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| @@ -1,162 +1,173 b'' | |||
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1 | 1 | # encoding: utf-8 |
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2 | 2 | """ |
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3 | 3 | IO capturing utilities. |
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4 | 4 | """ |
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5 | 5 | |
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6 | 6 | #----------------------------------------------------------------------------- |
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7 | 7 | # Copyright (C) 2013 The IPython Development Team |
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8 | 8 | # |
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9 | 9 | # Distributed under the terms of the BSD License. The full license is in |
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10 | 10 | # the file COPYING, distributed as part of this software. |
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11 | 11 | #----------------------------------------------------------------------------- |
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12 | 12 | from __future__ import print_function |
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13 | 13 | |
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14 | 14 | #----------------------------------------------------------------------------- |
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15 | 15 | # Imports |
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16 | 16 | #----------------------------------------------------------------------------- |
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17 | 17 | |
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18 | 18 | import sys |
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19 | 19 | from StringIO import StringIO |
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20 | 20 | |
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21 | 21 | #----------------------------------------------------------------------------- |
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22 | 22 | # Classes and functions |
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23 | 23 | #----------------------------------------------------------------------------- |
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24 | 24 | |
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25 | 25 | |
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26 | 26 | class RichOutput(object): |
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27 | 27 | def __init__(self, source, data, metadata): |
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28 | 28 | self.source = source |
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29 | 29 | self.data = data or {} |
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30 | 30 | self.metadata = metadata or {} |
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31 | 31 | |
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32 | 32 | def display(self): |
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33 | 33 | from IPython.display import publish_display_data |
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34 | 34 | publish_display_data(self.source, self.data, self.metadata) |
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35 | 35 | |
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36 | 36 | def _repr_mime_(self, mime): |
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37 | 37 | if mime not in self.data: |
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38 | 38 | return |
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39 | 39 | data = self.data[mime] |
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40 | 40 | if mime in self.metadata: |
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41 | 41 | return data, self.metadata[mime] |
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42 | 42 | else: |
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43 | 43 | return data |
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44 | 44 | |
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45 | 45 | def _repr_html_(self): |
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46 | 46 | return self._repr_mime_("text/html") |
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47 | 47 | |
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48 | 48 | def _repr_latex_(self): |
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49 | 49 | return self._repr_mime_("text/latex") |
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50 | 50 | |
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51 | 51 | def _repr_json_(self): |
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52 | 52 | return self._repr_mime_("application/json") |
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53 | 53 | |
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54 | 54 | def _repr_javascript_(self): |
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55 | 55 | return self._repr_mime_("application/javascript") |
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56 | 56 | |
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57 | 57 | def _repr_png_(self): |
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58 | 58 | return self._repr_mime_("image/png") |
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59 | 59 | |
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60 | 60 | def _repr_jpeg_(self): |
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61 | 61 | return self._repr_mime_("image/jpg") |
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62 | 62 | |
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63 | 63 | def _repr_svg_(self): |
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64 | 64 | return self._repr_mime_("image/svg+xml") |
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65 | 65 | |
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66 | 66 | |
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67 | 67 | class CapturedIO(object): |
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68 | 68 | """Simple object for containing captured stdout/err and rich display StringIO objects |
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69 | 69 | |
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70 | 70 | Each instance `c` has three attributes: |
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71 | 71 | |
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72 | 72 | c.stdout : standard output as a string |
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73 | 73 | c.stderr : standard error as a string |
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74 | 74 | c.outputs: a list of rich display outputs |
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75 | 75 | |
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76 | 76 | Additionally, there's a `c.show()` method which will print all of the |
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77 | 77 | above in the same order, and can be invoked simply via `c()`. |
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78 | 78 | """ |
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79 | 79 | |
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80 | 80 | def __init__(self, stdout, stderr, outputs=None): |
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81 | 81 | self._stdout = stdout |
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82 | 82 | self._stderr = stderr |
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83 | 83 | if outputs is None: |
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84 | 84 | outputs = [] |
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85 | 85 | self._outputs = outputs |
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86 | 86 | |
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87 | 87 | def __str__(self): |
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88 | 88 | return self.stdout |
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89 | 89 | |
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90 | 90 | @property |
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91 | 91 | def stdout(self): |
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92 | "Captured standard output" | |
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92 | 93 | if not self._stdout: |
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93 | 94 | return '' |
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94 | 95 | return self._stdout.getvalue() |
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95 | 96 | |
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96 | 97 | @property |
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97 | 98 | def stderr(self): |
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99 | "Captured standard error" | |
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98 | 100 | if not self._stderr: |
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99 | 101 | return '' |
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100 | 102 | return self._stderr.getvalue() |
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101 | 103 | |
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102 | 104 | @property |
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103 | 105 | def outputs(self): |
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106 | """A list of the captured rich display outputs, if any. | |
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107 | ||
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108 | If you have a CapturedIO object `c`, these can be displayed in IPython | |
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109 | using: | |
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110 | ||
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111 | from IPython.display import display | |
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112 | for o in c.outputs: | |
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113 | display(o) | |
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114 | """ | |
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104 | 115 | return [ RichOutput(s, d, md) for s, d, md in self._outputs ] |
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105 | 116 | |
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106 | 117 | def show(self): |
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107 | 118 | """write my output to sys.stdout/err as appropriate""" |
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108 | 119 | sys.stdout.write(self.stdout) |
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109 | 120 | sys.stderr.write(self.stderr) |
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110 | 121 | sys.stdout.flush() |
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111 | 122 | sys.stderr.flush() |
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112 | 123 | for source, data, metadata in self._outputs: |
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113 | 124 | RichOutput(source, data, metadata).display() |
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114 | 125 | |
