unfinished room parameter input
This commit is contained in:
markus
parent
f308c9d287
commit
ba257465c4
2 changed files with 64 additions and 42 deletions
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@ -15,7 +15,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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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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@ -28,9 +28,21 @@
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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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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'cara'",
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"output_type": "error",
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"traceback": [
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"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[0;31mModuleNotFoundError\u001B[0m Traceback (most recent call last)",
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"\u001B[0;32m<ipython-input-9-4b5d4c4413b1>\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[0;32m----> 1\u001B[0;31m \u001B[0;32mimport\u001B[0m \u001B[0mcara\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmodels\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 2\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 3\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 4\u001B[0m \u001B[0;32mdef\u001B[0m \u001B[0mprepare_model\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mvolume\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mn_infected\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mn_exposed\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;36m10\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0mmask\u001B[0m\u001B[0;34m=\u001B[0m\u001B[0;34m'Type I'\u001B[0m\u001B[0;34m)\u001B[0m \u001B[0;34m->\u001B[0m \u001B[0mcara\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mmodels\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mModel\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 5\u001B[0m \"\"\"\n",
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"\u001B[0;31mModuleNotFoundError\u001B[0m: No module named 'cara'"
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]
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}
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],
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"source": [
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"import cara.models\n",
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"\n",
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@ -59,7 +71,7 @@
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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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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -70,7 +82,7 @@
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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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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -93,13 +105,13 @@
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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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"execution_count": 12,
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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": "eb109c0f63e149d69e763aec5d404db2",
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"model_id": "f18dd83234d345e39f3e841dec017ff8",
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"version_major": 2,
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"version_minor": 0
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},
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@ -125,13 +137,13 @@
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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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"execution_count": 13,
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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": "49ad604786f546f58dba54f1f6e7eded",
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"model_id": "45619847b1a9413f8c864775e597d515",
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"version_major": 2,
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"version_minor": 0
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},
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@ -175,22 +187,20 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 14,
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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": "8e76a49d0212462d81200a3959dcd3ff",
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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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"Accordion(children=(VBox(children=(HBox(children=(Canvas(footer_visible=False, header_visible=False, toolbar=T…"
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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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"ename": "NameError",
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"evalue": "name 'prepare_model' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
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"\u001B[0;31mNameError\u001B[0m Traceback (most recent call last)",
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"\u001B[0;32m<ipython-input-14-30d890ac3193>\u001B[0m in \u001B[0;36m<module>\u001B[0;34m\u001B[0m\n\u001B[1;32m 48\u001B[0m \u001B[0mobservable\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mobserve\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mplot_concentrations\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 49\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 50\u001B[0;31m \u001B[0mplot_concentrations\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;36m1\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 51\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 52\u001B[0m \u001B[0mfig\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mcanvas\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mtoolbar_visible\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0;32mTrue\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
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"\u001B[0;32m<ipython-input-14-30d890ac3193>\u001B[0m in \u001B[0;36mplot_concentrations\u001B[0;34m(_)\u001B[0m\n\u001B[1;32m 8\u001B[0m \u001B[0;32mdef\u001B[0m \u001B[0mplot_concentrations\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0m_\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m:\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 9\u001B[0m \u001B[0;32mglobal\u001B[0m \u001B[0mline\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0;32m---> 10\u001B[0;31m \u001B[0mmodel\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mprepare_model\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0mroom_volume\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0mvalue\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n\u001B[0m\u001B[1;32m 11\u001B[0m \u001B[0;34m\u001B[0m\u001B[0m\n\u001B[1;32m 12\u001B[0m \u001B[0mts\u001B[0m \u001B[0;34m=\u001B[0m \u001B[0mnp\u001B[0m\u001B[0;34m.\u001B[0m\u001B[0marange\u001B[0m\u001B[0;34m(\u001B[0m\u001B[0;36m0\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;36m10.\u001B[0m\u001B[0;34m,\u001B[0m \u001B[0;36m0.01\u001B[0m\u001B[0;34m)\u001B[0m\u001B[0;34m\u001B[0m\u001B[0;34m\u001B[0m\u001B[0m\n",
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"\u001B[0;31mNameError\u001B[0m: name 'prepare_model' is not defined"
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]
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}
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],
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"source": [
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@ -283,7 +293,7 @@
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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": "3.6.12"
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"version": "3.8.5"
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}
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},
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"nbformat": 4,
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@ -2,10 +2,8 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 20,
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"metadata": {
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"collapsed": true
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},
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"execution_count": 49,
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"metadata": {},
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"outputs": [],
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"source": [
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"import ipywidgets as w"
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@ -13,7 +11,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"execution_count": 68,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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@ -26,7 +24,7 @@
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "10803f4b11064714b63f45f2e23cc902"
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"model_id": "61c53e6d9b58415097dce93a3a0e96c7"
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}
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},
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"metadata": {},
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@ -43,23 +41,37 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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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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"Text(value='test', placeholder='Simulation name')\n"
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]
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}
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],
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"source": [],
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"execution_count": 74,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": "VBox(children=(Text(value='', placeholder='Room volume (m³)'), Label(value='OR'), Text(value='', placeholder='…",
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "bea9900594a14d078ab222436b922b5e"
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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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"source": [
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"volume_text = w.Text(placeholder=\"Room volume (m³)\")\n",
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"area_text = w.Text(placeholder=\"Room floor area (m²)\")\n",
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"height_text = w.Text(placeholder=\"Room ceiling height (m²)\")\n",
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"\n",
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"w.jslink((volume_text, 'value'), (area_text, 'disabled'))\n",
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"w.jslink((volume_text, 'value'), (height_text, 'disabled'))\n",
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"w.jslink((area_text, 'value'), (volume_text, 'disabled'))\n",
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"\n",
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"w.VBox(children=(volume_text, w.Label(value=\"OR\"),area_text, height_text), layout=w.Layout(align_items='center'))"
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]
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}
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],
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"metadata": {
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