Create the Road Trip solution you created in Lab $1$ as a python program called road$\_$trip.py$.$ Use the same values and algorithms from Lab $1.$ Prompt the user for three integers as: maximum miles per day, average speed $($mph$),$ and distance between $15-$minute break waypoints. Calculate the total travel hours per day and total driving hours for each of the five trips depicted below. Use print with formatting $($f$-$strings$)$ to match the output. Enter the maximum miles per day:

$800$

Enter the average speed $($mph$)$:

$70$

Enter miles driven before $15$ minute break:

$200$

Total travel hours per day: $12\mathrm{.}4$

Trip Miles Hours

$=====================================$

Dallas to New York $155724\mathrm{.}2$

Dallas to Los Angeles $143622\mathrm{.}3$

Dallas to Chicago $96815\mathrm{.}0$

Dallas to Houston $2403\mathrm{.}7$

Dallas to Anchorage $388760\mathrm{.}4$

$4)[30$ points$]$ Income by City

Create the Income by City calculations you developed in Lab $1$ as a Python program called

income$\_$by$\_$city.py$.$ You will prompt the user to enter the annual income for Dallas. Calculate the

equivalent income for the eight cities listed using the adjustment percentages provided. Format the

output so the data aligns in three columns as shown in the sample output below $($Hint: use f$-$strings$).$

Sample run: $($highlighted text indicates data entered by user at runtime.$)$

Enter annual income $-$ Dallas: $ $100000$

Location Adjustment Equivalent Income

$=============================================$

New York $34\%$ $$134,000\mathrm{.}00$

Los Angeles $20\%$ $$120,000\mathrm{.}00$

Chicago $11\%$ $$111,000\mathrm{.}00$

Minneapolis $6\%$ $$106,000\mathrm{.}00$

Houston $1\%$ $$101,000\mathrm{.}00$

Memphis $-1\%$ $$99,000\mathrm{.}00$

San Antonio $-3\%$ $$97,000\mathrm{.}00$

Toledo $-5\%$ $$95,000\mathrm{.}00$