Mercurial > repos > bcclaywell > argo_navis
annotate venv/lib/python2.7/site-packages/docutils/transforms/frontmatter.py @ 0:d67268158946 draft
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author | bcclaywell |
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date | Mon, 12 Oct 2015 17:43:33 -0400 |
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1 # $Id: frontmatter.py 7595 2013-01-21 17:33:56Z milde $ |
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2 # Author: David Goodger, Ueli Schlaepfer <goodger@python.org> |
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3 # Copyright: This module has been placed in the public domain. |
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4 |
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5 """ |
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6 Transforms related to the front matter of a document or a section |
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7 (information found before the main text): |
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8 |
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9 - `DocTitle`: Used to transform a lone top level section's title to |
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10 the document title, promote a remaining lone top-level section's |
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11 title to the document subtitle, and determine the document's title |
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12 metadata (document['title']) based on the document title and/or the |
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13 "title" setting. |
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14 |
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15 - `SectionSubTitle`: Used to transform a lone subsection into a |
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16 subtitle. |
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17 |
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18 - `DocInfo`: Used to transform a bibliographic field list into docinfo |
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19 elements. |
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20 """ |
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21 |
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22 __docformat__ = 'reStructuredText' |
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23 |
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24 import re |
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25 from docutils import nodes, utils |
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26 from docutils.transforms import TransformError, Transform |
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27 |
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28 |
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29 class TitlePromoter(Transform): |
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30 |
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31 """ |
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32 Abstract base class for DocTitle and SectionSubTitle transforms. |
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33 """ |
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34 |
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35 def promote_title(self, node): |
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36 """ |
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37 Transform the following tree:: |
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38 |
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39 <node> |
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40 <section> |
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41 <title> |
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42 ... |
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43 |
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44 into :: |
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45 |
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46 <node> |
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47 <title> |
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48 ... |
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49 |
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50 `node` is normally a document. |
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51 """ |
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52 # Type check |
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53 if not isinstance(node, nodes.Element): |
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54 raise TypeError, 'node must be of Element-derived type.' |
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55 |
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56 # `node` must not have a title yet. |
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57 assert not (len(node) and isinstance(node[0], nodes.title)) |
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58 section, index = self.candidate_index(node) |
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59 if index is None: |
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60 return None |
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61 |
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62 # Transfer the section's attributes to the node: |
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63 # NOTE: Change second parameter to False to NOT replace |
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64 # attributes that already exist in node with those in |
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65 # section |
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66 # NOTE: Remove third parameter to NOT copy the 'source' |
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67 # attribute from section |
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68 node.update_all_atts_concatenating(section, True, True) |
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69 |
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70 # setup_child is called automatically for all nodes. |
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71 node[:] = (section[:1] # section title |
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72 + node[:index] # everything that was in the |
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73 # node before the section |
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74 + section[1:]) # everything that was in the section |
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75 assert isinstance(node[0], nodes.title) |
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76 return 1 |
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77 |
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78 def promote_subtitle(self, node): |
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79 """ |
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80 Transform the following node tree:: |
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81 |
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82 <node> |
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83 <title> |
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84 <section> |
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85 <title> |
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86 ... |
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87 |
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88 into :: |
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89 |
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90 <node> |
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91 <title> |
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92 <subtitle> |
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93 ... |
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94 """ |
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95 # Type check |
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96 if not isinstance(node, nodes.Element): |
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97 raise TypeError, 'node must be of Element-derived type.' |
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98 |
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99 subsection, index = self.candidate_index(node) |
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100 if index is None: |
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101 return None |
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102 subtitle = nodes.subtitle() |
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103 |
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104 # Transfer the subsection's attributes to the new subtitle |
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105 # NOTE: Change second parameter to False to NOT replace |
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106 # attributes that already exist in node with those in |
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107 # section |
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108 # NOTE: Remove third parameter to NOT copy the 'source' |
