Backup local 2022 day 16.

2022/day1.py

@@ -2,19 +2,8 @@
 
 import sys
 
-lines = sys.stdin.readlines()
+blocks = sys.stdin.read().split("\n\n")
+values = sorted(sum(map(int, block.split())) for block in blocks)
 
-# we store the list of calories for each elf in values, and we use the last element
-# of values to accumulate
-values: list[int] = [0]
-for line in lines:
-    if not line.strip():
-        values = values + [0]
-    else:
-        values[-1] += int(line.strip())
-
-# part 1
-print(f"answer 1 is {max(values)}")
-
-# part 2
-print(f"answer 2 is {sum(sorted(values)[-3:])}")
+print(f"answer 1 is {values[-1]}")
+print(f"answer 2 is {sum(values[-3:])}")

2022/day16.py

@@ -6,10 +6,11 @@ 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
+from tqdm import tqdm, trange
 
 
 class Pipe(NamedTuple):
@@ -106,21 +107,128 @@ def part_1(
 def part_2(
     start_pipe: Pipe,
     max_time: int,
-    distances: dict[tuple[Pipe, Pipe], int],
+    pipes: dict[str, Pipe],
     relevant_pipes: FrozenSet[Pipe],
+    distances: dict[tuple[Pipe, Pipe], int],
 ):
-    def compute(pipes_for_me: FrozenSet[Pipe]) -> int:
-        return part_1(start_pipe, max_time, distances, pipes_for_me) + part_1(
-            start_pipe, max_time, distances, relevant_pipes - pipes_for_me
+
+    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}"
         )
 
-    combs = [
-        frozenset(relevant_pipes_1)
-        for r in range(2, len(relevant_pipes) // 2 + 1)
-        for relevant_pipes_1 in itertools.combinations(relevant_pipes, r)
-    ]
+        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():
 
-    return max(compute(comb) for comb in tqdm(combs))
+                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 ===
@@ -159,4 +267,4 @@ relevant_pipes = frozenset(pipe for pipe in pipes.values() if pipe.flow > 0)
 print(part_1(pipes["AA"], 30, distances, relevant_pipes))
 
 # 1707, 2223
-print(part_2(pipes["AA"], 26, distances, relevant_pipes))
+print(part_2(pipes["AA"], 26, pipes, relevant_pipes, distances))

2022/day19.py

@@ -1,17 +1,14 @@
 # -*- encoding: utf-8 -*-
 
-import heapq
-import math
 import sys
-import time
-from collections import defaultdict
-from typing import Literal, TypedDict
+from typing import Literal
 
 import numpy as np
+import parse
 from tqdm import tqdm
 
 Reagent = Literal["ore", "clay", "obsidian", "geode"]
-REAGENTS: tuple[Reagent] = (
+REAGENTS: tuple[Reagent, ...] = (
     "ore",
     "clay",
     "obsidian",
@@ -20,23 +17,6 @@ REAGENTS: tuple[Reagent] = (
 
 IntOfReagent = dict[Reagent, int]
 
-lines = sys.stdin.read().splitlines()
-
-blueprints: list[dict[Reagent, IntOfReagent]] = [
-    {
-        "ore": {"ore": 4},
-        "clay": {"ore": 2},
-        "obsidian": {"ore": 3, "clay": 14},
-        "geode": {"ore": 2, "obsidian": 7},
-    },
-    {
-        "ore": {"ore": 2},
-        "clay": {"ore": 3},
-        "obsidian": {"ore": 3, "clay": 8},
-        "geode": {"ore": 3, "obsidian": 12},
-    },
-]
-
 
 class State:
     robots: IntOfReagent
@@ -64,11 +44,6 @@ class State:
             and self.reagents == other.reagents
         )
 
-    def __lt__(self, other) -> bool:
-        return isinstance(other, State) and tuple(
-            (self.robots[r], self.reagents[r]) for r in REAGENTS
-        ) > tuple((other.robots[r], other.reagents[r]) for r in REAGENTS)
-
     def __hash__(self) -> int:
         return hash(tuple((self.robots[r], self.reagents[r]) for r in REAGENTS))
 
@@ -89,245 +64,45 @@ def dominates(lhs: State, rhs: State):
     )
 
 
-MAX_TIME = 24
-blueprint = blueprints[1]
+lines = sys.stdin.read().splitlines()
 
-# parents: dict[State, tuple[State | None, int]] = {State(): (None, 0)}
-# queue = [(0, State())]
-# visited: set[State] = set()
-# at_time: dict[int, list[State]] = defaultdict(lambda: [])
+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,
+    )
 
