from copy import deepcopy
parser = argparse.ArgumentParser()
parser.add_argument("--from-std-in", action='store_true', default=False)
args = parser.parse_args()
if args.from_std_in:
raw_input = clipboard.paste()
else:
with open("input.txt", "r") as f:
raw_input = f.read()
raw_input = raw_input.strip()
input = (
Input(raw_input)
# .all()
# .ints()
# .int_tokens()
# .tokens()
.lines()
# .line_tokens()
# .line_tokens(sep = "\n", line_sep = "\n\n")
)
def parse_potential_ingredients(row, potential_allergen_ingredients,
all_ingredients, ingredient_counts):
ingredients_str, allergens_str = row.split(" (contains ")
ingredients = ingredients_str.split(" ")
allergens = allergens_str[:-1].split(", ")
for allergen in allergens:
if not allergen in potential_allergen_ingredients:
parser = argparse.ArgumentParser()
parser.add_argument("--from-std-in", action='store_true', default=False)
args = parser.parse_args()
if args.from_std_in:
raw_input = clipboard.paste()
else:
with open("input.txt", "r") as f:
raw_input = f.read()
raw_input = raw_input.strip()
input = (
Input(raw_input)
# .all()
# .ints()
# .int_tokens()
# .tokens()
# .lines()
# .line_tokens()
.line_tokens(sep="\n", line_sep="\n\n"))
GRID_SIZE = 10
def print_grid(grid):
for row in grid:
for char in row:
print(char, end="")
print()
def rotate_grid_clockwise(grid):
from copy import deepcopy
import nltk
parser = argparse.ArgumentParser()
parser.add_argument("--from-std-in", action='store_true', default=False)
args = parser.parse_args()
if args.from_std_in:
raw_input = clipboard.paste()
else:
with open("input.txt", "r") as f:
raw_input = f.read()
raw_input = raw_input.strip()
input = (
Input(raw_input).all()
# .ints()
# .int_tokens()
# .tokens()
# .lines()
# .line_tokens()
# .line_tokens(sep = "\n", line_sep = "\n\n")
)
def solve_nltk(input):
nltk_grammar_str = input.split("\n\n")[0].replace(":", " ->")
grammar = nltk.CFG.fromstring(nltk_grammar_str)
print(grammar)
parser = nltk.ChartParser(grammar)
from functools import reduce
from copy import deepcopy
parser = argparse.ArgumentParser()
parser.add_argument("--from-std-in", action='store_true', default=False)
args = parser.parse_args()
if args.from_std_in:
raw_input = clipboard.paste()
else:
with open("input.txt", "r") as f:
raw_input = f.read()
raw_input = raw_input.strip()
input = (
Input(raw_input)
# .all()
.ints()
# .int_tokens()
# .tokens()
# .lines()
# .line_tokens()
# .line_tokens(sep = "\n", line_sep = "\n\n")
)
def solve(input):
key1 = input[0]
key2 = input[1]
cached = defaultdict(lambda: {0: 1})