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Capture output from subprocs during test, and display on failure...
Capture output from subprocs during test, and display on failure This probably needs some more thought on synchronisation so we don't miss critical bits of output as the test ends.

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nbexamples.py
109 lines | 2.2 KiB | text/x-python | PythonLexer
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
)
# 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_code_cell(
input='a = numpy.random.rand(100)',
prompt_number=2,
collapsed=True
))
ws.cells.append(new_code_cell(
input='print a',
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',
etype=u'NameError',
evalue=u'NameError was here',
traceback=[u'frame 0', u'frame 1', u'frame 2']
)]
))
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 = """# -*- coding: utf-8 -*-
# <nbformat>2</nbformat>
# <htmlcell>
# Some NumPy Examples
# <codecell>
import numpy
# <markdowncell>
# A random array
# <codecell>
a = numpy.random.rand(100)
# <codecell>
print a
"""