Uploaded Test files
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16627 changed files with 2065359 additions and 102444 deletions
0
venv/Lib/site-packages/nbclient/tests/__init__.py
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venv/Lib/site-packages/nbclient/tests/__init__.py
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venv/Lib/site-packages/nbclient/tests/base.py
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venv/Lib/site-packages/nbclient/tests/base.py
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import unittest
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from nbformat import v4 as nbformat
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class NBClientTestsBase(unittest.TestCase):
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def build_notebook(self, with_json_outputs=False):
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"""Build a notebook in memory for use with NotebookClient tests"""
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outputs = [
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nbformat.new_output("stream", name="stdout", text="a"),
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nbformat.new_output("display_data", data={'text/plain': 'b'}),
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nbformat.new_output("stream", name="stdout", text="c"),
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nbformat.new_output("stream", name="stdout", text="d"),
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nbformat.new_output("stream", name="stderr", text="e"),
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nbformat.new_output("stream", name="stderr", text="f"),
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nbformat.new_output("display_data", data={'image/png': 'Zw=='}), # g
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nbformat.new_output("display_data", data={'application/pdf': 'aA=='}), # h
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]
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if with_json_outputs:
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outputs.extend(
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[
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nbformat.new_output("display_data", data={'application/json': [1, 2, 3]}), # j
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nbformat.new_output(
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"display_data", data={'application/json': {'a': 1, 'c': {'b': 2}}}
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), # k
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nbformat.new_output("display_data", data={'application/json': 'abc'}), # l
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nbformat.new_output("display_data", data={'application/json': 15.03}), # m
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]
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)
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cells = [
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nbformat.new_code_cell(source="$ e $", execution_count=1, outputs=outputs),
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nbformat.new_markdown_cell(source="$ e $"),
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]
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return nbformat.new_notebook(cells=cells)
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def build_resources(self):
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"""Build an empty resources dictionary."""
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return {'metadata': {}}
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@classmethod
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def merge_dicts(cls, *dict_args):
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# Because this is annoying to do inline
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outcome = {}
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for d in dict_args:
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outcome.update(d)
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return outcome
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20
venv/Lib/site-packages/nbclient/tests/fake_kernelmanager.py
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venv/Lib/site-packages/nbclient/tests/fake_kernelmanager.py
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from jupyter_client.manager import AsyncKernelManager
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class FakeCustomKernelManager(AsyncKernelManager):
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expected_methods = {'__init__': 0, 'client': 0, 'start_kernel': 0}
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def __init__(self, *args, **kwargs):
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self.log.info('FakeCustomKernelManager initialized')
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self.expected_methods['__init__'] += 1
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super(FakeCustomKernelManager, self).__init__(*args, **kwargs)
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async def start_kernel(self, *args, **kwargs):
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self.log.info('FakeCustomKernelManager started a kernel')
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self.expected_methods['start_kernel'] += 1
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return await super(FakeCustomKernelManager, self).start_kernel(*args, **kwargs)
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def client(self, *args, **kwargs):
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self.log.info('FakeCustomKernelManager created a client')
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self.expected_methods['client'] += 1
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return super(FakeCustomKernelManager, self).client(*args, **kwargs)
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37
venv/Lib/site-packages/nbclient/tests/files/Autokill.ipynb
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venv/Lib/site-packages/nbclient/tests/files/Autokill.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import signal\n",
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"pid = os.getpid()\n",
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"os.kill(pid, signal.SIGTERM)"
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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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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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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": "3.8.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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{
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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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"source": [
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"from IPython import get_ipython"
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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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"scrolled": true
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},
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"outputs": [],
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"source": [
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"ip = get_ipython()\n",
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"assert ip.history_manager.hist_file == ':memory:'"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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206
venv/Lib/site-packages/nbclient/tests/files/Clear Output.ipynb
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venv/Lib/site-packages/nbclient/tests/files/Clear Output.ipynb
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{
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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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"source": [
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"from __future__ import print_function\n",
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"from IPython.display import 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": 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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"9\n"
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]
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}
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],
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"source": [
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"for i in range(10):\n",
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" clear_output()\n",
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" print(i)"
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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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"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": 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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"Hello world"
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]
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}
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],
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"source": [
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"print(\"Hello world\", end='')\n",
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"clear_output(wait=True) # no output after this"
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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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"world"
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]
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}
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],
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"source": [
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"print(\"Hello\", end='')\n",
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"clear_output(wait=True) # here we have new output after wait=True\n",
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"print(\"world\", end='')"
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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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"text/plain": [
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"'Hello world'"
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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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"handle0 = display(\"Hello world\", display_id=\"id0\")"
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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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"data": {
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"text/plain": [
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"'world'"
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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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"handle1 = display(\"Hello\", display_id=\"id1\")"
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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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"source": [
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"handle1.update('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": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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"handle2 = display(\"Hello world\", display_id=\"id2\")\n",
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"clear_output() # clears all output, also with display_ids"
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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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"text/plain": [
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"'Hello world'"
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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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"handle3 = display(\"Hello world\", display_id=\"id3\")\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": 11,
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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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"world"
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]
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}
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],
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"source": [
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"handle4 = display(\"Hello\", display_id=\"id4\")\n",
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"clear_output(wait=True)\n",
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"print('world', end='')"
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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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"source": [
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"handle4.update('Hello world') # it is cleared, so it should not show up in the above cell"
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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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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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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": "3.6.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 1
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}
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"try:\n",
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" input = raw_input\n",
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"except:\n",
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" pass\n",
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"\n",
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"name = input(\"name: \")"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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79
venv/Lib/site-packages/nbclient/tests/files/Empty Cell.ipynb
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79
venv/Lib/site-packages/nbclient/tests/files/Empty Cell.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Test that executing skips over an empty cell."
