ef 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
ef 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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Question
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
"""
![# For simplicity, we'll use "Station" in our type contracts to indicate that
# we mean a list containing station data.
#
# You can read "Station" in a type contract as:
List[int, str, float, float, int, int, int]
#
#
# where the values at each index represent the station data as described in the
# handout on Quercus.
# A set of constants, each representing a list index for station information.
ID = 0
NAME = 1
LATITUDE = 2
LONGITUDE = 3
САРАСІTY - 4
BIKES_AVAILABLE = 5
DOCKS_AVAILABLE = 6
NO_KIOSK = 'SMART'
# For use in the get_lat_lon_distance helper function
EARTH_RADIUS = 6371
# SAMPLE DATA TO USE IN DOCSTRING EXAMPLES
SAMPLE_STATIONS = [
[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]]](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2597cbfd-8e09-416c-9d3e-8f104965bd19%2Fe24f950e-99a6-4a99-95dc-8821691c65e3%2Fqy1vfz_processed.png&w=3840&q=75)
Transcribed Image Text:# For simplicity, we'll use "Station" in our type contracts to indicate that
# we mean a list containing station data.
#
# You can read "Station" in a type contract as:
List[int, str, float, float, int, int, int]
#
#
# where the values at each index represent the station data as described in the
# handout on Quercus.
# A set of constants, each representing a list index for station information.
ID = 0
NAME = 1
LATITUDE = 2
LONGITUDE = 3
САРАСІTY - 4
BIKES_AVAILABLE = 5
DOCKS_AVAILABLE = 6
NO_KIOSK = 'SMART'
# For use in the get_lat_lon_distance helper function
EARTH_RADIUS = 6371
# SAMPLE DATA TO USE IN DOCSTRING EXAMPLES
SAMPLE_STATIONS = [
[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]]
![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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2597cbfd-8e09-416c-9d3e-8f104965bd19%2Fe24f950e-99a6-4a99-95dc-8821691c65e3%2Fnhh4hjj_processed.png&w=3840&q=75)
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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