s = list(map(lambda x, y: x + y, [1, 2, 3], [4, 5, 6]))
print(s)

import numpy as np
mtx=np.array([[1, 2],
              [3, 4]])

print(mtx.shape)

import numpy as np
mtx=np.array([[1, 2],
              [3, 4]])

print(mtx.size)

def gt_100(x):
    if x > 100:
        return True
    else:
        return False

import numpy as np
matrix = np.array([[99, 101], [100, 102]])
#your code
gt_100(matrix)

tup = (5, 7, 22, 97)
newtup = tuple(map(lambda x: x + 3, tup))
print(newtup)

import numpy as np
a = np.array([[101, 99],[102, 98]])
print(np.max(a))

x = 5
print([y%2 for y in range(6)][x])

def func(x):
    if x >= 3:
        return x
y = filter(func, (1, 2, 3, 4))
print(list(y))

def func(x):
    if x < 3:
        return x
y = filter(func, (0, 1, 2, 3, 4))
print(list(y))

def f():
    import sys
    locs = sys._getframe(1).f_locals
    setattr(locs['self'], 'xy', 4*locs['x'] + 7*locs['y'])

class A:
    def __init__(self, x, y):
        self.xy = 2*x + 3*y
        f()

a = A(2, 3)
A.xy = 99
print(a.xy)