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sty: pacify flake8
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nitransforms/interp/bspline.py

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#
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### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
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"""Interpolate with 3D tensor-product B-Spline basis."""
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import numpy as np
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import nibabel as nb
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from scipy.sparse import csr_matrix, kron

nitransforms/tests/test_nonlinear.py

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@@ -243,4 +243,3 @@ def manual_map(x):
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pts = np.array([[1.2, 1.5, 2.0], [3.3, 1.7, 2.4]])
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expected = np.vstack([manual_map(p) for p in pts])
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assert np.allclose(bspline.map(pts), expected, atol=1e-6)
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