My grandfather always predicted how old people would get, and right before he passed away he revealed his secret!
In honor of my grandfather's memory we will write a function using his formula!
* Take a list of ages when each of your great-grandparent died.  
* Multiply each number by itself.  
* Add them all together.  
* Take the square root of the result.  
* Divide by two.
## Example
```R
predict_age(65, 60, 75, 55, 60, 63, 64, 45) == 86
```
```python
predict_age(65, 60, 75, 55, 60, 63, 64, 45) == 86
```
Note: the result should be rounded down to the nearest integer.
Some random tests might fail due to a bug in the JavaScript implementation. Simply resubmit if that happens to you.
def predict_age(age_1, age_2, age_3, age_4, age_5, age_6, age_7, age_8):
    starting_list = [age_1, age_2, age_3, age_4, age_5, age_6, age_7, age_8]
    each_muliply_itself = []
    for age in starting_list:
        each_muliply_itself.append(age*age)
    total_multiplied_ages = sum(each_muliply_itself)
    square_root_result = total_multiplied_ages**(.5)
    result = square_root_result/2
    return int(result)
def predict_age(age_1, age_2, age_3, age_4, age_5, age_6, age_7, age_8):
    starting_list = [age_1, age_2, age_3, age_4, age_5, age_6, age_7, age_8]
    each_muliply_itself = []
    for age in starting_list:
        each_muliply_itself.append(age*age)
    total_multiplied_ages = sum(each_muliply_itself)
    square_root_result = total_multiplied_ages**(.5)
    result = square_root_result/2
    return int(result)