From feb2d84fc59bf0215c450a5954cfbff7f936457d Mon Sep 17 00:00:00 2001 From: anushka255 Date: Thu, 14 Nov 2024 21:52:29 -0500 Subject: [PATCH 1/3] checking if the grand sum of pi is less than 1 in case of partial procrustes analysis --- tests/test_visualization.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/tests/test_visualization.py b/tests/test_visualization.py index a10fe6c..cb28816 100644 --- a/tests/test_visualization.py +++ b/tests/test_visualization.py @@ -172,6 +172,8 @@ def test_partial_procrustes_analysis(slices): np.genfromtxt(input_dir / "center_slice1_pairwise.csv", delimiter=",") ).double() + assert torch.sum(pairwise_info) < 0.99999999 + aligned_center, aligned_slice = generalized_procrustes_analysis( torch.Tensor(center_slice.obsm["spatial"]).double(), torch.Tensor(slices[0].obsm["spatial"]).double(), From 3b1787b725238ddadf5c74a278c7d23c356d53e2 Mon Sep 17 00:00:00 2001 From: anushka255 Date: Fri, 15 Nov 2024 00:01:03 -0500 Subject: [PATCH 2/3] added new test 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zeNJZWH7IKx_*)O?(7#PNq@9)`|K`=m+0lB)oimIh_uPg*+BpXf;kZ|{^DxKv+d8mF zYjqIgysrz%-?u1(@xPrZB-+se31VBRDwie&s4nyK04?UAp8wg~K~}^^=d9F;i@bW^ zTJf)*o!}tXULDKLRtyelQ|ekqI-16c}+Hst35H>AEI#qmZbsbE-tc z(kc5aLIq_7R7!irZOB$%n>jWwgN^RL)=V&`N6a#JFx^nV3H6&KQ=AvH;|E4t;FbjP zBO8BhHm^XQ%wgxoDFHI$K2=l8GmxF3(@>a=4Dw@Mv{|$0gh%9{F2#%#F+vOsX(Sr) zZ`(^8955VTmXgVOp*)+_50?$}eR|UCsp*{m>Nv3CR|Gu-p%*j#vS;nG0aZpO=fuXP tBqgM>;{Q*zz}GOHp&|&qJg>SQYeeQeuWIzqfk*_2P~aW%tSMxI_#142VRQfh literal 0 HcmV?d00001 diff --git a/tests/test_visualization.py b/tests/test_visualization.py index cb28816..47484ab 100644 --- a/tests/test_visualization.py +++ b/tests/test_visualization.py @@ -165,29 +165,16 @@ def test_partial_stack_slices_pairwise(slices): ) -def test_partial_procrustes_analysis(slices): - center_slice = sc.read_h5ad(input_dir / "center_slice.h5ad") - - pairwise_info = torch.Tensor( - np.genfromtxt(input_dir / "center_slice1_pairwise.csv", delimiter=",") - ).double() +def test_partial_procrustes_analysis(slices2): + data = np.load(output_dir / "partial_procrustes_analysis.npz") - assert torch.sum(pairwise_info) < 0.99999999 + assert torch.sum(torch.Tensor(data["pi"])) < 0.99999999 - aligned_center, aligned_slice = generalized_procrustes_analysis( - torch.Tensor(center_slice.obsm["spatial"]).double(), - torch.Tensor(slices[0].obsm["spatial"]).double(), - pairwise_info, + x_aligned, y_aligned = generalized_procrustes_analysis( + torch.Tensor(slices2[0].obsm["spatial"]).double(), + torch.Tensor(slices2[1].obsm["spatial"]).double(), + torch.Tensor(data["pi"]).double(), is_partial=True, ) - - assert_frame_equal( - pd.DataFrame(aligned_center, columns=["0", "1"]), - pd.read_csv(output_dir / "aligned_center.csv"), - atol=1e-6, - ) - assert_frame_equal( - pd.DataFrame(aligned_slice, columns=["0", "1"]), - pd.read_csv(output_dir / "aligned_slice.csv"), - atol=1e-6, - ) + assert np.allclose(x_aligned, data["x_aligned"]) + assert np.allclose(y_aligned, data["y_aligned"]) From 5493ffae96d5e254480e84e977b65718d93f1e32 Mon Sep 17 00:00:00 2001 From: anushka255 Date: Fri, 15 Nov 2024 00:12:44 -0500 Subject: [PATCH 3/3] fixed the bug in generalized procrustes analysis and added tolerance in the test case --- src/paste3/visualization.py | 17 ++++++++++------- tests/test_visualization.py | 4 ++-- 2 files changed, 12 insertions(+), 9 deletions(-) diff --git a/src/paste3/visualization.py b/src/paste3/visualization.py index 8382ea5..b02308b 100644 --- a/src/paste3/visualization.py +++ b/src/paste3/visualization.py @@ -254,13 +254,16 @@ def generalized_procrustes_analysis( assert target_coordinates.shape[1] == 2 weighted_source = pi.sum(axis=1).matmul(source_coordinates) - weighted_targed = pi.sum(axis=0).matmul(target_coordinates) - source_coordinates = source_coordinates - weighted_source - target_coordinates = target_coordinates - weighted_targed + weighted_target = pi.sum(axis=0).matmul(target_coordinates) + if is_partial: m = torch.sum(pi) - source_coordinates = source_coordinates * (1.0 / m) - target_coordinates = target_coordinates * (1.0 / m) + weighted_source = weighted_source * (1.0 / m) + weighted_target = weighted_target * (1.0 / m) + + source_coordinates = source_coordinates - weighted_source + target_coordinates = target_coordinates - weighted_target + covariance_matrix = target_coordinates.T.matmul(pi.T.matmul(source_coordinates)) U, S, Vt = torch.linalg.svd(covariance_matrix, full_matrices=True) rotation_matrix = Vt.T.matmul(U.T) @@ -275,7 +278,7 @@ def generalized_procrustes_analysis( target_coordinates, rotation_angle, weighted_source, - weighted_targed, + weighted_target, ) if return_params and return_as_matrix: return ( @@ -283,6 +286,6 @@ def generalized_procrustes_analysis( target_coordinates, rotation_matrix, weighted_source, - weighted_targed, + weighted_target, ) return source_coordinates, target_coordinates diff --git a/tests/test_visualization.py b/tests/test_visualization.py index 47484ab..6894e61 100644 --- a/tests/test_visualization.py +++ b/tests/test_visualization.py @@ -176,5 +176,5 @@ def test_partial_procrustes_analysis(slices2): torch.Tensor(data["pi"]).double(), is_partial=True, ) - assert np.allclose(x_aligned, data["x_aligned"]) - assert np.allclose(y_aligned, data["y_aligned"]) + assert np.allclose(x_aligned.cpu().numpy(), data["x_aligned"]) + assert np.allclose(y_aligned.cpu().numpy(), data["y_aligned"], atol=1e-06)