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109 # attribute from section |
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110 subtitle.update_all_atts_concatenating(subsection, True, True) |
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111 |
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112 # Transfer the contents of the subsection's title to the |
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113 # subtitle: |
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114 subtitle[:] = subsection[0][:] |
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115 node[:] = (node[:1] # title |
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116 + [subtitle] |
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117 # everything that was before the section: |
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118 + node[1:index] |
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119 # everything that was in the subsection: |
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120 + subsection[1:]) |
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121 return 1 |
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122 |
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123 def candidate_index(self, node): |
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124 """ |
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125 Find and return the promotion candidate and its index. |
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126 |
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127 Return (None, None) if no valid candidate was found. |
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128 """ |
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129 index = node.first_child_not_matching_class( |
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130 nodes.PreBibliographic) |
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131 if index is None or len(node) > (index + 1) or \ |
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132 not isinstance(node[index], nodes.section): |
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133 return None, None |
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134 else: |
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135 return node[index], index |
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136 |
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137 |
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138 class DocTitle(TitlePromoter): |
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139 |
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140 """ |
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141 In reStructuredText_, there is no way to specify a document title |
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142 and subtitle explicitly. Instead, we can supply the document title |
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143 (and possibly the subtitle as well) implicitly, and use this |
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144 two-step transform to "raise" or "promote" the title(s) (and their |
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145 corresponding section contents) to the document level. |
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146 |
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147 1. If the document contains a single top-level section as its |
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148 first non-comment element, the top-level section's title |
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149 becomes the document's title, and the top-level section's |
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150 contents become the document's immediate contents. The lone |
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151 top-level section header must be the first non-comment element |
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152 in the document. |
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153 |
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154 For example, take this input text:: |
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155 |
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156 ================= |
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157 Top-Level Title |
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158 ================= |
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159 |
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160 A paragraph. |
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161 |
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162 Once parsed, it looks like this:: |
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163 |
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164 <document> |
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165 <section names="top-level title"> |
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166 <title> |
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167 Top-Level Title |
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168 <paragraph> |
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169 A paragraph. |
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170 |
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171 After running the DocTitle transform, we have:: |
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172 |
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173 <document names="top-level title"> |
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174 <title> |
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175 Top-Level Title |
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176 <paragraph> |
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177 A paragraph. |
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178 |
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179 2. If step 1 successfully determines the document title, we |
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180 continue by checking for a subtitle. |
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181 |
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182 If the lone top-level section itself contains a single |
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183 second-level section as its first non-comment element, that |
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184 section's title is promoted to the document's subtitle, and |
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185 that section's contents become the document's immediate |
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186 contents. Given this input text:: |
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187 |
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188 ================= |
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189 Top-Level Title |
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190 ================= |
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191 |
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192 Second-Level Title |
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193 ~~~~~~~~~~~~~~~~~~ |
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194 |
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195 A paragraph. |
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196 |
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197 After parsing and running the Section Promotion transform, the |
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198 result is:: |
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199 |
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200 <document names="top-level title"> |
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201 <title> |
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202 Top-Level Title |
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203 <subtitle names="second-level title"> |
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204 Second-Level Title |
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205 <paragraph> |
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206 A paragraph. |
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207 |
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208 (Note that the implicit hyperlink target generated by the |
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209 "Second-Level Title" is preserved on the "subtitle" element |
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210 itself.) |
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211 |
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212 Any comment elements occurring before the document title or |
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213 subtitle are accumulated and inserted as the first body elements |
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214 after the title(s). |
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215 |
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216 This transform also sets the document's metadata title |
