43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
from numpy.typing import ArrayLike
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import browser_cookie3
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import datetime
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import numpy as np
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import re
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import requests
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today = datetime.date.today()
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day = today.day
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year = today.year
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def download_input(day: int = day):
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filename = f'input/{day:02}'
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r = requests.get(f"https://adventofcode.com/{year}/day/{day}/input", cookies=browser_cookie3.firefox())
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if r.status_code != 200:
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print(r)
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else:
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with open(filename,'w') as f:
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f.write(r.text)
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numbers_pattern = re.compile(r'((?:(?<!\d)-)?\d+)')
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def line_to_numbers(line: str) -> list[int]:
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return [int(x) for x in numbers_pattern.findall(line)]
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def lines_to_numbers(lines: list[str]) -> list[list[int]]:
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return [line_to_numbers(line) for line in lines]
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def transpose_array_of_strings(aos: list[str], reverse_x = False, reverse_y = False, strip = '') -> list[str]:
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return [''.join(l[i] for l in aos[::-1 if reverse_y else 1]).strip(strip) for i in range(len(aos[0]))[::-1 if reverse_x else 1]]
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def read_day(day: int) -> str:
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with open(f'input/{day:02}', 'r') as file:
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return file.read().strip()
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dtype = np.int32
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directions_array = np.array([[1,0], [-1,0], [0,1], [0,-1]], dtype=dtype)
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directions_dict = {'R': directions_array[0], 'L': directions_array[1], 'D': directions_array[2], 'U': directions_array[3]} # Positive down for visualization
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def visualise_sparse_cells_set(cells: set[tuple[int, int]], size=20, sym_hit='#', sym_miss='.'):
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vis_lol = [[sym_hit if (x,y) in cells else sym_miss for x in range(-size, size)] for y in range(-size, size)]
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vis_str = '\n'.join(''.join(line) for line in vis_lol)
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print(vis_str)
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