-# while queue:
-#     time, state = heapq.heappop(queue)
-#     if state in visited:
-#         continue
-
-#     print(time, state)
-
-#     visited.add(state)
-
-#     at_time[time].append(state)
-
-#     if time > MAX_TIME:
-#         continue
-
-#     if len(queue) % 200 == 0:
-#         print(len(queue), len(visited), time)
-
-#     can_build_any: bool = False
-#     for reagent in REAGENTS:
-#         needed = blueprint[reagent]
-
-#         if any(state.robots[r] == 0 for r in needed):
-#             continue
-
-#         time_to_complete = max(
-#             max(
-#                 math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
-#                 for r in needed
-#             ),
-#             0,
-#         )
-
-#         # if time_to_complete != 0:
-#         #     continue
-
-#         if time + time_to_complete + 1 > MAX_TIME:
-#             continue
-
-#         wait = time_to_complete + 1
-
-#         reagents = {
-#             r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
-#             for r in REAGENTS
-#         }
-
-#         robots = state.robots.copy()
-#         robots[reagent] += 1
-
-#         state_2 = State(reagents=reagents, robots=robots)
-
-#         if state_2 in visited:
-#             continue
-
-#         if any(dominates(state_v, state_2) for state_v in at_time[time + wait]):
-#             continue
-
-#         # print(time + wait)
-#         # if any(dominates(state_3, state_2) for state_3 in at_time[time + wait]):
-#         # print("?")
-#         # continue
-
-#         if state_2 not in parents or parents[state_2][1] > time + wait:
-#             parents[state_2] = (state, time + wait)
-#             heapq.heappush(queue, (time + wait, state_2))
-#             can_build_any = True
-#             at_time[time + wait].append(state_2)
-
-#     if not can_build_any:
-#         state_2 = State(
-#             reagents={
-#                 r: state.reagents[r] + state.robots[r] * (MAX_TIME - time)
-#                 for r in REAGENTS
-#             },
-#             robots=state.robots,
-#         )
-
-#         if state_2 in visited:
-#             continue
-
-#         if state_2 not in parents or parents[state_2][1] > time + wait:
-#             parents[state_2] = (state, MAX_TIME)
-#             heapq.heappush(queue, (MAX_TIME, state_2))
-
-# print(len(visited))
-# print(max(state.reagents["geode"] for state in visited))
-
-# exit()
-
-# while states:
-#     state = states.pop()
-#     processed.append(state)
-
-#     if state.time > MAX_TIME:
-#         continue
-
-#     if len(states) % 100 == 0:
-#         print(len(states), len(processed), min((s.time for s in states), default=1))
-
-#     can_build_any: bool = False
-#     for reagent in REAGENTS:
-#         needed = blueprint[reagent]
-
-#         if any(state.robots[r] == 0 for r in needed):
-#             continue
-
-#         time_to_complete = max(
-#             max(
-#                 math.ceil((needed[r] - state.reagents[r]) / state.robots[r])
-#                 for r in needed
-#             ),
-#             0,
-#         )
-
-#         if state.time + time_to_complete + 1 > MAX_TIME:
-#             continue
-
-#         wait = time_to_complete + 1
-
-#         reagents = {
-#             r: state.reagents[r] + wait * state.robots[r] - needed.get(r, 0)
-#             for r in REAGENTS
-#         }
-
-#         robots = state.robots.copy()
-#         robots[reagent] += 1
-
-#         can_build_any = True
-#         state_2 = State(time=state.time + wait, reagents=reagents, robots=robots)
-#         # print(f"{state} -> {state_2}")
-#         states.add(state_2)
-
-#         if not any(dominates(s2, state_2) for s2 in states):
-#             states.add(state)
-
-#         # print(f"can build {reagent} in {time_to_complete}")
-
-#     if not can_build_any:
-#         states.add(
-#             State(
-#                 time=MAX_TIME + 1,
-#                 reagents={
-#                     r: state.reagents[r] + state.robots[r] * (MAX_TIME - state.time)
-#                     for r in REAGENTS
-#                 },
-#                 robots=state.robots,
-#             )
-#         )
-
-#     if len(states) % 1000 == 0:
-#         print("filtering")
-#         states = {
-#             s1
-#             for s1 in states
-#             if not any(dominates(s2, s1) for s2 in states if s2 is not s1)
-#         }
-
-#     # if len(states) > 4:
-#     #     break
-
-#     # break
-
-# print(len(processed))
-# print(max(state.reagents["geode"] for state in processed))
-
-# exit()
-
-# for t in range(1, 25):
-#     states = set()
-#     for state in state_after_t[t - 1]:
-#         robots_that_can_be_built = [
-#             robot
-#             for robot in REAGENTS
-#             if all(
-#                 state.reagents[reagent] >= blueprint[robot].get(reagent, 0)
-#                 for reagent in REAGENTS
-#             )
-#         ]
-
-#         new_states = set()
-
-#         # new reagents
-#         reagents = {
-#             reagent: state.reagents[reagent] + state.robots[reagent]
-#             for reagent in REAGENTS
-#         }
-
-#         # if we can build anything, there is no point in waiting
-#         if len(robots_that_can_be_built) != len(REAGENTS):
-#             new_states.add(State(robots=state.robots, reagents=reagents))
-
-#         for robot in robots_that_can_be_built:
-#             robots = state.robots.copy()
-#             robots[robot] += 1
-#             reagents = {
-#                 reagent: state.reagents[reagent]
-#                 + state.robots[reagent]
-#                 - blueprint[robot].get(reagent, 0)
-#                 for reagent in REAGENTS
-#             }
-#             new_states.add(State(robots=robots, reagents=reagents))
-
-#         new_states = [
-#             s1
-#             for s1 in new_states
-#             if not any(s1 is not s2 and dominates(s2, s1) for s2 in new_states)
-#         ]
-
-#         states = {
-#             s1 for s1 in states if not any(dominates(s2, s1) for s2 in new_states)
-#         }
-#         states.update(new_states)
-
-#     state_after_t[t] = states
-
-# exit()
+    blueprints.append(
+        {
+            "ore": {"ore": r[1]},
+            "clay": {"ore": r[2]},
+            "obsidian": {"ore": r[3], "clay": r[4]},
+            "geode": {"ore": r[5], "obsidian": r[6]},
+        }
+    )
 
 
-MAX_TIME = 24
-blueprint = blueprints[0]
+def run(blueprint: dict[Reagent, dict[Reagent, int]], max_time: int) -> int:
 