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115 | 126 | __call__ = show |
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116 | 127 | |
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117 | 128 | |
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118 | 129 | class capture_output(object): |
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119 | 130 | """context manager for capturing stdout/err""" |
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120 | 131 | stdout = True |
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121 | 132 | stderr = True |
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122 | 133 | display = True |
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123 | 134 | |
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124 | 135 | def __init__(self, stdout=True, stderr=True, display=True): |
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125 | 136 | self.stdout = stdout |
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126 | 137 | self.stderr = stderr |
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127 | 138 | self.display = display |
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128 | 139 | self.shell = None |
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129 | 140 | |
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130 | 141 | def __enter__(self): |
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131 | 142 | from IPython.core.getipython import get_ipython |
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132 | 143 | from IPython.core.displaypub import CapturingDisplayPublisher |
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133 | 144 | |
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134 | 145 | self.sys_stdout = sys.stdout |
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135 | 146 | self.sys_stderr = sys.stderr |
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136 | 147 | |
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137 | 148 | if self.display: |
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138 | 149 | self.shell = get_ipython() |
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139 | 150 | if self.shell is None: |
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140 | 151 | self.save_display_pub = None |
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141 | 152 | self.display = False |
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142 | 153 | |
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143 | 154 | stdout = stderr = outputs = None |
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144 | 155 | if self.stdout: |
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145 | 156 | stdout = sys.stdout = StringIO() |
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146 | 157 | if self.stderr: |
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147 | 158 | stderr = sys.stderr = StringIO() |
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148 | 159 | if self.display: |
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149 | 160 | self.save_display_pub = self.shell.display_pub |
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150 | 161 | self.shell.display_pub = CapturingDisplayPublisher() |
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151 | 162 | outputs = self.shell.display_pub.outputs |
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152 | 163 | |
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153 | 164 | |
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154 | 165 | return CapturedIO(stdout, stderr, outputs) |
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155 | 166 | |
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156 | 167 | def __exit__(self, exc_type, exc_value, traceback): |
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157 | 168 | sys.stdout = self.sys_stdout |
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158 | 169 | sys.stderr = self.sys_stderr |
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159 | 170 | if self.display and self.shell: |
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160 | 171 | self.shell.display_pub = self.save_display_pub |
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161 | 172 | |
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162 | 173 | |
| @@ -1,1163 +1,1178 b'' | |||
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1 | 1 | { |
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2 | 2 | "metadata": { |
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3 | 3 | "name": "" |
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4 | 4 | }, |
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5 | 5 | "nbformat": 3, |
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6 | 6 | "nbformat_minor": 0, |
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7 | 7 | "worksheets": [ |
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8 | 8 | { |
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9 | 9 | "cells": [ |
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10 | 10 | { |
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11 | 11 | "cell_type": "heading", |
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12 | 12 | "level": 1, |
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13 | 13 | "metadata": {}, |
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14 | 14 | "source": [ |
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15 | 15 | "Basic Output" |
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16 | 16 | ] |
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17 | 17 | }, |
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18 | 18 | { |
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19 | 19 | "cell_type": "markdown", |
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20 | 20 | "metadata": {}, |
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21 | 21 | "source": [ |
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22 | 22 | "When a cell is run, it can generate *output*. In IPython, the definition of output is quite general; it can be text, images, LaTeX, HTML or JSON. All output is displayed below the code that generated it, in the *output area*.\n", |
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23 | 23 | "\n", |
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24 | 24 | "This Notebook describes the basics of output and shows how the `stdout/stderr` streams are handled." |
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25 | 25 | ] |
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26 | 26 | }, |
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27 | 27 | { |
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28 | 28 | "cell_type": "heading", |
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29 | 29 | "level": 2, |
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30 | 30 | "metadata": {}, |
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31 | 31 | "source": [ |
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32 | 32 | "Displayhook" |
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33 | 33 | ] |
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34 | 34 | }, |
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35 | 35 | { |
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36 | 36 | "cell_type": "markdown", |
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37 | 37 | "metadata": {}, |
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38 | 38 | "source": [ |
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39 | 39 | "When a Python object is returned by an expression, Python's `displayhook` mechanism is triggered. In IPython, this results in an output prompt, such as `Out[2]`. These objects are then available under the variables:\n", |
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40 | 40 | "\n", |
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41 | 41 | "* `_` (last output)\n", |
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42 | 42 | "* `__` (second to last output)\n", |
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43 | 43 | "* `_N` (`Out[N]`)" |
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44 | 44 | ] |
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45 | 45 | }, |
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46 | 46 | { |
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47 | 47 | "cell_type": "code", |
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48 | 48 | "collapsed": false, |
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49 | 49 | "input": [ |
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50 | 50 | "import numpy as np\n", |
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51 | 51 | "import sys" |
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52 | 52 | ], |
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53 | 53 | "language": "python", |
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54 | 54 | "metadata": {}, |
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55 | 55 | "outputs": [], |
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56 | 56 | "prompt_number": 1 |
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57 | 57 | }, |
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58 | 58 | { |
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59 | 59 | "cell_type": "code", |
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60 | 60 | "collapsed": false, |
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61 | 61 | "input": [ |
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62 | 62 | "np.random.rand(10)" |
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63 | 63 | ], |
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64 | 64 | "language": "python", |
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65 | 65 | "metadata": {}, |
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66 | 66 | "outputs": [ |
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67 | 67 | { |
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68 | 68 | "metadata": {}, |
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69 | 69 | "output_type": "pyout", |
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70 | 70 | "prompt_number": 2, |
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71 | 71 | "text": [ |
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72 | 72 | "array([ 0.75222263, 0.72102181, 0.15122973, 0.00386071, 0.21584229,\n", |
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73 | 73 | " 0.72508214, 0.16864276, 0.96639874, 0.92500381, 0.30806583])" |
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74 | 74 | ] |
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75 | 75 | } |
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76 | 76 | ], |
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77 | 77 | "prompt_number": 2 |
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78 | 78 | }, |
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79 | 79 | { |
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80 | 80 | "cell_type": "code", |
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81 | 81 | "collapsed": false, |
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82 | 82 | "input": [ |
