Bandwagoner

10 Points

labelled-fields

Instructions

In this exercise you're a big sports fan and you've just discovered a passion for NBA basketball. Being new to NBA basketball, you're doing a deep dive into NBA history, keeping track of teams, coaches, their win/loss stats, and comparing them against each other.

As you don't yet have a favorite team, you'll also be developing an algorithm to figure out whether to root for a particular team.

You have seven tasks to help you develop your proprietary root-for-a-team algorithm.

1. Define the model

Define the Coach record with the following two fields:

name: the coach's name, of type String.
former_player: indicates if the coach was a former player, of type Bool.

Define the Stats record with the following two fields:

wins: the number of wins, of type Int.
losses: the number of losses, of type Int.

Define the Team record with the following three fields:

name: the team's name, of type String.
coach: the team's coach, of type Coach.
stats: the team's stats, of type Stats.

2. Create a team's coach

Implement the create_coach function that takes the coach name and its former player status as parameters, and returns its Coach record:

create_coach("Larry Bird", True)
// -> Coach(name: "Larry Bird", former_player: True)

3. Create a team's stats

Implement the create_stats function that takes the number of wins and the number losses as parameters, and returns its Stats record:

create_stats(58, 24)
// -> Stats(wins: 58, losses: 24)

4. Create a team

Implement the create_team function that takes the team name, coach and record as parameters, and returns its Team record:

let coach = create_coach("Larry Bird", True)
let stats = create_stats(58, 24)
create_team("Indiana Pacers", coach, stats)
// -> Team(
//   name: "Indiana Pacers",
//   coach: Coach(name: "Larry Bird", FormerPlayer = True),
//   stats: Stats(wins: 58, losses: 24),
// ) 

5. Replace the coach

NBA owners being impatient, you found that bad team results would often lead to the coach being replaced. Implement the replace_coach function that takes the team and its new coach as parameters, and returns the team but with the new coach:

let coach = create_coach("Larry Bird", True)
let record = create_stats(58, 24)
let team = create_team("Indiana Pacers", coach, record)

let new_coach = create_coach("Isiah Thomas", True)
replace_coach(team, new_coach)
// -> Team(
//   name: "Indiana Pacers",
//   coach: Coach(name: "Isiah Thomas", FormerPlayer = True),
//   stats: Stats(wins: 58, losses: 24),
// ) 

6. Check for same team

While digging into stats, you're keeping lists of teams and their records. Sometimes, you get things wrong and there are duplicate entries on your list. Implement the is_same_team function that takes two teams and returns True if they are the same team, otherwise, return False:

let pacers_coach = create_coach("Larry Bird", True)
let pacers_stats = create_stats(58, 24)
let pacers_team = create_team("Indiana Pacers", pacers_coach, pacers_stats)

let lakers_coach = create_coach("Del Harris", False)
let lakers_stats = create_stats(61, 21)
let lakers_team = create_team("LA Lakers", lakers_coach, lakers_stats)

is_same_team(pacers_team, lakers_team)
// -> False

7. Check if you should root for a team

Having looked at many teams and matches, you've come up with an algorithm. If one of the following is True, you root for that team:

The coach's name is "Gregg Popovich"
The coach is a former player
The team's name is the "Chicago Bulls"
The team has won 60 or more games
The team has more losses than wins

Implement the root_for_team function that takes a team and returns True if you should root for that team, otherwise, return False:

let spurs_coach = create_coach("Gregg Popovich", False)
let spurs_stats = create_stats(56, 26)
let spurs_team = create_team("San Antonio Spurs", spurs_coach, spurs_stats)
root_for_team(spurs_team)
// -> True

gleam