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connection_data.py
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connection_data.py
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import geomstats.backend as gs
from geomstats.geometry.euclidean import Euclidean
from geomstats.geometry.hypersphere import Hypersphere
from geomstats.geometry.special_orthogonal import SpecialOrthogonal
from tests.data_generation import TestData
class ConnectionTestData(TestData):
def metric_matrix_test_data(self):
smoke_data = [
dict(
space=Euclidean(dim=4),
point=gs.array([0.0, 1.0, 0.0, 0.0]),
expected=gs.eye(4),
)
]
return self.generate_tests(smoke_data)
def parallel_transport_test_data(self):
smoke_data = [dict(dim=2, n_samples=2)]
return self.generate_tests(smoke_data)
def parallel_transport_trajectory_test_data(self):
smoke_data = [dict(dim=2, n_samples=2)]
return self.generate_tests(smoke_data)
def exp_connection_metric_test_data(self):
smoke_data = [
dict(
dim=2,
tangent_vec=gs.array([[0.25, 0.5], [0.30, 0.2]]),
base_point=gs.array([[gs.pi / 2, 0], [gs.pi / 6, gs.pi / 4]]),
),
dict(
dim=2,
tangent_vec=gs.array([0.25, 0.5]),
base_point=gs.array([gs.pi / 2, 0]),
),
]
return self.generate_tests(smoke_data)
def log_connection_metric_test_data(self):
smoke_data = [
dict(
dim=2,
point=gs.array([1.0, gs.pi / 2]),
base_point=gs.array([gs.pi / 3, gs.pi / 4]),
atol=1e-6,
),
dict(
dim=2,
point=gs.array([[1.0, gs.pi / 2], [gs.pi / 6, gs.pi / 3]]),
base_point=gs.array([[gs.pi / 3, gs.pi / 4], [gs.pi / 2, gs.pi / 4]]),
atol=1e-6,
),
]
return self.generate_tests(smoke_data)
def geodesic_with_exp_connection_test_data(self):
smoke_data = [
dict(
dim=2,
point=gs.array([1.0, gs.pi / 2]),
tangent_vec=gs.array([gs.pi / 3, gs.pi / 4]),
n_times=10,
n_steps=10,
expected=(10, 2),
atol=1e-6,
),
dict(
dim=2,
point=gs.array([1.0, gs.pi / 2]),
tangent_vec=gs.array([[gs.pi / 3, gs.pi / 4], [gs.pi / 2, -gs.pi / 4]]),
n_times=10,
n_steps=100,
expected=(2, 10, 2),
atol=1e-6,
),
dict(
dim=2,
point=gs.array([[1.0, gs.pi / 2], [gs.pi / 6, gs.pi / 3]]),
tangent_vec=gs.array([[gs.pi / 3, gs.pi / 4], [gs.pi / 2, gs.pi / 4]]),
n_times=10,
n_steps=100,
expected=(2, 10, 2),
atol=1e-6,
),
]
return self.generate_tests(smoke_data)
def geodesic_with_log_connection_test_data(self):
smoke_data = [
dict(
dim=2,
point=gs.array([1.0, gs.pi / 2]),
end_point=gs.array([gs.pi / 3, gs.pi / 4]),
n_times=10,
n_steps=10,
expected=(10, 2),
atol=1e-6,
),
dict(
dim=2,
point=gs.array([[1.0, gs.pi / 2], [gs.pi / 6, gs.pi / 3]]),
end_point=gs.array([[gs.pi / 3, gs.pi / 4], [gs.pi / 2, gs.pi / 4]]),
n_times=10,
n_steps=100,
expected=(2, 10, 2),
atol=1e-6,
),
]
return self.generate_tests(smoke_data)
def geodesic_and_coincides_exp_test_data(self):
smoke_data = [
dict(
space=Hypersphere(2),
n_geodesic_points=10,
vector=gs.array([[2.0, 0.0, -1.0]] * 2),
),
dict(
space=SpecialOrthogonal(n=4),
n_geodesic_points=10,
vector=gs.random.rand(2, 4, 4),
),
]
return self.generate_tests(smoke_data)
def geodesic_invalid_initial_conditions_test_data(self):
smoke_data = [dict(space=SpecialOrthogonal(n=4))]
return self.generate_tests(smoke_data)
def geodesic_test_data(self):
smoke_data = [dict(space=Hypersphere(2))]
return self.generate_tests(smoke_data)
def ladder_alpha_test_data(self):
smoke_data = [dict(dim=2, n_samples=2)]
return self.generate_tests(smoke_data)