# _*_ coding:utf-8 _*_

def inc(x):

def inc_x(y):

return x + y

return inc_x

def test_inc():

inc2 = inc(2)

inc5 = inc(5)

print inc2(5) # 7

print inc5(5) # 10

def to_upper(item):

return item.upper()

def map_demo():

name_lst = ['xy', 'bear fish', 'jay']

name_len = map(len, name_lst)

print name_len

# [2, 9, 3]

name_upper = map(to_upper, name_lst)

print name_upper

# ['XY', 'BEAR FISH', 'JAY']

name_up = []

for i in range(len(name_lst)):

name_up.append(name_lst[i].upper())

print name_up

# ['XY', 'BEAR FISH', 'JAY']

squares = map(lambda x: x * x, range(4))

print squares

# [0, 1, 4, 9]

a = [1, 2, 3, 4]

b = [17, 12, 11, 10]

c = [-1, -4, 5, 9]

print map(lambda x, y: x + y, a, b)

# [18, 14, 14, 14]

print map(lambda x, y, z: x + y + z, a, b, c)

# [17, 10, 19, 23]

def reduce_demo():

lst = range(1, 6)

print lst # [1, 2, 3, 4, 5]

sum = reduce(lambda x, y: x + y, lst)

print sum # 15

def cal_aver():

lst = range(0, 11)

positive_num_cnt = 0

positive_num_sum = 0

for i in range(len(lst)):

if lst[i] > 0:

positive_num_cnt += 1

positive_num_sum += lst[i]

average = 0

if positive_num_cnt > 0:

average = positive_num_sum / positive_num_cnt

print average # 5

def filter_demo():

lst = range(0, 11)

odd_lst = filter(lambda x: x % 2, lst)

print odd_lst # [1, 3, 5, 7, 9]

average = reduce(lambda x, y: x + y, odd_lst) / len(odd_lst)

print average # 5

if __name__ == '__main__':

# test_inc()

map_demo()

# reduce_demo()

# filter_demo()

# cal_aver()

pass