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1 | #!/usr/bin/env python | |
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2 | """A really simple notebook to rst/html exporter. | |
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3 | ||
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4 | Usage | |
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5 | ||
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6 | ./nb2html.py file.ipynb | |
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7 | ||
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8 | Produces 'file.rst' and 'file.html', along with auto-generated figure files | |
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9 | called nb_figure_NN.png. | |
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10 | ||
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11 | """ | |
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12 | ||
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13 | import os | |
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14 | import subprocess | |
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15 | import sys | |
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16 | ||
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17 | from IPython.nbformat import current as nbformat | |
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18 | from IPython.utils.text import wrap_paragraphs, indent | |
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19 | ||
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20 | ||
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21 | # Cell converters | |
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22 | ||
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23 | def unknown_cell(cell): | |
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24 | """Default converter for cells of unknown type. | |
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25 | """ | |
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26 | ||
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27 | return [rst_directive('.. warning:: Unknown cell'), | |
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28 | repr(cell)] | |
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29 | ||
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30 | def markdown_cell(cell): | |
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31 | """convert a markdown cell to rst | |
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32 | ||
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33 | Returns list.""" | |
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34 | return [cell.source] | |
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35 | ||
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36 | ||
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37 | def rst_directive(directive, text): | |
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38 | return [directive, '', indent(text), ''] | |
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39 | ||
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40 | def code_cell(cell): | |
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41 | """Convert a code cell to rst | |
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42 | ||
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43 | Returns list.""" | |
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44 | ||
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45 | if not cell.input: | |
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46 | return [] | |
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47 | ||
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48 | lines = ['In[%s]:' % cell.prompt_number, ''] | |
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49 | lines.extend(rst_directive('.. code:: python', cell.input)) | |
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50 | ||
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51 | for output in cell.outputs: | |
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52 | conv = converters[output.output_type] | |
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53 | lines.extend(conv(output)) | |
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54 | ||
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55 | return lines | |
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56 | ||
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57 | # Converters for parts of a cell. | |
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58 | figures_counter = 1 | |
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59 | ||
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60 | def out_display(output): | |
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61 | """convert display data from the output of a code cell to rst. | |
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62 | ||
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63 | Returns list. | |
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64 | """ | |
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65 | global figures_counter | |
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66 | ||
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67 | lines = [] | |
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68 | ||
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69 | if 'png' in output: | |
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70 | fname = 'nb_figure_%s.png' % figures_counter | |
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71 | with open(fname, 'w') as f: | |
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72 | f.write(output.png.decode('base64')) | |
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73 | ||
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74 | figures_counter += 1 | |
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75 | lines.append('.. image:: %s' % fname) | |
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76 | lines.append('') | |
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77 | ||
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78 | return lines | |
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79 | ||
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80 | ||
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81 | def out_pyout(output): | |
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82 | """convert pyout part of a code cell to rst | |
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83 | ||
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84 | Returns list.""" | |
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85 | ||
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86 | lines = ['Out[%s]:' % output.prompt_number, ''] | |
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87 | ||
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88 | if 'latex' in output: | |
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89 | lines.extend(rst_directive('.. math::', output.latex)) | |
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90 | ||
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91 | if 'text' in output: | |
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92 | lines.extend(rst_directive('.. parsed-literal::', output.text)) | |
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93 | ||
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94 | return lines | |
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95 | ||
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96 | ||
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97 | converters = dict(code = code_cell, | |
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98 | markdown = markdown_cell, | |
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99 | pyout = out_pyout, | |