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83 | 83 | "np.sin(_)" |
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84 | 84 | ], |
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85 | 85 | "language": "python", |
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86 | 86 | "metadata": {}, |
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87 | 87 | "outputs": [ |
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88 | 88 | { |
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89 | 89 | "metadata": {}, |
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90 | 90 | "output_type": "pyout", |
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91 | 91 | "prompt_number": 3, |
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92 | 92 | "text": [ |
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93 | 93 | "array([ 0.68326335, 0.66015253, 0.15065394, 0.0038607 , 0.21417025,\n", |
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94 | 94 | " 0.66319692, 0.16784452, 0.82284458, 0.79862306, 0.3032161 ])" |
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95 | 95 | ] |
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96 | 96 | } |
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97 | 97 | ], |
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98 | 98 | "prompt_number": 3 |
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99 | 99 | }, |
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100 | 100 | { |
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101 | 101 | "cell_type": "heading", |
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102 | 102 | "level": 2, |
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103 | 103 | "metadata": {}, |
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104 | 104 | "source": [ |
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105 | 105 | "sys.stdout and sys.stderr" |
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106 | 106 | ] |
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107 | 107 | }, |
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108 | 108 | { |
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109 | 109 | "cell_type": "markdown", |
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110 | 110 | "metadata": {}, |
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111 | 111 | "source": [ |
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112 | 112 | "The stdout and stderr streams are displayed as text in the output area." |
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113 | 113 | ] |
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114 | 114 | }, |
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115 | 115 | { |
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116 | 116 | "cell_type": "code", |
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117 | 117 | "collapsed": false, |
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118 | 118 | "input": [ |
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119 | 119 | "print(\"hi, stdout\")" |
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120 | 120 | ], |
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121 | 121 | "language": "python", |
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122 | 122 | "metadata": {}, |
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123 | 123 | "outputs": [ |
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124 | 124 | { |
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125 | 125 | "output_type": "stream", |
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126 | 126 | "stream": "stdout", |
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127 | 127 | "text": [ |
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128 | 128 | "hi, stdout\n" |
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129 | 129 | ] |
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130 | 130 | } |
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131 | 131 | ], |
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132 | 132 | "prompt_number": 4 |
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133 | 133 | }, |
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134 | 134 | { |
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135 | 135 | "cell_type": "code", |
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136 | 136 | "collapsed": false, |
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137 | 137 | "input": [ |
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138 | 138 | "from __future__ import print_function\n", |
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139 | 139 | "print('hi, stderr', file=sys.stderr)" |
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140 | 140 | ], |
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141 | 141 | "language": "python", |
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142 | 142 | "metadata": {}, |
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143 | 143 | "outputs": [ |
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144 | 144 | { |
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145 | 145 | "output_type": "stream", |
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146 | 146 | "stream": "stderr", |
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147 | 147 | "text": [ |
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148 | 148 | "hi, stderr\n" |
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149 | 149 | ] |
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150 | 150 | } |
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151 | 151 | ], |
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152 | 152 | "prompt_number": 5 |
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153 | 153 | }, |
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154 | 154 | { |
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155 | 155 | "cell_type": "heading", |
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156 | 156 | "level": 2, |
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157 | 157 | "metadata": {}, |
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158 | 158 | "source": [ |
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159 | 159 | "Output is asynchronous" |
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160 | 160 | ] |
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161 | 161 | }, |
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162 | 162 | { |
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163 | 163 | "cell_type": "markdown", |
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164 | 164 | "metadata": {}, |
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165 | 165 | "source": [ |
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166 | 166 | "All output is displayed asynchronously as it is generated in the Kernel. If you execute the next cell, you will see the output one piece at a time, not all at the end." |
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167 | 167 | ] |
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168 | 168 | }, |
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169 | 169 | { |
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170 | 170 | "cell_type": "code", |
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171 | 171 | "collapsed": false, |
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172 | 172 | "input": [ |
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173 | 173 | "import time, sys\n", |
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174 | 174 | "for i in range(8):\n", |
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175 | 175 | " print(i)\n", |
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176 | 176 | " time.sleep(0.5)" |
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177 | 177 | ], |
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178 | 178 | "language": "python", |
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179 | 179 | "metadata": {}, |
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180 | 180 | "outputs": [ |
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181 | 181 | { |
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182 | 182 | "output_type": "stream", |
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183 | 183 | "stream": "stdout", |
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184 | 184 | "text": [ |
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185 | 185 | "0\n", |
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186 | 186 | "1" |
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187 | 187 | ] |
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188 | 188 | }, |
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189 | 189 | { |
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190 | 190 | "output_type": "stream", |
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191 | 191 | "stream": "stdout", |
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192 | 192 | "text": [ |
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193 | 193 | "\n", |
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194 | 194 | "2" |
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195 | 195 | ] |
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196 | 196 | }, |
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197 | 197 | { |
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198 | 198 | "output_type": "stream", |
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199 | 199 | "stream": "stdout", |
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200 | 200 | "text": [ |
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201 | 201 | "\n", |
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202 | 202 | "3" |
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203 | 203 | ] |
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204 | 204 | }, |
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205 | 205 | { |
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206 | 206 | "output_type": "stream", |
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207 | 207 | "stream": "stdout", |
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208 | 208 | "text": [ |
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209 | 209 | "\n", |
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210 | 210 | "4" |
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211 | 211 | ] |
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212 | 212 | }, |
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213 | 213 | { |
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214 | 214 | "output_type": "stream", |
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215 | 215 | "stream": "stdout", |
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216 | 216 | "text": [ |
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217 | 217 | "\n", |
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218 | 218 | "5" |
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219 | 219 | ] |
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220 | 220 | }, |
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221 | 221 | { |
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222 | 222 | "output_type": "stream", |
