diff --git a/.github/workflows/main.yaml b/.github/workflows/main.yaml index 4caec5b..19e5d68 100644 --- a/.github/workflows/main.yaml +++ b/.github/workflows/main.yaml @@ -28,7 +28,7 @@ jobs: matrix: platform: [ "ubuntu-latest", "macos-latest", "windows-latest" ] python-version: [ "3.10", "3.11", "3.12", "3.13" ] - poetry-version: [ "2.0.1" ] + poetry-version: [ "2.1.4" ] steps: - name: Checkout project diff --git a/csaps/_sspumv.py b/csaps/_sspumv.py index 3f3f5de..57c22db 100644 --- a/csaps/_sspumv.py +++ b/csaps/_sspumv.py @@ -3,7 +3,7 @@ """ from typing import Literal, cast -import functools +from functools import partial import numpy as np from scipy.interpolate import PPoly @@ -14,6 +14,9 @@ from ._reshape import prod, to_2d from ._types import FloatNDArrayType, MultivariateDataType, UnivariateDataType +diags_csr = partial(sp.diags, format='csr') +vpad = partial(np.pad, pad_width=[(1, 1), (0, 0)], mode='constant') + class SplinePPForm(ISplinePPForm[np.ndarray, int], PPoly): """The base class for univariate/multivariate spline in piecewise polynomial form @@ -282,13 +285,13 @@ def _make_spline(x, y, w, smooth, shape, normalizedsmooth): # Create diagonal sparse matrices diags_r = np.vstack((dx[1:], 2 * (dx[1:] + dx[:-1]), dx[:-1])) - r = sp.spdiags(diags_r, [-1, 0, 1], pcount - 2, pcount - 2) + r = sp.spdiags(diags_r, [-1, 0, 1], pcount - 2, pcount - 2, format='csr') dx_recip = 1.0 / dx diags_qtw = np.vstack((dx_recip[:-1], -(dx_recip[1:] + dx_recip[:-1]), dx_recip[1:])) diags_sqrw_recip = 1.0 / np.sqrt(w) - qtw = sp.diags(diags_qtw, [0, 1, 2], (pcount - 2, pcount)) @ sp.diags(diags_sqrw_recip, 0, (pcount, pcount)) + qtw = diags_csr(diags_qtw, [0, 1, 2], (pcount - 2, pcount)) @ diags_csr(diags_sqrw_recip, 0, (pcount, pcount)) qtw = qtw @ qtw.T p = smooth @@ -312,13 +315,11 @@ def _make_spline(x, y, w, smooth, shape, normalizedsmooth): dx = dx[:, np.newaxis] - vpad = functools.partial(np.pad, pad_width=[(1, 1), (0, 0)], mode='constant') - d1 = np.diff(vpad(u), axis=0) / dx d2 = np.diff(vpad(d1), axis=0) diags_w_recip = 1.0 / w - w = sp.diags(diags_w_recip, 0, (pcount, pcount)) + w = diags_csr(diags_w_recip, 0, (pcount, pcount)) yi = y.T - (pp * w) @ d2 pu = vpad(p * u) diff --git a/poetry.lock b/poetry.lock index bc48fe9..86766c3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.0.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.1.4 and should not be changed by hand. 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