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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": 1,
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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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"'Code 1'"
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]
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},
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"execution_count": 1,
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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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"source": [
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"\"Code 1\""
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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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"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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{
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"data": {
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"text/plain": [
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"'Code 2'"
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]
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},
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"execution_count": 2,
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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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"source": [
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"\"Code 2\""
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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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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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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": "3.5.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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48
venv/Lib/site-packages/nbclient/tests/files/Factorials.ipynb
Normal file
48
venv/Lib/site-packages/nbclient/tests/files/Factorials.ipynb
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{
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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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"collapsed": false
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},
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"outputs": [],
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"source": [
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"i, j = 1, 1"
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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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"collapsed": false
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},
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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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"2\n",
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"3\n",
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"5\n",
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"8\n",
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"13\n",
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"21\n",
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"34\n",
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"55\n",
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"89\n",
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"144\n"
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]
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}
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],
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"source": [
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"for m in range(10):\n",
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" i, j = j, i + j\n",
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" print(j)"
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]
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}
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],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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26
venv/Lib/site-packages/nbclient/tests/files/HelloWorld.ipynb
Normal file
26
venv/Lib/site-packages/nbclient/tests/files/HelloWorld.ipynb
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@ -0,0 +1,26 @@
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{
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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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"collapsed": false
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||||
},
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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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"Hello World\n"
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]
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}
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],
