0xD34F

def find_outlier(arr):
  n0, n1, n2 = [ n % 2 for n in arr[:3] ]
  return next(n for n in arr if n % 2 != n0) if n0 == n1 else arr[int(n2 == n0)]

new_arr = []
for n in arr:
  if len(new_arr) == 0 or abs(new_arr[-1] - n) > 0.1:
    new_arr.append(n)

from collections import Counter

count = Counter(a)
count.subtract(Counter(b))

result = sum(([ k ] * v for k, v in count.items()), [])

for name, cost in cost_before.items():
    for i in cost_now:

for i, (name, cost) in zip(cost_now, cost_before.items()):

newArr = [ [ n[0].split('_')[1], *n ] for n in arr ]

[ models[i] for i in range(0, len(models), 2) if models[i + 1] ]

def fucking_filter(arr, max_count, key=lambda n: n):
  filtered = []
  count = {}

  for n in arr:
    k = key(n)
    count[k] = count.get(k, 0) + 1
    if count[k] <= max_count:
      filtered.append(n)

  return filtered


for n in fucking_filter(genres, N):
  print(n)

def sq(n):
  return '\n'.join('x' * (i + 1) for i in range(n))

keys = list(data.keys())
result = [ { k: data[k][i] for k in keys } for i in range(len(data[keys[0]])) ]

from random import sample

arr = [ 'AAA', 'BBB', 'CCC', 'DDD', 'EEE', 'FFF', 'GGG', 'HHH' ]
string = ''.join(sample(arr, k=len(arr)))

result = [ { arr[i]: arr[i + 1] } for i in range(0, len(arr), 2) ]

from random import choice

chars = '0123456789abcdefghijklmnopqrstuvwxyz'
section_size = 4
sections_num = 5

string = '-'.join(''.join(choice(chars) for j in range(section_size)) for i in range(sections_num))

item = max(arr, key=lambda n: n['width'] * n['height'])