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DerThorstenDerThorsten
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removed notebook output
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‎examples/batch_drawing.ipynb‎

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@@ -11,7 +11,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 46,
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"execution_count": null,
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"id": "3ea1b15d-478b-41a2-83a1-3e66e5ff5d24",
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"metadata": {},
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"outputs": [],
@@ -33,25 +33,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 45,
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"execution_count": null,
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"id": "7de46419-aefa-4039-a27c-ad92f903a5ff",
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"metadata": {},
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"outputs": [
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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": "4f16d21e2fa442d9b215ed9f5c7b7ef3",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_rects = 1000\n",
@@ -78,25 +63,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 47,
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"execution_count": null,
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"id": "f051cd10-5cf3-4a6f-bcb3-d10d5528c185",
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"metadata": {},
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"outputs": [
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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": "b9af46082601430fabb28f7dc57484a7",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_rects = 1000\n",
@@ -127,27 +97,12 @@
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},
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{
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"cell_type": "code",
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"execution_count": 48,
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"execution_count": null,
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"id": "82b532b6-06b0-4255-b4fa-e03a6363ddf0",
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"metadata": {
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"tags": []
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},
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"outputs": [
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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": "2d3f918019954eb49bf2e2985a2f152c",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"# draw n circles with and random radii, random colors, and random alpha values\n",
@@ -177,25 +132,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 49,
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"execution_count": null,
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"id": "ce545eee-d9c0-47ab-afb7-274fa22389cd",
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"metadata": {},
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"outputs": [
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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": "11134765d61041fd9395b155ef309910",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_circles = 1000\n",
@@ -222,25 +162,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 50,
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"execution_count": null,
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"id": "e36c1407-9a46-42fa-b06a-1a8283feee86",
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"metadata": {},
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"outputs": [
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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": "66ae6bd2dbfe4d4eb530b33054e1d2ba",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_circles = 1000\n",
@@ -275,25 +200,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 51,
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"execution_count": null,
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"id": "1e4431ab-e064-448d-ab72-decba895bb7c",
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"metadata": {},
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"outputs": [
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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": "61b1d04c125d4420bebae9650ed99c58",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_circles = 20\n",
@@ -325,25 +235,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 52,
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"execution_count": null,
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"id": "885a5ec6-06a8-4430-815e-63c06f6fa2cb",
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"metadata": {},
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"outputs": [
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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": "8efa7e28168e4da1a69045f4865a68e3",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"n_polygons = 50\n",
@@ -382,25 +277,10 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": null,
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"id": "6bf31d36-01af-484c-9360-b97f504532a2",
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"metadata": {},
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"outputs": [
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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": "8915993f0f1a4f128ba7871a858cf99f",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=300, width=800)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=800, height=300)\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"execution_count": null,
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"id": "34643bf9-d9d9-4296-aa02-67531e6f500f",
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"metadata": {
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"tags": []
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},
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"outputs": [
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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": "751412241a3c4294a8323f61cd77e8f3",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=400, width=400)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=400, height=400)\n",
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"\n",
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"execution_count": null,
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"id": "272deb5a-fc18-44b0-af01-04f3afb28247",
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"metadata": {},
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"outputs": [
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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": "3af7556653c44b7ca378466c438d2016",
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"version_major": 2,
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"version_minor": 0
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},
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"text/plain": [
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"Canvas(height=400, width=400)"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"outputs": [],
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"source": [
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"canvas = Canvas(width=400, height=400)\n",
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"n_polygons = 20\n",
@@ -555,4 +405,4 @@
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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}

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