We will now use those selectors to write distance, which computes the distance between two city objects. Recall that the distance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)**2 + (y1 - y2)**2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in the function. from math import sqrt def distance (city_1, city_2): HHH >>> city1 = make_city('city1', 0, 1) >>> city2 = make_city('city2', 0, 2) >>> distance (cityl, city2) 1.0 Bun "*** YOUR CODE HERE *****"

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
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---for example,
Data abstraction is a powerful concept in computer science that allows programmers to treat code as objects
car objects, chair objects, people objects, etc. That way, programmers don't have to worry about how code is implemented
they just have to know what it does.
Data abstraction mimics how we think about the world. For example, when you want to drive a car, you don't need to know
how the engine was built or what kind of material the tires are made of. You just have to know how to turn the wheel and press
the gas pedal.
An abstract data type consists of two types of functions:
• Constructors: functions that build the abstract data type.
• Selectors: functions that retrieve information from the data type.
For example, say we have an abstract data type called city. This city object will hold the city's name, and its latitude
and longitude. To create a city object, you'd use a constructor like
city=make_city (name, lat, lon)
To extract the information of a city object, you would use the selectors like
get_name (city)
get_lat (city)
get_lon(city)
For example, here is how we would use the make_city constructor to create a city object to represent Berkeley and the
selectors to access its information.
>>> berkeley = make_city('Berkeley', 122, 37)
>>>get_name (berkeley)
'Berkeley'
>>>get_lat (berkeley)
>>>get_lon (berkeley)
122
37
Notice that we don't need to know how these functions were implemented. We are assuming that someone else has defined
them for us.
===
It's okay if the end user doesn't know how functions were implemented. However, the functions still have to be defined by
someone. We'll look into defining the constructors and selectors later in this discussion.
Ques
Ques
Quest
Politician
Questi
Submit
Transcribed Image Text:---for example, Data abstraction is a powerful concept in computer science that allows programmers to treat code as objects car objects, chair objects, people objects, etc. That way, programmers don't have to worry about how code is implemented they just have to know what it does. Data abstraction mimics how we think about the world. For example, when you want to drive a car, you don't need to know how the engine was built or what kind of material the tires are made of. You just have to know how to turn the wheel and press the gas pedal. An abstract data type consists of two types of functions: • Constructors: functions that build the abstract data type. • Selectors: functions that retrieve information from the data type. For example, say we have an abstract data type called city. This city object will hold the city's name, and its latitude and longitude. To create a city object, you'd use a constructor like city=make_city (name, lat, lon) To extract the information of a city object, you would use the selectors like get_name (city) get_lat (city) get_lon(city) For example, here is how we would use the make_city constructor to create a city object to represent Berkeley and the selectors to access its information. >>> berkeley = make_city('Berkeley', 122, 37) >>>get_name (berkeley) 'Berkeley' >>>get_lat (berkeley) >>>get_lon (berkeley) 122 37 Notice that we don't need to know how these functions were implemented. We are assuming that someone else has defined them for us. === It's okay if the end user doesn't know how functions were implemented. However, the functions still have to be defined by someone. We'll look into defining the constructors and selectors later in this discussion. Ques Ques Quest Politician Questi Submit
We will now use those selectors to write distance, which computes the distance between two city objects. Recall that the
distance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)**2 +
(y1 - y2) **2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in the
function.
from math import sqrt
def distance (city_1, city_2):
||||||
F
>>> cityl =
make_city('cityl', 0, 1)
>>> city2 = make_city('city2', 0, 2)
>>> distance(city1, city2)
1.0
**** YOUR CODE HERE ***"
Transcribed Image Text:We will now use those selectors to write distance, which computes the distance between two city objects. Recall that the distance between two coordinate pairs, (x1, y1) and (x2, y2) can be found by calculating the sqrt of (x1 - x2)**2 + (y1 - y2) **2. We have already imported sqrt for your convenience, so use that and the appropriate selectors to fill in the function. from math import sqrt def distance (city_1, city_2): |||||| F >>> cityl = make_city('cityl', 0, 1) >>> city2 = make_city('city2', 0, 2) >>> distance(city1, city2) 1.0 **** YOUR CODE HERE ***"
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