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"source": [
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"print(\"Hello World\")"
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]
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}
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||||
],
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||||
"metadata": {},
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"nbformat": 4,
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||||
"nbformat_minor": 0
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||||
}
|
||||
196
venv/Lib/site-packages/nbclient/tests/files/Inline Image.ipynb
Normal file
196
venv/Lib/site-packages/nbclient/tests/files/Inline Image.ipynb
Normal file
|
|
@ -0,0 +1,196 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from IPython.display import Image"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": [
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
"dddd3TweLxBihGEYcuDAAfGhQ4ekBEEgJpOJumvXrtQXXnihZSTf16QLyI2Kx+Mh+YUDAOD111+v\n",
|
||||
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|
||||
"iOPHjycCAJSVlUnWrl2rYTKZgcGgvr6e5ReO+Ph4x4svvtgU3KkpFApRXFxs5vP5zdu3b891Op3o\n",
|
||||
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|
||||
"DUUsvmCCCKeT8/l8bN68eQHjQXl5uXhCGjVCMjMzza+88krTQOHwc9NNNwWEGsMwUkdHB93/Gsdx\n",
|
||||
"2LNnT4r/9e23395vxA8mIyPDUVpaqvS/3rt3bzIepRPrjjvuCKhoBEEgKpVqkGoYjpiATBEWLlwY\n",
|
||||
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||||
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|
||||
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|
||||
"AXzfx/z5803RtIlGo3mtVmtUFswJFZB4HnNUeRpsBjWsaXO6w2QyMYvFQgUAMBgM1MluTzRQqdSQ\n",
|
||||
"s4xarQ4ICI/H84Q6ZyBcLjdwXnd3Nz3cuePFmAiIXG2inWpQczu1FnqnzkLXmx3UgBmRGJjXAX2v\n",
|
||||
"g/8/6Lygk68fs9idYyPQ5vNs6Ngm6/9sAgAQAGqCC5jZdmDNsIFgpRmQ8bEmhYLFYgUExGg0TksB\n",
|
||||
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||||
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|
||||
"sZnlNUohQYTNdpq+2BrYcG1jPlivTUiQo9VqDQhFsHpxIyASiQJJa2ZzZKkHwYOEUDg5SW9RCciR\n",
|
||||
"Kwreeweuyrw4cWMKRjBeCxla30gDInIvdrQELyRFItGIPL5TnYSEhEAHj1R9DP4+EhISnOPRruEY\n",
|
||||
"sYBUy7Ws17+5mIHfqLNGKJwdTFB8PK7WM41GQw1WKeLj44ccMV0u17Qzz6empgZ8J11dXSyHwxH2\n",
|
||||
"M3i9XiR43ZKSkhLS9zLejPiL/vDnOqnbi0+7H2jUdO9JBNw9boPCyZMnA153CoWCFxUVmYOP0+n0\n",
|
||||
"gAUw2GQaLURwMNYEUFhYaJFIJHYAnxOxurqaH+78y5cvc/0ziEQiccyZM8cc7vzxYkQdvUllol/r\n",
|
||||
"6uUMf+ZomYLxWLgdhd4T3KgvD+MJtlqt6Llz50T+1yUlJdqB0bopKSkBn8iJEyeGTZgZGNU6EIFA\n",
|
||||
"EFjjGI3GCYlyXrt2bSA269ChQ4lWq3XIVN+KiorA97Fu3TrVZBWVGNFT95yRj08m0wTBpJF9nc5r\n",
|
||||
"jy4HW3806kITr7zySkF5eblgYESu3W5Ht23blmUymagAvtmjtLR0UATr7NmzA57nuro6/q5du5JD\n",
|
||||
"qSk1NTXsN998M1elUoX1xMtksoDKolarmd3d3eNuVi4pKTGmpqZaAQB0Oh39ww8/TB84cOA4Dp9+\n",
|
||||
"+mlKY2MjHwAgIyPDUlJSYhzvtg1FxKZEHAcor1MJxrMxoyKCSSdbKvJ1CnuUYRymaj4QRFQVJvR6\n",
|
||||
"Pf3LL79M379/f7JUKrXHx8c7tVotXS6Xc/yh5kwmE9u0aVOLSCQaZMFatWqVXi6Xsy9cuCACADh1\n",
|
||||
"6lTCpUuXBOnp6VaBQOA2Go0UhULBMhgMg2KNEAQZ9O1wOBzvihUrusvLyyUYhpG2b9+eM2fOHENB\n",
|
||||
"QYG5oKDAOh4jNolEghdeeKF5x44dadeuXYtramrivfzyyzOzs7PN6enpNpVKxWhubuao1WomgC8Q\n",
|
||||
"8bHHHusY84aMgIgFpF1rptmc2LS2zRekiX1qir2JFdUNcDsKjlYaMDNHbHLcsmVL4+HDhxMaGhr4\n",
|
||||
"jY2NvMbGxn6xRUKh0Ll58+YWqVQ65L0fffTRToFA4C4rK5NgGEay2WwUf1iHH6lUaisuLu5tbGzk\n",
|
||||
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|
||||
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|
||||
"rfn5+VaFQkFvaGhgaTQautVqJctkMltBQYE1OTl5WDMmmUwmNmzYoF6xYoWutraW7Q+/4PP5nri4\n",
|
||||
"OI9MJnP403ffeeedwFoxOOQ8GBRFiYcfflixdu3anqamJlZPTw/N5XKhdDo9IFCFhYXmzZs3NwEA\n",
|
||||
"cDicYUOF1q1b17148WI9AEBSUlLIz0QikeD+++9XbdiwQd3W1sZobm5mdXd305OSkhw5OTk2mUzm\n",
|
||||
"CDeDLVy40OhXEYPXUkOxcePGdrfbTQrXpqGIWEDqlMYpF106Ev5w16IuNoOGg6GMB7gj+jpQtnoW\n",
|
||||
"wF1hI1HDkZyc7IxEGMIhFAo9N998c9g26PX6gKrFYrHCzgZCodCzaNGikHo+n8/H+Hy+JdSxUKSk\n",
|
||||
"pDhTUlIi+nwoihJZWVn2rKysEQVlxsfHu+Pj4yP2E+Xl5dlGcv9gIlY0WzWWaVsyZ26u1HjP0gID\n",
|
||||
"eIwoKD4YXRVBe/OUHyhwHIfe3t6AgITLL48RnohnkF7r4GqIE8IoLb4rZqfr//TbZb4Q+863UwEz\n",
|
||||
"je5zuDVTPohQp9NR/dYyiURiH6/03V8DEQuI1emZVgt0cRzLtemO+Yq1C3J8qoP6Xwlgqhy9FQ4z\n",
|
||||
"T/nvoaurK+CBzs/PjyqHIoaPUQjI2AxKCAAkCdjO7CS+LUPCc6AoQvTdeuAzCICQ9hhfBDAZJREZ\n",
|
||||
"SXHOWWliO5/D8KkVLjUFOramga0maidfP3AnCl4nCVD6lCxkajQayV9//XUqgM+8u2DBgqjXSzEi\n",
|
||||
"FBCvF0cw79gGJgo5DPczpbO7FhckWTgM2tjryI52GpgrudD9b+moFuWh8OjIgCZPqWBCj8eDlJWV\n",
|
||||
"iY4ePSoxm81UAIC77767KzMzc1JimG4UIhIQFCURdArqdXq8Y9LRVhel6l7aME8REAyXggb2eia4\n",
|
||||
"2hm+qNng5KoBs0hw7sagxCovAq4OBthbmYDbyb773Jjqt8vlIp0+fTquo6ODqVQqmWq1mukPdqTT\n",
|
||||
"6VhpaanqtttuG58KfL8iIlax2HTKqAUEAYA/318iXzc/w7cuMB6LA83uFPBaKP06/sCkqUGJVUP9\n",
|
||||
"23/tOAsFRTSsPwBFUUIoFDr1ev24ZMKRyWRi3759Kf7icAiCEGKx2JGXl2dev369erwcfb82RiIg\n",
|
||||
"mM7iHJUF586SjJ518zOMgJlR6P5nKliqBVMyMDEcJBoeyfqDTCYTW7durW1paWFWVo6BcWAAKIoS\n",
|
||||
"t9xyixpFUSI9Pd2WmZnpGEm9pxiREbGACDk0d7vWErUPQCpkOZ9bX6wCAADl2+ngqJ+euz6hI8v0\n",
|
||||
"i8YRFil33nnnpIdi3OhE7CjMSuSNarH3yr0L2ukUMg6GA6JpKxwAAIzQRdNiTF3MNgf69ZEq4b8O\n",
|
||||
"nhENf3Z/Ip5B8qT866PgyFUiLpPqmZeZYAOvBQXt18kjvsFUgjsn4rCLGFODl//5rez0L81xty6a\n",
|
||||
