def test_distance_kullback_sym():
old_dist = distance_kullback_sym(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.kullback_sym(m1, m2)
return _get_state(old_dist, new_dist, "kullback sym")
def test_log_euclidean():
old_dist = distance_logeuclid(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.log_euclidean(m1, m2)
return _get_state(old_dist, new_dist, "log euclidean")
def test_distance_wasserstein():
old_dist = distance_wasserstein(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.wasserstein(m1, m2)
return _get_state(old_dist, new_dist, "wasserstein")
def test_distance_kullback_sym():
old_dist = distance_kullback_sym(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.kullback_sym(m1, m2)
return _get_state(old_dist, new_dist, "kullback sym")
def test_distance_riemman():
old_dist = distance_riemann(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.riemannian(m1, m2)
return _get_state(old_dist, new_dist, "riemmanian")
def test_distance_riemman():
old_dist = distance_riemann(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.riemannian(m1, m2)
return _get_state(old_dist, new_dist, "riemmanian")
def test_log_euclidean():
old_dist = distance_logeuclid(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.log_euclidean(m1, m2)
return _get_state(old_dist, new_dist, "log euclidean")
def test_distance_logdet():
new_dist = Distance.log_determinant(m1, m2)
m1.reset_fields()
m2.reset_fields()
old_dist = distance_logdet(m1.numpy_array, m2.numpy_array) # TypeError: unsupported operand type(s) for /: 'CovMat' and 'float'
#new_dist = Distance.log_determinant(m1.numpy_array, m2.numpy_array) # AttributeError: 'numpy.ndarray' object has no attribute 'determinant
return _get_state(old_dist, new_dist, "log determinant")
def function():
covmat1 = CovMat.random(100)
covmat2 = CovMat.random(100)
a = Distance.euclidean(covmat1, covmat2)
b = Distance.log_euclidean(covmat1, covmat2)
c = Distance.log_determinant(covmat1, covmat2)
d = Distance.riemannian(covmat1, covmat2)
e = Distance.wasserstein(covmat1, covmat2)
f = Distance.kullback(covmat1, covmat2)
g = Distance.kullback_right(covmat1, covmat2)
h = Distance.kullback_sym(covmat1, covmat2)
def test_distance_logdet():
new_dist = Distance.log_determinant(m1, m2)
m1.reset_fields()
m2.reset_fields()
old_dist = distance_logdet(
m1.numpy_array, m2.numpy_array
) # TypeError: unsupported operand type(s) for /: 'CovMat' and 'float'
#new_dist = Distance.log_determinant(m1.numpy_array, m2.numpy_array) # AttributeError: 'numpy.ndarray' object has no attribute 'determinant
return _get_state(old_dist, new_dist, "log determinant")
def test_euclidean():
m1 = CovMat.random(10)
m2 = CovMat.random(10)
old_dist = distance_euclid(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.euclidean(m1, m2)
if abs( old_dist - new_dist ) < 1e-10:
print("euclid: PASS")
return True
else:
print("euclid: FAIL")
return False
def test_euclidean():
m1 = CovMat.random(10)
m2 = CovMat.random(10)
old_dist = distance_euclid(m1.numpy_array, m2.numpy_array)
m1.reset_fields()
m2.reset_fields()
new_dist = Distance.euclidean(m1, m2)
if abs(old_dist - new_dist) < 1e-10:
print("euclid: PASS")
return True
else:
print("euclid: FAIL")
return False
def getDistance(self):
"""returns a Distance object """
GPIO.output(self.trigger, True)
time.sleep(0.00001)
GPIO.output(self.trigger, False)
StartTime = time.time()
StopTime = time.time()
while GPIO.input(self.echo) == 0:
StartTime = time.time()
while GPIO.input(self.echo) == 1:
StopTime = time.time()
TimeElapsed = StopTime - StartTime
distance = Distance((TimeElapsed * 34300) / 2)
return distance