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223 | 223 | "stream": "stdout", |
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224 | 224 | "text": [ |
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225 | 225 | "\n", |
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226 | 226 | "6" |
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227 | 227 | ] |
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228 | 228 | }, |
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229 | 229 | { |
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230 | 230 | "output_type": "stream", |
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231 | 231 | "stream": "stdout", |
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232 | 232 | "text": [ |
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233 | 233 | "\n", |
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234 | 234 | "7" |
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235 | 235 | ] |
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236 | 236 | }, |
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237 | 237 | { |
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238 | 238 | "output_type": "stream", |
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239 | 239 | "stream": "stdout", |
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240 | 240 | "text": [ |
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241 | 241 | "\n" |
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242 | 242 | ] |
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243 | 243 | } |
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244 | 244 | ], |
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245 | 245 | "prompt_number": 6 |
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246 | 246 | }, |
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247 | 247 | { |
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248 | 248 | "cell_type": "heading", |
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249 | 249 | "level": 2, |
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250 | 250 | "metadata": {}, |
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251 | 251 | "source": [ |
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252 | 252 | "Large outputs" |
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253 | 253 | ] |
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254 | 254 | }, |
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255 | 255 | { |
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256 | 256 | "cell_type": "markdown", |
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257 | 257 | "metadata": {}, |
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258 | 258 | "source": [ |
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259 | 259 | "To better handle large outputs, the output area can be collapsed. Run the following cell and then single- or double- click on the active area to the left of the output:" |
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260 | 260 | ] |
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261 | 261 | }, |
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262 | 262 | { |
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263 | 263 | "cell_type": "code", |
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264 | 264 | "collapsed": false, |
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265 | 265 | "input": [ |
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266 | 266 | "for i in range(50):\n", |
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267 | 267 | " print(i)" |
|
|
268 | 268 | ], |
|
|
269 | 269 | "language": "python", |
|
|
270 | 270 | "metadata": {}, |
|
|
271 | 271 | "outputs": [ |
|
|
272 | 272 | { |
|
|
273 | 273 | "output_type": "stream", |
|
|
274 | 274 | "stream": "stdout", |
|
|
275 | 275 | "text": [ |
|
|
276 | 276 | "0\n", |
|
|
277 | 277 | "1\n", |
|
|
278 | 278 | "2\n", |
|
|
279 | 279 | "3\n", |
|
|
280 | 280 | "4\n", |
|
|
281 | 281 | "5\n", |
|
|
282 | 282 | "6\n", |
|
|
283 | 283 | "7\n", |
|
|
284 | 284 | "8\n", |
|
|
285 | 285 | "9\n", |
|
|
286 | 286 | "10\n", |
|
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287 | 287 | "11\n", |
|
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288 | 288 | "12\n", |
|
|
289 | 289 | "13\n", |
|
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290 | 290 | "14\n", |
|
|
291 | 291 | "15\n", |
|
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292 | 292 | "16\n", |
|
|
293 | 293 | "17\n", |
|
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294 | 294 | "18\n", |
|
|
295 | 295 | "19\n", |
|
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296 | 296 | "20\n", |
|
|
297 | 297 | "21\n", |
|
|
298 | 298 | "22\n", |
|
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299 | 299 | "23\n", |
|
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300 | 300 | "24\n", |
|
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301 | 301 | "25\n", |
|
|
302 | 302 | "26\n", |
|
|
303 | 303 | "27\n", |
|
|
304 | 304 | "28\n", |
|
|
305 | 305 | "29\n", |
|
|
306 | 306 | "30\n", |
|
|
307 | 307 | "31\n", |
|
|
308 | 308 | "32\n", |
|
|
309 | 309 | "33\n", |
|
|
310 | 310 | "34\n", |
|
|
311 | 311 | "35\n", |
|
|
312 | 312 | "36\n", |
|
|
313 | 313 | "37\n", |
|
|
314 | 314 | "38\n", |
|
|
315 | 315 | "39\n", |
|
|
316 | 316 | "40\n", |
|
|
317 | 317 | "41\n", |
|
|
318 | 318 | "42\n", |
|
|
319 | 319 | "43\n", |
|
|
320 | 320 | "44\n", |
|
|
321 | 321 | "45\n", |
|
|
322 | 322 | "46\n", |
|
|
323 | 323 | "47\n", |
|
|
324 | 324 | "48\n", |
|
|
325 | 325 | "49\n" |
|
|
326 | 326 | ] |
|
|
327 | 327 | } |
|
|
328 | 328 | ], |
|
|
329 | 329 | "prompt_number": 7 |
|
|
330 | 330 | }, |
|
|
331 | 331 | { |
|
|
332 | 332 | "cell_type": "markdown", |
|
|
333 | 333 | "metadata": {}, |
|
|
334 | 334 | "source": [ |
|
|
335 | 335 | "Beyond a certain point, output will scroll automatically:" |
|
|
336 | 336 | ] |
|
|
337 | 337 | }, |
|
|
338 | 338 | { |
|
|
339 | 339 | "cell_type": "code", |
|
|
340 | 340 | "collapsed": false, |
|
|
341 | 341 | "input": [ |
|
|
342 | 342 | "for i in range(500):\n", |
|
|
343 | 343 | " print(2**i - 1)" |
|
|
344 | 344 | ], |
|
|
345 | 345 | "language": "python", |
|
|
346 | 346 | "metadata": {}, |
|
|
347 | 347 | "outputs": [ |
|
|
348 | 348 | { |
|
|
349 | 349 | "output_type": "stream", |
|
|
350 | 350 | "stream": "stdout", |
|
|
351 | 351 | "text": [ |
|
|
352 | 352 | "0\n", |
|
|
353 | 353 | "1\n", |
|
|
354 | 354 | "3\n", |
|
|
355 | 355 | "7\n", |
|
|
356 | 356 | "15\n", |
|
|
357 | 357 | "31\n", |
|
|
358 | 358 | "63\n", |
|
|
359 | 359 | "127\n", |
|
|
360 | 360 | "255\n", |
|
|
361 | 361 | "511\n", |
|
|
362 | 362 | "1023\n", |
|
|
363 | 363 | "2047\n", |
|
|
364 | 364 | "4095\n", |
|
|
365 | 365 | "8191\n", |
|
|
366 | 366 | "16383\n", |
|
|
367 | 367 | "32767\n", |
|
|
368 | 368 | "65535\n", |
|
|
369 | 369 | "131071\n", |
|
|
370 | 370 | "262143\n", |
|
|
371 | 371 | "524287\n", |
|
|
372 | 372 | "1048575\n", |
|
|
373 | 373 | "2097151\n", |
|
|
374 | 374 | "4194303\n", |
|
|
375 | 375 | "8388607\n", |
|
|
376 | 376 | "16777215\n", |
|
|
377 | 377 | "33554431\n", |
|
|
378 | 378 | "67108863\n", |
|
|
379 | 379 | "134217727\n", |
|
|
380 | 380 | "268435455\n", |
|
|
381 | 381 | "536870911\n", |
|
|
382 | 382 | "1073741823\n", |
|
|
383 | 383 | "2147483647\n", |
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384 | 384 | "4294967295\n", |
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385 | 385 | "8589934591\n", |
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|
386 | 386 | "17179869183\n", |
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387 | 387 | "34359738367\n", |
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|
388 | 388 | "68719476735\n", |
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|
389 | 389 | "137438953471\n", |
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390 | 390 | "274877906943\n", |
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|
391 | 391 | "549755813887\n", |
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392 | 392 | "1099511627775\n", |
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|
393 | 393 | "2199023255551\n", |
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394 | 394 | "4398046511103\n", |
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395 | 395 | "8796093022207\n", |
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396 | 396 | "17592186044415\n", |
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397 | 397 | "35184372088831\n", |
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398 | 398 | "70368744177663\n", |
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399 | 399 | "140737488355327\n", |
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400 | 400 | "281474976710655\n", |
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401 | 401 | "562949953421311\n", |
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402 | 402 | "1125899906842623\n", |
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403 | 403 | "2251799813685247\n", |
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|
404 | 404 | "4503599627370495\n", |
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|
405 | 405 | "9007199254740991\n", |
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406 | 406 | "18014398509481983\n", |
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407 | 407 | "36028797018963967\n", |
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408 | 408 | "72057594037927935\n", |
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409 | 409 | "144115188075855871\n", |
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410 | 410 | "288230376151711743\n", |
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411 | 411 | "576460752303423487\n", |
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|
412 | 412 | "1152921504606846975\n", |
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|
413 | 413 | "2305843009213693951\n", |
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|
414 | 414 | "4611686018427387903\n", |
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415 | 415 | "9223372036854775807\n", |
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416 | 416 | "18446744073709551615\n", |
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417 | 417 | "36893488147419103231\n", |
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418 | 418 | "73786976294838206463\n", |
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419 | 419 | "147573952589676412927\n", |
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420 | 420 | "295147905179352825855\n", |
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421 | 421 | "590295810358705651711\n", |
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422 | 422 | "1180591620717411303423\n", |
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423 | 423 | "2361183241434822606847\n", |
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424 | 424 | "4722366482869645213695\n", |
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425 | 425 | "9444732965739290427391\n", |
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426 | 426 | "18889465931478580854783\n", |
