##// END OF EJS Templates
speedup transition adn use class instead of id
speedup transition adn use class instead of id

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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
"""