Given information: # A set of constants, each representing a list index for station information. ID = 0 NAME = 1 LATITUDE = 2 LONGITUDE = 3 CAPACITY = 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 = [
Given information:
# A set of constants, each representing a list index for station information.
ID = 0
NAME = 1
LATITUDE = 2
LONGITUDE = 3
CAPACITY = 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]]
Given helper function: (Hint: this function is to be used to complete the docstring below)
def get_lat_lon_distance(lat1: float, lon1: float,
lat2: float, lon2: float) -> float:
"""Return the distance in kilometers between the two locations defined by
(lat1, lon1) and (lat2, lon2), rounded to the nearest metre.
>>> get_lat_lon_distance(43.659777, -79.397383, 43.657129, -79.399439)
0.338
>>> get_lat_lon_distance(43.67, -79.37, 55.15, -118.8)
3072.872
"""
# convert decimal degrees to radians
lon1, lat1, lon2, lat2 = (math.radians(lon1), math.radians(lat1),
math.radians(lon2), math.radians(lat2))
# haversine formula t
lon_diff = lon2 - lon1
lat_diff = lat2 - lat1
a = (math.sin(lat_diff / 2) ** 2
+ math.cos(lat1) * math.cos(lat2) * math.sin(lon_diff / 2) ** 2)
c = 2 * math.asin(math.sqrt(a))
return round(c * EARTH_RADIUS, 3)
QUESTION: Complete the doctring using the information above.
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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