"qQMA3UiujXgGmZnCj1pNyE6K88XC2BuYQEzz/fC482MCMs3AvL5qimTSyLcEj1hAUkUcN4dOGb7w\n",
|
||||
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|
||||
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|
||||
"pMPMsQIr79f52ac5/hkERUc+Po/4is23zxy0WcmvguTfqya7CTGiw4v7VayRzyAjDt1ePSvZVHFN\n",
|
||||
"pTt6VTFim/K0hX+zHuKWjMp6pek1k89caeGotL3Ubr2JKhHy3HNnpFnn5MrsNEr4rQA0vWbyxfp2\n",
|
||||
"Vk2LkuXBMKQwK9k2Ny/NJhXHDXJa2hwu0uGzV/kpCUJXycyMkJl0ap2Rsq/ikuC3ty7U8TmD03Fr\n",
|
||||
"W5WMK01dzLuWzellMfp7501WB1p1Tc6ub1MzUhOFrtnZKfZ06dBF7vxgXhyplSsYV5q7mLWtKpbJ\n",
|
||||
"aifftqjQsH558aB1bV2bil51Tc7xYF6kIENqn52Tah/YjoGYrA70fG0rq7q+neP2YIhUHOdaUJBu\n",
|
||||
"nZWV4sD6ZpCJ2cTzpbvndCn0Vnq90siO5vppBTXBBWl/jHrWvNTQwfz4h5OSc9fkfP9UH2DfCUhL\n",
|
||||
"FNl3/nljsziOG9JCuOvgGdH7e46leLC+TUD3HrsACAKwcd0S5TMPrOkmBRkOHv7Lzly5QsNcNX+G\n",
|
||||
"PpSAlF2o4/7xva+zCQIgns/x3Lt6/qCt3vaf/EXw9ZEqybLiXHNwx3z3i58Sdx+uTCQIAiGREAK/\n",
|
||||
"Xnr2jqWzNa8+dqeCGkLQPZgX+eLwWdGXP51L0PRaAlmOCIIQW357qzL43Dallrbpb7uy1DoT3X8O\n",
|
||||
"QRCIkMd2/23zva3z89NDCvyFujbWs9u+zLLaXWQAgOC2yRKFDr3JV4AuGjNvVALCplPwT/6wvPHj\n",
|
||||
"soaEXRWNSRh2g1Za5C3shcy/dgCZG1Xg3+5DZ0XbvzqSCgBw28KZupuLc015skSHWMDFTv/SxHnr\n",
|
||||
"84OydrWO+ch/fpK7+7XfNwi4/XPHX/zgG9lPlTUiBo3i/cO9KztXzJ1hwrxe5Oj5Ov6n+08lffbj\n",
|
||||
"aWldm4q14+X/JfcLybwZaWa5QsOsqm3lYV4cGahWlJ2v4/tjOY9X1/NDCUjl1RZehjTeHjxD/eWj\n",
|
||||
"71O+P3FJnJUstr36+F0dBRlSZ61cwfjTh9+l/XjqF7HZ5iC///xDbcH3MVrs6Oa3v8i82qLg0Chk\n",
|
||||
"fMOqeT2Fmck2iYjndro8pFyZJLCmq2tT0Z/auivHZHOQn/jNcsUDt5boUBIJ/v1Tpeij7yqSn3jr\n",
|
||||
"X7m7/vp4/cxMaT8z+4lLjZz/8/c9WS4PRpqTm2p+fP0y9YKCDFtnt556/EI978ufz0n8gjNhMwgA\n",
|
||||
"AEoiwRNr8nvWFct6q+UaVpPayGzrNjMcLn992b4oWx6LPjaRpeQ4N5CFrpDh7kNG84aLEIaga/37\n",
|
||||
"g8S7gZFlB3a+HXglw+7THY4vDldKvF4ceeLu5YqnNqzsFzd1y8KZJomI1/y7v+zMV2h66V/+dE70\n",
|
||||
"9H2rAuccOnOV91NljYhCRvGdf3qksTArOdAxslISetKTRM6X/vFtZtW1Vv63ZRcE961eYAAAWL0g\n",
|
||||
"37jn6HmJ1e4iV15tYS+dk9NPNTx3rTUQ5nOxoZ3ncLlJDFrf1gKd3XpqR7ee8fDamwJrrjNXmtnf\n",
|
||||
"n7gkBgDY/tyDrakSoRsAoCgn1f7PF/6j5c4/vl948nJTXJtSqwpWt9776kji1RYFR8BluXf/5+ON\n",
|
||||
"yQmCIXNo3vrsQGqvxU5ZvSBf/9S9fd/VUxtW9sgVGsax83XCz348lfDusw+0+495MC/yxqc/ylwe\n",
|
||||
"jJSeJLL/44WH5ezrM15mstiVmSzWPFx6k7b02e0zdUYrNRoz76jTR6VCllsqTHcDwPhnrvFu1kPi\n",
|
||||
"49Nmsex3UNEo5JD686ysFMeMtCRrXZuKvf/k5fin7l3ZQ0IQcHkw5L2vjqQAAKycN8MQLBx+bltU\n",
|
||||
"aNpXccl0rkbO/+i7Culdy4p7aRQyMS8/3cZnMzxGq4NSdqGOFywgV5o6mXqTlbpiXp6+vLpB6HJj\n",
|
||||
"pIqLDZzbb5oVSMs9WlXLAwBYNX9G4L0vfz4nBgDIShHb/MLhR5YocicIuK4eg5m25+h54UsbSwO/\n",
|
||||
"j9vjK4gXx2Vh4YSjrk1Fv9qi4AAArF6QP6gfLSjIMB87XyesuNggsNidnRymL5r627JqgcZgpgEA\n",
|
||||
"PH3faiU7xDqFTqUQpOuF88bdUTjpYEYy2OqZfX91Q/zV9v1Zg/6cnSPa4XS0BBxU5KFHrvkF6WYA\n",
|
||||
"gB6DmdbYrqYDAFxt7mL2XP/h1y6eNeR20LctKjQAAOiMVmpDm4oBAEBCECgpzDQBAJy52tKvQHRZ\n",
|
||||
"tS9I9Pe/Wd6dKOI5AQCOX6jvd87pK808AZflmZMrswMAuD0YUnlVzgcAWDlvRshBMD8jyQoA0KUx\n",
|
||||
"9Mt9CYR4DNMxD56+IgAAoFHJ+Ip5MwYVqfavPTAvjnSo+8oZHTpzRQjgK3Q51PqkXzuiqBY55QsQ\n",
|
||||
"9MN0Ih6MFfGRJ0wN+De72AjZ78gnqrkB82KYxaGQywro+Wq9iTojPclZf72zAwAMHLGDSUmICxxr\n",
|
||||
"VeloRTmpdgCAlfNmGH+uvCbSGMy0a3Ilw6+3n7nSzEsQcF356UnOJUU5xm/KLviMBzjegZJIYHW4\n",
|
||||
"SDUtCs7qBfkBh3C7Wkfzf45DZ66KTlxqjAMAgoQggFxf92iNvm3j9Mb+G2X6rxvOQdfZ3Vcu9eFX\n",
|
||||
"/ycXQRACQRBAAALPCHxHOiPF/3kUGl9po1SJ0MFjM4ZU4wO/Q5iBaiiml4BMM7AIHFRsZt/6rFvv\n",
|
||||
"K0nUptIFRuL4OM6Q+Sc8Vt+mqEpNbyCZbVlxroVGIeMuD0Y6WlXLn5kpdXTrTZSWLg3r7hVzewAA\n",
|
||||
"Vi3IN31TdkFitjnJ52rk7MVF2daKiw1cD+YlLZ+bF1Cv2pS6QOdNlQgdDNrgraATRTwXAICQ17+t\n",
|
||||
"fhVzuBlEpfV1dC6LgaUkCEI6Y/3P8FvVbA4XyWC2UQEAZmYmh10r+o1I0XjSYwIyjvhVLEqYkcvt\n",
|
||||
"6TPfErjvtGChaVVqaUXZoTeP6bXYAr+fWNDXORk0Kl6cJzNX1sj5p39p4m357S3qY+fr/GsLIwDA\n",
|
||||
"goJ0K4/N8JisDsrRqlr+4qJs68lLjTwqhYwvK84NrFs8QdXon75vlbogQxpxsCYWYQyUf4SXJQod\n",
|
||||
"27Y82B7JvYPXE8N1fAyPTFBDMb3WIJGATJ26blgEKoa2t2+/Pr8FKFHEC6hOjR3qIQM8e/R912an\n",
|
||||
"9N+i7ObiXCMAQItCw1JpeymnfmnisZk0bGFhlu16m2DhzOtrlSvNfJwgoKq2lTcnJ9UcbNXKShYH\n",
|
||||
"7mu1jyyWzhuhgy5VInQCADicnojvT6dSCA7Tt6lQU2d32EzXSNsRihtHQOgZAKkvAczcB5D1DgC3\n",
|
||||
"ZLJbFBRFOvQPE6xOZaf6OnlwZ2/u7BlSQJoVvmM0ChnPSZX0E5BbSmaa/Nse7D/5S9zlhg7ugvwM\n",
|
||||
"U3BbVl6fTTS9Ftq/D1eKjBY7ZemcnH6F5jKk8S4SyXef2lbliFKuI12kpyfFOwEAunr0DJcHizhc\n",
|
||||
"2q92tSm1TGygEzYI/wxFGe9o3tEzjqHishcB4lYAkCgA7CKAtFcB0LGpFRcNHqxPNRlqcWi2OdAz\n",
|
||||
"V5vjAADm5qWZ4vm+6unz89Nt2SkJNgCAps6ekJ0SJwg4fLZGCABwz8p5PQNDMUR8NjYjLdEGALD7\n",
|
||||
"8NlElwfrt7YA6FurAADs+K5cCgCwekFBv3OoFDKRIY23AwB8V35xRBsoRTpyF+fJrAAAZpuT/H3F\n",
|
||||
"pYg3KVq7eJYeAMDlwUi1rcqQ1WO8OB6w00z9GYQyfMxOVLBmAdDT+r9HogII1/Z/jyqZsK2EgwXk\n",
|
||||
"5OUmntHSf1crL47DXz76PsXl9vkKnrxnuTr4+KN3LlUDAPzS1Mn95tiFQVVRdnxbnqAxmGlsJg17\n",
|
||||
"8p4VIYs3LJ3jK7tqtbvIZJRErAzybQD0rVX852SliG2JIt4go8BrT/ymg0JG8a4eA2Pr5weTQj3r\n",
|
||||
"aksX40pzV7/ZLtJF+rLiXMuakgIdAMCO/1curWtTDersJqsDPXjmCh8PcgLfu3qBnkmnegEA3vhk\n",
|
||||
"vyzU7FNe3RAYJf3+k5EwsYt0Rq4NjGVjf198iGzgge+zCqIugz9SggXk4Okr8ccv1AtuLs7pzUoW\n",
|
||||
"O5xujHTyUiO/uauHBQDwxN3LFQsK+sdNrV08y9TRrVd89F158t92HZI1dfYwlszONlvsTrTiYgPv\n",
|
||||
"aFWtSMRnu7c9+4B8KBPnLSUFxo++q0gGACjKTjWH6iDL5+YZK2t8fo7FRdkh6/gWZEgdT9+7SrH9\n",
|
||||
"qyOpXx2pSmzq7GHeVJRliudzsHM1ck5VbStPb7JS581IM33yfx9t8V/nvW50iMSD/dffr++6Jlew\n",
|
||||
