103 lines
2.1 KiB
Python
103 lines
2.1 KiB
Python
from contextlib import contextmanager
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from timeit import default_timer
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from pathlib import Path
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import cProfile
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import functools
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import pstats
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def profile(func):
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@functools.wraps(func)
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def inner(*args, **kwargs):
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profiler = cProfile.Profile()
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profiler.enable()
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try:
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retval = func(*args, **kwargs)
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finally:
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profiler.disable()
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with open('profile.out', 'w') as profile_file:
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stats = pstats.Stats(profiler, stream=profile_file)
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stats.print_stats()
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return retval
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return inner
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spl = lambda y: [int(w) for w in y]
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def minmax(l):
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return min(l),max(l)
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def load_rows(day):
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return [row for row in load(day)]
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def load(day):
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path = Path(get_fname(day))
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return path.read_text().rstrip().split("\n")
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def get_fname(day: int) -> str:
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import sys
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if sys.argv[-1] == "--sample":
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return f"../samples/day{day:02}.txt"
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else:
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return f"../full/day{day:02}.txt"
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#############
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def load_char_matrix(f):
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my_file = []
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for line in f:
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my_file.append(line.rstrip())
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return [list(x) for x in my_file]
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def load_file_char_matrix(name):
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with open(name, "r") as f:
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return load_char_matrix(f)
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def load_int_matrix(f):
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my_file = []
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for line in f:
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my_file.append(line.rstrip())
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return [list(map(int, x)) for x in my_file]
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def load_file_int_matrix(name):
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with open(name, "r") as f:
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return load_int_matrix(f)
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def load_word_matrix(f):
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my_file = []
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for line in f:
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my_file.append(line.rstrip())
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return [x.split(" ") for x in my_file]
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def load_file_word_matrix(name):
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with open(name, "r") as f:
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return load_word_matrix(f)
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#############
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def rotate(WHAT, times=1):
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what = WHAT
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for x in range(times):
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what = list(zip(*what[::-1]))
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return what
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@contextmanager
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def elapsed_timer():
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start = default_timer()
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elapser = lambda: default_timer() - start
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yield lambda: elapser()
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end = default_timer()
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elapser = lambda: end - start
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