-state_after_t: dict[int, list[State]] = {0: [State()]}
+    # 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
+    # obsidian ones
+    maximums = {
+        name: max(blueprint[r].get(name, 0) for r in REAGENTS) for name in REAGENTS
+    }
 
-for t in range(1, 25):
-    print(t, len(state_after_t[t - 1]))
+    state_after_t: dict[int, set[State]] = {0: [State()]}
 
-    bests_for_robots: dict[tuple[int, ...], list[State]] = {}
-    bests_for_reagents: dict[tuple[int, ...], list[State]] = {}
+    for t in range(1, max_time + 1):
 
-    state_after_t[t] = []
-
-    t1 = time.time()
+        # list of new states at the end of step t that we are going to prune later
+        states_for_t: set[State] = set()
 
         for state in state_after_t[t - 1]:
             robots_that_can_be_built = [
@@ -339,17 +114,24 @@ for t in range(1, 25):
                 )
             ]
 
-        # print(t, robots_that_can_be_built)
-        new_states: set[State] = set()
-
-        # new reagents
+            states_for_t.add(
+                State(
+                    robots=state.robots,
                     reagents={
                         reagent: state.reagents[reagent] + state.robots[reagent]
                         for reagent in REAGENTS
-        }
+                    },
+                )
+            )
 
-        # if we can build anything, there is no point in waiting
-        new_states.add(State(robots=state.robots, reagents=reagents))
+            if "geode" in robots_that_can_be_built:
+                robots_that_can_be_built = ["geode"]
+            else:
+                robots_that_can_be_built = [
+                    robot
+                    for robot in robots_that_can_be_built
+                    if state.robots[robot] < maximums[robot]
+                ]
 
             for robot in robots_that_can_be_built:
                 robots = state.robots.copy()
@@ -360,128 +142,45 @@ for t in range(1, 25):
                     - blueprint[robot].get(reagent, 0)
                     for reagent in REAGENTS
                 }
-            new_states.add(State(robots=robots, reagents=reagents))
-
-        for s1 in new_states:
-            r1 = tuple(s1.robots[r] for r in REAGENTS)
-            if r1 not in bests_for_robots:
-                bests_for_robots[r1] = [s1]
-            else:
-                is_dominated = False
-                for s2 in bests_for_robots[r1]:
-                    if all(s2.reagents[r] >= s1.reagents[r] for r in REAGENTS):
-                        is_dominated = True
-                        break
-                if not is_dominated:
-                    bests_for_robots[r1].append(s1)
-
-            r2 = tuple(s1.reagents[r] for r in REAGENTS)
-            if r2 not in bests_for_reagents:
-                bests_for_reagents[r2] = [s1]
-            else:
-                is_dominated = False
-                for s2 in bests_for_reagents[r2]:
-                    if all(s2.robots[r] >= s1.robots[r] for r in REAGENTS):
-                        is_dominated = True
-                        break
-                if not is_dominated:
-                    bests_for_reagents[r2].append(s1)
-        # state_after_t[t].extend(new_states)
-
-    t2 = time.time()
-
-    for bests in bests_for_robots.values():
-        dominated = [False for _ in range(len(bests))]
-        for i_s1, s1 in enumerate(bests):
-            if dominated[i_s1]:
-                continue
-            for i_s2, s2 in enumerate(bests[i_s1 + 1 :], start=i_s1 + 1):
-                if dominated[i_s2]:
-                    continue
-                if all(s1.reagents[r] >= s2.reagents[r] for r in REAGENTS):
-                    dominated[i_s2] = True
-        state_after_t[t].extend(
-            s1 for i_s1, s1 in enumerate(bests) if not dominated[i_s1]
-        )
-    for bests in bests_for_reagents.values():
-        dominated = [False for _ in range(len(bests))]
-        for i_s1, s1 in enumerate(bests):
-            if dominated[i_s1]:
-                continue
-            for i_s2, s2 in enumerate(bests[i_s1 + 1 :], start=i_s1 + 1):
-                if dominated[i_s2]:
-                    continue
-                if all(s1.robots[r] >= s2.robots[r] for r in REAGENTS):
-                    dominated[i_s2] = True
-        state_after_t[t].extend(
-            s1 for i_s1, s1 in enumerate(bests) if not dominated[i_s1]
-        )
-
-    t3 = time.time()
+                states_for_t.add(State(robots=robots, reagents=reagents))
 
+        # use numpy to switch computation of dominated states -> store each state
+        # as a 8 array and use numpy broadcasting to find dominated states
+        states_after = np.asarray(list(states_for_t))
         np_states = np.array(
             [
-            [state.robots[r] for r in REAGENTS] + [state.reagents[r] for r in REAGENTS]
-            for state in state_after_t[t]
+                [state.robots[r] for r in REAGENTS]
+                + [state.reagents[r] for r in REAGENTS]
+                for state in states_after
             ]
         )
-    dominated = np.zeros(len(np_states), dtype=bool)
 
-    t4 = time.time()
+        to_keep = []
+        while len(np_states) > 0:
+            first_dom = (np_states[1:] >= np_states[0]).all(axis=1).any()
 
-    # c = (np_states[None, :, :] <= np_states[:, None, :]).all(axis=-1)
-    # c[np.arange(len(np_states)), np.arange(len(np_states))] = False
-    # dominated = c.any(axis=0)
+            if first_dom:
+                np_states = np_states[1:]
+            else:
+                to_keep.append(np_states[0])
+                np_states = np_states[1:][~(np_states[1:] <= np_states[0]).all(axis=1)]
 
