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777 lines
20 KiB
777 lines
20 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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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": {
|
|
"model_id": "e152547dd69d46fcbcb602cf9f92e50b",
|
|
"version_major": 2,
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|
"version_minor": 0
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},
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"text/plain": [
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"Output()"
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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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"import ipywidgets as widgets\n",
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"from IPython.display import clear_output\n",
|
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"output1 = widgets.Output()\n",
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"output1"
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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": 2,
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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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"hi\n"
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]
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}
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],
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"source": [
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"print(\"hi\")\n",
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"with output1:\n",
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" print(\"in output\")"
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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": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"with output1:\n",
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" raise ValueError(\"trigger msg_type=error\")"
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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": 4,
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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": "44dc393cd7c6461a8c4901f85becfc0e",
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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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"Output()"
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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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"import ipywidgets as widgets\n",
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"output2 = widgets.Output()\n",
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"output2"
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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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"hi2\n"
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]
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}
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],
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"source": [
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"print(\"hi2\")\n",
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"with output2:\n",
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" print(\"in output2\")\n",
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" clear_output(wait=True)"
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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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"data": {
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"application/vnd.jupyter.widget-view+json": {
|
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"model_id": "d6cd7a1de3494d2daff23c6d4ffe42ee",
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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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"Output()"
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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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"import ipywidgets as widgets\n",
|
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"output3 = widgets.Output()\n",
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"output3"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"hi3\n"
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]
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}
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],
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"source": [
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"print(\"hi3\")\n",
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"with output3:\n",
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" print(\"hello\")\n",
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" clear_output(wait=True)\n",
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" print(\"world\")"
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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": 8,
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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": "10517a9d5b1d4ea386945642894dd898",
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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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"Output()"
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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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"import ipywidgets as widgets\n",
|
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"output4 = widgets.Output()\n",
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"output4"
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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": 9,
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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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"hi4\n"
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]
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}
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],
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"source": [
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"print(\"hi4\")\n",
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"with output4:\n",
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" print(\"hello world\")\n",
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" clear_output()"
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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": 10,
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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": {
|
|
"model_id": "37f7ba6a9ecc4c19b519e718cd12aafe",
|
|
"version_major": 2,
|
|
"version_minor": 0
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},
|
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"text/plain": [
|
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"Output()"
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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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"import ipywidgets as widgets\n",
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"output5 = widgets.Output()\n",
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"output5"
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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": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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"print(\"hi5\")\n",
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"with output5:\n",
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" display(\"hello world\") # this is not a stream but plain text\n",
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"clear_output()"
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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": 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": {
|
|
"model_id": "4fb0ee7e557440109c08547514f03c7b",
|
|
"version_major": 2,
|
|
"version_minor": 0
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},
|
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"text/plain": [
|
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"Output()"
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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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"import ipywidgets as widgets\n",
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"output_outer = widgets.Output()\n",
|
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"output_inner = widgets.Output()\n",
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"output_inner"
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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": 13,
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"metadata": {},
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"outputs": [
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|
{
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|
"data": {
|
|
"application/vnd.jupyter.widget-view+json": {
|
|
"model_id": "01ea355e26484c13b1caaaf6d29ac0f2",
|