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427 | 427 | "37778931862957161709567\n", |
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428 | 428 | "75557863725914323419135\n", |
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429 | 429 | "151115727451828646838271\n", |
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430 | 430 | "302231454903657293676543\n", |
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431 | 431 | "604462909807314587353087\n", |
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432 | 432 | "1208925819614629174706175\n", |
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433 | 433 | "2417851639229258349412351\n", |
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434 | 434 | "4835703278458516698824703\n", |
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435 | 435 | "9671406556917033397649407\n", |
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436 | 436 | "19342813113834066795298815\n", |
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437 | 437 | "38685626227668133590597631\n", |
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438 | 438 | "77371252455336267181195263\n", |
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439 | 439 | "154742504910672534362390527\n", |
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440 | 440 | "309485009821345068724781055\n", |
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441 | 441 | "618970019642690137449562111\n", |
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442 | 442 | "1237940039285380274899124223\n", |
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443 | 443 | "2475880078570760549798248447\n", |
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444 | 444 | "4951760157141521099596496895\n", |
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445 | 445 | "9903520314283042199192993791\n", |
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446 | 446 | "19807040628566084398385987583\n", |
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447 | 447 | "39614081257132168796771975167\n", |
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448 | 448 | "79228162514264337593543950335\n", |
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449 | 449 | "158456325028528675187087900671\n", |
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450 | 450 | "316912650057057350374175801343\n", |
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451 | 451 | "633825300114114700748351602687\n", |
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452 | 452 | "1267650600228229401496703205375\n", |
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453 | 453 | "2535301200456458802993406410751\n", |
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454 | 454 | "5070602400912917605986812821503\n", |
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455 | 455 | "10141204801825835211973625643007\n", |
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456 | 456 | "20282409603651670423947251286015\n", |
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457 | 457 | "40564819207303340847894502572031\n", |
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458 | 458 | "81129638414606681695789005144063\n", |
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459 | 459 | "162259276829213363391578010288127\n", |
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460 | 460 | "324518553658426726783156020576255\n", |
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461 | 461 | "649037107316853453566312041152511\n", |
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462 | 462 | "1298074214633706907132624082305023\n", |
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463 | 463 | "2596148429267413814265248164610047\n", |
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464 | 464 | "5192296858534827628530496329220095\n", |
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465 | 465 | "10384593717069655257060992658440191\n", |
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466 | 466 | "20769187434139310514121985316880383\n", |
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467 | 467 | "41538374868278621028243970633760767\n", |
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468 | 468 | "83076749736557242056487941267521535\n", |
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469 | 469 | "166153499473114484112975882535043071\n", |
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470 | 470 | "332306998946228968225951765070086143\n", |
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471 | 471 | "664613997892457936451903530140172287\n", |
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473 | 473 | "2658455991569831745807614120560689151\n", |
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475 | 475 | "10633823966279326983230456482242756607\n", |
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477 | 477 | "42535295865117307932921825928971026431\n", |
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478 | 478 | "85070591730234615865843651857942052863\n", |
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480 | 480 | "340282366920938463463374607431768211455\n", |
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481 | 481 | "680564733841876926926749214863536422911\n", |
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482 | 482 | "1361129467683753853853498429727072845823\n", |
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483 | 483 | "2722258935367507707706996859454145691647\n", |
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484 | 484 | "5444517870735015415413993718908291383295\n", |
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485 | 485 | "10889035741470030830827987437816582766591\n", |
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486 | 486 | "21778071482940061661655974875633165533183\n", |
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487 | 487 | "43556142965880123323311949751266331066367\n", |
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488 | 488 | "87112285931760246646623899502532662132735\n", |
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489 | 489 | "174224571863520493293247799005065324265471\n", |
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490 | 490 | "348449143727040986586495598010130648530943\n", |
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491 | 491 | "696898287454081973172991196020261297061887\n", |
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492 | 492 | "1393796574908163946345982392040522594123775\n", |
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493 | 493 | "2787593149816327892691964784081045188247551\n", |
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494 | 494 | "5575186299632655785383929568162090376495103\n", |
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495 | 495 | "11150372599265311570767859136324180752990207\n", |
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496 | 496 | "22300745198530623141535718272648361505980415\n", |
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497 | 497 | "44601490397061246283071436545296723011960831\n", |
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498 | 498 | "89202980794122492566142873090593446023921663\n", |
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499 | 499 | "178405961588244985132285746181186892047843327\n", |
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500 | 500 | "356811923176489970264571492362373784095686655\n", |
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501 | 501 | "713623846352979940529142984724747568191373311\n", |
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507 | 507 | "45671926166590716193865151022383844364247891967\n", |
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514 | 514 | "5846006549323611672814739330865132078623730171903\n", |
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515 | 515 | "11692013098647223345629478661730264157247460343807\n", |
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520 | 520 | "374144419156711147060143317175368453031918731001855\n", |
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521 | 521 | "748288838313422294120286634350736906063837462003711\n", |
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546 | 546 | "25108406941546723055343157692830665664409421777856138051583\n", |
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547 | 547 | "50216813883093446110686315385661331328818843555712276103167\n", |
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560 | 560 | "411376139330301510538742295639337626245683966408394965837152255\n", |
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710 | 710 | "587135645693458306972370149197334256843920637227079967676822742883052256278652110865924749596192175757983743\n", |
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711 | 711 | "1174271291386916613944740298394668513687841274454159935353645485766104512557304221731849499192384351515967487\n", |
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716 | 716 | "37576681324381331646231689548629392438010920782533117931316655544515344401833735095419183974156299248510959615\n", |
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718 | 718 | "150306725297525326584926758194517569752043683130132471725266622178061377607334940381676735896625196994043838463\n", |
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721 | 721 | "1202453802380202612679414065556140558016349465041059773802132977424491020858679523053413887173001575952350707711\n", |
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725 | 725 | "19239260838083241802870625048898248928261591440656956380834127638791856333738872368854622194768025215237611323391\n", |
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728 | 728 | "153914086704665934422965000391185991426092731525255651046673021110334850669910978950836977558144201721900890587135\n", |
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730 | 730 | "615656346818663737691860001564743965704370926101022604186692084441339402679643915803347910232576806887603562348543\n", |
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731 | 731 | "1231312693637327475383720003129487931408741852202045208373384168882678805359287831606695820465153613775207124697087\n", |
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732 | 732 | "2462625387274654950767440006258975862817483704404090416746768337765357610718575663213391640930307227550414249394175\n", |
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737 | 737 | "78804012392788958424558080200287227610159478540930893335896586808491443542994421222828532509769831281613255980613631\n", |
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740 | 740 | "630432099142311667396464641602297820881275828327447146687172694467931548343955369782628260078158650252906047844909055\n", |
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743 | 743 | "5043456793138493339171717132818382567050206626619577173497381555743452386751642958261026080625269202023248382759272447\n", |
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744 | 744 | "10086913586276986678343434265636765134100413253239154346994763111486904773503285916522052161250538404046496765518544895\n", |
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745 | 745 | "20173827172553973356686868531273530268200826506478308693989526222973809547006571833044104322501076808092993531037089791\n", |