-    for i in range(len(np_states)):
-        if dominated[i]:
-            continue
-        dominated[i] = not (np_states[i + 1 :] <= np_states[i]).any(axis=1)
-
-        dominated[i + 1 :] = (np_states[i + 1 :] <= np_states[i]).all(axis=1)
-
-    t5 = time.time()
-
-    state_after_t[t] = list(np.array(state_after_t[t])[~dominated])
-
-    t6 = time.time()
-
-    print(
-        "->",
-        t,
-        len(state_after_t[t]),
-        dominated.sum(),
-        t2 - t1,
-        t3 - t2,
-        t4 - t3,
-        t5 - t4,
-        t6 - t5,
+        state_after_t[t] = {
+            State(
+                robots=dict(zip(REAGENTS, row[:4])),
+                reagents=dict(zip(REAGENTS, row[4:])),
             )
+            for row in to_keep
+        }
 
-    # print("->", len(state_after_t[t]))
+    return max(state.reagents["geode"] for state in state_after_t[max_time])
 
-    # dominated = [False for _ in range(len(state_after_t[t]))]
-    # keep = set()
-    # for i_s1, s1 in enumerate(tqdm(state_after_t[t])):
-    #     if dominated[i_s1]:
-    #         continue
-    #     for i_s2, s2 in enumerate(state_after_t[t][i_s1 + 1 :], start=i_s1 + 1):
-    #         if dominated[i_s2]:
-    #             continue
 
-    #         if dominates(s1, s2):
-    #             dominated[i_s2] = True
-    #         elif dominates(s2, s1):
-    #             dominated[i_s1] = True
-    #             break
+answer_1 = sum(
+    (i_blueprint + 1) * run(blueprint, 24)
+    for i_blueprint, blueprint in enumerate(blueprints)
+)
+print(f"answer 1 is {answer_1}")
 
-    #     if not dominated[i_s1]:
-    #         keep.add(s1)
-
-    # state_after_t[t] = list(keep)
-
-    # print(len(state_after_t[t]))
-    # print(sum(dominated))
-    # break
-
-print(max(state.reagents["geode"] for state in state_after_t[24]))
+answer_2 = run(blueprints[0], 32) * run(blueprints[1], 32) * run(blueprints[2], 32)
+print(f"answer 2 is {answer_2}")

2022/day2.py

@@ -2,19 +2,6 @@
 
 import sys
 
-lines = sys.stdin.readlines()
-
-# the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
-# modulo-3 arithmetic
-#
-# in modulo-3 arithmetic, the winning move is 1 + the opponent move (e.g., winning move
-# if opponent plays 0 is 1, or 0 if opponent plays 2 (0 = (2 + 1 % 3)))
-#
-
-# we read the lines in a Nx2 in array with value 0/1/2 instead of A/B/C or X/Y/Z for
-# easier manipulation
-values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
-
 
 def score_1(ux: int, vx: int) -> int:
     # here ux and vx are both moves: 0 = rock, 1 = paper, 2 = scissor
@@ -48,6 +35,19 @@ def score_2(ux: int, vx: int) -> int:
     return (ux + vx - 1) % 3 + 1 + vx * 3
 
 
+lines = sys.stdin.readlines()
+
+# the solution relies on replacing rock / paper / scissor by values 0 / 1 / 2 and using
+# modulo-3 arithmetic
+#
+# in modulo-3 arithmetic, the winning move is 1 + the opponent move (e.g., winning move
+# if opponent plays 0 is 1, or 0 if opponent plays 2 (0 = (2 + 1 % 3)))
+#
+
+# we read the lines in a Nx2 in array with value 0/1/2 instead of A/B/C or X/Y/Z for
+# easier manipulation
+values = [(ord(row[0]) - ord("A"), ord(row[2]) - ord("X")) for row in lines]
+
 # part 1 - 13526
 print(f"score 1 is {sum(score_1(*v) for v in values)}")
 

2022/day20.py

@@ -0,0 +1,77 @@
+# -*- encoding: utf-8 -*-
+
+from __future__ import annotations
+
+import sys
+
+
+class Number:
+    current: int
+    value: int
+
+    def __init__(self, value: int):
+        self.current = 0
+        self.value = value
+
+    def __str__(self):
+        return str(self.value)
+
+    def __repr__(self):
+        return str(self)
+
+
+def decrypt(numbers: list[Number], key: int, rounds: int) -> int:
+
+    numbers = numbers.copy()
+    original = numbers.copy()
+
+    for index, number in enumerate(numbers):
+        number.current = index
+
+    for _ in range(rounds):
+        for number in original:
+            index = number.current
+            offset = (number.value * key) % (len(numbers) - 1)
+            target = index + offset
+
+            # need to wrap
+            if target >= len(numbers):
+                target = offset - (len(numbers) - index) + 1
+
+                for number_2 in numbers[target:index]:
+                    number_2.current += 1
+
+                numbers = (
+                    numbers[:target]
+                    + [number]
+                    + numbers[target:index]
+                    + numbers[index + 1 :]
+                )
+            else:
+                for number_2 in numbers[index : target + 1]:
+                    number_2.current -= 1
+
+                numbers = (
+                    numbers[:index]
+                    + numbers[index + 1 : target + 1]
+                    + [number]
+                    + numbers[target + 1 :]
+                )
+            number.current = target
+
+    index_of_0 = next(
+        filter(lambda index: numbers[index].value == 0, range(len(numbers)))
+    )
+    return sum(
+        numbers[(index_of_0 + offset) % len(numbers)].value * key
+        for offset in (1000, 2000, 3000)
+    )
+
+
+numbers = [Number(int(x)) for i, x in enumerate(sys.stdin.readlines())]
+
+answer_1 = decrypt(numbers, 1, 1)
+print(f"answer 1 is {answer_1}")
+
+answer_2 = decrypt(numbers, 811589153, 10)
+print(f"answer 2 is {answer_2}")