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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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"Output()"
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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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"output_outer"
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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": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"with output_inner:\n",
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" print('in inner')\n",
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" with output_outer:\n",
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" print('in outer')\n",
|
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" print('also in inner')"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"language": "python"
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},
|
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.7.3"
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},
|
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"widgets": {
|
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"application/vnd.jupyter.widget-state+json": {
|
|
"state": {
|
|
"01ea355e26484c13b1caaaf6d29ac0f2": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_7213e178683c4d0682b3c848a2452cf1",
|
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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": "in outer\n"
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}
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]
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}
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},
|
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"025929abe8a143a08ad23de9e99c610f": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"03c04d8645a74c4dac2e08e2142122a6": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"091f6e59c48442b1bdb13320b4f6605d": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"10517a9d5b1d4ea386945642894dd898": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_2c67de94f62d4887866d22abca7f6f13"
|
|
}
|
|
},
|
|
"106de0ded502439c873de5449248b00c": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"1b9529b98aaf40ccbbf38e178796be88": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"22592f3cb7674cb79cc60def5e8bc060": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"2468aac6020349139ee6236b5dde0310": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_d5e88b6a26114d6da0b7af215aa2c3bb"
|
|
}
|
|
},
|
|
"2955dc9c531c4c6b80086da240d0df13": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_1b9529b98aaf40ccbbf38e178796be88",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
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"output_type": "stream",
|
|
"text": "world\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"2c67de94f62d4887866d22abca7f6f13": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"37f7ba6a9ecc4c19b519e718cd12aafe": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_03c04d8645a74c4dac2e08e2142122a6",
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"text/plain": "'hello world'"
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|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"3945ce528fbf40dc830767281892ea56": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"3c6bb7a6fd4f4f8786d30ef7b2c7c050": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"3e0e8f5d18fe4992b11e1d5c13faecdf": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"44dc393cd7c6461a8c4901f85becfc0e": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_3c6bb7a6fd4f4f8786d30ef7b2c7c050",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output2\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"45823daa739447a6ba5393e45204ec8e": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_3e0e8f5d18fe4992b11e1d5c13faecdf",
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "'hello world'"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"4fa2d1a41bd64017a20e358526ad9cf3": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_6490daaa1d2e42a0aef909e7b8c8eff4",
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": "'hello world'"
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"4fb0ee7e557440109c08547514f03c7b": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_dbf140d66ba247b7847c0f5642b7f607",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in inner\nalso in inner\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"55aff5c4b53f440a868919f042cf9c14": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_a14653416772496aabed04b4719268ef",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in inner\nalso in inner\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"5747ce87279c44519b9df62799e25e6f": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_6ef78dc31eec422ab2afce4be129836f",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output2\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"6490daaa1d2e42a0aef909e7b8c8eff4": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"6ef78dc31eec422ab2afce4be129836f": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"7134e81fdb364a738c1e58b26ec0d008": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_025929abe8a143a08ad23de9e99c610f",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in inner\nalso in inner\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"7213e178683c4d0682b3c848a2452cf1": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"804b6628ca0a48dfbad930615626b1fb": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"a14653416772496aabed04b4719268ef": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"a32671b19b814cf5bd964c36368f9f79": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_c843c22ff72e4983984ca4d62ce68e2b",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in outer\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"aaf673ac9c774aaba4f751db2f3dd6c5": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_106de0ded502439c873de5449248b00c",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output2\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"bc3d9af2591e4a52af73921f46d79efa": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_22592f3cb7674cb79cc60def5e8bc060"
|
|
}
|
|
},
|
|
"c843c22ff72e4983984ca4d62ce68e2b": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"cc022dc8b5584570a04facf68f9bdf0b": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_3945ce528fbf40dc830767281892ea56",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in outer\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"d0cb56db68f2485480da1b2a43ad3c02": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_df4468e2240a430599a01e731472c319",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output\n"
|
|
},
|
|
{
|
|
"ename": "ValueError",
|
|
"evalue": "trigger msg_type=error",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-15-7f84f5558b68>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0moutput1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"trigger msg_type=error\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
|
"\u001b[0;31mValueError\u001b[0m: trigger msg_type=error"
|
|
]
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"d314a6ef74d947f3a2149bdf9b8b57a3": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_804b6628ca0a48dfbad930615626b1fb",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"d5e88b6a26114d6da0b7af215aa2c3bb": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"d6cd7a1de3494d2daff23c6d4ffe42ee": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_091f6e59c48442b1bdb13320b4f6605d",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "world\n"
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"dbf140d66ba247b7847c0f5642b7f607": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"de7ba4c0eed941a3b52fa940387d1415": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"df4468e2240a430599a01e731472c319": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"e152547dd69d46fcbcb602cf9f92e50b": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_de7ba4c0eed941a3b52fa940387d1415",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "in output\n"
|
|
},
|
|
{
|
|
"ename": "ValueError",
|
|
"evalue": "trigger msg_type=error",
|
|
"output_type": "error",
|
|
"traceback": [
|
|
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
|
"\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)",
|
|
"\u001b[0;32m<ipython-input-3-7f84f5558b68>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0moutput1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"trigger msg_type=error\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
|
"\u001b[0;31mValueError\u001b[0m: trigger msg_type=error"
|
|
]
|
|
}
|
|
]
|
|
}
|
|
},
|
|
"e27795e5a4f14450b8c9590cac51cb6b": {
|
|
"model_module": "@jupyter-widgets/base",
|
|
"model_module_version": "1.2.0",
|
|
"model_name": "LayoutModel",
|
|
"state": {}
|
|
},
|
|
"e3e20af587534a9bb3fa413951ceb28d": {
|
|
"model_module": "@jupyter-widgets/output",
|
|
"model_module_version": "1.0.0",
|
|
"model_name": "OutputModel",
|
|
"state": {
|
|
"layout": "IPY_MODEL_e27795e5a4f14450b8c9590cac51cb6b",
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": "world\n"
|
|
}
|
|
]
|
|
}
|
|
}
|
|
},
|
|
"version_major": 2,
|
|
"version_minor": 0
|
|
}
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|