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217 (document['title']). |
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218 |
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219 .. _reStructuredText: http://docutils.sf.net/rst.html |
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220 """ |
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221 |
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222 default_priority = 320 |
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223 |
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224 def set_metadata(self): |
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225 """ |
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226 Set document['title'] metadata title from the following |
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227 sources, listed in order of priority: |
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228 |
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229 * Existing document['title'] attribute. |
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230 * "title" setting. |
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231 * Document title node (as promoted by promote_title). |
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232 """ |
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233 if not self.document.hasattr('title'): |
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234 if self.document.settings.title is not None: |
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235 self.document['title'] = self.document.settings.title |
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236 elif len(self.document) and isinstance(self.document[0], nodes.title): |
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237 self.document['title'] = self.document[0].astext() |
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238 |
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239 def apply(self): |
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240 if getattr(self.document.settings, 'doctitle_xform', 1): |
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241 # promote_(sub)title defined in TitlePromoter base class. |
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242 if self.promote_title(self.document): |
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243 # If a title has been promoted, also try to promote a |
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244 # subtitle. |
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245 self.promote_subtitle(self.document) |
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246 # Set document['title']. |
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247 self.set_metadata() |
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248 |
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249 |
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250 class SectionSubTitle(TitlePromoter): |
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251 |
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252 """ |
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253 This works like document subtitles, but for sections. For example, :: |
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254 |
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255 <section> |
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256 <title> |
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257 Title |
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258 <section> |
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259 <title> |
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260 Subtitle |
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261 ... |
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262 |
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263 is transformed into :: |
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264 |
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265 <section> |
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266 <title> |
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267 Title |
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268 <subtitle> |
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269 Subtitle |
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270 ... |
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271 |
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272 For details refer to the docstring of DocTitle. |
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273 """ |
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274 |
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275 default_priority = 350 |
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276 |
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277 def apply(self): |
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278 if not getattr(self.document.settings, 'sectsubtitle_xform', 1): |
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279 return |
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280 for section in self.document.traverse(nodes.section): |
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281 # On our way through the node tree, we are deleting |
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282 # sections, but we call self.promote_subtitle for those |
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283 # sections nonetheless. To do: Write a test case which |
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284 # shows the problem and discuss on Docutils-develop. |
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285 self.promote_subtitle(section) |
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286 |
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287 |
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288 class DocInfo(Transform): |
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289 |
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290 """ |
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291 This transform is specific to the reStructuredText_ markup syntax; |
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292 see "Bibliographic Fields" in the `reStructuredText Markup |
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293 Specification`_ for a high-level description. This transform |
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294 should be run *after* the `DocTitle` transform. |
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295 |
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296 Given a field list as the first non-comment element after the |
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297 document title and subtitle (if present), registered bibliographic |
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298 field names are transformed to the corresponding DTD elements, |
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299 becoming child elements of the "docinfo" element (except for a |
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300 dedication and/or an abstract, which become "topic" elements after |
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301 "docinfo"). |
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302 |
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303 For example, given this document fragment after parsing:: |
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304 |
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305 <document> |
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306 <title> |
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307 Document Title |
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308 <field_list> |
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309 <field> |
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310 <field_name> |
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311 Author |
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312 <field_body> |
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313 <paragraph> |
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314 A. Name |
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315 <field> |
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316 <field_name> |
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317 Status |
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318 <field_body> |
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319 <paragraph> |
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320 $RCSfile$ |
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321 ... |
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322 |
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323 After running the bibliographic field list transform, the |
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324 resulting document tree would look like this:: |
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325 |
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326 <document> |
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327 <title> |
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328 Document Title |
