albertein

elves = []
current_elf = 0
with open('input.txt', encoding="utf-8") as file:
  for line in file.readlines():
    line = line.strip()
    if line == '':
      elves.append(current_elf)
      current_elf = 0
      continue
    current_elf += int(line)

albertein

elves = []
current_elf = 0
with open('input.txt', encoding="utf-8") as file:
  for line in file.readlines():
    line = line.strip()
    if line == '':
      elves.append(current_elf)
      current_elf = 0
      continue
    current_elf += int(line)

albertein

from copy import deepcopy

class Node:
  def __init__(self):
    self.left = None
    self.right = None
    self.top = None

  def magnitude(self):
    m_left = 0

albertein

class Node:
  def __init__(self):
    self.left = None
    self.right = None
    self.top = None

  def magnitude(self):
    m_left = 0
    m_right = 0
    if type(self.left) == int:

albertein

def simulate(dx, dy, x1, x2, y1, y2):
  x, y = (0, 0)
  initial_dx, initial_dy = dx, dy
  while True:
    x += dx
    y += dy
    dy -= 1
    if dx < 0:
      dx += 1
    elif dx > 0:

albertein

def simulate(dx, dy, x1, x2, y1, y2):
  x, y = (0, 0)
  hit = False
  max_y = -999999
  while True:
    x += dx
    y += dy
    dy -= 1
    if dx < 0:
      dx += 1

albertein

TAG_LITERAL = 4
TAG_SUM = 0
TAG_PRODUCT = 1
TAG_MIN = 2
TAG_MAX = 3
TAG_GT = 5
TAG_LT = 6
TAG_EQ = 7
TYPE_BITS = 0

albertein

TAG_LITERAL = 4
TYPE_BITS = 0

class Stream:
  def __init__(self, data):
    self.data = data
    self.ready_carry = 0
    self.carry_size = 0
    self.carry = 0
    self.nibbles = self._init_read()

albertein

import heapq

def get(x, y, cave):
  overflow = y // len(cave)
  y = y % len(cave)
  overflow += x // len(cave[y])
  x = x % len(cave[y])
  value = cave[y][x]
  value += overflow
  value %= 9

albertein

import heapq

def adjacent(x, y, cave):
  deltas = [(-1, 0), (0, -1), (1, 0), (0, 1)]
  for delta_x, delta_y in deltas:
    candidate_x = x + delta_x
    candidate_y = y + delta_y
    if (candidate_y >= 0 and candidate_y < len(cave) and
        candidate_x >= 0 and candidate_x < len(cave[candidate_y])):
      yield candidate_x, candidate_y