# A set of constants, each representing a list index for station information. ID = 0 NAME = 1 %3D LATITUDE 2 %3D LONGITUDE 3 %3D CAPACITY = 4 %3D BIKES_AVAILABLE %3D DOCKS_AVAILABLE 6 NO_KIOSK "SMART' %3D # For use in the get_lat_lon_distance helper function EARTH_RADIUS = 6371 %3D # SAMPLE DATA TO USE IN DOCSTRING EXAMPLES SAMPLE_STATIONS %3D [7090, 'Danforth Ave / Lamb Ave', 43.681991, -79.329455, 15, 4, 10], [7486, 'Gerrard St E / Ted Reeve Dr', 43.684261, -79.299332, 24, 5, 19], [7571, 'Highfield Rd / Gerrard St E - SMART', 43.671685, -79.325176, 19, 14, 5]] HANDOUT_STATIONS = [ [7000, 'Ft. York / Capreol Crt.', 43.639832, -79.395954, 31, 20, 11], [7001, 'Lower Jarvis St SMART / The Esplanade', 43.647992, -79.370907, 15, 5, 10]] %3D def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: "''Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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# A set of constants, each representing a list index for station information.
ID = 0
NAME = 1
%3D
LATITUDE
2
%3D
LONGITUDE
3
%3D
CAPACITY = 4
%3D
BIKES_AVAILABLE
%3D
DOCKS_AVAILABLE
6
NO_KIOSK
"SMART'
%3D
# For use in the get_lat_lon_distance helper function
EARTH_RADIUS = 6371
%3D
# SAMPLE DATA TO USE IN DOCSTRING EXAMPLES
SAMPLE_STATIONS
%3D
[7090, 'Danforth Ave / Lamb Ave',
43.681991, -79.329455, 15, 4, 10],
[7486, 'Gerrard St E / Ted Reeve Dr',
43.684261, -79.299332, 24, 5, 19],
[7571, 'Highfield Rd / Gerrard St E - SMART',
43.671685, -79.325176, 19, 14, 5]]
HANDOUT_STATIONS = [
[7000, 'Ft. York / Capreol Crt.',
43.639832, -79.395954, 31, 20, 11],
[7001, 'Lower Jarvis St SMART / The Esplanade',
43.647992, -79.370907, 15, 5, 10]]
%3D
Transcribed Image Text:# A set of constants, each representing a list index for station information. ID = 0 NAME = 1 %3D LATITUDE 2 %3D LONGITUDE 3 %3D CAPACITY = 4 %3D BIKES_AVAILABLE %3D DOCKS_AVAILABLE 6 NO_KIOSK "SMART' %3D # For use in the get_lat_lon_distance helper function EARTH_RADIUS = 6371 %3D # SAMPLE DATA TO USE IN DOCSTRING EXAMPLES SAMPLE_STATIONS %3D [7090, 'Danforth Ave / Lamb Ave', 43.681991, -79.329455, 15, 4, 10], [7486, 'Gerrard St E / Ted Reeve Dr', 43.684261, -79.299332, 24, 5, 19], [7571, 'Highfield Rd / Gerrard St E - SMART', 43.671685, -79.325176, 19, 14, 5]] HANDOUT_STATIONS = [ [7000, 'Ft. York / Capreol Crt.', 43.639832, -79.395954, 31, 20, 11], [7001, 'Lower Jarvis St SMART / The Esplanade', 43.647992, -79.370907, 15, 5, 10]] %3D
def get_nearest_station(my_latitude: float, my_longitude: float,
stations: List['Station']) -> int:
"''Return the id of the station from stations that is nearest to the
location given by my_latidute and my_longitude.
In the case of a tie, return the ID of the last station in stations with
that distance.
Preconditions: len(stations) > 1
» get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS)
7571
» get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS)
7486
Transcribed Image Text:def get_nearest_station(my_latitude: float, my_longitude: float, stations: List['Station']) -> int: "''Return the id of the station from stations that is nearest to the location given by my_latidute and my_longitude. In the case of a tie, return the ID of the last station in stations with that distance. Preconditions: len(stations) > 1 » get_nearest_station(43.671134, -79.325164, SAMPLE_STATIONS) 7571 » get_nearest_station(43.674312, -79.299221, SAMPLE_STATIONS) 7486
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