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329 <docinfo> |
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330 <author> |
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331 A. Name |
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332 <status> |
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333 frontmatter.py |
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334 ... |
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335 |
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336 The "Status" field contained an expanded RCS keyword, which is |
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337 normally (but optionally) cleaned up by the transform. The sole |
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338 contents of the field body must be a paragraph containing an |
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339 expanded RCS keyword of the form "$keyword: expansion text $". Any |
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340 RCS keyword can be processed in any bibliographic field. The |
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341 dollar signs and leading RCS keyword name are removed. Extra |
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342 processing is done for the following RCS keywords: |
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343 |
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344 - "RCSfile" expands to the name of the file in the RCS or CVS |
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345 repository, which is the name of the source file with a ",v" |
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346 suffix appended. The transform will remove the ",v" suffix. |
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347 |
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348 - "Date" expands to the format "YYYY/MM/DD hh:mm:ss" (in the UTC |
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349 time zone). The RCS Keywords transform will extract just the |
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350 date itself and transform it to an ISO 8601 format date, as in |
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351 "2000-12-31". |
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352 |
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353 (Since the source file for this text is itself stored under CVS, |
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354 we can't show an example of the "Date" RCS keyword because we |
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355 can't prevent any RCS keywords used in this explanation from |
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356 being expanded. Only the "RCSfile" keyword is stable; its |
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357 expansion text changes only if the file name changes.) |
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358 |
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359 .. _reStructuredText: http://docutils.sf.net/rst.html |
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360 .. _reStructuredText Markup Specification: |
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361 http://docutils.sf.net/docs/ref/rst/restructuredtext.html |
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362 """ |
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363 |
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364 default_priority = 340 |
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365 |
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366 biblio_nodes = { |
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367 'author': nodes.author, |
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368 'authors': nodes.authors, |
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369 'organization': nodes.organization, |
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370 'address': nodes.address, |
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371 'contact': nodes.contact, |
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372 'version': nodes.version, |
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373 'revision': nodes.revision, |
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374 'status': nodes.status, |
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375 'date': nodes.date, |
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376 'copyright': nodes.copyright, |
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377 'dedication': nodes.topic, |
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378 'abstract': nodes.topic} |
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379 """Canonical field name (lowcased) to node class name mapping for |
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380 bibliographic fields (field_list).""" |
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381 |
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382 def apply(self): |
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383 if not getattr(self.document.settings, 'docinfo_xform', 1): |
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384 return |
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385 document = self.document |
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386 index = document.first_child_not_matching_class( |
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387 nodes.PreBibliographic) |
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388 if index is None: |
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389 return |
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390 candidate = document[index] |
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391 if isinstance(candidate, nodes.field_list): |
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392 biblioindex = document.first_child_not_matching_class( |
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393 (nodes.Titular, nodes.Decorative)) |
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394 nodelist = self.extract_bibliographic(candidate) |
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395 del document[index] # untransformed field list (candidate) |
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396 document[biblioindex:biblioindex] = nodelist |
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397 |
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398 def extract_bibliographic(self, field_list): |
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399 docinfo = nodes.docinfo() |
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400 bibliofields = self.language.bibliographic_fields |
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401 labels = self.language.labels |
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402 topics = {'dedication': None, 'abstract': None} |
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403 for field in field_list: |
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404 try: |
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405 name = field[0][0].astext() |
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406 normedname = nodes.fully_normalize_name(name) |
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407 if not (len(field) == 2 and normedname in bibliofields |
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408 and self.check_empty_biblio_field(field, name)): |
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409 raise TransformError |
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410 canonical = bibliofields[normedname] |
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411 biblioclass = self.biblio_nodes[canonical] |
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412 if issubclass(biblioclass, nodes.TextElement): |
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413 if not self.check_compound_biblio_field(field, name): |
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414 raise TransformError |
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415 utils.clean_rcs_keywords( |
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416 field[1][0], self.rcs_keyword_substitutions) |
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417 docinfo.append(biblioclass('', '', *field[1][0])) |
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418 elif issubclass(biblioclass, nodes.authors): |
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419 self.extract_authors(field, name, docinfo) |
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420 elif issubclass(biblioclass, nodes.topic): |
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421 if topics[canonical]: |
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422 field[-1] += self.document.reporter.warning( |
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423 'There can only be one "%s" field.' % name, |
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424 base_node=field) |
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425 raise TransformError |
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426 title = nodes.title(name, labels[canonical]) |
