You’re working on software that analyzes sports players. Following are two arrays of players of different sports: basketball_players = [ {first_name: "Jill", last_name: "Huang", team: "Gators"}, {first_name: "Janko", last_name: "Barton", team: "Sharks"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Sharks"}, {first_name: "Jill", last_name: "Moloney", team: "Gators"}, {first_name: "Luuk", last_name: "Watkins", team: "Gators"} ] football_players = [ {first_name: "Hanzla", last_name: "Radosti", team: "32ers"}, {first_name: "Tina", last_name: "Watkins", team: "Barleycorns"}, {first_name: "Alex", last_name: "Patel", team: "32ers"}, {first_name: "Jill", last_name: "Huang", team: "Barleycorns"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Barleycorns"} ] You are to write a function that accepts two arrays of players and returns an array of the players who play in both sports. In this case, that would be: ["Jill Huang", "Wanda Vakulskas"] We can use a nested-loops approach, comparing each player from one array against each player from the other array, but this would have a runtime of O(N∗M). Your job is to optimize the function so that it can run just O(N+M).
You’re working on software that analyzes sports players. Following are two arrays of players of different sports: basketball_players = [ {first_name: "Jill", last_name: "Huang", team: "Gators"}, {first_name: "Janko", last_name: "Barton", team: "Sharks"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Sharks"}, {first_name: "Jill", last_name: "Moloney", team: "Gators"}, {first_name: "Luuk", last_name: "Watkins", team: "Gators"} ] football_players = [ {first_name: "Hanzla", last_name: "Radosti", team: "32ers"}, {first_name: "Tina", last_name: "Watkins", team: "Barleycorns"}, {first_name: "Alex", last_name: "Patel", team: "32ers"}, {first_name: "Jill", last_name: "Huang", team: "Barleycorns"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Barleycorns"} ] You are to write a function that accepts two arrays of players and returns an array of the players who play in both sports. In this case, that would be: ["Jill Huang", "Wanda Vakulskas"] We can use a nested-loops approach, comparing each player from one array against each player from the other array, but this would have a runtime of O(N∗M). Your job is to optimize the function so that it can run just O(N+M).
Chapter8: Arrays
Section: Chapter Questions
Problem 9PE
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You’re working on software that analyzes sports players. Following are two arrays of players of different sports:
basketball_players = [ {first_name: "Jill", last_name: "Huang", team: "Gators"}, {first_name: "Janko", last_name: "Barton", team: "Sharks"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Sharks"}, {first_name: "Jill", last_name: "Moloney", team: "Gators"}, {first_name: "Luuk", last_name: "Watkins", team: "Gators"} ] football_players = [ {first_name: "Hanzla", last_name: "Radosti", team: "32ers"}, {first_name: "Tina", last_name: "Watkins", team: "Barleycorns"}, {first_name: "Alex", last_name: "Patel", team: "32ers"}, {first_name: "Jill", last_name: "Huang", team: "Barleycorns"}, {first_name: "Wanda", last_name: "Vakulskas", team: "Barleycorns"} ]
You are to write a function that accepts two arrays of players and returns an array of the players who play in both sports. In this case, that would be:
["Jill Huang", "Wanda Vakulskas"]
We can use a nested-loops approach, comparing each player from one array against each player from the other array, but this would have a runtime of O(N∗M).
Your job is to optimize the function so that it can run just O(N+M).
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