def test_errors():
P = np.array([[1, 1], [2, 1]])
Q = np.array([[2, 2], [0, 1], [2, 4]])
with pytest.raises(ValueError):
assert frdist(P, Q) == 2.0
P = np.array([])
Q = np.array([[2, 2], [0, 1], [2, 4]])
with pytest.raises(ValueError):
assert frdist(P, Q) == 2.0
def test_errors():
P = [[1, 1], [2, 1]]
Q = [[2, 2], [0, 1], [2, 4]]
with pytest.raises(ValueError):
assert frdist(P, Q) == 2.0
P = []
Q = [[2, 2], [0, 1], [2, 4]]
with pytest.raises(ValueError):
assert frdist(P, Q) == 2.0
def test_main():
for test_case in test_cases:
P = test_case['P']
Q = test_case['Q']
eo = test_case['expected']
assert frdist(P, Q) == eo
print("Hausdorf")
print(Hausdorf)
print("Len of Hausdorf")
print(len(Hausdorf))
Filename.append("101.jpg")
print(Filename)
data = {'Hausdorf': Hausdorf, 'ID': Filename}
NS = pd.DataFrame(data)
#METHOD2 - FRECHET DISTANCE
#Frechet Distance
s = u1.shape
v1.resize(s)
Frechet = []
Filename1 = []
##METHOD1 - FRECHET'S DISTANCE
f = frdist(u1, v1)
print("Frechet's distance")
print(f)
Frechet.append(f)
print("Frechet")
print(Frechet)
print("Len of Frechet")
print(len(Frechet))
Filename1.append("101.jpg")
print(Filename1)
NS['Frechet'] = f
#Write out the dataframe to an excel file
NS.to_csv(r"101_HF.csv", index=False, header=True)
[40,12.76868]] b = [[5,0.05411], [10,0.03746], [15,1.38599], [20,3.86277], [25,6.08305], [30,2.54065], [35,3.54065], [40,15.17554]] c = [[5,0.17903], [10,5.04448], [15,18.06757], [20,26.50588], [25,17.93629], [30,15.93676], [35,11.99633], [40,7.2321]] d = [[5,2.03744], [10,3.93495], [15,29.31478], [20,23.28149], [25,10.98102], [30,19.96778], [35,9.04275], [40,5.30423]] print frdist(d, c)