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Add human readable ids to test #485

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merged 8 commits into from
Nov 12, 2024
Merged

Add human readable ids to test #485

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bbdb428
add parameterize ids
fzimmermann89 Oct 27, 2024
cf2265f
review
fzimmermann89 Nov 9, 2024
643a431
review
fzimmermann89 Nov 10, 2024
071b049
rename test
fzimmermann89 Nov 11, 2024
265339a
Merge branch 'main' into ids
fzimmermann89 Nov 11, 2024
9525f95
Merge branch 'main' into ids
fzimmermann89 Nov 12, 2024
5222fb1
Merge branch 'main' into ids
fzimmermann89 Nov 12, 2024
7e12011
Merge branch 'main' into ids
fzimmermann89 Nov 12, 2024
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3 changes: 2 additions & 1 deletion tests/algorithms/test_cg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,8 @@
(1, 32, False),
(4, 32, True),
(4, 32, False),
]
],
ids=['complex_single', 'real_single', 'complex_batch', 'real_batch'],
)
def system(request):
"""Generate data for creating a system Hx=b with linear and self-adjoint
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300 changes: 151 additions & 149 deletions tests/conftest.py
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Original file line number Diff line number Diff line change
Expand Up @@ -233,178 +233,180 @@ def create_uniform_traj(nk, k_shape):
return k


def create_traj(k_shape, nkx, nky, nkz, sx, sy, sz):
def create_traj(k_shape, nkx, nky, nkz, type_kx, type_ky, type_kz):
"""Create trajectory with random entries."""
random_generator = RandomGenerator(seed=0)
k_list = []
for spacing, nk in zip([sz, sy, sx], [nkz, nky, nkx], strict=True):
if spacing == 'nuf':
for spacing, nk in zip([type_kz, type_ky, type_kx], [nkz, nky, nkx], strict=True):
if spacing == 'non-uniform':
k = random_generator.float32_tensor(size=nk)
elif spacing == 'uf':
elif spacing == 'uniform':
k = create_uniform_traj(nk, k_shape=k_shape)
elif spacing == 'z':
elif spacing == 'zero':
k = torch.zeros(nk)
k_list.append(k)
trajectory = KTrajectory(k_list[0], k_list[1], k_list[2], repeat_detection_tolerance=None)
return trajectory