"1ToT/bHXP8srXVKknZkptat0RurZK8282lYV24vjiDiO2+D3ebAZNPzdZx9o2bLtq6ymzh7WY69/\n",
|
||||
"mn3nzXN0yQkCd0O7inHkXK2grk3FnpGWaH3uoVsHfceRMMECUjCq0I0hcbQA2OoBWDP63vPaAQxH\n",
|
||||
"+5/HmTM+zw9BsIBsvn91Z0O7mnmsqk74c+W1wPsiPtv91IaVintWzgvpgNt0z4oemUTo/O9vj0u/\n",
|
||||
"KTsv2XvsvAQAgEGjektmZhhff/LujgRB6CBHAICslARXsjjOaXe60Q2r5oVM9lpTUmD6265DRLJY\n",
|
||||
"4Fy3pGjIaIiNdyzRshg0747vyqUXG9p5FxvaAyErSSK+87mHbu144JaSfgl1I0l1ZTNo+Cd/frTp\n",
|
||||
"7S8OS8urG4R7j52X7D3mO0Yho/jNxTmGJ36zvHtGev8NcG6alWV9//mHmv9r96GUGrmS7ffIC7gs\n",
|
||||
"T4Y03v7mprvl65bOjnqPQ4QgiOpoL46K7o+lYPxJAgBDV0mMprIiWQggvAMgbhWA9TKA9juf4Pin\n",
|
||||
"5LhVWkh7pXNcP1sQap2Jctsz784CAHj/+YealhXnWowWOypXaGiaXjOlIEPqCOcEHIjZ5kCvNncx\n",
|
||||
"4uO4WHZqgpMUYepvZ7eeKhXHudEw4OU8RgAAAbxJREFUXuR2lY6aliSKqC1eHAdFj4HaqtTSeGym\n",
|
||||
"NytF7OKyQs9gLg+G4DiOkFGUCGfqHojZ5kDlCg2t12InZyTFO1MkgrDt92O02NH6djUjK0Xs9K/n\n",
|
||||
"RsvECwjhRaDjT9ngbOGMqYCE86QzMm2Q849GIFEnrIxjV4+Bum7Le4UAAP/94sONi4uyJ2z2ijF2\n",
|
||||
"TLyZF0EJSH5ZDqy5Q8YYjSmsmWbIeEM+kcIB0F/FGsnoGWNqMTmedDLPCykvt4HpRC/0fJYKXvPY\n",
|
||||
"716FsjFIfLQLRHdMjCAOwB1kUYkJyPRlckNNeMuMwL3JBKbTPDAeE4G9jje6YtYIADPfDHGr9CBY\n",
|
||||
"bQTS5G1yEzyDRGN/jzE1mPxYLIRCAH+FEfgrjOAxkMF2lQ32OjY4mlng6mKGLRWEUHGgp9mAmWMD\n",
|
||||
"Zr4V2EU2oAjGZHE2WrCgGKZoPLgxpgaTLyDBUAQY8Jcbgb+8zyzntZHAo6cAZiAD7iYByvICyvEC\n",
|
||||
"mesFlIsBMjWjZThMulfEZ7t1Ris1pmJNXybeivUrAicIOHulmV2YlRI2XyHG1CUmIDFihGFq6icx\n",
|
||||
"YkwRYgISI0YYYgISI0YY/j+SFgT3yDrlYgAAAABJRU5ErkJggg==\n"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.Image object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"Image('python.png')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
49
venv/Lib/site-packages/nbclient/tests/files/Interrupt.ipynb
Normal file
49
venv/Lib/site-packages/nbclient/tests/files/Interrupt.ipynb
Normal file
|
|
@ -0,0 +1,49 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "KeyboardInterrupt",
|
||||
"evalue": "",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-1-31d18a52bf41>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mcontinue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"while True: continue"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"done\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"done\")"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
|
|
@ -0,0 +1,94 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "f46f26da84b54255bccc3a69d7eb08de",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Label(value='Hello World')"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets\n",
|
||||
"label = ipywidgets.Label('Hello World')\n",
|
||||
"label"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# it should also handle custom msg'es\n",
|
||||
"label.send({'msg': 'Hello'})"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.4"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
"state": {
|
||||
"8273e8fe9d9941a4a63c062158e0a630": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_module_version": "1.4.0",
|
||||
"model_name": "DescriptionStyleModel",
|
||||
"state": {
|
||||
"description_width": ""
|
||||
}
|
||||
},
|
||||
"a72770a4f541425f8fe85833a3dc2a8e": {
|
||||
"model_module": "@jupyter-widgets/controls",
|
||||
"model_module_version": "1.4.0",
|
||||
"model_name": "LabelModel",
|
||||
"state": {
|
||||
"context_menu": null,
|
||||
"layout": "IPY_MODEL_dec20f599109458ca607b1df5959469b",
|
||||
"style": "IPY_MODEL_8273e8fe9d9941a4a63c062158e0a630",
|
||||
"value": "Hello World"
|
||||
}
|
||||
},
|
||||
"dec20f599109458ca607b1df5959469b": {
|
||||
"model_module": "@jupyter-widgets/base",
|
||||
"model_module_version": "1.1.0",
|
||||
"model_name": "LayoutModel",
|
||||
"state": {}
|
||||
}
|
||||
},
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
}
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
|
|
@ -0,0 +1,67 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2020-05-29T11:16:26.365338Z",
|
||||
"start_time": "2020-05-29T11:16:26.362047Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from ipykernel.comm import Comm"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2020-05-29T11:16:26.377700Z",
|
||||
"start_time": "2020-05-29T11:16:26.371603Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"comm = Comm('this-comm-tests-a-missing-handler', data={'id': 'foo'})"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {
|
||||
"ExecuteTime": {
|
||||
"end_time": "2020-05-29T11:16:26.584520Z",
|
||||
"start_time": "2020-05-29T11:16:26.581213Z"
|
||||
}
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"comm.send(data={'id': 'bar'})"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
776
venv/Lib/site-packages/nbclient/tests/files/Output.ipynb
Normal file
776
venv/Lib/site-packages/nbclient/tests/files/Output.ipynb
Normal file
|
|
@ -0,0 +1,776 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "e152547dd69d46fcbcb602cf9f92e50b",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"from IPython.display import clear_output\n",
|
||||
"output1 = widgets.Output()\n",
|
||||
"output1"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"hi\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"hi\")\n",
|
||||
"with output1:\n",
|
||||