2022/day21.py

@@ -0,0 +1,109 @@
+# -*- encoding: utf-8 -*-
+
+import operator
+import sys
+from typing import Callable
+
+
+def compute(monkeys: dict[str, int | tuple[str, str, str]], monkey: str) -> int:
+    value = monkeys[monkey]
+    if isinstance(value, int):
+        return value
+    else:
+        op: dict[str, Callable[[int, int], int]] = {
+            "+": operator.add,
+            "-": operator.sub,
+            "*": operator.mul,
+            "/": operator.floordiv,
+        }
+        value = op[value[1]](compute(monkeys, value[0]), compute(monkeys, value[2]))
+        monkeys[monkey] = value
+        return value
+
+
+def invert(
+    monkeys: dict[str, int | tuple[str, str, str]], monkey: str, target: int
+) -> dict[str, int | tuple[str, str, str]]:
+    """
+    Revert the given mapping from monkey name to value or operation such that
+    the value from 'monkey' is computable by inverting operation until the root is
+    found.
+
+    Args:
+        monkeys: Dictionary of monkeys, that will be updated and returned.
+        monkey: Name of the monkey to start from.
+        target: Target value to set for the monkey that depends on root.
+
+    Returns:
+        The given dictionary of monkeys.
+    """
+
+    monkeys = monkeys.copy()
+
+    depends: dict[str, str] = {}
+    for m, v in monkeys.items():
+        if isinstance(v, int):
+            continue
+
+        op1, _, op2 = v
+
+        assert op1 not in depends
+        assert op2 not in depends
+        depends[op1] = m
+        depends[op2] = m
+
+    invert_op = {"+": "-", "-": "+", "*": "/", "/": "*"}
+
+    current = monkey
+    while True:
+        dep = depends[current]
+
+        if dep == "root":
+            monkeys[current] = target
+            break
+
+        val = monkeys[dep]
+        assert not isinstance(val, int)
+
+        op1, ope, op2 = val
+
+        if op1 == current:
+            monkeys[current] = (dep, invert_op[ope], op2)
+        elif ope in ("+", "*"):
+            monkeys[current] = (dep, invert_op[ope], op1)
+        else:
+            monkeys[current] = (op1, ope, dep)
+
+        current = dep
+
+    return monkeys
+
+
+lines = sys.stdin.read().splitlines()
+
+monkeys: dict[str, int | tuple[str, str, str]] = {}
+
+op_monkeys: set[str] = set()
+
+for line in lines:
+    parts = line.split(":")
+    name = parts[0].strip()
+
+    try:
+        value = int(parts[1].strip())
+        monkeys[name] = value
+    except ValueError:
+        op1, ope, op2 = parts[1].strip().split()
+        monkeys[name] = (op1, ope, op2)
+
+        op_monkeys.add(name)
+
+
+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
+p1, _, p2 = monkeys["root"]  # type: ignore
+answer_2 = compute(invert(monkeys, "humn", compute(monkeys.copy(), p2)), "humn")
+print(f"answer 2 is {answer_2}")

2022/day22.py

@@ -0,0 +1,226 @@
+# -*- 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

@@ -0,0 +1,105 @@
+# -*- encoding: utf-8 -*-
+
+import itertools
+import sys
+from collections import defaultdict
+
+Directions = list[
+    tuple[
+        str, tuple[int, int], tuple[tuple[int, int], tuple[int, int], tuple[int, int]]
+    ]
+]
+
+# (Y, X)
+DIRECTIONS: Directions = [
+    ("N", (-1, 0), ((-1, -1), (-1, 0), (-1, 1))),
+    ("S", (1, 0), ((1, -1), (1, 0), (1, 1))),
+    ("W", (0, -1), ((-1, -1), (0, -1), (1, -1))),
+    ("E", (0, 1), ((-1, 1), (0, 1), (1, 1))),
+]
+
+
+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}
+    return min(ys), min(xs), max(ys), max(xs)
+
+
+def print_positions(positions: set[tuple[int, int]]):
+    min_y, min_x, max_y, max_x = min_max_yx(positions)
+    print(
+        "\n".join(
+            "".join(
+                "#" if (y, x) in positions else "." for x in range(min_x - 1, max_x + 2)
+            )
+            for y in range(min_y - 1, max_y + 2)
+        )
+    )
+
+
+def round(
+    positions: set[tuple[int, int]],
+    directions: Directions,
+):
+    to_move: dict[tuple[int, int], list[tuple[int, int]]] = defaultdict(lambda: [])
+    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))
+            if (dy, dx) != (0, 0)
+        }
+
+        if not any(elves.values()):
+            to_move[y, x].append((y, x))
+            continue
+
+        found: str | None = None
+        for d, (dy, dx), d_yx_check in directions:
+            if not any(elves[dy, dx] for dy, dx in d_yx_check):
+                found = d
+                to_move[y + dy, x + dx].append((y, x))
+                break
+        if found is None:
+            to_move[y, x].append((y, x))
+
+    positions.clear()
+    for ty, tx in to_move:
+        if len(to_move[ty, tx]) > 1:
+            positions.update(to_move[ty, tx])
+        else:
+            positions.add((ty, tx))
+
+    directions.append(directions.pop(0))
+
+
+POSITIONS = {
+    (i, j)
+    for i, row in enumerate(sys.stdin.read().splitlines())
+    for j, col in enumerate(row)
+    if col == "#"
+}
+
+# === part 1 ===
+
+p1, d1 = POSITIONS.copy(), DIRECTIONS.copy()
+for r in range(10):
+    round(p1, d1)
+
+min_y, min_x, max_y, max_x = min_max_yx(p1)
+answer_1 = sum(
+    (y, x) not in p1 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 ===
+
+p2, d2 = POSITIONS.copy(), DIRECTIONS.copy()
+answer_2 = 0
+while True:
+    answer_2 += 1
+    backup = p2.copy()
+    round(p2, d2)
+
+    if backup == p2:
+        break
+
+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