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100 | display_data = out_display, | |
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101 | ) | |
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102 | ||
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103 | ||
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104 | ||
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105 | def convert_notebook(nb): | |
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106 | lines = [] | |
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107 | for cell in nb.worksheets[0].cells: | |
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108 | conv = converters.get(cell.cell_type, unknown_cell) | |
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109 | lines.extend(conv(cell)) | |
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110 | lines.append('') | |
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111 | ||
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112 | return '\n'.join(lines) | |
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113 | ||
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114 | ||
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115 | def nb2rst(fname): | |
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116 | "Convert notebook to rst" | |
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117 | ||
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118 | with open(fname) as f: | |
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119 | nb = nbformat.read(f, 'json') | |
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120 | ||
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121 | rst = convert_notebook(nb) | |
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122 | ||
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123 | newfname = os.path.splitext(fname)[0] + '.rst' | |
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124 | with open(newfname, 'w') as f: | |
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125 | f.write(rst.encode('utf8')) | |
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126 | ||
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127 | return newfname | |
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128 | ||
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129 | ||
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130 | def rst2simplehtml(fname): | |
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131 | """Convert a rst file to simplified html suitable for blogger. | |
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132 | ||
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133 | This just runs rst2html with certain parameters to produce really simple | |
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134 | html and strips the document header, so the resulting file can be easily | |
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135 | pasted into a blogger edit window. | |
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136 | """ | |
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137 | ||
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138 | # This is the template for the rst2html call that produces the cleanest, | |
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139 | # simplest html I could find. This should help in making it easier to | |
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140 | # paste into the blogspot html window, though I'm still having problems | |
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141 | # with linebreaks there... | |
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142 | cmd_template = ("rst2html --link-stylesheet --no-xml-declaration " | |
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143 | "--no-generator --no-datestamp --no-source-link " | |
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144 | "--no-toc-backlinks --no-section-numbering " | |
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145 | "--strip-comments ") | |
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146 | ||
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147 | cmd = "%s %s" % (cmd_template, fname) | |
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148 | proc = subprocess.Popen(cmd, | |
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149 | stdout=subprocess.PIPE, | |
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150 | stderr=subprocess.PIPE, | |
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151 | shell=True) | |
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152 | html, stderr = proc.communicate() | |
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153 | if stderr: | |
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154 | raise IOError(stderr) | |
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155 | ||
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156 | # Make an iterator so breaking out holds state. Our implementation of | |
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157 | # searching for the html body below is basically a trivial little state | |
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158 | # machine, so we need this. | |
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159 | walker = iter(html.splitlines()) | |
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160 | ||
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161 | # Find start of main text, break out to then print until we find end /div. | |
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162 | # This may only work if there's a real title defined so we get a 'div class' | |
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163 | # tag, I haven't really tried. | |
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164 | for line in walker: | |
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165 | if line.startswith('<div class'): | |
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166 | break | |
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167 | ||
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168 | newfname = os.path.splitext(fname)[0] + '.html' | |
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169 | with open(newfname, 'w') as f: | |
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170 | for line in walker: | |
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171 | if line.startswith('</div>'): | |
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172 | break | |
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173 | f.write(line) | |
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174 | f.write('\n') | |
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175 | ||
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176 | return newfname | |
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177 | ||
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178 | ||
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179 | def main(fname): | |
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180 | """Convert a notebook to html in one step""" | |
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181 | newfname = nb2rst(fname) | |
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182 | rst2simplehtml(newfname) | |
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183 | ||
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184 | ||
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185 | if __name__ == '__main__': | |
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186 | main(sys.argv[1]) |
@@ -0,0 +1,147 b'' | |||
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1 | { | |
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2 | "metadata": { | |
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3 | "name": "test" | |
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4 | }, | |
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5 | "nbformat": 3, | |
