#!usr/bin/python3

# Generator-Function : A generator-function is defined like a normal function, but whenever it needs to generate a value, it does so with the yield keyword rather than return.

# If the body of a def contains yield, the function automatically becomes a generator function.

######################################

# Your own range generator using yield

# A generator function that yields 1 for first time,

# 2 second time and 3 third time

def simpleGeneratorFun():

yield 1

print("returned 1st yield")

yield 2

print("returned 2nd yield")

yield "3"

print("returned 3rd yield")

o = simpleGeneratorFun()

print(type(o))

# for n in o:

# print(n)

# Iterating over the generator object using next

print(next(o)); # In Python 3, __next__()

print(next(o));

print(next(o));

# print(next(o));

######################################

def my_range(start, end, step):

while start <= end:

yield start

start += step

seq = my_range(1, 10, 0.5)

print("aseem")

for x in seq:

print(x, end=" ")

######################################

import sys

def fibonacci(n): #generator function

a, b, counter = 0, 1, 0

while True:

if (counter > n):

return

yield a

a, b = b, a + b

counter += 1

f = fibonacci(5) #f is iterator object

while True:

try:

print (next(f), end=" ")

except StopIteration as e:

sys.exit()