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746 | 746 | "40347654345107946713373737062547060536401653012956617387979052445947619094013143666088208645002153616185987062074179583\n", |
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747 | 747 | "80695308690215893426747474125094121072803306025913234775958104891895238188026287332176417290004307232371974124148359167\n", |
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748 | 748 | "161390617380431786853494948250188242145606612051826469551916209783790476376052574664352834580008614464743948248296718335\n", |
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750 | 750 | "645562469521727147413979793000752968582426448207305878207664839135161905504210298657411338320034457858975792993186873343\n", |
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751 | 751 | "1291124939043454294827959586001505937164852896414611756415329678270323811008420597314822676640068915717951585986373746687\n", |
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752 | 752 | "2582249878086908589655919172003011874329705792829223512830659356540647622016841194629645353280137831435903171972747493375\n", |
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753 | 753 | "5164499756173817179311838344006023748659411585658447025661318713081295244033682389259290706560275662871806343945494986751\n", |
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754 | 754 | "10328999512347634358623676688012047497318823171316894051322637426162590488067364778518581413120551325743612687890989973503\n", |
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755 | 755 | "20657999024695268717247353376024094994637646342633788102645274852325180976134729557037162826241102651487225375781979947007\n", |
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756 | 756 | "41315998049390537434494706752048189989275292685267576205290549704650361952269459114074325652482205302974450751563959894015\n", |
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757 | 757 | "82631996098781074868989413504096379978550585370535152410581099409300723904538918228148651304964410605948901503127919788031\n", |
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758 | 758 | "165263992197562149737978827008192759957101170741070304821162198818601447809077836456297302609928821211897803006255839576063\n", |
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759 | 759 | "330527984395124299475957654016385519914202341482140609642324397637202895618155672912594605219857642423795606012511679152127\n", |
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760 | 760 | "661055968790248598951915308032771039828404682964281219284648795274405791236311345825189210439715284847591212025023358304255\n", |
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761 | 761 | "1322111937580497197903830616065542079656809365928562438569297590548811582472622691650378420879430569695182424050046716608511\n", |
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762 | 762 | "2644223875160994395807661232131084159313618731857124877138595181097623164945245383300756841758861139390364848100093433217023\n", |
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763 | 763 | "5288447750321988791615322464262168318627237463714249754277190362195246329890490766601513683517722278780729696200186866434047\n", |
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764 | 764 | "10576895500643977583230644928524336637254474927428499508554380724390492659780981533203027367035444557561459392400373732868095\n", |
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765 | 765 | "21153791001287955166461289857048673274508949854856999017108761448780985319561963066406054734070889115122918784800747465736191\n", |
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766 | 766 | "42307582002575910332922579714097346549017899709713998034217522897561970639123926132812109468141778230245837569601494931472383\n", |
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767 | 767 | "84615164005151820665845159428194693098035799419427996068435045795123941278247852265624218936283556460491675139202989862944767\n", |
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768 | 768 | "169230328010303641331690318856389386196071598838855992136870091590247882556495704531248437872567112920983350278405979725889535\n", |
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769 | 769 | "338460656020607282663380637712778772392143197677711984273740183180495765112991409062496875745134225841966700556811959451779071\n", |
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770 | 770 | "676921312041214565326761275425557544784286395355423968547480366360991530225982818124993751490268451683933401113623918903558143\n", |
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771 | 771 | "1353842624082429130653522550851115089568572790710847937094960732721983060451965636249987502980536903367866802227247837807116287\n", |
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772 | 772 | "2707685248164858261307045101702230179137145581421695874189921465443966120903931272499975005961073806735733604454495675614232575\n", |
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773 | 773 | "5415370496329716522614090203404460358274291162843391748379842930887932241807862544999950011922147613471467208908991351228465151\n", |
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774 | 774 | "10830740992659433045228180406808920716548582325686783496759685861775864483615725089999900023844295226942934417817982702456930303\n", |
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775 | 775 | "21661481985318866090456360813617841433097164651373566993519371723551728967231450179999800047688590453885868835635965404913860607\n", |
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776 | 776 | "43322963970637732180912721627235682866194329302747133987038743447103457934462900359999600095377180907771737671271930809827721215\n", |
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777 | 777 | "86645927941275464361825443254471365732388658605494267974077486894206915868925800719999200190754361815543475342543861619655442431\n", |
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778 | 778 | "173291855882550928723650886508942731464777317210988535948154973788413831737851601439998400381508723631086950685087723239310884863\n", |
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779 | 779 | "346583711765101857447301773017885462929554634421977071896309947576827663475703202879996800763017447262173901370175446478621769727\n", |
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780 | 780 | "693167423530203714894603546035770925859109268843954143792619895153655326951406405759993601526034894524347802740350892957243539455\n", |
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781 | 781 | "1386334847060407429789207092071541851718218537687908287585239790307310653902812811519987203052069789048695605480701785914487078911\n", |
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782 | 782 | "2772669694120814859578414184143083703436437075375816575170479580614621307805625623039974406104139578097391210961403571828974157823\n", |
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783 | 783 | "5545339388241629719156828368286167406872874150751633150340959161229242615611251246079948812208279156194782421922807143657948315647\n", |
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784 | 784 | "11090678776483259438313656736572334813745748301503266300681918322458485231222502492159897624416558312389564843845614287315896631295\n", |
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785 | 785 | "22181357552966518876627313473144669627491496603006532601363836644916970462445004984319795248833116624779129687691228574631793262591\n", |
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786 | 786 | "44362715105933037753254626946289339254982993206013065202727673289833940924890009968639590497666233249558259375382457149263586525183\n", |
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787 | 787 | "88725430211866075506509253892578678509965986412026130405455346579667881849780019937279180995332466499116518750764914298527173050367\n", |
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788 | 788 | "177450860423732151013018507785157357019931972824052260810910693159335763699560039874558361990664932998233037501529828597054346100735\n", |
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789 | 789 | "354901720847464302026037015570314714039863945648104521621821386318671527399120079749116723981329865996466075003059657194108692201471\n", |
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790 | 790 | "709803441694928604052074031140629428079727891296209043243642772637343054798240159498233447962659731992932150006119314388217384402943\n", |
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791 | 791 | "1419606883389857208104148062281258856159455782592418086487285545274686109596480318996466895925319463985864300012238628776434768805887\n", |
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792 | 792 | "2839213766779714416208296124562517712318911565184836172974571090549372219192960637992933791850638927971728600024477257552869537611775\n", |
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793 | 793 | "5678427533559428832416592249125035424637823130369672345949142181098744438385921275985867583701277855943457200048954515105739075223551\n", |
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794 | 794 | "11356855067118857664833184498250070849275646260739344691898284362197488876771842551971735167402555711886914400097909030211478150447103\n", |
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795 | 795 | "22713710134237715329666368996500141698551292521478689383796568724394977753543685103943470334805111423773828800195818060422956300894207\n", |
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796 | 796 | "45427420268475430659332737993000283397102585042957378767593137448789955507087370207886940669610222847547657600391636120845912601788415\n", |
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797 | 797 | "90854840536950861318665475986000566794205170085914757535186274897579911014174740415773881339220445695095315200783272241691825203576831\n", |
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798 | 798 | "181709681073901722637330951972001133588410340171829515070372549795159822028349480831547762678440891390190630401566544483383650407153663\n", |
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799 | 799 | "363419362147803445274661903944002267176820680343659030140745099590319644056698961663095525356881782780381260803133088966767300814307327\n", |
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800 | 800 | "726838724295606890549323807888004534353641360687318060281490199180639288113397923326191050713763565560762521606266177933534601628614655\n", |
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801 | 801 | "1453677448591213781098647615776009068707282721374636120562980398361278576226795846652382101427527131121525043212532355867069203257229311\n", |
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802 | 802 | "2907354897182427562197295231552018137414565442749272241125960796722557152453591693304764202855054262243050086425064711734138406514458623\n", |