COMMON_MR_TRAJECTORIES = pytest.mark.parametrize(
('im_shape', 'k_shape', 'nkx', 'nky', 'nkz', 'sx', 'sy', 'sz', 's0', 's1', 's2'),
('im_shape', 'k_shape', 'nkx', 'nky', 'nkz', 'type_kx', 'type_ky', 'type_kz', 'type_k0', 'type_k1', 'type_k2'),
[
# (0) 2d cart mri with 1 coil, no oversampling
(
(1, 1, 1, 96, 128), # img shape
(1, 1, 1, 96, 128), # k shape
(1, 1, 1, 128), # kx
(1, 1, 96, 1), # ky
(1, 1, 1, 1), # kz
'uf', # kx is uniform
'uf', # ky is uniform
'z', # zero so no Fourier transform is performed along that dimension
'uf', # k0 is uniform
'uf', # k1 is uniform
'z', # k2 is singleton
( # (0) 2d Cartesian single coil, no oversampling
(1, 1, 1, 96, 128), # im_shape
(1, 1, 1, 96, 128), # k_shape
(1, 1, 1, 128), # nkx
(1, 1, 96, 1), # nky
(1, 1, 1, 1), # nkz
'uniform', # type_kx
'uniform', # type_ky
'zero', # type_kz
'uniform', # type_k0
'uniform', # type_k1
'zero', # type_k2
),
# (1) 2d cart mri with 1 coil, with oversampling
(
(1, 1, 1, 96, 128),
(1, 1, 1, 128, 192),
(1, 1, 1, 192),
(1, 1, 128, 1),
(1, 1, 1, 1),
'uf',
'uf',
'z',
'uf',
'uf',
'z',
( # (1) 2d Cartesian single coil, with oversampling
(1, 1, 1, 96, 128), # im_shape
(1, 1, 1, 128, 192), # k_shape
(1, 1, 1, 192), # nkx
(1, 1, 128, 1), # nky
(1, 1, 1, 1), # nkz
'uniform', # type_kx
'uniform', # type_ky
'zero', # type_kz
'uniform', # type_k0
'uniform', # type_k1
'zero', # type_k2
),
# (2) 2d non-Cartesian mri with 2 coils
(
(1, 2, 1, 96, 128),
(1, 2, 1, 16, 192),
(1, 1, 16, 192),
(1, 1, 16, 192),
(1, 1, 1, 1),
'nuf', # kx is non-uniform
'nuf',
'z',
'nuf',
'nuf',
'z',
( # (2) 2d non-Cartesian mri with 2 coils
(1, 2, 1, 96, 128), # im_shape
(1, 2, 1, 16, 192), # k_shape
(1, 1, 16, 192), # nkx
(1, 1, 16, 192), # nky
(1, 1, 1, 1), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'zero', # type_kz
'non-uniform', # type_k0
'non-uniform', # type_k1
'zero', # type_k2
),
# (3) 2d cart mri with irregular sampling
(
(1, 1, 1, 96, 128),
(1, 1, 1, 1, 192),
(1, 1, 1, 192),
(1, 1, 1, 192),
(1, 1, 1, 1),
'uf',
'uf',
'z',
'uf',
'z',
'z',
( # (3) 2d Cartesian with irregular sampling
(1, 1, 1, 96, 128), # im_shape
(1, 1, 1, 1, 192), # k_shape
(1, 1, 1, 192), # nkx
(1, 1, 1, 192), # nky
(1, 1, 1, 1), # nkz
'uniform', # type_kx
'uniform', # type_ky
'zero', # type_kz
'uniform', # type_k0
'zero', # type_k1
'zero', # type_k2
),
# (4) 2d single shot spiral
(
(1, 2, 1, 96, 128),
(1, 1, 1, 1, 192),
(1, 1, 1, 192),
(1, 1, 1, 192),
(1, 1, 1, 1),
'nuf',
'nuf',
'z',
'nuf',
'z',
'z',
( # (4) 2d single shot spiral
(1, 2, 1, 96, 128), # im_shape
(1, 1, 1, 1, 192), # k_shape
(1, 1, 1, 192), # nkx
(1, 1, 1, 192), # nky
(1, 1, 1, 1), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'zero', # type_kz
'non-uniform', # type_k0
'zero', # type_k1
'zero', # type_k2
),
# (5) 3d nuFFT mri, 4 coils, 2 other
(
(2, 4, 16, 32, 64),
(2, 4, 16, 32, 64),
(2, 16, 32, 64),
(2, 16, 32, 64),
(2, 16, 32, 64),
'nuf',
'nuf',
'nuf',
'nuf',
'nuf',
'nuf',
( # (5) 3d non-uniform, 4 coils, 2 other
(2, 4, 16, 32, 64), # im_shape
(2, 4, 16, 32, 64), # k_shape
(2, 16, 32, 64), # nkx
(2, 16, 32, 64), # nky
(2, 16, 32, 64), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'non-uniform', # type_kz
'non-uniform', # type_k0
'non-uniform', # type_k1
'non-uniform', # type_k2
),
# (6) 2d nuFFT cine mri with 8 cardiac phases, 5 coils
(
(8, 5, 1, 64, 64),
(8, 5, 1, 18, 128),
(8, 1, 18, 128),
(8, 1, 18, 128),
(8, 1, 1, 1),
'nuf',
'nuf',
'z',
'nuf',
'nuf',
'z',
( # (6) 2d non-uniform cine with 8 cardiac phases, 5 coils
(8, 5, 1, 64, 64), # im_shape
(8, 5, 1, 18, 128), # k_shape
(8, 1, 18, 128), # nkx
(8, 1, 18, 128), # nky
(8, 1, 1, 1), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'zero', # type_kz
'non-uniform', # type_k0
'non-uniform', # type_k1
'zero', # type_k2
),
# (7) 2d cart cine mri with 9 cardiac phases, 6 coils
(
(9, 6, 1, 96, 128),
(9, 6, 1, 128, 192),
(9, 1, 1, 192),
(9, 1, 128, 1),
(9, 1, 1, 1),
'uf',
'uf',
'z',
'uf',
'uf',
'z',
( # (7) 2d cartesian cine with 9 cardiac phases, 6 coils
(9, 6, 1, 96, 128), # im_shape
(9, 6, 1, 128, 192), # k_shape
(9, 1, 1, 192), # nkx
(9, 1, 128, 1), # nky
(9, 1, 1, 1), # nkz
'uniform', # type_kx
'uniform', # type_ky
'zero', # type_kz
'uniform', # type_k0
'uniform', # type_k1
'zero', # type_k2
),
# (8) radial phase encoding (RPE), 8 coils, with oversampling in both FFT and nuFFT directions
(
(2, 8, 64, 32, 48),
(2, 8, 8, 64, 96),
(2, 1, 1, 96),
(2, 8, 64, 1),
(2, 8, 64, 1),
'uf',
'nuf',
'nuf',
'uf',
'nuf',
'nuf',
( # (8) radial phase encoding (RPE), 8 coils, with oversampling in both FFT and non-uniform directions
(2, 8, 64, 32, 48), # im_shape
(2, 8, 8, 64, 96), # k_shape
(2, 1, 1, 96), # nkx
(2, 8, 64, 1), # nky
(2, 8, 64, 1), # nkz
'uniform', # type_kx
'non-uniform', # type_ky
'non-uniform', # type_kz
'uniform', # type_k0
'non-uniform', # type_k1
'non-uniform', # type_k2
),
# (9) radial phase encoding (RPE) , 8 coils with non-Cartesian sampling along readout
(
(2, 8, 64, 32, 48),
(2, 8, 8, 64, 96),
(2, 1, 1, 96),
(2, 8, 64, 1),
(2, 8, 64, 1),
'nuf',
'nuf',
'nuf',
'nuf',
'nuf',
'nuf',
( # (9) radial phase encoding (RPE), 8 coils with non-Cartesian sampling along readout
(2, 8, 64, 32, 48), # im_shape
(2, 8, 8, 64, 96), # k_shape
(2, 1, 1, 96), # nkx
(2, 8, 64, 1), # nky
(2, 8, 64, 1), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'non-uniform', # type_kz
'non-uniform', # type_k0
'non-uniform', # type_k1
'non-uniform', # type_k2
),
# (10) stack of stars, 5 other, 3 coil, oversampling in both FFT and nuFFT directions
(
(5, 3, 48, 16, 32),
(5, 3, 96, 18, 64),
(5, 1, 18, 64),
(5, 1, 18, 64),
(5, 96, 1, 1),
'nuf',
'nuf',
'uf',
'nuf',
'nuf',
'uf',
( # (10) stack of stars, 5 other, 3 coil, oversampling in both FFT and non-uniform directions
(5, 3, 48, 16, 32), # im_shape
(5, 3, 96, 18, 64), # k_shape
(5, 1, 18, 64), # nkx
(5, 1, 18, 64), # nky
(5, 96, 1, 1), # nkz
'non-uniform', # type_kx
'non-uniform', # type_ky
'uniform', # type_kz
'non-uniform', # type_k0
'non-uniform', # type_k1
'uniform', # type_k2
),
],
ids=[
'2d_cartesian_1_coil_no_oversampling',
'2d_cartesian_1_coil_with_oversampling',
'2d_non_cartesian_mri_2_coils',
'2d_cartesian_irregular_sampling',
'2d_single_shot_spiral',
'3d_nonuniform_4_coils_2_other',
'2d_nnonuniform_cine_mri_8_cardiac_phases_5_coils',
'2d_cartesian_cine_9_cardiac_phases_6_coils',
'radial_phase_encoding_8_coils_with_oversampling',
'radial_phase_encoding_8_coils_non_cartesian_sampling',
'stack_of_stars_5_other_3_coil_with_oversampling',
],
)
8 changes: 4 additions & 4 deletions tests/data/test_rotation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -535,7 +535,7 @@ def _test_stats(error: torch.Tensor, mean_max: float, rms_max: float) -> None:
assert torch.all(rms < rms_max)