" print(\"in output\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"with output1:\n",
|
||||
" raise ValueError(\"trigger msg_type=error\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "44dc393cd7c6461a8c4901f85becfc0e",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"output2 = widgets.Output()\n",
|
||||
"output2"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"hi2\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"hi2\")\n",
|
||||
"with output2:\n",
|
||||
" print(\"in output2\")\n",
|
||||
" clear_output(wait=True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "d6cd7a1de3494d2daff23c6d4ffe42ee",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"output3 = widgets.Output()\n",
|
||||
"output3"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"hi3\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"hi3\")\n",
|
||||
"with output3:\n",
|
||||
" print(\"hello\")\n",
|
||||
" clear_output(wait=True)\n",
|
||||
" print(\"world\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "10517a9d5b1d4ea386945642894dd898",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"output4 = widgets.Output()\n",
|
||||
"output4"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"hi4\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(\"hi4\")\n",
|
||||
"with output4:\n",
|
||||
" print(\"hello world\")\n",
|
||||
" clear_output()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "37f7ba6a9ecc4c19b519e718cd12aafe",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"output5 = widgets.Output()\n",
|
||||
"output5"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(\"hi5\")\n",
|
||||
"with output5:\n",
|
||||
" display(\"hello world\") # this is not a stream but plain text\n",
|
||||
"clear_output()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "4fb0ee7e557440109c08547514f03c7b",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"import ipywidgets as widgets\n",
|
||||
"output_outer = widgets.Output()\n",
|
||||
"output_inner = widgets.Output()\n",
|
||||
"output_inner"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 13,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "01ea355e26484c13b1caaaf6d29ac0f2",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"Output()"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"output_outer"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"with output_inner:\n",
|
||||
" print('in inner')\n",
|
||||
" with output_outer:\n",
|
||||
" print('in outer')\n",
|
||||
" print('also in inner')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"language": "python"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.7.3"
|
||||
},
|
||||
"widgets": {
|
||||
"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",
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": "in outer\n"
|
||||
}
|
||||
]
|
||||
}
|
||||
},
|
||||
"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",
|
||||
"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": {
|
||||
"text/plain": "'hello world'"
|
||||
},
|
||||
"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
|
||||
}
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Ensure notebooks can execute in parallel\n",
|
||||
"\n",
|
||||
"This notebook uses a file system based \"lock\" to assert that two instances of the notebook kernel will run in parallel. Each instance writes to a file in a temporary directory, and then tries to read the other file from\n",
|
||||
"the temporary directory, so that running them in sequence will fail, but running them in parallel will succed.\n",
|
||||
"\n",
|
||||
"Two notebooks are launched, each which sets the `this_notebook` variable. One notebook is set to `this_notebook = 'A'` and the other `this_notebook = 'B'`."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"import os.path\n",
|
||||
"import tempfile\n",
|
||||
"import time"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# the variable this_notebook is injectected in a cell above by the test framework.\n",
|
||||
"this_notebook = 'A'\n",
|
||||
"other_notebook = 'B'\n",
|
||||
"directory = os.environ['NBEXECUTE_TEST_PARALLEL_TMPDIR']\n",
|
||||
"with open(os.path.join(directory, 'test_file_{}.txt'.format(this_notebook)), 'w') as f:\n",
|
||||
" f.write('Hello from {}'.format(this_notebook))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"start = time.time()\n",
|
||||
"timeout = 5\n",
|
||||
"end = start + timeout\n",
|
||||
"target_file = os.path.join(directory, 'test_file_{}.txt'.format(other_notebook))\n",
|
||||
"while time.time() < end:\n",
|
||||
" time.sleep(0.1)\n",
|
||||
" if os.path.exists(target_file):\n",
|
||||
" with open(target_file, 'r') as f:\n",
|
||||
" text = f.read()\n",
|
||||
" if text == 'Hello from {}'.format(other_notebook):\n",
|
||||
" break\n",
|
||||
"else:\n",
|
||||
" assert False, \"Timed out – didn't get a message from {}\".format(other_notebook)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"# Ensure notebooks can execute in parallel\n",
|
||||
"\n",
|
||||
"This notebook uses a file system based \"lock\" to assert that two instances of the notebook kernel will run in parallel. Each instance writes to a file in a temporary directory, and then tries to read the other file from\n",