@@ -20,6 +20,6 @@ n_per_group = 3
 part2 = sum(
     priorities[c]
     for i in range(0, len(lines), n_per_group)
-    for c in set.intersection(*map(set, (lines[i : i + n_per_group])))
+    for c in set(lines[i]).intersection(*lines[i + 1 : i + n_per_group])
 )
 print(f"score 2 is {part2}")

2022/day6.py

@@ -2,8 +2,6 @@
 
 import sys
 
-data = sys.stdin.read().strip()
-
 
 def index_of_first_n_differents(data: str, n: int) -> int:
     for i in range(len(data)):
@@ -12,5 +10,8 @@ def index_of_first_n_differents(data: str, n: int) -> int:
     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/inputs/day19.txt

@@ -0,0 +1,30 @@
+Blueprint 1: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 12 clay. Each geode robot costs 4 ore and 19 obsidian.
+Blueprint 2: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 11 clay. Each geode robot costs 2 ore and 7 obsidian.
+Blueprint 3: Each ore robot costs 3 ore. Each clay robot costs 3 ore. Each obsidian robot costs 2 ore and 13 clay. Each geode robot costs 3 ore and 12 obsidian.
+Blueprint 4: Each ore robot costs 2 ore. Each clay robot costs 3 ore. Each obsidian robot costs 3 ore and 18 clay. Each geode robot costs 2 ore and 19 obsidian.
+Blueprint 5: Each ore robot costs 2 ore. Each clay robot costs 4 ore. Each obsidian robot costs 3 ore and 19 clay. Each geode robot costs 4 ore and 13 obsidian.
+Blueprint 6: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 3 ore and 7 clay. Each geode robot costs 4 ore and 11 obsidian.
+Blueprint 7: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 15 clay. Each geode robot costs 4 ore and 17 obsidian.
+Blueprint 8: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 13 clay. Each geode robot costs 3 ore and 7 obsidian.
+Blueprint 9: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 12 clay. Each geode robot costs 3 ore and 15 obsidian.
+Blueprint 10: Each ore robot costs 4 ore. Each clay robot costs 3 ore. Each obsidian robot costs 4 ore and 18 clay. Each geode robot costs 4 ore and 11 obsidian.
+Blueprint 11: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 8 clay. Each geode robot costs 2 ore and 15 obsidian.
+Blueprint 12: Each ore robot costs 4 ore. Each clay robot costs 3 ore. Each obsidian robot costs 4 ore and 8 clay. Each geode robot costs 3 ore and 7 obsidian.
+Blueprint 13: Each ore robot costs 4 ore. Each clay robot costs 3 ore. Each obsidian robot costs 3 ore and 10 clay. Each geode robot costs 2 ore and 10 obsidian.
+Blueprint 14: Each ore robot costs 2 ore. Each clay robot costs 3 ore. Each obsidian robot costs 3 ore and 13 clay. Each geode robot costs 2 ore and 20 obsidian.
+Blueprint 15: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 3 ore and 19 clay. Each geode robot costs 3 ore and 8 obsidian.
+Blueprint 16: Each ore robot costs 3 ore. Each clay robot costs 3 ore. Each obsidian robot costs 2 ore and 16 clay. Each geode robot costs 2 ore and 18 obsidian.
+Blueprint 17: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 9 clay. Each geode robot costs 3 ore and 19 obsidian.
+Blueprint 18: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 11 clay. Each geode robot costs 4 ore and 8 obsidian.
+Blueprint 19: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 3 ore and 12 clay. Each geode robot costs 3 ore and 17 obsidian.
+Blueprint 20: Each ore robot costs 3 ore. Each clay robot costs 3 ore. Each obsidian robot costs 2 ore and 14 clay. Each geode robot costs 3 ore and 17 obsidian.
+Blueprint 21: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 15 clay. Each geode robot costs 3 ore and 16 obsidian.
+Blueprint 22: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 16 clay. Each geode robot costs 4 ore and 16 obsidian.
+Blueprint 23: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 19 clay. Each geode robot costs 4 ore and 11 obsidian.
+Blueprint 24: Each ore robot costs 4 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 18 clay. Each geode robot costs 4 ore and 9 obsidian.
+Blueprint 25: Each ore robot costs 4 ore. Each clay robot costs 3 ore. Each obsidian robot costs 2 ore and 17 clay. Each geode robot costs 3 ore and 16 obsidian.
+Blueprint 26: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 2 ore and 20 clay. Each geode robot costs 4 ore and 7 obsidian.
+Blueprint 27: Each ore robot costs 2 ore. Each clay robot costs 2 ore. Each obsidian robot costs 2 ore and 8 clay. Each geode robot costs 2 ore and 14 obsidian.
+Blueprint 28: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 3 ore and 20 clay. Each geode robot costs 3 ore and 14 obsidian.
+Blueprint 29: Each ore robot costs 4 ore. Each clay robot costs 3 ore. Each obsidian robot costs 4 ore and 20 clay. Each geode robot costs 4 ore and 8 obsidian.
+Blueprint 30: Each ore robot costs 3 ore. Each clay robot costs 4 ore. Each obsidian robot costs 4 ore and 18 clay. Each geode robot costs 3 ore and 13 obsidian.