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6 | "worksheets": [ | |
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7 | { | |
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8 | "cells": [ | |
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9 | { | |
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10 | "cell_type": "heading", | |
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11 | "level": 1, | |
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12 | "source": [ | |
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13 | "H1" | |
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14 | ] | |
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15 | }, | |
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16 | { | |
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17 | "cell_type": "heading", | |
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18 | "level": 2, | |
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19 | "source": [ | |
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20 | "H2" | |
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21 | ] | |
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22 | }, | |
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23 | { | |
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24 | "cell_type": "heading", | |
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25 | "level": 3, | |
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26 | "source": [ | |
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27 | "H3" | |
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28 | ] | |
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29 | }, | |
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30 | { | |
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31 | "cell_type": "heading", | |
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32 | "level": 4, | |
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33 | "source": [ | |
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34 | "H4" | |
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35 | ] | |
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36 | }, | |
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37 | { | |
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38 | "cell_type": "heading", | |
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39 | "level": 5, | |
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40 | "source": [ | |
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41 | "H5" | |
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42 | ] | |
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43 | }, | |
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44 | { | |
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45 | "cell_type": "heading", | |
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46 | "level": 6, | |
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47 | "source": [ | |
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48 | "H6" | |
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49 | ] | |
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50 | }, | |
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51 | { | |
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52 | "cell_type": "markdown", | |
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53 | "source": [ | |
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54 | "A section heading", | |
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55 | "=================", | |
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56 | "", | |
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57 | "A bit of text, with *important things*:", | |
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58 | "", | |
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59 | "* and", | |
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60 | "* more", | |
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61 | "", | |
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62 | "Using reST links to `ipython <http://ipython.org>`_." | |
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63 | ] | |
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64 | }, | |
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65 | { | |
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66 | "cell_type": "code", | |
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67 | "collapsed": false, | |
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68 | "input": [ | |
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69 | "f = figure()", | |
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70 | "plot([1])", | |
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71 | "display(f)" | |
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72 | ], | |
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73 | "language": "python", | |
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74 | "outputs": [ | |
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75 | { | |
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76 | "output_type": "display_data", | |
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77 | "png": 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DoRAlAAAeIhLXzpBTQF/P2VdUVKihoUGlpaVyuVzt1mlpadGdO3d0+/Ztbdq0SdOmTQuO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\nAABLEQAAYCkCAAAs9X/vh7DYicSaVQAAAABJRU5ErkJggg==\n", | |
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78 | "text": [ | |
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79 | "<matplotlib.figure.Figure at 0x28f2750>" | |
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80 | ] | |
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81 | }, | |
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82 | { | |
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83 | "output_type": "display_data", | |
|
84 | "png": 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DoRAlAAAeIhLXzpBTQF/P2VdUVKihoUGlpaVyuVzt1mlpadGdO3d0+/Ztbdq0SdOmTQuO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\nAABLEQAAYCkCAAAs9X/vh7DYicSaVQAAAABJRU5ErkJggg==\n" | |
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85 | } | |
|
86 | ], | |
|
87 | "prompt_number": 1 | |
|
88 | }, | |
|
89 | { | |
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90 | "cell_type": "code", | |
|
91 | "collapsed": true, | |
|
92 | "input": [ | |
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93 | "# multiline input", | |
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94 | "x = 1", | |
|
95 | "y = 2" | |
|
96 | ], | |
|
97 | "language": "python", | |
|
98 | "outputs": [], | |
|
99 | "prompt_number": 2 | |
|
100 | }, | |
|
101 | { | |
|
102 | "cell_type": "code", | |
|
103 | "collapsed": false, | |
|
104 | "input": [ | |
|
105 | "1+2" | |
|
106 | ], | |
|
107 | "language": "python", | |
|
108 | "outputs": [ | |
|
109 | { | |
|
110 | "output_type": "pyout", | |
|
111 | "prompt_number": 3, | |
|
112 | "text": [ | |
|
113 | "3" | |
|
114 | ] | |
|
115 | } | |
|
116 | ], | |
|
117 | "prompt_number": 3 | |
|
118 | }, | |
|
119 | { | |
|
120 | "cell_type": "code", | |
|
121 | "collapsed": false, | |
|
122 | "input": [ | |
|
123 | "print 'hello world'" | |
|
124 | ], | |
|
125 | "language": "python", | |
|
126 | "outputs": [ | |
|
127 | { | |
|
128 | "output_type": "stream", | |
|
129 | "stream": "stdout", | |
|
130 | "text": [ | |
|
131 | "hello world" | |
|
132 | ] | |
|
133 | } | |
|
134 | ], | |
|
135 | "prompt_number": 4 | |
|
136 | }, | |
|
137 | { | |
|
138 | "cell_type": "code", | |
|
139 | "collapsed": true, | |
|
140 | "input": [], | |
|
141 | "language": "python", | |
|
142 | "outputs": [] | |
|
143 | } | |
|
144 | ] | |
|
145 | } | |
|
146 | ] | |
|
147 | } No newline at end of file |
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