsg{a<2736:A,fn}
+rlh{m>854:hgr,np}
+nvm{x<461:jx,m<275:dgd,a<3565:kch,fr}
+tn{a<273:A,R}
+ll{a<772:A,a>1508:R,m>3697:R,R}
+ck{x<2065:mvc,a>2397:R,m<1090:A,A}
+bxj{m<74:R,A}
+rzm{m>100:R,m<40:A,R}
+rk{x>3488:R,a>1564:rls,R}
+vcv{a>3782:R,R}
+rvk{m>1376:A,rl}
+fb{a<2018:R,a>2279:R,a<2122:nv,A}
+vp{s>2094:A,x<671:A,x>948:A,A}
+fm{a<2858:A,m>2756:R,A}
+kv{a<3302:A,fc}
+ghs{a>3560:R,m>98:A,R}
+xt{s>2503:lgt,s>2132:ztt,zf}
+kkr{a<3485:A,x>2681:R,m>337:R,R}
+fl{a<1006:A,s>465:A,a<1436:A,A}
+xlr{a<2023:A,vp}
+df{a>2219:lmx,x>1080:th,a>2011:vhk,cdz}
+kjf{m<1281:R,x<1139:A,m<1574:R,R}
+skf{s>2407:thd,s>907:ljf,R}
+jqn{x<1351:R,m<532:R,A}
+cpq{m<1330:R,s>3552:R,x<2346:R,R}
+nfs{a<103:R,x<1197:R,A}
+zgm{s>1609:R,a>895:rpm,s>771:fbv,R}
+ft{s<1940:xdk,s<3222:vrc,m>561:sqc,qhp}
+ljn{m>241:rjk,m<150:ghs,zpd}
+dhb{s<2952:gnn,a>2557:vgm,ck}
+hdn{m>2166:gn,a>1569:js,jkj}
+bz{x>3375:R,sm}
+hnc{s>1803:R,m<1413:A,A}
+pd{x<1087:R,m>1058:R,s>3567:A,A}
+nt{a>328:A,a>144:A,R}
+qpc{s<2702:A,R}
+pb{a>1087:A,a<490:A,m>2596:A,R}
+cm{a>2822:A,m>2634:R,a>2546:A,A}
+qqm{s<2546:zqj,m<1543:hsr,m>1669:dk,tf}
+tpd{a<975:tcl,s>2391:cd,m<1245:jxr,tkz}
+qjh{s>1083:R,a>748:R,R}
+pl{a>791:R,a>737:kpg,s<2314:A,R}
+cjs{m>1096:R,A}
+tt{m<591:A,s<3406:R,R}
+hbb{s>2863:nd,tm}
+xx{x>835:tkm,A}
+vt{x<3117:R,A}
+sgg{s<922:knv,s>1186:cgc,m>1211:mnl,dd}
+hhb{a>3090:R,s>2294:R,A}
+db{a>907:R,m>1039:A,xqx}
+jx{x<174:A,s<1687:R,x<345:R,R}
+tk{s<3349:ltb,a>2168:bz,ng}
+in{m>1770:pm,m>644:sz,nc}
+dg{s<1321:R,s<1439:ht,s<1480:pjp,jtm}
+pq{a<182:A,s>2730:A,x<2209:R,A}
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+{x=844,m=1667,a=2059,s=873}
+{x=1279,m=2272,a=1375,s=400}
+{x=304,m=30,a=717,s=462}
+{x=14,m=2114,a=572,s=1561}
+{x=41,m=265,a=17,s=112}
+{x=1221,m=49,a=986,s=1581}
+{x=1611,m=2847,a=497,s=284}
+{x=553,m=1194,a=18,s=471}
+{x=520,m=829,a=874,s=1155}
+{x=2327,m=616,a=201,s=109}
+{x=673,m=1222,a=874,s=307}
+{x=342,m=1172,a=248,s=956}
+{x=1226,m=1501,a=575,s=306}
+{x=46,m=1858,a=73,s=2525}
+{x=40,m=2524,a=1575,s=101}
+{x=320,m=265,a=1267,s=2708}
+{x=890,m=1211,a=67,s=747}
+{x=813,m=1151,a=462,s=445}
+{x=2549,m=341,a=2896,s=1125}
+{x=408,m=4,a=824,s=909}
+{x=25,m=90,a=94,s=75}
+{x=148,m=1724,a=2425,s=333}
+{x=42,m=9,a=585,s=688}
+{x=297,m=155,a=1001,s=1571}
+{x=2636,m=894,a=62,s=1171}
+{x=2637,m=32,a=60,s=2589}
+{x=185,m=2404,a=272,s=686}
+{x=2671,m=1258,a=292,s=115}
+{x=326,m=508,a=1588,s=1915}
+{x=413,m=983,a=615,s=284}
+{x=226,m=2098,a=151,s=288}
+{x=1497,m=2339,a=735,s=1683}
+{x=690,m=2040,a=1403,s=222}
+{x=684,m=789,a=1206,s=905}
+{x=18,m=35,a=1427,s=290}
+{x=678,m=69,a=194,s=979}
+{x=541,m=2546,a=1342,s=69}
+{x=828,m=558,a=2693,s=946}
+{x=577,m=181,a=3819,s=2663}
+{x=284,m=2466,a=397,s=34}
+{x=507,m=969,a=2119,s=2010}
+{x=3027,m=685,a=1904,s=1763}
+{x=781,m=1942,a=1460,s=1737}
+{x=285,m=2008,a=791,s=1821}
+{x=1710,m=1446,a=1415,s=463}
+{x=637,m=843,a=67,s=999}
+{x=679,m=1982,a=869,s=135}
+{x=324,m=1489,a=897,s=1650}
+{x=2654,m=943,a=600,s=2739}
+{x=1150,m=2385,a=451,s=3120}
+{x=2151,m=658,a=2098,s=1254}
+{x=3225,m=686,a=645,s=993}
+{x=91,m=967,a=324,s=2513}
+{x=541,m=349,a=2674,s=1663}
+{x=152,m=859,a=2227,s=575}
+{x=1850,m=372,a=1309,s=52}
+{x=1483,m=1990,a=499,s=68}
+{x=1885,m=2916,a=15,s=874}
+{x=2606,m=2212,a=67,s=492}
+{x=971,m=2447,a=638,s=2378}
+{x=870,m=301,a=1403,s=172}