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803 | 803 | "5814709794364855124394590463104036274829130885498544482251921593445114304907183386609528405710108524486100172850129423468276813028917247\n", |
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804 | 804 | "11629419588729710248789180926208072549658261770997088964503843186890228609814366773219056811420217048972200345700258846936553626057834495\n", |
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805 | 805 | "23258839177459420497578361852416145099316523541994177929007686373780457219628733546438113622840434097944400691400517693873107252115668991\n", |
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806 | 806 | "46517678354918840995156723704832290198633047083988355858015372747560914439257467092876227245680868195888801382801035387746214504231337983\n", |
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807 | 807 | "93035356709837681990313447409664580397266094167976711716030745495121828878514934185752454491361736391777602765602070775492429008462675967\n", |
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808 | 808 | "186070713419675363980626894819329160794532188335953423432061490990243657757029868371504908982723472783555205531204141550984858016925351935\n", |
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809 | 809 | "372141426839350727961253789638658321589064376671906846864122981980487315514059736743009817965446945567110411062408283101969716033850703871\n", |
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810 | 810 | "744282853678701455922507579277316643178128753343813693728245963960974631028119473486019635930893891134220822124816566203939432067701407743\n", |
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811 | 811 | "1488565707357402911845015158554633286356257506687627387456491927921949262056238946972039271861787782268441644249633132407878864135402815487\n", |
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812 | 812 | "2977131414714805823690030317109266572712515013375254774912983855843898524112477893944078543723575564536883288499266264815757728270805630975\n", |
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813 | 813 | "5954262829429611647380060634218533145425030026750509549825967711687797048224955787888157087447151129073766576998532529631515456541611261951\n", |
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814 | 814 | "11908525658859223294760121268437066290850060053501019099651935423375594096449911575776314174894302258147533153997065059263030913083222523903\n", |
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815 | 815 | "23817051317718446589520242536874132581700120107002038199303870846751188192899823151552628349788604516295066307994130118526061826166445047807\n", |
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816 | 816 | "47634102635436893179040485073748265163400240214004076398607741693502376385799646303105256699577209032590132615988260237052123652332890095615\n", |
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817 | 817 | "95268205270873786358080970147496530326800480428008152797215483387004752771599292606210513399154418065180265231976520474104247304665780191231\n", |
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818 | 818 | "190536410541747572716161940294993060653600960856016305594430966774009505543198585212421026798308836130360530463953040948208494609331560382463\n", |
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819 | 819 | "381072821083495145432323880589986121307201921712032611188861933548019011086397170424842053596617672260721060927906081896416989218663120764927\n", |
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820 | 820 | "762145642166990290864647761179972242614403843424065222377723867096038022172794340849684107193235344521442121855812163792833978437326241529855\n", |
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821 | 821 | "1524291284333980581729295522359944485228807686848130444755447734192076044345588681699368214386470689042884243711624327585667956874652483059711\n", |
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822 | 822 | "3048582568667961163458591044719888970457615373696260889510895468384152088691177363398736428772941378085768487423248655171335913749304966119423\n", |
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823 | 823 | "6097165137335922326917182089439777940915230747392521779021790936768304177382354726797472857545882756171536974846497310342671827498609932238847\n", |
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824 | 824 | "12194330274671844653834364178879555881830461494785043558043581873536608354764709453594945715091765512343073949692994620685343654997219864477695\n", |
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825 | 825 | "24388660549343689307668728357759111763660922989570087116087163747073216709529418907189891430183531024686147899385989241370687309994439728955391\n", |
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826 | 826 | "48777321098687378615337456715518223527321845979140174232174327494146433419058837814379782860367062049372295798771978482741374619988879457910783\n", |
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827 | 827 | "97554642197374757230674913431036447054643691958280348464348654988292866838117675628759565720734124098744591597543956965482749239977758915821567\n", |
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828 | 828 | "195109284394749514461349826862072894109287383916560696928697309976585733676235351257519131441468248197489183195087913930965498479955517831643135\n", |
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829 | 829 | "390218568789499028922699653724145788218574767833121393857394619953171467352470702515038262882936496394978366390175827861930996959911035663286271\n", |
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831 | 831 | "1560874275157996115690798614896583152874299071332485575429578479812685869409882810060153051531745985579913465560703311447723987839644142653145087\n", |
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832 | 832 | "3121748550315992231381597229793166305748598142664971150859156959625371738819765620120306103063491971159826931121406622895447975679288285306290175\n", |
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833 | 833 | "6243497100631984462763194459586332611497196285329942301718313919250743477639531240240612206126983942319653862242813245790895951358576570612580351\n", |
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834 | 834 | "12486994201263968925526388919172665222994392570659884603436627838501486955279062480481224412253967884639307724485626491581791902717153141225160703\n", |
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835 | 835 | "24973988402527937851052777838345330445988785141319769206873255677002973910558124960962448824507935769278615448971252983163583805434306282450321407\n", |
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836 | 836 | "49947976805055875702105555676690660891977570282639538413746511354005947821116249921924897649015871538557230897942505966327167610868612564900642815\n", |
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837 | 837 | "99895953610111751404211111353381321783955140565279076827493022708011895642232499843849795298031743077114461795885011932654335221737225129801285631\n", |
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838 | 838 | "199791907220223502808422222706762643567910281130558153654986045416023791284464999687699590596063486154228923591770023865308670443474450259602571263\n", |
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839 | 839 | "399583814440447005616844445413525287135820562261116307309972090832047582568929999375399181192126972308457847183540047730617340886948900519205142527\n", |
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840 | 840 | "799167628880894011233688890827050574271641124522232614619944181664095165137859998750798362384253944616915694367080095461234681773897801038410285055\n", |
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841 | 841 | "1598335257761788022467377781654101148543282249044465229239888363328190330275719997501596724768507889233831388734160190922469363547795602076820570111\n", |
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842 | 842 | "3196670515523576044934755563308202297086564498088930458479776726656380660551439995003193449537015778467662777468320381844938727095591204153641140223\n", |
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843 | 843 | "6393341031047152089869511126616404594173128996177860916959553453312761321102879990006386899074031556935325554936640763689877454191182408307282280447\n", |
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844 | 844 | "12786682062094304179739022253232809188346257992355721833919106906625522642205759980012773798148063113870651109873281527379754908382364816614564560895\n", |
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845 | 845 | "25573364124188608359478044506465618376692515984711443667838213813251045284411519960025547596296126227741302219746563054759509816764729633229129121791\n", |
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846 | 846 | "51146728248377216718956089012931236753385031969422887335676427626502090568823039920051095192592252455482604439493126109519019633529459266458258243583\n", |
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847 | 847 | "102293456496754433437912178025862473506770063938845774671352855253004181137646079840102190385184504910965208878986252219038039267058918532916516487167\n", |
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848 | 848 | "204586912993508866875824356051724947013540127877691549342705710506008362275292159680204380770369009821930417757972504438076078534117837065833032974335\n", |
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849 | 849 | "409173825987017733751648712103449894027080255755383098685411421012016724550584319360408761540738019643860835515945008876152157068235674131666065948671\n", |
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850 | 850 | "818347651974035467503297424206899788054160511510766197370822842024033449101168638720817523081476039287721671031890017752304314136471348263332131897343\n", |
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851 | 851 | "1636695303948070935006594848413799576108321023021532394741645684048066898202337277441635046162952078575443342063780035504608628272942696526664263794687\n" |
|
|
852 | 852 | ] |
|
|
853 | 853 | } |
|
|
854 | 854 | ], |
|
|
855 | 855 | "prompt_number": 8 |
|
|
856 | 856 | }, |
|
|
857 | 857 | { |
|
|
858 | 858 | "cell_type": "heading", |
|
|
859 | 859 | "level": 2, |
|
|
860 | 860 | "metadata": {}, |
|
|
861 | 861 | "source": [ |
|
|
862 | 862 | "Capturing output with <tt>%%capture</tt>" |
|
|
863 | 863 | ] |
|
|
864 | 864 | }, |
|
|
865 | 865 | { |
|
|
866 | 866 | "cell_type": "markdown", |
|
|
867 | 867 | "metadata": {}, |
|
|
868 | 868 | "source": [ |
|
|
869 | "IPython has a cell magic, `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable." | |
|
|
869 | "IPython has a [cell magic](Cell%20Magics.ipynb), `%%capture`, which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable." | |
|
|
870 | 870 | ] |
|
|
871 | 871 | }, |
|
|
872 | 872 | { |
|
|
873 | 873 | "cell_type": "code", |
|
|
