from functools import cache, lru_cache


@lru_cache(maxsize=5)
def fib(n):
    if n <= 1:
        return n
    return fib(n - 1) + fib(n - 2)


def main():
    for i in range(400):
        print(i, fib(i))
    print("done")


if __name__ == '__main__':
    main()

def myfunc(a,b):
    if a>b:
        print ("It worked")
    
    else:
        print ("No")
        
myfunc(2,1)

hungry = True

if hungry:
    print('FEED ME NOW!')
else:
    print("I'M NOT HUNGRY!!!")

loc = 'Store'
if loc == 'Auto Shop':
    print("Cars are cool!!!")
elif loc  == 'Bank':
    print('Money is cool!!!')
elif loc == 'Store':
    print('Welcome to the store!')
else:
    print("I do not know much")

loc = 'Store'
if loc == 'Auto Shop':
    print("Cars are cool!!!")
elif loc  == 'Bank':
    print('Money is cool!!!')
elif loc == 'Store':
    print('Welcome to the store!')
else:
    print("I do not know much")

import requests

response = requests.get('https://httpbin.org/ip')

print('Your IP is {0}'.format(response.json()['origin']))

# Why Python is Great: Namedtuples
# Using namedtuple is way shorter than
# defining a class manually:
>>> from collections import namedtuple
>>> Car = namedtuple('Car', 'color mileage')

# Our new "Car" class works as expected:
>>> my_car = Car('red', 3812.4)
>>> my_car.color
'red'
>>> my_car.mileage
3812.4

# We get a nice string repr for free:
>>> my_car
Car(color='red' , mileage=3812.4)

# Like tuples, namedtuples are immutable:
>>> my_car.color = 'blue'
AttributeError: "can't set attribute"

# The "timeit" module lets you measure the execution
# time of small bits of Python code

>>> import timeit
>>> timeit.timeit('"-".join(str(n) for n in range(100))',
                  number=10000)

0.3412662749997253

>>> timeit.timeit('"-".join([str(n) for n in range(100)])',
                  number=10000)

0.2996307989997149

>>> timeit.timeit('"-".join(map(str, range(100)))',
                  number=10000)

0.24581470699922647

# Let's say we want to swap
# the values of a and b...
a = 23
b = 42

# The "classic" way to do it
# with a temporary variable:
tmp = a
a = b
b = tmp

# Python also lets us
# use this short-hand:
a, b = b, a