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rerun notebooks
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+36
-24
lines changed

5 files changed

+36
-24
lines changed

notebooks/10_scene.ipynb

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"cells": [
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{
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"cell_type": "code",
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"execution_count": 15,
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"PyThreeJS Model elements registered.\n",
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"PyThreeJS SceneObjects registered.\n",
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"TNA Notebook SceneObjects registered.\n"
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]
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},
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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "c238c41d3c4c40cab23ad94bc43826cb",
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"model_id": "b5ce6de7f39549fb838415c3e202a765",
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"version_major": 2,
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"version_minor": 0
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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": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<Tree with 3 nodes>\n"
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"<Tree with 3 nodes>\n",
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"└── <TreeNode: ROOT>\n",
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" ├── <ThreeBoxObject: Box>\n",
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" └── <ThreeMeshObject: Mesh>\n"
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]
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}
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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": 6,
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"metadata": {},
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"outputs": [
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{
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"<TreeNode: ROOT>"
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]
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},
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"execution_count": 20,
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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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": 7,
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"metadata": {},
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"outputs": [
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{
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"[<ThreeBoxObject: Box>, <ThreeMeshObject: Mesh>]"
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]
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},
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"execution_count": 21,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"<ThreeBoxObject: Box>"
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]
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},
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"execution_count": 22,
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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},
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"<TreeNode: ROOT>"
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]
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},
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"execution_count": 23,
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.10"
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"version": "3.12.1"
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}
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},
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"nbformat": 4,

notebooks/20_geometry.ipynb

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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "b35465690efb4ca0b49f14eed9056963",
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"model_id": "1f3944f157e743a6bc086c5e13d6e644",
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"version_major": 2,
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"version_minor": 0
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.10"
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"version": "3.12.1"
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}
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},
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"nbformat": 4,

notebooks/30_shapes.ipynb

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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "6003d61fe7e94edc8bf51749ff8792d2",
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"model_id": "de921721a59e469f8275297949811ae8",
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"version_major": 2,
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.10"
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"version": "3.12.1"
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}
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},
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"nbformat": 4,

notebooks/60_breps.ipynb

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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "47bf97db5a45479f9a9873245f129932",
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"model_id": "b80a99cf294945a8ae72687546d1b54a",
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"version_major": 2,
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"version_minor": 0
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.10"
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"version": "3.12.1"
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}
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},
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"nbformat": 4,

notebooks/70_graphs.ipynb

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{
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"data": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "8d7996e04a9f471b9aa7868801f32ad0",
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"model_id": "438feb1fb31d4437aebde1d9374cb673",
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"version_major": 2,
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"version_minor": 0
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.10"
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"version": "3.12.1"
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}
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},
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"nbformat": 4,

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