|
||||
"the temporary directory, so that running them in sequence will fail, but running them in parallel will succed.\n",
|
||||
"\n",
|
||||
"Two notebooks are launched, each which sets the `this_notebook` variable. One notebook is set to `this_notebook = 'A'` and the other `this_notebook = 'B'`."
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import os\n",
|
||||
"import os.path\n",
|
||||
"import tempfile\n",
|
||||
"import time"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# the variable this_notebook is injectected in a cell above by the test framework.\n",
|
||||
"this_notebook = 'B'\n",
|
||||
"other_notebook = 'A'\n",
|
||||
"directory = os.environ['NBEXECUTE_TEST_PARALLEL_TMPDIR']\n",
|
||||
"with open(os.path.join(directory, 'test_file_{}.txt'.format(this_notebook)), 'w') as f:\n",
|
||||
" f.write('Hello from {}'.format(this_notebook))"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"start = time.time()\n",
|
||||
"timeout = 5\n",
|
||||
"end = start + timeout\n",
|
||||
"target_file = os.path.join(directory, 'test_file_{}.txt'.format(other_notebook))\n",
|
||||
"while time.time() < end:\n",
|
||||
" time.sleep(0.1)\n",
|
||||
" if os.path.exists(target_file):\n",
|
||||
" with open(target_file, 'r') as f:\n",
|
||||
" text = f.read()\n",
|
||||
" if text == 'Hello from {}'.format(other_notebook):\n",
|
||||
" break\n",
|
||||
"else:\n",
|
||||
" assert False, \"Timed out – didn't get a message from {}\".format(other_notebook)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.7"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
48
venv/Lib/site-packages/nbclient/tests/files/SVG.ipynb
Normal file
48
venv/Lib/site-packages/nbclient/tests/files/SVG.ipynb
Normal file
|
|
@ -0,0 +1,48 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"from IPython.display import SVG"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/svg+xml": [
|
||||
"<svg height=\"100\" width=\"100\">\n",
|
||||
" <circle cx=\"50\" cy=\"50\" fill=\"red\" r=\"40\" stroke=\"black\" stroke-width=\"2\"/>\n",
|
||||
"</svg>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.SVG object>"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"SVG(data='''\n",
|
||||
"<svg height=\"100\" width=\"100\">\n",
|
||||
" <circle cx=\"50\" cy=\"50\" r=\"40\" stroke=\"black\" stroke-width=\"2\" fill=\"red\" />\n",
|
||||
"</svg>''')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"tags": [
|
||||
"raises-exception"
|
||||
]
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "Exception",
|
||||
"evalue": "message",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[0;32m<ipython-input-1-644b5753a261>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# üñîçø∂é\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[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"message\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[0;31mException\u001b[0m: message"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# üñîçø∂é\n",
|
||||
"raise Exception(\"message\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print('ok')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 1
|
||||
}
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"ename": "Exception",
|
||||
"evalue": "message",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[1;31mException\u001b[0m Traceback (most recent call last)",
|
||||
"\u001b[1;32m<ipython-input-1-9abc744909d9>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# üñîçø∂é\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"message\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
|
||||
"\u001b[1;31mException\u001b[0m: message"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# üñîçø∂é\n",
|
||||
"raise Exception(\"message\")"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"ok\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print('ok')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
65
venv/Lib/site-packages/nbclient/tests/files/Sleep1s.ipynb
Normal file
65
venv/Lib/site-packages/nbclient/tests/files/Sleep1s.ipynb
Normal file
|
|
@ -0,0 +1,65 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"import time\n",
|
||||
"import datetime"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"t0 = datetime.datetime.utcnow()\n",
|
||||
"time.sleep(1)\n",
|
||||
"t1 = datetime.datetime.utcnow()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"time_format = '%Y-%m-%dT%H:%M:%S.%fZ'\n",
|
||||
"print(t0.strftime(time_format), end='')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(t1.strftime(time_format), end='')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.8.1"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
26
venv/Lib/site-packages/nbclient/tests/files/Unicode.ipynb
Normal file
26
venv/Lib/site-packages/nbclient/tests/files/Unicode.ipynb
Normal file
|
|
@ -0,0 +1,26 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u2603\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print('\u2603')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
32
venv/Lib/site-packages/nbclient/tests/files/UnicodePy3.ipynb
Normal file
32
venv/Lib/site-packages/nbclient/tests/files/UnicodePy3.ipynb
