##// END OF EJS Templates
Merge pull request #3409 from pankajp/qt-console-freeze-on-output-clip...
Merge pull request #3409 from pankajp/qt-console-freeze-on-output-clip Prevent qtconsole frontend freeze on lots of output. The output from the kernel is now clipped to last buffer_size before displaying and a timer is used to flush the pending output text instead of attempting to display text on every stream output from kernel. The timer interval is adjusted based on actual time taken to append a screenful of text to widget. This throttles the widget repaints and avoids choking the Qt event loop leaving time to handle other Qt events.

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nbexamples.py
154 lines | 3.0 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
import os
from base64 import encodestring
from ..nbbase import (
NotebookNode,
new_code_cell, new_text_cell, new_worksheet, new_notebook, new_output,
new_metadata, new_author, new_heading_cell, nbformat, nbformat_minor
)
# some random base64-encoded *bytes*
png = encodestring(os.urandom(5))
jpeg = encodestring(os.urandom(6))
ws = new_worksheet(name='worksheet1')
ws.cells.append(new_text_cell(
u'html',
source='Some NumPy Examples',
rendered='Some NumPy Examples'
))
ws.cells.append(new_code_cell(
input='import numpy',
prompt_number=1,
collapsed=False
))
ws.cells.append(new_text_cell(
u'markdown',
source='A random array',
rendered='A random array'
))
ws.cells.append(new_text_cell(
u'raw',
source='A random array',
))
ws.cells.append(new_heading_cell(
u'My Heading',
level=2
))
ws.cells.append(new_code_cell(
input='a = numpy.random.rand(100)',
prompt_number=2,
collapsed=True
))
ws.cells.append(new_code_cell(
input='a = 10\nb = 5\n',
prompt_number=3,
))
ws.cells.append(new_code_cell(
input='a = 10\nb = 5',
prompt_number=4,
))
ws.cells.append(new_code_cell(
input=u'print "ünîcødé"',
prompt_number=3,
collapsed=False,
outputs=[new_output(
output_type=u'pyout',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;',
prompt_number=3
),new_output(
output_type=u'display_data',
output_text=u'<array a>',
output_html=u'The HTML rep',
output_latex=u'$a$',
output_png=png,
output_jpeg=jpeg,
output_svg=u'<svg>',
output_json=u'json data',
output_javascript=u'var i=0;'
),new_output(
output_type=u'pyerr',
ename=u'NameError',
evalue=u'NameError was here',
traceback=[u'frame 0', u'frame 1', u'frame 2']
),new_output(
output_type=u'stream',
output_text='foo\rbar\r\n'
),new_output(
output_type=u'stream',
stream='stderr',
output_text='\rfoo\rbar\n'
)]
))
authors = [new_author(name='Bart Simpson',email='bsimpson@fox.com',
affiliation=u'Fox',url=u'http://www.fox.com')]
md = new_metadata(name=u'My Notebook',license=u'BSD',created=u'8601_goes_here',
modified=u'8601_goes_here',gistid=u'21341231',authors=authors)
nb0 = new_notebook(
worksheets=[ws, new_worksheet(name='worksheet2')],
metadata=md
)
nb0_py = u"""# -*- coding: utf-8 -*-
# <nbformat>%i.%i</nbformat>
# <htmlcell>
# Some NumPy Examples
# <codecell>
import numpy
# <markdowncell>
# A random array
# <rawcell>
# A random array
# <headingcell level=2>
# My Heading
# <codecell>
a = numpy.random.rand(100)
# <codecell>
a = 10
b = 5
# <codecell>
a = 10
b = 5
# <codecell>
print "ünîcødé"
""" % (nbformat, nbformat_minor)