PY @python_tasks
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c = map(lambda x: x ** x, filter(lambda x: x % 2, (1, 2, 3, 4)))
print(*c)
f = lambda i, sign: sign * (i**2 + 7) // (i**3 + 34)
g = lambda i, sign: sign * (i**6 + 1) // (i ** 2 + i + 121)
h = lambda f: sum(f(i, 1) + f(i, -1) for i in range(1000))
print(h(f) + h(g))
x= -7 // 3 == -(7 // 3)
y = -7 // -3 == 7 // 3
print(x, y)
from fractions import Fraction
x = 0.375
y = Fraction(*x.as_integer_ratio())
print(y)
from sklearn.cluster import KMeans
import numpy as np
x = np.array([[35, 7000], [45, 6900], [70, 7100], [20, 2000], [25, 2200], [15, 1800]])
kmeans = KMeans(n_clusters=2).fit(x)
y = kmeans.cluster_centers_
print(y)
from fractions import Fraction
a = Fraction(1, 3)
b = Fraction(1, 4)
c = a + b
d = c.limit_denominator(2)
print(d)
from fractions import Fraction
a = Fraction(2, 3)
b = Fraction(1, 2)
print(a - b)
from math import isnan
c = float('nan')
i = 0
if c == float('nan'):
i += 1
if c is float('nan'):
i += 1
if isnan(c):
i += 1
print(i)
import math
a = float('nan')
b = a + 10
c = a / 2
d = a * 2
e = math.sqrt(a)
print(a == b, b == c, a == c, c == d, a == d, d == e, a == e)