2022/inputs/day23.txt

@@ -0,0 +1,70 @@
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2022/inputs/day24.txt

@@ -0,0 +1,22 @@
+#.######################################################################################################################################################
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+######################################################################################################################################################.#

2022/inputs/day25.txt

@@ -0,0 +1,124 @@
+21-0==1=-0
+102211-220011-----
+1=2=111=10=-
+12-2=022=2
+1=--=11
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+221002==2102-2=1
+2012=121-22
+110222002=01
+212102-1=1=-211
+210-=12
+1=-1-0101=1-12
+12--21=1
+10=-12
+100-122211=--2=
+101102001
+11011=-
+211-0=-=0
+1-2=01-1=
+1-022-=00000
+2==-0==2=--00=
+10=--2000==
+1---=--1-110-02
+11-012
+2==-2210-0
+212
+22-=-12111
+2--=
+2=2=12-100
+10-12===0-
+1==0=0=22012201
+211-1--22

2022/tests/day1.txt

@@ -0,0 +1,14 @@
+1000
+2000
+3000
+
+4000
+
+5000
+6000
+
+7000
+8000
+9000
+
+10000

2022/tests/day10.txt

@@ -0,0 +1,146 @@
+addx 15
+addx -11
+addx 6
+addx -3
+addx 5
+addx -1
+addx -8
+addx 13
+addx 4
+noop
+addx -1
+addx 5
+addx -1
+addx 5
+addx -1
+addx 5
+addx -1
+addx 5
+addx -1
+addx -35
+addx 1
+addx 24
+addx -19
+addx 1
+addx 16
+addx -11
+noop
+noop
+addx 21
+addx -15
+noop
+noop
+addx -3
+addx 9
+addx 1
+addx -3
+addx 8
+addx 1
+addx 5
+noop
+noop
+noop
+noop
+noop
+addx -36
+noop
+addx 1
+addx 7
+noop
+noop
+noop
+addx 2
+addx 6
+noop
+noop
+noop
+noop
+noop
+addx 1
+noop
+noop
+addx 7
+addx 1
+noop
+addx -13
+addx 13
+addx 7
+noop
+addx 1
+addx -33
+noop
+noop
+noop
+addx 2
+noop
+noop
+noop
+addx 8
+noop
+addx -1
+addx 2
+addx 1
+noop
+addx 17
+addx -9
+addx 1
+addx 1
+addx -3
+addx 11
+noop
+noop
+addx 1
+noop
+addx 1
+noop
+noop
+addx -13
+addx -19
+addx 1
+addx 3
+addx 26
+addx -30
+addx 12
+addx -1
+addx 3
+addx 1
+noop
+noop
+noop
+addx -9
+addx 18
+addx 1
+addx 2
+noop
+noop
+addx 9
+noop
+noop
+noop
+addx -1
+addx 2
+addx -37
+addx 1
+addx 3
+noop
+addx 15
+addx -21
+addx 22
+addx -6
+addx 1
+noop
+addx 2
+addx 1
+noop
+addx -10
+noop
+noop
+addx 20
+addx 1
+addx 2
+addx 2
+addx -6
+addx -11
+noop
+noop
+noop

2022/tests/day11.txt

@@ -0,0 +1,27 @@
+Monkey 0:
+  Starting items: 79, 98
+  Operation: new = old * 19
+  Test: divisible by 23
+    If true: throw to monkey 2
+    If false: throw to monkey 3
+
+Monkey 1:
+  Starting items: 54, 65, 75, 74
+  Operation: new = old + 6
+  Test: divisible by 19
+    If true: throw to monkey 2
+    If false: throw to monkey 0
+
+Monkey 2:
+  Starting items: 79, 60, 97
+  Operation: new = old * old
+  Test: divisible by 13
+    If true: throw to monkey 1
+    If false: throw to monkey 3
+
+Monkey 3:
+  Starting items: 74
+  Operation: new = old + 3
+  Test: divisible by 17
+    If true: throw to monkey 0
+    If false: throw to monkey 1

2022/tests/day12.txt

@@ -0,0 +1,5 @@
+Sabqponm
+abcryxxl
+accszExk
+acctuvwj
+abdefghi

2022/tests/day13.txt

@@ -0,0 +1,23 @@
+[1,1,3,1,1]
+[1,1,5,1,1]
+
+[[1],[2,3,4]]
+[[1],4]
+
+[9]
+[[8,7,6]]
+
+[[4,4],4,4]
+[[4,4],4,4,4]
+
+[7,7,7,7]
+[7,7,7]
+
+[]
+[3]
+
+[[[]]]
+[[]]
+
+[1,[2,[3,[4,[5,6,7]]]],8,9]
+[1,[2,[3,[4,[5,6,0]]]],8,9]

