Trying pre-commit to see if it fixes the imports

compSPI · Apr 2, 2022 · b251e5c · b251e5c
1 parent d51f0bc
commit b251e5c
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Showing 2 changed files with 5 additions and 6 deletions.
diff --git a/reconstructSPI/iterative_refinement/expectation_maximization.py b/reconstructSPI/iterative_refinement/expectation_maximization.py
@@ -1,7 +1,6 @@
 """Iterative refinement with Bayesian expectation maximization."""
 
 import numpy as np
-
 from geomstats.geometry import special_orthogonal
 from simSPI.transfer import eval_ctf
 
@@ -205,7 +204,7 @@ def normalize_map(map_3d, counts, norm_const):
             Shape (n_pix, n_pix, n_pix)
             map normalized by counts.
         """
-        return map_3d * counts / (norm_const + counts**2)
+        return map_3d * counts / (norm_const + counts ** 2)
 
     @staticmethod
     def apply_noise_model(map_3d_f_norm_1, map_3d_f_norm_2):
@@ -360,7 +359,7 @@ def generate_slices(map_3d_f, xy_plane, n_pix, rots):
         map_3d_f = np.ones_like(map_3d_f)
         xyz_rotated = np.ones_like(xy_plane)
 
-        size = n_rotations * n_pix**2
+        size = n_rotations * n_pix ** 2
         slices = np.random.normal(size=size)
         slices = slices.reshape((n_rotations, n_pix, n_pix))
         return slices, xyz_rotated

diff --git a/tests/test_expectation_maximization.py b/tests/test_expectation_maximization.py
@@ -90,7 +90,7 @@ def test_grid_SO3_uniform(test_ir, n_particles):
 def test_generate_xy_plane(test_ir, n_pix):
     """Test generation of xy plane."""
     xy_plane = test_ir.generate_xy_plane(n_pix)
-    assert xy_plane.shape == (n_pix**2, 3)
+    assert xy_plane.shape == (n_pix ** 2, 3)
 
 
 def test_generate_slices(test_ir, n_particles, n_pix):
@@ -101,9 +101,9 @@ def test_generate_slices(test_ir, n_particles, n_pix):
 
     slices, xyz_rotated = test_ir.generate_slices(map_3d, xy_plane, n_pix, rots)
 
-    assert xy_plane.shape == (n_pix**2, 3)
+    assert xy_plane.shape == (n_pix ** 2, 3)
     assert slices.shape == (n_particles, n_pix, n_pix)
-    assert xyz_rotated.shape == (n_pix**2, 3)
+    assert xyz_rotated.shape == (n_pix ** 2, 3)
 
 
 def test_apply_ctf_to_slice(test_ir, n_pix):