The complement and the long run

You will write the complement rule, roll a die many times by computer, and compare the share with the theory.

The idea. $P(\text{not } E) = 1 - P(E)$. A computer can roll a die with random.randint(1, 6). After random.seed(...) it gives the same rolls every time, so the checker can test your count.

Your tasks.

1. In p_not, return the chance that the event does not happen.
2. In share_of_ones, roll one die n times and return the share of $1$s as a decimal.
3. Set p_no_one to the chance of not rolling a $1$, using your function from task 1.