def test_distance():
assert haversine(40, 2, 30, 1) != 0
def test_type():
assert type(haversine(40.6, 30, 35.8, 2)) == float
def test_type_of_distance():
assert type(haversine(48.865, 2.380, 48.235, 2.393)) == float
def test_assert():
assert haversine(40.7486, -73.9864, 51.8853, 0.2545) == 8289.57366475712
def test_dist():
assert haversine(2.380009, 48.865070, 2.3514616,
48.8566969) == 2.2864989955090875
assert type(haversine(2.380009, 48.865070, 2.3514616, 48.8566969)) == float
def test_distance():
assert type(haversine(2, 0, 0, 0)) == float
def test_haversine():
lat1, lon1 = 48.865070, 2.380009
#Insert your coordinates from google maps here
lat2, lon2 = 49.3945, 3.3
distance = haversine(lon1, lat1, lon2, lat2)
assert distance == 89.14169592868782
def accuracy():
res = haversine(48.865070, 2.380009, -34.59972, -58.38194)
assert round(res) == 11051
def test_haversine():
lon1, lat1, lon2, lat2 = 48.865070, 2.380009, 45.52635057348148, -73.59503385974871
assert haversine(lon1, lat1, lon2, lat2) == 8451.184264890737
def test_distance_type():
assert type(haversine(48.865070, 2.380009, 49.865070,
3.380009)) == type(32.23)
def test_type_distance():
res = haversine(48.865070, 2.380009, -34.59972, -58.38194)
assert type(res) == type(32.3)
def testeadordistancia():
#Insert your coordinates from google maps here
assert (haversine(48.865070, 2.380009, 48.235070,
2.393409), 70.00789153218594)
from mlproject.distance import haversine distance = haversine(40.7486, -73.9864, 51.8853, 0.2545) print(distance)
def test_distante():
assert int(haversine(48.865070, 2.380009, 48.235070, 2.393409)) == 70
def test_haversine():
assert haversine(0, 0, 0, 0) == 0
def test_distance():
# datapath = os.path.dirname(os.path.abspath(mlproject.__file__)) + '/data'
assert haversine(48.865070, 2.380009, 48.235070,
2.393409) == 70.00789153218594
def test_distance_two_point():
assert type(haversine(2.380009, 48.865070, 2.3514616, 48.8566969)) == float
def test_type_haversine():
assert type(haversine(48.865070, 2.380009, 48.865070,
1.380009)) == int or float
def test_clean_data():
lat1, lon1 = 48.865070, 2.380009
#Insert your coordinates from google maps here
lat2, lon2 = 49.865070, 2.480009
distance = haversine(lon1, lat1, lon2, lat2)
assert distance == 111.43044100970154
def test_type_of_haversine():
assert type(haversine(2, 0, 0, 0)) == float
from mlproject.distance import haversine
if __name__ == "__main__":
# Le Wagon location
lat1, lon1 = 48.865070, 2.380009
#Insert your coordinates from google maps here
#lat2, lon2 = x, y
distance = haversine(lon1, lat1, lon2, lat2)
print(distance)
def dist(lon1, lat1, lon2, lat2):
dist = haversine(float(lon1), float(lat1), float(lon2), float(lat2))
return dist
def test_distance():
out = haversine(48.865070, 2.380009, 48.235070, 2.393409)
assert type(out) == float
assert out == 70.00789153218594
print('All tests passed!')
def test_haversine():
assert haversine(48.865070, 2.380009, 48.235070, 2.393409) == \
70.00789153218594
def test_result_haversine():
lat1, lon1 = 48.865070, 2.380009
lat2, lon2 = 51.5236, 0.1330
distance = haversine(lon1, lat1, lon2, lat2)
assert isinstance(distance, float)
assert distance == 336.0762607746561
def test_return_value():
assert haversine(48.865070, 2.380009, 48.235070,
2.393409) == 70.00789153218594
def test_haversine():
assert haversine(48.865, 2.380, 48.235,
2.393) == imp_haversine(48.865, 2.380, 48.235, 2.393)
def test_type_of_result():
assert isinstance(haversine(48.865070, 2.380009, 48.235070, 2.393409),
float)
def test_valid_distance():
assert haversine(48.865, 2.380, 48.235, 2.393) > 0
def test_haversine():
lat1, lon1 = 48.865070, 2.380009
lat2, lon2 = 48.235, 2.393
distance = haversine(lon1, lat1, lon2, lat2)
assert distance == 70.06711243740715
