Implement closer_city, a function that takes a latitude, longitude, and two cities, and returns the name of the city that is relatively closer to the provided latitude and longitude. You may only use selectors and constructors (introduced above) for this question. You may also use the distance function defined above. Remember, the point of data abstraction, as we've said, is that we do not need to know how an abstract data type is implemented, but rather just how we can interact with and use the data type. def closer_city (lat, lon, cityl, city2): """ Returns the name of either cityl or city2, whichever is closest to coordinate (lat, lon). BILLI >>> berkeley = make_city('Berkeley', 37.87, 112.26) >>> stanford = make_city('Staniprd', 34.05, 118.25) >>> closer_city (38.33, 121.44, berkeley, stanford) 'Stanford' >>> bucharest = make_city('Bucharest', 44.43, 26.10) >>> vienna = make_city('Vienna', 48.20, 16.37) >>> closer_city (41.29, 174.78, bucharest, vienna) 'Bucharest' "***** YOUR CODE HERE *****" return

Implement closer_city, a function that takes a latitude, longitude, and two cities, and returns the name of the city that is relatively closer to the provided latitude and longitude. You may only use selectors and constructors (introduced above) for this question. You may also use the distance function defined above. Remember, the point of data abstraction, as we've said, is that we do not need to know how an abstract data type is implemented, but rather just how we can interact with and use the data type. def closer_city (lat, lon, cityl, city2): """ Returns the name of either cityl or city2, whichever is closest to coordinate (lat, lon). BILLI >>> berkeley = make_city('Berkeley', 37.87, 112.26) >>> stanford = make_city('Staniprd', 34.05, 118.25) >>> closer_city (38.33, 121.44, berkeley, stanford) 'Stanford' >>> bucharest = make_city('Bucharest', 44.43, 26.10) >>> vienna = make_city('Vienna', 48.20, 16.37) >>> closer_city (41.29, 174.78, bucharest, vienna) 'Bucharest' "* YOUR CODE HERE *" return

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Implement closer_city, a function that takes a latitude, longitude, and two cities, and returns the name of the city that is
relatively closer to the provided latitude and longitude.
You may only use selectors and constructors (introduced above) for this question. You may also use the distance function
defined above. Remember, the point of data abstraction, as we've said, is that we do not need to know how an abstract data
type is implemented, but rather just how we can interact with and use the data type.
def closer_city (lat, lon, cityl, city2):
""" Returns the name of either cityl or city2, whichever is closest
to coordinate (lat, lon).
||||||
>>> berkeley = make_city('Berkeley', 37.87, 112.26)
>>> stanford = make_city('Staníprd', 34.05, 118.25)
>>> closer_city (38.33, 121.44, berkeley, stanford)
'Stanford'
>>> bucharest = make_city('Bucharest', 44.43, 26.10)
>>> vienna = make_city('Vienna', 48.20, 16.37)
>>> closer_city (41.29, 174.78, bucharest, vienna)
'Bucharest'
"*** YOUR CODE HERE ***"
return <REPLACE THIS>

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