Create a new $.$py file called SpaceCapsuleEnvironment.py and build a model that keeps the space capsule in the safety range for as long as possible using SARSA algorithm.

$1)[15$ points$]$ Create a SpaceEnv$()$ class with the following function

$[5$ points$]\_\_$init$\_\_($self$),$ an initilization function that defines the initial values for the environment.

$[5$ points$]$ step$($self$,$ action$),$ a step function that provides the next observation $($state$)$ of the system, a reward, and stopping criteria $($done$)$ given an action.

$[5$ points$]$ reset$($self$),$ a function to reset the values of the environment after each epsiode.

$2)[5$ points$]$ Discretize the alignment range in $100$ evenly spaced numbers over the interval $-200$ cm and $200$ cm$.$ You should use the function np$.$linspace. Also, update the function getState$($observation$).$

$3)[10$ points$]$ Run SARSA algorithm with the SpaceEnv$()$ you've just created. You should save the plot containing the results.

$4)[10$ points$]$ Change the learning rate parameter ALPHA to $0\mathrm{.}2$ and then to $0\mathrm{.}5,$ and discuss your findings.