@pytest.mark.parametrize('seq_tuple', permutations('xyz'))
@pytest.mark.parametrize('seq_tuple', permutations('xyz'), ids=str)
@pytest.mark.parametrize('intrinsic', [False, True])
def test_as_euler_asymmetric_axes(seq_tuple, intrinsic):
rnd = RandomGenerator(0)
Expand All @@ -555,7 +555,7 @@ def test_as_euler_asymmetric_axes(seq_tuple, intrinsic):
_test_stats(angles_quat - angles, 1e-15, 1e-14)


@pytest.mark.parametrize('seq_tuple', permutations('xyz'))
@pytest.mark.parametrize('seq_tuple', permutations('xyz'), ids=str)
@pytest.mark.parametrize('intrinsic', [False, True])
def test_as_euler_symmetric_axes(seq_tuple, intrinsic):
rnd = RandomGenerator(0)
Expand All @@ -576,7 +576,7 @@ def test_as_euler_symmetric_axes(seq_tuple, intrinsic):
_test_stats(angles_quat - angles, 1e-16, 1e-14)


@pytest.mark.parametrize('seq_tuple', permutations('xyz'))
@pytest.mark.parametrize('seq_tuple', permutations('xyz'), ids=str)
@pytest.mark.parametrize('intrinsic', [False, True])
def test_as_euler_degenerate_asymmetric_axes(seq_tuple, intrinsic):
# Since we cannot check for angle equality, we check for rotation matrix
Expand All @@ -598,7 +598,7 @@ def test_as_euler_degenerate_asymmetric_axes(seq_tuple, intrinsic):
torch.testing.assert_close(mat_expected, mat_estimated)


@pytest.mark.parametrize('seq_tuple', permutations('xyz'))
@pytest.mark.parametrize('seq_tuple', permutations('xyz'), ids=str)
@pytest.mark.parametrize('intrinsic', [False, True])
def test_as_euler_degenerate_symmetric_axes(seq_tuple, intrinsic):
# Since we cannot check for angle equality, we check for rotation matrix
Expand Down
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