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427 topics[canonical] = biblioclass( |
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428 '', title, classes=[canonical], *field[1].children) |
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429 else: |
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430 docinfo.append(biblioclass('', *field[1].children)) |
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431 except TransformError: |
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432 if len(field[-1]) == 1 \ |
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433 and isinstance(field[-1][0], nodes.paragraph): |
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434 utils.clean_rcs_keywords( |
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435 field[-1][0], self.rcs_keyword_substitutions) |
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436 docinfo.append(field) |
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437 nodelist = [] |
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438 if len(docinfo) != 0: |
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439 nodelist.append(docinfo) |
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440 for name in ('dedication', 'abstract'): |
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441 if topics[name]: |
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442 nodelist.append(topics[name]) |
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443 return nodelist |
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444 |
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445 def check_empty_biblio_field(self, field, name): |
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446 if len(field[-1]) < 1: |
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447 field[-1] += self.document.reporter.warning( |
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448 'Cannot extract empty bibliographic field "%s".' % name, |
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449 base_node=field) |
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450 return None |
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451 return 1 |
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452 |
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453 def check_compound_biblio_field(self, field, name): |
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454 if len(field[-1]) > 1: |
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455 field[-1] += self.document.reporter.warning( |
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456 'Cannot extract compound bibliographic field "%s".' % name, |
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457 base_node=field) |
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458 return None |
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459 if not isinstance(field[-1][0], nodes.paragraph): |
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460 field[-1] += self.document.reporter.warning( |
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461 'Cannot extract bibliographic field "%s" containing ' |
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462 'anything other than a single paragraph.' % name, |
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463 base_node=field) |
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464 return None |
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465 return 1 |
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466 |
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467 rcs_keyword_substitutions = [ |
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468 (re.compile(r'\$' r'Date: (\d\d\d\d)[-/](\d\d)[-/](\d\d)[ T][\d:]+' |
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469 r'[^$]* \$', re.IGNORECASE), r'\1-\2-\3'), |
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470 (re.compile(r'\$' r'RCSfile: (.+),v \$', re.IGNORECASE), r'\1'), |
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471 (re.compile(r'\$[a-zA-Z]+: (.+) \$'), r'\1'),] |
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472 |
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473 def extract_authors(self, field, name, docinfo): |
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474 try: |
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475 if len(field[1]) == 1: |
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476 if isinstance(field[1][0], nodes.paragraph): |
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477 authors = self.authors_from_one_paragraph(field) |
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478 elif isinstance(field[1][0], nodes.bullet_list): |
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479 authors = self.authors_from_bullet_list(field) |
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480 else: |
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481 raise TransformError |
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482 else: |
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483 authors = self.authors_from_paragraphs(field) |
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484 authornodes = [nodes.author('', '', *author) |
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485 for author in authors if author] |
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486 if len(authornodes) >= 1: |
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487 docinfo.append(nodes.authors('', *authornodes)) |
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488 else: |
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489 raise TransformError |
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490 except TransformError: |
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491 field[-1] += self.document.reporter.warning( |
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492 'Bibliographic field "%s" incompatible with extraction: ' |
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493 'it must contain either a single paragraph (with authors ' |
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494 'separated by one of "%s"), multiple paragraphs (one per ' |
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495 'author), or a bullet list with one paragraph (one author) ' |
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496 'per item.' |
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497 % (name, ''.join(self.language.author_separators)), |
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498 base_node=field) |
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499 raise |
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500 |
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501 def authors_from_one_paragraph(self, field): |
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502 text = field[1][0].astext().strip() |
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503 if not text: |
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504 raise TransformError |
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505 for authorsep in self.language.author_separators: |
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506 authornames = text.split(authorsep) |
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507 if len(authornames) > 1: |
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508 break |
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509 authornames = [author.strip() for author in authornames] |
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510 authors = [[nodes.Text(author)] for author in authornames if author] |
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511 return authors |
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512 |
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513 def authors_from_bullet_list(self, field): |
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514 authors = [] |
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515 for item in field[1][0]: |
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516 if len(item) != 1 or not isinstance(item[0], nodes.paragraph): |
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517 raise TransformError |
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518 authors.append(item[0].children) |
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519 if not authors: |
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520 raise TransformError |
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521 return authors |
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522 |
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523 def authors_from_paragraphs(self, field): |
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524 for item in field[1]: |
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525 if not isinstance(item, nodes.paragraph): |
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526 raise TransformError |
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527 authors = [item.children for item in field[1]] |
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528 return authors |