$2-$ manhattanDistance $(10$ points$)$:

This method, manhattanDistance, takes four double variables, x$1,$ x$2,$ y$1,$ and y$2,$ as

inputs. These variables represent the coordinates of two points in a $2-$dimensional plane:

$(1,1)$ and $(2,2)$ respectively. The method must calculate the Manhattan distance between

these two points and return the result as a double.

The Manhattan distance is calculated by taking the sum of the absolute values of the differences in the coordinates:

$=|12|+|12|$

Calculate the result and assign it to the variable distance.

Step$-$by$-$step workflow:

$1.$ Find the absolute value of the difference between x$1$ and x$2$ and store that in a custom variable. For example, if x$1$ is $2\mathrm{.}5$ and x$2$ is $5\mathrm{.}2,$ your variable$$s value must be $2\mathrm{.}7.$

$2.$ Find the absolute value of the difference between y$1$ and y$2$ and store that in a custom variable. For example, if y$1$ is $3\mathrm{.}7$ and y$2$ is $7\mathrm{.}8,$ your variable$$s value must be $4\mathrm{.}1.$

$3.$ Using your two custom variables from the above steps, assign distance to be the sum of your two variables.