2022/tests/day14.txt

@@ -0,0 +1,2 @@
+498,4 -> 498,6 -> 496,6
+503,4 -> 502,4 -> 502,9 -> 494,9

2022/tests/day15.txt

@@ -0,0 +1,14 @@
+Sensor at x=2, y=18: closest beacon is at x=-2, y=15
+Sensor at x=9, y=16: closest beacon is at x=10, y=16
+Sensor at x=13, y=2: closest beacon is at x=15, y=3
+Sensor at x=12, y=14: closest beacon is at x=10, y=16
+Sensor at x=10, y=20: closest beacon is at x=10, y=16
+Sensor at x=14, y=17: closest beacon is at x=10, y=16
+Sensor at x=8, y=7: closest beacon is at x=2, y=10
+Sensor at x=2, y=0: closest beacon is at x=2, y=10
+Sensor at x=0, y=11: closest beacon is at x=2, y=10
+Sensor at x=20, y=14: closest beacon is at x=25, y=17
+Sensor at x=17, y=20: closest beacon is at x=21, y=22
+Sensor at x=16, y=7: closest beacon is at x=15, y=3
+Sensor at x=14, y=3: closest beacon is at x=15, y=3
+Sensor at x=20, y=1: closest beacon is at x=15, y=3

2022/tests/day16.txt

@@ -0,0 +1,10 @@
+Valve AA has flow rate=0; tunnels lead to valves DD, II, BB
+Valve BB has flow rate=13; tunnels lead to valves CC, AA
+Valve CC has flow rate=2; tunnels lead to valves DD, BB
+Valve DD has flow rate=20; tunnels lead to valves CC, AA, EE
+Valve EE has flow rate=3; tunnels lead to valves FF, DD
+Valve FF has flow rate=0; tunnels lead to valves EE, GG
+Valve GG has flow rate=0; tunnels lead to valves FF, HH
+Valve HH has flow rate=22; tunnel leads to valve GG
+Valve II has flow rate=0; tunnels lead to valves AA, JJ
+Valve JJ has flow rate=21; tunnel leads to valve II

2022/tests/day2.txt

@@ -0,0 +1,3 @@
+A Y
+B X
+C Z

2022/tests/day20.txt

@@ -0,0 +1,7 @@
+1
+2
+-3
+3
+-2
+0
+4

2022/tests/day21.txt

@@ -0,0 +1,15 @@
+root: pppw + sjmn
+dbpl: 5
+cczh: sllz + lgvd
+zczc: 2
+ptdq: humn - dvpt
+dvpt: 3
+lfqf: 4
+humn: 5
+ljgn: 2
+sjmn: drzm * dbpl
+sllz: 4
+pppw: cczh / lfqf
+lgvd: ljgn * ptdq
+drzm: hmdt - zczc
+hmdt: 32

2022/tests/day22.txt

@@ -0,0 +1,14 @@
+        ...#
+        .#..
+        #...
+        ....
+...#.......#
+........#...
+..#....#....
+..........#.
+        ...#....
+        .....#..
+        .#......
+        ......#.
+
+10R5L5R10L4R5L5

2022/tests/day23.txt

@@ -0,0 +1,7 @@
+....#..
+..###.#
+#...#.#
+.#...##
+#.###..
+##.#.##
+.#..#..

2022/tests/day24.txt

@@ -0,0 +1,6 @@
+#.######
+#>>.<^<#
+#.<..<<#
+#>v.><>#
+#<^v^^>#
+######.#

2022/tests/day25.txt

@@ -0,0 +1,13 @@
+1=-0-2
+12111
+2=0=
+21
+2=01
+111
+20012
+112
+1=-1=
+1-12
+12
+1=
+122

2022/tests/day3.txt

@@ -0,0 +1,6 @@
+vJrwpWtwJgWrhcsFMMfFFhFp
+jqHRNqRjqzjGDLGLrsFMfFZSrLrFZsSL
+PmmdzqPrVvPwwTWBwg
+wMqvLMZHhHMvwLHjbvcjnnSBnvTQFn
+ttgJtRGJQctTZtZT
+CrZsJsPPZsGzwwsLwLmpwMDw

2022/tests/day4.txt

@@ -0,0 +1,6 @@
+2-4,6-8
+2-3,4-5
+5-7,7-9
+2-8,3-7
+6-6,4-6
+2-6,4-8

2022/tests/day5.txt

@@ -0,0 +1,9 @@
+    [D]
+[N] [C]
+[Z] [M] [P]
+ 1   2   3
+
+move 1 from 2 to 1
+move 3 from 1 to 3
+move 2 from 2 to 1
+move 1 from 1 to 2

2022/tests/day6.txt

@@ -0,0 +1 @@
+mjqjpqmgbljsphdztnvjfqwrcgsmlb

2022/tests/day7.txt

@@ -0,0 +1,23 @@
+$ cd /
+$ ls
+dir a
+14848514 b.txt
+8504156 c.dat
+dir d
+$ cd a
+$ ls
+dir e
+29116 f
+2557 g
+62596 h.lst
+$ cd e
+$ ls
+584 i
+$ cd ..
+$ cd ..
+$ cd d
+$ ls
+4060174 j
+8033020 d.log
+5626152 d.ext
+7214296 k

2022/tests/day8.txt

@@ -0,0 +1,5 @@
+30373
+25512
+65332
+33549
+35390

2022/tests/day9.txt

@@ -0,0 +1,8 @@
+R 4
+U 4
+L 3
+D 1
+R 4
+D 1
+L 5
+R 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}")

2023/day6.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/day7.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/day8.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/day9.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/inputs/day2.txt

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

2023/inputs/day3.txt

@@ -0,0 +1,140 @@
+......124..................418.......587......770...........672.................564............................438..........512......653....
+665/...*......................*599.....*.983......794*..140..*...........@..963*....................445........*......*.........709.....*...
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+........................*.....@...............%........$............+.........167..................408............................$..*......
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+............/.....*350....................400.502...............$...........168.......855.635....................258.......794...+.....846..
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2023/inputs/day5.txt

@@ -0,0 +1,250 @@
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2023/tests/day1.txt

@@ -0,0 +1,7 @@
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