please write the python code to implement without error for this problem. I am stuck.

Write code, and refrain from using a built$-$in python function, that empirically deter$-$

mines the so$-$called machine precision of M$3.$ This is the smallest floating point number

that M$3$ recognizes as being different from $0\mathrm{.}0.($Floating point numbers have decimal

points as opposed to integers.$)$ Call this smallest float epsilon. From class, recall that

one way to estimate epsilon is to find the largest float $$ that satisfies $1\mathrm{.}0+=1\mathrm{.}0.$

The value epsilon tells you how precise a floating point number can be represented on a

machine. Any floating point number smaller than epsilon will be represented as a zero

by the computer. $($So typing in a number with, say, $20$ digits after the decimal point is

just useless.$)$ Those that come to class regularly have already solved this! To be clear, I

need an explicit value for epsilon printed out.