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Merge pull request #49 from dwf/test_cleanup...
Merge pull request #49 from dwf/test_cleanup Test cleanup
Fernando Perez - - Load All Authors

File last commit:

r6674:65a259f3
r8737:8204f1ce merge
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test.ipynb
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Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 {
"metadata": {
"name": "test"
},
"nbformat": 3,
"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"source": [
"H1"
]
},
{
"cell_type": "heading",
"level": 2,
"source": [
"H2"
]
},
{
"cell_type": "heading",
"level": 3,
"source": [
"H3"
]
},
{
"cell_type": "heading",
"level": 4,
"source": [
"H4"
]
},
{
"cell_type": "heading",
"level": 5,
"source": [
"H5"
]
},
{
"cell_type": "heading",
"level": 6,
"source": [
"H6"
]
},
{
"cell_type": "markdown",
"source": [
"A bit of text, with *important things*:",
"",
"* and",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "* more that **are boldface**, as well as `verbatim`.",
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 "",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "Using markdown hyperlinks for [ipython](http://ipython.org)."
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 ]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = figure()",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "plot([1,2,3])",
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 "display(f)"
],
"language": "python",
"outputs": [
{
"output_type": "display_data",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "png": 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CABISEoiOjmbYsGFERUXRvn17EhMTPV+1SD2lppqUHhZm9h0NDra7IhHPqXUpxm0n0lKM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\nz6ixi4j4GTV2ERE/8/9mUozJaDh2nQAAAABJRU5ErkJggg==\n",
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 "text": [
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "<matplotlib.figure.Figure at 0x981bccc>"
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 ]
},
{
"output_type": "display_data",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "png": "iVBORw0KGgoAAAANSUhEUgAAAXYAAAD3CAYAAAAJxX+sAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nz6ixi4j4GTV2ERE/8/9mUozJaDh2nQAAAABJRU5ErkJggg==\n"
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 }
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": true,
"input": [
"# multiline input",
"x = 1",
"y = 2"
],
"language": "python",
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"1+2"
],
"language": "python",
"outputs": [
{
"output_type": "pyout",
"prompt_number": 3,
"text": [
"3"
]
}
],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"print 'hello world'"
],
"language": "python",
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "hello world",
""
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 ]
}
],
"prompt_number": 4
},
{
ocefpaf
Added an equation example to test the ..math:: directive.
 r6226 "cell_type": "markdown",
"source": [
"$e^{i\\pi} + 1 = 0$"
]
},
{
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "cell_type": "raw",
Anton I. Sipos
Add a plain text cell to the test notebook
 r6251 "source": [
"plain text"
]
},
{
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 "cell_type": "code",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "collapsed": false,
"input": [
"import sys",
"m = 'A message'",
"print m, 'to stdout'",
"print >> sys.stderr, m, 'to stderr'",
"m"
],
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 "language": "python",
Fernando Perez
Fix handling of raw cells in all converters, add stderr to test nb
 r6674 "outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"A message to stdout",
""
]
},
{
"output_type": "stream",
"stream": "stderr",
"text": [
"A message to stderr",
""
]
},
{
"output_type": "pyout",
"prompt_number": 5,
"text": [
"'A message'"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# a traceback",
"1/0"
],
"language": "python",
"outputs": [
{
"ename": "ZeroDivisionError",
"evalue": "integer division or modulo by zero",
"output_type": "pyerr",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[1;31mZeroDivisionError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/home/fperez/ipython/nbconvert/tests/<ipython-input-6-03412a6702b7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[1;31m# a traceback\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[1;36m1\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;31mZeroDivisionError\u001b[0m: integer division or modulo by zero"
]
}
],
"prompt_number": 6
Fernando Perez
Initial checkin - note that in this state, it's producing an ipython...
 r6220 }
]
}
]
}