2023/tests/day12.txt

@@ -0,0 +1,6 @@
+???.### 1,1,3
+.??..??...?##. 1,1,3
+?#?#?#?#?#?#?#? 1,3,1,6
+????.#...#... 4,1,1
+????.######..#####. 1,6,5
+?###???????? 3,2,1

2023/tests/day13.txt

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

2023/tests/day14.txt

@@ -0,0 +1,10 @@
+O....#....
+O.OO#....#
+.....##...
+OO.#O....O
+.O.....O#.
+O.#..O.#.#
+..O..#O..O
+.......O..
+#....###..
+#OO..#....

2023/tests/day15.txt

@@ -0,0 +1 @@
+rn=1,cm-,qp=3,cm=2,qp-,pc=4,ot=9,ab=5,pc-,pc=6,ot=7

2023/tests/day16.txt

@@ -0,0 +1,10 @@
+.|...\....
+|.-.\.....
+.....|-...
+........|.
+..........
+.........\
+..../.\\..
+.-.-/..|..
+.|....-|.\
+..//.|....

2023/tests/day17.txt

@@ -0,0 +1,13 @@
+2413432311323
+3215453535623
+3255245654254
+3446585845452
+4546657867536
+1438598798454
+4457876987766
+3637877979653
+4654967986887
+4564679986453
+1224686865563
+2546548887735
+4322674655533

2023/tests/day18.txt

@@ -0,0 +1,14 @@
+R 6 (#70c710)
+D 5 (#0dc571)
+L 2 (#5713f0)
+D 2 (#d2c081)
+R 2 (#59c680)
+D 2 (#411b91)
+L 5 (#8ceee2)
+U 2 (#caa173)
+L 1 (#1b58a2)
+U 2 (#caa171)
+R 2 (#7807d2)
+U 3 (#a77fa3)
+L 2 (#015232)
+U 2 (#7a21e3)

2023/tests/day19.txt

@@ -0,0 +1,17 @@
+px{a<2006:qkq,m>2090:A,rfg}
+pv{a>1716:R,A}
+lnx{m>1548:A,A}
+rfg{s<537:gd,x>2440:R,A}
+qs{s>3448:A,lnx}
+qkq{x<1416:A,crn}
+crn{x>2662:A,R}
+in{s<1351:px,qqz}
+qqz{s>2770:qs,m<1801:hdj,R}
+gd{a>3333:R,R}
+hdj{m>838:A,pv}
+
+{x=787,m=2655,a=1222,s=2876}
+{x=1679,m=44,a=2067,s=496}
+{x=2036,m=264,a=79,s=2244}
+{x=2461,m=1339,a=466,s=291}
+{x=2127,m=1623,a=2188,s=1013}