874 | 874 | "collapsed": false, |
|
|
875 | 875 | "input": [ |
|
|
876 | 876 | "from __future__ import print_function\n", |
|
|
877 | 877 | "import sys" |
|
|
878 | 878 | ], |
|
|
879 | 879 | "language": "python", |
|
|
880 | 880 | "metadata": {}, |
|
|
881 | 881 | "outputs": [], |
|
|
882 | 882 | "prompt_number": 9 |
|
|
883 | 883 | }, |
|
|
884 | 884 | { |
|
|
885 | 885 | "cell_type": "markdown", |
|
|
886 | 886 | "metadata": {}, |
|
|
887 | 887 | "source": [ |
|
|
888 | 888 | "By default, `%%capture` discards these streams. This is a simple way to suppress unwanted output." |
|
|
889 | 889 | ] |
|
|
890 | 890 | }, |
|
|
891 | 891 | { |
|
|
892 | 892 | "cell_type": "code", |
|
|
893 | 893 | "collapsed": false, |
|
|
894 | 894 | "input": [ |
|
|
895 | 895 | "%%capture\n", |
|
|
896 | 896 | "print('hi, stdout')\n", |
|
|
897 | 897 | "print('hi, stderr', file=sys.stderr)" |
|
|
898 | 898 | ], |
|
|
899 | 899 | "language": "python", |
|
|
900 | 900 | "metadata": {}, |
|
|
901 | 901 | "outputs": [], |
|
|
902 | 902 | "prompt_number": 10 |
|
|
903 | 903 | }, |
|
|
904 | 904 | { |
|
|
905 | 905 | "cell_type": "markdown", |
|
|
906 | 906 | "metadata": {}, |
|
|
907 | 907 | "source": [ |
|
|
908 | 908 | "If you specify a name, then stdout/stderr will be stored in an object in your namespace." |
|
|
909 | 909 | ] |
|
|
910 | 910 | }, |
|
|
911 | 911 | { |
|
|
912 | 912 | "cell_type": "code", |
|
|
913 | 913 | "collapsed": false, |
|
|
914 | 914 | "input": [ |
|
|
915 | 915 | "%%capture captured\n", |
|
|
916 | 916 | "print('hi, stdout')\n", |
|
|
917 | 917 | "print('hi, stderr', file=sys.stderr)" |
|
|
918 | 918 | ], |
|
|
919 | 919 | "language": "python", |
|
|
920 | 920 | "metadata": {}, |
|
|
921 | 921 | "outputs": [], |
|
|
922 | 922 | "prompt_number": 11 |
|
|
923 | 923 | }, |
|
|
924 | 924 | { |
|
|
925 | 925 | "cell_type": "code", |
|
|
926 | 926 | "collapsed": false, |
|
|
927 | 927 | "input": [ |
|
|
928 | 928 | "captured" |
|
|
929 | 929 | ], |
|
|
930 | 930 | "language": "python", |
|
|
931 | 931 | "metadata": {}, |
|
|
932 | 932 | "outputs": [ |
|
|
933 | 933 | { |
|
|
934 | 934 | "metadata": {}, |
|
|
935 | 935 | "output_type": "pyout", |
|
|
936 | 936 | "prompt_number": 12, |
|
|
937 | 937 | "text": [ |
|
|
938 |
"<IPython.utils. |
|
|
|
938 | "<IPython.utils.capture.CapturedIO at 0x2b9f710>" | |
|
|
939 | 939 | ] |
|
|
940 | 940 | } |
|
|
941 | 941 | ], |
|
|
942 | 942 | "prompt_number": 12 |
|
|
943 | 943 | }, |
|
|
944 | 944 | { |
|
|
945 | 945 | "cell_type": "markdown", |
|
|
946 | 946 | "metadata": {}, |
|
|
947 | 947 | "source": [ |
|
|
948 | 948 | "Calling the object writes the output to stdout/stderr as appropriate." |
|
|
949 | 949 | ] |
|
|
950 | 950 | }, |
|
|
951 | 951 | { |
|
|
952 | 952 | "cell_type": "code", |
|
|
953 | 953 | "collapsed": false, |
|
|
954 | 954 | "input": [ |
|
|
955 | 955 | "captured()" |
|
|
956 | 956 | ], |
|
|
957 | 957 | "language": "python", |
|
|
958 | 958 | "metadata": {}, |
|
|
959 | 959 | "outputs": [ |
|
|
960 | 960 | { |
|
|
961 | 961 | "output_type": "stream", |
|
|
962 | 962 | "stream": "stdout", |
|
|
963 | 963 | "text": [ |
|
|
964 | 964 | "hi, stdout\n" |
|
|
965 | 965 | ] |
|
|
966 | 966 | }, |
|
|
967 | 967 | { |
|
|
968 | 968 | "output_type": "stream", |
|
|
969 | 969 | "stream": "stderr", |
|
|
970 | 970 | "text": [ |
|
|
971 | 971 | "hi, stderr\n" |
|
|
972 | 972 | ] |
|
|
973 | 973 | } |
|
|
974 | 974 | ], |
|
|
975 | 975 | "prompt_number": 13 |
|
|
976 | 976 | }, |
|
|
977 | 977 | { |
|
|
978 | 978 | "cell_type": "code", |
|
|
979 | 979 | "collapsed": false, |
|
|
980 | 980 | "input": [ |
|
|
981 | 981 | "captured.stdout" |
|
|
982 | 982 | ], |
|
|
983 | 983 | "language": "python", |
|
|
984 | 984 | "metadata": {}, |
|
|
985 | 985 | "outputs": [ |
|
|
986 | 986 | { |
|
|
987 | 987 | "metadata": {}, |
|
|
988 | 988 | "output_type": "pyout", |
|
|
989 | 989 | "prompt_number": 14, |
|
|
990 | 990 | "text": [ |
|
|
991 | 991 | "'hi, stdout\\n'" |
|
|
992 | 992 | ] |
|
|
993 | 993 | } |
|
|
994 | 994 | ], |
|
|
995 | 995 | "prompt_number": 14 |
|
|
996 | 996 | }, |
|
|
997 | 997 | { |
|
|
998 | 998 | "cell_type": "code", |
|
|
999 | 999 | "collapsed": false, |
|
|
1000 | 1000 | "input": [ |
|
|
1001 | 1001 | "captured.stderr" |
|
|
1002 | 1002 | ], |
|
|
1003 | 1003 | "language": "python", |
|
|
1004 | 1004 | "metadata": {}, |
|
|
1005 | 1005 | "outputs": [ |
|
|
1006 | 1006 | { |
|
|
1007 | 1007 | "metadata": {}, |
|
|
1008 | 1008 | "output_type": "pyout", |
|
|
1009 | 1009 | "prompt_number": 15, |
|
|
1010 | 1010 | "text": [ |
|
|
1011 | 1011 | "'hi, stderr\\n'" |
|
|
1012 | 1012 | ] |
|
|
1013 | 1013 | } |
|
|
1014 | 1014 | ], |
|
|
1015 | 1015 | "prompt_number": 15 |
|
|
1016 | 1016 | }, |
|
|
1017 | 1017 | { |
|
|
1018 | 1018 | "cell_type": "markdown", |
|
|
1019 | 1019 | "metadata": {}, |
|
|
1020 | 1020 | "source": [ |
|
|
1021 |
"`%%capture` |
|
|
|
1021 | "`%%capture` grabs all output types, not just stdout/stderr, so you can do plots and use IPython's display system inside `%%capture`" | |
|
|
1022 | 1022 | ] |
|
|
1023 | 1023 | }, |
|
|
1024 | 1024 | { |
|
|
1025 | 1025 | "cell_type": "code", |
|
|
1026 | 1026 | "collapsed": false, |
|
|
1027 | 1027 | "input": [ |
|
|
1028 | 1028 | "%matplotlib inline\n", |
|
|
1029 | 1029 | "import matplotlib.pyplot as plt\n", |
|
|
1030 | 1030 | "import numpy as np" |
|
|
1031 | 1031 | ], |
|
|
1032 | 1032 | "language": "python", |
|
|
1033 | 1033 | "metadata": {}, |
|
|
1034 | 1034 | "outputs": [], |
|
|
1035 | 1035 | "prompt_number": 16 |
|
|
1036 | 1036 | }, |
|
|
1037 | 1037 | { |
|
|
1038 | 1038 | "cell_type": "code", |
|
|
1039 | 1039 | "collapsed": false, |
|
|
1040 | 1040 | "input": [ |
|
|
1041 | 1041 | "%%capture wontshutup\n", |
|
|
1042 | 1042 | "\n", |
|
|
1043 | 1043 | "print(\"setting up X\")\n", |
|
|
1044 | 1044 | "x = np.linspace(0,5,1000)\n", |
|
|
1045 | 1045 | "print(\"step 2: constructing y-data\")\n", |
|
|
1046 | 1046 | "y = np.sin(x)\n", |
|
|
1047 | 1047 | "print(\"step 3: display info about y\")\n", |
|
|
1048 | 1048 | "plt.plot(x,y)\n", |
|
|
1049 | 1049 | "print(\"okay, I'm done now\")" |
|
|
1050 | 1050 | ], |
|
|
1051 | 1051 | "language": "python", |
|
|
1052 | 1052 | "metadata": {}, |
|
|
1053 | "outputs": [ | |
|
|
1054 | { | |
|
|
1055 | "output_type": "display_data", | |
|
|
1056 | "png": 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8aAr0xo0wfboZ9f/3v1C2rDlmoVw5KFbMfK7bDUePmtM0zzY57rjDfDRoYFb8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\nRU5ErkJggg==\n", | |
|
|
1057 | "text": [ | |
|
|
1058 | "<matplotlib.figure.Figure at 0x108356ed0>" | |
|
|
1059 | ] | |
|
|
1060 | } | |
|
|
1061 | ], | |
|
|
1053 | "outputs": [], | |
|
|
1062 | 1054 | "prompt_number": 17 |
|
|
1063 | 1055 | }, |
|
|
1064 | 1056 | { |
|
|
1065 | 1057 | "cell_type": "code", |
|
|
1066 | 1058 | "collapsed": false, |
|
|
1067 | 1059 | "input": [ |
|
|
1068 | 1060 | "wontshutup()" |
|
|
1069 | 1061 | ], |
|
|
1070 | 1062 | "language": "python", |
|
|
1071 | 1063 | "metadata": {}, |
|
|
1072 | 1064 | "outputs": [ |
|
|
1073 | 1065 | { |
|
|
1074 | 1066 | "output_type": "stream", |
|
|
1075 | 1067 | "stream": "stdout", |
|
|
1076 | 1068 | "text": [ |
|
|
1077 | 1069 | "setting up X\n", |
|
|
1078 | 1070 | "step 2: constructing y-data\n", |
|
|
1079 | 1071 | "step 3: display info about y\n", |
|
|
1080 | 1072 | "okay, I'm done now\n" |
|
|
1081 | 1073 | ] |
|
|
1074 | }, | |
|
|
1075 | { | |
|
|
1076 | "metadata": {}, | |
|
|
1077 | "output_type": "display_data", | |
|
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1078 | "png": 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pLFoErVtDejr06mU7kTNpQbSIiGV79kDLlqbVOGIEBAXZTuQdtCBaRMQhqlUz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\nRK5CYII=\n", | |
|
|
1079 | "text": [ | |
|
|
1080 | "<matplotlib.figure.Figure at 0x3817cd0>" | |
|
|
1081 | ] | |
|
|
1082 | 1082 | } |
|
|
1083 | 1083 | ], |
|
|
1084 | 1084 | "prompt_number": 18 |
|
|
1085 | 1085 | }, |
|
|
1086 | 1086 | { |
|
|
1087 | 1087 | "cell_type": "markdown", |
|
|
1088 | 1088 | "metadata": {}, |
|
|
1089 | 1089 | "source": [ |
|
|
1090 |
"And you can selectively disable capturing stdout |
|
|
|
1090 | "And you can selectively disable capturing stdout, stderr or rich display, by passing `--no-stdout`, `--no-stderr` and `--no-display`" | |
|
|
1091 | 1091 | ] |
|
|
1092 | 1092 | }, |
|
|
1093 | 1093 | { |
|
|
1094 | 1094 | "cell_type": "code", |
|
|
1095 | 1095 | "collapsed": false, |
|
|
1096 | 1096 | "input": [ |
|
|
1097 | 1097 | "%%capture cap --no-stderr\n", |
|
|
1098 | 1098 | "print('hi, stdout')\n", |
|
|
1099 | 1099 | "print(\"hello, stderr\", file=sys.stderr)" |
|
|
1100 | 1100 | ], |
|
|
1101 | 1101 | "language": "python", |
|
|
1102 | 1102 | "metadata": {}, |
|
|
1103 | 1103 | "outputs": [ |
|
|
1104 | 1104 | { |
|
|
1105 | 1105 | "output_type": "stream", |
|
|
1106 | 1106 | "stream": "stderr", |
|
|
1107 | 1107 | "text": [ |
|
|
1108 | "hello, stderr" | |
|
|
1109 | ] | |
|
|
1110 | }, | |
|
|
1111 | { | |
|
|
1112 | "output_type": "stream", | |
|
|
1113 | "stream": "stderr", | |
|
|
1114 | "text": [ | |
|
|
1115 | "\n" | |
|
|
1108 | "hello, stderr\n" | |
|
|
1116 | 1109 | ] |
|
|
1117 | 1110 | } |
|
|
1118 | 1111 | ], |
|
|
1119 | 1112 | "prompt_number": 19 |
|
|
1120 | 1113 | }, |
|
|
1121 | 1114 | { |
|
|
1122 | 1115 | "cell_type": "code", |
|
|
1123 | 1116 | "collapsed": false, |
|
|
1124 | 1117 | "input": [ |
|
|
1125 | 1118 | "cap.stdout" |
|
|
1126 | 1119 | ], |
|
|
1127 | 1120 | "language": "python", |
|
|
1128 | 1121 | "metadata": {}, |
|
|
1129 | 1122 | "outputs": [ |
|
|
1130 | 1123 | { |
|
|
1124 | "metadata": {}, | |
|
|
1131 | 1125 | "output_type": "pyout", |
|
|
1132 | 1126 | "prompt_number": 20, |
|
|
1133 | 1127 | "text": [ |
|
|
1134 | 1128 | "'hi, stdout\\n'" |
|
|
1135 | 1129 | ] |
|
|
1136 | 1130 | } |
|
|
1137 | 1131 | ], |
|
|
1138 | 1132 | "prompt_number": 20 |
|
|
1139 | 1133 | }, |
|
|
1140 | 1134 | { |
|
|
1141 | 1135 | "cell_type": "code", |
|
|
1142 | 1136 | "collapsed": false, |
|
|
1143 | 1137 | "input": [ |
|
|
1144 | 1138 | "cap.stderr" |
|
|
1145 | 1139 | ], |
|
|
1146 | 1140 | "language": "python", |
|
|
1147 | 1141 | "metadata": {}, |
|
|
1148 | 1142 | "outputs": [ |
|
|
1149 | 1143 | { |
|
|
1144 | "metadata": {}, | |
|
|
1150 | 1145 | "output_type": "pyout", |
|
|
1151 | 1146 | "prompt_number": 21, |
|
|
1152 | 1147 | "text": [ |
|
|
1153 | 1148 | "''" |
|
|
1154 | 1149 | ] |
|
|
1155 | 1150 | } |
|
|
1156 | 1151 | ], |
|
|
1157 | 1152 | "prompt_number": 21 |
|
|
1153 | }, | |
|
|
1154 | { | |
|
|
1155 | "cell_type": "code", | |
|
|
1156 | "collapsed": false, | |
|
|
1157 | "input": [ | |
|
|
1158 | "cap.outputs" | |
|
|
1159 | ], | |
|
|
1160 | "language": "python", | |
|
|
1161 | "metadata": {}, | |
|
|
1162 | "outputs": [ | |
|
|
1163 | { | |
|
|
1164 | "metadata": {}, | |
|
|
1165 | "output_type": "pyout", | |
|
|
1166 | "prompt_number": 22, | |
|
|
1167 | "text": [ | |
|
|
1168 | "[]" | |
|
|
1169 | ] | |
|
|
1170 | } | |
|
|
1171 | ], | |
|
|
1172 | "prompt_number": 22 | |
|
|
1158 | 1173 | } |
|
|
1159 | 1174 | ], |
|
|
1160 | 1175 | "metadata": {} |
|
|
1161 | 1176 | } |
|
|
1162 | 1177 | ] |
|
|
1163 | 1178 | } No newline at end of file |
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