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update: notebooks
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notebooks/example.api.high.ipynb

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{
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"data": {
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"text/plain": [
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"<pywarper.warpers.Warper at 0x11fe1b390>"
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"<pywarper.warpers.Warper at 0x11ecc9c50>"
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]
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},
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"execution_count": 4,
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"text": [
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"[pywarper] Building mapping …\n",
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"↳ mapping ON (min) surface …\n",
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" done in 0.29 seconds.\n",
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" done in 0.27 seconds.\n",
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"↳ mapping OFF (max) surface …\n",
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" done in 0.30 seconds.\n"
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" done in 0.27 seconds.\n"
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"data": {
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"text/plain": [
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"<pywarper.warpers.Warper at 0x11fe1b390>"
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"<pywarper.warpers.Warper at 0x11ecc9c50>"
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"execution_count": 5,
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"output_type": "stream",
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"text": [
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"[pywarper] Warping skeleton...\n",
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" done in 1.45 seconds.\n",
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" done in 1.42 seconds.\n",
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"[skeliner] Warning: 58 nodes have zero radius; they were ignored when picking the estimator.\n"
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"data": {
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"text/plain": [
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"<pywarper.warpers.Warper at 0x11fe1b390>"
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"<pywarper.warpers.Warper at 0x11ecc9c50>"
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"execution_count": 6,
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x121796d10>"
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"<matplotlib.legend.Legend at 0x11f46add0>"
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"execution_count": 9,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Last updated: 2025-09-10 12:23:51CEST\n",
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"Last updated: 2025-09-11 16:39:41CEST\n",
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"\n",
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"Python implementation: CPython\n",
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"Python version : 3.11.11\n",
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"IPython version : 9.3.0\n",
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"\n",
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"pywarper : 0.2.3\n",
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"skeliner : 0.1.14\n",
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"matplotlib: 3.10.3\n",
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"numpy : 2.2.6\n",
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"skeliner : 0.1.14\n",
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"pywarper : 0.2.2\n",
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"\n",
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"Watermark: 2.5.0\n",
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"\n"

notebooks/example.api.low.ipynb

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"output_type": "stream",
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"text": [
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"↳ mapping ON (min) surface …\n",
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" done in 0.06 seconds.\n",
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" done in 0.07 seconds.\n",
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"↳ mapping OFF (max) surface …\n",
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" done in 0.05 seconds.\n"
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" done in 0.08 seconds.\n"
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}
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"output_type": "stream",
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"text": [
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"[pywarper] Warping skeleton...\n",
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" done in 1.42 seconds.\n",
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" done in 1.96 seconds.\n",
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"[skeliner] Warning: 58 nodes have zero radius; they were ignored when picking the estimator.\n"
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}
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 7,
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"id": "45f5a1d0",
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"metadata": {},
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "13697fb5",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<matplotlib.legend.Legend at 0x115783bd0>"
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"<matplotlib.legend.Legend at 0x11810d2d0>"
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"execution_count": 8,
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Last updated: 2025-09-10 12:22:21CEST\n",
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"Last updated: 2025-09-11 16:39:10CEST\n",
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"\n",
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"Python implementation: CPython\n",
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"Python version : 3.11.11\n",
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"IPython version : 9.3.0\n",
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"\n",
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"pywarper : 0.2.3\n",
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"skeliner : 0.1.14\n",
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"matplotlib: 3.10.3\n",
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"numpy : 2.2.6\n",
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"skeliner : 0.1.14\n",
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"pywarper : 0.2.2\n",
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"\n",
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"Watermark: 2.5.0\n",
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"\n"

uv.lock

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