Normal file
|
|
@ -0,0 +1,32 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"\u2603\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print('\u2603')"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 0
|
||||
}
|
||||
BIN
venv/Lib/site-packages/nbclient/tests/files/python.png
Normal file
BIN
venv/Lib/site-packages/nbclient/tests/files/python.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 8.6 KiB |
|
|
@ -0,0 +1,173 @@
|
|||
{
|
||||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"ip = get_ipython()\n",
|
||||
"\n",
|
||||
"from IPython.display import display\n",
|
||||
"\n",
|
||||
"def display_with_id(obj, display_id, update=False, execute_result=False):\n",
|
||||
" iopub = ip.kernel.iopub_socket\n",
|
||||
" session = get_ipython().kernel.session\n",
|
||||
" data, md = ip.display_formatter.format(obj)\n",
|
||||
" transient = {'display_id': str(display_id)}\n",
|
||||
" content = {'data': data, 'metadata': md, 'transient': transient}\n",
|
||||
" if execute_result:\n",
|
||||
" msg_type = 'execute_result'\n",
|
||||
" content['execution_count'] = ip.execution_count\n",
|
||||
" else:\n",
|
||||
" msg_type = 'update_display_data' if update else 'display_data'\n",
|
||||
" session.send(iopub, msg_type, content, parent=ip.parent_header)\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"'above'"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"8"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"'below'"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"display('above')\n",
|
||||
"display_with_id(1, 'here')\n",
|
||||
"display('below')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"8"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"6"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"8"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"display_with_id(2, 'here')\n",
|
||||
"display_with_id(3, 'there')\n",
|
||||
"display_with_id(4, 'here')"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 4,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"6"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"display_with_id(5, 'there')\n",
|
||||
"display_with_id(6, 'there', update=True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"8"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
"output_type": "display_data"
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"10"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"display_with_id(7, 'here')\n",
|
||||
"display_with_id(8, 'here', update=True)\n",
|
||||
"display_with_id(9, 'result', execute_result=True)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"metadata": {
|
||||
"collapsed": true
|
||||
},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"display_with_id(10, 'result', update=True)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 2
|
||||
}
|
||||
1470
venv/Lib/site-packages/nbclient/tests/test_client.py
Normal file
1470
venv/Lib/site-packages/nbclient/tests/test_client.py
Normal file
File diff suppressed because it is too large
Load diff
57
venv/Lib/site-packages/nbclient/tests/util.py
Normal file
57
venv/Lib/site-packages/nbclient/tests/util.py
Normal file
|
|
@ -0,0 +1,57 @@
|
|||
import asyncio
|
||||
|
||||
import tornado
|
||||
|
||||
from nbclient.util import run_sync
|
||||
|
||||
|
||||
@run_sync
|
||||
async def some_async_function():
|
||||
await asyncio.sleep(0.01)
|
||||
return 42
|
||||
|
||||
|
||||
def test_nested_asyncio_with_existing_ioloop():
|
||||
ioloop = asyncio.new_event_loop()
|
||||
try:
|
||||
asyncio.set_event_loop(ioloop)
|
||||
assert some_async_function() == 42
|
||||
assert asyncio.get_event_loop() is ioloop
|
||||
finally:
|
||||
asyncio._set_running_loop(None) # it seems nest_asyncio doesn't reset this
|
||||
|
||||
|
||||
def test_nested_asyncio_with_no_ioloop():
|
||||
asyncio.set_event_loop(None)
|
||||
try:
|
||||
assert some_async_function() == 42
|
||||
finally:
|
||||
asyncio._set_running_loop(None) # it seems nest_asyncio doesn't reset this
|
||||
|
||||
|
||||
def test_nested_asyncio_with_tornado():
|
||||
# This tests if tornado accepts the pure-Python Futures, see
|
||||
# https://github.com/tornadoweb/tornado/issues/2753
|
||||
# https://github.com/erdewit/nest_asyncio/issues/23
|
||||
asyncio.set_event_loop(asyncio.new_event_loop())
|
||||
ioloop = tornado.ioloop.IOLoop.current()
|
||||
|
||||
async def some_async_function():
|
||||
future = asyncio.ensure_future(asyncio.sleep(0.1))
|
||||
# this future is a different future after nested-asyncio has patched
|
||||
# the asyncio module, check if tornado likes it:
|
||||
ioloop.add_future(future, lambda f: f.result())
|
||||
await future
|
||||
return 42
|
||||
|
||||
def some_sync_function():
|
||||
return run_sync(some_async_function)()
|
||||
|
||||
async def run():
|
||||
# calling some_async_function directly should work
|
||||
assert await some_async_function() == 42
|
||||
# but via a sync function (using nested-asyncio) can lead to issues:
|
||||
# https://github.com/tornadoweb/tornado/issues/2753
|
||||
assert some_sync_function() == 42
|
||||
|
||||
ioloop.run_sync(run)
|
||||
Loading…
Add table
Add a link
Reference in a new issue